diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 00000000..466db493 Binary files /dev/null and b/.DS_Store differ diff --git a/.Rprofile b/.Rprofile index 1a2d4e16..d00fc6a0 100644 --- a/.Rprofile +++ b/.Rprofile @@ -1,4 +1,4 @@ -source("renv/activate.R") +# source("renv/activate.R") # Run the global .Rprofile if it exists if (file.exists("~/.Rprofile")) { diff --git a/.github/workflows/jekyll-gh-pages.yml b/.github/workflows/jekyll-gh-pages.yml new file mode 100644 index 00000000..559bddf5 --- /dev/null +++ b/.github/workflows/jekyll-gh-pages.yml @@ -0,0 +1,51 @@ +# Sample workflow for building and deploying a Jekyll site to GitHub Pages +name: Deploy Jekyll with GitHub Pages dependencies preinstalled + +on: + # Runs on pushes targeting the default branch + push: + branches: ["main"] + + # Allows you to run this workflow manually from the Actions tab + workflow_dispatch: + +# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages +permissions: + contents: read + pages: write + id-token: write + +# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. +# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + # Build job + build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v3 + - name: Setup Pages + uses: actions/configure-pages@v3 + - name: Build with Jekyll + uses: actions/jekyll-build-pages@v1 + with: + source: ./ + destination: ./_site + - name: Upload artifact + uses: actions/upload-pages-artifact@v2 + + # Deployment job + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + runs-on: ubuntu-latest + needs: build + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v2 diff --git a/.github/workflows/update-readme.yml b/.github/workflows/update-readme.yml new file mode 100644 index 00000000..e4b42f5f --- /dev/null +++ b/.github/workflows/update-readme.yml @@ -0,0 +1,16 @@ +name: Update README + +on: + schedule: + - cron: '*/30 * * * *' + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v2 + - uses: jamesgeorge007/github-activity-readme@master + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.gitignore b/.gitignore index 2be2ec94..3e788af0 100644 --- a/.gitignore +++ b/.gitignore @@ -8,15 +8,15 @@ /_freeze/ slides/*.pdf -slides/*.html +# slides/*.html slides/**/*_cache/* projects/*.zip # knitr and caching stuff -**/*_files/* +# **/*_files/* **/*_cache/* !README_files/* files/incomplete-reports.zip -/.luarc.json + diff --git a/.luarc.json b/.luarc.json new file mode 100644 index 00000000..75530edc --- /dev/null +++ b/.luarc.json @@ -0,0 +1,22 @@ +{ + "Generator": [ + "Quarto", + "This file provides type information for Lua completion and diagnostics.", + "Quarto will automatically update this file to reflect the current path", + "of your Quarto installation, and the file will also be added to .gitignore", + "since it points to the absolute path of Quarto on the local system.", + "Remove the 'Generator' key to manage this file's contents manually." + ], + "Lua.runtime.version": "Lua 5.3", + "Lua.workspace.checkThirdParty": false, + "Lua.workspace.library": [ + "/opt/quarto/share/lua-types" + ], + "Lua.runtime.plugin": "/opt/quarto/share/lua-plugin/plugin.lua", + "Lua.completion.showWord": "Disable", + "Lua.completion.keywordSnippet": "Both", + "Lua.diagnostics.disable": [ + "lowercase-global", + "trailing-space" + ] +} \ No newline at end of file diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..08f58a72 --- /dev/null +++ b/.nojekyll @@ -0,0 +1 @@ +touch .nojekyll diff --git a/04_corr-exensiones_files/figure-html/matriz31_auto_01_output-1.png 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--git a/04_corr-extensiones_files/figure-html/matriz3_auto_02_output-1.png b/04_corr-extensiones_files/figure-html/matriz3_auto_02_output-1.png new file mode 100644 index 00000000..4e15ec30 Binary files /dev/null and b/04_corr-extensiones_files/figure-html/matriz3_auto_02_output-1.png differ diff --git a/04_corr-extensiones_files/figure-html/matriz4_auto_01_output-1.png b/04_corr-extensiones_files/figure-html/matriz4_auto_01_output-1.png new file mode 100644 index 00000000..c4d5e223 Binary files /dev/null and b/04_corr-extensiones_files/figure-html/matriz4_auto_01_output-1.png differ diff --git a/04_corr-extensiones_files/figure-html/matriz5_auto_01_output-1.png b/04_corr-extensiones_files/figure-html/matriz5_auto_01_output-1.png new file mode 100644 index 00000000..9eee9155 Binary files /dev/null and b/04_corr-extensiones_files/figure-html/matriz5_auto_01_output-1.png differ diff --git a/04_corr-extensiones_files/figure-html/matriz6_auto_01_output-1.png b/04_corr-extensiones_files/figure-html/matriz6_auto_01_output-1.png new file mode 100644 index 00000000..31c2af37 Binary files /dev/null and b/04_corr-extensiones_files/figure-html/matriz6_auto_01_output-1.png differ diff --git a/04_corr-extensiones_files/figure-html/matriz7_auto_01_output-1.png b/04_corr-extensiones_files/figure-html/matriz7_auto_01_output-1.png new file mode 100644 index 00000000..1664b78c Binary files /dev/null and b/04_corr-extensiones_files/figure-html/matriz7_auto_01_output-1.png differ diff --git a/README.md b/README.md index e806743e..91382a32 100644 --- a/README.md +++ b/README.md @@ -1,216 +1,11 @@ -# Program Evaluation for Public Service +# Estadística Correlacional: Asociación, inferencia y reporte -[PMAP 8521 • Spring 2023](https://evalsp23.classes.andrewheiss.com/) -[Andrew Heiss](https://www.andrewheiss.com/) • Andrew Young School of -Policy Studies • Georgia State University +Web: [correlacional.netlify.com](https://correlacional.netlify.app) ------------------------------------------------------------------------- +Este sitio es un fork de Andrew Heiss, [andrewheiss/evalsp23.classes.andrewheiss.com](https://github.com/andrewheiss/evalsp23.classes.andrewheiss.com) -**[Quarto](https://quarto.org/) + -[{targets}](https://docs.ropensci.org/targets/) + -[{renv}](https://rstudio.github.io/renv/) + -[{xaringan}](https://github.com/yihui/xaringan) = magic! 🪄** ------------------------------------------------------------------------- - -## How to build the site - -1. Install - [RStudio](https://www.rstudio.com/products/rstudio/download/#download) - version 2022.07.1 or later since it has a - [Quarto](https://quarto.org/) installation embedded in it. - Otherwise, download and install [Quarto](https://quarto.org/) - separately. -2. Open `evalsp23.Rproj` to open an [RStudio - Project](https://r4ds.had.co.nz/workflow-projects.html). -3. If it’s not installed already, R *should* try to install the [{renv} - package](https://rstudio.github.io/renv/) when you open the RStudio - Project for the first time. If you don’t see a message about package - installation, install it yourself by running - `install.packages("renv")` in the R console. -4. Run `renv::restore()` in the R console to install all the required - packages for this project. -5. Run `targets::tar_make()` in the R console to build everything. -6. 🎉 All done! 🎉 The complete website will be in a folder named - `_site/`. - -## {targets} pipeline - -I use the [{targets} package](https://docs.ropensci.org/targets/) to -build this site and all its supporting files. The complete pipeline is -defined in [`_targets.R`](_targets.R) and can be run in the R console -with: - -``` r -targets::tar_make() -``` - -The pipeline does several major tasks: - -- **Create supporting data files**: The problem sets and examples I use - throughout the course use many different datasets that come - prepackaged in R packages, I downloaded from sources online, or that I - generated myself. To make sure I and my students are using the latest, - most correct datasets, the functions in [`R/tar_data.R`](R/tar_data.R) - save and/or generate these datasets prior to building the website. - -- **Compress project folders**: To make it easier to distribute problem - sets and in-class activities to students, I compress all the folders - in the [`/projects/`](/projects/) folder so that students can download - and unzip a self-contained RStudio Project as a `.zip` file. These - targets are [dynamically - generated](https://books.ropensci.org/targets/dynamic.html) so that - any new folder that is added to `/projects/` will automatically be - zipped up when running the pipeline. - -- **Render xaringan slides to HTML and PDF**: Quarto supports HTML-based - slideshows through - [reveal.js](https://quarto.org/docs/presentations/revealjs/). However, - I created all my slides using - [{xaringan}](https://github.com/yihui/xaringan), which is based on - [remark.js](https://remarkjs.com/) and doesn’t work with Quarto. - Since (1) I recorded all the class videos using my {xaringan} slides - with a fancy template I made, and (2) I don’t want to recreate my - fancy template in reveal.js yet, I want to keep using {xaringan}. - - The pipeline [dynamically generates - targets](https://books.ropensci.org/targets/dynamic.html) for all the - `.Rmd` files in [`/slides/`](/slides/) and renders them using R - Markdown rather than Quarto. - - The pipeline then uses - [{renderthis}](https://jhelvy.github.io/renderthis/) to convert each - set of HTML slides into PDFs. - -- **Build Quarto website**: This project is a [Quarto - website](https://quarto.org/docs/websites/), which compiles and - stitches together all the `.qmd` files in this project based on the - settings in [`_quarto.yml`](_quarto.yml). See the [Quarto website - documentation](https://quarto.org/docs/websites/) for more details. - -- **Upload resulting `_site/` folder to my remote server**: Quarto - places the compiled website in a folder named `/_site/`. The pipeline - uses `rsync` to upload this folder to my personal remote server. This - target will only run if the `UPLOAD_WEBSITES` environment variable is - set to `TRUE`, and it will only work if you have an SSH key set up on - my personal server, which only I do. - -The complete pipeline looks like this: - -(This uses [`mermaid.js` -syntax](https://mermaid-js.github.io/mermaid/) and should display as a -graph on GitHub. You can also view it by pasting the code into -.) - -``` mermaid -graph LR - subgraph Graph - direction LR - x7ece18ea4dfd37ad(["data_barrels_rct"]):::queued --> x04215792a9a4d36b(["copy_barrels_rct"]):::queued - x1a70645cdb0e8eb9(["gen_barrels"]):::built --> x7ece18ea4dfd37ad(["data_barrels_rct"]):::queued - x676cecdcd5eb7813(["data_plot_barrel_dag_obs"]):::queued --> xa7f6f0c1b16f542a(["copy_plot_barrel_dag_obs"]):::queued - xdf832f8e1f99baf2(["schedule_file"]):::built --> x35552a73efe9c59f(["schedule_ical_data"]):::queued - x9061f97ff2027ff8(["data_attendance"]):::queued --> x7b056887098d4c56(["copy_attendance"]):::queued - x9c20b8c56debbe9a(["deploy_script"]):::built --> x78f3e0b711425f1c(["deploy_site"]):::queued - x7aa56383a054e8ba(["site"]):::queued --> x78f3e0b711425f1c(["deploy_site"]):::queued - x7b056887098d4c56(["copy_attendance"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - x3b13eed8c2f4209e(["copy_barrels_obs"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - x04215792a9a4d36b(["copy_barrels_rct"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - xbbb6d7ed9a6f640a(["copy_eitc"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued - xf17ad1e9c3822d18(["copy_evaluation"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued - xf812cd9b8b5444a5(["copy_food_health_politics"]):::built --> x41092a7251862a9e(["copy_data"]):::queued - xd2260b533f1829cb(["copy_monthly_panel"]):::built --> x41092a7251862a9e(["copy_data"]):::queued - x2a5bb41380dcc5b0(["copy_penguins"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - xa7f6f0c1b16f542a(["copy_plot_barrel_dag_obs"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - x6271c0b6a170e94e(["copy_plot_barrel_dag_rct"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - x9c50e551b1b09085(["copy_public_housing"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued - x0897796b858a5b3d(["copy_wage"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued - xb4844be3dca7f02b(["project_paths"]):::queued --> x7a8b235bff1bfb75["project_files"]:::queued - x1917c787a0a4a0fd["project_zips"]:::queued --> x7aa56383a054e8ba(["site"]):::queued - x4d31f5a49d5ae49f(["schedule_ical_file"]):::queued --> x7aa56383a054e8ba(["site"]):::queued - x063edd335cc1b36f(["schedule_page_data"]):::queued --> x7aa56383a054e8ba(["site"]):::queued - xccbb2c85646c611a["xaringan_pdfs"]:::queued --> x7aa56383a054e8ba(["site"]):::queued - x60c212b45249134a["xaringan_slides"]:::queued --> x7aa56383a054e8ba(["site"]):::queued - xdf832f8e1f99baf2(["schedule_file"]):::built --> x063edd335cc1b36f(["schedule_page_data"]):::queued - xccb29afdb6aede8f(["gen_nets"]):::queued --> xbe28472fe2bce29e(["data_nets"]):::queued - xa48826fcb4dc2e34(["project_paths_change"]):::queued --> xb4844be3dca7f02b(["project_paths"]):::queued - x20b85e3488818f5e(["gen_data_tutoring"]):::queued --> x5cef82ddbf74dbd2(["gen_data_tutoring_sharp"]):::queued - x9061f97ff2027ff8(["data_attendance"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xcd68d1a7c07ebab6(["data_barrels_obs"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x7ece18ea4dfd37ad(["data_barrels_rct"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xcd2bd51d3f2880dc(["data_bed_nets_real"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x10e4e9d82e7b691d(["data_bed_nets_time_machine"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xdba7a42d19fbbe49(["data_card"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x068350206b5f4fee(["data_father_educ"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x8288901d8e9e8d55(["data_gapminder"]):::built --> xb453b5ae08dcaee7(["build_data"]):::queued - x81182810f96b04c1(["data_injury"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x182180f03bcfc8dc(["data_mpg"]):::built --> xb453b5ae08dcaee7(["build_data"]):::queued - xbe28472fe2bce29e(["data_nets"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xa3d8306cecf136f4(["data_penguins"]):::skipped --> xb453b5ae08dcaee7(["build_data"]):::queued - x676cecdcd5eb7813(["data_plot_barrel_dag_obs"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xc72ce427df7cb6d6(["data_plot_barrel_dag_rct"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x313ad24da404b651(["data_tutoring_fuzzy"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x6182dfd3a1ca6e02(["data_tutoring_sharp"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x7ba0dec890393ab6(["data_village_obs"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x4df77a4d5c017917(["data_village_rct"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x9a78ab75449e880d(["data_wage"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - xb9fb625c05443344(["data_wage2"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued - x1a70645cdb0e8eb9(["gen_barrels"]):::built --> xcd68d1a7c07ebab6(["data_barrels_obs"]):::queued - xc5cdd24fb6bd9f0e(["gen_village"]):::queued --> x4df77a4d5c017917(["data_village_rct"]):::queued - x4a210bdf90796bca(["xaringan_files_files"]):::built --> xf4774655f169db90["xaringan_files"]:::queued - x9d65856d614f77f4(["gen_data_bed_nets_real"]):::queued --> xcd2bd51d3f2880dc(["data_bed_nets_real"]):::queued - x7a0d40becb063bda(["xaringan_html_files_files"]):::queued --> x0751853b619def05["xaringan_html_files"]:::queued - xf4774655f169db90["xaringan_files"]:::queued --> x60c212b45249134a["xaringan_slides"]:::queued - x6deca4ab95db78c5(["gen_data_bed_nets"]):::queued --> x9d65856d614f77f4(["gen_data_bed_nets_real"]):::queued - x9a78ab75449e880d(["data_wage"]):::queued --> x0897796b858a5b3d(["copy_wage"]):::queued - xb453b5ae08dcaee7(["build_data"]):::queued --> x1917c787a0a4a0fd["project_zips"]:::queued - x41092a7251862a9e(["copy_data"]):::queued --> x1917c787a0a4a0fd["project_zips"]:::queued - x7a8b235bff1bfb75["project_files"]:::queued --> x1917c787a0a4a0fd["project_zips"]:::queued - x20b85e3488818f5e(["gen_data_tutoring"]):::queued --> x5c240766086c102f(["gen_data_tutoring_fuzzy"]):::queued - x5c240766086c102f(["gen_data_tutoring_fuzzy"]):::queued --> x313ad24da404b651(["data_tutoring_fuzzy"]):::queued - x1b5d71f80f0ded23(["gen_data_father_educ"]):::skipped --> x068350206b5f4fee(["data_father_educ"]):::queued - x60c212b45249134a["xaringan_slides"]:::queued --> x7a0d40becb063bda(["xaringan_html_files_files"]):::queued - x07bd1301298fd82f(["gen_barrel_dags"]):::queued --> xc72ce427df7cb6d6(["data_plot_barrel_dag_rct"]):::queued - x5cef82ddbf74dbd2(["gen_data_tutoring_sharp"]):::queued --> x6182dfd3a1ca6e02(["data_tutoring_sharp"]):::queued - xb91d56300ed67e72(["gen_attendance"]):::built --> x9061f97ff2027ff8(["data_attendance"]):::queued - xf38d3f5e6365ad72(["workflow_graph"]):::started --> x6e52cb0f1668cc22(["readme"]):::queued - x0751853b619def05["xaringan_html_files"]:::queued --> xccbb2c85646c611a["xaringan_pdfs"]:::queued - x07bd1301298fd82f(["gen_barrel_dags"]):::queued --> x676cecdcd5eb7813(["data_plot_barrel_dag_obs"]):::queued - xcd68d1a7c07ebab6(["data_barrels_obs"]):::queued --> x3b13eed8c2f4209e(["copy_barrels_obs"]):::queued - xc5cdd24fb6bd9f0e(["gen_village"]):::queued --> x7ba0dec890393ab6(["data_village_obs"]):::queued - xc72ce427df7cb6d6(["data_plot_barrel_dag_rct"]):::queued --> x6271c0b6a170e94e(["copy_plot_barrel_dag_rct"]):::queued - x35552a73efe9c59f(["schedule_ical_data"]):::queued --> x4d31f5a49d5ae49f(["schedule_ical_file"]):::queued - x6deca4ab95db78c5(["gen_data_bed_nets"]):::queued --> x10e4e9d82e7b691d(["data_bed_nets_time_machine"]):::queued - xa3d8306cecf136f4(["data_penguins"]):::skipped --> x2a5bb41380dcc5b0(["copy_penguins"]):::queued - end -``` - -## Fonts and colors - -The fonts used throughout the site are [Fira Sans -Condensed](https://fonts.google.com/specimen/Fira+Sans+Condensed) (for -headings and titles) and -[Barlow](https://fonts.google.com/specimen/Barlow) (for everything -else). - -The colors for the site and hex logo come from a palette of 8 colors -generated from the [viridis inferno color -map](https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html#the-color-scales): - -``` r -viridisLite::viridis(8, option = "inferno", begin = 0.1, end = 0.9) -``` - - - -## Licenses - -**Text and figures:** All prose and images are licensed under Creative -Commons ([CC-BY-NC -4.0](https://creativecommons.org/licenses/by-nc/4.0/)) - -**Code:** All code is licensed under the [MIT License](LICENSE.md). + diff --git a/_quarto.yml b/_quarto.yml index bd8c2b85..3d574872 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -1,5 +1,6 @@ project: type: website + output-dir: docs render: - "*.qmd" - "!slides/" @@ -9,9 +10,11 @@ project: - "slides/*.html" - "slides/*.pdf" - "slides/img/" + - "slides/images/" - "slides/libs/" - "slides/css/" - "slides/*_files/" + - "slides/*_files/figure-html" # See https://quarto.org/docs/projects/code-execution.html#freeze execute: @@ -19,169 +22,109 @@ execute: bibliography: files/bib/references.bib csl: files/bib/chicago-author-date.csl -description-meta: "Use modern statistical and data scientific tools to measure causal effects and evaluate public policy" +description-meta: "Estadística Correlacional - Inferencia, asociación y reporte" website: - title: "Program Evaluation" - site-url: "https://evalsp23.classes.andrewheiss.com" + title: "Estadística Correlacional" + site-url: "https://correlacional.netlify.app" - favicon: "/files/icon-512.png" + favicon: "/files/logo-correlacional-transp.png" - twitter-card: - image: "/files/social-image-sp23.png" - card-style: summary_large_image - creator: "@andrewheiss" + # twitter-card: + # image: "/files/social-image-sp23.png" + # card-style: summary_large_image + # creator: "@andrewheiss" # site: "@andrewheiss" open-graph: - image: "/files/social-image-sp23.png" - locale: en_US + image: "/files/logo-correlacional.png" # cambiar luego + locale: es navbar: pinned: true - background: "#EE6A24" + background: "#0f6070" right: - - syllabus.qmd + - text: "Informaciones" + file: news/index.qmd - schedule.qmd - - text: "Content" + - text: "Clases" file: content/index.qmd - - text: "Assignments" + - text: "Prácticos" file: assignment/index.qmd - - text: "Examples" - file: example/index.qmd - - text: "Resources" +# - text: "Trabajos" +# file: trabajos.qmd + - text: "Recursos" file: resource/index.qmd - - text: "News" - file: news/index.qmd - - icon: slack - href: "https://gsuevalsp2023.slack.com" - aria-label: Slack + - syllabus.qmd - icon: cloud-fill href: "https://rstudio.cloud" aria-label: RStudio.cloud sidebar: - - title: "Content" + - title: "Clases" style: "docked" search: false + lang: es background: dark contents: - - section: "Overview" - contents: - - content/index.qmd - - section: "Course content" + - text: "Descripción" + file: content/index.qmd + - section: "Presentaciones" contents: - - text: "1: Evaluation and the causal revolution" + - text: "Introducción" file: content/01-content.qmd - - text: "2: Regression and inference" + - text: "Inferencia 1" file: content/02-content.qmd - - text: "3: Theories of change and logic models" + - text: "Inferencia 2" file: content/03-content.qmd - - text: "4: Measurement and DAGs" + - text: "Inferencia 3" file: content/04-content.qmd - - text: "5: DAGs and potential outcomes" + - text: "Inferencia 4" file: content/05-content.qmd - - text: "6: Threats to validity" - file: content/06-content.qmd - - text: "7: Randomization and matching" - file: content/07-content.qmd - - text: "8: Diff-in-diff I" - file: content/08-content.qmd - - text: "9: Diff-in-diff II" - file: content/09-content.qmd - - text: "10: RDD I" - file: content/10-content.qmd - - text: "11: IV I" - file: content/11-content.qmd - - text: "12: IV II & RDD II" - file: content/12-content.qmd - - text: "13: Choosing and planning ethical evaluations" - file: content/13-content.qmd - - text: "14: Ethics, stories, and curiosity" - file: content/14-content.qmd - - - title: "Assignments" - contents: - - section: "Overview" - contents: - - assignment/index.qmd - - section: "Other projects" - contents: - - assignment/final-project.qmd - - assignment/weekly-check-in.qmd - - section: "Problem sets" - contents: - - assignment/01-problem-set.qmd - - assignment/02-problem-set.qmd - - assignment/03-problem-set.qmd - - assignment/04-problem-set.qmd - - assignment/05-problem-set.qmd - - assignment/06-problem-set.qmd - - assignment/07-problem-set.qmd - - assignment/08-problem-set.qmd - - assignment/09-problem-set.qmd - - section: "Evaluation" - contents: - - assignment/01-eval-background-theory.qmd - - assignment/02-eval-measurement.qmd - - assignment/03-eval-dag.qmd - - assignment/04-eval-threats.qmd - - - title: "Examples" - contents: - - section: "Overview" - contents: - - example/index.qmd - - section: "Simulated data" - contents: - - text: "Random numbers" - file: example/random-numbers.qmd - - text: "Synthetic data" - file: example/synthetic-data.qmd - - section: "Examples" - contents: - - example/rstudio-tidyverse.qmd - - example/regression.qmd - - example/dags.qmd - - example/po-ate-cate.qmd - - text: "RCTs" - file: example/rcts.qmd - - text: "Matching and IPW" - file: example/matching-ipw.qmd - - text: "Robust standard errors" - file: example/standard-errors.qmd - - text: "Unobserved confounding" - file: example/confounding-sensitivity.qmd - - text: "Diff-in-diff" - file: example/diff-in-diff.qmd - - example/rdd.qmd - - example/iv.qmd - - text: "ITT and CACE" - file: example/cace.qmd - - example/rdd-fuzzy.qmd - - - title: "Resources" + # - text: "Inferencia 2" + # file: content/06-content.qmd + # - text: "Inferencia 3" + # file: content/07-content.qmd + # - text: "Inferencia 4" + # file: content/08-content.qmd + # - text: "Asociación con categóricas" + # file: content/09-content.qmd + # - text: "Cierre" + # file: content/10-content.qmd + - text: "Foro Clases" + file: content/foro-clases.qmd + - title: "Prácticos" contents: - - section: "Overview" - contents: - - resource/index.qmd - - resource/r.qmd - - resource/style.qmd - - resource/data.qmd - - resource/citations.qmd - - resource/bayes.qmd - - resource/zilch.qmd - - section: "Study guides" + - text: "Descripción" + file: assignment/index.qmd + - section: "Guías" contents: - - resource/exam1.qmd - - resource/exam2.qmd - - section: "Guides" - contents: - - resource/install.qmd - - resource/markdown.qmd - - resource/rmarkdown.qmd - - resource/unzipping.qmd - + - text: "1: Curva Normal e Intervalos de Confianza" + file: assignment/01-practico.qmd + - text: "2: Intentando Rechazar" + file: assignment/02-practico.qmd + # - text: "3: Matrices de correlación y tamaños de efecto" + # file: assignment/03-practico.qmd + # - text: "4: Inferencia 1" + # file: assignment/04-practico.qmd + # - text: "5: Reportes dinámicos 2" + # file: assignment/05-practico.qmd + # - text: "6: Inferencia 2" + # file: assignment/06-practico.qmd + # - text: "7: Inferencia 3" + # file: assignment/07-practico.qmd + # - text: "8: Inferencia 4" + # file: assignment/08-practico.qmd + # - text: "9: Reporte - plantilla trabajos" + # file: assignment/09-practico.qmd + # - text: "10: Asociación con categóricas" + # file: assignment/10-practico.qmd + # - text: "CASEN-EBS" + # file: assignment/11-practico.qmd + - text: "Foro Prácticos" + file: assignment/foro-practicos.qmd + - text: "Consola R Online" + file: assignment/consola.qmd page-footer: left: | Content {{< fa brands creative-commons >}} {{< var course.copyright_year >}} by [{{< var instructor.name_no_title >}}]({{< var instructor.url >}})
diff --git a/_variables.yml b/_variables.yml index f03b4f9b..24448368 100644 --- a/_variables.yml +++ b/_variables.yml @@ -1,33 +1,40 @@ -author: Andrew Heiss +author: Juan Carlos Castillo (Credits to Andrew Heiss) instructor: - name: Dr. Andrew Heiss - name_no_title: Andrew Heiss - email: aheiss@gsu.edu - url: "https://www.andrewheiss.com" - twitter: andrewheiss - github: andrewheiss - office: "357 Andrew Young School" + name: Prof. Juan Carlos Castillo + name_no_title: Juan Castillo + email: "[juancastillov@uchile.cl](mailto:juancastillov@uchile.cl)" + url: "https://www.jc-castillo.com" + twitter: + github: juancarloscastillo + office: "325 Sociología FACSO, Universidad de Chile" contact_policy: >- - E-mail and Slack are the best ways to get in contact with me. I will try to respond to all course-related e-mails and Slack messages within 24 hours (*really*), but also remember that life can be busy and chaotic for everyone (including me!), so if I don't respond right away, don't worry! - appointment_url: https://calendly.com/andrewheiss/ + E-mail es la mejor manera de ponerse en contacto conmigo y con el equipo docente del curso. + appointment_url: https://calendly.com/juancastillov/horas-oficina + +other: + email: "[andreas.laffert@ug.uchile.cl](mailto:andreas.laffert@ug.uchile.cl)" + appointment_url: https://calendly.com/andreas-laffert + +other2: + email: "[martin.venegas@ug.uchile.cl](mailto:martin.venegas@ug.uchile.cl)" course: number: "PMAP 8521" - semester: "Spring 2023" - days: "Thursdays" - time: "7:15–9:45 PM" - location: "Aderhold Learning Center 204" - dates: "January 9–May 2, 2023" - github: "https://www.github.com/andrewheiss/evalsp23.classes.andrewheiss.com" - url: "https://evalsp23.classes.andrewheiss.com" - copyright_year: "2023" - slack: "https://gsuevalsp2023.slack.com" + semester: "Segundo 2024" + days: "Lunes y Martes" + time: "10:15-11:45 (Lunes) y 8:30-10:00 (Martes)" + location: "Lunes - Aulario C6, Martes - Aulario C7-C8 & FACSO 345" + dates: "12 Agosto al 29 de Noviembre, 2023" + github: "https://github.com/cursos-metodos-facso/correlacional" + url: "https://correlacional.netlify.app" + copyright_year: "2024" + slack: "" university: - name: Georgia State University - url: "https://www.gsu.edu" + name: Universidad de Chile + url: "https://www.uchile.cl" school: - name: Andrew Young School of Policy Studies - url: "https://aysps.gsu.edu/" + name: Departamento de Sociología, Facultad de Ciencias Sociales + url: "https://facso.uchile.cl/" diff --git a/assignment/01-eval-background-theory.qmd b/assignment/01-eval-background-theory.qmd deleted file mode 100644 index 5b59ff0d..00000000 --- a/assignment/01-eval-background-theory.qmd +++ /dev/null @@ -1,83 +0,0 @@ ---- -title: "Background and theory" -date: "2023-02-02" ---- - - -For your [final project](/assignment/final-project.qmd), you will conduct an evaluation for a social program of your choosing. In this assignment, you will explore the program's background, history, purpose, and theory. - -If you decide to use a different program for your final project, that's okay! This assignment doesn't have to be related to your final program, but it would be helpful—a more polished version of this assignment can be included as part of your final project. - - -## Instructions - -You need to complete the four sections listed below. Ideally you should type this in R Markdown and knit your document to HTML or Word or PDF, but you can also write in Word if you want (though your final project will need to be in R Markdown, and this would give you practice).[^citations] - -[^citations]: And if you want to be super brave, try using [R Markdown's citation system](/resource/markdown.qmd#citations)! - -**I've created an R Markdown template you can use here:** [{{< fa file-archive >}} `background-theory.zip`](/projects/background-theory.zip). It's also [available on RStudio.cloud](https://posit.cloud/spaces/323551/content/5299586). - -You can draw your impact theory and logic model charts by hand or with something like [Diagrams.net](https://www.diagrams.net/), [Lucidchart](https://www.lucidchart.com/pages/home), or [Creately](https://creately.com/). Export the image as a PNG, place it in the same directory as your R Markdown file, and include the image with Markdown. - -The syntax for adding an image in Markdown is fairly simple. Importantly, **it is not R code**, so *don't* try putting it in an R chunk. Just type this: - -```markdown -![Image caption](/path/to/image.png) -``` - -**Submit this assignment as a PDF or Word file on iCollege.** - ---- - -## Assignment outline - -### 1: Program background and purpose - -*(≈350 words)* - -Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn’t started yet, explain why it’s under consideration. Make sure you cite your sources appropriately! (In the past, some students have just copied/pasted text from a program's website; don't do that! Describe and analyze the program's background!) - - -### 2: Program theory - -*(≈400 words)* - -Explain and explore the program’s underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don’t and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. - -Include a simple impact theory graph showing the program’s basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. - - -### 3: Logic model - -List every possible input, activity, output, and outcome for the program and provide a brief 1–2 sentence description of each. - -#### Inputs - -- Something -- Something else - -#### Activities - -- Something -- Something else - -#### Outputs - -- Something -- Something else - -#### Outcomes - -- Something -- Something else - -#### Diagram - -Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Remember that inputs will always feed into activities, and that activities always produce outputs (that's the whole purpose of an activity: convert an input to an output). Include this as a figure. - - -### 4: Analysis - -*(≈150 words)* - -Evaluate how well the logic model relates to the program theory. Do the inputs, activities, and outputs have a logical, well-grounded connection to the intended outcomes? Under ideal conditions, would the components of the program lead to changes or lasting effects? diff --git a/assignment/01-practico.qmd b/assignment/01-practico.qmd new file mode 100644 index 00000000..f5cc1de3 --- /dev/null +++ b/assignment/01-practico.qmd @@ -0,0 +1,317 @@ +--- +title: "Distribución Normal e Intervalos de Confianza" +date: "2024-08-27" +lang: es +execute: + freeze: auto + cache: true +--- + +# Objetivo de la práctica + +El objetivo de esta guía práctica es introducirnos en la inferencia estadística, revisando los conceptos y aplicaciones de la curva normal y las probabilidades bajo esta con puntajes Z, además del cálculo de intervalos de confianza. + +En detalle, aprenderemos y recordaremos: + +1. Los conceptos de promedio y desviación estándar +2. Qué es la probabilidad y su aplicación para estadística +3. Qué es la distribución normal +4. Cómo calcular e interpretar intervalos de confianza + + +## Librerías + +Cargaremos algunas librerías que serán necesarias en las diferentes partes de esta guía práctica: + +```{r, warning=FALSE} +library(pacman) +pacman::p_load(tidyverse, # para sintaxis + ggplot2, # para gráficos + car, # para recodificar + psych, # para analizar datos + sjmisc, # para analizar datos + srvyr, # para estimación de IC y ponderadores + Publish) # para IC) + +options(scipen = 999) # para desactivar notacion cientifica +rm(list = ls()) # para limpar el entonrno de trabajo +``` + + +# 1. Promedio y desviación estándar + +El *promedio* y la *desviación estándar* son conceptos fundamentales para continuar hacia la estadística inferencial. Repasemos estos conceptos mediante un ejercicio con datos simulados. + +Primero, generaremos un vector de 100 valores aleatorios con $\mu = 5$ y $\sigma = 2$, y lo visualizaremos con la función `print`. + +```{r} +set.seed(123) # Fijar la semilla para reproducibilidad +vector <- rnorm(100, mean = 5, sd = 2) +print(vector) # Ver el vector generado +``` + + +¿Cómo se vería la distribución de este vector aleatorio? Primero realizaremos un gráfico de histograma con la función `hist` y luego uno de cajas con la función `boxplot`. + +```{r} +hist(vector,main="Histograma del Vector",xlab="Valor",ylab="Frecuencia",col="cyan4",border="black") +``` + +```{r} +boxplot(vector,main="Diagrama de Caja del Vector aleatorio",ylab="Valor",col="cyan3") +``` + +Ahora, calculamos la media y la desviación estándar del vector: + +```{r} +media <- mean(vector) +desv_estandar <- sd(vector) + +cat("Media:", media, "\n") +cat("Desviación Estándar:", desv_estandar, "\n") +``` + +La media, que es una medida de tendencia central, nos presenta un valor que resume nuestros datos aproximándonos al "centro" de la distribución. Y la desviación estándar es una medida de dispersión que nos presenta un valor que resume nuestros datos en cuanto a qué tan "dispersos" se encuentran. + +En el caso de nuestro vector, creado con datos aleatorios, la media $\bar{x} = 5,18$ nos muestra que el promedio de los datos se encuentra en torno a 5,2. + +Ahora, recordemos la fórmula de la desviación estándar: + +$$ +s = \sqrt{\frac{\sum_{i=1}^{n} (x_i-\bar{x})^2 }{N-1}} +$$ + +Donde: + +- $N$ es el tamaño del vector, + +- $x_i$ son los valores individuales del vector, + +- $\bar{x}$ es la media del vector. + +La desviación estándar corresponde, entonces, a un promedio de lo que cada valor se aleja del promedio del vector. En el caso de nuestro vector, $s = 1,82$ nos muestra que en promedio los datos se alejan 1,82 puntos del promedio. + +La desviación estándar es un concepto clave para Inferencia Estadística. + + +::: callout-note + +Antes de seguir, recordemos que... + +Llamamos **inferencia estadística** al ejercicio de extrapolar determinadas estimaciones (estadísticos) de una muestra a una población más grande (parámetros). En concreto, es el proceso de realizar conclusiones o predicciones sobre una población a partir de una muestra o subconjunto de esa población. + +![](../files/INFERENCIA.jpg) + +La **probabilidad de error** indica en qué medida nos estamos equivocando (o estamos dispuestos a estar equivocados) en tratar de extrapolar una estimación muestral a la población. +::: + + +# 2. Probabilidad + +Para pensar en la idea de probabilidad realicemos la tarea propuesta en la [Clase de Inferencia 1](/content/02-content.html). En esta tarea se buscaba generar los resultados posibles al lanzar dos dados. Primero se busca sumar los resultados entregados por ambos dados, y luego promediar los resultados: + +```{r} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(dado1, dado2, suma, promedio) + +# Mostrar el data frame +print(resultados) +``` + +Esto se puede observar de manera gráfica de la siguiente forma: + +```{r} +# Gráfico de frecuencias para la suma +ggplot(resultados, aes(x = suma)) + + geom_bar(fill = "cyan4", color = "black") + + labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia") + +# Gráfico de frecuencias para los promedios +ggplot(resultados, aes(x = promedio)) + + geom_bar(fill = "cyan3", color = "black") + + labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia") +``` + +¿Y cuál es la probabilidad de ocurrencia de cada resultaado? + +```{r} +# Calcular las frecuencias de cada promedio +tabla_frecuencias <- table(resultados$promedio) + +# Calcular la probabilidad de ocurrencia de cada promedio +probabilidades <- tabla_frecuencias / sum(tabla_frecuencias) + +# Crear la tabla final con valores de promedios y sus probabilidades +tabla_final <- data.frame(Promedio = as.numeric(names(probabilidades)), + Probabilidad = as.numeric(probabilidades)) + +# Mostrar la tabla final +print(tabla_final) +``` + +La ocurrencia de algunos eventos (como la suma o promedio de dos dados) tienen una probabilidad determinada, lo que genera una distribución teórica de probabilidad. + +Si repito un evento aleatorio (ej: sacar muestras repetidas de dos dados y promediarlos) obtengo la distribución empírica de probabilidad (de frecuencias de los eventos). + +De acuerdo con la *ley de los grandes números*, el promedio empírico convergerá al teórico a medida que aumenta el número de repeticiones. Eso podemos observarlo: + + +# 3. Distribución Normal + +## 3.1. Curvas de distribución + +Por **distribución** nos referimos al conjunto de todos los valores posibles de una variable y las frecuencias (o probabilidades) con las que se producen. + +Existen **distribuciones empíricas** y **distribuciones teóricas**, en donde: + +- las primeras reflejan la distribución de los valores que asume la variable en un grupo _concreto_ a partir de una observación. +- las segundas son una _función matématica_ que expresan la distribución de un conjunto de números mediante su _probabilidad de ocurencia_. + +Estas últimas son también llamadas **curvas de distribución**. + + +## 3.2. Distribución Normal + +Es una distribución teórica que corresponde a una curva que representa la distribución de los casos de la población en torno al promedio y con una varianza conocida. + +- Simétricas y con un solo punto de elevación +- La pendiente es más fuerte cerca del centro, y se suaviza hacia los extremos +- Coinciden al centro el promedio, la mediana y la moda +- La desviación estandar expresa su dispersión. +- Establece áreas o *proporciones* bajo la curva en base a desviaciones estándar del promedio. + + +## 3.3. Distribución Normal Estándar + +La distribución normal estándar es una distribución normal con una media de 0 y una desviación estándar de 1. + +![](../slides/img/norm2.png) + +## 3.4. Puntaje Z y estandarización de variables + +Al estandarizar las variables (como en la Curva Normal Estándar) lo que hacemos es expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal. Esto nos permite comparar distribuciones distintas. + +Al valor estandarizado lo llamamos **puntaje Z**, y corresponde a la cantidad de desviaciones estándar que nos alejamos del promedio (para cada variable con la que trabajemos). + + +## 3.5. Cálculo de probabilidades con puntaje z + +Los valores estandarizados o puntajes Z además nos permiten conocer probabilidades. + +Con R es posible generar un conjunto de datos simulados con una distribución normal. + +```{r} +x_values <- seq(-4,4,length=1000) +y_values <- dnorm(x_values) +plot(x_values,y_values,type="l",xlab="Valor Z",ylab="Probabilidad",main="Distribución Normal") +``` + +Podemos preguntar qué parte de la curva cae por debajo de un valor particular. Por ejemplo, preguntaremos sobre el valor 0 antes de ejecutar el código. Piense ¿cuál debería ser la respuesta? + +```{r} +pnorm(q = 0) +``` + +Por tanto, la probabilidad (en una curva normal estándar) de obtener un valor igual o menor a 0 es de 0.5, es decir, del 50%, pero ¿por qué? + +> Porque como la distribución normal estándar es simétrica al rededor de cero, la probabilidad de que sea menor o igual a cero es 0.5, es decir, el 50% de la distribución está por debajo de cero y el otro 50% está por encima de cero. + +Eso lo podemos ver en el gráfico: + +```{r} +plot(x_values,y_values,type="l",xlab="Valor Z",ylab="Probabilidad",main="Distribución Normal") +abline(v=0) +``` + +Ahora probemos los valores Z de +1,96 y -1,96. + +Sabemos que estos valores aproximados marcan el 2,5% superior e inferior de la distribución normal estándar. Esto corresponde a un alfa típico $\alpha = 0,05$ para una prueba de hipótesis de dos colas. + +```{r} +pnorm(q = 1.96, lower.tail=TRUE) +``` + +La respuesta nos dice lo que ya sabemos: el 97,5% de la distribución normal ocurre por debajo del valor z de 1,96. + +Podemos agregar una línea al gráfico para mostrar dónde se usaría `abline`. + +El 97,5% de la distribución queda por debajo de esta línea. + +```{r} +plot(x_values, y_values, type="l", lty=1, xlab="Z value", ylab="Probability", main="Normal Distribution") + +abline(v = 1.96) +``` + +# 4. Intervalos de confianza + +Un intervalo de confianza es un rango dentro del cual es probable que se encuentre un parámetro poblacional con un nivel de confianza específico. Además, proporciona información sobre la precisión de nuestras estimaciones. + +Como vimos en la [sesión 4](/content/04-content.html) el promedio de la muestra $\bar{x}$ se distruye normal, con un error estándar $SE$, lo que nos permite estimar probabilidades basándonos en la curva normal. + +Por ejemplo, si nos desviamos $\pm1.96SE$ desde la media abarcaremos aproximadamente el 95% de los valores probables. + +![](https://multivariada.netlify.app/slides/images/normal.png) + + +::: callout-note +**Nivel de confianza**: Corresponde a la probabilidad de que la muestra elegida produzca un intervalo que incluya el parámetro que se está estimando ($1-\alpha$). + +**Nivel de significacncia**: Corresponde a la probabilidad de que el intervalo calculado a partir de la muestra no comprenda el parámetro de la población ($\alpha$). +::: + + +## 4.1. Cálculo de intervalos de confianza + +En el caso de nuestro vector aleatorio, un intervalo de confianza para la media se puede calcular de la siguiente manera: + +```{r} +# Calcular un intervalo de confianza para la media +intervalo_confianza <- t.test(vector)$conf.int # Intervalo de confianza del 95% para la media +intervalo_confianza +``` + +También podemos calcular intervalos de confianza para casos reales. Carguemos la base de datos que utilizaremos, que corresponde a un subset de la Encuesta Suplementaria de ingresos [ESI](https://www.ine.gob.cl/estadisticas/sociales/ingresos-y-gastos/encuesta-suplementaria-de-ingresos) para ocupados: + +```{r} +load(url("https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/esi-2021-ocupados.rdata")) +``` + +::: callout-note +Recordemos que podemos contar con bases de datos que tengan factor de expansión (ponderador) o no. Esta distinción se presenta cuando trabajamos con muestras simples o complejas. Al trabajar con muestras complejas debemos identificar cuál es la variable del ponderador e incorporarla en nuestro cálculo. + +En esta guía practicaa trabajaremos sin factores de expansión o ponderadores. +::: + + +#### IC para Medias + +Calculemos un intervalo de confianza para la media de ingresos de personas ocupadas: + +```{r} +psych::describe(esi$ing_t_p) +``` + +```{r} +Publish::ci.mean(esi$ing_t_p, alpha = 0.05) +``` + +Contamos con una media de ingresos de \$586.360 como estimación puntual. Pero también podemos decir que con un 95% de confianza el parámetro poblacional se encontrará entre \$579.266 y \$593.454. + + +# Resumen + +Hoy pudimos aprender y recordar: + +1. Los conceptos de promedio y dispersión +2. Qué es la probabilidad y su aplicación para estadística +3. Qué es la distribución normal +4. 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Go the the example page for this week, ["Welcome to R, RStudio, and the tidyverse"](/example/rstudio-tidyverse.qmd), and work through the different primers and videos in the four parts of the page. - - It seems like there's a lot on the page, but they're short and go fairly quickly (especially as you get the hang of the syntax). Also, **I have no way of seeing what you do or what you get wrong or right, and that's totally fine!** If you get stuck and want to skip some (or if it gets too easy), go right ahead and skip them! - - -## Task 2: Make an RStudio Project - -1. Use either RStudio.cloud or RStudio on your computer (preferably RStudio on your computer! [Follow these instructions to get started!](/resource/install.qmd)) to create a new RStudio Project. Refer to the [example page you read in Task 1 for instructions](/example/rstudio-tidyverse.qmd#part-3-rstudio-projects) - -2. Create a folder named "data" in the project folder you just made. - -3. Download this CSV file and place it in that folder: - - - [{{< fa file-csv >}} `cars.csv`](/files/data/package_data/cars.csv) - -4. In RStudio, go to "File" > "New File…" > "R Markdown…" and click "OK" in the dialog without changing anything. - -5. Delete all the placeholder text in that new file and replace it with this: - -````{verbatim, indent=" "} ---- -title: "Problem set 1" -author: "Put your name here" -output: html_document ---- - -```{r load-libraries-data, warning=FALSE, message=FALSE} -library(tidyverse) - -cars <- read_csv("data/cars.csv") -``` - -# Learning R - -Tell me that you worked through the primers and videos and examples at the example page for this week: - -WRITE SOMETHING HERE LIKE "I did all the primers and had the time of my life!" or whatever. - - -# My first plots - -Insert a chunk below and use it to create a scatterplot (hint: `geom_point()`) with diplacement (`displ`) on the x-axis, city MPG (`cty`) on the y-axis, and with the points colored by drive (`drv`). - -PUT CHUNK HERE - -Insert a chunk below and use it to create a histogram (hint: `geom_histogram()`) with highway MPG (`hwy`) on the x-axis. Do not include anything on the y-axis (`geom_histogram()` will do that automatically for you). Choose an appropriate bin width. If you're brave, facet by drive (`drv`). - -PUT CHUNK HERE - - -# My first data manipulation - -Insert a chunk below and use it to calculate the average city MPG (`cty`) by class of car (`class`). This won't be a plot---it'll be a table. Hint: use a combination of `group_by()` and `summarize()`. - -PUT CHUNK HERE -```` - -6. Save the R Markdown file with some sort of name (**without any spaces!**) - -7. Your project folder should look something like this: - -```{r project-structure, echo=FALSE, out.width="30%"} -knitr::include_graphics("/files/img/assignments/project-structure.png", error = FALSE) -``` - - -## Task 3: Work with R - -1. Remove the text that says "PUT CHUNK HERE" and insert a new R code chunk. Either type ctrl + alt + i on Windows, or ⌘ + ⌥ + i on macOS, or use the "Insert Chunk" menu: - -```{r insert-chunk-button, echo=FALSE, out.width="19%"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - -2. Follow the instructions for the three chunks of code. - -3. Knit your document as a Word file (or PDF if you're brave and [installed LaTeX](/resource/install.qmd#install-tinytex)). Use the "Knit" menu: - -```{r knit-button, echo=FALSE, out.width="30%"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` - -4. Upload the knitted document to iCollege. - -5. `r emoji::emoji("tada")` Party! `r emoji::emoji("tada")` - - -:::{.callout-tip} - -You'll be doing this same process for all your future problem sets. Each problem set will involve an R Markdown file. You can either create a new RStudio Project directory for all your work: - -```{r single-directory, echo=FALSE, out.width="30%"} -knitr::include_graphics("/files/img/reference/rproj-one-folder.png", error = FALSE) -``` - -Or you can create individual projects for each assignment and project: - -```{r multiple-directories, echo=FALSE, out.width="30%",} -knitr::include_graphics("/files/img/reference/rproj-multiple-folders.png", error = FALSE) -``` - -::: diff --git a/assignment/02-eval-measurement.qmd b/assignment/02-eval-measurement.qmd deleted file mode 100644 index 314debfe..00000000 --- a/assignment/02-eval-measurement.qmd +++ /dev/null @@ -1,50 +0,0 @@ ---- -title: "Measurement" -date: "2023-02-09" ---- - -For your [final project](/assignment/final-project.qmd), you will conduct an evaluation for a social program of your choosing. In this assignment, you will decide how to best measure two of the program's outcomes. - -If you decide to use a different program for your final project, that's okay! This assignment doesn't have to be related to your final program, but it would be extraordinarily helpful—a more polished version of this assignment can be included as part of your final project. - - -## Instructions - -You need to complete the two sections listed below. Ideally you should type this in R Markdown and knit your document to HTML or Word or PDF, but you can also write in Word if you want (though your final project will need to be in R Markdown, and this would give you practice).[^citations] - -[^citations]: And if you want to be super brave, try using [R Markdown's citation system](/resource/markdown.qmd#citations)! - -**I've created an R Markdown template you can use here:** [{{< fa file-archive >}} `measurement.zip`](/projects/measurement.zip). It's also [available on RStudio.cloud](https://rstudio.cloud/spaces/269500/content/4357669). - -**Submit this assignment as a PDF or Word file on iCollege.** - ---- - -## Assignment outline - -### 1: Measurement and abstraction for full-day kindergarten - -Read [this article about half-day vs. full-day kindergarten in Utah](https://archive.sltrib.com/story.php?ref=/news/ci_13164697). The article is 10 years old, and half-day kindergarten still remains standard practice in most Utah school districts. - -Pretend you are the administrator of the Optional Extended Day Kindergarten initiative. Based on the *Salt Lake Tribune* article (which provides hints throughout, and especially in one of the final paragraphs), and based on your own knowledge of educational outcomes, make a list of **two (2) possible outcomes** of the full-day kindergarten program. - -Then, *for each of those two outcomes*, do the following: Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome. Narrow this list down to 3–4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* - -Then, *for each of those attributes*, answer these questions: - -- *Measurable definition*: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) -- *Ideal measurement*: How would you measure this attribute in an ideal world? -- *Feasible measurement*: How would you measure this given reality and given limitations in budget, time, etc.? -- *Measurement of program effect*: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? - - -### 2: Measurement and abstraction for your program - -Make a list of two possible outcomes of your selected program. For each of those outcomes, make a list of all the possible attributes. Narrow this list down to 3–4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* - -Then, *for each of those attributes*, answer these questions: - -- *Measurable definition*: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) -- *Ideal measurement*: How would you measure this attribute in an ideal world? -- *Feasible measurement*: How would you measure this given reality and given limitations in budget, time, etc.? -- *Measurement of program effect*: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? diff --git a/assignment/02-practico.R b/assignment/02-practico.R new file mode 100644 index 00000000..a18a546a --- /dev/null +++ b/assignment/02-practico.R @@ -0,0 +1,204 @@ +# Código: Práctico 2 Estadística Correlacional 2024 +# Fecha: 03-09-2024 +# Autor: Equipo Docente + +# 1. Cargar librerías ----------------------------------------------------- + +# install.packages("pacman") + +pacman::p_load(dplyr, # Manipulacion datos + gginference, # Visualizacion + rempsyc, # Reporte + kableExtra, # Tablas + broom) # Varios + +options(scipen = 999) # para desactivar notacion cientifica +rm(list = ls()) # para limpiar el entorno de trabajo + +# 2. Cargar datos --------------------------------------------------------- + +load(url("https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/proc_casen.RData")) #Cargar base de datos + +# 3. Explorar datos ------------------------------------------------------- + +names(proc_casen) # Nombre de columnas +dim(proc_casen) # Dimensiones + +# Ejercicio 1 --------------------------------------------------------- + +# a) Procesamiento + +casen_subset <- proc_casen %>% + select(sexo, ytrabajocor) %>% # seleccionamos + sample_n(1500) # extraemos una muestra de 1500 casos + +casen_subset <- na.omit(casen_subset) # eliminamos casos perdidos (listwise) + +# b) Tabla descriptiva + +casen_subset %>% + dplyr::group_by(sexo) %>% # se agrupan por la variable categórica + dplyr::summarise(Obs. = n(), + Promedio = mean(ytrabajocor, na.rm=TRUE), + SD = sd(ytrabajocor, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(format = "markdown") # se genera la tabla + +# c) Resolver con 5 pasos inferencia + +# 1 Formulación hipótesis + +## HA: X hombres - X mujeres > 0 +## H0: X hombres - X mujeres ≤ 0 + +# 2, 3 y 4 en R + +test_ej1 <- t.test(casen_subset$ytrabajocor ~ casen_subset$sexo, + alternative = "greater", + conf.level = 0.95) + +test_ej1 + +stats.table <- tidy(test_ej1, conf_int = T) +nice_table(stats.table, broom = "t.test") + +gginference::ggttest(test_ej1) + +# 5 Interpretacion + +## Efecto, significancia y decisión de rechazo (o no) + +# Ejercicio 2 ---------------------------------------------- + +# a) Procesamiento + +goldin_data <- proc_casen %>% + dplyr::select(ocupado, sexo, ytrabajocor, hijo) %>% + dplyr::filter(ocupado == 1 & sexo == 2) %>% + sample_n(1500) %>% + na.omit()# creamos subset con solo mujeres ocupadas + +# b) Tabla descriptiva + +goldin_data %>% + dplyr::group_by(hijo) %>% + dplyr::summarise(Obs. = n(), + Media = mean(ytrabajocor, na.rm = T), + DS = sd(ytrabajocor, na.rm = T)) %>% + kable(format = "markdown") # hacemos la tabla + +# c) Resolver con 5 pasos inferencia + +# 1 Formulación hipótesis + +## HA: X sin hijos - X con hijos < 0 +## H0: X sin hijos - X con hijos ≥ 0 + +# 2, 3 y 4 en R + +test_ej2 <- t.test(goldin_data$ytrabajocor ~ goldin_data$hijo, + alternative = "less", + conf.level = 0.95) + +test_ej2 + +stats.table <- tidy(test_ej2, conf_int = T) +nice_table(stats.table, broom = "t.test") + +gginference::ggttest(test_ej2) + +# 5 Interpretacion + +## Efecto, significancia y decisión de rechazo (o no) + +# Ejercicio 3 ---------------------------------------------- + +# a) Procesamiento + +set.seed(03092024) # Fijar una semilla para reproducibilidad + +proc_casen <- proc_casen %>% + select(universitaria, ytrabajocor) %>% + # Solo para que la tabla se vea mejor, vamos a generar una variable categórica + mutate( + universitaria_cat = case_when( + universitaria == 1 ~ "Tiene educación universitaria", + universitaria == 0 ~ "No tiene educación universitaria", + TRUE ~ NA + ) + ) %>% + filter(!is.na(ytrabajocor)) %>% # Filtramos por los casos que no tengan NA en la variable de ingresos + sample_n(1500) # Generamos una muestra aleatoria de 1500 casos + +# b) Tabla descriptiva + +proc_casen %>% + group_by(universitaria_cat) %>% + summarise( + Obs. = n(), + Media = mean(ytrabajocor), + SD = sd(ytrabajocor) + ) %>% + kable(format = "markdown") + +# c) Resolver con 5 pasos inferencia + +# 1 Formulación hipótesis + +# Para este caso, ambos tipos de hipótesis (direccional y no direccional) podrían ser argumentadas. +# Para mantener la simplicidad, vamos a contrastar una hipótesis no direccional. +# Esto quiere decir que queremos comprobar si en la población existen diferencias en los +# ingresos medios entre quienes tienen educación universitaria y quienes no. +# En lenguaje de contraste de hipótesis, HA y H0 serían así: + +## HA: X universitaria - X nouniversitaria ≠ 0 +## H0: X universitaria - X nouniversitaria = 0 + +# 2, 3 y 4 en R + +# Prueba t no direccional al 95% se confianza +test95_ej3 <- t.test(proc_casen$ytrabajocor ~ proc_casen$universitaria, + alternative = "two.sided", + conf.level = 0.95, + var.equal = T + ) +test95_ej3 + +stats.table <- tidy(test95_ej3, conf_int = T) +nice_table(stats.table, broom = "t.test") + +gginference::ggttest(test95_ej3) + +# Prueba t no direccional al 99% se confianza +test99_ej3 <- t.test(proc_casen$ytrabajocor ~ proc_casen$universitaria, + alternative = "two.sided", + conf.level = 0.99, + var.equal = T + ) +test99_ej3 + +stats.table <- tidy(test99_ej3, conf_int = T) +nice_table(stats.table, broom = "t.test") + +gginference::ggttest(test99_ej3) + +# 5 Interpretacion + +media_univ <- round(mean(proc_casen %>% filter(universitaria == 1) %>% pull(ytrabajocor))) +sd_univ <- round(sd(proc_casen %>% filter(universitaria == 1) %>% pull(ytrabajocor))) + +media_nouniv <- round(mean(proc_casen %>% filter(universitaria == 0) %>% pull(ytrabajocor))) +sd_nouniv <- round(sd(proc_casen %>% filter(universitaria == 0) %>% pull(ytrabajocor))) + +df95 <- test95_ej3$parameter[[1]] +t95 <- test95_ej3$statistic[[1]] +p95 <- test95_ej3$p.value[[1]] + +## Efecto, significancia y decisión de rechazo (o no) +interpretacion_ej3 <- paste0( + "Primero, para determinar si existen diferencias en los ingresos medios entre quienes tienen educación universitaria", + "(X = ", media_univ, "; SD = ", sd_univ, ") y quienes no (X = ", media_nouniv, "; SD = ", sd_nouniv, ")", + " aplicamos una prueba t no direccional para dos muestras independientes al 95% de confianza.", + " Los resultados de la prueba entregan evidencia para rechazar la hipótesis nula H0 sobre no diferencias en las medias de ingresos, t(", df95, ") =", t95, "; p =", p95 + ) + +print(interpretacion_ej3) diff --git a/assignment/02-practico.qmd b/assignment/02-practico.qmd new file mode 100644 index 00000000..b968e49b --- /dev/null +++ b/assignment/02-practico.qmd @@ -0,0 +1,284 @@ +--- +title: "Práctico 2: Intentando rechazar" +date: "2024-09-03" +lang: es +execute: + freeze: auto + cache: false +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(warning = F, + error = F, + message = F) +``` +# Objetivo de la práctica + +El objetivo de esta guía práctica es realizar una serie de ejercicios de inferencia estadística, tomando como base todos los contenidos de la **Unidad 1**. + +En detalle, aprenderemos: + +1. Aplicar pruebas de hipótesis de diferencia de medias. +2. Aplicar pruebas de hipótesis direccionales. +3. Aplicar e interpretar los pasos de inferencia estadística. + +## Recursos de la práctica + +En esta práctica trabajaremos con un subconjunto de datos previamente procesados de la Encuesta de Caracterización Socioeconómica (CASEN) del año 2022, elaborada por el [Ministerio de Desarrollo Social y Familia](https://observatorio.ministeriodesarrollosocial.gob.cl/). Para este ejercicio, obtendremos directamente esta base desde internet. No obstante, también tienes la opción de acceder a la misma información a través del siguiente enlace: [{{< fa table >}} `CASEN 20222`](https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/proc_casen.RData). Desde allí, podrás descargar el archivo que contiene el subconjunto procesado de la base de datos CASEN 2022. + +## Cinco pasos para la inferencia estadística + +![](https://correlacional.netlify.app/slides/img/rechazar_meme.png) + +En inferencia, las pruebas de hipótesis nos ayudan a determinar si el resultado que obtenemos en nuestra muestra es un efecto real/extensible a la población o un error. Aquí recomendamos una lista de cinco pasos lógicos para enfrentarnos a la inferencia estadística: + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Paso Detalle
1Formula $H_0$ y $H_A$ y estipula la dirección de la prueba
2Calcula el error estándar (SE) y el valor estimado de la prueba (ej: Z o t)
3Especifica la probabilidad de error $\alpha$ y el valor crítico de la prueba
4Contrasta el valor estimado con el valor crítico
5Intrepreta los resultados
+ +Además de estos 5 pasos también existe la posibilidad de calcular un intervalo de confianza, que acompañe la precisión de nuestra estimación. + +# Preparación datos + +Comencemos por preparar nuestros datos. Iniciamos cargando las librerías necesarias. + +```{r librerias, collapse=TRUE} +pacman::p_load(dplyr, # Manipulacion datos + gginference, # Visualizacion + rempsyc, # Reporte + kableExtra, # Tablas + broom) # Varios + +options(scipen = 999) # para desactivar notacion cientifica +rm(list = ls()) # para limpiar el entorno de trabajo +``` + +::: callout-tip +**Los \# en el código** + +En este código y siguientes aparecen varios #, que son una función de comentarios en R. No son necesarios para que el código funcione, pero son útiles en este caso para poder explicar que función cumple cada sección del código. Todo lo que aparece a la derecha de un \# no es leído por el programa. +::: + +Cargamos los datos directamente desde internet. + +```{r datos} + +load(url("https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/proc_casen.RData")) #Cargar base de datos + +``` + +A continuación, exploramos la base de datos **proc_casen**. + +```{r exploracion} + +names(proc_casen) # Nombre de columnas +dim(proc_casen) # Dimensiones + +``` + +Contamos con 24 variables (columnas) y 202.111 observaciones (filas). + +# Recordemos... + +En estadística, la formulación de hipótesis que implica dos variables (o la comparación de grupos) busca determinar si existen diferencias en una variable entre grupos y, de ser el caso, evaluar si esta diferencia es estadísticamente significativa. + +[Hasta ahora](https://correlacional.netlify.app/content/06-content), hemos aprendido a contrastar hipótesis sobre **diferencias entre grupos**. A esto también se le llama **hipótesis de dos colas**. + +::: callout-note +#### Prueba de dos colas + +Contrastamos la *hipótesis nula* (o de trabajo) de *no* diferencias entre grupos: $$ H_{0}: \mu_{1} - \mu_{2} = 0 $$ En relación a una *hipótesis alternativa* sobre *diferencias* entre grupos: $$ H_{A}: \mu_{1} - \mu_{2} \neq 0 $$ +::: + +Además, podemos **plantear hipótesis** respecto a que el valor de cierto parámetro para un grupo **puede ser mayor o menor** al de otro grupo. A esto se le conoce como **hipótesis de una cola**. + +::: callout-note +#### Prueba de una cola + +$$ H_{0}: \mu_{0} ≥ \mu_{1} ; \mu_{0} ≤ \mu_{1}$$ + +$$ H_{A}: \mu_{0} > \mu_{1} $$ + +$$ H_{A}: \mu_{0} < \mu_{1} $$ +::: + +Veamos ahora cómo aplicar todos estos conocimientos con ejercicios. + +# Ejercicio 1 + +Este ejercicio está basado en un ejemplo de clases y está desarrollado para que sirva de ejemplo a los siguientes ejercicios que deben ser desarrollados de manera autónoma. + +La pregunta de investigación es: *¿Es el salario de los hombres mayor que el de las mujeres?* + +Para contrastar esta hipótesis, vamos utilizar la bbdd `proc_casen`, seleccionaremos las variables `sexo` e `ytrabajocor` y haremos un subset de datos de 1.500 casos. + +```{r warning=FALSE } +casen_subset <- proc_casen %>% + select(sexo, ytrabajocor) %>% # seleccionamos + sample_n(1500) # extraemos una muestra de 1500 casos + +casen_subset <- na.omit(casen_subset) # eliminamos casos perdidos (listwise) +``` + +Generamos tabla para visualizar la distribución de los datos. + +```{r} +casen_subset %>% + dplyr::group_by(sexo) %>% # se agrupan por la variable categórica + dplyr::summarise(Obs. = n(), + Promedio = mean(ytrabajocor, na.rm=TRUE), + SD = sd(ytrabajocor, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kableExtra::kable(format = "markdown") # se genera la tabla +``` + +Ahora vamos con los [5 pasos de la inferencia](https://correlacional.netlify.app/slides/05-inferencia4.html#33) + +**1. Formulación de hipótesis** + +El primer aspecto a establecer es el tipo de hipótesis a formular: ¿Direccional o no direccional? En este caso, la pregunta indica una direccionalidad ("mayor que"), por lo tanto corresponde a una hipótesis direccional. Si hubiera sido una pregunta que hiciera referencia simplemente a diferencias ("¿Es el salario de los hombres distinto al de las mujeres?") correspondería a una hipótesis no direccional. + +La hipótesis general es que el salario de los hombres es mayor que el de las mujeres. Pasando a lenguaje de hipótesis, esto se plantea como: + +Hipótesis alternativa: + +- $H_A$: Promedio salarial hombres ( $\bar{X}_{hombres}$) - Promedio salarial mujeres ( $\bar{X}_{mujeres}$) \> 0 + +Hipótesis nula: + +- $H_0$: $\bar{X}_{hombres} - \bar{X}_{mujeres} \leq 0$ + +**Pasos 2, 3 y 4 de una vez con R** + +En clases vimos que los pasos 2, 3 y 4 corresponden a: + +1. Obtener error estándar y estadístico de prueba empírico correspondiente (ej: Z o t) + +2. Establecer la probabilidad de error $\alpha$ (usualmente 0.05) y obtener valor crítico (teórico) de la prueba correspondiente + +3. Cálculo de intervalo de confianza / contraste valores empírico/crítico + +Esta secuencia de pasos tiene un sentido pedagógico para poder entender cómo finalmente se llega a interpretar el contraste de hipótesis en el paso 5. Pero en análisis de datos, luego de establecer las hipótesis nos vamos directamente al software que nos permite obtener de una vez toda la información de los pasos 2, 3 y 4. + +```{r} +test_ej1 <- t.test(casen_subset$ytrabajocor ~ casen_subset$sexo, + alternative = "greater", + conf.level = 0.95) + +test_ej1 +``` + +También podemos visualizarlo en una tabla más amable. + +```{r} +stats.table <- tidy(test_ej1, conf_int = T) +rempsyc::nice_table(stats.table, broom = "t.test") +``` + +Visualicemos la distribución de esta prueba y su zona de rechazo. + +```{r} +gginference::ggttest(test_ej1) +``` + +**5. Interpretación** + +La prueba T que evalúa la diferencia de medias entre el salario y el sexo sugiere que el efecto es positivo y estadísticamente signficativo (diferencia = 32567.11, t(566.69) = 2.05, p < .05). El valor $p$ indica que la probabilidad de observar una diferencia de esta magnitud, o mayor, bajo la suposición de $H_{0}$ es menor al 5%. Por tanto, con un 95% de confianza, rechazamos la $H_{0}$ ya que existe evidencia a favor de nuestra $H_{A}$ respecto a que el salario de los hombres es mayor al salario de las mujeres. + +# Ejercicio 2 + +Tomando como ejemplo el trabajo de la ganadora del Premio Nobel de Economía 2023 Claudia Goldin, en este ejercicio evaluaremos la siguiente pregunta: _¿Es el salario de las mujeres sin hijos menor al salario de las mujeres con hijos?_ Por ende, usaremos **prueba $t$** para diferencia de medias. + +Utilice la bbdd `proc_casen` y seleccione las variables `ocupado`, `sexo`, `ytrabajocor` e `hijo`. Luego, filtra por `ocupado == 1` y `sexo == 2` para quedarse solo con mujeres ocupadas y genera una muestra aleatoria de 1.500 casos con la función `sample_n()`. Luego, elimina los casos pérdidos con `na.omit()`. + +Genere una tabla de descriptivos de los ingresos (`ytrabajocor`) según si las observaciones tienen hijos o no (`hijo`). Presente cantidad de observaciones por categoría, media y desviación estándar. + +Una ayuda con el procesamiento (solo esta vez)... + +```{r, collapse=FALSE} + +goldin_data <- proc_casen %>% + dplyr::select(ocupado, sexo, ytrabajocor, hijo) %>% + dplyr::filter(ocupado == 1 & sexo == 2) %>% + sample_n(1500) %>% + na.omit()# creamos subset con solo mujeres ocupadas + +goldin_data %>% + dplyr::group_by(hijo) %>% + dplyr::summarise(Obs. = n(), + Media = mean(ytrabajocor, na.rm = T), + DS = sd(ytrabajocor, na.rm = T)) %>% + kableExtra::kable(format = "markdown") # hacemos la tabla +``` + +Ahora vamos con los [5 pasos de la inferencia](https://correlacional.netlify.app/slides/05-inferencia4.html#33) + +**1. Formulación de hipótesis** + +El primer paso es traducir nuestra pregunta a una hipótesis estadística contrastable. Para ello: a) elija el tipo de hipótesis a plantear ¿direccional o no direccional? y b) especifique la hipótesis nula ($H_0$) e hipótesis alternativa ($H_A$). + +**Pasos 2, 3 y 4 de una vez con R** + +Siguiendo el ejemplo del Ejercicio 1, utilice el software para generar los estadísticos correspondientes. Contraste sus hipótesis considerando un 95% de confianza. + +**5. Interpretación** + +Interprete los resultados obtenidos: ¿es posible rechazar la hipótesis planteada? + +> La prueba T que evalúa la diferencia de medias... + +# Ejercicio 3 + +En este ejercicio tomamos de ejemplo una pregunta clásica en ciencias sociales: _¿el ingreso de las personas está relacionado a su nivel educacional?_. Para responder esta pregunta vamos a usar una prueba $t$ de contraste de medias para dos muestras independientes. + +Esta vez les dejaremos el procesamiento a ustedes. Utilice la bbdd `proc_casen` y seleccione las variables `ytrabajocor` y `universitaria`. Luego genere una muestra aleatoria 1500 casos con la función `sample_n()` y elimine los datos perdidos de la variable `ytrabajocor`. Luego, genere una tabla de descriptivos de los ingresos (`ytrabajocor`) según si las personas cuentan con educación universitaria o no (`universitaria`). Presente cantidad de observaciones por categoría, media y desviación estándar. + +## 1. Formulación de hipótesis + +El primer paso es traducir nuestra pregunta a una hipótesis estadística contrastable. Para ello: a) elija el tipo de hipótesis a plantear ¿direccional o no direccional? y b) especifique la hipótesis nula ($H_0$) e hipótesis alternativa ($H_A$). + +## Pasos 2, 3 y 4 de una vez con R + +Siguiendo el ejemplo del Ejercicio 1, utilice el _software_ para generar los estadísticos correspondientes. Contraste sus hipótesis considerando un 95% de confianza y un 99% de confianza. Comente las diferencias en el paso 5. + +# 5. Interpretación + +Interprete los resultados obtenidos: ¿es posible rechazar la hipótesis nula? ¿a raíz de qué información llega a la conclusión? ¿qué diferencia observa al aplicar la prueba con ambos niveles de confianza (95% y 99%)? diff --git a/assignment/02-problem-set.qmd b/assignment/02-problem-set.qmd deleted file mode 100644 index 3dcb834c..00000000 --- a/assignment/02-problem-set.qmd +++ /dev/null @@ -1,68 +0,0 @@ ---- -title: "Problem set 2" -date: "2023-02-02" ---- - -:::{.callout-note} -**IMPORTANT**: This looks like a lot of work, but it's mostly copying/pasting chunks of code and changing things. -::: - -## Getting started - -For this problem set, you'll practice running and interpreting regression models using data about [penguins in Antarctica](https://github.com/allisonhorst/palmerpenguins) and data on food access and mortality in the US. - -You'll be doing all your R work in R Markdown this time (and from now on). You should use an RStudio Project to keep your files well organized (either on your computer or on RStudio.cloud). Either create a new project for this exercise only, or make a project for all your work in this class. - -You'll need to download these two CSV files and put them somewhere on your computer or upload them to RStudio.cloud—preferably in a folder named `data` in your project folder: - -- [{{< fa file-csv >}} `penguins.csv`](/files/data/package_data/penguins.csv) -- [{{< fa file-csv >}} `food_health_politics.csv`](/files/data/external_data/food_health_politics.csv) - -You'll also need to download this R Markdown file with a template for this problem set. Download that here and include it in your project: - -- [{{< fa brands r-project >}} `problem-set-2.Rmd`](/projects/problem-set-2/your-name_problem-set-2.Rmd) - -In the end, the structure of your project directory should look something like this: - -```text -your-project-name -├── data -│ ├── food_health_politics.csv -│ └── penguins.csv -├── your-project-name.Rproj -└── your-name_problem-set-2.Rmd -``` - -To check that you put everything in the right places, you can download and unzip this file, which contains everything in the correct structure: - -- [{{< fa file-archive >}} `problem-set-2.zip`](/projects/problem-set-2.zip) - -You'll need to make sure you have these packages installed on your computer: `tidyverse` and `modelsummary`. If you try to load one of those packages with `library(tidyverse)` or `library(modelsummary)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - -(Alternatively, you can open the project named "Problem Set 2" on RStudio.cloud and complete the assignment in your browser without needing to install anything. If you don't have access to the class RStudio.cloud account, *please let me know as soon as possible*. [This link should take you to the project](https://posit.cloud/spaces/323551/content/5299579)—if it doesn't, log in and look for the project named "Problem Set 2.") - -Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - -Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -Remember, if you're struggling, *please* talk to me. Work with classmates too. Don't suffer in silence! - - -## Instructions - -For this problem set, we're less interested in causal relationships and more interested in the mechanics of manipulating data and running regressions in R. We'll start caring about identification and causal models in the next problem set. Because of this, don't put too much causal weight into the interpretations of these different models—this is an actual case of correlation not implying causation. - -[The example for week 2 on regression](/example/regression.qmd) will be ***incredibly*** helpful for this exercise. Reference it. Copy and paste from it liberally. - -1. Rename the R Markdown file named `your-name_problem-set-2.Rmd` to something that matches your name and open it in RStudio. - -2. Complete the tasks given in the R Markdown file. Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [from the regression example](/example/regression.qmd)—*don't try to write everything from scratch!*), and replace text in ALL CAPS with your own. (i.e. You'll see a bunch of `TYPE YOUR ANSWER HERE`s. Type your answers there.). Again, you don't need to type your answers in all caps. - - -## Turning everything in - -When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/03-problem-set.qmd b/assignment/03-problem-set.qmd deleted file mode 100644 index 2bd690d0..00000000 --- a/assignment/03-problem-set.qmd +++ /dev/null @@ -1,50 +0,0 @@ ---- -title: "Problem set 3" -date: "2023-03-02" ---- - -:::{.callout-note} -**IMPORTANT**: This looks like a lot of work, but again, it's mostly copying/pasting chunks of code and changing things. -::: - -For this problem set, you'll practice analyzing RCTs and working with matching and inverse probability weighting. These two examples will be incredibly useful for you: - -- [RCTs](/example/rcts.qmd) -- [Matching and IPW](/example/matching-ipw.qmd) - -You'll be doing all your R work in R Markdown this time (and from now on). You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-3.zip`](/projects/problem-set-3.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-3.Rproj`: [{{< fa file-archive >}} `problem-set-3.zip`](/projects/problem-set-3.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `MatchIt`, `modelsummary`, and `patchwork`. If you try to load one of those packages with `library(tidyverse)` or `library(MatchIt)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 3" on RStudio.cloud and complete the assignment in your browser without needing to install anything. If you don't have access to the class RStudio.cloud account, *please let me know as soon as possible*. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357649)—if it doesn't, log in and look for the project named "Problem Set 3.") - -2. Rename the R Markdown file named `your-name_problem-set-3.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. There are questions **marked in bold** (e.g. `**What is the ATE?**`). Your job is to answer those questions. You don't need to put your answers in bold, and you can remove the question text if you want. - - Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [the example page on RCTs](/example/rcts.qmd) and [the example page on matching and IPW](/example/matching-ipw.qmd)—don't try to write everything from scratch!). - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - - ```{r insert-chunk-button, echo=FALSE, out.width="19%", fig.align="center"} - knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) - ``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - - ```{r knit-button, echo=FALSE, out.width="30%", fig.align="center"} - knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) - ``` diff --git a/assignment/04-eval-threats.qmd b/assignment/04-eval-threats.qmd deleted file mode 100644 index a600b716..00000000 --- a/assignment/04-eval-threats.qmd +++ /dev/null @@ -1,61 +0,0 @@ ---- -title: "Threats to validity" -date: "2023-02-23" ---- - -## Instructions - -You need to complete the ["Assessing validity" section below](/assignment/04-eval-threats.qmd#assessing-validity-1). Ideally you should type this in R Markdown and knit your document to HTML or Word or PDF, but you can also write in Word if you want (though your final project will need to be in R Markdown, and this would give you practice). - -**I've created an R Markdown template you can use here:** [{{< fa file-archive >}} `threats-validity.zip`](/projects/threats-validity.zip). It's also [available on RStudio.cloud](https://rstudio.cloud/spaces/269500/content/4357671). - -**Submit this assignment as a PDF or Word file on iCollege.** - ---- - -## Internal validity scores - -One helpful way to assess an evaluation's internal validity is to systematically go through each possible threat and evaluate if the research design addresses it. For each of the 13 types of internal validity that we discussed in class, assign 1 point if the study addresses it and 0 points if it fails to do so. Add up the total points and assign the study a final internal validity score. - -Not all types of validity will apply to every study. Testing, for example, is only an issue if there is a pre-test and it involves a skill that could feasibly be enhanced by practicing the test. If a threat doesn't apply, don't give it a score. - -- Omitted variable bias - 1. Selection - 2. Attrition -- Trends - 3. Maturation - 4. Secular trends - 5. Seasonality - 6. Testing - 7. Regression to the mean -- Study calibration - 8. Measurement error - 9. Time frame of study -- Contamination - 10. Hawthorne effects - 11. John Henry effects - 12. Spillovers - 13. Intervening events - ---- - -## Assessing validity - -Your textbook [*Impact Evaluation in Practice*](https://openknowledge.worldbank.org/handle/10986/25030) is full of short examples of real-world evaluations, experiments, and studies. For this assignment, you will assess the (1) internal validity, (2) external validity, and (3) construct validity for two of the examples from the book. If the summary in the book isn't sufficient, you can skim through the original study for more details. The original studies can be found in the Content section of iCollege. - -You will assess **two (2)** of these four studies. Pick whichever two seem the most interesting to you: - -1. **The effect of conditional cash transfers on education in Mexico** (Box 4.2, p. 70) - - Original study: [@Schultz:2004] -2. **The impact of *Sesame Street* on school readiness** (Box 5.1, p. 91) - - Original study: [@KearneyLevine:2015] -3. **The effects of police deployment on crime in Argentina** (Box 7.2, p. 135) - - Original study: [@Di-TellaSchargrodsky:2004] -4. **Early childhood development and migration in Jamaica** (Box 9.5, p. 170) - - Original study: [@GertlerHeckmanPinto:2014] - -For each of the two studies you choose, do the following: - -1. Go through the 13 types of internal validity and describe *in 2–3 sentences* how the study succeeds/fails to address each concern. Calculate a total internal validity score. -2. Describe any threats to external validity and assess how generalizable the findings are. *(≈75 words)* -3. Describe any threats to construct validity and assess if the researchers are measuring the thing they intended to measure. *(≈75 words)* diff --git a/assignment/04-problem-set.qmd b/assignment/04-problem-set.qmd deleted file mode 100644 index 278f3703..00000000 --- a/assignment/04-problem-set.qmd +++ /dev/null @@ -1,49 +0,0 @@ ---- -title: "Problem set 4" -date: "2023-03-09" ---- - -:::{.callout-note} -**IMPORTANT**: This looks like a lot of work, but again, it's mostly copying/pasting chunks of code and changing things. -::: - -For this problem set, you'll practice running difference-in-differences analysis with R, both manually and with regression. This example will be incredibly useful for you: - -- [Difference-in-differences](/example/diff-in-diff.qmd) - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-4.zip`](/projects/problem-set-4.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-4.Rproj`: [{{< fa file-archive >}} `problem-set-4.zip`](/projects/problem-set-4.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `haven`, and `broom`. If you try to load one of those packages with `library(tidyverse)` or `library(haven)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 4" on RStudio.cloud and complete the assignment in your browser without needing to install anything. If you don't have access to the class RStudio.cloud account, *please let me know as soon as possible*. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357651)—if it doesn't, log in and look for the project named "Problem Set 4.") - -2. Rename the R Markdown file named `your-name_problem-set-4.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. There are questions **marked in bold** (e.g. `**What is the ATE?**`). Your job is to answer those questions. You don't need to put your answers in bold, and you can remove the question text if you want. - - Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [the example page on diff-in-diff](/example/diff-in-diff.qmd)—don't try to write everything from scratch!). - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/05-problem-set.qmd b/assignment/05-problem-set.qmd deleted file mode 100644 index f2ee720e..00000000 --- a/assignment/05-problem-set.qmd +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: "Problem set 5" -date: "2023-03-23" ---- - -For this problem set, you'll reproduce the results from one of the papers that you looked at in your threats to validity assignment: - -> Rafael Di Tella and Ernesto Schargrodsky, “Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack,” *American Economic Review* 94, no. 1 (March 2004): 115–133, doi:[10.1257/000282804322970733](https://doi.org/10.1257/000282804322970733). [@Di-TellaSchargrodsky:2004] - -The full published paper is posted on iCollege under "Content > Validity assignment" (since you used the paper for that assignment). It's not posted publicly here because of copyright reasons. The data comes from [Di Tella and Schargrodsky's data appendix available at their study's *AER* webpage](https://www.aeaweb.org/articles?id=10.1257/000282804322970733), and I've included it in the .zip file for the assignment. - -This paper uses difference-in-differences to estimate the causal effect of increased policing on car thefts. Now that you know all about diff-in-diff, you can create their same results! - -The answer key from Problem Set 4 (where you also did diff-in-diff) + this example page will be incredibly useful for you: - -- [Difference-in-differences](/example/diff-in-diff.qmd) - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-5.zip`](/projects/problem-set-5.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-5.Rproj`: [{{< fa file-archive >}} `problem-set-5.zip`](/projects/problem-set-5.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `haven`, `broom`, `fixest`, and `modelsummary`. If you try to load one of those packages with `library(tidyverse)` or `library(haven)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 5" on RStudio.cloud and complete the assignment in your browser without needing to install anything. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357652)—if it doesn't, log in and look for the project named "Problem Set 5.") - -2. Rename the R Markdown file named `your-name_problem-set-5.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. There are questions **marked in bold**. Your job is to answer those questions. You don't need to put your answers in bold or ALL CAPS or anything, and you can remove the question text if you want. - - Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [the example page on diff-in-diff](/example/diff-in-diff.qmd)—don't try to write everything from scratch!). - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/06-problem-set.qmd b/assignment/06-problem-set.qmd deleted file mode 100644 index faca844a..00000000 --- a/assignment/06-problem-set.qmd +++ /dev/null @@ -1,45 +0,0 @@ ---- -title: "Problem set 6" -date: "2023-03-30" ---- - -For this problem set, you'll practice doing regression discontinuity analysis with simulated data from a hypothetical program. This example page will be incredibly useful for you: - -- [Regression discontinuity](/example/rdd.qmd) - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-6.zip`](/projects/problem-set-6.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-6.Rproj`: [{{< fa file-archive >}} `problem-set-6.zip`](/projects/problem-set-6.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `broom`, `rdrobust`, `rddensity`, and `modelsummary`. If you try to load one of those packages with `library(tidyverse)` or `library(rdrobust)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 6" on RStudio.cloud and complete the assignment in your browser without needing to install anything. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357653)—if it doesn't, log in and look for the project named "Problem Set 6.") - -2. Rename the R Markdown file named `your-name_problem-set-6.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. There are questions **marked in bold**. Your job is to answer those questions. You don't need to put your answers in bold or ALL CAPS or anything, and you can remove the question text if you want. - - Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [the example page on regression discontinuity](/example/rdd.qmd)—don't try to write everything from scratch!). - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/07-problem-set.qmd b/assignment/07-problem-set.qmd deleted file mode 100644 index 0e1878ab..00000000 --- a/assignment/07-problem-set.qmd +++ /dev/null @@ -1,45 +0,0 @@ ---- -title: "Problem set 7" -date: "2023-04-06" ---- - -For this problem set, you'll practice using instrumental variables with both real and simulated data. This example page will be incredibly useful for you: - -- [Instrumental variables](/example/iv.qmd) - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-7.zip`](/projects/problem-set-7.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-7.Rproj`: [{{< fa file-archive >}} `problem-set-7.zip`](/projects/problem-set-7.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `broom`, `estimatr`, and `modelsummary`. If you try to load one of those packages with `library(tidyverse)` or `library(estimatr)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 7" on RStudio.cloud and complete the assignment in your browser without needing to install anything. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357654)—if it doesn't, log in and look for the project named "Problem Set 7.") - -2. Rename the R Markdown file named `your-name_problem-set-7.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. There are questions scattered throughout the document—your job is to answer those questions. You don't need to put your answers in bold or ALL CAPS or anything, and you can remove the question text if you want. - - Fill out code in the empty chunks provided (you can definitely copy, paste, and adapt from other code in the document or [the example page on instrumental variables](/example/iv.qmd)—don't try to write everything from scratch!). - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/08-problem-set.qmd b/assignment/08-problem-set.qmd deleted file mode 100644 index 0dcef4a6..00000000 --- a/assignment/08-problem-set.qmd +++ /dev/null @@ -1,49 +0,0 @@ ---- -title: "Problem set 8" -date: "2023-04-13" ---- - -This assignment is a review of all the causal inference methods we've learned this semester: RCTs, matching and inverse probability weighting, diff-in-diff, RDD, and IVs. Refer to your past assignments and all the examples for guidance: - -- **RCTs**: [Example](/example/rcts.qmd) + Problem Set 3 -- **Matching and inverse probability weighting**: [Example](/example/matching-ipw.qmd) + Problem Set 3 -- **Diff-in-diff**: [Example](/example/diff-in-diff.qmd) + Problem Sets 4 and 5 -- **RDD**: [Example](/example/rdd.qmd) + Problem Set 6 -- **Instrumental variables**: [Example](/example/iv.qmd) + Problem Set 7 - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-8.zip`](/projects/problem-set-8.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-8.Rproj`: [{{< fa file-archive >}} `problem-set-8.zip`](/projects/problem-set-8.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `broom`, `estimatr`, `modelsummary`, `MatchIt`, `rdrobust`, `rddensity`, and `haven`. If you try to load one of those packages with `library(tidyverse)` or `library(MatchIt)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 8" on RStudio.cloud and complete the assignment in your browser without needing to install anything. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357655)—if it doesn't, log in and look for the project named "Problem Set 8.") - -2. Rename the R Markdown file named `your-name_problem-set-8.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. You can remove any of the question text if you want. - - You can definitely copy, paste, and adapt from other code in the document or [the different example pages](/example/index.qmd)—don't try to write everything from scratch!. - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", , fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/09-problem-set.qmd b/assignment/09-problem-set.qmd deleted file mode 100644 index 6d39c821..00000000 --- a/assignment/09-problem-set.qmd +++ /dev/null @@ -1,49 +0,0 @@ ---- -title: "Problem set 9" -date: "2023-04-20" ---- - -This assignment will give you practice generating synthetic data and building in causal effects. - -These two examples will be incredibly helpful: - -- [Generating random numbers](/example/random-numbers.qmd) -- [The ultimate guide to generating synthetic data for causal inference](/example/synthetic-data.qmd) - - -You'll be doing all your R work in R Markdown. You can download a zipped file of a pre-made project here: - -- [{{< fa file-archive >}} `problem-set-9.zip`](/projects/problem-set-9.zip) - -And as always, if you're struggling, *please* talk to me. Work with classmates too (especially for this assignment!). Don't suffer in silence! - - -## Instructions - -1. If you're using R on your own computer, download this file, [*unzip it*](/resource/unzipping.qmd), and double click on the file named `problem-set-9.Rproj`: [{{< fa file-archive >}} `problem-set-9.zip`](/projects/problem-set-9.zip) - - You'll need to make sure you have these packages installed on your computer: `tidyverse`, `broom`, `ggdag`, and `scales`. If you try to load one of those packages with `library(tidyverse)` or `library(ggdag)`, etc., and R gives an error that the package is missing, use the "Packages" panel in RStudio to install it. - - (Alternatively, you can open the project named "Problem Set 9" on RStudio.cloud and complete the assignment in your browser without needing to install anything. [This link should take you to the project](https://rstudio.cloud/spaces/269500/content/4357657)—if it doesn't, log in and look for the project named "Problem Set 9.") - -2. Rename the R Markdown file named `your-name_problem-set-9.Rmd` to something that matches your name and open it in RStudio. - -3. Complete the tasks given in the R Markdown file. You can remove any of the question text if you want. - - You can definitely copy, paste, and adapt from other code in the document or [the example guide](/example/synthetic-data.qmd)—don't try to write everything from scratch!. - - You'll need to insert your own code chunks. Rather than typing them by hand (that's tedious!), use the "Insert" button at the top of the editing window, or press ⌥ + ⌘ + I on macOS, or ctrl + alt + I on Windows. - -```{r insert-chunk-button, echo=FALSE, out.width="19%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/insert-chunk-button.png", error = FALSE) -``` - - Remember that you can run an entire chunk by clicking on the green play arrow in the top right corner of the chunk. You can also run lines of code line-by-line if you place your cursor on some R code and press ⌘ + enter (for macOS users) or ctrl + enter (for Windows users). - - Make sure you run each chunk sequentially. If you run a chunk in the middle of the document without running previous ones, it might not work, since previous chunks might do things that later chunks depend on. - -4. When you're all done, click on the "Knit" button at the top of the editing window and create a Word or PDF version (if you've [installed **tinytex**](/resource/install.qmd#install-tinytex)) of your document. Upload that file to iCollege. **Do not upload a knitted HTML file** (they don't on iCollege). - -```{r knit-button, echo=FALSE, out.width="30%", indent=" ", fig.align="center"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` diff --git a/assignment/_metadata.yml b/assignment/_metadata.yml index 67639efd..be367b4d 100644 --- a/assignment/_metadata.yml +++ b/assignment/_metadata.yml @@ -1,5 +1,5 @@ date-heading: - content: "Due by 11:59 PM on" + content: "Sesión del " class: "bg-assignment" date-format: "full" diff --git a/assignment/bdims.RData b/assignment/bdims.RData new file mode 100644 index 00000000..4146920e Binary files /dev/null and b/assignment/bdims.RData differ diff --git a/assignment/consola.qmd b/assignment/consola.qmd new file mode 100644 index 00000000..f5f466a8 --- /dev/null +++ b/assignment/consola.qmd @@ -0,0 +1,5 @@ +--- +title: "Consola R Online" +--- + + \ No newline at end of file diff --git a/assignment/data/Base de datos EBS 2021 STATA.dta b/assignment/data/Base de datos EBS 2021 STATA.dta new file mode 100644 index 00000000..2062115e Binary files /dev/null and b/assignment/data/Base de datos EBS 2021 STATA.dta differ diff --git a/assignment/data/ELSOC_ess_merit2016.RData b/assignment/data/ELSOC_ess_merit2016.RData new file mode 100644 index 00000000..a8f982d4 Binary files /dev/null and b/assignment/data/ELSOC_ess_merit2016.RData differ diff --git a/assignment/data/casen2020_recorte.RData b/assignment/data/casen2020_recorte.RData new file mode 100644 index 00000000..b256c763 Binary files /dev/null and b/assignment/data/casen2020_recorte.RData differ diff --git a/assignment/data/casen2022_recorte.RData b/assignment/data/casen2022_recorte.RData new file mode 100644 index 00000000..dde33d60 Binary files /dev/null and b/assignment/data/casen2022_recorte.RData differ diff --git a/assignment/data/data (Case Conflict 1).RData b/assignment/data/data (Case Conflict 1).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 1).RData differ diff --git a/assignment/data/data (Case Conflict 10).RData b/assignment/data/data (Case Conflict 10).RData new file mode 100644 index 00000000..71d3076d Binary files /dev/null and b/assignment/data/data (Case Conflict 10).RData differ diff --git a/assignment/data/data (Case Conflict 2).RData b/assignment/data/data (Case Conflict 2).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 2).RData differ diff --git a/assignment/data/data (Case Conflict 3).RData b/assignment/data/data (Case Conflict 3).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 3).RData differ diff --git a/assignment/data/data (Case Conflict 4).RData b/assignment/data/data (Case Conflict 4).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 4).RData differ diff --git a/assignment/data/data (Case Conflict 5).RData b/assignment/data/data (Case Conflict 5).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 5).RData differ diff --git a/assignment/data/data (Case Conflict 6).RData b/assignment/data/data (Case Conflict 6).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 6).RData differ diff --git a/assignment/data/data (Case Conflict 7).RData b/assignment/data/data (Case Conflict 7).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 7).RData differ diff --git a/assignment/data/data (Case Conflict 8).RData b/assignment/data/data (Case Conflict 8).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 8).RData differ diff --git a/assignment/data/data (Case Conflict 9).RData b/assignment/data/data (Case Conflict 9).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict 9).RData differ diff --git a/assignment/data/data (Case Conflict).RData b/assignment/data/data (Case Conflict).RData new file mode 100644 index 00000000..c914d30d Binary files /dev/null and b/assignment/data/data (Case Conflict).RData differ diff --git a/assignment/data/data.Rdata b/assignment/data/data.Rdata new file mode 100644 index 00000000..02ff21f2 Binary files /dev/null and b/assignment/data/data.Rdata differ diff --git a/assignment/ejemplo-practico.R b/assignment/ejemplo-practico.R new file mode 100644 index 00000000..357d55cf --- /dev/null +++ b/assignment/ejemplo-practico.R @@ -0,0 +1,114 @@ +# Codigo practico 3 EC 2023: Matrices de correlación y tamaños de efecto +# Autor(a): +# Fecha: + +# 1. Cargar librerías ----------------------------------------------------- + +pacman::p_load(tidyverse, # Manipulacion datos + sjmisc, # Descriptivos + sjPlot, # Tablas + kableExtra, #Tablas + GGally, # Correlaciones + corrplot) # Correlaciones + +options(scipen = 999) # para desactivar notacion cientifica +rm(list = ls()) # para limpiar el entorno de trabajo + +# 2. Importar datos --------------------------------------------------------- + +load(url("https://multivariada.netlify.app/assignment/data/proc/ELSOC_ess_merit2016.RData")) #Cargar base de datos + +# 3. Explorar datos ------------------------------------------------------- + +# 3.1 Dimensiones y columnas + +names(proc_elsoc) +dim(proc_elsoc) + +# 3.2 Descriptivos + +sjmisc::descr(proc_elsoc, + show = c("label","range", "mean", "sd", "NA.prc", "n")) %>% + kable(.,"markdown") + +# 4. Procesamiento --------------------------------------------------------- + +# 4.1 Tratamiento NAs ---- + +## a) Listwise + +proc_elsoc_original <- proc_elsoc # respaldo base original +dim(proc_elsoc) + +sum(is.na(proc_elsoc)) # contar NAs total + +colSums(is.na(proc_elsoc)) # contar NAs por columna + +proc_elsoc <- na.omit(proc_elsoc) # remover NAs +dim(proc_elsoc) # verificar + + +## b) Pairwise + +mean(proc_elsoc_original$pmerit); mean(proc_elsoc$edad); mean(proc_elsoc$ess) + +mean(proc_elsoc_original$pmerit, na.rm = TRUE); mean(proc_elsoc$edad, na.rm = TRUE); mean(proc_elsoc$ess, na.rm = TRUE) + +# 5. Matrices de correlación ---------------------------------------------- + +# 5.1 Matriz simple ---- + +M <- cor(proc_elsoc_original, use = "complete.obs") +M + +# 5.2 Tabla reportable ---- + +sjPlot::tab_corr(proc_elsoc_original, + triangle = "lower") # listwise + + +sjPlot::tab_corr(proc_elsoc_original, + na.deletion = "pairwise", # espeficicamos tratamiento NA pairswise + triangle = "lower") + +# 5.3 Graficar ---- + +corrplot.mixed(M) # matriz + +ggpairs(proc_elsoc) # matriz y scatter + +sjPlot::plot_scatter(proc_elsoc, edad, ess) # solo scatterplot + +# 6. Tamaños de efecto ---------------------------------------------------- + +# Criterios según Cohen (1988): +# < ±0.1 = Muy pequeño +# ±0.1–0.3 = Pequeño +# ±0.3–0.5 = Moderado +# >±0.5 = Grande + + +# Interpretación ejemplo: +# El coeficiente de correlación de Pearson entre estatus social subjetivo y +# años de educación es positivo y moderado (r = 0.3) según Cohen (1988). + +# 7. Correlación Spearman ------------------------------------------------- + +# 7.1 Frecuencias ---- + +sjmisc::frq(proc_elsoc$mesfuerzo) + +sjmisc::frq(proc_elsoc$mtalento) + +# 7.2 Cálculo correlación ---- + +cor.test(proc_elsoc$mesfuerzo, proc_elsoc$mtalento, + method = "spearman") #especificamos metodo spearman + +# 8. R2 ------------------------------------------------------------------- + +coef_r <- M[4,3] # seleccionamos el coef de nuestra matriz + +coef_r + +coef_r^2 # cálculo coef de determinacion R2 diff --git a/assignment/final-project.qmd b/assignment/final-project.qmd deleted file mode 100644 index 090e7460..00000000 --- a/assignment/final-project.qmd +++ /dev/null @@ -1,144 +0,0 @@ ---- -title: "Final project" -date: "2023-05-01" ---- - -Evaluation research is tricky and costly. If you begin an intervention or launch a study prematurely, you can waste time and money—and potentially lives. - -Even if you have a well designed program with an impeccable logic model and a perfect DAG, you might discover (too late!) that you forgot to collect some critical variables or realize that your identification strategy will not work. - -From a more cynical perspective, you might (unethically) engage in the practice of [p-hacking](https://theconversation.com/one-reason-so-many-scientific-studies-may-be-wrong-66384)—running all sorts of different model specifications until you find the results you want, and then claim in your report that you had intended to run that model all along. - -One increasingly popular method for (1) ensuring that your data and methods work before launching a study or intervention, and (2) declaring and committing to your hypotheses and methods and models before analyzing your data is to [*pre-register* your research or evaluation](https://blogs.plos.org/plos/2019/11/preregistration-can-bring-science-back-to-its-roots/). A [pre-registered study](https://www.sciencemag.org/news/2018/09/more-and-more-scientists-are-preregistering-their-studies-should-you) contains all the background work—an introduction, literature review, theory, hypotheses, and proposed analysis—but without the actual data. Authors post their expectations and hypotheses publicly so they can be held publicly accountable for any deviations from their proposed design.[^prereg] - -[^prereg]: See the [Center for Open Science's directory of preregistrations](https://cos.io/prereg/), or [AsPredicted list](https://aspredicted.org/) for examples of this in real life. [Here's one by me!](https://osf.io/hsbyd) - -The best preregistered studies use simulated data that has the same structure as the data that will be collected (i.e. same columns, sometimes the same correlations and relationships researchers expect to see in the collected data, etc.). Because there's no data yet (or [just fake data](/example/synthetic-data.qmd)), you have more freedom when developing a preregistered study. You can experiment with different models, play with different approaches, manipulate data in different ways, and so on. If you realize that you need a new variable, or that you need to rearrange questions on a survey, or make any other kinds of changes, you can—you haven't collected the data yet! - -(Additionally, using synthetic data is extremely useful if you're working with proprietary or private data that you cannot make public. [You can make a synthetic version of the real data instead](https://arxiv.org/abs/2011.01374); see [this too](https://twitter.com/cmastication/status/1325424086659502081).) - -Once you finalize your plan and know all the data you need to collect, and once you've written out the different models you'll run, all you have to do is collect the real data, plop it into your script (replacing the fake data you'd been using), and run the analysis script again to generate the actual, real results. In the results section, you get to either say "As predicted, we found…", or "Contrary to expectations, we found that…". - -For your final project in this class, you will write a pre-registered analysis of a public or nonprofit social program that you're interested in. You don't need to worry about collecting data—[you'll create a synthetic dataset for your pre-analysis.](/example/synthetic-data.qmd) - -You will submit **three things** via iCollege: - -1. A PDF of your preregistered report (see the outline below for details of what this needs to contain). You should compile this with R Markdown. You might want to write the prose-heavy sections in a word processor like Word or Google Docs and copy/paste the text into your R Markdown document, since RStudio doesn't have a nice spell checker or grammar checker. This should have *no visible R code, warnings, or messages in it* (set `echo = FALSE` at the beginning of your document before you knit). -2. The same PDF as above, but with all the R code in it (set `echo = TRUE` at the beginning of your document and reknit the file). -3. A CSV file of [your fake data.](/example/synthetic-data.qmd) - -This project is due by **11:59 PM on Monday, May 1, 2023.** No late work will be accepted. - -I will grade your project using this rubric. I *highly* recommend that you refer to the rubric as you work on your project! - -- {{< fa list-check >}} [`evalsp23_final-project-rubric.xlsx`](/files/evalsp23_final-project-rubric.xlsx) - -You can either run the analysis in RStudio locally on your computer (highly recommended(!!), since you won't have to worry about keeping all your work on Posit's servers), or use an Posit.cloud project. You can make a copy of this Posit.cloud project—it doesn't have anything in it, but I have preinstalled all the packages we've used over the course of the semester, so you don't have to. - -- [{{< fa arrow-up-right-from-square >}} Empty Posit.cloud project](https://posit.cloud/spaces/323551/content/5774783) -- [{{< fa file-archive >}} Empty RStudio project you can download and unzip on your computer](/projects/final-project.zip) (doesn't include any packages, since you're responsible for installing those) - - -## Resources - -Most importantly, **do not hesitate** to work with classmates. You all must choose different programs, but you can work in groups of up to 4 people on your own projects. Also, **absolutely do not hesitate** to ask me questions! I'm here to help! - -You might find this evaluation (and its proposal) of a truancy program in the Provo School District in Utah helpful as an example for the first half of this assignment (program overview, theory, implementation, threats to validity, and outcomes). The PSD evaluation doesn't have DAGs or fancy econometrics models like RCTs, diff-in-diff, RDD, IVs, or anything like that, so you can't use it as an example of that part, but these should provide a good template for the program-specific sections. *This is longer than expected for this class*. I provide suggested word counts in the outline below. - -- [{{< fa file-pdf >}} `psd-proposal-2011`](/files/psd-proposal-2011.pdf) -- [{{< fa file-pdf >}} `psd-final-report-2012`](/files/psd-final-report-2012.pdf) - - -## Suggested outline - -Here's an outline of what you'll need to do. You did lots of this work in your evaluation assignments. Please don't just copy/paste those assignments as is into this final project—you'll want to polish it up for this final report. You can download this as an RMarkdown file and change the text if you want. I've also included this as an RMarkdown file in the empty RStudio.cloud project. - -- [{{< fa brands r-project >}} `final-project-template.Rmd`](/projects/final-project/final-project-template.Rmd) - ---- - -### Introduction - -Describe the motivation for this evaluation, briefly describe the program to be evaluated, and explain why it matters for society. (**≈150 words**) - - -### Program overview - -Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn't started yet, explain why it's under consideration. (**≈300 words**) - - -### Program theory and implementation - -#### Program theory and impact theory graph - -Explain and explore the program's underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don't and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. (**≈300 words**) - -Include a simple impact theory graph showing the program's basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. - -#### Logic model - -Describe the program's inputs, activities, outputs, and outcomes. Pay careful attention to how they are linked—remember that every input needs to flow into an activity and every output must flow out of an activity. (**≈150 words**) - -Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Include this as a figure. - - -### Outcome and causation - -#### Main outcome - -Select one of the program's outcomes to evaluate. Explain why you've chosen this (is it the most important? easiest to measure? has the greatest impact on society?) (**≈50 words**) - -#### Measurement - -Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome. Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. Then, for each of these attributes, answer these questions: - -- *Measurable definition*: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) -- *Ideal measurement*: How would you measure this attribute in an ideal world? -- *Feasible measurement*: How would you measure this given reality and given limitations in budget, time, etc.? -- *Measurement of program effect*: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? - -(**≈150 words** in this section) - -#### Causal theory - -Given your measurement approach, describe and draw a causal diagram (DAG) that shows how your program causes the outcome. Note that this is not the same thing as the logic model—you'll likely have nodes in the DAG that aren't related to the program at all (like socioeconomic status, gender, experience, or other factors). The logic model provides the framework for the actual implementation of your program and connects all the moving parts to the outcomes. The DAG is how you can prove causation with statistical approaches. (**≈150 words**) - -#### Hypotheses - -Make predictions of your program's effect. Declare what you think will happen. (**≈50 words**) - - -### Data and methods - -#### Identification strategy - -How will you measure the actual program effect? Will you rely on an RCT? Differences-in-differences? Regression discontinuity? Instrumental variables? How does your approach account for selection bias and endogeneity? How does your approach isolate the causal effect of the program on the outcome? - -Also briefly describe what kinds of threats to internal and external validity you face in your study. - -(**≈300 words**) - -#### Data - -Given your measurement approach, limits on feasibility, and identification strategy, describe the data you will use. Will you rely on administrative data collected by a government agency or nonprofit? Will you collect your own data? If so, what variables will you measure, and how? Will you conduct a survey or rely on outside observers or do something else? What does this data look like? What variables does it (or should it) include? - -(**≈100 words**) - - -### Synthetic analysis - -[Generate a synthetic (fake) dataset in R with all the variables you'll need for the real life analysis.](/example/synthetic-data.qmd) Analyze the data using your identification strategy. For instance: - -- If you're relying on observational data, close all the backdoors with matching or inverse probability weighting, don't adjust for colliders, and make a strong argument for isolation of the causal effect in the absence of treatment/control groups -- If you're doing an RCT, test the differences in means in the treatment and control groups (and follow all other best practices listed in the World Bank book, checking for balance across groups, etc.) -- If you're doing diff-in-diff, run a regression model with an interaction term to show the diff-in-diff -- If you're doing regression discontinuity, check for a jump in the outcome variable at the cutoff in the running variable -- If you're using instrumental variables, check the validity of your instrument and run a 2SLS model - -Include robustness checks to ensure the validity of your effect (i.e. if you're doing regression discontinuity, test different bandwidths and kernel types; etc.) - -(**As many words as you need to fully describe your analysis and results**) - -### Conclusion - -What would the findings from this analysis mean for your selected program? What would it mean if you found an effect? What would it mean if you didn't find an effect? Why does any of this matter? (**≈75 words**) diff --git a/assignment/foro-practicos.qmd b/assignment/foro-practicos.qmd new file mode 100644 index 00000000..e4ed2b5c --- /dev/null +++ b/assignment/foro-practicos.qmd @@ -0,0 +1,46 @@ +--- +title: "Foro prácticos" +--- + +Foro para compartir dudas, aclaraciones, sugerencias sobre llas guías prácticas. +Para poder participar en el foro hay que abir una cuenta en [Github](https://github.com/) + +# ¿Cuándo usar este foro? + + +![](/files/img/resurgence.gif){fig-align="center" width=50%} + +Muchas veces sucede que los códigos de análisis no resultan, lo que puede deberse a errores menores en la escritura de código, otras a versiones de librerías, y la mayoría a que R es algo mañoso. + +Cuando hay un error o el código no corre lo importante es evitar que la frustración lleve a desmotivarse o tirar el computador por la ventana. Por eso se sugiere: + +- intentar resolverlo por no más de 10 minutos: en este tiempo revisar bien el material disponible y lo que hay en la web. Un lugar clásico donde se discuten problemas de código es [Stack overflow](https://stackoverflow.com/). + +- si no se logra solucionar entonces se sugiere encarecidamente usar el foro al final de esta página, ya que nos sirve para dejar la respuesta disponible para otr_s compañer_s que pueden tener la misma duda (generalmente es así) + +# ¿Cómo preguntar? + +- Desripción general del problema, código y error que ocurre +- Si con esta información no basta para solucionar el problema, entonces se le podrá solicitar información adicionales, tales como el archivo de código y la información de la versión de las librerías que aparece al ejecutar el comando `sessionInfo()` + + +# Foro prácticos + + + + + diff --git a/assignment/index.qmd b/assignment/index.qmd index 6e11b99a..cf11e2bc 100644 --- a/assignment/index.qmd +++ b/assignment/index.qmd @@ -1,73 +1,69 @@ --- -title: "Assignments" +title: "Prácticos" +lang: es +format: + html: + toc: false --- -The main goals of this class are to help you design, critique, code, and run rigorous, valid, and feasible evaluations of public sector programs. Each type of assignment in this class is designed to help you achieve one or more of these goals. +## Descripción +Las clases se acompañan de guías de trabajo con énfasis en la aplicación práctica mediante el uso de software estadístico. -## Weekly check-in +Las guías se encontrarán disponibles en esta página (link a la izquierda). Habrá dos guías para la Unidad 1 (Inferencia), y 2 para la Unidad 2 (Asociación). La unidad 3 será eminentemente práctica y de aplicación. -Every week, after you finish working through the content, I want to hear about what you learned and what questions you still have. Because the content in this course is flipped, these questions are **crucial** for our weekly in-class discussions. +Las guías son desarrolladas de manera autónoma, y cada dos semanas los días martes habrá un espacio práctico de revisión de las guías y de consultas. Para ello se espera que quienes puedan traigan su computador a la sala, y quienes no tienen lo podrán hacer simultáneamente en la sala de computación 345. -To encourage engagement with the course content—and to allow me to collect the class's questions each week—you'll need to fill out a short response on iCollege. This should be ≈150 words. That's fairly short: there are ≈250 words on a typical double-spaced page in Microsoft Word (500 when single-spaced). +En las prácticas vamos a trabajar con el software R, Versión 4.4.1. -These check-ins are **due by noon on the days we have class**. This is so I can look through the responses and start structuring the discussion for the evening's class. +## Trabajo con software R -You should answer these two questions each week: +Para los análisis estadísticos de este curso usamos el programa R, en parte porque es gratuito, pero la principal razón es que es de código abierto. Esto quiere decir que cualquier persona puede revisar cómo está hecho y aportar con modificaciones y procedimientos nuevos, como son las librerías que realizan funciones específicas. -1. What were the **three (3)** most interesting or exciting things you learned from the session? Why? -2. What were the **three (3)** muddiest or unclear things from the session this week? What are you still wondering about? +El carácter de apertura de R posee muchas ventajas, pero también conlleva complicaciones. Se actualiza permanentemente, así como también las librerías, y esto puede generar problemas de compatibilidad y de fallas en ejecución del código de análisis. -You can include more than three interesting or muddiest things, but you must include at least three. There should be six easily identifiable things in each check-in: three exciting things and three questions. +Para minimizar estos posibles problemas en este curso, vamos a: -I will grade these check-ins using a check system: +- trabajar con la misma y última versión de R +- evitar uso de tilde, ñ, espacios y mayúsculas tanto en carpetas y archivos, así como también en los nombres de las variables -- ✔+: (*11.5 points (115%) in gradebook*) Response shows phenomenal thought and engagement with the course content. I will not assign these often. -- ✔: (*10 points (100%) in gradebook*) Response is thoughtful, well-written, and shows engagement with the course content. This is the expected level of performance. -- ✔−: (*5 points (50%) in gradebook*) Response is hastily composed, too short, and/or only cursorily engages with the course content. This grade signals that you need to improve next time. I will hopefully not assign these often. +## Sobre errores y consultas sobre problemas con R y ejecución de código -Notice that is essentially a pass/fail or completion-based system. I'm not grading your writing ability, I'm not counting the exact number of words you're writing, and I'm not looking for encyclopedic citations of every single reading to prove that you did indeed read everything. I'm looking for thoughtful engagement, three interesting things, and three questions. That's all. Do good work and you'll get a ✓. +En caso de preguntas sobre las clases hacerlas en [Foro prácticos](/assignment/foro-practicos.html) -You will submit these check-ins via iCollege. +### Instalación de R & RStudio {#installR} +Para esta versión del curso vamos a trabajar con el programa R Version 4.4.1 y con RStudio, que ofrece un entorno más amigable para trabajar con R. -## Problem sets +Para **instalar R**: ir a [https://cran.r-project.org/index.html](https://cran.r-project.org/index.html) y bajar/instalar la versión correspondiente a la plataforma utilizada (Windows, Mac o Linux) -To practice writing R code, running inferential models, and thinking about causation, you will complete a series of problem sets. +Para instalar **RStudio**: ir a [https://rstudio.com/products/rstudio/](https://rstudio.com/products/rstudio/) y bajar/instalar RStudio desktop, Open Source License (libre). -You need to show that you made a good faith effort to work each question. I will not grade these in detail. The problem sets will be graded using a check system: +En caso de dudas se puede revisar el siguiente **video tutorial** de instalación de R & RStudio, preparado por Julio Iturra (apoyo docente) del curso Estadística Multivariada 2020: -- ✔+: (*33 points (110%) in gradebook*) Assignment is 100% completed. Every question was attempted and answered, and most answers are correct. Document is clean and easy to follow. Work is exceptional. I will not assign these often. -- ✔: (*30 points (100%) in gradebook*) Assignment is 70–99% complete and most answers are correct. **This is the expected level of performance.** -- ✔−: (*15 points (50%) in gradebook*) Assignment is less than 70% complete and/or most answers are incorrect. This indicates that you need to improve next time. I will hopefully not asisgn these often. +
+ +
-You may (and should!) work together on the problem sets, but *you must turn in your own answers.* You cannot work in groups of more than **four** people, and you must note who participated in the group in your assignment. +Si por alguna razón se prefiere trabajar sin descargar, también se puede utilizar RCloud, abajo un tutorial preparado por Valentina Andrade para el curso de Estadística Multivariada: +
+ +
-## Evaluation assignments -For your [final project](/assignment/final-project.qmd), you will conduct a pre-registered evaluation of a social program using synthetic data. To (1) give you practice with the principles of program evaluation, research design, measurement, and causal diagrams, and (2) help you with the foundation of your final project, you will complete a set of four evaluation-related assignments. +### Sobre el trabajo en hojas de código en RStudio {#codigoR} -Ideally these will become major sections of your final project. However, there is no requirement that the programs you use in these assignments must be the same as the final project. If, through these assignments, you discover that your initially chosen program is too simple, too complex, too boring, etc., you can change at any time. +- El trabajo de análisis en RStudio se efectua en una _hoja de código_ (o R script o sintaxis, o para los usuarios de Stata la _do-file_), que es donde se anotan los comandos y funciones. Para abrir una hoja, en RStudio ir a File > New File > R Script (o ctrl+shift+N),y aparecerá un panel con una pestaña "Untitled" (sin título). Esta es la hoja de código donde se anotan los comandos. -These assignments will be graded using a check system: +- Los contenidos de las hojas de código son básicamente 2: -- ✔+: (*33 points (110%) in gradebook*) Assignment is 100% completed. Every question was attempted and answered, and most answers are correct. Document is clean and easy to follow. Work is exceptional. I will not assign these often. -- ✔: (*30 points (100%) in gradebook*) Assignment is 70–99% complete and most answers are correct. **This is the expected level of performance.** -- ✔−: (*15 points (50%) in gradebook*) Assignment is less than 70% complete and/or most answers are incorrect. This indicates that you need to improve next time. I will hopefully not asisgn these often. + - comandos o funciones: se escriben en la hoja, y para ejecutarlos se debe posicionar el cursor en la línea respectiva y ctrl+enter, el resultado aparecerá en el panel de resultados o _Consola_. + - texto: para escribir títulos, comentarios, y todo lo que permita entender qué se está haciendo, al principio de la línea respectiva escribir el signo `#` +- Para grabar nuestra hoja de código y así respaldar nuestros análisis, File > Save (o ctrl+s), y dar un nombre al archivo. Recordar: breve, sin espacios ni tildes ni eñes. Por defecto, la extensión de estos archivos es .R -## Exams - -There will be two exams covering (1) program evaluation, design, and causation, and (2) the core statistical tools of program evaluation and causal inference. - -You will take these exams online through iCollege. The exams will have a time limit, but you can use notes and readings and [the Google](https://www.youtube.com/watch?v=AQ45fO1uiOQ). You must take the exams on your own though, and not talk to anyone about them. - - -## Final project - -At the end of the course, you will demonstrate your knowledge of program evaluation and causal inference by completing a final project. - -[Complete details for the final project are here.](/assignment/final-project.qmd) - -There is no final exam. This project is your final exam. diff --git a/assignment/weekly-check-in.qmd b/assignment/weekly-check-in.qmd deleted file mode 100644 index 6593743f..00000000 --- a/assignment/weekly-check-in.qmd +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: "Weekly check-in" ---- - -Every week, after you finish working through the content, I want to hear about what you learned and what questions you still have. Because the content in this course is flipped, these questions are **crucial** for our weekly in-class discussions. - -To encourage engagement with the course content—and to allow me to collect the class's questions each week—you'll need to fill out a short response on iCollege. This should be ≈150 words. That's fairly short: there are ≈250 words on a typical double-spaced page in Microsoft Word (500 when single-spaced). - -These check-ins are **due by noon on the days we have class**. This is so I can look through the responses and start structuring the discussion for the evening's class. - -You should answer these two questions each week: - -1. What were the **three (3)** most interesting or exciting things you learned from the session? Why? -2. What were the **three (3)** muddiest or unclear things from the session this week? What are you still wondering about? - -You can include more than three interesting or muddiest things, but you must include at least three. There should be six easily identifiable things in each check-in: three exciting things and three questions. - -I will grade these check-ins using a check system: - -- ✔+: (*11.5 points (115%) in gradebook*) Response shows phenomenal thought and engagement with the course content. I will not assign these often. -- ✔: (*10 points (100%) in gradebook*) Response is thoughtful, well-written, and shows engagement with the course content. This is the expected level of performance. -- ✔−: (*5 points (50%) in gradebook*) Response is hastily composed, too short, and/or only cursorily engages with the course content. This grade signals that you need to improve next time. I will hopefully not assign these often. - -Notice that is essentially a pass/fail or completion-based system. I'm not grading your writing ability, I'm not counting the exact number of words you're writing, and I'm not looking for encyclopedic citations of every single reading to prove that you did indeed read everything. I'm looking for thoughtful engagement, three interesting things, and three questions. That's all. Do good work and you'll get a ✓. - -You will submit these check-ins via iCollege. diff --git a/content/01-content.qmd b/content/01-content.qmd index 42201cf0..ba30ec0b 100644 --- a/content/01-content.qmd +++ b/content/01-content.qmd @@ -1,119 +1,21 @@ --- -title: "Evaluation and the causal revolution" -date: "2023-01-12" +title: "Presentación" +date: "2024-08-12" +lang: es +execute: + freeze: auto +website: + comments: + giscus: + repo: cursos-metodos-facso/correlacional --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sHcnk9KcoQVzDywxWRzVWHC" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "BIhz1dz5Vws", "Introduction", "1", TRUE, - "f-sOSXyeeJE", "Data science and public service", "ds-ps", FALSE, - "Z2foqSMWnGU", "Evidence, evaluation, and causation (1)", "evidence-evaluation-causation", FALSE, - "W5ChuEhAzrs", "Evidence, evaluation, and causation (2)", "evidence-evaluation-causation1", FALSE, - "D4LoEctZxHE", "Class details", "class-details", FALSE -) -``` -## Readings +# Foro -- The [syllabus](/syllabus.qmd), [content](/content/index.qmd), [examples](/example/index.qmd), and [assignments](/assignment/index.qmd) pages for this class -- {{< fa book >}} Chapter 1 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapters 1 and 2 in *The Effect* [@Huntington-Klein:2021] -- {{< fa brands youtube >}} DJ Patil, ["What Makes a Radical and Revolutionary Technology?"](https://www.youtube.com/watch?v=UOoMzaWOQJA) - - (DJ Patil is the former Chief Data Scientist of the United States under President Obama. He gave this forum address at Brigham Young University on February 13, 2018.) -- {{< fa arrow-up-right-from-square >}} Stephen Goldsmith, ["Next Generation of Public Employees Must Understand Data and Policy"](http://www.govtech.com/opinion/Next-Generation-Public-Employees-Must-Understand-Data-Policy.html) -- {{< fa arrow-up-right-from-square >}} Hadley Wickham, ["Data Science: How is it Different To Statistics?"](https://imstat.org/2014/09/04/data-science-how-is-it-different-to-statistics%E2%80%89/) - - -## Slides - -:::{.callout-warning} -**Important!!**: In the "Class details" video, I say that there are three books for the class: the World Bank evaluation book, *'Metrics Matter*, and *Causal Inference: The Mixtape*. [That's not the case this semester](/syllabus.qmd#books), since we're using the new *The Effect* book, which replaces both *'Metrics Matter* and the *Mixtape*. So ignore that part of the video. The slides are updated with the correct books, though: [see here](/slides/01-slides.html#85). -::: - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/01-slides") -slide_tabs(slide_details, "/slides/01-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -:::{.callout-warning} -**Important!!**: In the "Class details" video, I say that there are three books for the class: the World Bank evaluation book, *'Metrics Matter*, and *Causal Inference: The Mixtape*. [That's not the case this semester](/syllabus/#books), since we're using the new *The Effect* book, which replaces both *'Metrics Matter* and the *Mixtape*. So ignore that part of the video. The slides are updated with the correct books, though: [see here](/slides/01-slides.html#85). -::: - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 1 in-person slides**](/slides/01-class.html) ([PDF](/slides/01-class.pdf)) - -RStudio labs: - -- [RStudio.cloud project](https://posit.cloud/spaces/323551/content/5254772) -- [Project `.zip` file](/projects/01-class.zip) -- [Lab slides 1: Markdown and universal writing](/slides/01-class_01_markdown-writing.html) ([PDF](/slides/01-class_01_markdown-writing.pdf)) -- [Lab slides 2: Getting started with R and RStudio](/slides/01-class_02-getting-started.html) ([PDF](/slides/01-class_02-getting-started.pdf)) -- [Lab slides 3: Data basics](/slides/01-class_03_data-basics.html) ([PDF](/slides/01-class_03_data-basics.pdf)) -- [Lab slides 4: Visualize data with ggplot2](/slides/01-class_04_visualize-data.html) ([PDF](/slides/01-class_04_visualize-data.pdf)) -- [Lab slides 5: Transform data with dplyr](/slides/01-class_05_transform-data.html) ([PDF](/slides/01-class_05_transform-data.pdf)) - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sHcnk9KcoQVzDywxWRzVWHC - -https://youtu.be/BIhz1dz5Vws -PMAP 8521 • (1) Evaluation and the causal revolution: (0) Introduction - -Introduction to the class session on evaluation and the causal revolution - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/01-content/ - - -https://youtu.be/f-sOSXyeeJE -PMAP 8521 • (1) Evaluation and the causal revolution: (1) Data science and public service - -Discussion of the role of data science in the public and nonprofit sectors - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/01-content/ - - -https://youtu.be/Z2foqSMWnGU -PMAP 8521 • (1) Evaluation and the causal revolution: (2.1) Evidence, evaluation, and causation - -Discussion of the role of evidence-based policy and program evaluation - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/01-content/ - - -https://youtu.be/W5ChuEhAzrs -PMAP 8521 • (1) Evaluation and the causal revolution: (2.2) Evidence, evaluation, and causation - -Discussion of why causation is tricky (but also possible!) to measure - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/01-content/ - - -https://youtu.be/D4LoEctZxHE -PMAP 8521 • (1) Evaluation and the causal revolution: (3) Class details - -Overview of how the class works - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/01-content/ -``` +En caso de preguntas sobre las clases hacerlas en [Foro Clases](/content/foro-clases.html) diff --git a/content/02-content.qmd b/content/02-content.qmd old mode 100755 new mode 100644 index 2821aeda..a464aa1d --- a/content/02-content.qmd +++ b/content/02-content.qmd @@ -1,134 +1,15 @@ --- -title: "Regression and inference" -date: "2023-01-19" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sERjvBbJGr9mpqvtiLVPzd4" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "S4OmWxc3h3Y", "Introduction", "1", TRUE, - "DGbLEgL4g6Y", "Drawing lines", "drawing-lines", FALSE, - "n-rV1TIoIgw", "Lines, Greek, and regression", "lines-greek-regression", FALSE, - "RYKsrTKWCR4", "Null worlds and statistical significance", "significance", FALSE -) -``` - -## Readings - -- {{< fa book >}} Chapters 3 and 4 in *The Effect* [@Huntington-Klein:2021] - - -## Recommended readings - -Look through your notes on regression from your last stats class. Also, you can skim through these resources: - -- {{< fa book >}} [5.1–5.4 in *ModernDive*](https://moderndive.com/5-regression.html) [@IsmayKim:2018] -- {{< fa book >}} [6.1–6.4 in *ModernDive*](https://moderndive.com/6-multiple-regression.html) [@IsmayKim:2018] -- {{< fa book >}} 7.1–7.3 in *OpenIntro Statistics* [@DiezBarrCetinkaya-Rundel:2017] -- {{< fa book >}} 8.1 in *OpenIntro Statistics* [@DiezBarrCetinkaya-Rundel:2017] - -We'll review all this regression stuff in the videos, so *don't panic* if this all looks terrifying! Also, take advantage of the videos that accompany the *OpenIntro* chapters. And *also*, the *OpenIntro* chapters are heavier on the math—don't worry if you don't understand everything. - - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/02-slides") -slide_tabs(slide_details, "/slides/02-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 2 FAQ slides**](/slides/02-class.html) ([PDF](/slides/02-class.pdf)) -- [Errors vs. warnings vs. messages](https://moderndive.com/1-getting-started.html#messages) (i.e. what to do when R shows you red text) -- R Markdown examples: - - [Quarto!](https://quarto.org/) - - Example R Markdown file used as a code-through or step-by-step teaching document: - - Lots of [blog posts here](https://www.andrewheiss.com/blog/) - - Julia Silge, ["Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets"](https://juliasilge.com/blog/star-trek/) - - Bob Rudis, ["Some Covid Donuts To End The Week"](https://rud.is/b/2021/08/13/some-covid-donuts-to-end-the-week/) - - Holger K. von Jouanne-Diedrich, ["The “Youth Bulge” of Afghanistan: The Hidden Force behind Political Instability"](https://blog.ephorie.de/the-youth-bulge-of-afghanistan-the-hidden-force-behind-political-instability) - - Example R Markdown file used as a publicly-consumable document: - - Click on the "Manuscript" menu item [at this site](https://stats.andrewheiss.com/cautioning-canary/) - - See [the Rmd file here](https://github.com/andrewheiss/cautioning-canary/blob/master/manuscript/manuscript.Rmd) - -Hands-on R materials: - -- [{{< fa brands r-project >}} Posit.cloud project](https://posit.cloud/spaces/323551/content/5254772) -- [{{< fa file-zipper >}} Project `.zip` file](/projects/01-class.zip) -- [{{< fa file-csv >}} Gapminder data](/files/data/package_data/gapminder.csv) -- [Lab slides 1: Markdown and universal writing](/slides/01-class_01_markdown-writing.html) ([PDF](/slides/01-class_01_markdown-writing.pdf)) -- [Lab slides 2: Getting started with R and RStudio](/slides/01-class_02-getting-started.html) ([PDF](/slides/01-class_02-getting-started.pdf)) -- [Lab slides 3: Data basics](/slides/01-class_03_data-basics.html) ([PDF](/slides/01-class_03_data-basics.pdf)) -- [Lab slides 4: Visualize data with ggplot2](/slides/01-class_04_visualize-data.html) ([PDF](/slides/01-class_04_visualize-data.pdf)) -- [Lab slides 5: Transform data with dplyr](/slides/01-class_05_transform-data.html) ([PDF](/slides/01-class_05_transform-data.pdf)) - - -## Bayesian statistics resources - -In class I briefly mentioned the difference between frequentist and Bayesian statistics. You can see a bunch of [additional resources and examples of these two approaches to statistics here](/resource/bayes.qmd). [This huge blog post](https://www.andrewheiss.com/blog/2021/12/01/multilevel-models-panel-data-guide/) also shows how to do multilevel models with Bayesian models. - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sERjvBbJGr9mpqvtiLVPzd4 - -https://youtu.be/S4OmWxc3h3Y -PMAP 8521 • (2) Regression and inference: (0) Introduction - -Introduction to the class session on regression and inference - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/02-content/ - - -https://youtu.be/DGbLEgL4g6Y -PMAP 8521 • (2) Regression and inference: (1) Drawing lines - -Overview of the basics of regression analysis (particularly ordinary least squares (OLS) regression) - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/02-content/ - - -https://youtu.be/n-rV1TIoIgw -PMAP 8521 • (2) Regression and inference: (2) Lines, Greek, and regression - -Discussion of how to estimate parameters from a population using regression (with R specifically) - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/02-content/ - - -https://youtu.be/RYKsrTKWCR4 -PMAP 8521 • (2) Regression and inference: (3) Null worlds and statistical significance - -Discussion of statistical significance and p-values using simulated null worlds - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/02-content/ +title: "Inferencia 1: Datos, probabilidad y distribuciones muestrales" +date: "2024-08-13" +lang: es +execute: + freeze: auto +--- -https://youtu.be/E-Zz5S5NOUo -PMAP 8521 • Example: Regression with R +# Documento de presentación -Demonstration of how to run regression models with R + -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/regression/ -``` +# Link al [Foro de Clases](/content/foro-clases.qmd) \ No newline at end of file diff --git a/content/03-content.qmd b/content/03-content.qmd old mode 100755 new mode 100644 index bd7ea2b8..8c8407de --- a/content/03-content.qmd +++ b/content/03-content.qmd @@ -1,119 +1,15 @@ --- -title: "Theories of change and logic models" -date: "2023-01-26" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sHjKJRcD-ebQUbcaFhc0cQH" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "dwsCSqczNng", "Introduction", "1", TRUE, - "XkHUQJp5fh0", "Reproducibility", "reproducibility", FALSE, - "Uos8RumBrzE", "Program theories", "program-theories", FALSE, - "8CJ7M2dTmF4", "Logic models & results chains", "logic-models", FALSE -) -``` - -## Readings - -- {{< fa book >}} Chapter 2 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 2 in *Evaluation: A Systematic Approach* [@RossiLipseyHenry:2019]. This is available on iCollege. -- {{< fa book >}} Chapter 3 in *Evaluation: A Systematic Approach* [@RossiLipseyHenry:2019]. This is available on iCollege. - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/03-slides") -slide_tabs(slide_details, "/slides/03-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 3 FAQ slides**](/slides/03-class.html) ([PDF](/slides/03-class.pdf)) -- [Errors vs. warnings vs. messages](https://moderndive.com/1-getting-started.html#messages) (i.e. what to do when R shows you red text) -- R Markdown examples: - - [Quarto!](https://quarto.org/) - - Example R Markdown file used as a code-through or step-by-step teaching document: - - Lots of [blog posts here](https://www.andrewheiss.com/blog/) - - Julia Silge, ["Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets"](https://juliasilge.com/blog/star-trek/) - - Bob Rudis, ["Some Covid Donuts To End The Week"](https://rud.is/b/2021/08/13/some-covid-donuts-to-end-the-week/) - - Holger K. von Jouanne-Diedrich, ["The “Youth Bulge” of Afghanistan: The Hidden Force behind Political Instability"](https://blog.ephorie.de/the-youth-bulge-of-afghanistan-the-hidden-force-behind-political-instability) - - Example R Markdown file used as a publicly-consumable document: - - Click on the "Manuscript" menu item [at this site](https://stats.andrewheiss.com/cautioning-canary/) - - See [the Rmd file here](https://github.com/andrewheiss/cautioning-canary/blob/master/manuscript/manuscript.Rmd) - -Hands-on R materials: - -- [{{< fa brands r-project >}} Introduction to the tidyverse Posit.cloud project](https://posit.cloud/spaces/323551/content/5254772) -- [{{< fa file-zipper >}} Introduction to the tidyverse project `.zip` file](/projects/01-class.zip) -- [{{< fa brands r-project >}} Regression playground Posit.cloud project](https://posit.cloud/spaces/323551/content/5299495) -- [{{< fa file-zipper >}} Regression playground project `.zip` file](/projects/regression-example.zip) - -- [Lab slides 1: Markdown and universal writing](/slides/01-class_01_markdown-writing.html) ([PDF](/slides/01-class_01_markdown-writing.pdf)) -- [Lab slides 2: Getting started with R and RStudio](/slides/01-class_02-getting-started.html) ([PDF](/slides/01-class_02-getting-started.pdf)) -- [Lab slides 3: Data basics](/slides/01-class_03_data-basics.html) ([PDF](/slides/01-class_03_data-basics.pdf)) -- [Lab slides 4: Visualize data with ggplot2](/slides/01-class_04_visualize-data.html) ([PDF](/slides/01-class_04_visualize-data.pdf)) -- [Lab slides 5: Transform data with dplyr](/slides/01-class_05_transform-data.html) ([PDF](/slides/01-class_05_transform-data.pdf)) - - -### Logic model for MPA/MPP program - -```{r echo=FALSE, out.width="80%"} -knitr::include_graphics(here::here("files", "img", "mpa-mpp-logic-model.jpg"), error = FALSE) -``` - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sHjKJRcD-ebQUbcaFhc0cQH - -https://youtu.be/dwsCSqczNng -PMAP 8521 • (3) Theories of change: (0) Introduction - -Introduction to the class session on theories of change - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/03-content/ - - -https://youtu.be/XkHUQJp5fh0 -PMAP 8521 • (3) Theories of change: (1) Reproducibility - -Discussion about the importance of reproducible data analysis practices - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/03-content/ - - -https://youtu.be/Uos8RumBrzE -PMAP 8521 • (3) Theories of change: (2) Program theories - -Discussion of program components, program impact theories, and the importance of basing programs on sound theories - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/03-content/ +title: "Inferencia 2: Curva normal y error estándar" +date: "2024-08-19" +lang: es +execute: + freeze: auto +--- -https://youtu.be/8CJ7M2dTmF4 -PMAP 8521 • (3) Theories of change: (3) Logic models & results chains +# Documento de presentación -Discussion of results chains, logic models, and the difference between logic models and impact theories + -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/03-content/ -``` +# Link al [Foro de Clases](/content/foro-clases.qmd) \ No newline at end of file diff --git a/content/04-content.qmd b/content/04-content.qmd old mode 100755 new mode 100644 index 20f3ebfd..e27554b3 --- a/content/04-content.qmd +++ b/content/04-content.qmd @@ -1,122 +1,18 @@ --- -title: "Measurement and DAGs" -date: "2023-02-02" +title: "Inferencia 3 - Intervalos de confianza" +date: "2024-08-20" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sFVrHdTifzlyS9dsJjhEhsF" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "V9zIL7bI9WI", "Introduction", "1", TRUE, - "QkFhHOoYq-I", "Abstraction, stretching, and validity", "abstraction", FALSE, - "kJQuH3nssfI", "Causal models", "causal-models", FALSE, - "_qs_1B4ySWY", "Paths, doors, and adjustment", "paths-doors-adjustment", FALSE -) -``` +# Link al [Foro de Clases](/content/foro-clases.qmd) -## Readings -### Measurement -- {{< fa brands youtube >}} [The witch trial scene from *Monty Python and the Holy Grail*](https://www.youtube.com/watch?v=yp_l5ntikaU) -- {{< fa book >}} Chapter 5 in *Evaluation: A Systematic Approach* [@RossiLipseyHenry:2019]. This is available on iCollege. -- {{< fa book >}} Chapter 5 in *The Effect* [@Huntington-Klein:2021] -### DAGs - -- {{< fa file-pdf >}} Julia M. Rohrer, "Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data" [@Rohrer:2018] This will be posted on iCollege. -- {{< fa file-pdf >}} Section 2 only (pp. 4–11) from Julian Schuessler and Peter Selb, "Graphical Causal Models for Survey Inference." [@SchuesslerSelb:2019] [The PDF is available at SocArXiv.](https://osf.io/preprints/socarxiv/hbg3m/) -- {{< fa book >}} Chapters 6 and 7 in *The Effect* [@Huntington-Klein:2021] - -### DAG example page - -- The [example page on DAGs](/example/dags.qmd) shows how to draw and analyze DAGs with both dagitty.net and R + **ggdag** - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/04-slides") -slide_tabs(slide_details, "/slides/04-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 4 FAQ slides**](/slides/04-class.html) ([PDF](/slides/04-class.pdf)) -- [{{< fa brands r-project >}} Regression playground Posit.cloud project](https://posit.cloud/spaces/323551/content/5299495) -- [{{< fa file-zipper >}} Regression playground project `.zip` file](/projects/regression-example.zip) - -## Bayesian statistics resources - -In class I briefly mentioned the difference between frequentist and Bayesian statistics. You can see a bunch of [additional resources and examples of these two approaches to statistics here](/resource/bayes.qmd). [This huge blog post](https://www.andrewheiss.com/blog/2021/12/01/multilevel-models-panel-data-guide/) also shows how to do multilevel models with Bayesian models. - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sFVrHdTifzlyS9dsJjhEhsF - -https://youtu.be/V9zIL7bI9WI -PMAP 8521 • (4) Measurement and DAGs: (0) Introduction - -Introduction to the class session on outcome measurement and DAGs - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/04-content/ - - -https://youtu.be/QkFhHOoYq-I -PMAP 8521 • (4) Measurement and DAGs: (1) Abstraction, stretching, and validity - -Discussion of how to measure abstract concepts like program outcomes using a ladder of abstraction - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/04-content/ - - -https://youtu.be/kJQuH3nssfI -PMAP 8521 • (4) Measurement and DAGs: (2) Causal models - -Introduction to causal models and DAGs - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/04-content/ - - -https://youtu.be/_qs_1B4ySWY -PMAP 8521 • (4) Measurement and DAGs: (3) Paths, doors, and adjustment - -Discussion of how to identify associations, close backdoors, and isolate pathways in a DAG - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/04-content/ - - -https://youtu.be/3euqrnD9w7c -PMAP 8521 • Example: DAGs with Dagitty - -Demonstration of how to create and analyze DAGs with dagitty.net - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/dags/ - - -https://youtu.be/uoAjyyToUTE -PMAP 8521 • Example: DAGs with R and ggdag - -Demonstration of how to create and analyze DAGs with R and the {ggdag} package - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/dags/ -``` diff --git a/content/05-content.qmd b/content/05-content.qmd old mode 100755 new mode 100644 index 075c8d11..39129c0c --- a/content/05-content.qmd +++ b/content/05-content.qmd @@ -1,120 +1,17 @@ --- -title: "DAGs and potential outcomes" -date: "2023-02-09" +title: "Inferencia 4 - Test de hipótesis" +date: "2024-08-26" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sHwqEeiG5xb3zAHcQCGWZUC" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "6n7Qicffb2k", "Introduction", "1", TRUE, - "vARju899D3E", "do()ing observational causal inference", "dag-adjustment", FALSE, - "0pOA8y3YASA", "Potential outcomes", "potential-outcomes", FALSE -) -``` +# Link al [Foro de Clases](/content/foro-clases.qmd) -## Readings -- {{< fa podcast >}} Prologue and at least one of the four acts from [This American Life, "Gardens of Branching Paths," episode #691, January 10, 2020](https://www.thisamericanlife.org/691/gardens-of-branching-paths) -- {{< fa book >}} Chapter 3 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapters 8, 9, and 10 in *The Effect* [@Huntington-Klein:2021] -### Potential outcomes, ATEs, and CATEs example page - -- The [example page on potential outcomes, ATEs, and CATEs](/example/po-ate-cate.qmd) shows how to use R to calculate ATEs and CATEs - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/05-slides") -slide_tabs(slide_details, "/slides/05-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 5 FAQ slides**](/slides/05-class.html) ([PDF](/slides/05-class.pdf)) - -### Confounding, unblocked - -
- -
- -### Confounding, blocked - -
- -
- -### Mediation - -
- -
- -### Logic model and DAG for closing streets program - -Logic model: - -```{r echo=FALSE, out.width="80%"} -knitr::include_graphics(here::here("files", "img", "streets-logic-model.jpg"), error = FALSE) -``` - -DAG: - -```{r echo=FALSE, out.width="80%"} -knitr::include_graphics(here::here("files", "img", "streets-dag.jpg"), error = FALSE) -``` - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sHwqEeiG5xb3zAHcQCGWZUC - -https://youtu.be/6n7Qicffb2k -PMAP 8521 • (5) DAGs and potential outcomes: (0) Introduction - -Introduction to the class session on DAGs and potential outcomes - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/05-content/ - - -https://youtu.be/vARju899D3E -PMAP 8521 • (5) DAGs and potential outcomes: (1) do()ing observational causal inference - -Discussion of the do-operator, how experiments let you manipulate DAGs, and how do-calculus lets you transform do-based expressions into do-free versions - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/05-content/ - - -https://youtu.be/0pOA8y3YASA -PMAP 8521 • (5) DAGs and potential outcomes: (2) Potential outcomes - -Discussion and demonstration of how the potential outcomes framework works and how it connects to DAGs - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/05-content/ -``` diff --git a/content/06-content.qmd b/content/06-content.qmd old mode 100755 new mode 100644 index 3f89e50b..d8d8ef4b --- a/content/06-content.qmd +++ b/content/06-content.qmd @@ -1,103 +1,15 @@ --- -title: "Threats to validity" -date: "2023-02-16" +title: "Inferencia 5 - Prueba t + hipótesis direccionales" +date: "2024-09-02" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sFJtz7egfUASfhhz6zuj7GZ" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "46v8l60nQnI", "Introduction", "1", TRUE, - "N4XYXuw_IA0", "Construct validity", "construct-validity", FALSE, - "IziQBDzUJ6E", "Statistical conclusion validity", "statistical-conclusion-validity", FALSE, - "ssz2DTfrGhw", "Internal validity", "internal-validity", FALSE, - "uK7YN6KTRT4", "External validity", "external-validity", FALSE -) -``` -## Readings - -- {{< fa file-pdf >}} Guido Imbens, "Statistical Significance, *p*-Values, and the Reporting of Uncertainty" [@Imbens:2021]. This is available on iCollege, and [it's also free here](https://doi.org/10.1257/jep.35.3.157). -- {{< fa arrow-up-right-from-square >}} Randall Munroe, ["Significant"](https://xkcd.com/882/) -- {{< fa arrow-up-right-from-square >}} Alexander Coppock, ["10 Things to Know About Statistical Power"](https://egap.org/resource/10-things-to-know-about-statistical-power/) -- {{< fa trophy >}} Play around with FiveThirtyEight, ["Hack Your Way To Scientific Glory"](https://projects.fivethirtyeight.com/p-hacking/) -- {{< fa book >}} Chapter 9 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 11 in *The Effect* [@Huntington-Klein:2021] - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/06-slides") -slide_tabs(slide_details, "/slides/06-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 6 FAQ slides**](/slides/06-class.html) ([PDF](/slides/06-class.pdf)) -- [Zilch!](/resource/zilch.qmd) -- [{{< fa brands r-project >}} Live R script](https://www.dropbox.com/s/em6jftd6hrro86f/bayes-fun.R) -- [{{< fa file-csv >}} `restaurant_inspections.csv`](https://vincentarelbundock.github.io/Rdatasets/csv/causaldata/restaurant_inspections.csv) - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sFJtz7egfUASfhhz6zuj7GZ - -https://youtu.be/46v8l60nQnI -PMAP 8521 • (6) Threats to validity: (0) Introduction - -Introduction to the class session on threats to validity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/06-content/ - - -https://youtu.be/N4XYXuw_IA0 -PMAP 8521 • (6) Threats to validity: (1) Construct validity - -Discussion of threats to construct validity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/06-content/ - - -https://youtu.be/IziQBDzUJ6E -PMAP 8521 • (6) Threats to validity: (2) Statistical conclusion validity - -Discussion of threats to statistical conclusion validity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/06-content/ - - -https://youtu.be/ssz2DTfrGhw -PMAP 8521 • (6) Threats to validity: (3) Internal validity - -Discussion of threats to internal validity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/06-content/ - - -https://youtu.be/uK7YN6KTRT4 -PMAP 8521 • (6) Threats to validity: (4) External validity - -Discussion of threats to external validity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/06-content/ -``` diff --git a/content/07-content.qmd b/content/07-content.qmd old mode 100755 new mode 100644 index 4baf8f2c..ccca2291 --- a/content/07-content.qmd +++ b/content/07-content.qmd @@ -1,157 +1,15 @@ --- -title: "Randomization and matching" -date: "2023-02-23" +title: "Inferencia 3 - Hipótesis y prueba t" +date: "2023-10-16" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sGJURMOwN9tf9MNDN4t0JMz" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "m4nKVJ-2K3I", "Introduction", "1", TRUE, - "-zjSixOybQE", "The magic of randomization", "magic-randomization", FALSE, - "W0NyALrjLA4", "How to analyze RCTs", "rct-how", FALSE, - "vHb2TYAze74", 'The "gold" standard', "gold-standard", FALSE, - "jECz-SS-sqc", "Adjustment with matching", "matching", FALSE -) -``` -## Readings -- {{< fa file-pdf >}} Andrew Heiss, "Causal Inference," Chapter 10 in *R for Political Data Science: A Practical Guide* (2020) (Ignore the exercises!). [Get the PDF here.](/files/10-causal-inference.pdf) -- {{< fa book >}} Chapter 4 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapters 11 and 13 in *The Effect* [@Huntington-Klein:2021]. **Focus especially on section 13.3 about standard errors.** And skim chapter 11; it's an overview of regression, which we reviewed in session 2, but it also applies the language of DAGs to regression, so look for that specifically as you read. -- {{< fa podcast >}} Planet Money, ["Moving To Opportunity?,"](https://www.npr.org/2019/08/30/756028025/episode-937-moving-to-opportunity) episode 937 -- {{< fa arrow-up-right-from-square >}} Aaron Carroll, ["Workplace Wellness Programs Don’t Work Well. Why Some Studies Show Otherwise,"](https://www.nytimes.com/2018/08/06/upshot/employer-wellness-programs-randomized-trials.html) *The Upshot*, August 6, 2018 - -### RCTs, matching, and inverse probability weighting - -- The [example page on RCTs](/example/rcts.qmd) shows how to use R to analyze and estimate causal effects from RCTs -- The [example page on matching and inverse probability weighting](/example/matching-ipw.qmd) shows how to use R to close backdoors, make adjustments, and find causal effects from observational data using matching and inverse probability weighting - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/07-slides") -slide_tabs(slide_details, "/slides/07-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 7 FAQ slides**](/slides/07-class.html) ([PDF](/slides/07-class.pdf)) -- [In-class `.zip` file](/projects/rcts-ipw.zip) -- [Posit.cloud project](https://posit.cloud/spaces/323551/content/5479370) - -Other helpful resources: - -- ["The Impact of Mask Distribution and Promotion on Mask Uptake and COVID-19 in Bangladesh"](https://www.poverty-action.org/study/impact-mask-distribution-and-promotion-mask-uptake-and-covid-19-bangladesh) -- Macartan Humphreys, ["I saw your RCT and I have some worries! FAQs"](https://macartan.github.io/i/notes/rct_faqs.html) -- Darren Dahly, ["Out of balance: A perspective on covariate adjustment in randomized experiments"](https://statsepi.substack.com/p/out-of-balance) -- [Bayesian stats and decison making](/resource/bayes.qmd) -- [Standard errors](/example/standard-errors.qmd) -- [Unobserved confounding and sensitivity analysis](/example/confounding-sensitivity.qmd) - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sGJURMOwN9tf9MNDN4t0JMz - -https://youtu.be/m4nKVJ-2K3I -PMAP 8521 • (7) Randomization and matching: (0) Introduction - -Introduction to the class session on randomization and matching - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/07-content/ - - -https://youtu.be/-zjSixOybQE -PMAP 8521 • (7) Randomization and matching: (1) The magic of randomization - -Discussion of how randomization allows for strong claims of causal inference - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/07-content/ - - -https://youtu.be/W0NyALrjLA4 -PMAP 8521 • (7) Randomization and matching: (2) How to analyze RCTs - -Discussion and demonstration of how to analyze the results of an RCT using R - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/07-content/ - - -https://youtu.be/vHb2TYAze74 -PMAP 8521 • (7) Randomization and matching: (3) The "gold" standard - -Discussion of why RCTs aren't really a true "gold" standard for causal inference - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/07-content/ - - -https://youtu.be/jECz-SS-sqc -PMAP 8521 • (7) Randomization and matching: (4) Adjustment with matching - -Discussion of matching and inverse probability weighting + how these methods allow you to close DAG backdoors - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/07-content/ - - -https://www.youtube.com/playlist?list=PLS6tnpTr39sGv7RPHEZy8CDSdCliQOW8K - -https://youtu.be/OoYgOwxUQgI -PMAP 8521 • Example: Matching and IPW with R: 1: Drawing a DAG - -Demonstration of how to connect nodes in a DAG with dagitty to find backdoor associations - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/matching-ipw/ - - -https://youtu.be/_FNrfFe99R0 -PMAP 8521 • Example: Matching and IPW with R: 2: Creating an RStudio project - -Demonstration of how to create a new RStudio project and get ready to analyze data - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/matching-ipw/ - - -https://youtu.be/7NW7GbO44BY -PMAP 8521 • Example: Matching and IPW with R: 3: Naive (and wrong!) estimate - -Demonstration of how to calculate an incorrect correlation-is-not-causation estimate of a causal effect with R - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/matching-ipw/ - - -https://youtu.be/uGwSRnET8Sg -PMAP 8521 • Example: Matching and IPW with R: 4: Matching - -Demonstration of how to use the MatchIt package in R to close DAG backdoors, generate synthetic treatment and control groups, and estimate causal effects from observational data - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/matching-ipw/ - - -https://youtu.be/CKm1rZlAwuA -PMAP 8521 • Example: Matching and IPW with R: 5: Inverse probability weighting - -Demonstration of how to use inverse probability weighting with R to close DAG backdoors and estimate causal effects from observational data - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/matching-ipw/ -``` diff --git a/content/08-content.qmd b/content/08-content.qmd old mode 100755 new mode 100644 index 7cc97777..033c25d7 --- a/content/08-content.qmd +++ b/content/08-content.qmd @@ -1,140 +1,16 @@ --- -title: "Difference-in-differences I" -date: "2023-03-02" +title: "Inferencia 4 - Hipótesis direccionales y proporciones" +date: "2023-10-23" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sHydbEoTK9DkyKV92-uE3r-" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "4y84N23Mx-o", "Introduction", "1", TRUE, - "ZHBZtKL7zAg", "Quasi-experiments", "quasi-experiments", FALSE, - "B060u1zGOWo", "Interactions & regression", "interactions-regression", FALSE, - "0v1aE70FhsQ", "Two wrongs make a right", "two-wrongs", FALSE, - "tDWoNTk8CS4", "Diff-in-diff assumptions", "diff-diff-assumptions", FALSE -) -``` -## Readings -- {{< fa book >}} Chapter 7 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 18 in *The Effect* [@Huntington-Klein:2021] - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/08-slides") -slide_tabs(slide_details, "/slides/08-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Session 8 FAQ slides**](/slides/08-class.html) ([PDF](/slides/08-class.pdf)) -- [Session 8 R code](/projects/week-8.zip) (on [Posit.cloud](https://posit.cloud/spaces/323551/content/5522484)) - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sHydbEoTK9DkyKV92-uE3r- - -https://youtu.be/4y84N23Mx-o -PMAP 8521 • (8/9) Difference-in-differences I & II: (0) Introduction - -Introduction to the class session on difference-in-difference analysis - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/08-content/ - - -https://youtu.be/ZHBZtKL7zAg -PMAP 8521 • (8/9) Difference-in-differences I & II: (1) Quasi-experiments - -Discussion of what makes something a quasi-experiment + overview of three common types: difference-in-differences, regression discontinuity, and instrumental variables - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/08-content/ - - -https://youtu.be/B060u1zGOWo -PMAP 8521 • (8/9) Difference-in-differences I & II: (2) Interactions & regression - -Discussion of how interaction terms work in regression - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/08-content/ - - -https://youtu.be/0v1aE70FhsQ -PMAP 8521 • (8/9) Difference-in-differences I & II: (3) Two wrongs make a right - -Overview of the intuition behind difference-in-differences analysis - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/08-content/ - - -https://youtu.be/tDWoNTk8CS4 -PMAP 8521 • (8/9) Difference-in-differences I & II: (4) Diff-in-diff assumptions - -Discussion of the main assumptions for difference-in-differences - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/08-content/ - - -https://www.youtube.com/playlist?list=PLS6tnpTr39sHw3FevrihLn2Ly8pSCUUag - -https://youtu.be/u5iEtpITL3s -PMAP 8521 • Example: Diff-in-diff with R: 1: Getting started - -Demonstration of how to create a new RStudio project and get ready to analyze data - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/diff-in-diff/ - - -https://youtu.be/15BprphMT1g -PMAP 8521 • Example: Diff-in-diff with R: 2: Load and clean data - -Demonstration of how to load and clean some data for diff-in-diff analysis - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/diff-in-diff/ - - -https://youtu.be/SkPLMBkB06o -PMAP 8521 • Example: Diff-in-diff with R: 3: Exploratory data analysis - -Demonstration of how to visually explore some key diff-in-diff variables - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/diff-in-diff/ - - -https://youtu.be/56KPL2_nSxQ -PMAP 8521 • Example: Diff-in-diff with R: 4: Diff-in-diff manually - -Demonstration of how to calculate average before/after treatment/control values and then calculate the difference in differences - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/diff-in-diff/ - - -https://youtu.be/2JctZFGIYWw -PMAP 8521 • Example: Diff-in-diff with R: 5: Diff-in-diff with regression - -Demonstration of how to use interaction terms in regression to calculate a diff-in-diff estimate - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/diff-in-diff/ -``` diff --git a/content/09-content.qmd b/content/09-content.qmd old mode 100755 new mode 100644 index cd59d061..a27cb631 --- a/content/09-content.qmd +++ b/content/09-content.qmd @@ -1,32 +1,15 @@ --- -title: "Difference-in-differences II" -date: "2023-03-09" +title: "Asociación con variables categóricas" +date: "2023-11-13" +lang: es +execute: + freeze: auto --- -## Readings +# Documento de presentación -This session is a continuation of [session 8](/content/08-content/). + -## In-class stuff -Here are all the materials we'll use in class: - -- [**Session 9 FAQ slides**](/slides/09-class.html) ([PDF](/slides/09-class.pdf)) -- [Session 8 R code (from last week)](/projects/week-8.zip) (on [Posit.cloud](https://posit.cloud/spaces/323551/content/5522484)) - -And here are some useful blog posts and examples of the stuff we talked about today: - -- [How random effects work](https://www.andrewheiss.com/blog/2021/12/01/multilevel-models-panel-data-guide/#introduction-to-random-effects-intercepts-for-each-continent) -- [TWFE diagnostics](https://www.andrewheiss.com/blog/2021/08/25/twfe-diagnostics/) - -And Quarto stuff! - -- [Quarto](https://quarto.org/) -- [Netlify Drop](https://app.netlify.com/drop/) (easiest way to get a Quarto site online) -- [Other ways to get Quarto stuff online](https://quarto.org/docs/publishing/) -- [HTML themes for R Markdown and Quarto websites](https://bootswatch.com/) -- Research notebooks + manuscripts: - - [Pandemic Pass?](https://stats.andrewheiss.com/mountainous-mackerel/) - - [Are Donors Really Responding?](https://stats.andrewheiss.com/testy-turtle/) - - [NGO Repression as a Predictor of Worsening Human Rights Abuses](https://stats.andrewheiss.com/cautioning-canary/) diff --git a/content/10-content.qmd b/content/10-content.qmd old mode 100755 new mode 100644 index 431ac245..e7b8d3ce --- a/content/10-content.qmd +++ b/content/10-content.qmd @@ -1,143 +1,15 @@ --- -title: "Regression discontinuity I" -date: "2023-03-23" +title: "Cierre" +date: "2023-11-20" +lang: es +execute: + freeze: auto --- -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) +# Documento de presentación -playlist_id <- "PLS6tnpTr39sGYRrLn6OEoI5kry5gvJvdz" + -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "EqSMG277wVI", "Introduction", "1", TRUE, - "vBDNcPHAGfg", "Arbitrary cutoffs and causal inference", "arbitrary-cutoffs", FALSE, - "ZijPafzc-wY", "Drawing lines and measuring gaps", "lines-gaps", FALSE, - "Or-VUzCZIBs", "Main RDD concerns", "main-concerns", FALSE -) -``` -## Readings -- {{< fa book >}} Chapter 6 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 20 in *The Effect* [@Huntington-Klein:2021] - -### Regression discontinuity - -- The [example page on regression discontinuity](/example/rdd.qmd) shows how to use R to analyze and estimate causal effects with regression discontinuity - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/10-slides") -slide_tabs(slide_details, "/slides/10-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Week 10 FAQ slides**](/slides/10-class.html) ([PDF](/slides/10-class.pdf)) -- [Week 10 R code](/projects/week-10.zip) (on [Posit.cloud](https://posit.cloud/spaces/323551/content/5659946)) - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sGYRrLn6OEoI5kry5gvJvdz - -https://youtu.be/EqSMG277wVI -PMAP 8521 • (10) Regression discontinuity I: (0) Introduction - -Introduction to the class session on regression discontinuity designs - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/10-content/ - - -https://youtu.be/vBDNcPHAGfg -PMAP 8521 • (10) Regression discontinuity I: (1) Arbitrary cutoffs and causal inference - -Discussion of how arbitrary rules and cutoffs let us generate pseudo-treatment and control groups and find causal effects in observational data - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/10-content/ - - -https://youtu.be/ZijPafzc-wY -PMAP 8521 • (10) Regression discontinuity I: (2) Drawing lines and measuring gaps - -Discussion of how to draw lines in different ways around a discontinuity and how that influences the size of the gap - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/10-content/ - - -https://youtu.be/Or-VUzCZIBs -PMAP 8521 • (10) Regression discontinuity I: (3) Main RDD concerns - -Discussion of the main assumptions for regression discontinuity design - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/10-content/ - - -https://www.youtube.com/playlist?list=PLS6tnpTr39sFCr8amjT2Ld_FE34i26a3S - -https://youtu.be/8CayGMcJoLY -PMAP 8521 • Example: Regression discontinuity with R: 1: Getting started - -Demonstration of how to create a new RStudio project and get ready to analyze regression discontinuity data - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ - - -https://youtu.be/ViDChprm2IY -PMAP 8521 • Example: Regression discontinuity with R: 2: Sharp or fuzzy? - -Demonstration of how to determine if a cutoff is sharp or fuzzy - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ - - -https://youtu.be/hqPVIt-72fY -PMAP 8521 • Example: Regression discontinuity with R: 3: Checking for manipulation - -Demonstration of how to check for manipulation in the running variable near the cutpoint with a McCrary density test - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ - - -https://youtu.be/yYqO22l_jgc -PMAP 8521 • Example: Regression discontinuity with R: 4: Finding discontinuity in outcome - -Demonstration of how to plot a discontinuity in an outcome based on a running variable and a cutpoint - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ - - -https://youtu.be/Por8Rd9QuBk -PMAP 8521 • Example: Regression discontinuity with R: 5: Measuring the gap parametrically - -Demonstration of how to measure the gap at a discontinuity using parametric methods - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ - - -https://youtu.be/lfBkAZLX_Z4 -PMAP 8521 • Example: Regression discontinuity with R: 6: Measuring the gap nonparametrically - -Demonstration of how to measure the gap at a discontinuity using nonparametric methods with rdrobust - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/rdd/ -``` diff --git a/content/11-content.qmd b/content/11-content.qmd deleted file mode 100755 index 16528f6c..00000000 --- a/content/11-content.qmd +++ /dev/null @@ -1,152 +0,0 @@ ---- -title: "Instrumental variables I" -date: "2023-03-30" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sEsOSeMK19h6RWUB5kHrn0q" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "2L4h_XRrNAg", "Introduction", "1", TRUE, - "fLJKAMSXDyw", "Endogeneity and exogeneity", "endo-exo", FALSE, - "915d3OMaWNA", "Instruments", "instruments", FALSE, - "rCMQkrVIKOc", "Using instruments", "using-instruments", FALSE -) -``` - -## Readings - -- {{< fa book >}} Chapter 5 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 19 in *The Effect* [@Huntington-Klein:2021] - -### Instrumental variables - -- The [example page on instrumental variables](/example/iv.qmd) shows how to use R to analyze and estimate causal effects with instrumental variables - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/11-slides") -slide_tabs(slide_details, "/slides/11-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Week 11 FAQ slides**](/slides/11-class.html) ([PDF](/slides/11-class.pdf)) -- [Week 11 R code](/projects/week-11.zip) (on [Posit.cloud](https://posit.cloud/spaces/323551/content/5707238)) - - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sEsOSeMK19h6RWUB5kHrn0q - -https://youtu.be/2L4h_XRrNAg -PMAP 8521 • (11) Instrumental variables I: (0) Introduction - -Introduction to the class session on instrumental variables - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/11-content/ - - -https://youtu.be/fLJKAMSXDyw -PMAP 8521 • (11) Instrumental variables I: (1) Endogeneity and exogeneity - -Discussion of the difference between endogeneity and exogeneity in a DAG - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/11-content/ - - -https://youtu.be/915d3OMaWNA -PMAP 8521 • (11) Instrumental variables I: (2) Instruments - -Discussion of what an instrument is and how it needs to be relevant, exclusive, and exogenous - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/11-content/ - - -https://youtu.be/rCMQkrVIKOc -PMAP 8521 • (11) Instrumental variables I: (3) Using instruments - -Discussion of how to use instruments in two-stage least squares (2SLS) models to isolate exogeneity in treatment variables - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/11-content/ - - -https://www.youtube.com/playlist?list=PLS6tnpTr39sF97TfofFZ1O-bOQtB4ygZQ - -https://youtu.be/h-rx-dXo74Y -PMAP 8521 • Example: Instrumental variables with R: 1: Getting started - -Demonstration of how to create a new RStudio project and get ready to analyze data with instrumental variables - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/wHTiAbGwKe4 -PMAP 8521 • Example: Instrumental variables with R: 2: Checking instrument validity - -Demonstration of how to check the validity of an instrument using fake data (wages ~ education | father's education) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/tnerIh0uMxU -PMAP 8521 • Example: Instrumental variables with R: 3: Manual 2SLS - -Demonstration of how to run a two-stage least squares (2SLS) regression model by running a first stage model, generated predicted values of the treatment variable, and use those exogenous predictions in a second stage model (using fake data (wages ~ education | father's education)) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/EI-knWTbH-s -PMAP 8521 • Example: Instrumental variables with R: 4: One-step 2SLS - -Demonstration of how to run two-stage least squares (2SLS) regression model in one step using the iv_robust function from the **estimatr** R package (using fake data (wages ~ education | father's education)) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/W8Up5OOPtEY -PMAP 8521 • Example: Instrumental variables with R: 5: Checking instrument validity (real data) - -Demonstration of how to check instrument validity using real data (wages ~ education | father's education + mother's education) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/6sp8sYrRv5c -PMAP 8521 • Example: Instrumental variables with R: 6: 2SLS (real data) - -Demonstration of how to run two-stage least squares (2SLS) regression with multiple instruments, using real data (wages ~ education | father's education + mother's education) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ - - -https://youtu.be/uDr4nsWkG2c -PMAP 8521 • Example: Instrumental variables with R: 7: Validity + 2SLS (real data) - -Demonstration of how to check instrument validity and run two-stage least squares (2SLS) regression with control variables, using real data (wages ~ education + controls | distance to college + controls) - -Download the data and see the polished code at https://evalf20.classes.andrewheiss.com/example/iv/ -``` diff --git a/content/12-content.qmd b/content/12-content.qmd deleted file mode 100755 index 326fdd21..00000000 --- a/content/12-content.qmd +++ /dev/null @@ -1,90 +0,0 @@ ---- -title: "Instrumental variables II + Regression discontinuity II" -date: "2023-04-06" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sGrbGfvdp0Gob6qAghIdiLq" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "qDAFXXriFyE", "Introduction", "1", TRUE, - "_Ue7blCyEXk", "Treatment effects and compliance", "treatment-effects", FALSE, - "M5cuBBuqZys", "Randomized promotion", "encouragement", FALSE, - "9xGeCGRvVgE", "Fuzzy regression discontinuity", "fuzzy-rdd", FALSE -) -``` - -## Readings - -- The [example page on complier average causal effects](/example/cace.qmd) shows how to use R to disentangle complier average causal effects -- The [example page on fuzzy regression discontinuity](/example/rdd-fuzzy.qmd) shows how to use R to use instrumental variables in fuzzy regression discontinuity, both parametrically and nonparametrically - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/12-slides") -slide_tabs(slide_details, "/slides/12-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Week 12 FAQ slides**](/slides/12-class.html) ([PDF](/slides/12-class.pdf)) -- [Generating random numbers](/example/random-numbers.qmd) -- [The ultimate guide to generating synthetic data for causal inference](/example/synthetic-data.qmd) -- [{{< fa brands r-project >}} Live R script](https://www.dropbox.com/s/mzaaxffdhu5tllp/synthetic-data-sp23.R) - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sGrbGfvdp0Gob6qAghIdiLq - -https://youtu.be/qDAFXXriFyE -PMAP 8521 • (12) Instrumental variables II + Regression discontinuity II: (0) Introduction - -Introduction to the class session on instrumental variables and fuzzy regression discontinuity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/12-content/ - - -https://youtu.be/_Ue7blCyEXk -PMAP 8521 • (12) Instrumental variables II + Regression discontinuity II: (1) Treatment effects and compliance - -Discussion of compliers, always takers, and never takers + how to find complier average causal effects (CACE) by finding the intent-to-treat effect (ITT) and dividing it by the proportion of compliers - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/12-content/ - - -https://youtu.be/M5cuBBuqZys -PMAP 8521 • (12) Instrumental variables II + Regression discontinuity II: (2) Randomized promotion - -Discussion of how to use randomized promotion as an instrument to measure the causal effect of a universal program with self-selection - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/12-content/ - - -https://youtu.be/9xGeCGRvVgE -PMAP 8521 • (12) Instrumental variables II + Regression discontinuity II: (3) Fuzzy regression discontinuity - -Discussion of how to use an above/below threshold variable as an instrument in fuzzy regression discontinuity designs - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/12-content/ -``` diff --git a/content/13-content.qmd b/content/13-content.qmd deleted file mode 100755 index 33935a09..00000000 --- a/content/13-content.qmd +++ /dev/null @@ -1,94 +0,0 @@ ---- -title: "Choosing and planning ethical evaluations" -date: "2023-04-13" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sEkOTbIIpoXYu8czSTl1yIh" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "rMUkZ4PSInY", "Introduction", "1", TRUE, - "n2Sbyx0hz6I", "Types of evaluations", "types-evaluations", FALSE, - "bXYPjwSl-Wg", "Model- and design-based inference", "model-design-inference", FALSE, - "XdWbgeeCwZ8", "Ethics and open science", "ethics-open-science", FALSE -) -``` - -## Readings - -- {{< fa arrow-up-right-from-square >}} ["Generating random numbers"](/example/random-numbers.qmd) -- {{< fa arrow-up-right-from-square >}} ["The ultimate guide to generating synthetic data for causal inference"](/example/synthetic-data.qmd) -- {{< fa file-pdf >}} Paul Hünermund and Beyers Louw, ["On the Nuisance of Control Variables in Regression Analysis"](https://arxiv.org/abs/2005.10314) [@HunermundLouw:2020] (**click on the PDF link in the right sidebar**) -- {{< fa file-pdf >}} ["Types of Evaluation,"](https://www.cdc.gov/std/Program/pupestd/Types%20of%20Evaluation.pdf) National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control (CDC) -- {{< fa book >}} Chapters 11–13 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa book >}} Chapter 15 in *The Effect* [@Huntington-Klein:2021] (skim this) - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/13-slides") -slide_tabs(slide_details, "/slides/13-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - -::: {.content-hidden} -## In-class stuff - -Here are all the materials we'll use in class: - -- [**Week 13 FAQ slides**](/slides/13-class.html) ([PDF](/slides/13-class.pdf)) -- [{{< fa brands r-project >}} Live R script](https://www.dropbox.com/s/f1a04qzvmhelwcs/synthetic-data-f22.R) -::: - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sEkOTbIIpoXYu8czSTl1yIh - -https://youtu.be/rMUkZ4PSInY -PMAP 8521 • (13) Choosing and planning ethical evaluations: (0) Introduction - -Introduction to the class session on types of evaluations, types of causal inference, and ethical evaluations - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/13-content/ - - -https://youtu.be/n2Sbyx0hz6I -PMAP 8521 • (13) Choosing and planning ethical evaluations: (1) Types of evaluations - -Brief overview of other types of evaluations, including needs assessment, monitoring, and cost-benefit analysis - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/13-content/ - - -https://youtu.be/bXYPjwSl-Wg -PMAP 8521 • (13) Choosing and planning ethical evaluations: (2) Model- and design-based inference - -Discussion of the difference between model- and design-based causal inference and how to know when to use different approaches - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/13-content/ - - -https://youtu.be/XdWbgeeCwZ8 -PMAP 8521 • (13) Choosing and planning ethical evaluations: (3) Ethics and open science - -Discussion of how to use best practices of open science and ethical research to undertake good, ethical evaluations - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/13-content/ -``` diff --git a/content/14-content.qmd b/content/14-content.qmd deleted file mode 100755 index ef67d305..00000000 --- a/content/14-content.qmd +++ /dev/null @@ -1,245 +0,0 @@ ---- -title: "Ethics, stories, and curiosity" -date: "2023-04-20" ---- - -```{r slides-videos, echo=FALSE, include=FALSE} -source(here::here("R", "slide-things.R")) -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sEKfedoOEFJvvNNHtDiYS-Q" - -slide_details <- tibble::tribble( - ~youtube_id, ~title, ~slide, ~active, - "djmK0RIldu0", "Introduction", "1", TRUE, - "ini449ZegKI", "What did we just learn?", "overview", FALSE, - "NjwiGW_bpOg", "Ethics of data analyitcs (a)", "ethics-analysis", FALSE, - "VeX7WWZOyAc", "Ethics of data analytics (b)", "analysis-bias", FALSE, - "lr0rgzRondo", "Ethics of data analytics (c)", "analysis-evil", FALSE, - "RJpl7V76NeA", "Ethics of storytelling (a)", "telling-stories", FALSE, - "dXPj0XGCpag", "Ethics of storytelling (b)", "stories-manipulation", FALSE, - "O_yridxo4A8", "Ethics of storytelling (c)", "stories-misrepresentation", FALSE, - "k-59BLi8dMc", "Ethics of storytelling (d)", "stories-equity", FALSE, - "gqhoIe5vwoU", "Curiosity", "curiosity", FALSE -) -``` - -## Readings - -This looks like a lot, but most of these are quite short! - -### Causal inference and data science - -- {{< fa file-pdf >}} Miguel A. Hernán, ["The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data"](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5888052/) [@Hernan:2018] -- {{< fa arrow-up-right-from-square >}} Hannah Fresques and Meg Marco, ["'Your Default Position Should Be Skepticism' and Other Advice for Data Journalists From Hadley Wickham,"](https://www.propublica.org/nerds/hadley-wickham-your-default-position-should-be-skepticism-and-other-advice-for-data-journalists) *ProPublica*, June 10, 2019 - -### Storytelling - -- {{< fa book >}} Chapter 14 in *Impact Evaluation in Practice* [@wb-eval] -- {{< fa file-pdf >}} Martin Krzywinski and Alberto Cairo, ["Storytelling"](https://www.nature.com/articles/nmeth.2571.pdf) -- {{< fa brands youtube >}} Ben Wellington, ["Making data mean more through storytelling"](https://www.youtube.com/watch?v=6xsvGYIxJok) -- {{< fa brands youtube >}} Will Schoder, ["Every Story is the Same"](https://www.youtube.com/watch?v=LuD2Aa0zFiA) - -### Ethics - -Keep in mind throughout all these readings that an "algorithm" in these contexts is typically some fancy type of regression model where the outcome variable is something binary like "Safe babysitter/unsafe babysitter," "Gave up seat in past/didn't give up seat in past", or "Violated probation in past/didn't violate probation in past", and the explanatory variables are hundreds of pieces of data that might predict those outcomes (social media history, flight history, race, etc.). - -Data scientists build a (sometimes proprietary and complex) model based on existing data, plug in values for any given new person, multiply that person's values by the coefficients in the model, and get a final score in the end for how likely someone is to be a safe babysitter or how likely someone is to return to jail. - -- {{< fa arrow-up-right-from-square >}} DJ Patil, ["A Code of Ethics for Data Science"](https://medium.com/@dpatil/a-code-of-ethics-for-data-science-cda27d1fac1) (if your're interested in this, also check out Mike Loukides, Hilary Mason, and DJ Patil, [*Ethics and Data Science*](https://www.amazon.com/dp/B07GTC8ZN7) -- {{< fa arrow-up-right-from-square >}} ["AI in 2018: A Year in Review"](https://medium.com/@AINowInstitute/ai-in-2018-a-year-in-review-8b161ead2b4e) -- {{< fa arrow-up-right-from-square >}} ["How Big Data Is ‘Automating Inequality’"](https://www.nytimes.com/2018/05/04/books/review/automating-inequality-virginia-eubanks.html) -- {{< fa arrow-up-right-from-square >}} ["In ‘Algorithms of Oppression,’ Safiya Noble finds old stereotypes persist in new media"](https://annenberg.usc.edu/news/diversity-and-inclusion/algorithms-oppression-safiya-noble-finds-old-stereotypes-persist-new) -- {{< fa podcast >}} [99% Invisible, "The Age of the Algorithm"](https://99percentinvisible.org/episode/the-age-of-the-algorithm/): Note that this is a podcast, or a 20ish minute audio story. **Listen to this.** -- {{< fa podcast >}} [On the Media, "Biased Algorithms, Biased World"](https://www.wnycstudios.org/podcasts/otm/segments/biased-algorithms-biased-world) -- {{< fa arrow-up-right-from-square >}} ["Wanted: The ‘perfect babysitter.’ Must pass AI scan for respect and attitude."](https://www.washingtonpost.com/technology/2018/11/16/wanted-perfect-babysitter-must-pass-ai-scan-respect-attitude/?utm_term=.080010494ed5) -- {{< fa arrow-up-right-from-square >}} ["Companies are on the hook if their hiring algorithms are biased"](https://qz.com/1427621/companies-are-on-the-hook-if-their-hiring-algorithms-are-biased/) -- {{< fa arrow-up-right-from-square >}} ["Courts use algorithms to help determine sentencing, but random people get the same results"](https://www.popsci.com/recidivism-algorithm-random-bias) -- {{< fa brands twitter >}} [David Heinemeier Hansson's rant on the Apple Card](https://twitter.com/dhh/status/1192540900393705474) - - And [Jamie Heinemeier Hansson's response](https://dhh.dk/2019/about-the-apple-card.html) - - -## Slides - -The slides for today's lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys. - -```{r show-slide-tabs, echo=FALSE, results="asis"} -slide_buttons("/slides/14-slides") -slide_tabs(slide_details, "/slides/14-slides.html") -``` - -:::{.callout-tip} -**Fun fact**: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands. -::: - - -## Videos - -```{r show-youtube-list, echo=FALSE, results="asis"} -youtube_list(slide_details, playlist_id) -``` - - -## Synthetic data code from class - -```r -library(tidyverse) -library(broom) - -n_people <- 5003 - -fake_data <- tibble(id = 1:n_people) %>% - # Make exogenous stuff - mutate(time_of_day = sample(c("Morning", "Evening"), n_people, replace = TRUE)) %>% - # Make endogenous things - mutate(prob_atlanta = 50 + ifelse(time_of_day == "Morning", 13, 0), - prob_charlotte = 15 + ifelse(time_of_day == "Morning", 36, 0), - prob_philly = 20 + ifelse(time_of_day == "Evening", 60, 10), - prob_la = 15 + ifelse(time_of_day != "Morning", -5, 20)) %>% - rowwise() %>% - mutate(city = sample(c("Atlanta", "Charlotte", "Philadelphia", "Los Angeles"), - 1, replace = TRUE, - prob = c(prob_atlanta, prob_charlotte, prob_philly, prob_la))) %>% - ungroup() %>% - mutate(liking_blue_baseline = rnorm(n_people, mean = 0.5, sd = 0.05), - liking_blue_morning_boost = ifelse(time_of_day == "Morning", 0.2, 0), - prob_liking_blue = liking_blue_baseline + liking_blue_morning_boost) %>% - rowwise() %>% - mutate(like_blue = sample(c(TRUE, FALSE), 1, replace = TRUE, - prob = c(prob_liking_blue, 1 - prob_liking_blue))) %>% - ungroup() %>% - mutate(cookies_baseline = rnorm(n_people, 3, 1), - cookie_time_effect = ifelse(time_of_day == "Morning", 2, 0), - cookie_blue_effect = ifelse(like_blue == TRUE, rnorm(n_people, 3, 0.5), 0), - cookie_city_effect = case_when( - city == "Atlanta" ~ 5, - city == "Philadelphia" ~ 1, - city == "Los Angeles" ~ -3, - city == "Charlotte" ~ 0 - ), - cookies = cookies_baseline + cookie_time_effect + - cookie_blue_effect + cookie_city_effect) %>% - mutate(happiness_baseline = rnorm(n_people, mean = 47, sd = 9), - happiness_time_effect = case_when( - time_of_day == "Morning" ~ rnorm(n_people, 0, 1), - time_of_day == "Evening" ~ rnorm(n_people, 8, 1) - ), - happiness_blue_effect = ifelse(like_blue == TRUE, 4, 0), - happiness_cookie_effect = cookies * 1.3, - happiness_city_effect = case_when( - city == "Atlanta" ~ 10, - city == "Philadelphia" ~ 30, - city == "Los Angeles" ~ -10, - city == "Charlotte" ~ 5 - ), - happiness = happiness_baseline + happiness_time_effect + happiness_blue_effect + - happiness_cookie_effect + happiness_city_effect) - -real_data <- fake_data %>% - select(id, city, time_of_day, like_blue, cookies, happiness) %>% - mutate(cookies_rounded = round(cookies, 0), - happiness = round(happiness, 0)) - -ggplot(fake_data, aes(x = like_blue)) + - geom_bar() - -real_data %>% - group_by(city) %>% - summarize(avg_cookies = mean(cookies), - avg_happiness = mean(happiness)) - -ggplot(fake_data, aes(x = happiness_baseline)) + - geom_density() - -ggplot(real_data, aes(x = cookies, y = happiness)) + - geom_point() + - geom_smooth(method = "lm") - -model_thing <- lm(happiness ~ cookies + time_of_day + like_blue, data = real_data) -tidy(model_thing) -``` - - - -```{verbatim include=FALSE} -Playlist: https://www.youtube.com/playlist?list=PLS6tnpTr39sEKfedoOEFJvvNNHtDiYS-Q - -https://youtu.be/djmK0RIldu0 -PMAP 8521 • (14) Ethics, stories, and curiosity: (0) Introduction - -Introduction to the final class session on ethics, storytelling, and curiosity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/ini449ZegKI -PMAP 8521 • (14) Ethics, stories, and curiosity: (1) What did we just learn? - -Brief overview of what we covered this semester - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/NjwiGW_bpOg -PMAP 8521 • (14) Ethics, stories, and curiosity: (2a) Ethics of data analysis - -Discussion of why ethics matter in data analysis, focusing on manipulation - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/VeX7WWZOyAc -PMAP 8521 • (14) Ethics, stories, and curiosity: (2b) Ethics of data analysis - -Discussion of why ethics matter in data analysis, focusing on bias - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/lr0rgzRondo -PMAP 8521 • (14) Ethics, stories, and curiosity: (2c) Ethics of data analysis - -Discussion of why ethics matter in data analysis, focusing on accidental evil - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/RJpl7V76NeA -PMAP 8521 • (14) Ethics, stories, and curiosity: (3a) Ethics of storytelling - -Discussion of the importance of storytelling in data analysis - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/dXPj0XGCpag -PMAP 8521 • (14) Ethics, stories, and curiosity: (3b) Ethics of storytelling - -Discussion of the potential pitfalls of storytelling with data: manipulation - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/O_yridxo4A8 -PMAP 8521 • (14) Ethics, stories, and curiosity: (3c) Ethics of storytelling - -Discussion of the potential pitfalls of storytelling with data: misinterpretation - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/k-59BLi8dMc -PMAP 8521 • (14) Ethics, stories, and curiosity: (3d) Ethics of storytelling - -Discussion of the potential pitfalls of storytelling with data: equity - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ - - -https://youtu.be/gqhoIe5vwoU -PMAP 8521 • (14) Ethics, stories, and curiosity: (4) Curiosity - -Discussion of the importance of curiosity in continuing to learn R and causal inference - -Access the slides and other materials at the course website at https://evalf20.classes.andrewheiss.com/content/14-content/ -``` diff --git a/content/_metadata.yml b/content/_metadata.yml index fc07d971..1ae2dfa3 100644 --- a/content/_metadata.yml +++ b/content/_metadata.yml @@ -1,5 +1,5 @@ date-heading: - content: "Content for" + content: "Sesión del" class: "bg-content" date-format: "full" diff --git a/content/foro-clases.qmd b/content/foro-clases.qmd new file mode 100644 index 00000000..f413d404 --- /dev/null +++ b/content/foro-clases.qmd @@ -0,0 +1,27 @@ +--- +title: "Foro clases" +website: + comments: + giscus: + repo: cursos-metodos-facso/correlacional +--- + +Foro para compartir dudas, aclaraciones, sugerencias sobre los contenidos del curso vistos en clases. +Para poder participar en el foro hay que abir una cuenta en [Github](https://github.com/) + + + diff --git a/content/index.qmd b/content/index.qmd index c6a75c9c..7b74d60d 100644 --- a/content/index.qmd +++ b/content/index.qmd @@ -1,11 +1,9 @@ --- -title: "Readings, lectures, and videos" +title: "Clases" --- -Each class session has a set of required readings that you should complete ***before*** watching the lecture. +En esta sección se encuentran disponibles los documentos de presentación que sirven de base a cada clase, en el menú de la izquierda _Presentaciones_. Los documentos son en formato html (no son ppt), producidos con [Xaringan](https://github.com/yihui/xaringan). Para verlos en pantalla completa presionar _F_ sobre el documento, y para una vista general de todas las slides presionar _O_. -Every class session also has a YouTube playlist of short recorded videos for each of the lecture sections. The lecture slides are special HTML files made with the R package [**xaringan**](https://bookdown.org/yihui/rmarkdown/xaringan.html) (R can do so much!). On each class session page you'll see buttons for opening the presentation in a new tab or for downloading a PDF of the slides in case you want to print them or store them on your computer: +También a la izquierda hay un link al Foro para hacer preguntas relacionadas con las clases. -

{{< fa arrow-up-right-from-square >}} View all slides in new window {{< fa file-pdf >}} Download PDF of all slides

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+ + + + + + \ No newline at end of file diff --git a/docs/_freeze/files/reporte_notas/reporte_notas/execute-results/html.json b/docs/_freeze/files/reporte_notas/reporte_notas/execute-results/html.json new file mode 100644 index 00000000..2b814cbd --- /dev/null +++ b/docs/_freeze/files/reporte_notas/reporte_notas/execute-results/html.json @@ -0,0 +1,16 @@ +{ + "hash": "4e0c7f6531e4142f63068de22642111a", + "result": { + "markdown": "---\ntitle: \"Reporte Notas - Estadística Correlacional 2023 \"\ndate: \"2023-10-25\"\nlang: es\nwebsite:\n comments:\n giscus:\n repo: cursos-metodos-facso/correlacional\n---\n\n\n\n\n# Prueba 1\n\n## Librerías & datos \n\n\n::: {.cell}\n\n```{.r .cell-code}\npacman::p_load(googlesheets4, dplyr, sjmisc,sjPlot, kableExtra, sjlabelled )\n```\n:::\n\n::: {.cell}\n::: {.cell-output .cell-output-stdout}\n```\n [1] \"N\" \"Persona\" \"p1-a\" \"p1-b\" \"p2\" \n [6] \"p3\" \"p4\" \"p5\" \"pje\" \"Nota 60%\" \n[11] \"corrector/a\" \"decimas\" \"nota_final\" \"Recorrección\" \"...15\" \n[16] \"...16\" \n```\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nload(\"prueba1.Rdata\")\n```\n:::\n\n\n\n## Etiquetados\n\n::: {.cell}\n\n```{.r .cell-code}\n# Label variables\n\nprueba1$p1a <- set_label(x = prueba1$p1a, \n label = \"Cálculo Pearson\")\nprueba1$p1b <- set_label(x = prueba1$p1b, \n label = \"Interpretación Pearson\")\nprueba1$p2 <- set_label(x = prueba1$p2, \n label = \"Limitación Pearson\")\nprueba1$p3 <- set_label(x = prueba1$p3, \n label = \"Coeficiente determinación\")\nprueba1$p4 <- set_label(x = prueba1$p4, \n label = \"Spearman\")\nprueba1$p5 <- set_label(x = prueba1$p5, \n label = \"Perdidos matrices\")\n```\n:::\n\n\n\n## Tabla descriptiva\n\n\n::: {.cell}\n\n```{.r .cell-code}\nprueba1 %>% descr(., show = c(\"label\",\"range\", \"mean\", \"sd\", \"n\"))%>% kable(.,\"markdown\", digits=2)\n```\n\n::: {.cell-output-display}\n| |var |label | n| mean| sd|range |\n|:--|:----------|:-------------------------|--:|----:|----:|:-------|\n|2 |p1a |Cálculo Pearson | 79| 1.78| 1.29|3 (0-3) |\n|3 |p1b |Interpretación Pearson | 79| 1.66| 0.78|3 (0-3) |\n|4 |p2 |Limitación Pearson | 79| 1.53| 0.69|2 (0-2) |\n|5 |p3 |Coeficiente determinación | 79| 1.50| 0.64|2 (0-2) |\n|6 |p4 |Spearman | 79| 1.39| 0.81|2 (0-2) |\n|7 |p5 |Perdidos matrices | 79| 0.99| 0.89|2 (0-2) |\n|1 |nota_final |nota_final | 79| 4.54| 1.40|6 (1-7) |\n:::\n:::\n\n\n## Gráficos descriptivos\n\n\n::: {.cell}\n\n```{.r .cell-code}\nhist(prueba1$nota_final)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-6-1.png){width=672}\n:::\n\n```{.r .cell-code}\nplot_frq(data = prueba1$nota_final,type = \"hist\",show.mean = T)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-6-2.png){width=672}\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nprueba1 <- prueba1 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c(\"Menor a 4.0\",\"4.0-5.0\",\"5.0-6.0\",\"6.0-7.0\")))\n\nfrq(prueba1$notas_cat)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nx \n# total N=88 valid N=79 mean=2.23 sd=1.13\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------------\nMenor a 4.0 | 30 | 34.09 | 37.97 | 37.97\n4.0-5.0 | 14 | 15.91 | 17.72 | 55.70\n5.0-6.0 | 22 | 25.00 | 27.85 | 83.54\n6.0-7.0 | 13 | 14.77 | 16.46 | 100.00\n | 9 | 10.23 | | \n```\n:::\n\n```{.r .cell-code}\nprueba1 <- prueba1 %>% dplyr::select(-notas_cat)\n```\n:::\n\n\n## Preguntas y asociaciones\n\n\n::: {.cell}\n\n```{.r .cell-code}\ntab_corr(prueba1,\n triangle = \"lower\")\n```\n\n::: {.cell-output-display}\n`````{=html}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n
 Cálculo PearsonInterpretación PearsonLimitación PearsonCoeficiente determinaciónSpearmanPerdidos matricesnota_final
Cálculo Pearson       
Interpretación Pearson0.405***      
Limitación Pearson0.2110.153     
Coeficiente determinación0.271*0.407***0.267*    
Spearman0.229*0.2030.375***0.197   
Perdidos matrices0.0630.1270.435***0.0950.277*  
nota_final0.696***0.627***0.619***0.524***0.583***0.539*** 
Computed correlation used pearson-method with listwise-deletion.
\n`````\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nplot_scatter(prueba1, p1a, p1b)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-9-1.png){width=672}\n:::\n:::\n\n\n\n**Consistencia interna**\n\n\n::: {.cell}\n\n```{.r .cell-code}\npacman::p_load(ltm)\n\npreguntas <- prueba1 %>% dplyr::select(-nota_final)\ncronbach.alpha(na.omit(preguntas))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n\nCronbach's alpha for the 'na.omit(preguntas)' data-set\n\nItems: 6\nSample units: 79\nalpha: 0.634\n```\n:::\n:::\n\n\n# Prueba 2\n\n## Datos \n\n\n::: {.cell}\n\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nload(\"prueba2.Rdata\")\n```\n:::\n\n\n\n## Adecuación preguntas\n\nLa prueba tiene dos formas: A y B, la única diferencia es en el orden de las preguntas, la forma A parte por la pregunta sobre identificación con la izquierda, mientras que en la forma B la primera pregunta es la de CASEN. Para poder realizar un correcto análisis de las preguntas vamos a adaptar la forma B a la A.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nfrq(prueba2$forma)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nx \n# total N=87 valid N=72 mean=1.50 sd=0.50\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------\nA | 36 | 41.38 | 50 | 50\nB | 36 | 41.38 | 50 | 100\n | 15 | 17.24 | | \n```\n:::\n\n```{.r .cell-code}\nA <- subset(prueba2, subset = prueba2$forma==\"A\")\nB <- subset(prueba2, subset = prueba2$forma==\"B\")\ndim(A)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n[1] 36 8\n```\n:::\n\n```{.r .cell-code}\ndim(B)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n[1] 36 8\n```\n:::\n\n```{.r .cell-code}\ndescr(B, show = \"mean\")\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n\n## Basic descriptive statistics\n\n var mean\n p1a 1.33\n p1b 1.36\n p1c 1.31\n p2a 1.39\n p2b 1.28\n p2c 1.32\n nota_final 4.58\n```\n:::\n\n```{.r .cell-code}\nB <- B %>% rename(\"p1a\"=\"p2a\", \n \"p1b\"=\"p2b\",\n \"p1c\"=\"p2c\",\n \"p2a\"=\"p1a\",\n \"p2b\"=\"p1b\",\n \"p2c\"=\"p1c\")\n\ndescr(B, show = \"mean\")\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n\n## Basic descriptive statistics\n\n var mean\n p2a 1.33\n p2b 1.36\n p2c 1.31\n p1a 1.39\n p1b 1.28\n p1c 1.32\n nota_final 4.58\n```\n:::\n\n```{.r .cell-code}\nprueba2 <- rbind(A,B)\n```\n:::\n\n\n\n\n## Etiquetados\n\n::: {.cell}\n\n```{.r .cell-code}\n# Label variables\n\nprueba2$p1a <- set_label(x = prueba2$p1a, \n label = \"H1 promedio direccional\")\nprueba2$p1b <- set_label(x = prueba2$p1b, \n label = \"Prueba promedios\")\nprueba2$p1c <- set_label(x = prueba2$p1c, \n label = \"Rechazo H0\")\nprueba2$p2a <- set_label(x = prueba2$p2a, \n label = \"H1 proporcion no direccional\")\nprueba2$p2b <- set_label(x = prueba2$p2b, \n label = \"Error tipo 1\")\nprueba2$p2c <- set_label(x = prueba2$p2c, \n label = \"Intervalo confianza\")\n```\n:::\n\n\n\n## Tabla descriptiva\n\n\n::: {.cell}\n\n```{.r .cell-code}\nprueba2 %>% descr(., show = c(\"label\",\"range\", \"mean\", \"sd\", \"n\"))%>% kable(.,\"markdown\", digits=2)\n```\n\n::: {.cell-output-display}\n| |var |label | n| mean| sd|range |\n|:--|:----------|:----------------------------|--:|----:|----:|:-----------|\n|2 |p1a |H1 promedio direccional | 72| 1.36| 0.63|2 (0-2) |\n|3 |p1b |Prueba promedios | 72| 1.24| 0.86|2 (0-2) |\n|4 |p1c |Rechazo H0 | 72| 1.27| 0.70|2 (0-2) |\n|5 |p2a |H1 proporcion no direccional | 72| 1.26| 0.68|2 (0-2) |\n|6 |p2b |Error tipo 1 | 72| 1.27| 0.79|2 (0-2) |\n|7 |p2c |Intervalo confianza | 72| 1.14| 0.72|2 (0-2) |\n|1 |nota_final |nota_final | 72| 4.37| 1.23|5.6 (1.4-7) |\n:::\n:::\n\n\n## Gráficos descriptivos\n\n\n::: {.cell}\n\n```{.r .cell-code}\nhist(prueba2$nota_final)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-16-1.png){width=672}\n:::\n\n```{.r .cell-code}\nplot_frq(data = prueba2$nota_final,type = \"hist\",show.mean = T)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-16-2.png){width=672}\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nprueba2 <- prueba2 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c(\"Menor a 4.0\",\"4.0-5.0\",\"5.0-6.0\",\"6.0-7.0\")))\n\nfrq(prueba2$notas_cat)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nx \n# total N=72 valid N=72 mean=2.06 sd=1.02\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------------\nMenor a 4.0 | 28 | 38.89 | 38.89 | 38.89\n4.0-5.0 | 19 | 26.39 | 26.39 | 65.28\n5.0-6.0 | 18 | 25.00 | 25.00 | 90.28\n6.0-7.0 | 7 | 9.72 | 9.72 | 100.00\n | 0 | 0.00 | | \n```\n:::\n\n```{.r .cell-code}\nprueba2 <- prueba2 %>% dplyr::select(-notas_cat)\n```\n:::\n\n\n## Preguntas y asociaciones\n\n\n::: {.cell}\n\n```{.r .cell-code}\nprueba2 <- prueba2 %>% dplyr::select(-forma)\ntab_corr(prueba2,\n triangle = \"lower\")\n```\n\n::: {.cell-output-display}\n`````{=html}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n
 H1 promedio direccionalPrueba promediosRechazo H0H1 proporcion no direccionalError tipo 1Intervalo confianzanota_final
H1 promedio direccional       
Prueba promedios0.295*      
Rechazo H00.397***0.488***     
H1 proporcion no direccional0.1080.094-0.060    
Error tipo 1-0.2040.0390.031-0.039   
Intervalo confianza0.0470.2060.308**0.1690.351**  
nota_final0.469***0.677***0.650***0.370**0.404***0.631*** 
Computed correlation used pearson-method with listwise-deletion.
\n`````\n:::\n:::\n\n\n\n**Consistencia interna**\n\n\n::: {.cell}\n\n```{.r .cell-code}\npacman::p_load(ltm)\n\npreguntas <- prueba2 %>% dplyr::select(-nota_final)\ncronbach.alpha(na.omit(preguntas))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n\nCronbach's alpha for the 'na.omit(preguntas)' data-set\n\nItems: 6\nSample units: 72\nalpha: 0.513\n```\n:::\n:::\n\n\n\n# Pruebas 1 & 2\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# rescatar ID secuencial\n\nprueba1 <- read_sheet('https://docs.google.com/spreadsheets/d/1ahL6yZpDRUmFFnilWHqMKchNqzVzAo7YZiA401crxGA/edit?usp=sharing', sheet = \"Prueba 1 2023-10-10\")\n\nprueba2 <- read_sheet('https://docs.google.com/spreadsheets/d/1lnZ7ojc3jxAMTFwC5Y_Wble08YaONTNTaPdz7KnDOXI/edit#gid=1600039458', sheet =\"Prueba 2 2023-11-19\")\n\nprueba1 <- prueba1 %>% dplyr::select(RUT,Nota) %>% rename(\"Nota_p1\"=\"Nota\") \nprueba2 <- prueba2 %>% dplyr::select(RUT,Nota) %>% rename(\"Nota_p2\"=\"Nota\") \n\npruebas <- merge(prueba1, prueba2, by = 'RUT')\n\nplot_scatter(pruebas, Nota_p1, Nota_p2)\n```\n\n::: {.cell-output-display}\n![](reporte_notas_files/figure-html/unnamed-chunk-20-1.png){width=672}\n:::\n\n```{.r .cell-code}\npruebas_c <-na.omit(pruebas)\ncor(pruebas_c$Nota_p1, pruebas_c$Nota_p2)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n[1] 0.2952938\n```\n:::\n:::\n", + "supporting": [ + "reporte_notas_files" + ], + "filters": [ + "rmarkdown/pagebreak.lua" + ], + "includes": {}, + "engineDependencies": {}, + "preserve": {}, + "postProcess": true + } +} \ No newline at end of file diff --git a/docs/_freeze/files/reporte_notas/reporte_notas/figure-html/unnamed-chunk-10-1.png b/docs/_freeze/files/reporte_notas/reporte_notas/figure-html/unnamed-chunk-10-1.png new file mode 100644 index 00000000..ba8f022d Binary files /dev/null and b/docs/_freeze/files/reporte_notas/reporte_notas/figure-html/unnamed-chunk-10-1.png differ diff --git a/docs/_freeze/files/reporte_notas/reporte_notas/figure-html/unnamed-chunk-16-1.png 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files /dev/null and b/docs/_freeze/files/reporte_notas/reporte_notas/figure-html/unnamed-chunk-9-1.png differ diff --git a/docs/_site/files/10-causal-inference.pdf b/docs/_site/files/10-causal-inference.pdf new file mode 100644 index 00000000..a5a967af Binary files /dev/null and b/docs/_site/files/10-causal-inference.pdf differ diff --git a/docs/_site/files/404.gif b/docs/_site/files/404.gif new file mode 100755 index 00000000..f2e87330 Binary files /dev/null and b/docs/_site/files/404.gif differ diff --git a/docs/_site/files/bib/chicago-author-date.csl b/docs/_site/files/bib/chicago-author-date.csl new file mode 100644 index 00000000..2ed7e6d0 --- /dev/null +++ b/docs/_site/files/bib/chicago-author-date.csl @@ -0,0 +1,682 @@ + + diff --git a/docs/_site/files/bib/chicago-fullnote-bibliography.csl b/docs/_site/files/bib/chicago-fullnote-bibliography.csl new file mode 100644 index 00000000..0471fa67 --- /dev/null +++ b/docs/_site/files/bib/chicago-fullnote-bibliography.csl @@ -0,0 +1,1451 @@ + + diff --git a/docs/_site/files/bib/chicago-note-bibliography.csl b/docs/_site/files/bib/chicago-note-bibliography.csl new file mode 100644 index 00000000..882f61db --- /dev/null +++ b/docs/_site/files/bib/chicago-note-bibliography.csl @@ -0,0 +1,1417 @@ + + diff --git a/docs/_site/files/bib/references.bib b/docs/_site/files/bib/references.bib new file mode 100755 index 00000000..ed54310d --- /dev/null +++ b/docs/_site/files/bib/references.bib @@ -0,0 +1,298 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Andrew Heiss at 2021-10-07 11:46:51 -0400 + + +%% Saved with string encoding Unicode (UTF-8) + + + +@article{LinPsatyKronmal:1998, + author = {D. Y. Lin and B. M. Psaty and R. A. Kronmal}, + date-added = {2021-10-07 11:44:08 -0400}, + date-modified = {2021-10-07 11:46:48 -0400}, + doi = {10.2307/2533848}, + journal = {Biometrics}, + month = {9}, + number = {3}, + pages = {948--963}, + title = {Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies}, + volume = {54}, + year = {1998}} + +@book{MurnaneWillett:2011, + address = {Oxford}, + author = {Richard J. Murnane and John B. Willett}, + date-added = {2021-10-07 11:42:31 -0400}, + date-modified = {2021-10-07 11:42:50 -0400}, + publisher = {Oxford University Press}, + title = {Methods Matter: Improving Causal Inference in Educational and Social Science Research}, + year = {2011}} + +@article{AltonjiElderTaber:2005, + author = {Joseph G. Altonji and Todd E. Elder and Christopher R. Taber}, + date-added = {2021-10-07 11:40:31 -0400}, + date-modified = {2021-10-07 11:42:01 -0400}, + doi = {10.1086/426036}, + journal = {Journal of Political Economy}, + month = {2}, + number = {1}, + pages = {151--184}, + title = {Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools}, + volume = {113}, + year = {2005}} + +@article{CinelliHazlett:2020, + author = {Carlos Cinelli and Chad Hazlett}, + date-added = {2021-10-07 11:37:51 -0400}, + date-modified = {2021-10-07 11:38:05 -0400}, + doi = {10.1111/rssb.12348}, + journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}, + month = {2}, + number = {1}, + pages = {39--67}, + rating = {0}, + read = {0}, + title = {Making Sense of Sensitivity: Extending Omitted Variable Bias}, + volume = {82}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1111/rssb.12348}} + +@article{KeeleStevensonElwert:2020, + author = {Luke Keele and Randolph T. Stevenson and Felix Elwert}, + date-added = {2021-09-14 20:32:41 -0400}, + date-modified = {2021-09-14 20:32:48 -0400}, + doi = {10.1017/psrm.2019.31}, + journal = {Political Science Research and Methods}, + month = {1}, + number = {1}, + pages = {1--13}, + rating = {0}, + read = {0}, + title = {The Causal Interpretation of Estimated Associations in Regression Models}, + volume = {8}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1017/psrm.2019.31}} + +@article{Imbens:2021, + author = {Guido W. 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Carson,921.046456958068,-57.25781298592477,0.11137200205055237,211.182525171421,0.025535976441526116,5,0.619425173,8.83333333333333,1.07789302420175,8,0.991080278,218,23596,643.1,789,526,3525,3613,0.22382978723404257,0.1455853861057293,2368,-0.5319148936170213,-0.6554110157763631 +8065,CO,Lake,1455.80636836994,-71.52538685060206,0.19915271797126402,450.640916574485,0.06164718420991587,2,0.271849939,6.25,0.820425308479916,5,0.679624847,127,22150,693.2,1807,1600,2993,3175,0.6037420648179085,0.5039370078740157,336,0.2405613097226863,0.10582677165354332 +8067,CO,La Plata,7347.21871312946,-3.461050859326712,0.14312577849241168,1486.85702980879,0.02896437117327288,11,0.203745207,25.5,0.458443449652122,46,0.852025413,981,161815,582.6,15063,15300,28475,30722,0.5289903424056189,0.4980144521841026,2829,0.08811237928007021,0.09208384870776642 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Grande,1460.30068818733,109.76971292838162,0.12187453581933985,280.402362647086,0.02340196650367936,4,0.344619626,13.1666666666667,1.14702209832448,5,0.430774533,370,34905,770.3,2428,1985,5453,5488,0.44525949018888683,0.36169825072886297,1075,-0.08509077571978735,-0.19588192419825068 +8107,CO,Routt,5254.12612604418,-13.267505439248644,0.2234942416114756,1007.26221849621,0.04284581302889148,9,0.377121307,13,0.527426160337553,25,1.047559187,310,71536,521.9,7389,7487,13038,13772,0.5667280257708237,0.5436392680801626,2338,0.155545329038196,0.16976474005227993 +8109,CO,Saguache,1235.46073133838,-79.28235563245582,0.20226927494079563,240.103130312887,0.039309615309902915,4,0.645577792,6.5,1.01737361089372,1,0.161394448,150,18679,678,1762,1345,2796,2707,0.6301859799713877,0.49685999261174735,236,0.29506437768240346,0.08718138160325084 +8111,CO,San Juan,693.70724348045,0,0.9924281022610156,127.418047013332,0.18228619029088985,1,1.388888889,1,1.44092219020173,4,5.555555556,11,2119,554.5,266,265,506,506,0.525691699604743,0.5237154150197628,50,0.10671936758893275,0.09881422924901184 +8113,CO,San Miguel,718.693398459581,3.656015529575994,0.09766182884353594,133.959529025242,0.01820349626650931,7,0.892857143,5,0.623674691281028,12,1.530612245,77,23315,415.2,2961,2960,4215,4311,0.702491103202847,0.6866156344235677,1930,0.4310794780545671,0.4476919508234749 +8115,CO,Sedgwick,441.699892597613,-1.5494545274626896,0.18566620117596172,76.0026950140506,0.03194732871544792,1,0.425894378,1,0.415454923140839,1,0.425894378,118,7079,901.8,419,267,1337,1364,0.31338818249813016,0.19574780058651026,748,-0.3455497382198953,-0.5483870967741935 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York,2,0,1.2611350341420783e-06,0,0,1342,0.820159045,1325.91666666667,0.806649169918409,2553,1.560257855,30098,4912859,529.6,417861,515481,496293,591368,0.8419643234943874,0.8716755049309398,456546,0.6962842514401775,0.7720167476089339 +36063,NY,Niagara,37906.4053229453,-21.48038984530664,0.17511239633825304,7823.95477418199,0.03614353452079508,32,0.149865355,176.5,0.833498616345073,134,0.627561176,7100,640315,808.9,40862,32888,82720,86e3,0.4939796905222437,0.3824186046511628,16335,0.005621373307543531,-0.18994186046511624 +36065,NY,Oneida,38017.7392512735,-17.471593887045874,0.16186164413556614,7598.37467786852,0.03235030389337665,65,0.279124494,239.583333333333,1.03630491514916,162,0.695664123,7530,699532,758.1,37388,30749,80429,83876,0.46485720324758484,0.36660069626591635,17741,-0.05285407004936027,-0.21151461681529876 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+38069,ND,Pierce,840.863715553434,-0.20832322341941162,0.1929914426333335,222.836110186593,0.051144390678584575,1,0.227066303,3,0.703070072650574,3,0.68119891,194,13138,766,656,431,2162,2020,0.303422756706753,0.21336633663366336,1002,-0.37280296022201664,-0.49603960396039604 +38071,ND,Ramsey,1901.89550088048,-24.58616196535293,0.16608990488869793,403.70226488124,0.03525476070921666,3,0.259425804,10,0.866025807569066,11,0.951227949,411,34764,785.3,2162,1505,4971,5218,0.43492255079460873,0.2884246837868915,1711,-0.09997988332327501,-0.32790341126868533 +38073,ND,Ransom,888.716040522846,-1.2128033525710034,0.1628579880012545,232.042411360485,0.04252197386118472,1,0.183621006,4.91666666666667,0.909819886503824,3,0.550863019,239,16375,791.3,1341,836,2412,2317,0.5559701492537313,0.36081139404402246,373,0.13805970149253732,-0.16098403107466547 +38075,ND,Renville,1456.94041918568,-22.663565202868288,0.5898544207229474,316.591651846585,0.12817475783262552,1,0.386548125,1,0.392156862745098,2,0.77309625,87,7764,762.2,398,200,1272,1255,0.3128930817610063,0.1593625498007968,778,-0.35534591194968557,-0.6199203187250997 +38077,ND,Richland,6564.55920425541,-24.663881763845485,0.40221550176186566,1473.11849266247,0.09025908293992219,4,0.243427459,6.41666666666667,0.392384679671416,11,0.669425511,438,49100,664.9,3190,2064,7549,7460,0.4225725261624056,0.2766756032171582,2695,-0.13551463770035765,-0.36126005361930297 +38079,ND,Rolette,1302.22412828734,31.558843302905395,0.09343647329320083,285.53092251027,0.020487258557097654,5,0.342090859,15.5,1.05737089842418,6,0.410509031,394,43976,1056.6,3351,2097,4528,3662,0.7400618374558304,0.5726379027853632,887,0.49933745583038874,0.2422173675587111 +38081,ND,Sargent,838.758261364933,-12.507497605827703,0.21905412937188118,183.356463054689,0.04788625308296918,4,1.017552786,4,1.02827763496144,0,0,115,11673,667.4,1073,693,1987,1978,0.5400100654252642,0.35035389282103135,395,0.09914443885254148,-0.1996966632962588 +38083,ND,Sheridan,1077.57791675955,-0.7022384719135094,0.8157289301737698,178.195448559998,0.13489435924299623,1,0.754147813,1,0.75642965204236,0,0,31,3950,324.7,161,94,808,774,0.19925742574257427,0.12144702842377261,550,-0.5891089108910892,-0.710594315245478 +38085,ND,Sioux,1701.19911762784,0.32774649527505456,0.4096313791543078,604.532269782554,0.14556519859921838,1,0.226142017,4,0.895054822107854,1,0.226142017,143,13291,1376.8,900,758,1138,1177,0.7908611599297012,0.6440101954120646,502,0.5949033391915641,0.4265080713678845 +38087,ND,Slope,692.378853221123,0,0.9523780649534017,135.711460067277,0.18667326006503024,0,0,NA,NA,0,0,12,2294,363.6,83,42,434,427,0.1912442396313364,0.09836065573770492,319,-0.5944700460829493,-0.747072599531616 +38089,ND,Stark,4111.58680830113,-34.952524475932776,0.1699073022976623,1008.51857153766,0.041676043288468946,3,0.098775188,14,0.44873233116446,21,0.691426314,721,91043,659.4,2805,1745,11539,12115,0.2430886558627264,0.1440363186132893,7973,-0.4943235982320825,-0.6581097812628973 +38091,ND,Steele,1733.18060102447,-8.651800227834459,0.8775597979870734,371.468091510573,0.1880851096256066,3,1.534526854,1,0.509683995922528,0,0,60,5869,582.9,515,361,1028,984,0.5009727626459144,0.366869918699187,176,0.019455252918287924,-0.1788617886178862 +38093,ND,Stutsman,6953.20852921441,-0.013040667951560279,0.3295359492518678,1474.00767345703,0.06985818357616257,3,0.14198495,13.5,0.638962514199167,19,0.899238014,712,63401,762.4,3561,2484,9431,9938,0.37758456155232745,0.24994968806600926,4222,-0.22054925246527413,-0.42483397061783057 +38095,ND,Towner,781.604997319918,-63.763528125981495,0.34799866309880584,140.891620291969,0.0627300179394341,0,0,2,0.883782589482987,1,0.432900433,89,6859,636.7,511,305,1164,1137,0.43900343642611683,0.26824978012313105,428,-0.09278350515463918,-0.376429199648197 +38097,ND,Traill,1475.50212235851,-36.37327270834512,0.18168970845444032,357.598146919135,0.04403375777849219,7,0.866122247,5.66666666666667,0.70568700705687,7,0.866122247,295,24273,737.5,1784,1239,3841,3864,0.4644623795886488,0.32065217391304346,1024,-0.046602447279354364,-0.2650103519668737 +38099,ND,Walsh,2050.03849999438,0,0.18437256048155232,383.886131719846,0.034525238935142186,4,0.364630811,10.1666666666667,0.932379554903399,3,0.273473108,469,32948,824.9,2118,1166,5061,4543,0.4184943687018376,0.2566585956416465,1825,-0.13653428176249754,-0.401716927140656 +38101,ND,Ward,20557.4132129089,-17.024452112824893,0.3333184144776474,5382.88236048444,0.08727818987408903,9,0.129712902,28.1666666666667,0.401177420120591,48,0.691802145,1448,208803,689.3,8412,5792,25231,26861,0.3333993896397289,0.21562860652991325,12809,-0.3077166977131307,-0.4768623655113362 +38103,ND,Wells,1592.62620129381,0.21127655416570412,0.3785657716410292,262.690678464939,0.06244133074992608,6,1.43129771,4,0.976085895558809,3,0.715648855,174,12539,641.8,671,419,2359,2352,0.2844425604069521,0.17814625850340135,1374,-0.4133107248834252,-0.5841836734693877 +38105,ND,Williams,4762.93534945924,-0.4202662521530938,0.212650028996305,1145.8302707789,0.05115770474055273,4,0.124494242,17.9166666666667,0.521788935162264,28,0.871459695,697,96984,813.1,2288,1722,9600,12529,0.23833333333333334,0.13744113656317344,8311,-0.4998958333333334,-0.6633410487668608 +39001,OH,Adams,2025.71553314208,116.39640982565538,0.07095325860392575,499.599684869614,0.01749911330541555,4,0.142201998,31.75,1.13770738524385,15,0.533257492,1000,84280,989.5,3857,2293,10787,11063,0.3575600259571707,0.20726746813703337,6152,-0.26272364883656246,-0.5560878604356866 +39003,OH,Allen,19335.2763357741,-11.991764490870525,0.18184044479760464,4639.55637232608,0.04363314905649416,14,0.133282559,94.6666666666667,0.912520162197246,99,0.942498096,3293,314689,820.3,16869,12815,46458,44636,0.36310215678677515,0.2871000985751411,17043,-0.2568556545697189,-0.38182184783582757 +39005,OH,Ashland,1795.13717656564,-7.878431077514278,0.03378191491307025,353.057109693003,0.0066440299910235975,13,0.245121146,38.4166666666667,0.716034195680807,31,0.584519657,1641,159420,769.5,8083,5659,23826,24074,0.3392512381432049,0.2350668771288527,11510,-0.2997565684546294,-0.47810916341281046 +39007,OH,Ashtabula,20657.0305335266,21.933802765637044,0.2035235576768436,4913.64075887453,0.048411684669246675,15,0.151247794,98.0833333333333,0.99849674067589,86,0.867154021,3565,297520,921,22964,15191,41781,39809,0.5496278212584668,0.3815971262779773,7564,0.12144276106364138,-0.19000728478484769 +39009,OH,Athens,14901.0944427876,-4.857278977633073,0.23010785618215174,2136.33648132537,0.032990047119622126,11,0.169981302,50.25,0.759224005076602,59,0.911717893,1419,195119,834.8,17268,15552,26112,27941,0.6613051470588235,0.5566014101141692,4736,0.3504136029411764,0.16950001789484992 +39011,OH,Auglaize,2299.64571532761,11.35167766651258,0.050047785921948466,550.898334248435,0.011989343277295155,6,0.130887197,30,0.653680219636554,34,0.741694117,1461,137673,754.5,5643,3825,22838,22860,0.24708818635607321,0.1673228346456693,14305,-0.48861546545231627,-0.6257655293088363 +39013,OH,Belmont,10006.2012686262,-4.811430211454406,0.14213354074753126,1445.60067745558,0.02053410053203949,19,0.273534789,58.1666666666667,0.847009256427805,54,0.777414664,2596,208095,849.5,13826,8652,30876,30537,0.44779116465863456,0.28332842125945573,12077,-0.08394869801787797,-0.39548744146445297 +39015,OH,Brown,3237.49882761767,-27.640924671464983,0.07219147365690742,769.778040640245,0.017164920854485236,8,0.181340103,41.5,0.948376334011289,25,0.566687823,1507,132160,948.4,6923,4270,18955,19139,0.36523344763914534,0.22310465541564345,9987,-0.25048799788973886,-0.5218140968702649 +39017,OH,Butler,125412.067800483,11.630468386366069,0.3406733159494825,33912.1797588824,0.09212011995458777,43,0.114924711,260.75,0.690660782916641,272,0.726965613,9642,1121688,833.1,59282,56700,164020,168422,0.36143153273990974,0.33665435631924573,47741,-0.261821729057432,-0.2834605930341642 +39019,OH,Carroll,1704.27967843959,1.6915453953879718,0.059102499599097996,331.882167148881,0.01150929973466781,3,0.106432043,23.5,0.849325960461166,15,0.532160216,964,84327,816.5,5396,3124,12965,12807,0.41619745468569225,0.24392910127274148,5943,-0.13736984188198997,-0.46404310142890604 +39021,OH,Champaign,627.128366559511,53.5372370505427,0.01564028148139539,144.89734244789,0.003613670410451904,10,0.255571458,26,0.671019691847111,19,0.48558577000000003,1165,117516,820.6,7826,4488,20016,17597,0.39098721023181454,0.2550434733193158,7826,-0.2011390887290168,-0.4447348979939762 +39023,OH,Clark,33638.012155897,26.28538805224631,0.2431669388786262,8342.50633462953,0.060307420027249675,19,0.139139095,112.416666666667,0.834038154308806,125,0.915388784,5158,409181,944.9,30022,22666,62136,59620,0.48316595854255184,0.38017443810801743,11645,-0.01760654049182442,-0.1953203622945321 +39025,OH,Clermont,78008.0457785454,-5.179268022679588,0.3952516215225012,21341.0765059403,0.10813109096406266,26,0.128993848,133.833333333333,0.659206063053922,132,0.654891844,5026,603567,783.7,29334,26096,93392,96455,0.3140954257323968,0.27055103416100773,39864,-0.35541588144594827,-0.41329117204914206 +39027,OH,Clinton,7472.72354197123,84.40486475588018,0.17775270080806918,1962.88437652891,0.04669087479849929,8,0.191227441,34.4166666666667,0.821360953335561,31,0.741006334,1300,125699,893.9,5534,3943,17648,18100,0.3135766092475068,0.2178453038674033,9523,-0.3516545784224841,-0.5261325966850828 +39029,OH,Columbiana,21395.0415270525,3.1972127215956747,0.19839431688367598,4199.25415743456,0.03893931025708738,16,0.151391859,90.25,0.870424844480879,76,0.71911133,3883,316230,891.7,19351,12273,45078,45261,0.42927814011269355,0.271160601842646,18813,-0.12039132170903771,-0.41565586266321997 +39031,OH,Coshocton,6861.14462190056,7.297967508495382,0.18593383978484485,1637.03508677489,0.044362892246142115,8,0.219082046,24.5833333333333,0.671639072546127,21,0.575090371,1232,109882,860,6841,3908,15555,14961,0.4397942783670845,0.261212485796404,6473,-0.0945676631308261,-0.4326582447697347 +39033,OH,Crawford,10125.7319365623,306.44398686365577,0.23126557501741052,2413.46884638735,0.05512216440680043,7,0.164783427,36.4166666666667,0.865353388937734,33,0.776836158,1669,127499,897.5,7207,4518,19192,18702,0.37552105043768236,0.24157844080846969,8747,-0.22686536056690287,-0.46770398887819487 +39035,OH,Cuyahoga,250036.420635505,1.5540685551724975,0.19532233696124662,55522.2482268326,0.0433726224741334,294,0.23336519,1159.5,0.928081117251183,1102,0.874722581,40696,3780327,799.4,420953,383974,611512,583230,0.6883806041418647,0.6583577662328756,204080,0.3867103180313714,0.34991341323320135 +39037,OH,Darke,3130.78430107329,46.600403428378584,0.059117134029594405,704.607241115653,0.013304768615639513,11,0.210744118,19.9166666666667,0.38465500148068,29,0.55559813,1809,156613,813.9,6610,4395,24807,25e3,0.26645704841375417,0.1758,15303,-0.4488652396500987,-0.61212 +39039,OH,Defiance,5001.03592042594,-20.108922709898376,0.1281101498687384,1312.38713226828,0.033619057106547126,5,0.129836406,26.6666666666667,0.698848646854308,27,0.701116593,1136,115476,771.4,7438,5282,17744,17795,0.4191839495040577,0.2968249508288845,6196,-0.14072362488728585,-0.3481876931722394 +39041,OH,Delaware,46411.8620546816,0.16098201752611316,0.2664071891735544,14164.7618255116,0.0813066792881835,17,0.089893344,69.5,0.353756178008073,166,0.877782067,3048,567496,615.2,36131,39584,96330,100101,0.3750752621197965,0.39544060498896116,16076,-0.23719505865254858,-0.16059779622581194 +39043,OH,Erie,21523.2982946061,-0.11146739149728452,0.279236864705122,4797.96181259465,0.062247328229409433,11,0.145065147,55.3333333333334,0.736726714331998,78,1.028643773,2824,227558,854,20969,15692,38262,36730,0.5480372170822225,0.42722570106180235,3609,0.11274894150854631,-0.0982575551320446 +39045,OH,Fairfield,30776.2722720533,-14.179639629379468,0.21057139133565028,8253.92402983093,0.056473384806856576,14,0.093096867,73.4166666666667,0.481114744501312,99,0.658327847,3616,450737,731.7,28831,24150,70079,70542,0.4114071262432398,0.3423492387513822,19013,-0.1612894019606444,-0.2695273737631482 +39047,OH,Fayette,896.913255141699,-26.912170870829904,0.030896081816799828,178.453714732736,0.006147217179908232,7,0.243055556,31.4166666666667,1.09557353419817,32,1.111111111,1076,86112,1018.3,4075,2672,10677,10817,0.38166151540694954,0.24701858186188408,5091,-0.22300271611875994,-0.47064805398909126 +39049,OH,Franklin,274663.114038607,-0.35491563704248225,0.23608372775177794,74009.1072706459,0.06361373274745345,265,0.215203432,984.583333333334,0.778623422785072,1107,0.898981885,27670,3701048,826.7,325654,335961,541751,554711,0.6011137958213275,0.6056505099051578,143633,0.21728247848181176,0.2589330299921941 +39051,OH,Fulton,6459.18563773524,11.95647205319405,0.15127607002049837,1673.09129159467,0.03918430117557427,7,0.16439643,30.8333333333333,0.725251289771213,25,0.587130108,1247,127483,763.7,8790,5981,20757,20693,0.4234715999421882,0.2890349393514715,7438,-0.1315700727465433,-0.3594452230222781 +39053,OH,Gallia,3690.43821212106,53.593321558786954,0.11930038831451024,877.500529417395,0.02836686265653957,5,0.164489917,40.0833333333333,1.3354433894164,31,1.019837484,1100,91016,973.1,3418,2564,9534,12588,0.3585063981539752,0.20368605020654593,7003,-0.2615900985945039,-0.5563234826819192 +39055,OH,Geauga,18310.2758896316,6.824383031423184,0.19606458886626477,4573.60366538371,0.0489736871085857,12,0.127260194,48.75,0.518286200297682,58,0.615090938,2399,282136,615.9,19295,17165,50125,48736,0.3849376558603491,0.3522037097833224,12412,-0.21564089775561102,-0.2546782665791202 +39057,OH,Greene,47231.7808722227,-11.955391119730221,0.2923247131155744,11082.1138256558,0.06858889681850186,16,0.097668172,92.75,0.56292295086942,132,0.805762422,4236,492952,723.7,31028,28023,81075,79633,0.3827073697193956,0.35190184973566235,19483,-0.2177613320999075,-0.2446598771865935 +39059,OH,Guernsey,6254.85549601462,7.879187881878144,0.15603201776173373,1492.69057825596,0.03723627555706239,12,0.303106845,45.0833333333333,1.15411856061576,38,0.959838343,1412,118448,944,7226,4286,16403,16156,0.44052917149301957,0.2652884377321119,6878,-0.09662866548802046,-0.42572418915573157 +39061,OH,Hamilton,236682.57274106,8.129983360658942,0.2949778690997714,59024.9993365188,0.07356295111322002,165,0.204554499,689.5,0.852182489411061,681,0.844252205,23747,2418013,844.9,208508,207587,402572,395e3,0.5179396480629552,0.5255367088607595,37615,0.0493203700207665,0.09522784810126589 +39063,OH,Hancock,12032.6738623908,0.42622366847948834,0.16090334388476907,2883.67010916752,0.03856101881692814,11,0.146010592,47.9166666666667,0.6315461127513,62,0.822968794,2147,226489,753.8,12192,9419,34940,35216,0.3489410417859187,0.26746365288505225,14358,-0.2829135661133371,-0.4077124034529759 +39065,OH,Hardin,3035.02565478082,70.70560753618899,0.09467295697737912,834.817396611359,0.02604084461324346,6,0.188702982,25,0.794306411641355,20,0.629009938,938,95223,888.3,4487,2870,12147,12014,0.3693916193298757,0.23888796404195106,5671,-0.2346258335391455,-0.4720326285999667 +39067,OH,Harrison,381.456459222245,0,0.024045414726566124,84.4438713291311,0.005322987350550372,4,0.257350576,17.0833333333333,1.11604712440931,7,0.450363508,614,46651,901.3,2895,1663,6999,6956,0.4136305186455208,0.23907418056354227,3358,-0.1487355336476639,-0.4827487061529615 +39069,OH,Henry,3638.57213560143,-10.88228305846539,0.1289587855963647,826.733247293576,0.02930119607632735,4,0.143179296,16.3333333333333,0.591166286631197,19,0.680101657,845,83781,718.6,5513,3690,13937,13671,0.3955657602066442,0.26991441737985516,5446,-0.18641027480806488,-0.3983614951356887 +39071,OH,Highland,2456.47577881237,30.666552630454973,0.05635540569438093,606.97451721226,0.013924947055731034,8,0.185852015,44.5,1.03418624648493,27,0.627250552,1457,129399,907.1,5772,3436,17161,17048,0.3363440358953441,0.20154856874706711,9569,-0.3065089447001923,-0.5612975129047395 +39073,OH,Hocking,5072.30291778712,-0.6250867037770558,0.1726447555407461,1210.54613434102,0.041203067880906066,4,0.139251523,18.9166666666667,0.667490002352388,19,0.661444735,885,85798,849.5,6010,3713,12442,12513,0.4830413116862241,0.2967313993446815,4569,-0.01125221025558587,-0.36514025413569884 +39075,OH,Holmes,875.830753574264,0,0.020672963073555775,203.65901079427601,0.004807133333198225,12,0.273360973,17.0833333333333,0.388823136683661,14,0.318921135,938,131309,720,2568,1766,11355,10823,0.2261558784676354,0.16317102466968492,6812,-0.5279612505504183,-0.6294003511041301 +39077,OH,Huron,7389.88101039639,-0.7625085481316884,0.12393722554584224,1750.43775707465,0.02935695429971237,10,0.17031713,45,0.770033710364654,48,0.817522226,1780,176014,873.2,10673,7080,24077,24332,0.4432861236865058,0.2909748479368732,8850,-0.0892137724799601,-0.3637185599210916 +39079,OH,Jackson,1427.97091190759,-7.716355161395317,0.042978808484803316,351.635706009765,0.010583467449503838,9,0.274825944,43.3333333333333,1.33312823668154,24,0.732869183,1197,98214,1048.8,4965,3142,12916,13239,0.38440693713223906,0.2373291034066017,6476,-0.20795912047073395,-0.48916081275020773 +39081,OH,Jefferson,15086.3098312204,6.5706132142425835,0.21641839405557964,3156.53611997812,0.04528161528609104,15,0.221585369,62.75,0.940723195010794,47,0.694300824,2849,203043,972.7,14960,9483,32327,31346,0.4627710582485229,0.30252663816754927,11185,-0.05472205896000254,-0.35682383717220695 +39083,OH,Knox,8644.80621597503,-9.919029871607377,0.14190190929195237,2061.50700745947,0.03383902114967696,11,0.179835532,38.8333333333333,0.638559103715153,40,0.65394739,1761,182908,773.4,10154,7959,27618,27768,0.36765877326381347,0.2866248919619706,10604,-0.24328336592077626,-0.38187842120426396 +39085,OH,Lake,78510.8091236878,-12.008558514485559,0.34129050527378946,18356.8896736766,0.07979833887731579,38,0.165772368,167.166666666667,0.731217977318391,180,0.785237534,7202,688070,756.5,55219,45056,114264,112790,0.4832580690331163,0.3994680379466265,17571,-0.01689946089757055,-0.1557850873304371 +39087,OH,Lawrence,9196.4498974999,3.7622779843821665,0.14726100716573098,2246.15088933978,0.035967187979820334,11,0.178504779,52.6666666666667,0.865203487098611,38,0.616652873,2312,184638,1006.9,10454,6849,25252,25949,0.4139870109298273,0.2639408069675132,11391,-0.15511642642166962,-0.438976453813249 +39089,OH,Licking,34313.6544184969,29.110630146538323,0.2060979171281317,8352.91889443824,0.05017009162264998,20,0.118070724,114.25,0.663480412083764,121,0.714327882,4690,508498,819.3,32264,26360,77423,79399,0.41672371259186547,0.3319941057192156,22986,-0.14646810379344644,-0.2894998677565208 +39091,OH,Logan,3675.85483587678,5.546642718870282,0.08015732992884077,735.226811618416,0.01603268375459933,12,0.263695695,37.75,0.835824200154987,36,0.791087086,1500,136357,892.2,6789,4537,20535,21007,0.3306062819576333,0.21597562717189508,11049,-0.31818845872899926,-0.5259675346313133 +39093,OH,Lorain,81349.4002787049,5.179070879735363,0.26994451837263866,20268.4945967616,0.06725764410451958,53,0.174218319,230.75,0.753186558516802,185,0.608120546,8959,912185,780.2,78112,64958,138513,136654,0.563932627262423,0.4753464955288539,388,0.14451351136716406,-0.00283928754372359 +39095,OH,Lucas,72292.056245336,-2.4547015510941295,0.1636251739876102,18579.4754111658,0.04205261344944332,71,0.16311115,427.583333333333,0.988659415598428,373,0.856907872,13244,1304553,867,129229,107363,200850,191684,0.643410505352253,0.5601041297134868,33261,0.30435150609907896,0.1735199599340581 +39097,OH,Madison,12460.4750746298,81.45736738032616,0.2868763687033452,2988.47940704293,0.06880348583038862,5,0.113848536,29.25,0.673668209769916,22,0.500933558,1191,131269,847.7,6700,4662,17240,16754,0.388631090487239,0.27826190760415426,6657,-0.20388631090487241,-0.39733794914647247 +39099,OH,Mahoning,63368.7198877127,-9.215398184825197,0.2653375926427216,14187.3058284619,0.0594051068300034,42,0.180099827,206.083333333333,0.895983328116124,201,0.861906314,9255,699582,861.2,74298,56188,117571,112827,0.6319415502122122,0.49800136492151703,3380,0.27724523904704396,0.029957368360410186 +39101,OH,Marion,22122.5139050891,-3.730498890088528,0.332664379559542,4652.72422657498,0.06996472574209381,12,0.182592818,51.5,0.791139240506329,44,0.669506999,2197,196937,908,11933,7748,26433,25648,0.45144327166799075,0.3020898315658141,8815,-0.07585215450383992,-0.34369151590767316 +39103,OH,Medina,42335.4737522633,-4.849767931145197,0.24566228995348108,11760.8320975946,0.06824520168973029,21,0.119298525,99.5,0.561445878310132,118,0.670344091,4280,527025,698,37841,31582,88849,89360,0.42590237369019346,0.3534243509400179,22229,-0.1308174543326318,-0.24875783348254255 +39105,OH,Meigs,3888.99798410945,-22.072640329623347,0.1636095071144068,893.858511637231,0.037604480927102696,2,0.085722858,26.1666666666667,1.13153153153153,16,0.685782864,837,70058,909,3911,2157,9979,9410,0.3919230383805993,0.2292242295430393,4712,-0.18749373684737947,-0.5007438894792774 +39107,OH,Mercer,1408.26781235503,-56.69066803667526,0.0345045281608034,353.737066975533,0.008667052162873843,7,0.171438368,21,0.513334474076609,26,0.636771081,1242,122666,748.3,4609,3335,21161,21315,0.21780634185529985,0.1564625850340136,13865,-0.5480837389537356,-0.6504808820079755 +39109,OH,Miami,14209.8607399238,-9.120510797561453,0.13862467309156343,3770.2764153775,0.0367810315042778,10,0.096246391,55.75,0.532580555794381,78,0.750721848,3123,311615,785.1,15731,12832,50281,51467,0.31286171714961913,0.24932481007247362,23479,-0.3563771603587837,-0.4561952318961665 +39111,OH,Monroe,837.792184608278,1.2281288376161599,0.05721842539327129,203.482333665329,0.013897167986977804,1,0.069132389,15.1666666666667,1.06732348111658,6,0.414794331,540,43443,816,3007,1647,6743,6686,0.44594394186563846,0.2463356266826204,3134,-0.07904493548865488,-0.46874065210888416 +39113,OH,Montgomery,142425.887582158,-9.96145087533696,0.26614050109437487,34594.9539228404,0.06464497802094056,84,0.157564207,414,0.779310253953494,477,0.894739606,17954,1599109,876.2,128983,117661,254266,249560,0.5072758449812401,0.47147379387722393,3105,0.030656871150684717,-0.012441897740022412 +39115,OH,Morgan,945.824959082027,-0.2867612655155917,0.06282881354337896,255.00806518197,0.016939555279790755,2,0.13474365,10.6666666666667,0.720525983968297,2,0.13474365,494,44516,816.3,2772,1711,6042,6290,0.45878848063555117,0.2720190779014308,2604,-0.06024495200264807,-0.41399046104928455 +39117,OH,Morrow,166.316313211074,0,0.004775499273870101,40.6220128428831,0.0011663942585604015,6,0.170687301,20.9166666666667,0.597004985348403,14,0.398270369,964,105108,785.1,5780,3711,15813,16186,0.36552203882881174,0.2292722105523292,8011,-0.24549421362170365,-0.4949338934881997 +39119,OH,Muskingum,16744.9335222579,10.733062188629411,0.1945411334695483,4316.63722777894,0.05015030355018867,16,0.186441073,87.6666666666667,1.0185744605041,64,0.745764292,2931,257978,888.5,16327,10926,35954,36217,0.4541080269232909,0.3016815307728415,12662,-0.06950547922345218,-0.3496148217687826 +39121,OH,Noble,3788.43845414501,-0.023890301061844775,0.25868476982895255,377.551213289321,0.02578021258377064,4,0.278493351,8.58333333333333,0.600485052003171,8,0.556986702,407,43264,636.7,2082,1201,5755,5875,0.3617723718505647,0.20442553191489363,3240,-0.24604691572545617,-0.5514893617021276 +39123,OH,Ottawa,11156.6439043025,20.8544521846711,0.2693020156488969,2396.83008999563,0.057855317418065794,9,0.218690771,27.25,0.67058765626538,36,0.874763085,1401,123055,729.6,11214,8136,21936,21742,0.5112144420131292,0.3742066047281759,4253,0.0406181619256018,-0.19561217919234664 +39125,OH,Paulding,2557.60411142829,-11.064624525493295,0.13039686506721168,639.377173286096,0.03259800006557031,5,0.263310338,15.9166666666667,0.843714109020231,10,0.526620675,547,57148,762.5,3435,2068,8912,8842,0.385435368043088,0.2338837367111513,4291,-0.20343357271095153,-0.4852974440171907 +39127,OH,Perry,1410.53161663492,-62.01755427260866,0.03911840969091242,420.357840601766,0.011657824632585445,8,0.223388808,32.5833333333333,0.906931648435253,20,0.558472021,1037,107882,874.3,6857,4072,14673,14647,0.46732092959858246,0.278009148631119,5906,-0.04368568118312549,-0.40322250290161815 +39129,OH,Pickaway,7596.61635594995,6.382618072588187,0.13638939200599573,1058.81178106792,0.019009870750617976,8,0.140656868,41.0833333333333,0.713685978169605,36,0.632955904,1557,170215,825.3,9335,6325,23443,23814,0.39819988909269294,0.2656000671873688,10157,-0.18675084246896728,-0.42651381540270433 +39131,OH,Pike,4088.46418982961,-38.42663276679182,0.1424105398944446,1055.91657329915,0.036779984440389775,3,0.10617214,38,1.34943181818182,19,0.672423556,1005,84861,960.9,5490,3443,11233,11513,0.48873853823555596,0.29905324415877704,4226,-0.004006053592094716,-0.3670633197255277 +39133,OH,Portage,42909.8652637024,29.387350178055467,0.2658290861899925,9936.53801587208,0.06155742518459462,17,0.105014764,100.166666666667,0.618614427200096,124,0.765990042,4259,486103,799.3,38082,31463,74029,73968,0.51442002458496,0.42535961496863506,7515,0.04885923084196736,-0.10159798831927325 +39135,OH,Preble,314.004876838997,7.177774967915782,0.007428551616725739,62.2625759507064,0.0014729731712965792,5,0.120232771,28.5,0.690959342497636,22,0.529024191,1379,124547,877.7,6005,4323,19619,20475,0.30608084000203883,0.21113553113553113,11053,-0.3668382690249248,-0.5398290598290598 +39137,OH,Putnam,5727.09859938069,14.013148546052786,0.16600766976957854,1435.39444760099,0.0416068421577724,5,0.146322905,12.75,0.374383368569415,22,0.643820784,885,102338,669.9,4238,2874,18126,18387,0.23380778991503917,0.15630608582150432,11830,-0.5144543749310383,-0.6433893511720238 +39139,OH,Richland,31594.1102907102,18.64296948183541,0.25381892179723,6525.62133347414,0.05242515632435541,22,0.180413639,111.083333333333,0.917232970293487,96,0.787259517,4182,365884,836.5,21785,15629,55954,53739,0.38933767022911675,0.2908316120508383,20176,-0.20145119205061307,-0.37544427696830984 +39141,OH,Ross,10703.8210533486,24.950920917041852,0.13711596963195072,2024.87404203539,0.02593864062865585,13,0.168483262,64.6666666666667,0.83982683982684,53,0.686893298,2448,231610,929,13895,9905,28961,28955,0.47978315665895516,0.3420825418753238,7928,-0.023721556576085046,-0.2738041788982905 +39143,OH,Sandusky,6092.05572779065,-1.0881078742666666,0.09996153399498967,1426.36719860869,0.02340455497848336,12,0.199405108,48.75,0.821675375021069,36,0.598215324,1966,179810,841.1,14035,9733,28192,27491,0.49783626560726446,0.3540431413917282,6312,0.019296254256526646,-0.22960241533592807 +39145,OH,Scioto,14240.6569918688,5.733480505818903,0.17913001411173476,3207.76141557381,0.04034970773939056,12,0.155323721,77.6666666666667,1.02074790593348,58,0.750731316,2941,232245,1001.6,14432,8841,30023,29618,0.48069813143256834,0.29850091160780606,10901,-0.019684908237018295,-0.3680532108852725 +39147,OH,Seneca,7975.8375470328,31.820176484695622,0.14055577666812583,1798.68205385204,0.031697630696132524,11,0.197596508,38.0833333333333,0.688008478914121,28,0.502972929,1711,167175,788.9,10962,7237,24633,23481,0.44501278772378516,0.3082066351518249,7322,-0.08374944180570776,-0.3118265831949235 +39149,OH,Shelby,8219.96478161615,8.598383622661881,0.1663186124196457,2153.4043508468,0.0435708951469316,7,0.143000143,34.1666666666667,0.702685286112882,30,0.612857756,1287,146964,756.6,6065,4143,23129,23110,0.2622249124475766,0.1792730419731718,14005,-0.45981235678152965,-0.6060147122457811 +39151,OH,Stark,108254.356229243,4.515678627788044,0.2882278791787846,25550.2494407573,0.06802769389901993,62,0.165009475,281.166666666667,0.75256326527699,316,0.841016033,12238,1125795,784.1,86314,66581,176620,170868,0.4886989015966482,0.3896633658730716,29764,-0.0036462461782357236,-0.17419294426106702 +39153,OH,Summit,165394.718098392,-12.803077230037847,0.3052796574601029,39083.1451575484,0.07213827202790131,85,0.156843063,418.166666666667,0.773952742303658,444,0.819274352,17202,1626763,817.6,147146,129922,259389,249937,0.5672792601074063,0.5198189943865854,20391,0.14821754199291415,0.08158455930894587 +39155,OH,Trumbull,45541.4575972812,-1.3465150355613027,0.2165423637133459,9739.87468923328,0.04631154993168854,45,0.219324966,190.833333333333,0.945538626698047,141,0.687218228,7622,615514,852.3,59446,42130,98703,94073,0.6022714608471881,0.44784369585322037,6022,0.22188788587986186,-0.06401411669660795 +39157,OH,Tuscarawas,17960.7690232658,2.2870650117173623,0.19399849887954246,4118.85469971702,0.044488720266542305,18,0.193990602,80.3333333333333,0.8692202265022,78,0.840625943,3070,278468,787.2,17516,11895,39855,40088,0.4394931627148413,0.2967222111355019,14210,-0.0979550871910676,-0.35447016563560163 +39159,OH,Union,11122.956139362,51.58599969089877,0.21267602560921609,2699.25907392284,0.05161107215913652,5,0.09297828,22.25,0.401211749643868,27,0.502082713,1101,161400,767.6,8546,7530,24947,26533,0.342566240429711,0.2837975351449139,10071,-0.29666893814887557,-0.3795650699129386 +39161,OH,Van Wert,4648.77005034307,22.55225256490474,0.16173010194625206,1058.08638323191,0.036810686864455544,3,0.105403696,16.0833333333333,0.567073314058717,16,0.562153046,997,85469,808.7,3923,2667,13586,13584,0.2887531282202267,0.1963339222614841,7661,-0.40556455174444284,-0.563972320376914 +39163,OH,Vinton,6470.94777706147,204.52886466734296,0.48164851336520065,1526.73945281047,0.11363896187647712,0,0,10.5,0.812630601346645,7,0.528940608,438,39533,1007.3,2382,1332,5352,5393,0.44506726457399104,0.2469868347858335,2467,-0.07772795216741402,-0.4574448358983868 +39165,OH,Warren,75605.2082272299,8.636168223856021,0.35546636808559706,21670.3380497734,0.10188552538058798,30,0.135343027,103.166666666667,0.454352609921769,130,0.58648645,4747,666028,705,31907,33036,108008,114254,0.29541330271831723,0.2891452378034905,42911,-0.39551699874083396,-0.37557547219353365 +39167,OH,Washington,5778.64024941314,11.407378129237156,0.09353880425739164,1193.89503671359,0.01932556956705607,13,0.212373189,61.75,1.01880877742947,47,0.767810759,2220,183687,848.6,11333,7841,28798,28992,0.3935342732134176,0.2704539183222958,12060,-0.19404125286478224,-0.4159768211920529 +39169,OH,Wayne,18588.2530210001,2.0861226097174703,0.16231446927174378,4175.79015349844,0.036463413844729654,28,0.242346608,68.1666666666667,0.585272316190149,71,0.614521755,3213,347124,742.9,18932,14670,49356,48550,0.3835805170597293,0.30216271884654994,16952,-0.21310478969122293,-0.34916580844490214 +39171,OH,Williams,5340.36729667119,0.13464595569970197,0.14187257044448195,1323.42684869434,0.03515825005829499,6,0.160896731,29.25,0.790177486019937,27,0.72403529,1188,111795,770.8,7045,4287,17286,16938,0.4075552470207104,0.25309953949698905,7419,-0.16302209880828417,-0.43800921006021964 +39173,OH,Wood,41776.0575311933,14.283118440940907,0.3329087843554228,8860.08479092771,0.07060503626583985,17,0.131182962,79.6666666666667,0.611789882172852,117,0.902847442,3273,388502,762.6,31596,26440,61967,62287,0.5098842932528604,0.4244866505049208,5294,0.04194167863540277,-0.08499365838778555 +39175,OH,Wyandot,1018.68396102051,1.2464682306358195,0.045044614681428695,239.861406371445,0.010606296987461641,8,0.357893795,16.1666666666667,0.730928052566537,15,0.671050866,771,67078,806.4,3962,2484,10254,10396,0.38638580066315587,0.23893805309734514,4862,-0.2040179442168909,-0.46767987687572143 +40001,OK,Adair,1651.05631843157,7.476319910914668,0.07278826956009214,482.871223533051,0.021287802474674912,3,0.135220409,22.6666666666667,1.02573385223399,9,0.405661228,724,66395,1046,2110,1374,6472,6468,0.32601977750309025,0.212430426716141,3379,-0.34796044499381956,-0.5224180581323439 +40003,OK,Alfalfa,3316.19527714096,-3.297283503707253,0.5877694571323928,483.979364819341,0.08578152513635963,2,0.345423143,5.33333333333333,0.915279446255935,2,0.345423143,189,17485,776.8,278,216,1817,2256,0.15299944964226747,0.09574468085106383,1715,-0.694001100715465,-0.760195035460993 +40005,OK,Atoka,5732.81939501008,-3.014824375130337,0.4042320825701651,1178.13727233637,0.0830727169888852,3,0.217454335,14.9166666666667,1.08013516775284,7,0.507393447,501,41445,979.3,1241,795,4775,5002,0.2598952879581152,0.15893642542982808,3273,-0.4802094240837696,-0.6543382646941223 +40007,OK,Beaver,2157.19728383167,-2.8392442822075252,0.3827532441149166,505.469190234387,0.08968580380312047,1,0.182282173,3,0.557413600891862,1,0.182282173,143,16438,669.2,243,176,2300,2237,0.10565217391304348,0.07867679928475638,1811,-0.788695652173913,-0.8095663835493966 +40009,OK,Beckham,2642.98126105615,-15.600750453801101,0.11948918400724037,721.606159604652,0.03262381480196447,4,0.168840488,21.25,0.943647586482526,15,0.63315183,725,71046,988,1413,958,6909,7529,0.2045158488927486,0.12724133351042635,5329,-0.5909683022145029,-0.7077965201221942 +40011,OK,Blaine,6728.66848126208,-3.316926581289977,0.5633985163913656,1221.44867003288,0.10227318680673868,5,0.504184733,10.25,1.06294721559681,2,0.201673893,381,29530,958.5,991,711,3815,3793,0.2597640891218873,0.18745056683364092,2173,-0.4804718217562254,-0.5728974426575271 +40013,OK,Bryan,8293.33089867481,0.07945620666266427,0.19552364434823677,2015.45612652255,0.047516411885197805,5,0.112394911,44.8333333333333,0.983769629678391,30,0.674369465,1508,133438,943.8,3533,2793,12721,13775,0.27772973822812674,0.20275862068965517,7656,-0.4445405235437465,-0.5557894736842106 +40015,OK,Caddo,8867.08070555166,-10.10665319866982,0.29956353734971825,2214.7214281397,0.07482166986958447,4,0.136439608,33.8333333333333,1.14468089905381,11,0.375208923,1051,88202,1032.7,3151,2418,8811,9336,0.3576211553739644,0.2589974293059126,4055,-0.2847576892520713,-0.43434018851756645 +40017,OK,Canadian,26958.3946472009,-20.35345084875317,0.23332318957946444,6805.27892485591,0.05889925589060083,11,0.084888333,72.3333333333333,0.529790329983691,80,0.617369696,2781,388942,778.5,10533,11666,46148,55250,0.22824391089538007,0.21114932126696834,28303,-0.5435121782092398,-0.5122714932126697 +40019,OK,Carter,4759.17780255905,4.155114234299733,0.1000731291410108,1191.18651928327,0.025047553867638198,9,0.1843469,57.8333333333333,1.19106461268089,30,0.614489666,1872,146038,1079.9,4907,4002,17120,18533,0.28662383177570094,0.21593913559596395,9749,-0.4267523364485981,-0.5260346409108076 +40021,OK,Cherokee,10474.5807313356,0.4882579181652936,0.2229250799441463,2474.41317803058,0.05266165488391641,6,0.124118243,54.3333333333333,1.11567419575633,26,0.537845721,1450,144677,934.1,6137,5455,14288,16487,0.4295212765957447,0.33086674349487477,4537,-0.14095744680851063,-0.2751865105840965 +40023,OK,Choctaw,7356.59511252383,18.42576507495974,0.48382736682169214,1834.88843944032,0.12067664843408879,1,0.06595871,15.0833333333333,1.01332437576979,6,0.395752259,686,45198,1152.2,1494,1064,5066,5419,0.2949072246348204,0.19634618933382542,3138,-0.4101855507303593,-0.5790736298210002 +40025,OK,Cimarron,998.540116734018,-0.19475734706081432,0.40345055221576487,251.598297538837,0.10165587779346948,1,0.435919791,3,1.38760407030527,3,1.307759372,100,6830,968,115,70,1197,1077,0.0960735171261487,0.06499535747446611,892,-0.8078529657477025,-0.8282265552460539 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Mills,2001.02443678865,0.6253232115378244,0.5486768403588292,469.391995846178,0.12870633283415905,1,0.265886732,2,0.549450549450549,0,0,106,11310,660.4,272,151,1674,1758,0.16248506571087215,0.08589306029579068,1395,-0.6750298685782556,-0.7935153583617747 +40131,OK,Rogers,17566.426554087,-24.278242026282008,0.20213366957122145,4382.23165681146,0.05042554118648478,5,0.05567,54.9166666666667,0.598442415128334,34,0.378555921,2561,269793,858.9,9146,7895,36677,40834,0.24936608773890995,0.19334378214233236,22998,-0.5012678245221802,-0.5632071313121418 +40133,OK,Seminole,1914.04503081855,-12.011483943208571,0.07511361081620556,542.941132241443,0.02130684923638031,5,0.196687778,27.25,1.08104891498393,16,0.629400889,1066,76443,1125.4,2597,2067,7449,8032,0.34863740099342194,0.2573456175298805,3545,-0.30272519801315617,-0.44135956175298807 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Jacinto,2148.83499161658,339.08380383075144,0.08144462521287825,482.710872844717,0.018295590996237,5,0.184508653,20.3333333333333,0.733869900506491,4,0.147606923,885,81295,815.3,2410,2034,9610,10305,0.25078043704474506,0.19737991266375546,6016,-0.48855359001040577,-0.5837942746239689 +48409,TX,San Patricio,13590.5606190166,24.05527536740809,0.20971792819913276,3846.56641746601,0.059356928854175824,8,0.119554659,67.9166666666667,1.00386766191215,55,0.82193828,1890,200531,900.9,7854,7825,20064,21513,0.39144736842105265,0.363733556454237,5179,-0.20633971291866027,-0.24073815832287448 +48411,TX,San Saba,1871.97661117252,0,0.30532973596028706,397.930665482931,0.06490469180931838,3,0.53361793,5,0.841184387617766,4,0.711490573,184,17443,698.1,323,293,2256,2354,0.14317375886524822,0.12446898895497026,1732,-0.7012411347517731,-0.735768903993203 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Zandt,5077.79334969102,100.38808408893125,0.09657455162119896,1034.49875549101,0.019675131811008384,5,0.094500095,34.75,0.639315610339435,27,0.51030051,1875,158784,864,3083,2792,19081,21689,0.16157434096745454,0.12872884872516022,15644,-0.6659504218856453,-0.7212872884872517 +48469,TX,Victoria,24368.6095116949,-30.837584387843975,0.28076699171240654,6526.39682017365,0.07519496756850956,6,0.06587543,78.0833333333333,0.844445405748357,71,0.779525916,2404,273737,796.2,8795,8843,28827,31032,0.3050959170222361,0.284963908223769,12410,-0.3777361501370243,-0.3999097705594225 +48471,TX,Walker,22834.2124816692,13.279773585936377,0.3364850574213348,2781.32706531735,0.04098564809415348,9,0.128960151,42.5833333333333,0.595704400052226,34,0.487182794,1487,209838,777.3,5283,6085,15066,19683,0.35065710872162487,0.30915002794289487,6793,-0.2844816142307181,-0.34512015444800087 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George,11104.2019562397,8.404432642138753,0.31082440745247586,2448.0636304232,0.0685252240846242,3,0.08035786,16.9166666666667,0.446998722860792,17,0.455361209,663,112944,629.4,7671,6419,17180,16140,0.44650756693830035,0.3977075588599752,2738,-0.09772991850989526,-0.1696406443618339 +51153,VA,Prince William,87198.5298483464,5.397401875821811,0.2169106866342615,25881.5026749131,0.06438152714392739,63,0.14122584,187.833333333333,0.412630068173663,283,0.634395441,5217,1335902,604.5,103161,83093,179648,144854,0.574239624153901,0.5736327612630648,29028,0.16025783754898465,0.2003948803622958 +51155,VA,Pulaski,5242.47644697338,0.29902893415070253,0.15033483731857594,1087.23660306369,0.031177925070649516,6,0.174814987,37.8333333333333,1.10614078687055,33,0.961482431,1280,103154,913.4,5287,4170,14657,15112,0.36071501671556255,0.2759396506087877,6144,-0.24766323258511286,-0.4065643197458973 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+1026,43.52,TRUE,18.63 +1027,98.65,FALSE,85.43 +1028,57.65,TRUE,51.34 +1029,78.82,TRUE,75.89 +1030,87.02,FALSE,79.72 +1031,57.32,TRUE,35.6 +1032,73.33,TRUE,59.29 +1033,88.78,FALSE,82.99 +1034,86.22,FALSE,81.88 +1035,94.92,FALSE,83.35 +1036,21.07,TRUE,0 +1037,78.01,TRUE,73.48 +1038,86.84,FALSE,74.77 +1039,82.42,FALSE,64.1 +1040,84.14,FALSE,69.54 +1041,93.36,FALSE,85.52 +1042,94.36,FALSE,92.95 +1043,62.14,TRUE,36.25 +1044,66.8,TRUE,51.98 +1045,72.35,TRUE,50.85 +1046,89.99,FALSE,80.24 +1047,85.5,FALSE,64.04 +1048,89.67,FALSE,84.62 +1049,78.19,TRUE,69.04 +1050,72.31,TRUE,81.4 +1051,61.82,TRUE,38.41 +1052,63.67,TRUE,46.72 +1053,61.95,TRUE,43.3 +1054,42.42,TRUE,16.47 +1055,47.57,TRUE,24.05 +1056,84.69,FALSE,67.54 +1057,57.84,TRUE,29.56 +1058,65.51,TRUE,50.74 +1059,72.87,TRUE,57.69 +1060,88.59,FALSE,83.12 +1061,62.19,TRUE,37.95 +1062,73.97,TRUE,50.79 +1063,81.28,FALSE,56.57 +1064,52.94,TRUE,28.27 +1065,50.84,TRUE,31.76 +1066,54.38,TRUE,34.71 +1067,88.53,FALSE,84.36 +1068,52.5,TRUE,21.24 +1069,86.73,FALSE,85.54 +1070,66.58,TRUE,44.99 +1071,71.56,TRUE,62.9 +1072,86.29,FALSE,65.01 +1073,76.27,TRUE,77.49 +1074,68.04,TRUE,49.94 +1075,41.88,TRUE,14.08 +1076,78.38,TRUE,82.59 +1077,69.26,TRUE,58.54 +1078,92.88,FALSE,80.52 +1079,61.02,TRUE,42.94 +1080,71.06,TRUE,50.01 +1081,60.86,TRUE,32.6 +1082,82.14,FALSE,75.87 +1083,77.73,TRUE,82.39 +1084,72.83,TRUE,61.23 +1085,77.13,TRUE,71.4 +1086,55.17,TRUE,36.86 +1087,87.01,FALSE,79.9 +1088,71.18,TRUE,59.79 +1089,62.53,TRUE,41.05 +1090,92.04,FALSE,83.6 +1091,70.62,TRUE,49.83 +1092,84.76,FALSE,74.96 +1093,59.11,TRUE,35.73 +1094,95.61,FALSE,85.37 +1095,70.83,TRUE,60.76 +1096,84.31,FALSE,76.85 +1097,81.3,FALSE,63.09 +1098,92.27,FALSE,81.34 +1099,67.1,TRUE,53 +1100,95.06,FALSE,89.76 +1101,77.74,TRUE,69.27 +1102,65.48,TRUE,41.94 +1103,73.58,TRUE,67.21 +1104,54.79,TRUE,24.24 +1105,74.22,TRUE,63.76 +1106,88.09,FALSE,84.29 +1107,94.91,FALSE,83.76 +1108,90.45,FALSE,82.18 +1109,88.57,FALSE,81.78 +1110,94.26,FALSE,84.63 +1111,49.57,TRUE,25.71 +1112,38.57,TRUE,11.62 +1113,84.96,FALSE,75.81 +1114,73.54,TRUE,65.03 +1115,48.73,TRUE,16.95 +1116,62.89,TRUE,46.88 +1117,72.08,TRUE,56.47 +1118,91.29,FALSE,89.73 +1119,68.83,TRUE,41.12 +1120,78.4,TRUE,63.68 +1121,85.57,FALSE,69.57 +1122,86.17,FALSE,87.16 +1123,70.3,TRUE,57.05 +1124,63.99,TRUE,49.83 +1125,67.53,TRUE,53.89 +1126,65.71,TRUE,48.07 +1127,83.29,FALSE,63.23 +1128,73.2,TRUE,54.8 +1129,60.07,TRUE,32.77 +1130,97.84,FALSE,92.32 +1131,76.95,TRUE,67.22 +1132,74.4,TRUE,63.67 +1133,79.42,TRUE,73.13 +1134,74.21,TRUE,62.93 +1135,97.02,FALSE,92.72 +1136,68.01,TRUE,42.65 +1137,75.13,TRUE,70.02 +1138,83.34,FALSE,64.49 +1139,99.5,FALSE,82.73 +1140,82.15,FALSE,65.01 +1141,72.89,TRUE,56.4 +1142,76.51,TRUE,71.22 +1143,68.57,TRUE,62.57 +1144,59.26,TRUE,37.59 +1145,55.75,TRUE,30.73 +1146,51.89,TRUE,24.91 +1147,56.52,TRUE,33.86 +1148,81.24,FALSE,68.94 +1149,75.66,TRUE,65.58 +1150,42.79,TRUE,10.47 +1151,61.6,TRUE,46.24 +1152,68,TRUE,50.38 +1153,41.66,TRUE,15.98 +1154,85.2,FALSE,83.31 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+1198,94.42,FALSE,92.4 +1199,55.17,TRUE,33.74 +1200,68.36,TRUE,54.71 diff --git a/docs/_site/files/data/generated_data/barrel-dag-observational.png b/docs/_site/files/data/generated_data/barrel-dag-observational.png new file mode 100644 index 00000000..2b7066da Binary files /dev/null and b/docs/_site/files/data/generated_data/barrel-dag-observational.png differ diff --git a/docs/_site/files/data/generated_data/barrel-dag-rct.png b/docs/_site/files/data/generated_data/barrel-dag-rct.png new file mode 100644 index 00000000..fb822ac2 Binary files /dev/null and b/docs/_site/files/data/generated_data/barrel-dag-rct.png differ diff --git a/docs/_site/files/data/generated_data/barrels_observational.csv b/docs/_site/files/data/generated_data/barrels_observational.csv new file mode 100644 index 00000000..73cd55a2 --- /dev/null +++ b/docs/_site/files/data/generated_data/barrels_observational.csv @@ -0,0 +1,1242 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,212.73,Barrel,1,25811,No home garden,0,3,81.1 +2,258.76,No barrel,0,39479,Home garden,1,7,65.1 +3,156.49,Barrel,1,13297,No home garden,0,7,75.9 +4,254.84,No barrel,0,28259,No home garden,0,2,70.6 +5,194.78,Barrel,1,21479,No home garden,0,5,66.7 +6,201.81,Barrel,1,28906,Home garden,1,8,75.3 +7,210.42,No barrel,0,7041,No home garden,0,3,66.3 +8,255.56,No barrel,0,29434,No home garden,0,4,71.3 +9,187.88,Barrel,1,24779,Home garden,1,8,70 +10,252.21,No barrel,0,29741,Home garden,1,9,68.4 +11,174.36,Barrel,1,16931,No home garden,0,7,70.5 +12,183.78,Barrel,1,10357,No home garden,0,8,74.4 +13,202.02,Barrel,1,16071,No home garden,0,6,81 +14,185.85,Barrel,1,14977,No home garden,0,6,73 +15,211.61,Barrel,1,13053,No home garden,0,3,81.7 +16,208,Barrel,1,24206,No home garden,0,4,70.3 +17,181.79,No barrel,0,14641,No home garden,0,8,58.7 +18,213.09,Barrel,1,15519,No home garden,0,3,78.6 +19,174.12,No barrel,0,6782,No home garden,0,9,62.6 +20,231.34,No barrel,0,19185,No home garden,0,5,66.1 +21,219.84,No barrel,0,26319,Home garden,1,7,69.9 +22,192.17,Barrel,1,35468,Home garden,1,7,75.2 +23,236.49,Barrel,1,35299,No home garden,0,3,81.2 +24,183.51,No barrel,0,8066,No home garden,0,8,70.9 +25,179.93,No barrel,0,9509,No home garden,0,6,70.3 +26,188.89,Barrel,1,21281,No home garden,0,2,69 +27,265.28,No barrel,0,20160,No home garden,0,2,72.6 +28,266.37,No barrel,0,28510,Home garden,1,7,71.5 +29,142.15,Barrel,1,3815,No home garden,0,6,65 +30,223.17,No barrel,0,11933,No home garden,0,4,71.4 +31,265.78,No barrel,0,36989,Home garden,1,5,63 +32,203.82,No barrel,0,13489,No home garden,0,5,73.2 +33,250.57,No barrel,0,17570,No home garden,0,2,68.6 +34,225.84,No barrel,0,17197,No home garden,0,3,72.7 +35,261.62,No barrel,0,37644,Home garden,1,6,66.4 +36,257.22,No barrel,0,33476,Home garden,1,7,70.9 +37,233.64,No barrel,0,24009,No home garden,0,1,64 +38,204.67,Barrel,1,10880,No home garden,0,4,81.1 +39,271.29,No barrel,0,31316,Home garden,1,6,71.6 +40,260.6,No barrel,0,34542,Home garden,1,5,72.5 +41,233.32,No barrel,0,14983,No home garden,0,4,70.5 +42,192.14,Barrel,1,27877,Home garden,1,9,66.2 +43,233.46,Barrel,1,27994,No home garden,0,5,80.8 +44,189.38,No barrel,0,15527,No home garden,0,2,68.7 +45,171.08,Barrel,1,13715,No home garden,0,8,75 +46,268.69,No barrel,0,28308,No home garden,0,2,72.1 +47,222.04,No barrel,0,26454,No home garden,0,5,64 +48,256.28,No barrel,0,29906,No home garden,0,4,72 +49,213.61,No barrel,0,18501,Home garden,1,9,69.2 +50,248.19,No barrel,0,26720,No home garden,0,5,73.5 +51,270.18,No barrel,0,35343,Home garden,1,6,69.1 +52,216.79,No barrel,0,12211,No home garden,0,6,70.1 +53,235.35,Barrel,1,28904,Home garden,1,7,77.5 +54,175.73,Barrel,1,13592,No home garden,0,6,74.2 +55,210.69,No barrel,0,12990,No home garden,0,4,71.6 +56,184.29,Barrel,1,9363,No home garden,0,7,74.2 +57,239.13,No barrel,0,27521,Home garden,1,7,67.1 +58,224.67,Barrel,1,24539,No home garden,0,3,73.9 +59,250.85,No barrel,0,26410,No home garden,0,4,69.6 +60,166.68,Barrel,1,12062,No home garden,0,6,71.4 +61,235.72,Barrel,1,32672,No home garden,0,4,72.5 +62,207.25,Barrel,1,34827,Home garden,1,6,72.4 +63,205.15,Barrel,1,24811,No home garden,0,3,75.4 +64,186,No barrel,0,13646,No home garden,0,6,66.1 +65,223.82,No barrel,0,20140,No home garden,0,3,62.2 +66,229.3,Barrel,1,24714,No home garden,0,4,69.6 +67,219.04,No barrel,0,11316,No home garden,0,8,71.1 +68,287.82,No barrel,0,23572,No home garden,0,4,73.8 +69,253.42,No barrel,0,29730,No home garden,0,5,69.4 +70,206.44,No barrel,0,12860,No home garden,0,6,67.7 +71,213.55,No barrel,0,13761,No home garden,0,5,63.3 +72,221.17,Barrel,1,25221,No home garden,0,4,68.1 +73,227.28,No barrel,0,31993,Home garden,1,5,68.4 +74,179.57,Barrel,1,31952,No home garden,0,5,60.7 +75,254.44,No barrel,0,36695,Home garden,1,5,65.1 +76,223,No barrel,0,16829,No home garden,0,1,61.9 +77,212.64,No barrel,0,26067,Home garden,1,7,65.7 +78,224.06,No barrel,0,23897,No home garden,0,7,69.2 +79,234.41,No barrel,0,34248,Home garden,1,7,69.2 +80,257.09,No barrel,0,28608,Home garden,1,7,72 +81,126.53,Barrel,1,4832,No home garden,0,7,60.6 +82,244.96,No barrel,0,24637,Home garden,1,6,68.1 +83,252.02,No barrel,0,29531,Home garden,1,6,66.5 +84,214.61,No barrel,0,18565,No home garden,0,5,67.2 +85,219.13,No barrel,0,19108,No home garden,0,1,71.8 +86,245.27,No barrel,0,30574,Home garden,1,6,71.9 +87,229.19,No barrel,0,20286,No home garden,0,4,65.7 +88,263.65,No barrel,0,16218,No home garden,0,4,69.7 +89,182.68,No barrel,0,18107,No home garden,0,7,67.5 +90,218.32,No barrel,0,23129,Home garden,1,8,71.1 +91,189.43,Barrel,1,17230,Home garden,1,9,74.9 +92,187.1,Barrel,1,24724,Home garden,1,7,65.1 +93,247.13,No barrel,0,12219,No home garden,0,2,77 +94,217.41,No barrel,0,27721,Home garden,1,6,60.8 +95,244.46,No barrel,0,18977,No home garden,0,4,74.8 +96,217.75,Barrel,1,25067,Home garden,1,7,74.5 +97,199.82,Barrel,1,27990,Home garden,1,6,73.9 +98,193.69,No barrel,0,16333,No home garden,0,6,66 +99,267.4,No barrel,0,26412,No home garden,0,6,70.3 +100,121.75,Barrel,1,6261,No home garden,0,5,66.9 +101,218.11,No barrel,0,22827,No home garden,0,3,62.8 +102,270.05,No barrel,0,28279,No home garden,0,4,67.8 +103,191.1,Barrel,1,18408,No home garden,0,6,76.8 +104,178.38,No barrel,0,11176,No home garden,0,6,62.2 +105,175.22,No barrel,0,10682,No home garden,0,6,62.5 +106,250.71,No barrel,0,25144,No home garden,0,4,69.3 +107,239.01,No barrel,0,22087,No home garden,0,5,69.3 +108,226.17,Barrel,1,33313,Home garden,1,8,77.9 +109,221.65,No barrel,0,26079,No home garden,0,5,69 +110,212.91,No barrel,0,21691,No home garden,0,5,66.1 +111,182.32,Barrel,1,24941,Home garden,1,9,62.4 +112,218.28,Barrel,1,28018,Home garden,1,8,71.4 +113,230.27,No barrel,0,26331,Home garden,1,8,71.9 +114,257.66,No barrel,0,32150,No home garden,0,4,68.1 +115,210.18,Barrel,1,27143,No home garden,0,5,76 +116,166.36,Barrel,1,15679,Home garden,1,9,69.6 +117,240.31,Barrel,1,34956,No home garden,0,3,66.8 +118,206.07,Barrel,1,23506,No home garden,0,4,78.7 +119,218.62,No barrel,0,21556,No home garden,0,4,70.7 +120,200.36,Barrel,1,11430,No home garden,0,2,75.8 +121,195.36,Barrel,1,19677,No home garden,0,4,66.3 +122,205.18,Barrel,1,28299,No home garden,0,4,65.8 +123,185.46,Barrel,1,14878,No home garden,0,5,71 +124,234.73,No barrel,0,19757,No home garden,0,5,78.1 +125,251.71,No barrel,0,24519,No home garden,0,5,70 +126,194.99,No barrel,0,27526,No home garden,0,6,57.9 +127,225.89,No barrel,0,22271,No home garden,0,6,68.4 +128,235.78,No barrel,0,17550,No home garden,0,3,71.4 +129,216.38,No barrel,0,22228,No home garden,0,3,62 +130,242.48,Barrel,1,18875,No home garden,0,2,82.2 +131,207.6,Barrel,1,28731,No home garden,0,3,64.5 +132,216.38,No barrel,0,19544,No home garden,0,7,62.7 +133,250.36,Barrel,1,28653,No home garden,0,4,80.9 +134,223.57,No barrel,0,14885,No home garden,0,7,69.1 +135,281.43,No barrel,0,27255,No home garden,0,5,82.2 +136,233.91,No barrel,0,22252,No home garden,0,5,67.4 +137,156.53,Barrel,1,16299,No home garden,0,3,54 +138,227,No barrel,0,28339,No home garden,0,4,63.4 +139,214.42,Barrel,1,31862,Home garden,1,6,71.2 +140,189.05,Barrel,1,25688,No home garden,0,5,71.5 +141,178.81,Barrel,1,23795,Home garden,1,9,72.1 +142,243.03,No barrel,0,26763,No home garden,0,5,76.2 +143,241.5,No barrel,0,20645,No home garden,0,6,68.3 +144,212.11,No barrel,0,11961,No home garden,0,4,70.7 +145,187.78,No barrel,0,17118,No home garden,0,7,69.8 +146,228.93,No barrel,0,28364,Home garden,1,6,68.2 +147,153.46,Barrel,1,7939,No home garden,0,7,67.8 +148,227.48,Barrel,1,32363,No home garden,0,2,73.4 +149,183.06,Barrel,1,20559,No home garden,0,3,68.6 +150,213.13,No barrel,0,22450,No home garden,0,7,66.8 +151,213.43,Barrel,1,21992,No home garden,0,4,78.7 +152,264.03,No barrel,0,27979,No home garden,0,2,71.8 +153,170.94,No barrel,0,6885,No home garden,0,7,66.4 +154,171.81,Barrel,1,30342,Home garden,1,6,68 +155,223.55,No barrel,0,18034,No home garden,0,5,71.6 +156,164.64,Barrel,1,3635,No home garden,0,4,71.4 +157,245.53,No barrel,0,13369,No home garden,0,2,74.4 +158,170.86,Barrel,1,20765,No home garden,0,7,64 +159,174.32,Barrel,1,20211,No home garden,0,5,74.9 +160,174.87,No barrel,0,6049,No home garden,0,6,67.2 +161,217.44,No barrel,0,28028,No home garden,0,6,69.5 +162,168.98,No barrel,0,24006,Home garden,1,8,62.1 +163,193.86,No barrel,0,22052,No home garden,0,4,61.7 +164,219.74,No barrel,0,27177,No home garden,0,6,69.6 +165,186,Barrel,1,20355,Home garden,1,8,76.3 +166,145.88,Barrel,1,9577,No home garden,0,9,68.7 +167,242,No barrel,0,34602,No home garden,0,4,69.9 +168,235.19,No barrel,0,24962,No home garden,0,5,68.2 +169,168.35,No barrel,0,7522,No home garden,0,9,72.9 +170,256.56,No barrel,0,30832,No home garden,0,3,67.5 +171,278.48,No barrel,0,33357,Home garden,1,7,73.9 +172,261.39,No barrel,0,28891,No home garden,0,4,70.1 +173,191.91,Barrel,1,7664,No home garden,0,7,79.2 +174,254.93,No barrel,0,22879,No home garden,0,1,71.6 +175,199.93,Barrel,1,32797,Home garden,1,9,70.9 +176,151.87,Barrel,1,6317,No home garden,0,3,69.9 +177,240.35,No barrel,0,38750,No home garden,0,4,63.2 +178,215.35,No barrel,0,10549,No home garden,0,6,70.8 +179,244.16,No barrel,0,16835,No home garden,0,2,71.9 +180,261.26,No barrel,0,29641,No home garden,0,5,64.1 +181,170.42,No barrel,0,1950,No home garden,0,7,68 +182,218.08,Barrel,1,21646,No home garden,0,4,76.4 +183,197.67,Barrel,1,31386,No home garden,0,5,75.5 +184,217.84,No barrel,0,23409,No home garden,0,5,68.3 +185,292.06,No barrel,0,36306,No home garden,0,3,76.1 +186,195.83,No barrel,0,14235,No home garden,0,8,71.7 +187,191.54,Barrel,1,19422,No home garden,0,3,72.3 +188,187.77,No barrel,0,19659,No home garden,0,5,58.6 +189,217.56,Barrel,1,24669,No home garden,0,5,76 +190,175.36,Barrel,1,14662,No home garden,0,4,67.3 +191,220.23,Barrel,1,24369,No home garden,0,4,73.7 +192,287.74,No barrel,0,36826,Home garden,1,7,73.4 +193,211.1,No barrel,0,17097,No home garden,0,5,65.9 +194,219.79,No barrel,0,14804,No home garden,0,5,77.9 +195,184.13,Barrel,1,20895,No home garden,0,7,68.1 +196,195.77,Barrel,1,23453,No home garden,0,3,61.3 +197,170.6,Barrel,1,15292,No home garden,0,3,63.9 +198,190.45,Barrel,1,11943,No home garden,0,4,70.4 +199,287.96,No barrel,0,39000,Home garden,1,4,74.5 +200,222.4,Barrel,1,24622,Home garden,1,7,75.5 +201,190.43,Barrel,1,12524,No home garden,0,4,83 +202,167.46,No barrel,0,7235,No home garden,0,9,68.3 +203,231.78,No barrel,0,19168,No home garden,0,6,67.1 +204,278.05,No barrel,0,28649,Home garden,1,8,76.8 +205,224.18,No barrel,0,17615,No home garden,0,3,73.4 +206,183.79,Barrel,1,24905,Home garden,1,8,64.3 +207,228.78,No barrel,0,29426,Home garden,1,6,65.1 +208,209.46,No barrel,0,22186,No home garden,0,5,60.7 +209,254.34,No barrel,0,24699,Home garden,1,8,70.3 +210,182.66,Barrel,1,16278,No home garden,0,8,66.1 +211,219.11,Barrel,1,30939,Home garden,1,8,80.7 +212,225.08,No barrel,0,28699,No home garden,0,6,62.9 +213,217.1,No barrel,0,22377,No home garden,0,5,63.1 +214,191.22,Barrel,1,25072,No home garden,0,5,72 +215,200.23,No barrel,0,17516,No home garden,0,7,70.3 +216,222.2,No barrel,0,24901,Home garden,1,9,69.9 +217,137.33,Barrel,1,3797,No home garden,0,7,71.2 +218,164.75,Barrel,1,12596,No home garden,0,4,70.2 +219,212.63,Barrel,1,29474,Home garden,1,6,76.2 +220,158.09,Barrel,1,20795,Home garden,1,8,68.1 +221,216.8,Barrel,1,21396,No home garden,0,5,79.9 +222,201.3,Barrel,1,11609,No home garden,0,7,86 +223,250.41,No barrel,0,26493,No home garden,0,4,73.6 +224,179.99,Barrel,1,12809,No home garden,0,7,80.2 +225,185.57,Barrel,1,13605,No home garden,0,7,75.5 +226,217.07,No barrel,0,26145,No home garden,0,5,67.3 +227,137.34,Barrel,1,572,No home garden,0,9,70 +228,268.45,No barrel,0,28862,No home garden,0,4,73.6 +229,246.05,No barrel,0,28305,No home garden,0,4,71.4 +230,202.51,No barrel,0,22778,Home garden,1,7,71.3 +231,210.98,No barrel,0,28042,No home garden,0,6,57.5 +232,219.92,No barrel,0,20065,No home garden,0,3,73.5 +233,190.16,No barrel,0,8463,No home garden,0,6,64.7 +234,210.05,Barrel,1,19207,No home garden,0,3,74.1 +235,182.9,No barrel,0,22067,Home garden,1,8,60.3 +236,232.13,No barrel,0,12730,No home garden,0,3,75.3 +237,244.1,No barrel,0,23102,No home garden,0,5,76.9 +238,236.51,No barrel,0,25148,Home garden,1,6,69.1 +239,233.59,No barrel,0,29420,No home garden,0,5,67.6 +240,167.92,Barrel,1,27732,No home garden,0,5,62.1 +241,237.27,No barrel,0,26237,No home garden,0,4,69.4 +242,240.59,No barrel,0,16245,No home garden,0,2,73.1 +243,228.03,No barrel,0,20156,No home garden,0,4,72.7 +244,245.57,No barrel,0,12116,No home garden,0,3,79.2 +245,274.72,No barrel,0,27499,No home garden,0,4,79.4 +246,236.42,Barrel,1,29061,No home garden,0,3,76.2 +247,172.59,Barrel,1,16866,No home garden,0,8,62.7 +248,200.29,No barrel,0,14483,No home garden,0,7,67.6 +249,186.47,Barrel,1,20120,No home garden,0,7,69.2 +250,200.91,No barrel,0,17426,No home garden,0,7,59.6 +251,179.23,No barrel,0,10322,No home garden,0,6,63.3 +252,198.61,No barrel,0,10334,No home garden,0,6,74.7 +253,270.99,No barrel,0,31526,Home garden,1,5,67.6 +254,220.12,No barrel,0,14850,No home garden,0,5,73.3 +255,225.37,No barrel,0,13115,No home garden,0,3,68.9 +256,233.38,Barrel,1,29775,No home garden,0,5,76.8 +257,252.06,No barrel,0,24220,No home garden,0,5,71.1 +258,210.19,No barrel,0,17341,No home garden,0,4,60.3 +259,206.69,No barrel,0,23242,No home garden,0,6,64.5 +260,285.18,No barrel,0,38900,Home garden,1,7,67.2 +261,224.32,No barrel,0,12636,No home garden,0,5,84.8 +262,210.92,No barrel,0,25900,Home garden,1,7,62.2 +263,258.89,No barrel,0,30876,Home garden,1,6,72.5 +264,274.52,No barrel,0,38559,Home garden,1,6,69.1 +265,192.86,Barrel,1,11182,No home garden,0,6,78.7 +266,241.94,No barrel,0,25847,No home garden,0,4,72.6 +267,220.7,No barrel,0,16846,No home garden,0,2,65.2 +268,230.96,No barrel,0,21089,No home garden,0,5,68.7 +269,205.02,No barrel,0,11424,No home garden,0,4,67.3 +270,250.6,Barrel,1,34542,No home garden,0,3,71.6 +271,241.77,No barrel,0,22464,Home garden,1,7,70.7 +272,232.26,No barrel,0,11423,No home garden,0,3,77 +273,226.66,Barrel,1,26701,No home garden,0,4,77.8 +274,164,Barrel,1,13528,No home garden,0,2,70.5 +275,251.84,No barrel,0,30111,Home garden,1,6,71.2 +276,165.88,No barrel,0,7301,No home garden,0,9,67.4 +277,253.51,No barrel,0,19713,No home garden,0,2,77.4 +278,194.97,Barrel,1,15397,No home garden,0,6,77.3 +279,190.12,Barrel,1,24008,Home garden,1,7,73.6 +280,244.95,No barrel,0,36530,No home garden,0,3,69.6 +281,198.47,Barrel,1,22268,Home garden,1,8,74 +282,212.02,Barrel,1,22842,No home garden,0,7,82 +283,140.09,Barrel,1,5676,No home garden,0,3,67.2 +284,221.59,No barrel,0,19227,No home garden,0,5,75.9 +285,257.11,No barrel,0,12084,No home garden,0,5,79.5 +286,231.05,No barrel,0,20179,No home garden,0,7,71.2 +287,199.72,No barrel,0,13680,No home garden,0,4,62.2 +288,194.51,Barrel,1,29663,Home garden,1,7,73.7 +289,209.04,No barrel,0,9402,No home garden,0,4,64 +290,143.18,Barrel,1,4957,No home garden,0,9,62.4 +291,219.98,No barrel,0,5772,No home garden,0,5,77.6 +292,198.41,No barrel,0,25044,Home garden,1,8,61.4 +293,181.41,Barrel,1,9163,No home garden,0,5,72.2 +294,223.96,No barrel,0,11746,No home garden,0,3,70.3 +295,258.9,No barrel,0,36012,No home garden,0,4,69.5 +296,218.83,No barrel,0,19909,No home garden,0,7,74 +297,263.51,No barrel,0,13791,No home garden,0,3,78.1 +298,212.48,No barrel,0,17166,Home garden,1,8,68.1 +299,243.84,No barrel,0,32059,No home garden,0,3,64.2 +300,172.51,No barrel,0,15538,No home garden,0,8,65.6 +301,220.47,No barrel,0,24576,No home garden,0,6,69.9 +302,263.96,No barrel,0,36060,Home garden,1,8,76.8 +303,197.98,No barrel,0,14428,No home garden,0,4,71.6 +304,197.22,No barrel,0,16403,No home garden,0,6,70.6 +305,174.82,Barrel,1,15809,No home garden,0,7,67 +306,213.17,Barrel,1,16009,No home garden,0,3,80.4 +307,156.97,Barrel,1,22192,Home garden,1,10,69.7 +308,194.3,Barrel,1,32695,Home garden,1,8,62 +309,176.04,No barrel,0,26563,Home garden,1,8,59.8 +310,229.77,Barrel,1,20250,No home garden,0,4,70.8 +311,225.64,Barrel,1,19129,No home garden,0,2,71.9 +312,234.07,Barrel,1,36691,Home garden,1,10,71.7 +313,214.66,No barrel,0,19936,Home garden,1,8,64.2 +314,214.13,No barrel,0,30956,No home garden,0,4,55.2 +315,198.66,No barrel,0,9035,No home garden,0,5,63.8 +316,202.66,Barrel,1,25321,No home garden,0,6,73.5 +317,214.57,No barrel,0,21845,No home garden,0,7,65.4 +318,233.84,No barrel,0,18141,No home garden,0,6,71.6 +319,185.76,Barrel,1,17294,Home garden,1,8,75.3 +320,234.4,No barrel,0,24703,Home garden,1,9,71 +321,234.4,Barrel,1,26873,Home garden,1,6,78.3 +322,209.59,No barrel,0,23680,Home garden,1,9,70.5 +323,238.72,No barrel,0,32314,No home garden,0,4,64 +324,199.38,No barrel,0,26245,No home garden,0,6,57.8 +325,213.76,No barrel,0,21201,No home garden,0,6,70.4 +326,264.43,No barrel,0,31968,No home garden,0,2,73.9 +327,251.96,No barrel,0,21966,No home garden,0,6,72.6 +328,251.54,No barrel,0,21619,No home garden,0,3,71.3 +329,252.2,No barrel,0,29348,No home garden,0,5,67.9 +330,182.34,Barrel,1,17334,No home garden,0,6,65.9 +331,170.29,Barrel,1,22451,Home garden,1,8,64.1 +332,243.47,No barrel,0,23481,Home garden,1,8,72.6 +333,154.37,Barrel,1,11152,No home garden,0,6,66.7 +334,236.34,Barrel,1,13522,No home garden,0,2,84.2 +335,271.13,No barrel,0,18675,No home garden,0,2,76.3 +336,215.62,No barrel,0,29744,Home garden,1,6,64.3 +337,218.31,No barrel,0,29141,Home garden,1,9,63.5 +338,219.9,No barrel,0,18130,No home garden,0,6,67.9 +339,154.86,Barrel,1,9674,No home garden,0,7,73.3 +340,159.77,Barrel,1,2995,No home garden,0,7,75.6 +341,211.59,Barrel,1,17610,No home garden,0,4,70.3 +342,181.2,No barrel,0,5752,No home garden,0,5,68.7 +343,214.11,No barrel,0,18593,No home garden,0,4,71.7 +344,269.58,No barrel,0,31806,No home garden,0,4,81 +345,180.2,Barrel,1,4582,No home garden,0,7,77.5 +346,209.39,No barrel,0,27107,Home garden,1,7,64.4 +347,209.17,Barrel,1,20361,No home garden,0,6,74.6 +348,198.69,No barrel,0,11789,No home garden,0,7,66.5 +349,264.43,No barrel,0,22098,No home garden,0,4,76.7 +350,181.37,No barrel,0,9797,No home garden,0,3,67.5 +351,188.01,Barrel,1,28685,Home garden,1,7,71.2 +352,198.62,Barrel,1,23137,No home garden,0,2,70.3 +353,193.99,Barrel,1,17442,No home garden,0,5,78.1 +354,153,Barrel,1,2082,No home garden,0,5,70.7 +355,139.21,Barrel,1,1886,No home garden,0,6,68.3 +356,200.25,Barrel,1,19408,No home garden,0,3,74 +357,255.57,No barrel,0,15740,No home garden,0,2,73.8 +358,157.93,Barrel,1,10330,No home garden,0,8,66.6 +359,204.35,Barrel,1,23610,Home garden,1,8,75.8 +360,167.95,Barrel,1,10932,No home garden,0,5,69.5 +361,216.61,No barrel,0,11705,No home garden,0,4,68.9 +362,280.74,No barrel,0,36420,Home garden,1,6,71 +363,257.72,No barrel,0,37060,Home garden,1,8,62.8 +364,206.97,No barrel,0,20577,No home garden,0,3,61.1 +365,168.68,Barrel,1,13606,No home garden,0,6,70.6 +366,208.28,Barrel,1,24182,No home garden,0,6,69.8 +367,221.38,No barrel,0,8218,No home garden,0,3,67.2 +368,242.76,Barrel,1,28461,Home garden,1,6,77.9 +369,173.17,Barrel,1,11640,No home garden,0,4,70.2 +370,180.75,Barrel,1,6801,No home garden,0,5,70 +371,182.55,Barrel,1,19448,No home garden,0,5,71.4 +372,203.42,No barrel,0,20970,No home garden,0,6,71.6 +373,207.85,Barrel,1,21163,No home garden,0,1,70 +374,235.58,No barrel,0,17070,No home garden,0,3,70.9 +375,196.96,Barrel,1,30536,Home garden,1,9,77.5 +376,135.61,Barrel,1,982,No home garden,0,7,79.7 +377,186.63,Barrel,1,19660,No home garden,0,3,66.4 +378,228.49,No barrel,0,22161,Home garden,1,8,68.2 +379,246.42,Barrel,1,31622,No home garden,0,4,75.4 +380,160.62,Barrel,1,8157,No home garden,0,7,71 +381,189.67,No barrel,0,13119,No home garden,0,4,64.4 +382,243.47,No barrel,0,24252,No home garden,0,5,70.4 +383,240.82,No barrel,0,17648,No home garden,0,5,73.8 +384,143.57,No barrel,0,3478,No home garden,0,4,61.9 +385,219.99,No barrel,0,27011,No home garden,0,4,60.6 +386,252.85,No barrel,0,16246,No home garden,0,3,71.1 +387,206.95,No barrel,0,13220,No home garden,0,2,68.4 +388,211.46,No barrel,0,29814,Home garden,1,10,63.3 +389,209.92,Barrel,1,32031,Home garden,1,7,66.4 +390,194.39,Barrel,1,19079,No home garden,0,3,73.7 +391,246.26,Barrel,1,31389,No home garden,0,3,73 +392,190.54,No barrel,0,16959,No home garden,0,3,65.7 +393,275.6,No barrel,0,34034,Home garden,1,8,72 +394,206.99,No barrel,0,14242,No home garden,0,7,73 +395,186.95,No barrel,0,7896,No home garden,0,4,69.6 +396,165.7,Barrel,1,15567,No home garden,0,8,68.8 +397,206.61,No barrel,0,11384,No home garden,0,5,69.3 +398,227.45,No barrel,0,12423,No home garden,0,2,73.2 +399,199.99,No barrel,0,11376,No home garden,0,6,70.5 +400,231.19,Barrel,1,27549,No home garden,0,4,76.8 +401,203.92,Barrel,1,22512,No home garden,0,4,70.7 +402,228.38,Barrel,1,21336,Home garden,1,8,76.7 +403,212.06,Barrel,1,12950,No home garden,0,3,70.8 +404,238.12,No barrel,0,26771,Home garden,1,7,72.8 +405,220.85,No barrel,0,12474,No home garden,0,5,73 +406,196.27,No barrel,0,15037,Home garden,1,9,66.1 +407,230.64,No barrel,0,21735,Home garden,1,7,72.7 +408,249.14,Barrel,1,33339,Home garden,1,7,78 +409,217.43,No barrel,0,21485,No home garden,0,6,64.6 +410,216.62,No barrel,0,19231,No home garden,0,6,66 +411,198.28,No barrel,0,11639,No home garden,0,4,63.3 +412,187.09,Barrel,1,23759,No home garden,0,4,68.6 +413,210.38,Barrel,1,19035,No home garden,0,7,71.9 +414,194.44,No barrel,0,12768,No home garden,0,4,63.7 +415,145.61,Barrel,1,14954,No home garden,0,5,67.7 +416,221.22,No barrel,0,23186,No home garden,0,5,71.6 +417,198.47,No barrel,0,18246,No home garden,0,6,66.7 +418,176.72,Barrel,1,12380,No home garden,0,6,68.6 +419,250.82,No barrel,0,30214,No home garden,0,5,67.3 +420,182.2,No barrel,0,9743,No home garden,0,7,67 +421,167.46,No barrel,0,14253,No home garden,0,6,64 +422,197.23,Barrel,1,16838,No home garden,0,4,74.9 +423,207.56,No barrel,0,21306,No home garden,0,5,60.8 +424,170.31,No barrel,0,12565,No home garden,0,6,72 +425,204.37,Barrel,1,29013,No home garden,0,4,69.1 +426,278.27,No barrel,0,28754,No home garden,0,1,73.1 +427,223.22,Barrel,1,33999,No home garden,0,3,74.6 +428,182.31,No barrel,0,4514,No home garden,0,5,71.6 +429,266.63,No barrel,0,28854,No home garden,0,5,70.2 +430,215.78,Barrel,1,32674,Home garden,1,8,74.8 +431,281.45,No barrel,0,25658,No home garden,0,1,70.6 +432,181.85,Barrel,1,9121,No home garden,0,3,69 +433,192.85,Barrel,1,20175,No home garden,0,7,72.7 +434,228.38,Barrel,1,33906,No home garden,0,4,68.4 +435,220.59,No barrel,0,14747,No home garden,0,2,67 +436,198.36,Barrel,1,27357,Home garden,1,7,69.7 +437,199.85,No barrel,0,19782,No home garden,0,3,67.8 +438,211.86,No barrel,0,3006,No home garden,0,8,76.1 +439,189.65,No barrel,0,4741,No home garden,0,5,76.5 +440,152.97,No barrel,0,6697,Home garden,1,10,60.8 +441,175.19,Barrel,1,19251,No home garden,0,6,67.2 +442,242.46,No barrel,0,16104,No home garden,0,7,77.1 +443,158.63,Barrel,1,4106,No home garden,0,6,73.8 +444,218.88,No barrel,0,11793,No home garden,0,2,65.5 +445,193.6,No barrel,0,11378,No home garden,0,9,72.3 +446,196.82,No barrel,0,14103,No home garden,0,2,61.2 +447,204.42,Barrel,1,30836,No home garden,0,5,64.9 +448,240.96,No barrel,0,20782,Home garden,1,7,73 +449,231.59,No barrel,0,31260,Home garden,1,9,65.3 +450,258.44,No barrel,0,20661,No home garden,0,2,76 +451,220.1,No barrel,0,13977,No home garden,0,4,67.1 +452,190.98,Barrel,1,17355,No home garden,0,2,70.3 +453,166.93,Barrel,1,21482,Home garden,1,8,70 +454,217.34,No barrel,0,13677,No home garden,0,8,72 +455,218.35,No barrel,0,26645,No home garden,0,4,62.3 +456,220.42,No barrel,0,11934,No home garden,0,4,67.2 +457,249.08,No barrel,0,21117,No home garden,0,5,69.3 +458,242,No barrel,0,22077,No home garden,0,3,64.4 +459,213.58,No barrel,0,16688,No home garden,0,6,70.5 +460,232.79,Barrel,1,38528,Home garden,1,6,75.4 +461,207.43,No barrel,0,18839,No home garden,0,3,61.8 +462,205.22,Barrel,1,31148,No home garden,0,4,71.2 +463,230.68,No barrel,0,17226,No home garden,0,5,71.9 +464,193.6,No barrel,0,3494,No home garden,0,5,69.5 +465,187.31,Barrel,1,19242,No home garden,0,8,74 +466,228.4,No barrel,0,17631,No home garden,0,4,67.8 +467,172.5,No barrel,0,7341,No home garden,0,6,68.9 +468,230.74,No barrel,0,36758,Home garden,1,6,70 +469,184.29,Barrel,1,16308,No home garden,0,3,73.9 +470,210.65,No barrel,0,12537,No home garden,0,5,69 +471,160.26,Barrel,1,3592,No home garden,0,6,79.9 +472,223.06,No barrel,0,13035,No home garden,0,3,66.8 +473,243.04,Barrel,1,32190,Home garden,1,5,72 +474,146.45,Barrel,1,18444,No home garden,0,4,56.7 +475,265.33,No barrel,0,33438,Home garden,1,5,70.5 +476,235.59,Barrel,1,33103,No home garden,0,2,64.6 +477,245.16,No barrel,0,21262,No home garden,0,2,64.7 +478,185.56,Barrel,1,17543,No home garden,0,6,76.6 +479,177.04,Barrel,1,18878,No home garden,0,4,69 +480,244.52,No barrel,0,20398,No home garden,0,2,75.2 +481,249.22,No barrel,0,33642,Home garden,1,6,67.7 +482,240.67,Barrel,1,37338,Home garden,1,6,76.6 +483,215.18,Barrel,1,27251,No home garden,0,5,69 +484,183.05,Barrel,1,24893,No home garden,0,6,73 +485,250.48,No barrel,0,19375,No home garden,0,2,71.8 +486,230.5,Barrel,1,28103,No home garden,0,4,77.8 +487,130.87,Barrel,1,15588,Home garden,1,8,62.8 +488,197.92,Barrel,1,25928,No home garden,0,5,72.5 +489,192.44,Barrel,1,31002,No home garden,0,4,63.6 +490,222.21,No barrel,0,8360,No home garden,0,4,73.2 +491,242.42,No barrel,0,20315,No home garden,0,7,72.3 +492,165.82,Barrel,1,21202,Home garden,1,9,66.2 +493,162.3,Barrel,1,17548,No home garden,0,6,64.4 +494,281.39,No barrel,0,21082,No home garden,0,2,75.9 +495,222.26,Barrel,1,25648,No home garden,0,5,72.7 +496,260.23,No barrel,0,36297,Home garden,1,5,65.7 +497,225.02,Barrel,1,20363,No home garden,0,7,83.5 +498,255.21,Barrel,1,38665,Home garden,1,9,73.3 +499,252,No barrel,0,29073,No home garden,0,4,68.5 +500,213.46,No barrel,0,16948,No home garden,0,4,64.1 +501,185.78,Barrel,1,11350,No home garden,0,7,71.5 +502,211.48,Barrel,1,21838,No home garden,0,3,71.8 +503,140.64,Barrel,1,14400,No home garden,0,6,71.6 +504,229.04,Barrel,1,22570,No home garden,0,5,76.1 +505,215.64,No barrel,0,14717,No home garden,0,7,72.8 +506,208.27,No barrel,0,12366,No home garden,0,8,73.4 +507,196.47,Barrel,1,31872,Home garden,1,8,67.5 +508,170.93,Barrel,1,13083,No home garden,0,8,69.6 +509,161.97,No barrel,0,10577,No home garden,0,5,57.6 +510,177.71,Barrel,1,27595,Home garden,1,7,65.7 +511,263.34,No barrel,0,25056,No home garden,0,3,71.1 +512,242.93,No barrel,0,19805,No home garden,0,7,73 +513,221.4,No barrel,0,21849,Home garden,1,8,73.5 +514,208.71,No barrel,0,18702,No home garden,0,4,54.5 +515,204.4,Barrel,1,16773,No home garden,0,3,80.1 +516,159.09,Barrel,1,9143,No home garden,0,6,65.8 +517,184.87,No barrel,0,11769,No home garden,0,5,60.8 +518,261.9,No barrel,0,32678,No home garden,0,5,67.3 +519,205.9,No barrel,0,4896,No home garden,0,3,69.8 +520,283.81,No barrel,0,20312,No home garden,0,1,75.3 +521,178.84,Barrel,1,11744,No home garden,0,2,69.1 +522,266.83,No barrel,0,15112,No home garden,0,5,71.9 +523,211.29,Barrel,1,16830,No home garden,0,3,77.3 +524,236.59,No barrel,0,21597,Home garden,1,8,77.8 +525,206.59,No barrel,0,22765,No home garden,0,5,58.2 +526,266.59,Barrel,1,30844,No home garden,0,4,71.6 +527,174.59,Barrel,1,22372,Home garden,1,10,74.3 +528,209.45,No barrel,0,23827,No home garden,0,5,66.3 +529,224.17,No barrel,0,6480,No home garden,0,4,68.8 +530,225.07,No barrel,0,19272,No home garden,0,6,70.8 +531,215.91,Barrel,1,29946,No home garden,0,3,74.4 +532,212.97,Barrel,1,29853,Home garden,1,6,70.5 +533,237.26,No barrel,0,15135,No home garden,0,6,65.4 +534,187.34,Barrel,1,26229,No home garden,0,6,66.9 +535,225.12,No barrel,0,32483,Home garden,1,7,64.6 +536,252.31,No barrel,0,32054,Home garden,1,7,73.9 +537,198.81,No barrel,0,20563,No home garden,0,6,63.4 +538,154.7,Barrel,1,16656,Home garden,1,9,68.2 +539,193.04,No barrel,0,13443,No home garden,0,7,62.9 +540,245.39,Barrel,1,38758,Home garden,1,6,73.5 +541,198.2,No barrel,0,9706,No home garden,0,7,69.9 +542,218.2,Barrel,1,39542,Home garden,1,6,68.8 +543,226.53,Barrel,1,16232,No home garden,0,5,72 +544,183.85,Barrel,1,23404,Home garden,1,9,72.2 +545,190.54,No barrel,0,6954,No home garden,0,3,64.5 +546,253.05,Barrel,1,22107,No home garden,0,6,82 +547,258.08,Barrel,1,34709,No home garden,0,4,72.6 +548,150.32,Barrel,1,8007,No home garden,0,6,74.4 +549,245.59,No barrel,0,14777,No home garden,0,8,75.9 +550,165.61,Barrel,1,8348,No home garden,0,2,70.8 +551,211.37,No barrel,0,21492,No home garden,0,5,69.7 +552,175.35,No barrel,0,12530,No home garden,0,8,64.2 +553,192.34,Barrel,1,23909,Home garden,1,9,63.5 +554,197.32,No barrel,0,7354,No home garden,0,2,66 +555,217,Barrel,1,27392,No home garden,0,3,71.4 +556,140.64,Barrel,1,12815,No home garden,0,7,66.6 +557,174.55,Barrel,1,14647,No home garden,0,7,73.4 +558,222.5,No barrel,0,19455,No home garden,0,3,73.7 +559,180.56,Barrel,1,14579,No home garden,0,5,72.2 +560,222.7,No barrel,0,14416,No home garden,0,8,74 +561,203.54,Barrel,1,10302,No home garden,0,7,76.1 +562,155.47,Barrel,1,18296,No home garden,0,7,68.4 +563,263.2,Barrel,1,33552,No home garden,0,3,70.6 +564,164.08,Barrel,1,21413,No home garden,0,3,64.8 +565,211.36,No barrel,0,30759,Home garden,1,7,63.9 +566,180.59,Barrel,1,34082,Home garden,1,10,65.5 +567,213.05,Barrel,1,27121,No home garden,0,5,70.5 +568,168.35,No barrel,0,15692,No home garden,0,7,64.5 +569,212.53,No barrel,0,19092,No home garden,0,5,68 +570,229.46,Barrel,1,27562,Home garden,1,8,70.7 +571,213.08,Barrel,1,22329,No home garden,0,5,78.3 +572,226,Barrel,1,27472,No home garden,0,3,84.2 +573,236.8,No barrel,0,22427,No home garden,0,4,67.4 +574,195.56,No barrel,0,7057,No home garden,0,6,75.8 +575,197.6,Barrel,1,28142,No home garden,0,5,75.2 +576,224.9,No barrel,0,15252,No home garden,0,7,69 +577,257.73,No barrel,0,23436,No home garden,0,4,72.3 +578,225.46,Barrel,1,16473,No home garden,0,4,79 +579,240.2,No barrel,0,13721,No home garden,0,2,73.6 +580,120.28,Barrel,1,11138,No home garden,0,7,62.3 +581,167.21,Barrel,1,14073,No home garden,0,5,66.1 +582,237.93,No barrel,0,24238,No home garden,0,4,71.6 +583,226.52,No barrel,0,21808,Home garden,1,7,60.2 +584,205.41,No barrel,0,13758,No home garden,0,5,60.8 +585,273.88,No barrel,0,29175,No home garden,0,4,69.7 +586,223.22,No barrel,0,17458,No home garden,0,8,70.4 +587,198.19,Barrel,1,15247,No home garden,0,2,77.9 +588,146.64,Barrel,1,10960,No home garden,0,7,70.2 +589,293.19,No barrel,0,33810,Home garden,1,6,74.2 +590,213.35,Barrel,1,13565,No home garden,0,7,76 +591,280.41,No barrel,0,22785,No home garden,0,1,82.1 +592,195.31,Barrel,1,24474,No home garden,0,6,69.4 +593,227.33,No barrel,0,18669,Home garden,1,9,69.1 +594,196.33,Barrel,1,27232,Home garden,1,8,69.9 +595,189.96,Barrel,1,15372,Home garden,1,9,71.3 +596,224.11,No barrel,0,25845,No home garden,0,4,66.7 +597,222.38,No barrel,0,24886,No home garden,0,1,64.5 +598,228.31,Barrel,1,18693,No home garden,0,3,74.6 +599,197.8,No barrel,0,14287,No home garden,0,5,64 +600,216.34,Barrel,1,36451,Home garden,1,9,74.4 +601,218.23,No barrel,0,15306,No home garden,0,7,72 +602,194.71,Barrel,1,22824,Home garden,1,8,72.1 +603,246.71,No barrel,0,26687,No home garden,0,3,73.9 +604,257.87,No barrel,0,16737,No home garden,0,4,75.4 +605,195.02,No barrel,0,14883,No home garden,0,8,67.5 +606,269.92,No barrel,0,29009,No home garden,0,3,67.8 +607,167.5,Barrel,1,13943,No home garden,0,6,63.5 +608,173.21,No barrel,0,9979,No home garden,0,6,58.6 +609,225.84,No barrel,0,26204,No home garden,0,2,61.8 +610,209.97,Barrel,1,19388,No home garden,0,5,75.4 +611,242.14,No barrel,0,17422,No home garden,0,2,70.2 +612,179.25,Barrel,1,33664,Home garden,1,7,62.4 +613,244.03,No barrel,0,10897,No home garden,0,2,77.2 +614,249.77,No barrel,0,24942,No home garden,0,3,71.7 +615,219.91,Barrel,1,29429,No home garden,0,5,70.9 +616,206.13,No barrel,0,8666,No home garden,0,2,65 +617,216.16,Barrel,1,26188,Home garden,1,8,71.8 +618,223.26,No barrel,0,19414,No home garden,0,6,66.9 +619,274.67,No barrel,0,27133,Home garden,1,8,73.2 +620,232.94,No barrel,0,25427,No home garden,0,3,61.1 +621,247.47,No barrel,0,28180,Home garden,1,7,73.8 +622,205.89,No barrel,0,10410,No home garden,0,2,67.1 +623,211.8,Barrel,1,25308,No home garden,0,5,80.7 +624,230.7,No barrel,0,20076,No home garden,0,6,74 +625,205.17,Barrel,1,20878,No home garden,0,7,72.8 +626,255.14,No barrel,0,32673,Home garden,1,7,73.7 +627,190.12,No barrel,0,8868,No home garden,0,3,71.5 +628,173.93,Barrel,1,11347,No home garden,0,3,66 +629,197.74,Barrel,1,25669,No home garden,0,6,73 +630,216.99,No barrel,0,20334,No home garden,0,7,73.8 +631,194.53,Barrel,1,17573,No home garden,0,4,73.6 +632,163.39,No barrel,0,10404,No home garden,0,4,64.3 +633,234.34,No barrel,0,16954,No home garden,0,2,74.1 +634,234.39,No barrel,0,23877,No home garden,0,2,70.4 +635,289.35,No barrel,0,35562,No home garden,0,4,74.1 +636,105.78,Barrel,1,2927,No home garden,0,5,65.1 +637,177.02,No barrel,0,16845,No home garden,0,6,67.6 +638,213.58,Barrel,1,27645,No home garden,0,4,72.1 +639,271.04,No barrel,0,24383,No home garden,0,1,67.8 +640,220.51,No barrel,0,22018,No home garden,0,7,71.2 +641,223.73,No barrel,0,22657,No home garden,0,5,69.8 +642,204.07,No barrel,0,13490,No home garden,0,4,63.8 +643,233.91,No barrel,0,24820,No home garden,0,3,70.8 +644,191.42,Barrel,1,25013,No home garden,0,5,68.7 +645,222.79,Barrel,1,21438,No home garden,0,6,75.5 +646,207.58,No barrel,0,15381,No home garden,0,3,62.4 +647,218.19,No barrel,0,19733,No home garden,0,8,68.3 +648,150.19,Barrel,1,15734,No home garden,0,6,67.6 +649,217.89,No barrel,0,24623,No home garden,0,6,63.2 +650,184.54,Barrel,1,20802,No home garden,0,5,66.5 +651,248.83,No barrel,0,36081,Home garden,1,5,67.1 +652,210.94,Barrel,1,19994,No home garden,0,1,73.5 +653,154.2,Barrel,1,17522,No home garden,0,7,64.1 +654,178.6,Barrel,1,10455,No home garden,0,4,76.7 +655,205.62,No barrel,0,24607,No home garden,0,4,62.3 +656,231.19,No barrel,0,28485,No home garden,0,4,61.8 +657,280.83,No barrel,0,27098,Home garden,1,6,78.2 +658,227.73,No barrel,0,26220,No home garden,0,3,67.5 +659,186.61,Barrel,1,21691,No home garden,0,7,72.5 +660,182.23,Barrel,1,19442,No home garden,0,6,73.2 +661,261.55,No barrel,0,27580,No home garden,0,4,69.9 +662,182.72,Barrel,1,12406,No home garden,0,6,69.1 +663,245.41,No barrel,0,14855,No home garden,0,6,75.5 +664,242.45,Barrel,1,38738,Home garden,1,7,77.8 +665,179.35,No barrel,0,15415,No home garden,0,7,69.9 +666,219.94,No barrel,0,22499,No home garden,0,4,64.9 +667,135.34,Barrel,1,7488,No home garden,0,8,67.7 +668,189.82,No barrel,0,8185,No home garden,0,4,64.8 +669,244.04,No barrel,0,17869,No home garden,0,4,67.5 +670,196.99,Barrel,1,22447,No home garden,0,5,70.6 +671,233.74,No barrel,0,35925,Home garden,1,7,66 +672,169.4,Barrel,1,21600,Home garden,1,7,61.5 +673,236.23,No barrel,0,27383,No home garden,0,4,68.5 +674,252.12,No barrel,0,31943,No home garden,0,2,63.8 +675,229.5,Barrel,1,29069,No home garden,0,4,72.6 +676,221.6,No barrel,0,25368,No home garden,0,6,75.1 +677,192.15,Barrel,1,7620,No home garden,0,7,76.7 +678,186.31,Barrel,1,11559,No home garden,0,3,65.7 +679,225.33,No barrel,0,20156,No home garden,0,6,71.6 +680,212.5,Barrel,1,26454,No home garden,0,4,67.3 +681,231.95,No barrel,0,18157,No home garden,0,6,68.8 +682,260.52,No barrel,0,21887,No home garden,0,5,70.6 +683,219.13,Barrel,1,21341,No home garden,0,3,72.4 +684,206.43,No barrel,0,15732,Home garden,1,8,67.5 +685,191.73,Barrel,1,21104,No home garden,0,4,70.3 +686,234.46,No barrel,0,18120,No home garden,0,3,68.3 +687,188.34,Barrel,1,34938,Home garden,1,6,66.5 +688,209.42,Barrel,1,25992,No home garden,0,3,75.6 +689,251.91,No barrel,0,27438,No home garden,0,5,70.9 +690,209.7,No barrel,0,22823,No home garden,0,5,60.2 +691,196.87,Barrel,1,26064,No home garden,0,4,61.8 +692,174.26,No barrel,0,549,No home garden,0,8,69.5 +693,190.47,No barrel,0,15361,No home garden,0,5,66.8 +694,224.13,No barrel,0,24124,No home garden,0,4,66.6 +695,236.64,No barrel,0,21801,No home garden,0,3,71.8 +696,227.8,Barrel,1,37408,Home garden,1,6,74.8 +697,225.21,No barrel,0,23658,No home garden,0,6,69.9 +698,165.08,Barrel,1,18233,No home garden,0,7,71.8 +699,225.5,No barrel,0,28641,Home garden,1,7,65.7 +700,187.45,Barrel,1,24152,No home garden,0,2,70.7 +701,261.75,No barrel,0,26698,No home garden,0,5,63.6 +702,191.6,No barrel,0,16131,No home garden,0,5,63.8 +703,242.54,No barrel,0,8616,No home garden,0,4,68.3 +704,198.39,No barrel,0,11635,No home garden,0,8,70.7 +705,215.55,No barrel,0,18597,No home garden,0,6,66.2 +706,133.24,Barrel,1,16236,Home garden,1,8,71.4 +707,198.61,No barrel,0,29860,No home garden,0,5,61.1 +708,210.97,No barrel,0,12764,No home garden,0,2,70.1 +709,218.11,Barrel,1,28313,No home garden,0,5,74.5 +710,184.82,Barrel,1,16386,No home garden,0,4,75.2 +711,210.96,No barrel,0,22392,No home garden,0,6,65.6 +712,146.96,Barrel,1,15721,No home garden,0,5,66.6 +713,186.21,Barrel,1,16324,No home garden,0,4,75 +714,197.4,Barrel,1,24018,No home garden,0,6,77 +715,234.15,No barrel,0,22116,No home garden,0,2,70.9 +716,277.87,No barrel,0,25170,No home garden,0,5,73.1 +717,238.9,No barrel,0,14256,No home garden,0,3,69.1 +718,200.69,No barrel,0,12241,No home garden,0,2,64.7 +719,232.64,Barrel,1,16959,No home garden,0,1,75 +720,172.66,No barrel,0,8628,No home garden,0,8,68.9 +721,215.56,Barrel,1,23062,No home garden,0,4,70.3 +722,223.53,Barrel,1,28742,Home garden,1,9,77.7 +723,221.67,Barrel,1,30654,No home garden,0,4,69.4 +724,221.08,Barrel,1,22132,No home garden,0,7,78.7 +725,189.98,No barrel,0,6524,No home garden,0,7,67.8 +726,170.77,Barrel,1,17930,No home garden,0,6,64 +727,180.23,No barrel,0,10092,No home garden,0,7,71.2 +728,206.15,Barrel,1,21178,Home garden,1,9,72.8 +729,235.27,No barrel,0,20696,Home garden,1,9,69.2 +730,188.48,Barrel,1,22093,No home garden,0,5,71.3 +731,197.21,Barrel,1,13794,No home garden,0,1,74.5 +732,213.48,No barrel,0,23055,No home garden,0,6,70.6 +733,210.07,No barrel,0,15432,No home garden,0,5,68.5 +734,183.96,Barrel,1,18970,Home garden,1,9,75.4 +735,201.61,No barrel,0,11226,No home garden,0,3,72.4 +736,140.2,Barrel,1,2196,No home garden,0,7,73.8 +737,210.8,No barrel,0,25515,No home garden,0,5,68 +738,220,Barrel,1,32849,No home garden,0,2,72.6 +739,219.99,Barrel,1,22298,No home garden,0,5,73.3 +740,169.23,Barrel,1,14141,No home garden,0,5,66.1 +741,166.39,No barrel,0,2268,No home garden,0,8,66.4 +742,220.68,No barrel,0,24530,Home garden,1,9,62.7 +743,263.14,No barrel,0,23996,No home garden,0,5,70.4 +744,181.51,Barrel,1,8212,No home garden,0,6,80.5 +745,189.41,Barrel,1,20135,Home garden,1,8,74.6 +746,218.85,No barrel,0,19855,No home garden,0,5,67.8 +747,202.21,No barrel,0,16480,No home garden,0,8,66.8 +748,216.55,No barrel,0,17797,No home garden,0,6,65 +749,254.94,No barrel,0,16245,No home garden,0,3,70.4 +750,146.36,Barrel,1,3529,No home garden,0,4,73.3 +751,224.02,No barrel,0,15371,No home garden,0,1,70.2 +752,223.21,No barrel,0,19178,Home garden,1,8,76.2 +753,236.81,Barrel,1,27137,No home garden,0,5,77.9 +754,193.61,Barrel,1,26178,No home garden,0,6,63.5 +755,156.52,Barrel,1,3828,No home garden,0,8,75.3 +756,227.36,No barrel,0,19288,Home garden,1,9,73.4 +757,205.44,No barrel,0,13130,No home garden,0,3,69.2 +758,180.15,Barrel,1,16319,No home garden,0,4,68.9 +759,236.68,No barrel,0,15926,No home garden,0,3,73.2 +760,256.78,No barrel,0,12326,No home garden,0,4,73.3 +761,252.18,No barrel,0,29719,No home garden,0,5,63.7 +762,193.8,No barrel,0,11896,No home garden,0,7,63.5 +763,237.37,No barrel,0,26218,No home garden,0,3,67.7 +764,218.11,No barrel,0,10377,No home garden,0,5,72.3 +765,240.98,No barrel,0,25653,No home garden,0,4,70.6 +766,266.25,No barrel,0,35489,Home garden,1,6,67.2 +767,131.04,Barrel,1,14360,No home garden,0,5,57.5 +768,253.91,No barrel,0,24151,No home garden,0,3,63.5 +769,264.42,No barrel,0,14933,No home garden,0,4,80.9 +770,255.59,Barrel,1,33609,Home garden,1,6,81.4 +771,255.52,No barrel,0,14086,No home garden,0,6,76 +772,227.16,No barrel,0,25814,Home garden,1,9,70.6 +773,144.56,Barrel,1,3289,No home garden,0,5,69.4 +774,265.35,No barrel,0,17809,No home garden,0,2,76.5 +775,161.33,Barrel,1,11130,No home garden,0,8,78.1 +776,225.57,No barrel,0,21940,No home garden,0,4,58.7 +777,235.05,No barrel,0,18608,No home garden,0,5,65.9 +778,221.22,Barrel,1,30507,Home garden,1,6,71.6 +779,229.29,No barrel,0,29773,Home garden,1,9,66.5 +780,185.62,No barrel,0,5527,No home garden,0,8,70.6 +781,164.76,Barrel,1,13841,No home garden,0,6,67.1 +782,234.07,No barrel,0,21441,No home garden,0,6,72.1 +783,259.17,Barrel,1,35246,Home garden,1,5,77 +784,249.75,No barrel,0,29818,No home garden,0,5,71.6 +785,189.67,Barrel,1,16193,No home garden,0,8,74.8 +786,219.24,Barrel,1,27051,No home garden,0,4,73.6 +787,239.79,Barrel,1,31655,No home garden,0,4,71.9 +788,227.43,No barrel,0,8374,No home garden,0,3,68.6 +789,259.88,No barrel,0,30400,Home garden,1,8,70.6 +790,265.19,No barrel,0,24938,No home garden,0,3,74 +791,193.24,Barrel,1,10882,No home garden,0,6,68.7 +792,185.77,Barrel,1,24914,No home garden,0,5,77.2 +793,203.59,No barrel,0,8918,No home garden,0,3,70 +794,262.42,No barrel,0,35741,Home garden,1,7,66.6 +795,191.32,Barrel,1,20410,No home garden,0,3,71.7 +796,250.46,No barrel,0,32639,No home garden,0,3,62.2 +797,234.39,Barrel,1,21733,No home garden,0,3,78.6 +798,170.64,Barrel,1,24565,Home garden,1,9,65.2 +799,191.93,No barrel,0,7661,No home garden,0,9,67.1 +800,156.85,Barrel,1,3633,No home garden,0,4,75.1 +801,196.3,Barrel,1,22057,Home garden,1,7,73.2 +802,191.89,Barrel,1,26372,No home garden,0,6,66.3 +803,234.87,No barrel,0,32699,Home garden,1,5,61 +804,235.05,No barrel,0,27322,No home garden,0,5,68.7 +805,175.14,Barrel,1,25433,No home garden,0,5,74.5 +806,226.19,Barrel,1,23745,Home garden,1,7,75.4 +807,197.31,No barrel,0,15209,No home garden,0,5,65.7 +808,235.31,No barrel,0,20153,No home garden,0,6,68 +809,246.4,No barrel,0,30153,Home garden,1,9,69.1 +810,155.82,No barrel,0,4565,No home garden,0,8,70.2 +811,217.2,No barrel,0,19301,No home garden,0,5,63 +812,188.68,No barrel,0,9641,No home garden,0,6,69.4 +813,181.37,Barrel,1,19682,No home garden,0,5,65.9 +814,187.14,Barrel,1,22598,No home garden,0,6,69.6 +815,161.35,No barrel,0,11515,No home garden,0,7,59.3 +816,197.48,Barrel,1,22563,No home garden,0,6,74.3 +817,213.81,Barrel,1,13822,No home garden,0,6,78.2 +818,171.01,Barrel,1,15346,No home garden,0,7,66.8 +819,237.19,No barrel,0,36793,Home garden,1,5,63.6 +820,198.76,No barrel,0,13357,No home garden,0,6,64.9 +821,186.66,No barrel,0,9571,No home garden,0,4,61.7 +822,226.83,No barrel,0,21392,No home garden,0,5,70.2 +823,191.18,No barrel,0,12552,No home garden,0,3,63.8 +824,253.1,Barrel,1,36397,Home garden,1,6,75.2 +825,264.02,No barrel,0,26390,No home garden,0,3,72.6 +826,207.36,Barrel,1,21210,No home garden,0,4,71.4 +827,232.32,No barrel,0,16352,No home garden,0,2,76 +828,202.49,No barrel,0,578,No home garden,0,9,71.2 +829,159.97,No barrel,0,8083,No home garden,0,5,59.1 +830,229.66,No barrel,0,18242,No home garden,0,7,68.1 +831,227.82,No barrel,0,6713,No home garden,0,3,73.6 +832,182.12,Barrel,1,24485,No home garden,0,3,70.8 +833,178.44,Barrel,1,22983,Home garden,1,9,67.2 +834,198.73,Barrel,1,25895,No home garden,0,4,63.1 +835,202.28,Barrel,1,22591,Home garden,1,7,75.8 +836,228.88,Barrel,1,24583,Home garden,1,7,77.5 +837,179.95,Barrel,1,18250,Home garden,1,10,65.2 +838,240.39,No barrel,0,16241,No home garden,0,2,70.6 +839,218.34,No barrel,0,21985,No home garden,0,5,66.5 +840,274.54,Barrel,1,34779,No home garden,0,1,74.9 +841,278.52,No barrel,0,37833,No home garden,0,3,70.9 +842,198.01,No barrel,0,22754,No home garden,0,6,61 +843,182.75,Barrel,1,28967,Home garden,1,9,65.7 +844,230.82,No barrel,0,15540,No home garden,0,3,70 +845,216.36,No barrel,0,9884,No home garden,0,8,65.7 +846,178.02,Barrel,1,18997,No home garden,0,2,66.2 +847,175.34,No barrel,0,26702,No home garden,0,6,60.9 +848,192.7,Barrel,1,26614,No home garden,0,5,66.4 +849,195.82,No barrel,0,20895,No home garden,0,4,63.5 +850,180.6,Barrel,1,11650,No home garden,0,4,68.7 +851,167.16,Barrel,1,16578,Home garden,1,9,69.7 +852,236.27,Barrel,1,29836,No home garden,0,1,68.8 +853,158.06,Barrel,1,16290,No home garden,0,7,71.1 +854,202.32,No barrel,0,25703,Home garden,1,7,60 +855,214.61,Barrel,1,33427,No home garden,0,4,75.8 +856,228.15,No barrel,0,15338,No home garden,0,2,66 +857,186.64,Barrel,1,11451,No home garden,0,5,78.9 +858,253.13,No barrel,0,18632,No home garden,0,3,69.7 +859,262.47,No barrel,0,19158,No home garden,0,6,74.7 +860,178.24,Barrel,1,20616,No home garden,0,6,64 +861,244.13,No barrel,0,27697,No home garden,0,3,68.4 +862,179.11,Barrel,1,22418,No home garden,0,5,76.1 +863,242.59,No barrel,0,33517,No home garden,0,3,69.7 +864,176.5,No barrel,0,17735,No home garden,0,6,61.9 +865,203.7,Barrel,1,29616,Home garden,1,7,76.5 +866,169.36,Barrel,1,12691,No home garden,0,3,62.6 +867,234.24,No barrel,0,23914,No home garden,0,2,65 +868,267.79,No barrel,0,25087,No home garden,0,4,77.2 +869,215.44,Barrel,1,19894,Home garden,1,8,76.7 +870,180.26,No barrel,0,14487,No home garden,0,6,68.7 +871,158.12,Barrel,1,7999,No home garden,0,3,73.3 +872,203.57,Barrel,1,18378,No home garden,0,5,72.3 +873,204.05,Barrel,1,16859,No home garden,0,4,74.1 +874,198.39,Barrel,1,31389,Home garden,1,8,75.4 +875,229.53,No barrel,0,12188,No home garden,0,3,66.4 +876,227.46,Barrel,1,39268,Home garden,1,8,72 +877,191.33,No barrel,0,21270,No home garden,0,5,67.5 +878,206.46,Barrel,1,22792,Home garden,1,7,73.2 +879,215.28,No barrel,0,11058,No home garden,0,5,73.2 +880,235.93,No barrel,0,12646,No home garden,0,2,71.6 +881,186.33,Barrel,1,22826,No home garden,0,5,71.4 +882,201.8,No barrel,0,26503,No home garden,0,5,58 +883,172.83,Barrel,1,19463,Home garden,1,10,76.8 +884,216.56,No barrel,0,8725,No home garden,0,5,70.6 +885,243.61,Barrel,1,35880,Home garden,1,9,75 +886,202.01,Barrel,1,21336,No home garden,0,5,65.2 +887,211.99,No barrel,0,10678,No home garden,0,5,74.6 +888,183.08,No barrel,0,2978,No home garden,0,4,68.4 +889,274.78,No barrel,0,28048,No home garden,0,2,67.8 +890,202.7,No barrel,0,12284,No home garden,0,6,71.8 +891,179.75,Barrel,1,13454,No home garden,0,6,67.2 +892,237.03,Barrel,1,22660,No home garden,0,2,73.9 +893,211.27,No barrel,0,6166,No home garden,0,4,65.3 +894,216.33,Barrel,1,32681,Home garden,1,7,73.1 +895,140.34,No barrel,0,4366,No home garden,0,5,61.3 +896,256.11,No barrel,0,27298,No home garden,0,4,70.4 +897,232.97,No barrel,0,27593,No home garden,0,4,68 +898,208,No barrel,0,23223,Home garden,1,8,65.2 +899,249.9,Barrel,1,32353,No home garden,0,1,69.3 +900,219.81,Barrel,1,26797,Home garden,1,7,70.2 +901,226.51,No barrel,0,20615,No home garden,0,3,76.8 +902,257.36,No barrel,0,18907,No home garden,0,5,73.4 +903,255.09,No barrel,0,27026,No home garden,0,5,74.6 +904,190.27,Barrel,1,16232,No home garden,0,6,75.8 +905,223.52,Barrel,1,21465,No home garden,0,2,76.5 +906,225.74,No barrel,0,25381,Home garden,1,8,66.4 +907,173.27,Barrel,1,14382,No home garden,0,6,78.3 +908,198.85,No barrel,0,12150,No home garden,0,4,66.5 +909,283.31,No barrel,0,34972,No home garden,0,5,77.8 +910,244.38,No barrel,0,17830,No home garden,0,5,72.7 +911,219.56,Barrel,1,27642,No home garden,0,3,75.8 +912,255.73,No barrel,0,25252,No home garden,0,2,71.6 +913,233.37,No barrel,0,30511,No home garden,0,5,66 +914,226.51,Barrel,1,29480,No home garden,0,4,73.4 +915,256.29,No barrel,0,37873,Home garden,1,6,67.9 +916,199.81,No barrel,0,6850,No home garden,0,3,69.3 +917,226.27,No barrel,0,20854,No home garden,0,4,74 +918,155.86,Barrel,1,18330,No home garden,0,7,63.3 +919,203.35,Barrel,1,33635,Home garden,1,6,62.8 +920,254.24,No barrel,0,16453,No home garden,0,5,75.1 +921,244.01,No barrel,0,27924,Home garden,1,8,70.4 +922,197.02,Barrel,1,21082,No home garden,0,6,76.3 +923,226.9,No barrel,0,13827,No home garden,0,7,67.1 +924,176.95,No barrel,0,4359,No home garden,0,5,64.4 +925,248.81,No barrel,0,20532,No home garden,0,6,73 +926,233.23,No barrel,0,22026,No home garden,0,7,69.8 +927,293.01,No barrel,0,29683,No home garden,0,5,72.4 +928,180.83,No barrel,0,27614,Home garden,1,8,58 +929,202.37,No barrel,0,12226,No home garden,0,6,70.4 +930,215.63,No barrel,0,19558,No home garden,0,7,68.5 +931,241.12,No barrel,0,27282,Home garden,1,7,67.4 +932,167.94,Barrel,1,15538,No home garden,0,6,67 +933,226.36,No barrel,0,7607,No home garden,0,5,67 +934,216.05,No barrel,0,21544,No home garden,0,5,65.5 +935,192.35,No barrel,0,21946,No home garden,0,5,55.6 +936,232.39,Barrel,1,24876,No home garden,0,5,73.8 +937,152.65,No barrel,0,4683,No home garden,0,8,62.5 +938,224.49,No barrel,0,22359,No home garden,0,2,62.6 +939,164.25,No barrel,0,12169,No home garden,0,7,66.9 +940,235,No barrel,0,15785,No home garden,0,5,69.5 +941,165.67,Barrel,1,10643,No home garden,0,5,68.9 +942,248.19,No barrel,0,20226,No home garden,0,4,68.1 +943,220.91,Barrel,1,27944,No home garden,0,4,72.2 +944,157,Barrel,1,8908,No home garden,0,6,66.7 +945,215.66,Barrel,1,27379,Home garden,1,7,70.8 +946,214.02,No barrel,0,12906,No home garden,0,3,75.9 +947,167.28,Barrel,1,16896,Home garden,1,9,71.2 +948,252.15,No barrel,0,27276,No home garden,0,5,70.9 +949,255.53,No barrel,0,31045,Home garden,1,6,70.2 +950,214.92,No barrel,0,10496,No home garden,0,2,70.5 +951,200.35,Barrel,1,22790,No home garden,0,2,72.6 +952,197.45,Barrel,1,25327,No home garden,0,1,65.9 +953,230.15,No barrel,0,25363,No home garden,0,4,60.8 +954,193.38,Barrel,1,32961,Home garden,1,6,63.1 +955,193.15,Barrel,1,22705,No home garden,0,2,67.1 +956,201.29,Barrel,1,18017,No home garden,0,8,74 +957,211.24,Barrel,1,22284,No home garden,0,4,62.9 +958,192.12,Barrel,1,21857,Home garden,1,8,72 +959,229.78,No barrel,0,26491,No home garden,0,5,65.5 +960,199.56,No barrel,0,23302,Home garden,1,7,59.5 +961,214.02,No barrel,0,13099,No home garden,0,4,69.4 +962,196.07,No barrel,0,14754,No home garden,0,6,68.4 +963,190.26,Barrel,1,10967,No home garden,0,5,72.3 +964,180.27,Barrel,1,17775,No home garden,0,4,69.7 +965,195.54,Barrel,1,24110,Home garden,1,8,72.3 +966,172.3,No barrel,0,3360,No home garden,0,4,56 +967,132.72,Barrel,1,10354,No home garden,0,8,69 +968,197.97,No barrel,0,19659,No home garden,0,4,62.5 +969,228.95,No barrel,0,22487,No home garden,0,6,65.2 +970,219.8,No barrel,0,31642,Home garden,1,6,66.5 +971,200.37,No barrel,0,5483,No home garden,0,7,76.8 +972,182.05,No barrel,0,4027,No home garden,0,7,75.4 +973,224.36,No barrel,0,16348,Home garden,1,9,69.8 +974,173.1,Barrel,1,15894,No home garden,0,4,66.7 +975,210.4,No barrel,0,19340,No home garden,0,6,71.2 +976,212.41,No barrel,0,13720,No home garden,0,3,69.8 +977,175.84,No barrel,0,14670,No home garden,0,7,62.4 +978,247.44,No barrel,0,16959,No home garden,0,2,70.5 +979,178.74,Barrel,1,17577,No home garden,0,6,73.3 +980,168.36,No barrel,0,8522,No home garden,0,6,63.6 +981,213.47,No barrel,0,9612,No home garden,0,8,75.8 +982,187.27,Barrel,1,23263,No home garden,0,5,69.4 +983,190.47,No barrel,0,16063,No home garden,0,7,66.6 +984,187.9,No barrel,0,18987,No home garden,0,7,59.4 +985,145.53,Barrel,1,21636,Home garden,1,9,65.6 +986,185.92,No barrel,0,18632,No home garden,0,5,64 +987,211.46,No barrel,0,11631,No home garden,0,8,70.2 +988,183.18,Barrel,1,20197,No home garden,0,6,66.3 +989,244.77,No barrel,0,23338,No home garden,0,6,72.1 +990,224.93,No barrel,0,17410,No home garden,0,3,69.6 +991,183.5,No barrel,0,9499,No home garden,0,3,60.8 +992,218.5,No barrel,0,21726,No home garden,0,5,65.9 +993,207.89,Barrel,1,18365,No home garden,0,3,75.1 +994,229.12,No barrel,0,15905,No home garden,0,5,70.6 +995,211.59,Barrel,1,19262,No home garden,0,4,74.8 +996,203.24,No barrel,0,5754,No home garden,0,7,65 +997,187.83,Barrel,1,17152,No home garden,0,4,69.8 +998,232.71,No barrel,0,32157,No home garden,0,5,69.1 +999,183.89,Barrel,1,20137,No home garden,0,3,74.8 +1000,255.38,No barrel,0,24143,No home garden,0,3,74.3 +1001,247.7,No barrel,0,17332,No home garden,0,5,78.1 +1002,238.39,No barrel,0,24896,Home garden,1,7,66.3 +1003,195.84,No barrel,0,25760,No home garden,0,6,66.4 +1004,192.77,No barrel,0,30962,No home garden,0,5,55.2 +1005,158.12,Barrel,1,9252,No home garden,0,6,72.1 +1006,213.2,No barrel,0,3750,No home garden,0,4,74.4 +1007,253.05,Barrel,1,25306,No home garden,0,5,73.6 +1008,234.32,No barrel,0,31372,No home garden,0,5,66.7 +1009,161.6,Barrel,1,15723,No home garden,0,3,68.6 +1010,213.04,No barrel,0,12614,No home garden,0,6,75.6 +1011,189.39,No barrel,0,14330,Home garden,1,9,62.1 +1012,191.8,Barrel,1,22121,No home garden,0,5,70.3 +1013,278.31,No barrel,0,29188,Home garden,1,6,70.1 +1014,183.72,Barrel,1,15760,No home garden,0,6,68.1 +1015,203.67,Barrel,1,24025,No home garden,0,3,70.4 +1016,205.19,Barrel,1,22898,No home garden,0,4,74.5 +1017,204.03,No barrel,0,14733,No home garden,0,8,67 +1018,274.01,No barrel,0,33228,No home garden,0,1,68.9 +1019,227.75,Barrel,1,21052,No home garden,0,5,78.3 +1020,202.15,Barrel,1,21863,No home garden,0,2,70.9 +1021,210,No barrel,0,21669,No home garden,0,6,70.1 +1022,185.2,No barrel,0,20772,Home garden,1,8,60.5 +1023,195.04,No barrel,0,15157,No home garden,0,7,63.8 +1024,142.43,Barrel,1,13206,Home garden,1,9,63.3 +1025,226.44,No barrel,0,29757,No home garden,0,6,65.5 +1026,258.56,No barrel,0,13091,No home garden,0,3,67.8 +1027,257.29,Barrel,1,32477,Home garden,1,8,80.8 +1028,223.79,No barrel,0,16371,No home garden,0,2,66.6 +1029,249.65,No barrel,0,12828,No home garden,0,4,72.2 +1030,208.08,No barrel,0,9805,No home garden,0,5,74 +1031,194.92,Barrel,1,16952,No home garden,0,6,75.6 +1032,156.54,Barrel,1,7986,Home garden,1,9,63.8 +1033,213.92,No barrel,0,23136,No home garden,0,4,65 +1034,289.87,No barrel,0,28484,No home garden,0,4,78.9 +1035,206.54,No barrel,0,17080,No home garden,0,6,66 +1036,234.18,Barrel,1,19544,No home garden,0,3,83 +1037,221.77,No barrel,0,27992,Home garden,1,9,72.3 +1038,214.94,Barrel,1,34266,No home garden,0,4,73.1 +1039,184.99,Barrel,1,18854,No home garden,0,2,68.5 +1040,259.47,No barrel,0,29605,No home garden,0,4,67.3 +1041,206.06,Barrel,1,14006,No home garden,0,4,73.7 +1042,191,No barrel,0,12591,No home garden,0,4,69.5 +1043,184.78,No barrel,0,6119,No home garden,0,5,65.5 +1044,186,No barrel,0,13450,No home garden,0,6,62.1 +1045,200.94,Barrel,1,27000,No home garden,0,3,67.6 +1046,206.38,Barrel,1,14410,No home garden,0,5,78.5 +1047,189.12,Barrel,1,8131,No home garden,0,6,77.8 +1048,208.03,No barrel,0,16159,No home garden,0,4,60.7 +1049,201.09,No barrel,0,16741,No home garden,0,7,62.1 +1050,173.58,Barrel,1,33445,Home garden,1,7,65.7 +1051,225.38,Barrel,1,22834,No home garden,0,3,77 +1052,214.01,Barrel,1,37069,No home garden,0,4,63.7 +1053,154.63,No barrel,0,7027,No home garden,0,5,63.3 +1054,201.55,No barrel,0,10845,No home garden,0,5,65.1 +1055,164.48,Barrel,1,11207,No home garden,0,6,72.3 +1056,225.52,No barrel,0,21747,No home garden,0,4,65.4 +1057,281.98,No barrel,0,35464,No home garden,0,2,68 +1058,189.34,Barrel,1,27188,Home garden,1,10,65.6 +1059,190.13,No barrel,0,10715,No home garden,0,8,69.3 +1060,250.17,No barrel,0,20218,No home garden,0,5,76.5 +1061,230.38,No barrel,0,5469,No home garden,0,5,77 +1062,282.42,No barrel,0,38515,No home garden,0,3,71.1 +1063,191.33,Barrel,1,19876,No home garden,0,4,66.5 +1064,171.01,No barrel,0,812,No home garden,0,4,66.7 +1065,229.47,No barrel,0,30257,Home garden,1,7,68 +1066,142.96,Barrel,1,4280,No home garden,0,5,67.5 +1067,282.57,No barrel,0,33649,Home garden,1,5,76.9 +1068,213.4,No barrel,0,16589,No home garden,0,3,68.6 +1069,192.65,Barrel,1,23615,Home garden,1,9,75.8 +1070,191.92,No barrel,0,18831,Home garden,1,8,66.4 +1071,201.44,Barrel,1,25388,No home garden,0,6,72.7 +1072,238.23,No barrel,0,14172,No home garden,0,2,72 +1073,225.12,No barrel,0,18390,No home garden,0,8,68.6 +1074,242.85,No barrel,0,23242,No home garden,0,5,62.4 +1075,238.93,No barrel,0,11722,No home garden,0,5,75.4 +1076,247.68,No barrel,0,29263,Home garden,1,6,69.9 +1077,202.81,No barrel,0,16039,No home garden,0,5,65.2 +1078,232.76,Barrel,1,36844,Home garden,1,8,72 +1079,168.96,No barrel,0,1490,No home garden,0,7,68.8 +1080,270.26,No barrel,0,38897,Home garden,1,8,64.4 +1081,190.58,Barrel,1,28530,No home garden,0,6,70.5 +1082,201.21,Barrel,1,32333,No home garden,0,4,66.9 +1083,159.5,Barrel,1,20838,No home garden,0,5,68.3 +1084,221.74,No barrel,0,22235,No home garden,0,5,71.3 +1085,249.21,No barrel,0,28199,No home garden,0,1,64.8 +1086,202.15,No barrel,0,1852,No home garden,0,5,74.7 +1087,168.22,Barrel,1,17425,Home garden,1,9,75 +1088,247.6,No barrel,0,25560,No home garden,0,5,71.2 +1089,192.87,Barrel,1,14659,No home garden,0,7,77.8 +1090,194.86,No barrel,0,17000,No home garden,0,6,66.7 +1091,260.18,No barrel,0,35508,No home garden,0,3,70.7 +1092,252.62,No barrel,0,26432,No home garden,0,4,63.6 +1093,188.49,No barrel,0,7226,No home garden,0,9,68.9 +1094,195.07,Barrel,1,19081,No home garden,0,6,78.3 +1095,208.19,Barrel,1,30303,Home garden,1,8,75.8 +1096,205.41,No barrel,0,6462,No home garden,0,5,72.4 +1097,221.4,Barrel,1,33116,Home garden,1,6,69.7 +1098,133.03,Barrel,1,6787,No home garden,0,7,67.3 +1099,208.32,No barrel,0,17606,No home garden,0,6,75.1 +1100,224.43,No barrel,0,20912,No home garden,0,5,72.2 +1101,192.35,No barrel,0,9554,No home garden,0,6,68 +1102,228.45,No barrel,0,20415,No home garden,0,7,68.2 +1103,229.51,No barrel,0,25247,No home garden,0,4,69.4 +1104,256.46,No barrel,0,18342,No home garden,0,2,73.4 +1105,138.86,Barrel,1,6949,No home garden,0,8,74.2 +1106,177.71,No barrel,0,20364,Home garden,1,8,58.6 +1107,230.6,No barrel,0,25972,No home garden,0,6,71.5 +1108,184.08,Barrel,1,17894,No home garden,0,6,74.2 +1109,164.85,Barrel,1,19135,No home garden,0,6,73.1 +1110,167.78,Barrel,1,17104,No home garden,0,6,74.6 +1111,190.2,Barrel,1,17532,No home garden,0,5,69.5 +1112,196.96,No barrel,0,5793,No home garden,0,5,70.2 +1113,176.95,Barrel,1,15662,No home garden,0,6,75 +1114,247.97,No barrel,0,26488,No home garden,0,4,74.7 +1115,222.52,No barrel,0,18915,No home garden,0,5,70.7 +1116,171.78,Barrel,1,18223,Home garden,1,10,65.8 +1117,233.51,Barrel,1,35356,No home garden,0,4,68.6 +1118,217.5,No barrel,0,16862,No home garden,0,2,68.1 +1119,198.36,No barrel,0,12841,No home garden,0,6,57.2 +1120,179.43,No barrel,0,14134,No home garden,0,8,66.3 +1121,259.39,No barrel,0,17161,No home garden,0,2,71 +1122,142.86,Barrel,1,6681,No home garden,0,6,67.9 +1123,223.5,No barrel,0,17329,No home garden,0,6,68.2 +1124,215.83,Barrel,1,23344,No home garden,0,5,70.8 +1125,205.54,No barrel,0,10890,No home garden,0,7,72.7 +1126,182.71,Barrel,1,9176,No home garden,0,5,77 +1127,207.19,No barrel,0,21292,No home garden,0,4,61.2 +1128,200.43,No barrel,0,11011,No home garden,0,9,63.1 +1129,299.66,No barrel,0,36433,No home garden,0,3,77.5 +1130,240.34,Barrel,1,36823,Home garden,1,9,73.5 +1131,140.73,Barrel,1,7203,No home garden,0,6,67.1 +1132,222.54,Barrel,1,23342,No home garden,0,3,72.2 +1133,208.41,No barrel,0,18494,No home garden,0,6,70.1 +1134,194.16,No barrel,0,23099,Home garden,1,10,67.2 +1135,181.65,No barrel,0,26037,Home garden,1,10,62.3 +1136,198.05,No barrel,0,12385,No home garden,0,3,69.3 +1137,193.87,Barrel,1,27213,Home garden,1,6,62.3 +1138,271.18,Barrel,1,30495,No home garden,0,3,80.8 +1139,224.09,No barrel,0,15881,No home garden,0,6,70.5 +1140,127.26,Barrel,1,7853,No home garden,0,6,68.6 +1141,190.49,No barrel,0,15889,No home garden,0,8,66.3 +1142,208.47,No barrel,0,17855,No home garden,0,4,67 +1143,195.23,Barrel,1,27079,Home garden,1,9,69.2 +1144,264.22,No barrel,0,31899,Home garden,1,8,74.9 +1145,282.15,No barrel,0,35073,Home garden,1,6,68 +1146,207.68,No barrel,0,13255,No home garden,0,5,68.6 +1147,239.91,No barrel,0,26485,No home garden,0,4,61.4 +1148,209.97,No barrel,0,26003,Home garden,1,6,58 +1149,268.55,No barrel,0,30258,Home garden,1,6,69.8 +1150,203.51,Barrel,1,16949,No home garden,0,7,76.7 +1151,194.85,No barrel,0,9033,No home garden,0,5,62.1 +1152,189.47,Barrel,1,31747,Home garden,1,6,75.1 +1153,214.85,Barrel,1,25924,No home garden,0,6,77.3 +1154,243.61,Barrel,1,37492,Home garden,1,5,75.2 +1155,198.8,No barrel,0,7541,No home garden,0,4,64.1 +1156,202.94,No barrel,0,27232,Home garden,1,7,59.7 +1157,236.01,No barrel,0,29722,Home garden,1,9,67.8 +1158,260.95,No barrel,0,26075,No home garden,0,2,65.9 +1159,239.17,No barrel,0,14384,No home garden,0,4,73.5 +1160,241.96,Barrel,1,29123,No home garden,0,4,81.7 +1161,233.16,No barrel,0,28459,Home garden,1,10,66.7 +1162,189.1,Barrel,1,22834,No home garden,0,5,69.2 +1163,255.35,No barrel,0,33570,Home garden,1,6,71.4 +1164,215.98,No barrel,0,22424,No home garden,0,4,61.7 +1165,201.79,Barrel,1,21779,No home garden,0,2,75.2 +1166,203.76,Barrel,1,21376,No home garden,0,4,64.1 +1167,264.42,No barrel,0,32310,Home garden,1,5,69.6 +1168,213.35,No barrel,0,15678,No home garden,0,4,73.7 +1169,220.01,No barrel,0,14919,No home garden,0,3,67.1 +1170,205.04,Barrel,1,24458,Home garden,1,9,69.9 +1171,234.22,No barrel,0,28436,No home garden,0,4,64.3 +1172,208.5,No barrel,0,16990,No home garden,0,5,66.9 +1173,249.38,No barrel,0,19676,No home garden,0,2,74.1 +1174,183.69,Barrel,1,25296,Home garden,1,9,75.3 +1175,264.78,No barrel,0,37279,Home garden,1,9,75.3 +1176,185.82,Barrel,1,20088,No home garden,0,7,60.3 +1177,221.92,Barrel,1,35177,Home garden,1,6,71.7 +1178,181.95,Barrel,1,13960,No home garden,0,6,75.8 +1179,253.64,No barrel,0,30159,Home garden,1,6,66.1 +1180,221.99,No barrel,0,24874,No home garden,0,6,67.2 +1181,257.1,No barrel,0,20654,No home garden,0,2,73 +1182,229.27,Barrel,1,31502,Home garden,1,7,77.5 +1183,229.71,Barrel,1,39137,Home garden,1,5,70.1 +1184,275.45,No barrel,0,25517,No home garden,0,4,79.3 +1185,274.7,Barrel,1,36472,No home garden,0,3,80.5 +1186,246.32,No barrel,0,36220,No home garden,0,3,58.9 +1187,220.97,Barrel,1,28104,No home garden,0,4,66.2 +1188,232.23,No barrel,0,29173,Home garden,1,7,71.5 +1189,226.82,No barrel,0,25607,No home garden,0,5,70.2 +1190,185.56,Barrel,1,18508,Home garden,1,9,78.1 +1191,200.29,No barrel,0,17968,No home garden,0,5,71.8 +1192,190.39,No barrel,0,20285,No home garden,0,2,61.6 +1193,218.75,Barrel,1,26344,No home garden,0,6,72.6 +1194,255.96,No barrel,0,31885,Home garden,1,7,71.2 +1195,216.08,Barrel,1,29816,No home garden,0,5,71.6 +1196,234.08,No barrel,0,22185,No home garden,0,4,69.5 +1197,224.64,No barrel,0,14517,No home garden,0,2,70.9 +1198,234.21,Barrel,1,36876,Home garden,1,5,77.7 +1199,258.38,No barrel,0,31655,No home garden,0,4,67.1 +1200,248.5,No barrel,0,13989,No home garden,0,5,73.2 +1201,221.24,No barrel,0,22183,No home garden,0,6,64.3 +1202,252.95,No barrel,0,17451,No home garden,0,6,69.7 +1203,222.28,No barrel,0,23782,No home garden,0,2,66.7 +1204,185.68,No barrel,0,2969,No home garden,0,5,71 +1205,249.85,No barrel,0,24186,No home garden,0,3,73.1 +1206,202.03,Barrel,1,21118,No home garden,0,6,65 +1207,211.35,No barrel,0,20995,No home garden,0,5,60 +1208,244.11,No barrel,0,25062,Home garden,1,8,75.2 +1209,227.8,No barrel,0,16219,No home garden,0,4,64.6 +1210,180.67,No barrel,0,19122,Home garden,1,8,60.4 +1211,169.63,No barrel,0,16677,Home garden,1,9,67.2 +1212,253.36,No barrel,0,23348,No home garden,0,4,74.2 +1213,180.24,Barrel,1,6868,No home garden,0,3,76 +1214,195.72,Barrel,1,11485,No home garden,0,3,77.4 +1215,178.1,Barrel,1,25572,Home garden,1,6,64.4 +1216,229.36,Barrel,1,28748,No home garden,0,4,70.2 +1217,208.4,No barrel,0,14181,No home garden,0,5,70.1 +1218,194.93,No barrel,0,9817,No home garden,0,3,64.2 +1219,160.82,Barrel,1,14859,No home garden,0,6,65 +1220,195.92,No barrel,0,10522,No home garden,0,4,70.6 +1221,211.45,No barrel,0,16007,No home garden,0,3,71 +1222,178.36,Barrel,1,24923,Home garden,1,8,68.3 +1223,255.21,No barrel,0,19859,No home garden,0,2,71 +1224,210.88,No barrel,0,9177,No home garden,0,2,72.6 +1225,199.99,No barrel,0,11933,No home garden,0,4,77.6 +1226,231.93,No barrel,0,25745,No home garden,0,2,69.6 +1227,225.27,No barrel,0,22408,No home garden,0,7,70.4 +1228,217.3,No barrel,0,18781,No home garden,0,5,73.5 +1229,270.4,No barrel,0,35488,No home garden,0,5,67.5 +1230,198.83,Barrel,1,22899,No home garden,0,6,69.1 +1231,230.57,No barrel,0,15576,No home garden,0,3,68.1 +1232,198.18,No barrel,0,19180,No home garden,0,7,67.1 +1233,210.29,Barrel,1,26335,No home garden,0,3,72.4 +1234,158.35,Barrel,1,9336,No home garden,0,4,71.6 +1235,261.36,No barrel,0,35610,No home garden,0,1,63 +1236,251.97,Barrel,1,29783,No home garden,0,5,70.5 +1237,208.3,No barrel,0,13387,No home garden,0,4,66.9 +1238,247.53,No barrel,0,22504,No home garden,0,3,72.7 +1239,218.15,Barrel,1,37900,Home garden,1,6,71.4 +1240,236.39,No barrel,0,23959,No home garden,0,4,70.2 +1241,271.18,No barrel,0,22785,No home garden,0,3,78.1 diff --git a/docs/_site/files/data/generated_data/barrels_rct.csv b/docs/_site/files/data/generated_data/barrels_rct.csv new file mode 100644 index 00000000..0e489d26 --- /dev/null +++ b/docs/_site/files/data/generated_data/barrels_rct.csv @@ -0,0 +1,494 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,209.12,Barrel,1,25811,No home garden,0,3,68.5 +2,238.39,Barrel,1,39479,Home garden,1,7,77.4 +3,163.66,Barrel,1,13297,No home garden,0,7,65.1 +4,226,Barrel,1,28259,No home garden,0,2,65.7 +5,232.44,No barrel,0,21479,No home garden,0,5,65.7 +6,278.74,No barrel,0,28906,Home garden,1,8,76.9 +7,224.34,No barrel,0,7041,No home garden,0,3,70.9 +8,185.67,Barrel,1,29434,No home garden,0,4,56.1 +9,198.91,Barrel,1,24779,Home garden,1,8,70.1 +10,172.29,Barrel,1,29741,Home garden,1,9,62.2 +11,224.8,No barrel,0,16931,No home garden,0,8,73.3 +12,227.06,No barrel,0,10357,No home garden,0,9,81.8 +13,158.02,Barrel,1,16071,No home garden,0,6,67.2 +14,226.37,No barrel,0,14977,No home garden,0,6,70.5 +15,209.08,No barrel,0,13053,No home garden,0,3,71 +16,244.47,No barrel,0,24206,No home garden,0,5,71.3 +17,186.44,No barrel,0,14641,No home garden,0,9,67.6 +18,229.73,No barrel,0,15519,No home garden,0,3,70.7 +19,189.76,No barrel,0,6782,No home garden,0,9,67.4 +20,186.18,Barrel,1,19185,No home garden,0,5,72.2 +21,251.2,No barrel,0,26319,Home garden,1,7,73.4 +22,257.97,No barrel,0,35468,Home garden,1,8,66.2 +23,253.07,Barrel,1,35299,No home garden,0,3,70.4 +24,159.37,Barrel,1,8066,No home garden,0,9,77 +25,138.33,Barrel,1,9509,No home garden,0,6,64.3 +26,224.06,No barrel,0,21281,No home garden,0,2,61.8 +27,163.04,Barrel,1,20160,No home garden,0,2,54.4 +28,220.33,Barrel,1,28510,Home garden,1,7,75.9 +29,193.11,No barrel,0,3815,No home garden,0,6,68.2 +30,227.04,No barrel,0,11933,No home garden,0,4,76.1 +31,233.86,Barrel,1,36989,Home garden,1,6,66.5 +32,220.97,No barrel,0,13489,No home garden,0,5,76.8 +33,220.47,No barrel,0,17570,No home garden,0,3,74.5 +34,172.41,Barrel,1,17197,No home garden,0,3,65.3 +35,236.16,No barrel,0,37644,Home garden,1,6,66.8 +36,261.62,No barrel,0,33476,Home garden,1,8,72.4 +37,213.66,Barrel,1,24009,No home garden,0,1,73.8 +38,177.04,Barrel,1,10880,No home garden,0,4,72.1 +39,200.26,Barrel,1,31316,Home garden,1,7,71.8 +40,269.7,No barrel,0,34542,Home garden,1,6,72.5 +41,174.04,Barrel,1,14983,No home garden,0,5,73.3 +42,215.76,No barrel,0,27877,Home garden,1,9,64 +43,196.76,Barrel,1,27994,No home garden,0,5,69.9 +44,184.51,Barrel,1,15527,No home garden,0,2,67.8 +45,226.97,No barrel,0,13715,No home garden,0,8,75.2 +46,254.77,No barrel,0,28308,No home garden,0,2,70.9 +47,239.8,No barrel,0,26454,No home garden,0,5,65.1 +48,287.15,No barrel,0,29906,No home garden,0,4,79.1 +49,170.2,No barrel,0,18501,Home garden,1,9,63.8 +50,174.67,Barrel,1,26720,No home garden,0,5,65.2 +51,221.79,Barrel,1,35343,Home garden,1,6,65.8 +52,207.99,Barrel,1,12211,No home garden,0,6,83.8 +53,274.21,No barrel,0,28904,Home garden,1,7,71.3 +54,214,No barrel,0,13592,No home garden,0,6,66.8 +55,139.61,Barrel,1,12990,No home garden,0,4,69.4 +56,203.03,No barrel,0,9363,No home garden,0,7,69.2 +57,208.71,Barrel,1,27521,Home garden,1,7,68.5 +58,254,No barrel,0,24539,No home garden,0,4,68.4 +59,235.48,No barrel,0,26410,No home garden,0,4,65.7 +60,185.66,No barrel,0,12062,No home garden,0,6,67.9 +61,196.37,Barrel,1,32672,No home garden,0,4,64.6 +62,247.88,No barrel,0,34827,Home garden,1,6,75.7 +63,211.09,Barrel,1,24811,No home garden,0,3,70.1 +64,147.5,Barrel,1,13646,No home garden,0,6,65.9 +65,223.8,Barrel,1,20140,No home garden,0,3,74.4 +66,227.88,No barrel,0,24714,No home garden,0,4,68.2 +67,201.84,Barrel,1,11316,No home garden,0,8,76.3 +68,243.97,No barrel,0,23572,No home garden,0,4,70.6 +69,202.1,Barrel,1,29730,No home garden,0,5,68.4 +70,145.9,Barrel,1,12860,No home garden,0,6,62.4 +71,167.67,Barrel,1,13761,No home garden,0,6,78.3 +72,182.36,Barrel,1,25221,No home garden,0,4,61.9 +73,234.83,No barrel,0,31993,Home garden,1,6,70.2 +74,241.64,No barrel,0,31952,No home garden,0,5,68.5 +75,247.06,No barrel,0,36695,Home garden,1,5,61.8 +76,179.13,Barrel,1,16829,No home garden,0,1,65.9 +77,188.45,Barrel,1,26067,Home garden,1,8,68.8 +78,196.54,Barrel,1,23897,No home garden,0,7,63 +79,209.38,Barrel,1,34248,Home garden,1,7,67.6 +80,242.18,No barrel,0,28608,Home garden,1,7,73.1 +81,140.48,Barrel,1,4832,No home garden,0,8,67.8 +82,213.61,Barrel,1,24637,Home garden,1,7,68.4 +83,230.77,No barrel,0,29531,Home garden,1,6,66.1 +84,201.43,No barrel,0,18565,No home garden,0,5,66.7 +85,223.31,No barrel,0,19108,No home garden,0,1,70.8 +86,267.9,No barrel,0,30574,Home garden,1,6,66.2 +87,206.89,Barrel,1,20286,No home garden,0,4,76.9 +88,177.22,Barrel,1,16218,No home garden,0,4,71.4 +89,164.04,Barrel,1,18107,No home garden,0,7,63.8 +90,200.85,No barrel,0,23129,Home garden,1,8,71.8 +91,211.74,Barrel,1,17230,Home garden,1,9,75.4 +92,153.7,Barrel,1,24724,Home garden,1,8,61.4 +93,213.76,No barrel,0,12219,No home garden,0,2,69.6 +94,185.25,Barrel,1,27721,Home garden,1,6,71.2 +95,180.83,Barrel,1,18977,No home garden,0,4,73 +96,232.74,Barrel,1,25067,Home garden,1,7,79.4 +97,215.43,Barrel,1,27990,Home garden,1,6,71.9 +98,217.37,Barrel,1,16333,No home garden,0,6,79.2 +99,237.21,No barrel,0,26412,No home garden,0,6,65.9 +100,195.3,No barrel,0,6261,No home garden,0,6,63.2 +101,207.69,No barrel,0,22827,No home garden,0,3,65.6 +102,227.11,Barrel,1,28279,No home garden,0,4,69.2 +103,186.57,Barrel,1,18408,No home garden,0,7,69.6 +104,154.95,Barrel,1,11176,No home garden,0,6,66.5 +105,161.4,Barrel,1,10682,No home garden,0,7,73.4 +106,209.59,Barrel,1,25144,No home garden,0,4,75 +107,196.25,Barrel,1,22087,No home garden,0,6,69.2 +108,209.29,Barrel,1,33313,Home garden,1,8,65.8 +109,197.94,No barrel,0,26079,No home garden,0,5,54.7 +110,251.86,No barrel,0,21691,No home garden,0,5,68.5 +111,164.68,Barrel,1,24941,Home garden,1,10,65.8 +112,246.76,No barrel,0,28018,Home garden,1,8,74.9 +113,221.33,Barrel,1,26331,Home garden,1,8,73.7 +114,251.75,No barrel,0,32150,No home garden,0,4,70.1 +115,171.61,Barrel,1,27143,No home garden,0,5,67.6 +116,145.34,Barrel,1,15679,Home garden,1,9,70.7 +117,204,Barrel,1,34956,No home garden,0,3,71.3 +118,163.23,Barrel,1,23506,No home garden,0,4,63.8 +119,217.96,No barrel,0,21556,No home garden,0,4,62.2 +120,217.18,No barrel,0,11430,No home garden,0,2,66.9 +121,210.62,Barrel,1,19677,No home garden,0,5,73.1 +122,216.99,Barrel,1,28299,No home garden,0,4,70.4 +123,202,No barrel,0,14878,No home garden,0,5,71.4 +124,224.21,Barrel,1,19757,No home garden,0,5,76.2 +125,163.89,Barrel,1,24519,No home garden,0,5,65.2 +126,238.1,Barrel,1,27526,No home garden,0,6,74.7 +127,181.33,Barrel,1,22271,No home garden,0,6,76 +128,229.81,No barrel,0,17550,No home garden,0,3,72.7 +129,270.49,No barrel,0,22228,No home garden,0,3,72.5 +130,207.26,Barrel,1,18875,No home garden,0,2,70.3 +131,266.46,No barrel,0,28731,No home garden,0,3,74.8 +132,173.71,Barrel,1,19544,No home garden,0,7,70.9 +133,235.87,Barrel,1,28653,No home garden,0,4,76 +134,119.5,Barrel,1,14885,No home garden,0,7,62.9 +135,158.89,Barrel,1,27255,No home garden,0,5,55.2 +136,191.23,Barrel,1,22252,No home garden,0,5,68.3 +137,233.08,Barrel,1,16299,No home garden,0,3,79.8 +138,275.78,No barrel,0,28339,No home garden,0,4,74.2 +139,231.46,No barrel,0,31862,Home garden,1,6,66.7 +140,230.23,Barrel,1,25688,No home garden,0,5,74.9 +141,177.86,Barrel,1,23795,Home garden,1,10,72.6 +142,223.81,Barrel,1,26763,No home garden,0,5,79.4 +143,205.84,No barrel,0,20645,No home garden,0,6,74.5 +144,184.87,Barrel,1,11961,No home garden,0,4,68.8 +145,192.3,No barrel,0,17118,No home garden,0,8,64.9 +146,211.11,Barrel,1,28364,Home garden,1,6,70.8 +147,178.91,Barrel,1,7939,No home garden,0,7,74 +148,286.43,No barrel,0,32363,No home garden,0,2,79.8 +149,198.59,Barrel,1,20559,No home garden,0,3,73.2 +150,216.86,No barrel,0,22450,No home garden,0,7,70.2 +151,159.37,Barrel,1,21992,No home garden,0,4,68.1 +152,234.05,Barrel,1,27979,No home garden,0,2,69.9 +153,152.01,Barrel,1,6885,No home garden,0,7,70.6 +154,245.65,No barrel,0,30342,Home garden,1,7,71.7 +155,271.27,No barrel,0,18034,No home garden,0,5,79 +156,140.48,Barrel,1,3635,No home garden,0,4,75.4 +157,149.6,Barrel,1,13369,No home garden,0,2,63.5 +158,198.7,No barrel,0,20765,No home garden,0,7,66.3 +159,172.47,Barrel,1,20211,No home garden,0,5,66.6 +160,153.03,Barrel,1,6049,No home garden,0,6,71 +161,217.31,Barrel,1,28028,No home garden,0,6,74.4 +162,197.46,Barrel,1,24006,Home garden,1,8,70.2 +163,238.04,Barrel,1,22052,No home garden,0,4,77.3 +164,218.8,Barrel,1,27177,No home garden,0,6,76.4 +165,207.38,No barrel,0,20355,Home garden,1,8,64.1 +166,184.1,No barrel,0,9577,No home garden,0,9,64 +167,235.13,Barrel,1,34602,No home garden,0,4,80 +168,246.59,No barrel,0,24962,No home garden,0,5,69.1 +169,113.6,Barrel,1,7522,No home garden,0,9,67.4 +170,284.35,No barrel,0,30832,No home garden,0,3,77 +171,215.45,Barrel,1,33357,Home garden,1,8,73.2 +172,235.83,No barrel,0,28891,No home garden,0,4,64.2 +173,152.72,Barrel,1,7664,No home garden,0,7,67 +174,241.28,No barrel,0,22879,No home garden,0,1,65.7 +175,236,No barrel,0,32797,Home garden,1,9,70.7 +176,167.92,Barrel,1,6317,No home garden,0,3,71.5 +177,234.85,Barrel,1,38750,No home garden,0,4,69.4 +178,158.23,Barrel,1,10549,No home garden,0,6,74 +179,187.68,Barrel,1,16835,No home garden,0,2,68.4 +180,206.54,Barrel,1,29641,No home garden,0,5,57.8 +181,154.67,No barrel,0,1950,No home garden,0,7,63.2 +182,231.45,No barrel,0,21646,No home garden,0,4,71.3 +183,238.22,No barrel,0,31386,No home garden,0,5,61.1 +184,235.17,No barrel,0,23409,No home garden,0,5,67.9 +185,247.5,Barrel,1,36306,No home garden,0,3,83.1 +186,194.42,Barrel,1,14235,No home garden,0,8,77 +187,231.43,No barrel,0,19422,No home garden,0,3,66.3 +188,172.16,Barrel,1,19659,No home garden,0,5,72.3 +189,277.56,No barrel,0,24669,No home garden,0,5,76.7 +190,207.28,No barrel,0,14662,No home garden,0,5,71.9 +191,214.15,Barrel,1,24369,No home garden,0,4,74.5 +192,235.35,Barrel,1,36826,Home garden,1,7,76.9 +193,169.86,No barrel,0,17097,No home garden,0,6,63.7 +194,199.68,No barrel,0,14804,No home garden,0,5,69.3 +195,163.95,Barrel,1,20895,No home garden,0,7,64.6 +196,245.3,No barrel,0,23453,No home garden,0,4,73.7 +197,233.04,No barrel,0,15292,No home garden,0,4,71.2 +198,154.31,Barrel,1,11943,No home garden,0,4,64.5 +199,229.06,No barrel,0,39000,Home garden,1,4,62.7 +200,207.62,No barrel,0,24622,Home garden,1,7,66.1 +201,146.11,Barrel,1,12524,No home garden,0,4,66 +202,121.2,Barrel,1,7235,No home garden,0,9,66.4 +203,211.83,No barrel,0,19168,No home garden,0,6,68.7 +204,199.43,Barrel,1,28649,Home garden,1,8,74.5 +205,166.22,Barrel,1,17615,No home garden,0,3,67.3 +206,198.62,Barrel,1,24905,Home garden,1,8,76.3 +207,222.6,No barrel,0,29426,Home garden,1,7,71.7 +208,235.43,No barrel,0,22186,No home garden,0,5,69.7 +209,179.06,Barrel,1,24699,Home garden,1,8,72.1 +210,143.27,Barrel,1,16278,No home garden,0,8,65.4 +211,241.88,No barrel,0,30939,Home garden,1,9,67.3 +212,215.19,Barrel,1,28699,No home garden,0,6,69.6 +213,227.09,No barrel,0,22377,No home garden,0,5,69.9 +214,228.36,No barrel,0,25072,No home garden,0,5,67.2 +215,191,Barrel,1,17516,No home garden,0,7,72.8 +216,242.12,No barrel,0,24901,Home garden,1,9,75.9 +217,162.93,No barrel,0,3797,No home garden,0,7,65.2 +218,147.43,Barrel,1,12596,No home garden,0,5,68.6 +219,228.73,Barrel,1,29474,Home garden,1,7,74.3 +220,222.53,No barrel,0,20795,Home garden,1,8,69.1 +221,255.51,No barrel,0,21396,No home garden,0,5,72.6 +222,215,No barrel,0,11609,No home garden,0,7,73.5 +223,258.54,No barrel,0,26493,No home garden,0,4,76.8 +224,156.36,Barrel,1,12809,No home garden,0,7,65.5 +225,162.7,Barrel,1,13605,No home garden,0,7,66.8 +226,218.3,Barrel,1,26145,No home garden,0,5,70.7 +227,139.86,Barrel,1,572,No home garden,0,9,66.3 +228,247.65,No barrel,0,28862,No home garden,0,4,67 +229,266.93,No barrel,0,28305,No home garden,0,4,75.4 +230,170.07,Barrel,1,22778,Home garden,1,8,67.1 +231,246.68,No barrel,0,28042,No home garden,0,6,75.5 +232,213.98,Barrel,1,20065,No home garden,0,3,77 +233,184.08,No barrel,0,8463,No home garden,0,6,70.2 +234,211.87,Barrel,1,19207,No home garden,0,3,79.6 +235,167.48,Barrel,1,22067,Home garden,1,8,63.7 +236,170.19,Barrel,1,12730,No home garden,0,3,64 +237,177.81,Barrel,1,23102,No home garden,0,5,62.5 +238,198.47,Barrel,1,25148,Home garden,1,7,73.6 +239,254.68,No barrel,0,29420,No home garden,0,5,67.3 +240,267.82,No barrel,0,27732,No home garden,0,5,70.1 +241,223.48,Barrel,1,26237,No home garden,0,4,67.8 +242,184.77,Barrel,1,16245,No home garden,0,2,65.5 +243,205.78,Barrel,1,20156,No home garden,0,4,76.4 +244,196.29,Barrel,1,12116,No home garden,0,3,69.6 +245,177.52,Barrel,1,27499,No home garden,0,4,57.7 +246,251.84,Barrel,1,29061,No home garden,0,3,74.5 +247,173.98,Barrel,1,16866,No home garden,0,8,73.8 +248,181.66,Barrel,1,14483,No home garden,0,7,71.3 +249,205.85,No barrel,0,20120,No home garden,0,7,75.8 +250,164.38,Barrel,1,17426,No home garden,0,8,71.2 +251,231.16,No barrel,0,10322,No home garden,0,6,81.1 +252,167.63,Barrel,1,10334,No home garden,0,6,65.7 +253,249.36,No barrel,0,31526,Home garden,1,6,73.7 +254,195.66,No barrel,0,14850,No home garden,0,5,68.4 +255,184.56,Barrel,1,13115,No home garden,0,3,65.8 +256,208.42,Barrel,1,29775,No home garden,0,5,71.2 +257,213.56,No barrel,0,24220,No home garden,0,5,64.2 +258,233.57,No barrel,0,17341,No home garden,0,4,69.9 +259,240.53,No barrel,0,23242,No home garden,0,6,63.5 +260,286.79,No barrel,0,38900,Home garden,1,7,71 +261,171.92,Barrel,1,12636,No home garden,0,5,72.5 +262,206.97,Barrel,1,25900,Home garden,1,7,74.1 +263,205.2,Barrel,1,30876,Home garden,1,6,64.2 +264,244.36,Barrel,1,38559,Home garden,1,6,72.2 +265,143.54,Barrel,1,11182,No home garden,0,6,67.6 +266,237.98,No barrel,0,25847,No home garden,0,4,70.2 +267,259.23,No barrel,0,16846,No home garden,0,2,74.6 +268,202.09,Barrel,1,21089,No home garden,0,6,71.7 +269,151.88,Barrel,1,11424,No home garden,0,4,61.8 +270,236.68,Barrel,1,34542,No home garden,0,3,69.6 +271,211.02,No barrel,0,22464,Home garden,1,7,68.2 +272,211.26,No barrel,0,11423,No home garden,0,4,74.6 +273,205.76,No barrel,0,26701,No home garden,0,5,65.1 +274,185.18,Barrel,1,13528,No home garden,0,2,66.9 +275,202.92,Barrel,1,30111,Home garden,1,7,73.7 +276,180.99,No barrel,0,7301,No home garden,0,9,62.8 +277,202.46,Barrel,1,19713,No home garden,0,2,66.8 +278,220.91,No barrel,0,15397,No home garden,0,6,75.5 +279,199.05,No barrel,0,24008,Home garden,1,7,57.2 +280,251.89,Barrel,1,36530,No home garden,0,3,65.6 +281,242.46,No barrel,0,22268,Home garden,1,8,75.7 +282,175.14,Barrel,1,22842,No home garden,0,7,73.2 +283,194.89,No barrel,0,5676,No home garden,0,3,67 +284,207.72,No barrel,0,19227,No home garden,0,5,63.3 +285,247.36,No barrel,0,12084,No home garden,0,5,72.7 +286,221.84,No barrel,0,20179,No home garden,0,7,72.1 +287,188.49,No barrel,0,13680,No home garden,0,4,67.8 +288,205.89,Barrel,1,29663,Home garden,1,7,68.6 +289,200.66,Barrel,1,9402,No home garden,0,4,70.9 +290,111.58,Barrel,1,4957,No home garden,0,10,72.3 +291,161.16,Barrel,1,5772,No home garden,0,5,73.4 +292,187.42,Barrel,1,25044,Home garden,1,8,66.9 +293,209.99,No barrel,0,9163,No home garden,0,5,73.6 +294,191.23,No barrel,0,11746,No home garden,0,3,68.5 +295,252.14,Barrel,1,36012,No home garden,0,4,74.6 +296,177.33,No barrel,0,19909,No home garden,0,7,58.4 +297,167.03,Barrel,1,13791,No home garden,0,3,71.7 +298,187.81,No barrel,0,17166,Home garden,1,8,68.7 +299,198.57,Barrel,1,32059,No home garden,0,4,74.9 +300,231.49,No barrel,0,15538,No home garden,0,8,74 +301,232.52,No barrel,0,24576,No home garden,0,6,67.6 +302,208.64,Barrel,1,36060,Home garden,1,8,65.2 +303,162.41,Barrel,1,14428,No home garden,0,4,65.1 +304,101.26,Barrel,1,16403,No home garden,0,6,59.6 +305,194.97,Barrel,1,15809,No home garden,0,7,74.1 +306,193.42,Barrel,1,16009,No home garden,0,3,74.1 +307,213.12,No barrel,0,22192,Home garden,1,10,65.5 +308,266.1,No barrel,0,32695,Home garden,1,8,73 +309,234.76,No barrel,0,26563,Home garden,1,8,73.6 +310,253.2,No barrel,0,20250,No home garden,0,4,76.9 +311,210.04,No barrel,0,19129,No home garden,0,2,67.6 +312,267.01,No barrel,0,36691,Home garden,1,10,71.7 +313,145.63,Barrel,1,19936,Home garden,1,9,66.8 +314,275.26,No barrel,0,30956,No home garden,0,4,77.2 +315,192.9,No barrel,0,9035,No home garden,0,5,71.5 +316,207.12,Barrel,1,25321,No home garden,0,6,71.4 +317,185.11,Barrel,1,21845,No home garden,0,7,71.1 +318,142.82,Barrel,1,18141,No home garden,0,6,60 +319,210.66,No barrel,0,17294,Home garden,1,8,62.5 +320,182.06,Barrel,1,24703,Home garden,1,10,66.7 +321,206.6,No barrel,0,26873,Home garden,1,7,61.3 +322,178.8,Barrel,1,23680,Home garden,1,10,72.2 +323,237.5,Barrel,1,32314,No home garden,0,4,76.6 +324,252.24,No barrel,0,26245,No home garden,0,6,69.3 +325,204.38,No barrel,0,21201,No home garden,0,6,69.3 +326,227.1,Barrel,1,31968,No home garden,0,2,69.6 +327,249.2,No barrel,0,21966,No home garden,0,6,78.1 +328,238.55,No barrel,0,21619,No home garden,0,3,73.6 +329,262.91,No barrel,0,29348,No home garden,0,5,75.2 +330,228.45,No barrel,0,17334,No home garden,0,6,73.2 +331,221.84,No barrel,0,22451,Home garden,1,8,67.7 +332,177.4,Barrel,1,23481,Home garden,1,8,67.5 +333,189.1,Barrel,1,11152,No home garden,0,6,79.1 +334,189.52,Barrel,1,13522,No home garden,0,2,72.9 +335,275.7,No barrel,0,18675,No home garden,0,2,70.8 +336,218.46,No barrel,0,29744,Home garden,1,6,67.3 +337,188.22,Barrel,1,29141,Home garden,1,9,72.5 +338,151.03,Barrel,1,18130,No home garden,0,6,61.7 +339,200.19,No barrel,0,9674,No home garden,0,7,64.5 +340,170.18,Barrel,1,2995,No home garden,0,7,69.4 +341,170.78,Barrel,1,17610,No home garden,0,4,67.5 +342,145.01,Barrel,1,5752,No home garden,0,5,67 +343,157.96,Barrel,1,18593,No home garden,0,5,67.1 +344,255.89,Barrel,1,31806,No home garden,0,4,77.6 +345,150.54,Barrel,1,4582,No home garden,0,7,67.5 +346,253.99,Barrel,1,27107,Home garden,1,7,78.2 +347,212.76,Barrel,1,20361,No home garden,0,6,74.8 +348,167.34,Barrel,1,11789,No home garden,0,7,74.7 +349,239.61,No barrel,0,22098,No home garden,0,4,67.7 +350,162.49,Barrel,1,9797,No home garden,0,3,59.8 +351,241.19,Barrel,1,28685,Home garden,1,7,78.7 +352,221.59,Barrel,1,23137,No home garden,0,2,71.4 +353,186.52,Barrel,1,17442,No home garden,0,5,76.7 +354,138.14,Barrel,1,2082,No home garden,0,6,72.5 +355,163.98,Barrel,1,1886,No home garden,0,6,73.3 +356,192.42,Barrel,1,19408,No home garden,0,3,67.9 +357,204.77,Barrel,1,15740,No home garden,0,2,65.6 +358,139.69,Barrel,1,10330,No home garden,0,8,68.4 +359,243.61,No barrel,0,23610,Home garden,1,8,73.2 +360,150.08,Barrel,1,10932,No home garden,0,5,66.8 +361,210.29,No barrel,0,11705,No home garden,0,4,67.4 +362,279.24,No barrel,0,36420,Home garden,1,7,66.9 +363,282.31,No barrel,0,37060,Home garden,1,8,76.9 +364,234.9,No barrel,0,20577,No home garden,0,3,74.5 +365,194.45,No barrel,0,13606,No home garden,0,6,69.8 +366,186.22,Barrel,1,24182,No home garden,0,7,64.9 +367,164.49,Barrel,1,8218,No home garden,0,3,67 +368,235.68,No barrel,0,28461,Home garden,1,6,70.3 +369,150.77,Barrel,1,11640,No home garden,0,4,71.2 +370,151.53,Barrel,1,6801,No home garden,0,5,64.5 +371,186.93,Barrel,1,19448,No home garden,0,5,64.1 +372,178.4,Barrel,1,20970,No home garden,0,6,65.1 +373,193.37,Barrel,1,21163,No home garden,0,1,69 +374,175.72,Barrel,1,17070,No home garden,0,3,66.5 +375,141.2,Barrel,1,30536,Home garden,1,10,58.3 +376,191.69,No barrel,0,982,No home garden,0,7,72.8 +377,249,No barrel,0,19660,No home garden,0,3,70.1 +378,184.1,Barrel,1,22161,Home garden,1,9,81.1 +379,264.43,No barrel,0,31622,No home garden,0,4,65 +380,225.46,No barrel,0,8157,No home garden,0,7,70.9 +381,178.21,Barrel,1,13119,No home garden,0,5,73 +382,198.78,Barrel,1,24252,No home garden,0,5,73.1 +383,225.73,No barrel,0,17648,No home garden,0,5,75.3 +384,149.1,Barrel,1,3478,No home garden,0,4,61.6 +385,209.95,Barrel,1,27011,No home garden,0,4,69.7 +386,180.57,Barrel,1,16246,No home garden,0,3,66.3 +387,187.03,Barrel,1,13220,No home garden,0,3,71.3 +388,213.72,No barrel,0,29814,Home garden,1,10,68.7 +389,206.81,Barrel,1,32031,Home garden,1,7,72.1 +390,227.54,No barrel,0,19079,No home garden,0,3,63.3 +391,238.06,Barrel,1,31389,No home garden,0,3,76.8 +392,205,Barrel,1,16959,No home garden,0,3,74.5 +393,216.6,Barrel,1,34034,Home garden,1,9,71.1 +394,189.05,No barrel,0,14242,No home garden,0,7,65.4 +395,226.08,No barrel,0,7896,No home garden,0,4,75 +396,170.96,No barrel,0,15567,No home garden,0,8,60.5 +397,215.55,No barrel,0,11384,No home garden,0,5,72.5 +398,241.28,No barrel,0,12423,No home garden,0,2,67.3 +399,127.85,Barrel,1,11376,No home garden,0,6,66.7 +400,271.68,No barrel,0,27549,No home garden,0,4,74.7 +401,209.13,No barrel,0,22512,No home garden,0,5,65.4 +402,224.33,No barrel,0,21336,Home garden,1,9,70.7 +403,198.13,No barrel,0,12950,No home garden,0,3,64.3 +404,219.19,No barrel,0,26771,Home garden,1,7,68.3 +405,147.52,Barrel,1,12474,No home garden,0,6,65 +406,201.83,No barrel,0,15037,Home garden,1,10,73.1 +407,185.17,Barrel,1,21735,Home garden,1,8,71.2 +408,254.96,No barrel,0,33339,Home garden,1,7,75 +409,171.68,Barrel,1,21485,No home garden,0,6,69.7 +410,251.87,No barrel,0,19231,No home garden,0,6,76.1 +411,186.05,Barrel,1,11639,No home garden,0,4,69.9 +412,174.26,Barrel,1,23759,No home garden,0,4,59.8 +413,210.55,No barrel,0,19035,No home garden,0,7,63.1 +414,236.6,No barrel,0,12768,No home garden,0,4,68.5 +415,188.31,Barrel,1,14954,No home garden,0,5,73.6 +416,189.69,Barrel,1,23186,No home garden,0,6,77.3 +417,169.15,Barrel,1,18246,No home garden,0,6,72.9 +418,216.6,No barrel,0,12380,No home garden,0,6,72.7 +419,254.69,No barrel,0,30214,No home garden,0,5,77.2 +420,170.96,No barrel,0,9743,No home garden,0,8,61.1 +421,177.28,Barrel,1,14253,No home garden,0,6,74.1 +422,191.08,No barrel,0,16838,No home garden,0,5,64.1 +423,260.63,No barrel,0,21306,No home garden,0,5,76.1 +424,195.57,No barrel,0,12565,No home garden,0,6,65.2 +425,250.1,No barrel,0,29013,No home garden,0,5,70.4 +426,238.95,Barrel,1,28754,No home garden,0,1,64.2 +427,258.69,Barrel,1,33999,No home garden,0,3,72.7 +428,159.63,No barrel,0,4514,No home garden,0,5,68.4 +429,233.18,No barrel,0,28854,No home garden,0,5,68.9 +430,226.18,Barrel,1,32674,Home garden,1,8,70 +431,221.2,Barrel,1,25658,No home garden,0,1,68.7 +432,208.29,No barrel,0,9121,No home garden,0,3,73.3 +433,206.17,Barrel,1,20175,No home garden,0,7,70.4 +434,293.28,No barrel,0,33906,No home garden,0,4,74.1 +435,260.73,No barrel,0,14747,No home garden,0,2,72.7 +436,202.98,Barrel,1,27357,Home garden,1,7,76.3 +437,240.17,No barrel,0,19782,No home garden,0,3,66.7 +438,155.14,Barrel,1,3006,No home garden,0,9,75.6 +439,157.46,Barrel,1,4741,No home garden,0,5,64.4 +440,186.63,No barrel,0,6697,Home garden,1,10,65.7 +441,184.82,Barrel,1,19251,No home garden,0,7,66.5 +442,178.85,Barrel,1,16104,No home garden,0,7,65.7 +443,203.99,No barrel,0,4106,No home garden,0,6,74.2 +444,164.37,Barrel,1,11793,No home garden,0,2,64.3 +445,177.08,No barrel,0,11378,No home garden,0,9,72.8 +446,184.46,Barrel,1,14103,No home garden,0,2,67.7 +447,250.94,No barrel,0,30836,No home garden,0,5,71.4 +448,217.1,No barrel,0,20782,Home garden,1,7,70.2 +449,207.97,Barrel,1,31260,Home garden,1,9,73.8 +450,190.13,Barrel,1,20661,No home garden,0,2,71.4 +451,186.14,Barrel,1,13977,No home garden,0,4,68.8 +452,226.82,No barrel,0,17355,No home garden,0,2,70.2 +453,198.93,No barrel,0,21482,Home garden,1,8,66.8 +454,119.71,Barrel,1,13677,No home garden,0,8,65.2 +455,229.93,Barrel,1,26645,No home garden,0,4,74.4 +456,180.06,Barrel,1,11934,No home garden,0,4,66.3 +457,201.93,Barrel,1,21117,No home garden,0,5,68.5 +458,241.86,No barrel,0,22077,No home garden,0,3,64 +459,158.09,Barrel,1,16688,No home garden,0,6,64.9 +460,244.47,No barrel,0,38528,Home garden,1,6,59.5 +461,239.8,Barrel,1,18839,No home garden,0,3,76.2 +462,237.47,Barrel,1,31148,No home garden,0,4,78 +463,224.6,No barrel,0,17226,No home garden,0,5,72 +464,131.08,Barrel,1,3494,No home garden,0,5,62.7 +465,152.13,Barrel,1,19242,No home garden,0,8,65.9 +466,217.99,No barrel,0,17631,No home garden,0,5,77.8 +467,99.63,Barrel,1,7341,No home garden,0,6,54.3 +468,246.4,No barrel,0,36758,Home garden,1,6,71.6 +469,159.77,Barrel,1,16308,No home garden,0,3,61.5 +470,216.95,No barrel,0,12537,No home garden,0,5,67.3 +471,178.75,No barrel,0,3592,No home garden,0,6,72.2 +472,204.05,No barrel,0,13035,No home garden,0,3,68.4 +473,267.06,Barrel,1,32190,Home garden,1,6,81.8 +474,197.12,Barrel,1,18444,No home garden,0,4,66.3 +475,244.41,No barrel,0,33438,Home garden,1,5,73.8 +476,281.83,No barrel,0,33103,No home garden,0,2,70.7 +477,216.74,Barrel,1,21262,No home garden,0,2,66.9 +478,153.14,Barrel,1,17543,No home garden,0,6,63.1 +479,185.92,Barrel,1,18878,No home garden,0,4,61.2 +480,245.79,No barrel,0,20398,No home garden,0,2,60.3 +481,236.07,No barrel,0,33642,Home garden,1,7,59.4 +482,269.57,No barrel,0,37338,Home garden,1,6,67.4 +483,245.82,No barrel,0,27251,No home garden,0,6,66.5 +484,170.21,Barrel,1,24893,No home garden,0,6,65.6 +485,267.53,No barrel,0,19375,No home garden,0,2,70.9 +486,256.15,Barrel,1,28103,No home garden,0,4,82.1 +487,212.33,No barrel,0,15588,Home garden,1,8,72.2 +488,202.83,Barrel,1,25928,No home garden,0,5,68.7 +489,250.38,No barrel,0,31002,No home garden,0,4,60.9 +490,179.96,Barrel,1,8360,No home garden,0,5,71 +491,182.15,Barrel,1,20315,No home garden,0,7,66.5 +492,189.84,Barrel,1,21202,Home garden,1,10,74.5 +493,179.33,Barrel,1,17548,No home garden,0,6,71.3 diff --git a/docs/_site/files/data/generated_data/bed_nets_observed.csv b/docs/_site/files/data/generated_data/bed_nets_observed.csv new file mode 100644 index 00000000..7b143f9e --- /dev/null +++ b/docs/_site/files/data/generated_data/bed_nets_observed.csv @@ -0,0 +1,2001 @@ +treatment,bed_net,health +Control,No bed net,24.6 +Control,No bed net,36.4 +Treatment,Bed net,49.1 +Treatment,Bed net,47 +Control,Bed 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net,49.8 +Control,No bed net,59.6 +Control,No bed net,40.4 +Control,Bed net,37 +Control,No bed net,41.4 +Treatment,No bed net,32.9 +Control,Bed net,61.4 +Treatment,Bed net,36 +Control,Bed net,51.5 +Treatment,Bed net,81.2 +Control,No bed net,34.6 +Treatment,No bed net,37.1 +Control,No bed net,20.4 +Control,No bed net,48.5 +Control,No bed net,48.6 +Treatment,Bed net,72.9 +Control,No bed net,30.4 +Treatment,No bed net,17.7 +Treatment,Bed net,54.6 +Control,No bed net,49.7 +Treatment,No bed net,35.6 +Treatment,Bed net,53.1 +Control,Bed net,63.1 +Control,No bed net,46.9 +Treatment,Bed net,31.1 +Treatment,No bed net,19.7 +Control,Bed net,59.9 +Treatment,Bed net,68.3 +Treatment,No bed net,25 +Treatment,Bed net,69.1 +Treatment,No bed net,44.4 +Control,Bed net,62.4 +Treatment,No bed net,27.2 +Control,Bed net,55 +Treatment,No bed net,28.7 +Control,No bed net,36.3 +Treatment,Bed net,44.4 +Treatment,Bed net,55.4 +Treatment,Bed net,51.8 +Treatment,No bed net,42 +Control,No bed net,39.3 +Control,No bed net,39.3 +Treatment,No bed net,11.1 +Treatment,No bed net,26.5 +Treatment,Bed net,48.6 +Treatment,No bed net,33.9 +Control,No bed net,39.5 +Treatment,No bed net,47.7 +Control,No bed net,41.2 +Treatment,Bed net,35.8 +Control,No bed net,40.2 +Treatment,No bed net,43.8 +Control,No bed net,31.5 +Treatment,Bed net,45.5 +Control,No bed net,25.2 +Treatment,No bed net,34.7 +Control,No bed net,43.1 +Treatment,Bed net,61 +Control,Bed net,51.9 +Treatment,Bed net,66 +Control,No bed net,41.1 +Control,No bed net,32.8 +Control,No bed net,18.6 +Treatment,Bed net,46.9 +Treatment,No bed net,11.2 +Control,Bed net,54.4 +Treatment,No bed net,21.5 +Control,Bed net,52.8 +Control,No bed net,35 +Treatment,Bed net,44.7 +Treatment,No bed net,28.3 +Treatment,Bed net,54.8 +Treatment,Bed net,50.1 +Treatment,Bed net,45.1 +Control,No bed net,30.4 +Control,No bed net,44.8 +Control,Bed net,53.5 +Control,Bed net,48.4 +Control,No bed net,36.5 +Treatment,No bed net,13.9 +Treatment,Bed net,64.9 +Control,No bed net,28.3 +Treatment,Bed net,41.3 +Control,No bed net,54.2 +Treatment,Bed net,54.2 +Treatment,Bed net,65.2 +Control,Bed net,73.8 +Control,No bed net,30.4 +Control,No bed net,27.3 +Treatment,No bed net,10.5 +Control,No bed net,37.6 +Treatment,Bed net,53.4 +Treatment,No bed net,33.1 +Treatment,Bed net,42.3 +Treatment,Bed net,19.6 +Control,No bed net,34.7 +Treatment,Bed net,65.1 +Control,No bed net,42.1 +Treatment,Bed net,59.8 +Treatment,No bed net,36.7 +Control,Bed net,45.4 +Control,No bed net,13.8 +Control,Bed net,57.3 +Treatment,Bed net,55.7 +Treatment,Bed net,56 +Control,No bed net,49 +Treatment,Bed net,54.6 +Control,No bed net,20.7 +Treatment,Bed net,53.6 +Treatment,No bed net,18.2 +Treatment,Bed net,78.1 +Treatment,No bed net,45.1 +Control,No bed net,19.7 +Control,Bed net,62.2 +Treatment,Bed net,47.6 +Treatment,Bed net,38.9 +Control,No bed net,41.8 +Treatment,Bed net,39.1 +Treatment,Bed net,60.5 +Control,Bed net,62.3 +Control,No bed net,43.4 +Treatment,Bed net,64.7 +Treatment,Bed net,43.8 +Control,No bed net,17.3 +Treatment,No bed net,46 +Control,No bed net,35.7 +Treatment,No bed net,37.6 +Treatment,Bed net,49.8 +Treatment,No bed net,54.8 +Control,No bed net,33.7 +Control,No bed net,40.9 +Treatment,No bed net,29.4 +Control,No bed net,29.4 +Control,Bed net,58.2 +Treatment,No bed net,24.3 +Treatment,Bed net,39.5 +Control,No bed net,32.3 +Control,No bed net,43.8 +Treatment,No bed net,17.5 +Control,No bed net,41.3 +Treatment,Bed net,28.7 +Control,No bed net,35.9 +Treatment,No bed net,50.6 +Control,No bed net,46.4 +Treatment,Bed net,60.1 +Control,No bed net,22.7 +Treatment,Bed net,58.6 +Control,No bed net,43.6 +Treatment,Bed net,84.7 +Control,No bed net,41 +Control,No bed net,55.1 +Treatment,No bed net,40.9 +Treatment,Bed net,39.4 +Control,No bed net,37.3 +Control,No bed net,29.3 +Treatment,Bed net,77.1 +Treatment,Bed net,57.8 +Treatment,Bed net,58.6 +Treatment,No bed net,41.5 +Treatment,Bed net,52.2 +Treatment,Bed net,50.3 +Treatment,No bed net,40.3 +Treatment,No bed net,15.9 +Treatment,No bed net,30.5 +Treatment,Bed net,65.3 +Treatment,Bed net,31.7 +Treatment,Bed net,69 +Treatment,No bed net,24.3 +Treatment,No bed net,37.7 +Control,No bed net,17.7 +Control,No bed net,36.3 +Treatment,No bed net,23.9 +Control,No bed net,37.1 +Treatment,No bed net,25.5 +Treatment,No bed net,59.3 +Control,No bed net,30.1 +Control,No bed net,27 +Treatment,No bed net,29.7 +Treatment,Bed net,41.1 +Treatment,Bed net,45.2 +Treatment,Bed net,59.4 +Control,No bed net,34.1 +Control,No bed net,43.1 +Treatment,Bed net,77.3 +Treatment,No bed net,41.3 +Treatment,Bed net,35.4 +Control,No bed net,23.3 +Control,No bed net,49.3 +Treatment,Bed net,74.7 +Control,No bed net,41.8 +Treatment,No bed net,14.6 +Treatment,Bed net,56.8 +Control,Bed net,57.1 +Treatment,Bed net,49.5 +Control,Bed net,56.5 +Control,No bed net,29.5 +Control,No bed net,43.6 +Control,No bed net,44.3 +Treatment,Bed net,57.2 +Control,Bed net,41.3 +Control,No bed net,39.6 +Treatment,Bed net,67.1 +Treatment,Bed net,86.4 +Control,No bed net,39.5 +Treatment,No bed net,49.6 +Treatment,Bed net,76 +Control,Bed net,65.2 +Treatment,No bed net,46.8 +Treatment,Bed net,67.6 +Treatment,No bed net,32.6 +Control,No bed net,32.1 +Treatment,No bed net,34.7 +Treatment,Bed net,52.9 +Treatment,No bed net,32.5 +Control,Bed net,65.5 +Control,No bed net,31.5 +Control,No bed net,21.9 +Control,Bed net,58 +Control,Bed net,42.4 +Treatment,Bed net,55.4 +Treatment,No bed net,24.7 +Treatment,Bed net,59.2 +Treatment,No bed net,26.5 +Control,No bed net,39.7 +Control,No bed net,25.2 +Treatment,Bed net,43.2 +Treatment,Bed net,69.8 +Control,No bed net,17.5 +Control,No bed net,18.1 +Treatment,Bed net,74.5 +Control,No bed net,41 +Control,No bed net,42.4 +Control,Bed net,55.2 +Control,No bed net,21.6 +Treatment,No bed net,28 +Control,No bed net,54.7 +Treatment,No bed net,43.4 +Control,Bed net,53.8 +Treatment,Bed net,76 +Treatment,Bed net,55.6 +Control,No bed net,48.4 +Treatment,No bed net,35.9 +Treatment,No bed net,32.6 +Control,No bed net,33.4 +Control,No bed net,43.7 +Treatment,Bed net,52.3 +Treatment,Bed net,48.7 +Treatment,Bed net,49.7 +Treatment,Bed net,57.5 +Control,Bed net,53.4 +Control,No bed net,39.6 +Control,Bed net,63.7 +Treatment,No bed net,39.8 +Control,No bed net,21.3 +Treatment,No bed net,36.9 +Control,No bed net,36.1 +Treatment,No bed net,50.4 +Treatment,No bed net,46.6 +Treatment,Bed net,63.5 +Treatment,No bed net,51.6 +Treatment,No bed net,46.2 +Control,No bed net,29.5 +Treatment,No bed net,32.1 +Control,No bed net,42.8 +Control,Bed net,63.2 +Treatment,Bed net,59.8 +Treatment,Bed net,60.2 +Control,No bed net,46.2 +Control,No bed net,41.3 +Treatment,No bed net,18.1 +Control,No bed net,21.4 +Treatment,Bed net,67.4 +Control,No bed net,28.5 +Control,No bed net,26.7 +Treatment,Bed net,54.8 +Control,No bed net,53.6 +Treatment,No bed net,38.5 +Treatment,No bed net,30.7 +Control,Bed net,42.8 +Control,No bed net,40.9 +Control,No bed net,27 +Control,No bed net,39 +Control,No bed net,28.5 +Treatment,No bed net,40.5 +Control,No bed net,43.1 +Treatment,No bed net,33.2 +Treatment,Bed net,47 +Control,Bed net,56.7 +Treatment,Bed net,33 +Control,Bed net,56.9 +Treatment,Bed net,55.2 +Treatment,Bed net,60.6 +Control,No bed net,44.9 +Control,No bed net,30 +Control,No bed net,35 +Control,No bed net,25.8 +Control,No bed net,44.2 +Treatment,Bed net,46.5 +Treatment,Bed net,41.3 +Treatment,No bed net,34.8 +Control,Bed net,51.7 +Control,Bed net,58.2 +Treatment,No bed net,42.2 +Treatment,Bed net,59.7 +Treatment,Bed net,49.1 +Treatment,No bed net,28.8 +Treatment,Bed net,28.1 +Treatment,No bed net,36.6 +Control,No bed net,43.2 +Control,Bed net,64.7 +Control,No bed net,34.5 +Control,No bed net,34.5 +Control,No bed net,41.1 +Treatment,Bed net,54.6 +Control,No bed net,46 +Control,No bed net,37.3 +Control,No bed net,21.8 +Control,Bed net,67.8 +Treatment,Bed net,47 +Control,No bed net,30.2 +Control,No bed net,42.6 +Control,No bed net,33.9 +Treatment,Bed net,37.9 +Treatment,Bed net,71.6 +Treatment,No bed net,37.4 +Treatment,Bed net,67.4 +Control,No bed net,34.4 +Treatment,Bed net,57.5 +Control,Bed net,53.4 +Control,No bed net,68.1 +Treatment,Bed net,44.8 +Control,Bed net,60.7 +Treatment,No bed net,17 +Control,No bed net,25.4 +Control,Bed net,65.4 +Control,No bed net,16 +Treatment,No bed net,43.1 +Treatment,Bed net,32.7 +Control,No bed net,36.6 +Treatment,Bed net,60.6 +Control,No bed net,22.6 +Treatment,Bed net,54 +Treatment,No bed net,21.8 +Treatment,Bed net,65.9 +Control,No bed net,31.3 +Treatment,Bed net,63.1 +Treatment,No bed net,32.6 +Treatment,Bed net,60.9 +Control,No bed net,41.8 +Control,No bed net,25.1 +Control,No bed net,32.6 +Control,No bed net,49 +Control,No bed net,46.1 +Control,No bed net,35.6 +Treatment,No bed net,29.7 +Control,Bed net,56.5 +Treatment,Bed net,53.9 +Control,No bed net,32.5 +Treatment,Bed net,74.6 +Treatment,No bed net,46.4 +Control,No bed net,45.2 +Control,No bed net,29.1 +Control,No bed net,45.3 +Control,No bed net,25.3 +Treatment,Bed net,56.9 +Control,No bed net,36.2 +Control,Bed net,65 +Control,No bed net,44.4 +Treatment,Bed net,38.8 +Control,No bed net,33.8 +Treatment,Bed net,71.4 +Treatment,Bed net,52.9 +Treatment,No bed net,27.8 +Treatment,Bed net,53.1 +Control,No bed net,43.7 +Treatment,No bed net,46.5 +Control,No bed net,40.4 +Control,No bed net,32.4 +Treatment,Bed net,58 +Treatment,No bed net,32.2 +Control,Bed net,55.9 +Treatment,Bed net,51.6 +Control,No bed net,38.5 +Treatment,Bed net,51.2 +Treatment,Bed net,35.7 +Control,Bed net,57.3 +Treatment,No bed net,11.2 +Control,Bed net,48.2 +Control,No bed net,43 +Treatment,Bed net,24.6 +Treatment,Bed net,49 +Treatment,Bed net,54 +Control,No bed net,44.8 +Treatment,Bed net,64.2 +Control,No bed net,41.5 +Treatment,No bed net,14.5 +Treatment,Bed net,39.1 +Control,No bed net,52.2 +Treatment,Bed net,63.5 +Control,No bed net,49.1 +Control,No bed net,34.7 +Control,No bed net,43 +Control,No bed net,43.2 +Treatment,Bed net,65.4 +Treatment,Bed net,65.7 +Control,No bed net,31.8 +Treatment,Bed net,61.1 +Control,No bed net,56 +Control,No bed net,35.6 +Treatment,Bed net,70.1 +Treatment,No bed net,38.4 +Control,No bed net,9.2 +Control,Bed net,47.5 +Treatment,Bed net,58.9 +Treatment,No bed net,31.6 +Treatment,Bed net,79.8 +Control,No bed net,34.9 +Control,No bed net,29.2 +Control,No bed net,12.7 +Control,No bed net,47.6 +Control,No bed net,27.5 +Treatment,Bed net,56.5 +Control,No bed net,27.8 +Treatment,No bed net,36.2 +Treatment,No bed net,34.6 +Control,No bed net,36.8 +Treatment,Bed net,67.2 +Control,No bed net,36.6 +Treatment,Bed net,53.7 +Control,Bed net,66.6 +Control,No bed net,38.5 +Treatment,No bed net,52.2 +Treatment,No bed net,49.6 +Treatment,Bed net,44.8 +Control,No bed net,45.6 +Control,No bed net,46.7 +Treatment,Bed net,41.1 +Treatment,No bed net,22.3 +Treatment,No bed net,72.2 +Control,No bed net,39.7 +Treatment,No bed net,67.4 +Control,No bed net,26.4 +Control,No bed net,48.2 +Control,No bed net,41.1 +Control,Bed net,45.2 +Control,No bed net,39.5 +Control,No bed net,57.9 +Control,No bed net,69.6 +Treatment,Bed net,25.9 +Treatment,No bed net,36.4 +Treatment,No bed net,37.1 +Treatment,No bed net,13.7 +Treatment,No bed net,26.1 +Control,No bed net,17.1 +Control,No bed net,50.8 +Treatment,Bed net,39.8 +Control,No bed net,49.4 +Treatment,Bed net,43.7 +Treatment,No bed net,47.7 +Control,No bed net,41.7 +Control,Bed net,51 +Treatment,No bed net,22.5 +Control,Bed net,83 +Treatment,Bed net,56.6 +Control,No bed net,23 +Treatment,Bed net,25.5 +Treatment,No bed net,51.8 +Control,No bed net,49.4 +Treatment,Bed net,27.3 +Control,No bed net,19.2 +Treatment,Bed net,47.5 +Control,No bed net,53 +Treatment,Bed net,36.9 +Control,No bed net,39.5 +Treatment,No bed net,43.1 +Control,No bed net,39.5 +Treatment,No bed net,26.6 +Control,Bed net,56.1 +Control,No bed net,30.7 +Treatment,No bed net,47.8 +Control,No bed net,62.9 +Control,No bed net,46.7 +Treatment,No bed net,29.2 +Treatment,Bed net,47.6 +Treatment,No bed net,37.3 +Control,No bed net,43.5 +Control,Bed net,58.5 +Treatment,Bed net,93 +Control,No bed net,41 +Treatment,No bed net,24.9 +Control,Bed net,56 +Control,No bed net,42.1 +Treatment,Bed net,43.2 +Control,No bed net,38 +Control,No bed net,20.4 +Control,No bed net,56.3 +Control,No bed net,37.1 +Treatment,No bed net,31.3 +Treatment,No bed net,42.9 +Treatment,Bed net,31.4 +Treatment,No bed net,32.7 +Control,No bed net,27.9 +Treatment,No bed net,42.9 +Control,No bed net,23.3 +Control,No bed net,37.8 +Control,No bed net,33.9 +Control,No bed net,31.9 +Treatment,No bed net,44.1 +Control,Bed net,48.7 +Control,No bed net,34.4 +Control,No bed net,42.3 +Control,No bed net,46.9 +Treatment,Bed net,52.1 +Control,No bed net,44.7 +Control,No bed net,38.8 +Control,No bed net,29.8 +Treatment,Bed net,63.1 +Treatment,No bed net,37 +Treatment,No bed net,36.1 +Treatment,No bed net,19.1 +Control,No bed net,36 +Control,Bed net,60.6 +Control,Bed net,38.4 +Control,No bed net,45.3 +Treatment,No bed net,29.1 +Control,No bed net,28 +Control,No bed net,49.6 +Treatment,Bed net,48.4 +Control,No bed net,31.6 +Treatment,Bed net,25.2 +Control,Bed net,44 +Treatment,Bed net,63.4 +Treatment,No bed net,46.5 +Treatment,Bed net,56.1 +Control,No bed net,35.3 +Treatment,Bed net,47.9 +Control,No bed net,49.1 +Control,No bed net,36 +Control,No bed net,36.9 +Treatment,No bed net,28.1 +Control,No bed net,37.9 +Treatment,Bed net,26.9 +Treatment,No bed net,20.9 +Treatment,No bed net,29.4 +Control,No bed net,30.1 +Control,No bed net,45.4 +Control,No bed net,43.5 +Control,No bed net,35.6 +Treatment,No bed net,36.3 +Control,No bed net,47.3 +Control,No bed net,11.8 +Control,No bed net,43.6 +Control,Bed net,44.8 +Treatment,Bed net,51.7 +Control,Bed net,57.8 +Control,No bed net,40.9 +Control,No bed net,30.5 +Treatment,Bed net,40 +Control,No bed net,41 +Treatment,Bed net,58.2 +Treatment,No bed net,49.3 +Control,Bed net,78.3 +Treatment,Bed net,56.4 +Control,No bed net,25.9 +Treatment,Bed net,42.7 +Control,Bed net,60.8 +Control,No bed net,16.5 +Treatment,No bed net,24.1 +Control,Bed net,52.2 +Treatment,Bed net,55 +Control,No bed net,25.4 +Treatment,Bed net,49.3 +Treatment,Bed net,48 +Control,No bed net,44.5 +Treatment,No bed net,15.6 +Control,No bed net,35.4 +Treatment,Bed net,30.4 +Control,No bed net,38.2 +Treatment,No bed net,52.7 +Treatment,Bed net,49.4 +Treatment,Bed net,34.8 +Treatment,Bed net,41.2 +Control,Bed net,50.8 +Control,No bed net,24.3 +Control,No bed net,32.3 +Control,No bed net,24 +Control,No bed net,28.8 +Control,Bed net,51.3 +Treatment,No bed net,28.1 +Treatment,Bed net,51.8 +Treatment,Bed net,54.3 +Treatment,No bed net,31.6 +Control,No bed net,31.7 +Treatment,Bed net,39 +Control,No bed net,18.2 +Treatment,Bed net,35.7 +Control,No bed net,31 +Treatment,Bed net,63.8 +Treatment,No bed net,60.8 +Control,No bed net,45.8 +Treatment,Bed net,60.8 +Treatment,No bed net,49.4 +Control,No bed net,26 +Control,Bed net,48.7 +Control,No bed net,26.8 +Control,No bed net,35.4 +Control,Bed net,43.7 +Control,Bed net,72.3 +Treatment,Bed net,44.4 +Treatment,Bed net,66.9 +Control,Bed net,56.2 +Control,No bed net,18.2 +Treatment,Bed net,49.3 +Control,No bed net,42.5 +Treatment,Bed net,63.3 +Control,No bed net,41.7 +Control,No bed net,42.8 +Control,No bed net,53.2 +Control,No bed net,38.5 +Treatment,Bed net,56.3 +Treatment,Bed net,56.9 +Treatment,Bed net,38.4 +Treatment,Bed net,55.4 +Treatment,Bed net,44.3 +Treatment,Bed net,27.3 +Control,Bed net,52.5 +Control,Bed net,66.5 +Treatment,Bed net,49 +Control,No bed net,31.3 +Treatment,No bed net,41.3 +Control,No bed net,45.3 +Control,No bed net,40.1 +Treatment,No bed net,42.1 +Control,No bed net,26.2 +Treatment,No bed net,25.7 +Treatment,Bed net,34 +Control,No bed net,17 +Treatment,No bed net,24.9 +Treatment,No bed net,16.6 +Treatment,Bed net,45.7 +Treatment,Bed net,57.7 +Treatment,Bed net,58 +Treatment,Bed net,48 +Control,No bed net,50.1 +Treatment,Bed net,80 +Control,No bed net,28.2 +Control,No bed net,39.6 +Control,No bed net,55 +Treatment,Bed net,60.6 +Control,No bed net,42.3 +Treatment,No bed net,41.2 +Control,No bed net,44.7 +Control,Bed net,61 +Control,No bed net,34.8 +Treatment,No bed net,34.6 +Treatment,Bed net,67.9 +Control,No bed net,47 +Treatment,Bed net,65.9 +Treatment,Bed net,68.7 +Control,Bed net,37.4 +Control,No bed net,45.8 +Control,No bed net,57.3 +Control,No bed net,32.9 +Control,No bed net,53.8 +Control,Bed net,54.4 +Control,No bed net,40.6 +Treatment,No bed net,42.8 +Treatment,No bed net,30.8 +Treatment,Bed net,50.1 +Treatment,Bed net,42.1 +Control,No bed net,36.8 +Control,No bed net,41.7 +Control,No bed net,46.1 +Treatment,No bed net,34.4 +Control,No bed net,37.5 +Control,No bed net,35.6 +Control,No bed net,25.6 +Control,No bed net,26.5 +Treatment,Bed net,63.5 +Control,No bed net,55.7 +Treatment,No bed net,36.8 +Treatment,No bed net,62.8 +Treatment,No bed net,24.8 +Control,Bed net,64.1 +Treatment,Bed net,43.9 +Control,No bed net,33.2 +Control,No bed net,46.1 +Control,Bed net,78.7 +Treatment,Bed net,64.8 +Treatment,Bed net,64.4 +Control,No bed net,35.7 +Control,No bed net,26.5 +Control,Bed net,61.3 +Treatment,No bed net,48.8 +Treatment,No bed net,47.6 +Treatment,No bed net,48.5 +Control,No bed net,33.5 +Control,No bed net,45.3 +Treatment,Bed net,55.8 +Control,No bed net,54.2 +Treatment,Bed net,89.1 +Treatment,Bed net,62 +Treatment,Bed net,28.7 +Control,No bed net,37.8 +Control,No bed net,32.8 +Treatment,No bed net,44.8 +Treatment,Bed net,62.9 +Control,No bed net,39.9 +Treatment,Bed net,58.6 +Control,No bed net,36.7 +Treatment,No bed net,22.5 +Treatment,Bed net,72.8 +Treatment,No bed net,40.9 +Control,No bed net,49.5 +Control,No bed net,29.6 +Control,No bed net,33.5 +Control,No bed net,28 +Treatment,No bed net,43 +Control,Bed net,67.6 +Control,No bed net,39.5 +Treatment,Bed net,64.5 +Control,No bed net,33.6 +Control,Bed net,57.9 +Treatment,Bed net,39.5 +Control,No bed net,46.8 +Control,No bed net,57.5 +Control,No bed net,28.7 +Control,No bed net,49.4 +Control,Bed net,53.2 +Treatment,Bed net,49.5 +Treatment,Bed net,59.7 +Treatment,Bed net,63.6 +Treatment,No bed net,43.5 +Control,Bed net,71.3 +Treatment,No bed net,23 +Control,No bed net,43 +Treatment,Bed net,43.5 +Control,No bed net,22 +Treatment,Bed net,45.4 +Control,Bed net,46.3 +Control,No bed net,37.7 +Treatment,No bed net,30.3 +Treatment,No bed net,46.4 +Control,No bed net,53.1 +Control,No bed net,33.5 +Control,Bed net,47.4 +Treatment,Bed net,64.7 +Control,No bed net,40.1 +Control,No bed net,36.1 +Treatment,Bed net,53.6 +Control,Bed net,55.4 +Control,No bed net,50.4 +Control,Bed net,60.3 +Control,No bed net,36.8 +Control,No bed net,37.5 +Treatment,No bed net,43.4 +Control,No bed net,26 +Control,No bed net,29.3 +Treatment,No bed net,48.6 +Treatment,Bed net,50.6 +Control,No bed net,34.2 +Treatment,No bed net,48.3 +Treatment,Bed net,53.7 +Treatment,Bed net,45.1 +Treatment,No bed net,34.9 +Treatment,No bed net,20.7 +Control,No bed net,31.3 +Control,Bed net,53.5 +Control,No bed net,37.1 +Treatment,Bed net,65 +Treatment,Bed net,57 +Control,No bed net,45.5 +Treatment,Bed net,58.8 +Control,No bed net,39.6 +Control,No bed net,33.6 +Control,No bed net,35 +Control,No bed net,28.9 +Treatment,No bed net,26.5 +Treatment,Bed net,57.7 +Control,No bed net,23.7 +Treatment,No bed net,41.3 +Treatment,Bed net,54.8 +Control,No bed net,39.8 +Treatment,Bed net,46.9 +Control,Bed net,47.8 +Treatment,Bed net,64.4 +Control,No bed net,23.7 +Treatment,No bed net,27.3 +Control,No bed net,41.1 +Control,No bed net,26.8 +Treatment,Bed net,51.8 +Treatment,Bed net,28.7 +Control,No bed net,45.7 +Control,No bed net,43.9 +Treatment,No bed net,53 +Control,No bed net,28 +Control,No bed net,38.8 +Control,No bed net,43.7 +Control,No bed net,21.7 +Control,No bed net,29.2 +Control,No bed net,45.4 +Control,No bed net,46.1 +Control,No bed net,41.7 +Control,No bed net,40.6 +Control,No bed net,51.9 +Control,No bed net,32.3 +Control,No bed net,37.3 +Treatment,Bed net,53.2 +Treatment,Bed net,65.6 +Control,Bed net,42.5 +Treatment,Bed net,57.5 +Control,Bed net,49 +Control,No bed net,29.6 +Control,No bed net,34.9 +Control,No bed net,49 +Control,No bed net,28.8 +Control,No bed net,20.7 +Treatment,No bed net,48.4 +Treatment,Bed net,66 +Control,Bed net,62.9 +Treatment,Bed net,53.9 +Treatment,No bed net,48.4 +Control,No bed net,30.2 +Control,No bed net,36.6 +Treatment,No bed net,36.6 +Treatment,Bed net,61.6 +Control,No bed net,45.2 +Treatment,Bed net,44.1 +Treatment,Bed net,51.2 +Control,No bed net,32.2 +Control,No bed net,56.6 +Control,Bed net,50.4 +Treatment,Bed net,69 +Treatment,No bed net,25.8 +Treatment,No bed net,34.1 +Control,No bed net,41.6 +Control,Bed net,54.9 +Control,No bed net,47.7 +Treatment,No bed net,6.2 +Treatment,Bed net,40.4 +Control,No bed net,43.7 +Treatment,Bed net,54.8 +Treatment,Bed net,65 +Control,No bed net,28 +Treatment,No bed net,38.7 +Treatment,Bed net,54.6 +Treatment,Bed net,57.9 +Treatment,Bed net,41.5 +Control,No bed net,29.7 +Control,No bed net,36.6 +Treatment,Bed net,56.8 +Control,Bed net,59.6 +Control,No bed net,36.2 +Control,No bed net,39.3 +Control,Bed net,46 +Treatment,No bed net,18.8 +Control,No bed net,34.6 +Treatment,Bed net,46.1 +Control,No bed net,29 +Treatment,No bed net,44.9 +Treatment,Bed net,44.7 +Control,No bed net,43.2 +Treatment,No bed net,58.4 +Treatment,Bed net,70 +Treatment,Bed net,81.7 +Control,No bed net,58.3 +Control,No bed net,18 +Treatment,Bed net,61.1 +Control,No bed net,37 +Control,No bed net,46.1 +Control,No bed net,19 +Treatment,No bed net,40.3 +Treatment,Bed net,55.7 +Treatment,Bed net,45.8 +Treatment,Bed net,49.2 +Treatment,Bed net,60 +Treatment,No bed net,47.8 +Treatment,Bed net,59.1 +Control,No bed net,41.6 +Control,No bed net,43.9 +Treatment,Bed net,48.5 +Control,No bed net,39.3 +Treatment,No bed net,37.6 +Control,No bed net,33.6 +Treatment,No bed net,37.3 +Treatment,Bed net,53.3 +Treatment,No bed net,26.9 +Treatment,Bed net,72.6 +Treatment,No bed net,42.6 +Treatment,No bed net,60.6 +Control,No bed net,49 +Treatment,Bed net,72 +Control,No bed net,52 +Treatment,Bed net,64.3 +Treatment,No bed net,57.4 +Treatment,Bed net,26.5 +Treatment,No bed net,19.9 +Treatment,Bed net,74.2 +Control,No bed net,43.3 +Control,No bed net,33.4 +Treatment,Bed net,45.9 +Treatment,No bed net,36.9 +Treatment,Bed net,64.8 +Control,No bed net,27.9 +Treatment,No bed net,44.6 +Treatment,Bed net,36.7 +Control,No bed net,35 +Control,Bed net,61.2 +Treatment,No bed net,15.9 +Treatment,No bed net,49 +Control,No bed net,58.2 +Treatment,No bed net,25.1 +Control,No bed net,40.2 +Control,No bed net,33.8 +Control,No bed net,23.7 +Treatment,Bed net,56.3 +Control,No bed net,27.8 +Treatment,Bed net,41.6 +Treatment,Bed net,50.6 +Control,No bed net,45.5 +Treatment,No bed net,44.1 +Treatment,No bed net,31.4 +Control,No bed net,35.8 +Treatment,No bed net,33.8 +Treatment,No bed net,29.9 +Treatment,Bed net,60.2 +Treatment,Bed net,42.6 +Control,No bed net,33.6 +Control,Bed net,54.9 +Control,No bed net,35.2 +Control,No bed net,27 +Treatment,No bed net,25.1 +Control,Bed net,71.7 +Control,No bed net,39.1 +Control,No bed net,37.9 +Treatment,Bed net,50 +Control,No bed net,45.3 +Treatment,Bed net,51.5 +Treatment,No bed net,28.6 +Control,Bed net,52.6 +Control,No bed net,41.5 +Treatment,No bed net,51.4 +Control,No bed net,54.8 +Control,No bed net,40.7 +Treatment,Bed net,58.8 +Control,No bed net,43.3 +Control,Bed net,36.9 +Control,No bed net,22.9 +Treatment,Bed net,27.8 +Control,No bed net,27.9 +Treatment,Bed net,68.7 +Control,No bed net,28 +Control,No bed net,60.4 +Treatment,Bed net,46.2 +Treatment,No bed net,31 +Treatment,Bed net,27.2 +Treatment,Bed net,53 +Control,No bed net,51.2 +Control,No bed net,71.1 +Control,No bed net,22 +Treatment,No bed net,48.3 +Control,No bed net,34.9 +Control,No bed net,65.9 +Treatment,Bed net,55.5 +Control,No bed net,31.4 +Control,No bed net,38.6 +Control,No bed net,29.4 +Control,No bed net,35.7 +Control,No bed net,39.2 +Control,No bed net,31.9 +Control,Bed net,50.7 +Treatment,No bed net,45.3 +Treatment,Bed net,67 +Control,No bed net,14.9 +Treatment,No bed net,37.6 +Treatment,Bed net,44 +Control,No bed net,39.9 +Treatment,Bed net,66.5 +Control,Bed net,30.9 +Control,No bed net,39.7 +Control,No bed net,19.4 +Treatment,Bed net,70.4 +Control,Bed net,53.2 +Control,No bed net,35.7 +Treatment,Bed net,65.6 +Treatment,No bed net,26.4 +Treatment,Bed net,34.1 +Treatment,No bed net,51.3 +Treatment,No bed net,20.5 +Control,Bed net,55 +Treatment,No bed net,32.5 +Control,No bed net,42.2 +Control,Bed net,37.5 +Treatment,Bed net,27.5 +Control,Bed net,75.3 +Control,Bed net,65.2 +Control,No bed net,51.7 +Control,Bed net,72.2 +Treatment,Bed net,92.3 +Treatment,Bed net,42.3 +Treatment,No bed net,61.2 +Control,No bed net,46.4 +Treatment,Bed net,53.8 +Treatment,No bed net,53.7 +Treatment,Bed net,43.9 +Treatment,Bed net,46.8 +Control,Bed net,50.4 +Treatment,Bed net,57 +Control,No bed net,38.9 +Treatment,Bed net,41 +Treatment,Bed net,51.7 +Control,No bed net,34.3 +Control,No bed net,43.4 +Treatment,Bed net,36.9 +Treatment,No bed net,35.7 +Treatment,Bed net,72.4 +Control,No bed net,14.2 +Treatment,Bed net,70.3 +Treatment,Bed net,58.4 +Treatment,Bed net,57.7 +Control,No bed net,28.2 +Treatment,Bed net,38.4 +Control,No bed net,41 +Treatment,No bed net,10.8 +Treatment,No bed net,37.3 +Control,No bed net,25.8 +Control,No bed net,35.4 +Control,No bed net,52.5 +Control,No bed net,46.7 +Control,No bed net,55 +Control,No bed net,50.3 +Control,No bed net,42.3 +Treatment,No bed net,47.9 +Treatment,Bed net,44.1 +Control,No bed net,33.9 +Control,No bed net,61.8 +Control,No bed net,38.7 +Treatment,No bed net,24.5 +Control,No bed net,59.3 +Control,No bed net,28.3 +Control,No bed net,27.1 +Control,No bed net,32.9 +Control,No bed net,22.5 +Control,Bed net,63.8 +Treatment,No bed net,29.5 +Treatment,No bed net,44.1 +Treatment,No bed net,35.3 +Treatment,Bed net,57.5 +Treatment,Bed net,73.2 +Treatment,Bed net,17.2 +Control,No bed net,32.8 +Treatment,No bed net,36 +Control,No bed net,32 +Treatment,Bed net,52.1 +Control,No bed net,49.9 +Treatment,No bed net,55.6 +Control,No bed net,51 +Control,No bed net,50 +Treatment,Bed net,41.1 +Control,No bed net,39.3 +Control,No bed net,19.7 +Control,No bed net,41.9 +Control,No bed net,40.1 +Control,No bed net,27.8 +Control,No bed net,34.3 +Treatment,Bed net,57.7 +Control,No bed net,35.3 +Control,No bed net,32.6 +Treatment,No bed net,35.4 +Control,No bed net,37 +Control,No bed net,44.4 +Control,No bed net,26.9 +Treatment,No bed net,27.4 +Treatment,No bed net,32.9 +Control,No bed net,49.5 +Treatment,Bed net,72.7 +Control,No bed net,37.5 +Control,No bed net,52.8 +Control,No bed net,39.9 +Treatment,Bed net,44 +Control,Bed net,36.6 +Control,No bed net,29.5 +Treatment,Bed net,45.3 +Control,No bed net,41.7 +Control,No bed net,39.9 +Control,Bed net,55.4 +Control,No bed net,30.2 +Control,No bed net,41.1 +Control,No bed net,33.1 +Treatment,No bed net,14.7 +Treatment,No bed net,24.6 +Treatment,Bed net,57.3 +Control,Bed net,60.1 +Control,No bed net,38.2 +Control,No bed net,31 +Control,No bed net,49.1 +Treatment,Bed net,61.2 +Treatment,Bed net,42.1 +Control,No bed net,39.5 +Treatment,Bed net,54.8 +Treatment,Bed net,47.8 +Treatment,Bed net,60.6 +Treatment,Bed net,83.4 +Treatment,Bed net,48.9 +Control,No bed net,29.4 +Treatment,No bed net,41 +Treatment,Bed net,44.2 +Treatment,No bed net,34.1 +Control,No bed net,54 +Treatment,No bed net,63.6 +Treatment,No bed net,37.5 +Treatment,No bed net,37.6 +Control,No bed net,42.2 +Treatment,Bed net,71.8 +Control,No bed net,30.8 +Treatment,Bed net,63 +Control,No bed net,36.5 +Control,Bed net,67.4 +Treatment,No bed net,57 +Treatment,No bed net,41 +Control,No bed net,43.3 +Treatment,Bed net,37.5 +Treatment,Bed net,59.6 +Control,Bed net,48.9 +Control,No bed net,41.8 +Treatment,Bed net,58.5 +Treatment,Bed net,53.8 +Control,No bed net,36 +Treatment,Bed net,59.1 +Treatment,Bed net,49.5 +Control,No bed net,37.5 +Control,No bed net,34.5 +Treatment,Bed net,62.8 +Treatment,Bed net,64.8 +Treatment,No bed net,31.9 +Control,No bed net,43.1 +Treatment,Bed net,51.6 +Treatment,Bed net,45.3 +Treatment,No bed net,39.3 +Control,No bed net,57.4 +Control,No bed net,43.9 +Treatment,Bed net,36.6 +Treatment,Bed net,73.2 +Control,Bed net,65.4 +Treatment,No bed net,46.7 +Treatment,Bed net,70.7 +Control,No bed net,35.7 +Treatment,No bed net,31.6 +Treatment,Bed net,52.8 +Treatment,No bed net,49.6 +Treatment,No bed net,35.2 +Treatment,No bed net,37.8 +Control,No bed net,54.9 +Control,No bed net,32.3 +Treatment,No bed net,47.3 +Control,No bed net,14.1 +Control,Bed net,52.7 +Control,Bed net,59.1 +Treatment,Bed net,47 +Treatment,Bed net,47.9 +Treatment,Bed net,79.2 +Treatment,Bed net,87.3 +Treatment,No bed net,40.5 +Control,No bed net,36.6 +Control,Bed net,61.8 +Control,No bed net,31 +Treatment,Bed net,53.9 +Treatment,Bed net,42.6 +Treatment,Bed net,73.4 +Treatment,No bed net,44.1 +Treatment,No bed net,31.6 +Control,No bed net,39.9 +Treatment,Bed net,55.5 +Treatment,No bed net,36.5 +Control,No bed net,19.6 +Treatment,No bed net,57.1 +Treatment,No bed net,62.8 +Treatment,No bed net,28.8 +Treatment,No bed net,46.2 +Control,Bed net,38.4 +Treatment,Bed net,47.4 +Control,No bed net,51.6 +Treatment,Bed net,100 +Control,No bed net,49.3 +Control,No bed net,62 +Control,No bed net,43.9 +Control,No bed net,45.2 +Control,No bed net,45.2 +Treatment,No bed net,41.4 +Treatment,No bed net,24 +Control,No bed net,52.3 +Control,No bed net,46.8 +Treatment,No bed net,39.8 +Treatment,Bed net,46.7 +Control,No bed net,31.4 +Treatment,No bed net,29.1 +Treatment,Bed net,60.2 +Control,No bed net,39.4 +Control,No bed net,31.3 +Treatment,Bed net,71.3 +Control,No bed net,52.8 +Treatment,Bed net,48.4 +Control,No bed net,40.4 +Treatment,No bed net,24.7 +Control,No bed net,48 +Treatment,No bed net,41.5 +Control,Bed net,38.3 +Control,No bed net,44.7 +Control,Bed net,48.1 +Treatment,Bed net,45.8 +Control,Bed net,43.9 +Control,No bed net,40.6 +Treatment,Bed net,53.3 +Control,No bed net,45.9 +Control,No bed net,44.6 +Control,No bed net,25.5 +Treatment,Bed net,38.2 +Treatment,Bed net,56.6 +Treatment,No bed net,51.4 +Treatment,No bed net,39 +Control,No bed net,30.4 +Treatment,Bed net,47 +Treatment,Bed net,40.6 +Control,Bed net,48.5 +Treatment,Bed net,57.5 +Control,No bed net,41.9 +Control,No bed net,34.6 +Control,Bed net,33.2 +Control,No bed net,43.5 +Control,No bed net,33.4 +Control,No bed net,41.9 +Control,No bed net,41.7 +Treatment,No bed net,27.6 +Treatment,No bed net,37 +Treatment,No bed net,33.7 +Treatment,No bed net,50.3 +Control,No bed net,34.9 +Control,No bed net,39.4 +Treatment,No bed net,41.3 +Control,No bed net,33.9 +Treatment,Bed net,44.7 +Control,No bed net,7.7 +Treatment,Bed net,60.8 +Control,No bed net,35 +Treatment,Bed net,52 +Treatment,Bed net,51.1 +Treatment,Bed net,52.5 +Control,No bed net,22.6 +Control,No bed net,37.2 +Control,No bed net,34.8 +Treatment,Bed net,45.2 +Treatment,No bed net,40.9 +Treatment,Bed net,52.8 +Treatment,Bed net,55.9 +Treatment,Bed net,52.6 +Control,No bed net,46 +Control,Bed net,71.5 +Control,No bed net,30.7 +Control,No bed net,56.6 +Treatment,No bed net,41 +Control,No bed net,38.1 +Control,No bed net,29.5 +Control,No bed net,43.4 +Treatment,Bed net,59 +Treatment,No bed net,15.3 +Treatment,Bed net,53.8 +Control,No bed net,43.1 +Treatment,Bed net,72.6 +Control,Bed net,53.6 +Control,No bed net,44.1 +Treatment,No bed net,39.3 +Control,No bed net,39.4 +Treatment,No bed net,35.2 +Treatment,Bed net,31.5 +Treatment,No bed net,39.2 +Treatment,Bed net,55.7 +Control,Bed net,43.5 +Control,No bed net,49.9 +Treatment,No bed net,46.8 +Control,No bed net,50.6 +Treatment,Bed net,44.8 +Treatment,Bed net,80.7 +Treatment,Bed net,47 +Control,No bed net,41.7 +Control,No bed net,37.6 +Treatment,No bed net,25.1 +Treatment,No bed net,23.2 +Control,No bed net,52.2 +Treatment,No bed net,33.7 +Control,No bed net,37.9 +Control,No bed net,30.2 +Treatment,Bed net,72.9 +Treatment,No bed net,35.3 +Treatment,Bed net,63.4 +Control,No bed net,29.8 +Control,No bed net,41.2 +Treatment,Bed net,39.2 +Control,Bed net,59.9 +Control,No bed net,12.6 +Control,No bed net,21.2 +Treatment,Bed net,51.7 +Treatment,No bed net,32.9 +Control,No bed net,42.6 +Treatment,No bed net,15.5 +Treatment,Bed net,51.6 +Control,No bed net,30.6 +Control,No bed net,41.4 +Treatment,Bed net,26.2 +Control,No bed net,27.5 +Control,Bed net,44.6 +Treatment,Bed net,40.5 +Treatment,Bed net,58.8 +Control,Bed net,57.4 +Treatment,Bed net,67.5 +Treatment,No bed net,37.8 +Control,No bed net,42.8 +Treatment,Bed net,50 +Control,No bed net,36.2 +Control,Bed net,36.7 +Control,No bed net,28.8 +Control,Bed net,65.8 +Control,No bed net,23.6 +Control,Bed net,62.8 +Treatment,Bed net,70.7 +Treatment,Bed net,47 +Treatment,Bed net,49.3 +Treatment,Bed net,77.7 +Treatment,Bed net,58.9 +Treatment,No bed net,37.9 +Treatment,No bed net,15.6 +Control,No bed net,23.3 +Control,Bed net,75.3 +Control,No bed net,43.7 +Treatment,Bed net,61.1 +Treatment,Bed net,63.7 +Treatment,No bed net,35.2 +Treatment,No bed net,37.6 +Treatment,Bed net,52 +Control,No bed net,30.5 +Treatment,Bed net,60.1 +Control,No bed net,53.4 +Treatment,Bed net,53.5 +Control,No bed net,44.2 +Control,No bed net,42.8 +Treatment,Bed net,55.3 +Control,No bed net,31.6 +Control,No bed net,41.5 diff --git a/docs/_site/files/data/generated_data/bed_nets_time_machine.csv b/docs/_site/files/data/generated_data/bed_nets_time_machine.csv new file mode 100644 index 00000000..98274a14 --- /dev/null +++ b/docs/_site/files/data/generated_data/bed_nets_time_machine.csv @@ -0,0 +1,2001 @@ +status,treatment,bed_net_0,bed_net_1,health_0,health_1,bed_net,health +Never taker,Control,0,0,24.6,14.4,No bed net,24.6 +Complier,Control,0,1,36.4,39.6,No bed net,36.4 +Complier,Treatment,0,1,29.7,49.1,Bed net,49.1 +Complier,Treatment,0,1,38.1,47,Bed net,47 +Always taker,Control,1,1,39.4,58.6,Bed net,58.6 +Complier,Treatment,0,1,39.3,63.9,Bed net,63.9 +Never taker,Treatment,0,0,34.5,10.8,No bed net,34.5 +Never taker,Control,0,0,19.4,34.4,No bed net,19.4 +Complier,Treatment,0,1,53.3,36.6,Bed net,36.6 +Complier,Control,0,1,37.4,48.2,No bed net,37.4 +Complier,Control,0,1,48.1,64.2,No bed net,48.1 +Complier,Treatment,0,1,37,50.7,Bed net,50.7 +Never taker,Treatment,0,0,44.2,47.5,No bed net,44.2 +Always taker,Control,1,1,61.3,57,Bed net,57 +Never taker,Control,0,0,10.4,30.5,No bed net,10.4 +Always taker,Control,1,1,66,49.4,Bed net,49.4 +Never taker,Control,0,0,22.7,49.3,No bed net,22.7 +Never taker,Treatment,0,0,24.2,40,No bed net,24.2 +Never taker,Treatment,0,0,22.7,45.1,No bed net,22.7 +Never taker,Control,0,0,28.9,43.2,No bed net,28.9 +Never taker,Treatment,0,0,28.3,29.8,No bed net,28.3 +Never taker,Treatment,0,0,28,47.9,No bed net,28 +Never taker,Treatment,0,0,24.4,48.8,No bed net,24.4 +Never taker,Control,0,0,53.2,40.9,No bed net,53.2 +Never taker,Control,0,0,47.4,49.2,No bed net,47.4 +Always taker,Treatment,1,1,58.8,50.7,Bed net,50.7 +Complier,Control,0,1,41.7,36,No bed net,41.7 +Always taker,Control,1,1,57.9,66.1,Bed net,66.1 +Always taker,Treatment,1,1,65.5,59.2,Bed net,59.2 +Never taker,Control,0,0,35.6,35.9,No bed net,35.6 +Complier,Treatment,0,1,41.5,59.3,Bed net,59.3 +Never taker,Treatment,0,0,52.6,24.6,No bed net,52.6 +Never taker,Control,0,0,23.8,37.6,No bed net,23.8 +Complier,Control,0,1,33.4,27.1,No bed net,33.4 +Never taker,Control,0,0,44.6,19.3,No bed net,44.6 +Complier,Control,0,1,48.5,59.7,No bed net,48.5 +Never taker,Control,0,0,65.6,45.1,No bed net,65.6 +Never taker,Control,0,0,34,18.7,No bed net,34 +Always taker,Control,1,1,63.7,58.6,Bed net,58.6 +Always taker,Treatment,1,1,41.7,51.5,Bed net,51.5 +Complier,Treatment,0,1,45.1,28.4,Bed net,28.4 +Complier,Treatment,0,1,38.6,64.5,Bed net,64.5 +Never taker,Control,0,0,31.2,11,No bed net,31.2 +Complier,Treatment,0,1,33.2,56.1,Bed net,56.1 +Never taker,Control,0,0,52.5,9.9,No bed net,52.5 +Complier,Treatment,0,1,45.5,48.8,Bed net,48.8 +Complier,Control,0,1,30.9,48.7,No bed net,30.9 +Complier,Control,0,1,46.8,41.8,No bed net,46.8 +Never taker,Control,0,0,35.8,44.2,No bed net,35.8 +Complier,Treatment,0,1,27.6,73.6,Bed net,73.6 +Never taker,Control,0,0,49.3,39.8,No bed net,49.3 +Never taker,Treatment,0,0,38.7,62.9,No bed net,38.7 +Complier,Treatment,0,1,34.1,51.2,Bed net,51.2 +Complier,Control,0,1,29.5,48.6,No bed net,29.5 +Never taker,Treatment,0,0,28.1,42.7,No bed net,28.1 +Complier,Treatment,0,1,45.4,47.5,Bed net,47.5 +Complier,Control,0,1,37.3,48.4,No bed net,37.3 +Complier,Treatment,0,1,30.9,80.5,Bed net,80.5 +Never taker,Control,0,0,38.5,43.9,No bed net,38.5 +Always taker,Treatment,1,1,47.6,48.2,Bed net,48.2 +Always taker,Treatment,1,1,53.6,46.4,Bed net,46.4 +Never taker,Treatment,0,0,36.1,36.5,No bed net,36.1 +Never taker,Control,0,0,41.2,30.8,No bed net,41.2 +Never taker,Control,0,0,39.9,20.3,No bed net,39.9 +Never taker,Control,0,0,35.6,26.2,No bed net,35.6 +Complier,Treatment,0,1,36.7,40.6,Bed net,40.6 +Never taker,Control,0,0,36.1,33.4,No bed net,36.1 +Complier,Control,0,1,25.7,29,No bed net,25.7 +Never taker,Control,0,0,28,43.5,No bed net,28 +Complier,Control,0,1,40.2,76.4,No bed net,40.2 +Never taker,Control,0,0,48.6,37.1,No bed net,48.6 +Always taker,Control,1,1,61.7,48.1,Bed net,48.1 +Never taker,Treatment,0,0,29.8,42.7,No bed net,29.8 +Complier,Control,0,1,31.5,71,No bed net,31.5 +Never taker,Control,0,0,34.8,35.3,No bed net,34.8 +Complier,Treatment,0,1,39.6,40.1,Bed net,40.1 +Never taker,Control,0,0,51.3,24.9,No bed net,51.3 +Never taker,Treatment,0,0,19.9,9.6,No bed net,19.9 +Never taker,Treatment,0,0,31.9,21.8,No bed net,31.9 +Complier,Control,0,1,25.2,74.5,No bed net,25.2 +Always taker,Treatment,1,1,46.4,60.1,Bed net,60.1 +Complier,Control,0,1,30.2,46.2,No bed net,30.2 +Never taker,Control,0,0,43.8,46.9,No bed net,43.8 +Complier,Control,0,1,56.7,65.5,No bed net,56.7 +Never taker,Control,0,0,26.1,16.6,No bed net,26.1 +Always taker,Control,1,1,71.6,71.7,Bed net,71.7 +Never taker,Treatment,0,0,42.8,51.3,No bed net,42.8 +Never taker,Control,0,0,43.2,18.7,No bed net,43.2 +Never taker,Treatment,0,0,55,29.3,No bed net,55 +Always taker,Control,1,1,54.3,43.2,Bed net,43.2 +Never taker,Treatment,0,0,56.6,34,No bed net,56.6 +Always taker,Treatment,1,1,79.9,36.3,Bed net,36.3 +Never taker,Treatment,0,0,47,42.2,No bed net,47 +Never taker,Control,0,0,41.6,17.1,No bed net,41.6 +Never taker,Control,0,0,35,31.9,No bed net,35 +Complier,Control,0,1,36.9,60.5,No bed net,36.9 +Never taker,Control,0,0,33.1,8.8,No bed net,33.1 +Never taker,Treatment,0,0,24.2,65.1,No bed net,24.2 +Never taker,Control,0,0,39.1,29.3,No bed net,39.1 +Complier,Control,0,1,53.8,27.4,No bed net,53.8 +Never taker,Control,0,0,60.1,54.3,No bed net,60.1 +Complier,Treatment,0,1,44.7,82.8,Bed net,82.8 +Never taker,Treatment,0,0,35.4,41.9,No bed net,35.4 +Never taker,Treatment,0,0,24.8,45.9,No bed net,24.8 +Never taker,Treatment,0,0,27.5,41.4,No bed net,27.5 +Never taker,Treatment,0,0,26.8,40.1,No bed net,26.8 +Never taker,Treatment,0,0,32.6,43.2,No bed net,32.6 +Never taker,Treatment,0,0,61.9,41.1,No bed net,61.9 +Complier,Treatment,0,1,34.8,61.2,Bed net,61.2 +Never taker,Treatment,0,0,45.6,27.2,No bed net,45.6 +Complier,Treatment,0,1,39.1,66.9,Bed net,66.9 +Never taker,Treatment,0,0,58.4,30,No bed net,58.4 +Always taker,Control,1,1,63,41.1,Bed net,41.1 +Never taker,Control,0,0,26,15,No bed net,26 +Never taker,Control,0,0,38.5,16.3,No bed net,38.5 +Always taker,Treatment,1,1,63.7,69.9,Bed net,69.9 +Always taker,Treatment,1,1,54.2,66.5,Bed net,66.5 +Never taker,Control,0,0,46.4,17.5,No bed net,46.4 +Never taker,Control,0,0,26,47.5,No bed net,26 +Complier,Control,0,1,36.2,74.4,No bed net,36.2 +Complier,Treatment,0,1,41.6,36.8,Bed net,36.8 +Always taker,Control,1,1,75.1,53.6,Bed net,53.6 +Always taker,Control,1,1,70.7,53.2,Bed net,53.2 +Always taker,Treatment,1,1,40,68.5,Bed net,68.5 +Complier,Control,0,1,35.2,81.7,No bed net,35.2 +Never taker,Treatment,0,0,25.6,37.8,No bed net,25.6 +Never taker,Control,0,0,25.7,49.4,No bed net,25.7 +Complier,Treatment,0,1,38.6,69.6,Bed net,69.6 +Complier,Treatment,0,1,54.5,51.8,Bed net,51.8 +Never taker,Control,0,0,38.4,37.9,No bed net,38.4 +Always taker,Control,1,1,72.4,50.6,Bed net,50.6 +Complier,Control,0,1,39.5,49.9,No bed net,39.5 +Never taker,Control,0,0,34,28.9,No bed net,34 +Complier,Treatment,0,1,30.7,53.8,Bed net,53.8 +Always taker,Treatment,1,1,50.9,45.8,Bed net,45.8 +Complier,Treatment,0,1,49.8,59.4,Bed net,59.4 +Always taker,Control,1,1,53.8,55.3,Bed net,55.3 +Complier,Treatment,0,1,39,64.5,Bed net,64.5 +Complier,Treatment,0,1,33,42.9,Bed net,42.9 +Always taker,Treatment,1,1,62.8,54.5,Bed net,54.5 +Complier,Control,0,1,39,31.5,No bed net,39 +Always taker,Treatment,1,1,70.5,46.3,Bed net,46.3 +Never taker,Control,0,0,44.7,41.7,No bed net,44.7 +Complier,Control,0,1,43.9,72.2,No bed net,43.9 +Never taker,Control,0,0,14,37,No bed net,14 +Complier,Control,0,1,43.8,30.9,No bed net,43.8 +Complier,Control,0,1,37.9,25.8,No bed net,37.9 +Complier,Treatment,0,1,34.2,55,Bed net,55 +Always taker,Treatment,1,1,62.5,56.9,Bed net,56.9 +Complier,Control,0,1,22.8,43.8,No bed net,22.8 +Complier,Treatment,0,1,38.3,54.9,Bed net,54.9 +Never taker,Treatment,0,0,28.1,37.8,No bed net,28.1 +Never taker,Treatment,0,0,28.6,43,No bed net,28.6 +Always taker,Treatment,1,1,57.7,59.3,Bed net,59.3 +Never taker,Control,0,0,47.4,50.9,No bed net,47.4 +Always taker,Treatment,1,1,40.8,55.3,Bed net,55.3 +Complier,Control,0,1,31.1,58.7,No bed net,31.1 +Always taker,Control,1,1,66.2,56.4,Bed net,56.4 +Never taker,Control,0,0,56.1,39.6,No bed net,56.1 +Complier,Control,0,1,47.3,39.2,No bed net,47.3 +Complier,Treatment,0,1,40.4,29.8,Bed net,29.8 +Complier,Control,0,1,16.6,51.4,No bed net,16.6 +Complier,Treatment,0,1,49.8,70.8,Bed net,70.8 +Never taker,Control,0,0,22.5,40.1,No bed net,22.5 +Never taker,Treatment,0,0,50.5,39.5,No bed net,50.5 +Complier,Treatment,0,1,47.5,61.5,Bed net,61.5 +Complier,Control,0,1,43.3,59.6,No bed net,43.3 +Never taker,Treatment,0,0,37.9,54.7,No bed net,37.9 +Always taker,Treatment,1,1,43,52.7,Bed net,52.7 +Never taker,Treatment,0,0,25.7,49.1,No bed net,25.7 +Complier,Treatment,0,1,27.2,50.8,Bed net,50.8 +Complier,Treatment,0,1,45.8,57.7,Bed net,57.7 +Complier,Treatment,0,1,41.6,42.8,Bed net,42.8 +Complier,Control,0,1,52,24.9,No bed net,52 +Never taker,Control,0,0,33.3,23,No bed net,33.3 +Complier,Control,0,1,29.8,70.1,No bed net,29.8 +Complier,Control,0,1,43,51.7,No bed net,43 +Complier,Control,0,1,28.7,48.7,No bed net,28.7 +Never taker,Control,0,0,33,23.2,No bed net,33 +Never taker,Treatment,0,0,47.4,25.9,No bed net,47.4 +Complier,Treatment,0,1,45,39.9,Bed net,39.9 +Never taker,Control,0,0,56.5,27.3,No bed net,56.5 +Complier,Treatment,0,1,39.7,77.6,Bed net,77.6 +Never taker,Treatment,0,0,32.9,44.8,No bed net,32.9 +Always taker,Control,1,1,48,63.6,Bed net,63.6 +Never taker,Treatment,0,0,17.3,28,No bed net,17.3 +Always taker,Treatment,1,1,54.9,47.4,Bed net,47.4 +Complier,Control,0,1,35.7,50.2,No bed net,35.7 +Never taker,Control,0,0,18.7,33.7,No bed net,18.7 +Complier,Treatment,0,1,30.3,34.4,Bed net,34.4 +Complier,Treatment,0,1,41.6,54,Bed net,54 +Always taker,Treatment,1,1,58.7,38.8,Bed net,38.8 +Never taker,Treatment,0,0,37.2,54.2,No bed net,37.2 +Always taker,Treatment,1,1,50.1,47.4,Bed net,47.4 +Always taker,Control,1,1,58.2,53.6,Bed net,53.6 +Always taker,Control,1,1,58.7,52.4,Bed net,52.4 +Always taker,Control,1,1,59.7,56.9,Bed net,56.9 +Complier,Control,0,1,40.3,41.5,No bed net,40.3 +Always taker,Control,1,1,75.5,57.6,Bed net,57.6 +Complier,Control,0,1,35.5,74.3,No bed net,35.5 +Complier,Treatment,0,1,44.3,51.5,Bed net,51.5 +Complier,Control,0,1,45.8,38.3,No bed net,45.8 +Never taker,Control,0,0,47.2,59.7,No bed net,47.2 +Complier,Control,0,1,41.6,56.4,No bed net,41.6 +Complier,Treatment,0,1,31.8,45.3,Bed net,45.3 +Complier,Treatment,0,1,38.8,67,Bed net,67 +Never taker,Control,0,0,22,39.3,No bed net,22 +Complier,Control,0,1,42.3,28.3,No bed net,42.3 +Never taker,Control,0,0,41.7,0,No bed net,41.7 +Always taker,Treatment,1,1,61.8,47.1,Bed net,47.1 +Complier,Treatment,0,1,23.5,61.3,Bed net,61.3 +Never taker,Control,0,0,10.9,41.4,No bed net,10.9 +Never taker,Treatment,0,0,37.2,38.5,No bed net,37.2 +Complier,Control,0,1,47.5,50.3,No bed net,47.5 +Complier,Control,0,1,29.4,62.1,No bed net,29.4 +Always taker,Control,1,1,70.2,67.6,Bed net,67.6 +Complier,Treatment,0,1,38.3,72.9,Bed net,72.9 +Complier,Control,0,1,28.9,40,No bed net,28.9 +Complier,Control,0,1,26.6,83.9,No bed net,26.6 +Always taker,Treatment,1,1,56.8,64,Bed net,64 +Complier,Control,0,1,33.1,56.9,No bed net,33.1 +Never taker,Treatment,0,0,43,44.6,No bed net,43 +Never taker,Control,0,0,36.5,33,No bed net,36.5 +Never taker,Control,0,0,50.3,17.8,No bed net,50.3 +Never taker,Control,0,0,41.4,40.7,No bed net,41.4 +Complier,Control,0,1,19.1,51.7,No bed net,19.1 +Always taker,Control,1,1,54.6,66.3,Bed net,66.3 +Never taker,Treatment,0,0,24.1,20.7,No bed net,24.1 +Complier,Treatment,0,1,36.5,49.1,Bed net,49.1 +Complier,Treatment,0,1,39.8,54.1,Bed net,54.1 +Complier,Treatment,0,1,30.6,62.9,Bed net,62.9 +Complier,Treatment,0,1,46.7,78.3,Bed net,78.3 +Never taker,Treatment,0,0,33.3,35.8,No bed net,33.3 +Always taker,Treatment,1,1,59.1,45.5,Bed net,45.5 +Complier,Treatment,0,1,39.2,61.7,Bed net,61.7 +Never taker,Treatment,0,0,30.7,32.8,No bed net,30.7 +Complier,Treatment,0,1,46.5,49.6,Bed net,49.6 +Never taker,Treatment,0,0,43.6,43.3,No bed net,43.6 +Complier,Treatment,0,1,37.7,35.5,Bed net,35.5 +Always taker,Treatment,1,1,37.8,48.5,Bed net,48.5 +Complier,Control,0,1,43.2,44.8,No bed net,43.2 +Never taker,Treatment,0,0,10.4,43,No bed net,10.4 +Never taker,Control,0,0,31.7,40.3,No bed net,31.7 +Complier,Treatment,0,1,48.4,75.2,Bed net,75.2 +Always taker,Treatment,1,1,59.5,68.3,Bed net,68.3 +Complier,Control,0,1,27,50.7,No bed net,27 +Complier,Control,0,1,36.2,50.3,No bed net,36.2 +Complier,Treatment,0,1,35.3,32.1,Bed net,32.1 +Always taker,Control,1,1,68.4,53.7,Bed net,53.7 +Complier,Control,0,1,24.7,52.4,No bed net,24.7 +Complier,Treatment,0,1,36,57,Bed net,57 +Complier,Control,0,1,30.2,69.6,No bed net,30.2 +Never taker,Control,0,0,50,36,No bed net,50 +Never taker,Control,0,0,34.4,54.7,No bed net,34.4 +Never taker,Control,0,0,64.3,40.4,No bed net,64.3 +Complier,Treatment,0,1,25.6,47.1,Bed net,47.1 +Never taker,Treatment,0,0,43.1,23.4,No bed net,43.1 +Never taker,Control,0,0,50.4,53.5,No bed net,50.4 +Complier,Control,0,1,47.4,59.3,No bed net,47.4 +Complier,Control,0,1,31.6,52.9,No bed net,31.6 +Always taker,Treatment,1,1,59.6,38.6,Bed net,38.6 +Never taker,Treatment,0,0,19.1,28.5,No bed net,19.1 +Complier,Treatment,0,1,27,74.4,Bed net,74.4 +Never taker,Treatment,0,0,44,44,No bed net,44 +Never taker,Treatment,0,0,23.5,25.3,No bed net,23.5 +Never taker,Control,0,0,32.7,37.6,No bed net,32.7 +Complier,Treatment,0,1,46.8,66.3,Bed net,66.3 +Never taker,Treatment,0,0,24.5,28.7,No bed net,24.5 +Never taker,Treatment,0,0,27,46.5,No bed net,27 +Complier,Control,0,1,41.8,49.9,No bed net,41.8 +Never taker,Treatment,0,0,33.2,63.6,No bed net,33.2 +Complier,Treatment,0,1,29.1,35.1,Bed net,35.1 +Never taker,Control,0,0,50.4,21.2,No bed net,50.4 +Complier,Control,0,1,44.2,61.3,No bed net,44.2 +Never taker,Control,0,0,33.2,32.2,No bed net,33.2 +Complier,Treatment,0,1,44.8,55.9,Bed net,55.9 +Always taker,Treatment,1,1,52.9,53.8,Bed net,53.8 +Complier,Treatment,0,1,37.3,63.1,Bed net,63.1 +Never taker,Treatment,0,0,24.2,40.8,No bed net,24.2 +Never taker,Treatment,0,0,40.8,49.2,No bed net,40.8 +Never taker,Control,0,0,32.3,44.6,No bed net,32.3 +Complier,Treatment,0,1,45.6,40.5,Bed net,40.5 +Always taker,Treatment,1,1,64.7,37.5,Bed net,37.5 +Complier,Treatment,0,1,41.4,68.1,Bed net,68.1 +Complier,Control,0,1,29.5,63.1,No bed net,29.5 +Never taker,Treatment,0,0,57.8,31.2,No bed net,57.8 +Complier,Treatment,0,1,34.7,54,Bed net,54 +Never taker,Control,0,0,47.1,28.7,No bed net,47.1 +Complier,Control,0,1,36.7,41.9,No bed net,36.7 +Always taker,Treatment,1,1,39.5,54.1,Bed net,54.1 +Complier,Treatment,0,1,41.3,47,Bed net,47 +Complier,Treatment,0,1,41.9,64.3,Bed net,64.3 +Always taker,Treatment,1,1,54.7,54.2,Bed net,54.2 +Never taker,Control,0,0,28.6,37.3,No bed net,28.6 +Complier,Treatment,0,1,17,69.9,Bed net,69.9 +Complier,Control,0,1,31.6,46.1,No bed net,31.6 +Complier,Control,0,1,33.1,76.5,No bed net,33.1 +Never taker,Treatment,0,0,37.8,41.7,No bed net,37.8 +Complier,Treatment,0,1,32.1,41.2,Bed net,41.2 +Never taker,Control,0,0,45.6,45.1,No bed net,45.6 +Never taker,Control,0,0,54.8,33.6,No bed net,54.8 +Always taker,Control,1,1,62.5,43.3,Bed net,43.3 +Complier,Control,0,1,39.2,41.5,No bed net,39.2 +Complier,Treatment,0,1,48.1,43.8,Bed net,43.8 +Always taker,Treatment,1,1,43.8,55.1,Bed net,55.1 +Complier,Treatment,0,1,45.5,43,Bed net,43 +Never taker,Control,0,0,23.8,20.6,No bed net,23.8 +Always taker,Control,1,1,38.8,44.1,Bed net,44.1 +Complier,Treatment,0,1,48,55.4,Bed net,55.4 +Complier,Control,0,1,41.3,56.6,No bed net,41.3 +Always taker,Treatment,1,1,44.3,45.7,Bed net,45.7 +Complier,Control,0,1,42.1,56.7,No bed net,42.1 +Complier,Treatment,0,1,25.3,43.6,Bed net,43.6 +Complier,Control,0,1,37.6,43.3,No bed net,37.6 +Never taker,Control,0,0,30.5,27.7,No bed net,30.5 +Never taker,Control,0,0,15.2,34.1,No bed net,15.2 +Never taker,Treatment,0,0,24.8,40.4,No bed net,24.8 +Complier,Treatment,0,1,31,46,Bed net,46 +Never taker,Treatment,0,0,22.5,17.1,No bed net,22.5 +Always taker,Treatment,1,1,54.7,46.4,Bed net,46.4 +Never taker,Treatment,0,0,39.8,26.7,No bed net,39.8 +Always taker,Treatment,1,1,57.9,67.6,Bed net,67.6 +Never taker,Control,0,0,21.2,21,No bed net,21.2 +Never taker,Control,0,0,49.9,52.9,No bed net,49.9 +Never taker,Treatment,0,0,30.7,24.5,No bed net,30.7 +Never taker,Treatment,0,0,13.4,33.6,No bed net,13.4 +Complier,Control,0,1,36.5,36,No bed net,36.5 +Never taker,Control,0,0,42.8,19.3,No bed net,42.8 +Complier,Control,0,1,43.3,59,No bed net,43.3 +Always taker,Control,1,1,50.9,64,Bed net,64 +Complier,Control,0,1,47.3,70,No bed net,47.3 +Always taker,Treatment,1,1,50.8,50.3,Bed net,50.3 +Always taker,Control,1,1,67.8,65.8,Bed net,65.8 +Never taker,Treatment,0,0,62.3,16.4,No bed net,62.3 +Complier,Treatment,0,1,32.8,26.7,Bed net,26.7 +Never taker,Control,0,0,31.5,36.2,No bed net,31.5 +Never taker,Treatment,0,0,27.4,42.6,No bed net,27.4 +Never taker,Treatment,0,0,36.2,31.9,No bed net,36.2 +Always taker,Treatment,1,1,57.6,52.1,Bed net,52.1 +Complier,Control,0,1,50.4,76.3,No bed net,50.4 +Always taker,Control,1,1,54.4,52.7,Bed net,52.7 +Never taker,Control,0,0,49,66.6,No bed net,49 +Complier,Control,0,1,49.3,65.6,No bed net,49.3 +Always taker,Control,1,1,53.7,52.4,Bed net,52.4 +Never taker,Treatment,0,0,37.7,27.9,No bed net,37.7 +Never taker,Treatment,0,0,33.2,33.4,No bed net,33.2 +Never taker,Control,0,0,31.9,46.8,No bed net,31.9 +Complier,Control,0,1,26.8,31.1,No bed net,26.8 +Always taker,Treatment,1,1,44.2,46.2,Bed net,46.2 +Never taker,Control,0,0,42.2,35,No bed net,42.2 +Never taker,Treatment,0,0,19.6,59.8,No bed net,19.6 +Complier,Control,0,1,33.8,45.4,No bed net,33.8 +Never taker,Treatment,0,0,49.2,43.4,No bed net,49.2 +Complier,Control,0,1,37.5,43.1,No bed net,37.5 +Always taker,Treatment,1,1,84,50.9,Bed net,50.9 +Always taker,Control,1,1,60.8,53.8,Bed net,53.8 +Complier,Control,0,1,20.3,48.9,No bed net,20.3 +Complier,Control,0,1,14.5,34.8,No bed net,14.5 +Complier,Control,0,1,39.6,59.2,No bed net,39.6 +Complier,Treatment,0,1,31.6,51,Bed net,51 +Never taker,Control,0,0,28.9,35.6,No bed net,28.9 +Complier,Treatment,0,1,36.1,66.7,Bed net,66.7 +Complier,Control,0,1,41.8,51.3,No bed net,41.8 +Never taker,Control,0,0,49.5,20.2,No bed net,49.5 +Always taker,Treatment,1,1,63.6,54,Bed net,54 +Always taker,Treatment,1,1,41.7,50.5,Bed net,50.5 +Complier,Treatment,0,1,41.7,72,Bed net,72 +Never taker,Control,0,0,14.4,24.8,No bed net,14.4 +Always taker,Control,1,1,60,61.6,Bed net,61.6 +Complier,Control,0,1,37.4,45,No bed net,37.4 +Always taker,Treatment,1,1,42.7,39.7,Bed net,39.7 +Never taker,Control,0,0,28.2,43.5,No bed net,28.2 +Always taker,Control,1,1,54.7,51.3,Bed net,51.3 +Complier,Treatment,0,1,49.9,71.9,Bed net,71.9 +Never taker,Control,0,0,44.4,42.8,No bed net,44.4 +Never taker,Control,0,0,56.6,23.5,No bed net,56.6 +Complier,Treatment,0,1,43.2,50.7,Bed net,50.7 +Never taker,Control,0,0,47.8,44.2,No bed net,47.8 +Complier,Treatment,0,1,39.4,33.4,Bed net,33.4 +Complier,Treatment,0,1,18.9,41.5,Bed net,41.5 +Never taker,Treatment,0,0,66.8,13.3,No bed net,66.8 +Never taker,Control,0,0,18.8,18.3,No bed net,18.8 +Never taker,Control,0,0,40.1,28.3,No bed net,40.1 +Never taker,Control,0,0,19.8,21.7,No bed net,19.8 +Never taker,Control,0,0,54.1,45.3,No bed net,54.1 +Never taker,Treatment,0,0,35.5,36.2,No bed net,35.5 +Complier,Control,0,1,33.5,46.2,No bed net,33.5 +Never taker,Control,0,0,44.6,27.6,No bed net,44.6 +Always taker,Treatment,1,1,60.2,67.5,Bed net,67.5 +Always taker,Control,1,1,47.1,71.2,Bed net,71.2 +Complier,Control,0,1,30.1,52.3,No bed net,30.1 +Complier,Treatment,0,1,37.9,48.8,Bed net,48.8 +Complier,Control,0,1,46.1,64.4,No bed net,46.1 +Complier,Treatment,0,1,40,42.2,Bed net,42.2 +Never taker,Control,0,0,34.1,45.4,No bed net,34.1 +Always taker,Treatment,1,1,45.6,44.1,Bed net,44.1 +Complier,Control,0,1,36,58.7,No bed net,36 +Complier,Treatment,0,1,42.2,53.5,Bed net,53.5 +Never taker,Control,0,0,30.3,57,No bed net,30.3 +Never taker,Control,0,0,40.6,51,No bed net,40.6 +Complier,Control,0,1,41.5,60.2,No bed net,41.5 +Complier,Treatment,0,1,45.7,42.5,Bed net,42.5 +Complier,Treatment,0,1,41.3,53.8,Bed net,53.8 +Complier,Control,0,1,41.9,71.5,No bed net,41.9 +Complier,Treatment,0,1,35.5,44.3,Bed net,44.3 +Never taker,Treatment,0,0,55.6,53.1,No bed net,55.6 +Complier,Control,0,1,45.4,38,No bed net,45.4 +Never taker,Treatment,0,0,17.7,17.6,No bed net,17.7 +Complier,Treatment,0,1,43,43.5,Bed net,43.5 +Complier,Treatment,0,1,33.3,38.6,Bed net,38.6 +Complier,Treatment,0,1,33.9,55.2,Bed net,55.2 +Always taker,Treatment,1,1,65,61.2,Bed net,61.2 +Always taker,Treatment,1,1,53,39.4,Bed net,39.4 +Never taker,Control,0,0,29.5,28,No bed net,29.5 +Always taker,Treatment,1,1,61.4,46.7,Bed net,46.7 +Complier,Control,0,1,20.6,71,No bed net,20.6 +Complier,Treatment,0,1,40.7,64,Bed net,64 +Complier,Treatment,0,1,43,64,Bed net,64 +Never taker,Treatment,0,0,43,37.3,No bed net,43 +Complier,Treatment,0,1,37.6,73.6,Bed net,73.6 +Complier,Control,0,1,41.9,63.3,No bed net,41.9 +Always taker,Treatment,1,1,54.3,64.5,Bed net,64.5 +Never taker,Control,0,0,35.4,22.1,No bed net,35.4 +Never taker,Treatment,0,0,29.2,54.6,No bed net,29.2 +Always taker,Control,1,1,56.4,59.1,Bed net,59.1 +Never taker,Treatment,0,0,40.3,27.8,No bed net,40.3 +Never taker,Control,0,0,63.1,14.1,No bed net,63.1 +Complier,Treatment,0,1,36.4,52.4,Bed net,52.4 +Never taker,Treatment,0,0,32.2,46.5,No bed net,32.2 +Never taker,Treatment,0,0,34.2,40,No bed net,34.2 +Complier,Treatment,0,1,36.2,45,Bed net,45 +Complier,Control,0,1,46.8,40.4,No bed net,46.8 +Complier,Treatment,0,1,30.4,51.3,Bed net,51.3 +Always taker,Control,1,1,56.8,58.4,Bed net,58.4 +Never taker,Treatment,0,0,32.8,16.1,No bed net,32.8 +Complier,Treatment,0,1,38.8,55.6,Bed net,55.6 +Never taker,Treatment,0,0,52.7,30.2,No bed net,52.7 +Always taker,Control,1,1,63.3,75.8,Bed net,75.8 +Complier,Treatment,0,1,29.9,84.6,Bed net,84.6 +Complier,Control,0,1,43.6,45.6,No bed net,43.6 +Always taker,Treatment,1,1,66,68.6,Bed net,68.6 +Always taker,Treatment,1,1,51,59.3,Bed net,59.3 +Complier,Control,0,1,23.1,51.3,No bed net,23.1 +Complier,Treatment,0,1,34,77.8,Bed net,77.8 +Always taker,Treatment,1,1,46.6,58.7,Bed net,58.7 +Complier,Control,0,1,46.3,57.1,No bed net,46.3 +Always taker,Treatment,1,1,45,53.6,Bed net,53.6 +Complier,Treatment,0,1,39,79.7,Bed net,79.7 +Complier,Treatment,0,1,43.5,50.1,Bed net,50.1 +Never taker,Control,0,0,28.6,33.5,No bed net,28.6 +Never taker,Control,0,0,33.9,28.7,No bed net,33.9 +Complier,Treatment,0,1,49.6,81.4,Bed net,81.4 +Always taker,Treatment,1,1,71.4,63.4,Bed net,63.4 +Always taker,Treatment,1,1,42.8,68.2,Bed net,68.2 +Complier,Treatment,0,1,29.7,78.2,Bed net,78.2 +Complier,Control,0,1,33.3,53.5,No bed net,33.3 +Never taker,Control,0,0,47.2,36.6,No bed net,47.2 +Complier,Control,0,1,31.5,41.3,No bed net,31.5 +Complier,Treatment,0,1,37.8,67.7,Bed net,67.7 +Never taker,Treatment,0,0,49.1,52.5,No bed net,49.1 +Never taker,Treatment,0,0,37.2,31.7,No bed net,37.2 +Always taker,Treatment,1,1,68.9,64.8,Bed net,64.8 +Never taker,Treatment,0,0,18.1,42.7,No bed net,18.1 +Complier,Control,0,1,27.1,60.6,No bed net,27.1 +Never taker,Control,0,0,34.5,53.6,No bed net,34.5 +Never taker,Treatment,0,0,39.9,23.7,No bed net,39.9 +Complier,Control,0,1,29.1,52.6,No bed net,29.1 +Never taker,Control,0,0,54,43.7,No bed net,54 +Complier,Treatment,0,1,45.5,57.6,Bed net,57.6 +Complier,Treatment,0,1,41.1,70.3,Bed net,70.3 +Never taker,Control,0,0,25.8,35.6,No bed net,25.8 +Never taker,Treatment,0,0,32.7,21.9,No bed net,32.7 +Never taker,Treatment,0,0,27.2,59,No bed net,27.2 +Always taker,Treatment,1,1,59.7,43,Bed net,43 +Never taker,Treatment,0,0,32.6,52.8,No bed net,32.6 +Always taker,Treatment,1,1,63.3,88.8,Bed net,88.8 +Complier,Treatment,0,1,48.7,63.3,Bed net,63.3 +Complier,Treatment,0,1,34.2,38.7,Bed net,38.7 +Complier,Control,0,1,41.3,54.2,No bed net,41.3 +Never taker,Treatment,0,0,37.7,41.5,No bed net,37.7 +Complier,Control,0,1,39.7,62.5,No bed net,39.7 +Complier,Control,0,1,25.5,70.2,No bed net,25.5 +Complier,Treatment,0,1,44.4,67.3,Bed net,67.3 +Never taker,Control,0,0,21,43,No bed net,21 +Never taker,Treatment,0,0,27.7,41.6,No bed net,27.7 +Never taker,Control,0,0,13.7,57.3,No bed net,13.7 +Complier,Control,0,1,25.7,67,No bed net,25.7 +Complier,Control,0,1,38.5,48,No bed net,38.5 +Complier,Treatment,0,1,37.3,93.5,Bed net,93.5 +Never taker,Treatment,0,0,41.4,3.6,No bed net,41.4 +Complier,Control,0,1,31.1,27.6,No bed net,31.1 +Complier,Control,0,1,29.5,76.3,No bed net,29.5 +Always taker,Treatment,1,1,57.8,34.6,Bed net,34.6 +Never taker,Control,0,0,38.1,31.8,No bed net,38.1 +Complier,Treatment,0,1,30.4,44.3,Bed net,44.3 +Never taker,Treatment,0,0,16.1,49.5,No bed net,16.1 +Complier,Treatment,0,1,30.7,27.3,Bed net,27.3 +Never taker,Control,0,0,37,42.2,No bed net,37 +Complier,Control,0,1,32.4,63.4,No bed net,32.4 +Complier,Control,0,1,37.9,52.4,No bed net,37.9 +Complier,Treatment,0,1,38.8,43.3,Bed net,43.3 +Always taker,Control,1,1,61.2,66.3,Bed net,66.3 +Always taker,Control,1,1,42.7,70.8,Bed net,70.8 +Never taker,Control,0,0,14.4,24,No bed net,14.4 +Complier,Treatment,0,1,46.8,49.6,Bed net,49.6 +Always taker,Control,1,1,39.8,68.2,Bed net,68.2 +Complier,Control,0,1,39.7,28.5,No bed net,39.7 +Always taker,Control,1,1,58.9,55.9,Bed net,55.9 +Never taker,Treatment,0,0,32.5,38.8,No bed net,32.5 +Complier,Treatment,0,1,30.1,76.3,Bed net,76.3 +Never taker,Control,0,0,48.7,35.7,No bed net,48.7 +Always taker,Control,1,1,60.3,44.7,Bed net,44.7 +Always taker,Treatment,1,1,46.3,58.7,Bed net,58.7 +Complier,Control,0,1,53.1,73.2,No bed net,53.1 +Never taker,Treatment,0,0,42.7,56.9,No bed net,42.7 +Complier,Control,0,1,33.8,62.6,No bed net,33.8 +Complier,Control,0,1,34.9,56,No bed net,34.9 +Never taker,Treatment,0,0,51.9,40.6,No bed net,51.9 +Complier,Treatment,0,1,38.4,60.4,Bed net,60.4 +Never taker,Control,0,0,27.5,47.1,No bed net,27.5 +Always taker,Control,1,1,41.6,39.9,Bed net,39.9 +Never taker,Control,0,0,54.7,33.7,No bed net,54.7 +Never taker,Treatment,0,0,42.4,46.3,No bed net,42.4 +Always taker,Treatment,1,1,46.2,65.7,Bed net,65.7 +Complier,Treatment,0,1,44.5,44.6,Bed net,44.6 +Always taker,Control,1,1,51.4,67.3,Bed net,67.3 +Never taker,Control,0,0,32.8,51.1,No bed net,32.8 +Never taker,Control,0,0,47.1,40.8,No bed net,47.1 +Complier,Treatment,0,1,37.3,33.5,Bed net,33.5 +Never taker,Treatment,0,0,43.7,24.6,No bed net,43.7 +Never taker,Treatment,0,0,18,45.9,No bed net,18 +Complier,Treatment,0,1,38.9,93.7,Bed net,93.7 +Complier,Control,0,1,32.3,45.6,No bed net,32.3 +Complier,Treatment,0,1,30,39.6,Bed net,39.6 +Never taker,Control,0,0,43.1,34.5,No bed net,43.1 +Always taker,Control,1,1,41,42.3,Bed net,42.3 +Complier,Control,0,1,42.4,55.7,No bed net,42.4 +Complier,Control,0,1,26.2,60,No bed net,26.2 +Complier,Treatment,0,1,39.1,43.9,Bed net,43.9 +Complier,Treatment,0,1,34.4,63.1,Bed net,63.1 +Never taker,Control,0,0,63.4,35.1,No bed net,63.4 +Complier,Control,0,1,32.8,67.1,No bed net,32.8 +Always taker,Control,1,1,68.7,69.2,Bed net,69.2 +Never taker,Control,0,0,34.7,48.5,No bed net,34.7 +Complier,Treatment,0,1,41.1,43.4,Bed net,43.4 +Complier,Control,0,1,45.4,45.4,No bed net,45.4 +Always taker,Treatment,1,1,60.7,52.5,Bed net,52.5 +Always taker,Control,1,1,55.5,54.6,Bed net,54.6 +Always taker,Treatment,1,1,42.7,35.6,Bed net,35.6 +Always taker,Control,1,1,47,51,Bed net,51 +Never taker,Treatment,0,0,40.7,29.9,No bed net,40.7 +Never taker,Control,0,0,34.1,41.6,No bed net,34.1 +Complier,Treatment,0,1,35.3,47.4,Bed net,47.4 +Never taker,Treatment,0,0,19.8,6.7,No bed net,19.8 +Always taker,Control,1,1,62.5,48.7,Bed net,48.7 +Always taker,Control,1,1,54.9,56.6,Bed net,56.6 +Complier,Treatment,0,1,16,41.1,Bed net,41.1 +Never taker,Control,0,0,26,39.4,No bed net,26 +Complier,Control,0,1,49.5,26.1,No bed net,49.5 +Always taker,Control,1,1,55,63,Bed net,63 +Never taker,Control,0,0,48.7,42.3,No bed net,48.7 +Always taker,Treatment,1,1,53.5,66,Bed net,66 +Complier,Control,0,1,30.5,50.5,No bed net,30.5 +Always taker,Treatment,1,1,67,53.3,Bed net,53.3 +Never taker,Control,0,0,37.2,28.6,No bed net,37.2 +Always taker,Treatment,1,1,52.6,66.7,Bed net,66.7 +Complier,Treatment,0,1,41.6,40.5,Bed net,40.5 +Complier,Control,0,1,48.2,57.2,No bed net,48.2 +Never taker,Treatment,0,0,40.8,26.1,No bed net,40.8 +Never taker,Control,0,0,20.5,47.6,No bed net,20.5 +Complier,Treatment,0,1,20,61.1,Bed net,61.1 +Always taker,Control,1,1,49.9,69.4,Bed net,69.4 +Never taker,Control,0,0,26,27,No bed net,26 +Complier,Control,0,1,30.5,50,No bed net,30.5 +Complier,Treatment,0,1,48.7,60.6,Bed net,60.6 +Never taker,Control,0,0,22.3,37.5,No bed net,22.3 +Never taker,Treatment,0,0,33.2,17,No bed net,33.2 +Complier,Treatment,0,1,47.9,32.7,Bed net,32.7 +Complier,Treatment,0,1,42.6,27.1,Bed net,27.1 +Always taker,Treatment,1,1,54.9,39.4,Bed net,39.4 +Always taker,Treatment,1,1,53.5,69.3,Bed net,69.3 +Never taker,Control,0,0,22.5,53.3,No bed net,22.5 +Complier,Treatment,0,1,48.4,56.8,Bed net,56.8 +Never taker,Treatment,0,0,38,27.3,No bed net,38 +Never taker,Control,0,0,49.9,52.2,No bed net,49.9 +Never taker,Control,0,0,44.2,40.9,No bed net,44.2 +Never taker,Treatment,0,0,54,55.9,No bed net,54 +Always taker,Treatment,1,1,73,57.2,Bed net,57.2 +Always taker,Control,1,1,44.1,44,Bed net,44 +Complier,Treatment,0,1,31.6,65.5,Bed net,65.5 +Always taker,Control,1,1,79.5,47.3,Bed net,47.3 +Always taker,Control,1,1,52.1,71.5,Bed net,71.5 +Never taker,Treatment,0,0,42.2,36.9,No bed net,42.2 +Complier,Treatment,0,1,48,31.4,Bed net,31.4 +Never taker,Control,0,0,40.5,21.9,No bed net,40.5 +Complier,Treatment,0,1,20,65.6,Bed net,65.6 +Complier,Treatment,0,1,36.8,36,Bed net,36 +Complier,Control,0,1,39.3,52.4,No bed net,39.3 +Complier,Treatment,0,1,48.6,34.3,Bed net,34.3 +Never taker,Treatment,0,0,28.7,21.8,No bed net,28.7 +Never taker,Treatment,0,0,39.2,40.5,No bed net,39.2 +Never taker,Treatment,0,0,45.7,41.6,No bed net,45.7 +Never taker,Treatment,0,0,42.8,30,No bed net,42.8 +Complier,Treatment,0,1,30.1,56.9,Bed net,56.9 +Complier,Treatment,0,1,30.1,52.6,Bed net,52.6 +Never taker,Treatment,0,0,41.5,46,No bed net,41.5 +Always taker,Treatment,1,1,45.4,72.8,Bed net,72.8 +Never taker,Treatment,0,0,26.6,26.2,No bed net,26.6 +Complier,Control,0,1,42.5,54.1,No bed net,42.5 +Never taker,Control,0,0,18.3,60.4,No bed net,18.3 +Never taker,Treatment,0,0,12.8,36.1,No bed net,12.8 +Always taker,Treatment,1,1,51.8,48.4,Bed net,48.4 +Never taker,Treatment,0,0,19.7,28.8,No bed net,19.7 +Never taker,Control,0,0,39.5,34.6,No bed net,39.5 +Always taker,Control,1,1,58.5,39.3,Bed net,39.3 +Never taker,Control,0,0,29.7,37,No bed net,29.7 +Never taker,Control,0,0,33,38.7,No bed net,33 +Complier,Treatment,0,1,35,42,Bed net,42 +Complier,Treatment,0,1,51.8,51.9,Bed net,51.9 +Complier,Control,0,1,34.4,58.9,No bed net,34.4 +Always taker,Control,1,1,64,53.3,Bed net,53.3 +Never taker,Treatment,0,0,29.7,58,No bed net,29.7 +Complier,Treatment,0,1,54.8,20.8,Bed net,20.8 +Always taker,Treatment,1,1,50.8,54.9,Bed net,54.9 +Never taker,Control,0,0,45.2,34.2,No bed net,45.2 +Always taker,Control,1,1,65.6,47.9,Bed net,47.9 +Complier,Treatment,0,1,39.6,55.6,Bed net,55.6 +Always taker,Control,1,1,57.9,40.4,Bed net,40.4 +Never taker,Treatment,0,0,26.6,23.5,No bed net,26.6 +Complier,Control,0,1,44.3,45.7,No bed net,44.3 +Always taker,Control,1,1,47.7,46.2,Bed net,46.2 +Complier,Control,0,1,54.1,41.8,No bed net,54.1 +Complier,Control,0,1,33.8,57.3,No bed net,33.8 +Complier,Control,0,1,34.6,51.2,No bed net,34.6 +Always taker,Control,1,1,76.5,50.3,Bed net,50.3 +Always taker,Control,1,1,64.8,46.7,Bed net,46.7 +Never taker,Treatment,0,0,39.9,56.5,No bed net,39.9 +Always taker,Control,1,1,64.4,66.4,Bed net,66.4 +Never taker,Control,0,0,25.8,27.4,No bed net,25.8 +Never taker,Control,0,0,30.5,20.1,No bed net,30.5 +Complier,Control,0,1,53.5,61,No bed net,53.5 +Never taker,Treatment,0,0,41.9,50.4,No bed net,41.9 +Complier,Treatment,0,1,38.3,47.7,Bed net,47.7 +Always taker,Control,1,1,50.1,44,Bed net,44 +Never taker,Control,0,0,44.2,42.8,No bed net,44.2 +Never taker,Treatment,0,0,29.4,34.1,No bed net,29.4 +Never taker,Treatment,0,0,45.6,49.8,No bed net,45.6 +Always taker,Control,1,1,50.5,51.9,Bed net,51.9 +Complier,Treatment,0,1,32,62.7,Bed net,62.7 +Always taker,Treatment,1,1,52.8,31.4,Bed net,31.4 +Never taker,Treatment,0,0,44.5,29.3,No bed net,44.5 +Complier,Control,0,1,38.6,71.3,No bed net,38.6 +Always taker,Treatment,1,1,64.5,56.3,Bed net,56.3 +Complier,Control,0,1,49.8,34.8,No bed net,49.8 +Never taker,Control,0,0,59.6,11.7,No bed net,59.6 +Complier,Control,0,1,40.4,75.6,No bed net,40.4 +Always taker,Control,1,1,60.9,37,Bed net,37 +Never taker,Control,0,0,41.4,34,No bed net,41.4 +Never taker,Treatment,0,0,32.9,21.2,No bed net,32.9 +Always taker,Control,1,1,54.8,61.4,Bed net,61.4 +Complier,Treatment,0,1,41.1,36,Bed net,36 +Always taker,Control,1,1,40.4,51.5,Bed net,51.5 +Always taker,Treatment,1,1,57.6,81.2,Bed net,81.2 +Never taker,Control,0,0,34.6,51.2,No bed net,34.6 +Never taker,Treatment,0,0,37.1,24.5,No bed net,37.1 +Complier,Control,0,1,20.4,66.4,No bed net,20.4 +Complier,Control,0,1,48.5,54.5,No bed net,48.5 +Never taker,Control,0,0,48.6,51.3,No bed net,48.6 +Complier,Treatment,0,1,33.4,72.9,Bed net,72.9 +Complier,Control,0,1,30.4,61.1,No bed net,30.4 +Never taker,Treatment,0,0,17.7,18.2,No bed net,17.7 +Always taker,Treatment,1,1,52.4,54.6,Bed net,54.6 +Never taker,Control,0,0,49.7,70.2,No bed net,49.7 +Never taker,Treatment,0,0,35.6,18.5,No bed net,35.6 +Always taker,Treatment,1,1,47.1,53.1,Bed net,53.1 +Always taker,Control,1,1,40.5,63.1,Bed net,63.1 +Complier,Control,0,1,46.9,53.8,No bed net,46.9 +Always taker,Treatment,1,1,57.9,31.1,Bed net,31.1 +Never taker,Treatment,0,0,19.7,53.7,No bed net,19.7 +Always taker,Control,1,1,47.4,59.9,Bed net,59.9 +Complier,Treatment,0,1,22,68.3,Bed net,68.3 +Never taker,Treatment,0,0,25,25.3,No bed net,25 +Complier,Treatment,0,1,38,69.1,Bed net,69.1 +Never taker,Treatment,0,0,44.4,34,No bed net,44.4 +Always taker,Control,1,1,42.9,62.4,Bed net,62.4 +Never taker,Treatment,0,0,27.2,42.7,No bed net,27.2 +Always taker,Control,1,1,63.7,55,Bed net,55 +Never taker,Treatment,0,0,28.7,35.1,No bed net,28.7 +Complier,Control,0,1,36.3,74.9,No bed net,36.3 +Complier,Treatment,0,1,48.8,44.4,Bed net,44.4 +Always taker,Treatment,1,1,67.5,55.4,Bed net,55.4 +Complier,Treatment,0,1,31.3,51.8,Bed net,51.8 +Never taker,Treatment,0,0,42,36,No bed net,42 +Complier,Control,0,1,39.3,48.3,No bed net,39.3 +Never taker,Control,0,0,39.3,56.1,No bed net,39.3 +Never taker,Treatment,0,0,11.1,34,No bed net,11.1 +Never taker,Treatment,0,0,26.5,40.1,No bed net,26.5 +Complier,Treatment,0,1,19.6,48.6,Bed net,48.6 +Never taker,Treatment,0,0,33.9,37,No bed net,33.9 +Complier,Control,0,1,39.5,64.6,No bed net,39.5 +Never taker,Treatment,0,0,47.7,54.9,No bed net,47.7 +Complier,Control,0,1,41.2,59.1,No bed net,41.2 +Complier,Treatment,0,1,29.6,35.8,Bed net,35.8 +Complier,Control,0,1,40.2,46.3,No bed net,40.2 +Never taker,Treatment,0,0,43.8,36.6,No bed net,43.8 +Never taker,Control,0,0,31.5,28.5,No bed net,31.5 +Complier,Treatment,0,1,36.3,45.5,Bed net,45.5 +Complier,Control,0,1,25.2,53,No bed net,25.2 +Never taker,Treatment,0,0,34.7,24.7,No bed net,34.7 +Complier,Control,0,1,43.1,46.4,No bed net,43.1 +Complier,Treatment,0,1,28.5,61,Bed net,61 +Always taker,Control,1,1,58.9,51.9,Bed net,51.9 +Always taker,Treatment,1,1,54.3,66,Bed net,66 +Never taker,Control,0,0,41.1,36.6,No bed net,41.1 +Never taker,Control,0,0,32.8,67.7,No bed net,32.8 +Never taker,Control,0,0,18.6,19.4,No bed net,18.6 +Complier,Treatment,0,1,31.4,46.9,Bed net,46.9 +Never taker,Treatment,0,0,11.2,30.4,No bed net,11.2 +Always taker,Control,1,1,71,54.4,Bed net,54.4 +Never taker,Treatment,0,0,21.5,29.4,No bed net,21.5 +Always taker,Control,1,1,62.6,52.8,Bed net,52.8 +Never taker,Control,0,0,35,23.8,No bed net,35 +Always taker,Treatment,1,1,55.4,44.7,Bed net,44.7 +Never taker,Treatment,0,0,28.3,25,No bed net,28.3 +Complier,Treatment,0,1,40.7,54.8,Bed net,54.8 +Always taker,Treatment,1,1,42.6,50.1,Bed net,50.1 +Complier,Treatment,0,1,36.3,45.1,Bed net,45.1 +Never taker,Control,0,0,30.4,33.9,No bed net,30.4 +Never taker,Control,0,0,44.8,44.1,No bed net,44.8 +Always taker,Control,1,1,39.9,53.5,Bed net,53.5 +Always taker,Control,1,1,47.3,48.4,Bed net,48.4 +Never taker,Control,0,0,36.5,35,No bed net,36.5 +Never taker,Treatment,0,0,13.9,47.4,No bed net,13.9 +Complier,Treatment,0,1,42.8,64.9,Bed net,64.9 +Complier,Control,0,1,28.3,66.6,No bed net,28.3 +Complier,Treatment,0,1,45.2,41.3,Bed net,41.3 +Complier,Control,0,1,54.2,44.8,No bed net,54.2 +Always taker,Treatment,1,1,60.8,54.2,Bed net,54.2 +Always taker,Treatment,1,1,58,65.2,Bed net,65.2 +Always taker,Control,1,1,63.6,73.8,Bed net,73.8 +Never taker,Control,0,0,30.4,37.2,No bed net,30.4 +Never taker,Control,0,0,27.3,56.5,No bed net,27.3 +Never taker,Treatment,0,0,10.5,28.1,No bed net,10.5 +Never taker,Control,0,0,37.6,24.3,No bed net,37.6 +Complier,Treatment,0,1,47.9,53.4,Bed net,53.4 +Never taker,Treatment,0,0,33.1,32.1,No bed net,33.1 +Complier,Treatment,0,1,29.1,42.3,Bed net,42.3 +Complier,Treatment,0,1,41.4,19.6,Bed net,19.6 +Never taker,Control,0,0,34.7,55,No bed net,34.7 +Complier,Treatment,0,1,27.8,65.1,Bed net,65.1 +Complier,Control,0,1,42.1,53.5,No bed net,42.1 +Complier,Treatment,0,1,39.4,59.8,Bed net,59.8 +Never taker,Treatment,0,0,36.7,49.8,No bed net,36.7 +Always taker,Control,1,1,56.7,45.4,Bed net,45.4 +Never taker,Control,0,0,13.8,24.2,No bed net,13.8 +Always taker,Control,1,1,43.7,57.3,Bed net,57.3 +Complier,Treatment,0,1,44.9,55.7,Bed net,55.7 +Always taker,Treatment,1,1,58,56,Bed net,56 +Never taker,Control,0,0,49,45.8,No bed net,49 +Complier,Treatment,0,1,31.7,54.6,Bed net,54.6 +Never taker,Control,0,0,20.7,22.5,No bed net,20.7 +Complier,Treatment,0,1,38.3,53.6,Bed net,53.6 +Never taker,Treatment,0,0,18.2,47.3,No bed net,18.2 +Complier,Treatment,0,1,37.1,78.1,Bed net,78.1 +Never taker,Treatment,0,0,45.1,23.2,No bed net,45.1 +Complier,Control,0,1,19.7,54.7,No bed net,19.7 +Always taker,Control,1,1,42.7,62.2,Bed net,62.2 +Complier,Treatment,0,1,44.5,47.6,Bed net,47.6 +Complier,Treatment,0,1,33.1,38.9,Bed net,38.9 +Never taker,Control,0,0,41.8,23.4,No bed net,41.8 +Always taker,Treatment,1,1,61,39.1,Bed net,39.1 +Always taker,Treatment,1,1,40.1,60.5,Bed net,60.5 +Always taker,Control,1,1,40.3,62.3,Bed net,62.3 +Never taker,Control,0,0,43.4,44.7,No bed net,43.4 +Complier,Treatment,0,1,41.8,64.7,Bed net,64.7 +Complier,Treatment,0,1,36.8,43.8,Bed net,43.8 +Never taker,Control,0,0,17.3,34.4,No bed net,17.3 +Never taker,Treatment,0,0,46,35.4,No bed net,46 +Complier,Control,0,1,35.7,39.4,No bed net,35.7 +Never taker,Treatment,0,0,37.6,16.9,No bed net,37.6 +Always taker,Treatment,1,1,68,49.8,Bed net,49.8 +Never taker,Treatment,0,0,54.8,36.2,No bed net,54.8 +Never taker,Control,0,0,33.7,31.8,No bed net,33.7 +Never taker,Control,0,0,40.9,32.9,No bed net,40.9 +Never taker,Treatment,0,0,29.4,32.8,No bed net,29.4 +Complier,Control,0,1,29.4,42.8,No bed net,29.4 +Always taker,Control,1,1,46,58.2,Bed net,58.2 +Never taker,Treatment,0,0,24.3,34.8,No bed net,24.3 +Complier,Treatment,0,1,43.1,39.5,Bed net,39.5 +Never taker,Control,0,0,32.3,24.3,No bed net,32.3 +Complier,Control,0,1,43.8,55.8,No bed net,43.8 +Never taker,Treatment,0,0,17.5,40,No bed net,17.5 +Complier,Control,0,1,41.3,55.3,No bed net,41.3 +Complier,Treatment,0,1,30.2,28.7,Bed net,28.7 +Complier,Control,0,1,35.9,33.5,No bed net,35.9 +Never taker,Treatment,0,0,50.6,44.3,No bed net,50.6 +Complier,Control,0,1,46.4,58.2,No bed net,46.4 +Always taker,Treatment,1,1,55.5,60.1,Bed net,60.1 +Never taker,Control,0,0,22.7,30.8,No bed net,22.7 +Always taker,Treatment,1,1,50.6,58.6,Bed net,58.6 +Never taker,Control,0,0,43.6,48.1,No bed net,43.6 +Always taker,Treatment,1,1,41.7,84.7,Bed net,84.7 +Complier,Control,0,1,41,60.8,No bed net,41 +Never taker,Control,0,0,55.1,24.5,No bed net,55.1 +Never taker,Treatment,0,0,40.9,26.4,No bed net,40.9 +Complier,Treatment,0,1,35.5,39.4,Bed net,39.4 +Never taker,Control,0,0,37.3,23.8,No bed net,37.3 +Complier,Control,0,1,29.3,53.3,No bed net,29.3 +Complier,Treatment,0,1,34.9,77.1,Bed net,77.1 +Complier,Treatment,0,1,33.1,57.8,Bed net,57.8 +Complier,Treatment,0,1,43.9,58.6,Bed net,58.6 +Never taker,Treatment,0,0,41.5,38.3,No bed net,41.5 +Always taker,Treatment,1,1,51.2,52.2,Bed net,52.2 +Complier,Treatment,0,1,28.8,50.3,Bed net,50.3 +Never taker,Treatment,0,0,40.3,39,No bed net,40.3 +Never taker,Treatment,0,0,15.9,45.1,No bed net,15.9 +Never taker,Treatment,0,0,30.5,35.1,No bed net,30.5 +Always taker,Treatment,1,1,50.9,65.3,Bed net,65.3 +Complier,Treatment,0,1,35,31.7,Bed net,31.7 +Complier,Treatment,0,1,50,69,Bed net,69 +Never taker,Treatment,0,0,24.3,11.9,No bed net,24.3 +Never taker,Treatment,0,0,37.7,34.3,No bed net,37.7 +Never taker,Control,0,0,17.7,40.6,No bed net,17.7 +Never taker,Control,0,0,36.3,37,No bed net,36.3 +Never taker,Treatment,0,0,23.9,39.9,No bed net,23.9 +Complier,Control,0,1,37.1,52.3,No bed net,37.1 +Never taker,Treatment,0,0,25.5,15.2,No bed net,25.5 +Never taker,Treatment,0,0,59.3,31.8,No bed net,59.3 +Never taker,Control,0,0,30.1,27.1,No bed net,30.1 +Complier,Control,0,1,27,55.8,No bed net,27 +Never taker,Treatment,0,0,29.7,34,No bed net,29.7 +Always taker,Treatment,1,1,51.6,41.1,Bed net,41.1 +Always taker,Treatment,1,1,52.5,45.2,Bed net,45.2 +Always taker,Treatment,1,1,62.4,59.4,Bed net,59.4 +Never taker,Control,0,0,34.1,16.7,No bed net,34.1 +Complier,Control,0,1,43.1,55.4,No bed net,43.1 +Complier,Treatment,0,1,35.8,77.3,Bed net,77.3 +Never taker,Treatment,0,0,41.3,44.2,No bed net,41.3 +Complier,Treatment,0,1,26.9,35.4,Bed net,35.4 +Complier,Control,0,1,23.3,54.3,No bed net,23.3 +Never taker,Control,0,0,49.3,26.3,No bed net,49.3 +Complier,Treatment,0,1,38.6,74.7,Bed net,74.7 +Complier,Control,0,1,41.8,61.6,No bed net,41.8 +Never taker,Treatment,0,0,14.6,40.9,No bed net,14.6 +Complier,Treatment,0,1,32.6,56.8,Bed net,56.8 +Always taker,Control,1,1,60.5,57.1,Bed net,57.1 +Complier,Treatment,0,1,28.2,49.5,Bed net,49.5 +Always taker,Control,1,1,71.3,56.5,Bed net,56.5 +Complier,Control,0,1,29.5,60.8,No bed net,29.5 +Complier,Control,0,1,43.6,46.8,No bed net,43.6 +Complier,Control,0,1,44.3,44.9,No bed net,44.3 +Always taker,Treatment,1,1,55.8,57.2,Bed net,57.2 +Always taker,Control,1,1,60.3,41.3,Bed net,41.3 +Never taker,Control,0,0,39.6,36,No bed net,39.6 +Complier,Treatment,0,1,49.9,67.1,Bed net,67.1 +Complier,Treatment,0,1,39,86.4,Bed net,86.4 +Never taker,Control,0,0,39.5,28,No bed net,39.5 +Never taker,Treatment,0,0,49.6,34.4,No bed net,49.6 +Complier,Treatment,0,1,43,76,Bed net,76 +Always taker,Control,1,1,63.6,65.2,Bed net,65.2 +Never taker,Treatment,0,0,46.8,44,No bed net,46.8 +Complier,Treatment,0,1,32.4,67.6,Bed net,67.6 +Never taker,Treatment,0,0,32.6,45.4,No bed net,32.6 +Complier,Control,0,1,32.1,64.8,No bed net,32.1 +Never taker,Treatment,0,0,34.7,44.6,No bed net,34.7 +Always taker,Treatment,1,1,50.5,52.9,Bed net,52.9 +Never taker,Treatment,0,0,32.5,28.6,No bed net,32.5 +Always taker,Control,1,1,44.1,65.5,Bed net,65.5 +Never taker,Control,0,0,31.5,32.5,No bed net,31.5 +Complier,Control,0,1,21.9,90.4,No bed net,21.9 +Always taker,Control,1,1,71.4,58,Bed net,58 +Always taker,Control,1,1,68.8,42.4,Bed net,42.4 +Always taker,Treatment,1,1,48.4,55.4,Bed net,55.4 +Never taker,Treatment,0,0,24.7,50.3,No bed net,24.7 +Complier,Treatment,0,1,38,59.2,Bed net,59.2 +Never taker,Treatment,0,0,26.5,41.9,No bed net,26.5 +Never taker,Control,0,0,39.7,14.5,No bed net,39.7 +Never taker,Control,0,0,25.2,40.1,No bed net,25.2 +Complier,Treatment,0,1,48.6,43.2,Bed net,43.2 +Complier,Treatment,0,1,45.8,69.8,Bed net,69.8 +Complier,Control,0,1,17.5,43.5,No bed net,17.5 +Never taker,Control,0,0,18.1,46.5,No bed net,18.1 +Complier,Treatment,0,1,34.1,74.5,Bed net,74.5 +Complier,Control,0,1,41,59.2,No bed net,41 +Complier,Control,0,1,42.4,65.1,No bed net,42.4 +Always taker,Control,1,1,55.3,55.2,Bed net,55.2 +Never taker,Control,0,0,21.6,41.4,No bed net,21.6 +Never taker,Treatment,0,0,28,36.8,No bed net,28 +Never taker,Control,0,0,54.7,19.4,No bed net,54.7 +Never taker,Treatment,0,0,43.4,39,No bed net,43.4 +Always taker,Control,1,1,51.1,53.8,Bed net,53.8 +Complier,Treatment,0,1,32.3,76,Bed net,76 +Complier,Treatment,0,1,27.9,55.6,Bed net,55.6 +Never taker,Control,0,0,48.4,55.2,No bed net,48.4 +Never taker,Treatment,0,0,35.9,36.5,No bed net,35.9 +Never taker,Treatment,0,0,32.6,36.6,No bed net,32.6 +Complier,Control,0,1,33.4,60.5,No bed net,33.4 +Complier,Control,0,1,43.7,36.5,No bed net,43.7 +Always taker,Treatment,1,1,57.8,52.3,Bed net,52.3 +Always taker,Treatment,1,1,50.6,48.7,Bed net,48.7 +Complier,Treatment,0,1,33.7,49.7,Bed net,49.7 +Complier,Treatment,0,1,28.8,57.5,Bed net,57.5 +Always taker,Control,1,1,48.8,53.4,Bed net,53.4 +Complier,Control,0,1,39.6,51.8,No bed net,39.6 +Always taker,Control,1,1,49.3,63.7,Bed net,63.7 +Never taker,Treatment,0,0,39.8,35.2,No bed net,39.8 +Never taker,Control,0,0,21.3,46.6,No bed net,21.3 +Never taker,Treatment,0,0,36.9,33.3,No bed net,36.9 +Complier,Control,0,1,36.1,49.1,No bed net,36.1 +Never taker,Treatment,0,0,50.4,37.8,No bed net,50.4 +Never taker,Treatment,0,0,46.6,14.6,No bed net,46.6 +Complier,Treatment,0,1,33.4,63.5,Bed net,63.5 +Never taker,Treatment,0,0,51.6,39.1,No bed net,51.6 +Never taker,Treatment,0,0,46.2,34.7,No bed net,46.2 +Never taker,Control,0,0,29.5,59.3,No bed net,29.5 +Never taker,Treatment,0,0,32.1,32.3,No bed net,32.1 +Complier,Control,0,1,42.8,66.1,No bed net,42.8 +Always taker,Control,1,1,57,63.2,Bed net,63.2 +Always taker,Treatment,1,1,53.3,59.8,Bed net,59.8 +Complier,Treatment,0,1,27.4,60.2,Bed net,60.2 +Complier,Control,0,1,46.2,49.9,No bed net,46.2 +Complier,Control,0,1,41.3,67.8,No bed net,41.3 +Never taker,Treatment,0,0,18.1,35.1,No bed net,18.1 +Never taker,Control,0,0,21.4,36.2,No bed net,21.4 +Complier,Treatment,0,1,23.4,67.4,Bed net,67.4 +Never taker,Control,0,0,28.5,23.4,No bed net,28.5 +Complier,Control,0,1,26.7,69.1,No bed net,26.7 +Complier,Treatment,0,1,43.7,54.8,Bed net,54.8 +Never taker,Control,0,0,53.6,63.9,No bed net,53.6 +Never taker,Treatment,0,0,38.5,36.5,No bed net,38.5 +Never taker,Treatment,0,0,30.7,33.1,No bed net,30.7 +Always taker,Control,1,1,66.4,42.8,Bed net,42.8 +Never taker,Control,0,0,40.9,46.2,No bed net,40.9 +Complier,Control,0,1,27,48.9,No bed net,27 +Never taker,Control,0,0,39,37.6,No bed net,39 +Complier,Control,0,1,28.5,56.6,No bed net,28.5 +Never taker,Treatment,0,0,40.5,49.3,No bed net,40.5 +Complier,Control,0,1,43.1,56,No bed net,43.1 +Never taker,Treatment,0,0,33.2,28.4,No bed net,33.2 +Complier,Treatment,0,1,44.7,47,Bed net,47 +Always taker,Control,1,1,68.1,56.7,Bed net,56.7 +Complier,Treatment,0,1,44.8,33,Bed net,33 +Always taker,Control,1,1,68.7,56.9,Bed net,56.9 +Complier,Treatment,0,1,37,55.2,Bed net,55.2 +Complier,Treatment,0,1,33.6,60.6,Bed net,60.6 +Complier,Control,0,1,44.9,58.2,No bed net,44.9 +Never taker,Control,0,0,30,28.5,No bed net,30 +Never taker,Control,0,0,35,42.6,No bed net,35 +Complier,Control,0,1,25.8,74.6,No bed net,25.8 +Never taker,Control,0,0,44.2,46.7,No bed net,44.2 +Complier,Treatment,0,1,50.4,46.5,Bed net,46.5 +Always taker,Treatment,1,1,60,41.3,Bed net,41.3 +Never taker,Treatment,0,0,34.8,25,No bed net,34.8 +Always taker,Control,1,1,59.6,51.7,Bed net,51.7 +Always taker,Control,1,1,37.7,58.2,Bed net,58.2 +Never taker,Treatment,0,0,42.2,30.1,No bed net,42.2 +Always taker,Treatment,1,1,49.3,59.7,Bed net,59.7 +Complier,Treatment,0,1,32,49.1,Bed net,49.1 +Never taker,Treatment,0,0,28.8,14.5,No bed net,28.8 +Complier,Treatment,0,1,44.2,28.1,Bed net,28.1 +Never taker,Treatment,0,0,36.6,38.1,No bed net,36.6 +Complier,Control,0,1,43.2,34.8,No bed net,43.2 +Always taker,Control,1,1,62.2,64.7,Bed net,64.7 +Complier,Control,0,1,34.5,53.4,No bed net,34.5 +Never taker,Control,0,0,34.5,26.5,No bed net,34.5 +Never taker,Control,0,0,41.1,51.1,No bed net,41.1 +Complier,Treatment,0,1,34.5,54.6,Bed net,54.6 +Never taker,Control,0,0,46,23.7,No bed net,46 +Complier,Control,0,1,37.3,62.2,No bed net,37.3 +Never taker,Control,0,0,21.8,41.3,No bed net,21.8 +Always taker,Control,1,1,49.5,67.8,Bed net,67.8 +Complier,Treatment,0,1,36.3,47,Bed net,47 +Never taker,Control,0,0,30.2,42,No bed net,30.2 +Complier,Control,0,1,42.6,39.3,No bed net,42.6 +Never taker,Control,0,0,33.9,25.9,No bed net,33.9 +Complier,Treatment,0,1,36.2,37.9,Bed net,37.9 +Complier,Treatment,0,1,39.4,71.6,Bed net,71.6 +Never taker,Treatment,0,0,37.4,14.1,No bed net,37.4 +Always taker,Treatment,1,1,34.3,67.4,Bed net,67.4 +Complier,Control,0,1,34.4,53.1,No bed net,34.4 +Complier,Treatment,0,1,46.1,57.5,Bed net,57.5 +Always taker,Control,1,1,48.6,53.4,Bed net,53.4 +Never taker,Control,0,0,68.1,25.4,No bed net,68.1 +Complier,Treatment,0,1,41.5,44.8,Bed net,44.8 +Always taker,Control,1,1,58.8,60.7,Bed net,60.7 +Never taker,Treatment,0,0,17,23.3,No bed net,17 +Never taker,Control,0,0,25.4,27.9,No bed net,25.4 +Always taker,Control,1,1,51.6,65.4,Bed net,65.4 +Never taker,Control,0,0,16,51.7,No bed net,16 +Never taker,Treatment,0,0,43.1,47.6,No bed net,43.1 +Complier,Treatment,0,1,48.5,32.7,Bed net,32.7 +Complier,Control,0,1,36.6,73.3,No bed net,36.6 +Always taker,Treatment,1,1,52.4,60.6,Bed net,60.6 +Never taker,Control,0,0,22.6,44.8,No bed net,22.6 +Complier,Treatment,0,1,51,54,Bed net,54 +Never taker,Treatment,0,0,21.8,40,No bed net,21.8 +Complier,Treatment,0,1,43.6,65.9,Bed net,65.9 +Never taker,Control,0,0,31.3,17.6,No bed net,31.3 +Always taker,Treatment,1,1,58.1,63.1,Bed net,63.1 +Never taker,Treatment,0,0,32.6,12.4,No bed net,32.6 +Always taker,Treatment,1,1,52,60.9,Bed net,60.9 +Complier,Control,0,1,41.8,53,No bed net,41.8 +Never taker,Control,0,0,25.1,36.3,No bed net,25.1 +Never taker,Control,0,0,32.6,24.9,No bed net,32.6 +Complier,Control,0,1,49,40.7,No bed net,49 +Never taker,Control,0,0,46.1,11.9,No bed net,46.1 +Complier,Control,0,1,35.6,62,No bed net,35.6 +Never taker,Treatment,0,0,29.7,41.9,No bed net,29.7 +Always taker,Control,1,1,42.2,56.5,Bed net,56.5 +Always taker,Treatment,1,1,61.3,53.9,Bed net,53.9 +Complier,Control,0,1,32.5,54.2,No bed net,32.5 +Always taker,Treatment,1,1,67.9,74.6,Bed net,74.6 +Never taker,Treatment,0,0,46.4,36.1,No bed net,46.4 +Complier,Control,0,1,45.2,35.8,No bed net,45.2 +Complier,Control,0,1,29.1,49.4,No bed net,29.1 +Never taker,Control,0,0,45.3,41.7,No bed net,45.3 +Complier,Control,0,1,25.3,86.1,No bed net,25.3 +Complier,Treatment,0,1,35.4,56.9,Bed net,56.9 +Complier,Control,0,1,36.2,69.3,No bed net,36.2 +Always taker,Control,1,1,60.5,65,Bed net,65 +Never taker,Control,0,0,44.4,24.1,No bed net,44.4 +Complier,Treatment,0,1,41.2,38.8,Bed net,38.8 +Never taker,Control,0,0,33.8,43,No bed net,33.8 +Always taker,Treatment,1,1,64.7,71.4,Bed net,71.4 +Complier,Treatment,0,1,37.5,52.9,Bed net,52.9 +Never taker,Treatment,0,0,27.8,41.5,No bed net,27.8 +Always taker,Treatment,1,1,59.6,53.1,Bed net,53.1 +Complier,Control,0,1,43.7,54.8,No bed net,43.7 +Never taker,Treatment,0,0,46.5,34.1,No bed net,46.5 +Never taker,Control,0,0,40.4,33.2,No bed net,40.4 +Never taker,Control,0,0,32.4,30.6,No bed net,32.4 +Complier,Treatment,0,1,35.9,58,Bed net,58 +Never taker,Treatment,0,0,32.2,36.4,No bed net,32.2 +Always taker,Control,1,1,58.2,55.9,Bed net,55.9 +Complier,Treatment,0,1,34.9,51.6,Bed net,51.6 +Never taker,Control,0,0,38.5,41.6,No bed net,38.5 +Complier,Treatment,0,1,42.4,51.2,Bed net,51.2 +Complier,Treatment,0,1,24.4,35.7,Bed net,35.7 +Always taker,Control,1,1,56.4,57.3,Bed net,57.3 +Never taker,Treatment,0,0,11.2,64.2,No bed net,11.2 +Always taker,Control,1,1,49,48.2,Bed net,48.2 +Never taker,Control,0,0,43,40.2,No bed net,43 +Complier,Treatment,0,1,45.3,24.6,Bed net,24.6 +Complier,Treatment,0,1,16,49,Bed net,49 +Always taker,Treatment,1,1,53.6,54,Bed net,54 +Complier,Control,0,1,44.8,50.7,No bed net,44.8 +Complier,Treatment,0,1,40,64.2,Bed net,64.2 +Never taker,Control,0,0,41.5,40,No bed net,41.5 +Never taker,Treatment,0,0,14.5,32.8,No bed net,14.5 +Complier,Treatment,0,1,44.4,39.1,Bed net,39.1 +Never taker,Control,0,0,52.2,39.5,No bed net,52.2 +Always taker,Treatment,1,1,44,63.5,Bed net,63.5 +Never taker,Control,0,0,49.1,49,No bed net,49.1 +Never taker,Control,0,0,34.7,13.7,No bed net,34.7 +Complier,Control,0,1,43,8.9,No bed net,43 +Never taker,Control,0,0,43.2,40.3,No bed net,43.2 +Complier,Treatment,0,1,36.1,65.4,Bed net,65.4 +Always taker,Treatment,1,1,55,65.7,Bed net,65.7 +Complier,Control,0,1,31.8,56.6,No bed net,31.8 +Complier,Treatment,0,1,45.8,61.1,Bed net,61.1 +Complier,Control,0,1,56,58.4,No bed net,56 +Complier,Control,0,1,35.6,62.6,No bed net,35.6 +Complier,Treatment,0,1,44.4,70.1,Bed net,70.1 +Never taker,Treatment,0,0,38.4,51.9,No bed net,38.4 +Never taker,Control,0,0,9.2,69.8,No bed net,9.2 +Always taker,Control,1,1,59.4,47.5,Bed net,47.5 +Always taker,Treatment,1,1,63.8,58.9,Bed net,58.9 +Never taker,Treatment,0,0,31.6,38.8,No bed net,31.6 +Complier,Treatment,0,1,35.4,79.8,Bed net,79.8 +Never taker,Control,0,0,34.9,45.6,No bed net,34.9 +Never taker,Control,0,0,29.2,33.5,No bed net,29.2 +Never taker,Control,0,0,12.7,21.5,No bed net,12.7 +Never taker,Control,0,0,47.6,55.3,No bed net,47.6 +Never taker,Control,0,0,27.5,23.1,No bed net,27.5 +Complier,Treatment,0,1,39.7,56.5,Bed net,56.5 +Never taker,Control,0,0,27.8,47.5,No bed net,27.8 +Never taker,Treatment,0,0,36.2,45.3,No bed net,36.2 +Never taker,Treatment,0,0,34.6,24.8,No bed net,34.6 +Complier,Control,0,1,36.8,42,No bed net,36.8 +Complier,Treatment,0,1,37.7,67.2,Bed net,67.2 +Complier,Control,0,1,36.6,36.2,No bed net,36.6 +Always taker,Treatment,1,1,75.3,53.7,Bed net,53.7 +Always taker,Control,1,1,54,66.6,Bed net,66.6 +Never taker,Control,0,0,38.5,48.8,No bed net,38.5 +Never taker,Treatment,0,0,52.2,53,No bed net,52.2 +Never taker,Treatment,0,0,49.6,26.1,No bed net,49.6 +Complier,Treatment,0,1,31.8,44.8,Bed net,44.8 +Never taker,Control,0,0,45.6,38.2,No bed net,45.6 +Never taker,Control,0,0,46.7,5.8,No bed net,46.7 +Complier,Treatment,0,1,29.8,41.1,Bed net,41.1 +Never taker,Treatment,0,0,22.3,23.1,No bed net,22.3 +Never taker,Treatment,0,0,72.2,43.6,No bed net,72.2 +Never taker,Control,0,0,39.7,32.4,No bed net,39.7 +Never taker,Treatment,0,0,67.4,25.1,No bed net,67.4 +Complier,Control,0,1,26.4,75.5,No bed net,26.4 +Never taker,Control,0,0,48.2,31.9,No bed net,48.2 +Complier,Control,0,1,41.1,58.9,No bed net,41.1 +Always taker,Control,1,1,58.5,45.2,Bed net,45.2 +Complier,Control,0,1,39.5,30.2,No bed net,39.5 +Complier,Control,0,1,57.9,54.8,No bed net,57.9 +Never taker,Control,0,0,69.6,43.7,No bed net,69.6 +Complier,Treatment,0,1,30,25.9,Bed net,25.9 +Never taker,Treatment,0,0,36.4,50.1,No bed net,36.4 +Never taker,Treatment,0,0,37.1,42.7,No bed net,37.1 +Never taker,Treatment,0,0,13.7,33.4,No bed net,13.7 +Never taker,Treatment,0,0,26.1,28.6,No bed net,26.1 +Never taker,Control,0,0,17.1,54.6,No bed net,17.1 +Complier,Control,0,1,50.8,46.8,No bed net,50.8 +Complier,Treatment,0,1,27.3,39.8,Bed net,39.8 +Complier,Control,0,1,49.4,66.2,No bed net,49.4 +Complier,Treatment,0,1,32.7,43.7,Bed net,43.7 +Never taker,Treatment,0,0,47.7,16.7,No bed net,47.7 +Never taker,Control,0,0,41.7,42.6,No bed net,41.7 +Always taker,Control,1,1,50.6,51,Bed net,51 +Never taker,Treatment,0,0,22.5,37.8,No bed net,22.5 +Always taker,Control,1,1,51.4,83,Bed net,83 +Always taker,Treatment,1,1,76.8,56.6,Bed net,56.6 +Never taker,Control,0,0,23,48.2,No bed net,23 +Complier,Treatment,0,1,40.5,25.5,Bed net,25.5 +Never taker,Treatment,0,0,51.8,33.2,No bed net,51.8 +Never taker,Control,0,0,49.4,36.9,No bed net,49.4 +Complier,Treatment,0,1,37.7,27.3,Bed net,27.3 +Never taker,Control,0,0,19.2,42.8,No bed net,19.2 +Always taker,Treatment,1,1,59.7,47.5,Bed net,47.5 +Never taker,Control,0,0,53,25.9,No bed net,53 +Complier,Treatment,0,1,48,36.9,Bed net,36.9 +Complier,Control,0,1,39.5,60.4,No bed net,39.5 +Never taker,Treatment,0,0,43.1,25.9,No bed net,43.1 +Complier,Control,0,1,39.5,58.5,No bed net,39.5 +Never taker,Treatment,0,0,26.6,34.8,No bed net,26.6 +Always taker,Control,1,1,56.2,56.1,Bed net,56.1 +Complier,Control,0,1,30.7,77.6,No bed net,30.7 +Never taker,Treatment,0,0,47.8,18.3,No bed net,47.8 +Never taker,Control,0,0,62.9,23.2,No bed net,62.9 +Complier,Control,0,1,46.7,43.9,No bed net,46.7 +Never taker,Treatment,0,0,29.2,35,No bed net,29.2 +Always taker,Treatment,1,1,46.8,47.6,Bed net,47.6 +Never taker,Treatment,0,0,37.3,18.1,No bed net,37.3 +Never taker,Control,0,0,43.5,29.4,No bed net,43.5 +Always taker,Control,1,1,49.7,58.5,Bed net,58.5 +Complier,Treatment,0,1,40.1,93,Bed net,93 +Complier,Control,0,1,41,62.9,No bed net,41 +Never taker,Treatment,0,0,24.9,30.2,No bed net,24.9 +Always taker,Control,1,1,56.4,56,Bed net,56 +Complier,Control,0,1,42.1,71.7,No bed net,42.1 +Complier,Treatment,0,1,39.1,43.2,Bed net,43.2 +Never taker,Control,0,0,38,53.1,No bed net,38 +Never taker,Control,0,0,20.4,46.6,No bed net,20.4 +Never taker,Control,0,0,56.3,34.8,No bed net,56.3 +Complier,Control,0,1,37.1,46.1,No bed net,37.1 +Never taker,Treatment,0,0,31.3,20.2,No bed net,31.3 +Never taker,Treatment,0,0,42.9,32.3,No bed net,42.9 +Complier,Treatment,0,1,48.4,31.4,Bed net,31.4 +Never taker,Treatment,0,0,32.7,14.6,No bed net,32.7 +Never taker,Control,0,0,27.9,21.1,No bed net,27.9 +Never taker,Treatment,0,0,42.9,32.5,No bed net,42.9 +Never taker,Control,0,0,23.3,37.8,No bed net,23.3 +Never taker,Control,0,0,37.8,22.1,No bed net,37.8 +Never taker,Control,0,0,33.9,31.8,No bed net,33.9 +Never taker,Control,0,0,31.9,18.4,No bed net,31.9 +Never taker,Treatment,0,0,44.1,40.4,No bed net,44.1 +Always taker,Control,1,1,66.4,48.7,Bed net,48.7 +Complier,Control,0,1,34.4,44,No bed net,34.4 +Never taker,Control,0,0,42.3,50.8,No bed net,42.3 +Complier,Control,0,1,46.9,70.6,No bed net,46.9 +Always taker,Treatment,1,1,67.7,52.1,Bed net,52.1 +Complier,Control,0,1,44.7,40.1,No bed net,44.7 +Complier,Control,0,1,38.8,64.3,No bed net,38.8 +Complier,Control,0,1,29.8,37,No bed net,29.8 +Complier,Treatment,0,1,35.4,63.1,Bed net,63.1 +Never taker,Treatment,0,0,37,40.1,No bed net,37 +Never taker,Treatment,0,0,36.1,48.1,No bed net,36.1 +Never taker,Treatment,0,0,19.1,44.9,No bed net,19.1 +Never taker,Control,0,0,36,49.9,No bed net,36 +Always taker,Control,1,1,68.4,60.6,Bed net,60.6 +Always taker,Control,1,1,45.4,38.4,Bed net,38.4 +Complier,Control,0,1,45.3,58.6,No bed net,45.3 +Never taker,Treatment,0,0,29.1,26.8,No bed net,29.1 +Never taker,Control,0,0,28,36.6,No bed net,28 +Never taker,Control,0,0,49.6,30.6,No bed net,49.6 +Complier,Treatment,0,1,37.9,48.4,Bed net,48.4 +Never taker,Control,0,0,31.6,27,No bed net,31.6 +Complier,Treatment,0,1,42.5,25.2,Bed net,25.2 +Always taker,Control,1,1,58.6,44,Bed net,44 +Complier,Treatment,0,1,18.1,63.4,Bed net,63.4 +Never taker,Treatment,0,0,46.5,50,No bed net,46.5 +Always taker,Treatment,1,1,49.2,56.1,Bed net,56.1 +Complier,Control,0,1,35.3,41.6,No bed net,35.3 +Complier,Treatment,0,1,32.6,47.9,Bed net,47.9 +Complier,Control,0,1,49.1,51.5,No bed net,49.1 +Never taker,Control,0,0,36,27.4,No bed net,36 +Complier,Control,0,1,36.9,62,No bed net,36.9 +Never taker,Treatment,0,0,28.1,31.3,No bed net,28.1 +Complier,Control,0,1,37.9,54.9,No bed net,37.9 +Complier,Treatment,0,1,58.1,26.9,Bed net,26.9 +Never taker,Treatment,0,0,20.9,31.1,No bed net,20.9 +Never taker,Treatment,0,0,29.4,53.5,No bed net,29.4 +Complier,Control,0,1,30.1,49,No bed net,30.1 +Never taker,Control,0,0,45.4,44.9,No bed net,45.4 +Never taker,Control,0,0,43.5,31.3,No bed net,43.5 +Complier,Control,0,1,35.6,66.7,No bed net,35.6 +Never taker,Treatment,0,0,36.3,34.3,No bed net,36.3 +Complier,Control,0,1,47.3,63.6,No bed net,47.3 +Never taker,Control,0,0,11.8,26.2,No bed net,11.8 +Never taker,Control,0,0,43.6,37.4,No bed net,43.6 +Always taker,Control,1,1,42,44.8,Bed net,44.8 +Complier,Treatment,0,1,37.8,51.7,Bed net,51.7 +Always taker,Control,1,1,51.8,57.8,Bed net,57.8 +Complier,Control,0,1,40.9,60.3,No bed net,40.9 +Complier,Control,0,1,30.5,40.1,No bed net,30.5 +Complier,Treatment,0,1,39.6,40,Bed net,40 +Never taker,Control,0,0,41,33.9,No bed net,41 +Always taker,Treatment,1,1,59.1,58.2,Bed net,58.2 +Never taker,Treatment,0,0,49.3,46.3,No bed net,49.3 +Always taker,Control,1,1,45.9,78.3,Bed net,78.3 +Always taker,Treatment,1,1,75.6,56.4,Bed net,56.4 +Never taker,Control,0,0,25.9,48.3,No bed net,25.9 +Complier,Treatment,0,1,57.5,42.7,Bed net,42.7 +Always taker,Control,1,1,63.7,60.8,Bed net,60.8 +Never taker,Control,0,0,16.5,38.6,No bed net,16.5 +Never taker,Treatment,0,0,24.1,47.5,No bed net,24.1 +Always taker,Control,1,1,47.4,52.2,Bed net,52.2 +Complier,Treatment,0,1,49,55,Bed net,55 +Complier,Control,0,1,25.4,41.8,No bed net,25.4 +Complier,Treatment,0,1,34.5,49.3,Bed net,49.3 +Complier,Treatment,0,1,34.8,48,Bed net,48 +Complier,Control,0,1,44.5,65.5,No bed net,44.5 +Never taker,Treatment,0,0,15.6,37,No bed net,15.6 +Never taker,Control,0,0,35.4,23.8,No bed net,35.4 +Always taker,Treatment,1,1,47.7,30.4,Bed net,30.4 +Never taker,Control,0,0,38.2,26.5,No bed net,38.2 +Never taker,Treatment,0,0,52.7,32,No bed net,52.7 +Always taker,Treatment,1,1,46.1,49.4,Bed net,49.4 +Always taker,Treatment,1,1,58,34.8,Bed net,34.8 +Complier,Treatment,0,1,32.4,41.2,Bed net,41.2 +Always taker,Control,1,1,54.2,50.8,Bed net,50.8 +Never taker,Control,0,0,24.3,20.9,No bed net,24.3 +Complier,Control,0,1,32.3,49.9,No bed net,32.3 +Never taker,Control,0,0,24,42.1,No bed net,24 +Never taker,Control,0,0,28.8,43,No bed net,28.8 +Always taker,Control,1,1,32.2,51.3,Bed net,51.3 +Never taker,Treatment,0,0,28.1,53.3,No bed net,28.1 +Complier,Treatment,0,1,40.1,51.8,Bed net,51.8 +Complier,Treatment,0,1,55.3,54.3,Bed net,54.3 +Never taker,Treatment,0,0,31.6,43.4,No bed net,31.6 +Never taker,Control,0,0,31.7,33.5,No bed net,31.7 +Complier,Treatment,0,1,42.1,39,Bed net,39 +Never taker,Control,0,0,18.2,42.4,No bed net,18.2 +Complier,Treatment,0,1,31.2,35.7,Bed net,35.7 +Complier,Control,0,1,31,69.1,No bed net,31 +Always taker,Treatment,1,1,60.4,63.8,Bed net,63.8 +Never taker,Treatment,0,0,60.8,39.6,No bed net,60.8 +Never taker,Control,0,0,45.8,33.8,No bed net,45.8 +Always taker,Treatment,1,1,59.3,60.8,Bed net,60.8 +Never taker,Treatment,0,0,49.4,30.7,No bed net,49.4 +Complier,Control,0,1,26,62.6,No bed net,26 +Always taker,Control,1,1,42.5,48.7,Bed net,48.7 +Complier,Control,0,1,26.8,47.7,No bed net,26.8 +Never taker,Control,0,0,35.4,42.8,No bed net,35.4 +Always taker,Control,1,1,42.8,43.7,Bed net,43.7 +Always taker,Control,1,1,62.3,72.3,Bed net,72.3 +Complier,Treatment,0,1,32.8,44.4,Bed net,44.4 +Always taker,Treatment,1,1,56.9,66.9,Bed net,66.9 +Always taker,Control,1,1,63.5,56.2,Bed net,56.2 +Never taker,Control,0,0,18.2,49.3,No bed net,18.2 +Complier,Treatment,0,1,39,49.3,Bed net,49.3 +Complier,Control,0,1,42.5,46.7,No bed net,42.5 +Complier,Treatment,0,1,46.4,63.3,Bed net,63.3 +Never taker,Control,0,0,41.7,42.1,No bed net,41.7 +Complier,Control,0,1,42.8,52.5,No bed net,42.8 +Never taker,Control,0,0,53.2,42.1,No bed net,53.2 +Complier,Control,0,1,38.5,62.9,No bed net,38.5 +Complier,Treatment,0,1,32.4,56.3,Bed net,56.3 +Complier,Treatment,0,1,38.7,56.9,Bed net,56.9 +Complier,Treatment,0,1,37.1,38.4,Bed net,38.4 +Complier,Treatment,0,1,32.3,55.4,Bed net,55.4 +Complier,Treatment,0,1,37.9,44.3,Bed net,44.3 +Complier,Treatment,0,1,35.1,27.3,Bed net,27.3 +Always taker,Control,1,1,56.2,52.5,Bed net,52.5 +Always taker,Control,1,1,46.9,66.5,Bed net,66.5 +Complier,Treatment,0,1,44.3,49,Bed net,49 +Never taker,Control,0,0,31.3,49.7,No bed net,31.3 +Never taker,Treatment,0,0,41.3,24.6,No bed net,41.3 +Never taker,Control,0,0,45.3,39.5,No bed net,45.3 +Complier,Control,0,1,40.1,35,No bed net,40.1 +Never taker,Treatment,0,0,42.1,46.4,No bed net,42.1 +Never taker,Control,0,0,26.2,36.6,No bed net,26.2 +Never taker,Treatment,0,0,25.7,34,No bed net,25.7 +Complier,Treatment,0,1,60,34,Bed net,34 +Never taker,Control,0,0,17,45.1,No bed net,17 +Never taker,Treatment,0,0,24.9,30.5,No bed net,24.9 +Never taker,Treatment,0,0,16.6,47,No bed net,16.6 +Complier,Treatment,0,1,43.3,45.7,Bed net,45.7 +Always taker,Treatment,1,1,52,57.7,Bed net,57.7 +Complier,Treatment,0,1,40.8,58,Bed net,58 +Always taker,Treatment,1,1,55.9,48,Bed net,48 +Never taker,Control,0,0,50.1,67.4,No bed net,50.1 +Complier,Treatment,0,1,31.2,80,Bed net,80 +Complier,Control,0,1,28.2,36.4,No bed net,28.2 +Complier,Control,0,1,39.6,67.4,No bed net,39.6 +Never taker,Control,0,0,55,29.8,No bed net,55 +Always taker,Treatment,1,1,64.5,60.6,Bed net,60.6 +Never taker,Control,0,0,42.3,37.4,No bed net,42.3 +Never taker,Treatment,0,0,41.2,35.4,No bed net,41.2 +Complier,Control,0,1,44.7,38.5,No bed net,44.7 +Always taker,Control,1,1,61.4,61,Bed net,61 +Complier,Control,0,1,34.8,66.2,No bed net,34.8 +Never taker,Treatment,0,0,34.6,36.7,No bed net,34.6 +Complier,Treatment,0,1,30.9,67.9,Bed net,67.9 +Complier,Control,0,1,47,35.1,No bed net,47 +Complier,Treatment,0,1,46.4,65.9,Bed net,65.9 +Complier,Treatment,0,1,29.5,68.7,Bed net,68.7 +Always taker,Control,1,1,70.6,37.4,Bed net,37.4 +Never taker,Control,0,0,45.8,46,No bed net,45.8 +Never taker,Control,0,0,57.3,35.8,No bed net,57.3 +Complier,Control,0,1,32.9,53.4,No bed net,32.9 +Complier,Control,0,1,53.8,30.9,No bed net,53.8 +Always taker,Control,1,1,51.3,54.4,Bed net,54.4 +Complier,Control,0,1,40.6,27.9,No bed net,40.6 +Never taker,Treatment,0,0,42.8,75.8,No bed net,42.8 +Never taker,Treatment,0,0,30.8,32.6,No bed net,30.8 +Complier,Treatment,0,1,43.4,50.1,Bed net,50.1 +Complier,Treatment,0,1,45.2,42.1,Bed net,42.1 +Complier,Control,0,1,36.8,55.8,No bed net,36.8 +Never taker,Control,0,0,41.7,40,No bed net,41.7 +Complier,Control,0,1,46.1,38.4,No bed net,46.1 +Never taker,Treatment,0,0,34.4,36.4,No bed net,34.4 +Never taker,Control,0,0,37.5,23.4,No bed net,37.5 +Never taker,Control,0,0,35.6,33.3,No bed net,35.6 +Never taker,Control,0,0,25.6,49.9,No bed net,25.6 +Never taker,Control,0,0,26.5,71.4,No bed net,26.5 +Complier,Treatment,0,1,38.1,63.5,Bed net,63.5 +Never taker,Control,0,0,55.7,34.5,No bed net,55.7 +Never taker,Treatment,0,0,36.8,12.6,No bed net,36.8 +Never taker,Treatment,0,0,62.8,41.6,No bed net,62.8 +Never taker,Treatment,0,0,24.8,33,No bed net,24.8 +Always taker,Control,1,1,45.5,64.1,Bed net,64.1 +Complier,Treatment,0,1,42.8,43.9,Bed net,43.9 +Never taker,Control,0,0,33.2,35.1,No bed net,33.2 +Never taker,Control,0,0,46.1,46.6,No bed net,46.1 +Always taker,Control,1,1,59.9,78.7,Bed net,78.7 +Complier,Treatment,0,1,29,64.8,Bed net,64.8 +Complier,Treatment,0,1,43.1,64.4,Bed net,64.4 +Complier,Control,0,1,35.7,82.6,No bed net,35.7 +Never taker,Control,0,0,26.5,43.7,No bed net,26.5 +Always taker,Control,1,1,45.5,61.3,Bed net,61.3 +Never taker,Treatment,0,0,48.8,33.8,No bed net,48.8 +Never taker,Treatment,0,0,47.6,19.3,No bed net,47.6 +Never taker,Treatment,0,0,48.5,41.8,No bed net,48.5 +Never taker,Control,0,0,33.5,29.1,No bed net,33.5 +Complier,Control,0,1,45.3,68.2,No bed net,45.3 +Always taker,Treatment,1,1,35.5,55.8,Bed net,55.8 +Never taker,Control,0,0,54.2,45.3,No bed net,54.2 +Complier,Treatment,0,1,46,89.1,Bed net,89.1 +Complier,Treatment,0,1,47.3,62,Bed net,62 +Complier,Treatment,0,1,48.9,28.7,Bed net,28.7 +Never taker,Control,0,0,37.8,37.8,No bed net,37.8 +Complier,Control,0,1,32.8,69.8,No bed net,32.8 +Never taker,Treatment,0,0,44.8,51.8,No bed net,44.8 +Complier,Treatment,0,1,23.3,62.9,Bed net,62.9 +Complier,Control,0,1,39.9,24.5,No bed net,39.9 +Complier,Treatment,0,1,38.2,58.6,Bed net,58.6 +Never taker,Control,0,0,36.7,38.8,No bed net,36.7 +Never taker,Treatment,0,0,22.5,41.9,No bed net,22.5 +Always taker,Treatment,1,1,54.3,72.8,Bed net,72.8 +Never taker,Treatment,0,0,40.9,43.6,No bed net,40.9 +Never taker,Control,0,0,49.5,46,No bed net,49.5 +Never taker,Control,0,0,29.6,40.1,No bed net,29.6 +Never taker,Control,0,0,33.5,40.6,No bed net,33.5 +Complier,Control,0,1,28,58,No bed net,28 +Never taker,Treatment,0,0,43,30.6,No bed net,43 +Always taker,Control,1,1,66.5,67.6,Bed net,67.6 +Complier,Control,0,1,39.5,35.5,No bed net,39.5 +Always taker,Treatment,1,1,55.7,64.5,Bed net,64.5 +Never taker,Control,0,0,33.6,27.5,No bed net,33.6 +Always taker,Control,1,1,66.9,57.9,Bed net,57.9 +Complier,Treatment,0,1,35.8,39.5,Bed net,39.5 +Complier,Control,0,1,46.8,42.5,No bed net,46.8 +Never taker,Control,0,0,57.5,38.4,No bed net,57.5 +Complier,Control,0,1,28.7,41.3,No bed net,28.7 +Complier,Control,0,1,49.4,45.7,No bed net,49.4 +Always taker,Control,1,1,75.2,53.2,Bed net,53.2 +Complier,Treatment,0,1,45.4,49.5,Bed net,49.5 +Always taker,Treatment,1,1,47.5,59.7,Bed net,59.7 +Complier,Treatment,0,1,25.4,63.6,Bed net,63.6 +Never taker,Treatment,0,0,43.5,32.3,No bed net,43.5 +Always taker,Control,1,1,51.5,71.3,Bed net,71.3 +Never taker,Treatment,0,0,23,52.9,No bed net,23 +Complier,Control,0,1,43,38.3,No bed net,43 +Complier,Treatment,0,1,40.9,43.5,Bed net,43.5 +Never taker,Control,0,0,22,46.4,No bed net,22 +Complier,Treatment,0,1,46,45.4,Bed net,45.4 +Always taker,Control,1,1,70.3,46.3,Bed net,46.3 +Never taker,Control,0,0,37.7,32.4,No bed net,37.7 +Never taker,Treatment,0,0,30.3,35.7,No bed net,30.3 +Never taker,Treatment,0,0,46.4,41.8,No bed net,46.4 +Complier,Control,0,1,53.1,53.6,No bed net,53.1 +Never taker,Control,0,0,33.5,31.6,No bed net,33.5 +Always taker,Control,1,1,58.3,47.4,Bed net,47.4 +Complier,Treatment,0,1,32.3,64.7,Bed net,64.7 +Complier,Control,0,1,40.1,46.7,No bed net,40.1 +Complier,Control,0,1,36.1,68.1,No bed net,36.1 +Always taker,Treatment,1,1,60,53.6,Bed net,53.6 +Always taker,Control,1,1,67.1,55.4,Bed net,55.4 +Complier,Control,0,1,50.4,40.3,No bed net,50.4 +Always taker,Control,1,1,60.5,60.3,Bed net,60.3 +Never taker,Control,0,0,36.8,18.1,No bed net,36.8 +Never taker,Control,0,0,37.5,38.6,No bed net,37.5 +Never taker,Treatment,0,0,43.4,27.1,No bed net,43.4 +Never taker,Control,0,0,26,30.1,No bed net,26 +Never taker,Control,0,0,29.3,47.6,No bed net,29.3 +Never taker,Treatment,0,0,48.6,39.4,No bed net,48.6 +Complier,Treatment,0,1,39.9,50.6,Bed net,50.6 +Complier,Control,0,1,34.2,61.4,No bed net,34.2 +Never taker,Treatment,0,0,48.3,74.8,No bed net,48.3 +Always taker,Treatment,1,1,53.1,53.7,Bed net,53.7 +Complier,Treatment,0,1,42.1,45.1,Bed net,45.1 +Never taker,Treatment,0,0,34.9,39.6,No bed net,34.9 +Never taker,Treatment,0,0,20.7,38.3,No bed net,20.7 +Never taker,Control,0,0,31.3,41.2,No bed net,31.3 +Always taker,Control,1,1,55.2,53.5,Bed net,53.5 +Complier,Control,0,1,37.1,46.3,No bed net,37.1 +Always taker,Treatment,1,1,32.9,65,Bed net,65 +Complier,Treatment,0,1,36.8,57,Bed net,57 +Never taker,Control,0,0,45.5,45,No bed net,45.5 +Complier,Treatment,0,1,35.6,58.8,Bed net,58.8 +Complier,Control,0,1,39.6,56,No bed net,39.6 +Complier,Control,0,1,33.6,34.8,No bed net,33.6 +Never taker,Control,0,0,35,37.6,No bed net,35 +Complier,Control,0,1,28.9,43,No bed net,28.9 +Never taker,Treatment,0,0,26.5,29.3,No bed net,26.5 +Always taker,Treatment,1,1,42.6,57.7,Bed net,57.7 +Never taker,Control,0,0,23.7,31.5,No bed net,23.7 +Never taker,Treatment,0,0,41.3,26.6,No bed net,41.3 +Complier,Treatment,0,1,40.8,54.8,Bed net,54.8 +Never taker,Control,0,0,39.8,28.2,No bed net,39.8 +Complier,Treatment,0,1,41.5,46.9,Bed net,46.9 +Always taker,Control,1,1,66.3,47.8,Bed net,47.8 +Always taker,Treatment,1,1,48.1,64.4,Bed net,64.4 +Never taker,Control,0,0,23.7,28.5,No bed net,23.7 +Never taker,Treatment,0,0,27.3,47,No bed net,27.3 +Never taker,Control,0,0,41.1,49.3,No bed net,41.1 +Never taker,Control,0,0,26.8,48.3,No bed net,26.8 +Always taker,Treatment,1,1,56.2,51.8,Bed net,51.8 +Always taker,Treatment,1,1,59.3,28.7,Bed net,28.7 +Never taker,Control,0,0,45.7,36.3,No bed net,45.7 +Complier,Control,0,1,43.9,68.3,No bed net,43.9 +Never taker,Treatment,0,0,53,17.7,No bed net,53 +Complier,Control,0,1,28,65.2,No bed net,28 +Never taker,Control,0,0,38.8,21.1,No bed net,38.8 +Never taker,Control,0,0,43.7,37.4,No bed net,43.7 +Complier,Control,0,1,21.7,48.3,No bed net,21.7 +Complier,Control,0,1,29.2,55.8,No bed net,29.2 +Complier,Control,0,1,45.4,60.9,No bed net,45.4 +Complier,Control,0,1,46.1,69.7,No bed net,46.1 +Complier,Control,0,1,41.7,63.6,No bed net,41.7 +Complier,Control,0,1,40.6,80.3,No bed net,40.6 +Never taker,Control,0,0,51.9,34.2,No bed net,51.9 +Never taker,Control,0,0,32.3,41.5,No bed net,32.3 +Never taker,Control,0,0,37.3,54.7,No bed net,37.3 +Always taker,Treatment,1,1,67.5,53.2,Bed net,53.2 +Always taker,Treatment,1,1,51.1,65.6,Bed net,65.6 +Always taker,Control,1,1,62.4,42.5,Bed net,42.5 +Always taker,Treatment,1,1,53.9,57.5,Bed net,57.5 +Always taker,Control,1,1,52.2,49,Bed net,49 +Never taker,Control,0,0,29.6,53.9,No bed net,29.6 +Never taker,Control,0,0,34.9,53,No bed net,34.9 +Complier,Control,0,1,49,74.2,No bed net,49 +Never taker,Control,0,0,28.8,49,No bed net,28.8 +Never taker,Control,0,0,20.7,26.3,No bed net,20.7 +Never taker,Treatment,0,0,48.4,46.7,No bed net,48.4 +Complier,Treatment,0,1,44,66,Bed net,66 +Always taker,Control,1,1,60.9,62.9,Bed net,62.9 +Always taker,Treatment,1,1,40.4,53.9,Bed net,53.9 +Never taker,Treatment,0,0,48.4,33.1,No bed net,48.4 +Never taker,Control,0,0,30.2,38.2,No bed net,30.2 +Complier,Control,0,1,36.6,47.4,No bed net,36.6 +Never taker,Treatment,0,0,36.6,30.4,No bed net,36.6 +Complier,Treatment,0,1,24.5,61.6,Bed net,61.6 +Complier,Control,0,1,45.2,22.4,No bed net,45.2 +Complier,Treatment,0,1,42.2,44.1,Bed net,44.1 +Always taker,Treatment,1,1,56,51.2,Bed net,51.2 +Never taker,Control,0,0,32.2,22.9,No bed net,32.2 +Complier,Control,0,1,56.6,72,No bed net,56.6 +Always taker,Control,1,1,55,50.4,Bed net,50.4 +Complier,Treatment,0,1,40.2,69,Bed net,69 +Never taker,Treatment,0,0,25.8,34.3,No bed net,25.8 +Never taker,Treatment,0,0,34.1,36.5,No bed net,34.1 +Never taker,Control,0,0,41.6,19,No bed net,41.6 +Always taker,Control,1,1,45.4,54.9,Bed net,54.9 +Complier,Control,0,1,47.7,62.9,No bed net,47.7 +Never taker,Treatment,0,0,6.2,47.6,No bed net,6.2 +Always taker,Treatment,1,1,43.7,40.4,Bed net,40.4 +Complier,Control,0,1,43.7,82.7,No bed net,43.7 +Complier,Treatment,0,1,36.6,54.8,Bed net,54.8 +Complier,Treatment,0,1,46.2,65,Bed net,65 +Complier,Control,0,1,28,32.6,No bed net,28 +Never taker,Treatment,0,0,38.7,18.3,No bed net,38.7 +Always taker,Treatment,1,1,56.4,54.6,Bed net,54.6 +Always taker,Treatment,1,1,48,57.9,Bed net,57.9 +Complier,Treatment,0,1,30.7,41.5,Bed net,41.5 +Complier,Control,0,1,29.7,61.6,No bed net,29.7 +Complier,Control,0,1,36.6,53.3,No bed net,36.6 +Always taker,Treatment,1,1,52.3,56.8,Bed net,56.8 +Always taker,Control,1,1,63.1,59.6,Bed net,59.6 +Complier,Control,0,1,36.2,65.9,No bed net,36.2 +Complier,Control,0,1,39.3,45.8,No bed net,39.3 +Always taker,Control,1,1,47.3,46,Bed net,46 +Never taker,Treatment,0,0,18.8,61.9,No bed net,18.8 +Complier,Control,0,1,34.6,55.7,No bed net,34.6 +Complier,Treatment,0,1,32,46.1,Bed net,46.1 +Complier,Control,0,1,29,52.9,No bed net,29 +Never taker,Treatment,0,0,44.9,36.1,No bed net,44.9 +Complier,Treatment,0,1,38.3,44.7,Bed net,44.7 +Never taker,Control,0,0,43.2,27.2,No bed net,43.2 +Never taker,Treatment,0,0,58.4,37.7,No bed net,58.4 +Complier,Treatment,0,1,45.5,70,Bed net,70 +Complier,Treatment,0,1,44.3,81.7,Bed net,81.7 +Never taker,Control,0,0,58.3,31.3,No bed net,58.3 +Never taker,Control,0,0,18,44.8,No bed net,18 +Complier,Treatment,0,1,35.1,61.1,Bed net,61.1 +Never taker,Control,0,0,37,11.9,No bed net,37 +Complier,Control,0,1,46.1,51.7,No bed net,46.1 +Never taker,Control,0,0,19,29.8,No bed net,19 +Never taker,Treatment,0,0,40.3,31.9,No bed net,40.3 +Always taker,Treatment,1,1,55.8,55.7,Bed net,55.7 +Always taker,Treatment,1,1,42.3,45.8,Bed net,45.8 +Complier,Treatment,0,1,42.2,49.2,Bed net,49.2 +Complier,Treatment,0,1,35.7,60,Bed net,60 +Never taker,Treatment,0,0,47.8,41.1,No bed net,47.8 +Always taker,Treatment,1,1,40.4,59.1,Bed net,59.1 +Never taker,Control,0,0,41.6,49.8,No bed net,41.6 +Complier,Control,0,1,43.9,61.3,No bed net,43.9 +Complier,Treatment,0,1,37.1,48.5,Bed net,48.5 +Never taker,Control,0,0,39.3,35.7,No bed net,39.3 +Never taker,Treatment,0,0,37.6,33.3,No bed net,37.6 +Complier,Control,0,1,33.6,70.5,No bed net,33.6 +Never taker,Treatment,0,0,37.3,66,No bed net,37.3 +Always taker,Treatment,1,1,53.6,53.3,Bed net,53.3 +Never taker,Treatment,0,0,26.9,42.9,No bed net,26.9 +Always taker,Treatment,1,1,54.9,72.6,Bed net,72.6 +Never taker,Treatment,0,0,42.6,37.5,No bed net,42.6 +Never taker,Treatment,0,0,60.6,18.4,No bed net,60.6 +Complier,Control,0,1,49,66.7,No bed net,49 +Complier,Treatment,0,1,33.5,72,Bed net,72 +Never taker,Control,0,0,52,16.8,No bed net,52 +Always taker,Treatment,1,1,53.2,64.3,Bed net,64.3 +Never taker,Treatment,0,0,57.4,33.1,No bed net,57.4 +Complier,Treatment,0,1,35.6,26.5,Bed net,26.5 +Never taker,Treatment,0,0,19.9,45,No bed net,19.9 +Complier,Treatment,0,1,49,74.2,Bed net,74.2 +Complier,Control,0,1,43.3,70.1,No bed net,43.3 +Never taker,Control,0,0,33.4,41.4,No bed net,33.4 +Complier,Treatment,0,1,40,45.9,Bed net,45.9 +Never taker,Treatment,0,0,36.9,45.9,No bed net,36.9 +Complier,Treatment,0,1,44.8,64.8,Bed net,64.8 +Complier,Control,0,1,27.9,76.6,No bed net,27.9 +Never taker,Treatment,0,0,44.6,55.1,No bed net,44.6 +Complier,Treatment,0,1,45.4,36.7,Bed net,36.7 +Never taker,Control,0,0,35,11.7,No bed net,35 +Always taker,Control,1,1,54.6,61.2,Bed net,61.2 +Never taker,Treatment,0,0,15.9,27.2,No bed net,15.9 +Never taker,Treatment,0,0,49,23.3,No bed net,49 +Never taker,Control,0,0,58.2,42.2,No bed net,58.2 +Never taker,Treatment,0,0,25.1,29.7,No bed net,25.1 +Never taker,Control,0,0,40.2,34.5,No bed net,40.2 +Complier,Control,0,1,33.8,70.7,No bed net,33.8 +Never taker,Control,0,0,23.7,37.5,No bed net,23.7 +Complier,Treatment,0,1,34.2,56.3,Bed net,56.3 +Never taker,Control,0,0,27.8,31.6,No bed net,27.8 +Complier,Treatment,0,1,49.6,41.6,Bed net,41.6 +Complier,Treatment,0,1,29.6,50.6,Bed net,50.6 +Complier,Control,0,1,45.5,48.1,No bed net,45.5 +Never taker,Treatment,0,0,44.1,47.3,No bed net,44.1 +Never taker,Treatment,0,0,31.4,42,No bed net,31.4 +Complier,Control,0,1,35.8,46.1,No bed net,35.8 +Never taker,Treatment,0,0,33.8,20,No bed net,33.8 +Never taker,Treatment,0,0,29.9,36.9,No bed net,29.9 +Complier,Treatment,0,1,37.5,60.2,Bed net,60.2 +Complier,Treatment,0,1,35.4,42.6,Bed net,42.6 +Complier,Control,0,1,33.6,56.6,No bed net,33.6 +Always taker,Control,1,1,66.5,54.9,Bed net,54.9 +Never taker,Control,0,0,35.2,36.5,No bed net,35.2 +Complier,Control,0,1,27,43.8,No bed net,27 +Never taker,Treatment,0,0,25.1,45.4,No bed net,25.1 +Always taker,Control,1,1,55,71.7,Bed net,71.7 +Complier,Control,0,1,39.1,60.7,No bed net,39.1 +Complier,Control,0,1,37.9,57,No bed net,37.9 +Complier,Treatment,0,1,33.5,50,Bed net,50 +Never taker,Control,0,0,45.3,31.6,No bed net,45.3 +Complier,Treatment,0,1,48.7,51.5,Bed net,51.5 +Never taker,Treatment,0,0,28.6,51.3,No bed net,28.6 +Always taker,Control,1,1,53.7,52.6,Bed net,52.6 +Never taker,Control,0,0,41.5,46.7,No bed net,41.5 +Never taker,Treatment,0,0,51.4,49,No bed net,51.4 +Complier,Control,0,1,54.8,51.4,No bed net,54.8 +Never taker,Control,0,0,40.7,49.3,No bed net,40.7 +Complier,Treatment,0,1,41.1,58.8,Bed net,58.8 +Never taker,Control,0,0,43.3,29.9,No bed net,43.3 +Always taker,Control,1,1,82,36.9,Bed net,36.9 +Never taker,Control,0,0,22.9,26.1,No bed net,22.9 +Complier,Treatment,0,1,38.5,27.8,Bed net,27.8 +Never taker,Control,0,0,27.9,36.4,No bed net,27.9 +Complier,Treatment,0,1,26.5,68.7,Bed net,68.7 +Complier,Control,0,1,28,43.9,No bed net,28 +Never taker,Control,0,0,60.4,49.7,No bed net,60.4 +Always taker,Treatment,1,1,54.1,46.2,Bed net,46.2 +Never taker,Treatment,0,0,31,30.7,No bed net,31 +Complier,Treatment,0,1,36.5,27.2,Bed net,27.2 +Complier,Treatment,0,1,46.7,53,Bed net,53 +Complier,Control,0,1,51.2,45.7,No bed net,51.2 +Never taker,Control,0,0,71.1,51.9,No bed net,71.1 +Never taker,Control,0,0,22,34.8,No bed net,22 +Never taker,Treatment,0,0,48.3,33.6,No bed net,48.3 +Complier,Control,0,1,34.9,53.4,No bed net,34.9 +Never taker,Control,0,0,65.9,45.9,No bed net,65.9 +Complier,Treatment,0,1,55.6,55.5,Bed net,55.5 +Complier,Control,0,1,31.4,59.6,No bed net,31.4 +Never taker,Control,0,0,38.6,48.7,No bed net,38.6 +Complier,Control,0,1,29.4,31.3,No bed net,29.4 +Complier,Control,0,1,35.7,35.1,No bed net,35.7 +Complier,Control,0,1,39.2,63.9,No bed net,39.2 +Complier,Control,0,1,31.9,61.1,No bed net,31.9 +Always taker,Control,1,1,53.8,50.7,Bed net,50.7 +Never taker,Treatment,0,0,45.3,50.3,No bed net,45.3 +Complier,Treatment,0,1,37.4,67,Bed net,67 +Never taker,Control,0,0,14.9,33.5,No bed net,14.9 +Never taker,Treatment,0,0,37.6,33.5,No bed net,37.6 +Always taker,Treatment,1,1,53.9,44,Bed net,44 +Complier,Control,0,1,39.9,51.1,No bed net,39.9 +Complier,Treatment,0,1,43.7,66.5,Bed net,66.5 +Always taker,Control,1,1,71,30.9,Bed net,30.9 +Complier,Control,0,1,39.7,39.4,No bed net,39.7 +Complier,Control,0,1,19.4,74.6,No bed net,19.4 +Complier,Treatment,0,1,39.1,70.4,Bed net,70.4 +Always taker,Control,1,1,66.2,53.2,Bed net,53.2 +Never taker,Control,0,0,35.7,35.3,No bed net,35.7 +Complier,Treatment,0,1,31.1,65.6,Bed net,65.6 +Never taker,Treatment,0,0,26.4,28.7,No bed net,26.4 +Always taker,Treatment,1,1,68.8,34.1,Bed net,34.1 +Never taker,Treatment,0,0,51.3,48.9,No bed net,51.3 +Never taker,Treatment,0,0,20.5,53.6,No bed net,20.5 +Always taker,Control,1,1,54.7,55,Bed net,55 +Never taker,Treatment,0,0,32.5,44.5,No bed net,32.5 +Never taker,Control,0,0,42.2,41.7,No bed net,42.2 +Always taker,Control,1,1,64.4,37.5,Bed net,37.5 +Complier,Treatment,0,1,34.4,27.5,Bed net,27.5 +Always taker,Control,1,1,42.4,75.3,Bed net,75.3 +Always taker,Control,1,1,68.4,65.2,Bed net,65.2 +Never taker,Control,0,0,51.7,46.9,No bed net,51.7 +Always taker,Control,1,1,61.8,72.2,Bed net,72.2 +Complier,Treatment,0,1,38.3,92.3,Bed net,92.3 +Complier,Treatment,0,1,35.7,42.3,Bed net,42.3 +Never taker,Treatment,0,0,61.2,5.2,No bed net,61.2 +Never taker,Control,0,0,46.4,10.2,No bed net,46.4 +Complier,Treatment,0,1,41.3,53.8,Bed net,53.8 +Never taker,Treatment,0,0,53.7,13.6,No bed net,53.7 +Always taker,Treatment,1,1,50.5,43.9,Bed net,43.9 +Complier,Treatment,0,1,42.4,46.8,Bed net,46.8 +Always taker,Control,1,1,57.2,50.4,Bed net,50.4 +Complier,Treatment,0,1,36.1,57,Bed net,57 +Never taker,Control,0,0,38.9,42.4,No bed net,38.9 +Complier,Treatment,0,1,36.2,41,Bed net,41 +Complier,Treatment,0,1,36.4,51.7,Bed net,51.7 +Never taker,Control,0,0,34.3,23.2,No bed net,34.3 +Complier,Control,0,1,43.4,46.7,No bed net,43.4 +Complier,Treatment,0,1,44.9,36.9,Bed net,36.9 +Never taker,Treatment,0,0,35.7,42,No bed net,35.7 +Complier,Treatment,0,1,33.5,72.4,Bed net,72.4 +Never taker,Control,0,0,14.2,37.8,No bed net,14.2 +Always taker,Treatment,1,1,50.3,70.3,Bed net,70.3 +Complier,Treatment,0,1,40.4,58.4,Bed net,58.4 +Always taker,Treatment,1,1,55.4,57.7,Bed net,57.7 +Never taker,Control,0,0,28.2,43.5,No bed net,28.2 +Complier,Treatment,0,1,36.7,38.4,Bed net,38.4 +Never taker,Control,0,0,41,7.9,No bed net,41 +Never taker,Treatment,0,0,10.8,28.4,No bed net,10.8 +Never taker,Treatment,0,0,37.3,35.9,No bed net,37.3 +Complier,Control,0,1,25.8,55.9,No bed net,25.8 +Never taker,Control,0,0,35.4,26.9,No bed net,35.4 +Never taker,Control,0,0,52.5,27.3,No bed net,52.5 +Complier,Control,0,1,46.7,47.9,No bed net,46.7 +Complier,Control,0,1,55,35,No bed net,55 +Complier,Control,0,1,50.3,49.2,No bed net,50.3 +Never taker,Control,0,0,42.3,27.1,No bed net,42.3 +Never taker,Treatment,0,0,47.9,12.4,No bed net,47.9 +Complier,Treatment,0,1,39.9,44.1,Bed net,44.1 +Never taker,Control,0,0,33.9,39.4,No bed net,33.9 +Never taker,Control,0,0,61.8,42.5,No bed net,61.8 +Complier,Control,0,1,38.7,57.3,No bed net,38.7 +Never taker,Treatment,0,0,24.5,31.8,No bed net,24.5 +Never taker,Control,0,0,59.3,34.1,No bed net,59.3 +Complier,Control,0,1,28.3,34.7,No bed net,28.3 +Complier,Control,0,1,27.1,72.9,No bed net,27.1 +Never taker,Control,0,0,32.9,37.7,No bed net,32.9 +Complier,Control,0,1,22.5,60.4,No bed net,22.5 +Always taker,Control,1,1,48.1,63.8,Bed net,63.8 +Never taker,Treatment,0,0,29.5,69,No bed net,29.5 +Never taker,Treatment,0,0,44.1,32,No bed net,44.1 +Never taker,Treatment,0,0,35.3,36.4,No bed net,35.3 +Complier,Treatment,0,1,29.1,57.5,Bed net,57.5 +Complier,Treatment,0,1,28.4,73.2,Bed net,73.2 +Complier,Treatment,0,1,29.8,17.2,Bed net,17.2 +Never taker,Control,0,0,32.8,30.3,No bed net,32.8 +Never taker,Treatment,0,0,36,33.8,No bed net,36 +Complier,Control,0,1,32,61.7,No bed net,32 +Always taker,Treatment,1,1,59.4,52.1,Bed net,52.1 +Complier,Control,0,1,49.9,40.4,No bed net,49.9 +Never taker,Treatment,0,0,55.6,36.1,No bed net,55.6 +Never taker,Control,0,0,51,28.3,No bed net,51 +Never taker,Control,0,0,50,36,No bed net,50 +Complier,Treatment,0,1,27.5,41.1,Bed net,41.1 +Complier,Control,0,1,39.3,53.8,No bed net,39.3 +Never taker,Control,0,0,19.7,42.6,No bed net,19.7 +Never taker,Control,0,0,41.9,32,No bed net,41.9 +Complier,Control,0,1,40.1,67.6,No bed net,40.1 +Never taker,Control,0,0,27.8,51.9,No bed net,27.8 +Never taker,Control,0,0,34.3,62.8,No bed net,34.3 +Complier,Treatment,0,1,44.6,57.7,Bed net,57.7 +Never taker,Control,0,0,35.3,46.4,No bed net,35.3 +Never taker,Control,0,0,32.6,17.1,No bed net,32.6 +Never taker,Treatment,0,0,35.4,36.6,No bed net,35.4 +Complier,Control,0,1,37,48.3,No bed net,37 +Complier,Control,0,1,44.4,60.3,No bed net,44.4 +Never taker,Control,0,0,26.9,41.2,No bed net,26.9 +Never taker,Treatment,0,0,27.4,25.4,No bed net,27.4 +Never taker,Treatment,0,0,32.9,29,No bed net,32.9 +Complier,Control,0,1,49.5,30.5,No bed net,49.5 +Complier,Treatment,0,1,36.7,72.7,Bed net,72.7 +Complier,Control,0,1,37.5,45.3,No bed net,37.5 +Complier,Control,0,1,52.8,49.2,No bed net,52.8 +Complier,Control,0,1,39.9,55.3,No bed net,39.9 +Complier,Treatment,0,1,49.8,44,Bed net,44 +Always taker,Control,1,1,50.6,36.6,Bed net,36.6 +Complier,Control,0,1,29.5,67.3,No bed net,29.5 +Complier,Treatment,0,1,42.7,45.3,Bed net,45.3 +Never taker,Control,0,0,41.7,5.7,No bed net,41.7 +Complier,Control,0,1,39.9,46.5,No bed net,39.9 +Always taker,Control,1,1,45.4,55.4,Bed net,55.4 +Complier,Control,0,1,30.2,33.9,No bed net,30.2 +Complier,Control,0,1,41.1,46.6,No bed net,41.1 +Never taker,Control,0,0,33.1,35.9,No bed net,33.1 +Never taker,Treatment,0,0,14.7,47.1,No bed net,14.7 +Never taker,Treatment,0,0,24.6,24.7,No bed net,24.6 +Complier,Treatment,0,1,33.8,57.3,Bed net,57.3 +Always taker,Control,1,1,46.8,60.1,Bed net,60.1 +Complier,Control,0,1,38.2,67.3,No bed net,38.2 +Never taker,Control,0,0,31,40.5,No bed net,31 +Never taker,Control,0,0,49.1,30,No bed net,49.1 +Complier,Treatment,0,1,32.2,61.2,Bed net,61.2 +Complier,Treatment,0,1,31.2,42.1,Bed net,42.1 +Complier,Control,0,1,39.5,34.1,No bed net,39.5 +Complier,Treatment,0,1,36.2,54.8,Bed net,54.8 +Complier,Treatment,0,1,32,47.8,Bed net,47.8 +Always taker,Treatment,1,1,39.2,60.6,Bed net,60.6 +Complier,Treatment,0,1,32.4,83.4,Bed net,83.4 +Always taker,Treatment,1,1,54.6,48.9,Bed net,48.9 +Never taker,Control,0,0,29.4,14.1,No bed net,29.4 +Never taker,Treatment,0,0,41,54.7,No bed net,41 +Always taker,Treatment,1,1,43.6,44.2,Bed net,44.2 +Never taker,Treatment,0,0,34.1,39.4,No bed net,34.1 +Never taker,Control,0,0,54,29.1,No bed net,54 +Never taker,Treatment,0,0,63.6,25.9,No bed net,63.6 +Never taker,Treatment,0,0,37.5,56.1,No bed net,37.5 +Never taker,Treatment,0,0,37.6,70.4,No bed net,37.6 +Complier,Control,0,1,42.2,29,No bed net,42.2 +Always taker,Treatment,1,1,63.6,71.8,Bed net,71.8 +Complier,Control,0,1,30.8,33.1,No bed net,30.8 +Always taker,Treatment,1,1,52.6,63,Bed net,63 +Complier,Control,0,1,36.5,33.5,No bed net,36.5 +Always taker,Control,1,1,72.3,67.4,Bed net,67.4 +Never taker,Treatment,0,0,57,46.7,No bed net,57 +Never taker,Treatment,0,0,41,30.7,No bed net,41 +Complier,Control,0,1,43.3,52.4,No bed net,43.3 +Complier,Treatment,0,1,28.8,37.5,Bed net,37.5 +Complier,Treatment,0,1,37.8,59.6,Bed net,59.6 +Always taker,Control,1,1,46.3,48.9,Bed net,48.9 +Complier,Control,0,1,41.8,50.4,No bed net,41.8 +Complier,Treatment,0,1,46.3,58.5,Bed net,58.5 +Always taker,Treatment,1,1,63.8,53.8,Bed net,53.8 +Never taker,Control,0,0,36,37.3,No bed net,36 +Complier,Treatment,0,1,34.2,59.1,Bed net,59.1 +Always taker,Treatment,1,1,65.7,49.5,Bed net,49.5 +Complier,Control,0,1,37.5,50.6,No bed net,37.5 +Complier,Control,0,1,34.5,84.5,No bed net,34.5 +Complier,Treatment,0,1,38.5,62.8,Bed net,62.8 +Complier,Treatment,0,1,41.9,64.8,Bed net,64.8 +Never taker,Treatment,0,0,31.9,25.2,No bed net,31.9 +Never taker,Control,0,0,43.1,17.8,No bed net,43.1 +Complier,Treatment,0,1,34.9,51.6,Bed net,51.6 +Always taker,Treatment,1,1,57.8,45.3,Bed net,45.3 +Never taker,Treatment,0,0,39.3,63.4,No bed net,39.3 +Complier,Control,0,1,57.4,51.1,No bed net,57.4 +Complier,Control,0,1,43.9,34.8,No bed net,43.9 +Complier,Treatment,0,1,34.6,36.6,Bed net,36.6 +Complier,Treatment,0,1,36.1,73.2,Bed net,73.2 +Always taker,Control,1,1,65.7,65.4,Bed net,65.4 +Never taker,Treatment,0,0,46.7,40.1,No bed net,46.7 +Complier,Treatment,0,1,41.3,70.7,Bed net,70.7 +Never taker,Control,0,0,35.7,41,No bed net,35.7 +Never taker,Treatment,0,0,31.6,36.2,No bed net,31.6 +Complier,Treatment,0,1,27.5,52.8,Bed net,52.8 +Never taker,Treatment,0,0,49.6,23.8,No bed net,49.6 +Never taker,Treatment,0,0,35.2,42.2,No bed net,35.2 +Never taker,Treatment,0,0,37.8,43.8,No bed net,37.8 +Never taker,Control,0,0,54.9,46.8,No bed net,54.9 +Complier,Control,0,1,32.3,82.3,No bed net,32.3 +Never taker,Treatment,0,0,47.3,20.3,No bed net,47.3 +Never taker,Control,0,0,14.1,22.3,No bed net,14.1 +Always taker,Control,1,1,42.9,52.7,Bed net,52.7 +Always taker,Control,1,1,44.8,59.1,Bed net,59.1 +Complier,Treatment,0,1,45.1,47,Bed net,47 +Complier,Treatment,0,1,31.2,47.9,Bed net,47.9 +Complier,Treatment,0,1,43,79.2,Bed net,79.2 +Complier,Treatment,0,1,29.6,87.3,Bed net,87.3 +Never taker,Treatment,0,0,40.5,36.3,No bed net,40.5 +Complier,Control,0,1,36.6,60.3,No bed net,36.6 +Always taker,Control,1,1,74.5,61.8,Bed net,61.8 +Never taker,Control,0,0,31,41.7,No bed net,31 +Always taker,Treatment,1,1,61.9,53.9,Bed net,53.9 +Complier,Treatment,0,1,34.5,42.6,Bed net,42.6 +Complier,Treatment,0,1,44.1,73.4,Bed net,73.4 +Never taker,Treatment,0,0,44.1,19.3,No bed net,44.1 +Never taker,Treatment,0,0,31.6,43.8,No bed net,31.6 +Complier,Control,0,1,39.9,79.1,No bed net,39.9 +Always taker,Treatment,1,1,60.4,55.5,Bed net,55.5 +Never taker,Treatment,0,0,36.5,41.4,No bed net,36.5 +Complier,Control,0,1,19.6,45.9,No bed net,19.6 +Never taker,Treatment,0,0,57.1,36.3,No bed net,57.1 +Never taker,Treatment,0,0,62.8,31.6,No bed net,62.8 +Never taker,Treatment,0,0,28.8,31.2,No bed net,28.8 +Never taker,Treatment,0,0,46.2,29.8,No bed net,46.2 +Always taker,Control,1,1,51.1,38.4,Bed net,38.4 +Always taker,Treatment,1,1,49.4,47.4,Bed net,47.4 +Never taker,Control,0,0,51.6,56.4,No bed net,51.6 +Complier,Treatment,0,1,23.2,100,Bed net,100 +Never taker,Control,0,0,49.3,34.9,No bed net,49.3 +Never taker,Control,0,0,62,40.9,No bed net,62 +Complier,Control,0,1,43.9,40.6,No bed net,43.9 +Never taker,Control,0,0,45.2,38.9,No bed net,45.2 +Never taker,Control,0,0,45.2,57.5,No bed net,45.2 +Never taker,Treatment,0,0,41.4,19.4,No bed net,41.4 +Never taker,Treatment,0,0,24,20.4,No bed net,24 +Never taker,Control,0,0,52.3,33.1,No bed net,52.3 +Complier,Control,0,1,46.8,26.9,No bed net,46.8 +Never taker,Treatment,0,0,39.8,64,No bed net,39.8 +Complier,Treatment,0,1,49.6,46.7,Bed net,46.7 +Never taker,Control,0,0,31.4,14.4,No bed net,31.4 +Never taker,Treatment,0,0,29.1,34.9,No bed net,29.1 +Complier,Treatment,0,1,49.4,60.2,Bed net,60.2 +Complier,Control,0,1,39.4,51,No bed net,39.4 +Complier,Control,0,1,31.3,76.8,No bed net,31.3 +Complier,Treatment,0,1,31.3,71.3,Bed net,71.3 +Never taker,Control,0,0,52.8,51.1,No bed net,52.8 +Complier,Treatment,0,1,40.5,48.4,Bed net,48.4 +Complier,Control,0,1,40.4,47.7,No bed net,40.4 +Never taker,Treatment,0,0,24.7,44,No bed net,24.7 +Never taker,Control,0,0,48,37.9,No bed net,48 +Never taker,Treatment,0,0,41.5,38.7,No bed net,41.5 +Always taker,Control,1,1,55.7,38.3,Bed net,38.3 +Complier,Control,0,1,44.7,52.1,No bed net,44.7 +Always taker,Control,1,1,55.9,48.1,Bed net,48.1 +Always taker,Treatment,1,1,65.7,45.8,Bed net,45.8 +Always taker,Control,1,1,51.1,43.9,Bed net,43.9 +Never taker,Control,0,0,40.6,52.1,No bed net,40.6 +Complier,Treatment,0,1,36.5,53.3,Bed net,53.3 +Never taker,Control,0,0,45.9,36.3,No bed net,45.9 +Never taker,Control,0,0,44.6,58.6,No bed net,44.6 +Complier,Control,0,1,25.5,61.1,No bed net,25.5 +Complier,Treatment,0,1,43.3,38.2,Bed net,38.2 +Complier,Treatment,0,1,30,56.6,Bed net,56.6 +Never taker,Treatment,0,0,51.4,51.2,No bed net,51.4 +Never taker,Treatment,0,0,39,45.2,No bed net,39 +Complier,Control,0,1,30.4,73,No bed net,30.4 +Always taker,Treatment,1,1,58.5,47,Bed net,47 +Complier,Treatment,0,1,43.8,40.6,Bed net,40.6 +Always taker,Control,1,1,57.2,48.5,Bed net,48.5 +Complier,Treatment,0,1,41.5,57.5,Bed net,57.5 +Never taker,Control,0,0,41.9,40.4,No bed net,41.9 +Complier,Control,0,1,34.6,59.8,No bed net,34.6 +Always taker,Control,1,1,59.8,33.2,Bed net,33.2 +Complier,Control,0,1,43.5,69.8,No bed net,43.5 +Never taker,Control,0,0,33.4,47.8,No bed net,33.4 +Never taker,Control,0,0,41.9,27.5,No bed net,41.9 +Complier,Control,0,1,41.7,67.5,No bed net,41.7 +Never taker,Treatment,0,0,27.6,29.9,No bed net,27.6 +Never taker,Treatment,0,0,37,24.9,No bed net,37 +Never taker,Treatment,0,0,33.7,49.6,No bed net,33.7 +Never taker,Treatment,0,0,50.3,51.6,No bed net,50.3 +Never taker,Control,0,0,34.9,44.2,No bed net,34.9 +Never taker,Control,0,0,39.4,32.7,No bed net,39.4 +Never taker,Treatment,0,0,41.3,49.7,No bed net,41.3 +Complier,Control,0,1,33.9,42.3,No bed net,33.9 +Always taker,Treatment,1,1,61.3,44.7,Bed net,44.7 +Never taker,Control,0,0,7.7,28.3,No bed net,7.7 +Complier,Treatment,0,1,42.8,60.8,Bed net,60.8 +Never taker,Control,0,0,35,29.4,No bed net,35 +Complier,Treatment,0,1,34.1,52,Bed net,52 +Complier,Treatment,0,1,33.5,51.1,Bed net,51.1 +Always taker,Treatment,1,1,52,52.5,Bed net,52.5 +Never taker,Control,0,0,22.6,56.4,No bed net,22.6 +Complier,Control,0,1,37.2,49.9,No bed net,37.2 +Complier,Control,0,1,34.8,50,No bed net,34.8 +Complier,Treatment,0,1,32.9,45.2,Bed net,45.2 +Never taker,Treatment,0,0,40.9,50.2,No bed net,40.9 +Complier,Treatment,0,1,15.1,52.8,Bed net,52.8 +Complier,Treatment,0,1,24.8,55.9,Bed net,55.9 +Always taker,Treatment,1,1,53.5,52.6,Bed net,52.6 +Complier,Control,0,1,46,47.6,No bed net,46 +Always taker,Control,1,1,63.3,71.5,Bed net,71.5 +Complier,Control,0,1,30.7,30.8,No bed net,30.7 +Never taker,Control,0,0,56.6,49.3,No bed net,56.6 +Never taker,Treatment,0,0,41,46,No bed net,41 +Complier,Control,0,1,38.1,31.4,No bed net,38.1 +Complier,Control,0,1,29.5,47.9,No bed net,29.5 +Complier,Control,0,1,43.4,58.4,No bed net,43.4 +Complier,Treatment,0,1,30.2,59,Bed net,59 +Never taker,Treatment,0,0,15.3,29.5,No bed net,15.3 +Complier,Treatment,0,1,45.3,53.8,Bed net,53.8 +Complier,Control,0,1,43.1,66.2,No bed net,43.1 +Always taker,Treatment,1,1,48.3,72.6,Bed net,72.6 +Always taker,Control,1,1,51.3,53.6,Bed net,53.6 +Never taker,Control,0,0,44.1,37.6,No bed net,44.1 +Never taker,Treatment,0,0,39.3,63.1,No bed net,39.3 +Complier,Control,0,1,39.4,54.1,No bed net,39.4 +Never taker,Treatment,0,0,35.2,27.9,No bed net,35.2 +Complier,Treatment,0,1,42.6,31.5,Bed net,31.5 +Never taker,Treatment,0,0,39.2,30.4,No bed net,39.2 +Always taker,Treatment,1,1,59.6,55.7,Bed net,55.7 +Always taker,Control,1,1,60,43.5,Bed net,43.5 +Complier,Control,0,1,49.9,28.6,No bed net,49.9 +Never taker,Treatment,0,0,46.8,59.2,No bed net,46.8 +Never taker,Control,0,0,50.6,27.8,No bed net,50.6 +Complier,Treatment,0,1,40.2,44.8,Bed net,44.8 +Complier,Treatment,0,1,43,80.7,Bed net,80.7 +Complier,Treatment,0,1,51.1,47,Bed net,47 +Complier,Control,0,1,41.7,82,No bed net,41.7 +Complier,Control,0,1,37.6,55.2,No bed net,37.6 +Never taker,Treatment,0,0,25.1,42.5,No bed net,25.1 +Never taker,Treatment,0,0,23.2,40,No bed net,23.2 +Never taker,Control,0,0,52.2,31.7,No bed net,52.2 +Never taker,Treatment,0,0,33.7,18,No bed net,33.7 +Complier,Control,0,1,37.9,39.2,No bed net,37.9 +Never taker,Control,0,0,30.2,44.5,No bed net,30.2 +Always taker,Treatment,1,1,51.6,72.9,Bed net,72.9 +Never taker,Treatment,0,0,35.3,27.1,No bed net,35.3 +Complier,Treatment,0,1,43,63.4,Bed net,63.4 +Complier,Control,0,1,29.8,44.9,No bed net,29.8 +Never taker,Control,0,0,41.2,26.3,No bed net,41.2 +Complier,Treatment,0,1,42.8,39.2,Bed net,39.2 +Always taker,Control,1,1,64.2,59.9,Bed net,59.9 +Never taker,Control,0,0,12.6,23.6,No bed net,12.6 +Never taker,Control,0,0,21.2,45.9,No bed net,21.2 +Always taker,Treatment,1,1,67.1,51.7,Bed net,51.7 +Never taker,Treatment,0,0,32.9,27.7,No bed net,32.9 +Complier,Control,0,1,42.6,39.9,No bed net,42.6 +Never taker,Treatment,0,0,15.5,38.4,No bed net,15.5 +Complier,Treatment,0,1,28.8,51.6,Bed net,51.6 +Never taker,Control,0,0,30.6,46,No bed net,30.6 +Complier,Control,0,1,41.4,35.9,No bed net,41.4 +Always taker,Treatment,1,1,45.8,26.2,Bed net,26.2 +Complier,Control,0,1,27.5,44,No bed net,27.5 +Always taker,Control,1,1,71.3,44.6,Bed net,44.6 +Always taker,Treatment,1,1,63.1,40.5,Bed net,40.5 +Complier,Treatment,0,1,43.4,58.8,Bed net,58.8 +Always taker,Control,1,1,60.4,57.4,Bed net,57.4 +Complier,Treatment,0,1,35.4,67.5,Bed net,67.5 +Never taker,Treatment,0,0,37.8,15.7,No bed net,37.8 +Complier,Control,0,1,42.8,42.7,No bed net,42.8 +Complier,Treatment,0,1,47.2,50,Bed net,50 +Complier,Control,0,1,36.2,54.1,No bed net,36.2 +Always taker,Control,1,1,46.1,36.7,Bed net,36.7 +Complier,Control,0,1,28.8,37.8,No bed net,28.8 +Always taker,Control,1,1,59.4,65.8,Bed net,65.8 +Complier,Control,0,1,23.6,70.9,No bed net,23.6 +Always taker,Control,1,1,86.7,62.8,Bed net,62.8 +Always taker,Treatment,1,1,56.4,70.7,Bed net,70.7 +Complier,Treatment,0,1,36.8,47,Bed net,47 +Complier,Treatment,0,1,46.8,49.3,Bed net,49.3 +Always taker,Treatment,1,1,46.1,77.7,Bed net,77.7 +Complier,Treatment,0,1,32.3,58.9,Bed net,58.9 +Never taker,Treatment,0,0,37.9,35.7,No bed net,37.9 +Never taker,Treatment,0,0,15.6,49.4,No bed net,15.6 +Never taker,Control,0,0,23.3,28.7,No bed net,23.3 +Always taker,Control,1,1,54.5,75.3,Bed net,75.3 +Complier,Control,0,1,43.7,10.4,No bed net,43.7 +Always taker,Treatment,1,1,64.6,61.1,Bed net,61.1 +Complier,Treatment,0,1,28.5,63.7,Bed net,63.7 +Never taker,Treatment,0,0,35.2,31.5,No bed net,35.2 +Never taker,Treatment,0,0,37.6,37,No bed net,37.6 +Complier,Treatment,0,1,35.9,52,Bed net,52 +Never taker,Control,0,0,30.5,22.8,No bed net,30.5 +Complier,Treatment,0,1,44.5,60.1,Bed net,60.1 +Complier,Control,0,1,53.4,47,No bed net,53.4 +Complier,Treatment,0,1,23.6,53.5,Bed net,53.5 +Complier,Control,0,1,44.2,53.9,No bed net,44.2 +Complier,Control,0,1,42.8,69.1,No bed net,42.8 +Always taker,Treatment,1,1,66,55.3,Bed net,55.3 +Never taker,Control,0,0,31.6,32.3,No bed net,31.6 +Complier,Control,0,1,41.5,66.2,No bed net,41.5 diff --git a/docs/_site/files/data/generated_data/father_education.csv b/docs/_site/files/data/generated_data/father_education.csv new file mode 100644 index 00000000..c77a5dd0 --- /dev/null +++ b/docs/_site/files/data/generated_data/father_education.csv @@ -0,0 +1,1001 @@ +wage,educ,ability,fathereduc +180.37,18.54,408.48,17.15 +100.23,16.24,309.92,15.49 +124.56,18.19,302.91,17.68 +177.59,16.55,342.21,15.55 +265.37,17.34,534.46,14.74 +186.89,17.46,408.54,15.97 +160.68,16.83,450.99,14.91 +205.23,19.59,556.69,17 +183.76,15.23,438.19,13.27 +190.6,18.47,296.59,18.05 +95.32,14.83,245.97,14.5 +109.44,17.87,235.51,17.92 +129.2,15.35,329.49,14.34 +187.05,16.9,438.74,15.09 +128.37,14.96,427.97,13.06 +200.69,18.14,339.55,17.3 +111.28,15.28,269.16,14.8 +219.3,17.82,417.08,16.29 +246.5,18.1,482.59,16.01 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tutor,52.4 +296,57.2,TRUE,Tutor,70.6 +297,52,TRUE,Tutor,65.4 +298,76,FALSE,No tutor,60.4 +299,51.4,TRUE,Tutor,69.7 +300,88.2,FALSE,No tutor,72 +301,98.3,FALSE,No tutor,74.3 +302,84.7,FALSE,No tutor,67.9 +303,85.3,FALSE,No tutor,65.9 +304,98.2,FALSE,No tutor,72.6 +305,66.8,TRUE,Tutor,60.8 +306,88.4,FALSE,No tutor,69.6 +307,81.3,FALSE,No tutor,71.6 +308,95.1,FALSE,No tutor,73.5 +309,89.4,FALSE,No tutor,71.3 +310,79.6,FALSE,No tutor,64.5 +311,57.7,TRUE,Tutor,50.9 +312,28.8,TRUE,Tutor,44.7 +313,77.9,FALSE,No tutor,54.3 +314,80.2,FALSE,No tutor,49.4 +315,85.2,FALSE,No tutor,76.6 +316,43.4,TRUE,Tutor,61.8 +317,93,FALSE,No tutor,75.6 +318,72.2,FALSE,No tutor,63.4 +319,78.5,FALSE,No tutor,67.1 +320,86.4,FALSE,No tutor,64.4 +321,94.6,FALSE,No tutor,80.8 +322,73.6,FALSE,No tutor,65.7 +323,78.4,FALSE,No tutor,68.3 +324,89,FALSE,No tutor,72.3 +325,75.5,FALSE,No tutor,67.2 +326,82.1,FALSE,No tutor,59.6 +327,87.3,FALSE,No tutor,66.7 +328,68.2,TRUE,Tutor,78.4 +329,82.9,FALSE,No tutor,58.5 +330,96.4,FALSE,No tutor,74.9 +331,99,FALSE,No tutor,68 +332,86.1,FALSE,No tutor,64.9 +333,60.2,TRUE,Tutor,60 +334,56.4,TRUE,Tutor,58.3 +335,72,FALSE,No tutor,64.2 +336,94.6,FALSE,No tutor,74.2 +337,74.1,FALSE,No tutor,68.6 +338,38.4,TRUE,Tutor,44.8 +339,99.8,FALSE,No tutor,77 +340,88.4,FALSE,No tutor,62.3 +341,53.1,TRUE,Tutor,63.1 +342,67.6,TRUE,Tutor,56.1 +343,61.5,TRUE,Tutor,58.6 +344,69.1,TRUE,Tutor,75.7 +345,67.3,TRUE,Tutor,69.1 +346,77.5,FALSE,No tutor,63.7 +347,89.8,FALSE,No tutor,67.7 +348,92.6,FALSE,No tutor,75.2 +349,77.2,FALSE,No tutor,68.1 +350,84.1,FALSE,No tutor,69 +351,89.6,FALSE,No tutor,60.1 +352,70,TRUE,Tutor,74.4 +353,75.1,FALSE,No tutor,62.1 +354,91.7,FALSE,No tutor,76.3 +355,85.3,FALSE,No tutor,72.1 +356,79,FALSE,No tutor,73.3 +357,93.9,FALSE,No tutor,65.5 +358,82.2,FALSE,No tutor,62.8 +359,87.6,FALSE,No tutor,74.7 +360,97.7,FALSE,No tutor,65.7 +361,82.2,FALSE,No tutor,79.6 +362,85.5,FALSE,No tutor,57.8 +363,86.4,FALSE,No tutor,57.5 +364,66.9,TRUE,Tutor,67.2 +365,75.3,FALSE,No tutor,66.5 +366,92.6,FALSE,No tutor,78.9 +367,70.8,FALSE,No tutor,66.6 +368,79.5,FALSE,No tutor,69.4 +369,74.9,FALSE,No tutor,67.2 +370,64.6,TRUE,Tutor,58.9 +371,75.8,FALSE,No tutor,68.3 +372,38.8,TRUE,Tutor,54.8 +373,75.8,FALSE,No tutor,62 +374,92.8,FALSE,No tutor,67.5 +375,92.5,FALSE,No tutor,77.8 +376,96.8,FALSE,No tutor,79 +377,88.7,FALSE,No tutor,72.5 +378,88,FALSE,No tutor,65.5 +379,86.4,FALSE,No tutor,68.9 +380,63,TRUE,Tutor,74.2 +381,92.9,FALSE,No tutor,72.1 +382,77.4,FALSE,No tutor,60.5 +383,68.5,TRUE,Tutor,72 +384,80,FALSE,No tutor,71.3 +385,74.8,FALSE,No tutor,69 +386,90.1,FALSE,No tutor,71.7 +387,93,FALSE,No tutor,68.7 +388,73,FALSE,No tutor,53.2 +389,83.9,FALSE,No tutor,75.8 +390,71.8,FALSE,No tutor,66.6 +391,71.1,FALSE,No tutor,72.6 +392,45.4,TRUE,Tutor,56.8 +393,83.9,FALSE,No tutor,61 +394,62.1,TRUE,Tutor,64 +395,86.9,FALSE,No tutor,57.8 +396,94.4,FALSE,No tutor,67.4 +397,92.4,FALSE,No tutor,75.5 +398,80.2,FALSE,No tutor,52.4 +399,76,FALSE,No tutor,59.4 +400,88.6,FALSE,No tutor,64.5 +401,73.7,FALSE,No tutor,68.3 +402,63.7,TRUE,Tutor,68.7 +403,93.1,FALSE,No tutor,79.8 +404,96.9,FALSE,No tutor,74 +405,92.9,FALSE,No tutor,59.5 +406,89.5,FALSE,No tutor,73.2 +407,82.3,FALSE,No tutor,65.6 +408,58.9,TRUE,Tutor,57.8 +409,72.9,FALSE,No tutor,71.6 +410,85.9,FALSE,No tutor,77 +411,78.4,FALSE,No tutor,70.7 +412,85.2,FALSE,No tutor,65.2 +413,54.4,TRUE,Tutor,61.6 +414,53.3,TRUE,Tutor,50.8 +415,92.1,FALSE,No tutor,79.4 +416,88,FALSE,No tutor,72.3 +417,95.7,FALSE,No tutor,63.5 +418,69.9,TRUE,Tutor,74.6 +419,73.6,FALSE,No tutor,63.7 +420,89,FALSE,No tutor,70.5 +421,64.3,TRUE,Tutor,66.8 +422,94.1,FALSE,No tutor,68.7 +423,91.6,FALSE,No tutor,64.9 +424,78.5,FALSE,No tutor,58.5 +425,68.1,TRUE,Tutor,62.8 +426,62.9,TRUE,Tutor,73 +427,56.4,TRUE,Tutor,63.4 +428,92.6,FALSE,No tutor,82.9 +429,63.4,TRUE,Tutor,65 +430,79.6,FALSE,No tutor,71.8 +431,81.6,FALSE,No tutor,76.4 +432,94.7,FALSE,No tutor,81.7 +433,68.4,TRUE,Tutor,64.7 +434,71.2,FALSE,No tutor,58.1 +435,78.1,FALSE,No tutor,58.3 +436,91.1,FALSE,No tutor,74.5 +437,89,FALSE,No tutor,68.1 +438,78,FALSE,No tutor,60.6 +439,54.9,TRUE,Tutor,63.1 +440,83.3,FALSE,No tutor,74.3 +441,89.3,FALSE,No tutor,59.9 +442,68.3,TRUE,Tutor,61.6 +443,69.7,TRUE,Tutor,71.3 +444,47.2,TRUE,Tutor,59.6 +445,42.4,TRUE,Tutor,58.5 +446,80.1,FALSE,No tutor,67 +447,77.8,FALSE,No tutor,64.3 +448,87.2,FALSE,No tutor,68.5 +449,89.1,FALSE,No tutor,67.7 +450,83.1,FALSE,No tutor,73.2 +451,73.7,FALSE,No tutor,72.8 +452,78.2,FALSE,No tutor,66.8 +453,74.2,FALSE,No tutor,56.3 +454,74.3,FALSE,No tutor,69 +455,63.3,TRUE,Tutor,66.5 +456,82,FALSE,No tutor,67.3 +457,37.2,TRUE,Tutor,64.1 +458,69.5,TRUE,Tutor,76 +459,92.3,FALSE,No tutor,62.9 +460,82.1,FALSE,No tutor,73.9 +461,67.9,TRUE,Tutor,74.4 +462,83.9,FALSE,No tutor,72.3 +463,71.4,FALSE,No tutor,50 +464,47.3,TRUE,Tutor,60.1 +465,86.9,FALSE,No tutor,63.9 +466,78.1,FALSE,No tutor,57.6 +467,85.9,FALSE,No tutor,70.8 +468,91.7,FALSE,No tutor,78.6 +469,96.5,FALSE,No tutor,71.9 +470,74.3,FALSE,No tutor,64.8 +471,65.9,TRUE,Tutor,55.3 +472,65.1,TRUE,Tutor,71.4 +473,93.8,FALSE,No tutor,74.2 +474,91.8,FALSE,No tutor,65.2 +475,91.9,FALSE,No tutor,75.8 +476,87.4,FALSE,No tutor,68.8 +477,74.8,FALSE,No tutor,58.3 +478,66.1,TRUE,Tutor,71.1 +479,57.2,TRUE,Tutor,71.8 +480,65.6,TRUE,Tutor,65.3 +481,87.5,FALSE,No tutor,70.9 +482,91.3,FALSE,No tutor,82.6 +483,82.4,FALSE,No tutor,64 +484,75.9,FALSE,No tutor,61.9 +485,63.1,TRUE,Tutor,70.4 +486,89.1,FALSE,No tutor,70.9 +487,72.5,FALSE,No tutor,65.3 +488,46.4,TRUE,Tutor,53.6 +489,89.6,FALSE,No tutor,79.9 +490,81.3,FALSE,No tutor,72.3 +491,96.1,FALSE,No tutor,76.4 +492,72.6,FALSE,No tutor,48.7 +493,86.8,FALSE,No tutor,69.6 +494,89.9,FALSE,No tutor,77.1 +495,88.4,FALSE,No tutor,55.7 +496,69.4,TRUE,Tutor,71.5 +497,97.8,FALSE,No tutor,69.3 +498,84.1,FALSE,No tutor,57.4 +499,90.7,FALSE,No tutor,67 +500,90.2,FALSE,No tutor,58.8 +501,68.7,TRUE,Tutor,75 +502,71.3,FALSE,No tutor,71.9 +503,79.5,FALSE,No tutor,71.6 +504,67.4,TRUE,Tutor,73 +505,86.4,FALSE,No tutor,66.3 +506,97.3,FALSE,No tutor,77.2 +507,81.4,FALSE,No tutor,60.9 +508,83.3,FALSE,No tutor,63.2 +509,75,FALSE,No tutor,56.8 +510,69.8,TRUE,Tutor,56.9 +511,57.9,TRUE,Tutor,73.3 +512,77,FALSE,No tutor,55.2 +513,85.2,FALSE,No tutor,69.6 +514,82.4,FALSE,No tutor,71.9 +515,60.6,TRUE,Tutor,76.3 +516,89.1,FALSE,No tutor,75.6 +517,90.2,FALSE,No tutor,72.4 +518,72.1,FALSE,No tutor,72.7 +519,65.7,TRUE,Tutor,70.6 +520,61.6,TRUE,Tutor,61.6 +521,77.6,FALSE,No tutor,72.5 +522,80.7,FALSE,No tutor,65.4 +523,53,TRUE,Tutor,70.4 +524,91.9,FALSE,No tutor,71.4 +525,55.7,TRUE,Tutor,55.2 +526,86.7,FALSE,No tutor,76.3 +527,75.5,FALSE,No tutor,54.7 +528,68.6,TRUE,Tutor,75.9 +529,75.5,FALSE,No tutor,67.7 +530,85.2,FALSE,No tutor,58.8 +531,74.7,FALSE,No tutor,68.2 +532,89,FALSE,No tutor,76.2 +533,87,FALSE,No tutor,54.6 +534,54.4,TRUE,Tutor,63.9 +535,71.4,FALSE,No tutor,44 +536,89.6,FALSE,No tutor,70.3 +537,77.7,FALSE,No tutor,69.7 +538,66,TRUE,Tutor,72.9 +539,89.4,FALSE,No tutor,57.4 +540,83.5,FALSE,No tutor,62.3 +541,56.1,TRUE,Tutor,57.7 +542,84.6,FALSE,No tutor,67.4 +543,95.5,FALSE,No tutor,71.3 +544,69.8,TRUE,Tutor,73.5 +545,94,FALSE,No tutor,62.2 +546,94.3,FALSE,No tutor,74.6 +547,76.6,FALSE,No tutor,58.4 +548,76.8,FALSE,No tutor,50.5 +549,78.3,FALSE,No tutor,64.5 +550,72.4,FALSE,No tutor,72.2 +551,87.2,FALSE,No tutor,73.1 +552,75.7,FALSE,No tutor,57.9 +553,85.3,FALSE,No tutor,57.2 +554,78.9,FALSE,No tutor,62.8 +555,91.9,FALSE,No tutor,63.8 +556,79.6,FALSE,No tutor,56.8 +557,76,FALSE,No tutor,54.2 +558,87.5,FALSE,No tutor,62.5 +559,77.1,FALSE,No tutor,65 +560,86.9,FALSE,No tutor,59.7 +561,86.9,FALSE,No tutor,72.2 +562,81,FALSE,No tutor,62.7 +563,68.4,TRUE,Tutor,73 +564,81,FALSE,No tutor,61.6 +565,74.4,FALSE,No tutor,58.1 +566,56.8,TRUE,Tutor,64.2 +567,82.2,FALSE,No tutor,65.9 +568,79.5,FALSE,No tutor,61.2 +569,68,TRUE,Tutor,76.8 +570,92.8,FALSE,No tutor,62.6 +571,67.2,TRUE,Tutor,66.4 +572,85.5,FALSE,No tutor,63.2 +573,91.8,FALSE,No tutor,72.2 +574,96.1,FALSE,No tutor,84.5 +575,87.7,FALSE,No tutor,62.6 +576,92.1,FALSE,No tutor,73 +577,92.2,FALSE,No tutor,66 +578,92.4,FALSE,No tutor,79.1 +579,67.2,TRUE,Tutor,56.8 +580,89.5,FALSE,No tutor,72.5 +581,86.5,FALSE,No tutor,68.7 +582,83.9,FALSE,No tutor,70.9 +583,74.4,FALSE,No tutor,65.9 +584,83.1,FALSE,No tutor,74.4 +585,60.5,TRUE,Tutor,64.3 +586,82.3,FALSE,No tutor,62.3 +587,97.8,FALSE,No tutor,75.3 +588,79.3,FALSE,No tutor,67.7 +589,96.5,FALSE,No tutor,69.9 +590,57.6,TRUE,Tutor,69 +591,88,FALSE,No tutor,73.3 +592,91.6,FALSE,No tutor,78.8 +593,86.2,FALSE,No tutor,63.2 +594,66.3,TRUE,Tutor,73 +595,73.2,FALSE,No tutor,52.9 +596,90.3,FALSE,No tutor,71.4 +597,77.9,FALSE,No tutor,63.9 +598,66.7,TRUE,Tutor,73.5 +599,41.3,TRUE,Tutor,53.4 +600,75.5,FALSE,No tutor,62.7 +601,87.5,FALSE,No tutor,80 +602,82.5,FALSE,No tutor,61.3 +603,61,TRUE,Tutor,78.4 +604,57.8,TRUE,Tutor,66.8 +605,69.2,TRUE,Tutor,80.1 +606,81.1,FALSE,No tutor,63.2 +607,92.6,FALSE,No tutor,57.5 +608,83.3,FALSE,No tutor,62.4 +609,85.7,FALSE,No tutor,56.7 +610,71.8,FALSE,No tutor,67.7 +611,64.1,TRUE,Tutor,61.8 +612,92.1,FALSE,No tutor,69.6 +613,84.4,FALSE,No tutor,66.3 +614,75.3,FALSE,No tutor,53.2 +615,83.4,FALSE,No tutor,69.7 +616,92.4,FALSE,No tutor,73.9 +617,99,FALSE,No tutor,78.6 +618,78.2,FALSE,No tutor,73.1 +619,78.3,FALSE,No tutor,63.6 +620,37,TRUE,Tutor,53.8 +621,97.1,FALSE,No tutor,67.5 +622,87.1,FALSE,No tutor,70.2 +623,59.2,TRUE,Tutor,71.1 +624,71.5,FALSE,No tutor,61.7 +625,75.7,FALSE,No tutor,59.2 +626,86.6,FALSE,No tutor,66.1 +627,74.2,FALSE,No tutor,53 +628,81.5,FALSE,No tutor,50 +629,75.8,FALSE,No tutor,47.9 +630,86.1,FALSE,No tutor,71.3 +631,46.3,TRUE,Tutor,58.8 +632,83.3,FALSE,No tutor,69.4 +633,82.5,FALSE,No tutor,67.8 +634,83.1,FALSE,No tutor,62.9 +635,82.4,FALSE,No tutor,69.8 +636,76.1,FALSE,No tutor,71 +637,70.7,FALSE,No tutor,62.2 +638,64.2,TRUE,Tutor,54.4 +639,81.9,FALSE,No tutor,49.7 +640,89.9,FALSE,No tutor,73 +641,94.1,FALSE,No tutor,65.1 +642,77.1,FALSE,No tutor,64.5 +643,76.9,FALSE,No tutor,64.4 +644,75.9,FALSE,No tutor,67.8 +645,79.4,FALSE,No tutor,74.8 +646,76,FALSE,No tutor,56.2 +647,76.2,FALSE,No tutor,74.2 +648,88.1,FALSE,No tutor,71.7 +649,70.4,FALSE,No tutor,46.6 +650,91.4,FALSE,No tutor,69.9 +651,94.3,FALSE,No tutor,70.6 +652,79.8,FALSE,No tutor,57.7 +653,91.5,FALSE,No tutor,62.3 +654,66.4,TRUE,Tutor,63 +655,80.1,FALSE,No tutor,61.7 +656,88.2,FALSE,No tutor,56.2 +657,79.6,FALSE,No tutor,49.8 +658,43.8,TRUE,Tutor,55.1 +659,79.6,FALSE,No tutor,66.4 +660,82.8,FALSE,No tutor,66.3 +661,70.9,FALSE,No tutor,57.6 +662,55.2,TRUE,Tutor,67.5 +663,90.9,FALSE,No tutor,65.1 +664,80.7,FALSE,No tutor,74 +665,53.8,TRUE,Tutor,42.8 +666,71.5,FALSE,No tutor,59.4 +667,80.8,FALSE,No tutor,65.9 +668,93.2,FALSE,No tutor,67.1 +669,82.1,FALSE,No tutor,69.1 +670,80.7,FALSE,No tutor,66.5 +671,79.1,FALSE,No tutor,64.4 +672,37.9,TRUE,Tutor,44.2 +673,84.6,FALSE,No tutor,61.5 +674,95,FALSE,No tutor,71.1 +675,68.3,TRUE,Tutor,70.5 +676,79.6,FALSE,No tutor,66.6 +677,81,FALSE,No tutor,74.5 +678,65.2,TRUE,Tutor,62.4 +679,99.4,FALSE,No tutor,71 +680,85.8,FALSE,No tutor,75.1 +681,80.2,FALSE,No tutor,66.5 +682,65.9,TRUE,Tutor,56.7 +683,81.9,FALSE,No tutor,54.9 +684,90.6,FALSE,No tutor,78.6 +685,70.9,FALSE,No tutor,53.7 +686,77.5,FALSE,No tutor,62.7 +687,75.9,FALSE,No tutor,59.8 +688,51.6,TRUE,Tutor,67 +689,85.6,FALSE,No tutor,69.4 +690,92.7,FALSE,No tutor,83.5 +691,93,FALSE,No tutor,76.8 +692,90.8,FALSE,No tutor,72.7 +693,93.8,FALSE,No tutor,60.5 +694,78.6,FALSE,No tutor,71.6 +695,79.4,FALSE,No tutor,62.3 +696,61.8,TRUE,Tutor,65.2 +697,91.5,FALSE,No tutor,79.8 +698,81.3,FALSE,No tutor,63.4 +699,66.7,TRUE,Tutor,54.5 +700,83.2,FALSE,No tutor,58.6 +701,61.6,TRUE,Tutor,56 +702,63.8,TRUE,Tutor,68.5 +703,86.7,FALSE,No tutor,60.2 +704,88.3,FALSE,No tutor,77.6 +705,80.8,FALSE,No tutor,66.7 +706,77.7,FALSE,No tutor,63 +707,78.7,FALSE,No tutor,60.1 +708,86,FALSE,No tutor,62 +709,89.9,FALSE,No tutor,73.4 +710,91.8,FALSE,No tutor,74.5 +711,58.3,TRUE,Tutor,66.8 +712,90.5,FALSE,No tutor,74.4 +713,44.2,TRUE,Tutor,58.1 +714,80,FALSE,No tutor,57.6 +715,85.6,FALSE,No tutor,64 +716,91.3,FALSE,No tutor,73.9 +717,78.1,FALSE,No tutor,69.1 +718,81.4,FALSE,No tutor,66.5 +719,75,FALSE,No tutor,64.1 +720,86.4,FALSE,No tutor,57.6 +721,65.3,TRUE,Tutor,80.4 +722,63.3,TRUE,Tutor,73.5 +723,53.9,TRUE,Tutor,56.8 +724,74.3,FALSE,No tutor,56.6 +725,86,FALSE,No tutor,72.7 +726,79,FALSE,No tutor,66.1 +727,95.3,FALSE,No tutor,56.9 +728,75.5,FALSE,No tutor,70.3 +729,84.1,FALSE,No tutor,64.5 +730,70.2,FALSE,No tutor,51.1 +731,82,FALSE,No tutor,69.9 +732,93.7,FALSE,No tutor,79.5 +733,77.2,FALSE,No tutor,60.4 +734,93.5,FALSE,No tutor,68.3 +735,58.7,TRUE,Tutor,67.5 +736,96.4,FALSE,No tutor,79.4 +737,80.1,FALSE,No tutor,73.9 +738,69.1,TRUE,Tutor,73.9 +739,94.7,FALSE,No tutor,83.8 +740,89.5,FALSE,No tutor,66.7 +741,85.2,FALSE,No tutor,75 +742,74.9,FALSE,No tutor,65.3 +743,82.9,FALSE,No tutor,72.1 +744,90.9,FALSE,No tutor,67.9 +745,70.1,FALSE,No tutor,59 +746,85.4,FALSE,No tutor,76.1 +747,68.1,TRUE,Tutor,67 +748,85.2,FALSE,No tutor,72.5 +749,90.2,FALSE,No tutor,64.8 +750,79.3,FALSE,No tutor,59.7 +751,64.8,TRUE,Tutor,67.7 +752,73.4,FALSE,No tutor,67.4 +753,78.7,FALSE,No tutor,67.8 +754,96.9,FALSE,No tutor,80.5 +755,78.4,FALSE,No tutor,57.1 +756,89.3,FALSE,No tutor,69.3 +757,81,FALSE,No tutor,62.8 +758,73.1,FALSE,No tutor,63.1 +759,94.7,FALSE,No tutor,70.6 +760,63.2,TRUE,Tutor,64.5 +761,73.4,FALSE,No tutor,50.1 +762,56.4,TRUE,Tutor,61.2 +763,85.6,FALSE,No tutor,76.9 +764,85,FALSE,No tutor,75.6 +765,90.6,FALSE,No tutor,77.1 +766,83.3,FALSE,No tutor,67.4 +767,57.5,TRUE,Tutor,64.6 +768,57.9,TRUE,Tutor,53.6 +769,96.4,FALSE,No tutor,83.7 +770,60.6,TRUE,Tutor,72.5 +771,55,TRUE,Tutor,73.4 +772,65.6,TRUE,Tutor,63.6 +773,89.2,FALSE,No tutor,72.9 +774,54.2,TRUE,Tutor,67.9 +775,62.9,TRUE,Tutor,73.4 +776,64.5,TRUE,Tutor,64.9 +777,83.5,FALSE,No tutor,62.1 +778,60,TRUE,Tutor,73.6 +779,75.9,FALSE,No tutor,54.2 +780,78.9,FALSE,No tutor,60.6 +781,41.8,TRUE,Tutor,54 +782,62.3,TRUE,Tutor,64 +783,84.1,FALSE,No tutor,63.5 +784,94.5,FALSE,No tutor,63.9 +785,66.2,TRUE,Tutor,72 +786,84.4,FALSE,No tutor,66.8 +787,58.6,TRUE,Tutor,71.8 +788,68.9,TRUE,Tutor,67.1 +789,77.4,FALSE,No tutor,73.1 +790,79.2,FALSE,No tutor,62.9 +791,83.3,FALSE,No tutor,58.3 +792,74.3,FALSE,No tutor,75.2 +793,91.6,FALSE,No tutor,75.1 +794,64.3,TRUE,Tutor,72.7 +795,83.7,FALSE,No tutor,76.2 +796,88,FALSE,No tutor,65.3 +797,82.8,FALSE,No tutor,71.6 +798,96.1,FALSE,No tutor,60 +799,83.1,FALSE,No tutor,57.2 +800,75.9,FALSE,No tutor,56.2 +801,85.6,FALSE,No tutor,64.9 +802,83.9,FALSE,No tutor,63.9 +803,70.7,FALSE,No tutor,55.1 +804,73.8,FALSE,No tutor,59.5 +805,87.2,FALSE,No tutor,75.9 +806,66.7,TRUE,Tutor,69.9 +807,74.6,FALSE,No tutor,55.7 +808,64,TRUE,Tutor,75.6 +809,93.3,FALSE,No tutor,70.9 +810,80.8,FALSE,No tutor,65.1 +811,85.5,FALSE,No tutor,71.5 +812,90.9,FALSE,No tutor,60.4 +813,61.9,TRUE,Tutor,69.4 +814,68.9,TRUE,Tutor,71.2 +815,92.6,FALSE,No tutor,64 +816,93.8,FALSE,No tutor,77.8 +817,95.9,FALSE,No tutor,74.7 +818,76,FALSE,No tutor,63.5 +819,91.9,FALSE,No tutor,63.4 +820,83.5,FALSE,No tutor,53.2 +821,83.1,FALSE,No tutor,51.7 +822,71.9,FALSE,No tutor,62.7 +823,91.7,FALSE,No tutor,62.9 +824,79.3,FALSE,No tutor,70.8 +825,88,FALSE,No tutor,73 +826,74,FALSE,No tutor,69.6 +827,89.1,FALSE,No tutor,64.7 +828,77.3,FALSE,No tutor,57.5 +829,65.9,TRUE,Tutor,66.2 +830,90.5,FALSE,No tutor,75.7 +831,81.1,FALSE,No tutor,63.2 +832,71.5,FALSE,No tutor,68.9 +833,79.2,FALSE,No tutor,75.5 +834,97,FALSE,No tutor,77.2 +835,62.3,TRUE,Tutor,69.2 +836,77.5,FALSE,No tutor,70.4 +837,79.4,FALSE,No tutor,76.6 +838,69.9,TRUE,Tutor,73.1 +839,81.2,FALSE,No tutor,61.2 +840,90.5,FALSE,No tutor,63.6 +841,87,FALSE,No tutor,54.5 +842,76.8,FALSE,No tutor,63.1 +843,74.5,FALSE,No tutor,58.5 +844,90.4,FALSE,No tutor,71.4 +845,84.3,FALSE,No tutor,78.8 +846,88.9,FALSE,No tutor,49.1 +847,92.7,FALSE,No tutor,66.1 +848,87.2,FALSE,No tutor,58.9 +849,75.2,FALSE,No tutor,53.6 +850,72.7,FALSE,No tutor,54.1 +851,66.2,TRUE,Tutor,60.1 +852,73.9,FALSE,No tutor,52.8 +853,75.1,FALSE,No tutor,67.5 +854,57.2,TRUE,Tutor,65.6 +855,80.4,FALSE,No tutor,64.3 +856,73.2,FALSE,No tutor,67.7 +857,89.6,FALSE,No tutor,78.6 +858,96.3,FALSE,No tutor,72 +859,81.2,FALSE,No tutor,71.3 +860,67.1,TRUE,Tutor,67.8 +861,68.6,TRUE,Tutor,68 +862,62.2,TRUE,Tutor,66.5 +863,84.4,FALSE,No tutor,61.2 +864,92.4,FALSE,No tutor,77.5 +865,72.3,FALSE,No tutor,60.4 +866,94.8,FALSE,No tutor,65.7 +867,65.2,TRUE,Tutor,68.9 +868,63.6,TRUE,Tutor,72 +869,57.6,TRUE,Tutor,65.5 +870,81.3,FALSE,No tutor,52 +871,87.2,FALSE,No tutor,51.6 +872,69.4,TRUE,Tutor,56.5 +873,39.4,TRUE,Tutor,64.9 +874,92.4,FALSE,No tutor,82.5 +875,84.3,FALSE,No tutor,66.6 +876,75.2,FALSE,No tutor,64 +877,76.7,FALSE,No tutor,73 +878,84.4,FALSE,No tutor,52.5 +879,98.3,FALSE,No tutor,72 +880,82.1,FALSE,No tutor,64.7 +881,92.2,FALSE,No tutor,72 +882,77.2,FALSE,No tutor,67.3 +883,89,FALSE,No tutor,78.7 +884,79.7,FALSE,No tutor,66.4 +885,88,FALSE,No tutor,76.3 +886,83.9,FALSE,No tutor,65.4 +887,83.5,FALSE,No tutor,60.8 +888,46.6,TRUE,Tutor,60.5 +889,63.2,TRUE,Tutor,53.6 +890,81.4,FALSE,No tutor,51 +891,92.6,FALSE,No tutor,60.5 +892,54.7,TRUE,Tutor,72.3 +893,94.1,FALSE,No tutor,71.4 +894,92.2,FALSE,No tutor,69.8 +895,88.3,FALSE,No tutor,63.5 +896,90.3,FALSE,No tutor,79.7 +897,89.7,FALSE,No tutor,71.9 +898,47.8,TRUE,Tutor,56.1 +899,79.5,FALSE,No tutor,63.3 +900,87.7,FALSE,No tutor,57.2 +901,64.3,TRUE,Tutor,58.1 +902,74.3,FALSE,No tutor,53.1 +903,92.5,FALSE,No tutor,58.7 +904,85.9,FALSE,No tutor,67.8 +905,67.5,TRUE,Tutor,67.1 +906,60.2,TRUE,Tutor,72 +907,78,FALSE,No tutor,59.7 +908,95.9,FALSE,No tutor,71.4 +909,87.8,FALSE,No tutor,58.7 +910,81.2,FALSE,No tutor,54.8 +911,68.4,TRUE,Tutor,77.9 +912,76.8,FALSE,No tutor,60.7 +913,76.8,FALSE,No tutor,66.9 +914,70.6,FALSE,No tutor,61.6 +915,82.1,FALSE,No tutor,67.3 +916,84.2,FALSE,No tutor,74.8 +917,76.1,FALSE,No tutor,55 +918,88.7,FALSE,No tutor,65.4 +919,82.2,FALSE,No tutor,77.2 +920,85.5,FALSE,No tutor,70.5 +921,89.4,FALSE,No tutor,71.3 +922,57.7,TRUE,Tutor,68.7 +923,93,FALSE,No tutor,72.9 +924,84.7,FALSE,No tutor,58.5 +925,72.1,FALSE,No tutor,56.2 +926,79.5,FALSE,No tutor,70.4 +927,73.3,FALSE,No tutor,63.3 +928,93.3,FALSE,No tutor,72.4 +929,84.2,FALSE,No tutor,69.9 +930,95.8,FALSE,No tutor,73.9 +931,89,FALSE,No tutor,71.7 +932,51.9,TRUE,Tutor,58.6 +933,73.2,FALSE,No tutor,57.1 +934,76.3,FALSE,No tutor,67.4 +935,90,FALSE,No tutor,68.1 +936,85.8,FALSE,No tutor,65.6 +937,90.7,FALSE,No tutor,67.1 +938,76.9,FALSE,No tutor,62 +939,62.1,TRUE,Tutor,61.6 +940,72.3,FALSE,No tutor,66.3 +941,86.5,FALSE,No tutor,67.8 +942,67,TRUE,Tutor,74.9 +943,70.6,FALSE,No tutor,65.7 +944,60.1,TRUE,Tutor,77.7 +945,84.3,FALSE,No tutor,56.1 +946,92.2,FALSE,No tutor,75.1 +947,79.2,FALSE,No tutor,59.6 +948,72.3,FALSE,No tutor,63.2 +949,78.9,FALSE,No tutor,46.8 +950,69.8,TRUE,Tutor,68 +951,79.1,FALSE,No tutor,63.2 +952,81.4,FALSE,No tutor,64.7 +953,79.8,FALSE,No tutor,62.1 +954,78.1,FALSE,No tutor,65.9 +955,75.8,FALSE,No tutor,62.1 +956,85.9,FALSE,No tutor,62 +957,76.4,FALSE,No tutor,59.2 +958,87.5,FALSE,No tutor,79.2 +959,91.5,FALSE,No tutor,76.1 +960,61.1,TRUE,Tutor,57.5 +961,64.7,TRUE,Tutor,68.3 +962,85.9,FALSE,No tutor,67.4 +963,48.2,TRUE,Tutor,54.8 +964,80.8,FALSE,No tutor,71.8 +965,82.2,FALSE,No tutor,66.6 +966,90.2,FALSE,No tutor,75.1 +967,78.2,FALSE,No tutor,58.4 +968,80,FALSE,No tutor,62.3 +969,76.6,FALSE,No tutor,72.7 +970,69.4,TRUE,Tutor,72.1 +971,58.5,TRUE,Tutor,68.6 +972,71.8,FALSE,No tutor,65.7 +973,56.2,TRUE,Tutor,63.1 +974,54.2,TRUE,Tutor,73.3 +975,83.3,FALSE,No tutor,62.7 +976,66.7,TRUE,Tutor,80 +977,91.7,FALSE,No tutor,77.3 +978,90.2,FALSE,No tutor,67.1 +979,72.8,FALSE,No tutor,65 +980,84.3,FALSE,No tutor,67.3 +981,95.9,FALSE,No tutor,61.9 +982,58.5,TRUE,Tutor,52.7 +983,89,FALSE,No tutor,56.5 +984,70.6,FALSE,No tutor,64 +985,70.1,FALSE,No tutor,50.2 +986,40.7,TRUE,Tutor,55 +987,74.3,FALSE,No tutor,59.4 +988,64.5,TRUE,Tutor,61.5 +989,83.9,FALSE,No tutor,63.8 +990,95.5,FALSE,No tutor,69.6 +991,75.3,FALSE,No tutor,66 +992,93.9,FALSE,No tutor,71.1 +993,78.8,FALSE,No tutor,71.8 +994,76.1,FALSE,No tutor,58.9 +995,83.1,FALSE,No tutor,63.1 +996,43.7,TRUE,Tutor,65.3 +997,39.2,TRUE,Tutor,53.6 +998,90.3,FALSE,No tutor,76.7 +999,62.2,TRUE,Tutor,69.3 +1000,83.5,FALSE,No tutor,61.1 diff --git a/docs/_site/files/data/generated_data/tutoring_program_fuzzy.csv b/docs/_site/files/data/generated_data/tutoring_program_fuzzy.csv new file mode 100644 index 00000000..d9382f40 --- /dev/null +++ b/docs/_site/files/data/generated_data/tutoring_program_fuzzy.csv @@ -0,0 +1,1001 @@ +id,entrance_exam,tutoring,tutoring_text,exit_exam +1,92.4,FALSE,No tutor,78.1 +2,72.8,FALSE,No tutor,58.2 +3,53.7,TRUE,Tutor,62 +4,98.3,FALSE,No tutor,67.5 +5,69.7,TRUE,Tutor,54.1 +6,68.1,TRUE,Tutor,60.1 +7,86,FALSE,No tutor,73 +8,85.7,TRUE,Tutor,76.7 +9,85.9,FALSE,No tutor,57.8 +10,89.5,FALSE,No tutor,79.9 +11,84.8,FALSE,No tutor,70 +12,90.6,FALSE,No tutor,74.9 +13,88.3,TRUE,Tutor,81.5 +14,76.7,TRUE,Tutor,67.6 +15,57.1,TRUE,Tutor,62.4 +16,79.6,FALSE,No tutor,65.4 +17,85.2,FALSE,No tutor,69.1 +18,89.7,TRUE,Tutor,87.3 +19,89,FALSE,No tutor,67.5 +20,75.5,TRUE,Tutor,64 +21,85,TRUE,Tutor,68.4 +22,84.3,FALSE,No tutor,63.8 +23,69.1,FALSE,No tutor,67.5 +24,87.4,FALSE,No tutor,74.6 +25,94.2,FALSE,No tutor,77.3 +26,66.5,FALSE,No tutor,67.7 +27,90.8,FALSE,No tutor,70.1 +28,78,FALSE,No tutor,53.4 +29,90,FALSE,No tutor,83.2 +30,53.2,TRUE,Tutor,55.2 +31,84.8,FALSE,No tutor,68.9 +32,87.6,FALSE,No tutor,74.3 +33,85.1,FALSE,No tutor,61.1 +34,95.3,FALSE,No tutor,71.9 +35,92.1,FALSE,No tutor,77.5 +36,97.8,FALSE,No tutor,79 +37,93.4,FALSE,No tutor,82 +38,82.3,FALSE,No tutor,49.7 +39,84.7,FALSE,No tutor,68.5 +40,91.2,FALSE,No tutor,76 +41,89.2,FALSE,No tutor,72.8 +42,82.1,TRUE,Tutor,80.1 +43,90.5,FALSE,No tutor,79.5 +44,90.3,FALSE,No tutor,80.1 +45,91.6,FALSE,No tutor,61.8 +46,92.8,FALSE,No tutor,66.5 +47,85.4,FALSE,No tutor,64.5 +48,85.1,FALSE,No tutor,66.4 +49,96.3,FALSE,No tutor,80.3 +50,86.1,FALSE,No tutor,72.8 +51,91.6,FALSE,No tutor,77.8 +52,90.7,FALSE,No tutor,71.6 +53,80.4,TRUE,Tutor,74 +54,66.8,TRUE,Tutor,63.4 +55,36.9,TRUE,Tutor,49.1 +56,88.3,TRUE,Tutor,74.2 +57,92,FALSE,No tutor,60.1 +58,78.4,FALSE,No tutor,54.7 +59,87.2,TRUE,Tutor,82.9 +60,77.9,TRUE,Tutor,67.6 +61,91.8,FALSE,No tutor,67.2 +62,71.6,FALSE,No tutor,59.9 +63,77.7,FALSE,No tutor,70.2 +64,84.5,TRUE,Tutor,72.4 +65,83.3,FALSE,No tutor,66.1 +66,64.9,FALSE,No tutor,60.1 +67,80.2,FALSE,No tutor,57.2 +68,93.8,FALSE,No tutor,63.4 +69,82.7,FALSE,No tutor,58.9 +70,80.6,FALSE,No tutor,71.6 +71,80.5,FALSE,No tutor,57.3 +72,93.7,FALSE,No tutor,77.2 +73,80.6,FALSE,No tutor,62 +74,59.9,FALSE,No tutor,53.5 +75,63.7,TRUE,Tutor,72 +76,67.1,FALSE,No tutor,59 +77,83.8,FALSE,No tutor,64.1 +78,80.8,FALSE,No tutor,54.3 +79,92.3,FALSE,No tutor,72.5 +80,78.7,FALSE,No tutor,62 +81,73.2,TRUE,Tutor,80.5 +82,35.1,TRUE,Tutor,47.3 +83,55.9,FALSE,No tutor,51.3 +84,85,TRUE,Tutor,72.2 +85,91.8,FALSE,No tutor,74 +86,56.7,TRUE,Tutor,48.5 +87,70,TRUE,Tutor,71.1 +88,84.8,FALSE,No tutor,66.4 +89,76.7,TRUE,Tutor,74.2 +90,85.1,FALSE,No tutor,60.4 +91,74.9,FALSE,No tutor,68 +92,89.6,TRUE,Tutor,78.2 +93,74.8,TRUE,Tutor,67.6 +94,71.2,FALSE,No tutor,69 +95,78.6,TRUE,Tutor,72.5 +96,80.9,FALSE,No tutor,69.8 +97,86.9,FALSE,No tutor,55.9 +98,91.6,FALSE,No tutor,64.9 +99,59.9,TRUE,Tutor,75.7 +100,77.4,FALSE,No tutor,55.9 +101,60.4,TRUE,Tutor,63.5 +102,92.7,FALSE,No tutor,75.5 +103,74.8,FALSE,No tutor,65.1 +104,64.3,TRUE,Tutor,75.7 +105,78.2,FALSE,No tutor,61 +106,80.8,FALSE,No tutor,75.8 +107,88.4,FALSE,No tutor,70.3 +108,62.4,TRUE,Tutor,62.5 +109,76.4,TRUE,Tutor,72.5 +110,86.7,TRUE,Tutor,71.1 +111,94.6,FALSE,No tutor,71.9 +112,86.8,FALSE,No tutor,74.5 +113,73.8,FALSE,No tutor,48.4 +114,55.6,TRUE,Tutor,73.1 +115,73.2,FALSE,No tutor,69 +116,92.1,FALSE,No tutor,77.4 +117,64.4,FALSE,No tutor,67 +118,95.5,FALSE,No tutor,59.7 +119,83.3,FALSE,No tutor,57.8 +120,82.6,FALSE,No tutor,54.3 +121,97,FALSE,No tutor,78 +122,58.1,TRUE,Tutor,63.4 +123,86.6,FALSE,No tutor,59.2 +124,82.9,TRUE,Tutor,71.8 +125,65.1,TRUE,Tutor,66.3 +126,79.5,FALSE,No tutor,72.7 +127,67.9,FALSE,No tutor,56.5 +128,70.3,FALSE,No tutor,61.5 +129,72.8,FALSE,No tutor,66.2 +130,68.1,TRUE,Tutor,74.1 +131,71.4,FALSE,No tutor,58.8 +132,83.5,FALSE,No tutor,62.5 +133,76.1,FALSE,No tutor,54 +134,75.7,FALSE,No tutor,59.9 +135,81.5,FALSE,No tutor,62.1 +136,91.1,FALSE,No tutor,74.2 +137,89.3,FALSE,No tutor,68.8 +138,83.7,FALSE,No tutor,61.3 +139,89.1,FALSE,No tutor,82.1 +140,81.8,TRUE,Tutor,76.6 +141,84,FALSE,No tutor,66.7 +142,80.7,FALSE,No tutor,67.2 +143,70.2,FALSE,No tutor,59.7 +144,65.4,TRUE,Tutor,79.6 +145,35.9,TRUE,Tutor,50.1 +146,78.9,FALSE,No tutor,64.4 +147,82.7,TRUE,Tutor,80 +148,77,FALSE,No tutor,66.6 +149,82.9,FALSE,No tutor,65.5 +150,96.4,FALSE,No tutor,73.8 +151,44.1,TRUE,Tutor,61.5 +152,89,FALSE,No tutor,66.9 +153,91.7,FALSE,No tutor,65 +154,73.6,FALSE,No tutor,54.8 +155,78.3,FALSE,No tutor,56 +156,99.1,FALSE,No tutor,67.8 +157,79.4,FALSE,No tutor,67.3 +158,70,FALSE,No tutor,60.2 +159,58.3,FALSE,No tutor,43.3 +160,51.3,TRUE,Tutor,55.6 +161,85.2,TRUE,Tutor,74.8 +162,63.5,TRUE,Tutor,55.6 +163,80.9,TRUE,Tutor,80 +164,85.6,TRUE,Tutor,77.6 +165,99.3,FALSE,No tutor,76.6 +166,88.5,FALSE,No tutor,68.2 +167,68.5,TRUE,Tutor,70.4 +168,68.2,FALSE,No tutor,48.4 +169,65.5,TRUE,Tutor,66.7 +170,90.3,FALSE,No tutor,69.6 +171,74.9,FALSE,No tutor,67.4 +172,97.5,FALSE,No tutor,76.9 +173,68.5,TRUE,Tutor,79.3 +174,63.7,TRUE,Tutor,63.5 +175,74.5,FALSE,No tutor,55.1 +176,63.6,TRUE,Tutor,63.5 +177,72.1,FALSE,No tutor,58.4 +178,62.2,TRUE,Tutor,64.5 +179,52.9,TRUE,Tutor,60.9 +180,77.2,FALSE,No tutor,49.2 +181,91.6,FALSE,No tutor,68.1 +182,69.9,TRUE,Tutor,57.7 +183,83.8,FALSE,No tutor,63.2 +184,41.6,TRUE,Tutor,51.8 +185,95.2,FALSE,No tutor,76.6 +186,84,FALSE,No tutor,67.5 +187,69.9,TRUE,Tutor,73.6 +188,80.2,TRUE,Tutor,72 +189,86.4,FALSE,No tutor,64.9 +190,82.5,FALSE,No tutor,60.2 +191,65.3,TRUE,Tutor,74.1 +192,64.6,TRUE,Tutor,68.4 +193,72.6,TRUE,Tutor,57.5 +194,87,FALSE,No tutor,72.1 +195,64.2,TRUE,Tutor,69.8 +196,87.3,FALSE,No tutor,63.6 +197,74.5,FALSE,No tutor,66.7 +198,82.8,FALSE,No tutor,56.6 +199,82.1,TRUE,Tutor,72.6 +200,90,FALSE,No tutor,69.3 +201,75.8,FALSE,No tutor,73.1 +202,72,FALSE,No tutor,63.6 +203,91.3,FALSE,No tutor,53 +204,81.8,TRUE,Tutor,78.1 +205,77.3,FALSE,No tutor,58.2 +206,66.1,TRUE,Tutor,78.2 +207,76.8,FALSE,No tutor,57.5 +208,70,TRUE,Tutor,57.3 +209,91.5,FALSE,No tutor,80.7 +210,63.4,TRUE,Tutor,59.5 +211,63.2,FALSE,No tutor,53.9 +212,73.3,FALSE,No tutor,64.4 +213,45.7,TRUE,Tutor,64.9 +214,70.2,FALSE,No tutor,61 +215,73,FALSE,No tutor,69 +216,73,FALSE,No tutor,52 +217,69.5,TRUE,Tutor,70.6 +218,54.3,TRUE,Tutor,51.5 +219,69.2,TRUE,Tutor,69.8 +220,64.5,TRUE,Tutor,72.5 +221,91.8,FALSE,No tutor,79.8 +222,83.4,FALSE,No tutor,75.8 +223,92.5,FALSE,No tutor,72.4 +224,73.1,FALSE,No tutor,73.5 +225,70.2,FALSE,No tutor,70.1 +226,56.6,TRUE,Tutor,64.7 +227,83.1,FALSE,No tutor,52.1 +228,75,FALSE,No tutor,61.6 +229,96.1,FALSE,No tutor,73 +230,71.6,FALSE,No tutor,59.2 +231,87.1,TRUE,Tutor,72.9 +232,81.5,FALSE,No tutor,77.7 +233,70.6,FALSE,No tutor,59.9 +234,64.4,TRUE,Tutor,62.1 +235,82.5,FALSE,No tutor,67.6 +236,64.3,TRUE,Tutor,65.3 +237,86.9,TRUE,Tutor,70.9 +238,61,TRUE,Tutor,66.6 +239,77.9,FALSE,No tutor,60.2 +240,72,FALSE,No tutor,71.2 +241,68.8,TRUE,Tutor,70.8 +242,87.5,FALSE,No tutor,64.1 +243,60.8,TRUE,Tutor,64.1 +244,88.7,FALSE,No tutor,78.4 +245,71.9,FALSE,No tutor,61.5 +246,89.1,FALSE,No tutor,63.8 +247,81.6,FALSE,No tutor,70.9 +248,94.9,FALSE,No tutor,69.4 +249,75.6,FALSE,No tutor,58 +250,56.4,TRUE,Tutor,54.9 +251,74.6,FALSE,No tutor,57.4 +252,96.1,FALSE,No tutor,71.1 +253,86.6,FALSE,No tutor,78.4 +254,92.1,FALSE,No tutor,74.8 +255,83.3,TRUE,Tutor,73 +256,71.3,FALSE,No tutor,67 +257,72,FALSE,No tutor,58.4 +258,86.1,FALSE,No tutor,68.8 +259,90.2,FALSE,No tutor,59.1 +260,80.6,FALSE,No tutor,65.6 +261,55.7,TRUE,Tutor,65.8 +262,77.4,FALSE,No tutor,65.7 +263,86.9,FALSE,No tutor,74.7 +264,85.2,FALSE,No tutor,56.3 +265,84.4,FALSE,No tutor,65.9 +266,62.1,TRUE,Tutor,70.5 +267,42.3,TRUE,Tutor,52.9 +268,69.4,TRUE,Tutor,62.4 +269,84.1,TRUE,Tutor,80.2 +270,78.4,FALSE,No tutor,66.5 +271,85,FALSE,No tutor,68 +272,80.2,FALSE,No tutor,77 +273,85.9,TRUE,Tutor,76.7 +274,86.9,FALSE,No tutor,68.1 +275,75.3,FALSE,No tutor,64.6 +276,77.4,TRUE,Tutor,80.8 +277,85.2,FALSE,No tutor,71 +278,95.1,FALSE,No tutor,71.5 +279,77.3,FALSE,No tutor,68 +280,87.7,FALSE,No tutor,73.7 +281,53.7,TRUE,Tutor,60.6 +282,90.1,FALSE,No tutor,72.2 +283,52.5,TRUE,Tutor,64.9 +284,86.9,FALSE,No tutor,65.1 +285,72.5,FALSE,No tutor,59.4 +286,58.7,TRUE,Tutor,71.8 +287,85.3,FALSE,No tutor,76.8 +288,67,TRUE,Tutor,63.5 +289,79.2,FALSE,No tutor,70.6 +290,91.8,FALSE,No tutor,77.6 +291,82,FALSE,No tutor,55.3 +292,81.2,FALSE,No tutor,65 +293,88.8,FALSE,No tutor,73.4 +294,78.7,FALSE,No tutor,53 +295,71.7,FALSE,No tutor,52.4 +296,57.2,TRUE,Tutor,70.6 +297,52,TRUE,Tutor,65.4 +298,76,FALSE,No tutor,60.4 +299,51.4,TRUE,Tutor,69.7 +300,88.2,TRUE,Tutor,82 +301,98.3,FALSE,No tutor,74.3 +302,84.7,FALSE,No tutor,67.9 +303,85.3,FALSE,No tutor,65.9 +304,98.2,FALSE,No tutor,72.6 +305,66.8,TRUE,Tutor,60.8 +306,88.4,FALSE,No tutor,69.6 +307,81.3,FALSE,No tutor,71.6 +308,95.1,FALSE,No tutor,73.5 +309,89.4,FALSE,No tutor,71.3 +310,79.6,TRUE,Tutor,74.5 +311,57.7,FALSE,No tutor,40.9 +312,28.8,TRUE,Tutor,44.7 +313,77.9,TRUE,Tutor,64.3 +314,80.2,FALSE,No tutor,49.4 +315,85.2,TRUE,Tutor,86.6 +316,43.4,TRUE,Tutor,61.8 +317,93,FALSE,No tutor,75.6 +318,72.2,FALSE,No tutor,63.4 +319,78.5,TRUE,Tutor,77.1 +320,86.4,FALSE,No tutor,64.4 +321,94.6,FALSE,No tutor,80.8 +322,73.6,FALSE,No tutor,65.7 +323,78.4,FALSE,No tutor,68.3 +324,89,FALSE,No tutor,72.3 +325,75.5,TRUE,Tutor,77.2 +326,82.1,FALSE,No tutor,59.6 +327,87.3,FALSE,No tutor,66.7 +328,68.2,TRUE,Tutor,78.4 +329,82.9,FALSE,No tutor,58.5 +330,96.4,FALSE,No tutor,74.9 +331,99,FALSE,No tutor,68 +332,86.1,FALSE,No tutor,64.9 +333,60.2,FALSE,No tutor,50 +334,56.4,TRUE,Tutor,58.3 +335,72,FALSE,No tutor,64.2 +336,94.6,FALSE,No tutor,74.2 +337,74.1,TRUE,Tutor,78.6 +338,38.4,TRUE,Tutor,44.8 +339,99.8,FALSE,No tutor,77 +340,88.4,FALSE,No tutor,62.3 +341,53.1,TRUE,Tutor,63.1 +342,67.6,FALSE,No tutor,46.1 +343,61.5,FALSE,No tutor,48.6 +344,69.1,TRUE,Tutor,75.7 +345,67.3,TRUE,Tutor,69.1 +346,77.5,FALSE,No tutor,63.7 +347,89.8,FALSE,No tutor,67.7 +348,92.6,FALSE,No tutor,75.2 +349,77.2,FALSE,No tutor,68.1 +350,84.1,FALSE,No tutor,69 +351,89.6,TRUE,Tutor,70.1 +352,70,TRUE,Tutor,74.4 +353,75.1,TRUE,Tutor,72.1 +354,91.7,FALSE,No tutor,76.3 +355,85.3,FALSE,No tutor,72.1 +356,79,FALSE,No tutor,73.3 +357,93.9,FALSE,No tutor,65.5 +358,82.2,TRUE,Tutor,72.8 +359,87.6,FALSE,No tutor,74.7 +360,97.7,FALSE,No tutor,65.7 +361,82.2,FALSE,No tutor,79.6 +362,85.5,FALSE,No tutor,57.8 +363,86.4,FALSE,No tutor,57.5 +364,66.9,TRUE,Tutor,67.2 +365,75.3,FALSE,No tutor,66.5 +366,92.6,FALSE,No tutor,78.9 +367,70.8,FALSE,No tutor,66.6 +368,79.5,FALSE,No tutor,69.4 +369,74.9,FALSE,No tutor,67.2 +370,64.6,FALSE,No tutor,48.9 +371,75.8,TRUE,Tutor,78.3 +372,38.8,TRUE,Tutor,54.8 +373,75.8,TRUE,Tutor,72 +374,92.8,FALSE,No tutor,67.5 +375,92.5,FALSE,No tutor,77.8 +376,96.8,FALSE,No tutor,79 +377,88.7,FALSE,No tutor,72.5 +378,88,FALSE,No tutor,65.5 +379,86.4,FALSE,No tutor,68.9 +380,63,TRUE,Tutor,74.2 +381,92.9,FALSE,No tutor,72.1 +382,77.4,FALSE,No tutor,60.5 +383,68.5,TRUE,Tutor,72 +384,80,FALSE,No tutor,71.3 +385,74.8,FALSE,No tutor,69 +386,90.1,FALSE,No tutor,71.7 +387,93,FALSE,No tutor,68.7 +388,73,FALSE,No tutor,53.2 +389,83.9,FALSE,No tutor,75.8 +390,71.8,TRUE,Tutor,76.6 +391,71.1,TRUE,Tutor,82.6 +392,45.4,TRUE,Tutor,56.8 +393,83.9,FALSE,No tutor,61 +394,62.1,TRUE,Tutor,64 +395,86.9,FALSE,No tutor,57.8 +396,94.4,FALSE,No tutor,67.4 +397,92.4,FALSE,No tutor,75.5 +398,80.2,FALSE,No tutor,52.4 +399,76,FALSE,No tutor,59.4 +400,88.6,FALSE,No tutor,64.5 +401,73.7,FALSE,No tutor,68.3 +402,63.7,TRUE,Tutor,68.7 +403,93.1,FALSE,No tutor,79.8 +404,96.9,FALSE,No tutor,74 +405,92.9,FALSE,No tutor,59.5 +406,89.5,FALSE,No tutor,73.2 +407,82.3,FALSE,No tutor,65.6 +408,58.9,TRUE,Tutor,57.8 +409,72.9,FALSE,No tutor,71.6 +410,85.9,TRUE,Tutor,87 +411,78.4,TRUE,Tutor,80.7 +412,85.2,FALSE,No tutor,65.2 +413,54.4,TRUE,Tutor,61.6 +414,53.3,TRUE,Tutor,50.8 +415,92.1,FALSE,No tutor,79.4 +416,88,FALSE,No tutor,72.3 +417,95.7,FALSE,No tutor,63.5 +418,69.9,TRUE,Tutor,74.6 +419,73.6,FALSE,No tutor,63.7 +420,89,FALSE,No tutor,70.5 +421,64.3,TRUE,Tutor,66.8 +422,94.1,FALSE,No tutor,68.7 +423,91.6,FALSE,No tutor,64.9 +424,78.5,FALSE,No tutor,58.5 +425,68.1,TRUE,Tutor,62.8 +426,62.9,TRUE,Tutor,73 +427,56.4,TRUE,Tutor,63.4 +428,92.6,FALSE,No tutor,82.9 +429,63.4,TRUE,Tutor,65 +430,79.6,FALSE,No tutor,71.8 +431,81.6,FALSE,No tutor,76.4 +432,94.7,FALSE,No tutor,81.7 +433,68.4,TRUE,Tutor,64.7 +434,71.2,FALSE,No tutor,58.1 +435,78.1,FALSE,No tutor,58.3 +436,91.1,FALSE,No tutor,74.5 +437,89,FALSE,No tutor,68.1 +438,78,FALSE,No tutor,60.6 +439,54.9,TRUE,Tutor,63.1 +440,83.3,FALSE,No tutor,74.3 +441,89.3,TRUE,Tutor,69.9 +442,68.3,TRUE,Tutor,61.6 +443,69.7,TRUE,Tutor,71.3 +444,47.2,TRUE,Tutor,59.6 +445,42.4,TRUE,Tutor,58.5 +446,80.1,FALSE,No tutor,67 +447,77.8,TRUE,Tutor,74.3 +448,87.2,FALSE,No tutor,68.5 +449,89.1,FALSE,No tutor,67.7 +450,83.1,FALSE,No tutor,73.2 +451,73.7,FALSE,No tutor,72.8 +452,78.2,TRUE,Tutor,76.8 +453,74.2,FALSE,No tutor,56.3 +454,74.3,FALSE,No tutor,69 +455,63.3,TRUE,Tutor,66.5 +456,82,FALSE,No tutor,67.3 +457,37.2,TRUE,Tutor,64.1 +458,69.5,TRUE,Tutor,76 +459,92.3,FALSE,No tutor,62.9 +460,82.1,TRUE,Tutor,83.9 +461,67.9,TRUE,Tutor,74.4 +462,83.9,TRUE,Tutor,82.3 +463,71.4,FALSE,No tutor,50 +464,47.3,TRUE,Tutor,60.1 +465,86.9,FALSE,No tutor,63.9 +466,78.1,FALSE,No tutor,57.6 +467,85.9,FALSE,No tutor,70.8 +468,91.7,FALSE,No tutor,78.6 +469,96.5,FALSE,No tutor,71.9 +470,74.3,FALSE,No tutor,64.8 +471,65.9,FALSE,No tutor,45.3 +472,65.1,TRUE,Tutor,71.4 +473,93.8,FALSE,No tutor,74.2 +474,91.8,FALSE,No tutor,65.2 +475,91.9,FALSE,No tutor,75.8 +476,87.4,FALSE,No tutor,68.8 +477,74.8,TRUE,Tutor,68.3 +478,66.1,TRUE,Tutor,71.1 +479,57.2,TRUE,Tutor,71.8 +480,65.6,FALSE,No tutor,55.3 +481,87.5,FALSE,No tutor,70.9 +482,91.3,FALSE,No tutor,82.6 +483,82.4,TRUE,Tutor,74 +484,75.9,FALSE,No tutor,61.9 +485,63.1,TRUE,Tutor,70.4 +486,89.1,TRUE,Tutor,80.9 +487,72.5,FALSE,No tutor,65.3 +488,46.4,TRUE,Tutor,53.6 +489,89.6,FALSE,No tutor,79.9 +490,81.3,FALSE,No tutor,72.3 +491,96.1,FALSE,No tutor,76.4 +492,72.6,FALSE,No tutor,48.7 +493,86.8,TRUE,Tutor,79.6 +494,89.9,FALSE,No tutor,77.1 +495,88.4,FALSE,No tutor,55.7 +496,69.4,FALSE,No tutor,61.5 +497,97.8,FALSE,No tutor,69.3 +498,84.1,TRUE,Tutor,67.4 +499,90.7,FALSE,No tutor,67 +500,90.2,FALSE,No tutor,58.8 +501,68.7,TRUE,Tutor,75 +502,71.3,FALSE,No tutor,71.9 +503,79.5,TRUE,Tutor,81.6 +504,67.4,TRUE,Tutor,73 +505,86.4,FALSE,No tutor,66.3 +506,97.3,FALSE,No tutor,77.2 +507,81.4,FALSE,No tutor,60.9 +508,83.3,FALSE,No tutor,63.2 +509,75,FALSE,No tutor,56.8 +510,69.8,FALSE,No tutor,46.9 +511,57.9,TRUE,Tutor,73.3 +512,77,TRUE,Tutor,65.2 +513,85.2,TRUE,Tutor,79.6 +514,82.4,FALSE,No tutor,71.9 +515,60.6,TRUE,Tutor,76.3 +516,89.1,FALSE,No tutor,75.6 +517,90.2,FALSE,No tutor,72.4 +518,72.1,FALSE,No tutor,72.7 +519,65.7,TRUE,Tutor,70.6 +520,61.6,FALSE,No tutor,51.6 +521,77.6,TRUE,Tutor,82.5 +522,80.7,TRUE,Tutor,75.4 +523,53,TRUE,Tutor,70.4 +524,91.9,FALSE,No tutor,71.4 +525,55.7,FALSE,No tutor,45.2 +526,86.7,TRUE,Tutor,86.3 +527,75.5,FALSE,No tutor,54.7 +528,68.6,TRUE,Tutor,75.9 +529,75.5,FALSE,No tutor,67.7 +530,85.2,FALSE,No tutor,58.8 +531,74.7,FALSE,No tutor,68.2 +532,89,FALSE,No tutor,76.2 +533,87,FALSE,No tutor,54.6 +534,54.4,FALSE,No tutor,53.9 +535,71.4,FALSE,No tutor,44 +536,89.6,TRUE,Tutor,80.3 +537,77.7,FALSE,No tutor,69.7 +538,66,TRUE,Tutor,72.9 +539,89.4,FALSE,No tutor,57.4 +540,83.5,FALSE,No tutor,62.3 +541,56.1,TRUE,Tutor,57.7 +542,84.6,TRUE,Tutor,77.4 +543,95.5,FALSE,No tutor,71.3 +544,69.8,TRUE,Tutor,73.5 +545,94,FALSE,No tutor,62.2 +546,94.3,FALSE,No tutor,74.6 +547,76.6,FALSE,No tutor,58.4 +548,76.8,FALSE,No tutor,50.5 +549,78.3,TRUE,Tutor,74.5 +550,72.4,FALSE,No tutor,72.2 +551,87.2,TRUE,Tutor,83.1 +552,75.7,FALSE,No tutor,57.9 +553,85.3,FALSE,No tutor,57.2 +554,78.9,FALSE,No tutor,62.8 +555,91.9,FALSE,No tutor,63.8 +556,79.6,FALSE,No tutor,56.8 +557,76,FALSE,No tutor,54.2 +558,87.5,FALSE,No tutor,62.5 +559,77.1,TRUE,Tutor,75 +560,86.9,FALSE,No tutor,59.7 +561,86.9,FALSE,No tutor,72.2 +562,81,FALSE,No tutor,62.7 +563,68.4,TRUE,Tutor,73 +564,81,FALSE,No tutor,61.6 +565,74.4,FALSE,No tutor,58.1 +566,56.8,TRUE,Tutor,64.2 +567,82.2,FALSE,No tutor,65.9 +568,79.5,FALSE,No tutor,61.2 +569,68,TRUE,Tutor,76.8 +570,92.8,FALSE,No tutor,62.6 +571,67.2,TRUE,Tutor,66.4 +572,85.5,TRUE,Tutor,73.2 +573,91.8,FALSE,No tutor,72.2 +574,96.1,FALSE,No tutor,84.5 +575,87.7,FALSE,No tutor,62.6 +576,92.1,FALSE,No tutor,73 +577,92.2,FALSE,No tutor,66 +578,92.4,FALSE,No tutor,79.1 +579,67.2,FALSE,No tutor,46.8 +580,89.5,TRUE,Tutor,82.5 +581,86.5,FALSE,No tutor,68.7 +582,83.9,FALSE,No tutor,70.9 +583,74.4,FALSE,No tutor,65.9 +584,83.1,FALSE,No tutor,74.4 +585,60.5,TRUE,Tutor,64.3 +586,82.3,FALSE,No tutor,62.3 +587,97.8,FALSE,No tutor,75.3 +588,79.3,FALSE,No tutor,67.7 +589,96.5,FALSE,No tutor,69.9 +590,57.6,TRUE,Tutor,69 +591,88,FALSE,No tutor,73.3 +592,91.6,FALSE,No tutor,78.8 +593,86.2,FALSE,No tutor,63.2 +594,66.3,TRUE,Tutor,73 +595,73.2,FALSE,No tutor,52.9 +596,90.3,FALSE,No tutor,71.4 +597,77.9,FALSE,No tutor,63.9 +598,66.7,TRUE,Tutor,73.5 +599,41.3,TRUE,Tutor,53.4 +600,75.5,FALSE,No tutor,62.7 +601,87.5,FALSE,No tutor,80 +602,82.5,FALSE,No tutor,61.3 +603,61,TRUE,Tutor,78.4 +604,57.8,TRUE,Tutor,66.8 +605,69.2,TRUE,Tutor,80.1 +606,81.1,FALSE,No tutor,63.2 +607,92.6,FALSE,No tutor,57.5 +608,83.3,TRUE,Tutor,72.4 +609,85.7,FALSE,No tutor,56.7 +610,71.8,FALSE,No tutor,67.7 +611,64.1,TRUE,Tutor,61.8 +612,92.1,FALSE,No tutor,69.6 +613,84.4,FALSE,No tutor,66.3 +614,75.3,FALSE,No tutor,53.2 +615,83.4,TRUE,Tutor,79.7 +616,92.4,FALSE,No tutor,73.9 +617,99,FALSE,No tutor,78.6 +618,78.2,FALSE,No tutor,73.1 +619,78.3,FALSE,No tutor,63.6 +620,37,TRUE,Tutor,53.8 +621,97.1,FALSE,No tutor,67.5 +622,87.1,FALSE,No tutor,70.2 +623,59.2,TRUE,Tutor,71.1 +624,71.5,FALSE,No tutor,61.7 +625,75.7,TRUE,Tutor,69.2 +626,86.6,FALSE,No tutor,66.1 +627,74.2,TRUE,Tutor,63 +628,81.5,FALSE,No tutor,50 +629,75.8,TRUE,Tutor,57.9 +630,86.1,FALSE,No tutor,71.3 +631,46.3,TRUE,Tutor,58.8 +632,83.3,FALSE,No tutor,69.4 +633,82.5,FALSE,No tutor,67.8 +634,83.1,FALSE,No tutor,62.9 +635,82.4,FALSE,No tutor,69.8 +636,76.1,FALSE,No tutor,71 +637,70.7,FALSE,No tutor,62.2 +638,64.2,TRUE,Tutor,54.4 +639,81.9,FALSE,No tutor,49.7 +640,89.9,FALSE,No tutor,73 +641,94.1,FALSE,No tutor,65.1 +642,77.1,FALSE,No tutor,64.5 +643,76.9,FALSE,No tutor,64.4 +644,75.9,TRUE,Tutor,77.8 +645,79.4,TRUE,Tutor,84.8 +646,76,FALSE,No tutor,56.2 +647,76.2,FALSE,No tutor,74.2 +648,88.1,FALSE,No tutor,71.7 +649,70.4,FALSE,No tutor,46.6 +650,91.4,FALSE,No tutor,69.9 +651,94.3,FALSE,No tutor,70.6 +652,79.8,FALSE,No tutor,57.7 +653,91.5,FALSE,No tutor,62.3 +654,66.4,TRUE,Tutor,63 +655,80.1,FALSE,No tutor,61.7 +656,88.2,FALSE,No tutor,56.2 +657,79.6,FALSE,No tutor,49.8 +658,43.8,TRUE,Tutor,55.1 +659,79.6,FALSE,No tutor,66.4 +660,82.8,FALSE,No tutor,66.3 +661,70.9,FALSE,No tutor,57.6 +662,55.2,TRUE,Tutor,67.5 +663,90.9,FALSE,No tutor,65.1 +664,80.7,FALSE,No tutor,74 +665,53.8,TRUE,Tutor,42.8 +666,71.5,TRUE,Tutor,69.4 +667,80.8,TRUE,Tutor,75.9 +668,93.2,FALSE,No tutor,67.1 +669,82.1,FALSE,No tutor,69.1 +670,80.7,FALSE,No tutor,66.5 +671,79.1,FALSE,No tutor,64.4 +672,37.9,TRUE,Tutor,44.2 +673,84.6,FALSE,No tutor,61.5 +674,95,FALSE,No tutor,71.1 +675,68.3,TRUE,Tutor,70.5 +676,79.6,FALSE,No tutor,66.6 +677,81,FALSE,No tutor,74.5 +678,65.2,TRUE,Tutor,62.4 +679,99.4,FALSE,No tutor,71 +680,85.8,FALSE,No tutor,75.1 +681,80.2,FALSE,No tutor,66.5 +682,65.9,TRUE,Tutor,56.7 +683,81.9,FALSE,No tutor,54.9 +684,90.6,FALSE,No tutor,78.6 +685,70.9,TRUE,Tutor,63.7 +686,77.5,TRUE,Tutor,72.7 +687,75.9,FALSE,No tutor,59.8 +688,51.6,TRUE,Tutor,67 +689,85.6,FALSE,No tutor,69.4 +690,92.7,FALSE,No tutor,83.5 +691,93,FALSE,No tutor,76.8 +692,90.8,FALSE,No tutor,72.7 +693,93.8,FALSE,No tutor,60.5 +694,78.6,FALSE,No tutor,71.6 +695,79.4,FALSE,No tutor,62.3 +696,61.8,TRUE,Tutor,65.2 +697,91.5,FALSE,No tutor,79.8 +698,81.3,FALSE,No tutor,63.4 +699,66.7,TRUE,Tutor,54.5 +700,83.2,FALSE,No tutor,58.6 +701,61.6,FALSE,No tutor,46 +702,63.8,FALSE,No tutor,58.5 +703,86.7,FALSE,No tutor,60.2 +704,88.3,FALSE,No tutor,77.6 +705,80.8,FALSE,No tutor,66.7 +706,77.7,FALSE,No tutor,63 +707,78.7,TRUE,Tutor,70.1 +708,86,TRUE,Tutor,72 +709,89.9,FALSE,No tutor,73.4 +710,91.8,FALSE,No tutor,74.5 +711,58.3,TRUE,Tutor,66.8 +712,90.5,FALSE,No tutor,74.4 +713,44.2,TRUE,Tutor,58.1 +714,80,FALSE,No tutor,57.6 +715,85.6,FALSE,No tutor,64 +716,91.3,FALSE,No 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+1,Male,45,979,No program,1281,1,0 +2,Female,23,664,No program,1041,0,0 +3,Female,42,729,No program,1247,0,0 +4,Female,34,744,Program,1249,0,1 +5,Female,53,769,No program,1343,0,0 +6,Female,33,762,Program,1251,0,1 +7,Male,20,846,Program,1136,1,1 +8,Male,40,674,Program,1329,1,1 +9,Female,39,747,Program,1303,0,1 +10,Male,35,744,No program,1189,1,0 +11,Female,24,763,Program,1168,0,1 +12,Male,27,740,No program,1100,1,0 +13,Male,35,920,No program,1198,1,0 +14,Female,45,877,No program,1273,0,0 +15,Male,31,824,No program,1156,1,0 +16,Female,26,658,No program,1078,0,0 +17,Male,8,1093,Program,1026,1,1 +18,Male,40,894,Program,1346,1,1 +19,Male,39,923,No program,1230,1,0 +20,Male,48,611,No program,1315,1,0 +21,Male,50,778,Program,1432,1,1 +22,Male,34,877,No program,1183,1,0 +23,Male,48,839,Program,1422,1,1 +24,Male,35,861,Program,1290,1,1 +25,Male,28,859,Program,1227,1,1 +26,Female,27,756,No program,1081,0,0 +27,Male,32,775,No program,1153,1,0 +28,Female,37,707,No program,1196,0,0 +29,Female,35,909,No program,1159,0,0 +30,Male,37,606,No program,1211,1,0 +31,Male,37,772,Program,1301,1,1 +32,Male,42,881,Program,1357,1,1 +33,Male,32,779,No program,1163,1,0 +34,Male,51,945,No program,1352,1,0 +35,Male,39,884,No program,1236,1,0 +36,Female,23,713,Program,1144,0,1 +37,Male,32,794,No program,1159,1,0 +38,Male,40,801,No program,1240,1,0 +39,Female,31,827,No program,1129,0,0 +40,Female,38,747,No program,1199,0,0 +41,Male,39,738,No program,1244,1,0 +42,Female,48,774,No program,1294,0,0 +43,Male,28,891,No program,1120,1,0 +44,Female,35,912,No program,1167,0,0 +45,Male,29,740,No program,1126,1,0 +46,Male,24,806,No program,1074,1,0 +47,Female,17,700,Program,1085,0,1 +48,Male,37,724,Program,1311,1,1 +49,Male,41,739,Program,1352,1,1 +50,Female,41,668,No program,1228,0,0 +51,Male,21,599,Program,1151,1,1 +52,Male,24,877,Program,1176,1,1 +53,Female,24,841,No program,1051,0,0 +54,Male,28,717,No program,1113,1,0 +55,Male,37,896,No program,1209,1,0 +56,Male,41,981,No program,1243,1,0 +57,Male,27,545,No program,1119,1,0 +58,Female,6,915,Program,979,0,1 +59,Male,45,923,No program,1290,1,0 +60,Female,41,815,No program,1237,0,0 +61,Female,28,748,No program,1104,0,0 +62,Male,24,690,No program,1087,1,0 +63,Male,32,712,Program,1265,1,1 +64,Male,36,736,Program,1304,1,1 +65,Male,42,589,No program,1261,1,0 +66,Female,49,735,No program,1310,0,0 +67,Male,27,899,Program,1207,1,1 +68,Male,38,725,No program,1214,1,0 +69,Male,48,957,Program,1425,1,1 +70,Male,26,795,Program,1192,1,1 +71,Male,33,811,Program,1265,1,1 +72,Female,17,848,No program,986,0,0 +73,Male,38,706,Program,1313,1,1 +74,Female,29,723,No program,1101,0,0 +75,Male,26,758,No program,1107,1,0 +76,Male,27,977,Program,1206,1,1 +77,Male,39,843,No program,1232,1,0 +78,Male,13,791,Program,1071,1,1 +79,Male,31,688,No program,1146,1,0 +80,Female,25,791,Program,1159,0,1 +81,Female,25,839,Program,1170,0,1 +82,Male,40,764,No program,1231,1,0 +83,Male,39,711,Program,1329,1,1 +84,Male,34,705,Program,1279,1,1 +85,Male,40,778,No program,1249,1,0 +86,Female,29,834,Program,1212,0,1 +87,Male,15,897,No program,995,1,0 +88,Male,47,666,Program,1401,1,1 +89,Male,33,720,Program,1260,1,1 +90,Female,31,595,Program,1229,0,1 +91,Male,37,811,Program,1306,1,1 +92,Female,43,872,Program,1341,0,1 +93,Male,39,825,No program,1234,1,0 +94,Male,44,923,No program,1279,1,0 +95,Male,35,858,No program,1196,1,0 +96,Male,30,741,No program,1136,1,0 +97,Male,32,945,No program,1165,1,0 +98,Male,43,844,Program,1367,1,1 +99,Male,27,858,Program,1204,1,1 +100,Female,25,708,No program,1070,0,0 +101,Male,38,775,Program,1322,1,1 +102,Male,41,678,Program,1354,1,1 +103,Male,18,793,Program,1123,1,1 +104,Male,43,936,Program,1365,1,1 +105,Male,35,754,Program,1295,1,1 +106,Male,33,807,No program,1173,1,0 +107,Male,46,878,Program,1400,1,1 +108,Male,50,641,Program,1432,1,1 +109,Male,24,663,No program,1077,1,0 +110,Male,45,707,No program,1282,1,0 +111,Female,29,830,No program,1096,0,0 +112,Male,36,808,No program,1200,1,0 +113,Female,40,925,No program,1211,0,0 +114,Male,36,677,Program,1303,1,1 +115,Male,20,756,Program,1151,1,1 +116,Female,30,590,No program,1115,0,0 +117,Female,50,962,Program,1422,0,1 +118,Male,37,908,No program,1211,1,0 +119,Male,27,736,Program,1197,1,1 +120,Female,28,775,Program,1196,0,1 +121,Female,46,787,Program,1384,0,1 +122,Female,38,980,No program,1202,0,0 +123,Female,26,804,Program,1178,0,1 +124,Female,35,841,Program,1276,0,1 +125,Male,41,870,Program,1353,1,1 +126,Male,52,869,No program,1352,1,0 +127,Male,26,633,Program,1206,1,1 +128,Male,31,874,No program,1149,1,0 +129,Male,45,708,No program,1284,1,0 +130,Male,30,797,No program,1135,1,0 +131,Female,50,607,Program,1404,0,1 +132,Female,45,821,No program,1274,0,0 +133,Male,18,699,Program,1127,1,1 +134,Male,39,582,Program,1322,1,1 +135,Female,21,633,Program,1118,0,1 +136,Male,20,658,No program,1046,1,0 +137,Female,36,855,No program,1178,0,0 +138,Male,36,831,No program,1197,1,0 +139,Female,35,869,Program,1262,0,1 +140,Female,48,747,No program,1293,0,0 +141,Male,38,818,Program,1312,1,1 +142,Female,28,841,No program,1104,0,0 +143,Male,36,791,No program,1199,1,0 +144,Male,30,689,No program,1133,1,0 +145,Male,34,913,No program,1186,1,0 +146,Female,24,967,Program,1152,0,1 +147,Female,34,1002,Program,1263,0,1 +148,Male,36,889,Program,1298,1,1 +149,Female,28,781,No program,1100,0,0 +150,Male,35,787,Program,1294,1,1 +151,Male,29,769,No program,1128,1,0 +152,Male,29,774,Program,1222,1,1 +153,Male,33,795,Program,1274,1,1 +154,Female,40,603,No program,1220,0,0 +155,Male,33,801,No program,1178,1,0 +156,Female,37,824,No program,1182,0,0 +157,Female,45,705,No program,1263,0,0 +158,Female,32,624,Program,1242,0,1 +159,Male,34,764,Program,1277,1,1 +160,Male,40,488,Program,1344,1,1 +161,Male,22,967,No program,1062,1,0 +162,Male,40,869,No program,1242,1,0 +163,Male,30,702,Program,1234,1,1 +164,Male,24,802,No program,1075,1,0 +165,Male,17,783,Program,1113,1,1 +166,Female,28,634,Program,1190,0,1 +167,Male,23,712,Program,1169,1,1 +168,Male,23,897,No program,1077,1,0 +169,Female,51,684,No program,1339,0,0 +170,Male,23,725,No program,1069,1,0 +171,Female,45,725,Program,1361,0,1 +172,Male,40,923,Program,1351,1,1 +173,Female,26,781,Program,1186,0,1 +174,Male,29,855,Program,1228,1,1 +175,Male,31,877,Program,1250,1,1 +176,Female,37,762,No program,1193,0,0 +177,Male,32,687,Program,1258,1,1 +178,Male,43,817,Program,1378,1,1 +179,Male,32,764,No program,1153,1,0 +180,Male,13,944,No program,967,1,0 +181,Male,34,748,Program,1277,1,1 +182,Male,16,769,No program,999,1,0 +183,Female,44,868,No program,1268,0,0 +184,Male,28,734,No program,1117,1,0 +185,Female,24,798,Program,1157,0,1 +186,Male,29,850,No program,1126,1,0 +187,Female,41,760,Program,1319,0,1 +188,Female,16,679,No program,973,0,0 +189,Male,38,831,No program,1207,1,0 +190,Female,25,772,Program,1168,0,1 +191,Female,35,598,No program,1166,0,0 +192,Female,42,827,No program,1237,0,0 +193,Male,41,813,No program,1249,1,0 +194,Female,50,632,Program,1425,0,1 +195,Female,36,747,No program,1183,0,0 +196,Female,28,782,No program,1088,0,0 +197,Female,57,744,Program,1480,0,1 +198,Female,32,855,Program,1243,0,1 +199,Female,43,642,Program,1348,0,1 +200,Female,44,705,No program,1259,0,0 +201,Female,40,755,Program,1319,0,1 +202,Male,49,944,Program,1432,1,1 +203,Male,33,784,No program,1173,1,0 +204,Female,23,698,No program,1044,0,0 +205,Male,31,954,No program,1157,1,0 +206,Female,30,777,No program,1112,0,0 +207,Male,38,855,No program,1225,1,0 +208,Male,26,912,Program,1198,1,1 +209,Male,42,841,No program,1257,1,0 +210,Female,23,930,No program,1060,0,0 +211,Male,53,721,No program,1364,1,0 +212,Male,49,960,Program,1437,1,1 +213,Male,31,618,No program,1148,1,0 +214,Female,36,702,No program,1185,0,0 +215,Male,31,741,Program,1250,1,1 +216,Female,23,823,No program,1041,0,0 +217,Female,8,753,Program,1008,0,1 +218,Female,35,858,Program,1256,0,1 +219,Male,35,842,Program,1289,1,1 +220,Female,51,868,Program,1427,0,1 +221,Male,15,948,No program,990,1,0 +222,Male,28,657,Program,1222,1,1 +223,Male,44,897,Program,1369,1,1 +224,Male,38,773,No program,1220,1,0 +225,Male,36,720,Program,1294,1,1 +226,Male,29,622,Program,1221,1,1 +227,Female,37,715,No program,1188,0,0 +228,Male,33,770,No program,1163,1,0 +229,Male,36,606,Program,1303,1,1 +230,Male,29,764,Program,1226,1,1 +231,Female,47,851,Program,1384,0,1 +232,Male,46,670,Program,1395,1,1 +233,Male,48,800,No program,1313,1,0 +234,Female,31,666,No program,1131,0,0 +235,Male,32,795,Program,1257,1,1 +236,Male,31,889,Program,1250,1,1 +237,Female,49,582,No program,1303,0,0 +238,Male,32,1031,No program,1152,1,0 +239,Male,36,683,Program,1294,1,1 +240,Female,39,894,Program,1306,0,1 +241,Male,42,1008,Program,1356,1,1 +242,Male,32,706,Program,1258,1,1 +243,Male,58,732,Program,1513,1,1 +244,Female,26,902,Program,1177,0,1 +245,Female,21,718,Program,1120,0,1 +246,Male,35,704,No program,1192,1,0 +247,Female,53,958,Program,1447,0,1 +248,Male,36,977,No program,1197,1,0 +249,Female,36,777,Program,1279,0,1 +250,Female,44,1028,Program,1354,0,1 +251,Male,34,990,No program,1175,1,0 +252,Male,36,793,No program,1205,1,0 +253,Male,47,719,No program,1310,1,0 +254,Male,36,733,Program,1292,1,1 +255,Male,27,940,No program,1105,1,0 +256,Male,39,854,No program,1231,1,0 +257,Male,24,864,No program,1082,1,0 +258,Male,20,799,Program,1149,1,1 +259,Male,34,818,Program,1282,1,1 +260,Male,24,751,No program,1090,1,0 +261,Female,41,914,No program,1221,0,0 +262,Male,34,767,No program,1168,1,0 +263,Male,27,999,Program,1206,1,1 +264,Male,51,859,No program,1349,1,0 +265,Male,34,899,No program,1182,1,0 +266,Male,49,948,Program,1434,1,1 +267,Female,34,795,No program,1163,0,0 +268,Male,32,623,No program,1148,1,0 +269,Male,39,739,Program,1326,1,1 +270,Female,45,859,No program,1275,0,0 +271,Male,62,920,Program,1561,1,1 +272,Female,25,821,Program,1172,0,1 +273,Male,33,884,Program,1267,1,1 +274,Female,46,894,Program,1380,0,1 +275,Male,38,903,Program,1324,1,1 +276,Male,33,875,No program,1173,1,0 +277,Female,22,781,No program,1031,0,0 +278,Male,32,902,Program,1266,1,1 +279,Male,33,750,No program,1174,1,0 +280,Male,34,835,No program,1182,1,0 +281,Male,51,749,Program,1448,1,1 +282,Male,30,848,No program,1151,1,0 +283,Female,19,850,Program,1111,0,1 +284,Female,40,789,Program,1321,0,1 +285,Female,34,803,Program,1255,0,1 +286,Male,33,843,No program,1168,1,0 +287,Male,41,687,Program,1339,1,1 +288,Male,6,902,Program,994,1,1 +289,Female,29,827,No program,1120,0,0 +290,Female,33,855,Program,1252,0,1 +291,Female,41,783,No program,1223,0,0 +292,Male,32,612,Program,1254,1,1 +293,Female,25,875,No program,1071,0,0 +294,Male,39,774,No program,1221,1,0 +295,Female,35,862,Program,1284,0,1 +296,Female,36,1005,Program,1287,0,1 +297,Female,47,684,No program,1290,0,0 +298,Male,30,935,Program,1236,1,1 +299,Female,23,763,No program,1038,0,0 +300,Male,22,794,Program,1162,1,1 +301,Male,25,747,Program,1190,1,1 +302,Female,21,750,No program,1030,0,0 +303,Male,35,685,No program,1179,1,0 +304,Male,53,813,No program,1378,1,0 +305,Female,34,847,No program,1161,0,0 +306,Male,43,781,No program,1265,1,0 +307,Male,24,638,Program,1178,1,1 +308,Female,33,760,No program,1150,0,0 +309,Male,41,841,Program,1351,1,1 +310,Female,31,728,No program,1124,0,0 +311,Female,43,741,No program,1240,0,0 +312,Female,42,683,No program,1240,0,0 +313,Male,29,859,Program,1229,1,1 +314,Male,27,733,No program,1107,1,0 +315,Male,59,1117,No program,1428,1,0 +316,Male,33,901,Program,1262,1,1 +317,Male,35,783,Program,1287,1,1 +318,Male,34,800,Program,1289,1,1 +319,Male,29,728,Program,1232,1,1 +320,Female,26,828,Program,1180,0,1 +321,Male,24,801,Program,1170,1,1 +322,Female,44,627,No program,1260,0,0 +323,Male,25,616,Program,1182,1,1 +324,Male,42,860,Program,1356,1,1 +325,Male,49,568,Program,1423,1,1 +326,Male,47,762,No program,1296,1,0 +327,Male,34,966,No program,1172,1,0 +328,Male,30,634,Program,1244,1,1 +329,Female,24,829,Program,1159,0,1 +330,Female,35,957,No program,1165,0,0 +331,Female,33,851,Program,1243,0,1 +332,Female,37,929,No program,1182,0,0 +333,Female,29,703,No program,1104,0,0 +334,Male,41,863,Program,1352,1,1 +335,Male,42,818,Program,1360,1,1 +336,Male,46,935,No program,1301,1,0 +337,Male,57,1049,No program,1419,1,0 +338,Male,37,811,Program,1311,1,1 +339,Female,29,910,No program,1111,0,0 +340,Male,34,760,Program,1282,1,1 +341,Female,19,764,Program,1112,0,1 +342,Male,36,745,No program,1201,1,0 +343,Male,31,665,No program,1146,1,0 +344,Female,39,807,Program,1301,0,1 +345,Male,32,796,Program,1257,1,1 +346,Male,21,872,Program,1153,1,1 +347,Male,35,779,No program,1185,1,0 +348,Female,21,708,Program,1133,0,1 +349,Female,44,787,No program,1257,0,0 +350,Male,17,984,Program,1111,1,1 +351,Male,34,845,No program,1177,1,0 +352,Female,40,827,No program,1212,0,0 +353,Male,20,906,No program,1042,1,0 +354,Female,49,979,No program,1311,0,0 +355,Female,26,971,Program,1182,0,1 +356,Female,30,757,Program,1224,0,1 +357,Male,37,792,No program,1207,1,0 +358,Female,32,764,Program,1241,0,1 +359,Male,25,780,Program,1185,1,1 +360,Female,39,845,Program,1313,0,1 +361,Male,30,752,Program,1241,1,1 +362,Male,40,683,No program,1236,1,0 +363,Male,30,776,Program,1237,1,1 +364,Male,25,945,Program,1187,1,1 +365,Female,34,985,Program,1260,0,1 +366,Female,41,760,Program,1330,0,1 +367,Female,37,883,No program,1192,0,0 +368,Male,34,787,Program,1280,1,1 +369,Female,16,788,Program,1072,0,1 +370,Female,50,733,Program,1411,0,1 +371,Female,35,642,No program,1161,0,0 +372,Male,26,980,Program,1201,1,1 +373,Female,33,880,Program,1256,0,1 +374,Male,38,621,Program,1309,1,1 +375,Male,20,765,No program,1041,1,0 +376,Male,42,955,No program,1258,1,0 +377,Female,37,811,No program,1195,0,0 +378,Male,47,819,Program,1405,1,1 +379,Male,45,885,Program,1383,1,1 +380,Female,30,899,No program,1118,0,0 +381,Male,30,863,Program,1239,1,1 +382,Male,25,842,No program,1082,1,0 +383,Male,31,947,Program,1257,1,1 +384,Male,44,971,No program,1281,1,0 +385,Male,53,823,Program,1469,1,1 +386,Male,44,779,No program,1284,1,0 +387,Female,17,801,No program,980,0,0 +388,Male,43,835,Program,1368,1,1 +389,Female,45,732,No program,1280,0,0 +390,Female,41,864,Program,1334,0,1 +391,Female,26,671,No program,1076,0,0 +392,Female,46,1023,No program,1275,0,0 +393,Female,42,552,No program,1235,0,0 +394,Female,42,817,No program,1241,0,0 +395,Male,31,794,Program,1251,1,1 +396,Female,43,855,Program,1352,0,1 +397,Male,36,759,No program,1205,1,0 +398,Male,34,1040,No program,1189,1,0 +399,Male,50,786,Program,1426,1,1 +400,Male,43,802,No program,1268,1,0 +401,Female,6,912,No program,880,0,0 +402,Male,31,870,No program,1150,1,0 +403,Female,20,818,No program,1016,0,0 +404,Female,41,783,Program,1331,0,1 +405,Male,31,777,Program,1240,1,1 +406,Male,44,665,No program,1280,1,0 +407,Female,40,863,No program,1210,0,0 +408,Male,35,845,No program,1192,1,0 +409,Female,34,696,No program,1170,0,0 +410,Male,31,781,No program,1159,1,0 +411,Female,37,929,Program,1294,0,1 +412,Female,24,927,No program,1054,0,0 +413,Female,42,678,No program,1242,0,0 +414,Male,31,880,No program,1154,1,0 +415,Female,28,813,Program,1192,0,1 +416,Male,32,839,No program,1155,1,0 +417,Male,54,713,Program,1473,1,1 +418,Female,17,779,Program,1097,0,1 +419,Male,32,594,No program,1149,1,0 +420,Male,36,726,No program,1198,1,0 +421,Female,30,769,No program,1109,0,0 +422,Female,31,930,Program,1232,0,1 +423,Male,39,694,No program,1219,1,0 +424,Male,37,830,Program,1305,1,1 +425,Female,28,809,Program,1194,0,1 +426,Male,41,664,Program,1342,1,1 +427,Male,37,828,No program,1209,1,0 +428,Male,42,958,No program,1252,1,0 +429,Male,22,894,Program,1164,1,1 +430,Male,27,913,Program,1214,1,1 +431,Female,33,779,No program,1147,0,0 +432,Female,45,896,Program,1366,0,1 +433,Male,30,563,Program,1237,1,1 +434,Female,25,675,Program,1166,0,1 +435,Male,43,783,Program,1367,1,1 +436,Female,40,811,No program,1216,0,0 +437,Male,23,852,Program,1169,1,1 +438,Female,55,872,No program,1373,0,0 +439,Female,50,754,Program,1417,0,1 +440,Male,21,752,Program,1142,1,1 +441,Female,57,765,Program,1490,0,1 +442,Female,18,744,No program,993,0,0 +443,Female,36,788,Program,1283,0,1 +444,Male,24,888,Program,1172,1,1 +445,Female,31,846,Program,1238,0,1 +446,Male,32,756,No program,1149,1,0 +447,Female,38,731,Program,1298,0,1 +448,Female,24,790,No program,1056,0,0 +449,Female,7,779,Program,993,0,1 +450,Male,34,922,Program,1283,1,1 +451,Male,28,573,No program,1121,1,0 +452,Female,37,703,No program,1194,0,0 +453,Female,27,862,Program,1184,0,1 +454,Female,43,866,No program,1248,0,0 +455,Female,35,735,No program,1162,0,0 +456,Female,41,779,No program,1232,0,0 +457,Male,25,980,Program,1194,1,1 +458,Female,33,690,No program,1155,0,0 +459,Male,38,978,No program,1221,1,0 +460,Male,34,832,Program,1274,1,1 +461,Male,52,905,No program,1355,1,0 +462,Female,15,747,No program,968,0,0 +463,Male,43,688,No program,1258,1,0 +464,Male,35,840,Program,1287,1,1 +465,Male,44,842,No program,1283,1,0 +466,Male,34,757,Program,1281,1,1 +467,Male,8,712,No program,917,1,0 +468,Male,39,930,No program,1236,1,0 +469,Female,33,666,No program,1146,0,0 +470,Male,25,943,Program,1185,1,1 +471,Male,28,741,No program,1125,1,0 +472,Male,36,612,No program,1195,1,0 +473,Male,60,1018,No program,1433,1,0 +474,Female,37,838,Program,1287,0,1 +475,Male,25,693,Program,1190,1,1 +476,Female,54,762,Program,1461,0,1 +477,Male,31,721,No program,1138,1,0 +478,Male,27,832,No program,1107,1,0 +479,Female,23,813,No program,1051,0,0 +480,Male,28,676,No program,1113,1,0 +481,Male,54,826,No program,1380,1,0 +482,Male,44,733,Program,1384,1,1 +483,Female,42,863,No program,1256,0,0 +484,Male,36,860,Program,1302,1,1 +485,Male,38,797,No program,1221,1,0 +486,Male,41,721,Program,1340,1,1 +487,Female,37,753,No program,1186,0,0 +488,Female,37,699,No program,1184,0,0 +489,Female,45,883,Program,1356,0,1 +490,Male,33,935,No program,1176,1,0 +491,Male,38,805,Program,1322,1,1 +492,Female,26,834,No program,1071,0,0 +493,Female,51,779,No program,1335,0,0 +494,Male,49,822,No program,1323,1,0 +495,Female,17,987,Program,1083,0,1 +496,Male,33,826,Program,1262,1,1 +497,Female,40,933,No program,1225,0,0 +498,Male,40,825,Program,1335,1,1 +499,Female,43,662,Program,1344,0,1 +500,Male,31,681,No program,1142,1,0 +501,Female,23,703,Program,1144,0,1 +502,Female,38,790,Program,1301,0,1 +503,Female,20,789,Program,1110,0,1 +504,Male,41,919,Program,1352,1,1 +505,Female,42,634,Program,1336,0,1 +506,Female,16,695,No program,982,0,0 +507,Female,44,626,No program,1269,0,0 +508,Female,33,851,No program,1144,0,0 +509,Male,28,755,Program,1225,1,1 +510,Female,39,616,No program,1222,0,0 +511,Male,48,718,No program,1319,1,0 +512,Female,51,700,Program,1428,0,1 +513,Female,23,830,Program,1153,0,1 +514,Male,31,856,No program,1144,1,0 +515,Male,36,673,Program,1298,1,1 +516,Female,36,903,No program,1180,0,0 +517,Female,31,847,No program,1124,0,0 +518,Male,12,823,Program,1055,1,1 +519,Female,32,826,No program,1137,0,0 +520,Male,23,843,No program,1060,1,0 +521,Female,35,897,No program,1176,0,0 +522,Male,27,747,No program,1106,1,0 +523,Male,34,805,No program,1176,1,0 +524,Female,28,1079,No program,1089,0,0 +525,Male,31,691,Program,1248,1,1 +526,Female,31,830,No program,1128,0,0 +527,Male,48,656,Program,1418,1,1 +528,Male,42,821,Program,1365,1,1 +529,Female,33,897,No program,1151,0,0 +530,Male,23,565,No program,1067,1,0 +531,Male,45,742,No program,1292,1,0 +532,Female,21,1025,No program,1027,0,0 +533,Male,23,723,No program,1069,1,0 +534,Female,27,658,Program,1186,0,1 +535,Male,25,846,No program,1090,1,0 +536,Female,26,728,Program,1179,0,1 +537,Female,48,948,No program,1299,0,0 +538,Female,34,908,Program,1260,0,1 +539,Female,28,880,No program,1110,0,0 +540,Male,42,657,Program,1345,1,1 +541,Male,37,836,No program,1201,1,0 +542,Female,23,838,No program,1050,0,0 +543,Female,29,592,No program,1112,0,0 +544,Male,40,863,Program,1344,1,1 +545,Female,55,830,Program,1460,0,1 +546,Male,51,694,Program,1438,1,1 +547,Female,43,779,No program,1253,0,0 +548,Female,35,1005,Program,1271,0,1 +549,Female,18,878,No program,988,0,0 +550,Female,28,672,Program,1201,0,1 +551,Male,33,809,No program,1174,1,0 +552,Male,40,975,Program,1338,1,1 +553,Female,36,803,Program,1280,0,1 +554,Male,36,749,No program,1194,1,0 +555,Female,53,916,No program,1354,0,0 +556,Female,39,753,No program,1211,0,0 +557,Male,32,777,No program,1160,1,0 +558,Male,31,886,Program,1251,1,1 +559,Female,36,978,Program,1277,0,1 +560,Female,27,717,No program,1081,0,0 +561,Male,49,777,No program,1326,1,0 +562,Female,32,793,Program,1250,0,1 +563,Female,30,889,Program,1219,0,1 +564,Female,26,954,Program,1183,0,1 +565,Male,44,969,No program,1272,1,0 +566,Female,22,777,No program,1038,0,0 +567,Female,30,893,Program,1227,0,1 +568,Female,38,713,Program,1298,0,1 +569,Male,34,746,No program,1177,1,0 +570,Male,38,680,Program,1313,1,1 +571,Female,22,690,Program,1134,0,1 +572,Female,31,859,Program,1216,0,1 +573,Male,18,873,No program,1024,1,0 +574,Female,27,822,Program,1181,0,1 +575,Male,46,724,Program,1396,1,1 +576,Male,38,830,No program,1211,1,0 +577,Male,36,680,Program,1297,1,1 +578,Male,26,624,Program,1194,1,1 +579,Male,29,750,No program,1133,1,0 +580,Female,25,759,No program,1071,0,0 +581,Female,36,705,No program,1170,0,0 +582,Male,43,600,Program,1364,1,1 +583,Male,38,758,Program,1312,1,1 +584,Male,29,853,Program,1229,1,1 +585,Male,41,879,Program,1351,1,1 +586,Male,39,960,Program,1334,1,1 +587,Male,43,804,No program,1278,1,0 +588,Female,31,1028,Program,1230,0,1 +589,Female,23,845,Program,1156,0,1 +590,Female,34,784,No program,1167,0,0 +591,Female,38,607,Program,1293,0,1 +592,Female,51,1043,No program,1341,0,0 +593,Male,34,941,Program,1284,1,1 +594,Male,39,863,Program,1345,1,1 +595,Male,34,912,Program,1292,1,1 +596,Female,57,904,No program,1390,0,0 +597,Female,48,886,No program,1300,0,0 +598,Female,33,894,No program,1149,0,0 +599,Female,34,906,Program,1256,0,1 +600,Male,35,731,No program,1186,1,0 +601,Male,36,773,Program,1314,1,1 +602,Male,29,812,No program,1134,1,0 +603,Male,36,714,Program,1297,1,1 +604,Male,28,1018,No program,1121,1,0 +605,Male,24,668,No program,1069,1,0 +606,Male,43,814,No program,1265,1,0 +607,Female,42,721,Program,1326,0,1 +608,Male,29,809,No program,1136,1,0 +609,Male,48,817,Program,1417,1,1 +610,Male,33,795,Program,1264,1,1 +611,Male,32,491,Program,1267,1,1 +612,Female,25,550,Program,1177,0,1 +613,Male,35,872,No program,1189,1,0 +614,Male,34,711,No program,1178,1,0 +615,Female,36,810,Program,1270,0,1 +616,Male,39,880,No program,1232,1,0 +617,Male,44,783,No program,1282,1,0 +618,Female,38,729,No program,1196,0,0 +619,Female,45,777,No program,1282,0,0 +620,Male,46,961,Program,1403,1,1 +621,Female,6,956,Program,982,0,1 +622,Male,31,995,No program,1154,1,0 +623,Female,41,950,Program,1320,0,1 +624,Female,24,641,Program,1162,0,1 +625,Male,25,614,No program,1099,1,0 +626,Female,38,807,No program,1198,0,0 +627,Male,31,782,Program,1242,1,1 +628,Female,18,652,Program,1098,0,1 +629,Male,44,601,No program,1281,1,0 +630,Male,27,925,Program,1202,1,1 +631,Female,39,967,No program,1205,0,0 +632,Female,39,826,No program,1211,0,0 +633,Male,50,817,No program,1346,1,0 +634,Male,37,788,Program,1320,1,1 +635,Female,42,751,Program,1330,0,1 +636,Female,46,661,No program,1280,0,0 +637,Male,31,780,No program,1155,1,0 +638,Female,18,695,No program,1003,0,0 +639,Male,36,819,Program,1307,1,1 +640,Male,48,871,Program,1418,1,1 +641,Male,21,771,Program,1147,1,1 +642,Male,45,948,Program,1393,1,1 +643,Male,34,968,Program,1279,1,1 +644,Female,36,924,No program,1186,0,0 +645,Male,32,659,No program,1147,1,0 +646,Male,45,646,Program,1396,1,1 +647,Male,49,808,Program,1432,1,1 +648,Female,51,816,No program,1320,0,0 +649,Male,25,867,No program,1101,1,0 +650,Female,43,653,Program,1345,0,1 +651,Male,31,772,No program,1149,1,0 +652,Female,25,835,Program,1174,0,1 +653,Female,39,634,Program,1306,0,1 +654,Male,35,819,Program,1286,1,1 +655,Male,43,990,Program,1366,1,1 +656,Male,53,648,No program,1370,1,0 +657,Female,45,933,Program,1368,0,1 +658,Male,28,905,Program,1221,1,1 +659,Male,36,906,No program,1203,1,0 +660,Female,49,943,No program,1309,0,0 +661,Female,47,802,Program,1390,0,1 +662,Female,19,820,Program,1113,0,1 +663,Female,44,701,Program,1362,0,1 +664,Male,32,852,Program,1258,1,1 +665,Male,29,927,No program,1119,1,0 +666,Male,24,819,No program,1074,1,0 +667,Female,32,918,Program,1239,0,1 +668,Male,42,924,No program,1266,1,0 +669,Male,49,671,No program,1326,1,0 +670,Female,36,834,Program,1275,0,1 +671,Male,34,752,No program,1182,1,0 +672,Female,33,783,Program,1249,0,1 +673,Male,45,783,No program,1277,1,0 +674,Male,24,688,No program,1080,1,0 +675,Female,38,894,Program,1293,0,1 +676,Female,45,709,No program,1272,0,0 +677,Male,46,849,No program,1290,1,0 +678,Female,39,620,No program,1207,0,0 +679,Male,23,763,No program,1069,1,0 +680,Female,27,779,No program,1093,0,0 +681,Male,28,734,No program,1114,1,0 +682,Male,21,782,No program,1043,1,0 +683,Female,35,904,Program,1264,0,1 +684,Male,47,859,No program,1312,1,0 +685,Female,11,721,Program,1021,0,1 +686,Male,43,779,Program,1369,1,1 +687,Female,33,790,No program,1154,0,0 +688,Male,27,762,No program,1110,1,0 +689,Male,43,787,Program,1358,1,1 +690,Male,41,771,No program,1252,1,0 +691,Female,36,1014,No program,1180,0,0 +692,Male,26,829,Program,1193,1,1 +693,Male,28,855,No program,1115,1,0 +694,Male,19,742,No program,1029,1,0 +695,Male,54,824,No program,1384,1,0 +696,Male,33,829,No program,1167,1,0 +697,Male,27,840,No program,1111,1,0 +698,Male,13,818,No program,962,1,0 +699,Male,31,998,Program,1251,1,1 +700,Female,30,603,Program,1216,0,1 +701,Male,21,854,No program,1054,1,0 +702,Male,59,853,Program,1528,1,1 +703,Female,44,729,Program,1353,0,1 +704,Male,20,806,No program,1025,1,0 +705,Male,46,709,Program,1405,1,1 +706,Male,45,726,No program,1299,1,0 +707,Male,41,579,No program,1250,1,0 +708,Female,39,927,No program,1206,0,0 +709,Male,36,745,Program,1299,1,1 +710,Male,41,861,Program,1351,1,1 +711,Female,25,773,No program,1065,0,0 +712,Female,29,1002,Program,1207,0,1 +713,Female,25,824,Program,1175,0,1 +714,Male,33,1022,Program,1279,1,1 +715,Male,36,816,Program,1306,1,1 +716,Male,41,945,Program,1344,1,1 +717,Male,40,812,No program,1238,1,0 +718,Male,49,835,Program,1428,1,1 +719,Female,41,776,Program,1334,0,1 +720,Male,48,810,No program,1306,1,0 +721,Female,46,872,No program,1274,0,0 +722,Male,29,849,No program,1131,1,0 +723,Female,43,636,Program,1348,0,1 +724,Male,40,922,No program,1237,1,0 +725,Male,36,726,Program,1304,1,1 +726,Female,26,894,No program,1077,0,0 +727,Male,41,788,Program,1344,1,1 +728,Male,36,807,Program,1287,1,1 +729,Male,31,852,Program,1254,1,1 +730,Female,44,710,No program,1267,0,0 +731,Female,45,793,Program,1369,0,1 +732,Male,44,730,Program,1383,1,1 +733,Male,9,868,Program,1030,1,1 +734,Male,26,833,No program,1101,1,0 +735,Female,44,658,No program,1258,0,0 +736,Female,28,769,Program,1195,0,1 +737,Male,39,740,No program,1225,1,0 +738,Female,37,734,No program,1192,0,0 +739,Female,46,801,Program,1375,0,1 +740,Female,28,618,No program,1094,0,0 +741,Male,34,992,No program,1190,1,0 +742,Male,38,848,Program,1320,1,1 +743,Male,48,607,No program,1321,1,0 +744,Male,33,709,No program,1170,1,0 +745,Male,38,837,Program,1316,1,1 +746,Male,22,571,No program,1052,1,0 +747,Male,41,752,No program,1256,1,0 +748,Female,37,798,No program,1182,0,0 +749,Male,41,927,Program,1346,1,1 +750,Female,31,968,Program,1231,0,1 +751,Male,52,932,Program,1464,1,1 +752,Female,34,948,No program,1166,0,0 +753,Male,36,750,Program,1305,1,1 +754,Female,34,914,No program,1163,0,0 +755,Male,43,804,Program,1379,1,1 +756,Female,27,981,Program,1190,0,1 +757,Female,37,833,Program,1288,0,1 +758,Female,41,869,No program,1227,0,0 +759,Male,23,838,Program,1164,1,1 +760,Female,37,882,No program,1200,0,0 +761,Male,29,838,Program,1236,1,1 +762,Female,49,755,No program,1319,0,0 +763,Male,42,811,No program,1266,1,0 +764,Male,18,1094,Program,1123,1,1 +765,Male,44,692,Program,1373,1,1 +766,Female,37,851,Program,1294,0,1 +767,Female,29,842,No program,1104,0,0 +768,Male,31,901,Program,1254,1,1 +769,Female,22,568,Program,1143,0,1 +770,Male,39,674,Program,1323,1,1 +771,Female,19,813,No program,1012,0,0 +772,Female,34,707,No program,1156,0,0 +773,Female,40,757,No program,1213,0,0 +774,Male,36,868,Program,1300,1,1 +775,Female,44,797,Program,1357,0,1 +776,Male,36,722,Program,1300,1,1 +777,Male,58,771,Program,1525,1,1 +778,Male,26,973,No program,1112,1,0 +779,Male,50,960,No program,1342,1,0 +780,Male,19,755,No program,1023,1,0 +781,Female,24,955,No program,1070,0,0 +782,Male,26,861,No program,1097,1,0 +783,Male,20,889,No program,1040,1,0 +784,Male,50,704,No program,1341,1,0 +785,Male,45,646,No program,1284,1,0 +786,Female,49,933,Program,1409,0,1 +787,Female,29,727,Program,1204,0,1 +788,Male,36,737,No program,1193,1,0 +789,Female,46,822,No program,1294,0,0 +790,Male,46,635,Program,1386,1,1 +791,Female,41,859,No program,1221,0,0 +792,Male,37,933,Program,1297,1,1 +793,Female,23,789,No program,1058,0,0 +794,Male,38,627,Program,1315,1,1 +795,Female,33,741,Program,1250,0,1 +796,Male,28,744,No program,1126,1,0 +797,Male,51,905,No program,1353,1,0 +798,Female,28,906,No program,1108,0,0 +799,Male,37,830,Program,1306,1,1 +800,Female,40,761,Program,1321,0,1 +801,Male,46,785,Program,1402,1,1 +802,Female,39,867,Program,1312,0,1 +803,Male,55,881,Program,1489,1,1 +804,Male,39,976,No program,1237,1,0 +805,Male,30,678,Program,1251,1,1 +806,Male,36,838,No program,1206,1,0 +807,Male,42,826,Program,1353,1,1 +808,Male,13,628,Program,1068,1,1 +809,Female,34,779,No program,1154,0,0 +810,Male,35,745,Program,1292,1,1 +811,Male,33,683,Program,1263,1,1 +812,Male,36,825,No program,1188,1,0 +813,Female,15,561,Program,1073,0,1 +814,Female,38,907,Program,1308,0,1 +815,Male,35,949,No program,1199,1,0 +816,Male,30,925,No program,1145,1,0 +817,Male,6,891,No program,905,1,0 +818,Female,31,825,Program,1238,0,1 +819,Male,36,816,Program,1296,1,1 +820,Male,34,789,Program,1285,1,1 +821,Male,29,724,No program,1126,1,0 +822,Male,38,821,Program,1312,1,1 +823,Male,26,875,Program,1190,1,1 +824,Male,42,669,Program,1357,1,1 +825,Male,43,775,Program,1374,1,1 +826,Female,45,766,Program,1366,0,1 +827,Male,43,830,No program,1268,1,0 +828,Male,31,714,No program,1154,1,0 +829,Male,35,896,Program,1287,1,1 +830,Male,47,750,Program,1409,1,1 +831,Male,41,927,Program,1347,1,1 +832,Female,38,749,No program,1205,0,0 +833,Female,48,921,No program,1306,0,0 +834,Female,29,766,Program,1206,0,1 +835,Male,35,865,Program,1303,1,1 +836,Female,48,828,Program,1395,0,1 +837,Female,33,791,Program,1246,0,1 +838,Male,36,949,Program,1304,1,1 +839,Male,34,818,Program,1273,1,1 +840,Female,47,843,Program,1397,0,1 +841,Male,36,786,No program,1196,1,0 +842,Male,36,759,Program,1295,1,1 +843,Female,28,1021,No program,1102,0,0 +844,Male,31,779,Program,1251,1,1 +845,Male,19,814,No program,1028,1,0 +846,Female,39,833,Program,1296,0,1 +847,Male,43,817,No program,1279,1,0 +848,Female,22,943,Program,1141,0,1 +849,Female,39,683,Program,1314,0,1 +850,Female,38,765,Program,1301,0,1 +851,Male,37,686,Program,1295,1,1 +852,Female,36,731,No program,1177,0,0 +853,Female,51,849,Program,1440,0,1 +854,Male,38,885,No program,1220,1,0 +855,Male,49,1085,No program,1327,1,0 +856,Female,40,850,No program,1214,0,0 +857,Male,40,771,No program,1238,1,0 +858,Male,30,700,Program,1233,1,1 +859,Female,62,841,No program,1442,0,0 +860,Female,34,893,No program,1170,0,0 +861,Male,30,757,No program,1135,1,0 +862,Male,39,827,No program,1229,1,0 +863,Male,39,824,Program,1330,1,1 +864,Male,42,760,Program,1355,1,1 +865,Male,26,878,Program,1205,1,1 +866,Female,34,657,Program,1257,0,1 +867,Male,51,1002,Program,1453,1,1 +868,Female,30,805,No program,1118,0,0 +869,Male,31,843,No program,1153,1,0 +870,Male,41,811,Program,1349,1,1 +871,Female,29,667,No program,1111,0,0 +872,Female,46,859,No program,1284,0,0 +873,Female,39,789,Program,1318,0,1 +874,Male,36,698,Program,1296,1,1 +875,Female,19,838,No program,1009,0,0 +876,Male,32,605,Program,1249,1,1 +877,Male,55,954,No program,1392,1,0 +878,Male,32,710,No program,1158,1,0 +879,Male,42,788,No program,1263,1,0 +880,Male,26,985,Program,1192,1,1 +881,Female,19,655,No program,1014,0,0 +882,Male,42,968,Program,1367,1,1 +883,Male,49,881,No program,1330,1,0 +884,Male,20,872,No program,1031,1,0 +885,Male,43,581,Program,1371,1,1 +886,Female,38,776,Program,1305,0,1 +887,Male,31,661,No program,1150,1,0 +888,Male,52,729,Program,1458,1,1 +889,Male,25,844,No program,1094,1,0 +890,Male,34,712,No program,1177,1,0 +891,Female,42,909,No program,1231,0,0 +892,Female,24,805,Program,1165,0,1 +893,Female,46,641,Program,1378,0,1 +894,Male,34,886,Program,1279,1,1 +895,Male,47,740,Program,1409,1,1 +896,Male,35,696,No program,1191,1,0 +897,Female,28,918,Program,1192,0,1 +898,Female,22,832,No program,1034,0,0 +899,Female,21,849,No program,1037,0,0 +900,Female,34,832,No program,1162,0,0 +901,Female,15,730,No program,965,0,0 +902,Male,19,802,Program,1135,1,1 +903,Female,55,782,No program,1358,0,0 +904,Male,33,735,Program,1268,1,1 +905,Female,49,631,No program,1308,0,0 +906,Male,51,848,Program,1448,1,1 +907,Male,36,733,No program,1201,1,0 +908,Male,35,932,No program,1191,1,0 +909,Female,37,898,Program,1292,0,1 +910,Male,42,770,Program,1353,1,1 +911,Male,43,832,No program,1266,1,0 +912,Male,15,893,No program,993,1,0 +913,Male,35,772,Program,1291,1,1 +914,Male,41,1102,Program,1353,1,1 +915,Male,33,856,Program,1277,1,1 +916,Male,37,791,No program,1209,1,0 +917,Male,44,806,Program,1379,1,1 +918,Female,34,796,Program,1254,0,1 +919,Female,50,931,Program,1417,0,1 +920,Female,40,924,Program,1313,0,1 +921,Male,19,814,Program,1138,1,1 +922,Male,33,784,No program,1177,1,0 +923,Male,41,859,No program,1246,1,0 +924,Male,37,740,No program,1197,1,0 +925,Male,21,806,No program,1056,1,0 +926,Male,16,781,Program,1095,1,1 +927,Female,34,658,Program,1260,0,1 +928,Male,42,744,Program,1353,1,1 +929,Male,28,689,No program,1117,1,0 +930,Male,39,894,Program,1327,1,1 +931,Male,41,683,Program,1343,1,1 +932,Female,45,788,Program,1369,0,1 +933,Male,41,703,No program,1242,1,0 +934,Female,37,809,Program,1296,0,1 +935,Male,19,753,Program,1128,1,1 +936,Male,30,1035,Program,1241,1,1 +937,Male,44,767,Program,1376,1,1 +938,Male,40,875,No program,1227,1,0 +939,Male,26,839,Program,1198,1,1 +940,Male,38,868,No program,1216,1,0 +941,Female,34,902,No program,1156,0,0 +942,Male,48,751,Program,1417,1,1 +943,Female,35,687,No program,1161,0,0 +944,Female,31,866,Program,1233,0,1 +945,Female,32,707,No program,1140,0,0 +946,Male,26,937,No program,1106,1,0 +947,Male,48,691,Program,1422,1,1 +948,Male,37,544,Program,1311,1,1 +949,Male,29,694,No program,1146,1,0 +950,Male,39,748,Program,1330,1,1 +951,Female,44,990,Program,1359,0,1 +952,Female,31,882,Program,1232,0,1 +953,Male,32,957,No program,1166,1,0 +954,Female,34,669,Program,1268,0,1 +955,Female,15,911,Program,1063,0,1 +956,Male,37,739,No program,1205,1,0 +957,Female,35,887,No program,1178,0,0 +958,Male,32,606,Program,1269,1,1 +959,Male,25,898,Program,1186,1,1 +960,Female,46,770,No program,1276,0,0 +961,Male,30,781,Program,1233,1,1 +962,Male,36,932,No program,1198,1,0 +963,Female,56,836,No program,1390,0,0 +964,Female,29,810,Program,1205,0,1 +965,Male,28,882,No program,1128,1,0 +966,Male,37,711,No program,1201,1,0 +967,Female,32,667,No program,1139,0,0 +968,Male,30,908,Program,1240,1,1 +969,Male,39,942,No program,1228,1,0 +970,Male,37,850,No program,1206,1,0 +971,Female,24,799,No program,1067,0,0 +972,Female,21,942,No program,1027,0,0 +973,Male,41,815,No program,1248,1,0 +974,Female,27,839,Program,1184,0,1 +975,Male,25,812,No program,1099,1,0 +976,Female,47,875,Program,1391,0,1 +977,Female,36,683,Program,1279,0,1 +978,Male,30,754,Program,1235,1,1 +979,Female,43,780,Program,1345,0,1 +980,Male,48,638,Program,1422,1,1 +981,Female,45,877,No program,1260,0,0 +982,Female,25,822,Program,1168,0,1 +983,Male,29,729,Program,1226,1,1 +984,Female,38,835,Program,1303,0,1 +985,Female,21,817,No program,1027,0,0 +986,Male,31,730,No program,1153,1,0 +987,Male,35,806,Program,1283,1,1 +988,Female,34,724,No program,1161,0,0 +989,Male,37,854,No program,1214,1,0 +990,Male,37,661,No program,1208,1,0 +991,Male,44,816,No program,1274,1,0 +992,Female,34,885,No program,1152,0,0 +993,Female,27,820,Program,1191,0,1 +994,Male,34,722,Program,1279,1,1 +995,Female,33,692,Program,1250,0,1 +996,Male,35,638,No program,1195,1,0 +997,Female,50,846,Program,1427,0,1 +998,Male,41,818,No program,1247,1,0 +999,Female,53,806,No program,1349,0,0 +1000,Male,46,869,No program,1302,1,0 diff --git a/docs/_site/files/data/package_data/card.csv b/docs/_site/files/data/package_data/card.csv new file mode 100644 index 00000000..27931fd7 --- /dev/null +++ b/docs/_site/files/data/package_data/card.csv @@ -0,0 +1,3011 @@ 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beetle,2,1999,4,auto(l4),f,19,26,r,subcompact +volkswagen,new beetle,2.5,2008,5,manual(m5),f,20,28,r,subcompact +volkswagen,new beetle,2.5,2008,5,auto(s6),f,20,29,r,subcompact +volkswagen,passat,1.8,1999,4,manual(m5),f,21,29,p,midsize +volkswagen,passat,1.8,1999,4,auto(l5),f,18,29,p,midsize +volkswagen,passat,2,2008,4,auto(s6),f,19,28,p,midsize +volkswagen,passat,2,2008,4,manual(m6),f,21,29,p,midsize +volkswagen,passat,2.8,1999,6,auto(l5),f,16,26,p,midsize +volkswagen,passat,2.8,1999,6,manual(m5),f,18,26,p,midsize +volkswagen,passat,3.6,2008,6,auto(s6),f,17,26,p,midsize diff --git a/docs/_site/files/data/package_data/gapminder.csv b/docs/_site/files/data/package_data/gapminder.csv new file mode 100644 index 00000000..7e643799 --- /dev/null +++ b/docs/_site/files/data/package_data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 +Algeria,Africa,1977,58.014,17152804,4910.416756 +Algeria,Africa,1982,61.368,20033753,5745.160213 +Algeria,Africa,1987,65.799,23254956,5681.358539 +Algeria,Africa,1992,67.744,26298373,5023.216647 +Algeria,Africa,1997,69.152,29072015,4797.295051 +Algeria,Africa,2002,70.994,31287142,5288.040382 +Algeria,Africa,2007,72.301,33333216,6223.367465 +Angola,Africa,1952,30.015,4232095,3520.610273 +Angola,Africa,1957,31.999,4561361,3827.940465 +Angola,Africa,1962,34,4826015,4269.276742 +Angola,Africa,1967,35.985,5247469,5522.776375 +Angola,Africa,1972,37.928,5894858,5473.288005 +Angola,Africa,1977,39.483,6162675,3008.647355 +Angola,Africa,1982,39.942,7016384,2756.953672 +Angola,Africa,1987,39.906,7874230,2430.208311 +Angola,Africa,1992,40.647,8735988,2627.845685 +Angola,Africa,1997,40.963,9875024,2277.140884 +Angola,Africa,2002,41.003,10866106,2773.287312 +Angola,Africa,2007,42.731,12420476,4797.231267 +Argentina,Americas,1952,62.485,17876956,5911.315053 +Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 +Australia,Oceania,1992,77.56,17481977,23424.76683 +Australia,Oceania,1997,78.83,18565243,26997.93657 +Australia,Oceania,2002,80.37,19546792,30687.75473 +Australia,Oceania,2007,81.235,20434176,34435.36744 +Austria,Europe,1952,66.8,6927772,6137.076492 +Austria,Europe,1957,67.48,6965860,8842.59803 +Austria,Europe,1962,69.54,7129864,10750.72111 +Austria,Europe,1967,70.14,7376998,12834.6024 +Austria,Europe,1972,70.63,7544201,16661.6256 +Austria,Europe,1977,72.17,7568430,19749.4223 +Austria,Europe,1982,73.18,7574613,21597.08362 +Austria,Europe,1987,74.94,7578903,23687.82607 +Austria,Europe,1992,76.04,7914969,27042.01868 +Austria,Europe,1997,77.51,8069876,29095.92066 +Austria,Europe,2002,78.98,8148312,32417.60769 +Austria,Europe,2007,79.829,8199783,36126.4927 +Bahrain,Asia,1952,50.939,120447,9867.084765 +Bahrain,Asia,1957,53.832,138655,11635.79945 +Bahrain,Asia,1962,56.923,171863,12753.27514 +Bahrain,Asia,1967,59.923,202182,14804.6727 +Bahrain,Asia,1972,63.3,230800,18268.65839 +Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 +Belgium,Europe,1957,69.24,8989111,9714.960623 +Belgium,Europe,1962,70.25,9218400,10991.20676 +Belgium,Europe,1967,70.94,9556500,13149.04119 +Belgium,Europe,1972,71.44,9709100,16672.14356 +Belgium,Europe,1977,72.8,9821800,19117.97448 +Belgium,Europe,1982,73.93,9856303,20979.84589 +Belgium,Europe,1987,75.35,9870200,22525.56308 +Belgium,Europe,1992,76.46,10045622,25575.57069 +Belgium,Europe,1997,77.53,10199787,27561.19663 +Belgium,Europe,2002,78.32,10311970,30485.88375 +Belgium,Europe,2007,79.441,10392226,33692.60508 +Benin,Africa,1952,38.223,1738315,1062.7522 +Benin,Africa,1957,40.358,1925173,959.6010805 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+Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 +Botswana,Africa,1952,47.622,442308,851.2411407 +Botswana,Africa,1957,49.618,474639,918.2325349 +Botswana,Africa,1962,51.52,512764,983.6539764 +Botswana,Africa,1967,53.298,553541,1214.709294 +Botswana,Africa,1972,56.024,619351,2263.611114 +Botswana,Africa,1977,59.319,781472,3214.857818 +Botswana,Africa,1982,61.484,970347,4551.14215 +Botswana,Africa,1987,63.622,1151184,6205.88385 +Botswana,Africa,1992,62.745,1342614,7954.111645 +Botswana,Africa,1997,52.556,1536536,8647.142313 +Botswana,Africa,2002,46.634,1630347,11003.60508 +Botswana,Africa,2007,50.728,1639131,12569.85177 +Brazil,Americas,1952,50.917,56602560,2108.944355 +Brazil,Americas,1957,53.285,65551171,2487.365989 +Brazil,Americas,1962,55.665,76039390,3336.585802 +Brazil,Americas,1967,57.632,88049823,3429.864357 +Brazil,Americas,1972,59.504,100840058,4985.711467 +Brazil,Americas,1977,61.489,114313951,6660.118654 +Brazil,Americas,1982,63.336,128962939,7030.835878 +Brazil,Americas,1987,65.205,142938076,7807.095818 +Brazil,Americas,1992,67.057,155975974,6950.283021 +Brazil,Americas,1997,69.388,168546719,7957.980824 +Brazil,Americas,2002,71.006,179914212,8131.212843 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Republic,Africa,1977,46.775,2167533,1109.374338 +Central African Republic,Africa,1982,48.295,2476971,956.7529907 +Central African Republic,Africa,1987,50.485,2840009,844.8763504 +Central African Republic,Africa,1992,49.396,3265124,747.9055252 +Central African Republic,Africa,1997,46.066,3696513,740.5063317 +Central African Republic,Africa,2002,43.308,4048013,738.6906068 +Central African Republic,Africa,2007,44.741,4369038,706.016537 +Chad,Africa,1952,38.092,2682462,1178.665927 +Chad,Africa,1957,39.881,2894855,1308.495577 +Chad,Africa,1962,41.716,3150417,1389.817618 +Chad,Africa,1967,43.601,3495967,1196.810565 +Chad,Africa,1972,45.569,3899068,1104.103987 +Chad,Africa,1977,47.383,4388260,1133.98495 +Chad,Africa,1982,49.517,4875118,797.9081006 +Chad,Africa,1987,51.051,5498955,952.386129 +Chad,Africa,1992,51.724,6429417,1058.0643 +Chad,Africa,1997,51.573,7562011,1004.961353 +Chad,Africa,2002,50.525,8835739,1156.18186 +Chad,Africa,2007,50.651,10238807,1704.063724 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Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 +Ethiopia,Africa,1967,42.115,27860297,516.1186438 +Ethiopia,Africa,1972,43.515,30770372,566.2439442 +Ethiopia,Africa,1977,44.51,34617799,556.8083834 +Ethiopia,Africa,1982,44.916,38111756,577.8607471 +Ethiopia,Africa,1987,46.684,42999530,573.7413142 +Ethiopia,Africa,1992,48.091,52088559,421.3534653 +Ethiopia,Africa,1997,49.402,59861301,515.8894013 +Ethiopia,Africa,2002,50.725,67946797,530.0535319 +Ethiopia,Africa,2007,52.947,76511887,690.8055759 +Finland,Europe,1952,66.55,4090500,6424.519071 +Finland,Europe,1957,67.49,4324000,7545.415386 +Finland,Europe,1962,68.75,4491443,9371.842561 +Finland,Europe,1967,69.83,4605744,10921.63626 +Finland,Europe,1972,70.87,4639657,14358.8759 +Finland,Europe,1977,72.52,4738902,15605.42283 +Finland,Europe,1982,74.55,4826933,18533.15761 +Finland,Europe,1987,74.83,4931729,21141.01223 +Finland,Europe,1992,75.7,5041039,20647.16499 +Finland,Europe,1997,77.13,5134406,23723.9502 +Finland,Europe,2002,78.37,5193039,28204.59057 +Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 +Germany,Europe,1977,72.5,78160773,20512.92123 +Germany,Europe,1982,73.8,78335266,22031.53274 +Germany,Europe,1987,74.847,77718298,24639.18566 +Germany,Europe,1992,76.07,80597764,26505.30317 +Germany,Europe,1997,77.34,82011073,27788.88416 +Germany,Europe,2002,78.67,82350671,30035.80198 +Germany,Europe,2007,79.406,82400996,32170.37442 +Ghana,Africa,1952,43.149,5581001,911.2989371 +Ghana,Africa,1957,44.779,6391288,1043.561537 +Ghana,Africa,1962,46.452,7355248,1190.041118 +Ghana,Africa,1967,48.072,8490213,1125.69716 +Ghana,Africa,1972,49.875,9354120,1178.223708 +Ghana,Africa,1977,51.756,10538093,993.2239571 +Ghana,Africa,1982,53.744,11400338,876.032569 +Ghana,Africa,1987,55.729,14168101,847.0061135 +Ghana,Africa,1992,57.501,16278738,925.060154 +Ghana,Africa,1997,58.556,18418288,1005.245812 +Ghana,Africa,2002,58.453,20550751,1111.984578 +Ghana,Africa,2007,60.022,22873338,1327.60891 +Greece,Europe,1952,65.86,7733250,3530.690067 +Greece,Europe,1957,67.86,8096218,4916.299889 +Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 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+Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 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+Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 +Kenya,Africa,1957,44.686,7454779,944.4383152 +Kenya,Africa,1962,47.949,8678557,896.9663732 +Kenya,Africa,1967,50.654,10191512,1056.736457 +Kenya,Africa,1972,53.559,12044785,1222.359968 +Kenya,Africa,1977,56.155,14500404,1267.613204 +Kenya,Africa,1982,58.766,17661452,1348.225791 +Kenya,Africa,1987,59.339,21198082,1361.936856 +Kenya,Africa,1992,59.285,25020539,1341.921721 +Kenya,Africa,1997,54.407,28263827,1360.485021 +Kenya,Africa,2002,50.992,31386842,1287.514732 +Kenya,Africa,2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 +Lesotho,Africa,1972,49.767,1116779,496.5815922 +Lesotho,Africa,1977,52.208,1251524,745.3695408 +Lesotho,Africa,1982,55.078,1411807,797.2631074 +Lesotho,Africa,1987,57.18,1599200,773.9932141 +Lesotho,Africa,1992,59.685,1803195,977.4862725 +Lesotho,Africa,1997,55.558,1982823,1186.147994 +Lesotho,Africa,2002,44.593,2046772,1275.184575 +Lesotho,Africa,2007,42.592,2012649,1569.331442 +Liberia,Africa,1952,38.48,863308,575.5729961 +Liberia,Africa,1957,39.486,975950,620.9699901 +Liberia,Africa,1962,40.502,1112796,634.1951625 +Liberia,Africa,1967,41.536,1279406,713.6036483 +Liberia,Africa,1972,42.614,1482628,803.0054535 +Liberia,Africa,1977,43.764,1703617,640.3224383 +Liberia,Africa,1982,44.852,1956875,572.1995694 +Liberia,Africa,1987,46.027,2269414,506.1138573 +Liberia,Africa,1992,40.802,1912974,636.6229191 +Liberia,Africa,1997,42.221,2200725,609.17395079999994 +Liberia,Africa,2002,43.753,2814651,531.4823679 +Liberia,Africa,2007,45.678,3193942,414.5073415 +Libya,Africa,1952,42.723,1019729,2387.54806 +Libya,Africa,1957,45.289,1201578,3448.284395 +Libya,Africa,1962,47.808,1441863,6757.030816 +Libya,Africa,1967,50.227,1759224,18772.75169 +Libya,Africa,1972,52.773,2183877,21011.49721 +Libya,Africa,1977,57.442,2721783,21951.21176 +Libya,Africa,1982,62.155,3344074,17364.27538 +Libya,Africa,1987,66.234,3799845,11770.5898 +Libya,Africa,1992,68.755,4364501,9640.138501 +Libya,Africa,1997,71.555,4759670,9467.446056 +Libya,Africa,2002,72.737,5368585,9534.677467 +Libya,Africa,2007,73.952,6036914,12057.49928 +Madagascar,Africa,1952,36.681,4762912,1443.011715 +Madagascar,Africa,1957,38.865,5181679,1589.20275 +Madagascar,Africa,1962,40.848,5703324,1643.38711 +Madagascar,Africa,1967,42.881,6334556,1634.047282 +Madagascar,Africa,1972,44.851,7082430,1748.562982 +Madagascar,Africa,1977,46.881,8007166,1544.228586 +Madagascar,Africa,1982,48.969,9171477,1302.878658 +Madagascar,Africa,1987,49.35,10568642,1155.441948 +Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 +Mauritius,Africa,1997,70.736,1149818,7425.705295 +Mauritius,Africa,2002,71.954,1200206,9021.815894 +Mauritius,Africa,2007,72.801,1250882,10956.99112 +Mexico,Americas,1952,50.789,30144317,3478.125529 +Mexico,Americas,1957,55.19,35015548,4131.546641 +Mexico,Americas,1962,58.299,41121485,4581.609385 +Mexico,Americas,1967,60.11,47995559,5754.733883 +Mexico,Americas,1972,62.361,55984294,6809.40669 +Mexico,Americas,1977,65.032,63759976,7674.929108 +Mexico,Americas,1982,67.405,71640904,9611.147541 +Mexico,Americas,1987,69.498,80122492,8688.156003 +Mexico,Americas,1992,71.455,88111030,9472.384295 +Mexico,Americas,1997,73.67,95895146,9767.29753 +Mexico,Americas,2002,74.902,102479927,10742.44053 +Mexico,Americas,2007,76.195,108700891,11977.57496 +Mongolia,Asia,1952,42.244,800663,786.5668575 +Mongolia,Asia,1957,45.248,882134,912.6626085 +Mongolia,Asia,1962,48.251,1010280,1056.353958 +Mongolia,Asia,1967,51.253,1149500,1226.04113 +Mongolia,Asia,1972,53.754,1320500,1421.741975 +Mongolia,Asia,1977,55.491,1528000,1647.511665 +Mongolia,Asia,1982,57.489,1756032,2000.603139 +Mongolia,Asia,1987,60.222,2015133,2338.008304 +Mongolia,Asia,1992,61.271,2312802,1785.402016 +Mongolia,Asia,1997,63.625,2494803,1902.2521 +Mongolia,Asia,2002,65.033,2674234,2140.739323 +Mongolia,Asia,2007,66.803,2874127,3095.772271 +Montenegro,Europe,1952,59.164,413834,2647.585601 +Montenegro,Europe,1957,61.448,442829,3682.259903 +Montenegro,Europe,1962,63.728,474528,4649.593785 +Montenegro,Europe,1967,67.178,501035,5907.850937 +Montenegro,Europe,1972,70.636,527678,7778.414017 +Montenegro,Europe,1977,73.066,560073,9595.929905 +Montenegro,Europe,1982,74.101,562548,11222.58762 +Montenegro,Europe,1987,74.865,569473,11732.51017 +Montenegro,Europe,1992,75.435,621621,7003.339037 +Montenegro,Europe,1997,75.445,692651,6465.613349 +Montenegro,Europe,2002,73.981,720230,6557.194282 +Montenegro,Europe,2007,74.543,684736,9253.896111 +Morocco,Africa,1952,42.873,9939217,1688.20357 +Morocco,Africa,1957,45.423,11406350,1642.002314 +Morocco,Africa,1962,47.924,13056604,1566.353493 +Morocco,Africa,1967,50.335,14770296,1711.04477 +Morocco,Africa,1972,52.862,16660670,1930.194975 +Morocco,Africa,1977,55.73,18396941,2370.619976 +Morocco,Africa,1982,59.65,20198730,2702.620356 +Morocco,Africa,1987,62.677,22987397,2755.046991 +Morocco,Africa,1992,65.393,25798239,2948.047252 +Morocco,Africa,1997,67.66,28529501,2982.101858 +Morocco,Africa,2002,69.615,31167783,3258.495584 +Morocco,Africa,2007,71.164,33757175,3820.17523 +Mozambique,Africa,1952,31.286,6446316,468.5260381 +Mozambique,Africa,1957,33.779,7038035,495.5868333 +Mozambique,Africa,1962,36.161,7788944,556.6863539 +Mozambique,Africa,1967,38.113,8680909,566.6691539 +Mozambique,Africa,1972,40.328,9809596,724.9178037 +Mozambique,Africa,1977,42.495,11127868,502.3197334 +Mozambique,Africa,1982,42.795,12587223,462.2114149 +Mozambique,Africa,1987,42.861,12891952,389.8761846 +Mozambique,Africa,1992,44.284,13160731,410.8968239 +Mozambique,Africa,1997,46.344,16603334,472.3460771 +Mozambique,Africa,2002,44.026,18473780,633.6179466 +Mozambique,Africa,2007,42.082,19951656,823.6856205 +Myanmar,Asia,1952,36.319,20092996,331 +Myanmar,Asia,1957,41.905,21731844,350 +Myanmar,Asia,1962,45.108,23634436,388 +Myanmar,Asia,1967,49.379,25870271,349 +Myanmar,Asia,1972,53.07,28466390,357 +Myanmar,Asia,1977,56.059,31528087,371 +Myanmar,Asia,1982,58.056,34680442,424 +Myanmar,Asia,1987,58.339,38028578,385 +Myanmar,Asia,1992,59.32,40546538,347 +Myanmar,Asia,1997,60.328,43247867,415 +Myanmar,Asia,2002,59.908,45598081,611 +Myanmar,Asia,2007,62.069,47761980,944 +Namibia,Africa,1952,41.725,485831,2423.780443 +Namibia,Africa,1957,45.226,548080,2621.448058 +Namibia,Africa,1962,48.386,621392,3173.215595 +Namibia,Africa,1967,51.159,706640,3793.694753 +Namibia,Africa,1972,53.867,821782,3746.080948 +Namibia,Africa,1977,56.437,977026,3876.485958 +Namibia,Africa,1982,58.968,1099010,4191.100511 +Namibia,Africa,1987,60.835,1278184,3693.731337 +Namibia,Africa,1992,61.999,1554253,3804.537999 +Namibia,Africa,1997,58.909,1774766,3899.52426 +Namibia,Africa,2002,51.479,1972153,4072.324751 +Namibia,Africa,2007,52.906,2055080,4811.060429 +Nepal,Asia,1952,36.157,9182536,545.8657229 +Nepal,Asia,1957,37.686,9682338,597.9363558 +Nepal,Asia,1962,39.393,10332057,652.3968593 +Nepal,Asia,1967,41.472,11261690,676.4422254 +Nepal,Asia,1972,43.971,12412593,674.7881296 +Nepal,Asia,1977,46.748,13933198,694.1124398 +Nepal,Asia,1982,49.594,15796314,718.3730947 +Nepal,Asia,1987,52.537,17917180,775.6324501 +Nepal,Asia,1992,55.727,20326209,897.7403604 +Nepal,Asia,1997,59.426,23001113,1010.892138 +Nepal,Asia,2002,61.34,25873917,1057.206311 +Nepal,Asia,2007,63.785,28901790,1091.359778 +Netherlands,Europe,1952,72.13,10381988,8941.571858 +Netherlands,Europe,1957,72.99,11026383,11276.19344 +Netherlands,Europe,1962,73.23,11805689,12790.84956 +Netherlands,Europe,1967,73.82,12596822,15363.25136 +Netherlands,Europe,1972,73.75,13329874,18794.74567 +Netherlands,Europe,1977,75.24,13852989,21209.0592 +Netherlands,Europe,1982,76.05,14310401,21399.46046 +Netherlands,Europe,1987,76.83,14665278,23651.32361 +Netherlands,Europe,1992,77.42,15174244,26790.94961 +Netherlands,Europe,1997,78.03,15604464,30246.13063 +Netherlands,Europe,2002,78.53,16122830,33724.75778 +Netherlands,Europe,2007,79.762,16570613,36797.93332 +New Zealand,Oceania,1952,69.39,1994794,10556.57566 +New Zealand,Oceania,1957,70.26,2229407,12247.39532 +New Zealand,Oceania,1962,71.24,2488550,13175.678 +New Zealand,Oceania,1967,71.52,2728150,14463.91893 +New Zealand,Oceania,1972,71.89,2929100,16046.03728 +New Zealand,Oceania,1977,72.22,3164900,16233.7177 +New Zealand,Oceania,1982,73.84,3210650,17632.4104 +New Zealand,Oceania,1987,74.32,3317166,19007.19129 +New Zealand,Oceania,1992,76.33,3437674,18363.32494 +New Zealand,Oceania,1997,77.55,3676187,21050.41377 +New Zealand,Oceania,2002,79.11,3908037,23189.80135 +New Zealand,Oceania,2007,80.204,4115771,25185.00911 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+Niger,Africa,1992,47.391,8392818,581.182725 +Niger,Africa,1997,51.313,9666252,580.3052092 +Niger,Africa,2002,54.496,11140655,601.0745012 +Niger,Africa,2007,56.867,12894865,619.6768924 +Nigeria,Africa,1952,36.324,33119096,1077.281856 +Nigeria,Africa,1957,37.802,37173340,1100.592563 +Nigeria,Africa,1962,39.36,41871351,1150.927478 +Nigeria,Africa,1967,41.04,47287752,1014.514104 +Nigeria,Africa,1972,42.821,53740085,1698.388838 +Nigeria,Africa,1977,44.514,62209173,1981.951806 +Nigeria,Africa,1982,45.826,73039376,1576.97375 +Nigeria,Africa,1987,46.886,81551520,1385.029563 +Nigeria,Africa,1992,47.472,93364244,1619.848217 +Nigeria,Africa,1997,47.464,106207839,1624.941275 +Nigeria,Africa,2002,46.608,119901274,1615.286395 +Nigeria,Africa,2007,46.859,135031164,2013.977305 +Norway,Europe,1952,72.67,3327728,10095.42172 +Norway,Europe,1957,73.44,3491938,11653.97304 +Norway,Europe,1962,73.47,3638919,13450.40151 +Norway,Europe,1967,74.08,3786019,16361.87647 +Norway,Europe,1972,74.34,3933004,18965.05551 +Norway,Europe,1977,75.37,4043205,23311.34939 +Norway,Europe,1982,75.97,4114787,26298.63531 +Norway,Europe,1987,75.89,4186147,31540.9748 +Norway,Europe,1992,77.32,4286357,33965.66115 +Norway,Europe,1997,78.32,4405672,41283.16433 +Norway,Europe,2002,79.05,4535591,44683.97525 +Norway,Europe,2007,80.196,4627926,49357.19017 +Oman,Asia,1952,37.578,507833,1828.230307 +Oman,Asia,1957,40.08,561977,2242.746551 +Oman,Asia,1962,43.165,628164,2924.638113 +Oman,Asia,1967,46.988,714775,4720.942687 +Oman,Asia,1972,52.143,829050,10618.03855 +Oman,Asia,1977,57.367,1004533,11848.34392 +Oman,Asia,1982,62.728,1301048,12954.79101 +Oman,Asia,1987,67.734,1593882,18115.22313 +Oman,Asia,1992,71.197,1915208,18616.70691 +Oman,Asia,1997,72.499,2283635,19702.05581 +Oman,Asia,2002,74.193,2713462,19774.83687 +Oman,Asia,2007,75.64,3204897,22316.19287 +Pakistan,Asia,1952,43.436,41346560,684.5971438 +Pakistan,Asia,1957,45.557,46679944,747.0835292 +Pakistan,Asia,1962,47.67,53100671,803.3427418 +Pakistan,Asia,1967,49.8,60641899,942.4082588 +Pakistan,Asia,1972,51.929,69325921,1049.938981 +Pakistan,Asia,1977,54.043,78152686,1175.921193 +Pakistan,Asia,1982,56.158,91462088,1443.429832 +Pakistan,Asia,1987,58.245,105186881,1704.686583 +Pakistan,Asia,1992,60.838,120065004,1971.829464 +Pakistan,Asia,1997,61.818,135564834,2049.350521 +Pakistan,Asia,2002,63.61,153403524,2092.712441 +Pakistan,Asia,2007,65.483,169270617,2605.94758 +Panama,Americas,1952,55.191,940080,2480.380334 +Panama,Americas,1957,59.201,1063506,2961.800905 +Panama,Americas,1962,61.817,1215725,3536.540301 +Panama,Americas,1967,64.071,1405486,4421.009084 +Panama,Americas,1972,66.216,1616384,5364.249663 +Panama,Americas,1977,68.681,1839782,5351.912144 +Panama,Americas,1982,70.472,2036305,7009.601598 +Panama,Americas,1987,71.523,2253639,7034.779161 +Panama,Americas,1992,72.462,2484997,6618.74305 +Panama,Americas,1997,73.738,2734531,7113.692252 +Panama,Americas,2002,74.712,2990875,7356.031934 +Panama,Americas,2007,75.537,3242173,9809.185636 +Paraguay,Americas,1952,62.649,1555876,1952.308701 +Paraguay,Americas,1957,63.196,1770902,2046.154706 +Paraguay,Americas,1962,64.361,2009813,2148.027146 +Paraguay,Americas,1967,64.951,2287985,2299.376311 +Paraguay,Americas,1972,65.815,2614104,2523.337977 +Paraguay,Americas,1977,66.353,2984494,3248.373311 +Paraguay,Americas,1982,66.874,3366439,4258.503604 +Paraguay,Americas,1987,67.378,3886512,3998.875695 +Paraguay,Americas,1992,68.225,4483945,4196.411078 +Paraguay,Americas,1997,69.4,5154123,4247.400261 +Paraguay,Americas,2002,70.755,5884491,3783.674243 +Paraguay,Americas,2007,71.752,6667147,4172.838464 +Peru,Americas,1952,43.902,8025700,3758.523437 +Peru,Americas,1957,46.263,9146100,4245.256698 +Peru,Americas,1962,49.096,10516500,4957.037982 +Peru,Americas,1967,51.445,12132200,5788.09333 +Peru,Americas,1972,55.448,13954700,5937.827283 +Peru,Americas,1977,58.447,15990099,6281.290855 +Peru,Americas,1982,61.406,18125129,6434.501797 +Peru,Americas,1987,64.134,20195924,6360.9434440000005 +Peru,Americas,1992,66.458,22430449,4446.380924 +Peru,Americas,1997,68.386,24748122,5838.347657 +Peru,Americas,2002,69.906,26769436,5909.020073 +Peru,Americas,2007,71.421,28674757,7408.905561 +Philippines,Asia,1952,47.752,22438691,1272.880995 +Philippines,Asia,1957,51.334,26072194,1547.944844 +Philippines,Asia,1962,54.757,30325264,1649.552153 +Philippines,Asia,1967,56.393,35356600,1814.12743 +Philippines,Asia,1972,58.065,40850141,1989.37407 +Philippines,Asia,1977,60.06,46850962,2373.204287 +Philippines,Asia,1982,62.082,53456774,2603.273765 +Philippines,Asia,1987,64.151,60017788,2189.634995 +Philippines,Asia,1992,66.458,67185766,2279.324017 +Philippines,Asia,1997,68.564,75012988,2536.534925 +Philippines,Asia,2002,70.303,82995088,2650.921068 +Philippines,Asia,2007,71.688,91077287,3190.481016 +Poland,Europe,1952,61.31,25730551,4029.329699 +Poland,Europe,1957,65.77,28235346,4734.253019 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+Portugal,Europe,2007,78.098,10642836,20509.64777 +Puerto Rico,Americas,1952,64.28,2227000,3081.959785 +Puerto Rico,Americas,1957,68.54,2260000,3907.156189 +Puerto Rico,Americas,1962,69.62,2448046,5108.34463 +Puerto Rico,Americas,1967,71.1,2648961,6929.277714 +Puerto Rico,Americas,1972,72.16,2847132,9123.041742 +Puerto Rico,Americas,1977,73.44,3080828,9770.524921 +Puerto Rico,Americas,1982,73.75,3279001,10330.98915 +Puerto Rico,Americas,1987,74.63,3444468,12281.34191 +Puerto Rico,Americas,1992,73.911,3585176,14641.58711 +Puerto Rico,Americas,1997,74.917,3759430,16999.4333 +Puerto Rico,Americas,2002,77.778,3859606,18855.60618 +Puerto Rico,Americas,2007,78.746,3942491,19328.70901 +Reunion,Africa,1952,52.724,257700,2718.885295 +Reunion,Africa,1957,55.09,308700,2769.451844 +Reunion,Africa,1962,57.666,358900,3173.72334 +Reunion,Africa,1967,60.542,414024,4021.175739 +Reunion,Africa,1972,64.274,461633,5047.658563 +Reunion,Africa,1977,67.064,492095,4319.804067 +Reunion,Africa,1982,69.885,517810,5267.219353 +Reunion,Africa,1987,71.913,562035,5303.377488 +Reunion,Africa,1992,73.615,622191,6101.255823 +Reunion,Africa,1997,74.772,684810,6071.941411 +Reunion,Africa,2002,75.744,743981,6316.1652 +Reunion,Africa,2007,76.442,798094,7670.122558 +Romania,Europe,1952,61.05,16630000,3144.613186 +Romania,Europe,1957,64.1,17829327,3943.370225 +Romania,Europe,1962,66.8,18680721,4734.997586 +Romania,Europe,1967,66.8,19284814,6470.866545 +Romania,Europe,1972,69.21,20662648,8011.414402 +Romania,Europe,1977,69.46,21658597,9356.39724 +Romania,Europe,1982,69.66,22356726,9605.314053 +Romania,Europe,1987,69.53,22686371,9696.273295 +Romania,Europe,1992,69.36,22797027,6598.409903 +Romania,Europe,1997,69.72,22562458,7346.547557 +Romania,Europe,2002,71.322,22404337,7885.360081 +Romania,Europe,2007,72.476,22276056,10808.47561 +Rwanda,Africa,1952,40,2534927,493.3238752 +Rwanda,Africa,1957,41.5,2822082,540.2893983 +Rwanda,Africa,1962,43,3051242,597.4730727 +Rwanda,Africa,1967,44.1,3451079,510.9637142 +Rwanda,Africa,1972,44.6,3992121,590.5806638 +Rwanda,Africa,1977,45,4657072,670.0806011 +Rwanda,Africa,1982,46.218,5507565,881.5706467 +Rwanda,Africa,1987,44.02,6349365,847.991217 +Rwanda,Africa,1992,23.599,7290203,737.0685949 +Rwanda,Africa,1997,36.087,7212583,589.9445051 +Rwanda,Africa,2002,43.413,7852401,785.6537648 +Rwanda,Africa,2007,46.242,8860588,863.0884639 +Sao Tome and Principe,Africa,1952,46.471,60011,879.5835855 +Sao Tome and Principe,Africa,1957,48.945,61325,860.7369026 +Sao Tome and Principe,Africa,1962,51.893,65345,1071.551119 +Sao Tome and Principe,Africa,1967,54.425,70787,1384.840593 +Sao Tome and Principe,Africa,1972,56.48,76595,1532.985254 +Sao Tome and Principe,Africa,1977,58.55,86796,1737.561657 +Sao Tome and Principe,Africa,1982,60.351,98593,1890.218117 +Sao Tome and Principe,Africa,1987,61.728,110812,1516.525457 +Sao Tome and Principe,Africa,1992,62.742,125911,1428.777814 +Sao Tome and Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 +Senegal,Africa,1972,45.815,4588696,1597.712056 +Senegal,Africa,1977,48.879,5260855,1561.769116 +Senegal,Africa,1982,52.379,6147783,1518.479984 +Senegal,Africa,1987,55.769,7171347,1441.72072 +Senegal,Africa,1992,58.196,8307920,1367.899369 +Senegal,Africa,1997,60.187,9535314,1392.368347 +Senegal,Africa,2002,61.6,10870037,1519.635262 +Senegal,Africa,2007,63.062,12267493,1712.472136 +Serbia,Europe,1952,57.996,6860147,3581.459448 +Serbia,Europe,1957,61.685,7271135,4981.090891 +Serbia,Europe,1962,64.531,7616060,6289.629157 +Serbia,Europe,1967,66.914,7971222,7991.707066 +Serbia,Europe,1972,68.7,8313288,10522.06749 +Serbia,Europe,1977,70.3,8686367,12980.66956 +Serbia,Europe,1982,70.162,9032824,15181.0927 +Serbia,Europe,1987,71.218,9230783,15870.87851 +Serbia,Europe,1992,71.659,9826397,9325.068238 +Serbia,Europe,1997,72.232,10336594,7914.320304 +Serbia,Europe,2002,73.213,10111559,7236.075251 +Serbia,Europe,2007,74.002,10150265,9786.534714 +Sierra Leone,Africa,1952,30.331,2143249,879.7877358 +Sierra Leone,Africa,1957,31.57,2295678,1004.484437 +Sierra Leone,Africa,1962,32.767,2467895,1116.639877 +Sierra Leone,Africa,1967,34.113,2662190,1206.043465 +Sierra Leone,Africa,1972,35.4,2879013,1353.759762 +Sierra Leone,Africa,1977,36.788,3140897,1348.285159 +Sierra Leone,Africa,1982,38.445,3464522,1465.010784 +Sierra Leone,Africa,1987,40.006,3868905,1294.447788 +Sierra Leone,Africa,1992,38.333,4260884,1068.696278 +Sierra Leone,Africa,1997,39.897,4578212,574.6481576 +Sierra Leone,Africa,2002,41.012,5359092,699.489713 +Sierra Leone,Africa,2007,42.568,6144562,862.5407561 +Singapore,Asia,1952,60.396,1127000,2315.138227 +Singapore,Asia,1957,63.179,1445929,2843.104409 +Singapore,Asia,1962,65.798,1750200,3674.735572 +Singapore,Asia,1967,67.946,1977600,4977.41854 +Singapore,Asia,1972,69.521,2152400,8597.756202 +Singapore,Asia,1977,70.795,2325300,11210.08948 +Singapore,Asia,1982,71.76,2651869,15169.16112 +Singapore,Asia,1987,73.56,2794552,18861.53081 +Singapore,Asia,1992,75.788,3235865,24769.8912 +Singapore,Asia,1997,77.158,3802309,33519.4766 +Singapore,Asia,2002,78.77,4197776,36023.1054 +Singapore,Asia,2007,79.972,4553009,47143.17964 +Slovak Republic,Europe,1952,64.36,3558137,5074.659104 +Slovak Republic,Europe,1957,67.45,3844277,6093.26298 +Slovak Republic,Europe,1962,70.33,4237384,7481.107598 +Slovak Republic,Europe,1967,70.98,4442238,8412.902397 +Slovak Republic,Europe,1972,70.35,4593433,9674.167626 +Slovak Republic,Europe,1977,70.45,4827803,10922.66404 +Slovak Republic,Europe,1982,70.8,5048043,11348.54585 +Slovak Republic,Europe,1987,71.08,5199318,12037.26758 +Slovak Republic,Europe,1992,71.38,5302888,9498.467723 +Slovak Republic,Europe,1997,72.71,5383010,12126.23065 +Slovak Republic,Europe,2002,73.8,5410052,13638.77837 +Slovak Republic,Europe,2007,74.663,5447502,18678.31435 +Slovenia,Europe,1952,65.57,1489518,4215.041741 +Slovenia,Europe,1957,67.85,1533070,5862.276629 +Slovenia,Europe,1962,69.15,1582962,7402.303395 +Slovenia,Europe,1967,69.18,1646912,9405.489397 +Slovenia,Europe,1972,69.82,1694510,12383.4862 +Slovenia,Europe,1977,70.97,1746919,15277.03017 +Slovenia,Europe,1982,71.063,1861252,17866.72175 +Slovenia,Europe,1987,72.25,1945870,18678.53492 +Slovenia,Europe,1992,73.64,1999210,14214.71681 +Slovenia,Europe,1997,75.13,2011612,17161.10735 +Slovenia,Europe,2002,76.66,2011497,20660.01936 +Slovenia,Europe,2007,77.926,2009245,25768.25759 +Somalia,Africa,1952,32.978,2526994,1135.749842 +Somalia,Africa,1957,34.977,2780415,1258.147413 +Somalia,Africa,1962,36.981,3080153,1369.488336 +Somalia,Africa,1967,38.977,3428839,1284.73318 +Somalia,Africa,1972,40.973,3840161,1254.576127 +Somalia,Africa,1977,41.974,4353666,1450.992513 +Somalia,Africa,1982,42.955,5828892,1176.807031 +Somalia,Africa,1987,44.501,6921858,1093.244963 +Somalia,Africa,1992,39.658,6099799,926.9602964 +Somalia,Africa,1997,43.795,6633514,930.5964284 +Somalia,Africa,2002,45.936,7753310,882.0818218 +Somalia,Africa,2007,48.159,9118773,926.1410683 +South Africa,Africa,1952,45.009,14264935,4725.295531 +South Africa,Africa,1957,47.985,16151549,5487.104219 +South Africa,Africa,1962,49.951,18356657,5768.729717 +South Africa,Africa,1967,51.927,20997321,7114.477971 +South Africa,Africa,1972,53.696,23935810,7765.962636 +South Africa,Africa,1977,55.527,27129932,8028.651439 +South Africa,Africa,1982,58.161,31140029,8568.266228 +South Africa,Africa,1987,60.834,35933379,7825.823398 +South Africa,Africa,1992,61.888,39964159,7225.069258 +South Africa,Africa,1997,60.236,42835005,7479.188244 +South Africa,Africa,2002,53.365,44433622,7710.946444 +South Africa,Africa,2007,49.339,43997828,9269.657808 +Spain,Europe,1952,64.94,28549870,3834.034742 +Spain,Europe,1957,66.66,29841614,4564.80241 +Spain,Europe,1962,69.69,31158061,5693.843879 +Spain,Europe,1967,71.44,32850275,7993.512294 +Spain,Europe,1972,73.06,34513161,10638.75131 +Spain,Europe,1977,74.39,36439000,13236.92117 +Spain,Europe,1982,76.3,37983310,13926.16997 +Spain,Europe,1987,76.9,38880702,15764.98313 +Spain,Europe,1992,77.57,39549438,18603.06452 +Spain,Europe,1997,78.77,39855442,20445.29896 +Spain,Europe,2002,79.78,40152517,24835.47166 +Spain,Europe,2007,80.941,40448191,28821.0637 +Sri Lanka,Asia,1952,57.593,7982342,1083.53203 +Sri Lanka,Asia,1957,61.456,9128546,1072.546602 +Sri Lanka,Asia,1962,62.192,10421936,1074.47196 +Sri Lanka,Asia,1967,64.266,11737396,1135.514326 +Sri Lanka,Asia,1972,65.042,13016733,1213.39553 +Sri Lanka,Asia,1977,65.949,14116836,1348.775651 +Sri Lanka,Asia,1982,68.757,15410151,1648.079789 +Sri Lanka,Asia,1987,69.011,16495304,1876.766827 +Sri Lanka,Asia,1992,70.379,17587060,2153.739222 +Sri Lanka,Asia,1997,70.457,18698655,2664.477257 +Sri Lanka,Asia,2002,70.815,19576783,3015.378833 +Sri Lanka,Asia,2007,72.396,20378239,3970.095407 +Sudan,Africa,1952,38.635,8504667,1615.991129 +Sudan,Africa,1957,39.624,9753392,1770.337074 +Sudan,Africa,1962,40.87,11183227,1959.593767 +Sudan,Africa,1967,42.858,12716129,1687.997641 +Sudan,Africa,1972,45.083,14597019,1659.652775 +Sudan,Africa,1977,47.8,17104986,2202.988423 +Sudan,Africa,1982,50.338,20367053,1895.544073 +Sudan,Africa,1987,51.744,24725960,1507.819159 +Sudan,Africa,1992,53.556,28227588,1492.197043 +Sudan,Africa,1997,55.373,32160729,1632.210764 +Sudan,Africa,2002,56.369,37090298,1993.398314 +Sudan,Africa,2007,58.556,42292929,2602.394995 +Swaziland,Africa,1952,41.407,290243,1148.376626 +Swaziland,Africa,1957,43.424,326741,1244.708364 +Swaziland,Africa,1962,44.992,370006,1856.182125 +Swaziland,Africa,1967,46.633,420690,2613.101665 +Swaziland,Africa,1972,49.552,480105,3364.836625 +Swaziland,Africa,1977,52.537,551425,3781.410618 +Swaziland,Africa,1982,55.561,649901,3895.384018 +Swaziland,Africa,1987,57.678,779348,3984.839812 +Swaziland,Africa,1992,58.474,962344,3553.0224 +Swaziland,Africa,1997,54.289,1054486,3876.76846 +Swaziland,Africa,2002,43.869,1130269,4128.116943 +Swaziland,Africa,2007,39.613,1133066,4513.480643 +Sweden,Europe,1952,71.86,7124673,8527.844662 +Sweden,Europe,1957,72.49,7363802,9911.878226 +Sweden,Europe,1962,73.37,7561588,12329.44192 +Sweden,Europe,1967,74.16,7867931,15258.29697 +Sweden,Europe,1972,74.72,8122293,17832.02464 +Sweden,Europe,1977,75.44,8251648,18855.72521 +Sweden,Europe,1982,76.42,8325260,20667.38125 +Sweden,Europe,1987,77.19,8421403,23586.92927 +Sweden,Europe,1992,78.16,8718867,23880.01683 +Sweden,Europe,1997,79.39,8897619,25266.59499 +Sweden,Europe,2002,80.04,8954175,29341.63093 +Sweden,Europe,2007,80.884,9031088,33859.74835 +Switzerland,Europe,1952,69.62,4815000,14734.23275 +Switzerland,Europe,1957,70.56,5126000,17909.48973 +Switzerland,Europe,1962,71.32,5666000,20431.0927 +Switzerland,Europe,1967,72.77,6063000,22966.14432 +Switzerland,Europe,1972,73.78,6401400,27195.11304 +Switzerland,Europe,1977,75.39,6316424,26982.29052 +Switzerland,Europe,1982,76.21,6468126,28397.71512 +Switzerland,Europe,1987,77.41,6649942,30281.70459 +Switzerland,Europe,1992,78.03,6995447,31871.5303 +Switzerland,Europe,1997,79.37,7193761,32135.32301 +Switzerland,Europe,2002,80.62,7361757,34480.95771 +Switzerland,Europe,2007,81.701,7554661,37506.41907 +Syria,Asia,1952,45.883,3661549,1643.485354 +Syria,Asia,1957,48.284,4149908,2117.234893 +Syria,Asia,1962,50.305,4834621,2193.037133 +Syria,Asia,1967,53.655,5680812,1881.923632 +Syria,Asia,1972,57.296,6701172,2571.423014 +Syria,Asia,1977,61.195,7932503,3195.484582 +Syria,Asia,1982,64.59,9410494,3761.837715 +Syria,Asia,1987,66.974,11242847,3116.774285 +Syria,Asia,1992,69.249,13219062,3340.542768 +Syria,Asia,1997,71.527,15081016,4014.238972 +Syria,Asia,2002,73.053,17155814,4090.925331 +Syria,Asia,2007,74.143,19314747,4184.548089 +Taiwan,Asia,1952,58.5,8550362,1206.947913 +Taiwan,Asia,1957,62.4,10164215,1507.86129 +Taiwan,Asia,1962,65.2,11918938,1822.879028 +Taiwan,Asia,1967,67.5,13648692,2643.858681 +Taiwan,Asia,1972,69.39,15226039,4062.523897 +Taiwan,Asia,1977,70.59,16785196,5596.519826 +Taiwan,Asia,1982,72.16,18501390,7426.354774 +Taiwan,Asia,1987,73.4,19757799,11054.56175 +Taiwan,Asia,1992,74.26,20686918,15215.6579 +Taiwan,Asia,1997,75.25,21628605,20206.82098 +Taiwan,Asia,2002,76.99,22454239,23235.42329 +Taiwan,Asia,2007,78.4,23174294,28718.27684 +Tanzania,Africa,1952,41.215,8322925,716.6500721 +Tanzania,Africa,1957,42.974,9452826,698.5356073 +Tanzania,Africa,1962,44.246,10863958,722.0038073 +Tanzania,Africa,1967,45.757,12607312,848.2186575 +Tanzania,Africa,1972,47.62,14706593,915.9850592 +Tanzania,Africa,1977,49.919,17129565,962.4922932 +Tanzania,Africa,1982,50.608,19844382,874.2426069 +Tanzania,Africa,1987,51.535,23040630,831.8220794 +Tanzania,Africa,1992,50.44,26605473,825.682454 +Tanzania,Africa,1997,48.466,30686889,789.1862231 +Tanzania,Africa,2002,49.651,34593779,899.0742111 +Tanzania,Africa,2007,52.517,38139640,1107.482182 +Thailand,Asia,1952,50.848,21289402,757.7974177 +Thailand,Asia,1957,53.63,25041917,793.5774148 +Thailand,Asia,1962,56.061,29263397,1002.199172 +Thailand,Asia,1967,58.285,34024249,1295.46066 +Thailand,Asia,1972,60.405,39276153,1524.358936 +Thailand,Asia,1977,62.494,44148285,1961.224635 +Thailand,Asia,1982,64.597,48827160,2393.219781 +Thailand,Asia,1987,66.084,52910342,2982.653773 +Thailand,Asia,1992,67.298,56667095,4616.896545 +Thailand,Asia,1997,67.521,60216677,5852.625497 +Thailand,Asia,2002,68.564,62806748,5913.187529 +Thailand,Asia,2007,70.616,65068149,7458.396327 +Togo,Africa,1952,38.596,1219113,859.8086567 +Togo,Africa,1957,41.208,1357445,925.9083202 +Togo,Africa,1962,43.922,1528098,1067.53481 +Togo,Africa,1967,46.769,1735550,1477.59676 +Togo,Africa,1972,49.759,2056351,1649.660188 +Togo,Africa,1977,52.887,2308582,1532.776998 +Togo,Africa,1982,55.471,2644765,1344.577953 +Togo,Africa,1987,56.941,3154264,1202.201361 +Togo,Africa,1992,58.061,3747553,1034.298904 +Togo,Africa,1997,58.39,4320890,982.2869243 +Togo,Africa,2002,57.561,4977378,886.2205765 +Togo,Africa,2007,58.42,5701579,882.9699438 +Trinidad and Tobago,Americas,1952,59.1,662850,3023.271928 +Trinidad and Tobago,Americas,1957,61.8,764900,4100.3934 +Trinidad and Tobago,Americas,1962,64.9,887498,4997.523971 +Trinidad and Tobago,Americas,1967,65.4,960155,5621.368472 +Trinidad and Tobago,Americas,1972,65.9,975199,6619.551419 +Trinidad and Tobago,Americas,1977,68.3,1039009,7899.554209 +Trinidad and Tobago,Americas,1982,68.832,1116479,9119.528607 +Trinidad and Tobago,Americas,1987,69.582,1191336,7388.597823 +Trinidad and Tobago,Americas,1992,69.862,1183669,7370.990932 +Trinidad and Tobago,Americas,1997,69.465,1138101,8792.573126 +Trinidad and Tobago,Americas,2002,68.976,1101832,11460.60023 +Trinidad and Tobago,Americas,2007,69.819,1056608,18008.50924 +Tunisia,Africa,1952,44.6,3647735,1468.475631 +Tunisia,Africa,1957,47.1,3950849,1395.232468 +Tunisia,Africa,1962,49.579,4286552,1660.30321 +Tunisia,Africa,1967,52.053,4786986,1932.360167 +Tunisia,Africa,1972,55.602,5303507,2753.285994 +Tunisia,Africa,1977,59.837,6005061,3120.876811 +Tunisia,Africa,1982,64.048,6734098,3560.233174 +Tunisia,Africa,1987,66.894,7724976,3810.419296 +Tunisia,Africa,1992,70.001,8523077,4332.720164 +Tunisia,Africa,1997,71.973,9231669,4876.798614 +Tunisia,Africa,2002,73.042,9770575,5722.895655 +Tunisia,Africa,2007,73.923,10276158,7092.923025 +Turkey,Europe,1952,43.585,22235677,1969.10098 +Turkey,Europe,1957,48.079,25670939,2218.754257 +Turkey,Europe,1962,52.098,29788695,2322.869908 +Turkey,Europe,1967,54.336,33411317,2826.356387 +Turkey,Europe,1972,57.005,37492953,3450.69638 +Turkey,Europe,1977,59.507,42404033,4269.122326 +Turkey,Europe,1982,61.036,47328791,4241.356344 +Turkey,Europe,1987,63.108,52881328,5089.043686 +Turkey,Europe,1992,66.146,58179144,5678.348271 +Turkey,Europe,1997,68.835,63047647,6601.429915 +Turkey,Europe,2002,70.845,67308928,6508.085718 +Turkey,Europe,2007,71.777,71158647,8458.276384 +Uganda,Africa,1952,39.978,5824797,734.753484 +Uganda,Africa,1957,42.571,6675501,774.3710692 +Uganda,Africa,1962,45.344,7688797,767.2717398 +Uganda,Africa,1967,48.051,8900294,908.9185217 +Uganda,Africa,1972,51.016,10190285,950.735869 +Uganda,Africa,1977,50.35,11457758,843.7331372 +Uganda,Africa,1982,49.849,12939400,682.2662268 +Uganda,Africa,1987,51.509,15283050,617.7244065 +Uganda,Africa,1992,48.825,18252190,644.1707969 +Uganda,Africa,1997,44.578,21210254,816.559081 +Uganda,Africa,2002,47.813,24739869,927.7210018 +Uganda,Africa,2007,51.542,29170398,1056.380121 +United Kingdom,Europe,1952,69.18,50430000,9979.508487 +United Kingdom,Europe,1957,70.42,51430000,11283.17795 +United Kingdom,Europe,1962,70.76,53292000,12477.17707 +United Kingdom,Europe,1967,71.36,54959000,14142.85089 +United Kingdom,Europe,1972,72.01,56079000,15895.11641 +United Kingdom,Europe,1977,72.76,56179000,17428.74846 +United Kingdom,Europe,1982,74.04,56339704,18232.42452 +United Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 +Uruguay,Americas,1952,66.071,2252965,5716.766744 +Uruguay,Americas,1957,67.044,2424959,6150.772969 +Uruguay,Americas,1962,68.253,2598466,5603.357717 +Uruguay,Americas,1967,68.468,2748579,5444.61962 +Uruguay,Americas,1972,68.673,2829526,5703.408898 +Uruguay,Americas,1977,69.481,2873520,6504.339663 +Uruguay,Americas,1982,70.805,2953997,6920.223051 +Uruguay,Americas,1987,71.918,3045153,7452.398969 +Uruguay,Americas,1992,72.752,3149262,8137.004775 +Uruguay,Americas,1997,74.223,3262838,9230.240708 +Uruguay,Americas,2002,75.307,3363085,7727.002004 +Uruguay,Americas,2007,76.384,3447496,10611.46299 +Venezuela,Americas,1952,55.088,5439568,7689.799761 +Venezuela,Americas,1957,57.907,6702668,9802.466526 +Venezuela,Americas,1962,60.77,8143375,8422.974165 +Venezuela,Americas,1967,63.479,9709552,9541.474188 +Venezuela,Americas,1972,65.712,11515649,10505.25966 +Venezuela,Americas,1977,67.456,13503563,13143.95095 +Venezuela,Americas,1982,68.557,15620766,11152.41011 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+West Bank and Gaza,Asia,1967,51.631,1142636,2649.715007 +West Bank and Gaza,Asia,1972,56.532,1089572,3133.409277 +West Bank and Gaza,Asia,1977,60.765,1261091,3682.831494 +West Bank and Gaza,Asia,1982,64.406,1425876,4336.032082 +West Bank and Gaza,Asia,1987,67.046,1691210,5107.197384 +West Bank and Gaza,Asia,1992,69.718,2104779,6017.654756 +West Bank and Gaza,Asia,1997,71.096,2826046,7110.667619 +West Bank and Gaza,Asia,2002,72.37,3389578,4515.487575 +West Bank and Gaza,Asia,2007,73.422,4018332,3025.349798 +"Yemen, Rep.",Asia,1952,32.548,4963829,781.7175761 +"Yemen, Rep.",Asia,1957,33.97,5498090,804.8304547 +"Yemen, Rep.",Asia,1962,35.18,6120081,825.6232006 +"Yemen, Rep.",Asia,1967,36.984,6740785,862.4421463 +"Yemen, Rep.",Asia,1972,39.848,7407075,1265.047031 +"Yemen, Rep.",Asia,1977,44.175,8403990,1829.765177 +"Yemen, Rep.",Asia,1982,49.113,9657618,1977.55701 +"Yemen, Rep.",Asia,1987,52.922,11219340,1971.741538 +"Yemen, Rep.",Asia,1992,55.599,13367997,1879.496673 +"Yemen, 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+UID:ical-6ba0eb52-9d70-483e-820b-01a9f52403be +DTSTART;VALUE=DATE:20230419 +DTEND;VALUE=DATE:20230420 +SUMMARY:PMAP 8521: Weekly check-in 14 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-a002a8b7-0997-4de7-859d-c3cb46cce21a +DTSTART;VALUE=DATE:20230430 +DTEND;VALUE=DATE:20230501 +SUMMARY:PMAP 8521: Final project due +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/final-project.html +DTSTAMP:20230119T214517Z +END:VEVENT +END:VCALENDAR diff --git a/docs/_site/files/social-image-sp23.png b/docs/_site/files/social-image-sp23.png new file mode 100644 index 00000000..d17f5628 Binary files /dev/null and b/docs/_site/files/social-image-sp23.png differ diff --git a/slides/evalsp23-slides.Rproj b/docs/_site/projects/01-class/01-class.Rproj similarity index 100% rename from slides/evalsp23-slides.Rproj rename to docs/_site/projects/01-class/01-class.Rproj diff --git a/docs/_site/projects/01-class/01_recreate_me.md b/docs/_site/projects/01-class/01_recreate_me.md new file mode 100644 index 00000000..835c9354 --- /dev/null +++ b/docs/_site/projects/01-class/01_recreate_me.md @@ -0,0 +1,33 @@ +--- +title: "Example paper from regular Markdown" +author: "Your name" +date: "Put the date here" +output: + pdf_document: default + word_document: default +bibliography: references.bib +csl: csl/chicago-author-date.csl +abstract: Here's an important abstract for this important paper. +--- + +It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only. + +There were a king with a large jaw and a queen with a plain face, on the throne of England; there were a king with a large jaw and a queen with a fair face, on the throne of France. In both countries it was clearer than crystal to the lords of the State preserves of loaves and fishes, that things in general were settled for ever. + +It was the year of Our Lord one thousand seven hundred and seventy-five. Spiritual revelations were conceded to England at that favoured period, as at this. Mrs. Southcott had recently attained her five-and-twentieth blessed birthday, of whom a prophetic private in the Life Guards had heralded the sublime appearance by announcing that arrangements were made for the swallowing up of London and Westminster. Even the Cock-lane ghost had been laid only a round dozen of years, after rapping out its messages, as the spirits of this very year last past (supernaturally deficient in originality) rapped out theirs. Mere messages in the earthly order of events had lately come to the English Crown and People, from a congress of British subjects in America: which, strange to relate, have proved more important to the human race than any communications yet received through any of the chickens of the Cock-lane brood. + +France, less favoured on the whole as to matters spiritual than her sister of the shield and trident, rolled with exceeding smoothness down hill, making paper money and spending it. Under the guidance of her Christian pastors, she entertained herself, besides, with such humane achievements as sentencing a youth to have his hands cut off, his tongue torn out with pincers, and his body burned alive, because he had not kneeled down in the rain to do honour to a dirty procession of monks which passed within his view, at a distance of some fifty or sixty yards. It is likely enough that, rooted in the woods of France and Norway, there were growing trees, when that sufferer was put to death, already marked by the Woodman, Fate, to come down and be sawn into boards, to make a certain movable framework with a sack and a knife in it, terrible in history. + +It is likely enough that in the rough outhouses of some tillers of the heavy lands adjacent to Paris, there were sheltered from the weather that very day: rude carts, bespattered with rustic mire, snuffed about by pigs, and roosted in by poultry, which the Farmer, Death, had already set apart to be his tumbrils of the Revolution. + +But that Woodman and that Farmer, though they work unceasingly, work silently, and no one heard them as they went about with muffled tread: the rather, forasmuch as to entertain any suspicion that they were awake, was to be atheistical and traitorous. + +In England, there was scarcely an amount of order and protection to justify much national boasting. Daring burglaries by armed men, and highway robberies, took place in the capital itself every night; families were publicly cautioned not to go out of town without removing their furniture to upholsterers’ warehouses for security; the highwayman in the dark was a City tradesman in the light, and, being recognised and challenged by his fellow-tradesman whom he stopped in his character of “the Captain,” gallantly shot him through the head and rode away; the mail was waylaid by seven robbers, and the guard shot three dead, and then got shot dead himself by the other four, “in consequence of the failure of his ammunition:” after which the mail was robbed in peace; that magnificent potentate, the Lord Mayor of London, was made to stand and deliver on Turnham Green, by one highwayman, who despoiled the illustrious creature in sight of all his retinue; prisoners in London gaols fought battles with their turnkeys, and the majesty of the law fired blunderbusses in among them, loaded with rounds of shot and ball; thieves snipped off diamond crosses from the necks of noble lords at Court drawing-rooms; musketeers went into St. Giles’s, to search for contraband goods, and the mob fired on the musketeers, and the musketeers fired on the mob, and nobody thought any of these occurrences much out of the common way. + +In the midst of them, the hangman, ever busy and ever worse than useless, was in constant requisition; now, stringing up long rows of miscellaneous criminals; now, hanging a housebreaker on Saturday who had been taken on Tuesday; now, burning people in the hand at Newgate by the dozen, and now burning pamphlets at the door of Westminster Hall; to-day, taking the life of an atrocious murderer, and to-morrow of a wretched pilferer who had robbed a farmer’s boy of sixpence. + +All these things, and a thousand like them, came to pass in and close upon the dear old year one thousand seven hundred and seventy-five. Environed by them, while the Woodman and the Farmer worked unheeded, those two of the large jaws, and those other two of the plain and the fair faces, trod with stir enough, and carried their divine rights with a high hand. Thus did the year one thousand seven hundred and seventy-five conduct their Greatnesses, and myriads of small creatures—the creatures of this chronicle among the rest—along the roads that lay before them. + +It was the Dover road that lay, on a Friday night late in November, before the first of the persons with whom this history has business. The Dover road lay, as to him, beyond the Dover mail, as it lumbered up Shooter’s Hill. He walked up hill in the mire by the side of the mail, as the rest of the passengers did; not because they had the least relish for walking exercise, under the circumstances, but because the hill, and the harness, and the mud, and the mail, were all so heavy, that the horses had three times already come to a stop, besides once drawing the coach across the road, with the mutinous intent of taking it back to Blackheath. Reins and whip and coachman and guard, however, in combination, had read that article of war which forbade a purpose otherwise strongly in favour of the argument, that some brute animals are endued with Reason; and the team had capitulated and returned to their duty. + +Two other passengers, besides the one, were plodding up the hill by the side of the mail. All three were wrapped to the cheekbones and over the ears, and wore jack-boots. Not one of the three could have said, from anything he saw, what either of the other two was like; and each was hidden under almost as many wrappers from the eyes of the mind, as from the eyes of the body, of his two companions. diff --git a/docs/_site/projects/01-class/02_getting-started.Rmd b/docs/_site/projects/01-class/02_getting-started.Rmd new file mode 100644 index 00000000..2cbb8f9a --- /dev/null +++ b/docs/_site/projects/01-class/02_getting-started.Rmd @@ -0,0 +1,71 @@ +--- +title: "Getting started with R and RStudio" +output: html_document +--- + +```{r setup} +library(tidyverse) +``` + +## R Markdown + +This is an [R Markdown](http://rmarkdown.rstudio.com) file (it has a .Rmd file extension). When you execute code within the file, the results appear beneath the code. + +R code goes in **code chunks**, denoted by three backticks. Try executing this chunk by clicking the *Run* button (a small green triangle) within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter* (or *Cmd+Shift+Enter* on Mac). + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = cty, y = hwy), alpha = 0.2) +``` + +## Add a new code chunk + +Add a new code chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd/Ctrl+Option+I*. + +Put 2 + 2 in your new code chunk and run it. + +PUT A NEW CHUNK HERE + + +## Knitting R Markdown files + +We'll use R Markdown files as notebooks as we learn because we can record text, code and output. + +R Markdown files are also a publication format. Try hitting the "Knit" button in the toolbar above. R runs all the code in the document from top to bottom, it collects the output and puts the code, text and output together in an HTML document---you should see it as `01-getting-started.html` in the Files pane. This document is a great way to record or share your work (you can also Knit to PDF or Word documents). + +## Assigning variables + +What's the difference between the code in this chunk: + +```{r} +filter(mtcars, cyl == 4) +``` + +And the code in this chunk? + +```{r} +four_cyls <- filter(mtcars, cyl == 4) +``` + +## Functions + +Look at the help page for `seq` + +Add a chunk here that uses `seq()` to create a list of numbers from 5 to 100, spaced by 5 (so 5, 10, 15, 20, etc.) + +CHUNK HERE + + +## Syntax gone wrong + +```{r, error=TRUE} +sd(pull(.data = starwars, var = mass) +``` + +```{r, error=TRUE} +my_name <- "Andrew' +``` + +```{r, error=TRUE} +pull(.data = "starwars", var = height) +``` diff --git a/docs/_site/projects/01-class/03_penguins.Rmd b/docs/_site/projects/01-class/03_penguins.Rmd new file mode 100644 index 00000000..bff57308 --- /dev/null +++ b/docs/_site/projects/01-class/03_penguins.Rmd @@ -0,0 +1,196 @@ +--- +title: "Penguins" +author: "Put your name here" +date: "Put the date here" +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +```{r} +library(tidyverse) +library(scales) +library(broom) + +penguins_raw <- read_csv("data/penguins.csv") +``` + +Between 2007 and 2009, researchers collected data on penguins in three islands in the Palmer Archipelago in Antarctica: Biscoe, Dream, and Torgersen. The `penguins` dataset has data for 342 penguins from 3 different species: Chinstrap, Gentoo, and Adélie. It includes the following variables: + +- `species`: The penguin's species (Chinstrap, Gentoo, and Adélie) +- `island`: The island where the penguin lives (Biscoe, Dream, and Torgersen) +- `bill_length_mm`: The length of the penguin's bill, in millimeters (distance from the penguin's face to the tip of the bill) +- `bill_depth_mm`: The depth of the penguin's bill, in millimeters (height of the bill; distance from the bottom of the bill to the top of the bill) +- `flipper_length_mm`: The length of the penguin's flippers, in millimeters +- `body_mass_g`: The weight of the penguin, in grams +- `sex`: The sex of the penguin +- `year`: The year the observation was made + +Knowing the difference between bill length and bill depth is tricky if you're not a bird expert (I'm not!), so here's a helpful diagram: + +![Penguin bill length vs. bill depth](img/culmen_depth.png) + +# Cleaning the data + +We first need to clean the data a little. Some of the observations are missing the sex of the penguin! + +```{r} +library(naniar) + +gg_miss_var(penguins_raw) +``` + +Missing data will mess up our regression models, so we remove any rows with missing sex. That also fixes the issues we had with the other missing variables, since those rows were missing the sex. + +```{r} +penguins <- penguins_raw %>% + filter(!is.na(sex)) + +gg_miss_var(penguins) +``` + +We'll save this clean data as a CSV file so we can use it in other analysis (or other files within this analysis): + +```{r} +write_csv(penguins, file = "data/penguins_clean.csv") +``` + +# Exploratory analysis + +First we'll look for any patterns in the data. Maybe specific species are heavier or have longer wings or longer or taller bills? + +## Penguin weight by species + +```{r} +ggplot(penguins, aes(x = body_mass_g, + fill = species)) + + geom_density(alpha = 0.75) + + scale_fill_viridis_d(option = "plasma") + + labs(x = "Body mass (g)", y = "Density", fill = "Species") + + theme_minimal() +``` + +```{r} +penguin_details <- penguins %>% + group_by(species) %>% + summarize(avg_weight = mean(body_mass_g), + avg_bill_depth = mean(bill_depth_mm), + avg_flipper_length = mean(flipper_length_mm)) + +gentoo_weight <- filter(penguin_details, species == "Gentoo")$avg_weight +adelie_weight <- filter(penguin_details, species == "Adelie")$avg_weight +chinstrap_weight <- filter(penguin_details, species == "Chinstrap")$avg_weight + +gentoo_bill <- filter(penguin_details, species == "Gentoo")$avg_bill_depth +adelie_bill <- filter(penguin_details, species == "Adelie")$avg_bill_depth +chinstrap_bill <- filter(penguin_details, species == "Chinstrap")$avg_bill_depth +``` + +It looks like Gentoo penguins are heavier on average than the other two species, and substantially so. Gentoo penguins weigh an average of `r comma(gentoo_weight)` grams, while Adelie and Chinstrap penguins weigh an average of `r comma(adelie_weight)` and `r comma(chinstrap_weight)`, respectively. + +## Bill depth by species + +Next we'll look at bill depth (again, this refers to the distance between the top and bottom of the bill) across species: + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, + fill = species)) + + geom_density(alpha = 0.75) + + scale_fill_viridis_d(option = "plasma") + + labs(x = "Bill depth (mm)", y = "Density", fill = "Species") + + theme_minimal() +``` + +Again, Gentoo penguins are quite distinctive and have the shortest bills. On average, Gentoo bills are `r round(gentoo_bill, 1)` millimeters deep, while Adelie and Chinstrap penguins have bills that are `r round(adelie_bill, 1)` and `r round(chinstrap_bill, 1)`, respectively. + +## Penguin location + +Are there any patterns in where these birds live? + +```{r} +ggplot(penguins, aes(x = island, y = species, color = species)) + + geom_point(position = position_jitter(seed = 1234)) + + scale_color_viridis_d(option = "plasma") + + guides(color = "none") + + labs(x = "Island", y = "Species") + + theme_minimal() +``` + +Neat! Gentoo penguins are only on Biscoe Island, Chinstrap penguins are only on Dream Island, and Adelie penguins live on all three of the islands in the dataset---and they're all alone on Torgersen Island. + + +# Regression analysis + +We've seen that Gentoo penguins are pretty distinctive and are both heavier and have shorter bill depths. What's the overall relationship between bill length and bird weight? Are Gentoos still distinctive? + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, y = body_mass_g)) + + geom_point() + + geom_smooth(method = "lm") + + labs(x = "Bill depth (mm)", y = "Body mass (g)") + + theme_minimal() +``` + +According to this plot, it looks like there's a negative relationship between bill depth and body mass---as bills get taller, penguins get lighter. We can create a regression model to see the exact relationship. We'll use this model: + +$$ +\widehat{\text{Body mass}} = \beta_0 + \beta_1 \text{Bill depth} + \epsilon +$$ + +```{r} +model1 <- lm(body_mass_g ~ bill_depth_mm, + data = penguins) + +nice_results1 <- tidy(model1) +nice_results1 +``` + +Based on this model, a 1-mm increase in bill depth is associated with a `r round(filter(nice_results1, term == "bill_depth_mm")$estimate, 1)` gram decrease in body weight, on average. + +However, that's wrong! The coefficient for $\beta_1$ is negative here, but we're not accounting for species. If we look at the original scatterplot, the trend line does go down, but if we color the points by species, we can see that the relationship is actually positive *within* species. + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, y = body_mass_g, color = species)) + + geom_point() + + geom_smooth(method = "lm") + + geom_smooth(aes(color = NULL), method = "lm", color = "darkred") + + scale_color_viridis_d(option = "plasma") + + labs(x = "Bill depth (mm)", y = "Body mass (g)", color = "Species") + + theme_minimal() +``` + +The dark red line shows the trend when not considering species, while the yellow, purple, and blue lines show the within-species trends. The directions reverse! This is a great example of something called Simpson's Paradox, which [according to Wikipedia](https://en.wikipedia.org/wiki/Simpson%27s_paradox) means that + +> …a trend appears in several groups of data but disappears or reverses when the groups are combined. + +If we control for species in a new regression model, we can see the positive relationship between bill depth and body mass. Here's the new model: + +$$ +\widehat{\text{Body mass}} = \beta_0 + \beta_1 \text{Bill depth} + \beta_2 \text{Species} + \epsilon +$$ + +```{r} +model2 <- lm(body_mass_g ~ bill_depth_mm + species, + data = penguins) + +nice_results2 <- tidy(model2) +nice_results2 +``` + +It worked! After controlling for species, on average, a 1-mm increase in bill depth is associated with a `r round(filter(nice_results2, term == "bill_depth_mm")$estimate, 1)` gram *increase* in weight. Also, interestingly, the coefficients for Chinstrap and Gentoo penguins show the trends across these species' weights. Compared to Adelie penguins, Chinstrap penguins are only `r round(filter(nice_results2, term == "speciesChinstrap")$estimate, 1)` grams heavier, while Gentoo penguins are `r comma(filter(nice_results2, term == "speciesGentoo")$estimate, 1)` grams heavier than Adelie penguins, on average. + + +# Conclusion + +Therefore, Gentoo penguins are neat. They + +1. only live on Biscoe Island +2. are heavier than their Chinstrap and Adelie counterparts---they're the chonky bois of the penguin world +3. have short bills, height-wise + +Also, there seems to be a fairly strong relationship between bill depth and body weight. Within all three species, penguins with taller bills tend to be heavier. This relationship can get hidden by Simpson's Paradox if we don't look at within-species trends though. + +The end. + +![Penguins!](img/lter_penguins.png) diff --git a/docs/_site/projects/01-class/04_visualizing-data.Rmd b/docs/_site/projects/01-class/04_visualizing-data.Rmd new file mode 100644 index 00000000..8db58795 --- /dev/null +++ b/docs/_site/projects/01-class/04_visualizing-data.Rmd @@ -0,0 +1,100 @@ +--- +title: "Visualizing data with ggplot" +output: html_document +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, dplyr, and friends + +mpg <- read_csv("data/mpg.csv") # Load data +``` + +## Figuring out what's in the data + +```{r} +mpg +``` + +## Basic ggplot code + +Run this code from the the slide to make a graph. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = displ, y = hwy)) +``` + +## ggplot playground + +Add `color`, `size`, `alpha`, or `shape` aesthetics to your graph. Experiment. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = displ, y = hwy)) +``` + +## Switching geoms + +Replace this scatterplot with one that draws boxplots. Use the cheatsheet. Try your best guess. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = class, y = hwy)) +``` + +## Histograms + +Make a histogram of the `hwy` variable from `mpg`. + +```{r} +ggplot(data = mpg) +``` + +## Density plots + +Make a density plot `hwy` colored by `class`. + +```{r} +ggplot(data = mpg) +``` + +## Complex plots + +Predict what this code will do. Then run it. + +```{r} +ggplot(mpg) + + geom_point(aes(displ, hwy)) + + geom_smooth(aes(displ, hwy)) +``` + +--- + +## Fancy completed plot from slides + +```{r message=FALSE} +ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) + + geom_point() + + geom_smooth(method = "lm") + + scale_color_viridis_d() + + facet_wrap(vars(drv), ncol = 1) + + labs(x = "Displacement", y = "Highway MPG", + color = "Drive", + title = "Heavier cars get lower mileage", + subtitle = "Displacement indicates weight(?)", + caption = "I know nothing about cars") + + theme_bw() + + theme(legend.position = "bottom", + plot.title = element_text(face = "bold")) +``` + +--- + +## Takeaways + +You can use this code template to any kind of graph with **ggplot2**. + +```{r eval=FALSE} +ggplot(data = ) + + (mapping = aes()) +``` diff --git a/docs/_site/projects/01-class/05_manipulating-data.Rmd b/docs/_site/projects/01-class/05_manipulating-data.Rmd new file mode 100644 index 00000000..7a13cf27 --- /dev/null +++ b/docs/_site/projects/01-class/05_manipulating-data.Rmd @@ -0,0 +1,112 @@ +--- +title: "Manipulating data with dplyr" +output: html_document +--- + + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, dplyr, and friends + +gapminder <- read_csv("data/gapminder.csv") +``` + +## gapminder + +```{r} +gapminder +``` + + +## Your turn 1 + +- `filter()` selects rows based on logical tests + +The data for Canada: + +```{r} +filter(gapminder, country == "New Zealand") +``` + +All data for countries in Oceania: + +```{r} +filter(gapminder, country == "New Zealand") +``` + +Rows where the life expectancy is greater than 82: + +```{r} +filter(gapminder, country == "New Zealand") +``` + + +## Your turn 2 + +Canada before 1970: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + +Countries where life expectancy in 2007 is below 50: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + +Countries where life expectancy in 2007 is below 50, and are not in Africa: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + + +## Your turn 3 + +Write code to: + +- Add an `africa` column that is TRUE if the country is on the African continent +- Add a column for logged GDP per capita (hint: use `log()`) +- Add an `africa_asia` column that says “Africa or Asia” if the country is in Africa or Asia, and “Not Africa or Asia” if it’s not + +```{r} +mutate(gapminder) +``` + + +## Your turn 4 + +Use `summarize()` to compute four statistics about the data: + +- The first (minimum) year in the dataset +- The last (maximum) year in the dataset +- The number of rows in the dataset (use the cheatsheet) +- The number of distinct countries in the dataset (use the cheatsheet) + +```{r} +gapminder +``` + + +## Your turn 5 + +Use `filter()` and `summarize()` to calculate the (1) the number of unique countries and (2) the median life expectancy on the African continent in 2007. + +```{r} +gapminder +``` + + +## Your turn 6 + +Find the minimum, maximum, and median life expectancy for each continent. + +```{r} +gapminder +``` + +Find the minimum, maximum, and median life expectancy for each continent in 2007 only. + +```{r} +gapminder +``` diff --git a/docs/_site/projects/01-class/answers/example.md b/docs/_site/projects/01-class/answers/example.md new file mode 100644 index 00000000..47298885 --- /dev/null +++ b/docs/_site/projects/01-class/answers/example.md @@ -0,0 +1,79 @@ +--- +title: "Example paper from regular Markdown" +author: "Your name" +date: "August 23, 2021" +output: + pdf_document: default + word_document: default +bibliography: references.bib +csl: csl/chicago-author-date.csl +abstract: Here's an important abstract for this important paper. +--- + +![A Tale of Two Cities](img/totc-cover.jpg) + +**It was the best of times, it was the worst of times**,[^note] it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only [@Huntington-Klein:2021]. + +[^note]: This is a super famous part. + +> There were a king with a large jaw and a queen with a plain face, on the throne of England; there were a king with a large jaw and a queen with a fair face, on the throne of France. In both countries it was clearer than crystal to the lords of the State preserves of loaves and fishes, that things in general were settled for ever. + +It was the year of Our Lord one thousand seven hundred and seventy-five. Spiritual revelations were conceded to England at that favoured period, as at this. Mrs. Southcott had recently attained her five-and-twentieth blessed birthday, of whom a prophetic private in the Life Guards had heralded the sublime appearance by announcing that arrangements were made for the swallowing up of London and Westminster. Even the Cock-lane ghost had been laid only a round dozen of years, after rapping out its messages, as the spirits of this very year last past (supernaturally deficient in originality) rapped out theirs. `Mere messages in the earthly order of events` had lately come to the English Crown and People, from a congress of British subjects in America: which, strange to relate, have proved more important to the human race than any communications yet received through any of the chickens of the Cock-lane brood. + +# Main heading + +France, *less favoured on the whole as to matters spiritual than her sister of the shield and trident*, rolled with exceeding smoothness down hill, making paper money and spending it. Under the guidance of her Christian pastors, she entertained herself, besides, with such humane achievements as sentencing a youth to have his hands cut off, his tongue torn out with pincers, and his body burned alive, because he had not kneeled down in the rain to do honour to a dirty procession of monks which passed within his view, at a distance of some fifty or sixty yards. It is likely enough that, rooted in the woods of France and Norway, there were growing trees, when that sufferer was put to death, already marked by the Woodman, Fate, to come down and be sawn into boards, to make a certain movable framework with a sack and a knife in it, terrible in history. + +It is likely enough that in the rough outhouses of some tillers of the heavy lands adjacent to Paris, there were sheltered from the weather that very day: + +- rude carts +- bespattered with rustic mire +- snuffed about by pigs, +- and roosted in by poultry, which the Farmer, Death, had already set apart to be his tumbrils of the Revolution. + +But that Woodman and that Farmer, though they work unceasingly, work silently, and no one heard them as they went about with muffled tread: the rather, forasmuch as to entertain any suspicion that they were awake, was to be atheistical and traitorous. + +## A subheading + +In England, there was scarcely an amount of order and protection to justify much national boasting [@wb-eval]. Daring burglaries by armed men, and highway robberies, took place in the capital itself every night; + +1. families were publicly cautioned not to go out of town without removing their furniture to upholsterers’ warehouses for security; +2. the highwayman in the dark was a City tradesman in the light, and, being recognised and challenged by his fellow-tradesman whom he stopped in his character of “the Captain,” gallantly shot him through the head and rode away; +3. the mail was waylaid by seven robbers, and the guard shot three dead, and then got shot dead himself by the other four, “in consequence of the failure of his ammunition:” after which the mail was robbed in peace; +4. that magnificent potentate, the Lord Mayor of London, was made to stand and deliver on Turnham Green, by one highwayman, who despoiled the illustrious creature in sight of all his retinue; +5. prisoners in London gaols fought battles with their turnkeys, and the majesty of the law fired blunderbusses in among them, loaded with rounds of shot and ball; +6. thieves snipped off diamond crosses from the necks of noble lords at Court drawing-rooms; +7. musketeers went into St. Giles’s, to search for contraband goods, and the mob fired on the musketeers, and the musketeers fired on the mob, and nobody thought any of these occurrences much out of the common way. + +In the midst of them, the hangman, ever busy and ever worse than useless, was in constant requisition; now, stringing up long rows of miscellaneous criminals; now, hanging a housebreaker on Saturday who had been taken on Tuesday; now, burning people in the hand at Newgate by the dozen, and now burning pamphlets at the door of Westminster Hall; to-day, taking the life of an atrocious murderer, and to-morrow of a wretched pilferer who had robbed a farmer’s boy of sixpence [@ChaudhryHeiss:2021] + +## Another subheading + +All these things, and a thousand like them, came to pass in and close upon the dear old year one thousand seven hundred and seventy-five. Environed by them, while the Woodman and the Farmer worked unheeded, those two of the large jaws, and those other two of the plain and the fair faces, trod with stir enough, and carried their divine rights with a high hand. Thus did the year one thousand seven hundred and seventy-five conduct their Greatnesses, and myriads of small creatures—the creatures of this chronicle among the rest—along the roads that lay before them. + +# An important heading + +It was the Dover road that lay, on a Friday night late in November, before the first of the persons with whom this history has business. The Dover road lay, as to him, beyond the Dover mail, as it lumbered up Shooter’s Hill. He walked up hill in the mire by the side of the mail, as the rest of the passengers did; not because they had the least relish for walking exercise, under the circumstances, but because the hill, and the harness, and the mud, and the mail, were all so heavy, that the horses had three times already come to a stop, besides once drawing the coach across the road, with the mutinous intent of taking it back to Blackheath. Reins and whip and coachman and guard, however, in combination, had read that article of war which forbade a purpose otherwise strongly in favour of the argument, that some brute animals are endued with Reason; and the team had capitulated and returned to their duty. + +Some math! Here's some math in the middle of a sentence, like $a^2 + b^2 = c^2$, and here's some in a standalone equation: + +$$ +y = mx + b +$$ + +A table! + +| Thing | Status | +| :---- | :----- | +| Times | Best | +| Times | Worst | +| Age | Wisdom | +| Age | Foolishness| + +Table: Things and their contradictory adjectives in *A Tale of Two Cities* + +# Conclusion + +Two other passengers, besides the one, were plodding up the hill by the side of the mail. All three were wrapped to the cheekbones and over the ears, and wore jack-boots. Not one of the three could have said, from anything he saw, what either of the other two was like; and each was hidden under almost as many wrappers from the eyes of the mind, as from the eyes of the body, of his two companions. + +# References diff --git a/docs/_site/projects/01-class/csl/apa.csl b/docs/_site/projects/01-class/csl/apa.csl new file mode 100644 index 00000000..4cfe07d5 --- /dev/null +++ b/docs/_site/projects/01-class/csl/apa.csl @@ -0,0 +1,1916 @@ + + diff --git a/docs/_site/projects/01-class/csl/chicago-author-date.csl b/docs/_site/projects/01-class/csl/chicago-author-date.csl new file mode 100644 index 00000000..e2c157fc --- /dev/null +++ b/docs/_site/projects/01-class/csl/chicago-author-date.csl @@ -0,0 +1,658 @@ + + diff --git a/docs/_site/projects/01-class/csl/chicago-note-bibliography.csl b/docs/_site/projects/01-class/csl/chicago-note-bibliography.csl new file mode 100644 index 00000000..4c7806c1 --- /dev/null +++ b/docs/_site/projects/01-class/csl/chicago-note-bibliography.csl @@ -0,0 +1,1417 @@ + + diff --git a/docs/_site/projects/01-class/data/gapminder.csv b/docs/_site/projects/01-class/data/gapminder.csv new file mode 100644 index 00000000..7e643799 --- /dev/null +++ b/docs/_site/projects/01-class/data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 +Algeria,Africa,1977,58.014,17152804,4910.416756 +Algeria,Africa,1982,61.368,20033753,5745.160213 +Algeria,Africa,1987,65.799,23254956,5681.358539 +Algeria,Africa,1992,67.744,26298373,5023.216647 +Algeria,Africa,1997,69.152,29072015,4797.295051 +Algeria,Africa,2002,70.994,31287142,5288.040382 +Algeria,Africa,2007,72.301,33333216,6223.367465 +Angola,Africa,1952,30.015,4232095,3520.610273 +Angola,Africa,1957,31.999,4561361,3827.940465 +Angola,Africa,1962,34,4826015,4269.276742 +Angola,Africa,1967,35.985,5247469,5522.776375 +Angola,Africa,1972,37.928,5894858,5473.288005 +Angola,Africa,1977,39.483,6162675,3008.647355 +Angola,Africa,1982,39.942,7016384,2756.953672 +Angola,Africa,1987,39.906,7874230,2430.208311 +Angola,Africa,1992,40.647,8735988,2627.845685 +Angola,Africa,1997,40.963,9875024,2277.140884 +Angola,Africa,2002,41.003,10866106,2773.287312 +Angola,Africa,2007,42.731,12420476,4797.231267 +Argentina,Americas,1952,62.485,17876956,5911.315053 +Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 +Australia,Oceania,1992,77.56,17481977,23424.76683 +Australia,Oceania,1997,78.83,18565243,26997.93657 +Australia,Oceania,2002,80.37,19546792,30687.75473 +Australia,Oceania,2007,81.235,20434176,34435.36744 +Austria,Europe,1952,66.8,6927772,6137.076492 +Austria,Europe,1957,67.48,6965860,8842.59803 +Austria,Europe,1962,69.54,7129864,10750.72111 +Austria,Europe,1967,70.14,7376998,12834.6024 +Austria,Europe,1972,70.63,7544201,16661.6256 +Austria,Europe,1977,72.17,7568430,19749.4223 +Austria,Europe,1982,73.18,7574613,21597.08362 +Austria,Europe,1987,74.94,7578903,23687.82607 +Austria,Europe,1992,76.04,7914969,27042.01868 +Austria,Europe,1997,77.51,8069876,29095.92066 +Austria,Europe,2002,78.98,8148312,32417.60769 +Austria,Europe,2007,79.829,8199783,36126.4927 +Bahrain,Asia,1952,50.939,120447,9867.084765 +Bahrain,Asia,1957,53.832,138655,11635.79945 +Bahrain,Asia,1962,56.923,171863,12753.27514 +Bahrain,Asia,1967,59.923,202182,14804.6727 +Bahrain,Asia,1972,63.3,230800,18268.65839 +Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 +Belgium,Europe,1957,69.24,8989111,9714.960623 +Belgium,Europe,1962,70.25,9218400,10991.20676 +Belgium,Europe,1967,70.94,9556500,13149.04119 +Belgium,Europe,1972,71.44,9709100,16672.14356 +Belgium,Europe,1977,72.8,9821800,19117.97448 +Belgium,Europe,1982,73.93,9856303,20979.84589 +Belgium,Europe,1987,75.35,9870200,22525.56308 +Belgium,Europe,1992,76.46,10045622,25575.57069 +Belgium,Europe,1997,77.53,10199787,27561.19663 +Belgium,Europe,2002,78.32,10311970,30485.88375 +Belgium,Europe,2007,79.441,10392226,33692.60508 +Benin,Africa,1952,38.223,1738315,1062.7522 +Benin,Africa,1957,40.358,1925173,959.6010805 +Benin,Africa,1962,42.618,2151895,949.4990641 +Benin,Africa,1967,44.885,2427334,1035.831411 +Benin,Africa,1972,47.014,2761407,1085.796879 +Benin,Africa,1977,49.19,3168267,1029.161251 +Benin,Africa,1982,50.904,3641603,1277.897616 +Benin,Africa,1987,52.337,4243788,1225.85601 +Benin,Africa,1992,53.919,4981671,1191.207681 +Benin,Africa,1997,54.777,6066080,1232.975292 +Benin,Africa,2002,54.406,7026113,1372.877931 +Benin,Africa,2007,56.728,8078314,1441.284873 +Bolivia,Americas,1952,40.414,2883315,2677.326347 +Bolivia,Americas,1957,41.89,3211738,2127.686326 +Bolivia,Americas,1962,43.428,3593918,2180.972546 +Bolivia,Americas,1967,45.032,4040665,2586.886053 +Bolivia,Americas,1972,46.714,4565872,2980.331339 +Bolivia,Americas,1977,50.023,5079716,3548.097832 +Bolivia,Americas,1982,53.859,5642224,3156.510452 +Bolivia,Americas,1987,57.251,6156369,2753.69149 +Bolivia,Americas,1992,59.957,6893451,2961.699694 +Bolivia,Americas,1997,62.05,7693188,3326.143191 +Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 +Botswana,Africa,1952,47.622,442308,851.2411407 +Botswana,Africa,1957,49.618,474639,918.2325349 +Botswana,Africa,1962,51.52,512764,983.6539764 +Botswana,Africa,1967,53.298,553541,1214.709294 +Botswana,Africa,1972,56.024,619351,2263.611114 +Botswana,Africa,1977,59.319,781472,3214.857818 +Botswana,Africa,1982,61.484,970347,4551.14215 +Botswana,Africa,1987,63.622,1151184,6205.88385 +Botswana,Africa,1992,62.745,1342614,7954.111645 +Botswana,Africa,1997,52.556,1536536,8647.142313 +Botswana,Africa,2002,46.634,1630347,11003.60508 +Botswana,Africa,2007,50.728,1639131,12569.85177 +Brazil,Americas,1952,50.917,56602560,2108.944355 +Brazil,Americas,1957,53.285,65551171,2487.365989 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Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 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+Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 +Germany,Europe,1977,72.5,78160773,20512.92123 +Germany,Europe,1982,73.8,78335266,22031.53274 +Germany,Europe,1987,74.847,77718298,24639.18566 +Germany,Europe,1992,76.07,80597764,26505.30317 +Germany,Europe,1997,77.34,82011073,27788.88416 +Germany,Europe,2002,78.67,82350671,30035.80198 +Germany,Europe,2007,79.406,82400996,32170.37442 +Ghana,Africa,1952,43.149,5581001,911.2989371 +Ghana,Africa,1957,44.779,6391288,1043.561537 +Ghana,Africa,1962,46.452,7355248,1190.041118 +Ghana,Africa,1967,48.072,8490213,1125.69716 +Ghana,Africa,1972,49.875,9354120,1178.223708 +Ghana,Africa,1977,51.756,10538093,993.2239571 +Ghana,Africa,1982,53.744,11400338,876.032569 +Ghana,Africa,1987,55.729,14168101,847.0061135 +Ghana,Africa,1992,57.501,16278738,925.060154 +Ghana,Africa,1997,58.556,18418288,1005.245812 +Ghana,Africa,2002,58.453,20550751,1111.984578 +Ghana,Africa,2007,60.022,22873338,1327.60891 +Greece,Europe,1952,65.86,7733250,3530.690067 +Greece,Europe,1957,67.86,8096218,4916.299889 +Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 +Guatemala,Americas,2002,68.978,11178650,4858.347495 +Guatemala,Americas,2007,70.259,12572928,5186.050003 +Guinea,Africa,1952,33.609,2664249,510.1964923 +Guinea,Africa,1957,34.558,2876726,576.2670245 +Guinea,Africa,1962,35.753,3140003,686.3736739 +Guinea,Africa,1967,37.197,3451418,708.7595409 +Guinea,Africa,1972,38.842,3811387,741.6662307 +Guinea,Africa,1977,40.762,4227026,874.6858643 +Guinea,Africa,1982,42.891,4710497,857.2503577 +Guinea,Africa,1987,45.552,5650262,805.5724718 +Guinea,Africa,1992,48.576,6990574,794.3484384 +Guinea,Africa,1997,51.455,8048834,869.4497668 +Guinea,Africa,2002,53.676,8807818,945.5835837 +Guinea,Africa,2007,56.007,9947814,942.6542111 +Guinea-Bissau,Africa,1952,32.5,580653,299.850319 +Guinea-Bissau,Africa,1957,33.489,601095,431.7904566 +Guinea-Bissau,Africa,1962,34.488,627820,522.0343725 +Guinea-Bissau,Africa,1967,35.492,601287,715.5806402 +Guinea-Bissau,Africa,1972,36.486,625361,820.2245876 +Guinea-Bissau,Africa,1977,37.465,745228,764.7259628 +Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 +Italy,Europe,1982,74.98,56535636,16537.4835 +Italy,Europe,1987,76.42,56729703,19207.23482 +Italy,Europe,1992,77.44,56840847,22013.64486 +Italy,Europe,1997,78.82,57479469,24675.02446 +Italy,Europe,2002,80.24,57926999,27968.09817 +Italy,Europe,2007,80.546,58147733,28569.7197 +Jamaica,Americas,1952,58.53,1426095,2898.530881 +Jamaica,Americas,1957,62.61,1535090,4756.525781 +Jamaica,Americas,1962,65.61,1665128,5246.107524 +Jamaica,Americas,1967,67.51,1861096,6124.703451 +Jamaica,Americas,1972,69,1997616,7433.889293 +Jamaica,Americas,1977,70.11,2156814,6650.195573 +Jamaica,Americas,1982,71.21,2298309,6068.05135 +Jamaica,Americas,1987,71.77,2326606,6351.237495 +Jamaica,Americas,1992,71.766,2378618,7404.923685 +Jamaica,Americas,1997,72.262,2531311,7121.924704 +Jamaica,Americas,2002,72.047,2664659,6994.774861 +Jamaica,Americas,2007,72.567,2780132,7320.880262 +Japan,Asia,1952,63.03,86459025,3216.956347 +Japan,Asia,1957,65.5,91563009,4317.694365 +Japan,Asia,1962,68.73,95831757,6576.649461 +Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 +Kenya,Africa,1957,44.686,7454779,944.4383152 +Kenya,Africa,1962,47.949,8678557,896.9663732 +Kenya,Africa,1967,50.654,10191512,1056.736457 +Kenya,Africa,1972,53.559,12044785,1222.359968 +Kenya,Africa,1977,56.155,14500404,1267.613204 +Kenya,Africa,1982,58.766,17661452,1348.225791 +Kenya,Africa,1987,59.339,21198082,1361.936856 +Kenya,Africa,1992,59.285,25020539,1341.921721 +Kenya,Africa,1997,54.407,28263827,1360.485021 +Kenya,Africa,2002,50.992,31386842,1287.514732 +Kenya,Africa,2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 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+Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 +Mauritius,Africa,1997,70.736,1149818,7425.705295 +Mauritius,Africa,2002,71.954,1200206,9021.815894 +Mauritius,Africa,2007,72.801,1250882,10956.99112 +Mexico,Americas,1952,50.789,30144317,3478.125529 +Mexico,Americas,1957,55.19,35015548,4131.546641 +Mexico,Americas,1962,58.299,41121485,4581.609385 +Mexico,Americas,1967,60.11,47995559,5754.733883 +Mexico,Americas,1972,62.361,55984294,6809.40669 +Mexico,Americas,1977,65.032,63759976,7674.929108 +Mexico,Americas,1982,67.405,71640904,9611.147541 +Mexico,Americas,1987,69.498,80122492,8688.156003 +Mexico,Americas,1992,71.455,88111030,9472.384295 +Mexico,Americas,1997,73.67,95895146,9767.29753 +Mexico,Americas,2002,74.902,102479927,10742.44053 +Mexico,Americas,2007,76.195,108700891,11977.57496 +Mongolia,Asia,1952,42.244,800663,786.5668575 +Mongolia,Asia,1957,45.248,882134,912.6626085 +Mongolia,Asia,1962,48.251,1010280,1056.353958 +Mongolia,Asia,1967,51.253,1149500,1226.04113 +Mongolia,Asia,1972,53.754,1320500,1421.741975 +Mongolia,Asia,1977,55.491,1528000,1647.511665 +Mongolia,Asia,1982,57.489,1756032,2000.603139 +Mongolia,Asia,1987,60.222,2015133,2338.008304 +Mongolia,Asia,1992,61.271,2312802,1785.402016 +Mongolia,Asia,1997,63.625,2494803,1902.2521 +Mongolia,Asia,2002,65.033,2674234,2140.739323 +Mongolia,Asia,2007,66.803,2874127,3095.772271 +Montenegro,Europe,1952,59.164,413834,2647.585601 +Montenegro,Europe,1957,61.448,442829,3682.259903 +Montenegro,Europe,1962,63.728,474528,4649.593785 +Montenegro,Europe,1967,67.178,501035,5907.850937 +Montenegro,Europe,1972,70.636,527678,7778.414017 +Montenegro,Europe,1977,73.066,560073,9595.929905 +Montenegro,Europe,1982,74.101,562548,11222.58762 +Montenegro,Europe,1987,74.865,569473,11732.51017 +Montenegro,Europe,1992,75.435,621621,7003.339037 +Montenegro,Europe,1997,75.445,692651,6465.613349 +Montenegro,Europe,2002,73.981,720230,6557.194282 +Montenegro,Europe,2007,74.543,684736,9253.896111 +Morocco,Africa,1952,42.873,9939217,1688.20357 +Morocco,Africa,1957,45.423,11406350,1642.002314 +Morocco,Africa,1962,47.924,13056604,1566.353493 +Morocco,Africa,1967,50.335,14770296,1711.04477 +Morocco,Africa,1972,52.862,16660670,1930.194975 +Morocco,Africa,1977,55.73,18396941,2370.619976 +Morocco,Africa,1982,59.65,20198730,2702.620356 +Morocco,Africa,1987,62.677,22987397,2755.046991 +Morocco,Africa,1992,65.393,25798239,2948.047252 +Morocco,Africa,1997,67.66,28529501,2982.101858 +Morocco,Africa,2002,69.615,31167783,3258.495584 +Morocco,Africa,2007,71.164,33757175,3820.17523 +Mozambique,Africa,1952,31.286,6446316,468.5260381 +Mozambique,Africa,1957,33.779,7038035,495.5868333 +Mozambique,Africa,1962,36.161,7788944,556.6863539 +Mozambique,Africa,1967,38.113,8680909,566.6691539 +Mozambique,Africa,1972,40.328,9809596,724.9178037 +Mozambique,Africa,1977,42.495,11127868,502.3197334 +Mozambique,Africa,1982,42.795,12587223,462.2114149 +Mozambique,Africa,1987,42.861,12891952,389.8761846 +Mozambique,Africa,1992,44.284,13160731,410.8968239 +Mozambique,Africa,1997,46.344,16603334,472.3460771 +Mozambique,Africa,2002,44.026,18473780,633.6179466 +Mozambique,Africa,2007,42.082,19951656,823.6856205 +Myanmar,Asia,1952,36.319,20092996,331 +Myanmar,Asia,1957,41.905,21731844,350 +Myanmar,Asia,1962,45.108,23634436,388 +Myanmar,Asia,1967,49.379,25870271,349 +Myanmar,Asia,1972,53.07,28466390,357 +Myanmar,Asia,1977,56.059,31528087,371 +Myanmar,Asia,1982,58.056,34680442,424 +Myanmar,Asia,1987,58.339,38028578,385 +Myanmar,Asia,1992,59.32,40546538,347 +Myanmar,Asia,1997,60.328,43247867,415 +Myanmar,Asia,2002,59.908,45598081,611 +Myanmar,Asia,2007,62.069,47761980,944 +Namibia,Africa,1952,41.725,485831,2423.780443 +Namibia,Africa,1957,45.226,548080,2621.448058 +Namibia,Africa,1962,48.386,621392,3173.215595 +Namibia,Africa,1967,51.159,706640,3793.694753 +Namibia,Africa,1972,53.867,821782,3746.080948 +Namibia,Africa,1977,56.437,977026,3876.485958 +Namibia,Africa,1982,58.968,1099010,4191.100511 +Namibia,Africa,1987,60.835,1278184,3693.731337 +Namibia,Africa,1992,61.999,1554253,3804.537999 +Namibia,Africa,1997,58.909,1774766,3899.52426 +Namibia,Africa,2002,51.479,1972153,4072.324751 +Namibia,Africa,2007,52.906,2055080,4811.060429 +Nepal,Asia,1952,36.157,9182536,545.8657229 +Nepal,Asia,1957,37.686,9682338,597.9363558 +Nepal,Asia,1962,39.393,10332057,652.3968593 +Nepal,Asia,1967,41.472,11261690,676.4422254 +Nepal,Asia,1972,43.971,12412593,674.7881296 +Nepal,Asia,1977,46.748,13933198,694.1124398 +Nepal,Asia,1982,49.594,15796314,718.3730947 +Nepal,Asia,1987,52.537,17917180,775.6324501 +Nepal,Asia,1992,55.727,20326209,897.7403604 +Nepal,Asia,1997,59.426,23001113,1010.892138 +Nepal,Asia,2002,61.34,25873917,1057.206311 +Nepal,Asia,2007,63.785,28901790,1091.359778 +Netherlands,Europe,1952,72.13,10381988,8941.571858 +Netherlands,Europe,1957,72.99,11026383,11276.19344 +Netherlands,Europe,1962,73.23,11805689,12790.84956 +Netherlands,Europe,1967,73.82,12596822,15363.25136 +Netherlands,Europe,1972,73.75,13329874,18794.74567 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Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 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+Swaziland,Africa,2007,39.613,1133066,4513.480643 +Sweden,Europe,1952,71.86,7124673,8527.844662 +Sweden,Europe,1957,72.49,7363802,9911.878226 +Sweden,Europe,1962,73.37,7561588,12329.44192 +Sweden,Europe,1967,74.16,7867931,15258.29697 +Sweden,Europe,1972,74.72,8122293,17832.02464 +Sweden,Europe,1977,75.44,8251648,18855.72521 +Sweden,Europe,1982,76.42,8325260,20667.38125 +Sweden,Europe,1987,77.19,8421403,23586.92927 +Sweden,Europe,1992,78.16,8718867,23880.01683 +Sweden,Europe,1997,79.39,8897619,25266.59499 +Sweden,Europe,2002,80.04,8954175,29341.63093 +Sweden,Europe,2007,80.884,9031088,33859.74835 +Switzerland,Europe,1952,69.62,4815000,14734.23275 +Switzerland,Europe,1957,70.56,5126000,17909.48973 +Switzerland,Europe,1962,71.32,5666000,20431.0927 +Switzerland,Europe,1967,72.77,6063000,22966.14432 +Switzerland,Europe,1972,73.78,6401400,27195.11304 +Switzerland,Europe,1977,75.39,6316424,26982.29052 +Switzerland,Europe,1982,76.21,6468126,28397.71512 +Switzerland,Europe,1987,77.41,6649942,30281.70459 +Switzerland,Europe,1992,78.03,6995447,31871.5303 +Switzerland,Europe,1997,79.37,7193761,32135.32301 +Switzerland,Europe,2002,80.62,7361757,34480.95771 +Switzerland,Europe,2007,81.701,7554661,37506.41907 +Syria,Asia,1952,45.883,3661549,1643.485354 +Syria,Asia,1957,48.284,4149908,2117.234893 +Syria,Asia,1962,50.305,4834621,2193.037133 +Syria,Asia,1967,53.655,5680812,1881.923632 +Syria,Asia,1972,57.296,6701172,2571.423014 +Syria,Asia,1977,61.195,7932503,3195.484582 +Syria,Asia,1982,64.59,9410494,3761.837715 +Syria,Asia,1987,66.974,11242847,3116.774285 +Syria,Asia,1992,69.249,13219062,3340.542768 +Syria,Asia,1997,71.527,15081016,4014.238972 +Syria,Asia,2002,73.053,17155814,4090.925331 +Syria,Asia,2007,74.143,19314747,4184.548089 +Taiwan,Asia,1952,58.5,8550362,1206.947913 +Taiwan,Asia,1957,62.4,10164215,1507.86129 +Taiwan,Asia,1962,65.2,11918938,1822.879028 +Taiwan,Asia,1967,67.5,13648692,2643.858681 +Taiwan,Asia,1972,69.39,15226039,4062.523897 +Taiwan,Asia,1977,70.59,16785196,5596.519826 +Taiwan,Asia,1982,72.16,18501390,7426.354774 +Taiwan,Asia,1987,73.4,19757799,11054.56175 +Taiwan,Asia,1992,74.26,20686918,15215.6579 +Taiwan,Asia,1997,75.25,21628605,20206.82098 +Taiwan,Asia,2002,76.99,22454239,23235.42329 +Taiwan,Asia,2007,78.4,23174294,28718.27684 +Tanzania,Africa,1952,41.215,8322925,716.6500721 +Tanzania,Africa,1957,42.974,9452826,698.5356073 +Tanzania,Africa,1962,44.246,10863958,722.0038073 +Tanzania,Africa,1967,45.757,12607312,848.2186575 +Tanzania,Africa,1972,47.62,14706593,915.9850592 +Tanzania,Africa,1977,49.919,17129565,962.4922932 +Tanzania,Africa,1982,50.608,19844382,874.2426069 +Tanzania,Africa,1987,51.535,23040630,831.8220794 +Tanzania,Africa,1992,50.44,26605473,825.682454 +Tanzania,Africa,1997,48.466,30686889,789.1862231 +Tanzania,Africa,2002,49.651,34593779,899.0742111 +Tanzania,Africa,2007,52.517,38139640,1107.482182 +Thailand,Asia,1952,50.848,21289402,757.7974177 +Thailand,Asia,1957,53.63,25041917,793.5774148 +Thailand,Asia,1962,56.061,29263397,1002.199172 +Thailand,Asia,1967,58.285,34024249,1295.46066 +Thailand,Asia,1972,60.405,39276153,1524.358936 +Thailand,Asia,1977,62.494,44148285,1961.224635 +Thailand,Asia,1982,64.597,48827160,2393.219781 +Thailand,Asia,1987,66.084,52910342,2982.653773 +Thailand,Asia,1992,67.298,56667095,4616.896545 +Thailand,Asia,1997,67.521,60216677,5852.625497 +Thailand,Asia,2002,68.564,62806748,5913.187529 +Thailand,Asia,2007,70.616,65068149,7458.396327 +Togo,Africa,1952,38.596,1219113,859.8086567 +Togo,Africa,1957,41.208,1357445,925.9083202 +Togo,Africa,1962,43.922,1528098,1067.53481 +Togo,Africa,1967,46.769,1735550,1477.59676 +Togo,Africa,1972,49.759,2056351,1649.660188 +Togo,Africa,1977,52.887,2308582,1532.776998 +Togo,Africa,1982,55.471,2644765,1344.577953 +Togo,Africa,1987,56.941,3154264,1202.201361 +Togo,Africa,1992,58.061,3747553,1034.298904 +Togo,Africa,1997,58.39,4320890,982.2869243 +Togo,Africa,2002,57.561,4977378,886.2205765 +Togo,Africa,2007,58.42,5701579,882.9699438 +Trinidad and Tobago,Americas,1952,59.1,662850,3023.271928 +Trinidad and Tobago,Americas,1957,61.8,764900,4100.3934 +Trinidad and Tobago,Americas,1962,64.9,887498,4997.523971 +Trinidad and Tobago,Americas,1967,65.4,960155,5621.368472 +Trinidad and Tobago,Americas,1972,65.9,975199,6619.551419 +Trinidad and Tobago,Americas,1977,68.3,1039009,7899.554209 +Trinidad and Tobago,Americas,1982,68.832,1116479,9119.528607 +Trinidad and Tobago,Americas,1987,69.582,1191336,7388.597823 +Trinidad and Tobago,Americas,1992,69.862,1183669,7370.990932 +Trinidad and Tobago,Americas,1997,69.465,1138101,8792.573126 +Trinidad and Tobago,Americas,2002,68.976,1101832,11460.60023 +Trinidad and Tobago,Americas,2007,69.819,1056608,18008.50924 +Tunisia,Africa,1952,44.6,3647735,1468.475631 +Tunisia,Africa,1957,47.1,3950849,1395.232468 +Tunisia,Africa,1962,49.579,4286552,1660.30321 +Tunisia,Africa,1967,52.053,4786986,1932.360167 +Tunisia,Africa,1972,55.602,5303507,2753.285994 +Tunisia,Africa,1977,59.837,6005061,3120.876811 +Tunisia,Africa,1982,64.048,6734098,3560.233174 +Tunisia,Africa,1987,66.894,7724976,3810.419296 +Tunisia,Africa,1992,70.001,8523077,4332.720164 +Tunisia,Africa,1997,71.973,9231669,4876.798614 +Tunisia,Africa,2002,73.042,9770575,5722.895655 +Tunisia,Africa,2007,73.923,10276158,7092.923025 +Turkey,Europe,1952,43.585,22235677,1969.10098 +Turkey,Europe,1957,48.079,25670939,2218.754257 +Turkey,Europe,1962,52.098,29788695,2322.869908 +Turkey,Europe,1967,54.336,33411317,2826.356387 +Turkey,Europe,1972,57.005,37492953,3450.69638 +Turkey,Europe,1977,59.507,42404033,4269.122326 +Turkey,Europe,1982,61.036,47328791,4241.356344 +Turkey,Europe,1987,63.108,52881328,5089.043686 +Turkey,Europe,1992,66.146,58179144,5678.348271 +Turkey,Europe,1997,68.835,63047647,6601.429915 +Turkey,Europe,2002,70.845,67308928,6508.085718 +Turkey,Europe,2007,71.777,71158647,8458.276384 +Uganda,Africa,1952,39.978,5824797,734.753484 +Uganda,Africa,1957,42.571,6675501,774.3710692 +Uganda,Africa,1962,45.344,7688797,767.2717398 +Uganda,Africa,1967,48.051,8900294,908.9185217 +Uganda,Africa,1972,51.016,10190285,950.735869 +Uganda,Africa,1977,50.35,11457758,843.7331372 +Uganda,Africa,1982,49.849,12939400,682.2662268 +Uganda,Africa,1987,51.509,15283050,617.7244065 +Uganda,Africa,1992,48.825,18252190,644.1707969 +Uganda,Africa,1997,44.578,21210254,816.559081 +Uganda,Africa,2002,47.813,24739869,927.7210018 +Uganda,Africa,2007,51.542,29170398,1056.380121 +United Kingdom,Europe,1952,69.18,50430000,9979.508487 +United Kingdom,Europe,1957,70.42,51430000,11283.17795 +United Kingdom,Europe,1962,70.76,53292000,12477.17707 +United Kingdom,Europe,1967,71.36,54959000,14142.85089 +United Kingdom,Europe,1972,72.01,56079000,15895.11641 +United Kingdom,Europe,1977,72.76,56179000,17428.74846 +United Kingdom,Europe,1982,74.04,56339704,18232.42452 +United Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 +Uruguay,Americas,1952,66.071,2252965,5716.766744 +Uruguay,Americas,1957,67.044,2424959,6150.772969 +Uruguay,Americas,1962,68.253,2598466,5603.357717 +Uruguay,Americas,1967,68.468,2748579,5444.61962 +Uruguay,Americas,1972,68.673,2829526,5703.408898 +Uruguay,Americas,1977,69.481,2873520,6504.339663 +Uruguay,Americas,1982,70.805,2953997,6920.223051 +Uruguay,Americas,1987,71.918,3045153,7452.398969 +Uruguay,Americas,1992,72.752,3149262,8137.004775 +Uruguay,Americas,1997,74.223,3262838,9230.240708 +Uruguay,Americas,2002,75.307,3363085,7727.002004 +Uruguay,Americas,2007,76.384,3447496,10611.46299 +Venezuela,Americas,1952,55.088,5439568,7689.799761 +Venezuela,Americas,1957,57.907,6702668,9802.466526 +Venezuela,Americas,1962,60.77,8143375,8422.974165 +Venezuela,Americas,1967,63.479,9709552,9541.474188 +Venezuela,Americas,1972,65.712,11515649,10505.25966 +Venezuela,Americas,1977,67.456,13503563,13143.95095 +Venezuela,Americas,1982,68.557,15620766,11152.41011 +Venezuela,Americas,1987,70.19,17910182,9883.584648 +Venezuela,Americas,1992,71.15,20265563,10733.92631 +Venezuela,Americas,1997,72.146,22374398,10165.49518 +Venezuela,Americas,2002,72.766,24287670,8605.047831 +Venezuela,Americas,2007,73.747,26084662,11415.80569 +Vietnam,Asia,1952,40.412,26246839,605.0664917 +Vietnam,Asia,1957,42.887,28998543,676.2854478 +Vietnam,Asia,1962,45.363,33796140,772.0491602 +Vietnam,Asia,1967,47.838,39463910,637.1232887 +Vietnam,Asia,1972,50.254,44655014,699.5016441 +Vietnam,Asia,1977,55.764,50533506,713.5371196 +Vietnam,Asia,1982,58.816,56142181,707.2357863 +Vietnam,Asia,1987,62.82,62826491,820.7994449 +Vietnam,Asia,1992,67.662,69940728,989.0231487 +Vietnam,Asia,1997,70.672,76048996,1385.896769 +Vietnam,Asia,2002,73.017,80908147,1764.456677 +Vietnam,Asia,2007,74.249,85262356,2441.576404 +West Bank and Gaza,Asia,1952,43.16,1030585,1515.592329 +West Bank and Gaza,Asia,1957,45.671,1070439,1827.067742 +West Bank and Gaza,Asia,1962,48.127,1133134,2198.956312 +West Bank and Gaza,Asia,1967,51.631,1142636,2649.715007 +West Bank and Gaza,Asia,1972,56.532,1089572,3133.409277 +West Bank and Gaza,Asia,1977,60.765,1261091,3682.831494 +West Bank and Gaza,Asia,1982,64.406,1425876,4336.032082 +West Bank and Gaza,Asia,1987,67.046,1691210,5107.197384 +West Bank and Gaza,Asia,1992,69.718,2104779,6017.654756 +West Bank and Gaza,Asia,1997,71.096,2826046,7110.667619 +West Bank and Gaza,Asia,2002,72.37,3389578,4515.487575 +West Bank and Gaza,Asia,2007,73.422,4018332,3025.349798 +"Yemen, Rep.",Asia,1952,32.548,4963829,781.7175761 +"Yemen, Rep.",Asia,1957,33.97,5498090,804.8304547 +"Yemen, Rep.",Asia,1962,35.18,6120081,825.6232006 +"Yemen, Rep.",Asia,1967,36.984,6740785,862.4421463 +"Yemen, Rep.",Asia,1972,39.848,7407075,1265.047031 +"Yemen, Rep.",Asia,1977,44.175,8403990,1829.765177 +"Yemen, Rep.",Asia,1982,49.113,9657618,1977.55701 +"Yemen, Rep.",Asia,1987,52.922,11219340,1971.741538 +"Yemen, Rep.",Asia,1992,55.599,13367997,1879.496673 +"Yemen, Rep.",Asia,1997,58.02,15826497,2117.484526 +"Yemen, Rep.",Asia,2002,60.308,18701257,2234.820827 +"Yemen, Rep.",Asia,2007,62.698,22211743,2280.769906 +Zambia,Africa,1952,42.038,2672000,1147.388831 +Zambia,Africa,1957,44.077,3016000,1311.956766 +Zambia,Africa,1962,46.023,3421000,1452.725766 +Zambia,Africa,1967,47.768,3900000,1777.077318 +Zambia,Africa,1972,50.107,4506497,1773.498265 +Zambia,Africa,1977,51.386,5216550,1588.688299 +Zambia,Africa,1982,51.821,6100407,1408.678565 +Zambia,Africa,1987,50.821,7272406,1213.315116 +Zambia,Africa,1992,46.1,8381163,1210.884633 +Zambia,Africa,1997,40.238,9417789,1071.353818 +Zambia,Africa,2002,39.193,10595811,1071.613938 +Zambia,Africa,2007,42.384,11746035,1271.211593 +Zimbabwe,Africa,1952,48.451,3080907,406.8841148 +Zimbabwe,Africa,1957,50.469,3646340,518.7642681 +Zimbabwe,Africa,1962,52.358,4277736,527.2721818 +Zimbabwe,Africa,1967,53.995,4995432,569.7950712 +Zimbabwe,Africa,1972,55.635,5861135,799.3621758 +Zimbabwe,Africa,1977,57.674,6642107,685.5876821 +Zimbabwe,Africa,1982,60.363,7636524,788.8550411 +Zimbabwe,Africa,1987,62.351,9216418,706.1573059 +Zimbabwe,Africa,1992,60.377,10704340,693.4207856 +Zimbabwe,Africa,1997,46.809,11404948,792.4499603 +Zimbabwe,Africa,2002,39.989,11926563,672.0386227 +Zimbabwe,Africa,2007,43.487,12311143,469.7092981 diff --git a/docs/_site/projects/01-class/data/mpg.csv b/docs/_site/projects/01-class/data/mpg.csv new file mode 100644 index 00000000..e6a7d628 --- /dev/null +++ b/docs/_site/projects/01-class/data/mpg.csv @@ -0,0 +1,235 @@ +manufacturer,model,displ,year,cyl,trans,drv,cty,hwy,fl,class +audi,a4,1.8,1999,4,auto(l5),f,18,29,p,compact +audi,a4,1.8,1999,4,manual(m5),f,21,29,p,compact +audi,a4,2,2008,4,manual(m6),f,20,31,p,compact +audi,a4,2,2008,4,auto(av),f,21,30,p,compact +audi,a4,2.8,1999,6,auto(l5),f,16,26,p,compact +audi,a4,2.8,1999,6,manual(m5),f,18,26,p,compact +audi,a4,3.1,2008,6,auto(av),f,18,27,p,compact +audi,a4 quattro,1.8,1999,4,manual(m5),4,18,26,p,compact +audi,a4 quattro,1.8,1999,4,auto(l5),4,16,25,p,compact +audi,a4 quattro,2,2008,4,manual(m6),4,20,28,p,compact +audi,a4 quattro,2,2008,4,auto(s6),4,19,27,p,compact +audi,a4 quattro,2.8,1999,6,auto(l5),4,15,25,p,compact +audi,a4 quattro,2.8,1999,6,manual(m5),4,17,25,p,compact +audi,a4 quattro,3.1,2008,6,auto(s6),4,17,25,p,compact +audi,a4 quattro,3.1,2008,6,manual(m6),4,15,25,p,compact +audi,a6 quattro,2.8,1999,6,auto(l5),4,15,24,p,midsize +audi,a6 quattro,3.1,2008,6,auto(s6),4,17,25,p,midsize +audi,a6 quattro,4.2,2008,8,auto(s6),4,16,23,p,midsize +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,14,20,r,suv +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,11,15,e,suv +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,14,20,r,suv +chevrolet,c1500 suburban 2wd,5.7,1999,8,auto(l4),r,13,17,r,suv +chevrolet,c1500 suburban 2wd,6,2008,8,auto(l4),r,12,17,r,suv +chevrolet,corvette,5.7,1999,8,manual(m6),r,16,26,p,2seater +chevrolet,corvette,5.7,1999,8,auto(l4),r,15,23,p,2seater +chevrolet,corvette,6.2,2008,8,manual(m6),r,16,26,p,2seater +chevrolet,corvette,6.2,2008,8,auto(s6),r,15,25,p,2seater +chevrolet,corvette,7,2008,8,manual(m6),r,15,24,p,2seater +chevrolet,k1500 tahoe 4wd,5.3,2008,8,auto(l4),4,14,19,r,suv +chevrolet,k1500 tahoe 4wd,5.3,2008,8,auto(l4),4,11,14,e,suv +chevrolet,k1500 tahoe 4wd,5.7,1999,8,auto(l4),4,11,15,r,suv +chevrolet,k1500 tahoe 4wd,6.5,1999,8,auto(l4),4,14,17,d,suv +chevrolet,malibu,2.4,1999,4,auto(l4),f,19,27,r,midsize +chevrolet,malibu,2.4,2008,4,auto(l4),f,22,30,r,midsize +chevrolet,malibu,3.1,1999,6,auto(l4),f,18,26,r,midsize +chevrolet,malibu,3.5,2008,6,auto(l4),f,18,29,r,midsize +chevrolet,malibu,3.6,2008,6,auto(s6),f,17,26,r,midsize +dodge,caravan 2wd,2.4,1999,4,auto(l3),f,18,24,r,minivan +dodge,caravan 2wd,3,1999,6,auto(l4),f,17,24,r,minivan +dodge,caravan 2wd,3.3,1999,6,auto(l4),f,16,22,r,minivan +dodge,caravan 2wd,3.3,1999,6,auto(l4),f,16,22,r,minivan +dodge,caravan 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+Chinstrap,Dream,45.7,17,195,3650,female,2009 +Chinstrap,Dream,55.8,19.8,207,4000,male,2009 +Chinstrap,Dream,43.5,18.1,202,3400,female,2009 +Chinstrap,Dream,49.6,18.2,193,3775,male,2009 +Chinstrap,Dream,50.8,19,210,4100,male,2009 +Chinstrap,Dream,50.2,18.7,198,3775,female,2009 diff --git a/docs/_site/projects/01-class/img/culmen_depth.png b/docs/_site/projects/01-class/img/culmen_depth.png new file mode 100644 index 00000000..3fe2147f Binary files /dev/null and b/docs/_site/projects/01-class/img/culmen_depth.png differ diff --git a/docs/_site/projects/01-class/img/lter_penguins.png b/docs/_site/projects/01-class/img/lter_penguins.png new file mode 100644 index 00000000..736ae89b Binary files /dev/null and b/docs/_site/projects/01-class/img/lter_penguins.png differ diff --git a/docs/_site/projects/01-class/img/totc-cover.jpg b/docs/_site/projects/01-class/img/totc-cover.jpg new file mode 100644 index 00000000..5f4059cc Binary files /dev/null and b/docs/_site/projects/01-class/img/totc-cover.jpg differ diff --git a/docs/_site/projects/01-class/recreate_me.pdf b/docs/_site/projects/01-class/recreate_me.pdf new file mode 100644 index 00000000..51d92281 Binary files /dev/null and b/docs/_site/projects/01-class/recreate_me.pdf differ diff --git a/docs/_site/projects/01-class/references.bib b/docs/_site/projects/01-class/references.bib new file mode 100644 index 00000000..ff70526e --- /dev/null +++ b/docs/_site/projects/01-class/references.bib @@ -0,0 +1,47 @@ +@book{wb-eval, + author = {Paul J. Gertler and Sebastian Martinez and Patrick Premand and Laura B. Rawlings and Christel M. J. Vermeersch}, + date-added = {2021-08-23 14:20:05 -0400}, + date-modified = {2021-08-23 14:20:05 -0400}, + edition = {2}, + publisher = {Inter-American Development Bank and World Bank}, + title = {Impact Evaluation in Practice}, + url = {https://openknowledge.worldbank.org/handle/10986/25030}, + year = {2016}, + Bdsk-Url-1 = {https://openknowledge.worldbank.org/handle/10986/25030}} + +@book{Huntington-Klein:2021, + address = {Boca Raton, Florida}, + author = {Nick Huntington-Klein}, + date-added = {2021-08-23 14:20:00 -0400}, + date-modified = {2021-08-23 14:20:00 -0400}, + publisher = {{Chapman and Hall} / CRC}, + title = {The Effect: An Introduction to Research Design and Causality}, + url = {https://theeffectbook.net/}, + year = {2021}, + Bdsk-Url-1 = {https://theeffectbook.net/}} + +@article{ChaudhryHeiss:2021, + author = {Suparna Chaudhry and Andrew Heiss}, + date-added = {2021-08-23 14:19:19 -0400}, + date-modified = {2021-08-23 14:19:19 -0400}, + doi = {10.1177/0899764020971045}, + journal = {Nonprofit and Voluntary Sector Quarterly}, + month = {6}, + number = {3}, + pages = {481--505}, + title = {Dynamics of International Giving: How Heuristics Shape Individual Donor Preferences}, + volume = {50}, + year = {2021}, + Bdsk-Url-1 = {https://doi.org/10.1177/0899764020971045}} + +@article{HeissKelley:2017, + author = {Andrew Heiss and Judith G. Kelley}, + doi = {10.1086/691218}, + journal = {Journal of Politics}, + month = {4}, + number = {2}, + pages = {732--741}, + title = {Between a Rock and a Hard Place: International {NGOs} and the Dual Pressures of Donors and Host Governments}, + volume = {79}, + year = {2017}, + Bdsk-Url-1 = {https://doi.org/10.1086/691218}} diff --git a/docs/_site/projects/background-theory/background-theory.Rproj b/docs/_site/projects/background-theory/background-theory.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/background-theory/background-theory.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/background-theory/figures/placeholder.png b/docs/_site/projects/background-theory/figures/placeholder.png new file mode 100644 index 00000000..5c05ed54 Binary files /dev/null and b/docs/_site/projects/background-theory/figures/placeholder.png differ diff --git a/docs/_site/projects/background-theory/your-name_background-theory.Rmd b/docs/_site/projects/background-theory/your-name_background-theory.Rmd new file mode 100644 index 00000000..1289409d --- /dev/null +++ b/docs/_site/projects/background-theory/your-name_background-theory.Rmd @@ -0,0 +1,68 @@ +--- +title: "Background and theory" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +# 1: Program background and purpose + +*(≈350 words)* + +Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn’t started yet, explain why it’s under consideration. Make sure you cite your sources appropriately! (In the past, some students have just copied/pasted text from a program's website; don't do that! Describe and analyze the program's background!) + + +# 2: Program theory + +*(≈400 words)* + +Explain and explore the program’s underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don’t and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. + +Include a simple impact theory graph showing the program’s basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. + +![My neat impact theory](figures/placeholder.png) + + +# 3: Logic model + +List every possible input, activity, output, and outcome for the program and provide a brief 1–2 sentence description of each. + +## Inputs + +- Something +- Something else + +## Activities + +- Something +- Something else + +## Outputs + +- Something +- Something else + +## Outcomes + +- Something +- Something else + +## Diagram + +Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Remember that inputs will always feed into activities, and that activities always produce outputs (that's the whole purpose of an activity: convert an input to an output). Include this as a figure. + +![My neat logic model](figures/placeholder.png) + + +# 4: Analysis + +*(≈150 words)* + +Evaluate how well the logic model relates to the program theory. Do the inputs, activities, and outputs have a logical, well-grounded connection to the intended outcomes? Under ideal conditions, would the components of the program lead to changes or lasting effects? diff --git a/docs/_site/projects/causal-model/causal-model.Rproj b/docs/_site/projects/causal-model/causal-model.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/causal-model/causal-model.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/assignment/03-eval-dag.qmd b/docs/_site/projects/causal-model/your-name_causal-model.Rmd similarity index 67% rename from assignment/03-eval-dag.qmd rename to docs/_site/projects/causal-model/your-name_causal-model.Rmd index 447a3f01..2d0b945d 100644 --- a/assignment/03-eval-dag.qmd +++ b/docs/_site/projects/causal-model/your-name_causal-model.Rmd @@ -1,40 +1,40 @@ --- -title: "Causal model" -date: "2023-02-16" +title: "Causal models" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes --- -For your [final project](/assignment/final-project.qmd), you will conduct an evaluation for a social program of your choosing. In this assignment, you will decide how to model the causal effect of your program on your primary outcome. - -If you decide to use a different program for your final project, that's okay! This assignment doesn't have to be related to your final program, but it would be extraordinarily helpful—a more polished version of this assignment can be included as part of your final project. - - -## Instructions - -You need to complete the three sections listed below. Ideally you should type this in R Markdown and knit your document to HTML or Word or PDF, but you can also write in Word if you want (though your final project will need to be in R Markdown, and this would give you practice). - -**I've created an R Markdown template you can use here:** [{{< fa file-archive >}} `causal-model.zip`](/projects/causal-model.zip). It's also [available on RStudio.cloud](https://rstudio.cloud/spaces/269500/content/4357670). - -**Submit this assignment as a PDF or Word file on iCollege.** - ---- +**Feel free to remove any/all of the placeholder text and instructions here!** ## 1: DAG I Find a news article that makes a causal claim and interpret that claim by drawing an appropriate diagram. The article likely won't explain all the things the researchers controlled for, so you'll need to create an ideal DAG. What should be included in the causal process to measure the effect of X on Y? +INCLUDE IMAGE HERE + Export the figure from dagitty and include it in your assignment, or use this code to draw the DAG with R: -```{r example-dag-code, eval=FALSE} +```{r setup, warning=FALSE, message=FALSE} library(tidyverse) library(ggdag) +``` +```{r example-dag-code} # Remember that you can change the variable names here--they can be basically # anything, but cannot include spaces. The labels can have spaces. Adjust the # variable names (y, x2, etc) and labels ("Outcome", "Something", etc.) as # necessary. my_dag <- dagify(y ~ x1 + x2 + z, - z ~ x1, + z ~ x1, x2 ~ x1 + z, labels = c("y" = "Outcome", "x1" = "Something", @@ -45,14 +45,14 @@ my_dag <- dagify(y ~ x1 + x2 + z, # If you set text = TRUE, you'll see the variable names in the DAG points # The `seed` argument makes it so that the random layout is the same every time -ggdag(my_dag, text = FALSE, use_labels = "label", seed = 1234) + +ggdag(my_dag, text = FALSE, use_labels = "label", seed = 1234) + theme_dag() -# If you want the treatment and outcomes colored differently, +# If you want the treatment and outcomes colored differently, # replace ggdag() with ggdag_status() -ggdag_status(my_dag, text = FALSE, use_labels = "label", seed = 1234) + - theme_dag() + - theme(legend.position = "bottom") # Move legend to bottom for fun +ggdag_status(my_dag, text = FALSE, use_labels = "label", seed = 1234) + + theme_dag() + + theme(legend.position = "bottom") ``` Summarize the causal claim. Describe what the authors controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* @@ -66,6 +66,8 @@ Find a different news article with a causal claim and do the same thing as above Draw and include a DAG. +INCLUDE IMAGE HERE + Summarize the causal claim. Describe what the authors controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* Identify all the frontdoor and backdoor paths between your exposure and outcome. What variables need to be controlled for / adjusted to close the backdoors? Did this happen in the study or article? *(≈100 words)* @@ -73,7 +75,9 @@ Identify all the frontdoor and backdoor paths between your exposure and outcome. ## 3: DAG for your program -Identify the outcome you care most about from your final project program. Draw a DAG that shows the causal effect of your program's intervention on the outcome. +Identify the outcome you care most about from your final project program. Draw a DAG that shows the causal effect of your program's intervention on the outcome. + +INCLUDE IMAGE HERE Summarize the causal claim. Describe what needs to be controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* diff --git a/docs/_site/projects/final-project/final-project-template.Rmd b/docs/_site/projects/final-project/final-project-template.Rmd new file mode 100644 index 00000000..6a227874 --- /dev/null +++ b/docs/_site/projects/final-project/final-project-template.Rmd @@ -0,0 +1,110 @@ +--- +title: "TITLE GOES HERE" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + + + +```{r setup, include=FALSE} +# Change this to `echo = FALSE` to hide all code +knitr::opts_chunk$set(echo = TRUE) +``` + +# Introduction + +Describe the motivation for this evaluation, briefly describe the program to be evaluated, and explain why it matters for society. (**≈150 words**) + + +# Program overview + +Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn't started yet, explain why it's under consideration. (**≈300 words**) + + +# Program theory and implementation + +## Program theory and impact theory graph + +Explain and explore the program's underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don't and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. (**≈300 words**) + +Include a simple impact theory graph showing the program's basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. + +## Logic model + +Describe the program's inputs, activities, outputs, and outcomes. Pay careful attention to how they are linked—remember that every input needs to flow into an activity and every output must flow out of an activity. (**≈150 words**) + +Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Include this as a figure. + + +# Outcome and causation + +## Main outcome + +Select one of the program's outcomes to evaluate. Explain why you've chosen this (is it the most important? easiest to measure? has the greatest impact on society?) (**≈50 words**) + +## Measurement + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome. Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. Then, for each of these attributes, answer these questions: + +- *Measurable definition*: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) +- *Ideal measurement*: How would you measure this attribute in an ideal world? +- *Feasible measurement*: How would you measure this given reality and given limitations in budget, time, etc.? +- *Measurement of program effect*: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? + +(**≈150 words** in this section) + +## Causal theory + +Given your measurement approach, describe and draw a causal diagram (DAG) that shows how your program causes the outcome. Note that this is not the same thing as the logic model—you'll likely have nodes in the DAG that aren't related to the program at all (like socioeconomic status, gender, experience, or other factors). The logic model provides the framework for the actual implementation of your program and connects all the moving parts to the outcomes. The DAG is how you can prove causation with statistical approaches. (**≈150 words**) + +## Hypotheses + +Make predictions of your program's effect. Declare what you think will happen. (**≈50 words**) + + +# Data and methods + +## Identification strategy + +How will you measure the actual program effect? Will you rely on an RCT? Differences-in-differences? Regression discontinuity? Instrumental variables? How does your approach account for selection bias and endogeneity? How does your approach isolate the causal effect of the program on the outcome? + +Also briefly describe what kinds of threats to internal and external validity you face in your study. + +(**≈300 words**) + +## Data + +Given your measurement approach, limits on feasibility, and identification strategy, describe the data you will use. Will you rely on administrative data collected by a government agency or nonprofit? Will you collect your own data? If so, what variables will you measure, and how? Will you conduct a survey or rely on outside observers or do something else? What does this data look like? What variables does it (or should it) include? + +(**≈100 words**) + + +# Synthetic analysis + + +Generate a synthetic (fake) dataset in R with all the variables you'll need for the real life analysis. Analyze the data using your identification strategy. For instance: + +- If you're relying on observational data, close all the backdoors with matching or inverse probability weighting, don't adjust for colliders, and make a strong argument for isolation of the causal effect in the absence of treatment/control groups +- If you're doing an RCT, test the differences in means in the treatment and control groups (and follow all other best practices listed in the World Bank book, checking for balance across groups, etc.) +- If you're doing diff-in-diff, run a regression model with an interaction term to show the diff-in-diff +- If you're doing regression discontinuity, check for a jump in the outcome variable at the cutoff in the running variable +- If you're using instrumental variables, check the validity of your instrument and run a 2SLS model + +Include robustness checks to ensure the validity of your effect (i.e. if you're doing regression discontinuity, test different bandwidths and kernel types; etc.) + +(**As many words as you need to fully describe your analysis and results**) + + +# Conclusion + +What would the findings from this analysis mean for your selected program? What would it mean if you found an effect? What would it mean if you didn't find an effect? Why does any of this matter? (**≈75 words**) diff --git a/docs/_site/projects/final-project/final-project.Rproj b/docs/_site/projects/final-project/final-project.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/final-project/final-project.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/measurement/measurement.Rproj b/docs/_site/projects/measurement/measurement.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/measurement/measurement.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/measurement/your-name_measurement.Rmd b/docs/_site/projects/measurement/your-name_measurement.Rmd new file mode 100644 index 00000000..4ddb251c --- /dev/null +++ b/docs/_site/projects/measurement/your-name_measurement.Rmd @@ -0,0 +1,185 @@ +--- +title: "Measurement" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +**Feel free to remove any/all of the placeholder text and instructions here!** + +# 1: Measurement and abstraction for full-day kindergarten + +Read this article about half-day vs. full-day kindergarten in Utah: . The article is 10 years old, and half-day kindergarten still remains standard practice in most Utah school districts. + +Pretend you are the administrator of the Optional Extended Day Kindergarten initiative. Based on the *Salt Lake Tribune* article (which provides hints throughout, and especially in one of the final paragraphs), and based on your own knowledge of educational outcomes, do the following: + +## Possible outcomes + +Make a list of two (2) possible outcomes of the full-day kindergarten program. + +- Outcome 1 +- Outcome 2 + +For each of the these outcomes, answer these questions: + +## Outcome 1: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) +- Ideal measurement: How would you measure this attribute in an ideal world? +- Feasible measurement: How would you measure this given reality and given limitations in budget, time, etc.? +- Measurement of program effect: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +## Outcome 2: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +# 2: Measurement and abstraction for your program + +Repeat this exercise for the program you've chosen for your final project. + +## Possible outcomes + +- List +- Things +- Here + +For each of the these outcomes, answer these questions: + +## Outcome 1: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +## Outcome 2: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: diff --git a/docs/_site/projects/problem-set-2/data/food_health_politics.csv b/docs/_site/projects/problem-set-2/data/food_health_politics.csv new file mode 100755 index 00000000..d9499897 --- /dev/null +++ b/docs/_site/projects/problem-set-2/data/food_health_politics.csv @@ -0,0 +1,3144 @@ 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Plata,7347.21871312946,-3.461050859326712,0.14312577849241168,1486.85702980879,0.02896437117327288,11,0.203745207,25.5,0.458443449652122,46,0.852025413,981,161815,582.6,15063,15300,28475,30722,0.5289903424056189,0.4980144521841026,2829,0.08811237928007021,0.09208384870776642 +8069,CO,Larimer,56628.0654703376,-15.806277852539063,0.18899330998343825,13413.4227582757,0.044766621360597066,37,0.114154547,111.75,0.328683237596068,252,0.777485021,6316,974852,611.1,83103,92170,161823,193897,0.5135425742941362,0.4753554722352589,9546,0.05252652589557727,0.04923232437840708 +8071,CO,Las Animas,6181.77712966353,0.006441304263104261,0.3986442980372431,1258.90761658752,0.08118318285854903,4,0.284656988,11.6666666666667,0.827247157815122,11,0.782806718,519,42528,812.2,3282,2614,6532,6693,0.5024494794856094,0.3905572986702525,1042,0.027097366809553047,-0.15568504407590017 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Feliciana,2097.3065411295,-31.70995398958655,0.10348381808503973,238.19193106578,0.011752698034528051,1,0.0504719,17.4166666666667,0.884858337990482,11,0.555191036,722,59174,1075.8,4648,4235,10209,10042,0.45528455284552843,0.4217287392949612,1334,-0.07336663728083065,-0.13284206333399723 +22039,LA,Evangeline,8944.97874324539,62.44976081149579,0.26321147431866143,2289.96378392872,0.06738358592068974,16,0.474777448,52.1666666666667,1.54755900995778,10,0.296735905,1095,101279,1012.2,5330,4208,15765,14879,0.3380907072629242,0.28281470528933395,6149,-0.30738978750396445,-0.41326702063310705 +22041,LA,Franklin,2090.88074803066,-4.939316399233135,0.1006828501001907,503.316938325867,0.024236381678907258,3,0.146763857,28.5,1.4018691588785,11,0.538134142,835,61381,1082.8,2921,2506,9336,9162,0.31287489288774634,0.2735210652695918,4008,-0.36128963153384747,-0.4374590700720367 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Parle,820.610127587625,-14.745497057620414,0.11304726926403429,175.683654928936,0.02420218417535969,2,0.290233638,5.91666666666667,0.881111938446265,3,0.435350457,251,20757,559.2,1974,1301,3974,3835,0.4967287367891293,0.33924380704041723,993,0.009058882737795648,-0.25893089960886573 +27075,MN,Lake,902.252555428612,-2.719257352640293,0.08303447040572537,136.017949070109,0.012517757138791552,2,0.187265918,8.75,0.823529411764706,8,0.74906367,432,32102,715,4043,3077,6797,6472,0.5948212446667648,0.4754326328800989,145,0.21082830660585555,0.022404202719406685 +27077,MN,Lake of the Woods,1665.97472109299,0,0.41186025243337204,313.60578867609,0.07752924318321137,1,0.255232261,4,1.0487676979549,2,0.510464523,143,11768,771.8,859,553,2220,2230,0.3869369369369369,0.24798206278026905,987,-0.20135135135135135,-0.4426008968609866 +27079,MN,Le 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York,2,0,1.2611350341420783e-06,0,0,1342,0.820159045,1325.91666666667,0.806649169918409,2553,1.560257855,30098,4912859,529.6,417861,515481,496293,591368,0.8419643234943874,0.8716755049309398,456546,0.6962842514401775,0.7720167476089339 +36063,NY,Niagara,37906.4053229453,-21.48038984530664,0.17511239633825304,7823.95477418199,0.03614353452079508,32,0.149865355,176.5,0.833498616345073,134,0.627561176,7100,640315,808.9,40862,32888,82720,86e3,0.4939796905222437,0.3824186046511628,16335,0.005621373307543531,-0.18994186046511624 +36065,NY,Oneida,38017.7392512735,-17.471593887045874,0.16186164413556614,7598.37467786852,0.03235030389337665,65,0.279124494,239.583333333333,1.03630491514916,162,0.695664123,7530,699532,758.1,37388,30749,80429,83876,0.46485720324758484,0.36660069626591635,17741,-0.05285407004936027,-0.21151461681529876 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+39005,OH,Ashland,1795.13717656564,-7.878431077514278,0.03378191491307025,353.057109693003,0.0066440299910235975,13,0.245121146,38.4166666666667,0.716034195680807,31,0.584519657,1641,159420,769.5,8083,5659,23826,24074,0.3392512381432049,0.2350668771288527,11510,-0.2997565684546294,-0.47810916341281046 +39007,OH,Ashtabula,20657.0305335266,21.933802765637044,0.2035235576768436,4913.64075887453,0.048411684669246675,15,0.151247794,98.0833333333333,0.99849674067589,86,0.867154021,3565,297520,921,22964,15191,41781,39809,0.5496278212584668,0.3815971262779773,7564,0.12144276106364138,-0.19000728478484769 +39009,OH,Athens,14901.0944427876,-4.857278977633073,0.23010785618215174,2136.33648132537,0.032990047119622126,11,0.169981302,50.25,0.759224005076602,59,0.911717893,1419,195119,834.8,17268,15552,26112,27941,0.6613051470588235,0.5566014101141692,4736,0.3504136029411764,0.16950001789484992 +39011,OH,Auglaize,2299.64571532761,11.35167766651258,0.050047785921948466,550.898334248435,0.011989343277295155,6,0.130887197,30,0.653680219636554,34,0.741694117,1461,137673,754.5,5643,3825,22838,22860,0.24708818635607321,0.1673228346456693,14305,-0.48861546545231627,-0.6257655293088363 +39013,OH,Belmont,10006.2012686262,-4.811430211454406,0.14213354074753126,1445.60067745558,0.02053410053203949,19,0.273534789,58.1666666666667,0.847009256427805,54,0.777414664,2596,208095,849.5,13826,8652,30876,30537,0.44779116465863456,0.28332842125945573,12077,-0.08394869801787797,-0.39548744146445297 +39015,OH,Brown,3237.49882761767,-27.640924671464983,0.07219147365690742,769.778040640245,0.017164920854485236,8,0.181340103,41.5,0.948376334011289,25,0.566687823,1507,132160,948.4,6923,4270,18955,19139,0.36523344763914534,0.22310465541564345,9987,-0.25048799788973886,-0.5218140968702649 +39017,OH,Butler,125412.067800483,11.630468386366069,0.3406733159494825,33912.1797588824,0.09212011995458777,43,0.114924711,260.75,0.690660782916641,272,0.726965613,9642,1121688,833.1,59282,56700,164020,168422,0.36143153273990974,0.33665435631924573,47741,-0.261821729057432,-0.2834605930341642 +39019,OH,Carroll,1704.27967843959,1.6915453953879718,0.059102499599097996,331.882167148881,0.01150929973466781,3,0.106432043,23.5,0.849325960461166,15,0.532160216,964,84327,816.5,5396,3124,12965,12807,0.41619745468569225,0.24392910127274148,5943,-0.13736984188198997,-0.46404310142890604 +39021,OH,Champaign,627.128366559511,53.5372370505427,0.01564028148139539,144.89734244789,0.003613670410451904,10,0.255571458,26,0.671019691847111,19,0.48558577000000003,1165,117516,820.6,7826,4488,20016,17597,0.39098721023181454,0.2550434733193158,7826,-0.2011390887290168,-0.4447348979939762 +39023,OH,Clark,33638.012155897,26.28538805224631,0.2431669388786262,8342.50633462953,0.060307420027249675,19,0.139139095,112.416666666667,0.834038154308806,125,0.915388784,5158,409181,944.9,30022,22666,62136,59620,0.48316595854255184,0.38017443810801743,11645,-0.01760654049182442,-0.1953203622945321 +39025,OH,Clermont,78008.0457785454,-5.179268022679588,0.3952516215225012,21341.0765059403,0.10813109096406266,26,0.128993848,133.833333333333,0.659206063053922,132,0.654891844,5026,603567,783.7,29334,26096,93392,96455,0.3140954257323968,0.27055103416100773,39864,-0.35541588144594827,-0.41329117204914206 +39027,OH,Clinton,7472.72354197123,84.40486475588018,0.17775270080806918,1962.88437652891,0.04669087479849929,8,0.191227441,34.4166666666667,0.821360953335561,31,0.741006334,1300,125699,893.9,5534,3943,17648,18100,0.3135766092475068,0.2178453038674033,9523,-0.3516545784224841,-0.5261325966850828 +39029,OH,Columbiana,21395.0415270525,3.1972127215956747,0.19839431688367598,4199.25415743456,0.03893931025708738,16,0.151391859,90.25,0.870424844480879,76,0.71911133,3883,316230,891.7,19351,12273,45078,45261,0.42927814011269355,0.271160601842646,18813,-0.12039132170903771,-0.41565586266321997 +39031,OH,Coshocton,6861.14462190056,7.297967508495382,0.18593383978484485,1637.03508677489,0.044362892246142115,8,0.219082046,24.5833333333333,0.671639072546127,21,0.575090371,1232,109882,860,6841,3908,15555,14961,0.4397942783670845,0.261212485796404,6473,-0.0945676631308261,-0.4326582447697347 +39033,OH,Crawford,10125.7319365623,306.44398686365577,0.23126557501741052,2413.46884638735,0.05512216440680043,7,0.164783427,36.4166666666667,0.865353388937734,33,0.776836158,1669,127499,897.5,7207,4518,19192,18702,0.37552105043768236,0.24157844080846969,8747,-0.22686536056690287,-0.46770398887819487 +39035,OH,Cuyahoga,250036.420635505,1.5540685551724975,0.19532233696124662,55522.2482268326,0.0433726224741334,294,0.23336519,1159.5,0.928081117251183,1102,0.874722581,40696,3780327,799.4,420953,383974,611512,583230,0.6883806041418647,0.6583577662328756,204080,0.3867103180313714,0.34991341323320135 +39037,OH,Darke,3130.78430107329,46.600403428378584,0.059117134029594405,704.607241115653,0.013304768615639513,11,0.210744118,19.9166666666667,0.38465500148068,29,0.55559813,1809,156613,813.9,6610,4395,24807,25e3,0.26645704841375417,0.1758,15303,-0.4488652396500987,-0.61212 +39039,OH,Defiance,5001.03592042594,-20.108922709898376,0.1281101498687384,1312.38713226828,0.033619057106547126,5,0.129836406,26.6666666666667,0.698848646854308,27,0.701116593,1136,115476,771.4,7438,5282,17744,17795,0.4191839495040577,0.2968249508288845,6196,-0.14072362488728585,-0.3481876931722394 +39041,OH,Delaware,46411.8620546816,0.16098201752611316,0.2664071891735544,14164.7618255116,0.0813066792881835,17,0.089893344,69.5,0.353756178008073,166,0.877782067,3048,567496,615.2,36131,39584,96330,100101,0.3750752621197965,0.39544060498896116,16076,-0.23719505865254858,-0.16059779622581194 +39043,OH,Erie,21523.2982946061,-0.11146739149728452,0.279236864705122,4797.96181259465,0.062247328229409433,11,0.145065147,55.3333333333334,0.736726714331998,78,1.028643773,2824,227558,854,20969,15692,38262,36730,0.5480372170822225,0.42722570106180235,3609,0.11274894150854631,-0.0982575551320446 +39045,OH,Fairfield,30776.2722720533,-14.179639629379468,0.21057139133565028,8253.92402983093,0.056473384806856576,14,0.093096867,73.4166666666667,0.481114744501312,99,0.658327847,3616,450737,731.7,28831,24150,70079,70542,0.4114071262432398,0.3423492387513822,19013,-0.1612894019606444,-0.2695273737631482 +39047,OH,Fayette,896.913255141699,-26.912170870829904,0.030896081816799828,178.453714732736,0.006147217179908232,7,0.243055556,31.4166666666667,1.09557353419817,32,1.111111111,1076,86112,1018.3,4075,2672,10677,10817,0.38166151540694954,0.24701858186188408,5091,-0.22300271611875994,-0.47064805398909126 +39049,OH,Franklin,274663.114038607,-0.35491563704248225,0.23608372775177794,74009.1072706459,0.06361373274745345,265,0.215203432,984.583333333334,0.778623422785072,1107,0.898981885,27670,3701048,826.7,325654,335961,541751,554711,0.6011137958213275,0.6056505099051578,143633,0.21728247848181176,0.2589330299921941 +39051,OH,Fulton,6459.18563773524,11.95647205319405,0.15127607002049837,1673.09129159467,0.03918430117557427,7,0.16439643,30.8333333333333,0.725251289771213,25,0.587130108,1247,127483,763.7,8790,5981,20757,20693,0.4234715999421882,0.2890349393514715,7438,-0.1315700727465433,-0.3594452230222781 +39053,OH,Gallia,3690.43821212106,53.593321558786954,0.11930038831451024,877.500529417395,0.02836686265653957,5,0.164489917,40.0833333333333,1.3354433894164,31,1.019837484,1100,91016,973.1,3418,2564,9534,12588,0.3585063981539752,0.20368605020654593,7003,-0.2615900985945039,-0.5563234826819192 +39055,OH,Geauga,18310.2758896316,6.824383031423184,0.19606458886626477,4573.60366538371,0.0489736871085857,12,0.127260194,48.75,0.518286200297682,58,0.615090938,2399,282136,615.9,19295,17165,50125,48736,0.3849376558603491,0.3522037097833224,12412,-0.21564089775561102,-0.2546782665791202 +39057,OH,Greene,47231.7808722227,-11.955391119730221,0.2923247131155744,11082.1138256558,0.06858889681850186,16,0.097668172,92.75,0.56292295086942,132,0.805762422,4236,492952,723.7,31028,28023,81075,79633,0.3827073697193956,0.35190184973566235,19483,-0.2177613320999075,-0.2446598771865935 +39059,OH,Guernsey,6254.85549601462,7.879187881878144,0.15603201776173373,1492.69057825596,0.03723627555706239,12,0.303106845,45.0833333333333,1.15411856061576,38,0.959838343,1412,118448,944,7226,4286,16403,16156,0.44052917149301957,0.2652884377321119,6878,-0.09662866548802046,-0.42572418915573157 +39061,OH,Hamilton,236682.57274106,8.129983360658942,0.2949778690997714,59024.9993365188,0.07356295111322002,165,0.204554499,689.5,0.852182489411061,681,0.844252205,23747,2418013,844.9,208508,207587,402572,395e3,0.5179396480629552,0.5255367088607595,37615,0.0493203700207665,0.09522784810126589 +39063,OH,Hancock,12032.6738623908,0.42622366847948834,0.16090334388476907,2883.67010916752,0.03856101881692814,11,0.146010592,47.9166666666667,0.6315461127513,62,0.822968794,2147,226489,753.8,12192,9419,34940,35216,0.3489410417859187,0.26746365288505225,14358,-0.2829135661133371,-0.4077124034529759 +39065,OH,Hardin,3035.02565478082,70.70560753618899,0.09467295697737912,834.817396611359,0.02604084461324346,6,0.188702982,25,0.794306411641355,20,0.629009938,938,95223,888.3,4487,2870,12147,12014,0.3693916193298757,0.23888796404195106,5671,-0.2346258335391455,-0.4720326285999667 +39067,OH,Harrison,381.456459222245,0,0.024045414726566124,84.4438713291311,0.005322987350550372,4,0.257350576,17.0833333333333,1.11604712440931,7,0.450363508,614,46651,901.3,2895,1663,6999,6956,0.4136305186455208,0.23907418056354227,3358,-0.1487355336476639,-0.4827487061529615 +39069,OH,Henry,3638.57213560143,-10.88228305846539,0.1289587855963647,826.733247293576,0.02930119607632735,4,0.143179296,16.3333333333333,0.591166286631197,19,0.680101657,845,83781,718.6,5513,3690,13937,13671,0.3955657602066442,0.26991441737985516,5446,-0.18641027480806488,-0.3983614951356887 +39071,OH,Highland,2456.47577881237,30.666552630454973,0.05635540569438093,606.97451721226,0.013924947055731034,8,0.185852015,44.5,1.03418624648493,27,0.627250552,1457,129399,907.1,5772,3436,17161,17048,0.3363440358953441,0.20154856874706711,9569,-0.3065089447001923,-0.5612975129047395 +39073,OH,Hocking,5072.30291778712,-0.6250867037770558,0.1726447555407461,1210.54613434102,0.041203067880906066,4,0.139251523,18.9166666666667,0.667490002352388,19,0.661444735,885,85798,849.5,6010,3713,12442,12513,0.4830413116862241,0.2967313993446815,4569,-0.01125221025558587,-0.36514025413569884 +39075,OH,Holmes,875.830753574264,0,0.020672963073555775,203.65901079427601,0.004807133333198225,12,0.273360973,17.0833333333333,0.388823136683661,14,0.318921135,938,131309,720,2568,1766,11355,10823,0.2261558784676354,0.16317102466968492,6812,-0.5279612505504183,-0.6294003511041301 +39077,OH,Huron,7389.88101039639,-0.7625085481316884,0.12393722554584224,1750.43775707465,0.02935695429971237,10,0.17031713,45,0.770033710364654,48,0.817522226,1780,176014,873.2,10673,7080,24077,24332,0.4432861236865058,0.2909748479368732,8850,-0.0892137724799601,-0.3637185599210916 +39079,OH,Jackson,1427.97091190759,-7.716355161395317,0.042978808484803316,351.635706009765,0.010583467449503838,9,0.274825944,43.3333333333333,1.33312823668154,24,0.732869183,1197,98214,1048.8,4965,3142,12916,13239,0.38440693713223906,0.2373291034066017,6476,-0.20795912047073395,-0.48916081275020773 +39081,OH,Jefferson,15086.3098312204,6.5706132142425835,0.21641839405557964,3156.53611997812,0.04528161528609104,15,0.221585369,62.75,0.940723195010794,47,0.694300824,2849,203043,972.7,14960,9483,32327,31346,0.4627710582485229,0.30252663816754927,11185,-0.05472205896000254,-0.35682383717220695 +39083,OH,Knox,8644.80621597503,-9.919029871607377,0.14190190929195237,2061.50700745947,0.03383902114967696,11,0.179835532,38.8333333333333,0.638559103715153,40,0.65394739,1761,182908,773.4,10154,7959,27618,27768,0.36765877326381347,0.2866248919619706,10604,-0.24328336592077626,-0.38187842120426396 +39085,OH,Lake,78510.8091236878,-12.008558514485559,0.34129050527378946,18356.8896736766,0.07979833887731579,38,0.165772368,167.166666666667,0.731217977318391,180,0.785237534,7202,688070,756.5,55219,45056,114264,112790,0.4832580690331163,0.3994680379466265,17571,-0.01689946089757055,-0.1557850873304371 +39087,OH,Lawrence,9196.4498974999,3.7622779843821665,0.14726100716573098,2246.15088933978,0.035967187979820334,11,0.178504779,52.6666666666667,0.865203487098611,38,0.616652873,2312,184638,1006.9,10454,6849,25252,25949,0.4139870109298273,0.2639408069675132,11391,-0.15511642642166962,-0.438976453813249 +39089,OH,Licking,34313.6544184969,29.110630146538323,0.2060979171281317,8352.91889443824,0.05017009162264998,20,0.118070724,114.25,0.663480412083764,121,0.714327882,4690,508498,819.3,32264,26360,77423,79399,0.41672371259186547,0.3319941057192156,22986,-0.14646810379344644,-0.2894998677565208 +39091,OH,Logan,3675.85483587678,5.546642718870282,0.08015732992884077,735.226811618416,0.01603268375459933,12,0.263695695,37.75,0.835824200154987,36,0.791087086,1500,136357,892.2,6789,4537,20535,21007,0.3306062819576333,0.21597562717189508,11049,-0.31818845872899926,-0.5259675346313133 +39093,OH,Lorain,81349.4002787049,5.179070879735363,0.26994451837263866,20268.4945967616,0.06725764410451958,53,0.174218319,230.75,0.753186558516802,185,0.608120546,8959,912185,780.2,78112,64958,138513,136654,0.563932627262423,0.4753464955288539,388,0.14451351136716406,-0.00283928754372359 +39095,OH,Lucas,72292.056245336,-2.4547015510941295,0.1636251739876102,18579.4754111658,0.04205261344944332,71,0.16311115,427.583333333333,0.988659415598428,373,0.856907872,13244,1304553,867,129229,107363,200850,191684,0.643410505352253,0.5601041297134868,33261,0.30435150609907896,0.1735199599340581 +39097,OH,Madison,12460.4750746298,81.45736738032616,0.2868763687033452,2988.47940704293,0.06880348583038862,5,0.113848536,29.25,0.673668209769916,22,0.500933558,1191,131269,847.7,6700,4662,17240,16754,0.388631090487239,0.27826190760415426,6657,-0.20388631090487241,-0.39733794914647247 +39099,OH,Mahoning,63368.7198877127,-9.215398184825197,0.2653375926427216,14187.3058284619,0.0594051068300034,42,0.180099827,206.083333333333,0.895983328116124,201,0.861906314,9255,699582,861.2,74298,56188,117571,112827,0.6319415502122122,0.49800136492151703,3380,0.27724523904704396,0.029957368360410186 +39101,OH,Marion,22122.5139050891,-3.730498890088528,0.332664379559542,4652.72422657498,0.06996472574209381,12,0.182592818,51.5,0.791139240506329,44,0.669506999,2197,196937,908,11933,7748,26433,25648,0.45144327166799075,0.3020898315658141,8815,-0.07585215450383992,-0.34369151590767316 +39103,OH,Medina,42335.4737522633,-4.849767931145197,0.24566228995348108,11760.8320975946,0.06824520168973029,21,0.119298525,99.5,0.561445878310132,118,0.670344091,4280,527025,698,37841,31582,88849,89360,0.42590237369019346,0.3534243509400179,22229,-0.1308174543326318,-0.24875783348254255 +39105,OH,Meigs,3888.99798410945,-22.072640329623347,0.1636095071144068,893.858511637231,0.037604480927102696,2,0.085722858,26.1666666666667,1.13153153153153,16,0.685782864,837,70058,909,3911,2157,9979,9410,0.3919230383805993,0.2292242295430393,4712,-0.18749373684737947,-0.5007438894792774 +39107,OH,Mercer,1408.26781235503,-56.69066803667526,0.0345045281608034,353.737066975533,0.008667052162873843,7,0.171438368,21,0.513334474076609,26,0.636771081,1242,122666,748.3,4609,3335,21161,21315,0.21780634185529985,0.1564625850340136,13865,-0.5480837389537356,-0.6504808820079755 +39109,OH,Miami,14209.8607399238,-9.120510797561453,0.13862467309156343,3770.2764153775,0.0367810315042778,10,0.096246391,55.75,0.532580555794381,78,0.750721848,3123,311615,785.1,15731,12832,50281,51467,0.31286171714961913,0.24932481007247362,23479,-0.3563771603587837,-0.4561952318961665 +39111,OH,Monroe,837.792184608278,1.2281288376161599,0.05721842539327129,203.482333665329,0.013897167986977804,1,0.069132389,15.1666666666667,1.06732348111658,6,0.414794331,540,43443,816,3007,1647,6743,6686,0.44594394186563846,0.2463356266826204,3134,-0.07904493548865488,-0.46874065210888416 +39113,OH,Montgomery,142425.887582158,-9.96145087533696,0.26614050109437487,34594.9539228404,0.06464497802094056,84,0.157564207,414,0.779310253953494,477,0.894739606,17954,1599109,876.2,128983,117661,254266,249560,0.5072758449812401,0.47147379387722393,3105,0.030656871150684717,-0.012441897740022412 +39115,OH,Morgan,945.824959082027,-0.2867612655155917,0.06282881354337896,255.00806518197,0.016939555279790755,2,0.13474365,10.6666666666667,0.720525983968297,2,0.13474365,494,44516,816.3,2772,1711,6042,6290,0.45878848063555117,0.2720190779014308,2604,-0.06024495200264807,-0.41399046104928455 +39117,OH,Morrow,166.316313211074,0,0.004775499273870101,40.6220128428831,0.0011663942585604015,6,0.170687301,20.9166666666667,0.597004985348403,14,0.398270369,964,105108,785.1,5780,3711,15813,16186,0.36552203882881174,0.2292722105523292,8011,-0.24549421362170365,-0.4949338934881997 +39119,OH,Muskingum,16744.9335222579,10.733062188629411,0.1945411334695483,4316.63722777894,0.05015030355018867,16,0.186441073,87.6666666666667,1.0185744605041,64,0.745764292,2931,257978,888.5,16327,10926,35954,36217,0.4541080269232909,0.3016815307728415,12662,-0.06950547922345218,-0.3496148217687826 +39121,OH,Noble,3788.43845414501,-0.023890301061844775,0.25868476982895255,377.551213289321,0.02578021258377064,4,0.278493351,8.58333333333333,0.600485052003171,8,0.556986702,407,43264,636.7,2082,1201,5755,5875,0.3617723718505647,0.20442553191489363,3240,-0.24604691572545617,-0.5514893617021276 +39123,OH,Ottawa,11156.6439043025,20.8544521846711,0.2693020156488969,2396.83008999563,0.057855317418065794,9,0.218690771,27.25,0.67058765626538,36,0.874763085,1401,123055,729.6,11214,8136,21936,21742,0.5112144420131292,0.3742066047281759,4253,0.0406181619256018,-0.19561217919234664 +39125,OH,Paulding,2557.60411142829,-11.064624525493295,0.13039686506721168,639.377173286096,0.03259800006557031,5,0.263310338,15.9166666666667,0.843714109020231,10,0.526620675,547,57148,762.5,3435,2068,8912,8842,0.385435368043088,0.2338837367111513,4291,-0.20343357271095153,-0.4852974440171907 +39127,OH,Perry,1410.53161663492,-62.01755427260866,0.03911840969091242,420.357840601766,0.011657824632585445,8,0.223388808,32.5833333333333,0.906931648435253,20,0.558472021,1037,107882,874.3,6857,4072,14673,14647,0.46732092959858246,0.278009148631119,5906,-0.04368568118312549,-0.40322250290161815 +39129,OH,Pickaway,7596.61635594995,6.382618072588187,0.13638939200599573,1058.81178106792,0.019009870750617976,8,0.140656868,41.0833333333333,0.713685978169605,36,0.632955904,1557,170215,825.3,9335,6325,23443,23814,0.39819988909269294,0.2656000671873688,10157,-0.18675084246896728,-0.42651381540270433 +39131,OH,Pike,4088.46418982961,-38.42663276679182,0.1424105398944446,1055.91657329915,0.036779984440389775,3,0.10617214,38,1.34943181818182,19,0.672423556,1005,84861,960.9,5490,3443,11233,11513,0.48873853823555596,0.29905324415877704,4226,-0.004006053592094716,-0.3670633197255277 +39133,OH,Portage,42909.8652637024,29.387350178055467,0.2658290861899925,9936.53801587208,0.06155742518459462,17,0.105014764,100.166666666667,0.618614427200096,124,0.765990042,4259,486103,799.3,38082,31463,74029,73968,0.51442002458496,0.42535961496863506,7515,0.04885923084196736,-0.10159798831927325 +39135,OH,Preble,314.004876838997,7.177774967915782,0.007428551616725739,62.2625759507064,0.0014729731712965792,5,0.120232771,28.5,0.690959342497636,22,0.529024191,1379,124547,877.7,6005,4323,19619,20475,0.30608084000203883,0.21113553113553113,11053,-0.3668382690249248,-0.5398290598290598 +39137,OH,Putnam,5727.09859938069,14.013148546052786,0.16600766976957854,1435.39444760099,0.0416068421577724,5,0.146322905,12.75,0.374383368569415,22,0.643820784,885,102338,669.9,4238,2874,18126,18387,0.23380778991503917,0.15630608582150432,11830,-0.5144543749310383,-0.6433893511720238 +39139,OH,Richland,31594.1102907102,18.64296948183541,0.25381892179723,6525.62133347414,0.05242515632435541,22,0.180413639,111.083333333333,0.917232970293487,96,0.787259517,4182,365884,836.5,21785,15629,55954,53739,0.38933767022911675,0.2908316120508383,20176,-0.20145119205061307,-0.37544427696830984 +39141,OH,Ross,10703.8210533486,24.950920917041852,0.13711596963195072,2024.87404203539,0.02593864062865585,13,0.168483262,64.6666666666667,0.83982683982684,53,0.686893298,2448,231610,929,13895,9905,28961,28955,0.47978315665895516,0.3420825418753238,7928,-0.023721556576085046,-0.2738041788982905 +39143,OH,Sandusky,6092.05572779065,-1.0881078742666666,0.09996153399498967,1426.36719860869,0.02340455497848336,12,0.199405108,48.75,0.821675375021069,36,0.598215324,1966,179810,841.1,14035,9733,28192,27491,0.49783626560726446,0.3540431413917282,6312,0.019296254256526646,-0.22960241533592807 +39145,OH,Scioto,14240.6569918688,5.733480505818903,0.17913001411173476,3207.76141557381,0.04034970773939056,12,0.155323721,77.6666666666667,1.02074790593348,58,0.750731316,2941,232245,1001.6,14432,8841,30023,29618,0.48069813143256834,0.29850091160780606,10901,-0.019684908237018295,-0.3680532108852725 +39147,OH,Seneca,7975.8375470328,31.820176484695622,0.14055577666812583,1798.68205385204,0.031697630696132524,11,0.197596508,38.0833333333333,0.688008478914121,28,0.502972929,1711,167175,788.9,10962,7237,24633,23481,0.44501278772378516,0.3082066351518249,7322,-0.08374944180570776,-0.3118265831949235 +39149,OH,Shelby,8219.96478161615,8.598383622661881,0.1663186124196457,2153.4043508468,0.0435708951469316,7,0.143000143,34.1666666666667,0.702685286112882,30,0.612857756,1287,146964,756.6,6065,4143,23129,23110,0.2622249124475766,0.1792730419731718,14005,-0.45981235678152965,-0.6060147122457811 +39151,OH,Stark,108254.356229243,4.515678627788044,0.2882278791787846,25550.2494407573,0.06802769389901993,62,0.165009475,281.166666666667,0.75256326527699,316,0.841016033,12238,1125795,784.1,86314,66581,176620,170868,0.4886989015966482,0.3896633658730716,29764,-0.0036462461782357236,-0.17419294426106702 +39153,OH,Summit,165394.718098392,-12.803077230037847,0.3052796574601029,39083.1451575484,0.07213827202790131,85,0.156843063,418.166666666667,0.773952742303658,444,0.819274352,17202,1626763,817.6,147146,129922,259389,249937,0.5672792601074063,0.5198189943865854,20391,0.14821754199291415,0.08158455930894587 +39155,OH,Trumbull,45541.4575972812,-1.3465150355613027,0.2165423637133459,9739.87468923328,0.04631154993168854,45,0.219324966,190.833333333333,0.945538626698047,141,0.687218228,7622,615514,852.3,59446,42130,98703,94073,0.6022714608471881,0.44784369585322037,6022,0.22188788587986186,-0.06401411669660795 +39157,OH,Tuscarawas,17960.7690232658,2.2870650117173623,0.19399849887954246,4118.85469971702,0.044488720266542305,18,0.193990602,80.3333333333333,0.8692202265022,78,0.840625943,3070,278468,787.2,17516,11895,39855,40088,0.4394931627148413,0.2967222111355019,14210,-0.0979550871910676,-0.35447016563560163 +39159,OH,Union,11122.956139362,51.58599969089877,0.21267602560921609,2699.25907392284,0.05161107215913652,5,0.09297828,22.25,0.401211749643868,27,0.502082713,1101,161400,767.6,8546,7530,24947,26533,0.342566240429711,0.2837975351449139,10071,-0.29666893814887557,-0.3795650699129386 +39161,OH,Van Wert,4648.77005034307,22.55225256490474,0.16173010194625206,1058.08638323191,0.036810686864455544,3,0.105403696,16.0833333333333,0.567073314058717,16,0.562153046,997,85469,808.7,3923,2667,13586,13584,0.2887531282202267,0.1963339222614841,7661,-0.40556455174444284,-0.563972320376914 +39163,OH,Vinton,6470.94777706147,204.52886466734296,0.48164851336520065,1526.73945281047,0.11363896187647712,0,0,10.5,0.812630601346645,7,0.528940608,438,39533,1007.3,2382,1332,5352,5393,0.44506726457399104,0.2469868347858335,2467,-0.07772795216741402,-0.4574448358983868 +39165,OH,Warren,75605.2082272299,8.636168223856021,0.35546636808559706,21670.3380497734,0.10188552538058798,30,0.135343027,103.166666666667,0.454352609921769,130,0.58648645,4747,666028,705,31907,33036,108008,114254,0.29541330271831723,0.2891452378034905,42911,-0.39551699874083396,-0.37557547219353365 +39167,OH,Washington,5778.64024941314,11.407378129237156,0.09353880425739164,1193.89503671359,0.01932556956705607,13,0.212373189,61.75,1.01880877742947,47,0.767810759,2220,183687,848.6,11333,7841,28798,28992,0.3935342732134176,0.2704539183222958,12060,-0.19404125286478224,-0.4159768211920529 +39169,OH,Wayne,18588.2530210001,2.0861226097174703,0.16231446927174378,4175.79015349844,0.036463413844729654,28,0.242346608,68.1666666666667,0.585272316190149,71,0.614521755,3213,347124,742.9,18932,14670,49356,48550,0.3835805170597293,0.30216271884654994,16952,-0.21310478969122293,-0.34916580844490214 +39171,OH,Williams,5340.36729667119,0.13464595569970197,0.14187257044448195,1323.42684869434,0.03515825005829499,6,0.160896731,29.25,0.790177486019937,27,0.72403529,1188,111795,770.8,7045,4287,17286,16938,0.4075552470207104,0.25309953949698905,7419,-0.16302209880828417,-0.43800921006021964 +39173,OH,Wood,41776.0575311933,14.283118440940907,0.3329087843554228,8860.08479092771,0.07060503626583985,17,0.131182962,79.6666666666667,0.611789882172852,117,0.902847442,3273,388502,762.6,31596,26440,61967,62287,0.5098842932528604,0.4244866505049208,5294,0.04194167863540277,-0.08499365838778555 +39175,OH,Wyandot,1018.68396102051,1.2464682306358195,0.045044614681428695,239.861406371445,0.010606296987461641,8,0.357893795,16.1666666666667,0.730928052566537,15,0.671050866,771,67078,806.4,3962,2484,10254,10396,0.38638580066315587,0.23893805309734514,4862,-0.2040179442168909,-0.46767987687572143 +40001,OK,Adair,1651.05631843157,7.476319910914668,0.07278826956009214,482.871223533051,0.021287802474674912,3,0.135220409,22.6666666666667,1.02573385223399,9,0.405661228,724,66395,1046,2110,1374,6472,6468,0.32601977750309025,0.212430426716141,3379,-0.34796044499381956,-0.5224180581323439 +40003,OK,Alfalfa,3316.19527714096,-3.297283503707253,0.5877694571323928,483.979364819341,0.08578152513635963,2,0.345423143,5.33333333333333,0.915279446255935,2,0.345423143,189,17485,776.8,278,216,1817,2256,0.15299944964226747,0.09574468085106383,1715,-0.694001100715465,-0.760195035460993 +40005,OK,Atoka,5732.81939501008,-3.014824375130337,0.4042320825701651,1178.13727233637,0.0830727169888852,3,0.217454335,14.9166666666667,1.08013516775284,7,0.507393447,501,41445,979.3,1241,795,4775,5002,0.2598952879581152,0.15893642542982808,3273,-0.4802094240837696,-0.6543382646941223 +40007,OK,Beaver,2157.19728383167,-2.8392442822075252,0.3827532441149166,505.469190234387,0.08968580380312047,1,0.182282173,3,0.557413600891862,1,0.182282173,143,16438,669.2,243,176,2300,2237,0.10565217391304348,0.07867679928475638,1811,-0.788695652173913,-0.8095663835493966 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Mills,2001.02443678865,0.6253232115378244,0.5486768403588292,469.391995846178,0.12870633283415905,1,0.265886732,2,0.549450549450549,0,0,106,11310,660.4,272,151,1674,1758,0.16248506571087215,0.08589306029579068,1395,-0.6750298685782556,-0.7935153583617747 +40131,OK,Rogers,17566.426554087,-24.278242026282008,0.20213366957122145,4382.23165681146,0.05042554118648478,5,0.05567,54.9166666666667,0.598442415128334,34,0.378555921,2561,269793,858.9,9146,7895,36677,40834,0.24936608773890995,0.19334378214233236,22998,-0.5012678245221802,-0.5632071313121418 +40133,OK,Seminole,1914.04503081855,-12.011483943208571,0.07511361081620556,542.941132241443,0.02130684923638031,5,0.196687778,27.25,1.08104891498393,16,0.629400889,1066,76443,1125.4,2597,2067,7449,8032,0.34863740099342194,0.2573456175298805,3545,-0.30272519801315617,-0.44135956175298807 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Jacinto,2148.83499161658,339.08380383075144,0.08144462521287825,482.710872844717,0.018295590996237,5,0.184508653,20.3333333333333,0.733869900506491,4,0.147606923,885,81295,815.3,2410,2034,9610,10305,0.25078043704474506,0.19737991266375546,6016,-0.48855359001040577,-0.5837942746239689 +48409,TX,San Patricio,13590.5606190166,24.05527536740809,0.20971792819913276,3846.56641746601,0.059356928854175824,8,0.119554659,67.9166666666667,1.00386766191215,55,0.82193828,1890,200531,900.9,7854,7825,20064,21513,0.39144736842105265,0.363733556454237,5179,-0.20633971291866027,-0.24073815832287448 +48411,TX,San Saba,1871.97661117252,0,0.30532973596028706,397.930665482931,0.06490469180931838,3,0.53361793,5,0.841184387617766,4,0.711490573,184,17443,698.1,323,293,2256,2354,0.14317375886524822,0.12446898895497026,1732,-0.7012411347517731,-0.735768903993203 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+1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Yes + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-2/your-name_problem-set-2.Rmd b/docs/_site/projects/problem-set-2/your-name_problem-set-2.Rmd new file mode 100644 index 00000000..aa8e2b8c --- /dev/null +++ b/docs/_site/projects/problem-set-2/your-name_problem-set-2.Rmd @@ -0,0 +1,330 @@ +--- +title: "Problem set 2: Regression" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(modelsummary) + +# Load penguins data +penguins <- read_csv("data/penguins.csv") +``` + +# Task 1: Penguins + +Between 2007 and 2009, researchers collected data on penguins in three islands in the Palmer Archipelago in Antarctica: Biscoe, Dream, and Torgersen. The `penguins` dataset has data for 342 penguins from 3 different species: Chinstrap, Gentoo, and Adélie. It includes the following variables: + +- `species`: The penguin's species (Chinstrap, Gentoo, and Adélie) +- `island`: The island where the penguin lives (Biscoe, Dream, and Torgersen) +- `bill_length_mm`: The length of the penguin's bill, in millimeters (distance from the penguin's face to the tip of the bill) +- `bill_depth_mm`: The depth of the penguin's bill, in millimeters (height of the bill; distance from the bottom of the bill to the top of the bill) +- `flipper_length_mm`: The length of the penguin's flippers, in millimeters +- `body_mass_g`: The weight of the penguin, in grams +- `sex`: The sex of the penguin +- `year`: The year the observation was made + +## Exploratory analysis + +What is the relationship between penguin weight and bill depth? This plot shows some initial trends: + +```{r plot-penguin-weight-depth} +ggplot(data = penguins, + aes(x = bill_depth_mm, y = body_mass_g)) + + geom_point() +``` + +Make a new plot that colors these points by species. What can you tell about the relationship between bill depth and penguin weight? + +```{r plot-penguin-weight-depth-by-species} + +``` + +Add a `geom_smooth()` layer to the plot and make sure it uses a straight line (hint: include `method="lm"` in the function). What does this tell you about the relationship between bill depth and body mass? + +```{r plot-penguin-weight-depth-by-species-with-lines} + +``` + +Change the plot so that there's a single line for all the points instead of one line per species. How does the slope of this single line differ from the slopes of the species specific lines? ***Why??*** + +```{r plot-penguin-weight-depth-by-species-with-one-line} + +``` + +What is the relationship between flipper length and body mass? Make another plot with `flipper_length_mm` on the x-axis, `body_mass_g` on the y-axis, and points colored by `species`. + +```{r} + +``` + +Facet the plot by island (`island`) + +```{r} +ggplot(data = penguins, + aes(x = flipper_length_mm, y = body_mass_g, color = species)) + + geom_point() + + facet_wrap(vars(island)) +``` + +Tell a story about the relationship between flipper length and weight in these three penguin species. + +SAY SOMETHING HERE + +Tell a story about the distribution of penguins across the three islands. + +SAY SOMETHING HERE + + +## Models + +### Predicting weight with bill depth + +Does bill depth predict penguin weight? + +```{r model-depth-weight} +model_depth_weight <- lm(body_mass_g ~ bill_depth_mm, + data = penguins) + +tidy(model_depth_weight, conf.int = TRUE) +``` + +```{r model-details-depth-weight} +glance(model_depth_weight) +``` + +INTERPRET THE COEFFICIENTS AND RESULTS HERE. What happens as bills get taller? Is the association statistically significant? How confident are you about these results? (Hint: look at the $R^2$) + + +### Predicting weight with bill depth and flipper length + +RUN A MODEL that predicts weight with bill depth and flipper length (i.e. body_mass_g ~ bill_depth_mm + flipper_length_mm) + +```{r model-weight-depth-flipper} + +``` + +```{r model-details-weight-depth-flipper} + +``` + +INTERPRET THESE RESULTS. Did the size of the bill depth coefficient change after controlling for flipper length? + + +### Predicting weight with bill depth, flipper length, and species + +RUN A MODEL that predicts weight with bill depth, flipper length, and species. + +```{r model-weight-depth-flipper-species} + +``` + +```{r model-details-weight-depth-flipper-species} + +``` + +INTERPRET THESE RESULTS. What do the species coefficients mean? Did the bill depth coefficient change after controlling for both flipper length and species? + +## All models at the same time + +```{r all-penguin-models} +# Right now there's only one model here. Add the others from above (whatever you +# called them) like so: +# modelsummary(list(model_depth_weight, some_other_model, yet_another_model, etc)) + +modelsummary(list(model_depth_weight)) +``` + +--- + +# Task 2: Food access and mortality + +```{r load-food-mortality-data} +# Make sure you look at this dataset by clicking on its name in the Environment +# panel in RStudio. Sort some of the different columns and look around to get a +# feel for what's in the data +food_health <- read_csv("data/food_health_politics.csv") +``` + +We're interested in looking at the relationships between food access, mortality, and politics. Do do this, we look at data from three different sources: + +- The USDA's [Food Environment Atlas](https://www.ers.usda.gov/data-products/food-environment-atlas/documentation/) +- The CDC's ["Compressed Mortality File 1999-2015 Series 20 No. 2U, 2016"](http://wonder.cdc.gov/cmf-icd10.html) +- 2016 election results (found all over the internet) + +Each row in the dataset is a US county. The main outcome we care about is `mortality_rate`, or the number of deaths per 100,000 people in a county between 2013-2015. Other interesting variables in the dataset include: + +- `pct_low_access_pop`: Percent of the county's population with low access to food +- `pct_children_low_access`: Percent of the county's children with low access to food +- `grocery_stores_per_1000`: Number of grocery stores in a county (per 1,000 residents) +- `snap_stores_per_1000`: Number of stores that accept SNAP (food stamps) in a county (per 1,000 residents) +- `fastfood_per_1000`: Number of fast food stores in a county (per 1,000 residents) +- `per_dem_2012`: Percent of the county that voted for Obama in 2012 +- `per_dem_2016`: Percent of the county that voted for Clinton in 2016 + + +## Exploratory analysis + +### How related are mortality rate and access to food? + +```{r cor-mortality-food} +# Notice how this is a little different from what was in the complete example +# with SAT scores. It's not possible to calculate correlations when there is +# missing data. The `use = "complete.obs"` argument here tells R to ignore any +# rows where either mortality_rate or pct_low_access_pop is missing +cor(food_health$mortality_rate, food_health$pct_low_access_pop, + use = "complete.obs") +``` + +SAY SOMETHING HERE. This is backwards from what you might expect, since it trends downward (i.e. the mortality rate is lower in counties with a greater proportion of the population with low access to food). Why might that be? Is there really a relationship? + +```{r plot-mortality-food, warning=FALSE} +# Use warning=FALSE in the chunk options to remove the warning about missing data +ggplot(food_health, aes(x = pct_low_access_pop, y = mortality_rate)) + + geom_point() + + geom_smooth(method = "lm") + + labs(x = "% of county with low access to food", + y = "Mortality rate (per 100,000 residents)") +``` + + +### How related are mortality rate and the prevalence of fast food restaurants? + +```{r cor-mortality-fastfood} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-fastfood} + +``` + + +### How related are mortality rate and the prevalence of SNAP stores per 1,000 residents? + +```{r cor-mortality-snap} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-snap} + +``` + + +### How related are mortality rate and the percent of the county that voted for Democrats in 2016? + +```{r cor-mortality-2016} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-2016} + +``` + + +## Models + +### Does access to food predict mortality? + +SAY SOMETHING HERE + +```{r model-mortality-food} +model_mortality_food <- lm(mortality_rate ~ pct_low_access_pop, + data = food_health) + +tidy(model_mortality_food, conf.int = TRUE) +``` + +```{r model-details-mortality-food} +glance(model_mortality_food) +``` + +INTERPRET THE COEFFICIENTS AND RESULTS HERE. What happens as the percent of low access to food goes up by 1%? Is that significant? Again, this is backwards from what you'd expect---as the percent of low access goes up, mortality drops. Why might that be? How much do you trust this finding? (Hint: look at the R2 value) + +### Do more SNAP stores per person predict mortality? + +```{r model-mortality-snap} + +``` + +```{r model-details-mortality-snap} + +``` + +SAY SOMETHING HERE. What happens as the proportion of SNAP stores goes up? Do you trust this number more or less than low access to food? + +### Do election results and access to food and SNAP stores predict mortality? + +RUN A MODEL THAT PREDICTS MORTALITY WITH A BUNCH OF COVARIATES (i.e. mortality_rate ~ pct_low_access_pop + snap_stores_per_1000 + per_dem_2016 + anything else you want to throw in) + +```{r model-mortality-lots-of-things} + +``` + +```{r model-details-mortality-lots-of-things} + +``` + +SAY SOMETHING HERE. Interpret the different coefficients. How predictive is this model (i.e. what's the R2)? Do you believe this model? + +### Mortality, contolling for state differences + +RUN A MODEL with some number of plausible independent/explanatory variables. Include `state` as one of them + +```{r model-mortality-state} +# Add other explanatory variables here +model_with_state <- lm(mortality_rate ~ pct_low_access_pop + state, + data = food_health) + +# This table is 50+ rows long! While it might be interesting to see changes in +# intercept in relation to Alaska (the omitted state here), like how Alabama's +# mortality rate is 137 higher than Alaska's while DC's is 84 lower, it's not +# super helpful. Controlling for state does capture some of the state-specific +# reasons for varying mortality though, so it's good to include. We just don't +# really need to see all those coefficients. To remove them from this table of +# results, filter them out. The "!" in R means "not", so here we're only looking +# at rows that don't start with "state" +tidy(model_with_state, conf.int = TRUE) %>% + filter(!str_starts(term, "state")) +``` + +```{r model-state-mortality-lots-of-things} + +``` + +SAY SOMETHING ABOUT THIS MODEL + + +## All models at the same time + +PUT ALL THE MODEL RESULTS IN THE SAME SIDE-BY-SIDE TABLE HERE + +```{r everything-together} +# Right now there are only two models here. Add the others from above (whatever +# you called them) like so: +# modelsummary(list(model_mortality_food, some_other_model, yet_another_model, etc)) + +# Also, by default, modelsummary will include all the state coefficients, which +# we don't want. We can omit specific coefficients with the `coef_omit` +# argument. The ^ character means it'll omit coefficients that *start with* +# "state". Without ^, it would omit any coefficient where the characters "state" +# appeared anywhere in the name, which might be too greedy + +modelsummary(list(model_mortality_food, model_with_state), + coef_omit = "^state") +``` diff --git a/docs/_site/projects/problem-set-3/barrel-dag-observational.png b/docs/_site/projects/problem-set-3/barrel-dag-observational.png new file mode 100644 index 00000000..2b7066da Binary files /dev/null and b/docs/_site/projects/problem-set-3/barrel-dag-observational.png differ diff --git a/docs/_site/projects/problem-set-3/barrel-dag-rct.png b/docs/_site/projects/problem-set-3/barrel-dag-rct.png new file mode 100644 index 00000000..fb822ac2 Binary files /dev/null and b/docs/_site/projects/problem-set-3/barrel-dag-rct.png differ diff --git a/docs/_site/projects/problem-set-3/data/barrels_observational.csv b/docs/_site/projects/problem-set-3/data/barrels_observational.csv new file mode 100644 index 00000000..73cd55a2 --- /dev/null +++ b/docs/_site/projects/problem-set-3/data/barrels_observational.csv @@ -0,0 +1,1242 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,212.73,Barrel,1,25811,No home garden,0,3,81.1 +2,258.76,No barrel,0,39479,Home garden,1,7,65.1 +3,156.49,Barrel,1,13297,No home garden,0,7,75.9 +4,254.84,No barrel,0,28259,No home garden,0,2,70.6 +5,194.78,Barrel,1,21479,No home garden,0,5,66.7 +6,201.81,Barrel,1,28906,Home garden,1,8,75.3 +7,210.42,No barrel,0,7041,No home garden,0,3,66.3 +8,255.56,No barrel,0,29434,No home garden,0,4,71.3 +9,187.88,Barrel,1,24779,Home garden,1,8,70 +10,252.21,No barrel,0,29741,Home garden,1,9,68.4 +11,174.36,Barrel,1,16931,No home garden,0,7,70.5 +12,183.78,Barrel,1,10357,No home garden,0,8,74.4 +13,202.02,Barrel,1,16071,No home garden,0,6,81 +14,185.85,Barrel,1,14977,No home garden,0,6,73 +15,211.61,Barrel,1,13053,No home garden,0,3,81.7 +16,208,Barrel,1,24206,No home garden,0,4,70.3 +17,181.79,No barrel,0,14641,No home garden,0,8,58.7 +18,213.09,Barrel,1,15519,No home garden,0,3,78.6 +19,174.12,No barrel,0,6782,No home garden,0,9,62.6 +20,231.34,No barrel,0,19185,No home garden,0,5,66.1 +21,219.84,No barrel,0,26319,Home garden,1,7,69.9 +22,192.17,Barrel,1,35468,Home garden,1,7,75.2 +23,236.49,Barrel,1,35299,No home garden,0,3,81.2 +24,183.51,No barrel,0,8066,No home garden,0,8,70.9 +25,179.93,No barrel,0,9509,No home garden,0,6,70.3 +26,188.89,Barrel,1,21281,No home garden,0,2,69 +27,265.28,No barrel,0,20160,No home garden,0,2,72.6 +28,266.37,No barrel,0,28510,Home garden,1,7,71.5 +29,142.15,Barrel,1,3815,No home garden,0,6,65 +30,223.17,No barrel,0,11933,No home garden,0,4,71.4 +31,265.78,No barrel,0,36989,Home garden,1,5,63 +32,203.82,No barrel,0,13489,No home garden,0,5,73.2 +33,250.57,No barrel,0,17570,No home garden,0,2,68.6 +34,225.84,No barrel,0,17197,No home garden,0,3,72.7 +35,261.62,No barrel,0,37644,Home garden,1,6,66.4 +36,257.22,No barrel,0,33476,Home garden,1,7,70.9 +37,233.64,No barrel,0,24009,No home garden,0,1,64 +38,204.67,Barrel,1,10880,No home garden,0,4,81.1 +39,271.29,No barrel,0,31316,Home garden,1,6,71.6 +40,260.6,No barrel,0,34542,Home garden,1,5,72.5 +41,233.32,No barrel,0,14983,No home garden,0,4,70.5 +42,192.14,Barrel,1,27877,Home garden,1,9,66.2 +43,233.46,Barrel,1,27994,No home garden,0,5,80.8 +44,189.38,No barrel,0,15527,No home garden,0,2,68.7 +45,171.08,Barrel,1,13715,No home garden,0,8,75 +46,268.69,No barrel,0,28308,No home garden,0,2,72.1 +47,222.04,No barrel,0,26454,No home garden,0,5,64 +48,256.28,No barrel,0,29906,No home garden,0,4,72 +49,213.61,No barrel,0,18501,Home garden,1,9,69.2 +50,248.19,No barrel,0,26720,No home garden,0,5,73.5 +51,270.18,No barrel,0,35343,Home garden,1,6,69.1 +52,216.79,No barrel,0,12211,No home garden,0,6,70.1 +53,235.35,Barrel,1,28904,Home garden,1,7,77.5 +54,175.73,Barrel,1,13592,No home garden,0,6,74.2 +55,210.69,No barrel,0,12990,No home garden,0,4,71.6 +56,184.29,Barrel,1,9363,No home garden,0,7,74.2 +57,239.13,No barrel,0,27521,Home garden,1,7,67.1 +58,224.67,Barrel,1,24539,No home garden,0,3,73.9 +59,250.85,No barrel,0,26410,No home garden,0,4,69.6 +60,166.68,Barrel,1,12062,No home garden,0,6,71.4 +61,235.72,Barrel,1,32672,No home garden,0,4,72.5 +62,207.25,Barrel,1,34827,Home garden,1,6,72.4 +63,205.15,Barrel,1,24811,No home garden,0,3,75.4 +64,186,No barrel,0,13646,No home garden,0,6,66.1 +65,223.82,No barrel,0,20140,No home garden,0,3,62.2 +66,229.3,Barrel,1,24714,No home garden,0,4,69.6 +67,219.04,No barrel,0,11316,No home garden,0,8,71.1 +68,287.82,No barrel,0,23572,No home garden,0,4,73.8 +69,253.42,No barrel,0,29730,No home garden,0,5,69.4 +70,206.44,No barrel,0,12860,No home garden,0,6,67.7 +71,213.55,No barrel,0,13761,No home garden,0,5,63.3 +72,221.17,Barrel,1,25221,No home garden,0,4,68.1 +73,227.28,No barrel,0,31993,Home garden,1,5,68.4 +74,179.57,Barrel,1,31952,No home garden,0,5,60.7 +75,254.44,No barrel,0,36695,Home garden,1,5,65.1 +76,223,No barrel,0,16829,No home garden,0,1,61.9 +77,212.64,No barrel,0,26067,Home garden,1,7,65.7 +78,224.06,No barrel,0,23897,No home garden,0,7,69.2 +79,234.41,No barrel,0,34248,Home garden,1,7,69.2 +80,257.09,No barrel,0,28608,Home garden,1,7,72 +81,126.53,Barrel,1,4832,No home garden,0,7,60.6 +82,244.96,No barrel,0,24637,Home garden,1,6,68.1 +83,252.02,No barrel,0,29531,Home garden,1,6,66.5 +84,214.61,No barrel,0,18565,No home garden,0,5,67.2 +85,219.13,No barrel,0,19108,No home garden,0,1,71.8 +86,245.27,No barrel,0,30574,Home garden,1,6,71.9 +87,229.19,No barrel,0,20286,No home garden,0,4,65.7 +88,263.65,No barrel,0,16218,No home garden,0,4,69.7 +89,182.68,No barrel,0,18107,No home garden,0,7,67.5 +90,218.32,No barrel,0,23129,Home garden,1,8,71.1 +91,189.43,Barrel,1,17230,Home garden,1,9,74.9 +92,187.1,Barrel,1,24724,Home garden,1,7,65.1 +93,247.13,No barrel,0,12219,No home garden,0,2,77 +94,217.41,No barrel,0,27721,Home garden,1,6,60.8 +95,244.46,No barrel,0,18977,No home garden,0,4,74.8 +96,217.75,Barrel,1,25067,Home garden,1,7,74.5 +97,199.82,Barrel,1,27990,Home garden,1,6,73.9 +98,193.69,No barrel,0,16333,No home garden,0,6,66 +99,267.4,No barrel,0,26412,No home garden,0,6,70.3 +100,121.75,Barrel,1,6261,No home garden,0,5,66.9 +101,218.11,No barrel,0,22827,No home garden,0,3,62.8 +102,270.05,No barrel,0,28279,No home garden,0,4,67.8 +103,191.1,Barrel,1,18408,No home garden,0,6,76.8 +104,178.38,No barrel,0,11176,No home garden,0,6,62.2 +105,175.22,No barrel,0,10682,No home garden,0,6,62.5 +106,250.71,No barrel,0,25144,No home garden,0,4,69.3 +107,239.01,No barrel,0,22087,No home garden,0,5,69.3 +108,226.17,Barrel,1,33313,Home garden,1,8,77.9 +109,221.65,No barrel,0,26079,No home garden,0,5,69 +110,212.91,No barrel,0,21691,No home garden,0,5,66.1 +111,182.32,Barrel,1,24941,Home garden,1,9,62.4 +112,218.28,Barrel,1,28018,Home garden,1,8,71.4 +113,230.27,No barrel,0,26331,Home garden,1,8,71.9 +114,257.66,No barrel,0,32150,No home garden,0,4,68.1 +115,210.18,Barrel,1,27143,No home garden,0,5,76 +116,166.36,Barrel,1,15679,Home garden,1,9,69.6 +117,240.31,Barrel,1,34956,No home garden,0,3,66.8 +118,206.07,Barrel,1,23506,No home garden,0,4,78.7 +119,218.62,No barrel,0,21556,No home garden,0,4,70.7 +120,200.36,Barrel,1,11430,No home garden,0,2,75.8 +121,195.36,Barrel,1,19677,No home garden,0,4,66.3 +122,205.18,Barrel,1,28299,No home garden,0,4,65.8 +123,185.46,Barrel,1,14878,No home garden,0,5,71 +124,234.73,No barrel,0,19757,No home garden,0,5,78.1 +125,251.71,No barrel,0,24519,No home garden,0,5,70 +126,194.99,No barrel,0,27526,No home garden,0,6,57.9 +127,225.89,No barrel,0,22271,No home garden,0,6,68.4 +128,235.78,No barrel,0,17550,No home garden,0,3,71.4 +129,216.38,No barrel,0,22228,No home garden,0,3,62 +130,242.48,Barrel,1,18875,No home garden,0,2,82.2 +131,207.6,Barrel,1,28731,No home garden,0,3,64.5 +132,216.38,No barrel,0,19544,No home garden,0,7,62.7 +133,250.36,Barrel,1,28653,No home garden,0,4,80.9 +134,223.57,No barrel,0,14885,No home garden,0,7,69.1 +135,281.43,No barrel,0,27255,No home garden,0,5,82.2 +136,233.91,No barrel,0,22252,No home garden,0,5,67.4 +137,156.53,Barrel,1,16299,No home garden,0,3,54 +138,227,No barrel,0,28339,No home garden,0,4,63.4 +139,214.42,Barrel,1,31862,Home garden,1,6,71.2 +140,189.05,Barrel,1,25688,No home garden,0,5,71.5 +141,178.81,Barrel,1,23795,Home garden,1,9,72.1 +142,243.03,No barrel,0,26763,No home garden,0,5,76.2 +143,241.5,No barrel,0,20645,No home garden,0,6,68.3 +144,212.11,No barrel,0,11961,No home garden,0,4,70.7 +145,187.78,No barrel,0,17118,No home garden,0,7,69.8 +146,228.93,No barrel,0,28364,Home garden,1,6,68.2 +147,153.46,Barrel,1,7939,No home garden,0,7,67.8 +148,227.48,Barrel,1,32363,No home garden,0,2,73.4 +149,183.06,Barrel,1,20559,No home garden,0,3,68.6 +150,213.13,No barrel,0,22450,No home garden,0,7,66.8 +151,213.43,Barrel,1,21992,No home garden,0,4,78.7 +152,264.03,No barrel,0,27979,No home garden,0,2,71.8 +153,170.94,No barrel,0,6885,No home garden,0,7,66.4 +154,171.81,Barrel,1,30342,Home garden,1,6,68 +155,223.55,No barrel,0,18034,No home garden,0,5,71.6 +156,164.64,Barrel,1,3635,No home garden,0,4,71.4 +157,245.53,No barrel,0,13369,No home garden,0,2,74.4 +158,170.86,Barrel,1,20765,No home garden,0,7,64 +159,174.32,Barrel,1,20211,No home garden,0,5,74.9 +160,174.87,No barrel,0,6049,No home garden,0,6,67.2 +161,217.44,No barrel,0,28028,No home garden,0,6,69.5 +162,168.98,No barrel,0,24006,Home garden,1,8,62.1 +163,193.86,No barrel,0,22052,No home garden,0,4,61.7 +164,219.74,No barrel,0,27177,No home garden,0,6,69.6 +165,186,Barrel,1,20355,Home garden,1,8,76.3 +166,145.88,Barrel,1,9577,No home garden,0,9,68.7 +167,242,No barrel,0,34602,No home garden,0,4,69.9 +168,235.19,No barrel,0,24962,No home garden,0,5,68.2 +169,168.35,No barrel,0,7522,No home garden,0,9,72.9 +170,256.56,No barrel,0,30832,No home garden,0,3,67.5 +171,278.48,No barrel,0,33357,Home garden,1,7,73.9 +172,261.39,No barrel,0,28891,No home garden,0,4,70.1 +173,191.91,Barrel,1,7664,No home garden,0,7,79.2 +174,254.93,No barrel,0,22879,No home garden,0,1,71.6 +175,199.93,Barrel,1,32797,Home garden,1,9,70.9 +176,151.87,Barrel,1,6317,No home garden,0,3,69.9 +177,240.35,No barrel,0,38750,No home garden,0,4,63.2 +178,215.35,No barrel,0,10549,No home garden,0,6,70.8 +179,244.16,No barrel,0,16835,No home garden,0,2,71.9 +180,261.26,No barrel,0,29641,No home garden,0,5,64.1 +181,170.42,No barrel,0,1950,No home garden,0,7,68 +182,218.08,Barrel,1,21646,No home garden,0,4,76.4 +183,197.67,Barrel,1,31386,No home garden,0,5,75.5 +184,217.84,No barrel,0,23409,No home garden,0,5,68.3 +185,292.06,No barrel,0,36306,No home garden,0,3,76.1 +186,195.83,No barrel,0,14235,No home garden,0,8,71.7 +187,191.54,Barrel,1,19422,No home garden,0,3,72.3 +188,187.77,No barrel,0,19659,No home garden,0,5,58.6 +189,217.56,Barrel,1,24669,No home garden,0,5,76 +190,175.36,Barrel,1,14662,No home garden,0,4,67.3 +191,220.23,Barrel,1,24369,No home garden,0,4,73.7 +192,287.74,No barrel,0,36826,Home garden,1,7,73.4 +193,211.1,No barrel,0,17097,No home garden,0,5,65.9 +194,219.79,No barrel,0,14804,No home garden,0,5,77.9 +195,184.13,Barrel,1,20895,No home garden,0,7,68.1 +196,195.77,Barrel,1,23453,No home garden,0,3,61.3 +197,170.6,Barrel,1,15292,No home garden,0,3,63.9 +198,190.45,Barrel,1,11943,No home garden,0,4,70.4 +199,287.96,No barrel,0,39000,Home garden,1,4,74.5 +200,222.4,Barrel,1,24622,Home garden,1,7,75.5 +201,190.43,Barrel,1,12524,No home garden,0,4,83 +202,167.46,No barrel,0,7235,No home garden,0,9,68.3 +203,231.78,No barrel,0,19168,No home garden,0,6,67.1 +204,278.05,No barrel,0,28649,Home garden,1,8,76.8 +205,224.18,No barrel,0,17615,No home garden,0,3,73.4 +206,183.79,Barrel,1,24905,Home garden,1,8,64.3 +207,228.78,No barrel,0,29426,Home garden,1,6,65.1 +208,209.46,No barrel,0,22186,No home garden,0,5,60.7 +209,254.34,No barrel,0,24699,Home garden,1,8,70.3 +210,182.66,Barrel,1,16278,No home garden,0,8,66.1 +211,219.11,Barrel,1,30939,Home garden,1,8,80.7 +212,225.08,No barrel,0,28699,No home garden,0,6,62.9 +213,217.1,No barrel,0,22377,No home garden,0,5,63.1 +214,191.22,Barrel,1,25072,No home garden,0,5,72 +215,200.23,No barrel,0,17516,No home garden,0,7,70.3 +216,222.2,No barrel,0,24901,Home garden,1,9,69.9 +217,137.33,Barrel,1,3797,No home garden,0,7,71.2 +218,164.75,Barrel,1,12596,No home garden,0,4,70.2 +219,212.63,Barrel,1,29474,Home garden,1,6,76.2 +220,158.09,Barrel,1,20795,Home garden,1,8,68.1 +221,216.8,Barrel,1,21396,No home garden,0,5,79.9 +222,201.3,Barrel,1,11609,No home garden,0,7,86 +223,250.41,No barrel,0,26493,No home garden,0,4,73.6 +224,179.99,Barrel,1,12809,No home garden,0,7,80.2 +225,185.57,Barrel,1,13605,No home garden,0,7,75.5 +226,217.07,No barrel,0,26145,No home garden,0,5,67.3 +227,137.34,Barrel,1,572,No home garden,0,9,70 +228,268.45,No barrel,0,28862,No home garden,0,4,73.6 +229,246.05,No barrel,0,28305,No home garden,0,4,71.4 +230,202.51,No barrel,0,22778,Home garden,1,7,71.3 +231,210.98,No barrel,0,28042,No home garden,0,6,57.5 +232,219.92,No barrel,0,20065,No home garden,0,3,73.5 +233,190.16,No barrel,0,8463,No home garden,0,6,64.7 +234,210.05,Barrel,1,19207,No home garden,0,3,74.1 +235,182.9,No barrel,0,22067,Home garden,1,8,60.3 +236,232.13,No barrel,0,12730,No home garden,0,3,75.3 +237,244.1,No barrel,0,23102,No home garden,0,5,76.9 +238,236.51,No barrel,0,25148,Home garden,1,6,69.1 +239,233.59,No barrel,0,29420,No home garden,0,5,67.6 +240,167.92,Barrel,1,27732,No home garden,0,5,62.1 +241,237.27,No barrel,0,26237,No home garden,0,4,69.4 +242,240.59,No barrel,0,16245,No home garden,0,2,73.1 +243,228.03,No barrel,0,20156,No home garden,0,4,72.7 +244,245.57,No barrel,0,12116,No home garden,0,3,79.2 +245,274.72,No barrel,0,27499,No home garden,0,4,79.4 +246,236.42,Barrel,1,29061,No home garden,0,3,76.2 +247,172.59,Barrel,1,16866,No home garden,0,8,62.7 +248,200.29,No barrel,0,14483,No home garden,0,7,67.6 +249,186.47,Barrel,1,20120,No home garden,0,7,69.2 +250,200.91,No barrel,0,17426,No home garden,0,7,59.6 +251,179.23,No barrel,0,10322,No home garden,0,6,63.3 +252,198.61,No barrel,0,10334,No home garden,0,6,74.7 +253,270.99,No barrel,0,31526,Home garden,1,5,67.6 +254,220.12,No barrel,0,14850,No home garden,0,5,73.3 +255,225.37,No barrel,0,13115,No home garden,0,3,68.9 +256,233.38,Barrel,1,29775,No home garden,0,5,76.8 +257,252.06,No barrel,0,24220,No home garden,0,5,71.1 +258,210.19,No barrel,0,17341,No home garden,0,4,60.3 +259,206.69,No barrel,0,23242,No home garden,0,6,64.5 +260,285.18,No barrel,0,38900,Home garden,1,7,67.2 +261,224.32,No barrel,0,12636,No home garden,0,5,84.8 +262,210.92,No barrel,0,25900,Home garden,1,7,62.2 +263,258.89,No barrel,0,30876,Home garden,1,6,72.5 +264,274.52,No barrel,0,38559,Home garden,1,6,69.1 +265,192.86,Barrel,1,11182,No home garden,0,6,78.7 +266,241.94,No barrel,0,25847,No home garden,0,4,72.6 +267,220.7,No barrel,0,16846,No home garden,0,2,65.2 +268,230.96,No barrel,0,21089,No home garden,0,5,68.7 +269,205.02,No barrel,0,11424,No home garden,0,4,67.3 +270,250.6,Barrel,1,34542,No home garden,0,3,71.6 +271,241.77,No barrel,0,22464,Home garden,1,7,70.7 +272,232.26,No barrel,0,11423,No home garden,0,3,77 +273,226.66,Barrel,1,26701,No home garden,0,4,77.8 +274,164,Barrel,1,13528,No home garden,0,2,70.5 +275,251.84,No barrel,0,30111,Home garden,1,6,71.2 +276,165.88,No barrel,0,7301,No home garden,0,9,67.4 +277,253.51,No barrel,0,19713,No home garden,0,2,77.4 +278,194.97,Barrel,1,15397,No home garden,0,6,77.3 +279,190.12,Barrel,1,24008,Home garden,1,7,73.6 +280,244.95,No barrel,0,36530,No home garden,0,3,69.6 +281,198.47,Barrel,1,22268,Home garden,1,8,74 +282,212.02,Barrel,1,22842,No home garden,0,7,82 +283,140.09,Barrel,1,5676,No home garden,0,3,67.2 +284,221.59,No barrel,0,19227,No home garden,0,5,75.9 +285,257.11,No barrel,0,12084,No home garden,0,5,79.5 +286,231.05,No barrel,0,20179,No home garden,0,7,71.2 +287,199.72,No barrel,0,13680,No home garden,0,4,62.2 +288,194.51,Barrel,1,29663,Home garden,1,7,73.7 +289,209.04,No barrel,0,9402,No home garden,0,4,64 +290,143.18,Barrel,1,4957,No home garden,0,9,62.4 +291,219.98,No barrel,0,5772,No home garden,0,5,77.6 +292,198.41,No barrel,0,25044,Home garden,1,8,61.4 +293,181.41,Barrel,1,9163,No home garden,0,5,72.2 +294,223.96,No barrel,0,11746,No home garden,0,3,70.3 +295,258.9,No barrel,0,36012,No home garden,0,4,69.5 +296,218.83,No barrel,0,19909,No home garden,0,7,74 +297,263.51,No barrel,0,13791,No home garden,0,3,78.1 +298,212.48,No barrel,0,17166,Home garden,1,8,68.1 +299,243.84,No barrel,0,32059,No home garden,0,3,64.2 +300,172.51,No barrel,0,15538,No home garden,0,8,65.6 +301,220.47,No barrel,0,24576,No home garden,0,6,69.9 +302,263.96,No barrel,0,36060,Home garden,1,8,76.8 +303,197.98,No barrel,0,14428,No home garden,0,4,71.6 +304,197.22,No barrel,0,16403,No home garden,0,6,70.6 +305,174.82,Barrel,1,15809,No home garden,0,7,67 +306,213.17,Barrel,1,16009,No home garden,0,3,80.4 +307,156.97,Barrel,1,22192,Home garden,1,10,69.7 +308,194.3,Barrel,1,32695,Home garden,1,8,62 +309,176.04,No barrel,0,26563,Home garden,1,8,59.8 +310,229.77,Barrel,1,20250,No home garden,0,4,70.8 +311,225.64,Barrel,1,19129,No home garden,0,2,71.9 +312,234.07,Barrel,1,36691,Home garden,1,10,71.7 +313,214.66,No barrel,0,19936,Home garden,1,8,64.2 +314,214.13,No barrel,0,30956,No home garden,0,4,55.2 +315,198.66,No barrel,0,9035,No home garden,0,5,63.8 +316,202.66,Barrel,1,25321,No home garden,0,6,73.5 +317,214.57,No barrel,0,21845,No home garden,0,7,65.4 +318,233.84,No barrel,0,18141,No home garden,0,6,71.6 +319,185.76,Barrel,1,17294,Home garden,1,8,75.3 +320,234.4,No barrel,0,24703,Home garden,1,9,71 +321,234.4,Barrel,1,26873,Home garden,1,6,78.3 +322,209.59,No barrel,0,23680,Home garden,1,9,70.5 +323,238.72,No barrel,0,32314,No home garden,0,4,64 +324,199.38,No barrel,0,26245,No home garden,0,6,57.8 +325,213.76,No barrel,0,21201,No home garden,0,6,70.4 +326,264.43,No barrel,0,31968,No home garden,0,2,73.9 +327,251.96,No barrel,0,21966,No home garden,0,6,72.6 +328,251.54,No barrel,0,21619,No home garden,0,3,71.3 +329,252.2,No barrel,0,29348,No home garden,0,5,67.9 +330,182.34,Barrel,1,17334,No home garden,0,6,65.9 +331,170.29,Barrel,1,22451,Home garden,1,8,64.1 +332,243.47,No barrel,0,23481,Home garden,1,8,72.6 +333,154.37,Barrel,1,11152,No home garden,0,6,66.7 +334,236.34,Barrel,1,13522,No home garden,0,2,84.2 +335,271.13,No barrel,0,18675,No home garden,0,2,76.3 +336,215.62,No barrel,0,29744,Home garden,1,6,64.3 +337,218.31,No barrel,0,29141,Home garden,1,9,63.5 +338,219.9,No barrel,0,18130,No home garden,0,6,67.9 +339,154.86,Barrel,1,9674,No home garden,0,7,73.3 +340,159.77,Barrel,1,2995,No home garden,0,7,75.6 +341,211.59,Barrel,1,17610,No home garden,0,4,70.3 +342,181.2,No barrel,0,5752,No home garden,0,5,68.7 +343,214.11,No barrel,0,18593,No home garden,0,4,71.7 +344,269.58,No barrel,0,31806,No home garden,0,4,81 +345,180.2,Barrel,1,4582,No home garden,0,7,77.5 +346,209.39,No barrel,0,27107,Home garden,1,7,64.4 +347,209.17,Barrel,1,20361,No home garden,0,6,74.6 +348,198.69,No barrel,0,11789,No home garden,0,7,66.5 +349,264.43,No barrel,0,22098,No home garden,0,4,76.7 +350,181.37,No barrel,0,9797,No home garden,0,3,67.5 +351,188.01,Barrel,1,28685,Home garden,1,7,71.2 +352,198.62,Barrel,1,23137,No home garden,0,2,70.3 +353,193.99,Barrel,1,17442,No home garden,0,5,78.1 +354,153,Barrel,1,2082,No home garden,0,5,70.7 +355,139.21,Barrel,1,1886,No home garden,0,6,68.3 +356,200.25,Barrel,1,19408,No home garden,0,3,74 +357,255.57,No barrel,0,15740,No home garden,0,2,73.8 +358,157.93,Barrel,1,10330,No home garden,0,8,66.6 +359,204.35,Barrel,1,23610,Home garden,1,8,75.8 +360,167.95,Barrel,1,10932,No home garden,0,5,69.5 +361,216.61,No barrel,0,11705,No home garden,0,4,68.9 +362,280.74,No barrel,0,36420,Home garden,1,6,71 +363,257.72,No barrel,0,37060,Home garden,1,8,62.8 +364,206.97,No barrel,0,20577,No home garden,0,3,61.1 +365,168.68,Barrel,1,13606,No home garden,0,6,70.6 +366,208.28,Barrel,1,24182,No home garden,0,6,69.8 +367,221.38,No barrel,0,8218,No home garden,0,3,67.2 +368,242.76,Barrel,1,28461,Home garden,1,6,77.9 +369,173.17,Barrel,1,11640,No home garden,0,4,70.2 +370,180.75,Barrel,1,6801,No home garden,0,5,70 +371,182.55,Barrel,1,19448,No home garden,0,5,71.4 +372,203.42,No barrel,0,20970,No home garden,0,6,71.6 +373,207.85,Barrel,1,21163,No home garden,0,1,70 +374,235.58,No barrel,0,17070,No home garden,0,3,70.9 +375,196.96,Barrel,1,30536,Home garden,1,9,77.5 +376,135.61,Barrel,1,982,No home garden,0,7,79.7 +377,186.63,Barrel,1,19660,No home garden,0,3,66.4 +378,228.49,No barrel,0,22161,Home garden,1,8,68.2 +379,246.42,Barrel,1,31622,No home garden,0,4,75.4 +380,160.62,Barrel,1,8157,No home garden,0,7,71 +381,189.67,No barrel,0,13119,No home garden,0,4,64.4 +382,243.47,No barrel,0,24252,No home garden,0,5,70.4 +383,240.82,No barrel,0,17648,No home garden,0,5,73.8 +384,143.57,No barrel,0,3478,No home garden,0,4,61.9 +385,219.99,No barrel,0,27011,No home garden,0,4,60.6 +386,252.85,No barrel,0,16246,No home garden,0,3,71.1 +387,206.95,No barrel,0,13220,No home garden,0,2,68.4 +388,211.46,No barrel,0,29814,Home garden,1,10,63.3 +389,209.92,Barrel,1,32031,Home garden,1,7,66.4 +390,194.39,Barrel,1,19079,No home garden,0,3,73.7 +391,246.26,Barrel,1,31389,No home garden,0,3,73 +392,190.54,No barrel,0,16959,No home garden,0,3,65.7 +393,275.6,No barrel,0,34034,Home garden,1,8,72 +394,206.99,No barrel,0,14242,No home garden,0,7,73 +395,186.95,No barrel,0,7896,No home garden,0,4,69.6 +396,165.7,Barrel,1,15567,No home garden,0,8,68.8 +397,206.61,No barrel,0,11384,No home garden,0,5,69.3 +398,227.45,No barrel,0,12423,No home garden,0,2,73.2 +399,199.99,No barrel,0,11376,No home garden,0,6,70.5 +400,231.19,Barrel,1,27549,No home garden,0,4,76.8 +401,203.92,Barrel,1,22512,No home garden,0,4,70.7 +402,228.38,Barrel,1,21336,Home garden,1,8,76.7 +403,212.06,Barrel,1,12950,No home garden,0,3,70.8 +404,238.12,No barrel,0,26771,Home garden,1,7,72.8 +405,220.85,No barrel,0,12474,No home garden,0,5,73 +406,196.27,No barrel,0,15037,Home garden,1,9,66.1 +407,230.64,No barrel,0,21735,Home garden,1,7,72.7 +408,249.14,Barrel,1,33339,Home garden,1,7,78 +409,217.43,No barrel,0,21485,No home garden,0,6,64.6 +410,216.62,No barrel,0,19231,No home garden,0,6,66 +411,198.28,No barrel,0,11639,No home garden,0,4,63.3 +412,187.09,Barrel,1,23759,No home garden,0,4,68.6 +413,210.38,Barrel,1,19035,No home garden,0,7,71.9 +414,194.44,No barrel,0,12768,No home garden,0,4,63.7 +415,145.61,Barrel,1,14954,No home garden,0,5,67.7 +416,221.22,No barrel,0,23186,No home garden,0,5,71.6 +417,198.47,No barrel,0,18246,No home garden,0,6,66.7 +418,176.72,Barrel,1,12380,No home garden,0,6,68.6 +419,250.82,No barrel,0,30214,No home garden,0,5,67.3 +420,182.2,No barrel,0,9743,No home garden,0,7,67 +421,167.46,No barrel,0,14253,No home garden,0,6,64 +422,197.23,Barrel,1,16838,No home garden,0,4,74.9 +423,207.56,No barrel,0,21306,No home garden,0,5,60.8 +424,170.31,No barrel,0,12565,No home garden,0,6,72 +425,204.37,Barrel,1,29013,No home garden,0,4,69.1 +426,278.27,No barrel,0,28754,No home garden,0,1,73.1 +427,223.22,Barrel,1,33999,No home garden,0,3,74.6 +428,182.31,No barrel,0,4514,No home garden,0,5,71.6 +429,266.63,No barrel,0,28854,No home garden,0,5,70.2 +430,215.78,Barrel,1,32674,Home garden,1,8,74.8 +431,281.45,No barrel,0,25658,No home garden,0,1,70.6 +432,181.85,Barrel,1,9121,No home garden,0,3,69 +433,192.85,Barrel,1,20175,No home garden,0,7,72.7 +434,228.38,Barrel,1,33906,No home garden,0,4,68.4 +435,220.59,No barrel,0,14747,No home garden,0,2,67 +436,198.36,Barrel,1,27357,Home garden,1,7,69.7 +437,199.85,No barrel,0,19782,No home garden,0,3,67.8 +438,211.86,No barrel,0,3006,No home garden,0,8,76.1 +439,189.65,No barrel,0,4741,No home garden,0,5,76.5 +440,152.97,No barrel,0,6697,Home garden,1,10,60.8 +441,175.19,Barrel,1,19251,No home garden,0,6,67.2 +442,242.46,No barrel,0,16104,No home garden,0,7,77.1 +443,158.63,Barrel,1,4106,No home garden,0,6,73.8 +444,218.88,No barrel,0,11793,No home garden,0,2,65.5 +445,193.6,No barrel,0,11378,No home garden,0,9,72.3 +446,196.82,No barrel,0,14103,No home garden,0,2,61.2 +447,204.42,Barrel,1,30836,No home garden,0,5,64.9 +448,240.96,No barrel,0,20782,Home garden,1,7,73 +449,231.59,No barrel,0,31260,Home garden,1,9,65.3 +450,258.44,No barrel,0,20661,No home garden,0,2,76 +451,220.1,No barrel,0,13977,No home garden,0,4,67.1 +452,190.98,Barrel,1,17355,No home garden,0,2,70.3 +453,166.93,Barrel,1,21482,Home garden,1,8,70 +454,217.34,No barrel,0,13677,No home garden,0,8,72 +455,218.35,No barrel,0,26645,No home garden,0,4,62.3 +456,220.42,No barrel,0,11934,No home garden,0,4,67.2 +457,249.08,No barrel,0,21117,No home garden,0,5,69.3 +458,242,No barrel,0,22077,No home garden,0,3,64.4 +459,213.58,No barrel,0,16688,No home garden,0,6,70.5 +460,232.79,Barrel,1,38528,Home garden,1,6,75.4 +461,207.43,No barrel,0,18839,No home garden,0,3,61.8 +462,205.22,Barrel,1,31148,No home garden,0,4,71.2 +463,230.68,No barrel,0,17226,No home garden,0,5,71.9 +464,193.6,No barrel,0,3494,No home garden,0,5,69.5 +465,187.31,Barrel,1,19242,No home garden,0,8,74 +466,228.4,No barrel,0,17631,No home garden,0,4,67.8 +467,172.5,No barrel,0,7341,No home garden,0,6,68.9 +468,230.74,No barrel,0,36758,Home garden,1,6,70 +469,184.29,Barrel,1,16308,No home garden,0,3,73.9 +470,210.65,No barrel,0,12537,No home garden,0,5,69 +471,160.26,Barrel,1,3592,No home garden,0,6,79.9 +472,223.06,No barrel,0,13035,No home garden,0,3,66.8 +473,243.04,Barrel,1,32190,Home garden,1,5,72 +474,146.45,Barrel,1,18444,No home garden,0,4,56.7 +475,265.33,No barrel,0,33438,Home garden,1,5,70.5 +476,235.59,Barrel,1,33103,No home garden,0,2,64.6 +477,245.16,No barrel,0,21262,No home garden,0,2,64.7 +478,185.56,Barrel,1,17543,No home garden,0,6,76.6 +479,177.04,Barrel,1,18878,No home garden,0,4,69 +480,244.52,No barrel,0,20398,No home garden,0,2,75.2 +481,249.22,No barrel,0,33642,Home garden,1,6,67.7 +482,240.67,Barrel,1,37338,Home garden,1,6,76.6 +483,215.18,Barrel,1,27251,No home garden,0,5,69 +484,183.05,Barrel,1,24893,No home garden,0,6,73 +485,250.48,No barrel,0,19375,No home garden,0,2,71.8 +486,230.5,Barrel,1,28103,No home garden,0,4,77.8 +487,130.87,Barrel,1,15588,Home garden,1,8,62.8 +488,197.92,Barrel,1,25928,No home garden,0,5,72.5 +489,192.44,Barrel,1,31002,No home garden,0,4,63.6 +490,222.21,No barrel,0,8360,No home garden,0,4,73.2 +491,242.42,No barrel,0,20315,No home garden,0,7,72.3 +492,165.82,Barrel,1,21202,Home garden,1,9,66.2 +493,162.3,Barrel,1,17548,No home garden,0,6,64.4 +494,281.39,No barrel,0,21082,No home garden,0,2,75.9 +495,222.26,Barrel,1,25648,No home garden,0,5,72.7 +496,260.23,No barrel,0,36297,Home garden,1,5,65.7 +497,225.02,Barrel,1,20363,No home garden,0,7,83.5 +498,255.21,Barrel,1,38665,Home garden,1,9,73.3 +499,252,No barrel,0,29073,No home garden,0,4,68.5 +500,213.46,No barrel,0,16948,No home garden,0,4,64.1 +501,185.78,Barrel,1,11350,No home garden,0,7,71.5 +502,211.48,Barrel,1,21838,No home garden,0,3,71.8 +503,140.64,Barrel,1,14400,No home garden,0,6,71.6 +504,229.04,Barrel,1,22570,No home garden,0,5,76.1 +505,215.64,No barrel,0,14717,No home garden,0,7,72.8 +506,208.27,No barrel,0,12366,No home garden,0,8,73.4 +507,196.47,Barrel,1,31872,Home garden,1,8,67.5 +508,170.93,Barrel,1,13083,No home garden,0,8,69.6 +509,161.97,No barrel,0,10577,No home garden,0,5,57.6 +510,177.71,Barrel,1,27595,Home garden,1,7,65.7 +511,263.34,No barrel,0,25056,No home garden,0,3,71.1 +512,242.93,No barrel,0,19805,No home garden,0,7,73 +513,221.4,No barrel,0,21849,Home garden,1,8,73.5 +514,208.71,No barrel,0,18702,No home garden,0,4,54.5 +515,204.4,Barrel,1,16773,No home garden,0,3,80.1 +516,159.09,Barrel,1,9143,No home garden,0,6,65.8 +517,184.87,No barrel,0,11769,No home garden,0,5,60.8 +518,261.9,No barrel,0,32678,No home garden,0,5,67.3 +519,205.9,No barrel,0,4896,No home garden,0,3,69.8 +520,283.81,No barrel,0,20312,No home garden,0,1,75.3 +521,178.84,Barrel,1,11744,No home garden,0,2,69.1 +522,266.83,No barrel,0,15112,No home garden,0,5,71.9 +523,211.29,Barrel,1,16830,No home garden,0,3,77.3 +524,236.59,No barrel,0,21597,Home garden,1,8,77.8 +525,206.59,No barrel,0,22765,No home garden,0,5,58.2 +526,266.59,Barrel,1,30844,No home garden,0,4,71.6 +527,174.59,Barrel,1,22372,Home garden,1,10,74.3 +528,209.45,No barrel,0,23827,No home garden,0,5,66.3 +529,224.17,No barrel,0,6480,No home garden,0,4,68.8 +530,225.07,No barrel,0,19272,No home garden,0,6,70.8 +531,215.91,Barrel,1,29946,No home garden,0,3,74.4 +532,212.97,Barrel,1,29853,Home garden,1,6,70.5 +533,237.26,No barrel,0,15135,No home garden,0,6,65.4 +534,187.34,Barrel,1,26229,No home garden,0,6,66.9 +535,225.12,No barrel,0,32483,Home garden,1,7,64.6 +536,252.31,No barrel,0,32054,Home garden,1,7,73.9 +537,198.81,No barrel,0,20563,No home garden,0,6,63.4 +538,154.7,Barrel,1,16656,Home garden,1,9,68.2 +539,193.04,No barrel,0,13443,No home garden,0,7,62.9 +540,245.39,Barrel,1,38758,Home garden,1,6,73.5 +541,198.2,No barrel,0,9706,No home garden,0,7,69.9 +542,218.2,Barrel,1,39542,Home garden,1,6,68.8 +543,226.53,Barrel,1,16232,No home garden,0,5,72 +544,183.85,Barrel,1,23404,Home garden,1,9,72.2 +545,190.54,No barrel,0,6954,No home garden,0,3,64.5 +546,253.05,Barrel,1,22107,No home garden,0,6,82 +547,258.08,Barrel,1,34709,No home garden,0,4,72.6 +548,150.32,Barrel,1,8007,No home garden,0,6,74.4 +549,245.59,No barrel,0,14777,No home garden,0,8,75.9 +550,165.61,Barrel,1,8348,No home garden,0,2,70.8 +551,211.37,No barrel,0,21492,No home garden,0,5,69.7 +552,175.35,No barrel,0,12530,No home garden,0,8,64.2 +553,192.34,Barrel,1,23909,Home garden,1,9,63.5 +554,197.32,No barrel,0,7354,No home garden,0,2,66 +555,217,Barrel,1,27392,No home garden,0,3,71.4 +556,140.64,Barrel,1,12815,No home garden,0,7,66.6 +557,174.55,Barrel,1,14647,No home garden,0,7,73.4 +558,222.5,No barrel,0,19455,No home garden,0,3,73.7 +559,180.56,Barrel,1,14579,No home garden,0,5,72.2 +560,222.7,No barrel,0,14416,No home garden,0,8,74 +561,203.54,Barrel,1,10302,No home garden,0,7,76.1 +562,155.47,Barrel,1,18296,No home garden,0,7,68.4 +563,263.2,Barrel,1,33552,No home garden,0,3,70.6 +564,164.08,Barrel,1,21413,No home garden,0,3,64.8 +565,211.36,No barrel,0,30759,Home garden,1,7,63.9 +566,180.59,Barrel,1,34082,Home garden,1,10,65.5 +567,213.05,Barrel,1,27121,No home garden,0,5,70.5 +568,168.35,No barrel,0,15692,No home garden,0,7,64.5 +569,212.53,No barrel,0,19092,No home garden,0,5,68 +570,229.46,Barrel,1,27562,Home garden,1,8,70.7 +571,213.08,Barrel,1,22329,No home garden,0,5,78.3 +572,226,Barrel,1,27472,No home garden,0,3,84.2 +573,236.8,No barrel,0,22427,No home garden,0,4,67.4 +574,195.56,No barrel,0,7057,No home garden,0,6,75.8 +575,197.6,Barrel,1,28142,No home garden,0,5,75.2 +576,224.9,No barrel,0,15252,No home garden,0,7,69 +577,257.73,No barrel,0,23436,No home garden,0,4,72.3 +578,225.46,Barrel,1,16473,No home garden,0,4,79 +579,240.2,No barrel,0,13721,No home garden,0,2,73.6 +580,120.28,Barrel,1,11138,No home garden,0,7,62.3 +581,167.21,Barrel,1,14073,No home garden,0,5,66.1 +582,237.93,No barrel,0,24238,No home garden,0,4,71.6 +583,226.52,No barrel,0,21808,Home garden,1,7,60.2 +584,205.41,No barrel,0,13758,No home garden,0,5,60.8 +585,273.88,No barrel,0,29175,No home garden,0,4,69.7 +586,223.22,No barrel,0,17458,No home garden,0,8,70.4 +587,198.19,Barrel,1,15247,No home garden,0,2,77.9 +588,146.64,Barrel,1,10960,No home garden,0,7,70.2 +589,293.19,No barrel,0,33810,Home garden,1,6,74.2 +590,213.35,Barrel,1,13565,No home garden,0,7,76 +591,280.41,No barrel,0,22785,No home garden,0,1,82.1 +592,195.31,Barrel,1,24474,No home garden,0,6,69.4 +593,227.33,No barrel,0,18669,Home garden,1,9,69.1 +594,196.33,Barrel,1,27232,Home garden,1,8,69.9 +595,189.96,Barrel,1,15372,Home garden,1,9,71.3 +596,224.11,No barrel,0,25845,No home garden,0,4,66.7 +597,222.38,No barrel,0,24886,No home garden,0,1,64.5 +598,228.31,Barrel,1,18693,No home garden,0,3,74.6 +599,197.8,No barrel,0,14287,No home garden,0,5,64 +600,216.34,Barrel,1,36451,Home garden,1,9,74.4 +601,218.23,No barrel,0,15306,No home garden,0,7,72 +602,194.71,Barrel,1,22824,Home garden,1,8,72.1 +603,246.71,No barrel,0,26687,No home garden,0,3,73.9 +604,257.87,No barrel,0,16737,No home garden,0,4,75.4 +605,195.02,No barrel,0,14883,No home garden,0,8,67.5 +606,269.92,No barrel,0,29009,No home garden,0,3,67.8 +607,167.5,Barrel,1,13943,No home garden,0,6,63.5 +608,173.21,No barrel,0,9979,No home garden,0,6,58.6 +609,225.84,No barrel,0,26204,No home garden,0,2,61.8 +610,209.97,Barrel,1,19388,No home garden,0,5,75.4 +611,242.14,No barrel,0,17422,No home garden,0,2,70.2 +612,179.25,Barrel,1,33664,Home garden,1,7,62.4 +613,244.03,No barrel,0,10897,No home garden,0,2,77.2 +614,249.77,No barrel,0,24942,No home garden,0,3,71.7 +615,219.91,Barrel,1,29429,No home garden,0,5,70.9 +616,206.13,No barrel,0,8666,No home garden,0,2,65 +617,216.16,Barrel,1,26188,Home garden,1,8,71.8 +618,223.26,No barrel,0,19414,No home garden,0,6,66.9 +619,274.67,No barrel,0,27133,Home garden,1,8,73.2 +620,232.94,No barrel,0,25427,No home garden,0,3,61.1 +621,247.47,No barrel,0,28180,Home garden,1,7,73.8 +622,205.89,No barrel,0,10410,No home garden,0,2,67.1 +623,211.8,Barrel,1,25308,No home garden,0,5,80.7 +624,230.7,No barrel,0,20076,No home garden,0,6,74 +625,205.17,Barrel,1,20878,No home garden,0,7,72.8 +626,255.14,No barrel,0,32673,Home garden,1,7,73.7 +627,190.12,No barrel,0,8868,No home garden,0,3,71.5 +628,173.93,Barrel,1,11347,No home garden,0,3,66 +629,197.74,Barrel,1,25669,No home garden,0,6,73 +630,216.99,No barrel,0,20334,No home garden,0,7,73.8 +631,194.53,Barrel,1,17573,No home garden,0,4,73.6 +632,163.39,No barrel,0,10404,No home garden,0,4,64.3 +633,234.34,No barrel,0,16954,No home garden,0,2,74.1 +634,234.39,No barrel,0,23877,No home garden,0,2,70.4 +635,289.35,No barrel,0,35562,No home garden,0,4,74.1 +636,105.78,Barrel,1,2927,No home garden,0,5,65.1 +637,177.02,No barrel,0,16845,No home garden,0,6,67.6 +638,213.58,Barrel,1,27645,No home garden,0,4,72.1 +639,271.04,No barrel,0,24383,No home garden,0,1,67.8 +640,220.51,No barrel,0,22018,No home garden,0,7,71.2 +641,223.73,No barrel,0,22657,No home garden,0,5,69.8 +642,204.07,No barrel,0,13490,No home garden,0,4,63.8 +643,233.91,No barrel,0,24820,No home garden,0,3,70.8 +644,191.42,Barrel,1,25013,No home garden,0,5,68.7 +645,222.79,Barrel,1,21438,No home garden,0,6,75.5 +646,207.58,No barrel,0,15381,No home garden,0,3,62.4 +647,218.19,No barrel,0,19733,No home garden,0,8,68.3 +648,150.19,Barrel,1,15734,No home garden,0,6,67.6 +649,217.89,No barrel,0,24623,No home garden,0,6,63.2 +650,184.54,Barrel,1,20802,No home garden,0,5,66.5 +651,248.83,No barrel,0,36081,Home garden,1,5,67.1 +652,210.94,Barrel,1,19994,No home garden,0,1,73.5 +653,154.2,Barrel,1,17522,No home garden,0,7,64.1 +654,178.6,Barrel,1,10455,No home garden,0,4,76.7 +655,205.62,No barrel,0,24607,No home garden,0,4,62.3 +656,231.19,No barrel,0,28485,No home garden,0,4,61.8 +657,280.83,No barrel,0,27098,Home garden,1,6,78.2 +658,227.73,No barrel,0,26220,No home garden,0,3,67.5 +659,186.61,Barrel,1,21691,No home garden,0,7,72.5 +660,182.23,Barrel,1,19442,No home garden,0,6,73.2 +661,261.55,No barrel,0,27580,No home garden,0,4,69.9 +662,182.72,Barrel,1,12406,No home garden,0,6,69.1 +663,245.41,No barrel,0,14855,No home garden,0,6,75.5 +664,242.45,Barrel,1,38738,Home garden,1,7,77.8 +665,179.35,No barrel,0,15415,No home garden,0,7,69.9 +666,219.94,No barrel,0,22499,No home garden,0,4,64.9 +667,135.34,Barrel,1,7488,No home garden,0,8,67.7 +668,189.82,No barrel,0,8185,No home garden,0,4,64.8 +669,244.04,No barrel,0,17869,No home garden,0,4,67.5 +670,196.99,Barrel,1,22447,No home garden,0,5,70.6 +671,233.74,No barrel,0,35925,Home garden,1,7,66 +672,169.4,Barrel,1,21600,Home garden,1,7,61.5 +673,236.23,No barrel,0,27383,No home garden,0,4,68.5 +674,252.12,No barrel,0,31943,No home garden,0,2,63.8 +675,229.5,Barrel,1,29069,No home garden,0,4,72.6 +676,221.6,No barrel,0,25368,No home garden,0,6,75.1 +677,192.15,Barrel,1,7620,No home garden,0,7,76.7 +678,186.31,Barrel,1,11559,No home garden,0,3,65.7 +679,225.33,No barrel,0,20156,No home garden,0,6,71.6 +680,212.5,Barrel,1,26454,No home garden,0,4,67.3 +681,231.95,No barrel,0,18157,No home garden,0,6,68.8 +682,260.52,No barrel,0,21887,No home garden,0,5,70.6 +683,219.13,Barrel,1,21341,No home garden,0,3,72.4 +684,206.43,No barrel,0,15732,Home garden,1,8,67.5 +685,191.73,Barrel,1,21104,No home garden,0,4,70.3 +686,234.46,No barrel,0,18120,No home garden,0,3,68.3 +687,188.34,Barrel,1,34938,Home garden,1,6,66.5 +688,209.42,Barrel,1,25992,No home garden,0,3,75.6 +689,251.91,No barrel,0,27438,No home garden,0,5,70.9 +690,209.7,No barrel,0,22823,No home garden,0,5,60.2 +691,196.87,Barrel,1,26064,No home garden,0,4,61.8 +692,174.26,No barrel,0,549,No home garden,0,8,69.5 +693,190.47,No barrel,0,15361,No home garden,0,5,66.8 +694,224.13,No barrel,0,24124,No home garden,0,4,66.6 +695,236.64,No barrel,0,21801,No home garden,0,3,71.8 +696,227.8,Barrel,1,37408,Home garden,1,6,74.8 +697,225.21,No barrel,0,23658,No home garden,0,6,69.9 +698,165.08,Barrel,1,18233,No home garden,0,7,71.8 +699,225.5,No barrel,0,28641,Home garden,1,7,65.7 +700,187.45,Barrel,1,24152,No home garden,0,2,70.7 +701,261.75,No barrel,0,26698,No home garden,0,5,63.6 +702,191.6,No barrel,0,16131,No home garden,0,5,63.8 +703,242.54,No barrel,0,8616,No home garden,0,4,68.3 +704,198.39,No barrel,0,11635,No home garden,0,8,70.7 +705,215.55,No barrel,0,18597,No home garden,0,6,66.2 +706,133.24,Barrel,1,16236,Home garden,1,8,71.4 +707,198.61,No barrel,0,29860,No home garden,0,5,61.1 +708,210.97,No barrel,0,12764,No home garden,0,2,70.1 +709,218.11,Barrel,1,28313,No home garden,0,5,74.5 +710,184.82,Barrel,1,16386,No home garden,0,4,75.2 +711,210.96,No barrel,0,22392,No home garden,0,6,65.6 +712,146.96,Barrel,1,15721,No home garden,0,5,66.6 +713,186.21,Barrel,1,16324,No home garden,0,4,75 +714,197.4,Barrel,1,24018,No home garden,0,6,77 +715,234.15,No barrel,0,22116,No home garden,0,2,70.9 +716,277.87,No barrel,0,25170,No home garden,0,5,73.1 +717,238.9,No barrel,0,14256,No home garden,0,3,69.1 +718,200.69,No barrel,0,12241,No home garden,0,2,64.7 +719,232.64,Barrel,1,16959,No home garden,0,1,75 +720,172.66,No barrel,0,8628,No home garden,0,8,68.9 +721,215.56,Barrel,1,23062,No home garden,0,4,70.3 +722,223.53,Barrel,1,28742,Home garden,1,9,77.7 +723,221.67,Barrel,1,30654,No home garden,0,4,69.4 +724,221.08,Barrel,1,22132,No home garden,0,7,78.7 +725,189.98,No barrel,0,6524,No home garden,0,7,67.8 +726,170.77,Barrel,1,17930,No home garden,0,6,64 +727,180.23,No barrel,0,10092,No home garden,0,7,71.2 +728,206.15,Barrel,1,21178,Home garden,1,9,72.8 +729,235.27,No barrel,0,20696,Home garden,1,9,69.2 +730,188.48,Barrel,1,22093,No home garden,0,5,71.3 +731,197.21,Barrel,1,13794,No home garden,0,1,74.5 +732,213.48,No barrel,0,23055,No home garden,0,6,70.6 +733,210.07,No barrel,0,15432,No home garden,0,5,68.5 +734,183.96,Barrel,1,18970,Home garden,1,9,75.4 +735,201.61,No barrel,0,11226,No home garden,0,3,72.4 +736,140.2,Barrel,1,2196,No home garden,0,7,73.8 +737,210.8,No barrel,0,25515,No home garden,0,5,68 +738,220,Barrel,1,32849,No home garden,0,2,72.6 +739,219.99,Barrel,1,22298,No home garden,0,5,73.3 +740,169.23,Barrel,1,14141,No home garden,0,5,66.1 +741,166.39,No barrel,0,2268,No home garden,0,8,66.4 +742,220.68,No barrel,0,24530,Home garden,1,9,62.7 +743,263.14,No barrel,0,23996,No home garden,0,5,70.4 +744,181.51,Barrel,1,8212,No home garden,0,6,80.5 +745,189.41,Barrel,1,20135,Home garden,1,8,74.6 +746,218.85,No barrel,0,19855,No home garden,0,5,67.8 +747,202.21,No barrel,0,16480,No home garden,0,8,66.8 +748,216.55,No barrel,0,17797,No home garden,0,6,65 +749,254.94,No barrel,0,16245,No home garden,0,3,70.4 +750,146.36,Barrel,1,3529,No home garden,0,4,73.3 +751,224.02,No barrel,0,15371,No home garden,0,1,70.2 +752,223.21,No barrel,0,19178,Home garden,1,8,76.2 +753,236.81,Barrel,1,27137,No home garden,0,5,77.9 +754,193.61,Barrel,1,26178,No home garden,0,6,63.5 +755,156.52,Barrel,1,3828,No home garden,0,8,75.3 +756,227.36,No barrel,0,19288,Home garden,1,9,73.4 +757,205.44,No barrel,0,13130,No home garden,0,3,69.2 +758,180.15,Barrel,1,16319,No home garden,0,4,68.9 +759,236.68,No barrel,0,15926,No home garden,0,3,73.2 +760,256.78,No barrel,0,12326,No home garden,0,4,73.3 +761,252.18,No barrel,0,29719,No home garden,0,5,63.7 +762,193.8,No barrel,0,11896,No home garden,0,7,63.5 +763,237.37,No barrel,0,26218,No home garden,0,3,67.7 +764,218.11,No barrel,0,10377,No home garden,0,5,72.3 +765,240.98,No barrel,0,25653,No home garden,0,4,70.6 +766,266.25,No barrel,0,35489,Home garden,1,6,67.2 +767,131.04,Barrel,1,14360,No home garden,0,5,57.5 +768,253.91,No barrel,0,24151,No home garden,0,3,63.5 +769,264.42,No barrel,0,14933,No home garden,0,4,80.9 +770,255.59,Barrel,1,33609,Home garden,1,6,81.4 +771,255.52,No barrel,0,14086,No home garden,0,6,76 +772,227.16,No barrel,0,25814,Home garden,1,9,70.6 +773,144.56,Barrel,1,3289,No home garden,0,5,69.4 +774,265.35,No barrel,0,17809,No home garden,0,2,76.5 +775,161.33,Barrel,1,11130,No home garden,0,8,78.1 +776,225.57,No barrel,0,21940,No home garden,0,4,58.7 +777,235.05,No barrel,0,18608,No home garden,0,5,65.9 +778,221.22,Barrel,1,30507,Home garden,1,6,71.6 +779,229.29,No barrel,0,29773,Home garden,1,9,66.5 +780,185.62,No barrel,0,5527,No home garden,0,8,70.6 +781,164.76,Barrel,1,13841,No home garden,0,6,67.1 +782,234.07,No barrel,0,21441,No home garden,0,6,72.1 +783,259.17,Barrel,1,35246,Home garden,1,5,77 +784,249.75,No barrel,0,29818,No home garden,0,5,71.6 +785,189.67,Barrel,1,16193,No home garden,0,8,74.8 +786,219.24,Barrel,1,27051,No home garden,0,4,73.6 +787,239.79,Barrel,1,31655,No home garden,0,4,71.9 +788,227.43,No barrel,0,8374,No home garden,0,3,68.6 +789,259.88,No barrel,0,30400,Home garden,1,8,70.6 +790,265.19,No barrel,0,24938,No home garden,0,3,74 +791,193.24,Barrel,1,10882,No home garden,0,6,68.7 +792,185.77,Barrel,1,24914,No home garden,0,5,77.2 +793,203.59,No barrel,0,8918,No home garden,0,3,70 +794,262.42,No barrel,0,35741,Home garden,1,7,66.6 +795,191.32,Barrel,1,20410,No home garden,0,3,71.7 +796,250.46,No barrel,0,32639,No home garden,0,3,62.2 +797,234.39,Barrel,1,21733,No home garden,0,3,78.6 +798,170.64,Barrel,1,24565,Home garden,1,9,65.2 +799,191.93,No barrel,0,7661,No home garden,0,9,67.1 +800,156.85,Barrel,1,3633,No home garden,0,4,75.1 +801,196.3,Barrel,1,22057,Home garden,1,7,73.2 +802,191.89,Barrel,1,26372,No home garden,0,6,66.3 +803,234.87,No barrel,0,32699,Home garden,1,5,61 +804,235.05,No barrel,0,27322,No home garden,0,5,68.7 +805,175.14,Barrel,1,25433,No home garden,0,5,74.5 +806,226.19,Barrel,1,23745,Home garden,1,7,75.4 +807,197.31,No barrel,0,15209,No home garden,0,5,65.7 +808,235.31,No barrel,0,20153,No home garden,0,6,68 +809,246.4,No barrel,0,30153,Home garden,1,9,69.1 +810,155.82,No barrel,0,4565,No home garden,0,8,70.2 +811,217.2,No barrel,0,19301,No home garden,0,5,63 +812,188.68,No barrel,0,9641,No home garden,0,6,69.4 +813,181.37,Barrel,1,19682,No home garden,0,5,65.9 +814,187.14,Barrel,1,22598,No home garden,0,6,69.6 +815,161.35,No barrel,0,11515,No home garden,0,7,59.3 +816,197.48,Barrel,1,22563,No home garden,0,6,74.3 +817,213.81,Barrel,1,13822,No home garden,0,6,78.2 +818,171.01,Barrel,1,15346,No home garden,0,7,66.8 +819,237.19,No barrel,0,36793,Home garden,1,5,63.6 +820,198.76,No barrel,0,13357,No home garden,0,6,64.9 +821,186.66,No barrel,0,9571,No home garden,0,4,61.7 +822,226.83,No barrel,0,21392,No home garden,0,5,70.2 +823,191.18,No barrel,0,12552,No home garden,0,3,63.8 +824,253.1,Barrel,1,36397,Home garden,1,6,75.2 +825,264.02,No barrel,0,26390,No home garden,0,3,72.6 +826,207.36,Barrel,1,21210,No home garden,0,4,71.4 +827,232.32,No barrel,0,16352,No home garden,0,2,76 +828,202.49,No barrel,0,578,No home garden,0,9,71.2 +829,159.97,No barrel,0,8083,No home garden,0,5,59.1 +830,229.66,No barrel,0,18242,No home garden,0,7,68.1 +831,227.82,No barrel,0,6713,No home garden,0,3,73.6 +832,182.12,Barrel,1,24485,No home garden,0,3,70.8 +833,178.44,Barrel,1,22983,Home garden,1,9,67.2 +834,198.73,Barrel,1,25895,No home garden,0,4,63.1 +835,202.28,Barrel,1,22591,Home garden,1,7,75.8 +836,228.88,Barrel,1,24583,Home garden,1,7,77.5 +837,179.95,Barrel,1,18250,Home garden,1,10,65.2 +838,240.39,No barrel,0,16241,No home garden,0,2,70.6 +839,218.34,No barrel,0,21985,No home garden,0,5,66.5 +840,274.54,Barrel,1,34779,No home garden,0,1,74.9 +841,278.52,No barrel,0,37833,No home garden,0,3,70.9 +842,198.01,No barrel,0,22754,No home garden,0,6,61 +843,182.75,Barrel,1,28967,Home garden,1,9,65.7 +844,230.82,No barrel,0,15540,No home garden,0,3,70 +845,216.36,No barrel,0,9884,No home garden,0,8,65.7 +846,178.02,Barrel,1,18997,No home garden,0,2,66.2 +847,175.34,No barrel,0,26702,No home garden,0,6,60.9 +848,192.7,Barrel,1,26614,No home garden,0,5,66.4 +849,195.82,No barrel,0,20895,No home garden,0,4,63.5 +850,180.6,Barrel,1,11650,No home garden,0,4,68.7 +851,167.16,Barrel,1,16578,Home garden,1,9,69.7 +852,236.27,Barrel,1,29836,No home garden,0,1,68.8 +853,158.06,Barrel,1,16290,No home garden,0,7,71.1 +854,202.32,No barrel,0,25703,Home garden,1,7,60 +855,214.61,Barrel,1,33427,No home garden,0,4,75.8 +856,228.15,No barrel,0,15338,No home garden,0,2,66 +857,186.64,Barrel,1,11451,No home garden,0,5,78.9 +858,253.13,No barrel,0,18632,No home garden,0,3,69.7 +859,262.47,No barrel,0,19158,No home garden,0,6,74.7 +860,178.24,Barrel,1,20616,No home garden,0,6,64 +861,244.13,No barrel,0,27697,No home garden,0,3,68.4 +862,179.11,Barrel,1,22418,No home garden,0,5,76.1 +863,242.59,No barrel,0,33517,No home garden,0,3,69.7 +864,176.5,No barrel,0,17735,No home garden,0,6,61.9 +865,203.7,Barrel,1,29616,Home garden,1,7,76.5 +866,169.36,Barrel,1,12691,No home garden,0,3,62.6 +867,234.24,No barrel,0,23914,No home garden,0,2,65 +868,267.79,No barrel,0,25087,No home garden,0,4,77.2 +869,215.44,Barrel,1,19894,Home garden,1,8,76.7 +870,180.26,No barrel,0,14487,No home garden,0,6,68.7 +871,158.12,Barrel,1,7999,No home garden,0,3,73.3 +872,203.57,Barrel,1,18378,No home garden,0,5,72.3 +873,204.05,Barrel,1,16859,No home garden,0,4,74.1 +874,198.39,Barrel,1,31389,Home garden,1,8,75.4 +875,229.53,No barrel,0,12188,No home garden,0,3,66.4 +876,227.46,Barrel,1,39268,Home garden,1,8,72 +877,191.33,No barrel,0,21270,No home garden,0,5,67.5 +878,206.46,Barrel,1,22792,Home garden,1,7,73.2 +879,215.28,No barrel,0,11058,No home garden,0,5,73.2 +880,235.93,No barrel,0,12646,No home garden,0,2,71.6 +881,186.33,Barrel,1,22826,No home garden,0,5,71.4 +882,201.8,No barrel,0,26503,No home garden,0,5,58 +883,172.83,Barrel,1,19463,Home garden,1,10,76.8 +884,216.56,No barrel,0,8725,No home garden,0,5,70.6 +885,243.61,Barrel,1,35880,Home garden,1,9,75 +886,202.01,Barrel,1,21336,No home garden,0,5,65.2 +887,211.99,No barrel,0,10678,No home garden,0,5,74.6 +888,183.08,No barrel,0,2978,No home garden,0,4,68.4 +889,274.78,No barrel,0,28048,No home garden,0,2,67.8 +890,202.7,No barrel,0,12284,No home garden,0,6,71.8 +891,179.75,Barrel,1,13454,No home garden,0,6,67.2 +892,237.03,Barrel,1,22660,No home garden,0,2,73.9 +893,211.27,No barrel,0,6166,No home garden,0,4,65.3 +894,216.33,Barrel,1,32681,Home garden,1,7,73.1 +895,140.34,No barrel,0,4366,No home garden,0,5,61.3 +896,256.11,No barrel,0,27298,No home garden,0,4,70.4 +897,232.97,No barrel,0,27593,No home garden,0,4,68 +898,208,No barrel,0,23223,Home garden,1,8,65.2 +899,249.9,Barrel,1,32353,No home garden,0,1,69.3 +900,219.81,Barrel,1,26797,Home garden,1,7,70.2 +901,226.51,No barrel,0,20615,No home garden,0,3,76.8 +902,257.36,No barrel,0,18907,No home garden,0,5,73.4 +903,255.09,No barrel,0,27026,No home garden,0,5,74.6 +904,190.27,Barrel,1,16232,No home garden,0,6,75.8 +905,223.52,Barrel,1,21465,No home garden,0,2,76.5 +906,225.74,No barrel,0,25381,Home garden,1,8,66.4 +907,173.27,Barrel,1,14382,No home garden,0,6,78.3 +908,198.85,No barrel,0,12150,No home garden,0,4,66.5 +909,283.31,No barrel,0,34972,No home garden,0,5,77.8 +910,244.38,No barrel,0,17830,No home garden,0,5,72.7 +911,219.56,Barrel,1,27642,No home garden,0,3,75.8 +912,255.73,No barrel,0,25252,No home garden,0,2,71.6 +913,233.37,No barrel,0,30511,No home garden,0,5,66 +914,226.51,Barrel,1,29480,No home garden,0,4,73.4 +915,256.29,No barrel,0,37873,Home garden,1,6,67.9 +916,199.81,No barrel,0,6850,No home garden,0,3,69.3 +917,226.27,No barrel,0,20854,No home garden,0,4,74 +918,155.86,Barrel,1,18330,No home garden,0,7,63.3 +919,203.35,Barrel,1,33635,Home garden,1,6,62.8 +920,254.24,No barrel,0,16453,No home garden,0,5,75.1 +921,244.01,No barrel,0,27924,Home garden,1,8,70.4 +922,197.02,Barrel,1,21082,No home garden,0,6,76.3 +923,226.9,No barrel,0,13827,No home garden,0,7,67.1 +924,176.95,No barrel,0,4359,No home garden,0,5,64.4 +925,248.81,No barrel,0,20532,No home garden,0,6,73 +926,233.23,No barrel,0,22026,No home garden,0,7,69.8 +927,293.01,No barrel,0,29683,No home garden,0,5,72.4 +928,180.83,No barrel,0,27614,Home garden,1,8,58 +929,202.37,No barrel,0,12226,No home garden,0,6,70.4 +930,215.63,No barrel,0,19558,No home garden,0,7,68.5 +931,241.12,No barrel,0,27282,Home garden,1,7,67.4 +932,167.94,Barrel,1,15538,No home garden,0,6,67 +933,226.36,No barrel,0,7607,No home garden,0,5,67 +934,216.05,No barrel,0,21544,No home garden,0,5,65.5 +935,192.35,No barrel,0,21946,No home garden,0,5,55.6 +936,232.39,Barrel,1,24876,No home garden,0,5,73.8 +937,152.65,No barrel,0,4683,No home garden,0,8,62.5 +938,224.49,No barrel,0,22359,No home garden,0,2,62.6 +939,164.25,No barrel,0,12169,No home garden,0,7,66.9 +940,235,No barrel,0,15785,No home garden,0,5,69.5 +941,165.67,Barrel,1,10643,No home garden,0,5,68.9 +942,248.19,No barrel,0,20226,No home garden,0,4,68.1 +943,220.91,Barrel,1,27944,No home garden,0,4,72.2 +944,157,Barrel,1,8908,No home garden,0,6,66.7 +945,215.66,Barrel,1,27379,Home garden,1,7,70.8 +946,214.02,No barrel,0,12906,No home garden,0,3,75.9 +947,167.28,Barrel,1,16896,Home garden,1,9,71.2 +948,252.15,No barrel,0,27276,No home garden,0,5,70.9 +949,255.53,No barrel,0,31045,Home garden,1,6,70.2 +950,214.92,No barrel,0,10496,No home garden,0,2,70.5 +951,200.35,Barrel,1,22790,No home garden,0,2,72.6 +952,197.45,Barrel,1,25327,No home garden,0,1,65.9 +953,230.15,No barrel,0,25363,No home garden,0,4,60.8 +954,193.38,Barrel,1,32961,Home garden,1,6,63.1 +955,193.15,Barrel,1,22705,No home garden,0,2,67.1 +956,201.29,Barrel,1,18017,No home garden,0,8,74 +957,211.24,Barrel,1,22284,No home garden,0,4,62.9 +958,192.12,Barrel,1,21857,Home garden,1,8,72 +959,229.78,No barrel,0,26491,No home garden,0,5,65.5 +960,199.56,No barrel,0,23302,Home garden,1,7,59.5 +961,214.02,No barrel,0,13099,No home garden,0,4,69.4 +962,196.07,No barrel,0,14754,No home garden,0,6,68.4 +963,190.26,Barrel,1,10967,No home garden,0,5,72.3 +964,180.27,Barrel,1,17775,No home garden,0,4,69.7 +965,195.54,Barrel,1,24110,Home garden,1,8,72.3 +966,172.3,No barrel,0,3360,No home garden,0,4,56 +967,132.72,Barrel,1,10354,No home garden,0,8,69 +968,197.97,No barrel,0,19659,No home garden,0,4,62.5 +969,228.95,No barrel,0,22487,No home garden,0,6,65.2 +970,219.8,No barrel,0,31642,Home garden,1,6,66.5 +971,200.37,No barrel,0,5483,No home garden,0,7,76.8 +972,182.05,No barrel,0,4027,No home garden,0,7,75.4 +973,224.36,No barrel,0,16348,Home garden,1,9,69.8 +974,173.1,Barrel,1,15894,No home garden,0,4,66.7 +975,210.4,No barrel,0,19340,No home garden,0,6,71.2 +976,212.41,No barrel,0,13720,No home garden,0,3,69.8 +977,175.84,No barrel,0,14670,No home garden,0,7,62.4 +978,247.44,No barrel,0,16959,No home garden,0,2,70.5 +979,178.74,Barrel,1,17577,No home garden,0,6,73.3 +980,168.36,No barrel,0,8522,No home garden,0,6,63.6 +981,213.47,No barrel,0,9612,No home garden,0,8,75.8 +982,187.27,Barrel,1,23263,No home garden,0,5,69.4 +983,190.47,No barrel,0,16063,No home garden,0,7,66.6 +984,187.9,No barrel,0,18987,No home garden,0,7,59.4 +985,145.53,Barrel,1,21636,Home garden,1,9,65.6 +986,185.92,No barrel,0,18632,No home garden,0,5,64 +987,211.46,No barrel,0,11631,No home garden,0,8,70.2 +988,183.18,Barrel,1,20197,No home garden,0,6,66.3 +989,244.77,No barrel,0,23338,No home garden,0,6,72.1 +990,224.93,No barrel,0,17410,No home garden,0,3,69.6 +991,183.5,No barrel,0,9499,No home garden,0,3,60.8 +992,218.5,No barrel,0,21726,No home garden,0,5,65.9 +993,207.89,Barrel,1,18365,No home garden,0,3,75.1 +994,229.12,No barrel,0,15905,No home garden,0,5,70.6 +995,211.59,Barrel,1,19262,No home garden,0,4,74.8 +996,203.24,No barrel,0,5754,No home garden,0,7,65 +997,187.83,Barrel,1,17152,No home garden,0,4,69.8 +998,232.71,No barrel,0,32157,No home garden,0,5,69.1 +999,183.89,Barrel,1,20137,No home garden,0,3,74.8 +1000,255.38,No barrel,0,24143,No home garden,0,3,74.3 +1001,247.7,No barrel,0,17332,No home garden,0,5,78.1 +1002,238.39,No barrel,0,24896,Home garden,1,7,66.3 +1003,195.84,No barrel,0,25760,No home garden,0,6,66.4 +1004,192.77,No barrel,0,30962,No home garden,0,5,55.2 +1005,158.12,Barrel,1,9252,No home garden,0,6,72.1 +1006,213.2,No barrel,0,3750,No home garden,0,4,74.4 +1007,253.05,Barrel,1,25306,No home garden,0,5,73.6 +1008,234.32,No barrel,0,31372,No home garden,0,5,66.7 +1009,161.6,Barrel,1,15723,No home garden,0,3,68.6 +1010,213.04,No barrel,0,12614,No home garden,0,6,75.6 +1011,189.39,No barrel,0,14330,Home garden,1,9,62.1 +1012,191.8,Barrel,1,22121,No home garden,0,5,70.3 +1013,278.31,No barrel,0,29188,Home garden,1,6,70.1 +1014,183.72,Barrel,1,15760,No home garden,0,6,68.1 +1015,203.67,Barrel,1,24025,No home garden,0,3,70.4 +1016,205.19,Barrel,1,22898,No home garden,0,4,74.5 +1017,204.03,No barrel,0,14733,No home garden,0,8,67 +1018,274.01,No barrel,0,33228,No home garden,0,1,68.9 +1019,227.75,Barrel,1,21052,No home garden,0,5,78.3 +1020,202.15,Barrel,1,21863,No home garden,0,2,70.9 +1021,210,No barrel,0,21669,No home garden,0,6,70.1 +1022,185.2,No barrel,0,20772,Home garden,1,8,60.5 +1023,195.04,No barrel,0,15157,No home garden,0,7,63.8 +1024,142.43,Barrel,1,13206,Home garden,1,9,63.3 +1025,226.44,No barrel,0,29757,No home garden,0,6,65.5 +1026,258.56,No barrel,0,13091,No home garden,0,3,67.8 +1027,257.29,Barrel,1,32477,Home garden,1,8,80.8 +1028,223.79,No barrel,0,16371,No home garden,0,2,66.6 +1029,249.65,No barrel,0,12828,No home garden,0,4,72.2 +1030,208.08,No barrel,0,9805,No home garden,0,5,74 +1031,194.92,Barrel,1,16952,No home garden,0,6,75.6 +1032,156.54,Barrel,1,7986,Home garden,1,9,63.8 +1033,213.92,No barrel,0,23136,No home garden,0,4,65 +1034,289.87,No barrel,0,28484,No home garden,0,4,78.9 +1035,206.54,No barrel,0,17080,No home garden,0,6,66 +1036,234.18,Barrel,1,19544,No home garden,0,3,83 +1037,221.77,No barrel,0,27992,Home garden,1,9,72.3 +1038,214.94,Barrel,1,34266,No home garden,0,4,73.1 +1039,184.99,Barrel,1,18854,No home garden,0,2,68.5 +1040,259.47,No barrel,0,29605,No home garden,0,4,67.3 +1041,206.06,Barrel,1,14006,No home garden,0,4,73.7 +1042,191,No barrel,0,12591,No home garden,0,4,69.5 +1043,184.78,No barrel,0,6119,No home garden,0,5,65.5 +1044,186,No barrel,0,13450,No home garden,0,6,62.1 +1045,200.94,Barrel,1,27000,No home garden,0,3,67.6 +1046,206.38,Barrel,1,14410,No home garden,0,5,78.5 +1047,189.12,Barrel,1,8131,No home garden,0,6,77.8 +1048,208.03,No barrel,0,16159,No home garden,0,4,60.7 +1049,201.09,No barrel,0,16741,No home garden,0,7,62.1 +1050,173.58,Barrel,1,33445,Home garden,1,7,65.7 +1051,225.38,Barrel,1,22834,No home garden,0,3,77 +1052,214.01,Barrel,1,37069,No home garden,0,4,63.7 +1053,154.63,No barrel,0,7027,No home garden,0,5,63.3 +1054,201.55,No barrel,0,10845,No home garden,0,5,65.1 +1055,164.48,Barrel,1,11207,No home garden,0,6,72.3 +1056,225.52,No barrel,0,21747,No home garden,0,4,65.4 +1057,281.98,No barrel,0,35464,No home garden,0,2,68 +1058,189.34,Barrel,1,27188,Home garden,1,10,65.6 +1059,190.13,No barrel,0,10715,No home garden,0,8,69.3 +1060,250.17,No barrel,0,20218,No home garden,0,5,76.5 +1061,230.38,No barrel,0,5469,No home garden,0,5,77 +1062,282.42,No barrel,0,38515,No home garden,0,3,71.1 +1063,191.33,Barrel,1,19876,No home garden,0,4,66.5 +1064,171.01,No barrel,0,812,No home garden,0,4,66.7 +1065,229.47,No barrel,0,30257,Home garden,1,7,68 +1066,142.96,Barrel,1,4280,No home garden,0,5,67.5 +1067,282.57,No barrel,0,33649,Home garden,1,5,76.9 +1068,213.4,No barrel,0,16589,No home garden,0,3,68.6 +1069,192.65,Barrel,1,23615,Home garden,1,9,75.8 +1070,191.92,No barrel,0,18831,Home garden,1,8,66.4 +1071,201.44,Barrel,1,25388,No home garden,0,6,72.7 +1072,238.23,No barrel,0,14172,No home garden,0,2,72 +1073,225.12,No barrel,0,18390,No home garden,0,8,68.6 +1074,242.85,No barrel,0,23242,No home garden,0,5,62.4 +1075,238.93,No barrel,0,11722,No home garden,0,5,75.4 +1076,247.68,No barrel,0,29263,Home garden,1,6,69.9 +1077,202.81,No barrel,0,16039,No home garden,0,5,65.2 +1078,232.76,Barrel,1,36844,Home garden,1,8,72 +1079,168.96,No barrel,0,1490,No home garden,0,7,68.8 +1080,270.26,No barrel,0,38897,Home garden,1,8,64.4 +1081,190.58,Barrel,1,28530,No home garden,0,6,70.5 +1082,201.21,Barrel,1,32333,No home garden,0,4,66.9 +1083,159.5,Barrel,1,20838,No home garden,0,5,68.3 +1084,221.74,No barrel,0,22235,No home garden,0,5,71.3 +1085,249.21,No barrel,0,28199,No home garden,0,1,64.8 +1086,202.15,No barrel,0,1852,No home garden,0,5,74.7 +1087,168.22,Barrel,1,17425,Home garden,1,9,75 +1088,247.6,No barrel,0,25560,No home garden,0,5,71.2 +1089,192.87,Barrel,1,14659,No home garden,0,7,77.8 +1090,194.86,No barrel,0,17000,No home garden,0,6,66.7 +1091,260.18,No barrel,0,35508,No home garden,0,3,70.7 +1092,252.62,No barrel,0,26432,No home garden,0,4,63.6 +1093,188.49,No barrel,0,7226,No home garden,0,9,68.9 +1094,195.07,Barrel,1,19081,No home garden,0,6,78.3 +1095,208.19,Barrel,1,30303,Home garden,1,8,75.8 +1096,205.41,No barrel,0,6462,No home garden,0,5,72.4 +1097,221.4,Barrel,1,33116,Home garden,1,6,69.7 +1098,133.03,Barrel,1,6787,No home garden,0,7,67.3 +1099,208.32,No barrel,0,17606,No home garden,0,6,75.1 +1100,224.43,No barrel,0,20912,No home garden,0,5,72.2 +1101,192.35,No barrel,0,9554,No home garden,0,6,68 +1102,228.45,No barrel,0,20415,No home garden,0,7,68.2 +1103,229.51,No barrel,0,25247,No home garden,0,4,69.4 +1104,256.46,No barrel,0,18342,No home garden,0,2,73.4 +1105,138.86,Barrel,1,6949,No home garden,0,8,74.2 +1106,177.71,No barrel,0,20364,Home garden,1,8,58.6 +1107,230.6,No barrel,0,25972,No home garden,0,6,71.5 +1108,184.08,Barrel,1,17894,No home garden,0,6,74.2 +1109,164.85,Barrel,1,19135,No home garden,0,6,73.1 +1110,167.78,Barrel,1,17104,No home garden,0,6,74.6 +1111,190.2,Barrel,1,17532,No home garden,0,5,69.5 +1112,196.96,No barrel,0,5793,No home garden,0,5,70.2 +1113,176.95,Barrel,1,15662,No home garden,0,6,75 +1114,247.97,No barrel,0,26488,No home garden,0,4,74.7 +1115,222.52,No barrel,0,18915,No home garden,0,5,70.7 +1116,171.78,Barrel,1,18223,Home garden,1,10,65.8 +1117,233.51,Barrel,1,35356,No home garden,0,4,68.6 +1118,217.5,No barrel,0,16862,No home garden,0,2,68.1 +1119,198.36,No barrel,0,12841,No home garden,0,6,57.2 +1120,179.43,No barrel,0,14134,No home garden,0,8,66.3 +1121,259.39,No barrel,0,17161,No home garden,0,2,71 +1122,142.86,Barrel,1,6681,No home garden,0,6,67.9 +1123,223.5,No barrel,0,17329,No home garden,0,6,68.2 +1124,215.83,Barrel,1,23344,No home garden,0,5,70.8 +1125,205.54,No barrel,0,10890,No home garden,0,7,72.7 +1126,182.71,Barrel,1,9176,No home garden,0,5,77 +1127,207.19,No barrel,0,21292,No home garden,0,4,61.2 +1128,200.43,No barrel,0,11011,No home garden,0,9,63.1 +1129,299.66,No barrel,0,36433,No home garden,0,3,77.5 +1130,240.34,Barrel,1,36823,Home garden,1,9,73.5 +1131,140.73,Barrel,1,7203,No home garden,0,6,67.1 +1132,222.54,Barrel,1,23342,No home garden,0,3,72.2 +1133,208.41,No barrel,0,18494,No home garden,0,6,70.1 +1134,194.16,No barrel,0,23099,Home garden,1,10,67.2 +1135,181.65,No barrel,0,26037,Home garden,1,10,62.3 +1136,198.05,No barrel,0,12385,No home garden,0,3,69.3 +1137,193.87,Barrel,1,27213,Home garden,1,6,62.3 +1138,271.18,Barrel,1,30495,No home garden,0,3,80.8 +1139,224.09,No barrel,0,15881,No home garden,0,6,70.5 +1140,127.26,Barrel,1,7853,No home garden,0,6,68.6 +1141,190.49,No barrel,0,15889,No home garden,0,8,66.3 +1142,208.47,No barrel,0,17855,No home garden,0,4,67 +1143,195.23,Barrel,1,27079,Home garden,1,9,69.2 +1144,264.22,No barrel,0,31899,Home garden,1,8,74.9 +1145,282.15,No barrel,0,35073,Home garden,1,6,68 +1146,207.68,No barrel,0,13255,No home garden,0,5,68.6 +1147,239.91,No barrel,0,26485,No home garden,0,4,61.4 +1148,209.97,No barrel,0,26003,Home garden,1,6,58 +1149,268.55,No barrel,0,30258,Home garden,1,6,69.8 +1150,203.51,Barrel,1,16949,No home garden,0,7,76.7 +1151,194.85,No barrel,0,9033,No home garden,0,5,62.1 +1152,189.47,Barrel,1,31747,Home garden,1,6,75.1 +1153,214.85,Barrel,1,25924,No home garden,0,6,77.3 +1154,243.61,Barrel,1,37492,Home garden,1,5,75.2 +1155,198.8,No barrel,0,7541,No home garden,0,4,64.1 +1156,202.94,No barrel,0,27232,Home garden,1,7,59.7 +1157,236.01,No barrel,0,29722,Home garden,1,9,67.8 +1158,260.95,No barrel,0,26075,No home garden,0,2,65.9 +1159,239.17,No barrel,0,14384,No home garden,0,4,73.5 +1160,241.96,Barrel,1,29123,No home garden,0,4,81.7 +1161,233.16,No barrel,0,28459,Home garden,1,10,66.7 +1162,189.1,Barrel,1,22834,No home garden,0,5,69.2 +1163,255.35,No barrel,0,33570,Home garden,1,6,71.4 +1164,215.98,No barrel,0,22424,No home garden,0,4,61.7 +1165,201.79,Barrel,1,21779,No home garden,0,2,75.2 +1166,203.76,Barrel,1,21376,No home garden,0,4,64.1 +1167,264.42,No barrel,0,32310,Home garden,1,5,69.6 +1168,213.35,No barrel,0,15678,No home garden,0,4,73.7 +1169,220.01,No barrel,0,14919,No home garden,0,3,67.1 +1170,205.04,Barrel,1,24458,Home garden,1,9,69.9 +1171,234.22,No barrel,0,28436,No home garden,0,4,64.3 +1172,208.5,No barrel,0,16990,No home garden,0,5,66.9 +1173,249.38,No barrel,0,19676,No home garden,0,2,74.1 +1174,183.69,Barrel,1,25296,Home garden,1,9,75.3 +1175,264.78,No barrel,0,37279,Home garden,1,9,75.3 +1176,185.82,Barrel,1,20088,No home garden,0,7,60.3 +1177,221.92,Barrel,1,35177,Home garden,1,6,71.7 +1178,181.95,Barrel,1,13960,No home garden,0,6,75.8 +1179,253.64,No barrel,0,30159,Home garden,1,6,66.1 +1180,221.99,No barrel,0,24874,No home garden,0,6,67.2 +1181,257.1,No barrel,0,20654,No home garden,0,2,73 +1182,229.27,Barrel,1,31502,Home garden,1,7,77.5 +1183,229.71,Barrel,1,39137,Home garden,1,5,70.1 +1184,275.45,No barrel,0,25517,No home garden,0,4,79.3 +1185,274.7,Barrel,1,36472,No home garden,0,3,80.5 +1186,246.32,No barrel,0,36220,No home garden,0,3,58.9 +1187,220.97,Barrel,1,28104,No home garden,0,4,66.2 +1188,232.23,No barrel,0,29173,Home garden,1,7,71.5 +1189,226.82,No barrel,0,25607,No home garden,0,5,70.2 +1190,185.56,Barrel,1,18508,Home garden,1,9,78.1 +1191,200.29,No barrel,0,17968,No home garden,0,5,71.8 +1192,190.39,No barrel,0,20285,No home garden,0,2,61.6 +1193,218.75,Barrel,1,26344,No home garden,0,6,72.6 +1194,255.96,No barrel,0,31885,Home garden,1,7,71.2 +1195,216.08,Barrel,1,29816,No home garden,0,5,71.6 +1196,234.08,No barrel,0,22185,No home garden,0,4,69.5 +1197,224.64,No barrel,0,14517,No home garden,0,2,70.9 +1198,234.21,Barrel,1,36876,Home garden,1,5,77.7 +1199,258.38,No barrel,0,31655,No home garden,0,4,67.1 +1200,248.5,No barrel,0,13989,No home garden,0,5,73.2 +1201,221.24,No barrel,0,22183,No home garden,0,6,64.3 +1202,252.95,No barrel,0,17451,No home garden,0,6,69.7 +1203,222.28,No barrel,0,23782,No home garden,0,2,66.7 +1204,185.68,No barrel,0,2969,No home garden,0,5,71 +1205,249.85,No barrel,0,24186,No home garden,0,3,73.1 +1206,202.03,Barrel,1,21118,No home garden,0,6,65 +1207,211.35,No barrel,0,20995,No home garden,0,5,60 +1208,244.11,No barrel,0,25062,Home garden,1,8,75.2 +1209,227.8,No barrel,0,16219,No home garden,0,4,64.6 +1210,180.67,No barrel,0,19122,Home garden,1,8,60.4 +1211,169.63,No barrel,0,16677,Home garden,1,9,67.2 +1212,253.36,No barrel,0,23348,No home garden,0,4,74.2 +1213,180.24,Barrel,1,6868,No home garden,0,3,76 +1214,195.72,Barrel,1,11485,No home garden,0,3,77.4 +1215,178.1,Barrel,1,25572,Home garden,1,6,64.4 +1216,229.36,Barrel,1,28748,No home garden,0,4,70.2 +1217,208.4,No barrel,0,14181,No home garden,0,5,70.1 +1218,194.93,No barrel,0,9817,No home garden,0,3,64.2 +1219,160.82,Barrel,1,14859,No home garden,0,6,65 +1220,195.92,No barrel,0,10522,No home garden,0,4,70.6 +1221,211.45,No barrel,0,16007,No home garden,0,3,71 +1222,178.36,Barrel,1,24923,Home garden,1,8,68.3 +1223,255.21,No barrel,0,19859,No home garden,0,2,71 +1224,210.88,No barrel,0,9177,No home garden,0,2,72.6 +1225,199.99,No barrel,0,11933,No home garden,0,4,77.6 +1226,231.93,No barrel,0,25745,No home garden,0,2,69.6 +1227,225.27,No barrel,0,22408,No home garden,0,7,70.4 +1228,217.3,No barrel,0,18781,No home garden,0,5,73.5 +1229,270.4,No barrel,0,35488,No home garden,0,5,67.5 +1230,198.83,Barrel,1,22899,No home garden,0,6,69.1 +1231,230.57,No barrel,0,15576,No home garden,0,3,68.1 +1232,198.18,No barrel,0,19180,No home garden,0,7,67.1 +1233,210.29,Barrel,1,26335,No home garden,0,3,72.4 +1234,158.35,Barrel,1,9336,No home garden,0,4,71.6 +1235,261.36,No barrel,0,35610,No home garden,0,1,63 +1236,251.97,Barrel,1,29783,No home garden,0,5,70.5 +1237,208.3,No barrel,0,13387,No home garden,0,4,66.9 +1238,247.53,No barrel,0,22504,No home garden,0,3,72.7 +1239,218.15,Barrel,1,37900,Home garden,1,6,71.4 +1240,236.39,No barrel,0,23959,No home garden,0,4,70.2 +1241,271.18,No barrel,0,22785,No home garden,0,3,78.1 diff --git a/docs/_site/projects/problem-set-3/data/barrels_rct.csv b/docs/_site/projects/problem-set-3/data/barrels_rct.csv new file mode 100644 index 00000000..0e489d26 --- /dev/null +++ b/docs/_site/projects/problem-set-3/data/barrels_rct.csv @@ -0,0 +1,494 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,209.12,Barrel,1,25811,No home garden,0,3,68.5 +2,238.39,Barrel,1,39479,Home garden,1,7,77.4 +3,163.66,Barrel,1,13297,No home garden,0,7,65.1 +4,226,Barrel,1,28259,No home garden,0,2,65.7 +5,232.44,No barrel,0,21479,No home garden,0,5,65.7 +6,278.74,No barrel,0,28906,Home garden,1,8,76.9 +7,224.34,No barrel,0,7041,No home garden,0,3,70.9 +8,185.67,Barrel,1,29434,No home garden,0,4,56.1 +9,198.91,Barrel,1,24779,Home garden,1,8,70.1 +10,172.29,Barrel,1,29741,Home garden,1,9,62.2 +11,224.8,No barrel,0,16931,No home garden,0,8,73.3 +12,227.06,No barrel,0,10357,No home garden,0,9,81.8 +13,158.02,Barrel,1,16071,No home garden,0,6,67.2 +14,226.37,No barrel,0,14977,No home garden,0,6,70.5 +15,209.08,No barrel,0,13053,No home garden,0,3,71 +16,244.47,No barrel,0,24206,No home garden,0,5,71.3 +17,186.44,No barrel,0,14641,No home garden,0,9,67.6 +18,229.73,No barrel,0,15519,No home garden,0,3,70.7 +19,189.76,No barrel,0,6782,No home garden,0,9,67.4 +20,186.18,Barrel,1,19185,No home garden,0,5,72.2 +21,251.2,No barrel,0,26319,Home garden,1,7,73.4 +22,257.97,No barrel,0,35468,Home garden,1,8,66.2 +23,253.07,Barrel,1,35299,No home garden,0,3,70.4 +24,159.37,Barrel,1,8066,No home garden,0,9,77 +25,138.33,Barrel,1,9509,No home garden,0,6,64.3 +26,224.06,No barrel,0,21281,No home garden,0,2,61.8 +27,163.04,Barrel,1,20160,No home garden,0,2,54.4 +28,220.33,Barrel,1,28510,Home garden,1,7,75.9 +29,193.11,No barrel,0,3815,No home garden,0,6,68.2 +30,227.04,No barrel,0,11933,No home garden,0,4,76.1 +31,233.86,Barrel,1,36989,Home garden,1,6,66.5 +32,220.97,No barrel,0,13489,No home garden,0,5,76.8 +33,220.47,No barrel,0,17570,No home garden,0,3,74.5 +34,172.41,Barrel,1,17197,No home garden,0,3,65.3 +35,236.16,No barrel,0,37644,Home garden,1,6,66.8 +36,261.62,No barrel,0,33476,Home garden,1,8,72.4 +37,213.66,Barrel,1,24009,No home garden,0,1,73.8 +38,177.04,Barrel,1,10880,No home garden,0,4,72.1 +39,200.26,Barrel,1,31316,Home garden,1,7,71.8 +40,269.7,No barrel,0,34542,Home garden,1,6,72.5 +41,174.04,Barrel,1,14983,No home garden,0,5,73.3 +42,215.76,No barrel,0,27877,Home garden,1,9,64 +43,196.76,Barrel,1,27994,No home garden,0,5,69.9 +44,184.51,Barrel,1,15527,No home garden,0,2,67.8 +45,226.97,No barrel,0,13715,No home garden,0,8,75.2 +46,254.77,No barrel,0,28308,No home garden,0,2,70.9 +47,239.8,No barrel,0,26454,No home garden,0,5,65.1 +48,287.15,No barrel,0,29906,No home garden,0,4,79.1 +49,170.2,No barrel,0,18501,Home garden,1,9,63.8 +50,174.67,Barrel,1,26720,No home garden,0,5,65.2 +51,221.79,Barrel,1,35343,Home garden,1,6,65.8 +52,207.99,Barrel,1,12211,No home garden,0,6,83.8 +53,274.21,No barrel,0,28904,Home garden,1,7,71.3 +54,214,No barrel,0,13592,No home garden,0,6,66.8 +55,139.61,Barrel,1,12990,No home garden,0,4,69.4 +56,203.03,No barrel,0,9363,No home garden,0,7,69.2 +57,208.71,Barrel,1,27521,Home garden,1,7,68.5 +58,254,No barrel,0,24539,No home garden,0,4,68.4 +59,235.48,No barrel,0,26410,No home garden,0,4,65.7 +60,185.66,No barrel,0,12062,No home garden,0,6,67.9 +61,196.37,Barrel,1,32672,No home garden,0,4,64.6 +62,247.88,No barrel,0,34827,Home garden,1,6,75.7 +63,211.09,Barrel,1,24811,No home garden,0,3,70.1 +64,147.5,Barrel,1,13646,No home garden,0,6,65.9 +65,223.8,Barrel,1,20140,No home garden,0,3,74.4 +66,227.88,No barrel,0,24714,No home garden,0,4,68.2 +67,201.84,Barrel,1,11316,No home garden,0,8,76.3 +68,243.97,No barrel,0,23572,No home garden,0,4,70.6 +69,202.1,Barrel,1,29730,No home garden,0,5,68.4 +70,145.9,Barrel,1,12860,No home garden,0,6,62.4 +71,167.67,Barrel,1,13761,No home garden,0,6,78.3 +72,182.36,Barrel,1,25221,No home garden,0,4,61.9 +73,234.83,No barrel,0,31993,Home garden,1,6,70.2 +74,241.64,No barrel,0,31952,No home garden,0,5,68.5 +75,247.06,No barrel,0,36695,Home garden,1,5,61.8 +76,179.13,Barrel,1,16829,No home garden,0,1,65.9 +77,188.45,Barrel,1,26067,Home garden,1,8,68.8 +78,196.54,Barrel,1,23897,No home garden,0,7,63 +79,209.38,Barrel,1,34248,Home garden,1,7,67.6 +80,242.18,No barrel,0,28608,Home garden,1,7,73.1 +81,140.48,Barrel,1,4832,No home garden,0,8,67.8 +82,213.61,Barrel,1,24637,Home garden,1,7,68.4 +83,230.77,No barrel,0,29531,Home garden,1,6,66.1 +84,201.43,No barrel,0,18565,No home garden,0,5,66.7 +85,223.31,No barrel,0,19108,No home garden,0,1,70.8 +86,267.9,No barrel,0,30574,Home garden,1,6,66.2 +87,206.89,Barrel,1,20286,No home garden,0,4,76.9 +88,177.22,Barrel,1,16218,No home garden,0,4,71.4 +89,164.04,Barrel,1,18107,No home garden,0,7,63.8 +90,200.85,No barrel,0,23129,Home garden,1,8,71.8 +91,211.74,Barrel,1,17230,Home garden,1,9,75.4 +92,153.7,Barrel,1,24724,Home garden,1,8,61.4 +93,213.76,No barrel,0,12219,No home garden,0,2,69.6 +94,185.25,Barrel,1,27721,Home garden,1,6,71.2 +95,180.83,Barrel,1,18977,No home garden,0,4,73 +96,232.74,Barrel,1,25067,Home garden,1,7,79.4 +97,215.43,Barrel,1,27990,Home garden,1,6,71.9 +98,217.37,Barrel,1,16333,No home garden,0,6,79.2 +99,237.21,No barrel,0,26412,No home garden,0,6,65.9 +100,195.3,No barrel,0,6261,No home garden,0,6,63.2 +101,207.69,No barrel,0,22827,No home garden,0,3,65.6 +102,227.11,Barrel,1,28279,No home garden,0,4,69.2 +103,186.57,Barrel,1,18408,No home garden,0,7,69.6 +104,154.95,Barrel,1,11176,No home garden,0,6,66.5 +105,161.4,Barrel,1,10682,No home garden,0,7,73.4 +106,209.59,Barrel,1,25144,No home garden,0,4,75 +107,196.25,Barrel,1,22087,No home garden,0,6,69.2 +108,209.29,Barrel,1,33313,Home garden,1,8,65.8 +109,197.94,No barrel,0,26079,No home garden,0,5,54.7 +110,251.86,No barrel,0,21691,No home garden,0,5,68.5 +111,164.68,Barrel,1,24941,Home garden,1,10,65.8 +112,246.76,No barrel,0,28018,Home garden,1,8,74.9 +113,221.33,Barrel,1,26331,Home garden,1,8,73.7 +114,251.75,No barrel,0,32150,No home garden,0,4,70.1 +115,171.61,Barrel,1,27143,No home garden,0,5,67.6 +116,145.34,Barrel,1,15679,Home garden,1,9,70.7 +117,204,Barrel,1,34956,No home garden,0,3,71.3 +118,163.23,Barrel,1,23506,No home garden,0,4,63.8 +119,217.96,No barrel,0,21556,No home garden,0,4,62.2 +120,217.18,No barrel,0,11430,No home garden,0,2,66.9 +121,210.62,Barrel,1,19677,No home garden,0,5,73.1 +122,216.99,Barrel,1,28299,No home garden,0,4,70.4 +123,202,No barrel,0,14878,No home garden,0,5,71.4 +124,224.21,Barrel,1,19757,No home garden,0,5,76.2 +125,163.89,Barrel,1,24519,No home garden,0,5,65.2 +126,238.1,Barrel,1,27526,No home garden,0,6,74.7 +127,181.33,Barrel,1,22271,No home garden,0,6,76 +128,229.81,No barrel,0,17550,No home garden,0,3,72.7 +129,270.49,No barrel,0,22228,No home garden,0,3,72.5 +130,207.26,Barrel,1,18875,No home garden,0,2,70.3 +131,266.46,No barrel,0,28731,No home garden,0,3,74.8 +132,173.71,Barrel,1,19544,No home garden,0,7,70.9 +133,235.87,Barrel,1,28653,No home garden,0,4,76 +134,119.5,Barrel,1,14885,No home garden,0,7,62.9 +135,158.89,Barrel,1,27255,No home garden,0,5,55.2 +136,191.23,Barrel,1,22252,No home garden,0,5,68.3 +137,233.08,Barrel,1,16299,No home garden,0,3,79.8 +138,275.78,No barrel,0,28339,No home garden,0,4,74.2 +139,231.46,No barrel,0,31862,Home garden,1,6,66.7 +140,230.23,Barrel,1,25688,No home garden,0,5,74.9 +141,177.86,Barrel,1,23795,Home garden,1,10,72.6 +142,223.81,Barrel,1,26763,No home garden,0,5,79.4 +143,205.84,No barrel,0,20645,No home garden,0,6,74.5 +144,184.87,Barrel,1,11961,No home garden,0,4,68.8 +145,192.3,No barrel,0,17118,No home garden,0,8,64.9 +146,211.11,Barrel,1,28364,Home garden,1,6,70.8 +147,178.91,Barrel,1,7939,No home garden,0,7,74 +148,286.43,No barrel,0,32363,No home garden,0,2,79.8 +149,198.59,Barrel,1,20559,No home garden,0,3,73.2 +150,216.86,No barrel,0,22450,No home garden,0,7,70.2 +151,159.37,Barrel,1,21992,No home garden,0,4,68.1 +152,234.05,Barrel,1,27979,No home garden,0,2,69.9 +153,152.01,Barrel,1,6885,No home garden,0,7,70.6 +154,245.65,No barrel,0,30342,Home garden,1,7,71.7 +155,271.27,No barrel,0,18034,No home garden,0,5,79 +156,140.48,Barrel,1,3635,No home garden,0,4,75.4 +157,149.6,Barrel,1,13369,No home garden,0,2,63.5 +158,198.7,No barrel,0,20765,No home garden,0,7,66.3 +159,172.47,Barrel,1,20211,No home garden,0,5,66.6 +160,153.03,Barrel,1,6049,No home garden,0,6,71 +161,217.31,Barrel,1,28028,No home garden,0,6,74.4 +162,197.46,Barrel,1,24006,Home garden,1,8,70.2 +163,238.04,Barrel,1,22052,No home garden,0,4,77.3 +164,218.8,Barrel,1,27177,No home garden,0,6,76.4 +165,207.38,No barrel,0,20355,Home garden,1,8,64.1 +166,184.1,No barrel,0,9577,No home garden,0,9,64 +167,235.13,Barrel,1,34602,No home garden,0,4,80 +168,246.59,No barrel,0,24962,No home garden,0,5,69.1 +169,113.6,Barrel,1,7522,No home garden,0,9,67.4 +170,284.35,No barrel,0,30832,No home garden,0,3,77 +171,215.45,Barrel,1,33357,Home garden,1,8,73.2 +172,235.83,No barrel,0,28891,No home garden,0,4,64.2 +173,152.72,Barrel,1,7664,No home garden,0,7,67 +174,241.28,No barrel,0,22879,No home garden,0,1,65.7 +175,236,No barrel,0,32797,Home garden,1,9,70.7 +176,167.92,Barrel,1,6317,No home garden,0,3,71.5 +177,234.85,Barrel,1,38750,No home garden,0,4,69.4 +178,158.23,Barrel,1,10549,No home garden,0,6,74 +179,187.68,Barrel,1,16835,No home garden,0,2,68.4 +180,206.54,Barrel,1,29641,No home garden,0,5,57.8 +181,154.67,No barrel,0,1950,No home garden,0,7,63.2 +182,231.45,No barrel,0,21646,No home garden,0,4,71.3 +183,238.22,No barrel,0,31386,No home garden,0,5,61.1 +184,235.17,No barrel,0,23409,No home garden,0,5,67.9 +185,247.5,Barrel,1,36306,No home garden,0,3,83.1 +186,194.42,Barrel,1,14235,No home garden,0,8,77 +187,231.43,No barrel,0,19422,No home garden,0,3,66.3 +188,172.16,Barrel,1,19659,No home garden,0,5,72.3 +189,277.56,No barrel,0,24669,No home garden,0,5,76.7 +190,207.28,No barrel,0,14662,No home garden,0,5,71.9 +191,214.15,Barrel,1,24369,No home garden,0,4,74.5 +192,235.35,Barrel,1,36826,Home garden,1,7,76.9 +193,169.86,No barrel,0,17097,No home garden,0,6,63.7 +194,199.68,No barrel,0,14804,No home garden,0,5,69.3 +195,163.95,Barrel,1,20895,No home garden,0,7,64.6 +196,245.3,No barrel,0,23453,No home garden,0,4,73.7 +197,233.04,No barrel,0,15292,No home garden,0,4,71.2 +198,154.31,Barrel,1,11943,No home garden,0,4,64.5 +199,229.06,No barrel,0,39000,Home garden,1,4,62.7 +200,207.62,No barrel,0,24622,Home garden,1,7,66.1 +201,146.11,Barrel,1,12524,No home garden,0,4,66 +202,121.2,Barrel,1,7235,No home garden,0,9,66.4 +203,211.83,No barrel,0,19168,No home garden,0,6,68.7 +204,199.43,Barrel,1,28649,Home garden,1,8,74.5 +205,166.22,Barrel,1,17615,No home garden,0,3,67.3 +206,198.62,Barrel,1,24905,Home garden,1,8,76.3 +207,222.6,No barrel,0,29426,Home garden,1,7,71.7 +208,235.43,No barrel,0,22186,No home garden,0,5,69.7 +209,179.06,Barrel,1,24699,Home garden,1,8,72.1 +210,143.27,Barrel,1,16278,No home garden,0,8,65.4 +211,241.88,No barrel,0,30939,Home garden,1,9,67.3 +212,215.19,Barrel,1,28699,No home garden,0,6,69.6 +213,227.09,No barrel,0,22377,No home garden,0,5,69.9 +214,228.36,No barrel,0,25072,No home garden,0,5,67.2 +215,191,Barrel,1,17516,No home garden,0,7,72.8 +216,242.12,No barrel,0,24901,Home garden,1,9,75.9 +217,162.93,No barrel,0,3797,No home garden,0,7,65.2 +218,147.43,Barrel,1,12596,No home garden,0,5,68.6 +219,228.73,Barrel,1,29474,Home garden,1,7,74.3 +220,222.53,No barrel,0,20795,Home garden,1,8,69.1 +221,255.51,No barrel,0,21396,No home garden,0,5,72.6 +222,215,No barrel,0,11609,No home garden,0,7,73.5 +223,258.54,No barrel,0,26493,No home garden,0,4,76.8 +224,156.36,Barrel,1,12809,No home garden,0,7,65.5 +225,162.7,Barrel,1,13605,No home garden,0,7,66.8 +226,218.3,Barrel,1,26145,No home garden,0,5,70.7 +227,139.86,Barrel,1,572,No home garden,0,9,66.3 +228,247.65,No barrel,0,28862,No home garden,0,4,67 +229,266.93,No barrel,0,28305,No home garden,0,4,75.4 +230,170.07,Barrel,1,22778,Home garden,1,8,67.1 +231,246.68,No barrel,0,28042,No home garden,0,6,75.5 +232,213.98,Barrel,1,20065,No home garden,0,3,77 +233,184.08,No barrel,0,8463,No home garden,0,6,70.2 +234,211.87,Barrel,1,19207,No home garden,0,3,79.6 +235,167.48,Barrel,1,22067,Home garden,1,8,63.7 +236,170.19,Barrel,1,12730,No home garden,0,3,64 +237,177.81,Barrel,1,23102,No home garden,0,5,62.5 +238,198.47,Barrel,1,25148,Home garden,1,7,73.6 +239,254.68,No barrel,0,29420,No home garden,0,5,67.3 +240,267.82,No barrel,0,27732,No home garden,0,5,70.1 +241,223.48,Barrel,1,26237,No home garden,0,4,67.8 +242,184.77,Barrel,1,16245,No home garden,0,2,65.5 +243,205.78,Barrel,1,20156,No home garden,0,4,76.4 +244,196.29,Barrel,1,12116,No home garden,0,3,69.6 +245,177.52,Barrel,1,27499,No home garden,0,4,57.7 +246,251.84,Barrel,1,29061,No home garden,0,3,74.5 +247,173.98,Barrel,1,16866,No home garden,0,8,73.8 +248,181.66,Barrel,1,14483,No home garden,0,7,71.3 +249,205.85,No barrel,0,20120,No home garden,0,7,75.8 +250,164.38,Barrel,1,17426,No home garden,0,8,71.2 +251,231.16,No barrel,0,10322,No home garden,0,6,81.1 +252,167.63,Barrel,1,10334,No home garden,0,6,65.7 +253,249.36,No barrel,0,31526,Home garden,1,6,73.7 +254,195.66,No barrel,0,14850,No home garden,0,5,68.4 +255,184.56,Barrel,1,13115,No home garden,0,3,65.8 +256,208.42,Barrel,1,29775,No home garden,0,5,71.2 +257,213.56,No barrel,0,24220,No home garden,0,5,64.2 +258,233.57,No barrel,0,17341,No home garden,0,4,69.9 +259,240.53,No barrel,0,23242,No home garden,0,6,63.5 +260,286.79,No barrel,0,38900,Home garden,1,7,71 +261,171.92,Barrel,1,12636,No home garden,0,5,72.5 +262,206.97,Barrel,1,25900,Home garden,1,7,74.1 +263,205.2,Barrel,1,30876,Home garden,1,6,64.2 +264,244.36,Barrel,1,38559,Home garden,1,6,72.2 +265,143.54,Barrel,1,11182,No home garden,0,6,67.6 +266,237.98,No barrel,0,25847,No home garden,0,4,70.2 +267,259.23,No barrel,0,16846,No home garden,0,2,74.6 +268,202.09,Barrel,1,21089,No home garden,0,6,71.7 +269,151.88,Barrel,1,11424,No home garden,0,4,61.8 +270,236.68,Barrel,1,34542,No home garden,0,3,69.6 +271,211.02,No barrel,0,22464,Home garden,1,7,68.2 +272,211.26,No barrel,0,11423,No home garden,0,4,74.6 +273,205.76,No barrel,0,26701,No home garden,0,5,65.1 +274,185.18,Barrel,1,13528,No home garden,0,2,66.9 +275,202.92,Barrel,1,30111,Home garden,1,7,73.7 +276,180.99,No barrel,0,7301,No home garden,0,9,62.8 +277,202.46,Barrel,1,19713,No home garden,0,2,66.8 +278,220.91,No barrel,0,15397,No home garden,0,6,75.5 +279,199.05,No barrel,0,24008,Home garden,1,7,57.2 +280,251.89,Barrel,1,36530,No home garden,0,3,65.6 +281,242.46,No barrel,0,22268,Home garden,1,8,75.7 +282,175.14,Barrel,1,22842,No home garden,0,7,73.2 +283,194.89,No barrel,0,5676,No home garden,0,3,67 +284,207.72,No barrel,0,19227,No home garden,0,5,63.3 +285,247.36,No barrel,0,12084,No home garden,0,5,72.7 +286,221.84,No barrel,0,20179,No home garden,0,7,72.1 +287,188.49,No barrel,0,13680,No home garden,0,4,67.8 +288,205.89,Barrel,1,29663,Home garden,1,7,68.6 +289,200.66,Barrel,1,9402,No home garden,0,4,70.9 +290,111.58,Barrel,1,4957,No home garden,0,10,72.3 +291,161.16,Barrel,1,5772,No home garden,0,5,73.4 +292,187.42,Barrel,1,25044,Home garden,1,8,66.9 +293,209.99,No barrel,0,9163,No home garden,0,5,73.6 +294,191.23,No barrel,0,11746,No home garden,0,3,68.5 +295,252.14,Barrel,1,36012,No home garden,0,4,74.6 +296,177.33,No barrel,0,19909,No home garden,0,7,58.4 +297,167.03,Barrel,1,13791,No home garden,0,3,71.7 +298,187.81,No barrel,0,17166,Home garden,1,8,68.7 +299,198.57,Barrel,1,32059,No home garden,0,4,74.9 +300,231.49,No barrel,0,15538,No home garden,0,8,74 +301,232.52,No barrel,0,24576,No home garden,0,6,67.6 +302,208.64,Barrel,1,36060,Home garden,1,8,65.2 +303,162.41,Barrel,1,14428,No home garden,0,4,65.1 +304,101.26,Barrel,1,16403,No home garden,0,6,59.6 +305,194.97,Barrel,1,15809,No home garden,0,7,74.1 +306,193.42,Barrel,1,16009,No home garden,0,3,74.1 +307,213.12,No barrel,0,22192,Home garden,1,10,65.5 +308,266.1,No barrel,0,32695,Home garden,1,8,73 +309,234.76,No barrel,0,26563,Home garden,1,8,73.6 +310,253.2,No barrel,0,20250,No home garden,0,4,76.9 +311,210.04,No barrel,0,19129,No home garden,0,2,67.6 +312,267.01,No barrel,0,36691,Home garden,1,10,71.7 +313,145.63,Barrel,1,19936,Home garden,1,9,66.8 +314,275.26,No barrel,0,30956,No home garden,0,4,77.2 +315,192.9,No barrel,0,9035,No home garden,0,5,71.5 +316,207.12,Barrel,1,25321,No home garden,0,6,71.4 +317,185.11,Barrel,1,21845,No home garden,0,7,71.1 +318,142.82,Barrel,1,18141,No home garden,0,6,60 +319,210.66,No barrel,0,17294,Home garden,1,8,62.5 +320,182.06,Barrel,1,24703,Home garden,1,10,66.7 +321,206.6,No barrel,0,26873,Home garden,1,7,61.3 +322,178.8,Barrel,1,23680,Home garden,1,10,72.2 +323,237.5,Barrel,1,32314,No home garden,0,4,76.6 +324,252.24,No barrel,0,26245,No home garden,0,6,69.3 +325,204.38,No barrel,0,21201,No home garden,0,6,69.3 +326,227.1,Barrel,1,31968,No home garden,0,2,69.6 +327,249.2,No barrel,0,21966,No home garden,0,6,78.1 +328,238.55,No barrel,0,21619,No home garden,0,3,73.6 +329,262.91,No barrel,0,29348,No home garden,0,5,75.2 +330,228.45,No barrel,0,17334,No home garden,0,6,73.2 +331,221.84,No barrel,0,22451,Home garden,1,8,67.7 +332,177.4,Barrel,1,23481,Home garden,1,8,67.5 +333,189.1,Barrel,1,11152,No home garden,0,6,79.1 +334,189.52,Barrel,1,13522,No home garden,0,2,72.9 +335,275.7,No barrel,0,18675,No home garden,0,2,70.8 +336,218.46,No barrel,0,29744,Home garden,1,6,67.3 +337,188.22,Barrel,1,29141,Home garden,1,9,72.5 +338,151.03,Barrel,1,18130,No home garden,0,6,61.7 +339,200.19,No barrel,0,9674,No home garden,0,7,64.5 +340,170.18,Barrel,1,2995,No home garden,0,7,69.4 +341,170.78,Barrel,1,17610,No home garden,0,4,67.5 +342,145.01,Barrel,1,5752,No home garden,0,5,67 +343,157.96,Barrel,1,18593,No home garden,0,5,67.1 +344,255.89,Barrel,1,31806,No home garden,0,4,77.6 +345,150.54,Barrel,1,4582,No home garden,0,7,67.5 +346,253.99,Barrel,1,27107,Home garden,1,7,78.2 +347,212.76,Barrel,1,20361,No home garden,0,6,74.8 +348,167.34,Barrel,1,11789,No home garden,0,7,74.7 +349,239.61,No barrel,0,22098,No home garden,0,4,67.7 +350,162.49,Barrel,1,9797,No home garden,0,3,59.8 +351,241.19,Barrel,1,28685,Home garden,1,7,78.7 +352,221.59,Barrel,1,23137,No home garden,0,2,71.4 +353,186.52,Barrel,1,17442,No home garden,0,5,76.7 +354,138.14,Barrel,1,2082,No home garden,0,6,72.5 +355,163.98,Barrel,1,1886,No home garden,0,6,73.3 +356,192.42,Barrel,1,19408,No home garden,0,3,67.9 +357,204.77,Barrel,1,15740,No home garden,0,2,65.6 +358,139.69,Barrel,1,10330,No home garden,0,8,68.4 +359,243.61,No barrel,0,23610,Home garden,1,8,73.2 +360,150.08,Barrel,1,10932,No home garden,0,5,66.8 +361,210.29,No barrel,0,11705,No home garden,0,4,67.4 +362,279.24,No barrel,0,36420,Home garden,1,7,66.9 +363,282.31,No barrel,0,37060,Home garden,1,8,76.9 +364,234.9,No barrel,0,20577,No home garden,0,3,74.5 +365,194.45,No barrel,0,13606,No home garden,0,6,69.8 +366,186.22,Barrel,1,24182,No home garden,0,7,64.9 +367,164.49,Barrel,1,8218,No home garden,0,3,67 +368,235.68,No barrel,0,28461,Home garden,1,6,70.3 +369,150.77,Barrel,1,11640,No home garden,0,4,71.2 +370,151.53,Barrel,1,6801,No home garden,0,5,64.5 +371,186.93,Barrel,1,19448,No home garden,0,5,64.1 +372,178.4,Barrel,1,20970,No home garden,0,6,65.1 +373,193.37,Barrel,1,21163,No home garden,0,1,69 +374,175.72,Barrel,1,17070,No home garden,0,3,66.5 +375,141.2,Barrel,1,30536,Home garden,1,10,58.3 +376,191.69,No barrel,0,982,No home garden,0,7,72.8 +377,249,No barrel,0,19660,No home garden,0,3,70.1 +378,184.1,Barrel,1,22161,Home garden,1,9,81.1 +379,264.43,No barrel,0,31622,No home garden,0,4,65 +380,225.46,No barrel,0,8157,No home garden,0,7,70.9 +381,178.21,Barrel,1,13119,No home garden,0,5,73 +382,198.78,Barrel,1,24252,No home garden,0,5,73.1 +383,225.73,No barrel,0,17648,No home garden,0,5,75.3 +384,149.1,Barrel,1,3478,No home garden,0,4,61.6 +385,209.95,Barrel,1,27011,No home garden,0,4,69.7 +386,180.57,Barrel,1,16246,No home garden,0,3,66.3 +387,187.03,Barrel,1,13220,No home garden,0,3,71.3 +388,213.72,No barrel,0,29814,Home garden,1,10,68.7 +389,206.81,Barrel,1,32031,Home garden,1,7,72.1 +390,227.54,No barrel,0,19079,No home garden,0,3,63.3 +391,238.06,Barrel,1,31389,No home garden,0,3,76.8 +392,205,Barrel,1,16959,No home garden,0,3,74.5 +393,216.6,Barrel,1,34034,Home garden,1,9,71.1 +394,189.05,No barrel,0,14242,No home garden,0,7,65.4 +395,226.08,No barrel,0,7896,No home garden,0,4,75 +396,170.96,No barrel,0,15567,No home garden,0,8,60.5 +397,215.55,No barrel,0,11384,No home garden,0,5,72.5 +398,241.28,No barrel,0,12423,No home garden,0,2,67.3 +399,127.85,Barrel,1,11376,No home garden,0,6,66.7 +400,271.68,No barrel,0,27549,No home garden,0,4,74.7 +401,209.13,No barrel,0,22512,No home garden,0,5,65.4 +402,224.33,No barrel,0,21336,Home garden,1,9,70.7 +403,198.13,No barrel,0,12950,No home garden,0,3,64.3 +404,219.19,No barrel,0,26771,Home garden,1,7,68.3 +405,147.52,Barrel,1,12474,No home garden,0,6,65 +406,201.83,No barrel,0,15037,Home garden,1,10,73.1 +407,185.17,Barrel,1,21735,Home garden,1,8,71.2 +408,254.96,No barrel,0,33339,Home garden,1,7,75 +409,171.68,Barrel,1,21485,No home garden,0,6,69.7 +410,251.87,No barrel,0,19231,No home garden,0,6,76.1 +411,186.05,Barrel,1,11639,No home garden,0,4,69.9 +412,174.26,Barrel,1,23759,No home garden,0,4,59.8 +413,210.55,No barrel,0,19035,No home garden,0,7,63.1 +414,236.6,No barrel,0,12768,No home garden,0,4,68.5 +415,188.31,Barrel,1,14954,No home garden,0,5,73.6 +416,189.69,Barrel,1,23186,No home garden,0,6,77.3 +417,169.15,Barrel,1,18246,No home garden,0,6,72.9 +418,216.6,No barrel,0,12380,No home garden,0,6,72.7 +419,254.69,No barrel,0,30214,No home garden,0,5,77.2 +420,170.96,No barrel,0,9743,No home garden,0,8,61.1 +421,177.28,Barrel,1,14253,No home garden,0,6,74.1 +422,191.08,No barrel,0,16838,No home garden,0,5,64.1 +423,260.63,No barrel,0,21306,No home garden,0,5,76.1 +424,195.57,No barrel,0,12565,No home garden,0,6,65.2 +425,250.1,No barrel,0,29013,No home garden,0,5,70.4 +426,238.95,Barrel,1,28754,No home garden,0,1,64.2 +427,258.69,Barrel,1,33999,No home garden,0,3,72.7 +428,159.63,No barrel,0,4514,No home garden,0,5,68.4 +429,233.18,No barrel,0,28854,No home garden,0,5,68.9 +430,226.18,Barrel,1,32674,Home garden,1,8,70 +431,221.2,Barrel,1,25658,No home garden,0,1,68.7 +432,208.29,No barrel,0,9121,No home garden,0,3,73.3 +433,206.17,Barrel,1,20175,No home garden,0,7,70.4 +434,293.28,No barrel,0,33906,No home garden,0,4,74.1 +435,260.73,No barrel,0,14747,No home garden,0,2,72.7 +436,202.98,Barrel,1,27357,Home garden,1,7,76.3 +437,240.17,No barrel,0,19782,No home garden,0,3,66.7 +438,155.14,Barrel,1,3006,No home garden,0,9,75.6 +439,157.46,Barrel,1,4741,No home garden,0,5,64.4 +440,186.63,No barrel,0,6697,Home garden,1,10,65.7 +441,184.82,Barrel,1,19251,No home garden,0,7,66.5 +442,178.85,Barrel,1,16104,No home garden,0,7,65.7 +443,203.99,No barrel,0,4106,No home garden,0,6,74.2 +444,164.37,Barrel,1,11793,No home garden,0,2,64.3 +445,177.08,No barrel,0,11378,No home garden,0,9,72.8 +446,184.46,Barrel,1,14103,No home garden,0,2,67.7 +447,250.94,No barrel,0,30836,No home garden,0,5,71.4 +448,217.1,No barrel,0,20782,Home garden,1,7,70.2 +449,207.97,Barrel,1,31260,Home garden,1,9,73.8 +450,190.13,Barrel,1,20661,No home garden,0,2,71.4 +451,186.14,Barrel,1,13977,No home garden,0,4,68.8 +452,226.82,No barrel,0,17355,No home garden,0,2,70.2 +453,198.93,No barrel,0,21482,Home garden,1,8,66.8 +454,119.71,Barrel,1,13677,No home garden,0,8,65.2 +455,229.93,Barrel,1,26645,No home garden,0,4,74.4 +456,180.06,Barrel,1,11934,No home garden,0,4,66.3 +457,201.93,Barrel,1,21117,No home garden,0,5,68.5 +458,241.86,No barrel,0,22077,No home garden,0,3,64 +459,158.09,Barrel,1,16688,No home garden,0,6,64.9 +460,244.47,No barrel,0,38528,Home garden,1,6,59.5 +461,239.8,Barrel,1,18839,No home garden,0,3,76.2 +462,237.47,Barrel,1,31148,No home garden,0,4,78 +463,224.6,No barrel,0,17226,No home garden,0,5,72 +464,131.08,Barrel,1,3494,No home garden,0,5,62.7 +465,152.13,Barrel,1,19242,No home garden,0,8,65.9 +466,217.99,No barrel,0,17631,No home garden,0,5,77.8 +467,99.63,Barrel,1,7341,No home garden,0,6,54.3 +468,246.4,No barrel,0,36758,Home garden,1,6,71.6 +469,159.77,Barrel,1,16308,No home garden,0,3,61.5 +470,216.95,No barrel,0,12537,No home garden,0,5,67.3 +471,178.75,No barrel,0,3592,No home garden,0,6,72.2 +472,204.05,No barrel,0,13035,No home garden,0,3,68.4 +473,267.06,Barrel,1,32190,Home garden,1,6,81.8 +474,197.12,Barrel,1,18444,No home garden,0,4,66.3 +475,244.41,No barrel,0,33438,Home garden,1,5,73.8 +476,281.83,No barrel,0,33103,No home garden,0,2,70.7 +477,216.74,Barrel,1,21262,No home garden,0,2,66.9 +478,153.14,Barrel,1,17543,No home garden,0,6,63.1 +479,185.92,Barrel,1,18878,No home garden,0,4,61.2 +480,245.79,No barrel,0,20398,No home garden,0,2,60.3 +481,236.07,No barrel,0,33642,Home garden,1,7,59.4 +482,269.57,No barrel,0,37338,Home garden,1,6,67.4 +483,245.82,No barrel,0,27251,No home garden,0,6,66.5 +484,170.21,Barrel,1,24893,No home garden,0,6,65.6 +485,267.53,No barrel,0,19375,No home garden,0,2,70.9 +486,256.15,Barrel,1,28103,No home garden,0,4,82.1 +487,212.33,No barrel,0,15588,Home garden,1,8,72.2 +488,202.83,Barrel,1,25928,No home garden,0,5,68.7 +489,250.38,No barrel,0,31002,No home garden,0,4,60.9 +490,179.96,Barrel,1,8360,No home garden,0,5,71 +491,182.15,Barrel,1,20315,No home garden,0,7,66.5 +492,189.84,Barrel,1,21202,Home garden,1,10,74.5 +493,179.33,Barrel,1,17548,No home garden,0,6,71.3 diff --git a/docs/_site/projects/problem-set-3/problem-set-3.Rproj b/docs/_site/projects/problem-set-3/problem-set-3.Rproj new file mode 100755 index 00000000..254c1762 --- /dev/null +++ b/docs/_site/projects/problem-set-3/problem-set-3.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Yes + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-3/your-name_problem-set-3.Rmd b/docs/_site/projects/problem-set-3/your-name_problem-set-3.Rmd new file mode 100644 index 00000000..b2d6a12c --- /dev/null +++ b/docs/_site/projects/problem-set-3/your-name_problem-set-3.Rmd @@ -0,0 +1,140 @@ +--- +title: "Problem set 3: RCTs, matching, and inverse probability weighting" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +# Program overview + +The metropolitan Atlanta area is interested in helping residents become more environmentally conscious, reduce their water consumption, and save money on their monthly water bills. To do this, Fulton, DeKalb, Gwinnett, Cobb, and Clayton counties have jointly initiated a new program that provides free rain barrels to families who request them. These barrels collect rain water, and the reclaimed water can be used for non-potable purposes (like watering lawns and gardens). Officials hope that families that use the barrels will rely more on rain water and will subsequently use fewer county water resources, thus saving both the families and the counties money. + +Being evaluation-minded, the counties hired an evaluator (you!) before rolling out their program. You convinced them to fund and run a randomized controlled trial (RCT) during 2018, and the counties rolled out the program city-wide in 2019. You have two datasets: `barrels_rct.csv` with data from the RCT, and `barrels_obs.csv` with observational data from self-selected participants. + +These datasets contain the following variables: + +- `id`: A unique ID number for each household +- `water_bill`: The family's average monthly water bill, in dollars +- `barrel`: An indicator variable showing if the family participated in the program +- `barrel_num`: A 0/1 numeric version of `barrel` +- `yard_size`: The size of the family's yard, in square feet +- `home_garden`: An indicator variable showing if the family has a home garden +- `home_garden_num`: A 0/1 numeric version of `home_garden` +- `attitude_env`: The family's self-reported attitude toward the environment, on a scale of 1-10 (10 meaning highest regard for the environment) +- `temperature`: The average outside temperature (these get wildly unrealistic for the Atlanta area; just go with it) + + +# Your goal + +Your task in this problem set is to analyze these two datasets to find the causal effect (or average treatment effect (ATE)) of this hypothetical program. + +***Follow these two examples from class as guides:*** + +- [RCTs](https://evalsp22.classes.andrewheiss.com/example/rcts/) +- [Matching and IPW](https://evalsp22.classes.andrewheiss.com/example/matching-ipw/) + +As a reference, Figure 1 shows the DAG for the program: + +![Rain barrel program DAG](barrel-dag-observational.png) + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(patchwork) +library(MatchIt) + +barrels_rct <- read_csv("data/barrels_rct.csv") %>% + # This makes it so "No barrel" is the reference category + mutate(barrel = fct_relevel(barrel, "No barrel")) + +barrels_obs <- read_csv("data/barrels_observational.csv") %>% + # This makes it so "No barrel" is the reference category + mutate(barrel = fct_relevel(barrel, "No barrel")) +``` + +# 1. Finding causation from a randomized controlled trial + +## Modified DAG + +You remember from PMAP 8521 that when running an RCT, you can draw the DAG for the program like this (Figure 2). **Why?** + +![Rain barrel program DAG as an RCT](barrel-dag-rct.png) + + +## Check balance + +**Discuss the sample size for the RCT data and how many people were assigned to treatment/control. Are you happy with this randomization?** + +```{r} +# Check for balance of numbers in the treatment and control groups +``` + +**Check the balance of the main pre-treatment characteristics. Are you happy with the balance?** + +```{r} +# Insert as many chunks as you need to check the balance of the RCT across +# different pre-treatment characteristics like yard size, home garden, +# environmental attitudes, and average temperature. +``` + +## Estimate difference + +**What is the effect of the program on participants' water bills? How credible is this result?** + +```{r} +# Insert as many chunks as you need to measure the difference in water bills for +# those in the program and those not in the program. +``` + + +# 2. Finding causation from observational data + +## Naive difference in means + +**As a baseline measure, calculate the average difference in water bills for those in the program and those not in the program using the observational data. How much of an effect is there? How credible is this result? Why?** + +```{r} +# Find the naive difference in means +``` + + +## Adjustment with Mahalanobis nearest-neighbor matching + +**Use matching to make the proper adjustments and close the backdoor effects from the four main confounders: `yard_size`, `home_garden`, `attitude_env`, and `temperature`** + +```{r} +# Insert as many chunks as you need to close the backdoors by using nearest +# neighbor matching with Mahalanobis distance. +``` + + +## Adjustment with inverse probability weighting + +**Use inverse probability weighting to make the proper adjustments and close the backdoor effects from the four main confounders: `yard_size`, `home_garden`, `attitude_env`, and `temperature`** + +```{r} +# Insert as many chunks as you need to close the backdoors by using propensity +# scores and inverse probability weighting. +``` + + +# 3. Comparing results + +You just calculated a bunch of ATEs using experimental and observational data. **Put them all in a single table here:** + +```{r} +# Table with all model results side-by-side +``` + +**Which estimates do you believe? Why? Would observational ATEs be sufficient to prove program effect in this case? Why or why not? Should this program be rolled out throughout Georgia? Why or why not?** diff --git a/docs/_site/projects/problem-set-4/data/eitc.dta b/docs/_site/projects/problem-set-4/data/eitc.dta new file mode 100644 index 00000000..a1274f0c Binary files /dev/null and b/docs/_site/projects/problem-set-4/data/eitc.dta differ diff --git a/docs/_site/projects/problem-set-4/problem-set-4.Rproj b/docs/_site/projects/problem-set-4/problem-set-4.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/problem-set-4/problem-set-4.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-4/your-name_problem-set-4.Rmd b/docs/_site/projects/problem-set-4/your-name_problem-set-4.Rmd new file mode 100644 index 00000000..1c742602 --- /dev/null +++ b/docs/_site/projects/problem-set-4/your-name_problem-set-4.Rmd @@ -0,0 +1,230 @@ +--- +title: "Problem set 4: The EITC and diff-in-diff" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +In 1996, Nada Eissa and Jeffrey B. Liebman [published a now-classic study on the effect of the Earned Income Tax Credit (EITC) on employment](http://darp.lse.ac.uk/papersdb/Eissa-Liebman_(QJE96).pdf). The EITC is a special tax credit for low income workers that changes depending on (1) how much a family earns (the lowest earners and highest earners don't receive a huge credit, as the amount received phases in and out), and (2) the number of children a family has (more kids = higher credit). See [this brief explanation](https://www.cbpp.org/research/federal-tax/policy-basics-the-earned-income-tax-credit) for an interactive summary of how the EITC works. + +Eissa and Liebman's study looked at the effects of the EITC on women's employment and wages after it was initially substantially expanded in 1986. The credit was expanded substantially again in 1993. For this problem set, you'll measure the causal effect of this 1993 expansion on the employment levels and annual income for women. + +A family must have children in order to quality for the EITC, which means the presence of 1 or more kids in a family assigns low-income families to the EITC program (or "treatment"). We have annual data on earnings from 1991–1996, and because the expansion of EITC occurred in 1993, we also have data both before and after the expansion. This treatment/control before/after situation allows us to use a difference-in-differences approach to identify the causal effect of the EITC. + +The dataset I've provided (`eitc.dta`) is a Stata data file containing more than 13,000 observations. This is non-experimental data—the data comes from the US Census's Current Population Survey (CPS) and includes all women in the CPS sample between the ages of 20–54 with less than a high school education between 1991–1996. There are 11 variables: + +- `state`: The woman's state of residence. The numbers are Census/CPS state numbers: [http://unionstats.gsu.edu/State_Code.htm](http://unionstats.gsu.edu/State_Code.htm) +- `year`: The tax year +- `urate`: The unemployment rate in the woman's state of residence +- `children`: The number of children the woman has +- `nonwhite`: Binary variable indicating if the woman is not white (1 = Hispanic/Black) +- `finc`: The woman's family income in 1997 dollars +- `earn`: The woman's personal income in 1997 dollars +- `age`: The woman's age +- `ed`: The number of years of education the woman has +- `unearn`: The woman's family income minus her personal income, in *thousands* of 1997 dollars + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, %>%, mutate, filter, group_by, and friends +library(haven) # For loading data from Stata +library(broom) # For showing models as data frames + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +# Load EITC data +eitc <- read_stata("data/eitc.dta") %>% + # case_when() is a fancy version of ifelse() that takes multiple conditions + # and outcomes. Here, we make a new variable named children_cat(egorical) + # with three different levels: 0, 1, and 2+ + mutate(children_cat = case_when( + children == 0 ~ "0", + children == 1 ~ "1", + children >= 2 ~ "2+" + )) +``` + +# 1. Exploratory data analysis + +Create a new variable that shows if women have 0 children, 1 child, or 2+ children (I did this for you already above). + +What is the average of `work`, `finc`, `earn`, `nonwhite`, `ed`, and `age` across each of these different levels of children? How are these groups different? Describe your findings in a paragraph. + +## Work + +```{r} +# Work +eitc %>% + group_by(children_cat) %>% + summarize(avg_work = mean(work)) + +# stat_summary() here is a little different from the geom_*() layers you've seen +# in the past. stat_summary() takes a function (here mean_se()) and runs it on +# each of the children_cat groups to get the average and standard error. It then +# plots those with geom_pointrange. The fun.args part of this lets us pass an +# argument to mean_se() so that we can multiply the standard error by 1.96, +# giving us the 95% confidence interval +ggplot(eitc, aes(x = children_cat, y = work)) + + stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) +``` + +## Family income + +## Earnings + +## Race + +## Education + +## Age + +## General summary + +**Describe your findings in a paragraph. How do these women differ depending on the number of kids they have?** + + +# 2. Create treatment variables + +Create a new variable for treatment named `any_kids` (should be TRUE or 1 if `children` > 0) and a variable for the timing named `after_1993` (should be TRUE or 1 if `year` > 1993). + +Remember you can use the following syntax for creating a new binary variable based on a test: + +```r +new_dataset <- original_dataset %>% + mutate(new_variable = some_column > some_number) +``` + +```{r} +# Make new dataset here. You can either do something like: +# +# eitc_new <- eitc %>% whatever +# +# which would create a completely new data frame, or do something like: +# +# eitc <- eitc %>% whatever +# +# which would overwrite the original eitc data frame with the modified one. +# Either approach is fine. + +``` + + +# 3. Check pre- and post-treatment trends + +Create a new dataset that shows the average proportion of employed women (`work`) for every year in both the treatment and control groups (i.e. both with and without kids). (Hint: use `group_by()` and `summarize()`, and group by both `year` and `any_kids`.) + +```{r} +# Find average of work across year and any_kids +# Store this as a new object and then print it, like so: +# +# eitc_by_year_kids <- eitc %>% whatever +# print(eitc_by_year_kids) +``` + +Plot these trends using colored lines and points, with year on the x-axis, average employment on the y-axis. Add a vertical line at 1994 (hint: use `geom_vline(xintercept = SOMETHING)`. + +```{r} +# Add plot here, with x = year, y = average employment, and color = any_kids. +# Add a vertical line too. +``` + +**Do the pre-treatment trends appear to be similar?** + + +# 4. Difference-in-difference by hand-ish + +Calculate the average proportion of employed women in the treatment and control groups before and after the EITC expansion. (Hint: group by `any_kids` and `after_1993` and find the average of `work`.) + +```{r} +# Calculate average of work across any_kids and after_1993 +``` + +Calculate the difference-in-difference estimate given these numbers. (Recall from class that each cell has a letter (A, B, C, and D), and that the diff-in-diff estimate represents a special combination of these cells.) + +```{r} +# It might be helpful to pull these different cells out with filter() and pull() +# like in the in-class examples from 8. Store these as objects like cell_A, +# cell_B, etc. and do the math here (like cell_B - cell_A, etc.) +``` + + +| | Before 1993 | After 1993 | Difference | +|--------------------|-------------|------------|------------| +| Women with no kids | | | | +| Women with kids | | | | +| Difference | | | | + +**What is the difference-in-difference estimate? Discuss the result.** (Hint, these numbers are percents, so you can multiply them by 100 to make it easier to interpret. For instance, if the diff-in-diff number is 0.15 (it's not), you could say that the EITC caused the the proportion of mothers in the workplace to increase 15 percentage points.) + + +# 5. Difference-in-difference with regression + +Run a regression model to find the diff-in-diff estimate of the effect of the EITC on employment (`work`) (hint: remember that you'll be using an interaction term). + +```{r} +# Regression model here +``` + +**How does this value compare with what you found in part 4 earlier? What is the advantage of doing this instead of making a 2x2 table?** + + +# 6. Difference-in-difference with regression and controls + +Run a new regression model with demographic controls. Eissa and Liebman used the following in their original study: non-labor income (family income minus personal earnings, or the `unearn` column), number of children, race, age, age squared, education, and education squared. You'll need to make new variables for age squared and education squared. (These are squared because higher values of age and education might have a greater effect: someone with 4 years of education would have 16 squared years, while someone with 8 years (twice as much) would have 64 squared years (way more than twice as much).) + +```{r} +# Make new dataset with columns for age squared and education squared +# Regression model with demographic controls here +# +# R tends to put interaction terms last in regression tables, so you might not +# see the any_kids * after_1993 coefficient on the first page of the table here +``` + +**Does the treatment effect change? Interpret these findings.** + + +# 7. Varying treatment effects + +Make two new binary indicator variables showing if the woman has one child or not and two children or not. Name them `one_kid` and `two_plus_kids` (hint: use `mutate(BLAH = children == SOMETHING)`. + +```{r} +# Make new dataset with one_kid and two_plus_kids indicator variables +``` + +Rerun the regression model from part 6 (i.e. with all the demographic controls), but remove the `any_kids` and `any_kids * after_1993` terms and replace them with two new interaction terms: `one_kid * after_1993` and `two_plus_kids * after_1993`. + +```{r} +# Run regression with both of the new interaction terms instead of +# any_kids * after_1993 +``` + +**For which group of women is the EITC treatment the strongest for (i.e. which group sees the greatest change in employment)? Why do you think that is?** + + +# 8. Check parallel trends with fake treatment + +To make sure this effect isn't driven by any pre-treatment trends, we can pretend that the EITC was expanded in 1991 (starting in 1992) instead of 1993. + +Create a new dataset that only includes data from 1991–1993 (hint: use `filter()`). Create a new binary before/after indicator named `after_1991` (hint: `year >= 1992`). Use regression to find the diff-in-diff estimate of the EITC on `work` (don't worry about adding demographic controls). + +```{r} +eitc_fake_treatment <- eitc %>% + filter(year < 1994) %>% + mutate(after_1991 = year >= 1992) +# Make new dataset that only includes rows less than 1994 (with filter), and add +# a new binary indicator variable for after_1991 + +# Run simple regression with interaction term any_kids * after_1991 +``` + +**Is there a significant diff-in-diff effect? What does this mean for pre-treatment trends?** diff --git a/docs/_site/projects/problem-set-5/data/MonthlyPanel.dta b/docs/_site/projects/problem-set-5/data/MonthlyPanel.dta new file mode 100644 index 00000000..c93aef19 Binary files /dev/null and b/docs/_site/projects/problem-set-5/data/MonthlyPanel.dta differ diff --git a/docs/_site/projects/problem-set-5/problem-set-5.Rproj b/docs/_site/projects/problem-set-5/problem-set-5.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/problem-set-5/problem-set-5.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-5/your-name_problem-set-5.Rmd b/docs/_site/projects/problem-set-5/your-name_problem-set-5.Rmd new file mode 100644 index 00000000..0997d101 --- /dev/null +++ b/docs/_site/projects/problem-set-5/your-name_problem-set-5.Rmd @@ -0,0 +1,252 @@ +--- +title: "Problem set 5: Do police reduce car thefts?" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +In 2004, Rafael Di Tella and Ernesto Schargrodsky published a study that analyzed the effect of increased police presence on crime. You looked at this study previously in your threats to validity assignment. To measure this effect, Di Tella and Schargrodsky leveraged a quasi-experiment. Following a synagogue bombing in Buenos Aires, Argentina on July 18, 1994, extra municipal police were assigned to protect synagogues around the city. The increase of police patrols on some city blocks, but not others, means that there is arguably a treatment group and control group for increased police presence, which Di Tella and Schargrodsky used to measure the effect of extra police on car thefts. + +The dataset I've provided (`MonthlyPanel.dta`) is a Stata data file nearly 10,000 observations. It comes directly from [Di Tella and Schargrodsky's data appendix available at their study's *AER* webpage](https://www.aeaweb.org/articles?id=10.1257/000282804322970733). This is non-experimental data that includes counts of car thefts for every city block in Buenos Aires from April to December 1994. There are 12 variables: + +- `observ` (we'll rename to `block`): The ID number of the block +- `barrio`: The barrio (neighborhood) for the block +- `calle`: The street for the block +- `altura`: The street number +- `institu1` (we'll rename to `same_block`): Indicator variable marking if there's a Jewish institution on the block (1 if yes, 0 if no) +- `institu3`: Indicator variable marking if there's a Jewish institution within one block (1 if yes, 0 if no) +- `distanci` (we'll rename to `distance`): Distance to the nearest Jewish institution, measured in blocks +- `edpub`: Indicator variable marking if there's an educational building or embassy on the block (1 if yes, 0 if no) +- `estserv`: Indicator variable marking if there's a gas station on the block (1 if yes, 0 if no) +- `banco`: Indicator variable marking if there's a bank on the block (1 if yes, 0 if no) +- `totrob` (we'll rename to `car_theft`): Total number of car robberies +- `mes` (we'll rename to `month`): Month + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, %>%, mutate, filter, group_by, and friends +library(haven) # For loading data from Stata +library(broom) # For showing models as data frames +library(fixest) # For fast, nice, fixed effects regression +library(modelsummary) # For side-by-side regression tables + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +# Load terror data +terror <- read_stata("data/MonthlyPanel.dta") %>% + # The attack happened on July 18. The authors omitted data from July 19-31, so + # all July observations are from before the attack. Make a new indicator + # variable `after` to mark if the row is from before or after the attack + mutate(after = mes > 7) %>% + # There are some weird months in the data like 73. Filter out anything > 12 + filter(mes <= 12) %>% + # Rename some columns to be more readable + rename(same_block = institu1, + distance = distanci, + car_theft = totrob, + month = mes, + block = observ) %>% + # Create indicator variables for the distance of each block to a synagogue + mutate(one_block_away = ifelse(distance == 1, 1, 0), + two_blocks_away = ifelse(distance == 2, 1, 0), + more_than_two_away = ifelse(distance > 2, 1, 0)) %>% + # Make these factors/categories + mutate(block = as.factor(block), + month = as.factor(month), + same_block_factor = as.factor(same_block)) +``` + +# 1. Research design + +**Imagine you went out and collected data on the presence of police in each city, and the amount of crime in each city, and found a positive relationship. Does this mean police *cause* crime? Explain.** + +Answer here. + + +Di Tella and Ernesto Schargrodsky explore this question with a difference-in-difference design. They collected data on both the presence of police and car robberies in Buenos Aires city blocks both before and after the attack. Their interest is in seeing whether the extra police reduced the amount of car theft. **How is this data suitable for a diff-in-diff design? What would we be comparing here? Be specific about the pre/post treatment/control groups.** + +Answer here. + + +**Why does it help the researchers that the police were dispatched to certain blocks *because of terrorist attacks?*** + +Answer here. + + + +# 2. Trends + +One of the most crucial assumptions for difference-in-differences designs is the idea that the trends in the treatment and control groups need to be parallel prior to the intervention or program. **Why?** + +Answer here. + + +Create a plot that shows the average number of car thefts per month for blocks with synagogues and blocks without (Hints: it'll be easiest if you make a smaller dataset using `group_by()` and `summarize()` and then plot that smaller dataset with `ggplot()` Make sure you group by `month` and `same_block_factor`. Add `group = same_block_factor` as an aesthetic so the line goes across the categorical months on the x-axis). Add a vertical line (`geom_vline(xintercept = "7")`) in the month where the terror attack happened. + +**What would you say about the parallel trends assumption here? Does it hold up? Maybe? Maybe not?** + +Answer here + +```{r plot-trends} +# Make a plot here +``` + + +# 3. Difference-in-differences by hand-ish + +Calculate the average number of car thefts in the treatment and control groups before and after the attack. (Hint: group by `same_block` and `after` and find the average of `car_theft`.) + +```{r manual-diff-diff} +# Calculate average of car_theft across same_block and after + +``` + +Calculate the difference-in-difference estimate given these numbers. + +| | Before attack | After attack | Difference | +|-------------------------|---------------|--------------|------------| +| Block without synagogue | | | | +| Block with synagogue | | | | +| Difference | | | | + +Answer these questions (you don't have to write your answers in list form---a paragraph is fine: + +- **How did car thefts change from before-to-after in blocks *without* synagogues?** +- **How did car thefts change from before-to-after in blocks *with* synagogues?** +- **What's the difference-in-differences?** +- **What does that mean? Interpret the finding.** + + +# 4. Difference-in-differences with regular OLS + +Run a regression model to find the diff-in-diff estimate of the effect of the increased police presence (`after`) on car thefts (`car_theft`) (hint: remember that you'll be using an interaction term). + +```{r simple-diff-diff-model} +# Code here +``` + +**How does this value compare with what you found in part 3 earlier? What is the advantage of doing this instead of making a table?** + +Answer here. + + +# 5. Difference-in-differences with fixed effects OLS + +The diff-in-diff coefficient you found in part 4 is accurate, but the standard errors and $R^2$ are wrong (run `glance()` on your model object to see how tiny the $R^2$ is)! This is because of a host of mathy reasons, but also because of the DAG. The effect of increased police presence is confounded by both month and block, but all we've really adjusted for binary before/after (for month) and binary synagogue/no synagogue (for block). By reducing these confounders to just binary variables, we lose a lot of the variation across months and blocks. + +To fix this, run a diff-in-diff model that includes two additional control variables: `block + month`. + +> ***Warning***: this will be *incredibly* slow! There are `r nrow(distinct(terror, block))` blocks and `nrow(distinct(terror, month))` months, and R is finding estimates for each block and month, and the math to do that is complex. Every time you knit this document, R will rerun the model, which takes 5-10 seconds, and the delay when knitting can be annoying. If you want to speed this up across knitting sessions, add the option `cache=TRUE` to the chunk options for this chunk. R will store the results in a temporary file and won't re-run the model if the data hasn't changed. + +**Don't use `tidy` to view the results**. You'll get a table with almost 900 rows and it'll take up pages and pages of your knitted document. If you really want to see the results, filter out the block and month rows (like this:). + +```r +tidy(name_of_model) %>% + filter(!str_starts(term, "month"), + !str_starts(term, "block")) +``` + +```{r really-slow-fe-model, cache=TRUE} +# Code here with block + month in the model +# DON'T RUN tidy() or modelsummary() without filtering out month and block coefficients +``` + +That slowness is miserable. You can get around that by using a different function for OLS that has built-in support for fixed effects (or indicator variables). The `feols()` (fixed-effects OLS) function from the **fixest** package lets you include indicator variables in regression in a more sophisticated way. The math is lighting fast, and the coefficients for each block and year are hidden by default (though you can still see them if you really want). + +The syntax for `feols()` is the same as `lm()`, but with a slight change to accommodate the fixed effects. Use the `|` character to specify a section of the formula that contains the fixed effects: + +```r +model_name <- feols(car_theft ~ same_block*after | block + month, + data = terror) +``` + +One more cool thing that `feols()` can do that normal `lm()` can't is provide robust standard errors. There is systematic variation within blocks and across time, and we can mathematically account for that variation in the standard errors of the regression. (If you've ever used Stata you do this with `reg y x, robust`). If you ever want to use robust and/or clustered standard errors with regular OLS regression in R, check out the [`lm_robust()` function in the **estimatr** package](https://declaredesign.org/r/estimatr/articles/getting-started.html#lm_robust). With `feols()`, you can add an argument to `tidy()` to get the robust standard errors. + +```r +# Stata's default robust SE algorithm is called "Huber-White standard errors", +# and we can get those same numbers here. Look at the documentation for +# summary.fixest() for more robustness and clustering options +tidy(model_name, se = "white") +``` + +Phew. Now that you know about `feols()` and robust standard errors, build a model that finds the diff-in-diff effect that includes fixed effects for block and month. Show the results with `tidy()` using Huber-White standard errors. + +```{r model-a, message=FALSE} +# Code for model A + use tidy() to show Huber-White robust standard errors +``` + +In the original study, the authors also considered the effect of two other treatment variables. Maybe the extra police presence in blocks with synagogues reduced car thefts not just for those blocks, but areas 1 block away or 2 blocks away. + +Run two more models. In the first, keep the `same_block*after` interaction term and add another diff-in-diff interaction for `one_block_away*after`. In the second, keep the same block and one block interaction terms and add one more diff-in-diff interaction for `two_blocks_away*after` + +```{r models-b-c, message=FALSE} +# Code for models B and C + use tidy() to show Huber-White robust standard errors +``` + +Recreate columns A, B, and C from Table 3 from the original article with `modelsummary()`. You'll need to show the results from your three `feols()` models (with one interaction term, with two interactions, and with three interactions). You can tell the table to show robust standard errors like the authors did in their original study by including the `se = "white"` argument, and you can control how many digits are used with the `fmt` (format) argument (the original article used 5 decimal points, so you can too). You can add significance stars by including `stars = TRUE`. + +```r +modelsummary(list(models, go, here), + se = "white", fmt = "%.5f", stars = TRUE) +``` + +```{r show-all-models} + +``` + +Answer these questions: (again, you don't have to keep this in list form when you answer): + +- **Does having extra police reduce thefts on the same block? Is the effect significant?** +- **Does having extra police reduce thefts one block away? Is the effect significant?** +- **Does having extra police reduce thefts two blocks away Is the effect significant?** + + +# 6. Translate results to something more interpretable + +According to the third model, having additional police on a block caused a reduction of 0.081 car thefts per month on average. What the heck does that even mean though? This whole outcome variable is weird anyway---it's the average number of thefts per block per month, and most block-months have 0 thefts. Having a number like 0.081 doesn't quite represent the proportion of crime or anything logically interpretable or anything. It's a little hard to talk about. + +To fix this, we can talk about percent changes instead. Recall from past classes (like microeconomics or GRE prep questions) that you can calculate the percent change (or growth) between two numbers with this formula: + +$$ +\text{percent change} = \frac{\text{new} - \text{old}}{\text{old}} +$$ + +You can remember this as **NOO**, for **n**ew minus **o**ld divided by **o**ld. With treatment and outcome groups, you can find the percent change because of a program or policy by using treatment as "new" and outcome as "old". + +Imagine if after some program, the treatment group had an outcome of 3 while the control group had an outcome of 6. The percent change in outcome because of the causal effect of the program is $\frac{3 - 6}{6}$, or -0.5: + +```{r example-pct-change} +(3 - 6) / 6 +``` + +This means that this fake program *caused* a 50% reduction in the outcome. + +--- + +Find the percent change in car thefts because of the increase police presence after the July terror attack *using the results from Model C*. To do this, you need two numbers: (1) the average number of thefts in control blocks after the attack, and (2) the average number of thefts in treatment blocks after the attack. Because you're using Model C, your control group includes blocks that don't have synagogues within two blocks. + +Use `group_by()` and `summarize()` to calculate the average number of thefts after the attack in control blocks (Hint: this will be just like the diff-in-diff by hand table you made in section 3, but instead of grouping by `same_block`, group by `more_than_two_away`). + +```{r terror-treatment-control} + +``` + +Subtract the diff-in-diff effect for "same_block × after" from Model C from the average in the control group to find the average number of car thefts in treatment blocks. (Note: It'll be really tempting to just look at the table for the average for treatment + after, but this won't be right! You need to use control + diff-in-diff, since that's the counterfactual.) + +Finally, calculate the percent change in car thefts after the terror attack across treatment and control blocks (hint: the answer is in the third full paragraph on p. 123 of the original article). + +```{r terror-pct-change} + +``` diff --git a/docs/_site/projects/problem-set-6/data/attendance_program.csv b/docs/_site/projects/problem-set-6/data/attendance_program.csv new file mode 100644 index 00000000..7adbf035 --- /dev/null +++ b/docs/_site/projects/problem-set-6/data/attendance_program.csv @@ -0,0 +1,1201 @@ +id,attendance,treatment,grade +1,91.69,FALSE,87.75 +2,69.55,TRUE,60.42 +3,47.98,TRUE,18.16 +4,98.37,FALSE,86.13 +5,66.1,TRUE,47.56 +6,64.24,TRUE,40.06 +7,84.5,FALSE,84.29 +8,84.11,FALSE,70.7 +9,84.36,FALSE,85.07 +10,88.44,FALSE,86.51 +11,83.12,FALSE,65.72 +12,89.63,FALSE,78.77 +13,87.11,FALSE,70.64 +14,73.95,TRUE,59.62 +15,51.83,TRUE,16.57 +16,77.21,TRUE,62.16 +17,83.61,FALSE,80.57 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a/docs/_site/projects/problem-set-6/your-name_problem-set-6.Rmd b/docs/_site/projects/problem-set-6/your-name_problem-set-6.Rmd new file mode 100644 index 00000000..dc0d97a8 --- /dev/null +++ b/docs/_site/projects/problem-set-6/your-name_problem-set-6.Rmd @@ -0,0 +1,203 @@ +--- +title: "Problem set 6: Mandatory school attendance program" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +There is substantial research and evidence that [class attendance has a positive and significant effect on student performance](http://graphics8.nytimes.com/packages/pdf/nyregion/20110617attendancereport.pdf). Because of this, state and local government agencies and school districts have designed programs and policies that incentivize students to not miss school days. Examples include tangible prizes like [colorful pendants and free tickets to events](https://www.nytimes.com/2011/06/17/nyregion/city-reduces-chronic-absenteeism-in-public-schools.html), [automated calls from celebrities](https://cityroom.blogs.nytimes.com/2011/02/10/schools-use-celebrity-robo-calls-to-battle-truancy/), or [class policies that mandate attendance](https://people.ucsc.edu/~cdobkin/Papers/2010%20Skipping%20class%20in%20college%20and%20exam%20performance%20Evidence%20from%20a%20regression%20discontinuity%20classroom%20experiment.pdf). + +Existing research has used a range of methods to test the relationship between attendance programs and student performance, including [simple regression analysis](https://dx.doi.org/10.1016/j.sbspro.2016.07.051), [randomized experiments](https://dx.doi.org/10.3200/JECE.39.3.213-227), and [regression discontinuity approaches](https://people.ucsc.edu/~cdobkin/Papers/2010%20Skipping%20class%20in%20college%20and%20exam%20performance%20Evidence%20from%20a%20regression%20discontinuity%20classroom%20experiment.pdf). + +In this assignment, you will use regression discontinuity approaches to measure the effect of a hypothetical program on hypothetical student grades (this data is 100% fake). + +In this simulated program, high school students who have less than 80% attendance during their junior year (11th grade) are assigned to a mandatory school attendance program during their senior year (12th grade). This program requires them to attend school and also provides them with additional support and tutoring to help them attend and remain in school. At the end of their senior year, students take a final test to assess their overall learning in high school. + +The dataset I've provided contains four columns: + +- `id`: A randomly assigned student ID number +- `attendance`: The proportion of days of school attended during a student's junior year (ranges from 0 to 100) +- `treatment`: Binary variable indicating if a student was assigned to the attendance program during their senior year +- `grade`: A student's final test grade at the end of their senior year + + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(rdrobust) +library(rddensity) +library(broom) +library(modelsummary) + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +program <- read_csv("data/attendance_program.csv") +``` + + +# Step 1: Determine if process of assigning treatment is rule-based + +**Was assignment to this program based on an arbitrary rule? Is it a good candidate for a regression discontinuity approach? Why or why not?** + + +# Step 2: Determine if the design is fuzzy or sharp + +Make a plot that shows the running variable (`attendance`) on the x-axis and the program indicator variable (`treatment`) on the y-axis. Show the relationship using points (`geom_point`) and color the points by `treatment`. + +**How strict was the application of the rule? Did any students with attendance above 80% get into the attendance program, or did any students with attendance under 80% not get into the program? Is there a sharp difference in treatment at the cutpoint?** + +```{r} +# Dot plot with attendance on the x-axis and treatment on the y-axis +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +Next, you should check that there was no manipulation in the running variable. We don't want to see a ton of students with 81% or 79% attendance, since that could be a sign that administrators fudged the numbers to either push students into the program or out of the program. + +First, make a histogram of the running variable and see if there are any big jumps around the threshold. Fill the histogram by `treatment` and add a vertical line at 80 (`geom_vline(xintercept = 80)`) to show the cutoff. Use an approprite bin width. If the column near 80 is split into two different colors (it might be, since it might be showing 79 and 80 together), add `boundary = 80` inside `geom_histogram()` to force ggplot to start a bar at 80 and not include 79. + +**Does it look like there's an unexpected jump in the running variable around the cutoff?** + +```{r} +# Histogram of attendance +``` + +Next, conduct a McCrary density test with `rdplotdensity()` from the `rddensity` library. Refer to the in-class example for the syntax (you'll need to specify `rdd`, `X` (note that it's capitalized), and `type = "both"`). Also, if you don't want two plots to show up when you knit, make sure you assign the output of `rdplotdensity()` to a variable. + +**Is there a substantial jump at the cutpoint?** + +```{r} +# McCrary test +``` + + +# Step 4: Check for discontinuity in outcome across running variable + +Make a scatterplot with the running variable on the x-axis (`attendance`) and the outcome variable on the y-axis (`grade`), with the points colored by treatment (`treatment`). Make the points small (`size = 0.5` or something similar) and semitransparent (`alpha = 0.5` or something similar) since there are a lot of them. Add a vertical line at the cutoff point. Add two `geom_smooth()` lines: one using data before the cutoff and one using data after the cutoff. Make sure both lines use `method = "lm"`. Refer to the example for the code you need to do this. + +**Based on this graph, does the program have an effect? Is there a discontinuity in outcome around the cutpoint? Interpret the effect (or non-effect) of the program.** + +```{r} +# Graph showing discontinuity in grades across levels of attendance +``` + + +# Step 5: Measure the size of the effect + +Now you need to measure the size and statistical significance of the discontinuity. If there's a jump because of the program, how big is it and how much can we trust it? You'll do this two ways: (1) parametrically with linear regression and (2) nonparametrically with curvy lines and fancy econometrics algorithms built in to the `rdrobust()` function. + +## Parametric estimation + +Create a new dataset based on `program` that has a new variable in it named `attendance_centered`. This will be the value of `attendance` minus 80. This centers student attendance around the cutpoint (if a student had 85% attendance, they'd have a value of 5; if they had 70% attendance, they'd have a value of 10; etc.) and makes it easier to interpret the intercept coefficient in linear models since it shifts the y-intercept up to the cutpoint instead of zero. + +```{r} +# Add column to program that centers attendance +``` + +Run a regression model explaining `grade` with `attendance_centered + treatment`: + +$$ +\text{Grade} = \beta_0 + \beta_1 \text{Attendance (centered)} + \beta_2 \text{Program} + \epsilon +$$ + +Make sure you use the data frame that has your new `attendance_centered` variable. + +**Interpret the three coefficients. How big is the effect of the program? Is it statistically significant?** + +```{r} +# Linear model +``` + +Now make two new datasets based on the one you made previously with the `attendance_centered` variable. Filter one so that it only contains observations where `attendance_centered` is between -5 and 5, and filter the other so that it only contains observations where `attendance_centered` is between -10 and 10. + +Run the same model (`grade ~ attendance_centered + program`) using each of these data frames. Interpret the coefficients. Are they different from the model that uses the complete data? + +```{r} +# Data and model with bandwidth = 5 +``` + +```{r} +# Data and model with bandwidth = 10 +``` + +**Put all three models in a side-by-side table with `modelsummary()`. How does the coefficient for `program` change across the model specifications? How does the number of observations change? What advantages and disadvantages are there to restricting the data to ±5 or ±10 around the cutpoint? Which program effect do you believe the most? Why?** + +```{r} +# All three models +``` + + +## Nonparametric estimation + +Next you'll use nonparametric estimation to figure out the size of the gap around the cutpoint. Remember from class that this means we're not using straight lines anymore---we're using curvy lines that don't really have neat $y = mx + b$ equations behind them, so we can't use `lm()` and regular coefficients. Instead, we can use `rdrobust` to measure the size of the gap. + +Use `rdrobust` with all its default options to find the effect of the program. You'll need to specify `y`, `x`, and `c`. Recall from the in-class example that you'll need to type the name of the variables slighlty differently. To refer to the grade column in the program data frame, you'll have to type `program$grade`. Also, make sure you pipe the output of `rdrobust()` to `summary()`, otherwise you won't see the actual program effect (so make sure you type `rdrobust(...) %>% summary()`). + +**How big of an effect does the program have at the cutpoint? Is the effect statistically significant?** Important: if you see a negative number, you can pretend that it's positive. It's negative because the change in trend goes down. + +```{r} +# rdrobust() +# Note: You don't need to use attendance_centered anymore; that was just for lm() +``` + +Make a plot of the effect using `rdplot()`. You'll use the same `y`, `x`, and `c` that you did in `rdrobust()` above. + +```{r} +# Plot +``` + +## Nonparametric sensitivity checks + +Now that we have an effect, we can adjust some of the default options to see how robust the effect size is. + +First we'll play with the bandwidth. Find the ideal bandwidth with with `rdbwselect()`, then run `rdrobust` with twice that bandwidth and half that bandwidth (hint: use `h = SOMETHING`). + +```{r} +# Find the ideal bandwidth. Make sure rdbwselect() pipes into summary() so you +# can see the results: rdbwselect() %>% summary() +# +# You'll use the same y, x, and c as before +``` + +```{r} +# rdrobust() with half bandwidth + +# rdrobust() with two times the bandwidth +``` + +Next we'll play with the kernel. Use the default ideal bandwidth and adjust the kernel to change how heavily weighted the observations right by the cutoff are. You already used a triangular kernel---that was the first `rdrobust()` model you ran, since triangular is the default. Try using Epanechnikov and uniform kernels (look at the help file for `rdrobust` or look at the in-class example to see how to specify different kernels): + +```{r} +# rdrobust() with an Epanechnikov kernel + +# rdrobust() with a uniform kernel +``` + + +# Step 6: Compare all the effects + +**Make a list of all the effects you found. Which one do you trust the most? Why?** + +Write them in this table if it's helpful: + +| Method | Bandwidth | Kernel | Estimate | +|:-------------:|:---------:|:--------------------:|:--------:| +| Parametric | Full data | Unweighted | | +| Parametric | 10 | Unweighted | | +| Parametric | 5 | Unweighted | | +| Nonparametric | ??? | Triangular | | +| etc | | etc | | + + +**Does the program have an effect? Should it be rolled out to all schools? 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a/docs/_site/projects/problem-set-7/your-name_problem-set-7.Rmd b/docs/_site/projects/problem-set-7/your-name_problem-set-7.Rmd new file mode 100644 index 00000000..d5a93917 --- /dev/null +++ b/docs/_site/projects/problem-set-7/your-name_problem-set-7.Rmd @@ -0,0 +1,132 @@ +--- +title: "Problem set 7: Education and wages + public housing and health" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(estimatr) # For lm_robust() and iv_robust() +library(modelsummary) # For showing side-by-side regression tables +``` + + +# Task 1: Education, wages, and kids + +Let's look once again at the effect of education on earnings. You'll use data from the 1976 Current Population Survey run by the US Census. The data is available as `wage` in the **wooldridge** R package---here I've just taken a subset of variables and renamed them. There are three columns: + +| Variable name | Description | +| -------------- | ------------------------------------------ | +| `wage` | Average hourly earnings (in 1976 dollars) | +| `education` | Years of education | +| `n_kids` | Number of dependents living at home | + +You're interested in estimating $\beta_1$ in: + +$$ +\text{Wage}_i = \beta_0 + \beta_1 \text{Education}_i + \epsilon_i +$$ + +However, there is an issue with omitted variable bias and endogeneity. Instrumental variables can potentially help address the endogeneity. + +## Step 1 + +Load and look at the dataset + +```{r load-wage-data, message=FALSE} +wages <- read_csv("data/wages.csv") +``` + +## Step 2 + +We need an instrument for education, since part of it is endogenous. Do you think the variable `n_kids` (the number of children) would be a valid instrument? Does it meet the three requirements of a valid instrument? + +ANSWER HERE + +Explain why it passes or fails each of the three requirements for a valid instrument. Test the requirements where possible using scatterplots and regression. + +ANSWER HERE and include plots and regression + +## Step 3 + +Assume that the number of children is a valid instrument (regardless of whatever you concluded earlier). Using the number of children (`n_kids`) as an instrument for education (`education`), estimate the effect of education on wages via two-stage least squares (2SLS) instrumental variables (IV). + +Do this by hand: create a first stage model, extract the predicted education, and use predicted education in the second stage. + +Interpret the coefficient that gives the effect of education on wages ($\beta_1$) and its significance. + +DO ALL THAT HERE + +(Remember that you can also use the `iv_robust()` function from the **estimatr** package to run IV/2SLS models in one step with: `iv_robust(y ~ x | z, data = data)`, where `y` is the outcome, `x` is the policy/program, and `z` is the instrument. Try doing this to check your manual two-stage model.) + +## Step 4 + +Run a naive model predicting the effect of education on wages (i.e. without any instruments). How does this naive model compare with the IV model? + +Show the results side-by-side here: + +TABLE HERE + +## Step 6 + +Explain which estimates (OLS vs. IV/2SLS) you would trust more (or why you distrust both) + +ANSWER HERE + + +--- + + +# Task 2: Public housing and health + +[Economic research shows](https://dx.doi.org/10.1002/pam.20288) that there is a potential (albeit weak) connection between health outcomes and residency in public housing. You are interested in finding the effect of public housing assistance on health outcomes. In the absence of experimental data, you must use observational data collected by the Georgia Department of Public Health. You have access to a dataset of 1,000 rows with the following columns: + +| Variable name | Description | +| --------------------- | -------------------------------------------------------------------------------- | +| `HealthStatus` | Health status on a scale from 1 = poor to 20 = excellent | +| `HealthBehavior` | Omitted variable (you can't actually measure this!) | +| `PublicHousing` | Number of years spent in public housing | +| `Supply` | Number of available public housing units in the city per 100 eligible households | +| `ParentsHealthStatus` | Health status of parents on a scale from 1 = poor to 20 = excellent | +| `WaitingTime` | Average waiting time before obtaining public housing in the city (in months) | +| `Stamp` | Dollar amount of food stamps (SNAP) spent each month | +| `Age` | Age | +| `Race` | Race; 1 = White, 2 = Black, 3 = Hispanic, 4 = Other | +| `Education` | Education; 1 = Some high school, 2 = High school, 3 = Bachelor's, 4 = Master's | +| `MaritalStatus` | Marital status; 1 = Single, 2 = Married, 3 = Widow, 4 = Divorced | + +(This is simulated data, but it's based on analysis by [Angela R. Fertig and David A. Reingold](https://dx.doi.org/10.1002/pam.20288)) + +Your goal is to measure the effect of living in public housing (`PublicHousing`) on health (`HealthStatus`). There is omitted variable bias, though, since people who care more about their health might be more likely to self-select into public housing and report a better health status score. The magic variable `HealthBehavior` measures this omitted variable, and you can use it as reference to make sure you get the models right (this is the same as "ability" in the examples in class), but don't include it in any of your actual models, since it's not real. + +This data includes four potential instruments: + +- `Supply`: Number of available public housing units in the city per 100 eligible households +- `ParentsHealthStatus`: Health status of parents on a scale from 1 = poor to 5 = excellent +- `WaitingTime`: Average waiting time before obtaining public housing in the city (in months) +- `Stamp`: Dollar amount of food stamps (SNAP) spent each month + +You have three tasks: + +1. Evaluate the suitability of each of the four potential instruments. Check if they (1) have *relevance* with a scatterplot and model and F-test, (2) meet the *excludability* assumption, and (3) meet the *exogeneity* assumption. Choose one of these as your main instrument and justify why it's the best. Explain why the other three are not. + +2. Estimate a naive model of the effect of public housing on health status (i.e. without any instruments). You can include any control variables you feel appropriate (i.e. that fit in your causal model). If you use variables that are categorical like race, education, or marital status, make sure you wrap them with `as.factor()` to treat them as categories instead of numbers (e.g. `as.factor(education)`). + +3. Estimate the effect of public housing on health status using 2SLS IV. You can use `iv_robust()` to do it all in one step if you want (but you'll still need to run a first-stage model to find the F statistic). Compare the results with the naive model. Which model do you trust (if any), and why? + +```{r load-housing-data, message=FALSE} +housing <- read_csv("data/public_housing.csv") +``` + +DO ALL THAT HERE. diff --git a/docs/_site/projects/problem-set-8/data/evaluation.dta b/docs/_site/projects/problem-set-8/data/evaluation.dta new file mode 100644 index 00000000..16568337 Binary files /dev/null and b/docs/_site/projects/problem-set-8/data/evaluation.dta differ diff --git a/docs/_site/projects/problem-set-8/problem-set-8.Rproj b/docs/_site/projects/problem-set-8/problem-set-8.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/problem-set-8/problem-set-8.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-8/your-name_problem-set-8.Rmd b/docs/_site/projects/problem-set-8/your-name_problem-set-8.Rmd new file mode 100644 index 00000000..8227c51e --- /dev/null +++ b/docs/_site/projects/problem-set-8/your-name_problem-set-8.Rmd @@ -0,0 +1,241 @@ +--- +title: "Problem set 8: The Health Insurance Subsidy Program" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(estimatr) # For lm_robust() and iv_robust() +library(modelsummary) # For showing side-by-side regression tables +library(MatchIt) # For matching +library(rdrobust) # For nonparametric RD +library(rddensity) # For nonparametric RD density tests +library(haven) # For reading Stata files + +set.seed(1234) # Make any random stuff be the same every time you run this + +# Round everything to 3 digits by default +options("digits" = 3) + +# Turn off the message that happens when you use group_by() and summarize() +options(dplyr.summarise.inform = FALSE) + +# Load raw data +hisp_raw <- read_stata("data/evaluation.dta") + +# Make nice clean dataset to use for the rest of the assignment +hisp <- hisp_raw %>% + # Having a numeric 0/1 column is sometimes helpful for things that don't like + # categories, like matchit() + mutate(enrolled_num = enrolled) %>% + # Convert these 0/1 values to actual categories + mutate(eligible = factor(eligible, labels = c("Not eligible", "Eligible")), + enrolled = factor(enrolled, labels = c("Not enrolled", "Enrolled")), + round = factor(round, labels = c("Before", "After")), + treatment_locality = factor(treatment_locality, labels = c("Control", "Treatment")), + promotion_locality = factor(promotion_locality, labels = c("No promotion", "Promotion"))) %>% + # Get rid of this hospital column because (1) we're not using it, and (2) half + # of the households are missing data, and matchit() complains if any data is + # missing, even if you're not using it + select(-hospital) +``` + + +The World Bank's *Impact Evaluation in Practice* has used a hypothetical example of a health insurance program throughout the book. This Health Insurance Subsidy Program (HISP) provides subsidies for buying private health insurance to poorer households, with the goal of lowering personal health expenditures, since people can rely on insurance coverage instead of paying out-of-pocket. Think of the HISP as a version of the Affordable Care Act (ACA, commonly known as Obamacare). + +The dataset includes a number of important variables you'll use throughout this assignment: + +| Variable name | Description | +| --------------------- | ---------------------------------------------------------------- | +| `health_expenditures` | Out of pocket health expenditures (per person per year) | +| `eligible` | Household eligible to enroll in HISP | +| `enrolled` | Household enrolled in HISP | +| `round` | Indicator for before and after intervention | +| `treatment_locality` | Household is located in treatment community | +| `poverty_index` | 1-100 scale of poverty | +| `promotion_locality` | Household is located in community that received random promotion | +| `enrolled_rp` | Household enrolled in HISP following random promotion | + + +It also includes several demographic variables about the households. **Each of these are backdoor confounders between health expenditures participation in the HISP**: + +| Variable name | Description | +| ------------------- | --------------------------------------------------------- | +| `age_hh` | Age of the head of household (years) | +| `age_sp` | Age of the spouse (years) | +| `educ_hh` | Education of the head of household (years) | +| `educ_sp` | Education of the spouse (years) | +| `female_hh` | Head of household is a woman (1 = yes) | +| `indigenous` | Head of household speaks an indigenous language (1 = yes) | +| `hhsize` | Number of household members | +| `dirtfloor` | Home has a dirt floor (1 = yes) | +| `bathroom` | Home has a private bathroom (1 = yes) | +| `land` | Number of hectares of land owned by household | +| `hospital_distance` | Distance to closest hospital (km) | + + +You will use each of the five main econometric approaches for estimating causal effects to measure the effect of HISP on household health expenditures. **Don't worry about conducting in-depth baseline checks and robustness checks.** For the sake of this assignment, you'll do the minimum amount of work for each method to determine the causal effect of the program. + + +# Task 1: RCTs + +To measure the effect of HISP accurately, World Bank researchers randomly assigned different localities (villages, towns, cities, whatever) to treatment and control groups. Some localities were allowed to join HISP; others weren't. + +Here's what you should do: + +- Make a new dataset that only looks at eligible households (`filter(eligible == "Eligible")`) +- Make a new dataset that only looks at eligible households *after* the experiment (`filter(round == "After")`) +- Calculate the average health expenditures in treatment and control localities (`treatment_locality`) *before* the intervention (`round == "Before"`). Were expenditures fairly balanced across treatment and control groups before the intervention? +- Calculate the average health expenditures in treatment and control localities *after* the intervention (`round == "After"`) +- Determine the difference in average health expenditures across treatment and control *after* the intervention +- Using data *after* the intervention, use linear regression to determine the difference in means and statistical significance of the difference (hint: you'll want to use `health_expenditures ~ treatment_locality`). Use `lm_robust()` from the **estimatr** package and cluster by `locality_identifier` if you're feeling adventurous. +- Create another model that controls for the following variables: `age_hh + age_sp + educ_hh + educ_sp + female_hh + indigenous + hhsize + dirtfloor + bathroom + land + hospital_distance`. (Use `lm_robust()` again if you're brave.) Does the estimate of the causal effect change? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 2: Inverse probability weighting and/or matching + +Instead of using experimental data, we can estimate the causal effect using observational data alone by closing all the confounding backdoors. In this task, you should **choose one of two approaches**: inverse probability weighting or matching. **AGAIN: you only need to do one of these**. You can do both for fun, but you only need to do **one**. + +Do the following (for both approaches): + +- Make a dataset based on `hisp` that only includes observations from after the intervention (`round == "After"`). Even though you technically have a column that indicates if the household was in the treatment group (`treatment_locality`), you're going to pretend that you don't have it This is now observational data—all you know is that a bunch of households participated in HISP and a bunch didn't. +- Run a naive model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using this after-only observational data. What is the effect? Is this accurate? Why or why not? + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + +***If you're using inverse probability weighting***, do the following: + +- Use logistic regression to model the probability of enrolling in the HISP. Hint: you'll need to use `glm()` (replace stuff in `<>` like `` with actual column names or dataset names). Also, note that this code below isn't in an actual R chunk, so don't try to run it. + +```r +model_logit <- glm(enrolled ~ COUNFOUNDER1 + COUNFOUNDER2 + ..., + data = NAME_OF_YOUR_AFTER_DATASET, + family = binomial(link = "logit")) +``` + +- Generate propensity scores for enrollment in the HISP using something like this code (again, this isn't a chunk; don't try to run it): + +```r +enrolled_propensities <- augment_columns(MODEL_NAME, NAME_OF_YOUR_AFTER_DATASET, + type.predict = "response") %>% + rename(p_enrolled = .fitted) +``` + +- Add a new column to `enrolled_propensities` with `mutate()` that calculates the inverse probability weights using this formula (hint: "propensity" will be `p_enrolled`; "Treatment" will be `treatment_num`): + +$$ +\frac{\text{Treatment}}{\text{Propensity}} + \frac{1 - \text{Treatment}}{1 - \text{Propensity}} +$$ + +- Run a model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using the `enrolled_propensities` data, weighting by your new inverse probability weights column. What is the causal effect of HISP on health expenditures? How does this compare to the naive model? Which do you believe more? Why? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +***If you're using matching***, do the following: + +- Use `matchit()` to find the best matches for enrollment based on Mahalanobis nearest neighbor matching. The `matchit()` function can't work with categorical variables, so make sure you use `enrolled_num` instead of `enrolled`. Use code similar to this (replace stuff in `<>` like `` with actual column names or dataset names). Also, note that this code below isn't in an actual R chunk, so don't try to run it. + +```r +matched <- matchit(enrolled_num ~ COUNFOUNDER1 + COUNFOUNDER2 + ..., + data = NAME_OF_YOUR_AFTER_DATASET, + method = "nearest", distance = "mahalanobis", replace = TRUE) +``` + + It might take a minute to run the matching. If you include `cache=TRUE` in the chunk options, R will keep track of when the chunk changes; if you knit and there's been a change to the chunk, R will run the chunk, but if you knit and there's been no changes, R will use the previous output of the chunk and not actually run it. + +- Run `summary(matched)` and see how many rows were matched and how many will be discarded. +- Use `match.data()` to store the results of the match as a new dataset. +- Run a model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using the matched data, weighting by the `weights` column that `matchit()` generated. What is the causal effect of HISP on health expenditures? How does this compare to the naive model? Which do you believe more? Why? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 3: Diff-in-diff + +Instead of using experimental data, we can estimate the causal effect using observational data alone with a difference-in-difference approach. We have data indicating if households were enrolled in the program (`enrolled`) and data indicating if they were surveyed before or after the intervention (`round`), which means we can find the differences between enrolled/not enrolled before and after the program. + +Do the following: + +- Make a new dataset based on `hisp` that only includes observations from the localities that were randomly chosen for treatment (`treatment_locality == "Treatment"`) +- Using that new dataset, run a regression model that estimates the difference-in-difference effect of being enrolled in the HISP program (huge hint: use `health_expenditures ~ enrolled + round + enrolled * round`). Use `lm_robust()` and cluster by `locality_identifier` if you're brave. What is the causal effect of HISP on health expenditures? +- Run a second model that estimates the difference-in-difference effect, but control for the following variables: `age_hh + age_sp + educ_hh + educ_sp + female_hh + indigenous + hhsize + dirtfloor + bathroom + land + hospital_distance`. (Again, cluster by `locality_identifier` if you're brave.) How does the causal effect change? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 4: RDD + +Eligibility for the HISP is determined by income. Households that have an income of less than 58 on a standardized 1-100 scale (`poverty_index`) qualify for the program and are automatically enrolled. Because we have an arbitrary cutoff in a running variable, we can use regression discontinuity to measure the effect of the program on health expenditures. + +Do the following: + +- Make a new dataset based on `hisp` that only includes observations from the localities that were randomly chosen for treatment (`treatment_locality == "Treatment"`) +- Use `mutate()` to add new variable that centers the poverty index variable at 58 +- Determine if the discontinuity is sharp or fuzzy. (Hint: create a scatterplot with `poverty_index` on the x-axis, `enrolled` on the y-axis, and a vertical line at 58.) +- Determine if the distribution of the running variable (`poverty_index`) has a jump near the cutoff (it shouldn't). (Hint: create a histogram with `poverty_index` on the x-axis and a vertical line at 58. Use a McCrary test to see if there's a significant break in the distribution at 58.) +- Visualize the jump in outcome at the cutoff with a scatterplot (Hint: create a scatterplot with `poverty_index` on the x-axis, `health_expenditures` on the y-xis, color by `enrolled`, add a vertical line at 58, and add trendlines with `geom_smooth(method = "lm")`. You might want to adjust the size and transparency of the points with `geom_point(alpha = 0.2, size = 0.2)` or something similar.) +- Graphically, does it look like the HISP reduces health expenditures? +- Build a parametric regression model to estimate the size of the gap at the cutoff. You'll want to use the centered policy index variable to make it easier to interpret. You probably want to create a new dataset that only includes observations within some bandwidth that you choose (`filter(poverty_index_centered >= SOMETHING & poverty_index_centered <= SOMETHING)`). How big is the effect? +- Use `rdrobust()` from the **rdrobust** library to estimate the size of the gap nonparametrically. For the sake of simplicity, just use the default (automatic) bandwidth and kernel. How big is the effect? + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 5: IVs/2SLS + +Finally, we can use an instrument to remove the endogeneity from the choice to enroll in the HISP and estimate the causal effect from observational data. As you read in chapter 5, World Bank evaluators randomly selected households to receive encouragement to enroll in HISP. You can use this encouragement as an instrument for enrollment. + +Do the following: + +- Create a dataset based on `hisp` that only includes observations from after the intervention (`round == "After"`) +- Build a naive regression model that estimates the effect of HISP enrollment on health expenditures. You'll need to use the `enrolled_rp` variable instead of `enrolled`, since we're measuring enrollment after the encouragement intervention. (Hint: you'll want to use `health_expenditures ~ enrolled_rp`.) What does this naive model tell us about the effect of enrolling in HISP? +- Check the relevance, exclusion, and exogeneity of promotion (`promotion_locality`) as an instrument. For relevance, you'll want to run a model that predicts enrollment based on promotion (hint: `enrolled_rp ~ promotion_locality`) and check (1) the significance of the coefficient and (2) the F-statistic. For exclusion and exogeneity, you'll have to tell a convincing story that proves promotion influences health expenditures *only through* HISP enrollment. +- Run a 2SLS regression model with promotion as the instrument. You can do this by hand if you want (i.e. run a first stage model, extract predicted enrollment, and use predicted enrollment as the second stage), *or* you can just use the `iv_robust()` function from the **estimatr** library. (Hint: you'll want to use `health_expenditures ~ enrolled_rp | promotion_locality` as the formula). After removing the endogeneity from enrollment, what is the casual effect of enrollment in the HISP on health expenditures? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 6: Summary + +You just calculated a bunch of causal effects. List them here. Which one do you trust the most? Why? diff --git a/docs/_site/projects/problem-set-9/problem-set-9.Rproj b/docs/_site/projects/problem-set-9/problem-set-9.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/problem-set-9/problem-set-9.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/problem-set-9/your-name_problem-set-9.Rmd b/docs/_site/projects/problem-set-9/your-name_problem-set-9.Rmd new file mode 100644 index 00000000..3f8b6600 --- /dev/null +++ b/docs/_site/projects/problem-set-9/your-name_problem-set-9.Rmd @@ -0,0 +1,115 @@ +--- +title: "Problem set 9: Making fake data" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(ggdag) # For drawing DAGs +library(scales) # For rescaling data with rescale() +library(truncnorm) # For truncated normal distributions + +set.seed(1234) # Make any random stuff be the same every time you run this + +# Turn off the message that happens when you use group_by() and summarize() +options(dplyr.summarise.inform = FALSE) +``` + +Many MPA and MPP programs offer a brief math camp in the weeks before students begin their graduate degrees, with the hope that it will help students by more prepared in math-heavy classes like statistics and microeconomics. + +You're interested in evaluating the effectiveness of a hypothetical math camp program. Does attending math camp cause higher grades in statistics classes? + +This program is not randomized and it's not mandatory—anyone can decide to sign up (or not!), which means you have selection bias and confounding to worry about. + +You don't have any data for this, but that's okay! You can simulate some data and set up the infrastructure for answering this question later with real data. + +These two guides will be incredibly helpful for this assignment: + +- Generating random numbers: +- The ultimate guide to generating synthetic data for causal inference: + + +## 1: Draw a DAG that maps out how all the columns you care about are related + +For the sake of this example, we'll think about a DAG with just four nodes. Students' GRE scores and undergraduate GPAs confound both the choice to enroll in math camp and final class grades. Additionally, undergraduate degrees help cause GRE scores. + +```{r math-camp-dag, fig.width=6, fig.height=4, fig.align="center"} +math_camp_dag <- dagify(grade ~ camp + gpa + gre, + camp ~ gpa + gre, + gre ~ gpa, + outcome = "grade", + exposure = "camp", + coords = list(x = c(camp = 1, gpa = 2, gre = 3, grade = 4), + y = c(camp = 1, gpa = 2, gre = 2, grade = 1))) + +ggdag_status(math_camp_dag) + + theme_dag() + + guides(color = "none") # Turn off legend +``` + + +## 2: Specify how those nodes are measured + +Here's how these columns are measured: + +- **GPA**: Scale from 1.5 to 4.0 with two decimals (i.e. values like 3.54 are fine). Mostly clustered around 3.5, plus or minus some amount that you decide. You'll either want to scale down whatever values you create with `rescale()`, or use `rtruncnorm()` to constrain the values within the plausible range. +- **GRE**: Scale from 130 to 170 with no decimals (i.e. values like 145.32 are bad). Mostly clustered around 150, plus or minus some amount that you decide. You'll either want to scale down whatever values you create with `rescale()`, or use `rtruncnorm()` to constrain the values within the plausible range. +- **Math camp**: Binary variable. Roughly 50% of students enroll in math camp. +- **Final grade**: Final exam score in a student's statistics class. Scale from 0 to 100 with one decimal (i.e. values like 75.2 are fine), mostly clustered around 70 (it's a hard test), plus or minus some amount that you decide. + +## 3: Specify the relationships between the nodes based on the DAG equations + +In the DAG, there are three sets of relationships, or models: + +- **GPA is associated with GRE scores**: Every 1 point increase in GPA (i.e. moving from a 2.0 to a 3.0) increases GRE scores by 10, on average. +- **Math camp is associated with undergraduate GPA and GRE scores**: Math camp here is a binary variable, so you can't say things like "every 1 point increase in GRE scores changes math camp by X". Instead, you'll want to do something similar to [the example for creating an effect in an observational DAG](https://evalf21.classes.andrewheiss.com/example/synthetic-data/#creating-an-effect-in-an-observational-dag): create a column named `camp_score`, have GPA and GRE *decrease* that score (since people are less likely to enroll in math camp if they have higher GPAs and GRE scores), rescale that math camp score column to be between 0 and 1 to create a `camp_probability` column, and then randomly assign people to math camp based on those probabilities. I don't care what the size of the GPA and GRE effects are (since they'll be scaled down and binary-ized anyway)—just make it so that the probability of math camp goes down as GPA and GPA go up. +- **Final grade is caused by math camp, undergraduate GPA, and GRE scores**: Every 1 point increase in GPA increases final test scores by 10 points, on average. Every 1 point increase in GRE scores increase final test scores by 0.5 points. *Participating in math camp causes a boost of 10 points.* That's the causal effect you're building in. + +## 4: Generate data based on the DAG relationships + +Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely heavily on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled. + +Generate data for 2500 students. + +You'll probably want to rescale columns so you don't end up with GPAs like 6.3, etc. Rescaling distorts the causal effects you build in, so you probably won't do something like `10 * camp`—it'll likely need to be higher. + +```{r create-data} + +``` + + +## 5: Verify all relationships with plots and models + +Make sure the relationships look good. GPA and GRE should be related to each other. Higher values of GPA and GRE should decrease the likelihood of math camp. GPA, GRE, and math camp should all be positively related with final grades. + +Insert as many chunks as you need to here. + + +## 6: Try it out! + +See if you can find the effect. Run two models: + +- `grade ~ camp`: This is the naive, unadjusted, correlation-is-not-causation estimate. It's wrong. +- `grade ~ camp + gpa + gre`: This is the adjusted estimate. Backdoors have been closed and the coefficient for `camp` should be the causal effect. It should be around 10. +- (If you want to be super cool, adjust for GPA and GRE with inverse probability weighting too to see if the ATE for `camp` still holds. This is entirely optional.) + +Insert as many chunks as you need to here. + + +## 7: Save the data + +Make a version of your fake data that removes all the intermediate columns you made. 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+25061,1,0,NA,NA,NA,136,90,0,29,0,19,2,10,2,165.5,90.83,106.59420695,15.764206950000002,54,30,-30,14,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,2,1,6,2,0,1,0,0,0,0,2,2,0,0,1,1,2,NA,243,0,2.16796875,1.940185546875,1.0498046875,0.5499267578125,0.227874755859375,0.5,1629,0,0 diff --git a/docs/_site/projects/rcts-ipw/data/nhefs_codebook.csv b/docs/_site/projects/rcts-ipw/data/nhefs_codebook.csv new file mode 100644 index 00000000..1c2c1b20 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/data/nhefs_codebook.csv @@ -0,0 +1,65 @@ +variable,description +active,"IN YOUR USUAL DAY, HOW ACTIVE ARE YOU? IN 1971, 0:very active, 1:moderately active, 2:inactive" +age,AGE IN 1971 +alcoholfreq,"HOW OFTEN DO YOU DRINK? IN 1971 0: Almost every day, 1: 2-3 times/week, 2: 1-4 times/month, 3: < 12 times/year, 4: No alcohol last year, 5: Unknown" +alcoholhowmuch,"WHEN YOU DRINK, HOW MUCH DO YOU DRINK? IN 1971" +alcoholpy,"HAVE YOU HAD 1 DRINK PAST YEAR? IN 1971, 1:EVER, 0:NEVER; 2:MISSING" +alcoholtype,"WHICH DO YOU MOST FREQUENTLY DRINK? IN 1971 1: BEER, 2: WINE, 3: LIQUOR, 4: OTHER/UNKNOWN" +allergies,"USE ALLERGIES MEDICATION IN 1971, 1:EVER, 0:NEVER" +asthma,"DX ASTHMA IN 1971, 1:EVER, 0:NEVER" +bithcontrol,"BIRTH CONTROL PILLS PAST 6 MONTHS? IN 1971 1:YES, 0:NO, 2:MISSING" +birthplace,CHECK STATE CODE - SECOND PAGE +boweltrouble,"USE BOWEL TROUBLE MEDICATION IN 1971, 1:EVER, 0:NEVER, ; 2:MISSING" +bronch,"DX CHRONIC BRONCHITIS/EMPHYSEMA IN 1971, 1:EVER, 0:NEVER" +cholesterol,SERUM CHOLESTEROL (MG/100ML) IN 1971 +chroniccough,"DX CHRONIC COUGH IN 1971, 1:EVER, 0:NEVER" +colitis,"DX COLITIS IN 1971, 1:EVER, 0:NEVER" +dadth,DAY OF DEATH +dbp,DIASTOLIC BLOOD PRESSURE IN 1982 +death,"DEATH BY 1992, 1:YES, 0:NO" +diabetes,"DX DIABETES IN 1971, 1:EVER, 0:NEVER, 2:MISSING" +education,"AMOUNT OF EDUCATION BY 1971: 1: 8TH GRADE OR LESS, 2: HS DROPOUT, 3: HS, 4:COLLEGE DROPOUT, 5: COLLEGE OR MORE" +exercise,"IN RECREATION, HOW MUCH EXERCISE? IN 1971, 0:much exercise,1:moderate exercise,2:little or no exercise" +hayfever,"DX HAY FEVER IN 1971, 1:EVER, 0:NEVER" +hbp,"DX HIGH BLOOD PRESSURE IN 1971, 1:EVER, 0:NEVER, 2:MISSING" +hbpmed,"USE HIGH BLOOD PRESSURE MEDICATION IN 1971, 1:EVER, 0:NEVER, ; 2:MISSING" +headache,"USE HEADACHE MEDICATION IN 1971, 1:EVER, 0:NEVER" +hepatitis,"DX HEPATITIS IN 1971, 1:EVER, 0:NEVER" +hf,"DX HEART FAILURE IN 1971, 1:EVER, 0:NEVER" +hightax82,"LIVING IN A HIGHLY TAXED STATE IN 1982, High taxed state of residence=1, 0 otherwise" +ht,HEIGHT IN CENTIMETERS IN 1971 +income,"TOTAL FAMILY INCOME IN 1971 11:<$1000, 12: 1000-1999, 13: 2000-2999, 14: 3000-3999, 15: 4000-4999, 16: 5000-5999, 17: 6000-6999, 18: 7000-9999, 19: 10000-14999, 20: 15000-19999, 21: 20000-24999, 22: 25000+" +infection,"USE INFECTION MEDICATION IN 1971, 1:EVER, 0:NEVER" +lackpep,"USELACK OF PEP MEDICATION IN 1971, 1:EVER, 0:NEVER" +marital,"MARITAL STATUS IN 1971 1: Under 17, 2: Married, 3: Widowed, 4: Never married, 5: Divorced, 6: Separated, 8: Unknown" +modth,MONTH OF DEATH +nerves,"USE NERVES MEDICATION IN 1971, 1:EVER, 0:NEVER" +nervousbreak,"DX NERVOUS BREAKDOWN IN 1971, 1:EVER, 0:NEVER" +otherpain,"USE OTHER PAINS MEDICATION IN 1971, 1:EVER, 0:NEVER" +pepticulcer,"DX PEPTIC ULCER IN 1971, 1:EVER, 0:NEVER" +pica,"DO YOU EAT DIRT OR CLAY, STARCH OR OTHER NON STANDARD FOOD? IN 1971 1:EVER, 0:NEVER; 2:MISSING" +polio,"DX POLIO IN 1971, 1:EVER, 0:NEVER" +pregnancies,TOTAL NUMBER OF PREGNANCIES? IN 1971 +price71,AVG TOBACCO PRICE IN STATE OF RESIDENCE 1971 (US$2008) +price71_82,DIFFERENCE IN AVG TOBACCO PRICE IN STATE OF RESIDENCE 1971-1982 (US$2008) +price82,AVG TOBACCO PRICE IN STATE OF RESIDENCE 1982 (US$2008) +qsmk,"QUIT SMOKING BETWEEN 1ST QUESTIONNAIRE AND 1982, 1:YES, 0:NO" +race,0: WHITE 1: BLACK OR OTHER IN 1971 +sbp,SYSTOLIC BLOOD PRESSURE IN 1982 +school,HIGHEST GRADE OF REGULAR SCHOOL EVER IN 1971 +seqn,UNIQUE PERSONAL IDENTIFIER +sex,0: MALE 1: FEMALE +smokeintensity,NUMBER OF CIGARETTES SMOKED PER DAY IN 1971 +smkintensity 82_71,INCREASE IN NUMBER OF CIGARETTES/DAY BETWEEN 1971 and 1982 +smokeyrs,YEARS OF SMOKING +tax71,TOBACCO TAX IN STATE OF RESIDENCE 1971 (US$2008) +tax71_82,DIFFERENCE IN TOBACCO TAX IN STATE OF RESIDENCE 1971-1982 (US$2008) +tax82,TOBACCO TAX IN STATE OF RESIDENCE 1971 (US$2008) +tb,"DX TUBERCULOSIS IN 1971, 1:EVER, 0:NEVER" +tumor,"DX MALIGNANT TUMOR/GROWTH IN 1971, 1:EVER, 0:NEVER" +weakheart,"USE WEAK HEART MEDICATION IN 1971, 1:EVER, 0:NEVER" +wt71,WEIGHT IN KILOGRAMS IN 1971 +wt82,WEIGHT IN KILOGRAMS IN 1982 +wt82_71,WEIGHT CHANGE IN KILOGRAMS +wtloss,"USE WEIGHT LOSS MEDICATION IN 1971, 1:EVER, 0:NEVER" +yrdth,YEAR OF DEATH diff --git a/docs/_site/projects/rcts-ipw/data/oregon.csv b/docs/_site/projects/rcts-ipw/data/oregon.csv new file mode 100644 index 00000000..b6ac878c --- /dev/null +++ b/docs/_site/projects/rcts-ipw/data/oregon.csv @@ -0,0 +1,23488 @@ +treatment,owe_medical_12 +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not 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Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe 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+Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money 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+Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money diff --git a/docs/_site/projects/rcts-ipw/data/vaccines-readme.docx b/docs/_site/projects/rcts-ipw/data/vaccines-readme.docx new file mode 100644 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TRUE) +``` + +# Did a job training program increase incomes? + +> The National Supported Work Demonstration project [was] a transitional, subsidized work experience program for four target groups of people with longstanding employment problems: ex-offenders, former drug addicts, women who were long-term recipients of welfare benefits, and school dropouts, many with criminal records. The program provided up to 12-18 months of employment to about 10,000 individuals at 15 locations across the country for four years. In ten of these sites -- Atlanta, Chicago, Hartford, Jersey City, Newark, New York, Philadelphia, Oakland, San Francisco, and Wisconsin, 6,600 eligible applicants were randomly assigned either to experimental groups (offered a job in supported work) or to control groups, and an evaluation was conducted on the effects of the Supported Work Program. ([See here](https://www.icpsr.umich.edu/web/ICPSR/studies/7865) for more details.) + +In 1986, Robert LaLonde [analyzed the results](https://www.jstor.org/stable/1806062) from this experiment and later compared it to observational data. We're going to use his data to see if participating in the job training program increased incomes. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +lalonde <- read_csv("data/lalonde.csv") +``` + +**Causal variables**: + +- Treatment/exposure: `treat` (Individual was assigned to the job training program, 1 = yes, 0 = no) +- Outcome: `re78` (Individual's income in 1978, in US dollars) + +**Possible confounders**: + +- `age`: age in years +- `educ`: education in number of years of schooling +- `race`: the individual's race/ethnicity, (Black, Hispanic, or White) +- `married`: an indicator for marital status (1 = married, 0 = not married) +- `nodegree`: an indicator for whether the individual has a high school degree (1 = no degree, 0 = degree) +- `re74`: income in 1974, in US dollars +- `re75`: income in 1975, in US dollars + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +# Density plot +``` + +```{r} +# group_by + summarize +``` + +```{r} +# Naive model +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=7} +set.seed(1234) + +treat_income_dag <- dagify( + # Specify causes of job training program and 1978 income: + treat ~ educ + race + married + nodegree + re74 + re75, + re78 ~ educ + race + married + nodegree + re74 + re75, + # Specify causal question: + exposure = "treat", + outcome = "re78" +) + +ggdag_status(treat_income_dag) +``` + +## Treatment model + +```{r} +# Treatment model +``` + + +## Propensity scores and weights + +```{r} +# Propensity scores and weights +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +# Check weights +``` + +```{r} +# Check average of weights +``` + + +## Outcome model + +```{r} +# Outcome model +``` diff --git a/docs/_site/projects/rcts-ipw/ipw_job-training_finished.Rmd b/docs/_site/projects/rcts-ipw/ipw_job-training_finished.Rmd new file mode 100644 index 00000000..be16d241 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/ipw_job-training_finished.Rmd @@ -0,0 +1,196 @@ +--- +title: "IPW: Job training" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Did a job training program increase incomes? + +> The National Supported Work Demonstration project [was] a transitional, subsidized work experience program for four target groups of people with longstanding employment problems: ex-offenders, former drug addicts, women who were long-term recipients of welfare benefits, and school dropouts, many with criminal records. The program provided up to 12-18 months of employment to about 10,000 individuals at 15 locations across the country for four years. In ten of these sites -- Atlanta, Chicago, Hartford, Jersey City, Newark, New York, Philadelphia, Oakland, San Francisco, and Wisconsin, 6,600 eligible applicants were randomly assigned either to experimental groups (offered a job in supported work) or to control groups, and an evaluation was conducted on the effects of the Supported Work Program. ([See here](https://www.icpsr.umich.edu/web/ICPSR/studies/7865) for more details.) + +In 1986, Robert LaLonde [analyzed the results](https://www.jstor.org/stable/1806062) from this experiment and later compared it to observational data. We're going to use his data to see if participating in the job training program increased incomes. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +lalonde <- read_csv("data/lalonde.csv") +``` + +**Causal variables**: + +- Treatment/exposure: `treat` (Individual was assigned to the job training program, 1 = yes, 0 = no) +- Outcome: `re78` (Individual's income in 1978, in US dollars) + +**Possible confounders**: + +- `age`: age in years +- `educ`: education in number of years of schooling +- `race`: the individual's race/ethnicity, (Black, Hispanic, or White) +- `married`: an indicator for marital status (1 = married, 0 = not married) +- `nodegree`: an indicator for whether the individual has a high school degree (1 = no degree, 0 = degree) +- `re74`: income in 1974, in US dollars +- `re75`: income in 1975, in US dollars + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +ggplot(lalonde, aes(x = re78, fill = factor(treat))) + + geom_density(alpha = 0.5) +``` + +```{r} +lalonde %>% + group_by(treat) %>% + summarize(avg_income = mean(re78)) +``` + +```{r} +model_naive <- lm(re78 ~ treat, data = lalonde) +tidy(model_naive, conf.int = TRUE) +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=7} +set.seed(1234) + +treat_income_dag <- dagify( + # Specify causes of job training program and 1978 income: + treat ~ educ + race + married + nodegree + re74 + re75, + re78 ~ educ + race + married + nodegree + re74 + re75, + # Specify causal question: + exposure = "treat", + outcome = "re78" +) + +ggdag_status(treat_income_dag) +``` + +## Treatment model + +```{r} +treatment_model <- glm(treat ~ age + educ + race + married + + nodegree + re74 + re75, + data = lalonde, + family = binomial(link = "logit")) +tidy(treatment_model) +``` + + +## Propensity scores and weights + +```{r} +lalonde_wts <- augment(treatment_model, lalonde, type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(ipw = (treat / propensity) + ((1 - treat) / (1 - propensity))) +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +ggplot(lalonde_wts, aes(x = ipw)) + + geom_density(fill = "darkred") +``` + +```{r} +lalonde_wts %>% summarize(avg_wt = mean(ipw)) +mean(lalonde_wts$ipw) +``` + + +## Outcome model + +```{r} +outcome_model <- lm(re78 ~ treat, data = lalonde_wts, weights = ipw) +tidy(outcome_model, conf.int = TRUE) +``` + +## Outcome model with bootstrapped standard errors and confidence intervals + +```{r} +fit_one_ipw <- function(split) { + # Work with just a sampled subset of the full data + current_data <- analysis(split) + + # Fit propensity score model + treatment_model <- glm(treat ~ age + educ + race + married + + nodegree + re74 + re75, + data = current_data, + family = binomial(link = "logit")) + + # Calculate inverse probability weights + lalonde_wts <- augment(treatment_model, current_data, type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(ipw = (treat / propensity) + ((1 - treat) / (1 - propensity))) + + # Fit outcome model with IPWs + model_outcome <- lm(re78 ~ treat, data = lalonde_wts, weights = ipw) + + # Return a tidied version of the model results + return(tidy(model_outcome)) +} + +# Make 1000 copies of the data and run the IPW model on each one +library(rsample) + +ipw_bootstrap_stats <- bootstraps(lalonde, 1000, apparent = TRUE) %>% + mutate(results = map(splits, fit_one_ipw)) + +ipw_bootstrap_stats %>% + unnest(results) %>% + filter(term == "treat") + + +ipw_bootstrap_stats %>% + unnest(results) %>% + filter(term == "treat") %>% + summarize(avg_treat = mean(estimate), + avg_se = sqrt(mean(std.error^2) + var(estimate))) + +ipw_bootstrap_stats %>% + int_t(results) +``` + + +```{r warning=FALSE, message=FALSE, results="hide"} +library(brms) +library(broom.mixed) +library(tidybayes) + +outcome_bayes <- brm( + bf(re78 | weights(ipw) ~ treat), + data = lalonde_wts, + cores = 4 +) +``` + +```{r} +tidy(outcome_bayes) +``` + +```{r} +get_variables(outcome_bayes) + +outcome_draws <- outcome_bayes %>% + gather_draws(b_treat) + +ggplot(outcome_draws, aes(x = .value)) + + stat_halfeye() + + geom_vline(xintercept = 0) + +outcome_draws %>% + summarize(prob_gt_0 = sum(.value > 0) / n()) +``` diff --git a/docs/_site/projects/rcts-ipw/ipw_smoking.Rmd b/docs/_site/projects/rcts-ipw/ipw_smoking.Rmd new file mode 100644 index 00000000..48f2986d --- /dev/null +++ b/docs/_site/projects/rcts-ipw/ipw_smoking.Rmd @@ -0,0 +1,144 @@ +--- +title: "IPW: Smoking and weight gain" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Do people who quit smoking gain weight? + +The NHANES I Epidemiologic Follow-up Study (NHEFS) is a national longitudinal study that was jointly initiated by the National Center for Health Statistics and the National Institute on Aging in collaboration with other agencies of the Public Health Service. The NHEFS was designed to investigate the relationships between clinical, nutritional, and behavioral factors. ([See here](https://wwwn.cdc.gov/nchs/nhanes/nhefs/) for complete details.) + +You're going to use data from the NHEFS to find the causal effect of quitting smoking on weight gain. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +# TODO: Use read_csv() to load data/nhefs.csv + +# TODO: Use read_csv() to load data/nhefs_codebook.csv (so you can know what the +# different columns are actually measuring) +``` + +**Causal variables**: + +- Treatment/exposure: `qsmk` (Respondent quit smoking between 1st questionnaire and 1982, 1 = yes, 0 = no) +- Outcome: `wt82_71` (Respondent weight change between 1971 and 1982 in kilograms) + +**Confounders**: + +- Demographics + - `age`: age + - `sex`: sex + - `race`: race + - `education`: education +- Health + - `wt71`: baseline weight in 1971 + - `active`: daily activity level + - `exercise`: exercise +- Smoking history + - `smokeintensity`: smoking intensity + - `smokeyrs`: years of smoking + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +# TODO: Make a density plot of wt82_71 that is filled by factor(qsmk) (so that +# the 0/1 is treated as a categorical variable) +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average weight gain among +# smokers and nonsmokers +``` + +```{r} +# TODO: Use lm() to calculate a naive estimate of the "effect" of quitting +# smoking on weight gain +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=8} +set.seed(1234) + +smk_wt_dag <- dagify( + # Specify causes of quitting smoking and weight gain: + qsmk ~ sex + race + age + education + + smokeintensity + smokeyrs + exercise + active + wt71, + wt82_71 ~ qsmk + sex + race + age + education + + smokeintensity + smokeyrs + exercise + active + wt71, + # Specify causal question: + exposure = "qsmk", + outcome = "wt82_71" +) + +ggdag_status(smk_wt_dag) +``` + +## Treatment model + +```{r} +# TODO: Create a model that predicts quitting smoking (qsmk) based on all the +# confounders. For fun, try accounting for nonlinearities in age, +# smokeintensity, smokeyrs, and wt71 too (hint: include a term like I(age^2) in +# addition to age) +``` + + + +## Propensity scores and weights + +```{r} +# TODO: Plug the original dataset into the model using augment() and generate +# propensity scores for each observation +# +# TODO: Create a new column of inverse probability weights using this formula: +# +# (treatment / propensity) + ((1 - treatment) / (1 - propensity)) +# +# It should look something like this: +# mutate(ipw = (qsmk / propensity) + ((1 - qsmk) / (1 - propensity))) +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +# Visualize the distribution of weights. +``` + +```{r} +# Calculate the average of your weights. It should be around 1 +``` + +## Outcome model + +```{r} +# TODO: Use lm() to estimate the effect of quitting smoking (qsmk) on weight +# gain (wt82_71) and incorporate the inverse probability weights. How much +# weight gain does quitting smoking *cause*? +# +# TODO: Is this effect significant? Interpret the confidence interval. +``` + +```{r} +# TODO: For bonus fun and games, run a Bayesian outcome model with the brms +# package so that you can talk about credible intervals. Specifying weights with +# brms is a little different than with lm(). There's no weights argument. +# Instead, you have to include the weights in the formula like this: +# +# brm(bf(outcome | weights(ipw) ~ treatment), +# data = whatever) +``` diff --git a/docs/_site/projects/rcts-ipw/rct_oregon.Rmd b/docs/_site/projects/rcts-ipw/rct_oregon.Rmd new file mode 100644 index 00000000..3df61bf0 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/rct_oregon.Rmd @@ -0,0 +1,57 @@ +--- +title: "RCT: Medicaid and medical debt" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does receiving Medicaid reduce medical debt? + +In 2008, in response to the ACA's mandate that states expand Medicaid eligibility, Oregon used a lottery to randomly assign people to receive Medicaid ([see here](https://www.nber.org/programs-projects/projects-and-centers/oregon-health-insurance-experiment) for more details). Researchers tracked (and continue to track) a whole host of health and financial outcomes as a result of receiving access to Medicaid. + +You're going to investigate the effect of Medicaid on one outcome: + +![Excerpt from Oregon Medicaid study codebook](img/oregon-medicaid.jpg) + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# TODO: Use read_csv() to load data/oregon.csv +``` + + +## Clean data + +There are two categorical columns in this dataset. It will make it easier to calculate differences in proportions if we have numeric versions of the columns too. Use `mutate()` and `case_when()` (look at the dplyr cheatsheet) to add two new columns: + +- `treatment_num`: 0 if not treated, 1 if treated +- `outcome_num`: 0 if the person doesn't owe money, 1 if the person does owe money + +```{r} +# TODO: Add two new columns with numeric versions of treatment and outcome +``` + + +## Find the difference in outcome caused by treatment + +```{r} +# TODO: Use group_by() and summarize() (or just count()) to calculate the number +# of people in the treatment and control groups who do and don't have medical +# debt. Is there a difference? +``` + +```{r} +# TODO: Use lm() to calculate the exact difference in the proportion of people +# with medical debt across the treatment and control groups. Is the difference +# significant? +``` + +```{r} +# TODO: For bonus fun, try to visualize the difference in proportions +``` diff --git a/docs/_site/projects/rcts-ipw/rct_vaccine-payments.Rmd b/docs/_site/projects/rcts-ipw/rct_vaccine-payments.Rmd new file mode 100644 index 00000000..59649205 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/rct_vaccine-payments.Rmd @@ -0,0 +1,123 @@ +--- +title: "RCT: Vaccine payments" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does paying people cause people to get vaccinated against COVID-19? + +An RCT in Sweden found that giving people 200 Swedish kroner (≈$24 USD) increased vaccination rates by 4.2 percentage points. ([See here](https://www.science.org/doi/full/10.1126/science.abm0475) for full details.) + +We're going to re-analyze their data. + + +## Load and clean data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(haven) # For reading Stata files + +vaccines_raw <- read_stata("data/vaccines.dta") +``` + +```{r} +print_labels(vaccines_raw$treatment) +``` + +```{r} +# Clean up treatment variable and check treatment assignment +``` + + +```{r} +# group_by + summarize to see averages of vaccinated and intention1 +``` + + +```{r} +# Basic model with lm +``` + + +```{r} +# Cleaner data +# vaccines_clean <- vaccines_raw %>% +# mutate(across(c(female, age_band, region, covid1_2, civilstatus, +# haschildren, education, occupation, +# mother, father, income), +# factor)) %>% +# filter(already_vacced == 0, !is.na(intention1)) +``` + + +```{r} +model_vacc <- lm(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc) +``` + +```{r} +model_intent <- lm(intention1 ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent) +``` + +```{r} +model_vacc_nudge <- lm(vaccinated ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc_nudge) + +model_intent_nudge <- lm(intention1 ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent_nudge) +``` + +```{r} +plot_stuff <- bind_rows(Uptake_Payment = tidy(model_vacc, conf.int = TRUE), + Intentions_Payment = tidy(model_intent, conf.int = TRUE), + Uptake_Nudges = tidy(model_vacc_nudge, conf.int = TRUE), + Intentions_Nudges = tidy(model_intent_nudge, conf.int = TRUE), + .id = "outcome") %>% + separate(outcome, into = c("outcome", "condition")) + +plot_filtered <- plot_stuff %>% + filter((condition == "Payment" & str_detect(term, "treat_")) | + (condition == "Nudges" & term == "nudge")) %>% + mutate(term = factor(term, levels = c("treat_pay", "nudge", "treat_soc", + "treat_arg", "treat_info", "treat_min"))) + + +ggplot(plot_filtered, aes(x = estimate, y = fct_rev(term), color = outcome)) + + geom_vline(xintercept = 0) + + geom_pointrange(aes(xmin = conf.low, xmax = conf.high), + position = position_dodge(width = 0.25)) +``` + +## Nicer way with `feols()` + +```{r} +# fixest::feols() with robust SEs +``` diff --git a/docs/_site/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd b/docs/_site/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd new file mode 100644 index 00000000..103f7a06 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd @@ -0,0 +1,171 @@ +--- +title: "RCT: Vaccine payments" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does paying people cause people to get vaccinated against COVID-19? + +An RCT in Sweden found that giving people 200 Swedish kroner (≈$24 USD) increased vaccination rates by 4.2 percentage points. ([See here](https://www.science.org/doi/full/10.1126/science.abm0475) for full details.) + +We're going to re-analyze their data. + + +## Load and clean data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(haven) # For reading Stata files + +vaccines_raw <- read_stata("data/vaccines.dta") +``` + +```{r} +print_labels(vaccines_raw$treatment) +``` + +```{r} +vaccines_trt_ctrl <- vaccines_raw %>% + filter(treatment %in% c(0, 5)) %>% + mutate(treatment_nice = case_when( + treatment == 0 ~ "Received payment", + treatment == 5 ~ "Control group" + )) + +vaccines_trt_ctrl %>% + count(treatment_nice) +``` + + +```{r} +vaccines_trt_ctrl %>% + group_by(treatment_nice) %>% + summarize(vaccination = mean(vaccinated), + intention = mean(intention1)) +``` + + +```{r} +lm(vaccinated ~ treatment_nice, data = vaccines_trt_ctrl) %>% tidy() +``` + + +```{r} +vaccines_clean <- vaccines_raw %>% + mutate(across(c(female, age_band, region, covid1_2, civilstatus, + haschildren, education, occupation, + mother, father, income), + factor)) %>% + filter(already_vacced == 0, !is.na(intention1)) +``` + + +```{r} +model_vacc <- lm(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc) +``` + +```{r} +model_intent <- lm(intention1 ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent) +``` + +```{r} +model_vacc_nudge <- lm(vaccinated ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc_nudge) + +model_intent_nudge <- lm(intention1 ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent_nudge) +``` + +```{r} +plot_stuff <- bind_rows(Uptake_Payment = tidy(model_vacc, conf.int = TRUE), + Intentions_Payment = tidy(model_intent, conf.int = TRUE), + Uptake_Nudges = tidy(model_vacc_nudge, conf.int = TRUE), + Intentions_Nudges = tidy(model_intent_nudge, conf.int = TRUE), + .id = "outcome") %>% + separate(outcome, into = c("outcome", "condition")) + +plot_filtered <- plot_stuff %>% + filter((condition == "Payment" & str_detect(term, "treat_")) | + (condition == "Nudges" & term == "nudge")) %>% + mutate(term = factor(term, levels = c("treat_pay", "nudge", "treat_soc", + "treat_arg", "treat_info", "treat_min"))) + + +ggplot(plot_filtered, aes(x = estimate, y = fct_rev(term), color = outcome)) + + geom_vline(xintercept = 0) + + geom_pointrange(aes(xmin = conf.low, xmax = conf.high), + position = position_dodge(width = 0.25)) +``` + +## Nicer way with `feols()` + +```{r} +library(fixest) + +example_model <- feols(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min | + female + age_band^region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean, + vcov = "hetero") + +tidy(example_model) +``` + +# Bayesian stuff + +```{r warning=FALSE, message=FALSE, results="hide"} +library(brms) +library(tidybayes) + +model_bayes <- brm( + bf(vaccinated ~ treat_pay + treat_soc + treat_arg + treat_info + treat_min + + female + covid1_2 + civilstatus + haschildren), + data = vaccines_clean, + cores = 4 +) +``` + +```{r} +get_variables(model_bayes) + +model_draws <- model_bayes %>% + gather_draws(c(b_treat_pay, b_treat_min)) + +ggplot(model_draws, aes(x = .value, y = .variable)) + + stat_halfeye() + +model_draws %>% + filter(.variable == "b_treat_pay") %>% + summarize(prop_gt_0 = sum(.value > 0) / n()) +``` diff --git a/docs/_site/projects/rcts-ipw/rcts-ipw.Rproj b/docs/_site/projects/rcts-ipw/rcts-ipw.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/rcts-ipw/rcts-ipw.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/example/regression.qmd b/docs/_site/projects/regression-example/complete-regression-example.Rmd similarity index 83% rename from example/regression.qmd rename to docs/_site/projects/regression-example/complete-regression-example.Rmd index 1bbefe07..e4d4936c 100644 --- a/example/regression.qmd +++ b/docs/_site/projects/regression-example/complete-regression-example.Rmd @@ -1,35 +1,11 @@ --- -title: "Regression" +title: "SAT scores and college GPA" +output: + html_document: + toc: yes --- -If you want to follow along with this example, you can download the data below: - -- [{{< fa table >}} `sat_gpa.csv`](/files/data/external_data/sat_gpa.csv) - -You can also download a complete `.zip` file with a finished R Markdown file that you can knit and play with on your own: - -- [{{< fa file-archive >}} `regression-example.zip`](/projects/regression-example.zip) - - -## Live coding example - -
- -
- - -## Complete code - -*(This is a heavily cleaned up and annotated version of the code from the video.)* - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, fig.align = "center", - fig.retina = 3, collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -``` - -### Introduction +# Introduction SAT scores have long been a major factor in college admissions, under the assumption that students with higher test scores will perform better in college and receive a higher GPA. The SAT's popularity [has dropped in recent years](https://www.washingtonpost.com/news/answer-sheet/wp/2017/04/12/the-list-of-test-optional-colleges-and-universities-keeps-growing-despite-college-boards-latest-jab/), though, and this summer, the [University of Chicago announced that it would stop requiring SAT scores for all prospective undergraduates](http://www.chicagotribune.com/news/local/breaking/ct-university-chicago-sat-act-20180614-story.html). @@ -37,7 +13,7 @@ Educational Testing Service (ETS), the creator of the SAT, collected SAT scores, [^note]: This is real data about real students, [compiled and cleaned by a professor at Dartmouth.](https://www.dartmouth.edu/~chance/course/Syllabi/Princeton96/Class12.html) -You are a university admissions officer and you are curious if SAT scores really do predict college performance. You're also interested in other factors that could influence student performance. +You are a university admissions officer and you are curious if SAT scores really do predict college performance. You're also interested in other factors that could influence student performance. The data contains 6 variables: @@ -53,22 +29,16 @@ The data contains 6 variables: library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. library(broom) # This lets you convert regression models into nice tables library(modelsummary) # This lets you combine multiple regression models into a single table -``` -```{r load-data-fake, eval=FALSE} -# Load the data. +# Load the data. # It'd be a good idea to click on the "sat_gpa" object in the Environment panel # in RStudio to see what the data looks like after you load it. sat_gpa <- read_csv("data/sat_gpa.csv") ``` -```{r load-data-real, include=FALSE} -sat_gpa <- read_csv(here::here("files", "data", "external_data", "sat_gpa.csv")) -``` - -### Exploratory questions +# Exploratory questions -#### How well do SAT scores correlate with freshman GPA? +## How well do SAT scores correlate with freshman GPA? ```{r sat-gpa-correlation} # Note the syntax here with the $. That lets you access columns. The general @@ -76,35 +46,50 @@ sat_gpa <- read_csv(here::here("files", "data", "external_data", "sat_gpa.csv")) cor(sat_gpa$gpa_fy, sat_gpa$sat_total) ``` -SAT scores and first-year college GPA are moderately positively correlated (r = 0.46). As one goes up, the other also tends to go up. +SAT scores and first-year college GPA are moderately positively correlated (r = 0.46). As one goes up, the other also tends to go up. Here's what that relationship looks like: -```{r plot-sat-gpa-correlation, message=FALSE} +```{r plot-sat-gpa-correlation, fig.width=6, fig.height=4, fig.align='center'} +# Notice that I set a bunch of extra chunk options here, like fig.width and +# fig.height. You can do this by clicking on the little gear icon in the top +# right corner of chunks. ggplot(sat_gpa, aes(x = sat_total, y = gpa_fy)) + geom_point(size = 0.5) + geom_smooth(method = "lm", se = FALSE) + labs(x = "Total SAT score", y = "Freshman GPA") ``` -#### How well does high school GPA correlate with freshman GPA? +## How well does high school GPA correlate with freshman GPA? ```{r hs-gpa-correlation} -cor(sat_gpa$gpa_fy, sat_gpa$gpa_hs) +# We'll calculate another correlation, but we'll do something a little different +# this time. Notice how above, we calculated the correlation but then had to +# write the number manually in the text ("SAT scores and first-year college GPA +# are moderately positively correlated (r = 0.46)."). We don't need to manually +# type that 0.46. Instead, we can save it as a variable and use it later: +hs_gpa_cor <- cor(sat_gpa$gpa_fy, sat_gpa$gpa_hs) + +# After you run this, you won't see anything (except in the Environment panel in +# RStudio). If you want to see it, run the name of the object: +hs_gpa_cor + +# You can use this number in regular text with a special kind of syntax, +# essentially making an inline chunk of R code: `r put_r_code_here` ``` -High school and freshman GPAs are also moderately correlated (r = 0.54), but with a slightly stronger relationship. +High school and freshman GPAs are also moderately correlated (r = `r round(hs_gpa_cor, 2)`), but with a slightly stronger relationship. Here's what that relationship looks like: -```{r plot-hs-gpa-correlation, message=FALSE} +```{r plot-hs-gpa-correlation, message=FALSE, fig.width=6, fig.height=4, fig.align='center'} ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy)) + geom_point(size = 0.5) + geom_smooth(method = "lm", se = FALSE) + - labs(x = "High school GPA", y = "Freshman GPA") + labs(x = "High school GPA", y = "Freshman GPA") ``` -#### Is the correlation between SAT scores and freshman GPA stronger for men or for women? +## Is the correlation between SAT scores and freshman GPA stronger for men or for women? ```{r sat-gpa-correlation-sex} # We can calculate the correlation for subgroups within the data with slightly @@ -112,8 +97,8 @@ ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy)) + # like English. We can say "Take the sat_gpa data set, split it into groups # based on sex, and calculate the correlation between sat_total and gpa_fy in # each of the groups -sat_gpa %>% - group_by(sex) %>% +sat_gpa %>% + group_by(sex) %>% summarize(correlation = cor(sat_total, gpa_fy)) ``` @@ -121,7 +106,7 @@ We can calculate the correlation between SAT scores and freshman GPA for both se This is apparent visually if we include a trendline for each sex. The lines are essentially parallel: -```{r plot-sat-gpa-correlation-sex, message=FALSE} +```{r plot-sat-gpa-correlation-sex, message=FALSE, fig.width=6, fig.height=4, fig.align='center'} # The only difference between this graph and the earlier two is that it is # coloring by sex ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy, color = sex)) + @@ -130,19 +115,19 @@ ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy, color = sex)) + labs(x = "High school GPA", y = "Freshman GPA") ``` -#### Is the correlation between high school GPA and freshman GPA stronger for men or for women? +## Is the correlation between high school GPA and freshman GPA stronger for men or for women? ```{r hs-gpa-correlation-sex} -sat_gpa %>% - group_by(sex) %>% +sat_gpa %>% + group_by(sex) %>% summarize(correlation = cor(gpa_hs, gpa_fy)) ``` There is a noticeable difference between men and women in the correlation between high school and college GPA. For men, the two are moderately correlated (r = 0.48), while for women the relationship is much stronger (r = 0.60). High school grades might be a better predictor of college grades for women than for men. -### Models +# Models -#### Do SAT scores predict freshman GPAs? +## Do SAT scores predict freshman GPAs? We can build a model that predicts college GPAs (our outcome variable, or dependent variable) using SAT scores (our main explanatory variable): @@ -170,7 +155,7 @@ glance(model_sat_gpa) The $R^2$ here is 0.212, which means that SAT scores explain 21% of the variation in freshman GPA. It's not a fantastic model, but it explains some stuff. -#### Does a certain type of SAT score have a larger effect on freshman GPAs? +## Does a certain type of SAT score have a larger effect on freshman GPAs? The `sat_total` variable combines both `sat_math` and `sat_verbal`. We can disaggregate the total score to see the effect of each portion of the test on freshman GPA, using the following model: @@ -192,7 +177,7 @@ The adjusted $R^2$ (which we need to look at because we're using more than one e glance(model_sat_gpa_types) ``` -#### Do high school GPAs predict freshman GPAs? +## Do high school GPAs predict freshman GPAs? We can also use high school GPA to predict freshman GPA, using the following model: @@ -214,7 +199,7 @@ The $R^2$ value is 0.295, which means that nearly 30% of the variation in colleg glance(model_sat_gpa_hs) ``` -#### College GPA ~ SAT + sex +## College GPA ~ SAT + sex Next, we can see how both SAT scores and sex affect variation in college GPA with the following model: @@ -228,7 +213,7 @@ model_sat_sex <- lm(gpa_fy ~ sat_total + sex, data = sat_gpa) tidy(model_sat_sex, conf.int = TRUE) ``` -Here, stuff gets interesting. The intercept ($\beta_0$) is once again nonsensical—females with a 0 score on their SAT would have a -0.027 college GPA on average. There's a positive effect with our $\beta_1$ (or `sat_total`), since controlling for sex, a one percentile point increase in SAT scores is associated with a 0.026 point increase in freshman GPA, on average. If we control for SAT scores, males see an average drop of 0.274 points ($\beta_2$) in their college GPAs. +Here, stuff gets interesting. The intercept ($\beta_0$) is once again nonsensical—females with a 0 score on their SAT would have a -0.027 college GPA on average. There's a positive effect with our $\beta_1$ (or `sat_total`), since controlling for sex, a one percentile point increase in SAT scores is associated with a 0.026 point increase in freshman GPA, on average. If we control for SAT scores, males see an average drop of 0.274 points ($\beta_2$) in their college GPAs. The combination of these two variables, however, doesn't boost the model's explanatory power that much. The adjusted $R^2$ (which we must look at because we're using more than one explanatory variable) is 0.243, meaning that the model explains a little over 24% of the variation in college GPAs. @@ -236,7 +221,7 @@ The combination of these two variables, however, doesn't boost the model's expla glance(model_sat_sex) ``` -#### College GPA ~ SAT + high school GPA + sex +## College GPA ~ SAT + high school GPA + sex Finally we can see what the effect of SAT scores, high school GPA, and sex is on college GPAs all at the same time, using the following model: @@ -263,7 +248,7 @@ As always, the adjusted $R^2$ shows us how well the model fits overall (again, w glance(model_sat_hs_sex) ``` -#### Which model best predicts freshman GPA? How do you know? +## Which model best predicts freshman GPA? How do you know? As you've learned in previous stats classes, adjusted $R^2$ generally shows the strength of a model's fit, or how well the model will predict future values of the outcome variable. If we compare the adjusted $R^2$ for each of the models, we see that the "best" model is the last one. @@ -271,6 +256,6 @@ As you've learned in previous stats classes, adjusted $R^2$ generally shows the # The modelsummary() function takes a bunch of different regression models and # puts them in a neat side-by-side table. In a normal report or analysis, you'd # include all of these once instead of going one by one like we did above. -modelsummary(list(model_sat_gpa, model_sat_gpa_types, model_sat_gpa_hs, +modelsummary(list(model_sat_gpa, model_sat_gpa_types, model_sat_gpa_hs, model_sat_sex, model_sat_hs_sex)) ``` diff --git a/docs/_site/projects/regression-example/data/gapminder.csv b/docs/_site/projects/regression-example/data/gapminder.csv new file mode 100644 index 00000000..7e643799 --- /dev/null +++ b/docs/_site/projects/regression-example/data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 +Algeria,Africa,1977,58.014,17152804,4910.416756 +Algeria,Africa,1982,61.368,20033753,5745.160213 +Algeria,Africa,1987,65.799,23254956,5681.358539 +Algeria,Africa,1992,67.744,26298373,5023.216647 +Algeria,Africa,1997,69.152,29072015,4797.295051 +Algeria,Africa,2002,70.994,31287142,5288.040382 +Algeria,Africa,2007,72.301,33333216,6223.367465 +Angola,Africa,1952,30.015,4232095,3520.610273 +Angola,Africa,1957,31.999,4561361,3827.940465 +Angola,Africa,1962,34,4826015,4269.276742 +Angola,Africa,1967,35.985,5247469,5522.776375 +Angola,Africa,1972,37.928,5894858,5473.288005 +Angola,Africa,1977,39.483,6162675,3008.647355 +Angola,Africa,1982,39.942,7016384,2756.953672 +Angola,Africa,1987,39.906,7874230,2430.208311 +Angola,Africa,1992,40.647,8735988,2627.845685 +Angola,Africa,1997,40.963,9875024,2277.140884 +Angola,Africa,2002,41.003,10866106,2773.287312 +Angola,Africa,2007,42.731,12420476,4797.231267 +Argentina,Americas,1952,62.485,17876956,5911.315053 +Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 +Australia,Oceania,1992,77.56,17481977,23424.76683 +Australia,Oceania,1997,78.83,18565243,26997.93657 +Australia,Oceania,2002,80.37,19546792,30687.75473 +Australia,Oceania,2007,81.235,20434176,34435.36744 +Austria,Europe,1952,66.8,6927772,6137.076492 +Austria,Europe,1957,67.48,6965860,8842.59803 +Austria,Europe,1962,69.54,7129864,10750.72111 +Austria,Europe,1967,70.14,7376998,12834.6024 +Austria,Europe,1972,70.63,7544201,16661.6256 +Austria,Europe,1977,72.17,7568430,19749.4223 +Austria,Europe,1982,73.18,7574613,21597.08362 +Austria,Europe,1987,74.94,7578903,23687.82607 +Austria,Europe,1992,76.04,7914969,27042.01868 +Austria,Europe,1997,77.51,8069876,29095.92066 +Austria,Europe,2002,78.98,8148312,32417.60769 +Austria,Europe,2007,79.829,8199783,36126.4927 +Bahrain,Asia,1952,50.939,120447,9867.084765 +Bahrain,Asia,1957,53.832,138655,11635.79945 +Bahrain,Asia,1962,56.923,171863,12753.27514 +Bahrain,Asia,1967,59.923,202182,14804.6727 +Bahrain,Asia,1972,63.3,230800,18268.65839 +Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 +Belgium,Europe,1957,69.24,8989111,9714.960623 +Belgium,Europe,1962,70.25,9218400,10991.20676 +Belgium,Europe,1967,70.94,9556500,13149.04119 +Belgium,Europe,1972,71.44,9709100,16672.14356 +Belgium,Europe,1977,72.8,9821800,19117.97448 +Belgium,Europe,1982,73.93,9856303,20979.84589 +Belgium,Europe,1987,75.35,9870200,22525.56308 +Belgium,Europe,1992,76.46,10045622,25575.57069 +Belgium,Europe,1997,77.53,10199787,27561.19663 +Belgium,Europe,2002,78.32,10311970,30485.88375 +Belgium,Europe,2007,79.441,10392226,33692.60508 +Benin,Africa,1952,38.223,1738315,1062.7522 +Benin,Africa,1957,40.358,1925173,959.6010805 +Benin,Africa,1962,42.618,2151895,949.4990641 +Benin,Africa,1967,44.885,2427334,1035.831411 +Benin,Africa,1972,47.014,2761407,1085.796879 +Benin,Africa,1977,49.19,3168267,1029.161251 +Benin,Africa,1982,50.904,3641603,1277.897616 +Benin,Africa,1987,52.337,4243788,1225.85601 +Benin,Africa,1992,53.919,4981671,1191.207681 +Benin,Africa,1997,54.777,6066080,1232.975292 +Benin,Africa,2002,54.406,7026113,1372.877931 +Benin,Africa,2007,56.728,8078314,1441.284873 +Bolivia,Americas,1952,40.414,2883315,2677.326347 +Bolivia,Americas,1957,41.89,3211738,2127.686326 +Bolivia,Americas,1962,43.428,3593918,2180.972546 +Bolivia,Americas,1967,45.032,4040665,2586.886053 +Bolivia,Americas,1972,46.714,4565872,2980.331339 +Bolivia,Americas,1977,50.023,5079716,3548.097832 +Bolivia,Americas,1982,53.859,5642224,3156.510452 +Bolivia,Americas,1987,57.251,6156369,2753.69149 +Bolivia,Americas,1992,59.957,6893451,2961.699694 +Bolivia,Americas,1997,62.05,7693188,3326.143191 +Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 +Botswana,Africa,1952,47.622,442308,851.2411407 +Botswana,Africa,1957,49.618,474639,918.2325349 +Botswana,Africa,1962,51.52,512764,983.6539764 +Botswana,Africa,1967,53.298,553541,1214.709294 +Botswana,Africa,1972,56.024,619351,2263.611114 +Botswana,Africa,1977,59.319,781472,3214.857818 +Botswana,Africa,1982,61.484,970347,4551.14215 +Botswana,Africa,1987,63.622,1151184,6205.88385 +Botswana,Africa,1992,62.745,1342614,7954.111645 +Botswana,Africa,1997,52.556,1536536,8647.142313 +Botswana,Africa,2002,46.634,1630347,11003.60508 +Botswana,Africa,2007,50.728,1639131,12569.85177 +Brazil,Americas,1952,50.917,56602560,2108.944355 +Brazil,Americas,1957,53.285,65551171,2487.365989 +Brazil,Americas,1962,55.665,76039390,3336.585802 +Brazil,Americas,1967,57.632,88049823,3429.864357 +Brazil,Americas,1972,59.504,100840058,4985.711467 +Brazil,Americas,1977,61.489,114313951,6660.118654 +Brazil,Americas,1982,63.336,128962939,7030.835878 +Brazil,Americas,1987,65.205,142938076,7807.095818 +Brazil,Americas,1992,67.057,155975974,6950.283021 +Brazil,Americas,1997,69.388,168546719,7957.980824 +Brazil,Americas,2002,71.006,179914212,8131.212843 +Brazil,Americas,2007,72.39,190010647,9065.800825 +Bulgaria,Europe,1952,59.6,7274900,2444.286648 +Bulgaria,Europe,1957,66.61,7651254,3008.670727 +Bulgaria,Europe,1962,69.51,8012946,4254.337839 +Bulgaria,Europe,1967,70.42,8310226,5577.0028 +Bulgaria,Europe,1972,70.9,8576200,6597.494398 +Bulgaria,Europe,1977,70.81,8797022,7612.240438 +Bulgaria,Europe,1982,71.08,8892098,8224.191647 +Bulgaria,Europe,1987,71.34,8971958,8239.854824 +Bulgaria,Europe,1992,71.19,8658506,6302.623438 +Bulgaria,Europe,1997,70.32,8066057,5970.38876 +Bulgaria,Europe,2002,72.14,7661799,7696.777725 +Bulgaria,Europe,2007,73.005,7322858,10680.79282 +Burkina Faso,Africa,1952,31.975,4469979,543.2552413 +Burkina Faso,Africa,1957,34.906,4713416,617.1834648 +Burkina Faso,Africa,1962,37.814,4919632,722.5120206 +Burkina Faso,Africa,1967,40.697,5127935,794.8265597 +Burkina Faso,Africa,1972,43.591,5433886,854.7359763 +Burkina Faso,Africa,1977,46.137,5889574,743.3870368 +Burkina Faso,Africa,1982,48.122,6634596,807.1985855 +Burkina Faso,Africa,1987,49.557,7586551,912.0631417 +Burkina Faso,Africa,1992,50.26,8878303,931.7527731 +Burkina Faso,Africa,1997,50.324,10352843,946.2949618 +Burkina Faso,Africa,2002,50.65,12251209,1037.645221 +Burkina Faso,Africa,2007,52.295,14326203,1217.032994 +Burundi,Africa,1952,39.031,2445618,339.2964587 +Burundi,Africa,1957,40.533,2667518,379.5646281 +Burundi,Africa,1962,42.045,2961915,355.2032273 +Burundi,Africa,1967,43.548,3330989,412.9775136 +Burundi,Africa,1972,44.057,3529983,464.0995039 +Burundi,Africa,1977,45.91,3834415,556.1032651 +Burundi,Africa,1982,47.471,4580410,559.603231 +Burundi,Africa,1987,48.211,5126023,621.8188189 +Burundi,Africa,1992,44.736,5809236,631.6998778 +Burundi,Africa,1997,45.326,6121610,463.1151478 +Burundi,Africa,2002,47.36,7021078,446.4035126 +Burundi,Africa,2007,49.58,8390505,430.0706916 +Cambodia,Asia,1952,39.417,4693836,368.4692856 +Cambodia,Asia,1957,41.366,5322536,434.0383364 +Cambodia,Asia,1962,43.415,6083619,496.9136476 +Cambodia,Asia,1967,45.415,6960067,523.4323142 +Cambodia,Asia,1972,40.317,7450606,421.6240257 +Cambodia,Asia,1977,31.22,6978607,524.9721832 +Cambodia,Asia,1982,50.957,7272485,624.4754784 +Cambodia,Asia,1987,53.914,8371791,683.8955732 +Cambodia,Asia,1992,55.803,10150094,682.3031755 +Cambodia,Asia,1997,56.534,11782962,734.28517 +Cambodia,Asia,2002,56.752,12926707,896.2260153 +Cambodia,Asia,2007,59.723,14131858,1713.778686 +Cameroon,Africa,1952,38.523,5009067,1172.667655 +Cameroon,Africa,1957,40.428,5359923,1313.048099 +Cameroon,Africa,1962,42.643,5793633,1399.607441 +Cameroon,Africa,1967,44.799,6335506,1508.453148 +Cameroon,Africa,1972,47.049,7021028,1684.146528 +Cameroon,Africa,1977,49.355,7959865,1783.432873 +Cameroon,Africa,1982,52.961,9250831,2367.983282 +Cameroon,Africa,1987,54.985,10780667,2602.664206 +Cameroon,Africa,1992,54.314,12467171,1793.163278 +Cameroon,Africa,1997,52.199,14195809,1694.337469 +Cameroon,Africa,2002,49.856,15929988,1934.011449 +Cameroon,Africa,2007,50.43,17696293,2042.09524 +Canada,Americas,1952,68.75,14785584,11367.16112 +Canada,Americas,1957,69.96,17010154,12489.95006 +Canada,Americas,1962,71.3,18985849,13462.48555 +Canada,Americas,1967,72.13,20819767,16076.58803 +Canada,Americas,1972,72.88,22284500,18970.57086 +Canada,Americas,1977,74.21,23796400,22090.88306 +Canada,Americas,1982,75.76,25201900,22898.79214 +Canada,Americas,1987,76.86,26549700,26626.51503 +Canada,Americas,1992,77.95,28523502,26342.88426 +Canada,Americas,1997,78.61,30305843,28954.92589 +Canada,Americas,2002,79.77,31902268,33328.96507 +Canada,Americas,2007,80.653,33390141,36319.23501 +Central African Republic,Africa,1952,35.463,1291695,1071.310713 +Central African Republic,Africa,1957,37.464,1392284,1190.844328 +Central African Republic,Africa,1962,39.475,1523478,1193.068753 +Central African Republic,Africa,1967,41.478,1733638,1136.056615 +Central African Republic,Africa,1972,43.457,1927260,1070.013275 +Central African Republic,Africa,1977,46.775,2167533,1109.374338 +Central African Republic,Africa,1982,48.295,2476971,956.7529907 +Central African Republic,Africa,1987,50.485,2840009,844.8763504 +Central African Republic,Africa,1992,49.396,3265124,747.9055252 +Central African Republic,Africa,1997,46.066,3696513,740.5063317 +Central African Republic,Africa,2002,43.308,4048013,738.6906068 +Central African Republic,Africa,2007,44.741,4369038,706.016537 +Chad,Africa,1952,38.092,2682462,1178.665927 +Chad,Africa,1957,39.881,2894855,1308.495577 +Chad,Africa,1962,41.716,3150417,1389.817618 +Chad,Africa,1967,43.601,3495967,1196.810565 +Chad,Africa,1972,45.569,3899068,1104.103987 +Chad,Africa,1977,47.383,4388260,1133.98495 +Chad,Africa,1982,49.517,4875118,797.9081006 +Chad,Africa,1987,51.051,5498955,952.386129 +Chad,Africa,1992,51.724,6429417,1058.0643 +Chad,Africa,1997,51.573,7562011,1004.961353 +Chad,Africa,2002,50.525,8835739,1156.18186 +Chad,Africa,2007,50.651,10238807,1704.063724 +Chile,Americas,1952,54.745,6377619,3939.978789 +Chile,Americas,1957,56.074,7048426,4315.622723 +Chile,Americas,1962,57.924,7961258,4519.094331 +Chile,Americas,1967,60.523,8858908,5106.654313 +Chile,Americas,1972,63.441,9717524,5494.024437 +Chile,Americas,1977,67.052,10599793,4756.763836 +Chile,Americas,1982,70.565,11487112,5095.665738 +Chile,Americas,1987,72.492,12463354,5547.063754 +Chile,Americas,1992,74.126,13572994,7596.125964 +Chile,Americas,1997,75.816,14599929,10118.05318 +Chile,Americas,2002,77.86,15497046,10778.78385 +Chile,Americas,2007,78.553,16284741,13171.63885 +China,Asia,1952,44,556263527,400.448611 +China,Asia,1957,50.54896,637408000,575.9870009 +China,Asia,1962,44.50136,665770000,487.6740183 +China,Asia,1967,58.38112,754550000,612.7056934 +China,Asia,1972,63.11888,862030000,676.9000921 +China,Asia,1977,63.96736,943455000,741.2374699 +China,Asia,1982,65.525,1000281000,962.4213805 +China,Asia,1987,67.274,1084035000,1378.904018 +China,Asia,1992,68.69,1164970000,1655.784158 +China,Asia,1997,70.426,1230075000,2289.234136 +China,Asia,2002,72.028,1280400000,3119.280896 +China,Asia,2007,72.961,1318683096,4959.114854 +Colombia,Americas,1952,50.643,12350771,2144.115096 +Colombia,Americas,1957,55.118,14485993,2323.805581 +Colombia,Americas,1962,57.863,17009885,2492.351109 +Colombia,Americas,1967,59.963,19764027,2678.729839 +Colombia,Americas,1972,61.623,22542890,3264.660041 +Colombia,Americas,1977,63.837,25094412,3815.80787 +Colombia,Americas,1982,66.653,27764644,4397.575659 +Colombia,Americas,1987,67.768,30964245,4903.2191 +Colombia,Americas,1992,68.421,34202721,5444.648617 +Colombia,Americas,1997,70.313,37657830,6117.361746 +Colombia,Americas,2002,71.682,41008227,5755.259962 +Colombia,Americas,2007,72.889,44227550,7006.580419 +Comoros,Africa,1952,40.715,153936,1102.990936 +Comoros,Africa,1957,42.46,170928,1211.148548 +Comoros,Africa,1962,44.467,191689,1406.648278 +Comoros,Africa,1967,46.472,217378,1876.029643 +Comoros,Africa,1972,48.944,250027,1937.577675 +Comoros,Africa,1977,50.939,304739,1172.603047 +Comoros,Africa,1982,52.933,348643,1267.100083 +Comoros,Africa,1987,54.926,395114,1315.980812 +Comoros,Africa,1992,57.939,454429,1246.90737 +Comoros,Africa,1997,60.66,527982,1173.618235 +Comoros,Africa,2002,62.974,614382,1075.811558 +Comoros,Africa,2007,65.152,710960,986.1478792 +"Congo, Dem. Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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+Denmark,Europe,1967,72.96,4838800,15937.21123 +Denmark,Europe,1972,73.47,4991596,18866.20721 +Denmark,Europe,1977,74.69,5088419,20422.9015 +Denmark,Europe,1982,74.63,5117810,21688.04048 +Denmark,Europe,1987,74.8,5127024,25116.17581 +Denmark,Europe,1992,75.33,5171393,26406.73985 +Denmark,Europe,1997,76.11,5283663,29804.34567 +Denmark,Europe,2002,77.18,5374693,32166.50006 +Denmark,Europe,2007,78.332,5468120,35278.41874 +Djibouti,Africa,1952,34.812,63149,2669.529475 +Djibouti,Africa,1957,37.328,71851,2864.969076 +Djibouti,Africa,1962,39.693,89898,3020.989263 +Djibouti,Africa,1967,42.074,127617,3020.050513 +Djibouti,Africa,1972,44.366,178848,3694.212352 +Djibouti,Africa,1977,46.519,228694,3081.761022 +Djibouti,Africa,1982,48.812,305991,2879.468067 +Djibouti,Africa,1987,50.04,311025,2880.102568 +Djibouti,Africa,1992,51.604,384156,2377.156192 +Djibouti,Africa,1997,53.157,417908,1895.016984 +Djibouti,Africa,2002,53.373,447416,1908.260867 +Djibouti,Africa,2007,54.791,496374,2082.481567 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+Ecuador,Americas,1977,61.31,7278866,6679.62326 +Ecuador,Americas,1982,64.342,8365850,7213.791267 +Ecuador,Americas,1987,67.231,9545158,6481.776993 +Ecuador,Americas,1992,69.613,10748394,7103.702595 +Ecuador,Americas,1997,72.312,11911819,7429.455877 +Ecuador,Americas,2002,74.173,12921234,5773.044512 +Ecuador,Americas,2007,74.994,13755680,6873.262326 +Egypt,Africa,1952,41.893,22223309,1418.822445 +Egypt,Africa,1957,44.444,25009741,1458.915272 +Egypt,Africa,1962,46.992,28173309,1693.335853 +Egypt,Africa,1967,49.293,31681188,1814.880728 +Egypt,Africa,1972,51.137,34807417,2024.008147 +Egypt,Africa,1977,53.319,38783863,2785.493582 +Egypt,Africa,1982,56.006,45681811,3503.729636 +Egypt,Africa,1987,59.797,52799062,3885.46071 +Egypt,Africa,1992,63.674,59402198,3794.755195 +Egypt,Africa,1997,67.217,66134291,4173.181797 +Egypt,Africa,2002,69.806,73312559,4754.604414 +Egypt,Africa,2007,71.338,80264543,5581.180998 +El Salvador,Americas,1952,45.262,2042865,3048.3029 +El Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 +Ethiopia,Africa,1967,42.115,27860297,516.1186438 +Ethiopia,Africa,1972,43.515,30770372,566.2439442 +Ethiopia,Africa,1977,44.51,34617799,556.8083834 +Ethiopia,Africa,1982,44.916,38111756,577.8607471 +Ethiopia,Africa,1987,46.684,42999530,573.7413142 +Ethiopia,Africa,1992,48.091,52088559,421.3534653 +Ethiopia,Africa,1997,49.402,59861301,515.8894013 +Ethiopia,Africa,2002,50.725,67946797,530.0535319 +Ethiopia,Africa,2007,52.947,76511887,690.8055759 +Finland,Europe,1952,66.55,4090500,6424.519071 +Finland,Europe,1957,67.49,4324000,7545.415386 +Finland,Europe,1962,68.75,4491443,9371.842561 +Finland,Europe,1967,69.83,4605744,10921.63626 +Finland,Europe,1972,70.87,4639657,14358.8759 +Finland,Europe,1977,72.52,4738902,15605.42283 +Finland,Europe,1982,74.55,4826933,18533.15761 +Finland,Europe,1987,74.83,4931729,21141.01223 +Finland,Europe,1992,75.7,5041039,20647.16499 +Finland,Europe,1997,77.13,5134406,23723.9502 +Finland,Europe,2002,78.37,5193039,28204.59057 +Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 +Germany,Europe,1977,72.5,78160773,20512.92123 +Germany,Europe,1982,73.8,78335266,22031.53274 +Germany,Europe,1987,74.847,77718298,24639.18566 +Germany,Europe,1992,76.07,80597764,26505.30317 +Germany,Europe,1997,77.34,82011073,27788.88416 +Germany,Europe,2002,78.67,82350671,30035.80198 +Germany,Europe,2007,79.406,82400996,32170.37442 +Ghana,Africa,1952,43.149,5581001,911.2989371 +Ghana,Africa,1957,44.779,6391288,1043.561537 +Ghana,Africa,1962,46.452,7355248,1190.041118 +Ghana,Africa,1967,48.072,8490213,1125.69716 +Ghana,Africa,1972,49.875,9354120,1178.223708 +Ghana,Africa,1977,51.756,10538093,993.2239571 +Ghana,Africa,1982,53.744,11400338,876.032569 +Ghana,Africa,1987,55.729,14168101,847.0061135 +Ghana,Africa,1992,57.501,16278738,925.060154 +Ghana,Africa,1997,58.556,18418288,1005.245812 +Ghana,Africa,2002,58.453,20550751,1111.984578 +Ghana,Africa,2007,60.022,22873338,1327.60891 +Greece,Europe,1952,65.86,7733250,3530.690067 +Greece,Europe,1957,67.86,8096218,4916.299889 +Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 +Guatemala,Americas,2002,68.978,11178650,4858.347495 +Guatemala,Americas,2007,70.259,12572928,5186.050003 +Guinea,Africa,1952,33.609,2664249,510.1964923 +Guinea,Africa,1957,34.558,2876726,576.2670245 +Guinea,Africa,1962,35.753,3140003,686.3736739 +Guinea,Africa,1967,37.197,3451418,708.7595409 +Guinea,Africa,1972,38.842,3811387,741.6662307 +Guinea,Africa,1977,40.762,4227026,874.6858643 +Guinea,Africa,1982,42.891,4710497,857.2503577 +Guinea,Africa,1987,45.552,5650262,805.5724718 +Guinea,Africa,1992,48.576,6990574,794.3484384 +Guinea,Africa,1997,51.455,8048834,869.4497668 +Guinea,Africa,2002,53.676,8807818,945.5835837 +Guinea,Africa,2007,56.007,9947814,942.6542111 +Guinea-Bissau,Africa,1952,32.5,580653,299.850319 +Guinea-Bissau,Africa,1957,33.489,601095,431.7904566 +Guinea-Bissau,Africa,1962,34.488,627820,522.0343725 +Guinea-Bissau,Africa,1967,35.492,601287,715.5806402 +Guinea-Bissau,Africa,1972,36.486,625361,820.2245876 +Guinea-Bissau,Africa,1977,37.465,745228,764.7259628 +Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 +Italy,Europe,1982,74.98,56535636,16537.4835 +Italy,Europe,1987,76.42,56729703,19207.23482 +Italy,Europe,1992,77.44,56840847,22013.64486 +Italy,Europe,1997,78.82,57479469,24675.02446 +Italy,Europe,2002,80.24,57926999,27968.09817 +Italy,Europe,2007,80.546,58147733,28569.7197 +Jamaica,Americas,1952,58.53,1426095,2898.530881 +Jamaica,Americas,1957,62.61,1535090,4756.525781 +Jamaica,Americas,1962,65.61,1665128,5246.107524 +Jamaica,Americas,1967,67.51,1861096,6124.703451 +Jamaica,Americas,1972,69,1997616,7433.889293 +Jamaica,Americas,1977,70.11,2156814,6650.195573 +Jamaica,Americas,1982,71.21,2298309,6068.05135 +Jamaica,Americas,1987,71.77,2326606,6351.237495 +Jamaica,Americas,1992,71.766,2378618,7404.923685 +Jamaica,Americas,1997,72.262,2531311,7121.924704 +Jamaica,Americas,2002,72.047,2664659,6994.774861 +Jamaica,Americas,2007,72.567,2780132,7320.880262 +Japan,Asia,1952,63.03,86459025,3216.956347 +Japan,Asia,1957,65.5,91563009,4317.694365 +Japan,Asia,1962,68.73,95831757,6576.649461 +Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 +Kenya,Africa,1957,44.686,7454779,944.4383152 +Kenya,Africa,1962,47.949,8678557,896.9663732 +Kenya,Africa,1967,50.654,10191512,1056.736457 +Kenya,Africa,1972,53.559,12044785,1222.359968 +Kenya,Africa,1977,56.155,14500404,1267.613204 +Kenya,Africa,1982,58.766,17661452,1348.225791 +Kenya,Africa,1987,59.339,21198082,1361.936856 +Kenya,Africa,1992,59.285,25020539,1341.921721 +Kenya,Africa,1997,54.407,28263827,1360.485021 +Kenya,Africa,2002,50.992,31386842,1287.514732 +Kenya,Africa,2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 +Lesotho,Africa,1972,49.767,1116779,496.5815922 +Lesotho,Africa,1977,52.208,1251524,745.3695408 +Lesotho,Africa,1982,55.078,1411807,797.2631074 +Lesotho,Africa,1987,57.18,1599200,773.9932141 +Lesotho,Africa,1992,59.685,1803195,977.4862725 +Lesotho,Africa,1997,55.558,1982823,1186.147994 +Lesotho,Africa,2002,44.593,2046772,1275.184575 +Lesotho,Africa,2007,42.592,2012649,1569.331442 +Liberia,Africa,1952,38.48,863308,575.5729961 +Liberia,Africa,1957,39.486,975950,620.9699901 +Liberia,Africa,1962,40.502,1112796,634.1951625 +Liberia,Africa,1967,41.536,1279406,713.6036483 +Liberia,Africa,1972,42.614,1482628,803.0054535 +Liberia,Africa,1977,43.764,1703617,640.3224383 +Liberia,Africa,1982,44.852,1956875,572.1995694 +Liberia,Africa,1987,46.027,2269414,506.1138573 +Liberia,Africa,1992,40.802,1912974,636.6229191 +Liberia,Africa,1997,42.221,2200725,609.17395079999994 +Liberia,Africa,2002,43.753,2814651,531.4823679 +Liberia,Africa,2007,45.678,3193942,414.5073415 +Libya,Africa,1952,42.723,1019729,2387.54806 +Libya,Africa,1957,45.289,1201578,3448.284395 +Libya,Africa,1962,47.808,1441863,6757.030816 +Libya,Africa,1967,50.227,1759224,18772.75169 +Libya,Africa,1972,52.773,2183877,21011.49721 +Libya,Africa,1977,57.442,2721783,21951.21176 +Libya,Africa,1982,62.155,3344074,17364.27538 +Libya,Africa,1987,66.234,3799845,11770.5898 +Libya,Africa,1992,68.755,4364501,9640.138501 +Libya,Africa,1997,71.555,4759670,9467.446056 +Libya,Africa,2002,72.737,5368585,9534.677467 +Libya,Africa,2007,73.952,6036914,12057.49928 +Madagascar,Africa,1952,36.681,4762912,1443.011715 +Madagascar,Africa,1957,38.865,5181679,1589.20275 +Madagascar,Africa,1962,40.848,5703324,1643.38711 +Madagascar,Africa,1967,42.881,6334556,1634.047282 +Madagascar,Africa,1972,44.851,7082430,1748.562982 +Madagascar,Africa,1977,46.881,8007166,1544.228586 +Madagascar,Africa,1982,48.969,9171477,1302.878658 +Madagascar,Africa,1987,49.35,10568642,1155.441948 +Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 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Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 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Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 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a/docs/_site/projects/regression-example/example_gapminder.Rmd b/docs/_site/projects/regression-example/example_gapminder.Rmd new file mode 100644 index 00000000..0156b6c7 --- /dev/null +++ b/docs/_site/projects/regression-example/example_gapminder.Rmd @@ -0,0 +1,16 @@ +--- +title: "Health and wealth" +--- + +```{r libraries-data} +library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. +library(broom) # This lets you convert regression models into nice tables +library(modelsummary) # This lets you combine multiple regression models into a single table + +gapminder <- read_csv("data/gapminder.csv") + +# TODO: Make a new dataset called gapminder_2007 that: +# 1. Only contains rows for 2007 +# 2. Omits rows from Oceania + +``` diff --git a/docs/_site/projects/regression-example/example_sat-gpa.Rmd b/docs/_site/projects/regression-example/example_sat-gpa.Rmd new file mode 100644 index 00000000..b82b3a69 --- /dev/null +++ b/docs/_site/projects/regression-example/example_sat-gpa.Rmd @@ -0,0 +1,26 @@ +--- +title: "SAT scores and college GPA" +output: + html_document: + toc: yes +--- + +```{r libraries-data} +library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. +library(broom) # This lets you convert regression models into nice tables +library(modelsummary) # This lets you combine multiple regression models into a single table + +sat_gpa <- read_csv("data/sat_gpa.csv") +``` + +# Models + +## Do SAT scores predict freshman GPAs? + +## Does a certain type of SAT score have a larger effect on freshman GPAs? + +## Do high school GPAs predict freshman GPAs? + +## College GPA ~ SAT + sex + +## College GPA ~ SAT + high school GPA + sex diff --git a/docs/_site/projects/regression-example/regression.Rproj b/docs/_site/projects/regression-example/regression.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/regression-example/regression.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/threats-validity/threats-validity.Rproj b/docs/_site/projects/threats-validity/threats-validity.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/threats-validity/threats-validity.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/threats-validity/your-name_threats-to-validity.Rmd b/docs/_site/projects/threats-validity/your-name_threats-to-validity.Rmd new file mode 100644 index 00000000..a4748387 --- /dev/null +++ b/docs/_site/projects/threats-validity/your-name_threats-to-validity.Rmd @@ -0,0 +1,138 @@ +--- +title: "Threats to validity" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +**Feel free to remove any/all of the placeholder text and instructions here!** + +# Conditional cash transfers and education in Mexico + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# *Sesame Street* and school readiness + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# Police deployment and crime in Argentina + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# Early childhood development and migration in Jamaica + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. diff --git a/docs/_site/projects/week-10/data/nc_schools.dta b/docs/_site/projects/week-10/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/_site/projects/week-10/data/nc_schools.dta differ diff --git a/docs/_site/projects/week-10/schools-answers.Rmd b/docs/_site/projects/week-10/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/_site/projects/week-10/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/_site/projects/week-10/schools.Rmd b/docs/_site/projects/week-10/schools.Rmd new file mode 100644 index 00000000..791bca6b --- /dev/null +++ b/docs/_site/projects/week-10/schools.Rmd @@ -0,0 +1,41 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +# Step 3: Check for discontinuity in running variable around cutpoint + +# Step 4: Check for discontinuity in outcome across running variable + +# Step 5: Measure the size of the effect + +## Parametric estimation + +## Nonparametric estimation + +# Step 6: Compare all the effects diff --git a/docs/_site/projects/week-10/week-10-rdd.Rproj b/docs/_site/projects/week-10/week-10-rdd.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/week-10/week-10-rdd.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/week-11/data/Dee04.dta b/docs/_site/projects/week-11/data/Dee04.dta new file mode 100644 index 00000000..9ba7272b Binary files /dev/null and b/docs/_site/projects/week-11/data/Dee04.dta differ diff --git a/docs/_site/projects/week-11/data/nc_schools.dta b/docs/_site/projects/week-11/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/_site/projects/week-11/data/nc_schools.dta differ diff --git a/docs/_site/projects/week-11/education-and-voting.Rmd b/docs/_site/projects/week-11/education-and-voting.Rmd new file mode 100644 index 00000000..01ce01f2 --- /dev/null +++ b/docs/_site/projects/week-11/education-and-voting.Rmd @@ -0,0 +1,180 @@ +--- +title: "Does education increase civic engagement?" +date: '`r format(Sys.time(), "%B %e, %Y")`' +bibliography: references.bib +link-citations: true +--- + +Social scientists have long been interested in the causal effects of education. We've seen a ton of examples of economists looking at the causal effect of education on wages or income. Political scientists, not surprisingly, are less interested in income and more interested in the effect of education on civil behavior. For instance, does education make people vote more? + +For this example, we'll use a subset of data from @Dee:2004 (preprocessed and cleaned by @stevedata) to explore whether college education causes people to register to vote. ([See another version of this at Steve's website](http://post8000.svmiller.com/lab-scripts/instrumental-variables-lab.html#An_Application:_Are_There_Civics_Returns_to_Education)) + +- Treatment = `college`: A binary variable indicating if the person attended a junior, community, or 4-year college by 1984 +- Outcome = `register`: A binary variable indicating if the person is currently registered to vote +- Instrument = `distance`: Miles from respondent's high school to the nearest 2-year college + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(ggdag) +library(estimatr) +library(fixest) +library(modelsummary) + +voting <- read_stata("data/Dee04.dta") +``` + + +## Exploratory data analysis + +What proportion of college attendees are registered to vote? Group by `register` and `college`, summarize to get the number or rows in each group, then add a column that calculates the proportion. + +```{r} +# TODO +``` + +Visualize these proportions with `ggplot()` and `geom_col()` + +```{r} +# TODO +``` + + +## Naive model + +Run a super wrong and naive model that estimates the effect of college attendance on voter registration (`register ~ college`). + +```{r} +# TODO +``` + +For fun, make a scatterplot of this relationship: + +```{r} +# TODO +``` + +TODO: Interpret this finding. Why is this estimate wrong? + + +## Distance to college as an instrument + +We're stuck with endogeneity. There are things that cause both education and voter registration that confound the relationship, and we can't control for all of them. + +In his paper, @Dee:2004 uses distance to the nearest college as an instrument to help remove this exogeneity. He essentially creates this DAG (though without actually making a DAG): + +```{r iv-dag, fig.align="center", fig.width=6, fig.height=4.5, echo=FALSE} +distance_dag <- dagify(outcome ~ treatment + unmeasured, + treatment ~ unmeasured + instrument, + exposure = "treatment", + outcome = "outcome", + latent = "unmeasured", + coords = list(x = c(treatment = 1, outcome = 3, + unmeasured = 2, instrument = 0), + y = c(treatment = 1, outcome = 1, + unmeasured = 2, instrument = 1)), + labels = c(treatment = "College", outcome = "Registration", + unmeasured = "Other stuff", instrument = "Distance")) + +set.seed(1234) +ggdag_status(distance_dag, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + + +At first glance, this feels like it could be a good instrument: + +1. **Relevance** (Z → X *and* cor(Z, X) ≠ 0): Distance to college should be associated with college attendance. The closer a college is, the cheapter it is to attend, and the more opportunity there is to attend. +2. **Excludability** (Z → X → Y *and* Z not → Y *and* cor(Z, Y | X) = 0): Distance affects college attendance which affects voting registration. But distance should influence voting registration *only because* people go to college (and no other reason). +3. **Exogeneity** (U not → Z *and* Cor(Z, U) = 0): Colleges should exist before students exist; students and their voting patterns don't influence whether pre-existing colleges exist (i.e. there should be no arrows going into the instrument node). + +Let's check these conditions + +### Relevance + +See if there's correlation between the instrument (`distance`) and the treatment (`college`). Use the `cor()` function (and `cor.test()` if you want a p-value): + +```{r} +# TODO +``` + +Plot the relationship between the instrument and treatment: + +```{r} +# TODO +``` + +TODO: Is this relevant? + + +### Exclusion + +See if there's a relationship between the instrument (`distance`) and the outcome (`register`). + +```{r} +# TODO +``` + +To help check the "only through" condition, see if there's a relationship between `distance` and other possibly confounding variables (like `black`, `female`, `hispanic`, and so on). If it's related, that's a good sign that there's an arrow between those nodes, thus breaking the exclusion requirement. + +```{r} +# TODO +``` + +TODO: Does this meet the exclusion requirement? + + +### Exogeneity + +There's no statistical test here. Instead we have to tell a theoretical story that distance is uncorrelated with anything else in the DAG. + +TODO: Does this meet the exogeneity requirement? + + +## IV estimation + +Let's pretend that this is a good instrument, regardless of whatever we concluded above. + +### By hand, to make your life miserable + +Make a first stage model that predicts college attendance based on distance to college. Control for `black`, `hispanic`, and `female`, since they're potential confounders (and because Dee originally did that too). + +```{r} +# TODO +``` + +Plug the original dataset into the first stage model with `augment_columns()` to generate predicted values of `college` (or the exogenous part of `college`): + +```{r} +# TODO +``` + +Make a second stage model that estimates the effect of *predicted* college on voter registration, also controlling for `black`, `hispanic`, and `female`. + +What is the causal effect of attending college? + +```{r} +# TODO +``` + + +### All at once, to make your life wonderful + +Use `iv_robust()` to run a 2SLS model all at the same time: + +```{r} +# TODO +``` + +## Causal effect + +TODO: What is the final causal effect of college attendance on registering to vote? + +```{r} +# TODO: Use modelsummary() to show the results from your manual and automatic 2SLS regressions +``` + + +## References diff --git a/docs/_site/projects/week-11/education-and-voting_answers.Rmd b/docs/_site/projects/week-11/education-and-voting_answers.Rmd new file mode 100644 index 00000000..5a2a5460 --- /dev/null +++ b/docs/_site/projects/week-11/education-and-voting_answers.Rmd @@ -0,0 +1,250 @@ +--- +title: "Does education increase civic engagement?" +date: '`r format(Sys.time(), "%B %e, %Y")`' +bibliography: references.bib +link-citations: true +--- + +Social scientists have long been interested in the causal effects of education. We've seen a ton of examples of economists looking at the causal effect of education on wages or income. Political scientists, not surprisingly, are less interested in income and more interested in the effect of education on civil behavior. For instance, does education make people vote more? + +For this example, we'll use a subset of data from @Dee:2004 (preprocessed and cleaned by @stevedata) to explore whether college education causes people to register to vote. ([See another version of this at Steve's website](http://post8000.svmiller.com/lab-scripts/instrumental-variables-lab.html#An_Application:_Are_There_Civics_Returns_to_Education)) + +- Treatment = `college`: A binary variable indicating if the person attended a junior, community, or 4-year college by 1984 +- Outcome = `register`: A binary variable indicating if the person is currently registered to vote +- Instrument = `distance`: Miles from respondent's high school to the nearest 2-year college + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(ggdag) +library(estimatr) +library(fixest) +library(modelsummary) + +voting <- read_stata("data/Dee04.dta") +``` + + +## Exploratory data analysis + +What proportion of college attendees are registered to vote? Group by `register` and `college`, summarize to get the number or rows in each group, then add a column that calculates the proportion. + +```{r} +group_props <- voting %>% + group_by(register, college) %>% + summarize(total = n()) %>% + group_by(college) %>% + mutate(prop = total / sum(total)) +group_props +``` + +Visualize these proportions with `ggplot()` and `geom_col()` + +```{r} +ggplot(group_props, aes(x = factor(college), y = prop, fill = factor(register))) + + geom_col() +``` + + +## Naive model + +Run a super wrong and naive model that estimates the effect of college attendance on voter registration (`register ~ college`). + +```{r} +model_naive <- lm(register ~ college, data = voting) +tidy(model_naive) +``` + +For fun, make a scatterplot of this relationship: + +```{r} +ggplot(voting, aes(x = college, y = register)) + + geom_point(alpha = 0.05, position = position_jitter(width = 0.1, height = 0.1)) + + geom_smooth(method = "lm") +``` + +TODO: Interpret this finding. Why is this estimate wrong? + +### Bonus fun! Logistic regression + +```{r} +model_logit <- glm(register ~ college, family = binomial(link = "logit"), data = voting) +tidy(model_logit) +# College attendance is associated with a 0.805 increase in the log odds of registering to vote, whatever that means + +# Odds ratio +exp(0.805) +# College attendees are 2.23 times more likely to register to vote + +# plogis((intercept + coefficient)) - plogis(intercept) +plogis((0.298 + 0.805)) - plogis(0.298) +# College attendance leads to a 17.6 percentage point increase in the probability of registering to vote + +library(marginaleffects) +model_logit |> + comparisons(by = "college") + +# "Divide by 4" trick/rule +0.805 / 4 +``` + + +## Distance to college as an instrument + +We're stuck with endogeneity. There are things that cause both education and voter registration that confound the relationship, and we can't control for all of them. + +In his paper, @Dee:2004 uses distance to the nearest college as an instrument to help remove this exogeneity. He essentially creates this DAG (though without actually making a DAG): + +```{r iv-dag, fig.align="center", fig.width=6, fig.height=4.5, echo=FALSE} +distance_dag <- dagify(outcome ~ treatment + unmeasured, + treatment ~ unmeasured + instrument, + exposure = "treatment", + outcome = "outcome", + latent = "unmeasured", + coords = list(x = c(treatment = 1, outcome = 3, + unmeasured = 2, instrument = 0), + y = c(treatment = 1, outcome = 1, + unmeasured = 2, instrument = 1)), + labels = c(treatment = "College", outcome = "Registration", + unmeasured = "Other stuff", instrument = "Distance")) + +set.seed(1234) +ggdag_status(distance_dag, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + + +At first glance, this feels like it could be a good instrument: + +1. **Relevance** (Z → X *and* cor(Z, X) ≠ 0): Distance to college should be associated with college attendance. The closer a college is, the cheapter it is to attend, and the more opportunity there is to attend. +2. **Excludability** (Z → X → Y *and* Z not → Y *and* cor(Z, Y | X) = 0): Distance affects college attendance which affects voting registration. But distance should influence voting registration *only because* people go to college (and no other reason). +3. **Exogeneity** (U not → Z *and* Cor(Z, U) = 0): Colleges should exist before students exist; students and their voting patterns don't influence whether pre-existing colleges exist (i.e. there should be no arrows going into the instrument node). + +Let's check these conditions + +### Relevance + +See if there's correlation between the instrument (`distance`) and the treatment (`college`). Use the `cor()` function (and `cor.test()` if you want a p-value): + +```{r} +model_check_relevance <- lm(college ~ distance, data = voting) +tidy(model_check_relevance) + +voting %>% + summarize(relevance = cor(distance, college)) + +cor.test(voting$distance, voting$college) +``` + +Plot the relationship between the instrument and treatment: + +```{r} +ggplot(voting, aes(x = distance, y = college)) + + geom_point(alpha = 0.01) + + geom_smooth(method = "lm") +``` + +Yep! + + +### Exclusion + +See if there's a relationship between the instrument (`distance`) and the outcome (`register`). + +```{r} +model_check_exclusion <- lm(distance ~ register, data = voting) +tidy(model_check_exclusion) + +voting %>% + summarize(relevance = cor(distance, register)) + +cor.test(voting$distance, voting$register) +``` + +To help check the "only through" condition, see if there's a relationship between `distance` and other possibly confounding variables (like `black`, `female`, `hispanic`, and so on). If it's related, that's a good sign that there's an arrow between those nodes, thus breaking the exclusion requirement. + +```{r} +voting %>% + summarize(rel_black = cor(distance, black), + rel_female = cor(distance, female), + rel_hispanic = cor(distance, hispanic)) +``` + +Nope :( + +### Exogeneity + +There's no statistical test here. Instead we have to tell a theoretical story that distance is uncorrelated with anything else in the DAG. + +In theory, living closer to a college should explain or increase the likelihood of attending college, but shouldn't in turn influence outcomes as an adult, like the propensity to vote. + +But in real life, that's not the case! Black and Hispanic Americans are more likely to live in urban areas, and there are more colleges in urban areas, and race/ethnicity are correlated with voting patterns. + + +## IV estimation + +Let's pretend that this is a good instrument, regardless of whatever we concluded above. + +### By hand, to make your life miserable + +Make a first stage model that predicts college attendance based on distance to college. Control for `black`, `hispanic`, and `female`, since they're potential confounders (and because Dee originally did that too). + +```{r} +first_stage <- lm(college ~ distance + black + hispanic + female, + data = voting) +``` + +Plug the original dataset into the first stage model with `augment_columns()` to generate predicted values of `college` (or the exogenous part of `college`): + +```{r} +voting_with_prediction <- augment_columns(first_stage, voting) %>% + rename(college_hat = .fitted) +``` + +Make a second stage model that estimates the effect of *predicted* college on voter registration, also controlling for `black`, `hispanic`, and `female`. + +What is the causal effect of attending college? + +```{r} +second_stage <- lm(register ~ college_hat + black + hispanic + female, + data = voting_with_prediction) +tidy(second_stage) +``` + + +### All at once, to make your life wonderful + +Use `iv_robust()` to run a 2SLS model all at the same time: + +```{r} +model_all_at_once <- iv_robust(register ~ college + black + hispanic + female | + distance + black + hispanic + female, + data = voting, diagnostics = TRUE) +tidy(model_all_at_once) +summary(model_all_at_once) +``` + +Use `feols()` to run a 2SLS model all the same time: + +```{r} +# y ~ exogenous | fe | endogenous ~ instrument +model_feols <- feols(register ~ black + hispanic + female | college ~ distance, + data = voting) +tidy(model_feols) +# model_feols$iv_first_stage +# summary(model_feols, stage = 1) +``` + +## Causal effect + +TODO: What is the final causal effect of college attendance on registering to vote? + +```{r} +modelsummary(list(second_stage, model_all_at_once, model_feols)) +``` + +Assuming this is a good instrument, going to college causes a 22 percentage point increase in the probability of registering to vote. + +## References diff --git a/docs/_site/projects/week-11/references.bib b/docs/_site/projects/week-11/references.bib new file mode 100644 index 00000000..5c584e18 --- /dev/null +++ b/docs/_site/projects/week-11/references.bib @@ -0,0 +1,29 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Andrew Heiss at 2022-03-31 16:01:33 -0400 + + +%% Saved with string encoding Unicode (UTF-8) + +@Manual{stevedata, + title = {stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, +Social, and Political Topics}, + author = {Steve Miller}, + year = {2021}, + note = {R package version 0.6.0}, + url = {https://CRAN.R-project.org/package=stevedata}, + } + +@article{Dee:2004, + author = {Thomas S. Dee}, + date-added = {2022-03-31 15:59:23 -0400}, + date-modified = {2022-03-31 16:00:25 -0400}, + doi = {10.1016/j.jpubeco.2003.11.002}, + journal = {Journal of Public Economics}, + month = {8}, + number = {9--10}, + pages = {1697--1720}, + title = {Are There Civics Returns to Education?}, + volume = {88}, + year = {2004}} diff --git a/docs/_site/projects/week-11/schools-answers.Rmd b/docs/_site/projects/week-11/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/_site/projects/week-11/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/_site/projects/week-11/week-11.Rproj b/docs/_site/projects/week-11/week-11.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/week-11/week-11.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/week-12/data/nc_schools.dta b/docs/_site/projects/week-12/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/_site/projects/week-12/data/nc_schools.dta differ diff --git a/docs/_site/projects/week-12/iv_answers.R b/docs/_site/projects/week-12/iv_answers.R new file mode 100644 index 00000000..fc206e6b --- /dev/null +++ b/docs/_site/projects/week-12/iv_answers.R @@ -0,0 +1,79 @@ +library(tidyverse) +library(stevedata) +library(estimatr) +library(broom) +library(modelsummary) + + +data(Dee04) + +blah <- Dee04 %>% + group_by(register, college) %>% + summarize(total = n()) + +blah %>% + group_by(college) %>% + mutate(prop = total / sum(total)) + +ggplot(Dee04, aes(x = register)) + +naive_model <- lm(register ~ college, data = Dee04) +tidy(naive_model) + +# 1. Relevance +model_check_relevance <- lm(college ~ distance, data = Dee04) + +Dee04 %>% summarize(relevance = cor(distance, college)) + +cor.test(Dee04$distance, Dee04$college) + +ggplot(Dee04, aes(x = distance, y = college)) + + geom_point(alpha = 0.01) + + geom_smooth(method = "lm") + + +# 2. Exclusion +model_check_exclusion <- lm(distance ~ register, data = Dee04) +tidy(model_check_exclusion) + +Dee04 %>% summarize(relevance = cor(distance, register)) + +cor.test(Dee04$distance, Dee04$register) + +ggplot(Dee04, aes(x = register, y = college)) + + geom_point(alpha = 0.2, position = position_jitter()) + + geom_smooth(method = "lm") + +# 3. Exogeneity +# Tell a story that distance to college isn’t correlated with anything else in the model + +# IN THEORY, living closer to a college should explain or increase the likelihood of attending college, but shouldn't in turn influence outcomes as an adult, like the propensity to vote. + +# But in real life, that's not the case! Black and Hispanic Americans are more likely to live in urban areas, and there are more colleges in urban areas, and race/ethnicity are correlated with voting patterns + +# 2SLS manually +first_stage <- lm(college ~ distance, data = Dee04) + +predicted_college <- augment(first_stage, Dee04) %>% + rename(college_hat = .fitted) + +second_stage <- lm(register ~ college_hat, data = predicted_college) +tidy(second_stage) + +# 2SLS manually with controls +first_stage <- lm(college ~ distance + black + hispanic + female, data = Dee04) + +predicted_college <- augment(first_stage, Dee04) %>% + rename(college_hat = .fitted) + +second_stage <- lm(register ~ college_hat + black + hispanic + female, data = predicted_college) +tidy(second_stage) + +# 2SLS automatically +model_2sls <- iv_robust(register ~ college + black + hispanic + female | + distance + black + hispanic + female, + data = Dee04) +tidy(model_2sls) + + +modelsummary(list(second_stage, model_2sls)) diff --git a/docs/_site/projects/week-12/schools-answers.Rmd b/docs/_site/projects/week-12/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/_site/projects/week-12/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/_site/projects/week-12/schools.Rmd b/docs/_site/projects/week-12/schools.Rmd new file mode 100644 index 00000000..791bca6b --- /dev/null +++ b/docs/_site/projects/week-12/schools.Rmd @@ -0,0 +1,41 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +# Step 3: Check for discontinuity in running variable around cutpoint + +# Step 4: Check for discontinuity in outcome across running variable + +# Step 5: Measure the size of the effect + +## Parametric estimation + +## Nonparametric estimation + +# Step 6: Compare all the effects diff --git a/docs/_site/projects/week-12/week-12.Rproj b/docs/_site/projects/week-12/week-12.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/week-12/week-12.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/projects/week-8/chicago-author-date.csl b/docs/_site/projects/week-8/chicago-author-date.csl new file mode 100644 index 00000000..32d0cab0 --- /dev/null +++ b/docs/_site/projects/week-8/chicago-author-date.csl @@ -0,0 +1,648 @@ + + diff --git a/docs/_site/projects/week-8/cholera.Rmd b/docs/_site/projects/week-8/cholera.Rmd new file mode 100644 index 00000000..ed5d7df7 --- /dev/null +++ b/docs/_site/projects/week-8/cholera.Rmd @@ -0,0 +1,51 @@ +--- +title: "Cholera" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# This way lets you specify tables row-wise (hence t*r*ibble) and is far easier to read +cholera <- tribble( + ~deaths, ~year, ~location, + 1349, 1849, "Southwark & Vauxhall", + 847, 1849, "Lambeth", + 1466, 1854, "Southwark & Vauxhall", + 193, 1854, "Lambeth" +) %>% + mutate(year = factor(year)) %>% + mutate(location = fct_relevel(location, "Southwark & Vauxhall")) + +model <- lm(deaths ~ year + location + year * location, data = cholera) +``` + +```{r} +tidy(model) +``` + +```{r} +results <- tidy(model) + +before_treatment <- results %>% filter(term == "(Intercept)") %>% pull(estimate) + + results %>% filter(term == "locationLambeth") %>% pull(estimate) + +year_effect <- results %>% filter(term == "year1854") %>% pull(estimate) + +after_treatment <- before_treatment + year_effect + +dd_effect <- results %>% filter(term == "year1854:locationLambeth") %>% pull(estimate) + +ggplot(cholera, aes(x = year, + y = deaths, + color = location)) + + geom_line(aes(group = location)) + + annotate(geom = "segment", x = "1849", xend = "1854", + y = before_treatment, yend = before_treatment + year_effect, + linetype = "dashed", color = "grey50") + + annotate(geom = "segment", x = "1854", xend = "1854", + y = after_treatment, yend = before_treatment + year_effect + dd_effect, + linetype = "dotted", color = "blue") +``` + diff --git a/docs/_site/projects/week-8/data/catholic.dta b/docs/_site/projects/week-8/data/catholic.dta new file mode 100644 index 00000000..67f92ba6 Binary files /dev/null and b/docs/_site/projects/week-8/data/catholic.dta differ diff --git a/docs/_site/projects/week-8/data/deaths.csv b/docs/_site/projects/week-8/data/deaths.csv new file mode 100644 index 00000000..34f24a30 --- /dev/null +++ b/docs/_site/projects/week-8/data/deaths.csv @@ -0,0 +1,24787 @@ +year,state,legal1820,dtype,agegr,count,pop,age,legal,beertaxa,beerpercap,winepercap,spiritpercap,totpercap,mrate +1970,1,0,all,15-17 yrs,224,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,104.88168334960938 +1971,1,0,all,15-17 yrs,241,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,109.53250885009766 +1972,1,0,all,15-17 yrs,270,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,120.06563568115234 +1973,1,0,all,15-17 yrs,258,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,113.52835845947266 +1974,1,0,all,15-17 yrs,224,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,97.80591583251953 +1975,1,0.2939954102039337,all,15-17 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+1995,56,0,all,15-17 yrs,26,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,101.46341705322266 +1996,56,0,all,15-17 yrs,25,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,95.1366195678711 +1970,1,0,MVA,15-17 yrs,84,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,39.330631256103516 +1970,1,0,suicide,15-17 yrs,5,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,2.341109037399292 +1970,1,0,homicide,15-17 yrs,19,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,8.89621353149414 +1970,1,0,other external,15-17 yrs,49,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,22.942867279052734 +1970,1,0,internal,15-17 yrs,67,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,31.370859146118164 +1970,1,0,all,18-20 yrs,292,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,153.87046813964844 +1970,1,0,MVA,18-20 yrs,118,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,62.18053436279297 +1970,1,0,suicide,18-20 yrs,4,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,2.1078147888183594 +1970,1,0,homicide,18-20 yrs,35,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,18.443378448486328 +1970,1,0,other external,18-20 yrs,50,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,26.347684860229492 +1970,1,0,internal,18-20 yrs,85,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,44.79106140136719 +1970,1,0,all,21-24 yrs,369,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,172.9568634033203 +1970,1,0,MVA,21-24 yrs,139,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,65.15177154541016 +1970,1,0,suicide,21-24 yrs,17,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,7.968202114105225 +1970,1,0,homicide,21-24 yrs,55,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,25.779478073120117 +1970,1,0,other external,21-24 yrs,58,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,27.185630798339844 +1970,1,0,internal,21-24 yrs,100,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,46.87177658081055 +1971,1,0,MVA,15-17 yrs,92,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,41.81324005126953 +1971,1,0,suicide,15-17 yrs,5,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,2.272458791732788 +1971,1,0,homicide,15-17 yrs,15,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,6.817376136779785 +1971,1,0,other external,15-17 yrs,61,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,27.723997116088867 +1971,1,0,internal,15-17 yrs,68,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,30.905439376831055 +1971,1,0,all,18-20 yrs,316,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,161.5352020263672 +1971,1,0,MVA,18-20 yrs,122,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,62.3648567199707 +1971,1,0,suicide,18-20 yrs,14,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,7.156622886657715 +1971,1,0,homicide,18-20 yrs,37,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,18.913930892944336 +1971,1,0,other external,18-20 yrs,57,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,29.137678146362305 +1971,1,0,internal,18-20 yrs,86,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,43.96211242675781 +1971,1,0,all,21-24 yrs,422,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,178.49514770507812 +1971,1,0,MVA,21-24 yrs,139,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,58.79342269897461 +1971,1,0,suicide,21-24 yrs,22,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,9.305434226989746 +1971,1,0,homicide,21-24 yrs,73,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,30.877120971679688 +1971,1,0,other external,21-24 yrs,64,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,27.07035255432129 +1971,1,0,internal,21-24 yrs,124,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,52.44881057739258 +1972,1,0,MVA,15-17 yrs,106,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,47.136878967285156 +1972,1,0,suicide,15-17 yrs,6,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,2.6681251525878906 +1972,1,0,homicide,15-17 yrs,18,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,8.004375457763672 +1972,1,0,other external,15-17 yrs,64,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,28.460002899169922 +1972,1,0,internal,15-17 yrs,76,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,33.7962532043457 +1972,1,0,all,18-20 yrs,320,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,159.21348571777344 +1972,1,0,MVA,18-20 yrs,148,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,73.63623809814453 +1972,1,0,suicide,18-20 yrs,20,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,9.95084285736084 +1972,1,0,homicide,18-20 yrs,28,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,13.931180000305176 +1972,1,0,other external,18-20 yrs,52,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,25.872190475463867 +1972,1,0,internal,18-20 yrs,72,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,35.82303237915039 +1972,1,0,all,21-24 yrs,424,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,177.87249755859375 +1972,1,0,MVA,21-24 yrs,156,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,65.44365692138672 +1972,1,0,suicide,21-24 yrs,18,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,7.5511908531188965 +1972,1,0,homicide,21-24 yrs,84,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,35.2388916015625 +1972,1,0,other external,21-24 yrs,60,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,25.170635223388672 +1972,1,0,internal,21-24 yrs,106,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,44.46812438964844 +1973,1,0,MVA,15-17 yrs,108,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,47.52349853515625 +1973,1,0,suicide,15-17 yrs,10,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,4.400323867797852 +1973,1,0,homicide,15-17 yrs,15,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,6.600485801696777 +1973,1,0,other external,15-17 yrs,72,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,31.682331085205078 +1973,1,0,internal,15-17 yrs,53,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,23.32171630859375 +1973,1,0,all,18-20 yrs,291,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,140.885986328125 +1973,1,0,MVA,18-20 yrs,131,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,63.42290115356445 +1973,1,0,suicide,18-20 yrs,15,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,7.262164115905762 +1973,1,0,homicide,18-20 yrs,25,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,12.103607177734375 +1973,1,0,other external,18-20 yrs,58,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,28.080368041992188 +1973,1,0,internal,18-20 yrs,62,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,30.016944885253906 +1973,1,0,all,21-24 yrs,365,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,149.36366271972656 +1973,1,0,MVA,21-24 yrs,142,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,58.108604431152344 +1973,1,0,suicide,21-24 yrs,24,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,9.821172714233398 +1973,1,0,homicide,21-24 yrs,51,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,20.869991302490234 +1973,1,0,other external,21-24 yrs,70,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,28.64508819580078 +1973,1,0,internal,21-24 yrs,78,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,31.918811798095703 +1974,1,0,MVA,15-17 yrs,78,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,34.05741882324219 +1974,1,0,suicide,15-17 yrs,3,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,1.3099006414413452 +1974,1,0,homicide,15-17 yrs,19,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,8.296037673950195 +1974,1,0,other external,15-17 yrs,61,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,26.634647369384766 +1974,1,0,internal,15-17 yrs,63,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,27.50791358947754 +1974,1,0,all,18-20 yrs,306,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,143.0983123779297 +1974,1,0,MVA,18-20 yrs,129,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,60.32575988769531 +1974,1,0,suicide,18-20 yrs,12,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,5.611698627471924 +1974,1,0,homicide,18-20 yrs,30,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,14.02924633026123 +1974,1,0,other external,18-20 yrs,60,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.05849266052246 +1974,1,0,internal,18-20 yrs,75,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,35.073116302490234 +1974,1,0,all,21-24 yrs,419,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,168.5350341796875 +1974,1,0,MVA,21-24 yrs,125,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,50.27894592285156 +1974,1,0,suicide,21-24 yrs,27,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,10.860252380371094 +1974,1,0,homicide,21-24 yrs,72,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.960674285888672 +1974,1,0,other external,21-24 yrs,70,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.15620994567871 +1974,1,0,internal,21-24 yrs,125,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,50.27894592285156 +1975,1,0.2939954102039337,MVA,15-17 yrs,76,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,33.081016540527344 +1975,1,0.2939954102039337,suicide,15-17 yrs,9,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,3.9174890518188477 +1975,1,0.2939954102039337,homicide,15-17 yrs,17,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,7.3997015953063965 +1975,1,0.2939954102039337,other external,15-17 yrs,38,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,16.540508270263672 +1975,1,0.2939954102039337,internal,15-17 yrs,67,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,29.163528442382812 +1975,1,0.2939954102039337,all,18-20 yrs,326,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,147.94107055664062 +1975,1,0.2939954102039337,MVA,18-20 yrs,110,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,49.91876983642578 +1975,1,0.2939954102039337,suicide,18-20 yrs,23,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,10.43756103515625 +1975,1,0.2939954102039337,homicide,18-20 yrs,43,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,19.513700485229492 +1975,1,0.2939954102039337,other external,18-20 yrs,65,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,29.497453689575195 +1975,1,0.2939954102039337,internal,18-20 yrs,85,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,38.57359313964844 +1975,1,0.2939954102039337,all,21-24 yrs,372,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,145.36758422851562 +1975,1,0.2939954102039337,MVA,21-24 yrs,109,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,42.59426498413086 +1975,1,0.2939954102039337,suicide,21-24 yrs,24,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,9.37855339050293 +1975,1,0.2939954102039337,homicide,21-24 yrs,65,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,25.400249481201172 +1975,1,0.2939954102039337,other external,21-24 yrs,78,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,30.48029899597168 +1975,1,0.2939954102039337,internal,21-24 yrs,96,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,37.51421356201172 +1976,1,0.665070116519928,MVA,15-17 yrs,101,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,43.78055953979492 +1976,1,0.665070116519928,suicide,15-17 yrs,7,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,3.0342962741851807 +1976,1,0.665070116519928,homicide,15-17 yrs,9,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,3.901237964630127 +1976,1,0.665070116519928,other external,15-17 yrs,51,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,22.10701560974121 +1976,1,0.665070116519928,internal,15-17 yrs,63,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,27.308666229248047 +1976,1,0.665070116519928,all,18-20 yrs,299,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,132.6024627685547 +1976,1,0.665070116519928,MVA,18-20 yrs,112,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,49.67049026489258 +1976,1,0.665070116519928,suicide,18-20 yrs,19,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,8.426243782043457 +1976,1,0.665070116519928,homicide,18-20 yrs,33,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,14.635054588317871 +1976,1,0.665070116519928,other external,18-20 yrs,69,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,30.600568771362305 +1976,1,0.665070116519928,internal,18-20 yrs,66,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,29.270109176635742 +1976,1,0.665070116519928,all,21-24 yrs,372,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,140.30958557128906 +1976,1,0.665070116519928,MVA,21-24 yrs,121,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,45.63833236694336 +1976,1,0.665070116519928,suicide,21-24 yrs,31,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,11.692465782165527 +1976,1,0.665070116519928,homicide,21-24 yrs,54,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,20.367521286010742 +1976,1,0.665070116519928,other external,21-24 yrs,73,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,27.533870697021484 +1976,1,0.665070116519928,internal,21-24 yrs,93,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,35.077396392822266 +1977,1,0.6684675216674805,MVA,15-17 yrs,99,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,43.02738952636719 +1977,1,0.6684675216674805,suicide,15-17 yrs,8,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,3.4769608974456787 +1977,1,0.6684675216674805,homicide,15-17 yrs,18,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,7.823161602020264 +1977,1,0.6684675216674805,other external,15-17 yrs,47,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.42714500427246 +1977,1,0.6684675216674805,internal,15-17 yrs,47,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.42714500427246 +1977,1,0.6684675216674805,all,18-20 yrs,332,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,145.8270263671875 +1977,1,0.6684675216674805,MVA,18-20 yrs,148,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,65.0072250366211 +1977,1,0.6684675216674805,suicide,18-20 yrs,29,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,12.737902641296387 +1977,1,0.6684675216674805,homicide,18-20 yrs,37,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,16.251806259155273 +1977,1,0.6684675216674805,other external,18-20 yrs,68,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,29.86818504333496 +1977,1,0.6684675216674805,internal,18-20 yrs,50,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,21.96190071105957 +1977,1,0.6684675216674805,all,21-24 yrs,403,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,148.21461486816406 +1977,1,0.6684675216674805,MVA,21-24 yrs,146,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,53.69561767578125 +1977,1,0.6684675216674805,suicide,21-24 yrs,27,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,9.930011749267578 +1977,1,0.6684675216674805,homicide,21-24 yrs,55,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.227802276611328 +1977,1,0.6684675216674805,other external,21-24 yrs,76,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,27.95114517211914 +1977,1,0.6684675216674805,internal,21-24 yrs,99,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,36.41004180908203 +1978,1,0.667184591293335,MVA,15-17 yrs,118,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,51.411865234375 +1978,1,0.667184591293335,suicide,15-17 yrs,10,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,4.356937885284424 +1978,1,0.667184591293335,homicide,15-17 yrs,13,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,5.6640191078186035 +1978,1,0.667184591293335,other external,15-17 yrs,46,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,20.041913986206055 +1978,1,0.667184591293335,internal,15-17 yrs,47,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,20.47760772705078 +1978,1,0.667184591293335,all,18-20 yrs,317,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,138.7478485107422 +1978,1,0.667184591293335,MVA,18-20 yrs,159,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,69.5927734375 +1978,1,0.667184591293335,suicide,18-20 yrs,20,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,8.75380802154541 +1978,1,0.667184591293335,homicide,18-20 yrs,31,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,13.568402290344238 +1978,1,0.667184591293335,other external,18-20 yrs,49,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,21.446828842163086 +1978,1,0.667184591293335,internal,18-20 yrs,58,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,25.386043548583984 +1978,1,0.667184591293335,all,21-24 yrs,436,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,155.83059692382812 +1978,1,0.667184591293335,MVA,21-24 yrs,157,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,56.113311767578125 +1978,1,0.667184591293335,suicide,21-24 yrs,34,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,12.151927947998047 +1978,1,0.667184591293335,homicide,21-24 yrs,68,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,24.303855895996094 +1978,1,0.667184591293335,other external,21-24 yrs,82,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,29.30759048461914 +1978,1,0.667184591293335,internal,21-24 yrs,95,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,33.953914642333984 +1979,1,0.6680923700332642,MVA,15-17 yrs,77,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,33.89979934692383 +1979,1,0.6680923700332642,suicide,15-17 yrs,10,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,4.402571201324463 +1979,1,0.6680923700332642,homicide,15-17 yrs,10,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,4.402571201324463 +1979,1,0.6680923700332642,other external,15-17 yrs,38,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,16.72977066040039 +1979,1,0.6680923700332642,internal,15-17 yrs,41,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,18.050540924072266 +1979,1,0.6680923700332642,all,18-20 yrs,309,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,135.4116973876953 +1979,1,0.6680923700332642,MVA,18-20 yrs,136,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,59.59867477416992 +1979,1,0.6680923700332642,suicide,18-20 yrs,22,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,9.640961647033691 +1979,1,0.6680923700332642,homicide,18-20 yrs,35,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,15.33789348602295 +1979,1,0.6680923700332642,other external,18-20 yrs,66,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,28.92288589477539 +1979,1,0.6680923700332642,internal,18-20 yrs,50,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,21.911277770996094 +1979,1,0.6680923700332642,all,21-24 yrs,425,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,150.15650939941406 +1979,1,0.6680923700332642,MVA,21-24 yrs,152,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,53.70303726196289 +1979,1,0.6680923700332642,suicide,21-24 yrs,36,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,12.71914005279541 +1979,1,0.6680923700332642,homicide,21-24 yrs,74,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,26.144899368286133 +1979,1,0.6680923700332642,other external,21-24 yrs,75,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,26.49820899963379 +1979,1,0.6680923700332642,internal,21-24 yrs,88,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,31.091232299804688 +1980,1,0.6722586154937744,MVA,15-17 yrs,77,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,34.636940002441406 +1980,1,0.6722586154937744,suicide,15-17 yrs,10,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,4.49830436706543 +1980,1,0.6722586154937744,homicide,15-17 yrs,8,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,3.5986433029174805 +1980,1,0.6722586154937744,other external,15-17 yrs,54,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,24.290842056274414 +1980,1,0.6722586154937744,internal,15-17 yrs,47,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,21.14202880859375 +1980,1,0.6722586154937744,all,18-20 yrs,276,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,120.10757446289062 +1980,1,0.6722586154937744,MVA,18-20 yrs,97,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,42.21171951293945 +1980,1,0.6722586154937744,suicide,18-20 yrs,21,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,9.138619422912598 +1980,1,0.6722586154937744,homicide,18-20 yrs,34,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,14.795860290527344 +1980,1,0.6722586154937744,other external,18-20 yrs,57,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,24.804824829101562 +1980,1,0.6722586154937744,internal,18-20 yrs,67,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,29.15654945373535 +1980,1,0.6722586154937744,all,21-24 yrs,446,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,155.5828399658203 +1980,1,0.6722586154937744,MVA,21-24 yrs,148,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,51.628387451171875 +1980,1,0.6722586154937744,suicide,21-24 yrs,44,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,15.348979949951172 +1980,1,0.6722586154937744,homicide,21-24 yrs,79,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,27.558395385742188 +1980,1,0.6722586154937744,other external,21-24 yrs,63,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,21.976947784423828 +1980,1,0.6722586154937744,internal,21-24 yrs,112,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,39.07012939453125 +1981,1,0.6792081594467163,MVA,15-17 yrs,76,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,35.43585968017578 +1981,1,0.6792081594467163,suicide,15-17 yrs,12,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,5.5951361656188965 +1981,1,0.6792081594467163,homicide,15-17 yrs,14,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,6.527658462524414 +1981,1,0.6792081594467163,other external,15-17 yrs,34,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,15.852885246276855 +1981,1,0.6792081594467163,internal,15-17 yrs,34,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,15.852885246276855 +1981,1,0.6792081594467163,all,18-20 yrs,242,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,105.87334442138672 +1981,1,0.6792081594467163,MVA,18-20 yrs,108,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,47.24925994873047 +1981,1,0.6792081594467163,suicide,18-20 yrs,24,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,10.499835968017578 +1981,1,0.6792081594467163,homicide,18-20 yrs,30,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,13.124794960021973 +1981,1,0.6792081594467163,other external,18-20 yrs,46,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,20.124685287475586 +1981,1,0.6792081594467163,internal,18-20 yrs,34,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,14.874767303466797 +1981,1,0.6792081594467163,all,21-24 yrs,374,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,128.70632934570312 +1981,1,0.6792081594467163,MVA,21-24 yrs,134,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,46.11403274536133 +1981,1,0.6792081594467163,suicide,21-24 yrs,30,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,10.324037551879883 +1981,1,0.6792081594467163,homicide,21-24 yrs,60,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,20.648075103759766 +1981,1,0.6792081594467163,other external,21-24 yrs,68,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,23.401151657104492 +1981,1,0.6792081594467163,internal,21-24 yrs,82,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,28.21903419494629 +1982,1,0.6759088635444641,MVA,15-17 yrs,58,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,28.4384822845459 +1982,1,0.6759088635444641,suicide,15-17 yrs,12,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,5.883823871612549 +1982,1,0.6759088635444641,homicide,15-17 yrs,6,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,2.9419119358062744 +1982,1,0.6759088635444641,other external,15-17 yrs,38,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,18.632108688354492 +1982,1,0.6759088635444641,internal,15-17 yrs,28,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,13.728922843933105 +1982,1,0.6759088635444641,all,18-20 yrs,266,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,118.30740356445312 +1982,1,0.6759088635444641,MVA,18-20 yrs,108,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,48.034584045410156 +1982,1,0.6759088635444641,suicide,18-20 yrs,12,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,5.337176322937012 +1982,1,0.6759088635444641,homicide,18-20 yrs,48,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,21.348705291748047 +1982,1,0.6759088635444641,other external,18-20 yrs,32,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,14.23246955871582 +1982,1,0.6759088635444641,internal,18-20 yrs,66,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,29.354469299316406 +1982,1,0.6759088635444641,all,21-24 yrs,418,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,143.25173950195312 +1982,1,0.6759088635444641,MVA,21-24 yrs,138,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,47.29364013671875 +1982,1,0.6759088635444641,suicide,21-24 yrs,52,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,17.820791244506836 +1982,1,0.6759088635444641,homicide,21-24 yrs,58,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,19.877037048339844 +1982,1,0.6759088635444641,other external,21-24 yrs,66,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,22.618696212768555 +1982,1,0.6759088635444641,internal,21-24 yrs,104,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,35.64158248901367 +1983,1,0.6796314120292664,MVA,15-17 yrs,70,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,35.96974563598633 +1983,1,0.6796314120292664,suicide,15-17 yrs,4,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,2.0554139614105225 +1983,1,0.6796314120292664,homicide,15-17 yrs,10,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,5.138535022735596 +1983,1,0.6796314120292664,other external,15-17 yrs,29,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,14.901751518249512 +1983,1,0.6796314120292664,internal,15-17 yrs,27,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,13.874044418334961 +1983,1,0.6796314120292664,all,18-20 yrs,283,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,128.1528778076172 +1983,1,0.6796314120292664,MVA,18-20 yrs,119,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,53.88760757446289 +1983,1,0.6796314120292664,suicide,18-20 yrs,25,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,11.32092571258545 +1983,1,0.6796314120292664,homicide,18-20 yrs,27,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,12.22659969329834 +1983,1,0.6796314120292664,other external,18-20 yrs,56,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,25.35887336730957 +1983,1,0.6796314120292664,internal,18-20 yrs,56,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,25.35887336730957 +1983,1,0.6796314120292664,all,21-24 yrs,347,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,118.88773345947266 +1983,1,0.6796314120292664,MVA,21-24 yrs,131,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,44.882686614990234 +1983,1,0.6796314120292664,suicide,21-24 yrs,35,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,11.991558074951172 +1983,1,0.6796314120292664,homicide,21-24 yrs,43,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,14.7324857711792 +1983,1,0.6796314120292664,other external,21-24 yrs,55,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,18.843875885009766 +1983,1,0.6796314120292664,internal,21-24 yrs,83,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,28.437122344970703 +1984,1,0.6895281076431274,MVA,15-17 yrs,57,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,29.740320205688477 +1984,1,0.6895281076431274,suicide,15-17 yrs,14,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,7.30463981628418 +1984,1,0.6895281076431274,homicide,15-17 yrs,8,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,4.174079895019531 +1984,1,0.6895281076431274,other external,15-17 yrs,21,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,10.95695972442627 +1984,1,0.6895281076431274,internal,15-17 yrs,31,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,16.174560546875 +1984,1,0.6895281076431274,all,18-20 yrs,228,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,106.058349609375 +1984,1,0.6895281076431274,MVA,18-20 yrs,113,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,52.56400680541992 +1984,1,0.6895281076431274,suicide,18-20 yrs,13,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,6.047186851501465 +1984,1,0.6895281076431274,homicide,18-20 yrs,19,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,8.83819580078125 +1984,1,0.6895281076431274,other external,18-20 yrs,34,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,15.815718650817871 +1984,1,0.6895281076431274,internal,18-20 yrs,49,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,22.793241500854492 +1984,1,0.6895281076431274,all,21-24 yrs,353,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,121.85355377197266 +1984,1,0.6895281076431274,MVA,21-24 yrs,131,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,45.22043991088867 +1984,1,0.6895281076431274,suicide,21-24 yrs,39,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,13.462574005126953 +1984,1,0.6895281076431274,homicide,21-24 yrs,54,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,18.640487670898438 +1984,1,0.6895281076431274,other external,21-24 yrs,62,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,21.402040481567383 +1984,1,0.6895281076431274,internal,21-24 yrs,67,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,23.12801170349121 +1985,1,0.677747368812561,MVA,15-17 yrs,85,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,43.84494400024414 +1985,1,0.677747368812561,suicide,15-17 yrs,14,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,7.221519947052002 +1985,1,0.677747368812561,homicide,15-17 yrs,12,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,6.189874172210693 +1985,1,0.677747368812561,other external,15-17 yrs,24,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,12.379748344421387 +1985,1,0.677747368812561,internal,15-17 yrs,31,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,15.990509033203125 +1985,1,0.677747368812561,all,18-20 yrs,221,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,107.01972198486328 +1985,1,0.677747368812561,MVA,18-20 yrs,103,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,49.877967834472656 +1985,1,0.677747368812561,suicide,18-20 yrs,24,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,11.622051239013672 +1985,1,0.677747368812561,homicide,18-20 yrs,16,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,7.7480340003967285 +1985,1,0.677747368812561,other external,18-20 yrs,29,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,14.04331111907959 +1985,1,0.677747368812561,internal,18-20 yrs,49,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,23.72835350036621 +1985,1,0.677747368812561,all,21-24 yrs,358,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,124.95201110839844 +1985,1,0.677747368812561,MVA,21-24 yrs,122,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,42.5814094543457 +1985,1,0.677747368812561,suicide,21-24 yrs,37,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,12.914034843444824 +1985,1,0.677747368812561,homicide,21-24 yrs,56,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,19.545564651489258 +1985,1,0.677747368812561,other external,21-24 yrs,52,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,18.14945411682129 +1985,1,0.677747368812561,internal,21-24 yrs,91,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,31.76154327392578 +1986,1,0.42814481258392334,MVA,15-17 yrs,92,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,46.03291320800781 +1986,1,0.42814481258392334,suicide,15-17 yrs,16,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,8.00572395324707 +1986,1,0.42814481258392334,homicide,15-17 yrs,8,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,4.002861976623535 +1986,1,0.42814481258392334,other external,15-17 yrs,34,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,17.012163162231445 +1986,1,0.42814481258392334,internal,15-17 yrs,34,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,17.012163162231445 +1986,1,0.42814481258392334,all,18-20 yrs,238,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,119.99596405029297 +1986,1,0.42814481258392334,MVA,18-20 yrs,125,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,63.02309036254883 +1986,1,0.42814481258392334,suicide,18-20 yrs,17,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,8.57114028930664 +1986,1,0.42814481258392334,homicide,18-20 yrs,27,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,13.612987518310547 +1986,1,0.42814481258392334,other external,18-20 yrs,26,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,13.108802795410156 +1986,1,0.42814481258392334,internal,18-20 yrs,43,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,21.679943084716797 +1986,1,0.42814481258392334,all,21-24 yrs,317,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,113.341796875 +1986,1,0.42814481258392334,MVA,21-24 yrs,130,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,46.48086166381836 +1986,1,0.42814481258392334,suicide,21-24 yrs,34,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,12.156533241271973 +1986,1,0.42814481258392334,homicide,21-24 yrs,46,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,16.44707489013672 +1986,1,0.42814481258392334,other external,21-24 yrs,41,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,14.659348487854004 +1986,1,0.42814481258392334,internal,21-24 yrs,66,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,23.597976684570312 +1987,1,0.09395354241132736,MVA,15-17 yrs,100,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,49.86312484741211 +1987,1,0.09395354241132736,suicide,15-17 yrs,14,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,6.980837821960449 +1987,1,0.09395354241132736,homicide,15-17 yrs,11,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,5.484943866729736 +1987,1,0.09395354241132736,other external,15-17 yrs,36,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,17.950725555419922 +1987,1,0.09395354241132736,internal,15-17 yrs,28,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,13.961675643920898 +1987,1,0.09395354241132736,all,18-20 yrs,253,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,128.8266143798828 +1987,1,0.09395354241132736,MVA,18-20 yrs,126,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,64.15870666503906 +1987,1,0.09395354241132736,suicide,18-20 yrs,21,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,10.69311809539795 +1987,1,0.09395354241132736,homicide,18-20 yrs,28,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,14.257490158081055 +1987,1,0.09395354241132736,other external,18-20 yrs,36,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.331058502197266 +1987,1,0.09395354241132736,internal,18-20 yrs,42,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,21.3862361907959 +1987,1,0.09395354241132736,all,21-24 yrs,349,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,129.295654296875 +1987,1,0.09395354241132736,MVA,21-24 yrs,150,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,55.571197509765625 +1987,1,0.09395354241132736,suicide,21-24 yrs,30,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,11.114239692687988 +1987,1,0.09395354241132736,homicide,21-24 yrs,50,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.523733139038086 +1987,1,0.09395354241132736,other external,21-24 yrs,44,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,16.300884246826172 +1987,1,0.09395354241132736,internal,21-24 yrs,75,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,27.785598754882812 +1988,1,0,MVA,15-17 yrs,82,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,41.842071533203125 +1988,1,0,suicide,15-17 yrs,18,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,9.184844970703125 +1988,1,0,homicide,15-17 yrs,8,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,4.0821533203125 +1988,1,0,other external,15-17 yrs,25,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,12.756729125976562 +1988,1,0,internal,15-17 yrs,37,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.879959106445312 +1988,1,0,all,18-20 yrs,221,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,111.33837890625 +1988,1,0,MVA,18-20 yrs,106,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,53.40211868286133 +1988,1,0,suicide,18-20 yrs,17,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,8.56449031829834 +1988,1,0,homicide,18-20 yrs,30,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,15.11380672454834 +1988,1,0,other external,18-20 yrs,33,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,16.625186920166016 +1988,1,0,internal,18-20 yrs,35,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,17.632774353027344 +1988,1,0,all,21-24 yrs,360,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,139.21652221679688 +1988,1,0,MVA,21-24 yrs,137,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,52.97962188720703 +1988,1,0,suicide,21-24 yrs,32,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,12.374801635742188 +1988,1,0,homicide,21-24 yrs,59,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,22.8160400390625 +1988,1,0,other external,21-24 yrs,50,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,19.335628509521484 +1988,1,0,internal,21-24 yrs,82,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,31.710430145263672 +1989,1,0,MVA,15-17 yrs,76,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,40.6917610168457 +1989,1,0,suicide,15-17 yrs,14,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,7.495850563049316 +1989,1,0,homicide,15-17 yrs,17,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,9.102104187011719 +1989,1,0,other external,15-17 yrs,26,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.920865058898926 +1989,1,0,internal,15-17 yrs,37,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,19.810462951660156 +1989,1,0,all,18-20 yrs,201,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,98.48210144042969 +1989,1,0,MVA,18-20 yrs,80,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,39.19685745239258 +1989,1,0,suicide,18-20 yrs,27,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.228939056396484 +1989,1,0,homicide,18-20 yrs,38,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,18.618507385253906 +1989,1,0,other external,18-20 yrs,21,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,10.289175033569336 +1989,1,0,internal,18-20 yrs,35,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,17.148624420166016 +1989,1,0,all,21-24 yrs,290,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,117.85742950439453 +1989,1,0,MVA,21-24 yrs,109,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,44.29813766479492 +1989,1,0,suicide,21-24 yrs,34,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.817768096923828 +1989,1,0,homicide,21-24 yrs,50,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,20.320247650146484 +1989,1,0,other external,21-24 yrs,32,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.004958152770996 +1989,1,0,internal,21-24 yrs,65,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,26.41632080078125 +1990,1,0,MVA,15-17 yrs,78,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,43.18171691894531 +1990,1,0,suicide,15-17 yrs,20,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,11.072235107421875 +1990,1,0,homicide,15-17 yrs,20,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,11.072235107421875 +1990,1,0,other external,15-17 yrs,31,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,17.161964416503906 +1990,1,0,internal,15-17 yrs,28,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,15.501129150390625 +1990,1,0,all,18-20 yrs,299,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,144.5037841796875 +1990,1,0,MVA,18-20 yrs,131,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,63.31101989746094 +1990,1,0,suicide,18-20 yrs,21,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,10.149094581604004 +1990,1,0,homicide,18-20 yrs,57,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,27.547544479370117 +1990,1,0,other external,18-20 yrs,49,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,23.68122100830078 +1990,1,0,internal,18-20 yrs,41,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,19.814899444580078 +1990,1,0,all,21-24 yrs,360,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,149.2667236328125 +1990,1,0,MVA,21-24 yrs,133,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,55.1457633972168 +1990,1,0,suicide,21-24 yrs,49,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,20.31686019897461 +1990,1,0,homicide,21-24 yrs,66,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,27.36556625366211 +1990,1,0,other external,21-24 yrs,41,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,16.99982261657715 +1990,1,0,internal,21-24 yrs,71,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,29.4387149810791 +1991,1,0,MVA,15-17 yrs,80,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,44.61223602294922 +1991,1,0,suicide,15-17 yrs,12,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,6.691835403442383 +1991,1,0,homicide,15-17 yrs,21,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,11.710711479187012 +1991,1,0,other external,15-17 yrs,23,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,12.826017379760742 +1991,1,0,internal,15-17 yrs,42,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,23.421422958374023 +1991,1,0,all,18-20 yrs,287,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,142.3116912841797 +1991,1,0,MVA,18-20 yrs,114,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,56.527992248535156 +1991,1,0,suicide,18-20 yrs,25,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,12.396489143371582 +1991,1,0,homicide,18-20 yrs,65,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,32.230873107910156 +1991,1,0,other external,18-20 yrs,33,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,16.363365173339844 +1991,1,0,internal,18-20 yrs,50,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,24.792978286743164 +1991,1,0,all,21-24 yrs,327,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,132.19224548339844 +1991,1,0,MVA,21-24 yrs,102,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,41.23427963256836 +1991,1,0,suicide,21-24 yrs,42,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,16.97882080078125 +1991,1,0,homicide,21-24 yrs,62,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,25.063974380493164 +1991,1,0,other external,21-24 yrs,44,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,17.787336349487305 +1991,1,0,internal,21-24 yrs,77,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,31.127838134765625 +1992,1,0,MVA,15-17 yrs,69,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,38.015689849853516 +1992,1,0,suicide,15-17 yrs,19,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.46808910369873 +1992,1,0,homicide,15-17 yrs,24,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,13.222848892211914 +1992,1,0,other external,15-17 yrs,19,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.46808910369873 +1992,1,0,internal,15-17 yrs,38,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,20.93617820739746 +1992,1,0,all,18-20 yrs,244,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,125.99465942382812 +1992,1,0,MVA,18-20 yrs,99,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,51.120784759521484 +1992,1,0,suicide,18-20 yrs,21,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.843802452087402 +1992,1,0,homicide,18-20 yrs,57,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,29.43317985534668 +1992,1,0,other external,18-20 yrs,29,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,14.974775314331055 +1992,1,0,internal,18-20 yrs,38,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,19.622119903564453 +1992,1,0,all,21-24 yrs,328,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,127.23090362548828 +1992,1,0,MVA,21-24 yrs,109,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,42.281002044677734 +1992,1,0,suicide,21-24 yrs,44,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,17.06756019592285 +1992,1,0,homicide,21-24 yrs,63,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,24.43764305114746 +1992,1,0,other external,21-24 yrs,40,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,15.515963554382324 +1992,1,0,internal,21-24 yrs,72,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,27.928735733032227 +1993,1,0,MVA,15-17 yrs,79,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,43.1649169921875 +1993,1,0,suicide,15-17 yrs,20,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,10.927826881408691 +1993,1,0,homicide,15-17 yrs,20,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,10.927826881408691 +1993,1,0,other external,15-17 yrs,24,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,13.11339282989502 +1993,1,0,internal,15-17 yrs,16,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,8.74226188659668 +1993,1,0,all,18-20 yrs,259,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,135.62481689453125 +1993,1,0,MVA,18-20 yrs,85,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,44.510074615478516 +1993,1,0,suicide,18-20 yrs,22,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,11.520255088806152 +1993,1,0,homicide,18-20 yrs,66,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,34.56076431274414 +1993,1,0,other external,18-20 yrs,41,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,21.469566345214844 +1993,1,0,internal,18-20 yrs,45,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,23.564157485961914 +1993,1,0,all,21-24 yrs,389,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,147.45907592773438 +1993,1,0,MVA,21-24 yrs,128,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,48.521240234375 +1993,1,0,suicide,21-24 yrs,52,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,19.711753845214844 +1993,1,0,homicide,21-24 yrs,80,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,30.325775146484375 +1993,1,0,other external,21-24 yrs,40,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,15.162887573242188 +1993,1,0,internal,21-24 yrs,89,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,33.737422943115234 +1994,1,0,MVA,15-17 yrs,80,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,42.894290924072266 +1994,1,0,suicide,15-17 yrs,16,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,8.578858375549316 +1994,1,0,homicide,15-17 yrs,39,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,20.910966873168945 +1994,1,0,other external,15-17 yrs,28,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,15.013002395629883 +1994,1,0,internal,15-17 yrs,35,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,18.766252517700195 +1994,1,0,all,18-20 yrs,262,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,138.11354064941406 +1994,1,0,MVA,18-20 yrs,82,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,43.226375579833984 +1994,1,0,suicide,18-20 yrs,29,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,15.287376403808594 +1994,1,0,homicide,18-20 yrs,65,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,34.264808654785156 +1994,1,0,other external,18-20 yrs,31,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.341678619384766 +1994,1,0,internal,18-20 yrs,55,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,28.99329948425293 +1994,1,0,all,21-24 yrs,371,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,141.75238037109375 +1994,1,0,MVA,21-24 yrs,110,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,42.02900695800781 +1994,1,0,suicide,21-24 yrs,44,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.811603546142578 +1994,1,0,homicide,21-24 yrs,92,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,35.15153503417969 +1994,1,0,other external,21-24 yrs,44,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.811603546142578 +1994,1,0,internal,21-24 yrs,81,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,30.948633193969727 +1995,1,0,MVA,15-17 yrs,77,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,40.3839111328125 +1995,1,0,suicide,15-17 yrs,28,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,14.685057640075684 +1995,1,0,homicide,15-17 yrs,34,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,17.83185577392578 +1995,1,0,other external,15-17 yrs,17,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,8.91592788696289 +1995,1,0,internal,15-17 yrs,36,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,18.880788803100586 +1995,1,0,all,18-20 yrs,243,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,127.30110931396484 +1995,1,0,MVA,18-20 yrs,103,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,53.95890808105469 +1995,1,0,suicide,18-20 yrs,22,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,11.525203704833984 +1995,1,0,homicide,18-20 yrs,43,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,22.526535034179688 +1995,1,0,other external,18-20 yrs,29,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,15.192314147949219 +1995,1,0,internal,18-20 yrs,46,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,24.09815216064453 +1995,1,0,all,21-24 yrs,362,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,142.6218719482422 +1995,1,0,MVA,21-24 yrs,117,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,46.09601974487305 +1995,1,0,suicide,21-24 yrs,40,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,15.759324073791504 +1995,1,0,homicide,21-24 yrs,70,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,27.578815460205078 +1995,1,0,other external,21-24 yrs,43,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,16.941272735595703 +1995,1,0,internal,21-24 yrs,92,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,36.24644470214844 +1996,1,0,MVA,15-17 yrs,71,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,36.95606994628906 +1996,1,0,suicide,15-17 yrs,14,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,7.287112236022949 +1996,1,0,homicide,15-17 yrs,21,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.930667877197266 +1996,1,0,other external,15-17 yrs,21,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.930667877197266 +1996,1,0,internal,15-17 yrs,35,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,18.21778106689453 +1996,1,0,all,18-20 yrs,247,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,128.85052490234375 +1996,1,0,MVA,18-20 yrs,103,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,53.73118591308594 +1996,1,0,suicide,18-20 yrs,17,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,8.868254661560059 +1996,1,0,homicide,18-20 yrs,53,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,27.648086547851562 +1996,1,0,other external,18-20 yrs,27,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.084874153137207 +1996,1,0,internal,18-20 yrs,47,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,24.51811408996582 +1996,1,0,all,21-24 yrs,352,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,143.2489776611328 +1996,1,0,MVA,21-24 yrs,123,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,50.05575180053711 +1996,1,0,suicide,21-24 yrs,35,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.243507385253906 +1996,1,0,homicide,21-24 yrs,67,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,27.266141891479492 +1996,1,0,other external,21-24 yrs,31,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,12.615677833557129 +1996,1,0,internal,21-24 yrs,96,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,39.06790542602539 +1970,2,0.24151089787483215,MVA,15-17 yrs,15,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,88.9943618774414 +1970,2,0.24151089787483215,suicide,15-17 yrs,0,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,0 +1970,2,0.24151089787483215,homicide,15-17 yrs,1,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,5.932957649230957 +1970,2,0.24151089787483215,other external,15-17 yrs,12,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,71.19548797607422 +1970,2,0.24151089787483215,internal,15-17 yrs,3,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,17.798871994018555 +1970,2,0.24151089787483215,all,18-20 yrs,53,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,297.7862548828125 +1970,2,0.24151089787483215,MVA,18-20 yrs,11,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,61.8046989440918 +1970,2,0.24151089787483215,suicide,18-20 yrs,4,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,22.474435806274414 +1970,2,0.24151089787483215,homicide,18-20 yrs,1,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,5.6186089515686035 +1970,2,0.24151089787483215,other external,18-20 yrs,28,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,157.321044921875 +1970,2,0.24151089787483215,internal,18-20 yrs,9,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,50.56747817993164 +1970,2,0.24151089787483215,all,21-24 yrs,86,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,293.72589111328125 +1970,2,0.24151089787483215,MVA,21-24 yrs,21,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,71.72376251220703 +1970,2,0.24151089787483215,suicide,21-24 yrs,7,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,23.907920837402344 +1970,2,0.24151089787483215,homicide,21-24 yrs,5,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,17.077085494995117 +1970,2,0.24151089787483215,other external,21-24 yrs,42,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,143.44752502441406 +1970,2,0.24151089787483215,internal,21-24 yrs,11,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,37.56958770751953 +1971,2,0.7000848054885864,MVA,15-17 yrs,5,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,26.6979923248291 +1971,2,0.7000848054885864,suicide,15-17 yrs,2,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,10.679197311401367 +1971,2,0.7000848054885864,homicide,15-17 yrs,2,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,10.679197311401367 +1971,2,0.7000848054885864,other external,15-17 yrs,23,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,122.8107681274414 +1971,2,0.7000848054885864,internal,15-17 yrs,0,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,0 +1971,2,0.7000848054885864,all,18-20 yrs,47,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,249.04620361328125 +1971,2,0.7000848054885864,MVA,18-20 yrs,7,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,37.09198760986328 +1971,2,0.7000848054885864,suicide,18-20 yrs,5,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,26.494277954101562 +1971,2,0.7000848054885864,homicide,18-20 yrs,4,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,21.19542121887207 +1971,2,0.7000848054885864,other external,18-20 yrs,28,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,148.36795043945312 +1971,2,0.7000848054885864,internal,18-20 yrs,3,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,15.896566390991211 +1971,2,0.7000848054885864,all,21-24 yrs,62,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,229.77430725097656 +1971,2,0.7000848054885864,MVA,21-24 yrs,8,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,29.648296356201172 +1971,2,0.7000848054885864,suicide,21-24 yrs,5,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,18.53018569946289 +1971,2,0.7000848054885864,homicide,21-24 yrs,3,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,11.118111610412598 +1971,2,0.7000848054885864,other external,21-24 yrs,39,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,144.5354461669922 +1971,2,0.7000848054885864,internal,21-24 yrs,7,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,25.9422607421875 +1972,2,0.7017737030982971,MVA,15-17 yrs,14,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,69.877716064453125 +1972,2,0.7017737030982971,suicide,15-17 yrs,2,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.98253059387207 +1972,2,0.7017737030982971,homicide,15-17 yrs,0,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,0 +1972,2,0.7017737030982971,other external,15-17 yrs,22,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,109.8078384399414 +1972,2,0.7017737030982971,internal,15-17 yrs,2,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.98253059387207 +1972,2,0.7017737030982971,all,18-20 yrs,42,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,201.34228515625 +1972,2,0.7017737030982971,MVA,18-20 yrs,10,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,47.938636779785156 +1972,2,0.7017737030982971,suicide,18-20 yrs,6,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,28.76318359375 +1972,2,0.7017737030982971,homicide,18-20 yrs,0,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,0 +1972,2,0.7017737030982971,other external,18-20 yrs,24,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,115.052734375 +1972,2,0.7017737030982971,internal,18-20 yrs,2,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.587727546691895 +1972,2,0.7017737030982971,all,21-24 yrs,64,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,259.8351745605469 +1972,2,0.7017737030982971,MVA,21-24 yrs,12,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,48.719093322753906 +1972,2,0.7017737030982971,suicide,21-24 yrs,14,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,56.83894348144531 +1972,2,0.7017737030982971,homicide,21-24 yrs,4,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,16.23969841003418 +1972,2,0.7017737030982971,other external,21-24 yrs,32,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,129.91758728027344 +1972,2,0.7017737030982971,internal,21-24 yrs,2,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,8.11984920501709 +1973,2,0.70670318603515625,MVA,15-17 yrs,6,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.839221954345703 +1973,2,0.70670318603515625,suicide,15-17 yrs,3,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,14.419610977172852 +1973,2,0.70670318603515625,homicide,15-17 yrs,0,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,0 +1973,2,0.70670318603515625,other external,15-17 yrs,16,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,76.90458679199219 +1973,2,0.70670318603515625,internal,15-17 yrs,6,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.839221954345703 +1973,2,0.70670318603515625,all,18-20 yrs,51,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,225.20533752441406 +1973,2,0.70670318603515625,MVA,18-20 yrs,13,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,57.40528106689453 +1973,2,0.70670318603515625,suicide,18-20 yrs,10,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,44.15790939331055 +1973,2,0.70670318603515625,homicide,18-20 yrs,3,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,13.2473726272583 +1973,2,0.70670318603515625,other external,18-20 yrs,22,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,97.14739990234375 +1973,2,0.70670318603515625,internal,18-20 yrs,3,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,13.2473726272583 +1973,2,0.70670318603515625,all,21-24 yrs,64,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,258.8577880859375 +1973,2,0.70670318603515625,MVA,21-24 yrs,9,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,36.401878356933594 +1973,2,0.70670318603515625,suicide,21-24 yrs,10,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,40.446529388427734 +1973,2,0.70670318603515625,homicide,21-24 yrs,5,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,20.223264694213867 +1973,2,0.70670318603515625,other external,21-24 yrs,33,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,133.47354125976562 +1973,2,0.70670318603515625,internal,21-24 yrs,7,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.312570571899414 +1974,2,0.7087494730949402,MVA,15-17 yrs,10,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,45.61419677734375 +1974,2,0.7087494730949402,suicide,15-17 yrs,1,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,4.561419486999512 +1974,2,0.7087494730949402,homicide,15-17 yrs,0,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,0 +1974,2,0.7087494730949402,other external,15-17 yrs,15,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,68.421295166015625 +1974,2,0.7087494730949402,internal,15-17 yrs,5,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,22.807098388671875 +1974,2,0.7087494730949402,all,18-20 yrs,56,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,239.0098114013672 +1974,2,0.7087494730949402,MVA,18-20 yrs,8,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,34.14426040649414 +1974,2,0.7087494730949402,suicide,18-20 yrs,9,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,38.41229248046875 +1974,2,0.7087494730949402,homicide,18-20 yrs,1,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,4.268032550811768 +1974,2,0.7087494730949402,other external,18-20 yrs,27,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,115.23687744140625 +1974,2,0.7087494730949402,internal,18-20 yrs,11,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,46.94835662841797 +1974,2,0.7087494730949402,all,21-24 yrs,71,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,276.2108459472656 +1974,2,0.7087494730949402,MVA,21-24 yrs,7,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,27.2320556640625 +1974,2,0.7087494730949402,suicide,21-24 yrs,12,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,46.68352508544922 +1974,2,0.7087494730949402,homicide,21-24 yrs,1,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,3.890293598175049 +1974,2,0.7087494730949402,other external,21-24 yrs,45,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,175.06321716308594 +1974,2,0.7087494730949402,internal,21-24 yrs,6,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,23.34176254272461 +1975,2,0.7029412984848022,MVA,15-17 yrs,11,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,45.927101135253906 +1975,2,0.7029412984848022,suicide,15-17 yrs,2,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,8.350381851196289 +1975,2,0.7029412984848022,homicide,15-17 yrs,3,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,12.525572776794434 +1975,2,0.7029412984848022,other external,15-17 yrs,11,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,45.927101135253906 +1975,2,0.7029412984848022,internal,15-17 yrs,2,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,8.350381851196289 +1975,2,0.7029412984848022,all,18-20 yrs,60,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,234.3658447265625 +1975,2,0.7029412984848022,MVA,18-20 yrs,13,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,50.779266357421875 +1975,2,0.7029412984848022,suicide,18-20 yrs,15,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,58.591461181640625 +1975,2,0.7029412984848022,homicide,18-20 yrs,0,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,0 +1975,2,0.7029412984848022,other external,18-20 yrs,28,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,109.3707275390625 +1975,2,0.7029412984848022,internal,18-20 yrs,4,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,15.6243896484375 +1975,2,0.7029412984848022,all,21-24 yrs,103,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,338.96075439453125 +1975,2,0.7029412984848022,MVA,21-24 yrs,28,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,92.14466857910156 +1975,2,0.7029412984848022,suicide,21-24 yrs,17,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,55.944976806640625 +1975,2,0.7029412984848022,homicide,21-24 yrs,5,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,16.454404830932617 +1975,2,0.7029412984848022,other external,21-24 yrs,46,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,151.38052368164062 +1975,2,0.7029412984848022,internal,21-24 yrs,7,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,23.03616714477539 +1976,2,0.7082101702690125,MVA,15-17 yrs,6,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,23.62948989868164 +1976,2,0.7082101702690125,suicide,15-17 yrs,3,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,11.81474494934082 +1976,2,0.7082101702690125,homicide,15-17 yrs,3,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,11.81474494934082 +1976,2,0.7082101702690125,other external,15-17 yrs,9,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,35.44423294067383 +1976,2,0.7082101702690125,internal,15-17 yrs,4,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,15.752992630004883 +1976,2,0.7082101702690125,all,18-20 yrs,80,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,295.5956115722656 +1976,2,0.7082101702690125,MVA,18-20 yrs,22,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,81.2887954711914 +1976,2,0.7082101702690125,suicide,18-20 yrs,10,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,36.9494514465332 +1976,2,0.7082101702690125,homicide,18-20 yrs,7,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,25.86461639404297 +1976,2,0.7082101702690125,other external,18-20 yrs,37,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,136.71298217773438 +1976,2,0.7082101702690125,internal,18-20 yrs,4,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,14.779781341552734 +1976,2,0.7082101702690125,all,21-24 yrs,101,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,288.3078308105469 +1976,2,0.7082101702690125,MVA,21-24 yrs,28,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,79.92692565917969 +1976,2,0.7082101702690125,suicide,21-24 yrs,17,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,48.527061462402344 +1976,2,0.7082101702690125,homicide,21-24 yrs,7,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,19.981731414794922 +1976,2,0.7082101702690125,other external,21-24 yrs,34,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,97.05412292480469 +1976,2,0.7082101702690125,internal,21-24 yrs,15,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,42.8179931640625 +1977,2,0.7183303236961365,MVA,15-17 yrs,9,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,35.97553634643555 +1977,2,0.7183303236961365,suicide,15-17 yrs,5,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,19.98641014099121 +1977,2,0.7183303236961365,homicide,15-17 yrs,1,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,3.997281789779663 +1977,2,0.7183303236961365,other external,15-17 yrs,15,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,59.959228515625 +1977,2,0.7183303236961365,internal,15-17 yrs,1,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,3.997281789779663 +1977,2,0.7183303236961365,all,18-20 yrs,70,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,261.1160888671875 +1977,2,0.7183303236961365,MVA,18-20 yrs,20,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,74.60459899902344 +1977,2,0.7183303236961365,suicide,18-20 yrs,10,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,37.30229949951172 +1977,2,0.7183303236961365,homicide,18-20 yrs,0,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,0 +1977,2,0.7183303236961365,other external,18-20 yrs,29,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,108.17666625976562 +1977,2,0.7183303236961365,internal,18-20 yrs,11,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,41.032527923583984 +1977,2,0.7183303236961365,all,21-24 yrs,87,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,236.92164611816406 +1977,2,0.7183303236961365,MVA,21-24 yrs,28,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,76.25064849853516 +1977,2,0.7183303236961365,suicide,21-24 yrs,13,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,35.40208435058594 +1977,2,0.7183303236961365,homicide,21-24 yrs,3,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,8.16971206665039 +1977,2,0.7183303236961365,other external,21-24 yrs,39,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,106.20626068115234 +1977,2,0.7183303236961365,internal,21-24 yrs,4,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,10.892949104309082 +1978,2,0.7218514680862427,MVA,15-17 yrs,10,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,40.595947265625 +1978,2,0.7218514680862427,suicide,15-17 yrs,4,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,16.238378524780273 +1978,2,0.7218514680862427,homicide,15-17 yrs,3,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,12.178784370422363 +1978,2,0.7218514680862427,other external,15-17 yrs,23,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,93.37068176269531 +1978,2,0.7218514680862427,internal,15-17 yrs,3,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,12.178784370422363 +1978,2,0.7218514680862427,all,18-20 yrs,76,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,294.87078857421875 +1978,2,0.7218514680862427,MVA,18-20 yrs,16,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,62.07806396484375 +1978,2,0.7218514680862427,suicide,18-20 yrs,8,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,31.039031982421875 +1978,2,0.7218514680862427,homicide,18-20 yrs,5,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,19.399394989013672 +1978,2,0.7218514680862427,other external,18-20 yrs,40,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,155.19515991210938 +1978,2,0.7218514680862427,internal,18-20 yrs,7,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,27.15915298461914 +1978,2,0.7218514680862427,all,21-24 yrs,108,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,287.1653137207031 +1978,2,0.7218514680862427,MVA,21-24 yrs,26,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,69.13238525390625 +1978,2,0.7218514680862427,suicide,21-24 yrs,10,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,26.589380264282227 +1978,2,0.7218514680862427,homicide,21-24 yrs,15,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,39.884071350097656 +1978,2,0.7218514680862427,other external,21-24 yrs,44,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,116.99327087402344 +1978,2,0.7218514680862427,internal,21-24 yrs,13,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,34.566192626953125 +1979,2,0.6399285197257996,MVA,15-17 yrs,11,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,46.18162155151367 +1979,2,0.6399285197257996,suicide,15-17 yrs,3,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,12.594986915588379 +1979,2,0.6399285197257996,homicide,15-17 yrs,2,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,8.396657943725586 +1979,2,0.6399285197257996,other external,15-17 yrs,8,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,33.586631774902344 +1979,2,0.6399285197257996,internal,15-17 yrs,5,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,20.99164581298828 +1979,2,0.6399285197257996,all,18-20 yrs,65,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,331.88665771484375 +1979,2,0.6399285197257996,MVA,18-20 yrs,18,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,91.907073974609375 +1979,2,0.6399285197257996,suicide,18-20 yrs,6,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,30.635690689086914 +1979,2,0.6399285197257996,homicide,18-20 yrs,7,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,35.74163818359375 +1979,2,0.6399285197257996,other external,18-20 yrs,29,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,148.072509765625 +1979,2,0.6399285197257996,internal,18-20 yrs,5,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,25.529741287231445 +1979,2,0.6399285197257996,all,21-24 yrs,63,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,165.267578125 +1979,2,0.6399285197257996,MVA,21-24 yrs,5,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,13.116474151611328 +1979,2,0.6399285197257996,suicide,21-24 yrs,3,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,7.869884490966797 +1979,2,0.6399285197257996,homicide,21-24 yrs,9,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,23.60965347290039 +1979,2,0.6399285197257996,other external,21-24 yrs,44,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,115.42497253417969 +1979,2,0.6399285197257996,internal,21-24 yrs,2,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,5.246589660644531 +1980,2,0.6909536123275757,MVA,15-17 yrs,7,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,31.165130615234375 +1980,2,0.6909536123275757,suicide,15-17 yrs,1,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,4.4521613121032715 +1980,2,0.6909536123275757,homicide,15-17 yrs,2,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,8.904322624206543 +1980,2,0.6909536123275757,other external,15-17 yrs,17,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,75.6867446899414 +1980,2,0.6909536123275757,internal,15-17 yrs,4,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,17.808645248413086 +1980,2,0.6909536123275757,all,18-20 yrs,51,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,218.9687042236328 +1980,2,0.6909536123275757,MVA,18-20 yrs,7,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,30.054527282714844 +1980,2,0.6909536123275757,suicide,18-20 yrs,8,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,34.34803009033203 +1980,2,0.6909536123275757,homicide,18-20 yrs,1,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,4.293503761291504 +1980,2,0.6909536123275757,other external,18-20 yrs,32,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,137.39212036132812 +1980,2,0.6909536123275757,internal,18-20 yrs,3,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,12.880512237548828 +1980,2,0.6909536123275757,all,21-24 yrs,92,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,254.29116821289062 +1980,2,0.6909536123275757,MVA,21-24 yrs,24,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,66.336822509765625 +1980,2,0.6909536123275757,suicide,21-24 yrs,12,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,33.16841125488281 +1980,2,0.6909536123275757,homicide,21-24 yrs,4,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,11.056137084960938 +1980,2,0.6909536123275757,other external,21-24 yrs,46,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,127.14558410644531 +1980,2,0.6909536123275757,internal,21-24 yrs,6,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,16.584205627441406 +1981,2,0.6593461632728577,MVA,15-17 yrs,5,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,22.575401306152344 +1981,2,0.6593461632728577,suicide,15-17 yrs,0,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,0 +1981,2,0.6593461632728577,homicide,15-17 yrs,2,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,9.030160903930664 +1981,2,0.6593461632728577,other external,15-17 yrs,12,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,54.180965423583984 +1981,2,0.6593461632728577,internal,15-17 yrs,5,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,22.575401306152344 +1981,2,0.6593461632728577,all,18-20 yrs,49,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,203.80999755859375 +1981,2,0.6593461632728577,MVA,18-20 yrs,14,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,58.23143005371094 +1981,2,0.6593461632728577,suicide,18-20 yrs,9,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,37.43449020385742 +1981,2,0.6593461632728577,homicide,18-20 yrs,4,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,16.637550354003906 +1981,2,0.6593461632728577,other external,18-20 yrs,18,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,74.86898040771484 +1981,2,0.6593461632728577,internal,18-20 yrs,4,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,16.637550354003906 +1981,2,0.6593461632728577,all,21-24 yrs,103,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,304.130859375 +1981,2,0.6593461632728577,MVA,21-24 yrs,20,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,59.05453872680664 +1981,2,0.6593461632728577,suicide,21-24 yrs,10,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,29.52726936340332 +1981,2,0.6593461632728577,homicide,21-24 yrs,8,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,23.621814727783203 +1981,2,0.6593461632728577,other external,21-24 yrs,56,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,165.3527069091797 +1981,2,0.6593461632728577,internal,21-24 yrs,9,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,26.574541091918945 +1982,2,0.6774168610572815,MVA,15-17 yrs,3,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,13.487996101379395 +1982,2,0.6774168610572815,suicide,15-17 yrs,1,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,4.495998382568359 +1982,2,0.6774168610572815,homicide,15-17 yrs,5,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,22.479991912841797 +1982,2,0.6774168610572815,other external,15-17 yrs,24,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,107.90396881103516 +1982,2,0.6774168610572815,internal,15-17 yrs,2,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,8.991996765136719 +1982,2,0.6774168610572815,all,18-20 yrs,56,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,215.77467346191406 +1982,2,0.6774168610572815,MVA,18-20 yrs,16,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,61.649906158447266 +1982,2,0.6774168610572815,suicide,18-20 yrs,9,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,34.678070068359375 +1982,2,0.6774168610572815,homicide,18-20 yrs,6,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,23.118715286254883 +1982,2,0.6774168610572815,other external,18-20 yrs,19,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,73.20926666259766 +1982,2,0.6774168610572815,internal,18-20 yrs,6,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,23.118715286254883 +1982,2,0.6774168610572815,all,21-24 yrs,86,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,258.8568115234375 +1982,2,0.6774168610572815,MVA,21-24 yrs,11,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,33.10959243774414 +1982,2,0.6774168610572815,suicide,21-24 yrs,10,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,30.09963035583496 +1982,2,0.6774168610572815,homicide,21-24 yrs,9,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,27.08966636657715 +1982,2,0.6774168610572815,other external,21-24 yrs,49,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,147.48818969726562 +1982,2,0.6774168610572815,internal,21-24 yrs,7,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,21.069740295410156 +1983,2,0.6980699300765991,MVA,15-17 yrs,11,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,47.88646697998047 +1983,2,0.6980699300765991,suicide,15-17 yrs,2,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,8.706629753112793 +1983,2,0.6980699300765991,homicide,15-17 yrs,0,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,0 +1983,2,0.6980699300765991,other external,15-17 yrs,9,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,39.17983627319336 +1983,2,0.6980699300765991,internal,15-17 yrs,6,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,26.119890213012695 +1983,2,0.6980699300765991,all,18-20 yrs,59,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,212.16915893554688 +1983,2,0.6980699300765991,MVA,18-20 yrs,16,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,57.53739929199219 +1983,2,0.6980699300765991,suicide,18-20 yrs,8,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,28.768699645996094 +1983,2,0.6980699300765991,homicide,18-20 yrs,2,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,7.192174911499023 +1983,2,0.6980699300765991,other external,18-20 yrs,30,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,107.88262176513672 +1983,2,0.6980699300765991,internal,18-20 yrs,3,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,10.788262367248535 +1983,2,0.6980699300765991,all,21-24 yrs,101,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,300.523681640625 +1983,2,0.6980699300765991,MVA,21-24 yrs,20,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,59.509639739990234 +1983,2,0.6980699300765991,suicide,21-24 yrs,5,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,14.877409934997559 +1983,2,0.6980699300765991,homicide,21-24 yrs,5,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,14.877409934997559 +1983,2,0.6980699300765991,other external,21-24 yrs,61,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,181.50440979003906 +1983,2,0.6980699300765991,internal,21-24 yrs,10,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,29.754819869995117 +1984,2,0.5346471071243286,MVA,15-17 yrs,7,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,29.53337287902832 +1984,2,0.5346471071243286,suicide,15-17 yrs,6,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,25.314319610595703 +1984,2,0.5346471071243286,homicide,15-17 yrs,1,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,4.219053268432617 +1984,2,0.5346471071243286,other external,15-17 yrs,8,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,33.75242614746094 +1984,2,0.5346471071243286,internal,15-17 yrs,2,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,8.438106536865234 +1984,2,0.5346471071243286,all,18-20 yrs,45,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,166.6851806640625 +1984,2,0.5346471071243286,MVA,18-20 yrs,14,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,51.85761260986328 +1984,2,0.5346471071243286,suicide,18-20 yrs,8,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,29.632923126220703 +1984,2,0.5346471071243286,homicide,18-20 yrs,4,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,14.816461563110352 +1984,2,0.5346471071243286,other external,18-20 yrs,18,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,66.674072265625 +1984,2,0.5346471071243286,internal,18-20 yrs,1,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,3.704115390777588 +1984,2,0.5346471071243286,all,21-24 yrs,93,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,267.33355712890625 +1984,2,0.5346471071243286,MVA,21-24 yrs,21,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,60.36564254760742 +1984,2,0.5346471071243286,suicide,21-24 yrs,10,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,28.74554443359375 +1984,2,0.5346471071243286,homicide,21-24 yrs,9,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,25.870990753173828 +1984,2,0.5346471071243286,other external,21-24 yrs,41,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,117.85673522949219 +1984,2,0.5346471071243286,internal,21-24 yrs,12,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,34.494651794433594 +1985,2,0.1824607104063034,MVA,15-17 yrs,6,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,24.076080322265625 +1985,2,0.1824607104063034,suicide,15-17 yrs,5,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,20.063400268554688 +1985,2,0.1824607104063034,homicide,15-17 yrs,0,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,0 +1985,2,0.1824607104063034,other external,15-17 yrs,10,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,40.126800537109375 +1985,2,0.1824607104063034,internal,15-17 yrs,2,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,8.025360107421875 +1985,2,0.1824607104063034,all,18-20 yrs,47,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,183.07884216308594 +1985,2,0.1824607104063034,MVA,18-20 yrs,15,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,58.42941665649414 +1985,2,0.1824607104063034,suicide,18-20 yrs,8,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,31.162355422973633 +1985,2,0.1824607104063034,homicide,18-20 yrs,3,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,11.685883522033691 +1985,2,0.1824607104063034,other external,18-20 yrs,19,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,74.0105972290039 +1985,2,0.1824607104063034,internal,18-20 yrs,2,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,7.790588855743408 +1985,2,0.1824607104063034,all,21-24 yrs,78,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,216.90164184570312 +1985,2,0.1824607104063034,MVA,21-24 yrs,20,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,55.615806579589844 +1985,2,0.1824607104063034,suicide,21-24 yrs,7,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,19.465532302856445 +1985,2,0.1824607104063034,homicide,21-24 yrs,3,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,8.342370986938477 +1985,2,0.1824607104063034,other external,21-24 yrs,38,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,105.67002868652344 +1985,2,0.1824607104063034,internal,21-24 yrs,10,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,27.807903289794922 +1986,2,0,MVA,15-17 yrs,7,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,26.80451774597168 +1986,2,0,suicide,15-17 yrs,2,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,7.65843391418457 +1986,2,0,homicide,15-17 yrs,4,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,15.31686782836914 +1986,2,0,other external,15-17 yrs,16,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,61.26747131347656 +1986,2,0,internal,15-17 yrs,4,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,15.31686782836914 +1986,2,0,all,18-20 yrs,49,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,200.75384521484375 +1986,2,0,MVA,18-20 yrs,7,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,28.679121017456055 +1986,2,0,suicide,18-20 yrs,6,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,24.582103729248047 +1986,2,0,homicide,18-20 yrs,1,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,4.097017288208008 +1986,2,0,other external,18-20 yrs,23,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,94.23139953613281 +1986,2,0,internal,18-20 yrs,12,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,49.164207458496094 +1986,2,0,all,21-24 yrs,77,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,206.43431091308594 +1986,2,0,MVA,21-24 yrs,15,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,40.2144775390625 +1986,2,0,suicide,21-24 yrs,12,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,32.17158126831055 +1986,2,0,homicide,21-24 yrs,10,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,26.80965232849121 +1986,2,0,other external,21-24 yrs,34,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,91.15281677246094 +1986,2,0,internal,21-24 yrs,6,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,16.085790634155273 +1987,2,0,MVA,15-17 yrs,6,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,23.33087158203125 +1987,2,0,suicide,15-17 yrs,7,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,27.219348907470703 +1987,2,0,homicide,15-17 yrs,1,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,3.8884785175323486 +1987,2,0,other external,15-17 yrs,5,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,19.442392349243164 +1987,2,0,internal,15-17 yrs,4,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,15.553914070129395 +1987,2,0,all,18-20 yrs,27,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,117.38109588623047 +1987,2,0,MVA,18-20 yrs,5,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,21.737239837646484 +1987,2,0,suicide,18-20 yrs,6,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,26.084688186645508 +1987,2,0,homicide,18-20 yrs,0,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,0 +1987,2,0,other external,18-20 yrs,11,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,47.821929931640625 +1987,2,0,internal,18-20 yrs,5,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,21.737239837646484 +1987,2,0,all,21-24 yrs,70,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,191.20980834960938 +1987,2,0,MVA,21-24 yrs,9,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,24.584117889404297 +1987,2,0,suicide,21-24 yrs,15,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,40.97352981567383 +1987,2,0,homicide,21-24 yrs,6,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,16.38941192626953 +1987,2,0,other external,21-24 yrs,26,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,71.02079010009766 +1987,2,0,internal,21-24 yrs,14,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,38.24196243286133 +1988,2,0,MVA,15-17 yrs,5,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,20.46999168395996 +1988,2,0,suicide,15-17 yrs,7,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,28.657987594604492 +1988,2,0,homicide,15-17 yrs,1,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,4.093998432159424 +1988,2,0,other external,15-17 yrs,9,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,36.845985412597656 +1988,2,0,internal,15-17 yrs,6,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,24.563989639282227 +1988,2,0,all,18-20 yrs,32,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,138.77444458007812 +1988,2,0,MVA,18-20 yrs,12,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,52.0404167175293 +1988,2,0,suicide,18-20 yrs,5,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,21.683507919311523 +1988,2,0,homicide,18-20 yrs,1,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,4.336701393127441 +1988,2,0,other external,18-20 yrs,12,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,52.0404167175293 +1988,2,0,internal,18-20 yrs,2,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,8.673402786254883 +1988,2,0,all,21-24 yrs,65,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,183.65731811523438 +1988,2,0,MVA,21-24 yrs,12,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,33.905967712402344 +1988,2,0,suicide,21-24 yrs,12,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,33.905967712402344 +1988,2,0,homicide,21-24 yrs,6,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,16.952983856201172 +1988,2,0,other external,21-24 yrs,25,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,70.63743591308594 +1988,2,0,internal,21-24 yrs,10,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,28.254972457885742 +1989,2,0,MVA,15-17 yrs,7,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,30.370080947875977 +1989,2,0,suicide,15-17 yrs,10,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,43.38582992553711 +1989,2,0,homicide,15-17 yrs,2,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.677165985107422 +1989,2,0,other external,15-17 yrs,12,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,52.06299591064453 +1989,2,0,internal,15-17 yrs,2,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.677165985107422 +1989,2,0,all,18-20 yrs,45,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,192.02047729492188 +1989,2,0,MVA,18-20 yrs,8,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,34.1369743347168 +1989,2,0,suicide,18-20 yrs,9,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,38.40409469604492 +1989,2,0,homicide,18-20 yrs,2,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.5342435836792 +1989,2,0,other external,18-20 yrs,24,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,102.41092681884766 +1989,2,0,internal,18-20 yrs,2,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.5342435836792 +1989,2,0,all,21-24 yrs,64,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,186.1385040283203 +1989,2,0,MVA,21-24 yrs,4,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,11.63365650177002 +1989,2,0,suicide,21-24 yrs,15,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,43.6262092590332 +1989,2,0,homicide,21-24 yrs,3,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.725241661071777 +1989,2,0,other external,21-24 yrs,35,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,101.79449462890625 +1989,2,0,internal,21-24 yrs,7,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,20.358898162841797 +1990,2,0,MVA,15-17 yrs,5,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.7580509185791 +1990,2,0,suicide,15-17 yrs,4,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,17.40644073486328 +1990,2,0,homicide,15-17 yrs,2,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,8.70322036743164 +1990,2,0,other external,15-17 yrs,11,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,47.86771011352539 +1990,2,0,internal,15-17 yrs,4,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,17.40644073486328 +1990,2,0,all,18-20 yrs,43,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,185.68096923828125 +1990,2,0,MVA,18-20 yrs,5,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.590810775756836 +1990,2,0,suicide,18-20 yrs,6,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,25.908973693847656 +1990,2,0,homicide,18-20 yrs,3,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,12.954486846923828 +1990,2,0,other external,18-20 yrs,24,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,103.63589477539062 +1990,2,0,internal,18-20 yrs,5,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.590810775756836 +1990,2,0,all,21-24 yrs,66,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,200.949951171875 +1990,2,0,MVA,21-24 yrs,10,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,30.44696044921875 +1990,2,0,suicide,21-24 yrs,15,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,45.670440673828125 +1990,2,0,homicide,21-24 yrs,4,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,12.178784370422363 +1990,2,0,other external,21-24 yrs,28,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,85.251495361328125 +1990,2,0,internal,21-24 yrs,9,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,27.402265548706055 +1991,2,0,MVA,15-17 yrs,3,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.595516204833984 +1991,2,0,suicide,15-17 yrs,6,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,25.19103240966797 +1991,2,0,homicide,15-17 yrs,3,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.595516204833984 +1991,2,0,other external,15-17 yrs,13,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,54.580570220947266 +1991,2,0,internal,15-17 yrs,2,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,8.397010803222656 +1991,2,0,all,18-20 yrs,46,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,190.5787811279297 +1991,2,0,MVA,18-20 yrs,12,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,49.71620178222656 +1991,2,0,suicide,18-20 yrs,11,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,45.573184967041016 +1991,2,0,homicide,18-20 yrs,3,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.42905044555664 +1991,2,0,other external,18-20 yrs,12,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,49.71620178222656 +1991,2,0,internal,18-20 yrs,8,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,33.144134521484375 +1991,2,0,all,21-24 yrs,58,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,182.2695770263672 +1991,2,0,MVA,21-24 yrs,13,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,40.85352325439453 +1991,2,0,suicide,21-24 yrs,7,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,21.998050689697266 +1991,2,0,homicide,21-24 yrs,5,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,15.712894439697266 +1991,2,0,other external,21-24 yrs,26,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,81.70704650878906 +1991,2,0,internal,21-24 yrs,7,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,21.998050689697266 +1992,2,0,MVA,15-17 yrs,5,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,19.9449520111084 +1992,2,0,suicide,15-17 yrs,6,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,23.933942794799805 +1992,2,0,homicide,15-17 yrs,0,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,0 +1992,2,0,other external,15-17 yrs,9,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,35.90091323852539 +1992,2,0,internal,15-17 yrs,2,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,7.977980613708496 +1992,2,0,all,18-20 yrs,52,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,199.58547973632812 +1992,2,0,MVA,18-20 yrs,13,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,49.89636993408203 +1992,2,0,suicide,18-20 yrs,7,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,26.86727523803711 +1992,2,0,homicide,18-20 yrs,3,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,11.514546394348145 +1992,2,0,other external,18-20 yrs,25,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,95.954559326171875 +1992,2,0,internal,18-20 yrs,4,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,15.352728843688965 +1992,2,0,all,21-24 yrs,73,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,228.21058654785156 +1992,2,0,MVA,21-24 yrs,17,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,53.144927978515625 +1992,2,0,suicide,21-24 yrs,13,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,40.64023971557617 +1992,2,0,homicide,21-24 yrs,7,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,21.88320541381836 +1992,2,0,other external,21-24 yrs,27,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,84.40665435791016 +1992,2,0,internal,21-24 yrs,9,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,28.13555145263672 +1993,2,0,MVA,15-17 yrs,8,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,30.701923370361328 +1993,2,0,suicide,15-17 yrs,12,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,46.05288314819336 +1993,2,0,homicide,15-17 yrs,1,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,3.837740421295166 +1993,2,0,other external,15-17 yrs,9,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,34.5396614074707 +1993,2,0,internal,15-17 yrs,3,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,11.51322078704834 +1993,2,0,all,18-20 yrs,29,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,105.13340759277344 +1993,2,0,MVA,18-20 yrs,4,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,14.50115966796875 +1993,2,0,suicide,18-20 yrs,13,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,47.12876892089844 +1993,2,0,homicide,18-20 yrs,3,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,10.875869750976562 +1993,2,0,other external,18-20 yrs,7,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,25.377029418945312 +1993,2,0,internal,18-20 yrs,2,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,7.250579833984375 +1993,2,0,all,21-24 yrs,46,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,141.80899047851562 +1993,2,0,MVA,21-24 yrs,12,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,36.993648529052734 +1993,2,0,suicide,21-24 yrs,8,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,24.662433624267578 +1993,2,0,homicide,21-24 yrs,2,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,6.1656084060668945 +1993,2,0,other external,21-24 yrs,11,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,33.91084671020508 +1993,2,0,internal,21-24 yrs,13,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,40.076454162597656 +1994,2,0,MVA,15-17 yrs,3,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,11.00675106048584 +1994,2,0,suicide,15-17 yrs,9,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,33.0202522277832 +1994,2,0,homicide,15-17 yrs,3,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,11.00675106048584 +1994,2,0,other external,15-17 yrs,8,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,29.351335525512695 +1994,2,0,internal,15-17 yrs,1,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,3.668916940689087 +1994,2,0,all,18-20 yrs,43,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,153.1502685546875 +1994,2,0,MVA,18-20 yrs,11,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,39.177974700927734 +1994,2,0,suicide,18-20 yrs,10,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,35.61634063720703 +1994,2,0,homicide,18-20 yrs,5,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,17.808170318603516 +1994,2,0,other external,18-20 yrs,10,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,35.61634063720703 +1994,2,0,internal,18-20 yrs,7,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,24.931438446044922 +1994,2,0,all,21-24 yrs,51,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,154.4378204345703 +1994,2,0,MVA,21-24 yrs,6,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,18.16915512084961 +1994,2,0,suicide,21-24 yrs,15,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,45.42288589477539 +1994,2,0,homicide,21-24 yrs,5,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,15.140962600708008 +1994,2,0,other external,21-24 yrs,16,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,48.451080322265625 +1994,2,0,internal,21-24 yrs,9,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,27.253732681274414 +1995,2,0,MVA,15-17 yrs,4,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,14.187416076660156 +1995,2,0,suicide,15-17 yrs,5,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.734270095825195 +1995,2,0,homicide,15-17 yrs,2,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,7.093708038330078 +1995,2,0,other external,15-17 yrs,3,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,10.640562057495117 +1995,2,0,internal,15-17 yrs,2,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,7.093708038330078 +1995,2,0,all,18-20 yrs,33,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,113.89521789550781 +1995,2,0,MVA,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,suicide,18-20 yrs,7,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,24.159591674804688 +1995,2,0,homicide,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,other external,18-20 yrs,8,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,27.6109619140625 +1995,2,0,internal,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,all,21-24 yrs,49,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,146.47853088378906 +1995,2,0,MVA,21-24 yrs,6,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.936147689819336 +1995,2,0,suicide,21-24 yrs,12,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,35.87229537963867 +1995,2,0,homicide,21-24 yrs,3,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,8.968073844909668 +1995,2,0,other external,21-24 yrs,22,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,65.76587677001953 +1995,2,0,internal,21-24 yrs,6,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.936147689819336 +1996,2,0,MVA,15-17 yrs,10,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,33.90175247192383 +1996,2,0,suicide,15-17 yrs,9,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.511577606201172 +1996,2,0,homicide,15-17 yrs,3,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,10.170525550842285 +1996,2,0,other external,15-17 yrs,10,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,33.90175247192383 +1996,2,0,internal,15-17 yrs,5,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,16.950876235961914 +1996,2,0,all,18-20 yrs,26,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,86.90129852294922 +1996,2,0,MVA,18-20 yrs,4,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,13.369430541992188 +1996,2,0,suicide,18-20 yrs,9,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.081218719482422 +1996,2,0,homicide,18-20 yrs,2,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,6.684715270996094 +1996,2,0,other external,18-20 yrs,9,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.081218719482422 +1996,2,0,internal,18-20 yrs,2,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,6.684715270996094 +1996,2,0,all,21-24 yrs,55,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,158.2141876220703 +1996,2,0,MVA,21-24 yrs,10,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,28.766216278076172 +1996,2,0,suicide,21-24 yrs,14,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,40.272705078125 +1996,2,0,homicide,21-24 yrs,6,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,17.259729385375977 +1996,2,0,other external,21-24 yrs,18,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,51.77919006347656 +1996,2,0,internal,21-24 yrs,7,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,20.1363525390625 +1970,4,0,MVA,15-17 yrs,40,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,37.463706970214844 +1970,4,0,suicide,15-17 yrs,5,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,4.6829633712768555 +1970,4,0,homicide,15-17 yrs,8,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,7.492741584777832 +1970,4,0,other external,15-17 yrs,38,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,35.59052276611328 +1970,4,0,internal,15-17 yrs,34,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,31.84415054321289 +1970,4,0,all,18-20 yrs,178,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,183.96221923828125 +1970,4,0,MVA,18-20 yrs,82,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,84.74663543701172 +1970,4,0,suicide,18-20 yrs,14,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,14.468937873840332 +1970,4,0,homicide,18-20 yrs,10,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,10.334956169128418 +1970,4,0,other external,18-20 yrs,38,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,39.272830963134766 +1970,4,0,internal,18-20 yrs,34,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,35.138851165771484 +1970,4,0,all,21-24 yrs,242,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,209.8654022216797 +1970,4,0,MVA,21-24 yrs,108,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,93.65894317626953 +1970,4,0,suicide,21-24 yrs,26,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,22.547523498535156 +1970,4,0,homicide,21-24 yrs,16,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,13.875398635864258 +1970,4,0,other external,21-24 yrs,42,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,36.42292404174805 +1970,4,0,internal,21-24 yrs,50,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,43.36062240600586 +1971,4,0,MVA,15-17 yrs,69,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,59.89635467529297 +1971,4,0,suicide,15-17 yrs,8,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,6.944504737854004 +1971,4,0,homicide,15-17 yrs,5,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,4.340315341949463 +1971,4,0,other external,15-17 yrs,34,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,29.514144897460938 +1971,4,0,internal,15-17 yrs,34,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,29.514144897460938 +1971,4,0,all,18-20 yrs,218,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,206.71148681640625 +1971,4,0,MVA,18-20 yrs,86,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,81.5467300415039 +1971,4,0,suicide,18-20 yrs,32,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,30.34296989440918 +1971,4,0,homicide,18-20 yrs,9,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,8.533960342407227 +1971,4,0,other external,18-20 yrs,45,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,42.669803619384766 +1971,4,0,internal,18-20 yrs,46,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,43.618019104003906 +1971,4,0,all,21-24 yrs,255,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,192.8560028076172 +1971,4,0,MVA,21-24 yrs,90,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,68.06682586669922 +1971,4,0,suicide,21-24 yrs,36,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,27.226730346679688 +1971,4,0,homicide,21-24 yrs,16,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,12.10076904296875 +1971,4,0,other external,21-24 yrs,48,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,36.30230712890625 +1971,4,0,internal,21-24 yrs,65,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,49.15937423706055 +1972,4,0.27738747000694275,MVA,15-17 yrs,48,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,38.828041076660156 +1972,4,0.27738747000694275,suicide,15-17 yrs,14,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,11.324845314025879 +1972,4,0.27738747000694275,homicide,15-17 yrs,8,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,6.471340179443359 +1972,4,0.27738747000694275,other external,15-17 yrs,32,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,25.885360717773438 +1972,4,0.27738747000694275,internal,15-17 yrs,26,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,21.0318546295166 +1972,4,0.27738747000694275,all,18-20 yrs,220,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,194.0719757080078 +1972,4,0.27738747000694275,MVA,18-20 yrs,104,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,91.74311828613281 +1972,4,0.27738747000694275,suicide,18-20 yrs,16,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,14.114326477050781 +1972,4,0.27738747000694275,homicide,18-20 yrs,24,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,21.171489715576172 +1972,4,0.27738747000694275,other external,18-20 yrs,32,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,28.228652954101562 +1972,4,0.27738747000694275,internal,18-20 yrs,44,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,38.814395904541016 +1972,4,0.27738747000694275,all,21-24 yrs,264,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,189.98545837402344 +1972,4,0.27738747000694275,MVA,21-24 yrs,84,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,60.449920654296875 +1972,4,0.27738747000694275,suicide,21-24 yrs,42,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,30.224960327148438 +1972,4,0.27738747000694275,homicide,21-24 yrs,14,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,10.074986457824707 +1972,4,0.27738747000694275,other external,21-24 yrs,60,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,43.17851257324219 +1972,4,0.27738747000694275,internal,21-24 yrs,64,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,46.05708312988281 +1973,4,0.664995014667511,MVA,15-17 yrs,79,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,59.80272674560547 +1973,4,0.664995014667511,suicide,15-17 yrs,3,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,2.2709896564483643 +1973,4,0.664995014667511,homicide,15-17 yrs,5,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,3.784982681274414 +1973,4,0.664995014667511,other external,15-17 yrs,29,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,21.952899932861328 +1973,4,0.664995014667511,internal,15-17 yrs,25,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.92491340637207 +1973,4,0.664995014667511,all,18-20 yrs,276,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,227.27833557128906 +1973,4,0.664995014667511,MVA,18-20 yrs,130,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,107.0513916015625 +1973,4,0.664995014667511,suicide,18-20 yrs,22,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.116390228271484 +1973,4,0.664995014667511,homicide,18-20 yrs,22,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.116390228271484 +1973,4,0.664995014667511,other external,18-20 yrs,57,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,46.93791961669922 +1973,4,0.664995014667511,internal,18-20 yrs,45,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,37.056251525878906 +1973,4,0.664995014667511,all,21-24 yrs,332,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,223.94000244140625 +1973,4,0.664995014667511,MVA,21-24 yrs,133,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,89.71089935302734 +1973,4,0.664995014667511,suicide,21-24 yrs,40,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,26.980722427368164 +1973,4,0.664995014667511,homicide,21-24 yrs,28,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.886505126953125 +1973,4,0.664995014667511,other external,21-24 yrs,68,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,45.86722946166992 +1973,4,0.664995014667511,internal,21-24 yrs,63,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,42.49463653564453 +1974,4,0.6677368879318237,MVA,15-17 yrs,51,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,36.763912200927734 +1974,4,0.6677368879318237,suicide,15-17 yrs,15,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,10.812914848327637 +1974,4,0.6677368879318237,homicide,15-17 yrs,9,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,6.487749099731445 +1974,4,0.6677368879318237,other external,15-17 yrs,33,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,23.78841209411621 +1974,4,0.6677368879318237,internal,15-17 yrs,38,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,27.392717361450195 +1974,4,0.6677368879318237,all,18-20 yrs,277,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,214.8236083984375 +1974,4,0.6677368879318237,MVA,18-20 yrs,109,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,84.533477783203125 +1974,4,0.6677368879318237,suicide,18-20 yrs,26,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,20.16394805908203 +1974,4,0.6677368879318237,homicide,18-20 yrs,28,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,21.71502113342285 +1974,4,0.6677368879318237,other external,18-20 yrs,74,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,57.38969802856445 +1974,4,0.6677368879318237,internal,18-20 yrs,40,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,31.021459579467773 +1974,4,0.6677368879318237,all,21-24 yrs,323,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,206.10662841796875 +1974,4,0.6677368879318237,MVA,21-24 yrs,100,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,63.81010055541992 +1974,4,0.6677368879318237,suicide,21-24 yrs,52,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,33.181251525878906 +1974,4,0.6677368879318237,homicide,21-24 yrs,33,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,21.05733299255371 +1974,4,0.6677368879318237,other external,21-24 yrs,79,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,50.40998077392578 +1974,4,0.6677368879318237,internal,21-24 yrs,59,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,37.6479606628418 +1975,4,0.6632464528083801,MVA,15-17 yrs,53,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,37.69157028198242 +1975,4,0.6632464528083801,suicide,15-17 yrs,10,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,7.111616611480713 +1975,4,0.6632464528083801,homicide,15-17 yrs,9,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,6.400454998016357 +1975,4,0.6632464528083801,other external,15-17 yrs,27,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,19.201364517211914 +1975,4,0.6632464528083801,internal,15-17 yrs,27,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,19.201364517211914 +1975,4,0.6632464528083801,all,18-20 yrs,245,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,182.29437255859375 +1975,4,0.6632464528083801,MVA,18-20 yrs,95,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,70.685577392578125 +1975,4,0.6632464528083801,suicide,18-20 yrs,34,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,25.29799461364746 +1975,4,0.6632464528083801,homicide,18-20 yrs,23,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,17.11334991455078 +1975,4,0.6632464528083801,other external,18-20 yrs,41,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,30.506406784057617 +1975,4,0.6632464528083801,internal,18-20 yrs,52,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,38.6910514831543 +1975,4,0.6632464528083801,all,21-24 yrs,322,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,196.1166534423828 +1975,4,0.6632464528083801,MVA,21-24 yrs,85,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,51.76992416381836 +1975,4,0.6632464528083801,suicide,21-24 yrs,48,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,29.234779357910156 +1975,4,0.6632464528083801,homicide,21-24 yrs,30,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,18.271738052368164 +1975,4,0.6632464528083801,other external,21-24 yrs,67,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,40.806880950927734 +1975,4,0.6632464528083801,internal,21-24 yrs,92,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,56.033329010009766 +1976,4,0.6716262698173523,MVA,15-17 yrs,58,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,40.62307357788086 +1976,4,0.6716262698173523,suicide,15-17 yrs,6,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,4.202386856079102 +1976,4,0.6716262698173523,homicide,15-17 yrs,5,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,3.5019891262054443 +1976,4,0.6716262698173523,other external,15-17 yrs,25,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,17.509944915771484 +1976,4,0.6716262698173523,internal,15-17 yrs,23,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,16.109149932861328 +1976,4,0.6716262698173523,all,18-20 yrs,235,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,168.42617797851562 +1976,4,0.6716262698173523,MVA,18-20 yrs,101,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,72.387420654296875 +1976,4,0.6716262698173523,suicide,18-20 yrs,22,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,15.767557144165039 +1976,4,0.6716262698173523,homicide,18-20 yrs,20,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,14.33414363861084 +1976,4,0.6716262698173523,other external,18-20 yrs,44,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,31.535114288330078 +1976,4,0.6716262698173523,internal,18-20 yrs,48,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,34.40194320678711 +1976,4,0.6716262698173523,all,21-24 yrs,294,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,172.04754638671875 +1976,4,0.6716262698173523,MVA,21-24 yrs,109,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,63.78633499145508 +1976,4,0.6716262698173523,suicide,21-24 yrs,41,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,23.993024826049805 +1976,4,0.6716262698173523,homicide,21-24 yrs,18,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,10.533522605895996 +1976,4,0.6716262698173523,other external,21-24 yrs,68,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,39.79330825805664 +1976,4,0.6716262698173523,internal,21-24 yrs,58,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,33.94135284423828 +1977,4,0.678782045841217,MVA,15-17 yrs,69,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,47.63384246826172 +1977,4,0.678782045841217,suicide,15-17 yrs,19,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,13.116564750671387 +1977,4,0.678782045841217,homicide,15-17 yrs,21,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,14.4972562789917 +1977,4,0.678782045841217,other external,15-17 yrs,23,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,15.877946853637695 +1977,4,0.678782045841217,internal,15-17 yrs,24,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,16.56829261779785 +1977,4,0.678782045841217,all,18-20 yrs,249,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,172.74632263183594 +1977,4,0.678782045841217,MVA,18-20 yrs,120,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,83.25123596191406 +1977,4,0.678782045841217,suicide,18-20 yrs,36,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,24.975372314453125 +1977,4,0.678782045841217,homicide,18-20 yrs,20,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,13.875205993652344 +1977,4,0.678782045841217,other external,18-20 yrs,34,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,23.58785057067871 +1977,4,0.678782045841217,internal,18-20 yrs,39,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,27.056652069091797 +1977,4,0.678782045841217,all,21-24 yrs,336,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,188.153076171875 +1977,4,0.678782045841217,MVA,21-24 yrs,133,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,74.47725677490234 +1977,4,0.678782045841217,suicide,21-24 yrs,57,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,31.918825149536133 +1977,4,0.678782045841217,homicide,21-24 yrs,29,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,16.239402770996094 +1977,4,0.678782045841217,other external,21-24 yrs,52,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,29.118928909301758 +1977,4,0.678782045841217,internal,21-24 yrs,65,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,36.398658752441406 +1978,4,0.6793755888938904,MVA,15-17 yrs,80,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,54.84260177612305 +1978,4,0.6793755888938904,suicide,15-17 yrs,14,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,9.597455024719238 +1978,4,0.6793755888938904,homicide,15-17 yrs,14,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,9.597455024719238 +1978,4,0.6793755888938904,other external,15-17 yrs,31,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,21.251508712768555 +1978,4,0.6793755888938904,internal,15-17 yrs,28,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,19.194910049438477 +1978,4,0.6793755888938904,all,18-20 yrs,278,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,188.19642639160156 +1978,4,0.6793755888938904,MVA,18-20 yrs,139,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,94.09821319580078 +1978,4,0.6793755888938904,suicide,18-20 yrs,30,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,20.30896759033203 +1978,4,0.6793755888938904,homicide,18-20 yrs,22,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,14.893242835998535 +1978,4,0.6793755888938904,other external,18-20 yrs,45,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,30.463451385498047 +1978,4,0.6793755888938904,internal,18-20 yrs,42,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,28.432554244995117 +1978,4,0.6793755888938904,all,21-24 yrs,370,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,195.90402221679688 +1978,4,0.6793755888938904,MVA,21-24 yrs,161,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,85.244720458984375 +1978,4,0.6793755888938904,suicide,21-24 yrs,61,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,32.29768753051758 +1978,4,0.6793755888938904,homicide,21-24 yrs,40,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,21.17881202697754 +1978,4,0.6793755888938904,other external,21-24 yrs,48,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,25.414575576782227 +1978,4,0.6793755888938904,internal,21-24 yrs,60,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,31.768218994140625 +1979,4,0.6786624193191528,MVA,15-17 yrs,77,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,52.46589660644531 +1979,4,0.6786624193191528,suicide,15-17 yrs,11,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,7.495128154754639 +1979,4,0.6786624193191528,homicide,15-17 yrs,13,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,8.857878684997559 +1979,4,0.6786624193191528,other external,15-17 yrs,25,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,17.034381866455078 +1979,4,0.6786624193191528,internal,15-17 yrs,26,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,17.715757369995117 +1979,4,0.6786624193191528,all,18-20 yrs,297,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,192.99749755859375 +1979,4,0.6786624193191528,MVA,18-20 yrs,158,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,102.67207336425781 +1979,4,0.6786624193191528,suicide,18-20 yrs,33,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,21.444168090820312 +1979,4,0.6786624193191528,homicide,18-20 yrs,26,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,16.895404815673828 +1979,4,0.6786624193191528,other external,18-20 yrs,40,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.992929458618164 +1979,4,0.6786624193191528,internal,18-20 yrs,40,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.992929458618164 +1979,4,0.6786624193191528,all,21-24 yrs,344,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,171.59075927734375 +1979,4,0.6786624193191528,MVA,21-24 yrs,153,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,76.31797790527344 +1979,4,0.6786624193191528,suicide,21-24 yrs,51,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.439327239990234 +1979,4,0.6786624193191528,homicide,21-24 yrs,32,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,15.961931228637695 +1979,4,0.6786624193191528,other external,21-24 yrs,58,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,28.930999755859375 +1979,4,0.6786624193191528,internal,21-24 yrs,50,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,24.94051742553711 +1980,4,0.6830323338508606,MVA,15-17 yrs,53,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,36.204410552978516 +1980,4,0.6830323338508606,suicide,15-17 yrs,15,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,10.24653148651123 +1980,4,0.6830323338508606,homicide,15-17 yrs,15,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,10.24653148651123 +1980,4,0.6830323338508606,other external,15-17 yrs,27,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,18.443756103515625 +1980,4,0.6830323338508606,internal,15-17 yrs,29,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,19.809961318969727 +1980,4,0.6830323338508606,all,18-20 yrs,248,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,155.2872772216797 +1980,4,0.6830323338508606,MVA,18-20 yrs,109,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,68.25126647949219 +1980,4,0.6830323338508606,suicide,18-20 yrs,29,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,18.158594131469727 +1980,4,0.6830323338508606,homicide,18-20 yrs,28,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,17.532434463500977 +1980,4,0.6830323338508606,other external,18-20 yrs,45,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,28.177127838134766 +1980,4,0.6830323338508606,internal,18-20 yrs,37,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,23.16786003112793 +1980,4,0.6830323338508606,all,21-24 yrs,359,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,169.84756469726562 +1980,4,0.6830323338508606,MVA,21-24 yrs,140,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,66.2358169555664 +1980,4,0.6830323338508606,suicide,21-24 yrs,54,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,25.5481014251709 +1980,4,0.6830323338508606,homicide,21-24 yrs,43,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,20.34385871887207 +1980,4,0.6830323338508606,other external,21-24 yrs,59,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,27.913665771484375 +1980,4,0.6830323338508606,internal,21-24 yrs,63,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,29.80611801147461 +1981,4,0.6847169995307922,MVA,15-17 yrs,52,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,36.53738021850586 +1981,4,0.6847169995307922,suicide,15-17 yrs,16,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,11.242270469665527 +1981,4,0.6847169995307922,homicide,15-17 yrs,6,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,4.215851783752441 +1981,4,0.6847169995307922,other external,15-17 yrs,26,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,18.26869010925293 +1981,4,0.6847169995307922,internal,15-17 yrs,24,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,16.863407135009766 +1981,4,0.6847169995307922,all,18-20 yrs,212,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,132.99374389648438 +1981,4,0.6847169995307922,MVA,18-20 yrs,88,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,55.20494842529297 +1981,4,0.6847169995307922,suicide,18-20 yrs,30,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,18.819868087768555 +1981,4,0.6847169995307922,homicide,18-20 yrs,6,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,3.7639737129211426 +1981,4,0.6847169995307922,other external,18-20 yrs,54,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,33.875762939453125 +1981,4,0.6847169995307922,internal,18-20 yrs,34,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,21.329185485839844 +1981,4,0.6847169995307922,all,21-24 yrs,346,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,158.4430389404297 +1981,4,0.6847169995307922,MVA,21-24 yrs,144,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,65.94161224365234 +1981,4,0.6847169995307922,suicide,21-24 yrs,56,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,25.64396095275879 +1981,4,0.6847169995307922,homicide,21-24 yrs,54,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,24.728105545043945 +1981,4,0.6847169995307922,other external,21-24 yrs,44,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,20.148826599121094 +1981,4,0.6847169995307922,internal,21-24 yrs,48,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,21.98053741455078 +1982,4,0.6810897588729858,MVA,15-17 yrs,42,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,30.33388900756836 +1982,4,0.6810897588729858,suicide,15-17 yrs,14,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,10.111296653747559 +1982,4,0.6810897588729858,homicide,15-17 yrs,6,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,4.3334126472473145 +1982,4,0.6810897588729858,other external,15-17 yrs,16,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,11.555767059326172 +1982,4,0.6810897588729858,internal,15-17 yrs,26,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.778121948242188 +1982,4,0.6810897588729858,all,18-20 yrs,220,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,138.58267211914062 +1982,4,0.6810897588729858,MVA,18-20 yrs,100,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,62.99212646484375 +1982,4,0.6810897588729858,suicide,18-20 yrs,30,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.89763832092285 +1982,4,0.6810897588729858,homicide,18-20 yrs,26,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,16.377952575683594 +1982,4,0.6810897588729858,other external,18-20 yrs,26,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,16.377952575683594 +1982,4,0.6810897588729858,internal,18-20 yrs,38,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,23.937007904052734 +1982,4,0.6810897588729858,all,21-24 yrs,354,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,158.63058471679688 +1982,4,0.6810897588729858,MVA,21-24 yrs,120,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,53.77307891845703 +1982,4,0.6810897588729858,suicide,21-24 yrs,54,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,24.197885513305664 +1982,4,0.6810897588729858,homicide,21-24 yrs,42,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.82057762145996 +1982,4,0.6810897588729858,other external,21-24 yrs,54,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,24.197885513305664 +1982,4,0.6810897588729858,internal,21-24 yrs,84,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,37.64115524291992 +1983,4,0.6871956586837769,MVA,15-17 yrs,41,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,30.147502899169922 +1983,4,0.6871956586837769,suicide,15-17 yrs,17,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,12.500184059143066 +1983,4,0.6871956586837769,homicide,15-17 yrs,9,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,6.617744445800781 +1983,4,0.6871956586837769,other external,15-17 yrs,11,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,8.088354110717773 +1983,4,0.6871956586837769,internal,15-17 yrs,23,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,16.91201400756836 +1983,4,0.6871956586837769,all,18-20 yrs,197,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,124.57788848876953 +1983,4,0.6871956586837769,MVA,18-20 yrs,87,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,55.016632080078125 +1983,4,0.6871956586837769,suicide,18-20 yrs,30,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,18.97125244140625 +1983,4,0.6871956586837769,homicide,18-20 yrs,18,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,11.38275146484375 +1983,4,0.6871956586837769,other external,18-20 yrs,22,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,13.912251472473145 +1983,4,0.6871956586837769,internal,18-20 yrs,40,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,25.29500389099121 +1983,4,0.6871956586837769,all,21-24 yrs,262,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,116.31365966796875 +1983,4,0.6871956586837769,MVA,21-24 yrs,86,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,38.179290771484375 +1983,4,0.6871956586837769,suicide,21-24 yrs,45,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,19.977537155151367 +1983,4,0.6871956586837769,homicide,21-24 yrs,30,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,13.318357467651367 +1983,4,0.6871956586837769,other external,21-24 yrs,34,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,15.094138145446777 +1983,4,0.6871956586837769,internal,21-24 yrs,67,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,29.74433135986328 +1984,4,0.6938179135322571,MVA,15-17 yrs,46,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,33.23387145996094 +1984,4,0.6938179135322571,suicide,15-17 yrs,13,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,9.392181396484375 +1984,4,0.6938179135322571,homicide,15-17 yrs,11,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,7.947230339050293 +1984,4,0.6938179135322571,other external,15-17 yrs,19,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,13.727034568786621 +1984,4,0.6938179135322571,internal,15-17 yrs,24,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,17.339412689208984 +1984,4,0.6938179135322571,all,18-20 yrs,212,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,135.57501220703125 +1984,4,0.6938179135322571,MVA,18-20 yrs,123,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,78.659088134765625 +1984,4,0.6938179135322571,suicide,18-20 yrs,21,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,13.42959976196289 +1984,4,0.6938179135322571,homicide,18-20 yrs,24,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,15.348114013671875 +1984,4,0.6938179135322571,other external,18-20 yrs,18,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,11.511085510253906 +1984,4,0.6938179135322571,internal,18-20 yrs,26,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,16.627124786376953 +1984,4,0.6938179135322571,all,21-24 yrs,333,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,146.7839813232422 +1984,4,0.6938179135322571,MVA,21-24 yrs,129,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,56.86226272583008 +1984,4,0.6938179135322571,suicide,21-24 yrs,59,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,26.006771087646484 +1984,4,0.6938179135322571,homicide,21-24 yrs,35,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,15.42774486541748 +1984,4,0.6938179135322571,other external,21-24 yrs,51,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,22.48042869567871 +1984,4,0.6938179135322571,internal,21-24 yrs,59,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,26.006771087646484 +1985,4,0.5194456577301025,MVA,15-17 yrs,52,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,36.136959075927734 +1985,4,0.5194456577301025,suicide,15-17 yrs,24,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,16.67859649658203 +1985,4,0.5194456577301025,homicide,15-17 yrs,14,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,9.729181289672852 +1985,4,0.5194456577301025,other external,15-17 yrs,16,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,11.119064331054688 +1985,4,0.5194456577301025,internal,15-17 yrs,25,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,17.373537063598633 +1985,4,0.5194456577301025,all,18-20 yrs,208,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,134.20480346679688 +1985,4,0.5194456577301025,MVA,18-20 yrs,99,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,63.87632369995117 +1985,4,0.5194456577301025,suicide,18-20 yrs,29,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,18.711246490478516 +1985,4,0.5194456577301025,homicide,18-20 yrs,16,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,10.323446273803711 +1985,4,0.5194456577301025,other external,18-20 yrs,18,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,11.613877296447754 +1985,4,0.5194456577301025,internal,18-20 yrs,46,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,29.679908752441406 +1985,4,0.5194456577301025,all,21-24 yrs,315,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,137.40817260742188 +1985,4,0.5194456577301025,MVA,21-24 yrs,125,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,54.52705383300781 +1985,4,0.5194456577301025,suicide,21-24 yrs,54,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,23.555686950683594 +1985,4,0.5194456577301025,homicide,21-24 yrs,34,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,14.831358909606934 +1985,4,0.5194456577301025,other external,21-24 yrs,45,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,19.62973976135254 +1985,4,0.5194456577301025,internal,21-24 yrs,57,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,24.864336013793945 +1986,4,0.1716172993183136,MVA,15-17 yrs,77,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,51.07896041870117 +1986,4,0.1716172993183136,suicide,15-17 yrs,20,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,13.26726245880127 +1986,4,0.1716172993183136,homicide,15-17 yrs,14,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,9.287083625793457 +1986,4,0.1716172993183136,other external,15-17 yrs,18,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,11.940536499023438 +1986,4,0.1716172993183136,internal,15-17 yrs,20,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,13.26726245880127 +1986,4,0.1716172993183136,all,18-20 yrs,239,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,153.29847717285156 +1986,4,0.1716172993183136,MVA,18-20 yrs,111,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,71.19720458984375 +1986,4,0.1716172993183136,suicide,18-20 yrs,29,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,18.601070404052734 +1986,4,0.1716172993183136,homicide,18-20 yrs,32,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,20.525320053100586 +1986,4,0.1716172993183136,other external,18-20 yrs,26,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,16.676822662353516 +1986,4,0.1716172993183136,internal,18-20 yrs,41,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,26.298065185546875 +1986,4,0.1716172993183136,all,21-24 yrs,352,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,152.24913024902344 +1986,4,0.1716172993183136,MVA,21-24 yrs,130,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,56.22837448120117 +1986,4,0.1716172993183136,suicide,21-24 yrs,59,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,25.519031524658203 +1986,4,0.1716172993183136,homicide,21-24 yrs,50,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,21.626296997070312 +1986,4,0.1716172993183136,other external,21-24 yrs,44,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,19.03114128112793 +1986,4,0.1716172993183136,internal,21-24 yrs,69,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,29.844289779663086 +1987,4,0,MVA,15-17 yrs,49,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,31.738834381103516 +1987,4,0,suicide,15-17 yrs,25,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,16.193283081054688 +1987,4,0,homicide,15-17 yrs,14,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,9.068238258361816 +1987,4,0,other external,15-17 yrs,21,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,13.602357864379883 +1987,4,0,internal,15-17 yrs,26,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,16.841014862060547 +1987,4,0,all,18-20 yrs,194,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,121.13870239257812 +1987,4,0,MVA,18-20 yrs,102,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,63.69148254394531 +1987,4,0,suicide,18-20 yrs,31,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,19.357215881347656 +1987,4,0,homicide,18-20 yrs,17,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,10.615246772766113 +1987,4,0,other external,18-20 yrs,21,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,13.11295223236084 +1987,4,0,internal,18-20 yrs,23,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,14.361804962158203 +1987,4,0,all,21-24 yrs,335,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,145.11021423339844 +1987,4,0,MVA,21-24 yrs,134,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,58.04408645629883 +1987,4,0,suicide,21-24 yrs,66,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,28.588878631591797 +1987,4,0,homicide,21-24 yrs,40,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,17.32659339904785 +1987,4,0,other external,21-24 yrs,34,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,14.727603912353516 +1987,4,0,internal,21-24 yrs,61,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,26.42305564880371 +1988,4,0,MVA,15-17 yrs,53,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,34.67292785644531 +1988,4,0,suicide,15-17 yrs,20,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,13.084124565124512 +1988,4,0,homicide,15-17 yrs,15,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,9.813093185424805 +1988,4,0,other external,15-17 yrs,22,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,14.392537117004395 +1988,4,0,internal,15-17 yrs,26,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,17.009361267089844 +1988,4,0,all,18-20 yrs,214,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,128.95217895507812 +1988,4,0,MVA,18-20 yrs,106,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,63.873504638671875 +1988,4,0,suicide,18-20 yrs,41,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,24.70578956604004 +1988,4,0,homicide,18-20 yrs,14,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,8.436123847961426 +1988,4,0,other external,18-20 yrs,25,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,15.064506530761719 +1988,4,0,internal,18-20 yrs,28,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,16.87224769592285 +1988,4,0,all,21-24 yrs,312,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,136.24632263183594 +1988,4,0,MVA,21-24 yrs,115,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,50.218997955322266 +1988,4,0,suicide,21-24 yrs,69,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,30.131399154663086 +1988,4,0,homicide,21-24 yrs,38,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,16.594104766845703 +1988,4,0,other external,21-24 yrs,36,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,15.72072982788086 +1988,4,0,internal,21-24 yrs,54,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,23.58109474182129 +1989,4,0,MVA,15-17 yrs,41,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,27.529897689819336 +1989,4,0,suicide,15-17 yrs,26,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,17.457983016967773 +1989,4,0,homicide,15-17 yrs,6,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,4.0287652015686035 +1989,4,0,other external,15-17 yrs,19,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,12.757757186889648 +1989,4,0,internal,15-17 yrs,24,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,16.115060806274414 +1989,4,0,all,18-20 yrs,227,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,131.50881958007812 +1989,4,0,MVA,18-20 yrs,93,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,53.8780632019043 +1989,4,0,suicide,18-20 yrs,32,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,18.53868865966797 +1989,4,0,homicide,18-20 yrs,34,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,19.697355270385742 +1989,4,0,other external,18-20 yrs,35,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,20.276689529418945 +1989,4,0,internal,18-20 yrs,33,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,19.11802101135254 +1989,4,0,all,21-24 yrs,320,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,142.2835693359375 +1989,4,0,MVA,21-24 yrs,98,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,43.5743408203125 +1989,4,0,suicide,21-24 yrs,55,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,24.454986572265625 +1989,4,0,homicide,21-24 yrs,51,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,22.676443099975586 +1989,4,0,other external,21-24 yrs,45,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,20.008625030517578 +1989,4,0,internal,21-24 yrs,71,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,31.56916618347168 +1990,4,0,MVA,15-17 yrs,43,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,28.667430877685547 +1990,4,0,suicide,15-17 yrs,22,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,14.667057991027832 +1990,4,0,homicide,15-17 yrs,16,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,10.666951179504395 +1990,4,0,other external,15-17 yrs,19,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.667004585266113 +1990,4,0,internal,15-17 yrs,18,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.000320434570312 +1990,4,0,all,18-20 yrs,201,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,117.47309875488281 +1990,4,0,MVA,18-20 yrs,84,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,49.09323501586914 +1990,4,0,suicide,18-20 yrs,36,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,21.039958953857422 +1990,4,0,homicide,18-20 yrs,28,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,16.364412307739258 +1990,4,0,other external,18-20 yrs,22,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.857752799987793 +1990,4,0,internal,18-20 yrs,31,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,18.11774253845215 +1990,4,0,all,21-24 yrs,292,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,132.52847290039062 +1990,4,0,MVA,21-24 yrs,114,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,51.740570068359375 +1990,4,0,suicide,21-24 yrs,56,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,25.416419982910156 +1990,4,0,homicide,21-24 yrs,42,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,19.062314987182617 +1990,4,0,other external,21-24 yrs,34,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,15.431398391723633 +1990,4,0,internal,21-24 yrs,46,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,20.877775192260742 +1991,4,0,MVA,15-17 yrs,48,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,31.706398010253906 +1991,4,0,suicide,15-17 yrs,29,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,19.155948638916016 +1991,4,0,homicide,15-17 yrs,24,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,15.853199005126953 +1991,4,0,other external,15-17 yrs,21,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,13.871549606323242 +1991,4,0,internal,15-17 yrs,27,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,17.834848403930664 +1991,4,0,all,18-20 yrs,198,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,119.91569519042969 +1991,4,0,MVA,18-20 yrs,65,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,39.36626434326172 +1991,4,0,suicide,18-20 yrs,37,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,22.408489227294922 +1991,4,0,homicide,18-20 yrs,46,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,27.859201431274414 +1991,4,0,other external,18-20 yrs,24,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,14.535235404968262 +1991,4,0,internal,18-20 yrs,26,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,15.746505737304688 +1991,4,0,all,21-24 yrs,264,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,118.31720733642578 +1991,4,0,MVA,21-24 yrs,71,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,31.820158004760742 +1991,4,0,suicide,21-24 yrs,53,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,23.753074645996094 +1991,4,0,homicide,21-24 yrs,42,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,18.823192596435547 +1991,4,0,other external,21-24 yrs,33,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,14.789650917053223 +1991,4,0,internal,21-24 yrs,65,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,29.13113021850586 +1992,4,0,MVA,15-17 yrs,36,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,22.993350982666016 +1992,4,0,suicide,15-17 yrs,18,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,11.496675491333008 +1992,4,0,homicide,15-17 yrs,24,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,15.328900337219238 +1992,4,0,other external,15-17 yrs,20,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,12.774084091186523 +1992,4,0,internal,15-17 yrs,22,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,14.051492691040039 +1992,4,0,all,18-20 yrs,172,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,107.58943176269531 +1992,4,0,MVA,18-20 yrs,59,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,36.905677795410156 +1992,4,0,suicide,18-20 yrs,23,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,14.386959075927734 +1992,4,0,homicide,18-20 yrs,38,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,23.769758224487305 +1992,4,0,other external,18-20 yrs,25,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,15.637999534606934 +1992,4,0,internal,18-20 yrs,27,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,16.8890380859375 +1992,4,0,all,21-24 yrs,287,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,124.83688354492188 +1992,4,0,MVA,21-24 yrs,90,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,39.147457122802734 +1992,4,0,suicide,21-24 yrs,50,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,21.748586654663086 +1992,4,0,homicide,21-24 yrs,48,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,20.878643035888672 +1992,4,0,other external,21-24 yrs,40,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,17.398868560791016 +1992,4,0,internal,21-24 yrs,59,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,25.663331985473633 +1993,4,0,MVA,15-17 yrs,45,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,27.74763298034668 +1993,4,0,suicide,15-17 yrs,23,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,14.182123184204102 +1993,4,0,homicide,15-17 yrs,23,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,14.182123184204102 +1993,4,0,other external,15-17 yrs,18,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,11.099052429199219 +1993,4,0,internal,15-17 yrs,29,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,17.881807327270508 +1993,4,0,all,18-20 yrs,223,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,137.9054412841797 +1993,4,0,MVA,18-20 yrs,67,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,41.433475494384766 +1993,4,0,suicide,18-20 yrs,51,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,31.53891372680664 +1993,4,0,homicide,18-20 yrs,47,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,29.06527328491211 +1993,4,0,other external,18-20 yrs,27,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,16.697071075439453 +1993,4,0,internal,18-20 yrs,31,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,19.170711517333984 +1993,4,0,all,21-24 yrs,277,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,118.6280288696289 +1993,4,0,MVA,21-24 yrs,77,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,32.97602081298828 +1993,4,0,suicide,21-24 yrs,62,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,26.552122116088867 +1993,4,0,homicide,21-24 yrs,44,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,18.843441009521484 +1993,4,0,other external,21-24 yrs,31,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,13.276061058044434 +1993,4,0,internal,21-24 yrs,63,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,26.98038101196289 +1994,4,0,MVA,15-17 yrs,56,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,33.0177001953125 +1994,4,0,suicide,15-17 yrs,21,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,12.381637573242188 +1994,4,0,homicide,15-17 yrs,31,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,18.27765464782715 +1994,4,0,other external,15-17 yrs,12,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,7.075221538543701 +1994,4,0,internal,15-17 yrs,27,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,15.919248580932617 +1994,4,0,all,18-20 yrs,231,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,136.68557739257812 +1994,4,0,MVA,18-20 yrs,66,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,39.05302429199219 +1994,4,0,suicide,18-20 yrs,58,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,34.3193244934082 +1994,4,0,homicide,18-20 yrs,53,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,31.360761642456055 +1994,4,0,other external,18-20 yrs,26,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,15.38452434539795 +1994,4,0,internal,18-20 yrs,28,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,16.567949295043945 +1994,4,0,all,21-24 yrs,347,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,146.14157104492188 +1994,4,0,MVA,21-24 yrs,103,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,43.37919616699219 +1994,4,0,suicide,21-24 yrs,82,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,34.53489685058594 +1994,4,0,homicide,21-24 yrs,69,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,29.059850692749023 +1994,4,0,other external,21-24 yrs,47,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,19.794391632080078 +1994,4,0,internal,21-24 yrs,46,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,19.373233795166016 +1995,4,0,MVA,15-17 yrs,60,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,33.1473388671875 +1995,4,0,suicide,15-17 yrs,26,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,14.363847732543945 +1995,4,0,homicide,15-17 yrs,46,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,25.412960052490234 +1995,4,0,other external,15-17 yrs,29,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,16.02121353149414 +1995,4,0,internal,15-17 yrs,26,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,14.363847732543945 +1995,4,0,all,18-20 yrs,232,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,130.59019470214844 +1995,4,0,MVA,18-20 yrs,74,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,41.65376663208008 +1995,4,0,suicide,18-20 yrs,31,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,17.44955062866211 +1995,4,0,homicide,18-20 yrs,63,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,35.46199035644531 +1995,4,0,other external,18-20 yrs,28,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,15.760885238647461 +1995,4,0,internal,18-20 yrs,36,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,20.263994216918945 +1995,4,0,all,21-24 yrs,353,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,149.55218505859375 +1995,4,0,MVA,21-24 yrs,107,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,45.33168411254883 +1995,4,0,suicide,21-24 yrs,55,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,23.301332473754883 +1995,4,0,homicide,21-24 yrs,69,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,29.232582092285156 +1995,4,0,other external,21-24 yrs,54,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,22.87767219543457 +1995,4,0,internal,21-24 yrs,68,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,28.80891990661621 +1996,4,0,MVA,15-17 yrs,55,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,28.820558547973633 +1996,4,0,suicide,15-17 yrs,25,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,13.10025405883789 +1996,4,0,homicide,15-17 yrs,29,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,15.196293830871582 +1996,4,0,other external,15-17 yrs,16,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,8.384161949157715 +1996,4,0,internal,15-17 yrs,24,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,12.57624340057373 +1996,4,0,all,18-20 yrs,246,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,134.2355194091797 +1996,4,0,MVA,18-20 yrs,71,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,38.74277114868164 +1996,4,0,suicide,18-20 yrs,44,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.00960350036621 +1996,4,0,homicide,18-20 yrs,56,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,30.55767822265625 +1996,4,0,other external,18-20 yrs,34,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,18.552875518798828 +1996,4,0,internal,18-20 yrs,41,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,22.37258529663086 +1996,4,0,all,21-24 yrs,322,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,137.67626953125 +1996,4,0,MVA,21-24 yrs,89,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,38.05337905883789 +1996,4,0,suicide,21-24 yrs,66,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,28.219358444213867 +1996,4,0,homicide,21-24 yrs,58,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.798830032348633 +1996,4,0,other external,21-24 yrs,51,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,21.80586814880371 +1996,4,0,internal,21-24 yrs,58,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.798830032348633 +1970,5,0,MVA,15-17 yrs,37,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,32.36274337768555 +1970,5,0,suicide,15-17 yrs,4,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,3.4986748695373535 +1970,5,0,homicide,15-17 yrs,9,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,7.872018337249756 +1970,5,0,other external,15-17 yrs,31,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,27.114730834960938 +1970,5,0,internal,15-17 yrs,30,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,26.240060806274414 +1970,5,0,all,18-20 yrs,166,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,167.96688842773438 +1970,5,0,MVA,18-20 yrs,72,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,72.85311126708984 +1970,5,0,suicide,18-20 yrs,14,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,14.165882110595703 +1970,5,0,homicide,18-20 yrs,14,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,14.165882110595703 +1970,5,0,other external,18-20 yrs,36,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,36.42655563354492 +1970,5,0,internal,18-20 yrs,30,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,30.3554630279541 +1970,5,0,all,21-24 yrs,168,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,149.58729553222656 +1970,5,0,MVA,21-24 yrs,61,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,54.31443786621094 +1970,5,0,suicide,21-24 yrs,9,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,8.013605117797852 +1970,5,0,homicide,21-24 yrs,17,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,15.136810302734375 +1970,5,0,other external,21-24 yrs,32,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,28.49281883239746 +1970,5,0,internal,21-24 yrs,49,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,43.6296272277832 +1971,5,0,MVA,15-17 yrs,47,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,39.66613006591797 +1971,5,0,suicide,15-17 yrs,3,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,2.5318806171417236 +1971,5,0,homicide,15-17 yrs,5,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,4.21980094909668 +1971,5,0,other external,15-17 yrs,37,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,31.22652816772461 +1971,5,0,internal,15-17 yrs,18,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,15.191283226013184 +1971,5,0,all,18-20 yrs,166,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,162.7020263671875 +1971,5,0,MVA,18-20 yrs,74,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,72.52982330322266 +1971,5,0,suicide,18-20 yrs,6,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,5.880796432495117 +1971,5,0,homicide,18-20 yrs,15,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,14.701991081237793 +1971,5,0,other external,18-20 yrs,32,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,31.364246368408203 +1971,5,0,internal,18-20 yrs,39,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,38.22517395019531 +1971,5,0,all,21-24 yrs,205,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,162.45472717285156 +1971,5,0,MVA,21-24 yrs,82,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,64.98189544677734 +1971,5,0,suicide,21-24 yrs,12,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,9.50954532623291 +1971,5,0,homicide,21-24 yrs,16,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,12.679393768310547 +1971,5,0,other external,21-24 yrs,48,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,38.03818130493164 +1971,5,0,internal,21-24 yrs,47,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,37.24571990966797 +1972,5,0,MVA,15-17 yrs,72,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,59.18181228637695 +1972,5,0,suicide,15-17 yrs,4,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.2878785133361816 +1972,5,0,homicide,15-17 yrs,4,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.2878785133361816 +1972,5,0,other external,15-17 yrs,42,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,34.52272415161133 +1972,5,0,internal,15-17 yrs,26,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,21.3712100982666 +1972,5,0,all,18-20 yrs,206,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,194.77879333496094 +1972,5,0,MVA,18-20 yrs,98,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,92.66175842285156 +1972,5,0,suicide,18-20 yrs,10,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,9.455281257629395 +1972,5,0,homicide,18-20 yrs,4,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.7821125984191895 +1972,5,0,other external,18-20 yrs,46,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,43.494293212890625 +1972,5,0,internal,18-20 yrs,48,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,45.38534927368164 +1972,5,0,all,21-24 yrs,200,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,153.6039276123047 +1972,5,0,MVA,21-24 yrs,66,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,50.68929672241211 +1972,5,0,suicide,21-24 yrs,6,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,4.608118057250977 +1972,5,0,homicide,21-24 yrs,24,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,18.432472229003906 +1972,5,0,other external,21-24 yrs,74,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,56.83345413208008 +1972,5,0,internal,21-24 yrs,30,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,23.040590286254883 +1973,5,0,MVA,15-17 yrs,49,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,39.4293212890625 +1973,5,0,suicide,15-17 yrs,2,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,1.6093599796295166 +1973,5,0,homicide,15-17 yrs,5,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,4.02340030670166 +1973,5,0,other external,15-17 yrs,38,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,30.57784080505371 +1973,5,0,internal,15-17 yrs,25,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,20.117000579833984 +1973,5,0,all,18-20 yrs,181,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,167.58172607421875 +1973,5,0,MVA,18-20 yrs,74,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,68.51407623291016 +1973,5,0,suicide,18-20 yrs,8,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,7.406927108764648 +1973,5,0,homicide,18-20 yrs,8,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,7.406927108764648 +1973,5,0,other external,18-20 yrs,48,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,44.44156265258789 +1973,5,0,internal,18-20 yrs,43,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,39.812232971191406 +1973,5,0,all,21-24 yrs,205,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,153.992919921875 +1973,5,0,MVA,21-24 yrs,68,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,51.0805778503418 +1973,5,0,suicide,21-24 yrs,9,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,6.760664939880371 +1973,5,0,homicide,21-24 yrs,27,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,20.28199577331543 +1973,5,0,other external,21-24 yrs,50,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,37.55924987792969 +1973,5,0,internal,21-24 yrs,51,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,38.3104362487793 +1974,5,0,MVA,15-17 yrs,46,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,36.35386657714844 +1974,5,0,suicide,15-17 yrs,6,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,4.7418084144592285 +1974,5,0,homicide,15-17 yrs,9,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,7.112712860107422 +1974,5,0,other external,15-17 yrs,50,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,39.515071868896484 +1974,5,0,internal,15-17 yrs,31,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,24.499343872070312 +1974,5,0,all,18-20 yrs,135,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,119.61934661865234 +1974,5,0,MVA,18-20 yrs,43,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,38.100975036621094 +1974,5,0,suicide,18-20 yrs,10,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,8.860692024230957 +1974,5,0,homicide,18-20 yrs,19,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,16.835315704345703 +1974,5,0,other external,18-20 yrs,30,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,26.582077026367188 +1974,5,0,internal,18-20 yrs,33,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,29.240283966064453 +1974,5,0,all,21-24 yrs,186,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,138.18618774414062 +1974,5,0,MVA,21-24 yrs,48,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,35.660953521728516 +1974,5,0,suicide,21-24 yrs,11,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,8.17230224609375 +1974,5,0,homicide,21-24 yrs,25,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,18.573413848876953 +1974,5,0,other external,21-24 yrs,42,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,31.20333480834961 +1974,5,0,internal,21-24 yrs,60,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,44.57619094848633 +1975,5,0,MVA,15-17 yrs,39,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,30.228105545043945 +1975,5,0,suicide,15-17 yrs,7,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,5.425557613372803 +1975,5,0,homicide,15-17 yrs,5,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,3.8753981590270996 +1975,5,0,other external,15-17 yrs,43,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,33.328426361083984 +1975,5,0,internal,15-17 yrs,21,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,16.27667236328125 +1975,5,0,all,18-20 yrs,175,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,148.94630432128906 +1975,5,0,MVA,18-20 yrs,61,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,51.91843032836914 +1975,5,0,suicide,18-20 yrs,13,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,11.064582824707031 +1975,5,0,homicide,18-20 yrs,22,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,18.724679946899414 +1975,5,0,other external,18-20 yrs,50,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,42.556087493896484 +1975,5,0,internal,18-20 yrs,29,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,24.682531356811523 +1975,5,0,all,21-24 yrs,201,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,144.12527465820312 +1975,5,0,MVA,21-24 yrs,68,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,48.7588005065918 +1975,5,0,suicide,21-24 yrs,15,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,10.75561809539795 +1975,5,0,homicide,21-24 yrs,21,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,15.057865142822266 +1975,5,0,other external,21-24 yrs,52,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,37.2861442565918 +1975,5,0,internal,21-24 yrs,45,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,32.26685333251953 +1976,5,0,MVA,15-17 yrs,37,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,28.779216766357422 +1976,5,0,suicide,15-17 yrs,10,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,7.778166770935059 +1976,5,0,homicide,15-17 yrs,6,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,4.666900157928467 +1976,5,0,other external,15-17 yrs,33,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,25.667949676513672 +1976,5,0,internal,15-17 yrs,24,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,18.667600631713867 +1976,5,0,all,18-20 yrs,163,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,137.48776245117188 +1976,5,0,MVA,18-20 yrs,63,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,53.13944625854492 +1976,5,0,suicide,18-20 yrs,17,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,14.339215278625488 +1976,5,0,homicide,18-20 yrs,15,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,12.65224838256836 +1976,5,0,other external,18-20 yrs,31,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,26.147981643676758 +1976,5,0,internal,18-20 yrs,37,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,31.208879470825195 +1976,5,0,all,21-24 yrs,188,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,133.51513671875 +1976,5,0,MVA,21-24 yrs,67,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,47.582523345947266 +1976,5,0,suicide,21-24 yrs,15,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,10.652803421020508 +1976,5,0,homicide,21-24 yrs,22,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,15.624112129211426 +1976,5,0,other external,21-24 yrs,47,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,33.3787841796875 +1976,5,0,internal,21-24 yrs,37,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,26.27691650390625 +1977,5,0,MVA,15-17 yrs,41,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,31.63604736328125 +1977,5,0,suicide,15-17 yrs,7,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,5.401276111602783 +1977,5,0,homicide,15-17 yrs,6,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,4.629665374755859 +1977,5,0,other external,15-17 yrs,40,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,30.86443519592285 +1977,5,0,internal,15-17 yrs,25,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,19.290271759033203 +1977,5,0,all,18-20 yrs,135,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,111.52692413330078 +1977,5,0,MVA,18-20 yrs,63,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,52.0458984375 +1977,5,0,suicide,18-20 yrs,13,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,10.739629745483398 +1977,5,0,homicide,18-20 yrs,9,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,7.435128688812256 +1977,5,0,other external,18-20 yrs,32,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,26.436012268066406 +1977,5,0,internal,18-20 yrs,18,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,14.870257377624512 +1977,5,0,all,21-24 yrs,211,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,146.37733459472656 +1977,5,0,MVA,21-24 yrs,73,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,50.64239501953125 +1977,5,0,suicide,21-24 yrs,29,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,20.11821174621582 +1977,5,0,homicide,21-24 yrs,21,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,14.568360328674316 +1977,5,0,other external,21-24 yrs,39,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,27.055526733398438 +1977,5,0,internal,21-24 yrs,49,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,33.99283981323242 +1978,5,0,MVA,15-17 yrs,42,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,32.05543899536133 +1978,5,0,suicide,15-17 yrs,4,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,3.052899122238159 +1978,5,0,homicide,15-17 yrs,8,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,6.105798244476318 +1978,5,0,other external,15-17 yrs,26,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,19.843843460083008 +1978,5,0,internal,15-17 yrs,31,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,23.65996742248535 +1978,5,0,all,18-20 yrs,173,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,141.57467651367188 +1978,5,0,MVA,18-20 yrs,79,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,64.64970397949219 +1978,5,0,suicide,18-20 yrs,12,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,9.820208549499512 +1978,5,0,homicide,18-20 yrs,15,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,12.275259971618652 +1978,5,0,other external,18-20 yrs,39,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,31.915678024291992 +1978,5,0,internal,18-20 yrs,28,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,22.913820266723633 +1978,5,0,all,21-24 yrs,210,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,140.99636840820312 +1978,5,0,MVA,21-24 yrs,68,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,45.655967712402344 +1978,5,0,suicide,21-24 yrs,25,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,16.785282135009766 +1978,5,0,homicide,21-24 yrs,31,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,20.813751220703125 +1978,5,0,other external,21-24 yrs,52,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,34.913387298583984 +1978,5,0,internal,21-24 yrs,34,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,22.827983856201172 +1979,5,0,MVA,15-17 yrs,53,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,40.464500427246094 +1979,5,0,suicide,15-17 yrs,4,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,3.053924560546875 +1979,5,0,homicide,15-17 yrs,9,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,6.871330738067627 +1979,5,0,other external,15-17 yrs,24,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,18.32354736328125 +1979,5,0,internal,15-17 yrs,19,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,14.506142616271973 +1979,5,0,all,18-20 yrs,168,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,136.3868865966797 +1979,5,0,MVA,18-20 yrs,70,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,56.8278694152832 +1979,5,0,suicide,18-20 yrs,14,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,11.36557388305664 +1979,5,0,homicide,18-20 yrs,14,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,11.36557388305664 +1979,5,0,other external,18-20 yrs,39,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,31.66124153137207 +1979,5,0,internal,18-20 yrs,31,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,25.166627883911133 +1979,5,0,all,21-24 yrs,188,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,124.4382095336914 +1979,5,0,MVA,21-24 yrs,50,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,33.09526824951172 +1979,5,0,suicide,21-24 yrs,24,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,15.88572883605957 +1979,5,0,homicide,21-24 yrs,33,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,21.842876434326172 +1979,5,0,other external,21-24 yrs,38,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,25.152402877807617 +1979,5,0,internal,21-24 yrs,43,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,28.461931228637695 +1980,5,0,MVA,15-17 yrs,57,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,44.27149963378906 +1980,5,0,suicide,15-17 yrs,9,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,6.990236759185791 +1980,5,0,homicide,15-17 yrs,9,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,6.990236759185791 +1980,5,0,other external,15-17 yrs,30,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,23.300790786743164 +1980,5,0,internal,15-17 yrs,26,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,20.19401741027832 +1980,5,0,all,18-20 yrs,173,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,137.5155029296875 +1980,5,0,MVA,18-20 yrs,73,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,58.026771545410156 +1980,5,0,suicide,18-20 yrs,16,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,12.718196868896484 +1980,5,0,homicide,18-20 yrs,17,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,13.513083457946777 +1980,5,0,other external,18-20 yrs,40,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,31.79549217224121 +1980,5,0,internal,18-20 yrs,27,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,21.461956024169922 +1980,5,0,all,21-24 yrs,210,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,136.8693389892578 +1980,5,0,MVA,21-24 yrs,77,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,50.1854248046875 +1980,5,0,suicide,21-24 yrs,17,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,11.079898834228516 +1980,5,0,homicide,21-24 yrs,43,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,28.02562713623047 +1980,5,0,other external,21-24 yrs,35,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,22.81155776977539 +1980,5,0,internal,21-24 yrs,38,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,24.76683235168457 +1981,5,0,MVA,15-17 yrs,48,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,39.19007110595703 +1981,5,0,suicide,15-17 yrs,14,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,11.430438041687012 +1981,5,0,homicide,15-17 yrs,6,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,4.898758888244629 +1981,5,0,other external,15-17 yrs,14,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,11.430438041687012 +1981,5,0,internal,15-17 yrs,10,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,8.16459846496582 +1981,5,0,all,18-20 yrs,122,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,95.88255310058594 +1981,5,0,MVA,18-20 yrs,56,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,44.011661529541016 +1981,5,0,suicide,18-20 yrs,12,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,9.431070327758789 +1981,5,0,homicide,18-20 yrs,6,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,4.7155351638793945 +1981,5,0,other external,18-20 yrs,28,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,22.005830764770508 +1981,5,0,internal,18-20 yrs,20,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,15.718451499938965 +1981,5,0,all,21-24 yrs,222,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,143.60009765625 +1981,5,0,MVA,21-24 yrs,78,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,50.45408630371094 +1981,5,0,suicide,21-24 yrs,26,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,16.818029403686523 +1981,5,0,homicide,21-24 yrs,36,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,23.286500930786133 +1981,5,0,other external,21-24 yrs,30,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,19.405418395996094 +1981,5,0,internal,21-24 yrs,52,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,33.63605880737305 +1982,5,0,MVA,15-17 yrs,34,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,29.55673599243164 +1982,5,0,suicide,15-17 yrs,4,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,3.4772629737854004 +1982,5,0,homicide,15-17 yrs,6,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,5.21589469909668 +1982,5,0,other external,15-17 yrs,18,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,15.647684097290039 +1982,5,0,internal,15-17 yrs,16,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,13.909051895141602 +1982,5,0,all,18-20 yrs,156,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,122.50186157226562 +1982,5,0,MVA,18-20 yrs,64,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,50.25717544555664 +1982,5,0,suicide,18-20 yrs,18,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,14.134830474853516 +1982,5,0,homicide,18-20 yrs,22,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,17.275903701782227 +1982,5,0,other external,18-20 yrs,22,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,17.275903701782227 +1982,5,0,internal,18-20 yrs,30,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,23.55805015563965 +1982,5,0,all,21-24 yrs,190,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,122.0828628540039 +1982,5,0,MVA,21-24 yrs,58,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,37.267398834228516 +1982,5,0,suicide,21-24 yrs,26,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,16.70607566833496 +1982,5,0,homicide,21-24 yrs,14,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,8.995579719543457 +1982,5,0,other external,21-24 yrs,48,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,30.84198570251465 +1982,5,0,internal,21-24 yrs,44,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,28.271820068359375 +1983,5,0,MVA,15-17 yrs,37,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,33.77823257446289 +1983,5,0,suicide,15-17 yrs,12,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,10.95510196685791 +1983,5,0,homicide,15-17 yrs,0,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,0 +1983,5,0,other external,15-17 yrs,8,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,7.303401470184326 +1983,5,0,internal,15-17 yrs,20,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,18.258502960205078 +1983,5,0,all,18-20 yrs,139,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,110.20987701416016 +1983,5,0,MVA,18-20 yrs,69,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,54.708499908447266 +1983,5,0,suicide,18-20 yrs,18,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,14.271781921386719 +1983,5,0,homicide,18-20 yrs,10,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,7.928768157958984 +1983,5,0,other external,18-20 yrs,23,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,18.23616600036621 +1983,5,0,internal,18-20 yrs,19,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,15.064659118652344 +1983,5,0,all,21-24 yrs,197,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,125.13736724853516 +1983,5,0,MVA,21-24 yrs,78,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,49.546775817871094 +1983,5,0,suicide,21-24 yrs,20,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,12.704300880432129 +1983,5,0,homicide,21-24 yrs,28,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,17.786022186279297 +1983,5,0,other external,21-24 yrs,30,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,19.05645179748535 +1983,5,0,internal,21-24 yrs,41,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,26.0438175201416 +1984,5,0,MVA,15-17 yrs,35,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,32.22658157348633 +1984,5,0,suicide,15-17 yrs,12,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,11.049113273620605 +1984,5,0,homicide,15-17 yrs,3,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,2.7622783184051514 +1984,5,0,other external,15-17 yrs,16,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.73215103149414 +1984,5,0,internal,15-17 yrs,23,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,21.177467346191406 +1984,5,0,all,18-20 yrs,136,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,112.32150268554688 +1984,5,0,MVA,18-20 yrs,74,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,61.116111755371094 +1984,5,0,suicide,18-20 yrs,16,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,13.21429443359375 +1984,5,0,homicide,18-20 yrs,6,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,4.955360412597656 +1984,5,0,other external,18-20 yrs,18,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.866081237792969 +1984,5,0,internal,18-20 yrs,22,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,18.169654846191406 +1984,5,0,all,21-24 yrs,182,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,114.37908172607422 +1984,5,0,MVA,21-24 yrs,66,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,41.47813034057617 +1984,5,0,suicide,21-24 yrs,23,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.454500198364258 +1984,5,0,homicide,21-24 yrs,24,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,15.082956314086914 +1984,5,0,other external,21-24 yrs,29,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,18.225238800048828 +1984,5,0,internal,21-24 yrs,40,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,25.138259887695312 +1985,5,0,MVA,15-17 yrs,47,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,42.774715423583984 +1985,5,0,suicide,15-17 yrs,7,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,6.370702266693115 +1985,5,0,homicide,15-17 yrs,4,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,3.6404011249542236 +1985,5,0,other external,15-17 yrs,22,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,20.022207260131836 +1985,5,0,internal,15-17 yrs,16,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,14.561604499816895 +1985,5,0,all,18-20 yrs,125,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,109.48489379882812 +1985,5,0,MVA,18-20 yrs,58,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,50.80099105834961 +1985,5,0,suicide,18-20 yrs,12,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,10.510549545288086 +1985,5,0,homicide,18-20 yrs,13,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,11.386428833007812 +1985,5,0,other external,18-20 yrs,21,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,18.393463134765625 +1985,5,0,internal,18-20 yrs,21,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,18.393463134765625 +1985,5,0,all,21-24 yrs,188,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,118.12532806396484 +1985,5,0,MVA,21-24 yrs,60,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,37.6995735168457 +1985,5,0,suicide,21-24 yrs,31,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,19.478113174438477 +1985,5,0,homicide,21-24 yrs,20,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,12.566524505615234 +1985,5,0,other external,21-24 yrs,35,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,21.991416931152344 +1985,5,0,internal,21-24 yrs,42,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,26.389699935913086 +1986,5,0,MVA,15-17 yrs,47,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,41.70512008666992 +1986,5,0,suicide,15-17 yrs,9,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,7.986086368560791 +1986,5,0,homicide,15-17 yrs,4,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,3.5493717193603516 +1986,5,0,other external,15-17 yrs,15,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,13.310144424438477 +1986,5,0,internal,15-17 yrs,20,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.746858596801758 +1986,5,0,all,18-20 yrs,135,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,124.3265609741211 +1986,5,0,MVA,18-20 yrs,67,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,61.70281219482422 +1986,5,0,suicide,18-20 yrs,7,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,6.446562767028809 +1986,5,0,homicide,18-20 yrs,20,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,18.418750762939453 +1986,5,0,other external,18-20 yrs,20,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,18.418750762939453 +1986,5,0,internal,18-20 yrs,21,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,19.33968734741211 +1986,5,0,all,21-24 yrs,200,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,128.19773864746094 +1986,5,0,MVA,21-24 yrs,75,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,48.07415008544922 +1986,5,0,suicide,21-24 yrs,27,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.30669403076172 +1986,5,0,homicide,21-24 yrs,28,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.947683334350586 +1986,5,0,other external,21-24 yrs,36,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,23.075592041015625 +1986,5,0,internal,21-24 yrs,34,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,21.793615341186523 +1987,5,0,MVA,15-17 yrs,57,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,50.3769416809082 +1987,5,0,suicide,15-17 yrs,12,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,10.605671882629395 +1987,5,0,homicide,15-17 yrs,4,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,3.535224199295044 +1987,5,0,other external,15-17 yrs,20,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,17.67612075805664 +1987,5,0,internal,15-17 yrs,24,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,21.21134376525879 +1987,5,0,all,18-20 yrs,143,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,133.33209228515625 +1987,5,0,MVA,18-20 yrs,74,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,68.99702453613281 +1987,5,0,suicide,18-20 yrs,8,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,7.459137916564941 +1987,5,0,homicide,18-20 yrs,9,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,8.39153003692627 +1987,5,0,other external,18-20 yrs,22,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,20.51262855529785 +1987,5,0,internal,18-20 yrs,30,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,27.97176742553711 +1987,5,0,all,21-24 yrs,161,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,107.6303939819336 +1987,5,0,MVA,21-24 yrs,71,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,47.46433639526367 +1987,5,0,suicide,21-24 yrs,22,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,14.707258224487305 +1987,5,0,homicide,21-24 yrs,18,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,12.033211708068848 +1987,5,0,other external,21-24 yrs,17,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,11.364700317382812 +1987,5,0,internal,21-24 yrs,33,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,22.060888290405273 +1988,5,0,MVA,15-17 yrs,45,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,40.57819366455078 +1988,5,0,suicide,15-17 yrs,15,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.5260648727417 +1988,5,0,homicide,15-17 yrs,6,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,5.410425662994385 +1988,5,0,other external,15-17 yrs,15,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.5260648727417 +1988,5,0,internal,15-17 yrs,26,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,23.445178985595703 +1988,5,0,all,18-20 yrs,129,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,120.05472564697266 +1988,5,0,MVA,18-20 yrs,62,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,57.70071792602539 +1988,5,0,suicide,18-20 yrs,10,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,9.306567192077637 +1988,5,0,homicide,18-20 yrs,20,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,18.613134384155273 +1988,5,0,other external,18-20 yrs,14,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.029194831848145 +1988,5,0,internal,18-20 yrs,23,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,21.405105590820312 +1988,5,0,all,21-24 yrs,173,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,122.85099792480469 +1988,5,0,MVA,21-24 yrs,66,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,46.868011474609375 +1988,5,0,suicide,21-24 yrs,21,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,14.912549018859863 +1988,5,0,homicide,21-24 yrs,27,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,19.173276901245117 +1988,5,0,other external,21-24 yrs,23,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,16.33279037475586 +1988,5,0,internal,21-24 yrs,36,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,25.564369201660156 +1989,5,0,MVA,15-17 yrs,52,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,48.787353515625 +1989,5,0,suicide,15-17 yrs,13,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,12.19683837890625 +1989,5,0,homicide,15-17 yrs,7,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,6.567528247833252 +1989,5,0,other external,15-17 yrs,28,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,26.270112991333008 +1989,5,0,internal,15-17 yrs,20,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,18.764366149902344 +1989,5,0,all,18-20 yrs,130,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,118.39816284179688 +1989,5,0,MVA,18-20 yrs,62,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,56.46681594848633 +1989,5,0,suicide,18-20 yrs,10,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,9.107550621032715 +1989,5,0,homicide,18-20 yrs,20,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,18.21510124206543 +1989,5,0,other external,18-20 yrs,19,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,17.304346084594727 +1989,5,0,internal,18-20 yrs,19,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,17.304346084594727 +1989,5,0,all,21-24 yrs,173,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,130.60447692871094 +1989,5,0,MVA,21-24 yrs,65,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,49.071048736572266 +1989,5,0,suicide,21-24 yrs,20,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,15.098783493041992 +1989,5,0,homicide,21-24 yrs,30,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,22.648176193237305 +1989,5,0,other external,21-24 yrs,16,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,12.07902717590332 +1989,5,0,internal,21-24 yrs,42,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,31.70744514465332 +1990,5,0,MVA,15-17 yrs,43,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,40.949649810791016 +1990,5,0,suicide,15-17 yrs,12,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,11.427809715270996 +1990,5,0,homicide,15-17 yrs,6,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,5.713904857635498 +1990,5,0,other external,15-17 yrs,22,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,20.950984954833984 +1990,5,0,internal,15-17 yrs,26,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,24.76025390625 +1990,5,0,all,18-20 yrs,140,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,126.35265350341797 +1990,5,0,MVA,18-20 yrs,56,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,50.54106140136719 +1990,5,0,suicide,18-20 yrs,19,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,17.147859573364258 +1990,5,0,homicide,18-20 yrs,21,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,18.952898025512695 +1990,5,0,other external,18-20 yrs,13,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,11.732746124267578 +1990,5,0,internal,18-20 yrs,31,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,27.978086471557617 +1990,5,0,all,21-24 yrs,163,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,127.27713012695312 +1990,5,0,MVA,21-24 yrs,57,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,44.50795364379883 +1990,5,0,suicide,21-24 yrs,27,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,21.082714080810547 +1990,5,0,homicide,21-24 yrs,23,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,17.959348678588867 +1990,5,0,other external,21-24 yrs,21,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,16.397666931152344 +1990,5,0,internal,21-24 yrs,35,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,27.329444885253906 +1991,5,0,MVA,15-17 yrs,41,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,38.99340057373047 +1991,5,0,suicide,15-17 yrs,8,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,7.608468055725098 +1991,5,0,homicide,15-17 yrs,11,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,10.461644172668457 +1991,5,0,other external,15-17 yrs,14,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,13.3148193359375 +1991,5,0,internal,15-17 yrs,15,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,14.265877723693848 +1991,5,0,all,18-20 yrs,144,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,131.21446228027344 +1991,5,0,MVA,18-20 yrs,62,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,56.4951171875 +1991,5,0,suicide,18-20 yrs,14,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,12.756961822509766 +1991,5,0,homicide,18-20 yrs,22,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,20.046653747558594 +1991,5,0,other external,18-20 yrs,19,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,17.313018798828125 +1991,5,0,internal,18-20 yrs,27,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,24.602712631225586 +1991,5,0,all,21-24 yrs,182,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,139.83865356445312 +1991,5,0,MVA,21-24 yrs,71,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,54.55244064331055 +1991,5,0,suicide,21-24 yrs,22,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,16.90357208251953 +1991,5,0,homicide,21-24 yrs,31,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,23.81867027282715 +1991,5,0,other external,21-24 yrs,25,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,19.20860481262207 +1991,5,0,internal,21-24 yrs,33,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,25.35536003112793 +1992,5,0,MVA,15-17 yrs,42,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,39.01279067993164 +1992,5,0,suicide,15-17 yrs,9,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,8.359883308410645 +1992,5,0,homicide,15-17 yrs,13,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,12.075387954711914 +1992,5,0,other external,15-17 yrs,12,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,11.146512031555176 +1992,5,0,internal,15-17 yrs,10,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,9.288759231567383 +1992,5,0,all,18-20 yrs,134,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,124.59784698486328 +1992,5,0,MVA,18-20 yrs,56,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,52.070743560791016 +1992,5,0,suicide,18-20 yrs,11,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,10.228181838989258 +1992,5,0,homicide,18-20 yrs,28,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,26.035371780395508 +1992,5,0,other external,18-20 yrs,21,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,19.526527404785156 +1992,5,0,internal,18-20 yrs,18,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,16.737024307250977 +1992,5,0,all,21-24 yrs,207,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,154.33364868164062 +1992,5,0,MVA,21-24 yrs,74,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,55.17241287231445 +1992,5,0,suicide,21-24 yrs,26,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,19.384902954101562 +1992,5,0,homicide,21-24 yrs,45,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,33.5507926940918 +1992,5,0,other external,21-24 yrs,20,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,14.911462783813477 +1992,5,0,internal,21-24 yrs,42,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,31.31407356262207 +1993,5,0,MVA,15-17 yrs,31,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,28.477205276489258 +1993,5,0,suicide,15-17 yrs,17,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,15.616531372070312 +1993,5,0,homicide,15-17 yrs,12,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,11.023433685302734 +1993,5,0,other external,15-17 yrs,18,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,16.5351505279541 +1993,5,0,internal,15-17 yrs,29,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,26.639965057373047 +1993,5,0,all,18-20 yrs,133,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,122.77527618408203 +1993,5,0,MVA,18-20 yrs,57,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,52.61797332763672 +1993,5,0,suicide,18-20 yrs,16,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,14.769957542419434 +1993,5,0,homicide,18-20 yrs,27,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,24.92430305480957 +1993,5,0,other external,18-20 yrs,13,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,12.000590324401855 +1993,5,0,internal,18-20 yrs,20,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,18.462448120117188 +1993,5,0,all,21-24 yrs,196,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,142.0856170654297 +1993,5,0,MVA,21-24 yrs,61,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,44.220523834228516 +1993,5,0,suicide,21-24 yrs,30,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,21.747798919677734 +1993,5,0,homicide,21-24 yrs,39,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,28.272136688232422 +1993,5,0,other external,21-24 yrs,21,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,15.223458290100098 +1993,5,0,internal,21-24 yrs,45,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,32.62169647216797 +1994,5,0,MVA,15-17 yrs,50,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,44.804874420166016 +1994,5,0,suicide,15-17 yrs,15,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,13.441462516784668 +1994,5,0,homicide,15-17 yrs,18,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.1297550201416 +1994,5,0,other external,15-17 yrs,12,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,10.753170013427734 +1994,5,0,internal,15-17 yrs,18,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.1297550201416 +1994,5,0,all,18-20 yrs,125,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,114.9837646484375 +1994,5,0,MVA,18-20 yrs,48,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,44.15376663208008 +1994,5,0,suicide,18-20 yrs,19,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,17.47753143310547 +1994,5,0,homicide,18-20 yrs,22,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,20.23714256286621 +1994,5,0,other external,18-20 yrs,17,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,15.637791633605957 +1994,5,0,internal,18-20 yrs,19,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,17.47753143310547 +1994,5,0,all,21-24 yrs,193,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,138.72816467285156 +1994,5,0,MVA,21-24 yrs,63,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,45.28432083129883 +1994,5,0,suicide,21-24 yrs,33,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,23.72035789489746 +1994,5,0,homicide,21-24 yrs,36,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,25.876754760742188 +1994,5,0,other external,21-24 yrs,23,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.532371520996094 +1994,5,0,internal,21-24 yrs,38,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,27.31435203552246 +1995,5,0,MVA,15-17 yrs,43,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,37.33967971801758 +1995,5,0,suicide,15-17 yrs,13,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,11.288740158081055 +1995,5,0,homicide,15-17 yrs,17,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,14.762198448181152 +1995,5,0,other external,15-17 yrs,10,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,8.683646202087402 +1995,5,0,internal,15-17 yrs,12,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,10.420374870300293 +1995,5,0,all,18-20 yrs,158,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,143.19895935058594 +1995,5,0,MVA,18-20 yrs,76,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,68.88050842285156 +1995,5,0,suicide,18-20 yrs,22,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,19.93909454345703 +1995,5,0,homicide,18-20 yrs,30,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,27.189674377441406 +1995,5,0,other external,18-20 yrs,13,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,11.78219223022461 +1995,5,0,internal,18-20 yrs,17,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,15.407482147216797 +1995,5,0,all,21-24 yrs,169,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,122.3759765625 +1995,5,0,MVA,21-24 yrs,52,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,37.65414810180664 +1995,5,0,suicide,21-24 yrs,33,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,23.89590072631836 +1995,5,0,homicide,21-24 yrs,30,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,21.723546981811523 +1995,5,0,other external,21-24 yrs,18,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,13.034127235412598 +1995,5,0,internal,21-24 yrs,36,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,26.068254470825195 +1996,5,0,MVA,15-17 yrs,42,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,35.6424560546875 +1996,5,0,suicide,15-17 yrs,15,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,12.729448318481445 +1996,5,0,homicide,15-17 yrs,11,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,9.334928512573242 +1996,5,0,other external,15-17 yrs,15,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,12.729448318481445 +1996,5,0,internal,15-17 yrs,16,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,13.578078269958496 +1996,5,0,all,18-20 yrs,144,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,129.77532958984375 +1996,5,0,MVA,18-20 yrs,55,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,49.56696319580078 +1996,5,0,suicide,18-20 yrs,22,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,19.826786041259766 +1996,5,0,homicide,18-20 yrs,26,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,23.431655883789062 +1996,5,0,other external,18-20 yrs,17,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,15.320698738098145 +1996,5,0,internal,18-20 yrs,24,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,21.629220962524414 +1996,5,0,all,21-24 yrs,186,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,136.07432556152344 +1996,5,0,MVA,21-24 yrs,64,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,46.82127380371094 +1996,5,0,suicide,21-24 yrs,27,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,19.75272560119629 +1996,5,0,homicide,21-24 yrs,25,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,18.289560317993164 +1996,5,0,other external,21-24 yrs,25,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,18.289560317993164 +1996,5,0,internal,21-24 yrs,45,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,32.921207427978516 +1970,6,0,MVA,15-17 yrs,341,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,30.64493751525879 +1970,6,0,suicide,15-17 yrs,85,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,7.638767242431641 +1970,6,0,homicide,15-17 yrs,67,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,6.021145820617676 +1970,6,0,other external,15-17 yrs,197,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,17.70396614074707 +1970,6,0,internal,15-17 yrs,277,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,24.893394470214844 +1970,6,0,all,18-20 yrs,1661,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,155.53570556640625 +1970,6,0,MVA,18-20 yrs,580,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,54.31108093261719 +1970,6,0,suicide,18-20 yrs,228,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,21.34987449645996 +1970,6,0,homicide,18-20 yrs,141,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,13.203211784362793 +1970,6,0,other external,18-20 yrs,354,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,33.14848709106445 +1970,6,0,internal,18-20 yrs,358,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,33.523048400878906 +1970,6,0,all,21-24 yrs,2131,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,153.93516540527344 +1970,6,0,MVA,21-24 yrs,689,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,49.770687103271484 +1970,6,0,suicide,21-24 yrs,329,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,23.765684127807617 +1970,6,0,homicide,21-24 yrs,194,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,14.01380729675293 +1970,6,0,other external,21-24 yrs,477,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,34.45663070678711 +1970,6,0,internal,21-24 yrs,442,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,31.92836570739746 +1971,6,0,MVA,15-17 yrs,395,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,34.69206237792969 +1971,6,0,suicide,15-17 yrs,81,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,7.114068508148193 +1971,6,0,homicide,15-17 yrs,89,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,7.816692352294922 +1971,6,0,other external,15-17 yrs,201,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,17.65342903137207 +1971,6,0,internal,15-17 yrs,281,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,24.679668426513672 +1971,6,0,all,18-20 yrs,1615,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,143.29354858398438 +1971,6,0,MVA,18-20 yrs,567,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,50.308013916015625 +1971,6,0,suicide,18-20 yrs,238,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,21.116945266723633 +1971,6,0,homicide,18-20 yrs,148,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,13.131545066833496 +1971,6,0,other external,18-20 yrs,354,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,31.409236907958984 +1971,6,0,internal,18-20 yrs,308,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,27.327810287475586 +1971,6,0,all,21-24 yrs,2283,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,156.3433074951172 +1971,6,0,MVA,21-24 yrs,643,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,44.03361511230469 +1971,6,0,suicide,21-24 yrs,349,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,23.900049209594727 +1971,6,0,homicide,21-24 yrs,254,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,17.394306182861328 +1971,6,0,other external,21-24 yrs,522,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,35.747352600097656 +1971,6,0,internal,21-24 yrs,515,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,35.267982482910156 +1972,6,0,MVA,15-17 yrs,454,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,38.96260070800781 +1972,6,0,suicide,15-17 yrs,94,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,8.067146301269531 +1972,6,0,homicide,15-17 yrs,72,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,6.17909049987793 +1972,6,0,other external,15-17 yrs,166,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,14.246236801147461 +1972,6,0,internal,15-17 yrs,268,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,22.999948501586914 +1972,6,0,all,18-20 yrs,1748,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,149.61410522460938 +1972,6,0,MVA,18-20 yrs,662,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,56.66163635253906 +1972,6,0,suicide,18-20 yrs,208,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,17.80305290222168 +1972,6,0,homicide,18-20 yrs,218,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,18.658967971801758 +1972,6,0,other external,18-20 yrs,312,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,26.704578399658203 +1972,6,0,internal,18-20 yrs,348,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,29.78587532043457 +1972,6,0,all,21-24 yrs,2284,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,158.60604858398438 +1972,6,0,MVA,21-24 yrs,692,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,48.054019927978516 +1972,6,0,suicide,21-24 yrs,360,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,24.99920082092285 +1972,6,0,homicide,21-24 yrs,280,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,19.443822860717773 +1972,6,0,other external,21-24 yrs,426,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,29.582387924194336 +1972,6,0,internal,21-24 yrs,526,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,36.526611328125 +1973,6,0,MVA,15-17 yrs,367,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,30.82562255859375 +1973,6,0,suicide,15-17 yrs,84,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,7.055455684661865 +1973,6,0,homicide,15-17 yrs,107,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,8.987306594848633 +1973,6,0,other external,15-17 yrs,208,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,17.470653533935547 +1973,6,0,internal,15-17 yrs,275,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,23.09821891784668 +1973,6,0,all,18-20 yrs,1688,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,139.74053955078125 +1973,6,0,MVA,18-20 yrs,663,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,54.8862419128418 +1973,6,0,suicide,18-20 yrs,194,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,16.06022834777832 +1973,6,0,homicide,18-20 yrs,211,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,17.467567443847656 +1973,6,0,other external,18-20 yrs,311,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,25.746034622192383 +1973,6,0,internal,18-20 yrs,309,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,25.58046531677246 +1973,6,0,all,21-24 yrs,2263,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,153.30441284179688 +1973,6,0,MVA,21-24 yrs,647,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,43.830291748046875 +1973,6,0,suicide,21-24 yrs,321,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,21.745786666870117 +1973,6,0,homicide,21-24 yrs,270,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,18.290849685668945 +1973,6,0,other external,21-24 yrs,517,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,35.023590087890625 +1973,6,0,internal,21-24 yrs,508,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,34.41389465332031 +1974,6,0,MVA,15-17 yrs,346,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,28.558670043945312 +1974,6,0,suicide,15-17 yrs,77,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,6.355542182922363 +1974,6,0,homicide,15-17 yrs,113,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,9.326964378356934 +1974,6,0,other external,15-17 yrs,191,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,15.765046119689941 +1974,6,0,internal,15-17 yrs,216,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,17.828533172607422 +1974,6,0,all,18-20 yrs,1631,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,132.5506591796875 +1974,6,0,MVA,18-20 yrs,558,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,45.34841537475586 +1974,6,0,suicide,18-20 yrs,186,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,15.116138458251953 +1974,6,0,homicide,18-20 yrs,211,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,17.147876739501953 +1974,6,0,other external,18-20 yrs,339,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,27.55038070678711 +1974,6,0,internal,18-20 yrs,337,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,27.387842178344727 +1974,6,0,all,21-24 yrs,2258,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,146.4805145263672 +1974,6,0,MVA,21-24 yrs,567,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,36.78230667114258 +1974,6,0,suicide,21-24 yrs,357,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,23.159231185913086 +1974,6,0,homicide,21-24 yrs,309,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,20.04538345336914 +1974,6,0,other external,21-24 yrs,564,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,36.58769226074219 +1974,6,0,internal,21-24 yrs,461,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,29.90589714050293 +1975,6,0,MVA,15-17 yrs,317,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,25.991552352905273 +1975,6,0,suicide,15-17 yrs,71,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,5.8214521408081055 +1975,6,0,homicide,15-17 yrs,104,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,8.527196884155273 +1975,6,0,other external,15-17 yrs,140,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,11.47891902923584 +1975,6,0,internal,15-17 yrs,243,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,19.924123764038086 +1975,6,0,all,18-20 yrs,1641,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,129.83837890625 +1975,6,0,MVA,18-20 yrs,563,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,44.54540252685547 +1975,6,0,suicide,18-20 yrs,175,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,13.846261978149414 +1975,6,0,homicide,18-20 yrs,232,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,18.35618782043457 +1975,6,0,other external,18-20 yrs,346,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,27.37603759765625 +1975,6,0,internal,18-20 yrs,325,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,25.714487075805664 +1975,6,0,all,21-24 yrs,2493,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,154.26646423339844 +1975,6,0,MVA,21-24 yrs,648,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,40.098140716552734 +1975,6,0,suicide,21-24 yrs,399,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,24.690059661865234 +1975,6,0,homicide,21-24 yrs,305,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,18.873353958129883 +1975,6,0,other external,21-24 yrs,599,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,37.0660285949707 +1975,6,0,internal,21-24 yrs,542,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,33.53887939453125 +1976,6,0,MVA,15-17 yrs,365,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,29.404325485229492 +1976,6,0,suicide,15-17 yrs,76,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,6.122544288635254 +1976,6,0,homicide,15-17 yrs,103,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,8.297658920288086 +1976,6,0,other external,15-17 yrs,156,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,12.567327499389648 +1976,6,0,internal,15-17 yrs,234,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,18.85099220275879 +1976,6,0,all,18-20 yrs,1641,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,126.61099243164062 +1976,6,0,MVA,18-20 yrs,616,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,47.52734375 +1976,6,0,suicide,18-20 yrs,180,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,13.887860298156738 +1976,6,0,homicide,18-20 yrs,229,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,17.66844367980957 +1976,6,0,other external,18-20 yrs,298,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,22.992124557495117 +1976,6,0,internal,18-20 yrs,318,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,24.535219192504883 +1976,6,0,all,21-24 yrs,2452,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,145.6559600830078 +1976,6,0,MVA,21-24 yrs,682,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,40.51279067993164 +1976,6,0,suicide,21-24 yrs,382,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,22.691913604736328 +1976,6,0,homicide,21-24 yrs,337,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,20.018783569335938 +1976,6,0,other external,21-24 yrs,560,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,33.26563262939453 +1976,6,0,internal,21-24 yrs,491,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,29.166831970214844 +1977,6,0,MVA,15-17 yrs,414,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,32.96406555175781 +1977,6,0,suicide,15-17 yrs,99,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,7.882711410522461 +1977,6,0,homicide,15-17 yrs,156,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,12.421242713928223 +1977,6,0,other external,15-17 yrs,156,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,12.421242713928223 +1977,6,0,internal,15-17 yrs,238,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,18.95035743713379 +1977,6,0,all,18-20 yrs,1801,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,136.570068359375 +1977,6,0,MVA,18-20 yrs,748,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,56.72093963623047 +1977,6,0,suicide,18-20 yrs,219,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,16.60679817199707 +1977,6,0,homicide,18-20 yrs,270,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,20.474136352539062 +1977,6,0,other external,18-20 yrs,247,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,18.73004150390625 +1977,6,0,internal,18-20 yrs,317,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,24.038150787353516 +1977,6,0,all,21-24 yrs,2536,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,145.2530975341797 +1977,6,0,MVA,21-24 yrs,842,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,48.22677993774414 +1977,6,0,suicide,21-24 yrs,476,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,27.263593673706055 +1977,6,0,homicide,21-24 yrs,366,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,20.963184356689453 +1977,6,0,other external,21-24 yrs,373,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,21.364118576049805 +1977,6,0,internal,21-24 yrs,479,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,27.435422897338867 +1978,6,0,MVA,15-17 yrs,398,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,31.45648193359375 +1978,6,0,suicide,15-17 yrs,75,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,5.92772912979126 +1978,6,0,homicide,15-17 yrs,143,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,11.302203178405762 +1978,6,0,other external,15-17 yrs,157,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,12.408713340759277 +1978,6,0,internal,15-17 yrs,248,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,19.601024627685547 +1978,6,0,all,18-20 yrs,1806,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,135.5367431640625 +1978,6,0,MVA,18-20 yrs,764,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,57.33669662475586 +1978,6,0,suicide,18-20 yrs,165,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,12.382925033569336 +1978,6,0,homicide,18-20 yrs,301,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,22.58945655822754 +1978,6,0,other external,18-20 yrs,267,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,20.037824630737305 +1978,6,0,internal,18-20 yrs,309,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,23.189842224121094 +1978,6,0,all,21-24 yrs,2580,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,142.6199188232422 +1978,6,0,MVA,21-24 yrs,889,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,49.143062591552734 +1978,6,0,suicide,21-24 yrs,378,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,20.895475387573242 +1978,6,0,homicide,21-24 yrs,398,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,22.001056671142578 +1978,6,0,other external,21-24 yrs,444,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,24.54389190673828 +1978,6,0,internal,21-24 yrs,471,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,26.036426544189453 +1979,6,0,MVA,15-17 yrs,466,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,37.277347564697266 +1979,6,0,suicide,15-17 yrs,84,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,6.719521522521973 +1979,6,0,homicide,15-17 yrs,164,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,13.11906623840332 +1979,6,0,other external,15-17 yrs,120,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,9.599316596984863 +1979,6,0,internal,15-17 yrs,195,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,15.598889350891113 +1979,6,0,all,18-20 yrs,1893,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,139.76101684570312 +1979,6,0,MVA,18-20 yrs,796,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,58.76902389526367 +1979,6,0,suicide,18-20 yrs,192,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,14.175443649291992 +1979,6,0,homicide,18-20 yrs,340,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,25.10234832763672 +1979,6,0,other external,18-20 yrs,261,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,19.269742965698242 +1979,6,0,internal,18-20 yrs,304,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,22.4444522857666 +1979,6,0,all,21-24 yrs,2639,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,141.94537353515625 +1979,6,0,MVA,21-24 yrs,895,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,48.13986587524414 +1979,6,0,suicide,21-24 yrs,346,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,18.61049461364746 +1979,6,0,homicide,21-24 yrs,487,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,26.194541931152344 +1979,6,0,other external,21-24 yrs,407,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,21.891536712646484 +1979,6,0,internal,21-24 yrs,504,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,27.108928680419922 +1980,6,0,MVA,15-17 yrs,412,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,33.571922302246094 +1980,6,0,suicide,15-17 yrs,77,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,6.274363994598389 +1980,6,0,homicide,15-17 yrs,201,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,16.3785343170166 +1980,6,0,other external,15-17 yrs,131,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,10.674567222595215 +1980,6,0,internal,15-17 yrs,237,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,19.31200408935547 +1980,6,0,all,18-20 yrs,1892,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,138.50161743164062 +1980,6,0,MVA,18-20 yrs,770,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,56.366939544677734 +1980,6,0,suicide,18-20 yrs,175,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,12.810667991638184 +1980,6,0,homicide,18-20 yrs,398,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,29.13511848449707 +1980,6,0,other external,18-20 yrs,252,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,18.44736099243164 +1980,6,0,internal,18-20 yrs,297,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,21.741533279418945 +1980,6,0,all,21-24 yrs,2562,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,134.8448028564453 +1980,6,0,MVA,21-24 yrs,875,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,46.05355453491211 +1980,6,0,suicide,21-24 yrs,301,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,15.842422485351562 +1980,6,0,homicide,21-24 yrs,534,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,28.105825424194336 +1980,6,0,other external,21-24 yrs,373,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,19.63197135925293 +1980,6,0,internal,21-24 yrs,479,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,25.211030960083008 +1981,6,0,MVA,15-17 yrs,340,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,28.710420608520508 +1981,6,0,suicide,15-17 yrs,74,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,6.248738765716553 +1981,6,0,homicide,15-17 yrs,172,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,14.52409553527832 +1981,6,0,other external,15-17 yrs,112,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,9.457550048828125 +1981,6,0,internal,15-17 yrs,158,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,13.341901779174805 +1981,6,0,all,18-20 yrs,1656,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,120.98806762695312 +1981,6,0,MVA,18-20 yrs,626,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,45.7358283996582 +1981,6,0,suicide,18-20 yrs,174,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,12.712514877319336 +1981,6,0,homicide,18-20 yrs,342,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.986665725708008 +1981,6,0,other external,18-20 yrs,228,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,16.657777786254883 +1981,6,0,internal,18-20 yrs,286,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,20.895282745361328 +1981,6,0,all,21-24 yrs,2458,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,127.17577362060547 +1981,6,0,MVA,21-24 yrs,846,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,43.77164840698242 +1981,6,0,suicide,21-24 yrs,336,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,17.384483337402344 +1981,6,0,homicide,21-24 yrs,470,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.317581176757812 +1981,6,0,other external,21-24 yrs,330,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,17.074047088623047 +1981,6,0,internal,21-24 yrs,476,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.628019332885742 +1982,6,0,MVA,15-17 yrs,270,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,23.513019561767578 +1982,6,0,suicide,15-17 yrs,66,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,5.747626781463623 +1982,6,0,homicide,15-17 yrs,106,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,9.231037139892578 +1982,6,0,other external,15-17 yrs,96,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,8.360184669494629 +1982,6,0,internal,15-17 yrs,206,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,17.939563751220703 +1982,6,0,all,18-20 yrs,1486,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,109.35298919677734 +1982,6,0,MVA,18-20 yrs,546,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,40.17949676513672 +1982,6,0,suicide,18-20 yrs,190,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,13.981876373291016 +1982,6,0,homicide,18-20 yrs,284,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,20.89922523498535 +1982,6,0,other external,18-20 yrs,196,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,14.423409461975098 +1982,6,0,internal,18-20 yrs,270,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,19.868982315063477 +1982,6,0,all,21-24 yrs,2422,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,123.75257110595703 +1982,6,0,MVA,21-24 yrs,742,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,37.91263961791992 +1982,6,0,suicide,21-24 yrs,338,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,17.270177841186523 +1982,6,0,homicide,21-24 yrs,458,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,23.401601791381836 +1982,6,0,other external,21-24 yrs,354,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,18.08769989013672 +1982,6,0,internal,21-24 yrs,530,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,27.080455780029297 +1983,6,0,MVA,15-17 yrs,241,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,21.304393768310547 +1983,6,0,suicide,15-17 yrs,82,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,7.248798370361328 +1983,6,0,homicide,15-17 yrs,112,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,9.900797843933105 +1983,6,0,other external,15-17 yrs,107,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,9.458797454833984 +1983,6,0,internal,15-17 yrs,187,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,16.53079605102539 +1983,6,0,all,18-20 yrs,1369,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,102.10086059570312 +1983,6,0,MVA,18-20 yrs,549,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,40.94475555419922 +1983,6,0,suicide,18-20 yrs,163,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,12.15664005279541 +1983,6,0,homicide,18-20 yrs,250,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,18.645153045654297 +1983,6,0,other external,18-20 yrs,173,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,12.902446746826172 +1983,6,0,internal,18-20 yrs,234,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,17.45186424255371 +1983,6,0,all,21-24 yrs,2257,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,114.34720611572266 +1983,6,0,MVA,21-24 yrs,730,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,36.9842529296875 +1983,6,0,suicide,21-24 yrs,292,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,14.793701171875 +1983,6,0,homicide,21-24 yrs,426,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,21.582592010498047 +1983,6,0,other external,21-24 yrs,340,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,17.225542068481445 +1983,6,0,internal,21-24 yrs,469,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,23.76111602783203 +1984,6,0,MVA,15-17 yrs,286,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,25.06366729736328 +1984,6,0,suicide,15-17 yrs,71,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,6.222099304199219 +1984,6,0,homicide,15-17 yrs,109,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,9.552236557006836 +1984,6,0,other external,15-17 yrs,113,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,9.902777671813965 +1984,6,0,internal,15-17 yrs,163,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,14.284537315368652 +1984,6,0,all,18-20 yrs,1469,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,112.6727294921875 +1984,6,0,MVA,18-20 yrs,631,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,48.397884368896484 +1984,6,0,suicide,18-20 yrs,161,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,12.348747253417969 +1984,6,0,homicide,18-20 yrs,247,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,18.94497299194336 +1984,6,0,other external,18-20 yrs,182,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,13.959453582763672 +1984,6,0,internal,18-20 yrs,248,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,19.02167320251465 +1984,6,0,all,21-24 yrs,2365,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,118.55509948730469 +1984,6,0,MVA,21-24 yrs,805,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,40.353851318359375 +1984,6,0,suicide,21-24 yrs,343,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,17.194250106811523 +1984,6,0,homicide,21-24 yrs,410,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,20.552892684936523 +1984,6,0,other external,21-24 yrs,336,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,16.843345642089844 +1984,6,0,internal,21-24 yrs,471,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,23.610761642456055 +1985,6,0,MVA,15-17 yrs,319,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,27.187368392944336 +1985,6,0,suicide,15-17 yrs,90,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,7.670417308807373 +1985,6,0,homicide,15-17 yrs,114,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,9.715862274169922 +1985,6,0,other external,15-17 yrs,82,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,6.988602638244629 +1985,6,0,internal,15-17 yrs,189,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,16.10787582397461 +1985,6,0,all,18-20 yrs,1414,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,110.7876968383789 +1985,6,0,MVA,18-20 yrs,576,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,45.12992477416992 +1985,6,0,suicide,18-20 yrs,152,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,11.909285545349121 +1985,6,0,homicide,18-20 yrs,257,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,20.13609504699707 +1985,6,0,other external,18-20 yrs,171,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,13.39794635772705 +1985,6,0,internal,18-20 yrs,258,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,20.214445114135742 +1985,6,0,all,21-24 yrs,2386,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,118.14823150634766 +1985,6,0,MVA,21-24 yrs,801,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,39.6633415222168 +1985,6,0,suicide,21-24 yrs,345,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,17.08346176147461 +1985,6,0,homicide,21-24 yrs,438,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,21.688568115234375 +1985,6,0,other external,21-24 yrs,337,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,16.68732452392578 +1985,6,0,internal,21-24 yrs,465,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,23.025535583496094 +1986,6,0,MVA,15-17 yrs,334,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,27.478540420532227 +1986,6,0,suicide,15-17 yrs,102,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,8.391650199890137 +1986,6,0,homicide,15-17 yrs,139,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,11.43567943572998 +1986,6,0,other external,15-17 yrs,110,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,9.04981803894043 +1986,6,0,internal,15-17 yrs,193,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.878317832946777 +1986,6,0,all,18-20 yrs,1491,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,117.54966735839844 +1986,6,0,MVA,18-20 yrs,600,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,47.303688049316406 +1986,6,0,suicide,18-20 yrs,149,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,11.747082710266113 +1986,6,0,homicide,18-20 yrs,317,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,24.992116928100586 +1986,6,0,other external,18-20 yrs,191,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.058341026306152 +1986,6,0,internal,18-20 yrs,234,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,18.44843864440918 +1986,6,0,all,21-24 yrs,2462,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,121.66339874267578 +1986,6,0,MVA,21-24 yrs,784,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,38.74252700805664 +1986,6,0,suicide,21-24 yrs,349,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,17.246355056762695 +1986,6,0,homicide,21-24 yrs,489,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,24.164663314819336 +1986,6,0,other external,21-24 yrs,316,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.61561107635498 +1986,6,0,internal,21-24 yrs,524,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,25.894241333007812 +1987,6,0,MVA,15-17 yrs,314,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,25.85826301574707 +1987,6,0,suicide,15-17 yrs,83,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,6.835145950317383 +1987,6,0,homicide,15-17 yrs,136,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,11.19975757598877 +1987,6,0,other external,15-17 yrs,75,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,6.176336765289307 +1987,6,0,internal,15-17 yrs,204,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,16.799636840820312 +1987,6,0,all,18-20 yrs,1442,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,111.13431549072266 +1987,6,0,MVA,18-20 yrs,604,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,46.550018310546875 +1987,6,0,suicide,18-20 yrs,157,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,12.099922180175781 +1987,6,0,homicide,18-20 yrs,286,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,22.04189682006836 +1987,6,0,other external,18-20 yrs,153,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,11.791644096374512 +1987,6,0,internal,18-20 yrs,242,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,18.650835037231445 +1987,6,0,all,21-24 yrs,2390,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,118.53929901123047 +1987,6,0,MVA,21-24 yrs,747,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,37.04973220825195 +1987,6,0,suicide,21-24 yrs,302,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,14.978606224060059 +1987,6,0,homicide,21-24 yrs,477,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,23.658262252807617 +1987,6,0,other external,21-24 yrs,280,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,13.887449264526367 +1987,6,0,internal,21-24 yrs,584,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,28.965251922607422 +1988,6,0,MVA,15-17 yrs,259,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,21.82101821899414 +1988,6,0,suicide,15-17 yrs,91,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,7.666844367980957 +1988,6,0,homicide,15-17 yrs,151,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.721906661987305 +1988,6,0,other external,15-17 yrs,80,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,6.74008321762085 +1988,6,0,internal,15-17 yrs,192,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,16.176198959350586 +1988,6,0,all,18-20 yrs,1549,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,114.57482147216797 +1988,6,0,MVA,18-20 yrs,601,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,44.45414352416992 +1988,6,0,suicide,18-20 yrs,166,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.278514862060547 +1988,6,0,homicide,18-20 yrs,340,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,25.148765563964844 +1988,6,0,other external,18-20 yrs,161,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,11.908679962158203 +1988,6,0,internal,18-20 yrs,281,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,20.78471565246582 +1988,6,0,all,21-24 yrs,2291,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,114.2714614868164 +1988,6,0,MVA,21-24 yrs,722,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,36.0122184753418 +1988,6,0,suicide,21-24 yrs,271,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,13.51705265045166 +1988,6,0,homicide,21-24 yrs,450,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,22.445289611816406 +1988,6,0,other external,21-24 yrs,256,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.768876075744629 +1988,6,0,internal,21-24 yrs,592,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,29.528024673461914 +1989,6,0,MVA,15-17 yrs,299,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,25.94981575012207 +1989,6,0,suicide,15-17 yrs,89,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,7.7241926193237305 +1989,6,0,homicide,15-17 yrs,204,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,17.704891204833984 +1989,6,0,other external,15-17 yrs,81,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,7.029882907867432 +1989,6,0,internal,15-17 yrs,182,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,15.795539855957031 +1989,6,0,all,18-20 yrs,1536,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,108.28247833251953 +1989,6,0,MVA,18-20 yrs,576,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,40.60593032836914 +1989,6,0,suicide,18-20 yrs,171,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,12.054885864257812 +1989,6,0,homicide,18-20 yrs,378,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,26.647642135620117 +1989,6,0,other external,18-20 yrs,160,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,11.279425621032715 +1989,6,0,internal,18-20 yrs,251,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,17.694599151611328 +1989,6,0,all,21-24 yrs,2284,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,113.72615814208984 +1989,6,0,MVA,21-24 yrs,715,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,35.60166549682617 +1989,6,0,suicide,21-24 yrs,280,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,13.941910743713379 +1989,6,0,homicide,21-24 yrs,462,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,23.004152297973633 +1989,6,0,other external,21-24 yrs,278,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,13.842326164245605 +1989,6,0,internal,21-24 yrs,549,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,27.336103439331055 +1990,6,0,MVA,15-17 yrs,237,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,20.240131378173828 +1990,6,0,suicide,15-17 yrs,88,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,7.515323162078857 +1990,6,0,homicide,15-17 yrs,250,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,21.35034942626953 +1990,6,0,other external,15-17 yrs,94,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,8.027731895446777 +1990,6,0,internal,15-17 yrs,190,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,16.22626495361328 +1990,6,0,all,18-20 yrs,1542,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,109.04785919189453 +1990,6,0,MVA,18-20 yrs,544,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,38.47084045410156 +1990,6,0,suicide,18-20 yrs,167,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,11.809982299804688 +1990,6,0,homicide,18-20 yrs,434,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,30.691810607910156 +1990,6,0,other external,18-20 yrs,143,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,10.112739562988281 +1990,6,0,internal,18-20 yrs,254,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,17.962488174438477 +1990,6,0,all,21-24 yrs,2404,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,119.53585815429688 +1990,6,0,MVA,21-24 yrs,735,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,36.54694366455078 +1990,6,0,suicide,21-24 yrs,267,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,13.276237487792969 +1990,6,0,homicide,21-24 yrs,612,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,30.430925369262695 +1990,6,0,other external,21-24 yrs,214,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,10.64087963104248 +1990,6,0,internal,21-24 yrs,576,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,28.640871047973633 +1991,6,0,MVA,15-17 yrs,235,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,20.25457000732422 +1991,6,0,suicide,15-17 yrs,81,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,6.981362342834473 +1991,6,0,homicide,15-17 yrs,320,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,27.580690383911133 +1991,6,0,other external,15-17 yrs,73,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,6.291844844818115 +1991,6,0,internal,15-17 yrs,179,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,15.427948951721191 +1991,6,0,all,18-20 yrs,1615,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,120.68152618408203 +1991,6,0,MVA,18-20 yrs,495,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,36.98907470703125 +1991,6,0,suicide,18-20 yrs,187,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,13.973649978637695 +1991,6,0,homicide,18-20 yrs,530,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,39.604461669921875 +1991,6,0,other external,18-20 yrs,146,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,10.90990924835205 +1991,6,0,internal,18-20 yrs,257,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,19.20442771911621 +1991,6,0,all,21-24 yrs,2270,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,114.10974884033203 +1991,6,0,MVA,21-24 yrs,630,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,31.66922378540039 +1991,6,0,suicide,21-24 yrs,237,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,11.913661003112793 +1991,6,0,homicide,21-24 yrs,657,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,33.0264778137207 +1991,6,0,other external,21-24 yrs,222,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,11.159631729125977 +1991,6,0,internal,21-24 yrs,524,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,26.34075164794922 +1992,6,0,MVA,15-17 yrs,218,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,18.494590759277344 +1992,6,0,suicide,15-17 yrs,84,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,7.12635612487793 +1992,6,0,homicide,15-17 yrs,313,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,26.554161071777344 +1992,6,0,other external,15-17 yrs,80,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,6.78700590133667 +1992,6,0,internal,15-17 yrs,198,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,16.797840118408203 +1992,6,0,all,18-20 yrs,1468,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,115.32847595214844 +1992,6,0,MVA,18-20 yrs,404,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,31.73889923095703 +1992,6,0,suicide,18-20 yrs,152,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.941368103027344 +1992,6,0,homicide,18-20 yrs,522,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,41.00917053222656 +1992,6,0,other external,18-20 yrs,142,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.15575122833252 +1992,6,0,internal,18-20 yrs,248,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,19.48328399658203 +1992,6,0,all,21-24 yrs,2179,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,110.22959899902344 +1992,6,0,MVA,21-24 yrs,498,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,25.192445755004883 +1992,6,0,suicide,21-24 yrs,245,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,12.393874168395996 +1992,6,0,homicide,21-24 yrs,699,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,35.36048126220703 +1992,6,0,other external,21-24 yrs,234,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.837414741516113 +1992,6,0,internal,21-24 yrs,503,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,25.445383071899414 +1993,6,0,MVA,15-17 yrs,207,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,17.44703483581543 +1993,6,0,suicide,15-17 yrs,103,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,8.681374549865723 +1993,6,0,homicide,15-17 yrs,328,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,27.645544052124023 +1993,6,0,other external,15-17 yrs,85,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,7.164241313934326 +1993,6,0,internal,15-17 yrs,191,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,16.098472595214844 +1993,6,0,all,18-20 yrs,1397,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,112.10609436035156 +1993,6,0,MVA,18-20 yrs,338,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,27.123737335205078 +1993,6,0,suicide,18-20 yrs,150,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,12.037160873413086 +1993,6,0,homicide,18-20 yrs,531,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,42.611549377441406 +1993,6,0,other external,18-20 yrs,123,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,9.870471954345703 +1993,6,0,internal,18-20 yrs,255,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,20.46317481994629 +1993,6,0,all,21-24 yrs,2220,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,115.36980438232422 +1993,6,0,MVA,21-24 yrs,518,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,26.919620513916016 +1993,6,0,suicide,21-24 yrs,263,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,13.667683601379395 +1993,6,0,homicide,21-24 yrs,705,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,36.6377067565918 +1993,6,0,other external,21-24 yrs,247,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,12.836190223693848 +1993,6,0,internal,21-24 yrs,487,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,25.30860137939453 +1994,6,0,MVA,15-17 yrs,218,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,17.97893714904785 +1994,6,0,suicide,15-17 yrs,82,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,6.76271915435791 +1994,6,0,homicide,15-17 yrs,316,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,26.06121063232422 +1994,6,0,other external,15-17 yrs,66,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,5.443164348602295 +1994,6,0,internal,15-17 yrs,169,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,13.937799453735352 +1994,6,0,all,18-20 yrs,1403,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,114.1221923828125 +1994,6,0,MVA,18-20 yrs,374,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,30.42173957824707 +1994,6,0,suicide,18-20 yrs,144,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,11.713183403015137 +1994,6,0,homicide,18-20 yrs,532,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,43.273704528808594 +1994,6,0,other external,18-20 yrs,115,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,9.354278564453125 +1994,6,0,internal,18-20 yrs,238,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,19.359289169311523 +1994,6,0,all,21-24 yrs,1961,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,106.10472869873047 +1994,6,0,MVA,21-24 yrs,402,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,21.751197814941406 +1994,6,0,suicide,21-24 yrs,291,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,15.745270729064941 +1994,6,0,homicide,21-24 yrs,577,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,31.22000503540039 +1994,6,0,other external,21-24 yrs,220,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,11.903640747070312 +1994,6,0,internal,21-24 yrs,471,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,25.4846134185791 +1995,6,0,MVA,15-17 yrs,211,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,16.93724822998047 +1995,6,0,suicide,15-17 yrs,80,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,6.42170524597168 +1995,6,0,homicide,15-17 yrs,324,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,26.007905960083008 +1995,6,0,other external,15-17 yrs,68,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,5.458449363708496 +1995,6,0,internal,15-17 yrs,188,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,15.091007232666016 +1995,6,0,all,18-20 yrs,1408,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,112.59622192382812 +1995,6,0,MVA,18-20 yrs,352,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,28.14905548095703 +1995,6,0,suicide,18-20 yrs,155,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,12.395180702209473 +1995,6,0,homicide,18-20 yrs,501,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,40.064422607421875 +1995,6,0,other external,18-20 yrs,138,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,11.035709381103516 +1995,6,0,internal,18-20 yrs,262,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,20.951854705810547 +1995,6,0,all,21-24 yrs,1908,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,108.24690246582031 +1995,6,0,MVA,21-24 yrs,437,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,24.79239845275879 +1995,6,0,suicide,21-24 yrs,255,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,14.466960906982422 +1995,6,0,homicide,21-24 yrs,526,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,29.841651916503906 +1995,6,0,other external,21-24 yrs,187,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,10.60910415649414 +1995,6,0,internal,21-24 yrs,503,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,28.536788940429688 +1996,6,0,MVA,15-17 yrs,204,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,15.779214859008789 +1996,6,0,suicide,15-17 yrs,88,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,6.80672025680542 +1996,6,0,homicide,15-17 yrs,243,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,18.79582977294922 +1996,6,0,other external,15-17 yrs,85,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,6.574672698974609 +1996,6,0,internal,15-17 yrs,188,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,14.54162883758545 +1996,6,0,all,18-20 yrs,1215,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,95.52803039550781 +1996,6,0,MVA,18-20 yrs,294,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,23.11542510986328 +1996,6,0,suicide,18-20 yrs,133,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,10.456977844238281 +1996,6,0,homicide,18-20 yrs,406,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,31.921300888061523 +1996,6,0,other external,18-20 yrs,127,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,9.985234260559082 +1996,6,0,internal,18-20 yrs,255,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,20.04909324645996 +1996,6,0,all,21-24 yrs,1608,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,94.00006866455078 +1996,6,0,MVA,21-24 yrs,381,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,22.27240562438965 +1996,6,0,suicide,21-24 yrs,187,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,10.931600570678711 +1996,6,0,homicide,21-24 yrs,399,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,23.324644088745117 +1996,6,0,other external,21-24 yrs,202,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,11.808466911315918 +1996,6,0,internal,21-24 yrs,439,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,25.662954330444336 +1970,8,1,MVA,15-17 yrs,64,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,49.230010986328125 +1970,8,1,suicide,15-17 yrs,16,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,12.307502746582031 +1970,8,1,homicide,15-17 yrs,6,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,4.615313529968262 +1970,8,1,other external,15-17 yrs,29,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,22.307348251342773 +1970,8,1,internal,15-17 yrs,35,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,26.92266273498535 +1970,8,1,all,18-20 yrs,207,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,157.02040100097656 +1970,8,1,MVA,18-20 yrs,79,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,59.925662994384766 +1970,8,1,suicide,18-20 yrs,14,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,10.61973762512207 +1970,8,1,homicide,18-20 yrs,12,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,9.102632522583008 +1970,8,1,other external,18-20 yrs,45,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,34.13487243652344 +1970,8,1,internal,18-20 yrs,57,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,43.23750305175781 +1970,8,1,all,21-24 yrs,255,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,158.71632385253906 +1970,8,1,MVA,21-24 yrs,91,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,56.63994598388672 +1970,8,1,suicide,21-24 yrs,35,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,21.78459358215332 +1970,8,1,homicide,21-24 yrs,16,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,9.958671569824219 +1970,8,1,other external,21-24 yrs,36,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,22.407011032104492 +1970,8,1,internal,21-24 yrs,77,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,47.92610549926758 +1971,8,1,MVA,15-17 yrs,58,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,42.32341003417969 +1971,8,1,suicide,15-17 yrs,12,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,8.756567001342773 +1971,8,1,homicide,15-17 yrs,9,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,6.567425727844238 +1971,8,1,other external,15-17 yrs,38,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,27.729129791259766 +1971,8,1,internal,15-17 yrs,56,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,40.863983154296875 +1971,8,1,all,18-20 yrs,181,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,129.4086456298828 +1971,8,1,MVA,18-20 yrs,59,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,42.18292999267578 +1971,8,1,suicide,18-20 yrs,31,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,22.16391372680664 +1971,8,1,homicide,18-20 yrs,9,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,6.4346842765808105 +1971,8,1,other external,18-20 yrs,38,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,27.16866683959961 +1971,8,1,internal,18-20 yrs,44,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,31.45845603942871 +1971,8,1,all,21-24 yrs,274,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,154.55514526367188 +1971,8,1,MVA,21-24 yrs,91,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,51.330360412597656 +1971,8,1,suicide,21-24 yrs,35,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,19.74244499206543 +1971,8,1,homicide,21-24 yrs,20,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,11.281397819519043 +1971,8,1,other external,21-24 yrs,46,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,25.947214126586914 +1971,8,1,internal,21-24 yrs,82,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,46.25373077392578 +1972,8,1,MVA,15-17 yrs,66,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,45.67537307739258 +1972,8,1,suicide,15-17 yrs,12,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,8.30461311340332 +1972,8,1,homicide,15-17 yrs,14,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,9.688714981079102 +1972,8,1,other external,15-17 yrs,38,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,26.297941207885742 +1972,8,1,internal,15-17 yrs,36,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,24.91383934020996 +1972,8,1,all,18-20 yrs,242,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,161.74957275390625 +1972,8,1,MVA,18-20 yrs,94,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,62.828346252441406 +1972,8,1,suicide,18-20 yrs,30,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,20.051599502563477 +1972,8,1,homicide,18-20 yrs,20,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,13.367733001708984 +1972,8,1,other external,18-20 yrs,50,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,33.41933059692383 +1972,8,1,internal,18-20 yrs,48,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,32.082557678222656 +1972,8,1,all,21-24 yrs,306,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,164.97201538085938 +1972,8,1,MVA,21-24 yrs,88,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,47.44293212890625 +1972,8,1,suicide,21-24 yrs,54,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,29.112709045410156 +1972,8,1,homicide,21-24 yrs,26,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,14.017230033874512 +1972,8,1,other external,21-24 yrs,62,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,33.42570495605469 +1972,8,1,internal,21-24 yrs,76,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,40.97344207763672 +1973,8,1,MVA,15-17 yrs,46,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,30.42146873474121 +1973,8,1,suicide,15-17 yrs,11,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,7.2746992111206055 +1973,8,1,homicide,15-17 yrs,8,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,5.2906904220581055 +1973,8,1,other external,15-17 yrs,31,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,20.50142478942871 +1973,8,1,internal,15-17 yrs,38,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,25.130779266357422 +1973,8,1,all,18-20 yrs,229,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,144.9101104736328 +1973,8,1,MVA,18-20 yrs,75,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,47.45964431762695 +1973,8,1,suicide,18-20 yrs,33,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,20.88224220275879 +1973,8,1,homicide,18-20 yrs,16,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,10.124724388122559 +1973,8,1,other external,18-20 yrs,50,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,31.63976287841797 +1973,8,1,internal,18-20 yrs,55,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,34.80373764038086 +1973,8,1,all,21-24 yrs,340,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,173.46408081054688 +1973,8,1,MVA,21-24 yrs,124,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,63.263370513916016 +1973,8,1,suicide,21-24 yrs,48,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,24.489046096801758 +1973,8,1,homicide,21-24 yrs,32,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,16.326030731201172 +1973,8,1,other external,21-24 yrs,54,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,27.5501766204834 +1973,8,1,internal,21-24 yrs,82,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,41.835453033447266 +1974,8,1,MVA,15-17 yrs,58,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,37.51762771606445 +1974,8,1,suicide,15-17 yrs,14,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.055978775024414 +1974,8,1,homicide,15-17 yrs,4,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,2.5874226093292236 +1974,8,1,other external,15-17 yrs,33,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,21.346235275268555 +1974,8,1,internal,15-17 yrs,38,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,24.580514907836914 +1974,8,1,all,18-20 yrs,213,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,132.02261352539062 +1974,8,1,MVA,18-20 yrs,88,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,54.544551849365234 +1974,8,1,suicide,18-20 yrs,27,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,16.735260009765625 +1974,8,1,homicide,18-20 yrs,16,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.917191505432129 +1974,8,1,other external,18-20 yrs,39,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,24.173154830932617 +1974,8,1,internal,18-20 yrs,43,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,26.65245246887207 +1974,8,1,all,21-24 yrs,319,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,159.0546417236328 +1974,8,1,MVA,21-24 yrs,109,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,54.34782791137695 +1974,8,1,suicide,21-24 yrs,47,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,23.434383392333984 +1974,8,1,homicide,21-24 yrs,20,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.972078323364258 +1974,8,1,other external,21-24 yrs,65,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,32.40925598144531 +1974,8,1,internal,21-24 yrs,78,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,38.89110565185547 +1975,8,1,MVA,15-17 yrs,39,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,25.078933715820312 +1975,8,1,suicide,15-17 yrs,12,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,7.71659517288208 +1975,8,1,homicide,15-17 yrs,7,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,4.501347064971924 +1975,8,1,other external,15-17 yrs,31,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,19.934537887573242 +1975,8,1,internal,15-17 yrs,28,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,18.005388259887695 +1975,8,1,all,18-20 yrs,209,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,126.64287567138672 +1975,8,1,MVA,18-20 yrs,79,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,47.86979293823242 +1975,8,1,suicide,18-20 yrs,18,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,10.907041549682617 +1975,8,1,homicide,18-20 yrs,23,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,13.936775207519531 +1975,8,1,other external,18-20 yrs,54,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,32.721126556396484 +1975,8,1,internal,18-20 yrs,35,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,21.20813751220703 +1975,8,1,all,21-24 yrs,316,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,151.27072143554688 +1975,8,1,MVA,21-24 yrs,98,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,46.91307067871094 +1975,8,1,suicide,21-24 yrs,54,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,25.850059509277344 +1975,8,1,homicide,21-24 yrs,33,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,15.797259330749512 +1975,8,1,other external,21-24 yrs,64,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,30.637107849121094 +1975,8,1,internal,21-24 yrs,67,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,32.07322311401367 +1976,8,1,MVA,15-17 yrs,44,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,27.921085357666016 +1976,8,1,suicide,15-17 yrs,11,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,6.980271339416504 +1976,8,1,homicide,15-17 yrs,5,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,3.1728506088256836 +1976,8,1,other external,15-17 yrs,33,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,20.940813064575195 +1976,8,1,internal,15-17 yrs,25,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,15.864253044128418 +1976,8,1,all,18-20 yrs,218,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,129.078857421875 +1976,8,1,MVA,18-20 yrs,88,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,52.105228424072266 +1976,8,1,suicide,18-20 yrs,27,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,15.986831665039062 +1976,8,1,homicide,18-20 yrs,18,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,10.65788745880127 +1976,8,1,other external,18-20 yrs,40,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,23.684194564819336 +1976,8,1,internal,18-20 yrs,45,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,26.64472007751465 +1976,8,1,all,21-24 yrs,299,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,138.6088104248047 +1976,8,1,MVA,21-24 yrs,93,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,43.1124382019043 +1976,8,1,suicide,21-24 yrs,56,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,25.96017837524414 +1976,8,1,homicide,21-24 yrs,22,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,10.198641777038574 +1976,8,1,other external,21-24 yrs,73,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,33.840946197509766 +1976,8,1,internal,21-24 yrs,55,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,25.496604919433594 +1977,8,1,MVA,15-17 yrs,75,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,47.13838577270508 +1977,8,1,suicide,15-17 yrs,16,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,10.056188583374023 +1977,8,1,homicide,15-17 yrs,6,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,3.771070957183838 +1977,8,1,other external,15-17 yrs,28,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,17.598331451416016 +1977,8,1,internal,15-17 yrs,27,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,16.969818115234375 +1977,8,1,all,18-20 yrs,204,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,118.75931549072266 +1977,8,1,MVA,18-20 yrs,85,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,49.48304748535156 +1977,8,1,suicide,18-20 yrs,16,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,9.31445598602295 +1977,8,1,homicide,18-20 yrs,22,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,12.807376861572266 +1977,8,1,other external,18-20 yrs,37,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,21.53968048095703 +1977,8,1,internal,18-20 yrs,44,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,25.61475372314453 +1977,8,1,all,21-24 yrs,302,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,135.48797607421875 +1977,8,1,MVA,21-24 yrs,119,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,53.38764953613281 +1977,8,1,suicide,21-24 yrs,64,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,28.712684631347656 +1977,8,1,homicide,21-24 yrs,25,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,11.215892791748047 +1977,8,1,other external,21-24 yrs,46,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,20.63724136352539 +1977,8,1,internal,21-24 yrs,48,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,21.534513473510742 +1978,8,1,MVA,15-17 yrs,59,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,37.06542205810547 +1978,8,1,suicide,15-17 yrs,6,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,3.769365072250366 +1978,8,1,homicide,15-17 yrs,11,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,6.910502910614014 +1978,8,1,other external,15-17 yrs,30,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,18.846824645996094 +1978,8,1,internal,15-17 yrs,36,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,22.61618995666504 +1978,8,1,all,18-20 yrs,236,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,135.80076599121094 +1978,8,1,MVA,18-20 yrs,101,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,58.11812210083008 +1978,8,1,suicide,18-20 yrs,26,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,14.961101531982422 +1978,8,1,homicide,18-20 yrs,15,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,8.631404876708984 +1978,8,1,other external,18-20 yrs,45,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,25.89421272277832 +1978,8,1,internal,18-20 yrs,49,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,28.195920944213867 +1978,8,1,all,21-24 yrs,335,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,144.71279907226562 +1978,8,1,MVA,21-24 yrs,118,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,50.97346496582031 +1978,8,1,suicide,21-24 yrs,55,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,23.758817672729492 +1978,8,1,homicide,21-24 yrs,29,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,12.527376174926758 +1978,8,1,other external,21-24 yrs,61,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,26.350688934326172 +1978,8,1,internal,21-24 yrs,72,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,31.102453231811523 +1979,8,1,MVA,15-17 yrs,41,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,26.140291213989258 +1979,8,1,suicide,15-17 yrs,13,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,8.288384437561035 +1979,8,1,homicide,15-17 yrs,8,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,5.100544452667236 +1979,8,1,other external,15-17 yrs,30,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,19.12704086303711 +1979,8,1,internal,15-17 yrs,26,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,16.57676887512207 +1979,8,1,all,18-20 yrs,244,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,137.50042724609375 +1979,8,1,MVA,18-20 yrs,101,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,56.91615676879883 +1979,8,1,suicide,18-20 yrs,31,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,17.469316482543945 +1979,8,1,homicide,18-20 yrs,20,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,11.270526885986328 +1979,8,1,other external,18-20 yrs,47,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,26.485736846923828 +1979,8,1,internal,18-20 yrs,45,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,25.358684539794922 +1979,8,1,all,21-24 yrs,345,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,144.353271484375 +1979,8,1,MVA,21-24 yrs,129,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,53.9755744934082 +1979,8,1,suicide,21-24 yrs,55,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,23.012840270996094 +1979,8,1,homicide,21-24 yrs,26,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,10.87879753112793 +1979,8,1,other external,21-24 yrs,74,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,30.962732315063477 +1979,8,1,internal,21-24 yrs,61,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,25.523332595825195 +1980,8,1,MVA,15-17 yrs,53,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,34.8331298828125 +1980,8,1,suicide,15-17 yrs,17,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,11.172890663146973 +1980,8,1,homicide,15-17 yrs,6,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,3.943373203277588 +1980,8,1,other external,15-17 yrs,21,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,13.801806449890137 +1980,8,1,internal,15-17 yrs,28,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,18.402408599853516 +1980,8,1,all,18-20 yrs,206,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,117.49809265136719 +1980,8,1,MVA,18-20 yrs,96,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,54.75638961791992 +1980,8,1,suicide,18-20 yrs,28,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,15.970614433288574 +1980,8,1,homicide,18-20 yrs,12,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,6.84454870223999 +1980,8,1,other external,18-20 yrs,37,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,21.10402488708496 +1980,8,1,internal,18-20 yrs,33,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,18.822509765625 +1980,8,1,all,21-24 yrs,318,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,130.92723083496094 +1980,8,1,MVA,21-24 yrs,119,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,48.99478530883789 +1980,8,1,suicide,21-24 yrs,55,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,22.6446475982666 +1980,8,1,homicide,21-24 yrs,32,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,13.175067901611328 +1980,8,1,other external,21-24 yrs,50,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,20.586044311523438 +1980,8,1,internal,21-24 yrs,62,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,25.52669334411621 +1981,8,1,MVA,15-17 yrs,38,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,25.8920841217041 +1981,8,1,suicide,15-17 yrs,12,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.176447868347168 +1981,8,1,homicide,15-17 yrs,9,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,6.132335662841797 +1981,8,1,other external,15-17 yrs,13,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.857818603515625 +1981,8,1,internal,15-17 yrs,33,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,22.485231399536133 +1981,8,1,all,18-20 yrs,217,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,125.90000915527344 +1981,8,1,MVA,18-20 yrs,87,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,50.47603988647461 +1981,8,1,suicide,18-20 yrs,33,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,19.14608383178711 +1981,8,1,homicide,18-20 yrs,15,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.702765464782715 +1981,8,1,other external,18-20 yrs,40,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,23.207374572753906 +1981,8,1,internal,18-20 yrs,42,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,24.36774444580078 +1981,8,1,all,21-24 yrs,366,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,150.283935546875 +1981,8,1,MVA,21-24 yrs,142,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,58.306884765625 +1981,8,1,suicide,21-24 yrs,57,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,23.404874801635742 +1981,8,1,homicide,21-24 yrs,40,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,16.424474716186523 +1981,8,1,other external,21-24 yrs,64,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,26.279157638549805 +1981,8,1,internal,21-24 yrs,63,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,25.868547439575195 +1982,8,1,MVA,15-17 yrs,27,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,18.942583084106445 +1982,8,1,suicide,15-17 yrs,8,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,5.612617015838623 +1982,8,1,homicide,15-17 yrs,10,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,7.015771389007568 +1982,8,1,other external,15-17 yrs,24,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,16.83785057067871 +1982,8,1,internal,15-17 yrs,24,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,16.83785057067871 +1982,8,1,all,18-20 yrs,204,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,121.42784881591797 +1982,8,1,MVA,18-20 yrs,97,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,57.73775100708008 +1982,8,1,suicide,18-20 yrs,30,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,17.857036590576172 +1982,8,1,homicide,18-20 yrs,14,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,8.333283424377441 +1982,8,1,other external,18-20 yrs,33,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,19.64274024963379 +1982,8,1,internal,18-20 yrs,30,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,17.857036590576172 +1982,8,1,all,21-24 yrs,312,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,127.9916000366211 +1982,8,1,MVA,21-24 yrs,110,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,45.125244140625 +1982,8,1,suicide,21-24 yrs,55,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,22.5626220703125 +1982,8,1,homicide,21-24 yrs,30,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,12.306884765625 +1982,8,1,other external,21-24 yrs,59,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,24.20353889465332 +1982,8,1,internal,21-24 yrs,58,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,23.793310165405273 +1983,8,1,MVA,15-17 yrs,43,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,30.532617568969727 +1983,8,1,suicide,15-17 yrs,9,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,6.390547752380371 +1983,8,1,homicide,15-17 yrs,7,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,4.970426082611084 +1983,8,1,other external,15-17 yrs,17,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,12.07103443145752 +1983,8,1,internal,15-17 yrs,22,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,15.621338844299316 +1983,8,1,all,18-20 yrs,180,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,110.4843521118164 +1983,8,1,MVA,18-20 yrs,71,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,43.57993698120117 +1983,8,1,suicide,18-20 yrs,27,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,16.57265281677246 +1983,8,1,homicide,18-20 yrs,11,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,6.751821517944336 +1983,8,1,other external,18-20 yrs,25,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,15.345048904418945 +1983,8,1,internal,18-20 yrs,46,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,28.23488998413086 +1983,8,1,all,21-24 yrs,291,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,120.66177368164062 +1983,8,1,MVA,21-24 yrs,108,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,44.78168869018555 +1983,8,1,suicide,21-24 yrs,56,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,23.220134735107422 +1983,8,1,homicide,21-24 yrs,27,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,11.195422172546387 +1983,8,1,other external,21-24 yrs,41,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,17.000455856323242 +1983,8,1,internal,21-24 yrs,59,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,24.46407127380371 +1984,8,1,MVA,15-17 yrs,61,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,42.811222076416016 +1984,8,1,suicide,15-17 yrs,17,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,11.930996894836426 +1984,8,1,homicide,15-17 yrs,7,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,4.912763595581055 +1984,8,1,other external,15-17 yrs,16,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,11.22917366027832 +1984,8,1,internal,15-17 yrs,24,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,16.843759536743164 +1984,8,1,all,18-20 yrs,158,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,101.81002807617188 +1984,8,1,MVA,18-20 yrs,78,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,50.26064682006836 +1984,8,1,suicide,18-20 yrs,22,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,14.176079750061035 +1984,8,1,homicide,18-20 yrs,14,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,9.02114200592041 +1984,8,1,other external,18-20 yrs,19,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,12.2429780960083 +1984,8,1,internal,18-20 yrs,25,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,16.109182357788086 +1984,8,1,all,21-24 yrs,283,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,120.63497161865234 +1984,8,1,MVA,21-24 yrs,104,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,44.3322868347168 +1984,8,1,suicide,21-24 yrs,44,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,18.75596809387207 +1984,8,1,homicide,21-24 yrs,16,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,6.820352077484131 +1984,8,1,other external,21-24 yrs,55,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,23.44495964050293 +1984,8,1,internal,21-24 yrs,64,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,27.281408309936523 +1985,8,1,MVA,15-17 yrs,37,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,25.389244079589844 +1985,8,1,suicide,15-17 yrs,24,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,16.468698501586914 +1985,8,1,homicide,15-17 yrs,5,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,3.430979013442993 +1985,8,1,other external,15-17 yrs,16,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,10.979132652282715 +1985,8,1,internal,15-17 yrs,22,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,15.096307754516602 +1985,8,1,all,18-20 yrs,147,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,98.5994873046875 +1985,8,1,MVA,18-20 yrs,64,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,42.92766571044922 +1985,8,1,suicide,18-20 yrs,31,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,20.793088912963867 +1985,8,1,homicide,18-20 yrs,11,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,7.378192901611328 +1985,8,1,other external,18-20 yrs,24,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,16.097875595092773 +1985,8,1,internal,18-20 yrs,17,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,11.402661323547363 +1985,8,1,all,21-24 yrs,299,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,130.60760498046875 +1985,8,1,MVA,21-24 yrs,98,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,42.80784606933594 +1985,8,1,suicide,21-24 yrs,54,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,23.587995529174805 +1985,8,1,homicide,21-24 yrs,34,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,14.851701736450195 +1985,8,1,other external,21-24 yrs,47,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,20.530292510986328 +1985,8,1,internal,21-24 yrs,66,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,28.82977294921875 +1986,8,1,MVA,15-17 yrs,54,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,36.1353874206543 +1986,8,1,suicide,15-17 yrs,27,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,18.06769371032715 +1986,8,1,homicide,15-17 yrs,4,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,2.6766953468322754 +1986,8,1,other external,15-17 yrs,16,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,10.706781387329102 +1986,8,1,internal,15-17 yrs,15,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,10.037607192993164 +1986,8,1,all,18-20 yrs,185,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,127.92498779296875 +1986,8,1,MVA,18-20 yrs,80,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,55.318912506103516 +1986,8,1,suicide,18-20 yrs,31,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,21.436079025268555 +1986,8,1,homicide,18-20 yrs,14,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,9.68080997467041 +1986,8,1,other external,18-20 yrs,32,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,22.127565383911133 +1986,8,1,internal,18-20 yrs,28,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,19.36161994934082 +1986,8,1,all,21-24 yrs,289,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,131.99179077148438 +1986,8,1,MVA,21-24 yrs,108,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,49.325653076171875 +1986,8,1,suicide,21-24 yrs,47,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,21.46579360961914 +1986,8,1,homicide,21-24 yrs,33,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,15.071727752685547 +1986,8,1,other external,21-24 yrs,43,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,19.638917922973633 +1986,8,1,internal,21-24 yrs,58,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,26.489704132080078 +1987,8,0.7903138399124146,MVA,15-17 yrs,46,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,31.30955696105957 +1987,8,0.7903138399124146,suicide,15-17 yrs,14,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.528995513916016 +1987,8,0.7903138399124146,homicide,15-17 yrs,4,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,2.7225701808929443 +1987,8,0.7903138399124146,other external,15-17 yrs,21,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,14.293493270874023 +1987,8,0.7903138399124146,internal,15-17 yrs,14,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.528995513916016 +1987,8,0.7903138399124146,all,18-20 yrs,126,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,86.73743438720703 +1987,8,0.7903138399124146,MVA,18-20 yrs,58,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,39.926753997802734 +1987,8,0.7903138399124146,suicide,18-20 yrs,20,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,13.76784610748291 +1987,8,0.7903138399124146,homicide,18-20 yrs,15,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,10.325884819030762 +1987,8,0.7903138399124146,other external,18-20 yrs,19,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,13.07945442199707 +1987,8,0.7903138399124146,internal,18-20 yrs,14,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.637492179870605 +1987,8,0.7903138399124146,all,21-24 yrs,236,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,113.62979888916016 +1987,8,0.7903138399124146,MVA,21-24 yrs,65,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,31.296342849731445 +1987,8,0.7903138399124146,suicide,21-24 yrs,54,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,26.000038146972656 +1987,8,0.7903138399124146,homicide,21-24 yrs,31,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,14.925948143005371 +1987,8,0.7903138399124146,other external,21-24 yrs,34,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,16.370393753051758 +1987,8,0.7903138399124146,internal,21-24 yrs,52,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,25.03707504272461 +1988,8,0.3277689516544342,MVA,15-17 yrs,38,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,27.26731300354004 +1988,8,0.3277689516544342,suicide,15-17 yrs,24,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,17.221460342407227 +1988,8,0.3277689516544342,homicide,15-17 yrs,8,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,5.740487098693848 +1988,8,0.3277689516544342,other external,15-17 yrs,11,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,7.893169403076172 +1988,8,0.3277689516544342,internal,15-17 yrs,16,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,11.480974197387695 +1988,8,0.3277689516544342,all,18-20 yrs,133,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,90.43558502197266 +1988,8,0.3277689516544342,MVA,18-20 yrs,45,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,30.598506927490234 +1988,8,0.3277689516544342,suicide,18-20 yrs,36,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,24.478805541992188 +1988,8,0.3277689516544342,homicide,18-20 yrs,8,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,5.43973445892334 +1988,8,0.3277689516544342,other external,18-20 yrs,21,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,14.279303550720215 +1988,8,0.3277689516544342,internal,18-20 yrs,23,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,15.639236450195312 +1988,8,0.3277689516544342,all,21-24 yrs,210,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,106.15228271484375 +1988,8,0.3277689516544342,MVA,21-24 yrs,75,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,37.911529541015625 +1988,8,0.3277689516544342,suicide,21-24 yrs,48,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,24.263378143310547 +1988,8,0.3277689516544342,homicide,21-24 yrs,23,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,11.626202583312988 +1988,8,0.3277689516544342,other external,21-24 yrs,25,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,12.637176513671875 +1988,8,0.3277689516544342,internal,21-24 yrs,39,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,19.7139949798584 +1989,8,0.041140116751194,MVA,15-17 yrs,34,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,25.960540771484375 +1989,8,0.041140116751194,suicide,15-17 yrs,19,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,14.507360458374023 +1989,8,0.041140116751194,homicide,15-17 yrs,5,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,3.8177263736724854 +1989,8,0.041140116751194,other external,15-17 yrs,10,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,7.635452747344971 +1989,8,0.041140116751194,internal,15-17 yrs,14,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,10.689634323120117 +1989,8,0.041140116751194,all,18-20 yrs,143,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,95.310455322265625 +1989,8,0.041140116751194,MVA,18-20 yrs,55,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,36.657867431640625 +1989,8,0.041140116751194,suicide,18-20 yrs,40,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,26.660268783569336 +1989,8,0.041140116751194,homicide,18-20 yrs,14,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,9.331093788146973 +1989,8,0.041140116751194,other external,18-20 yrs,10,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,6.665067195892334 +1989,8,0.041140116751194,internal,18-20 yrs,24,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,15.996160507202148 +1989,8,0.041140116751194,all,21-24 yrs,182,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,95.53705596923828 +1989,8,0.041140116751194,MVA,21-24 yrs,64,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,33.5954475402832 +1989,8,0.041140116751194,suicide,21-24 yrs,34,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,17.84758186340332 +1989,8,0.041140116751194,homicide,21-24 yrs,12,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,6.29914665222168 +1989,8,0.041140116751194,other external,21-24 yrs,31,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,16.272794723510742 +1989,8,0.041140116751194,internal,21-24 yrs,41,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,21.522083282470703 +1990,8,0,MVA,15-17 yrs,35,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,26.958538055419922 +1990,8,0,suicide,15-17 yrs,19,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,14.634634971618652 +1990,8,0,homicide,15-17 yrs,11,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,8.47268295288086 +1990,8,0,other external,15-17 yrs,10,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,7.702439308166504 +1990,8,0,internal,15-17 yrs,26,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,20.026342391967773 +1990,8,0,all,18-20 yrs,139,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,94.31977844238281 +1990,8,0,MVA,18-20 yrs,61,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,41.39213180541992 +1990,8,0,suicide,18-20 yrs,28,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,18.99966812133789 +1990,8,0,homicide,18-20 yrs,14,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,9.499834060668945 +1990,8,0,other external,18-20 yrs,18,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,12.214072227478027 +1990,8,0,internal,18-20 yrs,18,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,12.214072227478027 +1990,8,0,all,21-24 yrs,187,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,99.66901397705078 +1990,8,0,MVA,21-24 yrs,56,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,29.84740447998047 +1990,8,0,suicide,21-24 yrs,42,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,22.38555335998535 +1990,8,0,homicide,21-24 yrs,25,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,13.324734687805176 +1990,8,0,other external,21-24 yrs,27,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,14.39071273803711 +1990,8,0,internal,21-24 yrs,37,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,19.72060775756836 +1991,8,0,MVA,15-17 yrs,35,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,26.58261489868164 +1991,8,0,suicide,15-17 yrs,21,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,15.949568748474121 +1991,8,0,homicide,15-17 yrs,10,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,7.595032691955566 +1991,8,0,other external,15-17 yrs,16,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,12.152052879333496 +1991,8,0,internal,15-17 yrs,16,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,12.152052879333496 +1991,8,0,all,18-20 yrs,145,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,101.50152587890625 +1991,8,0,MVA,18-20 yrs,62,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,43.40065002441406 +1991,8,0,suicide,18-20 yrs,29,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,20.300304412841797 +1991,8,0,homicide,18-20 yrs,23,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,16.10024070739746 +1991,8,0,other external,18-20 yrs,17,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,11.900178909301758 +1991,8,0,internal,18-20 yrs,14,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,9.80014705657959 +1991,8,0,all,21-24 yrs,219,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,114.7431869506836 +1991,8,0,MVA,21-24 yrs,60,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,31.436491012573242 +1991,8,0,suicide,21-24 yrs,37,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,19.385835647583008 +1991,8,0,homicide,21-24 yrs,31,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,16.2421875 +1991,8,0,other external,21-24 yrs,29,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,15.194303512573242 +1991,8,0,internal,21-24 yrs,62,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,32.484375 +1992,8,0,MVA,15-17 yrs,35,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,25.315906524658203 +1992,8,0,suicide,15-17 yrs,31,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,22.42266082763672 +1992,8,0,homicide,15-17 yrs,15,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,10.849674224853516 +1992,8,0,other external,15-17 yrs,17,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,12.296297073364258 +1992,8,0,internal,15-17 yrs,16,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,11.572985649108887 +1992,8,0,all,18-20 yrs,137,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,98.26353454589844 +1992,8,0,MVA,18-20 yrs,55,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,39.4488639831543 +1992,8,0,suicide,18-20 yrs,21,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,15.06229305267334 +1992,8,0,homicide,18-20 yrs,23,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,16.496797561645508 +1992,8,0,other external,18-20 yrs,13,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,9.3242769241333 +1992,8,0,internal,18-20 yrs,25,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,17.93130111694336 +1992,8,0,all,21-24 yrs,187,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,94.91277313232422 +1992,8,0,MVA,21-24 yrs,52,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,26.392858505249023 +1992,8,0,suicide,21-24 yrs,41,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,20.80975341796875 +1992,8,0,homicide,21-24 yrs,23,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,11.6737642288208 +1992,8,0,other external,21-24 yrs,26,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,13.196429252624512 +1992,8,0,internal,21-24 yrs,45,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,22.83997344970703 +1993,8,0,MVA,15-17 yrs,36,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,25.063703536987305 +1993,8,0,suicide,15-17 yrs,15,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,10.443209648132324 +1993,8,0,homicide,15-17 yrs,16,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,11.139423370361328 +1993,8,0,other external,15-17 yrs,18,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,12.531851768493652 +1993,8,0,internal,15-17 yrs,23,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,16.012922286987305 +1993,8,0,all,18-20 yrs,146,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,102.97571563720703 +1993,8,0,MVA,18-20 yrs,49,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,34.56034469604492 +1993,8,0,suicide,18-20 yrs,33,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,23.275333404541016 +1993,8,0,homicide,18-20 yrs,18,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,12.695635795593262 +1993,8,0,other external,18-20 yrs,20,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,14.10626220703125 +1993,8,0,internal,18-20 yrs,26,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,18.3381404876709 +1993,8,0,all,21-24 yrs,207,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,103.08918762207031 +1993,8,0,MVA,21-24 yrs,58,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,28.8848934173584 +1993,8,0,suicide,21-24 yrs,46,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,22.908708572387695 +1993,8,0,homicide,21-24 yrs,32,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,15.936492919921875 +1993,8,0,other external,21-24 yrs,29,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,14.4424467086792 +1993,8,0,internal,21-24 yrs,42,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,20.91664695739746 +1994,8,0,MVA,15-17 yrs,43,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,28.579214096069336 +1994,8,0,suicide,15-17 yrs,23,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,15.286556243896484 +1994,8,0,homicide,15-17 yrs,15,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,9.96949291229248 +1994,8,0,other external,15-17 yrs,16,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,10.634126663208008 +1994,8,0,internal,15-17 yrs,30,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,19.93898582458496 +1994,8,0,all,18-20 yrs,143,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,97.733673095703125 +1994,8,0,MVA,18-20 yrs,60,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,41.00713348388672 +1994,8,0,suicide,18-20 yrs,24,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,16.402854919433594 +1994,8,0,homicide,18-20 yrs,18,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,12.302140235900879 +1994,8,0,other external,18-20 yrs,16,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,10.935235977172852 +1994,8,0,internal,18-20 yrs,25,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,17.086305618286133 +1994,8,0,all,21-24 yrs,216,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,107.67481994628906 +1994,8,0,MVA,21-24 yrs,61,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,30.408166885375977 +1994,8,0,suicide,21-24 yrs,41,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,20.438276290893555 +1994,8,0,homicide,21-24 yrs,31,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,15.453330993652344 +1994,8,0,other external,21-24 yrs,29,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,14.456341743469238 +1994,8,0,internal,21-24 yrs,54,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,26.918704986572266 +1995,8,0,MVA,15-17 yrs,50,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,31.618953704833984 +1995,8,0,suicide,15-17 yrs,14,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,8.853306770324707 +1995,8,0,homicide,15-17 yrs,17,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,10.750444412231445 +1995,8,0,other external,15-17 yrs,15,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,9.485686302185059 +1995,8,0,internal,15-17 yrs,16,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,10.118064880371094 +1995,8,0,all,18-20 yrs,163,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,106.11910247802734 +1995,8,0,MVA,18-20 yrs,66,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,42.96847152709961 +1995,8,0,suicide,18-20 yrs,34,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,22.135272979736328 +1995,8,0,homicide,18-20 yrs,19,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,12.369710922241211 +1995,8,0,other external,18-20 yrs,12,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,7.812448978424072 +1995,8,0,internal,18-20 yrs,32,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,20.83319854736328 +1995,8,0,all,21-24 yrs,219,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,110.71846008300781 +1995,8,0,MVA,21-24 yrs,68,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,34.378334045410156 +1995,8,0,suicide,21-24 yrs,49,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,24.77262306213379 +1995,8,0,homicide,21-24 yrs,31,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,15.672475814819336 +1995,8,0,other external,21-24 yrs,37,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,18.70585823059082 +1995,8,0,internal,21-24 yrs,34,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,17.189167022705078 +1996,8,0,MVA,15-17 yrs,48,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,28.924898147583008 +1996,8,0,suicide,15-17 yrs,15,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,9.039030075073242 +1996,8,0,homicide,15-17 yrs,10,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,6.026020526885986 +1996,8,0,other external,15-17 yrs,8,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,4.820816516876221 +1996,8,0,internal,15-17 yrs,16,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,9.641633033752441 +1996,8,0,all,18-20 yrs,145,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,91.26097869873047 +1996,8,0,MVA,18-20 yrs,49,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,30.839916229248047 +1996,8,0,suicide,18-20 yrs,25,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,15.734650611877441 +1996,8,0,homicide,18-20 yrs,19,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,11.958334922790527 +1996,8,0,other external,18-20 yrs,30,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,18.881580352783203 +1996,8,0,internal,18-20 yrs,22,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,13.846492767333984 +1996,8,0,all,21-24 yrs,215,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,110.05210876464844 +1996,8,0,MVA,21-24 yrs,67,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,34.29530715942383 +1996,8,0,suicide,21-24 yrs,56,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,28.664735794067383 +1996,8,0,homicide,21-24 yrs,30,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,15.356107711791992 +1996,8,0,other external,21-24 yrs,33,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,16.891719818115234 +1996,8,0,internal,21-24 yrs,29,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,14.84423828125 +1970,9,0,MVA,15-17 yrs,45,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,26.844837188720703 +1970,9,0,suicide,15-17 yrs,9,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,5.368967533111572 +1970,9,0,homicide,15-17 yrs,6,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,3.5793116092681885 +1970,9,0,other external,15-17 yrs,16,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,9.544831275939941 +1970,9,0,internal,15-17 yrs,41,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,24.458629608154297 +1970,9,0,all,18-20 yrs,135,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,94.44588470458984 +1970,9,0,MVA,18-20 yrs,46,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,32.18156051635742 +1970,9,0,suicide,18-20 yrs,10,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,6.995991230010986 +1970,9,0,homicide,18-20 yrs,10,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,6.995991230010986 +1970,9,0,other external,18-20 yrs,26,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,18.189577102661133 +1970,9,0,internal,18-20 yrs,43,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,30.082761764526367 +1970,9,0,all,21-24 yrs,185,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,100.7553939819336 +1970,9,0,MVA,21-24 yrs,63,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,34.31129455566406 +1970,9,0,suicide,21-24 yrs,18,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,9.803227424621582 +1970,9,0,homicide,21-24 yrs,14,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,7.624732494354248 +1970,9,0,other external,21-24 yrs,22,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,11.981722831726074 +1970,9,0,internal,21-24 yrs,68,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,37.03441619873047 +1971,9,0,MVA,15-17 yrs,43,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,24.9801025390625 +1971,9,0,suicide,15-17 yrs,3,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,1.7427978515625 +1971,9,0,homicide,15-17 yrs,5,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,2.9046630859375 +1971,9,0,other external,15-17 yrs,27,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,15.6851806640625 +1971,9,0,internal,15-17 yrs,42,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,24.399169921875 +1971,9,0,all,18-20 yrs,150,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,99.53813934326172 +1971,9,0,MVA,18-20 yrs,66,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,43.796783447265625 +1971,9,0,suicide,18-20 yrs,8,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,5.308701038360596 +1971,9,0,homicide,18-20 yrs,9,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,5.972288608551025 +1971,9,0,other external,18-20 yrs,20,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,13.27175235748291 +1971,9,0,internal,18-20 yrs,47,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,31.188617706298828 +1971,9,0,all,21-24 yrs,212,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,109.45494842529297 +1971,9,0,MVA,21-24 yrs,61,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,31.494112014770508 +1971,9,0,suicide,21-24 yrs,26,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,13.42371940612793 +1971,9,0,homicide,21-24 yrs,7,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,3.6140782833099365 +1971,9,0,other external,21-24 yrs,29,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,14.972610473632812 +1971,9,0,internal,21-24 yrs,89,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,45.95042419433594 +1972,9,0.25205478072166443,MVA,15-17 yrs,32,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,18.21224021911621 +1972,9,0.25205478072166443,suicide,15-17 yrs,2,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,1.1382650136947632 +1972,9,0.25205478072166443,homicide,15-17 yrs,4,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,2.2765300273895264 +1972,9,0.25205478072166443,other external,15-17 yrs,26,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,14.797445297241211 +1972,9,0.25205478072166443,internal,15-17 yrs,48,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,27.318361282348633 +1972,9,0.25205478072166443,all,18-20 yrs,112,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,71.59385681152344 +1972,9,0.25205478072166443,MVA,18-20 yrs,58,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,37.07538986206055 +1972,9,0.25205478072166443,suicide,18-20 yrs,4,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,2.5569236278533936 +1972,9,0.25205478072166443,homicide,18-20 yrs,2,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,1.2784618139266968 +1972,9,0.25205478072166443,other external,18-20 yrs,10,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,6.392308712005615 +1972,9,0.25205478072166443,internal,18-20 yrs,38,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,24.290773391723633 +1972,9,0.25205478072166443,all,21-24 yrs,198,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,104.66167449951172 +1972,9,0.25205478072166443,MVA,21-24 yrs,78,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,41.23035430908203 +1972,9,0.25205478072166443,suicide,21-24 yrs,20,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,10.57188606262207 +1972,9,0.25205478072166443,homicide,21-24 yrs,12,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,6.3431315422058105 +1972,9,0.25205478072166443,other external,21-24 yrs,18,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,9.514698028564453 +1972,9,0.25205478072166443,internal,21-24 yrs,70,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,37.00160217285156 +1973,9,1,MVA,15-17 yrs,57,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,31.73065757751465 +1973,9,1,suicide,15-17 yrs,7,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.896747350692749 +1973,9,1,homicide,15-17 yrs,7,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.896747350692749 +1973,9,1,other external,15-17 yrs,20,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,11.133563995361328 +1973,9,1,internal,15-17 yrs,30,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,16.700345993041992 +1973,9,1,all,18-20 yrs,177,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,110.74197387695312 +1973,9,1,MVA,18-20 yrs,102,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,63.817405700683594 +1973,9,1,suicide,18-20 yrs,8,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,5.005286693572998 +1973,9,1,homicide,18-20 yrs,6,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.753965139389038 +1973,9,1,other external,18-20 yrs,24,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,15.015860557556152 +1973,9,1,internal,18-20 yrs,37,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,23.149452209472656 +1973,9,1,all,21-24 yrs,167,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,92.27130889892578 +1973,9,1,MVA,21-24 yrs,64,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,35.3614616394043 +1973,9,1,suicide,21-24 yrs,15,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,8.287842750549316 +1973,9,1,homicide,21-24 yrs,12,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,6.630273818969727 +1973,9,1,other external,21-24 yrs,22,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,12.155502319335938 +1973,9,1,internal,21-24 yrs,54,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,29.836233139038086 +1974,9,1,MVA,15-17 yrs,33,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,18.15511131286621 +1974,9,1,suicide,15-17 yrs,8,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,4.401238918304443 +1974,9,1,homicide,15-17 yrs,3,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,1.650464653968811 +1974,9,1,other external,15-17 yrs,16,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,8.802477836608887 +1974,9,1,internal,15-17 yrs,28,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,15.404335975646973 +1974,9,1,all,18-20 yrs,139,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,85.556365966796875 +1974,9,1,MVA,18-20 yrs,60,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,36.93080520629883 +1974,9,1,suicide,18-20 yrs,15,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,9.232701301574707 +1974,9,1,homicide,18-20 yrs,4,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,2.4620535373687744 +1974,9,1,other external,18-20 yrs,22,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,13.541295051574707 +1974,9,1,internal,18-20 yrs,38,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,23.389509201049805 +1974,9,1,all,21-24 yrs,177,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,91.04891204833984 +1974,9,1,MVA,21-24 yrs,57,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,29.320837020874023 +1974,9,1,suicide,21-24 yrs,25,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,12.860015869140625 +1974,9,1,homicide,21-24 yrs,17,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,8.744811058044434 +1974,9,1,other external,21-24 yrs,31,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,15.946419715881348 +1974,9,1,internal,21-24 yrs,47,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,24.176830291748047 +1975,9,1,MVA,15-17 yrs,34,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,18.755929946899414 +1975,9,1,suicide,15-17 yrs,6,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,3.3098700046539307 +1975,9,1,homicide,15-17 yrs,6,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,3.3098700046539307 +1975,9,1,other external,15-17 yrs,22,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,12.136190414428711 +1975,9,1,internal,15-17 yrs,29,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,15.997705459594727 +1975,9,1,all,18-20 yrs,172,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,103.488525390625 +1975,9,1,MVA,18-20 yrs,65,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,39.10903549194336 +1975,9,1,suicide,18-20 yrs,20,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,12.033549308776855 +1975,9,1,homicide,18-20 yrs,7,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,4.211742401123047 +1975,9,1,other external,18-20 yrs,22,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,13.23690414428711 +1975,9,1,internal,18-20 yrs,58,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,34.89729309082031 +1975,9,1,all,21-24 yrs,184,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,91.89615631103516 +1975,9,1,MVA,21-24 yrs,51,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,25.47121810913086 +1975,9,1,suicide,21-24 yrs,30,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,14.98306941986084 +1975,9,1,homicide,21-24 yrs,20,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,9.988712310791016 +1975,9,1,other external,21-24 yrs,20,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,9.988712310791016 +1975,9,1,internal,21-24 yrs,63,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,31.464445114135742 +1976,9,1,MVA,15-17 yrs,41,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,22.677993774414062 +1976,9,1,suicide,15-17 yrs,6,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,3.3187308311462402 +1976,9,1,homicide,15-17 yrs,4,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,2.21248722076416 +1976,9,1,other external,15-17 yrs,12,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,6.6374616622924805 +1976,9,1,internal,15-17 yrs,27,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,14.93428897857666 +1976,9,1,all,18-20 yrs,143,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,84.747772216796875 +1976,9,1,MVA,18-20 yrs,70,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,41.48492431640625 +1976,9,1,suicide,18-20 yrs,14,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.296984672546387 +1976,9,1,homicide,18-20 yrs,9,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,5.333775997161865 +1976,9,1,other external,18-20 yrs,15,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.889626502990723 +1976,9,1,internal,18-20 yrs,35,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,20.742462158203125 +1976,9,1,all,21-24 yrs,177,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,86.32251739501953 +1976,9,1,MVA,21-24 yrs,53,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,25.847984313964844 +1976,9,1,suicide,21-24 yrs,30,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,14.630934715270996 +1976,9,1,homicide,21-24 yrs,18,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.778560638427734 +1976,9,1,other external,21-24 yrs,27,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,13.167840957641602 +1976,9,1,internal,21-24 yrs,49,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,23.897193908691406 +1977,9,1,MVA,15-17 yrs,40,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,22.330150604248047 +1977,9,1,suicide,15-17 yrs,4,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,2.2330150604248047 +1977,9,1,homicide,15-17 yrs,6,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,3.349522590637207 +1977,9,1,other external,15-17 yrs,22,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,12.281582832336426 +1977,9,1,internal,15-17 yrs,21,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,11.723329544067383 +1977,9,1,all,18-20 yrs,154,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,90.4839096069336 +1977,9,1,MVA,18-20 yrs,70,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,41.129051208496094 +1977,9,1,suicide,18-20 yrs,14,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.225810050964355 +1977,9,1,homicide,18-20 yrs,18,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,10.576042175292969 +1977,9,1,other external,18-20 yrs,14,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.225810050964355 +1977,9,1,internal,18-20 yrs,38,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,22.327199935913086 +1977,9,1,all,21-24 yrs,207,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,99.39116668701172 +1977,9,1,MVA,21-24 yrs,71,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,34.09069061279297 +1977,9,1,suicide,21-24 yrs,30,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,14.40451717376709 +1977,9,1,homicide,21-24 yrs,17,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.162559509277344 +1977,9,1,other external,21-24 yrs,24,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,11.523613929748535 +1977,9,1,internal,21-24 yrs,65,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,31.209787368774414 +1978,9,1,MVA,15-17 yrs,50,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,28.035078048706055 +1978,9,1,suicide,15-17 yrs,2,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,1.1214030981063843 +1978,9,1,homicide,15-17 yrs,7,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,3.9249107837677 +1978,9,1,other external,15-17 yrs,22,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,12.335433959960938 +1978,9,1,internal,15-17 yrs,31,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,17.38174819946289 +1978,9,1,all,18-20 yrs,177,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,104.78518676757812 +1978,9,1,MVA,18-20 yrs,92,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,54.46461868286133 +1978,9,1,suicide,18-20 yrs,21,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,12.432141304016113 +1978,9,1,homicide,18-20 yrs,8,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,4.736053943634033 +1978,9,1,other external,18-20 yrs,24,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,14.208161354064941 +1978,9,1,internal,18-20 yrs,32,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,18.944215774536133 +1978,9,1,all,21-24 yrs,233,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,109.81397247314453 +1978,9,1,MVA,21-24 yrs,83,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,39.118282318115234 +1978,9,1,suicide,21-24 yrs,37,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,17.438270568847656 +1978,9,1,homicide,21-24 yrs,22,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,10.368701934814453 +1978,9,1,other external,21-24 yrs,28,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,13.196529388427734 +1978,9,1,internal,21-24 yrs,63,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,29.692190170288086 +1979,9,1,MVA,15-17 yrs,61,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,34.593833923339844 +1979,9,1,suicide,15-17 yrs,7,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,3.9697842597961426 +1979,9,1,homicide,15-17 yrs,7,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,3.9697842597961426 +1979,9,1,other external,15-17 yrs,13,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,7.3724565505981445 +1979,9,1,internal,15-17 yrs,26,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,14.744913101196289 +1979,9,1,all,18-20 yrs,207,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,123.18055725097656 +1979,9,1,MVA,18-20 yrs,112,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,66.6484146118164 +1979,9,1,suicide,18-20 yrs,22,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,13.091653823852539 +1979,9,1,homicide,18-20 yrs,13,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,7.7359771728515625 +1979,9,1,other external,18-20 yrs,30,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,17.85225486755371 +1979,9,1,internal,18-20 yrs,30,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,17.85225486755371 +1979,9,1,all,21-24 yrs,221,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,102.49703216552734 +1979,9,1,MVA,21-24 yrs,87,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,40.349510192871094 +1979,9,1,suicide,21-24 yrs,22,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,10.203324317932129 +1979,9,1,homicide,21-24 yrs,13,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,6.029237270355225 +1979,9,1,other external,21-24 yrs,28,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,12.98604965209961 +1979,9,1,internal,21-24 yrs,71,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,32.92890930175781 +1980,9,1,MVA,15-17 yrs,47,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,26.839351654052734 +1980,9,1,suicide,15-17 yrs,4,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,2.2842001914978027 +1980,9,1,homicide,15-17 yrs,5,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,2.855250120162964 +1980,9,1,other external,15-17 yrs,31,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,17.702550888061523 +1980,9,1,internal,15-17 yrs,32,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,18.273601531982422 +1980,9,1,all,18-20 yrs,189,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,111.81844329833984 +1980,9,1,MVA,18-20 yrs,97,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,57.38829803466797 +1980,9,1,suicide,18-20 yrs,16,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,9.466111183166504 +1980,9,1,homicide,18-20 yrs,9,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,5.324687480926514 +1980,9,1,other external,18-20 yrs,24,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,14.199167251586914 +1980,9,1,internal,18-20 yrs,43,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,25.440174102783203 +1980,9,1,all,21-24 yrs,259,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,118.8744125366211 +1980,9,1,MVA,21-24 yrs,101,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,46.35643005371094 +1980,9,1,suicide,21-24 yrs,27,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,12.392313003540039 +1980,9,1,homicide,21-24 yrs,23,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,10.556414604187012 +1980,9,1,other external,21-24 yrs,40,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,18.35898208618164 +1980,9,1,internal,21-24 yrs,68,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,31.210269927978516 +1981,9,1,MVA,15-17 yrs,39,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,22.84763526916504 +1981,9,1,suicide,15-17 yrs,9,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,5.272531509399414 +1981,9,1,homicide,15-17 yrs,14,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,8.201715469360352 +1981,9,1,other external,15-17 yrs,11,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,6.444204807281494 +1981,9,1,internal,15-17 yrs,25,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,14.645919799804688 +1981,9,1,all,18-20 yrs,170,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,98.34661865234375 +1981,9,1,MVA,18-20 yrs,87,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,50.33032989501953 +1981,9,1,suicide,18-20 yrs,19,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,10.991681098937988 +1981,9,1,homicide,18-20 yrs,9,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,5.206585884094238 +1981,9,1,other external,18-20 yrs,20,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,11.5701904296875 +1981,9,1,internal,18-20 yrs,35,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,20.247833251953125 +1981,9,1,all,21-24 yrs,215,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,98.170379638671875 +1981,9,1,MVA,21-24 yrs,85,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,38.811546325683594 +1981,9,1,suicide,21-24 yrs,24,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,10.9585542678833 +1981,9,1,homicide,21-24 yrs,16,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,7.3057026863098145 +1981,9,1,other external,21-24 yrs,27,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,12.328372955322266 +1981,9,1,internal,21-24 yrs,63,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,28.766202926635742 +1982,9,0.8333890438079834,MVA,15-17 yrs,32,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,19.62491798400879 +1982,9,0.8333890438079834,suicide,15-17 yrs,4,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,2.4531147480010986 +1982,9,0.8333890438079834,homicide,15-17 yrs,7,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,4.2929511070251465 +1982,9,0.8333890438079834,other external,15-17 yrs,26,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,15.945246696472168 +1982,9,0.8333890438079834,internal,15-17 yrs,28,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,17.171804428100586 +1982,9,0.8333890438079834,all,18-20 yrs,171,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,97.89105224609375 +1982,9,0.8333890438079834,MVA,18-20 yrs,67,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,38.35497283935547 +1982,9,0.8333890438079834,suicide,18-20 yrs,14,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,8.014472007751465 +1982,9,0.8333890438079834,homicide,18-20 yrs,14,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,8.014472007751465 +1982,9,0.8333890438079834,other external,18-20 yrs,28,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,16.02894401550293 +1982,9,0.8333890438079834,internal,18-20 yrs,48,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,27.47818946838379 +1982,9,0.8333890438079834,all,21-24 yrs,239,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,109.14787292480469 +1982,9,0.8333890438079834,MVA,21-24 yrs,83,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,37.9049072265625 +1982,9,0.8333890438079834,suicide,21-24 yrs,22,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,10.047083854675293 +1982,9,0.8333890438079834,homicide,21-24 yrs,24,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,10.960455894470215 +1982,9,0.8333890438079834,other external,21-24 yrs,43,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,19.637483596801758 +1982,9,0.8333890438079834,internal,21-24 yrs,67,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,30.597938537597656 +1983,9,0.6795986294746399,MVA,15-17 yrs,27,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,17.283096313476562 +1983,9,0.6795986294746399,suicide,15-17 yrs,9,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,5.761032581329346 +1983,9,0.6795986294746399,homicide,15-17 yrs,6,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,3.8406882286071777 +1983,9,0.6795986294746399,other external,15-17 yrs,12,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,7.6813764572143555 +1983,9,0.6795986294746399,internal,15-17 yrs,31,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,19.843555450439453 +1983,9,0.6795986294746399,all,18-20 yrs,135,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,77.00995635986328 +1983,9,0.6795986294746399,MVA,18-20 yrs,51,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,29.0926513671875 +1983,9,0.6795986294746399,suicide,18-20 yrs,23,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,13.12021541595459 +1983,9,0.6795986294746399,homicide,18-20 yrs,17,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,9.697550773620605 +1983,9,0.6795986294746399,other external,18-20 yrs,20,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,11.408883094787598 +1983,9,0.6795986294746399,internal,18-20 yrs,24,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,13.690659523010254 +1983,9,0.6795986294746399,all,21-24 yrs,211,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,95.79457092285156 +1983,9,0.6795986294746399,MVA,21-24 yrs,79,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,35.866214752197266 +1983,9,0.6795986294746399,suicide,21-24 yrs,18,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,8.172048568725586 +1983,9,0.6795986294746399,homicide,21-24 yrs,23,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,10.442062377929688 +1983,9,0.6795986294746399,other external,21-24 yrs,40,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,18.16010856628418 +1983,9,0.6795986294746399,internal,21-24 yrs,51,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,23.154138565063477 +1984,9,0.6682621240615845,MVA,15-17 yrs,28,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,18.441314697265625 +1984,9,0.6682621240615845,suicide,15-17 yrs,6,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,3.9517099857330322 +1984,9,0.6682621240615845,homicide,15-17 yrs,6,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,3.9517099857330322 +1984,9,0.6682621240615845,other external,15-17 yrs,3,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,1.9758549928665161 +1984,9,0.6682621240615845,internal,15-17 yrs,28,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,18.441314697265625 +1984,9,0.6682621240615845,all,18-20 yrs,133,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,77.54966735839844 +1984,9,0.6682621240615845,MVA,18-20 yrs,62,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,36.150970458984375 +1984,9,0.6682621240615845,suicide,18-20 yrs,12,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,6.996962070465088 +1984,9,0.6682621240615845,homicide,18-20 yrs,12,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,6.996962070465088 +1984,9,0.6682621240615845,other external,18-20 yrs,14,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,8.163122177124023 +1984,9,0.6682621240615845,internal,18-20 yrs,33,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,19.24164581298828 +1984,9,0.6682621240615845,all,21-24 yrs,220,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,98.91374969482422 +1984,9,0.6682621240615845,MVA,21-24 yrs,73,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,32.821380615234375 +1984,9,0.6682621240615845,suicide,21-24 yrs,23,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,10.340982437133789 +1984,9,0.6682621240615845,homicide,21-24 yrs,31,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,13.937846183776855 +1984,9,0.6682621240615845,other external,21-24 yrs,24,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,10.790590286254883 +1984,9,0.6682621240615845,internal,21-24 yrs,69,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,31.022947311401367 +1985,9,0.4061198830604553,MVA,15-17 yrs,35,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,23.22618293762207 +1985,9,0.4061198830604553,suicide,15-17 yrs,3,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,1.9908157587051392 +1985,9,0.4061198830604553,homicide,15-17 yrs,7,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,4.645236492156982 +1985,9,0.4061198830604553,other external,15-17 yrs,4,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,2.654420852661133 +1985,9,0.4061198830604553,internal,15-17 yrs,27,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,17.917341232299805 +1985,9,0.4061198830604553,all,18-20 yrs,140,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,85.068115234375 +1985,9,0.4061198830604553,MVA,18-20 yrs,57,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,34.6348762512207 +1985,9,0.4061198830604553,suicide,18-20 yrs,14,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,8.506811141967773 +1985,9,0.4061198830604553,homicide,18-20 yrs,17,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,10.329699516296387 +1985,9,0.4061198830604553,other external,18-20 yrs,18,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,10.937329292297363 +1985,9,0.4061198830604553,internal,18-20 yrs,34,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,20.659399032592773 +1985,9,0.4061198830604553,all,21-24 yrs,187,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,82.7122573852539 +1985,9,0.4061198830604553,MVA,21-24 yrs,61,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,26.981002807617188 +1985,9,0.4061198830604553,suicide,21-24 yrs,27,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,11.942411422729492 +1985,9,0.4061198830604553,homicide,21-24 yrs,21,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,9.288541793823242 +1985,9,0.4061198830604553,other external,21-24 yrs,17,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,7.519295692443848 +1985,9,0.4061198830604553,internal,21-24 yrs,61,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,26.981002807617188 +1986,9,0.07784590870141983,MVA,15-17 yrs,38,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,25.241788864135742 +1986,9,0.07784590870141983,suicide,15-17 yrs,8,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,5.314061164855957 +1986,9,0.07784590870141983,homicide,15-17 yrs,9,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,5.978318691253662 +1986,9,0.07784590870141983,other external,15-17 yrs,12,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,7.971091270446777 +1986,9,0.07784590870141983,internal,15-17 yrs,24,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,15.942182540893555 +1986,9,0.07784590870141983,all,18-20 yrs,115,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,72.96954345703125 +1986,9,0.07784590870141983,MVA,18-20 yrs,53,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,33.62944030761719 +1986,9,0.07784590870141983,suicide,18-20 yrs,14,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,8.883248329162598 +1986,9,0.07784590870141983,homicide,18-20 yrs,6,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,3.8071064949035645 +1986,9,0.07784590870141983,other external,18-20 yrs,12,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,7.614212989807129 +1986,9,0.07784590870141983,internal,18-20 yrs,30,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,19.035533905029297 +1986,9,0.07784590870141983,all,21-24 yrs,210,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,92.49797058105469 +1986,9,0.07784590870141983,MVA,21-24 yrs,59,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,25.987525939941406 +1986,9,0.07784590870141983,suicide,21-24 yrs,35,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,15.416329383850098 +1986,9,0.07784590870141983,homicide,21-24 yrs,23,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,10.130730628967285 +1986,9,0.07784590870141983,other external,21-24 yrs,19,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,8.368864059448242 +1986,9,0.07784590870141983,internal,21-24 yrs,74,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,32.59452438354492 +1987,9,0,MVA,15-17 yrs,34,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,23.537555694580078 +1987,9,0,suicide,15-17 yrs,4,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,2.7691242694854736 +1987,9,0,homicide,15-17 yrs,11,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.615091800689697 +1987,9,0,other external,15-17 yrs,5,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,3.4614052772521973 +1987,9,0,internal,15-17 yrs,11,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.615091800689697 +1987,9,0,all,18-20 yrs,116,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,75.571014404296875 +1987,9,0,MVA,18-20 yrs,42,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,27.361919403076172 +1987,9,0,suicide,18-20 yrs,12,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.817691326141357 +1987,9,0,homicide,18-20 yrs,14,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,9.12063980102539 +1987,9,0,other external,18-20 yrs,11,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.16621732711792 +1987,9,0,internal,18-20 yrs,37,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,24.104549407958984 +1987,9,0,all,21-24 yrs,193,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,85.970733642578125 +1987,9,0,MVA,21-24 yrs,68,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,30.290206909179688 +1987,9,0,suicide,21-24 yrs,25,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,11.13610553741455 +1987,9,0,homicide,21-24 yrs,20,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,8.908884048461914 +1987,9,0,other external,21-24 yrs,25,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,11.13610553741455 +1987,9,0,internal,21-24 yrs,55,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,24.499431610107422 +1988,9,0,MVA,15-17 yrs,34,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,25.30119514465332 +1988,9,0,suicide,15-17 yrs,6,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,4.464916706085205 +1988,9,0,homicide,15-17 yrs,9,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,6.697375297546387 +1988,9,0,other external,15-17 yrs,14,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,10.418139457702637 +1988,9,0,internal,15-17 yrs,23,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.115514755249023 +1988,9,0,all,18-20 yrs,129,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,84.47826385498047 +1988,9,0,MVA,18-20 yrs,55,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,36.01786422729492 +1988,9,0,suicide,18-20 yrs,17,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,11.132794380187988 +1988,9,0,homicide,18-20 yrs,21,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,13.752275466918945 +1988,9,0,other external,18-20 yrs,10,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,6.548702716827393 +1988,9,0,internal,18-20 yrs,26,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.026626586914062 +1988,9,0,all,21-24 yrs,213,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,97.51184844970703 +1988,9,0,MVA,21-24 yrs,71,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,32.50394821166992 +1988,9,0,suicide,21-24 yrs,38,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.3964786529541 +1988,9,0,homicide,21-24 yrs,33,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,15.107468605041504 +1988,9,0,other external,21-24 yrs,12,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,5.493625164031982 +1988,9,0,internal,21-24 yrs,59,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,27.01032257080078 +1989,9,0,MVA,15-17 yrs,32,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,26.013721466064453 +1989,9,0,suicide,15-17 yrs,5,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,4.0646443367004395 +1989,9,0,homicide,15-17 yrs,13,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,10.568074226379395 +1989,9,0,other external,15-17 yrs,9,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,7.316359519958496 +1989,9,0,internal,15-17 yrs,26,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,21.13614845275879 +1989,9,0,all,18-20 yrs,127,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,83.7327651977539 +1989,9,0,MVA,18-20 yrs,49,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,32.30634307861328 +1989,9,0,suicide,18-20 yrs,18,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,11.867636680603027 +1989,9,0,homicide,18-20 yrs,15,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,9.889697074890137 +1989,9,0,other external,18-20 yrs,13,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,8.571070671081543 +1989,9,0,internal,18-20 yrs,32,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,21.098020553588867 +1989,9,0,all,21-24 yrs,191,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,91.51190948486328 +1989,9,0,MVA,21-24 yrs,60,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,28.747196197509766 +1989,9,0,suicide,21-24 yrs,25,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,11.977998733520508 +1989,9,0,homicide,21-24 yrs,30,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,14.373598098754883 +1989,9,0,other external,21-24 yrs,17,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,8.145039558410645 +1989,9,0,internal,21-24 yrs,59,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,28.268077850341797 +1990,9,0,MVA,15-17 yrs,28,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,23.864517211914062 +1990,9,0,suicide,15-17 yrs,8,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,6.81843376159668 +1990,9,0,homicide,15-17 yrs,19,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,16.19377899169922 +1990,9,0,other external,15-17 yrs,9,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,7.6707377433776855 +1990,9,0,internal,15-17 yrs,15,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.784563064575195 +1990,9,0,all,18-20 yrs,94,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,64.710662841796875 +1990,9,0,MVA,18-20 yrs,36,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,24.782806396484375 +1990,9,0,suicide,18-20 yrs,14,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,9.637758255004883 +1990,9,0,homicide,18-20 yrs,18,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.391403198242188 +1990,9,0,other external,18-20 yrs,8,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,5.507290363311768 +1990,9,0,internal,18-20 yrs,18,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.391403198242188 +1990,9,0,all,21-24 yrs,176,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,88.04181671142578 +1990,9,0,MVA,21-24 yrs,58,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,29.01378059387207 +1990,9,0,suicide,21-24 yrs,22,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,11.005227088928223 +1990,9,0,homicide,21-24 yrs,28,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,14.00665283203125 +1990,9,0,other external,21-24 yrs,18,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,9.004277229309082 +1990,9,0,internal,21-24 yrs,50,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,25.01188087463379 +1991,9,0,MVA,15-17 yrs,18,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,15.637351989746094 +1991,9,0,suicide,15-17 yrs,8,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.949934482574463 +1991,9,0,homicide,15-17 yrs,17,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,14.768610954284668 +1991,9,0,other external,15-17 yrs,7,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.081192493438721 +1991,9,0,internal,15-17 yrs,12,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,10.424901962280273 +1991,9,0,all,18-20 yrs,109,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,81.37061309814453 +1991,9,0,MVA,18-20 yrs,38,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,28.367734909057617 +1991,9,0,suicide,18-20 yrs,18,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,13.437348365783691 +1991,9,0,homicide,18-20 yrs,23,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.169944763183594 +1991,9,0,other external,18-20 yrs,6,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,4.479115962982178 +1991,9,0,internal,18-20 yrs,24,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.91646385192871 +1991,9,0,all,21-24 yrs,183,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,94.7048110961914 +1991,9,0,MVA,21-24 yrs,52,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,26.910655975341797 +1991,9,0,suicide,21-24 yrs,32,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,16.56040382385254 +1991,9,0,homicide,21-24 yrs,33,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.077917098999023 +1991,9,0,other external,21-24 yrs,13,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.727663993835449 +1991,9,0,internal,21-24 yrs,53,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,27.42816925048828 +1992,9,0,MVA,15-17 yrs,16,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,13.88780403137207 +1992,9,0,suicide,15-17 yrs,6,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,5.207926273345947 +1992,9,0,homicide,15-17 yrs,17,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,14.755791664123535 +1992,9,0,other external,15-17 yrs,7,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,6.07591438293457 +1992,9,0,internal,15-17 yrs,19,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,16.49176788330078 +1992,9,0,all,18-20 yrs,80,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,65.38618469238281 +1992,9,0,MVA,18-20 yrs,31,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,25.337146759033203 +1992,9,0,suicide,18-20 yrs,5,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,4.086636543273926 +1992,9,0,homicide,18-20 yrs,21,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,17.16387367248535 +1992,9,0,other external,18-20 yrs,9,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,7.355946063995361 +1992,9,0,internal,18-20 yrs,14,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,11.442583084106445 +1992,9,0,all,21-24 yrs,159,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,85.16153717041016 +1992,9,0,MVA,21-24 yrs,41,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,21.95989418029785 +1992,9,0,suicide,21-24 yrs,29,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,15.532608032226562 +1992,9,0,homicide,21-24 yrs,30,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,16.068214416503906 +1992,9,0,other external,21-24 yrs,17,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,9.105321884155273 +1992,9,0,internal,21-24 yrs,42,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,22.495500564575195 +1993,9,0,MVA,15-17 yrs,25,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.626670837402344 +1993,9,0,suicide,15-17 yrs,6,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,5.190401077270508 +1993,9,0,homicide,15-17 yrs,12,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,10.380802154541016 +1993,9,0,other external,15-17 yrs,7,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,6.0554680824279785 +1993,9,0,internal,15-17 yrs,19,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,16.436269760131836 +1993,9,0,all,18-20 yrs,101,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,86.474822998046875 +1993,9,0,MVA,18-20 yrs,29,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,24.829404830932617 +1993,9,0,suicide,18-20 yrs,11,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,9.418049812316895 +1993,9,0,homicide,18-20 yrs,28,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,23.97321891784668 +1993,9,0,other external,18-20 yrs,7,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,5.99330472946167 +1993,9,0,internal,18-20 yrs,26,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,22.260845184326172 +1993,9,0,all,21-24 yrs,168,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,93.96656036376953 +1993,9,0,MVA,21-24 yrs,38,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.25434112548828 +1993,9,0,suicide,21-24 yrs,24,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,13.423794746398926 +1993,9,0,homicide,21-24 yrs,39,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.81366729736328 +1993,9,0,other external,21-24 yrs,14,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,7.830546855926514 +1993,9,0,internal,21-24 yrs,53,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,29.64421272277832 +1994,9,0,MVA,15-17 yrs,20,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,16.947429656982422 +1994,9,0,suicide,15-17 yrs,12,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,10.16845703125 +1994,9,0,homicide,15-17 yrs,18,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,15.252686500549316 +1994,9,0,other external,15-17 yrs,4,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,3.3894858360290527 +1994,9,0,internal,15-17 yrs,23,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,19.489543914794922 +1994,9,0,all,18-20 yrs,91,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,80.15290832519531 +1994,9,0,MVA,18-20 yrs,22,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,19.377626419067383 +1994,9,0,suicide,18-20 yrs,9,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,7.927210807800293 +1994,9,0,homicide,18-20 yrs,34,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,29.947240829467773 +1994,9,0,other external,18-20 yrs,16,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,14.092819213867188 +1994,9,0,internal,18-20 yrs,10,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,8.808012008666992 +1994,9,0,all,21-24 yrs,157,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,93.077850341796875 +1994,9,0,MVA,21-24 yrs,36,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,21.342693328857422 +1994,9,0,suicide,21-24 yrs,24,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,14.228461265563965 +1994,9,0,homicide,21-24 yrs,34,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,20.1569881439209 +1994,9,0,other external,21-24 yrs,11,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,6.521378040313721 +1994,9,0,internal,21-24 yrs,52,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,30.828332901000977 +1995,9,0,MVA,15-17 yrs,16,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,13.303400993347168 +1995,9,0,suicide,15-17 yrs,4,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,3.325850248336792 +1995,9,0,homicide,15-17 yrs,15,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,12.471938133239746 +1995,9,0,other external,15-17 yrs,10,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,8.31462574005127 +1995,9,0,internal,15-17 yrs,15,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,12.471938133239746 +1995,9,0,all,18-20 yrs,91,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,80.42705535888672 +1995,9,0,MVA,18-20 yrs,27,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,23.862974166870117 +1995,9,0,suicide,18-20 yrs,16,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,14.141021728515625 +1995,9,0,homicide,18-20 yrs,17,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,15.024835586547852 +1995,9,0,other external,18-20 yrs,7,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,6.186697006225586 +1995,9,0,internal,18-20 yrs,24,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,21.211532592773438 +1995,9,0,all,21-24 yrs,137,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,87.0792236328125 +1995,9,0,MVA,21-24 yrs,36,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,22.882131576538086 +1995,9,0,suicide,21-24 yrs,18,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,11.441065788269043 +1995,9,0,homicide,21-24 yrs,27,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,17.161598205566406 +1995,9,0,other external,21-24 yrs,21,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,13.347909927368164 +1995,9,0,internal,21-24 yrs,35,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,22.246517181396484 +1996,9,0,MVA,15-17 yrs,16,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,13.126266479492188 +1996,9,0,suicide,15-17 yrs,2,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,1.6407833099365234 +1996,9,0,homicide,15-17 yrs,13,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,10.665091514587402 +1996,9,0,other external,15-17 yrs,5,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,4.101958274841309 +1996,9,0,internal,15-17 yrs,21,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,17.228225708007812 +1996,9,0,all,18-20 yrs,79,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,69.890472412109375 +1996,9,0,MVA,18-20 yrs,23,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,20.34786033630371 +1996,9,0,suicide,18-20 yrs,14,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,12.385653495788574 +1996,9,0,homicide,18-20 yrs,17,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.039722442626953 +1996,9,0,other external,18-20 yrs,8,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,7.077516555786133 +1996,9,0,internal,18-20 yrs,17,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.039722442626953 +1996,9,0,all,21-24 yrs,130,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,87.51497650146484 +1996,9,0,MVA,21-24 yrs,33,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,22.215341567993164 +1996,9,0,suicide,21-24 yrs,23,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.483419418334961 +1996,9,0,homicide,21-24 yrs,26,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,17.50299644470215 +1996,9,0,other external,21-24 yrs,14,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,9.424690246582031 +1996,9,0,internal,21-24 yrs,34,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,22.888532638549805 +1970,10,0,MVA,15-17 yrs,7,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,22.061140060424805 +1970,10,0,suicide,15-17 yrs,1,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,3.1515915393829346 +1970,10,0,homicide,15-17 yrs,3,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,9.454774856567383 +1970,10,0,other external,15-17 yrs,5,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,15.757957458496094 +1970,10,0,internal,15-17 yrs,4,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,12.606366157531738 +1970,10,0,all,18-20 yrs,36,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,126.41336822509766 +1970,10,0,MVA,18-20 yrs,14,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,49.1607551574707 +1970,10,0,suicide,18-20 yrs,3,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,10.53444766998291 +1970,10,0,homicide,18-20 yrs,3,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,10.53444766998291 +1970,10,0,other external,18-20 yrs,5,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,17.55741310119629 +1970,10,0,internal,18-20 yrs,11,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,38.62630844116211 +1970,10,0,all,21-24 yrs,40,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,114.48197174072266 +1970,10,0,MVA,21-24 yrs,14,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,40.068687438964844 +1970,10,0,suicide,21-24 yrs,7,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,20.034343719482422 +1970,10,0,homicide,21-24 yrs,5,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,14.310246467590332 +1970,10,0,other external,21-24 yrs,4,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,11.448197364807129 +1970,10,0,internal,21-24 yrs,10,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,28.620492935180664 +1971,10,0,MVA,15-17 yrs,10,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,29.629629135131836 +1971,10,0,suicide,15-17 yrs,2,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,5.9259257316589355 +1971,10,0,homicide,15-17 yrs,2,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,5.9259257316589355 +1971,10,0,other external,15-17 yrs,5,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,14.814814567565918 +1971,10,0,internal,15-17 yrs,1,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,2.9629628658294678 +1971,10,0,all,18-20 yrs,28,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,88.30579376220703 +1971,10,0,MVA,18-20 yrs,8,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,25.230226516723633 +1971,10,0,suicide,18-20 yrs,1,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,3.153778314590454 +1971,10,0,homicide,18-20 yrs,2,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,6.307556629180908 +1971,10,0,other external,18-20 yrs,8,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,25.230226516723633 +1971,10,0,internal,18-20 yrs,9,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,28.384004592895508 +1971,10,0,all,21-24 yrs,40,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,107.39696502685547 +1971,10,0,MVA,21-24 yrs,13,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,34.904014587402344 +1971,10,0,suicide,21-24 yrs,4,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,10.739696502685547 +1971,10,0,homicide,21-24 yrs,3,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,8.05477237701416 +1971,10,0,other external,21-24 yrs,7,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,18.794469833374023 +1971,10,0,internal,21-24 yrs,13,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,34.904014587402344 +1972,10,0.16134388744831085,MVA,15-17 yrs,14,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,39.87354278564453 +1972,10,0.16134388744831085,suicide,15-17 yrs,0,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,0 +1972,10,0.16134388744831085,homicide,15-17 yrs,6,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,17.088661193847656 +1972,10,0.16134388744831085,other external,15-17 yrs,8,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,22.784881591796875 +1972,10,0.16134388744831085,internal,15-17 yrs,4,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,11.392440795898438 +1972,10,0.16134388744831085,all,18-20 yrs,40,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,116.71334838867188 +1972,10,0.16134388744831085,MVA,18-20 yrs,16,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,46.685340881347656 +1972,10,0.16134388744831085,suicide,18-20 yrs,0,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,0 +1972,10,0.16134388744831085,homicide,18-20 yrs,6,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,17.507001876831055 +1972,10,0.16134388744831085,other external,18-20 yrs,8,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,23.342670440673828 +1972,10,0.16134388744831085,internal,18-20 yrs,10,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,29.17833709716797 +1972,10,0.16134388744831085,all,21-24 yrs,32,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,85.81388854980469 +1972,10,0.16134388744831085,MVA,21-24 yrs,10,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,26.81684112548828 +1972,10,0.16134388744831085,suicide,21-24 yrs,6,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,16.090105056762695 +1972,10,0.16134388744831085,homicide,21-24 yrs,4,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,10.726736068725586 +1972,10,0.16134388744831085,other external,21-24 yrs,4,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,10.726736068725586 +1972,10,0.16134388744831085,internal,21-24 yrs,8,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,21.453472137451172 +1973,10,0.3258828818798065,MVA,15-17 yrs,13,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,36.02904510498047 +1973,10,0.3258828818798065,suicide,15-17 yrs,3,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,8.3143949508667 +1973,10,0.3258828818798065,homicide,15-17 yrs,1,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,2.7714650630950928 +1973,10,0.3258828818798065,other external,15-17 yrs,10,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.714649200439453 +1973,10,0.3258828818798065,internal,15-17 yrs,10,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.714649200439453 +1973,10,0.3258828818798065,all,18-20 yrs,45,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,125.7264175415039 +1973,10,0.3258828818798065,MVA,18-20 yrs,18,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,50.29056930541992 +1973,10,0.3258828818798065,suicide,18-20 yrs,10,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.939205169677734 +1973,10,0.3258828818798065,homicide,18-20 yrs,5,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,13.969602584838867 +1973,10,0.3258828818798065,other external,18-20 yrs,6,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,16.76352310180664 +1973,10,0.3258828818798065,internal,18-20 yrs,6,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,16.76352310180664 +1973,10,0.3258828818798065,all,21-24 yrs,58,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,153.15553283691406 +1973,10,0.3258828818798065,MVA,21-24 yrs,21,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,55.45286560058594 +1973,10,0.3258828818798065,suicide,21-24 yrs,6,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,15.84367561340332 +1973,10,0.3258828818798065,homicide,21-24 yrs,3,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,7.92183780670166 +1973,10,0.3258828818798065,other external,21-24 yrs,15,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,39.609188079833984 +1973,10,0.3258828818798065,internal,21-24 yrs,13,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,34.327964782714844 +1974,10,0.32573792338371277,MVA,15-17 yrs,12,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,32.67973709106445 +1974,10,0.32573792338371277,suicide,15-17 yrs,1,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,2.72331166267395 +1974,10,0.32573792338371277,homicide,15-17 yrs,1,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,2.72331166267395 +1974,10,0.32573792338371277,other external,15-17 yrs,8,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,21.7864933013916 +1974,10,0.32573792338371277,internal,15-17 yrs,17,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,46.296295166015625 +1974,10,0.32573792338371277,all,18-20 yrs,35,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,94.60482025146484 +1974,10,0.32573792338371277,MVA,18-20 yrs,13,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,35.13893508911133 +1974,10,0.32573792338371277,suicide,18-20 yrs,3,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,8.10898494720459 +1974,10,0.32573792338371277,homicide,18-20 yrs,8,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,21.623958587646484 +1974,10,0.32573792338371277,other external,18-20 yrs,5,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,13.514974594116211 +1974,10,0.32573792338371277,internal,18-20 yrs,6,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,16.21796989440918 +1974,10,0.32573792338371277,all,21-24 yrs,56,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,142.01303100585938 +1974,10,0.32573792338371277,MVA,21-24 yrs,22,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,55.790836334228516 +1974,10,0.32573792338371277,suicide,21-24 yrs,3,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,7.6078410148620605 +1974,10,0.32573792338371277,homicide,21-24 yrs,7,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,17.751628875732422 +1974,10,0.32573792338371277,other external,21-24 yrs,11,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,27.895418167114258 +1974,10,0.32573792338371277,internal,21-24 yrs,13,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,32.96731185913086 +1975,10,0.32366180419921875,MVA,15-17 yrs,13,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,35.46776580810547 +1975,10,0.32366180419921875,suicide,15-17 yrs,1,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,2.7282896041870117 +1975,10,0.32366180419921875,homicide,15-17 yrs,3,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,8.184868812561035 +1975,10,0.32366180419921875,other external,15-17 yrs,4,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,10.913158416748047 +1975,10,0.32366180419921875,internal,15-17 yrs,7,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,19.0980281829834 +1975,10,0.32366180419921875,all,18-20 yrs,35,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,91.0770492553711 +1975,10,0.32366180419921875,MVA,18-20 yrs,19,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,49.441829681396484 +1975,10,0.32366180419921875,suicide,18-20 yrs,2,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,5.204402923583984 +1975,10,0.32366180419921875,homicide,18-20 yrs,3,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,7.806604385375977 +1975,10,0.32366180419921875,other external,18-20 yrs,6,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,15.613208770751953 +1975,10,0.32366180419921875,internal,18-20 yrs,5,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,13.011007308959961 +1975,10,0.32366180419921875,all,21-24 yrs,39,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,93.3863296508789 +1975,10,0.32366180419921875,MVA,21-24 yrs,12,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,28.734256744384766 +1975,10,0.32366180419921875,suicide,21-24 yrs,5,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,11.972606658935547 +1975,10,0.32366180419921875,homicide,21-24 yrs,6,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,14.367128372192383 +1975,10,0.32366180419921875,other external,21-24 yrs,6,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,14.367128372192383 +1975,10,0.32366180419921875,internal,21-24 yrs,10,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,23.945213317871094 +1976,10,0.32357504963874817,MVA,15-17 yrs,13,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,35.3751106262207 +1976,10,0.32357504963874817,suicide,15-17 yrs,2,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,5.442325115203857 +1976,10,0.32357504963874817,homicide,15-17 yrs,3,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,8.163487434387207 +1976,10,0.32357504963874817,other external,15-17 yrs,0,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,0 +1976,10,0.32357504963874817,internal,15-17 yrs,6,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,16.326974868774414 +1976,10,0.32357504963874817,all,18-20 yrs,48,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,122.0845947265625 +1976,10,0.32357504963874817,MVA,18-20 yrs,25,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,63.58572769165039 +1976,10,0.32357504963874817,suicide,18-20 yrs,6,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,15.260574340820312 +1976,10,0.32357504963874817,homicide,18-20 yrs,5,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,12.717144966125488 +1976,10,0.32357504963874817,other external,18-20 yrs,8,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,20.34743309020996 +1976,10,0.32357504963874817,internal,18-20 yrs,4,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,10.17371654510498 +1976,10,0.32357504963874817,all,21-24 yrs,50,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,114.89762878417969 +1976,10,0.32357504963874817,MVA,21-24 yrs,19,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,43.66109848022461 +1976,10,0.32357504963874817,suicide,21-24 yrs,5,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,11.489762306213379 +1976,10,0.32357504963874817,homicide,21-24 yrs,6,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,13.787714958190918 +1976,10,0.32357504963874817,other external,21-24 yrs,6,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,13.787714958190918 +1976,10,0.32357504963874817,internal,21-24 yrs,14,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,32.17133712768555 +1977,10,0.3318800628185272,MVA,15-17 yrs,8,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,21.951486587524414 +1977,10,0.3318800628185272,suicide,15-17 yrs,4,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,10.975743293762207 +1977,10,0.3318800628185272,homicide,15-17 yrs,1,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,2.7439358234405518 +1977,10,0.3318800628185272,other external,15-17 yrs,8,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,21.951486587524414 +1977,10,0.3318800628185272,internal,15-17 yrs,6,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,16.46361541748047 +1977,10,0.3318800628185272,all,18-20 yrs,32,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,81.11328125 +1977,10,0.3318800628185272,MVA,18-20 yrs,10,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,25.347900390625 +1977,10,0.3318800628185272,suicide,18-20 yrs,4,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,10.13916015625 +1977,10,0.3318800628185272,homicide,18-20 yrs,0,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,0 +1977,10,0.3318800628185272,other external,18-20 yrs,13,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,32.9522705078125 +1977,10,0.3318800628185272,internal,18-20 yrs,5,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,12.6739501953125 +1977,10,0.3318800628185272,all,21-24 yrs,49,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,110.28832244873047 +1977,10,0.3318800628185272,MVA,21-24 yrs,20,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,45.01564407348633 +1977,10,0.3318800628185272,suicide,21-24 yrs,6,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,13.504693031311035 +1977,10,0.3318800628185272,homicide,21-24 yrs,4,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,9.003129005432129 +1977,10,0.3318800628185272,other external,21-24 yrs,5,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,11.253911018371582 +1977,10,0.3318800628185272,internal,21-24 yrs,14,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,31.510950088500977 +1978,10,0.33196428418159485,MVA,15-17 yrs,20,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,55.25777816772461 +1978,10,0.33196428418159485,suicide,15-17 yrs,2,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,5.525777816772461 +1978,10,0.33196428418159485,homicide,15-17 yrs,1,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,2.7628889083862305 +1978,10,0.33196428418159485,other external,15-17 yrs,5,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,13.814444541931152 +1978,10,0.33196428418159485,internal,15-17 yrs,9,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,24.865999221801758 +1978,10,0.33196428418159485,all,18-20 yrs,51,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,130.10203552246094 +1978,10,0.33196428418159485,MVA,18-20 yrs,24,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,61.224491119384766 +1978,10,0.33196428418159485,suicide,18-20 yrs,8,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,20.40816307067871 +1978,10,0.33196428418159485,homicide,18-20 yrs,3,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,7.653061389923096 +1978,10,0.33196428418159485,other external,18-20 yrs,5,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,12.755102157592773 +1978,10,0.33196428418159485,internal,18-20 yrs,11,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,28.06122398376465 +1978,10,0.33196428418159485,all,21-24 yrs,53,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,116.27906799316406 +1978,10,0.33196428418159485,MVA,21-24 yrs,16,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,35.10311508178711 +1978,10,0.33196428418159485,suicide,21-24 yrs,10,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,21.9394474029541 +1978,10,0.33196428418159485,homicide,21-24 yrs,7,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,15.357612609863281 +1978,10,0.33196428418159485,other external,21-24 yrs,5,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,10.96972370147705 +1978,10,0.33196428418159485,internal,21-24 yrs,15,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,32.90917205810547 +1979,10,0.33138787746429443,MVA,15-17 yrs,10,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,28.31096839904785 +1979,10,0.33138787746429443,suicide,15-17 yrs,1,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,2.831096649169922 +1979,10,0.33138787746429443,homicide,15-17 yrs,0,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,0 +1979,10,0.33138787746429443,other external,15-17 yrs,6,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,16.98657989501953 +1979,10,0.33138787746429443,internal,15-17 yrs,6,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,16.98657989501953 +1979,10,0.33138787746429443,all,18-20 yrs,29,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,74.56163024902344 +1979,10,0.33138787746429443,MVA,18-20 yrs,14,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,35.995269775390625 +1979,10,0.33138787746429443,suicide,18-20 yrs,6,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,15.426544189453125 +1979,10,0.33138787746429443,homicide,18-20 yrs,1,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,2.5710906982421875 +1979,10,0.33138787746429443,other external,18-20 yrs,4,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,10.28436279296875 +1979,10,0.33138787746429443,internal,18-20 yrs,4,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,10.28436279296875 +1979,10,0.33138787746429443,all,21-24 yrs,58,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,126.37541961669922 +1979,10,0.33138787746429443,MVA,21-24 yrs,18,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,39.2199592590332 +1979,10,0.33138787746429443,suicide,21-24 yrs,10,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,21.78886604309082 +1979,10,0.33138787746429443,homicide,21-24 yrs,3,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,6.5366597175598145 +1979,10,0.33138787746429443,other external,21-24 yrs,7,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,15.252205848693848 +1979,10,0.33138787746429443,internal,21-24 yrs,20,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,43.57773208618164 +1980,10,0.33141854405403137,MVA,15-17 yrs,15,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,43.86349868774414 +1980,10,0.33141854405403137,suicide,15-17 yrs,1,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,2.9242331981658936 +1980,10,0.33141854405403137,homicide,15-17 yrs,1,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,2.9242331981658936 +1980,10,0.33141854405403137,other external,15-17 yrs,7,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,20.46963119506836 +1980,10,0.33141854405403137,internal,15-17 yrs,7,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,20.46963119506836 +1980,10,0.33141854405403137,all,18-20 yrs,48,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,127.65278625488281 +1980,10,0.33141854405403137,MVA,18-20 yrs,25,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,66.48582458496094 +1980,10,0.33141854405403137,suicide,18-20 yrs,6,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,15.956598281860352 +1980,10,0.33141854405403137,homicide,18-20 yrs,2,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,5.31886625289917 +1980,10,0.33141854405403137,other external,18-20 yrs,8,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,21.27546501159668 +1980,10,0.33141854405403137,internal,18-20 yrs,7,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,18.616031646728516 +1980,10,0.33141854405403137,all,21-24 yrs,73,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,158.32736206054688 +1980,10,0.33141854405403137,MVA,21-24 yrs,31,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,67.23490905761719 +1980,10,0.33141854405403137,suicide,21-24 yrs,7,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,15.182076454162598 +1980,10,0.33141854405403137,homicide,21-24 yrs,11,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,23.8575496673584 +1980,10,0.33141854405403137,other external,21-24 yrs,10,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,21.68868064880371 +1980,10,0.33141854405403137,internal,21-24 yrs,14,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,30.364152908325195 +1981,10,0.34862014651298523,MVA,15-17 yrs,7,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,21.48623275756836 +1981,10,0.34862014651298523,suicide,15-17 yrs,2,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,6.138923645019531 +1981,10,0.34862014651298523,homicide,15-17 yrs,3,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,9.208385467529297 +1981,10,0.34862014651298523,other external,15-17 yrs,3,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,9.208385467529297 +1981,10,0.34862014651298523,internal,15-17 yrs,6,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,18.416770935058594 +1981,10,0.34862014651298523,all,18-20 yrs,35,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,94.41851806640625 +1981,10,0.34862014651298523,MVA,18-20 yrs,14,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,37.76740646362305 +1981,10,0.34862014651298523,suicide,18-20 yrs,11,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,29.67439079284668 +1981,10,0.34862014651298523,homicide,18-20 yrs,4,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.790687561035156 +1981,10,0.34862014651298523,other external,18-20 yrs,1,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,2.697671890258789 +1981,10,0.34862014651298523,internal,18-20 yrs,5,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,13.488359451293945 +1981,10,0.34862014651298523,all,21-24 yrs,45,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,94.79671478271484 +1981,10,0.34862014651298523,MVA,21-24 yrs,17,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,35.81209182739258 +1981,10,0.34862014651298523,suicide,21-24 yrs,10,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,21.065937042236328 +1981,10,0.34862014651298523,homicide,21-24 yrs,5,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.532968521118164 +1981,10,0.34862014651298523,other external,21-24 yrs,5,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.532968521118164 +1981,10,0.34862014651298523,internal,21-24 yrs,8,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,16.85274887084961 +1982,10,0.34909090399742126,MVA,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,suicide,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,homicide,15-17 yrs,1,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,3.2330024242401123 +1982,10,0.34909090399742126,other external,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,internal,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,all,18-20 yrs,45,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,124.91325378417969 +1982,10,0.34909090399742126,MVA,18-20 yrs,26,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,72.17210388183594 +1982,10,0.34909090399742126,suicide,18-20 yrs,5,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,13.879250526428223 +1982,10,0.34909090399742126,homicide,18-20 yrs,4,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,11.103400230407715 +1982,10,0.34909090399742126,other external,18-20 yrs,3,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,8.327549934387207 +1982,10,0.34909090399742126,internal,18-20 yrs,7,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,19.430950164794922 +1982,10,0.34909090399742126,all,21-24 yrs,58,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,119.2091064453125 +1982,10,0.34909090399742126,MVA,21-24 yrs,25,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,51.383235931396484 +1982,10,0.34909090399742126,suicide,21-24 yrs,8,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,16.442636489868164 +1982,10,0.34909090399742126,homicide,21-24 yrs,5,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,10.276647567749023 +1982,10,0.34909090399742126,other external,21-24 yrs,11,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,22.608623504638672 +1982,10,0.34909090399742126,internal,21-24 yrs,9,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,18.49796485900879 +1983,10,0.34485405683517456,MVA,15-17 yrs,9,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,30.57584571838379 +1983,10,0.34485405683517456,suicide,15-17 yrs,1,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,3.3973162174224854 +1983,10,0.34485405683517456,homicide,15-17 yrs,0,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,0 +1983,10,0.34485405683517456,other external,15-17 yrs,0,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,0 +1983,10,0.34485405683517456,internal,15-17 yrs,5,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,16.98657989501953 +1983,10,0.34485405683517456,all,18-20 yrs,23,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,65.37248229980469 +1983,10,0.34485405683517456,MVA,18-20 yrs,10,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,28.42281723022461 +1983,10,0.34485405683517456,suicide,18-20 yrs,1,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,2.8422818183898926 +1983,10,0.34485405683517456,homicide,18-20 yrs,1,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,2.8422818183898926 +1983,10,0.34485405683517456,other external,18-20 yrs,2,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,5.684563636779785 +1983,10,0.34485405683517456,internal,18-20 yrs,9,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,25.580535888671875 +1983,10,0.34485405683517456,all,21-24 yrs,51,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,103.64379119873047 +1983,10,0.34485405683517456,MVA,21-24 yrs,19,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,38.61239242553711 +1983,10,0.34485405683517456,suicide,21-24 yrs,5,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,10.161155700683594 +1983,10,0.34485405683517456,homicide,21-24 yrs,4,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,8.128924369812012 +1983,10,0.34485405683517456,other external,21-24 yrs,10,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,20.322311401367188 +1983,10,0.34485405683517456,internal,21-24 yrs,13,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,26.41900634765625 +1984,10,0.30926060676574707,MVA,15-17 yrs,9,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,31.661155700683594 +1984,10,0.30926060676574707,suicide,15-17 yrs,1,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,3.5179061889648438 +1984,10,0.30926060676574707,homicide,15-17 yrs,0,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,0 +1984,10,0.30926060676574707,other external,15-17 yrs,2,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,7.0358123779296875 +1984,10,0.30926060676574707,internal,15-17 yrs,2,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,7.0358123779296875 +1984,10,0.30926060676574707,all,18-20 yrs,34,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,98.80274200439453 +1984,10,0.30926060676574707,MVA,18-20 yrs,14,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,40.6834831237793 +1984,10,0.30926060676574707,suicide,18-20 yrs,4,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,11.623851776123047 +1984,10,0.30926060676574707,homicide,18-20 yrs,1,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,2.9059629440307617 +1984,10,0.30926060676574707,other external,18-20 yrs,3,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,8.717888832092285 +1984,10,0.30926060676574707,internal,18-20 yrs,12,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,34.87155532836914 +1984,10,0.30926060676574707,all,21-24 yrs,43,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,88.00654602050781 +1984,10,0.30926060676574707,MVA,21-24 yrs,20,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,40.93327713012695 +1984,10,0.30926060676574707,suicide,21-24 yrs,6,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,12.279983520507812 +1984,10,0.30926060676574707,homicide,21-24 yrs,4,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,8.18665599822998 +1984,10,0.30926060676574707,other external,21-24 yrs,5,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,10.233319282531738 +1984,10,0.30926060676574707,internal,21-24 yrs,8,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,16.37331199645996 +1985,10,0.043799988925457,MVA,15-17 yrs,10,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,35.47986602783203 +1985,10,0.043799988925457,suicide,15-17 yrs,2,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,7.095973014831543 +1985,10,0.043799988925457,homicide,15-17 yrs,0,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,0 +1985,10,0.043799988925457,other external,15-17 yrs,2,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,7.095973014831543 +1985,10,0.043799988925457,internal,15-17 yrs,5,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,17.739933013916016 +1985,10,0.043799988925457,all,18-20 yrs,24,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,72.14139556884766 +1985,10,0.043799988925457,MVA,18-20 yrs,10,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,30.058916091918945 +1985,10,0.043799988925457,suicide,18-20 yrs,2,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,6.011783123016357 +1985,10,0.043799988925457,homicide,18-20 yrs,1,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,3.0058915615081787 +1985,10,0.043799988925457,other external,18-20 yrs,4,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,12.023566246032715 +1985,10,0.043799988925457,internal,18-20 yrs,7,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,21.041240692138672 +1985,10,0.043799988925457,all,21-24 yrs,44,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,90.7403564453125 +1985,10,0.043799988925457,MVA,21-24 yrs,20,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,41.2456169128418 +1985,10,0.043799988925457,suicide,21-24 yrs,2,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,4.124561786651611 +1985,10,0.043799988925457,homicide,21-24 yrs,1,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,2.0622808933258057 +1985,10,0.043799988925457,other external,21-24 yrs,5,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,10.31140422821045 +1985,10,0.043799988925457,internal,21-24 yrs,16,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,32.99649429321289 +1986,10,0,MVA,15-17 yrs,8,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,27.89789390563965 +1986,10,0,suicide,15-17 yrs,1,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.487236738204956 +1986,10,0,homicide,15-17 yrs,0,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,0 +1986,10,0,other external,15-17 yrs,4,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,13.948946952819824 +1986,10,0,internal,15-17 yrs,5,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,17.43618392944336 +1986,10,0,all,18-20 yrs,33,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,102.41767883300781 +1986,10,0,MVA,18-20 yrs,22,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,68.27845001220703 +1986,10,0,suicide,18-20 yrs,4,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,12.414263725280762 +1986,10,0,homicide,18-20 yrs,1,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.1035659313201904 +1986,10,0,other external,18-20 yrs,1,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.1035659313201904 +1986,10,0,internal,18-20 yrs,5,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,15.517829895019531 +1986,10,0,all,21-24 yrs,58,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,122.35254669189453 +1986,10,0,MVA,21-24 yrs,24,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,50.628639221191406 +1986,10,0,suicide,21-24 yrs,9,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,18.98573875427246 +1986,10,0,homicide,21-24 yrs,5,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,10.547633171081543 +1986,10,0,other external,21-24 yrs,6,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,12.657159805297852 +1986,10,0,internal,21-24 yrs,14,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,29.53337287902832 +1987,10,0,MVA,15-17 yrs,9,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,31.906972885131836 +1987,10,0,suicide,15-17 yrs,2,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,7.090438365936279 +1987,10,0,homicide,15-17 yrs,0,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,0 +1987,10,0,other external,15-17 yrs,1,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,3.5452191829681396 +1987,10,0,internal,15-17 yrs,8,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,28.361753463745117 +1987,10,0,all,18-20 yrs,21,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,65.9796371459961 +1987,10,0,MVA,18-20 yrs,8,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,25.135101318359375 +1987,10,0,suicide,18-20 yrs,4,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.567550659179688 +1987,10,0,homicide,18-20 yrs,4,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.567550659179688 +1987,10,0,other external,18-20 yrs,3,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,9.425662994384766 +1987,10,0,internal,18-20 yrs,2,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,6.283775329589844 +1987,10,0,all,21-24 yrs,54,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,116.67855072021484 +1987,10,0,MVA,21-24 yrs,25,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,54.01784896850586 +1987,10,0,suicide,21-24 yrs,11,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,23.767852783203125 +1987,10,0,homicide,21-24 yrs,4,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,8.642855644226074 +1987,10,0,other external,21-24 yrs,8,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,17.28571128845215 +1987,10,0,internal,21-24 yrs,6,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.964282989501953 +1988,10,0,MVA,15-17 yrs,9,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,33.443572998046875 +1988,10,0,suicide,15-17 yrs,4,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,14.863810539245605 +1988,10,0,homicide,15-17 yrs,0,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,0 +1988,10,0,other external,15-17 yrs,1,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,3.7159526348114014 +1988,10,0,internal,15-17 yrs,2,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,7.431905269622803 +1988,10,0,all,18-20 yrs,35,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,108.55742645263672 +1988,10,0,MVA,18-20 yrs,19,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,58.931175231933594 +1988,10,0,suicide,18-20 yrs,5,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,15.508203506469727 +1988,10,0,homicide,18-20 yrs,2,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,6.203281402587891 +1988,10,0,other external,18-20 yrs,3,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,9.304922103881836 +1988,10,0,internal,18-20 yrs,6,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,18.609844207763672 +1988,10,0,all,21-24 yrs,50,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,110.34117126464844 +1988,10,0,MVA,21-24 yrs,20,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,44.136470794677734 +1988,10,0,suicide,21-24 yrs,9,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,19.861412048339844 +1988,10,0,homicide,21-24 yrs,5,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,11.034117698669434 +1988,10,0,other external,21-24 yrs,3,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,6.6204705238342285 +1988,10,0,internal,21-24 yrs,13,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,28.688705444335938 +1989,10,0,MVA,15-17 yrs,7,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,27.858478546142578 +1989,10,0,suicide,15-17 yrs,2,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,7.95956563949585 +1989,10,0,homicide,15-17 yrs,0,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,other external,15-17 yrs,1,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,3.979782819747925 +1989,10,0,internal,15-17 yrs,1,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,3.979782819747925 +1989,10,0,all,18-20 yrs,20,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,59.797882080078125 +1989,10,0,MVA,18-20 yrs,15,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,44.848411560058594 +1989,10,0,suicide,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,homicide,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,other external,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,internal,18-20 yrs,5,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,14.949470520019531 +1989,10,0,all,21-24 yrs,47,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,107.18113708496094 +1989,10,0,MVA,21-24 yrs,16,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,36.4871940612793 +1989,10,0,suicide,21-24 yrs,9,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,20.5240478515625 +1989,10,0,homicide,21-24 yrs,2,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,4.560899257659912 +1989,10,0,other external,21-24 yrs,10,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,22.80449676513672 +1989,10,0,internal,21-24 yrs,10,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,22.80449676513672 +1990,10,0,MVA,15-17 yrs,7,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,28.446033477783203 +1990,10,0,suicide,15-17 yrs,1,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,4.063719272613525 +1990,10,0,homicide,15-17 yrs,3,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,12.191157341003418 +1990,10,0,other external,15-17 yrs,3,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,12.191157341003418 +1990,10,0,internal,15-17 yrs,5,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,20.31859588623047 +1990,10,0,all,18-20 yrs,32,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,96.223236083984375 +1990,10,0,MVA,18-20 yrs,13,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,39.09069061279297 +1990,10,0,suicide,18-20 yrs,7,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,21.0488338470459 +1990,10,0,homicide,18-20 yrs,3,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,9.020928382873535 +1990,10,0,other external,18-20 yrs,2,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,6.013952255249023 +1990,10,0,internal,18-20 yrs,7,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,21.0488338470459 +1990,10,0,all,21-24 yrs,35,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,81.351837158203125 +1990,10,0,MVA,21-24 yrs,14,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,32.540733337402344 +1990,10,0,suicide,21-24 yrs,2,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,4.64867639541626 +1990,10,0,homicide,21-24 yrs,6,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,13.946028709411621 +1990,10,0,other external,21-24 yrs,4,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,9.29735279083252 +1990,10,0,internal,21-24 yrs,9,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,20.919042587280273 +1991,10,0,MVA,15-17 yrs,4,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,16.17534065246582 +1991,10,0,suicide,15-17 yrs,1,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.043835163116455 +1991,10,0,homicide,15-17 yrs,4,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,16.17534065246582 +1991,10,0,other external,15-17 yrs,0,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,0 +1991,10,0,internal,15-17 yrs,1,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.043835163116455 +1991,10,0,all,18-20 yrs,19,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,62.51233673095703 +1991,10,0,MVA,18-20 yrs,11,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,36.19135284423828 +1991,10,0,suicide,18-20 yrs,1,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,3.2901229858398438 +1991,10,0,homicide,18-20 yrs,2,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,6.5802459716796875 +1991,10,0,other external,18-20 yrs,1,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,3.2901229858398438 +1991,10,0,internal,18-20 yrs,4,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,13.160491943359375 +1991,10,0,all,21-24 yrs,28,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,63.6479377746582 +1991,10,0,MVA,21-24 yrs,8,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,18.18512535095215 +1991,10,0,suicide,21-24 yrs,2,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.546281337738037 +1991,10,0,homicide,21-24 yrs,6,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,13.638843536376953 +1991,10,0,other external,21-24 yrs,4,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,9.092562675476074 +1991,10,0,internal,21-24 yrs,8,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,18.18512535095215 +1992,10,0,MVA,15-17 yrs,7,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,27.503829956054688 +1992,10,0,suicide,15-17 yrs,0,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,0 +1992,10,0,homicide,15-17 yrs,1,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.9291186332702637 +1992,10,0,other external,15-17 yrs,1,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.9291186332702637 +1992,10,0,internal,15-17 yrs,2,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.858237266540527 +1992,10,0,all,18-20 yrs,22,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,80.65107727050781 +1992,10,0,MVA,18-20 yrs,13,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,47.65745162963867 +1992,10,0,suicide,18-20 yrs,4,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,14.66383171081543 +1992,10,0,homicide,18-20 yrs,2,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.331915855407715 +1992,10,0,other external,18-20 yrs,2,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.331915855407715 +1992,10,0,internal,18-20 yrs,1,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.6659579277038574 +1992,10,0,all,21-24 yrs,38,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,84.38631439208984 +1992,10,0,MVA,21-24 yrs,21,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,46.63454055786133 +1992,10,0,suicide,21-24 yrs,5,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,11.103462219238281 +1992,10,0,homicide,21-24 yrs,4,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,8.882769584655762 +1992,10,0,other external,21-24 yrs,2,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,4.441384792327881 +1992,10,0,internal,21-24 yrs,6,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,13.3241548538208 +1993,10,0,MVA,15-17 yrs,6,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,23.148147583007812 +1993,10,0,suicide,15-17 yrs,3,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,11.574073791503906 +1993,10,0,homicide,15-17 yrs,1,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,3.8580245971679688 +1993,10,0,other external,15-17 yrs,0,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,0 +1993,10,0,internal,15-17 yrs,4,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.432098388671875 +1993,10,0,all,18-20 yrs,24,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,91.8203353881836 +1993,10,0,MVA,18-20 yrs,8,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,30.606779098510742 +1993,10,0,suicide,18-20 yrs,1,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,3.8258473873138428 +1993,10,0,homicide,18-20 yrs,4,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.303389549255371 +1993,10,0,other external,18-20 yrs,4,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.303389549255371 +1993,10,0,internal,18-20 yrs,7,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,26.78093147277832 +1993,10,0,all,21-24 yrs,34,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,76.14952087402344 +1993,10,0,MVA,21-24 yrs,9,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,20.1572265625 +1993,10,0,suicide,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,homicide,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,other external,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,internal,21-24 yrs,13,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,29.11599349975586 +1994,10,0,MVA,15-17 yrs,3,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,11.166114807128906 +1994,10,0,suicide,15-17 yrs,0,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,0 +1994,10,0,homicide,15-17 yrs,1,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,3.7220382690429688 +1994,10,0,other external,15-17 yrs,1,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,3.7220382690429688 +1994,10,0,internal,15-17 yrs,6,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,22.332229614257812 +1994,10,0,all,18-20 yrs,23,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,87.20709991455078 +1994,10,0,MVA,18-20 yrs,8,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,30.332902908325195 +1994,10,0,suicide,18-20 yrs,4,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,15.166451454162598 +1994,10,0,homicide,18-20 yrs,2,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,7.583225727081299 +1994,10,0,other external,18-20 yrs,6,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,22.749677658081055 +1994,10,0,internal,18-20 yrs,3,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,11.374838829040527 +1994,10,0,all,21-24 yrs,46,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,108.62378692626953 +1994,10,0,MVA,21-24 yrs,12,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,28.336639404296875 +1994,10,0,suicide,21-24 yrs,8,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,18.89109230041504 +1994,10,0,homicide,21-24 yrs,6,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,14.168319702148438 +1994,10,0,other external,21-24 yrs,7,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,16.529706954956055 +1994,10,0,internal,21-24 yrs,13,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,30.698026657104492 +1995,10,0,MVA,15-17 yrs,5,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,18.018667221069336 +1995,10,0,suicide,15-17 yrs,0,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,0 +1995,10,0,homicide,15-17 yrs,2,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,7.207467079162598 +1995,10,0,other external,15-17 yrs,3,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,10.811200141906738 +1995,10,0,internal,15-17 yrs,6,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,21.622400283813477 +1995,10,0,all,18-20 yrs,29,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,105.80852508544922 +1995,10,0,MVA,18-20 yrs,8,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,29.18855857849121 +1995,10,0,suicide,18-20 yrs,4,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,14.594279289245605 +1995,10,0,homicide,18-20 yrs,4,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,14.594279289245605 +1995,10,0,other external,18-20 yrs,5,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,18.242849349975586 +1995,10,0,internal,18-20 yrs,8,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,29.18855857849121 +1995,10,0,all,21-24 yrs,30,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,75.67539978027344 +1995,10,0,MVA,21-24 yrs,12,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,30.270160675048828 +1995,10,0,suicide,21-24 yrs,6,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,15.135080337524414 +1995,10,0,homicide,21-24 yrs,2,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,5.045026779174805 +1995,10,0,other external,21-24 yrs,3,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,7.567540168762207 +1995,10,0,internal,21-24 yrs,7,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,17.657594680786133 +1996,10,0,MVA,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,suicide,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,homicide,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,other external,15-17 yrs,1,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,3.4935717582702637 +1996,10,0,internal,15-17 yrs,6,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,20.9614315032959 +1996,10,0,all,18-20 yrs,24,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,85.33940124511719 +1996,10,0,MVA,18-20 yrs,14,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,49.78131866455078 +1996,10,0,suicide,18-20 yrs,2,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,7.111616611480713 +1996,10,0,homicide,18-20 yrs,2,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,7.111616611480713 +1996,10,0,other external,18-20 yrs,3,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.667425155639648 +1996,10,0,internal,18-20 yrs,3,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.667425155639648 +1996,10,0,all,21-24 yrs,30,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,81.11615753173828 +1996,10,0,MVA,21-24 yrs,11,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,29.742591857910156 +1996,10,0,suicide,21-24 yrs,5,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,13.519359588623047 +1996,10,0,homicide,21-24 yrs,2,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,5.40774393081665 +1996,10,0,other external,21-24 yrs,5,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,13.519359588623047 +1996,10,0,internal,21-24 yrs,7,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,18.92710304260254 +1970,11,1,MVA,15-17 yrs,7,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,19.577680587768555 +1970,11,1,suicide,15-17 yrs,0,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,0 +1970,11,1,homicide,15-17 yrs,6,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,16.78087043762207 +1970,11,1,other external,15-17 yrs,6,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,16.78087043762207 +1970,11,1,internal,15-17 yrs,30,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,83.90435028076172 +1970,11,1,all,18-20 yrs,100,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,215.70318603515625 +1970,11,1,MVA,18-20 yrs,15,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,32.3554801940918 +1970,11,1,suicide,18-20 yrs,3,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,6.471095561981201 +1970,11,1,homicide,18-20 yrs,15,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,32.3554801940918 +1970,11,1,other external,18-20 yrs,25,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,53.92579650878906 +1970,11,1,internal,18-20 yrs,42,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,90.59534454345703 +1970,11,1,all,21-24 yrs,155,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,245.0050506591797 +1970,11,1,MVA,21-24 yrs,14,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,22.12948989868164 +1970,11,1,suicide,21-24 yrs,7,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,11.06474494934082 +1970,11,1,homicide,21-24 yrs,39,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,61.64643478393555 +1970,11,1,other external,21-24 yrs,29,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,45.839656829833984 +1970,11,1,internal,21-24 yrs,66,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,104.32473754882812 +1971,11,1,MVA,15-17 yrs,6,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,16.48396873474121 +1971,11,1,suicide,15-17 yrs,1,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,2.747328281402588 +1971,11,1,homicide,15-17 yrs,15,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,41.209922790527344 +1971,11,1,other external,15-17 yrs,9,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,24.725954055786133 +1971,11,1,internal,15-17 yrs,23,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,63.18854904174805 +1971,11,1,all,18-20 yrs,95,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,212.5374755859375 +1971,11,1,MVA,18-20 yrs,9,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,20.135129928588867 +1971,11,1,suicide,18-20 yrs,2,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,4.474472999572754 +1971,11,1,homicide,18-20 yrs,20,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,44.74473190307617 +1971,11,1,other external,18-20 yrs,26,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,58.16815185546875 +1971,11,1,internal,18-20 yrs,38,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,85.0149917602539 +1971,11,1,all,21-24 yrs,167,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,262.4300842285156 +1971,11,1,MVA,21-24 yrs,18,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,28.28587532043457 +1971,11,1,suicide,21-24 yrs,8,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,12.571500778198242 +1971,11,1,homicide,21-24 yrs,38,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,59.71462631225586 +1971,11,1,other external,21-24 yrs,26,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,40.85737609863281 +1971,11,1,internal,21-24 yrs,77,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,121.00069427490234 +1972,11,1,MVA,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,suicide,15-17 yrs,2,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,5.452859878540039 +1972,11,1,homicide,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,other external,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,internal,15-17 yrs,14,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,38.170021057128906 +1972,11,1,all,18-20 yrs,96,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,214.95263671875 +1972,11,1,MVA,18-20 yrs,8,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,17.9127197265625 +1972,11,1,suicide,18-20 yrs,2,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,4.478179931640625 +1972,11,1,homicide,18-20 yrs,20,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,44.78179931640625 +1972,11,1,other external,18-20 yrs,22,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,49.259979248046875 +1972,11,1,internal,18-20 yrs,44,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,98.51995849609375 +1972,11,1,all,21-24 yrs,136,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,222.27670288085938 +1972,11,1,MVA,21-24 yrs,8,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,13.07509994506836 +1972,11,1,suicide,21-24 yrs,8,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,13.07509994506836 +1972,11,1,homicide,21-24 yrs,30,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,49.03162384033203 +1972,11,1,other external,21-24 yrs,46,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,75.18182373046875 +1972,11,1,internal,21-24 yrs,44,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,71.91304779052734 +1973,11,1,MVA,15-17 yrs,6,36823,15.995030403137207,0,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,16.294164657592773 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yrs,13,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,28.890172958374023 +1973,11,1,suicide,18-20 yrs,1,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,2.222321033477783 +1973,11,1,homicide,18-20 yrs,19,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,42.224098205566406 +1973,11,1,other external,18-20 yrs,7,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,15.556246757507324 +1973,11,1,internal,18-20 yrs,29,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,64.44731140136719 +1973,11,1,all,21-24 yrs,117,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,200.24302673339844 +1973,11,1,MVA,21-24 yrs,5,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,8.557394027709961 +1973,11,1,suicide,21-24 yrs,12,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,20.53774642944336 +1973,11,1,homicide,21-24 yrs,41,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,70.1706314086914 +1973,11,1,other external,21-24 yrs,15,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,25.672183990478516 +1973,11,1,internal,21-24 yrs,44,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,75.30506896972656 +1974,11,1,MVA,15-17 yrs,6,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,16.32209014892578 +1974,11,1,suicide,15-17 yrs,2,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,5.4406962394714355 +1974,11,1,homicide,15-17 yrs,11,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,29.923830032348633 +1974,11,1,other external,15-17 yrs,4,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,10.881392478942871 +1974,11,1,internal,15-17 yrs,13,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,35.364524841308594 +1974,11,1,all,18-20 yrs,58,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,128.5290069580078 +1974,11,1,MVA,18-20 yrs,8,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,17.728139877319336 +1974,11,1,suicide,18-20 yrs,6,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,13.296104431152344 +1974,11,1,homicide,18-20 yrs,14,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,31.024242401123047 +1974,11,1,other external,18-20 yrs,10,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,22.160173416137695 +1974,11,1,internal,18-20 yrs,20,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,44.32034683227539 +1974,11,1,all,21-24 yrs,131,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,234.3260955810547 +1974,11,1,MVA,21-24 yrs,17,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,30.408729553222656 +1974,11,1,suicide,21-24 yrs,9,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,16.098739624023438 +1974,11,1,homicide,21-24 yrs,42,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,75.12744903564453 +1974,11,1,other external,21-24 yrs,12,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,21.464984893798828 +1974,11,1,internal,21-24 yrs,51,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,91.22618865966797 +1975,11,1,MVA,15-17 yrs,2,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,5.4745025634765625 +1975,11,1,suicide,15-17 yrs,1,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,2.7372512817382812 +1975,11,1,homicide,15-17 yrs,7,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,19.16075897216797 +1975,11,1,other external,15-17 yrs,3,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,8.211753845214844 +1975,11,1,internal,15-17 yrs,16,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,43.7960205078125 +1975,11,1,all,18-20 yrs,70,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,153.56939697265625 +1975,11,1,MVA,18-20 yrs,6,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,13.163090705871582 +1975,11,1,suicide,18-20 yrs,7,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,15.356939315795898 +1975,11,1,homicide,18-20 yrs,16,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,35.1015739440918 +1975,11,1,other external,18-20 yrs,9,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,19.74463653564453 +1975,11,1,internal,18-20 yrs,32,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,70.2031478881836 +1975,11,1,all,21-24 yrs,119,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,214.81695556640625 +1975,11,1,MVA,21-24 yrs,10,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,18.05184555053711 +1975,11,1,suicide,21-24 yrs,10,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,18.05184555053711 +1975,11,1,homicide,21-24 yrs,35,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,63.18145751953125 +1975,11,1,other external,21-24 yrs,17,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,30.68813705444336 +1975,11,1,internal,21-24 yrs,47,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,84.84367370605469 +1976,11,1,MVA,15-17 yrs,2,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,5.586904525756836 +1976,11,1,suicide,15-17 yrs,1,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,2.793452262878418 +1976,11,1,homicide,15-17 yrs,7,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,19.55416488647461 +1976,11,1,other external,15-17 yrs,1,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,2.793452262878418 +1976,11,1,internal,15-17 yrs,13,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,36.314876556396484 +1976,11,1,all,18-20 yrs,50,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,108.79025268554688 +1976,11,1,MVA,18-20 yrs,6,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,13.054830551147461 +1976,11,1,suicide,18-20 yrs,3,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,6.5274152755737305 +1976,11,1,homicide,18-20 yrs,17,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,36.988685607910156 +1976,11,1,other external,18-20 yrs,6,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,13.054830551147461 +1976,11,1,internal,18-20 yrs,18,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,39.16448974609375 +1976,11,1,all,21-24 yrs,101,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,183.11366271972656 +1976,11,1,MVA,21-24 yrs,8,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,14.50405216217041 +1976,11,1,suicide,21-24 yrs,14,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,25.382091522216797 +1976,11,1,homicide,21-24 yrs,29,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,52.57719039916992 +1976,11,1,other external,21-24 yrs,7,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,12.691045761108398 +1976,11,1,internal,21-24 yrs,43,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,77.95928192138672 +1977,11,1,MVA,15-17 yrs,4,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,11.56771469116211 +1977,11,1,suicide,15-17 yrs,2,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,5.783857345581055 +1977,11,1,homicide,15-17 yrs,6,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,17.351572036743164 +1977,11,1,other external,15-17 yrs,2,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,5.783857345581055 +1977,11,1,internal,15-17 yrs,15,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,43.378929138183594 +1977,11,1,all,18-20 yrs,65,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,142.52822875976562 +1977,11,1,MVA,18-20 yrs,9,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,19.734678268432617 +1977,11,1,suicide,18-20 yrs,8,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,17.54193687438965 +1977,11,1,homicide,18-20 yrs,13,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,28.505645751953125 +1977,11,1,other external,18-20 yrs,7,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,15.349194526672363 +1977,11,1,internal,18-20 yrs,28,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,61.39677810668945 +1977,11,1,all,21-24 yrs,88,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,159.535888671875 +1977,11,1,MVA,21-24 yrs,5,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,9.064539909362793 +1977,11,1,suicide,21-24 yrs,10,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,18.129079818725586 +1977,11,1,homicide,21-24 yrs,23,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,41.69688034057617 +1977,11,1,other external,21-24 yrs,11,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,19.941986083984375 +1977,11,1,internal,21-24 yrs,39,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,70.70340728759766 +1978,11,1,MVA,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,suicide,15-17 yrs,0,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,0 +1978,11,1,homicide,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,other external,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,internal,15-17 yrs,19,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,56.72319030761719 +1978,11,1,all,18-20 yrs,37,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,81.38844299316406 +1978,11,1,MVA,18-20 yrs,4,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,8.798750877380371 +1978,11,1,suicide,18-20 yrs,1,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,2.1996877193450928 +1978,11,1,homicide,18-20 yrs,9,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,19.797189712524414 +1978,11,1,other external,18-20 yrs,3,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,6.599062919616699 +1978,11,1,internal,18-20 yrs,20,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,43.993751525878906 +1978,11,1,all,21-24 yrs,92,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,165.36056518554688 +1978,11,1,MVA,21-24 yrs,7,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,12.581781387329102 +1978,11,1,suicide,21-24 yrs,6,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,10.784383773803711 +1978,11,1,homicide,21-24 yrs,20,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,35.94794845581055 +1978,11,1,other external,21-24 yrs,7,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,12.581781387329102 +1978,11,1,internal,21-24 yrs,52,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,93.46466064453125 +1979,11,1,MVA,15-17 yrs,3,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,9.26755428314209 +1979,11,1,suicide,15-17 yrs,0,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,0 +1979,11,1,homicide,15-17 yrs,6,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,18.53510856628418 +1979,11,1,other external,15-17 yrs,4,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,12.356739044189453 +1979,11,1,internal,15-17 yrs,19,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,58.69451141357422 +1979,11,1,all,18-20 yrs,50,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,111.83180236816406 +1979,11,1,MVA,18-20 yrs,4,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,8.946544647216797 +1979,11,1,suicide,18-20 yrs,3,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,6.709908485412598 +1979,11,1,homicide,18-20 yrs,19,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,42.49608612060547 +1979,11,1,other external,18-20 yrs,8,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,17.893089294433594 +1979,11,1,internal,18-20 yrs,16,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,35.78617858886719 +1979,11,1,all,21-24 yrs,79,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,142.14768981933594 +1979,11,1,MVA,21-24 yrs,7,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,12.595364570617676 +1979,11,1,suicide,21-24 yrs,8,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,14.394702911376953 +1979,11,1,homicide,21-24 yrs,19,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,34.18741989135742 +1979,11,1,other external,21-24 yrs,13,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,23.39139175415039 +1979,11,1,internal,21-24 yrs,32,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,57.57881164550781 +1980,11,1,MVA,15-17 yrs,3,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,9.961482048034668 +1980,11,1,suicide,15-17 yrs,5,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,16.60247039794922 +1980,11,1,homicide,15-17 yrs,9,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,29.88444709777832 +1980,11,1,other external,15-17 yrs,5,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,16.60247039794922 +1980,11,1,internal,15-17 yrs,13,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,43.16642379760742 +1980,11,1,all,18-20 yrs,42,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,103.17636108398438 +1980,11,1,MVA,18-20 yrs,6,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,14.739480018615723 +1980,11,1,suicide,18-20 yrs,5,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,12.282899856567383 +1980,11,1,homicide,18-20 yrs,19,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,46.675018310546875 +1980,11,1,other external,18-20 yrs,3,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,7.369740009307861 +1980,11,1,internal,18-20 yrs,9,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,22.10921859741211 +1980,11,1,all,21-24 yrs,105,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,187.10906982421875 +1980,11,1,MVA,21-24 yrs,12,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,21.383893966674805 +1980,11,1,suicide,21-24 yrs,8,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,14.255929946899414 +1980,11,1,homicide,21-24 yrs,31,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,55.24172592163086 +1980,11,1,other external,21-24 yrs,7,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,12.47393798828125 +1980,11,1,internal,21-24 yrs,47,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,83.75358581542969 +1981,11,1,MVA,15-17 yrs,4,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,13.93145751953125 +1981,11,1,suicide,15-17 yrs,0,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,0 +1981,11,1,homicide,15-17 yrs,4,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,13.93145751953125 +1981,11,1,other external,15-17 yrs,2,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,6.965728759765625 +1981,11,1,internal,15-17 yrs,18,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,62.691558837890625 +1981,11,1,all,18-20 yrs,63,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,163.0645751953125 +1981,11,1,MVA,18-20 yrs,14,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,36.236572265625 +1981,11,1,suicide,18-20 yrs,2,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,5.1766533851623535 +1981,11,1,homicide,18-20 yrs,17,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,44.00155258178711 +1981,11,1,other external,18-20 yrs,8,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,20.706613540649414 +1981,11,1,internal,18-20 yrs,22,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,56.94318771362305 +1981,11,1,all,21-24 yrs,103,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,178.7542724609375 +1981,11,1,MVA,21-24 yrs,11,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,19.090261459350586 +1981,11,1,suicide,21-24 yrs,7,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,12.148348808288574 +1981,11,1,homicide,21-24 yrs,34,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,59.006263732910156 +1981,11,1,other external,21-24 yrs,9,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,15.619305610656738 +1981,11,1,internal,21-24 yrs,42,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,72.89009094238281 +1982,11,1,MVA,15-17 yrs,7,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,25.97209930419922 +1982,11,1,suicide,15-17 yrs,0,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,0 +1982,11,1,homicide,15-17 yrs,5,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,18.551498413085938 +1982,11,1,other external,15-17 yrs,4,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.841198921203613 +1982,11,1,internal,15-17 yrs,15,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,55.65449523925781 +1982,11,1,all,18-20 yrs,43,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,120.44480895996094 +1982,11,1,MVA,18-20 yrs,4,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,11.204168319702148 +1982,11,1,suicide,18-20 yrs,5,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.005209922790527 +1982,11,1,homicide,18-20 yrs,16,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,44.816673278808594 +1982,11,1,other external,18-20 yrs,5,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.005209922790527 +1982,11,1,internal,18-20 yrs,13,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,36.41354751586914 +1982,11,1,all,21-24 yrs,92,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,155.37916564941406 +1982,11,1,MVA,21-24 yrs,3,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,5.066711902618408 +1982,11,1,suicide,21-24 yrs,11,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,18.577943801879883 +1982,11,1,homicide,21-24 yrs,25,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,42.222599029541016 +1982,11,1,other external,21-24 yrs,14,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,23.644655227661133 +1982,11,1,internal,21-24 yrs,39,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,65.86724853515625 +1983,11,1,MVA,15-17 yrs,4,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,15.715239524841309 +1983,11,1,suicide,15-17 yrs,2,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,7.857619762420654 +1983,11,1,homicide,15-17 yrs,7,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,27.50166893005371 +1983,11,1,other external,15-17 yrs,5,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,19.64405059814453 +1983,11,1,internal,15-17 yrs,9,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,35.359291076660156 +1983,11,1,all,18-20 yrs,58,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,171.7500762939453 +1983,11,1,MVA,18-20 yrs,10,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,29.61208152770996 +1983,11,1,suicide,18-20 yrs,2,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,5.9224162101745605 +1983,11,1,homicide,18-20 yrs,17,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,50.340538024902344 +1983,11,1,other external,18-20 yrs,7,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,20.728456497192383 +1983,11,1,internal,18-20 yrs,22,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,65.1465835571289 +1983,11,1,all,21-24 yrs,92,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,155.2847442626953 +1983,11,1,MVA,21-24 yrs,11,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,18.566654205322266 +1983,11,1,suicide,21-24 yrs,14,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,23.630287170410156 +1983,11,1,homicide,21-24 yrs,30,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,50.636329650878906 +1983,11,1,other external,21-24 yrs,14,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,23.630287170410156 +1983,11,1,internal,21-24 yrs,23,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,38.82118606567383 +1984,11,1,MVA,15-17 yrs,4,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,16.271406173706055 +1984,11,1,suicide,15-17 yrs,2,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,8.135703086853027 +1984,11,1,homicide,15-17 yrs,6,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,24.4071102142334 +1984,11,1,other external,15-17 yrs,1,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,4.067851543426514 +1984,11,1,internal,15-17 yrs,17,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,69.15348052978516 +1984,11,1,all,18-20 yrs,62,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,185.64541625976562 +1984,11,1,MVA,18-20 yrs,17,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,50.902774810791016 +1984,11,1,suicide,18-20 yrs,5,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,14.971405029296875 +1984,11,1,homicide,18-20 yrs,19,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,56.89133834838867 +1984,11,1,other external,18-20 yrs,12,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,35.93136978149414 +1984,11,1,internal,18-20 yrs,9,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,26.948528289794922 +1984,11,1,all,21-24 yrs,100,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,173.283203125 +1984,11,1,MVA,21-24 yrs,10,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,17.328319549560547 +1984,11,1,suicide,21-24 yrs,13,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,22.52681541442871 +1984,11,1,homicide,21-24 yrs,31,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,53.71779251098633 +1984,11,1,other external,21-24 yrs,12,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,20.793983459472656 +1984,11,1,internal,21-24 yrs,34,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,58.91628646850586 +1985,11,1,MVA,15-17 yrs,3,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,12.134940147399902 +1985,11,1,suicide,15-17 yrs,1,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,4.044980049133301 +1985,11,1,homicide,15-17 yrs,4,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,16.179920196533203 +1985,11,1,other external,15-17 yrs,1,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,4.044980049133301 +1985,11,1,internal,15-17 yrs,9,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.404823303222656 +1985,11,1,all,18-20 yrs,44,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,134.64303588867188 +1985,11,1,MVA,18-20 yrs,12,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.720829010009766 +1985,11,1,suicide,18-20 yrs,3,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,9.180207252502441 +1985,11,1,homicide,18-20 yrs,14,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,42.84096908569336 +1985,11,1,other external,18-20 yrs,5,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,15.300345420837402 +1985,11,1,internal,18-20 yrs,10,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,30.600690841674805 +1985,11,1,all,21-24 yrs,93,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,167.47100830078125 +1985,11,1,MVA,21-24 yrs,14,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,25.210689544677734 +1985,11,1,suicide,21-24 yrs,7,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,12.605344772338867 +1985,11,1,homicide,21-24 yrs,20,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.0152702331543 +1985,11,1,other external,21-24 yrs,15,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,27.01145362854004 +1985,11,1,internal,21-24 yrs,37,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,66.62825012207031 +1986,11,0.9906046390533447,MVA,15-17 yrs,2,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,7.8118896484375 +1986,11,0.9906046390533447,suicide,15-17 yrs,2,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,7.8118896484375 +1986,11,0.9906046390533447,homicide,15-17 yrs,8,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,31.24755859375 +1986,11,0.9906046390533447,other external,15-17 yrs,4,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,15.623779296875 +1986,11,0.9906046390533447,internal,15-17 yrs,19,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,74.21295166015625 +1986,11,0.9906046390533447,all,18-20 yrs,48,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,147.52435302734375 +1986,11,0.9906046390533447,MVA,18-20 yrs,7,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,21.51396942138672 +1986,11,0.9906046390533447,suicide,18-20 yrs,6,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,18.44054412841797 +1986,11,0.9906046390533447,homicide,18-20 yrs,13,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,39.95451354980469 +1986,11,0.9906046390533447,other external,18-20 yrs,6,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,18.44054412841797 +1986,11,0.9906046390533447,internal,18-20 yrs,16,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,49.17478561401367 +1986,11,0.9906046390533447,all,21-24 yrs,105,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,199.75648498535156 +1986,11,0.9906046390533447,MVA,21-24 yrs,9,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,17.121984481811523 +1986,11,0.9906046390533447,suicide,21-24 yrs,10,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,19.02442741394043 +1986,11,0.9906046390533447,homicide,21-24 yrs,28,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,53.26839828491211 +1986,11,0.9906046390533447,other external,21-24 yrs,10,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,19.02442741394043 +1986,11,0.9906046390533447,internal,21-24 yrs,48,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,91.31725311279297 +1987,11,0.773251473903656,MVA,15-17 yrs,6,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,23.668638229370117 +1987,11,0.773251473903656,suicide,15-17 yrs,2,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,7.8895463943481445 +1987,11,0.773251473903656,homicide,15-17 yrs,12,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,47.337276458740234 +1987,11,0.773251473903656,other external,15-17 yrs,2,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,7.8895463943481445 +1987,11,0.773251473903656,internal,15-17 yrs,14,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,55.22682571411133 +1987,11,0.773251473903656,all,18-20 yrs,61,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,187.04197692871094 +1987,11,0.773251473903656,MVA,18-20 yrs,11,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,33.7288818359375 +1987,11,0.773251473903656,suicide,18-20 yrs,2,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,6.132524013519287 +1987,11,0.773251473903656,homicide,18-20 yrs,22,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,67.457763671875 +1987,11,0.773251473903656,other external,18-20 yrs,2,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,6.132524013519287 +1987,11,0.773251473903656,internal,18-20 yrs,24,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,73.59028625488281 +1987,11,0.773251473903656,all,21-24 yrs,128,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,253.8020782470703 +1987,11,0.773251473903656,MVA,21-24 yrs,13,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,25.77677345275879 +1987,11,0.773251473903656,suicide,21-24 yrs,8,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,15.862629890441895 +1987,11,0.773251473903656,homicide,21-24 yrs,41,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,81.29597473144531 +1987,11,0.773251473903656,other external,21-24 yrs,14,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,27.759601593017578 +1987,11,0.773251473903656,internal,21-24 yrs,52,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,103.10709381103516 +1988,11,0.42791441082954407,MVA,15-17 yrs,10,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,42.188751220703125 +1988,11,0.42791441082954407,suicide,15-17 yrs,0,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,0 +1988,11,0.42791441082954407,homicide,15-17 yrs,18,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,75.93975067138672 +1988,11,0.42791441082954407,other external,15-17 yrs,3,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,12.656625747680664 +1988,11,0.42791441082954407,internal,15-17 yrs,13,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,54.84537887573242 +1988,11,0.42791441082954407,all,18-20 yrs,80,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,239.09860229492188 +1988,11,0.42791441082954407,MVA,18-20 yrs,11,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,32.87605667114258 +1988,11,0.42791441082954407,suicide,18-20 yrs,2,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,5.9774651527404785 +1988,11,0.42791441082954407,homicide,18-20 yrs,42,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,125.52676391601562 +1988,11,0.42791441082954407,other external,18-20 yrs,5,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,14.943662643432617 +1988,11,0.42791441082954407,internal,18-20 yrs,20,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,59.77465057373047 +1988,11,0.42791441082954407,all,21-24 yrs,150,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,303.0609130859375 +1988,11,0.42791441082954407,MVA,21-24 yrs,13,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,26.26527976989746 +1988,11,0.42791441082954407,suicide,21-24 yrs,6,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,12.1224365234375 +1988,11,0.42791441082954407,homicide,21-24 yrs,84,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,169.714111328125 +1988,11,0.42791441082954407,other external,21-24 yrs,7,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,14.142842292785645 +1988,11,0.42791441082954407,internal,21-24 yrs,40,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,80.81624603271484 +1989,11,0.09417500346899033,MVA,15-17 yrs,5,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,23.40714454650879 +1989,11,0.09417500346899033,suicide,15-17 yrs,2,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,9.362857818603516 +1989,11,0.09417500346899033,homicide,15-17 yrs,33,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,154.48715209960938 +1989,11,0.09417500346899033,other external,15-17 yrs,3,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,14.044286727905273 +1989,11,0.09417500346899033,internal,15-17 yrs,6,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,28.088573455810547 +1989,11,0.09417500346899033,all,18-20 yrs,100,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,284.55169677734375 +1989,11,0.09417500346899033,MVA,18-20 yrs,12,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,34.146202087402344 +1989,11,0.09417500346899033,suicide,18-20 yrs,2,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,5.691033840179443 +1989,11,0.09417500346899033,homicide,18-20 yrs,70,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,199.18618774414062 +1989,11,0.09417500346899033,other external,18-20 yrs,6,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,17.073101043701172 +1989,11,0.09417500346899033,internal,18-20 yrs,10,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,28.455169677734375 +1989,11,0.09417500346899033,all,21-24 yrs,148,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,306.4880065917969 +1989,11,0.09417500346899033,MVA,21-24 yrs,12,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,24.850379943847656 +1989,11,0.09417500346899033,suicide,21-24 yrs,5,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,10.354325294494629 +1989,11,0.09417500346899033,homicide,21-24 yrs,72,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,149.10227966308594 +1989,11,0.09417500346899033,other external,21-24 yrs,9,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,18.637784957885742 +1989,11,0.09417500346899033,internal,21-24 yrs,50,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,103.54325103759766 +1990,11,0,MVA,15-17 yrs,6,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,33.43177032470703 +1990,11,0,suicide,15-17 yrs,1,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,5.571961879730225 +1990,11,0,homicide,15-17 yrs,30,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,167.1588592529297 +1990,11,0,other external,15-17 yrs,3,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,16.715885162353516 +1990,11,0,internal,15-17 yrs,10,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,55.71961975097656 +1990,11,0,all,18-20 yrs,116,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,332.36871337890625 +1990,11,0,MVA,18-20 yrs,9,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,25.787227630615234 +1990,11,0,suicide,18-20 yrs,2,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,5.730494976043701 +1990,11,0,homicide,18-20 yrs,83,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,237.81553649902344 +1990,11,0,other external,18-20 yrs,5,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,14.326236724853516 +1990,11,0,internal,18-20 yrs,17,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,48.709205627441406 +1990,11,0,all,21-24 yrs,145,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,302.8088073730469 +1990,11,0,MVA,21-24 yrs,9,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,18.79503059387207 +1990,11,0,suicide,21-24 yrs,3,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,6.265009880065918 +1990,11,0,homicide,21-24 yrs,85,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,177.5086212158203 +1990,11,0,other external,21-24 yrs,6,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,12.530019760131836 +1990,11,0,internal,21-24 yrs,42,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,87.71013641357422 +1991,11,0,MVA,15-17 yrs,7,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,42.66731643676758 +1991,11,0,suicide,15-17 yrs,4,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.381324768066406 +1991,11,0,homicide,15-17 yrs,36,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,219.43191528320312 +1991,11,0,other external,15-17 yrs,4,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.381324768066406 +1991,11,0,internal,15-17 yrs,8,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,48.76264953613281 +1991,11,0,all,18-20 yrs,118,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,407.1773681640625 +1991,11,0,MVA,18-20 yrs,9,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,31.05590057373047 +1991,11,0,suicide,18-20 yrs,0,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,0 +1991,11,0,homicide,18-20 yrs,87,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,300.20703125 +1991,11,0,other external,18-20 yrs,7,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.15458869934082 +1991,11,0,internal,18-20 yrs,15,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,51.75983428955078 +1991,11,0,all,21-24 yrs,163,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,346.21185302734375 +1991,11,0,MVA,21-24 yrs,13,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,27.611988067626953 +1991,11,0,suicide,21-24 yrs,5,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,10.6199951171875 +1991,11,0,homicide,21-24 yrs,97,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,206.0279083251953 +1991,11,0,other external,21-24 yrs,6,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,12.74399471282959 +1991,11,0,internal,21-24 yrs,42,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,89.20796203613281 +1992,11,0,MVA,15-17 yrs,4,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,25.395212173461914 +1992,11,0,suicide,15-17 yrs,1,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,6.3488030433654785 +1992,11,0,homicide,15-17 yrs,32,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,203.1616973876953 +1992,11,0,other external,15-17 yrs,2,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,12.697606086730957 +1992,11,0,internal,15-17 yrs,11,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,69.83683776855469 +1992,11,0,all,18-20 yrs,102,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,447.27032470703125 +1992,11,0,MVA,18-20 yrs,7,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,30.695022583007812 +1992,11,0,suicide,18-20 yrs,3,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,13.155010223388672 +1992,11,0,homicide,18-20 yrs,68,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,298.18023681640625 +1992,11,0,other external,18-20 yrs,5,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,21.925016403198242 +1992,11,0,internal,18-20 yrs,19,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,83.3150634765625 +1992,11,0,all,21-24 yrs,137,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,289.89801025390625 +1992,11,0,MVA,21-24 yrs,7,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,14.812307357788086 +1992,11,0,suicide,21-24 yrs,5,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,10.580219268798828 +1992,11,0,homicide,21-24 yrs,79,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,167.16746520996094 +1992,11,0,other external,21-24 yrs,6,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,12.696263313293457 +1992,11,0,internal,21-24 yrs,40,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,84.641754150390625 +1993,11,0,MVA,15-17 yrs,3,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,19.51092529296875 +1993,11,0,suicide,15-17 yrs,0,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,0 +1993,11,0,homicide,15-17 yrs,49,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,318.678466796875 +1993,11,0,other external,15-17 yrs,3,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,19.51092529296875 +1993,11,0,internal,15-17 yrs,10,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,65.03642272949219 +1993,11,0,all,18-20 yrs,118,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,623.02008056640625 +1993,11,0,MVA,18-20 yrs,5,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,26.399154663085938 +1993,11,0,suicide,18-20 yrs,2,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,10.559661865234375 +1993,11,0,homicide,18-20 yrs,90,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,475.1847839355469 +1993,11,0,other external,18-20 yrs,4,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,21.11932373046875 +1993,11,0,internal,18-20 yrs,17,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,89.75712585449219 +1993,11,0,all,21-24 yrs,139,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,305.8709716796875 +1993,11,0,MVA,21-24 yrs,13,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,28.60663604736328 +1993,11,0,suicide,21-24 yrs,3,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,6.601531505584717 +1993,11,0,homicide,21-24 yrs,89,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,195.84544372558594 +1993,11,0,other external,21-24 yrs,2,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,4.4010210037231445 +1993,11,0,internal,21-24 yrs,32,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,70.41633605957031 +1994,11,0,MVA,15-17 yrs,7,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,45.487037658691406 +1994,11,0,suicide,15-17 yrs,2,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,12.996295928955078 +1994,11,0,homicide,15-17 yrs,31,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,201.44259643554688 +1994,11,0,other external,15-17 yrs,1,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,6.498147964477539 +1994,11,0,internal,15-17 yrs,13,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,84.475921630859375 +1994,11,0,all,18-20 yrs,103,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,594.13934326171875 +1994,11,0,MVA,18-20 yrs,12,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,69.220123291015625 +1994,11,0,suicide,18-20 yrs,0,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,0 +1994,11,0,homicide,18-20 yrs,77,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,444.1624450683594 +1994,11,0,other external,18-20 yrs,2,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,11.536686897277832 +1994,11,0,internal,18-20 yrs,12,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,69.220123291015625 +1994,11,0,all,21-24 yrs,146,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,355.57720947265625 +1994,11,0,MVA,21-24 yrs,15,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,36.53190612792969 +1994,11,0,suicide,21-24 yrs,7,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,17.048221588134766 +1994,11,0,homicide,21-24 yrs,81,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,197.27227783203125 +1994,11,0,other external,21-24 yrs,4,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,9.741841316223145 +1994,11,0,internal,21-24 yrs,39,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,94.98294830322266 +1995,11,0,MVA,15-17 yrs,4,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,25.92520523071289 +1995,11,0,suicide,15-17 yrs,1,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,6.481301307678223 +1995,11,0,homicide,15-17 yrs,37,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,239.8081512451172 +1995,11,0,other external,15-17 yrs,0,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,0 +1995,11,0,internal,15-17 yrs,13,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,84.25691986083984 +1995,11,0,all,18-20 yrs,95,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,565.07257080078125 +1995,11,0,MVA,18-20 yrs,6,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,35.68879318237305 +1995,11,0,suicide,18-20 yrs,3,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,17.844396591186523 +1995,11,0,homicide,18-20 yrs,71,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,422.3173828125 +1995,11,0,other external,18-20 yrs,0,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,0 +1995,11,0,internal,18-20 yrs,15,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,89.22198486328125 +1995,11,0,all,21-24 yrs,125,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,356.50115966796875 +1995,11,0,MVA,21-24 yrs,10,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,28.520092010498047 +1995,11,0,suicide,21-24 yrs,2,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,5.704018592834473 +1995,11,0,homicide,21-24 yrs,82,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,233.86476135253906 +1995,11,0,other external,21-24 yrs,3,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,8.55602741241455 +1995,11,0,internal,21-24 yrs,28,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,79.85626220703125 +1996,11,0,MVA,15-17 yrs,4,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,26.62584114074707 +1996,11,0,suicide,15-17 yrs,1,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,6.656460285186768 +1996,11,0,homicide,15-17 yrs,29,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,193.03733825683594 +1996,11,0,other external,15-17 yrs,2,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,13.312920570373535 +1996,11,0,internal,15-17 yrs,11,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,73.22106170654297 +1996,11,0,all,18-20 yrs,82,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,492.49249267578125 +1996,11,0,MVA,18-20 yrs,2,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,12.012012481689453 +1996,11,0,suicide,18-20 yrs,2,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,12.012012481689453 +1996,11,0,homicide,18-20 yrs,65,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,390.390380859375 +1996,11,0,other external,18-20 yrs,0,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,0 +1996,11,0,internal,18-20 yrs,13,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,78.07807922363281 +1996,11,0,all,21-24 yrs,130,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,445.9538269042969 +1996,11,0,MVA,21-24 yrs,8,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,27.44331169128418 +1996,11,0,suicide,21-24 yrs,1,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,3.4304139614105225 +1996,11,0,homicide,21-24 yrs,77,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,264.1418762207031 +1996,11,0,other external,21-24 yrs,4,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,13.72165584564209 +1996,11,0,internal,21-24 yrs,40,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,137.21656799316406 +1970,12,0,MVA,15-17 yrs,150,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,41.71939468383789 +1970,12,0,suicide,15-17 yrs,19,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,5.284456729888916 +1970,12,0,homicide,15-17 yrs,36,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,10.012655258178711 +1970,12,0,other external,15-17 yrs,98,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,27.256671905517578 +1970,12,0,internal,15-17 yrs,105,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,29.203577041625977 +1970,12,0,all,18-20 yrs,493,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,152.31280517578125 +1970,12,0,MVA,18-20 yrs,180,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,55.611167907714844 +1970,12,0,suicide,18-20 yrs,36,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,11.122233390808105 +1970,12,0,homicide,18-20 yrs,56,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,17.301252365112305 +1970,12,0,other external,18-20 yrs,113,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,34.91145324707031 +1970,12,0,internal,18-20 yrs,108,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,33.36669921875 +1970,12,0,all,21-24 yrs,670,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,171.30731201171875 +1970,12,0,MVA,21-24 yrs,210,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,53.69333267211914 +1970,12,0,suicide,21-24 yrs,57,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,14.573904991149902 +1970,12,0,homicide,21-24 yrs,105,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,26.84666633605957 +1970,12,0,other external,21-24 yrs,133,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,34.00577926635742 +1970,12,0,internal,21-24 yrs,165,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,42.187618255615234 +1971,12,0,MVA,15-17 yrs,180,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,46.575294494628906 +1971,12,0,suicide,15-17 yrs,14,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,3.6225228309631348 +1971,12,0,homicide,15-17 yrs,29,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,7.5037970542907715 +1971,12,0,other external,15-17 yrs,105,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,27.168920516967773 +1971,12,0,internal,15-17 yrs,107,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,27.686424255371094 +1971,12,0,all,18-20 yrs,510,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,147.436767578125 +1971,12,0,MVA,18-20 yrs,214,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,61.865623474121094 +1971,12,0,suicide,18-20 yrs,34,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,9.829117774963379 +1971,12,0,homicide,18-20 yrs,52,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,15.032768249511719 +1971,12,0,other external,18-20 yrs,82,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,23.70551872253418 +1971,12,0,internal,18-20 yrs,128,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,37.00373840332031 +1971,12,0,all,21-24 yrs,720,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,166.44320678710938 +1971,12,0,MVA,21-24 yrs,230,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,53.16935729980469 +1971,12,0,suicide,21-24 yrs,67,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,15.48846435546875 +1971,12,0,homicide,21-24 yrs,104,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,24.04179573059082 +1971,12,0,other external,21-24 yrs,139,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,32.13278579711914 +1971,12,0,internal,21-24 yrs,180,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,41.610801696777344 +1972,12,0,MVA,15-17 yrs,198,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,48.26325225830078 +1972,12,0,suicide,15-17 yrs,32,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,7.800121784210205 +1972,12,0,homicide,15-17 yrs,30,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,7.312614440917969 +1972,12,0,other external,15-17 yrs,102,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,24.86288833618164 +1972,12,0,internal,15-17 yrs,120,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,29.250457763671875 +1972,12,0,all,18-20 yrs,638,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,172.00845336914062 +1972,12,0,MVA,18-20 yrs,254,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,68.4798583984375 +1972,12,0,suicide,18-20 yrs,46,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,12.401863098144531 +1972,12,0,homicide,18-20 yrs,68,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,18.333189010620117 +1972,12,0,other external,18-20 yrs,144,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,38.82322311401367 +1972,12,0,internal,18-20 yrs,126,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,33.97032165527344 +1972,12,0,all,21-24 yrs,796,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,176.58712768554688 +1972,12,0,MVA,21-24 yrs,262,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,58.12289810180664 +1972,12,0,suicide,21-24 yrs,66,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,14.641645431518555 +1972,12,0,homicide,21-24 yrs,114,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,25.290115356445312 +1972,12,0,other external,21-24 yrs,180,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,39.9317626953125 +1972,12,0,internal,21-24 yrs,174,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,38.600704193115234 +1973,12,0.5041095614433289,MVA,15-17 yrs,236,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,54.13800048828125 +1973,12,0.5041095614433289,suicide,15-17 yrs,17,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,3.899771213531494 +1973,12,0.5041095614433289,homicide,15-17 yrs,58,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,13.305102348327637 +1973,12,0.5041095614433289,other external,15-17 yrs,126,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,28.90418815612793 +1973,12,0.5041095614433289,internal,15-17 yrs,111,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,25.463212966918945 +1973,12,0.5041095614433289,all,18-20 yrs,672,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,169.4432373046875 +1973,12,0.5041095614433289,MVA,18-20 yrs,262,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,66.06269073486328 +1973,12,0.5041095614433289,suicide,18-20 yrs,57,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,14.372417449951172 +1973,12,0.5041095614433289,homicide,18-20 yrs,93,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,23.44973373413086 +1973,12,0.5041095614433289,other external,18-20 yrs,143,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,36.0571174621582 +1973,12,0.5041095614433289,internal,18-20 yrs,117,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,29.501277923583984 +1973,12,0.5041095614433289,all,21-24 yrs,849,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,177.54931640625 +1973,12,0.5041095614433289,MVA,21-24 yrs,270,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,56.464447021484375 +1973,12,0.5041095614433289,suicide,21-24 yrs,92,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,19.23973846435547 +1973,12,0.5041095614433289,homicide,21-24 yrs,140,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,29.277860641479492 +1973,12,0.5041095614433289,other external,21-24 yrs,171,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,35.76081848144531 +1973,12,0.5041095614433289,internal,21-24 yrs,176,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,36.806453704833984 +1974,12,1,MVA,15-17 yrs,180,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,39.323463439941406 +1974,12,1,suicide,15-17 yrs,21,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,4.587737083435059 +1974,12,1,homicide,15-17 yrs,46,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,10.049328804016113 +1974,12,1,other external,15-17 yrs,98,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,21.409440994262695 +1974,12,1,internal,15-17 yrs,111,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,24.249467849731445 +1974,12,1,all,18-20 yrs,688,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,161.28048706054688 +1974,12,1,MVA,18-20 yrs,261,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,61.183441162109375 +1974,12,1,suicide,18-20 yrs,67,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,15.706094741821289 +1974,12,1,homicide,18-20 yrs,98,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,22.973093032836914 +1974,12,1,other external,18-20 yrs,122,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,28.599157333374023 +1974,12,1,internal,18-20 yrs,140,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,32.81870651245117 +1974,12,1,all,21-24 yrs,842,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,164.88821411132812 +1974,12,1,MVA,21-24 yrs,216,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,42.29911422729492 +1974,12,1,suicide,21-24 yrs,110,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,21.541215896606445 +1974,12,1,homicide,21-24 yrs,165,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,32.31182098388672 +1974,12,1,other external,21-24 yrs,161,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,31.528505325317383 +1974,12,1,internal,21-24 yrs,190,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,37.20755386352539 +1975,12,1,MVA,15-17 yrs,166,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,35.680355072021484 +1975,12,1,suicide,15-17 yrs,30,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,6.448256969451904 +1975,12,1,homicide,15-17 yrs,38,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,8.167792320251465 +1975,12,1,other external,15-17 yrs,113,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,24.288434982299805 +1975,12,1,internal,15-17 yrs,113,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,24.288434982299805 +1975,12,1,all,18-20 yrs,630,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,142.01983642578125 +1975,12,1,MVA,18-20 yrs,204,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,45.98737716674805 +1975,12,1,suicide,18-20 yrs,71,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,16.00541114807129 +1975,12,1,homicide,18-20 yrs,95,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,21.41568946838379 +1975,12,1,other external,18-20 yrs,122,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,27.502254486083984 +1975,12,1,internal,18-20 yrs,138,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,31.109107971191406 +1975,12,1,all,21-24 yrs,831,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,155.38577270507812 +1975,12,1,MVA,21-24 yrs,218,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,40.76305389404297 +1975,12,1,suicide,21-24 yrs,120,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,22.438379287719727 +1975,12,1,homicide,21-24 yrs,148,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,27.673999786376953 +1975,12,1,other external,21-24 yrs,159,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,29.730852127075195 +1975,12,1,internal,21-24 yrs,186,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,34.77948760986328 +1976,12,1,MVA,15-17 yrs,163,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.81462860107422 +1976,12,1,suicide,15-17 yrs,16,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,3.417386770248413 +1976,12,1,homicide,15-17 yrs,34,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,7.261947154998779 +1976,12,1,other external,15-17 yrs,67,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,14.310307502746582 +1976,12,1,internal,15-17 yrs,109,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,23.280946731567383 +1976,12,1,all,18-20 yrs,550,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,121.31077575683594 +1976,12,1,MVA,18-20 yrs,223,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,49.186004638671875 +1976,12,1,suicide,18-20 yrs,55,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,12.131077766418457 +1976,12,1,homicide,18-20 yrs,68,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,14.998422622680664 +1976,12,1,other external,18-20 yrs,97,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,21.39480972290039 +1976,12,1,internal,18-20 yrs,107,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,23.600460052490234 +1976,12,1,all,21-24 yrs,752,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,136.0111083984375 +1976,12,1,MVA,21-24 yrs,193,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.907108306884766 +1976,12,1,suicide,21-24 yrs,113,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,20.43783950805664 +1976,12,1,homicide,21-24 yrs,113,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,20.43783950805664 +1976,12,1,other external,21-24 yrs,142,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,25.68294906616211 +1976,12,1,internal,21-24 yrs,191,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.54537582397461 +1977,12,1,MVA,15-17 yrs,172,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,36.6216926574707 +1977,12,1,suicide,15-17 yrs,25,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,5.322920322418213 +1977,12,1,homicide,15-17 yrs,32,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,6.813337802886963 +1977,12,1,other external,15-17 yrs,80,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,17.033344268798828 +1977,12,1,internal,15-17 yrs,91,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,19.375429153442383 +1977,12,1,all,18-20 yrs,598,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,129.7757110595703 +1977,12,1,MVA,18-20 yrs,253,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,54.90510940551758 +1977,12,1,suicide,18-20 yrs,67,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,14.540088653564453 +1977,12,1,homicide,18-20 yrs,60,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,13.020974159240723 +1977,12,1,other external,18-20 yrs,104,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,22.56968879699707 +1977,12,1,internal,18-20 yrs,114,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,24.739850997924805 +1977,12,1,all,21-24 yrs,787,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,137.54100036621094 +1977,12,1,MVA,21-24 yrs,238,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,41.594356536865234 +1977,12,1,suicide,21-24 yrs,154,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,26.91399574279785 +1977,12,1,homicide,21-24 yrs,95,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,16.6027889251709 +1977,12,1,other external,21-24 yrs,141,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,24.64203453063965 +1977,12,1,internal,21-24 yrs,159,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,27.787826538085938 +1978,12,1,MVA,15-17 yrs,182,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,38.62798309326172 +1978,12,1,suicide,15-17 yrs,28,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,5.942767143249512 +1978,12,1,homicide,15-17 yrs,40,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,8.489666938781738 +1978,12,1,other external,15-17 yrs,75,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,15.918126106262207 +1978,12,1,internal,15-17 yrs,87,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,18.465024948120117 +1978,12,1,all,18-20 yrs,622,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,133.67115783691406 +1978,12,1,MVA,18-20 yrs,262,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,56.30521774291992 +1978,12,1,suicide,18-20 yrs,66,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,14.183756828308105 +1978,12,1,homicide,18-20 yrs,78,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,16.762622833251953 +1978,12,1,other external,18-20 yrs,107,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,22.9948787689209 +1978,12,1,internal,18-20 yrs,109,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,23.42469024658203 +1978,12,1,all,21-24 yrs,848,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,142.4779052734375 +1978,12,1,MVA,21-24 yrs,269,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,45.1964111328125 +1978,12,1,suicide,21-24 yrs,118,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,19.82593536376953 +1978,12,1,homicide,21-24 yrs,120,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,20.161968231201172 +1978,12,1,other external,21-24 yrs,160,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,26.88262367248535 +1978,12,1,internal,21-24 yrs,181,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,30.410968780517578 +1979,12,1,MVA,15-17 yrs,208,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,43.904178619384766 +1979,12,1,suicide,15-17 yrs,25,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,5.276944637298584 +1979,12,1,homicide,15-17 yrs,37,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,7.809877872467041 +1979,12,1,other external,15-17 yrs,69,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,14.564367294311523 +1979,12,1,internal,15-17 yrs,89,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,18.78592300415039 +1979,12,1,all,18-20 yrs,741,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,155.44334411621094 +1979,12,1,MVA,18-20 yrs,348,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,73.0017318725586 +1979,12,1,suicide,18-20 yrs,71,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,14.89403247833252 +1979,12,1,homicide,18-20 yrs,106,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.236160278320312 +1979,12,1,other external,18-20 yrs,108,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.655710220336914 +1979,12,1,internal,18-20 yrs,108,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.655710220336914 +1979,12,1,all,21-24 yrs,939,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,151.4389190673828 +1979,12,1,MVA,21-24 yrs,316,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,50.96346664428711 +1979,12,1,suicide,21-24 yrs,131,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,21.127260208129883 +1979,12,1,homicide,21-24 yrs,157,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,25.320457458496094 +1979,12,1,other external,21-24 yrs,162,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,26.126840591430664 +1979,12,1,internal,21-24 yrs,173,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,27.90088653564453 +1980,12,0.9191416501998901,MVA,15-17 yrs,222,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,46.004642486572266 +1980,12,0.9191416501998901,suicide,15-17 yrs,35,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,7.252984046936035 +1980,12,0.9191416501998901,homicide,15-17 yrs,53,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,10.9830904006958 +1980,12,0.9191416501998901,other external,15-17 yrs,66,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,13.677055358886719 +1980,12,0.9191416501998901,internal,15-17 yrs,89,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,18.443302154541016 +1980,12,0.9191416501998901,all,18-20 yrs,805,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,161.54083251953125 +1980,12,0.9191416501998901,MVA,18-20 yrs,348,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,69.83380126953125 +1980,12,0.9191416501998901,suicide,18-20 yrs,84,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,16.856435775756836 +1980,12,0.9191416501998901,homicide,18-20 yrs,113,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,22.675918579101562 +1980,12,0.9191416501998901,other external,18-20 yrs,142,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,28.495403289794922 +1980,12,0.9191416501998901,internal,18-20 yrs,118,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,23.679277420043945 +1980,12,0.9191416501998901,all,21-24 yrs,1163,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,177.89674377441406 +1980,12,0.9191416501998901,MVA,21-24 yrs,395,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,60.420650482177734 +1980,12,0.9191416501998901,suicide,21-24 yrs,148,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,22.63862419128418 +1980,12,0.9191416501998901,homicide,21-24 yrs,226,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,34.56978988647461 +1980,12,0.9191416501998901,other external,21-24 yrs,193,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,29.521987915039062 +1980,12,0.9191416501998901,internal,21-24 yrs,201,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,30.745697021484375 +1981,12,0.6752321124076843,MVA,15-17 yrs,202,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,42.48499298095703 +1981,12,0.6752321124076843,suicide,15-17 yrs,28,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,5.88900899887085 +1981,12,0.6752321124076843,homicide,15-17 yrs,42,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,8.833513259887695 +1981,12,0.6752321124076843,other external,15-17 yrs,60,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,12.619304656982422 +1981,12,0.6752321124076843,internal,15-17 yrs,98,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,20.61153221130371 +1981,12,0.6752321124076843,all,18-20 yrs,758,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,147.6376953125 +1981,12,0.6752321124076843,MVA,18-20 yrs,320,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,62.3272590637207 +1981,12,0.6752321124076843,suicide,18-20 yrs,90,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,17.529542922973633 +1981,12,0.6752321124076843,homicide,18-20 yrs,134,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,26.09954071044922 +1981,12,0.6752321124076843,other external,18-20 yrs,110,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,21.42499542236328 +1981,12,0.6752321124076843,internal,18-20 yrs,104,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,20.256359100341797 +1981,12,0.6752321124076843,all,21-24 yrs,1182,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,173.7251739501953 +1981,12,0.6752321124076843,MVA,21-24 yrs,412,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,60.553951263427734 +1981,12,0.6752321124076843,suicide,21-24 yrs,136,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,19.988683700561523 +1981,12,0.6752321124076843,homicide,21-24 yrs,210,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,30.864877700805664 +1981,12,0.6752321124076843,other external,21-24 yrs,180,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,26.455610275268555 +1981,12,0.6752321124076843,internal,21-24 yrs,244,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,35.8620491027832 +1982,12,0.6758331656455994,MVA,15-17 yrs,174,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,37.818687438964844 +1982,12,0.6758331656455994,suicide,15-17 yrs,28,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,6.085765838623047 +1982,12,0.6758331656455994,homicide,15-17 yrs,30,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,6.520463466644287 +1982,12,0.6758331656455994,other external,15-17 yrs,52,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,11.302136421203613 +1982,12,0.6758331656455994,internal,15-17 yrs,98,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,21.300180435180664 +1982,12,0.6758331656455994,all,18-20 yrs,694,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,133.6365509033203 +1982,12,0.6758331656455994,MVA,18-20 yrs,274,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,52.76140594482422 +1982,12,0.6758331656455994,suicide,18-20 yrs,80,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,15.404789924621582 +1982,12,0.6758331656455994,homicide,18-20 yrs,124,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.877424240112305 +1982,12,0.6758331656455994,other external,18-20 yrs,98,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,18.870866775512695 +1982,12,0.6758331656455994,internal,18-20 yrs,118,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,22.722064971923828 +1982,12,0.6758331656455994,all,21-24 yrs,974,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,140.0366973876953 +1982,12,0.6758331656455994,MVA,21-24 yrs,302,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,43.42000198364258 +1982,12,0.6758331656455994,suicide,21-24 yrs,162,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.291522979736328 +1982,12,0.6758331656455994,homicide,21-24 yrs,208,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,29.905166625976562 +1982,12,0.6758331656455994,other external,21-24 yrs,142,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,20.416027069091797 +1982,12,0.6758331656455994,internal,21-24 yrs,160,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.00397300720215 +1983,12,0.6855270862579346,MVA,15-17 yrs,139,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,31.175006866455078 +1983,12,0.6855270862579346,suicide,15-17 yrs,19,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,4.261331558227539 +1983,12,0.6855270862579346,homicide,15-17 yrs,34,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,7.6255412101745605 +1983,12,0.6855270862579346,other external,15-17 yrs,61,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,13.68111801147461 +1983,12,0.6855270862579346,internal,15-17 yrs,83,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,18.615291595458984 +1983,12,0.6855270862579346,all,18-20 yrs,606,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,115.91320037841797 +1983,12,0.6855270862579346,MVA,18-20 yrs,279,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,53.3659782409668 +1983,12,0.6855270862579346,suicide,18-20 yrs,69,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,13.198037147521973 +1983,12,0.6855270862579346,homicide,18-20 yrs,85,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,16.258451461791992 +1983,12,0.6855270862579346,other external,18-20 yrs,65,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,12.432933807373047 +1983,12,0.6855270862579346,internal,18-20 yrs,108,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,20.657798767089844 +1983,12,0.6855270862579346,all,21-24 yrs,944,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,132.65972900390625 +1983,12,0.6855270862579346,MVA,21-24 yrs,330,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,46.37469482421875 +1983,12,0.6855270862579346,suicide,21-24 yrs,118,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,16.58246612548828 +1983,12,0.6855270862579346,homicide,21-24 yrs,165,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,23.187347412109375 +1983,12,0.6855270862579346,other external,21-24 yrs,151,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,21.21993637084961 +1983,12,0.6855270862579346,internal,21-24 yrs,180,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,25.2952880859375 +1984,12,0.6951020956039429,MVA,15-17 yrs,163,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,36.62411117553711 +1984,12,0.6951020956039429,suicide,15-17 yrs,24,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,5.392507076263428 +1984,12,0.6951020956039429,homicide,15-17 yrs,32,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,7.190009593963623 +1984,12,0.6951020956039429,other external,15-17 yrs,47,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,10.56032657623291 +1984,12,0.6951020956039429,internal,15-17 yrs,64,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,14.380019187927246 +1984,12,0.6951020956039429,all,18-20 yrs,608,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,118.58647918701172 +1984,12,0.6951020956039429,MVA,18-20 yrs,271,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,52.85680389404297 +1984,12,0.6951020956039429,suicide,18-20 yrs,85,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.578702926635742 +1984,12,0.6951020956039429,homicide,18-20 yrs,85,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.578702926635742 +1984,12,0.6951020956039429,other external,18-20 yrs,61,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,11.897656440734863 +1984,12,0.6951020956039429,internal,18-20 yrs,106,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,20.67461585998535 +1984,12,0.6951020956039429,all,21-24 yrs,1009,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,138.64002990722656 +1984,12,0.6951020956039429,MVA,21-24 yrs,355,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,48.7782096862793 +1984,12,0.6951020956039429,suicide,21-24 yrs,147,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,20.198301315307617 +1984,12,0.6951020956039429,homicide,21-24 yrs,170,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,23.358579635620117 +1984,12,0.6951020956039429,other external,21-24 yrs,118,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.21360206604004 +1984,12,0.6951020956039429,internal,21-24 yrs,219,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,30.091344833374023 +1985,12,0.6483528017997742,MVA,15-17 yrs,149,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,32.769866943359375 +1985,12,0.6483528017997742,suicide,15-17 yrs,39,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,8.577347755432129 +1985,12,0.6483528017997742,homicide,15-17 yrs,36,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,7.9175519943237305 +1985,12,0.6483528017997742,other external,15-17 yrs,38,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,8.357416152954102 +1985,12,0.6483528017997742,internal,15-17 yrs,80,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,17.594560623168945 +1985,12,0.6483528017997742,all,18-20 yrs,573,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,115.22266387939453 +1985,12,0.6483528017997742,MVA,18-20 yrs,262,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,52.68470764160156 +1985,12,0.6483528017997742,suicide,18-20 yrs,62,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,12.467373847961426 +1985,12,0.6483528017997742,homicide,18-20 yrs,81,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,16.288021087646484 +1985,12,0.6483528017997742,other external,18-20 yrs,57,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,11.46194076538086 +1985,12,0.6483528017997742,internal,18-20 yrs,111,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,22.320621490478516 +1985,12,0.6483528017997742,all,21-24 yrs,999,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,134.61669921875 +1985,12,0.6483528017997742,MVA,21-24 yrs,357,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,48.10626983642578 +1985,12,0.6483528017997742,suicide,21-24 yrs,137,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,18.460948944091797 +1985,12,0.6483528017997742,homicide,21-24 yrs,160,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,21.56023406982422 +1985,12,0.6483528017997742,other external,21-24 yrs,118,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,15.90067195892334 +1985,12,0.6483528017997742,internal,21-24 yrs,227,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,30.588581085205078 +1986,12,0.346679151058197,MVA,15-17 yrs,174,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,36.637210845947266 +1986,12,0.346679151058197,suicide,15-17 yrs,48,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,10.106816291809082 +1986,12,0.346679151058197,homicide,15-17 yrs,45,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,9.475140571594238 +1986,12,0.346679151058197,other external,15-17 yrs,51,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,10.738492012023926 +1986,12,0.346679151058197,internal,15-17 yrs,79,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,16.634136199951172 +1986,12,0.346679151058197,all,18-20 yrs,606,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,125.41313171386719 +1986,12,0.346679151058197,MVA,18-20 yrs,273,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,56.49799346923828 +1986,12,0.346679151058197,suicide,18-20 yrs,56,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,11.58933162689209 +1986,12,0.346679151058197,homicide,18-20 yrs,95,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,19.66047477722168 +1986,12,0.346679151058197,other external,18-20 yrs,62,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,12.831046104431152 +1986,12,0.346679151058197,internal,18-20 yrs,120,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,24.83428382873535 +1986,12,0.346679151058197,all,21-24 yrs,1044,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,139.79197692871094 +1986,12,0.346679151058197,MVA,21-24 yrs,362,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,48.471927642822266 +1986,12,0.346679151058197,suicide,21-24 yrs,129,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,17.27314567565918 +1986,12,0.346679151058197,homicide,21-24 yrs,183,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,24.503765106201172 +1986,12,0.346679151058197,other external,21-24 yrs,130,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,17.407047271728516 +1986,12,0.346679151058197,internal,21-24 yrs,240,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,32.136085510253906 +1987,12,0.0424189418554306,MVA,15-17 yrs,168,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,34.841400146484375 +1987,12,0.0424189418554306,suicide,15-17 yrs,35,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,7.258625030517578 +1987,12,0.0424189418554306,homicide,15-17 yrs,54,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.199021339416504 +1987,12,0.0424189418554306,other external,15-17 yrs,55,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.406410217285156 +1987,12,0.0424189418554306,internal,15-17 yrs,68,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,14.102471351623535 +1987,12,0.0424189418554306,all,18-20 yrs,588,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,121.46878051757812 +1987,12,0.0424189418554306,MVA,18-20 yrs,235,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,48.54619598388672 +1987,12,0.0424189418554306,suicide,18-20 yrs,58,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.981614112854004 +1987,12,0.0424189418554306,homicide,18-20 yrs,117,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,24.169809341430664 +1987,12,0.0424189418554306,other external,18-20 yrs,69,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,14.253989219665527 +1987,12,0.0424189418554306,internal,18-20 yrs,109,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,22.51717185974121 +1987,12,0.0424189418554306,all,21-24 yrs,1016,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,136.94955444335938 +1987,12,0.0424189418554306,MVA,21-24 yrs,338,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,45.55998992919922 +1987,12,0.0424189418554306,suicide,21-24 yrs,132,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,17.792659759521484 +1987,12,0.0424189418554306,homicide,21-24 yrs,207,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,27.902124404907227 +1987,12,0.0424189418554306,other external,21-24 yrs,114,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,15.366387367248535 +1987,12,0.0424189418554306,internal,21-24 yrs,225,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,30.32839584350586 +1988,12,0,MVA,15-17 yrs,194,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,40.74996566772461 +1988,12,0,suicide,15-17 yrs,51,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,10.712620735168457 +1988,12,0,homicide,15-17 yrs,74,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,15.543802261352539 +1988,12,0,other external,15-17 yrs,47,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,9.872414588928223 +1988,12,0,internal,15-17 yrs,93,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,19.534778594970703 +1988,12,0,all,18-20 yrs,661,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,133.97354125976562 +1988,12,0,MVA,18-20 yrs,286,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,57.96737289428711 +1988,12,0,suicide,18-20 yrs,69,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,13.985135078430176 +1988,12,0,homicide,18-20 yrs,148,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,29.997100830078125 +1988,12,0,other external,18-20 yrs,56,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,11.350255012512207 +1988,12,0,internal,18-20 yrs,102,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,20.673677444458008 +1988,12,0,all,21-24 yrs,1067,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,147.16896057128906 +1988,12,0,MVA,21-24 yrs,381,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,52.55049133300781 +1988,12,0,suicide,21-24 yrs,112,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,15.44791316986084 +1988,12,0,homicide,21-24 yrs,221,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,30.482044219970703 +1988,12,0,other external,21-24 yrs,100,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,13.792779922485352 +1988,12,0,internal,21-24 yrs,253,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,34.89573287963867 +1989,12,0,MVA,15-17 yrs,134,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,29.250808715820312 +1989,12,0,suicide,15-17 yrs,39,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,8.51329517364502 +1989,12,0,homicide,15-17 yrs,53,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,11.56934928894043 +1989,12,0,other external,15-17 yrs,58,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.660797119140625 +1989,12,0,internal,15-17 yrs,78,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,17.02659034729004 +1989,12,0,all,18-20 yrs,634,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,122.99765014648438 +1989,12,0,MVA,18-20 yrs,237,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,45.97861862182617 +1989,12,0,suicide,18-20 yrs,78,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,15.132203102111816 +1989,12,0,homicide,18-20 yrs,133,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,25.80234718322754 +1989,12,0,other external,18-20 yrs,66,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.804171562194824 +1989,12,0,internal,18-20 yrs,120,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,23.280311584472656 +1989,12,0,all,21-24 yrs,979,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,138.3878631591797 +1989,12,0,MVA,21-24 yrs,345,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,48.76793670654297 +1989,12,0,suicide,21-24 yrs,121,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,17.10411834716797 +1989,12,0,homicide,21-24 yrs,201,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,28.41262435913086 +1989,12,0,other external,21-24 yrs,88,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.43935775756836 +1989,12,0,internal,21-24 yrs,224,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,31.663820266723633 +1990,12,0,MVA,15-17 yrs,138,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,29.732921600341797 +1990,12,0,suicide,15-17 yrs,40,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,8.618237495422363 +1990,12,0,homicide,15-17 yrs,56,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,12.065532684326172 +1990,12,0,other external,15-17 yrs,41,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,8.833693504333496 +1990,12,0,internal,15-17 yrs,74,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,15.943739891052246 +1990,12,0,all,18-20 yrs,609,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,117.04605865478516 +1990,12,0,MVA,18-20 yrs,231,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,44.39678192138672 +1990,12,0,suicide,18-20 yrs,71,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,13.645763397216797 +1990,12,0,homicide,18-20 yrs,144,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,27.675914764404297 +1990,12,0,other external,18-20 yrs,55,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,10.570661544799805 +1990,12,0,internal,18-20 yrs,108,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,20.75693702697754 +1990,12,0,all,21-24 yrs,895,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,129.4267120361328 +1990,12,0,MVA,21-24 yrs,278,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,40.201820373535156 +1990,12,0,suicide,21-24 yrs,104,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,15.039529800415039 +1990,12,0,homicide,21-24 yrs,216,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,31.235944747924805 +1990,12,0,other external,21-24 yrs,84,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,12.14731216430664 +1990,12,0,internal,21-24 yrs,213,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,30.802112579345703 +1991,12,0,MVA,15-17 yrs,112,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,24.29206085205078 +1991,12,0,suicide,15-17 yrs,43,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.326416015625 +1991,12,0,homicide,15-17 yrs,66,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,14.314964294433594 +1991,12,0,other external,15-17 yrs,45,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.760202407836914 +1991,12,0,internal,15-17 yrs,73,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,15.83321762084961 +1991,12,0,all,18-20 yrs,550,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,107.6746597290039 +1991,12,0,MVA,18-20 yrs,210,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,41.11214065551758 +1991,12,0,suicide,18-20 yrs,65,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,12.725187301635742 +1991,12,0,homicide,18-20 yrs,117,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,22.905336380004883 +1991,12,0,other external,18-20 yrs,48,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.397061347961426 +1991,12,0,internal,18-20 yrs,110,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,21.534931182861328 +1991,12,0,all,21-24 yrs,859,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,124.41305541992188 +1991,12,0,MVA,21-24 yrs,268,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,38.81571578979492 +1991,12,0,suicide,21-24 yrs,125,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,18.104345321655273 +1991,12,0,homicide,21-24 yrs,150,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,21.7252140045166 +1991,12,0,other external,21-24 yrs,76,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,11.007441520690918 +1991,12,0,internal,21-24 yrs,240,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,34.76034164428711 +1992,12,0,MVA,15-17 yrs,113,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,24.046594619750977 +1992,12,0,suicide,15-17 yrs,40,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,8.512068748474121 +1992,12,0,homicide,15-17 yrs,54,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,11.491292953491211 +1992,12,0,other external,15-17 yrs,32,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,6.80965518951416 +1992,12,0,internal,15-17 yrs,66,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,14.044914245605469 +1992,12,0,all,18-20 yrs,494,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,100.14271545410156 +1992,12,0,MVA,18-20 yrs,181,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,36.69196701049805 +1992,12,0,suicide,18-20 yrs,58,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,11.757646560668945 +1992,12,0,homicide,18-20 yrs,127,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,25.74519157409668 +1992,12,0,other external,18-20 yrs,40,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,8.108721733093262 +1992,12,0,internal,18-20 yrs,88,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,17.839187622070312 +1992,12,0,all,21-24 yrs,721,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,103.48297119140625 +1992,12,0,MVA,21-24 yrs,183,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,26.26544189453125 +1992,12,0,suicide,21-24 yrs,86,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,12.34332275390625 +1992,12,0,homicide,21-24 yrs,173,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,24.830171585083008 +1992,12,0,other external,21-24 yrs,70,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,10.046890258789062 +1992,12,0,internal,21-24 yrs,209,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,29.99714469909668 +1993,12,0,MVA,15-17 yrs,106,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,22.071516036987305 +1993,12,0,suicide,15-17 yrs,52,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,10.827535629272461 +1993,12,0,homicide,15-17 yrs,57,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,11.868645668029785 +1993,12,0,other external,15-17 yrs,44,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,9.161761283874512 +1993,12,0,internal,15-17 yrs,86,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,17.907079696655273 +1993,12,0,all,18-20 yrs,527,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,108.67974090576172 +1993,12,0,MVA,18-20 yrs,195,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,40.213565826416016 +1993,12,0,suicide,18-20 yrs,64,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,13.198298454284668 +1993,12,0,homicide,18-20 yrs,117,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,24.12813949584961 +1993,12,0,other external,18-20 yrs,51,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,10.517394065856934 +1993,12,0,internal,18-20 yrs,100,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,20.62234115600586 +1993,12,0,all,21-24 yrs,846,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,121.61707305908203 +1993,12,0,MVA,21-24 yrs,258,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,37.08889389038086 +1993,12,0,suicide,21-24 yrs,129,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,18.54444694519043 +1993,12,0,homicide,21-24 yrs,163,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,23.432130813598633 +1993,12,0,other external,21-24 yrs,77,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,11.06916618347168 +1993,12,0,internal,21-24 yrs,219,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,31.48243522644043 +1994,12,0,MVA,15-17 yrs,150,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,30.103435516357422 +1994,12,0,suicide,15-17 yrs,40,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,8.027583122253418 +1994,12,0,homicide,15-17 yrs,67,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,13.44620132446289 +1994,12,0,other external,15-17 yrs,36,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,7.22482442855835 +1994,12,0,internal,15-17 yrs,66,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,13.245512008666992 +1994,12,0,all,18-20 yrs,551,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,113.9981918334961 +1994,12,0,MVA,18-20 yrs,205,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,42.41312026977539 +1994,12,0,suicide,18-20 yrs,68,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,14.068742752075195 +1994,12,0,homicide,18-20 yrs,115,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,23.792726516723633 +1994,12,0,other external,18-20 yrs,44,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,9.103303909301758 +1994,12,0,internal,18-20 yrs,119,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,24.620298385620117 +1994,12,0,all,21-24 yrs,873,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,126.26025390625 +1994,12,0,MVA,21-24 yrs,254,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,36.73551559448242 +1994,12,0,suicide,21-24 yrs,104,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,15.041313171386719 +1994,12,0,homicide,21-24 yrs,190,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,27.47932243347168 +1994,12,0,other external,21-24 yrs,67,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,9.69007682800293 +1994,12,0,internal,21-24 yrs,258,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,37.31402587890625 +1995,12,0,MVA,15-17 yrs,129,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,24.97454071044922 +1995,12,0,suicide,15-17 yrs,30,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,5.808032989501953 +1995,12,0,homicide,15-17 yrs,55,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,10.648059844970703 +1995,12,0,other external,15-17 yrs,36,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,6.969639301300049 +1995,12,0,internal,15-17 yrs,77,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,14.9072847366333 +1995,12,0,all,18-20 yrs,551,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,111.927490234375 +1995,12,0,MVA,18-20 yrs,216,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,43.877201080322266 +1995,12,0,suicide,18-20 yrs,69,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,14.016327857971191 +1995,12,0,homicide,18-20 yrs,93,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,18.891572952270508 +1995,12,0,other external,18-20 yrs,65,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,13.203786849975586 +1995,12,0,internal,18-20 yrs,108,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,21.938600540161133 +1995,12,0,all,21-24 yrs,880,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,129.7028350830078 +1995,12,0,MVA,21-24 yrs,251,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,36.99478530883789 +1995,12,0,suicide,21-24 yrs,127,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,18.718477249145508 +1995,12,0,homicide,21-24 yrs,158,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,23.287553787231445 +1995,12,0,other external,21-24 yrs,71,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,10.46466064453125 +1995,12,0,internal,21-24 yrs,273,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,40.23735427856445 +1996,12,0,MVA,15-17 yrs,134,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,25.019838333129883 +1996,12,0,suicide,15-17 yrs,35,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,6.535032272338867 +1996,12,0,homicide,15-17 yrs,47,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,8.775614738464355 +1996,12,0,other external,15-17 yrs,35,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,6.535032272338867 +1996,12,0,internal,15-17 yrs,78,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,14.563786506652832 +1996,12,0,all,18-20 yrs,502,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,100.08293914794922 +1996,12,0,MVA,18-20 yrs,172,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.29136657714844 +1996,12,0,suicide,18-20 yrs,58,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,11.563366889953613 +1996,12,0,homicide,18-20 yrs,112,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,22.329261779785156 +1996,12,0,other external,18-20 yrs,61,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,12.16147232055664 +1996,12,0,internal,18-20 yrs,99,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,19.737472534179688 +1996,12,0,all,21-24 yrs,821,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,123.01431274414062 +1996,12,0,MVA,21-24 yrs,230,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.46198654174805 +1996,12,0,suicide,21-24 yrs,127,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,19.029010772705078 +1996,12,0,homicide,21-24 yrs,142,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,21.276531219482422 +1996,12,0,other external,21-24 yrs,90,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,13.485125541687012 +1996,12,0,internal,21-24 yrs,232,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.76165771484375 +1970,13,0,MVA,15-17 yrs,133,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,48.96276092529297 +1970,13,0,suicide,15-17 yrs,10,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,3.681410789489746 +1970,13,0,homicide,15-17 yrs,29,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,10.676091194152832 +1970,13,0,other external,15-17 yrs,70,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,25.769874572753906 +1970,13,0,internal,15-17 yrs,92,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,33.868980407714844 +1970,13,0,all,18-20 yrs,458,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,176.06784057617188 +1970,13,0,MVA,18-20 yrs,200,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,76.8855209350586 +1970,13,0,suicide,18-20 yrs,17,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,6.535269260406494 +1970,13,0,homicide,18-20 yrs,63,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,24.21893882751465 +1970,13,0,other external,18-20 yrs,66,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,25.372222900390625 +1970,13,0,internal,18-20 yrs,112,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,43.05589294433594 +1970,13,0,all,21-24 yrs,598,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,182.12939453125 +1970,13,0,MVA,21-24 yrs,216,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,65.7858657836914 +1970,13,0,suicide,21-24 yrs,36,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,10.964311599731445 +1970,13,0,homicide,21-24 yrs,112,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,34.11119079589844 +1970,13,0,other external,21-24 yrs,88,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,26.80164909362793 +1970,13,0,internal,21-24 yrs,146,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,44.466373443603516 +1971,13,0,MVA,15-17 yrs,134,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,47.253814697265625 +1971,13,0,suicide,15-17 yrs,12,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,4.231684684753418 +1971,13,0,homicide,15-17 yrs,30,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,10.579212188720703 +1971,13,0,other external,15-17 yrs,67,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,23.626907348632812 +1971,13,0,internal,15-17 yrs,79,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,27.858591079711914 +1971,13,0,all,18-20 yrs,471,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,174.7162322998047 +1971,13,0,MVA,18-20 yrs,215,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,79.753692626953125 +1971,13,0,suicide,18-20 yrs,24,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,8.902737617492676 +1971,13,0,homicide,18-20 yrs,67,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,24.85347557067871 +1971,13,0,other external,18-20 yrs,66,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,24.482528686523438 +1971,13,0,internal,18-20 yrs,99,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,36.723793029785156 +1971,13,0,all,21-24 yrs,657,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,188.7047119140625 +1971,13,0,MVA,21-24 yrs,257,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,73.81600189208984 +1971,13,0,suicide,21-24 yrs,44,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,12.6377592086792 +1971,13,0,homicide,21-24 yrs,118,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,33.89216995239258 +1971,13,0,other external,21-24 yrs,94,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,26.99884796142578 +1971,13,0,internal,21-24 yrs,144,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,41.35993957519531 +1972,13,0.5041095614433289,MVA,15-17 yrs,154,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,52.55936813354492 +1972,13,0.5041095614433289,suicide,15-17 yrs,18,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,6.143302917480469 +1972,13,0.5041095614433289,homicide,15-17 yrs,24,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,8.191070556640625 +1972,13,0.5041095614433289,other external,15-17 yrs,68,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,23.208032608032227 +1972,13,0.5041095614433289,internal,15-17 yrs,48,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,16.38214111328125 +1972,13,0.5041095614433289,all,18-20 yrs,538,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,191.9974822998047 +1972,13,0.5041095614433289,MVA,18-20 yrs,238,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,84.9356918334961 +1972,13,0.5041095614433289,suicide,18-20 yrs,26,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,9.27868938446045 +1972,13,0.5041095614433289,homicide,18-20 yrs,72,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,25.69483184814453 +1972,13,0.5041095614433289,other external,18-20 yrs,96,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,34.25977325439453 +1972,13,0.5041095614433289,internal,18-20 yrs,106,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,37.8285026550293 +1972,13,0.5041095614433289,all,21-24 yrs,658,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,193.50778198242188 +1972,13,0.5041095614433289,MVA,21-24 yrs,234,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,68.81584167480469 +1972,13,0.5041095614433289,suicide,21-24 yrs,58,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,17.056917190551758 +1972,13,0.5041095614433289,homicide,21-24 yrs,136,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,39.99552917480469 +1972,13,0.5041095614433289,other external,21-24 yrs,70,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,20.585933685302734 +1972,13,0.5041095614433289,internal,21-24 yrs,160,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,47.053565979003906 +1973,13,1,MVA,15-17 yrs,146,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,48.6802978515625 +1973,13,1,suicide,15-17 yrs,8,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,2.6674134731292725 +1973,13,1,homicide,15-17 yrs,38,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,12.670214653015137 +1973,13,1,other external,15-17 yrs,74,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,24.673574447631836 +1973,13,1,internal,15-17 yrs,64,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,21.33930778503418 +1973,13,1,all,18-20 yrs,450,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,154.26544189453125 +1973,13,1,MVA,18-20 yrs,164,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,56.22118377685547 +1973,13,1,suicide,18-20 yrs,38,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,13.026859283447266 +1973,13,1,homicide,18-20 yrs,76,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,26.05371856689453 +1973,13,1,other external,18-20 yrs,87,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,29.82465171813965 +1973,13,1,internal,18-20 yrs,85,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,29.139026641845703 +1973,13,1,all,21-24 yrs,624,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,181.0390625 +1973,13,1,MVA,21-24 yrs,218,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,63.24761962890625 +1973,13,1,suicide,21-24 yrs,55,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,15.956968307495117 +1973,13,1,homicide,21-24 yrs,127,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,36.846092224121094 +1973,13,1,other external,21-24 yrs,93,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,26.981782913208008 +1973,13,1,internal,21-24 yrs,131,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,38.006595611572266 +1974,13,1,MVA,15-17 yrs,142,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,46.47068405151367 +1974,13,1,suicide,15-17 yrs,22,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,7.19968318939209 +1974,13,1,homicide,15-17 yrs,30,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,9.817749977111816 +1974,13,1,other external,15-17 yrs,80,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,26.180665969848633 +1974,13,1,internal,15-17 yrs,79,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,25.853408813476562 +1974,13,1,all,18-20 yrs,482,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,160.65220642089844 +1974,13,1,MVA,18-20 yrs,193,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,64.327545166015625 +1974,13,1,suicide,18-20 yrs,40,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,13.332133293151855 +1974,13,1,homicide,18-20 yrs,69,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,22.9979305267334 +1974,13,1,other external,18-20 yrs,76,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,25.331052780151367 +1974,13,1,internal,18-20 yrs,104,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,34.66354751586914 +1974,13,1,all,21-24 yrs,601,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,170.40074157714844 +1974,13,1,MVA,21-24 yrs,181,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,51.31869125366211 +1974,13,1,suicide,21-24 yrs,56,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,15.877606391906738 +1974,13,1,homicide,21-24 yrs,129,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,36.575199127197266 +1974,13,1,other external,21-24 yrs,95,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,26.935224533081055 +1974,13,1,internal,21-24 yrs,140,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,39.69401550292969 +1975,13,1,MVA,15-17 yrs,96,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,31.267913818359375 +1975,13,1,suicide,15-17 yrs,20,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,6.514148712158203 +1975,13,1,homicide,15-17 yrs,23,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,7.491271018981934 +1975,13,1,other external,15-17 yrs,73,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,23.776643753051758 +1975,13,1,internal,15-17 yrs,66,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,21.49669075012207 +1975,13,1,all,18-20 yrs,400,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,130.31777954101562 +1975,13,1,MVA,18-20 yrs,167,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,54.40767288208008 +1975,13,1,suicide,18-20 yrs,28,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,9.122244834899902 +1975,13,1,homicide,18-20 yrs,51,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,16.615516662597656 +1975,13,1,other external,18-20 yrs,64,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,20.850845336914062 +1975,13,1,internal,18-20 yrs,90,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,29.321500778198242 +1975,13,1,all,21-24 yrs,559,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,153.8397979736328 +1975,13,1,MVA,21-24 yrs,157,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,43.207244873046875 +1975,13,1,suicide,21-24 yrs,83,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,22.8420467376709 +1975,13,1,homicide,21-24 yrs,104,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,28.62135887145996 +1975,13,1,other external,21-24 yrs,81,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,22.291635513305664 +1975,13,1,internal,21-24 yrs,134,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,36.87752151489258 +1976,13,1,MVA,15-17 yrs,100,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,32.32950210571289 +1976,13,1,suicide,15-17 yrs,19,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,6.142605304718018 +1976,13,1,homicide,15-17 yrs,23,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,7.435785293579102 +1976,13,1,other external,15-17 yrs,63,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,20.367586135864258 +1976,13,1,internal,15-17 yrs,57,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,18.42781639099121 +1976,13,1,all,18-20 yrs,395,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,125.9373550415039 +1976,13,1,MVA,18-20 yrs,165,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,52.60674285888672 +1976,13,1,suicide,18-20 yrs,27,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,8.608376502990723 +1976,13,1,homicide,18-20 yrs,57,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,18.17323875427246 +1976,13,1,other external,18-20 yrs,67,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,21.361526489257812 +1976,13,1,internal,18-20 yrs,79,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,25.187471389770508 +1976,13,1,all,21-24 yrs,492,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,130.1304931640625 +1976,13,1,MVA,21-24 yrs,149,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,39.40943908691406 +1976,13,1,suicide,21-24 yrs,65,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,17.19203758239746 +1976,13,1,homicide,21-24 yrs,88,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,23.275373458862305 +1976,13,1,other external,21-24 yrs,80,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,21.15943145751953 +1976,13,1,internal,21-24 yrs,110,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,29.09421730041504 +1977,13,1,MVA,15-17 yrs,146,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,46.85569381713867 +1977,13,1,suicide,15-17 yrs,33,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,10.590670585632324 +1977,13,1,homicide,15-17 yrs,13,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,4.172082424163818 +1977,13,1,other external,15-17 yrs,67,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,21.502269744873047 +1977,13,1,internal,15-17 yrs,74,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,23.748777389526367 +1977,13,1,all,18-20 yrs,431,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,135.65061950683594 +1977,13,1,MVA,18-20 yrs,189,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,59.48484420776367 +1977,13,1,suicide,18-20 yrs,34,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,10.700977325439453 +1977,13,1,homicide,18-20 yrs,49,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,15.421996116638184 +1977,13,1,other external,18-20 yrs,72,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,22.660892486572266 +1977,13,1,internal,18-20 yrs,87,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,27.381912231445312 +1977,13,1,all,21-24 yrs,536,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,137.43589782714844 +1977,13,1,MVA,21-24 yrs,163,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,41.79487228393555 +1977,13,1,suicide,21-24 yrs,68,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,17.435897827148438 +1977,13,1,homicide,21-24 yrs,79,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,20.256410598754883 +1977,13,1,other external,21-24 yrs,96,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,24.615385055541992 +1977,13,1,internal,21-24 yrs,130,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,33.33333206176758 +1978,13,1,MVA,15-17 yrs,113,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,36.1138916015625 +1978,13,1,suicide,15-17 yrs,16,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,5.113471031188965 +1978,13,1,homicide,15-17 yrs,15,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,4.79387903213501 +1978,13,1,other external,15-17 yrs,50,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,15.979597091674805 +1978,13,1,internal,15-17 yrs,71,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,22.691028594970703 +1978,13,1,all,18-20 yrs,411,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,129.06143188476562 +1978,13,1,MVA,18-20 yrs,188,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,59.035400390625 +1978,13,1,suicide,18-20 yrs,33,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,10.36259651184082 +1978,13,1,homicide,18-20 yrs,36,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,11.304651260375977 +1978,13,1,other external,18-20 yrs,62,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,19.4691219329834 +1978,13,1,internal,18-20 yrs,92,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,28.889663696289062 +1978,13,1,all,21-24 yrs,598,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,149.9013671875 +1978,13,1,MVA,21-24 yrs,213,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,53.39295959472656 +1978,13,1,suicide,21-24 yrs,68,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,17.045639038085938 +1978,13,1,homicide,21-24 yrs,87,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,21.808391571044922 +1978,13,1,other external,21-24 yrs,93,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,23.312419891357422 +1978,13,1,internal,21-24 yrs,137,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,34.341949462890625 +1979,13,1,MVA,15-17 yrs,159,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,50.3417854309082 +1979,13,1,suicide,15-17 yrs,17,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,5.382454872131348 +1979,13,1,homicide,15-17 yrs,24,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,7.59876012802124 +1979,13,1,other external,15-17 yrs,47,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,14.880905151367188 +1979,13,1,internal,15-17 yrs,64,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,20.26336097717285 +1979,13,1,all,18-20 yrs,428,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,132.75721740722656 +1979,13,1,MVA,18-20 yrs,208,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,64.51753234863281 +1979,13,1,suicide,18-20 yrs,35,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,10.856314659118652 +1979,13,1,homicide,18-20 yrs,48,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,14.888660430908203 +1979,13,1,other external,18-20 yrs,68,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,21.092269897460938 +1979,13,1,internal,18-20 yrs,69,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,21.402450561523438 +1979,13,1,all,21-24 yrs,581,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,142.8782196044922 +1979,13,1,MVA,21-24 yrs,205,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,50.413143157958984 +1979,13,1,suicide,21-24 yrs,70,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,17.214242935180664 +1979,13,1,homicide,21-24 yrs,109,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,26.805036544799805 +1979,13,1,other external,21-24 yrs,85,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,20.90300941467285 +1979,13,1,internal,21-24 yrs,112,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,27.542789459228516 +1980,13,0.8915311098098755,MVA,15-17 yrs,136,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,43.35725402832031 +1980,13,0.8915311098098755,suicide,15-17 yrs,14,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,4.463246822357178 +1980,13,0.8915311098098755,homicide,15-17 yrs,20,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,6.3760666847229 +1980,13,0.8915311098098755,other external,15-17 yrs,42,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,13.389739990234375 +1980,13,0.8915311098098755,internal,15-17 yrs,54,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,17.21537971496582 +1980,13,0.8915311098098755,all,18-20 yrs,454,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,140.26718139648438 +1980,13,0.8915311098098755,MVA,18-20 yrs,205,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,63.33650588989258 +1980,13,0.8915311098098755,suicide,18-20 yrs,40,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,12.358342170715332 +1980,13,0.8915311098098755,homicide,18-20 yrs,46,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,14.2120943069458 +1980,13,0.8915311098098755,other external,18-20 yrs,80,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,24.716684341430664 +1980,13,0.8915311098098755,internal,18-20 yrs,83,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,25.6435604095459 +1980,13,0.8915311098098755,all,21-24 yrs,561,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,136.3268585205078 +1980,13,0.8915311098098755,MVA,21-24 yrs,211,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,51.27444839477539 +1980,13,0.8915311098098755,suicide,21-24 yrs,70,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,17.010480880737305 +1980,13,0.8915311098098755,homicide,21-24 yrs,94,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,22.8426456451416 +1980,13,0.8915311098098755,other external,21-24 yrs,84,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,20.41257667541504 +1980,13,0.8915311098098755,internal,21-24 yrs,102,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,24.786701202392578 +1981,13,0.6771506071090698,MVA,15-17 yrs,110,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,36.00584030151367 +1981,13,0.6771506071090698,suicide,15-17 yrs,8,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,2.6186065673828125 +1981,13,0.6771506071090698,homicide,15-17 yrs,22,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,7.201168060302734 +1981,13,0.6771506071090698,other external,15-17 yrs,60,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.639549255371094 +1981,13,0.6771506071090698,internal,15-17 yrs,60,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.639549255371094 +1981,13,0.6771506071090698,all,18-20 yrs,422,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,129.1495361328125 +1981,13,0.6771506071090698,MVA,18-20 yrs,204,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,62.43247985839844 +1981,13,0.6771506071090698,suicide,18-20 yrs,46,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,14.077912330627441 +1981,13,0.6771506071090698,homicide,18-20 yrs,38,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,11.629579544067383 +1981,13,0.6771506071090698,other external,18-20 yrs,56,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,17.138328552246094 +1981,13,0.6771506071090698,internal,18-20 yrs,78,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,23.87124252319336 +1981,13,0.6771506071090698,all,21-24 yrs,536,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,128.75608825683594 +1981,13,0.6771506071090698,MVA,21-24 yrs,166,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,39.875953674316406 +1981,13,0.6771506071090698,suicide,21-24 yrs,72,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,17.29559326171875 +1981,13,0.6771506071090698,homicide,21-24 yrs,92,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,22.099925994873047 +1981,13,0.6771506071090698,other external,21-24 yrs,82,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.6977596282959 +1981,13,0.6771506071090698,internal,21-24 yrs,124,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,29.786855697631836 +1982,13,0.6774499416351318,MVA,15-17 yrs,120,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,40.67658615112305 +1982,13,0.6774499416351318,suicide,15-17 yrs,24,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,8.1353178024292 +1982,13,0.6774499416351318,homicide,15-17 yrs,20,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,6.779431343078613 +1982,13,0.6774499416351318,other external,15-17 yrs,36,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,12.20297622680664 +1982,13,0.6774499416351318,internal,15-17 yrs,42,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.23680591583252 +1982,13,0.6774499416351318,all,18-20 yrs,324,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,99.18964385986328 +1982,13,0.6774499416351318,MVA,18-20 yrs,116,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,35.5123405456543 +1982,13,0.6774499416351318,suicide,18-20 yrs,28,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,8.571944236755371 +1982,13,0.6774499416351318,homicide,18-20 yrs,52,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,15.919325828552246 +1982,13,0.6774499416351318,other external,18-20 yrs,48,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.694762229919434 +1982,13,0.6774499416351318,internal,18-20 yrs,80,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,24.491270065307617 +1982,13,0.6774499416351318,all,21-24 yrs,534,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,126.42913818359375 +1982,13,0.6774499416351318,MVA,21-24 yrs,168,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,39.77545928955078 +1982,13,0.6774499416351318,suicide,21-24 yrs,62,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.679038047790527 +1982,13,0.6774499416351318,homicide,21-24 yrs,80,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,18.94069480895996 +1982,13,0.6774499416351318,other external,21-24 yrs,96,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,22.728832244873047 +1982,13,0.6774499416351318,internal,21-24 yrs,128,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,30.305110931396484 +1983,13,0.6825763583183289,MVA,15-17 yrs,102,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,35.777671813964844 +1983,13,0.6825763583183289,suicide,15-17 yrs,12,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,4.209137916564941 +1983,13,0.6825763583183289,homicide,15-17 yrs,12,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,4.209137916564941 +1983,13,0.6825763583183289,other external,15-17 yrs,29,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.172083854675293 +1983,13,0.6825763583183289,internal,15-17 yrs,66,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,23.150259017944336 +1983,13,0.6825763583183289,all,18-20 yrs,331,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,101.88533782958984 +1983,13,0.6825763583183289,MVA,18-20 yrs,148,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,45.55598449707031 +1983,13,0.6825763583183289,suicide,18-20 yrs,33,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.157752990722656 +1983,13,0.6825763583183289,homicide,18-20 yrs,33,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.157752990722656 +1983,13,0.6825763583183289,other external,18-20 yrs,57,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,17.545209884643555 +1983,13,0.6825763583183289,internal,18-20 yrs,60,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,18.46864128112793 +1983,13,0.6825763583183289,all,21-24 yrs,475,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,110.74842834472656 +1983,13,0.6825763583183289,MVA,21-24 yrs,162,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,37.77104187011719 +1983,13,0.6825763583183289,suicide,21-24 yrs,59,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,13.756120681762695 +1983,13,0.6825763583183289,homicide,21-24 yrs,72,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,16.78713035583496 +1983,13,0.6825763583183289,other external,21-24 yrs,85,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,19.818140029907227 +1983,13,0.6825763583183289,internal,21-24 yrs,97,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,22.61599349975586 +1984,13,0.6906901001930237,MVA,15-17 yrs,117,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,41.19108963012695 +1984,13,0.6906901001930237,suicide,15-17 yrs,18,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,6.337090969085693 +1984,13,0.6906901001930237,homicide,15-17 yrs,14,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,4.928848743438721 +1984,13,0.6906901001930237,other external,15-17 yrs,31,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,10.91387939453125 +1984,13,0.6906901001930237,internal,15-17 yrs,56,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,19.715394973754883 +1984,13,0.6906901001930237,all,18-20 yrs,335,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,104.73528289794922 +1984,13,0.6906901001930237,MVA,18-20 yrs,167,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,52.21132278442383 +1984,13,0.6906901001930237,suicide,18-20 yrs,29,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,9.06663703918457 +1984,13,0.6906901001930237,homicide,18-20 yrs,36,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,11.255135536193848 +1984,13,0.6906901001930237,other external,18-20 yrs,47,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,14.694204330444336 +1984,13,0.6906901001930237,internal,18-20 yrs,56,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,17.50798797607422 +1984,13,0.6906901001930237,all,21-24 yrs,509,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,116.2966079711914 +1984,13,0.6906901001930237,MVA,21-24 yrs,171,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,39.07017517089844 +1984,13,0.6906901001930237,suicide,21-24 yrs,54,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,12.337949752807617 +1984,13,0.6906901001930237,homicide,21-24 yrs,98,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,22.391094207763672 +1984,13,0.6906901001930237,other external,21-24 yrs,72,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,16.450599670410156 +1984,13,0.6906901001930237,internal,21-24 yrs,114,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,26.046783447265625 +1985,13,0.5763688683509827,MVA,15-17 yrs,105,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,36.21101760864258 +1985,13,0.5763688683509827,suicide,15-17 yrs,26,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,8.9665374755859375 +1985,13,0.5763688683509827,homicide,15-17 yrs,12,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,4.138401985168457 +1985,13,0.5763688683509827,other external,15-17 yrs,37,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,12.760072708129883 +1985,13,0.5763688683509827,internal,15-17 yrs,52,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,17.933074951171875 +1985,13,0.5763688683509827,all,18-20 yrs,336,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,107.30332946777344 +1985,13,0.5763688683509827,MVA,18-20 yrs,152,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,48.54198455810547 +1985,13,0.5763688683509827,suicide,18-20 yrs,27,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,8.622589111328125 +1985,13,0.5763688683509827,homicide,18-20 yrs,53,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,16.925823211669922 +1985,13,0.5763688683509827,other external,18-20 yrs,39,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,12.454851150512695 +1985,13,0.5763688683509827,internal,18-20 yrs,65,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,20.758085250854492 +1985,13,0.5763688683509827,all,21-24 yrs,524,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,117.49089813232422 +1985,13,0.5763688683509827,MVA,21-24 yrs,178,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,39.91102981567383 +1985,13,0.5763688683509827,suicide,21-24 yrs,63,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,14.125813484191895 +1985,13,0.5763688683509827,homicide,21-24 yrs,88,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,19.73129653930664 +1985,13,0.5763688683509827,other external,21-24 yrs,61,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,13.677375793457031 +1985,13,0.5763688683509827,internal,21-24 yrs,134,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,30.045381546020508 +1986,13,0.23116761445999146,MVA,15-17 yrs,124,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,41.12387466430664 +1986,13,0.23116761445999146,suicide,15-17 yrs,18,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,5.969594955444336 +1986,13,0.23116761445999146,homicide,15-17 yrs,21,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,6.964527130126953 +1986,13,0.23116761445999146,other external,15-17 yrs,34,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.275901794433594 +1986,13,0.23116761445999146,internal,15-17 yrs,54,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,17.908784866333008 +1986,13,0.23116761445999146,all,18-20 yrs,354,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,115.73582458496094 +1986,13,0.23116761445999146,MVA,18-20 yrs,157,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,51.32916259765625 +1986,13,0.23116761445999146,suicide,18-20 yrs,36,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.769744873046875 +1986,13,0.23116761445999146,homicide,18-20 yrs,52,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,17.000741958618164 +1986,13,0.23116761445999146,other external,18-20 yrs,43,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,14.058305740356445 +1986,13,0.23116761445999146,internal,18-20 yrs,66,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,21.577865600585938 +1986,13,0.23116761445999146,all,21-24 yrs,525,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,117.2712631225586 +1986,13,0.23116761445999146,MVA,21-24 yrs,197,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,44.00464630126953 +1986,13,0.23116761445999146,suicide,21-24 yrs,86,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,19.21014976501465 +1986,13,0.23116761445999146,homicide,21-24 yrs,90,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,20.10364532470703 +1986,13,0.23116761445999146,other external,21-24 yrs,53,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.838813781738281 +1986,13,0.23116761445999146,internal,21-24 yrs,99,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,22.114009857177734 +1987,13,0,MVA,15-17 yrs,113,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,37.12196350097656 +1987,13,0,suicide,15-17 yrs,28,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,9.198362350463867 +1987,13,0,homicide,15-17 yrs,26,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,8.541337013244629 +1987,13,0,other external,15-17 yrs,49,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,16.097135543823242 +1987,13,0,internal,15-17 yrs,57,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,18.725238800048828 +1987,13,0,all,18-20 yrs,341,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,111.32476806640625 +1987,13,0,MVA,18-20 yrs,149,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,48.64337158203125 +1987,13,0,suicide,18-20 yrs,42,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,13.711554527282715 +1987,13,0,homicide,18-20 yrs,46,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,15.017416954040527 +1987,13,0,other external,18-20 yrs,44,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,14.364485740661621 +1987,13,0,internal,18-20 yrs,60,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,19.587934494018555 +1987,13,0,all,21-24 yrs,542,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,122.30815124511719 +1987,13,0,MVA,21-24 yrs,191,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,43.10121154785156 +1987,13,0,suicide,21-24 yrs,64,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,14.442290306091309 +1987,13,0,homicide,21-24 yrs,101,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,22.79174041748047 +1987,13,0,other external,21-24 yrs,62,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,13.990968704223633 +1987,13,0,internal,21-24 yrs,124,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,27.981937408447266 +1988,13,0,MVA,15-17 yrs,130,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,43.32380294799805 +1988,13,0,suicide,15-17 yrs,25,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,8.331500053405762 +1988,13,0,homicide,15-17 yrs,33,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,10.997580528259277 +1988,13,0,other external,15-17 yrs,32,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,10.664320945739746 +1988,13,0,internal,15-17 yrs,59,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,19.66234016418457 +1988,13,0,all,18-20 yrs,399,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,127.80924224853516 +1988,13,0,MVA,18-20 yrs,179,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,57.33797836303711 +1988,13,0,suicide,18-20 yrs,51,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,16.336519241333008 +1988,13,0,homicide,18-20 yrs,55,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,17.617815017700195 +1988,13,0,other external,18-20 yrs,42,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,13.453604698181152 +1988,13,0,internal,18-20 yrs,72,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,23.063322067260742 +1988,13,0,all,21-24 yrs,574,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,132.0645294189453 +1988,13,0,MVA,21-24 yrs,177,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,40.723731994628906 +1988,13,0,suicide,21-24 yrs,70,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,16.105430603027344 +1988,13,0,homicide,21-24 yrs,119,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,27.37923240661621 +1988,13,0,other external,21-24 yrs,58,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,13.344499588012695 +1988,13,0,internal,21-24 yrs,150,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,34.51163864135742 +1989,13,0,MVA,15-17 yrs,111,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,38.58534240722656 +1989,13,0,suicide,15-17 yrs,25,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,8.69039249420166 +1989,13,0,homicide,15-17 yrs,36,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.514164924621582 +1989,13,0,other external,15-17 yrs,25,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,8.69039249420166 +1989,13,0,internal,15-17 yrs,54,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,18.77124786376953 +1989,13,0,all,18-20 yrs,417,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,128.987548828125 +1989,13,0,MVA,18-20 yrs,182,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,56.29672622680664 +1989,13,0,suicide,18-20 yrs,56,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,17.32206916809082 +1989,13,0,homicide,18-20 yrs,59,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,18.250038146972656 +1989,13,0,other external,18-20 yrs,41,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.682229995727539 +1989,13,0,internal,18-20 yrs,79,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,24.436491012573242 +1989,13,0,all,21-24 yrs,567,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,134.22500610351562 +1989,13,0,MVA,21-24 yrs,177,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,41.90092849731445 +1989,13,0,suicide,21-24 yrs,61,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,14.440433502197266 +1989,13,0,homicide,21-24 yrs,118,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,27.93395233154297 +1989,13,0,other external,21-24 yrs,54,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.783334732055664 +1989,13,0,internal,21-24 yrs,157,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,37.16636276245117 +1990,13,0,MVA,15-17 yrs,102,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,36.20731735229492 +1990,13,0,suicide,15-17 yrs,22,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,7.809421539306641 +1990,13,0,homicide,15-17 yrs,24,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,8.519369125366211 +1990,13,0,other external,15-17 yrs,27,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,9.584290504455566 +1990,13,0,internal,15-17 yrs,44,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,15.618843078613281 +1990,13,0,all,18-20 yrs,380,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,116.5840835571289 +1990,13,0,MVA,18-20 yrs,141,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,43.25883102416992 +1990,13,0,suicide,18-20 yrs,61,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,18.714813232421875 +1990,13,0,homicide,18-20 yrs,69,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,21.16921615600586 +1990,13,0,other external,18-20 yrs,47,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,14.419610977172852 +1990,13,0,internal,18-20 yrs,62,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,19.02161407470703 +1990,13,0,all,21-24 yrs,565,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,136.11407470703125 +1990,13,0,MVA,21-24 yrs,165,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,39.75012969970703 +1990,13,0,suicide,21-24 yrs,76,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,18.30915069580078 +1990,13,0,homicide,21-24 yrs,124,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,29.87282371520996 +1990,13,0,other external,21-24 yrs,58,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,13.972772598266602 +1990,13,0,internal,21-24 yrs,142,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,34.20920181274414 +1991,13,0,MVA,15-17 yrs,99,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,35.59537887573242 +1991,13,0,suicide,15-17 yrs,23,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,8.269633293151855 +1991,13,0,homicide,15-17 yrs,37,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,13.303322792053223 +1991,13,0,other external,15-17 yrs,26,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,9.348280906677246 +1991,13,0,internal,15-17 yrs,47,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,16.898815155029297 +1991,13,0,all,18-20 yrs,374,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,117.58454895019531 +1991,13,0,MVA,18-20 yrs,146,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,45.9019889831543 +1991,13,0,suicide,18-20 yrs,47,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,14.776667594909668 +1991,13,0,homicide,18-20 yrs,80,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,25.151775360107422 +1991,13,0,other external,18-20 yrs,35,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,11.003901481628418 +1991,13,0,internal,18-20 yrs,66,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,20.750213623046875 +1991,13,0,all,21-24 yrs,518,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,124.61209106445312 +1991,13,0,MVA,21-24 yrs,141,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,33.91950607299805 +1991,13,0,suicide,21-24 yrs,62,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,14.914960861206055 +1991,13,0,homicide,21-24 yrs,130,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,31.273303985595703 +1991,13,0,other external,21-24 yrs,58,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,13.952705383300781 +1991,13,0,internal,21-24 yrs,127,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,30.551612854003906 +1992,13,0,MVA,15-17 yrs,83,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,29.303356170654297 +1992,13,0,suicide,15-17 yrs,23,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,8.120207786560059 +1992,13,0,homicide,15-17 yrs,46,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,16.240415573120117 +1992,13,0,other external,15-17 yrs,32,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,11.297679901123047 +1992,13,0,internal,15-17 yrs,60,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.183149337768555 +1992,13,0,all,18-20 yrs,331,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,107.9219970703125 +1992,13,0,MVA,18-20 yrs,117,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,38.14765548706055 +1992,13,0,suicide,18-20 yrs,47,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,15.324271202087402 +1992,13,0,homicide,18-20 yrs,67,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.845237731933594 +1992,13,0,other external,18-20 yrs,34,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,11.08564281463623 +1992,13,0,internal,18-20 yrs,66,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.519189834594727 +1992,13,0,all,21-24 yrs,503,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,118.54652404785156 +1992,13,0,MVA,21-24 yrs,132,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,31.109622955322266 +1992,13,0,suicide,21-24 yrs,76,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,17.911602020263672 +1992,13,0,homicide,21-24 yrs,108,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,25.45332908630371 +1992,13,0,other external,21-24 yrs,42,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,9.898516654968262 +1992,13,0,internal,21-24 yrs,145,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,34.1734504699707 +1993,13,0,MVA,15-17 yrs,87,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,29.994932174682617 +1993,13,0,suicide,15-17 yrs,25,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,8.619233131408691 +1993,13,0,homicide,15-17 yrs,43,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,14.825080871582031 +1993,13,0,other external,15-17 yrs,25,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,8.619233131408691 +1993,13,0,internal,15-17 yrs,33,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,11.377388000488281 +1993,13,0,all,18-20 yrs,357,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,118.44017028808594 +1993,13,0,MVA,18-20 yrs,117,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,38.8165283203125 +1993,13,0,suicide,18-20 yrs,44,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,14.597668647766113 +1993,13,0,homicide,18-20 yrs,79,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,26.209449768066406 +1993,13,0,other external,18-20 yrs,47,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,15.592964172363281 +1993,13,0,internal,18-20 yrs,70,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,23.22356414794922 +1993,13,0,all,21-24 yrs,522,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,121.5471420288086 +1993,13,0,MVA,21-24 yrs,146,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,33.99594497680664 +1993,13,0,suicide,21-24 yrs,65,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,15.135180473327637 +1993,13,0,homicide,21-24 yrs,122,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,28.407569885253906 +1993,13,0,other external,21-24 yrs,51,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,11.875295639038086 +1993,13,0,internal,21-24 yrs,138,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,32.13315200805664 +1994,13,0,MVA,15-17 yrs,69,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,22.882308959960938 +1994,13,0,suicide,15-17 yrs,36,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,11.93859577178955 +1994,13,0,homicide,15-17 yrs,49,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,16.249755859375 +1994,13,0,other external,15-17 yrs,28,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.285574913024902 +1994,13,0,internal,15-17 yrs,44,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,14.591617584228516 +1994,13,0,all,18-20 yrs,350,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,116.35677337646484 +1994,13,0,MVA,18-20 yrs,118,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,39.22885513305664 +1994,13,0,suicide,18-20 yrs,52,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,17.287290573120117 +1994,13,0,homicide,18-20 yrs,90,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,29.920312881469727 +1994,13,0,other external,18-20 yrs,29,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.640989303588867 +1994,13,0,internal,18-20 yrs,61,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,20.27932357788086 +1994,13,0,all,21-24 yrs,495,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,114.77888488769531 +1994,13,0,MVA,21-24 yrs,152,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,35.24523162841797 +1994,13,0,suicide,21-24 yrs,68,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,15.767603874206543 +1994,13,0,homicide,21-24 yrs,99,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,22.95577621459961 +1994,13,0,other external,21-24 yrs,39,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.043184280395508 +1994,13,0,internal,21-24 yrs,137,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,31.7670841217041 +1995,13,0,MVA,15-17 yrs,104,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,33.13304901123047 +1995,13,0,suicide,15-17 yrs,32,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,10.194784164428711 +1995,13,0,homicide,15-17 yrs,37,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,11.787718772888184 +1995,13,0,other external,15-17 yrs,31,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,9.87619686126709 +1995,13,0,internal,15-17 yrs,51,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,16.247936248779297 +1995,13,0,all,18-20 yrs,342,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,111.82171630859375 +1995,13,0,MVA,18-20 yrs,109,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,35.63908386230469 +1995,13,0,suicide,18-20 yrs,41,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,13.405527114868164 +1995,13,0,homicide,18-20 yrs,80,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,26.15712547302246 +1995,13,0,other external,18-20 yrs,34,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,11.116778373718262 +1995,13,0,internal,18-20 yrs,78,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,25.503198623657227 +1995,13,0,all,21-24 yrs,487,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,114.56586456298828 +1995,13,0,MVA,21-24 yrs,158,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,37.169212341308594 +1995,13,0,suicide,21-24 yrs,67,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,15.761628150939941 +1995,13,0,homicide,21-24 yrs,80,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,18.819854736328125 +1995,13,0,other external,21-24 yrs,46,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,10.821415901184082 +1995,13,0,internal,21-24 yrs,136,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,31.993751525878906 +1996,13,0,MVA,15-17 yrs,129,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,39.81690216064453 +1996,13,0,suicide,15-17 yrs,30,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.259744644165039 +1996,13,0,homicide,15-17 yrs,37,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,11.4203519821167 +1996,13,0,other external,15-17 yrs,30,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.259744644165039 +1996,13,0,internal,15-17 yrs,54,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,16.66754150390625 +1996,13,0,all,18-20 yrs,396,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,126.75447845458984 +1996,13,0,MVA,18-20 yrs,166,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,53.13445281982422 +1996,13,0,suicide,18-20 yrs,37,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,11.843221664428711 +1996,13,0,homicide,18-20 yrs,70,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,22.40609359741211 +1996,13,0,other external,18-20 yrs,42,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,13.443656921386719 +1996,13,0,internal,18-20 yrs,81,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,25.927051544189453 +1996,13,0,all,21-24 yrs,517,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,124.26002502441406 +1996,13,0,MVA,21-24 yrs,162,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,38.9364128112793 +1996,13,0,suicide,21-24 yrs,72,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,17.305070877075195 +1996,13,0,homicide,21-24 yrs,109,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,26.197956085205078 +1996,13,0,other external,21-24 yrs,38,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.133232116699219 +1996,13,0,internal,21-24 yrs,136,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,32.68735885620117 +1970,15,0,MVA,15-17 yrs,9,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,20.332550048828125 +1970,15,0,suicide,15-17 yrs,2,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.518344402313232 +1970,15,0,homicide,15-17 yrs,2,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.518344402313232 +1970,15,0,other external,15-17 yrs,7,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,15.81420612335205 +1970,15,0,internal,15-17 yrs,16,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,36.14675521850586 +1970,15,0,all,18-20 yrs,48,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,107.94278717041016 +1970,15,0,MVA,18-20 yrs,14,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,31.483314514160156 +1970,15,0,suicide,18-20 yrs,2,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.497616291046143 +1970,15,0,homicide,18-20 yrs,3,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,6.746424198150635 +1970,15,0,other external,18-20 yrs,10,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,22.488080978393555 +1970,15,0,internal,18-20 yrs,19,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,42.72735595703125 +1970,15,0,all,21-24 yrs,70,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,107.70390319824219 +1970,15,0,MVA,21-24 yrs,32,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,49.2360725402832 +1970,15,0,suicide,21-24 yrs,5,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,7.693136215209961 +1970,15,0,homicide,21-24 yrs,3,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.61588191986084 +1970,15,0,other external,21-24 yrs,18,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,27.695289611816406 +1970,15,0,internal,21-24 yrs,12,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,18.46352767944336 +1971,15,0,MVA,15-17 yrs,20,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,42.4980354309082 +1971,15,0,suicide,15-17 yrs,3,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,6.3747053146362305 +1971,15,0,homicide,15-17 yrs,2,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,4.24980354309082 +1971,15,0,other external,15-17 yrs,5,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,10.62450885772705 +1971,15,0,internal,15-17 yrs,6,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.749410629272461 +1971,15,0,all,18-20 yrs,65,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,133.3059844970703 +1971,15,0,MVA,18-20 yrs,19,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,38.966365814208984 +1971,15,0,suicide,18-20 yrs,6,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.305168151855469 +1971,15,0,homicide,18-20 yrs,6,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.305168151855469 +1971,15,0,other external,18-20 yrs,18,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,36.915504455566406 +1971,15,0,internal,18-20 yrs,16,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,32.81378173828125 +1971,15,0,all,21-24 yrs,85,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,132.94960021972656 +1971,15,0,MVA,21-24 yrs,26,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,40.66693878173828 +1971,15,0,suicide,21-24 yrs,10,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,15.641129493713379 +1971,15,0,homicide,21-24 yrs,8,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.512904167175293 +1971,15,0,other external,21-24 yrs,19,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,29.71814727783203 +1971,15,0,internal,21-24 yrs,22,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,34.410484313964844 +1972,15,0.8383561372756958,MVA,15-17 yrs,10,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,20.382789611816406 +1972,15,0.8383561372756958,suicide,15-17 yrs,0,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,0 +1972,15,0.8383561372756958,homicide,15-17 yrs,4,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,8.153115272521973 +1972,15,0.8383561372756958,other external,15-17 yrs,8,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,16.306230545043945 +1972,15,0.8383561372756958,internal,15-17 yrs,6,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.229673385620117 +1972,15,0.8383561372756958,all,18-20 yrs,44,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,83.02983093261719 +1972,15,0.8383561372756958,MVA,18-20 yrs,16,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,30.19266700744629 +1972,15,0.8383561372756958,suicide,18-20 yrs,8,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,15.096333503723145 +1972,15,0.8383561372756958,homicide,18-20 yrs,4,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,7.548166751861572 +1972,15,0.8383561372756958,other external,18-20 yrs,12,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,22.644500732421875 +1972,15,0.8383561372756958,internal,18-20 yrs,4,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,7.548166751861572 +1972,15,0.8383561372756958,all,21-24 yrs,76,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,121.64671325683594 +1972,15,0.8383561372756958,MVA,21-24 yrs,28,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,44.81721115112305 +1972,15,0.8383561372756958,suicide,21-24 yrs,8,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.804917335510254 +1972,15,0.8383561372756958,homicide,21-24 yrs,8,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.804917335510254 +1972,15,0.8383561372756958,other external,21-24 yrs,14,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,22.408605575561523 +1972,15,0.8383561372756958,internal,21-24 yrs,18,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,28.811063766479492 +1973,15,1,MVA,15-17 yrs,5,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,9.975858688354492 +1973,15,1,suicide,15-17 yrs,0,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,0 +1973,15,1,homicide,15-17 yrs,1,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,1.9951716661453247 +1973,15,1,other external,15-17 yrs,7,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,13.966201782226562 +1973,15,1,internal,15-17 yrs,10,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,19.951717376708984 +1973,15,1,all,18-20 yrs,61,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,106.07035064697266 +1973,15,1,MVA,18-20 yrs,20,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,34.777164459228516 +1973,15,1,suicide,18-20 yrs,10,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,17.388582229614258 +1973,15,1,homicide,18-20 yrs,2,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,3.4777164459228516 +1973,15,1,other external,18-20 yrs,13,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,22.60515785217285 +1973,15,1,internal,18-20 yrs,16,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,27.821731567382812 +1973,15,1,all,21-24 yrs,78,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,119.35548400878906 +1973,15,1,MVA,21-24 yrs,19,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,29.07377052307129 +1973,15,1,suicide,21-24 yrs,11,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,16.832183837890625 +1973,15,1,homicide,21-24 yrs,11,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,16.832183837890625 +1973,15,1,other external,21-24 yrs,18,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,27.54357147216797 +1973,15,1,internal,21-24 yrs,19,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,29.07377052307129 +1974,15,1,MVA,15-17 yrs,18,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,35.07883071899414 +1974,15,1,suicide,15-17 yrs,1,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,1.9488239288330078 +1974,15,1,homicide,15-17 yrs,3,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,5.846471786499023 +1974,15,1,other external,15-17 yrs,8,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,15.590591430664062 +1974,15,1,internal,15-17 yrs,14,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,27.28353500366211 +1974,15,1,all,18-20 yrs,50,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,85.4759292602539 +1974,15,1,MVA,18-20 yrs,14,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,23.933259963989258 +1974,15,1,suicide,18-20 yrs,9,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,15.38566780090332 +1974,15,1,homicide,18-20 yrs,4,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,6.838074207305908 +1974,15,1,other external,18-20 yrs,10,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,17.095186233520508 +1974,15,1,internal,18-20 yrs,13,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,22.22374153137207 +1974,15,1,all,21-24 yrs,80,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,118.43955993652344 +1974,15,1,MVA,21-24 yrs,15,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,22.207416534423828 +1974,15,1,suicide,21-24 yrs,14,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,20.7269229888916 +1974,15,1,homicide,21-24 yrs,11,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,16.285438537597656 +1974,15,1,other external,21-24 yrs,21,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,31.090383529663086 +1974,15,1,internal,21-24 yrs,19,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,28.12939453125 +1975,15,1,MVA,15-17 yrs,9,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,17.455730438232422 +1975,15,1,suicide,15-17 yrs,2,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,3.8790512084960938 +1975,15,1,homicide,15-17 yrs,2,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,3.8790512084960938 +1975,15,1,other external,15-17 yrs,3,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,5.818576812744141 +1975,15,1,internal,15-17 yrs,7,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,13.576679229736328 +1975,15,1,all,18-20 yrs,51,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,85.07514953613281 +1975,15,1,MVA,18-20 yrs,20,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,33.3628044128418 +1975,15,1,suicide,18-20 yrs,7,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,11.676980972290039 +1975,15,1,homicide,18-20 yrs,6,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,10.008841514587402 +1975,15,1,other external,18-20 yrs,9,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,15.013261795043945 +1975,15,1,internal,18-20 yrs,9,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,15.013261795043945 +1975,15,1,all,21-24 yrs,87,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,119.60407257080078 +1975,15,1,MVA,21-24 yrs,26,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,35.743743896484375 +1975,15,1,suicide,21-24 yrs,7,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,9.623315811157227 +1975,15,1,homicide,21-24 yrs,8,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,10.998075485229492 +1975,15,1,other external,21-24 yrs,31,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,42.6175422668457 +1975,15,1,internal,21-24 yrs,15,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,20.62139129638672 +1976,15,1,MVA,15-17 yrs,8,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,15.363933563232422 +1976,15,1,suicide,15-17 yrs,4,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,7.681966781616211 +1976,15,1,homicide,15-17 yrs,4,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,7.681966781616211 +1976,15,1,other external,15-17 yrs,14,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,26.886882781982422 +1976,15,1,internal,15-17 yrs,15,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,28.807374954223633 +1976,15,1,all,18-20 yrs,72,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,118.79815673828125 +1976,15,1,MVA,18-20 yrs,24,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,39.59938430786133 +1976,15,1,suicide,18-20 yrs,4,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,6.599897861480713 +1976,15,1,homicide,18-20 yrs,1,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,1.6499744653701782 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yrs,61,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,101.64972686767578 +1977,15,1,MVA,18-20 yrs,19,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,31.66139030456543 +1977,15,1,suicide,18-20 yrs,6,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,9.998333930969238 +1977,15,1,homicide,18-20 yrs,6,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,9.998333930969238 +1977,15,1,other external,18-20 yrs,18,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,29.9950008392334 +1977,15,1,internal,18-20 yrs,12,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,19.996667861938477 +1977,15,1,all,21-24 yrs,93,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,116.9693603515625 +1977,15,1,MVA,21-24 yrs,28,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,35.216583251953125 +1977,15,1,suicide,21-24 yrs,18,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,22.639230728149414 +1977,15,1,homicide,21-24 yrs,8,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,10.061880111694336 +1977,15,1,other external,21-24 yrs,21,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,26.41243553161621 +1977,15,1,internal,21-24 yrs,18,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,22.639230728149414 +1978,15,1,MVA,15-17 yrs,15,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,29.229509353637695 +1978,15,1,suicide,15-17 yrs,3,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,5.845901966094971 +1978,15,1,homicide,15-17 yrs,1,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,1.9486340284347534 +1978,15,1,other external,15-17 yrs,3,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,5.845901966094971 +1978,15,1,internal,15-17 yrs,11,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,21.434974670410156 +1978,15,1,all,18-20 yrs,60,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,100.55135345458984 +1978,15,1,MVA,18-20 yrs,22,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,36.868831634521484 +1978,15,1,suicide,18-20 yrs,15,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,25.13783836364746 +1978,15,1,homicide,18-20 yrs,5,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,8.379280090332031 +1978,15,1,other external,18-20 yrs,8,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.406847953796387 +1978,15,1,internal,18-20 yrs,10,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,16.758560180664062 +1978,15,1,all,21-24 yrs,91,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,111.42129516601562 +1978,15,1,MVA,21-24 yrs,40,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,48.97639465332031 +1978,15,1,suicide,21-24 yrs,11,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.468507766723633 +1978,15,1,homicide,21-24 yrs,14,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,17.14173698425293 +1978,15,1,other external,21-24 yrs,11,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.468507766723633 +1978,15,1,internal,21-24 yrs,15,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,18.366147994995117 +1979,15,1,MVA,15-17 yrs,11,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,21.48059844970703 +1979,15,1,suicide,15-17 yrs,3,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,5.858345031738281 +1979,15,1,homicide,15-17 yrs,2,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,3.9055635929107666 +1979,15,1,other external,15-17 yrs,5,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,9.763908386230469 +1979,15,1,internal,15-17 yrs,8,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.622254371643066 +1979,15,1,all,18-20 yrs,84,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,141.04135131835938 +1979,15,1,MVA,18-20 yrs,43,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,72.19974517822266 +1979,15,1,suicide,18-20 yrs,16,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,26.865020751953125 +1979,15,1,homicide,18-20 yrs,9,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.111574172973633 +1979,15,1,other external,18-20 yrs,7,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,11.753446578979492 +1979,15,1,internal,18-20 yrs,9,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.111574172973633 +1979,15,1,all,21-24 yrs,105,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,125.59207916259766 +1979,15,1,MVA,21-24 yrs,37,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,44.256256103515625 +1979,15,1,suicide,21-24 yrs,24,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,28.70676040649414 +1979,15,1,homicide,21-24 yrs,11,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,13.157265663146973 +1979,15,1,other external,21-24 yrs,14,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,16.7456111907959 +1979,15,1,internal,21-24 yrs,19,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,22.726184844970703 +1980,15,1,MVA,15-17 yrs,15,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,30.230356216430664 +1980,15,1,suicide,15-17 yrs,0,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,0 +1980,15,1,homicide,15-17 yrs,0,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,0 +1980,15,1,other external,15-17 yrs,5,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,10.07678508758545 +1980,15,1,internal,15-17 yrs,6,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,12.092142105102539 +1980,15,1,all,18-20 yrs,66,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,113.50151824951172 +1980,15,1,MVA,18-20 yrs,20,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,34.39440155029297 +1980,15,1,suicide,18-20 yrs,7,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,12.038040161132812 +1980,15,1,homicide,18-20 yrs,8,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,13.757760047912598 +1980,15,1,other external,18-20 yrs,17,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,29.235240936279297 +1980,15,1,internal,18-20 yrs,14,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,24.076080322265625 +1980,15,1,all,21-24 yrs,107,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,127.9032211303711 +1980,15,1,MVA,21-24 yrs,30,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,35.8607177734375 +1980,15,1,suicide,21-24 yrs,16,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,19.125715255737305 +1980,15,1,homicide,21-24 yrs,10,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,11.953572273254395 +1980,15,1,other external,21-24 yrs,24,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,28.688573837280273 +1980,15,1,internal,21-24 yrs,27,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,32.2746467590332 +1981,15,1,MVA,15-17 yrs,11,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,22.789897918701172 +1981,15,1,suicide,15-17 yrs,0,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,0 +1981,15,1,homicide,15-17 yrs,2,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,4.143617630004883 +1981,15,1,other external,15-17 yrs,6,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,12.430853843688965 +1981,15,1,internal,15-17 yrs,6,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,12.430853843688965 +1981,15,1,all,18-20 yrs,67,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,118.73538208007812 +1981,15,1,MVA,18-20 yrs,20,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,35.443397521972656 +1981,15,1,suicide,18-20 yrs,12,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,21.26603889465332 +1981,15,1,homicide,18-20 yrs,4,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,7.088679313659668 +1981,15,1,other external,18-20 yrs,16,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,28.354717254638672 +1981,15,1,internal,18-20 yrs,15,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,26.582548141479492 +1981,15,1,all,21-24 yrs,91,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,110.27896881103516 +1981,15,1,MVA,21-24 yrs,24,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,29.084564208984375 +1981,15,1,suicide,21-24 yrs,14,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,16.96599578857422 +1981,15,1,homicide,21-24 yrs,9,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,10.90671157836914 +1981,15,1,other external,21-24 yrs,23,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,27.87270736694336 +1981,15,1,internal,21-24 yrs,21,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,25.448993682861328 +1982,15,1,MVA,15-17 yrs,2,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,4.315553188323975 +1982,15,1,suicide,15-17 yrs,4,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,8.63110637664795 +1982,15,1,homicide,15-17 yrs,0,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,0 +1982,15,1,other external,15-17 yrs,3,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,6.473330020904541 +1982,15,1,internal,15-17 yrs,9,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,19.41999053955078 +1982,15,1,all,18-20 yrs,65,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,116.61493682861328 +1982,15,1,MVA,18-20 yrs,20,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,35.88151931762695 +1982,15,1,suicide,18-20 yrs,8,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,14.352607727050781 +1982,15,1,homicide,18-20 yrs,1,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,1.7940759658813477 +1982,15,1,other external,18-20 yrs,15,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,26.9111385345459 +1982,15,1,internal,18-20 yrs,21,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,37.675594329833984 +1982,15,1,all,21-24 yrs,92,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,114.65888977050781 +1982,15,1,MVA,21-24 yrs,24,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,29.911014556884766 +1982,15,1,suicide,21-24 yrs,17,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,21.186967849731445 +1982,15,1,homicide,21-24 yrs,9,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,11.216630935668945 +1982,15,1,other external,21-24 yrs,16,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,19.940675735473633 +1982,15,1,internal,21-24 yrs,26,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,32.40359878540039 +1983,15,1,MVA,15-17 yrs,6,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,13.350837707519531 +1983,15,1,suicide,15-17 yrs,5,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,11.12569808959961 +1983,15,1,homicide,15-17 yrs,0,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,0 +1983,15,1,other external,15-17 yrs,2,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,4.450279235839844 +1983,15,1,internal,15-17 yrs,7,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,15.575977325439453 +1983,15,1,all,18-20 yrs,50,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,89.41984558105469 +1983,15,1,MVA,18-20 yrs,14,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,25.037555694580078 +1983,15,1,suicide,18-20 yrs,3,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,5.365190505981445 +1983,15,1,homicide,18-20 yrs,3,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,5.365190505981445 +1983,15,1,other external,18-20 yrs,11,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,19.672365188598633 +1983,15,1,internal,18-20 yrs,19,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.97954177856445 +1983,15,1,all,21-24 yrs,84,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,107.48147583007812 +1983,15,1,MVA,21-24 yrs,26,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.2680778503418 +1983,15,1,suicide,21-24 yrs,6,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,7.677248477935791 +1983,15,1,homicide,21-24 yrs,7,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,8.95678997039795 +1983,15,1,other external,21-24 yrs,19,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,24.31128692626953 +1983,15,1,internal,21-24 yrs,26,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.2680778503418 +1984,15,1,MVA,15-17 yrs,7,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,15.723977088928223 +1984,15,1,suicide,15-17 yrs,7,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,15.723977088928223 +1984,15,1,homicide,15-17 yrs,1,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,2.2462823390960693 +1984,15,1,other external,15-17 yrs,5,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,11.231411933898926 +1984,15,1,internal,15-17 yrs,10,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,22.46282386779785 +1984,15,1,all,18-20 yrs,53,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,99.07838439941406 +1984,15,1,MVA,18-20 yrs,21,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,39.25747299194336 +1984,15,1,suicide,18-20 yrs,7,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,13.085824012756348 +1984,15,1,homicide,18-20 yrs,2,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,3.738806962966919 +1984,15,1,other external,18-20 yrs,7,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,13.085824012756348 +1984,15,1,internal,18-20 yrs,16,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,29.91045570373535 +1984,15,1,all,21-24 yrs,72,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,92.832550048828125 +1984,15,1,MVA,21-24 yrs,19,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,24.497478485107422 +1984,15,1,suicide,21-24 yrs,16,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,20.62945556640625 +1984,15,1,homicide,21-24 yrs,3,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,3.868023157119751 +1984,15,1,other external,21-24 yrs,10,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,12.893409729003906 +1984,15,1,internal,21-24 yrs,24,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,30.944185256958008 +1985,15,1,MVA,15-17 yrs,11,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,24.124923706054688 +1985,15,1,suicide,15-17 yrs,2,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,4.386349678039551 +1985,15,1,homicide,15-17 yrs,2,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,4.386349678039551 +1985,15,1,other external,15-17 yrs,4,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,8.772699356079102 +1985,15,1,internal,15-17 yrs,10,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,21.93174934387207 +1985,15,1,all,18-20 yrs,54,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,106.59718322753906 +1985,15,1,MVA,18-20 yrs,22,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,43.42848205566406 +1985,15,1,suicide,18-20 yrs,6,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,11.844131469726562 +1985,15,1,homicide,18-20 yrs,1,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,1.9740219116210938 +1985,15,1,other external,18-20 yrs,10,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,19.740219116210938 +1985,15,1,internal,18-20 yrs,15,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,29.610328674316406 +1985,15,1,all,21-24 yrs,58,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,75.49036407470703 +1985,15,1,MVA,21-24 yrs,24,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,31.237390518188477 +1985,15,1,suicide,21-24 yrs,11,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,14.317137718200684 +1985,15,1,homicide,21-24 yrs,5,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,6.507789611816406 +1985,15,1,other external,21-24 yrs,7,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,9.110905647277832 +1985,15,1,internal,21-24 yrs,11,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,14.317137718200684 +1986,15,0.7479451894760132,MVA,15-17 yrs,9,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,19.295499801635742 +1986,15,0.7479451894760132,suicide,15-17 yrs,2,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,4.287889003753662 +1986,15,0.7479451894760132,homicide,15-17 yrs,5,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,10.719721794128418 +1986,15,0.7479451894760132,other external,15-17 yrs,4,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,8.575778007507324 +1986,15,0.7479451894760132,internal,15-17 yrs,12,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,25.727333068847656 +1986,15,0.7479451894760132,all,18-20 yrs,27,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,55.6769905090332 +1986,15,0.7479451894760132,MVA,18-20 yrs,6,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,12.372664451599121 +1986,15,0.7479451894760132,suicide,18-20 yrs,1,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,2.062110662460327 +1986,15,0.7479451894760132,homicide,18-20 yrs,1,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,2.062110662460327 +1986,15,0.7479451894760132,other external,18-20 yrs,10,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,20.62110710144043 +1986,15,0.7479451894760132,internal,18-20 yrs,9,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,18.558996200561523 +1986,15,0.7479451894760132,all,21-24 yrs,74,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,95.071685791015625 +1986,15,0.7479451894760132,MVA,21-24 yrs,21,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,26.97980308532715 +1986,15,0.7479451894760132,suicide,21-24 yrs,15,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,19.27128791809082 +1986,15,0.7479451894760132,homicide,21-24 yrs,6,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,7.708515167236328 +1986,15,0.7479451894760132,other external,21-24 yrs,12,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,15.417030334472656 +1986,15,0.7479451894760132,internal,21-24 yrs,20,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,25.695051193237305 +1987,15,0,MVA,15-17 yrs,12,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,25.891084671020508 +1987,15,0,suicide,15-17 yrs,2,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,4.315180778503418 +1987,15,0,homicide,15-17 yrs,3,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,6.472771167755127 +1987,15,0,other external,15-17 yrs,4,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,8.630361557006836 +1987,15,0,internal,15-17 yrs,6,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,12.945542335510254 +1987,15,0,all,18-20 yrs,37,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,77.8341064453125 +1987,15,0,MVA,18-20 yrs,11,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,23.139869689941406 +1987,15,0,suicide,18-20 yrs,6,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,12.621747016906738 +1987,15,0,homicide,18-20 yrs,3,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,6.310873508453369 +1987,15,0,other external,18-20 yrs,8,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,16.828996658325195 +1987,15,0,internal,18-20 yrs,9,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,18.932621002197266 +1987,15,0,all,21-24 yrs,76,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,96.6109848022461 +1987,15,0,MVA,21-24 yrs,24,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,30.50873374938965 +1987,15,0,suicide,21-24 yrs,7,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,8.898380279541016 +1987,15,0,homicide,21-24 yrs,9,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,11.440774917602539 +1987,15,0,other external,21-24 yrs,15,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,19.06795883178711 +1987,15,0,internal,21-24 yrs,21,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,26.695140838623047 +1988,15,0,MVA,15-17 yrs,15,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,33.55104064941406 +1988,15,0,suicide,15-17 yrs,4,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,8.946944236755371 +1988,15,0,homicide,15-17 yrs,0,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,0 +1988,15,0,other external,15-17 yrs,6,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,13.420416831970215 +1988,15,0,internal,15-17 yrs,6,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,13.420416831970215 +1988,15,0,all,18-20 yrs,47,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,98.40458679199219 +1988,15,0,MVA,18-20 yrs,20,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,41.87429428100586 +1988,15,0,suicide,18-20 yrs,9,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,18.84343147277832 +1988,15,0,homicide,18-20 yrs,1,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,2.093714714050293 +1988,15,0,other external,18-20 yrs,8,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,16.749717712402344 +1988,15,0,internal,18-20 yrs,9,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,18.84343147277832 +1988,15,0,all,21-24 yrs,60,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,78.5443115234375 +1988,15,0,MVA,21-24 yrs,25,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,32.7267951965332 +1988,15,0,suicide,21-24 yrs,6,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,7.85443115234375 +1988,15,0,homicide,21-24 yrs,3,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,3.927215576171875 +1988,15,0,other external,21-24 yrs,15,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,19.636077880859375 +1988,15,0,internal,21-24 yrs,11,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,14.39979076385498 +1989,15,0,MVA,15-17 yrs,4,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,9.33118724822998 +1989,15,0,suicide,15-17 yrs,4,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,9.33118724822998 +1989,15,0,homicide,15-17 yrs,0,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,0 +1989,15,0,other external,15-17 yrs,9,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,20.99517059326172 +1989,15,0,internal,15-17 yrs,8,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,18.66237449645996 +1989,15,0,all,18-20 yrs,43,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,88.597686767578125 +1989,15,0,MVA,18-20 yrs,18,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,37.08740234375 +1989,15,0,suicide,18-20 yrs,9,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,18.543701171875 +1989,15,0,homicide,18-20 yrs,7,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,14.422879219055176 +1989,15,0,other external,18-20 yrs,3,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,6.181233882904053 +1989,15,0,internal,18-20 yrs,6,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,12.362467765808105 +1989,15,0,all,21-24 yrs,60,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,80.22999572753906 +1989,15,0,MVA,21-24 yrs,13,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,17.38316535949707 +1989,15,0,suicide,21-24 yrs,4,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,5.348666191101074 +1989,15,0,homicide,21-24 yrs,6,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,8.022998809814453 +1989,15,0,other external,21-24 yrs,13,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,17.38316535949707 +1989,15,0,internal,21-24 yrs,24,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,32.09199523925781 +1990,15,0,MVA,15-17 yrs,10,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,23.878887176513672 +1990,15,0,suicide,15-17 yrs,3,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,7.163665771484375 +1990,15,0,homicide,15-17 yrs,0,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,0 +1990,15,0,other external,15-17 yrs,3,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,7.163665771484375 +1990,15,0,internal,15-17 yrs,4,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,9.551554679870605 +1990,15,0,all,18-20 yrs,51,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,104.33715057373047 +1990,15,0,MVA,18-20 yrs,25,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,51.14566421508789 +1990,15,0,suicide,18-20 yrs,8,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,16.36661148071289 +1990,15,0,homicide,18-20 yrs,1,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,2.0458264350891113 +1990,15,0,other external,18-20 yrs,3,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,6.137479305267334 +1990,15,0,internal,18-20 yrs,14,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,28.641571044921875 +1990,15,0,all,21-24 yrs,69,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,94.045166015625 +1990,15,0,MVA,21-24 yrs,22,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,29.985416412353516 +1990,15,0,suicide,21-24 yrs,17,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,23.170549392700195 +1990,15,0,homicide,21-24 yrs,8,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,10.903787612915039 +1990,15,0,other external,21-24 yrs,10,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,13.629734992980957 +1990,15,0,internal,21-24 yrs,12,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,16.355682373046875 +1991,15,0,MVA,15-17 yrs,4,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,9.476876258850098 +1991,15,0,suicide,15-17 yrs,1,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,2.3692190647125244 +1991,15,0,homicide,15-17 yrs,1,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,2.3692190647125244 +1991,15,0,other external,15-17 yrs,3,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,7.107657432556152 +1991,15,0,internal,15-17 yrs,6,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,14.215314865112305 +1991,15,0,all,18-20 yrs,31,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,64.13306427001953 +1991,15,0,MVA,18-20 yrs,11,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,22.756895065307617 +1991,15,0,suicide,18-20 yrs,4,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,8.27523422241211 +1991,15,0,homicide,18-20 yrs,9,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,18.619277954101562 +1991,15,0,other external,18-20 yrs,2,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,4.137617111206055 +1991,15,0,internal,18-20 yrs,5,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,10.344042778015137 +1991,15,0,all,21-24 yrs,62,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,87.3116455078125 +1991,15,0,MVA,21-24 yrs,16,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,22.53203773498535 +1991,15,0,suicide,21-24 yrs,11,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,15.490776062011719 +1991,15,0,homicide,21-24 yrs,8,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,11.266018867492676 +1991,15,0,other external,21-24 yrs,12,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,16.899028778076172 +1991,15,0,internal,21-24 yrs,15,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,21.1237850189209 +1992,15,0,MVA,15-17 yrs,3,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,6.901470184326172 +1992,15,0,suicide,15-17 yrs,4,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,9.201959609985352 +1992,15,0,homicide,15-17 yrs,4,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,9.201959609985352 +1992,15,0,other external,15-17 yrs,3,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,6.901470184326172 +1992,15,0,internal,15-17 yrs,5,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,11.502449989318848 +1992,15,0,all,18-20 yrs,44,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,89.48545837402344 +1992,15,0,MVA,18-20 yrs,14,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,28.472646713256836 +1992,15,0,suicide,18-20 yrs,5,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,10.168802261352539 +1992,15,0,homicide,18-20 yrs,2,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,4.067520618438721 +1992,15,0,other external,18-20 yrs,8,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,16.270082473754883 +1992,15,0,internal,18-20 yrs,15,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,30.506406784057617 +1992,15,0,all,21-24 yrs,64,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,92.9341049194336 +1992,15,0,MVA,21-24 yrs,12,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,17.42514419555664 +1992,15,0,suicide,21-24 yrs,15,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,21.781431198120117 +1992,15,0,homicide,21-24 yrs,3,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,4.35628604888916 +1992,15,0,other external,21-24 yrs,10,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,14.520954132080078 +1992,15,0,internal,21-24 yrs,24,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,34.85028839111328 +1993,15,0,MVA,15-17 yrs,11,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,24.878435134887695 +1993,15,0,suicide,15-17 yrs,2,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,4.523351669311523 +1993,15,0,homicide,15-17 yrs,1,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,2.2616758346557617 +1993,15,0,other external,15-17 yrs,2,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,4.523351669311523 +1993,15,0,internal,15-17 yrs,8,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,18.093406677246094 +1993,15,0,all,18-20 yrs,34,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,67.57159423828125 +1993,15,0,MVA,18-20 yrs,8,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,15.899199485778809 +1993,15,0,suicide,18-20 yrs,8,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,15.899199485778809 +1993,15,0,homicide,18-20 yrs,0,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,0 +1993,15,0,other external,18-20 yrs,6,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,11.924399375915527 +1993,15,0,internal,18-20 yrs,12,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,23.848798751831055 +1993,15,0,all,21-24 yrs,76,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,114.53890228271484 +1993,15,0,MVA,21-24 yrs,25,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,37.67727279663086 +1993,15,0,suicide,21-24 yrs,8,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,12.056726455688477 +1993,15,0,homicide,21-24 yrs,8,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,12.056726455688477 +1993,15,0,other external,21-24 yrs,14,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,21.099271774291992 +1993,15,0,internal,21-24 yrs,21,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,31.648908615112305 +1994,15,0,MVA,15-17 yrs,8,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,17.60137367248535 +1994,15,0,suicide,15-17 yrs,3,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,6.600514888763428 +1994,15,0,homicide,15-17 yrs,0,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,0 +1994,15,0,other external,15-17 yrs,3,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,6.600514888763428 +1994,15,0,internal,15-17 yrs,13,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,28.602230072021484 +1994,15,0,all,18-20 yrs,44,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,87.36572265625 +1994,15,0,MVA,18-20 yrs,13,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,25.81260108947754 +1994,15,0,suicide,18-20 yrs,13,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,25.81260108947754 +1994,15,0,homicide,18-20 yrs,1,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,1.9855846166610718 +1994,15,0,other external,18-20 yrs,5,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,9.927923202514648 +1994,15,0,internal,18-20 yrs,12,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,23.827014923095703 +1994,15,0,all,21-24 yrs,64,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,97.55205535888672 +1994,15,0,MVA,21-24 yrs,27,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,41.1547737121582 +1994,15,0,suicide,21-24 yrs,5,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,7.621253967285156 +1994,15,0,homicide,21-24 yrs,5,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,7.621253967285156 +1994,15,0,other external,21-24 yrs,9,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,13.718257904052734 +1994,15,0,internal,21-24 yrs,18,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,27.43651580810547 +1995,15,0,MVA,15-17 yrs,6,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,12.95308780670166 +1995,15,0,suicide,15-17 yrs,1,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,2.1588480472564697 +1995,15,0,homicide,15-17 yrs,2,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,4.3176960945129395 +1995,15,0,other external,15-17 yrs,2,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,4.3176960945129395 +1995,15,0,internal,15-17 yrs,13,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,28.065025329589844 +1995,15,0,all,18-20 yrs,39,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,76.46159362792969 +1995,15,0,MVA,18-20 yrs,14,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,27.447751998901367 +1995,15,0,suicide,18-20 yrs,10,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,19.60553741455078 +1995,15,0,homicide,18-20 yrs,2,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,3.921107292175293 +1995,15,0,other external,18-20 yrs,4,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,7.842214584350586 +1995,15,0,internal,18-20 yrs,9,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,17.644983291625977 +1995,15,0,all,21-24 yrs,72,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,111.08539581298828 +1995,15,0,MVA,21-24 yrs,20,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,30.857053756713867 +1995,15,0,suicide,21-24 yrs,19,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,29.31420135498047 +1995,15,0,homicide,21-24 yrs,5,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,7.714263439178467 +1995,15,0,other external,21-24 yrs,7,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,10.799968719482422 +1995,15,0,internal,21-24 yrs,21,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,32.399906158447266 +1996,15,0,MVA,15-17 yrs,11,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,23.256305694580078 +1996,15,0,suicide,15-17 yrs,2,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,4.228419303894043 +1996,15,0,homicide,15-17 yrs,3,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,6.3426289558410645 +1996,15,0,other external,15-17 yrs,2,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,4.228419303894043 +1996,15,0,internal,15-17 yrs,7,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,14.799467086791992 +1996,15,0,all,18-20 yrs,34,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,66.26905059814453 +1996,15,0,MVA,18-20 yrs,15,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,29.236347198486328 +1996,15,0,suicide,18-20 yrs,4,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,7.796359062194824 +1996,15,0,homicide,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,other external,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,internal,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,all,21-24 yrs,65,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,100.21585083007812 +1996,15,0,MVA,21-24 yrs,15,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,23.126733779907227 +1996,15,0,suicide,21-24 yrs,14,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,21.584951400756836 +1996,15,0,homicide,21-24 yrs,4,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,6.167129039764404 +1996,15,0,other external,21-24 yrs,14,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,21.584951400756836 +1996,15,0,internal,21-24 yrs,18,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,27.7520809173584 +1970,16,0.3033171594142914,MVA,15-17 yrs,31,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,65.95884704589844 +1970,16,0.3033171594142914,suicide,15-17 yrs,4,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,8.510819435119629 +1970,16,0.3033171594142914,homicide,15-17 yrs,0,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,0 +1970,16,0.3033171594142914,other external,15-17 yrs,14,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,29.78786849975586 +1970,16,0.3033171594142914,internal,15-17 yrs,16,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,34.043277740478516 +1970,16,0.3033171594142914,all,18-20 yrs,66,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,169.3219451904297 +1970,16,0.3033171594142914,MVA,18-20 yrs,42,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,107.75032806396484 +1970,16,0.3033171594142914,suicide,18-20 yrs,6,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,15.392904281616211 +1970,16,0.3033171594142914,homicide,18-20 yrs,2,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,5.13096809387207 +1970,16,0.3033171594142914,other external,18-20 yrs,8,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,20.52387237548828 +1970,16,0.3033171594142914,internal,18-20 yrs,8,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,20.52387237548828 +1970,16,0.3033171594142914,all,21-24 yrs,68,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,163.53622436523438 +1970,16,0.3033171594142914,MVA,21-24 yrs,28,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,67.33844757080078 +1970,16,0.3033171594142914,suicide,21-24 yrs,8,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,19.23955726623535 +1970,16,0.3033171594142914,homicide,21-24 yrs,3,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,7.214833736419678 +1970,16,0.3033171594142914,other external,21-24 yrs,16,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,38.4791145324707 +1970,16,0.3033171594142914,internal,21-24 yrs,13,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,31.264278411865234 +1971,16,0.2985839247703552,MVA,15-17 yrs,23,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,47.24150848388672 +1971,16,0.2985839247703552,suicide,15-17 yrs,8,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,16.431827545166016 +1971,16,0.2985839247703552,homicide,15-17 yrs,2,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,4.107956886291504 +1971,16,0.2985839247703552,other external,15-17 yrs,16,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,32.86365509033203 +1971,16,0.2985839247703552,internal,15-17 yrs,10,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,20.539785385131836 +1971,16,0.2985839247703552,all,18-20 yrs,72,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,170.78204345703125 +1971,16,0.2985839247703552,MVA,18-20 yrs,30,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,71.1591796875 +1971,16,0.2985839247703552,suicide,18-20 yrs,12,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,28.463672637939453 +1971,16,0.2985839247703552,homicide,18-20 yrs,1,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,2.3719727993011475 +1971,16,0.2985839247703552,other external,18-20 yrs,19,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,45.067481994628906 +1971,16,0.2985839247703552,internal,18-20 yrs,10,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,23.719728469848633 +1971,16,0.2985839247703552,all,21-24 yrs,92,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,194.2813720703125 +1971,16,0.2985839247703552,MVA,21-24 yrs,45,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,95.0289306640625 +1971,16,0.2985839247703552,suicide,21-24 yrs,12,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,25.341049194335938 +1971,16,0.2985839247703552,homicide,21-24 yrs,1,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,2.1117539405822754 +1971,16,0.2985839247703552,other external,21-24 yrs,18,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,38.011573791503906 +1971,16,0.2985839247703552,internal,21-24 yrs,16,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,33.788063049316406 +1972,16,0.4767230749130249,MVA,15-17 yrs,24,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,48.098121643066406 +1972,16,0.4767230749130249,suicide,15-17 yrs,4,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,8.016353607177734 +1972,16,0.4767230749130249,homicide,15-17 yrs,2,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,4.008176803588867 +1972,16,0.4767230749130249,other external,15-17 yrs,12,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,24.049060821533203 +1972,16,0.4767230749130249,internal,15-17 yrs,16,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,32.06541442871094 +1972,16,0.4767230749130249,all,18-20 yrs,78,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,172.13983154296875 +1972,16,0.4767230749130249,MVA,18-20 yrs,42,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,92.69068145751953 +1972,16,0.4767230749130249,suicide,18-20 yrs,6,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,13.241525650024414 +1972,16,0.4767230749130249,homicide,18-20 yrs,2,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,4.413841724395752 +1972,16,0.4767230749130249,other external,18-20 yrs,20,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,44.1384162902832 +1972,16,0.4767230749130249,internal,18-20 yrs,8,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,17.655366897583008 +1972,16,0.4767230749130249,all,21-24 yrs,118,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,239.02122497558594 +1972,16,0.4767230749130249,MVA,21-24 yrs,56,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,113.43379974365234 +1972,16,0.4767230749130249,suicide,21-24 yrs,6,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,12.153621673583984 +1972,16,0.4767230749130249,homicide,21-24 yrs,4,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,8.10241413116455 +1972,16,0.4767230749130249,other external,21-24 yrs,32,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,64.8193130493164 +1972,16,0.4767230749130249,internal,21-24 yrs,20,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,40.5120735168457 +1973,16,0.650275468826294,MVA,15-17 yrs,25,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,49.19322967529297 +1973,16,0.650275468826294,suicide,15-17 yrs,4,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,7.870916843414307 +1973,16,0.650275468826294,homicide,15-17 yrs,2,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,3.9354584217071533 +1973,16,0.650275468826294,other external,15-17 yrs,12,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,23.612751007080078 +1973,16,0.650275468826294,internal,15-17 yrs,8,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,15.741833686828613 +1973,16,0.650275468826294,all,18-20 yrs,93,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,199.35264587402344 +1973,16,0.650275468826294,MVA,18-20 yrs,45,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,96.46095275878906 +1973,16,0.650275468826294,suicide,18-20 yrs,7,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,15.005037307739258 +1973,16,0.650275468826294,homicide,18-20 yrs,5,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,10.717884063720703 +1973,16,0.650275468826294,other external,18-20 yrs,18,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,38.584381103515625 +1973,16,0.650275468826294,internal,18-20 yrs,18,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,38.584381103515625 +1973,16,0.650275468826294,all,21-24 yrs,83,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,162.7355194091797 +1973,16,0.650275468826294,MVA,21-24 yrs,50,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,98.033447265625 +1973,16,0.650275468826294,suicide,21-24 yrs,5,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,9.8033447265625 +1973,16,0.650275468826294,homicide,21-24 yrs,1,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,1.960668921470642 +1973,16,0.650275468826294,other external,21-24 yrs,17,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,33.33137130737305 +1973,16,0.650275468826294,internal,21-24 yrs,10,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,19.606689453125 +1974,16,0.6547979712486267,MVA,15-17 yrs,42,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,80.60491943359375 +1974,16,0.6547979712486267,suicide,15-17 yrs,3,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,5.7574944496154785 +1974,16,0.6547979712486267,homicide,15-17 yrs,1,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,1.919164776802063 +1974,16,0.6547979712486267,other external,15-17 yrs,18,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,34.54496765136719 +1974,16,0.6547979712486267,internal,15-17 yrs,14,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,26.86830711364746 +1974,16,0.6547979712486267,all,18-20 yrs,68,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,140.1166229248047 +1974,16,0.6547979712486267,MVA,18-20 yrs,40,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,82.42154693603516 +1974,16,0.6547979712486267,suicide,18-20 yrs,7,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,14.4237699508667 +1974,16,0.6547979712486267,homicide,18-20 yrs,0,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,0 +1974,16,0.6547979712486267,other external,18-20 yrs,16,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,32.9686164855957 +1974,16,0.6547979712486267,internal,18-20 yrs,5,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,10.302693367004395 +1974,16,0.6547979712486267,all,21-24 yrs,90,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,168.26832580566406 +1974,16,0.6547979712486267,MVA,21-24 yrs,32,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,59.828739166259766 +1974,16,0.6547979712486267,suicide,21-24 yrs,10,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,18.696481704711914 +1974,16,0.6547979712486267,homicide,21-24 yrs,7,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,13.087536811828613 +1974,16,0.6547979712486267,other external,21-24 yrs,21,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,39.262611389160156 +1974,16,0.6547979712486267,internal,21-24 yrs,20,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,37.39296340942383 +1975,16,0.6529050469398499,MVA,15-17 yrs,23,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,43.299007415771484 +1975,16,0.6529050469398499,suicide,15-17 yrs,4,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,7.530262470245361 +1975,16,0.6529050469398499,homicide,15-17 yrs,0,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,0 +1975,16,0.6529050469398499,other external,15-17 yrs,17,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,32.00361633300781 +1975,16,0.6529050469398499,internal,15-17 yrs,10,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,18.825654983520508 +1975,16,0.6529050469398499,all,18-20 yrs,70,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,140.97271728515625 +1975,16,0.6529050469398499,MVA,18-20 yrs,32,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,64.444671630859375 +1975,16,0.6529050469398499,suicide,18-20 yrs,11,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,22.152854919433594 +1975,16,0.6529050469398499,homicide,18-20 yrs,5,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,10.069478988647461 +1975,16,0.6529050469398499,other external,18-20 yrs,13,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,26.180646896362305 +1975,16,0.6529050469398499,internal,18-20 yrs,9,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,18.125062942504883 +1975,16,0.6529050469398499,all,21-24 yrs,92,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,161.3242645263672 +1975,16,0.6529050469398499,MVA,21-24 yrs,40,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,70.14098358154297 +1975,16,0.6529050469398499,suicide,21-24 yrs,14,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,24.549345016479492 +1975,16,0.6529050469398499,homicide,21-24 yrs,3,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,5.260573863983154 +1975,16,0.6529050469398499,other external,21-24 yrs,21,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,36.82401657104492 +1975,16,0.6529050469398499,internal,21-24 yrs,14,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,24.549345016479492 +1976,16,0.6567410826683044,MVA,15-17 yrs,31,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,56.99576950073242 +1976,16,0.6567410826683044,suicide,15-17 yrs,7,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,12.870013236999512 +1976,16,0.6567410826683044,homicide,15-17 yrs,4,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,7.354292869567871 +1976,16,0.6567410826683044,other external,15-17 yrs,16,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,29.417171478271484 +1976,16,0.6567410826683044,internal,15-17 yrs,7,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,12.870013236999512 +1976,16,0.6567410826683044,all,18-20 yrs,85,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,167.17474365234375 +1976,16,0.6567410826683044,MVA,18-20 yrs,47,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,92.43779754638672 +1976,16,0.6567410826683044,suicide,18-20 yrs,9,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,17.700855255126953 +1976,16,0.6567410826683044,homicide,18-20 yrs,3,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,5.900285243988037 +1976,16,0.6567410826683044,other external,18-20 yrs,19,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,37.368473052978516 +1976,16,0.6567410826683044,internal,18-20 yrs,7,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,13.767332077026367 +1976,16,0.6567410826683044,all,21-24 yrs,101,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,166.84286499023438 +1976,16,0.6567410826683044,MVA,21-24 yrs,38,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,62.77256393432617 +1976,16,0.6567410826683044,suicide,21-24 yrs,20,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,33.03819274902344 +1976,16,0.6567410826683044,homicide,21-24 yrs,7,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,11.563366889953613 +1976,16,0.6567410826683044,other external,21-24 yrs,20,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,33.03819274902344 +1976,16,0.6567410826683044,internal,21-24 yrs,16,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,26.430553436279297 +1977,16,0.6584513783454895,MVA,15-17 yrs,26,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,47.3243522644043 +1977,16,0.6584513783454895,suicide,15-17 yrs,5,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,9.100837707519531 +1977,16,0.6584513783454895,homicide,15-17 yrs,0,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,0 +1977,16,0.6584513783454895,other external,15-17 yrs,20,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,36.403350830078125 +1977,16,0.6584513783454895,internal,15-17 yrs,12,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,21.842008590698242 +1977,16,0.6584513783454895,all,18-20 yrs,96,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,185.27810668945312 +1977,16,0.6584513783454895,MVA,18-20 yrs,49,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,94.56903839111328 +1977,16,0.6584513783454895,suicide,18-20 yrs,7,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,13.509861946105957 +1977,16,0.6584513783454895,homicide,18-20 yrs,2,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,3.8599605560302734 +1977,16,0.6584513783454895,other external,18-20 yrs,27,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,52.10947036743164 +1977,16,0.6584513783454895,internal,18-20 yrs,11,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,21.22978401184082 +1977,16,0.6584513783454895,all,21-24 yrs,109,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,172.0301055908203 +1977,16,0.6584513783454895,MVA,21-24 yrs,44,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,69.44335174560547 +1977,16,0.6584513783454895,suicide,21-24 yrs,21,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,33.14341735839844 +1977,16,0.6584513783454895,homicide,21-24 yrs,6,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,9.469547271728516 +1977,16,0.6584513783454895,other external,21-24 yrs,27,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,42.61296463012695 +1977,16,0.6584513783454895,internal,21-24 yrs,11,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,17.360837936401367 +1978,16,0.6571633815765381,MVA,15-17 yrs,31,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,56.642730712890625 +1978,16,0.6571633815765381,suicide,15-17 yrs,7,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,12.79029369354248 +1978,16,0.6571633815765381,homicide,15-17 yrs,1,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,1.8271849155426025 +1978,16,0.6571633815765381,other external,15-17 yrs,10,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,18.271848678588867 +1978,16,0.6571633815765381,internal,15-17 yrs,12,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,21.926218032836914 +1978,16,0.6571633815765381,all,18-20 yrs,75,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,141.60562133789062 +1978,16,0.6571633815765381,MVA,18-20 yrs,36,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,67.97069549560547 +1978,16,0.6571633815765381,suicide,18-20 yrs,12,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,22.656898498535156 +1978,16,0.6571633815765381,homicide,18-20 yrs,3,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,5.664224624633789 +1978,16,0.6571633815765381,other external,18-20 yrs,14,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,26.433048248291016 +1978,16,0.6571633815765381,internal,18-20 yrs,10,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,18.880748748779297 +1978,16,0.6571633815765381,all,21-24 yrs,96,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,145.05015563964844 +1978,16,0.6571633815765381,MVA,21-24 yrs,47,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,71.01414489746094 +1978,16,0.6571633815765381,suicide,21-24 yrs,11,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,16.620330810546875 +1978,16,0.6571633815765381,homicide,21-24 yrs,1,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,1.5109392404556274 +1978,16,0.6571633815765381,other external,21-24 yrs,19,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,28.70784568786621 +1978,16,0.6571633815765381,internal,21-24 yrs,18,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,27.1969051361084 +1979,16,0.6555962562561035,MVA,15-17 yrs,36,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,67.79788970947266 +1979,16,0.6555962562561035,suicide,15-17 yrs,2,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,3.7665493488311768 +1979,16,0.6555962562561035,homicide,15-17 yrs,0,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,0 +1979,16,0.6555962562561035,other external,15-17 yrs,13,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,24.48257064819336 +1979,16,0.6555962562561035,internal,15-17 yrs,7,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,13.18292236328125 +1979,16,0.6555962562561035,all,18-20 yrs,90,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,167.3577880859375 +1979,16,0.6555962562561035,MVA,18-20 yrs,42,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,78.10030364990234 +1979,16,0.6555962562561035,suicide,18-20 yrs,7,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,13.016716957092285 +1979,16,0.6555962562561035,homicide,18-20 yrs,6,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,11.157186508178711 +1979,16,0.6555962562561035,other external,18-20 yrs,24,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,44.628746032714844 +1979,16,0.6555962562561035,internal,18-20 yrs,11,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,20.45484161376953 +1979,16,0.6555962562561035,all,21-24 yrs,99,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,146.62539672851562 +1979,16,0.6555962562561035,MVA,21-24 yrs,41,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,60.72364807128906 +1979,16,0.6555962562561035,suicide,21-24 yrs,14,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,20.73490333557129 +1979,16,0.6555962562561035,homicide,21-24 yrs,6,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,8.886387825012207 +1979,16,0.6555962562561035,other external,21-24 yrs,21,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,31.10235595703125 +1979,16,0.6555962562561035,internal,21-24 yrs,17,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,25.178098678588867 +1980,16,0.669771134853363,MVA,15-17 yrs,25,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,49.116878509521484 +1980,16,0.669771134853363,suicide,15-17 yrs,5,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,9.823375701904297 +1980,16,0.669771134853363,homicide,15-17 yrs,1,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,1.9646751880645752 +1980,16,0.669771134853363,other external,15-17 yrs,10,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,19.646751403808594 +1980,16,0.669771134853363,internal,15-17 yrs,4,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,7.858700752258301 +1980,16,0.669771134853363,all,18-20 yrs,78,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,143.2822723388672 +1980,16,0.669771134853363,MVA,18-20 yrs,40,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,73.47808837890625 +1980,16,0.669771134853363,suicide,18-20 yrs,8,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,14.695616722106934 +1980,16,0.669771134853363,homicide,18-20 yrs,4,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,7.347808361053467 +1980,16,0.669771134853363,other external,18-20 yrs,14,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,25.717329025268555 +1980,16,0.669771134853363,internal,18-20 yrs,12,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,22.043424606323242 +1980,16,0.669771134853363,all,21-24 yrs,93,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,135.6100311279297 +1980,16,0.669771134853363,MVA,21-24 yrs,38,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,55.41054916381836 +1980,16,0.669771134853363,suicide,21-24 yrs,17,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,24.788928985595703 +1980,16,0.669771134853363,homicide,21-24 yrs,4,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,5.83268928527832 +1980,16,0.669771134853363,other external,21-24 yrs,18,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,26.247102737426758 +1980,16,0.669771134853363,internal,21-24 yrs,16,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,23.33075714111328 +1981,16,0.6823740601539612,MVA,15-17 yrs,22,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,44.763668060302734 +1981,16,0.6823740601539612,suicide,15-17 yrs,6,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,12.208272933959961 +1981,16,0.6823740601539612,homicide,15-17 yrs,0,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,0 +1981,16,0.6823740601539612,other external,15-17 yrs,12,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,24.416545867919922 +1981,16,0.6823740601539612,internal,15-17 yrs,8,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,16.27769660949707 +1981,16,0.6823740601539612,all,18-20 yrs,82,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,151.7085723876953 +1981,16,0.6823740601539612,MVA,18-20 yrs,32,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,59.203346252441406 +1981,16,0.6823740601539612,suicide,18-20 yrs,22,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,40.702301025390625 +1981,16,0.6823740601539612,homicide,18-20 yrs,4,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,7.400418281555176 +1981,16,0.6823740601539612,other external,18-20 yrs,12,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,22.20125389099121 +1981,16,0.6823740601539612,internal,18-20 yrs,12,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,22.20125389099121 +1981,16,0.6823740601539612,all,21-24 yrs,88,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,129.13450622558594 +1981,16,0.6823740601539612,MVA,21-24 yrs,44,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,64.56725311279297 +1981,16,0.6823740601539612,suicide,21-24 yrs,16,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,23.479000091552734 +1981,16,0.6823740601539612,homicide,21-24 yrs,6,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,8.804625511169434 +1981,16,0.6823740601539612,other external,21-24 yrs,8,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,11.739500045776367 +1981,16,0.6823740601539612,internal,21-24 yrs,14,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,20.544126510620117 +1982,16,0.6812741160392761,MVA,15-17 yrs,28,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,58.41365051269531 +1982,16,0.6812741160392761,suicide,15-17 yrs,4,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.344807624816895 +1982,16,0.6812741160392761,homicide,15-17 yrs,2,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,4.172403812408447 +1982,16,0.6812741160392761,other external,15-17 yrs,10,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,20.862018585205078 +1982,16,0.6812741160392761,internal,15-17 yrs,4,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.344807624816895 +1982,16,0.6812741160392761,all,18-20 yrs,40,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,76.84770965576172 +1982,16,0.6812741160392761,MVA,18-20 yrs,24,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,46.10862350463867 +1982,16,0.6812741160392761,suicide,18-20 yrs,4,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,7.684770584106445 +1982,16,0.6812741160392761,homicide,18-20 yrs,0,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,0 +1982,16,0.6812741160392761,other external,18-20 yrs,4,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,7.684770584106445 +1982,16,0.6812741160392761,internal,18-20 yrs,8,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,15.36954116821289 +1982,16,0.6812741160392761,all,21-24 yrs,68,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,100.3793716430664 +1982,16,0.6812741160392761,MVA,21-24 yrs,40,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,59.04669189453125 +1982,16,0.6812741160392761,suicide,21-24 yrs,10,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,14.761672973632812 +1982,16,0.6812741160392761,homicide,21-24 yrs,4,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,5.904669284820557 +1982,16,0.6812741160392761,other external,21-24 yrs,8,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,11.809338569641113 +1982,16,0.6812741160392761,internal,21-24 yrs,6,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.857003211975098 +1983,16,0.6819021105766296,MVA,15-17 yrs,13,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,27.5955753326416 +1983,16,0.6819021105766296,suicide,15-17 yrs,4,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,8.490946769714355 +1983,16,0.6819021105766296,homicide,15-17 yrs,2,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,4.245473384857178 +1983,16,0.6819021105766296,other external,15-17 yrs,8,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,16.98189353942871 +1983,16,0.6819021105766296,internal,15-17 yrs,5,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,10.613682746887207 +1983,16,0.6819021105766296,all,18-20 yrs,70,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,140.51145935058594 +1983,16,0.6819021105766296,MVA,18-20 yrs,38,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,76.27764892578125 +1983,16,0.6819021105766296,suicide,18-20 yrs,11,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,22.080371856689453 +1983,16,0.6819021105766296,homicide,18-20 yrs,2,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,4.014613151550293 +1983,16,0.6819021105766296,other external,18-20 yrs,12,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,24.087678909301758 +1983,16,0.6819021105766296,internal,18-20 yrs,7,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,14.051146507263184 +1983,16,0.6819021105766296,all,21-24 yrs,93,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,137.80023193359375 +1983,16,0.6819021105766296,MVA,21-24 yrs,35,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,51.86030197143555 +1983,16,0.6819021105766296,suicide,21-24 yrs,12,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,17.780675888061523 +1983,16,0.6819021105766296,homicide,21-24 yrs,2,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,2.9634459018707275 +1983,16,0.6819021105766296,other external,21-24 yrs,21,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,31.116182327270508 +1983,16,0.6819021105766296,internal,21-24 yrs,23,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,34.079627990722656 +1984,16,0.678615391254425,MVA,15-17 yrs,26,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,54.76220703125 +1984,16,0.678615391254425,suicide,15-17 yrs,7,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,14.743670463562012 +1984,16,0.678615391254425,homicide,15-17 yrs,2,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,4.212477207183838 +1984,16,0.678615391254425,other external,15-17 yrs,12,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,25.274864196777344 +1984,16,0.678615391254425,internal,15-17 yrs,10,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,21.062387466430664 +1984,16,0.678615391254425,all,18-20 yrs,53,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,110.64949035644531 +1984,16,0.678615391254425,MVA,18-20 yrs,25,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,52.19315719604492 +1984,16,0.678615391254425,suicide,18-20 yrs,9,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,18.789535522460938 +1984,16,0.678615391254425,homicide,18-20 yrs,1,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,2.087726354598999 +1984,16,0.678615391254425,other external,18-20 yrs,12,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,25.052715301513672 +1984,16,0.678615391254425,internal,18-20 yrs,6,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,12.526357650756836 +1984,16,0.678615391254425,all,21-24 yrs,77,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,115.92544555664062 +1984,16,0.678615391254425,MVA,21-24 yrs,32,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,48.17680740356445 +1984,16,0.678615391254425,suicide,21-24 yrs,22,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,33.12155532836914 +1984,16,0.678615391254425,homicide,21-24 yrs,2,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,3.0110504627227783 +1984,16,0.678615391254425,other external,21-24 yrs,11,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,16.56077766418457 +1984,16,0.678615391254425,internal,21-24 yrs,10,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,15.055253028869629 +1985,16,0.668756902217865,MVA,15-17 yrs,17,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,35.38496780395508 +1985,16,0.668756902217865,suicide,15-17 yrs,5,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,10.407343864440918 +1985,16,0.668756902217865,homicide,15-17 yrs,0,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,0 +1985,16,0.668756902217865,other external,15-17 yrs,7,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,14.570281028747559 +1985,16,0.668756902217865,internal,15-17 yrs,5,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,10.407343864440918 +1985,16,0.668756902217865,all,18-20 yrs,59,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,127.57584381103516 +1985,16,0.668756902217865,MVA,18-20 yrs,40,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,86.492095947265625 +1985,16,0.668756902217865,suicide,18-20 yrs,4,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,8.649209976196289 +1985,16,0.668756902217865,homicide,18-20 yrs,0,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,0 +1985,16,0.668756902217865,other external,18-20 yrs,8,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,17.298419952392578 +1985,16,0.668756902217865,internal,18-20 yrs,7,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,15.136116981506348 +1985,16,0.668756902217865,all,21-24 yrs,73,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,113.4421157836914 +1985,16,0.668756902217865,MVA,21-24 yrs,27,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,41.95804214477539 +1985,16,0.668756902217865,suicide,21-24 yrs,19,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,29.526029586791992 +1985,16,0.668756902217865,homicide,21-24 yrs,2,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,3.1080031394958496 +1985,16,0.668756902217865,other external,21-24 yrs,14,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,21.75602149963379 +1985,16,0.668756902217865,internal,21-24 yrs,11,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,17.094017028808594 +1986,16,0.664462685585022,MVA,15-17 yrs,34,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,69.10428619384766 +1986,16,0.664462685585022,suicide,15-17 yrs,4,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,8.129916191101074 +1986,16,0.664462685585022,homicide,15-17 yrs,2,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,4.064958095550537 +1986,16,0.664462685585022,other external,15-17 yrs,5,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,10.162395477294922 +1986,16,0.664462685585022,internal,15-17 yrs,6,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,12.194873809814453 +1986,16,0.664462685585022,all,18-20 yrs,61,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,135.8000030517578 +1986,16,0.664462685585022,MVA,18-20 yrs,33,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,73.46556854248047 +1986,16,0.664462685585022,suicide,18-20 yrs,11,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,24.488523483276367 +1986,16,0.664462685585022,homicide,18-20 yrs,3,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,6.6786885261535645 +1986,16,0.664462685585022,other external,18-20 yrs,8,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,17.80983543395996 +1986,16,0.664462685585022,internal,18-20 yrs,6,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,13.357377052307129 +1986,16,0.664462685585022,all,21-24 yrs,80,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,132.37362670898438 +1986,16,0.664462685585022,MVA,21-24 yrs,35,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,57.91345977783203 +1986,16,0.664462685585022,suicide,21-24 yrs,18,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,29.78406524658203 +1986,16,0.664462685585022,homicide,21-24 yrs,2,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,3.309340715408325 +1986,16,0.664462685585022,other external,21-24 yrs,10,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,16.546703338623047 +1986,16,0.664462685585022,internal,21-24 yrs,15,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,24.82005500793457 +1987,16,0.5597094297409058,MVA,15-17 yrs,22,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,45.15692138671875 +1987,16,0.5597094297409058,suicide,15-17 yrs,5,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.26293659210205 +1987,16,0.5597094297409058,homicide,15-17 yrs,1,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,2.0525872707366943 +1987,16,0.5597094297409058,other external,15-17 yrs,6,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,12.315524101257324 +1987,16,0.5597094297409058,internal,15-17 yrs,5,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.26293659210205 +1987,16,0.5597094297409058,all,18-20 yrs,59,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,132.49197387695312 +1987,16,0.5597094297409058,MVA,18-20 yrs,34,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,76.35130310058594 +1987,16,0.5597094297409058,suicide,18-20 yrs,10,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,22.456266403198242 +1987,16,0.5597094297409058,homicide,18-20 yrs,3,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,6.736879825592041 +1987,16,0.5597094297409058,other external,18-20 yrs,6,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,13.473759651184082 +1987,16,0.5597094297409058,internal,18-20 yrs,6,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,13.473759651184082 +1987,16,0.5597094297409058,all,21-24 yrs,82,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,145.5035858154297 +1987,16,0.5597094297409058,MVA,21-24 yrs,38,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,67.4284896850586 +1987,16,0.5597094297409058,suicide,21-24 yrs,19,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,33.7142448425293 +1987,16,0.5597094297409058,homicide,21-24 yrs,6,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.64660358428955 +1987,16,0.5597094297409058,other external,21-24 yrs,11,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,19.518774032592773 +1987,16,0.5597094297409058,internal,21-24 yrs,8,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,14.19547176361084 +1988,16,0.23209723830223083,MVA,15-17 yrs,23,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,47.99666213989258 +1988,16,0.23209723830223083,suicide,15-17 yrs,4,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,8.347245216369629 +1988,16,0.23209723830223083,homicide,15-17 yrs,2,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,4.1736226081848145 +1988,16,0.23209723830223083,other external,15-17 yrs,13,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,27.12854766845703 +1988,16,0.23209723830223083,internal,15-17 yrs,7,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,14.60767936706543 +1988,16,0.23209723830223083,all,18-20 yrs,60,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,133.64219665527344 +1988,16,0.23209723830223083,MVA,18-20 yrs,28,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,62.36635971069336 +1988,16,0.23209723830223083,suicide,18-20 yrs,11,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,24.501070022583008 +1988,16,0.23209723830223083,homicide,18-20 yrs,2,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,4.454740047454834 +1988,16,0.23209723830223083,other external,18-20 yrs,12,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,26.728439331054688 +1988,16,0.23209723830223083,internal,18-20 yrs,7,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,15.59158992767334 +1988,16,0.23209723830223083,all,21-24 yrs,72,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,134.6776123046875 +1988,16,0.23209723830223083,MVA,21-24 yrs,32,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,59.85671615600586 +1988,16,0.23209723830223083,suicide,21-24 yrs,15,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,28.057836532592773 +1988,16,0.23209723830223083,homicide,21-24 yrs,2,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,3.741044759750366 +1988,16,0.23209723830223083,other external,21-24 yrs,11,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,20.575746536254883 +1988,16,0.23209723830223083,internal,21-24 yrs,12,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,22.446269989013672 +1989,16,0.009418897330760956,MVA,15-17 yrs,22,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,46.6259765625 +1989,16,0.009418897330760956,suicide,15-17 yrs,11,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,23.31298828125 +1989,16,0.009418897330760956,homicide,15-17 yrs,0,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,15-17 yrs,5,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,10.59681224822998 +1989,16,0.009418897330760956,internal,15-17 yrs,2,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,4.238725185394287 +1989,16,0.009418897330760956,all,18-20 yrs,44,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,94.72347259521484 +1989,16,0.009418897330760956,MVA,18-20 yrs,23,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,49.51454162597656 +1989,16,0.009418897330760956,suicide,18-20 yrs,7,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,15.069643020629883 +1989,16,0.009418897330760956,homicide,18-20 yrs,0,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,18-20 yrs,10,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,21.528060913085938 +1989,16,0.009418897330760956,internal,18-20 yrs,4,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,8.611225128173828 +1989,16,0.009418897330760956,all,21-24 yrs,59,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,114.40538024902344 +1989,16,0.009418897330760956,MVA,21-24 yrs,20,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,38.78148651123047 +1989,16,0.009418897330760956,suicide,21-24 yrs,16,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,31.025188446044922 +1989,16,0.009418897330760956,homicide,21-24 yrs,0,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,21-24 yrs,7,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,13.573519706726074 +1989,16,0.009418897330760956,internal,21-24 yrs,16,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,31.025188446044922 +1990,16,0,MVA,15-17 yrs,20,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,40.89979553222656 +1990,16,0,suicide,15-17 yrs,12,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,24.53987693786621 +1990,16,0,homicide,15-17 yrs,1,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,2.044989824295044 +1990,16,0,other external,15-17 yrs,7,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,14.31492805480957 +1990,16,0,internal,15-17 yrs,4,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,8.179959297180176 +1990,16,0,all,18-20 yrs,62,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,130.5015869140625 +1990,16,0,MVA,18-20 yrs,28,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,58.93620300292969 +1990,16,0,suicide,18-20 yrs,13,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,27.363237380981445 +1990,16,0,homicide,18-20 yrs,3,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,6.3145928382873535 +1990,16,0,other external,18-20 yrs,10,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,21.048643112182617 +1990,16,0,internal,18-20 yrs,8,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,16.83891487121582 +1990,16,0,all,21-24 yrs,48,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,93.5982666015625 +1990,16,0,MVA,21-24 yrs,21,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,40.949241638183594 +1990,16,0,suicide,21-24 yrs,11,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,21.449604034423828 +1990,16,0,homicide,21-24 yrs,2,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,3.899927854537964 +1990,16,0,other external,21-24 yrs,10,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,19.4996395111084 +1990,16,0,internal,21-24 yrs,4,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,7.799855709075928 +1991,16,0,MVA,15-17 yrs,18,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,35.26162338256836 +1991,16,0,suicide,15-17 yrs,11,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,21.548768997192383 +1991,16,0,homicide,15-17 yrs,1,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,1.9589790105819702 +1991,16,0,other external,15-17 yrs,8,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,15.671832084655762 +1991,16,0,internal,15-17 yrs,3,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,5.876936912536621 +1991,16,0,all,18-20 yrs,47,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,94.82688903808594 +1991,16,0,MVA,18-20 yrs,27,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,54.47502136230469 +1991,16,0,suicide,18-20 yrs,8,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,16.1407470703125 +1991,16,0,homicide,18-20 yrs,1,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,2.0175933837890625 +1991,16,0,other external,18-20 yrs,5,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,10.087966918945312 +1991,16,0,internal,18-20 yrs,6,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,12.105560302734375 +1991,16,0,all,21-24 yrs,66,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,122.42853546142578 +1991,16,0,MVA,21-24 yrs,20,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,37.09955596923828 +1991,16,0,suicide,21-24 yrs,20,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,37.09955596923828 +1991,16,0,homicide,21-24 yrs,4,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,7.4199113845825195 +1991,16,0,other external,21-24 yrs,10,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,18.54977798461914 +1991,16,0,internal,21-24 yrs,12,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,22.259733200073242 +1992,16,0,MVA,15-17 yrs,16,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,29.35187339782715 +1992,16,0,suicide,15-17 yrs,7,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,12.841444969177246 +1992,16,0,homicide,15-17 yrs,1,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,1.8344920873641968 +1992,16,0,other external,15-17 yrs,10,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,18.344921112060547 +1992,16,0,internal,15-17 yrs,13,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,23.848398208618164 +1992,16,0,all,18-20 yrs,48,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,95.270233154296875 +1992,16,0,MVA,18-20 yrs,22,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,43.665523529052734 +1992,16,0,suicide,18-20 yrs,11,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,21.832761764526367 +1992,16,0,homicide,18-20 yrs,3,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,5.954389572143555 +1992,16,0,other external,18-20 yrs,7,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,13.893575668334961 +1992,16,0,internal,18-20 yrs,5,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,9.923982620239258 +1992,16,0,all,21-24 yrs,56,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,97.004974365234375 +1992,16,0,MVA,21-24 yrs,21,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,36.37686538696289 +1992,16,0,suicide,21-24 yrs,14,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,24.251243591308594 +1992,16,0,homicide,21-24 yrs,5,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,8.661158561706543 +1992,16,0,other external,21-24 yrs,11,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,19.054548263549805 +1992,16,0,internal,21-24 yrs,5,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,8.661158561706543 +1993,16,0,MVA,15-17 yrs,23,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,40.05921936035156 +1993,16,0,suicide,15-17 yrs,15,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,26.12557601928711 +1993,16,0,homicide,15-17 yrs,2,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,3.483410358428955 +1993,16,0,other external,15-17 yrs,8,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,13.93364143371582 +1993,16,0,internal,15-17 yrs,8,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,13.93364143371582 +1993,16,0,all,18-20 yrs,47,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,88.6541519165039 +1993,16,0,MVA,18-20 yrs,20,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,37.72517395019531 +1993,16,0,suicide,18-20 yrs,6,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,11.317551612854004 +1993,16,0,homicide,18-20 yrs,1,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,1.886258602142334 +1993,16,0,other external,18-20 yrs,8,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,15.090068817138672 +1993,16,0,internal,18-20 yrs,12,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,22.635103225708008 +1993,16,0,all,21-24 yrs,61,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,98.9906234741211 +1993,16,0,MVA,21-24 yrs,23,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,37.32433319091797 +1993,16,0,suicide,21-24 yrs,20,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,32.45594024658203 +1993,16,0,homicide,21-24 yrs,2,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,3.245594024658203 +1993,16,0,other external,21-24 yrs,5,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,8.113985061645508 +1993,16,0,internal,21-24 yrs,11,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,17.850767135620117 +1994,16,0,MVA,15-17 yrs,23,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,37.62535095214844 +1994,16,0,suicide,15-17 yrs,14,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,22.902387619018555 +1994,16,0,homicide,15-17 yrs,4,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,6.543539047241211 +1994,16,0,other external,15-17 yrs,12,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,19.630617141723633 +1994,16,0,internal,15-17 yrs,9,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,14.722963333129883 +1994,16,0,all,18-20 yrs,43,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,76.818634033203125 +1994,16,0,MVA,18-20 yrs,16,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,28.58367919921875 +1994,16,0,suicide,18-20 yrs,8,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,14.291839599609375 +1994,16,0,homicide,18-20 yrs,3,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,5.359439849853516 +1994,16,0,other external,18-20 yrs,9,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,16.078319549560547 +1994,16,0,internal,18-20 yrs,7,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,12.505359649658203 +1994,16,0,all,21-24 yrs,67,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,103.95816802978516 +1994,16,0,MVA,21-24 yrs,19,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,29.480674743652344 +1994,16,0,suicide,21-24 yrs,12,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,18.619373321533203 +1994,16,0,homicide,21-24 yrs,4,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,6.206457614898682 +1994,16,0,other external,21-24 yrs,18,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,27.929059982299805 +1994,16,0,internal,21-24 yrs,14,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,21.72260284423828 +1995,16,0,MVA,15-17 yrs,24,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,37.737037658691406 +1995,16,0,suicide,15-17 yrs,6,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,9.434259414672852 +1995,16,0,homicide,15-17 yrs,1,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,1.5723764896392822 +1995,16,0,other external,15-17 yrs,14,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,22.01327133178711 +1995,16,0,internal,15-17 yrs,9,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,14.151388168334961 +1995,16,0,all,18-20 yrs,66,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,110.31808471679688 +1995,16,0,MVA,18-20 yrs,34,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,56.830528259277344 +1995,16,0,suicide,18-20 yrs,9,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,15.043375015258789 +1995,16,0,homicide,18-20 yrs,5,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,8.357430458068848 +1995,16,0,other external,18-20 yrs,10,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,16.714860916137695 +1995,16,0,internal,18-20 yrs,8,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,13.371889114379883 +1995,16,0,all,21-24 yrs,64,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,96.08455657958984 +1995,16,0,MVA,21-24 yrs,26,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,39.03435134887695 +1995,16,0,suicide,21-24 yrs,18,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,27.023780822753906 +1995,16,0,homicide,21-24 yrs,2,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,3.0026423931121826 +1995,16,0,other external,21-24 yrs,8,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,12.01056957244873 +1995,16,0,internal,21-24 yrs,10,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,15.013211250305176 +1996,16,0,MVA,15-17 yrs,24,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,36.747257232666016 +1996,16,0,suicide,15-17 yrs,8,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,12.249085426330566 +1996,16,0,homicide,15-17 yrs,4,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,6.124542713165283 +1996,16,0,other external,15-17 yrs,8,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,12.249085426330566 +1996,16,0,internal,15-17 yrs,7,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,10.717949867248535 +1996,16,0,all,18-20 yrs,69,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,111.0753402709961 +1996,16,0,MVA,18-20 yrs,32,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,51.51319885253906 +1996,16,0,suicide,18-20 yrs,12,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,19.31744956970215 +1996,16,0,homicide,18-20 yrs,10,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,16.097875595092773 +1996,16,0,other external,18-20 yrs,9,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,14.48808765411377 +1996,16,0,internal,18-20 yrs,6,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,9.658724784851074 +1996,16,0,all,21-24 yrs,45,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,66.26612854003906 +1996,16,0,MVA,21-24 yrs,20,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,29.451610565185547 +1996,16,0,suicide,21-24 yrs,6,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,8.83548355102539 +1996,16,0,homicide,21-24 yrs,2,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,2.9451611042022705 +1996,16,0,other external,21-24 yrs,7,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,10.308063507080078 +1996,16,0,internal,21-24 yrs,10,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,14.725805282592773 +1970,17,0,MVA,15-17 yrs,158,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.26148796081543 +1970,17,0,suicide,15-17 yrs,19,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,3.037773847579956 +1970,17,0,homicide,15-17 yrs,69,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,11.031915664672852 +1970,17,0,other external,15-17 yrs,113,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,18.066761016845703 +1970,17,0,internal,15-17 yrs,159,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.421371459960938 +1970,17,0,all,18-20 yrs,751,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,133.7176971435547 +1970,17,0,MVA,18-20 yrs,255,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,45.40347671508789 +1970,17,0,suicide,18-20 yrs,44,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,7.834325313568115 +1970,17,0,homicide,18-20 yrs,114,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,20.298025131225586 +1970,17,0,other external,18-20 yrs,144,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.639610290527344 +1970,17,0,internal,18-20 yrs,194,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,34.54225158691406 +1970,17,0,all,21-24 yrs,967,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,144.79689025878906 +1970,17,0,MVA,21-24 yrs,274,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,41.028282165527344 +1970,17,0,suicide,21-24 yrs,63,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,9.433509826660156 +1970,17,0,homicide,21-24 yrs,146,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,21.861785888671875 +1970,17,0,other external,21-24 yrs,181,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,27.102624893188477 +1970,17,0,internal,21-24 yrs,303,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,45.37069320678711 +1971,17,0,MVA,15-17 yrs,170,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,26.543296813964844 +1971,17,0,suicide,15-17 yrs,26,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,4.059563159942627 +1971,17,0,homicide,15-17 yrs,70,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,10.929593086242676 +1971,17,0,other external,15-17 yrs,126,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,19.673267364501953 +1971,17,0,internal,15-17 yrs,162,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,25.294200897216797 +1971,17,0,all,18-20 yrs,767,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,130.7254180908203 +1971,17,0,MVA,18-20 yrs,299,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,50.96075439453125 +1971,17,0,suicide,18-20 yrs,34,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,5.794868469238281 +1971,17,0,homicide,18-20 yrs,108,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,18.407228469848633 +1971,17,0,other external,18-20 yrs,115,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,19.600290298461914 +1971,17,0,internal,18-20 yrs,211,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,35.96227264404297 +1971,17,0,all,21-24 yrs,967,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,135.0145721435547 +1971,17,0,MVA,21-24 yrs,264,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,36.860233306884766 +1971,17,0,suicide,21-24 yrs,62,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,8.6565704345703125 +1971,17,0,homicide,21-24 yrs,150,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,20.943315505981445 +1971,17,0,other external,21-24 yrs,162,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,22.6187801361084 +1971,17,0,internal,21-24 yrs,329,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,45.9356689453125 +1972,17,0,MVA,15-17 yrs,142,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,21.64858627319336 +1972,17,0,suicide,15-17 yrs,26,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,3.9638254642486572 +1972,17,0,homicide,15-17 yrs,64,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,9.757108688354492 +1972,17,0,other external,15-17 yrs,114,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,17.379850387573242 +1972,17,0,internal,15-17 yrs,108,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,16.46512222290039 +1972,17,0,all,18-20 yrs,694,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,115.58902740478516 +1972,17,0,MVA,18-20 yrs,242,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,40.30625915527344 +1972,17,0,suicide,18-20 yrs,46,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,7.661520481109619 +1972,17,0,homicide,18-20 yrs,116,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,19.320356369018555 +1972,17,0,other external,18-20 yrs,120,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,19.986576080322266 +1972,17,0,internal,18-20 yrs,170,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,28.314315795898438 +1972,17,0,all,21-24 yrs,992,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,137.2003936767578 +1972,17,0,MVA,21-24 yrs,280,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,38.72591781616211 +1972,17,0,suicide,21-24 yrs,84,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,11.617774963378906 +1972,17,0,homicide,21-24 yrs,176,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,24.342004776000977 +1972,17,0,other external,21-24 yrs,180,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,24.895233154296875 +1972,17,0,internal,21-24 yrs,272,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,37.61946105957031 +1973,17,0.16642415523529053,MVA,15-17 yrs,176,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,26.397531509399414 +1973,17,0.16642415523529053,suicide,15-17 yrs,31,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,4.64956521987915 +1973,17,0.16642415523529053,homicide,15-17 yrs,54,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,8.0992431640625 +1973,17,0.16642415523529053,other external,15-17 yrs,102,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,15.298569679260254 +1973,17,0.16642415523529053,internal,15-17 yrs,200,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,29.997196197509766 +1973,17,0.16642415523529053,all,18-20 yrs,877,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,144.04464721679688 +1973,17,0.16642415523529053,MVA,18-20 yrs,282,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,46.317665100097656 +1973,17,0.16642415523529053,suicide,18-20 yrs,55,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,9.033586502075195 +1973,17,0.16642415523529053,homicide,18-20 yrs,87,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,14.289491653442383 +1973,17,0.16642415523529053,other external,18-20 yrs,152,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,24.96554946899414 +1973,17,0.16642415523529053,internal,18-20 yrs,301,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,49.438358306884766 +1973,17,0.16642415523529053,all,21-24 yrs,1129,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,152.43553161621094 +1973,17,0.16642415523529053,MVA,21-24 yrs,281,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,37.94010925292969 +1973,17,0.16642415523529053,suicide,21-24 yrs,79,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,10.666436195373535 +1973,17,0.16642415523529053,homicide,21-24 yrs,114,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,15.392072677612305 +1973,17,0.16642415523529053,other external,21-24 yrs,182,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,24.57330894470215 +1973,17,0.16642415523529053,internal,21-24 yrs,473,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,63.86359786987305 +1974,17,0.6637871861457825,MVA,15-17 yrs,173,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,25.605579376220703 +1974,17,0.6637871861457825,suicide,15-17 yrs,11,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,1.6281003952026367 +1974,17,0.6637871861457825,homicide,15-17 yrs,64,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,9.47258472442627 +1974,17,0.6637871861457825,other external,15-17 yrs,94,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,13.912858009338379 +1974,17,0.6637871861457825,internal,15-17 yrs,225,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,33.30205535888672 +1974,17,0.6637871861457825,all,18-20 yrs,827,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,133.11056518554688 +1974,17,0.6637871861457825,MVA,18-20 yrs,239,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,38.46847152709961 +1974,17,0.6637871861457825,suicide,18-20 yrs,42,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,6.760149955749512 +1974,17,0.6637871861457825,homicide,18-20 yrs,98,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,15.773682594299316 +1974,17,0.6637871861457825,other external,18-20 yrs,141,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,22.694787979125977 +1974,17,0.6637871861457825,internal,18-20 yrs,307,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,49.413475036621094 +1974,17,0.6637871861457825,all,21-24 yrs,1042,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,136.34317016601562 +1974,17,0.6637871861457825,MVA,21-24 yrs,187,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,24.468496322631836 +1974,17,0.6637871861457825,suicide,21-24 yrs,69,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,9.028482437133789 +1974,17,0.6637871861457825,homicide,21-24 yrs,148,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,19.365442276000977 +1974,17,0.6637871861457825,other external,21-24 yrs,164,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,21.459003448486328 +1974,17,0.6637871861457825,internal,21-24 yrs,474,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,62.021751403808594 +1975,17,0.6589059233665466,MVA,15-17 yrs,157,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,23.219253540039062 +1975,17,0.6589059233665466,suicide,15-17 yrs,28,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,4.141013145446777 +1975,17,0.6589059233665466,homicide,15-17 yrs,57,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,8.429920196533203 +1975,17,0.6589059233665466,other external,15-17 yrs,122,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,18.042985916137695 +1975,17,0.6589059233665466,internal,15-17 yrs,190,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,28.099733352661133 +1975,17,0.6589059233665466,all,18-20 yrs,837,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,131.32398986816406 +1975,17,0.6589059233665466,MVA,18-20 yrs,250,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,39.224609375 +1975,17,0.6589059233665466,suicide,18-20 yrs,41,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,6.432835578918457 +1975,17,0.6589059233665466,homicide,18-20 yrs,107,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,16.788131713867188 +1975,17,0.6589059233665466,other external,18-20 yrs,144,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,22.593374252319336 +1975,17,0.6589059233665466,internal,18-20 yrs,295,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,46.285037994384766 +1975,17,0.6589059233665466,all,21-24 yrs,1157,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,147.08872985839844 +1975,17,0.6589059233665466,MVA,21-24 yrs,222,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,28.22273063659668 +1975,17,0.6589059233665466,suicide,21-24 yrs,81,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,10.29748249053955 +1975,17,0.6589059233665466,homicide,21-24 yrs,164,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,20.849224090576172 +1975,17,0.6589059233665466,other external,21-24 yrs,247,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,31.40096664428711 +1975,17,0.6589059233665466,internal,21-24 yrs,443,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,56.31833267211914 +1976,17,0.6634537577629089,MVA,15-17 yrs,180,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,26.50356101989746 +1976,17,0.6634537577629089,suicide,15-17 yrs,27,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,3.975534200668335 +1976,17,0.6634537577629089,homicide,15-17 yrs,68,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,10.012456893920898 +1976,17,0.6634537577629089,other external,15-17 yrs,107,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,15.754895210266113 +1976,17,0.6634537577629089,internal,15-17 yrs,131,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,19.28870391845703 +1976,17,0.6634537577629089,all,18-20 yrs,809,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,124.2860107421875 +1976,17,0.6634537577629089,MVA,18-20 yrs,297,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,45.62786865234375 +1976,17,0.6634537577629089,suicide,18-20 yrs,51,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,7.83508825302124 +1976,17,0.6634537577629089,homicide,18-20 yrs,108,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,16.591951370239258 +1976,17,0.6634537577629089,other external,18-20 yrs,160,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,24.580669403076172 +1976,17,0.6634537577629089,internal,18-20 yrs,193,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,29.650432586669922 +1976,17,0.6634537577629089,all,21-24 yrs,1127,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,140.39398193359375 +1976,17,0.6634537577629089,MVA,21-24 yrs,250,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,31.143295288085938 +1976,17,0.6634537577629089,suicide,21-24 yrs,111,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,13.82762336730957 +1976,17,0.6634537577629089,homicide,21-24 yrs,196,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,24.416343688964844 +1976,17,0.6634537577629089,other external,21-24 yrs,252,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,31.392440795898438 +1976,17,0.6634537577629089,internal,21-24 yrs,318,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,39.61427307128906 +1977,17,0.6694338917732239,MVA,15-17 yrs,179,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,26.526613235473633 +1977,17,0.6694338917732239,suicide,15-17 yrs,31,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,4.593994617462158 +1977,17,0.6694338917732239,homicide,15-17 yrs,70,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,10.373536109924316 +1977,17,0.6694338917732239,other external,15-17 yrs,105,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,15.560304641723633 +1977,17,0.6694338917732239,internal,15-17 yrs,162,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,24.007326126098633 +1977,17,0.6694338917732239,all,18-20 yrs,860,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,130.09231567382812 +1977,17,0.6694338917732239,MVA,18-20 yrs,305,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,46.137393951416016 +1977,17,0.6694338917732239,suicide,18-20 yrs,73,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,11.042719841003418 +1977,17,0.6694338917732239,homicide,18-20 yrs,138,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,20.87527847290039 +1977,17,0.6694338917732239,other external,18-20 yrs,166,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,25.110843658447266 +1977,17,0.6694338917732239,internal,18-20 yrs,178,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,26.926084518432617 +1977,17,0.6694338917732239,all,21-24 yrs,1104,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,135.20663452148438 +1977,17,0.6694338917732239,MVA,21-24 yrs,297,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,36.3735237121582 +1977,17,0.6694338917732239,suicide,21-24 yrs,120,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,14.696372985839844 +1977,17,0.6694338917732239,homicide,21-24 yrs,186,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,22.77937889099121 +1977,17,0.6694338917732239,other external,21-24 yrs,212,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,25.963592529296875 +1977,17,0.6694338917732239,internal,21-24 yrs,289,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,35.39376449584961 +1978,17,0.6711009740829468,MVA,15-17 yrs,194,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,29.105878829956055 +1978,17,0.6711009740829468,suicide,15-17 yrs,31,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,4.650939464569092 +1978,17,0.6711009740829468,homicide,15-17 yrs,69,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,10.352090835571289 +1978,17,0.6711009740829468,other external,15-17 yrs,103,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,15.453121185302734 +1978,17,0.6711009740829468,internal,15-17 yrs,135,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,20.254091262817383 +1978,17,0.6711009740829468,all,18-20 yrs,879,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,133.0747528076172 +1978,17,0.6711009740829468,MVA,18-20 yrs,346,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,52.38209915161133 +1978,17,0.6711009740829468,suicide,18-20 yrs,56,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,8.47802734375 +1978,17,0.6711009740829468,homicide,18-20 yrs,125,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,18.92416763305664 +1978,17,0.6711009740829468,other external,18-20 yrs,176,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,26.64522933959961 +1978,17,0.6711009740829468,internal,18-20 yrs,176,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,26.64522933959961 +1978,17,0.6711009740829468,all,21-24 yrs,1085,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,129.79710388183594 +1978,17,0.6711009740829468,MVA,21-24 yrs,316,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,37.80266189575195 +1978,17,0.6711009740829468,suicide,21-24 yrs,120,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,14.355441093444824 +1978,17,0.6711009740829468,homicide,21-24 yrs,200,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,23.925735473632812 +1978,17,0.6711009740829468,other external,21-24 yrs,203,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,24.28462028503418 +1978,17,0.6711009740829468,internal,21-24 yrs,246,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,29.428653717041016 +1979,17,0.6677207350730896,MVA,15-17 yrs,175,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,27.038803100585938 +1979,17,0.6677207350730896,suicide,15-17 yrs,30,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,4.635223388671875 +1979,17,0.6677207350730896,homicide,15-17 yrs,66,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,10.197491645812988 +1979,17,0.6677207350730896,other external,15-17 yrs,95,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,14.678207397460938 +1979,17,0.6677207350730896,internal,15-17 yrs,119,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,18.38638687133789 +1979,17,0.6677207350730896,all,18-20 yrs,789,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,119.71923065185547 +1979,17,0.6677207350730896,MVA,18-20 yrs,281,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,42.63764572143555 +1979,17,0.6677207350730896,suicide,18-20 yrs,68,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,10.318007469177246 +1979,17,0.6677207350730896,homicide,18-20 yrs,151,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,22.912044525146484 +1979,17,0.6677207350730896,other external,18-20 yrs,141,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,21.394691467285156 +1979,17,0.6677207350730896,internal,18-20 yrs,148,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,22.456838607788086 +1979,17,0.6677207350730896,all,21-24 yrs,1156,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,136.0187225341797 +1979,17,0.6677207350730896,MVA,21-24 yrs,322,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,37.887569427490234 +1979,17,0.6677207350730896,suicide,21-24 yrs,102,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,12.001651763916016 +1979,17,0.6677207350730896,homicide,21-24 yrs,232,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,27.297874450683594 +1979,17,0.6677207350730896,other external,21-24 yrs,229,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,26.94488525390625 +1979,17,0.6677207350730896,internal,21-24 yrs,271,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,31.886741638183594 +1980,17,0,MVA,15-17 yrs,154,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,24.56641960144043 +1980,17,0,suicide,15-17 yrs,35,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,5.583276748657227 +1980,17,0,homicide,15-17 yrs,66,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,10.528465270996094 +1980,17,0,other external,15-17 yrs,64,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,10.209421157836914 +1980,17,0,internal,15-17 yrs,113,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,18.02600860595703 +1980,17,0,all,18-20 yrs,717,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,109.85272979736328 +1980,17,0,MVA,18-20 yrs,254,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,38.91575241088867 +1980,17,0,suicide,18-20 yrs,76,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,11.644083023071289 +1980,17,0,homicide,18-20 yrs,134,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,20.530357360839844 +1980,17,0,other external,18-20 yrs,110,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,16.85327911376953 +1980,17,0,internal,18-20 yrs,143,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,21.90926170349121 +1980,17,0,all,21-24 yrs,1086,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,127.0285415649414 +1980,17,0,MVA,21-24 yrs,289,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,33.80409622192383 +1980,17,0,suicide,21-24 yrs,126,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,14.738117218017578 +1980,17,0,homicide,21-24 yrs,247,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,28.891389846801758 +1980,17,0,other external,21-24 yrs,194,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,22.6920223236084 +1980,17,0,internal,21-24 yrs,230,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,26.90291404724121 +1981,17,0,MVA,15-17 yrs,118,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,19.681821823120117 +1981,17,0,suicide,15-17 yrs,36,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,6.0046234130859375 +1981,17,0,homicide,15-17 yrs,84,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,14.010787963867188 +1981,17,0,other external,15-17 yrs,94,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.678739547729492 +1981,17,0,internal,15-17 yrs,92,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.345149040222168 +1981,17,0,all,18-20 yrs,686,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,106.25675964355469 +1981,17,0,MVA,18-20 yrs,246,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,38.103736877441406 +1981,17,0,suicide,18-20 yrs,66,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,10.222952842712402 +1981,17,0,homicide,18-20 yrs,148,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,22.924198150634766 +1981,17,0,other external,18-20 yrs,102,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.79910945892334 +1981,17,0,internal,18-20 yrs,124,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,19.20676040649414 +1981,17,0,all,21-24 yrs,1016,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,119.43597412109375 +1981,17,0,MVA,21-24 yrs,256,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,30.09410285949707 +1981,17,0,suicide,21-24 yrs,128,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.047051429748535 +1981,17,0,homicide,21-24 yrs,226,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,26.56744956970215 +1981,17,0,other external,21-24 yrs,188,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,22.100357055664062 +1981,17,0,internal,21-24 yrs,218,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,25.627010345458984 +1982,17,0,MVA,15-17 yrs,110,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,19.256792068481445 +1982,17,0,suicide,15-17 yrs,22,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,3.851358652114868 +1982,17,0,homicide,15-17 yrs,64,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,11.203951835632324 +1982,17,0,other external,15-17 yrs,50,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,8.753087997436523 +1982,17,0,internal,15-17 yrs,106,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,18.55654525756836 +1982,17,0,all,18-20 yrs,640,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,101.66088104248047 +1982,17,0,MVA,18-20 yrs,194,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,30.815956115722656 +1982,17,0,suicide,18-20 yrs,46,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,7.306876182556152 +1982,17,0,homicide,18-20 yrs,132,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,20.967557907104492 +1982,17,0,other external,18-20 yrs,108,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,17.1552734375 +1982,17,0,internal,18-20 yrs,160,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,25.415220260620117 +1982,17,0,all,21-24 yrs,906,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,107.69905853271484 +1982,17,0,MVA,21-24 yrs,230,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,27.3408203125 +1982,17,0,suicide,21-24 yrs,98,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,11.649566650390625 +1982,17,0,homicide,21-24 yrs,168,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,19.970685958862305 +1982,17,0,other external,21-24 yrs,182,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,21.634910583496094 +1982,17,0,internal,21-24 yrs,228,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,27.103073120117188 +1983,17,0,MVA,15-17 yrs,97,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.73759651184082 +1983,17,0,suicide,15-17 yrs,33,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,6.034440040588379 +1983,17,0,homicide,15-17 yrs,55,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,10.057400703430176 +1983,17,0,other external,15-17 yrs,46,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,8.411643981933594 +1983,17,0,internal,15-17 yrs,98,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.92045783996582 +1983,17,0,all,18-20 yrs,556,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,91.26154327392578 +1983,17,0,MVA,18-20 yrs,185,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,30.365800857543945 +1983,17,0,suicide,18-20 yrs,44,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,7.222136497497559 +1983,17,0,homicide,18-20 yrs,104,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.070505142211914 +1983,17,0,other external,18-20 yrs,88,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,14.444272994995117 +1983,17,0,internal,18-20 yrs,135,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,22.158828735351562 +1983,17,0,all,21-24 yrs,840,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,101.11722564697266 +1983,17,0,MVA,21-24 yrs,194,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,23.35326385498047 +1983,17,0,suicide,21-24 yrs,117,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,14.084184646606445 +1983,17,0,homicide,21-24 yrs,176,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,21.186466217041016 +1983,17,0,other external,21-24 yrs,133,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,16.01022720336914 +1983,17,0,internal,21-24 yrs,220,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,26.483081817626953 +1984,17,0,MVA,15-17 yrs,97,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.03473472595215 +1984,17,0,suicide,15-17 yrs,26,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,4.834052562713623 +1984,17,0,homicide,15-17 yrs,61,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,11.3414306640625 +1984,17,0,other external,15-17 yrs,35,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,6.507378578186035 +1984,17,0,internal,15-17 yrs,72,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,13.38660717010498 +1984,17,0,all,18-20 yrs,487,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,83.53516387939453 +1984,17,0,MVA,18-20 yrs,185,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,31.73307228088379 +1984,17,0,suicide,18-20 yrs,49,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,8.404975891113281 +1984,17,0,homicide,18-20 yrs,107,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.353721618652344 +1984,17,0,other external,18-20 yrs,56,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,9.60568618774414 +1984,17,0,internal,18-20 yrs,90,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,15.437710762023926 +1984,17,0,all,21-24 yrs,777,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,94.4328384399414 +1984,17,0,MVA,21-24 yrs,226,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,27.466951370239258 +1984,17,0,suicide,21-24 yrs,109,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,13.247335433959961 +1984,17,0,homicide,21-24 yrs,154,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.716419219970703 +1984,17,0,other external,21-24 yrs,103,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,12.518123626708984 +1984,17,0,internal,21-24 yrs,185,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,22.4840087890625 +1985,17,0,MVA,15-17 yrs,78,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,14.534477233886719 +1985,17,0,suicide,15-17 yrs,42,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.826257228851318 +1985,17,0,homicide,15-17 yrs,43,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,8.012596130371094 +1985,17,0,other external,15-17 yrs,40,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.453577995300293 +1985,17,0,internal,15-17 yrs,89,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,16.584211349487305 +1985,17,0,all,18-20 yrs,472,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,84.925994873046875 +1985,17,0,MVA,18-20 yrs,158,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,28.428617477416992 +1985,17,0,suicide,18-20 yrs,67,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,12.05517292022705 +1985,17,0,homicide,18-20 yrs,89,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,16.013587951660156 +1985,17,0,other external,18-20 yrs,44,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.916830062866211 +1985,17,0,internal,18-20 yrs,114,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,20.51178741455078 +1985,17,0,all,21-24 yrs,791,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,97.55267333984375 +1985,17,0,MVA,21-24 yrs,234,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,28.85881805419922 +1985,17,0,suicide,21-24 yrs,118,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,14.55273723602295 +1985,17,0,homicide,21-24 yrs,145,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,17.882600784301758 +1985,17,0,other external,21-24 yrs,112,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,13.81276798248291 +1985,17,0,internal,21-24 yrs,182,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,22.44574737548828 +1986,17,0,MVA,15-17 yrs,115,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,21.07354164123535 +1986,17,0,suicide,15-17 yrs,37,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,6.780182838439941 +1986,17,0,homicide,15-17 yrs,68,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,12.46087646484375 +1986,17,0,other external,15-17 yrs,40,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,7.329927444458008 +1986,17,0,internal,15-17 yrs,83,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,15.209599494934082 +1986,17,0,all,18-20 yrs,508,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,95.60931396484375 +1986,17,0,MVA,18-20 yrs,169,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,31.807035446166992 +1986,17,0,suicide,18-20 yrs,64,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,12.045268058776855 +1986,17,0,homicide,18-20 yrs,99,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,18.632522583007812 +1986,17,0,other external,18-20 yrs,74,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,13.927340507507324 +1986,17,0,internal,18-20 yrs,102,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,19.197145462036133 +1986,17,0,all,21-24 yrs,851,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,108.01151275634766 +1986,17,0,MVA,21-24 yrs,244,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,30.969223022460938 +1986,17,0,suicide,21-24 yrs,105,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,13.326919555664062 +1986,17,0,homicide,21-24 yrs,153,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,19.419225692749023 +1986,17,0,other external,21-24 yrs,112,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,14.215380668640137 +1986,17,0,internal,21-24 yrs,237,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,30.080760955810547 +1987,17,0,MVA,15-17 yrs,113,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,21.027284622192383 +1987,17,0,suicide,15-17 yrs,44,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,8.187615394592285 +1987,17,0,homicide,15-17 yrs,46,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,8.55978012084961 +1987,17,0,other external,15-17 yrs,40,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,7.443286895751953 +1987,17,0,internal,15-17 yrs,90,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,16.747394561767578 +1987,17,0,all,18-20 yrs,464,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,88.9037094116211 +1987,17,0,MVA,18-20 yrs,154,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,29.506834030151367 +1987,17,0,suicide,18-20 yrs,57,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,10.92136001586914 +1987,17,0,homicide,18-20 yrs,96,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,18.393869400024414 +1987,17,0,other external,18-20 yrs,51,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,9.7717437744140625 +1987,17,0,internal,18-20 yrs,106,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,20.309898376464844 +1987,17,0,all,21-24 yrs,769,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,101.35517883300781 +1987,17,0,MVA,21-24 yrs,232,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,30.577896118164062 +1987,17,0,suicide,21-24 yrs,96,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,12.652922630310059 +1987,17,0,homicide,21-24 yrs,158,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,20.824602127075195 +1987,17,0,other external,21-24 yrs,85,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,11.203108787536621 +1987,17,0,internal,21-24 yrs,198,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,26.09665298461914 +1988,17,0,MVA,15-17 yrs,112,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,21.820789337158203 +1988,17,0,suicide,15-17 yrs,46,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,8.962109565734863 +1988,17,0,homicide,15-17 yrs,56,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,10.910394668579102 +1988,17,0,other external,15-17 yrs,34,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,6.6241679191589355 +1988,17,0,internal,15-17 yrs,70,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,13.637992858886719 +1988,17,0,all,18-20 yrs,557,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,106.5598373413086 +1988,17,0,MVA,18-20 yrs,215,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,41.1317138671875 +1988,17,0,suicide,18-20 yrs,58,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,11.09599781036377 +1988,17,0,homicide,18-20 yrs,105,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,20.087581634521484 +1988,17,0,other external,18-20 yrs,57,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,10.90468692779541 +1988,17,0,internal,18-20 yrs,122,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,23.33985710144043 +1988,17,0,all,21-24 yrs,775,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,106.03945922851562 +1988,17,0,MVA,21-24 yrs,222,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,30.375173568725586 +1988,17,0,suicide,21-24 yrs,97,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,13.272035598754883 +1988,17,0,homicide,21-24 yrs,154,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,21.071067810058594 +1988,17,0,other external,21-24 yrs,121,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,16.555837631225586 +1988,17,0,internal,21-24 yrs,181,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,24.765344619750977 +1989,17,0,MVA,15-17 yrs,119,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,24.763755798339844 +1989,17,0,suicide,15-17 yrs,36,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,7.491556167602539 +1989,17,0,homicide,15-17 yrs,80,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,16.647903442382812 +1989,17,0,other external,15-17 yrs,36,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,7.491556167602539 +1989,17,0,internal,15-17 yrs,85,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,17.688396453857422 +1989,17,0,all,18-20 yrs,497,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,93.1824951171875 +1989,17,0,MVA,18-20 yrs,180,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,33.74818420410156 +1989,17,0,suicide,18-20 yrs,57,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,10.686925888061523 +1989,17,0,homicide,18-20 yrs,117,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,21.936321258544922 +1989,17,0,other external,18-20 yrs,49,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,9.187005996704102 +1989,17,0,internal,18-20 yrs,94,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,17.624052047729492 +1989,17,0,all,21-24 yrs,709,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,100.85262298583984 +1989,17,0,MVA,21-24 yrs,192,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,27.311288833618164 +1989,17,0,suicide,21-24 yrs,95,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,13.513398170471191 +1989,17,0,homicide,21-24 yrs,161,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,22.901653289794922 +1989,17,0,other external,21-24 yrs,77,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,10.952964782714844 +1989,17,0,internal,21-24 yrs,184,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,26.17331886291504 +1990,17,0,MVA,15-17 yrs,110,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,23.763540267944336 +1990,17,0,suicide,15-17 yrs,29,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,6.264933109283447 +1990,17,0,homicide,15-17 yrs,106,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,22.899410247802734 +1990,17,0,other external,15-17 yrs,30,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,6.480965614318848 +1990,17,0,internal,15-17 yrs,58,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,12.529866218566895 +1990,17,0,all,18-20 yrs,542,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,101.66337585449219 +1990,17,0,MVA,18-20 yrs,133,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,24.946916580200195 +1990,17,0,suicide,18-20 yrs,63,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,11.816961288452148 +1990,17,0,homicide,18-20 yrs,179,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,33.57517623901367 +1990,17,0,other external,18-20 yrs,59,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,11.066678047180176 +1990,17,0,internal,18-20 yrs,108,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,20.257646560668945 +1990,17,0,all,21-24 yrs,703,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,102.61141204833984 +1990,17,0,MVA,21-24 yrs,177,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,25.835304260253906 +1990,17,0,suicide,21-24 yrs,94,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,13.720444679260254 +1990,17,0,homicide,21-24 yrs,191,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,27.878774642944336 +1990,17,0,other external,21-24 yrs,65,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,9.487541198730469 +1990,17,0,internal,21-24 yrs,176,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,25.689342498779297 +1991,17,0,MVA,15-17 yrs,76,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,16.519943237304688 +1991,17,0,suicide,15-17 yrs,35,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,7.607868671417236 +1991,17,0,homicide,15-17 yrs,107,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,23.25834083557129 +1991,17,0,other external,15-17 yrs,38,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,8.259971618652344 +1991,17,0,internal,15-17 yrs,85,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,18.476253509521484 +1991,17,0,all,18-20 yrs,595,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,115.78533935546875 +1991,17,0,MVA,18-20 yrs,155,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,30.162567138671875 +1991,17,0,suicide,18-20 yrs,70,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,13.621804237365723 +1991,17,0,homicide,18-20 yrs,204,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,39.69783020019531 +1991,17,0,other external,18-20 yrs,58,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,11.286638259887695 +1991,17,0,internal,18-20 yrs,108,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,21.016498565673828 +1991,17,0,all,21-24 yrs,745,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,110.10839080810547 +1991,17,0,MVA,21-24 yrs,180,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,26.603370666503906 +1991,17,0,suicide,21-24 yrs,94,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,13.892870903015137 +1991,17,0,homicide,21-24 yrs,192,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,28.376928329467773 +1991,17,0,other external,21-24 yrs,99,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,14.631854057312012 +1991,17,0,internal,21-24 yrs,180,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,26.603370666503906 +1992,17,0,MVA,15-17 yrs,92,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,19.64129066467285 +1992,17,0,suicide,15-17 yrs,27,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,5.764291763305664 +1992,17,0,homicide,15-17 yrs,121,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,25.83256721496582 +1992,17,0,other external,15-17 yrs,28,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,5.977784156799316 +1992,17,0,internal,15-17 yrs,70,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,14.944459915161133 +1992,17,0,all,18-20 yrs,492,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,100.55982208251953 +1992,17,0,MVA,18-20 yrs,115,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,23.504837036132812 +1992,17,0,suicide,18-20 yrs,51,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,10.423884391784668 +1992,17,0,homicide,18-20 yrs,186,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,38.016517639160156 +1992,17,0,other external,18-20 yrs,37,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,7.56242561340332 +1992,17,0,internal,18-20 yrs,103,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,21.05215835571289 +1992,17,0,all,21-24 yrs,757,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,111.4339828491211 +1992,17,0,MVA,21-24 yrs,149,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,21.933504104614258 +1992,17,0,suicide,21-24 yrs,83,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,12.217992782592773 +1992,17,0,homicide,21-24 yrs,226,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,33.26826858520508 +1992,17,0,other external,21-24 yrs,86,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,12.65960693359375 +1992,17,0,internal,21-24 yrs,213,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,31.35460662841797 +1993,17,0,MVA,15-17 yrs,96,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,20.268001556396484 +1993,17,0,suicide,15-17 yrs,28,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,5.911500453948975 +1993,17,0,homicide,15-17 yrs,142,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,29.979753494262695 +1993,17,0,other external,15-17 yrs,38,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,8.0227508544921875 +1993,17,0,internal,15-17 yrs,66,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,13.93425178527832 +1993,17,0,all,18-20 yrs,551,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,115.13371276855469 +1993,17,0,MVA,18-20 yrs,121,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,25.283445358276367 +1993,17,0,suicide,18-20 yrs,55,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,11.492475509643555 +1993,17,0,homicide,18-20 yrs,200,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,41.79082107543945 +1993,17,0,other external,18-20 yrs,62,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,12.955154418945312 +1993,17,0,internal,18-20 yrs,113,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,23.611812591552734 +1993,17,0,all,21-24 yrs,737,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,108.83706665039062 +1993,17,0,MVA,21-24 yrs,151,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,22.29904556274414 +1993,17,0,suicide,21-24 yrs,81,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,11.961740493774414 +1993,17,0,homicide,21-24 yrs,202,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,29.83051300048828 +1993,17,0,other external,21-24 yrs,99,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,14.619904518127441 +1993,17,0,internal,21-24 yrs,204,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,30.125864028930664 +1994,17,0,MVA,15-17 yrs,121,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,24.899578094482422 +1994,17,0,suicide,15-17 yrs,35,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,7.202357292175293 +1994,17,0,homicide,15-17 yrs,160,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,32.92506408691406 +1994,17,0,other external,15-17 yrs,30,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,6.1734490394592285 +1994,17,0,internal,15-17 yrs,57,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,11.72955322265625 +1994,17,0,all,18-20 yrs,549,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,115.64005279541016 +1994,17,0,MVA,18-20 yrs,143,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,30.121179580688477 +1994,17,0,suicide,18-20 yrs,52,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,10.953156471252441 +1994,17,0,homicide,18-20 yrs,209,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,44.02326202392578 +1994,17,0,other external,18-20 yrs,42,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,8.846779823303223 +1994,17,0,internal,18-20 yrs,103,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,21.695674896240234 +1994,17,0,all,21-24 yrs,769,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,115.47552490234375 +1994,17,0,MVA,21-24 yrs,184,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,27.630033493041992 +1994,17,0,suicide,21-24 yrs,81,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,12.16322135925293 +1994,17,0,homicide,21-24 yrs,231,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,34.687705993652344 +1994,17,0,other external,21-24 yrs,76,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,11.412405014038086 +1994,17,0,internal,21-24 yrs,197,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,29.582155227661133 +1995,17,0,MVA,15-17 yrs,107,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,21.349103927612305 +1995,17,0,suicide,15-17 yrs,42,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.380022048950195 +1995,17,0,homicide,15-17 yrs,129,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,25.73863983154297 +1995,17,0,other external,15-17 yrs,24,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,4.788584232330322 +1995,17,0,internal,15-17 yrs,74,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,14.764801025390625 +1995,17,0,all,18-20 yrs,508,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,105.24919891357422 +1995,17,0,MVA,18-20 yrs,149,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,30.870336532592773 +1995,17,0,suicide,18-20 yrs,48,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,9.944806098937988 +1995,17,0,homicide,18-20 yrs,180,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,37.29302215576172 +1995,17,0,other external,18-20 yrs,41,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.4945220947265625 +1995,17,0,internal,18-20 yrs,90,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,18.64651107788086 +1995,17,0,all,21-24 yrs,703,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,108.98633575439453 +1995,17,0,MVA,21-24 yrs,166,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,25.735036849975586 +1995,17,0,suicide,21-24 yrs,88,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,13.642670631408691 +1995,17,0,homicide,21-24 yrs,192,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,29.765827178955078 +1995,17,0,other external,21-24 yrs,57,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.836730003356934 +1995,17,0,internal,21-24 yrs,200,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,31.00606918334961 +1996,17,0,MVA,15-17 yrs,86,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,16.692644119262695 +1996,17,0,suicide,15-17 yrs,30,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,5.823015213012695 +1996,17,0,homicide,15-17 yrs,124,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,24.068462371826172 +1996,17,0,other external,15-17 yrs,30,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,5.823015213012695 +1996,17,0,internal,15-17 yrs,101,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,19.604150772094727 +1996,17,0,all,18-20 yrs,480,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,98.43952941894531 +1996,17,0,MVA,18-20 yrs,114,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,23.3793888092041 +1996,17,0,suicide,18-20 yrs,35,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,7.177882194519043 +1996,17,0,homicide,18-20 yrs,189,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,38.760562896728516 +1996,17,0,other external,18-20 yrs,36,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,7.382964611053467 +1996,17,0,internal,18-20 yrs,106,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,21.73872947692871 +1996,17,0,all,21-24 yrs,672,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,107.74462890625 +1996,17,0,MVA,21-24 yrs,163,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,26.134485244750977 +1996,17,0,suicide,21-24 yrs,64,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,10.261392593383789 +1996,17,0,homicide,21-24 yrs,213,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,34.15119934082031 +1996,17,0,other external,21-24 yrs,62,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,9.94072437286377 +1996,17,0,internal,21-24 yrs,170,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,27.256824493408203 +1970,18,0,MVA,15-17 yrs,139,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,44.84290313720703 +1970,18,0,suicide,15-17 yrs,13,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,4.19394063949585 +1970,18,0,homicide,15-17 yrs,17,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,5.484384059906006 +1970,18,0,other external,15-17 yrs,59,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,19.034038543701172 +1970,18,0,internal,15-17 yrs,74,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,23.873201370239258 +1970,18,0,all,18-20 yrs,382,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,135.5489501953125 +1970,18,0,MVA,18-20 yrs,171,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,60.67767333984375 +1970,18,0,suicide,18-20 yrs,22,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,7.806484222412109 +1970,18,0,homicide,18-20 yrs,22,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,7.806484222412109 +1970,18,0,other external,18-20 yrs,60,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,21.2904109954834 +1970,18,0,internal,18-20 yrs,107,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,37.967899322509766 +1970,18,0,all,21-24 yrs,457,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,140.10540771484375 +1970,18,0,MVA,21-24 yrs,183,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,56.103477478027344 +1970,18,0,suicide,21-24 yrs,39,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,11.956478118896484 +1970,18,0,homicide,21-24 yrs,35,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,10.730173110961914 +1970,18,0,other external,21-24 yrs,66,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,20.234041213989258 +1970,18,0,internal,21-24 yrs,134,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,41.081233978271484 +1971,18,0,MVA,15-17 yrs,120,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,38.19770431518555 +1971,18,0,suicide,15-17 yrs,8,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,2.546513557434082 +1971,18,0,homicide,15-17 yrs,10,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,3.1831421852111816 +1971,18,0,other external,15-17 yrs,55,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,17.507282257080078 +1971,18,0,internal,15-17 yrs,67,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,21.327051162719727 +1971,18,0,all,18-20 yrs,397,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,135.11444091796875 +1971,18,0,MVA,18-20 yrs,185,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,62.962646484375 +1971,18,0,suicide,18-20 yrs,23,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,7.827788829803467 +1971,18,0,homicide,18-20 yrs,24,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,8.168127059936523 +1971,18,0,other external,18-20 yrs,52,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,17.697608947753906 +1971,18,0,internal,18-20 yrs,113,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,38.45826721191406 +1971,18,0,all,21-24 yrs,444,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,124.8309555053711 +1971,18,0,MVA,21-24 yrs,169,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,47.51448440551758 +1971,18,0,suicide,21-24 yrs,46,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,12.932936668395996 +1971,18,0,homicide,21-24 yrs,40,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,11.24603271484375 +1971,18,0,other external,21-24 yrs,54,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,15.182143211364746 +1971,18,0,internal,21-24 yrs,135,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,37.955360412597656 +1972,18,0,MVA,15-17 yrs,96,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,29.996625900268555 +1972,18,0,suicide,15-17 yrs,8,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,2.49971866607666 +1972,18,0,homicide,15-17 yrs,20,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,6.249297142028809 +1972,18,0,other external,15-17 yrs,62,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,19.372819900512695 +1972,18,0,internal,15-17 yrs,82,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,25.62211799621582 +1972,18,0,all,18-20 yrs,342,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,112.16719055175781 +1972,18,0,MVA,18-20 yrs,174,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,57.0675163269043 +1972,18,0,suicide,18-20 yrs,16,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,5.24758768081665 +1972,18,0,homicide,18-20 yrs,22,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,7.215433120727539 +1972,18,0,other external,18-20 yrs,46,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,15.086814880371094 +1972,18,0,internal,18-20 yrs,84,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,27.549835205078125 +1972,18,0,all,21-24 yrs,388,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,108.70113372802734 +1972,18,0,MVA,21-24 yrs,176,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,49.30773162841797 +1972,18,0,suicide,21-24 yrs,22,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,6.163466453552246 +1972,18,0,homicide,21-24 yrs,42,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,11.766617774963379 +1972,18,0,other external,21-24 yrs,62,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,17.369768142700195 +1972,18,0,internal,21-24 yrs,86,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,24.093549728393555 +1973,18,0,MVA,15-17 yrs,135,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,41.545875549316406 +1973,18,0,suicide,15-17 yrs,14,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,4.3084611892700195 +1973,18,0,homicide,15-17 yrs,23,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,7.07818603515625 +1973,18,0,other external,15-17 yrs,63,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,19.38807487487793 +1973,18,0,internal,15-17 yrs,74,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,22.77329444885254 +1973,18,0,all,18-20 yrs,428,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,137.8066864013672 +1973,18,0,MVA,18-20 yrs,194,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,62.463775634765625 +1973,18,0,suicide,18-20 yrs,35,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,11.269238471984863 +1973,18,0,homicide,18-20 yrs,27,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,8.693412780761719 +1973,18,0,other external,18-20 yrs,74,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,23.82638931274414 +1973,18,0,internal,18-20 yrs,98,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,31.55386734008789 +1973,18,0,all,21-24 yrs,479,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,131.73672485351562 +1973,18,0,MVA,21-24 yrs,193,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,53.0797233581543 +1973,18,0,suicide,21-24 yrs,47,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,12.92615032196045 +1973,18,0,homicide,21-24 yrs,49,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,13.47619915008545 +1973,18,0,other external,21-24 yrs,67,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,18.426639556884766 +1973,18,0,internal,21-24 yrs,123,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,33.82801055908203 +1974,18,0,MVA,15-17 yrs,104,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,31.71466636657715 +1974,18,0,suicide,15-17 yrs,11,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,3.354435682296753 +1974,18,0,homicide,15-17 yrs,15,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,4.574230670928955 +1974,18,0,other external,15-17 yrs,50,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,15.247435569763184 +1974,18,0,internal,15-17 yrs,55,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,16.772178649902344 +1974,18,0,all,18-20 yrs,354,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,111.997314453125 +1974,18,0,MVA,18-20 yrs,143,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,45.24185562133789 +1974,18,0,suicide,18-20 yrs,23,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,7.2766618728637695 +1974,18,0,homicide,18-20 yrs,30,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,9.491297721862793 +1974,18,0,other external,18-20 yrs,73,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,23.095491409301758 +1974,18,0,internal,18-20 yrs,85,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,26.892011642456055 +1974,18,0,all,21-24 yrs,453,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,122.07412719726562 +1974,18,0,MVA,21-24 yrs,151,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,40.691375732421875 +1974,18,0,suicide,21-24 yrs,40,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,10.779172897338867 +1974,18,0,homicide,21-24 yrs,62,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,16.707717895507812 +1974,18,0,other external,21-24 yrs,83,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,22.366783142089844 +1974,18,0,internal,21-24 yrs,117,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,31.52907943725586 +1975,18,0,MVA,15-17 yrs,100,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,30.776805877685547 +1975,18,0,suicide,15-17 yrs,12,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,3.6932168006896973 +1975,18,0,homicide,15-17 yrs,19,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,5.847593307495117 +1975,18,0,other external,15-17 yrs,64,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,19.69715690612793 +1975,18,0,internal,15-17 yrs,67,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,20.620460510253906 +1975,18,0,all,18-20 yrs,368,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,114.8797378540039 +1975,18,0,MVA,18-20 yrs,147,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,45.88945770263672 +1975,18,0,suicide,18-20 yrs,28,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,8.740849494934082 +1975,18,0,homicide,18-20 yrs,45,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,14.0477933883667 +1975,18,0,other external,18-20 yrs,80,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,24.97385597229004 +1975,18,0,internal,18-20 yrs,68,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,21.2277774810791 +1975,18,0,all,21-24 yrs,450,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,118.6549301147461 +1975,18,0,MVA,21-24 yrs,141,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,37.17854309082031 +1975,18,0,suicide,21-24 yrs,50,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,13.183880805969238 +1975,18,0,homicide,21-24 yrs,71,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,18.721111297607422 +1975,18,0,other external,21-24 yrs,75,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,19.775821685791016 +1975,18,0,internal,21-24 yrs,113,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,29.795570373535156 +1976,18,0,MVA,15-17 yrs,97,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,29.833486557006836 +1976,18,0,suicide,15-17 yrs,15,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,4.6134257316589355 +1976,18,0,homicide,15-17 yrs,10,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,3.0756170749664307 +1976,18,0,other external,15-17 yrs,56,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,17.22345542907715 +1976,18,0,internal,15-17 yrs,71,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,21.836881637573242 +1976,18,0,all,18-20 yrs,385,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,118.66930389404297 +1976,18,0,MVA,18-20 yrs,181,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,55.789981842041016 +1976,18,0,suicide,18-20 yrs,27,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,8.32226276397705 +1976,18,0,homicide,18-20 yrs,28,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,8.630495071411133 +1976,18,0,other external,18-20 yrs,67,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,20.651540756225586 +1976,18,0,internal,18-20 yrs,82,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,25.275020599365234 +1976,18,0,all,21-24 yrs,461,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,119.11283111572266 +1976,18,0,MVA,21-24 yrs,190,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,49.09205627441406 +1976,18,0,suicide,21-24 yrs,44,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,11.36868667602539 +1976,18,0,homicide,21-24 yrs,45,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,11.627065658569336 +1976,18,0,other external,21-24 yrs,78,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,20.153579711914062 +1976,18,0,internal,21-24 yrs,104,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,26.871440887451172 +1977,18,0,MVA,15-17 yrs,143,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,44.11442565917969 +1977,18,0,suicide,15-17 yrs,14,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,4.318894863128662 +1977,18,0,homicide,15-17 yrs,17,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,5.244372367858887 +1977,18,0,other external,15-17 yrs,33,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,10.180252075195312 +1977,18,0,internal,15-17 yrs,61,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,18.818042755126953 +1977,18,0,all,18-20 yrs,408,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,123.91423034667969 +1977,18,0,MVA,18-20 yrs,170,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,51.63093185424805 +1977,18,0,suicide,18-20 yrs,39,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,11.844742774963379 +1977,18,0,homicide,18-20 yrs,37,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,11.237319946289062 +1977,18,0,other external,18-20 yrs,86,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,26.119176864624023 +1977,18,0,internal,18-20 yrs,76,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,23.082063674926758 +1977,18,0,all,21-24 yrs,476,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,120.93035125732422 +1977,18,0,MVA,21-24 yrs,190,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,48.2705192565918 +1977,18,0,suicide,21-24 yrs,60,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,15.243321418762207 +1977,18,0,homicide,21-24 yrs,56,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,14.227100372314453 +1977,18,0,other external,21-24 yrs,76,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,19.30820655822754 +1977,18,0,internal,21-24 yrs,94,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,23.88120460510254 +1978,18,0,MVA,15-17 yrs,126,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,38.92877960205078 +1978,18,0,suicide,15-17 yrs,21,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,6.488129615783691 +1978,18,0,homicide,15-17 yrs,15,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,4.634378433227539 +1978,18,0,other external,15-17 yrs,46,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,14.2120943069458 +1978,18,0,internal,15-17 yrs,53,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,16.37480354309082 +1978,18,0,all,18-20 yrs,390,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,118.28971099853516 +1978,18,0,MVA,18-20 yrs,187,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,56.71839904785156 +1978,18,0,suicide,18-20 yrs,31,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,9.402515411376953 +1978,18,0,homicide,18-20 yrs,31,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,9.402515411376953 +1978,18,0,other external,18-20 yrs,72,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,21.83810043334961 +1978,18,0,internal,18-20 yrs,69,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,20.928180694580078 +1978,18,0,all,21-24 yrs,494,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,122.59007263183594 +1978,18,0,MVA,21-24 yrs,196,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,48.63897705078125 +1978,18,0,suicide,21-24 yrs,65,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,16.130273818969727 +1978,18,0,homicide,21-24 yrs,62,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,15.385798454284668 +1978,18,0,other external,21-24 yrs,80,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,19.852643966674805 +1978,18,0,internal,21-24 yrs,91,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,22.582382202148438 +1979,18,0,MVA,15-17 yrs,132,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,41.363101959228516 +1979,18,0,suicide,15-17 yrs,12,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,3.760282039642334 +1979,18,0,homicide,15-17 yrs,13,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,4.073638916015625 +1979,18,0,other external,15-17 yrs,54,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,16.921268463134766 +1979,18,0,internal,15-17 yrs,57,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,17.861339569091797 +1979,18,0,all,18-20 yrs,384,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,116.00016784667969 +1979,18,0,MVA,18-20 yrs,175,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,52.864662170410156 +1979,18,0,suicide,18-20 yrs,41,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,12.385435104370117 +1979,18,0,homicide,18-20 yrs,37,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,11.177099227905273 +1979,18,0,other external,18-20 yrs,79,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,23.8646183013916 +1979,18,0,internal,18-20 yrs,52,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,15.708355903625488 +1979,18,0,all,21-24 yrs,518,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,126.62064361572266 +1979,18,0,MVA,21-24 yrs,195,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,47.666072845458984 +1979,18,0,suicide,21-24 yrs,66,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,16.133132934570312 +1979,18,0,homicide,21-24 yrs,64,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,15.64424991607666 +1979,18,0,other external,21-24 yrs,80,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,19.555313110351562 +1979,18,0,internal,21-24 yrs,113,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,27.621877670288086 +1980,18,0,MVA,15-17 yrs,89,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,28.808835983276367 +1980,18,0,suicide,15-17 yrs,19,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,6.150200843811035 +1980,18,0,homicide,15-17 yrs,19,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,6.150200843811035 +1980,18,0,other external,15-17 yrs,39,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,12.624096870422363 +1980,18,0,internal,15-17 yrs,58,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,18.7742977142334 +1980,18,0,all,18-20 yrs,331,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,101.84239196777344 +1980,18,0,MVA,18-20 yrs,151,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,46.45982360839844 +1980,18,0,suicide,18-20 yrs,30,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,9.230428695678711 +1980,18,0,homicide,18-20 yrs,30,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,9.230428695678711 +1980,18,0,other external,18-20 yrs,52,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,15.999409675598145 +1980,18,0,internal,18-20 yrs,68,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,20.922304153442383 +1980,18,0,all,21-24 yrs,476,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,115.65384674072266 +1980,18,0,MVA,21-24 yrs,181,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,43.97761917114258 +1980,18,0,suicide,21-24 yrs,49,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,11.905543327331543 +1980,18,0,homicide,21-24 yrs,65,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,15.79306697845459 +1980,18,0,other external,21-24 yrs,78,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,18.95168113708496 +1980,18,0,internal,21-24 yrs,103,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,25.025936126708984 +1981,18,0,MVA,15-17 yrs,100,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,33.990482330322266 +1981,18,0,suicide,15-17 yrs,18,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,6.118287086486816 +1981,18,0,homicide,15-17 yrs,8,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,2.719238519668579 +1981,18,0,other external,15-17 yrs,34,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,11.556763648986816 +1981,18,0,internal,15-17 yrs,62,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,21.074098587036133 +1981,18,0,all,18-20 yrs,302,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,94.94944763183594 +1981,18,0,MVA,18-20 yrs,138,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,43.38749313354492 +1981,18,0,suicide,18-20 yrs,28,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,8.80325984954834 +1981,18,0,homicide,18-20 yrs,30,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,9.432064056396484 +1981,18,0,other external,18-20 yrs,52,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.34891128540039 +1981,18,0,internal,18-20 yrs,54,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.97771453857422 +1981,18,0,all,21-24 yrs,490,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,118.3780746459961 +1981,18,0,MVA,21-24 yrs,182,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,43.968997955322266 +1981,18,0,suicide,21-24 yrs,76,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,18.360681533813477 +1981,18,0,homicide,21-24 yrs,64,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,15.461626052856445 +1981,18,0,other external,21-24 yrs,68,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.427978515625 +1981,18,0,internal,21-24 yrs,100,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,24.158790588378906 +1982,18,0,MVA,15-17 yrs,60,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,21.538803100585938 +1982,18,0,suicide,15-17 yrs,12,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,4.307760715484619 +1982,18,0,homicide,15-17 yrs,6,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,2.1538803577423096 +1982,18,0,other external,15-17 yrs,30,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,10.769401550292969 +1982,18,0,internal,15-17 yrs,50,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,17.949003219604492 +1982,18,0,all,18-20 yrs,306,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,98.91228485107422 +1982,18,0,MVA,18-20 yrs,122,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,39.43561935424805 +1982,18,0,suicide,18-20 yrs,54,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,17.455110549926758 +1982,18,0,homicide,18-20 yrs,30,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,9.697282791137695 +1982,18,0,other external,18-20 yrs,42,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,13.576196670532227 +1982,18,0,internal,18-20 yrs,58,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,18.74808120727539 +1982,18,0,all,21-24 yrs,420,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,101.5387954711914 +1982,18,0,MVA,21-24 yrs,142,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,34.32978439331055 +1982,18,0,suicide,21-24 yrs,64,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,15.472578048706055 +1982,18,0,homicide,21-24 yrs,52,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,12.571470260620117 +1982,18,0,other external,21-24 yrs,52,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,12.571470260620117 +1982,18,0,internal,21-24 yrs,110,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,26.593494415283203 +1983,18,0,MVA,15-17 yrs,66,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,24.901714324951172 +1983,18,0,suicide,15-17 yrs,20,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,7.545973777770996 +1983,18,0,homicide,15-17 yrs,8,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,3.0183894634246826 +1983,18,0,other external,15-17 yrs,15,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,5.659480571746826 +1983,18,0,internal,15-17 yrs,37,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,13.960051536560059 +1983,18,0,all,18-20 yrs,315,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,105.03256225585938 +1983,18,0,MVA,18-20 yrs,141,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,47.01457595825195 +1983,18,0,suicide,18-20 yrs,32,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.669974327087402 +1983,18,0,homicide,18-20 yrs,31,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.33653736114502 +1983,18,0,other external,18-20 yrs,32,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.669974327087402 +1983,18,0,internal,18-20 yrs,79,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,26.34149932861328 +1983,18,0,all,21-24 yrs,417,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,102.28134155273438 +1983,18,0,MVA,21-24 yrs,154,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,37.77296447753906 +1983,18,0,suicide,21-24 yrs,51,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.509228706359863 +1983,18,0,homicide,21-24 yrs,52,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.754508018493652 +1983,18,0,other external,21-24 yrs,53,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.999786376953125 +1983,18,0,internal,21-24 yrs,107,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,26.24485206604004 +1984,18,0,MVA,15-17 yrs,81,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,31.039714813232422 +1984,18,0,suicide,15-17 yrs,21,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,8.047333717346191 +1984,18,0,homicide,15-17 yrs,11,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,4.215270042419434 +1984,18,0,other external,15-17 yrs,28,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,10.729778289794922 +1984,18,0,internal,15-17 yrs,32,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.262603759765625 +1984,18,0,all,18-20 yrs,256,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,88.34989166259766 +1984,18,0,MVA,18-20 yrs,107,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,36.927494049072266 +1984,18,0,suicide,18-20 yrs,35,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.079087257385254 +1984,18,0,homicide,18-20 yrs,22,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,7.592568874359131 +1984,18,0,other external,18-20 yrs,34,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,11.733970642089844 +1984,18,0,internal,18-20 yrs,58,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,20.016773223876953 +1984,18,0,all,21-24 yrs,353,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,88.37571716308594 +1984,18,0,MVA,21-24 yrs,140,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,35.04985809326172 +1984,18,0,suicide,21-24 yrs,50,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.517807006835938 +1984,18,0,homicide,21-24 yrs,39,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,9.76388931274414 +1984,18,0,other external,21-24 yrs,43,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,10.765314102172852 +1984,18,0,internal,21-24 yrs,81,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,20.278846740722656 +1985,18,0,MVA,15-17 yrs,78,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,29.84400749206543 +1985,18,0,suicide,15-17 yrs,18,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,6.887078762054443 +1985,18,0,homicide,15-17 yrs,14,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,5.356616973876953 +1985,18,0,other external,15-17 yrs,32,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,12.243695259094238 +1985,18,0,internal,15-17 yrs,31,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,11.861080169677734 +1985,18,0,all,18-20 yrs,244,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,87.98309326171875 +1985,18,0,MVA,18-20 yrs,117,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,42.18861389160156 +1985,18,0,suicide,18-20 yrs,34,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,12.259939193725586 +1985,18,0,homicide,18-20 yrs,23,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,8.293488502502441 +1985,18,0,other external,18-20 yrs,31,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,11.178179740905762 +1985,18,0,internal,18-20 yrs,39,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,14.062871932983398 +1985,18,0,all,21-24 yrs,396,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,101.13650512695312 +1985,18,0,MVA,21-24 yrs,148,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,37.798492431640625 +1985,18,0,suicide,21-24 yrs,65,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,16.600688934326172 +1985,18,0,homicide,21-24 yrs,35,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,8.938833236694336 +1985,18,0,other external,21-24 yrs,51,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,13.025156021118164 +1985,18,0,internal,21-24 yrs,97,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,24.77333641052246 +1986,18,0,MVA,15-17 yrs,84,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,31.43100929260254 +1986,18,0,suicide,15-17 yrs,23,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,8.606109619140625 +1986,18,0,homicide,15-17 yrs,13,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,4.864322662353516 +1986,18,0,other external,15-17 yrs,25,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,9.354467391967773 +1986,18,0,internal,15-17 yrs,38,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,14.218790054321289 +1986,18,0,all,18-20 yrs,268,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,100.4192886352539 +1986,18,0,MVA,18-20 yrs,123,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,46.087955474853516 +1986,18,0,suicide,18-20 yrs,34,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,12.739760398864746 +1986,18,0,homicide,18-20 yrs,22,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,8.243374824523926 +1986,18,0,other external,18-20 yrs,30,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,11.240964889526367 +1986,18,0,internal,18-20 yrs,59,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,22.10723114013672 +1986,18,0,all,21-24 yrs,377,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,99.98514556884766 +1986,18,0,MVA,21-24 yrs,145,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,38.45582580566406 +1986,18,0,suicide,21-24 yrs,57,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,15.117117881774902 +1986,18,0,homicide,21-24 yrs,40,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,10.608503341674805 +1986,18,0,other external,21-24 yrs,42,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,11.13892936706543 +1986,18,0,internal,21-24 yrs,93,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,24.664772033691406 +1987,18,0,MVA,15-17 yrs,100,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,37.57448959350586 +1987,18,0,suicide,15-17 yrs,20,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,7.514898300170898 +1987,18,0,homicide,15-17 yrs,9,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,3.381704330444336 +1987,18,0,other external,15-17 yrs,23,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,8.642132759094238 +1987,18,0,internal,15-17 yrs,39,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,14.654051780700684 +1987,18,0,all,18-20 yrs,229,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,86.30696868896484 +1987,18,0,MVA,18-20 yrs,109,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,41.08060836791992 +1987,18,0,suicide,18-20 yrs,34,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.81413459777832 +1987,18,0,homicide,18-20 yrs,15,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,5.653294563293457 +1987,18,0,other external,18-20 yrs,34,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.81413459777832 +1987,18,0,internal,18-20 yrs,37,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,13.944793701171875 +1987,18,0,all,21-24 yrs,357,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,98.7248764038086 +1987,18,0,MVA,21-24 yrs,115,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,31.8021297454834 +1987,18,0,suicide,21-24 yrs,60,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,16.59241485595703 +1987,18,0,homicide,21-24 yrs,40,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,11.061610221862793 +1987,18,0,other external,21-24 yrs,44,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.167771339416504 +1987,18,0,internal,21-24 yrs,98,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,27.1009464263916 +1988,18,0,MVA,15-17 yrs,90,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,34.91078186035156 +1988,18,0,suicide,15-17 yrs,29,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,11.249030113220215 +1988,18,0,homicide,15-17 yrs,16,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,6.206361293792725 +1988,18,0,other external,15-17 yrs,25,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,9.697440147399902 +1988,18,0,internal,15-17 yrs,57,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.11016273498535 +1988,18,0,all,18-20 yrs,285,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,106.09309387207031 +1988,18,0,MVA,18-20 yrs,138,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,51.37139129638672 +1988,18,0,suicide,18-20 yrs,33,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,12.284463882446289 +1988,18,0,homicide,18-20 yrs,22,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,8.189641952514648 +1988,18,0,other external,18-20 yrs,31,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,11.539950370788574 +1988,18,0,internal,18-20 yrs,61,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.707645416259766 +1988,18,0,all,21-24 yrs,361,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,103.55381774902344 +1988,18,0,MVA,21-24 yrs,141,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,40.44622802734375 +1988,18,0,suicide,21-24 yrs,52,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,14.916339874267578 +1988,18,0,homicide,21-24 yrs,42,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,12.047812461853027 +1988,18,0,other external,21-24 yrs,47,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,13.482075691223145 +1988,18,0,internal,21-24 yrs,79,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.661361694335938 +1989,18,0,MVA,15-17 yrs,79,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,32.24081802368164 +1989,18,0,suicide,15-17 yrs,24,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,9.794678688049316 +1989,18,0,homicide,15-17 yrs,15,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,6.121674537658691 +1989,18,0,other external,15-17 yrs,22,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,8.978455543518066 +1989,18,0,internal,15-17 yrs,35,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,14.283906936645508 +1989,18,0,all,18-20 yrs,226,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,81.28501892089844 +1989,18,0,MVA,18-20 yrs,88,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,31.65080451965332 +1989,18,0,suicide,18-20 yrs,36,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,12.948057174682617 +1989,18,0,homicide,18-20 yrs,28,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,10.070711135864258 +1989,18,0,other external,18-20 yrs,26,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,9.351374626159668 +1989,18,0,internal,18-20 yrs,48,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,17.264076232910156 +1989,18,0,all,21-24 yrs,326,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,97.78719329833984 +1989,18,0,MVA,21-24 yrs,109,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,32.695716857910156 +1989,18,0,suicide,21-24 yrs,58,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,17.397720336914062 +1989,18,0,homicide,21-24 yrs,37,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,11.098546028137207 +1989,18,0,other external,21-24 yrs,44,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,13.198270797729492 +1989,18,0,internal,21-24 yrs,78,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,23.396934509277344 +1990,18,0,MVA,15-17 yrs,64,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,26.924015045166016 +1990,18,0,suicide,15-17 yrs,23,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.67581844329834 +1990,18,0,homicide,15-17 yrs,16,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,6.731003761291504 +1990,18,0,other external,15-17 yrs,21,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,8.834442138671875 +1990,18,0,internal,15-17 yrs,42,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,17.66888427734375 +1990,18,0,all,18-20 yrs,264,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,93.76432037353516 +1990,18,0,MVA,18-20 yrs,111,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,39.42363357543945 +1990,18,0,suicide,18-20 yrs,42,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,14.9170503616333 +1990,18,0,homicide,18-20 yrs,26,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.23436450958252 +1990,18,0,other external,18-20 yrs,33,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,11.720540046691895 +1990,18,0,internal,18-20 yrs,52,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,18.46872901916504 +1990,18,0,all,21-24 yrs,306,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,92.94019317626953 +1990,18,0,MVA,21-24 yrs,116,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,35.23222732543945 +1990,18,0,suicide,21-24 yrs,53,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,16.097484588623047 +1990,18,0,homicide,21-24 yrs,32,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.71923542022705 +1990,18,0,other external,21-24 yrs,26,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,7.896878719329834 +1990,18,0,internal,21-24 yrs,79,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,23.99436378479004 +1991,18,0,MVA,15-17 yrs,79,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,33.2424430847168 +1991,18,0,suicide,15-17 yrs,30,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,12.623712539672852 +1991,18,0,homicide,15-17 yrs,17,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,7.15343713760376 +1991,18,0,other external,15-17 yrs,29,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,12.202921867370605 +1991,18,0,internal,15-17 yrs,46,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,19.356359481811523 +1991,18,0,all,18-20 yrs,280,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,104.10198974609375 +1991,18,0,MVA,18-20 yrs,98,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,36.43569564819336 +1991,18,0,suicide,18-20 yrs,48,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,17.84605598449707 +1991,18,0,homicide,18-20 yrs,42,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,15.6152982711792 +1991,18,0,other external,18-20 yrs,28,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,10.410199165344238 +1991,18,0,internal,18-20 yrs,64,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,23.794740676879883 +1991,18,0,all,21-24 yrs,309,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,91.397674560546875 +1991,18,0,MVA,21-24 yrs,96,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,28.39539337158203 +1991,18,0,suicide,21-24 yrs,48,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,14.197696685791016 +1991,18,0,homicide,21-24 yrs,55,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,16.2681941986084 +1991,18,0,other external,21-24 yrs,32,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,9.465131759643555 +1991,18,0,internal,21-24 yrs,78,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,23.071258544921875 +1992,18,0,MVA,15-17 yrs,71,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,29.433223724365234 +1992,18,0,suicide,15-17 yrs,22,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,9.120153427124023 +1992,18,0,homicide,15-17 yrs,16,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,6.632839202880859 +1992,18,0,other external,15-17 yrs,27,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,11.192915916442871 +1992,18,0,internal,15-17 yrs,39,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,16.167545318603516 +1992,18,0,all,18-20 yrs,222,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,87.551513671875 +1992,18,0,MVA,18-20 yrs,87,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,34.31072998046875 +1992,18,0,suicide,18-20 yrs,31,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,12.225662231445312 +1992,18,0,homicide,18-20 yrs,42,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,16.563800811767578 +1992,18,0,other external,18-20 yrs,18,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,7.098771572113037 +1992,18,0,internal,18-20 yrs,44,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,17.35255241394043 +1992,18,0,all,21-24 yrs,331,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,94.51634216308594 +1992,18,0,MVA,21-24 yrs,103,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,29.411428451538086 +1992,18,0,suicide,21-24 yrs,52,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,14.848487854003906 +1992,18,0,homicide,21-24 yrs,55,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,15.705131530761719 +1992,18,0,other external,21-24 yrs,36,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,10.279722213745117 +1992,18,0,internal,21-24 yrs,85,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,24.271568298339844 +1993,18,0,MVA,15-17 yrs,68,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,27.82904815673828 +1993,18,0,suicide,15-17 yrs,18,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,7.366512775421143 +1993,18,0,homicide,15-17 yrs,27,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,11.049769401550293 +1993,18,0,other external,15-17 yrs,14,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,5.7295098304748535 +1993,18,0,internal,15-17 yrs,37,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.1422758102417 +1993,18,0,all,18-20 yrs,218,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,87.8741683959961 +1993,18,0,MVA,18-20 yrs,80,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,32.24740219116211 +1993,18,0,suicide,18-20 yrs,30,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,12.092775344848633 +1993,18,0,homicide,18-20 yrs,39,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.720608711242676 +1993,18,0,other external,18-20 yrs,21,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,8.464942932128906 +1993,18,0,internal,18-20 yrs,48,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,19.34844207763672 +1993,18,0,all,21-24 yrs,320,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,90.367401123046875 +1993,18,0,MVA,21-24 yrs,89,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,25.133432388305664 +1993,18,0,suicide,21-24 yrs,63,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,17.79108238220215 +1993,18,0,homicide,21-24 yrs,56,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.814294815063477 +1993,18,0,other external,21-24 yrs,29,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,8.189545631408691 +1993,18,0,internal,21-24 yrs,83,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,23.439044952392578 +1994,18,0,MVA,15-17 yrs,67,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,26.671550750732422 +1994,18,0,suicide,15-17 yrs,39,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,15.525230407714844 +1994,18,0,homicide,15-17 yrs,28,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,11.146319389343262 +1994,18,0,other external,15-17 yrs,17,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,6.76740837097168 +1994,18,0,internal,15-17 yrs,43,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,17.11756134033203 +1994,18,0,all,18-20 yrs,250,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,101.02806091308594 +1994,18,0,MVA,18-20 yrs,95,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,38.390663146972656 +1994,18,0,suicide,18-20 yrs,33,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,13.33570384979248 +1994,18,0,homicide,18-20 yrs,54,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,21.82206153869629 +1994,18,0,other external,18-20 yrs,17,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,6.869908332824707 +1994,18,0,internal,18-20 yrs,51,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,20.609724044799805 +1994,18,0,all,21-24 yrs,335,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,97.03395080566406 +1994,18,0,MVA,21-24 yrs,99,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,28.675703048706055 +1994,18,0,suicide,21-24 yrs,59,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,17.089561462402344 +1994,18,0,homicide,21-24 yrs,63,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,18.2481746673584 +1994,18,0,other external,21-24 yrs,30,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,8.689607620239258 +1994,18,0,internal,21-24 yrs,84,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,24.330900192260742 +1995,18,0,MVA,15-17 yrs,61,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,23.58025550842285 +1995,18,0,suicide,15-17 yrs,22,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,8.504354476928711 +1995,18,0,homicide,15-17 yrs,37,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,14.302778244018555 +1995,18,0,other external,15-17 yrs,28,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,10.823723793029785 +1995,18,0,internal,15-17 yrs,40,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,15.46246337890625 +1995,18,0,all,18-20 yrs,255,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,101.57176971435547 +1995,18,0,MVA,18-20 yrs,86,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,34.255577087402344 +1995,18,0,suicide,18-20 yrs,40,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,15.93282699584961 +1995,18,0,homicide,18-20 yrs,56,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,22.305957794189453 +1995,18,0,other external,18-20 yrs,24,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,9.559696197509766 +1995,18,0,internal,18-20 yrs,49,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,19.51771354675293 +1995,18,0,all,21-24 yrs,384,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,115.85317993164062 +1995,18,0,MVA,21-24 yrs,114,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,34.39391326904297 +1995,18,0,suicide,21-24 yrs,66,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,19.91226577758789 +1995,18,0,homicide,21-24 yrs,72,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,21.722471237182617 +1995,18,0,other external,21-24 yrs,38,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,11.464637756347656 +1995,18,0,internal,21-24 yrs,94,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,28.359893798828125 +1996,18,0,MVA,15-17 yrs,84,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,31.90228843688965 +1996,18,0,suicide,15-17 yrs,24,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,9.11493968963623 +1996,18,0,homicide,15-17 yrs,24,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,9.11493968963623 +1996,18,0,other external,15-17 yrs,17,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,6.456415176391602 +1996,18,0,internal,15-17 yrs,39,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,14.811776161193848 +1996,18,0,all,18-20 yrs,254,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,100.04450988769531 +1996,18,0,MVA,18-20 yrs,101,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,39.78147888183594 +1996,18,0,suicide,18-20 yrs,37,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,14.573412895202637 +1996,18,0,homicide,18-20 yrs,41,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,16.148916244506836 +1996,18,0,other external,18-20 yrs,26,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,10.240776062011719 +1996,18,0,internal,18-20 yrs,49,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,19.299924850463867 +1996,18,0,all,21-24 yrs,307,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,96.65242767333984 +1996,18,0,MVA,21-24 yrs,77,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,24.24181365966797 +1996,18,0,suicide,21-24 yrs,56,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,17.630409240722656 +1996,18,0,homicide,21-24 yrs,70,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,22.03801155090332 +1996,18,0,other external,21-24 yrs,25,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,7.870718955993652 +1996,18,0,internal,21-24 yrs,79,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,24.871471405029297 +1970,19,0,MVA,15-17 yrs,71,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,42.16202163696289 +1970,19,0,suicide,15-17 yrs,6,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,3.5629875659942627 +1970,19,0,homicide,15-17 yrs,1,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,0.5938313007354736 +1970,19,0,other external,15-17 yrs,31,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,18.408769607543945 +1970,19,0,internal,15-17 yrs,32,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,19.002601623535156 +1970,19,0,all,18-20 yrs,219,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,145.44247436523438 +1970,19,0,MVA,18-20 yrs,127,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,84.343353271484375 +1970,19,0,suicide,18-20 yrs,9,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,5.97708797454834 +1970,19,0,homicide,18-20 yrs,4,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,2.6564834117889404 +1970,19,0,other external,18-20 yrs,35,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,23.244230270385742 +1970,19,0,internal,18-20 yrs,44,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,29.2213191986084 +1970,19,0,all,21-24 yrs,206,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,129.90289306640625 +1970,19,0,MVA,21-24 yrs,103,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,64.951446533203125 +1970,19,0,suicide,21-24 yrs,11,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,6.9365620613098145 +1970,19,0,homicide,21-24 yrs,4,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,2.522386074066162 +1970,19,0,other external,21-24 yrs,24,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,15.134317398071289 +1970,19,0,internal,21-24 yrs,64,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,40.358177185058594 +1971,19,0,MVA,15-17 yrs,80,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,47.04996871948242 +1971,19,0,suicide,15-17 yrs,6,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,3.52874755859375 +1971,19,0,homicide,15-17 yrs,3,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,1.764373779296875 +1971,19,0,other external,15-17 yrs,32,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,18.81998634338379 +1971,19,0,internal,15-17 yrs,36,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,21.1724853515625 +1971,19,0,all,18-20 yrs,195,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,125.07215881347656 +1971,19,0,MVA,18-20 yrs,102,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,65.42235565185547 +1971,19,0,suicide,18-20 yrs,10,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,6.413956642150879 +1971,19,0,homicide,18-20 yrs,2,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,1.2827913761138916 +1971,19,0,other external,18-20 yrs,33,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,21.166057586669922 +1971,19,0,internal,18-20 yrs,48,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,30.7869930267334 +1971,19,0,all,21-24 yrs,217,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,120.33560943603516 +1971,19,0,MVA,21-24 yrs,104,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,57.672367095947266 +1971,19,0,suicide,21-24 yrs,26,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,14.418091773986816 +1971,19,0,homicide,21-24 yrs,7,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,3.881793737411499 +1971,19,0,other external,21-24 yrs,26,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,14.418091773986816 +1971,19,0,internal,21-24 yrs,54,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,29.945266723632812 +1972,19,0.4960145950317383,MVA,15-17 yrs,76,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,44.2645378112793 +1972,19,0.4960145950317383,suicide,15-17 yrs,8,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,4.659425258636475 +1972,19,0.4960145950317383,homicide,15-17 yrs,0,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,0 +1972,19,0.4960145950317383,other external,15-17 yrs,32,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,18.6377010345459 +1972,19,0.4960145950317383,internal,15-17 yrs,38,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,22.13226890563965 +1972,19,0.4960145950317383,all,18-20 yrs,206,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,131.0674285888672 +1972,19,0.4960145950317383,MVA,18-20 yrs,140,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,89.07495880126953 +1972,19,0.4960145950317383,suicide,18-20 yrs,12,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,7.63499641418457 +1972,19,0.4960145950317383,homicide,18-20 yrs,2,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,1.2724993228912354 +1972,19,0.4960145950317383,other external,18-20 yrs,18,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,11.452494621276855 +1972,19,0.4960145950317383,internal,18-20 yrs,34,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,21.632490158081055 +1972,19,0.4960145950317383,all,21-24 yrs,196,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,105.29878234863281 +1972,19,0.4960145950317383,MVA,21-24 yrs,94,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,50.50043869018555 +1972,19,0.4960145950317383,suicide,21-24 yrs,14,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,7.521341800689697 +1972,19,0.4960145950317383,homicide,21-24 yrs,12,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,6.446864604949951 +1972,19,0.4960145950317383,other external,21-24 yrs,16,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,8.595819473266602 +1972,19,0.4960145950317383,internal,21-24 yrs,60,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,32.23432159423828 +1973,19,0.8298145532608032,MVA,15-17 yrs,98,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,56.48936080932617 +1973,19,0.8298145532608032,suicide,15-17 yrs,5,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,2.882110118865967 +1973,19,0.8298145532608032,homicide,15-17 yrs,5,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,2.882110118865967 +1973,19,0.8298145532608032,other external,15-17 yrs,34,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,19.59834861755371 +1973,19,0.8298145532608032,internal,15-17 yrs,36,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.75119400024414 +1973,19,0.8298145532608032,all,18-20 yrs,191,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,122.05720520019531 +1973,19,0.8298145532608032,MVA,18-20 yrs,112,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,71.57281494140625 +1973,19,0.8298145532608032,suicide,18-20 yrs,10,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,6.390429496765137 +1973,19,0.8298145532608032,homicide,18-20 yrs,7,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,4.473300933837891 +1973,19,0.8298145532608032,other external,18-20 yrs,32,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.44937515258789 +1973,19,0.8298145532608032,internal,18-20 yrs,30,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,19.171289443969727 +1973,19,0.8298145532608032,all,21-24 yrs,250,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,130.33187866210938 +1973,19,0.8298145532608032,MVA,21-24 yrs,126,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,65.68726348876953 +1973,19,0.8298145532608032,suicide,21-24 yrs,26,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,13.55451488494873 +1973,19,0.8298145532608032,homicide,21-24 yrs,7,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,3.649292469024658 +1973,19,0.8298145532608032,other external,21-24 yrs,40,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.853099822998047 +1973,19,0.8298145532608032,internal,21-24 yrs,51,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,26.587703704833984 +1974,19,1,MVA,15-17 yrs,73,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,41.812007904052734 +1974,19,1,suicide,15-17 yrs,9,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,5.154904842376709 +1974,19,1,homicide,15-17 yrs,4,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,2.2910687923431396 +1974,19,1,other external,15-17 yrs,27,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,15.464715003967285 +1974,19,1,internal,15-17 yrs,39,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,22.337921142578125 +1974,19,1,all,18-20 yrs,232,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,145.7506103515625 +1974,19,1,MVA,18-20 yrs,101,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,63.451778411865234 +1974,19,1,suicide,18-20 yrs,22,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,13.821179389953613 +1974,19,1,homicide,18-20 yrs,11,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,6.910589694976807 +1974,19,1,other external,18-20 yrs,43,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,27.014122009277344 +1974,19,1,internal,18-20 yrs,55,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,34.552947998046875 +1974,19,1,all,21-24 yrs,236,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,121.56175994873047 +1974,19,1,MVA,21-24 yrs,109,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,56.145050048828125 +1974,19,1,suicide,21-24 yrs,23,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,11.84712028503418 +1974,19,1,homicide,21-24 yrs,5,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,2.575460910797119 +1974,19,1,other external,21-24 yrs,46,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,23.69424057006836 +1974,19,1,internal,21-24 yrs,53,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,27.29988670349121 +1975,19,1,MVA,15-17 yrs,72,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,41.01255416870117 +1975,19,1,suicide,15-17 yrs,9,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,5.1265692710876465 +1975,19,1,homicide,15-17 yrs,3,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,1.708856463432312 +1975,19,1,other external,15-17 yrs,35,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,19.93665885925293 +1975,19,1,internal,15-17 yrs,33,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,18.797420501708984 +1975,19,1,all,18-20 yrs,225,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,138.2140350341797 +1975,19,1,MVA,18-20 yrs,107,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,65.72844696044922 +1975,19,1,suicide,18-20 yrs,13,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,7.985699653625488 +1975,19,1,homicide,18-20 yrs,10,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,6.142845630645752 +1975,19,1,other external,18-20 yrs,46,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,28.257089614868164 +1975,19,1,internal,18-20 yrs,49,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,30.099943161010742 +1975,19,1,all,21-24 yrs,245,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,123.5022201538086 +1975,19,1,MVA,21-24 yrs,118,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,59.48270034790039 +1975,19,1,suicide,21-24 yrs,25,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,12.602267265319824 +1975,19,1,homicide,21-24 yrs,6,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,3.0245442390441895 +1975,19,1,other external,21-24 yrs,47,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,23.692262649536133 +1975,19,1,internal,21-24 yrs,49,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,24.700443267822266 +1976,19,1,MVA,15-17 yrs,78,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,43.98082733154297 +1976,19,1,suicide,15-17 yrs,7,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,3.9469974040985107 +1976,19,1,homicide,15-17 yrs,3,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,1.6915702819824219 +1976,19,1,other external,15-17 yrs,28,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,15.787989616394043 +1976,19,1,internal,15-17 yrs,25,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,14.096419334411621 +1976,19,1,all,18-20 yrs,229,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,137.2827606201172 +1976,19,1,MVA,18-20 yrs,128,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,76.734466552734375 +1976,19,1,suicide,18-20 yrs,17,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,10.191296577453613 +1976,19,1,homicide,18-20 yrs,9,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,5.395392417907715 +1976,19,1,other external,18-20 yrs,40,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,23.979520797729492 +1976,19,1,internal,18-20 yrs,35,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,20.982080459594727 +1976,19,1,all,21-24 yrs,238,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,118.17279052734375 +1976,19,1,MVA,21-24 yrs,98,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,48.659385681152344 +1976,19,1,suicide,21-24 yrs,42,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,20.854021072387695 +1976,19,1,homicide,21-24 yrs,5,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,2.482621669769287 +1976,19,1,other external,21-24 yrs,40,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,19.860973358154297 +1976,19,1,internal,21-24 yrs,53,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,26.3157901763916 +1977,19,1,MVA,15-17 yrs,61,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,34.4739875793457 +1977,19,1,suicide,15-17 yrs,6,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,3.3908841609954834 +1977,19,1,homicide,15-17 yrs,3,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,1.6954420804977417 +1977,19,1,other external,15-17 yrs,29,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,16.389272689819336 +1977,19,1,internal,15-17 yrs,34,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,19.215009689331055 +1977,19,1,all,18-20 yrs,188,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,111.02384185791016 +1977,19,1,MVA,18-20 yrs,95,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,56.102474212646484 +1977,19,1,suicide,18-20 yrs,32,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,18.897674560546875 +1977,19,1,homicide,18-20 yrs,4,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,2.3622093200683594 +1977,19,1,other external,18-20 yrs,28,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,16.535465240478516 +1977,19,1,internal,18-20 yrs,29,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,17.126018524169922 +1977,19,1,all,21-24 yrs,233,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,114.58020782470703 +1977,19,1,MVA,21-24 yrs,98,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,48.192535400390625 +1977,19,1,suicide,21-24 yrs,35,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,17.211618423461914 +1977,19,1,homicide,21-24 yrs,8,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,3.934084415435791 +1977,19,1,other external,21-24 yrs,41,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,20.162181854248047 +1977,19,1,internal,21-24 yrs,51,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,25.079788208007812 +1978,19,0.9573912024497986,MVA,15-17 yrs,62,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,35.64632034301758 +1978,19,0.9573912024497986,suicide,15-17 yrs,9,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,5.174465656280518 +1978,19,0.9573912024497986,homicide,15-17 yrs,6,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,3.449643850326538 +1978,19,0.9573912024497986,other external,15-17 yrs,20,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,11.498812675476074 +1978,19,0.9573912024497986,internal,15-17 yrs,31,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,17.82316017150879 +1978,19,0.9573912024497986,all,18-20 yrs,195,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,114.20004272460938 +1978,19,0.9573912024497986,MVA,18-20 yrs,106,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,62.077972412109375 +1978,19,0.9573912024497986,suicide,18-20 yrs,20,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,11.712824821472168 +1978,19,0.9573912024497986,homicide,18-20 yrs,3,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,1.756923794746399 +1978,19,0.9573912024497986,other external,18-20 yrs,30,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,17.569236755371094 +1978,19,0.9573912024497986,internal,18-20 yrs,36,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,21.083084106445312 +1978,19,0.9573912024497986,all,21-24 yrs,198,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,95.3045654296875 +1978,19,0.9573912024497986,MVA,21-24 yrs,95,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,45.72693634033203 +1978,19,0.9573912024497986,suicide,21-24 yrs,30,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,14.440085411071777 +1978,19,0.9573912024497986,homicide,21-24 yrs,7,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,3.3693532943725586 +1978,19,0.9573912024497986,other external,21-24 yrs,27,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,12.996077537536621 +1978,19,0.9573912024497986,internal,21-24 yrs,39,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,18.772111892700195 +1979,19,0.7068474292755127,MVA,15-17 yrs,73,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,43.45212173461914 +1979,19,0.7068474292755127,suicide,15-17 yrs,10,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,5.952345371246338 +1979,19,0.7068474292755127,homicide,15-17 yrs,2,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,1.1904691457748413 +1979,19,0.7068474292755127,other external,15-17 yrs,27,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,16.071332931518555 +1979,19,0.7068474292755127,internal,15-17 yrs,29,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,17.261802673339844 +1979,19,0.7068474292755127,all,18-20 yrs,194,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,112.7114028930664 +1979,19,0.7068474292755127,MVA,18-20 yrs,102,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,59.26063537597656 +1979,19,0.7068474292755127,suicide,18-20 yrs,14,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,8.13381290435791 +1979,19,0.7068474292755127,homicide,18-20 yrs,7,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,4.066906452178955 +1979,19,0.7068474292755127,other external,18-20 yrs,35,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.334531784057617 +1979,19,0.7068474292755127,internal,18-20 yrs,36,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.915517807006836 +1979,19,0.7068474292755127,all,21-24 yrs,249,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,117.91726684570312 +1979,19,0.7068474292755127,MVA,21-24 yrs,110,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,52.09196472167969 +1979,19,0.7068474292755127,suicide,21-24 yrs,27,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,12.786210060119629 +1979,19,0.7068474292755127,homicide,21-24 yrs,13,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,6.156323432922363 +1979,19,0.7068474292755127,other external,21-24 yrs,44,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.8367862701416 +1979,19,0.7068474292755127,internal,21-24 yrs,55,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,26.045982360839844 +1980,19,0.6759015917778015,MVA,15-17 yrs,65,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,40.652950286865234 +1980,19,0.6759015917778015,suicide,15-17 yrs,7,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,4.378009796142578 +1980,19,0.6759015917778015,homicide,15-17 yrs,3,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,1.876289963722229 +1980,19,0.6759015917778015,other external,15-17 yrs,17,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,10.632309913635254 +1980,19,0.6759015917778015,internal,15-17 yrs,21,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,13.134029388427734 +1980,19,0.6759015917778015,all,18-20 yrs,213,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,123.22252655029297 +1980,19,0.6759015917778015,MVA,18-20 yrs,112,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,64.7930679321289 +1980,19,0.6759015917778015,suicide,18-20 yrs,16,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,9.256152153015137 +1980,19,0.6759015917778015,homicide,18-20 yrs,8,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,4.628076076507568 +1980,19,0.6759015917778015,other external,18-20 yrs,49,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,28.346967697143555 +1980,19,0.6759015917778015,internal,18-20 yrs,28,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,16.198266983032227 +1980,19,0.6759015917778015,all,21-24 yrs,207,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,96.215972900390625 +1980,19,0.6759015917778015,MVA,21-24 yrs,99,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,46.016334533691406 +1980,19,0.6759015917778015,suicide,21-24 yrs,28,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,13.014720916748047 +1980,19,0.6759015917778015,homicide,21-24 yrs,16,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,7.436983108520508 +1980,19,0.6759015917778015,other external,21-24 yrs,23,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,10.69066333770752 +1980,19,0.6759015917778015,internal,21-24 yrs,41,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,19.057270050048828 +1981,19,0.6856397390365601,MVA,15-17 yrs,48,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,31.68860626220703 +1981,19,0.6856397390365601,suicide,15-17 yrs,9,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,5.941613674163818 +1981,19,0.6856397390365601,homicide,15-17 yrs,1,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,0.6601793169975281 +1981,19,0.6856397390365601,other external,15-17 yrs,16,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.56286907196045 +1981,19,0.6856397390365601,internal,15-17 yrs,23,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,15.184123992919922 +1981,19,0.6856397390365601,all,18-20 yrs,180,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,106.76789855957031 +1981,19,0.6856397390365601,MVA,18-20 yrs,110,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,65.2470474243164 +1981,19,0.6856397390365601,suicide,18-20 yrs,23,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,13.64256477355957 +1981,19,0.6856397390365601,homicide,18-20 yrs,4,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,2.372619867324829 +1981,19,0.6856397390365601,other external,18-20 yrs,18,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.676790237426758 +1981,19,0.6856397390365601,internal,18-20 yrs,25,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,14.828874588012695 +1981,19,0.6856397390365601,all,21-24 yrs,200,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,92.39752960205078 +1981,19,0.6856397390365601,MVA,21-24 yrs,100,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,46.19876480102539 +1981,19,0.6856397390365601,suicide,21-24 yrs,23,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.625716209411621 +1981,19,0.6856397390365601,homicide,21-24 yrs,17,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,7.853790283203125 +1981,19,0.6856397390365601,other external,21-24 yrs,25,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,11.549691200256348 +1981,19,0.6856397390365601,internal,21-24 yrs,35,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,16.169567108154297 +1982,19,0.6818255186080933,MVA,15-17 yrs,51,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,35.80656051635742 +1982,19,0.6818255186080933,suicide,15-17 yrs,8,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,5.616715431213379 +1982,19,0.6818255186080933,homicide,15-17 yrs,1,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,0.7020894289016724 +1982,19,0.6818255186080933,other external,15-17 yrs,18,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.637609481811523 +1982,19,0.6818255186080933,internal,15-17 yrs,30,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,21.06268310546875 +1982,19,0.6818255186080933,all,18-20 yrs,127,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,78.66407012939453 +1982,19,0.6818255186080933,MVA,18-20 yrs,60,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,37.164127349853516 +1982,19,0.6818255186080933,suicide,18-20 yrs,20,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.388043403625488 +1982,19,0.6818255186080933,homicide,18-20 yrs,8,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,4.955217361450195 +1982,19,0.6818255186080933,other external,18-20 yrs,21,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,13.007445335388184 +1982,19,0.6818255186080933,internal,18-20 yrs,18,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,11.149238586425781 +1982,19,0.6818255186080933,all,21-24 yrs,181,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,83.94981384277344 +1982,19,0.6818255186080933,MVA,21-24 yrs,65,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,30.147724151611328 +1982,19,0.6818255186080933,suicide,21-24 yrs,28,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.986711502075195 +1982,19,0.6818255186080933,homicide,21-24 yrs,10,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,4.638111591339111 +1982,19,0.6818255186080933,other external,21-24 yrs,34,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,15.76957893371582 +1982,19,0.6818255186080933,internal,21-24 yrs,44,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,20.407690048217773 +1983,19,0.6865283846855164,MVA,15-17 yrs,38,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,28.11295509338379 +1983,19,0.6865283846855164,suicide,15-17 yrs,15,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,11.097219467163086 +1983,19,0.6865283846855164,homicide,15-17 yrs,3,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,2.2194437980651855 +1983,19,0.6865283846855164,other external,15-17 yrs,13,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,9.617589950561523 +1983,19,0.6865283846855164,internal,15-17 yrs,10,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,7.398146152496338 +1983,19,0.6865283846855164,all,18-20 yrs,159,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,103.24809265136719 +1983,19,0.6865283846855164,MVA,18-20 yrs,77,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,50.000648498535156 +1983,19,0.6865283846855164,suicide,18-20 yrs,27,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,17.532695770263672 +1983,19,0.6865283846855164,homicide,18-20 yrs,7,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,4.54551362991333 +1983,19,0.6865283846855164,other external,18-20 yrs,19,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,12.337822914123535 +1983,19,0.6865283846855164,internal,18-20 yrs,29,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,18.83141326904297 +1983,19,0.6865283846855164,all,21-24 yrs,172,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,80.88903045654297 +1983,19,0.6865283846855164,MVA,21-24 yrs,70,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,32.919952392578125 +1983,19,0.6865283846855164,suicide,21-24 yrs,28,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,13.167981147766113 +1983,19,0.6865283846855164,homicide,21-24 yrs,8,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,3.762280225753784 +1983,19,0.6865283846855164,other external,21-24 yrs,34,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,15.989691734313965 +1983,19,0.6865283846855164,internal,21-24 yrs,32,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,15.049120903015137 +1984,19,0.6910039186477661,MVA,15-17 yrs,32,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,24.19220733642578 +1984,19,0.6910039186477661,suicide,15-17 yrs,19,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,14.364123344421387 +1984,19,0.6910039186477661,homicide,15-17 yrs,3,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,2.268019437789917 +1984,19,0.6910039186477661,other external,15-17 yrs,13,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,9.828083992004395 +1984,19,0.6910039186477661,internal,15-17 yrs,16,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,12.09610366821289 +1984,19,0.6910039186477661,all,18-20 yrs,152,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,103.50486755371094 +1984,19,0.6910039186477661,MVA,18-20 yrs,62,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,42.21908950805664 +1984,19,0.6910039186477661,suicide,18-20 yrs,24,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,16.342872619628906 +1984,19,0.6910039186477661,homicide,18-20 yrs,10,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,6.809530735015869 +1984,19,0.6910039186477661,other external,18-20 yrs,24,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,16.342872619628906 +1984,19,0.6910039186477661,internal,18-20 yrs,32,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,21.790498733520508 +1984,19,0.6910039186477661,all,21-24 yrs,163,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,78.80601501464844 +1984,19,0.6910039186477661,MVA,21-24 yrs,53,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,25.624042510986328 +1984,19,0.6910039186477661,suicide,21-24 yrs,32,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,15.47111988067627 +1984,19,0.6910039186477661,homicide,21-24 yrs,8,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,3.8677799701690674 +1984,19,0.6910039186477661,other external,21-24 yrs,33,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,15.95459270477295 +1984,19,0.6910039186477661,internal,21-24 yrs,37,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,17.88848304748535 +1985,19,0.6857091188430786,MVA,15-17 yrs,35,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,26.690866470336914 +1985,19,0.6857091188430786,suicide,15-17 yrs,18,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,13.726731300354004 +1985,19,0.6857091188430786,homicide,15-17 yrs,0,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,0 +1985,19,0.6857091188430786,other external,15-17 yrs,18,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,13.726731300354004 +1985,19,0.6857091188430786,internal,15-17 yrs,13,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,9.913750648498535 +1985,19,0.6857091188430786,all,18-20 yrs,134,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,96.86280059814453 +1985,19,0.6857091188430786,MVA,18-20 yrs,67,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,48.431400299072266 +1985,19,0.6857091188430786,suicide,18-20 yrs,20,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,14.457134246826172 +1985,19,0.6857091188430786,homicide,18-20 yrs,8,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,5.782853603363037 +1985,19,0.6857091188430786,other external,18-20 yrs,17,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.288564682006836 +1985,19,0.6857091188430786,internal,18-20 yrs,22,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,15.902848243713379 +1985,19,0.6857091188430786,all,21-24 yrs,159,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,80.25439453125 +1985,19,0.6857091188430786,MVA,21-24 yrs,71,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,35.83686828613281 +1985,19,0.6857091188430786,suicide,21-24 yrs,32,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,16.151826858520508 +1985,19,0.6857091188430786,homicide,21-24 yrs,6,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,3.0284676551818848 +1985,19,0.6857091188430786,other external,21-24 yrs,25,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.61861515045166 +1985,19,0.6857091188430786,internal,21-24 yrs,25,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.61861515045166 +1986,19,0.662397563457489,MVA,15-17 yrs,48,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,36.65549087524414 +1986,19,0.662397563457489,suicide,15-17 yrs,17,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,12.982152938842773 +1986,19,0.662397563457489,homicide,15-17 yrs,5,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,3.8182804584503174 +1986,19,0.662397563457489,other external,15-17 yrs,12,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,9.163872718811035 +1986,19,0.662397563457489,internal,15-17 yrs,19,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,14.509465217590332 +1986,19,0.662397563457489,all,18-20 yrs,127,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,96.800994873046875 +1986,19,0.662397563457489,MVA,18-20 yrs,63,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,48.01939010620117 +1986,19,0.662397563457489,suicide,18-20 yrs,19,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,14.482038497924805 +1986,19,0.662397563457489,homicide,18-20 yrs,6,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,4.573275089263916 +1986,19,0.662397563457489,other external,18-20 yrs,16,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,12.195401191711426 +1986,19,0.662397563457489,internal,18-20 yrs,23,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,17.5308895111084 +1986,19,0.662397563457489,all,21-24 yrs,150,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,80.839874267578125 +1986,19,0.662397563457489,MVA,21-24 yrs,52,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,28.02448844909668 +1986,19,0.662397563457489,suicide,21-24 yrs,34,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,18.32370376586914 +1986,19,0.662397563457489,homicide,21-24 yrs,7,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,3.7725274562835693 +1986,19,0.662397563457489,other external,21-24 yrs,25,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,13.473312377929688 +1986,19,0.662397563457489,internal,21-24 yrs,32,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,17.245840072631836 +1987,19,0.38995814323425293,MVA,15-17 yrs,41,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,32.420806884765625 +1987,19,0.38995814323425293,suicide,15-17 yrs,12,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.48901653289795 +1987,19,0.38995814323425293,homicide,15-17 yrs,1,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,0.7907513976097107 +1987,19,0.38995814323425293,other external,15-17 yrs,15,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,11.861270904541016 +1987,19,0.38995814323425293,internal,15-17 yrs,20,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,15.815027236938477 +1987,19,0.38995814323425293,all,18-20 yrs,118,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,91.71601867675781 +1987,19,0.38995814323425293,MVA,18-20 yrs,53,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,41.19448471069336 +1987,19,0.38995814323425293,suicide,18-20 yrs,19,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,14.767833709716797 +1987,19,0.38995814323425293,homicide,18-20 yrs,5,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,3.8862721920013428 +1987,19,0.38995814323425293,other external,18-20 yrs,12,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.32705307006836 +1987,19,0.38995814323425293,internal,18-20 yrs,29,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,22.54037857055664 +1987,19,0.38995814323425293,all,21-24 yrs,133,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,76.619964599609375 +1987,19,0.38995814323425293,MVA,21-24 yrs,55,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,31.684947967529297 +1987,19,0.38995814323425293,suicide,21-24 yrs,26,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,14.978339195251465 +1987,19,0.38995814323425293,homicide,21-24 yrs,5,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,2.8804497718811035 +1987,19,0.38995814323425293,other external,21-24 yrs,16,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.217439651489258 +1987,19,0.38995814323425293,internal,21-24 yrs,31,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,17.858789443969727 +1988,19,0.07195916026830673,MVA,15-17 yrs,38,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,31.66376495361328 +1988,19,0.07195916026830673,suicide,15-17 yrs,11,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,9.165826797485352 +1988,19,0.07195916026830673,homicide,15-17 yrs,1,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,0.8332569599151611 +1988,19,0.07195916026830673,other external,15-17 yrs,7,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,5.832798480987549 +1988,19,0.07195916026830673,internal,15-17 yrs,15,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,12.498854637145996 +1988,19,0.07195916026830673,all,18-20 yrs,114,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,87.69163513183594 +1988,19,0.07195916026830673,MVA,18-20 yrs,63,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,48.46116638183594 +1988,19,0.07195916026830673,suicide,18-20 yrs,19,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,14.615272521972656 +1988,19,0.07195916026830673,homicide,18-20 yrs,3,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,2.3076746463775635 +1988,19,0.07195916026830673,other external,18-20 yrs,16,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,12.307597160339355 +1988,19,0.07195916026830673,internal,18-20 yrs,13,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,9.999922752380371 +1988,19,0.07195916026830673,all,21-24 yrs,150,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,90.75123596191406 +1988,19,0.07195916026830673,MVA,21-24 yrs,75,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,45.37561798095703 +1988,19,0.07195916026830673,suicide,21-24 yrs,27,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,16.335222244262695 +1988,19,0.07195916026830673,homicide,21-24 yrs,4,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,2.4200329780578613 +1988,19,0.07195916026830673,other external,21-24 yrs,18,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,10.890149116516113 +1988,19,0.07195916026830673,internal,21-24 yrs,26,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,15.730215072631836 +1989,19,0,MVA,15-17 yrs,39,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,34.324337005615234 +1989,19,0,suicide,15-17 yrs,18,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,15.842002868652344 +1989,19,0,homicide,15-17 yrs,2,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,1.7602224349975586 +1989,19,0,other external,15-17 yrs,10,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,8.801112174987793 +1989,19,0,internal,15-17 yrs,20,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,17.602224349975586 +1989,19,0,all,18-20 yrs,113,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,85.36741638183594 +1989,19,0,MVA,18-20 yrs,69,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,52.127010345458984 +1989,19,0,suicide,18-20 yrs,14,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,10.576494216918945 +1989,19,0,homicide,18-20 yrs,6,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,4.532783508300781 +1989,19,0,other external,18-20 yrs,7,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,5.288247108459473 +1989,19,0,internal,18-20 yrs,17,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,12.842885971069336 +1989,19,0,all,21-24 yrs,126,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,80.599761962890625 +1989,19,0,MVA,21-24 yrs,45,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,28.785629272460938 +1989,19,0,suicide,21-24 yrs,17,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,10.874571800231934 +1989,19,0,homicide,21-24 yrs,10,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,6.396806716918945 +1989,19,0,other external,21-24 yrs,18,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,11.514251708984375 +1989,19,0,internal,21-24 yrs,36,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,23.02850341796875 +1990,19,0,MVA,15-17 yrs,28,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,24.81917381286621 +1990,19,0,suicide,15-17 yrs,7,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,6.204793453216553 +1990,19,0,homicide,15-17 yrs,2,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,1.7727981805801392 +1990,19,0,other external,15-17 yrs,8,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,7.091192722320557 +1990,19,0,internal,15-17 yrs,12,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,10.636789321899414 +1990,19,0,all,18-20 yrs,125,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,95.24535369873047 +1990,19,0,MVA,18-20 yrs,62,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,47.241695404052734 +1990,19,0,suicide,18-20 yrs,28,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,21.334959030151367 +1990,19,0,homicide,18-20 yrs,3,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,2.285888433456421 +1990,19,0,other external,18-20 yrs,17,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,12.953368186950684 +1990,19,0,internal,18-20 yrs,15,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,11.429442405700684 +1990,19,0,all,21-24 yrs,131,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,85.515838623046875 +1990,19,0,MVA,21-24 yrs,61,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,39.820350646972656 +1990,19,0,suicide,21-24 yrs,29,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,18.930986404418945 +1990,19,0,homicide,21-24 yrs,5,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,3.263963222503662 +1990,19,0,other external,21-24 yrs,14,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,9.139097213745117 +1990,19,0,internal,21-24 yrs,22,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,14.361437797546387 +1991,19,0,MVA,15-17 yrs,41,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,35.62615203857422 +1991,19,0,suicide,15-17 yrs,14,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,12.165027618408203 +1991,19,0,homicide,15-17 yrs,8,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,6.951444149017334 +1991,19,0,other external,15-17 yrs,13,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,11.296096801757812 +1991,19,0,internal,15-17 yrs,12,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,10.427165985107422 +1991,19,0,all,18-20 yrs,113,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,91.10552215576172 +1991,19,0,MVA,18-20 yrs,51,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,41.1184196472168 +1991,19,0,suicide,18-20 yrs,19,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,15.31862735748291 +1991,19,0,homicide,18-20 yrs,6,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,4.837461471557617 +1991,19,0,other external,18-20 yrs,12,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,9.674922943115234 +1991,19,0,internal,18-20 yrs,25,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,20.15608787536621 +1991,19,0,all,21-24 yrs,130,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,82.30036163330078 +1991,19,0,MVA,21-24 yrs,50,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,31.65398406982422 +1991,19,0,suicide,21-24 yrs,26,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,16.460071563720703 +1991,19,0,homicide,21-24 yrs,7,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,4.431557655334473 +1991,19,0,other external,21-24 yrs,12,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,7.596956253051758 +1991,19,0,internal,21-24 yrs,35,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,22.15778923034668 +1992,19,0,MVA,15-17 yrs,23,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,19.30194091796875 +1992,19,0,suicide,15-17 yrs,14,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,11.749007225036621 +1992,19,0,homicide,15-17 yrs,3,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,2.5176444053649902 +1992,19,0,other external,15-17 yrs,6,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,5.0352888107299805 +1992,19,0,internal,15-17 yrs,18,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,15.105867385864258 +1992,19,0,all,18-20 yrs,97,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,83.0849380493164 +1992,19,0,MVA,18-20 yrs,50,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,42.82728576660156 +1992,19,0,suicide,18-20 yrs,15,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,12.848185539245605 +1992,19,0,homicide,18-20 yrs,3,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,2.5696370601654053 +1992,19,0,other external,18-20 yrs,9,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,7.708911418914795 +1992,19,0,internal,18-20 yrs,20,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,17.13091468811035 +1992,19,0,all,21-24 yrs,117,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,71.32493591308594 +1992,19,0,MVA,21-24 yrs,43,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,26.213438034057617 +1992,19,0,suicide,21-24 yrs,30,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,18.28844451904297 +1992,19,0,homicide,21-24 yrs,7,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,4.267303943634033 +1992,19,0,other external,21-24 yrs,15,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,9.144222259521484 +1992,19,0,internal,21-24 yrs,22,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,13.411526679992676 +1993,19,0,MVA,15-17 yrs,42,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,34.26250076293945 +1993,19,0,suicide,15-17 yrs,14,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,11.420833587646484 +1993,19,0,homicide,15-17 yrs,4,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,3.2630951404571533 +1993,19,0,other external,15-17 yrs,7,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,5.710416793823242 +1993,19,0,internal,15-17 yrs,17,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,13.868154525756836 +1993,19,0,all,18-20 yrs,89,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,77.17521667480469 +1993,19,0,MVA,18-20 yrs,41,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,35.55262756347656 +1993,19,0,suicide,18-20 yrs,17,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,14.7413330078125 +1993,19,0,homicide,18-20 yrs,6,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,5.202823162078857 +1993,19,0,other external,18-20 yrs,5,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,4.335686206817627 +1993,19,0,internal,18-20 yrs,20,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,17.342744827270508 +1993,19,0,all,21-24 yrs,132,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,80.43924713134766 +1993,19,0,MVA,21-24 yrs,56,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,34.12574005126953 +1993,19,0,suicide,21-24 yrs,23,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,14.015929222106934 +1993,19,0,homicide,21-24 yrs,6,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,3.656329393386841 +1993,19,0,other external,21-24 yrs,20,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,12.187765121459961 +1993,19,0,internal,21-24 yrs,27,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,16.453481674194336 +1994,19,0,MVA,15-17 yrs,39,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,30.693435668945312 +1994,19,0,suicide,15-17 yrs,18,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,14.166200637817383 +1994,19,0,homicide,15-17 yrs,3,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,2.3610334396362305 +1994,19,0,other external,15-17 yrs,8,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,6.296089172363281 +1994,19,0,internal,15-17 yrs,18,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,14.166200637817383 +1994,19,0,all,18-20 yrs,105,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,89.29558563232422 +1994,19,0,MVA,18-20 yrs,42,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,35.71823501586914 +1994,19,0,suicide,18-20 yrs,28,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,23.812156677246094 +1994,19,0,homicide,18-20 yrs,5,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.252170562744141 +1994,19,0,other external,18-20 yrs,5,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.252170562744141 +1994,19,0,internal,18-20 yrs,25,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,21.260852813720703 +1994,19,0,all,21-24 yrs,146,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,92.144378662109375 +1994,19,0,MVA,21-24 yrs,53,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,33.44967269897461 +1994,19,0,suicide,21-24 yrs,27,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,17.04039764404297 +1994,19,0,homicide,21-24 yrs,7,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.417881011962891 +1994,19,0,other external,21-24 yrs,20,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,12.622517585754395 +1994,19,0,internal,21-24 yrs,39,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,24.613908767700195 +1995,19,0,MVA,15-17 yrs,45,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,34.139015197753906 +1995,19,0,suicide,15-17 yrs,14,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,10.621026992797852 +1995,19,0,homicide,15-17 yrs,3,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,2.2759342193603516 +1995,19,0,other external,15-17 yrs,7,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.310513496398926 +1995,19,0,internal,15-17 yrs,17,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,12.896961212158203 +1995,19,0,all,18-20 yrs,103,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,84.2839126586914 +1995,19,0,MVA,18-20 yrs,44,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,36.00477981567383 +1995,19,0,suicide,18-20 yrs,23,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,18.820680618286133 +1995,19,0,homicide,18-20 yrs,6,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,4.90974235534668 +1995,19,0,other external,18-20 yrs,14,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,11.456066131591797 +1995,19,0,internal,18-20 yrs,16,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,13.092646598815918 +1995,19,0,all,21-24 yrs,129,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,85.49727630615234 +1995,19,0,MVA,21-24 yrs,62,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,41.091712951660156 +1995,19,0,suicide,21-24 yrs,21,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,13.918161392211914 +1995,19,0,homicide,21-24 yrs,9,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.964926242828369 +1995,19,0,other external,21-24 yrs,9,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.964926242828369 +1995,19,0,internal,21-24 yrs,28,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,18.55754852294922 +1996,19,0,MVA,15-17 yrs,33,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,24.399080276489258 +1996,19,0,suicide,15-17 yrs,8,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,5.914928436279297 +1996,19,0,homicide,15-17 yrs,6,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,4.436196327209473 +1996,19,0,other external,15-17 yrs,10,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,7.393660545349121 +1996,19,0,internal,15-17 yrs,13,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,9.611759185791016 +1996,19,0,all,18-20 yrs,113,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,90.42676544189453 +1996,19,0,MVA,18-20 yrs,53,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,42.41255569458008 +1996,19,0,suicide,18-20 yrs,23,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.40544891357422 +1996,19,0,homicide,18-20 yrs,5,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,4.001184463500977 +1996,19,0,other external,18-20 yrs,9,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,7.202131748199463 +1996,19,0,internal,18-20 yrs,23,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.40544891357422 +1996,19,0,all,21-24 yrs,107,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,74.11974334716797 +1996,19,0,MVA,21-24 yrs,47,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,32.55727005004883 +1996,19,0,suicide,21-24 yrs,24,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,16.624988555908203 +1996,19,0,homicide,21-24 yrs,5,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,3.4635393619537354 +1996,19,0,other external,21-24 yrs,5,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,3.4635393619537354 +1996,19,0,internal,21-24 yrs,26,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.010404586791992 +1970,20,1,MVA,15-17 yrs,57,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,43.29859161376953 +1970,20,1,suicide,15-17 yrs,5,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.7981221675872803 +1970,20,1,homicide,15-17 yrs,4,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.0384976863861084 +1970,20,1,other external,15-17 yrs,29,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,22.02910804748535 +1970,20,1,internal,15-17 yrs,24,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,18.230987548828125 +1970,20,1,all,18-20 yrs,190,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,148.52685546875 +1970,20,1,MVA,18-20 yrs,103,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,80.5171890258789 +1970,20,1,suicide,18-20 yrs,8,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,6.253762245178223 +1970,20,1,homicide,18-20 yrs,5,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.9086012840270996 +1970,20,1,other external,18-20 yrs,37,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,28.923648834228516 +1970,20,1,internal,18-20 yrs,37,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,28.923648834228516 +1970,20,1,all,21-24 yrs,180,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,122.72699737548828 +1970,20,1,MVA,21-24 yrs,77,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,52.499881744384766 +1970,20,1,suicide,21-24 yrs,19,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,12.954516410827637 +1970,20,1,homicide,21-24 yrs,11,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,7.499982833862305 +1970,20,1,other external,21-24 yrs,30,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,20.454498291015625 +1970,20,1,internal,21-24 yrs,43,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,29.318115234375 +1971,20,1,MVA,15-17 yrs,71,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,53.7353630065918 +1971,20,1,suicide,15-17 yrs,3,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,2.270508289337158 +1971,20,1,homicide,15-17 yrs,4,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,3.0273444652557373 +1971,20,1,other external,15-17 yrs,16,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,12.10937786102295 +1971,20,1,internal,15-17 yrs,27,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,20.4345760345459 +1971,20,1,all,18-20 yrs,186,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,141.38143920898438 +1971,20,1,MVA,18-20 yrs,100,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,76.01152038574219 +1971,20,1,suicide,18-20 yrs,7,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,5.320806503295898 +1971,20,1,homicide,18-20 yrs,11,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,8.361268043518066 +1971,20,1,other external,18-20 yrs,24,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,18.242765426635742 +1971,20,1,internal,18-20 yrs,44,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,33.445072174072266 +1971,20,1,all,21-24 yrs,190,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,119.50587463378906 +1971,20,1,MVA,21-24 yrs,82,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,51.57622146606445 +1971,20,1,suicide,21-24 yrs,12,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,7.547739505767822 +1971,20,1,homicide,21-24 yrs,16,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,10.063652992248535 +1971,20,1,other external,21-24 yrs,29,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,18.24036979675293 +1971,20,1,internal,21-24 yrs,51,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,32.0778923034668 +1972,20,1,MVA,15-17 yrs,46,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,34.466224670410156 +1972,20,1,suicide,15-17 yrs,8,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,5.994125843048096 +1972,20,1,homicide,15-17 yrs,0,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,0 +1972,20,1,other external,15-17 yrs,26,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,19.48090934753418 +1972,20,1,internal,15-17 yrs,20,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,14.98531436920166 +1972,20,1,all,18-20 yrs,182,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,133.75762939453125 +1972,20,1,MVA,18-20 yrs,90,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,66.14388275146484 +1972,20,1,suicide,18-20 yrs,20,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,14.698640823364258 +1972,20,1,homicide,18-20 yrs,6,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,4.409592151641846 +1972,20,1,other external,18-20 yrs,32,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,23.517826080322266 +1972,20,1,internal,18-20 yrs,34,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,24.987689971923828 +1972,20,1,all,21-24 yrs,190,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,119.44727325439453 +1972,20,1,MVA,21-24 yrs,78,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,49.03624725341797 +1972,20,1,suicide,21-24 yrs,26,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,16.345417022705078 +1972,20,1,homicide,21-24 yrs,16,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,10.058717727661133 +1972,20,1,other external,21-24 yrs,32,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,20.117435455322266 +1972,20,1,internal,21-24 yrs,38,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,23.889453887939453 +1973,20,1,MVA,15-17 yrs,60,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,44.7000617980957 +1973,20,1,suicide,15-17 yrs,7,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,5.215007305145264 +1973,20,1,homicide,15-17 yrs,4,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,2.980004072189331 +1973,20,1,other external,15-17 yrs,37,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,27.565038681030273 +1973,20,1,internal,15-17 yrs,26,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,19.370027542114258 +1973,20,1,all,18-20 yrs,184,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,132.13075256347656 +1973,20,1,MVA,18-20 yrs,86,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,61.75676345825195 +1973,20,1,suicide,18-20 yrs,16,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,11.489630699157715 +1973,20,1,homicide,18-20 yrs,9,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,6.462917327880859 +1973,20,1,other external,18-20 yrs,46,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,33.03268814086914 +1973,20,1,internal,18-20 yrs,27,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,19.388751983642578 +1973,20,1,all,21-24 yrs,176,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,109.9429702758789 +1973,20,1,MVA,21-24 yrs,74,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,46.22602081298828 +1973,20,1,suicide,21-24 yrs,18,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,11.24416732788086 +1973,20,1,homicide,21-24 yrs,16,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,9.9948148727417 +1973,20,1,other external,21-24 yrs,34,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,21.238983154296875 +1973,20,1,internal,21-24 yrs,34,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,21.238983154296875 +1974,20,1,MVA,15-17 yrs,57,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,42.29051208496094 +1974,20,1,suicide,15-17 yrs,6,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,4.451632976531982 +1974,20,1,homicide,15-17 yrs,4,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,2.9677553176879883 +1974,20,1,other external,15-17 yrs,23,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,17.064592361450195 +1974,20,1,internal,15-17 yrs,31,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,23.000102996826172 +1974,20,1,all,18-20 yrs,158,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,112.7508316040039 +1974,20,1,MVA,18-20 yrs,55,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,39.24870681762695 +1974,20,1,suicide,18-20 yrs,9,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,6.422515869140625 +1974,20,1,homicide,18-20 yrs,12,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,8.5633544921875 +1974,20,1,other external,18-20 yrs,53,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,37.82148361206055 +1974,20,1,internal,18-20 yrs,29,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,20.694772720336914 +1974,20,1,all,21-24 yrs,205,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,127.76486206054688 +1974,20,1,MVA,21-24 yrs,71,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,44.25027084350586 +1974,20,1,suicide,21-24 yrs,21,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,13.08810806274414 +1974,20,1,homicide,21-24 yrs,17,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,10.595134735107422 +1974,20,1,other external,21-24 yrs,45,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,28.04594612121582 +1974,20,1,internal,21-24 yrs,51,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,31.785404205322266 +1975,20,1,MVA,15-17 yrs,49,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,36.50450897216797 +1975,20,1,suicide,15-17 yrs,17,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,12.66482925415039 +1975,20,1,homicide,15-17 yrs,3,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,2.2349698543548584 +1975,20,1,other external,15-17 yrs,35,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,26.074647903442383 +1975,20,1,internal,15-17 yrs,26,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,19.36973762512207 +1975,20,1,all,18-20 yrs,155,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,109.4679183959961 +1975,20,1,MVA,18-20 yrs,62,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,43.787166595458984 +1975,20,1,suicide,18-20 yrs,10,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.062446117401123 +1975,20,1,homicide,18-20 yrs,10,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.062446117401123 +1975,20,1,other external,18-20 yrs,37,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,26.13105010986328 +1975,20,1,internal,18-20 yrs,36,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,25.424806594848633 +1975,20,1,all,21-24 yrs,206,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,124.5412826538086 +1975,20,1,MVA,21-24 yrs,80,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,48.36554718017578 +1975,20,1,suicide,21-24 yrs,18,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,10.882247924804688 +1975,20,1,homicide,21-24 yrs,13,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.859401226043701 +1975,20,1,other external,21-24 yrs,48,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,29.01932716369629 +1975,20,1,internal,21-24 yrs,47,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,28.414758682250977 +1976,20,1,MVA,15-17 yrs,61,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,45.14973449707031 +1976,20,1,suicide,15-17 yrs,3,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,2.2204787731170654 +1976,20,1,homicide,15-17 yrs,2,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,1.4803191423416138 +1976,20,1,other external,15-17 yrs,19,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,14.063032150268555 +1976,20,1,internal,15-17 yrs,25,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,18.503990173339844 +1976,20,1,all,18-20 yrs,165,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,115.17601013183594 +1976,20,1,MVA,18-20 yrs,80,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,55.84291458129883 +1976,20,1,suicide,18-20 yrs,22,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,15.35680103302002 +1976,20,1,homicide,18-20 yrs,4,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,2.7921457290649414 +1976,20,1,other external,18-20 yrs,36,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,25.129310607910156 +1976,20,1,internal,18-20 yrs,23,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,16.054838180541992 +1976,20,1,all,21-24 yrs,231,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,134.6868133544922 +1976,20,1,MVA,21-24 yrs,88,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,51.309261322021484 +1976,20,1,suicide,21-24 yrs,27,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,15.742613792419434 +1976,20,1,homicide,21-24 yrs,19,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,11.07813549041748 +1976,20,1,other external,21-24 yrs,44,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,25.654630661010742 +1976,20,1,internal,21-24 yrs,53,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,30.90216827392578 +1977,20,1,MVA,15-17 yrs,49,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,36.43610382080078 +1977,20,1,suicide,15-17 yrs,5,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,3.7179696559906006 +1977,20,1,homicide,15-17 yrs,4,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,2.9743757247924805 +1977,20,1,other external,15-17 yrs,28,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,20.82063102722168 +1977,20,1,internal,15-17 yrs,26,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,19.33344268798828 +1977,20,1,all,18-20 yrs,203,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,140.41543579101562 +1977,20,1,MVA,18-20 yrs,100,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,69.170166015625 +1977,20,1,suicide,18-20 yrs,18,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,12.450630187988281 +1977,20,1,homicide,18-20 yrs,20,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,13.834033012390137 +1977,20,1,other external,18-20 yrs,31,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,21.442750930786133 +1977,20,1,internal,18-20 yrs,34,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,23.51785659790039 +1977,20,1,all,21-24 yrs,227,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,128.8023681640625 +1977,20,1,MVA,21-24 yrs,86,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,48.79737091064453 +1977,20,1,suicide,21-24 yrs,40,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.69645118713379 +1977,20,1,homicide,21-24 yrs,22,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,12.483048439025879 +1977,20,1,other external,21-24 yrs,40,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.69645118713379 +1977,20,1,internal,21-24 yrs,39,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.129039764404297 +1978,20,1,MVA,15-17 yrs,51,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,38.512367248535156 +1978,20,1,suicide,15-17 yrs,6,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,4.530866622924805 +1978,20,1,homicide,15-17 yrs,3,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,2.2654333114624023 +1978,20,1,other external,15-17 yrs,25,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,18.878610610961914 +1978,20,1,internal,15-17 yrs,34,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,25.674909591674805 +1978,20,1,all,18-20 yrs,184,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,127.56074523925781 +1978,20,1,MVA,18-20 yrs,82,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,56.84772491455078 +1978,20,1,suicide,18-20 yrs,23,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,15.945093154907227 +1978,20,1,homicide,18-20 yrs,10,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,6.9326491355896 +1978,20,1,other external,18-20 yrs,35,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.264272689819336 +1978,20,1,internal,18-20 yrs,34,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,23.571006774902344 +1978,20,1,all,21-24 yrs,222,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,123.18072509765625 +1978,20,1,MVA,21-24 yrs,82,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,45.49918746948242 +1978,20,1,suicide,21-24 yrs,30,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,16.64604377746582 +1978,20,1,homicide,21-24 yrs,20,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,11.097362518310547 +1978,20,1,other external,21-24 yrs,45,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.969066619873047 +1978,20,1,internal,21-24 yrs,45,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.969066619873047 +1979,20,1,MVA,15-17 yrs,48,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,37.449092864990234 +1979,20,1,suicide,15-17 yrs,5,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,3.900947093963623 +1979,20,1,homicide,15-17 yrs,2,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,1.560378909111023 +1979,20,1,other external,15-17 yrs,9,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,7.02170467376709 +1979,20,1,internal,15-17 yrs,19,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,14.823598861694336 +1979,20,1,all,18-20 yrs,190,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,131.09596252441406 +1979,20,1,MVA,18-20 yrs,85,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,58.648193359375 +1979,20,1,suicide,18-20 yrs,19,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,13.109596252441406 +1979,20,1,homicide,18-20 yrs,22,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,15.179532051086426 +1979,20,1,other external,18-20 yrs,34,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,23.459278106689453 +1979,20,1,internal,18-20 yrs,30,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,20.69936180114746 +1979,20,1,all,21-24 yrs,231,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,126.43885803222656 +1979,20,1,MVA,21-24 yrs,89,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,48.71453857421875 +1979,20,1,suicide,21-24 yrs,29,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,15.873276710510254 +1979,20,1,homicide,21-24 yrs,23,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,12.589150428771973 +1979,20,1,other external,21-24 yrs,44,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,24.08359146118164 +1979,20,1,internal,21-24 yrs,46,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,25.178300857543945 +1980,20,1,MVA,15-17 yrs,49,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,40.017967224121094 +1980,20,1,suicide,15-17 yrs,3,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,2.4500796794891357 +1980,20,1,homicide,15-17 yrs,5,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,4.083466053009033 +1980,20,1,other external,15-17 yrs,10,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,8.166932106018066 +1980,20,1,internal,15-17 yrs,20,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,16.333864212036133 +1980,20,1,all,18-20 yrs,188,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,132.2583770751953 +1980,20,1,MVA,18-20 yrs,83,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,58.39066696166992 +1980,20,1,suicide,18-20 yrs,26,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,18.291053771972656 +1980,20,1,homicide,18-20 yrs,16,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,11.256032943725586 +1980,20,1,other external,18-20 yrs,38,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,26.733078002929688 +1980,20,1,internal,18-20 yrs,25,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,17.58755111694336 +1980,20,1,all,21-24 yrs,245,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,132.60374450683594 +1980,20,1,MVA,21-24 yrs,96,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,51.95901870727539 +1980,20,1,suicide,21-24 yrs,34,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,18.402151107788086 +1980,20,1,homicide,21-24 yrs,29,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,15.695953369140625 +1980,20,1,other external,21-24 yrs,42,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,22.732070922851562 +1980,20,1,internal,21-24 yrs,44,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,23.814550399780273 +1981,20,1,MVA,15-17 yrs,38,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,32.872825622558594 +1981,20,1,suicide,15-17 yrs,8,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,6.920594692230225 +1981,20,1,homicide,15-17 yrs,2,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,1.7301486730575562 +1981,20,1,other external,15-17 yrs,15,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,12.976115226745605 +1981,20,1,internal,15-17 yrs,21,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,18.166561126708984 +1981,20,1,all,18-20 yrs,167,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,121.08380889892578 +1981,20,1,MVA,18-20 yrs,80,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,58.00421905517578 +1981,20,1,suicide,18-20 yrs,14,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,10.150738716125488 +1981,20,1,homicide,18-20 yrs,12,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,8.70063304901123 +1981,20,1,other external,18-20 yrs,37,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,26.82695198059082 +1981,20,1,internal,18-20 yrs,24,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,17.40126609802246 +1981,20,1,all,21-24 yrs,212,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,112.92453002929688 +1981,20,1,MVA,21-24 yrs,81,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,43.145694732666016 +1981,20,1,suicide,21-24 yrs,28,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,14.91456127166748 +1981,20,1,homicide,21-24 yrs,22,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,11.718583106994629 +1981,20,1,other external,21-24 yrs,36,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,19.17586326599121 +1981,20,1,internal,21-24 yrs,45,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,23.969829559326172 +1982,20,1,MVA,15-17 yrs,27,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,24.797260284423828 +1982,20,1,suicide,15-17 yrs,1,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,0.9184170365333557 +1982,20,1,homicide,15-17 yrs,5,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,4.592084884643555 +1982,20,1,other external,15-17 yrs,6,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,5.510501861572266 +1982,20,1,internal,15-17 yrs,15,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,13.77625560760498 +1982,20,1,all,18-20 yrs,136,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,102.94607543945312 +1982,20,1,MVA,18-20 yrs,63,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,47.688255310058594 +1982,20,1,suicide,18-20 yrs,16,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,12.111303329467773 +1982,20,1,homicide,18-20 yrs,7,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,5.298695087432861 +1982,20,1,other external,18-20 yrs,24,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,18.166954040527344 +1982,20,1,internal,18-20 yrs,26,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,19.680866241455078 +1982,20,1,all,21-24 yrs,189,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,100.12873840332031 +1982,20,1,MVA,21-24 yrs,83,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,43.97187805175781 +1982,20,1,suicide,21-24 yrs,26,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,13.774323463439941 +1982,20,1,homicide,21-24 yrs,17,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,9.006288528442383 +1982,20,1,other external,21-24 yrs,29,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,15.363668441772461 +1982,20,1,internal,21-24 yrs,34,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,18.012577056884766 +1983,20,1,MVA,15-17 yrs,30,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,28.8062686920166 +1983,20,1,suicide,15-17 yrs,6,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,5.761253833770752 +1983,20,1,homicide,15-17 yrs,6,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,5.761253833770752 +1983,20,1,other external,15-17 yrs,11,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,10.562298774719238 +1983,20,1,internal,15-17 yrs,21,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,20.16438865661621 +1983,20,1,all,18-20 yrs,144,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,113.50111389160156 +1983,20,1,MVA,18-20 yrs,66,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,52.02134323120117 +1983,20,1,suicide,18-20 yrs,24,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,18.916852951049805 +1983,20,1,homicide,18-20 yrs,14,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,11.034831047058105 +1983,20,1,other external,18-20 yrs,17,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,13.399436950683594 +1983,20,1,internal,18-20 yrs,23,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,18.128650665283203 +1983,20,1,all,21-24 yrs,157,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,83.90606689453125 +1983,20,1,MVA,21-24 yrs,63,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,33.669315338134766 +1983,20,1,suicide,21-24 yrs,23,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,12.291972160339355 +1983,20,1,homicide,21-24 yrs,14,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,7.482069969177246 +1983,20,1,other external,21-24 yrs,29,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,15.498573303222656 +1983,20,1,internal,21-24 yrs,28,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,14.964139938354492 +1984,20,1,MVA,15-17 yrs,35,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,33.972007751464844 +1984,20,1,suicide,15-17 yrs,8,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,7.765030384063721 +1984,20,1,homicide,15-17 yrs,1,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,0.9706287980079651 +1984,20,1,other external,15-17 yrs,12,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,11.647544860839844 +1984,20,1,internal,15-17 yrs,13,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.618173599243164 +1984,20,1,all,18-20 yrs,136,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,113.26725769042969 +1984,20,1,MVA,18-20 yrs,69,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,57.46647644042969 +1984,20,1,suicide,18-20 yrs,15,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.49271297454834 +1984,20,1,homicide,18-20 yrs,6,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,4.997085094451904 +1984,20,1,other external,18-20 yrs,15,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.49271297454834 +1984,20,1,internal,18-20 yrs,31,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,25.818273544311523 +1984,20,1,all,21-24 yrs,170,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,93.26822662353516 +1984,20,1,MVA,21-24 yrs,70,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,38.404563903808594 +1984,20,1,suicide,21-24 yrs,24,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,13.167279243469238 +1984,20,1,homicide,21-24 yrs,16,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,8.778185844421387 +1984,20,1,other external,21-24 yrs,28,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,15.361825942993164 +1984,20,1,internal,21-24 yrs,32,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,17.556371688842773 +1985,20,0.9611555933952332,MVA,15-17 yrs,28,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,26.830459594726562 +1985,20,0.9611555933952332,suicide,15-17 yrs,10,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,9.582306861877441 +1985,20,0.9611555933952332,homicide,15-17 yrs,4,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,3.83292293548584 +1985,20,0.9611555933952332,other external,15-17 yrs,12,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,11.49876880645752 +1985,20,0.9611555933952332,internal,15-17 yrs,18,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,17.248153686523438 +1985,20,0.9611555933952332,all,18-20 yrs,111,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,98.0002670288086 +1985,20,0.9611555933952332,MVA,18-20 yrs,62,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,54.738887786865234 +1985,20,0.9611555933952332,suicide,18-20 yrs,10,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,8.828852653503418 +1985,20,0.9611555933952332,homicide,18-20 yrs,7,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,6.180196762084961 +1985,20,0.9611555933952332,other external,18-20 yrs,14,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,12.360393524169922 +1985,20,0.9611555933952332,internal,18-20 yrs,18,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,15.891934394836426 +1985,20,0.9611555933952332,all,21-24 yrs,177,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,100.8702163696289 +1985,20,0.9611555933952332,MVA,21-24 yrs,69,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,39.322288513183594 +1985,20,0.9611555933952332,suicide,21-24 yrs,25,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,14.24720573425293 +1985,20,0.9611555933952332,homicide,21-24 yrs,12,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,6.838658809661865 +1985,20,0.9611555933952332,other external,21-24 yrs,26,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,14.817094802856445 +1985,20,0.9611555933952332,internal,21-24 yrs,45,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,25.64497184753418 +1986,20,0.6844111084938049,MVA,15-17 yrs,40,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,37.54176712036133 +1986,20,0.6844111084938049,suicide,15-17 yrs,6,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,5.631264686584473 +1986,20,0.6844111084938049,homicide,15-17 yrs,3,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,2.8156323432922363 +1986,20,0.6844111084938049,other external,15-17 yrs,10,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,9.385441780090332 +1986,20,0.6844111084938049,internal,15-17 yrs,16,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,15.016706466674805 +1986,20,0.6844111084938049,all,18-20 yrs,131,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,120.24857330322266 +1986,20,0.6844111084938049,MVA,18-20 yrs,67,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,61.50117874145508 +1986,20,0.6844111084938049,suicide,18-20 yrs,26,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,23.86612892150879 +1986,20,0.6844111084938049,homicide,18-20 yrs,4,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,3.6717121601104736 +1986,20,0.6844111084938049,other external,18-20 yrs,13,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,11.933064460754395 +1986,20,0.6844111084938049,internal,18-20 yrs,21,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,19.2764892578125 +1986,20,0.6844111084938049,all,21-24 yrs,154,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,92.23600769042969 +1986,20,0.6844111084938049,MVA,21-24 yrs,60,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,35.93610382080078 +1986,20,0.6844111084938049,suicide,21-24 yrs,24,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,14.374442100524902 +1986,20,0.6844111084938049,homicide,21-24 yrs,16,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,9.582961082458496 +1986,20,0.6844111084938049,other external,21-24 yrs,23,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,13.775506973266602 +1986,20,0.6844111084938049,internal,21-24 yrs,31,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,18.566987991333008 +1987,20,0.339570015668869,MVA,15-17 yrs,40,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,37.95714569091797 +1987,20,0.339570015668869,suicide,15-17 yrs,14,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,13.285000801086426 +1987,20,0.339570015668869,homicide,15-17 yrs,6,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,5.693572044372559 +1987,20,0.339570015668869,other external,15-17 yrs,5,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,4.744643211364746 +1987,20,0.339570015668869,internal,15-17 yrs,13,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,12.33607292175293 +1987,20,0.339570015668869,all,18-20 yrs,117,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,107.91963958740234 +1987,20,0.339570015668869,MVA,18-20 yrs,61,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,56.26579666137695 +1987,20,0.339570015668869,suicide,18-20 yrs,18,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,16.6030216217041 +1987,20,0.339570015668869,homicide,18-20 yrs,8,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,7.379120826721191 +1987,20,0.339570015668869,other external,18-20 yrs,14,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,12.913461685180664 +1987,20,0.339570015668869,internal,18-20 yrs,16,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,14.758241653442383 +1987,20,0.339570015668869,all,21-24 yrs,168,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,106.07868957519531 +1987,20,0.339570015668869,MVA,21-24 yrs,74,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,46.725135803222656 +1987,20,0.339570015668869,suicide,21-24 yrs,26,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,16.416940689086914 +1987,20,0.339570015668869,homicide,21-24 yrs,11,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,6.9456281661987305 +1987,20,0.339570015668869,other external,21-24 yrs,23,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,14.522677421569824 +1987,20,0.339570015668869,internal,21-24 yrs,34,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,21.468305587768555 +1988,20,0.041027460247278214,MVA,15-17 yrs,34,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,33.2928581237793 +1988,20,0.041027460247278214,suicide,15-17 yrs,13,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.729622840881348 +1988,20,0.041027460247278214,homicide,15-17 yrs,3,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,2.937605381011963 +1988,20,0.041027460247278214,other external,15-17 yrs,9,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,8.81281566619873 +1988,20,0.041027460247278214,internal,15-17 yrs,15,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,14.688026428222656 +1988,20,0.041027460247278214,all,18-20 yrs,124,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,111.55794525146484 +1988,20,0.041027460247278214,MVA,18-20 yrs,59,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,53.07999038696289 +1988,20,0.041027460247278214,suicide,18-20 yrs,23,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,20.69219970703125 +1988,20,0.041027460247278214,homicide,18-20 yrs,6,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,5.397964954376221 +1988,20,0.041027460247278214,other external,18-20 yrs,14,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.59525203704834 +1988,20,0.041027460247278214,internal,18-20 yrs,22,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,19.792537689208984 +1988,20,0.041027460247278214,all,21-24 yrs,144,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,95.16822814941406 +1988,20,0.041027460247278214,MVA,21-24 yrs,54,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,35.688087463378906 +1988,20,0.041027460247278214,suicide,21-24 yrs,25,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,16.522262573242188 +1988,20,0.041027460247278214,homicide,21-24 yrs,18,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,11.896028518676758 +1988,20,0.041027460247278214,other external,21-24 yrs,19,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.55691909790039 +1988,20,0.041027460247278214,internal,21-24 yrs,28,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,18.504934310913086 +1989,20,0,MVA,15-17 yrs,34,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,34.6408576965332 +1989,20,0,suicide,15-17 yrs,12,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,12.226184844970703 +1989,20,0,homicide,15-17 yrs,7,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,7.131940841674805 +1989,20,0,other external,15-17 yrs,11,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,11.207335472106934 +1989,20,0,internal,15-17 yrs,17,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,17.3204288482666 +1989,20,0,all,18-20 yrs,116,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,101.30738830566406 +1989,20,0,MVA,18-20 yrs,49,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,42.79364013671875 +1989,20,0,suicide,18-20 yrs,15,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,13.100093841552734 +1989,20,0,homicide,18-20 yrs,14,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,12.226754188537598 +1989,20,0,other external,18-20 yrs,11,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,9.6067352294921875 +1989,20,0,internal,18-20 yrs,27,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,23.580167770385742 +1989,20,0,all,21-24 yrs,127,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,88.12467956542969 +1989,20,0,MVA,21-24 yrs,49,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,34.00086212158203 +1989,20,0,suicide,21-24 yrs,20,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,13.877902030944824 +1989,20,0,homicide,21-24 yrs,12,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,8.326741218566895 +1989,20,0,other external,21-24 yrs,16,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,11.10232162475586 +1989,20,0,internal,21-24 yrs,30,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,20.816852569580078 +1990,20,0,MVA,15-17 yrs,34,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,34.655330657958984 +1990,20,0,suicide,15-17 yrs,9,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.173470497131348 +1990,20,0,homicide,15-17 yrs,5,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,5.096372604370117 +1990,20,0,other external,15-17 yrs,7,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,7.134921550750732 +1990,20,0,internal,15-17 yrs,13,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,13.250568389892578 +1990,20,0,all,18-20 yrs,104,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,91.51304626464844 +1990,20,0,MVA,18-20 yrs,49,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,43.116722106933594 +1990,20,0,suicide,18-20 yrs,17,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,14.958863258361816 +1990,20,0,homicide,18-20 yrs,14,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,12.319064140319824 +1990,20,0,other external,18-20 yrs,13,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,11.439130783081055 +1990,20,0,internal,18-20 yrs,11,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.679264068603516 +1990,20,0,all,21-24 yrs,117,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,82.65221405029297 +1990,20,0,MVA,21-24 yrs,48,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,33.90860366821289 +1990,20,0,suicide,21-24 yrs,22,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,15.54144287109375 +1990,20,0,homicide,21-24 yrs,9,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,6.357862949371338 +1990,20,0,other external,21-24 yrs,14,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.890008926391602 +1990,20,0,internal,21-24 yrs,24,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,16.954301834106445 +1991,20,0,MVA,15-17 yrs,29,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,28.899717330932617 +1991,20,0,suicide,15-17 yrs,15,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,14.948129653930664 +1991,20,0,homicide,15-17 yrs,9,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,8.968877792358398 +1991,20,0,other external,15-17 yrs,12,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,11.958503723144531 +1991,20,0,internal,15-17 yrs,19,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,18.934297561645508 +1991,20,0,all,18-20 yrs,111,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,103.0267562866211 +1991,20,0,MVA,18-20 yrs,43,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,39.9112663269043 +1991,20,0,suicide,18-20 yrs,20,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,18.563379287719727 +1991,20,0,homicide,18-20 yrs,13,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,12.066197395324707 +1991,20,0,other external,18-20 yrs,12,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,11.138028144836426 +1991,20,0,internal,18-20 yrs,23,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,21.34788703918457 +1991,20,0,all,21-24 yrs,146,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,101.57935333251953 +1991,20,0,MVA,21-24 yrs,42,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,29.22145652770996 +1991,20,0,suicide,21-24 yrs,25,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,17.39372444152832 +1991,20,0,homicide,21-24 yrs,20,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,13.914979934692383 +1991,20,0,other external,21-24 yrs,20,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,13.914979934692383 +1991,20,0,internal,21-24 yrs,39,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,27.13421058654785 +1992,20,0,MVA,15-17 yrs,47,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,44.92105484008789 +1992,20,0,suicide,15-17 yrs,14,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,13.380739212036133 +1992,20,0,homicide,15-17 yrs,6,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,5.734602451324463 +1992,20,0,other external,15-17 yrs,12,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,11.469204902648926 +1992,20,0,internal,15-17 yrs,16,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,15.29227352142334 +1992,20,0,all,18-20 yrs,102,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,98.1722640991211 +1992,20,0,MVA,18-20 yrs,41,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,39.46139907836914 +1992,20,0,suicide,18-20 yrs,18,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,17.32451629638672 +1992,20,0,homicide,18-20 yrs,15,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,14.437097549438477 +1992,20,0,other external,18-20 yrs,11,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,10.587204933166504 +1992,20,0,internal,18-20 yrs,17,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,16.362043380737305 +1992,20,0,all,21-24 yrs,129,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,87.58351135253906 +1992,20,0,MVA,21-24 yrs,33,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,22.40508460998535 +1992,20,0,suicide,21-24 yrs,30,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,20.368257522583008 +1992,20,0,homicide,21-24 yrs,23,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,15.6156644821167 +1992,20,0,other external,21-24 yrs,13,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,8.826245307922363 +1992,20,0,internal,21-24 yrs,30,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,20.368257522583008 +1993,20,0,MVA,15-17 yrs,30,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,27.879745483398438 +1993,20,0,suicide,15-17 yrs,18,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,16.727848052978516 +1993,20,0,homicide,15-17 yrs,15,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,13.939872741699219 +1993,20,0,other external,15-17 yrs,9,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,8.363924026489258 +1993,20,0,internal,15-17 yrs,16,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,14.869197845458984 +1993,20,0,all,18-20 yrs,100,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,95.49821472167969 +1993,20,0,MVA,18-20 yrs,31,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,29.604446411132812 +1993,20,0,suicide,18-20 yrs,14,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,13.369750022888184 +1993,20,0,homicide,18-20 yrs,27,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,25.784517288208008 +1993,20,0,other external,18-20 yrs,10,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,9.549821853637695 +1993,20,0,internal,18-20 yrs,18,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,17.189678192138672 +1993,20,0,all,21-24 yrs,127,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,86.47103118896484 +1993,20,0,MVA,21-24 yrs,39,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,26.554096221923828 +1993,20,0,suicide,21-24 yrs,30,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,20.426227569580078 +1993,20,0,homicide,21-24 yrs,23,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,15.660107612609863 +1993,20,0,other external,21-24 yrs,16,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,10.893987655639648 +1993,20,0,internal,21-24 yrs,19,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,12.936610221862793 +1994,20,0,MVA,15-17 yrs,34,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,30.36934471130371 +1994,20,0,suicide,15-17 yrs,11,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,9.825376510620117 +1994,20,0,homicide,15-17 yrs,14,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,12.505023956298828 +1994,20,0,other external,15-17 yrs,7,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,6.252511978149414 +1994,20,0,internal,15-17 yrs,19,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,16.97110366821289 +1994,20,0,all,18-20 yrs,123,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,114.32289123535156 +1994,20,0,MVA,18-20 yrs,58,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,53.908355712890625 +1994,20,0,suicide,18-20 yrs,18,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,16.730178833007812 +1994,20,0,homicide,18-20 yrs,16,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,14.871270179748535 +1994,20,0,other external,18-20 yrs,10,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,9.294544219970703 +1994,20,0,internal,18-20 yrs,21,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,19.518543243408203 +1994,20,0,all,21-24 yrs,143,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,99.49348449707031 +1994,20,0,MVA,21-24 yrs,43,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,29.917621612548828 +1994,20,0,suicide,21-24 yrs,20,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,13.915173530578613 +1994,20,0,homicide,21-24 yrs,29,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,20.177001953125 +1994,20,0,other external,21-24 yrs,17,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,11.827897071838379 +1994,20,0,internal,21-24 yrs,34,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,23.655794143676758 +1995,20,0,MVA,15-17 yrs,21,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,18.042011260986328 +1995,20,0,suicide,15-17 yrs,11,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,9.450577735900879 +1995,20,0,homicide,15-17 yrs,10,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,8.591434478759766 +1995,20,0,other external,15-17 yrs,8,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,6.873147487640381 +1995,20,0,internal,15-17 yrs,12,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,10.309720993041992 +1995,20,0,all,18-20 yrs,114,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,101.7739028930664 +1995,20,0,MVA,18-20 yrs,35,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,31.246374130249023 +1995,20,0,suicide,18-20 yrs,27,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,24.104345321655273 +1995,20,0,homicide,18-20 yrs,21,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,18.74782371520996 +1995,20,0,other external,18-20 yrs,9,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,8.034781455993652 +1995,20,0,internal,18-20 yrs,22,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,19.64057731628418 +1995,20,0,all,21-24 yrs,144,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,103.52413177490234 +1995,20,0,MVA,21-24 yrs,48,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,34.5080451965332 +1995,20,0,suicide,21-24 yrs,25,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,17.97294044494629 +1995,20,0,homicide,21-24 yrs,25,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,17.97294044494629 +1995,20,0,other external,21-24 yrs,13,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,9.345929145812988 +1995,20,0,internal,21-24 yrs,33,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,23.724281311035156 +1996,20,0,MVA,15-17 yrs,44,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,36.448280334472656 +1996,20,0,suicide,15-17 yrs,12,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,9.94044017791748 +1996,20,0,homicide,15-17 yrs,13,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,10.768810272216797 +1996,20,0,other external,15-17 yrs,10,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,8.283699989318848 +1996,20,0,internal,15-17 yrs,7,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,5.798590183258057 +1996,20,0,all,18-20 yrs,121,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,105.62796020507812 +1996,20,0,MVA,18-20 yrs,47,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,41.02904510498047 +1996,20,0,suicide,18-20 yrs,26,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,22.696918487548828 +1996,20,0,homicide,18-20 yrs,16,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,13.967333793640137 +1996,20,0,other external,18-20 yrs,10,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,8.729583740234375 +1996,20,0,internal,18-20 yrs,22,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,19.2050838470459 +1996,20,0,all,21-24 yrs,137,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,101.33810424804688 +1996,20,0,MVA,21-24 yrs,55,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,40.68318176269531 +1996,20,0,suicide,21-24 yrs,17,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,12.574801445007324 +1996,20,0,homicide,21-24 yrs,19,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,14.054189682006836 +1996,20,0,other external,21-24 yrs,16,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,11.835107803344727 +1996,20,0,internal,21-24 yrs,30,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,22.190826416015625 +1970,21,0,MVA,15-17 yrs,104,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,53.993717193603516 +1970,21,0,suicide,15-17 yrs,0,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,0 +1970,21,0,homicide,15-17 yrs,10,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,5.191703796386719 +1970,21,0,other external,15-17 yrs,40,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,20.766815185546875 +1970,21,0,internal,15-17 yrs,43,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,22.324325561523438 +1970,21,0,all,18-20 yrs,273,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,146.59213256835938 +1970,21,0,MVA,18-20 yrs,131,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,70.342742919921875 +1970,21,0,suicide,18-20 yrs,9,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,4.83270788192749 +1970,21,0,homicide,18-20 yrs,17,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,9.128447532653809 +1970,21,0,other external,18-20 yrs,44,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,23.626571655273438 +1970,21,0,internal,18-20 yrs,72,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,38.66166305541992 +1970,21,0,all,21-24 yrs,335,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,162.6892852783203 +1970,21,0,MVA,21-24 yrs,131,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,63.61879348754883 +1970,21,0,suicide,21-24 yrs,18,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,8.7415132522583 +1970,21,0,homicide,21-24 yrs,32,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,15.540468215942383 +1970,21,0,other external,21-24 yrs,66,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,32.052215576171875 +1970,21,0,internal,21-24 yrs,88,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,42.73628616333008 +1971,21,0,MVA,15-17 yrs,76,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,38.28696060180664 +1971,21,0,suicide,15-17 yrs,11,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,5.541533946990967 +1971,21,0,homicide,15-17 yrs,17,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,8.564188957214355 +1971,21,0,other external,15-17 yrs,58,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,29.218996047973633 +1971,21,0,internal,15-17 yrs,44,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,22.166135787963867 +1971,21,0,all,18-20 yrs,251,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,130.67471313476562 +1971,21,0,MVA,18-20 yrs,109,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,56.747188568115234 +1971,21,0,suicide,18-20 yrs,17,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,8.8504791259765625 +1971,21,0,homicide,18-20 yrs,25,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,13.015410423278809 +1971,21,0,other external,18-20 yrs,40,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,20.824655532836914 +1971,21,0,internal,18-20 yrs,60,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,31.236984252929688 +1971,21,0,all,21-24 yrs,346,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,149.6617431640625 +1971,21,0,MVA,21-24 yrs,127,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,54.93364715576172 +1971,21,0,suicide,21-24 yrs,27,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,11.678807258605957 +1971,21,0,homicide,21-24 yrs,38,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,16.436840057373047 +1971,21,0,other external,21-24 yrs,58,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,25.087806701660156 +1971,21,0,internal,21-24 yrs,96,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,41.5246467590332 +1972,21,0,MVA,15-17 yrs,92,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,45.21884536743164 +1972,21,0,suicide,15-17 yrs,8,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,3.9320733547210693 +1972,21,0,homicide,15-17 yrs,10,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,4.9150919914245605 +1972,21,0,other external,15-17 yrs,34,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,16.71131134033203 +1972,21,0,internal,15-17 yrs,62,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,30.473569869995117 +1972,21,0,all,18-20 yrs,264,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,138.69261169433594 +1972,21,0,MVA,18-20 yrs,136,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,71.44770812988281 +1972,21,0,suicide,18-20 yrs,16,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,8.40561294555664 +1972,21,0,homicide,18-20 yrs,24,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,12.608419418334961 +1972,21,0,other external,18-20 yrs,28,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,14.709822654724121 +1972,21,0,internal,18-20 yrs,60,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,31.521047592163086 +1972,21,0,all,21-24 yrs,292,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,125.03693389892578 +1972,21,0,MVA,21-24 yrs,134,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,57.37996292114258 +1972,21,0,suicide,21-24 yrs,18,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,7.707756042480469 +1972,21,0,homicide,21-24 yrs,30,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,12.846260070800781 +1972,21,0,other external,21-24 yrs,48,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,20.55401611328125 +1972,21,0,internal,21-24 yrs,62,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,26.548938751220703 +1973,21,0,MVA,15-17 yrs,103,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,49.94617462158203 +1973,21,0,suicide,15-17 yrs,4,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,1.939657211303711 +1973,21,0,homicide,15-17 yrs,13,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,6.3038859367370605 +1973,21,0,other external,15-17 yrs,57,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,27.64011573791504 +1973,21,0,internal,15-17 yrs,43,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,20.851316452026367 +1973,21,0,all,18-20 yrs,277,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,142.527099609375 +1973,21,0,MVA,18-20 yrs,133,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,68.43359375 +1973,21,0,suicide,18-20 yrs,17,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,8.747150421142578 +1973,21,0,homicide,18-20 yrs,24,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,12.348918914794922 +1973,21,0,other external,18-20 yrs,47,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,24.183300018310547 +1973,21,0,internal,18-20 yrs,56,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,28.814144134521484 +1973,21,0,all,21-24 yrs,353,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,147.16795349121094 +1973,21,0,MVA,21-24 yrs,143,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,59.61761474609375 +1973,21,0,suicide,21-24 yrs,37,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,15.425536155700684 +1973,21,0,homicide,21-24 yrs,33,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,13.75791072845459 +1973,21,0,other external,21-24 yrs,75,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,31.26797866821289 +1973,21,0,internal,21-24 yrs,65,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,27.098915100097656 +1974,21,0,MVA,15-17 yrs,73,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,34.87799835205078 +1974,21,0,suicide,15-17 yrs,11,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,5.255589008331299 +1974,21,0,homicide,15-17 yrs,13,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,6.211150646209717 +1974,21,0,other external,15-17 yrs,53,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,25.3223819732666 +1974,21,0,internal,15-17 yrs,48,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,22.93347930908203 +1974,21,0,all,18-20 yrs,248,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,123.54720306396484 +1974,21,0,MVA,18-20 yrs,101,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,50.31559371948242 +1974,21,0,suicide,18-20 yrs,15,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,7.4726128578186035 +1974,21,0,homicide,18-20 yrs,25,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,12.454355239868164 +1974,21,0,other external,18-20 yrs,54,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,26.90140724182129 +1974,21,0,internal,18-20 yrs,53,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,26.40323257446289 +1974,21,0,all,21-24 yrs,277,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,112.68132781982422 +1974,21,0,MVA,21-24 yrs,100,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,40.67918014526367 +1974,21,0,suicide,21-24 yrs,17,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,6.915460586547852 +1974,21,0,homicide,21-24 yrs,26,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,10.576586723327637 +1974,21,0,other external,21-24 yrs,57,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,23.187131881713867 +1974,21,0,internal,21-24 yrs,77,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,31.322967529296875 +1975,21,0,MVA,15-17 yrs,79,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,37.405303955078125 +1975,21,0,suicide,15-17 yrs,11,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,5.208333492279053 +1975,21,0,homicide,15-17 yrs,11,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,5.208333492279053 +1975,21,0,other external,15-17 yrs,46,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,21.780303955078125 +1975,21,0,internal,15-17 yrs,59,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,27.935606002807617 +1975,21,0,all,18-20 yrs,271,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,131.2482147216797 +1975,21,0,MVA,18-20 yrs,112,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,54.24280548095703 +1975,21,0,suicide,18-20 yrs,26,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,12.592079162597656 +1975,21,0,homicide,18-20 yrs,21,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,10.170525550842285 +1975,21,0,other external,18-20 yrs,67,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,32.448822021484375 +1975,21,0,internal,18-20 yrs,45,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,21.793983459472656 +1975,21,0,all,21-24 yrs,350,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,139.53062438964844 +1975,21,0,MVA,21-24 yrs,101,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,40.264549255371094 +1975,21,0,suicide,21-24 yrs,37,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,14.75037956237793 +1975,21,0,homicide,21-24 yrs,44,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,17.540992736816406 +1975,21,0,other external,21-24 yrs,72,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,28.703441619873047 +1975,21,0,internal,21-24 yrs,96,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,38.27125549316406 +1976,21,0,MVA,15-17 yrs,91,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,42.678924560546875 +1976,21,0,suicide,15-17 yrs,14,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,6.565988063812256 +1976,21,0,homicide,15-17 yrs,18,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,8.441985130310059 +1976,21,0,other external,15-17 yrs,46,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,21.57396125793457 +1976,21,0,internal,15-17 yrs,42,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,19.69796371459961 +1976,21,0,all,18-20 yrs,275,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,129.11404418945312 +1976,21,0,MVA,18-20 yrs,123,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,57.74919128417969 +1976,21,0,suicide,18-20 yrs,17,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,7.981595516204834 +1976,21,0,homicide,18-20 yrs,24,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,11.268135070800781 +1976,21,0,other external,18-20 yrs,50,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,23.47528076171875 +1976,21,0,internal,18-20 yrs,61,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,28.639842987060547 +1976,21,0,all,21-24 yrs,335,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,130.9560546875 +1976,21,0,MVA,21-24 yrs,113,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,44.17323684692383 +1976,21,0,suicide,21-24 yrs,34,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,13.291062355041504 +1976,21,0,homicide,21-24 yrs,28,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,10.94558048248291 +1976,21,0,other external,21-24 yrs,84,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,32.83674240112305 +1976,21,0,internal,21-24 yrs,76,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,29.709434509277344 +1977,21,0,MVA,15-17 yrs,101,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,47.30568313598633 +1977,21,0,suicide,15-17 yrs,5,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,2.3418655395507812 +1977,21,0,homicide,15-17 yrs,13,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,6.088850498199463 +1977,21,0,other external,15-17 yrs,45,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,21.07678985595703 +1977,21,0,internal,15-17 yrs,42,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,19.67167091369629 +1977,21,0,all,18-20 yrs,288,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,133.32345581054688 +1977,21,0,MVA,18-20 yrs,123,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,56.94022750854492 +1977,21,0,suicide,18-20 yrs,26,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,12.036145210266113 +1977,21,0,homicide,18-20 yrs,26,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,12.036145210266113 +1977,21,0,other external,18-20 yrs,63,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,29.164506912231445 +1977,21,0,internal,18-20 yrs,50,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,23.146432876586914 +1977,21,0,all,21-24 yrs,371,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,142.3413848876953 +1977,21,0,MVA,21-24 yrs,131,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,50.260704040527344 +1977,21,0,suicide,21-24 yrs,40,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,15.346779823303223 +1977,21,0,homicide,21-24 yrs,38,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,14.57944107055664 +1977,21,0,other external,21-24 yrs,89,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,34.146583557128906 +1977,21,0,internal,21-24 yrs,73,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,28.00787353515625 +1978,21,0,MVA,15-17 yrs,97,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,45.565147399902344 +1978,21,0,suicide,15-17 yrs,16,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,7.515900611877441 +1978,21,0,homicide,15-17 yrs,6,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,2.81846284866333 +1978,21,0,other external,15-17 yrs,39,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,18.32000732421875 +1978,21,0,internal,15-17 yrs,53,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,24.896421432495117 +1978,21,0,all,18-20 yrs,290,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,133.97085571289062 +1978,21,0,MVA,18-20 yrs,122,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,56.36014938354492 +1978,21,0,suicide,18-20 yrs,23,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,10.625274658203125 +1978,21,0,homicide,18-20 yrs,26,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,12.01117992401123 +1978,21,0,other external,18-20 yrs,54,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,24.94629669189453 +1978,21,0,internal,18-20 yrs,65,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,30.0279483795166 +1978,21,0,all,21-24 yrs,342,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,128.4487762451172 +1978,21,0,MVA,21-24 yrs,112,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,42.065093994140625 +1978,21,0,suicide,21-24 yrs,39,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,14.647666931152344 +1978,21,0,homicide,21-24 yrs,52,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,19.530223846435547 +1978,21,0,other external,21-24 yrs,63,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,23.661617279052734 +1978,21,0,internal,21-24 yrs,76,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,28.544172286987305 +1979,21,0,MVA,15-17 yrs,87,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,41.171932220458984 +1979,21,0,suicide,15-17 yrs,21,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,9.938053131103516 +1979,21,0,homicide,15-17 yrs,7,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,3.3126842975616455 +1979,21,0,other external,15-17 yrs,33,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,15.61694049835205 +1979,21,0,internal,15-17 yrs,29,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,13.723978042602539 +1979,21,0,all,18-20 yrs,277,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,127.58039093017578 +1979,21,0,MVA,18-20 yrs,125,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,57.57238006591797 +1979,21,0,suicide,18-20 yrs,26,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,11.975054740905762 +1979,21,0,homicide,18-20 yrs,27,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,12.435633659362793 +1979,21,0,other external,18-20 yrs,51,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,23.489530563354492 +1979,21,0,internal,18-20 yrs,48,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,22.1077938079834 +1979,21,0,all,21-24 yrs,314,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,115.80648040771484 +1979,21,0,MVA,21-24 yrs,126,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,46.470115661621094 +1979,21,0,suicide,21-24 yrs,32,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,11.801934242248535 +1979,21,0,homicide,21-24 yrs,34,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,12.539554595947266 +1979,21,0,other external,21-24 yrs,59,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,21.759815216064453 +1979,21,0,internal,21-24 yrs,63,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,23.235057830810547 +1980,21,0,MVA,15-17 yrs,65,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,31.384742736816406 +1980,21,0,suicide,15-17 yrs,10,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,4.8284220695495605 +1980,21,0,homicide,15-17 yrs,14,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,6.759790897369385 +1980,21,0,other external,15-17 yrs,50,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,24.14211082458496 +1980,21,0,internal,15-17 yrs,38,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,18.348003387451172 +1980,21,0,all,18-20 yrs,293,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,134.32171630859375 +1980,21,0,MVA,18-20 yrs,115,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,52.720130920410156 +1980,21,0,suicide,18-20 yrs,32,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,14.669949531555176 +1980,21,0,homicide,18-20 yrs,30,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,13.753077507019043 +1980,21,0,other external,18-20 yrs,66,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,30.25676918029785 +1980,21,0,internal,18-20 yrs,50,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,22.921794891357422 +1980,21,0,all,21-24 yrs,359,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,131.00851440429688 +1980,21,0,MVA,21-24 yrs,125,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,45.61577606201172 +1980,21,0,suicide,21-24 yrs,36,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,13.137343406677246 +1980,21,0,homicide,21-24 yrs,45,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,16.421680450439453 +1980,21,0,other external,21-24 yrs,85,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,31.018728256225586 +1980,21,0,internal,21-24 yrs,68,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,24.81498146057129 +1981,21,0,MVA,15-17 yrs,88,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,44.52202224731445 +1981,21,0,suicide,15-17 yrs,14,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.0830488204956055 +1981,21,0,homicide,15-17 yrs,4,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,2.023728132247925 +1981,21,0,other external,15-17 yrs,44,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,22.261011123657227 +1981,21,0,internal,15-17 yrs,14,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.0830488204956055 +1981,21,0,all,18-20 yrs,258,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,119.32622528076172 +1981,21,0,MVA,18-20 yrs,130,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,60.12561798095703 +1981,21,0,suicide,18-20 yrs,16,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.400075912475586 +1981,21,0,homicide,18-20 yrs,14,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,6.475066184997559 +1981,21,0,other external,18-20 yrs,42,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,19.425199508666992 +1981,21,0,internal,18-20 yrs,56,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,25.900264739990234 +1981,21,0,all,21-24 yrs,316,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,115.00402069091797 +1981,21,0,MVA,21-24 yrs,102,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,37.121551513671875 +1981,21,0,suicide,21-24 yrs,40,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,14.55747127532959 +1981,21,0,homicide,21-24 yrs,42,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,15.285345077514648 +1981,21,0,other external,21-24 yrs,60,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,21.836206436157227 +1981,21,0,internal,21-24 yrs,72,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,26.203447341918945 +1982,21,0,MVA,15-17 yrs,60,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,31.854066848754883 +1982,21,0,suicide,15-17 yrs,14,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,7.432615280151367 +1982,21,0,homicide,15-17 yrs,12,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,6.370813369750977 +1982,21,0,other external,15-17 yrs,28,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,14.865230560302734 +1982,21,0,internal,15-17 yrs,26,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,13.803428649902344 +1982,21,0,all,18-20 yrs,220,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,103.51918029785156 +1982,21,0,MVA,18-20 yrs,96,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,45.17200469970703 +1982,21,0,suicide,18-20 yrs,24,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,11.293001174926758 +1982,21,0,homicide,18-20 yrs,22,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,10.35191822052002 +1982,21,0,other external,18-20 yrs,44,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,20.70383644104004 +1982,21,0,internal,18-20 yrs,34,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,15.998418807983398 +1982,21,0,all,21-24 yrs,352,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,127.61437225341797 +1982,21,0,MVA,21-24 yrs,136,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,49.3055534362793 +1982,21,0,suicide,21-24 yrs,44,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,15.951796531677246 +1982,21,0,homicide,21-24 yrs,38,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,13.776551246643066 +1982,21,0,other external,21-24 yrs,80,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,29.003267288208008 +1982,21,0,internal,21-24 yrs,54,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,19.577205657958984 +1983,21,0,MVA,15-17 yrs,75,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,41.67801284790039 +1983,21,0,suicide,15-17 yrs,14,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,7.779895782470703 +1983,21,0,homicide,15-17 yrs,5,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,2.778534173965454 +1983,21,0,other external,15-17 yrs,35,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,19.449739456176758 +1983,21,0,internal,15-17 yrs,36,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,20.00544548034668 +1983,21,0,all,18-20 yrs,239,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,115.09142303466797 +1983,21,0,MVA,18-20 yrs,95,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,45.74763488769531 +1983,21,0,suicide,18-20 yrs,31,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,14.928175926208496 +1983,21,0,homicide,18-20 yrs,20,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,9.631081581115723 +1983,21,0,other external,18-20 yrs,47,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.633041381835938 +1983,21,0,internal,18-20 yrs,46,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.151487350463867 +1983,21,0,all,21-24 yrs,287,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,104.11980438232422 +1983,21,0,MVA,21-24 yrs,99,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,35.915889739990234 +1983,21,0,suicide,21-24 yrs,32,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,11.609176635742188 +1983,21,0,homicide,21-24 yrs,34,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,12.334750175476074 +1983,21,0,other external,21-24 yrs,62,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.492780685424805 +1983,21,0,internal,21-24 yrs,60,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,21.7672061920166 +1984,21,0,MVA,15-17 yrs,58,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,32.695213317871094 +1984,21,0,suicide,15-17 yrs,14,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,7.8919477462768555 +1984,21,0,homicide,15-17 yrs,4,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,2.2548422813415527 +1984,21,0,other external,15-17 yrs,16,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,9.019369125366211 +1984,21,0,internal,15-17 yrs,28,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,15.783895492553711 +1984,21,0,all,18-20 yrs,217,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,109.661865234375 +1984,21,0,MVA,18-20 yrs,89,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,44.97652816772461 +1984,21,0,suicide,18-20 yrs,28,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,14.149918556213379 +1984,21,0,homicide,18-20 yrs,11,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,5.558896541595459 +1984,21,0,other external,18-20 yrs,51,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,25.7730655670166 +1984,21,0,internal,18-20 yrs,38,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,19.203460693359375 +1984,21,0,all,21-24 yrs,294,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,108.01358032226562 +1984,21,0,MVA,21-24 yrs,108,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,39.67845916748047 +1984,21,0,suicide,21-24 yrs,38,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,13.960938453674316 +1984,21,0,homicide,21-24 yrs,27,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,9.919614791870117 +1984,21,0,other external,21-24 yrs,56,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,20.57401466369629 +1984,21,0,internal,21-24 yrs,65,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,23.880552291870117 +1985,21,0,MVA,15-17 yrs,64,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,36.03826904296875 +1985,21,0,suicide,15-17 yrs,14,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,7.883371353149414 +1985,21,0,homicide,15-17 yrs,8,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,4.504783630371094 +1985,21,0,other external,15-17 yrs,21,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,11.825057029724121 +1985,21,0,internal,15-17 yrs,31,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,17.456035614013672 +1985,21,0,all,18-20 yrs,189,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,100.21633911132812 +1985,21,0,MVA,18-20 yrs,84,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,44.54059600830078 +1985,21,0,suicide,18-20 yrs,27,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,14.316619873046875 +1985,21,0,homicide,18-20 yrs,15,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,7.953677654266357 +1985,21,0,other external,18-20 yrs,34,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,18.028335571289062 +1985,21,0,internal,18-20 yrs,29,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,15.377110481262207 +1985,21,0,all,21-24 yrs,267,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,99.5978775024414 +1985,21,0,MVA,21-24 yrs,95,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,35.43744659423828 +1985,21,0,suicide,21-24 yrs,46,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,17.1591854095459 +1985,21,0,homicide,21-24 yrs,27,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,10.071695327758789 +1985,21,0,other external,21-24 yrs,44,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,16.41313362121582 +1985,21,0,internal,21-24 yrs,55,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,20.516416549682617 +1986,21,0,MVA,15-17 yrs,55,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,30.290847778320312 +1986,21,0,suicide,15-17 yrs,17,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.3626251220703125 +1986,21,0,homicide,15-17 yrs,8,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,4.405941486358643 +1986,21,0,other external,15-17 yrs,24,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,13.21782398223877 +1986,21,0,internal,15-17 yrs,35,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,19.27599334716797 +1986,21,0,all,18-20 yrs,193,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,107.38568878173828 +1986,21,0,MVA,18-20 yrs,90,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,50.07622528076172 +1986,21,0,suicide,18-20 yrs,20,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,11.128050804138184 +1986,21,0,homicide,18-20 yrs,17,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.458843231201172 +1986,21,0,other external,18-20 yrs,34,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,18.917686462402344 +1986,21,0,internal,18-20 yrs,32,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,17.804880142211914 +1986,21,0,all,21-24 yrs,279,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,107.55133819580078 +1986,21,0,MVA,21-24 yrs,109,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,42.01826477050781 +1986,21,0,suicide,21-24 yrs,47,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,18.11796760559082 +1986,21,0,homicide,21-24 yrs,24,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.251728057861328 +1986,21,0,other external,21-24 yrs,42,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,16.190523147583008 +1986,21,0,internal,21-24 yrs,57,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,21.972854614257812 +1987,21,0,MVA,15-17 yrs,75,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,41.454097747802734 +1987,21,0,suicide,15-17 yrs,14,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,7.738098621368408 +1987,21,0,homicide,15-17 yrs,4,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,2.2108852863311768 +1987,21,0,other external,15-17 yrs,18,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,9.948984146118164 +1987,21,0,internal,15-17 yrs,31,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,17.134361267089844 +1987,21,0,all,18-20 yrs,182,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,103.00643157958984 +1987,21,0,MVA,18-20 yrs,83,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,46.975460052490234 +1987,21,0,suicide,18-20 yrs,19,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,10.753418922424316 +1987,21,0,homicide,18-20 yrs,21,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,11.885356903076172 +1987,21,0,other external,18-20 yrs,23,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,13.017295837402344 +1987,21,0,internal,18-20 yrs,36,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,20.37489891052246 +1987,21,0,all,21-24 yrs,300,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,121.03704833984375 +1987,21,0,MVA,21-24 yrs,114,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,45.994075775146484 +1987,21,0,suicide,21-24 yrs,44,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,17.752099990844727 +1987,21,0,homicide,21-24 yrs,25,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,10.086420059204102 +1987,21,0,other external,21-24 yrs,54,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,21.78666877746582 +1987,21,0,internal,21-24 yrs,63,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,25.41777992248535 +1988,21,0,MVA,15-17 yrs,75,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,42.720680236816406 +1988,21,0,suicide,15-17 yrs,16,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,9.11374568939209 +1988,21,0,homicide,15-17 yrs,3,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,1.708827257156372 +1988,21,0,other external,15-17 yrs,20,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,11.392181396484375 +1988,21,0,internal,15-17 yrs,20,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,11.392181396484375 +1988,21,0,all,18-20 yrs,176,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,99.31327056884766 +1988,21,0,MVA,18-20 yrs,89,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,50.220916748046875 +1988,21,0,suicide,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,homicide,18-20 yrs,15,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,8.46419906616211 +1988,21,0,other external,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,internal,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,all,21-24 yrs,256,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,108.2965316772461 +1988,21,0,MVA,21-24 yrs,107,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,45.264564514160156 +1988,21,0,suicide,21-24 yrs,34,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,14.383132934570312 +1988,21,0,homicide,21-24 yrs,16,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,6.768533229827881 +1988,21,0,other external,21-24 yrs,37,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,15.652233123779297 +1988,21,0,internal,21-24 yrs,62,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,26.228065490722656 +1989,21,0,MVA,15-17 yrs,64,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,38.499481201171875 +1989,21,0,suicide,15-17 yrs,8,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,4.812435150146484 +1989,21,0,homicide,15-17 yrs,4,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,2.406217575073242 +1989,21,0,other external,15-17 yrs,26,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,15.64041519165039 +1989,21,0,internal,15-17 yrs,28,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.843523025512695 +1989,21,0,all,18-20 yrs,179,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,98.71178436279297 +1989,21,0,MVA,18-20 yrs,80,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,44.11699676513672 +1989,21,0,suicide,18-20 yrs,24,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,13.235099792480469 +1989,21,0,homicide,18-20 yrs,7,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,3.8602373600006104 +1989,21,0,other external,18-20 yrs,30,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.543874740600586 +1989,21,0,internal,18-20 yrs,38,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,20.95557403564453 +1989,21,0,all,21-24 yrs,238,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,105.8808364868164 +1989,21,0,MVA,21-24 yrs,85,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,37.81458282470703 +1989,21,0,suicide,21-24 yrs,29,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,12.901446342468262 +1989,21,0,homicide,21-24 yrs,23,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,10.232181549072266 +1989,21,0,other external,21-24 yrs,36,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.015588760375977 +1989,21,0,internal,21-24 yrs,65,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,28.917034149169922 +1990,21,0,MVA,15-17 yrs,72,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,44.61436462402344 +1990,21,0,suicide,15-17 yrs,19,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,11.773235321044922 +1990,21,0,homicide,15-17 yrs,2,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,1.2392878532409668 +1990,21,0,other external,15-17 yrs,20,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,12.392879486083984 +1990,21,0,internal,15-17 yrs,22,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,13.632166862487793 +1990,21,0,all,18-20 yrs,189,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,102.28434753417969 +1990,21,0,MVA,18-20 yrs,98,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,53.03633117675781 +1990,21,0,suicide,18-20 yrs,19,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,10.282553672790527 +1990,21,0,homicide,18-20 yrs,12,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,6.494244575500488 +1990,21,0,other external,18-20 yrs,24,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,12.988489151000977 +1990,21,0,internal,18-20 yrs,36,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,19.48273277282715 +1990,21,0,all,21-24 yrs,262,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,119.3165283203125 +1990,21,0,MVA,21-24 yrs,83,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,37.79874801635742 +1990,21,0,suicide,21-24 yrs,44,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,20.03788948059082 +1990,21,0,homicide,21-24 yrs,29,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,13.206790924072266 +1990,21,0,other external,21-24 yrs,46,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,20.94870376586914 +1990,21,0,internal,21-24 yrs,60,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,27.32439613342285 +1991,21,0,MVA,15-17 yrs,70,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,43.31790542602539 +1991,21,0,suicide,15-17 yrs,22,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,13.614198684692383 +1991,21,0,homicide,15-17 yrs,2,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,1.237654447555542 +1991,21,0,other external,15-17 yrs,15,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,9.282407760620117 +1991,21,0,internal,15-17 yrs,27,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,16.70833396911621 +1991,21,0,all,18-20 yrs,191,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,106.15357208251953 +1991,21,0,MVA,18-20 yrs,87,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,48.3526725769043 +1991,21,0,suicide,18-20 yrs,29,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,16.117557525634766 +1991,21,0,homicide,18-20 yrs,11,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,6.113556385040283 +1991,21,0,other external,18-20 yrs,31,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,17.229114532470703 +1991,21,0,internal,18-20 yrs,33,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,18.340669631958008 +1991,21,0,all,21-24 yrs,237,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,106.97359466552734 +1991,21,0,MVA,21-24 yrs,97,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,43.782440185546875 +1991,21,0,suicide,21-24 yrs,31,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,13.992326736450195 +1991,21,0,homicide,21-24 yrs,23,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,10.381403923034668 +1991,21,0,other external,21-24 yrs,42,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,18.957345962524414 +1991,21,0,internal,21-24 yrs,44,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,19.860076904296875 +1992,21,0,MVA,15-17 yrs,62,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,37.362003326416016 +1992,21,0,suicide,15-17 yrs,11,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,6.628742218017578 +1992,21,0,homicide,15-17 yrs,10,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,6.026129245758057 +1992,21,0,other external,15-17 yrs,20,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,12.052258491516113 +1992,21,0,internal,15-17 yrs,36,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,21.69406509399414 +1992,21,0,all,18-20 yrs,181,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,104.31134033203125 +1992,21,0,MVA,18-20 yrs,83,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,47.833377838134766 +1992,21,0,suicide,18-20 yrs,28,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,16.13656234741211 +1992,21,0,homicide,18-20 yrs,8,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,4.610445976257324 +1992,21,0,other external,18-20 yrs,27,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,15.560256004333496 +1992,21,0,internal,18-20 yrs,35,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,20.17070198059082 +1992,21,0,all,21-24 yrs,251,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,109.90165710449219 +1992,21,0,MVA,21-24 yrs,95,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,41.59624481201172 +1992,21,0,suicide,21-24 yrs,44,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,19.265628814697266 +1992,21,0,homicide,21-24 yrs,22,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,9.632814407348633 +1992,21,0,other external,21-24 yrs,36,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,15.762787818908691 +1992,21,0,internal,21-24 yrs,54,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,23.644182205200195 +1993,21,0,MVA,15-17 yrs,67,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,39.65318298339844 +1993,21,0,suicide,15-17 yrs,8,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,4.734708309173584 +1993,21,0,homicide,15-17 yrs,7,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,4.14286994934082 +1993,21,0,other external,15-17 yrs,27,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,15.97964096069336 +1993,21,0,internal,15-17 yrs,29,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,17.163318634033203 +1993,21,0,all,18-20 yrs,173,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,101.11282348632812 +1993,21,0,MVA,18-20 yrs,86,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,50.26417922973633 +1993,21,0,suicide,18-20 yrs,17,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,9.935942649841309 +1993,21,0,homicide,18-20 yrs,14,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,8.1825408935546875 +1993,21,0,other external,18-20 yrs,24,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,14.027213096618652 +1993,21,0,internal,18-20 yrs,32,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,18.70294952392578 +1993,21,0,all,21-24 yrs,239,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,102.81736755371094 +1993,21,0,MVA,21-24 yrs,106,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,45.601009368896484 +1993,21,0,suicide,21-24 yrs,38,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,16.347530364990234 +1993,21,0,homicide,21-24 yrs,26,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,11.185153007507324 +1993,21,0,other external,21-24 yrs,31,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,13.336143493652344 +1993,21,0,internal,21-24 yrs,38,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,16.347530364990234 +1994,21,0,MVA,15-17 yrs,54,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,31.149951934814453 +1994,21,0,suicide,15-17 yrs,18,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,10.383316993713379 +1994,21,0,homicide,15-17 yrs,7,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,4.037956714630127 +1994,21,0,other external,15-17 yrs,15,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,8.652764320373535 +1994,21,0,internal,15-17 yrs,28,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,16.151826858520508 +1994,21,0,all,18-20 yrs,167,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,97.49433898925781 +1994,21,0,MVA,18-20 yrs,69,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,40.2820930480957 +1994,21,0,suicide,18-20 yrs,18,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,10.508371353149414 +1994,21,0,homicide,18-20 yrs,22,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,12.843564987182617 +1994,21,0,other external,18-20 yrs,28,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,16.346355438232422 +1994,21,0,internal,18-20 yrs,30,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,17.513952255249023 +1994,21,0,all,21-24 yrs,245,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,106.09321594238281 +1994,21,0,MVA,21-24 yrs,89,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,38.53998565673828 +1994,21,0,suicide,21-24 yrs,34,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,14.723139762878418 +1994,21,0,homicide,21-24 yrs,27,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,11.69190502166748 +1994,21,0,other external,21-24 yrs,31,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,13.424039840698242 +1994,21,0,internal,21-24 yrs,64,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,27.71414566040039 +1995,21,0,MVA,15-17 yrs,69,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,39.083518981933594 +1995,21,0,suicide,15-17 yrs,17,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,9.629273414611816 +1995,21,0,homicide,15-17 yrs,10,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,5.664278030395508 +1995,21,0,other external,15-17 yrs,19,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,10.762128829956055 +1995,21,0,internal,15-17 yrs,24,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,13.594267845153809 +1995,21,0,all,18-20 yrs,165,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,94.34986877441406 +1995,21,0,MVA,18-20 yrs,84,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,48.03266143798828 +1995,21,0,suicide,18-20 yrs,23,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,13.151800155639648 +1995,21,0,homicide,18-20 yrs,15,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,8.577260971069336 +1995,21,0,other external,18-20 yrs,14,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,8.005443572998047 +1995,21,0,internal,18-20 yrs,29,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,16.582704544067383 +1995,21,0,all,21-24 yrs,219,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,96.74555206298828 +1995,21,0,MVA,21-24 yrs,82,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,36.224361419677734 +1995,21,0,suicide,21-24 yrs,37,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,16.345138549804688 +1995,21,0,homicide,21-24 yrs,26,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,11.485773086547852 +1995,21,0,other external,21-24 yrs,29,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,12.811054229736328 +1995,21,0,internal,21-24 yrs,45,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,19.879222869873047 +1996,21,0,MVA,15-17 yrs,67,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,37.705055236816406 +1996,21,0,suicide,15-17 yrs,15,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,8.44143009185791 +1996,21,0,homicide,15-17 yrs,10,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,5.627620220184326 +1996,21,0,other external,15-17 yrs,17,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,9.566954612731934 +1996,21,0,internal,15-17 yrs,23,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.943527221679688 +1996,21,0,all,18-20 yrs,181,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,102.189453125 +1996,21,0,MVA,18-20 yrs,73,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,41.21453094482422 +1996,21,0,suicide,18-20 yrs,22,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.420817375183105 +1996,21,0,homicide,18-20 yrs,23,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.985400199890137 +1996,21,0,other external,18-20 yrs,28,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,15.808313369750977 +1996,21,0,internal,18-20 yrs,35,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,19.760391235351562 +1996,21,0,all,21-24 yrs,185,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,84.06072235107422 +1996,21,0,MVA,21-24 yrs,81,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,36.80496597290039 +1996,21,0,suicide,21-24 yrs,29,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,13.17708683013916 +1996,21,0,homicide,21-24 yrs,18,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,8.178881645202637 +1996,21,0,other external,21-24 yrs,21,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,9.542028427124023 +1996,21,0,internal,21-24 yrs,36,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,16.357763290405273 +1970,22,1,MVA,15-17 yrs,70,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,30.22100257873535 +1970,22,1,suicide,15-17 yrs,4,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,1.726914405822754 +1970,22,1,homicide,15-17 yrs,16,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,6.907657623291016 +1970,22,1,other external,15-17 yrs,64,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,27.630630493164062 +1970,22,1,internal,15-17 yrs,74,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,31.94791603088379 +1970,22,1,all,18-20 yrs,341,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,159.71372985839844 +1970,22,1,MVA,18-20 yrs,130,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,60.88793182373047 +1970,22,1,suicide,18-20 yrs,12,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,5.620424747467041 +1970,22,1,homicide,18-20 yrs,52,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,24.355173110961914 +1970,22,1,other external,18-20 yrs,75,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,35.127655029296875 +1970,22,1,internal,18-20 yrs,72,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,33.72254943847656 +1970,22,1,all,21-24 yrs,429,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,184.79193115234375 +1970,22,1,MVA,21-24 yrs,144,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,62.02806091308594 +1970,22,1,suicide,21-24 yrs,26,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,11.19951057434082 +1970,22,1,homicide,21-24 yrs,74,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,31.875530242919922 +1970,22,1,other external,21-24 yrs,76,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,32.737030029296875 +1970,22,1,internal,21-24 yrs,109,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,46.9517936706543 +1971,22,1,MVA,15-17 yrs,81,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,33.91533660888672 +1971,22,1,suicide,15-17 yrs,8,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,3.349663019180298 +1971,22,1,homicide,15-17 yrs,21,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,8.792864799499512 +1971,22,1,other external,15-17 yrs,70,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,29.309551239013672 +1971,22,1,internal,15-17 yrs,65,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,27.21601104736328 +1971,22,1,all,18-20 yrs,314,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,142.95079040527344 +1971,22,1,MVA,18-20 yrs,116,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,52.80984878540039 +1971,22,1,suicide,18-20 yrs,14,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,6.373602390289307 +1971,22,1,homicide,18-20 yrs,41,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,18.665550231933594 +1971,22,1,other external,18-20 yrs,66,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,30.046981811523438 +1971,22,1,internal,18-20 yrs,77,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,35.054813385009766 +1971,22,1,all,21-24 yrs,448,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,172.2937774658203 +1971,22,1,MVA,21-24 yrs,132,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,50.76512908935547 +1971,22,1,suicide,21-24 yrs,22,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,8.460855484008789 +1971,22,1,homicide,21-24 yrs,81,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,31.151330947875977 +1971,22,1,other external,21-24 yrs,80,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,30.766746520996094 +1971,22,1,internal,21-24 yrs,133,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,51.149715423583984 +1972,22,1,MVA,15-17 yrs,96,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,39.2259407043457 +1972,22,1,suicide,15-17 yrs,12,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,4.903242588043213 +1972,22,1,homicide,15-17 yrs,16,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,6.537656784057617 +1972,22,1,other external,15-17 yrs,72,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,29.419456481933594 +1972,22,1,internal,15-17 yrs,66,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,26.96783447265625 +1972,22,1,all,18-20 yrs,336,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,151.18722534179688 +1972,22,1,MVA,18-20 yrs,118,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,53.09551239013672 +1972,22,1,suicide,18-20 yrs,16,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,7.199391841888428 +1972,22,1,homicide,18-20 yrs,50,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,22.498098373413086 +1972,22,1,other external,18-20 yrs,64,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,28.79756736755371 +1972,22,1,internal,18-20 yrs,88,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,39.59665298461914 +1972,22,1,all,21-24 yrs,404,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,152.34130859375 +1972,22,1,MVA,21-24 yrs,110,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,41.479068756103516 +1972,22,1,suicide,21-24 yrs,26,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,9.804142951965332 +1972,22,1,homicide,21-24 yrs,86,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,32.4290885925293 +1972,22,1,other external,21-24 yrs,86,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,32.4290885925293 +1972,22,1,internal,21-24 yrs,96,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,36.199913024902344 +1973,22,1,MVA,15-17 yrs,105,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,42.63595962524414 +1973,22,1,suicide,15-17 yrs,11,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,4.4666242599487305 +1973,22,1,homicide,15-17 yrs,13,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,5.278737545013428 +1973,22,1,other external,15-17 yrs,82,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,33.296653747558594 +1973,22,1,internal,15-17 yrs,65,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,26.393688201904297 +1973,22,1,all,18-20 yrs,401,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,177.05601501464844 +1973,22,1,MVA,18-20 yrs,153,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,67.55503845214844 +1973,22,1,suicide,18-20 yrs,20,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,8.830723762512207 +1973,22,1,homicide,18-20 yrs,59,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,26.050636291503906 +1973,22,1,other external,18-20 yrs,87,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,38.41365051269531 +1973,22,1,internal,18-20 yrs,82,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,36.20596694946289 +1973,22,1,all,21-24 yrs,476,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,174.5111083984375 +1973,22,1,MVA,21-24 yrs,125,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,45.82749938964844 +1973,22,1,suicide,21-24 yrs,38,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,13.931559562683105 +1973,22,1,homicide,21-24 yrs,104,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,38.12847900390625 +1973,22,1,other external,21-24 yrs,93,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,34.09565734863281 +1973,22,1,internal,21-24 yrs,116,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,42.52791976928711 +1974,22,1,MVA,15-17 yrs,75,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,30.186918258666992 +1974,22,1,suicide,15-17 yrs,11,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,4.427414417266846 +1974,22,1,homicide,15-17 yrs,28,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,11.269782066345215 +1974,22,1,other external,15-17 yrs,65,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.16199493408203 +1974,22,1,internal,15-17 yrs,65,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.16199493408203 +1974,22,1,all,18-20 yrs,358,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,153.13018798828125 +1974,22,1,MVA,18-20 yrs,100,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,42.77379608154297 +1974,22,1,suicide,18-20 yrs,20,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,8.55475902557373 +1974,22,1,homicide,18-20 yrs,62,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.519752502441406 +1974,22,1,other external,18-20 yrs,97,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,41.49058151245117 +1974,22,1,internal,18-20 yrs,79,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,33.791297912597656 +1974,22,1,all,21-24 yrs,486,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,173.4970703125 +1974,22,1,MVA,21-24 yrs,99,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,35.34199523925781 +1974,22,1,suicide,21-24 yrs,38,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,13.565614700317383 +1974,22,1,homicide,21-24 yrs,100,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,35.6989860534668 +1974,22,1,other external,21-24 yrs,126,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,44.9807243347168 +1974,22,1,internal,21-24 yrs,123,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,43.909751892089844 +1975,22,1,MVA,15-17 yrs,86,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.23280715942383 +1975,22,1,suicide,15-17 yrs,10,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,3.9805588722229004 +1975,22,1,homicide,15-17 yrs,19,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,7.5630621910095215 +1975,22,1,other external,15-17 yrs,70,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,27.86391258239746 +1975,22,1,internal,15-17 yrs,56,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,22.29113006591797 +1975,22,1,all,18-20 yrs,373,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,153.31434631347656 +1975,22,1,MVA,18-20 yrs,112,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,46.03540802001953 +1975,22,1,suicide,18-20 yrs,30,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,12.330912590026855 +1975,22,1,homicide,18-20 yrs,56,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,23.017704010009766 +1975,22,1,other external,18-20 yrs,81,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,33.29346466064453 +1975,22,1,internal,18-20 yrs,94,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,38.63685989379883 +1975,22,1,all,21-24 yrs,462,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,159.08653259277344 +1975,22,1,MVA,21-24 yrs,108,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,37.189056396484375 +1975,22,1,suicide,21-24 yrs,46,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,15.839783668518066 +1975,22,1,homicide,21-24 yrs,100,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.4343147277832 +1975,22,1,other external,21-24 yrs,99,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.089969635009766 +1975,22,1,internal,21-24 yrs,109,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,37.53340148925781 +1976,22,1,MVA,15-17 yrs,99,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,38.884525299072266 +1976,22,1,suicide,15-17 yrs,8,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,3.142183780670166 +1976,22,1,homicide,15-17 yrs,21,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,8.2482328414917 +1976,22,1,other external,15-17 yrs,63,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,24.74469757080078 +1976,22,1,internal,15-17 yrs,68,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,26.70856285095215 +1976,22,1,all,18-20 yrs,367,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,148.9556884765625 +1976,22,1,MVA,18-20 yrs,126,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,51.140098571777344 +1976,22,1,suicide,18-20 yrs,31,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,12.582087516784668 +1976,22,1,homicide,18-20 yrs,49,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,19.8878173828125 +1976,22,1,other external,18-20 yrs,91,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,36.93451690673828 +1976,22,1,internal,18-20 yrs,70,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,28.41116714477539 +1976,22,1,all,21-24 yrs,450,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,151.56005859375 +1976,22,1,MVA,21-24 yrs,116,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,39.06881332397461 +1976,22,1,suicide,21-24 yrs,39,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,13.135205268859863 +1976,22,1,homicide,21-24 yrs,74,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,24.92321014404297 +1976,22,1,other external,21-24 yrs,106,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,35.70081329345703 +1976,22,1,internal,21-24 yrs,115,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,38.73201370239258 +1977,22,1,MVA,15-17 yrs,86,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,33.76601028442383 +1977,22,1,suicide,15-17 yrs,13,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,5.104164123535156 +1977,22,1,homicide,15-17 yrs,26,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,10.208328247070312 +1977,22,1,other external,15-17 yrs,58,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,22.772424697875977 +1977,22,1,internal,15-17 yrs,53,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,20.809284210205078 +1977,22,1,all,18-20 yrs,408,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,161.6187286376953 +1977,22,1,MVA,18-20 yrs,144,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,57.041900634765625 +1977,22,1,suicide,18-20 yrs,29,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,11.487605094909668 +1977,22,1,homicide,18-20 yrs,62,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,24.559707641601562 +1977,22,1,other external,18-20 yrs,95,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,37.63180923461914 +1977,22,1,internal,18-20 yrs,78,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,30.89769744873047 +1977,22,1,all,21-24 yrs,492,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,160.62474060058594 +1977,22,1,MVA,21-24 yrs,129,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,42.11502456665039 +1977,22,1,suicide,21-24 yrs,64,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,20.894275665283203 +1977,22,1,homicide,21-24 yrs,86,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,28.07668113708496 +1977,22,1,other external,21-24 yrs,119,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,38.85029220581055 +1977,22,1,internal,21-24 yrs,94,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,30.688467025756836 +1978,22,1,MVA,15-17 yrs,89,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,35.19650650024414 +1978,22,1,suicide,15-17 yrs,15,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,5.931995391845703 +1978,22,1,homicide,15-17 yrs,23,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,9.09572696685791 +1978,22,1,other external,15-17 yrs,60,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,23.727981567382812 +1978,22,1,internal,15-17 yrs,57,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,22.541584014892578 +1978,22,1,all,18-20 yrs,427,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,166.7884063720703 +1978,22,1,MVA,18-20 yrs,156,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,60.93440628051758 +1978,22,1,suicide,18-20 yrs,33,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,12.889970779418945 +1978,22,1,homicide,18-20 yrs,65,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,25.38933563232422 +1978,22,1,other external,18-20 yrs,96,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,37.49809646606445 +1978,22,1,internal,18-20 yrs,77,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,30.076597213745117 +1978,22,1,all,21-24 yrs,552,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,173.875244140625 +1978,22,1,MVA,21-24 yrs,180,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,56.698448181152344 +1978,22,1,suicide,21-24 yrs,59,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,18.584491729736328 +1978,22,1,homicide,21-24 yrs,99,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,31.184146881103516 +1978,22,1,other external,21-24 yrs,98,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,30.869155883789062 +1978,22,1,internal,21-24 yrs,116,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,36.53900146484375 +1979,22,1,MVA,15-17 yrs,73,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,28.974117279052734 +1979,22,1,suicide,15-17 yrs,15,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,5.953585624694824 +1979,22,1,homicide,15-17 yrs,21,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,8.335020065307617 +1979,22,1,other external,15-17 yrs,60,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,23.814342498779297 +1979,22,1,internal,15-17 yrs,44,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,17.463851928710938 +1979,22,1,all,18-20 yrs,416,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,160.05479431152344 +1979,22,1,MVA,18-20 yrs,167,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,64.25276184082031 +1979,22,1,suicide,18-20 yrs,41,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,15.774630546569824 +1979,22,1,homicide,18-20 yrs,71,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,27.31704330444336 +1979,22,1,other external,18-20 yrs,82,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,31.54926109313965 +1979,22,1,internal,18-20 yrs,55,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,21.161088943481445 +1979,22,1,all,21-24 yrs,551,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,168.92410278320312 +1979,22,1,MVA,21-24 yrs,167,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,51.19841003417969 +1979,22,1,suicide,21-24 yrs,67,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,20.540679931640625 +1979,22,1,homicide,21-24 yrs,115,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,35.25638961791992 +1979,22,1,other external,21-24 yrs,91,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,27.898534774780273 +1979,22,1,internal,21-24 yrs,111,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,34.03008270263672 +1980,22,1,MVA,15-17 yrs,94,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,37.519859313964844 +1980,22,1,suicide,15-17 yrs,20,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,7.982948303222656 +1980,22,1,homicide,15-17 yrs,26,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,10.377833366394043 +1980,22,1,other external,15-17 yrs,66,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,26.34372901916504 +1980,22,1,internal,15-17 yrs,51,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,20.356517791748047 +1980,22,1,all,18-20 yrs,421,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,159.56640625 +1980,22,1,MVA,18-20 yrs,163,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,61.77986526489258 +1980,22,1,suicide,18-20 yrs,48,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,18.19284439086914 +1980,22,1,homicide,18-20 yrs,62,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,23.49909019470215 +1980,22,1,other external,18-20 yrs,91,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,34.4906005859375 +1980,22,1,internal,18-20 yrs,57,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,21.604001998901367 +1980,22,1,all,21-24 yrs,597,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,178.89837646484375 +1980,22,1,MVA,21-24 yrs,210,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,62.9290771484375 +1980,22,1,suicide,21-24 yrs,54,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,16.1817626953125 +1980,22,1,homicide,21-24 yrs,100,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,29.966228485107422 +1980,22,1,other external,21-24 yrs,117,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,35.06048583984375 +1980,22,1,internal,21-24 yrs,116,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,34.760826110839844 +1981,22,1,MVA,15-17 yrs,96,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,39.19151306152344 +1981,22,1,suicide,15-17 yrs,14,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,5.715428829193115 +1981,22,1,homicide,15-17 yrs,16,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,6.531918525695801 +1981,22,1,other external,15-17 yrs,58,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,23.678205490112305 +1981,22,1,internal,15-17 yrs,43,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,17.55453109741211 +1981,22,1,all,18-20 yrs,393,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,149.3558349609375 +1981,22,1,MVA,18-20 yrs,167,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,63.46672821044922 +1981,22,1,suicide,18-20 yrs,31,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,11.781249046325684 +1981,22,1,homicide,18-20 yrs,64,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,24.32257843017578 +1981,22,1,other external,18-20 yrs,78,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,29.643142700195312 +1981,22,1,internal,18-20 yrs,53,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,20.142135620117188 +1981,22,1,all,21-24 yrs,595,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,174.98764038085938 +1981,22,1,MVA,21-24 yrs,181,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,53.231536865234375 +1981,22,1,suicide,21-24 yrs,57,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,16.76352310180664 +1981,22,1,homicide,21-24 yrs,135,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,39.70307922363281 +1981,22,1,other external,21-24 yrs,115,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,33.82114028930664 +1981,22,1,internal,21-24 yrs,107,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,31.468366622924805 +1982,22,1,MVA,15-17 yrs,64,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,26.922203063964844 +1982,22,1,suicide,15-17 yrs,22,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,9.254507064819336 +1982,22,1,homicide,15-17 yrs,30,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,12.619782447814941 +1982,22,1,other external,15-17 yrs,47,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,19.770992279052734 +1982,22,1,internal,15-17 yrs,35,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,14.723079681396484 +1982,22,1,all,18-20 yrs,353,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,134.7976531982422 +1982,22,1,MVA,18-20 yrs,152,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,58.043182373046875 +1982,22,1,suicide,18-20 yrs,28,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,10.69216537475586 +1982,22,1,homicide,18-20 yrs,58,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,22.148056030273438 +1982,22,1,other external,18-20 yrs,67,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,25.584823608398438 +1982,22,1,internal,18-20 yrs,48,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,18.329425811767578 +1982,22,1,all,21-24 yrs,607,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,175.9930419921875 +1982,22,1,MVA,21-24 yrs,180,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,52.18904113769531 +1982,22,1,suicide,21-24 yrs,74,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,21.455493927001953 +1982,22,1,homicide,21-24 yrs,126,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,36.53232955932617 +1982,22,1,other external,21-24 yrs,112,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,32.47317886352539 +1982,22,1,internal,21-24 yrs,115,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,33.34299850463867 +1983,22,1,MVA,15-17 yrs,69,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,30.057764053344727 +1983,22,1,suicide,15-17 yrs,15,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,6.53429651260376 +1983,22,1,homicide,15-17 yrs,15,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,6.53429651260376 +1983,22,1,other external,15-17 yrs,31,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,13.504212379455566 +1983,22,1,internal,15-17 yrs,38,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,16.553550720214844 +1983,22,1,all,18-20 yrs,353,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,136.899169921875 +1983,22,1,MVA,18-20 yrs,126,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,48.86486053466797 +1983,22,1,suicide,18-20 yrs,41,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,15.900470733642578 +1983,22,1,homicide,18-20 yrs,62,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,24.044614791870117 +1983,22,1,other external,18-20 yrs,59,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,22.88116455078125 +1983,22,1,internal,18-20 yrs,65,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,25.20806312561035 +1983,22,1,all,21-24 yrs,522,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,152.1697235107422 +1983,22,1,MVA,21-24 yrs,149,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,43.435420989990234 +1983,22,1,suicide,21-24 yrs,61,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,17.782285690307617 +1983,22,1,homicide,21-24 yrs,111,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,32.357933044433594 +1983,22,1,other external,21-24 yrs,92,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,26.81918716430664 +1983,22,1,internal,21-24 yrs,109,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,31.774906158447266 +1984,22,1,MVA,15-17 yrs,73,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,32.39664077758789 +1984,22,1,suicide,15-17 yrs,17,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,7.5444231033325195 +1984,22,1,homicide,15-17 yrs,21,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,9.319581985473633 +1984,22,1,other external,15-17 yrs,34,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,15.088846206665039 +1984,22,1,internal,15-17 yrs,40,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,17.751585006713867 +1984,22,1,all,18-20 yrs,305,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,122.4039306640625 +1984,22,1,MVA,18-20 yrs,120,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,48.1589241027832 +1984,22,1,suicide,18-20 yrs,27,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,10.835758209228516 +1984,22,1,homicide,18-20 yrs,50,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,20.066219329833984 +1984,22,1,other external,18-20 yrs,53,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,21.270191192626953 +1984,22,1,internal,18-20 yrs,55,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,22.072839736938477 +1984,22,1,all,21-24 yrs,479,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,142.56715393066406 +1984,22,1,MVA,21-24 yrs,154,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,45.83578872680664 +1984,22,1,suicide,21-24 yrs,62,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,18.453369140625 +1984,22,1,homicide,21-24 yrs,67,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,19.941543579101562 +1984,22,1,other external,21-24 yrs,81,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,24.108434677124023 +1984,22,1,internal,21-24 yrs,115,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,34.228023529052734 +1985,22,1,MVA,15-17 yrs,63,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,28.074115753173828 +1985,22,1,suicide,15-17 yrs,16,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,7.129934310913086 +1985,22,1,homicide,15-17 yrs,16,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,7.129934310913086 +1985,22,1,other external,15-17 yrs,30,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,13.368626594543457 +1985,22,1,internal,15-17 yrs,29,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,12.923006057739258 +1985,22,1,all,18-20 yrs,306,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,128.37777709960938 +1985,22,1,MVA,18-20 yrs,130,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,54.539581298828125 +1985,22,1,suicide,18-20 yrs,37,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,15.522804260253906 +1985,22,1,homicide,18-20 yrs,43,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,18.040016174316406 +1985,22,1,other external,18-20 yrs,44,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,18.459550857543945 +1985,22,1,internal,18-20 yrs,52,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,21.815832138061523 +1985,22,1,all,21-24 yrs,448,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,136.5379180908203 +1985,22,1,MVA,21-24 yrs,147,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,44.8015022277832 +1985,22,1,suicide,21-24 yrs,56,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,17.06723976135254 +1985,22,1,homicide,21-24 yrs,64,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,19.505414962768555 +1985,22,1,other external,21-24 yrs,93,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,28.343807220458984 +1985,22,1,internal,21-24 yrs,88,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,26.8199462890625 +1986,22,1,MVA,15-17 yrs,60,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,26.602466583251953 +1986,22,1,suicide,15-17 yrs,19,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,8.424114227294922 +1986,22,1,homicide,15-17 yrs,19,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,8.424114227294922 +1986,22,1,other external,15-17 yrs,35,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,15.518105506896973 +1986,22,1,internal,15-17 yrs,35,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,15.518105506896973 +1986,22,1,all,18-20 yrs,293,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,129.2012481689453 +1986,22,1,MVA,18-20 yrs,112,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,49.387508392333984 +1986,22,1,suicide,18-20 yrs,30,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,13.228796005249023 +1986,22,1,homicide,18-20 yrs,58,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,25.575674057006836 +1986,22,1,other external,18-20 yrs,43,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,18.961275100708008 +1986,22,1,internal,18-20 yrs,50,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,22.04799461364746 +1986,22,1,all,21-24 yrs,461,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,145.72882080078125 +1986,22,1,MVA,21-24 yrs,148,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,46.78495788574219 +1986,22,1,suicide,21-24 yrs,62,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,19.599103927612305 +1986,22,1,homicide,21-24 yrs,90,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,28.4503116607666 +1986,22,1,other external,21-24 yrs,63,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,19.915218353271484 +1986,22,1,internal,21-24 yrs,98,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,30.979228973388672 +1987,22,0.32486844062805176,MVA,15-17 yrs,59,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,26.945560455322266 +1987,22,0.32486844062805176,suicide,15-17 yrs,21,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,9.590792655944824 +1987,22,0.32486844062805176,homicide,15-17 yrs,25,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,11.417610168457031 +1987,22,0.32486844062805176,other external,15-17 yrs,31,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,14.1578369140625 +1987,22,0.32486844062805176,internal,15-17 yrs,43,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,19.638290405273438 +1987,22,0.32486844062805176,all,18-20 yrs,239,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,109.5164794921875 +1987,22,0.32486844062805176,MVA,18-20 yrs,82,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,37.57469177246094 +1987,22,0.32486844062805176,suicide,18-20 yrs,38,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,17.412662506103516 +1987,22,0.32486844062805176,homicide,18-20 yrs,43,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,19.70380210876465 +1987,22,0.32486844062805176,other external,18-20 yrs,36,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,16.496206283569336 +1987,22,0.32486844062805176,internal,18-20 yrs,40,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,18.329116821289062 +1987,22,0.32486844062805176,all,21-24 yrs,389,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,130.48480224609375 +1987,22,0.32486844062805176,MVA,21-24 yrs,128,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,42.935874938964844 +1987,22,0.32486844062805176,suicide,21-24 yrs,43,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,14.4237699508667 +1987,22,0.32486844062805176,homicide,21-24 yrs,69,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,23.14512062072754 +1987,22,0.32486844062805176,other external,21-24 yrs,53,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,17.778135299682617 +1987,22,0.32486844062805176,internal,21-24 yrs,96,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,32.201904296875 +1988,22,0.004337656777352095,MVA,15-17 yrs,58,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,27.730100631713867 +1988,22,0.004337656777352095,suicide,15-17 yrs,15,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,7.171577453613281 +1988,22,0.004337656777352095,homicide,15-17 yrs,29,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,13.865050315856934 +1988,22,0.004337656777352095,other external,15-17 yrs,21,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,10.04020881652832 +1988,22,0.004337656777352095,internal,15-17 yrs,28,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,13.386944770812988 +1988,22,0.004337656777352095,all,18-20 yrs,272,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,127.52351379394531 +1988,22,0.004337656777352095,MVA,18-20 yrs,111,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,52.04084396362305 +1988,22,0.004337656777352095,suicide,18-20 yrs,32,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,15.002766609191895 +1988,22,0.004337656777352095,homicide,18-20 yrs,50,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,23.441822052001953 +1988,22,0.004337656777352095,other external,18-20 yrs,42,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,19.691129684448242 +1988,22,0.004337656777352095,internal,18-20 yrs,37,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,17.346948623657227 +1988,22,0.004337656777352095,all,21-24 yrs,425,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,150.92007446289062 +1988,22,0.004337656777352095,MVA,21-24 yrs,112,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,39.771881103515625 +1988,22,0.004337656777352095,suicide,21-24 yrs,56,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,19.885940551757812 +1988,22,0.004337656777352095,homicide,21-24 yrs,96,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,34.09018325805664 +1988,22,0.004337656777352095,other external,21-24 yrs,64,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,22.726787567138672 +1988,22,0.004337656777352095,internal,21-24 yrs,97,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,34.445289611816406 +1989,22,0,MVA,15-17 yrs,59,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,29.79467010498047 +1989,22,0,suicide,15-17 yrs,22,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,11.10987663269043 +1989,22,0,homicide,15-17 yrs,45,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,22.724748611450195 +1989,22,0,other external,15-17 yrs,29,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,14.644837379455566 +1989,22,0,internal,15-17 yrs,33,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,16.66481590270996 +1989,22,0,all,18-20 yrs,242,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,113.74050903320312 +1989,22,0,MVA,18-20 yrs,71,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,33.37015151977539 +1989,22,0,suicide,18-20 yrs,27,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,12.690056800842285 +1989,22,0,homicide,18-20 yrs,64,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,30.080135345458984 +1989,22,0,other external,18-20 yrs,34,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,15.980072021484375 +1989,22,0,internal,18-20 yrs,46,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,21.620098114013672 +1989,22,0,all,21-24 yrs,412,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,154.85519409179688 +1989,22,0,MVA,21-24 yrs,111,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,41.72069549560547 +1989,22,0,suicide,21-24 yrs,40,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,15.034485816955566 +1989,22,0,homicide,21-24 yrs,97,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,36.45862579345703 +1989,22,0,other external,21-24 yrs,48,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,18.0413818359375 +1989,22,0,internal,21-24 yrs,116,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,43.600006103515625 +1990,22,0,MVA,15-17 yrs,82,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,43.33030319213867 +1990,22,0,suicide,15-17 yrs,24,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,12.682040214538574 +1990,22,0,homicide,15-17 yrs,50,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,26.420917510986328 +1990,22,0,other external,15-17 yrs,31,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.38096809387207 +1990,22,0,internal,15-17 yrs,26,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,13.738876342773438 +1990,22,0,all,18-20 yrs,309,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,145.88270568847656 +1990,22,0,MVA,18-20 yrs,112,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,52.87657928466797 +1990,22,0,suicide,18-20 yrs,35,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.5239315032959 +1990,22,0,homicide,18-20 yrs,87,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,41.07377243041992 +1990,22,0,other external,18-20 yrs,39,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,18.41238021850586 +1990,22,0,internal,18-20 yrs,36,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.996044158935547 +1990,22,0,all,21-24 yrs,472,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,182.9712677001953 +1990,22,0,MVA,21-24 yrs,114,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,44.19221115112305 +1990,22,0,suicide,21-24 yrs,61,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,23.646709442138672 +1990,22,0,homicide,21-24 yrs,130,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,50.394630432128906 +1990,22,0,other external,21-24 yrs,59,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,22.871408462524414 +1990,22,0,internal,21-24 yrs,108,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,41.86630630493164 +1991,22,0,MVA,15-17 yrs,56,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,29.252901077270508 +1991,22,0,suicide,15-17 yrs,21,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,10.96983814239502 +1991,22,0,homicide,15-17 yrs,45,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,23.50679588317871 +1991,22,0,other external,15-17 yrs,34,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,17.760690689086914 +1991,22,0,internal,15-17 yrs,21,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,10.96983814239502 +1991,22,0,all,18-20 yrs,278,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,134.58363342285156 +1991,22,0,MVA,18-20 yrs,85,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,41.14967346191406 +1991,22,0,suicide,18-20 yrs,30,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,14.523414611816406 +1991,22,0,homicide,18-20 yrs,96,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,46.47492599487305 +1991,22,0,other external,18-20 yrs,27,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,13.071072578430176 +1991,22,0,internal,18-20 yrs,40,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,19.364551544189453 +1991,22,0,all,21-24 yrs,439,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,169.60218811035156 +1991,22,0,MVA,21-24 yrs,101,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,39.02009201049805 +1991,22,0,suicide,21-24 yrs,58,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,22.407577514648438 +1991,22,0,homicide,21-24 yrs,141,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,54.473594665527344 +1991,22,0,other external,21-24 yrs,42,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,16.226177215576172 +1991,22,0,internal,21-24 yrs,97,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,37.4747428894043 +1992,22,0,MVA,15-17 yrs,63,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,31.875654220581055 +1992,22,0,suicide,15-17 yrs,25,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,12.649068832397461 +1992,22,0,homicide,15-17 yrs,47,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,23.780250549316406 +1992,22,0,other external,15-17 yrs,27,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,13.660994529724121 +1992,22,0,internal,15-17 yrs,29,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,14.672920227050781 +1992,22,0,all,18-20 yrs,279,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,139.35507202148438 +1992,22,0,MVA,18-20 yrs,79,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,39.458961486816406 +1992,22,0,suicide,18-20 yrs,27,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,13.485974311828613 +1992,22,0,homicide,18-20 yrs,101,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,50.44753646850586 +1992,22,0,other external,18-20 yrs,35,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,17.48181915283203 +1992,22,0,internal,18-20 yrs,37,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,18.48077964782715 +1992,22,0,all,21-24 yrs,408,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,155.52870178222656 +1992,22,0,MVA,21-24 yrs,94,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,35.83259201049805 +1992,22,0,suicide,21-24 yrs,44,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,16.772703170776367 +1992,22,0,homicide,21-24 yrs,133,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,50.69930648803711 +1992,22,0,other external,21-24 yrs,44,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,16.772703170776367 +1992,22,0,internal,21-24 yrs,93,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,35.45139694213867 +1993,22,0,MVA,15-17 yrs,74,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,36.716182708740234 +1993,22,0,suicide,15-17 yrs,22,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,10.91562271118164 +1993,22,0,homicide,15-17 yrs,66,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,32.74686813354492 +1993,22,0,other external,15-17 yrs,27,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,13.396445274353027 +1993,22,0,internal,15-17 yrs,41,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,20.342750549316406 +1993,22,0,all,18-20 yrs,319,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,160.700439453125 +1993,22,0,MVA,18-20 yrs,80,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,40.301048278808594 +1993,22,0,suicide,18-20 yrs,37,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,18.63923454284668 +1993,22,0,homicide,18-20 yrs,127,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,63.9779167175293 +1993,22,0,other external,18-20 yrs,37,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,18.63923454284668 +1993,22,0,internal,18-20 yrs,38,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,19.14299774169922 +1993,22,0,all,21-24 yrs,451,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,171.79708862304688 +1993,22,0,MVA,21-24 yrs,99,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,37.71155548095703 +1993,22,0,suicide,21-24 yrs,59,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,22.474563598632812 +1993,22,0,homicide,21-24 yrs,170,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,64.75721740722656 +1993,22,0,other external,21-24 yrs,39,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,14.856067657470703 +1993,22,0,internal,21-24 yrs,84,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,31.997684478759766 +1994,22,0,MVA,15-17 yrs,60,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,28.903961181640625 +1994,22,0,suicide,15-17 yrs,24,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,11.56158447265625 +1994,22,0,homicide,15-17 yrs,46,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,22.159704208374023 +1994,22,0,other external,15-17 yrs,27,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,13.006782531738281 +1994,22,0,internal,15-17 yrs,32,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,15.415446281433105 +1994,22,0,all,18-20 yrs,318,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,158.60032653808594 +1994,22,0,MVA,18-20 yrs,82,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,40.89693832397461 +1994,22,0,suicide,18-20 yrs,41,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,20.448469161987305 +1994,22,0,homicide,18-20 yrs,126,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,62.84164047241211 +1994,22,0,other external,18-20 yrs,28,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,13.964808464050293 +1994,22,0,internal,18-20 yrs,41,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,20.448469161987305 +1994,22,0,all,21-24 yrs,432,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,166.36180114746094 +1994,22,0,MVA,21-24 yrs,101,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,38.894771575927734 +1994,22,0,suicide,21-24 yrs,46,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,17.71445083618164 +1994,22,0,homicide,21-24 yrs,157,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,60.46018981933594 +1994,22,0,other external,21-24 yrs,41,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,15.78896713256836 +1994,22,0,internal,21-24 yrs,87,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,33.50341796875 +1995,22,0,MVA,15-17 yrs,65,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,30.32494354248047 +1995,22,0,suicide,15-17 yrs,15,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,6.998064041137695 +1995,22,0,homicide,15-17 yrs,47,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,21.92726707458496 +1995,22,0,other external,15-17 yrs,23,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,10.730364799499512 +1995,22,0,internal,15-17 yrs,37,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,17.261890411376953 +1995,22,0,all,18-20 yrs,291,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,140.8382568359375 +1995,22,0,MVA,18-20 yrs,95,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,45.97812271118164 +1995,22,0,suicide,18-20 yrs,25,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,12.099506378173828 +1995,22,0,homicide,18-20 yrs,109,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,52.753849029541016 +1995,22,0,other external,18-20 yrs,23,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,11.131546020507812 +1995,22,0,internal,18-20 yrs,39,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,18.87523078918457 +1995,22,0,all,21-24 yrs,384,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,151.15313720703125 +1995,22,0,MVA,21-24 yrs,91,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,35.82014465332031 +1995,22,0,suicide,21-24 yrs,45,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,17.7132568359375 +1995,22,0,homicide,21-24 yrs,129,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,50.77800750732422 +1995,22,0,other external,21-24 yrs,39,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,15.351490020751953 +1995,22,0,internal,21-24 yrs,80,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,31.490236282348633 +1996,22,0,MVA,15-17 yrs,54,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,24.690454483032227 +1996,22,0,suicide,15-17 yrs,24,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,10.973535537719727 +1996,22,0,homicide,15-17 yrs,45,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,20.57537841796875 +1996,22,0,other external,15-17 yrs,19,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,8.687382698059082 +1996,22,0,internal,15-17 yrs,29,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,13.259688377380371 +1996,22,0,all,18-20 yrs,290,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,137.35743713378906 +1996,22,0,MVA,18-20 yrs,78,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,36.94441223144531 +1996,22,0,suicide,18-20 yrs,36,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,17.051267623901367 +1996,22,0,homicide,18-20 yrs,120,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,56.83755874633789 +1996,22,0,other external,18-20 yrs,26,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,12.314804077148438 +1996,22,0,internal,18-20 yrs,30,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.209389686584473 +1996,22,0,all,21-24 yrs,381,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,153.21078491210938 +1996,22,0,MVA,21-24 yrs,98,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,39.40855026245117 +1996,22,0,suicide,21-24 yrs,36,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.47661018371582 +1996,22,0,homicide,21-24 yrs,128,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,51.47239303588867 +1996,22,0,other external,21-24 yrs,35,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.074481964111328 +1996,22,0,internal,21-24 yrs,84,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,33.77875900268555 +1970,23,0.3228622376918793,MVA,15-17 yrs,26,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,44.89958190917969 +1970,23,0.3228622376918793,suicide,15-17 yrs,2,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,3.4538137912750244 +1970,23,0.3228622376918793,homicide,15-17 yrs,0,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,0 +1970,23,0.3228622376918793,other external,15-17 yrs,12,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,20.722883224487305 +1970,23,0.3228622376918793,internal,15-17 yrs,17,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,29.357418060302734 +1970,23,0.3228622376918793,all,18-20 yrs,75,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,142.01318359375 +1970,23,0.3228622376918793,MVA,18-20 yrs,38,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,71.9533462524414 +1970,23,0.3228622376918793,suicide,18-20 yrs,6,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,11.361054420471191 +1970,23,0.3228622376918793,homicide,18-20 yrs,1,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,1.893509030342102 +1970,23,0.3228622376918793,other external,18-20 yrs,9,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,17.041582107543945 +1970,23,0.3228622376918793,internal,18-20 yrs,21,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,39.76369094848633 +1970,23,0.3228622376918793,all,21-24 yrs,93,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,157.42965698242188 +1970,23,0.3228622376918793,MVA,21-24 yrs,48,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,81.25402069091797 +1970,23,0.3228622376918793,suicide,21-24 yrs,8,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,13.542336463928223 +1970,23,0.3228622376918793,homicide,21-24 yrs,3,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,5.078376293182373 +1970,23,0.3228622376918793,other external,21-24 yrs,19,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,32.16305160522461 +1970,23,0.3228622376918793,internal,21-24 yrs,15,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,25.391881942749023 +1971,23,0.3161870241165161,MVA,15-17 yrs,28,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,47.053287506103516 +1971,23,0.3161870241165161,suicide,15-17 yrs,4,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,6.721898078918457 +1971,23,0.3161870241165161,homicide,15-17 yrs,0,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,0 +1971,23,0.3161870241165161,other external,15-17 yrs,18,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,30.24854278564453 +1971,23,0.3161870241165161,internal,15-17 yrs,15,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,25.20711898803711 +1971,23,0.3161870241165161,all,18-20 yrs,61,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,112.38439178466797 +1971,23,0.3161870241165161,MVA,18-20 yrs,29,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,53.428646087646484 +1971,23,0.3161870241165161,suicide,18-20 yrs,8,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,14.738936424255371 +1971,23,0.3161870241165161,homicide,18-20 yrs,1,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,1.8423670530319214 +1971,23,0.3161870241165161,other external,18-20 yrs,11,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,20.266036987304688 +1971,23,0.3161870241165161,internal,18-20 yrs,12,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,22.1084041595459 +1971,23,0.3161870241165161,all,21-24 yrs,88,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,131.3707275390625 +1971,23,0.3161870241165161,MVA,21-24 yrs,42,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,62.699668884277344 +1971,23,0.3161870241165161,suicide,21-24 yrs,11,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,16.421340942382812 +1971,23,0.3161870241165161,homicide,21-24 yrs,4,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,5.9713969230651855 +1971,23,0.3161870241165161,other external,21-24 yrs,17,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,25.378437042236328 +1971,23,0.3161870241165161,internal,21-24 yrs,14,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,20.89988899230957 +1972,23,0.7181807160377502,MVA,15-17 yrs,28,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,45.82426452636719 +1972,23,0.7181807160377502,suicide,15-17 yrs,10,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,16.365808486938477 +1972,23,0.7181807160377502,homicide,15-17 yrs,0,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,0 +1972,23,0.7181807160377502,other external,15-17 yrs,16,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,26.185293197631836 +1972,23,0.7181807160377502,internal,15-17 yrs,20,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,32.73161697387695 +1972,23,0.7181807160377502,all,18-20 yrs,80,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,141.97235107421875 +1972,23,0.7181807160377502,MVA,18-20 yrs,50,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,88.73271942138672 +1972,23,0.7181807160377502,suicide,18-20 yrs,6,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,10.647926330566406 +1972,23,0.7181807160377502,homicide,18-20 yrs,0,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,0 +1972,23,0.7181807160377502,other external,18-20 yrs,10,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,17.746543884277344 +1972,23,0.7181807160377502,internal,18-20 yrs,14,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,24.84516143798828 +1972,23,0.7181807160377502,all,21-24 yrs,62,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,91.56156921386719 +1972,23,0.7181807160377502,MVA,21-24 yrs,34,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,50.211181640625 +1972,23,0.7181807160377502,suicide,21-24 yrs,4,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,5.907197952270508 +1972,23,0.7181807160377502,homicide,21-24 yrs,6,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,8.860796928405762 +1972,23,0.7181807160377502,other external,21-24 yrs,6,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,8.860796928405762 +1972,23,0.7181807160377502,internal,21-24 yrs,12,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,17.721593856811523 +1973,23,1,MVA,15-17 yrs,28,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,44.82438278198242 +1973,23,1,suicide,15-17 yrs,4,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,6.4034833908081055 +1973,23,1,homicide,15-17 yrs,3,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,4.802612781524658 +1973,23,1,other external,15-17 yrs,14,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,22.41219139099121 +1973,23,1,internal,15-17 yrs,9,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,14.407837867736816 +1973,23,1,all,18-20 yrs,79,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,137.0956573486328 +1973,23,1,MVA,18-20 yrs,43,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,74.62168884277344 +1973,23,1,suicide,18-20 yrs,10,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,17.353879928588867 +1973,23,1,homicide,18-20 yrs,3,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,5.2061638832092285 +1973,23,1,other external,18-20 yrs,12,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,20.824655532836914 +1973,23,1,internal,18-20 yrs,11,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,19.08926773071289 +1973,23,1,all,21-24 yrs,78,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,114.52567291259766 +1973,23,1,MVA,21-24 yrs,28,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,41.111778259277344 +1973,23,1,suicide,21-24 yrs,11,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,16.15105628967285 +1973,23,1,homicide,21-24 yrs,2,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,2.9365556240081787 +1973,23,1,other external,21-24 yrs,17,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,24.960723876953125 +1973,23,1,internal,21-24 yrs,20,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,29.365556716918945 +1974,23,1,MVA,15-17 yrs,22,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,34.30799102783203 +1974,23,1,suicide,15-17 yrs,1,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,1.5594542026519775 +1974,23,1,homicide,15-17 yrs,0,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,0 +1974,23,1,other external,15-17 yrs,12,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,18.713449478149414 +1974,23,1,internal,15-17 yrs,21,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,32.748538970947266 +1974,23,1,all,18-20 yrs,82,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,139.36097717285156 +1974,23,1,MVA,18-20 yrs,42,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,71.38001251220703 +1974,23,1,suicide,18-20 yrs,5,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,8.497620582580566 +1974,23,1,homicide,18-20 yrs,3,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,5.098572254180908 +1974,23,1,other external,18-20 yrs,24,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,40.788578033447266 +1974,23,1,internal,18-20 yrs,8,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,13.596193313598633 +1974,23,1,all,21-24 yrs,71,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,104.58556365966797 +1974,23,1,MVA,21-24 yrs,27,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,39.77197265625 +1974,23,1,suicide,21-24 yrs,8,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,11.78428840637207 +1974,23,1,homicide,21-24 yrs,3,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,4.4191083908081055 +1974,23,1,other external,21-24 yrs,15,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,22.09554100036621 +1974,23,1,internal,21-24 yrs,18,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,26.5146484375 +1975,23,1,MVA,15-17 yrs,32,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,49.49576187133789 +1975,23,1,suicide,15-17 yrs,4,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,6.186970233917236 +1975,23,1,homicide,15-17 yrs,0,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,0 +1975,23,1,other external,15-17 yrs,14,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,21.654396057128906 +1975,23,1,internal,15-17 yrs,14,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,21.654396057128906 +1975,23,1,all,18-20 yrs,76,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,125.9884262084961 +1975,23,1,MVA,18-20 yrs,33,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,54.705501556396484 +1975,23,1,suicide,18-20 yrs,10,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,16.577425003051758 +1975,23,1,homicide,18-20 yrs,3,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,4.973227500915527 +1975,23,1,other external,18-20 yrs,14,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,23.20839500427246 +1975,23,1,internal,18-20 yrs,16,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,26.523880004882812 +1975,23,1,all,21-24 yrs,80,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,115.03012084960938 +1975,23,1,MVA,21-24 yrs,36,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,51.76355743408203 +1975,23,1,suicide,21-24 yrs,12,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,17.254518508911133 +1975,23,1,homicide,21-24 yrs,4,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,5.751506328582764 +1975,23,1,other external,21-24 yrs,18,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,25.881778717041016 +1975,23,1,internal,21-24 yrs,10,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,14.378765106201172 +1976,23,1,MVA,15-17 yrs,26,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,39.63051986694336 +1976,23,1,suicide,15-17 yrs,2,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,3.04850172996521 +1976,23,1,homicide,15-17 yrs,1,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,1.524250864982605 +1976,23,1,other external,15-17 yrs,6,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,9.14550495147705 +1976,23,1,internal,15-17 yrs,16,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,24.38801383972168 +1976,23,1,all,18-20 yrs,70,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,112.9269027709961 +1976,23,1,MVA,18-20 yrs,39,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,62.91641616821289 +1976,23,1,suicide,18-20 yrs,5,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,8.0662078857421875 +1976,23,1,homicide,18-20 yrs,1,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,1.61324143409729 +1976,23,1,other external,18-20 yrs,17,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,27.425106048583984 +1976,23,1,internal,18-20 yrs,8,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,12.90593147277832 +1976,23,1,all,21-24 yrs,93,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,129.78675842285156 +1976,23,1,MVA,21-24 yrs,34,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,47.44892120361328 +1976,23,1,suicide,21-24 yrs,21,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,29.30668830871582 +1976,23,1,homicide,21-24 yrs,0,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,0 +1976,23,1,other external,21-24 yrs,29,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,40.47113800048828 +1976,23,1,internal,21-24 yrs,9,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,12.560009002685547 +1977,23,0.8646739721298218,MVA,15-17 yrs,18,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,27.262399673461914 +1977,23,0.8646739721298218,suicide,15-17 yrs,4,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,6.058311462402344 +1977,23,0.8646739721298218,homicide,15-17 yrs,3,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,4.543733596801758 +1977,23,0.8646739721298218,other external,15-17 yrs,6,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,9.087467193603516 +1977,23,0.8646739721298218,internal,15-17 yrs,13,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,19.689512252807617 +1977,23,0.8646739721298218,all,18-20 yrs,83,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,130.4354705810547 +1977,23,0.8646739721298218,MVA,18-20 yrs,53,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,83.29011535644531 +1977,23,0.8646739721298218,suicide,18-20 yrs,11,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,17.28662872314453 +1977,23,0.8646739721298218,homicide,18-20 yrs,2,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,3.1430232524871826 +1977,23,0.8646739721298218,other external,18-20 yrs,7,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,11.000581741333008 +1977,23,0.8646739721298218,internal,18-20 yrs,10,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,15.715116500854492 +1977,23,0.8646739721298218,all,21-24 yrs,82,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,111.41909790039062 +1977,23,0.8646739721298218,MVA,21-24 yrs,22,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,29.892929077148438 +1977,23,0.8646739721298218,suicide,21-24 yrs,13,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,17.664003372192383 +1977,23,0.8646739721298218,homicide,21-24 yrs,2,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,2.717539072036743 +1977,23,0.8646739721298218,other external,21-24 yrs,20,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,27.175390243530273 +1977,23,0.8646739721298218,internal,21-24 yrs,25,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,33.96923828125 +1978,23,0.3268018960952759,MVA,15-17 yrs,20,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,30.144996643066406 +1978,23,0.3268018960952759,suicide,15-17 yrs,4,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,6.028999328613281 +1978,23,0.3268018960952759,homicide,15-17 yrs,1,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,1.5072498321533203 +1978,23,0.3268018960952759,other external,15-17 yrs,11,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,16.579748153686523 +1978,23,0.3268018960952759,internal,15-17 yrs,17,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,25.623247146606445 +1978,23,0.3268018960952759,all,18-20 yrs,91,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,142.9895782470703 +1978,23,0.3268018960952759,MVA,18-20 yrs,60,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,94.27884674072266 +1978,23,0.3268018960952759,suicide,18-20 yrs,9,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,14.141826629638672 +1978,23,0.3268018960952759,homicide,18-20 yrs,3,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,4.713942050933838 +1978,23,0.3268018960952759,other external,18-20 yrs,5,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,7.856570243835449 +1978,23,0.3268018960952759,internal,18-20 yrs,14,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,21.998397827148438 +1978,23,0.3268018960952759,all,21-24 yrs,92,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,122.39901733398438 +1978,23,0.3268018960952759,MVA,21-24 yrs,42,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,55.87781524658203 +1978,23,0.3268018960952759,suicide,21-24 yrs,6,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,7.982544898986816 +1978,23,0.3268018960952759,homicide,21-24 yrs,2,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,2.660848379135132 +1978,23,0.3268018960952759,other external,21-24 yrs,21,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,27.938907623291016 +1978,23,0.3268018960952759,internal,21-24 yrs,21,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,27.938907623291016 +1979,23,0.3257346749305725,MVA,15-17 yrs,30,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,45.765193939208984 +1979,23,0.3257346749305725,suicide,15-17 yrs,6,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,9.15303897857666 +1979,23,0.3257346749305725,homicide,15-17 yrs,2,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,3.0510129928588867 +1979,23,0.3257346749305725,other external,15-17 yrs,13,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,19.831584930419922 +1979,23,0.3257346749305725,internal,15-17 yrs,9,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,13.729557991027832 +1979,23,0.3257346749305725,all,18-20 yrs,77,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,120.55549621582031 +1979,23,0.3257346749305725,MVA,18-20 yrs,47,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,73.58582305908203 +1979,23,0.3257346749305725,suicide,18-20 yrs,7,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,10.959589958190918 +1979,23,0.3257346749305725,homicide,18-20 yrs,2,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,3.1313116550445557 +1979,23,0.3257346749305725,other external,18-20 yrs,16,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,25.050493240356445 +1979,23,0.3257346749305725,internal,18-20 yrs,5,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,7.8282790184021 +1979,23,0.3257346749305725,all,21-24 yrs,84,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,109.84700012207031 +1979,23,0.3257346749305725,MVA,21-24 yrs,40,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,52.3080940246582 +1979,23,0.3257346749305725,suicide,21-24 yrs,11,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,14.384725570678711 +1979,23,0.3257346749305725,homicide,21-24 yrs,4,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,5.230809688568115 +1979,23,0.3257346749305725,other external,21-24 yrs,10,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,13.07702350616455 +1979,23,0.3257346749305725,internal,21-24 yrs,19,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,24.846345901489258 +1980,23,0.32457977533340454,MVA,15-17 yrs,29,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,45.29268264770508 +1980,23,0.32457977533340454,suicide,15-17 yrs,4,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,6.24726676940918 +1980,23,0.32457977533340454,homicide,15-17 yrs,3,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,4.685450077056885 +1980,23,0.32457977533340454,other external,15-17 yrs,9,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,14.056350708007812 +1980,23,0.32457977533340454,internal,15-17 yrs,8,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,12.49453353881836 +1980,23,0.32457977533340454,all,18-20 yrs,96,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,149.9718780517578 +1980,23,0.32457977533340454,MVA,18-20 yrs,54,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,84.35918426513672 +1980,23,0.32457977533340454,suicide,18-20 yrs,9,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,14.059864044189453 +1980,23,0.32457977533340454,homicide,18-20 yrs,4,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,6.248828411102295 +1980,23,0.32457977533340454,other external,18-20 yrs,16,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,24.99531364440918 +1980,23,0.32457977533340454,internal,18-20 yrs,13,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,20.308692932128906 +1980,23,0.32457977533340454,all,21-24 yrs,86,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,110.26630401611328 +1980,23,0.32457977533340454,MVA,21-24 yrs,41,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,52.56882095336914 +1980,23,0.32457977533340454,suicide,21-24 yrs,12,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,15.385995864868164 +1980,23,0.32457977533340454,homicide,21-24 yrs,2,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,2.5643327236175537 +1980,23,0.32457977533340454,other external,21-24 yrs,13,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,16.668163299560547 +1980,23,0.32457977533340454,internal,21-24 yrs,18,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,23.078994750976562 +1981,23,0.33144843578338623,MVA,15-17 yrs,21,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,34.03896713256836 +1981,23,0.33144843578338623,suicide,15-17 yrs,6,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,9.725419044494629 +1981,23,0.33144843578338623,homicide,15-17 yrs,2,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,3.2418062686920166 +1981,23,0.33144843578338623,other external,15-17 yrs,6,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,9.725419044494629 +1981,23,0.33144843578338623,internal,15-17 yrs,4,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,6.483612537384033 +1981,23,0.33144843578338623,all,18-20 yrs,75,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,115.8748550415039 +1981,23,0.33144843578338623,MVA,18-20 yrs,39,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,60.25492477416992 +1981,23,0.33144843578338623,suicide,18-20 yrs,11,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,16.994977951049805 +1981,23,0.33144843578338623,homicide,18-20 yrs,1,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,1.544998049736023 +1981,23,0.33144843578338623,other external,18-20 yrs,8,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,12.359984397888184 +1981,23,0.33144843578338623,internal,18-20 yrs,16,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,24.719968795776367 +1981,23,0.33144843578338623,all,21-24 yrs,91,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,115.59371948242188 +1981,23,0.33144843578338623,MVA,21-24 yrs,40,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,50.8104248046875 +1981,23,0.33144843578338623,suicide,21-24 yrs,9,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,11.43234634399414 +1981,23,0.33144843578338623,homicide,21-24 yrs,4,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,5.081042766571045 +1981,23,0.33144843578338623,other external,21-24 yrs,20,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,25.40521240234375 +1981,23,0.33144843578338623,internal,21-24 yrs,18,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,22.86469268798828 +1982,23,0.33484622836112976,MVA,15-17 yrs,13,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,21.903959274291992 +1982,23,0.33484622836112976,suicide,15-17 yrs,5,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,8.424599647521973 +1982,23,0.33484622836112976,homicide,15-17 yrs,0,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,0 +1982,23,0.33484622836112976,other external,15-17 yrs,5,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,8.424599647521973 +1982,23,0.33484622836112976,internal,15-17 yrs,10,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,16.849199295043945 +1982,23,0.33484622836112976,all,18-20 yrs,57,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,89.20885467529297 +1982,23,0.33484622836112976,MVA,18-20 yrs,27,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,42.25682830810547 +1982,23,0.33484622836112976,suicide,18-20 yrs,9,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,14.085609436035156 +1982,23,0.33484622836112976,homicide,18-20 yrs,1,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,1.5650676488876343 +1982,23,0.33484622836112976,other external,18-20 yrs,10,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,15.650676727294922 +1982,23,0.33484622836112976,internal,18-20 yrs,10,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,15.650676727294922 +1982,23,0.33484622836112976,all,21-24 yrs,67,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,84.89179229736328 +1982,23,0.33484622836112976,MVA,21-24 yrs,18,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,22.806751251220703 +1982,23,0.33484622836112976,suicide,21-24 yrs,17,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,21.539709091186523 +1982,23,0.33484622836112976,homicide,21-24 yrs,3,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,3.8011250495910645 +1982,23,0.33484622836112976,other external,21-24 yrs,8,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,10.136333465576172 +1982,23,0.33484622836112976,internal,21-24 yrs,21,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,26.60787582397461 +1983,23,0.33973491191864014,MVA,15-17 yrs,21,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,36.6799430847168 +1983,23,0.33973491191864014,suicide,15-17 yrs,7,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,12.22664737701416 +1983,23,0.33973491191864014,homicide,15-17 yrs,2,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,3.4933278560638428 +1983,23,0.33973491191864014,other external,15-17 yrs,7,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,12.22664737701416 +1983,23,0.33973491191864014,internal,15-17 yrs,5,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,8.733319282531738 +1983,23,0.33973491191864014,all,18-20 yrs,63,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,100.48968505859375 +1983,23,0.33973491191864014,MVA,18-20 yrs,34,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,54.23252868652344 +1983,23,0.33973491191864014,suicide,18-20 yrs,11,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,17.545818328857422 +1983,23,0.33973491191864014,homicide,18-20 yrs,1,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,1.5950744152069092 +1983,23,0.33973491191864014,other external,18-20 yrs,10,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,15.950743675231934 +1983,23,0.33973491191864014,internal,18-20 yrs,7,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,11.165520668029785 +1983,23,0.33973491191864014,all,21-24 yrs,87,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,109.53591918945312 +1983,23,0.33973491191864014,MVA,21-24 yrs,42,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,52.87940979003906 +1983,23,0.33973491191864014,suicide,21-24 yrs,22,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,27.69873809814453 +1983,23,0.33973491191864014,homicide,21-24 yrs,3,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,3.7771008014678955 +1983,23,0.33973491191864014,other external,21-24 yrs,9,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,11.33130168914795 +1983,23,0.33973491191864014,internal,21-24 yrs,11,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,13.849369049072266 +1984,23,0.34369754791259766,MVA,15-17 yrs,15,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,26.70322036743164 +1984,23,0.34369754791259766,suicide,15-17 yrs,8,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,14.241717338562012 +1984,23,0.34369754791259766,homicide,15-17 yrs,0,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,0 +1984,23,0.34369754791259766,other external,15-17 yrs,4,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,7.120858669281006 +1984,23,0.34369754791259766,internal,15-17 yrs,5,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,8.901073455810547 +1984,23,0.34369754791259766,all,18-20 yrs,75,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,123.44866180419922 +1984,23,0.34369754791259766,MVA,18-20 yrs,42,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,69.1312484741211 +1984,23,0.34369754791259766,suicide,18-20 yrs,16,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,26.33571434020996 +1984,23,0.34369754791259766,homicide,18-20 yrs,0,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,0 +1984,23,0.34369754791259766,other external,18-20 yrs,10,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,16.459821701049805 +1984,23,0.34369754791259766,internal,18-20 yrs,7,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,11.521875381469727 +1984,23,0.34369754791259766,all,21-24 yrs,66,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,82.95208740234375 +1984,23,0.34369754791259766,MVA,21-24 yrs,23,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,28.907546997070312 +1984,23,0.34369754791259766,suicide,21-24 yrs,11,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,13.825347900390625 +1984,23,0.34369754791259766,homicide,21-24 yrs,5,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,6.284249305725098 +1984,23,0.34369754791259766,other external,21-24 yrs,5,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,6.284249305725098 +1984,23,0.34369754791259766,internal,21-24 yrs,22,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,27.65069580078125 +1985,23,0.2995818853378296,MVA,15-17 yrs,19,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,34.04834747314453 +1985,23,0.2995818853378296,suicide,15-17 yrs,2,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,3.5840365886688232 +1985,23,0.2995818853378296,homicide,15-17 yrs,1,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,1.7920182943344116 +1985,23,0.2995818853378296,other external,15-17 yrs,4,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,7.1680731773376465 +1985,23,0.2995818853378296,internal,15-17 yrs,5,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,8.960091590881348 +1985,23,0.2995818853378296,all,18-20 yrs,58,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,99.04878997802734 +1985,23,0.2995818853378296,MVA,18-20 yrs,32,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,54.64760971069336 +1985,23,0.2995818853378296,suicide,18-20 yrs,9,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,15.36963939666748 +1985,23,0.2995818853378296,homicide,18-20 yrs,2,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,3.415475606918335 +1985,23,0.2995818853378296,other external,18-20 yrs,8,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,13.66190242767334 +1985,23,0.2995818853378296,internal,18-20 yrs,7,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,11.954164505004883 +1985,23,0.2995818853378296,all,21-24 yrs,76,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,96.03356170654297 +1985,23,0.2995818853378296,MVA,21-24 yrs,23,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,29.062788009643555 +1985,23,0.2995818853378296,suicide,21-24 yrs,20,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,25.271989822387695 +1985,23,0.2995818853378296,homicide,21-24 yrs,5,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,6.317997455596924 +1985,23,0.2995818853378296,other external,21-24 yrs,13,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,16.426794052124023 +1985,23,0.2995818853378296,internal,21-24 yrs,15,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,18.95399284362793 +1986,23,0.041973989456892014,MVA,15-17 yrs,13,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,23.051280975341797 +1986,23,0.041973989456892014,suicide,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,homicide,15-17 yrs,1,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,1.7731753587722778 +1986,23,0.041973989456892014,other external,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,internal,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,all,18-20 yrs,44,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,78.0307846069336 +1986,23,0.041973989456892014,MVA,18-20 yrs,26,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,46.109100341796875 +1986,23,0.041973989456892014,suicide,18-20 yrs,9,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,15.960843086242676 +1986,23,0.041973989456892014,homicide,18-20 yrs,0,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,0 +1986,23,0.041973989456892014,other external,18-20 yrs,4,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.093708038330078 +1986,23,0.041973989456892014,internal,18-20 yrs,5,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,8.867135047912598 +1986,23,0.041973989456892014,all,21-24 yrs,71,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,91.80955505371094 +1986,23,0.041973989456892014,MVA,21-24 yrs,38,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,49.137508392333984 +1986,23,0.041973989456892014,suicide,21-24 yrs,7,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,9.05164623260498 +1986,23,0.041973989456892014,homicide,21-24 yrs,2,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,2.586184501647949 +1986,23,0.041973989456892014,other external,21-24 yrs,8,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,10.344738006591797 +1986,23,0.041973989456892014,internal,21-24 yrs,16,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,20.689476013183594 +1987,23,0,MVA,15-17 yrs,12,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,21.386943817138672 +1987,23,0,suicide,15-17 yrs,3,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,5.346735954284668 +1987,23,0,homicide,15-17 yrs,1,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,1.7822452783584595 +1987,23,0,other external,15-17 yrs,6,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,10.693471908569336 +1987,23,0,internal,15-17 yrs,7,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.475716590881348 +1987,23,0,all,18-20 yrs,60,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,108.11589813232422 +1987,23,0,MVA,18-20 yrs,35,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,63.06760787963867 +1987,23,0,suicide,18-20 yrs,10,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,18.019317626953125 +1987,23,0,homicide,18-20 yrs,1,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,1.801931619644165 +1987,23,0,other external,18-20 yrs,7,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.613521575927734 +1987,23,0,internal,18-20 yrs,7,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.613521575927734 +1987,23,0,all,21-24 yrs,64,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,85.33788299560547 +1987,23,0,MVA,21-24 yrs,26,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,34.668514251708984 +1987,23,0,suicide,21-24 yrs,11,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,14.667448997497559 +1987,23,0,homicide,21-24 yrs,6,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,8.000426292419434 +1987,23,0,other external,21-24 yrs,10,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,13.334044456481934 +1987,23,0,internal,21-24 yrs,11,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,14.667448997497559 +1988,23,0,MVA,15-17 yrs,22,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,40.38253402709961 +1988,23,0,suicide,15-17 yrs,4,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,7.342278480529785 +1988,23,0,homicide,15-17 yrs,0,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,0 +1988,23,0,other external,15-17 yrs,6,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,11.013418197631836 +1988,23,0,internal,15-17 yrs,9,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,16.520126342773438 +1988,23,0,all,18-20 yrs,61,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,109.23481750488281 +1988,23,0,MVA,18-20 yrs,29,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,51.93130874633789 +1988,23,0,suicide,18-20 yrs,12,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,21.48881721496582 +1988,23,0,homicide,18-20 yrs,0,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,0 +1988,23,0,other external,18-20 yrs,9,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,16.116613388061523 +1988,23,0,internal,18-20 yrs,11,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,19.698081970214844 +1988,23,0,all,21-24 yrs,69,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,94.7515869140625 +1988,23,0,MVA,21-24 yrs,30,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,41.19634246826172 +1988,23,0,suicide,21-24 yrs,16,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,21.97138214111328 +1988,23,0,homicide,21-24 yrs,4,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,5.49284553527832 +1988,23,0,other external,21-24 yrs,9,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,12.358902931213379 +1988,23,0,internal,21-24 yrs,10,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,13.7321138381958 +1989,23,0,MVA,15-17 yrs,10,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,19.26485252380371 +1989,23,0,suicide,15-17 yrs,9,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,17.338367462158203 +1989,23,0,homicide,15-17 yrs,2,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,3.852970600128174 +1989,23,0,other external,15-17 yrs,4,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,7.705941200256348 +1989,23,0,internal,15-17 yrs,8,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,15.411882400512695 +1989,23,0,all,18-20 yrs,51,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,89.807708740234375 +1989,23,0,MVA,18-20 yrs,20,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,35.21870803833008 +1989,23,0,suicide,18-20 yrs,7,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,12.326547622680664 +1989,23,0,homicide,18-20 yrs,1,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,1.7609354257583618 +1989,23,0,other external,18-20 yrs,7,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,12.326547622680664 +1989,23,0,internal,18-20 yrs,16,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,28.17496681213379 +1989,23,0,all,21-24 yrs,75,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,107.25164031982422 +1989,23,0,MVA,21-24 yrs,27,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,38.610591888427734 +1989,23,0,suicide,21-24 yrs,21,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,30.030460357666016 +1989,23,0,homicide,21-24 yrs,1,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,1.43002188205719 +1989,23,0,other external,21-24 yrs,11,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,15.730240821838379 +1989,23,0,internal,21-24 yrs,15,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,21.450328826904297 +1990,23,0,MVA,15-17 yrs,18,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,36.014404296875 +1990,23,0,suicide,15-17 yrs,5,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,10.00400161743164 +1990,23,0,homicide,15-17 yrs,1,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,2.000800371170044 +1990,23,0,other external,15-17 yrs,6,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,12.004801750183105 +1990,23,0,internal,15-17 yrs,5,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,10.00400161743164 +1990,23,0,all,18-20 yrs,39,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,68.59193420410156 +1990,23,0,MVA,18-20 yrs,19,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,33.41658020019531 +1990,23,0,suicide,18-20 yrs,8,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,14.07013988494873 +1990,23,0,homicide,18-20 yrs,3,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,5.276302337646484 +1990,23,0,other external,18-20 yrs,4,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,7.035069942474365 +1990,23,0,internal,18-20 yrs,5,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,8.793837547302246 +1990,23,0,all,21-24 yrs,56,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,82.654388427734375 +1990,23,0,MVA,21-24 yrs,19,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,28.043453216552734 +1990,23,0,suicide,21-24 yrs,14,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,20.663597106933594 +1990,23,0,homicide,21-24 yrs,3,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,4.427913665771484 +1990,23,0,other external,21-24 yrs,6,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,8.855827331542969 +1990,23,0,internal,21-24 yrs,14,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,20.663597106933594 +1991,23,0,MVA,15-17 yrs,18,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,36.419551849365234 +1991,23,0,suicide,15-17 yrs,2,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,4.046617031097412 +1991,23,0,homicide,15-17 yrs,1,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,2.023308515548706 +1991,23,0,other external,15-17 yrs,3,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,6.069925308227539 +1991,23,0,internal,15-17 yrs,4,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.093234062194824 +1991,23,0,all,18-20 yrs,58,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,105.51593780517578 +1991,23,0,MVA,18-20 yrs,27,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,49.11948776245117 +1991,23,0,suicide,18-20 yrs,13,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,23.650123596191406 +1991,23,0,homicide,18-20 yrs,1,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,1.8192403316497803 +1991,23,0,other external,18-20 yrs,7,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,12.734682083129883 +1991,23,0,internal,18-20 yrs,10,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,18.19240379333496 +1991,23,0,all,21-24 yrs,54,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,79.78958892822266 +1991,23,0,MVA,21-24 yrs,25,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,36.93962478637695 +1991,23,0,suicide,21-24 yrs,15,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,22.163776397705078 +1991,23,0,homicide,21-24 yrs,2,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,2.955170154571533 +1991,23,0,other external,21-24 yrs,6,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.865509986877441 +1991,23,0,internal,21-24 yrs,6,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.865509986877441 +1992,23,0,MVA,15-17 yrs,21,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,42.18646240234375 +1992,23,0,suicide,15-17 yrs,6,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,12.053275108337402 +1992,23,0,homicide,15-17 yrs,0,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,0 +1992,23,0,other external,15-17 yrs,3,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,6.026637554168701 +1992,23,0,internal,15-17 yrs,4,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,8.035516738891602 +1992,23,0,all,18-20 yrs,34,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,65.47401428222656 +1992,23,0,MVA,18-20 yrs,16,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,30.81130027770996 +1992,23,0,suicide,18-20 yrs,7,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,13.479944229125977 +1992,23,0,homicide,18-20 yrs,1,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,1.9257062673568726 +1992,23,0,other external,18-20 yrs,3,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,5.777118682861328 +1992,23,0,internal,18-20 yrs,7,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,13.479944229125977 +1992,23,0,all,21-24 yrs,62,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,91.114837646484375 +1992,23,0,MVA,21-24 yrs,17,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,24.98309898376465 +1992,23,0,suicide,21-24 yrs,11,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,16.16553497314453 +1992,23,0,homicide,21-24 yrs,2,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,2.939188241958618 +1992,23,0,other external,21-24 yrs,11,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,16.16553497314453 +1992,23,0,internal,21-24 yrs,21,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,30.86147689819336 +1993,23,0,MVA,15-17 yrs,16,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,31.71142578125 +1993,23,0,suicide,15-17 yrs,6,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,11.89178466796875 +1993,23,0,homicide,15-17 yrs,0,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,0 +1993,23,0,other external,15-17 yrs,5,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,9.909820556640625 +1993,23,0,internal,15-17 yrs,1,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.981964111328125 +1993,23,0,all,18-20 yrs,50,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,99.61548614501953 +1993,23,0,MVA,18-20 yrs,28,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,55.784671783447266 +1993,23,0,suicide,18-20 yrs,4,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,7.969238758087158 +1993,23,0,homicide,18-20 yrs,1,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.9923096895217896 +1993,23,0,other external,18-20 yrs,9,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.930788040161133 +1993,23,0,internal,18-20 yrs,8,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,15.938477516174316 +1993,23,0,all,21-24 yrs,58,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,84.9891586303711 +1993,23,0,MVA,21-24 yrs,12,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.58396339416504 +1993,23,0,suicide,21-24 yrs,16,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,23.445283889770508 +1993,23,0,homicide,21-24 yrs,1,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.4653302431106567 +1993,23,0,other external,21-24 yrs,12,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.58396339416504 +1993,23,0,internal,21-24 yrs,17,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,24.910614013671875 +1994,23,0,MVA,15-17 yrs,15,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,28.930721282958984 +1994,23,0,suicide,15-17 yrs,6,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,11.572288513183594 +1994,23,0,homicide,15-17 yrs,1,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,1.9287147521972656 +1994,23,0,other external,15-17 yrs,5,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,9.643573760986328 +1994,23,0,internal,15-17 yrs,6,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,11.572288513183594 +1994,23,0,all,18-20 yrs,37,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,75.65379333496094 +1994,23,0,MVA,18-20 yrs,19,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,38.8492431640625 +1994,23,0,suicide,18-20 yrs,5,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,10.223484992980957 +1994,23,0,homicide,18-20 yrs,0,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,0 +1994,23,0,other external,18-20 yrs,3,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,6.134091377258301 +1994,23,0,internal,18-20 yrs,10,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,20.446969985961914 +1994,23,0,all,21-24 yrs,40,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,60.172996520996094 +1994,23,0,MVA,21-24 yrs,13,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,19.556224822998047 +1994,23,0,suicide,21-24 yrs,14,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,21.060548782348633 +1994,23,0,homicide,21-24 yrs,1,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,1.5043249130249023 +1994,23,0,other external,21-24 yrs,3,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,4.512974739074707 +1994,23,0,internal,21-24 yrs,9,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,13.538924217224121 +1995,23,0,MVA,15-17 yrs,6,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,11.341511726379395 +1995,23,0,suicide,15-17 yrs,4,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,7.561007976531982 +1995,23,0,homicide,15-17 yrs,0,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,0 +1995,23,0,other external,15-17 yrs,3,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,5.670755863189697 +1995,23,0,internal,15-17 yrs,10,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,18.90251922607422 +1995,23,0,all,18-20 yrs,32,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,65.314117431640625 +1995,23,0,MVA,18-20 yrs,17,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,34.69812774658203 +1995,23,0,suicide,18-20 yrs,4,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,8.164264678955078 +1995,23,0,homicide,18-20 yrs,1,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,2.0410661697387695 +1995,23,0,other external,18-20 yrs,6,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,12.246397972106934 +1995,23,0,internal,18-20 yrs,4,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,8.164264678955078 +1995,23,0,all,21-24 yrs,49,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,76.71833038330078 +1995,23,0,MVA,21-24 yrs,23,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,36.01064682006836 +1995,23,0,suicide,21-24 yrs,9,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,14.0911226272583 +1995,23,0,homicide,21-24 yrs,2,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,3.1313605308532715 +1995,23,0,other external,21-24 yrs,6,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,9.394082069396973 +1995,23,0,internal,21-24 yrs,9,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,14.0911226272583 +1996,23,0,MVA,15-17 yrs,16,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,29.829042434692383 +1996,23,0,suicide,15-17 yrs,3,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,5.592945575714111 +1996,23,0,homicide,15-17 yrs,0,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,0 +1996,23,0,other external,15-17 yrs,1,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,1.864315152168274 +1996,23,0,internal,15-17 yrs,5,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,9.321576118469238 +1996,23,0,all,18-20 yrs,35,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,70.65140533447266 +1996,23,0,MVA,18-20 yrs,16,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,32.297786712646484 +1996,23,0,suicide,18-20 yrs,3,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,6.055834770202637 +1996,23,0,homicide,18-20 yrs,1,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,2.0186116695404053 +1996,23,0,other external,18-20 yrs,8,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,16.148893356323242 +1996,23,0,internal,18-20 yrs,7,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,14.130281448364258 +1996,23,0,all,21-24 yrs,40,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,65.129608154296875 +1996,23,0,MVA,21-24 yrs,14,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,22.79536247253418 +1996,23,0,suicide,21-24 yrs,6,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,9.769441604614258 +1996,23,0,homicide,21-24 yrs,5,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,8.14120101928711 +1996,23,0,other external,21-24 yrs,1,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,1.6282402276992798 +1996,23,0,internal,21-24 yrs,14,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,22.79536247253418 +1970,24,0,MVA,15-17 yrs,47,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.07774543762207 +1970,24,0,suicide,15-17 yrs,2,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,0.8969253301620483 +1970,24,0,homicide,15-17 yrs,17,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,7.623865604400635 +1970,24,0,other external,15-17 yrs,40,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,17.938507080078125 +1970,24,0,internal,15-17 yrs,65,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,29.150074005126953 +1970,24,0,all,18-20 yrs,258,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,130.1682586669922 +1970,24,0,MVA,18-20 yrs,76,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,38.344139099121094 +1970,24,0,suicide,18-20 yrs,18,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,9.081506729125977 +1970,24,0,homicide,18-20 yrs,30,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,15.135844230651855 +1970,24,0,other external,18-20 yrs,43,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.69470977783203 +1970,24,0,internal,18-20 yrs,91,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,45.91205978393555 +1970,24,0,all,21-24 yrs,376,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,144.0966339111328 +1970,24,0,MVA,21-24 yrs,90,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,34.491214752197266 +1970,24,0,suicide,21-24 yrs,31,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,11.880308151245117 +1970,24,0,homicide,21-24 yrs,56,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.461200714111328 +1970,24,0,other external,21-24 yrs,56,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.461200714111328 +1970,24,0,internal,21-24 yrs,143,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,54.802711486816406 +1971,24,0,MVA,15-17 yrs,49,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,21.015972137451172 +1971,24,0,suicide,15-17 yrs,12,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,5.146768569946289 +1971,24,0,homicide,15-17 yrs,24,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,10.293537139892578 +1971,24,0,other external,15-17 yrs,55,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,23.589357376098633 +1971,24,0,internal,15-17 yrs,88,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,37.74296951293945 +1971,24,0,all,18-20 yrs,291,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,135.54112243652344 +1971,24,0,MVA,18-20 yrs,78,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,36.33060836791992 +1971,24,0,suicide,18-20 yrs,23,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,10.712871551513672 +1971,24,0,homicide,18-20 yrs,44,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,20.494190216064453 +1971,24,0,other external,18-20 yrs,43,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,20.028411865234375 +1971,24,0,internal,18-20 yrs,103,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,47.975032806396484 +1971,24,0,all,21-24 yrs,406,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,148.8046112060547 +1971,24,0,MVA,21-24 yrs,103,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,37.75092315673828 +1971,24,0,suicide,21-24 yrs,26,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,9.529359817504883 +1971,24,0,homicide,21-24 yrs,68,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,24.922941207885742 +1971,24,0,other external,21-24 yrs,59,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,21.62431526184082 +1971,24,0,internal,21-24 yrs,150,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,54.977073669433594 +1972,24,0,MVA,15-17 yrs,70,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,28.945714950561523 +1972,24,0,suicide,15-17 yrs,14,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,5.789143085479736 +1972,24,0,homicide,15-17 yrs,10,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,4.135102272033691 +1972,24,0,other external,15-17 yrs,46,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,19.021469116210938 +1972,24,0,internal,15-17 yrs,92,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,38.042938232421875 +1972,24,0,all,18-20 yrs,286,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,127.37548828125 +1972,24,0,MVA,18-20 yrs,76,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,33.84803009033203 +1972,24,0,suicide,18-20 yrs,6,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,2.672213077545166 +1972,24,0,homicide,18-20 yrs,50,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,22.268442153930664 +1972,24,0,other external,18-20 yrs,60,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,26.722129821777344 +1972,24,0,internal,18-20 yrs,94,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,41.86466979980469 +1972,24,0,all,21-24 yrs,466,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,176.59877014160156 +1972,24,0,MVA,21-24 yrs,136,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,51.539554595947266 +1972,24,0,suicide,21-24 yrs,54,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,20.464235305786133 +1972,24,0,homicide,21-24 yrs,84,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,31.833253860473633 +1972,24,0,other external,21-24 yrs,52,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,19.706300735473633 +1972,24,0,internal,21-24 yrs,140,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,53.055423736572266 +1973,24,0,MVA,15-17 yrs,76,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,30.68562126159668 +1973,24,0,suicide,15-17 yrs,7,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,2.8263072967529297 +1973,24,0,homicide,15-17 yrs,18,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,7.2676472663879395 +1973,24,0,other external,15-17 yrs,56,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,22.610458374023438 +1973,24,0,internal,15-17 yrs,67,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,27.05179786682129 +1973,24,0,all,18-20 yrs,306,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,131.38967895507812 +1973,24,0,MVA,18-20 yrs,99,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,42.508426666259766 +1973,24,0,suicide,18-20 yrs,28,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,12.022584915161133 +1973,24,0,homicide,18-20 yrs,43,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,18.4632568359375 +1973,24,0,other external,18-20 yrs,55,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,23.615793228149414 +1973,24,0,internal,18-20 yrs,81,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,34.77962112426758 +1973,24,0,all,21-24 yrs,371,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,139.24700927734375 +1973,24,0,MVA,21-24 yrs,88,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,33.0289421081543 +1973,24,0,suicide,21-24 yrs,43,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,16.139141082763672 +1973,24,0,homicide,21-24 yrs,65,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,24.396377563476562 +1973,24,0,other external,21-24 yrs,51,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,19.141773223876953 +1973,24,0,internal,21-24 yrs,124,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,46.5407829284668 +1974,24,0.5041095614433289,MVA,15-17 yrs,71,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,28.087331771850586 +1974,24,0.5041095614433289,suicide,15-17 yrs,15,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,5.933943271636963 +1974,24,0.5041095614433289,homicide,15-17 yrs,20,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,7.911924362182617 +1974,24,0.5041095614433289,other external,15-17 yrs,47,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,18.5930233001709 +1974,24,0.5041095614433289,internal,15-17 yrs,66,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,26.109350204467773 +1974,24,0.5041095614433289,all,18-20 yrs,330,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,139.3416290283203 +1974,24,0.5041095614433289,MVA,18-20 yrs,126,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,53.20316696166992 +1974,24,0.5041095614433289,suicide,18-20 yrs,29,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,12.245173454284668 +1974,24,0.5041095614433289,homicide,18-20 yrs,43,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,18.15663719177246 +1974,24,0.5041095614433289,other external,18-20 yrs,41,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,17.31214141845703 +1974,24,0.5041095614433289,internal,18-20 yrs,91,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,38.42451095581055 +1974,24,0.5041095614433289,all,21-24 yrs,394,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,142.97586059570312 +1974,24,0.5041095614433289,MVA,21-24 yrs,83,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,30.119279861450195 +1974,24,0.5041095614433289,suicide,21-24 yrs,47,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,17.055496215820312 +1974,24,0.5041095614433289,homicide,21-24 yrs,71,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,25.764684677124023 +1974,24,0.5041095614433289,other external,21-24 yrs,60,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,21.772974014282227 +1974,24,0.5041095614433289,internal,21-24 yrs,133,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,48.263423919677734 +1975,24,1,MVA,15-17 yrs,70,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,27.647876739501953 +1975,24,1,suicide,15-17 yrs,11,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,4.344666481018066 +1975,24,1,homicide,15-17 yrs,38,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,15.0088472366333 +1975,24,1,other external,15-17 yrs,43,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,16.98369598388672 +1975,24,1,internal,15-17 yrs,66,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,26.0679988861084 +1975,24,1,all,18-20 yrs,268,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,111.10650634765625 +1975,24,1,MVA,18-20 yrs,93,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,38.55561447143555 +1975,24,1,suicide,18-20 yrs,19,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,7.876953601837158 +1975,24,1,homicide,18-20 yrs,42,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,17.412214279174805 +1975,24,1,other external,18-20 yrs,52,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,21.5579776763916 +1975,24,1,internal,18-20 yrs,62,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,25.70374298095703 +1975,24,1,all,21-24 yrs,380,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,132.21116638183594 +1975,24,1,MVA,21-24 yrs,103,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,35.836181640625 +1975,24,1,suicide,21-24 yrs,43,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,14.960737228393555 +1975,24,1,homicide,21-24 yrs,71,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,24.702611923217773 +1975,24,1,other external,21-24 yrs,67,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,23.310914993286133 +1975,24,1,internal,21-24 yrs,96,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,33.40071487426758 +1976,24,1,MVA,15-17 yrs,60,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,23.66695785522461 +1976,24,1,suicide,15-17 yrs,17,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,6.705638408660889 +1976,24,1,homicide,15-17 yrs,11,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,4.338942527770996 +1976,24,1,other external,15-17 yrs,32,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,12.6223783493042 +1976,24,1,internal,15-17 yrs,63,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,24.850305557250977 +1976,24,1,all,18-20 yrs,276,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,112.83682250976562 +1976,24,1,MVA,18-20 yrs,104,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,42.51822280883789 +1976,24,1,suicide,18-20 yrs,37,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,15.126675605773926 +1976,24,1,homicide,18-20 yrs,17,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,6.950094223022461 +1976,24,1,other external,18-20 yrs,45,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,18.397308349609375 +1976,24,1,internal,18-20 yrs,73,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,29.84452247619629 +1976,24,1,all,21-24 yrs,341,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,114.82486724853516 +1976,24,1,MVA,21-24 yrs,97,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,32.66279220581055 +1976,24,1,suicide,21-24 yrs,36,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,12.122273445129395 +1976,24,1,homicide,21-24 yrs,66,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,22.224166870117188 +1976,24,1,other external,21-24 yrs,59,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,19.8670597076416 +1976,24,1,internal,21-24 yrs,83,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,27.94857406616211 +1977,24,1,MVA,15-17 yrs,76,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,30.082212448120117 +1977,24,1,suicide,15-17 yrs,14,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,5.541460037231445 +1977,24,1,homicide,15-17 yrs,12,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,4.749823093414307 +1977,24,1,other external,15-17 yrs,31,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,12.270376205444336 +1977,24,1,internal,15-17 yrs,44,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.416017532348633 +1977,24,1,all,18-20 yrs,276,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,112.15135192871094 +1977,24,1,MVA,18-20 yrs,93,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,37.790130615234375 +1977,24,1,suicide,18-20 yrs,47,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,19.098237991333008 +1977,24,1,homicide,18-20 yrs,25,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,10.158637046813965 +1977,24,1,other external,18-20 yrs,43,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.472856521606445 +1977,24,1,internal,18-20 yrs,68,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,27.631492614746094 +1977,24,1,all,21-24 yrs,373,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,122.9858169555664 +1977,24,1,MVA,21-24 yrs,104,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,34.290950775146484 +1977,24,1,suicide,21-24 yrs,52,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.145475387573242 +1977,24,1,homicide,21-24 yrs,49,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,16.156314849853516 +1977,24,1,other external,21-24 yrs,64,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,21.10212516784668 +1977,24,1,internal,21-24 yrs,104,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,34.290950775146484 +1978,24,1,MVA,15-17 yrs,80,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,31.883434295654297 +1978,24,1,suicide,15-17 yrs,15,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,5.978143692016602 +1978,24,1,homicide,15-17 yrs,13,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,5.181057929992676 +1978,24,1,other external,15-17 yrs,23,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,9.166487693786621 +1978,24,1,internal,15-17 yrs,38,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,15.144631385803223 +1978,24,1,all,18-20 yrs,285,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,117.08783721923828 +1978,24,1,MVA,18-20 yrs,112,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,46.013465881347656 +1978,24,1,suicide,18-20 yrs,27,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,11.09253215789795 +1978,24,1,homicide,18-20 yrs,37,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,15.20087718963623 +1978,24,1,other external,18-20 yrs,41,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,16.844215393066406 +1978,24,1,internal,18-20 yrs,68,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,27.936748504638672 +1978,24,1,all,21-24 yrs,376,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,121.86031341552734 +1978,24,1,MVA,21-24 yrs,116,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,37.5952033996582 +1978,24,1,suicide,21-24 yrs,63,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,20.4180850982666 +1978,24,1,homicide,21-24 yrs,41,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,13.287960052490234 +1978,24,1,other external,21-24 yrs,58,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,18.7976016998291 +1978,24,1,internal,21-24 yrs,98,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,31.761465072631836 +1979,24,1,MVA,15-17 yrs,56,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,22.62717628479004 +1979,24,1,suicide,15-17 yrs,16,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,6.464907646179199 +1979,24,1,homicide,15-17 yrs,15,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,6.060851097106934 +1979,24,1,other external,15-17 yrs,21,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,8.485191345214844 +1979,24,1,internal,15-17 yrs,39,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,15.758212089538574 +1979,24,1,all,18-20 yrs,243,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,100.8089599609375 +1979,24,1,MVA,18-20 yrs,98,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,40.65546417236328 +1979,24,1,suicide,18-20 yrs,23,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,9.54158878326416 +1979,24,1,homicide,18-20 yrs,36,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,14.934660911560059 +1979,24,1,other external,18-20 yrs,24,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,9.956440925598145 +1979,24,1,internal,18-20 yrs,62,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,25.72080421447754 +1979,24,1,all,21-24 yrs,379,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,121.46073150634766 +1979,24,1,MVA,21-24 yrs,109,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,34.93198013305664 +1979,24,1,suicide,21-24 yrs,57,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,18.267181396484375 +1979,24,1,homicide,21-24 yrs,51,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,16.34432029724121 +1979,24,1,other external,21-24 yrs,60,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,19.228612899780273 +1979,24,1,internal,21-24 yrs,102,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,32.68864059448242 +1980,24,1,MVA,15-17 yrs,73,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,29.811006546020508 +1980,24,1,suicide,15-17 yrs,14,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,5.717179298400879 +1980,24,1,homicide,15-17 yrs,21,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,8.575769424438477 +1980,24,1,other external,15-17 yrs,25,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,10.209248542785645 +1980,24,1,internal,15-17 yrs,47,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,19.193387985229492 +1980,24,1,all,18-20 yrs,281,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,116.9985122680664 +1980,24,1,MVA,18-20 yrs,111,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,46.21649169921875 +1980,24,1,suicide,18-20 yrs,22,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,9.160025596618652 +1980,24,1,homicide,18-20 yrs,41,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,17.07095718383789 +1980,24,1,other external,18-20 yrs,35,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,14.572768211364746 +1980,24,1,internal,18-20 yrs,72,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,29.9782657623291 +1980,24,1,all,21-24 yrs,405,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,129.4318389892578 +1980,24,1,MVA,21-24 yrs,124,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,39.62851333618164 +1980,24,1,suicide,21-24 yrs,49,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,15.65965461730957 +1980,24,1,homicide,21-24 yrs,61,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,19.494672775268555 +1980,24,1,other external,21-24 yrs,41,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,13.10297679901123 +1980,24,1,internal,21-24 yrs,130,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,41.546024322509766 +1981,24,1,MVA,15-17 yrs,59,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,24.752683639526367 +1981,24,1,suicide,15-17 yrs,9,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,3.7758328914642334 +1981,24,1,homicide,15-17 yrs,15,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,6.293055057525635 +1981,24,1,other external,15-17 yrs,24,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,10.068887710571289 +1981,24,1,internal,15-17 yrs,43,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,18.040090560913086 +1981,24,1,all,18-20 yrs,284,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,117.0226821899414 +1981,24,1,MVA,18-20 yrs,110,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,45.325687408447266 +1981,24,1,suicide,18-20 yrs,23,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,9.477189064025879 +1981,24,1,homicide,18-20 yrs,45,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,18.542325973510742 +1981,24,1,other external,18-20 yrs,35,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,14.421809196472168 +1981,24,1,internal,18-20 yrs,71,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,29.25567054748535 +1981,24,1,all,21-24 yrs,401,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,128.1694793701172 +1981,24,1,MVA,21-24 yrs,122,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,38.994205474853516 +1981,24,1,suicide,21-24 yrs,49,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,15.661606788635254 +1981,24,1,homicide,21-24 yrs,65,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,20.77560043334961 +1981,24,1,other external,21-24 yrs,43,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,13.74385929107666 +1981,24,1,internal,21-24 yrs,122,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,38.994205474853516 +1982,24,0.9578590393066406,MVA,15-17 yrs,61,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,26.808591842651367 +1982,24,0.9578590393066406,suicide,15-17 yrs,16,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,7.031761646270752 +1982,24,0.9578590393066406,homicide,15-17 yrs,15,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,6.592276573181152 +1982,24,0.9578590393066406,other external,15-17 yrs,16,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,7.031761646270752 +1982,24,0.9578590393066406,internal,15-17 yrs,45,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,19.77682876586914 +1982,24,0.9578590393066406,all,18-20 yrs,252,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,103.27361297607422 +1982,24,0.9578590393066406,MVA,18-20 yrs,94,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,38.52269744873047 +1982,24,0.9578590393066406,suicide,18-20 yrs,24,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,9.83558177947998 +1982,24,0.9578590393066406,homicide,18-20 yrs,46,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,18.851531982421875 +1982,24,0.9578590393066406,other external,18-20 yrs,33,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,13.523924827575684 +1982,24,0.9578590393066406,internal,18-20 yrs,55,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,22.539875030517578 +1982,24,0.9578590393066406,all,21-24 yrs,381,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,122.77569580078125 +1982,24,0.9578590393066406,MVA,21-24 yrs,100,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,32.22459411621094 +1982,24,0.9578590393066406,suicide,21-24 yrs,55,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,17.723526000976562 +1982,24,0.9578590393066406,homicide,21-24 yrs,66,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,21.268230438232422 +1982,24,0.9578590393066406,other external,21-24 yrs,51,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,16.434541702270508 +1982,24,0.9578590393066406,internal,21-24 yrs,109,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,35.12480545043945 +1983,24,0.6779505610466003,MVA,15-17 yrs,45,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,20.683759689331055 +1983,24,0.6779505610466003,suicide,15-17 yrs,15,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,6.894586563110352 +1983,24,0.6779505610466003,homicide,15-17 yrs,17,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,7.813864707946777 +1983,24,0.6779505610466003,other external,15-17 yrs,9,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,4.136751651763916 +1983,24,0.6779505610466003,internal,15-17 yrs,39,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,17.92592430114746 +1983,24,0.6779505610466003,all,18-20 yrs,220,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,90.316436767578125 +1983,24,0.6779505610466003,MVA,18-20 yrs,71,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,29.1475772857666 +1983,24,0.6779505610466003,suicide,18-20 yrs,28,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,11.494818687438965 +1983,24,0.6779505610466003,homicide,18-20 yrs,31,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,12.726407051086426 +1983,24,0.6779505610466003,other external,18-20 yrs,32,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,13.13693618774414 +1983,24,0.6779505610466003,internal,18-20 yrs,58,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,23.810697555541992 +1983,24,0.6779505610466003,all,21-24 yrs,354,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,113.83991241455078 +1983,24,0.6779505610466003,MVA,21-24 yrs,107,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,34.409236907958984 +1983,24,0.6779505610466003,suicide,21-24 yrs,49,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,15.757501602172852 +1983,24,0.6779505610466003,homicide,21-24 yrs,57,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,18.330154418945312 +1983,24,0.6779505610466003,other external,21-24 yrs,43,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,13.828011512756348 +1983,24,0.6779505610466003,internal,21-24 yrs,98,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,31.515003204345703 +1984,24,0.34814271330833435,MVA,15-17 yrs,48,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,22.546537399291992 +1984,24,0.34814271330833435,suicide,15-17 yrs,12,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,5.636634349822998 +1984,24,0.34814271330833435,homicide,15-17 yrs,17,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,7.985231876373291 +1984,24,0.34814271330833435,other external,15-17 yrs,11,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,5.166914939880371 +1984,24,0.34814271330833435,internal,15-17 yrs,37,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,17.379623413085938 +1984,24,0.34814271330833435,all,18-20 yrs,204,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,86.0643310546875 +1984,24,0.34814271330833435,MVA,18-20 yrs,62,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,26.15680503845215 +1984,24,0.34814271330833435,suicide,18-20 yrs,30,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,12.656518936157227 +1984,24,0.34814271330833435,homicide,18-20 yrs,30,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,12.656518936157227 +1984,24,0.34814271330833435,other external,18-20 yrs,18,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,7.593911170959473 +1984,24,0.34814271330833435,internal,18-20 yrs,64,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,27.000574111938477 +1984,24,0.34814271330833435,all,21-24 yrs,351,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,111.38048553466797 +1984,24,0.34814271330833435,MVA,21-24 yrs,106,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,33.63627243041992 +1984,24,0.34814271330833435,suicide,21-24 yrs,49,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,15.548842430114746 +1984,24,0.34814271330833435,homicide,21-24 yrs,66,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,20.94333839416504 +1984,24,0.34814271330833435,other external,21-24 yrs,28,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,8.885052680969238 +1984,24,0.34814271330833435,internal,21-24 yrs,102,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,32.36697769165039 +1985,24,0.043641477823257446,MVA,15-17 yrs,38,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,18.06487274169922 +1985,24,0.043641477823257446,suicide,15-17 yrs,15,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,7.130870342254639 +1985,24,0.043641477823257446,homicide,15-17 yrs,14,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,6.6554789543151855 +1985,24,0.043641477823257446,other external,15-17 yrs,14,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,6.6554789543151855 +1985,24,0.043641477823257446,internal,15-17 yrs,31,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.73713207244873 +1985,24,0.043641477823257446,all,18-20 yrs,222,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,97.8905029296875 +1985,24,0.043641477823257446,MVA,18-20 yrs,93,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,41.008182525634766 +1985,24,0.043641477823257446,suicide,18-20 yrs,23,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,10.14180850982666 +1985,24,0.043641477823257446,homicide,18-20 yrs,44,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,19.401721954345703 +1985,24,0.043641477823257446,other external,18-20 yrs,28,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,12.346549987792969 +1985,24,0.043641477823257446,internal,18-20 yrs,34,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.992238998413086 +1985,24,0.043641477823257446,all,21-24 yrs,370,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,115.63728332519531 +1985,24,0.043641477823257446,MVA,21-24 yrs,130,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,40.62931823730469 +1985,24,0.043641477823257446,suicide,21-24 yrs,52,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,16.251726150512695 +1985,24,0.043641477823257446,homicide,21-24 yrs,47,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.689061164855957 +1985,24,0.043641477823257446,other external,21-24 yrs,35,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,10.9386625289917 +1985,24,0.043641477823257446,internal,21-24 yrs,106,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,33.12852096557617 +1986,24,0,MVA,15-17 yrs,58,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,27.5150146484375 +1986,24,0,suicide,15-17 yrs,16,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,7.590348720550537 +1986,24,0,homicide,15-17 yrs,18,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,8.539142608642578 +1986,24,0,other external,15-17 yrs,11,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,5.218364715576172 +1986,24,0,internal,15-17 yrs,42,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,19.924665451049805 +1986,24,0,all,18-20 yrs,207,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,94.5827407836914 +1986,24,0,MVA,18-20 yrs,83,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,37.92448043823242 +1986,24,0,suicide,18-20 yrs,26,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,11.87995719909668 +1986,24,0,homicide,18-20 yrs,34,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,15.53532886505127 +1986,24,0,other external,18-20 yrs,17,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,7.767664432525635 +1986,24,0,internal,18-20 yrs,47,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,21.47530746459961 +1986,24,0,all,21-24 yrs,375,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,115.6329574584961 +1986,24,0,MVA,21-24 yrs,130,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,40.08609390258789 +1986,24,0,suicide,21-24 yrs,49,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,15.109373092651367 +1986,24,0,homicide,21-24 yrs,69,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,21.276464462280273 +1986,24,0,other external,21-24 yrs,34,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,10.484054565429688 +1986,24,0,internal,21-24 yrs,93,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,28.676973342895508 +1987,24,0,MVA,15-17 yrs,45,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,21.862489700317383 +1987,24,0,suicide,15-17 yrs,22,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,10.688328742980957 +1987,24,0,homicide,15-17 yrs,15,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,7.287496566772461 +1987,24,0,other external,15-17 yrs,19,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,9.230829238891602 +1987,24,0,internal,15-17 yrs,32,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,15.546659469604492 +1987,24,0,all,18-20 yrs,224,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,104.40213775634766 +1987,24,0,MVA,18-20 yrs,99,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,46.14201354980469 +1987,24,0,suicide,18-20 yrs,22,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,10.25378131866455 +1987,24,0,homicide,18-20 yrs,46,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,21.43972396850586 +1987,24,0,other external,18-20 yrs,20,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,9.321619033813477 +1987,24,0,internal,18-20 yrs,37,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,17.2449951171875 +1987,24,0,all,21-24 yrs,369,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,114.2177963256836 +1987,24,0,MVA,21-24 yrs,111,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,34.35819625854492 +1987,24,0,suicide,21-24 yrs,57,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,17.64339828491211 +1987,24,0,homicide,21-24 yrs,66,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,20.42919921875 +1987,24,0,other external,21-24 yrs,44,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,13.619465827941895 +1987,24,0,internal,21-24 yrs,91,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,28.167531967163086 +1988,24,0,MVA,15-17 yrs,45,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,22.92386245727539 +1988,24,0,suicide,15-17 yrs,18,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,9.16954517364502 +1988,24,0,homicide,15-17 yrs,29,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,14.773155212402344 +1988,24,0,other external,15-17 yrs,10,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,5.094191551208496 +1988,24,0,internal,15-17 yrs,33,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,16.810832977294922 +1988,24,0,all,18-20 yrs,238,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,111.56319427490234 +1988,24,0,MVA,18-20 yrs,81,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,37.96898651123047 +1988,24,0,suicide,18-20 yrs,36,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,16.875104904174805 +1988,24,0,homicide,18-20 yrs,59,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,27.656423568725586 +1988,24,0,other external,18-20 yrs,19,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,8.906305313110352 +1988,24,0,internal,18-20 yrs,43,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,20.156375885009766 +1988,24,0,all,21-24 yrs,366,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,115.32608032226562 +1988,24,0,MVA,21-24 yrs,95,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,29.934364318847656 +1988,24,0,suicide,21-24 yrs,46,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,14.494534492492676 +1988,24,0,homicide,21-24 yrs,63,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,19.85120964050293 +1988,24,0,other external,21-24 yrs,62,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,19.53611183166504 +1988,24,0,internal,21-24 yrs,100,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,31.509857177734375 +1989,24,0,MVA,15-17 yrs,52,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,28.559816360473633 +1989,24,0,suicide,15-17 yrs,13,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,7.139954090118408 +1989,24,0,homicide,15-17 yrs,33,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,18.12449836730957 +1989,24,0,other external,15-17 yrs,15,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,8.238408088684082 +1989,24,0,internal,15-17 yrs,36,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,19.772180557250977 +1989,24,0,all,18-20 yrs,239,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,112.19603729248047 +1989,24,0,MVA,18-20 yrs,72,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,33.799644470214844 +1989,24,0,suicide,18-20 yrs,19,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,8.919350624084473 +1989,24,0,homicide,18-20 yrs,64,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,30.044126510620117 +1989,24,0,other external,18-20 yrs,24,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,11.266548156738281 +1989,24,0,internal,18-20 yrs,60,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,28.16636848449707 +1989,24,0,all,21-24 yrs,358,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,116.630615234375 +1989,24,0,MVA,21-24 yrs,91,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.646329879760742 +1989,24,0,suicide,21-24 yrs,49,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,15.963407516479492 +1989,24,0,homicide,21-24 yrs,90,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.320545196533203 +1989,24,0,other external,21-24 yrs,38,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,12.379785537719727 +1989,24,0,internal,21-24 yrs,90,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.320545196533203 +1990,24,0,MVA,15-17 yrs,41,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,23.339614868164062 +1990,24,0,suicide,15-17 yrs,13,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,7.400365352630615 +1990,24,0,homicide,15-17 yrs,26,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,14.80073070526123 +1990,24,0,other external,15-17 yrs,10,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,5.692588806152344 +1990,24,0,internal,15-17 yrs,38,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,21.631837844848633 +1990,24,0,all,18-20 yrs,258,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,123.90145874023438 +1990,24,0,MVA,18-20 yrs,81,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,38.899295806884766 +1990,24,0,suicide,18-20 yrs,27,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,12.966431617736816 +1990,24,0,homicide,18-20 yrs,95,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,45.62262725830078 +1990,24,0,other external,18-20 yrs,11,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,5.282619953155518 +1990,24,0,internal,18-20 yrs,44,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,21.13047981262207 +1990,24,0,all,21-24 yrs,322,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,108.71583557128906 +1990,24,0,MVA,21-24 yrs,84,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,28.360652923583984 +1990,24,0,suicide,21-24 yrs,31,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,10.466431617736816 +1990,24,0,homicide,21-24 yrs,98,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,33.08742904663086 +1990,24,0,other external,21-24 yrs,23,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,7.765417098999023 +1990,24,0,internal,21-24 yrs,86,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,29.035905838012695 +1991,24,0,MVA,15-17 yrs,42,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,24.23235321044922 +1991,24,0,suicide,15-17 yrs,10,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,5.769608020782471 +1991,24,0,homicide,15-17 yrs,32,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,18.462745666503906 +1991,24,0,other external,15-17 yrs,14,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,8.0774507522583 +1991,24,0,internal,15-17 yrs,20,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,11.539216041564941 +1991,24,0,all,18-20 yrs,216,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,108.80461120605469 +1991,24,0,MVA,18-20 yrs,71,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,35.76447677612305 +1991,24,0,suicide,18-20 yrs,14,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,7.052150726318359 +1991,24,0,homicide,18-20 yrs,73,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,36.77192687988281 +1991,24,0,other external,18-20 yrs,10,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,5.037250518798828 +1991,24,0,internal,18-20 yrs,48,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,24.178802490234375 +1991,24,0,all,21-24 yrs,331,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,115.71524810791016 +1991,24,0,MVA,21-24 yrs,76,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,26.569061279296875 +1991,24,0,suicide,21-24 yrs,43,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,15.03249454498291 +1991,24,0,homicide,21-24 yrs,97,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,33.9105110168457 +1991,24,0,other external,21-24 yrs,20,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,6.991858005523682 +1991,24,0,internal,21-24 yrs,95,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,33.211326599121094 +1992,24,0,MVA,15-17 yrs,45,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,25.56687355041504 +1992,24,0,suicide,15-17 yrs,15,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,8.52229118347168 +1992,24,0,homicide,15-17 yrs,28,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,15.90827751159668 +1992,24,0,other external,15-17 yrs,12,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.817832946777344 +1992,24,0,internal,15-17 yrs,35,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,19.885347366333008 +1992,24,0,all,18-20 yrs,176,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,93.92527770996094 +1992,24,0,MVA,18-20 yrs,43,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,22.94765281677246 +1992,24,0,suicide,18-20 yrs,13,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.937662601470947 +1992,24,0,homicide,18-20 yrs,71,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,37.89030838012695 +1992,24,0,other external,18-20 yrs,12,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.403995990753174 +1992,24,0,internal,18-20 yrs,37,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,19.745655059814453 +1992,24,0,all,21-24 yrs,322,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,115.50699615478516 +1992,24,0,MVA,21-24 yrs,62,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,22.240476608276367 +1992,24,0,suicide,21-24 yrs,31,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,11.120238304138184 +1992,24,0,homicide,21-24 yrs,115,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,41.252498626708984 +1992,24,0,other external,21-24 yrs,28,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,10.044086456298828 +1992,24,0,internal,21-24 yrs,86,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,30.849693298339844 +1993,24,0,MVA,15-17 yrs,28,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,15.618550300598145 +1993,24,0,suicide,15-17 yrs,10,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,5.5780534744262695 +1993,24,0,homicide,15-17 yrs,33,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,18.407577514648438 +1993,24,0,other external,15-17 yrs,18,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,10.040496826171875 +1993,24,0,internal,15-17 yrs,40,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,22.312213897705078 +1993,24,0,all,18-20 yrs,215,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,118.41358947753906 +1993,24,0,MVA,18-20 yrs,53,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,29.190326690673828 +1993,24,0,suicide,18-20 yrs,22,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,12.116739273071289 +1993,24,0,homicide,18-20 yrs,75,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,41.307064056396484 +1993,24,0,other external,18-20 yrs,30,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,16.5228271484375 +1993,24,0,internal,18-20 yrs,35,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,19.276630401611328 +1993,24,0,all,21-24 yrs,361,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,133.4817352294922 +1993,24,0,MVA,21-24 yrs,78,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,28.840927124023438 +1993,24,0,suicide,21-24 yrs,52,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,19.227285385131836 +1993,24,0,homicide,21-24 yrs,114,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,42.15212631225586 +1993,24,0,other external,21-24 yrs,30,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,11.09266471862793 +1993,24,0,internal,21-24 yrs,87,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,32.16872787475586 +1994,24,0,MVA,15-17 yrs,43,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,23.315710067749023 +1994,24,0,suicide,15-17 yrs,12,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,6.506710052490234 +1994,24,0,homicide,15-17 yrs,24,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,13.013420104980469 +1994,24,0,other external,15-17 yrs,7,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,3.7955808639526367 +1994,24,0,internal,15-17 yrs,26,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,14.097871780395508 +1994,24,0,all,18-20 yrs,181,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,101.20608520507812 +1994,24,0,MVA,18-20 yrs,40,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,22.365985870361328 +1994,24,0,suicide,18-20 yrs,20,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,11.182992935180664 +1994,24,0,homicide,18-20 yrs,77,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,43.05452346801758 +1994,24,0,other external,18-20 yrs,13,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,7.268945217132568 +1994,24,0,internal,18-20 yrs,31,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,17.33363914489746 +1994,24,0,all,21-24 yrs,316,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,120.39471435546875 +1994,24,0,MVA,21-24 yrs,51,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,19.4307918548584 +1994,24,0,suicide,21-24 yrs,44,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,16.76382064819336 +1994,24,0,homicide,21-24 yrs,117,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,44.57652282714844 +1994,24,0,other external,21-24 yrs,28,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,10.667885780334473 +1994,24,0,internal,21-24 yrs,76,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,28.955690383911133 +1995,24,0,MVA,15-17 yrs,47,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,24.5998592376709 +1995,24,0,suicide,15-17 yrs,16,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,8.374420166015625 +1995,24,0,homicide,15-17 yrs,48,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,25.123260498046875 +1995,24,0,other external,15-17 yrs,11,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,5.757413864135742 +1995,24,0,internal,15-17 yrs,27,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,14.131834030151367 +1995,24,0,all,18-20 yrs,212,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,117.01587677001953 +1995,24,0,MVA,18-20 yrs,57,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,31.461814880371094 +1995,24,0,suicide,18-20 yrs,20,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,11.039233207702637 +1995,24,0,homicide,18-20 yrs,80,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,44.15693283081055 +1995,24,0,other external,18-20 yrs,16,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,8.83138656616211 +1995,24,0,internal,18-20 yrs,39,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,21.526504516601562 +1995,24,0,all,21-24 yrs,285,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,113.39041137695312 +1995,24,0,MVA,21-24 yrs,57,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,22.678083419799805 +1995,24,0,suicide,21-24 yrs,33,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,13.129416465759277 +1995,24,0,homicide,21-24 yrs,89,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,35.409637451171875 +1995,24,0,other external,21-24 yrs,25,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,9.946527481079102 +1995,24,0,internal,21-24 yrs,81,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,32.226749420166016 +1996,24,0,MVA,15-17 yrs,30,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,15.331466674804688 +1996,24,0,suicide,15-17 yrs,9,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,4.599440097808838 +1996,24,0,homicide,15-17 yrs,48,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,24.530345916748047 +1996,24,0,other external,15-17 yrs,17,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,8.687830924987793 +1996,24,0,internal,15-17 yrs,20,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,10.220977783203125 +1996,24,0,all,18-20 yrs,207,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,112.20728302001953 +1996,24,0,MVA,18-20 yrs,56,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,30.355594635009766 +1996,24,0,suicide,18-20 yrs,16,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,8.673027038574219 +1996,24,0,homicide,18-20 yrs,72,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,39.028621673583984 +1996,24,0,other external,18-20 yrs,26,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,14.093668937683105 +1996,24,0,internal,18-20 yrs,37,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,20.05637550354004 +1996,24,0,all,21-24 yrs,283,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,116.46186065673828 +1996,24,0,MVA,21-24 yrs,56,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,23.04545783996582 +1996,24,0,suicide,21-24 yrs,37,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,15.226462364196777 +1996,24,0,homicide,21-24 yrs,93,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,38.27191925048828 +1996,24,0,other external,21-24 yrs,33,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,13.580358505249023 +1996,24,0,internal,21-24 yrs,64,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,26.337665557861328 +1970,25,0,MVA,15-17 yrs,80,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,25.964752197265625 +1970,25,0,suicide,15-17 yrs,7,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,2.271915912628174 +1970,25,0,homicide,15-17 yrs,6,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,1.9473564624786377 +1970,25,0,other external,15-17 yrs,36,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,11.684139251708984 +1970,25,0,internal,15-17 yrs,71,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,23.043718338012695 +1970,25,0,all,18-20 yrs,298,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,97.515960693359375 +1970,25,0,MVA,18-20 yrs,119,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,38.94093704223633 +1970,25,0,suicide,18-20 yrs,24,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,7.853634357452393 +1970,25,0,homicide,18-20 yrs,16,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,5.2357563972473145 +1970,25,0,other external,18-20 yrs,48,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,15.707268714904785 +1970,25,0,internal,18-20 yrs,91,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,29.778364181518555 +1970,25,0,all,21-24 yrs,384,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,104.97654724121094 +1970,25,0,MVA,21-24 yrs,102,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,27.8843936920166 +1970,25,0,suicide,21-24 yrs,39,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,10.661680221557617 +1970,25,0,homicide,21-24 yrs,29,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,7.927916049957275 +1970,25,0,other external,21-24 yrs,62,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,16.949337005615234 +1970,25,0,internal,21-24 yrs,152,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,41.55321502685547 +1971,25,0,MVA,15-17 yrs,99,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,31.348955154418945 +1971,25,0,suicide,15-17 yrs,9,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,2.849905014038086 +1971,25,0,homicide,15-17 yrs,9,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,2.849905014038086 +1971,25,0,other external,15-17 yrs,37,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,11.716276168823242 +1971,25,0,internal,15-17 yrs,88,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,27.865737915039062 +1971,25,0,all,18-20 yrs,361,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,114.73794555664062 +1971,25,0,MVA,18-20 yrs,138,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,43.86104202270508 +1971,25,0,suicide,18-20 yrs,27,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.58150863647461 +1971,25,0,homicide,18-20 yrs,23,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,7.310173988342285 +1971,25,0,other external,18-20 yrs,50,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,15.891682624816895 +1971,25,0,internal,18-20 yrs,123,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,39.09354019165039 +1971,25,0,all,21-24 yrs,379,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,96.00794219970703 +1971,25,0,MVA,21-24 yrs,110,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,27.865102767944336 +1971,25,0,suicide,21-24 yrs,34,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.612850189208984 +1971,25,0,homicide,21-24 yrs,33,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.359530448913574 +1971,25,0,other external,21-24 yrs,59,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,14.94582748413086 +1971,25,0,internal,21-24 yrs,143,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,36.224632263183594 +1972,25,0,MVA,15-17 yrs,106,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,32.74242401123047 +1972,25,0,suicide,15-17 yrs,6,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,1.8533447980880737 +1972,25,0,homicide,15-17 yrs,10,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,3.0889079570770264 +1972,25,0,other external,15-17 yrs,56,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,17.29788589477539 +1972,25,0,internal,15-17 yrs,102,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,31.50686264038086 +1972,25,0,all,18-20 yrs,356,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,110.7350845336914 +1972,25,0,MVA,18-20 yrs,132,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,41.05907440185547 +1972,25,0,suicide,18-20 yrs,28,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,8.709501266479492 +1972,25,0,homicide,18-20 yrs,14,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,4.354750633239746 +1972,25,0,other external,18-20 yrs,62,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,19.285324096679688 +1972,25,0,internal,18-20 yrs,120,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,37.32643127441406 +1972,25,0,all,21-24 yrs,408,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,104.6475830078125 +1972,25,0,MVA,21-24 yrs,122,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,31.29167938232422 +1972,25,0,suicide,21-24 yrs,50,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,12.824459075927734 +1972,25,0,homicide,21-24 yrs,30,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,7.694675445556641 +1972,25,0,other external,21-24 yrs,58,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,14.876372337341309 +1972,25,0,internal,21-24 yrs,148,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,37.96039962768555 +1973,25,0.8383561372756958,MVA,15-17 yrs,86,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,25.990745544433594 +1973,25,0.8383561372756958,suicide,15-17 yrs,11,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,3.3243978023529053 +1973,25,0.8383561372756958,homicide,15-17 yrs,16,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,4.8354878425598145 +1973,25,0.8383561372756958,other external,15-17 yrs,54,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,16.31977081298828 +1973,25,0.8383561372756958,internal,15-17 yrs,78,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,23.573001861572266 +1973,25,0.8383561372756958,all,18-20 yrs,399,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,121.30387878417969 +1973,25,0.8383561372756958,MVA,18-20 yrs,184,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,55.939632415771484 +1973,25,0.8383561372756958,suicide,18-20 yrs,33,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,10.032651901245117 +1973,25,0.8383561372756958,homicide,18-20 yrs,22,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,6.688434600830078 +1973,25,0.8383561372756958,other external,18-20 yrs,64,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,19.457263946533203 +1973,25,0.8383561372756958,internal,18-20 yrs,96,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,29.185895919799805 +1973,25,0.8383561372756958,all,21-24 yrs,412,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,103.46221923828125 +1973,25,0.8383561372756958,MVA,21-24 yrs,117,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,29.38125991821289 +1973,25,0.8383561372756958,suicide,21-24 yrs,53,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,13.309459686279297 +1973,25,0.8383561372756958,homicide,21-24 yrs,33,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,8.287022590637207 +1973,25,0.8383561372756958,other external,21-24 yrs,62,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,15.569557189941406 +1973,25,0.8383561372756958,internal,21-24 yrs,147,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,36.9149169921875 +1974,25,1,MVA,15-17 yrs,98,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,29.229997634887695 +1974,25,1,suicide,15-17 yrs,11,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,3.2809181213378906 +1974,25,1,homicide,15-17 yrs,8,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,2.386122226715088 +1974,25,1,other external,15-17 yrs,34,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,10.141019821166992 +1974,25,1,internal,15-17 yrs,75,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,22.369895935058594 +1974,25,1,all,18-20 yrs,364,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,108.68331909179688 +1974,25,1,MVA,18-20 yrs,175,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,52.25159454345703 +1974,25,1,suicide,18-20 yrs,25,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,7.464513778686523 +1974,25,1,homicide,18-20 yrs,21,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,6.270191669464111 +1974,25,1,other external,18-20 yrs,56,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,16.720510482788086 +1974,25,1,internal,18-20 yrs,87,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,25.97650718688965 +1974,25,1,all,21-24 yrs,445,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,112.94473266601562 +1974,25,1,MVA,21-24 yrs,142,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,36.04079055786133 +1974,25,1,suicide,21-24 yrs,53,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,13.451845169067383 +1974,25,1,homicide,21-24 yrs,35,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,8.883294105529785 +1974,25,1,other external,21-24 yrs,59,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,14.974695205688477 +1974,25,1,internal,21-24 yrs,156,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,39.59410858154297 +1975,25,1,MVA,15-17 yrs,91,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,27.316417694091797 +1975,25,1,suicide,15-17 yrs,10,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,3.0018041133880615 +1975,25,1,homicide,15-17 yrs,16,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,4.802886486053467 +1975,25,1,other external,15-17 yrs,35,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,10.506314277648926 +1975,25,1,internal,15-17 yrs,64,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,19.211545944213867 +1975,25,1,all,18-20 yrs,328,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,95.86690521240234 +1975,25,1,MVA,18-20 yrs,131,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,38.288307189941406 +1975,25,1,suicide,18-20 yrs,29,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,8.476037979125977 +1975,25,1,homicide,18-20 yrs,23,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,6.72237491607666 +1975,25,1,other external,18-20 yrs,57,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,16.65979766845703 +1975,25,1,internal,18-20 yrs,88,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,25.72039031982422 +1975,25,1,all,21-24 yrs,434,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,108.47993469238281 +1975,25,1,MVA,21-24 yrs,139,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,34.74357223510742 +1975,25,1,suicide,21-24 yrs,57,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,14.247364044189453 +1975,25,1,homicide,21-24 yrs,25,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,6.248844146728516 +1975,25,1,other external,21-24 yrs,71,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,17.74671745300293 +1975,25,1,internal,21-24 yrs,142,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,35.49343490600586 +1976,25,1,MVA,15-17 yrs,89,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,26.760478973388672 +1976,25,1,suicide,15-17 yrs,9,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,2.70611572265625 +1976,25,1,homicide,15-17 yrs,10,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,3.0067954063415527 +1976,25,1,other external,15-17 yrs,36,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,10.824462890625 +1976,25,1,internal,15-17 yrs,63,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,18.94281005859375 +1976,25,1,all,18-20 yrs,331,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,95.0136489868164 +1976,25,1,MVA,18-20 yrs,154,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,44.205745697021484 +1976,25,1,suicide,18-20 yrs,35,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,10.046760559082031 +1976,25,1,homicide,18-20 yrs,20,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,5.741005897521973 +1976,25,1,other external,18-20 yrs,39,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,11.194961547851562 +1976,25,1,internal,18-20 yrs,83,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,23.82517433166504 +1976,25,1,all,21-24 yrs,421,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,103.80529022216797 +1976,25,1,MVA,21-24 yrs,123,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,30.327911376953125 +1976,25,1,suicide,21-24 yrs,62,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,15.287240028381348 +1976,25,1,homicide,21-24 yrs,32,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,7.890188217163086 +1976,25,1,other external,21-24 yrs,66,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,16.273513793945312 +1976,25,1,internal,21-24 yrs,138,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,34.02643585205078 +1977,25,1,MVA,15-17 yrs,89,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,26.91179656982422 +1977,25,1,suicide,15-17 yrs,13,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,3.930936574935913 +1977,25,1,homicide,15-17 yrs,6,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,1.8142783641815186 +1977,25,1,other external,15-17 yrs,27,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,8.164252281188965 +1977,25,1,internal,15-17 yrs,64,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,19.35230255126953 +1977,25,1,all,18-20 yrs,309,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,87.61980438232422 +1977,25,1,MVA,18-20 yrs,131,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,37.14625930786133 +1977,25,1,suicide,18-20 yrs,40,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,11.342369079589844 +1977,25,1,homicide,18-20 yrs,15,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,4.253388404846191 +1977,25,1,other external,18-20 yrs,45,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,12.760165214538574 +1977,25,1,internal,18-20 yrs,78,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,22.11762046813965 +1977,25,1,all,21-24 yrs,378,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,91.65325164794922 +1977,25,1,MVA,21-24 yrs,118,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,28.611331939697266 +1977,25,1,suicide,21-24 yrs,54,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,13.093321800231934 +1977,25,1,homicide,21-24 yrs,24,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,5.819253921508789 +1977,25,1,other external,21-24 yrs,64,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,15.518010139465332 +1977,25,1,internal,21-24 yrs,118,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,28.611331939697266 +1978,25,1,MVA,15-17 yrs,103,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,31.342144012451172 +1978,25,1,suicide,15-17 yrs,13,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,3.9558045864105225 +1978,25,1,homicide,15-17 yrs,9,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,2.738633871078491 +1978,25,1,other external,15-17 yrs,31,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,9.433072090148926 +1978,25,1,internal,15-17 yrs,64,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,19.474729537963867 +1978,25,1,all,18-20 yrs,330,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,93.81689453125 +1978,25,1,MVA,18-20 yrs,154,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,43.781219482421875 +1978,25,1,suicide,18-20 yrs,23,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,6.538753509521484 +1978,25,1,homicide,18-20 yrs,14,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,3.9801108837127686 +1978,25,1,other external,18-20 yrs,56,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,15.920443534851074 +1978,25,1,internal,18-20 yrs,83,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,23.596370697021484 +1978,25,1,all,21-24 yrs,407,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,96.55257415771484 +1978,25,1,MVA,21-24 yrs,155,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,36.77063751220703 +1978,25,1,suicide,21-24 yrs,57,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,13.52210521697998 +1978,25,1,homicide,21-24 yrs,37,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,8.777506828308105 +1978,25,1,other external,21-24 yrs,55,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,13.047645568847656 +1978,25,1,internal,21-24 yrs,103,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,24.434680938720703 +1979,25,0.5246357321739197,MVA,15-17 yrs,98,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,30.257652282714844 +1979,25,0.5246357321739197,suicide,15-17 yrs,10,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,3.0875155925750732 +1979,25,0.5246357321739197,homicide,15-17 yrs,15,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,4.63127326965332 +1979,25,0.5246357321739197,other external,15-17 yrs,29,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,8.953795433044434 +1979,25,0.5246357321739197,internal,15-17 yrs,40,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.350062370300293 +1979,25,0.5246357321739197,all,18-20 yrs,368,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,104.28533172607422 +1979,25,0.5246357321739197,MVA,18-20 yrs,190,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,53.84297180175781 +1979,25,0.5246357321739197,suicide,18-20 yrs,32,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,9.068289756774902 +1979,25,0.5246357321739197,homicide,18-20 yrs,27,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,7.651369571685791 +1979,25,0.5246357321739197,other external,18-20 yrs,43,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.185514450073242 +1979,25,0.5246357321739197,internal,18-20 yrs,76,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,21.537187576293945 +1979,25,0.5246357321739197,all,21-24 yrs,402,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,93.28791046142578 +1979,25,0.5246357321739197,MVA,21-24 yrs,145,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,33.648624420166016 +1979,25,0.5246357321739197,suicide,21-24 yrs,56,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.995330810546875 +1979,25,0.5246357321739197,homicide,21-24 yrs,31,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,7.193843841552734 +1979,25,0.5246357321739197,other external,21-24 yrs,54,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.531211853027344 +1979,25,0.5246357321739197,internal,21-24 yrs,116,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,26.918899536132812 +1980,25,0.3340226113796234,MVA,15-17 yrs,85,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,26.923187255859375 +1980,25,0.3340226113796234,suicide,15-17 yrs,7,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,2.2172036170959473 +1980,25,0.3340226113796234,homicide,15-17 yrs,11,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,3.4841771125793457 +1980,25,0.3340226113796234,other external,15-17 yrs,24,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,7.601840972900391 +1980,25,0.3340226113796234,internal,15-17 yrs,58,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,18.37111473083496 +1980,25,0.3340226113796234,all,18-20 yrs,303,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,87.62822723388672 +1980,25,0.3340226113796234,MVA,18-20 yrs,139,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,40.1990852355957 +1980,25,0.3340226113796234,suicide,18-20 yrs,32,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,9.25446605682373 +1980,25,0.3340226113796234,homicide,18-20 yrs,13,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,3.759626865386963 +1980,25,0.3340226113796234,other external,18-20 yrs,40,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,11.568082809448242 +1980,25,0.3340226113796234,internal,18-20 yrs,79,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,22.84696388244629 +1980,25,0.3340226113796234,all,21-24 yrs,450,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,101.97837829589844 +1980,25,0.3340226113796234,MVA,21-24 yrs,181,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,41.01797103881836 +1980,25,0.3340226113796234,suicide,21-24 yrs,57,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,12.917261123657227 +1980,25,0.3340226113796234,homicide,21-24 yrs,30,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,6.798558712005615 +1980,25,0.3340226113796234,other external,21-24 yrs,68,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,15.410066604614258 +1980,25,0.3340226113796234,internal,21-24 yrs,114,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,25.834522247314453 +1981,25,0.35027989745140076,MVA,15-17 yrs,62,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,20.241857528686523 +1981,25,0.35027989745140076,suicide,15-17 yrs,9,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,2.9383342266082764 +1981,25,0.35027989745140076,homicide,15-17 yrs,13,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,4.244260311126709 +1981,25,0.35027989745140076,other external,15-17 yrs,21,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,6.856112957000732 +1981,25,0.35027989745140076,internal,15-17 yrs,53,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,17.303524017333984 +1981,25,0.35027989745140076,all,18-20 yrs,294,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,86.11927032470703 +1981,25,0.35027989745140076,MVA,18-20 yrs,131,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,38.37287139892578 +1981,25,0.35027989745140076,suicide,18-20 yrs,31,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,9.08060359954834 +1981,25,0.35027989745140076,homicide,18-20 yrs,25,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,7.3230671882629395 +1981,25,0.35027989745140076,other external,18-20 yrs,41,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,12.009830474853516 +1981,25,0.35027989745140076,internal,18-20 yrs,66,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,19.332897186279297 +1981,25,0.35027989745140076,all,21-24 yrs,354,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,78.15604400634766 +1981,25,0.35027989745140076,MVA,21-24 yrs,118,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,26.05201530456543 +1981,25,0.35027989745140076,suicide,21-24 yrs,52,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,11.480548858642578 +1981,25,0.35027989745140076,homicide,21-24 yrs,25,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,5.519495010375977 +1981,25,0.35027989745140076,other external,21-24 yrs,53,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,11.701329231262207 +1981,25,0.35027989745140076,internal,21-24 yrs,106,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,23.402658462524414 +1982,25,0.3477925956249237,MVA,15-17 yrs,80,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,27.263092041015625 +1982,25,0.3477925956249237,suicide,15-17 yrs,7,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,2.3855204582214355 +1982,25,0.3477925956249237,homicide,15-17 yrs,10,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,3.407886505126953 +1982,25,0.3477925956249237,other external,15-17 yrs,23,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,7.838139057159424 +1982,25,0.3477925956249237,internal,15-17 yrs,35,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.927602767944336 +1982,25,0.3477925956249237,all,18-20 yrs,258,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,77.60542297363281 +1982,25,0.3477925956249237,MVA,18-20 yrs,97,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,29.17723274230957 +1982,25,0.3477925956249237,suicide,18-20 yrs,26,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,7.820701599121094 +1982,25,0.3477925956249237,homicide,18-20 yrs,28,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,8.422293663024902 +1982,25,0.3477925956249237,other external,18-20 yrs,31,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,9.324682235717773 +1982,25,0.3477925956249237,internal,18-20 yrs,76,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,22.860511779785156 +1982,25,0.3477925956249237,all,21-24 yrs,339,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,73.5501480102539 +1982,25,0.3477925956249237,MVA,21-24 yrs,112,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,24.299755096435547 +1982,25,0.3477925956249237,suicide,21-24 yrs,53,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.498991012573242 +1982,25,0.3477925956249237,homicide,21-24 yrs,28,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,6.074938774108887 +1982,25,0.3477925956249237,other external,21-24 yrs,53,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.498991012573242 +1982,25,0.3477925956249237,internal,21-24 yrs,93,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,20.177474975585938 +1983,25,0.33995914459228516,MVA,15-17 yrs,64,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,22.655588150024414 +1983,25,0.33995914459228516,suicide,15-17 yrs,18,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,6.371884346008301 +1983,25,0.33995914459228516,homicide,15-17 yrs,7,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,2.4779551029205322 +1983,25,0.33995914459228516,other external,15-17 yrs,24,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,8.495845794677734 +1983,25,0.33995914459228516,internal,15-17 yrs,44,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,15.57571792602539 +1983,25,0.33995914459228516,all,18-20 yrs,256,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,78.29847717285156 +1983,25,0.33995914459228516,MVA,18-20 yrs,99,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,30.279489517211914 +1983,25,0.33995914459228516,suicide,18-20 yrs,34,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,10.399016380310059 +1983,25,0.33995914459228516,homicide,18-20 yrs,18,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,5.505361557006836 +1983,25,0.33995914459228516,other external,18-20 yrs,37,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,11.316576957702637 +1983,25,0.33995914459228516,internal,18-20 yrs,68,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,20.798032760620117 +1983,25,0.33995914459228516,all,21-24 yrs,355,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,76.36248016357422 +1983,25,0.33995914459228516,MVA,21-24 yrs,112,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,24.09182357788086 +1983,25,0.33995914459228516,suicide,21-24 yrs,54,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,11.615700721740723 +1983,25,0.33995914459228516,homicide,21-24 yrs,33,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,7.098484039306641 +1983,25,0.33995914459228516,other external,21-24 yrs,56,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,12.04591178894043 +1983,25,0.33995914459228516,internal,21-24 yrs,100,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,21.510557174682617 +1984,25,0.3471851646900177,MVA,15-17 yrs,64,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,23.208587646484375 +1984,25,0.3471851646900177,suicide,15-17 yrs,9,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,3.2637076377868652 +1984,25,0.3471851646900177,homicide,15-17 yrs,11,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,3.988976001739502 +1984,25,0.3471851646900177,other external,15-17 yrs,17,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.164781093597412 +1984,25,0.3471851646900177,internal,15-17 yrs,45,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,16.318538665771484 +1984,25,0.3471851646900177,all,18-20 yrs,265,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,81.80830383300781 +1984,25,0.3471851646900177,MVA,18-20 yrs,117,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,36.119136810302734 +1984,25,0.3471851646900177,suicide,18-20 yrs,29,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,8.952607154846191 +1984,25,0.3471851646900177,homicide,18-20 yrs,20,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.174211502075195 +1984,25,0.3471851646900177,other external,18-20 yrs,38,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,11.731001853942871 +1984,25,0.3471851646900177,internal,18-20 yrs,61,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,18.831344604492188 +1984,25,0.3471851646900177,all,21-24 yrs,379,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,82.042266845703125 +1984,25,0.3471851646900177,MVA,21-24 yrs,123,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,26.6258544921875 +1984,25,0.3471851646900177,suicide,21-24 yrs,50,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,10.823517799377441 +1984,25,0.3471851646900177,homicide,21-24 yrs,30,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.494111061096191 +1984,25,0.3471851646900177,other external,21-24 yrs,59,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,12.771751403808594 +1984,25,0.3471851646900177,internal,21-24 yrs,117,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,25.3270320892334 +1985,25,0.2885448634624481,MVA,15-17 yrs,68,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,24.978878021240234 +1985,25,0.2885448634624481,suicide,15-17 yrs,22,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,8.081401824951172 +1985,25,0.2885448634624481,homicide,15-17 yrs,8,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,2.9386916160583496 +1985,25,0.2885448634624481,other external,15-17 yrs,11,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,4.040700912475586 +1985,25,0.2885448634624481,internal,15-17 yrs,51,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,18.734159469604492 +1985,25,0.2885448634624481,all,18-20 yrs,250,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,78.77812194824219 +1985,25,0.2885448634624481,MVA,18-20 yrs,103,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,32.45658493041992 +1985,25,0.2885448634624481,suicide,18-20 yrs,32,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,10.083599090576172 +1985,25,0.2885448634624481,homicide,18-20 yrs,16,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,5.041799545288086 +1985,25,0.2885448634624481,other external,18-20 yrs,33,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,10.398712158203125 +1985,25,0.2885448634624481,internal,18-20 yrs,66,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,20.79742431640625 +1985,25,0.2885448634624481,all,21-24 yrs,340,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,74.19287872314453 +1985,25,0.2885448634624481,MVA,21-24 yrs,112,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,24.44000816345215 +1985,25,0.2885448634624481,suicide,21-24 yrs,55,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,12.001789093017578 +1985,25,0.2885448634624481,homicide,21-24 yrs,33,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,7.20107364654541 +1985,25,0.2885448634624481,other external,21-24 yrs,44,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,9.601431846618652 +1985,25,0.2885448634624481,internal,21-24 yrs,96,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,20.948577880859375 +1986,25,0.029816845431923866,MVA,15-17 yrs,79,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,29.26055908203125 +1986,25,0.029816845431923866,suicide,15-17 yrs,16,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,5.926189422607422 +1986,25,0.029816845431923866,homicide,15-17 yrs,11,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,4.074254989624023 +1986,25,0.029816845431923866,other external,15-17 yrs,25,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,9.259671211242676 +1986,25,0.029816845431923866,internal,15-17 yrs,48,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,17.778568267822266 +1986,25,0.029816845431923866,all,18-20 yrs,208,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,67.13597106933594 +1986,25,0.029816845431923866,MVA,18-20 yrs,76,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,24.53045082092285 +1986,25,0.029816845431923866,suicide,18-20 yrs,26,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,8.391996383666992 +1986,25,0.029816845431923866,homicide,18-20 yrs,25,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,8.06922721862793 +1986,25,0.029816845431923866,other external,18-20 yrs,29,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,9.36030387878418 +1986,25,0.029816845431923866,internal,18-20 yrs,52,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,16.783992767333984 +1986,25,0.029816845431923866,all,21-24 yrs,333,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,74.53416442871094 +1986,25,0.029816845431923866,MVA,21-24 yrs,113,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,25.292373657226562 +1986,25,0.029816845431923866,suicide,21-24 yrs,50,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,11.191315650939941 +1986,25,0.029816845431923866,homicide,21-24 yrs,31,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,6.938615798950195 +1986,25,0.029816845431923866,other external,21-24 yrs,34,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,7.6100945472717285 +1986,25,0.029816845431923866,internal,21-24 yrs,105,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,23.50176239013672 +1987,25,0,MVA,15-17 yrs,57,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,21.94426155090332 +1987,25,0,suicide,15-17 yrs,14,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.3898186683654785 +1987,25,0,homicide,15-17 yrs,10,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,3.849870443344116 +1987,25,0,other external,15-17 yrs,15,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.774805545806885 +1987,25,0,internal,15-17 yrs,40,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,15.399481773376465 +1987,25,0,all,18-20 yrs,216,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,70.43791961669922 +1987,25,0,MVA,18-20 yrs,93,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,30.327438354492188 +1987,25,0,suicide,18-20 yrs,31,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,10.109146118164062 +1987,25,0,homicide,18-20 yrs,18,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.869826793670654 +1987,25,0,other external,18-20 yrs,27,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,8.804739952087402 +1987,25,0,internal,18-20 yrs,47,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,15.326769828796387 +1987,25,0,all,21-24 yrs,334,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,76.69873809814453 +1987,25,0,MVA,21-24 yrs,92,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,21.126598358154297 +1987,25,0,suicide,21-24 yrs,56,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,12.859668731689453 +1987,25,0,homicide,21-24 yrs,22,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.052012920379639 +1987,25,0,other external,21-24 yrs,56,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,12.859668731689453 +1987,25,0,internal,21-24 yrs,108,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,24.800790786743164 +1988,25,0,MVA,15-17 yrs,48,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,19.716493606567383 +1988,25,0,suicide,15-17 yrs,13,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,5.339883804321289 +1988,25,0,homicide,15-17 yrs,7,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,2.875321865081787 +1988,25,0,other external,15-17 yrs,12,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,4.929123401641846 +1988,25,0,internal,15-17 yrs,30,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,12.322808265686035 +1988,25,0,all,18-20 yrs,244,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,79.06419372558594 +1988,25,0,MVA,18-20 yrs,92,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,29.81108856201172 +1988,25,0,suicide,18-20 yrs,41,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,13.28537654876709 +1988,25,0,homicide,18-20 yrs,22,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,7.1287384033203125 +1988,25,0,other external,18-20 yrs,40,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,12.961342811584473 +1988,25,0,internal,18-20 yrs,49,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,15.877644538879395 +1988,25,0,all,21-24 yrs,326,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,75.82611846923828 +1988,25,0,MVA,21-24 yrs,87,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,20.23580551147461 +1988,25,0,suicide,21-24 yrs,43,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,10.001605033874512 +1988,25,0,homicide,21-24 yrs,42,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,9.769009590148926 +1988,25,0,other external,21-24 yrs,44,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,10.234200477600098 +1988,25,0,internal,21-24 yrs,110,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,25.585500717163086 +1989,25,0,MVA,15-17 yrs,43,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,19.131772994995117 +1989,25,0,suicide,15-17 yrs,10,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,4.449249744415283 +1989,25,0,homicide,15-17 yrs,15,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.673874378204346 +1989,25,0,other external,15-17 yrs,15,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.673874378204346 +1989,25,0,internal,15-17 yrs,33,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,14.682523727416992 +1989,25,0,all,18-20 yrs,223,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,71.68389892578125 +1989,25,0,MVA,18-20 yrs,90,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,28.930721282958984 +1989,25,0,suicide,18-20 yrs,30,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.643573760986328 +1989,25,0,homicide,18-20 yrs,20,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.429049015045166 +1989,25,0,other external,18-20 yrs,19,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.107596397399902 +1989,25,0,internal,18-20 yrs,64,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,20.572956085205078 +1989,25,0,all,21-24 yrs,321,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,76.57991027832031 +1989,25,0,MVA,21-24 yrs,86,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,20.516735076904297 +1989,25,0,suicide,21-24 yrs,39,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.30410099029541 +1989,25,0,homicide,21-24 yrs,34,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,8.11126708984375 +1989,25,0,other external,21-24 yrs,41,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.7812347412109375 +1989,25,0,internal,21-24 yrs,121,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,28.86656951904297 +1990,25,0,MVA,15-17 yrs,45,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,21.144033432006836 +1990,25,0,suicide,15-17 yrs,7,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,3.289071798324585 +1990,25,0,homicide,15-17 yrs,20,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,9.397348403930664 +1990,25,0,other external,15-17 yrs,9,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,4.228806495666504 +1990,25,0,internal,15-17 yrs,42,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,19.73443031311035 +1990,25,0,all,18-20 yrs,205,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,68.13211822509766 +1990,25,0,MVA,18-20 yrs,77,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,25.591087341308594 +1990,25,0,suicide,18-20 yrs,26,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,8.641146659851074 +1990,25,0,homicide,18-20 yrs,40,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,13.294071197509766 +1990,25,0,other external,18-20 yrs,18,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,5.982332229614258 +1990,25,0,internal,18-20 yrs,44,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,14.623478889465332 +1990,25,0,all,21-24 yrs,281,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,68.65128326416016 +1990,25,0,MVA,21-24 yrs,75,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,18.32329559326172 +1990,25,0,suicide,21-24 yrs,46,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,11.238287925720215 +1990,25,0,homicide,21-24 yrs,42,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,10.261045455932617 +1990,25,0,other external,21-24 yrs,37,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,9.0394926071167 +1990,25,0,internal,21-24 yrs,81,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,19.789159774780273 +1991,25,0,MVA,15-17 yrs,28,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.581552505493164 +1991,25,0,suicide,15-17 yrs,9,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,4.365499019622803 +1991,25,0,homicide,15-17 yrs,17,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,8.245942115783691 +1991,25,0,other external,15-17 yrs,8,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,3.880443572998047 +1991,25,0,internal,15-17 yrs,25,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,12.126385688781738 +1991,25,0,all,18-20 yrs,188,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,70.42411804199219 +1991,25,0,MVA,18-20 yrs,73,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,27.345535278320312 +1991,25,0,suicide,18-20 yrs,26,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,9.739505767822266 +1991,25,0,homicide,18-20 yrs,37,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.860065460205078 +1991,25,0,other external,18-20 yrs,15,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,5.618945598602295 +1991,25,0,internal,18-20 yrs,37,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.860065460205078 +1991,25,0,all,21-24 yrs,281,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,70.10646057128906 +1991,25,0,MVA,21-24 yrs,68,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,16.96526336669922 +1991,25,0,suicide,21-24 yrs,32,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,7.983653545379639 +1991,25,0,homicide,21-24 yrs,45,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,11.227012634277344 +1991,25,0,other external,21-24 yrs,33,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,8.233142852783203 +1991,25,0,internal,21-24 yrs,103,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,25.697383880615234 +1992,25,0,MVA,15-17 yrs,31,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,15.154255867004395 +1992,25,0,suicide,15-17 yrs,10,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,4.888469696044922 +1992,25,0,homicide,15-17 yrs,15,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,7.332704544067383 +1992,25,0,other external,15-17 yrs,7,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,3.421928644180298 +1992,25,0,internal,15-17 yrs,30,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,14.665409088134766 +1992,25,0,all,18-20 yrs,119,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,50.84905242919922 +1992,25,0,MVA,18-20 yrs,36,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,15.382905960083008 +1992,25,0,suicide,18-20 yrs,16,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,6.836847305297852 +1992,25,0,homicide,18-20 yrs,28,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,11.964482307434082 +1992,25,0,other external,18-20 yrs,11,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,4.7003326416015625 +1992,25,0,internal,18-20 yrs,28,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,11.964482307434082 +1992,25,0,all,21-24 yrs,258,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,64.94160461425781 +1992,25,0,MVA,21-24 yrs,58,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,14.599274635314941 +1992,25,0,suicide,21-24 yrs,54,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,13.592428207397461 +1992,25,0,homicide,21-24 yrs,41,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,10.32017707824707 +1992,25,0,other external,21-24 yrs,32,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,8.05477237701416 +1992,25,0,internal,21-24 yrs,73,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,18.374950408935547 +1993,25,0,MVA,15-17 yrs,29,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,14.104921340942383 +1993,25,0,suicide,15-17 yrs,8,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,3.891012668609619 +1993,25,0,homicide,15-17 yrs,20,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.727531433105469 +1993,25,0,other external,15-17 yrs,15,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.29564905166626 +1993,25,0,internal,15-17 yrs,34,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,16.53680419921875 +1993,25,0,all,18-20 yrs,141,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,65.25089263916016 +1993,25,0,MVA,18-20 yrs,42,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,19.43643569946289 +1993,25,0,suicide,18-20 yrs,23,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.643762588500977 +1993,25,0,homicide,18-20 yrs,24,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,11.106534957885742 +1993,25,0,other external,18-20 yrs,15,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,6.94158411026001 +1993,25,0,internal,18-20 yrs,37,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,17.122573852539062 +1993,25,0,all,21-24 yrs,210,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,54.79151916503906 +1993,25,0,MVA,21-24 yrs,51,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,13.306511878967285 +1993,25,0,suicide,21-24 yrs,28,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.305535793304443 +1993,25,0,homicide,21-24 yrs,33,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,8.610095977783203 +1993,25,0,other external,21-24 yrs,40,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.436479568481445 +1993,25,0,internal,21-24 yrs,58,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.132895469665527 +1994,25,0,MVA,15-17 yrs,26,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,12.328001022338867 +1994,25,0,suicide,15-17 yrs,12,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,5.689846515655518 +1994,25,0,homicide,15-17 yrs,19,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.008923530578613 +1994,25,0,other external,15-17 yrs,11,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,5.215692520141602 +1994,25,0,internal,15-17 yrs,32,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.172924041748047 +1994,25,0,all,18-20 yrs,138,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,65.63365173339844 +1994,25,0,MVA,18-20 yrs,40,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,19.024246215820312 +1994,25,0,suicide,18-20 yrs,19,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.036517143249512 +1994,25,0,homicide,18-20 yrs,33,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.695003509521484 +1994,25,0,other external,18-20 yrs,16,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.60969877243042 +1994,25,0,internal,18-20 yrs,30,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,14.268184661865234 +1994,25,0,all,21-24 yrs,238,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,66.650238037109375 +1994,25,0,MVA,21-24 yrs,49,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,13.722107887268066 +1994,25,0,suicide,21-24 yrs,34,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.521462440490723 +1994,25,0,homicide,21-24 yrs,38,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.641634941101074 +1994,25,0,other external,21-24 yrs,32,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,8.961376190185547 +1994,25,0,internal,21-24 yrs,85,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,23.80365562438965 +1995,25,0,MVA,15-17 yrs,31,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,14.295991897583008 +1995,25,0,suicide,15-17 yrs,13,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,5.99509334564209 +1995,25,0,homicide,15-17 yrs,16,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,7.378576278686523 +1995,25,0,other external,15-17 yrs,6,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,2.7669661045074463 +1995,25,0,internal,15-17 yrs,35,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,16.140636444091797 +1995,25,0,all,18-20 yrs,128,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,60.69831466674805 +1995,25,0,MVA,18-20 yrs,24,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,11.38093376159668 +1995,25,0,suicide,18-20 yrs,21,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,9.958317756652832 +1995,25,0,homicide,18-20 yrs,27,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,12.803550720214844 +1995,25,0,other external,18-20 yrs,17,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,8.061494827270508 +1995,25,0,internal,18-20 yrs,39,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,18.4940185546875 +1995,25,0,all,21-24 yrs,223,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,68.04527282714844 +1995,25,0,MVA,21-24 yrs,45,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,13.731108665466309 +1995,25,0,suicide,21-24 yrs,39,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,11.900294303894043 +1995,25,0,homicide,21-24 yrs,30,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,9.154071807861328 +1995,25,0,other external,21-24 yrs,26,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,7.933529376983643 +1995,25,0,internal,21-24 yrs,83,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,25.32626724243164 +1996,25,0,MVA,15-17 yrs,23,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,10.356534957885742 +1996,25,0,suicide,15-17 yrs,12,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,5.403409481048584 +1996,25,0,homicide,15-17 yrs,10,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,4.502841472625732 +1996,25,0,other external,15-17 yrs,8,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,3.6022729873657227 +1996,25,0,internal,15-17 yrs,30,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,13.508523941040039 +1996,25,0,all,18-20 yrs,168,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,79.25874328613281 +1996,25,0,MVA,18-20 yrs,49,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,23.11713218688965 +1996,25,0,suicide,18-20 yrs,23,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,10.850898742675781 +1996,25,0,homicide,18-20 yrs,34,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,16.04046058654785 +1996,25,0,other external,18-20 yrs,20,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,9.435564994812012 +1996,25,0,internal,18-20 yrs,42,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,19.814685821533203 +1996,25,0,all,21-24 yrs,179,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,59.83460235595703 +1996,25,0,MVA,21-24 yrs,41,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,13.705132484436035 +1996,25,0,suicide,21-24 yrs,21,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,7.019701957702637 +1996,25,0,homicide,21-24 yrs,27,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,9.025331497192383 +1996,25,0,other external,21-24 yrs,20,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,6.685430526733398 +1996,25,0,internal,21-24 yrs,70,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,23.399005889892578 +1970,26,0,MVA,15-17 yrs,160,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,29.38335418701172 +1970,26,0,suicide,15-17 yrs,30,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,5.509378910064697 +1970,26,0,homicide,15-17 yrs,35,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,6.427608489990234 +1970,26,0,other external,15-17 yrs,89,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,16.34449005126953 +1970,26,0,internal,15-17 yrs,122,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,22.404808044433594 +1970,26,0,all,18-20 yrs,635,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,133.23876953125 +1970,26,0,MVA,18-20 yrs,230,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,48.25971221923828 +1970,26,0,suicide,18-20 yrs,46,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,9.651942253112793 +1970,26,0,homicide,18-20 yrs,100,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,20.98248291015625 +1970,26,0,other external,18-20 yrs,79,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,16.576162338256836 +1970,26,0,internal,18-20 yrs,180,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,37.768470764160156 +1970,26,0,all,21-24 yrs,834,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,149.976806640625 +1970,26,0,MVA,21-24 yrs,290,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,52.15020751953125 +1970,26,0,suicide,21-24 yrs,73,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,13.127466201782227 +1970,26,0,homicide,21-24 yrs,106,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,19.061800003051758 +1970,26,0,other external,21-24 yrs,101,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,18.16265869140625 +1970,26,0,internal,21-24 yrs,264,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,47.47467041015625 +1971,26,0,MVA,15-17 yrs,189,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,33.866111755371094 +1971,26,0,suicide,15-17 yrs,24,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,4.300458908081055 +1971,26,0,homicide,15-17 yrs,55,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,9.855217933654785 +1971,26,0,other external,15-17 yrs,89,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,15.947534561157227 +1971,26,0,internal,15-17 yrs,155,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,27.77379608154297 +1971,26,0,all,18-20 yrs,657,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,130.5750274658203 +1971,26,0,MVA,18-20 yrs,249,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,49.48733901977539 +1971,26,0,suicide,18-20 yrs,45,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,8.94349479675293 +1971,26,0,homicide,18-20 yrs,100,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,19.874433517456055 +1971,26,0,other external,18-20 yrs,83,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,16.495779037475586 +1971,26,0,internal,18-20 yrs,180,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,35.77397918701172 +1971,26,0,all,21-24 yrs,923,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,151.91015625 +1971,26,0,MVA,21-24 yrs,289,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,47.56449890136719 +1971,26,0,suicide,21-24 yrs,93,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,15.306222915649414 +1971,26,0,homicide,21-24 yrs,153,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,25.18120574951172 +1971,26,0,other external,21-24 yrs,103,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,16.95205307006836 +1971,26,0,internal,21-24 yrs,285,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,46.906166076660156 +1972,26,1,MVA,15-17 yrs,188,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,32.93877029418945 +1972,26,1,suicide,15-17 yrs,38,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,6.657836437225342 +1972,26,1,homicide,15-17 yrs,46,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,8.059486389160156 +1972,26,1,other external,15-17 yrs,106,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,18.57185935974121 +1972,26,1,internal,15-17 yrs,90,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,15.768559455871582 +1972,26,1,all,18-20 yrs,798,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,153.37689208984375 +1972,26,1,MVA,18-20 yrs,336,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,64.579742431640625 +1972,26,1,suicide,18-20 yrs,60,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,11.532096862792969 +1972,26,1,homicide,18-20 yrs,86,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,16.529338836669922 +1972,26,1,other external,18-20 yrs,96,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,18.45135498046875 +1972,26,1,internal,18-20 yrs,220,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,42.28435516357422 +1972,26,1,all,21-24 yrs,986,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,161.74514770507812 +1972,26,1,MVA,21-24 yrs,260,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,42.650848388671875 +1972,26,1,suicide,21-24 yrs,104,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,17.060338973999023 +1972,26,1,homicide,21-24 yrs,208,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,34.12067794799805 +1972,26,1,other external,21-24 yrs,136,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,22.309675216674805 +1972,26,1,internal,21-24 yrs,278,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,45.603599548339844 +1973,26,1,MVA,15-17 yrs,186,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,31.994054794311523 +1973,26,1,suicide,15-17 yrs,33,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,5.676364421844482 +1973,26,1,homicide,15-17 yrs,39,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,6.708430767059326 +1973,26,1,other external,15-17 yrs,116,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,19.95328140258789 +1973,26,1,internal,15-17 yrs,142,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,24.425569534301758 +1973,26,1,all,18-20 yrs,826,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,155.31834411621094 +1973,26,1,MVA,18-20 yrs,289,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,54.342613220214844 +1973,26,1,suicide,18-20 yrs,70,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,13.16257095336914 +1973,26,1,homicide,18-20 yrs,106,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,19.93189239501953 +1973,26,1,other external,18-20 yrs,144,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,27.077289581298828 +1973,26,1,internal,18-20 yrs,217,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,40.80397033691406 +1973,26,1,all,21-24 yrs,963,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,154.45835876464844 +1973,26,1,MVA,21-24 yrs,262,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,42.0229377746582 +1973,26,1,suicide,21-24 yrs,118,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,18.926361083984375 +1973,26,1,homicide,21-24 yrs,180,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,28.8707218170166 +1973,26,1,other external,21-24 yrs,154,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,24.70050621032715 +1973,26,1,internal,21-24 yrs,249,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,39.93783187866211 +1974,26,1,MVA,15-17 yrs,217,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,37.02888488769531 +1974,26,1,suicide,15-17 yrs,42,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,7.1668806076049805 +1974,26,1,homicide,15-17 yrs,46,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,7.849441051483154 +1974,26,1,other external,15-17 yrs,107,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,18.258481979370117 +1974,26,1,internal,15-17 yrs,103,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,17.5759220123291 +1974,26,1,all,18-20 yrs,766,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,140.87693786621094 +1974,26,1,MVA,18-20 yrs,267,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,49.10462188720703 +1974,26,1,suicide,18-20 yrs,69,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,12.689958572387695 +1974,26,1,homicide,18-20 yrs,130,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,23.90861701965332 +1974,26,1,other external,18-20 yrs,135,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,24.82818031311035 +1974,26,1,internal,18-20 yrs,165,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,30.345552444458008 +1974,26,1,all,21-24 yrs,977,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,153.15711975097656 +1974,26,1,MVA,21-24 yrs,228,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,35.741886138916016 +1974,26,1,suicide,21-24 yrs,111,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,17.40065574645996 +1974,26,1,homicide,21-24 yrs,209,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,32.763397216796875 +1974,26,1,other external,21-24 yrs,146,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,22.887348175048828 +1974,26,1,internal,21-24 yrs,283,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,44.363834381103516 +1975,26,1,MVA,15-17 yrs,177,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,30.667192459106445 +1975,26,1,suicide,15-17 yrs,40,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,6.930438995361328 +1975,26,1,homicide,15-17 yrs,62,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,10.742180824279785 +1975,26,1,other external,15-17 yrs,98,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,16.979576110839844 +1975,26,1,internal,15-17 yrs,115,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,19.925012588500977 +1975,26,1,all,18-20 yrs,764,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,138.0309600830078 +1975,26,1,MVA,18-20 yrs,282,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,50.94860076904297 +1975,26,1,suicide,18-20 yrs,74,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,13.369491577148438 +1975,26,1,homicide,18-20 yrs,89,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,16.07952308654785 +1975,26,1,other external,18-20 yrs,132,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,23.848281860351562 +1975,26,1,internal,18-20 yrs,187,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,33.785064697265625 +1975,26,1,all,21-24 yrs,1072,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,163.3984375 +1975,26,1,MVA,21-24 yrs,265,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,40.392337799072266 +1975,26,1,suicide,21-24 yrs,125,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,19.052989959716797 +1975,26,1,homicide,21-24 yrs,199,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,30.332361221313477 +1975,26,1,other external,21-24 yrs,154,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,23.473283767700195 +1975,26,1,internal,21-24 yrs,329,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,50.14746856689453 +1976,26,1,MVA,15-17 yrs,195,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,34.11327362060547 +1976,26,1,suicide,15-17 yrs,36,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,6.297835350036621 +1976,26,1,homicide,15-17 yrs,52,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,9.09687328338623 +1976,26,1,other external,15-17 yrs,65,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,11.37109088897705 +1976,26,1,internal,15-17 yrs,97,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,16.969167709350586 +1976,26,1,all,18-20 yrs,737,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,131.35943603515625 +1976,26,1,MVA,18-20 yrs,295,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,52.57942199707031 +1976,26,1,suicide,18-20 yrs,83,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,14.793532371520996 +1976,26,1,homicide,18-20 yrs,94,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,16.754119873046875 +1976,26,1,other external,18-20 yrs,113,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,20.140592575073242 +1976,26,1,internal,18-20 yrs,152,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,27.09177017211914 +1976,26,1,all,21-24 yrs,983,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,146.78652954101562 +1976,26,1,MVA,21-24 yrs,274,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,40.91506576538086 +1976,26,1,suicide,21-24 yrs,145,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,21.652132034301758 +1976,26,1,homicide,21-24 yrs,175,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,26.13188362121582 +1976,26,1,other external,21-24 yrs,124,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,18.516305923461914 +1976,26,1,internal,21-24 yrs,265,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,39.57114028930664 +1977,26,1,MVA,15-17 yrs,197,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,34.84185028076172 +1977,26,1,suicide,15-17 yrs,50,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,8.843109130859375 +1977,26,1,homicide,15-17 yrs,33,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,5.836452007293701 +1977,26,1,other external,15-17 yrs,71,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,12.557214736938477 +1977,26,1,internal,15-17 yrs,94,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,16.625045776367188 +1977,26,1,all,18-20 yrs,713,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,126.24004364013672 +1977,26,1,MVA,18-20 yrs,323,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,57.188690185546875 +1977,26,1,suicide,18-20 yrs,78,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,13.810271263122559 +1977,26,1,homicide,18-20 yrs,91,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,16.111984252929688 +1977,26,1,other external,18-20 yrs,87,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,15.403764724731445 +1977,26,1,internal,18-20 yrs,134,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,23.725337982177734 +1977,26,1,all,21-24 yrs,844,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,123.7652816772461 +1977,26,1,MVA,21-24 yrs,244,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,35.78048324584961 +1977,26,1,suicide,21-24 yrs,128,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,18.770090103149414 +1977,26,1,homicide,21-24 yrs,140,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,20.52978515625 +1977,26,1,other external,21-24 yrs,123,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,18.036882400512695 +1977,26,1,internal,21-24 yrs,209,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,30.64803695678711 +1978,26,0.9698629975318909,MVA,15-17 yrs,184,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,32.87181854248047 +1978,26,0.9698629975318909,suicide,15-17 yrs,37,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,6.610093593597412 +1978,26,0.9698629975318909,homicide,15-17 yrs,50,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,8.9325590133667 +1978,26,0.9698629975318909,other external,15-17 yrs,69,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,12.326931953430176 +1978,26,0.9698629975318909,internal,15-17 yrs,107,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.115676879882812 +1978,26,0.9698629975318909,all,18-20 yrs,674,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,120.83811950683594 +1978,26,0.9698629975318909,MVA,18-20 yrs,269,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,48.22767639160156 +1978,26,0.9698629975318909,suicide,18-20 yrs,86,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,15.418514251708984 +1978,26,0.9698629975318909,homicide,18-20 yrs,71,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,12.729238510131836 +1978,26,0.9698629975318909,other external,18-20 yrs,101,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,18.107789993286133 +1978,26,0.9698629975318909,internal,18-20 yrs,147,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,26.354902267456055 +1978,26,0.9698629975318909,all,21-24 yrs,911,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,130.48529052734375 +1978,26,0.9698629975318909,MVA,21-24 yrs,294,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,42.110511779785156 +1978,26,0.9698629975318909,suicide,21-24 yrs,138,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.766157150268555 +1978,26,0.9698629975318909,homicide,21-24 yrs,137,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.6229248046875 +1978,26,0.9698629975318909,other external,21-24 yrs,111,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,15.898865699768066 +1978,26,0.9698629975318909,internal,21-24 yrs,231,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,33.086830139160156 +1979,26,0,MVA,15-17 yrs,184,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,33.48626708984375 +1979,26,0,suicide,15-17 yrs,40,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,7.279623031616211 +1979,26,0,homicide,15-17 yrs,41,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,7.461613655090332 +1979,26,0,other external,15-17 yrs,55,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,10.009481430053711 +1979,26,0,internal,15-17 yrs,106,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,19.291000366210938 +1979,26,0,all,18-20 yrs,570,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,102.87397766113281 +1979,26,0,MVA,18-20 yrs,241,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,43.4958381652832 +1979,26,0,suicide,18-20 yrs,71,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,12.814126968383789 +1979,26,0,homicide,18-20 yrs,63,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,11.370281219482422 +1979,26,0,other external,18-20 yrs,88,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,15.88229751586914 +1979,26,0,internal,18-20 yrs,107,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,19.311429977416992 +1979,26,0,all,21-24 yrs,840,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,118.29719543457031 +1979,26,0,MVA,21-24 yrs,250,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,35.20750045776367 +1979,26,0,suicide,21-24 yrs,143,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,20.138689041137695 +1979,26,0,homicide,21-24 yrs,131,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,18.448728561401367 +1979,26,0,other external,21-24 yrs,112,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,15.77295970916748 +1979,26,0,internal,21-24 yrs,204,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,28.729318618774414 +1980,26,0,MVA,15-17 yrs,162,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,30.337305068969727 +1980,26,0,suicide,15-17 yrs,33,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,6.179821491241455 +1980,26,0,homicide,15-17 yrs,34,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,6.367088794708252 +1980,26,0,other external,15-17 yrs,58,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,10.861504554748535 +1980,26,0,internal,15-17 yrs,85,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,15.917722702026367 +1980,26,0,all,18-20 yrs,535,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,98.441497802734375 +1980,26,0,MVA,18-20 yrs,213,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,39.192596435546875 +1980,26,0,suicide,18-20 yrs,64,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,11.776179313659668 +1980,26,0,homicide,18-20 yrs,78,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,14.352218627929688 +1980,26,0,other external,18-20 yrs,65,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,11.960182189941406 +1980,26,0,internal,18-20 yrs,115,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,21.160322189331055 +1980,26,0,all,21-24 yrs,859,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,120.87372589111328 +1980,26,0,MVA,21-24 yrs,280,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,39.40005111694336 +1980,26,0,suicide,21-24 yrs,109,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,15.337876319885254 +1980,26,0,homicide,21-24 yrs,161,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,22.655029296875 +1980,26,0,other external,21-24 yrs,102,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,14.352875709533691 +1980,26,0,internal,21-24 yrs,207,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,29.127893447875977 +1981,26,0,MVA,15-17 yrs,118,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,23.049396514892578 +1981,26,0,suicide,15-17 yrs,27,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,5.274014472961426 +1981,26,0,homicide,15-17 yrs,31,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,6.055349826812744 +1981,26,0,other external,15-17 yrs,40,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,7.8133544921875 +1981,26,0,internal,15-17 yrs,67,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,13.087368965148926 +1981,26,0,all,18-20 yrs,480,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,90.4540786743164 +1981,26,0,MVA,18-20 yrs,174,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,32.78960418701172 +1981,26,0,suicide,18-20 yrs,63,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,11.872097969055176 +1981,26,0,homicide,18-20 yrs,76,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,14.321895599365234 +1981,26,0,other external,18-20 yrs,51,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,9.610746383666992 +1981,26,0,internal,18-20 yrs,116,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,21.8597354888916 +1981,26,0,all,21-24 yrs,725,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,103.40818786621094 +1981,26,0,MVA,21-24 yrs,217,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,30.951141357421875 +1981,26,0,suicide,21-24 yrs,116,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,16.545310974121094 +1981,26,0,homicide,21-24 yrs,113,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,16.117414474487305 +1981,26,0,other external,21-24 yrs,84,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,11.981086730957031 +1981,26,0,internal,21-24 yrs,195,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,27.8132381439209 +1982,26,0,MVA,15-17 yrs,94,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,19.386600494384766 +1982,26,0,suicide,15-17 yrs,24,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,4.949769973754883 +1982,26,0,homicide,15-17 yrs,35,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,7.218414783477783 +1982,26,0,other external,15-17 yrs,35,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,7.218414783477783 +1982,26,0,internal,15-17 yrs,77,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,15.880512237548828 +1982,26,0,all,18-20 yrs,497,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,96.4073257446289 +1982,26,0,MVA,18-20 yrs,188,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,36.467960357666016 +1982,26,0,suicide,18-20 yrs,80,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,15.518281936645508 +1982,26,0,homicide,18-20 yrs,57,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,11.05677604675293 +1982,26,0,other external,18-20 yrs,67,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,12.996561050415039 +1982,26,0,internal,18-20 yrs,105,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,20.36774444580078 +1982,26,0,all,21-24 yrs,656,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,95.96269226074219 +1982,26,0,MVA,21-24 yrs,171,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,25.014665603637695 +1982,26,0,suicide,21-24 yrs,99,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,14.48217487335205 +1982,26,0,homicide,21-24 yrs,125,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,18.285573959350586 +1982,26,0,other external,21-24 yrs,74,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,10.82505989074707 +1982,26,0,internal,21-24 yrs,187,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,27.3552188873291 +1983,26,0,MVA,15-17 yrs,111,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,23.919321060180664 +1983,26,0,suicide,15-17 yrs,36,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,7.757617473602295 +1983,26,0,homicide,15-17 yrs,48,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,10.343489646911621 +1983,26,0,other external,15-17 yrs,34,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,7.326638698577881 +1983,26,0,internal,15-17 yrs,74,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,15.946213722229004 +1983,26,0,all,18-20 yrs,476,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,95.50044250488281 +1983,26,0,MVA,18-20 yrs,169,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,33.90666961669922 +1983,26,0,suicide,18-20 yrs,51,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,10.232190132141113 +1983,26,0,homicide,18-20 yrs,85,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,17.05364990234375 +1983,26,0,other external,18-20 yrs,67,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,13.442289352416992 +1983,26,0,internal,18-20 yrs,104,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,20.865642547607422 +1983,26,0,all,21-24 yrs,683,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,102.70445251464844 +1983,26,0,MVA,21-24 yrs,187,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,28.119667053222656 +1983,26,0,suicide,21-24 yrs,123,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,18.49582290649414 +1983,26,0,homicide,21-24 yrs,122,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,18.34545135498047 +1983,26,0,other external,21-24 yrs,78,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,11.729059219360352 +1983,26,0,internal,21-24 yrs,173,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,26.014450073242188 +1984,26,0,MVA,15-17 yrs,121,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,26.480501174926758 +1984,26,0,suicide,15-17 yrs,40,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,8.753884315490723 +1984,26,0,homicide,15-17 yrs,33,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,7.221954822540283 +1984,26,0,other external,15-17 yrs,35,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,7.659648895263672 +1984,26,0,internal,15-17 yrs,66,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,14.443909645080566 +1984,26,0,all,18-20 yrs,468,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,97.33655548095703 +1984,26,0,MVA,18-20 yrs,176,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,36.605201721191406 +1984,26,0,suicide,18-20 yrs,60,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,12.479045867919922 +1984,26,0,homicide,18-20 yrs,87,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,18.094615936279297 +1984,26,0,other external,18-20 yrs,41,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,8.527347564697266 +1984,26,0,internal,18-20 yrs,104,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,21.630346298217773 +1984,26,0,all,21-24 yrs,676,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,103.59026336669922 +1984,26,0,MVA,21-24 yrs,197,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,30.18828582763672 +1984,26,0,suicide,21-24 yrs,109,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,16.703163146972656 +1984,26,0,homicide,21-24 yrs,125,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,19.155004501342773 +1984,26,0,other external,21-24 yrs,70,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,10.726801872253418 +1984,26,0,internal,21-24 yrs,175,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,26.817005157470703 +1985,26,0,MVA,15-17 yrs,108,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,23.58284568786621 +1985,26,0,suicide,15-17 yrs,40,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,8.734387397766113 +1985,26,0,homicide,15-17 yrs,58,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,12.664861679077148 +1985,26,0,other external,15-17 yrs,42,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,9.171106338500977 +1985,26,0,internal,15-17 yrs,81,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,17.6871337890625 +1985,26,0,all,18-20 yrs,475,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,102.78448486328125 +1985,26,0,MVA,18-20 yrs,173,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,37.4351921081543 +1985,26,0,suicide,18-20 yrs,72,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,15.579964637756348 +1985,26,0,homicide,18-20 yrs,107,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,23.1535587310791 +1985,26,0,other external,18-20 yrs,46,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,9.953866004943848 +1985,26,0,internal,18-20 yrs,77,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,16.66190528869629 +1985,26,0,all,21-24 yrs,672,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,104.21658325195312 +1985,26,0,MVA,21-24 yrs,193,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,29.931251525878906 +1985,26,0,suicide,21-24 yrs,89,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,13.802494049072266 +1985,26,0,homicide,21-24 yrs,135,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,20.93636703491211 +1985,26,0,other external,21-24 yrs,79,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,12.251651763916016 +1985,26,0,internal,21-24 yrs,176,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,27.294818878173828 +1986,26,0,MVA,15-17 yrs,148,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,31.756454467773438 +1986,26,0,suicide,15-17 yrs,45,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,9.655678749084473 +1986,26,0,homicide,15-17 yrs,68,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,14.590803146362305 +1986,26,0,other external,15-17 yrs,35,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,7.509972095489502 +1986,26,0,internal,15-17 yrs,75,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,16.092798233032227 +1986,26,0,all,18-20 yrs,488,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,108.59236907958984 +1986,26,0,MVA,18-20 yrs,187,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,41.612239837646484 +1986,26,0,suicide,18-20 yrs,58,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,12.90647029876709 +1986,26,0,homicide,18-20 yrs,106,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,23.58768653869629 +1986,26,0,other external,18-20 yrs,48,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,10.681217193603516 +1986,26,0,internal,18-20 yrs,89,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,19.80475616455078 +1986,26,0,all,21-24 yrs,707,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,111.84974670410156 +1986,26,0,MVA,21-24 yrs,200,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,31.640663146972656 +1986,26,0,suicide,21-24 yrs,90,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,14.238298416137695 +1986,26,0,homicide,21-24 yrs,166,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,26.261751174926758 +1986,26,0,other external,21-24 yrs,79,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,12.498062133789062 +1986,26,0,internal,21-24 yrs,172,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,27.210969924926758 +1987,26,0,MVA,15-17 yrs,137,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,29.90541648864746 +1987,26,0,suicide,15-17 yrs,40,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,8.731508255004883 +1987,26,0,homicide,15-17 yrs,77,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,16.80815315246582 +1987,26,0,other external,15-17 yrs,29,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,6.330343723297119 +1987,26,0,internal,15-17 yrs,84,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,18.33616828918457 +1987,26,0,all,18-20 yrs,515,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,115.39038848876953 +1987,26,0,MVA,18-20 yrs,173,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,38.76220703125 +1987,26,0,suicide,18-20 yrs,74,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,16.580366134643555 +1987,26,0,homicide,18-20 yrs,138,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,30.920143127441406 +1987,26,0,other external,18-20 yrs,42,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,9.410478591918945 +1987,26,0,internal,18-20 yrs,88,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,19.717193603515625 +1987,26,0,all,21-24 yrs,665,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,108.39234161376953 +1987,26,0,MVA,21-24 yrs,187,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,30.48025131225586 +1987,26,0,suicide,21-24 yrs,89,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,14.506643295288086 +1987,26,0,homicide,21-24 yrs,148,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,24.1234073638916 +1987,26,0,other external,21-24 yrs,91,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,14.832635879516602 +1987,26,0,internal,21-24 yrs,150,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,24.449399948120117 +1988,26,0,MVA,15-17 yrs,117,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,26.742368698120117 +1988,26,0,suicide,15-17 yrs,50,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,11.428362846374512 +1988,26,0,homicide,15-17 yrs,59,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,13.485467910766602 +1988,26,0,other external,15-17 yrs,39,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,8.914122581481934 +1988,26,0,internal,15-17 yrs,64,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,14.628303527832031 +1988,26,0,all,18-20 yrs,504,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,112.61739349365234 +1988,26,0,MVA,18-20 yrs,185,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,41.33773422241211 +1988,26,0,suicide,18-20 yrs,69,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,15.41785717010498 +1988,26,0,homicide,18-20 yrs,113,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,25.249534606933594 +1988,26,0,other external,18-20 yrs,40,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,8.937888145446777 +1988,26,0,internal,18-20 yrs,97,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,21.674379348754883 +1988,26,0,all,21-24 yrs,596,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,100.60090637207031 +1988,26,0,MVA,21-24 yrs,192,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,32.40834426879883 +1988,26,0,suicide,21-24 yrs,80,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,13.503477096557617 +1988,26,0,homicide,21-24 yrs,121,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,20.424009323120117 +1988,26,0,other external,21-24 yrs,58,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,9.790020942687988 +1988,26,0,internal,21-24 yrs,145,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,24.475051879882812 +1989,26,0,MVA,15-17 yrs,121,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,29.55768585205078 +1989,26,0,suicide,15-17 yrs,36,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,8.7940216064453125 +1989,26,0,homicide,15-17 yrs,81,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,19.786548614501953 +1989,26,0,other external,15-17 yrs,21,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,5.129846096038818 +1989,26,0,internal,15-17 yrs,58,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,14.168146133422852 +1989,26,0,all,18-20 yrs,465,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,102.2717514038086 +1989,26,0,MVA,18-20 yrs,175,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,38.4893684387207 +1989,26,0,suicide,18-20 yrs,73,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,16.055564880371094 +1989,26,0,homicide,18-20 yrs,100,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,21.993925094604492 +1989,26,0,other external,18-20 yrs,31,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,6.818116664886475 +1989,26,0,internal,18-20 yrs,86,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,18.914775848388672 +1989,26,0,all,21-24 yrs,575,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,101.26876831054688 +1989,26,0,MVA,21-24 yrs,166,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,29.23585319519043 +1989,26,0,suicide,21-24 yrs,85,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,14.970165252685547 +1989,26,0,homicide,21-24 yrs,130,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,22.89554786682129 +1989,26,0,other external,21-24 yrs,45,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,7.925381660461426 +1989,26,0,internal,21-24 yrs,149,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,26.241819381713867 +1990,26,0,MVA,15-17 yrs,99,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,25.022178649902344 +1990,26,0,suicide,15-17 yrs,34,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,8.593475341796875 +1990,26,0,homicide,15-17 yrs,77,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,19.461694717407227 +1990,26,0,other external,15-17 yrs,31,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,7.8352274894714355 +1990,26,0,internal,15-17 yrs,63,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,15.92320442199707 +1990,26,0,all,18-20 yrs,470,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,104.17498016357422 +1990,26,0,MVA,18-20 yrs,153,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,33.91228103637695 +1990,26,0,suicide,18-20 yrs,54,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,11.969039916992188 +1990,26,0,homicide,18-20 yrs,128,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,28.371057510375977 +1990,26,0,other external,18-20 yrs,42,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,9.309253692626953 +1990,26,0,internal,18-20 yrs,93,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,20.613346099853516 +1990,26,0,all,21-24 yrs,596,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,107.25674438476562 +1990,26,0,MVA,21-24 yrs,180,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,32.39297866821289 +1990,26,0,suicide,21-24 yrs,78,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,14.036956787109375 +1990,26,0,homicide,21-24 yrs,150,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,26.99414825439453 +1990,26,0,other external,21-24 yrs,48,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,8.638127326965332 +1990,26,0,internal,21-24 yrs,140,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,25.194538116455078 +1991,26,0,MVA,15-17 yrs,95,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.240816116333008 +1991,26,0,suicide,15-17 yrs,28,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,7.1446614265441895 +1991,26,0,homicide,15-17 yrs,61,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,15.565155029296875 +1991,26,0,other external,15-17 yrs,33,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,8.420494079589844 +1991,26,0,internal,15-17 yrs,67,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,17.096155166625977 +1991,26,0,all,18-20 yrs,497,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,114.17046356201172 +1991,26,0,MVA,18-20 yrs,139,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,31.930973052978516 +1991,26,0,suicide,18-20 yrs,62,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,14.242592811584473 +1991,26,0,homicide,18-20 yrs,161,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,36.984798431396484 +1991,26,0,other external,18-20 yrs,51,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,11.715681076049805 +1991,26,0,internal,18-20 yrs,84,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,19.296415328979492 +1991,26,0,all,21-24 yrs,567,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,101.36095428466797 +1991,26,0,MVA,21-24 yrs,136,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.312328338623047 +1991,26,0,suicide,21-24 yrs,82,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,14.658903121948242 +1991,26,0,homicide,21-24 yrs,160,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,28.602737426757812 +1991,26,0,other external,21-24 yrs,51,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,9.117122650146484 +1991,26,0,internal,21-24 yrs,138,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.669862747192383 +1992,26,0,MVA,15-17 yrs,81,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,20.47455406188965 +1992,26,0,suicide,15-17 yrs,42,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,10.616436004638672 +1992,26,0,homicide,15-17 yrs,58,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,14.660792350769043 +1992,26,0,other external,15-17 yrs,35,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,8.847029685974121 +1992,26,0,internal,15-17 yrs,66,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,16.68297004699707 +1992,26,0,all,18-20 yrs,377,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,90.89155578613281 +1992,26,0,MVA,18-20 yrs,91,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,21.939340591430664 +1992,26,0,suicide,18-20 yrs,47,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,11.331308364868164 +1992,26,0,homicide,18-20 yrs,125,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,30.136457443237305 +1992,26,0,other external,18-20 yrs,38,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,9.161482810974121 +1992,26,0,internal,18-20 yrs,76,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,18.322965621948242 +1992,26,0,all,21-24 yrs,616,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,108.70812225341797 +1992,26,0,MVA,21-24 yrs,154,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,27.177030563354492 +1992,26,0,suicide,21-24 yrs,89,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,15.706205368041992 +1992,26,0,homicide,21-24 yrs,169,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,29.82414436340332 +1992,26,0,other external,21-24 yrs,50,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,8.823711395263672 +1992,26,0,internal,21-24 yrs,154,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,27.177030563354492 +1993,26,0,MVA,15-17 yrs,89,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,22.217561721801758 +1993,26,0,suicide,15-17 yrs,33,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,8.237972259521484 +1993,26,0,homicide,15-17 yrs,68,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,16.975215911865234 +1993,26,0,other external,15-17 yrs,23,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,5.741617202758789 +1993,26,0,internal,15-17 yrs,73,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,18.2233943939209 +1993,26,0,all,18-20 yrs,418,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,103.52710723876953 +1993,26,0,MVA,18-20 yrs,114,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.234664916992188 +1993,26,0,suicide,18-20 yrs,53,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,13.126642227172852 +1993,26,0,homicide,18-20 yrs,125,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,30.959062576293945 +1993,26,0,other external,18-20 yrs,42,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,10.402244567871094 +1993,26,0,internal,18-20 yrs,84,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,20.804489135742188 +1993,26,0,all,21-24 yrs,589,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,104.41170501708984 +1993,26,0,MVA,21-24 yrs,160,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.36311149597168 +1993,26,0,suicide,21-24 yrs,86,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,15.245172500610352 +1993,26,0,homicide,21-24 yrs,159,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.185842514038086 +1993,26,0,other external,21-24 yrs,47,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,8.331664085388184 +1993,26,0,internal,21-24 yrs,137,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,24.285913467407227 +1994,26,0,MVA,15-17 yrs,108,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,26.223712921142578 +1994,26,0,suicide,15-17 yrs,29,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,7.041552543640137 +1994,26,0,homicide,15-17 yrs,63,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,15.297165870666504 +1994,26,0,other external,15-17 yrs,31,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,7.527176856994629 +1994,26,0,internal,15-17 yrs,67,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,16.268413543701172 +1994,26,0,all,18-20 yrs,456,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,114.38835144042969 +1994,26,0,MVA,18-20 yrs,136,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,34.115821838378906 +1994,26,0,suicide,18-20 yrs,64,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,16.05450439453125 +1994,26,0,homicide,18-20 yrs,130,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,32.610713958740234 +1994,26,0,other external,18-20 yrs,34,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,8.528955459594727 +1994,26,0,internal,18-20 yrs,92,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,23.078350067138672 +1994,26,0,all,21-24 yrs,596,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,107.92662811279297 +1994,26,0,MVA,21-24 yrs,150,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,27.162742614746094 +1994,26,0,suicide,21-24 yrs,94,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,17.02198600769043 +1994,26,0,homicide,21-24 yrs,162,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,29.33576202392578 +1994,26,0,other external,21-24 yrs,50,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,9.054247856140137 +1994,26,0,internal,21-24 yrs,140,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,25.351892471313477 +1995,26,0,MVA,15-17 yrs,95,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,22.305652618408203 +1995,26,0,suicide,15-17 yrs,30,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,7.043890476226807 +1995,26,0,homicide,15-17 yrs,64,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,15.026966094970703 +1995,26,0,other external,15-17 yrs,25,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,5.869908809661865 +1995,26,0,internal,15-17 yrs,69,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,16.20094871520996 +1995,26,0,all,18-20 yrs,390,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,96.86962127685547 +1995,26,0,MVA,18-20 yrs,137,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,34.028560638427734 +1995,26,0,suicide,18-20 yrs,57,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,14.157867431640625 +1995,26,0,homicide,18-20 yrs,99,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,24.589981079101562 +1995,26,0,other external,18-20 yrs,31,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,7.699892997741699 +1995,26,0,internal,18-20 yrs,66,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,16.393320083618164 +1995,26,0,all,21-24 yrs,555,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,104.17996215820312 +1995,26,0,MVA,21-24 yrs,156,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,29.283016204833984 +1995,26,0,suicide,21-24 yrs,65,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,12.20125675201416 +1995,26,0,homicide,21-24 yrs,145,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,27.218189239501953 +1995,26,0,other external,21-24 yrs,33,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,6.194484233856201 +1995,26,0,internal,21-24 yrs,156,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,29.283016204833984 +1996,26,0,MVA,15-17 yrs,112,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,25.70021629333496 +1996,26,0,suicide,15-17 yrs,24,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,5.5071892738342285 +1996,26,0,homicide,15-17 yrs,51,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,11.702776908874512 +1996,26,0,other external,15-17 yrs,29,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,6.654520034790039 +1996,26,0,internal,15-17 yrs,62,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,14.226905822753906 +1996,26,0,all,18-20 yrs,363,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,88.99458312988281 +1996,26,0,MVA,18-20 yrs,141,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,34.56814193725586 +1996,26,0,suicide,18-20 yrs,52,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,12.74853515625 +1996,26,0,homicide,18-20 yrs,81,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,19.858295440673828 +1996,26,0,other external,18-20 yrs,23,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,5.63877534866333 +1996,26,0,internal,18-20 yrs,66,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,16.18083381652832 +1996,26,0,all,21-24 yrs,482,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,93.76337432861328 +1996,26,0,MVA,21-24 yrs,127,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,24.70528793334961 +1996,26,0,suicide,21-24 yrs,78,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,15.17332649230957 +1996,26,0,homicide,21-24 yrs,107,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,20.8146915435791 +1996,26,0,other external,21-24 yrs,36,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,7.003073692321777 +1996,26,0,internal,21-24 yrs,134,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,26.06699562072754 +1970,27,0,MVA,15-17 yrs,87,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,37.45221710205078 +1970,27,0,suicide,15-17 yrs,5,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,2.152426242828369 +1970,27,0,homicide,15-17 yrs,5,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,2.152426242828369 +1970,27,0,other external,15-17 yrs,47,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,20.232807159423828 +1970,27,0,internal,15-17 yrs,58,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,24.968143463134766 +1970,27,0,all,18-20 yrs,259,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,127.06854248046875 +1970,27,0,MVA,18-20 yrs,116,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,56.911006927490234 +1970,27,0,suicide,18-20 yrs,17,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,8.34040641784668 +1970,27,0,homicide,18-20 yrs,7,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,3.4342849254608154 +1970,27,0,other external,18-20 yrs,54,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,26.49305534362793 +1970,27,0,internal,18-20 yrs,65,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,31.889789581298828 +1970,27,0,all,21-24 yrs,288,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,125.32473754882812 +1970,27,0,MVA,21-24 yrs,130,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,56.570194244384766 +1970,27,0,suicide,21-24 yrs,26,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,11.314038276672363 +1970,27,0,homicide,21-24 yrs,8,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,3.4812426567077637 +1970,27,0,other external,21-24 yrs,44,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,19.146835327148438 +1970,27,0,internal,21-24 yrs,80,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,34.81242752075195 +1971,27,0,MVA,15-17 yrs,104,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,44.25456619262695 +1971,27,0,suicide,15-17 yrs,8,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,3.4041974544525146 +1971,27,0,homicide,15-17 yrs,2,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,0.8510493636131287 +1971,27,0,other external,15-17 yrs,43,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,18.297561645507812 +1971,27,0,internal,15-17 yrs,56,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,23.829381942749023 +1971,27,0,all,18-20 yrs,295,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,136.05316162109375 +1971,27,0,MVA,18-20 yrs,141,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,65.02880096435547 +1971,27,0,suicide,18-20 yrs,25,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,11.529929161071777 +1971,27,0,homicide,18-20 yrs,9,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,4.1507744789123535 +1971,27,0,other external,18-20 yrs,56,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,25.827041625976562 +1971,27,0,internal,18-20 yrs,64,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,29.516618728637695 +1971,27,0,all,21-24 yrs,319,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,125.95353698730469 +1971,27,0,MVA,21-24 yrs,131,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,51.7238655090332 +1971,27,0,suicide,21-24 yrs,36,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,14.214192390441895 +1971,27,0,homicide,21-24 yrs,11,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,4.343225479125977 +1971,27,0,other external,21-24 yrs,62,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,24.479997634887695 +1971,27,0,internal,21-24 yrs,79,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,31.1922550201416 +1972,27,0,MVA,15-17 yrs,98,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,41.20261001586914 +1972,27,0,suicide,15-17 yrs,8,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,3.363478422164917 +1972,27,0,homicide,15-17 yrs,6,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,2.522608995437622 +1972,27,0,other external,15-17 yrs,32,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,13.453913688659668 +1972,27,0,internal,15-17 yrs,48,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,20.180871963500977 +1972,27,0,all,18-20 yrs,264,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,117.88029479980469 +1972,27,0,MVA,18-20 yrs,112,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,50.009822845458984 +1972,27,0,suicide,18-20 yrs,26,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,11.609423637390137 +1972,27,0,homicide,18-20 yrs,4,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,1.7860651016235352 +1972,27,0,other external,18-20 yrs,60,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,26.790977478027344 +1972,27,0,internal,18-20 yrs,62,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,27.684009552001953 +1972,27,0,all,21-24 yrs,352,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,137.9132080078125 +1972,27,0,MVA,21-24 yrs,152,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,59.553428649902344 +1972,27,0,suicide,21-24 yrs,26,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,10.18677043914795 +1972,27,0,homicide,21-24 yrs,18,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,7.052379608154297 +1972,27,0,other external,21-24 yrs,80,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,31.343910217285156 +1972,27,0,internal,21-24 yrs,76,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,29.776714324951172 +1973,27,0.5863013863563538,MVA,15-17 yrs,89,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,36.807735443115234 +1973,27,0.5863013863563538,suicide,15-17 yrs,20,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,8.271401405334473 +1973,27,0.5863013863563538,homicide,15-17 yrs,3,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,1.2407101392745972 +1973,27,0.5863013863563538,other external,15-17 yrs,59,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,24.400632858276367 +1973,27,0.5863013863563538,internal,15-17 yrs,54,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.332782745361328 +1973,27,0.5863013863563538,all,18-20 yrs,297,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,130.81683349609375 +1973,27,0.5863013863563538,MVA,18-20 yrs,151,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,66.50956726074219 +1973,27,0.5863013863563538,suicide,18-20 yrs,27,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,11.892439842224121 +1973,27,0.5863013863563538,homicide,18-20 yrs,6,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,2.6427643299102783 +1973,27,0.5863013863563538,other external,18-20 yrs,51,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.463497161865234 +1973,27,0.5863013863563538,internal,18-20 yrs,62,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,27.308565139770508 +1973,27,0.5863013863563538,all,21-24 yrs,312,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,118.41551208496094 +1973,27,0.5863013863563538,MVA,21-24 yrs,122,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,46.30350112915039 +1973,27,0.5863013863563538,suicide,21-24 yrs,47,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,17.838233947753906 +1973,27,0.5863013863563538,homicide,21-24 yrs,16,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,6.072590351104736 +1973,27,0.5863013863563538,other external,21-24 yrs,58,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.013139724731445 +1973,27,0.5863013863563538,internal,21-24 yrs,69,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,26.188045501708984 +1974,27,1,MVA,15-17 yrs,79,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,32.14479064941406 +1974,27,1,suicide,15-17 yrs,20,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,8.137921333312988 +1974,27,1,homicide,15-17 yrs,9,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,3.662064790725708 +1974,27,1,other external,15-17 yrs,50,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,20.344802856445312 +1974,27,1,internal,15-17 yrs,50,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,20.344802856445312 +1974,27,1,all,18-20 yrs,294,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,128.1045684814453 +1974,27,1,MVA,18-20 yrs,143,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,62.30936813354492 +1974,27,1,suicide,18-20 yrs,41,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,17.86492347717285 +1974,27,1,homicide,18-20 yrs,15,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,6.535947799682617 +1974,27,1,other external,18-20 yrs,54,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,23.52941131591797 +1974,27,1,internal,18-20 yrs,41,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,17.86492347717285 +1974,27,1,all,21-24 yrs,331,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,121.83541107177734 +1974,27,1,MVA,21-24 yrs,124,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,45.642269134521484 +1974,27,1,suicide,21-24 yrs,40,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,14.723312377929688 +1974,27,1,homicide,21-24 yrs,23,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,8.465904235839844 +1974,27,1,other external,21-24 yrs,63,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,23.18921661376953 +1974,27,1,internal,21-24 yrs,81,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,29.814706802368164 +1975,27,1,MVA,15-17 yrs,101,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,40.673980712890625 +1975,27,1,suicide,15-17 yrs,15,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.040689945220947 +1975,27,1,homicide,15-17 yrs,10,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,4.027126789093018 +1975,27,1,other external,15-17 yrs,47,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,18.9274959564209 +1975,27,1,internal,15-17 yrs,49,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,19.732921600341797 +1975,27,1,all,18-20 yrs,295,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,126.28532409667969 +1975,27,1,MVA,18-20 yrs,132,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,56.50733184814453 +1975,27,1,suicide,18-20 yrs,36,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,15.411090850830078 +1975,27,1,homicide,18-20 yrs,15,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.421288013458252 +1975,27,1,other external,18-20 yrs,50,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,21.404293060302734 +1975,27,1,internal,18-20 yrs,62,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,26.541322708129883 +1975,27,1,all,21-24 yrs,313,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,110.67657470703125 +1975,27,1,MVA,21-24 yrs,101,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,35.71352767944336 +1975,27,1,suicide,21-24 yrs,52,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,18.387163162231445 +1975,27,1,homicide,21-24 yrs,17,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.01118803024292 +1975,27,1,other external,21-24 yrs,64,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,22.630353927612305 +1975,27,1,internal,21-24 yrs,79,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,27.934343338012695 +1976,27,0.9809041023254395,MVA,15-17 yrs,67,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,26.66274070739746 +1976,27,0.9809041023254395,suicide,15-17 yrs,18,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,7.163124084472656 +1976,27,0.9809041023254395,homicide,15-17 yrs,9,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,3.581562042236328 +1976,27,0.9809041023254395,other external,15-17 yrs,41,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,16.31600570678711 +1976,27,0.9809041023254395,internal,15-17 yrs,54,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,21.48937225341797 +1976,27,0.9809041023254395,all,18-20 yrs,299,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,125.41577911376953 +1976,27,0.9809041023254395,MVA,18-20 yrs,149,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,62.498165130615234 +1976,27,0.9809041023254395,suicide,18-20 yrs,34,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,14.26132583618164 +1976,27,0.9809041023254395,homicide,18-20 yrs,8,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,3.3556060791015625 +1976,27,0.9809041023254395,other external,18-20 yrs,46,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,19.294734954833984 +1976,27,0.9809041023254395,internal,18-20 yrs,62,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,26.00594711303711 +1976,27,0.9809041023254395,all,21-24 yrs,301,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,103.2990493774414 +1976,27,0.9809041023254395,MVA,21-24 yrs,116,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,39.809600830078125 +1976,27,0.9809041023254395,suicide,21-24 yrs,36,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,12.354703903198242 +1976,27,0.9809041023254395,homicide,21-24 yrs,13,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,4.46142053604126 +1976,27,0.9809041023254395,other external,21-24 yrs,61,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,20.934358596801758 +1976,27,0.9809041023254395,internal,21-24 yrs,75,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,25.73896598815918 +1977,27,0.7397071719169617,MVA,15-17 yrs,90,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,35.95771408081055 +1977,27,0.7397071719169617,suicide,15-17 yrs,21,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,8.390132904052734 +1977,27,0.7397071719169617,homicide,15-17 yrs,7,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,2.796710968017578 +1977,27,0.7397071719169617,other external,15-17 yrs,28,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,11.186843872070312 +1977,27,0.7397071719169617,internal,15-17 yrs,53,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,21.175098419189453 +1977,27,0.7397071719169617,all,18-20 yrs,290,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,119.34107208251953 +1977,27,0.7397071719169617,MVA,18-20 yrs,146,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,60.08205795288086 +1977,27,0.7397071719169617,suicide,18-20 yrs,35,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,14.40323257446289 +1977,27,0.7397071719169617,homicide,18-20 yrs,10,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,4.115209579467773 +1977,27,0.7397071719169617,other external,18-20 yrs,52,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,21.399089813232422 +1977,27,0.7397071719169617,internal,18-20 yrs,47,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,19.34148406982422 +1977,27,0.7397071719169617,all,21-24 yrs,328,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,110.97802734375 +1977,27,0.7397071719169617,MVA,21-24 yrs,107,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,36.20319747924805 +1977,27,0.7397071719169617,suicide,21-24 yrs,61,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,20.639205932617188 +1977,27,0.7397071719169617,homicide,21-24 yrs,11,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,3.7218241691589355 +1977,27,0.7397071719169617,other external,21-24 yrs,67,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,22.669292449951172 +1977,27,0.7397071719169617,internal,21-24 yrs,82,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,27.7445068359375 +1978,27,0.6662825345993042,MVA,15-17 yrs,91,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,36.768863677978516 +1978,27,0.6662825345993042,suicide,15-17 yrs,14,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,5.656748294830322 +1978,27,0.6662825345993042,homicide,15-17 yrs,4,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,1.6162137985229492 +1978,27,0.6662825345993042,other external,15-17 yrs,29,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,11.717550277709961 +1978,27,0.6662825345993042,internal,15-17 yrs,30,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,12.121603965759277 +1978,27,0.6662825345993042,all,18-20 yrs,331,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,135.25717163085938 +1978,27,0.6662825345993042,MVA,18-20 yrs,160,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,65.38111114501953 +1978,27,0.6662825345993042,suicide,18-20 yrs,35,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,14.302118301391602 +1978,27,0.6662825345993042,homicide,18-20 yrs,10,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,4.086319446563721 +1978,27,0.6662825345993042,other external,18-20 yrs,63,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,25.743812561035156 +1978,27,0.6662825345993042,internal,18-20 yrs,63,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,25.743812561035156 +1978,27,0.6662825345993042,all,21-24 yrs,327,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,108.75891876220703 +1978,27,0.6662825345993042,MVA,21-24 yrs,140,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,46.56344985961914 +1978,27,0.6662825345993042,suicide,21-24 yrs,51,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,16.962400436401367 +1978,27,0.6662825345993042,homicide,21-24 yrs,10,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,3.325960874557495 +1978,27,0.6662825345993042,other external,21-24 yrs,54,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,17.960187911987305 +1978,27,0.6662825345993042,internal,21-24 yrs,72,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,23.946918487548828 +1979,27,0.6642908453941345,MVA,15-17 yrs,84,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,34.8841552734375 +1979,27,0.6642908453941345,suicide,15-17 yrs,16,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,6.644600868225098 +1979,27,0.6642908453941345,homicide,15-17 yrs,1,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,0.4152875542640686 +1979,27,0.6642908453941345,other external,15-17 yrs,34,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,14.11977767944336 +1979,27,0.6642908453941345,internal,15-17 yrs,49,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,20.349090576171875 +1979,27,0.6642908453941345,all,18-20 yrs,327,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,131.89898681640625 +1979,27,0.6642908453941345,MVA,18-20 yrs,179,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,72.20158386230469 +1979,27,0.6642908453941345,suicide,18-20 yrs,37,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,14.924349784851074 +1979,27,0.6642908453941345,homicide,18-20 yrs,8,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,3.226886510848999 +1979,27,0.6642908453941345,other external,18-20 yrs,42,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,16.94115447998047 +1979,27,0.6642908453941345,internal,18-20 yrs,61,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,24.605009078979492 +1979,27,0.6642908453941345,all,21-24 yrs,304,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,99.162017822265625 +1979,27,0.6642908453941345,MVA,21-24 yrs,121,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,39.469093322753906 +1979,27,0.6642908453941345,suicide,21-24 yrs,46,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,15.004778861999512 +1979,27,0.6642908453941345,homicide,21-24 yrs,18,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,5.871435165405273 +1979,27,0.6642908453941345,other external,21-24 yrs,48,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,15.657160758972168 +1979,27,0.6642908453941345,internal,21-24 yrs,71,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,23.159549713134766 +1980,27,0.6759313941001892,MVA,15-17 yrs,62,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,26.6693058013916 +1980,27,0.6759313941001892,suicide,15-17 yrs,17,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,7.312551498413086 +1980,27,0.6759313941001892,homicide,15-17 yrs,3,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,1.2904502153396606 +1980,27,0.6759313941001892,other external,15-17 yrs,22,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,9.463301658630371 +1980,27,0.6759313941001892,internal,15-17 yrs,35,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,15.055253028869629 +1980,27,0.6759313941001892,all,18-20 yrs,279,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,113.10658264160156 +1980,27,0.6759313941001892,MVA,18-20 yrs,147,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,59.593788146972656 +1980,27,0.6759313941001892,suicide,18-20 yrs,28,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,11.351198196411133 +1980,27,0.6759313941001892,homicide,18-20 yrs,8,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,3.243199348449707 +1980,27,0.6759313941001892,other external,18-20 yrs,39,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,15.81059741973877 +1980,27,0.6759313941001892,internal,18-20 yrs,57,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,23.10779571533203 +1980,27,0.6759313941001892,all,21-24 yrs,359,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,114.79954528808594 +1980,27,0.6759313941001892,MVA,21-24 yrs,141,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,45.088401794433594 +1980,27,0.6759313941001892,suicide,21-24 yrs,58,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,18.5470027923584 +1980,27,0.6759313941001892,homicide,21-24 yrs,22,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,7.035069942474365 +1980,27,0.6759313941001892,other external,21-24 yrs,53,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,16.948122024536133 +1980,27,0.6759313941001892,internal,21-24 yrs,85,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,27.180952072143555 +1981,27,0.6791439056396484,MVA,15-17 yrs,72,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,32.729801177978516 +1981,27,0.6791439056396484,suicide,15-17 yrs,17,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,7.727869987487793 +1981,27,0.6791439056396484,homicide,15-17 yrs,4,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,1.8183223009109497 +1981,27,0.6791439056396484,other external,15-17 yrs,20,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,9.091611862182617 +1981,27,0.6791439056396484,internal,15-17 yrs,32,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,14.546578407287598 +1981,27,0.6791439056396484,all,18-20 yrs,240,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,98.493865966796875 +1981,27,0.6791439056396484,MVA,18-20 yrs,106,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,43.50145721435547 +1981,27,0.6791439056396484,suicide,18-20 yrs,37,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.184471130371094 +1981,27,0.6791439056396484,homicide,18-20 yrs,7,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,2.8727376461029053 +1981,27,0.6791439056396484,other external,18-20 yrs,42,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,17.236425399780273 +1981,27,0.6791439056396484,internal,18-20 yrs,48,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,19.698772430419922 +1981,27,0.6791439056396484,all,21-24 yrs,308,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,97.49797058105469 +1981,27,0.6791439056396484,MVA,21-24 yrs,131,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,41.46829605102539 +1981,27,0.6791439056396484,suicide,21-24 yrs,50,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.827592849731445 +1981,27,0.6791439056396484,homicide,21-24 yrs,7,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,2.215862989425659 +1981,27,0.6791439056396484,other external,21-24 yrs,49,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.511041641235352 +1981,27,0.6791439056396484,internal,21-24 yrs,71,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,22.475181579589844 +1982,27,0.6817948222160339,MVA,15-17 yrs,33,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,15.87759780883789 +1982,27,0.6817948222160339,suicide,15-17 yrs,9,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,4.330254077911377 +1982,27,0.6817948222160339,homicide,15-17 yrs,2,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,0.9622786641120911 +1982,27,0.6817948222160339,other external,15-17 yrs,17,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,8.17936897277832 +1982,27,0.6817948222160339,internal,15-17 yrs,35,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,16.839876174926758 +1982,27,0.6817948222160339,all,18-20 yrs,191,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,81.02867889404297 +1982,27,0.6817948222160339,MVA,18-20 yrs,67,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,28.423673629760742 +1982,27,0.6817948222160339,suicide,18-20 yrs,46,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.514760971069336 +1982,27,0.6817948222160339,homicide,18-20 yrs,11,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,4.666573524475098 +1982,27,0.6817948222160339,other external,18-20 yrs,21,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,8.908912658691406 +1982,27,0.6817948222160339,internal,18-20 yrs,46,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.514760971069336 +1982,27,0.6817948222160339,all,21-24 yrs,282,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,89.14036560058594 +1982,27,0.6817948222160339,MVA,21-24 yrs,98,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,30.97785758972168 +1982,27,0.6817948222160339,suicide,21-24 yrs,52,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,16.437231063842773 +1982,27,0.6817948222160339,homicide,21-24 yrs,12,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,3.7932069301605225 +1982,27,0.6817948222160339,other external,21-24 yrs,59,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,18.649934768676758 +1982,27,0.6817948222160339,internal,21-24 yrs,61,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.282135009765625 +1983,27,0.6879870295524597,MVA,15-17 yrs,38,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,19.144155502319336 +1983,27,0.6879870295524597,suicide,15-17 yrs,11,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,5.54172945022583 +1983,27,0.6879870295524597,homicide,15-17 yrs,1,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,0.5037935376167297 +1983,27,0.6879870295524597,other external,15-17 yrs,13,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,6.54931640625 +1983,27,0.6879870295524597,internal,15-17 yrs,22,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,11.08345890045166 +1983,27,0.6879870295524597,all,18-20 yrs,193,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,85.59479522705078 +1983,27,0.6879870295524597,MVA,18-20 yrs,76,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,33.70572280883789 +1983,27,0.6879870295524597,suicide,18-20 yrs,27,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,11.974401473999023 +1983,27,0.6879870295524597,homicide,18-20 yrs,5,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,2.217481851577759 +1983,27,0.6879870295524597,other external,18-20 yrs,37,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,16.409364700317383 +1983,27,0.6879870295524597,internal,18-20 yrs,48,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,21.287824630737305 +1983,27,0.6879870295524597,all,21-24 yrs,239,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,76.13841247558594 +1983,27,0.6879870295524597,MVA,21-24 yrs,89,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,28.352798461914062 +1983,27,0.6879870295524597,suicide,21-24 yrs,32,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,10.19426441192627 +1983,27,0.6879870295524597,homicide,21-24 yrs,7,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,2.2299952507019043 +1983,27,0.6879870295524597,other external,21-24 yrs,40,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,12.742830276489258 +1983,27,0.6879870295524597,internal,21-24 yrs,71,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,22.6185245513916 +1984,27,0.6908088326454163,MVA,15-17 yrs,49,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,25.14264678955078 +1984,27,0.6908088326454163,suicide,15-17 yrs,16,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,8.209843635559082 +1984,27,0.6908088326454163,homicide,15-17 yrs,1,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,0.5131152272224426 +1984,27,0.6908088326454163,other external,15-17 yrs,18,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,9.236074447631836 +1984,27,0.6908088326454163,internal,15-17 yrs,42,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,21.550840377807617 +1984,27,0.6908088326454163,all,18-20 yrs,212,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,99.22724151611328 +1984,27,0.6908088326454163,MVA,18-20 yrs,97,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,45.401145935058594 +1984,27,0.6908088326454163,suicide,18-20 yrs,28,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,13.105484962463379 +1984,27,0.6908088326454163,homicide,18-20 yrs,3,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,1.4041590690612793 +1984,27,0.6908088326454163,other external,18-20 yrs,35,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,16.38185691833496 +1984,27,0.6908088326454163,internal,18-20 yrs,49,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,22.934598922729492 +1984,27,0.6908088326454163,all,21-24 yrs,247,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,79.513519287109375 +1984,27,0.6908088326454163,MVA,21-24 yrs,82,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,26.397201538085938 +1984,27,0.6908088326454163,suicide,21-24 yrs,49,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,15.773937225341797 +1984,27,0.6908088326454163,homicide,21-24 yrs,5,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,1.6095854043960571 +1984,27,0.6908088326454163,other external,21-24 yrs,54,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,17.383522033691406 +1984,27,0.6908088326454163,internal,21-24 yrs,57,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,18.349273681640625 +1985,27,0.6872035264968872,MVA,15-17 yrs,49,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,25.09423065185547 +1985,27,0.6872035264968872,suicide,15-17 yrs,21,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.754670143127441 +1985,27,0.6872035264968872,homicide,15-17 yrs,6,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,3.072762966156006 +1985,27,0.6872035264968872,other external,15-17 yrs,9,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,4.609144687652588 +1985,27,0.6872035264968872,internal,15-17 yrs,21,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.754670143127441 +1985,27,0.6872035264968872,all,18-20 yrs,174,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,85.97517395019531 +1985,27,0.6872035264968872,MVA,18-20 yrs,80,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,39.52881622314453 +1985,27,0.6872035264968872,suicide,18-20 yrs,29,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,14.329195976257324 +1985,27,0.6872035264968872,homicide,18-20 yrs,3,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,1.482330560684204 +1985,27,0.6872035264968872,other external,18-20 yrs,23,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,11.364534378051758 +1985,27,0.6872035264968872,internal,18-20 yrs,39,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,19.27029800415039 +1985,27,0.6872035264968872,all,21-24 yrs,244,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,80.01338195800781 +1985,27,0.6872035264968872,MVA,21-24 yrs,83,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,27.217666625976562 +1985,27,0.6872035264968872,suicide,21-24 yrs,47,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,15.412413597106934 +1985,27,0.6872035264968872,homicide,21-24 yrs,12,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,3.935084342956543 +1985,27,0.6872035264968872,other external,21-24 yrs,31,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.165634155273438 +1985,27,0.6872035264968872,internal,21-24 yrs,71,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,23.282581329345703 +1986,27,0.6605846881866455,MVA,15-17 yrs,52,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,26.444801330566406 +1986,27,0.6605846881866455,suicide,15-17 yrs,40,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,20.34215545654297 +1986,27,0.6605846881866455,homicide,15-17 yrs,5,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,2.542769432067871 +1986,27,0.6605846881866455,other external,15-17 yrs,18,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,9.153969764709473 +1986,27,0.6605846881866455,internal,15-17 yrs,38,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,19.32504653930664 +1986,27,0.6605846881866455,all,18-20 yrs,217,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,111.86547088623047 +1986,27,0.6605846881866455,MVA,18-20 yrs,91,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,46.91132736206055 +1986,27,0.6605846881866455,suicide,18-20 yrs,46,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,23.71341896057129 +1986,27,0.6605846881866455,homicide,18-20 yrs,11,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,5.670599937438965 +1986,27,0.6605846881866455,other external,18-20 yrs,35,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,18.042818069458008 +1986,27,0.6605846881866455,internal,18-20 yrs,34,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,17.52730941772461 +1986,27,0.6605846881866455,all,21-24 yrs,229,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,78.06986999511719 +1986,27,0.6605846881866455,MVA,21-24 yrs,66,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,22.500486373901367 +1986,27,0.6605846881866455,suicide,21-24 yrs,49,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,16.704906463623047 +1986,27,0.6605846881866455,homicide,21-24 yrs,9,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,3.0682480335235596 +1986,27,0.6605846881866455,other external,21-24 yrs,42,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,14.318490982055664 +1986,27,0.6605846881866455,internal,21-24 yrs,63,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,21.47773551940918 +1987,27,0.3895438313484192,MVA,15-17 yrs,57,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,29.91372299194336 +1987,27,0.3895438313484192,suicide,15-17 yrs,33,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,17.318470001220703 +1987,27,0.3895438313484192,homicide,15-17 yrs,1,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,0.5248021483421326 +1987,27,0.3895438313484192,other external,15-17 yrs,9,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,4.723219394683838 +1987,27,0.3895438313484192,internal,15-17 yrs,37,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,19.417678833007812 +1987,27,0.3895438313484192,all,18-20 yrs,153,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,79.92686462402344 +1987,27,0.3895438313484192,MVA,18-20 yrs,62,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,32.38866424560547 +1987,27,0.3895438313484192,suicide,18-20 yrs,34,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,17.761526107788086 +1987,27,0.3895438313484192,homicide,18-20 yrs,10,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,5.223978042602539 +1987,27,0.3895438313484192,other external,18-20 yrs,21,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,10.970354080200195 +1987,27,0.3895438313484192,internal,18-20 yrs,26,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,13.582343101501465 +1987,27,0.3895438313484192,all,21-24 yrs,206,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,73.57695007324219 +1987,27,0.3895438313484192,MVA,21-24 yrs,61,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,21.7873477935791 +1987,27,0.3895438313484192,suicide,21-24 yrs,51,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,18.215652465820312 +1987,27,0.3895438313484192,homicide,21-24 yrs,10,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,3.5716965198516846 +1987,27,0.3895438313484192,other external,21-24 yrs,37,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,13.215276718139648 +1987,27,0.3895438313484192,internal,21-24 yrs,47,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,16.78697395324707 +1988,27,0.07282162457704544,MVA,15-17 yrs,45,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,24.702472686767578 +1988,27,0.07282162457704544,suicide,15-17 yrs,37,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,20.310922622680664 +1988,27,0.07282162457704544,homicide,15-17 yrs,6,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,3.2936630249023438 +1988,27,0.07282162457704544,other external,15-17 yrs,18,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,9.880989074707031 +1988,27,0.07282162457704544,internal,15-17 yrs,25,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,13.72359561920166 +1988,27,0.07282162457704544,all,18-20 yrs,171,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,88.10345458984375 +1988,27,0.07282162457704544,MVA,18-20 yrs,90,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,46.3702392578125 +1988,27,0.07282162457704544,suicide,18-20 yrs,29,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,14.941521644592285 +1988,27,0.07282162457704544,homicide,18-20 yrs,10,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,5.152248859405518 +1988,27,0.07282162457704544,other external,18-20 yrs,17,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,8.75882339477539 +1988,27,0.07282162457704544,internal,18-20 yrs,25,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,12.880622863769531 +1988,27,0.07282162457704544,all,21-24 yrs,232,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,86.43814849853516 +1988,27,0.07282162457704544,MVA,21-24 yrs,82,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,30.551416397094727 +1988,27,0.07282162457704544,suicide,21-24 yrs,48,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,17.88375473022461 +1988,27,0.07282162457704544,homicide,21-24 yrs,12,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,4.470938682556152 +1988,27,0.07282162457704544,other external,21-24 yrs,31,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,11.549925804138184 +1988,27,0.07282162457704544,internal,21-24 yrs,59,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,21.98211669921875 +1989,27,0,MVA,15-17 yrs,32,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.584014892578125 +1989,27,0,suicide,15-17 yrs,29,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,16.84176254272461 +1989,27,0,homicide,15-17 yrs,7,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,4.065253257751465 +1989,27,0,other external,15-17 yrs,6,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.4845027923583984 +1989,27,0,internal,15-17 yrs,25,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,14.518760681152344 +1989,27,0,all,18-20 yrs,190,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,96.580047607421875 +1989,27,0,MVA,18-20 yrs,89,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,45.24012756347656 +1989,27,0,suicide,18-20 yrs,40,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,20.3326416015625 +1989,27,0,homicide,18-20 yrs,6,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.049896240234375 +1989,27,0,other external,18-20 yrs,18,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,9.149688720703125 +1989,27,0,internal,18-20 yrs,37,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.807693481445312 +1989,27,0,all,21-24 yrs,196,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,76.503631591796875 +1989,27,0,MVA,21-24 yrs,71,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,27.713048934936523 +1989,27,0,suicide,21-24 yrs,38,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,14.83233642578125 +1989,27,0,homicide,21-24 yrs,9,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.5129218101501465 +1989,27,0,other external,21-24 yrs,30,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,11.709738731384277 +1989,27,0,internal,21-24 yrs,48,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.73558235168457 +1990,27,0,MVA,15-17 yrs,37,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,21.498628616333008 +1990,27,0,suicide,15-17 yrs,14,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,8.134615898132324 +1990,27,0,homicide,15-17 yrs,8,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,4.648352146148682 +1990,27,0,other external,15-17 yrs,16,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.296704292297363 +1990,27,0,internal,15-17 yrs,26,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,15.107144355773926 +1990,27,0,all,18-20 yrs,188,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,97.55591583251953 +1990,27,0,MVA,18-20 yrs,74,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,38.3996696472168 +1990,27,0,suicide,18-20 yrs,45,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,23.35114860534668 +1990,27,0,homicide,18-20 yrs,11,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,5.708058834075928 +1990,27,0,other external,18-20 yrs,18,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.340459823608398 +1990,27,0,internal,18-20 yrs,40,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,20.756576538085938 +1990,27,0,all,21-24 yrs,216,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,86.65059661865234 +1990,27,0,MVA,21-24 yrs,85,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,34.09861373901367 +1990,27,0,suicide,21-24 yrs,47,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,18.85452651977539 +1990,27,0,homicide,21-24 yrs,11,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,4.412761688232422 +1990,27,0,other external,21-24 yrs,23,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.226683616638184 +1990,27,0,internal,21-24 yrs,50,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,20.058008193969727 +1991,27,0,MVA,15-17 yrs,33,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,18.868032455444336 +1991,27,0,suicide,15-17 yrs,24,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,13.72220516204834 +1991,27,0,homicide,15-17 yrs,5,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,2.858792781829834 +1991,27,0,other external,15-17 yrs,7,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,4.002309799194336 +1991,27,0,internal,15-17 yrs,29,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,16.580997467041016 +1991,27,0,all,18-20 yrs,161,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,87.44866943359375 +1991,27,0,MVA,18-20 yrs,80,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,43.452754974365234 +1991,27,0,suicide,18-20 yrs,24,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,13.035826683044434 +1991,27,0,homicide,18-20 yrs,15,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,8.147391319274902 +1991,27,0,other external,18-20 yrs,19,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,10.320029258728027 +1991,27,0,internal,18-20 yrs,23,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,12.492667198181152 +1991,27,0,all,21-24 yrs,198,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,80.08186340332031 +1991,27,0,MVA,21-24 yrs,62,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,25.07613754272461 +1991,27,0,suicide,21-24 yrs,53,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,21.436054229736328 +1991,27,0,homicide,21-24 yrs,16,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,6.471261501312256 +1991,27,0,other external,21-24 yrs,23,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,9.302438735961914 +1991,27,0,internal,21-24 yrs,44,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,17.795969009399414 +1992,27,0,MVA,15-17 yrs,41,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,22.498546600341797 +1992,27,0,suicide,15-17 yrs,21,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,11.523645401000977 +1992,27,0,homicide,15-17 yrs,7,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,3.841215133666992 +1992,27,0,other external,15-17 yrs,8,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,4.389960289001465 +1992,27,0,internal,15-17 yrs,28,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,15.364860534667969 +1992,27,0,all,18-20 yrs,142,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,80.9675064086914 +1992,27,0,MVA,18-20 yrs,55,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,31.360652923583984 +1992,27,0,suicide,18-20 yrs,29,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,16.53561782836914 +1992,27,0,homicide,18-20 yrs,9,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,5.131743431091309 +1992,27,0,other external,18-20 yrs,19,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,10.833680152893066 +1992,27,0,internal,18-20 yrs,30,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,17.105810165405273 +1992,27,0,all,21-24 yrs,201,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,81.17571258544922 +1992,27,0,MVA,21-24 yrs,74,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,29.88558578491211 +1992,27,0,suicide,21-24 yrs,44,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,17.769807815551758 +1992,27,0,homicide,21-24 yrs,17,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,6.865607738494873 +1992,27,0,other external,21-24 yrs,16,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,6.4617486000061035 +1992,27,0,internal,21-24 yrs,50,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,20.192964553833008 +1993,27,0,MVA,15-17 yrs,33,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,17.494844436645508 +1993,27,0,suicide,15-17 yrs,18,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,9.542642593383789 +1993,27,0,homicide,15-17 yrs,9,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,4.7713212966918945 +1993,27,0,other external,15-17 yrs,9,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,4.7713212966918945 +1993,27,0,internal,15-17 yrs,31,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,16.434551239013672 +1993,27,0,all,18-20 yrs,127,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,72.2662582397461 +1993,27,0,MVA,18-20 yrs,47,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,26.744205474853516 +1993,27,0,suicide,18-20 yrs,29,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,16.50174331665039 +1993,27,0,homicide,18-20 yrs,19,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,10.811487197875977 +1993,27,0,other external,18-20 yrs,12,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,6.82830810546875 +1993,27,0,internal,18-20 yrs,20,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,11.380513191223145 +1993,27,0,all,21-24 yrs,186,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,75.673126220703125 +1993,27,0,MVA,21-24 yrs,51,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,20.749082565307617 +1993,27,0,suicide,21-24 yrs,48,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,19.528549194335938 +1993,27,0,homicide,21-24 yrs,16,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,6.50951623916626 +1993,27,0,other external,21-24 yrs,25,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,10.17111873626709 +1993,27,0,internal,21-24 yrs,46,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,18.714859008789062 +1994,27,0,MVA,15-17 yrs,42,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,21.205480575561523 +1994,27,0,suicide,15-17 yrs,11,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,5.553816318511963 +1994,27,0,homicide,15-17 yrs,8,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,4.039139270782471 +1994,27,0,other external,15-17 yrs,6,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,3.0293543338775635 +1994,27,0,internal,15-17 yrs,36,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,18.17612648010254 +1994,27,0,all,18-20 yrs,161,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,90.04474639892578 +1994,27,0,MVA,18-20 yrs,63,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,35.23489761352539 +1994,27,0,suicide,18-20 yrs,24,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,13.422819137573242 +1994,27,0,homicide,18-20 yrs,19,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,10.626398086547852 +1994,27,0,other external,18-20 yrs,21,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,11.744966506958008 +1994,27,0,internal,18-20 yrs,34,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,19.01565933227539 +1994,27,0,all,21-24 yrs,210,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,87.47557830810547 +1994,27,0,MVA,21-24 yrs,68,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,28.32542610168457 +1994,27,0,suicide,21-24 yrs,46,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,19.161317825317383 +1994,27,0,homicide,21-24 yrs,24,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,9.997209548950195 +1994,27,0,other external,21-24 yrs,17,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,7.081356525421143 +1994,27,0,internal,21-24 yrs,55,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,22.91027069091797 +1995,27,0,MVA,15-17 yrs,41,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,19.722822189331055 +1995,27,0,suicide,15-17 yrs,22,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.582977294921875 +1995,27,0,homicide,15-17 yrs,15,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,7.215666770935059 +1995,27,0,other external,15-17 yrs,16,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,7.69671106338501 +1995,27,0,internal,15-17 yrs,25,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,12.026110649108887 +1995,27,0,all,18-20 yrs,133,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,71.73755645751953 +1995,27,0,MVA,18-20 yrs,52,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,28.047767639160156 +1995,27,0,suicide,18-20 yrs,21,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,11.326983451843262 +1995,27,0,homicide,18-20 yrs,19,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.248222351074219 +1995,27,0,other external,18-20 yrs,9,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,4.854421138763428 +1995,27,0,internal,18-20 yrs,32,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,17.260164260864258 +1995,27,0,all,21-24 yrs,216,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,93.06974792480469 +1995,27,0,MVA,21-24 yrs,78,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,33.6085205078125 +1995,27,0,suicide,21-24 yrs,37,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,15.942503929138184 +1995,27,0,homicide,21-24 yrs,25,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.77196216583252 +1995,27,0,other external,21-24 yrs,27,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,11.633718490600586 +1995,27,0,internal,21-24 yrs,49,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,21.11304473876953 +1996,27,0,MVA,15-17 yrs,51,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,23.577926635742188 +1996,27,0,suicide,15-17 yrs,17,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.859309196472168 +1996,27,0,homicide,15-17 yrs,10,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,4.6231231689453125 +1996,27,0,other external,15-17 yrs,18,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,8.321621894836426 +1996,27,0,internal,15-17 yrs,30,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,13.869369506835938 +1996,27,0,all,18-20 yrs,156,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,81.54304504394531 +1996,27,0,MVA,18-20 yrs,59,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,30.839998245239258 +1996,27,0,suicide,18-20 yrs,24,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,12.545083999633789 +1996,27,0,homicide,18-20 yrs,20,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,10.45423698425293 +1996,27,0,other external,18-20 yrs,21,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,10.976948738098145 +1996,27,0,internal,18-20 yrs,32,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,16.726778030395508 +1996,27,0,all,21-24 yrs,166,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,73.12324523925781 +1996,27,0,MVA,21-24 yrs,57,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,25.108583450317383 +1996,27,0,suicide,21-24 yrs,36,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,15.858053207397461 +1996,27,0,homicide,21-24 yrs,17,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.488524913787842 +1996,27,0,other external,21-24 yrs,17,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.488524913787842 +1996,27,0,internal,21-24 yrs,39,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,17.17955780029297 +1970,28,1,MVA,15-17 yrs,71,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,49.25185775756836 +1970,28,1,suicide,15-17 yrs,4,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,2.774752616882324 +1970,28,1,homicide,15-17 yrs,11,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,7.6305694580078125 +1970,28,1,other external,15-17 yrs,39,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,27.053836822509766 +1970,28,1,internal,15-17 yrs,46,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,31.90965461730957 +1970,28,1,all,18-20 yrs,214,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,164.31204223632812 +1970,28,1,MVA,18-20 yrs,105,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,80.620391845703125 +1970,28,1,suicide,18-20 yrs,7,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,5.374692916870117 +1970,28,1,homicide,18-20 yrs,15,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,11.51719856262207 +1970,28,1,other external,18-20 yrs,38,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,29.176904678344727 +1970,28,1,internal,18-20 yrs,49,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,37.62284851074219 +1970,28,1,all,21-24 yrs,264,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,199.69290161132812 +1970,28,1,MVA,21-24 yrs,108,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,81.69255065917969 +1970,28,1,suicide,21-24 yrs,10,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,7.564125061035156 +1970,28,1,homicide,21-24 yrs,31,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,23.448787689208984 +1970,28,1,other external,21-24 yrs,53,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,40.08986282348633 +1970,28,1,internal,21-24 yrs,62,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,46.89757537841797 +1971,28,1,MVA,15-17 yrs,90,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,59.82968521118164 +1971,28,1,suicide,15-17 yrs,8,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,5.318194389343262 +1971,28,1,homicide,15-17 yrs,5,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,3.323871374130249 +1971,28,1,other external,15-17 yrs,50,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,33.238712310791016 +1971,28,1,internal,15-17 yrs,36,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,23.931873321533203 +1971,28,1,all,18-20 yrs,221,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,165.3560333251953 +1971,28,1,MVA,18-20 yrs,106,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,79.31104278564453 +1971,28,1,suicide,18-20 yrs,12,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,8.978608131408691 +1971,28,1,homicide,18-20 yrs,21,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,15.712564468383789 +1971,28,1,other external,18-20 yrs,38,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,28.432260513305664 +1971,28,1,internal,18-20 yrs,44,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,32.921566009521484 +1971,28,1,all,21-24 yrs,296,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,195.5486297607422 +1971,28,1,MVA,21-24 yrs,119,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,78.61582946777344 +1971,28,1,suicide,21-24 yrs,12,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,7.927647113800049 +1971,28,1,homicide,21-24 yrs,48,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,31.710588455200195 +1971,28,1,other external,21-24 yrs,38,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,25.104215621948242 +1971,28,1,internal,21-24 yrs,79,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,52.19034194946289 +1972,28,1,MVA,15-17 yrs,78,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,50.53450012207031 +1972,28,1,suicide,15-17 yrs,8,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,5.183025360107422 +1972,28,1,homicide,15-17 yrs,10,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,6.4787821769714355 +1972,28,1,other external,15-17 yrs,64,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,41.464202880859375 +1972,28,1,internal,15-17 yrs,52,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,33.689666748046875 +1972,28,1,all,18-20 yrs,224,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,164.2481689453125 +1972,28,1,MVA,18-20 yrs,98,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,71.85857391357422 +1972,28,1,suicide,18-20 yrs,16,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,11.732011795043945 +1972,28,1,homicide,18-20 yrs,24,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,17.5980167388916 +1972,28,1,other external,18-20 yrs,42,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,30.79652976989746 +1972,28,1,internal,18-20 yrs,44,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,32.263031005859375 +1972,28,1,all,21-24 yrs,322,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,202.164794921875 +1972,28,1,MVA,21-24 yrs,108,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,67.80682373046875 +1972,28,1,suicide,21-24 yrs,18,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,11.301137924194336 +1972,28,1,homicide,21-24 yrs,64,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,40.18182373046875 +1972,28,1,other external,21-24 yrs,68,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,42.69318771362305 +1972,28,1,internal,21-24 yrs,64,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,40.18182373046875 +1973,28,1,MVA,15-17 yrs,63,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,40.239906311035156 +1973,28,1,suicide,15-17 yrs,7,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,4.471100807189941 +1973,28,1,homicide,15-17 yrs,7,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,4.471100807189941 +1973,28,1,other external,15-17 yrs,60,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,38.3237190246582 +1973,28,1,internal,15-17 yrs,36,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,22.994232177734375 +1973,28,1,all,18-20 yrs,252,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,177.9748992919922 +1973,28,1,MVA,18-20 yrs,100,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,70.62496185302734 +1973,28,1,suicide,18-20 yrs,12,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,8.474995613098145 +1973,28,1,homicide,18-20 yrs,33,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,23.306236267089844 +1973,28,1,other external,18-20 yrs,56,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,39.54997634887695 +1973,28,1,internal,18-20 yrs,51,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,36.01873016357422 +1973,28,1,all,21-24 yrs,283,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,169.1885528564453 +1973,28,1,MVA,21-24 yrs,107,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,63.968814849853516 +1973,28,1,suicide,21-24 yrs,17,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,10.163269996643066 +1973,28,1,homicide,21-24 yrs,33,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,19.728700637817383 +1973,28,1,other external,21-24 yrs,58,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,34.674686431884766 +1973,28,1,internal,21-24 yrs,68,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,40.653079986572266 +1974,28,1,MVA,15-17 yrs,53,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,33.52732849121094 +1974,28,1,suicide,15-17 yrs,6,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,3.795546531677246 +1974,28,1,homicide,15-17 yrs,14,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,8.85627555847168 +1974,28,1,other external,15-17 yrs,45,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,28.466598510742188 +1974,28,1,internal,15-17 yrs,47,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,29.731781005859375 +1974,28,1,all,18-20 yrs,202,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,138.30784606933594 +1974,28,1,MVA,18-20 yrs,70,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,47.928462982177734 +1974,28,1,suicide,18-20 yrs,9,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,6.162230968475342 +1974,28,1,homicide,18-20 yrs,21,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,14.378539085388184 +1974,28,1,other external,18-20 yrs,54,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,36.973384857177734 +1974,28,1,internal,18-20 yrs,48,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,32.865230560302734 +1974,28,1,all,21-24 yrs,265,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,157.4167022705078 +1974,28,1,MVA,21-24 yrs,78,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,46.3339729309082 +1974,28,1,suicide,21-24 yrs,17,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,10.098429679870605 +1974,28,1,homicide,21-24 yrs,47,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,27.919189453125 +1974,28,1,other external,21-24 yrs,45,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,26.731138229370117 +1974,28,1,internal,21-24 yrs,78,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,46.3339729309082 +1975,28,1,MVA,15-17 yrs,53,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,33.54175567626953 +1975,28,1,suicide,15-17 yrs,4,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,2.5314533710479736 +1975,28,1,homicide,15-17 yrs,5,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,3.1643166542053223 +1975,28,1,other external,15-17 yrs,47,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,29.74457550048828 +1975,28,1,internal,15-17 yrs,29,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,18.353036880493164 +1975,28,1,all,18-20 yrs,186,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,124.11418151855469 +1975,28,1,MVA,18-20 yrs,63,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,42.03867721557617 +1975,28,1,suicide,18-20 yrs,10,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,6.6728057861328125 +1975,28,1,homicide,18-20 yrs,21,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,14.01289176940918 +1975,28,1,other external,18-20 yrs,44,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,29.36034393310547 +1975,28,1,internal,18-20 yrs,48,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,32.02946853637695 +1975,28,1,all,21-24 yrs,214,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,126.03656005859375 +1975,28,1,MVA,21-24 yrs,44,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,25.914058685302734 +1975,28,1,suicide,21-24 yrs,19,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,11.19016170501709 +1975,28,1,homicide,21-24 yrs,39,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,22.969280242919922 +1975,28,1,other external,21-24 yrs,65,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,38.282135009765625 +1975,28,1,internal,21-24 yrs,47,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,27.680927276611328 +1976,28,1,MVA,15-17 yrs,57,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,36.03239059448242 +1976,28,1,suicide,15-17 yrs,8,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,5.057177543640137 +1976,28,1,homicide,15-17 yrs,8,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,5.057177543640137 +1976,28,1,other external,15-17 yrs,38,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,24.021595001220703 +1976,28,1,internal,15-17 yrs,32,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,20.228710174560547 +1976,28,1,all,18-20 yrs,201,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,132.24119567871094 +1976,28,1,MVA,18-20 yrs,80,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,52.63330841064453 +1976,28,1,suicide,18-20 yrs,10,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,6.579163551330566 +1976,28,1,homicide,18-20 yrs,21,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,13.816244125366211 +1976,28,1,other external,18-20 yrs,48,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,31.579986572265625 +1976,28,1,internal,18-20 yrs,42,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,27.632488250732422 +1976,28,1,all,21-24 yrs,244,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,141.93885803222656 +1976,28,1,MVA,21-24 yrs,73,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,42.46531677246094 +1976,28,1,suicide,21-24 yrs,24,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,13.961199760437012 +1976,28,1,homicide,21-24 yrs,38,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,22.10523223876953 +1976,28,1,other external,21-24 yrs,47,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,27.340682983398438 +1976,28,1,internal,21-24 yrs,62,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,36.06643295288086 +1977,28,1,MVA,15-17 yrs,72,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,45.55462646484375 +1977,28,1,suicide,15-17 yrs,7,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,4.428922176361084 +1977,28,1,homicide,15-17 yrs,8,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,5.0616254806518555 +1977,28,1,other external,15-17 yrs,46,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.104345321655273 +1977,28,1,internal,15-17 yrs,30,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,18.981094360351562 +1977,28,1,all,18-20 yrs,216,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,140.83404541015625 +1977,28,1,MVA,18-20 yrs,81,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,52.81277084350586 +1977,28,1,suicide,18-20 yrs,10,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,6.520094871520996 +1977,28,1,homicide,18-20 yrs,30,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,19.560285568237305 +1977,28,1,other external,18-20 yrs,50,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,32.6004753112793 +1977,28,1,internal,18-20 yrs,45,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.34042739868164 +1977,28,1,all,21-24 yrs,277,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,158.7365264892578 +1977,28,1,MVA,21-24 yrs,86,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,49.28282165527344 +1977,28,1,suicide,21-24 yrs,19,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,10.888065338134766 +1977,28,1,homicide,21-24 yrs,51,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.225858688354492 +1977,28,1,other external,21-24 yrs,58,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,33.23725128173828 +1977,28,1,internal,21-24 yrs,63,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,36.10253143310547 +1978,28,1,MVA,15-17 yrs,59,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,37.487449645996094 +1978,28,1,suicide,15-17 yrs,9,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,5.7184247970581055 +1978,28,1,homicide,15-17 yrs,9,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,5.7184247970581055 +1978,28,1,other external,15-17 yrs,28,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,17.7906551361084 +1978,28,1,internal,15-17 yrs,15,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,9.530708312988281 +1978,28,1,all,18-20 yrs,228,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,147.92323303222656 +1978,28,1,MVA,18-20 yrs,112,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,72.66404724121094 +1978,28,1,suicide,18-20 yrs,15,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,9.731791496276855 +1978,28,1,homicide,18-20 yrs,24,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,15.570866584777832 +1978,28,1,other external,18-20 yrs,46,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,29.844161987304688 +1978,28,1,internal,18-20 yrs,31,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,20.112369537353516 +1978,28,1,all,21-24 yrs,298,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,165.98805236816406 +1978,28,1,MVA,21-24 yrs,125,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,69.62586212158203 +1978,28,1,suicide,21-24 yrs,25,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,13.925171852111816 +1978,28,1,homicide,21-24 yrs,39,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,21.723268508911133 +1978,28,1,other external,21-24 yrs,55,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,30.635377883911133 +1978,28,1,internal,21-24 yrs,54,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,30.078371047973633 +1979,28,1,MVA,15-17 yrs,65,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,41.58536148071289 +1979,28,1,suicide,15-17 yrs,4,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,2.5590991973876953 +1979,28,1,homicide,15-17 yrs,12,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,7.677297592163086 +1979,28,1,other external,15-17 yrs,35,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,22.392118453979492 +1979,28,1,internal,15-17 yrs,36,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,23.031892776489258 +1979,28,1,all,18-20 yrs,201,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,130.78785705566406 +1979,28,1,MVA,18-20 yrs,84,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,54.65760803222656 +1979,28,1,suicide,18-20 yrs,15,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,9.760287284851074 +1979,28,1,homicide,18-20 yrs,24,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,15.616459846496582 +1979,28,1,other external,18-20 yrs,42,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,27.32880401611328 +1979,28,1,internal,18-20 yrs,36,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,23.42469024658203 +1979,28,1,all,21-24 yrs,299,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,164.9236602783203 +1979,28,1,MVA,21-24 yrs,103,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,56.813167572021484 +1979,28,1,suicide,21-24 yrs,22,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,12.134851455688477 +1979,28,1,homicide,21-24 yrs,48,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,26.47603988647461 +1979,28,1,other external,21-24 yrs,61,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,33.64663314819336 +1979,28,1,internal,21-24 yrs,65,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,35.852970123291016 +1980,28,1,MVA,15-17 yrs,55,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,36.054935455322266 +1980,28,1,suicide,15-17 yrs,6,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,3.9332656860351562 +1980,28,1,homicide,15-17 yrs,8,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,5.244354248046875 +1980,28,1,other external,15-17 yrs,39,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,25.566226959228516 +1980,28,1,internal,15-17 yrs,23,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,15.077518463134766 +1980,28,1,all,18-20 yrs,230,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,146.5360107421875 +1980,28,1,MVA,18-20 yrs,100,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,63.71131134033203 +1980,28,1,suicide,18-20 yrs,13,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,8.282470703125 +1980,28,1,homicide,18-20 yrs,23,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,14.65360164642334 +1980,28,1,other external,18-20 yrs,48,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,30.58142852783203 +1980,28,1,internal,18-20 yrs,46,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.30720329284668 +1980,28,1,all,21-24 yrs,307,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,167.15670776367188 +1980,28,1,MVA,21-24 yrs,109,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,59.34879684448242 +1980,28,1,suicide,21-24 yrs,32,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,17.423500061035156 +1980,28,1,homicide,21-24 yrs,54,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.402156829833984 +1980,28,1,other external,21-24 yrs,58,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,31.580093383789062 +1980,28,1,internal,21-24 yrs,54,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.402156829833984 +1981,28,1,MVA,15-17 yrs,50,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,34.1280632019043 +1981,28,1,suicide,15-17 yrs,6,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,4.095367431640625 +1981,28,1,homicide,15-17 yrs,3,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,2.0476837158203125 +1981,28,1,other external,15-17 yrs,36,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,24.57220458984375 +1981,28,1,internal,15-17 yrs,31,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,21.159399032592773 +1981,28,1,all,18-20 yrs,215,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,135.77003479003906 +1981,28,1,MVA,18-20 yrs,93,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,58.72843551635742 +1981,28,1,suicide,18-20 yrs,15,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,9.472328186035156 +1981,28,1,homicide,18-20 yrs,21,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,13.261259078979492 +1981,28,1,other external,18-20 yrs,48,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,30.311450958251953 +1981,28,1,internal,18-20 yrs,38,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,23.996564865112305 +1981,28,1,all,21-24 yrs,286,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,152.51869201660156 +1981,28,1,MVA,21-24 yrs,114,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,60.79416275024414 +1981,28,1,suicide,21-24 yrs,34,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,18.131591796875 +1981,28,1,homicide,21-24 yrs,38,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,20.264720916748047 +1981,28,1,other external,21-24 yrs,44,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,23.464414596557617 +1981,28,1,internal,21-24 yrs,56,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,29.863800048828125 +1982,28,1,MVA,15-17 yrs,48,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,34.15859603881836 +1982,28,1,suicide,15-17 yrs,6,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,4.269824504852295 +1982,28,1,homicide,15-17 yrs,11,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,7.828011512756348 +1982,28,1,other external,15-17 yrs,28,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,19.92584800720215 +1982,28,1,internal,15-17 yrs,25,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,17.790935516357422 +1982,28,1,all,18-20 yrs,195,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,123.90550231933594 +1982,28,1,MVA,18-20 yrs,84,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,53.37467575073242 +1982,28,1,suicide,18-20 yrs,13,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,8.260366439819336 +1982,28,1,homicide,18-20 yrs,29,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,18.426971435546875 +1982,28,1,other external,18-20 yrs,39,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,24.78110122680664 +1982,28,1,internal,18-20 yrs,30,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,19.06238555908203 +1982,28,1,all,21-24 yrs,282,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,147.5551300048828 +1982,28,1,MVA,21-24 yrs,109,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,57.033721923828125 +1982,28,1,suicide,21-24 yrs,22,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,11.511393547058105 +1982,28,1,homicide,21-24 yrs,62,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,32.441200256347656 +1982,28,1,other external,21-24 yrs,46,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,24.069276809692383 +1982,28,1,internal,21-24 yrs,43,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,22.499542236328125 +1983,28,1,MVA,15-17 yrs,45,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,33.30915451049805 +1983,28,1,suicide,15-17 yrs,9,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,6.661830902099609 +1983,28,1,homicide,15-17 yrs,6,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,4.441220283508301 +1983,28,1,other external,15-17 yrs,33,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,24.426712036132812 +1983,28,1,internal,15-17 yrs,21,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,15.544271469116211 +1983,28,1,all,18-20 yrs,192,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,124.30000305175781 +1983,28,1,MVA,18-20 yrs,81,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,52.439064025878906 +1983,28,1,suicide,18-20 yrs,21,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,13.59531307220459 +1983,28,1,homicide,18-20 yrs,21,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,13.59531307220459 +1983,28,1,other external,18-20 yrs,30,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,19.421875 +1983,28,1,internal,18-20 yrs,39,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,25.248437881469727 +1983,28,1,all,21-24 yrs,251,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,129.7318572998047 +1983,28,1,MVA,21-24 yrs,95,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,49.1016960144043 +1983,28,1,suicide,21-24 yrs,22,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,11.370919227600098 +1983,28,1,homicide,21-24 yrs,33,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,17.056379318237305 +1983,28,1,other external,21-24 yrs,53,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,27.393579483032227 +1983,28,1,internal,21-24 yrs,48,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,24.80927848815918 +1984,28,1,MVA,15-17 yrs,39,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,29.026927947998047 +1984,28,1,suicide,15-17 yrs,6,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,4.465681076049805 +1984,28,1,homicide,15-17 yrs,3,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,2.2328405380249023 +1984,28,1,other external,15-17 yrs,27,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,20.095565795898438 +1984,28,1,internal,15-17 yrs,28,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,20.839845657348633 +1984,28,1,all,18-20 yrs,177,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,118.65576934814453 +1984,28,1,MVA,18-20 yrs,82,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,54.9704704284668 +1984,28,1,suicide,18-20 yrs,10,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,6.703715801239014 +1984,28,1,homicide,18-20 yrs,21,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,14.077803611755371 +1984,28,1,other external,18-20 yrs,27,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,18.100032806396484 +1984,28,1,internal,18-20 yrs,37,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,24.803749084472656 +1984,28,1,all,21-24 yrs,226,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,116.88103485107422 +1984,28,1,MVA,21-24 yrs,75,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,38.7879524230957 +1984,28,1,suicide,21-24 yrs,30,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,15.515181541442871 +1984,28,1,homicide,21-24 yrs,35,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,18.101045608520508 +1984,28,1,other external,21-24 yrs,37,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,19.135391235351562 +1984,28,1,internal,21-24 yrs,49,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,25.341463088989258 +1985,28,1,MVA,15-17 yrs,37,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,27.10205841064453 +1985,28,1,suicide,15-17 yrs,8,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,5.8599042892456055 +1985,28,1,homicide,15-17 yrs,8,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,5.8599042892456055 +1985,28,1,other external,15-17 yrs,21,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.382248878479004 +1985,28,1,internal,15-17 yrs,22,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,16.114736557006836 +1985,28,1,all,18-20 yrs,170,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,118.79887390136719 +1985,28,1,MVA,18-20 yrs,70,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,48.91718292236328 +1985,28,1,suicide,18-20 yrs,15,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,10.482253074645996 +1985,28,1,homicide,18-20 yrs,21,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,14.675154685974121 +1985,28,1,other external,18-20 yrs,34,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,23.759775161743164 +1985,28,1,internal,18-20 yrs,30,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,20.964506149291992 +1985,28,1,all,21-24 yrs,248,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,130.24594116210938 +1985,28,1,MVA,21-24 yrs,102,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,53.56889724731445 +1985,28,1,suicide,21-24 yrs,29,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.230372428894043 +1985,28,1,homicide,21-24 yrs,29,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.230372428894043 +1985,28,1,other external,21-24 yrs,32,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,16.80592918395996 +1985,28,1,internal,21-24 yrs,56,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,29.41037368774414 +1986,28,0.7479451894760132,MVA,15-17 yrs,53,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,37.91781234741211 +1986,28,0.7479451894760132,suicide,15-17 yrs,9,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,6.438873767852783 +1986,28,0.7479451894760132,homicide,15-17 yrs,11,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,7.869734287261963 +1986,28,0.7479451894760132,other external,15-17 yrs,20,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,14.308608055114746 +1986,28,0.7479451894760132,internal,15-17 yrs,28,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,20.03205108642578 +1986,28,0.7479451894760132,all,18-20 yrs,173,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,125.34778594970703 +1986,28,0.7479451894760132,MVA,18-20 yrs,82,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,59.41340255737305 +1986,28,0.7479451894760132,suicide,18-20 yrs,14,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,10.14375114440918 +1986,28,0.7479451894760132,homicide,18-20 yrs,25,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,18.113842010498047 +1986,28,0.7479451894760132,other external,18-20 yrs,25,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,18.113842010498047 +1986,28,0.7479451894760132,internal,18-20 yrs,27,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,19.562950134277344 +1986,28,0.7479451894760132,all,21-24 yrs,257,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,138.58929443359375 +1986,28,0.7479451894760132,MVA,21-24 yrs,94,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,50.690250396728516 +1986,28,0.7479451894760132,suicide,21-24 yrs,32,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,17.256256103515625 +1986,28,0.7479451894760132,homicide,21-24 yrs,41,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,22.109577178955078 +1986,28,0.7479451894760132,other external,21-24 yrs,36,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,19.413288116455078 +1986,28,0.7479451894760132,internal,21-24 yrs,54,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,29.119930267333984 +1987,28,0,MVA,15-17 yrs,52,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,37.40388107299805 +1987,28,0,suicide,15-17 yrs,11,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,7.912359714508057 +1987,28,0,homicide,15-17 yrs,4,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,2.8772218227386475 +1987,28,0,other external,15-17 yrs,15,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,10.789581298828125 +1987,28,0,internal,15-17 yrs,22,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,15.824719429016113 +1987,28,0,all,18-20 yrs,158,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,115.44390869140625 +1987,28,0,MVA,18-20 yrs,82,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,59.9139289855957 +1987,28,0,suicide,18-20 yrs,7,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,5.114603519439697 +1987,28,0,homicide,18-20 yrs,21,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,15.34381103515625 +1987,28,0,other external,18-20 yrs,20,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,14.613153457641602 +1987,28,0,internal,18-20 yrs,28,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,20.45841407775879 +1987,28,0,all,21-24 yrs,234,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,132.89715576171875 +1987,28,0,MVA,21-24 yrs,98,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,55.65778350830078 +1987,28,0,suicide,21-24 yrs,17,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,9.654921531677246 +1987,28,0,homicide,21-24 yrs,33,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,18.741907119750977 +1987,28,0,other external,21-24 yrs,38,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,21.58159065246582 +1987,28,0,internal,21-24 yrs,48,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,27.260955810546875 +1988,28,0,MVA,15-17 yrs,53,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,39.283119201660156 +1988,28,0,suicide,15-17 yrs,17,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,12.60024642944336 +1988,28,0,homicide,15-17 yrs,7,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,5.1883368492126465 +1988,28,0,other external,15-17 yrs,17,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,12.60024642944336 +1988,28,0,internal,15-17 yrs,25,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,18.529773712158203 +1988,28,0,all,18-20 yrs,155,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,112.14168548583984 +1988,28,0,MVA,18-20 yrs,74,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,53.538612365722656 +1988,28,0,suicide,18-20 yrs,15,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,10.852421760559082 +1988,28,0,homicide,18-20 yrs,18,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,13.022906303405762 +1988,28,0,other external,18-20 yrs,18,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,13.022906303405762 +1988,28,0,internal,18-20 yrs,30,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,21.704843521118164 +1988,28,0,all,21-24 yrs,215,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,129.05239868164062 +1988,28,0,MVA,21-24 yrs,91,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,54.62217712402344 +1988,28,0,suicide,21-24 yrs,13,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,7.803168296813965 +1988,28,0,homicide,21-24 yrs,26,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,15.60633659362793 +1988,28,0,other external,21-24 yrs,37,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,22.209016799926758 +1988,28,0,internal,21-24 yrs,48,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,28.811697006225586 +1989,28,0,MVA,15-17 yrs,43,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,33.46615982055664 +1989,28,0,suicide,15-17 yrs,8,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,6.22626256942749 +1989,28,0,homicide,15-17 yrs,7,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,5.44797945022583 +1989,28,0,other external,15-17 yrs,20,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.565655708312988 +1989,28,0,internal,15-17 yrs,28,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,21.79191780090332 +1989,28,0,all,18-20 yrs,168,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,118.7337875366211 +1989,28,0,MVA,18-20 yrs,88,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,62.19388961791992 +1989,28,0,suicide,18-20 yrs,19,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,13.428226470947266 +1989,28,0,homicide,18-20 yrs,20,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.134974479675293 +1989,28,0,other external,18-20 yrs,20,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.134974479675293 +1989,28,0,internal,18-20 yrs,21,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.841723442077637 +1989,28,0,all,21-24 yrs,207,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,131.23692321777344 +1989,28,0,MVA,21-24 yrs,87,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,55.15754699707031 +1989,28,0,suicide,21-24 yrs,24,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.215875625610352 +1989,28,0,homicide,21-24 yrs,32,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,20.28783416748047 +1989,28,0,other external,21-24 yrs,25,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.849869728088379 +1989,28,0,internal,21-24 yrs,39,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,24.725797653198242 +1990,28,0,MVA,15-17 yrs,56,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,45.05229187011719 +1990,28,0,suicide,15-17 yrs,9,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,7.240547180175781 +1990,28,0,homicide,15-17 yrs,11,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,8.849557876586914 +1990,28,0,other external,15-17 yrs,27,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,21.721641540527344 +1990,28,0,internal,15-17 yrs,17,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.676589012145996 +1990,28,0,all,18-20 yrs,195,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,135.8468475341797 +1990,28,0,MVA,18-20 yrs,93,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,64.78849792480469 +1990,28,0,suicide,18-20 yrs,16,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,11.146408081054688 +1990,28,0,homicide,18-20 yrs,34,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,23.68611717224121 +1990,28,0,other external,18-20 yrs,25,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,17.416261672973633 +1990,28,0,internal,18-20 yrs,27,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,18.80956268310547 +1990,28,0,all,21-24 yrs,250,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,161.84686279296875 +1990,28,0,MVA,21-24 yrs,107,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,69.27046203613281 +1990,28,0,suicide,21-24 yrs,21,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.595136642456055 +1990,28,0,homicide,21-24 yrs,46,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,29.779823303222656 +1990,28,0,other external,21-24 yrs,21,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.595136642456055 +1990,28,0,internal,21-24 yrs,55,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,35.6063117980957 +1991,28,0,MVA,15-17 yrs,58,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,46.75571823120117 +1991,28,0,suicide,15-17 yrs,14,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,11.285862922668457 +1991,28,0,homicide,15-17 yrs,17,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,13.704261779785156 +1991,28,0,other external,15-17 yrs,20,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,16.122661590576172 +1991,28,0,internal,15-17 yrs,21,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,16.928794860839844 +1991,28,0,all,18-20 yrs,195,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,139.4640350341797 +1991,28,0,MVA,18-20 yrs,90,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,64.368011474609375 +1991,28,0,suicide,18-20 yrs,11,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,7.867201805114746 +1991,28,0,homicide,18-20 yrs,44,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,31.468807220458984 +1991,28,0,other external,18-20 yrs,25,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,17.880002975463867 +1991,28,0,internal,18-20 yrs,25,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,17.880002975463867 +1991,28,0,all,21-24 yrs,225,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,140.6627960205078 +1991,28,0,MVA,21-24 yrs,79,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,49.38827133178711 +1991,28,0,suicide,21-24 yrs,22,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,13.75369644165039 +1991,28,0,homicide,21-24 yrs,42,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,26.257057189941406 +1991,28,0,other external,21-24 yrs,25,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,15.629199981689453 +1991,28,0,internal,21-24 yrs,57,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,35.63457489013672 +1992,28,0,MVA,15-17 yrs,45,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,35.4911994934082 +1992,28,0,suicide,15-17 yrs,7,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,5.520853042602539 +1992,28,0,homicide,15-17 yrs,19,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,14.985172271728516 +1992,28,0,other external,15-17 yrs,15,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,11.830399513244629 +1992,28,0,internal,15-17 yrs,24,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.928638458251953 +1992,28,0,all,18-20 yrs,198,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,149.1132354736328 +1992,28,0,MVA,18-20 yrs,83,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,62.50706100463867 +1992,28,0,suicide,18-20 yrs,25,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.82742691040039 +1992,28,0,homicide,18-20 yrs,46,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,34.6424674987793 +1992,28,0,other external,18-20 yrs,20,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,15.061942100524902 +1992,28,0,internal,18-20 yrs,24,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.074331283569336 +1992,28,0,all,21-24 yrs,270,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,160.7171630859375 +1992,28,0,MVA,21-24 yrs,91,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,54.167633056640625 +1992,28,0,suicide,21-24 yrs,28,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,16.666963577270508 +1992,28,0,homicide,21-24 yrs,77,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,45.83415222167969 +1992,28,0,other external,21-24 yrs,28,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,16.666963577270508 +1992,28,0,internal,21-24 yrs,46,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,27.381441116333008 +1993,28,0,MVA,15-17 yrs,59,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,45.83164978027344 +1993,28,0,suicide,15-17 yrs,18,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.982537269592285 +1993,28,0,homicide,15-17 yrs,26,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,20.196998596191406 +1993,28,0,other external,15-17 yrs,16,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,12.428921699523926 +1993,28,0,internal,15-17 yrs,24,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,18.643383026123047 +1993,28,0,all,18-20 yrs,187,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,144.0056610107422 +1993,28,0,MVA,18-20 yrs,82,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,63.14686965942383 +1993,28,0,suicide,18-20 yrs,24,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,18.482011795043945 +1993,28,0,homicide,18-20 yrs,46,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,35.42385482788086 +1993,28,0,other external,18-20 yrs,18,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.8615083694458 +1993,28,0,internal,18-20 yrs,17,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.091423988342285 +1993,28,0,all,21-24 yrs,285,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,163.30599975585938 +1993,28,0,MVA,21-24 yrs,94,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,53.86233139038086 +1993,28,0,suicide,21-24 yrs,26,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,14.898091316223145 +1993,28,0,homicide,21-24 yrs,81,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,46.41328430175781 +1993,28,0,other external,21-24 yrs,24,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.752084732055664 +1993,28,0,internal,21-24 yrs,60,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,34.380210876464844 +1994,28,0,MVA,15-17 yrs,52,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,39.34297180175781 +1994,28,0,suicide,15-17 yrs,13,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,9.835742950439453 +1994,28,0,homicide,15-17 yrs,30,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,22.69786834716797 +1994,28,0,other external,15-17 yrs,20,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,15.131912231445312 +1994,28,0,internal,15-17 yrs,23,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,17.40169906616211 +1994,28,0,all,18-20 yrs,190,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,146.2235870361328 +1994,28,0,MVA,18-20 yrs,85,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,65.41581726074219 +1994,28,0,suicide,18-20 yrs,15,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,11.543967247009277 +1994,28,0,homicide,18-20 yrs,54,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,41.55828094482422 +1994,28,0,other external,18-20 yrs,18,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,13.852760314941406 +1994,28,0,internal,18-20 yrs,18,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,13.852760314941406 +1994,28,0,all,21-24 yrs,278,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,159.18643188476562 +1994,28,0,MVA,21-24 yrs,93,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,53.253013610839844 +1994,28,0,suicide,21-24 yrs,32,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,18.323617935180664 +1994,28,0,homicide,21-24 yrs,54,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,30.921104431152344 +1994,28,0,other external,21-24 yrs,29,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,16.60577964782715 +1994,28,0,internal,21-24 yrs,70,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,40.082916259765625 +1995,28,0,MVA,15-17 yrs,62,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,45.664119720458984 +1995,28,0,suicide,15-17 yrs,14,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,10.31125259399414 +1995,28,0,homicide,15-17 yrs,25,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,18.41295051574707 +1995,28,0,other external,15-17 yrs,17,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,12.520806312561035 +1995,28,0,internal,15-17 yrs,25,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,18.41295051574707 +1995,28,0,all,18-20 yrs,172,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,129.8563995361328 +1995,28,0,MVA,18-20 yrs,68,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,51.33857727050781 +1995,28,0,suicide,18-20 yrs,21,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,15.854560852050781 +1995,28,0,homicide,18-20 yrs,34,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,25.669288635253906 +1995,28,0,other external,18-20 yrs,26,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,19.62945556640625 +1995,28,0,internal,18-20 yrs,23,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,17.364519119262695 +1995,28,0,all,21-24 yrs,245,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,143.29832458496094 +1995,28,0,MVA,21-24 yrs,99,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,57.90421676635742 +1995,28,0,suicide,21-24 yrs,28,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,16.376951217651367 +1995,28,0,homicide,21-24 yrs,50,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,29.24455451965332 +1995,28,0,other external,21-24 yrs,29,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,16.961841583251953 +1995,28,0,internal,21-24 yrs,39,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,22.810752868652344 +1996,28,0,MVA,15-17 yrs,55,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,39.83803939819336 +1996,28,0,suicide,15-17 yrs,5,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,3.6216399669647217 +1996,28,0,homicide,15-17 yrs,21,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,15.210887908935547 +1996,28,0,other external,15-17 yrs,24,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,17.383872985839844 +1996,28,0,internal,15-17 yrs,27,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,19.556856155395508 +1996,28,0,all,18-20 yrs,206,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,153.73593139648438 +1996,28,0,MVA,18-20 yrs,94,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,70.1513442993164 +1996,28,0,suicide,18-20 yrs,16,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,11.940654754638672 +1996,28,0,homicide,18-20 yrs,40,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,29.85163688659668 +1996,28,0,other external,18-20 yrs,25,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,18.65727424621582 +1996,28,0,internal,18-20 yrs,31,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,23.135019302368164 +1996,28,0,all,21-24 yrs,230,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,139.3643798828125 +1996,28,0,MVA,21-24 yrs,94,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,56.95761489868164 +1996,28,0,suicide,21-24 yrs,25,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,15.14830207824707 +1996,28,0,homicide,21-24 yrs,52,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,31.508468627929688 +1996,28,0,other external,21-24 yrs,19,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,11.512709617614746 +1996,28,0,internal,21-24 yrs,40,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,24.23728370666504 +1970,29,0,MVA,15-17 yrs,100,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,38.05928039550781 +1970,29,0,suicide,15-17 yrs,15,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,5.708892345428467 +1970,29,0,homicide,15-17 yrs,24,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,9.134227752685547 +1970,29,0,other external,15-17 yrs,56,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,21.31319808959961 +1970,29,0,internal,15-17 yrs,76,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,28.9250545501709 +1970,29,0,all,18-20 yrs,394,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,161.68812561035156 +1970,29,0,MVA,18-20 yrs,181,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,74.278045654296875 +1970,29,0,suicide,18-20 yrs,23,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,9.43864631652832 +1970,29,0,homicide,18-20 yrs,42,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,17.235790252685547 +1970,29,0,other external,18-20 yrs,57,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,23.391427993774414 +1970,29,0,internal,18-20 yrs,91,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,37.34421157836914 +1970,29,0,all,21-24 yrs,456,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,163.65965270996094 +1970,29,0,MVA,21-24 yrs,168,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,60.2956657409668 +1970,29,0,suicide,21-24 yrs,25,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,8.972569465637207 +1970,29,0,homicide,21-24 yrs,60,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,21.53416633605957 +1970,29,0,other external,21-24 yrs,65,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,23.32868003845215 +1970,29,0,internal,21-24 yrs,138,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,49.52857971191406 +1971,29,0,MVA,15-17 yrs,119,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,43.94841384887695 +1971,29,0,suicide,15-17 yrs,12,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,4.431772708892822 +1971,29,0,homicide,15-17 yrs,27,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,9.971488952636719 +1971,29,0,other external,15-17 yrs,68,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,25.113380432128906 +1971,29,0,internal,15-17 yrs,74,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,27.329265594482422 +1971,29,0,all,18-20 yrs,341,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,134.32177734375 +1971,29,0,MVA,18-20 yrs,163,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,64.20659637451172 +1971,29,0,suicide,18-20 yrs,19,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,7.484204292297363 +1971,29,0,homicide,18-20 yrs,26,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,10.24154281616211 +1971,29,0,other external,18-20 yrs,50,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,19.695274353027344 +1971,29,0,internal,18-20 yrs,83,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,32.694156646728516 +1971,29,0,all,21-24 yrs,457,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,149.35031127929688 +1971,29,0,MVA,21-24 yrs,177,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,57.84465026855469 +1971,29,0,suicide,21-24 yrs,33,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,10.784595489501953 +1971,29,0,homicide,21-24 yrs,54,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,17.647520065307617 +1971,29,0,other external,21-24 yrs,76,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,24.837249755859375 +1971,29,0,internal,21-24 yrs,117,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,38.23629379272461 +1972,29,0,MVA,15-17 yrs,140,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,50.337440490722656 +1972,29,0,suicide,15-17 yrs,18,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,6.471956729888916 +1972,29,0,homicide,15-17 yrs,28,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,10.067487716674805 +1972,29,0,other external,15-17 yrs,74,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,26.60693359375 +1972,29,0,internal,15-17 yrs,60,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,21.57318878173828 +1972,29,0,all,18-20 yrs,358,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,138.94387817382812 +1972,29,0,MVA,18-20 yrs,188,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,72.964935302734375 +1972,29,0,suicide,18-20 yrs,16,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,6.209782123565674 +1972,29,0,homicide,18-20 yrs,42,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,16.300678253173828 +1972,29,0,other external,18-20 yrs,52,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,20.181791305541992 +1972,29,0,internal,18-20 yrs,60,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,23.28668212890625 +1972,29,0,all,21-24 yrs,396,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,130.26187133789062 +1972,29,0,MVA,21-24 yrs,142,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,46.71006393432617 +1972,29,0,suicide,21-24 yrs,38,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,12.499876976013184 +1972,29,0,homicide,21-24 yrs,52,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,17.10509490966797 +1972,29,0,other external,21-24 yrs,68,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,22.368200302124023 +1972,29,0,internal,21-24 yrs,96,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,31.578636169433594 +1973,29,0,MVA,15-17 yrs,137,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,48.4167366027832 +1973,29,0,suicide,15-17 yrs,8,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,2.8272547721862793 +1973,29,0,homicide,15-17 yrs,27,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,9.541984558105469 +1973,29,0,other external,15-17 yrs,58,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,20.497596740722656 +1973,29,0,internal,15-17 yrs,74,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,26.15210723876953 +1973,29,0,all,18-20 yrs,396,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,150.02784729003906 +1973,29,0,MVA,18-20 yrs,182,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,68.95219421386719 +1973,29,0,suicide,18-20 yrs,32,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,12.123462677001953 +1973,29,0,homicide,18-20 yrs,39,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,14.775469779968262 +1973,29,0,other external,18-20 yrs,66,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,25.004640579223633 +1973,29,0,internal,18-20 yrs,77,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,29.172080993652344 +1973,29,0,all,21-24 yrs,444,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,143.48963928222656 +1973,29,0,MVA,21-24 yrs,152,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,49.122581481933594 +1973,29,0,suicide,21-24 yrs,39,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,12.603819847106934 +1973,29,0,homicide,21-24 yrs,67,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,21.6527156829834 +1973,29,0,other external,21-24 yrs,76,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,24.561290740966797 +1973,29,0,internal,21-24 yrs,110,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,35.54923629760742 +1974,29,0,MVA,15-17 yrs,99,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,34.660953521728516 +1974,29,0,suicide,15-17 yrs,15,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,5.251659393310547 +1974,29,0,homicide,15-17 yrs,28,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,9.80309772491455 +1974,29,0,other external,15-17 yrs,61,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,21.356748580932617 +1974,29,0,internal,15-17 yrs,65,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,22.757190704345703 +1974,29,0,all,18-20 yrs,325,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,119.51121520996094 +1974,29,0,MVA,18-20 yrs,125,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,45.96585464477539 +1974,29,0,suicide,18-20 yrs,23,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,8.457716941833496 +1974,29,0,homicide,18-20 yrs,43,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,15.81225299835205 +1974,29,0,other external,18-20 yrs,71,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,26.108604431152344 +1974,29,0,internal,18-20 yrs,63,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,23.166790008544922 +1974,29,0,all,21-24 yrs,454,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,143.81971740722656 +1974,29,0,MVA,21-24 yrs,121,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,38.33080291748047 +1974,29,0,suicide,21-24 yrs,55,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,17.423093795776367 +1974,29,0,homicide,21-24 yrs,73,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,23.12519645690918 +1974,29,0,other external,21-24 yrs,83,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,26.293031692504883 +1974,29,0,internal,21-24 yrs,122,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,38.647586822509766 +1975,29,0,MVA,15-17 yrs,88,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,30.755895614624023 +1975,29,0,suicide,15-17 yrs,19,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,6.640477657318115 +1975,29,0,homicide,15-17 yrs,32,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,11.183961868286133 +1975,29,0,other external,15-17 yrs,62,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,21.668926239013672 +1975,29,0,internal,15-17 yrs,77,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,26.911409378051758 +1975,29,0,all,18-20 yrs,384,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,138.40032958984375 +1975,29,0,MVA,18-20 yrs,148,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,53.34178924560547 +1975,29,0,suicide,18-20 yrs,25,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,9.010437965393066 +1975,29,0,homicide,18-20 yrs,54,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,19.46254539489746 +1975,29,0,other external,18-20 yrs,67,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,24.147972106933594 +1975,29,0,internal,18-20 yrs,90,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,32.43757629394531 +1975,29,0,all,21-24 yrs,436,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,134.95693969726562 +1975,29,0,MVA,21-24 yrs,134,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,41.47759246826172 +1975,29,0,suicide,21-24 yrs,37,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,11.452768325805664 +1975,29,0,homicide,21-24 yrs,82,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,25.381811141967773 +1975,29,0,other external,21-24 yrs,69,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,21.357864379882812 +1975,29,0,internal,21-24 yrs,114,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,35.28690719604492 +1976,29,0,MVA,15-17 yrs,132,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,45.798667907714844 +1976,29,0,suicide,15-17 yrs,20,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,6.939191818237305 +1976,29,0,homicide,15-17 yrs,28,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,9.714868545532227 +1976,29,0,other external,15-17 yrs,54,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,18.73581886291504 +1976,29,0,internal,15-17 yrs,63,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,21.85845375061035 +1976,29,0,all,18-20 yrs,386,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,136.3634796142578 +1976,29,0,MVA,18-20 yrs,171,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,60.409725189208984 +1976,29,0,suicide,18-20 yrs,29,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,10.244924545288086 +1976,29,0,homicide,18-20 yrs,60,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,21.196395874023438 +1976,29,0,other external,18-20 yrs,47,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,16.603843688964844 +1976,29,0,internal,18-20 yrs,79,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,27.908586502075195 +1976,29,0,all,21-24 yrs,465,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,140.65122985839844 +1976,29,0,MVA,21-24 yrs,159,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,48.09364700317383 +1976,29,0,suicide,21-24 yrs,45,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,13.611409187316895 +1976,29,0,homicide,21-24 yrs,68,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,20.56835174560547 +1976,29,0,other external,21-24 yrs,81,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,24.50053596496582 +1976,29,0,internal,21-24 yrs,112,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,33.87728500366211 +1977,29,0,MVA,15-17 yrs,123,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,42.683433532714844 +1977,29,0,suicide,15-17 yrs,15,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,5.205296993255615 +1977,29,0,homicide,15-17 yrs,22,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,7.634435653686523 +1977,29,0,other external,15-17 yrs,40,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,13.880791664123535 +1977,29,0,internal,15-17 yrs,71,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,24.638404846191406 +1977,29,0,all,18-20 yrs,374,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,131.15904235839844 +1977,29,0,MVA,18-20 yrs,142,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,49.7983512878418 +1977,29,0,suicide,18-20 yrs,35,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,12.27424144744873 +1977,29,0,homicide,18-20 yrs,61,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,21.392250061035156 +1977,29,0,other external,18-20 yrs,66,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,23.14571189880371 +1977,29,0,internal,18-20 yrs,70,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,24.54848289489746 +1977,29,0,all,21-24 yrs,478,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,141.9501190185547 +1977,29,0,MVA,21-24 yrs,166,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,49.296485900878906 +1977,29,0,suicide,21-24 yrs,65,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,19.302841186523438 +1977,29,0,homicide,21-24 yrs,72,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,21.381608963012695 +1977,29,0,other external,21-24 yrs,59,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,17.521039962768555 +1977,29,0,internal,21-24 yrs,116,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,34.44814682006836 +1978,29,0,MVA,15-17 yrs,119,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,41.6242561340332 +1978,29,0,suicide,15-17 yrs,16,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,5.596538543701172 +1978,29,0,homicide,15-17 yrs,23,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,8.045023918151855 +1978,29,0,other external,15-17 yrs,52,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,18.188749313354492 +1978,29,0,internal,15-17 yrs,47,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,16.43983268737793 +1978,29,0,all,18-20 yrs,386,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,135.46426391601562 +1978,29,0,MVA,18-20 yrs,173,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,60.7132568359375 +1978,29,0,suicide,18-20 yrs,38,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,13.335860252380371 +1978,29,0,homicide,18-20 yrs,43,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,15.09057903289795 +1978,29,0,other external,18-20 yrs,66,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,23.162282943725586 +1978,29,0,internal,18-20 yrs,66,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,23.162282943725586 +1978,29,0,all,21-24 yrs,468,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,136.0227813720703 +1978,29,0,MVA,21-24 yrs,138,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,40.109283447265625 +1978,29,0,suicide,21-24 yrs,55,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,15.985584259033203 +1978,29,0,homicide,21-24 yrs,92,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,26.73952293395996 +1978,29,0,other external,21-24 yrs,94,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,27.320816040039062 +1978,29,0,internal,21-24 yrs,89,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,25.86758041381836 +1979,29,0,MVA,15-17 yrs,129,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,46.22694778442383 +1979,29,0,suicide,15-17 yrs,14,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,5.016878128051758 +1979,29,0,homicide,15-17 yrs,17,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,6.091923713684082 +1979,29,0,other external,15-17 yrs,41,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,14.692286491394043 +1979,29,0,internal,15-17 yrs,57,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,20.425861358642578 +1979,29,0,all,18-20 yrs,406,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,141.72463989257812 +1979,29,0,MVA,18-20 yrs,158,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,55.15392303466797 +1979,29,0,suicide,18-20 yrs,37,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,12.915792465209961 +1979,29,0,homicide,18-20 yrs,68,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,23.737133026123047 +1979,29,0,other external,18-20 yrs,61,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,21.293603897094727 +1979,29,0,internal,18-20 yrs,82,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,28.624189376831055 +1979,29,0,all,21-24 yrs,508,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,145.33511352539062 +1979,29,0,MVA,21-24 yrs,164,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,46.91920852661133 +1979,29,0,suicide,21-24 yrs,62,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,17.737751007080078 +1979,29,0,homicide,21-24 yrs,104,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,29.753644943237305 +1979,29,0,other external,21-24 yrs,81,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,23.173511505126953 +1979,29,0,internal,21-24 yrs,97,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,27.750995635986328 +1980,29,0,MVA,15-17 yrs,127,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,47.390533447265625 +1980,29,0,suicide,15-17 yrs,21,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,7.836230278015137 +1980,29,0,homicide,15-17 yrs,26,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,9.70199966430664 +1980,29,0,other external,15-17 yrs,40,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,14.926153182983398 +1980,29,0,internal,15-17 yrs,52,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,19.40399932861328 +1980,29,0,all,18-20 yrs,413,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,145.59530639648438 +1980,29,0,MVA,18-20 yrs,178,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,62.750518798828125 +1980,29,0,suicide,18-20 yrs,38,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,13.396178245544434 +1980,29,0,homicide,18-20 yrs,59,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,20.799327850341797 +1980,29,0,other external,18-20 yrs,57,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,20.094266891479492 +1980,29,0,internal,18-20 yrs,81,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,28.555009841918945 +1980,29,0,all,21-24 yrs,489,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,138.3290252685547 +1980,29,0,MVA,21-24 yrs,157,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,44.412384033203125 +1980,29,0,suicide,21-24 yrs,57,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,16.12424087524414 +1980,29,0,homicide,21-24 yrs,99,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,28.00526237487793 +1980,29,0,other external,21-24 yrs,67,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,18.95305633544922 +1980,29,0,internal,21-24 yrs,109,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,30.834075927734375 +1981,29,0,MVA,15-17 yrs,82,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,32.32469940185547 +1981,29,0,suicide,15-17 yrs,16,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,6.307258129119873 +1981,29,0,homicide,15-17 yrs,18,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,7.095665454864502 +1981,29,0,other external,15-17 yrs,33,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,13.008719444274902 +1981,29,0,internal,15-17 yrs,42,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.55655288696289 +1981,29,0,all,18-20 yrs,300,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,106.7323226928711 +1981,29,0,MVA,18-20 yrs,140,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,49.808414459228516 +1981,29,0,suicide,18-20 yrs,24,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,8.538585662841797 +1981,29,0,homicide,18-20 yrs,43,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,15.298298835754395 +1981,29,0,other external,18-20 yrs,48,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,17.077171325683594 +1981,29,0,internal,18-20 yrs,45,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.00984764099121 +1981,29,0,all,21-24 yrs,462,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,129.49374389648438 +1981,29,0,MVA,21-24 yrs,139,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,38.96023941040039 +1981,29,0,suicide,21-24 yrs,60,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.81736946105957 +1981,29,0,homicide,21-24 yrs,89,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,24.945764541625977 +1981,29,0,other external,21-24 yrs,75,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,21.021711349487305 +1981,29,0,internal,21-24 yrs,99,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,27.748659133911133 +1982,29,0,MVA,15-17 yrs,81,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,33.83981704711914 +1982,29,0,suicide,15-17 yrs,14,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,5.848857402801514 +1982,29,0,homicide,15-17 yrs,21,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,8.773285865783691 +1982,29,0,other external,15-17 yrs,30,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,12.533265113830566 +1982,29,0,internal,15-17 yrs,61,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,25.48430633544922 +1982,29,0,all,18-20 yrs,305,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,111.9849624633789 +1982,29,0,MVA,18-20 yrs,119,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,43.6924934387207 +1982,29,0,suicide,18-20 yrs,33,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,12.116405487060547 +1982,29,0,homicide,18-20 yrs,50,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,18.358190536499023 +1982,29,0,other external,18-20 yrs,49,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,17.991025924682617 +1982,29,0,internal,18-20 yrs,54,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,19.826845169067383 +1982,29,0,all,21-24 yrs,406,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,113.45694732666016 +1982,29,0,MVA,21-24 yrs,128,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,35.769676208496094 +1982,29,0,suicide,21-24 yrs,48,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,13.413628578186035 +1982,29,0,homicide,21-24 yrs,72,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,20.12044334411621 +1982,29,0,other external,21-24 yrs,60,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,16.76703643798828 +1982,29,0,internal,21-24 yrs,98,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,27.386157989501953 +1983,29,0,MVA,15-17 yrs,66,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,29.02068328857422 +1983,29,0,suicide,15-17 yrs,8,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,3.5176587104797363 +1983,29,0,homicide,15-17 yrs,17,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,7.475024700164795 +1983,29,0,other external,15-17 yrs,27,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,11.872097969055176 +1983,29,0,internal,15-17 yrs,41,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,18.027999877929688 +1983,29,0,all,18-20 yrs,262,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,99.86582946777344 +1983,29,0,MVA,18-20 yrs,115,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,43.83423614501953 +1983,29,0,suicide,18-20 yrs,30,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,11.435018539428711 +1983,29,0,homicide,18-20 yrs,25,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,9.529182434082031 +1983,29,0,other external,18-20 yrs,39,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,14.865524291992188 +1983,29,0,internal,18-20 yrs,53,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,20.201866149902344 +1983,29,0,all,21-24 yrs,392,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,109.2506332397461 +1983,29,0,MVA,21-24 yrs,115,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,32.050567626953125 +1983,29,0,suicide,21-24 yrs,67,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,18.67293930053711 +1983,29,0,homicide,21-24 yrs,73,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,20.345142364501953 +1983,29,0,other external,21-24 yrs,59,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,16.443334579467773 +1983,29,0,internal,21-24 yrs,78,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,21.738645553588867 +1984,29,0,MVA,15-17 yrs,70,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,31.11664390563965 +1984,29,0,suicide,15-17 yrs,16,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,7.112375736236572 +1984,29,0,homicide,15-17 yrs,8,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,3.556187868118286 +1984,29,0,other external,15-17 yrs,29,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,12.891180992126465 +1984,29,0,internal,15-17 yrs,48,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,21.337125778198242 +1984,29,0,all,18-20 yrs,276,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,110.18931579589844 +1984,29,0,MVA,18-20 yrs,129,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,51.501529693603516 +1984,29,0,suicide,18-20 yrs,37,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.771756172180176 +1984,29,0,homicide,18-20 yrs,30,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,11.977099418640137 +1984,29,0,other external,18-20 yrs,27,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,10.779389381408691 +1984,29,0,internal,18-20 yrs,53,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,21.159542083740234 +1984,29,0,all,21-24 yrs,418,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,116.96495819091797 +1984,29,0,MVA,21-24 yrs,145,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,40.57396697998047 +1984,29,0,suicide,21-24 yrs,53,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.830484390258789 +1984,29,0,homicide,21-24 yrs,61,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,17.069047927856445 +1984,29,0,other external,21-24 yrs,52,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.550663948059082 +1984,29,0,internal,21-24 yrs,107,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,29.9407901763916 +1985,29,0,MVA,15-17 yrs,71,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,31.301250457763672 +1985,29,0,suicide,15-17 yrs,27,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,11.903292655944824 +1985,29,0,homicide,15-17 yrs,7,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,3.086038827896118 +1985,29,0,other external,15-17 yrs,26,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,11.462430000305176 +1985,29,0,internal,15-17 yrs,44,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,19.397958755493164 +1985,29,0,all,18-20 yrs,256,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,107.46820068359375 +1985,29,0,MVA,18-20 yrs,110,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,46.17774200439453 +1985,29,0,suicide,18-20 yrs,26,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,10.914738655090332 +1985,29,0,homicide,18-20 yrs,35,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,14.692917823791504 +1985,29,0,other external,18-20 yrs,33,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,13.853322982788086 +1985,29,0,internal,18-20 yrs,52,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,21.829477310180664 +1985,29,0,all,21-24 yrs,415,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,117.91716003417969 +1985,29,0,MVA,21-24 yrs,138,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,39.21100616455078 +1985,29,0,suicide,21-24 yrs,69,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,19.60550308227539 +1985,29,0,homicide,21-24 yrs,60,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,17.048263549804688 +1985,29,0,other external,21-24 yrs,59,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,16.76412582397461 +1985,29,0,internal,21-24 yrs,89,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,25.288257598876953 +1986,29,0,MVA,15-17 yrs,94,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,40.43341064453125 +1986,29,0,suicide,15-17 yrs,18,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,7.742568016052246 +1986,29,0,homicide,15-17 yrs,16,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,6.882282733917236 +1986,29,0,other external,15-17 yrs,40,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,17.205707550048828 +1986,29,0,internal,15-17 yrs,49,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,21.07699203491211 +1986,29,0,all,18-20 yrs,289,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,126.92974853515625 +1986,29,0,MVA,18-20 yrs,144,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,63.24527359008789 +1986,29,0,suicide,18-20 yrs,40,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,17.568130493164062 +1986,29,0,homicide,18-20 yrs,48,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,21.081758499145508 +1986,29,0,other external,18-20 yrs,23,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,10.101675987243652 +1986,29,0,internal,18-20 yrs,34,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,14.93291187286377 +1986,29,0,all,21-24 yrs,419,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,123.22369384765625 +1986,29,0,MVA,21-24 yrs,160,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,47.05439376831055 +1986,29,0,suicide,21-24 yrs,47,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,13.82222843170166 +1986,29,0,homicide,21-24 yrs,64,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,18.821758270263672 +1986,29,0,other external,21-24 yrs,51,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,14.998588562011719 +1986,29,0,internal,21-24 yrs,97,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,28.5267276763916 +1987,29,0,MVA,15-17 yrs,94,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,40.668521881103516 +1987,29,0,suicide,15-17 yrs,28,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,12.114027976989746 +1987,29,0,homicide,15-17 yrs,11,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,4.759082317352295 +1987,29,0,other external,15-17 yrs,24,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,10.383452415466309 +1987,29,0,internal,15-17 yrs,34,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,14.709890365600586 +1987,29,0,all,18-20 yrs,266,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,117.97891998291016 +1987,29,0,MVA,18-20 yrs,101,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,44.7965087890625 +1987,29,0,suicide,18-20 yrs,49,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,21.732959747314453 +1987,29,0,homicide,18-20 yrs,37,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,16.410602569580078 +1987,29,0,other external,18-20 yrs,35,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,15.523542404174805 +1987,29,0,internal,18-20 yrs,44,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,19.515310287475586 +1987,29,0,all,21-24 yrs,384,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,118.46147918701172 +1987,29,0,MVA,21-24 yrs,135,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,41.64661407470703 +1987,29,0,suicide,21-24 yrs,58,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,17.892620086669922 +1987,29,0,homicide,21-24 yrs,71,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,21.903034210205078 +1987,29,0,other external,21-24 yrs,42,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,12.956724166870117 +1987,29,0,internal,21-24 yrs,78,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,24.062488555908203 +1988,29,0,MVA,15-17 yrs,71,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,31.824722290039062 +1988,29,0,suicide,15-17 yrs,22,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,9.861181259155273 +1988,29,0,homicide,15-17 yrs,17,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,7.620003700256348 +1988,29,0,other external,15-17 yrs,27,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,12.1023588180542 +1988,29,0,internal,15-17 yrs,38,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.032949447631836 +1988,29,0,all,18-20 yrs,278,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,122.01759338378906 +1988,29,0,MVA,18-20 yrs,126,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,55.30293655395508 +1988,29,0,suicide,18-20 yrs,41,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.995399475097656 +1988,29,0,homicide,18-20 yrs,36,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.8008394241333 +1988,29,0,other external,18-20 yrs,35,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.361927032470703 +1988,29,0,internal,18-20 yrs,40,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.556488037109375 +1988,29,0,all,21-24 yrs,378,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,122.3233642578125 +1988,29,0,MVA,21-24 yrs,159,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,51.4534797668457 +1988,29,0,suicide,21-24 yrs,47,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.209519386291504 +1988,29,0,homicide,21-24 yrs,43,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,13.915092468261719 +1988,29,0,other external,21-24 yrs,41,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,13.267878532409668 +1988,29,0,internal,21-24 yrs,88,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,28.477397918701172 +1989,29,0,MVA,15-17 yrs,87,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,41.37321090698242 +1989,29,0,suicide,15-17 yrs,21,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,9.986637115478516 +1989,29,0,homicide,15-17 yrs,26,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,12.364407539367676 +1989,29,0,other external,15-17 yrs,22,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,10.462190628051758 +1989,29,0,internal,15-17 yrs,44,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.924381256103516 +1989,29,0,all,18-20 yrs,280,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,119.66067504882812 +1989,29,0,MVA,18-20 yrs,116,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,49.573707580566406 +1989,29,0,suicide,18-20 yrs,38,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,16.23966407775879 +1989,29,0,homicide,18-20 yrs,47,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.085899353027344 +1989,29,0,other external,18-20 yrs,31,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,13.248146057128906 +1989,29,0,internal,18-20 yrs,48,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.51325798034668 +1989,29,0,all,21-24 yrs,345,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,117.71047973632812 +1989,29,0,MVA,21-24 yrs,127,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,43.33110427856445 +1989,29,0,suicide,21-24 yrs,51,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,17.400680541992188 +1989,29,0,homicide,21-24 yrs,61,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.812578201293945 +1989,29,0,other external,21-24 yrs,39,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,13.306402206420898 +1989,29,0,internal,21-24 yrs,67,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,22.859716415405273 +1990,29,0,MVA,15-17 yrs,85,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,41.251121520996094 +1990,29,0,suicide,15-17 yrs,13,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,6.308995246887207 +1990,29,0,homicide,15-17 yrs,22,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,10.67676067352295 +1990,29,0,other external,15-17 yrs,22,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,10.67676067352295 +1990,29,0,internal,15-17 yrs,26,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,12.617990493774414 +1990,29,0,all,18-20 yrs,307,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,130.8883819580078 +1990,29,0,MVA,18-20 yrs,124,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,52.866966247558594 +1990,29,0,suicide,18-20 yrs,42,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,17.906553268432617 +1990,29,0,homicide,18-20 yrs,48,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,20.464632034301758 +1990,29,0,other external,18-20 yrs,32,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,13.643088340759277 +1990,29,0,internal,18-20 yrs,61,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,26.007137298583984 +1990,29,0,all,21-24 yrs,335,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,117.81006622314453 +1990,29,0,MVA,21-24 yrs,133,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,46.77235412597656 +1990,29,0,suicide,21-24 yrs,34,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,11.956842422485352 +1990,29,0,homicide,21-24 yrs,55,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,19.341951370239258 +1990,29,0,other external,21-24 yrs,36,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,12.660186767578125 +1990,29,0,internal,21-24 yrs,77,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,27.078731536865234 +1991,29,0,MVA,15-17 yrs,71,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,34.30067825317383 +1991,29,0,suicide,15-17 yrs,25,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,12.077703475952148 +1991,29,0,homicide,15-17 yrs,42,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,20.29054069519043 +1991,29,0,other external,15-17 yrs,23,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.111486434936523 +1991,29,0,internal,15-17 yrs,34,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,16.425676345825195 +1991,29,0,all,18-20 yrs,304,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,134.84620666503906 +1991,29,0,MVA,18-20 yrs,138,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,61.21308517456055 +1991,29,0,suicide,18-20 yrs,32,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,14.194337844848633 +1991,29,0,homicide,18-20 yrs,57,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,25.28366470336914 +1991,29,0,other external,18-20 yrs,27,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.976472854614258 +1991,29,0,internal,18-20 yrs,50,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,22.178653717041016 +1991,29,0,all,21-24 yrs,356,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,124.7511978149414 +1991,29,0,MVA,21-24 yrs,128,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,44.85436248779297 +1991,29,0,suicide,21-24 yrs,45,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,15.769112586975098 +1991,29,0,homicide,21-24 yrs,81,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,28.384401321411133 +1991,29,0,other external,21-24 yrs,32,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.213590621948242 +1991,29,0,internal,21-24 yrs,70,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,24.52972984313965 +1992,29,0,MVA,15-17 yrs,77,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,36.22557830810547 +1992,29,0,suicide,15-17 yrs,22,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,10.350165367126465 +1992,29,0,homicide,15-17 yrs,40,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,18.8184814453125 +1992,29,0,other external,15-17 yrs,28,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.172937393188477 +1992,29,0,internal,15-17 yrs,36,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,16.936634063720703 +1992,29,0,all,18-20 yrs,266,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,124.08221435546875 +1992,29,0,MVA,18-20 yrs,75,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,34.9855842590332 +1992,29,0,suicide,18-20 yrs,38,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,17.726030349731445 +1992,29,0,homicide,18-20 yrs,86,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,40.11680603027344 +1992,29,0,other external,18-20 yrs,29,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.527759552001953 +1992,29,0,internal,18-20 yrs,38,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,17.726030349731445 +1992,29,0,all,21-24 yrs,367,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,126.00555419921875 +1992,29,0,MVA,21-24 yrs,116,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,39.827369689941406 +1992,29,0,suicide,21-24 yrs,44,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,15.106932640075684 +1992,29,0,homicide,21-24 yrs,91,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,31.243885040283203 +1992,29,0,other external,21-24 yrs,39,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.390235900878906 +1992,29,0,internal,21-24 yrs,77,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,26.4371337890625 +1993,29,0,MVA,15-17 yrs,81,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,37.195377349853516 +1993,29,0,suicide,15-17 yrs,19,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,8.724841117858887 +1993,29,0,homicide,15-17 yrs,58,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,26.633726119995117 +1993,29,0,other external,15-17 yrs,27,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,12.398458480834961 +1993,29,0,internal,15-17 yrs,41,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,18.827289581298828 +1993,29,0,all,18-20 yrs,283,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,134.04000854492188 +1993,29,0,MVA,18-20 yrs,97,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,45.94303894042969 +1993,29,0,suicide,18-20 yrs,37,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,17.5246639251709 +1993,29,0,homicide,18-20 yrs,79,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,37.41752624511719 +1993,29,0,other external,18-20 yrs,29,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,13.73554801940918 +1993,29,0,internal,18-20 yrs,41,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,19.41922378540039 +1993,29,0,all,21-24 yrs,373,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,126.97396850585938 +1993,29,0,MVA,21-24 yrs,104,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,35.402931213378906 +1993,29,0,suicide,21-24 yrs,51,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,17.361051559448242 +1993,29,0,homicide,21-24 yrs,89,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,30.296737670898438 +1993,29,0,other external,21-24 yrs,48,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,16.339813232421875 +1993,29,0,internal,21-24 yrs,81,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,27.573434829711914 +1994,29,0,MVA,15-17 yrs,102,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,45.140132904052734 +1994,29,0,suicide,15-17 yrs,17,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,7.523355484008789 +1994,29,0,homicide,15-17 yrs,61,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,26.995569229125977 +1994,29,0,other external,15-17 yrs,34,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,15.046710968017578 +1994,29,0,internal,15-17 yrs,28,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,12.391408920288086 +1994,29,0,all,18-20 yrs,309,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,145.33380126953125 +1994,29,0,MVA,18-20 yrs,143,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,67.2580337524414 +1994,29,0,suicide,18-20 yrs,40,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,18.81343650817871 +1994,29,0,homicide,18-20 yrs,61,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,28.69049072265625 +1994,29,0,other external,18-20 yrs,23,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,10.817726135253906 +1994,29,0,internal,18-20 yrs,42,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,19.754108428955078 +1994,29,0,all,21-24 yrs,377,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,129.9964141845703 +1994,29,0,MVA,21-24 yrs,103,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,35.51626205444336 +1994,29,0,suicide,21-24 yrs,51,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,17.585721969604492 +1994,29,0,homicide,21-24 yrs,103,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,35.51626205444336 +1994,29,0,other external,21-24 yrs,37,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,12.758268356323242 +1994,29,0,internal,21-24 yrs,83,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,28.61989974975586 +1995,29,0,MVA,15-17 yrs,87,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,36.96355056762695 +1995,29,0,suicide,15-17 yrs,23,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,9.77197265625 +1995,29,0,homicide,15-17 yrs,42,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,17.844472885131836 +1995,29,0,other external,15-17 yrs,22,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,9.347105026245117 +1995,29,0,internal,15-17 yrs,42,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,17.844472885131836 +1995,29,0,all,18-20 yrs,285,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,130.6662139892578 +1995,29,0,MVA,18-20 yrs,106,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,48.598663330078125 +1995,29,0,suicide,18-20 yrs,40,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,18.3391170501709 +1995,29,0,homicide,18-20 yrs,58,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,26.591720581054688 +1995,29,0,other external,18-20 yrs,23,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,10.544992446899414 +1995,29,0,internal,18-20 yrs,58,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,26.591720581054688 +1995,29,0,all,21-24 yrs,367,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,130.47311401367188 +1995,29,0,MVA,21-24 yrs,113,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,40.17292022705078 +1995,29,0,suicide,21-24 yrs,62,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,22.041780471801758 +1995,29,0,homicide,21-24 yrs,68,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,24.174856185913086 +1995,29,0,other external,21-24 yrs,38,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,13.509477615356445 +1995,29,0,internal,21-24 yrs,86,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,30.574081420898438 +1996,29,0,MVA,15-17 yrs,100,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,41.11689758300781 +1996,29,0,suicide,15-17 yrs,21,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,8.634549140930176 +1996,29,0,homicide,15-17 yrs,32,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,13.157407760620117 +1996,29,0,other external,15-17 yrs,23,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,9.456887245178223 +1996,29,0,internal,15-17 yrs,35,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,14.390914916992188 +1996,29,0,all,18-20 yrs,265,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,119.09041595458984 +1996,29,0,MVA,18-20 yrs,107,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,48.08556365966797 +1996,29,0,suicide,18-20 yrs,43,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,19.324106216430664 +1996,29,0,homicide,18-20 yrs,47,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.12169647216797 +1996,29,0,other external,18-20 yrs,23,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,10.336149215698242 +1996,29,0,internal,18-20 yrs,45,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,20.222900390625 +1996,29,0,all,21-24 yrs,344,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,125.96349334716797 +1996,29,0,MVA,21-24 yrs,114,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,41.743717193603516 +1996,29,0,suicide,21-24 yrs,60,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.97037696838379 +1996,29,0,homicide,21-24 yrs,58,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.2380313873291 +1996,29,0,other external,21-24 yrs,46,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,16.843955993652344 +1996,29,0,internal,21-24 yrs,66,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,24.16741371154785 +1970,30,0,MVA,15-17 yrs,27,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,59.693572998046875 +1970,30,0,suicide,15-17 yrs,4,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,8.84349250793457 +1970,30,0,homicide,15-17 yrs,0,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,0 +1970,30,0,other external,15-17 yrs,21,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,46.4283332824707 +1970,30,0,internal,15-17 yrs,10,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,22.10873031616211 +1970,30,0,all,18-20 yrs,75,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,205.73309326171875 +1970,30,0,MVA,18-20 yrs,42,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,115.21053314208984 +1970,30,0,suicide,18-20 yrs,3,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,8.229323387145996 +1970,30,0,homicide,18-20 yrs,4,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,10.972432136535645 +1970,30,0,other external,18-20 yrs,18,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,49.37594223022461 +1970,30,0,internal,18-20 yrs,8,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,21.94486427307129 +1970,30,0,all,21-24 yrs,78,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,193.88516235351562 +1970,30,0,MVA,21-24 yrs,39,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,96.94258117675781 +1970,30,0,suicide,21-24 yrs,6,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,14.9142427444458 +1970,30,0,homicide,21-24 yrs,3,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,7.4571213722229 +1970,30,0,other external,21-24 yrs,13,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,32.31419372558594 +1970,30,0,internal,21-24 yrs,17,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,42.257022857666016 +1971,30,0,MVA,15-17 yrs,24,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,51.82130432128906 +1971,30,0,suicide,15-17 yrs,3,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,6.477663040161133 +1971,30,0,homicide,15-17 yrs,1,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,2.1592209339141846 +1971,30,0,other external,15-17 yrs,14,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,30.229093551635742 +1971,30,0,internal,15-17 yrs,12,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,25.91065216064453 +1971,30,0,all,18-20 yrs,74,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,190.8938446044922 +1971,30,0,MVA,18-20 yrs,40,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,103.18586730957031 +1971,30,0,suicide,18-20 yrs,8,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,20.63717269897461 +1971,30,0,homicide,18-20 yrs,3,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,7.7389397621154785 +1971,30,0,other external,18-20 yrs,14,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,36.11505126953125 +1971,30,0,internal,18-20 yrs,9,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,23.216819763183594 +1971,30,0,all,21-24 yrs,95,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,207.24258422851562 +1971,30,0,MVA,21-24 yrs,54,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,117.8010482788086 +1971,30,0,suicide,21-24 yrs,9,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,19.633508682250977 +1971,30,0,homicide,21-24 yrs,3,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,6.5445027351379395 +1971,30,0,other external,21-24 yrs,17,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,37.085514068603516 +1971,30,0,internal,21-24 yrs,12,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,26.178010940551758 +1972,30,0,MVA,15-17 yrs,38,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,80.345062255859375 +1972,30,0,suicide,15-17 yrs,0,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,0 +1972,30,0,homicide,15-17 yrs,2,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,4.228687286376953 +1972,30,0,other external,15-17 yrs,12,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,25.37212371826172 +1972,30,0,internal,15-17 yrs,14,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,29.600811004638672 +1972,30,0,all,18-20 yrs,82,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,205.3439483642578 +1972,30,0,MVA,18-20 yrs,50,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,125.20972442626953 +1972,30,0,suicide,18-20 yrs,6,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,15.025167465209961 +1972,30,0,homicide,18-20 yrs,2,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,5.008388996124268 +1972,30,0,other external,18-20 yrs,12,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,30.050334930419922 +1972,30,0,internal,18-20 yrs,12,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,30.050334930419922 +1972,30,0,all,21-24 yrs,96,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,203.015625 +1972,30,0,MVA,21-24 yrs,54,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,114.1962890625 +1972,30,0,suicide,21-24 yrs,16,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,33.8359375 +1972,30,0,homicide,21-24 yrs,8,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,16.91796875 +1972,30,0,other external,21-24 yrs,12,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,25.376953125 +1972,30,0,internal,21-24 yrs,6,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,12.6884765625 +1973,30,0.5041095614433289,MVA,15-17 yrs,25,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,51.81132507324219 +1973,30,0.5041095614433289,suicide,15-17 yrs,7,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.507170677185059 +1973,30,0.5041095614433289,homicide,15-17 yrs,1,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,2.072453022003174 +1973,30,0.5041095614433289,other external,15-17 yrs,24,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,49.73887252807617 +1973,30,0.5041095614433289,internal,15-17 yrs,8,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,16.57962417602539 +1973,30,0.5041095614433289,all,18-20 yrs,72,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,177.28750610351562 +1973,30,0.5041095614433289,MVA,18-20 yrs,41,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,100.95538330078125 +1973,30,0.5041095614433289,suicide,18-20 yrs,6,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.773958206176758 +1973,30,0.5041095614433289,homicide,18-20 yrs,0,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,0 +1973,30,0.5041095614433289,other external,18-20 yrs,19,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,46.784202575683594 +1973,30,0.5041095614433289,internal,18-20 yrs,6,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.773958206176758 +1973,30,0.5041095614433289,all,21-24 yrs,95,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,193.289794921875 +1973,30,0.5041095614433289,MVA,21-24 yrs,40,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,81.38517761230469 +1973,30,0.5041095614433289,suicide,21-24 yrs,8,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,16.277034759521484 +1973,30,0.5041095614433289,homicide,21-24 yrs,9,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,18.311664581298828 +1973,30,0.5041095614433289,other external,21-24 yrs,25,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,50.8657341003418 +1973,30,0.5041095614433289,internal,21-24 yrs,13,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,26.45018196105957 +1974,30,1,MVA,15-17 yrs,23,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,46.84699249267578 +1974,30,1,suicide,15-17 yrs,4,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,8.147303581237793 +1974,30,1,homicide,15-17 yrs,2,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,4.0736517906188965 +1974,30,1,other external,15-17 yrs,18,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,36.662864685058594 +1974,30,1,internal,15-17 yrs,13,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,26.478734970092773 +1974,30,1,all,18-20 yrs,103,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,248.11505126953125 +1974,30,1,MVA,18-20 yrs,47,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,113.21754455566406 +1974,30,1,suicide,18-20 yrs,10,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,24.08884048461914 +1974,30,1,homicide,18-20 yrs,5,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,12.04442024230957 +1974,30,1,other external,18-20 yrs,25,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,60.22209930419922 +1974,30,1,internal,18-20 yrs,16,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,38.542144775390625 +1974,30,1,all,21-24 yrs,95,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,188.52572631835938 +1974,30,1,MVA,21-24 yrs,38,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,75.41029357910156 +1974,30,1,suicide,21-24 yrs,14,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,27.782739639282227 +1974,30,1,homicide,21-24 yrs,1,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,1.9844813346862793 +1974,30,1,other external,21-24 yrs,27,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,53.580997467041016 +1974,30,1,internal,21-24 yrs,15,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,29.76721954345703 +1975,30,1,MVA,15-17 yrs,18,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,36.404823303222656 +1975,30,1,suicide,15-17 yrs,10,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,20.22490119934082 +1975,30,1,homicide,15-17 yrs,0,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,0 +1975,30,1,other external,15-17 yrs,26,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,52.58474349975586 +1975,30,1,internal,15-17 yrs,8,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,16.179920196533203 +1975,30,1,all,18-20 yrs,93,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,217.31002807617188 +1975,30,1,MVA,18-20 yrs,45,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,105.15001678466797 +1975,30,1,suicide,18-20 yrs,3,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,7.010000705718994 +1975,30,1,homicide,18-20 yrs,6,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,14.020001411437988 +1975,30,1,other external,18-20 yrs,24,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,56.08000564575195 +1975,30,1,internal,18-20 yrs,15,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,35.05000305175781 +1975,30,1,all,21-24 yrs,92,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,175.63955688476562 +1975,30,1,MVA,21-24 yrs,45,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,85.91065216064453 +1975,30,1,suicide,21-24 yrs,9,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,17.182130813598633 +1975,30,1,homicide,21-24 yrs,5,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,9.545628547668457 +1975,30,1,other external,21-24 yrs,20,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,38.18251419067383 +1975,30,1,internal,21-24 yrs,13,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,24.818632125854492 +1976,30,1,MVA,15-17 yrs,29,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,58.562198638916016 +1976,30,1,suicide,15-17 yrs,6,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,12.116316795349121 +1976,30,1,homicide,15-17 yrs,0,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,0 +1976,30,1,other external,15-17 yrs,15,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,30.29079246520996 +1976,30,1,internal,15-17 yrs,7,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,14.135703086853027 +1976,30,1,all,18-20 yrs,94,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,214.78350830078125 +1976,30,1,MVA,18-20 yrs,45,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,102.82189178466797 +1976,30,1,suicide,18-20 yrs,10,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,22.849308013916016 +1976,30,1,homicide,18-20 yrs,4,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,9.139723777770996 +1976,30,1,other external,18-20 yrs,20,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,45.69861602783203 +1976,30,1,internal,18-20 yrs,15,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,34.273963928222656 +1976,30,1,all,21-24 yrs,88,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,162.9871063232422 +1976,30,1,MVA,21-24 yrs,40,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,74.085052490234375 +1976,30,1,suicide,21-24 yrs,15,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,27.781892776489258 +1976,30,1,homicide,21-24 yrs,2,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,3.7042524814605713 +1976,30,1,other external,21-24 yrs,19,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,35.190399169921875 +1976,30,1,internal,21-24 yrs,12,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,22.225515365600586 +1977,30,1,MVA,15-17 yrs,45,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,90.88338470458984 +1977,30,1,suicide,15-17 yrs,5,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,10.098154067993164 +1977,30,1,homicide,15-17 yrs,3,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,6.058892250061035 +1977,30,1,other external,15-17 yrs,22,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,44.43187713623047 +1977,30,1,internal,15-17 yrs,10,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,20.196308135986328 +1977,30,1,all,18-20 yrs,92,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,206.0701141357422 +1977,30,1,MVA,18-20 yrs,51,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,114.2345199584961 +1977,30,1,suicide,18-20 yrs,15,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,33.598388671875 +1977,30,1,homicide,18-20 yrs,2,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,4.479784965515137 +1977,30,1,other external,18-20 yrs,18,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,40.31806564331055 +1977,30,1,internal,18-20 yrs,6,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,13.43935489654541 +1977,30,1,all,21-24 yrs,96,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,173.46994018554688 +1977,30,1,MVA,21-24 yrs,48,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,86.73497009277344 +1977,30,1,suicide,21-24 yrs,11,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,19.87676429748535 +1977,30,1,homicide,21-24 yrs,8,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,14.455828666687012 +1977,30,1,other external,21-24 yrs,18,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,32.52561569213867 +1977,30,1,internal,21-24 yrs,11,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,19.87676429748535 +1978,30,1,MVA,15-17 yrs,24,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,48.98958969116211 +1978,30,1,suicide,15-17 yrs,7,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,14.288630485534668 +1978,30,1,homicide,15-17 yrs,1,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,2.0412328243255615 +1978,30,1,other external,15-17 yrs,14,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,28.577260971069336 +1978,30,1,internal,15-17 yrs,8,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,16.329862594604492 +1978,30,1,all,18-20 yrs,80,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,177.36000061035156 +1978,30,1,MVA,18-20 yrs,39,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,86.46299743652344 +1978,30,1,suicide,18-20 yrs,8,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,17.736000061035156 +1978,30,1,homicide,18-20 yrs,2,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,4.434000015258789 +1978,30,1,other external,18-20 yrs,16,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,35.47200012207031 +1978,30,1,internal,18-20 yrs,15,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,33.255001068115234 +1978,30,1,all,21-24 yrs,102,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,177.16946411132812 +1978,30,1,MVA,21-24 yrs,44,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,76.42604064941406 +1978,30,1,suicide,21-24 yrs,15,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,26.054332733154297 +1978,30,1,homicide,21-24 yrs,5,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,8.68477725982666 +1978,30,1,other external,21-24 yrs,26,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,45.16084289550781 +1978,30,1,internal,21-24 yrs,12,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,20.84346580505371 +1979,30,0.6680411696434021,MVA,15-17 yrs,37,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,78.76194763183594 +1979,30,0.6680411696434021,suicide,15-17 yrs,7,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,14.900909423828125 +1979,30,0.6680411696434021,homicide,15-17 yrs,3,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,6.386103630065918 +1979,30,0.6680411696434021,other external,15-17 yrs,13,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,27.67311668395996 +1979,30,0.6680411696434021,internal,15-17 yrs,10,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,21.287012100219727 +1979,30,0.6680411696434021,all,18-20 yrs,89,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,198.3773193359375 +1979,30,0.6680411696434021,MVA,18-20 yrs,61,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,135.9664764404297 +1979,30,0.6680411696434021,suicide,18-20 yrs,5,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,11.144793510437012 +1979,30,0.6680411696434021,homicide,18-20 yrs,5,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,11.144793510437012 +1979,30,0.6680411696434021,other external,18-20 yrs,10,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,22.289587020874023 +1979,30,0.6680411696434021,internal,18-20 yrs,8,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,17.831668853759766 +1979,30,0.6680411696434021,all,21-24 yrs,110,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,187.05892944335938 +1979,30,0.6680411696434021,MVA,21-24 yrs,53,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,90.128387451171875 +1979,30,0.6680411696434021,suicide,21-24 yrs,11,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,18.70589256286621 +1979,30,0.6680411696434021,homicide,21-24 yrs,9,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,15.304821014404297 +1979,30,0.6680411696434021,other external,21-24 yrs,24,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,40.8128547668457 +1979,30,0.6680411696434021,internal,21-24 yrs,13,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,22.106964111328125 +1980,30,0.6707993149757385,MVA,15-17 yrs,29,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,65.6435317993164 +1980,30,0.6707993149757385,suicide,15-17 yrs,4,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,9.054280281066895 +1980,30,0.6707993149757385,homicide,15-17 yrs,2,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,4.527140140533447 +1980,30,0.6707993149757385,other external,15-17 yrs,13,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,29.426410675048828 +1980,30,0.6707993149757385,internal,15-17 yrs,7,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,15.844990730285645 +1980,30,0.6707993149757385,all,18-20 yrs,112,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,248.4031219482422 +1980,30,0.6707993149757385,MVA,18-20 yrs,58,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,128.6373291015625 +1980,30,0.6707993149757385,suicide,18-20 yrs,15,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,33.26827621459961 +1980,30,0.6707993149757385,homicide,18-20 yrs,6,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,13.307310104370117 +1980,30,0.6707993149757385,other external,18-20 yrs,18,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,39.921932220458984 +1980,30,0.6707993149757385,internal,18-20 yrs,15,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,33.26827621459961 +1980,30,0.6707993149757385,all,21-24 yrs,88,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,149.75665283203125 +1980,30,0.6707993149757385,MVA,21-24 yrs,39,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,66.36942291259766 +1980,30,0.6707993149757385,suicide,21-24 yrs,11,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,18.719581604003906 +1980,30,0.6707993149757385,homicide,21-24 yrs,4,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,6.807120323181152 +1980,30,0.6707993149757385,other external,21-24 yrs,18,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,30.632041931152344 +1980,30,0.6707993149757385,internal,21-24 yrs,16,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,27.22848129272461 +1981,30,0.6678851842880249,MVA,15-17 yrs,22,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,52.764122009277344 +1981,30,0.6678851842880249,suicide,15-17 yrs,6,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,14.390214920043945 +1981,30,0.6678851842880249,homicide,15-17 yrs,2,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,4.796738147735596 +1981,30,0.6678851842880249,other external,15-17 yrs,4,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,9.593476295471191 +1981,30,0.6678851842880249,internal,15-17 yrs,10,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,23.98369026184082 +1981,30,0.6678851842880249,all,18-20 yrs,98,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,218.4379425048828 +1981,30,0.6678851842880249,MVA,18-20 yrs,62,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,138.1954345703125 +1981,30,0.6678851842880249,suicide,18-20 yrs,10,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,22.289587020874023 +1981,30,0.6678851842880249,homicide,18-20 yrs,0,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,0 +1981,30,0.6678851842880249,other external,18-20 yrs,20,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,44.57917404174805 +1981,30,0.6678851842880249,internal,18-20 yrs,6,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,13.373751640319824 +1981,30,0.6678851842880249,all,21-24 yrs,120,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,207.3470001220703 +1981,30,0.6678851842880249,MVA,21-24 yrs,52,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,89.8503646850586 +1981,30,0.6678851842880249,suicide,21-24 yrs,22,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,38.013614654541016 +1981,30,0.6678851842880249,homicide,21-24 yrs,6,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,10.367349624633789 +1981,30,0.6678851842880249,other external,21-24 yrs,14,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,24.19048309326172 +1981,30,0.6678851842880249,internal,21-24 yrs,26,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,44.9251823425293 +1982,30,0.6753487586975098,MVA,15-17 yrs,32,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,80.82032775878906 +1982,30,0.6753487586975098,suicide,15-17 yrs,4,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,10.102540969848633 +1982,30,0.6753487586975098,homicide,15-17 yrs,2,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,5.051270484924316 +1982,30,0.6753487586975098,other external,15-17 yrs,18,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,45.46143341064453 +1982,30,0.6753487586975098,internal,15-17 yrs,8,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,20.205081939697266 +1982,30,0.6753487586975098,all,18-20 yrs,78,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,176.35487365722656 +1982,30,0.6753487586975098,MVA,18-20 yrs,44,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,99.48223876953125 +1982,30,0.6753487586975098,suicide,18-20 yrs,6,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,13.565759658813477 +1982,30,0.6753487586975098,homicide,18-20 yrs,6,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,13.565759658813477 +1982,30,0.6753487586975098,other external,18-20 yrs,14,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,31.653440475463867 +1982,30,0.6753487586975098,internal,18-20 yrs,8,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,18.08768081665039 +1982,30,0.6753487586975098,all,21-24 yrs,90,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,158.3197021484375 +1982,30,0.6753487586975098,MVA,21-24 yrs,46,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,80.91896057128906 +1982,30,0.6753487586975098,suicide,21-24 yrs,14,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,24.62750816345215 +1982,30,0.6753487586975098,homicide,21-24 yrs,0,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,0 +1982,30,0.6753487586975098,other external,21-24 yrs,10,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,17.59107780456543 +1982,30,0.6753487586975098,internal,21-24 yrs,20,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,35.18215560913086 +1983,30,0.6863695979118347,MVA,15-17 yrs,18,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,47.05513381958008 +1983,30,0.6863695979118347,suicide,15-17 yrs,4,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,10.456696510314941 +1983,30,0.6863695979118347,homicide,15-17 yrs,1,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,2.6141741275787354 +1983,30,0.6863695979118347,other external,15-17 yrs,6,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,15.685044288635254 +1983,30,0.6863695979118347,internal,15-17 yrs,7,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,18.299219131469727 +1983,30,0.6863695979118347,all,18-20 yrs,64,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,149.9390869140625 +1983,30,0.6863695979118347,MVA,18-20 yrs,34,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,79.65514373779297 +1983,30,0.6863695979118347,suicide,18-20 yrs,7,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,16.399587631225586 +1983,30,0.6863695979118347,homicide,18-20 yrs,1,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,2.3427982330322266 +1983,30,0.6863695979118347,other external,18-20 yrs,14,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,32.79917526245117 +1983,30,0.6863695979118347,internal,18-20 yrs,8,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,18.742385864257812 +1983,30,0.6863695979118347,all,21-24 yrs,104,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,185.744140625 +1983,30,0.6863695979118347,MVA,21-24 yrs,53,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,94.65807342529297 +1983,30,0.6863695979118347,suicide,21-24 yrs,15,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,26.790019989013672 +1983,30,0.6863695979118347,homicide,21-24 yrs,8,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,14.288010597229004 +1983,30,0.6863695979118347,other external,21-24 yrs,18,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,32.14802551269531 +1983,30,0.6863695979118347,internal,21-24 yrs,10,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,17.860013961791992 +1984,30,0.6898184418678284,MVA,15-17 yrs,19,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,49.41996383666992 +1984,30,0.6898184418678284,suicide,15-17 yrs,12,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,31.212610244750977 +1984,30,0.6898184418678284,homicide,15-17 yrs,1,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,2.601050853729248 +1984,30,0.6898184418678284,other external,15-17 yrs,12,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,31.212610244750977 +1984,30,0.6898184418678284,internal,15-17 yrs,5,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,13.005253791809082 +1984,30,0.6898184418678284,all,18-20 yrs,66,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,166.20916748046875 +1984,30,0.6898184418678284,MVA,18-20 yrs,40,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,100.73283386230469 +1984,30,0.6898184418678284,suicide,18-20 yrs,8,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.14656639099121 +1984,30,0.6898184418678284,homicide,18-20 yrs,0,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,0 +1984,30,0.6898184418678284,other external,18-20 yrs,8,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.14656639099121 +1984,30,0.6898184418678284,internal,18-20 yrs,10,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,25.183208465576172 +1984,30,0.6898184418678284,all,21-24 yrs,68,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,123.8006820678711 +1984,30,0.6898184418678284,MVA,21-24 yrs,26,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,47.33555603027344 +1984,30,0.6898184418678284,suicide,21-24 yrs,9,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,16.38538360595703 +1984,30,0.6898184418678284,homicide,21-24 yrs,6,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,10.923589706420898 +1984,30,0.6898184418678284,other external,21-24 yrs,16,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,29.12957191467285 +1984,30,0.6898184418678284,internal,21-24 yrs,11,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.026580810546875 +1985,30,0.6761645078659058,MVA,15-17 yrs,15,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,38.49608612060547 +1985,30,0.6761645078659058,suicide,15-17 yrs,6,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,15.39843463897705 +1985,30,0.6761645078659058,homicide,15-17 yrs,1,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,2.566405773162842 +1985,30,0.6761645078659058,other external,15-17 yrs,8,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,20.531246185302734 +1985,30,0.6761645078659058,internal,15-17 yrs,2,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,5.132811546325684 +1985,30,0.6761645078659058,all,18-20 yrs,52,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,141.65077209472656 +1985,30,0.6761645078659058,MVA,18-20 yrs,22,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,59.929176330566406 +1985,30,0.6761645078659058,suicide,18-20 yrs,12,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,32.68864059448242 +1985,30,0.6761645078659058,homicide,18-20 yrs,4,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,10.89621353149414 +1985,30,0.6761645078659058,other external,18-20 yrs,8,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,21.79242706298828 +1985,30,0.6761645078659058,internal,18-20 yrs,6,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,16.34432029724121 +1985,30,0.6761645078659058,all,21-24 yrs,69,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,129.982666015625 +1985,30,0.6761645078659058,MVA,21-24 yrs,27,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,50.86278533935547 +1985,30,0.6761645078659058,suicide,21-24 yrs,10,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,18.83806800842285 +1985,30,0.6761645078659058,homicide,21-24 yrs,5,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,9.419034004211426 +1985,30,0.6761645078659058,other external,21-24 yrs,15,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,28.25710105895996 +1985,30,0.6761645078659058,internal,21-24 yrs,12,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,22.605682373046875 +1986,30,0.6679462194442749,MVA,15-17 yrs,18,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,45.50510787963867 +1986,30,0.6679462194442749,suicide,15-17 yrs,3,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,7.584184646606445 +1986,30,0.6679462194442749,homicide,15-17 yrs,5,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,12.640307426452637 +1986,30,0.6679462194442749,other external,15-17 yrs,6,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,15.16836929321289 +1986,30,0.6679462194442749,internal,15-17 yrs,4,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,10.112245559692383 +1986,30,0.6679462194442749,all,18-20 yrs,61,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,178.74411010742188 +1986,30,0.6679462194442749,MVA,18-20 yrs,29,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,84.9767074584961 +1986,30,0.6679462194442749,suicide,18-20 yrs,7,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,20.51161766052246 +1986,30,0.6679462194442749,homicide,18-20 yrs,3,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,8.790693283081055 +1986,30,0.6679462194442749,other external,18-20 yrs,13,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,38.0930061340332 +1986,30,0.6679462194442749,internal,18-20 yrs,9,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,26.372079849243164 +1986,30,0.6679462194442749,all,21-24 yrs,74,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,148.516845703125 +1986,30,0.6679462194442749,MVA,21-24 yrs,27,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,54.188575744628906 +1986,30,0.6679462194442749,suicide,21-24 yrs,17,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,34.11873245239258 +1986,30,0.6679462194442749,homicide,21-24 yrs,4,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,8.027936935424805 +1986,30,0.6679462194442749,other external,21-24 yrs,15,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,30.104764938354492 +1986,30,0.6679462194442749,internal,21-24 yrs,11,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,22.076828002929688 +1987,30,0.5584973692893982,MVA,15-17 yrs,17,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,44.214412689208984 +1987,30,0.5584973692893982,suicide,15-17 yrs,6,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.605087280273438 +1987,30,0.5584973692893982,homicide,15-17 yrs,2,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,5.201695919036865 +1987,30,0.5584973692893982,other external,15-17 yrs,6,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.605087280273438 +1987,30,0.5584973692893982,internal,15-17 yrs,5,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,13.004239082336426 +1987,30,0.5584973692893982,all,18-20 yrs,45,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,135.9639892578125 +1987,30,0.5584973692893982,MVA,18-20 yrs,27,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,81.5783920288086 +1987,30,0.5584973692893982,suicide,18-20 yrs,8,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,24.171375274658203 +1987,30,0.5584973692893982,homicide,18-20 yrs,1,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,3.0214219093322754 +1987,30,0.5584973692893982,other external,18-20 yrs,5,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.107109069824219 +1987,30,0.5584973692893982,internal,18-20 yrs,4,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,12.085687637329102 +1987,30,0.5584973692893982,all,21-24 yrs,66,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,144.07020568847656 +1987,30,0.5584973692893982,MVA,21-24 yrs,34,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,74.21797943115234 +1987,30,0.5584973692893982,suicide,21-24 yrs,12,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,26.194581985473633 +1987,30,0.5584973692893982,homicide,21-24 yrs,5,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,10.914409637451172 +1987,30,0.5584973692893982,other external,21-24 yrs,8,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,17.463054656982422 +1987,30,0.5584973692893982,internal,21-24 yrs,7,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.280173301696777 +1988,30,0.23278002440929413,MVA,15-17 yrs,19,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,51.7809944152832 +1988,30,0.23278002440929413,suicide,15-17 yrs,4,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,10.901262283325195 +1988,30,0.23278002440929413,homicide,15-17 yrs,0,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,0 +1988,30,0.23278002440929413,other external,15-17 yrs,8,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.80252456665039 +1988,30,0.23278002440929413,internal,15-17 yrs,8,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.80252456665039 +1988,30,0.23278002440929413,all,18-20 yrs,36,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,109.83311462402344 +1988,30,0.23278002440929413,MVA,18-20 yrs,16,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,48.81471633911133 +1988,30,0.23278002440929413,suicide,18-20 yrs,10,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,30.509199142456055 +1988,30,0.23278002440929413,homicide,18-20 yrs,3,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.152759552001953 +1988,30,0.23278002440929413,other external,18-20 yrs,3,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.152759552001953 +1988,30,0.23278002440929413,internal,18-20 yrs,4,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,12.203679084777832 +1988,30,0.23278002440929413,all,21-24 yrs,52,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,123.74470520019531 +1988,30,0.23278002440929413,MVA,21-24 yrs,21,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,49.97382354736328 +1988,30,0.23278002440929413,suicide,21-24 yrs,8,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,19.037647247314453 +1988,30,0.23278002440929413,homicide,21-24 yrs,4,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.518823623657227 +1988,30,0.23278002440929413,other external,21-24 yrs,10,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,23.79705810546875 +1988,30,0.23278002440929413,internal,21-24 yrs,9,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.4173526763916 +1989,30,0.009624539874494076,MVA,15-17 yrs,14,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,40.058372497558594 +1989,30,0.009624539874494076,suicide,15-17 yrs,6,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,17.16787338256836 +1989,30,0.009624539874494076,homicide,15-17 yrs,2,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,5.7226243019104 +1989,30,0.009624539874494076,other external,15-17 yrs,3,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,8.58393669128418 +1989,30,0.009624539874494076,internal,15-17 yrs,5,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,14.306560516357422 +1989,30,0.009624539874494076,all,18-20 yrs,39,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,117.01521301269531 +1989,30,0.009624539874494076,MVA,18-20 yrs,19,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,57.00741195678711 +1989,30,0.009624539874494076,suicide,18-20 yrs,5,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.00195026397705 +1989,30,0.009624539874494076,homicide,18-20 yrs,2,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,6.00078010559082 +1989,30,0.009624539874494076,other external,18-20 yrs,8,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,24.00312042236328 +1989,30,0.009624539874494076,internal,18-20 yrs,5,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.00195026397705 +1989,30,0.009624539874494076,all,21-24 yrs,39,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,100.15922546386719 +1989,30,0.009624539874494076,MVA,21-24 yrs,11,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,28.250038146972656 +1989,30,0.009624539874494076,suicide,21-24 yrs,11,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,28.250038146972656 +1989,30,0.009624539874494076,homicide,21-24 yrs,5,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,12.840926170349121 +1989,30,0.009624539874494076,other external,21-24 yrs,6,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.409111976623535 +1989,30,0.009624539874494076,internal,21-24 yrs,6,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.409111976623535 +1990,30,0,MVA,15-17 yrs,9,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,25.814594268798828 +1990,30,0,suicide,15-17 yrs,12,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,34.41946029663086 +1990,30,0,homicide,15-17 yrs,0,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,0 +1990,30,0,other external,15-17 yrs,5,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,14.34144115447998 +1990,30,0,internal,15-17 yrs,7,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,20.078018188476562 +1990,30,0,all,18-20 yrs,62,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,187.5094451904297 +1990,30,0,MVA,18-20 yrs,31,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,93.75472259521484 +1990,30,0,suicide,18-20 yrs,5,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,15.121729850769043 +1990,30,0,homicide,18-20 yrs,6,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,18.146076202392578 +1990,30,0,other external,18-20 yrs,11,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,33.26780700683594 +1990,30,0,internal,18-20 yrs,9,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,27.219114303588867 +1990,30,0,all,21-24 yrs,57,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,152.98316955566406 +1990,30,0,MVA,21-24 yrs,25,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,67.09788513183594 +1990,30,0,suicide,21-24 yrs,16,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,42.94264602661133 +1990,30,0,homicide,21-24 yrs,5,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,13.419576644897461 +1990,30,0,other external,21-24 yrs,4,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,10.735661506652832 +1990,30,0,internal,21-24 yrs,7,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,18.78740692138672 +1991,30,0,MVA,15-17 yrs,9,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,25.122121810913086 +1991,30,0,suicide,15-17 yrs,8,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,22.330774307250977 +1991,30,0,homicide,15-17 yrs,0,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,0 +1991,30,0,other external,15-17 yrs,6,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,16.74808120727539 +1991,30,0,internal,15-17 yrs,10,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,27.913467407226562 +1991,30,0,all,18-20 yrs,49,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,144.6067657470703 +1991,30,0,MVA,18-20 yrs,22,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,64.92548370361328 +1991,30,0,suicide,18-20 yrs,10,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,29.51158332824707 +1991,30,0,homicide,18-20 yrs,1,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,2.951158285140991 +1991,30,0,other external,18-20 yrs,7,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,20.65810775756836 +1991,30,0,internal,18-20 yrs,9,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,26.5604248046875 +1991,30,0,all,21-24 yrs,55,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,145.1761932373047 +1991,30,0,MVA,21-24 yrs,25,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,65.98918151855469 +1991,30,0,suicide,21-24 yrs,11,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,29.03523826599121 +1991,30,0,homicide,21-24 yrs,4,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,10.558268547058105 +1991,30,0,other external,21-24 yrs,7,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,18.476970672607422 +1991,30,0,internal,21-24 yrs,8,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,21.11653709411621 +1992,30,0,MVA,15-17 yrs,17,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,44.93906784057617 +1992,30,0,suicide,15-17 yrs,7,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,18.504322052001953 +1992,30,0,homicide,15-17 yrs,3,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,7.930423736572266 +1992,30,0,other external,15-17 yrs,5,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,13.21737289428711 +1992,30,0,internal,15-17 yrs,7,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,18.504322052001953 +1992,30,0,all,18-20 yrs,42,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,121.28562927246094 +1992,30,0,MVA,18-20 yrs,20,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,57.755062103271484 +1992,30,0,suicide,18-20 yrs,6,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,17.326519012451172 +1992,30,0,homicide,18-20 yrs,1,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,2.8877530097961426 +1992,30,0,other external,18-20 yrs,9,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,25.989776611328125 +1992,30,0,internal,18-20 yrs,6,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,17.326519012451172 +1992,30,0,all,21-24 yrs,57,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,144.5050048828125 +1992,30,0,MVA,21-24 yrs,20,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,50.70351028442383 +1992,30,0,suicide,21-24 yrs,11,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,27.886930465698242 +1992,30,0,homicide,21-24 yrs,3,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,7.605526447296143 +1992,30,0,other external,21-24 yrs,13,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,32.95728302001953 +1992,30,0,internal,21-24 yrs,10,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,25.351755142211914 +1993,30,0,MVA,15-17 yrs,16,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,40.61738586425781 +1993,30,0,suicide,15-17 yrs,10,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,25.3858642578125 +1993,30,0,homicide,15-17 yrs,2,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,5.077173233032227 +1993,30,0,other external,15-17 yrs,5,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,12.69293212890625 +1993,30,0,internal,15-17 yrs,1,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.5385866165161133 +1993,30,0,all,18-20 yrs,49,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,134.94161987304688 +1993,30,0,MVA,18-20 yrs,28,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,77.1094970703125 +1993,30,0,suicide,18-20 yrs,10,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,27.539106369018555 +1993,30,0,homicide,18-20 yrs,1,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.753910541534424 +1993,30,0,other external,18-20 yrs,6,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.52346420288086 +1993,30,0,internal,18-20 yrs,4,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,11.015642166137695 +1993,30,0,all,21-24 yrs,55,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,133.06558227539062 +1993,30,0,MVA,21-24 yrs,29,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,70.16185760498047 +1993,30,0,suicide,21-24 yrs,11,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,26.613117218017578 +1993,30,0,homicide,21-24 yrs,1,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.419374465942383 +1993,30,0,other external,21-24 yrs,7,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.93562126159668 +1993,30,0,internal,21-24 yrs,7,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.93562126159668 +1994,30,0,MVA,15-17 yrs,15,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,36.37686538696289 +1994,30,0,suicide,15-17 yrs,5,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,12.125621795654297 +1994,30,0,homicide,15-17 yrs,1,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.425124406814575 +1994,30,0,other external,15-17 yrs,8,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,19.4009952545166 +1994,30,0,internal,15-17 yrs,4,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,9.7004976272583 +1994,30,0,all,18-20 yrs,51,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,135.2605743408203 +1994,30,0,MVA,18-20 yrs,23,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,60.9998664855957 +1994,30,0,suicide,18-20 yrs,8,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,21.217344284057617 +1994,30,0,homicide,18-20 yrs,1,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.652168035507202 +1994,30,0,other external,18-20 yrs,12,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,31.826017379760742 +1994,30,0,internal,18-20 yrs,7,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,18.56517791748047 +1994,30,0,all,21-24 yrs,42,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,98.04150390625 +1994,30,0,MVA,21-24 yrs,15,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,35.01482391357422 +1994,30,0,suicide,21-24 yrs,11,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,25.677536010742188 +1994,30,0,homicide,21-24 yrs,1,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.3343214988708496 +1994,30,0,other external,21-24 yrs,9,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,21.008893966674805 +1994,30,0,internal,21-24 yrs,6,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,14.005928993225098 +1995,30,0,MVA,15-17 yrs,14,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,32.739349365234375 +1995,30,0,suicide,15-17 yrs,12,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,28.062297821044922 +1995,30,0,homicide,15-17 yrs,6,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,14.031148910522461 +1995,30,0,other external,15-17 yrs,3,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,7.0155744552612305 +1995,30,0,internal,15-17 yrs,11,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,25.723773956298828 +1995,30,0,all,18-20 yrs,39,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,98.37554168701172 +1995,30,0,MVA,18-20 yrs,18,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,45.40409469604492 +1995,30,0,suicide,18-20 yrs,12,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,30.269397735595703 +1995,30,0,homicide,18-20 yrs,0,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,0 +1995,30,0,other external,18-20 yrs,6,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,15.134698867797852 +1995,30,0,internal,18-20 yrs,3,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,7.567349433898926 +1995,30,0,all,21-24 yrs,50,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,113.55635833740234 +1995,30,0,MVA,21-24 yrs,15,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,34.0669059753418 +1995,30,0,suicide,21-24 yrs,15,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,34.0669059753418 +1995,30,0,homicide,21-24 yrs,3,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,6.813381671905518 +1995,30,0,other external,21-24 yrs,8,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,18.169017791748047 +1995,30,0,internal,21-24 yrs,9,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,20.440143585205078 +1996,30,0,MVA,15-17 yrs,10,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,22.850875854492188 +1996,30,0,suicide,15-17 yrs,6,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,13.710525512695312 +1996,30,0,homicide,15-17 yrs,3,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,6.855262756347656 +1996,30,0,other external,15-17 yrs,5,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,11.425437927246094 +1996,30,0,internal,15-17 yrs,3,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,6.855262756347656 +1996,30,0,all,18-20 yrs,47,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,115.34874725341797 +1996,30,0,MVA,18-20 yrs,21,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,51.53880310058594 +1996,30,0,suicide,18-20 yrs,10,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,24.542285919189453 +1996,30,0,homicide,18-20 yrs,1,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,2.454228639602661 +1996,30,0,other external,18-20 yrs,9,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,22.088058471679688 +1996,30,0,internal,18-20 yrs,6,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,14.725371360778809 +1996,30,0,all,21-24 yrs,62,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,138.41757202148438 +1996,30,0,MVA,21-24 yrs,22,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,49.11591339111328 +1996,30,0,suicide,21-24 yrs,14,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,31.25558090209961 +1996,30,0,homicide,21-24 yrs,0,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,0 +1996,30,0,other external,21-24 yrs,12,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,26.790498733520508 +1996,30,0,internal,21-24 yrs,14,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,31.25558090209961 +1970,31,0.31476378440856934,MVA,15-17 yrs,45,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,51.57356643676758 +1970,31,0.31476378440856934,suicide,15-17 yrs,1,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,1.1460793018341064 +1970,31,0.31476378440856934,homicide,15-17 yrs,2,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,2.292158603668213 +1970,31,0.31476378440856934,other external,15-17 yrs,20,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,22.921585083007812 +1970,31,0.31476378440856934,internal,15-17 yrs,15,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,17.19118881225586 +1970,31,0.31476378440856934,all,18-20 yrs,126,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,153.6622772216797 +1970,31,0.31476378440856934,MVA,18-20 yrs,59,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,71.952972412109375 +1970,31,0.31476378440856934,suicide,18-20 yrs,4,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,4.878167629241943 +1970,31,0.31476378440856934,homicide,18-20 yrs,4,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,4.878167629241943 +1970,31,0.31476378440856934,other external,18-20 yrs,34,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,41.46442413330078 +1970,31,0.31476378440856934,internal,18-20 yrs,25,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,30.488548278808594 +1970,31,0.31476378440856934,all,21-24 yrs,117,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,131.26451110839844 +1970,31,0.31476378440856934,MVA,21-24 yrs,47,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,52.73019027709961 +1970,31,0.31476378440856934,suicide,21-24 yrs,8,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,8.975351333618164 +1970,31,0.31476378440856934,homicide,21-24 yrs,7,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,7.853432655334473 +1970,31,0.31476378440856934,other external,21-24 yrs,24,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,26.926054000854492 +1970,31,0.31476378440856934,internal,21-24 yrs,31,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,34.77948760986328 +1971,31,0.32733622193336487,MVA,15-17 yrs,51,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,57.34589767456055 +1971,31,0.32733622193336487,suicide,15-17 yrs,2,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,2.248858690261841 +1971,31,0.32733622193336487,homicide,15-17 yrs,0,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,0 +1971,31,0.32733622193336487,other external,15-17 yrs,20,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,22.48858642578125 +1971,31,0.32733622193336487,internal,15-17 yrs,26,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,29.23516273498535 +1971,31,0.32733622193336487,all,18-20 yrs,115,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,135.6724090576172 +1971,31,0.32733622193336487,MVA,18-20 yrs,66,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,77.8641586303711 +1971,31,0.32733622193336487,suicide,18-20 yrs,13,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,15.336880683898926 +1971,31,0.32733622193336487,homicide,18-20 yrs,2,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,2.3595199584960938 +1971,31,0.32733622193336487,other external,18-20 yrs,16,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,18.87615966796875 +1971,31,0.32733622193336487,internal,18-20 yrs,18,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,21.235681533813477 +1971,31,0.32733622193336487,all,21-24 yrs,106,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,106.0296859741211 +1971,31,0.32733622193336487,MVA,21-24 yrs,48,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,48.01344299316406 +1971,31,0.32733622193336487,suicide,21-24 yrs,6,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,6.001680374145508 +1971,31,0.32733622193336487,homicide,21-24 yrs,8,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,8.002240180969238 +1971,31,0.32733622193336487,other external,21-24 yrs,17,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,17.0047607421875 +1971,31,0.32733622193336487,internal,21-24 yrs,27,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,27.0075626373291 +1972,31,0.5257138013839722,MVA,15-17 yrs,46,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,50.85907745361328 +1972,31,0.5257138013839722,suicide,15-17 yrs,4,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.422528266906738 +1972,31,0.5257138013839722,homicide,15-17 yrs,4,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.422528266906738 +1972,31,0.5257138013839722,other external,15-17 yrs,18,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,19.901376724243164 +1972,31,0.5257138013839722,internal,15-17 yrs,22,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,24.32390594482422 +1972,31,0.5257138013839722,all,18-20 yrs,112,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,129.61012268066406 +1972,31,0.5257138013839722,MVA,18-20 yrs,68,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,78.691864013671875 +1972,31,0.5257138013839722,suicide,18-20 yrs,4,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.628932952880859 +1972,31,0.5257138013839722,homicide,18-20 yrs,2,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,2.3144664764404297 +1972,31,0.5257138013839722,other external,18-20 yrs,12,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,13.886799812316895 +1972,31,0.5257138013839722,internal,18-20 yrs,26,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,30.08806610107422 +1972,31,0.5257138013839722,all,21-24 yrs,166,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,161.39695739746094 +1972,31,0.5257138013839722,MVA,21-24 yrs,70,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,68.0589599609375 +1972,31,0.5257138013839722,suicide,21-24 yrs,10,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,9.722708702087402 +1972,31,0.5257138013839722,homicide,21-24 yrs,6,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,5.833624839782715 +1972,31,0.5257138013839722,other external,21-24 yrs,36,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,35.00175094604492 +1972,31,0.5257138013839722,internal,21-24 yrs,44,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,42.7799186706543 +1973,31,0.6647167205810547,MVA,15-17 yrs,29,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,31.631763458251953 +1973,31,0.6647167205810547,suicide,15-17 yrs,4,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,4.363001823425293 +1973,31,0.6647167205810547,homicide,15-17 yrs,5,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.453752040863037 +1973,31,0.6647167205810547,other external,15-17 yrs,11,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,11.998254776000977 +1973,31,0.6647167205810547,internal,15-17 yrs,18,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,19.633508682250977 +1973,31,0.6647167205810547,all,18-20 yrs,103,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,117.9123764038086 +1973,31,0.6647167205810547,MVA,18-20 yrs,49,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,56.09423828125 +1973,31,0.6647167205810547,suicide,18-20 yrs,8,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,9.158243179321289 +1973,31,0.6647167205810547,homicide,18-20 yrs,5,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.723901748657227 +1973,31,0.6647167205810547,other external,18-20 yrs,11,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,12.592583656311035 +1973,31,0.6647167205810547,internal,18-20 yrs,30,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,34.34341049194336 +1973,31,0.6647167205810547,all,21-24 yrs,130,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,122.82807159423828 +1973,31,0.6647167205810547,MVA,21-24 yrs,59,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,55.74504852294922 +1973,31,0.6647167205810547,suicide,21-24 yrs,6,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.66898775100708 +1973,31,0.6647167205810547,homicide,21-24 yrs,5,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,4.724156379699707 +1973,31,0.6647167205810547,other external,21-24 yrs,27,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,25.51044464111328 +1973,31,0.6647167205810547,internal,21-24 yrs,33,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,31.179433822631836 +1974,31,0.6656310558319092,MVA,15-17 yrs,32,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,34.48201370239258 +1974,31,0.6656310558319092,suicide,15-17 yrs,6,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,6.4653778076171875 +1974,31,0.6656310558319092,homicide,15-17 yrs,5,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,5.387814998626709 +1974,31,0.6656310558319092,other external,15-17 yrs,24,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,25.86151123046875 +1974,31,0.6656310558319092,internal,15-17 yrs,27,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,29.094200134277344 +1974,31,0.6656310558319092,all,18-20 yrs,121,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,135.7126007080078 +1974,31,0.6656310558319092,MVA,18-20 yrs,65,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,72.9034652709961 +1974,31,0.6656310558319092,suicide,18-20 yrs,13,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,14.580693244934082 +1974,31,0.6656310558319092,homicide,18-20 yrs,4,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,4.486367225646973 +1974,31,0.6656310558319092,other external,18-20 yrs,14,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,15.702284812927246 +1974,31,0.6656310558319092,internal,18-20 yrs,25,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,28.039794921875 +1974,31,0.6656310558319092,all,21-24 yrs,139,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,128.82298278808594 +1974,31,0.6656310558319092,MVA,21-24 yrs,47,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,43.5588493347168 +1974,31,0.6656310558319092,suicide,21-24 yrs,25,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,23.169601440429688 +1974,31,0.6656310558319092,homicide,21-24 yrs,7,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,6.487488269805908 +1974,31,0.6656310558319092,other external,21-24 yrs,25,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,23.169601440429688 +1974,31,0.6656310558319092,internal,21-24 yrs,35,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,32.437442779541016 +1975,31,0.6642671823501587,MVA,15-17 yrs,36,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,38.81861877441406 +1975,31,0.6642671823501587,suicide,15-17 yrs,5,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,5.391475200653076 +1975,31,0.6642671823501587,homicide,15-17 yrs,3,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,3.2348849773406982 +1975,31,0.6642671823501587,other external,15-17 yrs,15,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,16.17442512512207 +1975,31,0.6642671823501587,internal,15-17 yrs,27,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.113964080810547 +1975,31,0.6642671823501587,all,18-20 yrs,149,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,164.25067138671875 +1975,31,0.6642671823501587,MVA,18-20 yrs,77,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,84.88121795654297 +1975,31,0.6642671823501587,suicide,18-20 yrs,10,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,11.023534774780273 +1975,31,0.6642671823501587,homicide,18-20 yrs,6,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,6.614120960235596 +1975,31,0.6642671823501587,other external,18-20 yrs,27,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.763545989990234 +1975,31,0.6642671823501587,internal,18-20 yrs,29,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,31.968252182006836 +1975,31,0.6642671823501587,all,21-24 yrs,145,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,131.59446716308594 +1975,31,0.6642671823501587,MVA,21-24 yrs,59,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,53.54533767700195 +1975,31,0.6642671823501587,suicide,21-24 yrs,16,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,14.520769119262695 +1975,31,0.6642671823501587,homicide,21-24 yrs,11,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,9.983028411865234 +1975,31,0.6642671823501587,other external,21-24 yrs,27,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,24.50379753112793 +1975,31,0.6642671823501587,internal,21-24 yrs,32,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.04153823852539 +1976,31,0.6708330512046814,MVA,15-17 yrs,32,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,34.14389419555664 +1976,31,0.6708330512046814,suicide,15-17 yrs,8,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,8.53597354888916 +1976,31,0.6708330512046814,homicide,15-17 yrs,2,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,2.13399338722229 +1976,31,0.6708330512046814,other external,15-17 yrs,21,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,22.406930923461914 +1976,31,0.6708330512046814,internal,15-17 yrs,13,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,13.870957374572754 +1976,31,0.6708330512046814,all,18-20 yrs,104,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,113.13447570800781 +1976,31,0.6708330512046814,MVA,18-20 yrs,55,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,59.83073425292969 +1976,31,0.6708330512046814,suicide,18-20 yrs,5,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.439157485961914 +1976,31,0.6708330512046814,homicide,18-20 yrs,5,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.439157485961914 +1976,31,0.6708330512046814,other external,18-20 yrs,24,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,26.107955932617188 +1976,31,0.6708330512046814,internal,18-20 yrs,15,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,16.317472457885742 +1976,31,0.6708330512046814,all,21-24 yrs,137,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,122.80937957763672 +1976,31,0.6708330512046814,MVA,21-24 yrs,58,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,51.99229049682617 +1976,31,0.6708330512046814,suicide,21-24 yrs,16,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,14.342700958251953 +1976,31,0.6708330512046814,homicide,21-24 yrs,6,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.378512859344482 +1976,31,0.6708330512046814,other external,21-24 yrs,30,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,26.89256477355957 +1976,31,0.6708330512046814,internal,21-24 yrs,27,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,24.20330810546875 +1977,31,0.6709693670272827,MVA,15-17 yrs,31,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,33.160400390625 +1977,31,0.6709693670272827,suicide,15-17 yrs,4,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,4.278761386871338 +1977,31,0.6709693670272827,homicide,15-17 yrs,2,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,2.139380693435669 +1977,31,0.6709693670272827,other external,15-17 yrs,14,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,14.975664138793945 +1977,31,0.6709693670272827,internal,15-17 yrs,14,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,14.975664138793945 +1977,31,0.6709693670272827,all,18-20 yrs,123,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,132.41754150390625 +1977,31,0.6709693670272827,MVA,18-20 yrs,65,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,69.97674560546875 +1977,31,0.6709693670272827,suicide,18-20 yrs,12,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,12.918784141540527 +1977,31,0.6709693670272827,homicide,18-20 yrs,4,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,4.3062615394592285 +1977,31,0.6709693670272827,other external,18-20 yrs,24,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,25.837568283081055 +1977,31,0.6709693670272827,internal,18-20 yrs,18,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,19.378175735473633 +1977,31,0.6709693670272827,all,21-24 yrs,147,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,129.94705200195312 +1977,31,0.6709693670272827,MVA,21-24 yrs,54,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,47.73564910888672 +1977,31,0.6709693670272827,suicide,21-24 yrs,17,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,15.0278902053833 +1977,31,0.6709693670272827,homicide,21-24 yrs,11,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,9.723928451538086 +1977,31,0.6709693670272827,other external,21-24 yrs,27,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,23.86782455444336 +1977,31,0.6709693670272827,internal,21-24 yrs,38,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,33.59175491333008 +1978,31,0.6724247336387634,MVA,15-17 yrs,40,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,43.380184173583984 +1978,31,0.6724247336387634,suicide,15-17 yrs,6,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,6.507027626037598 +1978,31,0.6724247336387634,homicide,15-17 yrs,0,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,0 +1978,31,0.6724247336387634,other external,15-17 yrs,15,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,16.267568588256836 +1978,31,0.6724247336387634,internal,15-17 yrs,13,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,14.098559379577637 +1978,31,0.6724247336387634,all,18-20 yrs,103,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,110.99496459960938 +1978,31,0.6724247336387634,MVA,18-20 yrs,57,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,61.424400329589844 +1978,31,0.6724247336387634,suicide,18-20 yrs,5,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,5.388105392456055 +1978,31,0.6724247336387634,homicide,18-20 yrs,4,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,4.310484409332275 +1978,31,0.6724247336387634,other external,18-20 yrs,16,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,17.2419376373291 +1978,31,0.6724247336387634,internal,18-20 yrs,21,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,22.630041122436523 +1978,31,0.6724247336387634,all,21-24 yrs,102,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,88.69642639160156 +1978,31,0.6724247336387634,MVA,21-24 yrs,42,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,36.522056579589844 +1978,31,0.6724247336387634,suicide,21-24 yrs,14,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,12.174018859863281 +1978,31,0.6724247336387634,homicide,21-24 yrs,4,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,3.4782910346984863 +1978,31,0.6724247336387634,other external,21-24 yrs,18,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,15.652310371398926 +1978,31,0.6724247336387634,internal,21-24 yrs,24,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,20.869747161865234 +1979,31,0.6703671216964722,MVA,15-17 yrs,45,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,50.524898529052734 +1979,31,0.6703671216964722,suicide,15-17 yrs,11,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,12.350530624389648 +1979,31,0.6703671216964722,homicide,15-17 yrs,2,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,2.245551109313965 +1979,31,0.6703671216964722,other external,15-17 yrs,13,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,14.596081733703613 +1979,31,0.6703671216964722,internal,15-17 yrs,20,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,22.455509185791016 +1979,31,0.6703671216964722,all,18-20 yrs,96,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,102.57286834716797 +1979,31,0.6703671216964722,MVA,18-20 yrs,44,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,47.01256561279297 +1979,31,0.6703671216964722,suicide,18-20 yrs,7,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,7.47927188873291 +1979,31,0.6703671216964722,homicide,18-20 yrs,2,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,2.136934757232666 +1979,31,0.6703671216964722,other external,18-20 yrs,25,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,26.711685180664062 +1979,31,0.6703671216964722,internal,18-20 yrs,18,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,19.232412338256836 +1979,31,0.6703671216964722,all,21-24 yrs,127,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,109.25201416015625 +1979,31,0.6703671216964722,MVA,21-24 yrs,39,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,33.54983139038086 +1979,31,0.6703671216964722,suicide,21-24 yrs,19,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,16.344789505004883 +1979,31,0.6703671216964722,homicide,21-24 yrs,11,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,9.462772369384766 +1979,31,0.6703671216964722,other external,21-24 yrs,28,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,24.08705711364746 +1979,31,0.6703671216964722,internal,21-24 yrs,30,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,25.80756187438965 +1980,31,0.5230341553688049,MVA,15-17 yrs,38,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,45.0605354309082 +1980,31,0.5230341553688049,suicide,15-17 yrs,4,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,4.743214130401611 +1980,31,0.5230341553688049,homicide,15-17 yrs,1,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,1.1858035326004028 +1980,31,0.5230341553688049,other external,15-17 yrs,14,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,16.60124969482422 +1980,31,0.5230341553688049,internal,15-17 yrs,17,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,20.158660888671875 +1980,31,0.5230341553688049,all,18-20 yrs,112,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,120.83809661865234 +1980,31,0.5230341553688049,MVA,18-20 yrs,63,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,67.97142791748047 +1980,31,0.5230341553688049,suicide,18-20 yrs,7,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,7.5523810386657715 +1980,31,0.5230341553688049,homicide,18-20 yrs,9,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,9.710204124450684 +1980,31,0.5230341553688049,other external,18-20 yrs,16,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,17.262584686279297 +1980,31,0.5230341553688049,internal,18-20 yrs,17,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,18.34149742126465 +1980,31,0.5230341553688049,all,21-24 yrs,139,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,117.80859375 +1980,31,0.5230341553688049,MVA,21-24 yrs,58,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,49.15754318237305 +1980,31,0.5230341553688049,suicide,21-24 yrs,16,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,13.560701370239258 +1980,31,0.5230341553688049,homicide,21-24 yrs,13,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,11.01806926727295 +1980,31,0.5230341553688049,other external,21-24 yrs,17,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,14.408245086669922 +1980,31,0.5230341553688049,internal,21-24 yrs,35,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,29.664033889770508 +1981,31,0.34682348370552063,MVA,15-17 yrs,34,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,42.75223922729492 +1981,31,0.34682348370552063,suicide,15-17 yrs,6,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,7.544512748718262 +1981,31,0.34682348370552063,homicide,15-17 yrs,3,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,3.772256374359131 +1981,31,0.34682348370552063,other external,15-17 yrs,9,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,11.316768646240234 +1981,31,0.34682348370552063,internal,15-17 yrs,6,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,7.544512748718262 +1981,31,0.34682348370552063,all,18-20 yrs,116,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,127.74345397949219 +1981,31,0.34682348370552063,MVA,18-20 yrs,64,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,70.4791488647461 +1981,31,0.34682348370552063,suicide,18-20 yrs,6,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,6.607419967651367 +1981,31,0.34682348370552063,homicide,18-20 yrs,8,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,8.809893608093262 +1981,31,0.34682348370552063,other external,18-20 yrs,23,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,25.32844352722168 +1981,31,0.34682348370552063,internal,18-20 yrs,15,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.518550872802734 +1981,31,0.34682348370552063,all,21-24 yrs,120,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,101.3119888305664 +1981,31,0.34682348370552063,MVA,21-24 yrs,58,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,48.96746063232422 +1981,31,0.34682348370552063,suicide,21-24 yrs,15,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,12.6639986038208 +1981,31,0.34682348370552063,homicide,21-24 yrs,7,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,5.9098663330078125 +1981,31,0.34682348370552063,other external,21-24 yrs,20,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.885332107543945 +1981,31,0.34682348370552063,internal,21-24 yrs,20,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.885332107543945 +1982,31,0.3458697497844696,MVA,15-17 yrs,15,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,20.081127166748047 +1982,31,0.3458697497844696,suicide,15-17 yrs,5,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,6.693709373474121 +1982,31,0.3458697497844696,homicide,15-17 yrs,1,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,1.3387418985366821 +1982,31,0.3458697497844696,other external,15-17 yrs,7,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,9.371192932128906 +1982,31,0.3458697497844696,internal,15-17 yrs,8,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,10.709935188293457 +1982,31,0.3458697497844696,all,18-20 yrs,81,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,92.76331329345703 +1982,31,0.3458697497844696,MVA,18-20 yrs,36,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,41.22814178466797 +1982,31,0.3458697497844696,suicide,18-20 yrs,12,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,13.742713928222656 +1982,31,0.3458697497844696,homicide,18-20 yrs,6,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,6.871356964111328 +1982,31,0.3458697497844696,other external,18-20 yrs,10,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,11.452260971069336 +1982,31,0.3458697497844696,internal,18-20 yrs,17,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,19.468843460083008 +1982,31,0.3458697497844696,all,21-24 yrs,97,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,81.97968292236328 +1982,31,0.3458697497844696,MVA,21-24 yrs,29,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,24.509389877319336 +1982,31,0.3458697497844696,suicide,21-24 yrs,14,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,11.83211898803711 +1982,31,0.3458697497844696,homicide,21-24 yrs,4,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,3.380605459213257 +1982,31,0.3458697497844696,other external,21-24 yrs,22,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,18.59333038330078 +1982,31,0.3458697497844696,internal,21-24 yrs,28,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,23.66423797607422 +1983,31,0.34818771481513977,MVA,15-17 yrs,17,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,23.865678787231445 +1983,31,0.34818771481513977,suicide,15-17 yrs,5,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,7.019317150115967 +1983,31,0.34818771481513977,homicide,15-17 yrs,1,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,1.4038634300231934 +1983,31,0.34818771481513977,other external,15-17 yrs,6,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,8.42318058013916 +1983,31,0.34818771481513977,internal,15-17 yrs,8,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,11.230907440185547 +1983,31,0.34818771481513977,all,18-20 yrs,79,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,94.81517028808594 +1983,31,0.34818771481513977,MVA,18-20 yrs,41,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,49.2078742980957 +1983,31,0.34818771481513977,suicide,18-20 yrs,6,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,7.201152324676514 +1983,31,0.34818771481513977,homicide,18-20 yrs,4,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,4.80076789855957 +1983,31,0.34818771481513977,other external,18-20 yrs,12,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,14.402304649353027 +1983,31,0.34818771481513977,internal,18-20 yrs,16,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,19.20307159423828 +1983,31,0.34818771481513977,all,21-24 yrs,116,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,98.97779846191406 +1983,31,0.34818771481513977,MVA,21-24 yrs,43,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,36.69004440307617 +1983,31,0.34818771481513977,suicide,21-24 yrs,15,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,12.798852920532227 +1983,31,0.34818771481513977,homicide,21-24 yrs,8,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,6.82605504989624 +1983,31,0.34818771481513977,other external,21-24 yrs,18,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,15.358623504638672 +1983,31,0.34818771481513977,internal,21-24 yrs,32,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,27.30422019958496 +1984,31,0.3577482998371124,MVA,15-17 yrs,26,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,37.03123474121094 +1984,31,0.3577482998371124,suicide,15-17 yrs,6,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,8.5456695556640625 +1984,31,0.3577482998371124,homicide,15-17 yrs,3,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,4.272834777832031 +1984,31,0.3577482998371124,other external,15-17 yrs,11,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,15.667060852050781 +1984,31,0.3577482998371124,internal,15-17 yrs,9,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,12.818504333496094 +1984,31,0.3577482998371124,all,18-20 yrs,69,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,87.42255401611328 +1984,31,0.3577482998371124,MVA,18-20 yrs,26,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,32.94183349609375 +1984,31,0.3577482998371124,suicide,18-20 yrs,11,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,13.936928749084473 +1984,31,0.3577482998371124,homicide,18-20 yrs,6,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,7.601961135864258 +1984,31,0.3577482998371124,other external,18-20 yrs,10,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,12.66993522644043 +1984,31,0.3577482998371124,internal,18-20 yrs,16,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,20.271896362304688 +1984,31,0.3577482998371124,all,21-24 yrs,100,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,86.64385223388672 +1984,31,0.3577482998371124,MVA,21-24 yrs,36,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,31.19178581237793 +1984,31,0.3577482998371124,suicide,21-24 yrs,16,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,13.863016128540039 +1984,31,0.3577482998371124,homicide,21-24 yrs,6,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,5.1986308097839355 +1984,31,0.3577482998371124,other external,21-24 yrs,20,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,17.32876968383789 +1984,31,0.3577482998371124,internal,21-24 yrs,22,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,19.061647415161133 +1985,31,0.1764204502105713,MVA,15-17 yrs,18,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,25.51526641845703 +1985,31,0.1764204502105713,suicide,15-17 yrs,5,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,7.087574005126953 +1985,31,0.1764204502105713,homicide,15-17 yrs,0,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,0 +1985,31,0.1764204502105713,other external,15-17 yrs,11,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,15.592662811279297 +1985,31,0.1764204502105713,internal,15-17 yrs,13,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,18.427692413330078 +1985,31,0.1764204502105713,all,18-20 yrs,68,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,92.25467681884766 +1985,31,0.1764204502105713,MVA,18-20 yrs,33,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,44.770652770996094 +1985,31,0.1764204502105713,suicide,18-20 yrs,8,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,10.85349178314209 +1985,31,0.1764204502105713,homicide,18-20 yrs,2,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,2.7133729457855225 +1985,31,0.1764204502105713,other external,18-20 yrs,14,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,18.993610382080078 +1985,31,0.1764204502105713,internal,18-20 yrs,11,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,14.923550605773926 +1985,31,0.1764204502105713,all,21-24 yrs,82,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,73.6568832397461 +1985,31,0.1764204502105713,MVA,21-24 yrs,31,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,27.845895767211914 +1985,31,0.1764204502105713,suicide,21-24 yrs,18,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,16.1685848236084 +1985,31,0.1764204502105713,homicide,21-24 yrs,6,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,5.389528274536133 +1985,31,0.1764204502105713,other external,21-24 yrs,10,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,8.98254680633545 +1985,31,0.1764204502105713,internal,21-24 yrs,17,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,15.270329475402832 +1986,31,0,MVA,15-17 yrs,25,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,34.82573318481445 +1986,31,0,suicide,15-17 yrs,6,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,8.358175277709961 +1986,31,0,homicide,15-17 yrs,1,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,1.3930293321609497 +1986,31,0,other external,15-17 yrs,9,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,12.537263870239258 +1986,31,0,internal,15-17 yrs,10,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,13.930293083190918 +1986,31,0,all,18-20 yrs,82,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,117.59812927246094 +1986,31,0,MVA,18-20 yrs,44,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,63.101436614990234 +1986,31,0,suicide,18-20 yrs,10,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,14.341235160827637 +1986,31,0,homicide,18-20 yrs,3,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,4.302370548248291 +1986,31,0,other external,18-20 yrs,10,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,14.341235160827637 +1986,31,0,internal,18-20 yrs,15,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,21.511852264404297 +1986,31,0,all,21-24 yrs,125,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,119.1395263671875 +1986,31,0,MVA,21-24 yrs,47,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,44.79646301269531 +1986,31,0,suicide,21-24 yrs,17,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,16.20297622680664 +1986,31,0,homicide,21-24 yrs,17,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,16.20297622680664 +1986,31,0,other external,21-24 yrs,19,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,18.109207153320312 +1986,31,0,internal,21-24 yrs,25,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,23.827905654907227 +1987,31,0,MVA,15-17 yrs,36,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,50.821617126464844 +1987,31,0,suicide,15-17 yrs,9,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,12.705404281616211 +1987,31,0,homicide,15-17 yrs,6,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,8.470269203186035 +1987,31,0,other external,15-17 yrs,11,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,15.528826713562012 +1987,31,0,internal,15-17 yrs,10,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,14.11711597442627 +1987,31,0,all,18-20 yrs,65,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,95.22135162353516 +1987,31,0,MVA,18-20 yrs,34,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,49.8080940246582 +1987,31,0,suicide,18-20 yrs,8,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,11.719551086425781 +1987,31,0,homicide,18-20 yrs,5,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,7.324719429016113 +1987,31,0,other external,18-20 yrs,4,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,5.859775543212891 +1987,31,0,internal,18-20 yrs,14,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,20.509214401245117 +1987,31,0,all,21-24 yrs,84,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,85.37626647949219 +1987,31,0,MVA,21-24 yrs,40,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,40.655364990234375 +1987,31,0,suicide,21-24 yrs,13,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,13.212993621826172 +1987,31,0,homicide,21-24 yrs,6,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,6.098304748535156 +1987,31,0,other external,21-24 yrs,6,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,6.098304748535156 +1987,31,0,internal,21-24 yrs,19,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,19.311298370361328 +1988,31,0,MVA,15-17 yrs,25,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,36.295005798339844 +1988,31,0,suicide,15-17 yrs,14,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,20.32520294189453 +1988,31,0,homicide,15-17 yrs,3,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,4.355400562286377 +1988,31,0,other external,15-17 yrs,3,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,4.355400562286377 +1988,31,0,internal,15-17 yrs,12,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,17.421602249145508 +1988,31,0,all,18-20 yrs,95,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,137.8049774169922 +1988,31,0,MVA,18-20 yrs,40,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,58.02315139770508 +1988,31,0,suicide,18-20 yrs,14,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,20.308103561401367 +1988,31,0,homicide,18-20 yrs,8,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,11.604630470275879 +1988,31,0,other external,18-20 yrs,15,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,21.758682250976562 +1988,31,0,internal,18-20 yrs,18,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,26.11041831970215 +1988,31,0,all,21-24 yrs,81,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,87.03033447265625 +1988,31,0,MVA,21-24 yrs,22,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,23.637866973876953 +1988,31,0,suicide,21-24 yrs,11,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,11.818933486938477 +1988,31,0,homicide,21-24 yrs,5,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,5.3722429275512695 +1988,31,0,other external,21-24 yrs,17,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,18.265625 +1988,31,0,internal,21-24 yrs,26,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,27.93566131591797 +1989,31,0,MVA,15-17 yrs,18,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,27.201427459716797 +1989,31,0,suicide,15-17 yrs,8,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,12.089523315429688 +1989,31,0,homicide,15-17 yrs,1,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,1.511190414428711 +1989,31,0,other external,15-17 yrs,4,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,6.044761657714844 +1989,31,0,internal,15-17 yrs,14,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,21.156665802001953 +1989,31,0,all,18-20 yrs,63,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,89.23259735107422 +1989,31,0,MVA,18-20 yrs,32,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,45.324493408203125 +1989,31,0,suicide,18-20 yrs,11,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,15.58029556274414 +1989,31,0,homicide,18-20 yrs,4,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,5.665561676025391 +1989,31,0,other external,18-20 yrs,5,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,7.0819525718688965 +1989,31,0,internal,18-20 yrs,11,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,15.58029556274414 +1989,31,0,all,21-24 yrs,86,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,97.887451171875 +1989,31,0,MVA,21-24 yrs,32,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,36.42323684692383 +1989,31,0,suicide,21-24 yrs,13,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,14.796940803527832 +1989,31,0,homicide,21-24 yrs,5,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,5.691131114959717 +1989,31,0,other external,21-24 yrs,11,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,12.520487785339355 +1989,31,0,internal,21-24 yrs,25,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,28.45565414428711 +1990,31,0,MVA,15-17 yrs,23,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,34.89130783081055 +1990,31,0,suicide,15-17 yrs,12,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,18.204158782958984 +1990,31,0,homicide,15-17 yrs,3,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,4.551039695739746 +1990,31,0,other external,15-17 yrs,4,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,6.068053245544434 +1990,31,0,internal,15-17 yrs,10,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,15.170132637023926 +1990,31,0,all,18-20 yrs,75,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,105.61148834228516 +1990,31,0,MVA,18-20 yrs,24,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,33.795677185058594 +1990,31,0,suicide,18-20 yrs,24,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,33.795677185058594 +1990,31,0,homicide,18-20 yrs,2,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,2.8163063526153564 +1990,31,0,other external,18-20 yrs,10,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,14.08153247833252 +1990,31,0,internal,18-20 yrs,15,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,21.122297286987305 +1990,31,0,all,21-24 yrs,88,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,102.95287322998047 +1990,31,0,MVA,21-24 yrs,35,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,40.947166442871094 +1990,31,0,suicide,21-24 yrs,14,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,16.37886619567871 +1990,31,0,homicide,21-24 yrs,5,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,5.849595069885254 +1990,31,0,other external,21-24 yrs,7,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,8.189433097839355 +1990,31,0,internal,21-24 yrs,27,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,31.587814331054688 +1991,31,0,MVA,15-17 yrs,18,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,26.8364315032959 +1991,31,0,suicide,15-17 yrs,7,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,10.436389923095703 +1991,31,0,homicide,15-17 yrs,3,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,4.472738742828369 +1991,31,0,other external,15-17 yrs,6,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,8.945477485656738 +1991,31,0,internal,15-17 yrs,10,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,14.90912914276123 +1991,31,0,all,18-20 yrs,76,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,109.09038543701172 +1991,31,0,MVA,18-20 yrs,33,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,47.368194580078125 +1991,31,0,suicide,18-20 yrs,16,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,22.966398239135742 +1991,31,0,homicide,18-20 yrs,4,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,5.7415995597839355 +1991,31,0,other external,18-20 yrs,10,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,14.353998184204102 +1991,31,0,internal,18-20 yrs,13,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,18.660198211669922 +1991,31,0,all,21-24 yrs,82,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,95.30229187011719 +1991,31,0,MVA,21-24 yrs,29,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,33.704471588134766 +1991,31,0,suicide,21-24 yrs,11,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,12.784454345703125 +1991,31,0,homicide,21-24 yrs,8,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,9.297784805297852 +1991,31,0,other external,21-24 yrs,11,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,12.784454345703125 +1991,31,0,internal,21-24 yrs,23,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,26.731130599975586 +1992,31,0,MVA,15-17 yrs,23,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,33.32270812988281 +1992,31,0,suicide,15-17 yrs,4,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,5.795253753662109 +1992,31,0,homicide,15-17 yrs,2,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,2.8976268768310547 +1992,31,0,other external,15-17 yrs,6,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,8.692880630493164 +1992,31,0,internal,15-17 yrs,8,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,11.590507507324219 +1992,31,0,all,18-20 yrs,70,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,102.51303100585938 +1992,31,0,MVA,18-20 yrs,27,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,39.540740966796875 +1992,31,0,suicide,18-20 yrs,9,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,13.18024730682373 +1992,31,0,homicide,18-20 yrs,5,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,7.322359561920166 +1992,31,0,other external,18-20 yrs,8,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,11.715775489807129 +1992,31,0,internal,18-20 yrs,21,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,30.753910064697266 +1992,31,0,all,21-24 yrs,78,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,88.5397720336914 +1992,31,0,MVA,21-24 yrs,27,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,30.64838409423828 +1992,31,0,suicide,21-24 yrs,16,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,18.162004470825195 +1992,31,0,homicide,21-24 yrs,6,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,6.810751914978027 +1992,31,0,other external,21-24 yrs,9,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,10.216127395629883 +1992,31,0,internal,21-24 yrs,20,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,22.70250701904297 +1993,31,0,MVA,15-17 yrs,19,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,26.936599731445312 +1993,31,0,suicide,15-17 yrs,4,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,5.670863151550293 +1993,31,0,homicide,15-17 yrs,2,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,2.8354315757751465 +1993,31,0,other external,15-17 yrs,7,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,9.924010276794434 +1993,31,0,internal,15-17 yrs,14,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,19.848020553588867 +1993,31,0,all,18-20 yrs,56,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,81.5150146484375 +1993,31,0,MVA,18-20 yrs,25,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,36.39063262939453 +1993,31,0,suicide,18-20 yrs,8,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,11.645002365112305 +1993,31,0,homicide,18-20 yrs,5,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,7.278126239776611 +1993,31,0,other external,18-20 yrs,9,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,13.100626945495605 +1993,31,0,internal,18-20 yrs,9,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,13.100626945495605 +1993,31,0,all,21-24 yrs,90,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,100.99876403808594 +1993,31,0,MVA,21-24 yrs,31,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,34.7884635925293 +1993,31,0,suicide,21-24 yrs,16,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,17.95533561706543 +1993,31,0,homicide,21-24 yrs,8,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,8.977667808532715 +1993,31,0,other external,21-24 yrs,10,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,11.222084999084473 +1993,31,0,internal,21-24 yrs,25,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,28.055212020874023 +1994,31,0,MVA,15-17 yrs,31,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,42.429718017578125 +1994,31,0,suicide,15-17 yrs,10,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,13.687005996704102 +1994,31,0,homicide,15-17 yrs,4,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.474802017211914 +1994,31,0,other external,15-17 yrs,4,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.474802017211914 +1994,31,0,internal,15-17 yrs,8,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,10.949604034423828 +1994,31,0,all,18-20 yrs,62,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,88.81376647949219 +1994,31,0,MVA,18-20 yrs,29,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,41.54191970825195 +1994,31,0,suicide,18-20 yrs,10,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,14.324800491333008 +1994,31,0,homicide,18-20 yrs,4,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.729920387268066 +1994,31,0,other external,18-20 yrs,10,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,14.324800491333008 +1994,31,0,internal,18-20 yrs,9,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,12.89232063293457 +1994,31,0,all,21-24 yrs,74,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,83.30987548828125 +1994,31,0,MVA,21-24 yrs,28,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,31.52265739440918 +1994,31,0,suicide,21-24 yrs,11,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,12.38390064239502 +1994,31,0,homicide,21-24 yrs,8,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,9.006473541259766 +1994,31,0,other external,21-24 yrs,10,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,11.258091926574707 +1994,31,0,internal,21-24 yrs,17,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,19.138755798339844 +1995,31,0,MVA,15-17 yrs,25,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,32.853668212890625 +1995,31,0,suicide,15-17 yrs,9,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,11.82732105255127 +1995,31,0,homicide,15-17 yrs,4,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,5.256587028503418 +1995,31,0,other external,15-17 yrs,8,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,10.513174057006836 +1995,31,0,internal,15-17 yrs,14,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,18.398054122924805 +1995,31,0,all,18-20 yrs,64,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,88.67950439453125 +1995,31,0,MVA,18-20 yrs,26,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,36.02605056762695 +1995,31,0,suicide,18-20 yrs,10,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,13.856172561645508 +1995,31,0,homicide,18-20 yrs,11,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,15.241789817810059 +1995,31,0,other external,18-20 yrs,5,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,6.928086280822754 +1995,31,0,internal,18-20 yrs,12,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,16.62740707397461 +1995,31,0,all,21-24 yrs,82,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,93.18605041503906 +1995,31,0,MVA,21-24 yrs,32,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,36.36528778076172 +1995,31,0,suicide,21-24 yrs,12,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,13.636983871459961 +1995,31,0,homicide,21-24 yrs,5,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,5.682076454162598 +1995,31,0,other external,21-24 yrs,6,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,6.8184919357299805 +1995,31,0,internal,21-24 yrs,27,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,30.683212280273438 +1996,31,0,MVA,15-17 yrs,26,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,32.953521728515625 +1996,31,0,suicide,15-17 yrs,10,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,12.674431800842285 +1996,31,0,homicide,15-17 yrs,4,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,5.069772720336914 +1996,31,0,other external,15-17 yrs,4,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,5.069772720336914 +1996,31,0,internal,15-17 yrs,14,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,17.744205474853516 +1996,31,0,all,18-20 yrs,53,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,71.8361587524414 +1996,31,0,MVA,18-20 yrs,16,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,21.68638801574707 +1996,31,0,suicide,18-20 yrs,13,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,17.620189666748047 +1996,31,0,homicide,18-20 yrs,5,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,6.77699613571167 +1996,31,0,other external,18-20 yrs,5,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,6.77699613571167 +1996,31,0,internal,18-20 yrs,14,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,18.975589752197266 +1996,31,0,all,21-24 yrs,72,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,82.17395782470703 +1996,31,0,MVA,21-24 yrs,20,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,22.826099395751953 +1996,31,0,suicide,21-24 yrs,16,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,18.260879516601562 +1996,31,0,homicide,21-24 yrs,10,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,11.413049697875977 +1996,31,0,other external,21-24 yrs,4,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,4.565219879150391 +1996,31,0,internal,21-24 yrs,22,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,25.10870933532715 +1970,32,0,MVA,15-17 yrs,23,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,88.109100341796875 +1970,32,0,suicide,15-17 yrs,2,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,7.661661148071289 +1970,32,0,homicide,15-17 yrs,3,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,11.492491722106934 +1970,32,0,other external,15-17 yrs,10,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,38.30830383300781 +1970,32,0,internal,15-17 yrs,7,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,26.815813064575195 +1970,32,0,all,18-20 yrs,58,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,269.5918884277344 +1970,32,0,MVA,18-20 yrs,31,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,144.09222412109375 +1970,32,0,suicide,18-20 yrs,3,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,13.944408416748047 +1970,32,0,homicide,18-20 yrs,6,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,27.888816833496094 +1970,32,0,other external,18-20 yrs,9,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,41.83322525024414 +1970,32,0,internal,18-20 yrs,9,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,41.83322525024414 +1970,32,0,all,21-24 yrs,63,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,198.9075927734375 +1970,32,0,MVA,21-24 yrs,29,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,91.560638427734375 +1970,32,0,suicide,21-24 yrs,8,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,25.258106231689453 +1970,32,0,homicide,21-24 yrs,4,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,12.629053115844727 +1970,32,0,other external,21-24 yrs,15,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,47.35894775390625 +1970,32,0,internal,21-24 yrs,7,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,22.10084342956543 +1971,32,0,MVA,15-17 yrs,24,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,83.877960205078125 +1971,32,0,suicide,15-17 yrs,2,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,6.989830017089844 +1971,32,0,homicide,15-17 yrs,7,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.464405059814453 +1971,32,0,other external,15-17 yrs,5,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,17.47457504272461 +1971,32,0,internal,15-17 yrs,7,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.464405059814453 +1971,32,0,all,18-20 yrs,62,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,255.97621154785156 +1971,32,0,MVA,18-20 yrs,28,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,115.60216522216797 +1971,32,0,suicide,18-20 yrs,6,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.771892547607422 +1971,32,0,homicide,18-20 yrs,2,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,8.25729751586914 +1971,32,0,other external,18-20 yrs,17,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,70.18702697753906 +1971,32,0,internal,18-20 yrs,9,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,37.1578369140625 +1971,32,0,all,21-24 yrs,66,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,196.89149475097656 +1971,32,0,MVA,21-24 yrs,34,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,101.428955078125 +1971,32,0,suicide,21-24 yrs,7,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,20.882431030273438 +1971,32,0,homicide,21-24 yrs,7,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,20.882431030273438 +1971,32,0,other external,21-24 yrs,10,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,29.832046508789062 +1971,32,0,internal,21-24 yrs,8,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,23.865636825561523 +1972,32,0,MVA,15-17 yrs,18,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,58.80815505981445 +1972,32,0,suicide,15-17 yrs,6,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,19.602718353271484 +1972,32,0,homicide,15-17 yrs,4,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,13.06847858428955 +1972,32,0,other external,15-17 yrs,16,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,52.2739143371582 +1972,32,0,internal,15-17 yrs,12,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,39.20543670654297 +1972,32,0,all,18-20 yrs,80,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,294.1068420410156 +1972,32,0,MVA,18-20 yrs,46,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,169.11143493652344 +1972,32,0,suicide,18-20 yrs,10,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,36.76335525512695 +1972,32,0,homicide,18-20 yrs,4,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,14.705341339111328 +1972,32,0,other external,18-20 yrs,8,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.410682678222656 +1972,32,0,internal,18-20 yrs,12,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,44.116024017333984 +1972,32,0,all,21-24 yrs,76,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,224.59292602539062 +1972,32,0,MVA,21-24 yrs,36,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,106.38612365722656 +1972,32,0,suicide,21-24 yrs,12,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,35.462039947509766 +1972,32,0,homicide,21-24 yrs,8,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,23.641361236572266 +1972,32,0,other external,21-24 yrs,10,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.551700592041016 +1972,32,0,internal,21-24 yrs,10,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.551700592041016 +1973,32,0,MVA,15-17 yrs,23,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,70.80408477783203 +1973,32,0,suicide,15-17 yrs,4,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,12.313754081726074 +1973,32,0,homicide,15-17 yrs,4,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,12.313754081726074 +1973,32,0,other external,15-17 yrs,6,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,18.470632553100586 +1973,32,0,internal,15-17 yrs,6,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,18.470632553100586 +1973,32,0,all,18-20 yrs,75,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,259.75823974609375 +1973,32,0,MVA,18-20 yrs,39,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,135.0742950439453 +1973,32,0,suicide,18-20 yrs,5,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,17.317216873168945 +1973,32,0,homicide,18-20 yrs,7,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,24.244104385375977 +1973,32,0,other external,18-20 yrs,16,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,55.41509246826172 +1973,32,0,internal,18-20 yrs,8,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,27.70754623413086 +1973,32,0,all,21-24 yrs,75,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,217.59312438964844 +1973,32,0,MVA,21-24 yrs,35,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,101.54345703125 +1973,32,0,suicide,21-24 yrs,7,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,20.308692932128906 +1973,32,0,homicide,21-24 yrs,5,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,14.506208419799805 +1973,32,0,other external,21-24 yrs,14,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,40.61738586425781 +1973,32,0,internal,21-24 yrs,14,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,40.61738586425781 +1974,32,0,MVA,15-17 yrs,13,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,37.649513244628906 +1974,32,0,suicide,15-17 yrs,4,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,11.584465026855469 +1974,32,0,homicide,15-17 yrs,3,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,8.688348770141602 +1974,32,0,other external,15-17 yrs,10,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,28.961162567138672 +1974,32,0,internal,15-17 yrs,6,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,17.376697540283203 +1974,32,0,all,18-20 yrs,78,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,251.64537048339844 +1974,32,0,MVA,18-20 yrs,27,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,87.10801696777344 +1974,32,0,suicide,18-20 yrs,9,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,29.0360050201416 +1974,32,0,homicide,18-20 yrs,14,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,45.167118072509766 +1974,32,0,other external,18-20 yrs,13,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,41.940895080566406 +1974,32,0,internal,18-20 yrs,15,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,48.393341064453125 +1974,32,0,all,21-24 yrs,85,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,229.19082641601562 +1974,32,0,MVA,21-24 yrs,33,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,88.97996520996094 +1974,32,0,suicide,21-24 yrs,15,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,40.445438385009766 +1974,32,0,homicide,21-24 yrs,12,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,32.35634994506836 +1974,32,0,other external,21-24 yrs,12,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,32.35634994506836 +1974,32,0,internal,21-24 yrs,13,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,35.05271530151367 +1975,32,0,MVA,15-17 yrs,18,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,50.857513427734375 +1975,32,0,suicide,15-17 yrs,0,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,0 +1975,32,0,homicide,15-17 yrs,2,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,5.650835037231445 +1975,32,0,other external,15-17 yrs,6,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,16.952505111694336 +1975,32,0,internal,15-17 yrs,7,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,19.777921676635742 +1975,32,0,all,18-20 yrs,56,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,170.71609497070312 +1975,32,0,MVA,18-20 yrs,31,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,94.50355529785156 +1975,32,0,suicide,18-20 yrs,7,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,21.33951187133789 +1975,32,0,homicide,18-20 yrs,3,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,9.14550495147705 +1975,32,0,other external,18-20 yrs,8,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,24.38801383972168 +1975,32,0,internal,18-20 yrs,7,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,21.33951187133789 +1975,32,0,all,21-24 yrs,103,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,251.1276397705078 +1975,32,0,MVA,21-24 yrs,36,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,87.77276611328125 +1975,32,0,suicide,21-24 yrs,18,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,43.886383056640625 +1975,32,0,homicide,21-24 yrs,7,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,17.066926956176758 +1975,32,0,other external,21-24 yrs,21,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,51.20077896118164 +1975,32,0,internal,21-24 yrs,21,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,51.20077896118164 +1976,32,0,MVA,15-17 yrs,17,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,46.111698150634766 +1976,32,0,suicide,15-17 yrs,7,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,18.98716926574707 +1976,32,0,homicide,15-17 yrs,1,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,2.7124528884887695 +1976,32,0,other external,15-17 yrs,9,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,24.41207504272461 +1976,32,0,internal,15-17 yrs,4,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,10.849811553955078 +1976,32,0,all,18-20 yrs,81,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,232.35133361816406 +1976,32,0,MVA,18-20 yrs,33,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,94.66165924072266 +1976,32,0,suicide,18-20 yrs,12,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,34.422420501708984 +1976,32,0,homicide,18-20 yrs,12,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,34.422420501708984 +1976,32,0,other external,18-20 yrs,14,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,40.159488677978516 +1976,32,0,internal,18-20 yrs,10,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,28.68535041809082 +1976,32,0,all,21-24 yrs,83,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,183.27149963378906 +1976,32,0,MVA,21-24 yrs,29,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,64.03462219238281 +1976,32,0,suicide,21-24 yrs,19,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,41.95372009277344 +1976,32,0,homicide,21-24 yrs,7,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,15.456633567810059 +1976,32,0,other external,21-24 yrs,14,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,30.913267135620117 +1976,32,0,internal,21-24 yrs,14,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,30.913267135620117 +1977,32,0,MVA,15-17 yrs,27,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,70.36747741699219 +1977,32,0,suicide,15-17 yrs,6,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,15.637216567993164 +1977,32,0,homicide,15-17 yrs,2,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,5.212405681610107 +1977,32,0,other external,15-17 yrs,11,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,28.668230056762695 +1977,32,0,internal,15-17 yrs,6,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,15.637216567993164 +1977,32,0,all,18-20 yrs,85,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,230.72120666503906 +1977,32,0,MVA,18-20 yrs,36,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,97.71721649169922 +1977,32,0,suicide,18-20 yrs,14,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,38.00114059448242 +1977,32,0,homicide,18-20 yrs,7,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,19.00057029724121 +1977,32,0,other external,18-20 yrs,16,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,43.429874420166016 +1977,32,0,internal,18-20 yrs,12,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,32.57240676879883 +1977,32,0,all,21-24 yrs,101,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,203.60850524902344 +1977,32,0,MVA,21-24 yrs,32,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,64.50962829589844 +1977,32,0,suicide,21-24 yrs,27,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,54.429996490478516 +1977,32,0,homicide,21-24 yrs,16,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,32.25481414794922 +1977,32,0,other external,21-24 yrs,12,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,24.191110610961914 +1977,32,0,internal,21-24 yrs,14,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,28.22296142578125 +1978,32,0,MVA,15-17 yrs,30,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,74.72724914550781 +1978,32,0,suicide,15-17 yrs,3,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,7.472724437713623 +1978,32,0,homicide,15-17 yrs,3,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,7.472724437713623 +1978,32,0,other external,15-17 yrs,8,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,19.927265167236328 +1978,32,0,internal,15-17 yrs,8,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,19.927265167236328 +1978,32,0,all,18-20 yrs,72,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,186.9547119140625 +1978,32,0,MVA,18-20 yrs,37,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,96.0739517211914 +1978,32,0,suicide,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,homicide,18-20 yrs,8,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,20.772747039794922 +1978,32,0,other external,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,internal,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,all,21-24 yrs,128,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,235.11691284179688 +1978,32,0,MVA,21-24 yrs,60,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,110.21105194091797 +1978,32,0,suicide,21-24 yrs,18,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,33.063316345214844 +1978,32,0,homicide,21-24 yrs,13,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.87906265258789 +1978,32,0,other external,21-24 yrs,27,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,49.594974517822266 +1978,32,0,internal,21-24 yrs,10,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,18.36850929260254 +1979,32,0,MVA,15-17 yrs,36,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,86.73236083984375 +1979,32,0,suicide,15-17 yrs,5,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,12.046160697937012 +1979,32,0,homicide,15-17 yrs,1,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,2.4092321395874023 +1979,32,0,other external,15-17 yrs,8,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,19.27385711669922 +1979,32,0,internal,15-17 yrs,9,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,21.683090209960938 +1979,32,0,all,18-20 yrs,93,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,228.03619384765625 +1979,32,0,MVA,18-20 yrs,43,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,105.43608856201172 +1979,32,0,suicide,18-20 yrs,14,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,34.32802963256836 +1979,32,0,homicide,18-20 yrs,18,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,44.13603591918945 +1979,32,0,other external,18-20 yrs,10,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,24.520021438598633 +1979,32,0,internal,18-20 yrs,8,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,19.616016387939453 +1979,32,0,all,21-24 yrs,139,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,234.68629455566406 +1979,32,0,MVA,21-24 yrs,81,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,136.7596435546875 +1979,32,0,suicide,21-24 yrs,19,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,32.07942199707031 +1979,32,0,homicide,21-24 yrs,12,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,20.26068687438965 +1979,32,0,other external,21-24 yrs,15,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,25.32585906982422 +1979,32,0,internal,21-24 yrs,12,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,20.26068687438965 +1980,32,0,MVA,15-17 yrs,26,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,61.465721130371094 +1980,32,0,suicide,15-17 yrs,5,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,11.820330619812012 +1980,32,0,homicide,15-17 yrs,6,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,14.184396743774414 +1980,32,0,other external,15-17 yrs,9,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,21.276596069335938 +1980,32,0,internal,15-17 yrs,7,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,16.548463821411133 +1980,32,0,all,18-20 yrs,94,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,218.33554077148438 +1980,32,0,MVA,18-20 yrs,46,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,106.84505462646484 +1980,32,0,suicide,18-20 yrs,8,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,18.581748962402344 +1980,32,0,homicide,18-20 yrs,7,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,16.259029388427734 +1980,32,0,other external,18-20 yrs,21,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,48.7770881652832 +1980,32,0,internal,18-20 yrs,12,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,27.872621536254883 +1980,32,0,all,21-24 yrs,151,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,239.7320098876953 +1980,32,0,MVA,21-24 yrs,49,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,77.79383087158203 +1980,32,0,suicide,21-24 yrs,30,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,47.628875732421875 +1980,32,0,homicide,21-24 yrs,24,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,38.10309982299805 +1980,32,0,other external,21-24 yrs,28,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,44.453617095947266 +1980,32,0,internal,21-24 yrs,20,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,31.75258445739746 +1981,32,0,MVA,15-17 yrs,18,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,42.81840133666992 +1981,32,0,suicide,15-17 yrs,5,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,11.894001007080078 +1981,32,0,homicide,15-17 yrs,5,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,11.894001007080078 +1981,32,0,other external,15-17 yrs,8,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,19.0304012298584 +1981,32,0,internal,15-17 yrs,10,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,23.788002014160156 +1981,32,0,all,18-20 yrs,89,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,200.54981994628906 +1981,32,0,MVA,18-20 yrs,38,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,85.62801361083984 +1981,32,0,suicide,18-20 yrs,11,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,24.78705596923828 +1981,32,0,homicide,18-20 yrs,12,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,27.04042625427246 +1981,32,0,other external,18-20 yrs,16,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,36.05390167236328 +1981,32,0,internal,18-20 yrs,12,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,27.04042625427246 +1981,32,0,all,21-24 yrs,132,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,207.20834350585938 +1981,32,0,MVA,21-24 yrs,48,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,75.3484878540039 +1981,32,0,suicide,21-24 yrs,33,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,51.802085876464844 +1981,32,0,homicide,21-24 yrs,19,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,29.825443267822266 +1981,32,0,other external,21-24 yrs,17,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,26.685922622680664 +1981,32,0,internal,21-24 yrs,15,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,23.546401977539062 +1982,32,0,MVA,15-17 yrs,13,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,31.45414924621582 +1982,32,0,suicide,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,homicide,15-17 yrs,3,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,7.258649826049805 +1982,32,0,other external,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,internal,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,all,18-20 yrs,83,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,183.4700164794922 +1982,32,0,MVA,18-20 yrs,44,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,97.26121520996094 +1982,32,0,suicide,18-20 yrs,9,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.894338607788086 +1982,32,0,homicide,18-20 yrs,11,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,24.315303802490234 +1982,32,0,other external,18-20 yrs,8,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,17.683856964111328 +1982,32,0,internal,18-20 yrs,11,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,24.315303802490234 +1982,32,0,all,21-24 yrs,163,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,257.1626892089844 +1982,32,0,MVA,21-24 yrs,54,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,85.19499969482422 +1982,32,0,suicide,21-24 yrs,32,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,50.48592758178711 +1982,32,0,homicide,21-24 yrs,13,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,20.50990867614746 +1982,32,0,other external,21-24 yrs,42,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,66.26277923583984 +1982,32,0,internal,21-24 yrs,22,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,34.709075927734375 +1983,32,0,MVA,15-17 yrs,13,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,32.34635543823242 +1983,32,0,suicide,15-17 yrs,2,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,4.976362228393555 +1983,32,0,homicide,15-17 yrs,2,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,4.976362228393555 +1983,32,0,other external,15-17 yrs,6,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,14.929086685180664 +1983,32,0,internal,15-17 yrs,4,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,9.95272445678711 +1983,32,0,all,18-20 yrs,74,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,163.8582000732422 +1983,32,0,MVA,18-20 yrs,34,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,75.28620147705078 +1983,32,0,suicide,18-20 yrs,16,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,35.42879867553711 +1983,32,0,homicide,18-20 yrs,10,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,22.14299964904785 +1983,32,0,other external,18-20 yrs,7,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.500099182128906 +1983,32,0,internal,18-20 yrs,7,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.500099182128906 +1983,32,0,all,21-24 yrs,93,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,148.55043029785156 +1983,32,0,MVA,21-24 yrs,37,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,59.100711822509766 +1983,32,0,suicide,21-24 yrs,14,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,22.362430572509766 +1983,32,0,homicide,21-24 yrs,13,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,20.765113830566406 +1983,32,0,other external,21-24 yrs,19,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,30.349014282226562 +1983,32,0,internal,21-24 yrs,10,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.973165512084961 +1984,32,0,MVA,15-17 yrs,14,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,35.17145919799805 +1984,32,0,suicide,15-17 yrs,7,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,17.585729598999023 +1984,32,0,homicide,15-17 yrs,2,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,5.024494647979736 +1984,32,0,other external,15-17 yrs,6,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,15.07348346710205 +1984,32,0,internal,15-17 yrs,4,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,10.048989295959473 +1984,32,0,all,18-20 yrs,65,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,148.92886352539062 +1984,32,0,MVA,18-20 yrs,36,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,82.483673095703125 +1984,32,0,suicide,18-20 yrs,6,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,13.747279167175293 +1984,32,0,homicide,18-20 yrs,6,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,13.747279167175293 +1984,32,0,other external,18-20 yrs,10,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,22.912132263183594 +1984,32,0,internal,18-20 yrs,7,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,16.03849220275879 +1984,32,0,all,21-24 yrs,125,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,196.5316162109375 +1984,32,0,MVA,21-24 yrs,38,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,59.745609283447266 +1984,32,0,suicide,21-24 yrs,28,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,44.02307891845703 +1984,32,0,homicide,21-24 yrs,15,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,23.58379364013672 +1984,32,0,other external,21-24 yrs,22,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,34.58956527709961 +1984,32,0,internal,21-24 yrs,22,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,34.58956527709961 +1985,32,0,MVA,15-17 yrs,15,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,37.03886795043945 +1985,32,0,suicide,15-17 yrs,2,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,4.938515663146973 +1985,32,0,homicide,15-17 yrs,1,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,2.4692578315734863 +1985,32,0,other external,15-17 yrs,4,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,9.877031326293945 +1985,32,0,internal,15-17 yrs,6,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.815546035766602 +1985,32,0,all,18-20 yrs,57,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,135.2281036376953 +1985,32,0,MVA,18-20 yrs,23,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,54.56572723388672 +1985,32,0,suicide,18-20 yrs,14,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,33.21392059326172 +1985,32,0,homicide,18-20 yrs,6,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.234538078308105 +1985,32,0,other external,18-20 yrs,8,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,18.97938346862793 +1985,32,0,internal,18-20 yrs,6,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.234538078308105 +1985,32,0,all,21-24 yrs,131,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,200.7386016845703 +1985,32,0,MVA,21-24 yrs,45,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,68.95600891113281 +1985,32,0,suicide,21-24 yrs,30,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,45.970672607421875 +1985,32,0,homicide,21-24 yrs,14,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,21.452980041503906 +1985,32,0,other external,21-24 yrs,24,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,36.77653503417969 +1985,32,0,internal,21-24 yrs,18,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,27.5824031829834 +1986,32,0,MVA,15-17 yrs,14,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,33.451210021972656 +1986,32,0,suicide,15-17 yrs,5,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,11.946860313415527 +1986,32,0,homicide,15-17 yrs,1,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,2.3893721103668213 +1986,32,0,other external,15-17 yrs,5,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,11.946860313415527 +1986,32,0,internal,15-17 yrs,8,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,19.11497688293457 +1986,32,0,all,18-20 yrs,63,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,153.1468048095703 +1986,32,0,MVA,18-20 yrs,33,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,80.219757080078125 +1986,32,0,suicide,18-20 yrs,11,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,26.739917755126953 +1986,32,0,homicide,18-20 yrs,8,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,19.44721221923828 +1986,32,0,other external,18-20 yrs,6,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,14.585410118103027 +1986,32,0,internal,18-20 yrs,5,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,12.154507637023926 +1986,32,0,all,21-24 yrs,108,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,161.894775390625 +1986,32,0,MVA,21-24 yrs,37,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,55.46394729614258 +1986,32,0,suicide,21-24 yrs,27,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,40.47369384765625 +1986,32,0,homicide,21-24 yrs,11,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,16.489282608032227 +1986,32,0,other external,21-24 yrs,14,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,20.986358642578125 +1986,32,0,internal,21-24 yrs,19,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,28.481487274169922 +1987,32,0,MVA,15-17 yrs,18,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,42.16641616821289 +1987,32,0,suicide,15-17 yrs,11,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,25.76836585998535 +1987,32,0,homicide,15-17 yrs,3,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,7.027736186981201 +1987,32,0,other external,15-17 yrs,4,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,9.370314598083496 +1987,32,0,internal,15-17 yrs,7,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,16.39805030822754 +1987,32,0,all,18-20 yrs,52,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,124.88592529296875 +1987,32,0,MVA,18-20 yrs,28,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,67.24626922607422 +1987,32,0,suicide,18-20 yrs,4,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,9.606609344482422 +1987,32,0,homicide,18-20 yrs,8,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,19.213218688964844 +1987,32,0,other external,18-20 yrs,6,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,14.409914016723633 +1987,32,0,internal,18-20 yrs,6,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,14.409914016723633 +1987,32,0,all,21-24 yrs,79,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,115.25611877441406 +1987,32,0,MVA,21-24 yrs,34,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,49.60389709472656 +1987,32,0,suicide,21-24 yrs,24,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,35.0145149230957 +1987,32,0,homicide,21-24 yrs,4,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,5.835752964019775 +1987,32,0,other external,21-24 yrs,5,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,7.29469108581543 +1987,32,0,internal,21-24 yrs,12,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,17.50725746154785 +1988,32,0,MVA,15-17 yrs,12,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,28.07740020751953 +1988,32,0,suicide,15-17 yrs,8,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,18.7182674407959 +1988,32,0,homicide,15-17 yrs,6,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,14.038700103759766 +1988,32,0,other external,15-17 yrs,5,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.6989164352417 +1988,32,0,internal,15-17 yrs,5,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.6989164352417 +1988,32,0,all,18-20 yrs,54,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,124.67100524902344 +1988,32,0,MVA,18-20 yrs,28,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,64.64422607421875 +1988,32,0,suicide,18-20 yrs,7,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,16.161056518554688 +1988,32,0,homicide,18-20 yrs,5,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.543611526489258 +1988,32,0,other external,18-20 yrs,6,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,13.852334022521973 +1988,32,0,internal,18-20 yrs,8,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,18.469778060913086 +1988,32,0,all,21-24 yrs,119,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,172.25904846191406 +1988,32,0,MVA,21-24 yrs,46,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,66.58753204345703 +1988,32,0,suicide,21-24 yrs,23,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,33.293766021728516 +1988,32,0,homicide,21-24 yrs,15,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,21.71332550048828 +1988,32,0,other external,21-24 yrs,9,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,13.027996063232422 +1988,32,0,internal,21-24 yrs,26,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,37.63643264770508 +1989,32,0,MVA,15-17 yrs,21,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,49.90257263183594 +1989,32,0,suicide,15-17 yrs,6,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,14.257877349853516 +1989,32,0,homicide,15-17 yrs,6,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,14.257877349853516 +1989,32,0,other external,15-17 yrs,3,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,7.128938674926758 +1989,32,0,internal,15-17 yrs,5,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,11.881564140319824 +1989,32,0,all,18-20 yrs,67,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,144.1170196533203 +1989,32,0,MVA,18-20 yrs,29,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,62.379005432128906 +1989,32,0,suicide,18-20 yrs,14,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,30.114002227783203 +1989,32,0,homicide,18-20 yrs,9,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,19.35900115966797 +1989,32,0,other external,18-20 yrs,8,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,17.2080020904541 +1989,32,0,internal,18-20 yrs,7,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,15.057001113891602 +1989,32,0,all,21-24 yrs,97,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,137.5710906982422 +1989,32,0,MVA,21-24 yrs,35,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,49.63905334472656 +1989,32,0,suicide,21-24 yrs,14,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,19.855621337890625 +1989,32,0,homicide,21-24 yrs,16,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,22.692138671875 +1989,32,0,other external,21-24 yrs,13,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,18.437362670898438 +1989,32,0,internal,21-24 yrs,19,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,26.946914672851562 +1990,32,0,MVA,15-17 yrs,23,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,50.771507263183594 +1990,32,0,suicide,15-17 yrs,5,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,11.037283897399902 +1990,32,0,homicide,15-17 yrs,6,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,13.24474048614502 +1990,32,0,other external,15-17 yrs,3,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,6.62237024307251 +1990,32,0,internal,15-17 yrs,4,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,8.829827308654785 +1990,32,0,all,18-20 yrs,78,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,162.94129943847656 +1990,32,0,MVA,18-20 yrs,39,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,81.47064971923828 +1990,32,0,suicide,18-20 yrs,15,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,31.33486557006836 +1990,32,0,homicide,18-20 yrs,12,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,25.06789207458496 +1990,32,0,other external,18-20 yrs,4,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,8.355963706970215 +1990,32,0,internal,18-20 yrs,8,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,16.71192741394043 +1990,32,0,all,21-24 yrs,102,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,143.62757873535156 +1990,32,0,MVA,21-24 yrs,48,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,67.589447021484375 +1990,32,0,suicide,21-24 yrs,19,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,26.75415802001953 +1990,32,0,homicide,21-24 yrs,16,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,22.529817581176758 +1990,32,0,other external,21-24 yrs,7,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,9.856795310974121 +1990,32,0,internal,21-24 yrs,12,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,16.897361755371094 +1991,32,0,MVA,15-17 yrs,13,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,28.38551902770996 +1991,32,0,suicide,15-17 yrs,9,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,19.651514053344727 +1991,32,0,homicide,15-17 yrs,9,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,19.651514053344727 +1991,32,0,other external,15-17 yrs,3,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,6.550504207611084 +1991,32,0,internal,15-17 yrs,2,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,4.367002964019775 +1991,32,0,all,18-20 yrs,69,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,141.2949981689453 +1991,32,0,MVA,18-20 yrs,25,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,51.19384002685547 +1991,32,0,suicide,18-20 yrs,13,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,26.62079620361328 +1991,32,0,homicide,18-20 yrs,18,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,36.85956573486328 +1991,32,0,other external,18-20 yrs,5,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,10.238767623901367 +1991,32,0,internal,18-20 yrs,8,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,16.382028579711914 +1991,32,0,all,21-24 yrs,118,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,163.63661193847656 +1991,32,0,MVA,21-24 yrs,39,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,54.083290100097656 +1991,32,0,suicide,21-24 yrs,23,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,31.895273208618164 +1991,32,0,homicide,21-24 yrs,30,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,41.6025276184082 +1991,32,0,other external,21-24 yrs,11,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,15.254261016845703 +1991,32,0,internal,21-24 yrs,15,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,20.8012638092041 +1992,32,0,MVA,15-17 yrs,18,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,37.69081115722656 +1992,32,0,suicide,15-17 yrs,5,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,10.469669342041016 +1992,32,0,homicide,15-17 yrs,9,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,18.84540557861328 +1992,32,0,other external,15-17 yrs,6,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,12.563603401184082 +1992,32,0,internal,15-17 yrs,3,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,6.281801700592041 +1992,32,0,all,18-20 yrs,62,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,127.86405181884766 +1992,32,0,MVA,18-20 yrs,19,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,39.18414306640625 +1992,32,0,suicide,18-20 yrs,11,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,22.685558319091797 +1992,32,0,homicide,18-20 yrs,18,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,37.121822357177734 +1992,32,0,other external,18-20 yrs,4,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,8.249293327331543 +1992,32,0,internal,18-20 yrs,10,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,20.623233795166016 +1992,32,0,all,21-24 yrs,100,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,140.1247100830078 +1992,32,0,MVA,21-24 yrs,31,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,43.43865966796875 +1992,32,0,suicide,21-24 yrs,24,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,33.62993240356445 +1992,32,0,homicide,21-24 yrs,13,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,18.21621322631836 +1992,32,0,other external,21-24 yrs,9,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,12.611224174499512 +1992,32,0,internal,21-24 yrs,23,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,32.22868347167969 +1993,32,0,MVA,15-17 yrs,15,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,29.833528518676758 +1993,32,0,suicide,15-17 yrs,3,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,5.966705799102783 +1993,32,0,homicide,15-17 yrs,8,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,15.911215782165527 +1993,32,0,other external,15-17 yrs,8,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,15.911215782165527 +1993,32,0,internal,15-17 yrs,4,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,7.955607891082764 +1993,32,0,all,18-20 yrs,53,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,107.84632873535156 +1993,32,0,MVA,18-20 yrs,13,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,26.45287322998047 +1993,32,0,suicide,18-20 yrs,14,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,28.487709045410156 +1993,32,0,homicide,18-20 yrs,12,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,24.41803741455078 +1993,32,0,other external,18-20 yrs,4,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,8.139345169067383 +1993,32,0,internal,18-20 yrs,10,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,20.348363876342773 +1993,32,0,all,21-24 yrs,129,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,182.45594787597656 +1993,32,0,MVA,21-24 yrs,33,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,46.674774169921875 +1993,32,0,suicide,21-24 yrs,36,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,50.917938232421875 +1993,32,0,homicide,21-24 yrs,22,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,31.116518020629883 +1993,32,0,other external,21-24 yrs,17,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,24.04458236694336 +1993,32,0,internal,21-24 yrs,21,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,29.702129364013672 +1994,32,0,MVA,15-17 yrs,14,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,25.676294326782227 +1994,32,0,suicide,15-17 yrs,9,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,16.506189346313477 +1994,32,0,homicide,15-17 yrs,6,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,11.00412654876709 +1994,32,0,other external,15-17 yrs,7,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,12.838147163391113 +1994,32,0,internal,15-17 yrs,11,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,20.174232482910156 +1994,32,0,all,18-20 yrs,85,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,166.48060607910156 +1994,32,0,MVA,18-20 yrs,23,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,45.047691345214844 +1994,32,0,suicide,18-20 yrs,17,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,33.296119689941406 +1994,32,0,homicide,18-20 yrs,23,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,45.047691345214844 +1994,32,0,other external,18-20 yrs,9,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,17.627357482910156 +1994,32,0,internal,18-20 yrs,13,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,25.46173858642578 +1994,32,0,all,21-24 yrs,119,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,163.46827697753906 +1994,32,0,MVA,21-24 yrs,37,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,50.826271057128906 +1994,32,0,suicide,21-24 yrs,32,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,43.957855224609375 +1994,32,0,homicide,21-24 yrs,18,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,24.726293563842773 +1994,32,0,other external,21-24 yrs,13,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,17.857879638671875 +1994,32,0,internal,21-24 yrs,19,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,26.099977493286133 +1995,32,0,MVA,15-17 yrs,13,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,22.188087463378906 +1995,32,0,suicide,15-17 yrs,16,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,27.308414459228516 +1995,32,0,homicide,15-17 yrs,9,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,15.360982894897461 +1995,32,0,other external,15-17 yrs,1,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,1.7067759037017822 +1995,32,0,internal,15-17 yrs,8,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,13.654207229614258 +1995,32,0,all,18-20 yrs,81,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,149.65634155273438 +1995,32,0,MVA,18-20 yrs,34,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,62.8187141418457 +1995,32,0,suicide,18-20 yrs,9,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,16.628482818603516 +1995,32,0,homicide,18-20 yrs,16,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,29.56174659729004 +1995,32,0,other external,18-20 yrs,14,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,25.86652946472168 +1995,32,0,internal,18-20 yrs,8,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,14.78087329864502 +1995,32,0,all,21-24 yrs,119,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,160.53529357910156 +1995,32,0,MVA,21-24 yrs,24,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,32.37686538696289 +1995,32,0,suicide,21-24 yrs,40,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,53.96144485473633 +1995,32,0,homicide,21-24 yrs,28,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,37.77301025390625 +1995,32,0,other external,21-24 yrs,15,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,20.23554229736328 +1995,32,0,internal,21-24 yrs,12,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,16.188432693481445 +1996,32,0,MVA,15-17 yrs,20,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,31.77023696899414 +1996,32,0,suicide,15-17 yrs,8,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,12.708094596862793 +1996,32,0,homicide,15-17 yrs,12,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,19.062143325805664 +1996,32,0,other external,15-17 yrs,8,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,12.708094596862793 +1996,32,0,internal,15-17 yrs,12,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,19.062143325805664 +1996,32,0,all,18-20 yrs,75,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,131.51895141601562 +1996,32,0,MVA,18-20 yrs,27,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,47.346824645996094 +1996,32,0,suicide,18-20 yrs,13,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,22.796619415283203 +1996,32,0,homicide,18-20 yrs,18,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,31.564550399780273 +1996,32,0,other external,18-20 yrs,9,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,15.782275199890137 +1996,32,0,internal,18-20 yrs,8,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,14.028688430786133 +1996,32,0,all,21-24 yrs,117,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,153.78549194335938 +1996,32,0,MVA,21-24 yrs,31,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,40.74658203125 +1996,32,0,suicide,21-24 yrs,29,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,38.11777114868164 +1996,32,0,homicide,21-24 yrs,26,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,34.17455291748047 +1996,32,0,other external,21-24 yrs,12,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,15.772871017456055 +1996,32,0,internal,21-24 yrs,19,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,24.973711013793945 +1970,33,0,MVA,15-17 yrs,25,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,62.5672607421875 +1970,33,0,suicide,15-17 yrs,1,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.502690315246582 +1970,33,0,homicide,15-17 yrs,0,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,0 +1970,33,0,other external,15-17 yrs,8,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,20.021522521972656 +1970,33,0,internal,15-17 yrs,4,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,10.010761260986328 +1970,33,0,all,18-20 yrs,45,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,111.99601745605469 +1970,33,0,MVA,18-20 yrs,24,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,59.73120880126953 +1970,33,0,suicide,18-20 yrs,1,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.488800287246704 +1970,33,0,homicide,18-20 yrs,1,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.488800287246704 +1970,33,0,other external,18-20 yrs,11,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,27.37680435180664 +1970,33,0,internal,18-20 yrs,8,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,19.910402297973633 +1970,33,0,all,21-24 yrs,55,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,120.33168029785156 +1970,33,0,MVA,21-24 yrs,20,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,43.75697326660156 +1970,33,0,suicide,21-24 yrs,7,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,15.314940452575684 +1970,33,0,homicide,21-24 yrs,1,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.1878488063812256 +1970,33,0,other external,21-24 yrs,9,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,19.690637588500977 +1970,33,0,internal,21-24 yrs,18,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,39.38127517700195 +1971,33,0,MVA,15-17 yrs,21,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,50.359710693359375 +1971,33,0,suicide,15-17 yrs,2,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,4.796163082122803 +1971,33,0,homicide,15-17 yrs,0,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,0 +1971,33,0,other external,15-17 yrs,9,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,21.582733154296875 +1971,33,0,internal,15-17 yrs,4,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,9.592326164245605 +1971,33,0,all,18-20 yrs,61,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,150.0430450439453 +1971,33,0,MVA,18-20 yrs,29,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,71.331939697265625 +1971,33,0,suicide,18-20 yrs,7,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,17.218053817749023 +1971,33,0,homicide,18-20 yrs,2,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,4.9194440841674805 +1971,33,0,other external,18-20 yrs,15,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,36.89583206176758 +1971,33,0,internal,18-20 yrs,8,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,19.677776336669922 +1971,33,0,all,21-24 yrs,68,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,128.36727905273438 +1971,33,0,MVA,21-24 yrs,26,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,49.081607818603516 +1971,33,0,suicide,21-24 yrs,10,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,18.877540588378906 +1971,33,0,homicide,21-24 yrs,0,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,0 +1971,33,0,other external,21-24 yrs,14,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,26.428558349609375 +1971,33,0,internal,21-24 yrs,18,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,33.979576110839844 +1972,33,0,MVA,15-17 yrs,12,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,27.525461196899414 +1972,33,0,suicide,15-17 yrs,4,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,9.175153732299805 +1972,33,0,homicide,15-17 yrs,0,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,0 +1972,33,0,other external,15-17 yrs,8,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,18.35030746459961 +1972,33,0,internal,15-17 yrs,10,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,22.937883377075195 +1972,33,0,all,18-20 yrs,48,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,116.58692169189453 +1972,33,0,MVA,18-20 yrs,18,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,43.7200927734375 +1972,33,0,suicide,18-20 yrs,8,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,19.43115234375 +1972,33,0,homicide,18-20 yrs,4,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,9.715576171875 +1972,33,0,other external,18-20 yrs,10,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,24.2889404296875 +1972,33,0,internal,18-20 yrs,8,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,19.43115234375 +1972,33,0,all,21-24 yrs,48,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,87.44602966308594 +1972,33,0,MVA,21-24 yrs,24,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,43.72301483154297 +1972,33,0,suicide,21-24 yrs,2,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,3.6435844898223877 +1972,33,0,homicide,21-24 yrs,2,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,3.6435844898223877 +1972,33,0,other external,21-24 yrs,8,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,14.57433795928955 +1972,33,0,internal,21-24 yrs,12,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,21.861507415771484 +1973,33,0.5863013863563538,MVA,15-17 yrs,15,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,33.04401397705078 +1973,33,0.5863013863563538,suicide,15-17 yrs,5,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,11.014671325683594 +1973,33,0.5863013863563538,homicide,15-17 yrs,1,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,2.2029342651367188 +1973,33,0.5863013863563538,other external,15-17 yrs,11,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,24.232276916503906 +1973,33,0.5863013863563538,internal,15-17 yrs,4,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,8.811737060546875 +1973,33,0.5863013863563538,all,18-20 yrs,48,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,114.07115173339844 +1973,33,0.5863013863563538,MVA,18-20 yrs,25,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,59.41205978393555 +1973,33,0.5863013863563538,suicide,18-20 yrs,6,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,14.258893966674805 +1973,33,0.5863013863563538,homicide,18-20 yrs,2,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,4.752964496612549 +1973,33,0.5863013863563538,other external,18-20 yrs,11,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,26.141305923461914 +1973,33,0.5863013863563538,internal,18-20 yrs,4,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,9.505928993225098 +1973,33,0.5863013863563538,all,21-24 yrs,61,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,108.45986938476562 +1973,33,0.5863013863563538,MVA,21-24 yrs,17,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,30.226520538330078 +1973,33,0.5863013863563538,suicide,21-24 yrs,10,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,17.780305862426758 +1973,33,0.5863013863563538,homicide,21-24 yrs,4,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,7.112122535705566 +1973,33,0.5863013863563538,other external,21-24 yrs,12,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,21.336368560791016 +1973,33,0.5863013863563538,internal,21-24 yrs,18,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,32.00455093383789 +1974,33,1,MVA,15-17 yrs,21,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,44.87562942504883 +1974,33,1,suicide,15-17 yrs,0,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,0 +1974,33,1,homicide,15-17 yrs,1,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,2.136934757232666 +1974,33,1,other external,15-17 yrs,9,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,19.232412338256836 +1974,33,1,internal,15-17 yrs,10,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,21.369348526000977 +1974,33,1,all,18-20 yrs,66,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,149.3584442138672 +1974,33,1,MVA,18-20 yrs,31,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,70.15320587158203 +1974,33,1,suicide,18-20 yrs,12,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,27.15608024597168 +1974,33,1,homicide,18-20 yrs,4,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,9.052026748657227 +1974,33,1,other external,18-20 yrs,9,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,20.3670597076416 +1974,33,1,internal,18-20 yrs,10,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,22.63006591796875 +1974,33,1,all,21-24 yrs,49,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,87.65339660644531 +1974,33,1,MVA,21-24 yrs,23,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,41.143428802490234 +1974,33,1,suicide,21-24 yrs,8,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,14.310757637023926 +1974,33,1,homicide,21-24 yrs,2,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,3.5776894092559814 +1974,33,1,other external,21-24 yrs,4,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,7.155378818511963 +1974,33,1,internal,21-24 yrs,12,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,21.466136932373047 +1975,33,1,MVA,15-17 yrs,14,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,29.52901268005371 +1975,33,1,suicide,15-17 yrs,3,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,6.327645301818848 +1975,33,1,homicide,15-17 yrs,1,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,2.109215259552002 +1975,33,1,other external,15-17 yrs,11,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.201366424560547 +1975,33,1,internal,15-17 yrs,6,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,12.655290603637695 +1975,33,1,all,18-20 yrs,44,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,95.20100402832031 +1975,33,1,MVA,18-20 yrs,18,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,38.945865631103516 +1975,33,1,suicide,18-20 yrs,8,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,17.30927276611328 +1975,33,1,homicide,18-20 yrs,1,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,2.16365909576416 +1975,33,1,other external,18-20 yrs,9,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,19.472932815551758 +1975,33,1,internal,18-20 yrs,8,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,17.30927276611328 +1975,33,1,all,21-24 yrs,74,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,132.46218872070312 +1975,33,1,MVA,21-24 yrs,28,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,50.120826721191406 +1975,33,1,suicide,21-24 yrs,19,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,34.010562896728516 +1975,33,1,homicide,21-24 yrs,1,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,1.790029525756836 +1975,33,1,other external,21-24 yrs,13,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.270383834838867 +1975,33,1,internal,21-24 yrs,13,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.270383834838867 +1976,33,1,MVA,15-17 yrs,19,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,39.06972885131836 +1976,33,1,suicide,15-17 yrs,0,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,0 +1976,33,1,homicide,15-17 yrs,0,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,0 +1976,33,1,other external,15-17 yrs,3,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,6.168904781341553 +1976,33,1,internal,15-17 yrs,7,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,14.394110679626465 +1976,33,1,all,18-20 yrs,56,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,116.17774963378906 +1976,33,1,MVA,18-20 yrs,30,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,62.23808288574219 +1976,33,1,suicide,18-20 yrs,3,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,6.223808288574219 +1976,33,1,homicide,18-20 yrs,2,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,4.149205207824707 +1976,33,1,other external,18-20 yrs,10,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,20.74602699279785 +1976,33,1,internal,18-20 yrs,11,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,22.820629119873047 +1976,33,1,all,21-24 yrs,56,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,99.7044448852539 +1976,33,1,MVA,21-24 yrs,23,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,40.950042724609375 +1976,33,1,suicide,21-24 yrs,8,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,14.243492126464844 +1976,33,1,homicide,21-24 yrs,1,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,1.7804365158081055 +1976,33,1,other external,21-24 yrs,10,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,17.804365158081055 +1976,33,1,internal,21-24 yrs,14,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,24.926111221313477 +1977,33,1,MVA,15-17 yrs,21,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,42.066463470458984 +1977,33,1,suicide,15-17 yrs,0,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,0 +1977,33,1,homicide,15-17 yrs,0,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,0 +1977,33,1,other external,15-17 yrs,11,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,22.034814834594727 +1977,33,1,internal,15-17 yrs,8,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,16.025320053100586 +1977,33,1,all,18-20 yrs,69,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,136.215576171875 +1977,33,1,MVA,18-20 yrs,33,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,65.1465835571289 +1977,33,1,suicide,18-20 yrs,10,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,19.74138832092285 +1977,33,1,homicide,18-20 yrs,2,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,3.948277473449707 +1977,33,1,other external,18-20 yrs,16,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,31.586219787597656 +1977,33,1,internal,18-20 yrs,8,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,15.793109893798828 +1977,33,1,all,21-24 yrs,44,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,75.81109619140625 +1977,33,1,MVA,21-24 yrs,16,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,27.567670822143555 +1977,33,1,suicide,21-24 yrs,12,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,20.675752639770508 +1977,33,1,homicide,21-24 yrs,2,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,3.4459588527679443 +1977,33,1,other external,21-24 yrs,6,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,10.337876319885254 +1977,33,1,internal,21-24 yrs,8,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,13.783835411071777 +1978,33,1,MVA,15-17 yrs,23,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,45.19995880126953 +1978,33,1,suicide,15-17 yrs,6,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,11.79129409790039 +1978,33,1,homicide,15-17 yrs,1,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,1.9652156829833984 +1978,33,1,other external,15-17 yrs,9,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,17.686941146850586 +1978,33,1,internal,15-17 yrs,6,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,11.79129409790039 +1978,33,1,all,18-20 yrs,51,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,97.47706604003906 +1978,33,1,MVA,18-20 yrs,22,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,42.04893112182617 +1978,33,1,suicide,18-20 yrs,7,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,13.379204750061035 +1978,33,1,homicide,18-20 yrs,2,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,3.822629928588867 +1978,33,1,other external,18-20 yrs,10,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,19.113149642944336 +1978,33,1,internal,18-20 yrs,10,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,19.113149642944336 +1978,33,1,all,21-24 yrs,66,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,107.85547637939453 +1978,33,1,MVA,21-24 yrs,33,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,53.927738189697266 +1978,33,1,suicide,21-24 yrs,9,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,14.707564353942871 +1978,33,1,homicide,21-24 yrs,0,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,0 +1978,33,1,other external,21-24 yrs,10,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,16.341737747192383 +1978,33,1,internal,21-24 yrs,14,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,22.878433227539062 +1979,33,0.5892310738563538,MVA,15-17 yrs,26,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,51.014400482177734 +1979,33,0.5892310738563538,suicide,15-17 yrs,2,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,3.924184799194336 +1979,33,0.5892310738563538,homicide,15-17 yrs,0,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,0 +1979,33,0.5892310738563538,other external,15-17 yrs,7,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,13.734646797180176 +1979,33,0.5892310738563538,internal,15-17 yrs,11,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.58301544189453 +1979,33,0.5892310738563538,all,18-20 yrs,54,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,99.84838104248047 +1979,33,0.5892310738563538,MVA,18-20 yrs,22,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,40.67897033691406 +1979,33,0.5892310738563538,suicide,18-20 yrs,7,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,12.943307876586914 +1979,33,0.5892310738563538,homicide,18-20 yrs,0,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,0 +1979,33,0.5892310738563538,other external,18-20 yrs,15,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,27.735660552978516 +1979,33,0.5892310738563538,internal,18-20 yrs,10,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,18.490440368652344 +1979,33,0.5892310738563538,all,21-24 yrs,64,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,100.34493255615234 +1979,33,0.5892310738563538,MVA,21-24 yrs,27,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,42.3330192565918 +1979,33,0.5892310738563538,suicide,21-24 yrs,14,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.950454711914062 +1979,33,0.5892310738563538,homicide,21-24 yrs,2,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,3.1357791423797607 +1979,33,0.5892310738563538,other external,21-24 yrs,7,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,10.975227355957031 +1979,33,0.5892310738563538,internal,21-24 yrs,14,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.950454711914062 +1980,33,0.32997751235961914,MVA,15-17 yrs,17,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,33.54314422607422 +1980,33,0.32997751235961914,suicide,15-17 yrs,4,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,7.8925042152404785 +1980,33,0.32997751235961914,homicide,15-17 yrs,0,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,0 +1980,33,0.32997751235961914,other external,15-17 yrs,8,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,15.785008430480957 +1980,33,0.32997751235961914,internal,15-17 yrs,6,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,11.838756561279297 +1980,33,0.32997751235961914,all,18-20 yrs,62,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,113.28131866455078 +1980,33,0.32997751235961914,MVA,18-20 yrs,39,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,71.25760650634766 +1980,33,0.32997751235961914,suicide,18-20 yrs,8,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,14.616944313049316 +1980,33,0.32997751235961914,homicide,18-20 yrs,1,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,1.8271180391311646 +1980,33,0.32997751235961914,other external,18-20 yrs,8,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,14.616944313049316 +1980,33,0.32997751235961914,internal,18-20 yrs,6,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,10.962708473205566 +1980,33,0.32997751235961914,all,21-24 yrs,79,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,119.03685760498047 +1980,33,0.32997751235961914,MVA,21-24 yrs,37,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,55.75143814086914 +1980,33,0.32997751235961914,suicide,21-24 yrs,11,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,16.574752807617188 +1980,33,0.32997751235961914,homicide,21-24 yrs,6,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,9.04077434539795 +1980,33,0.32997751235961914,other external,21-24 yrs,16,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,24.10873031616211 +1980,33,0.32997751235961914,internal,21-24 yrs,9,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,13.561161041259766 +1981,33,0.3544958829879761,MVA,15-17 yrs,12,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,24.214052200317383 +1981,33,0.3544958829879761,suicide,15-17 yrs,4,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,8.071351051330566 +1981,33,0.3544958829879761,homicide,15-17 yrs,0,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,0 +1981,33,0.3544958829879761,other external,15-17 yrs,8,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,16.142702102661133 +1981,33,0.3544958829879761,internal,15-17 yrs,9,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,18.160539627075195 +1981,33,0.3544958829879761,all,18-20 yrs,63,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,117.25947570800781 +1981,33,0.3544958829879761,MVA,18-20 yrs,31,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,57.6991081237793 +1981,33,0.3544958829879761,suicide,18-20 yrs,12,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,22.33513832092285 +1981,33,0.3544958829879761,homicide,18-20 yrs,1,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,1.8612616062164307 +1981,33,0.3544958829879761,other external,18-20 yrs,12,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,22.33513832092285 +1981,33,0.3544958829879761,internal,18-20 yrs,7,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,13.028830528259277 +1981,33,0.3544958829879761,all,21-24 yrs,65,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,94.66800689697266 +1981,33,0.3544958829879761,MVA,21-24 yrs,29,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,42.23649597167969 +1981,33,0.3544958829879761,suicide,21-24 yrs,12,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,17.477170944213867 +1981,33,0.3544958829879761,homicide,21-24 yrs,5,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,7.282154560089111 +1981,33,0.3544958829879761,other external,21-24 yrs,10,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,14.564309120178223 +1981,33,0.3544958829879761,internal,21-24 yrs,9,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,13.107877731323242 +1982,33,0.3479507267475128,MVA,15-17 yrs,19,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,39.56932067871094 +1982,33,0.3479507267475128,suicide,15-17 yrs,2,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,4.165191650390625 +1982,33,0.3479507267475128,homicide,15-17 yrs,0,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,0 +1982,33,0.3479507267475128,other external,15-17 yrs,4,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,8.33038330078125 +1982,33,0.3479507267475128,internal,15-17 yrs,10,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,20.825958251953125 +1982,33,0.3479507267475128,all,18-20 yrs,53,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,101.9819107055664 +1982,33,0.3479507267475128,MVA,18-20 yrs,28,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,53.877235412597656 +1982,33,0.3479507267475128,suicide,18-20 yrs,7,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,13.469308853149414 +1982,33,0.3479507267475128,homicide,18-20 yrs,2,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,3.848374128341675 +1982,33,0.3479507267475128,other external,18-20 yrs,6,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,11.545122146606445 +1982,33,0.3479507267475128,internal,18-20 yrs,10,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,19.241870880126953 +1982,33,0.3479507267475128,all,21-24 yrs,63,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,89.049713134765625 +1982,33,0.3479507267475128,MVA,21-24 yrs,30,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,42.404624938964844 +1982,33,0.3479507267475128,suicide,21-24 yrs,9,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,12.72138786315918 +1982,33,0.3479507267475128,homicide,21-24 yrs,4,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,5.653950214385986 +1982,33,0.3479507267475128,other external,21-24 yrs,13,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,18.375337600708008 +1982,33,0.3479507267475128,internal,21-24 yrs,7,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,9.89441204071045 +1983,33,0.33515581488609314,MVA,15-17 yrs,18,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,38.905460357666016 +1983,33,0.33515581488609314,suicide,15-17 yrs,2,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,4.322828769683838 +1983,33,0.33515581488609314,homicide,15-17 yrs,0,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,0 +1983,33,0.33515581488609314,other external,15-17 yrs,3,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,6.484243392944336 +1983,33,0.33515581488609314,internal,15-17 yrs,5,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,10.807071685791016 +1983,33,0.33515581488609314,all,18-20 yrs,56,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,109.34937286376953 +1983,33,0.33515581488609314,MVA,18-20 yrs,30,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,58.580020904541016 +1983,33,0.33515581488609314,suicide,18-20 yrs,3,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,5.858002185821533 +1983,33,0.33515581488609314,homicide,18-20 yrs,1,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,1.9526673555374146 +1983,33,0.33515581488609314,other external,18-20 yrs,11,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,21.479341506958008 +1983,33,0.33515581488609314,internal,18-20 yrs,11,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,21.479341506958008 +1983,33,0.33515581488609314,all,21-24 yrs,65,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,90.72383880615234 +1983,33,0.33515581488609314,MVA,21-24 yrs,26,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,36.28953552246094 +1983,33,0.33515581488609314,suicide,21-24 yrs,17,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,23.727771759033203 +1983,33,0.33515581488609314,homicide,21-24 yrs,4,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,5.583005428314209 +1983,33,0.33515581488609314,other external,21-24 yrs,9,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,12.561761856079102 +1983,33,0.33515581488609314,internal,21-24 yrs,9,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,12.561761856079102 +1984,33,0.345766544342041,MVA,15-17 yrs,12,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,26.223203659057617 +1984,33,0.345766544342041,suicide,15-17 yrs,2,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,4.3705339431762695 +1984,33,0.345766544342041,homicide,15-17 yrs,0,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,0 +1984,33,0.345766544342041,other external,15-17 yrs,7,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,15.296868324279785 +1984,33,0.345766544342041,internal,15-17 yrs,4,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,8.741067886352539 +1984,33,0.345766544342041,all,18-20 yrs,41,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,79.85820007324219 +1984,33,0.345766544342041,MVA,18-20 yrs,25,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,48.694026947021484 +1984,33,0.345766544342041,suicide,18-20 yrs,4,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,7.791044235229492 +1984,33,0.345766544342041,homicide,18-20 yrs,1,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,1.947761058807373 +1984,33,0.345766544342041,other external,18-20 yrs,5,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,9.738804817199707 +1984,33,0.345766544342041,internal,18-20 yrs,6,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,11.686566352844238 +1984,33,0.345766544342041,all,21-24 yrs,69,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,96.604827880859375 +1984,33,0.345766544342041,MVA,21-24 yrs,36,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,50.40251922607422 +1984,33,0.345766544342041,suicide,21-24 yrs,13,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,18.200910568237305 +1984,33,0.345766544342041,homicide,21-24 yrs,1,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,1.4000699520111084 +1984,33,0.345766544342041,other external,21-24 yrs,12,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,16.800840377807617 +1984,33,0.345766544342041,internal,21-24 yrs,7,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,9.800490379333496 +1985,33,0.28905436396598816,MVA,15-17 yrs,14,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,30.55967903137207 +1985,33,0.28905436396598816,suicide,15-17 yrs,7,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,15.279839515686035 +1985,33,0.28905436396598816,homicide,15-17 yrs,1,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,2.1828341484069824 +1985,33,0.28905436396598816,other external,15-17 yrs,4,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,8.73133659362793 +1985,33,0.28905436396598816,internal,15-17 yrs,3,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,6.548502445220947 +1985,33,0.28905436396598816,all,18-20 yrs,56,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,110.29701232910156 +1985,33,0.28905436396598816,MVA,18-20 yrs,24,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,47.27014923095703 +1985,33,0.28905436396598816,suicide,18-20 yrs,13,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,25.604663848876953 +1985,33,0.28905436396598816,homicide,18-20 yrs,0,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,0 +1985,33,0.28905436396598816,other external,18-20 yrs,7,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,13.787126541137695 +1985,33,0.28905436396598816,internal,18-20 yrs,12,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,23.635074615478516 +1985,33,0.28905436396598816,all,21-24 yrs,83,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,116.86848449707031 +1985,33,0.28905436396598816,MVA,21-24 yrs,36,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,50.689945220947266 +1985,33,0.28905436396598816,suicide,21-24 yrs,11,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,15.488595008850098 +1985,33,0.28905436396598816,homicide,21-24 yrs,2,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,2.816108226776123 +1985,33,0.28905436396598816,other external,21-24 yrs,18,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,25.344972610473633 +1985,33,0.28905436396598816,internal,21-24 yrs,16,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,22.528865814208984 +1986,33,0.02980305440723896,MVA,15-17 yrs,16,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,33.91914367675781 +1986,33,0.02980305440723896,suicide,15-17 yrs,3,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,6.359839916229248 +1986,33,0.02980305440723896,homicide,15-17 yrs,0,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,0 +1986,33,0.02980305440723896,other external,15-17 yrs,2,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,4.239892959594727 +1986,33,0.02980305440723896,internal,15-17 yrs,8,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,16.959571838378906 +1986,33,0.02980305440723896,all,18-20 yrs,52,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,103.00089263916016 +1986,33,0.02980305440723896,MVA,18-20 yrs,26,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,51.50044631958008 +1986,33,0.02980305440723896,suicide,18-20 yrs,10,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,19.807863235473633 +1986,33,0.02980305440723896,homicide,18-20 yrs,2,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,3.9615726470947266 +1986,33,0.02980305440723896,other external,18-20 yrs,9,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,17.827077865600586 +1986,33,0.02980305440723896,internal,18-20 yrs,5,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,9.903931617736816 +1986,33,0.02980305440723896,all,21-24 yrs,60,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,85.67756652832031 +1986,33,0.02980305440723896,MVA,21-24 yrs,22,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,31.41510772705078 +1986,33,0.02980305440723896,suicide,21-24 yrs,19,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,27.131229400634766 +1986,33,0.02980305440723896,homicide,21-24 yrs,0,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,0 +1986,33,0.02980305440723896,other external,21-24 yrs,6,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,8.567756652832031 +1986,33,0.02980305440723896,internal,21-24 yrs,13,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,18.563472747802734 +1987,33,0,MVA,15-17 yrs,23,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,48.91431427001953 +1987,33,0,suicide,15-17 yrs,7,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,14.88696575164795 +1987,33,0,homicide,15-17 yrs,4,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,8.506837844848633 +1987,33,0,other external,15-17 yrs,1,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,2.126709461212158 +1987,33,0,internal,15-17 yrs,6,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,12.760255813598633 +1987,33,0,all,18-20 yrs,34,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,66.64314270019531 +1987,33,0,MVA,18-20 yrs,14,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,27.441295623779297 +1987,33,0,suicide,18-20 yrs,8,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,15.680740356445312 +1987,33,0,homicide,18-20 yrs,1,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,1.960092544555664 +1987,33,0,other external,18-20 yrs,5,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,9.80046272277832 +1987,33,0,internal,18-20 yrs,6,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,11.760555267333984 +1987,33,0,all,21-24 yrs,69,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,99.8076171875 +1987,33,0,MVA,21-24 yrs,28,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,40.50164031982422 +1987,33,0,suicide,21-24 yrs,16,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,23.143795013427734 +1987,33,0,homicide,21-24 yrs,3,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,4.339461803436279 +1987,33,0,other external,21-24 yrs,15,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,21.697307586669922 +1987,33,0,internal,21-24 yrs,7,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,10.125410079956055 +1988,33,0,MVA,15-17 yrs,13,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,28.37498664855957 +1988,33,0,suicide,15-17 yrs,5,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,10.913455963134766 +1988,33,0,homicide,15-17 yrs,2,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,4.365382671356201 +1988,33,0,other external,15-17 yrs,3,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,6.548073768615723 +1988,33,0,internal,15-17 yrs,11,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,24.00960350036621 +1988,33,0,all,18-20 yrs,59,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,113.50301361083984 +1988,33,0,MVA,18-20 yrs,29,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,55.789615631103516 +1988,33,0,suicide,18-20 yrs,13,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,25.009138107299805 +1988,33,0,homicide,18-20 yrs,1,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,1.923779845237732 +1988,33,0,other external,18-20 yrs,8,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.390238761901855 +1988,33,0,internal,18-20 yrs,8,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.390238761901855 +1988,33,0,all,21-24 yrs,62,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,90.11235046386719 +1988,33,0,MVA,21-24 yrs,31,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,45.056175231933594 +1988,33,0,suicide,21-24 yrs,10,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,14.534250259399414 +1988,33,0,homicide,21-24 yrs,1,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,1.4534250497817993 +1988,33,0,other external,21-24 yrs,9,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,13.080824851989746 +1988,33,0,internal,21-24 yrs,11,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.987674713134766 +1989,33,0,MVA,15-17 yrs,17,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,39.37099075317383 +1989,33,0,suicide,15-17 yrs,3,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,6.947822093963623 +1989,33,0,homicide,15-17 yrs,4,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,9.263762474060059 +1989,33,0,other external,15-17 yrs,2,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,4.631881237030029 +1989,33,0,internal,15-17 yrs,1,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,2.3159406185150146 +1989,33,0,all,18-20 yrs,46,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,85.84972381591797 +1989,33,0,MVA,18-20 yrs,21,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,39.192264556884766 +1989,33,0,suicide,18-20 yrs,13,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,24.261878967285156 +1989,33,0,homicide,18-20 yrs,0,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,0 +1989,33,0,other external,18-20 yrs,4,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,7.465193748474121 +1989,33,0,internal,18-20 yrs,8,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,14.930387496948242 +1989,33,0,all,21-24 yrs,59,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,87.507232666015625 +1989,33,0,MVA,21-24 yrs,27,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,40.04568099975586 +1989,33,0,suicide,21-24 yrs,12,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,17.798080444335938 +1989,33,0,homicide,21-24 yrs,3,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,4.449520111083984 +1989,33,0,other external,21-24 yrs,5,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,7.415866851806641 +1989,33,0,internal,21-24 yrs,12,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,17.798080444335938 +1990,33,0,MVA,15-17 yrs,10,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,24.177364349365234 +1990,33,0,suicide,15-17 yrs,6,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,14.50641918182373 +1990,33,0,homicide,15-17 yrs,1,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,2.417736530303955 +1990,33,0,other external,15-17 yrs,1,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,2.417736530303955 +1990,33,0,internal,15-17 yrs,4,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,9.67094612121582 +1990,33,0,all,18-20 yrs,34,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,64.8125228881836 +1990,33,0,MVA,18-20 yrs,18,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,34.3125114440918 +1990,33,0,suicide,18-20 yrs,6,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,11.437503814697266 +1990,33,0,homicide,18-20 yrs,0,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,0 +1990,33,0,other external,18-20 yrs,7,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,13.343753814697266 +1990,33,0,internal,18-20 yrs,3,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,5.718751907348633 +1990,33,0,all,21-24 yrs,40,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,61.00815963745117 +1990,33,0,MVA,21-24 yrs,11,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,16.777244567871094 +1990,33,0,suicide,21-24 yrs,10,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,15.252039909362793 +1990,33,0,homicide,21-24 yrs,3,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,4.5756120681762695 +1990,33,0,other external,21-24 yrs,9,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,13.726836204528809 +1990,33,0,internal,21-24 yrs,7,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,10.676427841186523 +1991,33,0,MVA,15-17 yrs,7,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,17.201553344726562 +1991,33,0,suicide,15-17 yrs,7,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,17.201553344726562 +1991,33,0,homicide,15-17 yrs,0,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,0 +1991,33,0,other external,15-17 yrs,3,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,7.37209415435791 +1991,33,0,internal,15-17 yrs,4,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,9.829459190368652 +1991,33,0,all,18-20 yrs,39,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,82.7603759765625 +1991,33,0,MVA,18-20 yrs,15,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,31.830913543701172 +1991,33,0,suicide,18-20 yrs,10,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,21.220609664916992 +1991,33,0,homicide,18-20 yrs,3,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.366182804107666 +1991,33,0,other external,18-20 yrs,3,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.366182804107666 +1991,33,0,internal,18-20 yrs,8,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,16.97648811340332 +1991,33,0,all,21-24 yrs,56,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,87.8100814819336 +1991,33,0,MVA,21-24 yrs,21,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,32.92877960205078 +1991,33,0,suicide,21-24 yrs,12,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,18.81644630432129 +1991,33,0,homicide,21-24 yrs,4,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.272148609161377 +1991,33,0,other external,21-24 yrs,9,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,14.112334251403809 +1991,33,0,internal,21-24 yrs,10,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,15.680371284484863 +1992,33,0,MVA,15-17 yrs,8,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,19.325071334838867 +1992,33,0,suicide,15-17 yrs,5,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,12.078169822692871 +1992,33,0,homicide,15-17 yrs,0,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,0 +1992,33,0,other external,15-17 yrs,3,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,7.246901988983154 +1992,33,0,internal,15-17 yrs,6,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.493803977966309 +1992,33,0,all,18-20 yrs,27,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,63.395164489746094 +1992,33,0,MVA,18-20 yrs,11,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,25.827659606933594 +1992,33,0,suicide,18-20 yrs,6,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.087814331054688 +1992,33,0,homicide,18-20 yrs,3,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,7.043907165527344 +1992,33,0,other external,18-20 yrs,1,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,2.3479690551757812 +1992,33,0,internal,18-20 yrs,6,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.087814331054688 +1992,33,0,all,21-24 yrs,42,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,65.53079986572266 +1992,33,0,MVA,21-24 yrs,13,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,20.283342361450195 +1992,33,0,suicide,21-24 yrs,13,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,20.283342361450195 +1992,33,0,homicide,21-24 yrs,1,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,1.560257077217102 +1992,33,0,other external,21-24 yrs,4,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,6.241028308868408 +1992,33,0,internal,21-24 yrs,11,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,17.16282844543457 +1993,33,0,MVA,15-17 yrs,7,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,16.5425968170166 +1993,33,0,suicide,15-17 yrs,8,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,18.905824661254883 +1993,33,0,homicide,15-17 yrs,1,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,2.3632280826568604 +1993,33,0,other external,15-17 yrs,0,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,0 +1993,33,0,internal,15-17 yrs,7,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,16.5425968170166 +1993,33,0,all,18-20 yrs,18,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,44.49168395996094 +1993,33,0,MVA,18-20 yrs,10,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,24.717601776123047 +1993,33,0,suicide,18-20 yrs,2,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,4.9435200691223145 +1993,33,0,homicide,18-20 yrs,1,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,2.4717600345611572 +1993,33,0,other external,18-20 yrs,0,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,0 +1993,33,0,internal,18-20 yrs,5,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,12.358800888061523 +1993,33,0,all,21-24 yrs,35,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,55.42447280883789 +1993,33,0,MVA,21-24 yrs,12,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,19.002676010131836 +1993,33,0,suicide,21-24 yrs,9,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,14.252007484436035 +1993,33,0,homicide,21-24 yrs,2,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,3.1671125888824463 +1993,33,0,other external,21-24 yrs,5,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,7.917781829833984 +1993,33,0,internal,21-24 yrs,7,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,11.084894180297852 +1994,33,0,MVA,15-17 yrs,9,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,20.270727157592773 +1994,33,0,suicide,15-17 yrs,3,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,6.756908893585205 +1994,33,0,homicide,15-17 yrs,1,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,2.252302885055542 +1994,33,0,other external,15-17 yrs,2,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,4.504605770111084 +1994,33,0,internal,15-17 yrs,3,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,6.756908893585205 +1994,33,0,all,18-20 yrs,30,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,75.46410369873047 +1994,33,0,MVA,18-20 yrs,9,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,22.639230728149414 +1994,33,0,suicide,18-20 yrs,9,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,22.639230728149414 +1994,33,0,homicide,18-20 yrs,0,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,0 +1994,33,0,other external,18-20 yrs,5,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,12.577350616455078 +1994,33,0,internal,18-20 yrs,7,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,17.608291625976562 +1994,33,0,all,21-24 yrs,46,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,76.84083557128906 +1994,33,0,MVA,21-24 yrs,19,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,31.73860740661621 +1994,33,0,suicide,21-24 yrs,12,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,20.04543685913086 +1994,33,0,homicide,21-24 yrs,0,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,0 +1994,33,0,other external,21-24 yrs,6,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,10.02271842956543 +1994,33,0,internal,21-24 yrs,9,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,15.034077644348145 +1995,33,0,MVA,15-17 yrs,10,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,21.56241226196289 +1995,33,0,suicide,15-17 yrs,8,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,17.249929428100586 +1995,33,0,homicide,15-17 yrs,1,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,2.1562411785125732 +1995,33,0,other external,15-17 yrs,3,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,6.468723773956299 +1995,33,0,internal,15-17 yrs,4,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,8.624964714050293 +1995,33,0,all,18-20 yrs,30,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,74.369720458984375 +1995,33,0,MVA,18-20 yrs,9,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,22.310914993286133 +1995,33,0,suicide,18-20 yrs,11,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,27.268896102905273 +1995,33,0,homicide,18-20 yrs,3,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,7.436971664428711 +1995,33,0,other external,18-20 yrs,4,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,9.915962219238281 +1995,33,0,internal,18-20 yrs,3,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,7.436971664428711 +1995,33,0,all,21-24 yrs,38,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,67.6048355102539 +1995,33,0,MVA,21-24 yrs,13,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,23.12796974182129 +1995,33,0,suicide,21-24 yrs,15,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,26.68611717224121 +1995,33,0,homicide,21-24 yrs,2,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,3.5581490993499756 +1995,33,0,other external,21-24 yrs,0,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,0 +1995,33,0,internal,21-24 yrs,8,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,14.232596397399902 +1996,33,0,MVA,15-17 yrs,8,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,16.570693969726562 +1996,33,0,suicide,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,homicide,15-17 yrs,1,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,2.0713367462158203 +1996,33,0,other external,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,internal,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,all,18-20 yrs,32,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,77.59080505371094 +1996,33,0,MVA,18-20 yrs,9,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,21.82241439819336 +1996,33,0,suicide,18-20 yrs,10,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,24.247127532958984 +1996,33,0,homicide,18-20 yrs,0,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,0 +1996,33,0,other external,18-20 yrs,5,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,12.123563766479492 +1996,33,0,internal,18-20 yrs,8,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,19.397701263427734 +1996,33,0,all,21-24 yrs,42,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,79.0737075805664 +1996,33,0,MVA,21-24 yrs,16,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,30.12331771850586 +1996,33,0,suicide,21-24 yrs,11,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,20.709779739379883 +1996,33,0,homicide,21-24 yrs,1,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,1.8827073574066162 +1996,33,0,other external,21-24 yrs,5,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,9.41353702545166 +1996,33,0,internal,21-24 yrs,9,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,16.944366455078125 +1970,34,0,MVA,15-17 yrs,67,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,17.051252365112305 +1970,34,0,suicide,15-17 yrs,9,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,2.290466785430908 +1970,34,0,homicide,15-17 yrs,11,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,2.799459457397461 +1970,34,0,other external,15-17 yrs,55,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,13.997297286987305 +1970,34,0,internal,15-17 yrs,89,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.650171279907227 +1970,34,0,all,18-20 yrs,330,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,102.1807861328125 +1970,34,0,MVA,18-20 yrs,95,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,29.415679931640625 +1970,34,0,suicide,18-20 yrs,14,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,4.33494234085083 +1970,34,0,homicide,18-20 yrs,31,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,9.5988006591796875 +1970,34,0,other external,18-20 yrs,72,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.293989181518555 +1970,34,0,internal,18-20 yrs,118,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,36.53737258911133 +1970,34,0,all,21-24 yrs,502,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,123.58992004394531 +1970,34,0,MVA,21-24 yrs,136,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,33.48252868652344 +1970,34,0,suicide,21-24 yrs,31,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,7.632046699523926 +1970,34,0,homicide,21-24 yrs,68,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,16.74126434326172 +1970,34,0,other external,21-24 yrs,92,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.649944305419922 +1970,34,0,internal,21-24 yrs,175,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,43.08413314819336 +1971,34,0,MVA,15-17 yrs,95,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,23.466814041137695 +1971,34,0,suicide,15-17 yrs,9,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,2.2231719493865967 +1971,34,0,homicide,15-17 yrs,17,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,4.199324607849121 +1971,34,0,other external,15-17 yrs,44,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,10.868840217590332 +1971,34,0,internal,15-17 yrs,113,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,27.913158416748047 +1971,34,0,all,18-20 yrs,405,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,117.0127944946289 +1971,34,0,MVA,18-20 yrs,131,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,37.84858322143555 +1971,34,0,suicide,18-20 yrs,30,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,8.667613983154297 +1971,34,0,homicide,18-20 yrs,32,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,9.245455741882324 +1971,34,0,other external,18-20 yrs,80,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,23.113637924194336 +1971,34,0,internal,18-20 yrs,132,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,38.13750457763672 +1971,34,0,all,21-24 yrs,538,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,123.8432846069336 +1971,34,0,MVA,21-24 yrs,149,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,34.298606872558594 +1971,34,0,suicide,21-24 yrs,22,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,5.064223766326904 +1971,34,0,homicide,21-24 yrs,57,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,13.120943069458008 +1971,34,0,other external,21-24 yrs,91,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,20.94746971130371 +1971,34,0,internal,21-24 yrs,219,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,50.412044525146484 +1972,34,0,MVA,15-17 yrs,84,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,20.1618709564209 +1972,34,0,suicide,15-17 yrs,2,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,0.48004454374313354 +1972,34,0,homicide,15-17 yrs,14,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,3.36031174659729 +1972,34,0,other external,15-17 yrs,58,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,13.921292304992676 +1972,34,0,internal,15-17 yrs,110,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,26.402450561523438 +1972,34,0,all,18-20 yrs,368,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,103.1447982788086 +1972,34,0,MVA,18-20 yrs,114,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,31.952463150024414 +1972,34,0,suicide,18-20 yrs,22,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,6.16626501083374 +1972,34,0,homicide,18-20 yrs,30,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,8.40854263305664 +1972,34,0,other external,18-20 yrs,72,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,20.180503845214844 +1972,34,0,internal,18-20 yrs,130,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,36.43701934814453 +1972,34,0,all,21-24 yrs,484,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,113.10023498535156 +1972,34,0,MVA,21-24 yrs,130,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,30.37816047668457 +1972,34,0,suicide,21-24 yrs,52,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,12.151264190673828 +1972,34,0,homicide,21-24 yrs,74,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,17.292184829711914 +1972,34,0,other external,21-24 yrs,70,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,16.357471466064453 +1972,34,0,internal,21-24 yrs,158,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,36.92115020751953 +1973,34,1,MVA,15-17 yrs,98,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,23.107648849487305 +1973,34,1,suicide,15-17 yrs,14,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,3.3010926246643066 +1973,34,1,homicide,15-17 yrs,18,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,4.244262218475342 +1973,34,1,other external,15-17 yrs,51,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,12.025408744812012 +1973,34,1,internal,15-17 yrs,82,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,19.334970474243164 +1973,34,1,all,18-20 yrs,430,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,119.1026840209961 +1973,34,1,MVA,18-20 yrs,165,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,45.70219421386719 +1973,34,1,suicide,18-20 yrs,27,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,7.478540897369385 +1973,34,1,homicide,18-20 yrs,36,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,9.97138786315918 +1973,34,1,other external,18-20 yrs,80,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,22.158639907836914 +1973,34,1,internal,18-20 yrs,122,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,33.79192352294922 +1973,34,1,all,21-24 yrs,520,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,120.42305755615234 +1973,34,1,MVA,21-24 yrs,150,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,34.73741912841797 +1973,34,1,suicide,21-24 yrs,37,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,8.568563461303711 +1973,34,1,homicide,21-24 yrs,77,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,17.83187484741211 +1973,34,1,other external,21-24 yrs,81,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,18.758207321166992 +1973,34,1,internal,21-24 yrs,175,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,40.5269889831543 +1974,34,1,MVA,15-17 yrs,65,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,15.115752220153809 +1974,34,1,suicide,15-17 yrs,10,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,2.325500249862671 +1974,34,1,homicide,15-17 yrs,19,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,4.418450355529785 +1974,34,1,other external,15-17 yrs,41,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,9.534550666809082 +1974,34,1,internal,15-17 yrs,83,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,19.301652908325195 +1974,34,1,all,18-20 yrs,427,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,116.84512329101562 +1974,34,1,MVA,18-20 yrs,141,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,38.583518981933594 +1974,34,1,suicide,18-20 yrs,26,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,7.114691734313965 +1974,34,1,homicide,18-20 yrs,42,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,11.492962837219238 +1974,34,1,other external,18-20 yrs,74,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,20.2495059967041 +1974,34,1,internal,18-20 yrs,144,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,39.40444564819336 +1974,34,1,all,21-24 yrs,497,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,111.99166870117188 +1974,34,1,MVA,21-24 yrs,119,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,26.81490707397461 +1974,34,1,suicide,21-24 yrs,48,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,10.816097259521484 +1974,34,1,homicide,21-24 yrs,54,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,12.168108940124512 +1974,34,1,other external,21-24 yrs,89,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,20.054845809936523 +1974,34,1,internal,21-24 yrs,187,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,42.13771057128906 +1975,34,1,MVA,15-17 yrs,83,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,19.354177474975586 +1975,34,1,suicide,15-17 yrs,18,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,4.197291374206543 +1975,34,1,homicide,15-17 yrs,32,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,7.461851119995117 +1975,34,1,other external,15-17 yrs,51,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.892325401306152 +1975,34,1,internal,15-17 yrs,67,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,15.623250961303711 +1975,34,1,all,18-20 yrs,424,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,113.97206115722656 +1975,34,1,MVA,18-20 yrs,174,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,46.77155303955078 +1975,34,1,suicide,18-20 yrs,30,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,8.064061164855957 +1975,34,1,homicide,18-20 yrs,44,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.827289581298828 +1975,34,1,other external,18-20 yrs,65,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,17.472131729125977 +1975,34,1,internal,18-20 yrs,111,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,29.837024688720703 +1975,34,1,all,21-24 yrs,493,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,108.24126434326172 +1975,34,1,MVA,21-24 yrs,129,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,28.322765350341797 +1975,34,1,suicide,21-24 yrs,51,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.197372436523438 +1975,34,1,homicide,21-24 yrs,53,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.63648509979248 +1975,34,1,other external,21-24 yrs,75,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,16.466724395751953 +1975,34,1,internal,21-24 yrs,185,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,40.617919921875 +1976,34,1,MVA,15-17 yrs,95,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,22.157899856567383 +1976,34,1,suicide,15-17 yrs,11,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,2.5656514167785645 +1976,34,1,homicide,15-17 yrs,13,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,3.0321335792541504 +1976,34,1,other external,15-17 yrs,42,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.796124458312988 +1976,34,1,internal,15-17 yrs,68,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,15.860391616821289 +1976,34,1,all,18-20 yrs,375,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,99.2459945678711 +1976,34,1,MVA,18-20 yrs,138,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,36.522525787353516 +1976,34,1,suicide,18-20 yrs,42,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,11.115550994873047 +1976,34,1,homicide,18-20 yrs,36,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.527615547180176 +1976,34,1,other external,18-20 yrs,47,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,12.438831329345703 +1976,34,1,internal,18-20 yrs,112,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,29.641469955444336 +1976,34,1,all,21-24 yrs,460,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,98.63582611083984 +1976,34,1,MVA,21-24 yrs,131,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,28.089767456054688 +1976,34,1,suicide,21-24 yrs,47,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,10.078007698059082 +1976,34,1,homicide,21-24 yrs,46,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.863582611083984 +1976,34,1,other external,21-24 yrs,70,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,15.009799003601074 +1976,34,1,internal,21-24 yrs,166,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,35.59466552734375 +1977,34,1,MVA,15-17 yrs,98,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,23.03622055053711 +1977,34,1,suicide,15-17 yrs,14,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,3.290888786315918 +1977,34,1,homicide,15-17 yrs,15,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,3.525952100753784 +1977,34,1,other external,15-17 yrs,41,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,9.637602806091309 +1977,34,1,internal,15-17 yrs,80,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,18.805078506469727 +1977,34,1,all,18-20 yrs,391,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,102.73333740234375 +1977,34,1,MVA,18-20 yrs,172,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,45.19215774536133 +1977,34,1,suicide,18-20 yrs,31,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.145098686218262 +1977,34,1,homicide,18-20 yrs,31,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.145098686218262 +1977,34,1,other external,18-20 yrs,56,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,14.713726043701172 +1977,34,1,internal,18-20 yrs,101,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,26.537256240844727 +1977,34,1,all,21-24 yrs,477,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,100.9910659790039 +1977,34,1,MVA,21-24 yrs,126,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,26.6768856048584 +1977,34,1,suicide,21-24 yrs,56,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,11.856393814086914 +1977,34,1,homicide,21-24 yrs,40,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.468852996826172 +1977,34,1,other external,21-24 yrs,70,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,14.820491790771484 +1977,34,1,internal,21-24 yrs,185,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,39.16844177246094 +1978,34,1,MVA,15-17 yrs,90,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,21.257349014282227 +1978,34,1,suicide,15-17 yrs,15,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,3.542891502380371 +1978,34,1,homicide,15-17 yrs,8,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,1.8895421028137207 +1978,34,1,other external,15-17 yrs,32,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,7.558168411254883 +1978,34,1,internal,15-17 yrs,72,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,17.005878448486328 +1978,34,1,all,18-20 yrs,349,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,92.43074035644531 +1978,34,1,MVA,18-20 yrs,142,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,37.60792541503906 +1978,34,1,suicide,18-20 yrs,24,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,6.356268882751465 +1978,34,1,homicide,18-20 yrs,31,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,8.210180282592773 +1978,34,1,other external,18-20 yrs,59,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,15.62582778930664 +1978,34,1,internal,18-20 yrs,93,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,24.630542755126953 +1978,34,1,all,21-24 yrs,503,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,104.58402252197266 +1978,34,1,MVA,21-24 yrs,152,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,31.603919982910156 +1978,34,1,suicide,21-24 yrs,48,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,9.980185508728027 +1978,34,1,homicide,21-24 yrs,54,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,11.227707862854004 +1978,34,1,other external,21-24 yrs,84,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,17.46532440185547 +1978,34,1,internal,21-24 yrs,165,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,34.306884765625 +1979,34,1,MVA,15-17 yrs,90,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,21.536304473876953 +1979,34,1,suicide,15-17 yrs,12,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,2.871507167816162 +1979,34,1,homicide,15-17 yrs,23,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,5.503722190856934 +1979,34,1,other external,15-17 yrs,48,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,11.486028671264648 +1979,34,1,internal,15-17 yrs,56,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,13.40036678314209 +1979,34,1,all,18-20 yrs,392,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,103.75283813476562 +1979,34,1,MVA,18-20 yrs,168,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,44.46549987792969 +1979,34,1,suicide,18-20 yrs,29,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,7.675592422485352 +1979,34,1,homicide,18-20 yrs,39,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,10.322348594665527 +1979,34,1,other external,18-20 yrs,59,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,15.615859985351562 +1979,34,1,internal,18-20 yrs,97,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,25.673532485961914 +1979,34,1,all,21-24 yrs,495,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,100.99320220947266 +1979,34,1,MVA,21-24 yrs,146,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,29.787893295288086 +1979,34,1,suicide,21-24 yrs,50,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,10.201333045959473 +1979,34,1,homicide,21-24 yrs,54,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,11.017439842224121 +1979,34,1,other external,21-24 yrs,81,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,16.526161193847656 +1979,34,1,internal,21-24 yrs,164,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,33.46037292480469 +1980,34,0.8299978375434875,MVA,15-17 yrs,87,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,21.14128875732422 +1980,34,0.8299978375434875,suicide,15-17 yrs,15,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,3.645049810409546 +1980,34,0.8299978375434875,homicide,15-17 yrs,25,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,6.075083255767822 +1980,34,0.8299978375434875,other external,15-17 yrs,49,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.9071626663208 +1980,34,0.8299978375434875,internal,15-17 yrs,57,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,13.851189613342285 +1980,34,0.8299978375434875,all,18-20 yrs,402,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,104.27149963378906 +1980,34,0.8299978375434875,MVA,18-20 yrs,163,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,42.279239654541016 +1980,34,0.8299978375434875,suicide,18-20 yrs,44,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.412800788879395 +1980,34,0.8299978375434875,homicide,18-20 yrs,40,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,10.375273704528809 +1980,34,0.8299978375434875,other external,18-20 yrs,61,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,15.82229232788086 +1980,34,0.8299978375434875,internal,18-20 yrs,94,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,24.381893157958984 +1980,34,0.8299978375434875,all,21-24 yrs,531,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,108.15214538574219 +1980,34,0.8299978375434875,MVA,21-24 yrs,166,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,33.81027603149414 +1980,34,0.8299978375434875,suicide,21-24 yrs,64,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,13.035286903381348 +1980,34,0.8299978375434875,homicide,21-24 yrs,57,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.609552383422852 +1980,34,0.8299978375434875,other external,21-24 yrs,77,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,15.683079719543457 +1980,34,0.8299978375434875,internal,21-24 yrs,167,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,34.01395034790039 +1981,34,0.6595242619514465,MVA,15-17 yrs,100,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,25.034421920776367 +1981,34,0.6595242619514465,suicide,15-17 yrs,12,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,3.0041306018829346 +1981,34,0.6595242619514465,homicide,15-17 yrs,20,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,5.006884574890137 +1981,34,0.6595242619514465,other external,15-17 yrs,20,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,5.006884574890137 +1981,34,0.6595242619514465,internal,15-17 yrs,49,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,12.266866683959961 +1981,34,0.6595242619514465,all,18-20 yrs,360,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,90.580169677734375 +1981,34,0.6595242619514465,MVA,18-20 yrs,162,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,40.76107406616211 +1981,34,0.6595242619514465,suicide,18-20 yrs,29,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,7.296735763549805 +1981,34,0.6595242619514465,homicide,18-20 yrs,46,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,11.574131965637207 +1981,34,0.6595242619514465,other external,18-20 yrs,55,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,13.83863639831543 +1981,34,0.6595242619514465,internal,18-20 yrs,68,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,17.109586715698242 +1981,34,0.6595242619514465,all,21-24 yrs,475,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,96.74351501464844 +1981,34,0.6595242619514465,MVA,21-24 yrs,140,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,28.513877868652344 +1981,34,0.6595242619514465,suicide,21-24 yrs,53,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,10.794539451599121 +1981,34,0.6595242619514465,homicide,21-24 yrs,69,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,14.053268432617188 +1981,34,0.6595242619514465,other external,21-24 yrs,89,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,18.126678466796875 +1981,34,0.6595242619514465,internal,21-24 yrs,124,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,25.25514793395996 +1982,34,0.6682873964309692,MVA,15-17 yrs,77,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,20.108219146728516 +1982,34,0.6682873964309692,suicide,15-17 yrs,16,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,4.17833137512207 +1982,34,0.6682873964309692,homicide,15-17 yrs,18,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,4.70062255859375 +1982,34,0.6682873964309692,other external,15-17 yrs,26,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,6.789788246154785 +1982,34,0.6682873964309692,internal,15-17 yrs,48,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.534993171691895 +1982,34,0.6682873964309692,all,18-20 yrs,317,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,78.47875213623047 +1982,34,0.6682873964309692,MVA,18-20 yrs,140,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,34.659385681152344 +1982,34,0.6682873964309692,suicide,18-20 yrs,29,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,7.179443836212158 +1982,34,0.6682873964309692,homicide,18-20 yrs,42,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,10.397815704345703 +1982,34,0.6682873964309692,other external,18-20 yrs,36,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,8.912413597106934 +1982,34,0.6682873964309692,internal,18-20 yrs,70,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,17.329692840576172 +1982,34,0.6682873964309692,all,21-24 yrs,488,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,99.54186248779297 +1982,34,0.6682873964309692,MVA,21-24 yrs,146,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,29.780967712402344 +1982,34,0.6682873964309692,suicide,21-24 yrs,54,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,11.014878273010254 +1982,34,0.6682873964309692,homicide,21-24 yrs,61,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.442732810974121 +1982,34,0.6682873964309692,other external,21-24 yrs,61,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.442732810974121 +1982,34,0.6682873964309692,internal,21-24 yrs,166,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,33.86054992675781 +1983,34,0.5085621476173401,MVA,15-17 yrs,58,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,15.761683464050293 +1983,34,0.5085621476173401,suicide,15-17 yrs,13,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,3.5327911376953125 +1983,34,0.5085621476173401,homicide,15-17 yrs,19,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,5.1633100509643555 +1983,34,0.5085621476173401,other external,15-17 yrs,28,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,7.60908842086792 +1983,34,0.5085621476173401,internal,15-17 yrs,44,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,11.957139015197754 +1983,34,0.5085621476173401,all,18-20 yrs,293,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,72.837738037109375 +1983,34,0.5085621476173401,MVA,18-20 yrs,113,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.091005325317383 +1983,34,0.5085621476173401,suicide,18-20 yrs,30,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,7.457788944244385 +1983,34,0.5085621476173401,homicide,18-20 yrs,33,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,8.2035675048828125 +1983,34,0.5085621476173401,other external,18-20 yrs,43,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,10.689496994018555 +1983,34,0.5085621476173401,internal,18-20 yrs,74,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,18.3958797454834 +1983,34,0.5085621476173401,all,21-24 yrs,442,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,89.365142822265625 +1983,34,0.5085621476173401,MVA,21-24 yrs,142,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.71006965637207 +1983,34,0.5085621476173401,suicide,21-24 yrs,47,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,9.502628326416016 +1983,34,0.5085621476173401,homicide,21-24 yrs,47,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,9.502628326416016 +1983,34,0.5085621476173401,other external,21-24 yrs,63,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,12.737565994262695 +1983,34,0.5085621476173401,internal,21-24 yrs,143,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.91225242614746 +1984,34,0.17286482453346252,MVA,15-17 yrs,60,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,16.66189956665039 +1984,34,0.17286482453346252,suicide,15-17 yrs,21,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,5.8316650390625 +1984,34,0.17286482453346252,homicide,15-17 yrs,15,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,4.165474891662598 +1984,34,0.17286482453346252,other external,15-17 yrs,37,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.2748384475708 +1984,34,0.17286482453346252,internal,15-17 yrs,40,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,11.107933044433594 +1984,34,0.17286482453346252,all,18-20 yrs,272,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,69.73893737792969 +1984,34,0.17286482453346252,MVA,18-20 yrs,105,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,26.921281814575195 +1984,34,0.17286482453346252,suicide,18-20 yrs,22,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,5.640649795532227 +1984,34,0.17286482453346252,homicide,18-20 yrs,34,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,8.717367172241211 +1984,34,0.17286482453346252,other external,18-20 yrs,41,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.51211929321289 +1984,34,0.17286482453346252,internal,18-20 yrs,70,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,17.947521209716797 +1984,34,0.17286482453346252,all,21-24 yrs,406,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,80.1626968383789 +1984,34,0.17286482453346252,MVA,21-24 yrs,126,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,24.87807846069336 +1984,34,0.17286482453346252,suicide,21-24 yrs,51,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.069698333740234 +1984,34,0.17286482453346252,homicide,21-24 yrs,56,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,11.056923866271973 +1984,34,0.17286482453346252,other external,21-24 yrs,53,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.464588165283203 +1984,34,0.17286482453346252,internal,21-24 yrs,120,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,23.69340705871582 +1985,34,0,MVA,15-17 yrs,52,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,14.537769317626953 +1985,34,0,suicide,15-17 yrs,14,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,3.9140145778656006 +1985,34,0,homicide,15-17 yrs,11,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,3.0752973556518555 +1985,34,0,other external,15-17 yrs,31,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.666747093200684 +1985,34,0,internal,15-17 yrs,49,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,13.699051856994629 +1985,34,0,all,18-20 yrs,264,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,70.72306060791016 +1985,34,0,MVA,18-20 yrs,101,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,27.056928634643555 +1985,34,0,suicide,18-20 yrs,32,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.572492599487305 +1985,34,0,homicide,18-20 yrs,37,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,9.911944389343262 +1985,34,0,other external,18-20 yrs,32,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.572492599487305 +1985,34,0,internal,18-20 yrs,62,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,16.609203338623047 +1985,34,0,all,21-24 yrs,411,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,79.34776306152344 +1985,34,0,MVA,21-24 yrs,120,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,23.1672306060791 +1985,34,0,suicide,21-24 yrs,50,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,9.653013229370117 +1985,34,0,homicide,21-24 yrs,44,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.494650840759277 +1985,34,0,other external,21-24 yrs,60,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,11.58361530303955 +1985,34,0,internal,21-24 yrs,137,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,26.449254989624023 +1986,34,0,MVA,15-17 yrs,69,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,19.223697662353516 +1986,34,0,suicide,15-17 yrs,16,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,4.457668781280518 +1986,34,0,homicide,15-17 yrs,19,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,5.293481826782227 +1986,34,0,other external,15-17 yrs,21,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,5.8506903648376465 +1986,34,0,internal,15-17 yrs,41,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,11.422776222229004 +1986,34,0,all,18-20 yrs,248,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,69.32777404785156 +1986,34,0,MVA,18-20 yrs,96,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,26.836557388305664 +1986,34,0,suicide,18-20 yrs,30,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.38642406463623 +1986,34,0,homicide,18-20 yrs,30,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.38642406463623 +1986,34,0,other external,18-20 yrs,35,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,9.784161567687988 +1986,34,0,internal,18-20 yrs,57,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,15.934206008911133 +1986,34,0,all,21-24 yrs,460,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,88.11653137207031 +1986,34,0,MVA,21-24 yrs,134,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,25.66872787475586 +1986,34,0,suicide,21-24 yrs,45,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.620095252990723 +1986,34,0,homicide,21-24 yrs,54,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,10.344114303588867 +1986,34,0,other external,21-24 yrs,58,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,11.110344886779785 +1986,34,0,internal,21-24 yrs,169,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,32.37324523925781 +1987,34,0,MVA,15-17 yrs,64,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,18.42612075805664 +1987,34,0,suicide,15-17 yrs,12,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,3.45489764213562 +1987,34,0,homicide,15-17 yrs,17,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,4.89443826675415 +1987,34,0,other external,15-17 yrs,25,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.197703838348389 +1987,34,0,internal,15-17 yrs,41,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,11.80423355102539 +1987,34,0,all,18-20 yrs,245,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,70.574066162109375 +1987,34,0,MVA,18-20 yrs,99,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,28.517684936523438 +1987,34,0,suicide,18-20 yrs,26,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.489492893218994 +1987,34,0,homicide,18-20 yrs,27,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.77755069732666 +1987,34,0,other external,18-20 yrs,29,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,8.353665351867676 +1987,34,0,internal,18-20 yrs,64,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,18.4356746673584 +1987,34,0,all,21-24 yrs,442,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,85.89946746826172 +1987,34,0,MVA,21-24 yrs,124,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,24.098493576049805 +1987,34,0,suicide,21-24 yrs,50,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,9.717134475708008 +1987,34,0,homicide,21-24 yrs,38,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.385022163391113 +1987,34,0,other external,21-24 yrs,46,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,8.939763069152832 +1987,34,0,internal,21-24 yrs,184,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,35.75905227661133 +1988,34,0,MVA,15-17 yrs,65,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,19.864858627319336 +1988,34,0,suicide,15-17 yrs,13,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,3.9729716777801514 +1988,34,0,homicide,15-17 yrs,20,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,6.112264156341553 +1988,34,0,other external,15-17 yrs,13,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,3.9729716777801514 +1988,34,0,internal,15-17 yrs,55,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,16.808725357055664 +1988,34,0,all,18-20 yrs,288,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,84.11534118652344 +1988,34,0,MVA,18-20 yrs,111,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,32.419456481933594 +1988,34,0,suicide,18-20 yrs,25,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,7.3016791343688965 +1988,34,0,homicide,18-20 yrs,43,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,12.55888843536377 +1988,34,0,other external,18-20 yrs,26,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,7.593746185302734 +1988,34,0,internal,18-20 yrs,83,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,24.241575241088867 +1988,34,0,all,21-24 yrs,456,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,91.54420471191406 +1988,34,0,MVA,21-24 yrs,139,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,27.904922485351562 +1988,34,0,suicide,21-24 yrs,46,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,9.234722137451172 +1988,34,0,homicide,21-24 yrs,46,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,9.234722137451172 +1988,34,0,other external,21-24 yrs,60,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,12.045289993286133 +1988,34,0,internal,21-24 yrs,165,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,33.124549865722656 +1989,34,0,MVA,15-17 yrs,39,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,12.860379219055176 +1989,34,0,suicide,15-17 yrs,7,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,2.3082730770111084 +1989,34,0,homicide,15-17 yrs,22,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,7.254572868347168 +1989,34,0,other external,15-17 yrs,24,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,7.914079666137695 +1989,34,0,internal,15-17 yrs,47,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,15.498405456542969 +1989,34,0,all,18-20 yrs,229,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,67.555206298828125 +1989,34,0,MVA,18-20 yrs,79,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,23.305072784423828 +1989,34,0,suicide,18-20 yrs,30,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.850027084350586 +1989,34,0,homicide,18-20 yrs,33,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,9.735030174255371 +1989,34,0,other external,18-20 yrs,21,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,6.195019245147705 +1989,34,0,internal,18-20 yrs,66,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,19.470060348510742 +1989,34,0,all,21-24 yrs,395,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,83.13811492919922 +1989,34,0,MVA,21-24 yrs,86,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,18.1009578704834 +1989,34,0,suicide,21-24 yrs,39,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.208573341369629 +1989,34,0,homicide,21-24 yrs,63,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,13.260003089904785 +1989,34,0,other external,21-24 yrs,39,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.208573341369629 +1989,34,0,internal,21-24 yrs,168,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,35.360008239746094 +1990,34,0,MVA,15-17 yrs,50,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,17.07166290283203 +1990,34,0,suicide,15-17 yrs,9,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,3.072899341583252 +1990,34,0,homicide,15-17 yrs,20,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,6.828665256500244 +1990,34,0,other external,15-17 yrs,18,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,6.145798683166504 +1990,34,0,internal,15-17 yrs,33,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,11.267297744750977 +1990,34,0,all,18-20 yrs,206,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,62.73583221435547 +1990,34,0,MVA,18-20 yrs,70,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,21.31800079345703 +1990,34,0,suicide,18-20 yrs,19,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,5.786314487457275 +1990,34,0,homicide,18-20 yrs,24,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.309028625488281 +1990,34,0,other external,18-20 yrs,24,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.309028625488281 +1990,34,0,internal,18-20 yrs,69,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,21.013458251953125 +1990,34,0,all,21-24 yrs,377,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,82.85350036621094 +1990,34,0,MVA,21-24 yrs,101,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,22.196826934814453 +1990,34,0,suicide,21-24 yrs,36,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.911740303039551 +1990,34,0,homicide,21-24 yrs,59,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,12.966463088989258 +1990,34,0,other external,21-24 yrs,32,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.032658100128174 +1990,34,0,internal,21-24 yrs,149,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,32.74581527709961 +1991,34,0,MVA,15-17 yrs,37,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,12.825623512268066 +1991,34,0,suicide,15-17 yrs,6,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,2.0798308849334717 +1991,34,0,homicide,15-17 yrs,18,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,6.239492416381836 +1991,34,0,other external,15-17 yrs,24,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,8.319323539733887 +1991,34,0,internal,15-17 yrs,49,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,16.98528480529785 +1991,34,0,all,18-20 yrs,207,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,65.69426727294922 +1991,34,0,MVA,18-20 yrs,47,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,14.916089057922363 +1991,34,0,suicide,18-20 yrs,25,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,7.9340901374816895 +1991,34,0,homicide,18-20 yrs,32,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,10.155634880065918 +1991,34,0,other external,18-20 yrs,31,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,9.838271141052246 +1991,34,0,internal,18-20 yrs,72,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,22.85017967224121 +1991,34,0,all,21-24 yrs,319,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,73.17571258544922 +1991,34,0,MVA,21-24 yrs,70,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,16.05736541748047 +1991,34,0,suicide,21-24 yrs,24,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,5.505382537841797 +1991,34,0,homicide,21-24 yrs,53,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,12.157719612121582 +1991,34,0,other external,21-24 yrs,39,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,8.946247100830078 +1991,34,0,internal,21-24 yrs,133,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,30.508995056152344 +1992,34,0,MVA,15-17 yrs,55,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,18.872068405151367 +1992,34,0,suicide,15-17 yrs,14,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,4.803799152374268 +1992,34,0,homicide,15-17 yrs,29,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,9.950726509094238 +1992,34,0,other external,15-17 yrs,17,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,5.833184719085693 +1992,34,0,internal,15-17 yrs,38,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,13.038883209228516 +1992,34,0,all,18-20 yrs,185,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,61.24631118774414 +1992,34,0,MVA,18-20 yrs,54,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,17.877302169799805 +1992,34,0,suicide,18-20 yrs,16,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,5.29697847366333 +1992,34,0,homicide,18-20 yrs,35,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,11.587140083312988 +1992,34,0,other external,18-20 yrs,26,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,8.6075897216796875 +1992,34,0,internal,18-20 yrs,54,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,17.877302169799805 +1992,34,0,all,21-24 yrs,356,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,84.237823486328125 +1992,34,0,MVA,21-24 yrs,79,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,18.693225860595703 +1992,34,0,suicide,21-24 yrs,34,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,8.045185089111328 +1992,34,0,homicide,21-24 yrs,50,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,11.831154823303223 +1992,34,0,other external,21-24 yrs,32,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,7.571939468383789 +1992,34,0,internal,21-24 yrs,161,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,38.09632110595703 +1993,34,0,MVA,15-17 yrs,42,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,14.297532081604004 +1993,34,0,suicide,15-17 yrs,13,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,4.425426483154297 +1993,34,0,homicide,15-17 yrs,21,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,7.148766040802002 +1993,34,0,other external,15-17 yrs,17,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,5.78709602355957 +1993,34,0,internal,15-17 yrs,35,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,11.914609909057617 +1993,34,0,all,18-20 yrs,207,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,69.80579376220703 +1993,34,0,MVA,18-20 yrs,57,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,19.22188377380371 +1993,34,0,suicide,18-20 yrs,28,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,9.442329406738281 +1993,34,0,homicide,18-20 yrs,43,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,14.500720024108887 +1993,34,0,other external,18-20 yrs,24,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,8.093424797058105 +1993,34,0,internal,18-20 yrs,55,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,18.54743194580078 +1993,34,0,all,21-24 yrs,346,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,84.2300033569336 +1993,34,0,MVA,21-24 yrs,66,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,16.066993713378906 +1993,34,0,suicide,21-24 yrs,31,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,7.546618461608887 +1993,34,0,homicide,21-24 yrs,53,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,12.902283668518066 +1993,34,0,other external,21-24 yrs,43,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,10.467890739440918 +1993,34,0,internal,21-24 yrs,153,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,37.2462158203125 +1994,34,0,MVA,15-17 yrs,38,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,12.651864051818848 +1994,34,0,suicide,15-17 yrs,8,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,2.66355037689209 +1994,34,0,homicide,15-17 yrs,28,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,9.322425842285156 +1994,34,0,other external,15-17 yrs,18,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,5.992988109588623 +1994,34,0,internal,15-17 yrs,40,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.31775188446045 +1994,34,0,all,18-20 yrs,166,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,57.083316802978516 +1994,34,0,MVA,18-20 yrs,56,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,19.257022857666016 +1994,34,0,suicide,18-20 yrs,11,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,3.7826294898986816 +1994,34,0,homicide,18-20 yrs,38,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.067265510559082 +1994,34,0,other external,18-20 yrs,22,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,7.565258979797363 +1994,34,0,internal,18-20 yrs,39,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.411140441894531 +1994,34,0,all,21-24 yrs,346,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,86.512542724609375 +1994,34,0,MVA,21-24 yrs,78,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,19.50282859802246 +1994,34,0,suicide,21-24 yrs,45,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,11.251631736755371 +1994,34,0,homicide,21-24 yrs,53,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.251921653747559 +1994,34,0,other external,21-24 yrs,47,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,11.751704216003418 +1994,34,0,internal,21-24 yrs,123,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,30.754459381103516 +1995,34,0,MVA,15-17 yrs,45,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,14.700406074523926 +1995,34,0,suicide,15-17 yrs,19,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,6.206838130950928 +1995,34,0,homicide,15-17 yrs,21,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,6.860189437866211 +1995,34,0,other external,15-17 yrs,13,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,4.24678373336792 +1995,34,0,internal,15-17 yrs,46,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,15.027081489562988 +1995,34,0,all,18-20 yrs,184,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,63.04695129394531 +1995,34,0,MVA,18-20 yrs,54,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,18.50290870666504 +1995,34,0,suicide,18-20 yrs,22,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,7.538222312927246 +1995,34,0,homicide,18-20 yrs,35,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,11.992626190185547 +1995,34,0,other external,18-20 yrs,25,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,8.566161155700684 +1995,34,0,internal,18-20 yrs,48,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,16.447031021118164 +1995,34,0,all,21-24 yrs,301,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,77.84918975830078 +1995,34,0,MVA,21-24 yrs,65,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,16.81128692626953 +1995,34,0,suicide,21-24 yrs,38,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,9.828137397766113 +1995,34,0,homicide,21-24 yrs,67,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,17.32855796813965 +1995,34,0,other external,21-24 yrs,44,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,11.379947662353516 +1995,34,0,internal,21-24 yrs,87,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,22.50126075744629 +1996,34,0,MVA,15-17 yrs,41,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.237336158752441 +1996,34,0,suicide,15-17 yrs,11,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,3.551480293273926 +1996,34,0,homicide,15-17 yrs,23,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,7.4258222579956055 +1996,34,0,other external,15-17 yrs,14,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,4.520065784454346 +1996,34,0,internal,15-17 yrs,41,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.237336158752441 +1996,34,0,all,18-20 yrs,198,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,67.74813079833984 +1996,34,0,MVA,18-20 yrs,51,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.450275421142578 +1996,34,0,suicide,18-20 yrs,14,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,4.790271759033203 +1996,34,0,homicide,18-20 yrs,52,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.792436599731445 +1996,34,0,other external,18-20 yrs,31,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.607029914855957 +1996,34,0,internal,18-20 yrs,50,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.108112335205078 +1996,34,0,all,21-24 yrs,298,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,79.214447021484375 +1996,34,0,MVA,21-24 yrs,80,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,21.265623092651367 +1996,34,0,suicide,21-24 yrs,38,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.101171493530273 +1996,34,0,homicide,21-24 yrs,52,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.82265567779541 +1996,34,0,other external,21-24 yrs,39,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.36699104309082 +1996,34,0,internal,21-24 yrs,89,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,23.65800666809082 +1970,35,0,MVA,15-17 yrs,39,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,57.665863037109375 +1970,35,0,suicide,15-17 yrs,10,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,14.786118507385254 +1970,35,0,homicide,15-17 yrs,5,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,7.393059253692627 +1970,35,0,other external,15-17 yrs,19,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,28.093626022338867 +1970,35,0,internal,15-17 yrs,29,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,42.87974548339844 +1970,35,0,all,18-20 yrs,118,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,213.04638671875 +1970,35,0,MVA,18-20 yrs,61,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,110.13414764404297 +1970,35,0,suicide,18-20 yrs,5,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,9.0273895263671875 +1970,35,0,homicide,18-20 yrs,6,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,10.832866668701172 +1970,35,0,other external,18-20 yrs,22,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,39.72051239013672 +1970,35,0,internal,18-20 yrs,24,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,43.33146667480469 +1970,35,0,all,21-24 yrs,180,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,276.501953125 +1970,35,0,MVA,21-24 yrs,83,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,127.49811553955078 +1970,35,0,suicide,21-24 yrs,20,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,30.72243881225586 +1970,35,0,homicide,21-24 yrs,7,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,10.752853393554688 +1970,35,0,other external,21-24 yrs,39,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,59.908756256103516 +1970,35,0,internal,21-24 yrs,31,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,47.61977767944336 +1971,35,0,MVA,15-17 yrs,53,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,74.7479019165039 +1971,35,0,suicide,15-17 yrs,4,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,5.641351222991943 +1971,35,0,homicide,15-17 yrs,3,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,4.231013298034668 +1971,35,0,other external,15-17 yrs,14,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,19.744728088378906 +1971,35,0,internal,15-17 yrs,19,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,26.796417236328125 +1971,35,0,all,18-20 yrs,146,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,241.8820343017578 +1971,35,0,MVA,18-20 yrs,74,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,122.59774780273438 +1971,35,0,suicide,18-20 yrs,11,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,18.223989486694336 +1971,35,0,homicide,18-20 yrs,17,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,28.16434669494629 +1971,35,0,other external,18-20 yrs,27,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,44.73160934448242 +1971,35,0,internal,18-20 yrs,17,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,28.16434669494629 +1971,35,0,all,21-24 yrs,167,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,233.38038635253906 +1971,35,0,MVA,21-24 yrs,70,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,97.82411193847656 +1971,35,0,suicide,21-24 yrs,19,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,26.55225944519043 +1971,35,0,homicide,21-24 yrs,16,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,22.35979652404785 +1971,35,0,other external,21-24 yrs,29,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,40.52713394165039 +1971,35,0,internal,21-24 yrs,33,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,46.11708068847656 +1972,35,0,MVA,15-17 yrs,44,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,59.98064422607422 +1972,35,0,suicide,15-17 yrs,6,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,8.179178237915039 +1972,35,0,homicide,15-17 yrs,4,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,5.452785491943359 +1972,35,0,other external,15-17 yrs,18,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,24.537534713745117 +1972,35,0,internal,15-17 yrs,14,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.084749221801758 +1972,35,0,all,18-20 yrs,120,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,186.84022521972656 +1972,35,0,MVA,18-20 yrs,48,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,74.73609161376953 +1972,35,0,suicide,18-20 yrs,14,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,21.798025131225586 +1972,35,0,homicide,18-20 yrs,14,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,21.798025131225586 +1972,35,0,other external,18-20 yrs,20,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,31.140037536621094 +1972,35,0,internal,18-20 yrs,24,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,37.368045806884766 +1972,35,0,all,21-24 yrs,166,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,230.49473571777344 +1972,35,0,MVA,21-24 yrs,78,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,108.30475616455078 +1972,35,0,suicide,21-24 yrs,14,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.439313888549805 +1972,35,0,homicide,21-24 yrs,14,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.439313888549805 +1972,35,0,other external,21-24 yrs,32,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,44.43272018432617 +1972,35,0,internal,21-24 yrs,28,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,38.87862777709961 +1973,35,0,MVA,15-17 yrs,49,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,64.8534164428711 +1973,35,0,suicide,15-17 yrs,10,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,13.235391616821289 +1973,35,0,homicide,15-17 yrs,2,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,2.647078275680542 +1973,35,0,other external,15-17 yrs,25,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,33.088478088378906 +1973,35,0,internal,15-17 yrs,19,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,25.14724349975586 +1973,35,0,all,18-20 yrs,158,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,233.84889221191406 +1973,35,0,MVA,18-20 yrs,77,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,113.9643325805664 +1973,35,0,suicide,18-20 yrs,15,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,22.200843811035156 +1973,35,0,homicide,18-20 yrs,14,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,20.720787048339844 +1973,35,0,other external,18-20 yrs,32,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,47.36180114746094 +1973,35,0,internal,18-20 yrs,20,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,29.601125717163086 +1973,35,0,all,21-24 yrs,203,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,271.5028991699219 +1973,35,0,MVA,21-24 yrs,87,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,116.35838317871094 +1973,35,0,suicide,21-24 yrs,18,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,24.074148178100586 +1973,35,0,homicide,21-24 yrs,28,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,37.44867706298828 +1973,35,0,other external,21-24 yrs,31,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,41.46103286743164 +1973,35,0,internal,21-24 yrs,39,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,52.1606559753418 +1974,35,0,MVA,15-17 yrs,50,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,64.23597717285156 +1974,35,0,suicide,15-17 yrs,11,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,14.131915092468262 +1974,35,0,homicide,15-17 yrs,6,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,7.708317279815674 +1974,35,0,other external,15-17 yrs,19,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,24.409671783447266 +1974,35,0,internal,15-17 yrs,21,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,26.979110717773438 +1974,35,0,all,18-20 yrs,160,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,231.58200073242188 +1974,35,0,MVA,18-20 yrs,71,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,102.76451110839844 +1974,35,0,suicide,18-20 yrs,23,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,33.289913177490234 +1974,35,0,homicide,18-20 yrs,11,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,15.92126178741455 +1974,35,0,other external,18-20 yrs,23,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,33.289913177490234 +1974,35,0,internal,18-20 yrs,32,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,46.31639862060547 +1974,35,0,all,21-24 yrs,201,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,260.268310546875 +1974,35,0,MVA,21-24 yrs,82,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,106.17910766601562 +1974,35,0,suicide,21-24 yrs,18,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,23.30760955810547 +1974,35,0,homicide,21-24 yrs,13,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,16.83327293395996 +1974,35,0,other external,21-24 yrs,33,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,42.73061752319336 +1974,35,0,internal,21-24 yrs,55,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,71.21768951416016 +1975,35,0,MVA,15-17 yrs,46,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,57.750492095947266 +1975,35,0,suicide,15-17 yrs,10,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,12.554454803466797 +1975,35,0,homicide,15-17 yrs,7,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,8.788118362426758 +1975,35,0,other external,15-17 yrs,21,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.364355087280273 +1975,35,0,internal,15-17 yrs,21,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.364355087280273 +1975,35,0,all,18-20 yrs,147,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,205.3531494140625 +1975,35,0,MVA,18-20 yrs,69,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,96.39025115966797 +1975,35,0,suicide,18-20 yrs,18,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,25.14528465270996 +1975,35,0,homicide,18-20 yrs,14,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,19.557443618774414 +1975,35,0,other external,18-20 yrs,25,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,34.92400360107422 +1975,35,0,internal,18-20 yrs,21,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,29.336164474487305 +1975,35,0,all,21-24 yrs,173,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,209.9998779296875 +1975,35,0,MVA,21-24 yrs,73,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,88.61266326904297 +1975,35,0,suicide,21-24 yrs,22,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.70518684387207 +1975,35,0,homicide,21-24 yrs,25,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,30.346803665161133 +1975,35,0,other external,21-24 yrs,21,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,25.491313934326172 +1975,35,0,internal,21-24 yrs,32,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,38.84390640258789 +1976,35,0,MVA,15-17 yrs,65,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,79.54476165771484 +1976,35,0,suicide,15-17 yrs,11,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,13.461421012878418 +1976,35,0,homicide,15-17 yrs,6,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,7.342593193054199 +1976,35,0,other external,15-17 yrs,21,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,25.69907569885254 +1976,35,0,internal,15-17 yrs,11,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,13.461421012878418 +1976,35,0,all,18-20 yrs,113,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,153.48464965820312 +1976,35,0,MVA,18-20 yrs,59,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,80.13800048828125 +1976,35,0,suicide,18-20 yrs,11,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,14.940982818603516 +1976,35,0,homicide,18-20 yrs,16,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,21.73233985900879 +1976,35,0,other external,18-20 yrs,9,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,12.224440574645996 +1976,35,0,internal,18-20 yrs,18,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,24.448881149291992 +1976,35,0,all,21-24 yrs,215,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,246.09115600585938 +1976,35,0,MVA,21-24 yrs,86,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,98.43646240234375 +1976,35,0,suicide,21-24 yrs,38,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,43.495182037353516 +1976,35,0,homicide,21-24 yrs,10,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,11.446100234985352 +1976,35,0,other external,21-24 yrs,43,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,49.218231201171875 +1976,35,0,internal,21-24 yrs,38,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,43.495182037353516 +1977,35,0,MVA,15-17 yrs,62,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,75.22080993652344 +1977,35,0,suicide,15-17 yrs,17,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.62506103515625 +1977,35,0,homicide,15-17 yrs,5,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,6.066194534301758 +1977,35,0,other external,15-17 yrs,22,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,26.691255569458008 +1977,35,0,internal,15-17 yrs,17,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.62506103515625 +1977,35,0,all,18-20 yrs,151,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,201.44076538085938 +1977,35,0,MVA,18-20 yrs,85,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,113.39380645751953 +1977,35,0,suicide,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,homicide,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,other external,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,internal,18-20 yrs,21,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,28.014942169189453 +1977,35,0,all,21-24 yrs,193,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,211.88766479492188 +1977,35,0,MVA,21-24 yrs,92,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,101.00344848632812 +1977,35,0,suicide,21-24 yrs,40,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,43.91454315185547 +1977,35,0,homicide,21-24 yrs,14,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,15.370089530944824 +1977,35,0,other external,21-24 yrs,21,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,23.055133819580078 +1977,35,0,internal,21-24 yrs,26,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,28.544452667236328 +1978,35,0,MVA,15-17 yrs,39,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,47.776554107666016 +1978,35,0,suicide,15-17 yrs,8,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,9.800318717956543 +1978,35,0,homicide,15-17 yrs,9,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,11.025358200073242 +1978,35,0,other external,15-17 yrs,9,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,11.025358200073242 +1978,35,0,internal,15-17 yrs,11,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,13.475438117980957 +1978,35,0,all,18-20 yrs,152,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,201.62628173828125 +1978,35,0,MVA,18-20 yrs,81,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,107.4455795288086 +1978,35,0,suicide,18-20 yrs,16,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,21.223817825317383 +1978,35,0,homicide,18-20 yrs,17,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,22.55030632019043 +1978,35,0,other external,18-20 yrs,20,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,26.529773712158203 +1978,35,0,internal,18-20 yrs,18,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,23.876794815063477 +1978,35,0,all,21-24 yrs,241,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,256.7599182128906 +1978,35,0,MVA,21-24 yrs,113,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,120.38951110839844 +1978,35,0,suicide,21-24 yrs,30,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,31.961816787719727 +1978,35,0,homicide,21-24 yrs,23,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,24.504058837890625 +1978,35,0,other external,21-24 yrs,39,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,41.55036163330078 +1978,35,0,internal,21-24 yrs,36,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,38.35417938232422 +1979,35,0,MVA,15-17 yrs,47,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,57.57828140258789 +1979,35,0,suicide,15-17 yrs,11,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,13.475768089294434 +1979,35,0,homicide,15-17 yrs,7,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,8.575489044189453 +1979,35,0,other external,15-17 yrs,13,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,15.925908088684082 +1979,35,0,internal,15-17 yrs,15,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,18.376047134399414 +1979,35,0,all,18-20 yrs,165,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,211.06491088867188 +1979,35,0,MVA,18-20 yrs,92,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,117.68468475341797 +1979,35,0,suicide,18-20 yrs,22,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,28.14198875427246 +1979,35,0,homicide,18-20 yrs,13,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,16.629356384277344 +1979,35,0,other external,18-20 yrs,25,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,31.97953224182129 +1979,35,0,internal,18-20 yrs,13,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,16.629356384277344 +1979,35,0,all,21-24 yrs,242,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,245.82003784179688 +1979,35,0,MVA,21-24 yrs,106,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,107.6732406616211 +1979,35,0,suicide,21-24 yrs,37,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,37.58405685424805 +1979,35,0,homicide,21-24 yrs,22,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,22.34727668762207 +1979,35,0,other external,21-24 yrs,46,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,46.72612380981445 +1979,35,0,internal,21-24 yrs,31,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,31.489343643188477 +1980,35,0,MVA,15-17 yrs,44,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,55.757606506347656 +1980,35,0,suicide,15-17 yrs,6,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,7.6033101081848145 +1980,35,0,homicide,15-17 yrs,5,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,6.3360915184021 +1980,35,0,other external,15-17 yrs,16,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,20.275493621826172 +1980,35,0,internal,15-17 yrs,11,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,13.939401626586914 +1980,35,0,all,18-20 yrs,165,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,208.28073120117188 +1980,35,0,MVA,18-20 yrs,73,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,92.14844512939453 +1980,35,0,suicide,18-20 yrs,15,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,18.934612274169922 +1980,35,0,homicide,18-20 yrs,22,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,27.77076530456543 +1980,35,0,other external,18-20 yrs,33,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.65614700317383 +1980,35,0,internal,18-20 yrs,22,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,27.77076530456543 +1980,35,0,all,21-24 yrs,236,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,236.61520385742188 +1980,35,0,MVA,21-24 yrs,78,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,78.20333099365234 +1980,35,0,suicide,21-24 yrs,41,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.106876373291016 +1980,35,0,homicide,21-24 yrs,41,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.106876373291016 +1980,35,0,other external,21-24 yrs,38,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,38.099056243896484 +1980,35,0,internal,21-24 yrs,38,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,38.099056243896484 +1981,35,0,MVA,15-17 yrs,31,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,40.91598892211914 +1981,35,0,suicide,15-17 yrs,11,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,14.518577575683594 +1981,35,0,homicide,15-17 yrs,7,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,9.239094734191895 +1981,35,0,other external,15-17 yrs,12,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,15.838447570800781 +1981,35,0,internal,15-17 yrs,14,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,18.47818946838379 +1981,35,0,all,18-20 yrs,145,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,180.47845458984375 +1981,35,0,MVA,18-20 yrs,59,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,73.4360580444336 +1981,35,0,suicide,18-20 yrs,25,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,31.116975784301758 +1981,35,0,homicide,18-20 yrs,15,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,18.670185089111328 +1981,35,0,other external,18-20 yrs,14,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,17.425506591796875 +1981,35,0,internal,18-20 yrs,32,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,39.82972717285156 +1981,35,0,all,21-24 yrs,219,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,218.45822143554688 +1981,35,0,MVA,21-24 yrs,75,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,74.81446075439453 +1981,35,0,suicide,21-24 yrs,28,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,27.93073272705078 +1981,35,0,homicide,21-24 yrs,27,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,26.93320655822754 +1981,35,0,other external,21-24 yrs,39,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,38.90351867675781 +1981,35,0,internal,21-24 yrs,50,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,49.87630844116211 +1982,35,0,MVA,15-17 yrs,40,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,54.998695373535156 +1982,35,0,suicide,15-17 yrs,8,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,10.999738693237305 +1982,35,0,homicide,15-17 yrs,4,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,5.499869346618652 +1982,35,0,other external,15-17 yrs,12,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,16.499608993530273 +1982,35,0,internal,15-17 yrs,11,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,15.124640464782715 +1982,35,0,all,18-20 yrs,149,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,184.54525756835938 +1982,35,0,MVA,18-20 yrs,76,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,94.1304702758789 +1982,35,0,suicide,18-20 yrs,30,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,37.15676498413086 +1982,35,0,homicide,18-20 yrs,8,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,9.908470153808594 +1982,35,0,other external,18-20 yrs,14,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,17.33982276916504 +1982,35,0,internal,18-20 yrs,21,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,26.009735107421875 +1982,35,0,all,21-24 yrs,192,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,189.43692016601562 +1982,35,0,MVA,21-24 yrs,90,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,88.798553466796875 +1982,35,0,suicide,21-24 yrs,33,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,32.559471130371094 +1982,35,0,homicide,21-24 yrs,20,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,19.733013153076172 +1982,35,0,other external,21-24 yrs,24,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,23.679615020751953 +1982,35,0,internal,21-24 yrs,25,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,24.6662654876709 +1983,35,0,MVA,15-17 yrs,26,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,37.00909423828125 +1983,35,0,suicide,15-17 yrs,16,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,22.77482795715332 +1983,35,0,homicide,15-17 yrs,3,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,4.270280361175537 +1983,35,0,other external,15-17 yrs,12,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,17.08112144470215 +1983,35,0,internal,15-17 yrs,19,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,27.045108795166016 +1983,35,0,all,18-20 yrs,123,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,153.3531951904297 +1983,35,0,MVA,18-20 yrs,67,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,83.53385925292969 +1983,35,0,suicide,18-20 yrs,19,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,23.688705444335938 +1983,35,0,homicide,18-20 yrs,7,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,8.727417945861816 +1983,35,0,other external,18-20 yrs,11,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,13.714513778686523 +1983,35,0,internal,18-20 yrs,19,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,23.688705444335938 +1983,35,0,all,21-24 yrs,172,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,167.16232299804688 +1983,35,0,MVA,21-24 yrs,67,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,65.11555480957031 +1983,35,0,suicide,21-24 yrs,29,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,28.184345245361328 +1983,35,0,homicide,21-24 yrs,23,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,22.35310173034668 +1983,35,0,other external,21-24 yrs,28,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,27.21247100830078 +1983,35,0,internal,21-24 yrs,25,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,24.29684829711914 +1984,35,0,MVA,15-17 yrs,18,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,25.647235870361328 +1984,35,0,suicide,15-17 yrs,11,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,15.673311233520508 +1984,35,0,homicide,15-17 yrs,5,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,7.124232292175293 +1984,35,0,other external,15-17 yrs,8,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.398772239685059 +1984,35,0,internal,15-17 yrs,8,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.398772239685059 +1984,35,0,all,18-20 yrs,127,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,166.7848663330078 +1984,35,0,MVA,18-20 yrs,53,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,69.60313415527344 +1984,35,0,suicide,18-20 yrs,19,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,24.95206642150879 +1984,35,0,homicide,18-20 yrs,9,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.8193998336792 +1984,35,0,other external,18-20 yrs,24,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,31.51839828491211 +1984,35,0,internal,18-20 yrs,22,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,28.891864776611328 +1984,35,0,all,21-24 yrs,193,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,185.5251922607422 +1984,35,0,MVA,21-24 yrs,86,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,82.66925811767578 +1984,35,0,suicide,21-24 yrs,37,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,35.5670051574707 +1984,35,0,homicide,21-24 yrs,18,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,17.302867889404297 +1984,35,0,other external,21-24 yrs,27,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,25.954301834106445 +1984,35,0,internal,21-24 yrs,25,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,24.031761169433594 +1985,35,0,MVA,15-17 yrs,39,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,54.57904052734375 +1985,35,0,suicide,15-17 yrs,8,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,11.195700645446777 +1985,35,0,homicide,15-17 yrs,6,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,8.396775245666504 +1985,35,0,other external,15-17 yrs,12,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,16.793550491333008 +1985,35,0,internal,15-17 yrs,12,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,16.793550491333008 +1985,35,0,all,18-20 yrs,115,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,159.6401824951172 +1985,35,0,MVA,18-20 yrs,60,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,83.29053497314453 +1985,35,0,suicide,18-20 yrs,15,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,20.822633743286133 +1985,35,0,homicide,18-20 yrs,8,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,11.105403900146484 +1985,35,0,other external,18-20 yrs,13,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,18.046281814575195 +1985,35,0,internal,18-20 yrs,19,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,26.375335693359375 +1985,35,0,all,21-24 yrs,197,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,189.11032104492188 +1985,35,0,MVA,21-24 yrs,84,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,80.63587188720703 +1985,35,0,suicide,21-24 yrs,38,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,36.47813415527344 +1985,35,0,homicide,21-24 yrs,24,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,23.038820266723633 +1985,35,0,other external,21-24 yrs,25,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,23.99877166748047 +1985,35,0,internal,21-24 yrs,26,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,24.958721160888672 +1986,35,0,MVA,15-17 yrs,33,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,44.868656158447266 +1986,35,0,suicide,15-17 yrs,11,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,14.956218719482422 +1986,35,0,homicide,15-17 yrs,12,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,16.315876007080078 +1986,35,0,other external,15-17 yrs,14,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,19.035188674926758 +1986,35,0,internal,15-17 yrs,14,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,19.035188674926758 +1986,35,0,all,18-20 yrs,133,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,192.8067169189453 +1986,35,0,MVA,18-20 yrs,63,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,91.329498291015625 +1986,35,0,suicide,18-20 yrs,21,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,30.443164825439453 +1986,35,0,homicide,18-20 yrs,19,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,27.54381561279297 +1986,35,0,other external,18-20 yrs,15,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,21.745119094848633 +1986,35,0,internal,18-20 yrs,15,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,21.745119094848633 +1986,35,0,all,21-24 yrs,181,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,176.32388305664062 +1986,35,0,MVA,21-24 yrs,66,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,64.2948989868164 +1986,35,0,suicide,21-24 yrs,37,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,36.04410934448242 +1986,35,0,homicide,21-24 yrs,18,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,17.53497314453125 +1986,35,0,other external,21-24 yrs,30,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,29.22495460510254 +1986,35,0,internal,21-24 yrs,30,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,29.22495460510254 +1987,35,0,MVA,15-17 yrs,35,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,47.79200744628906 +1987,35,0,suicide,15-17 yrs,13,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,17.751317977905273 +1987,35,0,homicide,15-17 yrs,4,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,5.461944103240967 +1987,35,0,other external,15-17 yrs,4,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,5.461944103240967 +1987,35,0,internal,15-17 yrs,9,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,12.289373397827148 +1987,35,0,all,18-20 yrs,113,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,166.82907104492188 +1987,35,0,MVA,18-20 yrs,56,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,82.67635345458984 +1987,35,0,suicide,18-20 yrs,15,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,22.145450592041016 +1987,35,0,homicide,18-20 yrs,14,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,20.66908836364746 +1987,35,0,other external,18-20 yrs,12,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,17.71636199951172 +1987,35,0,internal,18-20 yrs,16,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,23.621814727783203 +1987,35,0,all,21-24 yrs,169,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,171.5439910888672 +1987,35,0,MVA,21-24 yrs,75,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,76.12899017333984 +1987,35,0,suicide,21-24 yrs,34,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,34.511810302734375 +1987,35,0,homicide,21-24 yrs,15,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,15.225798606872559 +1987,35,0,other external,21-24 yrs,19,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,19.2860107421875 +1987,35,0,internal,21-24 yrs,26,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,26.39138412475586 +1988,35,0,MVA,15-17 yrs,31,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,43.29608917236328 +1988,35,0,suicide,15-17 yrs,21,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,29.329608917236328 +1988,35,0,homicide,15-17 yrs,14,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,19.553071975708008 +1988,35,0,other external,15-17 yrs,10,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,13.966480255126953 +1988,35,0,internal,15-17 yrs,11,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,15.363128662109375 +1988,35,0,all,18-20 yrs,96,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,141.85655212402344 +1988,35,0,MVA,18-20 yrs,47,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,69.45059967041016 +1988,35,0,suicide,18-20 yrs,22,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,32.508792877197266 +1988,35,0,homicide,18-20 yrs,11,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,16.254396438598633 +1988,35,0,other external,18-20 yrs,10,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,14.776723861694336 +1988,35,0,internal,18-20 yrs,6,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,8.866034507751465 +1988,35,0,all,21-24 yrs,153,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,165.5020294189453 +1988,35,0,MVA,21-24 yrs,62,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,67.06617736816406 +1988,35,0,suicide,21-24 yrs,34,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,36.778228759765625 +1988,35,0,homicide,21-24 yrs,13,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,14.062263488769531 +1988,35,0,other external,21-24 yrs,21,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,22.71596336364746 +1988,35,0,internal,21-24 yrs,23,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,24.8793888092041 +1989,35,0,MVA,15-17 yrs,32,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,46.34591293334961 +1989,35,0,suicide,15-17 yrs,13,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,18.828027725219727 +1989,35,0,homicide,15-17 yrs,2,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,2.8966195583343506 +1989,35,0,other external,15-17 yrs,14,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,20.276336669921875 +1989,35,0,internal,15-17 yrs,9,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,13.034788131713867 +1989,35,0,all,18-20 yrs,103,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,150.2399444580078 +1989,35,0,MVA,18-20 yrs,53,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,77.30792999267578 +1989,35,0,suicide,18-20 yrs,21,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,30.631444931030273 +1989,35,0,homicide,18-20 yrs,12,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,17.50368309020996 +1989,35,0,other external,18-20 yrs,7,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,10.210481643676758 +1989,35,0,internal,18-20 yrs,10,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,14.586402893066406 +1989,35,0,all,21-24 yrs,172,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,197.11659240722656 +1989,35,0,MVA,21-24 yrs,75,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,85.9520034790039 +1989,35,0,suicide,21-24 yrs,33,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,37.81888198852539 +1989,35,0,homicide,21-24 yrs,20,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,22.920534133911133 +1989,35,0,other external,21-24 yrs,13,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,14.898347854614258 +1989,35,0,internal,21-24 yrs,31,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,35.52682876586914 +1990,35,0,MVA,15-17 yrs,44,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,64.030731201171875 +1990,35,0,suicide,15-17 yrs,13,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,18.918170928955078 +1990,35,0,homicide,15-17 yrs,9,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,13.097195625305176 +1990,35,0,other external,15-17 yrs,17,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,24.739147186279297 +1990,35,0,internal,15-17 yrs,15,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,21.828659057617188 +1990,35,0,all,18-20 yrs,115,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,168.12127685546875 +1990,35,0,MVA,18-20 yrs,55,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,80.40583038330078 +1990,35,0,suicide,18-20 yrs,18,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,26.31463623046875 +1990,35,0,homicide,18-20 yrs,11,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,16.081165313720703 +1990,35,0,other external,18-20 yrs,17,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,24.852710723876953 +1990,35,0,internal,18-20 yrs,14,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,20.466938018798828 +1990,35,0,all,21-24 yrs,143,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,170.8197021484375 +1990,35,0,MVA,21-24 yrs,63,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,75.25623321533203 +1990,35,0,suicide,21-24 yrs,26,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,31.05812644958496 +1990,35,0,homicide,21-24 yrs,18,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,21.501779556274414 +1990,35,0,other external,21-24 yrs,12,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,14.33452033996582 +1990,35,0,internal,21-24 yrs,24,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,28.66904067993164 +1991,35,0,MVA,15-17 yrs,19,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,27.23233413696289 +1991,35,0,suicide,15-17 yrs,16,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,22.932493209838867 +1991,35,0,homicide,15-17 yrs,7,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,10.032965660095215 +1991,35,0,other external,15-17 yrs,10,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,14.332807540893555 +1991,35,0,internal,15-17 yrs,9,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,12.899526596069336 +1991,35,0,all,18-20 yrs,108,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,155.10110473632812 +1991,35,0,MVA,18-20 yrs,54,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,77.55055236816406 +1991,35,0,suicide,18-20 yrs,17,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,24.4140625 +1991,35,0,homicide,18-20 yrs,21,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,30.15854835510254 +1991,35,0,other external,18-20 yrs,6,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,8.616727828979492 +1991,35,0,internal,18-20 yrs,10,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,14.361213684082031 +1991,35,0,all,21-24 yrs,149,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,178.32138061523438 +1991,35,0,MVA,21-24 yrs,50,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,59.83938980102539 +1991,35,0,suicide,21-24 yrs,23,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,27.526119232177734 +1991,35,0,homicide,21-24 yrs,26,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,31.116483688354492 +1991,35,0,other external,21-24 yrs,21,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,25.132543563842773 +1991,35,0,internal,21-24 yrs,29,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,34.70684814453125 +1992,35,0,MVA,15-17 yrs,20,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,27.584304809570312 +1992,35,0,suicide,15-17 yrs,12,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,16.550582885742188 +1992,35,0,homicide,15-17 yrs,8,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,11.033721923828125 +1992,35,0,other external,15-17 yrs,7,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,9.65450668334961 +1992,35,0,internal,15-17 yrs,13,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,17.929798126220703 +1992,35,0,all,18-20 yrs,100,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,141.53079223632812 +1992,35,0,MVA,18-20 yrs,31,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,43.87454605102539 +1992,35,0,suicide,18-20 yrs,19,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,26.890851974487305 +1992,35,0,homicide,18-20 yrs,20,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,28.30615997314453 +1992,35,0,other external,18-20 yrs,18,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,25.475543975830078 +1992,35,0,internal,18-20 yrs,12,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,16.98369598388672 +1992,35,0,all,21-24 yrs,137,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,160.82266235351562 +1992,35,0,MVA,21-24 yrs,51,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,59.868289947509766 +1992,35,0,suicide,21-24 yrs,36,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,42.25996780395508 +1992,35,0,homicide,21-24 yrs,13,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,15.260544776916504 +1992,35,0,other external,21-24 yrs,15,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,17.608320236206055 +1992,35,0,internal,21-24 yrs,22,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,25.825536727905273 +1993,35,0,MVA,15-17 yrs,21,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,27.93593406677246 +1993,35,0,suicide,15-17 yrs,8,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,10.642260551452637 +1993,35,0,homicide,15-17 yrs,8,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,10.642260551452637 +1993,35,0,other external,15-17 yrs,3,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,3.990847587585449 +1993,35,0,internal,15-17 yrs,11,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,14.633108139038086 +1993,35,0,all,18-20 yrs,109,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,151.02391052246094 +1993,35,0,MVA,18-20 yrs,44,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,60.963783264160156 +1993,35,0,suicide,18-20 yrs,22,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,30.481891632080078 +1993,35,0,homicide,18-20 yrs,18,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,24.939729690551758 +1993,35,0,other external,18-20 yrs,11,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,15.240945816040039 +1993,35,0,internal,18-20 yrs,14,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,19.397567749023438 +1993,35,0,all,21-24 yrs,144,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,165.8355712890625 +1993,35,0,MVA,21-24 yrs,52,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,59.885066986083984 +1993,35,0,suicide,21-24 yrs,29,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,33.39744186401367 +1993,35,0,homicide,21-24 yrs,20,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,23.032718658447266 +1993,35,0,other external,21-24 yrs,13,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,14.971266746520996 +1993,35,0,internal,21-24 yrs,30,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,34.549076080322266 +1994,35,0,MVA,15-17 yrs,22,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,27.959585189819336 +1994,35,0,suicide,15-17 yrs,19,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,24.146915435791016 +1994,35,0,homicide,15-17 yrs,18,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.87602424621582 +1994,35,0,other external,15-17 yrs,5,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,6.3544511795043945 +1994,35,0,internal,15-17 yrs,9,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,11.43801212310791 +1994,35,0,all,18-20 yrs,98,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,132.32156372070312 +1994,35,0,MVA,18-20 yrs,45,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,60.75990295410156 +1994,35,0,suicide,18-20 yrs,15,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,20.2533016204834 +1994,35,0,homicide,18-20 yrs,8,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,10.80176067352295 +1994,35,0,other external,18-20 yrs,13,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,17.552860260009766 +1994,35,0,internal,18-20 yrs,17,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.9537410736084 +1994,35,0,all,21-24 yrs,139,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,155.11141967773438 +1994,35,0,MVA,21-24 yrs,59,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,65.83866119384766 +1994,35,0,suicide,21-24 yrs,23,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,25.665918350219727 +1994,35,0,homicide,21-24 yrs,24,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,26.781827926635742 +1994,35,0,other external,21-24 yrs,13,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,14.506823539733887 +1994,35,0,internal,21-24 yrs,20,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.31818962097168 +1995,35,0,MVA,15-17 yrs,37,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,45.166015625 +1995,35,0,suicide,15-17 yrs,11,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,13.427734375 +1995,35,0,homicide,15-17 yrs,13,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,15.869140625 +1995,35,0,other external,15-17 yrs,5,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,6.103515625 +1995,35,0,internal,15-17 yrs,19,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,23.193359375 +1995,35,0,all,18-20 yrs,113,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,147.614013671875 +1995,35,0,MVA,18-20 yrs,51,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,66.62225341796875 +1995,35,0,suicide,18-20 yrs,17,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.207416534423828 +1995,35,0,homicide,18-20 yrs,15,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,19.59477996826172 +1995,35,0,other external,18-20 yrs,13,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,16.98214340209961 +1995,35,0,internal,18-20 yrs,17,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.207416534423828 +1995,35,0,all,21-24 yrs,127,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,139.93873596191406 +1995,35,0,MVA,21-24 yrs,45,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,49.584590911865234 +1995,35,0,suicide,21-24 yrs,22,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,24.241355895996094 +1995,35,0,homicide,21-24 yrs,17,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,18.731956481933594 +1995,35,0,other external,21-24 yrs,23,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,25.34323501586914 +1995,35,0,internal,21-24 yrs,20,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.037595748901367 +1996,35,0,MVA,15-17 yrs,34,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,40.1123161315918 +1996,35,0,suicide,15-17 yrs,6,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,7.078643798828125 +1996,35,0,homicide,15-17 yrs,12,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,14.15728759765625 +1996,35,0,other external,15-17 yrs,7,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,8.258418083190918 +1996,35,0,internal,15-17 yrs,15,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,17.696609497070312 +1996,35,0,all,18-20 yrs,137,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,174.94796752929688 +1996,35,0,MVA,18-20 yrs,54,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,68.95758819580078 +1996,35,0,suicide,18-20 yrs,22,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,28.093833923339844 +1996,35,0,homicide,18-20 yrs,23,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,29.370826721191406 +1996,35,0,other external,18-20 yrs,18,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,22.985864639282227 +1996,35,0,internal,18-20 yrs,20,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.53984832763672 +1996,35,0,all,21-24 yrs,147,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,160.5487060546875 +1996,35,0,MVA,21-24 yrs,60,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,65.53008270263672 +1996,35,0,suicide,21-24 yrs,20,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,21.843360900878906 +1996,35,0,homicide,21-24 yrs,23,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.11986541748047 +1996,35,0,other external,21-24 yrs,23,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.11986541748047 +1996,35,0,internal,21-24 yrs,21,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,22.935529708862305 +1970,36,1,MVA,15-17 yrs,183,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,18.971359252929688 +1970,36,1,suicide,15-17 yrs,27,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,2.7990529537200928 +1970,36,1,homicide,15-17 yrs,46,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,4.768756866455078 +1970,36,1,other external,15-17 yrs,188,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,19.489702224731445 +1970,36,1,internal,15-17 yrs,328,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,34.0033073425293 +1970,36,1,all,18-20 yrs,1205,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,135.9601593017578 +1970,36,1,MVA,18-20 yrs,328,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,37.008243560791016 +1970,36,1,suicide,18-20 yrs,51,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,5.754330635070801 +1970,36,1,homicide,18-20 yrs,125,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,14.103752136230469 +1970,36,1,other external,18-20 yrs,280,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,31.592403411865234 +1970,36,1,internal,18-20 yrs,421,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,47.501434326171875 +1970,36,1,all,21-24 yrs,1596,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,145.38406372070312 +1970,36,1,MVA,21-24 yrs,320,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,29.14968490600586 +1970,36,1,suicide,21-24 yrs,96,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,8.744905471801758 +1970,36,1,homicide,21-24 yrs,193,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,17.580904006958008 +1970,36,1,other external,21-24 yrs,391,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,35.617271423339844 +1970,36,1,internal,21-24 yrs,596,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,54.291290283203125 +1971,36,1,MVA,15-17 yrs,197,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,20.037633895874023 +1971,36,1,suicide,15-17 yrs,29,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,2.949702501296997 +1971,36,1,homicide,15-17 yrs,63,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,6.4079742431640625 +1971,36,1,other external,15-17 yrs,164,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,16.681076049804688 +1971,36,1,internal,15-17 yrs,384,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,39.058128356933594 +1971,36,1,all,18-20 yrs,1315,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,144.05149841308594 +1971,36,1,MVA,18-20 yrs,333,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,36.47843933105469 +1971,36,1,suicide,18-20 yrs,61,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,6.682236671447754 +1971,36,1,homicide,18-20 yrs,129,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,14.131287574768066 +1971,36,1,other external,18-20 yrs,218,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,23.880779266357422 +1971,36,1,internal,18-20 yrs,574,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,62.87874984741211 +1971,36,1,all,21-24 yrs,1796,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,153.59814453125 +1971,36,1,MVA,21-24 yrs,344,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,29.419687271118164 +1971,36,1,suicide,21-24 yrs,98,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,8.381190299987793 +1971,36,1,homicide,21-24 yrs,269,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,23.005512237548828 +1971,36,1,other external,21-24 yrs,281,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,24.031780242919922 +1971,36,1,internal,21-24 yrs,804,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,68.75997161865234 +1972,36,1,MVA,15-17 yrs,188,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,18.7810115814209 +1972,36,1,suicide,15-17 yrs,34,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,3.396566152572632 +1972,36,1,homicide,15-17 yrs,112,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,11.188688278198242 +1972,36,1,other external,15-17 yrs,162,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,16.183637619018555 +1972,36,1,internal,15-17 yrs,342,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,34.16545867919922 +1972,36,1,all,18-20 yrs,1292,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,139.66043090820312 +1972,36,1,MVA,18-20 yrs,346,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,37.40132141113281 +1972,36,1,suicide,18-20 yrs,74,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,7.999126434326172 +1972,36,1,homicide,18-20 yrs,154,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,16.646831512451172 +1972,36,1,other external,18-20 yrs,202,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,21.835453033447266 +1972,36,1,internal,18-20 yrs,516,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,55.77769470214844 +1972,36,1,all,21-24 yrs,1794,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,155.32858276367188 +1972,36,1,MVA,21-24 yrs,388,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,33.59391784667969 +1972,36,1,suicide,21-24 yrs,84,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,7.272910118103027 +1972,36,1,homicide,21-24 yrs,314,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,27.186830520629883 +1972,36,1,other external,21-24 yrs,242,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,20.95290756225586 +1972,36,1,internal,21-24 yrs,766,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,66.32201385498047 +1973,36,1,MVA,15-17 yrs,201,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,19.930213928222656 +1973,36,1,suicide,15-17 yrs,29,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,2.8755035400390625 +1973,36,1,homicide,15-17 yrs,95,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,9.419753074645996 +1973,36,1,other external,15-17 yrs,158,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,15.666536331176758 +1973,36,1,internal,15-17 yrs,298,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,29.54827880859375 +1973,36,1,all,18-20 yrs,1239,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,133.44937133789062 +1973,36,1,MVA,18-20 yrs,326,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,35.112586975097656 +1973,36,1,suicide,18-20 yrs,57,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,6.139317035675049 +1973,36,1,homicide,18-20 yrs,142,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,15.294439315795898 +1973,36,1,other external,18-20 yrs,197,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,21.218341827392578 +1973,36,1,internal,18-20 yrs,517,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,55.68468475341797 +1973,36,1,all,21-24 yrs,1747,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,151.37730407714844 +1973,36,1,MVA,21-24 yrs,319,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,27.64130401611328 +1973,36,1,suicide,21-24 yrs,121,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,10.48463249206543 +1973,36,1,homicide,21-24 yrs,293,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,25.388408660888672 +1973,36,1,other external,21-24 yrs,260,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,22.528963088989258 +1973,36,1,internal,21-24 yrs,754,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,65.33399200439453 +1974,36,1,MVA,15-17 yrs,151,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,14.870063781738281 +1974,36,1,suicide,15-17 yrs,24,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,2.3634538650512695 +1974,36,1,homicide,15-17 yrs,89,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,8.764474868774414 +1974,36,1,other external,15-17 yrs,136,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,13.392905235290527 +1974,36,1,internal,15-17 yrs,312,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,30.72490119934082 +1974,36,1,all,18-20 yrs,1154,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,123.12196350097656 +1974,36,1,MVA,18-20 yrs,309,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,32.96766662597656 +1974,36,1,suicide,18-20 yrs,71,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,7.575094699859619 +1974,36,1,homicide,18-20 yrs,142,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,15.150189399719238 +1974,36,1,other external,18-20 yrs,181,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,19.3111572265625 +1974,36,1,internal,18-20 yrs,451,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,48.117855072021484 +1974,36,1,all,21-24 yrs,1675,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,144.7443084716797 +1974,36,1,MVA,21-24 yrs,279,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,24.109649658203125 +1974,36,1,suicide,21-24 yrs,105,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,9.073524475097656 +1974,36,1,homicide,21-24 yrs,237,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,20.480239868164062 +1974,36,1,other external,21-24 yrs,266,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,22.98626136779785 +1974,36,1,internal,21-24 yrs,788,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,68.094635009765625 +1975,36,1,MVA,15-17 yrs,170,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,16.763004302978516 +1975,36,1,suicide,15-17 yrs,28,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,2.760965585708618 +1975,36,1,homicide,15-17 yrs,59,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,5.817748546600342 +1975,36,1,other external,15-17 yrs,146,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,14.396462440490723 +1975,36,1,internal,15-17 yrs,243,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.96123695373535 +1975,36,1,all,18-20 yrs,1071,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,112.23179626464844 +1975,36,1,MVA,18-20 yrs,307,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,32.1710205078125 +1975,36,1,suicide,18-20 yrs,74,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,7.754578113555908 +1975,36,1,homicide,18-20 yrs,140,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,14.670823097229004 +1975,36,1,other external,18-20 yrs,196,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,20.539152145385742 +1975,36,1,internal,18-20 yrs,354,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,37.09622573852539 +1975,36,1,all,21-24 yrs,1548,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,132.55569458007812 +1975,36,1,MVA,21-24 yrs,270,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.120180130004883 +1975,36,1,suicide,21-24 yrs,120,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,10.275635719299316 +1975,36,1,homicide,21-24 yrs,261,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,22.349506378173828 +1975,36,1,other external,21-24 yrs,270,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.120180130004883 +1975,36,1,internal,21-24 yrs,627,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,53.69019317626953 +1976,36,1,MVA,15-17 yrs,184,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,18.12763214111328 +1976,36,1,suicide,15-17 yrs,35,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,3.448190927505493 +1976,36,1,homicide,15-17 yrs,70,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,6.896381855010986 +1976,36,1,other external,15-17 yrs,124,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,12.216447830200195 +1976,36,1,internal,15-17 yrs,243,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,23.940296173095703 +1976,36,1,all,18-20 yrs,987,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,102.14652252197266 +1976,36,1,MVA,18-20 yrs,295,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,30.53011703491211 +1976,36,1,suicide,18-20 yrs,84,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,8.693321228027344 +1976,36,1,homicide,18-20 yrs,164,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,16.972675323486328 +1976,36,1,other external,18-20 yrs,176,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,18.21457862854004 +1976,36,1,internal,18-20 yrs,268,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,27.7358341217041 +1976,36,1,all,21-24 yrs,1531,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,130.13893127441406 +1976,36,1,MVA,21-24 yrs,227,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,19.295583724975586 +1976,36,1,suicide,21-24 yrs,169,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,14.365434646606445 +1976,36,1,homicide,21-24 yrs,267,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,22.69568634033203 +1976,36,1,other external,21-24 yrs,247,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,20.995635986328125 +1976,36,1,internal,21-24 yrs,621,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,52.786598205566406 +1977,36,1,MVA,15-17 yrs,191,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,19.033649444580078 +1977,36,1,suicide,15-17 yrs,43,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,4.285062313079834 +1977,36,1,homicide,15-17 yrs,84,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,8.370819091796875 +1977,36,1,other external,15-17 yrs,114,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,11.360397338867188 +1977,36,1,internal,15-17 yrs,211,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,21.026700973510742 +1977,36,1,all,18-20 yrs,1064,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,109.65974426269531 +1977,36,1,MVA,18-20 yrs,328,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,33.80488586425781 +1977,36,1,suicide,18-20 yrs,88,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,9.069602966308594 +1977,36,1,homicide,18-20 yrs,173,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,17.830015182495117 +1977,36,1,other external,18-20 yrs,150,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,15.459550857543945 +1977,36,1,internal,18-20 yrs,325,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,33.49569320678711 +1977,36,1,all,21-24 yrs,1441,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,122.28330993652344 +1977,36,1,MVA,21-24 yrs,285,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,24.185110092163086 +1977,36,1,suicide,21-24 yrs,153,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,12.983585357666016 +1977,36,1,homicide,21-24 yrs,247,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,20.96042823791504 +1977,36,1,other external,21-24 yrs,206,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,17.48116683959961 +1977,36,1,internal,21-24 yrs,550,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,46.67301940917969 +1978,36,1,MVA,15-17 yrs,208,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,20.945423126220703 +1978,36,1,suicide,15-17 yrs,37,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,3.7258687019348145 +1978,36,1,homicide,15-17 yrs,75,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,7.552436351776123 +1978,36,1,other external,15-17 yrs,104,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,10.472711563110352 +1978,36,1,internal,15-17 yrs,228,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,22.959407806396484 +1978,36,1,all,18-20 yrs,1021,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,106.1921157836914 +1978,36,1,MVA,18-20 yrs,346,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,35.98674774169922 +1978,36,1,suicide,18-20 yrs,93,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,9.672739028930664 +1978,36,1,homicide,18-20 yrs,141,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,14.665120124816895 +1978,36,1,other external,18-20 yrs,170,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,17.681350708007812 +1978,36,1,internal,18-20 yrs,271,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,28.186153411865234 +1978,36,1,all,21-24 yrs,1387,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,116.79930877685547 +1978,36,1,MVA,21-24 yrs,296,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,24.92616844177246 +1978,36,1,suicide,21-24 yrs,167,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,14.063075065612793 +1978,36,1,homicide,21-24 yrs,242,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,20.378828048706055 +1978,36,1,other external,21-24 yrs,232,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,19.536725997924805 +1978,36,1,internal,21-24 yrs,450,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,37.89451217651367 +1979,36,1,MVA,15-17 yrs,224,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,22.927141189575195 +1979,36,1,suicide,15-17 yrs,40,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,4.094132423400879 +1979,36,1,homicide,15-17 yrs,95,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,9.723564147949219 +1979,36,1,other external,15-17 yrs,98,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,10.030624389648438 +1979,36,1,internal,15-17 yrs,191,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,19.549482345581055 +1979,36,1,all,18-20 yrs,1047,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,109.1155776977539 +1979,36,1,MVA,18-20 yrs,326,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,33.97486114501953 +1979,36,1,suicide,18-20 yrs,97,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,10.109084129333496 +1979,36,1,homicide,18-20 yrs,221,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,23.03203773498535 +1979,36,1,other external,18-20 yrs,144,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,15.00730037689209 +1979,36,1,internal,18-20 yrs,259,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,26.992298126220703 +1979,36,1,all,21-24 yrs,1449,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,120.8004379272461 +1979,36,1,MVA,21-24 yrs,339,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,28.261798858642578 +1979,36,1,suicide,21-24 yrs,158,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,13.172165870666504 +1979,36,1,homicide,21-24 yrs,304,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,25.343914031982422 +1979,36,1,other external,21-24 yrs,224,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,18.674463272094727 +1979,36,1,internal,21-24 yrs,424,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,35.34809112548828 +1980,36,1,MVA,15-17 yrs,198,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.687925338745117 +1980,36,1,suicide,15-17 yrs,42,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,4.38834810256958 +1980,36,1,homicide,15-17 yrs,119,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,12.4336519241333 +1980,36,1,other external,15-17 yrs,81,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,8.463242530822754 +1980,36,1,internal,15-17 yrs,195,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.37447166442871 +1980,36,1,all,18-20 yrs,1065,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,111.56587219238281 +1980,36,1,MVA,18-20 yrs,359,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,37.60765075683594 +1980,36,1,suicide,18-20 yrs,94,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,9.847128868103027 +1980,36,1,homicide,18-20 yrs,195,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.427553176879883 +1980,36,1,other external,18-20 yrs,151,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,15.818260192871094 +1980,36,1,internal,18-20 yrs,266,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,27.865278244018555 +1980,36,1,all,21-24 yrs,1492,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,123.21566772460938 +1980,36,1,MVA,21-24 yrs,369,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,30.47357940673828 +1980,36,1,suicide,21-24 yrs,160,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,13.213476181030273 +1980,36,1,homicide,21-24 yrs,310,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,25.601110458374023 +1980,36,1,other external,21-24 yrs,188,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,15.525834083557129 +1980,36,1,internal,21-24 yrs,465,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,38.40166473388672 +1981,36,1,MVA,15-17 yrs,171,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,18.39128875732422 +1981,36,1,suicide,15-17 yrs,38,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,4.086953163146973 +1981,36,1,homicide,15-17 yrs,96,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,10.324934005737305 +1981,36,1,other external,15-17 yrs,83,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,8.926766395568848 +1981,36,1,internal,15-17 yrs,188,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,20.219663619995117 +1981,36,1,all,18-20 yrs,999,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,103.99392700195312 +1981,36,1,MVA,18-20 yrs,327,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,34.04005432128906 +1981,36,1,suicide,18-20 yrs,81,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,8.431940078735352 +1981,36,1,homicide,18-20 yrs,195,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,20.299116134643555 +1981,36,1,other external,18-20 yrs,132,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,13.740939140319824 +1981,36,1,internal,18-20 yrs,264,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,27.48187828063965 +1981,36,1,all,21-24 yrs,1444,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,117.99178314208984 +1981,36,1,MVA,21-24 yrs,345,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,28.1905574798584 +1981,36,1,suicide,21-24 yrs,150,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,12.25676441192627 +1981,36,1,homicide,21-24 yrs,320,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,26.147764205932617 +1981,36,1,other external,21-24 yrs,184,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,15.034964561462402 +1981,36,1,internal,21-24 yrs,445,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,36.36173629760742 +1982,36,0.9749115109443665,MVA,15-17 yrs,140,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,15.663599967956543 +1982,36,0.9749115109443665,suicide,15-17 yrs,37,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,4.139665603637695 +1982,36,0.9749115109443665,homicide,15-17 yrs,96,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,10.740754127502441 +1982,36,0.9749115109443665,other external,15-17 yrs,85,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,9.510042190551758 +1982,36,0.9749115109443665,internal,15-17 yrs,195,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,21.817155838012695 +1982,36,0.9749115109443665,all,18-20 yrs,920,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,95.83133697509766 +1982,36,0.9749115109443665,MVA,18-20 yrs,286,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,29.791046142578125 +1982,36,0.9749115109443665,suicide,18-20 yrs,81,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,8.437324523925781 +1982,36,0.9749115109443665,homicide,18-20 yrs,192,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,19.999584197998047 +1982,36,0.9749115109443665,other external,18-20 yrs,132,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,13.749713897705078 +1982,36,0.9749115109443665,internal,18-20 yrs,229,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,23.853670120239258 +1982,36,0.9749115109443665,all,21-24 yrs,1351,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,109.30933380126953 +1982,36,0.9749115109443665,MVA,21-24 yrs,296,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,23.949344635009766 +1982,36,0.9749115109443665,suicide,21-24 yrs,129,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,10.437382698059082 +1982,36,0.9749115109443665,homicide,21-24 yrs,256,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,20.71294593811035 +1982,36,0.9749115109443665,other external,21-24 yrs,198,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,16.02016830444336 +1982,36,0.9749115109443665,internal,21-24 yrs,472,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,38.18949508666992 +1983,36,0.6797694563865662,MVA,15-17 yrs,124,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,14.389357566833496 +1983,36,0.6797694563865662,suicide,15-17 yrs,38,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,4.409641742706299 +1983,36,0.6797694563865662,homicide,15-17 yrs,79,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,9.167412757873535 +1983,36,0.6797694563865662,other external,15-17 yrs,71,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,8.239068031311035 +1983,36,0.6797694563865662,internal,15-17 yrs,150,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,17.40648078918457 +1983,36,0.6797694563865662,all,18-20 yrs,894,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,93.457061767578125 +1983,36,0.6797694563865662,MVA,18-20 yrs,276,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,28.852516174316406 +1983,36,0.6797694563865662,suicide,18-20 yrs,63,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,6.58590030670166 +1983,36,0.6797694563865662,homicide,18-20 yrs,187,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,19.548625946044922 +1983,36,0.6797694563865662,other external,18-20 yrs,124,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,12.962724685668945 +1983,36,0.6797694563865662,internal,18-20 yrs,244,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,25.50729751586914 +1983,36,0.6797694563865662,all,21-24 yrs,1291,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,103.3111572265625 +1983,36,0.6797694563865662,MVA,21-24 yrs,249,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,19.926010131835938 +1983,36,0.6797694563865662,suicide,21-24 yrs,109,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,8.722630500793457 +1983,36,0.6797694563865662,homicide,21-24 yrs,285,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,22.8068790435791 +1983,36,0.6797694563865662,other external,21-24 yrs,195,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,15.604706764221191 +1983,36,0.6797694563865662,internal,21-24 yrs,453,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,36.25093460083008 +1984,36,0.6858195066452026,MVA,15-17 yrs,121,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,14.367441177368164 +1984,36,0.6858195066452026,suicide,15-17 yrs,34,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,4.037132263183594 +1984,36,0.6858195066452026,homicide,15-17 yrs,70,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.311742782592773 +1984,36,0.6858195066452026,other external,15-17 yrs,70,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.311742782592773 +1984,36,0.6858195066452026,internal,15-17 yrs,170,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,20.18566131591797 +1984,36,0.6858195066452026,all,18-20 yrs,824,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,87.8922119140625 +1984,36,0.6858195066452026,MVA,18-20 yrs,243,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,25.919668197631836 +1984,36,0.6858195066452026,suicide,18-20 yrs,81,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.63988971710205 +1984,36,0.6858195066452026,homicide,18-20 yrs,175,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,18.666427612304688 +1984,36,0.6858195066452026,other external,18-20 yrs,100,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,10.66653060913086 +1984,36,0.6858195066452026,internal,18-20 yrs,225,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,23.999692916870117 +1984,36,0.6858195066452026,all,21-24 yrs,1326,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,105.51402282714844 +1984,36,0.6858195066452026,MVA,21-24 yrs,249,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,19.813718795776367 +1984,36,0.6858195066452026,suicide,21-24 yrs,137,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,10.901524543762207 +1984,36,0.6858195066452026,homicide,21-24 yrs,257,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,20.45030403137207 +1984,36,0.6858195066452026,other external,21-24 yrs,218,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,17.34695053100586 +1984,36,0.6858195066452026,internal,21-24 yrs,465,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,37.001522064208984 +1985,36,0.628068208694458,MVA,15-17 yrs,127,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,15.183940887451172 +1985,36,0.628068208694458,suicide,15-17 yrs,21,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,2.510730266571045 +1985,36,0.628068208694458,homicide,15-17 yrs,75,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,8.966894149780273 +1985,36,0.628068208694458,other external,15-17 yrs,59,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,7.053956985473633 +1985,36,0.628068208694458,internal,15-17 yrs,143,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,17.096878051757812 +1985,36,0.628068208694458,all,18-20 yrs,756,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,83.48249816894531 +1985,36,0.628068208694458,MVA,18-20 yrs,216,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,23.852142333984375 +1985,36,0.628068208694458,suicide,18-20 yrs,72,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,7.950714588165283 +1985,36,0.628068208694458,homicide,18-20 yrs,140,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,15.459722518920898 +1985,36,0.628068208694458,other external,18-20 yrs,98,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,10.821805953979492 +1985,36,0.628068208694458,internal,18-20 yrs,230,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,25.398115158081055 +1985,36,0.628068208694458,all,21-24 yrs,1284,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,101.680419921875 +1985,36,0.628068208694458,MVA,21-24 yrs,271,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,21.460586547851562 +1985,36,0.628068208694458,suicide,21-24 yrs,120,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,9.502842903137207 +1985,36,0.628068208694458,homicide,21-24 yrs,261,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,20.668684005737305 +1985,36,0.628068208694458,other external,21-24 yrs,183,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,14.491835594177246 +1985,36,0.628068208694458,internal,21-24 yrs,449,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,35.55646896362305 +1986,36,0,MVA,15-17 yrs,146,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,17.416366577148438 +1986,36,0,suicide,15-17 yrs,29,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,3.4594151973724365 +1986,36,0,homicide,15-17 yrs,46,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,5.4873480796813965 +1986,36,0,other external,15-17 yrs,61,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,7.276700496673584 +1986,36,0,internal,15-17 yrs,165,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,19.682878494262695 +1986,36,0,all,18-20 yrs,810,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,92.735382080078125 +1986,36,0,MVA,18-20 yrs,249,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,28.507543563842773 +1986,36,0,suicide,18-20 yrs,79,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,9.044562339782715 +1986,36,0,homicide,18-20 yrs,172,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,19.691957473754883 +1986,36,0,other external,18-20 yrs,96,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,10.990859985351562 +1986,36,0,internal,18-20 yrs,214,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,24.500459671020508 +1986,36,0,all,21-24 yrs,1421,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,113.37606048583984 +1986,36,0,MVA,21-24 yrs,261,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,20.824174880981445 +1986,36,0,suicide,21-24 yrs,114,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,9.095616340637207 +1986,36,0,homicide,21-24 yrs,315,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,25.13262367248535 +1986,36,0,other external,21-24 yrs,169,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,13.48385238647461 +1986,36,0,internal,21-24 yrs,562,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,44.83979415893555 +1987,36,0,MVA,15-17 yrs,158,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,19.55476951599121 +1987,36,0,suicide,15-17 yrs,30,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,3.712930917739868 +1987,36,0,homicide,15-17 yrs,84,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,10.396206855773926 +1987,36,0,other external,15-17 yrs,61,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,7.549626350402832 +1987,36,0,internal,15-17 yrs,132,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,16.336896896362305 +1987,36,0,all,18-20 yrs,816,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,95.49488830566406 +1987,36,0,MVA,18-20 yrs,243,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,28.437816619873047 +1987,36,0,suicide,18-20 yrs,60,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,7.0216827392578125 +1987,36,0,homicide,18-20 yrs,219,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.62914276123047 +1987,36,0,other external,18-20 yrs,84,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,9.83035659790039 +1987,36,0,internal,18-20 yrs,210,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,24.575889587402344 +1987,36,0,all,21-24 yrs,1405,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,114.28850555419922 +1987,36,0,MVA,21-24 yrs,312,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.37936782836914 +1987,36,0,suicide,21-24 yrs,106,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,8.622477531433105 +1987,36,0,homicide,21-24 yrs,319,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.94877815246582 +1987,36,0,other external,21-24 yrs,144,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,11.713554382324219 +1987,36,0,internal,21-24 yrs,524,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,42.624324798583984 +1988,36,0,MVA,15-17 yrs,137,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,18.003314971923828 +1988,36,0,suicide,15-17 yrs,29,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,3.810920476913452 +1988,36,0,homicide,15-17 yrs,114,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,14.980859756469727 +1988,36,0,other external,15-17 yrs,65,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,8.541718482971191 +1988,36,0,internal,15-17 yrs,128,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,16.820613861083984 +1988,36,0,all,18-20 yrs,836,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,97.819305419921875 +1988,36,0,MVA,18-20 yrs,225,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,26.326967239379883 +1988,36,0,suicide,18-20 yrs,57,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,6.669498443603516 +1988,36,0,homicide,18-20 yrs,238,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,27.848079681396484 +1988,36,0,other external,18-20 yrs,107,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,12.519935607910156 +1988,36,0,internal,18-20 yrs,209,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,24.45482635498047 +1988,36,0,all,21-24 yrs,1411,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,117.43526458740234 +1988,36,0,MVA,21-24 yrs,280,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,23.303951263427734 +1988,36,0,suicide,21-24 yrs,85,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,7.074413776397705 +1988,36,0,homicide,21-24 yrs,365,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,30.37836456298828 +1988,36,0,other external,21-24 yrs,172,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,14.31528377532959 +1988,36,0,internal,21-24 yrs,509,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,42.36325454711914 +1989,36,0,MVA,15-17 yrs,110,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,15.56695556640625 +1989,36,0,suicide,15-17 yrs,38,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,5.377675533294678 +1989,36,0,homicide,15-17 yrs,119,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,16.84061622619629 +1989,36,0,other external,15-17 yrs,41,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,5.802228927612305 +1989,36,0,internal,15-17 yrs,115,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,16.27454376220703 +1989,36,0,all,18-20 yrs,750,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,87.029876708984375 +1989,36,0,MVA,18-20 yrs,193,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,22.395689010620117 +1989,36,0,suicide,18-20 yrs,59,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,6.84635066986084 +1989,36,0,homicide,18-20 yrs,238,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,27.617481231689453 +1989,36,0,other external,18-20 yrs,53,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,6.150111675262451 +1989,36,0,internal,18-20 yrs,207,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,24.020246505737305 +1989,36,0,all,21-24 yrs,1307,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,112.74258422851562 +1989,36,0,MVA,21-24 yrs,242,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,20.87506103515625 +1989,36,0,suicide,21-24 yrs,136,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,11.731439590454102 +1989,36,0,homicide,21-24 yrs,346,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,29.846162796020508 +1989,36,0,other external,21-24 yrs,119,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,10.265009880065918 +1989,36,0,internal,21-24 yrs,464,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,40.0249137878418 +1990,36,0,MVA,15-17 yrs,105,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,15.362848281860352 +1990,36,0,suicide,15-17 yrs,32,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,4.682011127471924 +1990,36,0,homicide,15-17 yrs,143,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,20.92273712158203 +1990,36,0,other external,15-17 yrs,36,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,5.2672624588012695 +1990,36,0,internal,15-17 yrs,112,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,16.387039184570312 +1990,36,0,all,18-20 yrs,844,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,100.70265197753906 +1990,36,0,MVA,18-20 yrs,230,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,27.442665100097656 +1990,36,0,suicide,18-20 yrs,74,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,8.829379081726074 +1990,36,0,homicide,18-20 yrs,284,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,33.88572692871094 +1990,36,0,other external,18-20 yrs,53,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,6.323744773864746 +1990,36,0,internal,18-20 yrs,203,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,24.22113609313965 +1990,36,0,all,21-24 yrs,1259,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,111.8546371459961 +1990,36,0,MVA,21-24 yrs,226,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,20.078750610351562 +1990,36,0,suicide,21-24 yrs,119,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,10.572440147399902 +1990,36,0,homicide,21-24 yrs,411,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,36.514896392822266 +1990,36,0,other external,21-24 yrs,92,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,8.173650741577148 +1990,36,0,internal,21-24 yrs,411,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,36.514896392822266 +1991,36,0,MVA,15-17 yrs,100,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,14.798174858093262 +1991,36,0,suicide,15-17 yrs,28,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,4.143488883972168 +1991,36,0,homicide,15-17 yrs,147,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,21.75331687927246 +1991,36,0,other external,15-17 yrs,43,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,6.363215446472168 +1991,36,0,internal,15-17 yrs,111,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,16.425973892211914 +1991,36,0,all,18-20 yrs,769,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,98.6929931640625 +1991,36,0,MVA,18-20 yrs,176,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,22.587732315063477 +1991,36,0,suicide,18-20 yrs,73,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,9.368775367736816 +1991,36,0,homicide,18-20 yrs,289,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,37.090084075927734 +1991,36,0,other external,18-20 yrs,64,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,8.21372127532959 +1991,36,0,internal,18-20 yrs,167,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,21.43267822265625 +1991,36,0,all,21-24 yrs,1236,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,111.93502807617188 +1991,36,0,MVA,21-24 yrs,251,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,22.731142044067383 +1991,36,0,suicide,21-24 yrs,113,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,10.233542442321777 +1991,36,0,homicide,21-24 yrs,409,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,37.03998947143555 +1991,36,0,other external,21-24 yrs,112,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,10.142979621887207 +1991,36,0,internal,21-24 yrs,351,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,31.78737449645996 +1992,36,0,MVA,15-17 yrs,99,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,14.465986251831055 +1992,36,0,suicide,15-17 yrs,44,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,6.429327011108398 +1992,36,0,homicide,15-17 yrs,145,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,21.18755531311035 +1992,36,0,other external,15-17 yrs,32,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,4.67587423324585 +1992,36,0,internal,15-17 yrs,83,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,12.12804889678955 +1992,36,0,all,18-20 yrs,647,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,89.861114501953125 +1992,36,0,MVA,18-20 yrs,129,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,17.91666603088379 +1992,36,0,suicide,18-20 yrs,72,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,10 +1992,36,0,homicide,18-20 yrs,251,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,34.86111068725586 +1992,36,0,other external,18-20 yrs,45,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,6.25 +1992,36,0,internal,18-20 yrs,150,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,20.83333396911621 +1992,36,0,all,21-24 yrs,1212,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,110.65380859375 +1992,36,0,MVA,21-24 yrs,201,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,18.351001739501953 +1992,36,0,suicide,21-24 yrs,124,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,11.321016311645508 +1992,36,0,homicide,21-24 yrs,404,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,36.88460159301758 +1992,36,0,other external,21-24 yrs,109,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,9.951539039611816 +1992,36,0,internal,21-24 yrs,374,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,34.14564514160156 +1993,36,0,MVA,15-17 yrs,83,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,12.074536323547363 +1993,36,0,suicide,15-17 yrs,27,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,3.927861213684082 +1993,36,0,homicide,15-17 yrs,136,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,19.78478240966797 +1993,36,0,other external,15-17 yrs,42,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,6.110006332397461 +1993,36,0,internal,15-17 yrs,99,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,14.4021577835083 +1993,36,0,all,18-20 yrs,664,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,95.14570617675781 +1993,36,0,MVA,18-20 yrs,116,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,16.62183952331543 +1993,36,0,suicide,18-20 yrs,68,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,9.743837356567383 +1993,36,0,homicide,18-20 yrs,266,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,38.1156005859375 +1993,36,0,other external,18-20 yrs,52,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,7.451169967651367 +1993,36,0,internal,18-20 yrs,162,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,23.213258743286133 +1993,36,0,all,21-24 yrs,1178,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,110.25843048095703 +1993,36,0,MVA,21-24 yrs,206,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,19.281187057495117 +1993,36,0,suicide,21-24 yrs,97,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,9.079005241394043 +1993,36,0,homicide,21-24 yrs,382,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,35.754432678222656 +1993,36,0,other external,21-24 yrs,126,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,11.793346405029297 +1993,36,0,internal,21-24 yrs,367,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,34.3504638671875 +1994,36,0,MVA,15-17 yrs,88,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,12.63833999633789 +1994,36,0,suicide,15-17 yrs,42,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,6.03193473815918 +1994,36,0,homicide,15-17 yrs,110,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,15.797924041748047 +1994,36,0,other external,15-17 yrs,35,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,5.026612281799316 +1994,36,0,internal,15-17 yrs,118,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,16.94686508178711 +1994,36,0,all,18-20 yrs,657,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,95.50959777832031 +1994,36,0,MVA,18-20 yrs,147,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,21.369726181030273 +1994,36,0,suicide,18-20 yrs,74,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,10.757549285888672 +1994,36,0,homicide,18-20 yrs,230,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,33.43562698364258 +1994,36,0,other external,18-20 yrs,57,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,8.28622055053711 +1994,36,0,internal,18-20 yrs,149,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,21.660470962524414 +1994,36,0,all,21-24 yrs,1020,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,100.1866226196289 +1994,36,0,MVA,21-24 yrs,176,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,17.2871036529541 +1994,36,0,suicide,21-24 yrs,125,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,12.277771949768066 +1994,36,0,homicide,21-24 yrs,301,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,29.564876556396484 +1994,36,0,other external,21-24 yrs,86,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,8.447107315063477 +1994,36,0,internal,21-24 yrs,332,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,32.609764099121094 +1995,36,0,MVA,15-17 yrs,74,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.546733856201172 +1995,36,0,suicide,15-17 yrs,36,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,5.130843639373779 +1995,36,0,homicide,15-17 yrs,85,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,12.11449146270752 +1995,36,0,other external,15-17 yrs,39,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,5.558413982391357 +1995,36,0,internal,15-17 yrs,107,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,15.250007629394531 +1995,36,0,all,18-20 yrs,575,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,82.91850280761719 +1995,36,0,MVA,18-20 yrs,136,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,19.612028121948242 +1995,36,0,suicide,18-20 yrs,56,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,8.075540542602539 +1995,36,0,homicide,18-20 yrs,167,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,24.082416534423828 +1995,36,0,other external,18-20 yrs,64,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,9.2291898727417 +1995,36,0,internal,18-20 yrs,152,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,21.91932487487793 +1995,36,0,all,21-24 yrs,902,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,94.35501861572266 +1995,36,0,MVA,21-24 yrs,155,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,16.213998794555664 +1995,36,0,suicide,21-24 yrs,104,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.879071235656738 +1995,36,0,homicide,21-24 yrs,228,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,23.850271224975586 +1995,36,0,other external,21-24 yrs,96,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.042219161987305 +1995,36,0,internal,21-24 yrs,319,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,33.36945724487305 +1996,36,0,MVA,15-17 yrs,84,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.920625686645508 +1996,36,0,suicide,15-17 yrs,37,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,5.250751972198486 +1996,36,0,homicide,15-17 yrs,80,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.35297679901123 +1996,36,0,other external,15-17 yrs,47,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,6.6698737144470215 +1996,36,0,internal,15-17 yrs,98,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,13.90739631652832 +1996,36,0,all,18-20 yrs,524,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,75.26680755615234 +1996,36,0,MVA,18-20 yrs,122,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,17.52395248413086 +1996,36,0,suicide,18-20 yrs,47,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,6.751030445098877 +1996,36,0,homicide,18-20 yrs,157,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,22.551315307617188 +1996,36,0,other external,18-20 yrs,58,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,8.331059455871582 +1996,36,0,internal,18-20 yrs,140,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,20.109453201293945 +1996,36,0,all,21-24 yrs,782,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,86.3120346069336 +1996,36,0,MVA,21-24 yrs,153,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,16.88713836669922 +1996,36,0,suicide,21-24 yrs,81,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,8.9402494430542 +1996,36,0,homicide,21-24 yrs,180,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,19.867219924926758 +1996,36,0,other external,21-24 yrs,101,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.14771842956543 +1996,36,0,internal,21-24 yrs,267,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,29.469711303710938 +1970,37,1,MVA,15-17 yrs,142,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,46.28860092163086 +1970,37,1,suicide,15-17 yrs,10,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,3.259760618209839 +1970,37,1,homicide,15-17 yrs,22,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,7.171473026275635 +1970,37,1,other external,15-17 yrs,75,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,24.448204040527344 +1970,37,1,internal,15-17 yrs,92,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,29.989797592163086 +1970,37,1,all,18-20 yrs,472,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,147.7322235107422 +1970,37,1,MVA,18-20 yrs,214,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,66.98028564453125 +1970,37,1,suicide,18-20 yrs,22,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,6.885823726654053 +1970,37,1,homicide,18-20 yrs,38,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,11.893695831298828 +1970,37,1,other external,18-20 yrs,83,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,25.978334426879883 +1970,37,1,internal,18-20 yrs,115,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,35.99407958984375 +1970,37,1,all,21-24 yrs,583,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,162.74642944335938 +1970,37,1,MVA,21-24 yrs,215,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,60.01797866821289 +1970,37,1,suicide,21-24 yrs,24,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,6.699681282043457 +1970,37,1,homicide,21-24 yrs,79,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,22.053117752075195 +1970,37,1,other external,21-24 yrs,117,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,32.660945892333984 +1970,37,1,internal,21-24 yrs,148,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,41.314701080322266 +1971,37,1,MVA,15-17 yrs,147,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,46.77789306640625 +1971,37,1,suicide,15-17 yrs,12,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,3.818603515625 +1971,37,1,homicide,15-17 yrs,23,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,7.318990230560303 +1971,37,1,other external,15-17 yrs,70,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,22.275188446044922 +1971,37,1,internal,15-17 yrs,77,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,24.50270652770996 +1971,37,1,all,18-20 yrs,503,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,154.1403350830078 +1971,37,1,MVA,18-20 yrs,235,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,72.01387786865234 +1971,37,1,suicide,18-20 yrs,25,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,7.661050796508789 +1971,37,1,homicide,18-20 yrs,46,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,14.096333503723145 +1971,37,1,other external,18-20 yrs,89,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,27.273340225219727 +1971,37,1,internal,18-20 yrs,108,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,33.09573745727539 +1971,37,1,all,21-24 yrs,628,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,160.7486572265625 +1971,37,1,MVA,21-24 yrs,262,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,67.063934326171875 +1971,37,1,suicide,21-24 yrs,33,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,8.446983337402344 +1971,37,1,homicide,21-24 yrs,94,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,24.061105728149414 +1971,37,1,other external,21-24 yrs,87,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,22.26932144165039 +1971,37,1,internal,21-24 yrs,152,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,38.907318115234375 +1972,37,1,MVA,15-17 yrs,154,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,48.06776809692383 +1972,37,1,suicide,15-17 yrs,14,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,4.369797229766846 +1972,37,1,homicide,15-17 yrs,24,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,7.4910807609558105 +1972,37,1,other external,15-17 yrs,94,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,29.34006690979004 +1972,37,1,internal,15-17 yrs,92,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,28.715810775756836 +1972,37,1,all,18-20 yrs,502,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,150.85902404785156 +1972,37,1,MVA,18-20 yrs,278,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,83.54344177246094 +1972,37,1,suicide,18-20 yrs,18,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,5.409287929534912 +1972,37,1,homicide,18-20 yrs,52,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,15.6268310546875 +1972,37,1,other external,18-20 yrs,86,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,25.844375610351562 +1972,37,1,internal,18-20 yrs,68,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,20.435087203979492 +1972,37,1,all,21-24 yrs,704,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,176.4915313720703 +1972,37,1,MVA,21-24 yrs,272,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,68.189910888671875 +1972,37,1,suicide,21-24 yrs,42,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,10.529324531555176 +1972,37,1,homicide,21-24 yrs,106,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,26.57400894165039 +1972,37,1,other external,21-24 yrs,100,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,25.0698184967041 +1972,37,1,internal,21-24 yrs,184,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,46.12846755981445 +1973,37,1,MVA,15-17 yrs,185,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,57.09506607055664 +1973,37,1,suicide,15-17 yrs,14,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,4.32070779800415 +1973,37,1,homicide,15-17 yrs,27,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,8.332793235778809 +1973,37,1,other external,15-17 yrs,85,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,26.232868194580078 +1973,37,1,internal,15-17 yrs,90,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,27.775978088378906 +1973,37,1,all,18-20 yrs,525,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,154.43765258789062 +1973,37,1,MVA,18-20 yrs,243,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,71.482574462890625 +1973,37,1,suicide,18-20 yrs,40,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,11.766678810119629 +1973,37,1,homicide,18-20 yrs,58,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,17.061683654785156 +1973,37,1,other external,18-20 yrs,94,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,27.651695251464844 +1973,37,1,internal,18-20 yrs,90,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,26.475027084350586 +1973,37,1,all,21-24 yrs,634,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,154.26504516601562 +1973,37,1,MVA,21-24 yrs,233,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,56.69361877441406 +1973,37,1,suicide,21-24 yrs,46,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,11.192731857299805 +1973,37,1,homicide,21-24 yrs,104,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,25.30530548095703 +1973,37,1,other external,21-24 yrs,102,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,24.818666458129883 +1973,37,1,internal,21-24 yrs,149,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,36.25471878051758 +1974,37,1,MVA,15-17 yrs,145,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,44.36543655395508 +1974,37,1,suicide,15-17 yrs,18,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,5.5074334144592285 +1974,37,1,homicide,15-17 yrs,23,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,7.037276268005371 +1974,37,1,other external,15-17 yrs,88,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,26.925230026245117 +1974,37,1,internal,15-17 yrs,65,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,19.887954711914062 +1974,37,1,all,18-20 yrs,479,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,137.714111328125 +1974,37,1,MVA,18-20 yrs,211,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,60.663211822509766 +1974,37,1,suicide,18-20 yrs,26,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,7.475087642669678 +1974,37,1,homicide,18-20 yrs,56,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,16.100189208984375 +1974,37,1,other external,18-20 yrs,84,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,24.150283813476562 +1974,37,1,internal,18-20 yrs,102,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,29.32534408569336 +1974,37,1,all,21-24 yrs,590,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,141.0063018798828 +1974,37,1,MVA,21-24 yrs,200,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,47.79874801635742 +1974,37,1,suicide,21-24 yrs,50,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,11.949687004089355 +1974,37,1,homicide,21-24 yrs,90,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,21.509437561035156 +1974,37,1,other external,21-24 yrs,108,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,25.811323165893555 +1974,37,1,internal,21-24 yrs,142,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,33.937110900878906 +1975,37,1,MVA,15-17 yrs,120,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,36.69881820678711 +1975,37,1,suicide,15-17 yrs,22,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,6.728116989135742 +1975,37,1,homicide,15-17 yrs,26,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,7.95141077041626 +1975,37,1,other external,15-17 yrs,76,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,23.242586135864258 +1975,37,1,internal,15-17 yrs,72,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,22.019290924072266 +1975,37,1,all,18-20 yrs,476,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,133.85487365722656 +1975,37,1,MVA,18-20 yrs,207,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,58.209999084472656 +1975,37,1,suicide,18-20 yrs,50,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,14.060386657714844 +1975,37,1,homicide,18-20 yrs,41,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,11.52951717376709 +1975,37,1,other external,18-20 yrs,79,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,22.215410232543945 +1975,37,1,internal,18-20 yrs,99,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,27.83956527709961 +1975,37,1,all,21-24 yrs,585,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,136.89173889160156 +1975,37,1,MVA,21-24 yrs,186,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,43.52455139160156 +1975,37,1,suicide,21-24 yrs,52,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,12.1681547164917 +1975,37,1,homicide,21-24 yrs,115,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,26.910341262817383 +1975,37,1,other external,21-24 yrs,88,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,20.592262268066406 +1975,37,1,internal,21-24 yrs,144,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,33.69642639160156 +1976,37,1,MVA,15-17 yrs,149,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,45.424888610839844 +1976,37,1,suicide,15-17 yrs,19,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,5.792435646057129 +1976,37,1,homicide,15-17 yrs,13,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,3.963245391845703 +1976,37,1,other external,15-17 yrs,49,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,14.938386917114258 +1976,37,1,internal,15-17 yrs,58,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,17.682172775268555 +1976,37,1,all,18-20 yrs,503,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,140.03028869628906 +1976,37,1,MVA,18-20 yrs,229,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,63.751365661621094 +1976,37,1,suicide,18-20 yrs,40,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,11.13560962677002 +1976,37,1,homicide,18-20 yrs,60,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,16.703414916992188 +1976,37,1,other external,18-20 yrs,73,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,20.322486877441406 +1976,37,1,internal,18-20 yrs,101,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,28.117414474487305 +1976,37,1,all,21-24 yrs,581,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,134.616943359375 +1976,37,1,MVA,21-24 yrs,190,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,44.02275466918945 +1976,37,1,suicide,21-24 yrs,56,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,12.975127220153809 +1976,37,1,homicide,21-24 yrs,83,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,19.23099136352539 +1976,37,1,other external,21-24 yrs,112,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,25.950254440307617 +1976,37,1,internal,21-24 yrs,140,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,32.43781661987305 +1977,37,1,MVA,15-17 yrs,118,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,35.79336929321289 +1977,37,1,suicide,15-17 yrs,17,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,5.15667200088501 +1977,37,1,homicide,15-17 yrs,17,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,5.15667200088501 +1977,37,1,other external,15-17 yrs,55,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,16.683349609375 +1977,37,1,internal,15-17 yrs,71,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,21.53668785095215 +1977,37,1,all,18-20 yrs,454,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,125.47675323486328 +1977,37,1,MVA,18-20 yrs,197,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,54.446964263916016 +1977,37,1,suicide,18-20 yrs,47,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,12.989884376525879 +1977,37,1,homicide,18-20 yrs,44,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,12.16074275970459 +1977,37,1,other external,18-20 yrs,91,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,25.15062713623047 +1977,37,1,internal,18-20 yrs,75,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,20.728538513183594 +1977,37,1,all,21-24 yrs,591,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,134.9644775390625 +1977,37,1,MVA,21-24 yrs,209,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,47.728553771972656 +1977,37,1,suicide,21-24 yrs,66,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,15.072175025939941 +1977,37,1,homicide,21-24 yrs,87,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,19.86786651611328 +1977,37,1,other external,21-24 yrs,85,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,19.411134719848633 +1977,37,1,internal,21-24 yrs,144,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,32.88474655151367 +1978,37,1,MVA,15-17 yrs,131,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,39.77157211303711 +1978,37,1,suicide,15-17 yrs,16,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,4.857596397399902 +1978,37,1,homicide,15-17 yrs,9,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,2.73239803314209 +1978,37,1,other external,15-17 yrs,68,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,20.644784927368164 +1978,37,1,internal,15-17 yrs,60,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,18.215986251831055 +1978,37,1,all,18-20 yrs,468,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,128.69447326660156 +1978,37,1,MVA,18-20 yrs,233,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,64.0722427368164 +1978,37,1,suicide,18-20 yrs,31,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,8.524633407592773 +1978,37,1,homicide,18-20 yrs,45,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,12.374467849731445 +1978,37,1,other external,18-20 yrs,80,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,21.999053955078125 +1978,37,1,internal,18-20 yrs,79,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,21.72406578063965 +1978,37,1,all,21-24 yrs,564,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,126.2728042602539 +1978,37,1,MVA,21-24 yrs,194,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,43.434261322021484 +1978,37,1,suicide,21-24 yrs,55,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,12.313837051391602 +1978,37,1,homicide,21-24 yrs,107,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,23.956010818481445 +1978,37,1,other external,21-24 yrs,86,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,19.254364013671875 +1978,37,1,internal,21-24 yrs,122,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,27.314329147338867 +1979,37,1,MVA,15-17 yrs,124,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,37.81340789794922 +1979,37,1,suicide,15-17 yrs,22,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,6.708830833435059 +1979,37,1,homicide,15-17 yrs,14,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,4.269255638122559 +1979,37,1,other external,15-17 yrs,57,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,17.381969451904297 +1979,37,1,internal,15-17 yrs,59,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,17.991863250732422 +1979,37,1,all,18-20 yrs,442,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,121.24171447753906 +1979,37,1,MVA,18-20 yrs,211,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,57.877830505371094 +1979,37,1,suicide,18-20 yrs,36,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,9.874890327453613 +1979,37,1,homicide,18-20 yrs,48,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,13.166521072387695 +1979,37,1,other external,18-20 yrs,76,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,20.84699058532715 +1979,37,1,internal,18-20 yrs,71,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,19.475479125976562 +1979,37,1,all,21-24 yrs,586,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,130.49742126464844 +1979,37,1,MVA,21-24 yrs,230,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,51.2191276550293 +1979,37,1,suicide,21-24 yrs,61,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,13.584202766418457 +1979,37,1,homicide,21-24 yrs,72,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,16.0338134765625 +1979,37,1,other external,21-24 yrs,93,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,20.710342407226562 +1979,37,1,internal,21-24 yrs,130,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,28.949941635131836 +1980,37,1,MVA,15-17 yrs,135,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,41.933929443359375 +1980,37,1,suicide,15-17 yrs,23,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,7.144299507141113 +1980,37,1,homicide,15-17 yrs,12,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,3.7274606227874756 +1980,37,1,other external,15-17 yrs,49,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,15.220463752746582 +1980,37,1,internal,15-17 yrs,75,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,23.296628952026367 +1980,37,1,all,18-20 yrs,477,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,130.1934051513672 +1980,37,1,MVA,18-20 yrs,225,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,61.411983489990234 +1980,37,1,suicide,18-20 yrs,48,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,13.10122299194336 +1980,37,1,homicide,18-20 yrs,47,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,12.82828140258789 +1980,37,1,other external,18-20 yrs,77,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,21.01654624938965 +1980,37,1,internal,18-20 yrs,80,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,21.835372924804688 +1980,37,1,all,21-24 yrs,606,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,132.0238494873047 +1980,37,1,MVA,21-24 yrs,223,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,48.583030700683594 +1980,37,1,suicide,21-24 yrs,61,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,13.289528846740723 +1980,37,1,homicide,21-24 yrs,83,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,18.082473754882812 +1980,37,1,other external,21-24 yrs,109,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,23.746862411499023 +1980,37,1,internal,21-24 yrs,130,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,28.32194709777832 +1981,37,1,MVA,15-17 yrs,117,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,37.646484375 +1981,37,1,suicide,15-17 yrs,22,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,7.078825950622559 +1981,37,1,homicide,15-17 yrs,16,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,5.148237228393555 +1981,37,1,other external,15-17 yrs,39,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,12.548828125 +1981,37,1,internal,15-17 yrs,63,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,20.271183013916016 +1981,37,1,all,18-20 yrs,432,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,120.23278045654297 +1981,37,1,MVA,18-20 yrs,206,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,57.33322525024414 +1981,37,1,suicide,18-20 yrs,40,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,11.132665634155273 +1981,37,1,homicide,18-20 yrs,36,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,10.01939868927002 +1981,37,1,other external,18-20 yrs,59,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,16.42068099975586 +1981,37,1,internal,18-20 yrs,91,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,25.326812744140625 +1981,37,1,all,21-24 yrs,550,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,115.96012115478516 +1981,37,1,MVA,21-24 yrs,235,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,49.54659652709961 +1981,37,1,suicide,21-24 yrs,62,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,13.071867942810059 +1981,37,1,homicide,21-24 yrs,84,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,17.71027183532715 +1981,37,1,other external,21-24 yrs,66,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,13.915214538574219 +1981,37,1,internal,21-24 yrs,103,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,21.716167449951172 +1982,37,1,MVA,15-17 yrs,100,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,33.366031646728516 +1982,37,1,suicide,15-17 yrs,29,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,9.676149368286133 +1982,37,1,homicide,15-17 yrs,24,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,8.007847785949707 +1982,37,1,other external,15-17 yrs,29,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,9.676149368286133 +1982,37,1,internal,15-17 yrs,48,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,16.015695571899414 +1982,37,1,all,18-20 yrs,381,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,109.03596496582031 +1982,37,1,MVA,18-20 yrs,173,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,49.509765625 +1982,37,1,suicide,18-20 yrs,45,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,12.878263473510742 +1982,37,1,homicide,18-20 yrs,39,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,11.161161422729492 +1982,37,1,other external,18-20 yrs,48,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,13.736814498901367 +1982,37,1,internal,18-20 yrs,76,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,21.749956130981445 +1982,37,1,all,21-24 yrs,501,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,103.27256774902344 +1982,37,1,MVA,21-24 yrs,185,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,38.134578704833984 +1982,37,1,suicide,21-24 yrs,74,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,15.25383186340332 +1982,37,1,homicide,21-24 yrs,66,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,13.604768753051758 +1982,37,1,other external,21-24 yrs,74,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,15.25383186340332 +1982,37,1,internal,21-24 yrs,102,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,21.02555274963379 +1983,37,0.9221815466880798,MVA,15-17 yrs,111,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,38.07237243652344 +1983,37,0.9221815466880798,suicide,15-17 yrs,11,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,3.772937774658203 +1983,37,0.9221815466880798,homicide,15-17 yrs,6,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,2.0579659938812256 +1983,37,0.9221815466880798,other external,15-17 yrs,48,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,16.463727951049805 +1983,37,0.9221815466880798,internal,15-17 yrs,46,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,15.777739524841309 +1983,37,0.9221815466880798,all,18-20 yrs,320,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,93.32221221923828 +1983,37,0.9221815466880798,MVA,18-20 yrs,160,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,46.66110610961914 +1983,37,0.9221815466880798,suicide,18-20 yrs,26,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,7.582429885864258 +1983,37,0.9221815466880798,homicide,18-20 yrs,39,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.373644828796387 +1983,37,0.9221815466880798,other external,18-20 yrs,38,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.082013130187988 +1983,37,0.9221815466880798,internal,18-20 yrs,57,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,16.623018264770508 +1983,37,0.9221815466880798,all,21-24 yrs,484,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,98.9862060546875 +1983,37,0.9221815466880798,MVA,21-24 yrs,176,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,35.9949836730957 +1983,37,0.9221815466880798,suicide,21-24 yrs,74,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,15.134255409240723 +1983,37,0.9221815466880798,homicide,21-24 yrs,56,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.452949523925781 +1983,37,0.9221815466880798,other external,21-24 yrs,73,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,14.92973804473877 +1983,37,0.9221815466880798,internal,21-24 yrs,105,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,21.474281311035156 +1984,37,0.6991451978683472,MVA,15-17 yrs,101,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,34.618797302246094 +1984,37,0.6991451978683472,suicide,15-17 yrs,22,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,7.540728569030762 +1984,37,0.6991451978683472,homicide,15-17 yrs,12,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,4.113124847412109 +1984,37,0.6991451978683472,other external,15-17 yrs,39,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,13.367654800415039 +1984,37,0.6991451978683472,internal,15-17 yrs,50,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,17.138019561767578 +1984,37,0.6991451978683472,all,18-20 yrs,316,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,93.82506561279297 +1984,37,0.6991451978683472,MVA,18-20 yrs,147,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,43.64646911621094 +1984,37,0.6991451978683472,suicide,18-20 yrs,44,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,13.064249038696289 +1984,37,0.6991451978683472,homicide,18-20 yrs,23,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,6.829039573669434 +1984,37,0.6991451978683472,other external,18-20 yrs,39,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,11.579675674438477 +1984,37,0.6991451978683472,internal,18-20 yrs,63,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,18.705629348754883 +1984,37,0.6991451978683472,all,21-24 yrs,551,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,113.25028228759766 +1984,37,0.6991451978683472,MVA,21-24 yrs,222,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,45.628971099853516 +1984,37,0.6991451978683472,suicide,21-24 yrs,63,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,12.948761940002441 +1984,37,0.6991451978683472,homicide,21-24 yrs,71,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,14.593049049377441 +1984,37,0.6991451978683472,other external,21-24 yrs,86,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,17.676088333129883 +1984,37,0.6991451978683472,internal,21-24 yrs,109,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,22.403413772583008 +1985,37,0.6938849091529846,MVA,15-17 yrs,104,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,35.11674499511719 +1985,37,0.6938849091529846,suicide,15-17 yrs,28,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,9.454508781433105 +1985,37,0.6938849091529846,homicide,15-17 yrs,14,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,4.727254390716553 +1985,37,0.6938849091529846,other external,15-17 yrs,32,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,10.805152893066406 +1985,37,0.6938849091529846,internal,15-17 yrs,45,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,15.194746017456055 +1985,37,0.6938849091529846,all,18-20 yrs,380,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,115.05354309082031 +1985,37,0.6938849091529846,MVA,18-20 yrs,178,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,53.89350128173828 +1985,37,0.6938849091529846,suicide,18-20 yrs,36,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,10.899809837341309 +1985,37,0.6938849091529846,homicide,18-20 yrs,30,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,9.083174705505371 +1985,37,0.6938849091529846,other external,18-20 yrs,64,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,19.377439498901367 +1985,37,0.6938849091529846,internal,18-20 yrs,72,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,21.799619674682617 +1985,37,0.6938849091529846,all,21-24 yrs,567,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,117.49687957763672 +1985,37,0.6938849091529846,MVA,21-24 yrs,247,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,51.18470764160156 +1985,37,0.6938849091529846,suicide,21-24 yrs,64,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,13.262434959411621 +1985,37,0.6938849091529846,homicide,21-24 yrs,69,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,14.298562049865723 +1985,37,0.6938849091529846,other external,21-24 yrs,85,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,17.61417007446289 +1985,37,0.6938849091529846,internal,21-24 yrs,102,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,21.137004852294922 +1986,37,0.45934799313545227,MVA,15-17 yrs,121,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,39.7860107421875 +1986,37,0.45934799313545227,suicide,15-17 yrs,23,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,7.5626301765441895 +1986,37,0.45934799313545227,homicide,15-17 yrs,10,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,3.288100004196167 +1986,37,0.45934799313545227,other external,15-17 yrs,27,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,8.877870559692383 +1986,37,0.45934799313545227,internal,15-17 yrs,57,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,18.742170333862305 +1986,37,0.45934799313545227,all,18-20 yrs,369,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,114.02014923095703 +1986,37,0.45934799313545227,MVA,18-20 yrs,181,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,55.928585052490234 +1986,37,0.45934799313545227,suicide,18-20 yrs,43,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,13.286901473999023 +1986,37,0.45934799313545227,homicide,18-20 yrs,36,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,11.123917579650879 +1986,37,0.45934799313545227,other external,18-20 yrs,57,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,17.612869262695312 +1986,37,0.45934799313545227,internal,18-20 yrs,52,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,16.067880630493164 +1986,37,0.45934799313545227,all,21-24 yrs,567,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,121.03849792480469 +1986,37,0.45934799313545227,MVA,21-24 yrs,242,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,51.66017150878906 +1986,37,0.45934799313545227,suicide,21-24 yrs,51,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,10.887060165405273 +1986,37,0.45934799313545227,homicide,21-24 yrs,89,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,18.998987197875977 +1986,37,0.45934799313545227,other external,21-24 yrs,69,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,14.729552268981934 +1986,37,0.45934799313545227,internal,21-24 yrs,116,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,24.762725830078125 +1987,37,0,MVA,15-17 yrs,129,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,42.59028244018555 +1987,37,0,suicide,15-17 yrs,23,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,7.593616008758545 +1987,37,0,homicide,15-17 yrs,13,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,4.292043685913086 +1987,37,0,other external,15-17 yrs,21,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,6.9333014488220215 +1987,37,0,internal,15-17 yrs,46,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,15.18723201751709 +1987,37,0,all,18-20 yrs,337,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,103.14295196533203 +1987,37,0,MVA,18-20 yrs,166,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,50.80632019042969 +1987,37,0,suicide,18-20 yrs,34,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,10.406113624572754 +1987,37,0,homicide,18-20 yrs,42,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,12.85461139678955 +1987,37,0,other external,18-20 yrs,39,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,11.93642520904541 +1987,37,0,internal,18-20 yrs,56,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,17.139482498168945 +1987,37,0,all,21-24 yrs,529,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,115.9010009765625 +1987,37,0,MVA,21-24 yrs,230,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,50.39174270629883 +1987,37,0,suicide,21-24 yrs,65,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,14.241144180297852 +1987,37,0,homicide,21-24 yrs,72,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,15.774806022644043 +1987,37,0,other external,21-24 yrs,62,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,13.583860397338867 +1987,37,0,internal,21-24 yrs,100,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,21.909452438354492 +1988,37,0,MVA,15-17 yrs,102,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,34.69777297973633 +1988,37,0,suicide,15-17 yrs,17,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,5.782961845397949 +1988,37,0,homicide,15-17 yrs,14,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,4.762439250946045 +1988,37,0,other external,15-17 yrs,41,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,13.9471435546875 +1988,37,0,internal,15-17 yrs,43,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,14.62749195098877 +1988,37,0,all,18-20 yrs,327,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,97.96197509765625 +1988,37,0,MVA,18-20 yrs,180,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,53.92402267456055 +1988,37,0,suicide,18-20 yrs,29,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,8.6877593994140625 +1988,37,0,homicide,18-20 yrs,33,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,9.886070251464844 +1988,37,0,other external,18-20 yrs,31,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,9.286914825439453 +1988,37,0,internal,18-20 yrs,54,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,16.17720603942871 +1988,37,0,all,21-24 yrs,493,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,110.47742462158203 +1988,37,0,MVA,21-24 yrs,190,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,42.57750701904297 +1988,37,0,suicide,21-24 yrs,49,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,10.980515480041504 +1988,37,0,homicide,21-24 yrs,54,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,12.10097599029541 +1988,37,0,other external,21-24 yrs,76,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,17.031003952026367 +1988,37,0,internal,21-24 yrs,124,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,27.787425994873047 +1989,37,0,MVA,15-17 yrs,86,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,30.890249252319336 +1989,37,0,suicide,15-17 yrs,21,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,7.542967796325684 +1989,37,0,homicide,15-17 yrs,25,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,8.979723930358887 +1989,37,0,other external,15-17 yrs,25,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,8.979723930358887 +1989,37,0,internal,15-17 yrs,41,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,14.726746559143066 +1989,37,0,all,18-20 yrs,354,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,102.29883575439453 +1989,37,0,MVA,18-20 yrs,167,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,48.259620666503906 +1989,37,0,suicide,18-20 yrs,48,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,13.871027946472168 +1989,37,0,homicide,18-20 yrs,34,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,9.825311660766602 +1989,37,0,other external,18-20 yrs,36,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,10.403271675109863 +1989,37,0,internal,18-20 yrs,69,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,19.939603805541992 +1989,37,0,all,21-24 yrs,508,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,116.02597045898438 +1989,37,0,MVA,21-24 yrs,190,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,43.39554214477539 +1989,37,0,suicide,21-24 yrs,66,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,15.074240684509277 +1989,37,0,homicide,21-24 yrs,94,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,21.46937370300293 +1989,37,0,other external,21-24 yrs,50,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,11.419878959655762 +1989,37,0,internal,21-24 yrs,108,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,24.66693878173828 +1990,37,0,MVA,15-17 yrs,93,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,34.23636245727539 +1990,37,0,suicide,15-17 yrs,31,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.412120819091797 +1990,37,0,homicide,15-17 yrs,30,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.043988227844238 +1990,37,0,other external,15-17 yrs,22,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,8.09892463684082 +1990,37,0,internal,15-17 yrs,39,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,14.357184410095215 +1990,37,0,all,18-20 yrs,373,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,106.85198974609375 +1990,37,0,MVA,18-20 yrs,156,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,44.68877029418945 +1990,37,0,suicide,18-20 yrs,40,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.458658218383789 +1990,37,0,homicide,18-20 yrs,64,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,18.33385467529297 +1990,37,0,other external,18-20 yrs,48,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,13.75039005279541 +1990,37,0,internal,18-20 yrs,65,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,18.620319366455078 +1990,37,0,all,21-24 yrs,506,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,115.9234390258789 +1990,37,0,MVA,21-24 yrs,151,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,34.593753814697266 +1990,37,0,suicide,21-24 yrs,74,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,16.953229904174805 +1990,37,0,homicide,21-24 yrs,92,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,21.076988220214844 +1990,37,0,other external,21-24 yrs,51,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.683982849121094 +1990,37,0,internal,21-24 yrs,138,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,31.615482330322266 +1991,37,0,MVA,15-17 yrs,90,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,33.683265686035156 +1991,37,0,suicide,15-17 yrs,23,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.607945442199707 +1991,37,0,homicide,15-17 yrs,40,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,14.97033977508545 +1991,37,0,other external,15-17 yrs,24,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.98220443725586 +1991,37,0,internal,15-17 yrs,39,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,14.596081733703613 +1991,37,0,all,18-20 yrs,360,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,109.70191192626953 +1991,37,0,MVA,18-20 yrs,126,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,38.39567184448242 +1991,37,0,suicide,18-20 yrs,45,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,13.712738990783691 +1991,37,0,homicide,18-20 yrs,91,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,27.730205535888672 +1991,37,0,other external,18-20 yrs,36,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,10.970191955566406 +1991,37,0,internal,18-20 yrs,62,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,18.893108367919922 +1991,37,0,all,21-24 yrs,489,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,108.9441146850586 +1991,37,0,MVA,21-24 yrs,147,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,32.75006866455078 +1991,37,0,suicide,21-24 yrs,56,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,12.476217269897461 +1991,37,0,homicide,21-24 yrs,135,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,30.076595306396484 +1991,37,0,other external,21-24 yrs,39,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.688794136047363 +1991,37,0,internal,21-24 yrs,112,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,24.952434539794922 +1992,37,0,MVA,15-17 yrs,91,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,33.563236236572266 +1992,37,0,suicide,15-17 yrs,28,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.327149391174316 +1992,37,0,homicide,15-17 yrs,32,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,11.802456855773926 +1992,37,0,other external,15-17 yrs,25,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,9.22066879272461 +1992,37,0,internal,15-17 yrs,40,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,14.753070831298828 +1992,37,0,all,18-20 yrs,334,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,110.10674285888672 +1992,37,0,MVA,18-20 yrs,125,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,41.20761489868164 +1992,37,0,suicide,18-20 yrs,39,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,12.856775283813477 +1992,37,0,homicide,18-20 yrs,78,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,25.713550567626953 +1992,37,0,other external,18-20 yrs,31,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.219488143920898 +1992,37,0,internal,18-20 yrs,61,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,20.109315872192383 +1992,37,0,all,21-24 yrs,491,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,106.91461181640625 +1992,37,0,MVA,21-24 yrs,151,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,32.88005447387695 +1992,37,0,suicide,21-24 yrs,65,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,14.153665542602539 +1992,37,0,homicide,21-24 yrs,112,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,24.387853622436523 +1992,37,0,other external,21-24 yrs,46,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.016440391540527 +1992,37,0,internal,21-24 yrs,117,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,25.47659683227539 +1993,37,0,MVA,15-17 yrs,84,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,30.452436447143555 +1993,37,0,suicide,15-17 yrs,25,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,9.063224792480469 +1993,37,0,homicide,15-17 yrs,36,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,13.051044464111328 +1993,37,0,other external,15-17 yrs,35,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.688514709472656 +1993,37,0,internal,15-17 yrs,44,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,15.951275825500488 +1993,37,0,all,18-20 yrs,347,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,118.33270263671875 +1993,37,0,MVA,18-20 yrs,137,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,46.7192497253418 +1993,37,0,suicide,18-20 yrs,41,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,13.981674194335938 +1993,37,0,homicide,18-20 yrs,81,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,27.622331619262695 +1993,37,0,other external,18-20 yrs,38,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.958624839782715 +1993,37,0,internal,18-20 yrs,50,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,17.05082130432129 +1993,37,0,all,21-24 yrs,517,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,112.73538970947266 +1993,37,0,MVA,21-24 yrs,174,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,37.941890716552734 +1993,37,0,suicide,21-24 yrs,57,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.429240226745605 +1993,37,0,homicide,21-24 yrs,123,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,26.820993423461914 +1993,37,0,other external,21-24 yrs,52,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,11.338955879211426 +1993,37,0,internal,21-24 yrs,111,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,24.20431137084961 +1994,37,0,MVA,15-17 yrs,88,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,30.924501419067383 +1994,37,0,suicide,15-17 yrs,35,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.299517631530762 +1994,37,0,homicide,15-17 yrs,35,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.299517631530762 +1994,37,0,other external,15-17 yrs,24,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,8.433955192565918 +1994,37,0,internal,15-17 yrs,42,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,14.759421348571777 +1994,37,0,all,18-20 yrs,374,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,129.1155548095703 +1994,37,0,MVA,18-20 yrs,147,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,50.748626708984375 +1994,37,0,suicide,18-20 yrs,55,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,18.987581253051758 +1994,37,0,homicide,18-20 yrs,72,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,24.85647201538086 +1994,37,0,other external,18-20 yrs,37,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.77346420288086 +1994,37,0,internal,18-20 yrs,63,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,21.749412536621094 +1994,37,0,all,21-24 yrs,554,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,125.02397918701172 +1994,37,0,MVA,21-24 yrs,162,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,36.559356689453125 +1994,37,0,suicide,21-24 yrs,80,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,18.054004669189453 +1994,37,0,homicide,21-24 yrs,134,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,30.24045753479004 +1994,37,0,other external,21-24 yrs,56,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.637803077697754 +1994,37,0,internal,21-24 yrs,122,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,27.53235626220703 +1995,37,0,MVA,15-17 yrs,90,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,30.791547775268555 +1995,37,0,suicide,15-17 yrs,30,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,10.263849258422852 +1995,37,0,homicide,15-17 yrs,30,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,10.263849258422852 +1995,37,0,other external,15-17 yrs,23,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,7.868951320648193 +1995,37,0,internal,15-17 yrs,43,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,14.711517333984375 +1995,37,0,all,18-20 yrs,367,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,124.92893981933594 +1995,37,0,MVA,18-20 yrs,136,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,46.29519271850586 +1995,37,0,suicide,18-20 yrs,51,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,17.36069679260254 +1995,37,0,homicide,18-20 yrs,74,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,25.190031051635742 +1995,37,0,other external,18-20 yrs,42,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,14.29704475402832 +1995,37,0,internal,18-20 yrs,64,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,21.785972595214844 +1995,37,0,all,21-24 yrs,476,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,112.51651763916016 +1995,37,0,MVA,21-24 yrs,150,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,35.456886291503906 +1995,37,0,suicide,21-24 yrs,64,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,15.128271102905273 +1995,37,0,homicide,21-24 yrs,103,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,24.347061157226562 +1995,37,0,other external,21-24 yrs,36,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,8.509652137756348 +1995,37,0,internal,21-24 yrs,123,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,29.07464599609375 +1996,37,0,MVA,15-17 yrs,91,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,30.49158477783203 +1996,37,0,suicide,15-17 yrs,28,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,9.382025718688965 +1996,37,0,homicide,15-17 yrs,23,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,7.706664085388184 +1996,37,0,other external,15-17 yrs,22,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,7.371592044830322 +1996,37,0,internal,15-17 yrs,54,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,18.093908309936523 +1996,37,0,all,18-20 yrs,331,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,111.37956237792969 +1996,37,0,MVA,18-20 yrs,139,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,46.77268600463867 +1996,37,0,suicide,18-20 yrs,41,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,13.796259880065918 +1996,37,0,homicide,18-20 yrs,73,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,24.564071655273438 +1996,37,0,other external,18-20 yrs,33,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,11.1043062210083 +1996,37,0,internal,18-20 yrs,45,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,15.14223575592041 +1996,37,0,all,21-24 yrs,482,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,119.81257629394531 +1996,37,0,MVA,21-24 yrs,164,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,40.76610565185547 +1996,37,0,suicide,21-24 yrs,68,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,16.903018951416016 +1996,37,0,homicide,21-24 yrs,89,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,22.123069763183594 +1996,37,0,other external,21-24 yrs,46,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,11.434394836425781 +1996,37,0,internal,21-24 yrs,115,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,28.585987091064453 +1970,38,0,MVA,15-17 yrs,13,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,32.107486724853516 +1970,38,0,suicide,15-17 yrs,0,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,homicide,15-17 yrs,0,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,other external,15-17 yrs,9,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,22.228260040283203 +1970,38,0,internal,15-17 yrs,9,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,22.228260040283203 +1970,38,0,all,18-20 yrs,51,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,143.00936889648438 +1970,38,0,MVA,18-20 yrs,24,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,67.29852294921875 +1970,38,0,suicide,18-20 yrs,6,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,16.824630737304688 +1970,38,0,homicide,18-20 yrs,2,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,5.608210563659668 +1970,38,0,other external,18-20 yrs,9,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,25.23694610595703 +1970,38,0,internal,18-20 yrs,10,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,28.041051864624023 +1970,38,0,all,21-24 yrs,47,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,125.53754425048828 +1970,38,0,MVA,21-24 yrs,25,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,66.7752914428711 +1970,38,0,suicide,21-24 yrs,1,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,2.671011447906494 +1970,38,0,homicide,21-24 yrs,0,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,other external,21-24 yrs,10,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,26.710115432739258 +1970,38,0,internal,21-24 yrs,11,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,29.381126403808594 +1971,38,0,MVA,15-17 yrs,25,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,60.39960479736328 +1971,38,0,suicide,15-17 yrs,3,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,7.247952461242676 +1971,38,0,homicide,15-17 yrs,1,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.4159841537475586 +1971,38,0,other external,15-17 yrs,9,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,21.74385643005371 +1971,38,0,internal,15-17 yrs,9,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,21.74385643005371 +1971,38,0,all,18-20 yrs,51,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,135.92750549316406 +1971,38,0,MVA,18-20 yrs,39,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,103.94456481933594 +1971,38,0,suicide,18-20 yrs,1,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.665245294570923 +1971,38,0,homicide,18-20 yrs,1,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.665245294570923 +1971,38,0,other external,18-20 yrs,5,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,13.326226234436035 +1971,38,0,internal,18-20 yrs,5,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,13.326226234436035 +1971,38,0,all,21-24 yrs,49,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,114.70842742919922 +1971,38,0,MVA,21-24 yrs,25,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,58.52470779418945 +1971,38,0,suicide,21-24 yrs,6,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,14.045929908752441 +1971,38,0,homicide,21-24 yrs,1,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.3409883975982666 +1971,38,0,other external,21-24 yrs,12,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,28.091859817504883 +1971,38,0,internal,21-24 yrs,5,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,11.704941749572754 +1972,38,0,MVA,15-17 yrs,28,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,66.7413558959961 +1972,38,0,suicide,15-17 yrs,2,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,4.767239570617676 +1972,38,0,homicide,15-17 yrs,2,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,4.767239570617676 +1972,38,0,other external,15-17 yrs,8,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,19.068958282470703 +1972,38,0,internal,15-17 yrs,6,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,14.301718711853027 +1972,38,0,all,18-20 yrs,72,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,187.72488403320312 +1972,38,0,MVA,18-20 yrs,30,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,78.21869659423828 +1972,38,0,suicide,18-20 yrs,6,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,15.643739700317383 +1972,38,0,homicide,18-20 yrs,0,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,0 +1972,38,0,other external,18-20 yrs,20,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,52.14580154418945 +1972,38,0,internal,18-20 yrs,16,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,41.71664047241211 +1972,38,0,all,21-24 yrs,50,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,111.8868637084961 +1972,38,0,MVA,21-24 yrs,22,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,49.23021697998047 +1972,38,0,suicide,21-24 yrs,4,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,8.950948715209961 +1972,38,0,homicide,21-24 yrs,0,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,0 +1972,38,0,other external,21-24 yrs,14,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,31.32832145690918 +1972,38,0,internal,21-24 yrs,10,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,22.37737274169922 +1973,38,0,MVA,15-17 yrs,25,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,59.3232421875 +1973,38,0,suicide,15-17 yrs,5,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,11.86464786529541 +1973,38,0,homicide,15-17 yrs,1,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.372929573059082 +1973,38,0,other external,15-17 yrs,12,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,28.475154876708984 +1973,38,0,internal,15-17 yrs,11,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,26.10222625732422 +1973,38,0,all,18-20 yrs,59,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,151.72164916992188 +1973,38,0,MVA,18-20 yrs,29,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,74.5750503540039 +1973,38,0,suicide,18-20 yrs,4,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,10.286213874816895 +1973,38,0,homicide,18-20 yrs,1,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.5715534687042236 +1973,38,0,other external,18-20 yrs,11,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,28.28708839416504 +1973,38,0,internal,18-20 yrs,14,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,36.001747131347656 +1973,38,0,all,21-24 yrs,67,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,143.72439575195312 +1973,38,0,MVA,21-24 yrs,36,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,77.22504425048828 +1973,38,0,suicide,21-24 yrs,8,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,17.161121368408203 +1973,38,0,homicide,21-24 yrs,1,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.1451401710510254 +1973,38,0,other external,21-24 yrs,11,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,23.596542358398438 +1973,38,0,internal,21-24 yrs,11,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,23.596542358398438 +1974,38,0,MVA,15-17 yrs,16,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,37.7857551574707 +1974,38,0,suicide,15-17 yrs,4,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,9.446438789367676 +1974,38,0,homicide,15-17 yrs,0,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,0 +1974,38,0,other external,15-17 yrs,11,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,25.977706909179688 +1974,38,0,internal,15-17 yrs,10,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,23.61609649658203 +1974,38,0,all,18-20 yrs,51,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,128.0377655029297 +1974,38,0,MVA,18-20 yrs,23,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,57.74251937866211 +1974,38,0,suicide,18-20 yrs,4,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,10.042177200317383 +1974,38,0,homicide,18-20 yrs,3,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,7.531632900238037 +1974,38,0,other external,18-20 yrs,10,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,25.10544204711914 +1974,38,0,internal,18-20 yrs,11,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,27.61598777770996 +1974,38,0,all,21-24 yrs,66,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,138.67877197265625 +1974,38,0,MVA,21-24 yrs,31,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,65.13700103759766 +1974,38,0,suicide,21-24 yrs,9,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,18.910741806030273 +1974,38,0,homicide,21-24 yrs,2,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,4.202386856079102 +1974,38,0,other external,21-24 yrs,16,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,33.61909484863281 +1974,38,0,internal,21-24 yrs,8,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,16.809547424316406 +1975,38,0,MVA,15-17 yrs,13,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,30.78453254699707 +1975,38,0,suicide,15-17 yrs,3,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,7.104122638702393 +1975,38,0,homicide,15-17 yrs,1,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,2.3680410385131836 +1975,38,0,other external,15-17 yrs,9,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,21.312368392944336 +1975,38,0,internal,15-17 yrs,5,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,11.840204238891602 +1975,38,0,all,18-20 yrs,66,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,161.36524963378906 +1975,38,0,MVA,18-20 yrs,28,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,68.4579849243164 +1975,38,0,suicide,18-20 yrs,7,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,17.1144962310791 +1975,38,0,homicide,18-20 yrs,0,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,0 +1975,38,0,other external,18-20 yrs,19,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,46.45363235473633 +1975,38,0,internal,18-20 yrs,12,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,29.339136123657227 +1975,38,0,all,21-24 yrs,60,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,122.89541625976562 +1975,38,0,MVA,21-24 yrs,24,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,49.158164978027344 +1975,38,0,suicide,21-24 yrs,5,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,10.241284370422363 +1975,38,0,homicide,21-24 yrs,1,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,2.0482568740844727 +1975,38,0,other external,21-24 yrs,14,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,28.675596237182617 +1975,38,0,internal,21-24 yrs,16,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,32.77210998535156 +1976,38,0,MVA,15-17 yrs,21,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,49.791351318359375 +1976,38,0,suicide,15-17 yrs,6,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,14.226099967956543 +1976,38,0,homicide,15-17 yrs,2,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,4.7420334815979 +1976,38,0,other external,15-17 yrs,9,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.339149475097656 +1976,38,0,internal,15-17 yrs,6,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,14.226099967956543 +1976,38,0,all,18-20 yrs,49,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,116.69445037841797 +1976,38,0,MVA,18-20 yrs,30,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,71.4455795288086 +1976,38,0,suicide,18-20 yrs,2,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,4.763038635253906 +1976,38,0,homicide,18-20 yrs,1,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,2.381519317626953 +1976,38,0,other external,18-20 yrs,9,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.433673858642578 +1976,38,0,internal,18-20 yrs,7,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,16.670635223388672 +1976,38,0,all,21-24 yrs,62,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,123.26043701171875 +1976,38,0,MVA,21-24 yrs,25,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,49.70178985595703 +1976,38,0,suicide,21-24 yrs,9,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,17.89264488220215 +1976,38,0,homicide,21-24 yrs,2,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,3.9761431217193604 +1976,38,0,other external,21-24 yrs,15,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,29.821073532104492 +1976,38,0,internal,21-24 yrs,11,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.86878776550293 +1977,38,0,MVA,15-17 yrs,19,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,45.949214935302734 +1977,38,0,suicide,15-17 yrs,5,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,12.091897964477539 +1977,38,0,homicide,15-17 yrs,0,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,0 +1977,38,0,other external,15-17 yrs,11,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,26.602176666259766 +1977,38,0,internal,15-17 yrs,7,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,16.92865753173828 +1977,38,0,all,18-20 yrs,64,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,150.30531311035156 +1977,38,0,MVA,18-20 yrs,36,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,84.54673767089844 +1977,38,0,suicide,18-20 yrs,10,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,23.485204696655273 +1977,38,0,homicide,18-20 yrs,1,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,2.348520517349243 +1977,38,0,other external,18-20 yrs,8,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,18.788164138793945 +1977,38,0,internal,18-20 yrs,9,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,21.13668441772461 +1977,38,0,all,21-24 yrs,54,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,104.96238708496094 +1977,38,0,MVA,21-24 yrs,25,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,48.59369659423828 +1977,38,0,suicide,21-24 yrs,11,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,21.381227493286133 +1977,38,0,homicide,21-24 yrs,0,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,0 +1977,38,0,other external,21-24 yrs,13,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,25.268722534179688 +1977,38,0,internal,21-24 yrs,5,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,9.71873950958252 +1978,38,0,MVA,15-17 yrs,18,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,44.93708801269531 +1978,38,0,suicide,15-17 yrs,3,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,7.4895148277282715 +1978,38,0,homicide,15-17 yrs,0,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,0 +1978,38,0,other external,15-17 yrs,8,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,19.97203826904297 +1978,38,0,internal,15-17 yrs,4,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,9.986019134521484 +1978,38,0,all,18-20 yrs,47,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,110.23289489746094 +1978,38,0,MVA,18-20 yrs,28,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,65.67066192626953 +1978,38,0,suicide,18-20 yrs,3,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,7.036142349243164 +1978,38,0,homicide,18-20 yrs,0,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,0 +1978,38,0,other external,18-20 yrs,7,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,16.417665481567383 +1978,38,0,internal,18-20 yrs,9,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,21.108427047729492 +1978,38,0,all,21-24 yrs,76,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,143.78689575195312 +1978,38,0,MVA,21-24 yrs,33,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,62.433780670166016 +1978,38,0,suicide,21-24 yrs,8,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,15.135462760925293 +1978,38,0,homicide,21-24 yrs,2,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,3.7838656902313232 +1978,38,0,other external,21-24 yrs,17,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,32.16285705566406 +1978,38,0,internal,21-24 yrs,16,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,30.270925521850586 +1979,38,0,MVA,15-17 yrs,17,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,44.438636779785156 +1979,38,0,suicide,15-17 yrs,2,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,5.228074550628662 +1979,38,0,homicide,15-17 yrs,1,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,2.614037275314331 +1979,38,0,other external,15-17 yrs,9,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,23.526336669921875 +1979,38,0,internal,15-17 yrs,9,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,23.526336669921875 +1979,38,0,all,18-20 yrs,55,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,129.37522888183594 +1979,38,0,MVA,18-20 yrs,29,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,68.216033935546875 +1979,38,0,suicide,18-20 yrs,8,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,18.81821632385254 +1979,38,0,homicide,18-20 yrs,1,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,2.3522770404815674 +1979,38,0,other external,18-20 yrs,3,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,7.056830883026123 +1979,38,0,internal,18-20 yrs,14,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,32.93187713623047 +1979,38,0,all,21-24 yrs,49,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,90.52449035644531 +1979,38,0,MVA,21-24 yrs,18,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,33.2538948059082 +1979,38,0,suicide,21-24 yrs,15,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,27.711578369140625 +1979,38,0,homicide,21-24 yrs,1,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,1.8474385738372803 +1979,38,0,other external,21-24 yrs,5,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,9.23719310760498 +1979,38,0,internal,21-24 yrs,10,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,18.47438621520996 +1980,38,0,MVA,15-17 yrs,20,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,55.83628845214844 +1980,38,0,suicide,15-17 yrs,1,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,2.7918143272399902 +1980,38,0,homicide,15-17 yrs,1,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,2.7918143272399902 +1980,38,0,other external,15-17 yrs,5,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,13.95907211303711 +1980,38,0,internal,15-17 yrs,9,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,25.12632942199707 +1980,38,0,all,18-20 yrs,73,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,172.95298767089844 +1980,38,0,MVA,18-20 yrs,34,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,80.55345153808594 +1980,38,0,suicide,18-20 yrs,14,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,33.1690673828125 +1980,38,0,homicide,18-20 yrs,2,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,4.738438129425049 +1980,38,0,other external,18-20 yrs,12,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,28.43062973022461 +1980,38,0,internal,18-20 yrs,11,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,26.061410903930664 +1980,38,0,all,21-24 yrs,69,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,125.49333190917969 +1980,38,0,MVA,21-24 yrs,37,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,67.29352569580078 +1980,38,0,suicide,21-24 yrs,11,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,20.006183624267578 +1980,38,0,homicide,21-24 yrs,2,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,3.6374878883361816 +1980,38,0,other external,21-24 yrs,12,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,21.824928283691406 +1980,38,0,internal,21-24 yrs,7,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,12.731207847595215 +1981,38,0,MVA,15-17 yrs,16,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,47.150352478027344 +1981,38,0,suicide,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,homicide,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,other external,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,internal,15-17 yrs,14,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,41.25655746459961 +1981,38,0,all,18-20 yrs,58,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,141.81968688964844 +1981,38,0,MVA,18-20 yrs,26,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,63.574344635009766 +1981,38,0,suicide,18-20 yrs,10,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,24.451671600341797 +1981,38,0,homicide,18-20 yrs,6,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,14.671002388000488 +1981,38,0,other external,18-20 yrs,10,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,24.451671600341797 +1981,38,0,internal,18-20 yrs,6,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,14.671002388000488 +1981,38,0,all,21-24 yrs,80,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,143.56729125976562 +1981,38,0,MVA,21-24 yrs,34,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,61.01609802246094 +1981,38,0,suicide,21-24 yrs,6,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,10.767546653747559 +1981,38,0,homicide,21-24 yrs,2,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,3.589182138442993 +1981,38,0,other external,21-24 yrs,20,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,35.891822814941406 +1981,38,0,internal,21-24 yrs,18,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,32.30263900756836 +1982,38,0,MVA,15-17 yrs,16,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,49.42695617675781 +1982,38,0,suicide,15-17 yrs,0,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,homicide,15-17 yrs,0,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,other external,15-17 yrs,6,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,18.53510856628418 +1982,38,0,internal,15-17 yrs,4,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,12.356739044189453 +1982,38,0,all,18-20 yrs,36,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,91.13001251220703 +1982,38,0,MVA,18-20 yrs,18,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,45.565006256103516 +1982,38,0,suicide,18-20 yrs,6,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,15.188335418701172 +1982,38,0,homicide,18-20 yrs,2,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,5.062778472900391 +1982,38,0,other external,18-20 yrs,6,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,15.188335418701172 +1982,38,0,internal,18-20 yrs,4,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,10.125556945800781 +1982,38,0,all,21-24 yrs,66,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,116.7500991821289 +1982,38,0,MVA,21-24 yrs,36,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,63.6818733215332 +1982,38,0,suicide,21-24 yrs,10,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,17.689409255981445 +1982,38,0,homicide,21-24 yrs,0,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,other external,21-24 yrs,14,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,24.765172958374023 +1982,38,0,internal,21-24 yrs,6,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,10.613645553588867 +1983,38,0,MVA,15-17 yrs,13,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,41.95307540893555 +1983,38,0,suicide,15-17 yrs,4,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,12.908638954162598 +1983,38,0,homicide,15-17 yrs,0,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,0 +1983,38,0,other external,15-17 yrs,2,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,6.454319477081299 +1983,38,0,internal,15-17 yrs,9,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,29.044437408447266 +1983,38,0,all,18-20 yrs,32,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,83.6885757446289 +1983,38,0,MVA,18-20 yrs,11,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,28.767948150634766 +1983,38,0,suicide,18-20 yrs,4,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,10.461071968078613 +1983,38,0,homicide,18-20 yrs,1,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,2.6152679920196533 +1983,38,0,other external,18-20 yrs,9,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,23.537410736083984 +1983,38,0,internal,18-20 yrs,7,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,18.306875228881836 +1983,38,0,all,21-24 yrs,69,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,123.54078674316406 +1983,38,0,MVA,21-24 yrs,28,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,50.13249206542969 +1983,38,0,suicide,21-24 yrs,8,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,14.323569297790527 +1983,38,0,homicide,21-24 yrs,4,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,7.161784648895264 +1983,38,0,other external,21-24 yrs,16,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,28.647138595581055 +1983,38,0,internal,21-24 yrs,13,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,23.275800704956055 +1984,38,0,MVA,15-17 yrs,7,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,22.92000961303711 +1984,38,0,suicide,15-17 yrs,1,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,3.274286985397339 +1984,38,0,homicide,15-17 yrs,0,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,0 +1984,38,0,other external,15-17 yrs,3,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,9.8228607177734375 +1984,38,0,internal,15-17 yrs,4,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,13.097147941589355 +1984,38,0,all,18-20 yrs,33,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,90.75408172607422 +1984,38,0,MVA,18-20 yrs,17,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,46.752105712890625 +1984,38,0,suicide,18-20 yrs,9,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,24.751113891601562 +1984,38,0,homicide,18-20 yrs,0,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,0 +1984,38,0,other external,18-20 yrs,4,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,11.000494956970215 +1984,38,0,internal,18-20 yrs,3,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,8.250370979309082 +1984,38,0,all,21-24 yrs,58,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,106.98738098144531 +1984,38,0,MVA,21-24 yrs,20,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,36.8922004699707 +1984,38,0,suicide,21-24 yrs,9,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,16.601490020751953 +1984,38,0,homicide,21-24 yrs,1,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,1.8446100950241089 +1984,38,0,other external,21-24 yrs,18,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,33.202980041503906 +1984,38,0,internal,21-24 yrs,10,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,18.44610023498535 +1985,38,0,MVA,15-17 yrs,8,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,26.2605037689209 +1985,38,0,suicide,15-17 yrs,2,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,6.565125942230225 +1985,38,0,homicide,15-17 yrs,0,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,0 +1985,38,0,other external,15-17 yrs,2,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,6.565125942230225 +1985,38,0,internal,15-17 yrs,5,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,16.41281509399414 +1985,38,0,all,18-20 yrs,30,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,87.6296157836914 +1985,38,0,MVA,18-20 yrs,14,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,40.893821716308594 +1985,38,0,suicide,18-20 yrs,5,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,14.604936599731445 +1985,38,0,homicide,18-20 yrs,0,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,0 +1985,38,0,other external,18-20 yrs,5,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,14.604936599731445 +1985,38,0,internal,18-20 yrs,6,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,17.525924682617188 +1985,38,0,all,21-24 yrs,39,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,76.01598358154297 +1985,38,0,MVA,21-24 yrs,17,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,33.13517379760742 +1985,38,0,suicide,21-24 yrs,7,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,13.64389419555664 +1985,38,0,homicide,21-24 yrs,2,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,3.8982555866241455 +1985,38,0,other external,21-24 yrs,5,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,9.745638847351074 +1985,38,0,internal,21-24 yrs,8,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,15.593022346496582 +1986,38,0,MVA,15-17 yrs,9,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,29.483062744140625 +1986,38,0,suicide,15-17 yrs,1,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,3.2758960723876953 +1986,38,0,homicide,15-17 yrs,0,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,0 +1986,38,0,other external,15-17 yrs,3,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,9.827688217163086 +1986,38,0,internal,15-17 yrs,6,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,19.655376434326172 +1986,38,0,all,18-20 yrs,28,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,87.23284912109375 +1986,38,0,MVA,18-20 yrs,10,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,31.15458869934082 +1986,38,0,suicide,18-20 yrs,8,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,24.92367172241211 +1986,38,0,homicide,18-20 yrs,0,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,0 +1986,38,0,other external,18-20 yrs,6,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,18.692752838134766 +1986,38,0,internal,18-20 yrs,4,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,12.461835861206055 +1986,38,0,all,21-24 yrs,42,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,88.04293060302734 +1986,38,0,MVA,21-24 yrs,14,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,29.34764289855957 +1986,38,0,suicide,21-24 yrs,9,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,18.866342544555664 +1986,38,0,homicide,21-24 yrs,1,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,2.0962603092193604 +1986,38,0,other external,21-24 yrs,8,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,16.770082473754883 +1986,38,0,internal,21-24 yrs,10,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,20.962602615356445 +1987,38,0,MVA,15-17 yrs,10,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,33.60779571533203 +1987,38,0,suicide,15-17 yrs,6,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,20.1646785736084 +1987,38,0,homicide,15-17 yrs,2,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,6.721559524536133 +1987,38,0,other external,15-17 yrs,4,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,13.443119049072266 +1987,38,0,internal,15-17 yrs,6,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,20.1646785736084 +1987,38,0,all,18-20 yrs,31,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,99.6944808959961 +1987,38,0,MVA,18-20 yrs,11,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,35.37546157836914 +1987,38,0,suicide,18-20 yrs,6,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,19.295705795288086 +1987,38,0,homicide,18-20 yrs,3,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,9.647852897644043 +1987,38,0,other external,18-20 yrs,2,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,6.4319024085998535 +1987,38,0,internal,18-20 yrs,9,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,28.943559646606445 +1987,38,0,all,21-24 yrs,35,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,78.75433349609375 +1987,38,0,MVA,21-24 yrs,15,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,33.75185775756836 +1987,38,0,suicide,21-24 yrs,5,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,11.250618934631348 +1987,38,0,homicide,21-24 yrs,2,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,4.500247478485107 +1987,38,0,other external,21-24 yrs,8,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,18.00098991394043 +1987,38,0,internal,21-24 yrs,5,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,11.250618934631348 +1988,38,0,MVA,15-17 yrs,7,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,24.587284088134766 +1988,38,0,suicide,15-17 yrs,5,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,17.562345504760742 +1988,38,0,homicide,15-17 yrs,1,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,3.5124692916870117 +1988,38,0,other external,15-17 yrs,5,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,17.562345504760742 +1988,38,0,internal,15-17 yrs,4,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,14.049877166748047 +1988,38,0,all,18-20 yrs,23,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,73.90745544433594 +1988,38,0,MVA,18-20 yrs,11,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,35.347042083740234 +1988,38,0,suicide,18-20 yrs,6,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,19.28020477294922 +1988,38,0,homicide,18-20 yrs,0,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,0 +1988,38,0,other external,18-20 yrs,3,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,9.64010238647461 +1988,38,0,internal,18-20 yrs,3,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,9.64010238647461 +1988,38,0,all,21-24 yrs,47,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,112.69091796875 +1988,38,0,MVA,21-24 yrs,21,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,50.351261138916016 +1988,38,0,suicide,21-24 yrs,8,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,19.181432723999023 +1988,38,0,homicide,21-24 yrs,2,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,4.795358180999756 +1988,38,0,other external,21-24 yrs,3,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,7.193037033081055 +1988,38,0,internal,21-24 yrs,13,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,31.169828414916992 +1989,38,0,MVA,15-17 yrs,8,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,29.44207191467285 +1989,38,0,suicide,15-17 yrs,2,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,7.360517978668213 +1989,38,0,homicide,15-17 yrs,0,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,0 +1989,38,0,other external,15-17 yrs,1,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,3.6802589893341064 +1989,38,0,internal,15-17 yrs,6,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,22.081554412841797 +1989,38,0,all,18-20 yrs,20,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,63.85900115966797 +1989,38,0,MVA,18-20 yrs,10,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,31.929500579833984 +1989,38,0,suicide,18-20 yrs,5,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,15.964750289916992 +1989,38,0,homicide,18-20 yrs,0,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,0 +1989,38,0,other external,18-20 yrs,4,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,12.77180004119873 +1989,38,0,internal,18-20 yrs,1,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,3.1929500102996826 +1989,38,0,all,21-24 yrs,32,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,82.12498474121094 +1989,38,0,MVA,21-24 yrs,12,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,30.7968692779541 +1989,38,0,suicide,21-24 yrs,7,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,17.964839935302734 +1989,38,0,homicide,21-24 yrs,3,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,7.699217319488525 +1989,38,0,other external,21-24 yrs,2,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,5.132811546325684 +1989,38,0,internal,21-24 yrs,8,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,20.531246185302734 +1990,38,0,MVA,15-17 yrs,12,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,45.682960510253906 +1990,38,0,suicide,15-17 yrs,3,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,11.420740127563477 +1990,38,0,homicide,15-17 yrs,0,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,0 +1990,38,0,other external,15-17 yrs,4,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,15.227653503417969 +1990,38,0,internal,15-17 yrs,6,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,22.841480255126953 +1990,38,0,all,18-20 yrs,31,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,99.91941833496094 +1990,38,0,MVA,18-20 yrs,16,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,51.571311950683594 +1990,38,0,suicide,18-20 yrs,6,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,19.339242935180664 +1990,38,0,homicide,18-20 yrs,1,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,3.2232069969177246 +1990,38,0,other external,18-20 yrs,2,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,6.446413993835449 +1990,38,0,internal,18-20 yrs,6,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,19.339242935180664 +1990,38,0,all,21-24 yrs,41,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,108.76197052001953 +1990,38,0,MVA,21-24 yrs,16,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,42.443695068359375 +1990,38,0,suicide,21-24 yrs,12,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,31.83277130126953 +1990,38,0,homicide,21-24 yrs,1,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,2.652730941772461 +1990,38,0,other external,21-24 yrs,2,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,5.305461883544922 +1990,38,0,internal,21-24 yrs,10,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,26.52730941772461 +1991,38,0,MVA,15-17 yrs,9,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,33.617210388183594 +1991,38,0,suicide,15-17 yrs,3,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,11.205737113952637 +1991,38,0,homicide,15-17 yrs,0,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,0 +1991,38,0,other external,15-17 yrs,1,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,3.735245704650879 +1991,38,0,internal,15-17 yrs,3,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,11.205737113952637 +1991,38,0,all,18-20 yrs,27,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,92.88883972167969 +1991,38,0,MVA,18-20 yrs,10,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,34.40327453613281 +1991,38,0,suicide,18-20 yrs,10,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,34.40327453613281 +1991,38,0,homicide,18-20 yrs,0,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,0 +1991,38,0,other external,18-20 yrs,2,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,6.880654811859131 +1991,38,0,internal,18-20 yrs,5,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,17.201637268066406 +1991,38,0,all,21-24 yrs,41,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,107.42264556884766 +1991,38,0,MVA,21-24 yrs,10,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,26.200645446777344 +1991,38,0,suicide,21-24 yrs,11,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,28.820709228515625 +1991,38,0,homicide,21-24 yrs,1,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,2.6200644969940186 +1991,38,0,other external,21-24 yrs,10,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,26.200645446777344 +1991,38,0,internal,21-24 yrs,9,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,23.58057975769043 +1992,38,0,MVA,15-17 yrs,5,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,18.041423797607422 +1992,38,0,suicide,15-17 yrs,6,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,21.649707794189453 +1992,38,0,homicide,15-17 yrs,2,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,7.216569423675537 +1992,38,0,other external,15-17 yrs,3,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.824853897094727 +1992,38,0,internal,15-17 yrs,3,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.824853897094727 +1992,38,0,all,18-20 yrs,20,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,72.01238250732422 +1992,38,0,MVA,18-20 yrs,12,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,43.20743179321289 +1992,38,0,suicide,18-20 yrs,3,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.801857948303223 +1992,38,0,homicide,18-20 yrs,0,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,0 +1992,38,0,other external,18-20 yrs,1,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,3.600619316101074 +1992,38,0,internal,18-20 yrs,4,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,14.402477264404297 +1992,38,0,all,21-24 yrs,25,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,64.2938003540039 +1992,38,0,MVA,21-24 yrs,11,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,28.289270401000977 +1992,38,0,suicide,21-24 yrs,7,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,18.00226402282715 +1992,38,0,homicide,21-24 yrs,0,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,0 +1992,38,0,other external,21-24 yrs,3,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,7.7152557373046875 +1992,38,0,internal,21-24 yrs,4,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.287007331848145 +1993,38,0,MVA,15-17 yrs,9,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,31.619997024536133 +1993,38,0,suicide,15-17 yrs,5,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,17.566665649414062 +1993,38,0,homicide,15-17 yrs,2,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.026666164398193 +1993,38,0,other external,15-17 yrs,3,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.539999008178711 +1993,38,0,internal,15-17 yrs,3,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.539999008178711 +1993,38,0,all,18-20 yrs,16,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,57.31480026245117 +1993,38,0,MVA,18-20 yrs,6,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,21.493051528930664 +1993,38,0,suicide,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,homicide,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,other external,18-20 yrs,4,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,14.328700065612793 +1993,38,0,internal,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,all,21-24 yrs,40,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,103.4875259399414 +1993,38,0,MVA,21-24 yrs,16,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,41.39501190185547 +1993,38,0,suicide,21-24 yrs,9,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,23.28469467163086 +1993,38,0,homicide,21-24 yrs,2,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,5.174376487731934 +1993,38,0,other external,21-24 yrs,4,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.348752975463867 +1993,38,0,internal,21-24 yrs,9,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,23.28469467163086 +1994,38,0,MVA,15-17 yrs,12,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,40.80799865722656 +1994,38,0,suicide,15-17 yrs,8,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,27.205331802368164 +1994,38,0,homicide,15-17 yrs,0,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,0 +1994,38,0,other external,15-17 yrs,6,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,20.40399932861328 +1994,38,0,internal,15-17 yrs,5,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,17.003332138061523 +1994,38,0,all,18-20 yrs,27,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,94.37259674072266 +1994,38,0,MVA,18-20 yrs,15,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,52.429222106933594 +1994,38,0,suicide,18-20 yrs,6,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,20.97168731689453 +1994,38,0,homicide,18-20 yrs,2,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,6.990562915802002 +1994,38,0,other external,18-20 yrs,3,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,10.485843658447266 +1994,38,0,internal,18-20 yrs,1,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,3.495281457901001 +1994,38,0,all,21-24 yrs,38,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,100.64092254638672 +1994,38,0,MVA,21-24 yrs,9,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,23.836008071899414 +1994,38,0,suicide,21-24 yrs,10,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,26.484453201293945 +1994,38,0,homicide,21-24 yrs,2,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,5.296890735626221 +1994,38,0,other external,21-24 yrs,3,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,7.945335865020752 +1994,38,0,internal,21-24 yrs,14,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,37.0782356262207 +1995,38,0,MVA,15-17 yrs,8,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,26.326181411743164 +1995,38,0,suicide,15-17 yrs,6,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,19.74463653564453 +1995,38,0,homicide,15-17 yrs,0,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,other external,15-17 yrs,1,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,3.2907726764678955 +1995,38,0,internal,15-17 yrs,5,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,16.4538631439209 +1995,38,0,all,18-20 yrs,23,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,77.47760009765625 +1995,38,0,MVA,18-20 yrs,6,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,20.2115478515625 +1995,38,0,suicide,18-20 yrs,9,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,30.31732177734375 +1995,38,0,homicide,18-20 yrs,0,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,other external,18-20 yrs,0,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,internal,18-20 yrs,8,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,26.94873046875 +1995,38,0,all,21-24 yrs,36,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,98.65446472167969 +1995,38,0,MVA,21-24 yrs,14,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,38.365623474121094 +1995,38,0,suicide,21-24 yrs,11,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,30.144418716430664 +1995,38,0,homicide,21-24 yrs,1,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,2.7404017448425293 +1995,38,0,other external,21-24 yrs,4,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,10.961606979370117 +1995,38,0,internal,21-24 yrs,6,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,16.44240951538086 +1996,38,0,MVA,15-17 yrs,8,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,25.7607479095459 +1996,38,0,suicide,15-17 yrs,8,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,25.7607479095459 +1996,38,0,homicide,15-17 yrs,0,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,15-17 yrs,4,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,12.88037395477295 +1996,38,0,internal,15-17 yrs,4,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,12.88037395477295 +1996,38,0,all,18-20 yrs,23,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,75.30860137939453 +1996,38,0,MVA,18-20 yrs,13,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,42.565731048583984 +1996,38,0,suicide,18-20 yrs,5,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,16.371435165405273 +1996,38,0,homicide,18-20 yrs,0,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,18-20 yrs,1,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,3.274286985397339 +1996,38,0,internal,18-20 yrs,4,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,13.097147941589355 +1996,38,0,all,21-24 yrs,24,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,67.16856384277344 +1996,38,0,MVA,21-24 yrs,10,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,27.986902236938477 +1996,38,0,suicide,21-24 yrs,4,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,11.194761276245117 +1996,38,0,homicide,21-24 yrs,0,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,21-24 yrs,4,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,11.194761276245117 +1996,38,0,internal,21-24 yrs,6,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,16.79214096069336 +1970,39,1,MVA,15-17 yrs,215,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,34.059242248535156 +1970,39,1,suicide,15-17 yrs,25,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,3.9603772163391113 +1970,39,1,homicide,15-17 yrs,34,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,5.386113166809082 +1970,39,1,other external,15-17 yrs,94,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,14.89101791381836 +1970,39,1,internal,15-17 yrs,174,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,27.564226150512695 +1970,39,1,all,18-20 yrs,710,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,127.249267578125 +1970,39,1,MVA,18-20 yrs,308,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,55.201087951660156 +1970,39,1,suicide,18-20 yrs,44,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,7.885869979858398 +1970,39,1,homicide,18-20 yrs,58,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,10.395009994506836 +1970,39,1,other external,18-20 yrs,97,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,17.38475799560547 +1970,39,1,internal,18-20 yrs,203,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,36.382537841796875 +1970,39,1,all,21-24 yrs,887,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,134.62075805664062 +1970,39,1,MVA,21-24 yrs,296,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,44.92417526245117 +1970,39,1,suicide,21-24 yrs,85,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,12.90052318572998 +1970,39,1,homicide,21-24 yrs,98,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,14.873544692993164 +1970,39,1,other external,21-24 yrs,109,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,16.54302406311035 +1970,39,1,internal,21-24 yrs,299,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,45.379486083984375 +1971,39,1,MVA,15-17 yrs,150,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,23.34554100036621 +1971,39,1,suicide,15-17 yrs,37,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,5.758566856384277 +1971,39,1,homicide,15-17 yrs,32,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,4.980381965637207 +1971,39,1,other external,15-17 yrs,82,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,12.762228965759277 +1971,39,1,internal,15-17 yrs,162,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,25.213184356689453 +1971,39,1,all,18-20 yrs,681,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,116.81201171875 +1971,39,1,MVA,18-20 yrs,253,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,43.39712142944336 +1971,39,1,suicide,18-20 yrs,54,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,9.262626647949219 +1971,39,1,homicide,18-20 yrs,50,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,8.576505661010742 +1971,39,1,other external,18-20 yrs,116,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,19.897493362426758 +1971,39,1,internal,18-20 yrs,208,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,35.67826461791992 +1971,39,1,all,21-24 yrs,872,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,121.26505279541016 +1971,39,1,MVA,21-24 yrs,272,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,37.8257942199707 +1971,39,1,suicide,21-24 yrs,81,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,11.264299392700195 +1971,39,1,homicide,21-24 yrs,106,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,14.740935325622559 +1971,39,1,other external,21-24 yrs,110,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,15.297196388244629 +1971,39,1,internal,21-24 yrs,303,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,42.13682556152344 +1972,39,1,MVA,15-17 yrs,184,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,28.118820190429688 +1972,39,1,suicide,15-17 yrs,36,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,5.5015082359313965 +1972,39,1,homicide,15-17 yrs,36,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,5.5015082359313965 +1972,39,1,other external,15-17 yrs,96,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,14.67068862915039 +1972,39,1,internal,15-17 yrs,226,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,34.53724670410156 +1972,39,1,all,18-20 yrs,650,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,108.398193359375 +1972,39,1,MVA,18-20 yrs,262,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,43.69281005859375 +1972,39,1,suicide,18-20 yrs,46,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,7.6712565422058105 +1972,39,1,homicide,18-20 yrs,70,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,11.673651695251465 +1972,39,1,other external,18-20 yrs,78,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,13.007782936096191 +1972,39,1,internal,18-20 yrs,194,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,32.352691650390625 +1972,39,1,all,21-24 yrs,910,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,128.45196533203125 +1972,39,1,MVA,21-24 yrs,276,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,38.95906066894531 +1972,39,1,suicide,21-24 yrs,102,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,14.397912979125977 +1972,39,1,homicide,21-24 yrs,116,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,16.37409782409668 +1972,39,1,other external,21-24 yrs,108,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,15.24484920501709 +1972,39,1,internal,21-24 yrs,308,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,43.476051330566406 +1973,39,1,MVA,15-17 yrs,205,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,30.8760986328125 +1973,39,1,suicide,15-17 yrs,31,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,4.669068336486816 +1973,39,1,homicide,15-17 yrs,35,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,5.271528720855713 +1973,39,1,other external,15-17 yrs,100,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,15.061511039733887 +1973,39,1,internal,15-17 yrs,163,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,24.550262451171875 +1973,39,1,all,18-20 yrs,730,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,119.1860122680664 +1973,39,1,MVA,18-20 yrs,295,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,48.164207458496094 +1973,39,1,suicide,18-20 yrs,51,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,8.326693534851074 +1973,39,1,homicide,18-20 yrs,57,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,9.306304931640625 +1973,39,1,other external,18-20 yrs,113,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,18.4493408203125 +1973,39,1,internal,18-20 yrs,214,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,34.93946075439453 +1973,39,1,all,21-24 yrs,929,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,130.01190185546875 +1973,39,1,MVA,21-24 yrs,254,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,35.54684829711914 +1973,39,1,suicide,21-24 yrs,119,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,16.653837203979492 +1973,39,1,homicide,21-24 yrs,118,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,16.51388931274414 +1973,39,1,other external,21-24 yrs,138,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,19.312854766845703 +1973,39,1,internal,21-24 yrs,300,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,41.984466552734375 +1974,39,1,MVA,15-17 yrs,177,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,26.530725479125977 +1974,39,1,suicide,15-17 yrs,26,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,3.8971686363220215 +1974,39,1,homicide,15-17 yrs,36,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,5.3960795402526855 +1974,39,1,other external,15-17 yrs,112,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,16.787803649902344 +1974,39,1,internal,15-17 yrs,176,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,26.380834579467773 +1974,39,1,all,18-20 yrs,730,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,117.28772735595703 +1974,39,1,MVA,18-20 yrs,238,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,38.239013671875 +1974,39,1,suicide,18-20 yrs,75,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,12.050108909606934 +1974,39,1,homicide,18-20 yrs,70,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,11.246768951416016 +1974,39,1,other external,18-20 yrs,137,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,22.011531829833984 +1974,39,1,internal,18-20 yrs,210,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,33.74030685424805 +1974,39,1,all,21-24 yrs,898,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,123.87334442138672 +1974,39,1,MVA,21-24 yrs,219,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,30.209646224975586 +1974,39,1,suicide,21-24 yrs,110,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,15.173794746398926 +1974,39,1,homicide,21-24 yrs,139,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,19.17416000366211 +1974,39,1,other external,21-24 yrs,139,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,19.17416000366211 +1974,39,1,internal,21-24 yrs,291,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,40.14158630371094 +1975,39,1,MVA,15-17 yrs,146,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,22.20711326599121 +1975,39,1,suicide,15-17 yrs,38,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,5.779933452606201 +1975,39,1,homicide,15-17 yrs,42,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,6.388347625732422 +1975,39,1,other external,15-17 yrs,88,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.385108947753906 +1975,39,1,internal,15-17 yrs,151,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,22.96763038635254 +1975,39,1,all,18-20 yrs,719,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,113.27793884277344 +1975,39,1,MVA,18-20 yrs,225,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,35.44858932495117 +1975,39,1,suicide,18-20 yrs,84,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.234140396118164 +1975,39,1,homicide,18-20 yrs,88,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.864337921142578 +1975,39,1,other external,18-20 yrs,130,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,20.481407165527344 +1975,39,1,internal,18-20 yrs,192,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,30.24946403503418 +1975,39,1,all,21-24 yrs,862,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,115.84293365478516 +1975,39,1,MVA,21-24 yrs,194,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,26.071378707885742 +1975,39,1,suicide,21-24 yrs,120,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,16.12662696838379 +1975,39,1,homicide,21-24 yrs,111,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,14.917129516601562 +1975,39,1,other external,21-24 yrs,145,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,19.486339569091797 +1975,39,1,internal,21-24 yrs,292,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,39.241458892822266 +1976,39,1,MVA,15-17 yrs,191,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,29.458988189697266 +1976,39,1,suicide,15-17 yrs,35,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,5.3982439041137695 +1976,39,1,homicide,15-17 yrs,22,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,3.393181800842285 +1976,39,1,other external,15-17 yrs,78,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,12.03037166595459 +1976,39,1,internal,15-17 yrs,134,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,20.66756248474121 +1976,39,1,all,18-20 yrs,710,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,110.89903259277344 +1976,39,1,MVA,18-20 yrs,266,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,41.54808807373047 +1976,39,1,suicide,18-20 yrs,63,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,9.840336799621582 +1976,39,1,homicide,18-20 yrs,85,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,13.276644706726074 +1976,39,1,other external,18-20 yrs,101,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,15.775777816772461 +1976,39,1,internal,18-20 yrs,195,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,30.45818519592285 +1976,39,1,all,21-24 yrs,875,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,115.12809753417969 +1976,39,1,MVA,21-24 yrs,229,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,30.130666732788086 +1976,39,1,suicide,21-24 yrs,125,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,16.446870803833008 +1976,39,1,homicide,21-24 yrs,101,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,13.289071083068848 +1976,39,1,other external,21-24 yrs,144,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,18.946794509887695 +1976,39,1,internal,21-24 yrs,276,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,36.31468963623047 +1977,39,1,MVA,15-17 yrs,166,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,25.948041915893555 +1977,39,1,suicide,15-17 yrs,43,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,6.721480369567871 +1977,39,1,homicide,15-17 yrs,24,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,3.751523971557617 +1977,39,1,other external,15-17 yrs,87,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,13.599274635314941 +1977,39,1,internal,15-17 yrs,138,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,21.571264266967773 +1977,39,1,all,18-20 yrs,733,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,113.92371368408203 +1977,39,1,MVA,18-20 yrs,259,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,40.25408172607422 +1977,39,1,suicide,18-20 yrs,82,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,12.744535446166992 +1977,39,1,homicide,18-20 yrs,73,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,11.345745086669922 +1977,39,1,other external,18-20 yrs,109,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,16.940906524658203 +1977,39,1,internal,18-20 yrs,210,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,32.63844680786133 +1977,39,1,all,21-24 yrs,906,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,117.20826721191406 +1977,39,1,MVA,21-24 yrs,245,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,31.695392608642578 +1977,39,1,suicide,21-24 yrs,132,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,17.076702117919922 +1977,39,1,homicide,21-24 yrs,100,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,12.936895370483398 +1977,39,1,other external,21-24 yrs,117,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,15.136167526245117 +1977,39,1,internal,21-24 yrs,312,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,40.36311340332031 +1978,39,1,MVA,15-17 yrs,192,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,30.401729583740234 +1978,39,1,suicide,15-17 yrs,45,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,7.125405788421631 +1978,39,1,homicide,15-17 yrs,25,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,3.9585585594177246 +1978,39,1,other external,15-17 yrs,67,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.60893726348877 +1978,39,1,internal,15-17 yrs,150,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,23.751352310180664 +1978,39,1,all,18-20 yrs,706,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,111.39828491210938 +1978,39,1,MVA,18-20 yrs,284,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,44.81177520751953 +1978,39,1,suicide,18-20 yrs,69,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.887368202209473 +1978,39,1,homicide,18-20 yrs,66,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.4140043258667 +1978,39,1,other external,18-20 yrs,112,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,17.67224884033203 +1978,39,1,internal,18-20 yrs,175,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,27.612890243530273 +1978,39,1,all,21-24 yrs,972,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,123.24280548095703 +1978,39,1,MVA,21-24 yrs,322,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,40.82735061645508 +1978,39,1,suicide,21-24 yrs,147,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,18.638572692871094 +1978,39,1,homicide,21-24 yrs,111,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,14.074024200439453 +1978,39,1,other external,21-24 yrs,134,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,16.990262985229492 +1978,39,1,internal,21-24 yrs,258,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,32.71259689331055 +1979,39,1,MVA,15-17 yrs,210,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,34.14095687866211 +1979,39,1,suicide,15-17 yrs,30,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,4.877279281616211 +1979,39,1,homicide,15-17 yrs,33,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,5.365007400512695 +1979,39,1,other external,15-17 yrs,77,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,12.518350601196289 +1979,39,1,internal,15-17 yrs,143,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,23.24836540222168 +1979,39,1,all,18-20 yrs,767,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,122.56351470947266 +1979,39,1,MVA,18-20 yrs,313,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,50.01613998413086 +1979,39,1,suicide,18-20 yrs,72,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,11.50531005859375 +1979,39,1,homicide,18-20 yrs,78,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,12.464085578918457 +1979,39,1,other external,18-20 yrs,116,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,18.536333084106445 +1979,39,1,internal,18-20 yrs,188,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,30.041643142700195 +1979,39,1,all,21-24 yrs,995,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,124.3927230834961 +1979,39,1,MVA,21-24 yrs,324,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,40.50577163696289 +1979,39,1,suicide,21-24 yrs,138,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,17.252458572387695 +1979,39,1,homicide,21-24 yrs,125,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,15.627226829528809 +1979,39,1,other external,21-24 yrs,130,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,16.252315521240234 +1979,39,1,internal,21-24 yrs,278,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,34.75495147705078 +1980,39,1,MVA,15-17 yrs,183,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,30.787090301513672 +1980,39,1,suicide,15-17 yrs,38,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,6.392947673797607 +1980,39,1,homicide,15-17 yrs,28,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,4.710592746734619 +1980,39,1,other external,15-17 yrs,83,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,13.963542938232422 +1980,39,1,internal,15-17 yrs,180,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,30.28238296508789 +1980,39,1,all,18-20 yrs,650,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,106.43314361572266 +1980,39,1,MVA,18-20 yrs,262,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,42.9007453918457 +1980,39,1,suicide,18-20 yrs,79,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,12.935721397399902 +1980,39,1,homicide,18-20 yrs,66,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,10.807058334350586 +1980,39,1,other external,18-20 yrs,79,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,12.935721397399902 +1980,39,1,internal,18-20 yrs,164,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,26.853900909423828 +1980,39,1,all,21-24 yrs,959,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,119.65618133544922 +1980,39,1,MVA,21-24 yrs,295,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,36.80768966674805 +1980,39,1,suicide,21-24 yrs,127,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,15.84602165222168 +1980,39,1,homicide,21-24 yrs,119,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,14.847846984863281 +1980,39,1,other external,21-24 yrs,114,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,14.223987579345703 +1980,39,1,internal,21-24 yrs,304,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,37.930633544921875 +1981,39,1,MVA,15-17 yrs,140,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,24.625516891479492 +1981,39,1,suicide,15-17 yrs,34,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,5.980482578277588 +1981,39,1,homicide,15-17 yrs,8,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,1.4071723222732544 +1981,39,1,other external,15-17 yrs,44,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,7.739448070526123 +1981,39,1,internal,15-17 yrs,114,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,20.05220603942871 +1981,39,1,all,18-20 yrs,580,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,96.54454040527344 +1981,39,1,MVA,18-20 yrs,212,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,35.288692474365234 +1981,39,1,suicide,18-20 yrs,74,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.317750930786133 +1981,39,1,homicide,18-20 yrs,54,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,8.988629341125488 +1981,39,1,other external,18-20 yrs,76,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.650663375854492 +1981,39,1,internal,18-20 yrs,164,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,27.298799514770508 +1981,39,1,all,21-24 yrs,850,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,106.58882141113281 +1981,39,1,MVA,21-24 yrs,256,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,32.10204315185547 +1981,39,1,suicide,21-24 yrs,112,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,14.044644355773926 +1981,39,1,homicide,21-24 yrs,88,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,11.035078048706055 +1981,39,1,other external,21-24 yrs,100,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.539860725402832 +1981,39,1,internal,21-24 yrs,294,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,36.867191314697266 +1982,39,0.8798462152481079,MVA,15-17 yrs,130,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,24.02464485168457 +1982,39,0.8798462152481079,suicide,15-17 yrs,34,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,6.283369064331055 +1982,39,0.8798462152481079,homicide,15-17 yrs,18,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,3.3264894485473633 +1982,39,0.8798462152481079,other external,15-17 yrs,48,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,8.870638847351074 +1982,39,0.8798462152481079,internal,15-17 yrs,124,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,22.915815353393555 +1982,39,0.8798462152481079,all,18-20 yrs,532,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,90.85041046142578 +1982,39,0.8798462152481079,MVA,18-20 yrs,178,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,30.397315979003906 +1982,39,0.8798462152481079,suicide,18-20 yrs,86,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,14.686344146728516 +1982,39,0.8798462152481079,homicide,18-20 yrs,46,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,7.8554863929748535 +1982,39,0.8798462152481079,other external,18-20 yrs,60,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,10.246286392211914 +1982,39,0.8798462152481079,internal,18-20 yrs,162,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,27.664974212646484 +1982,39,0.8798462152481079,all,21-24 yrs,812,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,103.44831848144531 +1982,39,0.8798462152481079,MVA,21-24 yrs,216,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,27.518272399902344 +1982,39,0.8798462152481079,suicide,21-24 yrs,128,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,16.307125091552734 +1982,39,0.8798462152481079,homicide,21-24 yrs,90,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,11.465947151184082 +1982,39,0.8798462152481079,other external,21-24 yrs,100,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,12.739940643310547 +1982,39,0.8798462152481079,internal,21-24 yrs,278,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,35.41703414916992 +1983,39,0.680864155292511,MVA,15-17 yrs,120,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,23.09642219543457 +1983,39,0.680864155292511,suicide,15-17 yrs,33,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,6.351515769958496 +1983,39,0.680864155292511,homicide,15-17 yrs,16,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,3.0795228481292725 +1983,39,0.680864155292511,other external,15-17 yrs,39,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,7.5063371658325195 +1983,39,0.680864155292511,internal,15-17 yrs,130,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,25.0211238861084 +1983,39,0.680864155292511,all,18-20 yrs,510,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,89.8835220336914 +1983,39,0.680864155292511,MVA,18-20 yrs,192,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,33.8385009765625 +1983,39,0.680864155292511,suicide,18-20 yrs,62,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,10.927016258239746 +1983,39,0.680864155292511,homicide,18-20 yrs,33,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,5.81599235534668 +1983,39,0.680864155292511,other external,18-20 yrs,58,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,10.222047805786133 +1983,39,0.680864155292511,internal,18-20 yrs,165,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,29.07996368408203 +1983,39,0.680864155292511,all,21-24 yrs,750,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,97.59766387939453 +1983,39,0.680864155292511,MVA,21-24 yrs,224,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,29.149169921875 +1983,39,0.680864155292511,suicide,21-24 yrs,111,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,14.444454193115234 +1983,39,0.680864155292511,homicide,21-24 yrs,68,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,8.848855018615723 +1983,39,0.680864155292511,other external,21-24 yrs,104,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,13.53354263305664 +1983,39,0.680864155292511,internal,21-24 yrs,243,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,31.62164306640625 +1984,39,0.686947226524353,MVA,15-17 yrs,127,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,24.70966148376465 +1984,39,0.686947226524353,suicide,15-17 yrs,41,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.977134704589844 +1984,39,0.686947226524353,homicide,15-17 yrs,14,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,2.7238996028900146 +1984,39,0.686947226524353,other external,15-17 yrs,36,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.0043134689331055 +1984,39,0.686947226524353,internal,15-17 yrs,92,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,17.899911880493164 +1984,39,0.686947226524353,all,18-20 yrs,486,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,89.08229064941406 +1984,39,0.686947226524353,MVA,18-20 yrs,191,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,35.00970458984375 +1984,39,0.686947226524353,suicide,18-20 yrs,63,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,11.547703742980957 +1984,39,0.686947226524353,homicide,18-20 yrs,41,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.515172481536865 +1984,39,0.686947226524353,other external,18-20 yrs,51,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,9.34814167022705 +1984,39,0.686947226524353,internal,18-20 yrs,140,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,25.661563873291016 +1984,39,0.686947226524353,all,21-24 yrs,711,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,94.42632293701172 +1984,39,0.686947226524353,MVA,21-24 yrs,215,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,28.55367088317871 +1984,39,0.686947226524353,suicide,21-24 yrs,113,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,15.007277488708496 +1984,39,0.686947226524353,homicide,21-24 yrs,64,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,8.499696731567383 +1984,39,0.686947226524353,other external,21-24 yrs,93,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,12.351122856140137 +1984,39,0.686947226524353,internal,21-24 yrs,226,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,30.014554977416992 +1985,39,0.6815656423568726,MVA,15-17 yrs,113,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,21.93425178527832 +1985,39,0.6815656423568726,suicide,15-17 yrs,30,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,5.8232526779174805 +1985,39,0.6815656423568726,homicide,15-17 yrs,16,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,3.1057348251342773 +1985,39,0.6815656423568726,other external,15-17 yrs,36,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,6.987903118133545 +1985,39,0.6815656423568726,internal,15-17 yrs,104,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,20.187274932861328 +1985,39,0.6815656423568726,all,18-20 yrs,485,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,92.94695281982422 +1985,39,0.6815656423568726,MVA,18-20 yrs,203,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,38.90357208251953 +1985,39,0.6815656423568726,suicide,18-20 yrs,67,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,12.840094566345215 +1985,39,0.6815656423568726,homicide,18-20 yrs,37,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,7.090798854827881 +1985,39,0.6815656423568726,other external,18-20 yrs,49,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,9.390517234802246 +1985,39,0.6815656423568726,internal,18-20 yrs,129,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,24.721973419189453 +1985,39,0.6815656423568726,all,21-24 yrs,679,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,91.81780242919922 +1985,39,0.6815656423568726,MVA,21-24 yrs,202,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,27.315458297729492 +1985,39,0.6815656423568726,suicide,21-24 yrs,114,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,15.415655136108398 +1985,39,0.6815656423568726,homicide,21-24 yrs,68,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,9.195302963256836 +1985,39,0.6815656423568726,other external,21-24 yrs,86,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,11.629353523254395 +1985,39,0.6815656423568726,internal,21-24 yrs,209,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,28.262033462524414 +1986,39,0.6782891750335693,MVA,15-17 yrs,128,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,24.374685287475586 +1986,39,0.6782891750335693,suicide,15-17 yrs,38,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,7.236234664916992 +1986,39,0.6782891750335693,homicide,15-17 yrs,15,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,2.8564083576202393 +1986,39,0.6782891750335693,other external,15-17 yrs,48,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,9.140506744384766 +1986,39,0.6782891750335693,internal,15-17 yrs,106,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,20.185285568237305 +1986,39,0.6782891750335693,all,18-20 yrs,469,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,93.3169937133789 +1986,39,0.6782891750335693,MVA,18-20 yrs,193,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,38.4012336730957 +1986,39,0.6782891750335693,suicide,18-20 yrs,55,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,10.943357467651367 +1986,39,0.6782891750335693,homicide,18-20 yrs,38,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,7.5608649253845215 +1986,39,0.6782891750335693,other external,18-20 yrs,47,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,9.351595878601074 +1986,39,0.6782891750335693,internal,18-20 yrs,136,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,27.059938430786133 +1986,39,0.6782891750335693,all,21-24 yrs,712,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,99.23995208740234 +1986,39,0.6782891750335693,MVA,21-24 yrs,269,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,37.493743896484375 +1986,39,0.6782891750335693,suicide,21-24 yrs,100,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,13.93819522857666 +1986,39,0.6782891750335693,homicide,21-24 yrs,61,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,8.502299308776855 +1986,39,0.6782891750335693,other external,21-24 yrs,77,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,10.732410430908203 +1986,39,0.6782891750335693,internal,21-24 yrs,205,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,28.573299407958984 +1987,39,0.6388097405433655,MVA,15-17 yrs,153,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,29.55373764038086 +1987,39,0.6388097405433655,suicide,15-17 yrs,41,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,7.919629096984863 +1987,39,0.6388097405433655,homicide,15-17 yrs,21,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,4.056395530700684 +1987,39,0.6388097405433655,other external,15-17 yrs,36,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,6.953820705413818 +1987,39,0.6388097405433655,internal,15-17 yrs,90,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,17.384552001953125 +1987,39,0.6388097405433655,all,18-20 yrs,476,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,95.51385498046875 +1987,39,0.6388097405433655,MVA,18-20 yrs,198,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,39.73055648803711 +1987,39,0.6388097405433655,suicide,18-20 yrs,56,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,11.236924171447754 +1987,39,0.6388097405433655,homicide,18-20 yrs,28,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,5.618462085723877 +1987,39,0.6388097405433655,other external,18-20 yrs,52,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,10.434287071228027 +1987,39,0.6388097405433655,internal,18-20 yrs,142,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,28.493629455566406 +1987,39,0.6388097405433655,all,21-24 yrs,681,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,98.58820343017578 +1987,39,0.6388097405433655,MVA,21-24 yrs,216,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,31.270267486572266 +1987,39,0.6388097405433655,suicide,21-24 yrs,72,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,10.423422813415527 +1987,39,0.6388097405433655,homicide,21-24 yrs,58,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,8.396645545959473 +1987,39,0.6388097405433655,other external,21-24 yrs,79,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,11.436810493469238 +1987,39,0.6388097405433655,internal,21-24 yrs,256,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,37.061058044433594 +1988,39,0.35447701811790466,MVA,15-17 yrs,128,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,25.760177612304688 +1988,39,0.35447701811790466,suicide,15-17 yrs,51,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.26382064819336 +1988,39,0.35447701811790466,homicide,15-17 yrs,15,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,3.018770694732666 +1988,39,0.35447701811790466,other external,15-17 yrs,38,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,7.647552490234375 +1988,39,0.35447701811790466,internal,15-17 yrs,101,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,20.32638931274414 +1988,39,0.35447701811790466,all,18-20 yrs,440,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,87.55330657958984 +1988,39,0.35447701811790466,MVA,18-20 yrs,218,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,43.37868118286133 +1988,39,0.35447701811790466,suicide,18-20 yrs,52,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.347208976745605 +1988,39,0.35447701811790466,homicide,18-20 yrs,27,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,5.372589111328125 +1988,39,0.35447701811790466,other external,18-20 yrs,36,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,7.1634521484375 +1988,39,0.35447701811790466,internal,18-20 yrs,107,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,21.291372299194336 +1988,39,0.35447701811790466,all,21-24 yrs,618,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,92.680633544921875 +1988,39,0.35447701811790466,MVA,21-24 yrs,198,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,29.69379425048828 +1988,39,0.35447701811790466,suicide,21-24 yrs,81,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,12.1474609375 +1988,39,0.35447701811790466,homicide,21-24 yrs,70,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.49780559539795 +1988,39,0.35447701811790466,other external,21-24 yrs,56,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,8.398244857788086 +1988,39,0.35447701811790466,internal,21-24 yrs,213,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,31.943323135375977 +1989,39,0.055193446576595306,MVA,15-17 yrs,115,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,24.703927993774414 +1989,39,0.055193446576595306,suicide,15-17 yrs,39,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,8.377854347229004 +1989,39,0.055193446576595306,homicide,15-17 yrs,15,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,3.2222516536712646 +1989,39,0.055193446576595306,other external,15-17 yrs,30,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,6.444503307342529 +1989,39,0.055193446576595306,internal,15-17 yrs,70,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,15.037174224853516 +1989,39,0.055193446576595306,all,18-20 yrs,476,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,92.45249938964844 +1989,39,0.055193446576595306,MVA,18-20 yrs,200,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,38.84558868408203 +1989,39,0.055193446576595306,suicide,18-20 yrs,66,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,12.81904411315918 +1989,39,0.055193446576595306,homicide,18-20 yrs,57,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,11.070992469787598 +1989,39,0.055193446576595306,other external,18-20 yrs,35,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,6.797977924346924 +1989,39,0.055193446576595306,internal,18-20 yrs,118,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,22.918895721435547 +1989,39,0.055193446576595306,all,21-24 yrs,650,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,101.69629669189453 +1989,39,0.055193446576595306,MVA,21-24 yrs,220,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,34.420284271240234 +1989,39,0.055193446576595306,suicide,21-24 yrs,106,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,16.584318161010742 +1989,39,0.055193446576595306,homicide,21-24 yrs,70,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,10.951909065246582 +1989,39,0.055193446576595306,other external,21-24 yrs,65,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,10.169629096984863 +1989,39,0.055193446576595306,internal,21-24 yrs,189,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,29.570152282714844 +1990,39,0,MVA,15-17 yrs,103,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,22.97194480895996 +1990,39,0,suicide,15-17 yrs,25,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,5.575715065002441 +1990,39,0,homicide,15-17 yrs,38,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,8.475086212158203 +1990,39,0,other external,15-17 yrs,43,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,9.590229988098145 +1990,39,0,internal,15-17 yrs,77,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,17.173202514648438 +1990,39,0,all,18-20 yrs,469,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,91.1832275390625 +1990,39,0,MVA,18-20 yrs,181,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,35.19011306762695 +1990,39,0,suicide,18-20 yrs,66,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,12.831754684448242 +1990,39,0,homicide,18-20 yrs,63,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,12.248493194580078 +1990,39,0,other external,18-20 yrs,39,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,7.582400321960449 +1990,39,0,internal,18-20 yrs,120,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,23.330461502075195 +1990,39,0,all,21-24 yrs,568,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,90.36197662353516 +1990,39,0,MVA,21-24 yrs,166,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,26.408605575561523 +1990,39,0,suicide,21-24 yrs,87,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,13.840654373168945 +1990,39,0,homicide,21-24 yrs,85,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,13.522478103637695 +1990,39,0,other external,21-24 yrs,54,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,8.590750694274902 +1990,39,0,internal,21-24 yrs,176,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,27.99948501586914 +1991,39,0,MVA,15-17 yrs,110,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,24.615936279296875 +1991,39,0,suicide,15-17 yrs,40,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,8.951249122619629 +1991,39,0,homicide,15-17 yrs,35,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,7.832343101501465 +1991,39,0,other external,15-17 yrs,29,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,6.489655494689941 +1991,39,0,internal,15-17 yrs,78,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,17.454936981201172 +1991,39,0,all,18-20 yrs,447,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,90.4118881225586 +1991,39,0,MVA,18-20 yrs,158,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,31.957670211791992 +1991,39,0,suicide,18-20 yrs,53,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,10.719978332519531 +1991,39,0,homicide,18-20 yrs,79,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,15.978835105895996 +1991,39,0,other external,18-20 yrs,33,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,6.674703121185303 +1991,39,0,internal,18-20 yrs,124,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,25.080703735351562 +1991,39,0,all,21-24 yrs,616,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,97.20365905761719 +1991,39,0,MVA,21-24 yrs,184,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,29.03485870361328 +1991,39,0,suicide,21-24 yrs,99,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,15.622016906738281 +1991,39,0,homicide,21-24 yrs,81,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,12.781649589538574 +1991,39,0,other external,21-24 yrs,53,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,8.363302230834961 +1991,39,0,internal,21-24 yrs,199,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,31.401830673217773 +1992,39,0,MVA,15-17 yrs,96,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,21.12824821472168 +1992,39,0,suicide,15-17 yrs,40,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,8.803437232971191 +1992,39,0,homicide,15-17 yrs,26,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,5.722233772277832 +1992,39,0,other external,15-17 yrs,25,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,5.502148151397705 +1992,39,0,internal,15-17 yrs,91,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,20.02781867980957 +1992,39,0,all,18-20 yrs,446,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,95.00559997558594 +1992,39,0,MVA,18-20 yrs,132,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,28.118249893188477 +1992,39,0,suicide,18-20 yrs,62,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,13.207056999206543 +1992,39,0,homicide,18-20 yrs,76,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,16.189294815063477 +1992,39,0,other external,18-20 yrs,50,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,10.65085220336914 +1992,39,0,internal,18-20 yrs,126,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,26.840147018432617 +1992,39,0,all,21-24 yrs,572,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,88.69496154785156 +1992,39,0,MVA,21-24 yrs,147,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,22.793983459472656 +1992,39,0,suicide,21-24 yrs,67,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,10.389095306396484 +1992,39,0,homicide,21-24 yrs,87,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,13.490317344665527 +1992,39,0,other external,21-24 yrs,56,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,8.683423042297363 +1992,39,0,internal,21-24 yrs,215,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,33.338138580322266 +1993,39,0,MVA,15-17 yrs,106,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,23.075984954833984 +1993,39,0,suicide,15-17 yrs,22,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,4.789355278015137 +1993,39,0,homicide,15-17 yrs,36,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,7.837127208709717 +1993,39,0,other external,15-17 yrs,28,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,6.095543384552002 +1993,39,0,internal,15-17 yrs,68,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,14.803462028503418 +1993,39,0,all,18-20 yrs,451,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,98.12773895263672 +1993,39,0,MVA,18-20 yrs,164,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,35.68281555175781 +1993,39,0,suicide,18-20 yrs,60,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,13.054688453674316 +1993,39,0,homicide,18-20 yrs,80,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,17.406251907348633 +1993,39,0,other external,18-20 yrs,37,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,8.05039119720459 +1993,39,0,internal,18-20 yrs,110,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,23.933595657348633 +1993,39,0,all,21-24 yrs,540,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,83.64415740966797 +1993,39,0,MVA,21-24 yrs,148,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,22.92469596862793 +1993,39,0,suicide,21-24 yrs,89,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,13.785796165466309 +1993,39,0,homicide,21-24 yrs,92,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,14.250486373901367 +1993,39,0,other external,21-24 yrs,48,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,7.4350361824035645 +1993,39,0,internal,21-24 yrs,163,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,25.248144149780273 +1994,39,0,MVA,15-17 yrs,94,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,19.907197952270508 +1994,39,0,suicide,15-17 yrs,43,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,9.106484413146973 +1994,39,0,homicide,15-17 yrs,33,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,6.988697528839111 +1994,39,0,other external,15-17 yrs,33,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,6.988697528839111 +1994,39,0,internal,15-17 yrs,75,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,15.883402824401855 +1994,39,0,all,18-20 yrs,367,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,80.448760986328125 +1994,39,0,MVA,18-20 yrs,111,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,24.331912994384766 +1994,39,0,suicide,18-20 yrs,55,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.056353569030762 +1994,39,0,homicide,18-20 yrs,55,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.056353569030762 +1994,39,0,other external,18-20 yrs,25,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,5.480160713195801 +1994,39,0,internal,18-20 yrs,121,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,26.523977279663086 +1994,39,0,all,21-24 yrs,520,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,82.43827056884766 +1994,39,0,MVA,21-24 yrs,124,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,19.658357620239258 +1994,39,0,suicide,21-24 yrs,64,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,10.146248817443848 +1994,39,0,homicide,21-24 yrs,80,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.68281078338623 +1994,39,0,other external,21-24 yrs,47,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,7.451151371002197 +1994,39,0,internal,21-24 yrs,205,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,32.49970245361328 +1995,39,0,MVA,15-17 yrs,114,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,23.464950561523438 +1995,39,0,suicide,15-17 yrs,30,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.174986839294434 +1995,39,0,homicide,15-17 yrs,32,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.586652755737305 +1995,39,0,other external,15-17 yrs,31,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.380819797515869 +1995,39,0,internal,15-17 yrs,91,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,18.730792999267578 +1995,39,0,all,18-20 yrs,414,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,89.56541442871094 +1995,39,0,MVA,18-20 yrs,133,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,28.77342987060547 +1995,39,0,suicide,18-20 yrs,59,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,12.764153480529785 +1995,39,0,homicide,18-20 yrs,54,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,11.682445526123047 +1995,39,0,other external,18-20 yrs,36,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,7.788296699523926 +1995,39,0,internal,18-20 yrs,132,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,28.55708885192871 +1995,39,0,all,21-24 yrs,537,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,88.25907897949219 +1995,39,0,MVA,21-24 yrs,135,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,22.18803596496582 +1995,39,0,suicide,21-24 yrs,81,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,13.312821388244629 +1995,39,0,homicide,21-24 yrs,67,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,11.011839866638184 +1995,39,0,other external,21-24 yrs,55,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,9.039569854736328 +1995,39,0,internal,21-24 yrs,199,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,32.706809997558594 +1996,39,0,MVA,15-17 yrs,99,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,19.963783264160156 +1996,39,0,suicide,15-17 yrs,22,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,4.43639612197876 +1996,39,0,homicide,15-17 yrs,34,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,6.85624885559082 +1996,39,0,other external,15-17 yrs,24,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,4.839704990386963 +1996,39,0,internal,15-17 yrs,74,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,14.922423362731934 +1996,39,0,all,18-20 yrs,362,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,77.69841003417969 +1996,39,0,MVA,18-20 yrs,127,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,27.258834838867188 +1996,39,0,suicide,18-20 yrs,37,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,7.941550254821777 +1996,39,0,homicide,18-20 yrs,59,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,12.663553237915039 +1996,39,0,other external,18-20 yrs,35,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,7.512277126312256 +1996,39,0,internal,18-20 yrs,104,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,22.322195053100586 +1996,39,0,all,21-24 yrs,447,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,76.26060485839844 +1996,39,0,MVA,21-24 yrs,144,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,24.567174911499023 +1996,39,0,suicide,21-24 yrs,50,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,8.530268669128418 +1996,39,0,homicide,21-24 yrs,62,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,10.577533721923828 +1996,39,0,other external,21-24 yrs,32,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,5.459372043609619 +1996,39,0,internal,21-24 yrs,159,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,27.12625503540039 +1970,40,0,MVA,15-17 yrs,59,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,39.76169967651367 +1970,40,0,suicide,15-17 yrs,4,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,2.6957085132598877 +1970,40,0,homicide,15-17 yrs,8,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,5.391417026519775 +1970,40,0,other external,15-17 yrs,41,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,27.631011962890625 +1970,40,0,internal,15-17 yrs,43,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,28.978866577148438 +1970,40,0,all,18-20 yrs,184,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,133.07778930664062 +1970,40,0,MVA,18-20 yrs,84,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,60.75290298461914 +1970,40,0,suicide,18-20 yrs,9,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,6.509239673614502 +1970,40,0,homicide,18-20 yrs,3,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,2.1697463989257812 +1970,40,0,other external,18-20 yrs,40,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,28.92995262145996 +1970,40,0,internal,18-20 yrs,48,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,34.7159423828125 +1970,40,0,all,21-24 yrs,248,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,152.48870849609375 +1970,40,0,MVA,21-24 yrs,96,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,59.02788543701172 +1970,40,0,suicide,21-24 yrs,13,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,7.993359565734863 +1970,40,0,homicide,21-24 yrs,19,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,11.682601928710938 +1970,40,0,other external,21-24 yrs,41,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,25.20982551574707 +1970,40,0,internal,21-24 yrs,79,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,48.57503128051758 +1971,40,0,MVA,15-17 yrs,58,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,38.00611877441406 +1971,40,0,suicide,15-17 yrs,10,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,6.552779197692871 +1971,40,0,homicide,15-17 yrs,1,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,0.6552779078483582 +1971,40,0,other external,15-17 yrs,45,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,29.487506866455078 +1971,40,0,internal,15-17 yrs,45,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,29.487506866455078 +1971,40,0,all,18-20 yrs,206,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,142.30548095703125 +1971,40,0,MVA,18-20 yrs,78,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,53.882659912109375 +1971,40,0,suicide,18-20 yrs,11,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,7.598836898803711 +1971,40,0,homicide,18-20 yrs,10,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,6.90803337097168 +1971,40,0,other external,18-20 yrs,46,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,31.776952743530273 +1971,40,0,internal,18-20 yrs,61,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,42.13900375366211 +1971,40,0,all,21-24 yrs,242,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,135.08157348632812 +1971,40,0,MVA,21-24 yrs,83,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,46.32963180541992 +1971,40,0,suicide,21-24 yrs,21,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,11.721955299377441 +1971,40,0,homicide,21-24 yrs,16,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,8.931013107299805 +1971,40,0,other external,21-24 yrs,49,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,27.351228713989258 +1971,40,0,internal,21-24 yrs,73,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,40.74774932861328 +1972,40,0,MVA,15-17 yrs,58,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,37.27003479003906 +1972,40,0,suicide,15-17 yrs,10,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,6.425868034362793 +1972,40,0,homicide,15-17 yrs,10,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,6.425868034362793 +1972,40,0,other external,15-17 yrs,36,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,23.13312530517578 +1972,40,0,internal,15-17 yrs,34,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,21.847951889038086 +1972,40,0,all,18-20 yrs,184,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,123.10821533203125 +1972,40,0,MVA,18-20 yrs,70,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,46.83464813232422 +1972,40,0,suicide,18-20 yrs,8,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,5.3525309562683105 +1972,40,0,homicide,18-20 yrs,12,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,8.028796195983887 +1972,40,0,other external,18-20 yrs,50,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,33.45331954956055 +1972,40,0,internal,18-20 yrs,44,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,29.438920974731445 +1972,40,0,all,21-24 yrs,224,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,125.74732971191406 +1972,40,0,MVA,21-24 yrs,58,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,32.559574127197266 +1972,40,0,suicide,21-24 yrs,26,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,14.595671653747559 +1972,40,0,homicide,21-24 yrs,22,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,12.350183486938477 +1972,40,0,other external,21-24 yrs,50,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,28.068599700927734 +1972,40,0,internal,21-24 yrs,68,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,38.17329406738281 +1973,40,0,MVA,15-17 yrs,61,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,38.72720718383789 +1973,40,0,suicide,15-17 yrs,8,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,5.078978061676025 +1973,40,0,homicide,15-17 yrs,5,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,3.174361228942871 +1973,40,0,other external,15-17 yrs,39,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,24.76001739501953 +1973,40,0,internal,15-17 yrs,32,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,20.3159122467041 +1973,40,0,all,18-20 yrs,221,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,142.41709899902344 +1973,40,0,MVA,18-20 yrs,97,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,62.50886154174805 +1973,40,0,suicide,18-20 yrs,24,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,15.466110229492188 +1973,40,0,homicide,18-20 yrs,11,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,7.0886335372924805 +1973,40,0,other external,18-20 yrs,45,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,28.99895668029785 +1973,40,0,internal,18-20 yrs,44,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,28.354534149169922 +1973,40,0,all,21-24 yrs,225,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,123.8216323852539 +1973,40,0,MVA,21-24 yrs,78,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,42.92483139038086 +1973,40,0,suicide,21-24 yrs,23,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,12.65732192993164 +1973,40,0,homicide,21-24 yrs,25,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,13.757959365844727 +1973,40,0,other external,21-24 yrs,41,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,22.563053131103516 +1973,40,0,internal,21-24 yrs,58,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,31.91846466064453 +1974,40,0,MVA,15-17 yrs,73,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,45.7904167175293 +1974,40,0,suicide,15-17 yrs,9,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,5.6453938484191895 +1974,40,0,homicide,15-17 yrs,5,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,3.1363298892974854 +1974,40,0,other external,15-17 yrs,27,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,16.936182022094727 +1974,40,0,internal,15-17 yrs,33,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,20.699777603149414 +1974,40,0,all,18-20 yrs,225,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,141.00306701660156 +1974,40,0,MVA,18-20 yrs,80,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,50.134422302246094 +1974,40,0,suicide,18-20 yrs,31,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,19.42708969116211 +1974,40,0,homicide,18-20 yrs,17,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,10.653564453125 +1974,40,0,other external,18-20 yrs,49,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,30.707334518432617 +1974,40,0,internal,18-20 yrs,48,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,30.08065414428711 +1974,40,0,all,21-24 yrs,236,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,127.07027435302734 +1974,40,0,MVA,21-24 yrs,71,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,38.2287712097168 +1974,40,0,suicide,21-24 yrs,33,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,17.768301010131836 +1974,40,0,homicide,21-24 yrs,36,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,19.383602142333984 +1974,40,0,other external,21-24 yrs,44,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,23.691068649291992 +1974,40,0,internal,21-24 yrs,52,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,27.99853515625 +1975,40,0,MVA,15-17 yrs,65,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,40.5955696105957 +1975,40,0,suicide,15-17 yrs,15,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,9.368207931518555 +1975,40,0,homicide,15-17 yrs,16,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,9.992754936218262 +1975,40,0,other external,15-17 yrs,29,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,18.11186981201172 +1975,40,0,internal,15-17 yrs,40,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,24.981887817382812 +1975,40,0,all,18-20 yrs,199,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,122.10761260986328 +1975,40,0,MVA,18-20 yrs,93,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,57.06536865234375 +1975,40,0,suicide,18-20 yrs,29,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,17.79457664489746 +1975,40,0,homicide,18-20 yrs,17,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,10.431303977966309 +1975,40,0,other external,18-20 yrs,28,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,17.180971145629883 +1975,40,0,internal,18-20 yrs,32,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,19.635395050048828 +1975,40,0,all,21-24 yrs,290,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,150.61961364746094 +1975,40,0,MVA,21-24 yrs,87,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,45.18588638305664 +1975,40,0,suicide,21-24 yrs,39,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,20.255741119384766 +1975,40,0,homicide,21-24 yrs,36,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,18.697607040405273 +1975,40,0,other external,21-24 yrs,55,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,28.5657901763916 +1975,40,0,internal,21-24 yrs,73,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,37.91459274291992 +1976,40,0.08493150770664215,MVA,15-17 yrs,86,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,53.023902893066406 +1976,40,0.08493150770664215,suicide,15-17 yrs,7,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,4.31589937210083 +1976,40,0.08493150770664215,homicide,15-17 yrs,2,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,1.2331140041351318 +1976,40,0.08493150770664215,other external,15-17 yrs,26,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,16.03048324584961 +1976,40,0.08493150770664215,internal,15-17 yrs,29,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,17.88015365600586 +1976,40,0.08493150770664215,all,18-20 yrs,217,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,129.4440460205078 +1976,40,0.08493150770664215,MVA,18-20 yrs,94,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,56.07253646850586 +1976,40,0.08493150770664215,suicide,18-20 yrs,20,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,11.930326461791992 +1976,40,0.08493150770664215,homicide,18-20 yrs,14,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,8.351228713989258 +1976,40,0.08493150770664215,other external,18-20 yrs,40,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,23.860652923583984 +1976,40,0.08493150770664215,internal,18-20 yrs,49,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,29.22930145263672 +1976,40,0.08493150770664215,all,21-24 yrs,273,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,135.5309600830078 +1976,40,0.08493150770664215,MVA,21-24 yrs,86,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,42.694732666015625 +1976,40,0.08493150770664215,suicide,21-24 yrs,33,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,16.382862091064453 +1976,40,0.08493150770664215,homicide,21-24 yrs,41,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,20.35446548461914 +1976,40,0.08493150770664215,other external,21-24 yrs,47,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,23.333168029785156 +1976,40,0.08493150770664215,internal,21-24 yrs,66,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,32.765724182128906 +1977,40,1,MVA,15-17 yrs,89,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,54.4655647277832 +1977,40,1,suicide,15-17 yrs,14,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,8.56761646270752 +1977,40,1,homicide,15-17 yrs,10,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,6.119726181030273 +1977,40,1,other external,15-17 yrs,32,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,19.5831241607666 +1977,40,1,internal,15-17 yrs,38,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,23.254959106445312 +1977,40,1,all,18-20 yrs,251,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,148.0738525390625 +1977,40,1,MVA,18-20 yrs,117,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,69.02247619628906 +1977,40,1,suicide,18-20 yrs,29,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,17.108135223388672 +1977,40,1,homicide,18-20 yrs,20,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,11.798713684082031 +1977,40,1,other external,18-20 yrs,47,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,27.726978302001953 +1977,40,1,internal,18-20 yrs,38,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,22.417556762695312 +1977,40,1,all,21-24 yrs,285,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,137.25216674804688 +1977,40,1,MVA,21-24 yrs,111,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,53.45610427856445 +1977,40,1,suicide,21-24 yrs,38,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,18.300289154052734 +1977,40,1,homicide,21-24 yrs,31,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,14.929183006286621 +1977,40,1,other external,21-24 yrs,47,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,22.634567260742188 +1977,40,1,internal,21-24 yrs,58,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,27.93202018737793 +1978,40,1,MVA,15-17 yrs,103,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,62.70966720581055 +1978,40,1,suicide,15-17 yrs,9,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,5.479485511779785 +1978,40,1,homicide,15-17 yrs,14,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,8.52364444732666 +1978,40,1,other external,15-17 yrs,33,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,20.091445922851562 +1978,40,1,internal,15-17 yrs,34,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,20.70027732849121 +1978,40,1,all,18-20 yrs,241,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,141.21066284179688 +1978,40,1,MVA,18-20 yrs,118,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,69.14048767089844 +1978,40,1,suicide,18-20 yrs,30,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,17.57809066772461 +1978,40,1,homicide,18-20 yrs,31,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,18.164026260375977 +1978,40,1,other external,18-20 yrs,26,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,15.234345436096191 +1978,40,1,internal,18-20 yrs,36,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,21.093708038330078 +1978,40,1,all,21-24 yrs,371,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,173.55345153808594 +1978,40,1,MVA,21-24 yrs,139,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,65.0240707397461 +1978,40,1,suicide,21-24 yrs,65,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,30.406938552856445 +1978,40,1,homicide,21-24 yrs,40,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,18.71196174621582 +1978,40,1,other external,21-24 yrs,68,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,31.810335159301758 +1978,40,1,internal,21-24 yrs,59,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,27.600143432617188 +1979,40,1,MVA,15-17 yrs,80,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,49.07283020019531 +1979,40,1,suicide,15-17 yrs,16,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,9.814565658569336 +1979,40,1,homicide,15-17 yrs,10,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,6.134103775024414 +1979,40,1,other external,15-17 yrs,17,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,10.427976608276367 +1979,40,1,internal,15-17 yrs,28,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,17.175491333007812 +1979,40,1,all,18-20 yrs,249,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,142.905517578125 +1979,40,1,MVA,18-20 yrs,121,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,69.44404602050781 +1979,40,1,suicide,18-20 yrs,30,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,17.217531204223633 +1979,40,1,homicide,18-20 yrs,23,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,13.20010757446289 +1979,40,1,other external,18-20 yrs,36,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,20.661039352416992 +1979,40,1,internal,18-20 yrs,39,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,22.38279151916504 +1979,40,1,all,21-24 yrs,322,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,146.6549530029297 +1979,40,1,MVA,21-24 yrs,121,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,55.109466552734375 +1979,40,1,suicide,21-24 yrs,44,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,20.039806365966797 +1979,40,1,homicide,21-24 yrs,41,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,18.6734561920166 +1979,40,1,other external,21-24 yrs,59,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,26.871559143066406 +1979,40,1,internal,21-24 yrs,57,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,25.96065902709961 +1980,40,1,MVA,15-17 yrs,73,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,45.627281188964844 +1980,40,1,suicide,15-17 yrs,10,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,6.250312328338623 +1980,40,1,homicide,15-17 yrs,14,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,8.75043773651123 +1980,40,1,other external,15-17 yrs,32,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,20.000999450683594 +1980,40,1,internal,15-17 yrs,20,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,12.500624656677246 +1980,40,1,all,18-20 yrs,267,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,150.4801788330078 +1980,40,1,MVA,18-20 yrs,137,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,77.212677001953125 +1980,40,1,suicide,18-20 yrs,28,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,15.780693054199219 +1980,40,1,homicide,18-20 yrs,24,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,13.5263090133667 +1980,40,1,other external,18-20 yrs,38,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,21.416654586791992 +1980,40,1,internal,18-20 yrs,40,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,22.543848037719727 +1980,40,1,all,21-24 yrs,336,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,148.40399169921875 +1980,40,1,MVA,21-24 yrs,140,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,61.834999084472656 +1980,40,1,suicide,21-24 yrs,43,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,18.992177963256836 +1980,40,1,homicide,21-24 yrs,35,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,15.458749771118164 +1980,40,1,other external,21-24 yrs,48,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,21.200571060180664 +1980,40,1,internal,21-24 yrs,70,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,30.917499542236328 +1981,40,1,MVA,15-17 yrs,74,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,48.468650817871094 +1981,40,1,suicide,15-17 yrs,12,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,7.859781265258789 +1981,40,1,homicide,15-17 yrs,6,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,3.9298906326293945 +1981,40,1,other external,15-17 yrs,24,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.719562530517578 +1981,40,1,internal,15-17 yrs,32,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,20.95941734313965 +1981,40,1,all,18-20 yrs,252,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,142.07669067382812 +1981,40,1,MVA,18-20 yrs,124,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,69.91075134277344 +1981,40,1,suicide,18-20 yrs,28,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.786298751831055 +1981,40,1,homicide,18-20 yrs,28,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.786298751831055 +1981,40,1,other external,18-20 yrs,34,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,19.169076919555664 +1981,40,1,internal,18-20 yrs,38,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,21.42426300048828 +1981,40,1,all,21-24 yrs,364,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,157.04547119140625 +1981,40,1,MVA,21-24 yrs,144,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,62.12788009643555 +1981,40,1,suicide,21-24 yrs,54,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,23.297954559326172 +1981,40,1,homicide,21-24 yrs,40,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,17.25774383544922 +1981,40,1,other external,21-24 yrs,60,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,25.886615753173828 +1981,40,1,internal,21-24 yrs,66,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,28.475278854370117 +1982,40,1,MVA,15-17 yrs,72,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,48.58922576904297 +1982,40,1,suicide,15-17 yrs,8,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,5.398802757263184 +1982,40,1,homicide,15-17 yrs,10,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,6.748503684997559 +1982,40,1,other external,15-17 yrs,12,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,8.098204612731934 +1982,40,1,internal,15-17 yrs,36,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,24.294612884521484 +1982,40,1,all,18-20 yrs,302,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,169.36985778808594 +1982,40,1,MVA,18-20 yrs,144,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,80.7591323852539 +1982,40,1,suicide,18-20 yrs,30,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,16.824819564819336 +1982,40,1,homicide,18-20 yrs,32,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,17.946474075317383 +1982,40,1,other external,18-20 yrs,54,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,30.28467559814453 +1982,40,1,internal,18-20 yrs,42,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,23.55474853515625 +1982,40,1,all,21-24 yrs,452,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,187.23178100585938 +1982,40,1,MVA,21-24 yrs,212,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,87.816680908203125 +1982,40,1,suicide,21-24 yrs,48,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,19.88302230834961 +1982,40,1,homicide,21-24 yrs,58,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,24.025318145751953 +1982,40,1,other external,21-24 yrs,66,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,27.339155197143555 +1982,40,1,internal,21-24 yrs,68,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,28.167613983154297 +1983,40,0.7232876420021057,MVA,15-17 yrs,44,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,29.962139129638672 +1983,40,0.7232876420021057,suicide,15-17 yrs,9,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,6.128619194030762 +1983,40,0.7232876420021057,homicide,15-17 yrs,4,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,2.7238306999206543 +1983,40,0.7232876420021057,other external,15-17 yrs,26,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,17.70490074157715 +1983,40,0.7232876420021057,internal,15-17 yrs,29,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,19.747774124145508 +1983,40,0.7232876420021057,all,18-20 yrs,223,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,127.64228057861328 +1983,40,0.7232876420021057,MVA,18-20 yrs,92,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,52.65959548950195 +1983,40,0.7232876420021057,suicide,18-20 yrs,28,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,16.026832580566406 +1983,40,0.7232876420021057,homicide,18-20 yrs,20,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,11.447738647460938 +1983,40,0.7232876420021057,other external,18-20 yrs,40,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,22.895477294921875 +1983,40,0.7232876420021057,internal,18-20 yrs,43,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,24.61263656616211 +1983,40,0.7232876420021057,all,21-24 yrs,313,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,128.0126953125 +1983,40,0.7232876420021057,MVA,21-24 yrs,112,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,45.806461334228516 +1983,40,0.7232876420021057,suicide,21-24 yrs,45,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,18.404380798339844 +1983,40,0.7232876420021057,homicide,21-24 yrs,38,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,15.54147720336914 +1983,40,0.7232876420021057,other external,21-24 yrs,51,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,20.858299255371094 +1983,40,0.7232876420021057,internal,21-24 yrs,67,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,27.40207862854004 +1984,40,0,MVA,15-17 yrs,53,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,36.15304183959961 +1984,40,0,suicide,15-17 yrs,12,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,8.18559455871582 +1984,40,0,homicide,15-17 yrs,8,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,5.4570631980896 +1984,40,0,other external,15-17 yrs,19,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,12.960524559020996 +1984,40,0,internal,15-17 yrs,26,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,17.735454559326172 +1984,40,0,all,18-20 yrs,176,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,107.58866882324219 +1984,40,0,MVA,18-20 yrs,81,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,49.51523971557617 +1984,40,0,suicide,18-20 yrs,24,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.671181678771973 +1984,40,0,homicide,18-20 yrs,24,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.671181678771973 +1984,40,0,other external,18-20 yrs,25,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,15.28248119354248 +1984,40,0,internal,18-20 yrs,22,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,13.448583602905273 +1984,40,0,all,21-24 yrs,292,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,121.93390655517578 +1984,40,0,MVA,21-24 yrs,94,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,39.2526969909668 +1984,40,0,suicide,21-24 yrs,35,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.615365028381348 +1984,40,0,homicide,21-24 yrs,41,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,17.12085723876953 +1984,40,0,other external,21-24 yrs,50,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,20.879093170166016 +1984,40,0,internal,21-24 yrs,72,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,30.065895080566406 +1985,40,0,MVA,15-17 yrs,46,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,30.898405075073242 +1985,40,0,suicide,15-17 yrs,17,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,11.418975830078125 +1985,40,0,homicide,15-17 yrs,4,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,2.6868178844451904 +1985,40,0,other external,15-17 yrs,20,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,13.434088706970215 +1985,40,0,internal,15-17 yrs,25,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,16.792612075805664 +1985,40,0,all,18-20 yrs,179,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,117.11287689208984 +1985,40,0,MVA,18-20 yrs,84,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,54.9579963684082 +1985,40,0,suicide,18-20 yrs,23,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,15.048023223876953 +1985,40,0,homicide,18-20 yrs,12,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,7.851142406463623 +1985,40,0,other external,18-20 yrs,29,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,18.973594665527344 +1985,40,0,internal,18-20 yrs,31,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,20.28211784362793 +1985,40,0,all,21-24 yrs,245,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,106.21832275390625 +1985,40,0,MVA,21-24 yrs,84,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,36.41770935058594 +1985,40,0,suicide,21-24 yrs,47,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,20.376577377319336 +1985,40,0,homicide,21-24 yrs,22,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,9.537971496582031 +1985,40,0,other external,21-24 yrs,39,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,16.908222198486328 +1985,40,0,internal,21-24 yrs,53,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,22.977842330932617 +1986,40,0,MVA,15-17 yrs,52,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,34.13417434692383 +1986,40,0,suicide,15-17 yrs,19,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,12.472102165222168 +1986,40,0,homicide,15-17 yrs,8,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,5.251411437988281 +1986,40,0,other external,15-17 yrs,15,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,9.846396446228027 +1986,40,0,internal,15-17 yrs,29,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,19.036365509033203 +1986,40,0,all,18-20 yrs,152,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,104.3125 +1986,40,0,MVA,18-20 yrs,64,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,43.921051025390625 +1986,40,0,suicide,18-20 yrs,25,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,17.156660079956055 +1986,40,0,homicide,18-20 yrs,8,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,5.490131378173828 +1986,40,0,other external,18-20 yrs,14,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,9.6077299118042 +1986,40,0,internal,18-20 yrs,41,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,28.136924743652344 +1986,40,0,all,21-24 yrs,248,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,113.56611633300781 +1986,40,0,MVA,21-24 yrs,98,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,44.876930236816406 +1986,40,0,suicide,21-24 yrs,33,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,15.11161994934082 +1986,40,0,homicide,21-24 yrs,37,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,16.943330764770508 +1986,40,0,other external,21-24 yrs,33,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,15.11161994934082 +1986,40,0,internal,21-24 yrs,47,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,21.52260971069336 +1987,40,0,MVA,15-17 yrs,44,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,29.21181297302246 +1987,40,0,suicide,15-17 yrs,14,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,9.29466724395752 +1987,40,0,homicide,15-17 yrs,7,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,4.64733362197876 +1987,40,0,other external,15-17 yrs,13,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,8.630763053894043 +1987,40,0,internal,15-17 yrs,24,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,15.9337158203125 +1987,40,0,all,18-20 yrs,150,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,104.87017059326172 +1987,40,0,MVA,18-20 yrs,57,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,39.85066604614258 +1987,40,0,suicide,18-20 yrs,30,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,20.97403335571289 +1987,40,0,homicide,18-20 yrs,17,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,11.885286331176758 +1987,40,0,other external,18-20 yrs,15,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,10.487016677856445 +1987,40,0,internal,18-20 yrs,31,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,21.673168182373047 +1987,40,0,all,21-24 yrs,215,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,106.34088134765625 +1987,40,0,MVA,21-24 yrs,72,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,35.61183166503906 +1987,40,0,suicide,21-24 yrs,41,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,20.278959274291992 +1987,40,0,homicide,21-24 yrs,32,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,15.82748031616211 +1987,40,0,other external,21-24 yrs,30,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,14.838262557983398 +1987,40,0,internal,21-24 yrs,40,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,19.784351348876953 +1988,40,0,MVA,15-17 yrs,43,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,29.793455123901367 +1988,40,0,suicide,15-17 yrs,11,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,7.621581554412842 +1988,40,0,homicide,15-17 yrs,10,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,6.928710460662842 +1988,40,0,other external,15-17 yrs,16,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,11.085936546325684 +1988,40,0,internal,15-17 yrs,27,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,18.707517623901367 +1988,40,0,all,18-20 yrs,157,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,109.18169403076172 +1988,40,0,MVA,18-20 yrs,70,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,48.67973709106445 +1988,40,0,suicide,18-20 yrs,22,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,15.299345970153809 +1988,40,0,homicide,18-20 yrs,16,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,11.12679672241211 +1988,40,0,other external,18-20 yrs,18,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,12.517646789550781 +1988,40,0,internal,18-20 yrs,31,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,21.558168411254883 +1988,40,0,all,21-24 yrs,187,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,99.6727294921875 +1988,40,0,MVA,21-24 yrs,74,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,39.442684173583984 +1988,40,0,suicide,21-24 yrs,33,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,17.589305877685547 +1988,40,0,homicide,21-24 yrs,20,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,10.660184860229492 +1988,40,0,other external,21-24 yrs,20,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,10.660184860229492 +1988,40,0,internal,21-24 yrs,40,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,21.320369720458984 +1989,40,0,MVA,15-17 yrs,61,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,44.61118698120117 +1989,40,0,suicide,15-17 yrs,22,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,16.08928108215332 +1989,40,0,homicide,15-17 yrs,9,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,6.5819783210754395 +1989,40,0,other external,15-17 yrs,10,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,7.313309669494629 +1989,40,0,internal,15-17 yrs,29,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,21.20859718322754 +1989,40,0,all,18-20 yrs,153,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,103.4468765258789 +1989,40,0,MVA,18-20 yrs,83,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,56.11824035644531 +1989,40,0,suicide,18-20 yrs,17,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,11.494097709655762 +1989,40,0,homicide,18-20 yrs,16,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,10.817974090576172 +1989,40,0,other external,18-20 yrs,15,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,10.141850471496582 +1989,40,0,internal,18-20 yrs,22,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,14.874713897705078 +1989,40,0,all,21-24 yrs,193,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,108.488525390625 +1989,40,0,MVA,21-24 yrs,65,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,36.5375862121582 +1989,40,0,suicide,21-24 yrs,29,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,16.30138397216797 +1989,40,0,homicide,21-24 yrs,22,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,12.366567611694336 +1989,40,0,other external,21-24 yrs,26,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,14.615034103393555 +1989,40,0,internal,21-24 yrs,51,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,28.667951583862305 +1990,40,0,MVA,15-17 yrs,40,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,29.706867218017578 +1990,40,0,suicide,15-17 yrs,19,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.110761642456055 +1990,40,0,homicide,15-17 yrs,17,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,12.625418663024902 +1990,40,0,other external,15-17 yrs,19,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.110761642456055 +1990,40,0,internal,15-17 yrs,26,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,19.309463500976562 +1990,40,0,all,18-20 yrs,158,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,106.34574127197266 +1990,40,0,MVA,18-20 yrs,73,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,49.13442611694336 +1990,40,0,suicide,18-20 yrs,24,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,16.153783798217773 +1990,40,0,homicide,18-20 yrs,22,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.807635307312012 +1990,40,0,other external,18-20 yrs,14,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,9.423040390014648 +1990,40,0,internal,18-20 yrs,25,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,16.826858520507812 +1990,40,0,all,21-24 yrs,192,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,110.42669677734375 +1990,40,0,MVA,21-24 yrs,68,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,39.10945510864258 +1990,40,0,suicide,21-24 yrs,30,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,17.25417137145996 +1990,40,0,homicide,21-24 yrs,31,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,17.829309463500977 +1990,40,0,other external,21-24 yrs,15,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,8.62708568572998 +1990,40,0,internal,21-24 yrs,48,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,27.606674194335938 +1991,40,0,MVA,15-17 yrs,67,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,49.33144760131836 +1991,40,0,suicide,15-17 yrs,15,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,11.044354438781738 +1991,40,0,homicide,15-17 yrs,13,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,9.571773529052734 +1991,40,0,other external,15-17 yrs,13,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,9.571773529052734 +1991,40,0,internal,15-17 yrs,24,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.67096710205078 +1991,40,0,all,18-20 yrs,187,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,128.82957458496094 +1991,40,0,MVA,18-20 yrs,72,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,49.60283279418945 +1991,40,0,suicide,18-20 yrs,27,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,18.601062774658203 +1991,40,0,homicide,18-20 yrs,31,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,21.356775283813477 +1991,40,0,other external,18-20 yrs,25,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.22320556640625 +1991,40,0,internal,18-20 yrs,32,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,22.045703887939453 +1991,40,0,all,21-24 yrs,179,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,100.99813079833984 +1991,40,0,MVA,21-24 yrs,61,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,34.418357849121094 +1991,40,0,suicide,21-24 yrs,21,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,11.848942756652832 +1991,40,0,homicide,21-24 yrs,27,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,15.234354972839355 +1991,40,0,other external,21-24 yrs,31,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.491296768188477 +1991,40,0,internal,21-24 yrs,39,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,22.00518035888672 +1992,40,0,MVA,15-17 yrs,52,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,37.14206314086914 +1992,40,0,suicide,15-17 yrs,16,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,11.428326606750488 +1992,40,0,homicide,15-17 yrs,14,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,9.999785423278809 +1992,40,0,other external,15-17 yrs,9,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,6.428433895111084 +1992,40,0,internal,15-17 yrs,21,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,14.999678611755371 +1992,40,0,all,18-20 yrs,149,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,105.17919158935547 +1992,40,0,MVA,18-20 yrs,67,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,47.29534149169922 +1992,40,0,suicide,18-20 yrs,26,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,18.353416442871094 +1992,40,0,homicide,18-20 yrs,16,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,11.29440975189209 +1992,40,0,other external,18-20 yrs,10,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,7.059006214141846 +1992,40,0,internal,18-20 yrs,30,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,21.177019119262695 +1992,40,0,all,21-24 yrs,186,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,100.72129821777344 +1992,40,0,MVA,21-24 yrs,47,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,25.451080322265625 +1992,40,0,suicide,21-24 yrs,38,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,20.577468872070312 +1992,40,0,homicide,21-24 yrs,27,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,14.620833396911621 +1992,40,0,other external,21-24 yrs,29,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,15.703857421875 +1992,40,0,internal,21-24 yrs,45,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,24.36805534362793 +1993,40,0,MVA,15-17 yrs,45,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,31.705547332763672 +1993,40,0,suicide,15-17 yrs,14,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.863947868347168 +1993,40,0,homicide,15-17 yrs,13,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.159379959106445 +1993,40,0,other external,15-17 yrs,14,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.863947868347168 +1993,40,0,internal,15-17 yrs,25,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,17.614192962646484 +1993,40,0,all,18-20 yrs,200,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,141.45172119140625 +1993,40,0,MVA,18-20 yrs,90,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,63.65327453613281 +1993,40,0,suicide,18-20 yrs,26,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.388723373413086 +1993,40,0,homicide,18-20 yrs,24,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,16.974206924438477 +1993,40,0,other external,18-20 yrs,23,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,16.26694679260254 +1993,40,0,internal,18-20 yrs,37,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,26.168567657470703 +1993,40,0,all,21-24 yrs,201,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,106.73208618164062 +1993,40,0,MVA,21-24 yrs,65,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,34.515350341796875 +1993,40,0,suicide,21-24 yrs,42,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,22.302227020263672 +1993,40,0,homicide,21-24 yrs,34,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.054183959960938 +1993,40,0,other external,21-24 yrs,25,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,13.275135040283203 +1993,40,0,internal,21-24 yrs,35,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.585189819335938 +1994,40,0,MVA,15-17 yrs,55,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,37.72446060180664 +1994,40,0,suicide,15-17 yrs,15,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,10.28848934173584 +1994,40,0,homicide,15-17 yrs,23,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,15.775683403015137 +1994,40,0,other external,15-17 yrs,24,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,16.46158218383789 +1994,40,0,internal,15-17 yrs,19,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,13.032086372375488 +1994,40,0,all,18-20 yrs,158,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,111.12126922607422 +1994,40,0,MVA,18-20 yrs,59,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,41.494651794433594 +1994,40,0,suicide,18-20 yrs,24,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,16.879180908203125 +1994,40,0,homicide,18-20 yrs,22,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,15.47258186340332 +1994,40,0,other external,18-20 yrs,20,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,14.065983772277832 +1994,40,0,internal,18-20 yrs,33,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,23.208873748779297 +1994,40,0,all,21-24 yrs,220,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,117.60932159423828 +1994,40,0,MVA,21-24 yrs,80,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,42.767024993896484 +1994,40,0,suicide,21-24 yrs,45,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,24.05645179748535 +1994,40,0,homicide,21-24 yrs,21,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,11.226344108581543 +1994,40,0,other external,21-24 yrs,20,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,10.691756248474121 +1994,40,0,internal,21-24 yrs,54,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,28.86774253845215 +1995,40,0,MVA,15-17 yrs,50,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,33.209129333496094 +1995,40,0,suicide,15-17 yrs,14,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,9.298556327819824 +1995,40,0,homicide,15-17 yrs,10,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,6.641826152801514 +1995,40,0,other external,15-17 yrs,12,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,7.970191478729248 +1995,40,0,internal,15-17 yrs,36,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,23.910573959350586 +1995,40,0,all,18-20 yrs,164,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,112.84662628173828 +1995,40,0,MVA,18-20 yrs,57,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,39.22108459472656 +1995,40,0,suicide,18-20 yrs,28,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,19.266496658325195 +1995,40,0,homicide,18-20 yrs,25,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,17.202228546142578 +1995,40,0,other external,18-20 yrs,21,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,14.449872970581055 +1995,40,0,internal,18-20 yrs,33,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,22.70694351196289 +1995,40,0,all,21-24 yrs,216,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,117.60478210449219 +1995,40,0,MVA,21-24 yrs,65,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,35.39032745361328 +1995,40,0,suicide,21-24 yrs,53,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,28.85672950744629 +1995,40,0,homicide,21-24 yrs,28,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,15.245064735412598 +1995,40,0,other external,21-24 yrs,27,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,14.700597763061523 +1995,40,0,internal,21-24 yrs,43,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,23.412063598632812 +1996,40,0,MVA,15-17 yrs,58,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,37.375709533691406 +1996,40,0,suicide,15-17 yrs,13,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,8.377314567565918 +1996,40,0,homicide,15-17 yrs,17,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.954949378967285 +1996,40,0,other external,15-17 yrs,10,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,6.444087982177734 +1996,40,0,internal,15-17 yrs,16,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.310540199279785 +1996,40,0,all,18-20 yrs,165,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,112.1769790649414 +1996,40,0,MVA,18-20 yrs,72,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,48.949954986572266 +1996,40,0,suicide,18-20 yrs,23,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,15.636791229248047 +1996,40,0,homicide,18-20 yrs,25,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,16.996511459350586 +1996,40,0,other external,18-20 yrs,17,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,11.557628631591797 +1996,40,0,internal,18-20 yrs,28,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,19.036094665527344 +1996,40,0,all,21-24 yrs,184,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,101.443359375 +1996,40,0,MVA,21-24 yrs,61,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,33.630680084228516 +1996,40,0,suicide,21-24 yrs,38,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,20.950260162353516 +1996,40,0,homicide,21-24 yrs,29,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,15.98835563659668 +1996,40,0,other external,21-24 yrs,19,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.475130081176758 +1996,40,0,internal,21-24 yrs,37,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,20.398937225341797 +1970,41,0,MVA,15-17 yrs,66,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,51.519432067871094 +1970,41,0,suicide,15-17 yrs,4,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,3.122389793395996 +1970,41,0,homicide,15-17 yrs,2,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,1.561194896697998 +1970,41,0,other external,15-17 yrs,36,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,28.10150909423828 +1970,41,0,internal,15-17 yrs,25,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,19.514936447143555 +1970,41,0,all,18-20 yrs,147,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,134.10450744628906 +1970,41,0,MVA,18-20 yrs,67,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,61.12246322631836 +1970,41,0,suicide,18-20 yrs,13,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,11.859582901000977 +1970,41,0,homicide,18-20 yrs,7,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,6.385929107666016 +1970,41,0,other external,18-20 yrs,28,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,25.543716430664062 +1970,41,0,internal,18-20 yrs,32,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,29.19281768798828 +1970,41,0,all,21-24 yrs,189,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,147.01535034179688 +1970,41,0,MVA,21-24 yrs,90,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,70.00730895996094 +1970,41,0,suicide,21-24 yrs,15,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,11.667885780334473 +1970,41,0,homicide,21-24 yrs,10,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,7.778590202331543 +1970,41,0,other external,21-24 yrs,27,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,21.002193450927734 +1970,41,0,internal,21-24 yrs,47,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,36.55937576293945 +1971,41,0,MVA,15-17 yrs,35,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,27.189111709594727 +1971,41,0,suicide,15-17 yrs,5,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,3.8841588497161865 +1971,41,0,homicide,15-17 yrs,0,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,0 +1971,41,0,other external,15-17 yrs,28,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,21.75128936767578 +1971,41,0,internal,15-17 yrs,22,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,17.090299606323242 +1971,41,0,all,18-20 yrs,186,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,157.86123657226562 +1971,41,0,MVA,18-20 yrs,81,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,68.74602508544922 +1971,41,0,suicide,18-20 yrs,10,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,8.487163543701172 +1971,41,0,homicide,18-20 yrs,6,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,5.0922980308532715 +1971,41,0,other external,18-20 yrs,49,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,41.587100982666016 +1971,41,0,internal,18-20 yrs,40,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,33.94865417480469 +1971,41,0,all,21-24 yrs,239,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,165.6845703125 +1971,41,0,MVA,21-24 yrs,105,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,72.79029083251953 +1971,41,0,suicide,21-24 yrs,30,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,20.79722785949707 +1971,41,0,homicide,21-24 yrs,11,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,7.625649929046631 +1971,41,0,other external,21-24 yrs,48,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,33.27556228637695 +1971,41,0,internal,21-24 yrs,45,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,31.19584083557129 +1972,41,0,MVA,15-17 yrs,58,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,44.58348846435547 +1972,41,0,suicide,15-17 yrs,10,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,7.6868085861206055 +1972,41,0,homicide,15-17 yrs,8,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,6.149446964263916 +1972,41,0,other external,15-17 yrs,28,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,21.52306365966797 +1972,41,0,internal,15-17 yrs,34,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,26.135149002075195 +1972,41,0,all,18-20 yrs,180,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,145.32301330566406 +1972,41,0,MVA,18-20 yrs,70,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,56.51450729370117 +1972,41,0,suicide,18-20 yrs,18,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,14.532301902770996 +1972,41,0,homicide,18-20 yrs,6,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,4.844100475311279 +1972,41,0,other external,18-20 yrs,48,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,38.752803802490234 +1972,41,0,internal,18-20 yrs,38,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,30.679304122924805 +1972,41,0,all,21-24 yrs,222,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,151.95071411132812 +1972,41,0,MVA,21-24 yrs,108,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,73.9219741821289 +1972,41,0,suicide,21-24 yrs,18,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,12.320328712463379 +1972,41,0,homicide,21-24 yrs,20,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,13.689253807067871 +1972,41,0,other external,21-24 yrs,36,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,24.640657424926758 +1972,41,0,internal,21-24 yrs,40,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,27.378507614135742 +1973,41,0,MVA,15-17 yrs,49,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,37.15837097167969 +1973,41,0,suicide,15-17 yrs,7,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,5.308338642120361 +1973,41,0,homicide,15-17 yrs,3,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,2.2750022411346436 +1973,41,0,other external,15-17 yrs,29,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,21.991687774658203 +1973,41,0,internal,15-17 yrs,30,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,22.750022888183594 +1973,41,0,all,18-20 yrs,171,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,135.48739624023438 +1973,41,0,MVA,18-20 yrs,75,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,59.42429733276367 +1973,41,0,suicide,18-20 yrs,18,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,14.261831283569336 +1973,41,0,homicide,18-20 yrs,5,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,3.9616198539733887 +1973,41,0,other external,18-20 yrs,33,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,26.146690368652344 +1973,41,0,internal,18-20 yrs,40,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,31.69295883178711 +1973,41,0,all,21-24 yrs,220,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,145.86441040039062 +1973,41,0,MVA,21-24 yrs,94,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,62.32388687133789 +1973,41,0,suicide,21-24 yrs,33,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,21.879661560058594 +1973,41,0,homicide,21-24 yrs,8,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,5.3041605949401855 +1973,41,0,other external,21-24 yrs,51,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,33.814022064208984 +1973,41,0,internal,21-24 yrs,34,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,22.542682647705078 +1974,41,0,MVA,15-17 yrs,71,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,53.43488311767578 +1974,41,0,suicide,15-17 yrs,9,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,6.773436069488525 +1974,41,0,homicide,15-17 yrs,4,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,3.010416030883789 +1974,41,0,other external,15-17 yrs,26,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,19.567705154418945 +1974,41,0,internal,15-17 yrs,28,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,21.072912216186523 +1974,41,0,all,18-20 yrs,197,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,155.10467529296875 +1974,41,0,MVA,18-20 yrs,75,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,59.05000305175781 +1974,41,0,suicide,18-20 yrs,22,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,17.321334838867188 +1974,41,0,homicide,18-20 yrs,12,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,9.44800090789795 +1974,41,0,other external,18-20 yrs,55,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,43.30333709716797 +1974,41,0,internal,18-20 yrs,33,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,25.98200225830078 +1974,41,0,all,21-24 yrs,254,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,161.93711853027344 +1974,41,0,MVA,21-24 yrs,101,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,64.39231872558594 +1974,41,0,suicide,21-24 yrs,36,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,22.951719284057617 +1974,41,0,homicide,21-24 yrs,18,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,11.475859642028809 +1974,41,0,other external,21-24 yrs,57,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,36.3402214050293 +1974,41,0,internal,21-24 yrs,42,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,26.77700424194336 +1975,41,0,MVA,15-17 yrs,68,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,51.115135192871094 +1975,41,0,suicide,15-17 yrs,7,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,5.261852264404297 +1975,41,0,homicide,15-17 yrs,6,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,4.510159015655518 +1975,41,0,other external,15-17 yrs,34,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,25.557567596435547 +1975,41,0,internal,15-17 yrs,18,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,13.530477523803711 +1975,41,0,all,18-20 yrs,174,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,135.85577392578125 +1975,41,0,MVA,18-20 yrs,77,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,60.12008285522461 +1975,41,0,suicide,18-20 yrs,17,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,13.27326488494873 +1975,41,0,homicide,18-20 yrs,11,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,8.588582992553711 +1975,41,0,other external,18-20 yrs,35,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,27.32731056213379 +1975,41,0,internal,18-20 yrs,34,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,26.54652976989746 +1975,41,0,all,21-24 yrs,238,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,144.25729370117188 +1975,41,0,MVA,21-24 yrs,82,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,49.702091217041016 +1975,41,0,suicide,21-24 yrs,40,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,24.244922637939453 +1975,41,0,homicide,21-24 yrs,14,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,8.485722541809082 +1975,41,0,other external,21-24 yrs,50,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,30.30615234375 +1975,41,0,internal,21-24 yrs,52,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,31.51839828491211 +1976,41,0,MVA,15-17 yrs,60,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,44.3350830078125 +1976,41,0,suicide,15-17 yrs,5,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,3.6945903301239014 +1976,41,0,homicide,15-17 yrs,3,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,2.216754198074341 +1976,41,0,other external,15-17 yrs,34,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,25.123214721679688 +1976,41,0,internal,15-17 yrs,28,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,20.689706802368164 +1976,41,0,all,18-20 yrs,188,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,144.99795532226562 +1976,41,0,MVA,18-20 yrs,95,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,73.2702407836914 +1976,41,0,suicide,18-20 yrs,20,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,15.425314903259277 +1976,41,0,homicide,18-20 yrs,6,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,4.627594470977783 +1976,41,0,other external,18-20 yrs,36,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,27.765565872192383 +1976,41,0,internal,18-20 yrs,31,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,23.909236907958984 +1976,41,0,all,21-24 yrs,201,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,117.00536346435547 +1976,41,0,MVA,21-24 yrs,78,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,45.405067443847656 +1976,41,0,suicide,21-24 yrs,28,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,16.299253463745117 +1976,41,0,homicide,21-24 yrs,17,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,9.895976066589355 +1976,41,0,other external,21-24 yrs,44,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,25.613113403320312 +1976,41,0,internal,21-24 yrs,34,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,19.79195213317871 +1977,41,0,MVA,15-17 yrs,62,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,45.014957427978516 +1977,41,0,suicide,15-17 yrs,10,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,7.260477066040039 +1977,41,0,homicide,15-17 yrs,5,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,3.6302385330200195 +1977,41,0,other external,15-17 yrs,22,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,15.97304916381836 +1977,41,0,internal,15-17 yrs,29,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,21.055383682250977 +1977,41,0,all,18-20 yrs,201,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,152.45521545410156 +1977,41,0,MVA,18-20 yrs,96,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,72.8144302368164 +1977,41,0,suicide,18-20 yrs,19,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,14.411189079284668 +1977,41,0,homicide,18-20 yrs,10,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,7.584836483001709 +1977,41,0,other external,18-20 yrs,44,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,33.3732795715332 +1977,41,0,internal,18-20 yrs,32,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,24.27147674560547 +1977,41,0,all,21-24 yrs,274,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,153.69857788085938 +1977,41,0,MVA,21-24 yrs,105,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,58.89909362792969 +1977,41,0,suicide,21-24 yrs,38,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,21.31586265563965 +1977,41,0,homicide,21-24 yrs,20,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,11.21887493133545 +1977,41,0,other external,21-24 yrs,57,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,31.973793029785156 +1977,41,0,internal,21-24 yrs,54,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,30.29096221923828 +1978,41,0,MVA,15-17 yrs,63,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,45.371070861816406 +1978,41,0,suicide,15-17 yrs,7,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,5.041230201721191 +1978,41,0,homicide,15-17 yrs,4,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,2.8807029724121094 +1978,41,0,other external,15-17 yrs,28,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,20.164920806884766 +1978,41,0,internal,15-17 yrs,14,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,10.082460403442383 +1978,41,0,all,18-20 yrs,209,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,157.06373596191406 +1978,41,0,MVA,18-20 yrs,104,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,78.15612030029297 +1978,41,0,suicide,18-20 yrs,21,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,15.781523704528809 +1978,41,0,homicide,18-20 yrs,10,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,7.515011310577393 +1978,41,0,other external,18-20 yrs,46,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,34.56904983520508 +1978,41,0,internal,18-20 yrs,28,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,21.04203224182129 +1978,41,0,all,21-24 yrs,250,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,136.25241088867188 +1978,41,0,MVA,21-24 yrs,93,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,50.68589401245117 +1978,41,0,suicide,21-24 yrs,37,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,20.165355682373047 +1978,41,0,homicide,21-24 yrs,18,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,9.810173034667969 +1978,41,0,other external,21-24 yrs,63,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,34.33560562133789 +1978,41,0,internal,21-24 yrs,39,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,21.255374908447266 +1979,41,0,MVA,15-17 yrs,53,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,39.12189865112305 +1979,41,0,suicide,15-17 yrs,9,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,6.643341064453125 +1979,41,0,homicide,15-17 yrs,3,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,2.214447021484375 +1979,41,0,other external,15-17 yrs,28,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,20.66817283630371 +1979,41,0,internal,15-17 yrs,16,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,11.810384750366211 +1979,41,0,all,18-20 yrs,162,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,118.74656677246094 +1979,41,0,MVA,18-20 yrs,76,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,55.7082633972168 +1979,41,0,suicide,18-20 yrs,21,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,15.393073081970215 +1979,41,0,homicide,18-20 yrs,14,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,10.262048721313477 +1979,41,0,other external,18-20 yrs,30,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,21.99010467529297 +1979,41,0,internal,18-20 yrs,21,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,15.393073081970215 +1979,41,0,all,21-24 yrs,271,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,144.64288330078125 +1979,41,0,MVA,21-24 yrs,115,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,61.379817962646484 +1979,41,0,suicide,21-24 yrs,42,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,22.416976928710938 +1979,41,0,homicide,21-24 yrs,10,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,5.337375640869141 +1979,41,0,other external,21-24 yrs,62,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,33.09172821044922 +1979,41,0,internal,21-24 yrs,42,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,22.416976928710938 +1980,41,0,MVA,15-17 yrs,54,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,40.817867279052734 +1980,41,0,suicide,15-17 yrs,13,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,9.826523780822754 +1980,41,0,homicide,15-17 yrs,4,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,3.023545980453491 +1980,41,0,other external,15-17 yrs,22,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,16.629501342773438 +1980,41,0,internal,15-17 yrs,19,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,14.36184310913086 +1980,41,0,all,18-20 yrs,187,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,135.02098083496094 +1980,41,0,MVA,18-20 yrs,86,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,62.09520721435547 +1980,41,0,suicide,18-20 yrs,24,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,17.328895568847656 +1980,41,0,homicide,18-20 yrs,13,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,9.38648509979248 +1980,41,0,other external,18-20 yrs,36,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,25.993343353271484 +1980,41,0,internal,18-20 yrs,28,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,20.217044830322266 +1980,41,0,all,21-24 yrs,234,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,122.57084655761719 +1980,41,0,MVA,21-24 yrs,96,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,50.28547668457031 +1980,41,0,suicide,21-24 yrs,35,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,18.3332462310791 +1980,41,0,homicide,21-24 yrs,21,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,10.999947547912598 +1980,41,0,other external,21-24 yrs,41,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,21.47608757019043 +1980,41,0,internal,21-24 yrs,41,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,21.47608757019043 +1981,41,0,MVA,15-17 yrs,46,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,36.181156158447266 +1981,41,0,suicide,15-17 yrs,11,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,8.652015686035156 +1981,41,0,homicide,15-17 yrs,4,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,3.1461875438690186 +1981,41,0,other external,15-17 yrs,26,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,20.450220108032227 +1981,41,0,internal,15-17 yrs,20,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,15.730937957763672 +1981,41,0,all,18-20 yrs,155,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,113.32231903076172 +1981,41,0,MVA,18-20 yrs,63,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,46.06003952026367 +1981,41,0,suicide,18-20 yrs,22,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,16.084457397460938 +1981,41,0,homicide,18-20 yrs,10,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,7.311117172241211 +1981,41,0,other external,18-20 yrs,33,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,24.126686096191406 +1981,41,0,internal,18-20 yrs,27,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,19.74001693725586 +1981,41,0,all,21-24 yrs,227,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,121.9839859008789 +1981,41,0,MVA,21-24 yrs,96,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,51.58794021606445 +1981,41,0,suicide,21-24 yrs,32,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,17.195980072021484 +1981,41,0,homicide,21-24 yrs,19,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,10.210113525390625 +1981,41,0,other external,21-24 yrs,32,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,17.195980072021484 +1981,41,0,internal,21-24 yrs,48,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,25.793970108032227 +1982,41,0,MVA,15-17 yrs,31,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,25.438194274902344 +1982,41,0,suicide,15-17 yrs,12,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,9.84704303741455 +1982,41,0,homicide,15-17 yrs,6,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,4.923521518707275 +1982,41,0,other external,15-17 yrs,15,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,12.30880355834961 +1982,41,0,internal,15-17 yrs,20,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,16.4117374420166 +1982,41,0,all,18-20 yrs,135,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,102.82032012939453 +1982,41,0,MVA,18-20 yrs,64,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,48.744449615478516 +1982,41,0,suicide,18-20 yrs,15,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,11.424480438232422 +1982,41,0,homicide,18-20 yrs,10,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,7.6163201332092285 +1982,41,0,other external,18-20 yrs,23,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,17.517536163330078 +1982,41,0,internal,18-20 yrs,23,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,17.517536163330078 +1982,41,0,all,21-24 yrs,174,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,96.66881561279297 +1982,41,0,MVA,21-24 yrs,66,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,36.66748046875 +1982,41,0,suicide,21-24 yrs,29,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,16.111469268798828 +1982,41,0,homicide,21-24 yrs,18,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,10.000222206115723 +1982,41,0,other external,21-24 yrs,26,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,14.444765090942383 +1982,41,0,internal,21-24 yrs,35,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,19.444875717163086 +1983,41,0,MVA,15-17 yrs,33,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,27.93083381652832 +1983,41,0,suicide,15-17 yrs,6,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,5.078333377838135 +1983,41,0,homicide,15-17 yrs,5,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,4.231944561004639 +1983,41,0,other external,15-17 yrs,17,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,14.38861083984375 +1983,41,0,internal,15-17 yrs,20,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,16.927778244018555 +1983,41,0,all,18-20 yrs,141,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,113.50920867919922 +1983,41,0,MVA,18-20 yrs,64,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,51.521907806396484 +1983,41,0,suicide,18-20 yrs,19,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,15.29556655883789 +1983,41,0,homicide,18-20 yrs,8,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,6.4402384757995605 +1983,41,0,other external,18-20 yrs,20,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,16.100597381591797 +1983,41,0,internal,18-20 yrs,30,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,24.150894165039062 +1983,41,0,all,21-24 yrs,206,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,118.2175521850586 +1983,41,0,MVA,21-24 yrs,82,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,47.057472229003906 +1983,41,0,suicide,21-24 yrs,36,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,20.659378051757812 +1983,41,0,homicide,21-24 yrs,9,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,5.164844512939453 +1983,41,0,other external,21-24 yrs,38,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,21.80712127685547 +1983,41,0,internal,21-24 yrs,41,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,23.528736114501953 +1984,41,0,MVA,15-17 yrs,50,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,42.18448257446289 +1984,41,0,suicide,15-17 yrs,8,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,6.74951696395874 +1984,41,0,homicide,15-17 yrs,2,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,1.687379240989685 +1984,41,0,other external,15-17 yrs,16,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,13.49903392791748 +1984,41,0,internal,15-17 yrs,20,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.87379264831543 +1984,41,0,all,18-20 yrs,139,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,117.10391235351562 +1984,41,0,MVA,18-20 yrs,67,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,56.445770263671875 +1984,41,0,suicide,18-20 yrs,19,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.007009506225586 +1984,41,0,homicide,18-20 yrs,13,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,10.952164649963379 +1984,41,0,other external,18-20 yrs,21,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,17.691957473754883 +1984,41,0,internal,18-20 yrs,19,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.007009506225586 +1984,41,0,all,21-24 yrs,229,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,133.78121948242188 +1984,41,0,MVA,21-24 yrs,91,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,53.16196823120117 +1984,41,0,suicide,21-24 yrs,32,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,18.694318771362305 +1984,41,0,homicide,21-24 yrs,14,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,8.178764343261719 +1984,41,0,other external,21-24 yrs,43,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,25.12049102783203 +1984,41,0,internal,21-24 yrs,49,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,28.625675201416016 +1985,41,0,MVA,15-17 yrs,43,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,35.69827651977539 +1985,41,0,suicide,15-17 yrs,14,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,11.62269401550293 +1985,41,0,homicide,15-17 yrs,2,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,1.6603848934173584 +1985,41,0,other external,15-17 yrs,16,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,13.283079147338867 +1985,41,0,internal,15-17 yrs,20,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.603849411010742 +1985,41,0,all,18-20 yrs,130,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,113.98509216308594 +1985,41,0,MVA,18-20 yrs,60,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,52.60850524902344 +1985,41,0,suicide,18-20 yrs,19,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.659358978271484 +1985,41,0,homicide,18-20 yrs,7,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,6.137659072875977 +1985,41,0,other external,18-20 yrs,26,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,22.79701805114746 +1985,41,0,internal,18-20 yrs,18,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,15.782551765441895 +1985,41,0,all,21-24 yrs,180,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,107.88262176513672 +1985,41,0,MVA,21-24 yrs,78,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,46.74913787841797 +1985,41,0,suicide,21-24 yrs,28,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.781742095947266 +1985,41,0,homicide,21-24 yrs,16,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,9.589566230773926 +1985,41,0,other external,21-24 yrs,25,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,14.983697891235352 +1985,41,0,internal,21-24 yrs,33,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,19.778480529785156 +1986,41,0,MVA,15-17 yrs,53,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,43.3183479309082 +1986,41,0,suicide,15-17 yrs,16,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,13.077237129211426 +1986,41,0,homicide,15-17 yrs,5,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,4.086636543273926 +1986,41,0,other external,15-17 yrs,23,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,18.79852867126465 +1986,41,0,internal,15-17 yrs,15,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,12.259909629821777 +1986,41,0,all,18-20 yrs,126,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,112.91334533691406 +1986,41,0,MVA,18-20 yrs,61,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,54.664398193359375 +1986,41,0,suicide,18-20 yrs,22,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,19.715028762817383 +1986,41,0,homicide,18-20 yrs,12,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,10.75365161895752 +1986,41,0,other external,18-20 yrs,15,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,13.44206428527832 +1986,41,0,internal,18-20 yrs,16,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,14.338202476501465 +1986,41,0,all,21-24 yrs,193,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,120.15115356445312 +1986,41,0,MVA,21-24 yrs,73,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,45.44577407836914 +1986,41,0,suicide,21-24 yrs,29,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,18.053800582885742 +1986,41,0,homicide,21-24 yrs,12,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,7.470538139343262 +1986,41,0,other external,21-24 yrs,40,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,24.90179443359375 +1986,41,0,internal,21-24 yrs,39,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,24.27924919128418 +1987,41,0,MVA,15-17 yrs,55,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,46.118499755859375 +1987,41,0,suicide,15-17 yrs,9,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,7.546663761138916 +1987,41,0,homicide,15-17 yrs,6,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,5.031108856201172 +1987,41,0,other external,15-17 yrs,13,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,10.900735855102539 +1987,41,0,internal,15-17 yrs,20,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.770362854003906 +1987,41,0,all,18-20 yrs,146,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,130.1328887939453 +1987,41,0,MVA,18-20 yrs,81,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,72.19701385498047 +1987,41,0,suicide,18-20 yrs,20,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,17.82642364501953 +1987,41,0,homicide,18-20 yrs,3,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,2.6739635467529297 +1987,41,0,other external,18-20 yrs,23,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,20.50038719177246 +1987,41,0,internal,18-20 yrs,19,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.935102462768555 +1987,41,0,all,21-24 yrs,171,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,110.83887481689453 +1987,41,0,MVA,21-24 yrs,79,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,51.20626449584961 +1987,41,0,suicide,21-24 yrs,29,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,18.7972354888916 +1987,41,0,homicide,21-24 yrs,16,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,10.370888710021973 +1987,41,0,other external,21-24 yrs,21,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,13.611791610717773 +1987,41,0,internal,21-24 yrs,26,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.852693557739258 +1988,41,0,MVA,15-17 yrs,65,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,56.78740692138672 +1988,41,0,suicide,15-17 yrs,11,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,9.610176086425781 +1988,41,0,homicide,15-17 yrs,5,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,4.368261814117432 +1988,41,0,other external,15-17 yrs,20,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,17.473047256469727 +1988,41,0,internal,15-17 yrs,14,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,12.231133460998535 +1988,41,0,all,18-20 yrs,145,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,124.95260620117188 +1988,41,0,MVA,18-20 yrs,85,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,73.248077392578125 +1988,41,0,suicide,18-20 yrs,24,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,20.68181037902832 +1988,41,0,homicide,18-20 yrs,3,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,2.58522629737854 +1988,41,0,other external,18-20 yrs,14,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,12.0643892288208 +1988,41,0,internal,18-20 yrs,19,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,16.37310028076172 +1988,41,0,all,21-24 yrs,181,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,120.2082748413086 +1988,41,0,MVA,21-24 yrs,73,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,48.481788635253906 +1988,41,0,suicide,21-24 yrs,30,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,19.924022674560547 +1988,41,0,homicide,21-24 yrs,21,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,13.946816444396973 +1988,41,0,other external,21-24 yrs,21,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,13.946816444396973 +1988,41,0,internal,21-24 yrs,36,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,23.90882682800293 +1989,41,0,MVA,15-17 yrs,50,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,45.243953704833984 +1989,41,0,suicide,15-17 yrs,13,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,11.763428688049316 +1989,41,0,homicide,15-17 yrs,2,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,1.809758186340332 +1989,41,0,other external,15-17 yrs,7,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,6.334153652191162 +1989,41,0,internal,15-17 yrs,19,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,17.192703247070312 +1989,41,0,all,18-20 yrs,128,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,106.91524505615234 +1989,41,0,MVA,18-20 yrs,56,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,46.775421142578125 +1989,41,0,suicide,18-20 yrs,20,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,16.705507278442383 +1989,41,0,homicide,18-20 yrs,5,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,4.176376819610596 +1989,41,0,other external,18-20 yrs,25,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,20.88188362121582 +1989,41,0,internal,18-20 yrs,22,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,18.37605857849121 +1989,41,0,all,21-24 yrs,175,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,118.5781478881836 +1989,41,0,MVA,21-24 yrs,64,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,43.36572265625 +1989,41,0,suicide,21-24 yrs,40,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,27.10357666015625 +1989,41,0,homicide,21-24 yrs,15,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,10.163841247558594 +1989,41,0,other external,21-24 yrs,20,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,13.551788330078125 +1989,41,0,internal,21-24 yrs,36,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,24.393218994140625 +1990,41,0,MVA,15-17 yrs,50,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,44.000526428222656 +1990,41,0,suicide,15-17 yrs,16,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,14.080168724060059 +1990,41,0,homicide,15-17 yrs,4,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,3.5200421810150146 +1990,41,0,other external,15-17 yrs,11,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,9.680115699768066 +1990,41,0,internal,15-17 yrs,15,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,13.20015811920166 +1990,41,0,all,18-20 yrs,128,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,107.18292999267578 +1990,41,0,MVA,18-20 yrs,61,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,51.07936477661133 +1990,41,0,suicide,18-20 yrs,20,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,16.747333526611328 +1990,41,0,homicide,18-20 yrs,12,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,10.048399925231934 +1990,41,0,other external,18-20 yrs,17,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,14.235233306884766 +1990,41,0,internal,18-20 yrs,18,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,15.072599411010742 +1990,41,0,all,21-24 yrs,168,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,113.13207244873047 +1990,41,0,MVA,21-24 yrs,72,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,48.48517608642578 +1990,41,0,suicide,21-24 yrs,30,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,20.20215606689453 +1990,41,0,homicide,21-24 yrs,14,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,9.42767333984375 +1990,41,0,other external,21-24 yrs,29,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,19.528751373291016 +1990,41,0,internal,21-24 yrs,23,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,15.488319396972656 +1991,41,0,MVA,15-17 yrs,24,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,20.57683753967285 +1991,41,0,suicide,15-17 yrs,15,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,12.860523223876953 +1991,41,0,homicide,15-17 yrs,6,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,5.144209384918213 +1991,41,0,other external,15-17 yrs,15,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,12.860523223876953 +1991,41,0,internal,15-17 yrs,19,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,16.289997100830078 +1991,41,0,all,18-20 yrs,145,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,123.58621978759766 +1991,41,0,MVA,18-20 yrs,63,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,53.69607925415039 +1991,41,0,suicide,18-20 yrs,26,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.160287857055664 +1991,41,0,homicide,18-20 yrs,10,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,8.523187637329102 +1991,41,0,other external,18-20 yrs,20,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,17.046375274658203 +1991,41,0,internal,18-20 yrs,26,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.160287857055664 +1991,41,0,all,21-24 yrs,172,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,112.63990020751953 +1991,41,0,MVA,21-24 yrs,62,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,40.602752685546875 +1991,41,0,suicide,21-24 yrs,30,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,19.646493911743164 +1991,41,0,homicide,21-24 yrs,13,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,8.513481140136719 +1991,41,0,other external,21-24 yrs,32,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,20.956260681152344 +1991,41,0,internal,21-24 yrs,35,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.920909881591797 +1992,41,0,MVA,15-17 yrs,29,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,23.681201934814453 +1992,41,0,suicide,15-17 yrs,20,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,16.331863403320312 +1992,41,0,homicide,15-17 yrs,4,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,3.2663726806640625 +1992,41,0,other external,15-17 yrs,12,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,9.7991180419921875 +1992,41,0,internal,15-17 yrs,18,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,14.698677062988281 +1992,41,0,all,18-20 yrs,105,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,91.33612060546875 +1992,41,0,MVA,18-20 yrs,35,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,30.445371627807617 +1992,41,0,suicide,18-20 yrs,20,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,17.397356033325195 +1992,41,0,homicide,18-20 yrs,12,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,10.438413619995117 +1992,41,0,other external,18-20 yrs,16,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,13.917884826660156 +1992,41,0,internal,18-20 yrs,22,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,19.1370906829834 +1992,41,0,all,21-24 yrs,159,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,101.71768188476562 +1992,41,0,MVA,21-24 yrs,41,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,26.229087829589844 +1992,41,0,suicide,21-24 yrs,37,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,23.67015266418457 +1992,41,0,homicide,21-24 yrs,19,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,12.154943466186523 +1992,41,0,other external,21-24 yrs,33,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,21.111217498779297 +1992,41,0,internal,21-24 yrs,29,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,18.552282333374023 +1993,41,0,MVA,15-17 yrs,30,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,23.74413299560547 +1993,41,0,suicide,15-17 yrs,15,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,11.872066497802734 +1993,41,0,homicide,15-17 yrs,11,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,8.706182479858398 +1993,41,0,other external,15-17 yrs,12,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,9.497653007507324 +1993,41,0,internal,15-17 yrs,24,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,18.99530601501465 +1993,41,0,all,18-20 yrs,103,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,87.15518951416016 +1993,41,0,MVA,18-20 yrs,45,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,38.07750701904297 +1993,41,0,suicide,18-20 yrs,10,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,8.461668968200684 +1993,41,0,homicide,18-20 yrs,11,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,9.307835578918457 +1993,41,0,other external,18-20 yrs,15,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,12.692502975463867 +1993,41,0,internal,18-20 yrs,22,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,18.615671157836914 +1993,41,0,all,21-24 yrs,155,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,97.79673767089844 +1993,41,0,MVA,21-24 yrs,47,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,29.65449333190918 +1993,41,0,suicide,21-24 yrs,33,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,20.821239471435547 +1993,41,0,homicide,21-24 yrs,17,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,10.726093292236328 +1993,41,0,other external,21-24 yrs,24,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,15.142720222473145 +1993,41,0,internal,21-24 yrs,34,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,21.452186584472656 +1994,41,0,MVA,15-17 yrs,30,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,22.77783203125 +1994,41,0,suicide,15-17 yrs,15,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,11.388916015625 +1994,41,0,homicide,15-17 yrs,6,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,4.555566310882568 +1994,41,0,other external,15-17 yrs,12,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,9.111132621765137 +1994,41,0,internal,15-17 yrs,15,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,11.388916015625 +1994,41,0,all,18-20 yrs,112,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,92.0167236328125 +1994,41,0,MVA,18-20 yrs,38,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,31.219961166381836 +1994,41,0,suicide,18-20 yrs,24,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,19.717870712280273 +1994,41,0,homicide,18-20 yrs,19,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,15.609980583190918 +1994,41,0,other external,18-20 yrs,16,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,13.145246505737305 +1994,41,0,internal,18-20 yrs,15,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,12.323668479919434 +1994,41,0,all,21-24 yrs,160,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,101.45524597167969 +1994,41,0,MVA,21-24 yrs,41,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,25.997907638549805 +1994,41,0,suicide,21-24 yrs,37,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,23.46152687072754 +1994,41,0,homicide,21-24 yrs,16,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,10.145524978637695 +1994,41,0,other external,21-24 yrs,31,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,19.656953811645508 +1994,41,0,internal,21-24 yrs,35,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,22.193336486816406 +1995,41,0,MVA,15-17 yrs,35,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,25.534212112426758 +1995,41,0,suicide,15-17 yrs,19,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,13.861429214477539 +1995,41,0,homicide,15-17 yrs,12,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,8.754587173461914 +1995,41,0,other external,15-17 yrs,22,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,16.05007553100586 +1995,41,0,internal,15-17 yrs,20,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,14.590978622436523 +1995,41,0,all,18-20 yrs,139,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,109.03500366210938 +1995,41,0,MVA,18-20 yrs,54,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,42.35892105102539 +1995,41,0,suicide,18-20 yrs,26,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,20.395036697387695 +1995,41,0,homicide,18-20 yrs,12,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,9.413093566894531 +1995,41,0,other external,18-20 yrs,21,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,16.47291374206543 +1995,41,0,internal,18-20 yrs,26,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,20.395036697387695 +1995,41,0,all,21-24 yrs,150,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,96.45806121826172 +1995,41,0,MVA,21-24 yrs,49,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,31.509632110595703 +1995,41,0,suicide,21-24 yrs,39,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,25.0790958404541 +1995,41,0,homicide,21-24 yrs,23,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,14.79023551940918 +1995,41,0,other external,21-24 yrs,18,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,11.574967384338379 +1995,41,0,internal,21-24 yrs,21,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,13.504128456115723 +1996,41,0,MVA,15-17 yrs,33,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.316940307617188 +1996,41,0,suicide,15-17 yrs,13,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,9.18546199798584 +1996,41,0,homicide,15-17 yrs,5,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,3.532869815826416 +1996,41,0,other external,15-17 yrs,12,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,8.478887557983398 +1996,41,0,internal,15-17 yrs,19,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,13.424905776977539 +1996,41,0,all,18-20 yrs,137,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,103.87759399414062 +1996,41,0,MVA,18-20 yrs,57,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,43.21914291381836 +1996,41,0,suicide,18-20 yrs,21,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,15.922842025756836 +1996,41,0,homicide,18-20 yrs,14,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,10.615228652954102 +1996,41,0,other external,18-20 yrs,19,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,14.406381607055664 +1996,41,0,internal,18-20 yrs,26,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,19.7139949798584 +1996,41,0,all,21-24 yrs,167,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,107.21967315673828 +1996,41,0,MVA,21-24 yrs,49,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,31.45966339111328 +1996,41,0,suicide,21-24 yrs,36,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.113222122192383 +1996,41,0,homicide,21-24 yrs,15,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,9.630509376525879 +1996,41,0,other external,21-24 yrs,31,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,19.903053283691406 +1996,41,0,internal,21-24 yrs,36,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.113222122192383 +1970,42,0,MVA,15-17 yrs,168,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,25.02591896057129 +1970,42,0,suicide,15-17 yrs,34,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,5.064769268035889 +1970,42,0,homicide,15-17 yrs,35,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,5.213733196258545 +1970,42,0,other external,15-17 yrs,94,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,14.00259780883789 +1970,42,0,internal,15-17 yrs,168,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,25.02591896057129 +1970,42,0,all,18-20 yrs,678,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,115.32965850830078 +1970,42,0,MVA,18-20 yrs,260,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,44.22671127319336 +1970,42,0,suicide,18-20 yrs,44,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,7.484520435333252 +1970,42,0,homicide,18-20 yrs,59,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,10.036062240600586 +1970,42,0,other external,18-20 yrs,115,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,19.56181526184082 +1970,42,0,internal,18-20 yrs,200,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,34.02054977416992 +1970,42,0,all,21-24 yrs,855,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,127.29199981689453 +1970,42,0,MVA,21-24 yrs,284,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,42.28178787231445 +1970,42,0,suicide,21-24 yrs,91,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,13.5480375289917 +1970,42,0,homicide,21-24 yrs,69,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,10.272687911987305 +1970,42,0,other external,21-24 yrs,124,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,18.461061477661133 +1970,42,0,internal,21-24 yrs,287,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,42.728424072265625 +1971,42,0,MVA,15-17 yrs,151,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,22.225820541381836 +1971,42,0,suicide,15-17 yrs,18,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,2.649435520172119 +1971,42,0,homicide,15-17 yrs,49,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,7.212352275848389 +1971,42,0,other external,15-17 yrs,106,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,15.6022310256958 +1971,42,0,internal,15-17 yrs,198,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,29.14379119873047 +1971,42,0,all,18-20 yrs,667,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,108.22492980957031 +1971,42,0,MVA,18-20 yrs,252,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,40.888580322265625 +1971,42,0,suicide,18-20 yrs,43,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,6.977019786834717 +1971,42,0,homicide,18-20 yrs,63,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,10.222145080566406 +1971,42,0,other external,18-20 yrs,128,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,20.768802642822266 +1971,42,0,internal,18-20 yrs,181,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,29.368385314941406 +1971,42,0,all,21-24 yrs,979,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,131.337646484375 +1971,42,0,MVA,21-24 yrs,328,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,44.0028076171875 +1971,42,0,suicide,21-24 yrs,85,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,11.403166770935059 +1971,42,0,homicide,21-24 yrs,105,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,14.086264610290527 +1971,42,0,other external,21-24 yrs,172,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,23.074642181396484 +1971,42,0,internal,21-24 yrs,289,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,38.77076721191406 +1972,42,0,MVA,15-17 yrs,180,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,26.090965270996094 +1972,42,0,suicide,15-17 yrs,40,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,5.79799222946167 +1972,42,0,homicide,15-17 yrs,40,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,5.79799222946167 +1972,42,0,other external,15-17 yrs,100,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,14.494980812072754 +1972,42,0,internal,15-17 yrs,162,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,23.481868743896484 +1972,42,0,all,18-20 yrs,682,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,107.87571716308594 +1972,42,0,MVA,18-20 yrs,252,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,39.86023712158203 +1972,42,0,suicide,18-20 yrs,66,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,10.43958568572998 +1972,42,0,homicide,18-20 yrs,44,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,6.959723949432373 +1972,42,0,other external,18-20 yrs,130,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,20.562820434570312 +1972,42,0,internal,18-20 yrs,190,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,30.05335235595703 +1972,42,0,all,21-24 yrs,880,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,117.78752136230469 +1972,42,0,MVA,21-24 yrs,258,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,34.53316116333008 +1972,42,0,suicide,21-24 yrs,104,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,13.920343399047852 +1972,42,0,homicide,21-24 yrs,108,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,14.455740928649902 +1972,42,0,other external,21-24 yrs,148,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,19.80971908569336 +1972,42,0,internal,21-24 yrs,262,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,35.06855773925781 +1973,42,0,MVA,15-17 yrs,212,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,30.391780853271484 +1973,42,0,suicide,15-17 yrs,27,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,3.8706514835357666 +1973,42,0,homicide,15-17 yrs,58,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,8.314732551574707 +1973,42,0,other external,15-17 yrs,104,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,14.909175872802734 +1973,42,0,internal,15-17 yrs,172,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,24.65748405456543 +1973,42,0,all,18-20 yrs,726,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,113.64027404785156 +1973,42,0,MVA,18-20 yrs,286,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,44.76738357543945 +1973,42,0,suicide,18-20 yrs,66,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,10.330934524536133 +1973,42,0,homicide,18-20 yrs,68,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,10.64399242401123 +1973,42,0,other external,18-20 yrs,126,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,19.722692489624023 +1973,42,0,internal,18-20 yrs,180,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,28.175275802612305 +1973,42,0,all,21-24 yrs,889,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,117.22015380859375 +1973,42,0,MVA,21-24 yrs,281,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,37.05158996582031 +1973,42,0,suicide,21-24 yrs,97,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,12.790050506591797 +1973,42,0,homicide,21-24 yrs,104,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,13.713044166564941 +1973,42,0,other external,21-24 yrs,156,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,20.56956672668457 +1973,42,0,internal,21-24 yrs,251,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,33.09590530395508 +1974,42,0,MVA,15-17 yrs,203,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,28.971525192260742 +1974,42,0,suicide,15-17 yrs,20,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,2.854337453842163 +1974,42,0,homicide,15-17 yrs,69,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,9.847464561462402 +1974,42,0,other external,15-17 yrs,94,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,13.415386199951172 +1974,42,0,internal,15-17 yrs,165,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,23.54828453063965 +1974,42,0,all,18-20 yrs,732,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,112.992431640625 +1974,42,0,MVA,18-20 yrs,289,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,44.61040115356445 +1974,42,0,suicide,18-20 yrs,59,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,9.10731315612793 +1974,42,0,homicide,18-20 yrs,86,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,13.275067329406738 +1974,42,0,other external,18-20 yrs,136,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,20.99312973022461 +1974,42,0,internal,18-20 yrs,162,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,25.006521224975586 +1974,42,0,all,21-24 yrs,877,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,114.33965301513672 +1974,42,0,MVA,21-24 yrs,260,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,33.89773178100586 +1974,42,0,suicide,21-24 yrs,113,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,14.732475280761719 +1974,42,0,homicide,21-24 yrs,96,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,12.516084671020508 +1974,42,0,other external,21-24 yrs,153,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,19.947509765625 +1974,42,0,internal,21-24 yrs,255,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,33.245849609375 +1975,42,0,MVA,15-17 yrs,157,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,22.619871139526367 +1975,42,0,suicide,15-17 yrs,40,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,5.76302433013916 +1975,42,0,homicide,15-17 yrs,47,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,6.7715535163879395 +1975,42,0,other external,15-17 yrs,98,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,14.119409561157227 +1975,42,0,internal,15-17 yrs,165,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,23.772476196289062 +1975,42,0,all,18-20 yrs,702,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,105.83350372314453 +1975,42,0,MVA,18-20 yrs,255,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,38.44379425048828 +1975,42,0,suicide,18-20 yrs,71,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,10.703958511352539 +1975,42,0,homicide,18-20 yrs,72,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,10.854718208312988 +1975,42,0,other external,18-20 yrs,128,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,19.297277450561523 +1975,42,0,internal,18-20 yrs,176,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,26.533756256103516 +1975,42,0,all,21-24 yrs,902,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,114.81172943115234 +1975,42,0,MVA,21-24 yrs,273,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,34.74900436401367 +1975,42,0,suicide,21-24 yrs,134,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,17.05628776550293 +1975,42,0,homicide,21-24 yrs,88,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,11.201144218444824 +1975,42,0,other external,21-24 yrs,162,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,20.620288848876953 +1975,42,0,internal,21-24 yrs,245,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,31.18500518798828 +1976,42,0,MVA,15-17 yrs,176,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,25.629487991333008 +1976,42,0,suicide,15-17 yrs,26,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,3.7861742973327637 +1976,42,0,homicide,15-17 yrs,45,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,6.552994251251221 +1976,42,0,other external,15-17 yrs,87,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,12.669121742248535 +1976,42,0,internal,15-17 yrs,129,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.785249710083008 +1976,42,0,all,18-20 yrs,691,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,102.49822998046875 +1976,42,0,MVA,18-20 yrs,261,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,38.71495819091797 +1976,42,0,suicide,18-20 yrs,74,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,10.976655006408691 +1976,42,0,homicide,18-20 yrs,62,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,9.196657180786133 +1976,42,0,other external,18-20 yrs,124,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.393314361572266 +1976,42,0,internal,18-20 yrs,170,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,25.21664047241211 +1976,42,0,all,21-24 yrs,883,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,110.77156066894531 +1976,42,0,MVA,21-24 yrs,291,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,36.50569152832031 +1976,42,0,suicide,21-24 yrs,116,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,14.552096366882324 +1976,42,0,homicide,21-24 yrs,102,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,12.795808792114258 +1976,42,0,other external,21-24 yrs,147,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.44101905822754 +1976,42,0,internal,21-24 yrs,227,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,28.476947784423828 +1977,42,0,MVA,15-17 yrs,174,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,25.78350830078125 +1977,42,0,suicide,15-17 yrs,36,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,5.334518909454346 +1977,42,0,homicide,15-17 yrs,33,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,4.889975547790527 +1977,42,0,other external,15-17 yrs,96,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,14.225383758544922 +1977,42,0,internal,15-17 yrs,117,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,17.337186813354492 +1977,42,0,all,18-20 yrs,704,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,103.48542785644531 +1977,42,0,MVA,18-20 yrs,286,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,42.04095458984375 +1977,42,0,suicide,18-20 yrs,91,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,13.376667976379395 +1977,42,0,homicide,18-20 yrs,49,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,7.202821254730225 +1977,42,0,other external,18-20 yrs,134,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,19.697511672973633 +1977,42,0,internal,18-20 yrs,144,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,21.1674747467041 +1977,42,0,all,21-24 yrs,899,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,111.64927673339844 +1977,42,0,MVA,21-24 yrs,293,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,36.38847351074219 +1977,42,0,suicide,21-24 yrs,143,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,17.759563446044922 +1977,42,0,homicide,21-24 yrs,78,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,9.687034606933594 +1977,42,0,other external,21-24 yrs,178,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,22.10630989074707 +1977,42,0,internal,21-24 yrs,207,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,25.70789909362793 +1978,42,0,MVA,15-17 yrs,188,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,28.30455780029297 +1978,42,0,suicide,15-17 yrs,34,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,5.1189093589782715 +1978,42,0,homicide,15-17 yrs,45,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,6.775026798248291 +1978,42,0,other external,15-17 yrs,74,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,11.141155242919922 +1978,42,0,internal,15-17 yrs,142,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,21.37897300720215 +1978,42,0,all,18-20 yrs,676,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,100.68093872070312 +1978,42,0,MVA,18-20 yrs,315,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,46.91493225097656 +1978,42,0,suicide,18-20 yrs,74,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,11.021286010742188 +1978,42,0,homicide,18-20 yrs,70,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,10.425540924072266 +1978,42,0,other external,18-20 yrs,89,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,13.255330085754395 +1978,42,0,internal,18-20 yrs,128,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,19.063846588134766 +1978,42,0,all,21-24 yrs,904,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,110.57211303710938 +1978,42,0,MVA,21-24 yrs,291,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,35.59345626831055 +1978,42,0,suicide,21-24 yrs,134,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,16.390113830566406 +1978,42,0,homicide,21-24 yrs,87,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,10.641343116760254 +1978,42,0,other external,21-24 yrs,160,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,19.57028579711914 +1978,42,0,internal,21-24 yrs,232,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,28.37691307067871 +1979,42,0,MVA,15-17 yrs,177,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,27.19692039489746 +1979,42,0,suicide,15-17 yrs,34,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,5.22426700592041 +1979,42,0,homicide,15-17 yrs,25,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,3.8413727283477783 +1979,42,0,other external,15-17 yrs,68,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,10.44853401184082 +1979,42,0,internal,15-17 yrs,111,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,17.055694580078125 +1979,42,0,all,18-20 yrs,691,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,103.46603393554688 +1979,42,0,MVA,18-20 yrs,320,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,47.9148063659668 +1979,42,0,suicide,18-20 yrs,76,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,11.379766464233398 +1979,42,0,homicide,18-20 yrs,57,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,8.534825325012207 +1979,42,0,other external,18-20 yrs,100,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,14.973377227783203 +1979,42,0,internal,18-20 yrs,138,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,20.66326141357422 +1979,42,0,all,21-24 yrs,930,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,112.00703430175781 +1979,42,0,MVA,21-24 yrs,349,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,42.032745361328125 +1979,42,0,suicide,21-24 yrs,134,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,16.138647079467773 +1979,42,0,homicide,21-24 yrs,93,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,11.200703620910645 +1979,42,0,other external,21-24 yrs,135,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,16.259084701538086 +1979,42,0,internal,21-24 yrs,219,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,26.375850677490234 +1980,42,0,MVA,15-17 yrs,161,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,25.342517852783203 +1980,42,0,suicide,15-17 yrs,44,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,6.925905227661133 +1980,42,0,homicide,15-17 yrs,30,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,4.722208023071289 +1980,42,0,other external,15-17 yrs,57,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,8.972195625305176 +1980,42,0,internal,15-17 yrs,108,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,16.999950408935547 +1980,42,0,all,18-20 yrs,697,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,105.41423797607422 +1980,42,0,MVA,18-20 yrs,309,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,46.7331428527832 +1980,42,0,suicide,18-20 yrs,82,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,12.4016752243042 +1980,42,0,homicide,18-20 yrs,69,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,10.435555458068848 +1980,42,0,other external,18-20 yrs,97,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,14.670273780822754 +1980,42,0,internal,18-20 yrs,140,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,21.17359161376953 +1980,42,0,all,21-24 yrs,1014,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,120.36494445800781 +1980,42,0,MVA,21-24 yrs,359,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,42.614410400390625 +1980,42,0,suicide,21-24 yrs,139,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,16.499731063842773 +1980,42,0,homicide,21-24 yrs,132,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,15.668808937072754 +1980,42,0,other external,21-24 yrs,156,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,18.517683029174805 +1980,42,0,internal,21-24 yrs,228,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,27.064306259155273 +1981,42,0,MVA,15-17 yrs,153,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,24.935867309570312 +1981,42,0,suicide,15-17 yrs,47,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,7.660037517547607 +1981,42,0,homicide,15-17 yrs,38,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,6.1932220458984375 +1981,42,0,other external,15-17 yrs,51,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,8.311955451965332 +1981,42,0,internal,15-17 yrs,109,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,17.764768600463867 +1981,42,0,all,18-20 yrs,631,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,96.92765808105469 +1981,42,0,MVA,18-20 yrs,253,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,38.86322784423828 +1981,42,0,suicide,18-20 yrs,75,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,11.520719528198242 +1981,42,0,homicide,18-20 yrs,59,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,9.062966346740723 +1981,42,0,other external,18-20 yrs,83,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,12.74959659576416 +1981,42,0,internal,18-20 yrs,161,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,24.731143951416016 +1981,42,0,all,21-24 yrs,844,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,99.10675048828125 +1981,42,0,MVA,21-24 yrs,281,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,32.99644088745117 +1981,42,0,suicide,21-24 yrs,112,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,13.151606559753418 +1981,42,0,homicide,21-24 yrs,110,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,12.916756629943848 +1981,42,0,other external,21-24 yrs,142,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,16.674358367919922 +1981,42,0,internal,21-24 yrs,199,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,23.367586135864258 +1982,42,0,MVA,15-17 yrs,128,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,21.827396392822266 +1982,42,0,suicide,15-17 yrs,25,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,4.2631635665893555 +1982,42,0,homicide,15-17 yrs,19,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,3.240004062652588 +1982,42,0,other external,15-17 yrs,49,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,8.35580062866211 +1982,42,0,internal,15-17 yrs,92,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,15.688441276550293 +1982,42,0,all,18-20 yrs,580,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,90.79808044433594 +1982,42,0,MVA,18-20 yrs,227,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,35.53649139404297 +1982,42,0,suicide,18-20 yrs,68,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,10.645292282104492 +1982,42,0,homicide,18-20 yrs,62,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,9.706002235412598 +1982,42,0,other external,18-20 yrs,95,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,14.872099876403809 +1982,42,0,internal,18-20 yrs,128,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,20.038198471069336 +1982,42,0,all,21-24 yrs,835,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,97.90943145751953 +1982,42,0,MVA,21-24 yrs,272,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,31.893850326538086 +1982,42,0,suicide,21-24 yrs,143,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,16.767723083496094 +1982,42,0,homicide,21-24 yrs,99,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,11.608423233032227 +1982,42,0,other external,21-24 yrs,123,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,14.422586441040039 +1982,42,0,internal,21-24 yrs,198,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,23.216846466064453 +1983,42,0,MVA,15-17 yrs,109,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,19.386808395385742 +1983,42,0,suicide,15-17 yrs,38,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,6.758703708648682 +1983,42,0,homicide,15-17 yrs,27,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,4.802236557006836 +1983,42,0,other external,15-17 yrs,40,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,7.114424705505371 +1983,42,0,internal,15-17 yrs,100,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,17.786062240600586 +1983,42,0,all,18-20 yrs,529,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,84.4737548828125 +1983,42,0,MVA,18-20 yrs,223,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,35.609920501708984 +1983,42,0,suicide,18-20 yrs,62,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,9.90051555633545 +1983,42,0,homicide,18-20 yrs,52,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,8.303658485412598 +1983,42,0,other external,18-20 yrs,81,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,12.934544563293457 +1983,42,0,internal,18-20 yrs,111,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,17.725116729736328 +1983,42,0,all,21-24 yrs,765,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,90.82209777832031 +1983,42,0,MVA,21-24 yrs,250,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,29.6804256439209 +1983,42,0,suicide,21-24 yrs,136,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,16.146150588989258 +1983,42,0,homicide,21-24 yrs,73,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,8.6666841506958 +1983,42,0,other external,21-24 yrs,116,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,13.771717071533203 +1983,42,0,internal,21-24 yrs,190,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,22.5571231842041 +1984,42,0,MVA,15-17 yrs,118,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,21.53143310546875 +1984,42,0,suicide,15-17 yrs,35,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,6.386441707611084 +1984,42,0,homicide,15-17 yrs,10,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,1.8246976137161255 +1984,42,0,other external,15-17 yrs,48,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,8.758548736572266 +1984,42,0,internal,15-17 yrs,89,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,16.239809036254883 +1984,42,0,all,18-20 yrs,482,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,79.03556823730469 +1984,42,0,MVA,18-20 yrs,195,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,31.974971771240234 +1984,42,0,suicide,18-20 yrs,69,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,11.314220428466797 +1984,42,0,homicide,18-20 yrs,47,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,7.706788063049316 +1984,42,0,other external,18-20 yrs,65,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,10.658323287963867 +1984,42,0,internal,18-20 yrs,106,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,17.38126564025879 +1984,42,0,all,21-24 yrs,762,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,92.64066314697266 +1984,42,0,MVA,21-24 yrs,244,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,29.66446304321289 +1984,42,0,suicide,21-24 yrs,144,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,17.50689697265625 +1984,42,0,homicide,21-24 yrs,85,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,10.333931922912598 +1984,42,0,other external,21-24 yrs,115,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,13.981202125549316 +1984,42,0,internal,21-24 yrs,174,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,21.15416717529297 +1985,42,0,MVA,15-17 yrs,111,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,20.57140350341797 +1985,42,0,suicide,15-17 yrs,42,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,7.783774375915527 +1985,42,0,homicide,15-17 yrs,12,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,2.22393536567688 +1985,42,0,other external,15-17 yrs,35,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,6.486478328704834 +1985,42,0,internal,15-17 yrs,86,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,15.938203811645508 +1985,42,0,all,18-20 yrs,444,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,76.00397491455078 +1985,42,0,MVA,18-20 yrs,183,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,31.32596206665039 +1985,42,0,suicide,18-20 yrs,68,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,11.64024829864502 +1985,42,0,homicide,18-20 yrs,37,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,6.333664417266846 +1985,42,0,other external,18-20 yrs,57,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,9.757266998291016 +1985,42,0,internal,18-20 yrs,99,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,16.94683074951172 +1985,42,0,all,21-24 yrs,733,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,91.36768341064453 +1985,42,0,MVA,21-24 yrs,269,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,33.53057098388672 +1985,42,0,suicide,21-24 yrs,121,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,15.082524299621582 +1985,42,0,homicide,21-24 yrs,47,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,5.858500957489014 +1985,42,0,other external,21-24 yrs,112,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,13.96068286895752 +1985,42,0,internal,21-24 yrs,184,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,22.935407638549805 +1986,42,0,MVA,15-17 yrs,141,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,25.97914695739746 +1986,42,0,suicide,15-17 yrs,45,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,8.291216850280762 +1986,42,0,homicide,15-17 yrs,22,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,4.053483963012695 +1986,42,0,other external,15-17 yrs,41,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,7.554219722747803 +1986,42,0,internal,15-17 yrs,101,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,18.609176635742188 +1986,42,0,all,18-20 yrs,497,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,88.2142562866211 +1986,42,0,MVA,18-20 yrs,220,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,39.04856491088867 +1986,42,0,suicide,18-20 yrs,63,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,11.182088851928711 +1986,42,0,homicide,18-20 yrs,50,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,8.874673843383789 +1986,42,0,other external,18-20 yrs,57,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,10.117128372192383 +1986,42,0,internal,18-20 yrs,107,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,18.991802215576172 +1986,42,0,all,21-24 yrs,772,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,99.30448150634766 +1986,42,0,MVA,21-24 yrs,287,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,36.917598724365234 +1986,42,0,suicide,21-24 yrs,108,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,13.89233684539795 +1986,42,0,homicide,21-24 yrs,73,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,9.390191078186035 +1986,42,0,other external,21-24 yrs,105,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,13.506438255310059 +1986,42,0,internal,21-24 yrs,199,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,25.597917556762695 +1987,42,0,MVA,15-17 yrs,114,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,21.538654327392578 +1987,42,0,suicide,15-17 yrs,52,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,9.8246488571167 +1987,42,0,homicide,15-17 yrs,19,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,3.589775562286377 +1987,42,0,other external,15-17 yrs,18,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,3.4008400440216064 +1987,42,0,internal,15-17 yrs,84,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,15.870586395263672 +1987,42,0,all,18-20 yrs,505,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,91.00591278076172 +1987,42,0,MVA,18-20 yrs,215,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,38.74509048461914 +1987,42,0,suicide,18-20 yrs,72,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,12.97510051727295 +1987,42,0,homicide,18-20 yrs,50,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,9.010486602783203 +1987,42,0,other external,18-20 yrs,62,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,11.173003196716309 +1987,42,0,internal,18-20 yrs,106,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,19.102231979370117 +1987,42,0,all,21-24 yrs,798,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,106.2770004272461 +1987,42,0,MVA,21-24 yrs,275,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,36.6242790222168 +1987,42,0,suicide,21-24 yrs,117,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,15.581966400146484 +1987,42,0,homicide,21-24 yrs,89,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,11.852949142456055 +1987,42,0,other external,21-24 yrs,102,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,13.584278106689453 +1987,42,0,internal,21-24 yrs,215,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,28.633527755737305 +1988,42,0,MVA,15-17 yrs,114,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,22.582216262817383 +1988,42,0,suicide,15-17 yrs,40,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,7.923584938049316 +1988,42,0,homicide,15-17 yrs,33,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,6.536957740783691 +1988,42,0,other external,15-17 yrs,47,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,9.310212135314941 +1988,42,0,internal,15-17 yrs,68,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,13.470094680786133 +1988,42,0,all,18-20 yrs,494,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,89.21427917480469 +1988,42,0,MVA,18-20 yrs,212,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,38.286293029785156 +1988,42,0,suicide,18-20 yrs,57,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,10.29395580291748 +1988,42,0,homicide,18-20 yrs,61,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,11.016338348388672 +1988,42,0,other external,18-20 yrs,60,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,10.835742950439453 +1988,42,0,internal,18-20 yrs,104,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,18.781953811645508 +1988,42,0,all,21-24 yrs,774,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,106.49744415283203 +1988,42,0,MVA,21-24 yrs,260,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,35.77433395385742 +1988,42,0,suicide,21-24 yrs,135,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,18.575136184692383 +1988,42,0,homicide,21-24 yrs,85,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,11.695455551147461 +1988,42,0,other external,21-24 yrs,89,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,12.245830535888672 +1988,42,0,internal,21-24 yrs,205,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,28.206687927246094 +1989,42,0,MVA,15-17 yrs,100,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,21.24549674987793 +1989,42,0,suicide,15-17 yrs,35,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,7.4359235763549805 +1989,42,0,homicide,15-17 yrs,31,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,6.586103916168213 +1989,42,0,other external,15-17 yrs,42,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,8.923108100891113 +1989,42,0,internal,15-17 yrs,74,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.721667289733887 +1989,42,0,all,18-20 yrs,510,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,91.1459732055664 +1989,42,0,MVA,18-20 yrs,197,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,35.207366943359375 +1989,42,0,suicide,18-20 yrs,76,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,13.582536697387695 +1989,42,0,homicide,18-20 yrs,89,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.905865669250488 +1989,42,0,other external,18-20 yrs,53,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,9.47203254699707 +1989,42,0,internal,18-20 yrs,95,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,16.978172302246094 +1989,42,0,all,21-24 yrs,739,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,106.33919525146484 +1989,42,0,MVA,21-24 yrs,255,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,36.69349670410156 +1989,42,0,suicide,21-24 yrs,105,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.109087944030762 +1989,42,0,homicide,21-24 yrs,109,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.684672355651855 +1989,42,0,other external,21-24 yrs,85,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,12.231165885925293 +1989,42,0,internal,21-24 yrs,185,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,26.620773315429688 +1990,42,0,MVA,15-17 yrs,95,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,20.986080169677734 +1990,42,0,suicide,15-17 yrs,35,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,7.731713771820068 +1990,42,0,homicide,15-17 yrs,43,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,9.49896240234375 +1990,42,0,other external,15-17 yrs,21,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,4.639028549194336 +1990,42,0,internal,15-17 yrs,59,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,13.03346061706543 +1990,42,0,all,18-20 yrs,451,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,81.72303009033203 +1990,42,0,MVA,18-20 yrs,159,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,28.811447143554688 +1990,42,0,suicide,18-20 yrs,79,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,14.315120697021484 +1990,42,0,homicide,18-20 yrs,70,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,12.684284210205078 +1990,42,0,other external,18-20 yrs,47,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,8.51659107208252 +1990,42,0,internal,18-20 yrs,96,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,17.39558982849121 +1990,42,0,all,21-24 yrs,663,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,97.61756896972656 +1990,42,0,MVA,21-24 yrs,199,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,29.29999542236328 +1990,42,0,suicide,21-24 yrs,103,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,15.165324211120605 +1990,42,0,homicide,21-24 yrs,122,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,17.962810516357422 +1990,42,0,other external,21-24 yrs,68,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,10.01205825805664 +1990,42,0,internal,21-24 yrs,171,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,25.177383422851562 +1991,42,0,MVA,15-17 yrs,92,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,20.56702423095703 +1991,42,0,suicide,15-17 yrs,18,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,4.023983001708984 +1991,42,0,homicide,15-17 yrs,31,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,6.930192947387695 +1991,42,0,other external,15-17 yrs,31,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,6.930192947387695 +1991,42,0,internal,15-17 yrs,64,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.3074951171875 +1991,42,0,all,18-20 yrs,453,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,87.40938568115234 +1991,42,0,MVA,18-20 yrs,184,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,35.504032135009766 +1991,42,0,suicide,18-20 yrs,50,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,9.647834777832031 +1991,42,0,homicide,18-20 yrs,77,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.857665061950684 +1991,42,0,other external,18-20 yrs,40,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,7.718267917633057 +1991,42,0,internal,18-20 yrs,102,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,19.681583404541016 +1991,42,0,all,21-24 yrs,689,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,100.11726379394531 +1991,42,0,MVA,21-24 yrs,221,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,32.11308288574219 +1991,42,0,suicide,21-24 yrs,115,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,16.71042823791504 +1991,42,0,homicide,21-24 yrs,100,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.530807495117188 +1991,42,0,other external,21-24 yrs,80,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,11.624646186828613 +1991,42,0,internal,21-24 yrs,173,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,25.138296127319336 +1992,42,0,MVA,15-17 yrs,90,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,19.845075607299805 +1992,42,0,suicide,15-17 yrs,35,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,7.717529773712158 +1992,42,0,homicide,15-17 yrs,49,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,10.80454158782959 +1992,42,0,other external,15-17 yrs,23,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,5.071519374847412 +1992,42,0,internal,15-17 yrs,77,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,16.978565216064453 +1992,42,0,all,18-20 yrs,418,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,87.3043212890625 +1992,42,0,MVA,18-20 yrs,122,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,25.481164932250977 +1992,42,0,suicide,18-20 yrs,71,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,14.829202651977539 +1992,42,0,homicide,18-20 yrs,89,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,18.58871841430664 +1992,42,0,other external,18-20 yrs,43,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,8.981066703796387 +1992,42,0,internal,18-20 yrs,93,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,19.42416763305664 +1992,42,0,all,21-24 yrs,674,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,96.58941650390625 +1992,42,0,MVA,21-24 yrs,187,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,26.798547744750977 +1992,42,0,suicide,21-24 yrs,105,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,15.04731273651123 +1992,42,0,homicide,21-24 yrs,116,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,16.62369728088379 +1992,42,0,other external,21-24 yrs,78,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,11.178004264831543 +1992,42,0,internal,21-24 yrs,188,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,26.941856384277344 +1993,42,0,MVA,15-17 yrs,61,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,13.29416275024414 +1993,42,0,suicide,15-17 yrs,37,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,8.063672065734863 +1993,42,0,homicide,15-17 yrs,57,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.422414779663086 +1993,42,0,other external,15-17 yrs,28,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,6.102238655090332 +1993,42,0,internal,15-17 yrs,70,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,15.255596160888672 +1993,42,0,all,18-20 yrs,429,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,93.35747528076172 +1993,42,0,MVA,18-20 yrs,120,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,26.11397933959961 +1993,42,0,suicide,18-20 yrs,56,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.1865234375 +1993,42,0,homicide,18-20 yrs,114,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,24.808279037475586 +1993,42,0,other external,18-20 yrs,42,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,9.139892578125 +1993,42,0,internal,18-20 yrs,97,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,21.10879898071289 +1993,42,0,all,21-24 yrs,705,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,102.24059295654297 +1993,42,0,MVA,21-24 yrs,184,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,26.68406867980957 +1993,42,0,suicide,21-24 yrs,109,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,15.80741024017334 +1993,42,0,homicide,21-24 yrs,150,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,21.75331687927246 +1993,42,0,other external,21-24 yrs,88,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.761945724487305 +1993,42,0,internal,21-24 yrs,174,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,25.233848571777344 +1994,42,0,MVA,15-17 yrs,86,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,18.273611068725586 +1994,42,0,suicide,15-17 yrs,31,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,6.586999416351318 +1994,42,0,homicide,15-17 yrs,44,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,9.349289894104004 +1994,42,0,other external,15-17 yrs,40,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,8.499354362487793 +1994,42,0,internal,15-17 yrs,67,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,14.236417770385742 +1994,42,0,all,18-20 yrs,378,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,83.5379409790039 +1994,42,0,MVA,18-20 yrs,95,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,20.994985580444336 +1994,42,0,suicide,18-20 yrs,58,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,12.817991256713867 +1994,42,0,homicide,18-20 yrs,75,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,16.574989318847656 +1994,42,0,other external,18-20 yrs,47,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,10.386992454528809 +1994,42,0,internal,18-20 yrs,103,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,22.762985229492188 +1994,42,0,all,21-24 yrs,631,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,95.688262939453125 +1994,42,0,MVA,21-24 yrs,141,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,21.38200569152832 +1994,42,0,suicide,21-24 yrs,115,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,17.439224243164062 +1994,42,0,homicide,21-24 yrs,111,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,16.832643508911133 +1994,42,0,other external,21-24 yrs,90,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,13.648088455200195 +1994,42,0,internal,21-24 yrs,174,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,26.38630485534668 +1995,42,0,MVA,15-17 yrs,90,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,18.68254852294922 +1995,42,0,suicide,15-17 yrs,33,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,6.8502678871154785 +1995,42,0,homicide,15-17 yrs,42,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,8.718522071838379 +1995,42,0,other external,15-17 yrs,33,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,6.8502678871154785 +1995,42,0,internal,15-17 yrs,66,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,13.700535774230957 +1995,42,0,all,18-20 yrs,422,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,92.6470718383789 +1995,42,0,MVA,18-20 yrs,119,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,26.12559700012207 +1995,42,0,suicide,18-20 yrs,54,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,11.85531234741211 +1995,42,0,homicide,18-20 yrs,90,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,19.758853912353516 +1995,42,0,other external,18-20 yrs,49,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,10.757597923278809 +1995,42,0,internal,18-20 yrs,110,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,24.149709701538086 +1995,42,0,all,21-24 yrs,612,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,98.79731750488281 +1995,42,0,MVA,21-24 yrs,158,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,25.506498336791992 +1995,42,0,suicide,21-24 yrs,105,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,16.95052146911621 +1995,42,0,homicide,21-24 yrs,116,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,18.726289749145508 +1995,42,0,other external,21-24 yrs,75,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,12.107514381408691 +1995,42,0,internal,21-24 yrs,158,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,25.506498336791992 +1996,42,0,MVA,15-17 yrs,84,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,17.165311813354492 +1996,42,0,suicide,15-17 yrs,48,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.80875015258789 +1996,42,0,homicide,15-17 yrs,45,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.19570255279541 +1996,42,0,other external,15-17 yrs,37,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,7.560911178588867 +1996,42,0,internal,15-17 yrs,61,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,12.465286254882812 +1996,42,0,all,18-20 yrs,446,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,97.46929168701172 +1996,42,0,MVA,18-20 yrs,120,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,26.22492218017578 +1996,42,0,suicide,18-20 yrs,77,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,16.82765769958496 +1996,42,0,homicide,18-20 yrs,109,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,23.82097053527832 +1996,42,0,other external,18-20 yrs,42,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.178722381591797 +1996,42,0,internal,18-20 yrs,98,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,21.417020797729492 +1996,42,0,all,21-24 yrs,542,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,93.15291595458984 +1996,42,0,MVA,21-24 yrs,145,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,24.920982360839844 +1996,42,0,suicide,21-24 yrs,92,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,15.811934471130371 +1996,42,0,homicide,21-24 yrs,102,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,17.530622482299805 +1996,42,0,other external,21-24 yrs,79,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,13.57763957977295 +1996,42,0,internal,21-24 yrs,124,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,21.311737060546875 +1970,44,0,MVA,15-17 yrs,7,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,13.994961738586426 +1970,44,0,suicide,15-17 yrs,1,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,1.9992802143096924 +1970,44,0,homicide,15-17 yrs,0,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,0 +1970,44,0,other external,15-17 yrs,11,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,21.992082595825195 +1970,44,0,internal,15-17 yrs,10,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,19.992801666259766 +1970,44,0,all,18-20 yrs,49,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,87.46095275878906 +1970,44,0,MVA,18-20 yrs,16,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,28.558679580688477 +1970,44,0,suicide,18-20 yrs,5,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,8.92458724975586 +1970,44,0,homicide,18-20 yrs,3,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,5.354752540588379 +1970,44,0,other external,18-20 yrs,8,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,14.279339790344238 +1970,44,0,internal,18-20 yrs,17,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,30.343597412109375 +1970,44,0,all,21-24 yrs,50,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,73.34819793701172 +1970,44,0,MVA,21-24 yrs,16,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,23.471424102783203 +1970,44,0,suicide,21-24 yrs,5,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,7.334819793701172 +1970,44,0,homicide,21-24 yrs,4,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,5.867856025695801 +1970,44,0,other external,21-24 yrs,7,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,10.268747329711914 +1970,44,0,internal,21-24 yrs,18,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,26.405351638793945 +1971,44,0,MVA,15-17 yrs,10,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,19.21857261657715 +1971,44,0,suicide,15-17 yrs,0,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,0 +1971,44,0,homicide,15-17 yrs,2,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,3.843714475631714 +1971,44,0,other external,15-17 yrs,5,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,9.609286308288574 +1971,44,0,internal,15-17 yrs,14,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,26.906002044677734 +1971,44,0,all,18-20 yrs,63,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,112.22744750976562 +1971,44,0,MVA,18-20 yrs,27,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,48.097476959228516 +1971,44,0,suicide,18-20 yrs,5,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,8.906940460205078 +1971,44,0,homicide,18-20 yrs,2,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,3.5627760887145996 +1971,44,0,other external,18-20 yrs,8,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,14.251104354858398 +1971,44,0,internal,18-20 yrs,21,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,37.409149169921875 +1971,44,0,all,21-24 yrs,66,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,89.44664764404297 +1971,44,0,MVA,21-24 yrs,22,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,29.815549850463867 +1971,44,0,suicide,21-24 yrs,8,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,10.842018127441406 +1971,44,0,homicide,21-24 yrs,9,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,12.197270393371582 +1971,44,0,other external,21-24 yrs,6,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,8.131513595581055 +1971,44,0,internal,21-24 yrs,21,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,28.460298538208008 +1972,44,0.8383561372756958,MVA,15-17 yrs,16,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,29.748071670532227 +1972,44,0.8383561372756958,suicide,15-17 yrs,2,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,3.7185089588165283 +1972,44,0.8383561372756958,homicide,15-17 yrs,0,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,0 +1972,44,0.8383561372756958,other external,15-17 yrs,14,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,26.02956199645996 +1972,44,0.8383561372756958,internal,15-17 yrs,20,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,37.185089111328125 +1972,44,0.8383561372756958,all,18-20 yrs,54,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,94.02259826660156 +1972,44,0.8383561372756958,MVA,18-20 yrs,18,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,31.340866088867188 +1972,44,0.8383561372756958,suicide,18-20 yrs,6,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,10.446955680847168 +1972,44,0.8383561372756958,homicide,18-20 yrs,2,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,3.482318639755249 +1972,44,0.8383561372756958,other external,18-20 yrs,10,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,17.411592483520508 +1972,44,0.8383561372756958,internal,18-20 yrs,18,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,31.340866088867188 +1972,44,0.8383561372756958,all,21-24 yrs,46,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,62.86729431152344 +1972,44,0.8383561372756958,MVA,21-24 yrs,12,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,16.400163650512695 +1972,44,0.8383561372756958,suicide,21-24 yrs,6,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,8.200081825256348 +1972,44,0.8383561372756958,homicide,21-24 yrs,2,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,2.733360767364502 +1972,44,0.8383561372756958,other external,21-24 yrs,8,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,10.933443069458008 +1972,44,0.8383561372756958,internal,21-24 yrs,18,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,24.60024642944336 +1973,44,1,MVA,15-17 yrs,10,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,18.382015228271484 +1973,44,1,suicide,15-17 yrs,1,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,1.8382015228271484 +1973,44,1,homicide,15-17 yrs,1,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,1.8382015228271484 +1973,44,1,other external,15-17 yrs,10,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,18.382015228271484 +1973,44,1,internal,15-17 yrs,15,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.573022842407227 +1973,44,1,all,18-20 yrs,57,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,96.28540802001953 +1973,44,1,MVA,18-20 yrs,25,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,42.23044204711914 +1973,44,1,suicide,18-20 yrs,5,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,8.446088790893555 +1973,44,1,homicide,18-20 yrs,2,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,3.3784353733062744 +1973,44,1,other external,18-20 yrs,16,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.027482986450195 +1973,44,1,internal,18-20 yrs,9,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,15.202959060668945 +1973,44,1,all,21-24 yrs,67,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,92.35137939453125 +1973,44,1,MVA,21-24 yrs,17,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,23.432437896728516 +1973,44,1,suicide,21-24 yrs,11,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,15.162166595458984 +1973,44,1,homicide,21-24 yrs,5,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,6.8918938636779785 +1973,44,1,other external,21-24 yrs,20,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.567575454711914 +1973,44,1,internal,21-24 yrs,14,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,19.29730224609375 +1974,44,1,MVA,15-17 yrs,13,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,24.086116790771484 +1974,44,1,suicide,15-17 yrs,1,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,1.8527781963348389 +1974,44,1,homicide,15-17 yrs,2,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,3.7055563926696777 +1974,44,1,other external,15-17 yrs,7,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,12.96944808959961 +1974,44,1,internal,15-17 yrs,9,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.675004959106445 +1974,44,1,all,18-20 yrs,48,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,86.4568862915039 +1974,44,1,MVA,18-20 yrs,19,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,34.22251892089844 +1974,44,1,suicide,18-20 yrs,6,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,10.807110786437988 +1974,44,1,homicide,18-20 yrs,3,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,5.403555393218994 +1974,44,1,other external,18-20 yrs,11,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,19.813037872314453 +1974,44,1,internal,18-20 yrs,9,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.21066665649414 +1974,44,1,all,21-24 yrs,59,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,89.885589599609375 +1974,44,1,MVA,21-24 yrs,13,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,19.8052978515625 +1974,44,1,suicide,21-24 yrs,8,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,12.187875747680664 +1974,44,1,homicide,21-24 yrs,7,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,10.66439151763916 +1974,44,1,other external,21-24 yrs,11,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.758329391479492 +1974,44,1,internal,21-24 yrs,20,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,30.469690322875977 +1975,44,1,MVA,15-17 yrs,19,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,35.75864791870117 +1975,44,1,suicide,15-17 yrs,8,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,15.056272506713867 +1975,44,1,homicide,15-17 yrs,4,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,7.528136253356934 +1975,44,1,other external,15-17 yrs,6,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,11.292204856872559 +1975,44,1,internal,15-17 yrs,12,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,22.584409713745117 +1975,44,1,all,18-20 yrs,48,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,85.576751708984375 +1975,44,1,MVA,18-20 yrs,18,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,32.09128189086914 +1975,44,1,suicide,18-20 yrs,5,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,8.914244651794434 +1975,44,1,homicide,18-20 yrs,2,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,3.5656979084014893 +1975,44,1,other external,18-20 yrs,9,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,16.04564094543457 +1975,44,1,internal,18-20 yrs,14,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,24.95988655090332 +1975,44,1,all,21-24 yrs,57,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,88.180694580078125 +1975,44,1,MVA,21-24 yrs,16,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,24.75247573852539 +1975,44,1,suicide,21-24 yrs,6,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,9.282177925109863 +1975,44,1,homicide,21-24 yrs,6,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,9.282177925109863 +1975,44,1,other external,21-24 yrs,12,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,18.564355850219727 +1975,44,1,internal,21-24 yrs,17,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,26.29950523376465 +1976,44,1,MVA,15-17 yrs,7,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,13.156905174255371 +1976,44,1,suicide,15-17 yrs,2,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,3.7591159343719482 +1976,44,1,homicide,15-17 yrs,1,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,1.8795579671859741 +1976,44,1,other external,15-17 yrs,5,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,9.39778995513916 +1976,44,1,internal,15-17 yrs,8,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,15.036463737487793 +1976,44,1,all,18-20 yrs,51,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,88.24903869628906 +1976,44,1,MVA,18-20 yrs,25,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,43.25933074951172 +1976,44,1,suicide,18-20 yrs,7,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,12.1126127243042 +1976,44,1,homicide,18-20 yrs,6,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,10.38223934173584 +1976,44,1,other external,18-20 yrs,3,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,5.19111967086792 +1976,44,1,internal,18-20 yrs,10,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,17.30373191833496 +1976,44,1,all,21-24 yrs,53,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,80.19488525390625 +1976,44,1,MVA,21-24 yrs,14,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,21.183555603027344 +1976,44,1,suicide,21-24 yrs,14,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,21.183555603027344 +1976,44,1,homicide,21-24 yrs,4,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,6.0524444580078125 +1976,44,1,other external,21-24 yrs,6,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,9.078666687011719 +1976,44,1,internal,21-24 yrs,15,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,22.696666717529297 +1977,44,1,MVA,15-17 yrs,13,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,24.46183967590332 +1977,44,1,suicide,15-17 yrs,4,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,7.52672004699707 +1977,44,1,homicide,15-17 yrs,3,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.645040035247803 +1977,44,1,other external,15-17 yrs,3,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.645040035247803 +1977,44,1,internal,15-17 yrs,8,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,15.05344009399414 +1977,44,1,all,18-20 yrs,52,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,88.18341827392578 +1977,44,1,MVA,18-20 yrs,20,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,33.91670227050781 +1977,44,1,suicide,18-20 yrs,13,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,22.045854568481445 +1977,44,1,homicide,18-20 yrs,1,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,1.695834994316101 +1977,44,1,other external,18-20 yrs,13,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,22.045854568481445 +1977,44,1,internal,18-20 yrs,5,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,8.479175567626953 +1977,44,1,all,21-24 yrs,69,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,102.4848861694336 +1977,44,1,MVA,21-24 yrs,20,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,29.705764770507812 +1977,44,1,suicide,21-24 yrs,12,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,17.823457717895508 +1977,44,1,homicide,21-24 yrs,4,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.941153049468994 +1977,44,1,other external,21-24 yrs,14,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,20.794034957885742 +1977,44,1,internal,21-24 yrs,19,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,28.220476150512695 +1978,44,1,MVA,15-17 yrs,11,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,20.77549171447754 +1978,44,1,suicide,15-17 yrs,1,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,1.888681173324585 +1978,44,1,homicide,15-17 yrs,2,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,3.77736234664917 +1978,44,1,other external,15-17 yrs,3,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.666043281555176 +1978,44,1,internal,15-17 yrs,6,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,11.332086563110352 +1978,44,1,all,18-20 yrs,46,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,77.94364166259766 +1978,44,1,MVA,18-20 yrs,25,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,42.36067581176758 +1978,44,1,suicide,18-20 yrs,3,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.08328104019165 +1978,44,1,homicide,18-20 yrs,0,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,0 +1978,44,1,other external,18-20 yrs,3,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.08328104019165 +1978,44,1,internal,18-20 yrs,15,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,25.416404724121094 +1978,44,1,all,21-24 yrs,71,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,102.8061752319336 +1978,44,1,MVA,21-24 yrs,24,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,34.751380920410156 +1978,44,1,suicide,21-24 yrs,14,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,20.27164077758789 +1978,44,1,homicide,21-24 yrs,8,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,11.583794593811035 +1978,44,1,other external,21-24 yrs,12,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,17.375690460205078 +1978,44,1,internal,21-24 yrs,13,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,18.823665618896484 +1979,44,1,MVA,15-17 yrs,20,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,38.57503890991211 +1979,44,1,suicide,15-17 yrs,3,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,5.786255836486816 +1979,44,1,homicide,15-17 yrs,1,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,1.9287519454956055 +1979,44,1,other external,15-17 yrs,8,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,15.430015563964844 +1979,44,1,internal,15-17 yrs,5,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,9.643759727478027 +1979,44,1,all,18-20 yrs,47,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,78.816741943359375 +1979,44,1,MVA,18-20 yrs,23,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,38.56989669799805 +1979,44,1,suicide,18-20 yrs,5,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,8.384759902954102 +1979,44,1,homicide,18-20 yrs,6,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,10.061712265014648 +1979,44,1,other external,18-20 yrs,5,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,8.384759902954102 +1979,44,1,internal,18-20 yrs,8,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,13.415616035461426 +1979,44,1,all,21-24 yrs,64,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,90.66825103759766 +1979,44,1,MVA,21-24 yrs,19,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,26.917137145996094 +1979,44,1,suicide,21-24 yrs,14,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,19.833681106567383 +1979,44,1,homicide,21-24 yrs,7,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,9.916840553283691 +1979,44,1,other external,21-24 yrs,11,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,15.583605766296387 +1979,44,1,internal,21-24 yrs,13,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,18.416988372802734 +1980,44,0.842829704284668,MVA,15-17 yrs,11,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,21.84186553955078 +1980,44,0.842829704284668,suicide,15-17 yrs,4,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,7.942496299743652 +1980,44,0.842829704284668,homicide,15-17 yrs,2,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,3.971248149871826 +1980,44,0.842829704284668,other external,15-17 yrs,4,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,7.942496299743652 +1980,44,0.842829704284668,internal,15-17 yrs,6,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,11.913744926452637 +1980,44,0.842829704284668,all,18-20 yrs,54,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,92.20051574707031 +1980,44,0.842829704284668,MVA,18-20 yrs,22,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,37.563175201416016 +1980,44,0.842829704284668,suicide,18-20 yrs,5,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,8.53708553314209 +1980,44,0.842829704284668,homicide,18-20 yrs,7,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,11.951919555664062 +1980,44,0.842829704284668,other external,18-20 yrs,9,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,15.366753578186035 +1980,44,0.842829704284668,internal,18-20 yrs,11,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,18.781587600708008 +1980,44,0.842829704284668,all,21-24 yrs,68,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,95.0025863647461 +1980,44,0.842829704284668,MVA,21-24 yrs,17,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,23.750646591186523 +1980,44,0.842829704284668,suicide,21-24 yrs,13,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,18.16225814819336 +1980,44,0.842829704284668,homicide,21-24 yrs,7,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,9.779677391052246 +1980,44,0.842829704284668,other external,21-24 yrs,10,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,13.970968246459961 +1980,44,0.842829704284668,internal,21-24 yrs,21,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,29.339033126831055 +1981,44,0.5324057340621948,MVA,15-17 yrs,10,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,20.364110946655273 +1981,44,0.5324057340621948,suicide,15-17 yrs,6,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,12.218465805053711 +1981,44,0.5324057340621948,homicide,15-17 yrs,2,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,4.072822093963623 +1981,44,0.5324057340621948,other external,15-17 yrs,4,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.145644187927246 +1981,44,0.5324057340621948,internal,15-17 yrs,4,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.145644187927246 +1981,44,0.5324057340621948,all,18-20 yrs,30,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,52.47415542602539 +1981,44,0.5324057340621948,MVA,18-20 yrs,16,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,27.986217498779297 +1981,44,0.5324057340621948,suicide,18-20 yrs,2,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,3.498277187347412 +1981,44,0.5324057340621948,homicide,18-20 yrs,4,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,6.996554374694824 +1981,44,0.5324057340621948,other external,18-20 yrs,6,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,10.494831085205078 +1981,44,0.5324057340621948,internal,18-20 yrs,2,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,3.498277187347412 +1981,44,0.5324057340621948,all,21-24 yrs,42,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,56.12272262573242 +1981,44,0.5324057340621948,MVA,21-24 yrs,18,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,24.052595138549805 +1981,44,0.5324057340621948,suicide,21-24 yrs,12,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,16.035062789916992 +1981,44,0.5324057340621948,homicide,21-24 yrs,4,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,5.3450212478637695 +1981,44,0.5324057340621948,other external,21-24 yrs,2,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,2.6725106239318848 +1981,44,0.5324057340621948,internal,21-24 yrs,6,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.017531394958496 +1982,44,0.3565172851085663,MVA,15-17 yrs,8,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,16.911531448364258 +1982,44,0.3565172851085663,suicide,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,homicide,15-17 yrs,2,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,4.2278828620910645 +1982,44,0.3565172851085663,other external,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,internal,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,all,18-20 yrs,50,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,91.22755432128906 +1982,44,0.3565172851085663,MVA,18-20 yrs,18,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,32.841922760009766 +1982,44,0.3565172851085663,suicide,18-20 yrs,10,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.245512008666992 +1982,44,0.3565172851085663,homicide,18-20 yrs,4,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,7.29820442199707 +1982,44,0.3565172851085663,other external,18-20 yrs,10,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.245512008666992 +1982,44,0.3565172851085663,internal,18-20 yrs,8,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,14.59640884399414 +1982,44,0.3565172851085663,all,21-24 yrs,44,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,56.83799743652344 +1982,44,0.3565172851085663,MVA,21-24 yrs,14,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.08481788635254 +1982,44,0.3565172851085663,suicide,21-24 yrs,10,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,12.91772747039795 +1982,44,0.3565172851085663,homicide,21-24 yrs,6,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,7.750636100769043 +1982,44,0.3565172851085663,other external,21-24 yrs,2,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,2.583545446395874 +1982,44,0.3565172851085663,internal,21-24 yrs,12,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,15.501272201538086 +1983,44,0.33735543489456177,MVA,15-17 yrs,7,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,15.430057525634766 +1983,44,0.33735543489456177,suicide,15-17 yrs,2,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,4.40858793258667 +1983,44,0.33735543489456177,homicide,15-17 yrs,3,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,6.612881660461426 +1983,44,0.33735543489456177,other external,15-17 yrs,2,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,4.40858793258667 +1983,44,0.33735543489456177,internal,15-17 yrs,5,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,11.021470069885254 +1983,44,0.33735543489456177,all,18-20 yrs,35,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,64.9724349975586 +1983,44,0.33735543489456177,MVA,18-20 yrs,13,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,24.132617950439453 +1983,44,0.33735543489456177,suicide,18-20 yrs,5,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,9.281776428222656 +1983,44,0.33735543489456177,homicide,18-20 yrs,2,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,3.712710380554199 +1983,44,0.33735543489456177,other external,18-20 yrs,4,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,7.425420761108398 +1983,44,0.33735543489456177,internal,18-20 yrs,11,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,20.419906616210938 +1983,44,0.33735543489456177,all,21-24 yrs,58,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,74.66336822509766 +1983,44,0.33735543489456177,MVA,21-24 yrs,20,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,25.745990753173828 +1983,44,0.33735543489456177,suicide,21-24 yrs,13,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,16.734893798828125 +1983,44,0.33735543489456177,homicide,21-24 yrs,5,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,6.436497688293457 +1983,44,0.33735543489456177,other external,21-24 yrs,9,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,11.585695266723633 +1983,44,0.33735543489456177,internal,21-24 yrs,11,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,14.160294532775879 +1984,44,0.1724034696817398,MVA,15-17 yrs,8,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,18.195051193237305 +1984,44,0.1724034696817398,suicide,15-17 yrs,2,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,4.548762798309326 +1984,44,0.1724034696817398,homicide,15-17 yrs,0,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,0 +1984,44,0.1724034696817398,other external,15-17 yrs,5,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.371907234191895 +1984,44,0.1724034696817398,internal,15-17 yrs,9,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,20.469432830810547 +1984,44,0.1724034696817398,all,18-20 yrs,43,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,79.360687255859375 +1984,44,0.1724034696817398,MVA,18-20 yrs,10,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,18.45597267150879 +1984,44,0.1724034696817398,suicide,18-20 yrs,8,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,14.764779090881348 +1984,44,0.1724034696817398,homicide,18-20 yrs,6,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.073583602905273 +1984,44,0.1724034696817398,other external,18-20 yrs,6,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.073583602905273 +1984,44,0.1724034696817398,internal,18-20 yrs,13,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,23.992765426635742 +1984,44,0.1724034696817398,all,21-24 yrs,58,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,76.50201416015625 +1984,44,0.1724034696817398,MVA,21-24 yrs,22,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,29.018003463745117 +1984,44,0.1724034696817398,suicide,21-24 yrs,8,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,10.552001953125 +1984,44,0.1724034696817398,homicide,21-24 yrs,8,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,10.552001953125 +1984,44,0.1724034696817398,other external,21-24 yrs,4,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,5.2760009765625 +1984,44,0.1724034696817398,internal,21-24 yrs,16,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,21.10400390625 +1985,44,0,MVA,15-17 yrs,10,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,23.08029556274414 +1985,44,0,suicide,15-17 yrs,3,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,6.924088954925537 +1985,44,0,homicide,15-17 yrs,0,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,0 +1985,44,0,other external,15-17 yrs,1,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,2.3080296516418457 +1985,44,0,internal,15-17 yrs,11,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,25.38832664489746 +1985,44,0,all,18-20 yrs,40,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,74.14134979248047 +1985,44,0,MVA,18-20 yrs,18,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,33.363609313964844 +1985,44,0,suicide,18-20 yrs,9,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,16.681804656982422 +1985,44,0,homicide,18-20 yrs,4,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,7.414134979248047 +1985,44,0,other external,18-20 yrs,2,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,3.7070674896240234 +1985,44,0,internal,18-20 yrs,7,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,12.974736213684082 +1985,44,0,all,21-24 yrs,73,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,98.502227783203125 +1985,44,0,MVA,21-24 yrs,27,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,36.43233108520508 +1985,44,0,suicide,21-24 yrs,11,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,14.842801094055176 +1985,44,0,homicide,21-24 yrs,7,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,9.4454193115234375 +1985,44,0,other external,21-24 yrs,7,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,9.4454193115234375 +1985,44,0,internal,21-24 yrs,21,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,28.33625602722168 +1986,44,0,MVA,15-17 yrs,7,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,16.153596878051758 +1986,44,0,suicide,15-17 yrs,1,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,2.307656764984131 +1986,44,0,homicide,15-17 yrs,0,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,0 +1986,44,0,other external,15-17 yrs,1,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,2.307656764984131 +1986,44,0,internal,15-17 yrs,3,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,6.922970294952393 +1986,44,0,all,18-20 yrs,49,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,91.85490417480469 +1986,44,0,MVA,18-20 yrs,22,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,41.2409782409668 +1986,44,0,suicide,18-20 yrs,9,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,16.871309280395508 +1986,44,0,homicide,18-20 yrs,5,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,9.372949600219727 +1986,44,0,other external,18-20 yrs,6,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,11.247539520263672 +1986,44,0,internal,18-20 yrs,7,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,13.122129440307617 +1986,44,0,all,21-24 yrs,55,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,76.94890594482422 +1986,44,0,MVA,21-24 yrs,18,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,25.183279037475586 +1986,44,0,suicide,21-24 yrs,11,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,15.38978099822998 +1986,44,0,homicide,21-24 yrs,3,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,4.197213172912598 +1986,44,0,other external,21-24 yrs,8,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,11.192567825317383 +1986,44,0,internal,21-24 yrs,15,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,20.986064910888672 +1987,44,0,MVA,15-17 yrs,9,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,21.214406967163086 +1987,44,0,suicide,15-17 yrs,2,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,4.714312553405762 +1987,44,0,homicide,15-17 yrs,2,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,4.714312553405762 +1987,44,0,other external,15-17 yrs,1,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,2.357156276702881 +1987,44,0,internal,15-17 yrs,4,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,9.428625106811523 +1987,44,0,all,18-20 yrs,34,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,63.573978424072266 +1987,44,0,MVA,18-20 yrs,16,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,29.91716766357422 +1987,44,0,suicide,18-20 yrs,6,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,11.218937873840332 +1987,44,0,homicide,18-20 yrs,1,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,1.8698229789733887 +1987,44,0,other external,18-20 yrs,3,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,5.609468936920166 +1987,44,0,internal,18-20 yrs,8,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,14.95858383178711 +1987,44,0,all,21-24 yrs,63,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,90.29151153564453 +1987,44,0,MVA,21-24 yrs,25,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,35.82996368408203 +1987,44,0,suicide,21-24 yrs,11,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,15.76518440246582 +1987,44,0,homicide,21-24 yrs,5,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,7.1659932136535645 +1987,44,0,other external,21-24 yrs,7,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,10.032390594482422 +1987,44,0,internal,21-24 yrs,15,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,21.49798011779785 +1988,44,0,MVA,15-17 yrs,10,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,24.935791015625 +1988,44,0,suicide,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,homicide,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,other external,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,internal,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,all,18-20 yrs,39,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,72.13005828857422 +1988,44,0,MVA,18-20 yrs,15,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,27.742328643798828 +1988,44,0,suicide,18-20 yrs,5,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,9.247443199157715 +1988,44,0,homicide,18-20 yrs,6,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,11.096931457519531 +1988,44,0,other external,18-20 yrs,5,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,9.247443199157715 +1988,44,0,internal,18-20 yrs,8,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,14.79590892791748 +1988,44,0,all,21-24 yrs,50,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,72.55525207519531 +1988,44,0,MVA,21-24 yrs,17,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,24.668785095214844 +1988,44,0,suicide,21-24 yrs,12,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,17.413259506225586 +1988,44,0,homicide,21-24 yrs,7,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,10.157734870910645 +1988,44,0,other external,21-24 yrs,5,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.2555251121521 +1988,44,0,internal,21-24 yrs,9,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,13.059945106506348 +1989,44,0,MVA,15-17 yrs,8,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,21.512893676757812 +1989,44,0,suicide,15-17 yrs,4,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.756446838378906 +1989,44,0,homicide,15-17 yrs,4,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.756446838378906 +1989,44,0,other external,15-17 yrs,1,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,2.6891117095947266 +1989,44,0,internal,15-17 yrs,5,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,13.445558547973633 +1989,44,0,all,18-20 yrs,38,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,68.88675689697266 +1989,44,0,MVA,18-20 yrs,15,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,27.192140579223633 +1989,44,0,suicide,18-20 yrs,11,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,19.940902709960938 +1989,44,0,homicide,18-20 yrs,5,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,9.064046859741211 +1989,44,0,other external,18-20 yrs,2,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,3.6256186962127686 +1989,44,0,internal,18-20 yrs,5,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,9.064046859741211 +1989,44,0,all,21-24 yrs,55,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,81.79411315917969 +1989,44,0,MVA,21-24 yrs,16,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,23.794652938842773 +1989,44,0,suicide,21-24 yrs,9,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,13.384491920471191 +1989,44,0,homicide,21-24 yrs,7,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.410160064697266 +1989,44,0,other external,21-24 yrs,7,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.410160064697266 +1989,44,0,internal,21-24 yrs,16,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,23.794652938842773 +1990,44,0,MVA,15-17 yrs,10,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,28.179332733154297 +1990,44,0,suicide,15-17 yrs,2,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,5.635866641998291 +1990,44,0,homicide,15-17 yrs,6,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.90760040283203 +1990,44,0,other external,15-17 yrs,0,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,0 +1990,44,0,internal,15-17 yrs,5,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,14.089666366577148 +1990,44,0,all,18-20 yrs,39,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,71.78618621826172 +1990,44,0,MVA,18-20 yrs,11,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,20.247386932373047 +1990,44,0,suicide,18-20 yrs,9,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.566043853759766 +1990,44,0,homicide,18-20 yrs,4,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,7.362685680389404 +1990,44,0,other external,18-20 yrs,6,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,11.044029235839844 +1990,44,0,internal,18-20 yrs,9,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.566043853759766 +1990,44,0,all,21-24 yrs,52,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,78.236663818359375 +1990,44,0,MVA,21-24 yrs,14,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,21.063716888427734 +1990,44,0,suicide,21-24 yrs,11,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.550064086914062 +1990,44,0,homicide,21-24 yrs,5,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,7.522756099700928 +1990,44,0,other external,21-24 yrs,7,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,10.531858444213867 +1990,44,0,internal,21-24 yrs,15,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,22.568269729614258 +1991,44,0,MVA,15-17 yrs,4,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,11.569722175598145 +1991,44,0,suicide,15-17 yrs,1,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,2.892430543899536 +1991,44,0,homicide,15-17 yrs,3,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,8.6772918701171875 +1991,44,0,other external,15-17 yrs,1,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,2.892430543899536 +1991,44,0,internal,15-17 yrs,4,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,11.569722175598145 +1991,44,0,all,18-20 yrs,23,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,48.27875900268555 +1991,44,0,MVA,18-20 yrs,5,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,10.495382308959961 +1991,44,0,suicide,18-20 yrs,6,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,12.59445858001709 +1991,44,0,homicide,18-20 yrs,3,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,6.297229290008545 +1991,44,0,other external,18-20 yrs,3,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,6.297229290008545 +1991,44,0,internal,18-20 yrs,6,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,12.59445858001709 +1991,44,0,all,21-24 yrs,50,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,73.042816162109375 +1991,44,0,MVA,21-24 yrs,17,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,24.834558486938477 +1991,44,0,suicide,21-24 yrs,4,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,5.843425273895264 +1991,44,0,homicide,21-24 yrs,9,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,13.147706985473633 +1991,44,0,other external,21-24 yrs,6,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,8.765137672424316 +1991,44,0,internal,21-24 yrs,14,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,20.451988220214844 +1992,44,0,MVA,15-17 yrs,9,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,25.978525161743164 +1992,44,0,suicide,15-17 yrs,1,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,2.886502742767334 +1992,44,0,homicide,15-17 yrs,0,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,0 +1992,44,0,other external,15-17 yrs,2,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,5.773005485534668 +1992,44,0,internal,15-17 yrs,6,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,17.319015502929688 +1992,44,0,all,18-20 yrs,23,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,56.79292678833008 +1992,44,0,MVA,18-20 yrs,8,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,19.75406265258789 +1992,44,0,suicide,18-20 yrs,3,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,7.407773017883301 +1992,44,0,homicide,18-20 yrs,6,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,14.815546035766602 +1992,44,0,other external,18-20 yrs,1,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,2.4692578315734863 +1992,44,0,internal,18-20 yrs,5,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,12.346288681030273 +1992,44,0,all,21-24 yrs,38,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,54.296573638916016 +1992,44,0,MVA,21-24 yrs,9,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,12.85971450805664 +1992,44,0,suicide,21-24 yrs,3,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,4.286571502685547 +1992,44,0,homicide,21-24 yrs,6,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,8.573143005371094 +1992,44,0,other external,21-24 yrs,7,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,10.00200080871582 +1992,44,0,internal,21-24 yrs,13,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,18.575143814086914 +1993,44,0,MVA,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,suicide,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,homicide,15-17 yrs,6,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,17.038677215576172 +1993,44,0,other external,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,internal,15-17 yrs,5,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,14.198898315429688 +1993,44,0,all,18-20 yrs,18,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,49.38677978515625 +1993,44,0,MVA,18-20 yrs,3,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,8.231130599975586 +1993,44,0,suicide,18-20 yrs,2,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.487420082092285 +1993,44,0,homicide,18-20 yrs,5,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,13.718550682067871 +1993,44,0,other external,18-20 yrs,4,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.97484016418457 +1993,44,0,internal,18-20 yrs,4,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.97484016418457 +1993,44,0,all,21-24 yrs,41,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,60.29677963256836 +1993,44,0,MVA,21-24 yrs,9,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,13.235877990722656 +1993,44,0,suicide,21-24 yrs,7,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.294571876525879 +1993,44,0,homicide,21-24 yrs,4,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.882612705230713 +1993,44,0,other external,21-24 yrs,5,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,7.353265762329102 +1993,44,0,internal,21-24 yrs,16,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,23.53045082092285 +1994,44,0,MVA,15-17 yrs,3,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,8.293707847595215 +1994,44,0,suicide,15-17 yrs,0,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,0 +1994,44,0,homicide,15-17 yrs,0,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,0 +1994,44,0,other external,15-17 yrs,1,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,2.7645692825317383 +1994,44,0,internal,15-17 yrs,6,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.58741569519043 +1994,44,0,all,18-20 yrs,22,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,62.312355041503906 +1994,44,0,MVA,18-20 yrs,3,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,8.497138977050781 +1994,44,0,suicide,18-20 yrs,1,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,2.8323798179626465 +1994,44,0,homicide,18-20 yrs,4,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,11.329519271850586 +1994,44,0,other external,18-20 yrs,4,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,11.329519271850586 +1994,44,0,internal,18-20 yrs,10,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,28.32379722595215 +1994,44,0,all,21-24 yrs,47,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,75.5068588256836 +1994,44,0,MVA,21-24 yrs,13,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,20.884876251220703 +1994,44,0,suicide,21-24 yrs,8,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,12.8522310256958 +1994,44,0,homicide,21-24 yrs,10,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.065288543701172 +1994,44,0,other external,21-24 yrs,6,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,9.63917350769043 +1994,44,0,internal,21-24 yrs,10,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.065288543701172 +1995,44,0,MVA,15-17 yrs,4,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,10.796221733093262 +1995,44,0,suicide,15-17 yrs,1,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.6990554332733154 +1995,44,0,homicide,15-17 yrs,3,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,8.097166061401367 +1995,44,0,other external,15-17 yrs,3,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,8.097166061401367 +1995,44,0,internal,15-17 yrs,1,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.6990554332733154 +1995,44,0,all,18-20 yrs,22,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,62.39011001586914 +1995,44,0,MVA,18-20 yrs,6,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,17.015483856201172 +1995,44,0,suicide,18-20 yrs,1,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.835913896560669 +1995,44,0,homicide,18-20 yrs,9,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,25.523225784301758 +1995,44,0,other external,18-20 yrs,1,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.835913896560669 +1995,44,0,internal,18-20 yrs,5,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,14.179570198059082 +1995,44,0,all,21-24 yrs,29,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,52.391963958740234 +1995,44,0,MVA,21-24 yrs,4,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,7.22647762298584 +1995,44,0,suicide,21-24 yrs,6,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,10.839716911315918 +1995,44,0,homicide,21-24 yrs,5,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,9.033097267150879 +1995,44,0,other external,21-24 yrs,4,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,7.22647762298584 +1995,44,0,internal,21-24 yrs,10,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,18.066194534301758 +1996,44,0,MVA,15-17 yrs,2,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.317875862121582 +1996,44,0,suicide,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,homicide,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,other external,15-17 yrs,0,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,0 +1996,44,0,internal,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,all,18-20 yrs,17,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,47.56841278076172 +1996,44,0,MVA,18-20 yrs,7,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,19.586994171142578 +1996,44,0,suicide,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,homicide,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,other external,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,internal,18-20 yrs,4,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,11.192567825317383 +1996,44,0,all,21-24 yrs,42,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,85.5101089477539 +1996,44,0,MVA,21-24 yrs,10,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,20.35955047607422 +1996,44,0,suicide,21-24 yrs,11,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,22.395503997802734 +1996,44,0,homicide,21-24 yrs,5,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,10.17977523803711 +1996,44,0,other external,21-24 yrs,5,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,10.17977523803711 +1996,44,0,internal,21-24 yrs,11,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,22.395503997802734 +1970,45,1,MVA,15-17 yrs,71,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,42.358726501464844 +1970,45,1,suicide,15-17 yrs,3,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,1.789805293083191 +1970,45,1,homicide,15-17 yrs,16,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,9.545628547668457 +1970,45,1,other external,15-17 yrs,59,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,35.19950485229492 +1970,45,1,internal,15-17 yrs,46,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,27.443681716918945 +1970,45,1,all,18-20 yrs,250,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,148.70684814453125 +1970,45,1,MVA,18-20 yrs,122,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,72.568939208984375 +1970,45,1,suicide,18-20 yrs,10,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,5.948273658752441 +1970,45,1,homicide,18-20 yrs,34,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,20.224130630493164 +1970,45,1,other external,18-20 yrs,33,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,19.629302978515625 +1970,45,1,internal,18-20 yrs,51,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,30.336196899414062 +1970,45,1,all,21-24 yrs,348,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,189.50428771972656 +1970,45,1,MVA,21-24 yrs,134,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,72.97004699707031 +1970,45,1,suicide,21-24 yrs,17,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,9.257393836975098 +1970,45,1,homicide,21-24 yrs,42,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,22.87120819091797 +1970,45,1,other external,21-24 yrs,57,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,31.03949546813965 +1970,45,1,internal,21-24 yrs,98,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,53.36614990234375 +1971,45,1,MVA,15-17 yrs,72,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,42.01165771484375 +1971,45,1,suicide,15-17 yrs,4,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,2.3339810371398926 +1971,45,1,homicide,15-17 yrs,14,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,8.168933868408203 +1971,45,1,other external,15-17 yrs,38,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,22.172819137573242 +1971,45,1,internal,15-17 yrs,58,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,33.84272384643555 +1971,45,1,all,18-20 yrs,232,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,131.6192626953125 +1971,45,1,MVA,18-20 yrs,101,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,57.29976272583008 +1971,45,1,suicide,18-20 yrs,7,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,3.971270799636841 +1971,45,1,homicide,18-20 yrs,34,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,19.28902816772461 +1971,45,1,other external,18-20 yrs,40,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,22.692975997924805 +1971,45,1,internal,18-20 yrs,50,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,28.36621856689453 +1971,45,1,all,21-24 yrs,346,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,168.32723999023438 +1971,45,1,MVA,21-24 yrs,127,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,61.78485107421875 +1971,45,1,suicide,21-24 yrs,17,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,8.270413398742676 +1971,45,1,homicide,21-24 yrs,75,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,36.487117767333984 +1971,45,1,other external,21-24 yrs,54,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,26.27072525024414 +1971,45,1,internal,21-24 yrs,73,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,35.514129638671875 +1972,45,1,MVA,15-17 yrs,108,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,61.55635070800781 +1972,45,1,suicide,15-17 yrs,8,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,4.55972957611084 +1972,45,1,homicide,15-17 yrs,10,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,5.699662208557129 +1972,45,1,other external,15-17 yrs,26,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,14.819121360778809 +1972,45,1,internal,15-17 yrs,54,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,30.778175354003906 +1972,45,1,all,18-20 yrs,294,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,165.0655975341797 +1972,45,1,MVA,18-20 yrs,122,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,68.496612548828125 +1972,45,1,suicide,18-20 yrs,20,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,11.228952407836914 +1972,45,1,homicide,18-20 yrs,20,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,11.228952407836914 +1972,45,1,other external,18-20 yrs,66,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,37.055545806884766 +1972,45,1,internal,18-20 yrs,66,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,37.055545806884766 +1972,45,1,all,21-24 yrs,364,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,171.96498107910156 +1972,45,1,MVA,21-24 yrs,154,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,72.7544174194336 +1972,45,1,suicide,21-24 yrs,28,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,13.228075981140137 +1972,45,1,homicide,21-24 yrs,52,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,24.566425323486328 +1972,45,1,other external,21-24 yrs,52,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,24.566425323486328 +1972,45,1,internal,21-24 yrs,78,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,36.849639892578125 +1973,45,1,MVA,15-17 yrs,77,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,43.17426300048828 +1973,45,1,suicide,15-17 yrs,12,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,6.728456497192383 +1973,45,1,homicide,15-17 yrs,9,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,5.046342372894287 +1973,45,1,other external,15-17 yrs,55,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,30.83875846862793 +1973,45,1,internal,15-17 yrs,44,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,24.67100715637207 +1973,45,1,all,18-20 yrs,266,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,146.40159606933594 +1973,45,1,MVA,18-20 yrs,113,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,62.19316101074219 +1973,45,1,suicide,18-20 yrs,15,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,8.255729675292969 +1973,45,1,homicide,18-20 yrs,31,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,17.061840057373047 +1973,45,1,other external,18-20 yrs,54,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,29.720626831054688 +1973,45,1,internal,18-20 yrs,53,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,29.170244216918945 +1973,45,1,all,21-24 yrs,369,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,169.28236389160156 +1973,45,1,MVA,21-24 yrs,135,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,61.93257141113281 +1973,45,1,suicide,21-24 yrs,23,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,10.551475524902344 +1973,45,1,homicide,21-24 yrs,60,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,27.52558708190918 +1973,45,1,other external,21-24 yrs,58,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,26.608068466186523 +1973,45,1,internal,21-24 yrs,93,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,42.6646614074707 +1974,45,1,MVA,15-17 yrs,81,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,44.681766510009766 +1974,45,1,suicide,15-17 yrs,9,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,4.9646406173706055 +1974,45,1,homicide,15-17 yrs,9,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,4.9646406173706055 +1974,45,1,other external,15-17 yrs,64,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,35.30411148071289 +1974,45,1,internal,15-17 yrs,39,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,21.513442993164062 +1974,45,1,all,18-20 yrs,249,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,131.9624786376953 +1974,45,1,MVA,18-20 yrs,94,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,49.817161560058594 +1974,45,1,suicide,18-20 yrs,17,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,9.009486198425293 +1974,45,1,homicide,18-20 yrs,34,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,18.018972396850586 +1974,45,1,other external,18-20 yrs,48,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,25.43855094909668 +1974,45,1,internal,18-20 yrs,56,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,29.678308486938477 +1974,45,1,all,21-24 yrs,378,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,166.19256591796875 +1974,45,1,MVA,21-24 yrs,118,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,51.880218505859375 +1974,45,1,suicide,21-24 yrs,24,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,10.551908493041992 +1974,45,1,homicide,21-24 yrs,73,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,32.09539031982422 +1974,45,1,other external,21-24 yrs,83,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,36.49201965332031 +1974,45,1,internal,21-24 yrs,80,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,35.173030853271484 +1975,45,1,MVA,15-17 yrs,62,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,34.021629333496094 +1975,45,1,suicide,15-17 yrs,8,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,4.389887809753418 +1975,45,1,homicide,15-17 yrs,17,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,9.328512191772461 +1975,45,1,other external,15-17 yrs,52,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,28.534271240234375 +1975,45,1,internal,15-17 yrs,31,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,17.010814666748047 +1975,45,1,all,18-20 yrs,244,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,125.81924438476562 +1975,45,1,MVA,18-20 yrs,89,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,45.89308547973633 +1975,45,1,suicide,18-20 yrs,19,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,9.79740047454834 +1975,45,1,homicide,18-20 yrs,30,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,15.469578742980957 +1975,45,1,other external,18-20 yrs,56,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,28.87654685974121 +1975,45,1,internal,18-20 yrs,50,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,25.782630920410156 +1975,45,1,all,21-24 yrs,323,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,138.48277282714844 +1975,45,1,MVA,21-24 yrs,102,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,43.73140335083008 +1975,45,1,suicide,21-24 yrs,32,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,13.719655990600586 +1975,45,1,homicide,21-24 yrs,50,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,21.436962127685547 +1975,45,1,other external,21-24 yrs,70,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,30.011747360229492 +1975,45,1,internal,21-24 yrs,69,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,29.5830078125 +1976,45,1,MVA,15-17 yrs,77,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,42.126224517822266 +1976,45,1,suicide,15-17 yrs,4,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,2.188375234603882 +1976,45,1,homicide,15-17 yrs,8,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,4.376750469207764 +1976,45,1,other external,15-17 yrs,37,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,20.24247169494629 +1976,45,1,internal,15-17 yrs,34,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,18.6011905670166 +1976,45,1,all,18-20 yrs,228,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,115.71019744873047 +1976,45,1,MVA,18-20 yrs,92,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,46.69007873535156 +1976,45,1,suicide,18-20 yrs,12,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,6.090010166168213 +1976,45,1,homicide,18-20 yrs,31,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,15.732526779174805 +1976,45,1,other external,18-20 yrs,46,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,23.34503936767578 +1976,45,1,internal,18-20 yrs,47,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,23.852540969848633 +1976,45,1,all,21-24 yrs,310,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,131.55213928222656 +1976,45,1,MVA,21-24 yrs,107,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,45.406707763671875 +1976,45,1,suicide,21-24 yrs,29,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,12.306490898132324 +1976,45,1,homicide,21-24 yrs,34,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,14.428299903869629 +1976,45,1,other external,21-24 yrs,67,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,28.43223762512207 +1976,45,1,internal,21-24 yrs,73,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,30.978408813476562 +1977,45,1,MVA,15-17 yrs,77,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,41.949737548828125 +1977,45,1,suicide,15-17 yrs,11,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,5.992819309234619 +1977,45,1,homicide,15-17 yrs,8,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,4.358414173126221 +1977,45,1,other external,15-17 yrs,44,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,23.971277236938477 +1977,45,1,internal,15-17 yrs,48,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,26.15048599243164 +1977,45,1,all,18-20 yrs,280,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,141.2237091064453 +1977,45,1,MVA,18-20 yrs,132,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,66.57688903808594 +1977,45,1,suicide,18-20 yrs,20,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,10.087407112121582 +1977,45,1,homicide,18-20 yrs,24,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,12.104888916015625 +1977,45,1,other external,18-20 yrs,55,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,27.74036979675293 +1977,45,1,internal,18-20 yrs,49,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,24.714147567749023 +1977,45,1,all,21-24 yrs,361,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,151.0826873779297 +1977,45,1,MVA,21-24 yrs,119,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,49.802879333496094 +1977,45,1,suicide,21-24 yrs,44,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,18.41451072692871 +1977,45,1,homicide,21-24 yrs,50,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,20.925580978393555 +1977,45,1,other external,21-24 yrs,65,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,27.20325469970703 +1977,45,1,internal,21-24 yrs,83,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,34.7364616394043 +1978,45,1,MVA,15-17 yrs,97,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,52.62358474731445 +1978,45,1,suicide,15-17 yrs,10,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,5.425111770629883 +1978,45,1,homicide,15-17 yrs,7,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,3.7975783348083496 +1978,45,1,other external,15-17 yrs,32,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.3603572845459 +1978,45,1,internal,15-17 yrs,30,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,16.27533531188965 +1978,45,1,all,18-20 yrs,240,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,120.83435821533203 +1978,45,1,MVA,18-20 yrs,112,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,56.38936996459961 +1978,45,1,suicide,18-20 yrs,25,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,12.586912155151367 +1978,45,1,homicide,18-20 yrs,18,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,9.062577247619629 +1978,45,1,other external,18-20 yrs,41,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,20.642536163330078 +1978,45,1,internal,18-20 yrs,44,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,22.152965545654297 +1978,45,1,all,21-24 yrs,327,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,134.11697387695312 +1978,45,1,MVA,21-24 yrs,102,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,41.83465576171875 +1978,45,1,suicide,21-24 yrs,43,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.63617706298828 +1978,45,1,homicide,21-24 yrs,42,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.22603416442871 +1978,45,1,other external,21-24 yrs,51,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,20.917327880859375 +1978,45,1,internal,21-24 yrs,89,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,36.50278854370117 +1979,45,1,MVA,15-17 yrs,63,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,34.06583786010742 +1979,45,1,suicide,15-17 yrs,7,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,3.785093307495117 +1979,45,1,homicide,15-17 yrs,10,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,5.407276153564453 +1979,45,1,other external,15-17 yrs,33,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,17.844011306762695 +1979,45,1,internal,15-17 yrs,32,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,17.30328369140625 +1979,45,1,all,18-20 yrs,238,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,119.27552795410156 +1979,45,1,MVA,18-20 yrs,106,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,53.12271499633789 +1979,45,1,suicide,18-20 yrs,26,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,13.030099868774414 +1979,45,1,homicide,18-20 yrs,24,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,12.02778434753418 +1979,45,1,other external,18-20 yrs,41,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,20.54746437072754 +1979,45,1,internal,18-20 yrs,41,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,20.54746437072754 +1979,45,1,all,21-24 yrs,322,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,130.60972595214844 +1979,45,1,MVA,21-24 yrs,118,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,47.86319351196289 +1979,45,1,suicide,21-24 yrs,29,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,11.762988090515137 +1979,45,1,homicide,21-24 yrs,48,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,19.469772338867188 +1979,45,1,other external,21-24 yrs,59,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,23.931596755981445 +1979,45,1,internal,21-24 yrs,68,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,27.582178115844727 +1980,45,1,MVA,15-17 yrs,67,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,36.71836471557617 +1980,45,1,suicide,15-17 yrs,6,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,3.2882118225097656 +1980,45,1,homicide,15-17 yrs,8,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,4.384282112121582 +1980,45,1,other external,15-17 yrs,36,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,19.729270935058594 +1980,45,1,internal,15-17 yrs,26,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,14.248917579650879 +1980,45,1,all,18-20 yrs,245,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,121.59713745117188 +1980,45,1,MVA,18-20 yrs,112,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,55.58726501464844 +1980,45,1,suicide,18-20 yrs,27,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,13.400501251220703 +1980,45,1,homicide,18-20 yrs,21,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,10.422612190246582 +1980,45,1,other external,18-20 yrs,38,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,18.85996437072754 +1980,45,1,internal,18-20 yrs,47,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,23.326799392700195 +1980,45,1,all,21-24 yrs,366,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,146.9767303466797 +1980,45,1,MVA,21-24 yrs,122,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,48.992244720458984 +1980,45,1,suicide,21-24 yrs,26,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,10.440970420837402 +1980,45,1,homicide,21-24 yrs,61,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,24.496122360229492 +1980,45,1,other external,21-24 yrs,65,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,26.102426528930664 +1980,45,1,internal,21-24 yrs,92,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,36.94497299194336 +1981,45,1,MVA,15-17 yrs,56,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,31.888845443725586 +1981,45,1,suicide,15-17 yrs,12,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,6.833323955535889 +1981,45,1,homicide,15-17 yrs,6,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,3.4166619777679443 +1981,45,1,other external,15-17 yrs,25,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,14.236091613769531 +1981,45,1,internal,15-17 yrs,31,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,17.652753829956055 +1981,45,1,all,18-20 yrs,199,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,98.08995819091797 +1981,45,1,MVA,18-20 yrs,95,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,46.82686233520508 +1981,45,1,suicide,18-20 yrs,24,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,11.829944610595703 +1981,45,1,homicide,18-20 yrs,16,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,7.886629581451416 +1981,45,1,other external,18-20 yrs,27,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,13.308687210083008 +1981,45,1,internal,18-20 yrs,37,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,18.237831115722656 +1981,45,1,all,21-24 yrs,336,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,130.47225952148438 +1981,45,1,MVA,21-24 yrs,132,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,51.256961822509766 +1981,45,1,suicide,21-24 yrs,35,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,13.590860366821289 +1981,45,1,homicide,21-24 yrs,42,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,16.309032440185547 +1981,45,1,other external,21-24 yrs,45,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,17.47396469116211 +1981,45,1,internal,21-24 yrs,82,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,31.841445922851562 +1982,45,1,MVA,15-17 yrs,60,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,35.900840759277344 +1982,45,1,suicide,15-17 yrs,11,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,6.581820964813232 +1982,45,1,homicide,15-17 yrs,4,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,2.3933894634246826 +1982,45,1,other external,15-17 yrs,24,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,14.360336303710938 +1982,45,1,internal,15-17 yrs,33,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,19.74546241760254 +1982,45,1,all,18-20 yrs,197,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,99.1778793334961 +1982,45,1,MVA,18-20 yrs,72,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,36.24775314331055 +1982,45,1,suicide,18-20 yrs,25,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,12.58602523803711 +1982,45,1,homicide,18-20 yrs,17,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,8.558497428894043 +1982,45,1,other external,18-20 yrs,36,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,18.123876571655273 +1982,45,1,internal,18-20 yrs,47,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,23.661727905273438 +1982,45,1,all,21-24 yrs,297,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,113.80400085449219 +1982,45,1,MVA,21-24 yrs,107,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,41.00009536743164 +1982,45,1,suicide,21-24 yrs,35,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,13.411246299743652 +1982,45,1,homicide,21-24 yrs,47,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,18.009387969970703 +1982,45,1,other external,21-24 yrs,46,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,17.626209259033203 +1982,45,1,internal,21-24 yrs,62,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,23.757064819335938 +1983,45,1,MVA,15-17 yrs,57,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,35.41670608520508 +1983,45,1,suicide,15-17 yrs,6,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,3.728074312210083 +1983,45,1,homicide,15-17 yrs,3,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,1.8640371561050415 +1983,45,1,other external,15-17 yrs,28,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,17.397680282592773 +1983,45,1,internal,15-17 yrs,28,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,17.397680282592773 +1983,45,1,all,18-20 yrs,217,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,111.99595642089844 +1983,45,1,MVA,18-20 yrs,94,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,48.51437759399414 +1983,45,1,suicide,18-20 yrs,22,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.3544282913208 +1983,45,1,homicide,18-20 yrs,22,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.3544282913208 +1983,45,1,other external,18-20 yrs,39,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,20.128305435180664 +1983,45,1,internal,18-20 yrs,40,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,20.6444149017334 +1983,45,1,all,21-24 yrs,313,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,119.66478729248047 +1983,45,1,MVA,21-24 yrs,128,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,48.936397552490234 +1983,45,1,suicide,21-24 yrs,31,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.851783752441406 +1983,45,1,homicide,21-24 yrs,33,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,12.616415023803711 +1983,45,1,other external,21-24 yrs,57,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,21.791990280151367 +1983,45,1,internal,21-24 yrs,64,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,24.468198776245117 +1984,45,0.6990699172019958,MVA,15-17 yrs,54,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,33.79351043701172 +1984,45,0.6990699172019958,suicide,15-17 yrs,8,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,5.00644588470459 +1984,45,0.6990699172019958,homicide,15-17 yrs,9,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,5.632251739501953 +1984,45,0.6990699172019958,other external,15-17 yrs,17,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,10.638697624206543 +1984,45,0.6990699172019958,internal,15-17 yrs,21,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,13.14192008972168 +1984,45,0.6990699172019958,all,18-20 yrs,175,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,93.005950927734375 +1984,45,0.6990699172019958,MVA,18-20 yrs,80,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,42.517005920410156 +1984,45,0.6990699172019958,suicide,18-20 yrs,16,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,8.503401756286621 +1984,45,0.6990699172019958,homicide,18-20 yrs,17,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,9.034863471984863 +1984,45,0.6990699172019958,other external,18-20 yrs,27,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,14.34949016571045 +1984,45,0.6990699172019958,internal,18-20 yrs,35,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,18.6011905670166 +1984,45,0.6990699172019958,all,21-24 yrs,293,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,111.83377075195312 +1984,45,0.6990699172019958,MVA,21-24 yrs,135,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,51.527503967285156 +1984,45,0.6990699172019958,suicide,21-24 yrs,29,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,11.06887149810791 +1984,45,0.6990699172019958,homicide,21-24 yrs,19,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,7.252018928527832 +1984,45,0.6990699172019958,other external,21-24 yrs,56,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,21.374372482299805 +1984,45,0.6990699172019958,internal,21-24 yrs,54,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,20.61100196838379 +1985,45,0.3554985225200653,MVA,15-17 yrs,53,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,32.7803955078125 +1985,45,0.3554985225200653,suicide,15-17 yrs,15,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,9.277470588684082 +1985,45,0.3554985225200653,homicide,15-17 yrs,14,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,8.65897274017334 +1985,45,0.3554985225200653,other external,15-17 yrs,17,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,10.514466285705566 +1985,45,0.3554985225200653,internal,15-17 yrs,25,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.462450981140137 +1985,45,0.3554985225200653,all,18-20 yrs,208,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,115.77037048339844 +1985,45,0.3554985225200653,MVA,18-20 yrs,115,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,64.007659912109375 +1985,45,0.3554985225200653,suicide,18-20 yrs,23,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.801531791687012 +1985,45,0.3554985225200653,homicide,18-20 yrs,20,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,11.131766319274902 +1985,45,0.3554985225200653,other external,18-20 yrs,28,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.584473609924316 +1985,45,0.3554985225200653,internal,18-20 yrs,22,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.244943618774414 +1985,45,0.3554985225200653,all,21-24 yrs,297,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,115.36265563964844 +1985,45,0.3554985225200653,MVA,21-24 yrs,129,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,50.10700988769531 +1985,45,0.3554985225200653,suicide,21-24 yrs,40,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.537057876586914 +1985,45,0.3554985225200653,homicide,21-24 yrs,33,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.818072319030762 +1985,45,0.3554985225200653,other external,21-24 yrs,37,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,14.37177848815918 +1985,45,0.3554985225200653,internal,21-24 yrs,58,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,22.52873420715332 +1986,45,0.23250889778137207,MVA,15-17 yrs,67,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,40.25232696533203 +1986,45,0.23250889778137207,suicide,15-17 yrs,9,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,5.407029151916504 +1986,45,0.23250889778137207,homicide,15-17 yrs,14,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,8.4109344482421875 +1986,45,0.23250889778137207,other external,15-17 yrs,32,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,19.224992752075195 +1986,45,0.23250889778137207,internal,15-17 yrs,28,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,16.821868896484375 +1986,45,0.23250889778137207,all,18-20 yrs,200,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,114.1070556640625 +1986,45,0.23250889778137207,MVA,18-20 yrs,93,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,53.05978012084961 +1986,45,0.23250889778137207,suicide,18-20 yrs,19,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,10.840169906616211 +1986,45,0.23250889778137207,homicide,18-20 yrs,25,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,14.263381958007812 +1986,45,0.23250889778137207,other external,18-20 yrs,25,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,14.263381958007812 +1986,45,0.23250889778137207,internal,18-20 yrs,38,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,21.680339813232422 +1986,45,0.23250889778137207,all,21-24 yrs,325,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,128.46510314941406 +1986,45,0.23250889778137207,MVA,21-24 yrs,159,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,62.84907913208008 +1986,45,0.23250889778137207,suicide,21-24 yrs,33,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,13.044148445129395 +1986,45,0.23250889778137207,homicide,21-24 yrs,33,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,13.044148445129395 +1986,45,0.23250889778137207,other external,21-24 yrs,40,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,15.811089515686035 +1986,45,0.23250889778137207,internal,21-24 yrs,60,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,23.716632843017578 +1987,45,0,MVA,15-17 yrs,71,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,42.561100006103516 +1987,45,0,suicide,15-17 yrs,19,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,11.3895902633667 +1987,45,0,homicide,15-17 yrs,6,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,3.596712589263916 +1987,45,0,other external,15-17 yrs,18,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,10.790138244628906 +1987,45,0,internal,15-17 yrs,20,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,11.989042282104492 +1987,45,0,all,18-20 yrs,224,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,127.9451675415039 +1987,45,0,MVA,18-20 yrs,132,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,75.39625549316406 +1987,45,0,suicide,18-20 yrs,22,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,12.56604290008545 +1987,45,0,homicide,18-20 yrs,23,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,13.137227058410645 +1987,45,0,other external,18-20 yrs,16,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,9.138940811157227 +1987,45,0,internal,18-20 yrs,31,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,17.706697463989258 +1987,45,0,all,21-24 yrs,329,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,134.41793823242188 +1987,45,0,MVA,21-24 yrs,142,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,58.01625442504883 +1987,45,0,suicide,21-24 yrs,31,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,12.665519714355469 +1987,45,0,homicide,21-24 yrs,39,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,15.934041023254395 +1987,45,0,other external,21-24 yrs,55,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,22.471084594726562 +1987,45,0,internal,21-24 yrs,62,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,25.331039428710938 +1988,45,0,MVA,15-17 yrs,76,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,46.3123779296875 +1988,45,0,suicide,15-17 yrs,11,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,6.7031073570251465 +1988,45,0,homicide,15-17 yrs,9,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,5.484360218048096 +1988,45,0,other external,15-17 yrs,20,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,12.187467575073242 +1988,45,0,internal,15-17 yrs,23,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,14.01558780670166 +1988,45,0,all,18-20 yrs,200,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,112.84962463378906 +1988,45,0,MVA,18-20 yrs,100,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,56.42481231689453 +1988,45,0,suicide,18-20 yrs,19,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,10.720714569091797 +1988,45,0,homicide,18-20 yrs,32,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,18.055938720703125 +1988,45,0,other external,18-20 yrs,26,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,14.670451164245605 +1988,45,0,internal,18-20 yrs,23,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,12.977706909179688 +1988,45,0,all,21-24 yrs,304,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,129.73931884765625 +1988,45,0,MVA,21-24 yrs,131,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,55.907405853271484 +1988,45,0,suicide,21-24 yrs,28,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,11.949674606323242 +1988,45,0,homicide,21-24 yrs,37,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,15.790641784667969 +1988,45,0,other external,21-24 yrs,45,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,19.204833984375 +1988,45,0,internal,21-24 yrs,63,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,26.886768341064453 +1989,45,0,MVA,15-17 yrs,49,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,31.13245964050293 +1989,45,0,suicide,15-17 yrs,11,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,6.988919258117676 +1989,45,0,homicide,15-17 yrs,6,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,3.8121378421783447 +1989,45,0,other external,15-17 yrs,22,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,13.977838516235352 +1989,45,0,internal,15-17 yrs,24,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,15.248551368713379 +1989,45,0,all,18-20 yrs,215,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,116.884033203125 +1989,45,0,MVA,18-20 yrs,98,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,53.277374267578125 +1989,45,0,suicide,18-20 yrs,20,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,10.872933387756348 +1989,45,0,homicide,18-20 yrs,29,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,15.765753746032715 +1989,45,0,other external,18-20 yrs,32,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,17.39669418334961 +1989,45,0,internal,18-20 yrs,36,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,19.571279525756836 +1989,45,0,all,21-24 yrs,289,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,127.48125457763672 +1989,45,0,MVA,21-24 yrs,116,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,51.1689453125 +1989,45,0,suicide,21-24 yrs,39,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,17.203351974487305 +1989,45,0,homicide,21-24 yrs,29,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,12.792236328125 +1989,45,0,other external,21-24 yrs,41,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,18.085575103759766 +1989,45,0,internal,21-24 yrs,64,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,28.231142044067383 +1990,45,0,MVA,15-17 yrs,60,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,39.18930435180664 +1990,45,0,suicide,15-17 yrs,15,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,9.79732608795166 +1990,45,0,homicide,15-17 yrs,13,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,8.491015434265137 +1990,45,0,other external,15-17 yrs,16,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,10.450481414794922 +1990,45,0,internal,15-17 yrs,29,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,18.941497802734375 +1990,45,0,all,18-20 yrs,204,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,109.46790313720703 +1990,45,0,MVA,18-20 yrs,110,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,59.02680969238281 +1990,45,0,suicide,18-20 yrs,23,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,12.34196949005127 +1990,45,0,homicide,18-20 yrs,23,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,12.34196949005127 +1990,45,0,other external,18-20 yrs,18,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,9.65893268585205 +1990,45,0,internal,18-20 yrs,30,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,16.098220825195312 +1990,45,0,all,21-24 yrs,281,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,125.49237060546875 +1990,45,0,MVA,21-24 yrs,96,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,42.87283706665039 +1990,45,0,suicide,21-24 yrs,32,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,14.290946006774902 +1990,45,0,homicide,21-24 yrs,46,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,20.54323387145996 +1990,45,0,other external,21-24 yrs,42,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,18.756866455078125 +1990,45,0,internal,21-24 yrs,65,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,29.028484344482422 +1991,45,0,MVA,15-17 yrs,49,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,32.31145477294922 +1991,45,0,suicide,15-17 yrs,11,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,7.253592014312744 +1991,45,0,homicide,15-17 yrs,15,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,9.89126205444336 +1991,45,0,other external,15-17 yrs,28,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,18.46368980407715 +1991,45,0,internal,15-17 yrs,17,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,11.210097312927246 +1991,45,0,all,18-20 yrs,245,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,135.8025360107422 +1991,45,0,MVA,18-20 yrs,104,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,57.64678955078125 +1991,45,0,suicide,18-20 yrs,23,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,12.748809814453125 +1991,45,0,homicide,18-20 yrs,52,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,28.823394775390625 +1991,45,0,other external,18-20 yrs,25,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,13.857401847839355 +1991,45,0,internal,18-20 yrs,41,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,22.726139068603516 +1991,45,0,all,21-24 yrs,288,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,125.05644989013672 +1991,45,0,MVA,21-24 yrs,98,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,42.553932189941406 +1991,45,0,suicide,21-24 yrs,34,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,14.763608932495117 +1991,45,0,homicide,21-24 yrs,60,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,26.05342674255371 +1991,45,0,other external,21-24 yrs,39,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,16.93472671508789 +1991,45,0,internal,21-24 yrs,57,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,24.750755310058594 +1992,45,0,MVA,15-17 yrs,41,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,26.775684356689453 +1992,45,0,suicide,15-17 yrs,14,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,9.142916679382324 +1992,45,0,homicide,15-17 yrs,16,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,10.449048042297363 +1992,45,0,other external,15-17 yrs,21,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,13.714375495910645 +1992,45,0,internal,15-17 yrs,19,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,12.408244132995605 +1992,45,0,all,18-20 yrs,200,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,117.0370864868164 +1992,45,0,MVA,18-20 yrs,81,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,47.400020599365234 +1992,45,0,suicide,18-20 yrs,22,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,12.874079704284668 +1992,45,0,homicide,18-20 yrs,33,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,19.311119079589844 +1992,45,0,other external,18-20 yrs,23,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,13.45926570892334 +1992,45,0,internal,18-20 yrs,41,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,23.992603302001953 +1992,45,0,all,21-24 yrs,270,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,113.43155670166016 +1992,45,0,MVA,21-24 yrs,90,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,37.81052017211914 +1992,45,0,suicide,21-24 yrs,43,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,18.065025329589844 +1992,45,0,homicide,21-24 yrs,52,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,21.84607696533203 +1992,45,0,other external,21-24 yrs,27,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,11.343155860900879 +1992,45,0,internal,21-24 yrs,58,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,24.366779327392578 +1993,45,0,MVA,15-17 yrs,43,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,27.8632755279541 +1993,45,0,suicide,15-17 yrs,20,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.959663391113281 +1993,45,0,homicide,15-17 yrs,22,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,14.255629539489746 +1993,45,0,other external,15-17 yrs,19,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.31167984008789 +1993,45,0,internal,15-17 yrs,20,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.959663391113281 +1993,45,0,all,18-20 yrs,185,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,111.89403533935547 +1993,45,0,MVA,18-20 yrs,64,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,38.709285736083984 +1993,45,0,suicide,18-20 yrs,25,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,15.12081527709961 +1993,45,0,homicide,18-20 yrs,38,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,22.983638763427734 +1993,45,0,other external,18-20 yrs,21,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.701484680175781 +1993,45,0,internal,18-20 yrs,37,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,22.378807067871094 +1993,45,0,all,21-24 yrs,295,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,123.15888214111328 +1993,45,0,MVA,21-24 yrs,95,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,39.66133499145508 +1993,45,0,suicide,21-24 yrs,37,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,15.447046279907227 +1993,45,0,homicide,21-24 yrs,64,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,26.719215393066406 +1993,45,0,other external,21-24 yrs,29,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.107144355773926 +1993,45,0,internal,21-24 yrs,70,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,29.224140167236328 +1994,45,0,MVA,15-17 yrs,50,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,31.643766403198242 +1994,45,0,suicide,15-17 yrs,8,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,5.063002586364746 +1994,45,0,homicide,15-17 yrs,23,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,14.556133270263672 +1994,45,0,other external,15-17 yrs,16,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,10.126005172729492 +1994,45,0,internal,15-17 yrs,22,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,13.923257827758789 +1994,45,0,all,18-20 yrs,198,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,121.79069519042969 +1994,45,0,MVA,18-20 yrs,91,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,55.974510192871094 +1994,45,0,suicide,18-20 yrs,15,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,9.226567268371582 +1994,45,0,homicide,18-20 yrs,38,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,23.373971939086914 +1994,45,0,other external,18-20 yrs,19,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,11.686985969543457 +1994,45,0,internal,18-20 yrs,35,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,21.528657913208008 +1994,45,0,all,21-24 yrs,288,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,122.94137573242188 +1994,45,0,MVA,21-24 yrs,96,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,40.9804573059082 +1994,45,0,suicide,21-24 yrs,43,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,18.3558292388916 +1994,45,0,homicide,21-24 yrs,45,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,19.2095890045166 +1994,45,0,other external,21-24 yrs,33,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,14.087032318115234 +1994,45,0,internal,21-24 yrs,71,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,30.30846405029297 +1995,45,0,MVA,15-17 yrs,59,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,36.58393096923828 +1995,45,0,suicide,15-17 yrs,12,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,7.440799236297607 +1995,45,0,homicide,15-17 yrs,15,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,9.30099868774414 +1995,45,0,other external,15-17 yrs,14,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,8.68093204498291 +1995,45,0,internal,15-17 yrs,30,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,18.60199737548828 +1995,45,0,all,18-20 yrs,167,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,101.85411071777344 +1995,45,0,MVA,18-20 yrs,73,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,44.52305603027344 +1995,45,0,suicide,18-20 yrs,18,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,10.978287696838379 +1995,45,0,homicide,18-20 yrs,23,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,14.027812004089355 +1995,45,0,other external,18-20 yrs,18,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,10.978287696838379 +1995,45,0,internal,18-20 yrs,35,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,21.346670150756836 +1995,45,0,all,21-24 yrs,261,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,115.73252868652344 +1995,45,0,MVA,21-24 yrs,85,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,37.690670013427734 +1995,45,0,suicide,21-24 yrs,41,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,18.180206298828125 +1995,45,0,homicide,21-24 yrs,37,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,16.406526565551758 +1995,45,0,other external,21-24 yrs,25,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,11.085491180419922 +1995,45,0,internal,21-24 yrs,73,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,32.369632720947266 +1996,45,0,MVA,15-17 yrs,69,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,41.99711608886719 +1996,45,0,suicide,15-17 yrs,17,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,10.347115516662598 +1996,45,0,homicide,15-17 yrs,17,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,10.347115516662598 +1996,45,0,other external,15-17 yrs,23,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,13.999038696289062 +1996,45,0,internal,15-17 yrs,23,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,13.999038696289062 +1996,45,0,all,18-20 yrs,184,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,111.24344635009766 +1996,45,0,MVA,18-20 yrs,73,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,44.13462829589844 +1996,45,0,suicide,18-20 yrs,27,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,16.323766708374023 +1996,45,0,homicide,18-20 yrs,26,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,15.719182968139648 +1996,45,0,other external,18-20 yrs,12,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,7.255007266998291 +1996,45,0,internal,18-20 yrs,46,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,27.810861587524414 +1996,45,0,all,21-24 yrs,266,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,122.9949722290039 +1996,45,0,MVA,21-24 yrs,98,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,45.31393814086914 +1996,45,0,suicide,21-24 yrs,36,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,16.645936965942383 +1996,45,0,homicide,21-24 yrs,44,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,20.345033645629883 +1996,45,0,other external,21-24 yrs,16,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,7.398193836212158 +1996,45,0,internal,21-24 yrs,72,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,33.291873931884766 +1970,46,0.6334497332572937,MVA,15-17 yrs,26,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,59.659027099609375 +1970,46,0.6334497332572937,suicide,15-17 yrs,3,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,6.883733749389648 +1970,46,0.6334497332572937,homicide,15-17 yrs,1,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,2.2945778369903564 +1970,46,0.6334497332572937,other external,15-17 yrs,9,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,20.651201248168945 +1970,46,0.6334497332572937,internal,15-17 yrs,14,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,32.12409210205078 +1970,46,0.6334497332572937,all,18-20 yrs,61,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,158.9617919921875 +1970,46,0.6334497332572937,MVA,18-20 yrs,35,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,91.20758819580078 +1970,46,0.6334497332572937,suicide,18-20 yrs,4,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,10.423724174499512 +1970,46,0.6334497332572937,homicide,18-20 yrs,0,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,0 +1970,46,0.6334497332572937,other external,18-20 yrs,12,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,31.27117347717285 +1970,46,0.6334497332572937,internal,18-20 yrs,10,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,26.059310913085938 +1970,46,0.6334497332572937,all,21-24 yrs,55,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,148.2160186767578 +1970,46,0.6334497332572937,MVA,21-24 yrs,26,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,70.06575775146484 +1970,46,0.6334497332572937,suicide,21-24 yrs,2,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,5.389673233032227 +1970,46,0.6334497332572937,homicide,21-24 yrs,5,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,13.474183082580566 +1970,46,0.6334497332572937,other external,21-24 yrs,12,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,32.33803939819336 +1970,46,0.6334497332572937,internal,21-24 yrs,10,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,26.948366165161133 +1971,46,0.6512255072593689,MVA,15-17 yrs,28,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,63.388572692871094 +1971,46,0.6512255072593689,suicide,15-17 yrs,6,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.58326530456543 +1971,46,0.6512255072593689,homicide,15-17 yrs,1,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.2638776302337646 +1971,46,0.6512255072593689,other external,15-17 yrs,6,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.58326530456543 +1971,46,0.6512255072593689,internal,15-17 yrs,14,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,31.694286346435547 +1971,46,0.6512255072593689,all,18-20 yrs,63,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,157.2405548095703 +1971,46,0.6512255072593689,MVA,18-20 yrs,38,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,94.843505859375 +1971,46,0.6512255072593689,suicide,18-20 yrs,1,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.4958817958831787 +1971,46,0.6512255072593689,homicide,18-20 yrs,1,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.4958817958831787 +1971,46,0.6512255072593689,other external,18-20 yrs,11,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,27.454700469970703 +1971,46,0.6512255072593689,internal,18-20 yrs,12,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,29.950580596923828 +1971,46,0.6512255072593689,all,21-24 yrs,76,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,176.2972869873047 +1971,46,0.6512255072593689,MVA,21-24 yrs,35,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,81.189544677734375 +1971,46,0.6512255072593689,suicide,21-24 yrs,6,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.918207168579102 +1971,46,0.6512255072593689,homicide,21-24 yrs,0,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,0 +1971,46,0.6512255072593689,other external,21-24 yrs,22,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,51.03342819213867 +1971,46,0.6512255072593689,internal,21-24 yrs,13,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,30.156116485595703 +1972,46,0.82924884557724,MVA,15-17 yrs,40,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,89.29966735839844 +1972,46,0.82924884557724,suicide,15-17 yrs,2,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,4.4649834632873535 +1972,46,0.82924884557724,homicide,15-17 yrs,0,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,15-17 yrs,20,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,44.64983367919922 +1972,46,0.82924884557724,internal,15-17 yrs,6,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,13.394949913024902 +1972,46,0.82924884557724,all,18-20 yrs,66,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,159.54747009277344 +1972,46,0.82924884557724,MVA,18-20 yrs,38,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,91.86066436767578 +1972,46,0.82924884557724,suicide,18-20 yrs,0,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,homicide,18-20 yrs,0,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,18-20 yrs,22,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,53.18248748779297 +1972,46,0.82924884557724,internal,18-20 yrs,6,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,14.504315376281738 +1972,46,0.82924884557724,all,21-24 yrs,96,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,212.2860565185547 +1972,46,0.82924884557724,MVA,21-24 yrs,42,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,92.875152587890625 +1972,46,0.82924884557724,suicide,21-24 yrs,12,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,26.535757064819336 +1972,46,0.82924884557724,homicide,21-24 yrs,0,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,21-24 yrs,34,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,75.18464660644531 +1972,46,0.82924884557724,internal,21-24 yrs,8,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,17.69050407409668 +1973,46,1,MVA,15-17 yrs,28,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,62.387203216552734 +1973,46,1,suicide,15-17 yrs,2,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,4.456228733062744 +1973,46,1,homicide,15-17 yrs,0,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,0 +1973,46,1,other external,15-17 yrs,10,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,22.281143188476562 +1973,46,1,internal,15-17 yrs,5,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,11.140571594238281 +1973,46,1,all,18-20 yrs,67,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,160.13766479492188 +1973,46,1,MVA,18-20 yrs,40,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,95.60457611083984 +1973,46,1,suicide,18-20 yrs,4,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,9.560458183288574 +1973,46,1,homicide,18-20 yrs,2,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,4.780229091644287 +1973,46,1,other external,18-20 yrs,11,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,26.291259765625 +1973,46,1,internal,18-20 yrs,10,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,23.90114402770996 +1973,46,1,all,21-24 yrs,71,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,152.65863037109375 +1973,46,1,MVA,21-24 yrs,36,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,77.40437316894531 +1973,46,1,suicide,21-24 yrs,3,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,6.450364589691162 +1973,46,1,homicide,21-24 yrs,6,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,12.900729179382324 +1973,46,1,other external,21-24 yrs,16,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,34.40194320678711 +1973,46,1,internal,21-24 yrs,10,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,21.5012149810791 +1974,46,1,MVA,15-17 yrs,26,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,58.28681564331055 +1974,46,1,suicide,15-17 yrs,2,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,4.483601093292236 +1974,46,1,homicide,15-17 yrs,1,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,2.241800546646118 +1974,46,1,other external,15-17 yrs,14,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,31.385208129882812 +1974,46,1,internal,15-17 yrs,7,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,15.692604064941406 +1974,46,1,all,18-20 yrs,61,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,143.54629516601562 +1974,46,1,MVA,18-20 yrs,37,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,87.0690689086914 +1974,46,1,suicide,18-20 yrs,6,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,14.119308471679688 +1974,46,1,homicide,18-20 yrs,2,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,4.7064361572265625 +1974,46,1,other external,18-20 yrs,7,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,16.47252655029297 +1974,46,1,internal,18-20 yrs,9,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,21.17896270751953 +1974,46,1,all,21-24 yrs,63,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,134.12530517578125 +1974,46,1,MVA,21-24 yrs,28,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,59.61124801635742 +1974,46,1,suicide,21-24 yrs,8,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,17.03178596496582 +1974,46,1,homicide,21-24 yrs,0,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,0 +1974,46,1,other external,21-24 yrs,11,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,23.418704986572266 +1974,46,1,internal,21-24 yrs,16,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,34.06357192993164 +1975,46,1,MVA,15-17 yrs,25,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,56.308841705322266 +1975,46,1,suicide,15-17 yrs,1,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,2.2523536682128906 +1975,46,1,homicide,15-17 yrs,1,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,2.2523536682128906 +1975,46,1,other external,15-17 yrs,16,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,36.03765869140625 +1975,46,1,internal,15-17 yrs,8,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,18.018829345703125 +1975,46,1,all,18-20 yrs,72,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,167.48080444335938 +1975,46,1,MVA,18-20 yrs,34,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,79.0881576538086 +1975,46,1,suicide,18-20 yrs,9,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,20.935100555419922 +1975,46,1,homicide,18-20 yrs,4,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,9.3044891357421875 +1975,46,1,other external,18-20 yrs,17,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,39.5440788269043 +1975,46,1,internal,18-20 yrs,8,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,18.608978271484375 +1975,46,1,all,21-24 yrs,59,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,123.1527099609375 +1975,46,1,MVA,21-24 yrs,27,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,56.3580207824707 +1975,46,1,suicide,21-24 yrs,2,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,4.174668312072754 +1975,46,1,homicide,21-24 yrs,6,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,12.524003982543945 +1975,46,1,other external,21-24 yrs,14,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,29.22267723083496 +1975,46,1,internal,21-24 yrs,10,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,20.873340606689453 +1976,46,1,MVA,15-17 yrs,25,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,56.09280014038086 +1976,46,1,suicide,15-17 yrs,0,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,0 +1976,46,1,homicide,15-17 yrs,2,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,4.487423896789551 +1976,46,1,other external,15-17 yrs,8,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,17.949695587158203 +1976,46,1,internal,15-17 yrs,8,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,17.949695587158203 +1976,46,1,all,18-20 yrs,59,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,135.5355987548828 +1976,46,1,MVA,18-20 yrs,40,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,91.88854217529297 +1976,46,1,suicide,18-20 yrs,4,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,9.188854217529297 +1976,46,1,homicide,18-20 yrs,1,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,2.297213554382324 +1976,46,1,other external,18-20 yrs,6,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,13.783281326293945 +1976,46,1,internal,18-20 yrs,8,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,18.377708435058594 +1976,46,1,all,21-24 yrs,62,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,125.98809051513672 +1976,46,1,MVA,21-24 yrs,26,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,52.833717346191406 +1976,46,1,suicide,21-24 yrs,12,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,24.38479232788086 +1976,46,1,homicide,21-24 yrs,2,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,4.064132213592529 +1976,46,1,other external,21-24 yrs,11,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,22.352725982666016 +1976,46,1,internal,21-24 yrs,11,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,22.352725982666016 +1977,46,1,MVA,15-17 yrs,15,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,33.88069534301758 +1977,46,1,suicide,15-17 yrs,1,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.2587130069732666 +1977,46,1,homicide,15-17 yrs,1,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.2587130069732666 +1977,46,1,other external,15-17 yrs,10,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,22.587129592895508 +1977,46,1,internal,15-17 yrs,3,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,6.776138782501221 +1977,46,1,all,18-20 yrs,61,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,140.62103271484375 +1977,46,1,MVA,18-20 yrs,35,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,80.6842041015625 +1977,46,1,suicide,18-20 yrs,7,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,16.1368408203125 +1977,46,1,homicide,18-20 yrs,1,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.305262804031372 +1977,46,1,other external,18-20 yrs,11,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,25.357892990112305 +1977,46,1,internal,18-20 yrs,7,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,16.1368408203125 +1977,46,1,all,21-24 yrs,77,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,153.7263641357422 +1977,46,1,MVA,21-24 yrs,38,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,75.864959716796875 +1977,46,1,suicide,21-24 yrs,5,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,9.982232093811035 +1977,46,1,homicide,21-24 yrs,3,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,5.9893388748168945 +1977,46,1,other external,21-24 yrs,13,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,25.95380210876465 +1977,46,1,internal,21-24 yrs,18,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,35.93603515625 +1978,46,1,MVA,15-17 yrs,19,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,43.980464935302734 +1978,46,1,suicide,15-17 yrs,2,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,4.629522323608398 +1978,46,1,homicide,15-17 yrs,0,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,0 +1978,46,1,other external,15-17 yrs,7,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,16.20332908630371 +1978,46,1,internal,15-17 yrs,4,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,9.259044647216797 +1978,46,1,all,18-20 yrs,52,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,120.06465148925781 +1978,46,1,MVA,18-20 yrs,25,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,57.723388671875 +1978,46,1,suicide,18-20 yrs,5,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,11.544677734375 +1978,46,1,homicide,18-20 yrs,3,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,6.926806926727295 +1978,46,1,other external,18-20 yrs,11,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,25.398290634155273 +1978,46,1,internal,18-20 yrs,8,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,18.471485137939453 +1978,46,1,all,21-24 yrs,58,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,113.67645263671875 +1978,46,1,MVA,21-24 yrs,20,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,39.19877624511719 +1978,46,1,suicide,21-24 yrs,7,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,13.719572067260742 +1978,46,1,homicide,21-24 yrs,1,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,1.959938883781433 +1978,46,1,other external,21-24 yrs,18,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,35.278900146484375 +1978,46,1,internal,21-24 yrs,12,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,23.51926612854004 +1979,46,1,MVA,15-17 yrs,24,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,57.67705535888672 +1979,46,1,suicide,15-17 yrs,6,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,14.41926383972168 +1979,46,1,homicide,15-17 yrs,3,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,7.20963191986084 +1979,46,1,other external,15-17 yrs,8,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,19.225685119628906 +1979,46,1,internal,15-17 yrs,11,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,26.435317993164062 +1979,46,1,all,18-20 yrs,55,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,127.56581115722656 +1979,46,1,MVA,18-20 yrs,27,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,62.62321853637695 +1979,46,1,suicide,18-20 yrs,6,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,13.91627025604248 +1979,46,1,homicide,18-20 yrs,4,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,9.27751350402832 +1979,46,1,other external,18-20 yrs,8,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,18.55502700805664 +1979,46,1,internal,18-20 yrs,10,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,23.193784713745117 +1979,46,1,all,21-24 yrs,78,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,152.16543579101562 +1979,46,1,MVA,21-24 yrs,38,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,74.13187408447266 +1979,46,1,suicide,21-24 yrs,9,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,17.55755043029785 +1979,46,1,homicide,21-24 yrs,1,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,1.9508388042449951 +1979,46,1,other external,21-24 yrs,18,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,35.1151008605957 +1979,46,1,internal,21-24 yrs,12,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,23.410066604614258 +1980,46,1,MVA,15-17 yrs,28,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,71.22688293457031 +1980,46,1,suicide,15-17 yrs,5,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,12.719086647033691 +1980,46,1,homicide,15-17 yrs,3,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,7.631451606750488 +1980,46,1,other external,15-17 yrs,8,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,20.35053825378418 +1980,46,1,internal,15-17 yrs,4,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,10.17526912689209 +1980,46,1,all,18-20 yrs,56,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,130.1236114501953 +1980,46,1,MVA,18-20 yrs,26,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,60.41453552246094 +1980,46,1,suicide,18-20 yrs,9,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,20.912723541259766 +1980,46,1,homicide,18-20 yrs,0,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,0 +1980,46,1,other external,18-20 yrs,11,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,25.559995651245117 +1980,46,1,internal,18-20 yrs,10,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,23.236360549926758 +1980,46,1,all,21-24 yrs,63,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,120.46810150146484 +1980,46,1,MVA,21-24 yrs,32,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,61.190147399902344 +1980,46,1,suicide,21-24 yrs,5,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,9.56096076965332 +1980,46,1,homicide,21-24 yrs,4,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,7.648768424987793 +1980,46,1,other external,21-24 yrs,12,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,22.946306228637695 +1980,46,1,internal,21-24 yrs,10,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,19.12192153930664 +1981,46,1,MVA,15-17 yrs,22,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,60.25581359863281 +1981,46,1,suicide,15-17 yrs,3,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,8.21670150756836 +1981,46,1,homicide,15-17 yrs,1,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,2.738900661468506 +1981,46,1,other external,15-17 yrs,5,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,13.694502830505371 +1981,46,1,internal,15-17 yrs,10,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,27.389005661010742 +1981,46,1,all,18-20 yrs,44,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,105.28330993652344 +1981,46,1,MVA,18-20 yrs,24,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,57.4272575378418 +1981,46,1,suicide,18-20 yrs,5,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,11.964012145996094 +1981,46,1,homicide,18-20 yrs,3,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,7.178407192230225 +1981,46,1,other external,18-20 yrs,6,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,14.35681438446045 +1981,46,1,internal,18-20 yrs,6,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,14.35681438446045 +1981,46,1,all,21-24 yrs,68,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,128.08920288085938 +1981,46,1,MVA,21-24 yrs,33,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,62.16094207763672 +1981,46,1,suicide,21-24 yrs,10,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,18.83664894104004 +1981,46,1,homicide,21-24 yrs,5,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,9.41832447052002 +1981,46,1,other external,21-24 yrs,8,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,15.069318771362305 +1981,46,1,internal,21-24 yrs,12,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,22.603979110717773 +1982,46,1,MVA,15-17 yrs,8,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,23.652544021606445 +1982,46,1,suicide,15-17 yrs,6,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,17.739408493041992 +1982,46,1,homicide,15-17 yrs,3,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,8.869704246520996 +1982,46,1,other external,15-17 yrs,8,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,23.652544021606445 +1982,46,1,internal,15-17 yrs,2,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,5.913136005401611 +1982,46,1,all,18-20 yrs,43,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,107.10905456542969 +1982,46,1,MVA,18-20 yrs,16,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,39.854530334472656 +1982,46,1,suicide,18-20 yrs,3,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,7.472724437713623 +1982,46,1,homicide,18-20 yrs,4,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,9.963632583618164 +1982,46,1,other external,18-20 yrs,12,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,29.890897750854492 +1982,46,1,internal,18-20 yrs,8,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,19.927265167236328 +1982,46,1,all,21-24 yrs,60,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,111.66529846191406 +1982,46,1,MVA,21-24 yrs,30,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,55.83264923095703 +1982,46,1,suicide,21-24 yrs,10,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,18.610883712768555 +1982,46,1,homicide,21-24 yrs,4,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,7.4443535804748535 +1982,46,1,other external,21-24 yrs,7,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,13.027618408203125 +1982,46,1,internal,21-24 yrs,9,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,16.74979591369629 +1983,46,1,MVA,15-17 yrs,11,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,34.42771911621094 +1983,46,1,suicide,15-17 yrs,6,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,18.77875518798828 +1983,46,1,homicide,15-17 yrs,1,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,3.1297924518585205 +1983,46,1,other external,15-17 yrs,2,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,6.259584903717041 +1983,46,1,internal,15-17 yrs,10,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,31.297924041748047 +1983,46,1,all,18-20 yrs,36,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,93.68656921386719 +1983,46,1,MVA,18-20 yrs,13,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,33.831260681152344 +1983,46,1,suicide,18-20 yrs,6,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,15.61442756652832 +1983,46,1,homicide,18-20 yrs,0,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,0 +1983,46,1,other external,18-20 yrs,9,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,23.421642303466797 +1983,46,1,internal,18-20 yrs,8,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,20.819236755371094 +1983,46,1,all,21-24 yrs,45,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,84.12944793701172 +1983,46,1,MVA,21-24 yrs,21,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,39.26041030883789 +1983,46,1,suicide,21-24 yrs,5,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,9.347716331481934 +1983,46,1,homicide,21-24 yrs,2,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,3.739086627960205 +1983,46,1,other external,21-24 yrs,10,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,18.695432662963867 +1983,46,1,internal,21-24 yrs,7,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,13.08680248260498 +1984,46,0.8492276668548584,MVA,15-17 yrs,12,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,38.133975982666016 +1984,46,0.8492276668548584,suicide,15-17 yrs,5,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,15.88915729522705 +1984,46,0.8492276668548584,homicide,15-17 yrs,0,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,0 +1984,46,0.8492276668548584,other external,15-17 yrs,6,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,19.066987991333008 +1984,46,0.8492276668548584,internal,15-17 yrs,3,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,9.533493995666504 +1984,46,0.8492276668548584,all,18-20 yrs,44,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,121.98503112792969 +1984,46,0.8492276668548584,MVA,18-20 yrs,19,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,52.67535400390625 +1984,46,0.8492276668548584,suicide,18-20 yrs,6,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,16.634321212768555 +1984,46,0.8492276668548584,homicide,18-20 yrs,3,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,8.317160606384277 +1984,46,0.8492276668548584,other external,18-20 yrs,11,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,30.496257781982422 +1984,46,0.8492276668548584,internal,18-20 yrs,5,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,13.861934661865234 +1984,46,0.8492276668548584,all,21-24 yrs,46,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,87.12781524658203 +1984,46,0.8492276668548584,MVA,21-24 yrs,22,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,41.669822692871094 +1984,46,0.8492276668548584,suicide,21-24 yrs,11,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,20.834911346435547 +1984,46,0.8492276668548584,homicide,21-24 yrs,0,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,0 +1984,46,0.8492276668548584,other external,21-24 yrs,7,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,13.258580207824707 +1984,46,0.8492276668548584,internal,21-24 yrs,6,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,11.364497184753418 +1985,46,0.6924275755882263,MVA,15-17 yrs,10,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,31.546735763549805 +1985,46,0.6924275755882263,suicide,15-17 yrs,5,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,15.773367881774902 +1985,46,0.6924275755882263,homicide,15-17 yrs,0,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,0 +1985,46,0.6924275755882263,other external,15-17 yrs,4,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,12.618694305419922 +1985,46,0.6924275755882263,internal,15-17 yrs,5,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,15.773367881774902 +1985,46,0.6924275755882263,all,18-20 yrs,29,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,86.90180206298828 +1985,46,0.6924275755882263,MVA,18-20 yrs,8,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,23.972909927368164 +1985,46,0.6924275755882263,suicide,18-20 yrs,5,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,14.98306941986084 +1985,46,0.6924275755882263,homicide,18-20 yrs,4,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,11.986454963684082 +1985,46,0.6924275755882263,other external,18-20 yrs,8,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,23.972909927368164 +1985,46,0.6924275755882263,internal,18-20 yrs,4,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,11.986454963684082 +1985,46,0.6924275755882263,all,21-24 yrs,58,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,113.77010345458984 +1985,46,0.6924275755882263,MVA,21-24 yrs,24,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,47.07728576660156 +1985,46,0.6924275755882263,suicide,21-24 yrs,11,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,21.577089309692383 +1985,46,0.6924275755882263,homicide,21-24 yrs,2,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,3.923107147216797 +1985,46,0.6924275755882263,other external,21-24 yrs,10,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,19.615535736083984 +1985,46,0.6924275755882263,internal,21-24 yrs,11,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,21.577089309692383 +1986,46,0.6819666028022766,MVA,15-17 yrs,7,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,21.651716232299805 +1986,46,0.6819666028022766,suicide,15-17 yrs,11,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,34.02412796020508 +1986,46,0.6819666028022766,homicide,15-17 yrs,1,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,3.09310245513916 +1986,46,0.6819666028022766,other external,15-17 yrs,5,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,15.4655122756958 +1986,46,0.6819666028022766,internal,15-17 yrs,7,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,21.651716232299805 +1986,46,0.6819666028022766,all,18-20 yrs,38,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,121.63113403320312 +1986,46,0.6819666028022766,MVA,18-20 yrs,14,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,44.81147003173828 +1986,46,0.6819666028022766,suicide,18-20 yrs,10,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,32.00819396972656 +1986,46,0.6819666028022766,homicide,18-20 yrs,0,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,0 +1986,46,0.6819666028022766,other external,18-20 yrs,5,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,16.00409698486328 +1986,46,0.6819666028022766,internal,18-20 yrs,9,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,28.807374954223633 +1986,46,0.6819666028022766,all,21-24 yrs,54,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,113.01799774169922 +1986,46,0.6819666028022766,MVA,21-24 yrs,22,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,46.044368743896484 +1986,46,0.6819666028022766,suicide,21-24 yrs,12,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,25.115110397338867 +1986,46,0.6819666028022766,homicide,21-24 yrs,7,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,14.650481224060059 +1986,46,0.6819666028022766,other external,21-24 yrs,6,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,12.557555198669434 +1986,46,0.6819666028022766,internal,21-24 yrs,7,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,14.650481224060059 +1987,46,0.6698997616767883,MVA,15-17 yrs,9,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,28.222013473510742 +1987,46,0.6698997616767883,suicide,15-17 yrs,4,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,12.543116569519043 +1987,46,0.6698997616767883,homicide,15-17 yrs,1,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.1357791423797607 +1987,46,0.6698997616767883,other external,15-17 yrs,1,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.1357791423797607 +1987,46,0.6698997616767883,internal,15-17 yrs,7,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,21.950454711914062 +1987,46,0.6698997616767883,all,18-20 yrs,36,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,117.56637573242188 +1987,46,0.6698997616767883,MVA,18-20 yrs,15,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,48.98598861694336 +1987,46,0.6698997616767883,suicide,18-20 yrs,8,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,26.12586212158203 +1987,46,0.6698997616767883,homicide,18-20 yrs,1,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.265732765197754 +1987,46,0.6698997616767883,other external,18-20 yrs,5,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,16.328662872314453 +1987,46,0.6698997616767883,internal,18-20 yrs,7,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,22.86012840270996 +1987,46,0.6698997616767883,all,21-24 yrs,34,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,75.8014907836914 +1987,46,0.6698997616767883,MVA,21-24 yrs,17,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,37.9007453918457 +1987,46,0.6698997616767883,suicide,21-24 yrs,10,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,22.2945556640625 +1987,46,0.6698997616767883,homicide,21-24 yrs,2,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,4.458910942077637 +1987,46,0.6698997616767883,other external,21-24 yrs,3,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,6.688366889953613 +1987,46,0.6698997616767883,internal,21-24 yrs,2,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,4.458910942077637 +1988,46,0.16567519307136536,MVA,15-17 yrs,12,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,38.55421829223633 +1988,46,0.16567519307136536,suicide,15-17 yrs,7,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,22.489959716796875 +1988,46,0.16567519307136536,homicide,15-17 yrs,1,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,3.2128515243530273 +1988,46,0.16567519307136536,other external,15-17 yrs,6,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,19.277109146118164 +1988,46,0.16567519307136536,internal,15-17 yrs,0,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,0 +1988,46,0.16567519307136536,all,18-20 yrs,35,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,113.76564025878906 +1988,46,0.16567519307136536,MVA,18-20 yrs,18,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,58.5080451965332 +1988,46,0.16567519307136536,suicide,18-20 yrs,5,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,16.252235412597656 +1988,46,0.16567519307136536,homicide,18-20 yrs,4,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,13.001788139343262 +1988,46,0.16567519307136536,other external,18-20 yrs,5,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,16.252235412597656 +1988,46,0.16567519307136536,internal,18-20 yrs,3,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,9.751340866088867 +1988,46,0.16567519307136536,all,21-24 yrs,46,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,110.2324447631836 +1988,46,0.16567519307136536,MVA,21-24 yrs,18,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,43.134437561035156 +1988,46,0.16567519307136536,suicide,21-24 yrs,9,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,21.567218780517578 +1988,46,0.16567519307136536,homicide,21-24 yrs,8,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,19.170860290527344 +1988,46,0.16567519307136536,other external,21-24 yrs,5,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,11.98178768157959 +1988,46,0.16567519307136536,internal,21-24 yrs,6,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,14.378145217895508 +1989,46,0,MVA,15-17 yrs,8,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,26.678226470947266 +1989,46,0,suicide,15-17 yrs,6,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.008670806884766 +1989,46,0,homicide,15-17 yrs,0,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,0 +1989,46,0,other external,15-17 yrs,1,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,3.334778308868408 +1989,46,0,internal,15-17 yrs,3,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,10.004335403442383 +1989,46,0,all,18-20 yrs,42,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,134.3140411376953 +1989,46,0,MVA,18-20 yrs,20,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,63.95906448364258 +1989,46,0,suicide,18-20 yrs,8,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,25.58362579345703 +1989,46,0,homicide,18-20 yrs,0,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,0 +1989,46,0,other external,18-20 yrs,8,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,25.58362579345703 +1989,46,0,internal,18-20 yrs,6,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,19.187719345092773 +1989,46,0,all,21-24 yrs,39,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,100.79863739013672 +1989,46,0,MVA,21-24 yrs,16,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,41.35328674316406 +1989,46,0,suicide,21-24 yrs,8,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.67664337158203 +1989,46,0,homicide,21-24 yrs,1,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,2.584580421447754 +1989,46,0,other external,21-24 yrs,8,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.67664337158203 +1989,46,0,internal,21-24 yrs,6,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,15.507482528686523 +1990,46,0,MVA,15-17 yrs,13,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,43.41582489013672 +1990,46,0,suicide,15-17 yrs,6,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,20.03807258605957 +1990,46,0,homicide,15-17 yrs,0,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,0 +1990,46,0,other external,15-17 yrs,8,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,26.717430114746094 +1990,46,0,internal,15-17 yrs,5,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,16.698392868041992 +1990,46,0,all,18-20 yrs,40,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,128.15994262695312 +1990,46,0,MVA,18-20 yrs,19,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,60.875972747802734 +1990,46,0,suicide,18-20 yrs,8,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,25.631988525390625 +1990,46,0,homicide,18-20 yrs,1,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,3.203998565673828 +1990,46,0,other external,18-20 yrs,3,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,9.611995697021484 +1990,46,0,internal,18-20 yrs,9,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,28.835987091064453 +1990,46,0,all,21-24 yrs,34,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,91.659027099609375 +1990,46,0,MVA,21-24 yrs,9,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,24.262683868408203 +1990,46,0,suicide,21-24 yrs,14,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,37.74195098876953 +1990,46,0,homicide,21-24 yrs,3,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,8.08756160736084 +1990,46,0,other external,21-24 yrs,2,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,5.391707420349121 +1990,46,0,internal,21-24 yrs,6,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,16.17512321472168 +1991,46,0,MVA,15-17 yrs,6,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,19.45777702331543 +1991,46,0,suicide,15-17 yrs,5,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,16.214813232421875 +1991,46,0,homicide,15-17 yrs,0,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,0 +1991,46,0,other external,15-17 yrs,3,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,9.728888511657715 +1991,46,0,internal,15-17 yrs,7,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,22.70073890686035 +1991,46,0,all,18-20 yrs,27,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,87.62535095214844 +1991,46,0,MVA,18-20 yrs,8,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,25.96306800842285 +1991,46,0,suicide,18-20 yrs,9,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,29.208450317382812 +1991,46,0,homicide,18-20 yrs,2,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,6.490767002105713 +1991,46,0,other external,18-20 yrs,4,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,12.981534004211426 +1991,46,0,internal,18-20 yrs,4,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,12.981534004211426 +1991,46,0,all,21-24 yrs,57,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,151.72891235351562 +1991,46,0,MVA,21-24 yrs,23,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,61.22394561767578 +1991,46,0,suicide,21-24 yrs,13,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,34.60483932495117 +1991,46,0,homicide,21-24 yrs,2,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,5.323821544647217 +1991,46,0,other external,21-24 yrs,9,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,23.957197189331055 +1991,46,0,internal,21-24 yrs,10,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,26.61910629272461 +1992,46,0,MVA,15-17 yrs,10,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,30.758819580078125 +1992,46,0,suicide,15-17 yrs,6,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,18.455291748046875 +1992,46,0,homicide,15-17 yrs,1,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,3.0758819580078125 +1992,46,0,other external,15-17 yrs,4,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,12.30352783203125 +1992,46,0,internal,15-17 yrs,4,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,12.30352783203125 +1992,46,0,all,18-20 yrs,35,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,115.29466247558594 +1992,46,0,MVA,18-20 yrs,19,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,62.588531494140625 +1992,46,0,suicide,18-20 yrs,8,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,26.353065490722656 +1992,46,0,homicide,18-20 yrs,0,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,0 +1992,46,0,other external,18-20 yrs,7,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,23.058931350708008 +1992,46,0,internal,18-20 yrs,1,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,3.294133186340332 +1992,46,0,all,21-24 yrs,35,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,91.2337417602539 +1992,46,0,MVA,21-24 yrs,14,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,36.49349594116211 +1992,46,0,suicide,21-24 yrs,9,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,23.46010398864746 +1992,46,0,homicide,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1992,46,0,other external,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1992,46,0,internal,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1993,46,0,MVA,15-17 yrs,12,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,35.741943359375 +1993,46,0,suicide,15-17 yrs,5,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,14.892476081848145 +1993,46,0,homicide,15-17 yrs,2,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.956990718841553 +1993,46,0,other external,15-17 yrs,3,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,8.93548583984375 +1993,46,0,internal,15-17 yrs,2,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.956990718841553 +1993,46,0,all,18-20 yrs,30,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,96.2525634765625 +1993,46,0,MVA,18-20 yrs,11,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,35.292606353759766 +1993,46,0,suicide,18-20 yrs,7,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,22.458932876586914 +1993,46,0,homicide,18-20 yrs,2,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,6.416837692260742 +1993,46,0,other external,18-20 yrs,6,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,19.250513076782227 +1993,46,0,internal,18-20 yrs,4,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,12.833675384521484 +1993,46,0,all,21-24 yrs,49,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,125.68292236328125 +1993,46,0,MVA,21-24 yrs,18,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,46.16923522949219 +1993,46,0,suicide,21-24 yrs,12,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,30.779491424560547 +1993,46,0,homicide,21-24 yrs,2,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.129915237426758 +1993,46,0,other external,21-24 yrs,8,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,20.51966094970703 +1993,46,0,internal,21-24 yrs,9,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,23.084617614746094 +1994,46,0,MVA,15-17 yrs,18,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,51.4344482421875 +1994,46,0,suicide,15-17 yrs,6,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,17.144817352294922 +1994,46,0,homicide,15-17 yrs,0,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,0 +1994,46,0,other external,15-17 yrs,4,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,11.429877281188965 +1994,46,0,internal,15-17 yrs,8,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,22.85975456237793 +1994,46,0,all,18-20 yrs,35,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,108.45651245117188 +1994,46,0,MVA,18-20 yrs,21,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,65.07390594482422 +1994,46,0,suicide,18-20 yrs,8,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,24.79006004333496 +1994,46,0,homicide,18-20 yrs,0,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,0 +1994,46,0,other external,18-20 yrs,2,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,6.19751501083374 +1994,46,0,internal,18-20 yrs,4,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,12.39503002166748 +1994,46,0,all,21-24 yrs,49,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,125.39987182617188 +1994,46,0,MVA,21-24 yrs,18,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,46.06525802612305 +1994,46,0,suicide,21-24 yrs,15,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,38.38771438598633 +1994,46,0,homicide,21-24 yrs,3,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,7.6775431632995605 +1994,46,0,other external,21-24 yrs,8,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,20.473447799682617 +1994,46,0,internal,21-24 yrs,5,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,12.795905113220215 +1995,46,0,MVA,15-17 yrs,10,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,27.452163696289062 +1995,46,0,suicide,15-17 yrs,7,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,19.216514587402344 +1995,46,0,homicide,15-17 yrs,0,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,0 +1995,46,0,other external,15-17 yrs,7,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,19.216514587402344 +1995,46,0,internal,15-17 yrs,3,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,8.235649108886719 +1995,46,0,all,18-20 yrs,24,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,71.04375457763672 +1995,46,0,MVA,18-20 yrs,9,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,26.641407012939453 +1995,46,0,suicide,18-20 yrs,5,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,14.80078125 +1995,46,0,homicide,18-20 yrs,0,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,0 +1995,46,0,other external,18-20 yrs,6,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,17.76093864440918 +1995,46,0,internal,18-20 yrs,4,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,11.840624809265137 +1995,46,0,all,21-24 yrs,41,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,105.62382507324219 +1995,46,0,MVA,21-24 yrs,19,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,48.94762420654297 +1995,46,0,suicide,21-24 yrs,6,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,15.457144737243652 +1995,46,0,homicide,21-24 yrs,2,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,5.152381896972656 +1995,46,0,other external,21-24 yrs,8,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,20.609527587890625 +1995,46,0,internal,21-24 yrs,6,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,15.457144737243652 +1996,46,0,MVA,15-17 yrs,18,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,48.087196350097656 +1996,46,0,suicide,15-17 yrs,6,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,16.02906608581543 +1996,46,0,homicide,15-17 yrs,2,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.343021869659424 +1996,46,0,other external,15-17 yrs,5,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,13.357555389404297 +1996,46,0,internal,15-17 yrs,4,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,10.686043739318848 +1996,46,0,all,18-20 yrs,32,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,92.07838439941406 +1996,46,0,MVA,18-20 yrs,15,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,43.1617431640625 +1996,46,0,suicide,18-20 yrs,8,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,23.019596099853516 +1996,46,0,homicide,18-20 yrs,2,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.754899024963379 +1996,46,0,other external,18-20 yrs,6,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,17.26469612121582 +1996,46,0,internal,18-20 yrs,1,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,2.8774495124816895 +1996,46,0,all,21-24 yrs,28,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,72.41129302978516 +1996,46,0,MVA,21-24 yrs,13,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,33.619529724121094 +1996,46,0,suicide,21-24 yrs,8,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,20.688941955566406 +1996,46,0,homicide,21-24 yrs,1,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,2.586117744445801 +1996,46,0,other external,21-24 yrs,2,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.172235488891602 +1996,46,0,internal,21-24 yrs,4,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,10.344470977783203 +1970,47,0,MVA,15-17 yrs,125,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,54.524436950683594 +1970,47,0,suicide,15-17 yrs,8,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,3.4895639419555664 +1970,47,0,homicide,15-17 yrs,8,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,3.4895639419555664 +1970,47,0,other external,15-17 yrs,49,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,21.373579025268555 +1970,47,0,internal,15-17 yrs,76,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,33.15085983276367 +1970,47,0,all,18-20 yrs,349,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,158.56861877441406 +1970,47,0,MVA,18-20 yrs,165,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,74.96797180175781 +1970,47,0,suicide,18-20 yrs,16,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,7.2696213722229 +1970,47,0,homicide,18-20 yrs,24,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,10.904431343078613 +1970,47,0,other external,18-20 yrs,50,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,22.717565536499023 +1970,47,0,internal,18-20 yrs,94,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,42.709022521972656 +1970,47,0,all,21-24 yrs,447,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,177.890625 +1970,47,0,MVA,21-24 yrs,191,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,76.01142883300781 +1970,47,0,suicide,21-24 yrs,27,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,10.745071411132812 +1970,47,0,homicide,21-24 yrs,46,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,18.30641746520996 +1970,47,0,other external,21-24 yrs,55,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,21.888107299804688 +1970,47,0,internal,21-24 yrs,128,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,50.939598083496094 +1971,47,0.6712328791618347,MVA,15-17 yrs,131,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,55.30623245239258 +1971,47,0.6712328791618347,suicide,15-17 yrs,10,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,4.2218499183654785 +1971,47,0.6712328791618347,homicide,15-17 yrs,14,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,5.910589694976807 +1971,47,0.6712328791618347,other external,15-17 yrs,55,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,23.220172882080078 +1971,47,0.6712328791618347,internal,15-17 yrs,77,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,32.508243560791016 +1971,47,0.6712328791618347,all,18-20 yrs,364,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,163.19723510742188 +1971,47,0.6712328791618347,MVA,18-20 yrs,181,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,81.1502685546875 +1971,47,0.6712328791618347,suicide,18-20 yrs,19,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,8.518536567687988 +1971,47,0.6712328791618347,homicide,18-20 yrs,24,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,10.76025676727295 +1971,47,0.6712328791618347,other external,18-20 yrs,58,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,26.00395393371582 +1971,47,0.6712328791618347,internal,18-20 yrs,82,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,36.76420974731445 +1971,47,0.6712328791618347,all,21-24 yrs,470,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,166.93423461914062 +1971,47,0.6712328791618347,MVA,21-24 yrs,171,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,60.73564910888672 +1971,47,0.6712328791618347,suicide,21-24 yrs,30,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,10.655376434326172 +1971,47,0.6712328791618347,homicide,21-24 yrs,66,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,23.441829681396484 +1971,47,0.6712328791618347,other external,21-24 yrs,71,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,25.21772575378418 +1971,47,0.6712328791618347,internal,21-24 yrs,132,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,46.88365936279297 +1972,47,1,MVA,15-17 yrs,110,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,45.26451110839844 +1972,47,1,suicide,15-17 yrs,12,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,4.937946319580078 +1972,47,1,homicide,15-17 yrs,14,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,5.760937690734863 +1972,47,1,other external,15-17 yrs,66,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,27.15870475769043 +1972,47,1,internal,15-17 yrs,82,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,33.74263381958008 +1972,47,1,all,18-20 yrs,390,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,171.91749572753906 +1972,47,1,MVA,18-20 yrs,194,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,85.51793670654297 +1972,47,1,suicide,18-20 yrs,30,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,13.224422454833984 +1972,47,1,homicide,18-20 yrs,32,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,14.106051445007324 +1972,47,1,other external,18-20 yrs,70,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,30.85698699951172 +1972,47,1,internal,18-20 yrs,64,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,28.21210289001465 +1972,47,1,all,21-24 yrs,472,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,164.21160888671875 +1972,47,1,MVA,21-24 yrs,198,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,68.8853759765625 +1972,47,1,suicide,21-24 yrs,26,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,9.045555114746094 +1972,47,1,homicide,21-24 yrs,80,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,27.832475662231445 +1972,47,1,other external,21-24 yrs,76,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,26.440853118896484 +1972,47,1,internal,21-24 yrs,92,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,32.007347106933594 +1973,47,1,MVA,15-17 yrs,157,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,64.14263153076172 +1973,47,1,suicide,15-17 yrs,8,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,3.2684144973754883 +1973,47,1,homicide,15-17 yrs,17,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,6.945380687713623 +1973,47,1,other external,15-17 yrs,57,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,23.287452697753906 +1973,47,1,internal,15-17 yrs,74,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,30.232833862304688 +1973,47,1,all,18-20 yrs,385,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,166.4742431640625 +1973,47,1,MVA,18-20 yrs,173,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,74.80531311035156 +1973,47,1,suicide,18-20 yrs,23,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,9.945215225219727 +1973,47,1,homicide,18-20 yrs,33,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,14.269221305847168 +1973,47,1,other external,18-20 yrs,63,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,27.241241455078125 +1973,47,1,internal,18-20 yrs,93,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,40.213260650634766 +1973,47,1,all,21-24 yrs,475,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,161.58441162109375 +1973,47,1,MVA,21-24 yrs,155,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,52.72754669189453 +1973,47,1,suicide,21-24 yrs,41,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,13.947285652160645 +1973,47,1,homicide,21-24 yrs,64,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,21.771373748779297 +1973,47,1,other external,21-24 yrs,97,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,32.99723815917969 +1973,47,1,internal,21-24 yrs,118,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,40.140968322753906 +1974,47,1,MVA,15-17 yrs,145,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,58.580650329589844 +1974,47,1,suicide,15-17 yrs,12,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,4.848053932189941 +1974,47,1,homicide,15-17 yrs,11,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,4.44404935836792 +1974,47,1,other external,15-17 yrs,61,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,24.64427375793457 +1974,47,1,internal,15-17 yrs,50,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,20.200223922729492 +1974,47,1,all,18-20 yrs,362,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,150.35595703125 +1974,47,1,MVA,18-20 yrs,156,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,64.794281005859375 +1974,47,1,suicide,18-20 yrs,24,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,9.968350410461426 +1974,47,1,homicide,18-20 yrs,41,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,17.029266357421875 +1974,47,1,other external,18-20 yrs,57,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,23.674833297729492 +1974,47,1,internal,18-20 yrs,84,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,34.889225006103516 +1974,47,1,all,21-24 yrs,477,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,160.3436737060547 +1974,47,1,MVA,21-24 yrs,147,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,49.41408920288086 +1974,47,1,suicide,21-24 yrs,47,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,15.799062728881836 +1974,47,1,homicide,21-24 yrs,77,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,25.88357162475586 +1974,47,1,other external,21-24 yrs,79,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,26.555871963500977 +1974,47,1,internal,21-24 yrs,127,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,42.69108581542969 +1975,47,1,MVA,15-17 yrs,123,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,49.42081069946289 +1975,47,1,suicide,15-17 yrs,15,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,6.026928424835205 +1975,47,1,homicide,15-17 yrs,17,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,6.83051872253418 +1975,47,1,other external,15-17 yrs,66,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,26.518484115600586 +1975,47,1,internal,15-17 yrs,69,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,27.72386932373047 +1975,47,1,all,18-20 yrs,403,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,162.69615173339844 +1975,47,1,MVA,18-20 yrs,181,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,73.07196807861328 +1975,47,1,suicide,18-20 yrs,30,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,12.11137580871582 +1975,47,1,homicide,18-20 yrs,42,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,16.9559268951416 +1975,47,1,other external,18-20 yrs,72,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,29.067302703857422 +1975,47,1,internal,18-20 yrs,78,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,31.489578247070312 +1975,47,1,all,21-24 yrs,443,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,146.26593017578125 +1975,47,1,MVA,21-24 yrs,131,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,43.2524528503418 +1975,47,1,suicide,21-24 yrs,51,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,16.838741302490234 +1975,47,1,homicide,21-24 yrs,73,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,24.10251235961914 +1975,47,1,other external,21-24 yrs,80,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,26.413711547851562 +1975,47,1,internal,21-24 yrs,108,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,35.658512115478516 +1976,47,1,MVA,15-17 yrs,125,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,49.670387268066406 +1976,47,1,suicide,15-17 yrs,11,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,4.3709940910339355 +1976,47,1,homicide,15-17 yrs,13,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,5.165720462799072 +1976,47,1,other external,15-17 yrs,47,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,18.67606544494629 +1976,47,1,internal,15-17 yrs,74,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,29.404869079589844 +1976,47,1,all,18-20 yrs,369,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,145.78065490722656 +1976,47,1,MVA,18-20 yrs,165,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,65.18647003173828 +1976,47,1,suicide,18-20 yrs,32,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,12.64222526550293 +1976,47,1,homicide,18-20 yrs,39,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,15.40771198272705 +1976,47,1,other external,18-20 yrs,59,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,23.30910301208496 +1976,47,1,internal,18-20 yrs,74,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,29.235145568847656 +1976,47,1,all,21-24 yrs,434,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,140.63238525390625 +1976,47,1,MVA,21-24 yrs,141,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,45.689327239990234 +1976,47,1,suicide,21-24 yrs,45,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,14.58169937133789 +1976,47,1,homicide,21-24 yrs,59,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,19.118228912353516 +1976,47,1,other external,21-24 yrs,89,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,28.8393611907959 +1976,47,1,internal,21-24 yrs,100,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,32.403778076171875 +1977,47,1,MVA,15-17 yrs,117,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,46.19047164916992 +1977,47,1,suicide,15-17 yrs,16,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,6.316645622253418 +1977,47,1,homicide,15-17 yrs,17,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,6.711435794830322 +1977,47,1,other external,15-17 yrs,37,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,14.607242584228516 +1977,47,1,internal,15-17 yrs,62,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,24.477001190185547 +1977,47,1,all,18-20 yrs,372,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,144.1865997314453 +1977,47,1,MVA,18-20 yrs,170,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,65.89173126220703 +1977,47,1,suicide,18-20 yrs,27,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,10.465156555175781 +1977,47,1,homicide,18-20 yrs,37,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,14.341140747070312 +1977,47,1,other external,18-20 yrs,73,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,28.2946834564209 +1977,47,1,internal,18-20 yrs,65,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,25.19389533996582 +1977,47,1,all,21-24 yrs,481,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,152.4375762939453 +1977,47,1,MVA,21-24 yrs,177,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,56.0944938659668 +1977,47,1,suicide,21-24 yrs,49,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,15.528984069824219 +1977,47,1,homicide,21-24 yrs,67,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,21.233509063720703 +1977,47,1,other external,21-24 yrs,86,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,27.25495147705078 +1977,47,1,internal,21-24 yrs,102,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,32.32563781738281 +1978,47,1,MVA,15-17 yrs,110,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,43.18212890625 +1978,47,1,suicide,15-17 yrs,16,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,6.281037330627441 +1978,47,1,homicide,15-17 yrs,13,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,5.103342533111572 +1978,47,1,other external,15-17 yrs,39,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,15.310028076171875 +1978,47,1,internal,15-17 yrs,70,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,27.479537963867188 +1978,47,1,all,18-20 yrs,424,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,162.57606506347656 +1978,47,1,MVA,18-20 yrs,191,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,73.23591613769531 +1978,47,1,suicide,18-20 yrs,29,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,11.119588851928711 +1978,47,1,homicide,18-20 yrs,32,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,12.269891738891602 +1978,47,1,other external,18-20 yrs,80,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,30.674728393554688 +1978,47,1,internal,18-20 yrs,92,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,35.27593994140625 +1978,47,1,all,21-24 yrs,496,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,152.15237426757812 +1978,47,1,MVA,21-24 yrs,196,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,60.12472915649414 +1978,47,1,suicide,21-24 yrs,45,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,13.804146766662598 +1978,47,1,homicide,21-24 yrs,62,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,19.019046783447266 +1978,47,1,other external,21-24 yrs,88,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,26.994775772094727 +1978,47,1,internal,21-24 yrs,105,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,32.20967483520508 +1979,47,0.806653618812561,MVA,15-17 yrs,96,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,37.66773986816406 +1979,47,0.806653618812561,suicide,15-17 yrs,17,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,6.670328617095947 +1979,47,0.806653618812561,homicide,15-17 yrs,16,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,6.277956485748291 +1979,47,0.806653618812561,other external,15-17 yrs,43,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,16.872007369995117 +1979,47,0.806653618812561,internal,15-17 yrs,56,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,21.97284698486328 +1979,47,0.806653618812561,all,18-20 yrs,412,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,156.04818725585938 +1979,47,0.806653618812561,MVA,18-20 yrs,174,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,65.90384674072266 +1979,47,0.806653618812561,suicide,18-20 yrs,36,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,13.635278701782227 +1979,47,0.806653618812561,homicide,18-20 yrs,38,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,14.392794609069824 +1979,47,0.806653618812561,other external,18-20 yrs,63,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,23.861738204956055 +1979,47,0.806653618812561,internal,18-20 yrs,101,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,38.25453186035156 +1979,47,0.806653618812561,all,21-24 yrs,495,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,149.35009765625 +1979,47,0.806653618812561,MVA,21-24 yrs,189,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,57.02458572387695 +1979,47,0.806653618812561,suicide,21-24 yrs,62,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,18.706478118896484 +1979,47,0.806653618812561,homicide,21-24 yrs,62,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,18.706478118896484 +1979,47,0.806653618812561,other external,21-24 yrs,82,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,24.740825653076172 +1979,47,0.806653618812561,internal,21-24 yrs,100,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,30.171737670898438 +1980,47,0.6757730841636658,MVA,15-17 yrs,105,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,41.803524017333984 +1980,47,0.6757730841636658,suicide,15-17 yrs,9,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,3.5831592082977295 +1980,47,0.6757730841636658,homicide,15-17 yrs,11,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,4.3794169425964355 +1980,47,0.6757730841636658,other external,15-17 yrs,50,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,19.90643882751465 +1980,47,0.6757730841636658,internal,15-17 yrs,57,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,22.693342208862305 +1980,47,0.6757730841636658,all,18-20 yrs,371,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,139.72213745117188 +1980,47,0.6757730841636658,MVA,18-20 yrs,174,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,65.530059814453125 +1980,47,0.6757730841636658,suicide,18-20 yrs,32,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,12.051505088806152 +1980,47,0.6757730841636658,homicide,18-20 yrs,45,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,16.947429656982422 +1980,47,0.6757730841636658,other external,18-20 yrs,65,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,24.4796199798584 +1980,47,0.6757730841636658,internal,18-20 yrs,55,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,20.713523864746094 +1980,47,0.6757730841636658,all,21-24 yrs,510,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,151.50885009765625 +1980,47,0.6757730841636658,MVA,21-24 yrs,184,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,54.662017822265625 +1980,47,0.6757730841636658,suicide,21-24 yrs,52,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,15.44796085357666 +1980,47,0.6757730841636658,homicide,21-24 yrs,87,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,25.845626831054688 +1980,47,0.6757730841636658,other external,21-24 yrs,89,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,26.43977928161621 +1980,47,0.6757730841636658,internal,21-24 yrs,98,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,29.11346435546875 +1981,47,0.6833317875862122,MVA,15-17 yrs,106,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,43.72883224487305 +1981,47,0.6833317875862122,suicide,15-17 yrs,18,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,7.425650596618652 +1981,47,0.6833317875862122,homicide,15-17 yrs,18,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,7.425650596618652 +1981,47,0.6833317875862122,other external,15-17 yrs,36,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,14.851301193237305 +1981,47,0.6833317875862122,internal,15-17 yrs,38,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,15.676373481750488 +1981,47,0.6833317875862122,all,18-20 yrs,316,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,120.56282806396484 +1981,47,0.6833317875862122,MVA,18-20 yrs,152,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,57.99224853515625 +1981,47,0.6833317875862122,suicide,18-20 yrs,30,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,11.44583797454834 +1981,47,0.6833317875862122,homicide,18-20 yrs,28,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,10.682782173156738 +1981,47,0.6833317875862122,other external,18-20 yrs,36,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,13.735006332397461 +1981,47,0.6833317875862122,internal,18-20 yrs,70,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,26.70695686340332 +1981,47,0.6833317875862122,all,21-24 yrs,414,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,121.50489807128906 +1981,47,0.6833317875862122,MVA,21-24 yrs,154,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,45.19747543334961 +1981,47,0.6833317875862122,suicide,21-24 yrs,60,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,17.609405517578125 +1981,47,0.6833317875862122,homicide,21-24 yrs,68,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,19.957326889038086 +1981,47,0.6833317875862122,other external,21-24 yrs,40,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,11.739603996276855 +1981,47,0.6833317875862122,internal,21-24 yrs,92,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,27.001089096069336 +1982,47,0.6769021153450012,MVA,15-17 yrs,102,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,44.16865539550781 +1982,47,0.6769021153450012,suicide,15-17 yrs,6,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,2.598156213760376 +1982,47,0.6769021153450012,homicide,15-17 yrs,14,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,6.06236457824707 +1982,47,0.6769021153450012,other external,15-17 yrs,36,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,15.588936805725098 +1982,47,0.6769021153450012,internal,15-17 yrs,48,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,20.785249710083008 +1982,47,0.6769021153450012,all,18-20 yrs,326,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,127.1148452758789 +1982,47,0.6769021153450012,MVA,18-20 yrs,160,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,62.38765335083008 +1982,47,0.6769021153450012,suicide,18-20 yrs,26,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,10.137993812561035 +1982,47,0.6769021153450012,homicide,18-20 yrs,32,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,12.477530479431152 +1982,47,0.6769021153450012,other external,18-20 yrs,48,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,18.71629524230957 +1982,47,0.6769021153450012,internal,18-20 yrs,60,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,23.395370483398438 +1982,47,0.6769021153450012,all,21-24 yrs,436,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,127.0966567993164 +1982,47,0.6769021153450012,MVA,21-24 yrs,152,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,44.30892562866211 +1982,47,0.6769021153450012,suicide,21-24 yrs,40,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,11.66024398803711 +1982,47,0.6769021153450012,homicide,21-24 yrs,64,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,18.656389236450195 +1982,47,0.6769021153450012,other external,21-24 yrs,74,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,21.57145118713379 +1982,47,0.6769021153450012,internal,21-24 yrs,106,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,30.899646759033203 +1983,47,0.6810385584831238,MVA,15-17 yrs,62,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,28.091415405273438 +1983,47,0.6810385584831238,suicide,15-17 yrs,17,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,7.702484607696533 +1983,47,0.6810385584831238,homicide,15-17 yrs,4,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,1.8123493194580078 +1983,47,0.6810385584831238,other external,15-17 yrs,31,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,14.045707702636719 +1983,47,0.6810385584831238,internal,15-17 yrs,47,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,21.29510498046875 +1983,47,0.6810385584831238,all,18-20 yrs,336,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,134.1129913330078 +1983,47,0.6810385584831238,MVA,18-20 yrs,176,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,70.249664306640625 +1983,47,0.6810385584831238,suicide,18-20 yrs,30,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,11.974374771118164 +1983,47,0.6810385584831238,homicide,18-20 yrs,37,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,14.76839542388916 +1983,47,0.6810385584831238,other external,18-20 yrs,39,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,15.56668758392334 +1983,47,0.6810385584831238,internal,18-20 yrs,54,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,21.553874969482422 +1983,47,0.6810385584831238,all,21-24 yrs,423,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,123.4214859008789 +1983,47,0.6810385584831238,MVA,21-24 yrs,148,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,43.18293380737305 +1983,47,0.6810385584831238,suicide,21-24 yrs,52,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,15.172381401062012 +1983,47,0.6810385584831238,homicide,21-24 yrs,64,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,18.6737003326416 +1983,47,0.6810385584831238,other external,21-24 yrs,71,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,20.716136932373047 +1983,47,0.6810385584831238,internal,21-24 yrs,88,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,25.67633819580078 +1984,47,0.6607020497322083,MVA,15-17 yrs,68,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,31.11003303527832 +1984,47,0.6607020497322083,suicide,15-17 yrs,8,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,3.660003900527954 +1984,47,0.6607020497322083,homicide,15-17 yrs,11,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,5.032505512237549 +1984,47,0.6607020497322083,other external,15-17 yrs,25,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,11.437512397766113 +1984,47,0.6607020497322083,internal,15-17 yrs,44,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,20.130022048950195 +1984,47,0.6607020497322083,all,18-20 yrs,330,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,135.55368041992188 +1984,47,0.6607020497322083,MVA,18-20 yrs,170,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,69.83068084716797 +1984,47,0.6607020497322083,suicide,18-20 yrs,37,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,15.198442459106445 +1984,47,0.6607020497322083,homicide,18-20 yrs,25,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,10.269217491149902 +1984,47,0.6607020497322083,other external,18-20 yrs,37,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,15.198442459106445 +1984,47,0.6607020497322083,internal,18-20 yrs,61,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,25.05689239501953 +1984,47,0.6607020497322083,all,21-24 yrs,438,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,128.81936645507812 +1984,47,0.6607020497322083,MVA,21-24 yrs,173,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,50.880706787109375 +1984,47,0.6607020497322083,suicide,21-24 yrs,70,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,20.587568283081055 +1984,47,0.6607020497322083,homicide,21-24 yrs,48,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,14.11719036102295 +1984,47,0.6607020497322083,other external,21-24 yrs,63,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,18.528812408447266 +1984,47,0.6607020497322083,internal,21-24 yrs,84,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,24.7050838470459 +1985,47,0.3774188458919525,MVA,15-17 yrs,66,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,29.847640991210938 +1985,47,0.3774188458919525,suicide,15-17 yrs,16,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,7.2357916831970215 +1985,47,0.3774188458919525,homicide,15-17 yrs,12,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,5.426844120025635 +1985,47,0.3774188458919525,other external,15-17 yrs,22,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,9.949213981628418 +1985,47,0.3774188458919525,internal,15-17 yrs,39,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,17.637243270874023 +1985,47,0.3774188458919525,all,18-20 yrs,302,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,128.94686889648438 +1985,47,0.3774188458919525,MVA,18-20 yrs,130,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,55.506927490234375 +1985,47,0.3774188458919525,suicide,18-20 yrs,39,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,16.65207862854004 +1985,47,0.3774188458919525,homicide,18-20 yrs,26,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,11.101385116577148 +1985,47,0.3774188458919525,other external,18-20 yrs,41,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,17.506031036376953 +1985,47,0.3774188458919525,internal,18-20 yrs,66,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,28.18044090270996 +1985,47,0.3774188458919525,all,21-24 yrs,436,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,129.2502899169922 +1985,47,0.3774188458919525,MVA,21-24 yrs,190,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,56.324668884277344 +1985,47,0.3774188458919525,suicide,21-24 yrs,41,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,12.15427017211914 +1985,47,0.3774188458919525,homicide,21-24 yrs,50,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,14.822280883789062 +1985,47,0.3774188458919525,other external,21-24 yrs,53,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,15.711617469787598 +1985,47,0.3774188458919525,internal,21-24 yrs,102,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,30.23745346069336 +1986,47,0.05816126614809036,MVA,15-17 yrs,99,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,43.458221435546875 +1986,47,0.05816126614809036,suicide,15-17 yrs,10,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,4.389719486236572 +1986,47,0.05816126614809036,homicide,15-17 yrs,10,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,4.389719486236572 +1986,47,0.05816126614809036,other external,15-17 yrs,30,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,13.169157981872559 +1986,47,0.05816126614809036,internal,15-17 yrs,40,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,17.55887794494629 +1986,47,0.05816126614809036,all,18-20 yrs,341,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,151.44113159179688 +1986,47,0.05816126614809036,MVA,18-20 yrs,161,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,71.50153350830078 +1986,47,0.05816126614809036,suicide,18-20 yrs,32,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,14.211484909057617 +1986,47,0.05816126614809036,homicide,18-20 yrs,47,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,20.873117446899414 +1986,47,0.05816126614809036,other external,18-20 yrs,53,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,23.537771224975586 +1986,47,0.05816126614809036,internal,18-20 yrs,48,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,21.31722640991211 +1986,47,0.05816126614809036,all,21-24 yrs,491,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,149.5405731201172 +1986,47,0.05816126614809036,MVA,21-24 yrs,190,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,57.86702346801758 +1986,47,0.05816126614809036,suicide,21-24 yrs,50,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,15.228163719177246 +1986,47,0.05816126614809036,homicide,21-24 yrs,83,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,25.278751373291016 +1986,47,0.05816126614809036,other external,21-24 yrs,70,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,21.319429397583008 +1986,47,0.05816126614809036,internal,21-24 yrs,98,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,29.847200393676758 +1987,47,0,MVA,15-17 yrs,109,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,47.82463836669922 +1987,47,0,suicide,15-17 yrs,18,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,7.897646427154541 +1987,47,0,homicide,15-17 yrs,16,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,7.020130157470703 +1987,47,0,other external,15-17 yrs,31,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,13.601502418518066 +1987,47,0,internal,15-17 yrs,43,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,18.866600036621094 +1987,47,0,all,18-20 yrs,331,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,147.09214782714844 +1987,47,0,MVA,18-20 yrs,159,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,70.657562255859375 +1987,47,0,suicide,18-20 yrs,33,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,14.664776802062988 +1987,47,0,homicide,18-20 yrs,41,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,18.219873428344727 +1987,47,0,other external,18-20 yrs,47,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,20.88619613647461 +1987,47,0,internal,18-20 yrs,51,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,22.663745880126953 +1987,47,0,all,21-24 yrs,423,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,132.6180877685547 +1987,47,0,MVA,21-24 yrs,168,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,52.671016693115234 +1987,47,0,suicide,21-24 yrs,44,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,13.794790267944336 +1987,47,0,homicide,21-24 yrs,74,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,23.200328826904297 +1987,47,0,other external,21-24 yrs,46,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,14.421825408935547 +1987,47,0,internal,21-24 yrs,91,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,28.530134201049805 +1988,47,0,MVA,15-17 yrs,83,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,37.303035736083984 +1988,47,0,suicide,15-17 yrs,21,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,9.438117027282715 +1988,47,0,homicide,15-17 yrs,8,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,3.595473289489746 +1988,47,0,other external,15-17 yrs,28,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,12.58415699005127 +1988,47,0,internal,15-17 yrs,47,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,21.12340545654297 +1988,47,0,all,18-20 yrs,321,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,140.0053253173828 +1988,47,0,MVA,18-20 yrs,181,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,78.94380950927734 +1988,47,0,suicide,18-20 yrs,20,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,8.72307300567627 +1988,47,0,homicide,18-20 yrs,38,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,16.57383918762207 +1988,47,0,other external,18-20 yrs,35,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,15.26537799835205 +1988,47,0,internal,18-20 yrs,47,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,20.499221801757812 +1988,47,0,all,21-24 yrs,433,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,140.29971313476562 +1988,47,0,MVA,21-24 yrs,173,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,56.055084228515625 +1988,47,0,suicide,21-24 yrs,56,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,18.14499855041504 +1988,47,0,homicide,21-24 yrs,57,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,18.46901512145996 +1988,47,0,other external,21-24 yrs,63,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,20.413122177124023 +1988,47,0,internal,21-24 yrs,84,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,27.217496871948242 +1989,47,0,MVA,15-17 yrs,68,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,32.11728286743164 +1989,47,0,suicide,15-17 yrs,22,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,10.390886306762695 +1989,47,0,homicide,15-17 yrs,9,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,4.25081729888916 +1989,47,0,other external,15-17 yrs,30,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.169390678405762 +1989,47,0,internal,15-17 yrs,45,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,21.254085540771484 +1989,47,0,all,18-20 yrs,304,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,128.01132202148438 +1989,47,0,MVA,18-20 yrs,156,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,65.69001770019531 +1989,47,0,suicide,18-20 yrs,29,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,12.2116060256958 +1989,47,0,homicide,18-20 yrs,35,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.738144874572754 +1989,47,0,other external,18-20 yrs,34,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.317055702209473 +1989,47,0,internal,18-20 yrs,50,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,21.054492950439453 +1989,47,0,all,21-24 yrs,370,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,124.76522064208984 +1989,47,0,MVA,21-24 yrs,127,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,42.8248176574707 +1989,47,0,suicide,21-24 yrs,45,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,15.174148559570312 +1989,47,0,homicide,21-24 yrs,48,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,16.185758590698242 +1989,47,0,other external,21-24 yrs,54,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,18.2089786529541 +1989,47,0,internal,21-24 yrs,96,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,32.371517181396484 +1990,47,0,MVA,15-17 yrs,72,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,34.964866638183594 +1990,47,0,suicide,15-17 yrs,26,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,12.626201629638672 +1990,47,0,homicide,15-17 yrs,18,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,8.741216659545898 +1990,47,0,other external,15-17 yrs,32,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.539939880371094 +1990,47,0,internal,15-17 yrs,48,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,23.30990982055664 +1990,47,0,all,18-20 yrs,304,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,126.87706756591797 +1990,47,0,MVA,18-20 yrs,136,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,56.76079559326172 +1990,47,0,suicide,18-20 yrs,31,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,12.938122749328613 +1990,47,0,homicide,18-20 yrs,47,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,19.615863800048828 +1990,47,0,other external,18-20 yrs,36,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.024916648864746 +1990,47,0,internal,18-20 yrs,54,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,22.53737449645996 +1990,47,0,all,21-24 yrs,400,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,137.5894317626953 +1990,47,0,MVA,21-24 yrs,142,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,48.8442497253418 +1990,47,0,suicide,21-24 yrs,55,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,18.918546676635742 +1990,47,0,homicide,21-24 yrs,70,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,24.07815170288086 +1990,47,0,other external,21-24 yrs,44,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.134838104248047 +1990,47,0,internal,21-24 yrs,89,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,30.613649368286133 +1991,47,0,MVA,15-17 yrs,79,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,38.82197570800781 +1991,47,0,suicide,15-17 yrs,16,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,7.862678527832031 +1991,47,0,homicide,15-17 yrs,21,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,10.319765090942383 +1991,47,0,other external,15-17 yrs,31,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,15.233939170837402 +1991,47,0,internal,15-17 yrs,42,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,20.639530181884766 +1991,47,0,all,18-20 yrs,301,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,129.6960906982422 +1991,47,0,MVA,18-20 yrs,122,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,52.56785202026367 +1991,47,0,suicide,18-20 yrs,29,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,12.495636940002441 +1991,47,0,homicide,18-20 yrs,59,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,25.42215919494629 +1991,47,0,other external,18-20 yrs,42,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,18.097129821777344 +1991,47,0,internal,18-20 yrs,49,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,21.113317489624023 +1991,47,0,all,21-24 yrs,408,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,138.65524291992188 +1991,47,0,MVA,21-24 yrs,147,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,49.956668853759766 +1991,47,0,suicide,21-24 yrs,45,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,15.292858123779297 +1991,47,0,homicide,21-24 yrs,73,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,24.808414459228516 +1991,47,0,other external,21-24 yrs,51,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,17.331905364990234 +1991,47,0,internal,21-24 yrs,92,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,31.265399932861328 +1992,47,0,MVA,15-17 yrs,87,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,42.04543685913086 +1992,47,0,suicide,15-17 yrs,14,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,6.765932559967041 +1992,47,0,homicide,15-17 yrs,26,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,12.565303802490234 +1992,47,0,other external,15-17 yrs,12,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,5.799370765686035 +1992,47,0,internal,15-17 yrs,42,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,20.29779815673828 +1992,47,0,all,18-20 yrs,303,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,137.03834533691406 +1992,47,0,MVA,18-20 yrs,111,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,50.20216369628906 +1992,47,0,suicide,18-20 yrs,41,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,18.543142318725586 +1992,47,0,homicide,18-20 yrs,69,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,31.206750869750977 +1992,47,0,other external,18-20 yrs,32,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,14.472696304321289 +1992,47,0,internal,18-20 yrs,50,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,22.613588333129883 +1992,47,0,all,21-24 yrs,387,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,128.01852416992188 +1992,47,0,MVA,21-24 yrs,127,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,42.01124572753906 +1992,47,0,suicide,21-24 yrs,49,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,16.209064483642578 +1992,47,0,homicide,21-24 yrs,78,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,25.802183151245117 +1992,47,0,other external,21-24 yrs,43,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,14.22428035736084 +1992,47,0,internal,21-24 yrs,90,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,29.77174949645996 +1993,47,0,MVA,15-17 yrs,89,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,42.22291946411133 +1993,47,0,suicide,15-17 yrs,29,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,13.75802993774414 +1993,47,0,homicide,15-17 yrs,16,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,7.590636730194092 +1993,47,0,other external,15-17 yrs,30,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,14.232443809509277 +1993,47,0,internal,15-17 yrs,36,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,17.078933715820312 +1993,47,0,all,18-20 yrs,287,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,132.72964477539062 +1993,47,0,MVA,18-20 yrs,120,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,55.49671936035156 +1993,47,0,suicide,18-20 yrs,34,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,15.72407054901123 +1993,47,0,homicide,18-20 yrs,57,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,26.36094093322754 +1993,47,0,other external,18-20 yrs,31,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,14.336652755737305 +1993,47,0,internal,18-20 yrs,45,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,20.811269760131836 +1993,47,0,all,21-24 yrs,421,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,137.3187255859375 +1993,47,0,MVA,21-24 yrs,138,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,45.0118408203125 +1993,47,0,suicide,21-24 yrs,57,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,18.591846466064453 +1993,47,0,homicide,21-24 yrs,91,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,29.681720733642578 +1993,47,0,other external,21-24 yrs,40,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,13.046910285949707 +1993,47,0,internal,21-24 yrs,95,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,30.986412048339844 +1994,47,0,MVA,15-17 yrs,103,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,47.239471435546875 +1994,47,0,suicide,15-17 yrs,24,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,11.007255554199219 +1994,47,0,homicide,15-17 yrs,35,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,16.052248001098633 +1994,47,0,other external,15-17 yrs,22,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.089983940124512 +1994,47,0,internal,15-17 yrs,52,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,23.84905433654785 +1994,47,0,all,18-20 yrs,299,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,139.1189422607422 +1994,47,0,MVA,18-20 yrs,125,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,58.16009521484375 +1994,47,0,suicide,18-20 yrs,32,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.888983726501465 +1994,47,0,homicide,18-20 yrs,44,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,20.472352981567383 +1994,47,0,other external,18-20 yrs,34,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,15.81954574584961 +1994,47,0,internal,18-20 yrs,64,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,29.77796745300293 +1994,47,0,all,21-24 yrs,435,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,142.74978637695312 +1994,47,0,MVA,21-24 yrs,143,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,46.92694091796875 +1994,47,0,suicide,21-24 yrs,61,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,20.017786026000977 +1994,47,0,homicide,21-24 yrs,68,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,22.314908981323242 +1994,47,0,other external,21-24 yrs,44,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.439059257507324 +1994,47,0,internal,21-24 yrs,119,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,39.051090240478516 +1995,47,0,MVA,15-17 yrs,111,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,49.421634674072266 +1995,47,0,suicide,15-17 yrs,26,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,11.576238632202148 +1995,47,0,homicide,15-17 yrs,34,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,15.138157844543457 +1995,47,0,other external,15-17 yrs,32,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,14.24767780303955 +1995,47,0,internal,15-17 yrs,42,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,18.700077056884766 +1995,47,0,all,18-20 yrs,300,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,137.50051879882812 +1995,47,0,MVA,18-20 yrs,114,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,52.25019454956055 +1995,47,0,suicide,18-20 yrs,23,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,10.541706085205078 +1995,47,0,homicide,18-20 yrs,66,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,30.250112533569336 +1995,47,0,other external,18-20 yrs,37,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,16.958396911621094 +1995,47,0,internal,18-20 yrs,60,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,27.500102996826172 +1995,47,0,all,21-24 yrs,402,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,134.9690704345703 +1995,47,0,MVA,21-24 yrs,150,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,50.361595153808594 +1995,47,0,suicide,21-24 yrs,62,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,20.816125869750977 +1995,47,0,homicide,21-24 yrs,58,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,19.4731502532959 +1995,47,0,other external,21-24 yrs,50,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,16.787199020385742 +1995,47,0,internal,21-24 yrs,82,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,27.531005859375 +1996,47,0,MVA,15-17 yrs,100,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,43.78456115722656 +1996,47,0,suicide,15-17 yrs,21,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,9.194758415222168 +1996,47,0,homicide,15-17 yrs,31,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,13.573214530944824 +1996,47,0,other external,15-17 yrs,30,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,13.135368347167969 +1996,47,0,internal,15-17 yrs,37,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,16.200288772583008 +1996,47,0,all,18-20 yrs,278,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,125.4212646484375 +1996,47,0,MVA,18-20 yrs,117,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,52.78520965576172 +1996,47,0,suicide,18-20 yrs,26,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,11.730046272277832 +1996,47,0,homicide,18-20 yrs,51,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,23.00893783569336 +1996,47,0,other external,18-20 yrs,37,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,16.692758560180664 +1996,47,0,internal,18-20 yrs,47,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,21.204315185546875 +1996,47,0,all,21-24 yrs,375,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,129.7645263671875 +1996,47,0,MVA,21-24 yrs,130,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,44.98503494262695 +1996,47,0,suicide,21-24 yrs,45,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,15.571742057800293 +1996,47,0,homicide,21-24 yrs,60,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,20.7623233795166 +1996,47,0,other external,21-24 yrs,53,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,18.340051651000977 +1996,47,0,internal,21-24 yrs,87,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,30.105369567871094 +1970,48,0,MVA,15-17 yrs,249,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,37.055721282958984 +1970,48,0,suicide,15-17 yrs,32,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,4.762181282043457 +1970,48,0,homicide,15-17 yrs,54,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,8.03618049621582 +1970,48,0,other external,15-17 yrs,142,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,21.132179260253906 +1970,48,0,internal,15-17 yrs,207,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,30.80535888671875 +1970,48,0,all,18-20 yrs,993,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,158.1855010986328 +1970,48,0,MVA,18-20 yrs,362,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,57.66682052612305 +1970,48,0,suicide,18-20 yrs,56,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,8.920833587646484 +1970,48,0,homicide,18-20 yrs,115,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,18.319570541381836 +1970,48,0,other external,18-20 yrs,196,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,31.222919464111328 +1970,48,0,internal,18-20 yrs,264,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,42.05535888671875 +1970,48,0,all,21-24 yrs,1231,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,163.53001403808594 +1970,48,0,MVA,21-24 yrs,391,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,51.94170379638672 +1970,48,0,suicide,21-24 yrs,100,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,13.284322738647461 +1970,48,0,homicide,21-24 yrs,173,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,22.98187828063965 +1970,48,0,other external,21-24 yrs,225,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,29.889726638793945 +1970,48,0,internal,21-24 yrs,342,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,45.4323844909668 +1971,48,0,MVA,15-17 yrs,240,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,34.65043640136719 +1971,48,0,suicide,15-17 yrs,36,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,5.197565078735352 +1971,48,0,homicide,15-17 yrs,44,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,6.352579593658447 +1971,48,0,other external,15-17 yrs,130,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,18.768985748291016 +1971,48,0,internal,15-17 yrs,185,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,26.7097110748291 +1971,48,0,all,18-20 yrs,998,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,149.79991149902344 +1971,48,0,MVA,18-20 yrs,389,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,58.388946533203125 +1971,48,0,suicide,18-20 yrs,66,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,9.906607627868652 +1971,48,0,homicide,18-20 yrs,124,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,18.612415313720703 +1971,48,0,other external,18-20 yrs,172,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,25.81722068786621 +1971,48,0,internal,18-20 yrs,247,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,37.074729919433594 +1971,48,0,all,21-24 yrs,1256,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,152.18911743164062 +1971,48,0,MVA,21-24 yrs,432,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,52.345298767089844 +1971,48,0,suicide,21-24 yrs,105,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,12.72281551361084 +1971,48,0,homicide,21-24 yrs,218,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,26.414989471435547 +1971,48,0,other external,21-24 yrs,182,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,22.052881240844727 +1971,48,0,internal,21-24 yrs,319,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,38.65312576293945 +1972,48,0,MVA,15-17 yrs,300,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,42.15739059448242 +1972,48,0,suicide,15-17 yrs,40,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,5.620985507965088 +1972,48,0,homicide,15-17 yrs,36,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,5.058887004852295 +1972,48,0,other external,15-17 yrs,162,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,22.764991760253906 +1972,48,0,internal,15-17 yrs,218,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,30.634370803833008 +1972,48,0,all,18-20 yrs,964,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,138.52703857421875 +1972,48,0,MVA,18-20 yrs,396,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,56.90530014038086 +1972,48,0,suicide,18-20 yrs,62,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,8.909415245056152 +1972,48,0,homicide,18-20 yrs,98,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,14.082624435424805 +1972,48,0,other external,18-20 yrs,162,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,23.279441833496094 +1972,48,0,internal,18-20 yrs,246,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,35.35026168823242 +1972,48,0,all,21-24 yrs,1376,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,164.98484802246094 +1972,48,0,MVA,21-24 yrs,432,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,51.797569274902344 +1972,48,0,suicide,21-24 yrs,156,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,18.70467758178711 +1972,48,0,homicide,21-24 yrs,190,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,22.78133773803711 +1972,48,0,other external,21-24 yrs,236,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,28.29681968688965 +1972,48,0,internal,21-24 yrs,362,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,43.404441833496094 +1973,48,0.4191780686378479,MVA,15-17 yrs,300,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,41.144081115722656 +1973,48,0.4191780686378479,suicide,15-17 yrs,40,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,5.485877513885498 +1973,48,0.4191780686378479,homicide,15-17 yrs,68,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,9.3259916305542 +1973,48,0.4191780686378479,other external,15-17 yrs,167,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,22.90353775024414 +1973,48,0.4191780686378479,internal,15-17 yrs,205,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,28.115121841430664 +1973,48,0.4191780686378479,all,18-20 yrs,1092,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,150.723388671875 +1973,48,0.4191780686378479,MVA,18-20 yrs,419,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,57.8325080871582 +1973,48,0.4191780686378479,suicide,18-20 yrs,79,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,10.90398120880127 +1973,48,0.4191780686378479,homicide,18-20 yrs,120,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,16.56300926208496 +1973,48,0.4191780686378479,other external,18-20 yrs,217,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,29.95144271850586 +1973,48,0.4191780686378479,internal,18-20 yrs,257,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,35.47244644165039 +1973,48,0.4191780686378479,all,21-24 yrs,1413,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,163.8013916015625 +1973,48,0.4191780686378479,MVA,21-24 yrs,440,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,51.006805419921875 +1973,48,0.4191780686378479,suicide,21-24 yrs,158,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,18.31608009338379 +1973,48,0.4191780686378479,homicide,21-24 yrs,216,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,25.039703369140625 +1973,48,0.4191780686378479,other external,21-24 yrs,251,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,29.097063064575195 +1973,48,0.4191780686378479,internal,21-24 yrs,348,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,40.34174728393555 +1974,48,1,MVA,15-17 yrs,247,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,33.21151351928711 +1974,48,1,suicide,15-17 yrs,37,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,4.975004196166992 +1974,48,1,homicide,15-17 yrs,62,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,8.336493492126465 +1974,48,1,other external,15-17 yrs,143,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,19.227718353271484 +1974,48,1,internal,15-17 yrs,186,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,25.009479522705078 +1974,48,1,all,18-20 yrs,1077,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,144.65773010253906 +1974,48,1,MVA,18-20 yrs,404,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,54.2634391784668 +1974,48,1,suicide,18-20 yrs,88,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,11.819759368896484 +1974,48,1,homicide,18-20 yrs,149,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,20.013002395629883 +1974,48,1,other external,18-20 yrs,198,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,26.594459533691406 +1974,48,1,internal,18-20 yrs,238,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,31.967077255249023 +1974,48,1,all,21-24 yrs,1368,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,152.28765869140625 +1974,48,1,MVA,21-24 yrs,369,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,41.07759094238281 +1974,48,1,suicide,21-24 yrs,169,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,18.81331443786621 +1974,48,1,homicide,21-24 yrs,252,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,28.052988052368164 +1974,48,1,other external,21-24 yrs,265,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,29.500167846679688 +1974,48,1,internal,21-24 yrs,313,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,34.84359359741211 +1975,48,1,MVA,15-17 yrs,270,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,35.804840087890625 +1975,48,1,suicide,15-17 yrs,52,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,6.89574670791626 +1975,48,1,homicide,15-17 yrs,66,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,8.752294540405273 +1975,48,1,other external,15-17 yrs,143,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,18.96330451965332 +1975,48,1,internal,15-17 yrs,201,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,26.654714584350586 +1975,48,1,all,18-20 yrs,1137,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,147.8907012939453 +1975,48,1,MVA,18-20 yrs,444,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,57.75151443481445 +1975,48,1,suicide,18-20 yrs,81,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,10.535749435424805 +1975,48,1,homicide,18-20 yrs,150,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,19.51064682006836 +1975,48,1,other external,18-20 yrs,231,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,30.046396255493164 +1975,48,1,internal,18-20 yrs,231,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,30.046396255493164 +1975,48,1,all,21-24 yrs,1381,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,146.16030883789062 +1975,48,1,MVA,21-24 yrs,403,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,42.652137756347656 +1975,48,1,suicide,21-24 yrs,170,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,17.992216110229492 +1975,48,1,homicide,21-24 yrs,223,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,23.60155487060547 +1975,48,1,other external,21-24 yrs,260,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,27.517507553100586 +1975,48,1,internal,21-24 yrs,325,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,34.39688491821289 +1976,48,1,MVA,15-17 yrs,256,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,33.234710693359375 +1976,48,1,suicide,15-17 yrs,42,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,5.452569961547852 +1976,48,1,homicide,15-17 yrs,65,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,8.43850040435791 +1976,48,1,other external,15-17 yrs,138,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,17.915586471557617 +1976,48,1,internal,15-17 yrs,170,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,22.06992530822754 +1976,48,1,all,18-20 yrs,1133,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,142.6763458251953 +1976,48,1,MVA,18-20 yrs,451,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,56.793495178222656 +1976,48,1,suicide,18-20 yrs,126,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,15.86691951751709 +1976,48,1,homicide,18-20 yrs,134,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,16.87434196472168 +1976,48,1,other external,18-20 yrs,188,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,23.67445182800293 +1976,48,1,internal,18-20 yrs,234,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,29.46713638305664 +1976,48,1,all,21-24 yrs,1331,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,134.24281311035156 +1976,48,1,MVA,21-24 yrs,412,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,41.55374526977539 +1976,48,1,suicide,21-24 yrs,159,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,16.036518096923828 +1976,48,1,homicide,21-24 yrs,214,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,21.583742141723633 +1976,48,1,other external,21-24 yrs,219,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,22.088035583496094 +1976,48,1,internal,21-24 yrs,327,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,32.98076629638672 +1977,48,1,MVA,15-17 yrs,273,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,35.03202438354492 +1977,48,1,suicide,15-17 yrs,52,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,6.672766208648682 +1977,48,1,homicide,15-17 yrs,59,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,7.571023464202881 +1977,48,1,other external,15-17 yrs,132,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,16.938560485839844 +1977,48,1,internal,15-17 yrs,163,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,20.916555404663086 +1977,48,1,all,18-20 yrs,1163,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,143.6588134765625 +1977,48,1,MVA,18-20 yrs,477,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,58.921112060546875 +1977,48,1,suicide,18-20 yrs,128,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,15.811116218566895 +1977,48,1,homicide,18-20 yrs,130,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,16.058164596557617 +1977,48,1,other external,18-20 yrs,208,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,25.693063735961914 +1977,48,1,internal,18-20 yrs,220,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,27.175355911254883 +1977,48,1,all,21-24 yrs,1569,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,152.35316467285156 +1977,48,1,MVA,21-24 yrs,520,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,50.49308395385742 +1977,48,1,suicide,21-24 yrs,203,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,19.71172332763672 +1977,48,1,homicide,21-24 yrs,288,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,27.96540069580078 +1977,48,1,other external,21-24 yrs,244,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,23.692909240722656 +1977,48,1,internal,21-24 yrs,314,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,30.490055084228516 +1978,48,1,MVA,15-17 yrs,306,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,38.966495513916016 +1978,48,1,suicide,15-17 yrs,40,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,5.0936598777771 +1978,48,1,homicide,15-17 yrs,67,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,8.531880378723145 +1978,48,1,other external,15-17 yrs,134,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,17.06376075744629 +1978,48,1,internal,15-17 yrs,182,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,23.176151275634766 +1978,48,1,all,18-20 yrs,1204,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,146.75588989257812 +1978,48,1,MVA,18-20 yrs,519,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,63.261051177978516 +1978,48,1,suicide,18-20 yrs,115,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,14.01738166809082 +1978,48,1,homicide,18-20 yrs,171,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,20.843236923217773 +1978,48,1,other external,18-20 yrs,186,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,22.67159080505371 +1978,48,1,internal,18-20 yrs,213,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,25.962629318237305 +1978,48,1,all,21-24 yrs,1718,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,160.90782165527344 +1978,48,1,MVA,21-24 yrs,586,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,54.884742736816406 +1978,48,1,suicide,21-24 yrs,201,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,18.825653076171875 +1978,48,1,homicide,21-24 yrs,333,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,31.188770294189453 +1978,48,1,other external,21-24 yrs,259,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,24.257932662963867 +1978,48,1,internal,21-24 yrs,339,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,31.750730514526367 +1979,48,1,MVA,15-17 yrs,309,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,39.28663635253906 +1979,48,1,suicide,15-17 yrs,50,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,6.35706090927124 +1979,48,1,homicide,15-17 yrs,88,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,11.188426971435547 +1979,48,1,other external,15-17 yrs,156,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,19.834030151367188 +1979,48,1,internal,15-17 yrs,171,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,21.741147994995117 +1979,48,1,all,18-20 yrs,1282,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,152.6481170654297 +1979,48,1,MVA,18-20 yrs,563,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,67.03657531738281 +1979,48,1,suicide,18-20 yrs,103,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,12.264241218566895 +1979,48,1,homicide,18-20 yrs,224,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,26.6717472076416 +1979,48,1,other external,18-20 yrs,198,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,23.57592010498047 +1979,48,1,internal,18-20 yrs,194,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,23.099637985229492 +1979,48,1,all,21-24 yrs,1756,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,159.08621215820312 +1979,48,1,MVA,21-24 yrs,580,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,52.54555892944336 +1979,48,1,suicide,21-24 yrs,208,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,18.84392547607422 +1979,48,1,homicide,21-24 yrs,367,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,33.2486572265625 +1979,48,1,other external,21-24 yrs,276,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,25.004438400268555 +1979,48,1,internal,21-24 yrs,325,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,29.443634033203125 +1980,48,1,MVA,15-17 yrs,292,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,37.19347381591797 +1980,48,1,suicide,15-17 yrs,53,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,6.7508697509765625 +1980,48,1,homicide,15-17 yrs,80,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,10.18999195098877 +1980,48,1,other external,15-17 yrs,120,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,15.284988403320312 +1980,48,1,internal,15-17 yrs,150,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,19.10623550415039 +1980,48,1,all,18-20 yrs,1400,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,163.7744903564453 +1980,48,1,MVA,18-20 yrs,557,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,65.15885162353516 +1980,48,1,suicide,18-20 yrs,127,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,14.856685638427734 +1980,48,1,homicide,18-20 yrs,250,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,29.24544334411621 +1980,48,1,other external,18-20 yrs,235,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,27.4907169342041 +1980,48,1,internal,18-20 yrs,231,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,27.022790908813477 +1980,48,1,all,21-24 yrs,1854,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,162.6300048828125 +1980,48,1,MVA,21-24 yrs,618,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,54.21000289916992 +1980,48,1,suicide,21-24 yrs,209,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,18.33315658569336 +1980,48,1,homicide,21-24 yrs,388,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,34.034759521484375 +1980,48,1,other external,21-24 yrs,291,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,25.52606964111328 +1980,48,1,internal,21-24 yrs,348,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,30.52602195739746 +1981,48,0.8943661451339722,MVA,15-17 yrs,288,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,37.539642333984375 +1981,48,0.8943661451339722,suicide,15-17 yrs,58,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,7.5600666999816895 +1981,48,0.8943661451339722,homicide,15-17 yrs,66,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,8.602834701538086 +1981,48,0.8943661451339722,other external,15-17 yrs,100,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,13.034597396850586 +1981,48,0.8943661451339722,internal,15-17 yrs,142,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,18.50912857055664 +1981,48,0.8943661451339722,all,18-20 yrs,1366,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,159.47958374023438 +1981,48,0.8943661451339722,MVA,18-20 yrs,612,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,71.4505844116211 +1981,48,0.8943661451339722,suicide,18-20 yrs,106,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,12.375428199768066 +1981,48,0.8943661451339722,homicide,18-20 yrs,256,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,29.887826919555664 +1981,48,0.8943661451339722,other external,18-20 yrs,174,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,20.314382553100586 +1981,48,0.8943661451339722,internal,18-20 yrs,218,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,25.451353073120117 +1981,48,0.8943661451339722,all,21-24 yrs,1990,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,171.05271911621094 +1981,48,0.8943661451339722,MVA,21-24 yrs,710,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,61.02886199951172 +1981,48,0.8943661451339722,suicide,21-24 yrs,228,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,19.597999572753906 +1981,48,0.8943661451339722,homicide,21-24 yrs,406,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,34.898193359375 +1981,48,0.8943661451339722,other external,21-24 yrs,294,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,25.27110481262207 +1981,48,0.8943661451339722,internal,21-24 yrs,352,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,30.256561279296875 +1982,48,0.682551920413971,MVA,15-17 yrs,300,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,39.451416015625 +1982,48,0.682551920413971,suicide,15-17 yrs,60,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,7.890283107757568 +1982,48,0.682551920413971,homicide,15-17 yrs,80,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,10.520377159118652 +1982,48,0.682551920413971,other external,15-17 yrs,92,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,12.098433494567871 +1982,48,0.682551920413971,internal,15-17 yrs,126,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.56959342956543 +1982,48,0.682551920413971,all,18-20 yrs,1334,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,155.13864135742188 +1982,48,0.682551920413971,MVA,18-20 yrs,512,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,59.5434684753418 +1982,48,0.682551920413971,suicide,18-20 yrs,142,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.514009475708008 +1982,48,0.682551920413971,homicide,18-20 yrs,244,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,28.376184463500977 +1982,48,0.682551920413971,other external,18-20 yrs,220,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,25.585084915161133 +1982,48,0.682551920413971,internal,18-20 yrs,216,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,25.119901657104492 +1982,48,0.682551920413971,all,21-24 yrs,1944,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,162.4018096923828 +1982,48,0.682551920413971,MVA,21-24 yrs,694,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,57.976776123046875 +1982,48,0.682551920413971,suicide,21-24 yrs,196,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.373844146728516 +1982,48,0.682551920413971,homicide,21-24 yrs,400,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,33.416011810302734 +1982,48,0.682551920413971,other external,21-24 yrs,288,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,24.059526443481445 +1982,48,0.682551920413971,internal,21-24 yrs,366,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,30.57564926147461 +1983,48,0.687008261680603,MVA,15-17 yrs,220,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,29.254619598388672 +1983,48,0.687008261680603,suicide,15-17 yrs,79,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,10.505067825317383 +1983,48,0.687008261680603,homicide,15-17 yrs,70,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,9.308287620544434 +1983,48,0.687008261680603,other external,15-17 yrs,94,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,12.499700546264648 +1983,48,0.687008261680603,internal,15-17 yrs,153,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,20.345256805419922 +1983,48,0.687008261680603,all,18-20 yrs,1115,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,130.51223754882812 +1983,48,0.687008261680603,MVA,18-20 yrs,473,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,55.36528396606445 +1983,48,0.687008261680603,suicide,18-20 yrs,133,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,15.567828178405762 +1983,48,0.687008261680603,homicide,18-20 yrs,181,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,21.18629264831543 +1983,48,0.687008261680603,other external,18-20 yrs,165,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.3134708404541 +1983,48,0.687008261680603,internal,18-20 yrs,163,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.079368591308594 +1983,48,0.687008261680603,all,21-24 yrs,1743,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,143.55958557128906 +1983,48,0.687008261680603,MVA,21-24 yrs,603,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,49.665191650390625 +1983,48,0.687008261680603,suicide,21-24 yrs,214,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,17.625789642333984 +1983,48,0.687008261680603,homicide,21-24 yrs,345,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,28.415409088134766 +1983,48,0.687008261680603,other external,21-24 yrs,239,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.684877395629883 +1983,48,0.687008261680603,internal,21-24 yrs,342,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,28.168317794799805 +1984,48,0.693396270275116,MVA,15-17 yrs,231,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,30.307323455810547 +1984,48,0.693396270275116,suicide,15-17 yrs,67,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,8.790435791015625 +1984,48,0.693396270275116,homicide,15-17 yrs,56,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,7.347229957580566 +1984,48,0.693396270275116,other external,15-17 yrs,98,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,12.85765266418457 +1984,48,0.693396270275116,internal,15-17 yrs,130,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,17.05607032775879 +1984,48,0.693396270275116,all,18-20 yrs,1092,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,132.26327514648438 +1984,48,0.693396270275116,MVA,18-20 yrs,472,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,57.16874313354492 +1984,48,0.693396270275116,suicide,18-20 yrs,116,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,14.049944877624512 +1984,48,0.693396270275116,homicide,18-20 yrs,165,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,19.98483657836914 +1984,48,0.693396270275116,other external,18-20 yrs,155,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,18.77363395690918 +1984,48,0.693396270275116,internal,18-20 yrs,184,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,22.28611946105957 +1984,48,0.693396270275116,all,21-24 yrs,1763,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,145.44032287597656 +1984,48,0.693396270275116,MVA,21-24 yrs,604,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,49.82754135131836 +1984,48,0.693396270275116,suicide,21-24 yrs,245,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,20.211503982543945 +1984,48,0.693396270275116,homicide,21-24 yrs,328,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,27.058666229248047 +1984,48,0.693396270275116,other external,21-24 yrs,233,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,19.2215518951416 +1984,48,0.693396270275116,internal,21-24 yrs,353,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,29.121063232421875 +1985,48,0.6857057213783264,MVA,15-17 yrs,267,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,34.006282806396484 +1985,48,0.6857057213783264,suicide,15-17 yrs,68,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,8.660776138305664 +1985,48,0.6857057213783264,homicide,15-17 yrs,76,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,9.679691314697266 +1985,48,0.6857057213783264,other external,15-17 yrs,107,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,13.627986907958984 +1985,48,0.6857057213783264,internal,15-17 yrs,119,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,15.15635871887207 +1985,48,0.6857057213783264,all,18-20 yrs,1050,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,131.16883850097656 +1985,48,0.6857057213783264,MVA,18-20 yrs,403,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,50.343849182128906 +1985,48,0.6857057213783264,suicide,18-20 yrs,138,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,17.239334106445312 +1985,48,0.6857057213783264,homicide,18-20 yrs,180,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.486085891723633 +1985,48,0.6857057213783264,other external,18-20 yrs,152,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,18.988250732421875 +1985,48,0.6857057213783264,internal,18-20 yrs,177,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.111318588256836 +1985,48,0.6857057213783264,all,21-24 yrs,1691,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,140.40338134765625 +1985,48,0.6857057213783264,MVA,21-24 yrs,551,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,45.749412536621094 +1985,48,0.6857057213783264,suicide,21-24 yrs,212,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,17.60231590270996 +1985,48,0.6857057213783264,homicide,21-24 yrs,334,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,27.731950759887695 +1985,48,0.6857057213783264,other external,21-24 yrs,267,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.168954849243164 +1985,48,0.6857057213783264,internal,21-24 yrs,327,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,27.150741577148438 +1986,48,0.4516404867172241,MVA,15-17 yrs,287,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,34.95004653930664 +1986,48,0.4516404867172241,suicide,15-17 yrs,71,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,8.64617919921875 +1986,48,0.4516404867172241,homicide,15-17 yrs,68,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,8.280847549438477 +1986,48,0.4516404867172241,other external,15-17 yrs,81,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,9.863950729370117 +1986,48,0.4516404867172241,internal,15-17 yrs,125,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,15.222146034240723 +1986,48,0.4516404867172241,all,18-20 yrs,1107,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,141.06259155273438 +1986,48,0.4516404867172241,MVA,18-20 yrs,438,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,55.813385009765625 +1986,48,0.4516404867172241,suicide,18-20 yrs,129,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,16.438188552856445 +1986,48,0.4516404867172241,homicide,18-20 yrs,186,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,23.701574325561523 +1986,48,0.4516404867172241,other external,18-20 yrs,171,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,21.790157318115234 +1986,48,0.4516404867172241,internal,18-20 yrs,183,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,23.319290161132812 +1986,48,0.4516404867172241,all,21-24 yrs,1665,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,141.01528930664062 +1986,48,0.4516404867172241,MVA,21-24 yrs,509,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,43.10918045043945 +1986,48,0.4516404867172241,suicide,21-24 yrs,232,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,19.648977279663086 +1986,48,0.4516404867172241,homicide,21-24 yrs,360,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,30.48979377746582 +1986,48,0.4516404867172241,other external,21-24 yrs,236,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,19.98775291442871 +1986,48,0.4516404867172241,internal,21-24 yrs,328,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,27.77958869934082 +1987,48,0,MVA,15-17 yrs,235,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,28.622095108032227 +1987,48,0,suicide,15-17 yrs,65,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,7.916749954223633 +1987,48,0,homicide,15-17 yrs,56,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,6.820584297180176 +1987,48,0,other external,15-17 yrs,77,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,9.378303527832031 +1987,48,0,internal,15-17 yrs,143,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,17.41684913635254 +1987,48,0,all,18-20 yrs,967,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,123.47665405273438 +1987,48,0,MVA,18-20 yrs,396,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,50.56541442871094 +1987,48,0,suicide,18-20 yrs,111,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,14.173638343811035 +1987,48,0,homicide,18-20 yrs,127,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,16.216686248779297 +1987,48,0,other external,18-20 yrs,148,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,18.898183822631836 +1987,48,0,internal,18-20 yrs,185,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,23.622730255126953 +1987,48,0,all,21-24 yrs,1517,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,133.8248748779297 +1987,48,0,MVA,21-24 yrs,457,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,40.3150749206543 +1987,48,0,suicide,21-24 yrs,188,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,16.58475685119629 +1987,48,0,homicide,21-24 yrs,295,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,26.023954391479492 +1987,48,0,other external,21-24 yrs,205,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,18.084442138671875 +1987,48,0,internal,21-24 yrs,372,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,32.816646575927734 +1988,48,0,MVA,15-17 yrs,262,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,32.80807113647461 +1988,48,0,suicide,15-17 yrs,82,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,10.26817512512207 +1988,48,0,homicide,15-17 yrs,77,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,9.64206600189209 +1988,48,0,other external,15-17 yrs,78,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,9.7672882080078125 +1988,48,0,internal,15-17 yrs,116,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,14.525710105895996 +1988,48,0,all,18-20 yrs,943,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,118.44070434570312 +1988,48,0,MVA,18-20 yrs,403,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,50.616756439208984 +1988,48,0,suicide,18-20 yrs,130,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,16.327985763549805 +1988,48,0,homicide,18-20 yrs,143,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,17.960784912109375 +1988,48,0,other external,18-20 yrs,108,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,13.564788818359375 +1988,48,0,internal,18-20 yrs,159,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,19.970382690429688 +1988,48,0,all,21-24 yrs,1451,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,133.03041076660156 +1988,48,0,MVA,21-24 yrs,424,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,38.87311935424805 +1988,48,0,suicide,21-24 yrs,215,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,19.711605072021484 +1988,48,0,homicide,21-24 yrs,320,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,29.33820343017578 +1988,48,0,other external,21-24 yrs,177,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,16.227693557739258 +1988,48,0,internal,21-24 yrs,315,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,28.879793167114258 +1989,48,0,MVA,15-17 yrs,236,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,30.948911666870117 +1989,48,0,suicide,15-17 yrs,90,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,11.80255126953125 +1989,48,0,homicide,15-17 yrs,82,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,10.753435134887695 +1989,48,0,other external,15-17 yrs,83,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,10.884574890136719 +1989,48,0,internal,15-17 yrs,126,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,16.523571014404297 +1989,48,0,all,18-20 yrs,988,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,119.20503997802734 +1989,48,0,MVA,18-20 yrs,390,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,47.054622650146484 +1989,48,0,suicide,18-20 yrs,141,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,17.012056350708008 +1989,48,0,homicide,18-20 yrs,165,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,19.907724380493164 +1989,48,0,other external,18-20 yrs,112,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,13.51312255859375 +1989,48,0,internal,18-20 yrs,180,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,21.717517852783203 +1989,48,0,all,21-24 yrs,1341,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,125.58378601074219 +1989,48,0,MVA,21-24 yrs,379,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,35.493106842041016 +1989,48,0,suicide,21-24 yrs,187,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,17.51243019104004 +1989,48,0,homicide,21-24 yrs,285,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,26.690067291259766 +1989,48,0,other external,21-24 yrs,157,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,14.702948570251465 +1989,48,0,internal,21-24 yrs,333,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,31.18523597717285 +1990,48,0,MVA,15-17 yrs,192,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,25.25132942199707 +1990,48,0,suicide,15-17 yrs,93,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,12.231112480163574 +1990,48,0,homicide,15-17 yrs,138,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,18.14939308166504 +1990,48,0,other external,15-17 yrs,83,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,10.915939331054688 +1990,48,0,internal,15-17 yrs,131,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,17.228771209716797 +1990,48,0,all,18-20 yrs,1032,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,123.38829803466797 +1990,48,0,MVA,18-20 yrs,374,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,44.71630096435547 +1990,48,0,suicide,18-20 yrs,116,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,13.869227409362793 +1990,48,0,homicide,18-20 yrs,236,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,28.216703414916992 +1990,48,0,other external,18-20 yrs,133,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,15.901786804199219 +1990,48,0,internal,18-20 yrs,173,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,20.68427848815918 +1990,48,0,all,21-24 yrs,1305,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,123.57978057861328 +1990,48,0,MVA,21-24 yrs,374,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,35.41673278808594 +1990,48,0,suicide,21-24 yrs,176,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,16.666698455810547 +1990,48,0,homicide,21-24 yrs,306,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,28.977327346801758 +1990,48,0,other external,21-24 yrs,155,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,14.678057670593262 +1990,48,0,internal,21-24 yrs,294,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,27.840961456298828 +1991,48,0,MVA,15-17 yrs,181,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,23.686758041381836 +1991,48,0,suicide,15-17 yrs,90,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,11.777946472167969 +1991,48,0,homicide,15-17 yrs,168,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,21.98550033569336 +1991,48,0,other external,15-17 yrs,70,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,9.160625457763672 +1991,48,0,internal,15-17 yrs,119,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,15.573062896728516 +1991,48,0,all,18-20 yrs,1014,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,123.25899505615234 +1991,48,0,MVA,18-20 yrs,337,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,40.96477508544922 +1991,48,0,suicide,18-20 yrs,121,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,14.708420753479004 +1991,48,0,homicide,18-20 yrs,272,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,33.06355667114258 +1991,48,0,other external,18-20 yrs,106,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,12.885063171386719 +1991,48,0,internal,18-20 yrs,178,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,21.63718032836914 +1991,48,0,all,21-24 yrs,1493,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,140.89291381835938 +1991,48,0,MVA,21-24 yrs,425,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,40.10682678222656 +1991,48,0,suicide,21-24 yrs,206,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,19.440013885498047 +1991,48,0,homicide,21-24 yrs,396,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,37.37012481689453 +1991,48,0,other external,21-24 yrs,140,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,13.211660385131836 +1991,48,0,internal,21-24 yrs,326,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,30.764293670654297 +1992,48,0,MVA,15-17 yrs,178,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,22.777265548706055 +1992,48,0,suicide,15-17 yrs,80,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,10.23697280883789 +1992,48,0,homicide,15-17 yrs,154,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,19.706172943115234 +1992,48,0,other external,15-17 yrs,63,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,8.061615943908691 +1992,48,0,internal,15-17 yrs,131,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,16.763044357299805 +1992,48,0,all,18-20 yrs,1001,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,124.36837768554688 +1992,48,0,MVA,18-20 yrs,316,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,39.261146545410156 +1992,48,0,suicide,18-20 yrs,138,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,17.145689010620117 +1992,48,0,homicide,18-20 yrs,265,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,32.9246940612793 +1992,48,0,other external,18-20 yrs,105,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,13.045633316040039 +1992,48,0,internal,18-20 yrs,177,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,21.9912109375 +1992,48,0,all,21-24 yrs,1400,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,129.63514709472656 +1992,48,0,MVA,21-24 yrs,409,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,37.87198257446289 +1992,48,0,suicide,21-24 yrs,197,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,18.241518020629883 +1992,48,0,homicide,21-24 yrs,319,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,29.53829574584961 +1992,48,0,other external,21-24 yrs,151,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,13.982076644897461 +1992,48,0,internal,21-24 yrs,324,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,30.001277923583984 +1993,48,0,MVA,15-17 yrs,191,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,24.023706436157227 +1993,48,0,suicide,15-17 yrs,77,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,9.68494987487793 +1993,48,0,homicide,15-17 yrs,164,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,20.627685546875 +1993,48,0,other external,15-17 yrs,78,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,9.810728073120117 +1993,48,0,internal,15-17 yrs,126,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,15.848099708557129 +1993,48,0,all,18-20 yrs,926,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,114.45621490478516 +1993,48,0,MVA,18-20 yrs,282,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,34.855995178222656 +1993,48,0,suicide,18-20 yrs,119,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,14.708736419677734 +1993,48,0,homicide,18-20 yrs,257,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,31.765926361083984 +1993,48,0,other external,18-20 yrs,97,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,11.989474296569824 +1993,48,0,internal,18-20 yrs,171,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,21.136083602905273 +1993,48,0,all,21-24 yrs,1392,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,126.68515014648438 +1993,48,0,MVA,21-24 yrs,365,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,33.218448638916016 +1993,48,0,suicide,21-24 yrs,244,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,22.20630645751953 +1993,48,0,homicide,21-24 yrs,320,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,29.123023986816406 +1993,48,0,other external,21-24 yrs,140,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,12.74132251739502 +1993,48,0,internal,21-24 yrs,323,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,29.39605140686035 +1994,48,0,MVA,15-17 yrs,209,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,25.443403244018555 +1994,48,0,suicide,15-17 yrs,87,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,10.591273307800293 +1994,48,0,homicide,15-17 yrs,157,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,19.112987518310547 +1994,48,0,other external,15-17 yrs,69,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,8.399974822998047 +1994,48,0,internal,15-17 yrs,142,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,17.28690528869629 +1994,48,0,all,18-20 yrs,942,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,114.920654296875 +1994,48,0,MVA,18-20 yrs,292,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,35.622962951660156 +1994,48,0,suicide,18-20 yrs,123,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,15.005562782287598 +1994,48,0,homicide,18-20 yrs,255,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,31.109094619750977 +1994,48,0,other external,18-20 yrs,98,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,11.955652236938477 +1994,48,0,internal,18-20 yrs,174,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,21.22738265991211 +1994,48,0,all,21-24 yrs,1320,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,119.490966796875 +1994,48,0,MVA,21-24 yrs,377,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,34.12734603881836 +1994,48,0,suicide,21-24 yrs,212,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,19.19097328186035 +1994,48,0,homicide,21-24 yrs,291,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,26.342327117919922 +1994,48,0,other external,21-24 yrs,125,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,11.31543254852295 +1994,48,0,internal,21-24 yrs,315,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,28.514890670776367 +1995,48,0,MVA,15-17 yrs,217,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,25.397613525390625 +1995,48,0,suicide,15-17 yrs,82,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,9.597254753112793 +1995,48,0,homicide,15-17 yrs,146,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,17.08779525756836 +1995,48,0,other external,15-17 yrs,70,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,8.192778587341309 +1995,48,0,internal,15-17 yrs,157,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,18.37523078918457 +1995,48,0,all,18-20 yrs,864,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,102.40703582763672 +1995,48,0,MVA,18-20 yrs,259,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,30.698406219482422 +1995,48,0,suicide,18-20 yrs,113,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,13.393513679504395 +1995,48,0,homicide,18-20 yrs,216,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,25.60175895690918 +1995,48,0,other external,18-20 yrs,93,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,11.022979736328125 +1995,48,0,internal,18-20 yrs,183,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,21.690380096435547 +1995,48,0,all,21-24 yrs,1250,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,113.67066955566406 +1995,48,0,MVA,21-24 yrs,349,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,31.73685073852539 +1995,48,0,suicide,21-24 yrs,177,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,16.095767974853516 +1995,48,0,homicide,21-24 yrs,243,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,22.097578048706055 +1995,48,0,other external,21-24 yrs,144,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,13.094861030578613 +1995,48,0,internal,21-24 yrs,337,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,30.645612716674805 +1996,48,0,MVA,15-17 yrs,279,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,31.303293228149414 +1996,48,0,suicide,15-17 yrs,81,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,9.088052749633789 +1996,48,0,homicide,15-17 yrs,107,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,12.005206108093262 +1996,48,0,other external,15-17 yrs,57,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,6.395296573638916 +1996,48,0,internal,15-17 yrs,153,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,17.166322708129883 +1996,48,0,all,18-20 yrs,914,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,106.58158874511719 +1996,48,0,MVA,18-20 yrs,350,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,40.81351852416992 +1996,48,0,suicide,18-20 yrs,130,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,15.159306526184082 +1996,48,0,homicide,18-20 yrs,166,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,19.357269287109375 +1996,48,0,other external,18-20 yrs,96,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,11.194564819335938 +1996,48,0,internal,18-20 yrs,172,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,20.056928634643555 +1996,48,0,all,21-24 yrs,1139,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,104.53780364990234 +1996,48,0,MVA,21-24 yrs,385,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,35.33543014526367 +1996,48,0,suicide,21-24 yrs,152,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,13.950611114501953 +1996,48,0,homicide,21-24 yrs,198,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,18.17250633239746 +1996,48,0,other external,21-24 yrs,124,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,11.380762100219727 +1996,48,0,internal,21-24 yrs,280,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,25.69849395751953 +1970,49,0,MVA,15-17 yrs,30,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,42.048606872558594 +1970,49,0,suicide,15-17 yrs,8,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,11.21296215057373 +1970,49,0,homicide,15-17 yrs,1,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,1.4016202688217163 +1970,49,0,other external,15-17 yrs,19,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,26.63078498840332 +1970,49,0,internal,15-17 yrs,15,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,21.024303436279297 +1970,49,0,all,18-20 yrs,103,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,158.20355224609375 +1970,49,0,MVA,18-20 yrs,46,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,70.65400695800781 +1970,49,0,suicide,18-20 yrs,11,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,16.895524978637695 +1970,49,0,homicide,18-20 yrs,3,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,4.607870101928711 +1970,49,0,other external,18-20 yrs,22,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,33.79104995727539 +1970,49,0,internal,18-20 yrs,21,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,32.25509262084961 +1970,49,0,all,21-24 yrs,123,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,157.43597412109375 +1970,49,0,MVA,21-24 yrs,50,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,63.99836349487305 +1970,49,0,suicide,21-24 yrs,13,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,16.63957405090332 +1970,49,0,homicide,21-24 yrs,8,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,10.239737510681152 +1970,49,0,other external,21-24 yrs,19,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,24.319377899169922 +1970,49,0,internal,21-24 yrs,33,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,42.23891830444336 +1971,49,0,MVA,15-17 yrs,25,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,34.0622673034668 +1971,49,0,suicide,15-17 yrs,4,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,5.449962615966797 +1971,49,0,homicide,15-17 yrs,1,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,1.3624906539916992 +1971,49,0,other external,15-17 yrs,17,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,23.16234016418457 +1971,49,0,internal,15-17 yrs,19,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,25.88732147216797 +1971,49,0,all,18-20 yrs,80,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,109.70475769042969 +1971,49,0,MVA,18-20 yrs,29,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,39.767974853515625 +1971,49,0,suicide,18-20 yrs,9,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,12.341785430908203 +1971,49,0,homicide,18-20 yrs,5,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,6.8565473556518555 +1971,49,0,other external,18-20 yrs,19,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,26.054880142211914 +1971,49,0,internal,18-20 yrs,18,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,24.683570861816406 +1971,49,0,all,21-24 yrs,102,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,120.4534683227539 +1971,49,0,MVA,21-24 yrs,40,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,47.236656188964844 +1971,49,0,suicide,21-24 yrs,14,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,16.53282928466797 +1971,49,0,homicide,21-24 yrs,4,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,4.723665714263916 +1971,49,0,other external,21-24 yrs,15,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,17.7137451171875 +1971,49,0,internal,21-24 yrs,29,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,34.24657440185547 +1972,49,0,MVA,15-17 yrs,42,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,55.57613754272461 +1972,49,0,suicide,15-17 yrs,6,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,7.939448356628418 +1972,49,0,homicide,15-17 yrs,6,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,7.939448356628418 +1972,49,0,other external,15-17 yrs,14,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,18.525379180908203 +1972,49,0,internal,15-17 yrs,16,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,21.17186164855957 +1972,49,0,all,18-20 yrs,104,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,132.199462890625 +1972,49,0,MVA,18-20 yrs,66,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,83.89581298828125 +1972,49,0,suicide,18-20 yrs,2,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,2.54229736328125 +1972,49,0,homicide,18-20 yrs,2,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,2.54229736328125 +1972,49,0,other external,18-20 yrs,10,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,12.711487770080566 +1972,49,0,internal,18-20 yrs,24,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,30.507570266723633 +1972,49,0,all,21-24 yrs,94,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,110.0032730102539 +1972,49,0,MVA,21-24 yrs,38,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,44.46940994262695 +1972,49,0,suicide,21-24 yrs,14,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,16.383466720581055 +1972,49,0,homicide,21-24 yrs,4,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,4.680990695953369 +1972,49,0,other external,21-24 yrs,12,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,14.04297161102295 +1972,49,0,internal,21-24 yrs,26,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,30.426437377929688 +1973,49,0,MVA,15-17 yrs,26,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,33.462894439697266 +1973,49,0,suicide,15-17 yrs,4,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,5.14813756942749 +1973,49,0,homicide,15-17 yrs,1,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,1.2870343923568726 +1973,49,0,other external,15-17 yrs,25,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,32.17586135864258 +1973,49,0,internal,15-17 yrs,21,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,27.02772331237793 +1973,49,0,all,18-20 yrs,115,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,140.7330322265625 +1973,49,0,MVA,18-20 yrs,60,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,73.425933837890625 +1973,49,0,suicide,18-20 yrs,5,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,6.118827819824219 +1973,49,0,homicide,18-20 yrs,4,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,4.89506196975708 +1973,49,0,other external,18-20 yrs,26,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,31.817903518676758 +1973,49,0,internal,18-20 yrs,20,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,24.475311279296875 +1973,49,0,all,21-24 yrs,108,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,122.27014923095703 +1973,49,0,MVA,21-24 yrs,50,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,56.60655212402344 +1973,49,0,suicide,21-24 yrs,7,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,7.924917221069336 +1973,49,0,homicide,21-24 yrs,5,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,5.6606550216674805 +1973,49,0,other external,21-24 yrs,19,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,21.510488510131836 +1973,49,0,internal,21-24 yrs,27,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,30.567537307739258 +1974,49,0,MVA,15-17 yrs,35,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,44.380760192871094 +1974,49,0,suicide,15-17 yrs,4,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,5.072086811065674 +1974,49,0,homicide,15-17 yrs,2,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,2.536043405532837 +1974,49,0,other external,15-17 yrs,22,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,27.8964786529541 +1974,49,0,internal,15-17 yrs,17,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,21.55636978149414 +1974,49,0,all,18-20 yrs,78,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,93.70719909667969 +1974,49,0,MVA,18-20 yrs,33,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,39.645355224609375 +1974,49,0,suicide,18-20 yrs,5,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,6.006871700286865 +1974,49,0,homicide,18-20 yrs,7,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,8.40962028503418 +1974,49,0,other external,18-20 yrs,21,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,25.228862762451172 +1974,49,0,internal,18-20 yrs,12,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,14.416492462158203 +1974,49,0,all,21-24 yrs,100,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,106.73155975341797 +1974,49,0,MVA,21-24 yrs,28,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,29.884836196899414 +1974,49,0,suicide,21-24 yrs,12,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,12.80778694152832 +1974,49,0,homicide,21-24 yrs,6,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,6.40389347076416 +1974,49,0,other external,21-24 yrs,21,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,22.41362762451172 +1974,49,0,internal,21-24 yrs,33,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,35.22141647338867 +1975,49,0,MVA,15-17 yrs,19,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,24.052764892578125 +1975,49,0,suicide,15-17 yrs,11,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,13.925284385681152 +1975,49,0,homicide,15-17 yrs,2,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,2.531869888305664 +1975,49,0,other external,15-17 yrs,13,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,16.457155227661133 +1975,49,0,internal,15-17 yrs,25,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.648374557495117 +1975,49,0,all,18-20 yrs,91,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,106.71983337402344 +1975,49,0,MVA,18-20 yrs,27,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.664125442504883 +1975,49,0,suicide,18-20 yrs,14,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,16.41843605041504 +1975,49,0,homicide,18-20 yrs,2,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,2.3454906940460205 +1975,49,0,other external,18-20 yrs,21,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,24.627653121948242 +1975,49,0,internal,18-20 yrs,27,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.664125442504883 +1975,49,0,all,21-24 yrs,144,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,141.2595672607422 +1975,49,0,MVA,21-24 yrs,42,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,41.200706481933594 +1975,49,0,suicide,21-24 yrs,13,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,12.752599716186523 +1975,49,0,homicide,21-24 yrs,2,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,1.9619383811950684 +1975,49,0,other external,21-24 yrs,33,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,32.37198257446289 +1975,49,0,internal,21-24 yrs,54,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,52.97233581542969 +1976,49,0,MVA,15-17 yrs,24,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,29.946470260620117 +1976,49,0,suicide,15-17 yrs,5,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,6.2388482093811035 +1976,49,0,homicide,15-17 yrs,5,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,6.2388482093811035 +1976,49,0,other external,15-17 yrs,11,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,13.725465774536133 +1976,49,0,internal,15-17 yrs,23,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,28.698701858520508 +1976,49,0,all,18-20 yrs,84,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,96.285003662109375 +1976,49,0,MVA,18-20 yrs,36,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,41.2650032043457 +1976,49,0,suicide,18-20 yrs,8,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,9.170000076293945 +1976,49,0,homicide,18-20 yrs,5,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,5.731250286102295 +1976,49,0,other external,18-20 yrs,18,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,20.63250160217285 +1976,49,0,internal,18-20 yrs,17,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,19.486249923706055 +1976,49,0,all,21-24 yrs,114,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,104.82373046875 +1976,49,0,MVA,21-24 yrs,33,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,30.343711853027344 +1976,49,0,suicide,21-24 yrs,12,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,11.034076690673828 +1976,49,0,homicide,21-24 yrs,10,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,9.195064544677734 +1976,49,0,other external,21-24 yrs,20,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,18.39012908935547 +1976,49,0,internal,21-24 yrs,39,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,35.860748291015625 +1977,49,0,MVA,15-17 yrs,28,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,34.547000885009766 +1977,49,0,suicide,15-17 yrs,3,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,3.7014646530151367 +1977,49,0,homicide,15-17 yrs,1,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,1.2338215112686157 +1977,49,0,other external,15-17 yrs,15,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,18.507322311401367 +1977,49,0,internal,15-17 yrs,12,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,14.805858612060547 +1977,49,0,all,18-20 yrs,115,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,129.5774688720703 +1977,49,0,MVA,18-20 yrs,50,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,56.33802795410156 +1977,49,0,suicide,18-20 yrs,15,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,16.901409149169922 +1977,49,0,homicide,18-20 yrs,4,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,4.507042407989502 +1977,49,0,other external,18-20 yrs,19,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,21.408451080322266 +1977,49,0,internal,18-20 yrs,27,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,30.422534942626953 +1977,49,0,all,21-24 yrs,131,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,114.77435302734375 +1977,49,0,MVA,21-24 yrs,47,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,41.178585052490234 +1977,49,0,suicide,21-24 yrs,22,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,19.275081634521484 +1977,49,0,homicide,21-24 yrs,5,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,4.380700588226318 +1977,49,0,other external,21-24 yrs,35,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,30.66490364074707 +1977,49,0,internal,21-24 yrs,22,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,19.275081634521484 +1978,49,0,MVA,15-17 yrs,44,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,54.05670928955078 +1978,49,0,suicide,15-17 yrs,3,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,3.6856849193573 +1978,49,0,homicide,15-17 yrs,4,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,4.914246559143066 +1978,49,0,other external,15-17 yrs,14,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,17.199861526489258 +1978,49,0,internal,15-17 yrs,10,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,12.285615921020508 +1978,49,0,all,18-20 yrs,97,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,108.91900634765625 +1978,49,0,MVA,18-20 yrs,52,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,58.38957214355469 +1978,49,0,suicide,18-20 yrs,10,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,11.228763580322266 +1978,49,0,homicide,18-20 yrs,4,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,4.4915056228637695 +1978,49,0,other external,18-20 yrs,15,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,16.8431453704834 +1978,49,0,internal,18-20 yrs,16,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,17.966022491455078 +1978,49,0,all,21-24 yrs,148,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,124.41679382324219 +1978,49,0,MVA,21-24 yrs,53,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,44.554664611816406 +1978,49,0,suicide,21-24 yrs,25,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,21.01634979248047 +1978,49,0,homicide,21-24 yrs,8,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,6.725232124328613 +1978,49,0,other external,21-24 yrs,34,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,28.582237243652344 +1978,49,0,internal,21-24 yrs,28,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,23.538312911987305 +1979,49,0,MVA,15-17 yrs,25,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,31.233211517333984 +1979,49,0,suicide,15-17 yrs,8,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,9.994627952575684 +1979,49,0,homicide,15-17 yrs,3,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,3.747985363006592 +1979,49,0,other external,15-17 yrs,4,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,4.997313976287842 +1979,49,0,internal,15-17 yrs,14,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,17.490598678588867 +1979,49,0,all,18-20 yrs,102,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,112.46113586425781 +1979,49,0,MVA,18-20 yrs,46,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,50.71776580810547 +1979,49,0,suicide,18-20 yrs,11,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,12.128161430358887 +1979,49,0,homicide,18-20 yrs,5,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,5.512800693511963 +1979,49,0,other external,18-20 yrs,21,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,23.153762817382812 +1979,49,0,internal,18-20 yrs,19,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,20.94864273071289 +1979,49,0,all,21-24 yrs,140,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,113.75270080566406 +1979,49,0,MVA,21-24 yrs,53,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,43.06352233886719 +1979,49,0,suicide,21-24 yrs,23,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,18.687944412231445 +1979,49,0,homicide,21-24 yrs,14,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,11.375269889831543 +1979,49,0,other external,21-24 yrs,27,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,21.938020706176758 +1979,49,0,internal,21-24 yrs,23,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,18.687944412231445 +1980,49,0,MVA,15-17 yrs,27,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,34.60429382324219 +1980,49,0,suicide,15-17 yrs,2,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,2.5632810592651367 +1980,49,0,homicide,15-17 yrs,1,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,1.2816405296325684 +1980,49,0,other external,15-17 yrs,11,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,14.098045349121094 +1980,49,0,internal,15-17 yrs,17,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,21.787887573242188 +1980,49,0,all,18-20 yrs,95,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,106.56077575683594 +1980,49,0,MVA,18-20 yrs,46,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,51.59785079956055 +1980,49,0,suicide,18-20 yrs,13,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,14.582001686096191 +1980,49,0,homicide,18-20 yrs,9,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,10.095232009887695 +1980,49,0,other external,18-20 yrs,10,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,11.216923713684082 +1980,49,0,internal,18-20 yrs,17,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,19.068771362304688 +1980,49,0,all,21-24 yrs,140,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,110.38397979736328 +1980,49,0,MVA,21-24 yrs,51,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,40.211307525634766 +1980,49,0,suicide,21-24 yrs,24,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,18.9229679107666 +1980,49,0,homicide,21-24 yrs,7,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,5.519198894500732 +1980,49,0,other external,21-24 yrs,28,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,22.07679557800293 +1980,49,0,internal,21-24 yrs,30,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,23.653709411621094 +1981,49,0,MVA,15-17 yrs,23,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,30.234514236450195 +1981,49,0,suicide,15-17 yrs,8,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,10.516352653503418 +1981,49,0,homicide,15-17 yrs,4,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.258176326751709 +1981,49,0,other external,15-17 yrs,10,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,13.145441055297852 +1981,49,0,internal,15-17 yrs,21,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,27.605426788330078 +1981,49,0,all,18-20 yrs,100,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,113.58473205566406 +1981,49,0,MVA,18-20 yrs,48,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,54.52067184448242 +1981,49,0,suicide,18-20 yrs,12,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,13.630167961120605 +1981,49,0,homicide,18-20 yrs,5,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.679236888885498 +1981,49,0,other external,18-20 yrs,15,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,17.037710189819336 +1981,49,0,internal,18-20 yrs,20,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,22.716947555541992 +1981,49,0,all,21-24 yrs,138,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,110.19284057617188 +1981,49,0,MVA,21-24 yrs,57,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,45.51443099975586 +1981,49,0,suicide,21-24 yrs,22,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,17.566974639892578 +1981,49,0,homicide,21-24 yrs,7,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.589491844177246 +1981,49,0,other external,21-24 yrs,26,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,20.760969161987305 +1981,49,0,internal,21-24 yrs,26,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,20.760969161987305 +1982,49,0,MVA,15-17 yrs,29,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,38.40093231201172 +1982,49,0,suicide,15-17 yrs,9,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,11.91753101348877 +1982,49,0,homicide,15-17 yrs,2,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,2.6483402252197266 +1982,49,0,other external,15-17 yrs,13,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.214210510253906 +1982,49,0,internal,15-17 yrs,13,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.214210510253906 +1982,49,0,all,18-20 yrs,84,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,99.37535858154297 +1982,49,0,MVA,18-20 yrs,37,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,43.77247619628906 +1982,49,0,suicide,18-20 yrs,11,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,13.013439178466797 +1982,49,0,homicide,18-20 yrs,8,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,9.464319229125977 +1982,49,0,other external,18-20 yrs,13,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,15.37951946258545 +1982,49,0,internal,18-20 yrs,15,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.7455997467041 +1982,49,0,all,21-24 yrs,142,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,113.55548858642578 +1982,49,0,MVA,21-24 yrs,48,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,38.384952545166016 +1982,49,0,suicide,21-24 yrs,23,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,18.392789840698242 +1982,49,0,homicide,21-24 yrs,8,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,6.397492408752441 +1982,49,0,other external,21-24 yrs,31,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,24.790281295776367 +1982,49,0,internal,21-24 yrs,32,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,25.589969635009766 +1983,49,0,MVA,15-17 yrs,26,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,34.08584213256836 +1983,49,0,suicide,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,homicide,15-17 yrs,3,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,3.9329819679260254 +1983,49,0,other external,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,internal,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,all,18-20 yrs,80,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,99.80039978027344 +1983,49,0,MVA,18-20 yrs,31,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,38.67265319824219 +1983,49,0,suicide,18-20 yrs,11,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,13.722555160522461 +1983,49,0,homicide,18-20 yrs,4,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,4.990019798278809 +1983,49,0,other external,18-20 yrs,15,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,18.712574005126953 +1983,49,0,internal,18-20 yrs,19,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,23.702594757080078 +1983,49,0,all,21-24 yrs,110,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,88.9917221069336 +1983,49,0,MVA,21-24 yrs,31,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,25.079484939575195 +1983,49,0,suicide,21-24 yrs,25,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,20.225391387939453 +1983,49,0,homicide,21-24 yrs,10,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,8.090156555175781 +1983,49,0,other external,21-24 yrs,17,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,13.753266334533691 +1983,49,0,internal,21-24 yrs,27,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,21.84342384338379 +1984,49,0,MVA,15-17 yrs,28,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,35.92875671386719 +1984,49,0,suicide,15-17 yrs,11,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,14.114869117736816 +1984,49,0,homicide,15-17 yrs,1,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,1.2831699848175049 +1984,49,0,other external,15-17 yrs,6,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.699019432067871 +1984,49,0,internal,15-17 yrs,6,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.699019432067871 +1984,49,0,all,18-20 yrs,74,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,94.76609802246094 +1984,49,0,MVA,18-20 yrs,36,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,46.10242462158203 +1984,49,0,suicide,18-20 yrs,8,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,10.244982719421387 +1984,49,0,homicide,18-20 yrs,3,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,3.8418686389923096 +1984,49,0,other external,18-20 yrs,16,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,20.489965438842773 +1984,49,0,internal,18-20 yrs,11,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,14.086852073669434 +1984,49,0,all,21-24 yrs,128,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,105.10325622558594 +1984,49,0,MVA,21-24 yrs,34,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,27.918052673339844 +1984,49,0,suicide,21-24 yrs,30,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,24.633575439453125 +1984,49,0,homicide,21-24 yrs,9,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.390072822570801 +1984,49,0,other external,21-24 yrs,27,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,22.170217514038086 +1984,49,0,internal,21-24 yrs,28,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,22.991336822509766 +1985,49,0,MVA,15-17 yrs,19,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,23.66097640991211 +1985,49,0,suicide,15-17 yrs,11,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,13.69845962524414 +1985,49,0,homicide,15-17 yrs,1,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,1.2453144788742065 +1985,49,0,other external,15-17 yrs,7,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,8.717201232910156 +1985,49,0,internal,15-17 yrs,12,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,14.943774223327637 +1985,49,0,all,18-20 yrs,69,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,89.13692474365234 +1985,49,0,MVA,18-20 yrs,29,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,37.46334457397461 +1985,49,0,suicide,18-20 yrs,13,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,16.793912887573242 +1985,49,0,homicide,18-20 yrs,5,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,6.459197044372559 +1985,49,0,other external,18-20 yrs,9,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,11.626555442810059 +1985,49,0,internal,18-20 yrs,13,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,16.793912887573242 +1985,49,0,all,21-24 yrs,119,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,98.93170166015625 +1985,49,0,MVA,21-24 yrs,45,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,37.41114807128906 +1985,49,0,suicide,21-24 yrs,22,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,18.289894104003906 +1985,49,0,homicide,21-24 yrs,7,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,5.819511890411377 +1985,49,0,other external,21-24 yrs,26,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,21.61532974243164 +1985,49,0,internal,21-24 yrs,19,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,15.795818328857422 +1986,49,0,MVA,15-17 yrs,34,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,40.19245147705078 +1986,49,0,suicide,15-17 yrs,18,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,21.278356552124023 +1986,49,0,homicide,15-17 yrs,1,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,1.1821309328079224 +1986,49,0,other external,15-17 yrs,12,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,14.18557071685791 +1986,49,0,internal,15-17 yrs,15,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,17.731964111328125 +1986,49,0,all,18-20 yrs,92,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,117.97291564941406 +1986,49,0,MVA,18-20 yrs,44,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,56.42182922363281 +1986,49,0,suicide,18-20 yrs,17,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,21.79934310913086 +1986,49,0,homicide,18-20 yrs,5,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,6.411571502685547 +1986,49,0,other external,18-20 yrs,11,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,14.105457305908203 +1986,49,0,internal,18-20 yrs,15,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,19.23471450805664 +1986,49,0,all,21-24 yrs,114,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,98.790252685546875 +1986,49,0,MVA,21-24 yrs,40,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,34.663246154785156 +1986,49,0,suicide,21-24 yrs,26,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,22.531110763549805 +1986,49,0,homicide,21-24 yrs,5,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,4.3329057693481445 +1986,49,0,other external,21-24 yrs,14,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,12.132136344909668 +1986,49,0,internal,21-24 yrs,29,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,25.1308536529541 +1987,49,0,MVA,15-17 yrs,38,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,43.612491607666016 +1987,49,0,suicide,15-17 yrs,14,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.067760467529297 +1987,49,0,homicide,15-17 yrs,0,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,0 +1987,49,0,other external,15-17 yrs,5,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,5.738485813140869 +1987,49,0,internal,15-17 yrs,14,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.067760467529297 +1987,49,0,all,18-20 yrs,89,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,111.79780578613281 +1987,49,0,MVA,18-20 yrs,36,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,45.22158432006836 +1987,49,0,suicide,18-20 yrs,18,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,22.61079216003418 +1987,49,0,homicide,18-20 yrs,7,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,8.793086051940918 +1987,49,0,other external,18-20 yrs,15,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,18.842327117919922 +1987,49,0,internal,18-20 yrs,13,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.33001708984375 +1987,49,0,all,21-24 yrs,114,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,104.11339569091797 +1987,49,0,MVA,21-24 yrs,35,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,31.964637756347656 +1987,49,0,suicide,21-24 yrs,20,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,18.265506744384766 +1987,49,0,homicide,21-24 yrs,7,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,6.392927646636963 +1987,49,0,other external,21-24 yrs,25,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,22.831884384155273 +1987,49,0,internal,21-24 yrs,27,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,24.658435821533203 +1988,49,0,MVA,15-17 yrs,29,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,33.08500671386719 +1988,49,0,suicide,15-17 yrs,11,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,12.549485206604004 +1988,49,0,homicide,15-17 yrs,2,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,2.281724452972412 +1988,49,0,other external,15-17 yrs,5,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,5.704311370849609 +1988,49,0,internal,15-17 yrs,12,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,13.690346717834473 +1988,49,0,all,18-20 yrs,71,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,85.9845199584961 +1988,49,0,MVA,18-20 yrs,21,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,25.43204116821289 +1988,49,0,suicide,18-20 yrs,19,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,23.00994300842285 +1988,49,0,homicide,18-20 yrs,3,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,3.6331489086151123 +1988,49,0,other external,18-20 yrs,13,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,15.743644714355469 +1988,49,0,internal,18-20 yrs,15,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,18.16574478149414 +1988,49,0,all,21-24 yrs,81,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,75.25922393798828 +1988,49,0,MVA,21-24 yrs,34,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,31.59029197692871 +1988,49,0,suicide,21-24 yrs,16,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,14.866020202636719 +1988,49,0,homicide,21-24 yrs,5,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,4.645631313323975 +1988,49,0,other external,21-24 yrs,12,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,11.149515151977539 +1988,49,0,internal,21-24 yrs,14,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,13.007767677307129 +1989,49,0,MVA,15-17 yrs,28,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,31.900833129882812 +1989,49,0,suicide,15-17 yrs,12,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.671786308288574 +1989,49,0,homicide,15-17 yrs,2,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,2.2786309719085693 +1989,49,0,other external,15-17 yrs,11,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,12.532470703125 +1989,49,0,internal,15-17 yrs,15,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,17.089733123779297 +1989,49,0,all,18-20 yrs,89,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,101.2790756225586 +1989,49,0,MVA,18-20 yrs,43,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,48.932586669921875 +1989,49,0,suicide,18-20 yrs,13,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,14.793572425842285 +1989,49,0,homicide,18-20 yrs,5,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,5.689835548400879 +1989,49,0,other external,18-20 yrs,11,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,12.517638206481934 +1989,49,0,internal,18-20 yrs,17,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,19.345441818237305 +1989,49,0,all,21-24 yrs,90,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,83.653228759765625 +1989,49,0,MVA,21-24 yrs,32,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,29.743370056152344 +1989,49,0,suicide,21-24 yrs,15,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.942204475402832 +1989,49,0,homicide,21-24 yrs,6,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,5.5768818855285645 +1989,49,0,other external,21-24 yrs,14,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.012724876403809 +1989,49,0,internal,21-24 yrs,23,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,21.378047943115234 +1990,49,0,MVA,15-17 yrs,35,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,38.386451721191406 +1990,49,0,suicide,15-17 yrs,19,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,20.838359832763672 +1990,49,0,homicide,15-17 yrs,1,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,1.0967557430267334 +1990,49,0,other external,15-17 yrs,7,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,7.677290439605713 +1990,49,0,internal,15-17 yrs,9,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,9.87080192565918 +1990,49,0,all,18-20 yrs,79,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,85.90691375732422 +1990,49,0,MVA,18-20 yrs,37,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,40.234886169433594 +1990,49,0,suicide,18-20 yrs,18,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,19.573728561401367 +1990,49,0,homicide,18-20 yrs,5,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,5.4371466636657715 +1990,49,0,other external,18-20 yrs,4,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,4.349717140197754 +1990,49,0,internal,18-20 yrs,15,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,16.311439514160156 +1990,49,0,all,21-24 yrs,94,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,85.29016876220703 +1990,49,0,MVA,21-24 yrs,29,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,26.312923431396484 +1990,49,0,suicide,21-24 yrs,32,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,29.034950256347656 +1990,49,0,homicide,21-24 yrs,4,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,3.629368782043457 +1990,49,0,other external,21-24 yrs,8,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,7.258737564086914 +1990,49,0,internal,21-24 yrs,21,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,19.05418586730957 +1991,49,0,MVA,15-17 yrs,22,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,22.731029510498047 +1991,49,0,suicide,15-17 yrs,14,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,14.465200424194336 +1991,49,0,homicide,15-17 yrs,3,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,3.0996859073638916 +1991,49,0,other external,15-17 yrs,9,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,9.299057960510254 +1991,49,0,internal,15-17 yrs,11,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,11.365514755249023 +1991,49,0,all,18-20 yrs,70,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,74.0999526977539 +1991,49,0,MVA,18-20 yrs,28,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,29.63998031616211 +1991,49,0,suicide,18-20 yrs,16,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,16.937131881713867 +1991,49,0,homicide,18-20 yrs,5,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,5.292853355407715 +1991,49,0,other external,18-20 yrs,7,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,7.409995079040527 +1991,49,0,internal,18-20 yrs,14,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,14.819990158081055 +1991,49,0,all,21-24 yrs,94,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,82.961181640625 +1991,49,0,MVA,21-24 yrs,33,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,29.124671936035156 +1991,49,0,suicide,21-24 yrs,36,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,31.772369384765625 +1991,49,0,homicide,21-24 yrs,6,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,5.2953948974609375 +1991,49,0,other external,21-24 yrs,7,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,6.177960395812988 +1991,49,0,internal,21-24 yrs,12,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,10.590789794921875 +1992,49,0,MVA,15-17 yrs,30,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,28.518465042114258 +1992,49,0,suicide,15-17 yrs,20,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,19.012310028076172 +1992,49,0,homicide,15-17 yrs,4,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,3.802462100982666 +1992,49,0,other external,15-17 yrs,10,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,9.506155014038086 +1992,49,0,internal,15-17 yrs,16,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,15.209848403930664 +1992,49,0,all,18-20 yrs,69,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,71.62506103515625 +1992,49,0,MVA,18-20 yrs,25,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,25.951108932495117 +1992,49,0,suicide,18-20 yrs,24,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,24.913063049316406 +1992,49,0,homicide,18-20 yrs,2,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,2.0760886669158936 +1992,49,0,other external,18-20 yrs,6,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,6.228265762329102 +1992,49,0,internal,18-20 yrs,12,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,12.456531524658203 +1992,49,0,all,21-24 yrs,85,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,71.62237548828125 +1992,49,0,MVA,21-24 yrs,24,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,20.222787857055664 +1992,49,0,suicide,21-24 yrs,24,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,20.222787857055664 +1992,49,0,homicide,21-24 yrs,5,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,4.213080883026123 +1992,49,0,other external,21-24 yrs,12,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,10.111393928527832 +1992,49,0,internal,21-24 yrs,20,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,16.852323532104492 +1993,49,0,MVA,15-17 yrs,28,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,24.88424301147461 +1993,49,0,suicide,15-17 yrs,19,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,16.8857364654541 +1993,49,0,homicide,15-17 yrs,2,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,1.7774460315704346 +1993,49,0,other external,15-17 yrs,10,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,8.887229919433594 +1993,49,0,internal,15-17 yrs,20,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,17.774459838867188 +1993,49,0,all,18-20 yrs,99,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,98.43791961669922 +1993,49,0,MVA,18-20 yrs,39,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,38.7785758972168 +1993,49,0,suicide,18-20 yrs,25,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,24.858060836791992 +1993,49,0,homicide,18-20 yrs,5,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,4.971611976623535 +1993,49,0,other external,18-20 yrs,16,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,15.909158706665039 +1993,49,0,internal,18-20 yrs,14,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,13.920514106750488 +1993,49,0,all,21-24 yrs,113,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,90.8141098022461 +1993,49,0,MVA,21-24 yrs,47,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,37.772239685058594 +1993,49,0,suicide,21-24 yrs,23,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,18.484289169311523 +1993,49,0,homicide,21-24 yrs,6,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,4.821988105773926 +1993,49,0,other external,21-24 yrs,14,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,11.25130558013916 +1993,49,0,internal,21-24 yrs,23,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,18.484289169311523 +1994,49,0,MVA,15-17 yrs,38,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,31.922847747802734 +1994,49,0,suicide,15-17 yrs,20,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,16.801498413085938 +1994,49,0,homicide,15-17 yrs,7,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,5.880524635314941 +1994,49,0,other external,15-17 yrs,9,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,7.56067419052124 +1994,49,0,internal,15-17 yrs,22,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,18.48164939880371 +1994,49,0,all,18-20 yrs,103,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,95.04826354980469 +1994,49,0,MVA,18-20 yrs,45,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,41.52593994140625 +1994,49,0,suicide,18-20 yrs,20,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,18.45597267150879 +1994,49,0,homicide,18-20 yrs,7,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,6.459590435028076 +1994,49,0,other external,18-20 yrs,8,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,7.382389545440674 +1994,49,0,internal,18-20 yrs,23,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,21.224369049072266 +1994,49,0,all,21-24 yrs,123,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,94.84593200683594 +1994,49,0,MVA,21-24 yrs,41,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,31.615310668945312 +1994,49,0,suicide,21-24 yrs,29,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,22.362049102783203 +1994,49,0,homicide,21-24 yrs,5,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,3.8555257320404053 +1994,49,0,other external,21-24 yrs,17,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,13.108787536621094 +1994,49,0,internal,21-24 yrs,31,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,23.904258728027344 +1995,49,0,MVA,15-17 yrs,23,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,18.754535675048828 +1995,49,0,suicide,15-17 yrs,16,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,13.04663372039795 +1995,49,0,homicide,15-17 yrs,6,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,4.892487525939941 +1995,49,0,other external,15-17 yrs,13,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,10.60038948059082 +1995,49,0,internal,15-17 yrs,26,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.20077896118164 +1995,49,0,all,18-20 yrs,133,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,112.4631118774414 +1995,49,0,MVA,18-20 yrs,42,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,35.51466751098633 +1995,49,0,suicide,18-20 yrs,35,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,29.595556259155273 +1995,49,0,homicide,18-20 yrs,9,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,7.610285758972168 +1995,49,0,other external,18-20 yrs,16,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,13.529397010803223 +1995,49,0,internal,18-20 yrs,31,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,26.213207244873047 +1995,49,0,all,21-24 yrs,119,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,88.20499420166016 +1995,49,0,MVA,21-24 yrs,34,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,25.201425552368164 +1995,49,0,suicide,21-24 yrs,29,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.49533462524414 +1995,49,0,homicide,21-24 yrs,11,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,8.153402328491211 +1995,49,0,other external,21-24 yrs,16,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,11.85949420928955 +1995,49,0,internal,21-24 yrs,29,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.49533462524414 +1996,49,0,MVA,15-17 yrs,23,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,18.410015106201172 +1996,49,0,suicide,15-17 yrs,30,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,24.013063430786133 +1996,49,0,homicide,15-17 yrs,4,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,3.2017416954040527 +1996,49,0,other external,15-17 yrs,12,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,9.605225563049316 +1996,49,0,internal,15-17 yrs,22,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,17.60957908630371 +1996,49,0,all,18-20 yrs,116,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,92.04303741455078 +1996,49,0,MVA,18-20 yrs,45,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,35.70635223388672 +1996,49,0,suicide,18-20 yrs,18,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,14.282540321350098 +1996,49,0,homicide,18-20 yrs,12,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,9.521693229675293 +1996,49,0,other external,18-20 yrs,23,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,18.24991226196289 +1996,49,0,internal,18-20 yrs,18,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,14.282540321350098 +1996,49,0,all,21-24 yrs,121,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,86.62347412109375 +1996,49,0,MVA,21-24 yrs,40,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,28.6358585357666 +1996,49,0,suicide,21-24 yrs,22,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,15.749722480773926 +1996,49,0,homicide,21-24 yrs,7,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,5.011275291442871 +1996,49,0,other external,21-24 yrs,18,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,12.886137008666992 +1996,49,0,internal,21-24 yrs,34,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,24.34048080444336 +1970,50,0,MVA,15-17 yrs,10,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,39.073184967041016 +1970,50,0,suicide,15-17 yrs,3,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,11.721955299377441 +1970,50,0,homicide,15-17 yrs,0,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,0 +1970,50,0,other external,15-17 yrs,4,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,15.629273414611816 +1970,50,0,internal,15-17 yrs,4,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,15.629273414611816 +1970,50,0,all,18-20 yrs,37,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,136.86468505859375 +1970,50,0,MVA,18-20 yrs,16,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,59.184730529785156 +1970,50,0,suicide,18-20 yrs,2,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,7.3980913162231445 +1970,50,0,homicide,18-20 yrs,0,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,0 +1970,50,0,other external,18-20 yrs,11,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,40.68950271606445 +1970,50,0,internal,18-20 yrs,8,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,29.592365264892578 +1970,50,0,all,21-24 yrs,43,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,154.16053771972656 +1970,50,0,MVA,21-24 yrs,22,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,78.872833251953125 +1970,50,0,suicide,21-24 yrs,4,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,14.34051513671875 +1970,50,0,homicide,21-24 yrs,1,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,3.5851287841796875 +1970,50,0,other external,21-24 yrs,7,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,25.095901489257812 +1970,50,0,internal,21-24 yrs,9,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,32.26615905761719 +1971,50,0.16712328791618347,MVA,15-17 yrs,14,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,53.47389221191406 +1971,50,0.16712328791618347,suicide,15-17 yrs,1,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.819563865661621 +1971,50,0.16712328791618347,homicide,15-17 yrs,1,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.819563865661621 +1971,50,0.16712328791618347,other external,15-17 yrs,8,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,30.55651092529297 +1971,50,0.16712328791618347,internal,15-17 yrs,9,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,34.376075744628906 +1971,50,0.16712328791618347,all,18-20 yrs,39,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,143.84243774414062 +1971,50,0.16712328791618347,MVA,18-20 yrs,25,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,92.2066879272461 +1971,50,0.16712328791618347,suicide,18-20 yrs,7,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,25.817873001098633 +1971,50,0.16712328791618347,homicide,18-20 yrs,0,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,0 +1971,50,0.16712328791618347,other external,18-20 yrs,3,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,11.064803123474121 +1971,50,0.16712328791618347,internal,18-20 yrs,4,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,14.753070831298828 +1971,50,0.16712328791618347,all,21-24 yrs,42,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,131.0288848876953 +1971,50,0.16712328791618347,MVA,21-24 yrs,16,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,49.915767669677734 +1971,50,0.16712328791618347,suicide,21-24 yrs,4,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,12.478941917419434 +1971,50,0.16712328791618347,homicide,21-24 yrs,1,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.1197354793548584 +1971,50,0.16712328791618347,other external,21-24 yrs,14,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,43.67629623413086 +1971,50,0.16712328791618347,internal,21-24 yrs,7,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,21.83814811706543 +1972,50,1,MVA,15-17 yrs,20,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,74.771942138671875 +1972,50,1,suicide,15-17 yrs,4,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,14.954389572143555 +1972,50,1,homicide,15-17 yrs,0,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,0 +1972,50,1,other external,15-17 yrs,12,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,44.86316680908203 +1972,50,1,internal,15-17 yrs,8,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,29.90877914428711 +1972,50,1,all,18-20 yrs,36,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,127.57814025878906 +1972,50,1,MVA,18-20 yrs,24,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,85.052093505859375 +1972,50,1,suicide,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,homicide,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,other external,18-20 yrs,6,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,21.263023376464844 +1972,50,1,internal,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,all,21-24 yrs,34,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,103.6016845703125 +1972,50,1,MVA,21-24 yrs,14,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,42.659515380859375 +1972,50,1,suicide,21-24 yrs,4,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,12.188433647155762 +1972,50,1,homicide,21-24 yrs,0,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,0 +1972,50,1,other external,21-24 yrs,8,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,24.376867294311523 +1972,50,1,internal,21-24 yrs,8,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,24.376867294311523 +1973,50,1,MVA,15-17 yrs,14,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,51.26890563964844 +1973,50,1,suicide,15-17 yrs,4,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,14.648259162902832 +1973,50,1,homicide,15-17 yrs,2,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,7.324129581451416 +1973,50,1,other external,15-17 yrs,5,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.31032371520996 +1973,50,1,internal,15-17 yrs,5,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.31032371520996 +1973,50,1,all,18-20 yrs,48,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,164.56954956054688 +1973,50,1,MVA,18-20 yrs,23,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,78.85623931884766 +1973,50,1,suicide,18-20 yrs,3,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,10.28559684753418 +1973,50,1,homicide,18-20 yrs,0,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,0 +1973,50,1,other external,18-20 yrs,16,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,54.85651779174805 +1973,50,1,internal,18-20 yrs,6,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,20.57119369506836 +1973,50,1,all,21-24 yrs,41,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,125.04574584960938 +1973,50,1,MVA,21-24 yrs,14,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,42.69854736328125 +1973,50,1,suicide,21-24 yrs,6,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.29937744140625 +1973,50,1,homicide,21-24 yrs,1,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,3.049896240234375 +1973,50,1,other external,21-24 yrs,12,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,36.5987548828125 +1973,50,1,internal,21-24 yrs,8,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,24.399169921875 +1974,50,1,MVA,15-17 yrs,10,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,36.12455749511719 +1974,50,1,suicide,15-17 yrs,2,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,7.224911689758301 +1974,50,1,homicide,15-17 yrs,1,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.6124558448791504 +1974,50,1,other external,15-17 yrs,8,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,28.899646759033203 +1974,50,1,internal,15-17 yrs,3,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,10.837367057800293 +1974,50,1,all,18-20 yrs,35,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,117.7182846069336 +1974,50,1,MVA,18-20 yrs,23,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,77.35772705078125 +1974,50,1,suicide,18-20 yrs,2,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,6.72675895690918 +1974,50,1,homicide,18-20 yrs,1,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.36337947845459 +1974,50,1,other external,18-20 yrs,3,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,10.09013843536377 +1974,50,1,internal,18-20 yrs,6,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,20.18027687072754 +1974,50,1,all,21-24 yrs,35,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,107.48725128173828 +1974,50,1,MVA,21-24 yrs,17,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,52.20809555053711 +1974,50,1,suicide,21-24 yrs,7,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,21.497451782226562 +1974,50,1,homicide,21-24 yrs,1,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.0710644721984863 +1974,50,1,other external,21-24 yrs,5,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,15.355321884155273 +1974,50,1,internal,21-24 yrs,5,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,15.355321884155273 +1975,50,1,MVA,15-17 yrs,18,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,64.3316650390625 +1975,50,1,suicide,15-17 yrs,1,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,3.573981523513794 +1975,50,1,homicide,15-17 yrs,0,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,0 +1975,50,1,other external,15-17 yrs,7,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,25.01786994934082 +1975,50,1,internal,15-17 yrs,5,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,17.86990737915039 +1975,50,1,all,18-20 yrs,47,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,154.52394104003906 +1975,50,1,MVA,18-20 yrs,25,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,82.1935806274414 +1975,50,1,suicide,18-20 yrs,4,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,13.150973320007324 +1975,50,1,homicide,18-20 yrs,0,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,0 +1975,50,1,other external,18-20 yrs,10,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,32.87743377685547 +1975,50,1,internal,18-20 yrs,8,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,26.30194664001465 +1975,50,1,all,21-24 yrs,49,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,148.2781524658203 +1975,50,1,MVA,21-24 yrs,18,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,54.46952819824219 +1975,50,1,suicide,21-24 yrs,7,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,21.182594299316406 +1975,50,1,homicide,21-24 yrs,1,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,3.0260848999023438 +1975,50,1,other external,21-24 yrs,13,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,39.33910369873047 +1975,50,1,internal,21-24 yrs,10,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,30.260848999023438 +1976,50,1,MVA,15-17 yrs,13,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,45.67974853515625 +1976,50,1,suicide,15-17 yrs,2,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,7.027653694152832 +1976,50,1,homicide,15-17 yrs,1,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,3.513826847076416 +1976,50,1,other external,15-17 yrs,6,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,21.082962036132812 +1976,50,1,internal,15-17 yrs,3,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,10.541481018066406 +1976,50,1,all,18-20 yrs,32,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,102.70565032958984 +1976,50,1,MVA,18-20 yrs,14,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,44.93372344970703 +1976,50,1,suicide,18-20 yrs,5,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,16.047758102416992 +1976,50,1,homicide,18-20 yrs,2,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,6.419103145599365 +1976,50,1,other external,18-20 yrs,9,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,28.88596534729004 +1976,50,1,internal,18-20 yrs,2,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,6.419103145599365 +1976,50,1,all,21-24 yrs,48,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,141.70578002929688 +1976,50,1,MVA,21-24 yrs,13,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,38.3786506652832 +1976,50,1,suicide,21-24 yrs,9,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,26.569833755493164 +1976,50,1,homicide,21-24 yrs,4,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,11.808815002441406 +1976,50,1,other external,21-24 yrs,10,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,29.522037506103516 +1976,50,1,internal,21-24 yrs,12,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,35.42644500732422 +1977,50,1,MVA,15-17 yrs,7,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,24.346132278442383 +1977,50,1,suicide,15-17 yrs,2,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,6.956037998199463 +1977,50,1,homicide,15-17 yrs,2,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,6.956037998199463 +1977,50,1,other external,15-17 yrs,6,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,20.868114471435547 +1977,50,1,internal,15-17 yrs,6,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,20.868114471435547 +1977,50,1,all,18-20 yrs,35,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,109.8521728515625 +1977,50,1,MVA,18-20 yrs,22,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,69.04993438720703 +1977,50,1,suicide,18-20 yrs,6,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,18.83180046081543 +1977,50,1,homicide,18-20 yrs,1,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,3.1386334896087646 +1977,50,1,other external,18-20 yrs,3,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,9.415900230407715 +1977,50,1,internal,18-20 yrs,3,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,9.415900230407715 +1977,50,1,all,21-24 yrs,54,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,153.4221649169922 +1977,50,1,MVA,21-24 yrs,22,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,62.50532531738281 +1977,50,1,suicide,21-24 yrs,7,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,19.888057708740234 +1977,50,1,homicide,21-24 yrs,2,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,5.682302474975586 +1977,50,1,other external,21-24 yrs,11,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,31.252662658691406 +1977,50,1,internal,21-24 yrs,12,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,34.093814849853516 +1978,50,1,MVA,15-17 yrs,12,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,41.346519470214844 +1978,50,1,suicide,15-17 yrs,2,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,6.891086578369141 +1978,50,1,homicide,15-17 yrs,0,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,0 +1978,50,1,other external,15-17 yrs,8,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.564346313476562 +1978,50,1,internal,15-17 yrs,4,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,13.782173156738281 +1978,50,1,all,18-20 yrs,42,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,130.45909118652344 +1978,50,1,MVA,18-20 yrs,21,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,65.22954559326172 +1978,50,1,suicide,18-20 yrs,5,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,15.530844688415527 +1978,50,1,homicide,18-20 yrs,2,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,6.212337493896484 +1978,50,1,other external,18-20 yrs,8,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,24.849349975585938 +1978,50,1,internal,18-20 yrs,6,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,18.637012481689453 +1978,50,1,all,21-24 yrs,58,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,160.99037170410156 +1978,50,1,MVA,21-24 yrs,24,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,66.61670684814453 +1978,50,1,suicide,21-24 yrs,10,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.756959915161133 +1978,50,1,homicide,21-24 yrs,2,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,5.551392078399658 +1978,50,1,other external,21-24 yrs,12,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,33.308353424072266 +1978,50,1,internal,21-24 yrs,10,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.756959915161133 +1979,50,1,MVA,15-17 yrs,13,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,45.19224166870117 +1979,50,1,suicide,15-17 yrs,3,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,10.42897891998291 +1979,50,1,homicide,15-17 yrs,0,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,0 +1979,50,1,other external,15-17 yrs,7,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.33428382873535 +1979,50,1,internal,15-17 yrs,2,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,6.952652454376221 +1979,50,1,all,18-20 yrs,47,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,142.1270751953125 +1979,50,1,MVA,18-20 yrs,23,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,69.551544189453125 +1979,50,1,suicide,18-20 yrs,9,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,27.215822219848633 +1979,50,1,homicide,18-20 yrs,0,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,0 +1979,50,1,other external,18-20 yrs,8,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.19184112548828 +1979,50,1,internal,18-20 yrs,7,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,21.167861938476562 +1979,50,1,all,21-24 yrs,49,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,132.6188201904297 +1979,50,1,MVA,21-24 yrs,25,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,67.66265869140625 +1979,50,1,suicide,21-24 yrs,8,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,21.65205192565918 +1979,50,1,homicide,21-24 yrs,1,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,2.7065064907073975 +1979,50,1,other external,21-24 yrs,9,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.358558654785156 +1979,50,1,internal,21-24 yrs,6,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,16.239038467407227 +1980,50,1,MVA,15-17 yrs,13,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,45.41643524169922 +1980,50,1,suicide,15-17 yrs,4,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,13.974287033081055 +1980,50,1,homicide,15-17 yrs,1,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,3.4935717582702637 +1980,50,1,other external,15-17 yrs,5,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,17.467859268188477 +1980,50,1,internal,15-17 yrs,4,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,13.974287033081055 +1980,50,1,all,18-20 yrs,39,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,118.4690170288086 +1980,50,1,MVA,18-20 yrs,20,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,60.75334167480469 +1980,50,1,suicide,18-20 yrs,5,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,15.188335418701172 +1980,50,1,homicide,18-20 yrs,1,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,3.0376670360565186 +1980,50,1,other external,18-20 yrs,8,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,24.30133628845215 +1980,50,1,internal,18-20 yrs,5,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,15.188335418701172 +1980,50,1,all,21-24 yrs,39,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,101.42778778076172 +1980,50,1,MVA,21-24 yrs,20,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,52.014251708984375 +1980,50,1,suicide,21-24 yrs,8,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,20.805700302124023 +1980,50,1,homicide,21-24 yrs,1,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,2.600712537765503 +1980,50,1,other external,21-24 yrs,8,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,20.805700302124023 +1980,50,1,internal,21-24 yrs,2,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,5.201425075531006 +1981,50,1,MVA,15-17 yrs,7,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,25.44251823425293 +1981,50,1,suicide,15-17 yrs,3,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,10.903936386108398 +1981,50,1,homicide,15-17 yrs,1,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,3.634645462036133 +1981,50,1,other external,15-17 yrs,5,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,18.173227310180664 +1981,50,1,internal,15-17 yrs,3,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,10.903936386108398 +1981,50,1,all,18-20 yrs,28,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,87.73578643798828 +1981,50,1,MVA,18-20 yrs,14,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,43.86789321899414 +1981,50,1,suicide,18-20 yrs,6,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,18.800525665283203 +1981,50,1,homicide,18-20 yrs,0,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,0 +1981,50,1,other external,18-20 yrs,5,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,15.667105674743652 +1981,50,1,internal,18-20 yrs,3,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,9.400262832641602 +1981,50,1,all,21-24 yrs,43,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,107.33363342285156 +1981,50,1,MVA,21-24 yrs,24,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,59.907142639160156 +1981,50,1,suicide,21-24 yrs,7,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,17.472917556762695 +1981,50,1,homicide,21-24 yrs,2,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,4.99226188659668 +1981,50,1,other external,21-24 yrs,6,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,14.976785659790039 +1981,50,1,internal,21-24 yrs,4,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,9.98452377319336 +1982,50,1,MVA,15-17 yrs,6,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,22.785099029541016 +1982,50,1,suicide,15-17 yrs,4,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,15.190065383911133 +1982,50,1,homicide,15-17 yrs,0,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,0 +1982,50,1,other external,15-17 yrs,3,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,11.392549514770508 +1982,50,1,internal,15-17 yrs,2,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,7.595032691955566 +1982,50,1,all,18-20 yrs,39,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,129.18185424804688 +1982,50,1,MVA,18-20 yrs,25,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,82.80887603759766 +1982,50,1,suicide,18-20 yrs,4,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,13.249420166015625 +1982,50,1,homicide,18-20 yrs,1,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,3.3123550415039062 +1982,50,1,other external,18-20 yrs,4,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,13.249420166015625 +1982,50,1,internal,18-20 yrs,5,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,16.56177520751953 +1982,50,1,all,21-24 yrs,35,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,83.1749038696289 +1982,50,1,MVA,21-24 yrs,11,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,26.140684127807617 +1982,50,1,suicide,21-24 yrs,10,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,23.764259338378906 +1982,50,1,homicide,21-24 yrs,1,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,2.3764257431030273 +1982,50,1,other external,21-24 yrs,10,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,23.764259338378906 +1982,50,1,internal,21-24 yrs,3,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,7.12927770614624 +1983,50,1,MVA,15-17 yrs,10,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,39.349937438964844 +1983,50,1,suicide,15-17 yrs,1,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,3.9349939823150635 +1983,50,1,homicide,15-17 yrs,0,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,0 +1983,50,1,other external,15-17 yrs,10,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,39.349937438964844 +1983,50,1,internal,15-17 yrs,3,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,11.804981231689453 +1983,50,1,all,18-20 yrs,39,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,134.1820068359375 +1983,50,1,MVA,18-20 yrs,19,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,65.37071990966797 +1983,50,1,suicide,18-20 yrs,6,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,20.64338493347168 +1983,50,1,homicide,18-20 yrs,1,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,3.4405641555786133 +1983,50,1,other external,18-20 yrs,5,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,17.202821731567383 +1983,50,1,internal,18-20 yrs,8,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,27.524513244628906 +1983,50,1,all,21-24 yrs,46,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,107.92801666259766 +1983,50,1,MVA,21-24 yrs,21,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,49.271484375 +1983,50,1,suicide,21-24 yrs,9,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,21.116350173950195 +1983,50,1,homicide,21-24 yrs,1,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,2.3462612628936768 +1983,50,1,other external,21-24 yrs,5,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,11.731306076049805 +1983,50,1,internal,21-24 yrs,10,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,23.46261215209961 +1984,50,1,MVA,15-17 yrs,9,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,35.74833297729492 +1984,50,1,suicide,15-17 yrs,0,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,0 +1984,50,1,homicide,15-17 yrs,1,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,3.972036838531494 +1984,50,1,other external,15-17 yrs,6,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,23.83222198486328 +1984,50,1,internal,15-17 yrs,2,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.944073677062988 +1984,50,1,all,18-20 yrs,36,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,126.1697006225586 +1984,50,1,MVA,18-20 yrs,21,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,73.59899139404297 +1984,50,1,suicide,18-20 yrs,5,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,17.523569107055664 +1984,50,1,homicide,18-20 yrs,2,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.009427547454834 +1984,50,1,other external,18-20 yrs,2,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.009427547454834 +1984,50,1,internal,18-20 yrs,6,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,21.028282165527344 +1984,50,1,all,21-24 yrs,36,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,87.3956069946289 +1984,50,1,MVA,21-24 yrs,15,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,36.41483688354492 +1984,50,1,suicide,21-24 yrs,8,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,19.421247482299805 +1984,50,1,homicide,21-24 yrs,0,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,0 +1984,50,1,other external,21-24 yrs,4,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,9.710623741149902 +1984,50,1,internal,21-24 yrs,9,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,21.848901748657227 +1985,50,1,MVA,15-17 yrs,7,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,27.663610458374023 +1985,50,1,suicide,15-17 yrs,1,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,3.951944351196289 +1985,50,1,homicide,15-17 yrs,0,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,0 +1985,50,1,other external,15-17 yrs,1,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,3.951944351196289 +1985,50,1,internal,15-17 yrs,4,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,15.807777404785156 +1985,50,1,all,18-20 yrs,34,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,122.2230224609375 +1985,50,1,MVA,18-20 yrs,14,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,50.327125549316406 +1985,50,1,suicide,18-20 yrs,6,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,21.568767547607422 +1985,50,1,homicide,18-20 yrs,2,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,7.189589500427246 +1985,50,1,other external,18-20 yrs,9,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,32.353153228759766 +1985,50,1,internal,18-20 yrs,3,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,10.784383773803711 +1985,50,1,all,21-24 yrs,40,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,100.7962875366211 +1985,50,1,MVA,21-24 yrs,16,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,40.31851577758789 +1985,50,1,suicide,21-24 yrs,5,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,12.599535942077637 +1985,50,1,homicide,21-24 yrs,2,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,5.039814472198486 +1985,50,1,other external,21-24 yrs,9,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,22.67916488647461 +1985,50,1,internal,21-24 yrs,8,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,20.159257888793945 +1986,50,0.9589878916740417,MVA,15-17 yrs,7,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,27.21723175048828 +1986,50,0.9589878916740417,suicide,15-17 yrs,4,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,15.552703857421875 +1986,50,0.9589878916740417,homicide,15-17 yrs,1,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,3.8881759643554688 +1986,50,0.9589878916740417,other external,15-17 yrs,5,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,19.440879821777344 +1986,50,0.9589878916740417,internal,15-17 yrs,2,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.7763519287109375 +1986,50,0.9589878916740417,all,18-20 yrs,35,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,128.08782958984375 +1986,50,0.9589878916740417,MVA,18-20 yrs,13,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,47.57548141479492 +1986,50,0.9589878916740417,suicide,18-20 yrs,7,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,25.61756706237793 +1986,50,0.9589878916740417,homicide,18-20 yrs,2,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.319304466247559 +1986,50,0.9589878916740417,other external,18-20 yrs,11,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,40.25617599487305 +1986,50,0.9589878916740417,internal,18-20 yrs,2,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.319304466247559 +1986,50,0.9589878916740417,all,21-24 yrs,40,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,107.19549560546875 +1986,50,0.9589878916740417,MVA,21-24 yrs,18,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,48.237972259521484 +1986,50,0.9589878916740417,suicide,21-24 yrs,13,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,34.83853530883789 +1986,50,0.9589878916740417,homicide,21-24 yrs,0,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,0 +1986,50,0.9589878916740417,other external,21-24 yrs,4,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,10.719550132751465 +1986,50,0.9589878916740417,internal,21-24 yrs,5,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,13.399436950683594 +1987,50,0.6660877466201782,MVA,15-17 yrs,11,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,43.605804443359375 +1987,50,0.6660877466201782,suicide,15-17 yrs,5,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,19.820819854736328 +1987,50,0.6660877466201782,homicide,15-17 yrs,0,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,0 +1987,50,0.6660877466201782,other external,15-17 yrs,3,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,11.892492294311523 +1987,50,0.6660877466201782,internal,15-17 yrs,3,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,11.892492294311523 +1987,50,0.6660877466201782,all,18-20 yrs,38,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,137.45704650878906 +1987,50,0.6660877466201782,MVA,18-20 yrs,20,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,72.34580993652344 +1987,50,0.6660877466201782,suicide,18-20 yrs,5,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,18.08645248413086 +1987,50,0.6660877466201782,homicide,18-20 yrs,2,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,7.234581470489502 +1987,50,0.6660877466201782,other external,18-20 yrs,5,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,18.08645248413086 +1987,50,0.6660877466201782,internal,18-20 yrs,6,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,21.70374298095703 +1987,50,0.6660877466201782,all,21-24 yrs,52,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,146.57797241210938 +1987,50,0.6660877466201782,MVA,21-24 yrs,25,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,70.47017669677734 +1987,50,0.6660877466201782,suicide,21-24 yrs,6,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,16.912841796875 +1987,50,0.6660877466201782,homicide,21-24 yrs,1,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,2.8188071250915527 +1987,50,0.6660877466201782,other external,21-24 yrs,3,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,8.4564208984375 +1987,50,0.6660877466201782,internal,21-24 yrs,17,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,47.91971969604492 +1988,50,0.3230956196784973,MVA,15-17 yrs,12,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,49.6503791809082 +1988,50,0.3230956196784973,suicide,15-17 yrs,3,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,12.41259479522705 +1988,50,0.3230956196784973,homicide,15-17 yrs,1,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,4.137531757354736 +1988,50,0.3230956196784973,other external,15-17 yrs,2,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,8.275063514709473 +1988,50,0.3230956196784973,internal,15-17 yrs,3,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,12.41259479522705 +1988,50,0.3230956196784973,all,18-20 yrs,27,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,94.0340576171875 +1988,50,0.3230956196784973,MVA,18-20 yrs,19,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,66.172119140625 +1988,50,0.3230956196784973,suicide,18-20 yrs,5,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,17.413715362548828 +1988,50,0.3230956196784973,homicide,18-20 yrs,0,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,0 +1988,50,0.3230956196784973,other external,18-20 yrs,0,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,0 +1988,50,0.3230956196784973,internal,18-20 yrs,3,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,10.44822883605957 +1988,50,0.3230956196784973,all,21-24 yrs,35,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,100.66438293457031 +1988,50,0.3230956196784973,MVA,21-24 yrs,15,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,43.14188003540039 +1988,50,0.3230956196784973,suicide,21-24 yrs,4,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,11.504501342773438 +1988,50,0.3230956196784973,homicide,21-24 yrs,2,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,5.752250671386719 +1988,50,0.3230956196784973,other external,21-24 yrs,5,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,14.380626678466797 +1988,50,0.3230956196784973,internal,21-24 yrs,9,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,25.885128021240234 +1989,50,0.04008346050977707,MVA,15-17 yrs,4,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,17.77461814880371 +1989,50,0.04008346050977707,suicide,15-17 yrs,1,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,4.443654537200928 +1989,50,0.04008346050977707,homicide,15-17 yrs,0,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,0 +1989,50,0.04008346050977707,other external,15-17 yrs,1,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,4.443654537200928 +1989,50,0.04008346050977707,internal,15-17 yrs,2,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,8.887309074401855 +1989,50,0.04008346050977707,all,18-20 yrs,22,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,73.40428924560547 +1989,50,0.04008346050977707,MVA,18-20 yrs,12,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,40.03870391845703 +1989,50,0.04008346050977707,suicide,18-20 yrs,2,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,6.673117160797119 +1989,50,0.04008346050977707,homicide,18-20 yrs,0,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,0 +1989,50,0.04008346050977707,other external,18-20 yrs,6,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,20.019351959228516 +1989,50,0.04008346050977707,internal,18-20 yrs,2,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,6.673117160797119 +1989,50,0.04008346050977707,all,21-24 yrs,49,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,144.61529541015625 +1989,50,0.04008346050977707,MVA,21-24 yrs,19,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,56.0753173828125 +1989,50,0.04008346050977707,suicide,21-24 yrs,11,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,32.464656829833984 +1989,50,0.04008346050977707,homicide,21-24 yrs,2,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,5.902665138244629 +1989,50,0.04008346050977707,other external,21-24 yrs,3,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,8.853997230529785 +1989,50,0.04008346050977707,internal,21-24 yrs,14,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,41.31865692138672 +1990,50,0,MVA,15-17 yrs,7,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,31.87759017944336 +1990,50,0,suicide,15-17 yrs,2,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,9.107882499694824 +1990,50,0,homicide,15-17 yrs,0,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,0 +1990,50,0,other external,15-17 yrs,1,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,4.553941249847412 +1990,50,0,internal,15-17 yrs,2,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,9.107882499694824 +1990,50,0,all,18-20 yrs,27,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,90.93971252441406 +1990,50,0,MVA,18-20 yrs,10,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,33.681373596191406 +1990,50,0,suicide,18-20 yrs,7,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,23.576961517333984 +1990,50,0,homicide,18-20 yrs,0,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,0 +1990,50,0,other external,18-20 yrs,4,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,13.472549438476562 +1990,50,0,internal,18-20 yrs,6,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,20.208824157714844 +1990,50,0,all,21-24 yrs,34,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,100.2594985961914 +1990,50,0,MVA,21-24 yrs,14,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,41.283321380615234 +1990,50,0,suicide,21-24 yrs,8,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,23.590469360351562 +1990,50,0,homicide,21-24 yrs,1,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,2.9488086700439453 +1990,50,0,other external,21-24 yrs,7,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,20.641660690307617 +1990,50,0,internal,21-24 yrs,4,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,11.795234680175781 +1991,50,0,MVA,15-17 yrs,4,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,18.274019241333008 +1991,50,0,suicide,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,homicide,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,other external,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,internal,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,all,18-20 yrs,23,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,85.5400161743164 +1991,50,0,MVA,18-20 yrs,14,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,52.06783676147461 +1991,50,0,suicide,18-20 yrs,4,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,14.876524925231934 +1991,50,0,homicide,18-20 yrs,0,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,0 +1991,50,0,other external,18-20 yrs,1,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,3.7191312313079834 +1991,50,0,internal,18-20 yrs,4,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,14.876524925231934 +1991,50,0,all,21-24 yrs,28,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,79.26397705078125 +1991,50,0,MVA,21-24 yrs,14,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,39.631988525390625 +1991,50,0,suicide,21-24 yrs,7,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,19.815994262695312 +1991,50,0,homicide,21-24 yrs,3,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,8.4925689697265625 +1991,50,0,other external,21-24 yrs,4,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,11.32342529296875 +1991,50,0,internal,21-24 yrs,0,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,0 +1992,50,0,MVA,15-17 yrs,5,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,22.342374801635742 +1992,50,0,suicide,15-17 yrs,2,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,8.936949729919434 +1992,50,0,homicide,15-17 yrs,1,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.468474864959717 +1992,50,0,other external,15-17 yrs,7,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,31.27932357788086 +1992,50,0,internal,15-17 yrs,1,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.468474864959717 +1992,50,0,all,18-20 yrs,21,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,88.54408264160156 +1992,50,0,MVA,18-20 yrs,11,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,46.38023376464844 +1992,50,0,suicide,18-20 yrs,5,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,21.081924438476562 +1992,50,0,homicide,18-20 yrs,1,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.2163848876953125 +1992,50,0,other external,18-20 yrs,1,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.2163848876953125 +1992,50,0,internal,18-20 yrs,3,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,12.649154663085938 +1992,50,0,all,21-24 yrs,28,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,75.778076171875 +1992,50,0,MVA,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,suicide,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,homicide,21-24 yrs,1,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,2.70635986328125 +1992,50,0,other external,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,internal,21-24 yrs,9,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,24.35723876953125 +1993,50,0,MVA,15-17 yrs,6,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,26.334270477294922 +1993,50,0,suicide,15-17 yrs,0,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,homicide,15-17 yrs,0,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,other external,15-17 yrs,2,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,8.77808952331543 +1993,50,0,internal,15-17 yrs,1,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,4.389044761657715 +1993,50,0,all,18-20 yrs,23,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,103.77188110351562 +1993,50,0,MVA,18-20 yrs,9,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,40.606388092041016 +1993,50,0,suicide,18-20 yrs,8,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,36.094566345214844 +1993,50,0,homicide,18-20 yrs,0,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,other external,18-20 yrs,3,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,13.535463333129883 +1993,50,0,internal,18-20 yrs,3,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,13.535463333129883 +1993,50,0,all,21-24 yrs,33,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,89.805694580078125 +1993,50,0,MVA,21-24 yrs,9,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,24.492462158203125 +1993,50,0,suicide,21-24 yrs,4,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,10.885538101196289 +1993,50,0,homicide,21-24 yrs,4,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,10.885538101196289 +1993,50,0,other external,21-24 yrs,9,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,24.492462158203125 +1993,50,0,internal,21-24 yrs,7,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,19.049692153930664 +1994,50,0,MVA,15-17 yrs,5,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,21.124677658081055 +1994,50,0,suicide,15-17 yrs,2,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,8.449871063232422 +1994,50,0,homicide,15-17 yrs,0,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,other external,15-17 yrs,0,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,internal,15-17 yrs,1,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,4.224935531616211 +1994,50,0,all,18-20 yrs,21,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,94.91954803466797 +1994,50,0,MVA,18-20 yrs,10,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,45.19978332519531 +1994,50,0,suicide,18-20 yrs,6,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,27.119869232177734 +1994,50,0,homicide,18-20 yrs,0,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,other external,18-20 yrs,3,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,13.559934616088867 +1994,50,0,internal,18-20 yrs,2,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,9.039957046508789 +1994,50,0,all,21-24 yrs,28,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,81.38115692138672 +1994,50,0,MVA,21-24 yrs,8,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,23.251758575439453 +1994,50,0,suicide,21-24 yrs,7,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,20.34528923034668 +1994,50,0,homicide,21-24 yrs,1,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,2.9064698219299316 +1994,50,0,other external,21-24 yrs,8,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,23.251758575439453 +1994,50,0,internal,21-24 yrs,4,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,11.625879287719727 +1995,50,0,MVA,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,suicide,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,homicide,15-17 yrs,0,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,15-17 yrs,1,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,4.065701961517334 +1995,50,0,internal,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,all,18-20 yrs,23,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,101.44671630859375 +1995,50,0,MVA,18-20 yrs,14,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,61.75017547607422 +1995,50,0,suicide,18-20 yrs,1,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,4.410727024078369 +1995,50,0,homicide,18-20 yrs,0,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,18-20 yrs,4,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,17.642908096313477 +1995,50,0,internal,18-20 yrs,4,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,17.642908096313477 +1995,50,0,all,21-24 yrs,27,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,85.52964782714844 +1995,50,0,MVA,21-24 yrs,14,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,44.34870910644531 +1995,50,0,suicide,21-24 yrs,6,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,19.006589889526367 +1995,50,0,homicide,21-24 yrs,0,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,21-24 yrs,3,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,9.503294944763184 +1995,50,0,internal,21-24 yrs,4,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,12.671059608459473 +1996,50,0,MVA,15-17 yrs,11,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,43.23219680786133 +1996,50,0,suicide,15-17 yrs,2,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,7.86039924621582 +1996,50,0,homicide,15-17 yrs,0,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,0 +1996,50,0,other external,15-17 yrs,4,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,15.72079849243164 +1996,50,0,internal,15-17 yrs,1,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,3.93019962310791 +1996,50,0,all,18-20 yrs,17,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,73.7783203125 +1996,50,0,MVA,18-20 yrs,6,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,26.039405822753906 +1996,50,0,suicide,18-20 yrs,3,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,13.019702911376953 +1996,50,0,homicide,18-20 yrs,1,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,4.339900970458984 +1996,50,0,other external,18-20 yrs,3,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,13.019702911376953 +1996,50,0,internal,18-20 yrs,4,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,17.359603881835938 +1996,50,0,all,21-24 yrs,26,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,90.05888366699219 +1996,50,0,MVA,21-24 yrs,14,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,48.49324417114258 +1996,50,0,suicide,21-24 yrs,6,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,20.782819747924805 +1996,50,0,homicide,21-24 yrs,0,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,0 +1996,50,0,other external,21-24 yrs,3,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,10.391409873962402 +1996,50,0,internal,21-24 yrs,3,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,10.391409873962402 +1970,51,0,MVA,15-17 yrs,100,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,37.590450286865234 +1970,51,0,suicide,15-17 yrs,13,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,4.886758804321289 +1970,51,0,homicide,15-17 yrs,13,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,4.886758804321289 +1970,51,0,other external,15-17 yrs,58,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,21.802461624145508 +1970,51,0,internal,15-17 yrs,65,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,24.433794021606445 +1970,51,0,all,18-20 yrs,346,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,128.56622314453125 +1970,51,0,MVA,18-20 yrs,165,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,61.310482025146484 +1970,51,0,suicide,18-20 yrs,30,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,11.147360801696777 +1970,51,0,homicide,18-20 yrs,29,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,10.775781631469727 +1970,51,0,other external,18-20 yrs,54,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,20.065248489379883 +1970,51,0,internal,18-20 yrs,68,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,25.267351150512695 +1970,51,0,all,21-24 yrs,471,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,135.85977172851562 +1970,51,0,MVA,21-24 yrs,181,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,52.209381103515625 +1970,51,0,suicide,21-24 yrs,40,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,11.537984848022461 +1970,51,0,homicide,21-24 yrs,59,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,17.01852798461914 +1970,51,0,other external,21-24 yrs,74,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,21.345272064208984 +1970,51,0,internal,21-24 yrs,117,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,33.74860382080078 +1971,51,0,MVA,15-17 yrs,91,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,32.81265640258789 +1971,51,0,suicide,15-17 yrs,14,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,5.048101425170898 +1971,51,0,homicide,15-17 yrs,17,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,6.1298370361328125 +1971,51,0,other external,15-17 yrs,63,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,22.716455459594727 +1971,51,0,internal,15-17 yrs,77,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,27.764556884765625 +1971,51,0,all,18-20 yrs,355,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,126.36914825439453 +1971,51,0,MVA,18-20 yrs,139,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,49.47975158691406 +1971,51,0,suicide,18-20 yrs,25,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,8.899235725402832 +1971,51,0,homicide,18-20 yrs,33,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,11.746991157531738 +1971,51,0,other external,18-20 yrs,73,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,25.985769271850586 +1971,51,0,internal,18-20 yrs,85,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,30.257402420043945 +1971,51,0,all,21-24 yrs,472,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,132.18771362304688 +1971,51,0,MVA,21-24 yrs,175,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,49.01027297973633 +1971,51,0,suicide,21-24 yrs,40,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,11.202347755432129 +1971,51,0,homicide,21-24 yrs,50,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,14.002935409545898 +1971,51,0,other external,21-24 yrs,88,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,24.645166397094727 +1971,51,0,internal,21-24 yrs,119,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,33.32698440551758 +1972,51,0,MVA,15-17 yrs,94,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,32.81687545776367 +1972,51,0,suicide,15-17 yrs,26,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,9.077008247375488 +1972,51,0,homicide,15-17 yrs,18,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,6.284082412719727 +1972,51,0,other external,15-17 yrs,60,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.946941375732422 +1972,51,0,internal,15-17 yrs,60,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.946941375732422 +1972,51,0,all,18-20 yrs,324,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,111.88927459716797 +1972,51,0,MVA,18-20 yrs,150,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,51.80058670043945 +1972,51,0,suicide,18-20 yrs,36,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,12.432141304016113 +1972,51,0,homicide,18-20 yrs,24,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,8.288094520568848 +1972,51,0,other external,18-20 yrs,46,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,15.885514259338379 +1972,51,0,internal,18-20 yrs,68,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,23.482933044433594 +1972,51,0,all,21-24 yrs,488,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,140.98870849609375 +1972,51,0,MVA,21-24 yrs,176,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,50.848388671875 +1972,51,0,suicide,21-24 yrs,60,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,17.334678649902344 +1972,51,0,homicide,21-24 yrs,72,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.801612854003906 +1972,51,0,other external,21-24 yrs,70,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.223791122436523 +1972,51,0,internal,21-24 yrs,110,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,31.780242919921875 +1973,51,0,MVA,15-17 yrs,82,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,27.92192840576172 +1973,51,0,suicide,15-17 yrs,21,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,7.150737762451172 +1973,51,0,homicide,15-17 yrs,14,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,4.767158508300781 +1973,51,0,other external,15-17 yrs,44,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,14.982498168945312 +1973,51,0,internal,15-17 yrs,48,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,16.34454345703125 +1973,51,0,all,18-20 yrs,382,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,126.820556640625 +1973,51,0,MVA,18-20 yrs,166,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,55.110504150390625 +1973,51,0,suicide,18-20 yrs,35,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,11.619684219360352 +1973,51,0,homicide,18-20 yrs,29,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,9.627738952636719 +1973,51,0,other external,18-20 yrs,84,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,27.887243270874023 +1973,51,0,internal,18-20 yrs,68,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,22.57538604736328 +1973,51,0,all,21-24 yrs,474,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,134.41317749023438 +1973,51,0,MVA,21-24 yrs,180,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,51.04297637939453 +1973,51,0,suicide,21-24 yrs,55,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,15.596465110778809 +1973,51,0,homicide,21-24 yrs,62,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,17.581470489501953 +1973,51,0,other external,21-24 yrs,76,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,21.55147933959961 +1973,51,0,internal,21-24 yrs,101,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,28.64078140258789 +1974,51,0.5041095614433289,MVA,15-17 yrs,96,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,32.02156066894531 +1974,51,0.5041095614433289,suicide,15-17 yrs,18,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,6.004042625427246 +1974,51,0.5041095614433289,homicide,15-17 yrs,15,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,5.003368854522705 +1974,51,0.5041095614433289,other external,15-17 yrs,53,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,17.678569793701172 +1974,51,0.5041095614433289,internal,15-17 yrs,57,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,19.012802124023438 +1974,51,0.5041095614433289,all,18-20 yrs,371,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,120.1047592163086 +1974,51,0.5041095614433289,MVA,18-20 yrs,160,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,51.79719924926758 +1974,51,0.5041095614433289,suicide,18-20 yrs,32,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,10.359439849853516 +1974,51,0.5041095614433289,homicide,18-20 yrs,35,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,11.33063793182373 +1974,51,0.5041095614433289,other external,18-20 yrs,83,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,26.86979866027832 +1974,51,0.5041095614433289,internal,18-20 yrs,61,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,19.747682571411133 +1974,51,0.5041095614433289,all,21-24 yrs,458,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,125.4069595336914 +1974,51,0.5041095614433289,MVA,21-24 yrs,143,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,39.15544891357422 +1974,51,0.5041095614433289,suicide,21-24 yrs,57,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,15.607416152954102 +1974,51,0.5041095614433289,homicide,21-24 yrs,77,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,21.083702087402344 +1974,51,0.5041095614433289,other external,21-24 yrs,81,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,22.178958892822266 +1974,51,0.5041095614433289,internal,21-24 yrs,100,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,27.381431579589844 +1975,51,1,MVA,15-17 yrs,80,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,26.609987258911133 +1975,51,1,suicide,15-17 yrs,18,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,5.987246990203857 +1975,51,1,homicide,15-17 yrs,15,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,4.989372730255127 +1975,51,1,other external,15-17 yrs,60,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,19.957490921020508 +1975,51,1,internal,15-17 yrs,51,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,16.9638671875 +1975,51,1,all,18-20 yrs,397,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,124.91150665283203 +1975,51,1,MVA,18-20 yrs,160,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,50.34217071533203 +1975,51,1,suicide,18-20 yrs,42,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,13.21481990814209 +1975,51,1,homicide,18-20 yrs,47,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,14.788012504577637 +1975,51,1,other external,18-20 yrs,85,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,26.744277954101562 +1975,51,1,internal,18-20 yrs,63,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,19.822229385375977 +1975,51,1,all,21-24 yrs,473,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,124.08575439453125 +1975,51,1,MVA,21-24 yrs,135,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,35.41559600830078 +1975,51,1,suicide,21-24 yrs,83,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,21.774032592773438 +1975,51,1,homicide,21-24 yrs,71,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,18.625980377197266 +1975,51,1,other external,21-24 yrs,89,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,23.348058700561523 +1975,51,1,internal,21-24 yrs,95,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,24.92208480834961 +1976,51,1,MVA,15-17 yrs,108,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,35.70224380493164 +1976,51,1,suicide,15-17 yrs,20,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,6.6115264892578125 +1976,51,1,homicide,15-17 yrs,19,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,6.28095006942749 +1976,51,1,other external,15-17 yrs,35,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,11.570171356201172 +1976,51,1,internal,15-17 yrs,53,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,17.520545959472656 +1976,51,1,all,18-20 yrs,334,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,103.14180755615234 +1976,51,1,MVA,18-20 yrs,149,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,46.01236343383789 +1976,51,1,suicide,18-20 yrs,38,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,11.734697341918945 +1976,51,1,homicide,18-20 yrs,28,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,8.646618843078613 +1976,51,1,other external,18-20 yrs,55,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,16.98443031311035 +1976,51,1,internal,18-20 yrs,64,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,19.763700485229492 +1976,51,1,all,21-24 yrs,398,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,100.97038269042969 +1976,51,1,MVA,21-24 yrs,103,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,26.130525588989258 +1976,51,1,suicide,21-24 yrs,68,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,17.251220703125 +1976,51,1,homicide,21-24 yrs,54,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,13.699499130249023 +1976,51,1,other external,21-24 yrs,72,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,18.26599884033203 +1976,51,1,internal,21-24 yrs,101,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,25.623136520385742 +1977,51,1,MVA,15-17 yrs,103,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,34.06839370727539 +1977,51,1,suicide,15-17 yrs,25,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,8.2690277099609375 +1977,51,1,homicide,15-17 yrs,15,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,4.961416721343994 +1977,51,1,other external,15-17 yrs,51,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,16.868816375732422 +1977,51,1,internal,15-17 yrs,54,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,17.861099243164062 +1977,51,1,all,18-20 yrs,402,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,122.97225952148438 +1977,51,1,MVA,18-20 yrs,188,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,57.50941467285156 +1977,51,1,suicide,18-20 yrs,44,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,13.459650039672852 +1977,51,1,homicide,18-20 yrs,33,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,10.094738006591797 +1977,51,1,other external,18-20 yrs,74,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,22.63668441772461 +1977,51,1,internal,18-20 yrs,63,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,19.271772384643555 +1977,51,1,all,21-24 yrs,471,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,116.16178131103516 +1977,51,1,MVA,21-24 yrs,157,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,38.7205924987793 +1977,51,1,suicide,21-24 yrs,77,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,18.990354537963867 +1977,51,1,homicide,21-24 yrs,73,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,18.003843307495117 +1977,51,1,other external,21-24 yrs,66,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,16.277446746826172 +1977,51,1,internal,21-24 yrs,98,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,24.16954231262207 +1978,51,1,MVA,15-17 yrs,84,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,27.75382423400879 +1978,51,1,suicide,15-17 yrs,17,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,5.61684513092041 +1978,51,1,homicide,15-17 yrs,15,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,4.956039905548096 +1978,51,1,other external,15-17 yrs,31,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,10.24248218536377 +1978,51,1,internal,15-17 yrs,41,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,13.5465087890625 +1978,51,1,all,18-20 yrs,366,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,111.83221435546875 +1978,51,1,MVA,18-20 yrs,166,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,50.72171401977539 +1978,51,1,suicide,18-20 yrs,33,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,10.083232879638672 +1978,51,1,homicide,18-20 yrs,37,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,11.305442810058594 +1978,51,1,other external,18-20 yrs,74,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,22.610885620117188 +1978,51,1,internal,18-20 yrs,56,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,17.11094093322754 +1978,51,1,all,21-24 yrs,460,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,110.08919525146484 +1978,51,1,MVA,21-24 yrs,163,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,39.00986862182617 +1978,51,1,suicide,21-24 yrs,71,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,16.992027282714844 +1978,51,1,homicide,21-24 yrs,49,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,11.726892471313477 +1978,51,1,other external,21-24 yrs,81,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,19.385271072387695 +1978,51,1,internal,21-24 yrs,96,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,22.975135803222656 +1979,51,1,MVA,15-17 yrs,89,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,29.763198852539062 +1979,51,1,suicide,15-17 yrs,17,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,5.685105323791504 +1979,51,1,homicide,15-17 yrs,26,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,8.694867134094238 +1979,51,1,other external,15-17 yrs,24,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,8.026031494140625 +1979,51,1,internal,15-17 yrs,55,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,18.392988204956055 +1979,51,1,all,18-20 yrs,305,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,94.22217559814453 +1979,51,1,MVA,18-20 yrs,150,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,46.33877182006836 +1979,51,1,suicide,18-20 yrs,36,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,11.121305465698242 +1979,51,1,homicide,18-20 yrs,23,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,7.105278491973877 +1979,51,1,other external,18-20 yrs,50,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.446257591247559 +1979,51,1,internal,18-20 yrs,46,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,14.210556983947754 +1979,51,1,all,21-24 yrs,452,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,107.0440673828125 +1979,51,1,MVA,21-24 yrs,147,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,34.81300354003906 +1979,51,1,suicide,21-24 yrs,94,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,22.261377334594727 +1979,51,1,homicide,21-24 yrs,67,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.867151260375977 +1979,51,1,other external,21-24 yrs,66,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.630328178405762 +1979,51,1,internal,21-24 yrs,78,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,18.472206115722656 +1980,51,1,MVA,15-17 yrs,99,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,33.70476531982422 +1980,51,1,suicide,15-17 yrs,22,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,7.489948272705078 +1980,51,1,homicide,15-17 yrs,10,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,3.404521942138672 +1980,51,1,other external,15-17 yrs,52,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,17.703514099121094 +1980,51,1,internal,15-17 yrs,59,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,20.086679458618164 +1980,51,1,all,18-20 yrs,340,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,105.73421478271484 +1980,51,1,MVA,18-20 yrs,151,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,46.958431243896484 +1980,51,1,suicide,18-20 yrs,44,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,13.68325138092041 +1980,51,1,homicide,18-20 yrs,30,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,9.329489707946777 +1980,51,1,other external,18-20 yrs,56,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,17.41504669189453 +1980,51,1,internal,18-20 yrs,59,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,18.34799575805664 +1980,51,1,all,21-24 yrs,476,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,112.21492767333984 +1980,51,1,MVA,21-24 yrs,165,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,38.89802932739258 +1980,51,1,suicide,21-24 yrs,71,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,16.737939834594727 +1980,51,1,homicide,21-24 yrs,62,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,14.616230010986328 +1980,51,1,other external,21-24 yrs,86,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,20.274124145507812 +1980,51,1,internal,21-24 yrs,92,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,21.6885986328125 +1981,51,1,MVA,15-17 yrs,70,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,24.581327438354492 +1981,51,1,suicide,15-17 yrs,19,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,6.672074794769287 +1981,51,1,homicide,15-17 yrs,9,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,3.160456418991089 +1981,51,1,other external,15-17 yrs,29,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,10.183692932128906 +1981,51,1,internal,15-17 yrs,39,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.695310592651367 +1981,51,1,all,18-20 yrs,313,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,96.06649017333984 +1981,51,1,MVA,18-20 yrs,141,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,43.27595901489258 +1981,51,1,suicide,18-20 yrs,42,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,12.890711784362793 +1981,51,1,homicide,18-20 yrs,33,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,10.128416061401367 +1981,51,1,other external,18-20 yrs,43,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.197632789611816 +1981,51,1,internal,18-20 yrs,54,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,16.573772430419922 +1981,51,1,all,21-24 yrs,416,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,96.263092041015625 +1981,51,1,MVA,21-24 yrs,156,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,36.09865951538086 +1981,51,1,suicide,21-24 yrs,70,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,16.198116302490234 +1981,51,1,homicide,21-24 yrs,59,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.652698516845703 +1981,51,1,other external,21-24 yrs,52,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,12.032886505126953 +1981,51,1,internal,21-24 yrs,79,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,18.280731201171875 +1982,51,1,MVA,15-17 yrs,67,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,24.57696533203125 +1982,51,1,suicide,15-17 yrs,18,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,6.602766513824463 +1982,51,1,homicide,15-17 yrs,13,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,4.768664836883545 +1982,51,1,other external,15-17 yrs,27,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,9.904150009155273 +1982,51,1,internal,15-17 yrs,41,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,15.039634704589844 +1982,51,1,all,18-20 yrs,294,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,91.1387710571289 +1982,51,1,MVA,18-20 yrs,136,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,42.15943145751953 +1982,51,1,suicide,18-20 yrs,35,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,10.849853515625 +1982,51,1,homicide,18-20 yrs,37,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,11.469844818115234 +1982,51,1,other external,18-20 yrs,44,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.639816284179688 +1982,51,1,internal,18-20 yrs,42,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.019824028015137 +1982,51,1,all,21-24 yrs,395,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,91.50148010253906 +1982,51,1,MVA,21-24 yrs,118,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,27.334619522094727 +1982,51,1,suicide,21-24 yrs,72,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,16.67875099182129 +1982,51,1,homicide,21-24 yrs,57,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.204010963439941 +1982,51,1,other external,21-24 yrs,55,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,12.74071216583252 +1982,51,1,internal,21-24 yrs,93,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,21.543386459350586 +1983,51,0.8458024263381958,MVA,15-17 yrs,45,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,17.06827735900879 +1983,51,0.8458024263381958,suicide,15-17 yrs,20,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,7.585900783538818 +1983,51,0.8458024263381958,homicide,15-17 yrs,7,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,2.6550652980804443 +1983,51,0.8458024263381958,other external,15-17 yrs,24,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,9.103080749511719 +1983,51,0.8458024263381958,internal,15-17 yrs,44,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.688982009887695 +1983,51,0.8458024263381958,all,18-20 yrs,312,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,97.00738525390625 +1983,51,0.8458024263381958,MVA,18-20 yrs,140,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,43.528953552246094 +1983,51,0.8458024263381958,suicide,18-20 yrs,47,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,14.61329174041748 +1983,51,0.8458024263381958,homicide,18-20 yrs,33,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,10.260396003723145 +1983,51,0.8458024263381958,other external,18-20 yrs,38,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,11.815001487731934 +1983,51,0.8458024263381958,internal,18-20 yrs,54,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.78973960876465 +1983,51,0.8458024263381958,all,21-24 yrs,382,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,88.26268005371094 +1983,51,0.8458024263381958,MVA,21-24 yrs,128,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,29.57493019104004 +1983,51,0.8458024263381958,suicide,21-24 yrs,63,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,14.556410789489746 +1983,51,0.8458024263381958,homicide,21-24 yrs,45,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,10.397436141967773 +1983,51,0.8458024263381958,other external,21-24 yrs,71,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.404844284057617 +1983,51,0.8458024263381958,internal,21-24 yrs,75,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,17.329059600830078 +1984,51,0.7036128640174866,MVA,15-17 yrs,68,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,25.971843719482422 +1984,51,0.7036128640174866,suicide,15-17 yrs,20,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,7.638777256011963 +1984,51,0.7036128640174866,homicide,15-17 yrs,11,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,4.201327800750732 +1984,51,0.7036128640174866,other external,15-17 yrs,25,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,9.548471450805664 +1984,51,0.7036128640174866,internal,15-17 yrs,37,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,14.131738662719727 +1984,51,0.7036128640174866,all,18-20 yrs,282,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,90.03486633300781 +1984,51,0.7036128640174866,MVA,18-20 yrs,124,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,39.58979797363281 +1984,51,0.7036128640174866,suicide,18-20 yrs,38,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,12.132357597351074 +1984,51,0.7036128640174866,homicide,18-20 yrs,18,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,5.746906280517578 +1984,51,0.7036128640174866,other external,18-20 yrs,40,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,12.770902633666992 +1984,51,0.7036128640174866,internal,18-20 yrs,62,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,19.794898986816406 +1984,51,0.7036128640174866,all,21-24 yrs,475,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,108.67103576660156 +1984,51,0.7036128640174866,MVA,21-24 yrs,175,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,40.03669738769531 +1984,51,0.7036128640174866,suicide,21-24 yrs,61,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,13.955648422241211 +1984,51,0.7036128640174866,homicide,21-24 yrs,71,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,16.243459701538086 +1984,51,0.7036128640174866,other external,21-24 yrs,66,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,15.099554061889648 +1984,51,0.7036128640174866,internal,21-24 yrs,102,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,23.335674285888672 +1985,51,0.6557776927947998,MVA,15-17 yrs,51,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,19.2561092376709 +1985,51,0.6557776927947998,suicide,15-17 yrs,24,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,9.061698913574219 +1985,51,0.6557776927947998,homicide,15-17 yrs,13,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,4.908420085906982 +1985,51,0.6557776927947998,other external,15-17 yrs,26,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,9.816840171813965 +1985,51,0.6557776927947998,internal,15-17 yrs,40,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,15.102831840515137 +1985,51,0.6557776927947998,all,18-20 yrs,232,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,76.963653564453125 +1985,51,0.6557776927947998,MVA,18-20 yrs,113,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,37.48660659790039 +1985,51,0.6557776927947998,suicide,18-20 yrs,38,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,12.606115341186523 +1985,51,0.6557776927947998,homicide,18-20 yrs,17,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,5.639577865600586 +1985,51,0.6557776927947998,other external,18-20 yrs,32,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,10.615675926208496 +1985,51,0.6557776927947998,internal,18-20 yrs,32,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,10.615675926208496 +1985,51,0.6557776927947998,all,21-24 yrs,441,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,100.55819702148438 +1985,51,0.6557776927947998,MVA,21-24 yrs,154,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,35.115562438964844 +1985,51,0.6557776927947998,suicide,21-24 yrs,76,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,17.329757690429688 +1985,51,0.6557776927947998,homicide,21-24 yrs,57,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,12.997318267822266 +1985,51,0.6557776927947998,other external,21-24 yrs,69,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,15.733595848083496 +1985,51,0.6557776927947998,internal,21-24 yrs,85,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,19.38196563720703 +1986,51,0.35157930850982666,MVA,15-17 yrs,76,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,27.966880798339844 +1986,51,0.35157930850982666,suicide,15-17 yrs,17,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,6.255749702453613 +1986,51,0.35157930850982666,homicide,15-17 yrs,13,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,4.783808708190918 +1986,51,0.35157930850982666,other external,15-17 yrs,24,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,8.831646919250488 +1986,51,0.35157930850982666,internal,15-17 yrs,33,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,12.143514633178711 +1986,51,0.35157930850982666,all,18-20 yrs,293,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,99.49809265136719 +1986,51,0.35157930850982666,MVA,18-20 yrs,147,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,49.91883850097656 +1986,51,0.35157930850982666,suicide,18-20 yrs,35,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.885437965393066 +1986,51,0.35157930850982666,homicide,18-20 yrs,21,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,7.13126277923584 +1986,51,0.35157930850982666,other external,18-20 yrs,33,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.206270217895508 +1986,51,0.35157930850982666,internal,18-20 yrs,57,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,19.356285095214844 +1986,51,0.35157930850982666,all,21-24 yrs,425,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,96.42742156982422 +1986,51,0.35157930850982666,MVA,21-24 yrs,161,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,36.52897644042969 +1986,51,0.35157930850982666,suicide,21-24 yrs,76,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,17.243492126464844 +1986,51,0.35157930850982666,homicide,21-24 yrs,61,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,13.840170860290527 +1986,51,0.35157930850982666,other external,21-24 yrs,49,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.117514610290527 +1986,51,0.35157930850982666,internal,21-24 yrs,78,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,17.697267532348633 +1987,51,0.043210454285144806,MVA,15-17 yrs,64,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,23.61719512939453 +1987,51,0.043210454285144806,suicide,15-17 yrs,25,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,9.22546672821045 +1987,51,0.043210454285144806,homicide,15-17 yrs,16,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,5.904298782348633 +1987,51,0.043210454285144806,other external,15-17 yrs,31,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,11.439579010009766 +1987,51,0.043210454285144806,internal,15-17 yrs,40,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.760746955871582 +1987,51,0.043210454285144806,all,18-20 yrs,290,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,97.96138763427734 +1987,51,0.043210454285144806,MVA,18-20 yrs,132,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,44.58932113647461 +1987,51,0.043210454285144806,suicide,18-20 yrs,52,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,17.56549072265625 +1987,51,0.043210454285144806,homicide,18-20 yrs,33,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,11.147330284118652 +1987,51,0.043210454285144806,other external,18-20 yrs,30,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,10.133936882019043 +1987,51,0.043210454285144806,internal,18-20 yrs,43,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.525309562683105 +1987,51,0.043210454285144806,all,21-24 yrs,424,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,96.44890594482422 +1987,51,0.043210454285144806,MVA,21-24 yrs,146,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,33.211181640625 +1987,51,0.043210454285144806,suicide,21-24 yrs,66,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,15.013273239135742 +1987,51,0.043210454285144806,homicide,21-24 yrs,62,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.103377342224121 +1987,51,0.043210454285144806,other external,21-24 yrs,58,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,13.193482398986816 +1987,51,0.043210454285144806,internal,21-24 yrs,92,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,20.927593231201172 +1988,51,0,MVA,15-17 yrs,75,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,28.632511138916016 +1988,51,0,suicide,15-17 yrs,29,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,11.071237564086914 +1988,51,0,homicide,15-17 yrs,17,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,6.4900360107421875 +1988,51,0,other external,15-17 yrs,28,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.689471244812012 +1988,51,0,internal,15-17 yrs,27,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.307703971862793 +1988,51,0,all,18-20 yrs,266,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,88.2984619140625 +1988,51,0,MVA,18-20 yrs,122,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,40.4977912902832 +1988,51,0,suicide,18-20 yrs,28,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,9.294574737548828 +1988,51,0,homicide,18-20 yrs,39,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,12.946015357971191 +1988,51,0,other external,18-20 yrs,28,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,9.294574737548828 +1988,51,0,internal,18-20 yrs,49,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,16.265506744384766 +1988,51,0,all,21-24 yrs,440,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,102.3491439819336 +1988,51,0,MVA,21-24 yrs,163,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,37.915706634521484 +1988,51,0,suicide,21-24 yrs,56,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,13.026254653930664 +1988,51,0,homicide,21-24 yrs,72,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,16.7480411529541 +1988,51,0,other external,21-24 yrs,44,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.234914779663086 +1988,51,0,internal,21-24 yrs,105,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,24.42422866821289 +1989,51,0,MVA,15-17 yrs,65,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,26.35590934753418 +1989,51,0,suicide,15-17 yrs,26,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.542364120483398 +1989,51,0,homicide,15-17 yrs,22,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,8.920461654663086 +1989,51,0,other external,15-17 yrs,20,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,8.10951042175293 +1989,51,0,internal,15-17 yrs,27,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.947839736938477 +1989,51,0,all,18-20 yrs,257,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,83.29039001464844 +1989,51,0,MVA,18-20 yrs,96,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,31.112363815307617 +1989,51,0,suicide,18-20 yrs,40,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,12.963484764099121 +1989,51,0,homicide,18-20 yrs,45,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,14.5839204788208 +1989,51,0,other external,18-20 yrs,31,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.046701431274414 +1989,51,0,internal,18-20 yrs,45,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,14.5839204788208 +1989,51,0,all,21-24 yrs,385,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,91.926910400390625 +1989,51,0,MVA,21-24 yrs,115,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,27.45868682861328 +1989,51,0,suicide,21-24 yrs,57,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,13.609957695007324 +1989,51,0,homicide,21-24 yrs,75,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,17.907838821411133 +1989,51,0,other external,21-24 yrs,41,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,9.789618492126465 +1989,51,0,internal,21-24 yrs,97,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,23.160804748535156 +1990,51,0,MVA,15-17 yrs,71,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,29.641380310058594 +1990,51,0,suicide,15-17 yrs,18,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,7.514716148376465 +1990,51,0,homicide,15-17 yrs,39,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,16.281885147094727 +1990,51,0,other external,15-17 yrs,17,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,7.097231864929199 +1990,51,0,internal,15-17 yrs,27,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,11.272074699401855 +1990,51,0,all,18-20 yrs,293,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,95.0622787475586 +1990,51,0,MVA,18-20 yrs,129,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,41.85335922241211 +1990,51,0,suicide,18-20 yrs,29,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,9.408894538879395 +1990,51,0,homicide,18-20 yrs,51,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,16.546676635742188 +1990,51,0,other external,18-20 yrs,37,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,12.004451751708984 +1990,51,0,internal,18-20 yrs,47,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,15.248897552490234 +1990,51,0,all,21-24 yrs,405,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,97.88188171386719 +1990,51,0,MVA,21-24 yrs,114,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,27.551937103271484 +1990,51,0,suicide,21-24 yrs,60,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,14.501019477844238 +1990,51,0,homicide,21-24 yrs,83,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,20.059743881225586 +1990,51,0,other external,21-24 yrs,50,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,12.084183692932129 +1990,51,0,internal,21-24 yrs,98,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,23.684999465942383 +1991,51,0,MVA,15-17 yrs,62,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,26.187740325927734 +1991,51,0,suicide,15-17 yrs,20,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,8.44765853881836 +1991,51,0,homicide,15-17 yrs,27,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,11.404338836669922 +1991,51,0,other external,15-17 yrs,22,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,9.292424201965332 +1991,51,0,internal,15-17 yrs,34,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,14.361019134521484 +1991,51,0,all,18-20 yrs,278,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,95.396270751953125 +1991,51,0,MVA,18-20 yrs,95,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,32.59944534301758 +1991,51,0,suicide,18-20 yrs,29,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,9.951409339904785 +1991,51,0,homicide,18-20 yrs,62,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,21.275426864624023 +1991,51,0,other external,18-20 yrs,30,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,10.294561386108398 +1991,51,0,internal,18-20 yrs,62,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,21.275426864624023 +1991,51,0,all,21-24 yrs,404,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,98.16499328613281 +1991,51,0,MVA,21-24 yrs,123,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,29.88686752319336 +1991,51,0,suicide,21-24 yrs,56,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,13.60702896118164 +1991,51,0,homicide,21-24 yrs,98,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,23.812301635742188 +1991,51,0,other external,21-24 yrs,44,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,10.691237449645996 +1991,51,0,internal,21-24 yrs,83,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,20.167560577392578 +1992,51,0,MVA,15-17 yrs,46,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,19.09307861328125 +1992,51,0,suicide,15-17 yrs,21,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,8.716405868530273 +1992,51,0,homicide,15-17 yrs,27,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,11.206807136535645 +1992,51,0,other external,15-17 yrs,9,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,3.735602378845215 +1992,51,0,internal,15-17 yrs,39,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.187610626220703 +1992,51,0,all,18-20 yrs,273,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,98.56841278076172 +1992,51,0,MVA,18-20 yrs,102,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,36.8277587890625 +1992,51,0,suicide,18-20 yrs,38,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,13.720145225524902 +1992,51,0,homicide,18-20 yrs,65,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.468669891357422 +1992,51,0,other external,18-20 yrs,22,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,7.943242073059082 +1992,51,0,internal,18-20 yrs,46,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.608596801757812 +1992,51,0,all,21-24 yrs,405,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,97.304779052734375 +1992,51,0,MVA,21-24 yrs,98,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.545352935791016 +1992,51,0,suicide,21-24 yrs,70,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.8181095123291 +1992,51,0,homicide,21-24 yrs,93,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,22.34406089782715 +1992,51,0,other external,21-24 yrs,45,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,10.811641693115234 +1992,51,0,internal,21-24 yrs,99,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.785612106323242 +1993,51,0,MVA,15-17 yrs,46,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.842960357666016 +1993,51,0,suicide,15-17 yrs,23,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,9.421480178833008 +1993,51,0,homicide,15-17 yrs,29,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,11.879257202148438 +1993,51,0,other external,15-17 yrs,21,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,8.60222053527832 +1993,51,0,internal,15-17 yrs,26,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,10.650368690490723 +1993,51,0,all,18-20 yrs,223,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,82.385406494140625 +1993,51,0,MVA,18-20 yrs,67,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,24.752567291259766 +1993,51,0,suicide,18-20 yrs,37,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,13.669327735900879 +1993,51,0,homicide,18-20 yrs,52,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,19.210947036743164 +1993,51,0,other external,18-20 yrs,17,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,6.280501842498779 +1993,51,0,internal,18-20 yrs,50,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.472064971923828 +1993,51,0,all,21-24 yrs,394,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,95.041900634765625 +1993,51,0,MVA,21-24 yrs,94,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,22.674970626831055 +1993,51,0,suicide,21-24 yrs,73,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,17.609285354614258 +1993,51,0,homicide,21-24 yrs,77,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.57417869567871 +1993,51,0,other external,21-24 yrs,42,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,10.131370544433594 +1993,51,0,internal,21-24 yrs,108,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,26.052095413208008 +1994,51,0,MVA,15-17 yrs,63,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,25.10270118713379 +1994,51,0,suicide,15-17 yrs,20,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,7.969111919403076 +1994,51,0,homicide,15-17 yrs,22,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.766022682189941 +1994,51,0,other external,15-17 yrs,25,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,9.961389541625977 +1994,51,0,internal,15-17 yrs,32,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,12.750578880310059 +1994,51,0,all,18-20 yrs,238,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,88.8079605102539 +1994,51,0,MVA,18-20 yrs,88,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,32.83655548095703 +1994,51,0,suicide,18-20 yrs,30,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,11.194280624389648 +1994,51,0,homicide,18-20 yrs,60,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,22.388561248779297 +1994,51,0,other external,18-20 yrs,23,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.582282066345215 +1994,51,0,internal,18-20 yrs,37,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,13.806279182434082 +1994,51,0,all,21-24 yrs,373,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,92.396942138671875 +1994,51,0,MVA,21-24 yrs,98,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,24.2758731842041 +1994,51,0,suicide,21-24 yrs,65,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,16.10134506225586 +1994,51,0,homicide,21-24 yrs,97,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,24.028160095214844 +1994,51,0,other external,21-24 yrs,36,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.917667388916016 +1994,51,0,internal,21-24 yrs,77,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,19.07390022277832 +1995,51,0,MVA,15-17 yrs,64,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,24.747018814086914 +1995,51,0,suicide,15-17 yrs,16,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,6.1867547035217285 +1995,51,0,homicide,15-17 yrs,27,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,10.440149307250977 +1995,51,0,other external,15-17 yrs,19,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,7.346771717071533 +1995,51,0,internal,15-17 yrs,30,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,11.600165367126465 +1995,51,0,all,18-20 yrs,243,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,89.71126556396484 +1995,51,0,MVA,18-20 yrs,89,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,32.85721206665039 +1995,51,0,suicide,18-20 yrs,33,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,12.183011054992676 +1995,51,0,homicide,18-20 yrs,65,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,23.99683952331543 +1995,51,0,other external,18-20 yrs,21,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,7.7528252601623535 +1995,51,0,internal,18-20 yrs,35,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,12.921375274658203 +1995,51,0,all,21-24 yrs,366,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,94.2424545288086 +1995,51,0,MVA,21-24 yrs,98,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,25.234317779541016 +1995,51,0,suicide,21-24 yrs,69,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,17.76702117919922 +1995,51,0,homicide,21-24 yrs,76,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,19.56947135925293 +1995,51,0,other external,21-24 yrs,32,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,8.239777565002441 +1995,51,0,internal,21-24 yrs,91,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,23.431867599487305 +1996,51,0,MVA,15-17 yrs,55,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,20.750253677368164 +1996,51,0,suicide,15-17 yrs,32,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,12.072875022888184 +1996,51,0,homicide,15-17 yrs,28,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,10.563765525817871 +1996,51,0,other external,15-17 yrs,21,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,7.922824382781982 +1996,51,0,internal,15-17 yrs,41,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,15.468371391296387 +1996,51,0,all,18-20 yrs,240,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,87.3912582397461 +1996,51,0,MVA,18-20 yrs,81,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,29.494550704956055 +1996,51,0,suicide,18-20 yrs,31,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,11.28803825378418 +1996,51,0,homicide,18-20 yrs,55,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,20.027164459228516 +1996,51,0,other external,18-20 yrs,23,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,8.374996185302734 +1996,51,0,internal,18-20 yrs,50,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,18.206512451171875 +1996,51,0,all,21-24 yrs,345,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,92.13291931152344 +1996,51,0,MVA,21-24 yrs,74,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,19.761842727661133 +1996,51,0,suicide,21-24 yrs,69,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,18.426584243774414 +1996,51,0,homicide,21-24 yrs,72,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,19.227739334106445 +1996,51,0,other external,21-24 yrs,42,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,11.216180801391602 +1996,51,0,internal,21-24 yrs,88,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,23.50057029724121 +1970,53,0,MVA,15-17 yrs,56,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,27.66333770751953 +1970,53,0,suicide,15-17 yrs,9,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,4.445893287658691 +1970,53,0,homicide,15-17 yrs,9,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,4.445893287658691 +1970,53,0,other external,15-17 yrs,41,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,20.253515243530273 +1970,53,0,internal,15-17 yrs,35,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,17.28958511352539 +1970,53,0,all,18-20 yrs,264,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,137.4842529296875 +1970,53,0,MVA,18-20 yrs,124,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,64.57593536376953 +1970,53,0,suicide,18-20 yrs,22,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,11.45702075958252 +1970,53,0,homicide,18-20 yrs,12,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,6.249283790588379 +1970,53,0,other external,18-20 yrs,51,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,26.55945587158203 +1970,53,0,internal,18-20 yrs,55,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,28.64255142211914 +1970,53,0,all,21-24 yrs,289,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,124.27220916748047 +1970,53,0,MVA,21-24 yrs,112,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,48.160858154296875 +1970,53,0,suicide,21-24 yrs,34,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,14.620260238647461 +1970,53,0,homicide,21-24 yrs,16,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,6.880122661590576 +1970,53,0,other external,21-24 yrs,60,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,25.800458908081055 +1970,53,0,internal,21-24 yrs,67,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,28.81051254272461 +1971,53,0,MVA,15-17 yrs,59,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,29.11121940612793 +1971,53,0,suicide,15-17 yrs,11,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,5.427515506744385 +1971,53,0,homicide,15-17 yrs,4,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,1.9736419916152954 +1971,53,0,other external,15-17 yrs,39,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,19.243009567260742 +1971,53,0,internal,15-17 yrs,48,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,23.683704376220703 +1971,53,0,all,18-20 yrs,258,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,130.84756469726562 +1971,53,0,MVA,18-20 yrs,128,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,64.9166259765625 +1971,53,0,suicide,18-20 yrs,23,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,11.664705276489258 +1971,53,0,homicide,18-20 yrs,8,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,4.057289123535156 +1971,53,0,other external,18-20 yrs,39,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,19.77928352355957 +1971,53,0,internal,18-20 yrs,60,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,30.42966651916504 +1971,53,0,all,21-24 yrs,314,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,126.21492004394531 +1971,53,0,MVA,21-24 yrs,117,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,47.02912521362305 +1971,53,0,suicide,21-24 yrs,33,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,13.264625549316406 +1971,53,0,homicide,21-24 yrs,13,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,5.22545862197876 +1971,53,0,other external,21-24 yrs,64,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,25.72533416748047 +1971,53,0,internal,21-24 yrs,87,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,34.970375061035156 +1972,53,0,MVA,15-17 yrs,92,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,45.02388381958008 +1972,53,0,suicide,15-17 yrs,10,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,4.893900394439697 +1972,53,0,homicide,15-17 yrs,2,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,0.9787800312042236 +1972,53,0,other external,15-17 yrs,48,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,23.490720748901367 +1972,53,0,internal,15-17 yrs,42,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,20.554380416870117 +1972,53,0,all,18-20 yrs,250,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,128.0298309326172 +1972,53,0,MVA,18-20 yrs,110,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,56.33312225341797 +1972,53,0,suicide,18-20 yrs,14,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,7.169670104980469 +1972,53,0,homicide,18-20 yrs,6,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,3.0727157592773438 +1972,53,0,other external,18-20 yrs,62,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,31.75139617919922 +1972,53,0,internal,18-20 yrs,58,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,29.702919006347656 +1972,53,0,all,21-24 yrs,326,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,135.8571014404297 +1972,53,0,MVA,21-24 yrs,100,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,41.67395782470703 +1972,53,0,suicide,21-24 yrs,40,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,16.669584274291992 +1972,53,0,homicide,21-24 yrs,24,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,10.001749992370605 +1972,53,0,other external,21-24 yrs,70,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,29.171772003173828 +1972,53,0,internal,21-24 yrs,92,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,38.34004211425781 +1973,53,0,MVA,15-17 yrs,71,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,34.44244384765625 +1973,53,0,suicide,15-17 yrs,11,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,5.336153507232666 +1973,53,0,homicide,15-17 yrs,6,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,2.9106290340423584 +1973,53,0,other external,15-17 yrs,37,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,17.94887924194336 +1973,53,0,internal,15-17 yrs,44,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,21.344614028930664 +1973,53,0,all,18-20 yrs,264,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,132.41976928710938 +1973,53,0,MVA,18-20 yrs,114,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,57.1812629699707 +1973,53,0,suicide,18-20 yrs,24,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,12.038161277770996 +1973,53,0,homicide,18-20 yrs,15,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,7.523850440979004 +1973,53,0,other external,18-20 yrs,58,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,29.092222213745117 +1973,53,0,internal,18-20 yrs,53,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,26.584272384643555 +1973,53,0,all,21-24 yrs,327,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,133.24803161621094 +1973,53,0,MVA,21-24 yrs,112,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,45.63846969604492 +1973,53,0,suicide,21-24 yrs,34,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,13.854535102844238 +1973,53,0,homicide,21-24 yrs,19,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,7.7422404289245605 +1973,53,0,other external,21-24 yrs,78,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,31.783933639526367 +1973,53,0,internal,21-24 yrs,84,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,34.228851318359375 +1974,53,0,MVA,15-17 yrs,78,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,37.19191360473633 +1974,53,0,suicide,15-17 yrs,13,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,6.198652744293213 +1974,53,0,homicide,15-17 yrs,12,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,5.721833229064941 +1974,53,0,other external,15-17 yrs,45,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,21.45687484741211 +1974,53,0,internal,15-17 yrs,52,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,24.79461097717285 +1974,53,0,all,18-20 yrs,267,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,130.83682250976562 +1974,53,0,MVA,18-20 yrs,106,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,51.94270706176758 +1974,53,0,suicide,18-20 yrs,23,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,11.270586967468262 +1974,53,0,homicide,18-20 yrs,13,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,6.370331764221191 +1974,53,0,other external,18-20 yrs,67,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,32.83171081542969 +1974,53,0,internal,18-20 yrs,58,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,28.421480178833008 +1974,53,0,all,21-24 yrs,304,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,118.7620620727539 +1974,53,0,MVA,21-24 yrs,118,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,46.09843063354492 +1974,53,0,suicide,21-24 yrs,51,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,19.923898696899414 +1974,53,0,homicide,21-24 yrs,19,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,7.422628879547119 +1974,53,0,other external,21-24 yrs,66,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,25.78386878967285 +1974,53,0,internal,21-24 yrs,50,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,19.533233642578125 +1975,53,0,MVA,15-17 yrs,78,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,37.051815032958984 +1975,53,0,suicide,15-17 yrs,6,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,2.850139617919922 +1975,53,0,homicide,15-17 yrs,5,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,2.3751163482666016 +1975,53,0,other external,15-17 yrs,31,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,14.72572135925293 +1975,53,0,internal,15-17 yrs,42,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,19.950977325439453 +1975,53,0,all,18-20 yrs,276,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,131.42794799804688 +1975,53,0,MVA,18-20 yrs,122,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,58.09496307373047 +1975,53,0,suicide,18-20 yrs,33,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,15.714210510253906 +1975,53,0,homicide,18-20 yrs,15,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,7.142823219299316 +1975,53,0,other external,18-20 yrs,58,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,27.618915557861328 +1975,53,0,internal,18-20 yrs,48,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,22.85703468322754 +1975,53,0,all,21-24 yrs,371,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,138.9747314453125 +1975,53,0,MVA,21-24 yrs,116,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,43.45301818847656 +1975,53,0,suicide,21-24 yrs,45,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,16.856773376464844 +1975,53,0,homicide,21-24 yrs,31,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,11.612443923950195 +1975,53,0,other external,21-24 yrs,89,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,33.338951110839844 +1975,53,0,internal,21-24 yrs,90,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,33.71354675292969 +1976,53,0,MVA,15-17 yrs,58,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,27.19021987915039 +1976,53,0,suicide,15-17 yrs,12,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,5.62556266784668 +1976,53,0,homicide,15-17 yrs,10,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,4.687968730926514 +1976,53,0,other external,15-17 yrs,38,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,17.814281463623047 +1976,53,0,internal,15-17 yrs,43,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,20.158266067504883 +1976,53,0,all,18-20 yrs,261,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,121.42019653320312 +1976,53,0,MVA,18-20 yrs,133,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,61.87312698364258 +1976,53,0,suicide,18-20 yrs,21,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,9.769441604614258 +1976,53,0,homicide,18-20 yrs,12,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,5.582537651062012 +1976,53,0,other external,18-20 yrs,48,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,22.330150604248047 +1976,53,0,internal,18-20 yrs,47,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,21.864940643310547 +1976,53,0,all,21-24 yrs,369,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,133.3304443359375 +1976,53,0,MVA,21-24 yrs,124,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,44.8048095703125 +1976,53,0,suicide,21-24 yrs,53,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,19.150442123413086 +1976,53,0,homicide,21-24 yrs,26,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,9.394556999206543 +1976,53,0,other external,21-24 yrs,88,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,31.79696273803711 +1976,53,0,internal,21-24 yrs,78,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,28.183670043945312 +1977,53,0,MVA,15-17 yrs,85,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,39.51539993286133 +1977,53,0,suicide,15-17 yrs,18,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,8.36796760559082 +1977,53,0,homicide,15-17 yrs,6,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,2.7893223762512207 +1977,53,0,other external,15-17 yrs,43,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,19.990144729614258 +1977,53,0,internal,15-17 yrs,36,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,16.73593521118164 +1977,53,0,all,18-20 yrs,281,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,128.86598205566406 +1977,53,0,MVA,18-20 yrs,129,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,59.159114837646484 +1977,53,0,suicide,18-20 yrs,24,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,11.006346702575684 +1977,53,0,homicide,18-20 yrs,8,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,3.6687822341918945 +1977,53,0,other external,18-20 yrs,59,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.057270050048828 +1977,53,0,internal,18-20 yrs,61,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.974464416503906 +1977,53,0,all,21-24 yrs,394,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,137.56069946289062 +1977,53,0,MVA,21-24 yrs,154,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,53.76738357543945 +1977,53,0,suicide,21-24 yrs,61,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,21.297470092773438 +1977,53,0,homicide,21-24 yrs,28,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,9.775887489318848 +1977,53,0,other external,21-24 yrs,79,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.581968307495117 +1977,53,0,internal,21-24 yrs,72,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,25.137996673583984 +1978,53,0,MVA,15-17 yrs,97,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,44.64429473876953 +1978,53,0,suicide,15-17 yrs,14,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,6.443506717681885 +1978,53,0,homicide,15-17 yrs,12,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,5.523005485534668 +1978,53,0,other external,15-17 yrs,35,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,16.108766555786133 +1978,53,0,internal,15-17 yrs,45,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,20.711271286010742 +1978,53,0,all,18-20 yrs,295,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,133.3297119140625 +1978,53,0,MVA,18-20 yrs,150,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,67.794769287109375 +1978,53,0,suicide,18-20 yrs,31,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,14.010919570922852 +1978,53,0,homicide,18-20 yrs,16,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,7.231442451477051 +1978,53,0,other external,18-20 yrs,53,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,23.954153060913086 +1978,53,0,internal,18-20 yrs,45,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,20.33843231201172 +1978,53,0,all,21-24 yrs,407,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,136.40736389160156 +1978,53,0,MVA,21-24 yrs,169,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,56.640892028808594 +1978,53,0,suicide,21-24 yrs,53,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,17.763120651245117 +1978,53,0,homicide,21-24 yrs,22,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,7.37337064743042 +1978,53,0,other external,21-24 yrs,87,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,29.158329010009766 +1978,53,0,internal,21-24 yrs,76,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,25.471643447875977 +1979,53,0,MVA,15-17 yrs,85,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,39.39927673339844 +1979,53,0,suicide,15-17 yrs,18,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,8.343376159667969 +1979,53,0,homicide,15-17 yrs,9,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,4.171688079833984 +1979,53,0,other external,15-17 yrs,39,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,18.077314376831055 +1979,53,0,internal,15-17 yrs,46,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,21.321962356567383 +1979,53,0,all,18-20 yrs,301,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,132.64352416992188 +1979,53,0,MVA,18-20 yrs,141,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,62.13534164428711 +1979,53,0,suicide,18-20 yrs,42,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,18.508399963378906 +1979,53,0,homicide,18-20 yrs,10,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,4.406761646270752 +1979,53,0,other external,18-20 yrs,62,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,27.321922302246094 +1979,53,0,internal,18-20 yrs,46,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,20.27110481262207 +1979,53,0,all,21-24 yrs,410,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,132.07614135742188 +1979,53,0,MVA,21-24 yrs,165,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,53.152591705322266 +1979,53,0,suicide,21-24 yrs,53,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,17.073257446289062 +1979,53,0,homicide,21-24 yrs,30,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,9.6641082763671875 +1979,53,0,other external,21-24 yrs,73,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,23.515995025634766 +1979,53,0,internal,21-24 yrs,89,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,28.67018699645996 +1980,53,0,MVA,15-17 yrs,96,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,44.88204574584961 +1980,53,0,suicide,15-17 yrs,17,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,7.947862148284912 +1980,53,0,homicide,15-17 yrs,8,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,3.740170478820801 +1980,53,0,other external,15-17 yrs,30,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,14.025638580322266 +1980,53,0,internal,15-17 yrs,40,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,18.700851440429688 +1980,53,0,all,18-20 yrs,289,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,123.94975280761719 +1980,53,0,MVA,18-20 yrs,144,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,61.76042938232422 +1980,53,0,suicide,18-20 yrs,30,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,12.866756439208984 +1980,53,0,homicide,18-20 yrs,19,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,8.148945808410645 +1980,53,0,other external,18-20 yrs,61,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,26.162405014038086 +1980,53,0,internal,18-20 yrs,35,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,15.011215209960938 +1980,53,0,all,21-24 yrs,395,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,122.79779815673828 +1980,53,0,MVA,21-24 yrs,154,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,47.8755989074707 +1980,53,0,suicide,21-24 yrs,72,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,22.38339614868164 +1980,53,0,homicide,21-24 yrs,29,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,9.015534400939941 +1980,53,0,other external,21-24 yrs,57,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,17.72018814086914 +1980,53,0,internal,21-24 yrs,83,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,25.803081512451172 +1981,53,0,MVA,15-17 yrs,76,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,36.909149169921875 +1981,53,0,suicide,15-17 yrs,22,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,10.68422794342041 +1981,53,0,homicide,15-17 yrs,6,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,2.9138803482055664 +1981,53,0,other external,15-17 yrs,28,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,13.598108291625977 +1981,53,0,internal,15-17 yrs,34,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,16.511987686157227 +1981,53,0,all,18-20 yrs,268,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,115.47493743896484 +1981,53,0,MVA,18-20 yrs,152,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,65.49324798583984 +1981,53,0,suicide,18-20 yrs,22,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,9.47928524017334 +1981,53,0,homicide,18-20 yrs,8,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,3.4470129013061523 +1981,53,0,other external,18-20 yrs,56,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,24.129091262817383 +1981,53,0,internal,18-20 yrs,30,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,12.926298141479492 +1981,53,0,all,21-24 yrs,310,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,96.46051788330078 +1981,53,0,MVA,21-24 yrs,108,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,33.6056022644043 +1981,53,0,suicide,21-24 yrs,48,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,14.935822486877441 +1981,53,0,homicide,21-24 yrs,34,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,10.579541206359863 +1981,53,0,other external,21-24 yrs,50,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,15.558148384094238 +1981,53,0,internal,21-24 yrs,70,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,21.781408309936523 +1982,53,0,MVA,15-17 yrs,46,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.309551239013672 +1982,53,0,suicide,15-17 yrs,12,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,6.080752372741699 +1982,53,0,homicide,15-17 yrs,18,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,9.121129035949707 +1982,53,0,other external,15-17 yrs,28,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,14.188422203063965 +1982,53,0,internal,15-17 yrs,46,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.309551239013672 +1982,53,0,all,18-20 yrs,252,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,111.89407348632812 +1982,53,0,MVA,18-20 yrs,108,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,47.9546012878418 +1982,53,0,suicide,18-20 yrs,20,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.880481719970703 +1982,53,0,homicide,18-20 yrs,20,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.880481719970703 +1982,53,0,other external,18-20 yrs,54,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.9773006439209 +1982,53,0,internal,18-20 yrs,50,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,22.201204299926758 +1982,53,0,all,21-24 yrs,308,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,97.46958923339844 +1982,53,0,MVA,21-24 yrs,112,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,35.443485260009766 +1982,53,0,suicide,21-24 yrs,56,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,17.721742630004883 +1982,53,0,homicide,21-24 yrs,28,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.860871315002441 +1982,53,0,other external,21-24 yrs,58,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,18.35466194152832 +1982,53,0,internal,21-24 yrs,54,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,17.088823318481445 +1983,53,0,MVA,15-17 yrs,55,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,28.58390235900879 +1983,53,0,suicide,15-17 yrs,15,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,7.795609474182129 +1983,53,0,homicide,15-17 yrs,4,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,2.078829288482666 +1983,53,0,other external,15-17 yrs,23,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,11.953268051147461 +1983,53,0,internal,15-17 yrs,36,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,18.709463119506836 +1983,53,0,all,18-20 yrs,225,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,103.76074981689453 +1983,53,0,MVA,18-20 yrs,102,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,47.0382080078125 +1983,53,0,suicide,18-20 yrs,22,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,10.145495414733887 +1983,53,0,homicide,18-20 yrs,17,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,7.839701175689697 +1983,53,0,other external,18-20 yrs,31,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,14.295926094055176 +1983,53,0,internal,18-20 yrs,53,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,24.441421508789062 +1983,53,0,all,21-24 yrs,307,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,99.23585510253906 +1983,53,0,MVA,21-24 yrs,105,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,33.94060134887695 +1983,53,0,suicide,21-24 yrs,59,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,19.07138442993164 +1983,53,0,homicide,21-24 yrs,32,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,10.343802452087402 +1983,53,0,other external,21-24 yrs,48,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,15.515703201293945 +1983,53,0,internal,21-24 yrs,63,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,20.364360809326172 +1984,53,0,MVA,15-17 yrs,47,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,24.22905158996582 +1984,53,0,suicide,15-17 yrs,14,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,7.217164516448975 +1984,53,0,homicide,15-17 yrs,9,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,4.639605522155762 +1984,53,0,other external,15-17 yrs,23,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,11.856770515441895 +1984,53,0,internal,15-17 yrs,30,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,15.465352058410645 +1984,53,0,all,18-20 yrs,221,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,106.99122619628906 +1984,53,0,MVA,18-20 yrs,90,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,43.57108688354492 +1984,53,0,suicide,18-20 yrs,33,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,15.976064682006836 +1984,53,0,homicide,18-20 yrs,13,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,6.2936015129089355 +1984,53,0,other external,18-20 yrs,44,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,21.301420211791992 +1984,53,0,internal,18-20 yrs,41,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,19.849050521850586 +1984,53,0,all,21-24 yrs,336,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,109.91024017333984 +1984,53,0,MVA,21-24 yrs,126,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,41.216339111328125 +1984,53,0,suicide,21-24 yrs,55,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,17.99125862121582 +1984,53,0,homicide,21-24 yrs,28,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,9.159186363220215 +1984,53,0,other external,21-24 yrs,54,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,17.664146423339844 +1984,53,0,internal,21-24 yrs,73,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,23.879308700561523 +1985,53,0,MVA,15-17 yrs,48,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,24.11745262145996 +1985,53,0,suicide,15-17 yrs,15,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,7.536703586578369 +1985,53,0,homicide,15-17 yrs,6,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,3.014681577682495 +1985,53,0,other external,15-17 yrs,23,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,11.556279182434082 +1985,53,0,internal,15-17 yrs,40,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,20.097877502441406 +1985,53,0,all,18-20 yrs,201,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,101.40196990966797 +1985,53,0,MVA,18-20 yrs,78,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,39.35001754760742 +1985,53,0,suicide,18-20 yrs,29,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,14.630134582519531 +1985,53,0,homicide,18-20 yrs,16,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,8.071798324584961 +1985,53,0,other external,18-20 yrs,26,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,13.11667251586914 +1985,53,0,internal,18-20 yrs,52,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,26.23334503173828 +1985,53,0,all,21-24 yrs,298,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,98.8050537109375 +1985,53,0,MVA,21-24 yrs,107,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,35.47698211669922 +1985,53,0,suicide,21-24 yrs,47,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,15.58334732055664 +1985,53,0,homicide,21-24 yrs,33,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,10.941499710083008 +1985,53,0,other external,21-24 yrs,44,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,14.588665962219238 +1985,53,0,internal,21-24 yrs,67,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,22.21455955505371 +1986,53,0,MVA,15-17 yrs,75,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,36.90726852416992 +1986,53,0,suicide,15-17 yrs,25,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,12.302423477172852 +1986,53,0,homicide,15-17 yrs,10,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,4.920969009399414 +1986,53,0,other external,15-17 yrs,12,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,5.905163288116455 +1986,53,0,internal,15-17 yrs,37,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,18.20758628845215 +1986,53,0,all,18-20 yrs,219,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,112.74595642089844 +1986,53,0,MVA,18-20 yrs,91,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,46.848777770996094 +1986,53,0,suicide,18-20 yrs,35,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,18.018760681152344 +1986,53,0,homicide,18-20 yrs,17,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,8.751969337463379 +1986,53,0,other external,18-20 yrs,27,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,13.900186538696289 +1986,53,0,internal,18-20 yrs,49,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,25.22626495361328 +1986,53,0,all,21-24 yrs,322,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,109.68572998046875 +1986,53,0,MVA,21-24 yrs,97,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,33.04197311401367 +1986,53,0,suicide,21-24 yrs,50,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,17.031944274902344 +1986,53,0,homicide,21-24 yrs,30,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,10.21916675567627 +1986,53,0,other external,21-24 yrs,57,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,19.416418075561523 +1986,53,0,internal,21-24 yrs,88,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,29.97622299194336 +1987,53,0,MVA,15-17 yrs,62,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,31.056678771972656 +1987,53,0,suicide,15-17 yrs,27,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,13.524682998657227 +1987,53,0,homicide,15-17 yrs,7,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,3.506399154663086 +1987,53,0,other external,15-17 yrs,24,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,12.021940231323242 +1987,53,0,internal,15-17 yrs,42,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,21.038394927978516 +1987,53,0,all,18-20 yrs,212,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,107.38255310058594 +1987,53,0,MVA,18-20 yrs,86,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,43.56084442138672 +1987,53,0,suicide,18-20 yrs,29,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,14.689122200012207 +1987,53,0,homicide,18-20 yrs,24,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,12.156515121459961 +1987,53,0,other external,18-20 yrs,28,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,14.182600975036621 +1987,53,0,internal,18-20 yrs,45,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,22.793466567993164 +1987,53,0,all,21-24 yrs,310,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,108.31132507324219 +1987,53,0,MVA,21-24 yrs,102,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,35.63792037963867 +1987,53,0,suicide,21-24 yrs,66,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,23.059829711914062 +1987,53,0,homicide,21-24 yrs,34,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,11.879305839538574 +1987,53,0,other external,21-24 yrs,47,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,16.42139434814453 +1987,53,0,internal,21-24 yrs,61,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,21.31287384033203 +1988,53,0,MVA,15-17 yrs,50,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,25.98847198486328 +1988,53,0,suicide,15-17 yrs,31,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,16.112852096557617 +1988,53,0,homicide,15-17 yrs,11,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,5.717463970184326 +1988,53,0,other external,15-17 yrs,16,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,8.31631088256836 +1988,53,0,internal,15-17 yrs,29,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,15.07331371307373 +1988,53,0,all,18-20 yrs,217,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,105.88671875 +1988,53,0,MVA,18-20 yrs,95,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,46.355934143066406 +1988,53,0,suicide,18-20 yrs,40,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,19.51828956604004 +1988,53,0,homicide,18-20 yrs,17,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,8.2952728271484375 +1988,53,0,other external,18-20 yrs,21,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,10.247101783752441 +1988,53,0,internal,18-20 yrs,44,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,21.470117568969727 +1988,53,0,all,21-24 yrs,284,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,101.1723861694336 +1988,53,0,MVA,21-24 yrs,94,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,33.486637115478516 +1988,53,0,suicide,21-24 yrs,47,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,16.743318557739258 +1988,53,0,homicide,21-24 yrs,27,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,9.618501663208008 +1988,53,0,other external,21-24 yrs,34,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,12.112187385559082 +1988,53,0,internal,21-24 yrs,82,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,29.211746215820312 +1989,53,0,MVA,15-17 yrs,44,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,23.816354751586914 +1989,53,0,suicide,15-17 yrs,22,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,11.908177375793457 +1989,53,0,homicide,15-17 yrs,10,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,5.412807941436768 +1989,53,0,other external,15-17 yrs,12,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,6.4953694343566895 +1989,53,0,internal,15-17 yrs,37,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,20.027389526367188 +1989,53,0,all,18-20 yrs,214,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,101.40689849853516 +1989,53,0,MVA,18-20 yrs,92,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,43.595489501953125 +1989,53,0,suicide,18-20 yrs,36,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,17.059104919433594 +1989,53,0,homicide,18-20 yrs,21,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,9.951144218444824 +1989,53,0,other external,18-20 yrs,34,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,16.111377716064453 +1989,53,0,internal,18-20 yrs,31,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,14.68978500366211 +1989,53,0,all,21-24 yrs,263,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,95.33268737792969 +1989,53,0,MVA,21-24 yrs,81,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,29.36101722717285 +1989,53,0,suicide,21-24 yrs,43,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,15.586712837219238 +1989,53,0,homicide,21-24 yrs,24,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,8.69956111907959 +1989,53,0,other external,21-24 yrs,45,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,16.311676025390625 +1989,53,0,internal,21-24 yrs,70,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,25.37371826171875 +1990,53,0,MVA,15-17 yrs,59,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,30.990324020385742 +1990,53,0,suicide,15-17 yrs,16,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,8.404155731201172 +1990,53,0,homicide,15-17 yrs,8,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,4.202077865600586 +1990,53,0,other external,15-17 yrs,27,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,14.182012557983398 +1990,53,0,internal,15-17 yrs,24,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,12.606233596801758 +1990,53,0,all,18-20 yrs,190,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,90.36173248291016 +1990,53,0,MVA,18-20 yrs,77,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,36.62028121948242 +1990,53,0,suicide,18-20 yrs,42,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,19.974699020385742 +1990,53,0,homicide,18-20 yrs,13,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,6.182644844055176 +1990,53,0,other external,18-20 yrs,23,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,10.938525199890137 +1990,53,0,internal,18-20 yrs,35,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,16.64558219909668 +1990,53,0,all,21-24 yrs,305,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,109.64872741699219 +1990,53,0,MVA,21-24 yrs,112,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,40.26445007324219 +1990,53,0,suicide,21-24 yrs,43,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,15.458673477172852 +1990,53,0,homicide,21-24 yrs,38,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,13.661152839660645 +1990,53,0,other external,21-24 yrs,40,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,14.38016128540039 +1990,53,0,internal,21-24 yrs,72,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,25.88429069519043 +1991,53,0,MVA,15-17 yrs,44,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,22.61350440979004 +1991,53,0,suicide,15-17 yrs,23,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,11.820695877075195 +1991,53,0,homicide,15-17 yrs,13,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,6.681262493133545 +1991,53,0,other external,15-17 yrs,22,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,11.30675220489502 +1991,53,0,internal,15-17 yrs,27,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,13.876468658447266 +1991,53,0,all,18-20 yrs,201,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,98.06600189208984 +1991,53,0,MVA,18-20 yrs,73,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,35.61600875854492 +1991,53,0,suicide,18-20 yrs,32,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,15.612497329711914 +1991,53,0,homicide,18-20 yrs,25,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,12.197263717651367 +1991,53,0,other external,18-20 yrs,28,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,13.660935401916504 +1991,53,0,internal,18-20 yrs,43,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,20.979293823242188 +1991,53,0,all,21-24 yrs,282,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,100.16979217529297 +1991,53,0,MVA,21-24 yrs,86,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,30.548234939575195 +1991,53,0,suicide,21-24 yrs,56,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,19.891874313354492 +1991,53,0,homicide,21-24 yrs,27,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,9.59072494506836 +1991,53,0,other external,21-24 yrs,42,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,14.918905258178711 +1991,53,0,internal,21-24 yrs,71,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,25.220054626464844 +1992,53,0,MVA,15-17 yrs,39,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,19.063913345336914 +1992,53,0,suicide,15-17 yrs,18,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,8.798728942871094 +1992,53,0,homicide,15-17 yrs,21,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,10.265183448791504 +1992,53,0,other external,15-17 yrs,16,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,7.82109260559082 +1992,53,0,internal,15-17 yrs,28,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,13.686911582946777 +1992,53,0,all,18-20 yrs,159,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,78.78580474853516 +1992,53,0,MVA,18-20 yrs,50,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,24.77541160583496 +1992,53,0,suicide,18-20 yrs,24,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,11.892197608947754 +1992,53,0,homicide,18-20 yrs,30,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,14.865246772766113 +1992,53,0,other external,18-20 yrs,21,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,10.405673027038574 +1992,53,0,internal,18-20 yrs,34,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,16.847278594970703 +1992,53,0,all,21-24 yrs,297,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,103.59947204589844 +1992,53,0,MVA,21-24 yrs,92,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,32.0914192199707 +1992,53,0,suicide,21-24 yrs,60,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,20.92918586730957 +1992,53,0,homicide,21-24 yrs,38,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,13.25515079498291 +1992,53,0,other external,21-24 yrs,41,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,14.301610946655273 +1992,53,0,internal,21-24 yrs,66,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,23.022104263305664 +1993,53,0,MVA,15-17 yrs,56,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,26.495079040527344 +1993,53,0,suicide,15-17 yrs,14,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,6.623769760131836 +1993,53,0,homicide,15-17 yrs,28,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,13.247539520263672 +1993,53,0,other external,15-17 yrs,29,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,13.72066593170166 +1993,53,0,internal,15-17 yrs,27,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,12.774413108825684 +1993,53,0,all,18-20 yrs,198,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,96.05821990966797 +1993,53,0,MVA,18-20 yrs,84,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,40.75197219848633 +1993,53,0,suicide,18-20 yrs,24,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,11.643420219421387 +1993,53,0,homicide,18-20 yrs,23,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,11.15827751159668 +1993,53,0,other external,18-20 yrs,31,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,15.03941822052002 +1993,53,0,internal,18-20 yrs,36,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,17.465129852294922 +1993,53,0,all,21-24 yrs,289,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,100.50950622558594 +1993,53,0,MVA,21-24 yrs,83,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,28.866050720214844 +1993,53,0,suicide,21-24 yrs,48,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,16.693620681762695 +1993,53,0,homicide,21-24 yrs,36,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,12.520215034484863 +1993,53,0,other external,21-24 yrs,46,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,15.998052597045898 +1993,53,0,internal,21-24 yrs,76,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,26.431564331054688 +1994,53,0,MVA,15-17 yrs,44,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,19.938552856445312 +1994,53,0,suicide,15-17 yrs,25,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,11.328722953796387 +1994,53,0,homicide,15-17 yrs,21,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.516127586364746 +1994,53,0,other external,15-17 yrs,22,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.969276428222656 +1994,53,0,internal,15-17 yrs,22,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.969276428222656 +1994,53,0,all,18-20 yrs,168,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,79.69525909423828 +1994,53,0,MVA,18-20 yrs,47,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,22.295698165893555 +1994,53,0,suicide,18-20 yrs,34,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.128803253173828 +1994,53,0,homicide,18-20 yrs,34,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.128803253173828 +1994,53,0,other external,18-20 yrs,18,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,8.538778305053711 +1994,53,0,internal,18-20 yrs,35,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.603179931640625 +1994,53,0,all,21-24 yrs,278,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,98.02642822265625 +1994,53,0,MVA,21-24 yrs,74,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,26.093364715576172 +1994,53,0,suicide,21-24 yrs,58,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,20.451557159423828 +1994,53,0,homicide,21-24 yrs,47,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.572813034057617 +1994,53,0,other external,21-24 yrs,44,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,15.514973640441895 +1994,53,0,internal,21-24 yrs,55,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,19.39371681213379 +1995,53,0,MVA,15-17 yrs,57,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,24.68708038330078 +1995,53,0,suicide,15-17 yrs,16,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,6.929706573486328 +1995,53,0,homicide,15-17 yrs,24,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,10.394559860229492 +1995,53,0,other external,15-17 yrs,18,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,7.795920372009277 +1995,53,0,internal,15-17 yrs,25,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,10.827667236328125 +1995,53,0,all,18-20 yrs,173,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,78.45164489746094 +1995,53,0,MVA,18-20 yrs,51,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,23.127363204956055 +1995,53,0,suicide,18-20 yrs,32,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,14.511286735534668 +1995,53,0,homicide,18-20 yrs,21,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,9.523032188415527 +1995,53,0,other external,18-20 yrs,26,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,11.790420532226562 +1995,53,0,internal,18-20 yrs,43,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,19.499542236328125 +1995,53,0,all,21-24 yrs,280,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,100.04180145263672 +1995,53,0,MVA,21-24 yrs,57,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,20.365652084350586 +1995,53,0,suicide,21-24 yrs,65,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,23.223989486694336 +1995,53,0,homicide,21-24 yrs,36,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,12.862517356872559 +1995,53,0,other external,21-24 yrs,43,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,15.36356258392334 +1995,53,0,internal,21-24 yrs,79,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,28.2260799407959 +1996,53,0,MVA,15-17 yrs,36,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.946131706237793 +1996,53,0,suicide,15-17 yrs,19,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,7.888236045837402 +1996,53,0,homicide,15-17 yrs,10,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,4.151703357696533 +1996,53,0,other external,15-17 yrs,22,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,9.133747100830078 +1996,53,0,internal,15-17 yrs,35,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.530961036682129 +1996,53,0,all,18-20 yrs,177,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,77.87956237792969 +1996,53,0,MVA,18-20 yrs,69,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,30.359830856323242 +1996,53,0,suicide,18-20 yrs,32,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.079920768737793 +1996,53,0,homicide,18-20 yrs,27,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,11.87993335723877 +1996,53,0,other external,18-20 yrs,23,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,10.119943618774414 +1996,53,0,internal,18-20 yrs,26,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,11.439935684204102 +1996,53,0,all,21-24 yrs,255,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,91.54024505615234 +1996,53,0,MVA,21-24 yrs,75,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,26.923601150512695 +1996,53,0,suicide,21-24 yrs,44,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,15.79517936706543 +1996,53,0,homicide,21-24 yrs,35,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,12.564347267150879 +1996,53,0,other external,21-24 yrs,45,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,16.15416145324707 +1996,53,0,internal,21-24 yrs,56,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,20.102956771850586 +1970,54,1,MVA,15-17 yrs,53,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,49.7302360534668 +1970,54,1,suicide,15-17 yrs,4,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,3.753225326538086 +1970,54,1,homicide,15-17 yrs,3,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,2.8149189949035645 +1970,54,1,other external,15-17 yrs,26,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,24.395965576171875 +1970,54,1,internal,15-17 yrs,30,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,28.14919090270996 +1970,54,1,all,18-20 yrs,164,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,172.62612915039062 +1970,54,1,MVA,18-20 yrs,70,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,73.681884765625 +1970,54,1,suicide,18-20 yrs,4,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,4.21039342880249 +1970,54,1,homicide,18-20 yrs,4,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,4.21039342880249 +1970,54,1,other external,18-20 yrs,54,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,56.840309143066406 +1970,54,1,internal,18-20 yrs,32,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,33.68314743041992 +1970,54,1,all,21-24 yrs,187,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,187.72462463378906 +1970,54,1,MVA,21-24 yrs,76,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,76.29449462890625 +1970,54,1,suicide,21-24 yrs,6,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,6.023249626159668 +1970,54,1,homicide,21-24 yrs,6,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,6.023249626159668 +1970,54,1,other external,21-24 yrs,51,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,51.19762420654297 +1970,54,1,internal,21-24 yrs,48,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,48.185997009277344 +1971,54,1,MVA,15-17 yrs,39,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,36.440425872802734 +1971,54,1,suicide,15-17 yrs,4,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,3.7374794483184814 +1971,54,1,homicide,15-17 yrs,3,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,2.803109645843506 +1971,54,1,other external,15-17 yrs,35,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.702945709228516 +1971,54,1,internal,15-17 yrs,21,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,19.621767044067383 +1971,54,1,all,18-20 yrs,148,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,153.7007598876953 +1971,54,1,MVA,18-20 yrs,64,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,66.46519470214844 +1971,54,1,suicide,18-20 yrs,5,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,5.192593097686768 +1971,54,1,homicide,18-20 yrs,5,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,5.192593097686768 +1971,54,1,other external,18-20 yrs,31,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.19407653808594 +1971,54,1,internal,18-20 yrs,43,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,44.65630340576172 +1971,54,1,all,21-24 yrs,188,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,160.1663055419922 +1971,54,1,MVA,21-24 yrs,75,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,63.8961296081543 +1971,54,1,suicide,21-24 yrs,10,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,8.519484519958496 +1971,54,1,homicide,21-24 yrs,9,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,7.667535781860352 +1971,54,1,other external,21-24 yrs,38,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.37403869628906 +1971,54,1,internal,21-24 yrs,56,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,47.709110260009766 +1972,54,1,MVA,15-17 yrs,44,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,40.559349060058594 +1972,54,1,suicide,15-17 yrs,2,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,1.8436068296432495 +1972,54,1,homicide,15-17 yrs,2,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,1.8436068296432495 +1972,54,1,other external,15-17 yrs,38,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,35.02853012084961 +1972,54,1,internal,15-17 yrs,34,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,31.34131622314453 +1972,54,1,all,18-20 yrs,134,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,137.92251586914062 +1972,54,1,MVA,18-20 yrs,62,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,63.81489562988281 +1972,54,1,suicide,18-20 yrs,6,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,6.175634860992432 +1972,54,1,homicide,18-20 yrs,6,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,6.175634860992432 +1972,54,1,other external,18-20 yrs,22,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,22.64399528503418 +1972,54,1,internal,18-20 yrs,38,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,39.11235427856445 +1972,54,1,all,21-24 yrs,158,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,128.35614013671875 +1972,54,1,MVA,21-24 yrs,68,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,55.241886138916016 +1972,54,1,suicide,21-24 yrs,6,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,4.874284267425537 +1972,54,1,homicide,21-24 yrs,10,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,8.123806953430176 +1972,54,1,other external,21-24 yrs,42,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,34.11998748779297 +1972,54,1,internal,21-24 yrs,32,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,25.99618148803711 +1973,54,1,MVA,15-17 yrs,45,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,41.45784378051758 +1973,54,1,suicide,15-17 yrs,6,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,5.527712345123291 +1973,54,1,homicide,15-17 yrs,4,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,3.6851415634155273 +1973,54,1,other external,15-17 yrs,29,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,26.717275619506836 +1973,54,1,internal,15-17 yrs,22,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,20.268278121948242 +1973,54,1,all,18-20 yrs,127,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,131.28921508789062 +1973,54,1,MVA,18-20 yrs,60,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,62.02640151977539 +1973,54,1,suicide,18-20 yrs,1,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,1.033773422241211 +1973,54,1,homicide,18-20 yrs,10,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,10.33773422241211 +1973,54,1,other external,18-20 yrs,31,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,32.046974182128906 +1973,54,1,internal,18-20 yrs,25,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,25.84433364868164 +1973,54,1,all,21-24 yrs,160,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,127.26187896728516 +1973,54,1,MVA,21-24 yrs,60,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,47.72320556640625 +1973,54,1,suicide,21-24 yrs,19,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,15.112348556518555 +1973,54,1,homicide,21-24 yrs,8,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,6.363093852996826 +1973,54,1,other external,21-24 yrs,29,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,23.06621551513672 +1973,54,1,internal,21-24 yrs,44,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,34.99701690673828 +1974,54,1,MVA,15-17 yrs,27,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,24.916942596435547 +1974,54,1,suicide,15-17 yrs,2,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,1.8456995487213135 +1974,54,1,homicide,15-17 yrs,1,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,0.9228497743606567 +1974,54,1,other external,15-17 yrs,28,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,25.839794158935547 +1974,54,1,internal,15-17 yrs,23,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,21.225543975830078 +1974,54,1,all,18-20 yrs,135,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,137.83245849609375 +1974,54,1,MVA,18-20 yrs,71,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,72.48966217041016 +1974,54,1,suicide,18-20 yrs,10,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,10.209811210632324 +1974,54,1,homicide,18-20 yrs,8,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,8.16784954071045 +1974,54,1,other external,18-20 yrs,20,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,20.41962242126465 +1974,54,1,internal,18-20 yrs,26,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,26.545509338378906 +1974,54,1,all,21-24 yrs,163,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,131.09744262695312 +1974,54,1,MVA,21-24 yrs,59,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,47.45244598388672 +1974,54,1,suicide,21-24 yrs,14,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,11.259902954101562 +1974,54,1,homicide,21-24 yrs,4,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,3.2171151638031006 +1974,54,1,other external,21-24 yrs,45,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,36.192543029785156 +1974,54,1,internal,21-24 yrs,41,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,32.97542953491211 +1975,54,1,MVA,15-17 yrs,42,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,39.066131591796875 +1975,54,1,suicide,15-17 yrs,6,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,5.580876350402832 +1975,54,1,homicide,15-17 yrs,2,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,1.8602920770645142 +1975,54,1,other external,15-17 yrs,24,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,22.323505401611328 +1975,54,1,internal,15-17 yrs,27,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,25.113943099975586 +1975,54,1,all,18-20 yrs,138,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,136.80433654785156 +1975,54,1,MVA,18-20 yrs,58,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,57.49747085571289 +1975,54,1,suicide,18-20 yrs,7,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,6.939350128173828 +1975,54,1,homicide,18-20 yrs,10,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,9.91335678100586 +1975,54,1,other external,18-20 yrs,31,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,30.731407165527344 +1975,54,1,internal,18-20 yrs,32,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,31.72274398803711 +1975,54,1,all,21-24 yrs,160,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,127.21736145019531 +1975,54,1,MVA,21-24 yrs,51,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,40.550533294677734 +1975,54,1,suicide,21-24 yrs,13,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,10.336410522460938 +1975,54,1,homicide,21-24 yrs,10,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,7.951085090637207 +1975,54,1,other external,21-24 yrs,47,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,37.37009811401367 +1975,54,1,internal,21-24 yrs,39,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,31.009231567382812 +1976,54,1,MVA,15-17 yrs,33,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,30.819231033325195 +1976,54,1,suicide,15-17 yrs,4,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,3.7356643676757812 +1976,54,1,homicide,15-17 yrs,2,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,1.8678321838378906 +1976,54,1,other external,15-17 yrs,24,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,22.413986206054688 +1976,54,1,internal,15-17 yrs,22,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,20.546154022216797 +1976,54,1,all,18-20 yrs,158,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,151.6591339111328 +1976,54,1,MVA,18-20 yrs,84,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,80.62890625 +1976,54,1,suicide,18-20 yrs,10,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,9.598679542541504 +1976,54,1,homicide,18-20 yrs,6,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,5.759207725524902 +1976,54,1,other external,18-20 yrs,33,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,31.675642013549805 +1976,54,1,internal,18-20 yrs,25,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,23.9966983795166 +1976,54,1,all,21-24 yrs,175,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,136.5469970703125 +1976,54,1,MVA,21-24 yrs,80,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,62.421485900878906 +1976,54,1,suicide,21-24 yrs,10,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,7.802685737609863 +1976,54,1,homicide,21-24 yrs,11,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,8.582954406738281 +1976,54,1,other external,21-24 yrs,37,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,28.869937896728516 +1976,54,1,internal,21-24 yrs,37,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,28.869937896728516 +1977,54,1,MVA,15-17 yrs,42,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,39.64545822143555 +1977,54,1,suicide,15-17 yrs,6,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,5.663636684417725 +1977,54,1,homicide,15-17 yrs,4,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,3.7757577896118164 +1977,54,1,other external,15-17 yrs,30,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,28.31818389892578 +1977,54,1,internal,15-17 yrs,22,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,20.76666831970215 +1977,54,1,all,18-20 yrs,159,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,149.29437255859375 +1977,54,1,MVA,18-20 yrs,79,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,74.177703857421875 +1977,54,1,suicide,18-20 yrs,10,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,9.389583587646484 +1977,54,1,homicide,18-20 yrs,7,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,6.5727081298828125 +1977,54,1,other external,18-20 yrs,35,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,32.86354064941406 +1977,54,1,internal,18-20 yrs,28,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,26.29083251953125 +1977,54,1,all,21-24 yrs,187,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,143.76211547851562 +1977,54,1,MVA,21-24 yrs,80,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,61.502506256103516 +1977,54,1,suicide,21-24 yrs,17,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,13.069282531738281 +1977,54,1,homicide,21-24 yrs,13,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,9.994156837463379 +1977,54,1,other external,21-24 yrs,48,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,36.90150451660156 +1977,54,1,internal,21-24 yrs,29,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,22.294658660888672 +1978,54,1,MVA,15-17 yrs,49,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,46.64756393432617 +1978,54,1,suicide,15-17 yrs,5,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,4.759955406188965 +1978,54,1,homicide,15-17 yrs,2,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,1.903982162475586 +1978,54,1,other external,15-17 yrs,17,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,16.183849334716797 +1978,54,1,internal,15-17 yrs,12,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,11.423892974853516 +1978,54,1,all,18-20 yrs,152,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,144.0225830078125 +1978,54,1,MVA,18-20 yrs,63,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,59.693572998046875 +1978,54,1,suicide,18-20 yrs,11,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,10.422687530517578 +1978,54,1,homicide,18-20 yrs,7,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,6.632619380950928 +1978,54,1,other external,18-20 yrs,33,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,31.268062591552734 +1978,54,1,internal,18-20 yrs,38,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,36.005645751953125 +1978,54,1,all,21-24 yrs,181,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,136.26644897460938 +1978,54,1,MVA,21-24 yrs,66,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,49.68832015991211 +1978,54,1,suicide,21-24 yrs,19,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,14.30421257019043 +1978,54,1,homicide,21-24 yrs,20,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,15.057065963745117 +1978,54,1,other external,21-24 yrs,43,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,32.3726921081543 +1978,54,1,internal,21-24 yrs,33,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,24.844160079956055 +1979,54,1,MVA,15-17 yrs,41,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,39.22018814086914 +1979,54,1,suicide,15-17 yrs,7,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,6.69612979888916 +1979,54,1,homicide,15-17 yrs,7,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,6.69612979888916 +1979,54,1,other external,15-17 yrs,23,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,22.001569747924805 +1979,54,1,internal,15-17 yrs,13,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,12.4356689453125 +1979,54,1,all,18-20 yrs,137,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,130.57318115234375 +1979,54,1,MVA,18-20 yrs,76,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,72.43476104736328 +1979,54,1,suicide,18-20 yrs,16,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,15.249423027038574 +1979,54,1,homicide,18-20 yrs,4,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,3.8123557567596436 +1979,54,1,other external,18-20 yrs,24,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,22.874135971069336 +1979,54,1,internal,18-20 yrs,17,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,16.202512741088867 +1979,54,1,all,21-24 yrs,206,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,152.05645751953125 +1979,54,1,MVA,21-24 yrs,97,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,71.599395751953125 +1979,54,1,suicide,21-24 yrs,11,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,8.119519233703613 +1979,54,1,homicide,21-24 yrs,17,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,12.548348426818848 +1979,54,1,other external,21-24 yrs,44,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,32.47807693481445 +1979,54,1,internal,21-24 yrs,37,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,27.31110954284668 +1980,54,1,MVA,15-17 yrs,41,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,39.679466247558594 +1980,54,1,suicide,15-17 yrs,4,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,3.8711676597595215 +1980,54,1,homicide,15-17 yrs,5,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,4.838959217071533 +1980,54,1,other external,15-17 yrs,17,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.45246124267578 +1980,54,1,internal,15-17 yrs,17,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.45246124267578 +1980,54,1,all,18-20 yrs,175,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,165.88150024414062 +1980,54,1,MVA,18-20 yrs,78,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,73.93575286865234 +1980,54,1,suicide,18-20 yrs,14,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,13.270519256591797 +1980,54,1,homicide,18-20 yrs,19,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,18.009990692138672 +1980,54,1,other external,18-20 yrs,35,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,33.176300048828125 +1980,54,1,internal,18-20 yrs,29,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,27.488933563232422 +1980,54,1,all,21-24 yrs,191,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,138.95254516601562 +1980,54,1,MVA,21-24 yrs,82,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,59.6550178527832 +1980,54,1,suicide,21-24 yrs,23,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.732505798339844 +1980,54,1,homicide,21-24 yrs,14,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,10.185003280639648 +1980,54,1,other external,21-24 yrs,41,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,29.8275089263916 +1980,54,1,internal,21-24 yrs,31,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,22.552507400512695 +1981,54,1,MVA,15-17 yrs,36,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,35.876583099365234 +1981,54,1,suicide,15-17 yrs,4,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,3.9862871170043945 +1981,54,1,homicide,15-17 yrs,4,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,3.9862871170043945 +1981,54,1,other external,15-17 yrs,14,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,13.952005386352539 +1981,54,1,internal,15-17 yrs,22,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,21.924579620361328 +1981,54,1,all,18-20 yrs,128,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,123.3913345336914 +1981,54,1,MVA,18-20 yrs,72,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,69.407623291015625 +1981,54,1,suicide,18-20 yrs,18,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,17.351905822753906 +1981,54,1,homicide,18-20 yrs,6,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,5.783968925476074 +1981,54,1,other external,18-20 yrs,18,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,17.351905822753906 +1981,54,1,internal,18-20 yrs,14,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,13.495926856994629 +1981,54,1,all,21-24 yrs,184,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,134.2810821533203 +1981,54,1,MVA,21-24 yrs,68,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,49.62561798095703 +1981,54,1,suicide,21-24 yrs,22,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,16.055347442626953 +1981,54,1,homicide,21-24 yrs,16,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,11.676615715026855 +1981,54,1,other external,21-24 yrs,34,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,24.812808990478516 +1981,54,1,internal,21-24 yrs,44,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,32.110694885253906 +1982,54,1,MVA,15-17 yrs,34,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,35.25288772583008 +1982,54,1,suicide,15-17 yrs,6,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,6.221097946166992 +1982,54,1,homicide,15-17 yrs,8,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,8.29479694366455 +1982,54,1,other external,15-17 yrs,22,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,22.810691833496094 +1982,54,1,internal,15-17 yrs,10,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,10.36849594116211 +1982,54,1,all,18-20 yrs,114,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,112.20582580566406 +1982,54,1,MVA,18-20 yrs,44,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,43.30751419067383 +1982,54,1,suicide,18-20 yrs,12,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,11.811140060424805 +1982,54,1,homicide,18-20 yrs,14,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,13.7796630859375 +1982,54,1,other external,18-20 yrs,22,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,21.653757095336914 +1982,54,1,internal,18-20 yrs,22,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,21.653757095336914 +1982,54,1,all,21-24 yrs,192,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,143.0242156982422 +1982,54,1,MVA,21-24 yrs,86,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,64.06292724609375 +1982,54,1,suicide,21-24 yrs,20,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,14.898356437683105 +1982,54,1,homicide,21-24 yrs,10,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,7.449178218841553 +1982,54,1,other external,21-24 yrs,42,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,31.28654670715332 +1982,54,1,internal,21-24 yrs,34,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,25.327205657958984 +1983,54,0.9580891132354736,MVA,15-17 yrs,28,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,29.964149475097656 +1983,54,0.9580891132354736,suicide,15-17 yrs,9,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,9.63133430480957 +1983,54,0.9580891132354736,homicide,15-17 yrs,2,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,2.140296459197998 +1983,54,0.9580891132354736,other external,15-17 yrs,4,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,4.280592918395996 +1983,54,0.9580891132354736,internal,15-17 yrs,12,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,12.841778755187988 +1983,54,0.9580891132354736,all,18-20 yrs,121,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,121.08476257324219 +1983,54,0.9580891132354736,MVA,18-20 yrs,65,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,65.0455322265625 +1983,54,0.9580891132354736,suicide,18-20 yrs,10,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,10.007004737854004 +1983,54,0.9580891132354736,homicide,18-20 yrs,10,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,10.007004737854004 +1983,54,0.9580891132354736,other external,18-20 yrs,16,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,16.011207580566406 +1983,54,0.9580891132354736,internal,18-20 yrs,20,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,20.014009475708008 +1983,54,0.9580891132354736,all,21-24 yrs,136,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,104.6194076538086 +1983,54,0.9580891132354736,MVA,21-24 yrs,60,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,46.15562057495117 +1983,54,0.9580891132354736,suicide,21-24 yrs,23,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,17.6929874420166 +1983,54,0.9580891132354736,homicide,21-24 yrs,12,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,9.231123924255371 +1983,54,0.9580891132354736,other external,21-24 yrs,17,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,13.077425956726074 +1983,54,0.9580891132354736,internal,21-24 yrs,24,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,18.462247848510742 +1984,54,0.7218395471572876,MVA,15-17 yrs,30,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,32.412811279296875 +1984,54,0.7218395471572876,suicide,15-17 yrs,2,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,2.160853862762451 +1984,54,0.7218395471572876,homicide,15-17 yrs,1,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,1.0804269313812256 +1984,54,0.7218395471572876,other external,15-17 yrs,16,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,17.28683090209961 +1984,54,0.7218395471572876,internal,15-17 yrs,12,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.965124130249023 +1984,54,0.7218395471572876,all,18-20 yrs,107,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,110.81307983398438 +1984,54,0.7218395471572876,MVA,18-20 yrs,56,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,57.995628356933594 +1984,54,0.7218395471572876,suicide,18-20 yrs,13,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,13.463271141052246 +1984,54,0.7218395471572876,homicide,18-20 yrs,5,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,5.178181171417236 +1984,54,0.7218395471572876,other external,18-20 yrs,15,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,15.534543991088867 +1984,54,0.7218395471572876,internal,18-20 yrs,18,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,18.64145278930664 +1984,54,0.7218395471572876,all,21-24 yrs,145,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,116.68799591064453 +1984,54,0.7218395471572876,MVA,21-24 yrs,60,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,48.28468704223633 +1984,54,0.7218395471572876,suicide,21-24 yrs,13,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,10.461682319641113 +1984,54,0.7218395471572876,homicide,21-24 yrs,16,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.875916481018066 +1984,54,0.7218395471572876,other external,21-24 yrs,15,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.071171760559082 +1984,54,0.7218395471572876,internal,21-24 yrs,41,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,32.994537353515625 +1985,54,0.6774379014968872,MVA,15-17 yrs,32,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,34.680076599121094 +1985,54,0.6774379014968872,suicide,15-17 yrs,2,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,2.1675047874450684 +1985,54,0.6774379014968872,homicide,15-17 yrs,2,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,2.1675047874450684 +1985,54,0.6774379014968872,other external,15-17 yrs,19,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,20.59129524230957 +1985,54,0.6774379014968872,internal,15-17 yrs,11,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,11.921276092529297 +1985,54,0.6774379014968872,all,18-20 yrs,107,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,115.94768524169922 +1985,54,0.6774379014968872,MVA,18-20 yrs,49,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,53.097537994384766 +1985,54,0.6774379014968872,suicide,18-20 yrs,14,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,15.170724868774414 +1985,54,0.6774379014968872,homicide,18-20 yrs,9,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,9.7526092529296875 +1985,54,0.6774379014968872,other external,18-20 yrs,13,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,14.087101936340332 +1985,54,0.6774379014968872,internal,18-20 yrs,22,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,23.839710235595703 +1985,54,0.6774379014968872,all,21-24 yrs,131,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,109.50521850585938 +1985,54,0.6774379014968872,MVA,21-24 yrs,54,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,45.139556884765625 +1985,54,0.6774379014968872,suicide,21-24 yrs,21,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,17.554271697998047 +1985,54,0.6774379014968872,homicide,21-24 yrs,8,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,6.687341690063477 +1985,54,0.6774379014968872,other external,21-24 yrs,18,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,15.04651927947998 +1985,54,0.6774379014968872,internal,21-24 yrs,30,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,25.077531814575195 +1986,54,0.6252062320709229,MVA,15-17 yrs,44,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,47.135955810546875 +1986,54,0.6252062320709229,suicide,15-17 yrs,7,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,7.498901844024658 +1986,54,0.6252062320709229,homicide,15-17 yrs,2,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,2.142543315887451 +1986,54,0.6252062320709229,other external,15-17 yrs,19,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,20.354162216186523 +1986,54,0.6252062320709229,internal,15-17 yrs,11,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,11.783988952636719 +1986,54,0.6252062320709229,all,18-20 yrs,118,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,133.51588439941406 +1986,54,0.6252062320709229,MVA,18-20 yrs,59,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,66.75794219970703 +1986,54,0.6252062320709229,suicide,18-20 yrs,14,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,15.840867042541504 +1986,54,0.6252062320709229,homicide,18-20 yrs,6,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,6.788943290710449 +1986,54,0.6252062320709229,other external,18-20 yrs,16,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,18.10384750366211 +1986,54,0.6252062320709229,internal,18-20 yrs,23,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,26.024282455444336 +1986,54,0.6252062320709229,all,21-24 yrs,129,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,113.3328628540039 +1986,54,0.6252062320709229,MVA,21-24 yrs,59,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,51.83441162109375 +1986,54,0.6252062320709229,suicide,21-24 yrs,17,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,14.935338973999023 +1986,54,0.6252062320709229,homicide,21-24 yrs,19,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,16.69243812561035 +1986,54,0.6252062320709229,other external,21-24 yrs,15,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,13.178239822387695 +1986,54,0.6252062320709229,internal,21-24 yrs,19,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,16.69243812561035 +1987,54,0.3217933177947998,MVA,15-17 yrs,47,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,50.976139068603516 +1987,54,0.3217933177947998,suicide,15-17 yrs,4,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,4.338394641876221 +1987,54,0.3217933177947998,homicide,15-17 yrs,3,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,3.253796100616455 +1987,54,0.3217933177947998,other external,15-17 yrs,17,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,18.43817710876465 +1987,54,0.3217933177947998,internal,15-17 yrs,8,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,8.676789283752441 +1987,54,0.3217933177947998,all,18-20 yrs,96,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,110.1334228515625 +1987,54,0.3217933177947998,MVA,18-20 yrs,59,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,67.68616485595703 +1987,54,0.3217933177947998,suicide,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,homicide,18-20 yrs,4,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,4.588892459869385 +1987,54,0.3217933177947998,other external,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,internal,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,all,21-24 yrs,140,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,130.28831481933594 +1987,54,0.3217933177947998,MVA,21-24 yrs,60,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,55.83784866333008 +1987,54,0.3217933177947998,suicide,21-24 yrs,12,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,11.167569160461426 +1987,54,0.3217933177947998,homicide,21-24 yrs,13,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.098199844360352 +1987,54,0.3217933177947998,other external,21-24 yrs,21,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,19.54324722290039 +1987,54,0.3217933177947998,internal,21-24 yrs,34,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,31.641447067260742 +1988,54,0.03902164474129677,MVA,15-17 yrs,44,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,49.221405029296875 +1988,54,0.03902164474129677,suicide,15-17 yrs,9,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,10.068015098571777 +1988,54,0.03902164474129677,homicide,15-17 yrs,5,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.593341827392578 +1988,54,0.03902164474129677,other external,15-17 yrs,5,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.593341827392578 +1988,54,0.03902164474129677,internal,15-17 yrs,13,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,14.542688369750977 +1988,54,0.03902164474129677,all,18-20 yrs,93,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,107.26519775390625 +1988,54,0.03902164474129677,MVA,18-20 yrs,57,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,65.7431869506836 +1988,54,0.03902164474129677,suicide,18-20 yrs,5,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.766946315765381 +1988,54,0.03902164474129677,homicide,18-20 yrs,5,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.766946315765381 +1988,54,0.03902164474129677,other external,18-20 yrs,10,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,11.533892631530762 +1988,54,0.03902164474129677,internal,18-20 yrs,16,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,18.454227447509766 +1988,54,0.03902164474129677,all,21-24 yrs,124,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,122.11575317382812 +1988,54,0.03902164474129677,MVA,21-24 yrs,54,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,53.179439544677734 +1988,54,0.03902164474129677,suicide,21-24 yrs,16,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,15.756871223449707 +1988,54,0.03902164474129677,homicide,21-24 yrs,15,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,14.772067070007324 +1988,54,0.03902164474129677,other external,21-24 yrs,18,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,17.72648048400879 +1988,54,0.03902164474129677,internal,21-24 yrs,21,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,20.680892944335938 +1989,54,0,MVA,15-17 yrs,39,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,46.286956787109375 +1989,54,0,suicide,15-17 yrs,7,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,8.307914733886719 +1989,54,0,homicide,15-17 yrs,4,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,4.747380256652832 +1989,54,0,other external,15-17 yrs,12,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.24213981628418 +1989,54,0,internal,15-17 yrs,12,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.24213981628418 +1989,54,0,all,18-20 yrs,112,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,127.78240203857422 +1989,54,0,MVA,18-20 yrs,62,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,70.73668670654297 +1989,54,0,suicide,18-20 yrs,12,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,13.690972328186035 +1989,54,0,homicide,18-20 yrs,8,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,9.127314567565918 +1989,54,0,other external,18-20 yrs,13,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.831886291503906 +1989,54,0,internal,18-20 yrs,17,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,19.395544052124023 +1989,54,0,all,21-24 yrs,110,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,114.78779602050781 +1989,54,0,MVA,21-24 yrs,51,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,53.21979904174805 +1989,54,0,suicide,21-24 yrs,13,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,13.565831184387207 +1989,54,0,homicide,21-24 yrs,11,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,11.478779792785645 +1989,54,0,other external,21-24 yrs,17,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,17.739933013916016 +1989,54,0,internal,21-24 yrs,18,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,18.783458709716797 +1990,54,0,MVA,15-17 yrs,31,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,38.17498779296875 +1990,54,0,suicide,15-17 yrs,8,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,9.85161018371582 +1990,54,0,homicide,15-17 yrs,3,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,3.6943538188934326 +1990,54,0,other external,15-17 yrs,3,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,3.6943538188934326 +1990,54,0,internal,15-17 yrs,13,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,16.008867263793945 +1990,54,0,all,18-20 yrs,101,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,114.24047088623047 +1990,54,0,MVA,18-20 yrs,53,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,59.94797134399414 +1990,54,0,suicide,18-20 yrs,15,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,16.966405868530273 +1990,54,0,homicide,18-20 yrs,8,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,9.048749923706055 +1990,54,0,other external,18-20 yrs,5,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,5.655468940734863 +1990,54,0,internal,18-20 yrs,20,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,22.621875762939453 +1990,54,0,all,21-24 yrs,112,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,119.38134765625 +1990,54,0,MVA,21-24 yrs,46,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,49.03162384033203 +1990,54,0,suicide,21-24 yrs,15,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,15.98857307434082 +1990,54,0,homicide,21-24 yrs,10,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,10.659049034118652 +1990,54,0,other external,21-24 yrs,18,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,19.186288833618164 +1990,54,0,internal,21-24 yrs,23,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,24.515811920166016 +1991,54,0,MVA,15-17 yrs,30,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,37.086029052734375 +1991,54,0,suicide,15-17 yrs,9,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,11.125807762145996 +1991,54,0,homicide,15-17 yrs,2,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,2.4724018573760986 +1991,54,0,other external,15-17 yrs,13,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,16.07061195373535 +1991,54,0,internal,15-17 yrs,14,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.306812286376953 +1991,54,0,all,18-20 yrs,108,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,122.89485931396484 +1991,54,0,MVA,18-20 yrs,48,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,54.619937896728516 +1991,54,0,suicide,18-20 yrs,14,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.930814743041992 +1991,54,0,homicide,18-20 yrs,11,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,12.517068862915039 +1991,54,0,other external,18-20 yrs,15,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.068729400634766 +1991,54,0,internal,18-20 yrs,20,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,22.7583065032959 +1991,54,0,all,21-24 yrs,125,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,127.93090057373047 +1991,54,0,MVA,21-24 yrs,54,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,55.26614761352539 +1991,54,0,suicide,21-24 yrs,15,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.351707458496094 +1991,54,0,homicide,21-24 yrs,15,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.351707458496094 +1991,54,0,other external,21-24 yrs,17,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.398601531982422 +1991,54,0,internal,21-24 yrs,24,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,24.562732696533203 +1992,54,0,MVA,15-17 yrs,20,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,24.258596420288086 +1992,54,0,suicide,15-17 yrs,4,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,4.851719379425049 +1992,54,0,homicide,15-17 yrs,3,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,3.638789415359497 +1992,54,0,other external,15-17 yrs,14,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.98101806640625 +1992,54,0,internal,15-17 yrs,15,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,18.193946838378906 +1992,54,0,all,18-20 yrs,93,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,109.59614562988281 +1992,54,0,MVA,18-20 yrs,47,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,55.387298583984375 +1992,54,0,suicide,18-20 yrs,14,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.49834442138672 +1992,54,0,homicide,18-20 yrs,8,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,9.42762565612793 +1992,54,0,other external,18-20 yrs,13,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,15.319890975952148 +1992,54,0,internal,18-20 yrs,11,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,12.962985038757324 +1992,54,0,all,21-24 yrs,116,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,112.2269287109375 +1992,54,0,MVA,21-24 yrs,46,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,44.5037841796875 +1992,54,0,suicide,21-24 yrs,23,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,22.25189208984375 +1992,54,0,homicide,21-24 yrs,11,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,10.64220905303955 +1992,54,0,other external,21-24 yrs,19,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,18.38199806213379 +1992,54,0,internal,21-24 yrs,17,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.447050094604492 +1993,54,0,MVA,15-17 yrs,20,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,23.986568450927734 +1993,54,0,suicide,15-17 yrs,10,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,11.993284225463867 +1993,54,0,homicide,15-17 yrs,7,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,8.395298957824707 +1993,54,0,other external,15-17 yrs,6,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,7.195970058441162 +1993,54,0,internal,15-17 yrs,9,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,10.79395580291748 +1993,54,0,all,18-20 yrs,91,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,108.86599731445312 +1993,54,0,MVA,18-20 yrs,53,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,63.40547180175781 +1993,54,0,suicide,18-20 yrs,14,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,16.748615264892578 +1993,54,0,homicide,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,other external,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,internal,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,all,21-24 yrs,116,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,107.94010925292969 +1993,54,0,MVA,21-24 yrs,42,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,39.081764221191406 +1993,54,0,suicide,21-24 yrs,25,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,23.262954711914062 +1993,54,0,homicide,21-24 yrs,13,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,12.096736907958984 +1993,54,0,other external,21-24 yrs,14,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,13.027255058288574 +1993,54,0,internal,21-24 yrs,22,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,20.47140121459961 +1994,54,0,MVA,15-17 yrs,25,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,29.605770111083984 +1994,54,0,suicide,15-17 yrs,7,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,8.289615631103516 +1994,54,0,homicide,15-17 yrs,5,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,5.921154022216797 +1994,54,0,other external,15-17 yrs,6,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,7.105384826660156 +1994,54,0,internal,15-17 yrs,14,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,16.57923126220703 +1994,54,0,all,18-20 yrs,84,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,101.16703033447266 +1994,54,0,MVA,18-20 yrs,29,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,34.92671585083008 +1994,54,0,suicide,18-20 yrs,11,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,13.248064041137695 +1994,54,0,homicide,18-20 yrs,13,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,15.656803131103516 +1994,54,0,other external,18-20 yrs,14,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,16.86117172241211 +1994,54,0,internal,18-20 yrs,17,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,20.474281311035156 +1994,54,0,all,21-24 yrs,97,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,89.77906799316406 +1994,54,0,MVA,21-24 yrs,39,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,36.09674072265625 +1994,54,0,suicide,21-24 yrs,16,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,14.808918952941895 +1994,54,0,homicide,21-24 yrs,7,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,6.4789018630981445 +1994,54,0,other external,21-24 yrs,15,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,13.883360862731934 +1994,54,0,internal,21-24 yrs,20,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,18.51114845275879 +1995,54,0,MVA,15-17 yrs,16,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,18.8204288482666 +1995,54,0,suicide,15-17 yrs,5,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,5.881384372711182 +1995,54,0,homicide,15-17 yrs,5,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,5.881384372711182 +1995,54,0,other external,15-17 yrs,12,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,14.11532211303711 +1995,54,0,internal,15-17 yrs,8,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,9.4102144241333 +1995,54,0,all,18-20 yrs,87,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,103.9103775024414 +1995,54,0,MVA,18-20 yrs,36,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,42.99739456176758 +1995,54,0,suicide,18-20 yrs,13,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,15.526837348937988 +1995,54,0,homicide,18-20 yrs,10,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,11.943720817565918 +1995,54,0,other external,18-20 yrs,7,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,8.360605239868164 +1995,54,0,internal,18-20 yrs,21,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,25.08181381225586 +1995,54,0,all,21-24 yrs,111,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,105.01419067382812 +1995,54,0,MVA,21-24 yrs,52,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,49.195838928222656 +1995,54,0,suicide,21-24 yrs,18,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,17.029327392578125 +1995,54,0,homicide,21-24 yrs,7,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,6.622516632080078 +1995,54,0,other external,21-24 yrs,13,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,12.298959732055664 +1995,54,0,internal,21-24 yrs,21,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,19.867549896240234 +1996,54,0,MVA,15-17 yrs,19,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,22.689817428588867 +1996,54,0,suicide,15-17 yrs,9,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,10.747808456420898 +1996,54,0,homicide,15-17 yrs,1,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,1.1942009925842285 +1996,54,0,other external,15-17 yrs,12,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,14.330411911010742 +1996,54,0,internal,15-17 yrs,18,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,21.495616912841797 +1996,54,0,all,18-20 yrs,90,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,107.41779327392578 +1996,54,0,MVA,18-20 yrs,40,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,47.741241455078125 +1996,54,0,suicide,18-20 yrs,12,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,14.322372436523438 +1996,54,0,homicide,18-20 yrs,7,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,8.354717254638672 +1996,54,0,other external,18-20 yrs,8,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,9.548248291015625 +1996,54,0,internal,18-20 yrs,23,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,27.451213836669922 +1996,54,0,all,21-24 yrs,92,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,89.72895812988281 +1996,54,0,MVA,21-24 yrs,35,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,34.136016845703125 +1996,54,0,suicide,21-24 yrs,21,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,20.481611251831055 +1996,54,0,homicide,21-24 yrs,9,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,8.777832984924316 +1996,54,0,other external,21-24 yrs,13,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,12.679092407226562 +1996,54,0,internal,21-24 yrs,14,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,13.654406547546387 +1970,55,1,MVA,15-17 yrs,95,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,35.67967987060547 +1970,55,1,suicide,15-17 yrs,12,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,4.506906986236572 +1970,55,1,homicide,15-17 yrs,4,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,1.5023022890090942 +1970,55,1,other external,15-17 yrs,46,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,17.27647590637207 +1970,55,1,internal,15-17 yrs,46,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,17.27647590637207 +1970,55,1,all,18-20 yrs,318,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,131.8468017578125 +1970,55,1,MVA,18-20 yrs,167,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,69.24030303955078 +1970,55,1,suicide,18-20 yrs,18,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,7.463027000427246 +1970,55,1,homicide,18-20 yrs,12,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,4.975351333618164 +1970,55,1,other external,18-20 yrs,60,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,24.87675666809082 +1970,55,1,internal,18-20 yrs,61,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,25.29136848449707 +1970,55,1,all,21-24 yrs,309,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,117.38337707519531 +1970,55,1,MVA,21-24 yrs,143,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,54.32305145263672 +1970,55,1,suicide,21-24 yrs,26,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,9.87691879272461 +1970,55,1,homicide,21-24 yrs,9,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,3.418933391571045 +1970,55,1,other external,21-24 yrs,55,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,20.89348030090332 +1970,55,1,internal,21-24 yrs,76,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,28.87099266052246 +1971,55,1,MVA,15-17 yrs,105,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,38.85478210449219 +1971,55,1,suicide,15-17 yrs,9,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,3.3304100036621094 +1971,55,1,homicide,15-17 yrs,8,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,2.96036434173584 +1971,55,1,other external,15-17 yrs,34,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,12.581548690795898 +1971,55,1,internal,15-17 yrs,54,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,19.982460021972656 +1971,55,1,all,18-20 yrs,300,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,119.47716522216797 +1971,55,1,MVA,18-20 yrs,156,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,62.12812805175781 +1971,55,1,suicide,18-20 yrs,20,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,7.965144634246826 +1971,55,1,homicide,18-20 yrs,8,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,3.1860578060150146 +1971,55,1,other external,18-20 yrs,44,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,17.523317337036133 +1971,55,1,internal,18-20 yrs,72,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,28.67452049255371 +1971,55,1,all,21-24 yrs,329,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,112.7052001953125 +1971,55,1,MVA,21-24 yrs,147,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,50.357643127441406 +1971,55,1,suicide,21-24 yrs,39,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,13.360190391540527 +1971,55,1,homicide,21-24 yrs,16,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,5.481103897094727 +1971,55,1,other external,21-24 yrs,49,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,16.78588104248047 +1971,55,1,internal,21-24 yrs,78,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,26.720380783081055 +1972,55,1,MVA,15-17 yrs,122,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,44.198734283447266 +1972,55,1,suicide,15-17 yrs,12,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,4.347416400909424 +1972,55,1,homicide,15-17 yrs,8,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,2.898277759552002 +1972,55,1,other external,15-17 yrs,42,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,15.215957641601562 +1972,55,1,internal,15-17 yrs,62,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,22.461652755737305 +1972,55,1,all,18-20 yrs,346,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,134.27142333984375 +1972,55,1,MVA,18-20 yrs,182,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,70.6283187866211 +1972,55,1,suicide,18-20 yrs,18,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,6.985218524932861 +1972,55,1,homicide,18-20 yrs,20,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,7.761353969573975 +1972,55,1,other external,18-20 yrs,50,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,19.403385162353516 +1972,55,1,internal,18-20 yrs,76,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,29.493144989013672 +1972,55,1,all,21-24 yrs,368,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,123.17868041992188 +1972,55,1,MVA,21-24 yrs,128,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,42.844757080078125 +1972,55,1,suicide,21-24 yrs,44,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,14.727885246276855 +1972,55,1,homicide,21-24 yrs,22,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,7.363942623138428 +1972,55,1,other external,21-24 yrs,78,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,26.108524322509766 +1972,55,1,internal,21-24 yrs,96,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,32.133567810058594 +1973,55,1,MVA,15-17 yrs,109,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,38.86042785644531 +1973,55,1,suicide,15-17 yrs,6,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,2.139106035232544 +1973,55,1,homicide,15-17 yrs,7,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,2.495623826980591 +1973,55,1,other external,15-17 yrs,56,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,19.964990615844727 +1973,55,1,internal,15-17 yrs,59,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,21.034542083740234 +1973,55,1,all,18-20 yrs,380,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,145.9153289794922 +1973,55,1,MVA,18-20 yrs,199,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,76.4135513305664 +1973,55,1,suicide,18-20 yrs,32,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,12.287607192993164 +1973,55,1,homicide,18-20 yrs,11,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,4.223865032196045 +1973,55,1,other external,18-20 yrs,56,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,21.503311157226562 +1973,55,1,internal,18-20 yrs,82,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,31.48699188232422 +1973,55,1,all,21-24 yrs,356,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,115.7317123413086 +1973,55,1,MVA,21-24 yrs,136,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,44.21211242675781 +1973,55,1,suicide,21-24 yrs,52,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,16.904632568359375 +1973,55,1,homicide,21-24 yrs,23,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,7.477048873901367 +1973,55,1,other external,21-24 yrs,63,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,20.48061180114746 +1973,55,1,internal,21-24 yrs,82,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,26.657304763793945 +1974,55,1,MVA,15-17 yrs,99,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,34.71199417114258 +1974,55,1,suicide,15-17 yrs,12,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.207514762878418 +1974,55,1,homicide,15-17 yrs,13,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.558140754699707 +1974,55,1,other external,15-17 yrs,47,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,16.479433059692383 +1974,55,1,internal,15-17 yrs,65,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,22.79070472717285 +1974,55,1,all,18-20 yrs,364,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,137.3631591796875 +1974,55,1,MVA,18-20 yrs,174,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,65.66260528564453 +1974,55,1,suicide,18-20 yrs,43,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,16.226966857910156 +1974,55,1,homicide,18-20 yrs,13,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.905827045440674 +1974,55,1,other external,18-20 yrs,58,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,21.887535095214844 +1974,55,1,internal,18-20 yrs,76,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,28.680219650268555 +1974,55,1,all,21-24 yrs,359,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,114.2740707397461 +1974,55,1,MVA,21-24 yrs,135,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,42.972145080566406 +1974,55,1,suicide,21-24 yrs,43,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,13.687423706054688 +1974,55,1,homicide,21-24 yrs,23,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,7.32118034362793 +1974,55,1,other external,21-24 yrs,60,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,19.098730087280273 +1974,55,1,internal,21-24 yrs,98,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,31.19459342956543 +1975,55,1,MVA,15-17 yrs,100,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,34.790836334228516 +1975,55,1,suicide,15-17 yrs,22,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,7.653984069824219 +1975,55,1,homicide,15-17 yrs,5,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,1.7395418882369995 +1975,55,1,other external,15-17 yrs,63,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,21.918228149414062 +1975,55,1,internal,15-17 yrs,60,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,20.874502182006836 +1975,55,1,all,18-20 yrs,308,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,113.52034759521484 +1975,55,1,MVA,18-20 yrs,161,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,59.34018325805664 +1975,55,1,suicide,18-20 yrs,30,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,11.05717658996582 +1975,55,1,homicide,18-20 yrs,14,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,5.16001558303833 +1975,55,1,other external,18-20 yrs,42,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,15.480047225952148 +1975,55,1,internal,18-20 yrs,61,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,22.482925415039062 +1975,55,1,all,21-24 yrs,358,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,110.61878204345703 +1975,55,1,MVA,21-24 yrs,123,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,38.00589370727539 +1975,55,1,suicide,21-24 yrs,61,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,18.848451614379883 +1975,55,1,homicide,21-24 yrs,27,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,8.342757225036621 +1975,55,1,other external,21-24 yrs,58,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,17.921478271484375 +1975,55,1,internal,21-24 yrs,89,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,27.500200271606445 +1976,55,1,MVA,15-17 yrs,91,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,31.36989974975586 +1976,55,1,suicide,15-17 yrs,23,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,7.928656101226807 +1976,55,1,homicide,15-17 yrs,12,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,4.136690139770508 +1976,55,1,other external,15-17 yrs,38,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,13.099518775939941 +1976,55,1,internal,15-17 yrs,43,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,14.823139190673828 +1976,55,1,all,18-20 yrs,349,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,126.60523986816406 +1976,55,1,MVA,18-20 yrs,182,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,66.02336120605469 +1976,55,1,suicide,18-20 yrs,31,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,11.245737075805664 +1976,55,1,homicide,18-20 yrs,13,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,4.715954303741455 +1976,55,1,other external,18-20 yrs,70,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,25.393600463867188 +1976,55,1,internal,18-20 yrs,53,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,19.22658348083496 +1976,55,1,all,21-24 yrs,361,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,109.70777130126953 +1976,55,1,MVA,21-24 yrs,122,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,37.07575607299805 +1976,55,1,suicide,21-24 yrs,62,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,18.841777801513672 +1976,55,1,homicide,21-24 yrs,18,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,5.470193386077881 +1976,55,1,other external,21-24 yrs,76,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,23.096372604370117 +1976,55,1,internal,21-24 yrs,83,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,25.223670959472656 +1977,55,1,MVA,15-17 yrs,96,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,33.105960845947266 +1977,55,1,suicide,15-17 yrs,23,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,7.931636333465576 +1977,55,1,homicide,15-17 yrs,7,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,2.4139761924743652 +1977,55,1,other external,15-17 yrs,34,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,11.725027084350586 +1977,55,1,internal,15-17 yrs,41,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,14.13900375366211 +1977,55,1,all,18-20 yrs,353,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,125.60713195800781 +1977,55,1,MVA,18-20 yrs,181,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,64.40479278564453 +1977,55,1,suicide,18-20 yrs,45,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,16.01224136352539 +1977,55,1,homicide,18-20 yrs,11,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,3.9141032695770264 +1977,55,1,other external,18-20 yrs,62,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,22.061309814453125 +1977,55,1,internal,18-20 yrs,54,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,19.214689254760742 +1977,55,1,all,21-24 yrs,313,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,93.8848876953125 +1977,55,1,MVA,21-24 yrs,112,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,33.5945930480957 +1977,55,1,suicide,21-24 yrs,67,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,20.096763610839844 +1977,55,1,homicide,21-24 yrs,17,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,5.099179267883301 +1977,55,1,other external,21-24 yrs,51,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,15.297536849975586 +1977,55,1,internal,21-24 yrs,66,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,19.796812057495117 +1978,55,1,MVA,15-17 yrs,111,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,38.70481872558594 +1978,55,1,suicide,15-17 yrs,20,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,6.973841190338135 +1978,55,1,homicide,15-17 yrs,7,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,2.4408442974090576 +1978,55,1,other external,15-17 yrs,39,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,13.598990440368652 +1978,55,1,internal,15-17 yrs,42,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,14.645066261291504 +1978,55,1,all,18-20 yrs,340,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,120.39063262939453 +1978,55,1,MVA,18-20 yrs,153,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,54.175785064697266 +1978,55,1,suicide,18-20 yrs,53,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,18.766775131225586 +1978,55,1,homicide,18-20 yrs,10,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,3.540900945663452 +1978,55,1,other external,18-20 yrs,70,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,24.786306381225586 +1978,55,1,internal,18-20 yrs,54,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,19.120864868164062 +1978,55,1,all,21-24 yrs,378,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,111.05332946777344 +1978,55,1,MVA,21-24 yrs,152,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,44.65636444091797 +1978,55,1,suicide,21-24 yrs,62,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,18.215097427368164 +1978,55,1,homicide,21-24 yrs,19,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,5.582045555114746 +1978,55,1,other external,21-24 yrs,57,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,16.746137619018555 +1978,55,1,internal,21-24 yrs,88,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,25.85368537902832 +1979,55,1,MVA,15-17 yrs,88,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,31.439350128173828 +1979,55,1,suicide,15-17 yrs,23,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,8.217103004455566 +1979,55,1,homicide,15-17 yrs,5,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,1.7863267660140991 +1979,55,1,other external,15-17 yrs,43,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,15.362409591674805 +1979,55,1,internal,15-17 yrs,37,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,13.218817710876465 +1979,55,1,all,18-20 yrs,366,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,127.54568481445312 +1979,55,1,MVA,18-20 yrs,192,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,66.909210205078125 +1979,55,1,suicide,18-20 yrs,55,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,19.166702270507812 +1979,55,1,homicide,18-20 yrs,21,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,7.318195343017578 +1979,55,1,other external,18-20 yrs,54,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,18.81821632385254 +1979,55,1,internal,18-20 yrs,44,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,15.333361625671387 +1979,55,1,all,21-24 yrs,385,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,110.54228973388672 +1979,55,1,MVA,21-24 yrs,165,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,47.375267028808594 +1979,55,1,suicide,21-24 yrs,64,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,18.3758602142334 +1979,55,1,homicide,21-24 yrs,12,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,3.4454739093780518 +1979,55,1,other external,21-24 yrs,62,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,17.80161476135254 +1979,55,1,internal,21-24 yrs,82,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,23.544071197509766 +1980,55,1,MVA,15-17 yrs,94,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,34.60105895996094 +1980,55,1,suicide,15-17 yrs,18,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,6.625734329223633 +1980,55,1,homicide,15-17 yrs,5,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,1.8404817581176758 +1980,55,1,other external,15-17 yrs,34,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,12.515275955200195 +1980,55,1,internal,15-17 yrs,30,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,11.042890548706055 +1980,55,1,all,18-20 yrs,372,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,129.5255584716797 +1980,55,1,MVA,18-20 yrs,201,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,69.98558807373047 +1980,55,1,suicide,18-20 yrs,51,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.757535934448242 +1980,55,1,homicide,18-20 yrs,26,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,9.052862167358398 +1980,55,1,other external,18-20 yrs,48,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,16.712976455688477 +1980,55,1,internal,18-20 yrs,46,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,16.0166015625 +1980,55,1,all,21-24 yrs,348,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,97.48991394042969 +1980,55,1,MVA,21-24 yrs,141,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,39.50022506713867 +1980,55,1,suicide,21-24 yrs,61,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.088748931884766 +1980,55,1,homicide,21-24 yrs,21,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,5.883012294769287 +1980,55,1,other external,21-24 yrs,62,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.368892669677734 +1980,55,1,internal,21-24 yrs,63,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.649036407470703 +1981,55,1,MVA,15-17 yrs,83,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,31.958969116210938 +1981,55,1,suicide,15-17 yrs,14,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,5.390669345855713 +1981,55,1,homicide,15-17 yrs,6,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,2.3102869987487793 +1981,55,1,other external,15-17 yrs,23,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,8.856100082397461 +1981,55,1,internal,15-17 yrs,34,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,13.091626167297363 +1981,55,1,all,18-20 yrs,294,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,103.81246185302734 +1981,55,1,MVA,18-20 yrs,153,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,54.02485275268555 +1981,55,1,suicide,18-20 yrs,46,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,16.242765426635742 +1981,55,1,homicide,18-20 yrs,10,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,3.531036138534546 +1981,55,1,other external,18-20 yrs,35,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,12.358626365661621 +1981,55,1,internal,18-20 yrs,50,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,17.655179977416992 +1981,55,1,all,21-24 yrs,385,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,106.22008514404297 +1981,55,1,MVA,21-24 yrs,156,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,43.039825439453125 +1981,55,1,suicide,21-24 yrs,64,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,17.657363891601562 +1981,55,1,homicide,21-24 yrs,23,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,6.345615386962891 +1981,55,1,other external,21-24 yrs,59,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,16.277883529663086 +1981,55,1,internal,21-24 yrs,83,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,22.899394989013672 +1982,55,1,MVA,15-17 yrs,71,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,28.75553321838379 +1982,55,1,suicide,15-17 yrs,24,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,9.72018051147461 +1982,55,1,homicide,15-17 yrs,4,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,1.6200300455093384 +1982,55,1,other external,15-17 yrs,15,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,6.075112819671631 +1982,55,1,internal,15-17 yrs,33,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,13.36524772644043 +1982,55,1,all,18-20 yrs,280,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,102.12083435058594 +1982,55,1,MVA,18-20 yrs,132,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,48.142677307128906 +1982,55,1,suicide,18-20 yrs,51,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,18.6005802154541 +1982,55,1,homicide,18-20 yrs,13,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,4.741324424743652 +1982,55,1,other external,18-20 yrs,37,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,13.494538307189941 +1982,55,1,internal,18-20 yrs,47,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,17.14171028137207 +1982,55,1,all,21-24 yrs,332,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,90.915313720703125 +1982,55,1,MVA,21-24 yrs,135,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,36.96857833862305 +1982,55,1,suicide,21-24 yrs,58,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,15.882796287536621 +1982,55,1,homicide,21-24 yrs,20,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,5.476826190948486 +1982,55,1,other external,21-24 yrs,54,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,14.787430763244629 +1982,55,1,internal,21-24 yrs,65,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,17.799684524536133 +1983,55,1,MVA,15-17 yrs,47,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,20.098955154418945 +1983,55,1,suicide,15-17 yrs,21,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,8.98038387298584 +1983,55,1,homicide,15-17 yrs,4,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,1.7105493545532227 +1983,55,1,other external,15-17 yrs,29,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,12.401482582092285 +1983,55,1,internal,15-17 yrs,33,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,14.112032890319824 +1983,55,1,all,18-20 yrs,270,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,102.0836410522461 +1983,55,1,MVA,18-20 yrs,122,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,46.12668228149414 +1983,55,1,suicide,18-20 yrs,49,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,18.526290893554688 +1983,55,1,homicide,18-20 yrs,15,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,5.671313285827637 +1983,55,1,other external,18-20 yrs,45,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,17.013940811157227 +1983,55,1,internal,18-20 yrs,39,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,14.745414733886719 +1983,55,1,all,21-24 yrs,304,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,83.84356689453125 +1983,55,1,MVA,21-24 yrs,119,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,32.820343017578125 +1983,55,1,suicide,21-24 yrs,62,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,17.099674224853516 +1983,55,1,homicide,21-24 yrs,19,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,5.240222930908203 +1983,55,1,other external,21-24 yrs,43,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,11.859451293945312 +1983,55,1,internal,21-24 yrs,61,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,16.82387351989746 +1984,55,0.9601802229881287,MVA,15-17 yrs,61,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,26.788576126098633 +1984,55,0.9601802229881287,suicide,15-17 yrs,17,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,7.465668678283691 +1984,55,0.9601802229881287,homicide,15-17 yrs,5,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,2.1957850456237793 +1984,55,0.9601802229881287,other external,15-17 yrs,14,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,6.148198127746582 +1984,55,0.9601802229881287,internal,15-17 yrs,36,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,15.809651374816895 +1984,55,0.9601802229881287,all,18-20 yrs,240,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,94.4376220703125 +1984,55,0.9601802229881287,MVA,18-20 yrs,127,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,49.973243713378906 +1984,55,0.9601802229881287,suicide,18-20 yrs,43,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,16.920074462890625 +1984,55,0.9601802229881287,homicide,18-20 yrs,11,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,4.328391075134277 +1984,55,0.9601802229881287,other external,18-20 yrs,20,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,7.869801998138428 +1984,55,0.9601802229881287,internal,18-20 yrs,39,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,15.346114158630371 +1984,55,0.9601802229881287,all,21-24 yrs,333,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,93.237091064453125 +1984,55,0.9601802229881287,MVA,21-24 yrs,125,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,34.99890899658203 +1984,55,0.9601802229881287,suicide,21-24 yrs,78,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,21.839319229125977 +1984,55,0.9601802229881287,homicide,21-24 yrs,15,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,4.199869155883789 +1984,55,0.9601802229881287,other external,21-24 yrs,51,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,14.27955436706543 +1984,55,0.9601802229881287,internal,21-24 yrs,64,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,17.91944122314453 +1985,55,0.7235763072967529,MVA,15-17 yrs,49,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,21.757471084594727 +1985,55,0.7235763072967529,suicide,15-17 yrs,33,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,14.652990341186523 +1985,55,0.7235763072967529,homicide,15-17 yrs,1,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,0.4440300166606903 +1985,55,0.7235763072967529,other external,15-17 yrs,22,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,9.768660545349121 +1985,55,0.7235763072967529,internal,15-17 yrs,27,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,11.988810539245605 +1985,55,0.7235763072967529,all,18-20 yrs,216,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,89.03067779541016 +1985,55,0.7235763072967529,MVA,18-20 yrs,103,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,42.454444885253906 +1985,55,0.7235763072967529,suicide,18-20 yrs,39,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,16.074983596801758 +1985,55,0.7235763072967529,homicide,18-20 yrs,14,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,5.770506858825684 +1985,55,0.7235763072967529,other external,18-20 yrs,27,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,11.12883472442627 +1985,55,0.7235763072967529,internal,18-20 yrs,33,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,13.601909637451172 +1985,55,0.7235763072967529,all,21-24 yrs,321,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,91.88677215576172 +1985,55,0.7235763072967529,MVA,21-24 yrs,115,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,32.91893768310547 +1985,55,0.7235763072967529,suicide,21-24 yrs,66,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,18.892606735229492 +1985,55,0.7235763072967529,homicide,21-24 yrs,16,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,4.580026149749756 +1985,55,0.7235763072967529,other external,21-24 yrs,44,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,12.595071792602539 +1985,55,0.7235763072967529,internal,21-24 yrs,80,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,22.900129318237305 +1986,55,0.6408324241638184,MVA,15-17 yrs,52,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,22.952686309814453 +1986,55,0.6408324241638184,suicide,15-17 yrs,22,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,9.7107515335083 +1986,55,0.6408324241638184,homicide,15-17 yrs,6,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,2.6483869552612305 +1986,55,0.6408324241638184,other external,15-17 yrs,21,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,9.269353866577148 +1986,55,0.6408324241638184,internal,15-17 yrs,32,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,14.124730110168457 +1986,55,0.6408324241638184,all,18-20 yrs,219,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,94.68141174316406 +1986,55,0.6408324241638184,MVA,18-20 yrs,95,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,41.07184600830078 +1986,55,0.6408324241638184,suicide,18-20 yrs,39,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,16.861072540283203 +1986,55,0.6408324241638184,homicide,18-20 yrs,15,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,6.485028266906738 +1986,55,0.6408324241638184,other external,18-20 yrs,24,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,10.376045227050781 +1986,55,0.6408324241638184,internal,18-20 yrs,46,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,19.887420654296875 +1986,55,0.6408324241638184,all,21-24 yrs,294,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,87.74285888671875 +1986,55,0.6408324241638184,MVA,21-24 yrs,108,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,32.23207092285156 +1986,55,0.6408324241638184,suicide,21-24 yrs,61,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,18.205150604248047 +1986,55,0.6408324241638184,homicide,21-24 yrs,30,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,8.953352928161621 +1986,55,0.6408324241638184,other external,21-24 yrs,40,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,11.937804222106934 +1986,55,0.6408324241638184,internal,21-24 yrs,55,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,16.414480209350586 +1987,55,0.33809036016464233,MVA,15-17 yrs,58,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,26.315549850463867 +1987,55,0.33809036016464233,suicide,15-17 yrs,17,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,7.713178634643555 +1987,55,0.33809036016464233,homicide,15-17 yrs,5,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,2.2685818672180176 +1987,55,0.33809036016464233,other external,15-17 yrs,15,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,6.805746078491211 +1987,55,0.33809036016464233,internal,15-17 yrs,27,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,12.25034236907959 +1987,55,0.33809036016464233,all,18-20 yrs,199,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,88.118988037109375 +1987,55,0.33809036016464233,MVA,18-20 yrs,85,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,37.638763427734375 +1987,55,0.33809036016464233,suicide,18-20 yrs,51,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,22.58325958251953 +1987,55,0.33809036016464233,homicide,18-20 yrs,12,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,5.3137078285217285 +1987,55,0.33809036016464233,other external,18-20 yrs,17,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,7.527752876281738 +1987,55,0.33809036016464233,internal,18-20 yrs,34,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,15.055505752563477 +1987,55,0.33809036016464233,all,21-24 yrs,277,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,86.3735580444336 +1987,55,0.33809036016464233,MVA,21-24 yrs,103,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,32.117244720458984 +1987,55,0.33809036016464233,suicide,21-24 yrs,71,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,22.139070510864258 +1987,55,0.33809036016464233,homicide,21-24 yrs,15,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,4.6772685050964355 +1987,55,0.33809036016464233,other external,21-24 yrs,38,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,11.849080085754395 +1987,55,0.33809036016464233,internal,21-24 yrs,50,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,15.59089469909668 +1988,55,0.040593843907117844,MVA,15-17 yrs,53,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,25.159860610961914 +1988,55,0.040593843907117844,suicide,15-17 yrs,38,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,18.03914451599121 +1988,55,0.040593843907117844,homicide,15-17 yrs,4,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,1.8988573551177979 +1988,55,0.040593843907117844,other external,15-17 yrs,14,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,6.646000862121582 +1988,55,0.040593843907117844,internal,15-17 yrs,36,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.0897159576416 +1988,55,0.040593843907117844,all,18-20 yrs,219,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,97.02845001220703 +1988,55,0.040593843907117844,MVA,18-20 yrs,107,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,47.406593322753906 +1988,55,0.040593843907117844,suicide,18-20 yrs,37,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,16.392934799194336 +1988,55,0.040593843907117844,homicide,18-20 yrs,5,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,2.215261459350586 +1988,55,0.040593843907117844,other external,18-20 yrs,30,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,13.2915678024292 +1988,55,0.040593843907117844,internal,18-20 yrs,40,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.722091674804688 +1988,55,0.040593843907117844,all,21-24 yrs,303,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,97.89952087402344 +1988,55,0.040593843907117844,MVA,21-24 yrs,120,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,38.77208709716797 +1988,55,0.040593843907117844,suicide,21-24 yrs,64,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,20.678447723388672 +1988,55,0.040593843907117844,homicide,21-24 yrs,28,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,9.046820640563965 +1988,55,0.040593843907117844,other external,21-24 yrs,36,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,11.63162612915039 +1988,55,0.040593843907117844,internal,21-24 yrs,55,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.770540237426758 +1989,55,0,MVA,15-17 yrs,57,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,28.56570053100586 +1989,55,0,suicide,15-17 yrs,22,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,11.025358200073242 +1989,55,0,homicide,15-17 yrs,8,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,4.009221076965332 +1989,55,0,other external,15-17 yrs,14,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,7.01613712310791 +1989,55,0,internal,15-17 yrs,33,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,16.53803825378418 +1989,55,0,all,18-20 yrs,196,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,85.86360931396484 +1989,55,0,MVA,18-20 yrs,83,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,36.36061096191406 +1989,55,0,suicide,18-20 yrs,34,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,14.894707679748535 +1989,55,0,homicide,18-20 yrs,22,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.637751579284668 +1989,55,0,other external,18-20 yrs,22,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.637751579284668 +1989,55,0,internal,18-20 yrs,35,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,15.33278751373291 +1989,55,0,all,21-24 yrs,260,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,88.15172576904297 +1989,55,0,MVA,21-24 yrs,102,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,34.582603454589844 +1989,55,0,suicide,21-24 yrs,53,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,17.969390869140625 +1989,55,0,homicide,21-24 yrs,27,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.154217720031738 +1989,55,0,other external,21-24 yrs,25,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,8.476127624511719 +1989,55,0,internal,21-24 yrs,53,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,17.969390869140625 +1990,55,0,MVA,15-17 yrs,58,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,29.013927459716797 +1990,55,0,suicide,15-17 yrs,22,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,11.005282402038574 +1990,55,0,homicide,15-17 yrs,10,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,5.002401351928711 +1990,55,0,other external,15-17 yrs,11,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,5.502641201019287 +1990,55,0,internal,15-17 yrs,33,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,16.507923126220703 +1990,55,0,all,18-20 yrs,219,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,97.58358001708984 +1990,55,0,MVA,18-20 yrs,79,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,35.20138168334961 +1990,55,0,suicide,18-20 yrs,51,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,22.724943161010742 +1990,55,0,homicide,18-20 yrs,30,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,13.367613792419434 +1990,55,0,other external,18-20 yrs,19,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,8.466155052185059 +1990,55,0,internal,18-20 yrs,40,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.823484420776367 +1990,55,0,all,21-24 yrs,260,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,90.85063934326172 +1990,55,0,MVA,21-24 yrs,99,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,34.5931282043457 +1990,55,0,suicide,21-24 yrs,49,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.121850967407227 +1990,55,0,homicide,21-24 yrs,30,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,10.482766151428223 +1990,55,0,other external,21-24 yrs,32,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,11.181617736816406 +1990,55,0,internal,21-24 yrs,50,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.471277236938477 +1991,55,0,MVA,15-17 yrs,48,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,23.5838623046875 +1991,55,0,suicide,15-17 yrs,22,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,10.809270858764648 +1991,55,0,homicide,15-17 yrs,19,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,9.33527946472168 +1991,55,0,other external,15-17 yrs,12,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,5.895965576171875 +1991,55,0,internal,15-17 yrs,29,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.248583793640137 +1991,55,0,all,18-20 yrs,192,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,89.322265625 +1991,55,0,MVA,18-20 yrs,77,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,35.82195281982422 +1991,55,0,suicide,18-20 yrs,31,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.42182445526123 +1991,55,0,homicide,18-20 yrs,32,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.887044906616211 +1991,55,0,other external,18-20 yrs,24,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,11.165283203125 +1991,55,0,internal,18-20 yrs,28,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,13.026164054870605 +1991,55,0,all,21-24 yrs,272,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,94.493988037109375 +1991,55,0,MVA,21-24 yrs,108,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,37.51967239379883 +1991,55,0,suicide,21-24 yrs,50,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,17.37021827697754 +1991,55,0,homicide,21-24 yrs,32,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,11.116939544677734 +1991,55,0,other external,21-24 yrs,25,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,8.68510913848877 +1991,55,0,internal,21-24 yrs,57,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,19.80204963684082 +1992,55,0,MVA,15-17 yrs,47,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,22.3023624420166 +1992,55,0,suicide,15-17 yrs,32,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,15.184587478637695 +1992,55,0,homicide,15-17 yrs,20,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.49036693572998 +1992,55,0,other external,15-17 yrs,20,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.49036693572998 +1992,55,0,internal,15-17 yrs,26,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,12.337477684020996 +1992,55,0,all,18-20 yrs,171,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,83.3053207397461 +1992,55,0,MVA,18-20 yrs,66,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,32.152931213378906 +1992,55,0,suicide,18-20 yrs,35,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,17.050796508789062 +1992,55,0,homicide,18-20 yrs,22,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,10.717643737792969 +1992,55,0,other external,18-20 yrs,22,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,10.717643737792969 +1992,55,0,internal,18-20 yrs,26,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,12.666306495666504 +1992,55,0,all,21-24 yrs,208,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,71.57210540771484 +1992,55,0,MVA,21-24 yrs,70,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,24.086767196655273 +1992,55,0,suicide,21-24 yrs,40,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,13.763867378234863 +1992,55,0,homicide,21-24 yrs,27,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.290610313415527 +1992,55,0,other external,21-24 yrs,19,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,6.537837028503418 +1992,55,0,internal,21-24 yrs,52,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,17.89302635192871 +1993,55,0,MVA,15-17 yrs,55,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,25.48927879333496 +1993,55,0,suicide,15-17 yrs,23,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,10.65915298461914 +1993,55,0,homicide,15-17 yrs,21,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.732270240783691 +1993,55,0,other external,15-17 yrs,13,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,6.024738311767578 +1993,55,0,internal,15-17 yrs,27,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,12.512918472290039 +1993,55,0,all,18-20 yrs,231,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,112.18875122070312 +1993,55,0,MVA,18-20 yrs,106,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,51.480552673339844 +1993,55,0,suicide,18-20 yrs,37,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,17.969627380371094 +1993,55,0,homicide,18-20 yrs,27,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,13.112970352172852 +1993,55,0,other external,18-20 yrs,20,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.713311195373535 +1993,55,0,internal,18-20 yrs,41,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,19.912288665771484 +1993,55,0,all,21-24 yrs,243,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,84.45594024658203 +1993,55,0,MVA,21-24 yrs,82,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,28.499534606933594 +1993,55,0,suicide,21-24 yrs,43,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,14.944877624511719 +1993,55,0,homicide,21-24 yrs,27,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.383993148803711 +1993,55,0,other external,21-24 yrs,28,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.731548309326172 +1993,55,0,internal,21-24 yrs,63,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,21.89598274230957 +1994,55,0,MVA,15-17 yrs,52,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,23.18985366821289 +1994,55,0,suicide,15-17 yrs,20,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,8.9191741943359375 +1994,55,0,homicide,15-17 yrs,21,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,9.365133285522461 +1994,55,0,other external,15-17 yrs,22,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,9.811091423034668 +1994,55,0,internal,15-17 yrs,28,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,12.486844062805176 +1994,55,0,all,18-20 yrs,181,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,86.36155700683594 +1994,55,0,MVA,18-20 yrs,80,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,38.17085266113281 +1994,55,0,suicide,18-20 yrs,28,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,13.359798431396484 +1994,55,0,homicide,18-20 yrs,30,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,14.314069747924805 +1994,55,0,other external,18-20 yrs,16,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,7.6341705322265625 +1994,55,0,internal,18-20 yrs,27,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,12.882662773132324 +1994,55,0,all,21-24 yrs,238,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,85.29304504394531 +1994,55,0,MVA,21-24 yrs,81,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,29.028305053710938 +1994,55,0,suicide,21-24 yrs,44,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,15.768461227416992 +1994,55,0,homicide,21-24 yrs,38,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,13.618216514587402 +1994,55,0,other external,21-24 yrs,32,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,11.467971801757812 +1994,55,0,internal,21-24 yrs,43,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,15.410087585449219 +1995,55,0,MVA,15-17 yrs,57,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,24.42776870727539 +1995,55,0,suicide,15-17 yrs,23,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,9.856819152832031 +1995,55,0,homicide,15-17 yrs,15,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,6.4283599853515625 +1995,55,0,other external,15-17 yrs,21,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,8.999704360961914 +1995,55,0,internal,15-17 yrs,29,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,12.428163528442383 +1995,55,0,all,18-20 yrs,184,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,84.992767333984375 +1995,55,0,MVA,18-20 yrs,63,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,29.100786209106445 +1995,55,0,suicide,18-20 yrs,28,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,12.933682441711426 +1995,55,0,homicide,18-20 yrs,33,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,15.243268966674805 +1995,55,0,other external,18-20 yrs,20,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,9.2383451461792 +1995,55,0,internal,18-20 yrs,40,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,18.4766902923584 +1995,55,0,all,21-24 yrs,227,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,84.261322021484375 +1995,55,0,MVA,21-24 yrs,74,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,27.468448638916016 +1995,55,0,suicide,21-24 yrs,52,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,19.302152633666992 +1995,55,0,homicide,21-24 yrs,32,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,11.87824821472168 +1995,55,0,other external,21-24 yrs,17,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,6.310319423675537 +1995,55,0,internal,21-24 yrs,52,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,19.302152633666992 +1996,55,0,MVA,15-17 yrs,59,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,24.50349235534668 +1996,55,0,suicide,15-17 yrs,17,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.060328483581543 +1996,55,0,homicide,15-17 yrs,18,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.47564172744751 +1996,55,0,other external,15-17 yrs,11,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,4.568447589874268 +1996,55,0,internal,15-17 yrs,32,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,13.290029525756836 +1996,55,0,all,18-20 yrs,178,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,80.39020538330078 +1996,55,0,MVA,18-20 yrs,67,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,30.259235382080078 +1996,55,0,suicide,18-20 yrs,35,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,15.807063102722168 +1996,55,0,homicide,18-20 yrs,22,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,9.935868263244629 +1996,55,0,other external,18-20 yrs,22,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,9.935868263244629 +1996,55,0,internal,18-20 yrs,32,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,14.45217227935791 +1996,55,0,all,21-24 yrs,225,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,85.88966369628906 +1996,55,0,MVA,21-24 yrs,80,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,30.53854751586914 +1996,55,0,suicide,21-24 yrs,44,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,16.796201705932617 +1996,55,0,homicide,21-24 yrs,28,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,10.688491821289062 +1996,55,0,other external,21-24 yrs,20,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.634636878967285 +1996,55,0,internal,21-24 yrs,53,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,20.231786727905273 +1970,56,0,MVA,15-17 yrs,16,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,75.30120849609375 +1970,56,0,suicide,15-17 yrs,3,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,14.118975639343262 +1970,56,0,homicide,15-17 yrs,0,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,0 +1970,56,0,other external,15-17 yrs,8,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,37.650604248046875 +1970,56,0,internal,15-17 yrs,6,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,28.237951278686523 +1970,56,0,all,18-20 yrs,45,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,259.8602600097656 +1970,56,0,MVA,18-20 yrs,25,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,144.36680603027344 +1970,56,0,suicide,18-20 yrs,3,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,17.324016571044922 +1970,56,0,homicide,18-20 yrs,1,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,5.774672508239746 +1970,56,0,other external,18-20 yrs,12,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,69.29606628417969 +1970,56,0,internal,18-20 yrs,4,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,23.098690032958984 +1970,56,0,all,21-24 yrs,55,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,282.1525573730469 +1970,56,0,MVA,21-24 yrs,27,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,138.51126098632812 +1970,56,0,suicide,21-24 yrs,5,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,25.65023422241211 +1970,56,0,homicide,21-24 yrs,4,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,20.520187377929688 +1970,56,0,other external,21-24 yrs,15,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,76.95069885253906 +1970,56,0,internal,21-24 yrs,4,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,20.520187377929688 +1971,56,0,MVA,15-17 yrs,16,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,73.95082092285156 +1971,56,0,suicide,15-17 yrs,0,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,homicide,15-17 yrs,0,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,other external,15-17 yrs,8,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,36.97541046142578 +1971,56,0,internal,15-17 yrs,3,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,13.865778923034668 +1971,56,0,all,18-20 yrs,35,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,184.49212646484375 +1971,56,0,MVA,18-20 yrs,19,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,100.15286254882812 +1971,56,0,suicide,18-20 yrs,4,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,21.084814071655273 +1971,56,0,homicide,18-20 yrs,2,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,10.542407035827637 +1971,56,0,other external,18-20 yrs,8,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,42.16962814331055 +1971,56,0,internal,18-20 yrs,2,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,10.542407035827637 +1971,56,0,all,21-24 yrs,52,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,236.00962829589844 +1971,56,0,MVA,21-24 yrs,30,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,136.15939331054688 +1971,56,0,suicide,21-24 yrs,8,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,36.309173583984375 +1971,56,0,homicide,21-24 yrs,0,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,other external,21-24 yrs,10,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,45.38646697998047 +1971,56,0,internal,21-24 yrs,4,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,18.154586791992188 +1972,56,0,MVA,15-17 yrs,26,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,118.8788833618164 +1972,56,0,suicide,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,homicide,15-17 yrs,0,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,internal,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,all,18-20 yrs,50,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,243.81918334960938 +1972,56,0,MVA,18-20 yrs,28,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,136.5387420654297 +1972,56,0,suicide,18-20 yrs,2,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,9.752767562866211 +1972,56,0,homicide,18-20 yrs,0,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,18-20 yrs,16,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,78.02214050292969 +1972,56,0,internal,18-20 yrs,4,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,19.505535125732422 +1972,56,0,all,21-24 yrs,70,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,302.75506591796875 +1972,56,0,MVA,21-24 yrs,30,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,129.75216674804688 +1972,56,0,suicide,21-24 yrs,14,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,60.5510139465332 +1972,56,0,homicide,21-24 yrs,0,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,21-24 yrs,16,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,69.20115661621094 +1972,56,0,internal,21-24 yrs,10,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,43.25072479248047 +1973,56,0.4482218027114868,MVA,15-17 yrs,9,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,40.814476013183594 +1973,56,0.4482218027114868,suicide,15-17 yrs,3,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,13.604825019836426 +1973,56,0.4482218027114868,homicide,15-17 yrs,1,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.534941673278809 +1973,56,0.4482218027114868,other external,15-17 yrs,8,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,36.27953338623047 +1973,56,0.4482218027114868,internal,15-17 yrs,2,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,9.069883346557617 +1973,56,0.4482218027114868,all,18-20 yrs,58,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,271.5228576660156 +1973,56,0.4482218027114868,MVA,18-20 yrs,32,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,149.80572509765625 +1973,56,0.4482218027114868,suicide,18-20 yrs,1,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.681428909301758 +1973,56,0.4482218027114868,homicide,18-20 yrs,1,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.681428909301758 +1973,56,0.4482218027114868,other external,18-20 yrs,15,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,70.22142791748047 +1973,56,0.4482218027114868,internal,18-20 yrs,9,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,42.13285827636719 +1973,56,0.4482218027114868,all,21-24 yrs,64,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,259.8879089355469 +1973,56,0.4482218027114868,MVA,21-24 yrs,31,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,125.88320922851562 +1973,56,0.4482218027114868,suicide,21-24 yrs,7,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,28.425241470336914 +1973,56,0.4482218027114868,homicide,21-24 yrs,4,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,16.24299430847168 +1973,56,0.4482218027114868,other external,21-24 yrs,14,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,56.85048294067383 +1973,56,0.4482218027114868,internal,21-24 yrs,8,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,32.48598861694336 +1974,56,0.670043408870697,MVA,15-17 yrs,14,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,62.10353469848633 +1974,56,0.670043408870697,suicide,15-17 yrs,1,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,4.435966968536377 +1974,56,0.670043408870697,homicide,15-17 yrs,0,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,0 +1974,56,0.670043408870697,other external,15-17 yrs,12,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,53.23160171508789 +1974,56,0.670043408870697,internal,15-17 yrs,6,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,26.615800857543945 +1974,56,0.670043408870697,all,18-20 yrs,69,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,312.0477600097656 +1974,56,0.670043408870697,MVA,18-20 yrs,42,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,189.94210815429688 +1974,56,0.670043408870697,suicide,18-20 yrs,3,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,13.567294120788574 +1974,56,0.670043408870697,homicide,18-20 yrs,0,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,0 +1974,56,0.670043408870697,other external,18-20 yrs,17,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,76.88133239746094 +1974,56,0.670043408870697,internal,18-20 yrs,7,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,31.657018661499023 +1974,56,0.670043408870697,all,21-24 yrs,61,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,230.60638427734375 +1974,56,0.670043408870697,MVA,21-24 yrs,28,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,105.85211181640625 +1974,56,0.670043408870697,suicide,21-24 yrs,6,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,22.682594299316406 +1974,56,0.670043408870697,homicide,21-24 yrs,8,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,30.243459701538086 +1974,56,0.670043408870697,other external,21-24 yrs,14,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,52.926055908203125 +1974,56,0.670043408870697,internal,21-24 yrs,5,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,18.902162551879883 +1975,56,0.6681166291236877,MVA,15-17 yrs,19,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,82.04154205322266 +1975,56,0.6681166291236877,suicide,15-17 yrs,2,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,8.635951042175293 +1975,56,0.6681166291236877,homicide,15-17 yrs,0,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,0 +1975,56,0.6681166291236877,other external,15-17 yrs,11,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,47.49773406982422 +1975,56,0.6681166291236877,internal,15-17 yrs,4,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,17.271902084350586 +1975,56,0.6681166291236877,all,18-20 yrs,62,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,267.022705078125 +1975,56,0.6681166291236877,MVA,18-20 yrs,35,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,150.73861694335938 +1975,56,0.6681166291236877,suicide,18-20 yrs,6,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,25.840906143188477 +1975,56,0.6681166291236877,homicide,18-20 yrs,0,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,0 +1975,56,0.6681166291236877,other external,18-20 yrs,12,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,51.68181228637695 +1975,56,0.6681166291236877,internal,18-20 yrs,9,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,38.76136016845703 +1975,56,0.6681166291236877,all,21-24 yrs,75,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,254.5565643310547 +1975,56,0.6681166291236877,MVA,21-24 yrs,34,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,115.39897155761719 +1975,56,0.6681166291236877,suicide,21-24 yrs,9,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,30.54678726196289 +1975,56,0.6681166291236877,homicide,21-24 yrs,5,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,16.97043800354004 +1975,56,0.6681166291236877,other external,21-24 yrs,21,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,71.27584075927734 +1975,56,0.6681166291236877,internal,21-24 yrs,6,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,20.364524841308594 +1976,56,0.6792000532150269,MVA,15-17 yrs,18,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,75.45904541015625 +1976,56,0.6792000532150269,suicide,15-17 yrs,4,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,16.7686767578125 +1976,56,0.6792000532150269,homicide,15-17 yrs,0,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,0 +1976,56,0.6792000532150269,other external,15-17 yrs,9,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,37.729522705078125 +1976,56,0.6792000532150269,internal,15-17 yrs,4,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,16.7686767578125 +1976,56,0.6792000532150269,all,18-20 yrs,72,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,297.4960632324219 +1976,56,0.6792000532150269,MVA,18-20 yrs,43,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,177.6712646484375 +1976,56,0.6792000532150269,suicide,18-20 yrs,5,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,20.65945053100586 +1976,56,0.6792000532150269,homicide,18-20 yrs,3,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,12.395669937133789 +1976,56,0.6792000532150269,other external,18-20 yrs,15,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,61.97834777832031 +1976,56,0.6792000532150269,internal,18-20 yrs,6,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,24.791339874267578 +1976,56,0.6792000532150269,all,21-24 yrs,71,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,220.40106201171875 +1976,56,0.6792000532150269,MVA,21-24 yrs,37,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,114.85689544677734 +1976,56,0.6792000532150269,suicide,21-24 yrs,7,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,21.72968292236328 +1976,56,0.6792000532150269,homicide,21-24 yrs,1,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,3.1042404174804688 +1976,56,0.6792000532150269,other external,21-24 yrs,21,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,65.18904876708984 +1976,56,0.6792000532150269,internal,21-24 yrs,5,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,15.521202087402344 +1977,56,0.68210369348526,MVA,15-17 yrs,14,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,57.14985656738281 +1977,56,0.68210369348526,suicide,15-17 yrs,2,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,8.164264678955078 +1977,56,0.68210369348526,homicide,15-17 yrs,0,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,0 +1977,56,0.68210369348526,other external,15-17 yrs,5,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,20.410661697387695 +1977,56,0.68210369348526,internal,15-17 yrs,4,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,16.328529357910156 +1977,56,0.68210369348526,all,18-20 yrs,47,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,186.8341522216797 +1977,56,0.68210369348526,MVA,18-20 yrs,33,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,131.18142700195312 +1977,56,0.68210369348526,suicide,18-20 yrs,2,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,7.950389385223389 +1977,56,0.68210369348526,homicide,18-20 yrs,0,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,0 +1977,56,0.68210369348526,other external,18-20 yrs,9,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,35.77675247192383 +1977,56,0.68210369348526,internal,18-20 yrs,3,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,11.92558479309082 +1977,56,0.68210369348526,all,21-24 yrs,79,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,227.01148986816406 +1977,56,0.68210369348526,MVA,21-24 yrs,55,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,158.0459747314453 +1977,56,0.68210369348526,suicide,21-24 yrs,6,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,17.241378784179688 +1977,56,0.68210369348526,homicide,21-24 yrs,3,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,8.620689392089844 +1977,56,0.68210369348526,other external,21-24 yrs,11,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,31.609195709228516 +1977,56,0.68210369348526,internal,21-24 yrs,4,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,11.494253158569336 +1978,56,0.68146151304245,MVA,15-17 yrs,21,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,85.35197448730469 +1978,56,0.68146151304245,suicide,15-17 yrs,2,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,8.128759384155273 +1978,56,0.68146151304245,homicide,15-17 yrs,2,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,8.128759384155273 +1978,56,0.68146151304245,other external,15-17 yrs,4,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,16.257518768310547 +1978,56,0.68146151304245,internal,15-17 yrs,6,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,24.38627815246582 +1978,56,0.68146151304245,all,18-20 yrs,61,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,234.61538696289062 +1978,56,0.68146151304245,MVA,18-20 yrs,36,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,138.46153259277344 +1978,56,0.68146151304245,suicide,18-20 yrs,4,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,15.384614944458008 +1978,56,0.68146151304245,homicide,18-20 yrs,2,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,7.692307472229004 +1978,56,0.68146151304245,other external,18-20 yrs,17,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,65.384613037109375 +1978,56,0.68146151304245,internal,18-20 yrs,2,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,7.692307472229004 +1978,56,0.68146151304245,all,21-24 yrs,70,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,188.05577087402344 +1978,56,0.68146151304245,MVA,21-24 yrs,39,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,104.77393341064453 +1978,56,0.68146151304245,suicide,21-24 yrs,10,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,26.865110397338867 +1978,56,0.68146151304245,homicide,21-24 yrs,2,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,5.373022079467773 +1978,56,0.68146151304245,other external,21-24 yrs,14,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,37.61115264892578 +1978,56,0.68146151304245,internal,21-24 yrs,5,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,13.432555198669434 +1979,56,0.6841331124305725,MVA,15-17 yrs,13,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,52.88422393798828 +1979,56,0.6841331124305725,suicide,15-17 yrs,3,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,12.204051971435547 +1979,56,0.6841331124305725,homicide,15-17 yrs,0,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,0 +1979,56,0.6841331124305725,other external,15-17 yrs,9,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,36.61215591430664 +1979,56,0.6841331124305725,internal,15-17 yrs,3,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,12.204051971435547 +1979,56,0.6841331124305725,all,18-20 yrs,48,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,176.50303649902344 +1979,56,0.6841331124305725,MVA,18-20 yrs,29,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,106.63725280761719 +1979,56,0.6841331124305725,suicide,18-20 yrs,6,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,22.06287956237793 +1979,56,0.6841331124305725,homicide,18-20 yrs,2,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,7.354292869567871 +1979,56,0.6841331124305725,other external,18-20 yrs,8,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,29.417171478271484 +1979,56,0.6841331124305725,internal,18-20 yrs,3,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,11.031439781188965 +1979,56,0.6841331124305725,all,21-24 yrs,78,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,197.73867797851562 +1979,56,0.6841331124305725,MVA,21-24 yrs,39,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,98.86933898925781 +1979,56,0.6841331124305725,suicide,21-24 yrs,14,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,35.49155807495117 +1979,56,0.6841331124305725,homicide,21-24 yrs,4,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,10.1404447555542 +1979,56,0.6841331124305725,other external,21-24 yrs,15,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,38.026668548583984 +1979,56,0.6841331124305725,internal,21-24 yrs,6,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,15.210667610168457 +1980,56,0.6908413171768188,MVA,15-17 yrs,23,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,94.61127471923828 +1980,56,0.6908413171768188,suicide,15-17 yrs,1,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,4.1135334968566895 +1980,56,0.6908413171768188,homicide,15-17 yrs,1,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,4.1135334968566895 +1980,56,0.6908413171768188,other external,15-17 yrs,10,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,41.13533401489258 +1980,56,0.6908413171768188,internal,15-17 yrs,4,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,16.454133987426758 +1980,56,0.6908413171768188,all,18-20 yrs,67,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,240.07452392578125 +1980,56,0.6908413171768188,MVA,18-20 yrs,40,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,143.3280792236328 +1980,56,0.6908413171768188,suicide,18-20 yrs,6,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,21.49921226501465 +1980,56,0.6908413171768188,homicide,18-20 yrs,4,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,14.332807540893555 +1980,56,0.6908413171768188,other external,18-20 yrs,7,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,25.082412719726562 +1980,56,0.6908413171768188,internal,18-20 yrs,10,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,35.8320198059082 +1980,56,0.6908413171768188,all,21-24 yrs,70,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,172.0408935546875 +1980,56,0.6908413171768188,MVA,21-24 yrs,31,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,76.18953704833984 +1980,56,0.6908413171768188,suicide,21-24 yrs,11,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,27.034997940063477 +1980,56,0.6908413171768188,homicide,21-24 yrs,5,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,12.28863525390625 +1980,56,0.6908413171768188,other external,21-24 yrs,19,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,46.696815490722656 +1980,56,0.6908413171768188,internal,21-24 yrs,4,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,9.83090877532959 +1981,56,0.689250111579895,MVA,15-17 yrs,15,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,62.22517395019531 +1981,56,0.689250111579895,suicide,15-17 yrs,2,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,8.296689987182617 +1981,56,0.689250111579895,homicide,15-17 yrs,0,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,0 +1981,56,0.689250111579895,other external,15-17 yrs,4,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,16.593379974365234 +1981,56,0.689250111579895,internal,15-17 yrs,2,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,8.296689987182617 +1981,56,0.689250111579895,all,18-20 yrs,63,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,232.72996520996094 +1981,56,0.689250111579895,MVA,18-20 yrs,42,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,155.15330505371094 +1981,56,0.689250111579895,suicide,18-20 yrs,4,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,14.776505470275879 +1981,56,0.689250111579895,homicide,18-20 yrs,2,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,7.3882527351379395 +1981,56,0.689250111579895,other external,18-20 yrs,8,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,29.553010940551758 +1981,56,0.689250111579895,internal,18-20 yrs,7,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,25.858884811401367 +1981,56,0.689250111579895,all,21-24 yrs,85,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,214.35415649414062 +1981,56,0.689250111579895,MVA,21-24 yrs,50,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,126.09068298339844 +1981,56,0.689250111579895,suicide,21-24 yrs,9,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,22.69632339477539 +1981,56,0.689250111579895,homicide,21-24 yrs,2,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,5.0436272621154785 +1981,56,0.689250111579895,other external,21-24 yrs,17,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,42.87083435058594 +1981,56,0.689250111579895,internal,21-24 yrs,7,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,17.65269660949707 +1982,56,0.6818512082099915,MVA,15-17 yrs,15,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,63.25110626220703 +1982,56,0.6818512082099915,suicide,15-17 yrs,6,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,25.300443649291992 +1982,56,0.6818512082099915,homicide,15-17 yrs,0,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,0 +1982,56,0.6818512082099915,other external,15-17 yrs,4,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,16.866962432861328 +1982,56,0.6818512082099915,internal,15-17 yrs,3,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,12.650221824645996 +1982,56,0.6818512082099915,all,18-20 yrs,45,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,172.11703491210938 +1982,56,0.6818512082099915,MVA,18-20 yrs,28,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,107.09504699707031 +1982,56,0.6818512082099915,suicide,18-20 yrs,2,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,7.649646282196045 +1982,56,0.6818512082099915,homicide,18-20 yrs,2,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,7.649646282196045 +1982,56,0.6818512082099915,other external,18-20 yrs,9,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,34.42340850830078 +1982,56,0.6818512082099915,internal,18-20 yrs,4,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,15.29929256439209 +1982,56,0.6818512082099915,all,21-24 yrs,72,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,188.02882385253906 +1982,56,0.6818512082099915,MVA,21-24 yrs,29,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,75.73383331298828 +1982,56,0.6818512082099915,suicide,21-24 yrs,10,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,26.115116119384766 +1982,56,0.6818512082099915,homicide,21-24 yrs,9,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,23.503602981567383 +1982,56,0.6818512082099915,other external,21-24 yrs,18,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,47.007205963134766 +1982,56,0.6818512082099915,internal,21-24 yrs,6,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,15.669069290161133 +1983,56,0.6849671006202698,MVA,15-17 yrs,10,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,42.41961669921875 +1983,56,0.6849671006202698,suicide,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,homicide,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,other external,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,internal,15-17 yrs,0,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,0 +1983,56,0.6849671006202698,all,18-20 yrs,39,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,158.36920166015625 +1983,56,0.6849671006202698,MVA,18-20 yrs,18,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,73.093475341796875 +1983,56,0.6849671006202698,suicide,18-20 yrs,8,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,32.48598861694336 +1983,56,0.6849671006202698,homicide,18-20 yrs,1,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.06074857711792 +1983,56,0.6849671006202698,other external,18-20 yrs,11,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,44.668235778808594 +1983,56,0.6849671006202698,internal,18-20 yrs,1,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.06074857711792 +1983,56,0.6849671006202698,all,21-24 yrs,65,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,182.24639892578125 +1983,56,0.6849671006202698,MVA,21-24 yrs,20,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,56.07581329345703 +1983,56,0.6849671006202698,suicide,21-24 yrs,20,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,56.07581329345703 +1983,56,0.6849671006202698,homicide,21-24 yrs,3,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,8.411372184753418 +1983,56,0.6849671006202698,other external,21-24 yrs,12,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,33.64548873901367 +1983,56,0.6849671006202698,internal,21-24 yrs,10,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,28.037906646728516 +1984,56,0.6847256422042847,MVA,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,suicide,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,homicide,15-17 yrs,1,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.25930643081665 +1984,56,0.6847256422042847,other external,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,internal,15-17 yrs,1,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.25930643081665 +1984,56,0.6847256422042847,all,18-20 yrs,41,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,179.13316345214844 +1984,56,0.6847256422042847,MVA,18-20 yrs,21,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,91.75113677978516 +1984,56,0.6847256422042847,suicide,18-20 yrs,8,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,34.95281219482422 +1984,56,0.6847256422042847,homicide,18-20 yrs,1,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.369101524353027 +1984,56,0.6847256422042847,other external,18-20 yrs,7,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,30.583711624145508 +1984,56,0.6847256422042847,internal,18-20 yrs,4,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.47640609741211 +1984,56,0.6847256422042847,all,21-24 yrs,61,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,185.79434204101562 +1984,56,0.6847256422042847,MVA,21-24 yrs,28,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,85.28265380859375 +1984,56,0.6847256422042847,suicide,21-24 yrs,8,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,24.366472244262695 +1984,56,0.6847256422042847,homicide,21-24 yrs,2,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,6.091618061065674 +1984,56,0.6847256422042847,other external,21-24 yrs,20,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,60.91617965698242 +1984,56,0.6847256422042847,internal,21-24 yrs,3,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,9.13742733001709 +1985,56,0.6747925877571106,MVA,15-17 yrs,8,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,33.6487922668457 +1985,56,0.6747925877571106,suicide,15-17 yrs,1,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,4.206099033355713 +1985,56,0.6747925877571106,homicide,15-17 yrs,1,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,4.206099033355713 +1985,56,0.6747925877571106,other external,15-17 yrs,7,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,29.442691802978516 +1985,56,0.6747925877571106,internal,15-17 yrs,2,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,8.412198066711426 +1985,56,0.6747925877571106,all,18-20 yrs,38,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,177.12315368652344 +1985,56,0.6747925877571106,MVA,18-20 yrs,19,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,88.56157684326172 +1985,56,0.6747925877571106,suicide,18-20 yrs,13,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,60.59476089477539 +1985,56,0.6747925877571106,homicide,18-20 yrs,0,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,0 +1985,56,0.6747925877571106,other external,18-20 yrs,3,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.983406066894531 +1985,56,0.6747925877571106,internal,18-20 yrs,3,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.983406066894531 +1985,56,0.6747925877571106,all,21-24 yrs,51,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,168.13925170898438 +1985,56,0.6747925877571106,MVA,21-24 yrs,20,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,65.93696594238281 +1985,56,0.6747925877571106,suicide,21-24 yrs,13,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,42.85902786254883 +1985,56,0.6747925877571106,homicide,21-24 yrs,4,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.187393188476562 +1985,56,0.6747925877571106,other external,21-24 yrs,11,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,36.26533126831055 +1985,56,0.6747925877571106,internal,21-24 yrs,3,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,9.890544891357422 +1986,56,0.6651237607002258,MVA,15-17 yrs,7,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.532997131347656 +1986,56,0.6651237607002258,suicide,15-17 yrs,2,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,8.152284622192383 +1986,56,0.6651237607002258,homicide,15-17 yrs,1,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,4.076142311096191 +1986,56,0.6651237607002258,other external,15-17 yrs,3,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,12.228426933288574 +1986,56,0.6651237607002258,internal,15-17 yrs,1,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,4.076142311096191 +1986,56,0.6651237607002258,all,18-20 yrs,43,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,209.5108184814453 +1986,56,0.6651237607002258,MVA,18-20 yrs,22,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,107.19158172607422 +1986,56,0.6651237607002258,suicide,18-20 yrs,5,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,24.361722946166992 +1986,56,0.6651237607002258,homicide,18-20 yrs,4,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,19.489377975463867 +1986,56,0.6651237607002258,other external,18-20 yrs,8,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,38.978755950927734 +1986,56,0.6651237607002258,internal,18-20 yrs,4,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,19.489377975463867 +1986,56,0.6651237607002258,all,21-24 yrs,46,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,165.46762084960938 +1986,56,0.6651237607002258,MVA,21-24 yrs,24,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,86.3309326171875 +1986,56,0.6651237607002258,suicide,21-24 yrs,8,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.7769775390625 +1986,56,0.6651237607002258,homicide,21-24 yrs,0,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,0 +1986,56,0.6651237607002258,other external,21-24 yrs,8,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.7769775390625 +1986,56,0.6651237607002258,internal,21-24 yrs,6,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,21.582733154296875 +1987,56,0.6538363695144653,MVA,15-17 yrs,8,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,33.75954818725586 +1987,56,0.6538363695144653,suicide,15-17 yrs,5,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,21.09971809387207 +1987,56,0.6538363695144653,homicide,15-17 yrs,0,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,0 +1987,56,0.6538363695144653,other external,15-17 yrs,1,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,4.219943523406982 +1987,56,0.6538363695144653,internal,15-17 yrs,2,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,8.439887046813965 +1987,56,0.6538363695144653,all,18-20 yrs,27,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,137.46754455566406 +1987,56,0.6538363695144653,MVA,18-20 yrs,19,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,96.736419677734375 +1987,56,0.6538363695144653,suicide,18-20 yrs,2,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,10.182781219482422 +1987,56,0.6538363695144653,homicide,18-20 yrs,1,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,5.091390609741211 +1987,56,0.6538363695144653,other external,18-20 yrs,2,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,10.182781219482422 +1987,56,0.6538363695144653,internal,18-20 yrs,3,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,15.274171829223633 +1987,56,0.6538363695144653,all,21-24 yrs,35,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,140.6187286376953 +1987,56,0.6538363695144653,MVA,21-24 yrs,11,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,44.194454193115234 +1987,56,0.6538363695144653,suicide,21-24 yrs,7,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,28.12374496459961 +1987,56,0.6538363695144653,homicide,21-24 yrs,1,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,4.0176777839660645 +1987,56,0.6538363695144653,other external,21-24 yrs,6,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,24.10606575012207 +1987,56,0.6538363695144653,internal,21-24 yrs,10,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,40.17677688598633 +1988,56,0.32408419251441956,MVA,15-17 yrs,10,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,44.573211669921875 +1988,56,0.32408419251441956,suicide,15-17 yrs,4,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,17.82928466796875 +1988,56,0.32408419251441956,homicide,15-17 yrs,0,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,0 +1988,56,0.32408419251441956,other external,15-17 yrs,7,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,31.201248168945312 +1988,56,0.32408419251441956,internal,15-17 yrs,3,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,13.371963500976562 +1988,56,0.32408419251441956,all,18-20 yrs,33,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,168.02444458007812 +1988,56,0.32408419251441956,MVA,18-20 yrs,23,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,117.10794067382812 +1988,56,0.32408419251441956,suicide,18-20 yrs,5,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,25.458248138427734 +1988,56,0.32408419251441956,homicide,18-20 yrs,2,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,10.18329906463623 +1988,56,0.32408419251441956,other external,18-20 yrs,1,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,5.091649532318115 +1988,56,0.32408419251441956,internal,18-20 yrs,2,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,10.18329906463623 +1988,56,0.32408419251441956,all,21-24 yrs,42,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,182.03094482421875 +1988,56,0.32408419251441956,MVA,21-24 yrs,22,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,95.34954071044922 +1988,56,0.32408419251441956,suicide,21-24 yrs,5,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,21.670351028442383 +1988,56,0.32408419251441956,homicide,21-24 yrs,1,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,4.334070205688477 +1988,56,0.32408419251441956,other external,21-24 yrs,8,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,34.67256164550781 +1988,56,0.32408419251441956,internal,21-24 yrs,6,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,26.00442123413086 +1989,56,0,MVA,15-17 yrs,6,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,28.057048797607422 +1989,56,0,suicide,15-17 yrs,5,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,23.380874633789062 +1989,56,0,homicide,15-17 yrs,0,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,0 +1989,56,0,other external,15-17 yrs,1,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,4.676175117492676 +1989,56,0,internal,15-17 yrs,0,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,0 +1989,56,0,all,18-20 yrs,31,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,154.45169067382812 +1989,56,0,MVA,18-20 yrs,16,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,79.71700286865234 +1989,56,0,suicide,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,homicide,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,other external,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,internal,18-20 yrs,3,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,14.946938514709473 +1989,56,0,all,21-24 yrs,28,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,128.00584411621094 +1989,56,0,MVA,21-24 yrs,12,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,54.859649658203125 +1989,56,0,suicide,21-24 yrs,5,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,22.85818862915039 +1989,56,0,homicide,21-24 yrs,2,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,9.143275260925293 +1989,56,0,other external,21-24 yrs,6,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,27.429824829101562 +1989,56,0,internal,21-24 yrs,3,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,13.714912414550781 +1990,56,0,MVA,15-17 yrs,8,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,37.59751892089844 +1990,56,0,suicide,15-17 yrs,5,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,23.498449325561523 +1990,56,0,homicide,15-17 yrs,1,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,4.699689865112305 +1990,56,0,other external,15-17 yrs,2,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,9.39937973022461 +1990,56,0,internal,15-17 yrs,2,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,9.39937973022461 +1990,56,0,all,18-20 yrs,29,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,143.2664794921875 +1990,56,0,MVA,18-20 yrs,15,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,74.10334777832031 +1990,56,0,suicide,18-20 yrs,6,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,29.641340255737305 +1990,56,0,homicide,18-20 yrs,1,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,4.940223217010498 +1990,56,0,other external,18-20 yrs,4,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,19.760892868041992 +1990,56,0,internal,18-20 yrs,3,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,14.820670127868652 +1990,56,0,all,21-24 yrs,33,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,153.53836059570312 +1990,56,0,MVA,21-24 yrs,11,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,51.1794548034668 +1990,56,0,suicide,21-24 yrs,6,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,27.916065216064453 +1990,56,0,homicide,21-24 yrs,3,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,13.958032608032227 +1990,56,0,other external,21-24 yrs,6,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,27.916065216064453 +1990,56,0,internal,21-24 yrs,7,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,32.56874465942383 +1991,56,0,MVA,15-17 yrs,10,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,45.798030853271484 +1991,56,0,suicide,15-17 yrs,5,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,22.899015426635742 +1991,56,0,homicide,15-17 yrs,1,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.579802989959717 +1991,56,0,other external,15-17 yrs,2,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.159605979919434 +1991,56,0,internal,15-17 yrs,2,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.159605979919434 +1991,56,0,all,18-20 yrs,33,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,158.197509765625 +1991,56,0,MVA,18-20 yrs,16,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,76.70182037353516 +1991,56,0,suicide,18-20 yrs,10,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,47.938636779785156 +1991,56,0,homicide,18-20 yrs,0,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,0 +1991,56,0,other external,18-20 yrs,5,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,23.969318389892578 +1991,56,0,internal,18-20 yrs,2,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.587727546691895 +1991,56,0,all,21-24 yrs,20,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,90.07791900634766 +1991,56,0,MVA,21-24 yrs,6,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,27.023374557495117 +1991,56,0,suicide,21-24 yrs,9,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,40.535064697265625 +1991,56,0,homicide,21-24 yrs,1,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.5038957595825195 +1991,56,0,other external,21-24 yrs,1,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.5038957595825195 +1991,56,0,internal,21-24 yrs,3,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,13.511687278747559 +1992,56,0,MVA,15-17 yrs,10,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,43.969573974609375 +1992,56,0,suicide,15-17 yrs,4,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,17.58782958984375 +1992,56,0,homicide,15-17 yrs,0,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,0 +1992,56,0,other external,15-17 yrs,3,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,13.190872192382812 +1992,56,0,internal,15-17 yrs,1,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.3969573974609375 +1992,56,0,all,18-20 yrs,30,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,140.47573852539062 +1992,56,0,MVA,18-20 yrs,14,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,65.55535125732422 +1992,56,0,suicide,18-20 yrs,8,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,37.46019744873047 +1992,56,0,homicide,18-20 yrs,1,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.682524681091309 +1992,56,0,other external,18-20 yrs,6,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,28.09514808654785 +1992,56,0,internal,18-20 yrs,1,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.682524681091309 +1992,56,0,all,21-24 yrs,26,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,110.3097152709961 +1992,56,0,MVA,21-24 yrs,13,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,55.15485763549805 +1992,56,0,suicide,21-24 yrs,4,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,16.970726013183594 +1992,56,0,homicide,21-24 yrs,1,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.242681503295898 +1992,56,0,other external,21-24 yrs,1,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.242681503295898 +1992,56,0,internal,21-24 yrs,7,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,29.69877052307129 +1993,56,0,MVA,15-17 yrs,10,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,42.54594802856445 +1993,56,0,suicide,15-17 yrs,8,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,34.03675842285156 +1993,56,0,homicide,15-17 yrs,0,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,15-17 yrs,2,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,8.50918960571289 +1993,56,0,internal,15-17 yrs,4,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,17.01837921142578 +1993,56,0,all,18-20 yrs,25,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,112.80061340332031 +1993,56,0,MVA,18-20 yrs,12,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,54.14429473876953 +1993,56,0,suicide,18-20 yrs,6,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,27.072147369384766 +1993,56,0,homicide,18-20 yrs,0,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,18-20 yrs,3,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,13.536073684692383 +1993,56,0,internal,18-20 yrs,4,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,18.048097610473633 +1993,56,0,all,21-24 yrs,26,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,104.43864440917969 +1993,56,0,MVA,21-24 yrs,10,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,40.16870880126953 +1993,56,0,suicide,21-24 yrs,9,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,36.15183639526367 +1993,56,0,homicide,21-24 yrs,0,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,21-24 yrs,4,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,16.06748390197754 +1993,56,0,internal,21-24 yrs,3,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,12.050612449645996 +1994,56,0,MVA,15-17 yrs,13,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,52.90143966674805 +1994,56,0,suicide,15-17 yrs,6,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,24.41604995727539 +1994,56,0,homicide,15-17 yrs,1,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,4.069341659545898 +1994,56,0,other external,15-17 yrs,3,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,12.208024978637695 +1994,56,0,internal,15-17 yrs,2,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,8.138683319091797 +1994,56,0,all,18-20 yrs,35,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,153.1393585205078 +1994,56,0,MVA,18-20 yrs,27,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,118.13607788085938 +1994,56,0,suicide,18-20 yrs,3,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,13.126230239868164 +1994,56,0,homicide,18-20 yrs,5,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,21.877050399780273 +1994,56,0,other external,18-20 yrs,0,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,0 +1994,56,0,internal,18-20 yrs,0,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,0 +1994,56,0,all,21-24 yrs,41,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,157.16038513183594 +1994,56,0,MVA,21-24 yrs,15,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,57.49769973754883 +1994,56,0,suicide,21-24 yrs,9,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,34.498619079589844 +1994,56,0,homicide,21-24 yrs,4,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,15.332719802856445 +1994,56,0,other external,21-24 yrs,9,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,34.498619079589844 +1994,56,0,internal,21-24 yrs,4,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,15.332719802856445 +1995,56,0,MVA,15-17 yrs,11,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,42.92683029174805 +1995,56,0,suicide,15-17 yrs,5,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,19.512195587158203 +1995,56,0,homicide,15-17 yrs,1,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,3.9024391174316406 +1995,56,0,other external,15-17 yrs,2,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,7.804878234863281 +1995,56,0,internal,15-17 yrs,7,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,27.317073822021484 +1995,56,0,all,18-20 yrs,42,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,177.30496215820312 +1995,56,0,MVA,18-20 yrs,22,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,92.87403106689453 +1995,56,0,suicide,18-20 yrs,7,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,29.550827026367188 +1995,56,0,homicide,18-20 yrs,0,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,0 +1995,56,0,other external,18-20 yrs,5,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,21.10773468017578 +1995,56,0,internal,18-20 yrs,8,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,33.77237319946289 +1995,56,0,all,21-24 yrs,41,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,153.6674041748047 +1995,56,0,MVA,21-24 yrs,23,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,86.20366668701172 +1995,56,0,suicide,21-24 yrs,12,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,44.975826263427734 +1995,56,0,homicide,21-24 yrs,2,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,7.495970726013184 +1995,56,0,other external,21-24 yrs,3,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,11.243956565856934 +1995,56,0,internal,21-24 yrs,1,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,3.747985363006592 +1996,56,0,MVA,15-17 yrs,13,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,49.471038818359375 +1996,56,0,suicide,15-17 yrs,5,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,19.02732276916504 +1996,56,0,homicide,15-17 yrs,0,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,0 +1996,56,0,other external,15-17 yrs,5,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,19.02732276916504 +1996,56,0,internal,15-17 yrs,2,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,7.610929489135742 +1996,56,0,all,18-20 yrs,33,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,136.18917846679688 +1996,56,0,MVA,18-20 yrs,20,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,82.53889465332031 +1996,56,0,suicide,18-20 yrs,0,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,0 +1996,56,0,homicide,18-20 yrs,3,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,12.380834579467773 +1996,56,0,other external,18-20 yrs,6,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,24.761669158935547 +1996,56,0,internal,18-20 yrs,4,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,16.507780075073242 +1996,56,0,all,21-24 yrs,34,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,125.98658752441406 +1996,56,0,MVA,21-24 yrs,14,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,51.8768310546875 +1996,56,0,suicide,21-24 yrs,5,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,18.52743911743164 +1996,56,0,homicide,21-24 yrs,2,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,7.410975456237793 +1996,56,0,other external,21-24 yrs,10,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,37.05487823486328 +1996,56,0,internal,21-24 yrs,3,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,11.116463661193848 diff --git a/docs/_site/projects/week-8/data/math_survey.csv b/docs/_site/projects/week-8/data/math_survey.csv new file mode 100644 index 00000000..73fb8685 --- /dev/null +++ b/docs/_site/projects/week-8/data/math_survey.csv @@ -0,0 +1,217 @@ +wave,timestamp,teacher,id_in_class,treatment,math_feeling,good_at_math,math_easy_hard,math_stressed,survey_stressed,math_anxiety +1,2019/01/29 6:12:22 PM MST,Teacher 1,1,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:13:16 PM MST,Teacher 1,2,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:14:04 PM MST,Teacher 1,4,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:14:42 PM MST,Teacher 1,5,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:15:39 PM MST,Teacher 1,6,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:16:36 PM MST,Teacher 1,7,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:17:27 PM MST,Teacher 1,8,Math story,:(,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/29 6:18:35 PM MST,Teacher 1,9,Math story,:(,Not good,Math is easy.,Yes,No,Yes +1,2019/01/29 6:20:03 PM MST,Teacher 1,10,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:20:52 PM MST,Teacher 1,11,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:21:53 PM MST,Teacher 1,12,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:22:39 PM MST,Teacher 1,14,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:24:00 PM MST,Teacher 1,15,Math story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/29 6:24:30 PM MST,Teacher 1,16,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:25:35 PM MST,Teacher 1,18,Math story,:|,I'm okay,Math is hard.,No,No,No +1,2019/01/29 6:26:04 PM MST,Teacher 1,19,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:26:31 PM MST,Teacher 1,20,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:27:02 PM MST,Teacher 1,21,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:27:38 PM MST,Teacher 1,22,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/29 6:28:03 PM MST,Teacher 1,23,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +1,2019/01/29 6:28:54 PM MST,Teacher 1,24,Math story,:(,Not good,Math is hard.,Yes,No,Yes +1,2019/01/29 6:29:22 PM MST,Teacher 1,25,Math story,:),I'm good at math,Math is easy.,Yes,No,Yes +1,2019/01/29 6:30:16 PM MST,Teacher 1,26,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:30:49 PM MST,Teacher 1,27,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:31:21 PM MST,Teacher 1,28,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/29 6:31:57 PM MST,Teacher 1,29,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:32:28 PM MST,Teacher 1,30,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:32:57 PM MST,Teacher 1,31,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/29 6:37:57 PM MST,Teacher 4,0,Normal story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/29 6:38:38 PM MST,Teacher 4,1,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:39:55 PM MST,Teacher 4,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:42:04 PM MST,Teacher 4,3,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 7:54:55 PM MST,Teacher 4,4,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/30 7:55:48 PM MST,Teacher 4,6,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 7:56:26 PM MST,Teacher 4,7,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/30 7:57:15 PM MST,Teacher 4,8,Normal story,:),"Not just good, I'm great!",Math is fine.,NA,No,NA +1,2019/01/30 7:58:54 PM MST,Teacher 4,9,Normal story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/30 7:59:23 PM MST,Teacher 4,10,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 7:59:50 PM MST,Teacher 4,11,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:00:22 PM MST,Teacher 4,12,Normal story,:),"Not just good, I'm great!",Math is easy.,No,Yes,No +1,2019/01/30 8:00:53 PM MST,Teacher 4,13,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:01:45 PM MST,Teacher 4,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/30 8:02:13 PM MST,Teacher 4,15,Normal story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/30 8:03:18 PM MST,Teacher 4,16,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/30 8:04:08 PM MST,Teacher 4,17,Normal story,:),I'm good at math,NA,No,No,No +1,2019/01/30 8:05:01 PM MST,Teacher 4,18,Normal story,:(,I'm okay,Math is hard.,Yes,NA,Yes +1,2019/01/30 8:05:38 PM MST,Teacher 4,20,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 8:07:40 PM MST,Teacher 4,21,Normal story,:(,I'm okay,NA,Yes,No,Yes +1,2019/01/30 8:10:57 PM MST,Teacher 4,22,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:12:52 PM MST,Teacher 4,23,Normal story,:(,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/30 8:13:53 PM MST,Teacher 4,24,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:14:54 PM MST,Teacher 4,25,Normal story,:),I'm okay,Math is easy.,No,NA,No +1,2019/01/30 8:18:11 PM MST,Teacher 4,26,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/30 8:18:44 PM MST,Teacher 4,27,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:20:31 PM MST,Teacher 4,29,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:21:47 PM MST,Teacher 4,30,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:23:37 PM MST,Teacher 4,31,Normal story,:|,I'm okay,Math is fine.,No,NA,No +1,2019/01/31 3:57:35 PM MST,Teacher 4,39,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 3:58:50 PM MST,Teacher 2,41,Math story,:|,Not good,Math is hard.,Yes,Yes,Yes +1,2019/01/31 3:59:47 PM MST,Teacher 2,41,Math story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:00:52 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:03:19 PM MST,Teacher 2,41,Math story,:|,"Not just good, I'm great!",Math is fine.,sometimes,Yes,Yes +1,2019/01/31 4:03:53 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:04:54 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:05:48 PM MST,Teacher 2,41,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:06:26 PM MST,Teacher 2,41,Math story,:(,Not good,Math is hard.,Yes,No,Yes +1,2019/01/31 4:07:07 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,sometimes,No,Yes +1,2019/01/31 4:07:41 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:08:24 PM MST,Teacher 2,41,Math story,:(,Not good,Math is hard.,Yes,Yes,Yes +1,2019/01/31 4:15:16 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,Yes,Yes +1,2019/01/31 4:16:18 PM MST,Teacher 2,41,Math story,:(,"Not just good, I'm great!",Math is easy.,Yes,No,Yes +1,2019/01/31 4:22:01 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:23:37 PM MST,Teacher 2,41,Math story,:(,I'm good at math,Math is fine.,NA,Yes,NA +1,2019/01/31 4:24:30 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/31 4:25:16 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +1,2019/01/31 4:25:58 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:26:52 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:27:31 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:28:38 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:29:29 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is easy.,sometimes,No,Yes +1,2019/01/31 4:30:06 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:30:40 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/31 4:31:10 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/31 4:31:55 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +1,2019/01/31 4:33:03 PM MST,Teacher 2,41,Math story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:50:54 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:51:39 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:52:39 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:53:41 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:54:19 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:55:08 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:56:03 PM MST,Teacher 3,44,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:56:54 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:58:01 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/31 4:58:36 PM MST,Teacher 3,44,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:59:15 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:01:28 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +1,2019/01/31 5:01:58 PM MST,Teacher 3,44,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:40:20 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:41:18 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:41:47 PM MST,Teacher 3,44,Normal story,:(,I'm good at math,Math is easy.,No,No,No +1,2019/01/31 5:44:15 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:48:51 PM MST,Teacher 3,NA,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:50:49 PM MST,Teacher 3,44,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:53:20 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,NA,NA,NA +1,2019/01/31 5:53:57 PM MST,Teacher 3,44,Normal story,:(,I'm good at math,Math is fine.,No,Yes,No +1,2019/01/31 5:55:05 PM MST,Teacher 3,44,Normal story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:55:44 PM MST,Teacher 3,44,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:09:58 PM MST,Teacher 3,13,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:10:19 PM MST,Teacher 3,18,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:10:39 PM MST,Teacher 3,11,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:11:00 PM MST,Teacher 3,22,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:11:20 PM MST,Teacher 3,5,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:11:41 PM MST,Teacher 3,6,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:12:13 PM MST,Teacher 3,17,Normal story,:|,I'm okay,Math is hard.,sometimes,kind of,Yes +2,2019/02/02 2:12:31 PM MST,Teacher 3,3,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:12:52 PM MST,Teacher 3,27,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:13:19 PM MST,Teacher 3,23,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:13:43 PM MST,Teacher 3,9,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:14:08 PM MST,Teacher 3,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:14:28 PM MST,Teacher 3,29,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:14:50 PM MST,Teacher 3,12,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:15:08 PM MST,Teacher 3,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:15:31 PM MST,Teacher 3,19,Normal story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 2:15:53 PM MST,Teacher 3,21,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:16:31 PM MST,Teacher 3,10,Normal story,:|,I'm okay,NA,No,No,No +2,2019/02/02 2:16:52 PM MST,Teacher 3,7,Normal story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:17:16 PM MST,Teacher 3,4,Normal story,:|,I'm good at math,Math is fine.,NA,No,NA +2,2019/02/02 2:17:40 PM MST,Teacher 3,8,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:01 PM MST,Teacher 3,26,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:21 PM MST,Teacher 3,28,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:42 PM MST,Teacher 3,24,Normal story,:(,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:19:02 PM MST,Teacher 3,15,Normal story,:(,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:19:20 PM MST,Teacher 3,20,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:19:39 PM MST,Teacher 3,1,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:20:05 PM MST,Teacher 3,21,Normal story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:20:33 PM MST,Teacher 4,15,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:21:35 PM MST,Teacher 4,13,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:21:53 PM MST,Teacher 4,17,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:22:17 PM MST,Teacher 4,6,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:22:42 PM MST,Teacher 4,18,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:23:04 PM MST,Teacher 4,7,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +2,2019/02/02 2:23:26 PM MST,Teacher 4,16,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:23:51 PM MST,Teacher 4,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:38:06 PM MST,Teacher 4,30,Normal story,NA,NA,NA,NA,NA,NA +2,2019/02/02 2:38:24 PM MST,Teacher 4,22,Normal story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:38:50 PM MST,Teacher 4,23,Normal story,:(,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:39:31 PM MST,Teacher 4,5,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:39:51 PM MST,Teacher 4,24,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:40:09 PM MST,Teacher 4,27,Normal story,:|,I'm okay,Math is fine.,No,Yes,No +2,2019/02/02 2:40:27 PM MST,Teacher 4,11,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:40:52 PM MST,Teacher 4,10,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:41:12 PM MST,Teacher 4,25,Normal story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:41:33 PM MST,Teacher 4,26,Normal story,:|,Not good,Math is hard.,Yes,No,Yes +2,2019/02/02 2:41:51 PM MST,Teacher 4,4,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:42:28 PM MST,Teacher 4,1,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:42:59 PM MST,Teacher 4,19,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:43:18 PM MST,Teacher 4,28,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:43:39 PM MST,Teacher 4,29,Normal story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:43:58 PM MST,Teacher 4,3,Normal story,:),"Not just good, I'm great!",Math is easy.,Yes,No,Yes +2,2019/02/02 2:44:13 PM MST,Teacher 4,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:44:30 PM MST,Teacher 4,20,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:44:48 PM MST,Teacher 4,8,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:51:18 PM MST,Teacher 1,4,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:51:39 PM MST,Teacher 1,30,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:52:35 PM MST,Teacher 1,8,Math story,:(,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:53:04 PM MST,Teacher 1,16,Math story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:53:32 PM MST,Teacher 1,27,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:53:55 PM MST,Teacher 1,14,Math story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +2,2019/02/02 2:54:12 PM MST,Teacher 1,26,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:54:32 PM MST,Teacher 1,31,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:54:54 PM MST,Teacher 1,13,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:55:21 PM MST,Teacher 1,21,Math story,:|,I'm okay,Math is fine.,NA,No,NA +2,2019/02/02 2:55:39 PM MST,Teacher 1,23,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:55:56 PM MST,Teacher 1,11,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:56:11 PM MST,Teacher 1,6,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:56:30 PM MST,Teacher 1,25,Math story,:),I'm good at math,Math is easy.,Yes,No,Yes +2,2019/02/02 2:56:50 PM MST,Teacher 1,2,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:57:04 PM MST,Teacher 1,18,Math story,:|,I'm okay,Math is hard.,No,No,No +2,2019/02/02 2:57:20 PM MST,Teacher 1,7,Math story,:|,"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 2:57:35 PM MST,Teacher 1,19,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:57:53 PM MST,Teacher 1,24,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:58:09 PM MST,Teacher 1,15,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:58:27 PM MST,Teacher 1,10,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:58:42 PM MST,Teacher 1,22,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:59:00 PM MST,Teacher 1,3,Math story,:),I'm good at math,Math is fine.,No,Yes,No +2,2019/02/02 2:59:50 PM MST,Teacher 1,1,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:00:04 PM MST,Teacher 1,20,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:00:21 PM MST,Teacher 1,29,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:01:01 PM MST,Teacher 1,12,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:01:22 PM MST,Teacher 1,5,Math story,:),"Not just good, I'm great!",Math is easy.,Yes,No,Yes +2,2019/02/02 3:01:58 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:02:28 PM MST,Teacher 2,NA,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:03:05 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:03:22 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:03:38 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 3:03:56 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:04:11 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:04:26 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,Yes,Yes,Yes +2,2019/02/02 3:04:46 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 3:05:14 PM MST,Teacher 2,NA,Math story,:(,Not good,Math is hard.,Yes,Yes,Yes +2,2019/02/02 3:05:37 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:06:11 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:06:51 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,NA,No,NA +2,2019/02/02 3:07:10 PM MST,Teacher 2,NA,Math story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:07:50 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 3:08:40 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:08:58 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 3:09:26 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:09:48 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:10:15 PM MST,Teacher 2,NA,Math story,:(,"Not just good, I'm great!",Math is fine.,Yes,No,Yes +2,2019/02/02 3:10:33 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 3:10:49 PM MST,Teacher 2,NA,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:11:17 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,sometimes,Yes,Yes +2,2019/02/02 3:11:35 PM MST,Teacher 2,NA,Math story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:11:54 PM MST,Teacher 2,NA,Math story,:(,Not good,Math is hard.,Yes,No,Yes diff --git a/docs/_site/projects/week-8/data/mosquito_nets.csv b/docs/_site/projects/week-8/data/mosquito_nets.csv new file mode 100644 index 00000000..007122a7 --- /dev/null +++ b/docs/_site/projects/week-8/data/mosquito_nets.csv @@ -0,0 +1,1753 @@ +id,net,net_num,malaria_risk,income,health,household,eligible,temperature,resistance +1,TRUE,1,33,781,56,2,FALSE,21.1,59 +2,FALSE,0,42,974,57,4,FALSE,26.5,73 +3,FALSE,0,80,502,15,3,FALSE,25.6,65 +4,TRUE,1,34,671,20,5,TRUE,21.3,46 +5,FALSE,0,44,728,17,5,FALSE,19.2,54 +6,FALSE,0,25,1050,48,1,FALSE,25.3,34 +7,TRUE,1,19,1146,65,3,FALSE,27.4,45 +8,FALSE,0,35,1093,75,5,FALSE,29.8,65 +9,FALSE,0,32,1037,60,3,FALSE,27.6,55 +10,FALSE,0,40,828,36,3,FALSE,21.3,54 +11,FALSE,0,30,889,75,6,FALSE,17.4,33 +12,TRUE,1,14,1133,62,3,FALSE,18.9,39 +13,TRUE,1,31,807,42,4,FALSE,27.6,37 +14,FALSE,0,34,950,53,3,FALSE,24,53 +15,FALSE,0,22,1195,90,1,FALSE,24.5,34 +16,TRUE,1,54,594,29,5,TRUE,25.5,55 +17,TRUE,1,23,936,47,2,FALSE,26.1,32 +18,FALSE,0,41,816,30,1,FALSE,17.7,73 +19,FALSE,0,37,962,55,2,FALSE,26.7,54 +20,TRUE,1,65,431,6,6,TRUE,26.8,38 +21,FALSE,0,59,760,36,5,FALSE,28.7,51 +22,FALSE,0,59,655,30,4,FALSE,23.6,43 +23,FALSE,0,41,896,45,3,FALSE,25.9,53 +24,TRUE,1,21,1033,64,7,FALSE,23.4,51 +25,FALSE,0,25,1115,62,3,FALSE,27.3,33 +26,FALSE,0,27,1139,75,4,FALSE,30.7,37 +27,TRUE,1,23,967,71,3,FALSE,21.1,52 +28,TRUE,1,26,840,37,3,FALSE,17.8,71 +29,FALSE,0,35,946,49,2,FALSE,22.7,63 +30,FALSE,0,50,698,25,2,FALSE,22.4,39 +31,TRUE,1,50,580,37,6,TRUE,20.3,59 +32,FALSE,0,50,762,20,5,FALSE,26.2,47 +33,TRUE,1,29,894,53,4,FALSE,26.7,52 +34,FALSE,0,30,907,40,4,FALSE,20.3,51 +35,FALSE,0,66,682,22,1,FALSE,23.2,84 +36,TRUE,1,27,829,67,3,FALSE,22.5,31 +37,FALSE,0,51,772,41,4,FALSE,24.5,49 +38,FALSE,0,48,730,55,2,FALSE,22.9,23 +39,FALSE,0,32,984,51,2,FALSE,24.4,56 +40,TRUE,1,21,1016,40,2,FALSE,22.7,63 +41,FALSE,0,76,641,56,2,FALSE,26.7,68 +42,FALSE,0,59,656,41,3,FALSE,27.1,21 +43,TRUE,1,21,963,53,3,FALSE,18.7,53 +44,TRUE,1,35,840,41,2,FALSE,26.6,70 +45,FALSE,0,25,1110,78,2,FALSE,23.2,42 +46,TRUE,1,31,737,76,2,FALSE,16.8,45 +47,FALSE,0,48,827,52,2,FALSE,25.3,47 +48,FALSE,0,52,810,48,3,FALSE,26.3,53 +49,TRUE,1,29,857,46,2,FALSE,24,57 +50,TRUE,1,13,1307,67,5,FALSE,21.8,66 +51,TRUE,1,26,915,56,1,FALSE,25.7,46 +52,FALSE,0,39,826,59,3,FALSE,18,50 +53,FALSE,0,46,825,41,4,FALSE,18.7,82 +54,FALSE,0,52,864,49,1,FALSE,29.8,54 +55,FALSE,0,26,1053,64,3,FALSE,22,50 +56,FALSE,0,36,822,33,2,FALSE,23.8,29 +57,FALSE,0,53,631,15,1,FALSE,18.9,48 +58,FALSE,0,27,1000,52,4,FALSE,22.1,45 +59,FALSE,0,48,766,60,5,FALSE,20.3,47 +60,FALSE,0,37,893,52,2,FALSE,24.6,40 +61,FALSE,0,21,1130,55,3,FALSE,22.1,38 +62,FALSE,0,19,1222,65,1,FALSE,23,38 +63,FALSE,0,35,1036,69,2,FALSE,30.8,45 +64,FALSE,0,49,817,35,2,FALSE,23.6,67 +65,FALSE,0,61,743,26,4,FALSE,27.7,62 +66,FALSE,0,19,1293,82,3,FALSE,25.5,43 +67,FALSE,0,36,732,21,4,FALSE,19.6,24 +68,FALSE,0,40,869,52,4,FALSE,26.1,36 +69,TRUE,1,27,735,31,4,FALSE,18.6,41 +70,TRUE,1,14,1194,70,3,FALSE,19.2,49 +71,TRUE,1,13,1259,61,4,FALSE,24.9,38 +72,FALSE,0,61,763,35,3,FALSE,25.7,76 +73,FALSE,0,43,789,43,4,FALSE,21.4,44 +74,TRUE,1,15,1235,88,1,FALSE,25.4,31 +75,FALSE,0,27,1003,39,3,FALSE,23.5,46 +76,FALSE,0,38,796,43,2,FALSE,20.7,34 +77,FALSE,0,45,934,64,2,FALSE,28.9,50 +78,FALSE,0,24,1047,71,3,FALSE,17.2,51 +79,TRUE,1,30,812,44,2,FALSE,24.4,53 +80,FALSE,0,26,960,35,1,FALSE,24,25 +81,FALSE,0,29,1044,58,2,FALSE,26.7,51 +82,FALSE,0,38,927,55,3,FALSE,24.8,52 +83,TRUE,1,14,1229,77,3,FALSE,24.4,28 +84,FALSE,0,31,1152,83,4,FALSE,31.2,61 +85,TRUE,1,13,1270,78,1,FALSE,18.5,59 +86,TRUE,1,19,1137,59,3,FALSE,21.1,80 +87,FALSE,0,45,704,30,7,FALSE,17.1,50 +88,FALSE,0,49,830,44,5,FALSE,27.3,48 +89,TRUE,1,58,666,44,5,TRUE,32,49 +90,FALSE,0,41,929,37,2,FALSE,30.4,49 +91,FALSE,0,24,1041,69,1,FALSE,21.9,22 +92,FALSE,0,38,909,67,3,FALSE,27.7,24 +93,FALSE,0,43,885,35,2,FALSE,29.1,47 +94,FALSE,0,61,765,45,3,FALSE,31.5,39 +95,TRUE,1,20,1082,71,2,FALSE,24.4,48 +96,FALSE,0,30,781,39,2,FALSE,17.9,18 +97,FALSE,0,27,927,56,4,FALSE,19.2,27 +98,FALSE,0,27,945,24,1,FALSE,23.4,32 +99,TRUE,1,13,1422,97,3,FALSE,25.6,61 +100,TRUE,1,26,969,65,3,FALSE,30,32 +101,FALSE,0,39,845,35,3,FALSE,25.4,36 +102,TRUE,1,20,1106,94,2,FALSE,22.9,49 +103,TRUE,1,44,582,36,3,FALSE,19.9,43 +104,TRUE,1,20,986,44,6,FALSE,20.9,50 +105,FALSE,0,42,902,29,3,FALSE,23.4,80 +106,TRUE,1,24,910,53,5,FALSE,25,32 +107,FALSE,0,61,711,53,5,FALSE,25.8,43 +108,TRUE,1,18,982,51,3,FALSE,18.1,40 +109,FALSE,0,30,935,26,3,FALSE,20.1,69 +110,FALSE,0,22,1066,55,2,FALSE,20.1,37 +111,TRUE,1,15,1211,83,5,FALSE,21.5,46 +112,TRUE,1,42,647,30,2,FALSE,20.6,59 +113,TRUE,1,30,665,32,1,FALSE,19.2,33 +114,FALSE,0,29,1053,64,6,FALSE,21.8,71 +115,FALSE,0,34,1008,66,4,FALSE,26.1,57 +116,FALSE,0,29,835,13,2,FALSE,20.8,33 +117,FALSE,0,45,890,56,3,FALSE,26.3,54 +118,FALSE,0,43,917,43,6,FALSE,30.7,45 +119,TRUE,1,13,1220,71,3,FALSE,17.7,52 +120,TRUE,1,23,961,43,2,FALSE,25.6,46 +121,FALSE,0,33,913,59,3,FALSE,18.2,63 +122,TRUE,1,40,663,40,2,FALSE,25.3,29 +123,FALSE,0,33,861,49,2,FALSE,20.2,40 +124,TRUE,1,24,958,30,2,FALSE,28.6,44 +125,TRUE,1,58,592,40,2,FALSE,30.3,34 +126,FALSE,0,32,1002,69,7,FALSE,28.5,33 +127,TRUE,1,24,959,65,2,FALSE,22.8,47 +128,FALSE,0,46,826,40,1,FALSE,26.2,46 +129,FALSE,0,57,695,44,2,FALSE,29.6,12 +130,FALSE,0,23,1261,91,4,FALSE,26.3,62 +131,TRUE,1,14,1274,62,3,FALSE,24.1,51 +132,TRUE,1,32,854,48,5,FALSE,22.5,81 +133,TRUE,1,16,1246,81,3,FALSE,24,57 +134,TRUE,1,27,859,51,4,FALSE,23.8,41 +135,FALSE,0,29,1176,79,3,FALSE,26.1,87 +136,FALSE,0,43,1048,55,3,FALSE,29.5,87 +137,TRUE,1,14,1222,73,4,FALSE,23.5,31 +138,FALSE,0,28,1166,57,4,FALSE,32.1,54 +139,FALSE,0,40,726,39,6,FALSE,15.6,45 +140,FALSE,0,39,942,60,3,FALSE,26.2,50 +141,FALSE,0,42,794,54,2,FALSE,18.2,51 +142,TRUE,1,15,1046,59,3,FALSE,16.4,30 +143,FALSE,0,39,887,52,1,FALSE,23.3,52 +144,FALSE,0,30,1067,55,2,FALSE,25.8,72 +145,FALSE,0,49,758,43,4,FALSE,22.5,45 +146,FALSE,0,55,707,47,2,FALSE,22.1,45 +147,FALSE,0,39,873,44,2,FALSE,19.9,67 +148,TRUE,1,22,1142,83,1,FALSE,28.4,60 +149,FALSE,0,30,920,45,2,FALSE,26.1,25 +150,TRUE,1,20,998,40,4,FALSE,21.3,51 +151,TRUE,1,22,1124,60,4,FALSE,26.9,71 +152,FALSE,0,44,852,41,3,FALSE,22.1,67 +153,TRUE,1,19,1051,71,2,FALSE,18.3,53 +154,FALSE,0,24,1080,71,2,FALSE,18.4,58 +155,TRUE,1,11,1396,97,1,FALSE,23.6,31 +156,TRUE,1,44,750,42,2,FALSE,29.2,52 +157,TRUE,1,12,1226,73,3,FALSE,17.7,34 +158,FALSE,0,42,785,34,2,FALSE,22.1,41 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a/slides/data/world_happiness.csv b/docs/_site/projects/week-8/data/world_happiness.csv similarity index 100% rename from slides/data/world_happiness.csv rename to docs/_site/projects/week-8/data/world_happiness.csv diff --git a/docs/_site/projects/week-8/happiness.Rmd b/docs/_site/projects/week-8/happiness.Rmd new file mode 100644 index 00000000..a7cd729a --- /dev/null +++ b/docs/_site/projects/week-8/happiness.Rmd @@ -0,0 +1,50 @@ +--- +title: "Happiness" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +world_happiness <- read_csv("data/world_happiness.csv") %>% + mutate(latin_america = region == "Latin America & Caribbean") +``` + +# Indicator variables + +```{r} +model_life_school_region <- lm(happiness_score ~ life_expectancy + + school_enrollment + region, + data = world_happiness) +tidy(model_life_school_region) +``` + +```{r} +model_life_school_la <- lm(happiness_score ~ life_expectancy + latin_america, + data = world_happiness) +tidy(model_life_school_la) +``` + +```{r} +ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + + geom_point(aes(color = latin_america)) + + geom_abline(slope = 0.1023494, intercept = -2.0770858, color = "blue", linewidth = 2) + + geom_abline(slope = 0.1023494, intercept = -2.0770858 + 0.6234255, + color = "orange", linewidth = 2) +``` + +```{r} +model_life_school_la_int <- lm(happiness_score ~ life_expectancy + latin_america + + life_expectancy * latin_america, + data = world_happiness) +tidy(model_life_school_la_int) +``` + +```{r} +ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + + geom_point(aes(color = latin_america)) + + geom_abline(slope = 0.10154408, intercept = -2.01948544, color = "blue", linewidth = 2) + + geom_abline(slope = 0.10154408 + 0.02884127, intercept = -2.01948544 + -1.51554651, + color = "darkred", linewidth = 2) +``` diff --git a/docs/_site/projects/week-8/hotdogs.Rmd b/docs/_site/projects/week-8/hotdogs.Rmd new file mode 100644 index 00000000..8bd4ef70 --- /dev/null +++ b/docs/_site/projects/week-8/hotdogs.Rmd @@ -0,0 +1,36 @@ +--- +title: "Hot dogs" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# This way is hard to read and can be miserable +hotdogs <- tibble(price = c(2.00, 2.35, 2.35, 2.70), + cheese = c(FALSE, TRUE, FALSE, TRUE), + chili = c(FALSE, FALSE, TRUE, TRUE)) + +# This way lets you specify tables row-wise (hence t*r*ibble) and is far easier to read +hotdogs <- tribble( + ~price, ~cheese, ~chili, + 2.00, FALSE, FALSE, + 2.35, TRUE, FALSE, + 2.35, FALSE, TRUE, + 2.70, TRUE, TRUE +) + +model <- lm(price ~ cheese + chili + cheese * chili, data = hotdogs) +``` + +```{r} +tidy(model) +``` + +```{r} +tidy(model) %>% + select(term, estimate) %>% + mutate(estimate = round(estimate, 2)) +``` + diff --git a/docs/_site/projects/week-8/math.Rmd b/docs/_site/projects/week-8/math.Rmd new file mode 100644 index 00000000..a352ba69 --- /dev/null +++ b/docs/_site/projects/week-8/math.Rmd @@ -0,0 +1,78 @@ +--- +title: "Effect of reading a math story on math anxiety" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(scales) # For things like percent() + +results <- read_csv("data/math_survey.csv") %>% + mutate(anxious_num = recode(math_anxiety, Yes = 1, No = 0)) %>% + mutate(treatment = fct_relevel(treatment, "Normal story")) +``` + + +# Difference-in-differences by hand + +```{r} +group_props <- results %>% + drop_na(math_anxiety) %>% + group_by(wave, treatment, math_anxiety) %>% + summarize(num = n()) %>% + group_by(wave, treatment) %>% + mutate(total = sum(num), + prop_math_anxious = num / total) %>% + filter(math_anxiety == "Yes") +group_props +``` + +We care about the difference in the differences: + +$$ +(\text{After} - \text{before})_{\text{treatment}} - (\text{After} - \text{before})_{\text{control}} +$$ + +```{r} +after_treatment <- group_props %>% + filter(treatment == "Math story", wave == 2) %>% + pull(prop_math_anxious) + +# TODO: Calculate these other values and make a table with cells for A, B, C, +# and D; then calculate the difference in differences + +# before_treatment +# after_control +# before_control +``` + +```{r} +dd_effect <- (after_treatment - before_treatment) - (after_control - before_control) +dd_effect +``` + + +# Difference-in-differences with regression + +```{r} +# TODO: Calculate the same effect using regression instead of a 2x2 matrix +``` + + +# Plot + +```{r} +ggplot(group_props, aes(x = as.factor(wave), + y = prop_math_anxious, + color = treatment)) + + geom_line(aes(group = treatment)) #+ + # annotate(geom = "segment", x = "1", xend = "2", + # y = before_treatment, yend = after_treatment - dd_effect, + # linetype = "dashed", color = "grey50") + + # annotate(geom = "segment", x = "2", xend = "2", + # y = after_treatment, yend = after_treatment - dd_effect, + # linetype = "dotted", color = "blue") + + # annotate(geom = "label", x = "2", y = 0.42, label = "Program effect", + # size = 3) +``` diff --git a/docs/_site/projects/week-8/math_answers.Rmd b/docs/_site/projects/week-8/math_answers.Rmd new file mode 100644 index 00000000..e54d7ebf --- /dev/null +++ b/docs/_site/projects/week-8/math_answers.Rmd @@ -0,0 +1,109 @@ +--- +title: "Effect of reading a math story on math anxiety" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(scales) # For things like percent() + +results <- read_csv("data/math_survey.csv") %>% + mutate(anxious_num = recode(math_anxiety, Yes = 1, No = 0)) %>% + mutate(treatment = fct_relevel(treatment, "Normal story")) +``` + + +# Difference-in-differences by hand + +```{r} +group_props <- results %>% + drop_na(math_anxiety) %>% + group_by(wave, treatment, math_anxiety) %>% + summarize(num = n()) %>% + group_by(wave, treatment) %>% + mutate(total = sum(num), + prop_math_anxious = num / total) %>% + filter(math_anxiety == "Yes") +group_props +``` + + +We care about the difference in the differences: + +$$ +(\text{After} - \text{before})_{\text{treatment}} - (\text{After} - \text{before})_{\text{control}} +$$ + +```{r} +after_treatment <- group_props %>% + filter(treatment == "Math story", wave == 2) %>% + pull(prop_math_anxious) + +before_treatment <- group_props %>% + filter(treatment == "Math story", wave == 1) %>% + pull(prop_math_anxious) + +after_control <- group_props %>% + filter(treatment == "Normal story", wave == 2) %>% + pull(prop_math_anxious) + +before_control <- group_props %>% + filter(treatment == "Normal story", wave == 1) %>% + pull(prop_math_anxious) +``` + + +```{r} +dd_effect <- (after_treatment - before_treatment) - (after_control - before_control) +dd_effect +``` + +# Difference-in-differences with regression and interaction terms + +```{r} +dd_regression <- lm(anxious_num ~ wave + treatment + wave * treatment, + data = results) +tidy(dd_regression) +``` + + +# Plot + +```{r} +hypothetical_trend <- after_control - before_control + +ggplot(group_props, + aes(x = as.factor(wave), y = prop_math_anxious, + color = treatment, group = treatment)) + + geom_line(size = 2) + + geom_segment(aes(x = 1, y = before_treatment, xend = 2, + yend = (before_treatment + hypothetical_trend)), + linetype = "dotted", color = "grey10") + + geom_segment(aes(x = 2, xend = 2, + y = (before_treatment + hypothetical_trend - .005), + yend = after_treatment + 0.005), + color = "#BD1550", size = 2) + + annotate("label", x = 1.5, y = .27, label = "Normal story", + size = 3.5, color = "#490A3D") + + annotate("label", x = 1.5, y = .40, label = "Math story", + size = 3.5, color = "#8A9B0F") + + annotate("label", x = 2.05, y = (before_treatment + hypothetical_trend), + label = "Predicted trend\nwithout story", + size = 3.5, color = "grey10", hjust = 0) + + annotate("label", x = 2.05, + y = (before_treatment + hypothetical_trend) - (abs(dd_effect) / 2), + label = paste0("Effect of story\non anxiety: ", percent(dd_effect)), + size = 3.5, color = "#BD1550", hjust = 0, fontface = "bold") + + scale_color_manual(values = c("Math story" = "#8A9B0F", "Normal story" = "#490A3D")) + + scale_y_continuous(labels = percent_format(accuracy = 1)) + + scale_x_discrete(labels = c("Before", "After")) + + guides(color = "none") + + coord_cartesian(clip = "off", xlim = c(1.5, 1.85)) + + labs(x = NULL, y = "Proportion of class feeling math anxiety", + title = "Reading a story about math reduces math anxiety", + subtitle = "Experiment in four 4th grade classes") + + theme_minimal() + + theme(plot.title = element_text(face = "bold", size = rel(1.6))) +``` + diff --git a/docs/_site/projects/week-8/mlda.Rmd b/docs/_site/projects/week-8/mlda.Rmd new file mode 100644 index 00000000..dd901691 --- /dev/null +++ b/docs/_site/projects/week-8/mlda.Rmd @@ -0,0 +1,96 @@ +--- +title: "Effect of lowering the minimum legal drinking age on mortality" +output: html_document +--- + +## Load and clean data + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) +library(tigris) + +deaths_raw <- read_csv("data/deaths.csv") +``` + +The original data has a column called `fips` that contains id numbers for each state based on the Federal Information Processing Standards (FIPS) system ([see this](https://en.wikipedia.org/wiki/Federal_Information_Processing_Standard_state_code) for a list of all state FIPS codes). We can add state names and abbreviations to the dataset by merging a lookup table of FIPS codes (`fips_codes`) from the **tigris** package: + +```{r} +fips <- fips_codes %>% + mutate(state_code = as.numeric(state_code)) %>% + group_by(state_code) %>% + slice(1) %>% + select(-county, -county_code) +``` + +```{r} +deaths <- deaths_raw %>% + mutate(state = as.numeric(state)) %>% + left_join(fips, by = c("state" = "state_code")) +``` + + +## Simple diff-in-diff with Alabama and Arkansas + +```{r} +# TODO: Make a new dataset based on `deaths` that only contains Alabama and Arkansas +# TODO: Make a new column called `after_change` that is TRUE (or 1) if year >= 1975 +# TODO: Make a new column called `is_alabama` that is TRUE (or 1) if the state is Alabama +# TODO: Filter the data so that it (1) only includes years <= 1983, (2) only includes the 18-20 age group (agegr), and (3) includes only the death type (dtype) of "all" +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average mortality rate (mrate) in Alabama and Arkansas before and after the change (after_change) +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +``` + +$$ +\begin{aligned} +\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ +&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) +\end{aligned} +$$ + +```{r} +# TODO: Using the data for only Alabama and Arkansas, create a plot that shows +# the mortality rate over time, colored by state. Add a vertical line at 1975. +# Determine if the two states' trends are parallel pre-1975. +``` + + +## TWFE with all states + +```{r} +# TODO: Create a new dataset based on `deaths_raw` that (1) only includes years +# <= 1983, (2) only includes the 18-20 age group (agegr), and (3) includes only +# the death type (dtype) of "all" +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +# +# HINT: The year column is currently numeric (like 1981, 1982, etc.), and R +# thinks that it's truly numeric (with possible values like 1980.432, etc.). To +# treat the year column like a categorical fixed effect, you need to make it a +# factor, so use factor(year) in your model code (or use mutate() above where +# you filter the data to create a factor version of the year column) +``` + +$$ +\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +$$ + +```{r} +# TODO: Create another TWFE model that incorporates state-specific time trends by including the interaction of state and year: +``` + +$$ +\begin{aligned} +\text{Mortality}\ =\ & \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +\\ +&\beta_4\ (\text{State} \times \text{Year}) +\end{aligned} +$$ diff --git a/docs/_site/projects/week-8/mlda_answers.Rmd b/docs/_site/projects/week-8/mlda_answers.Rmd new file mode 100644 index 00000000..16d97d7b --- /dev/null +++ b/docs/_site/projects/week-8/mlda_answers.Rmd @@ -0,0 +1,112 @@ +--- +title: "Effect of lowering the minimum legal drinking age on mortality" +output: html_document +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) +library(tigris) + +# Mastering 'Metrics R code +# - https://jrnold.github.io/masteringmetrics/ +# Original Stata file: +# - http://masteringmetrics.com/wp-content/uploads/2015/01/deaths.dta +# Original Stata .do file: +# - http://masteringmetrics.com/wp-content/uploads/2015/01/analysis.do +deaths_raw <- read_csv("data/deaths.csv") +``` + +```{r} +fips <- fips_codes %>% + mutate(state_code = as.numeric(state_code)) %>% + group_by(state_code) %>% + slice(1) %>% + select(-county, -county_code) +``` + +```{r} +deaths <- deaths_raw %>% + mutate(state = as.numeric(state)) %>% + left_join(fips, by = c("state" = "state_code")) +``` + +```{r} +al_ar <- deaths %>% + filter(state_name %in% c("Alabama", "Arkansas")) %>% + mutate(after_change = year >= 1975, + is_alabama = state_name == "Alabama") %>% + filter(year <= 1983, agegr == "18-20 yrs", dtype == "all") +``` + +```{r} +ggplot(al_ar, aes(x = year, y = mrate, color = state_name)) + + geom_line() +``` + +```{r} +al_ar %>% + group_by(is_alabama, after_change) %>% + summarize(avg_mrate = mean(mrate)) +``` + +$$ +\begin{aligned} +\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ +&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) +\end{aligned} +$$ + +```{r} +model_al_ar <- lm(mrate ~ after_change + is_alabama + + (after_change * is_alabama), + data = al_ar) +tidy(model_al_ar) +``` + +```{r} +deaths_filtered <- deaths %>% + filter(year <= 1983, agegr == "18-20 yrs", dtype == "all") +``` + +$$ +\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +$$ + +```{r} +model <- lm(mrate ~ legal + state_name + year, + data = deaths_filtered) +tidy(model) + +model_fe <- feols(mrate ~ legal | state_name + year, + cluster = ~ state_name, + data = deaths_filtered, + ssc = ssc(fixef.K = "full")) +tidy(model_fe) +``` + +```{r} +ggplot(deaths_filtered, aes(x = year, y = mrate, color = state_name)) + + geom_line() +``` + +$$ +\begin{aligned} +\text{Mortality}\ =\ & \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +\\ +&\beta_4\ (\text{State} \times \text{Year}) +\end{aligned} +$$ + +```{r} +model2 <- lm(mrate ~ legal + state_name + factor(year) + state_name:year, + data = deaths_filtered) +tidy(model2) + +model2_fe <- feols(mrate ~ legal + i(state_name, factor(year)) | state_name + year, + cluster = ~ state_name, + data = deaths_filtered, + ssc = ssc(fixef.K = "full")) +tidy(model2) +``` + diff --git a/docs/_site/projects/week-8/organ-donations.Rmd b/docs/_site/projects/week-8/organ-donations.Rmd new file mode 100644 index 00000000..4d9b4353 --- /dev/null +++ b/docs/_site/projects/week-8/organ-donations.Rmd @@ -0,0 +1,62 @@ +--- +title: "Organ donations" +output: html_document +--- + +## Load and clean data + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) + +organ_donations_raw <- read_csv("data/organ_donations.csv") +``` + +```{r} +# TODO: Make a dataset based on `organ_donations` that only contains California and New Jersey +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `is_california` that is TRUE (or 1) if the state is California +``` + + +## Simple diff-in-diff + +```{r} +# TODO: Using the data for only California and New Jersey, create a plot that shows +# the donation rate over time, colored by state. Add a vertical line at Q22011 (or Quarter_num = 3). +# Determine if the two states' trends are parallel before the change. +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average donation rate in +# California and New Jersey before and after the change in California's policy +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +``` + +$$ +\begin{aligned} +\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ +&\ \beta_3\ (\text{California} \times \text{After Q22011}) +\end{aligned} +$$ + + +## Two-way fixed effects + +```{r} +# TODO: Create a new dataset based on `organ_donations_raw` +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `Treated` that is TRUE (or 1) if the state is California and After is TRUE/1 +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +``` + +$$ +\text{Donation rate}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{After} +$$ diff --git a/docs/_site/projects/week-8/organ-donations_answers.Rmd b/docs/_site/projects/week-8/organ-donations_answers.Rmd new file mode 100644 index 00000000..84cd5e05 --- /dev/null +++ b/docs/_site/projects/week-8/organ-donations_answers.Rmd @@ -0,0 +1,112 @@ +--- +title: "Organ donations" +output: html_document +--- + +## Load and clean data + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) + +organ_donations_raw <- read_csv("data/organ_donations.csv") +``` + +```{r} +# TODO: Make a dataset based on `organ_donations` that only contains California and New Jersey +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `is_california` that is TRUE (or 1) if the state is California + +organ_ca_nj <- organ_donations_raw %>% + filter(State %in% c("California", "New Jersey")) %>% + mutate(After = Quarter %in% c("Q32011", "Q42011", "Q12012"), + is_california = State == "California") +``` + + +## Simple diff-in-diff + +```{r} +# TODO: Using the data for only California and New Jersey, create a plot that shows +# the donation rate over time, colored by state. Add a vertical line at Q22011 (or Quarter_num = 3). +# Determine if the two states' trends are parallel before the change. +ggplot(organ_ca_nj, aes(x = Quarter_Num, y = Rate, color = State)) + + geom_vline(xintercept = 3.5) + + geom_line() +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average donation rate in +# California and New Jersey before and after the change in California's policy +diffs <- organ_ca_nj %>% + group_by(After, State) %>% + summarize(mean_rate = mean(Rate)) + +before_treatment <- diffs %>% + filter(After == FALSE, State == "California") %>% + pull(mean_rate) + +before_control <- diffs %>% + filter(After == FALSE, State == "New Jersey") %>% + pull(mean_rate) + +after_treatment <- diffs %>% + filter(After == TRUE, State == "California") %>% + pull(mean_rate) + +after_control <- diffs %>% + filter(After == TRUE, State == "New Jersey") %>% + pull(mean_rate) + +diff_treatment_before_after <- after_treatment - before_treatment +diff_treatment_before_after + +diff_control_before_after <- after_control - before_control +diff_control_before_after + +diff_diff <- diff_treatment_before_after - diff_control_before_after +diff_diff +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +model_diff_diff <- lm(Rate ~ is_california + After + (is_california * After), + data = organ_ca_nj) +tidy(model_diff_diff) +``` + +$$ +\begin{aligned} +\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ +&\ \beta_3\ (\text{California} \times \text{After Q22011}) +\end{aligned} +$$ + + +## Two-way fixed effects + +```{r} +# TODO: Create a new dataset based on `organ_donations_raw` +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `Treated` that is TRUE (or 1) if the state is California and After is TRUE/1 + +organ <- organ_donations_raw %>% + mutate(After = Quarter %in% c("Q32011", "Q42011", "Q12012")) %>% + mutate(Treated = State == "California" & After == TRUE) +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +model_twfe <- lm(Rate ~ Treated + State + After, + data = organ) +tidy(model_twfe) + +model_twfe_nice <- feols(Rate ~ Treated | State + After, + data = organ) +tidy(model_twfe_nice) +``` + +$$ +\text{Donation rate}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{After} +$$ diff --git a/docs/_site/projects/week-8/penguins.Rmd b/docs/_site/projects/week-8/penguins.Rmd new file mode 100644 index 00000000..d4b7fce5 --- /dev/null +++ b/docs/_site/projects/week-8/penguins.Rmd @@ -0,0 +1,45 @@ +--- +title: "Penguins and interactions" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(palmerpenguins) + +penguins <- penguins %>% drop_na(sex) +``` + + +```{r} +model_basic <- lm(body_mass_g ~ flipper_length_mm + species, + data = penguins) + +tidy(model_basic) +``` + + +```{r} +basic_predictions <- augment(model_basic, penguins) + +ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) + + geom_point(aes(color = species)) + + geom_smooth(data = basic_predictions, aes(y = .fitted, color = species)) +``` + + +```{r} +model_interaction <- lm(body_mass_g ~ flipper_length_mm * species, + data = penguins) + +tidy(model_interaction) +``` + + +```{r} +ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) + + geom_point(aes(color = species)) + + geom_smooth(aes(color = species), method = "lm", se = FALSE) +``` + diff --git a/docs/_site/projects/week-8/references.bib b/docs/_site/projects/week-8/references.bib new file mode 100644 index 00000000..8391c297 --- /dev/null +++ b/docs/_site/projects/week-8/references.bib @@ -0,0 +1,62 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Andrew Heiss at 2021-10-11 15:44:16 -0400 + + +%% Saved with string encoding Unicode (UTF-8) + + + +@article{AltonjiElderTaber:2005, + author = {Joseph G. Altonji and Todd E. Elder and Christopher R. Taber}, + date-added = {2021-10-11 15:44:01 -0400}, + date-modified = {2021-10-11 15:44:01 -0400}, + doi = {10.1086/426036}, + journal = {Journal of Political Economy}, + month = {2}, + number = {1}, + pages = {151--184}, + title = {Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools}, + volume = {113}, + year = {2005}, + bdsk-url-1 = {https://doi.org/10.1086/426036}} + +@article{CinelliHazlett:2020, + author = {Carlos Cinelli and Chad Hazlett}, + date-added = {2021-10-11 15:43:53 -0400}, + date-modified = {2021-10-11 15:43:53 -0400}, + doi = {10.1111/rssb.12348}, + journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}, + month = {2}, + number = {1}, + pages = {39--67}, + rating = {0}, + read = {0}, + title = {Making Sense of Sensitivity: Extending Omitted Variable Bias}, + volume = {82}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1111/rssb.12348}} + +@article{LinPsatyKronmal:1998, + author = {D. Y. Lin and B. M. Psaty and R. A. Kronmal}, + date-added = {2021-10-11 15:43:44 -0400}, + date-modified = {2021-10-11 15:43:44 -0400}, + doi = {10.2307/2533848}, + journal = {Biometrics}, + month = {9}, + number = {3}, + pages = {948--963}, + title = {Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies}, + volume = {54}, + year = {1998}, + bdsk-url-1 = {https://doi.org/10.2307/2533848}} + +@book{MurnaneWillett:2011, + address = {Oxford}, + author = {Richard J. Murnane and John B. Willett}, + date-added = {2021-10-11 15:43:44 -0400}, + date-modified = {2021-10-11 15:43:44 -0400}, + publisher = {Oxford University Press}, + title = {Methods Matter: Improving Causal Inference in Educational and Social Science Research}, + year = {2011}} diff --git a/example/confounding-sensitivity.qmd b/docs/_site/projects/week-8/unobserved-confounding.Rmd similarity index 93% rename from example/confounding-sensitivity.qmd rename to docs/_site/projects/week-8/unobserved-confounding.Rmd index d7dd79dc..2a7f339e 100644 --- a/example/confounding-sensitivity.qmd +++ b/docs/_site/projects/week-8/unobserved-confounding.Rmd @@ -1,12 +1,16 @@ --- -title: "Unobserved confounding and sensitivity analysis" +title: "Unobserved confounding" +output: + html_document: + toc: yes +bibliography: "references.bib" +csl: "chicago-author-date.csl" +link-citations: true --- ```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, fig.align = "center", - fig.retina = 3, collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) +knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, + fig.align = "center", fig.retina = 3) ``` ```{r load-libraries, message=FALSE, warning=FALSE} @@ -22,9 +26,9 @@ set.seed(1234) # Make all random draws reproducible ## You can never close every backdoor without an experiment -Throughout the semester, we've used causal models to map out the data generating process that connects a treatment (like a program or a policy) to a social outcome. By drawing DAGs, we can ostensibly find causal effects in observational non-experimental data by using DAG logic to close backdoor paths and deal with confounding. You've even done this with [matching and inverse probability weighting](/example/matching-ipw.qmd), and you'll be doing it with quasi-experimental designs like [diff-in-diff](/example/diff-in-diff.qmd), [regression discontinuity](/example/rdd.qmd), and [instrumental variables](/example/iv.qmd). +Throughout the semester, we've used causal models to map out the data generating process that connects a treatment (like a program or a policy) to a social outcome. By drawing DAGs, we can ostensibly find causal effects in observational non-experimental data by using DAG logic to close backdoor paths and deal with confounding. You've even done this with [matching and inverse probability weighting](/example/matching-ipw/), and you'll be doing it with quasi-experimental designs like [diff-in-diff](/example/diff-in-diff/), [regression discontinuity](/example/rdd/), and [instrumental variables](/example/iv/). -However, doing observational causal inference requires a fairly strong assumption: all nodes that need to be adjusted for are observable and measurable. Let's go back to the mosquito net program example we used in the [matching and inverse probability weighting](/example/matching-ipw.qmd) example, and let's add a new node here for unobserved confounding—something unknown causes people to both use nets and causes changes in individual malaria risk. +However, doing observational causal inference requires a fairly strong assumption: all nodes that need to be adjusted for are observable and measurable. Let's go back to the mosquito net program example we used in the [matching and inverse probability weighting](/example/matching-ipw/) example, and let's add a new node here for unobserved confounding—something unknown causes people to both use nets and causes changes in individual malaria risk. ```{r build-mosquito-dag-full, fig.width=8} mosquito_dag <- dagify( @@ -100,7 +104,7 @@ Basically your goal with sensitivity analysis is to try to ruin your causal effe Our goal in this example is to estimate causal effects for two different situations: -- **The effect of a hypothetical mosquito net program on malaria risk** (which we already used in the [DAG example](/example/dags.qmd) and the [matching/IPW example](/example/matching-ipw.qmd)). This data is **fake**. There's a built-in average treatment effect of −10: using a mosquito net causes the risk of malaria to decrease by 10 points, on average. +- **The effect of a hypothetical mosquito net program on malaria risk** (which we already used in the [DAG example](/example/dags/) and the [matching/IPW example](/example/matching-ipw/)). This data is **fake**. There's a built-in average treatment effect of −10: using a mosquito net causes the risk of malaria to decrease by 10 points, on average. - **The effect of attending Catholic school on math scores.** This data is **real** and was used by @AltonjiElderTaber:2005 (and by lots of other researchers since then). A widely used econometrics textbook called [*Methods Matter*](https://global.oup.com/academic/product/methods-matter-9780199753864) [@MurnaneWillett:2011] uses this data as an example, too, and [you can access the data from Stata](https://stats.idre.ucla.edu/stata/examples/methods-matter/chapter12/). Since this isn't fake data, we actually have no idea what the true average treatment effect is. Let's find—and then ruin—these effects! @@ -108,10 +112,7 @@ Let's find—and then ruin—these effects! ## Data background -Let's quickly look at the data we'll be using. You can get the data files here—put them in a folder named `data` in an RStudio Project folder. - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) -- [{{< fa table >}} `catholic.dta`](/files/data/external_data.catholic.dta) +Let's quickly look at the data we'll be using. ### Fake mosquito net program @@ -166,12 +167,9 @@ The `.dta` file contains 25 columns, but these are the ones we'll care about for --- -Let's load the data and get started! Again, if you haven't yet, download the two datasets here: - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) -- [{{< fa table >}} `catholic.dta`](/files/data/external_data/catholic.dta) +Let's load the data and get started! -```{r load-data-fake, eval=FALSE} +```{r load-data-fake} nets <- read_csv("data/mosquito_nets.csv") school_data <- read_stata("data/catholic.dta") %>% @@ -202,29 +200,6 @@ school_data <- read_stata("data/catholic.dta") %>% )) ``` -```{r load-data-real, include=FALSE} -nets <- read_csv(here::here("files", "data", "generated_data", "mosquito_nets.csv")) - -school_data <- read_stata(here::here("files", "data", "external_data", "catholic.dta")) %>% - zap_labels() %>% - zap_formats() %>% - mutate(catholic_f = factor(catholic, labels = c("Public", "Catholic"))) %>% - mutate(inc8 = recode(faminc8, - "1" = 0, - "2" = .5, - "3" = 2, - "4" = 4, - "5" = 6.25, - "6" = 8.75, - "7" = 12.5, - "8" = 17.5, - "9" = 22.5, - "10" = 30, - "11" = 42.5, - "12" = 62.5 - )) -``` - ## Important background concepts @@ -410,9 +385,11 @@ tribble( Based on this table, our (incorrect) Catholic school effect of 0.367 standard deviations is actually somewhere between a small and medium effect. -:::{.callout-warning} +{{% div warning %}} + **QUICK IMPORTANT CAVEAT**: Technically for mathy reasons, Cohen's *d* is [not exactly comparable](https://www.researchgate.net/post/How_can_I_calculate_an_effect_size_cohens_d_preferably_from_a_linear_random_effects_model_beta) to just looking at the number of standard deviations between the averages, but it's a good way of thinking about effect sizes. If you want to be official about it, one way to get Cohen's *d* from regression output is to divide the coefficient (which is like $\bar{x}_2 - \bar{x}_1$ in the formula) by the residual standard error of the model (which is like $s$ in the formula). You can get these from `tidy()` and `glance()`: -::: + +{{% /div %}} ```{r cohens-d-from-regression} tidy(model_math_naive) @@ -431,9 +408,11 @@ net_coef / net_sigma Our official effect size for Catholic schools is thus `r catholic_coef / catholic_sigma`, which is still between a small and medium effect. For mosquito nets, the effect size is 1.2, which is very large. (Again, all these effects are technically wrong and full of confounding! We'll fix that in a minute.) -:::{.callout-warning} +{{% div warning %}} + **ANOTHER QUICK IMPORTANT CAVEAT**: Cohen's *d* (and other standardized measures of effect size) [are criticized for being too clear cut, too restrictive, and devoid of context](https://easystats.github.io/effectsize/articles/interpret.html). Cohen himself disavowed them! A 0.4 SD boost in math scores (or 4ish points) in Catholic schools might actually be groundbreaking and earth shattering for people interested in educational outcomes, despite the fact that it's considered a "small" effect. Plus, seeing huge 2+ standard deviations in the real world is going to be rare for any program or intervention—it's highly unlikely that a program will move the needle *that much* for an outcome. So don't overinterpret these rules of thumb! -::: + +{{% /div %}} So, as an alternative to thinking about absolute effects (mosquito nets reduce the risk of malaria by X points; Catholic schools boost math scores by X points), we can think about relative effects (mosquito nets reduce the risk of malaria by X standard deviations below the average; Catholic schools boost math scores by X standard deviations above the average). We can think about this as the **standardized mean difference** between the treated and untreated groups (nets vs. no nets; Catholic vs. public high schools). @@ -463,7 +442,7 @@ By controlling for income and health, we now explain 81.5% of the variation in m One way to figure this out is to calculate something called the **partial** $R^2$. To do this, we essentially fit a bunch of variations of the model and leave out individual variables one at a time and note the $R^2$ each time. That's tedious to do manually, but the `rsq.partial()` function from [the **rsq** library](https://cran.r-project.org/web/packages/rsq/) can do it for us: -```{r partial-net-r2, warning=FALSE} +```{r partial-net-r2} library(rsq) rsq.partial(model_some_controls) @@ -478,7 +457,7 @@ This isn't a 100% correct interpretation of partial $R^2$ values and there are s ## Estimation of causal effects -PHEW that was a lot of background information, but it's useful and important, so. Let's finally adjust for confounders and estimate causal effects in both the mosquito net and Catholic schools examples. We'll use [inverse probability weighting](/example/matching-ipw.qmd#inverse-probability-weighting) just because—we could also use matching or other techniques, but IPW is fun. Consult [the IPW guide](/example/matching-ipw.qmd#inverse-probability-weighting) for complete details about everything happening here. +PHEW that was a lot of background information, but it's useful and important, so. Let's finally adjust for confounders and estimate causal effects in both the mosquito net and Catholic schools examples. We'll use [inverse probability weighting](/example/matching-ipw/#inverse-probability-weighting) just because—we could also use matching or other techniques, but IPW is fun. Consult [the IPW guide](/example/matching-ipw/#inverse-probability-weighting) for complete details about everything happening here. ### Fake mosquito net program @@ -696,24 +675,23 @@ To make this easy, we can use the super useful [**tipr** package](https://github Our goal with **tipr** is to find what kind of unmeasured Z would change the causal effect enough so that its confidence interval includes 0 (and is thus no longer statistically significant) -There are a lot of other ways to use **tipr**, with different combinations of binary and continuous treatments and outcomes, but the most general way I've found (given that we work with regression so much in this class) is to use the `tip()` function. [Check out the README](https://github.com/LucyMcGowan/tipr) for examples of all the other approaches. +There are a lot of other ways to use **tipr**, with different combinations of binary and continuous treatments and outcomes, but the most general way I've found (given that we work with regression so much in this class) is to use the `lm_tip()` function. [Check out the README](https://github.com/LucyMcGowan/tipr) for examples of all the other approaches. Let's try it out! ### Fake mosquito net program -To calculate different tipping points, we need to specify the confidence intervals of our causal effect. The easiest way to do that is to use `tidy(..., conf.int = TRUE)` and then filter those results so that we're just looking at our causal effect (the upper bound of the confidence interval for `netTRUE` in this case). We can then feed those results to `tip_coef()`, which handles the sensitivity analysis for us. +To calculate different tipping points, we need to specify the confidence intervals of our causal effect. The easiest way to do that is to use `tidy(..., conf.int = TRUE)` and then filter those results so that we're just looking at our causal effect (`netTRUE` in this case). We can then feed those results to `lm_tip()`, which handles the sensitivity analysis for us. -For instance, let's pretend that there's an unmeasured confounder that has an standardized effect on the outcome of 5. For every one unit increase in this Z, malaria risk would increase by 5 points. If that was the case, how much of a difference in net usage would there be across this Z? +For instance, let's pretend that there's an unmeasured confounder that has an outcome association of 5. For every one unit increase in this Z, malaria risk would increase by 5 points. If that was the case, how much of a difference in net usage would there be across this Z? ```{r tipr-net-outcome-5} library(tipr) tidy(model_net_ate, conf.int = TRUE) %>% filter(term == "netTRUE") %>% - pull(conf.high) %>% - tip_coef(confounder_outcome_effect = 5) + lm_tip(outcome_association = 5) ``` The output of **tipr** gives us a bunch of useful information. Our confidence interval ranges from -11.5ish to -9ish. Our causal effect would get tipped (i.e. include 0) if the β in `lm(Y ~ Z)` was 5 *and* the standardized mean difference (`smd`) in Z across treated and untreated groups was 1.77. That's potentially a pretty big difference! @@ -742,8 +720,7 @@ If you don't want to think about standardized mean differences, you can think ab ```{r tipr-smd-0-5} tidy(model_net_ate, conf.int = TRUE) %>% filter(term == "netTRUE") %>% - pull(conf.high) %>% - tip_coef(exposure_confounder_effect = 0.5) + lm_tip(smd = 0.5) ``` 17.7! A 1-unit change in this confounder would need to lead to a 17.7-point change in risk. That seems big. Maybe even implausible. @@ -763,12 +740,10 @@ These two numbers—the standardized mean difference and the outcome association ```{r tipr-combinations-net, fig.width=6, fig.height=4.5} plot_stuff <- tidy(model_net_ate, conf.int = TRUE) %>% filter(term == "netTRUE") %>% - pull(conf.high) %>% - tip_coef(exposure_confounder_effect = seq(0.05, 3, by = 0.05), verbose = FALSE) + lm_tip(smd = seq(0.05, 3, by = 0.05), verbose = FALSE) -ggplot(plot_stuff, aes(x = exposure_confounder_effect, - y = abs(confounder_outcome_effect))) + - geom_line(linewidth = 1.5, color = "orange") + +ggplot(plot_stuff, aes(x = smd, y = abs(outcome_association))) + + geom_line(size = 1.5, color = "orange") + labs(x = "Standardized mean difference\nacross treated/untreated in Z\n(think of this kind of like Cohen's d)", y = "Association of unknown confounder with outcome\n(think of this like the β in a regression of lm(Y ~ Z))") ``` @@ -780,9 +755,7 @@ So far this all assumes that we have a single unmeasured confounder. That's not ```{r tipr-n-confounders-net} tidy(model_net_ate, conf.int = TRUE) %>% filter(term == "netTRUE") %>% - pull(conf.high) %>% - tip_coef(exposure_confounder_effect = 0.5, - confounder_outcome_effect = -0.3) + lm_tip(smd = 0.5, outcome_association = -0.3) ``` Phew. We'd need basically 59 (58.9) separate confounders with similar characteristics in order to tip our results and make the ATE not significant. That seems like a lot. @@ -806,8 +779,7 @@ Those are all fairly small βs. The largest ones apart from the intercept and ou ```{r tipr-school-outcome-1-6} tidy(model_school_ate, conf.int = TRUE) %>% filter(term == "catholic") %>% - pull(conf.low) %>% - tip_coef(exposure_confounder_effect = 1.6) + lm_tip(outcome_association = 1.6) ``` If that were the case, we'd need to see an SMD of 0.617 in the unknown variable across treated and untreated units. That seems potentially plausible. Again, think back to the hypothetical years of education example from the net sensitivity analysis. Let's pretend that years of mother's education is normally distributed with a mean of 15 and a standard deviation of 1.5. We can transform that 0.617 standardized difference into years of education by multiplying `0.617 * 1.5`, or `r 0.617 * 1.5`. That means we'd need to see a difference of almost 1 year of mother's education between Catholic and public school students. That seems eminently plausible. @@ -817,8 +789,7 @@ What if we think that 1.6 might be too high for a coefficient and we bump it dow ```{r tipr-school-outcome-0-8} tidy(model_school_ate, conf.int = TRUE) %>% filter(term == "catholic") %>% - pull(conf.low) %>% - tip_coef(exposure_confounder_effect = 0.8) + lm_tip(outcome_association = 0.8) ``` The SMD would need to be higher, but not super high. Assuming a unknown variable like our imaginary years of mother's education, that would look like a difference of `1.23 * 1.5`, or `r 1.23 * 1.5` years. Again, that might be plausible. Especially since so far we're only thinking about a *single* unmeasured confounder. @@ -828,8 +799,7 @@ We can also solve for different values of the outcome association β. For instan ```{r tipr-school-smd-0-5} tidy(model_school_ate, conf.int = TRUE) %>% filter(term == "catholic") %>% - pull(conf.low) %>% - tip_coef(confounder_outcome_effect = 0.5) + lm_tip(smd = 0.5) ``` Yikes. We'd only need a β of 1.98. Again, that's larger than any of our existing βs for now (homework non-completion comes closest at 1.25), but it seems fairly reasonable. Again, we're only thinking about a single hypothetical unmeasured confounder here—adding more will decrease that hypothetical β even more. @@ -839,12 +809,10 @@ Here are all the combinations of SMD and outcome association that would tip our ```{r tipr-combinations-school, fig.width=6, fig.height=4.5} plot_stuff <- tidy(model_school_ate, conf.int = TRUE) %>% filter(term == "catholic") %>% - pull(conf.low) %>% - tip_coef(confounder_outcome_effect = seq(0.05, 3, by = 0.05), verbose = FALSE) + lm_tip(smd = seq(0.05, 3, by = 0.05), verbose = FALSE) -ggplot(plot_stuff, aes(x = exposure_confounder_effect, - y = abs(confounder_outcome_effect))) + - geom_line(linewidth = 1.5, color = "orange") + +ggplot(plot_stuff, aes(x = smd, y = abs(outcome_association))) + + geom_line(size = 1.5, color = "orange") + labs(x = "Standardized mean difference\nacross treated/untreated in Z\n(think of this kind of like Cohen's d)", y = "Association of unknown confounder with outcome\n(think of this like the β in a regression of lm(Y ~ Z))") ``` @@ -856,9 +824,7 @@ Again, this is all just with one unmeasured confounder. What if there are a bunc ```{r tipr-n-confounders-school} tidy(model_school_ate, conf.int = TRUE) %>% filter(term == "catholic") %>% - pull(conf.low) %>% - tip_coef(exposure_confounder_effect = 0.3, - confounder_outcome_effect = 0.4) + lm_tip(smd = 0.3, outcome_association = 0.4) ``` We'd need just 8 of those kinds of confounders to tip the results and move the ATE into the world of nonsignificance. @@ -878,15 +844,13 @@ A new method proposed by Carlos Cinelli and Chad Hazlett [@CinelliHazlett:2020] **sensemakr**'s main contribution to the world of sensitivity analysis is that it's much more formalized in its approach and its results. The authors [show that imagining different possible values that coefficients can take](https://carloscinelli.com/sensemakr/articles/informal_benchmarking.html) (kind of like what we did with **tipr**) can lead to erroneous results since that approach isn't really systematic. With **sensemakr**, though, you get hard, specific bounds for the different values of $R^2$ and how omitted confounders can bias your results. -The best overview of how **sensemakr** works is this short presentation by Carlos Cinelli from 2020. You should ***absolutely*** watch it (especially from 3:00–13:00). There's also [an example with code here](http://carloscinelli.com/sensemakr/articles/sensemakr.html), and [their full paper is here](https://www.researchgate.net/publication/340965014_sensemakr_Sensitivity_Analysis_Tools_for_OLS_in_R_and_Stata) (see the section called "Simple measures for routine reporting" in particular). +The best overview of how **sensemakr** works is [this short presentation](https://www.youtube.com/watch?v=p3dfHj6ki68) by Carlos Cinelli from 2020. You should ***absolutely*** watch it (especially from 3:00–13:00). There's also [an example with code here](http://carloscinelli.com/sensemakr/articles/sensemakr.html), and [their full paper is here](https://www.researchgate.net/publication/340965014_sensemakr_Sensitivity_Analysis_Tools_for_OLS_in_R_and_Stata) (see the section called "Simple measures for routine reporting" in particular). -
- -
+ \ -Let's explore the robustness of our two causal effects with **sensemakr**! +Let's explore the robustness of our two causal effects with **sensemakr*! ### Fake mosquito net program @@ -967,7 +931,7 @@ How does **sensemakr** work with real data? Let's throw our Catholic schools ATE First we'll rerun the model with all the controls rather than weighting with IPW, and we'll look at the partial $R^2$s to get a sense of how much variation in math scores each of these variables explains. -```{r sense-school-model, warning=FALSE} +```{r sense-school-model} model_school_controls <- lm(math12 ~ catholic + I(inc8^2) + (inc8*math8) + fhowfar + mhowfar + fight8 + nohw8 + disrupt8 + riskdrop8, data = school_iptw) @@ -1047,3 +1011,6 @@ Either! If you like thinking about hypothetical βs and SMDs, use **tipr**. If y **sensemakr** has one important limitation: it only works with models that use $R^2$. That means if you're estimating outcome models with things like multilevel models or logistic regression, you can't use **sensemakr**. **tipr** should work with any estimate that has a confidence interval, though, so you should be able to use it with pretty much any type of model. Remember that **sensemakr**'s claim to fame is that it has clear and specific bounds. If you're using **tipr**, you can be more systematic than throwing different βs and SMDs into the function. Choose a benchmark variable and see if your results tip if you include something as strong, twice as strong, and three times its size, either as a β on the outcome or as the between-group SMD. + + +## References diff --git a/docs/_site/projects/week-8/week-8.Rproj b/docs/_site/projects/week-8/week-8.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/_site/projects/week-8/week-8.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/_site/slides/css/animate.css b/docs/_site/slides/css/animate.css new file mode 100644 index 00000000..d26682f8 --- /dev/null +++ b/docs/_site/slides/css/animate.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/docs/_site/slides/css/ath-inferno-fonts.css b/docs/_site/slides/css/ath-inferno-fonts.css new file mode 100644 index 00000000..96634d2f --- /dev/null +++ b/docs/_site/slides/css/ath-inferno-fonts.css @@ -0,0 +1,14 @@ +@import url('https://fonts.googleapis.com/css2?family=Fira+Sans+Condensed:ital,wght@0,300;0,400;0,600;0,900;1,300;1,400;1,600;1,900&display=swap'); +@import url('https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@400;700&display=swap'); + +body, h1, h2, h3 { + font-family: 'Fira Sans Condensed', sans; +} + +h1, h2, h3 { + font-weight: 600; +} + +.remark-code, .remark-inline-code { + font-family: 'Source Code Pro', 'Lucida Console', Monaco, monospace; +} diff --git a/docs/_site/slides/css/ath-slides.css b/docs/_site/slides/css/ath-slides.css new file mode 100644 index 00000000..9cc81f95 --- /dev/null +++ b/docs/_site/slides/css/ath-slides.css @@ -0,0 +1,618 @@ +/* +Typography +*/ +.remark-slide-content { + font-size: 40px; + /* Base font size */ + padding: 1em 1em 1em 1em; +} + +.remark-slide-content p { + margin: 0.5em 0; +} + +.remark-slide-content h1 { + font-size: 1.7em; + line-height: 1em; + margin-top: 0; + text-align: center; +} + +.huge { + font-size: 2.2em; +} + +.large { + font-size: 1.7em; +} + +.normal { + font-size: 1em; +} + +.medium { + font-size: 1.4em; +} + +.less-medium { + font-size: 1.2em; +} + +.SMALL { + /* CURSE YOU LATEX */ + font-size: 0.9em; +} + +.small { + font-size: 0.8em; +} + +.smaller { + font-size: 0.65em; +} + +.tiny { + font-size: 0.5em; +} + +.light { + font-weight: 300; +} + +.full-width { + width: 100%; +} + +.remark-slide-number { + font-size: 15px; +} + +figure { + margin: 15px; +} + +figcaption { + font-size: 0.5em; +} + +.pull-left h2, +.pull-right h2, +.pull-left-3 h2, +.pull-middle-3 h2, +.pull-right-3 h2 { + margin-top: 0.3em; +} + +.cell-left { + text-align: left; +} + +.cell-right { + text-align: right; +} + +.cell-center { + text-align: center; +} + +.frame { + border: 1px #000000 solid; + padding: 20px; + box-sizing: border-box; +} + +.bg-full { + background-size: cover; +} + +.bg-90 { + background-size: 90%; + background-position-y: 30%; +} + +.bg-y-75 { + background-position-y: 75%; +} + +.sp-before { + margin-top: 1em !important; +} + +.sp-before { + margin-top: 0.7em !important; +} + +.sp-after { + margin-bottom: 1em !important; +} + +.sp-after-half { + margin-bottom: 0.7em !important; +} + +.remark-code, +.remark-inline-code { + font-size: 0.75em; +} + +/* Side-by-side code/plot stuff https://www.garrickadenbuie.com/blog/decouple-code-and-output-in-xaringan-slides/ */ +.left-code { + color: #777; + width: 48%; + height: 92%; + float: left; +} + +.right-plot { + width: 50%; + float: right; + padding-left: 1%; +} + +.right-code { + color: #777; + width: 48%; + height: 92%; + float: right; +} + +.left-plot { + width: 50%; + float: left; + padding-right: 1%; +} + +.left-code .remark-code, +.left-code .remark-inline-code, +.right-code .remark-code, +.right-code .remark-inline-code { + font-size: 0.5em; +} + +.small-code .remark-code, +.small-code .remark-inline-code { + font-size: 0.5em; +} + +/* +Main title and section title slides +*/ +.main-title { + color: #FFFFFF; +} + +.main-title { + text-align: center; +} + +.main-title h1 { + font-weight: 900; + font-size: 2.8em; + line-height: 1.2; + margin-bottom: 2em; +} + +.main-title p { + font-size: 0.8em; +} + +.main-title .class-info { + position: absolute; + width: 100%; + left: 0; + bottom: calc(0% + 0.5em); +} + +.section-title h1, +.section-title-inv h1 { + color: #FFFFFF; + font-size: 2.3em; + line-height: 1.3; +} + +/* +Three column layout +*/ +.pull-left-3 { + float: left; + width: 30%; + padding: 0 2.5% 0 0; +} + +.pull-middle-3 { + float: left; + width: 30%; + padding: 0 2.5%; +} + +.pull-right-3 { + float: right; + width: 30%; + padding: 0 0 0 2.5%; +} + +.pull-right-3 ~ * { + clear: both; +} + +/* +Wider pull left/right +*/ +.pull-left-wide { + float: left; + width: 65%; +} + +.pull-left-narrow { + float: left; + width: 32%; +} + +.pull-right-wide { + float: right; + width: 65%; +} + +.pull-right-narrow { + float: right; + width: 32%; +} + +.pull-right-narrow ~ *, +.pull-right-wide ~ * { + clear: both; +} + +/* +Slides with title bars at the top +*/ +.title { + padding-top: 0em; + border-top: 110px solid #777777; +} + +.title h1 { + margin-top: -85px; + margin-bottom: 50px; +} + +.title-1 { + border-top-color: #170C3A; +} + +.title-2 { + border-top-color: #480B6A; +} + +.title-3 { + border-top-color: #771C6D; +} + +.title-4 { + border-top-color: #A52C60; +} + +.title-5 { + border-top-color: #CF4446; +} + +.title-6 { + border-top-color: #EE6A24; +} + +.title-7 { + border-top-color: #FB9E07; +} + +.title-8 { + border-top-color: #F6D645; +} + +.title-inv-1 { + border-top-color: #B1AEC4; +} + +.title-inv-2 { + border-top-color: #CCAEED; +} + +.title-inv-3 { + border-top-color: #F5ABEA; +} + +.title-inv-4 { + border-top-color: #FFB7CD; +} + +.title-inv-5 { + border-top-color: #FFC6C6; +} + +.title-inv-6 { + border-top-color: #FFD3CA; +} + +.title-inv-7 { + border-top-color: #FFE2D0; +} + +.title-inv-8 { + border-top-color: #FFF2CE; +} + +/* +General color classes +*/ +.color-1 { + color: #170C3A; +} + +.color-2 { + color: #480B6A; +} + +.color-3 { + color: #771C6D; +} + +.color-4 { + color: #A52C60; +} + +.color-5 { + color: #CF4446; +} + +.color-6 { + color: #EE6A24; +} + +.color-7 { + color: #FB9E07; +} + +.color-8 { + color: #F6D645; +} + +.color-light-1 { + color: #B1AEC4; +} + +.color-light-2 { + color: #CCAEED; +} + +.color-light-3 { + color: #F5ABEA; +} + +.color-light-4 { + color: #FFB7CD; +} + +.color-light-5 { + color: #FFC6C6; +} + +.color-light-6 { + color: #FFD3CA; +} + +.color-light-7 { + color: #FFE2D0; +} + +.color-light-8 { + color: #FFF2CE; +} + +/* +Coloring and inverse coloring in title bars and content boxes +*/ +.box-1, +.section-title-1 { + background-color: #170C3A; +} + +.box-2, +.section-title-2 { + background-color: #480B6A; +} + +.box-3, +.section-title-3 { + background-color: #771C6D; +} + +.box-4, +.section-title-4 { + background-color: #A52C60; +} + +.box-5, +.section-title-5 { + background-color: #CF4446; +} + +.box-6, +.section-title-6 { + background-color: #EE6A24; +} + +.box-7, +.section-title-7 { + background-color: #FB9E07; +} + +.box-8, +.section-title-8 { + background-color: #F6D645; +} + +.box-inv-1, +.section-title-inv-1 { + background-color: #B1AEC4; +} + +.box-inv-2, +.section-title-inv-2 { + background-color: #CCAEED; +} + +.box-inv-3, +.section-title-inv-3 { + background-color: #F5ABEA; +} + +.box-inv-4, +.section-title-inv-4 { + background-color: #FFB7CD; +} + +.box-inv-5, +.section-title-inv-5 { + background-color: #FFC6C6; +} + +.box-inv-6, +.section-title-inv-6 { + background-color: #FFD3CA; +} + +.box-inv-7, +.section-title-inv-7 { + background-color: #FFE2D0; +} + +.box-inv-8, +.section-title-inv-8 { + background-color: #FFF2CE; +} + +.box-inv-1, +.title-inv-1 h1, +.section-title-inv-1 h1 { + color: #170C3A; +} + +.box-inv-2, +.title-inv-2 h1, +.section-title-inv-2 h1 { + color: #480B6A; +} + +.box-inv-3, +.title-inv-3 h1, +.section-title-inv-3 h1 { + color: #771C6D; +} + +.box-inv-4, +.title-inv-4 h1, +.section-title-inv-4 h1 { + color: #A52C60; +} + +.box-inv-5, +.title-inv-5 h1, +.section-title-inv-5 h1 { + color: #CF4446; +} + +.box-inv-6, +.title-inv-6 h1, +.section-title-inv-6 h1 { + color: #EE6A24; +} + +.box-inv-7, +.title-inv-7 h1, +.section-title-inv-7 h1 { + color: #FB9E07; +} + +.box-inv-8, +.title-inv-8 h1, +.section-title-inv-8 h1 { + color: #F6D645; +} + +.box-8, .box-7, .box-6, .box-5, .box-4, .box-3, .box-2, .box-1, .title-8 h1, .title-7 h1, .title-6 h1, .title-5 h1, .title-4 h1, .title-3 h1, .title-2 h1, .title-1 h1, .section-title h1 { + color: #FFFFFF; +} + +.box-8, .box-inv-8, .box-7, .box-inv-7, .box-6, .box-inv-6, .box-5, .box-inv-5, .box-4, .box-inv-4, .box-3, .box-inv-3, .box-2, .box-inv-2, .box-1, .box-inv-1 { + margin: 0em auto; + overflow: hidden; + padding: 0.1em 0.4em; + font-weight: 600; + display: table; + text-align: center; +} + +.float-left { + text-align: left; +} + +.float-right { + text-align: right; +} + +.float-left .box-1, .float-left .box-inv-1, +.float-right .box-1, .float-right .box-inv-1 { + display: inline; +} + +.float-left .box-2, .float-left .box-inv-2, +.float-right .box-2, .float-right .box-inv-2 { + display: inline; +} + +.float-left .box-3, .float-left .box-inv-3, +.float-right .box-3, .float-right .box-inv-3 { + display: inline; +} + +.float-left .box-4, .float-left .box-inv-4, +.float-right .box-4, .float-right .box-inv-4 { + display: inline; +} + +.float-left .box-5, .float-left .box-inv-5, +.float-right .box-5, .float-right .box-inv-5 { + display: inline; +} + +.float-left .box-6, .float-left .box-inv-6, +.float-right .box-6, .float-right .box-inv-6 { + display: inline; +} + +.float-left .box-7, .float-left .box-inv-7, +.float-right .box-7, .float-right .box-inv-7 { + display: inline; +} + +.float-left .box-8, .float-left .box-inv-8, +.float-right .box-8, .float-right .box-inv-8 { + display: inline; +} + +/* Corner ribbon */ +/* Adapted from https://codepen.io/eode9/pen/twkKm */ +.corner-ribbon { + width: 425px; + position: fixed; + top: auto; + bottom: 50px; + left: -85px; + transform: rotate(35deg); + -webkit-transform: rotate(35deg); + box-shadow: 0 0 3px rgba(0, 0, 0, 0.3); + text-align: center; + font-size: 0.6em; + padding: 0.25em 0; + background: #A52C60; + color: #FFFFFF; +} diff --git a/docs/_site/slides/css/ath-slides.scss b/docs/_site/slides/css/ath-slides.scss new file mode 100644 index 00000000..81e3c8b4 --- /dev/null +++ b/docs/_site/slides/css/ath-slides.scss @@ -0,0 +1,476 @@ + +// Plasma colors +$colors-dark: ( + #170C3A, /* 1: Grim Reaper */ + #480B6A, /* 2: Obsidian Shell */ + #771C6D, /* 3: Pure Purple */ + #A52C60, /* 4: Parlour Red */ + #CF4446, /* 5: Bullfighters Red */ + #EE6A24, /* 6: Fuego Nuevo */ + #FB9E07, /* 7: Bonus Level */ + #F6D645 /* 8: Python Yellow */ +); + +$colors-light: ( + #B1AEC4, /* 1: Noble Purple */ + #CCAEED, /* 2: Purple Sand */ + #F5ABEA, /* 3: Pinky Swear */ + #FFB7CD, /* 4: Baby Pink */ + #FFC6C6, /* 5: Cinderella Pink */ + #FFD3CA, /* 6: Pale Jasper */ + #FFE2D0, /* 7: Powdered Peach */ + #FFF2CE /* 8: Bird's Child */ +); + + +/* +Typography +*/ +.remark-slide-content { + font-size: 40px; /* Base font size */ + padding: 1em 1em 1em 1em; +} + +.remark-slide-content p { + margin: 0.5em 0; +} + +.remark-slide-content h1 { + font-size: 1.7em; + line-height: 1em; + margin-top: 0; + text-align: center; +} + +.huge { + font-size: 2.2em; +} + +.large { + font-size: 1.7em; +} + +.normal { + font-size: 1em; +} + +.medium { + font-size: 1.4em; +} + +.less-medium { + font-size: 1.2em; +} + +.SMALL { + /* CURSE YOU LATEX */ + font-size: 0.9em; +} + +.small { + font-size: 0.8em; +} + +.smaller { + font-size: 0.65em; +} + +.tiny { + font-size: 0.5em; +} + +.light { + font-weight: 300; +} + +.full-width { + width: 100%; +} + +.remark-slide-number { + font-size: 15px; +} + +figure { + margin: 15px; +} + +figcaption { + font-size: 0.5em; +} + +.pull-left h2, +.pull-right h2, +.pull-left-3 h2, +.pull-middle-3 h2, +.pull-right-3 h2 { + margin-top: 0.3em; +} + +.cell-left { + text-align: left; +} + +.cell-right { + text-align: right; +} + +.cell-center { + text-align: center; +} + +.frame { + border: 1px #000000 solid; + padding: 20px; + box-sizing: border-box; +} + +.bg-full { + background-size: cover; +} + +.bg-90 { + background-size: 90%; + background-position-y: 30%; +} + +.bg-y-75 { + background-position-y: 75%; +} + +.sp-before { + margin-top: 1em !important; +} + +.sp-before { + margin-top: 0.7em !important; +} + +.sp-after { + margin-bottom: 1em !important; +} + +.sp-after-half { + margin-bottom: 0.7em !important; +} + +.remark-code, +.remark-inline-code { + font-size: 0.75em; +} + +/* Side-by-side code/plot stuff https://www.garrickadenbuie.com/blog/decouple-code-and-output-in-xaringan-slides/ */ +.left-code { + color: #777; + width: 48%; + height: 92%; + float: left; +} + +.right-plot { + width: 50%; + float: right; + padding-left: 1%; +} + +.right-code { + color: #777; + width: 48%; + height: 92%; + float: right; +} + +.left-plot { + width: 50%; + float: left; + padding-right: 1%; +} + +.left-code .remark-code, +.left-code .remark-inline-code, +.right-code .remark-code, +.right-code .remark-inline-code{ + font-size: 0.5em; +} + +.small-code .remark-code, +.small-code .remark-inline-code { + font-size: 0.5em; +} + +/* +Main title and section title slides +*/ +.main-title { + color: #FFFFFF; +} + +.main-title { + text-align: center; +} + +.main-title h1 { + font-weight: 900; + font-size: 2.8em; + line-height: 1.2; + margin-bottom: 2em; +} + +.main-title p { + font-size: 0.8em; +} + +.main-title .class-info { + position: absolute; + width: 100%; + left: 0; + bottom: calc(0% + 0.5em); +} + +.section-title h1, +.section-title-inv h1 { + color: #FFFFFF; + font-size: 2.3em; + line-height: 1.3; +} + + +/* +Three column layout +*/ +.pull-left-3 { + float: left; + width: 30%; + padding: 0 2.5% 0 0; +} + +.pull-middle-3 { + float: left; + width: 30%; + padding: 0 2.5%; +} + +.pull-right-3 { + float: right; + width: 30%; + padding: 0 0 0 2.5%; +} + +.pull-right-3 ~ * { + clear: both; +} + +/* +Wider pull left/right +*/ + +.pull-left-wide { + float: left; + width: 65%; +} + +.pull-left-narrow { + float: left; + width: 32%; +} + +.pull-right-wide { + float: right; + width: 65%; +} + +.pull-right-narrow { + float: right; + width: 32%; +} + +.pull-right-narrow ~ *, +.pull-right-wide ~ * { + clear: both; +} + + +/* +Slides with title bars at the top +*/ +.title { + padding-top: 0em; + border-top: 110px solid #777777; +} + +.title h1 { + margin-top: -85px; + margin-bottom: 50px; +} + +// Change the color of the top bar. This generates the following CSS: +// +// .title-N { +// border-top-color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .title-#{$i} { + border-top-color: $current-color; + } +} + +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .title-inv-#{$i} { + border-top-color: $current-color; + } +} + +/* +General color classes +*/ + +// This generates the following CSS: +// +// .color-N { +// color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .color-#{$i} { + color: $current-color; + } +} + +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .color-light-#{$i} { + color: $current-color; + } +} + + +/* +Coloring and inverse coloring in title bars and content boxes +*/ + +// This generates the following CSS: +// +// .box-N, +// .section-title-N { +// background-color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .box-#{$i}, + .section-title-#{$i} { + background-color: $current-color; + } +} + +// This generates the following CSS: +// +// .box-inv-N, +// .section-title-inv-N { +// background-color: $colors-light[N]; +// } +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .box-inv-#{$i}, + .section-title-inv-#{$i} { + background-color: $current-color; + } +} + +// This generates the following CSS: +// +// .box-inv-N, +// .title-inv-N h1 { +// color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .box-inv-#{$i}, + .title-inv-#{$i} h1, + .section-title-inv-#{$i} h1 { + color: $current-color; + } +} + + +// Make all h1s in section titles and titles use white text +// This uses @extend to make a comma-separated list of properties, like so: +// .section-title h1, .title-1 h1, .title-2 h1, ... +%white-text { + color: #FFFFFF; +} + +.section-title h1 { + @extend %white-text; +} + +@for $i from 1 through length($colors-dark) { + .title-#{$i} h1 { + @extend %white-text; + } +} + +// Make all dark boxes use white text. The %selector is a placeholder. +@for $i from 1 through length($colors-dark) { + .box-#{$i} { + @extend %white-text; + } +} + +// Settings for all the boxes, based on the %box-settings placeholder +%box-settings { + margin: 0em auto; + overflow: hidden; + padding: 0.1em 0.4em; + font-weight: 600; + display: table; + text-align: center; +} + +@for $i from 1 through length($colors-dark) { + .box-#{$i}, .box-inv-#{$i} { + @extend %box-settings; + } +} + +.float-left { + text-align: left; +} + +.float-right { + text-align: right; +} + +@for $i from 1 through length($colors-dark) { + .float-left .box-#{$i}, .float-left .box-inv-#{$i}, + .float-right .box-#{$i}, .float-right .box-inv-#{$i} { + display: inline; + } +} + + +/* Corner ribbon */ +/* Adapted from https://codepen.io/eode9/pen/twkKm */ +.corner-ribbon { + width: 425px; + position: fixed; + top: auto; + bottom: 50px; + left: -85px; + transform: rotate(35deg); + -webkit-transform: rotate(35deg); + box-shadow: 0 0 3px rgba(0, 0, 0, .3); + text-align: center; + font-size: 0.6em; + padding: 0.25em 0; + background: nth($colors-dark, 4); + color: #FFFFFF; +} diff --git a/slides/img/01-class/00/airbnb.png b/docs/_site/slides/img/01-class/00/airbnb.png similarity index 100% rename from slides/img/01-class/00/airbnb.png rename to docs/_site/slides/img/01-class/00/airbnb.png diff --git a/slides/img/01-class/00/engineering-model.png b/docs/_site/slides/img/01-class/00/engineering-model.png similarity index 100% rename from slides/img/01-class/00/engineering-model.png rename to docs/_site/slides/img/01-class/00/engineering-model.png diff --git a/slides/img/01-class/00/excel-numbers.png b/docs/_site/slides/img/01-class/00/excel-numbers.png similarity index 100% rename from slides/img/01-class/00/excel-numbers.png rename to docs/_site/slides/img/01-class/00/excel-numbers.png diff --git a/slides/img/01-class/00/krugman-allowed.png b/docs/_site/slides/img/01-class/00/krugman-allowed.png similarity index 100% rename from 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docs/_site/slides/img/14/walks_2014.png diff --git a/slides/img/14/walter-benjamin.jpg b/docs/_site/slides/img/14/walter-benjamin.jpg similarity index 100% rename from slides/img/14/walter-benjamin.jpg rename to docs/_site/slides/img/14/walter-benjamin.jpg diff --git a/slides/img/14/wired-cover.jpg b/docs/_site/slides/img/14/wired-cover.jpg similarity index 100% rename from slides/img/14/wired-cover.jpg rename to docs/_site/slides/img/14/wired-cover.jpg diff --git a/slides/img/14/youtube-algorithm.jpg b/docs/_site/slides/img/14/youtube-algorithm.jpg similarity index 100% rename from slides/img/14/youtube-algorithm.jpg rename to docs/_site/slides/img/14/youtube-algorithm.jpg diff --git a/slides/img/14/youtube-radicalization.png b/docs/_site/slides/img/14/youtube-radicalization.png similarity index 100% rename from slides/img/14/youtube-radicalization.png rename to docs/_site/slides/img/14/youtube-radicalization.png diff --git a/docs/_site/slides/libs/clipboard-2.0.6/clipboard.min.js b/docs/_site/slides/libs/clipboard-2.0.6/clipboard.min.js new file mode 100644 index 00000000..28650f3c --- /dev/null +++ b/docs/_site/slides/libs/clipboard-2.0.6/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.6 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return o={},r.m=n=[function(t,e){t.exports=function(t){var e;if("SELECT"===t.nodeName)t.focus(),e=t.value;else if("INPUT"===t.nodeName||"TEXTAREA"===t.nodeName){var n=t.hasAttribute("readonly");n||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),n||t.removeAttribute("readonly"),e=t.value}else{t.hasAttribute("contenteditable")&&t.focus();var o=window.getSelection(),r=document.createRange();r.selectNodeContents(t),o.removeAllRanges(),o.addRange(r),e=o.toString()}return e}},function(t,e){function n(){}n.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o noup * 2 && secs % noup > 0) { return; } + } + + // should we apply or remove warning class? + warnwhen = timer.div.dataset.warnwhen; + if (warnwhen && warnwhen > 0) { + if (secs <= warnwhen && !timer.div.classList.contains("warning")) { + timer.div.classList.add("warning"); + } else if (secs > warnwhen && timer.div.classList.contains("warning")) { + timer.div.classList.remove("warning"); + } + } + + var mins = Math.floor(secs / 60); // 1 min = 60 secs + secs -= mins * 60; + + // Update HTML + timer.min.innerHTML = String(mins).padStart(2, 0); + timer.sec.innerHTML = String(secs).padStart(2, 0); +} +var countdown = function (e) { + target = e.target; + if (target.classList.contains("countdown-digits")) { + target = target.parentElement; + } + if (target.tagName == "CODE") { + target = target.parentElement; + } + + // Init counter + if (!counters.timer.hasOwnProperty(target.id)) { + counters.timer[target.id] = {}; + // Set the containers + counters.timer[target.id].min = target.getElementsByClassName("minutes")[0]; + counters.timer[target.id].sec = target.getElementsByClassName("seconds")[0]; + counters.timer[target.id].div = target; + } + + if (!counters.timer[target.id].running) { + if (!counters.timer[target.id].end) { + counters.timer[target.id].end = parseInt(counters.timer[target.id].min.innerHTML) * 60; + counters.timer[target.id].end += parseInt(counters.timer[target.id].sec.innerHTML); + } + + counters.timer[target.id].value = counters.timer[target.id].end; + update_timer(counters.timer[target.id]); + if (counters.ticker) counters.timer[target.id].value += 1; + + // Start if not past end date + if (counters.timer[target.id].value > 0) { + base_class = target.className.replace(/\s?(running|finished)/, "") + target.className = base_class + " running"; + counters.timer[target.id].running = true; + + if (!counters.ticker) { + counters.ticker = setInterval(counter_update_all, 1000); + } + } + } else { + // Bump timer value if running & clicked + counters.timer[target.id].value += counter_bump_increment(counters.timer[target.id].end); + update_timer(counters.timer[target.id], force = true); + counters.timer[target.id].value += 1; + } +}; + +var counter_bump_increment = function(val) { + if (val <= 30) { + return 5; + } else if (val <= 300) { + return 15; + } else if (val <= 3000) { + return 30; + } else { + return 60; + } +} + +var counter_update_all = function() { + // Iterate over all running timers + for (var i in counters.timer) { + // Stop if passed end time + console.log(counters.timer[i].id) + counters.timer[i].value--; + if (counters.timer[i].value <= 0) { + counters.timer[i].min.innerHTML = "00"; + counters.timer[i].sec.innerHTML = "00"; + counters.timer[i].div.className = counters.timer[i].div.className.replace("running", "finished"); + counters.timer[i].running = false; + } else { + // Update + update_timer(counters.timer[i]); + + // Play countdown sound if data-audio=true on container div + let audio = counters.timer[i].div.dataset.audio + if (audio && counters.timer[i].value == 5) { + counter_play_sound(audio); + } + } + } + + // If no more running timers, then clear ticker + var timerIsRunning = false; + for (var t in counters.timer) { + timerIsRunning = timerIsRunning || counters.timer[t].running + } + if (!timerIsRunning) { + clearInterval(counters.ticker); + counters.ticker = null; + } +} + +var counter_play_sound = function(url) { + if (typeof url === 'boolean') { + url = 'libs/countdown/smb_stage_clear.mp3'; + } + sound = new Audio(url); + sound.play(); +} + +var counter_addEventListener = function() { + if (!document.getElementsByClassName("countdown").length) { + setTimeout(counter_addEventListener, 2); + return; + } + var counter_divs = document.getElementsByClassName("countdown"); + console.log(counter_divs); + for (var i = 0; i < counter_divs.length; i++) { + counter_divs[i].addEventListener("click", countdown, false); + } +}; + +counter_addEventListener(); diff --git a/docs/_site/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 b/docs/_site/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 new file mode 100644 index 00000000..da2ddc2c Binary files /dev/null and b/docs/_site/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 differ diff --git a/docs/_site/slides/libs/countdown-0.4.0/countdown.css b/docs/_site/slides/libs/countdown-0.4.0/countdown.css new file mode 100644 index 00000000..704cfa21 --- /dev/null +++ b/docs/_site/slides/libs/countdown-0.4.0/countdown.css @@ -0,0 +1,144 @@ +.countdown { + background: inherit; + position: absolute; + cursor: pointer; + font-size: 1.5em; + line-height: 1; + border-color: #ddd; + border-width: 3px; + border-style: solid; + border-radius: 15px; + box-shadow: 0px 4px 10px 0px rgba(50, 50, 50, 0.4); + -webkit-box-shadow: 0px 4px 10px 0px rgba(50, 50, 50, 0.4); + margin: 0.6em; + padding: 10px 15px; + text-align: center; + z-index: 10; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.countdown { + display: flex; + align-items: center; + justify-content: center; +} +.countdown .countdown-time { + background: none; + font-size: 100%; + padding: 0; +} +.countdown-digits { + color: inherit; +} +.countdown.running { + border-color: #2A9B59FF; + background-color: #43AC6A; +} +.countdown.running .countdown-digits { + color: #002F14FF; +} +.countdown.finished { + border-color: #DE3000FF; + background-color: #F04124; +} +.countdown.finished .countdown-digits { + color: #4A0900FF; +} +.countdown.running.warning { + border-color: #CEAC04FF; + background-color: #E6C229; +} +.countdown.running.warning .countdown-digits { + color: #3A2F02FF; +} + +.countdown.running.blink-colon .countdown-digits.colon { + opacity: 0.1; +} + +/* ------ Controls ------ */ +.countdown:not(.running) .countdown-controls { + display: none; +} + +.countdown-controls { + position: absolute; + top: -0.5rem; + right: -0.5rem; + left: -0.5rem; + display: flex; + justify-content: space-between; + margin: 0; + padding: 0; +} + +.countdown-controls > button { + font-size: 1.5rem; + width: 1rem; + height: 1rem; + display: inline-block; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + font-family: monospace; + padding: 10px; + margin: 0; + background: inherit; + border: 2px solid; + border-radius: 100%; + transition: 50ms transform ease-in-out, 150ms opacity ease-in; + --countdown-transition-distance: 10px; +} + +.countdown .countdown-controls > button:last-child { + transform: translate(calc(-1 * var(--countdown-transition-distance)), var(--countdown-transition-distance)); + opacity: 0; + color: #002F14FF; + background-color: #43AC6A; + border-color: #2A9B59FF; +} + +.countdown .countdown-controls > button:first-child { + transform: translate(var(--countdown-transition-distance), var(--countdown-transition-distance)); + opacity: 0; + color: #4A0900FF; + background-color: #F04124; + border-color: #DE3000FF; +} + +.countdown.running:hover .countdown-controls > button, +.countdown.running:focus-within .countdown-controls > button{ + transform: translate(0, 0); + opacity: 1; +} + +.countdown.running:hover .countdown-controls > button:hover, +.countdown.running:focus-within .countdown-controls > button:hover{ + transform: translate(0, calc(var(--countdown-transition-distance) / -2)); + box-shadow: 0px 2px 5px 0px rgba(50, 50, 50, 0.4); + -webkit-box-shadow: 0px 2px 5px 0px rgba(50, 50, 50, 0.4); +} + +.countdown.running:hover .countdown-controls > button:active, +.countdown.running:focus-within .countdown-controls > button:active{ + transform: translate(0, calc(var(--coutndown-transition-distance) / -5)); +} + +/* ----- Fullscreen ----- */ +.countdown.countdown-fullscreen { + z-index: 0; +} + +.countdown-fullscreen.running .countdown-controls { + top: 1rem; + left: 0; + right: 0; + justify-content: center; +} + +.countdown-fullscreen.running .countdown-controls > button + button { + margin-left: 1rem; +} diff --git a/docs/_site/slides/libs/countdown-0.4.0/countdown.js b/docs/_site/slides/libs/countdown-0.4.0/countdown.js new file mode 100644 index 00000000..a058ad8f --- /dev/null +++ b/docs/_site/slides/libs/countdown-0.4.0/countdown.js @@ -0,0 +1,478 @@ +/* globals Shiny,Audio */ +class CountdownTimer { + constructor (el, opts) { + if (typeof el === 'string' || el instanceof String) { + el = document.querySelector(el) + } + + if (el.counter) { + return el.counter + } + + const minutes = parseInt(el.querySelector('.minutes').innerText || '0') + const seconds = parseInt(el.querySelector('.seconds').innerText || '0') + const duration = minutes * 60 + seconds + + function attrIsTrue (x) { + if (x === true) return true + return !!(x === 'true' || x === '' || x === '1') + } + + this.element = el + this.duration = duration + this.end = null + this.is_running = false + this.warn_when = parseInt(el.dataset.warnWhen) || -1 + this.update_every = parseInt(el.dataset.updateEvery) || 1 + this.play_sound = attrIsTrue(el.dataset.playSound) + this.blink_colon = attrIsTrue(el.dataset.blinkColon) + this.startImmediately = attrIsTrue(el.dataset.startImmediately) + this.timeout = null + this.display = { minutes, seconds } + + if (opts.src_location) { + this.src_location = opts.src_location + } + + this.addEventListeners() + } + + addEventListeners () { + const self = this + + if (this.startImmediately) { + if (window.remark && window.slideshow) { + // Remark (xaringan) support + const isOnVisibleSlide = () => { + return document.querySelector('.remark-visible').contains(self.element) + } + if (isOnVisibleSlide()) { + self.start() + } else { + let started_once = 0 + window.slideshow.on('afterShowSlide', function () { + if (started_once > 0) return + if (isOnVisibleSlide()) { + self.start() + started_once = 1 + } + }) + } + } else if (window.Reveal) { + // Revealjs (quarto) support + const isOnVisibleSlide = () => { + const currentSlide = document.querySelector('.reveal .slide.present') + return currentSlide ? currentSlide.contains(self.element) : false + } + if (isOnVisibleSlide()) { + self.start() + } else { + const revealStartTimer = () => { + if (isOnVisibleSlide()) { + self.start() + window.Reveal.off('slidechanged', revealStartTimer) + } + } + window.Reveal.on('slidechanged', revealStartTimer) + } + } else if (window.IntersectionObserver) { + // All other situtations use IntersectionObserver + const onVisible = (element, callback) => { + new window.IntersectionObserver((entries, observer) => { + entries.forEach(entry => { + if (entry.intersectionRatio > 0) { + callback(element) + observer.disconnect() + } + }) + }).observe(element) + } + onVisible(this.element, el => el.countdown.start()) + } else { + // or just start the timer as soon as it's initialized + this.start() + } + } + + function haltEvent (ev) { + ev.preventDefault() + ev.stopPropagation() + } + function isSpaceOrEnter (ev) { + return ev.code === 'Space' || ev.code === 'Enter' + } + function isArrowUpOrDown (ev) { + return ev.code === 'ArrowUp' || ev.code === 'ArrowDown' + } + + ;['click', 'touchend'].forEach(function (eventType) { + self.element.addEventListener(eventType, function (ev) { + haltEvent(ev) + self.is_running ? self.stop() : self.start() + }) + }) + this.element.addEventListener('keydown', function (ev) { + if (ev.code === "Escape") { + self.reset() + haltEvent(ev) + } + if (!isSpaceOrEnter(ev) && !isArrowUpOrDown(ev)) return + haltEvent(ev) + if (isSpaceOrEnter(ev)) { + self.is_running ? self.stop() : self.start() + return + } + + if (!self.is_running) return + + if (ev.code === 'ArrowUp') { + self.bumpUp() + } else if (ev.code === 'ArrowDown') { + self.bumpDown() + } + }) + this.element.addEventListener('dblclick', function (ev) { + haltEvent(ev) + if (self.is_running) self.reset() + }) + this.element.addEventListener('touchmove', haltEvent) + + const btnBumpDown = this.element.querySelector('.countdown-bump-down') + ;['click', 'touchend'].forEach(function (eventType) { + btnBumpDown.addEventListener(eventType, function (ev) { + haltEvent(ev) + if (self.is_running) self.bumpDown() + }) + }) + btnBumpDown.addEventListener('keydown', function (ev) { + if (!isSpaceOrEnter(ev) || !self.is_running) return + haltEvent(ev) + self.bumpDown() + }) + + const btnBumpUp = this.element.querySelector('.countdown-bump-up') + ;['click', 'touchend'].forEach(function (eventType) { + btnBumpUp.addEventListener(eventType, function (ev) { + haltEvent(ev) + if (self.is_running) self.bumpUp() + }) + }) + btnBumpUp.addEventListener('keydown', function (ev) { + if (!isSpaceOrEnter(ev) || !self.is_running) return + haltEvent(ev) + self.bumpUp() + }) + this.element.querySelector('.countdown-controls').addEventListener('dblclick', function (ev) { + haltEvent(ev) + }) + } + + remainingTime () { + const remaining = this.is_running + ? (this.end - Date.now()) / 1000 + : this.remaining || this.duration + + let minutes = Math.floor(remaining / 60) + let seconds = Math.ceil(remaining - minutes * 60) + + if (seconds > 59) { + minutes = minutes + 1 + seconds = seconds - 60 + } + + return { remaining, minutes, seconds } + } + + start () { + if (this.is_running) return + + this.is_running = true + + if (this.remaining) { + // Having a static remaining time indicates timer was paused + this.end = Date.now() + this.remaining * 1000 + this.remaining = null + } else { + this.end = Date.now() + this.duration * 1000 + } + + this.reportStateToShiny('start') + + this.element.classList.remove('finished') + this.element.classList.add('running') + this.update(true) + this.tick() + } + + tick (run_again) { + if (typeof run_again === 'undefined') { + run_again = true + } + + if (!this.is_running) return + + const { seconds: secondsWas } = this.display + this.update() + + if (run_again) { + const delay = (this.end - Date.now() > 10000) ? 1000 : 250 + this.blinkColon(secondsWas) + this.timeout = setTimeout(this.tick.bind(this), delay) + } + } + + blinkColon (secondsWas) { + // don't blink unless option is set + if (!this.blink_colon) return + // warn_when always updates the seconds + if (this.warn_when > 0 && Date.now() + this.warn_when > this.end) { + this.element.classList.remove('blink-colon') + return + } + const { seconds: secondsIs } = this.display + if (secondsIs > 10 || secondsWas !== secondsIs) { + this.element.classList.toggle('blink-colon') + } + } + + update (force) { + if (typeof force === 'undefined') { + force = false + } + + const { remaining, minutes, seconds } = this.remainingTime() + + const setRemainingTime = (selector, time) => { + const timeContainer = this.element.querySelector(selector) + if (!timeContainer) return + time = Math.max(time, 0) + timeContainer.innerText = String(time).padStart(2, 0) + } + + if (this.is_running && remaining < 0.25) { + this.stop() + setRemainingTime('.minutes', 0) + setRemainingTime('.seconds', 0) + this.playSound() + return + } + + const should_update = force || + Math.round(remaining) < this.warn_when || + Math.round(remaining) % this.update_every === 0 + + if (should_update) { + this.element.classList.toggle('warning', remaining <= this.warn_when) + this.display = { minutes, seconds } + setRemainingTime('.minutes', minutes) + setRemainingTime('.seconds', seconds) + } + } + + stop () { + const { remaining } = this.remainingTime() + if (remaining > 1) { + this.remaining = remaining + } + this.element.classList.remove('running') + this.element.classList.remove('warning') + this.element.classList.remove('blink-colon') + this.element.classList.add('finished') + this.is_running = false + this.end = null + this.reportStateToShiny('stop') + this.timeout = clearTimeout(this.timeout) + } + + reset () { + this.stop() + this.remaining = null + this.update(true) + this.reportStateToShiny('reset') + this.element.classList.remove('finished') + this.element.classList.remove('warning') + } + + setValues (opts) { + if (typeof opts.warn_when !== 'undefined') { + this.warn_when = opts.warn_when + } + if (typeof opts.update_every !== 'undefined') { + this.update_every = opts.update_every + } + if (typeof opts.blink_colon !== 'undefined') { + this.blink_colon = opts.blink_colon + if (!opts.blink_colon) { + this.element.classList.remove('blink-colon') + } + } + if (typeof opts.play_sound !== 'undefined') { + this.play_sound = opts.play_sound + } + if (typeof opts.duration !== 'undefined') { + this.duration = opts.duration + if (this.is_running) { + this.reset() + this.start() + } + } + this.reportStateToShiny('update') + this.update(true) + } + + bumpTimer (val, round) { + round = typeof round === 'boolean' ? round : true + const { remaining } = this.remainingTime() + let newRemaining = remaining + val + if (newRemaining <= 0) { + this.setRemaining(0) + this.stop() + return + } + if (round && newRemaining > 10) { + newRemaining = Math.round(newRemaining / 5) * 5 + } + this.setRemaining(newRemaining) + this.reportStateToShiny(val > 0 ? 'bumpUp' : 'bumpDown') + this.update(true) + } + + bumpUp (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.bumpTimer( + val || this.bumpIncrementValue(), + typeof val === 'undefined' + ) + } + + bumpDown (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.bumpTimer( + val || -1 * this.bumpIncrementValue(), + typeof val === 'undefined' + ) + } + + setRemaining (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.end = Date.now() + val * 1000 + this.update(true) + } + + playSound () { + let url = this.play_sound + if (!url) return + if (typeof url === 'boolean') { + const src = this.src_location + ? this.src_location.replace('/countdown.js', '') + : 'libs/countdown' + url = src + '/smb_stage_clear.mp3' + } + const sound = new Audio(url) + sound.play() + } + + bumpIncrementValue (val) { + val = val || this.remainingTime().remaining + if (val <= 30) { + return 5 + } else if (val <= 300) { + return 15 + } else if (val <= 3000) { + return 30 + } else { + return 60 + } + } + + reportStateToShiny (action) { + if (!window.Shiny) return + + const inputId = this.element.id + const data = { + event: { + action, + time: new Date().toISOString() + }, + timer: { + is_running: this.is_running, + end: this.end ? new Date(this.end).toISOString() : null, + remaining: this.remainingTime() + } + } + + function shinySetInputValue () { + if (!window.Shiny.setInputValue) { + setTimeout(shinySetInputValue, 100) + return + } + window.Shiny.setInputValue(inputId, data) + } + + shinySetInputValue() + } +} + +(function () { + const CURRENT_SCRIPT = document.currentScript.getAttribute('src') + + document.addEventListener('DOMContentLoaded', function () { + const els = document.querySelectorAll('.countdown') + if (!els || !els.length) { + return + } + els.forEach(function (el) { + el.countdown = new CountdownTimer(el, { src_location: CURRENT_SCRIPT }) + }) + + if (window.Shiny) { + Shiny.addCustomMessageHandler('countdown:update', function (x) { + if (!x.id) { + console.error('No `id` provided, cannot update countdown') + return + } + const el = document.getElementById(x.id) + el.countdown.setValues(x) + }) + + Shiny.addCustomMessageHandler('countdown:start', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.start() + }) + + Shiny.addCustomMessageHandler('countdown:stop', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.stop() + }) + + Shiny.addCustomMessageHandler('countdown:reset', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.reset() + }) + + Shiny.addCustomMessageHandler('countdown:bumpUp', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.bumpUp() + }) + + Shiny.addCustomMessageHandler('countdown:bumpDown', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.bumpDown() + }) + } + }) +})() diff --git a/docs/_site/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 b/docs/_site/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 new file mode 100644 index 00000000..da2ddc2c Binary files /dev/null and b/docs/_site/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 differ diff --git a/docs/_site/slides/libs/header-attrs-2.14/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.14/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.14/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/header-attrs-2.16/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.16/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.16/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/header-attrs-2.17/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.17/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.17/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/header-attrs-2.18/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.18/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.18/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/header-attrs-2.19/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.19/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.19/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/header-attrs-2.20/header-attrs.js b/docs/_site/slides/libs/header-attrs-2.20/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/_site/slides/libs/header-attrs-2.20/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/_site/slides/libs/kePrint-0.0.1/kePrint.js b/docs/_site/slides/libs/kePrint-0.0.1/kePrint.js new file mode 100644 index 00000000..e6fbbfc4 --- /dev/null +++ b/docs/_site/slides/libs/kePrint-0.0.1/kePrint.js @@ -0,0 +1,8 @@ +$(document).ready(function(){ + if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') { + $('[data-toggle="tooltip"]').tooltip(); + } + if ($('[data-toggle="popover"]').popover === 'function') { + $('[data-toggle="popover"]').popover(); + } +}); diff --git a/docs/_site/slides/libs/lightable-0.0.1/lightable.css b/docs/_site/slides/libs/lightable-0.0.1/lightable.css new file mode 100644 index 00000000..3be3be90 --- /dev/null +++ b/docs/_site/slides/libs/lightable-0.0.1/lightable.css @@ -0,0 +1,272 @@ +/*! + * lightable v0.0.1 + * Copyright 2020 Hao Zhu + * Licensed under MIT (https://github.com/haozhu233/kableExtra/blob/master/LICENSE) + */ + +.lightable-minimal { + border-collapse: separate; + border-spacing: 16px 1px; + width: 100%; + margin-bottom: 10px; +} + +.lightable-minimal td { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal th { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal thead tr:last-child th { + border-bottom: 2px solid #00000050; + empty-cells: hide; + +} + +.lightable-minimal tbody tr:first-child td { + padding-top: 0.5em; +} + +.lightable-minimal.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-minimal.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic { + border-top: 0.16em solid #111111; + border-bottom: 0.16em solid #111111; + width: 100%; + margin-bottom: 10px; + margin: 10px 5px; +} + +.lightable-classic tfoot tr td { + border: 0; +} + +.lightable-classic tfoot tr:first-child td { + border-top: 0.14em solid #111111; +} + +.lightable-classic caption { + color: #222222; +} + +.lightable-classic td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic thead tr:last-child th { + border-bottom: 0.10em solid #111111; +} + +.lightable-classic.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic-2 { + border-top: 3px double #111111; + border-bottom: 3px double #111111; + width: 100%; + margin-bottom: 10px; +} + +.lightable-classic-2 tfoot tr td { + border: 0; +} + +.lightable-classic-2 tfoot tr:first-child td { + border-top: 3px double #111111; +} + +.lightable-classic-2 caption { + color: #222222; +} + +.lightable-classic-2 td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic-2 th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic-2 tbody tr:last-child td { + border-bottom: 3px double #111111; +} + +.lightable-classic-2 thead tr:last-child th { + border-bottom: 1px solid #111111; +} + +.lightable-classic-2.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic-2.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #EEE; + border-collapse: collapse; + margin-bottom: 10px; +} + +.lightable-material tfoot tr td { + border: 0; +} + +.lightable-material tfoot tr:first-child td { + border-top: 1px solid #EEE; +} + +.lightable-material th { + height: 56px; + padding-left: 16px; + padding-right: 16px; +} + +.lightable-material td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + border-top: 1px solid #eeeeee; +} + +.lightable-material.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody td { + border: 0; +} + +.lightable-material.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #ddd; +} + +.lightable-material-dark { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #FFFFFF12; + border-collapse: collapse; + margin-bottom: 10px; + background-color: #363640; +} + +.lightable-material-dark tfoot tr td { + border: 0; +} + +.lightable-material-dark tfoot tr:first-child td { + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark th { + height: 56px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF60; +} + +.lightable-material-dark td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF; + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark.lightable-hover tbody tr:hover { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody tr:nth-child(even) { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody td { + border: 0; +} + +.lightable-material-dark.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #FFFFFF12; +} + +.lightable-paper { + width: 100%; + margin-bottom: 10px; + color: #444; +} + +.lightable-paper tfoot tr td { + border: 0; +} + +.lightable-paper tfoot tr:first-child td { + border-top: 1px solid #00000020; +} + +.lightable-paper thead tr:last-child th { + color: #666; + vertical-align: bottom; + border-bottom: 1px solid #00000020; + line-height: 1.15em; + padding: 10px 5px; +} + +.lightable-paper td { + vertical-align: middle; + border-bottom: 1px solid #00000010; + line-height: 1.15em; + padding: 7px 5px; +} + +.lightable-paper.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-paper.lightable-striped tbody tr:nth-child(even) { + background-color: #00000008; +} + +.lightable-paper.lightable-striped tbody td { + border: 0; +} + diff --git a/docs/_site/slides/libs/remark-css-0.0.1/default.css b/docs/_site/slides/libs/remark-css-0.0.1/default.css new file mode 100644 index 00000000..d37bfd25 --- /dev/null +++ b/docs/_site/slides/libs/remark-css-0.0.1/default.css @@ -0,0 +1,72 @@ +a, a > code { + color: rgb(249, 38, 114); + text-decoration: none; +} +.footnote { + position: absolute; + bottom: 3em; + padding-right: 4em; + font-size: 90%; +} +.remark-code-line-highlighted { background-color: #ffff88; } + +.inverse { + background-color: #272822; + color: #d6d6d6; + text-shadow: 0 0 20px #333; +} +.inverse h1, .inverse h2, .inverse h3 { + color: #f3f3f3; +} +/* Two-column layout */ +.left-column { + color: #777; + width: 20%; + height: 92%; + float: left; +} +.left-column h2:last-of-type, .left-column h3:last-child { + color: #000; +} +.right-column { + width: 75%; + float: right; + padding-top: 1em; +} +.pull-left { + float: left; + width: 47%; +} +.pull-right { + float: right; + width: 47%; +} +.pull-right + * { + clear: both; +} +img, video, iframe { + max-width: 100%; +} +blockquote { + border-left: solid 5px lightgray; + padding-left: 1em; +} +.remark-slide table { + margin: auto; + border-top: 1px solid #666; + border-bottom: 1px solid #666; +} +.remark-slide table thead th { border-bottom: 1px solid #ddd; 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AxesLabel AxesOrigin AxesStyle Axis BabyMonsterGroupB Back Background BackgroundTasksSettings Backslash Backsubstitution Backward Band BandpassFilter BandstopFilter BarabasiAlbertGraphDistribution BarChart BarChart3D BarLegend BarlowProschanImportance BarnesG BarOrigin BarSpacing BartlettHannWindow BartlettWindow BaseForm Baseline BaselinePosition BaseStyle BatesDistribution BattleLemarieWavelet Because BeckmannDistribution Beep Before Begin BeginDialogPacket BeginFrontEndInteractionPacket BeginPackage BellB BellY Below BenfordDistribution BeniniDistribution BenktanderGibratDistribution BenktanderWeibullDistribution BernoulliB BernoulliDistribution BernoulliGraphDistribution BernoulliProcess BernsteinBasis BesselFilterModel BesselI BesselJ BesselJZero BesselK BesselY BesselYZero Beta BetaBinomialDistribution BetaDistribution BetaNegativeBinomialDistribution BetaPrimeDistribution BetaRegularized BetweennessCentrality BezierCurve BezierCurve3DBox BezierCurve3DBoxOptions BezierCurveBox BezierCurveBoxOptions BezierFunction BilateralFilter Binarize BinaryFormat BinaryImageQ BinaryRead BinaryReadList BinaryWrite BinCounts BinLists Binomial BinomialDistribution BinomialProcess BinormalDistribution BiorthogonalSplineWavelet BipartiteGraphQ BirnbaumImportance BirnbaumSaundersDistribution BitAnd BitClear BitGet BitLength BitNot BitOr BitSet BitShiftLeft BitShiftRight BitXor Black BlackmanHarrisWindow BlackmanNuttallWindow BlackmanWindow Blank BlankForm BlankNullSequence BlankSequence Blend Block BlockRandom BlomqvistBeta BlomqvistBetaTest Blue Blur BodePlot BohmanWindow Bold Bookmarks Boole BooleanConsecutiveFunction BooleanConvert BooleanCountingFunction BooleanFunction BooleanGraph BooleanMaxterms BooleanMinimize BooleanMinterms Booleans BooleanTable BooleanVariables BorderDimensions BorelTannerDistribution Bottom BottomHatTransform BoundaryStyle Bounds Box BoxBaselineShift BoxData BoxDimensions Boxed Boxes BoxForm BoxFormFormatTypes BoxFrame BoxID BoxMargins BoxMatrix BoxRatios BoxRotation BoxRotationPoint BoxStyle BoxWhiskerChart Bra BracketingBar BraKet BrayCurtisDistance BreadthFirstScan Break Brown BrownForsytheTest BrownianBridgeProcess BrowserCategory BSplineBasis BSplineCurve BSplineCurve3DBox BSplineCurveBox BSplineCurveBoxOptions BSplineFunction BSplineSurface BSplineSurface3DBox BubbleChart BubbleChart3D BubbleScale BubbleSizes BulletGauge BusinessDayQ ButterflyGraph ButterworthFilterModel Button ButtonBar ButtonBox ButtonBoxOptions ButtonCell ButtonContents ButtonData ButtonEvaluator ButtonExpandable ButtonFrame ButtonFunction ButtonMargins ButtonMinHeight ButtonNote ButtonNotebook ButtonSource ButtonStyle ButtonStyleMenuListing Byte ByteCount ByteOrdering C CachedValue CacheGraphics CalendarData CalendarType CallPacket CanberraDistance Cancel CancelButton CandlestickChart Cap CapForm CapitalDifferentialD CardinalBSplineBasis CarmichaelLambda Cases Cashflow Casoratian Catalan CatalanNumber Catch CauchyDistribution CauchyWindow CayleyGraph CDF CDFDeploy CDFInformation CDFWavelet Ceiling Cell CellAutoOverwrite CellBaseline CellBoundingBox CellBracketOptions CellChangeTimes CellContents CellContext CellDingbat CellDynamicExpression CellEditDuplicate CellElementsBoundingBox CellElementSpacings CellEpilog CellEvaluationDuplicate CellEvaluationFunction CellEventActions CellFrame CellFrameColor CellFrameLabelMargins CellFrameLabels CellFrameMargins CellGroup CellGroupData CellGrouping CellGroupingRules CellHorizontalScrolling CellID CellLabel CellLabelAutoDelete CellLabelMargins CellLabelPositioning CellMargins CellObject CellOpen CellPrint CellProlog Cells CellSize CellStyle CellTags CellularAutomaton CensoredDistribution Censoring Center CenterDot CentralMoment CentralMomentGeneratingFunction CForm ChampernowneNumber ChanVeseBinarize Character CharacterEncoding CharacterEncodingsPath CharacteristicFunction CharacteristicPolynomial CharacterRange Characters ChartBaseStyle ChartElementData ChartElementDataFunction ChartElementFunction ChartElements ChartLabels ChartLayout ChartLegends ChartStyle Chebyshev1FilterModel Chebyshev2FilterModel ChebyshevDistance ChebyshevT ChebyshevU Check CheckAbort CheckAll Checkbox CheckboxBar CheckboxBox CheckboxBoxOptions ChemicalData ChessboardDistance ChiDistribution ChineseRemainder ChiSquareDistribution ChoiceButtons ChoiceDialog CholeskyDecomposition Chop Circle CircleBox CircleDot CircleMinus CirclePlus CircleTimes CirculantGraph CityData Clear ClearAll ClearAttributes ClearSystemCache ClebschGordan ClickPane Clip ClipboardNotebook ClipFill ClippingStyle ClipPlanes ClipRange Clock ClockGauge ClockwiseContourIntegral Close Closed CloseKernels ClosenessCentrality Closing ClosingAutoSave ClosingEvent ClusteringComponents CMYKColor Coarse Coefficient CoefficientArrays CoefficientDomain CoefficientList CoefficientRules CoifletWavelet Collect Colon ColonForm ColorCombine ColorConvert ColorData ColorDataFunction ColorFunction ColorFunctionScaling Colorize ColorNegate ColorOutput ColorProfileData ColorQuantize ColorReplace ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorSpace Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CommonDefaultFormatTypes Commonest CommonestFilter CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledFunction Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries Composition CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath Congruent Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateDialog CreateDirectory CreateDocument CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols DeclarePackage Decompose Decrement DedekindEta Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic Deinitialization Del Deletable Delete DeleteBorderComponents DeleteCases DeleteContents DeleteDirectory DeleteDuplicates DeleteFile DeleteSmallComponents DeleteWithContents DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow DisableConsolePrintPacket DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform Discriminant Disjunction Disk DiskBox DiskMatrix Dispatch DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentNotebook DominantColors DOSTextFormat Dot DotDashed DotEqual Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DSolve Dt DualLinearProgramming DualSystemsModel DumpGet DumpSave DuplicateFreeQ Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptions E EccentricityCentrality EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeCost EdgeCount EdgeCoverQ EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData Eliminate EliminationOrder EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InversePermutation InverseRadon InverseSeries InverseSurvivalFunction InverseWaveletTransform InverseWeierstrassP InverseZTransform Invisible InvisibleApplication InvisibleTimes IrreduciblePolynomialQ IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcess JaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join Joined JoinedCurve JoinedCurveBox JoinForm JordanDecomposition JordanModelDecomposition K KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestAscendingSequence LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow Loopback LoopFreeGraphQ LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LyapunovSolve LyonsGroupLy MachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules MangoldtLambda ManhattanDistance Manipulate Manipulator MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixPlot MatrixPower MatrixQ MatrixRank Max MaxBend MaxDetect MaxExtraBandwidths MaxExtraConditions MaxFeatures MaxFilter Maximize MaxIterations MaxMemoryUsed MaxMixtureKernels MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction Monday Monitor MonomialList MonomialOrder MonsterGroupM MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform Most MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovingAverage MovingMedian MoyalDistribution MultiedgeStyle MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistribution N NakagamiDistribution NameQ Names NamespaceBox Nand NArgMax NArgMin NBernoulliB NCache NDSolve NDSolveValue Nearest NearestFunction NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeMultinomialDistribution NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestList NestWhile NestWhileList NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextPrime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants None NonlinearModelFit NonlocalMeansFilter NonNegative NonPositive Nor NorlundB Norm Normal NormalDistribution NormalGrouping Normalize NormalizedSquaredEuclideanDistance NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde NotHumpDownHump NotHumpEqual NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde NotNestedGreaterGreater NotNestedLessLess NotPrecedes NotPrecedesEqual NotPrecedesSlantEqual NotPrecedesTilde NotReverseElement NotRightTriangle NotRightTriangleBar NotRightTriangleEqual NotSquareSubset NotSquareSubsetEqual NotSquareSuperset NotSquareSupersetEqual NotSubset NotSubsetEqual NotSucceeds NotSucceedsEqual NotSucceedsSlantEqual NotSucceedsTilde NotSuperset NotSupersetEqual NotTilde NotTildeEqual NotTildeFullEqual NotTildeTilde NotVerticalBar NProbability NProduct NProductFactors NRoots NSolve NSum NSumTerms Null NullRecords NullSpace NullWords Number NumberFieldClassNumber NumberFieldDiscriminant NumberFieldFundamentalUnits NumberFieldIntegralBasis NumberFieldNormRepresentatives NumberFieldRegulator NumberFieldRootsOfUnity NumberFieldSignature NumberForm NumberFormat NumberMarks NumberMultiplier NumberPadding NumberPoint NumberQ NumberSeparator NumberSigns NumberString Numerator NumericFunction NumericQ NuttallWindow NValues NyquistGridLines NyquistPlot O ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OddQ Off Offset OLEData On ONanGroupON OneIdentity Opacity Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering Orderless OrnsteinUhlenbeckProcess Orthogonalize Out Outer OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OwenT OwnValues PackingMethod PaddedForm Padding PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageWidth PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParetoDistribution Part PartialCorrelationFunction PartialD ParticleData Partition PartitionsP PartitionsQ ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PerformanceGoal PeriodicInterpolation Periodogram PeriodogramArray PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PERTDistribution PetersenGraph PhaseMargins Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest Pink Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarGraphQ Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangePadding PlotRegion PlotStyle Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox PointBox PointFigureChart PointForm PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonBox PolygonBoxOptions PolygonHoleScale PolygonIntersections PolygonScale PolyhedronData PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position Positive PositiveDefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement PredictionRoot PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependTo PreserveImageOptions Previous PriceGraphDistribution PrimaryPlaceholder Prime PrimeNu PrimeOmega PrimePi PrimePowerQ PrimeQ Primes PrimeZetaP PrimitiveRoot PrincipalComponents PrincipalValue Print PrintAction PrintForm PrintingCopies PrintingOptions PrintingPageRange PrintingStartingPageNumber PrintingStyleEnvironment PrintPrecision PrintTemporary Prism PrismBox PrismBoxOptions PrivateCellOptions PrivateEvaluationOptions PrivateFontOptions PrivateFrontEndOptions PrivateNotebookOptions PrivatePaths Probability ProbabilityDistribution ProbabilityPlot ProbabilityPr ProbabilityScalePlot ProbitModelFit ProcessEstimator ProcessParameterAssumptions ProcessParameterQ ProcessStateDomain ProcessTimeDomain Product ProductDistribution ProductLog ProgressIndicator ProgressIndicatorBox ProgressIndicatorBoxOptions Projection Prolog PromptForm Properties Property PropertyList PropertyValue Proportion Proportional Protect Protected ProteinData Pruning PseudoInverse Purple Put PutAppend Pyramid PyramidBox PyramidBoxOptions QBinomial QFactorial QGamma QHypergeometricPFQ QPochhammer QPolyGamma QRDecomposition QuadraticIrrationalQ Quantile QuantilePlot Quantity QuantityForm QuantityMagnitude QuantityQ QuantityUnit Quartics QuartileDeviation Quartiles QuartileSkewness QueueingNetworkProcess QueueingProcess QueueProperties Quiet Quit Quotient QuotientRemainder RadialityCentrality RadicalBox RadicalBoxOptions RadioButton RadioButtonBar RadioButtonBox RadioButtonBoxOptions Radon RamanujanTau RamanujanTauL RamanujanTauTheta RamanujanTauZ Random RandomChoice RandomComplex RandomFunction RandomGraph RandomImage RandomInteger RandomPermutation RandomPrime RandomReal RandomSample RandomSeed RandomVariate RandomWalkProcess Range RangeFilter RangeSpecification RankedMax RankedMin Raster Raster3D Raster3DBox Raster3DBoxOptions RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios Raw RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadList ReadProtected Real RealBlockDiagonalForm RealDigits RealExponent Reals Reap Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate RegionBinarize RegionFunction RegionPlot RegionPlot3D RegularExpression Regularization Reinstall Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot Remove RemoveAlphaChannel RemoveAsynchronousTask Removed RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart Repeated RepeatedNull RepeatedString Replace ReplaceAll ReplaceHeldPart ReplaceImageValue ReplaceList ReplacePart ReplacePixelValue ReplaceRepeated Resampling Rescale RescalingTransform ResetDirectory ResetMenusPacket ResetScheduledTask Residue Resolve Rest Resultant ResumePacket Return ReturnExpressionPacket ReturnInputFormPacket ReturnPacket ReturnTextPacket Reverse ReverseBiorthogonalSplineWavelet ReverseElement ReverseEquilibrium ReverseGraph ReverseUpEquilibrium RevolutionAxis RevolutionPlot3D RGBColor RiccatiSolve RiceDistribution RidgeFilter RiemannR RiemannSiegelTheta RiemannSiegelZ Riffle Right RightArrow RightArrowBar RightArrowLeftArrow RightCosetRepresentative RightDownTeeVector RightDownVector RightDownVectorBar RightTee RightTeeArrow RightTeeVector RightTriangle RightTriangleBar RightTriangleEqual RightUpDownVector RightUpTeeVector RightUpVector RightUpVectorBar RightVector RightVectorBar RiskAchievementImportance RiskReductionImportance RogersTanimotoDissimilarity Root RootApproximant RootIntervals RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulerUnits Run RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilarity SameQ SameTest SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveDefinitions SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTaskActiveQ ScheduledTaskData ScheduledTaskObject ScheduledTasks SchurDecomposition ScientificForm ScreenRectangle ScreenStyleEnvironment ScriptBaselineShifts ScriptLevel ScriptMinSize ScriptRules ScriptSizeMultipliers Scrollbars ScrollingOptions ScrollPosition Sec Sech SechDistribution SectionGrouping SectorChart SectorChart3D SectorOrigin SectorSpacing SeedRandom Select Selectable SelectComponents SelectedCells SelectedNotebook Selection SelectionAnimate SelectionCell SelectionCellCreateCell SelectionCellDefaultStyle SelectionCellParentStyle SelectionCreateCell SelectionDebuggerTag SelectionDuplicateCell SelectionEvaluate SelectionEvaluateCreateCell SelectionMove SelectionPlaceholder SelectionSetStyle SelectWithContents SelfLoops SelfLoopStyle SemialgebraicComponentInstances SendMail Sequence SequenceAlignment SequenceForm SequenceHold SequenceLimit Series SeriesCoefficient SeriesData SessionTime Set SetAccuracy SetAlphaChannel SetAttributes Setbacks SetBoxFormNamesPacket SetDelayed SetDirectory SetEnvironment SetEvaluationNotebook SetFileDate SetFileLoadingContext SetNotebookStatusLine SetOptions SetOptionsPacket SetPrecision SetProperty SetSelectedNotebook SetSharedFunction SetSharedVariable SetSpeechParametersPacket SetStreamPosition SetSystemOptions Setter SetterBar SetterBox SetterBoxOptions Setting SetValue Shading Shallow ShannonWavelet ShapiroWilkTest Share Sharpen ShearingMatrix ShearingTransform ShenCastanMatrix Short ShortDownArrow Shortest ShortestMatch ShortestPathFunction ShortLeftArrow ShortRightArrow ShortUpArrow Show ShowAutoStyles ShowCellBracket ShowCellLabel ShowCellTags ShowClosedCellArea ShowContents ShowControls ShowCursorTracker ShowGroupOpenCloseIcon ShowGroupOpener ShowInvisibleCharacters ShowPageBreaks ShowPredictiveInterface ShowSelection ShowShortBoxForm ShowSpecialCharacters ShowStringCharacters ShowSyntaxStyles ShrinkingDelay ShrinkWrapBoundingBox SiegelTheta SiegelTukeyTest Sign Signature SignedRankTest SignificanceLevel SignPadding SignTest SimilarityRules SimpleGraph SimpleGraphQ Simplify Sin Sinc SinghMaddalaDistribution SingleEvaluation SingleLetterItalics SingleLetterStyle SingularValueDecomposition SingularValueList SingularValuePlot SingularValues Sinh SinhIntegral SinIntegral SixJSymbol Skeleton SkeletonTransform SkellamDistribution Skewness SkewNormalDistribution Skip SliceDistribution Slider Slider2D Slider2DBox Slider2DBoxOptions SliderBox SliderBoxOptions SlideView Slot SlotSequence Small SmallCircle Smaller SmithDelayCompensator SmithWatermanSimilarity SmoothDensityHistogram SmoothHistogram SmoothHistogram3D SmoothKernelDistribution SocialMediaData Socket SokalSneathDissimilarity Solve SolveAlways SolveDelayed Sort SortBy Sound SoundAndGraphics SoundNote SoundVolume Sow Space SpaceForm Spacer Spacings Span SpanAdjustments SpanCharacterRounding SpanFromAbove SpanFromBoth SpanFromLeft SpanLineThickness SpanMaxSize SpanMinSize SpanningCharacters SpanSymmetric SparseArray SpatialGraphDistribution Speak SpeakTextPacket SpearmanRankTest SpearmanRho Spectrogram SpectrogramArray Specularity SpellingCorrection SpellingDictionaries SpellingDictionariesPath SpellingOptions SpellingSuggestionsPacket Sphere SphereBox SphericalBesselJ SphericalBesselY SphericalHankelH1 SphericalHankelH2 SphericalHarmonicY SphericalPlot3D SphericalRegion SpheroidalEigenvalue SpheroidalJoiningFactor SpheroidalPS SpheroidalPSPrime SpheroidalQS SpheroidalQSPrime SpheroidalRadialFactor SpheroidalS1 SpheroidalS1Prime SpheroidalS2 SpheroidalS2Prime Splice SplicedDistribution SplineClosed SplineDegree SplineKnots SplineWeights Split SplitBy SpokenString Sqrt SqrtBox SqrtBoxOptions Square SquaredEuclideanDistance SquareFreeQ SquareIntersection SquaresR SquareSubset SquareSubsetEqual SquareSuperset SquareSupersetEqual SquareUnion SquareWave StabilityMargins StabilityMarginsStyle StableDistribution Stack StackBegin StackComplete StackInhibit StandardDeviation StandardDeviationFilter StandardForm Standardize StandbyDistribution Star StarGraph StartAsynchronousTask StartingStepSize StartOfLine StartOfString StartScheduledTask StartupSound StateDimensions StateFeedbackGains StateOutputEstimator StateResponse StateSpaceModel StateSpaceRealization StateSpaceTransform StationaryDistribution StationaryWaveletPacketTransform StationaryWaveletTransform StatusArea StatusCentrality StepMonitor StieltjesGamma StirlingS1 StirlingS2 StopAsynchronousTask StopScheduledTask StrataVariables StratonovichProcess StreamColorFunction StreamColorFunctionScaling StreamDensityPlot StreamPlot StreamPoints StreamPosition Streams StreamScale StreamStyle String StringBreak StringByteCount StringCases StringCount StringDrop StringExpression StringForm StringFormat StringFreeQ StringInsert StringJoin StringLength StringMatchQ StringPosition StringQ StringReplace StringReplaceList StringReplacePart StringReverse StringRotateLeft StringRotateRight StringSkeleton StringSplit StringTake StringToStream StringTrim StripBoxes 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TagUnset Take TakeWhile Tally Tan Tanh TargetFunctions TargetUnits TautologyQ TelegraphProcess TemplateBox TemplateBoxOptions TemplateSlotSequence TemporalData Temporary TemporaryVariable TensorContract TensorDimensions TensorExpand TensorProduct TensorQ TensorRank TensorReduce TensorSymmetry TensorTranspose TensorWedge Tetrahedron TetrahedronBox TetrahedronBoxOptions TeXForm TeXSave Text Text3DBox Text3DBoxOptions TextAlignment TextBand TextBoundingBox TextBox TextCell TextClipboardType TextData TextForm TextJustification TextLine TextPacket TextParagraph TextRecognize TextRendering TextStyle Texture TextureCoordinateFunction TextureCoordinateScaling Therefore ThermometerGauge Thick Thickness Thin Thinning ThisLink ThompsonGroupTh Thread ThreeJSymbol Threshold Through Throw Thumbnail Thursday Ticks TicksStyle Tilde TildeEqual TildeFullEqual TildeTilde TimeConstrained TimeConstraint Times TimesBy TimeSeriesForecast TimeSeriesInvertibility TimeUsed TimeValue TimeZone Timing Tiny 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alg_type alias allroots alphacharp alphanumericp amortization %and annuity_fv annuity_pv antid antidiff AntiDifference append appendfile apply apply1 apply2 applyb1 apropos args arit_amortization arithmetic arithsum array arrayapply arrayinfo arraymake arraysetapply ascii asec asech asin asinh askinteger asksign assoc assoc_legendre_p assoc_legendre_q assume assume_external_byte_order asympa at atan atan2 atanh atensimp atom atvalue augcoefmatrix augmented_lagrangian_method av average_degree backtrace bars barsplot barsplot_description base64 base64_decode bashindices batch batchload bc2 bdvac belln benefit_cost bern bernpoly bernstein_approx bernstein_expand bernstein_poly bessel bessel_i bessel_j bessel_k bessel_simplify bessel_y beta beta_incomplete beta_incomplete_generalized beta_incomplete_regularized bezout bfallroots bffac bf_find_root bf_fmin_cobyla bfhzeta bfloat bfloatp bfpsi bfpsi0 bfzeta biconnected_components bimetric binomial bipartition block blockmatrixp bode_gain bode_phase bothcoef box boxplot boxplot_description break bug_report build_info|10 buildq build_sample burn cabs canform canten cardinality carg cartan cartesian_product catch cauchy_matrix cbffac cdf_bernoulli cdf_beta cdf_binomial cdf_cauchy cdf_chi2 cdf_continuous_uniform cdf_discrete_uniform cdf_exp cdf_f cdf_gamma cdf_general_finite_discrete cdf_geometric cdf_gumbel cdf_hypergeometric cdf_laplace cdf_logistic cdf_lognormal cdf_negative_binomial cdf_noncentral_chi2 cdf_noncentral_student_t cdf_normal cdf_pareto cdf_poisson cdf_rank_sum cdf_rayleigh cdf_signed_rank cdf_student_t cdf_weibull cdisplay ceiling central_moment cequal cequalignore cf cfdisrep cfexpand cgeodesic cgreaterp cgreaterpignore changename changevar chaosgame charat charfun charfun2 charlist charp charpoly chdir chebyshev_t chebyshev_u checkdiv check_overlaps chinese cholesky christof chromatic_index chromatic_number cint circulant_graph clear_edge_weight clear_rules clear_vertex_label clebsch_gordan clebsch_graph clessp clesspignore close closefile cmetric coeff coefmatrix cograd col collapse collectterms columnop columnspace columnswap columnvector combination combine comp2pui compare compfile compile compile_file complement_graph complete_bipartite_graph complete_graph complex_number_p components compose_functions concan concat conjugate conmetderiv connected_components connect_vertices cons constant constantp constituent constvalue cont2part content continuous_freq contortion contour_plot contract contract_edge contragrad contrib_ode convert coord copy copy_file copy_graph copylist copymatrix cor cos cosh cot coth cov cov1 covdiff covect covers crc24sum create_graph create_list csc csch csetup cspline ctaylor ct_coordsys ctransform ctranspose cube_graph cuboctahedron_graph cunlisp cv cycle_digraph cycle_graph cylindrical days360 dblint deactivate declare declare_constvalue declare_dimensions declare_fundamental_dimensions declare_fundamental_units declare_qty declare_translated declare_unit_conversion declare_units declare_weights decsym defcon define define_alt_display define_variable defint defmatch defrule defstruct deftaylor degree_sequence del delete deleten delta demo demoivre denom depends derivdegree derivlist describe desolve determinant dfloat dgauss_a dgauss_b dgeev dgemm dgeqrf dgesv dgesvd diag diagmatrix diag_matrix diagmatrixp diameter diff digitcharp dimacs_export dimacs_import dimension dimensionless dimensions dimensions_as_list direct directory discrete_freq disjoin disjointp disolate disp dispcon dispform dispfun dispJordan display disprule dispterms distrib divide divisors divsum dkummer_m dkummer_u dlange dodecahedron_graph dotproduct dotsimp dpart draw draw2d draw3d drawdf draw_file draw_graph dscalar echelon edge_coloring edge_connectivity edges eigens_by_jacobi eigenvalues eigenvectors eighth einstein eivals eivects elapsed_real_time elapsed_run_time ele2comp ele2polynome ele2pui elem elementp elevation_grid elim elim_allbut eliminate eliminate_using ellipse elliptic_e elliptic_ec elliptic_eu elliptic_f elliptic_kc elliptic_pi ematrix empty_graph emptyp endcons entermatrix entertensor entier equal equalp equiv_classes erf erfc erf_generalized erfi errcatch error errormsg errors euler ev eval_string evenp every evolution evolution2d evundiff example exp expand expandwrt expandwrt_factored expint expintegral_chi expintegral_ci expintegral_e expintegral_e1 expintegral_ei expintegral_e_simplify expintegral_li expintegral_shi expintegral_si explicit explose exponentialize express expt exsec extdiff extract_linear_equations extremal_subset ezgcd %f f90 facsum factcomb factor factorfacsum factorial factorout factorsum facts fast_central_elements fast_linsolve fasttimes featurep fernfale fft fib fibtophi fifth filename_merge file_search file_type fillarray findde find_root find_root_abs find_root_error find_root_rel first fix flatten flength float floatnump floor flower_snark flush flush1deriv flushd flushnd flush_output fmin_cobyla forget fortran fourcos fourexpand fourier fourier_elim fourint fourintcos fourintsin foursimp foursin fourth fposition frame_bracket freeof freshline fresnel_c fresnel_s from_adjacency_matrix frucht_graph full_listify fullmap fullmapl fullratsimp fullratsubst fullsetify funcsolve fundamental_dimensions fundamental_units fundef funmake funp fv g0 g1 gamma gamma_greek gamma_incomplete gamma_incomplete_generalized gamma_incomplete_regularized gauss gauss_a gauss_b gaussprob gcd gcdex gcdivide gcfac gcfactor gd generalized_lambert_w genfact gen_laguerre genmatrix gensym geo_amortization geo_annuity_fv geo_annuity_pv geomap geometric geometric_mean geosum get getcurrentdirectory get_edge_weight getenv get_lu_factors get_output_stream_string get_pixel get_plot_option get_tex_environment get_tex_environment_default get_vertex_label gfactor gfactorsum ggf girth global_variances gn gnuplot_close gnuplot_replot gnuplot_reset gnuplot_restart gnuplot_start go Gosper GosperSum gr2d gr3d gradef gramschmidt graph6_decode graph6_encode graph6_export graph6_import graph_center graph_charpoly graph_eigenvalues graph_flow graph_order graph_periphery graph_product graph_size graph_union great_rhombicosidodecahedron_graph great_rhombicuboctahedron_graph grid_graph grind grobner_basis grotzch_graph hamilton_cycle hamilton_path hankel hankel_1 hankel_2 harmonic harmonic_mean hav heawood_graph hermite hessian hgfred hilbertmap hilbert_matrix hipow histogram histogram_description hodge horner hypergeometric i0 i1 %ibes ic1 ic2 ic_convert ichr1 ichr2 icosahedron_graph icosidodecahedron_graph icurvature ident identfor identity idiff idim idummy ieqn %if ifactors iframes ifs igcdex igeodesic_coords ilt image imagpart imetric implicit implicit_derivative implicit_plot indexed_tensor indices induced_subgraph inferencep inference_result infix info_display init_atensor init_ctensor in_neighbors innerproduct inpart inprod inrt integerp integer_partitions integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacobi_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_connected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_set julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerre lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomials listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbrot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_deviation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeometric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp orthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hypergeometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_part poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2ele pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode sparse6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_hankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binomial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan tanh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tlimit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trace tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlying_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace uppercasep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poisson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_carmichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit besselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c capping cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependencies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_over doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp erfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expandwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_vertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet genindex gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnuplot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hypergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb logconcoeffp logexpand lognegint logsimp logx logx_secondary logy logy_secondary logz lriem m1pbranch macroexpansion macros mainvar manual_demo maperror mapprint matrix_element_add matrix_element_mult matrix_element_transpose maxapplydepth maxapplyheight maxima_tempdir|10 maxima_userdir|10 maxnegex MAX_ORD maxposex maxpsifracdenom maxpsifracnum maxpsinegint maxpsiposint maxtayorder mesh_lines_color method mod_big_prime mode_check_errorp mode_checkp mode_check_warnp mod_test mod_threshold modular_linear_solver modulus multiplicative multiplicities myoptions nary negdistrib negsumdispflag newline newtonepsilon newtonmaxiter nextlayerfactor niceindicespref nm nmc noeval nolabels nonegative_lp noninteger nonscalar noun noundisp nouns np npi nticks ntrig numer numer_pbranch obase odd oddfun opacity opproperties opsubst optimprefix optionset orientation origin orthopoly_returns_intervals outative outchar packagefile palette partswitch pdf_file pfeformat phiresolution %piargs piece pivot_count_sx pivot_max_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat prompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivide rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck setcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color show_vertex_size show_vertex_type show_vertices show_weight simp 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civilian className clearAllItemsFromBackpack clearBackpackCargo clearBackpackCargoGlobal clearGroupIcons clearItemCargo clearItemCargoGlobal clearItemPool clearMagazineCargo clearMagazineCargoGlobal clearMagazinePool clearOverlay clearRadio clearWeaponCargo clearWeaponCargoGlobal clearWeaponPool closeDialog closeDisplay closeOverlay collapseObjectTree combatMode commandArtilleryFire commandChat commander commandFire commandFollow commandFSM commandGetOut commandingMenu commandMove commandRadio commandStop commandTarget commandWatch comment commitOverlay compile compileFinal completedFSM composeText configClasses configFile configHierarchy configName configProperties configSourceMod configSourceModList connectTerminalToUAV controlNull controlsGroupCtrl copyFromClipboard copyToClipboard copyWaypoints cos count countEnemy countFriendly countSide countType countUnknown createAgent createCenter createDialog createDiaryLink createDiaryRecord createDiarySubject createDisplay createGearDialog createGroup createGuardedPoint createLocation createMarker createMarkerLocal createMenu createMine createMissionDisplay createSimpleTask createSite createSoundSource createTask createTeam createTrigger createUnit createUnit array createVehicle createVehicle array createVehicleCrew createVehicleLocal crew ctrlActivate ctrlAddEventHandler ctrlAutoScrollDelay ctrlAutoScrollRewind ctrlAutoScrollSpeed ctrlChecked ctrlClassName ctrlCommit ctrlCommitted ctrlCreate ctrlDelete ctrlEnable ctrlEnabled ctrlFade ctrlHTMLLoaded ctrlIDC ctrlIDD ctrlMapAnimAdd ctrlMapAnimClear ctrlMapAnimCommit ctrlMapAnimDone ctrlMapCursor ctrlMapMouseOver ctrlMapScale ctrlMapScreenToWorld ctrlMapWorldToScreen ctrlModel ctrlModelDirAndUp ctrlModelScale ctrlParent ctrlPosition ctrlRemoveAllEventHandlers ctrlRemoveEventHandler ctrlScale ctrlSetActiveColor ctrlSetAutoScrollDelay ctrlSetAutoScrollRewind ctrlSetAutoScrollSpeed ctrlSetBackgroundColor ctrlSetChecked ctrlSetEventHandler ctrlSetFade ctrlSetFocus ctrlSetFont ctrlSetFontH1 ctrlSetFontH1B ctrlSetFontH2 ctrlSetFontH2B ctrlSetFontH3 ctrlSetFontH3B ctrlSetFontH4 ctrlSetFontH4B ctrlSetFontH5 ctrlSetFontH5B ctrlSetFontH6 ctrlSetFontH6B ctrlSetFontHeight ctrlSetFontHeightH1 ctrlSetFontHeightH2 ctrlSetFontHeightH3 ctrlSetFontHeightH4 ctrlSetFontHeightH5 ctrlSetFontHeightH6 ctrlSetFontP ctrlSetFontPB ctrlSetForegroundColor ctrlSetModel ctrlSetModelDirAndUp ctrlSetModelScale ctrlSetPosition ctrlSetScale ctrlSetStructuredText ctrlSetText ctrlSetTextColor ctrlSetTooltip ctrlSetTooltipColorBox ctrlSetTooltipColorShade ctrlSetTooltipColorText ctrlShow ctrlShown ctrlText ctrlTextHeight ctrlType ctrlVisible curatorAddons curatorCamera curatorCameraArea curatorCameraAreaCeiling curatorCoef curatorEditableObjects curatorEditingArea curatorEditingAreaType curatorMouseOver curatorPoints curatorRegisteredObjects curatorSelected curatorWaypointCost currentChannel currentCommand currentMagazine currentMagazineDetail currentMagazineDetailTurret currentMagazineTurret currentMuzzle currentNamespace currentTask currentTasks currentThrowable currentVisionMode currentWaypoint currentWeapon currentWeaponMode currentWeaponTurret currentZeroing cursorTarget customChat customRadio cutFadeOut cutObj cutRsc cutText damage date dateToNumber daytime deActivateKey debriefingText debugFSM debugLog deg deleteAt deleteCenter deleteCollection deleteEditorObject deleteGroup deleteIdentity deleteLocation deleteMarker deleteMarkerLocal deleteRange deleteResources deleteSite deleteStatus deleteTeam deleteVehicle deleteVehicleCrew deleteWaypoint detach detectedMines diag activeMissionFSMs diag activeSQFScripts diag activeSQSScripts diag captureFrame diag captureSlowFrame diag fps diag fpsMin diag frameNo diag log diag logSlowFrame diag tickTime dialog diarySubjectExists didJIP didJIPOwner difficulty difficultyEnabled difficultyEnabledRTD direction directSay disableAI disableCollisionWith disableConversation disableDebriefingStats disableSerialization disableTIEquipment disableUAVConnectability disableUserInput displayAddEventHandler displayCtrl displayNull displayRemoveAllEventHandlers displayRemoveEventHandler displaySetEventHandler dissolveTeam distance distance2D distanceSqr distributionRegion doArtilleryFire doFire doFollow doFSM doGetOut doMove doorPhase doStop doTarget doWatch drawArrow drawEllipse drawIcon drawIcon3D drawLine drawLine3D drawLink drawLocation drawRectangle driver drop east echo editObject editorSetEventHandler effectiveCommander emptyPositions enableAI enableAIFeature enableAttack enableCamShake enableCaustics enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableTeamSwitch enableUAVConnectability enableUAVWaypoints endLoadingScreen endMission engineOn enginesIsOnRTD enginesRpmRTD enginesTorqueRTD entities estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination eyeDirection eyePos face faction fadeMusic fadeRadio fadeSound fadeSpeech failMission fillWeaponsFromPool find findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagOwner fleeing floor flyInHeight fog fogForecast fogParams forceAddUniform forceEnd forceMap forceRespawn forceSpeed forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeLook fromEditor fuel fullCrew gearSlotAmmoCount gearSlotData getAllHitPointsDamage getAmmoCargo getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssignedCuratorLogic getAssignedCuratorUnit getBackpackCargo getBleedingRemaining getBurningValue getCargoIndex getCenterOfMass getClientState getConnectedUAV getDammage getDescription getDir getDirVisual getDLCs getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getFatigue getFriend getFSMVariable getFuelCargo getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getModelInfo getNumber getObjectArgument getObjectChildren getObjectDLC getObjectMaterials getObjectProxy getObjectTextures getObjectType getObjectViewDistance getOxygenRemaining getPersonUsedDLCs getPlayerChannel getPlayerUID getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getRepairCargo getResolution getShadowDistance getSlingLoad getSpeed getSuppression getTerrainHeightASL getText getVariable getWeaponCargo getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupId groupOwner groupRadio groupSelectedUnits groupSelectUnit grpNull gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hasInterface hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in incapacitatedState independent inflame inflamed inGameUISetEventHandler inheritsFrom initAmbientLife inputAction inRangeOfArtillery insertEditorObject intersect isAbleToBreathe isAgent isArray isAutoHoverOn isAutonomous isAutotest isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDedicated isDLCAvailable isEngineOn isEqualTo isFlashlightOn isFlatEmpty isForcedWalk isFormationLeader isHidden isInRemainsCollector isInstructorFigureEnabled isIRLaserOn isKeyActive isKindOf isLightOn isLocalized isManualFire isMarkedForCollection isMultiplayer isNil isNull isNumber isObjectHidden isObjectRTD isOnRoad isPipEnabled isPlayer isRealTime isServer isShowing3DIcons isSteamMission isStreamFriendlyUIEnabled isText isTouchingGround isTurnedOut isTutHintsEnabled isUAVConnectable isUAVConnected isUniformAllowed isWalking isWeaponDeployed isWeaponRested itemCargo items itemsWithMagazines join joinAs joinAsSilent joinSilent joinString kbAddDatabase kbAddDatabaseTargets kbAddTopic kbHasTopic kbReact kbRemoveTopic kbTell kbWasSaid keyImage keyName knowsAbout land landAt landResult language laserTarget lbAdd lbClear lbColor lbCurSel lbData lbDelete lbIsSelected lbPicture lbSelection lbSetColor lbSetCurSel lbSetData lbSetPicture lbSetPictureColor lbSetPictureColorDisabled lbSetPictureColorSelected lbSetSelectColor lbSetSelectColorRight lbSetSelected lbSetTooltip lbSetValue lbSize lbSort lbSortByValue lbText lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineBreak lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbSetColor lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetText lnbSetValue lnbSize lnbText lnbValue load loadAbs loadBackpack loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest local localize locationNull locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCargo lockedDriver lockedTurret lockTurret lockWP log logEntities lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerColor markerDir markerPos markerShape markerSize markerText markerType max members min mineActive mineDetectedBy missionConfigFile missionName missionNamespace missionStart mod modelToWorld modelToWorldVisual moonIntensity morale move moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name name location nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openMap openYoutubeVideo opfor or orderGetIn overcast overcastForecast owner param params parseNumber parseText parsingNamespace particlesQuality pi pickWeaponPool pitch playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority private processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioVolume rain rainbow random rank rankId rating rectangular registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall removeAction removeAllActions removeAllAssignedItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllPrimaryWeaponItems removeAllWeapons removeBackpack removeBackpackGlobal removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeVest removeWeapon removeWeaponGlobal removeWeaponTurret requiredVersion resetCamShake resetSubgroupDirection resistance resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeEndPosition ropeLength ropes ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY saveGame saveIdentity saveJoysticks saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenToWorld scriptDone scriptName scriptNull scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionPosition selectLeader selectNoPlayer selectPlayer selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage serverCommand serverCommandAvailable serverCommandExecutable serverName serverTime set setAccTime setAirportSide setAmmo setAmmoCargo setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setBehaviour setBleedingRemaining setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatMode setCompassOscillation setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDir setDirection setDrawIcon setDropInterval setEditorMode setEditorObjectScope setEffectCondition setFace setFaceAnimation setFatigue setFlagOwner setFlagSide setFlagTexture setFog setFog array setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupId setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setIdentity setImportance setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightnings setLightUseFlare setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPos setMarkerPosLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMimic setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectProxy setObjectTexture setObjectTextureGlobal setObjectViewDistance setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotLight setPiPEffect setPitch setPlayable setPlayerRespawnTime setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setShadowDistance setSide setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimulWeatherLayers setSize setSkill setSkill array setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStatValue setSuppression setSystemOfUnits setTargetAge setTaskResult setTaskState setTerrainGrid setText setTimeMultiplier setTitleEffect setTriggerActivation setTriggerArea setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setType setUnconscious setUnitAbility setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnloadInCombat setUserActionText setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleId setVehicleLock setVehiclePosition setVehicleTiPars setVehicleVarName setVelocity setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWaves setWaypointBehaviour setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointFormation setWaypointHousePosition setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWind setWindDir setWindForce setWindStr setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGPS showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGPS shownHUD shownMap shownPad shownRadio shownUAVFeed shownWarrant shownWatch showPad showRadio showSubtitles showUAVFeed showWarrant showWatch showWaypoint side sideChat sideEnemy sideFriendly sideLogic sideRadio sideUnknown simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speed speedMode splitString sqrt squadParams stance startLoadingScreen step stop stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint synchronizeWaypoint trigger systemChat systemOfUnits tan targetKnowledge targetsAggregate targetsQuery taskChildren taskCompleted taskDescription taskDestination taskHint taskNull taskParent taskResult taskState teamMember teamMemberNull teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL text text location textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toLower toString toUpper triggerActivated triggerActivation triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCount tvCurSel tvData tvDelete tvExpand tvPicture tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetTooltip tvSetValue tvSort tvSortByValue tvText tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines unitAddons unitBackpack unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAudioTimeForMoves vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorMagnitude vectorMagnitudeSqr vectorMultiply vectorNormalized vectorUp vectorUpVisual vehicle vehicleChat vehicleRadio vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGPS visibleMap visiblePosition visiblePositionASL visibleWatch waitUntil waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointBehaviour waypointCombatMode waypointCompletionRadius waypointDescription waypointFormation waypointHousePosition waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponCargo weaponDirection weaponLowered weapons weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD west WFSideText wind windDir windStr wingsForcesRTD worldName worldSize worldToModel worldToModelVisual worldToScreen _forEachIndex _this _x", +literal:"true false nil"},contains:[e.C_LINE_COMMENT_MODE,e.C_BLOCK_COMMENT_MODE,e.NUMBER_MODE,a,t.preprocessor],illegal:/#/}}},{name:"sql",create:function(e){var t=e.COMMENT("--","$");return{case_insensitive:!0,illegal:/[<>{}*#]/,contains:[{beginKeywords:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",end:/;/,endsWithParent:!0,lexemes:/[\w\.]+/,keywords:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans 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merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions 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+ +.remark__tile-view__slide-container { + margin: 0 auto; +} + +.remark__tile-view__tile--current { + background: #ffd863; + border: 5px solid #ffd863; + margin: calc(0.5em - 5px); + border-radius: 0; +} + +.remark__tile-view__tile--seen { + opacity: 0.5; +} + +.remark__tile-view__tile:hover { + /* background: #993d70; */ + background: #44bc96; + opacity: 1; +} diff --git a/docs/_site/slides/libs/tile-view-0.2.6/tile-view.js b/docs/_site/slides/libs/tile-view-0.2.6/tile-view.js new file mode 100644 index 00000000..bb31dc2f --- /dev/null +++ b/docs/_site/slides/libs/tile-view-0.2.6/tile-view.js @@ -0,0 +1,177 @@ +/* + * Tile View for remark.js Slides + * + * Garrick Aden-Buie + * + * Inspired and converted to Vanilla JS from + * https://github.com/StephenHesperus/remark-hook/ + * + * Include after remarkjs slides are initialized. + * + */ + +/* global slideshow */ +(function () { + const ready = function (fn) { + /* MIT License Copyright (c) 2016 Nuclei */ + /* https://github.com/nuclei/readyjs */ + const completed = () => { + document.removeEventListener('DOMContentLoaded', completed) + window.removeEventListener('load', completed) + fn() + } + if (document.readyState !== 'loading') { + setTimeout(fn) + } else { + document.addEventListener('DOMContentLoaded', completed) + window.addEventListener('load', completed) + } + } + + ready(function () { + const launchKey = 79 // keycode for O, used to enable tile view + + // Slides container + const remarkSlideShow = document.querySelector('div.remark-slides-area') + + let tileView = document.querySelector('div.remark__tile-view') + if (!tileView) { + tileView = document.createElement('div') + tileView.className = 'remark__tile-view' + } + + const toggleElement = el => { + el.style.display = el.style.display === 'none' ? '' : 'none' + } + + function slideshowResize () { + window.dispatchEvent(new Event('resize')) + } + + const toggleTileView = function () { + toggleElement(tileView) + toggleElement(remarkSlideShow) + + if (tileView.style.display === 'none') { + // tileView is now hidden, go to current slide + slideshow.gotoSlide(tileVars.currentSlideIdx + 1) + + slideshow.resume() + slideshowResize() + } else { + // store current slide index prior to launching tile-view + tileVars.currentSlideIdx = slideshow.getCurrentSlideIndex() + + // set class on seen and current slide and scroll into view + const tiles = tileView.querySelectorAll('.remark__tile-view__tile'); + [...tiles].forEach((tile, idx) => { + tile.classList.toggle( + 'remark__tile-view__tile--seen', + idx < tileVars.currentSlideIdx + ) + tile.classList.toggle( + 'remark__tile-view__tile--current', + idx === tileVars.currentSlideIdx + ) + }) + tiles[tileVars.currentSlideIdx].scrollIntoView({ + behavior: 'smooth', + block: 'center' + }) + + slideshow.pause() + } + } + + const createTileView = ({ minSize = 250, title = document.title } = {}) => { + // Tile view header + const h1 = document.createElement('h1') + h1.className = 'remark__tile-view__header' + h1.innerHTML = title + + tileView.appendChild(h1) + const tiles = document.createElement('div') + tiles.className = 'remark__tile-view__tiles' + tileView.appendChild(tiles) + + // Clone slideshow + const slidesArea = remarkSlideShow.cloneNode(true) + + // Calculate slide scale and tile container size + const slideScaler = slidesArea.querySelector('.remark-slide-scaler') + const slideWidth = parseFloat(slideScaler.style.width.replace('px', '')) + const slideHeight = parseFloat( + slideScaler.style.height.replace('px', '') + ) + const scale = minSize / Math.min(slideWidth, slideHeight) + let tileWidth = Math.round(slideWidth * scale) + let tileHeight = Math.round(slideHeight * scale) + + // convert tileWidth/Height to em relative to base 18px (set in CSS) + tileWidth = tileWidth / 18 + tileHeight = tileHeight / 18 + + tiles.style.gridTemplateColumns = `repeat(auto-fill, minmax(${tileWidth}em, 1fr))` + + const slides = slidesArea.querySelectorAll('.remark-slide-container') + + slides.forEach((slide, slideIndex) => { + let tile = document.createElement('template') + tile.innerHTML = `
    +
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    ` + tile = tile.content.firstChild + + const tileContainer = tile.querySelector( + '.remark__tile-view__slide-container' + ) + tileContainer.style.width = `${tileWidth}em` + tileContainer.style.height = `${tileHeight}em` + + const thisSlideScaler = slide.querySelector('.remark-slide-scaler') + thisSlideScaler.style.top = '0px' + thisSlideScaler.style.left = '0px' + thisSlideScaler.style.transform = `scale(${scale})` + thisSlideScaler.parentElement.classList.add('remark-visible') + + slide.addEventListener('click', () => { + tileVars.currentSlideIdx = slideIndex + toggleTileView() + }) + + tileContainer.appendChild(slide) + tiles.appendChild(tile) + }) + + document.body.appendChild(tileView) + } + + const tileVars = {} + + document.addEventListener('keydown', ev => { + if (ev.keyCode === launchKey) { + toggleTileView() + } + }) + + const addTileViewHelpText = () => { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 'o' + newRow.innerHTML += 'Tile View: Overview of Slides' + helpTable.append(newRow) + } + + createTileView({ minSize: 200 }) + toggleElement(tileView) + addTileViewHelpText() + }) +})() diff --git a/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css b/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css new file mode 100644 index 00000000..ba9f03ed --- /dev/null +++ b/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css @@ -0,0 +1,306 @@ +/* Animations by animate.css */ + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +/* shareagain css rules */ +.shareagain-bar { + --shareagain-background: #00000088; + --shareagain-foreground: #FFFFFF; + --shareagain-twitter: inline-block; + --shareagain-facebook: inline-block; + --shareagain-linkedin: inline-block; + --shareagain-pinterest: inline-block; + --shareagain-pocket: inline-block; + --shareagain-reddit: inline-block; +} + +.shareagain-bar { + position: absolute; + bottom: 0; + left: 0; + right: 0; + height: 66px; + z-index: 1000; +} + +.shareagain-bar ul { + background: var(--shareagain-background); + color: var(--shareagain-foreground); + display: grid; + grid-template-columns: auto 1fr auto; + grid-gap: 5px; + justify-items: center; + align-items: center; + font-family: sans-serif; + list-style: none; + padding-left: 0; + margin: 0; + height: 100%; + width: 100%; +} + +.shareagain-buttons { + height: 100%; +} + +.shareagain-button { + height: 100%; + width: 66px; + border: none; + padding: 15px; + color: var(--shareagain-foreground); + background: transparent; +} + +.shareagain-button:hover { + background: rgba(0,0,0,.25); +} + +.shareagain-button.disabled { + color: #aaa; + cursor: not-allowed; +} + +.shareagain-button svg { + height: 100%; + width: 100%; +} + +.shareagain-button svg path { + stroke-width: 1px; +} + +.shareagain-title { + font-size: 24px; + text-align: center; + max-height: 100%; + overflow: hidden; +} + +.shareagain-bar .shareon { + font-size: 0 !important; + position: absolute; + top: -45px; + width: 100vw; + right: 0; + text-align: right; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); +} + +.shareagain-bar .shareon > .link { + background-color: #cacaca; +} +.shareagain-bar .shareon > .link::before { + background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 24 24' stroke='currentColor' class='clipboard-copy w-6 h-6'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3'%3E%3C/path%3E%3C/svg%3E"); +} + +.shareagain-bar .shareon > .link.success::before { + background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 24 24' stroke='currentColor' class='clipboard-check w-6 h-6'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4'%3E%3C/path%3E%3C/svg%3E"); +} + +.shareagain-bar .shareon .twitter { display: var(--shareagain-twitter); } +.shareagain-bar .shareon .facebook { display: var(--shareagain-facebook); } +.shareagain-bar .shareon .linkedin { display: var(--shareagain-linkedin); } +.shareagain-bar .shareon .pinterest { display: var(--shareagain-pinterest); } +.shareagain-bar .shareon .pocket { display: var(--shareagain-pocket); } +.shareagain-bar .shareon .reddit { display: var(--shareagain-reddit); } + +@media screen and (max-width: 600px) { + .shareagain-bar { + font-size: 10px; + height: 50px; + } + .shareagain-buttons .shareagain-button { + width: 50px; + } + .shareagain-title { + font-size: 16px; + } +} +@media screen and (max-width: 400px) { + .shareagain-bar { + height: 30px; + } + .shareagain-bar ul { + grid-template-columns: auto auto; + justify-content: space-between; + } + .shareagain-bar .shareagain-title { + display: none; + } + .shareagain-buttons .shareagain-button { + width: 30px; + padding: 5px; + } +} + +@media screen and (max-width: 400px) { + .shareagain-bar { + height: 30px; + } + .shareagain-bar ul { + grid-template-columns: auto auto; + justify-content: space-between; + } + .shareagain-bar .shareagain-title { + display: none; + } + .shareagain-buttons .shareagain-button { + width: 30px; + padding: 5px; + } + .shareagain-buttons .shareon > * { + width: 15px; + height: 20px; + } + .shareagain-buttons .shareon > ::before { + transform: scale(0.66); + top: 7px; + } + .shareagain-buttons .shareon .link { + width: 23px; + } + .shareagain-buttons .shareon > .link::before { + top: 5px; + left: 6px; + } +} diff --git a/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js b/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js new file mode 100644 index 00000000..a67178be --- /dev/null +++ b/docs/_site/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js @@ -0,0 +1,262 @@ +/* global slideshow,ClipboardJS */ +(function () { + function inIframe () { + try { + return window.self !== window.top && + !window.self.location.href.match('viewer_pane=1') // in RStudio + } catch (e) { + return true + } + } + + if (!inIframe()) return + + const ready = function (fn) { + /* MIT License Copyright (c) 2016 Nuclei */ + /* https://github.com/nuclei/readyjs */ + const completed = () => { + document.removeEventListener('DOMContentLoaded', completed) + window.removeEventListener('load', completed) + fn() + } + if (document.readyState !== 'loading') { + setTimeout(fn) + } else { + document.addEventListener('DOMContentLoaded', completed) + window.addEventListener('load', completed) + } + } + + ready(addShareAgainBar) + + function addShareAgainBar () { + const icons = { + left: '', + right: '', + fullScreen: '', + share: '' + } + + function getAuthor () { + let author = document.head.querySelector('meta[name="author"]') + + if (author) { + author = author.content + ' — ' + } else { + author = '' + } + return author + } + + function truncate (str, n, useWordBoundary = true) { + if (str.length <= n) { return str } + const subString = str.substr(0, n - 1) + return (useWordBoundary + ? subString.substr(0, subString.lastIndexOf(' ')) + : subString) + '…' + }; + + function getShortTitle () { + return truncate(window.document.title || '', 50) + } + + const navbar = document.createElement('nav') + navbar.classList.add('shareagain-bar') + + navbar.innerHTML += `
      +
    • + + +
      • +
    • ${getShortTitle()}
      • +
    • + + +
      + + + + + + + +
      +
      • +
    ` + + const slidesContainer = document.querySelector(':not(html).remark-container') + slidesContainer.appendChild(navbar) + + const btnSlidePrev = document.getElementById('shareagain-slide-prev') + const btnSlideNext = document.getElementById('shareagain-slide-next') + + function toggleSlideButtons (slideIndex) { + if (typeof slideIndex === 'undefined') { + slideIndex = slideshow.getCurrentSlideIndex() + } + + // Toggle next slide button + if (slideIndex + 1 === slideshow.getSlideCount()) { + btnSlideNext.classList.add('disabled') + btnSlideNext.setAttribute('disabled', true) + } else { + btnSlideNext.classList.remove('disabled') + btnSlideNext.removeAttribute('disabled') + } + + // Toggle prev slide button + if (slideIndex === 0) { + btnSlidePrev.classList.add('disabled') + btnSlidePrev.setAttribute('disabled', true) + } else { + btnSlidePrev.classList.remove('disabled') + btnSlidePrev.removeAttribute('disabled') + } + } + + setTimeout(toggleSlideButtons, 100) + + // button click events + btnSlidePrev.addEventListener('click', function (ev) { + slideshow.gotoPreviousSlide() + }) + + btnSlideNext.addEventListener('click', function (ev) { + slideshow.gotoNextSlide() + }) + + // button touch events (block remarkjs slide change on touch) + btnSlidePrev.addEventListener('touchend', function (ev) { + ev.preventDefault() + slideshow.gotoPreviousSlide() + ev.stopPropagation() + }) + + btnSlideNext.addEventListener('touchend', function (ev) { + ev.preventDefault() + slideshow.gotoNextSlide() + ev.stopPropagation() + }); + + // show/hide share buttons + ['click', 'touchend'].map(function (evType) { + document.getElementById('shareagain-share').addEventListener(evType, function (ev) { + toggleShareButtons() + ev.preventDefault() + ev.stopPropagation() + }) + }) + + navbar.addEventListener('touchend', function (ev) { + ev.preventDefault() + ev.stopPropagation() + }) + + // copy slides link to clipboard + const shareClip = new ClipboardJS('.shareon .link') + shareClip.on('success', function (e) { + const el = document.querySelector('.shareon .link') + el.classList.add('success') + setTimeout(() => el.classList.remove('success'), 2500) + }) + + slideshow.on('afterShowSlide', function (slide) { + toggleSlideButtons(slide.getSlideIndex()) + }) + + function toggleAnimated ({ selector, show, inClass, outClass }) { + const el = document.querySelector(selector) + const isShown = el.classList.contains(inClass) + if (typeof show === 'undefined') { + show = !isShown + } + if (show === isShown) { + return + } + if (show) { + el.classList.remove(outClass) + el.classList.add(inClass) + } else { + el.classList.remove(inClass) + el.classList.add(outClass) + } + } + + let isCurrentlyFullScreen = false + document.addEventListener('fullscreenchange', (event) => { + if (document.fullscreenElement) { + stopAutoHide(false) + isCurrentlyFullScreen = true + } else { + isCurrentlyFullScreen = false + startAutoHide() + } + }) + + function toggleNavBar (show) { + // do nothing if currently fullscreen + if (isCurrentlyFullScreen) return + + toggleAnimated({ selector: '.shareagain-bar ul', show, inClass: 'slideInUp', outClass: 'slideOutDown' }) + if (!show) toggleShareButtons(false) + } + + function toggleShareButtons (show) { + toggleAnimated({ selector: '.shareagain-bar .shareon', show, inClass: 'slideInRight', outClass: 'slideOutRight' }) + } + + // auto hide the share bar when focus is in the slides + let mouseMoveTimer = null + function hideNavDelayed (ev) { + if (mouseMoveTimer) { + clearTimeout(mouseMoveTimer) + } + toggleNavBar(true) + mouseMoveTimer = setTimeout(function () { toggleNavBar(false) }, 2000) + }; + + // toggle toggle full screen + ['click', 'touchend'].map(function (evType) { + document.getElementById('shareagain-fullscreen').addEventListener(evType, function (ev) { + slideshow.toggleFullscreen() + ev.stopPropagation() + }) + }) + + function startAutoHide () { + hideNavDelayed() + slidesContainer.addEventListener('mousemove', hideNavDelayed) + } + + function stopAutoHide (showAfter = false) { + slidesContainer.removeEventListener('mousemove', hideNavDelayed) + clearTimeout(mouseMoveTimer) + toggleNavBar(showAfter) + } + + // auto hide turns on when the mouse comes into the slides area + slidesContainer.addEventListener('mouseenter', function () { + startAutoHide() + }) + + // turn off auto hide when the mouse leaves the slides area + slidesContainer.addEventListener('mouseleave', function () { + stopAutoHide(true) + }); + + // turn off auto hide if the mouse or focus is in the share bar + ['focusin', 'mouseenter'].map(function (evType) { + navbar.addEventListener(evType, function () { + stopAutoHide(true) + }) + }); + + // and turn auto hide back on whne the mouse leaves the share bar + // (if mouse exits out of the slides area, the slidesContainer should fire later) + ['focusout', 'mouseleave'].map(function (evType) { + navbar.addEventListener(evType, function () { + startAutoHide() + }) + }) + } +})() diff --git a/docs/assignment/01-practico.html b/docs/assignment/01-practico.html new file mode 100644 index 00000000..de462cc6 --- /dev/null +++ b/docs/assignment/01-practico.html @@ -0,0 +1,1154 @@ + + + + + + + + + + +Distribución Normal e Intervalos de Confianza – Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + +
    + +
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    + + + +
    + +
    +

    Distribución Normal e Intervalos de Confianza

    + +
    +

    Sesión del martes, 27 de agosto de 2024

    +
    +
    + + +
    +

    Objetivo de la práctica

    +

    El objetivo de esta guía práctica es introducirnos en la inferencia estadística, revisando los conceptos y aplicaciones de la curva normal y las probabilidades bajo esta con puntajes Z, además del cálculo de intervalos de confianza.

    +

    En detalle, aprenderemos y recordaremos:

    +
      +
    1. Los conceptos de promedio y desviación estándar
      2. +
    2. Qué es la probabilidad y su aplicación para estadística
      3. +
    3. Qué es la distribución normal
      4. +
    4. Cómo calcular e interpretar intervalos de confianza
      5. +
    +
    +

    Librerías

    +

    Cargaremos algunas librerías que serán necesarias en las diferentes partes de esta guía práctica:

    +
    +
    library(pacman)
+pacman::p_load(tidyverse, # para sintaxis
+               ggplot2,   # para gráficos
+               car,       # para recodificar
+               psych,     # para analizar datos
+               sjmisc,    # para analizar datos
+               srvyr,     # para estimación de IC y ponderadores
+               Publish)   # para IC)    
+
+options(scipen = 999) # para desactivar notacion cientifica
+rm(list = ls())       # para limpar el entonrno de trabajo
    +
    +
    +
    +
    +

    1. Promedio y desviación estándar

    +

    El promedio y la desviación estándar son conceptos fundamentales para continuar hacia la estadística inferencial. Repasemos estos conceptos mediante un ejercicio con datos simulados.

    +

    Primero, generaremos un vector de 100 valores aleatorios con \(\mu = 5\) y \(\sigma = 2\), y lo visualizaremos con la función print.

    +
    +
    set.seed(123) # Fijar la semilla para reproducibilidad
+vector <- rnorm(100, mean = 5, sd = 2)
+print(vector) # Ver el vector generado
    +
    +
      [1] 3.8790487 4.5396450 8.1174166 5.1410168 5.2585755 8.4301300 5.9218324
+  [8] 2.4698775 3.6262943 4.1086761 7.4481636 5.7196277 5.8015429 5.2213654
+ [15] 3.8883177 8.5738263 5.9957010 1.0667657 6.4027118 4.0544172 2.8643526
+ [22] 4.5640502 2.9479911 3.5422175 3.7499215 1.6266134 6.6755741 5.3067462
+ [29] 2.7237261 7.5076298 5.8529284 4.4098570 6.7902513 6.7562670 6.6431622
+ [36] 6.3772805 6.1078353 4.8761766 4.3880747 4.2390580 3.6105860 4.5841654
+ [43] 2.4692073 9.3379119 7.4159240 2.7537828 4.1942303 4.0666893 6.5599302
+ [50] 4.8332619 5.5066370 4.9429065 4.9142591 7.7372046 4.5484580 8.0329412
+ [57] 1.9024944 6.1692275 5.2477085 5.4318831 5.7592790 3.9953531 4.3335852
+ [64] 2.9628492 2.8564175 5.6070573 5.8964196 5.1060085 6.8445349 9.1001694
+ [71] 4.0179377 0.3816622 7.0114770 3.5815985 3.6239828 7.0511427 4.4304540
+ [78] 2.5585646 5.3626070 4.7222173 5.0115284 5.7705608 4.2586799 6.2887531
+ [85] 4.5590269 5.6635639 7.1936780 5.8703630 4.3481368 7.2976152 6.9870077
+ [92] 6.0967939 5.4774635 3.7441878 7.7213049 3.7994808 9.3746660 8.0652213
+ [99] 4.5285993 2.9471582
    +
    +
    +

    ¿Cómo se vería la distribución de este vector aleatorio? Primero realizaremos un gráfico de histograma con la función hist y luego uno de cajas con la función boxplot.

    +
    +
    hist(vector,main="Histograma del Vector",xlab="Valor",ylab="Frecuencia",col="cyan4",border="black")
    +
    +
    +
    +

    +
    +
    +
    +
    +
    +
    boxplot(vector,main="Diagrama de Caja del Vector aleatorio",ylab="Valor",col="cyan3")
    +
    +
    +
    +

    +
    +
    +
    +
    +

    Ahora, calculamos la media y la desviación estándar del vector:

    +
    +
    media <- mean(vector)
+desv_estandar <- sd(vector)
+
+cat("Media:", media, "\n")
    +
    +
    Media: 5.180812
    +
    +
    cat("Desviación Estándar:", desv_estandar, "\n")
    +
    +
    Desviación Estándar: 1.825632
    +
    +
    +

    La media, que es una medida de tendencia central, nos presenta un valor que resume nuestros datos aproximándonos al “centro” de la distribución. Y la desviación estándar es una medida de dispersión que nos presenta un valor que resume nuestros datos en cuanto a qué tan “dispersos” se encuentran.

    +

    En el caso de nuestro vector, creado con datos aleatorios, la media \(\bar{x} = 5,18\) nos muestra que el promedio de los datos se encuentra en torno a 5,2.

    +

    Ahora, recordemos la fórmula de la desviación estándar:

    +

    \[ +s = \sqrt{\frac{\sum_{i=1}^{n} (x_i-\bar{x})^2 }{N-1}} +\]

    +

    Donde:

    +
      +

    • \(N\) es el tamaño del vector,

      • +

    • \(x_i\) son los valores individuales del vector,

      • +

    • \(\bar{x}\) es la media del vector.

      • +
    +

    La desviación estándar corresponde, entonces, a un promedio de lo que cada valor se aleja del promedio del vector. En el caso de nuestro vector, \(s = 1,82\) nos muestra que en promedio los datos se alejan 1,82 puntos del promedio.

    +

    La desviación estándar es un concepto clave para Inferencia Estadística.

    +
    +
    +
    + +
    +
    +Nota +
    +
    +
    +

    Antes de seguir, recordemos que…

    +

    Llamamos inferencia estadística al ejercicio de extrapolar determinadas estimaciones (estadísticos) de una muestra a una población más grande (parámetros). En concreto, es el proceso de realizar conclusiones o predicciones sobre una población a partir de una muestra o subconjunto de esa población.

    +

    +

    La probabilidad de error indica en qué medida nos estamos equivocando (o estamos dispuestos a estar equivocados) en tratar de extrapolar una estimación muestral a la población.

    +
    +
    +
    +
    +

    2. Probabilidad

    +

    Para pensar en la idea de probabilidad realicemos la tarea propuesta en la Clase de Inferencia 1. En esta tarea se buscaba generar los resultados posibles al lanzar dos dados. Primero se busca sumar los resultados entregados por ambos dados, y luego promediar los resultados:

    +
    +
    # Generar todas las combinaciones posibles de dos dados
+dado1 <- rep(1:6, each = 6)
+dado2 <- rep(1:6, times = 6)
+
+# Calcular la suma y el promedio para cada combinación
+suma <- dado1 + dado2
+promedio <- suma / 2
+
+# Crear un data frame con los resultados
+resultados <- data.frame(dado1, dado2, suma, promedio)
+
+# Mostrar el data frame
+print(resultados)
    +
    +
       dado1 dado2 suma promedio
+1      1     1    2      1.0
+2      1     2    3      1.5
+3      1     3    4      2.0
+4      1     4    5      2.5
+5      1     5    6      3.0
+6      1     6    7      3.5
+7      2     1    3      1.5
+8      2     2    4      2.0
+9      2     3    5      2.5
+10     2     4    6      3.0
+11     2     5    7      3.5
+12     2     6    8      4.0
+13     3     1    4      2.0
+14     3     2    5      2.5
+15     3     3    6      3.0
+16     3     4    7      3.5
+17     3     5    8      4.0
+18     3     6    9      4.5
+19     4     1    5      2.5
+20     4     2    6      3.0
+21     4     3    7      3.5
+22     4     4    8      4.0
+23     4     5    9      4.5
+24     4     6   10      5.0
+25     5     1    6      3.0
+26     5     2    7      3.5
+27     5     3    8      4.0
+28     5     4    9      4.5
+29     5     5   10      5.0
+30     5     6   11      5.5
+31     6     1    7      3.5
+32     6     2    8      4.0
+33     6     3    9      4.5
+34     6     4   10      5.0
+35     6     5   11      5.5
+36     6     6   12      6.0
    +
    +
    +

    Esto se puede observar de manera gráfica de la siguiente forma:

    +
    +
    # Gráfico de frecuencias para la suma
+ggplot(resultados, aes(x = suma)) +
+  geom_bar(fill = "cyan4", color = "black") +
+  labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia")
    +
    +
    +
    +

    +
    +
    +
    +
    # Gráfico de frecuencias para los promedios
+ggplot(resultados, aes(x = promedio)) +
+  geom_bar(fill = "cyan3", color = "black") +
+  labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia")
    +
    +
    +
    +

    +
    +
    +
    +
    +

    ¿Y cuál es la probabilidad de ocurrencia de cada resultaado?

    +
    +
    # Calcular las frecuencias de cada promedio
+tabla_frecuencias <- table(resultados$promedio)
+
+# Calcular la probabilidad de ocurrencia de cada promedio
+probabilidades <- tabla_frecuencias / sum(tabla_frecuencias)
+
+# Crear la tabla final con valores de promedios y sus probabilidades
+tabla_final <- data.frame(Promedio = as.numeric(names(probabilidades)), 
+                          Probabilidad = as.numeric(probabilidades))
+
+# Mostrar la tabla final
+print(tabla_final)
    +
    +
       Promedio Probabilidad
+1       1.0   0.02777778
+2       1.5   0.05555556
+3       2.0   0.08333333
+4       2.5   0.11111111
+5       3.0   0.13888889
+6       3.5   0.16666667
+7       4.0   0.13888889
+8       4.5   0.11111111
+9       5.0   0.08333333
+10      5.5   0.05555556
+11      6.0   0.02777778
    +
    +
    +

    La ocurrencia de algunos eventos (como la suma o promedio de dos dados) tienen una probabilidad determinada, lo que genera una distribución teórica de probabilidad.

    +

    Si repito un evento aleatorio (ej: sacar muestras repetidas de dos dados y promediarlos) obtengo la distribución empírica de probabilidad (de frecuencias de los eventos).

    +

    De acuerdo con la ley de los grandes números, el promedio empírico convergerá al teórico a medida que aumenta el número de repeticiones. Eso podemos observarlo:

    +
    +
    +

    3. Distribución Normal

    +
    +

    3.1. Curvas de distribución

    +

    Por distribución nos referimos al conjunto de todos los valores posibles de una variable y las frecuencias (o probabilidades) con las que se producen.

    +

    Existen distribuciones empíricas y distribuciones teóricas, en donde:

    +
      +
    • las primeras reflejan la distribución de los valores que asume la variable en un grupo concreto a partir de una observación.
      • +
    • las segundas son una función matématica que expresan la distribución de un conjunto de números mediante su probabilidad de ocurencia.
      • +
    +

    Estas últimas son también llamadas curvas de distribución.

    +
    +
    +

    3.2. Distribución Normal

    +

    Es una distribución teórica que corresponde a una curva que representa la distribución de los casos de la población en torno al promedio y con una varianza conocida.

    +
      +
    • Simétricas y con un solo punto de elevación
      • +
    • La pendiente es más fuerte cerca del centro, y se suaviza hacia los extremos
      • +
    • Coinciden al centro el promedio, la mediana y la moda
      • +
    • La desviación estandar expresa su dispersión.
      • +
    • Establece áreas o proporciones bajo la curva en base a desviaciones estándar del promedio.
      • +
    +
    +
    +

    3.3. Distribución Normal Estándar

    +

    La distribución normal estándar es una distribución normal con una media de 0 y una desviación estándar de 1.

    +

    +
    +
    +

    3.4. Puntaje Z y estandarización de variables

    +

    Al estandarizar las variables (como en la Curva Normal Estándar) lo que hacemos es expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal. Esto nos permite comparar distribuciones distintas.

    +

    Al valor estandarizado lo llamamos puntaje Z, y corresponde a la cantidad de desviaciones estándar que nos alejamos del promedio (para cada variable con la que trabajemos).

    +
    +
    +

    3.5. Cálculo de probabilidades con puntaje z

    +

    Los valores estandarizados o puntajes Z además nos permiten conocer probabilidades.

    +

    Con R es posible generar un conjunto de datos simulados con una distribución normal.

    +
    +
    x_values <- seq(-4,4,length=1000)
+y_values <- dnorm(x_values)
+plot(x_values,y_values,type="l",xlab="Valor Z",ylab="Probabilidad",main="Distribución Normal")
    +
    +
    +
    +

    +
    +
    +
    +
    +

    Podemos preguntar qué parte de la curva cae por debajo de un valor particular. Por ejemplo, preguntaremos sobre el valor 0 antes de ejecutar el código. Piense ¿cuál debería ser la respuesta?

    +
    +
    pnorm(q = 0)
    +
    +
    [1] 0.5
    +
    +
    +

    Por tanto, la probabilidad (en una curva normal estándar) de obtener un valor igual o menor a 0 es de 0.5, es decir, del 50%, pero ¿por qué?

    +
    +

    Porque como la distribución normal estándar es simétrica al rededor de cero, la probabilidad de que sea menor o igual a cero es 0.5, es decir, el 50% de la distribución está por debajo de cero y el otro 50% está por encima de cero.

    +
    +

    Eso lo podemos ver en el gráfico:

    +
    +
    plot(x_values,y_values,type="l",xlab="Valor Z",ylab="Probabilidad",main="Distribución Normal")
+abline(v=0)
    +
    +
    +
    +

    +
    +
    +
    +
    +

    Ahora probemos los valores Z de +1,96 y -1,96.

    +

    Sabemos que estos valores aproximados marcan el 2,5% superior e inferior de la distribución normal estándar. Esto corresponde a un alfa típico \(\alpha = 0,05\) para una prueba de hipótesis de dos colas.

    +
    +
    pnorm(q = 1.96, lower.tail=TRUE)
    +
    +
    [1] 0.9750021
    +
    +
    +

    La respuesta nos dice lo que ya sabemos: el 97,5% de la distribución normal ocurre por debajo del valor z de 1,96.

    +

    Podemos agregar una línea al gráfico para mostrar dónde se usaría abline.

    +

    El 97,5% de la distribución queda por debajo de esta línea.

    +
    +
    plot(x_values, y_values, type="l", lty=1, xlab="Z value", ylab="Probability", main="Normal Distribution") +
+abline(v = 1.96)
    +
    +
    +
    +

    +
    +
    +
    +
    +
    integer(0)
    +
    +
    +
    +
    +
    +

    4. Intervalos de confianza

    +

    Un intervalo de confianza es un rango dentro del cual es probable que se encuentre un parámetro poblacional con un nivel de confianza específico. Además, proporciona información sobre la precisión de nuestras estimaciones.

    +

    Como vimos en la sesión 4 el promedio de la muestra \(\bar{x}\) se distruye normal, con un error estándar \(SE\), lo que nos permite estimar probabilidades basándonos en la curva normal.

    +

    Por ejemplo, si nos desviamos \(\pm1.96SE\) desde la media abarcaremos aproximadamente el 95% de los valores probables.

    +

    +
    +
    +
    + +
    +
    +Nota +
    +
    +
    +

    Nivel de confianza: Corresponde a la probabilidad de que la muestra elegida produzca un intervalo que incluya el parámetro que se está estimando (\(1-\alpha\)).

    +

    Nivel de significacncia: Corresponde a la probabilidad de que el intervalo calculado a partir de la muestra no comprenda el parámetro de la población (\(\alpha\)).

    +
    +
    +
    +

    4.1. Cálculo de intervalos de confianza

    +

    En el caso de nuestro vector aleatorio, un intervalo de confianza para la media se puede calcular de la siguiente manera:

    +
    +
    # Calcular un intervalo de confianza para la media
+intervalo_confianza <- t.test(vector)$conf.int  # Intervalo de confianza del 95% para la media
+intervalo_confianza
    +
    +
    [1] 4.818567 5.543057
+attr(,"conf.level")
+[1] 0.95
    +
    +
    +

    También podemos calcular intervalos de confianza para casos reales. Carguemos la base de datos que utilizaremos, que corresponde a un subset de la Encuesta Suplementaria de ingresos ESI para ocupados:

    +
    +
    load(url("https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/esi-2021-ocupados.rdata"))
    +
    +
    +
    +
    + +
    +
    +Nota +
    +
    +
    +

    Recordemos que podemos contar con bases de datos que tengan factor de expansión (ponderador) o no. Esta distinción se presenta cuando trabajamos con muestras simples o complejas. Al trabajar con muestras complejas debemos identificar cuál es la variable del ponderador e incorporarla en nuestro cálculo.

    +

    En esta guía practicaa trabajaremos sin factores de expansión o ponderadores.

    +
    +
    +
    +

    IC para Medias

    +

    Calculemos un intervalo de confianza para la media de ingresos de personas ocupadas:

    +
    +
    psych::describe(esi$ing_t_p)
    +
    +
       vars     n     mean       sd   median  trimmed      mad min      max
+X1    1 37124 586360.4 697362.9 405347.7 474473.1 255411.6   0 38206253
+      range skew kurtosis      se
+X1 38206253   12   402.32 3619.36
    +
    +
    +
    +
    Publish::ci.mean(esi$ing_t_p, alpha = 0.05)
    +
    +
     mean      CI-95%               
+ 586360.41 [579266.37;593454.45]
    +
    +
    +

    Contamos con una media de ingresos de $586.360 como estimación puntual. Pero también podemos decir que con un 95% de confianza el parámetro poblacional se encontrará entre $579.266 y $593.454.

    +
    +
    +
    +
    +

    Resumen

    +

    Hoy pudimos aprender y recordar:

    +
      +
    1. Los conceptos de promedio y dispersión
      2. +
    2. Qué es la probabilidad y su aplicación para estadística
      3. +
    3. Qué es la distribución normal
      4. +
    4. Cómo calcular e interpretar intervalos de confianza
      5. +
    + + +
    + +
    + +
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    +
    + + +
    + +
    + + +
    + + + +
    + +
    +

    Práctico 2: Intentando rechazar

    + +
    +

    Sesión del martes, 3 de septiembre de 2024

    +
    +
    + + +
    +

    Objetivo de la práctica

    +

    El objetivo de esta guía práctica es realizar una serie de ejercicios de inferencia estadística, tomando como base todos los contenidos de la Unidad 1.

    +

    En detalle, aprenderemos:

    +
      +
    1. Aplicar pruebas de hipótesis de diferencia de medias.
      2. +
    2. Aplicar pruebas de hipótesis direccionales.
      3. +
    3. Aplicar e interpretar los pasos de inferencia estadística.
      4. +
    +
    +

    Recursos de la práctica

    +

    En esta práctica trabajaremos con un subconjunto de datos previamente procesados de la Encuesta de Caracterización Socioeconómica (CASEN) del año 2022, elaborada por el Ministerio de Desarrollo Social y Familia. Para este ejercicio, obtendremos directamente esta base desde internet. No obstante, también tienes la opción de acceder a la misma información a través del siguiente enlace: CASEN 20222. Desde allí, podrás descargar el archivo que contiene el subconjunto procesado de la base de datos CASEN 2022.

    +
    +
    +

    Cinco pasos para la inferencia estadística

    +

    +

    En inferencia, las pruebas de hipótesis nos ayudan a determinar si el resultado que obtenemos en nuestra muestra es un efecto real/extensible a la población o un error. Aquí recomendamos una lista de cinco pasos lógicos para enfrentarnos a la inferencia estadística:

    + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +Paso + +Detalle +
    +1 + +Formula \(H_0\) y \(H_A\) y estipula la dirección de la prueba +
    +2 + +Calcula el error estándar (SE) y el valor estimado de la prueba (ej: Z o t) +
    +3 + +Especifica la probabilidad de error \(\alpha\) y el valor crítico de la prueba +
    +4 + +Contrasta el valor estimado con el valor crítico +
    +5 + +Intrepreta los resultados +
    +

    Además de estos 5 pasos también existe la posibilidad de calcular un intervalo de confianza, que acompañe la precisión de nuestra estimación.

    +
    +
    +
    +

    Preparación datos

    +

    Comencemos por preparar nuestros datos. Iniciamos cargando las librerías necesarias.

    +
    +
    pacman::p_load(dplyr, # Manipulacion datos
+               gginference, # Visualizacion 
+               rempsyc, # Reporte
+               kableExtra, # Tablas
+               broom) # Varios
+
+options(scipen = 999) # para desactivar notacion cientifica
+rm(list = ls()) # para limpiar el entorno de trabajo
    +
    +
    +
    +
    + +
    +
    +Tip +
    +
    +
    +

    Los # en el código

    +

    En este código y siguientes aparecen varios #, que son una función de comentarios en R. No son necesarios para que el código funcione, pero son útiles en este caso para poder explicar que función cumple cada sección del código. Todo lo que aparece a la derecha de un # no es leído por el programa.

    +
    +
    +

    Cargamos los datos directamente desde internet.

    +
    +
    load(url("https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/proc_casen.RData")) #Cargar base de datos
    +
    +

    A continuación, exploramos la base de datos proc_casen.

    +
    +
    names(proc_casen) # Nombre de columnas
    +
    +
     [1] "id_vivienda"      "folio"            "id_persona"       "hogar"           
+ [5] "nucleo"           "varunit"          "varstrat"         "expr"            
+ [9] "edad"             "sexo"             "educ"             "activ"           
+[13] "y1"               "ytrabajocor"      "pobreza_multi_5d" "o15"             
+[17] "qaut"             "fdt"              "ocupado"          "desocupado"      
+[21] "inact"            "hijo"             "n_educ"           "universitaria"   
+[25] "tipo_ocup"        "ss_salud"         "ayuda_moverse"    "ayuda_thogar"    
+[29] "disc_fisica"
    +
    +
    dim(proc_casen) # Dimensiones
    +
    +
    [1] 202111     29
    +
    +
    +

    Contamos con 24 variables (columnas) y 202.111 observaciones (filas).

    +
    +
    +

    Recordemos…

    +

    En estadística, la formulación de hipótesis que implica dos variables (o la comparación de grupos) busca determinar si existen diferencias en una variable entre grupos y, de ser el caso, evaluar si esta diferencia es estadísticamente significativa.

    +

    Hasta ahora, hemos aprendido a contrastar hipótesis sobre diferencias entre grupos. A esto también se le llama hipótesis de dos colas.

    +
    +
    +
    + +
    +
    +Prueba de dos colas +
    +
    +
    +

    Contrastamos la hipótesis nula (o de trabajo) de no diferencias entre grupos: \[ H_{0}: \mu_{1} - \mu_{2} = 0 \] En relación a una hipótesis alternativa sobre diferencias entre grupos: \[ H_{A}: \mu_{1} - \mu_{2} \neq 0 \]

    +
    +
    +

    Además, podemos plantear hipótesis respecto a que el valor de cierto parámetro para un grupo puede ser mayor o menor al de otro grupo. A esto se le conoce como hipótesis de una cola.

    +
    +
    +
    + +
    +
    +Prueba de una cola +
    +
    +
    +

    \[ H_{0}: \mu_{0} ≥ \mu_{1} ; \mu_{0} ≤ \mu_{1}\]

    +

    \[ H_{A}: \mu_{0} > \mu_{1} \]

    +

    \[ H_{A}: \mu_{0} < \mu_{1} \]

    +
    +
    +

    Veamos ahora cómo aplicar todos estos conocimientos con ejercicios.

    +
    +
    +

    Ejercicio 1

    +

    Este ejercicio está basado en un ejemplo de clases y está desarrollado para que sirva de ejemplo a los siguientes ejercicios que deben ser desarrollados de manera autónoma.

    +

    La pregunta de investigación es: ¿Es el salario de los hombres mayor que el de las mujeres?

    +

    Para contrastar esta hipótesis, vamos utilizar la bbdd proc_casen, seleccionaremos las variables sexo e ytrabajocor y haremos un subset de datos de 1.500 casos.

    +
    +
    casen_subset <- proc_casen %>% 
+  select(sexo, ytrabajocor) %>% # seleccionamos
+  sample_n(1500) # extraemos una muestra de 1500 casos
+
+casen_subset <- na.omit(casen_subset) # eliminamos casos perdidos (listwise)
    +
    +

    Generamos tabla para visualizar la distribución de los datos.

    +
    +
    casen_subset %>% 
+  dplyr::group_by(sexo) %>% # se agrupan por la variable categórica 
+  dplyr::summarise(Obs. = n(),
+                   Promedio = mean(ytrabajocor, na.rm=TRUE),
+                   SD = sd(ytrabajocor, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla
+  kableExtra::kable(format = "markdown") # se genera la tabla
    +
    + + + + + + + + + + + + + + + + + + + + + + + +
    sexoObs.PromedioSD
    1371826909.7982911.9
    2289542721.5415039.6
    +
    +
    +

    Ahora vamos con los 5 pasos de la inferencia

    +

    1. Formulación de hipótesis

    +

    El primer aspecto a establecer es el tipo de hipótesis a formular: ¿Direccional o no direccional? En este caso, la pregunta indica una direccionalidad (“mayor que”), por lo tanto corresponde a una hipótesis direccional. Si hubiera sido una pregunta que hiciera referencia simplemente a diferencias (“¿Es el salario de los hombres distinto al de las mujeres?”) correspondería a una hipótesis no direccional.

    +

    La hipótesis general es que el salario de los hombres es mayor que el de las mujeres. Pasando a lenguaje de hipótesis, esto se plantea como:

    +

    Hipótesis alternativa:

    +
      +
    • \(H_A\): Promedio salarial hombres ( \(\bar{X}_{hombres}\)) - Promedio salarial mujeres ( \(\bar{X}_{mujeres}\)) > 0
      • +
    +

    Hipótesis nula:

    +
      +
    • \(H_0\): \(\bar{X}_{hombres} - \bar{X}_{mujeres} \leq 0\)
      • +
    +

    Pasos 2, 3 y 4 de una vez con R

    +

    En clases vimos que los pasos 2, 3 y 4 corresponden a:

    +
      +

    1. Obtener error estándar y estadístico de prueba empírico correspondiente (ej: Z o t)

      2. +

    2. Establecer la probabilidad de error \(\alpha\) (usualmente 0.05) y obtener valor crítico (teórico) de la prueba correspondiente

      3. +

    3. Cálculo de intervalo de confianza / contraste valores empírico/crítico

      4. +
    +

    Esta secuencia de pasos tiene un sentido pedagógico para poder entender cómo finalmente se llega a interpretar el contraste de hipótesis en el paso 5. Pero en análisis de datos, luego de establecer las hipótesis nos vamos directamente al software que nos permite obtener de una vez toda la información de los pasos 2, 3 y 4.

    +
    +
    test_ej1 <- t.test(casen_subset$ytrabajocor ~ casen_subset$sexo, 
+                   alternative = "greater",
+                   conf.level = 0.95)
+
+test_ej1
    +
    +
    
+    Welch Two Sample t-test
+
+data:  casen_subset$ytrabajocor by casen_subset$sexo
+t = 5.0237, df = 523.53, p-value = 0.0000003483
+alternative hypothesis: true difference in means between group 1 and group 2 is greater than 0
+95 percent confidence interval:
+ 190974.3      Inf
+sample estimates:
+mean in group 1 mean in group 2 
+       826909.7        542721.5
    +
    +
    +

    También podemos visualizarlo en una tabla más amable.

    +
    +
    stats.table <- tidy(test_ej1, conf_int = T)
+rempsyc::nice_table(stats.table, broom = "t.test")
    +
    +

    Method

    Alternative

    Mean 1

    Mean 2

    M1 - M2

    t

    df

    p

    95% CI

    Welch Two Sample t-test

    greater

    826,909.66

    542,721.54

    284,188.12

    5.02

    523.53

    < .001***

    [190974.26, Inf]

    +
    +
    +

    Visualicemos la distribución de esta prueba y su zona de rechazo.

    +
    +
    gginference::ggttest(test_ej1)
    +
    +
    +
    +

    +
    +
    +
    +
    +

    5. Interpretación

    +

    La prueba T que evalúa la diferencia de medias entre el salario y el sexo sugiere que el efecto es positivo y estadísticamente signficativo (diferencia = 32567.11, t(566.69) = 2.05, p < .05). El valor \(p\) indica que la probabilidad de observar una diferencia de esta magnitud, o mayor, bajo la suposición de \(H_{0}\) es menor al 5%. Por tanto, con un 95% de confianza, rechazamos la \(H_{0}\) ya que existe evidencia a favor de nuestra \(H_{A}\) respecto a que el salario de los hombres es mayor al salario de las mujeres.

    +
    +
    +

    Ejercicio 2

    +

    Tomando como ejemplo el trabajo de la ganadora del Premio Nobel de Economía 2023 Claudia Goldin, en este ejercicio evaluaremos la siguiente pregunta: ¿Es el salario de las mujeres sin hijos menor al salario de las mujeres con hijos? Por ende, usaremos prueba \(t\) para diferencia de medias.

    +

    Utilice la bbdd proc_casen y seleccione las variables ocupado, sexo, ytrabajocor e hijo. Luego, filtra por ocupado == 1 y sexo == 2 para quedarse solo con mujeres ocupadas y genera una muestra aleatoria de 1.500 casos con la función sample_n(). Luego, elimina los casos pérdidos con na.omit().

    +

    Genere una tabla de descriptivos de los ingresos (ytrabajocor) según si las observaciones tienen hijos o no (hijo). Presente cantidad de observaciones por categoría, media y desviación estándar.

    +

    Una ayuda con el procesamiento (solo esta vez)…

    +
    +
    goldin_data <- proc_casen %>% 
+  dplyr::select(ocupado, sexo, ytrabajocor, hijo) %>% 
+  dplyr::filter(ocupado == 1 & sexo == 2) %>% 
+  sample_n(1500) %>% 
+  na.omit()# creamos subset con solo mujeres ocupadas
+
+goldin_data %>% 
+  dplyr::group_by(hijo) %>% 
+  dplyr::summarise(Obs. = n(),
+                   Media = mean(ytrabajocor, na.rm = T),
+                   DS = sd(ytrabajocor, na.rm = T)) %>% 
+  kableExtra::kable(format = "markdown") # hacemos la tabla
    +
    + + + + + + + + + + + + + + + + + + + + + + + +
    hijoObs.MediaDS
    0335728826.6807752.4
    11108569856.5561702.5
    +
    +
    +

    Ahora vamos con los 5 pasos de la inferencia

    +

    1. Formulación de hipótesis

    +

    El primer paso es traducir nuestra pregunta a una hipótesis estadística contrastable. Para ello: a) elija el tipo de hipótesis a plantear ¿direccional o no direccional? y b) especifique la hipótesis nula (\(H_0\)) e hipótesis alternativa (\(H_A\)).

    +

    Pasos 2, 3 y 4 de una vez con R

    +

    Siguiendo el ejemplo del Ejercicio 1, utilice el software para generar los estadísticos correspondientes. Contraste sus hipótesis considerando un 95% de confianza.

    +

    5. Interpretación

    +

    Interprete los resultados obtenidos: ¿es posible rechazar la hipótesis planteada?

    +
    +

    La prueba T que evalúa la diferencia de medias…

    +
    +
    +
    +

    Ejercicio 3

    +

    En este ejercicio tomamos de ejemplo una pregunta clásica en ciencias sociales: ¿el ingreso de las personas está relacionado a su nivel educacional?. Para responder esta pregunta vamos a usar una prueba \(t\) de contraste de medias para dos muestras independientes.

    +

    Esta vez les dejaremos el procesamiento a ustedes. Utilice la bbdd proc_casen y seleccione las variables ytrabajocor y universitaria. Luego genere una muestra aleatoria 1500 casos con la función sample_n() y elimine los datos perdidos de la variable ytrabajocor. Luego, genere una tabla de descriptivos de los ingresos (ytrabajocor) según si las personas cuentan con educación universitaria o no (universitaria). Presente cantidad de observaciones por categoría, media y desviación estándar.

    +
    +

    1. Formulación de hipótesis

    +

    El primer paso es traducir nuestra pregunta a una hipótesis estadística contrastable. Para ello: a) elija el tipo de hipótesis a plantear ¿direccional o no direccional? y b) especifique la hipótesis nula (\(H_0\)) e hipótesis alternativa (\(H_A\)).

    +
    +
    +

    Pasos 2, 3 y 4 de una vez con R

    +

    Siguiendo el ejemplo del Ejercicio 1, utilice el software para generar los estadísticos correspondientes. Contraste sus hipótesis considerando un 95% de confianza y un 99% de confianza. Comente las diferencias en el paso 5.

    +
    +
    +
    +

    5. Interpretación

    +

    Interprete los resultados obtenidos: ¿es posible rechazar la hipótesis nula? ¿a raíz de qué información llega a la conclusión? ¿qué diferencia observa al aplicar la prueba con ambos niveles de confianza (95% y 99%)?

    + + +
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    +
    + + +
    + +
    + + +
    + + + +
    + +
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    Consola R Online

    + +
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    +
    + + +
    + +
    + + +
    + + + +
    + +
    +

    Foro prácticos

    + +
    + + +

    Foro para compartir dudas, aclaraciones, sugerencias sobre llas guías prácticas. Para poder participar en el foro hay que abir una cuenta en Github

    +
    +

    ¿Cuándo usar este foro?

    +
    +
    +

    +
    +
    +

    Muchas veces sucede que los códigos de análisis no resultan, lo que puede deberse a errores menores en la escritura de código, otras a versiones de librerías, y la mayoría a que R es algo mañoso.

    +

    Cuando hay un error o el código no corre lo importante es evitar que la frustración lleve a desmotivarse o tirar el computador por la ventana. Por eso se sugiere:

    +
      +

    • intentar resolverlo por no más de 10 minutos: en este tiempo revisar bien el material disponible y lo que hay en la web. Un lugar clásico donde se discuten problemas de código es Stack overflow.

      • +

    • si no se logra solucionar entonces se sugiere encarecidamente usar el foro al final de esta página, ya que nos sirve para dejar la respuesta disponible para otr_s compañer_s que pueden tener la misma duda (generalmente es así)

      • +
    +
    +
    +

    ¿Cómo preguntar?

    +
      +
    • Desripción general del problema, código y error que ocurre
      • +
    • Si con esta información no basta para solucionar el problema, entonces se le podrá solicitar información adicionales, tales como el archivo de código y la información de la versión de las librerías que aparece al ejecutar el comando sessionInfo()
      • +
    +
    +
    +

    Foro prácticos

    + + + +
    + +
    + +
    + + + + + + \ No newline at end of file diff --git a/docs/assignment/index.html b/docs/assignment/index.html new file mode 100644 index 00000000..9ac2ca14 --- /dev/null +++ b/docs/assignment/index.html @@ -0,0 +1,697 @@ + + + + + + + + + + +Prácticos – Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + +
    + +
    + + +
    + + + +
    + +
    +

    Prácticos

    + +
    + + +
    +

    Descripción

    +

    Las clases se acompañan de guías de trabajo con énfasis en la aplicación práctica mediante el uso de software estadístico.

    +

    Las guías se encontrarán disponibles en esta página (link a la izquierda). Habrá dos guías para la Unidad 1 (Inferencia), y 2 para la Unidad 2 (Asociación). La unidad 3 será eminentemente práctica y de aplicación.

    +

    Las guías son desarrolladas de manera autónoma, y cada dos semanas los días martes habrá un espacio práctico de revisión de las guías y de consultas. Para ello se espera que quienes puedan traigan su computador a la sala, y quienes no tienen lo podrán hacer simultáneamente en la sala de computación 345.

    +

    En las prácticas vamos a trabajar con el software R, Versión 4.4.1.

    +
    +
    +

    Trabajo con software R

    +

    Para los análisis estadísticos de este curso usamos el programa R, en parte porque es gratuito, pero la principal razón es que es de código abierto. Esto quiere decir que cualquier persona puede revisar cómo está hecho y aportar con modificaciones y procedimientos nuevos, como son las librerías que realizan funciones específicas.

    +

    El carácter de apertura de R posee muchas ventajas, pero también conlleva complicaciones. Se actualiza permanentemente, así como también las librerías, y esto puede generar problemas de compatibilidad y de fallas en ejecución del código de análisis.

    +

    Para minimizar estos posibles problemas en este curso, vamos a:

    +
      +
    • trabajar con la misma y última versión de R
      • +
    • evitar uso de tilde, ñ, espacios y mayúsculas tanto en carpetas y archivos, así como también en los nombres de las variables
      • +
    +
    +
    +

    Sobre errores y consultas sobre problemas con R y ejecución de código

    +

    En caso de preguntas sobre las clases hacerlas en Foro prácticos

    +
    +

    Instalación de R & RStudio

    +

    Para esta versión del curso vamos a trabajar con el programa R Version 4.4.1 y con RStudio, que ofrece un entorno más amigable para trabajar con R.

    +

    Para instalar R: ir a https://cran.r-project.org/index.html y bajar/instalar la versión correspondiente a la plataforma utilizada (Windows, Mac o Linux)

    +

    Para instalar RStudio: ir a https://rstudio.com/products/rstudio/ y bajar/instalar RStudio desktop, Open Source License (libre).

    +

    En caso de dudas se puede revisar el siguiente video tutorial de instalación de R & RStudio, preparado por Julio Iturra (apoyo docente) del curso Estadística Multivariada 2020:

    +
    + +
    +

    Si por alguna razón se prefiere trabajar sin descargar, también se puede utilizar RCloud, abajo un tutorial preparado por Valentina Andrade para el curso de Estadística Multivariada:

    +
    + +
    +
    +

    Sobre el trabajo en hojas de código en RStudio

    +
      +

    • El trabajo de análisis en RStudio se efectua en una hoja de código (o R script o sintaxis, o para los usuarios de Stata la do-file), que es donde se anotan los comandos y funciones. Para abrir una hoja, en RStudio ir a File > New File > R Script (o ctrl+shift+N),y aparecerá un panel con una pestaña “Untitled” (sin título). Esta es la hoja de código donde se anotan los comandos.

      • +

    • Los contenidos de las hojas de código son básicamente 2:

      +
        +
      • comandos o funciones: se escriben en la hoja, y para ejecutarlos se debe posicionar el cursor en la línea respectiva y ctrl+enter, el resultado aparecerá en el panel de resultados o Consola.
        • +
      • texto: para escribir títulos, comentarios, y todo lo que permita entender qué se está haciendo, al principio de la línea respectiva escribir el signo #
        • +
      • +

    • Para grabar nuestra hoja de código y así respaldar nuestros análisis, File > Save (o ctrl+s), y dar un nombre al archivo. Recordar: breve, sin espacios ni tildes ni eñes. Por defecto, la extensión de estos archivos es .R

      • +
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    Presentación

    + +
    +

    Sesión del lunes, 12 de agosto de 2024

    +
    +
    + + +
    +

    Documento de presentación

    + +
    +
    +

    Foro

    +

    En caso de preguntas sobre las clases hacerlas en Foro Clases

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    +
    + + +
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    + + +
    + + + +
    + +
    +

    Inferencia 1: Datos, probabilidad y distribuciones muestrales

    + +
    +

    Sesión del martes, 13 de agosto de 2024

    +
    +
    + + +
    +

    Documento de presentación

    + +
    + + +
    + +
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    +
    + + +
    + +
    + + +
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    + +
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    Inferencia 2: Curva normal y error estándar

    + +
    +

    Sesión del lunes, 19 de agosto de 2024

    +
    +
    + + +
    +

    Documento de presentación

    + +
    + + +
    + +
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    Inferencia 3 - Intervalos de confianza

    + +
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    Sesión del martes, 20 de agosto de 2024

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    Documento de presentación

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    Inferencia 4 - Test de hipótesis

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    Sesión del lunes, 26 de agosto de 2024

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    Documento de presentación

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    Inferencia 5 - Prueba t + hipótesis direccionales

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    Sesión del lunes, 2 de septiembre de 2024

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    Documento de presentación

    + + + +
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    Inferencia 3 - Hipótesis y prueba t

    + +
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    Sesión del lunes, 16 de octubre de 2023

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    Documento de presentación

    + + + +
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    Inferencia 4 - Hipótesis direccionales y proporciones

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    Sesión del lunes, 23 de octubre de 2023

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    Documento de presentación

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    Asociación con variables categóricas

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    Sesión del lunes, 13 de noviembre de 2023

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    Documento de presentación

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    Cierre

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    Sesión del lunes, 20 de noviembre de 2023

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    Documento de presentación

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    Foro clases

    + +
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    Foro para compartir dudas, aclaraciones, sugerencias sobre los contenidos del curso vistos en clases. Para poder participar en el foro hay que abir una cuenta en Github

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    Clases

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    En esta sección se encuentran disponibles los documentos de presentación que sirven de base a cada clase, en el menú de la izquierda Presentaciones. Los documentos son en formato html (no son ppt), producidos con Xaringan. Para verlos en pantalla completa presionar F sobre el documento, y para una vista general de todas las slides presionar O.

    +

    También a la izquierda hay un link al Foro para hacer preguntas relacionadas con las clases.

    +

    Cada clase tiene como referencia lecturas que deben completarse antes de la sesión correspondiente.

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    Complier average treatment effects

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    Compliance and treatment effects

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    Throughout this course, we’ve talked about the difference between the average treatment effect (ATE), or the average effect of a program for an entire population, and conditional average treatment effect (CATE), or the average effect of a program for some segment of the population. There are all sorts of CATEs: you can find the CATE for men vs. women, for people who are treated with the program (the average treatment on the treated, or ATT or TOT), for people who are not treated with the program (the average treatment on the untreated, or ATU), and so on.

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    One important type of CATE is the effect of a program on just those who comply with the program. We can call this the complier average treatment effect, but the acronym would be the same as conditional average treatment effect, so we’ll call it the complier average causal effect or CACE.

    +

    Thinking about compliance is important. You might randomly assign people to receive treatment or a program, but people might not do what you tell them. Additionally, people might do the program if assigned to do it, but they would have done it anyway. We can split the population into four types of people:

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    • Compliers: People who follow whatever their assignment is (if assigned to treatment, they do the program; if assigned to control, they don’t)
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    • Always takers: People who will receive or seek out the program regardless of assignment (if assigned to treatment, they do the program; if assigned to control, they still do the program)
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    • Never takers: People who will not receive or seek out the program regardless of assignment (if assigned to treatment, they don’t do the program; if assigned to control, they also don’t do it)
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    • Defiers: People who will do the opposite of whatever their assignment is (if assigned to treatment, they don’t do the program; if assigned to control, they do the program)
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    +

    To simplify things, evaluators and econometricians assume that defiers don’t exist based on the idea of monotonicity, which means that we can assume that the effect of being assigned to treatment only increases the likelihood of participating in the program (and doesn’t make it more likely).

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    The tricky part about trying to find who the compliers are in a sample is that we can’t know what people would have done in the absence of treatment. If we see that someone in the experiment was assigned to be in the treatment group and they then participated in the program, they could be a complier (since they did what they were assigned to do), or they could be an always taker (they did what they were assigned to do, but they would have done it anyway). Due to the fundamental problem of causal inference, we cannot know what each person would have done in a parallel world.

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    We can use data from a hypothetical program to see how these three types of compliers distort our outcomes, and more importantly, how we can disentangle compliers from their always- and never-taker counterparts.

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    If you want to follow along with this example, you can download these two datasets:

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    Finding compliers with a mind-reading time machine

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    First let’s load the data and reorder some of the categories:

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    +
    +Code +
    library(tidyverse)  # ggplot(), %>%, mutate(), and friends
+library(broom)  # Convert models to data frames
+library(estimatr)  # Run 2SLS models in one step with iv_robust()
+
+bed_nets <- read_csv("data/bed_nets_observed.csv") %>%
+  # Make "No bed net" (control) come first
+  mutate(bed_net = fct_relevel(bed_net, "No bed net"))
+
+bed_nets_time_machine <- read_csv("data/bed_nets_time_machine.csv") %>%
+  # Make "No bed net" come first and "Complier" come first
+  mutate(bed_net = fct_relevel(bed_net, "No bed net"),
+         status = fct_relevel(status, "Complier"))
    +
    +
    +

    This is what we would be able to see if we could read everyone’s minds. There are always takers who will use a bed net regardless of the program, and they’ll have higher health outcomes. However, those better outcomes are because of something endogenous—there’s something else that makes these people always pursue bed nets, and that’s likely related to health. We probably want to not consider them when looking for the program effect. There are never takers who won’t ever use a bed net, and they have worse health outcomes. Again, there’s endogeneity here—something is causing them to not use the bed nets, and it likely also causes their health level. We don’t want to look at them either.

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    The first group—the compliers—are the people we want to focus on. Here we see that the program had an effect when compared to a control group.

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    +Code +
    set.seed(1234)  # Make the jittering the same every time
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+ggplot(bed_nets_time_machine, aes(y = health, x = treatment)) +
+  geom_point(aes(shape = bed_net, color = status),
+             position = position_jitter(height = NULL, width = 0.25)) +
+  facet_wrap(vars(status)) +
+  labs(color = "Type of person", shape = "Compliance",
+       x = NULL, y = "Health status") +
+  scale_color_viridis_d(option = "plasma", end = 0.85) +
+  theme_bw()
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    Finding compliers in actual data

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    This is what we actually see in the data, though. You can tell who some of the always takers are (those who used bed nets after being assigned to the control group) and who some of the never takers are (those who did not use a bed net after being assigned to the treatment group), but compliers are mixed up with the always and never takers. We have to somehow disentangle them!

    +
    +
    +Code +
    set.seed(1234)
+ggplot(bed_nets_time_machine, aes(y = health, x = bed_net)) +
+  geom_point(aes(shape = bed_net, color = status),
+             position = position_jitter(height = NULL, width = 0.25)) +
+  facet_wrap(vars(treatment)) +
+  labs(color = "Type of person", shape = "Compliance",
+       x = NULL, y = "Health status") +
+  scale_color_viridis_d(option = "plasma", end = 0.85) +
+  theme_bw()
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    +

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    We can do this by assuming the proportion of compliers, never takers, and always takers are equally spread across treatment and control (which we can assume through the magic of randomization). If that’s the case, we can calculate the intent to treat (ITT) effect, which is the CATE of being assigned treatment (or the effect of being assigned treatment on health status, regardless of actual compliance).

    +

    The ITT is actually composed of three different causal effects: the complier average causal effect (CACE), the always taker average causal effect (ATACE), and the never taker average causal effect (NTACE). In the formula below, \(\pi\) stands for the proportion of people in each group. Formally, the ITT can be defined like this:

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    \[ +\begin{aligned} +\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{compliers} \times (\text{T} - \text{C})_\text{compliers}} + \\ +&\color{#B7318A}{\pi_\text{always takers} \times (\text{T} - \text{C})_\text{always takers}} + \\ +&\color{#FEBA2C}{\pi_\text{never takers} \times (\text{T} - \text{C})_\text{never takers}} +\end{aligned} +\]

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    We can simplify this to this acronymized version:

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    \[ +\text{ITT}\ =\ \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \text{ATACE}} + \color{#FEBA2C}{\pi_\text{N} \text{NTACE}} +\]

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    The number we care about the most here is the CACE, which is stuck in the middle of the equation. But we can rescue it with some fun logical and algebraic trickery!

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    If we assume that assignment to treatment doesn’t make someone more likely to be an always taker or a never taker, we can set the ATACE and NTACE to zero, leaving us with just three variables to worry about: ITT, \(\pi_\text{c}\), and CACE:

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    \[ +\begin{aligned} +\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \text{ATACE}} + \color{#FEBA2C}{\pi_\text{N} \text{NTACE}} \\[6pt] +=\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \times 0} + \color{#FEBA2C}{\pi_\text{N} \times 0}\\[6pt] +\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} +\end{aligned} +\]

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    We can use algebra to rearrange this formula so that we’re left with an equation that starts with CACE (since that’s the value we care about):

    +

    \[ +\text{CACE} = \frac{\text{ITT}}{\pi_\text{C}} +\]

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    If we can find the ITT and the proportion of compliers, we can find the complier average causal effect (CACE). Fortunately, both those pieces—ITT and \(\pi_\text{C}\)—are findable in the data we have!

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    +

    Finding the ITT

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    The ITT is easy to find with a simple OLS model:

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    +Code +
    itt_model <- lm(health ~ treatment, data = bed_nets)
+
+tidy(itt_model)
+## # A tibble: 2 × 5
+##   term               estimate std.error statistic  p.value
+##   <chr>                 <dbl>     <dbl>     <dbl>    <dbl>
+## 1 (Intercept)           40.9      0.444     92.1  0       
+## 2 treatmentTreatment     5.99     0.630      9.51 5.20e-21
+
+ITT <- tidy(itt_model) %>%
+  filter(term == "treatmentTreatment") %>%
+  pull(estimate)
    +
    +
    +

    The ITT here is ≈6—being assigned treatment increases average health status by 5.99 health points.

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    Finding the proportion of compliers

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    The proportion of compliers is a little trickier, but doable with some algebraic trickery. Recall from the graph above that the people who were in the treatment group and who complied are a combination of always takers and compliers. This means we can say:

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    \[ +\begin{aligned} +\pi_\text{A} + \pi_\text{C} =& \text{% yes in treatment; or} \\ +\pi_\text{C} =& \text{% yes in treatment} - \pi_\text{A} +\end{aligned} +\]

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    We actually know \(\pi_\text{A}\)—remember in the graph above that the people who were in the control group and who used bed nets are guaranteed to be always takers (none of them are compliers or never takers). If we assume that the proportion of always takers is the same in both treatment and control, we can use that percent here, giving us this final equation for \(\pi_\text{C}\):

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    \[ +\begin{aligned} +\pi_\text{C} =& \text{% yes in treatment} - \pi_\text{A} \\ +=& \text{% yes in treatment} - \text{% yes in control} +\end{aligned} +\]

    +

    So, if we can find the percent of people assigned to treatment who used bed nets, find the percent of people assigned to control and used bed nets, and subtract the two percentages, we’ll have the proportion of compliers, or \(\pi_\text{C}\). We can do that with the data we have (61% - 19.5% = 41.5% compliers):

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    +Code +
    bed_nets %>%
+  group_by(treatment, bed_net) %>%
+  summarize(n = n()) %>%
+  mutate(prop = n / sum(n))
+## # A tibble: 4 × 4
+## # Groups:   treatment [2]
+##   treatment bed_net        n  prop
+##   <chr>     <fct>      <int> <dbl>
+## 1 Control   No bed net   808 0.805
+## 2 Control   Bed net      196 0.195
+## 3 Treatment No bed net   388 0.390
+## 4 Treatment Bed net      608 0.610
+
+# pi_c = prop yes in treatment - prop yes in control
+pi_c <- 0.6104418 - 0.1952191
    +
    +
    +

    Finally, now that we know both the ITT and \(\pi_\text{C}\), we can find the CACE (or the LATE):

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    +Code +
    CACE <- ITT / pi_c
+CACE
+## [1] 14.43
    +
    +
    +

    It’s 14.4, which means that using bed nets increased health by 14 health points for compliers (which is a lot bigger than the 6 that we found before). We successfully filtered out the always takers and the never takers, and we have our complier-specific causal effect.

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    +

    Finding the CACE/LATE with IV/2SLS

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    Doing that is super tedious though! What if there was an easier way to find the effect of the bed net program for just the compliers? We can do this with IV/2SLS regression by using assignment to treatment as an instrument.

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    Assignment to treatment works as an instrument because it’s (1) relevant, since being told to use bed nets is probably highly correlated with using bed nets, (2) exclusive, since the only way that being told to use bed nets can cause changes in health is through the actual use of the bed nets, and (3) exogenous, since being told to use bed nets probably isn’t related to other things that cause health.

    +

    Here’s a 2SLS regression with assignment to treatment as the instrument:

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    +Code +
    model_2sls <- iv_robust(health ~ bed_net | treatment, data = bed_nets)
+tidy(model_2sls)
+##             term estimate std.error statistic   p.value conf.low conf.high   df outcome
+## 1    (Intercept)    38.12    0.5151     74.01 0.000e+00    37.11     39.13 1998  health
+## 2 bed_netBed net    14.43    1.2538     11.51 1.038e-29    11.97     16.89 1998  health
    +
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    The coefficient for bed_net is identical to the CACE that we found manually! Instrumental variables are helpful for isolated program effects to only compliers when you’re dealing with noncompliance.

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    Code examples

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    Visit this section after you have finished the readings and lecture videos. It contains fully annotated R code and other supplementary information and it will be indispensable as you work on your problem sets and project.

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    Many sections also contain videos of me live coding the examples so you can see what it looks like to work with R in real time. You’ll notice me make all sorts of little errors, which is totally normal—everyone does!

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Chang and Sally Grantham-McGregor}, + date = {2014-05-14}, + date-added = {2020-01-28 14:31:11 -0500}, + date-modified = {2020-01-28 14:33:07 -0500}, + doi = {10.1126/science.1251178}, + journal = {Science}, + month = {5}, + number = {6187}, + pages = {998--1001}, + title = {Labor Market Returns to an Early Childhood Stimulation Intervention in {Jamaica}}, + volume = {344}, + year = {2014}, + bdsk-url-1 = {https://doi.org/10.1126/science.1251178}} + +@article{Di-TellaSchargrodsky:2004, + author = {Rafael {Di Tella} and Ernesto Schargrodsky}, + date-added = {2020-01-28 14:27:51 -0500}, + date-modified = {2020-01-28 14:29:30 -0500}, + doi = {10.1257/000282804322970733}, + journal = {American Economic Review}, + month = {3}, + number = {1}, + pages = {115--133}, + title = {Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack}, + volume = {94}, + year = {2004}, + bdsk-url-1 = {https://doi.org/10.1257/000282804322970733}} + +@techreport{KearneyLevine:2015, + author = {Melissa S. Kearney and Phillip B. Levine}, + date-added = {2020-01-28 14:23:41 -0500}, + date-modified = {2020-01-28 14:26:02 -0500}, + doi = {10.3386/w21229}, + institution = {National Bureau of Economic Research}, + month = {6}, + number = {21229}, + series = {Working Paper Series}, + title = {Early Childhood Education by {MOOC}: Lessons from \emph{Sesame Street}}, + url = {https://www.nber.org/papers/w21229.pdf}, + year = {2015}, + bdsk-url-1 = {https://www.nber.org/papers/w21229.pdf}, + bdsk-url-2 = {https://doi.org/10.3386/w21229}} + +@article{Schultz:2004, + author = {T. 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Carson,921.046456958068,-57.25781298592477,0.11137200205055237,211.182525171421,0.025535976441526116,5,0.619425173,8.83333333333333,1.07789302420175,8,0.991080278,218,23596,643.1,789,526,3525,3613,0.22382978723404257,0.1455853861057293,2368,-0.5319148936170213,-0.6554110157763631 +8065,CO,Lake,1455.80636836994,-71.52538685060206,0.19915271797126402,450.640916574485,0.06164718420991587,2,0.271849939,6.25,0.820425308479916,5,0.679624847,127,22150,693.2,1807,1600,2993,3175,0.6037420648179085,0.5039370078740157,336,0.2405613097226863,0.10582677165354332 +8067,CO,La Plata,7347.21871312946,-3.461050859326712,0.14312577849241168,1486.85702980879,0.02896437117327288,11,0.203745207,25.5,0.458443449652122,46,0.852025413,981,161815,582.6,15063,15300,28475,30722,0.5289903424056189,0.4980144521841026,2829,0.08811237928007021,0.09208384870776642 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Grande,1460.30068818733,109.76971292838162,0.12187453581933985,280.402362647086,0.02340196650367936,4,0.344619626,13.1666666666667,1.14702209832448,5,0.430774533,370,34905,770.3,2428,1985,5453,5488,0.44525949018888683,0.36169825072886297,1075,-0.08509077571978735,-0.19588192419825068 +8107,CO,Routt,5254.12612604418,-13.267505439248644,0.2234942416114756,1007.26221849621,0.04284581302889148,9,0.377121307,13,0.527426160337553,25,1.047559187,310,71536,521.9,7389,7487,13038,13772,0.5667280257708237,0.5436392680801626,2338,0.155545329038196,0.16976474005227993 +8109,CO,Saguache,1235.46073133838,-79.28235563245582,0.20226927494079563,240.103130312887,0.039309615309902915,4,0.645577792,6.5,1.01737361089372,1,0.161394448,150,18679,678,1762,1345,2796,2707,0.6301859799713877,0.49685999261174735,236,0.29506437768240346,0.08718138160325084 +8111,CO,San Juan,693.70724348045,0,0.9924281022610156,127.418047013332,0.18228619029088985,1,1.388888889,1,1.44092219020173,4,5.555555556,11,2119,554.5,266,265,506,506,0.525691699604743,0.5237154150197628,50,0.10671936758893275,0.09881422924901184 +8113,CO,San Miguel,718.693398459581,3.656015529575994,0.09766182884353594,133.959529025242,0.01820349626650931,7,0.892857143,5,0.623674691281028,12,1.530612245,77,23315,415.2,2961,2960,4215,4311,0.702491103202847,0.6866156344235677,1930,0.4310794780545671,0.4476919508234749 +8115,CO,Sedgwick,441.699892597613,-1.5494545274626896,0.18566620117596172,76.0026950140506,0.03194732871544792,1,0.425894378,1,0.415454923140839,1,0.425894378,118,7079,901.8,419,267,1337,1364,0.31338818249813016,0.19574780058651026,748,-0.3455497382198953,-0.5483870967741935 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York,2,0,1.2611350341420783e-06,0,0,1342,0.820159045,1325.91666666667,0.806649169918409,2553,1.560257855,30098,4912859,529.6,417861,515481,496293,591368,0.8419643234943874,0.8716755049309398,456546,0.6962842514401775,0.7720167476089339 +36063,NY,Niagara,37906.4053229453,-21.48038984530664,0.17511239633825304,7823.95477418199,0.03614353452079508,32,0.149865355,176.5,0.833498616345073,134,0.627561176,7100,640315,808.9,40862,32888,82720,86e3,0.4939796905222437,0.3824186046511628,16335,0.005621373307543531,-0.18994186046511624 +36065,NY,Oneida,38017.7392512735,-17.471593887045874,0.16186164413556614,7598.37467786852,0.03235030389337665,65,0.279124494,239.583333333333,1.03630491514916,162,0.695664123,7530,699532,758.1,37388,30749,80429,83876,0.46485720324758484,0.36660069626591635,17741,-0.05285407004936027,-0.21151461681529876 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+38069,ND,Pierce,840.863715553434,-0.20832322341941162,0.1929914426333335,222.836110186593,0.051144390678584575,1,0.227066303,3,0.703070072650574,3,0.68119891,194,13138,766,656,431,2162,2020,0.303422756706753,0.21336633663366336,1002,-0.37280296022201664,-0.49603960396039604 +38071,ND,Ramsey,1901.89550088048,-24.58616196535293,0.16608990488869793,403.70226488124,0.03525476070921666,3,0.259425804,10,0.866025807569066,11,0.951227949,411,34764,785.3,2162,1505,4971,5218,0.43492255079460873,0.2884246837868915,1711,-0.09997988332327501,-0.32790341126868533 +38073,ND,Ransom,888.716040522846,-1.2128033525710034,0.1628579880012545,232.042411360485,0.04252197386118472,1,0.183621006,4.91666666666667,0.909819886503824,3,0.550863019,239,16375,791.3,1341,836,2412,2317,0.5559701492537313,0.36081139404402246,373,0.13805970149253732,-0.16098403107466547 +38075,ND,Renville,1456.94041918568,-22.663565202868288,0.5898544207229474,316.591651846585,0.12817475783262552,1,0.386548125,1,0.392156862745098,2,0.77309625,87,7764,762.2,398,200,1272,1255,0.3128930817610063,0.1593625498007968,778,-0.35534591194968557,-0.6199203187250997 +38077,ND,Richland,6564.55920425541,-24.663881763845485,0.40221550176186566,1473.11849266247,0.09025908293992219,4,0.243427459,6.41666666666667,0.392384679671416,11,0.669425511,438,49100,664.9,3190,2064,7549,7460,0.4225725261624056,0.2766756032171582,2695,-0.13551463770035765,-0.36126005361930297 +38079,ND,Rolette,1302.22412828734,31.558843302905395,0.09343647329320083,285.53092251027,0.020487258557097654,5,0.342090859,15.5,1.05737089842418,6,0.410509031,394,43976,1056.6,3351,2097,4528,3662,0.7400618374558304,0.5726379027853632,887,0.49933745583038874,0.2422173675587111 +38081,ND,Sargent,838.758261364933,-12.507497605827703,0.21905412937188118,183.356463054689,0.04788625308296918,4,1.017552786,4,1.02827763496144,0,0,115,11673,667.4,1073,693,1987,1978,0.5400100654252642,0.35035389282103135,395,0.09914443885254148,-0.1996966632962588 +38083,ND,Sheridan,1077.57791675955,-0.7022384719135094,0.8157289301737698,178.195448559998,0.13489435924299623,1,0.754147813,1,0.75642965204236,0,0,31,3950,324.7,161,94,808,774,0.19925742574257427,0.12144702842377261,550,-0.5891089108910892,-0.710594315245478 +38085,ND,Sioux,1701.19911762784,0.32774649527505456,0.4096313791543078,604.532269782554,0.14556519859921838,1,0.226142017,4,0.895054822107854,1,0.226142017,143,13291,1376.8,900,758,1138,1177,0.7908611599297012,0.6440101954120646,502,0.5949033391915641,0.4265080713678845 +38087,ND,Slope,692.378853221123,0,0.9523780649534017,135.711460067277,0.18667326006503024,0,0,NA,NA,0,0,12,2294,363.6,83,42,434,427,0.1912442396313364,0.09836065573770492,319,-0.5944700460829493,-0.747072599531616 +38089,ND,Stark,4111.58680830113,-34.952524475932776,0.1699073022976623,1008.51857153766,0.041676043288468946,3,0.098775188,14,0.44873233116446,21,0.691426314,721,91043,659.4,2805,1745,11539,12115,0.2430886558627264,0.1440363186132893,7973,-0.4943235982320825,-0.6581097812628973 +38091,ND,Steele,1733.18060102447,-8.651800227834459,0.8775597979870734,371.468091510573,0.1880851096256066,3,1.534526854,1,0.509683995922528,0,0,60,5869,582.9,515,361,1028,984,0.5009727626459144,0.366869918699187,176,0.019455252918287924,-0.1788617886178862 +38093,ND,Stutsman,6953.20852921441,-0.013040667951560279,0.3295359492518678,1474.00767345703,0.06985818357616257,3,0.14198495,13.5,0.638962514199167,19,0.899238014,712,63401,762.4,3561,2484,9431,9938,0.37758456155232745,0.24994968806600926,4222,-0.22054925246527413,-0.42483397061783057 +38095,ND,Towner,781.604997319918,-63.763528125981495,0.34799866309880584,140.891620291969,0.0627300179394341,0,0,2,0.883782589482987,1,0.432900433,89,6859,636.7,511,305,1164,1137,0.43900343642611683,0.26824978012313105,428,-0.09278350515463918,-0.376429199648197 +38097,ND,Traill,1475.50212235851,-36.37327270834512,0.18168970845444032,357.598146919135,0.04403375777849219,7,0.866122247,5.66666666666667,0.70568700705687,7,0.866122247,295,24273,737.5,1784,1239,3841,3864,0.4644623795886488,0.32065217391304346,1024,-0.046602447279354364,-0.2650103519668737 +38099,ND,Walsh,2050.03849999438,0,0.18437256048155232,383.886131719846,0.034525238935142186,4,0.364630811,10.1666666666667,0.932379554903399,3,0.273473108,469,32948,824.9,2118,1166,5061,4543,0.4184943687018376,0.2566585956416465,1825,-0.13653428176249754,-0.401716927140656 +38101,ND,Ward,20557.4132129089,-17.024452112824893,0.3333184144776474,5382.88236048444,0.08727818987408903,9,0.129712902,28.1666666666667,0.401177420120591,48,0.691802145,1448,208803,689.3,8412,5792,25231,26861,0.3333993896397289,0.21562860652991325,12809,-0.3077166977131307,-0.4768623655113362 +38103,ND,Wells,1592.62620129381,0.21127655416570412,0.3785657716410292,262.690678464939,0.06244133074992608,6,1.43129771,4,0.976085895558809,3,0.715648855,174,12539,641.8,671,419,2359,2352,0.2844425604069521,0.17814625850340135,1374,-0.4133107248834252,-0.5841836734693877 +38105,ND,Williams,4762.93534945924,-0.4202662521530938,0.212650028996305,1145.8302707789,0.05115770474055273,4,0.124494242,17.9166666666667,0.521788935162264,28,0.871459695,697,96984,813.1,2288,1722,9600,12529,0.23833333333333334,0.13744113656317344,8311,-0.4998958333333334,-0.6633410487668608 +39001,OH,Adams,2025.71553314208,116.39640982565538,0.07095325860392575,499.599684869614,0.01749911330541555,4,0.142201998,31.75,1.13770738524385,15,0.533257492,1000,84280,989.5,3857,2293,10787,11063,0.3575600259571707,0.20726746813703337,6152,-0.26272364883656246,-0.5560878604356866 +39003,OH,Allen,19335.2763357741,-11.991764490870525,0.18184044479760464,4639.55637232608,0.04363314905649416,14,0.133282559,94.6666666666667,0.912520162197246,99,0.942498096,3293,314689,820.3,16869,12815,46458,44636,0.36310215678677515,0.2871000985751411,17043,-0.2568556545697189,-0.38182184783582757 +39005,OH,Ashland,1795.13717656564,-7.878431077514278,0.03378191491307025,353.057109693003,0.0066440299910235975,13,0.245121146,38.4166666666667,0.716034195680807,31,0.584519657,1641,159420,769.5,8083,5659,23826,24074,0.3392512381432049,0.2350668771288527,11510,-0.2997565684546294,-0.47810916341281046 +39007,OH,Ashtabula,20657.0305335266,21.933802765637044,0.2035235576768436,4913.64075887453,0.048411684669246675,15,0.151247794,98.0833333333333,0.99849674067589,86,0.867154021,3565,297520,921,22964,15191,41781,39809,0.5496278212584668,0.3815971262779773,7564,0.12144276106364138,-0.19000728478484769 +39009,OH,Athens,14901.0944427876,-4.857278977633073,0.23010785618215174,2136.33648132537,0.032990047119622126,11,0.169981302,50.25,0.759224005076602,59,0.911717893,1419,195119,834.8,17268,15552,26112,27941,0.6613051470588235,0.5566014101141692,4736,0.3504136029411764,0.16950001789484992 +39011,OH,Auglaize,2299.64571532761,11.35167766651258,0.050047785921948466,550.898334248435,0.011989343277295155,6,0.130887197,30,0.653680219636554,34,0.741694117,1461,137673,754.5,5643,3825,22838,22860,0.24708818635607321,0.1673228346456693,14305,-0.48861546545231627,-0.6257655293088363 +39013,OH,Belmont,10006.2012686262,-4.811430211454406,0.14213354074753126,1445.60067745558,0.02053410053203949,19,0.273534789,58.1666666666667,0.847009256427805,54,0.777414664,2596,208095,849.5,13826,8652,30876,30537,0.44779116465863456,0.28332842125945573,12077,-0.08394869801787797,-0.39548744146445297 +39015,OH,Brown,3237.49882761767,-27.640924671464983,0.07219147365690742,769.778040640245,0.017164920854485236,8,0.181340103,41.5,0.948376334011289,25,0.566687823,1507,132160,948.4,6923,4270,18955,19139,0.36523344763914534,0.22310465541564345,9987,-0.25048799788973886,-0.5218140968702649 +39017,OH,Butler,125412.067800483,11.630468386366069,0.3406733159494825,33912.1797588824,0.09212011995458777,43,0.114924711,260.75,0.690660782916641,272,0.726965613,9642,1121688,833.1,59282,56700,164020,168422,0.36143153273990974,0.33665435631924573,47741,-0.261821729057432,-0.2834605930341642 +39019,OH,Carroll,1704.27967843959,1.6915453953879718,0.059102499599097996,331.882167148881,0.01150929973466781,3,0.106432043,23.5,0.849325960461166,15,0.532160216,964,84327,816.5,5396,3124,12965,12807,0.41619745468569225,0.24392910127274148,5943,-0.13736984188198997,-0.46404310142890604 +39021,OH,Champaign,627.128366559511,53.5372370505427,0.01564028148139539,144.89734244789,0.003613670410451904,10,0.255571458,26,0.671019691847111,19,0.48558577000000003,1165,117516,820.6,7826,4488,20016,17597,0.39098721023181454,0.2550434733193158,7826,-0.2011390887290168,-0.4447348979939762 +39023,OH,Clark,33638.012155897,26.28538805224631,0.2431669388786262,8342.50633462953,0.060307420027249675,19,0.139139095,112.416666666667,0.834038154308806,125,0.915388784,5158,409181,944.9,30022,22666,62136,59620,0.48316595854255184,0.38017443810801743,11645,-0.01760654049182442,-0.1953203622945321 +39025,OH,Clermont,78008.0457785454,-5.179268022679588,0.3952516215225012,21341.0765059403,0.10813109096406266,26,0.128993848,133.833333333333,0.659206063053922,132,0.654891844,5026,603567,783.7,29334,26096,93392,96455,0.3140954257323968,0.27055103416100773,39864,-0.35541588144594827,-0.41329117204914206 +39027,OH,Clinton,7472.72354197123,84.40486475588018,0.17775270080806918,1962.88437652891,0.04669087479849929,8,0.191227441,34.4166666666667,0.821360953335561,31,0.741006334,1300,125699,893.9,5534,3943,17648,18100,0.3135766092475068,0.2178453038674033,9523,-0.3516545784224841,-0.5261325966850828 +39029,OH,Columbiana,21395.0415270525,3.1972127215956747,0.19839431688367598,4199.25415743456,0.03893931025708738,16,0.151391859,90.25,0.870424844480879,76,0.71911133,3883,316230,891.7,19351,12273,45078,45261,0.42927814011269355,0.271160601842646,18813,-0.12039132170903771,-0.41565586266321997 +39031,OH,Coshocton,6861.14462190056,7.297967508495382,0.18593383978484485,1637.03508677489,0.044362892246142115,8,0.219082046,24.5833333333333,0.671639072546127,21,0.575090371,1232,109882,860,6841,3908,15555,14961,0.4397942783670845,0.261212485796404,6473,-0.0945676631308261,-0.4326582447697347 +39033,OH,Crawford,10125.7319365623,306.44398686365577,0.23126557501741052,2413.46884638735,0.05512216440680043,7,0.164783427,36.4166666666667,0.865353388937734,33,0.776836158,1669,127499,897.5,7207,4518,19192,18702,0.37552105043768236,0.24157844080846969,8747,-0.22686536056690287,-0.46770398887819487 +39035,OH,Cuyahoga,250036.420635505,1.5540685551724975,0.19532233696124662,55522.2482268326,0.0433726224741334,294,0.23336519,1159.5,0.928081117251183,1102,0.874722581,40696,3780327,799.4,420953,383974,611512,583230,0.6883806041418647,0.6583577662328756,204080,0.3867103180313714,0.34991341323320135 +39037,OH,Darke,3130.78430107329,46.600403428378584,0.059117134029594405,704.607241115653,0.013304768615639513,11,0.210744118,19.9166666666667,0.38465500148068,29,0.55559813,1809,156613,813.9,6610,4395,24807,25e3,0.26645704841375417,0.1758,15303,-0.4488652396500987,-0.61212 +39039,OH,Defiance,5001.03592042594,-20.108922709898376,0.1281101498687384,1312.38713226828,0.033619057106547126,5,0.129836406,26.6666666666667,0.698848646854308,27,0.701116593,1136,115476,771.4,7438,5282,17744,17795,0.4191839495040577,0.2968249508288845,6196,-0.14072362488728585,-0.3481876931722394 +39041,OH,Delaware,46411.8620546816,0.16098201752611316,0.2664071891735544,14164.7618255116,0.0813066792881835,17,0.089893344,69.5,0.353756178008073,166,0.877782067,3048,567496,615.2,36131,39584,96330,100101,0.3750752621197965,0.39544060498896116,16076,-0.23719505865254858,-0.16059779622581194 +39043,OH,Erie,21523.2982946061,-0.11146739149728452,0.279236864705122,4797.96181259465,0.062247328229409433,11,0.145065147,55.3333333333334,0.736726714331998,78,1.028643773,2824,227558,854,20969,15692,38262,36730,0.5480372170822225,0.42722570106180235,3609,0.11274894150854631,-0.0982575551320446 +39045,OH,Fairfield,30776.2722720533,-14.179639629379468,0.21057139133565028,8253.92402983093,0.056473384806856576,14,0.093096867,73.4166666666667,0.481114744501312,99,0.658327847,3616,450737,731.7,28831,24150,70079,70542,0.4114071262432398,0.3423492387513822,19013,-0.1612894019606444,-0.2695273737631482 +39047,OH,Fayette,896.913255141699,-26.912170870829904,0.030896081816799828,178.453714732736,0.006147217179908232,7,0.243055556,31.4166666666667,1.09557353419817,32,1.111111111,1076,86112,1018.3,4075,2672,10677,10817,0.38166151540694954,0.24701858186188408,5091,-0.22300271611875994,-0.47064805398909126 +39049,OH,Franklin,274663.114038607,-0.35491563704248225,0.23608372775177794,74009.1072706459,0.06361373274745345,265,0.215203432,984.583333333334,0.778623422785072,1107,0.898981885,27670,3701048,826.7,325654,335961,541751,554711,0.6011137958213275,0.6056505099051578,143633,0.21728247848181176,0.2589330299921941 +39051,OH,Fulton,6459.18563773524,11.95647205319405,0.15127607002049837,1673.09129159467,0.03918430117557427,7,0.16439643,30.8333333333333,0.725251289771213,25,0.587130108,1247,127483,763.7,8790,5981,20757,20693,0.4234715999421882,0.2890349393514715,7438,-0.1315700727465433,-0.3594452230222781 +39053,OH,Gallia,3690.43821212106,53.593321558786954,0.11930038831451024,877.500529417395,0.02836686265653957,5,0.164489917,40.0833333333333,1.3354433894164,31,1.019837484,1100,91016,973.1,3418,2564,9534,12588,0.3585063981539752,0.20368605020654593,7003,-0.2615900985945039,-0.5563234826819192 +39055,OH,Geauga,18310.2758896316,6.824383031423184,0.19606458886626477,4573.60366538371,0.0489736871085857,12,0.127260194,48.75,0.518286200297682,58,0.615090938,2399,282136,615.9,19295,17165,50125,48736,0.3849376558603491,0.3522037097833224,12412,-0.21564089775561102,-0.2546782665791202 +39057,OH,Greene,47231.7808722227,-11.955391119730221,0.2923247131155744,11082.1138256558,0.06858889681850186,16,0.097668172,92.75,0.56292295086942,132,0.805762422,4236,492952,723.7,31028,28023,81075,79633,0.3827073697193956,0.35190184973566235,19483,-0.2177613320999075,-0.2446598771865935 +39059,OH,Guernsey,6254.85549601462,7.879187881878144,0.15603201776173373,1492.69057825596,0.03723627555706239,12,0.303106845,45.0833333333333,1.15411856061576,38,0.959838343,1412,118448,944,7226,4286,16403,16156,0.44052917149301957,0.2652884377321119,6878,-0.09662866548802046,-0.42572418915573157 +39061,OH,Hamilton,236682.57274106,8.129983360658942,0.2949778690997714,59024.9993365188,0.07356295111322002,165,0.204554499,689.5,0.852182489411061,681,0.844252205,23747,2418013,844.9,208508,207587,402572,395e3,0.5179396480629552,0.5255367088607595,37615,0.0493203700207665,0.09522784810126589 +39063,OH,Hancock,12032.6738623908,0.42622366847948834,0.16090334388476907,2883.67010916752,0.03856101881692814,11,0.146010592,47.9166666666667,0.6315461127513,62,0.822968794,2147,226489,753.8,12192,9419,34940,35216,0.3489410417859187,0.26746365288505225,14358,-0.2829135661133371,-0.4077124034529759 +39065,OH,Hardin,3035.02565478082,70.70560753618899,0.09467295697737912,834.817396611359,0.02604084461324346,6,0.188702982,25,0.794306411641355,20,0.629009938,938,95223,888.3,4487,2870,12147,12014,0.3693916193298757,0.23888796404195106,5671,-0.2346258335391455,-0.4720326285999667 +39067,OH,Harrison,381.456459222245,0,0.024045414726566124,84.4438713291311,0.005322987350550372,4,0.257350576,17.0833333333333,1.11604712440931,7,0.450363508,614,46651,901.3,2895,1663,6999,6956,0.4136305186455208,0.23907418056354227,3358,-0.1487355336476639,-0.4827487061529615 +39069,OH,Henry,3638.57213560143,-10.88228305846539,0.1289587855963647,826.733247293576,0.02930119607632735,4,0.143179296,16.3333333333333,0.591166286631197,19,0.680101657,845,83781,718.6,5513,3690,13937,13671,0.3955657602066442,0.26991441737985516,5446,-0.18641027480806488,-0.3983614951356887 +39071,OH,Highland,2456.47577881237,30.666552630454973,0.05635540569438093,606.97451721226,0.013924947055731034,8,0.185852015,44.5,1.03418624648493,27,0.627250552,1457,129399,907.1,5772,3436,17161,17048,0.3363440358953441,0.20154856874706711,9569,-0.3065089447001923,-0.5612975129047395 +39073,OH,Hocking,5072.30291778712,-0.6250867037770558,0.1726447555407461,1210.54613434102,0.041203067880906066,4,0.139251523,18.9166666666667,0.667490002352388,19,0.661444735,885,85798,849.5,6010,3713,12442,12513,0.4830413116862241,0.2967313993446815,4569,-0.01125221025558587,-0.36514025413569884 +39075,OH,Holmes,875.830753574264,0,0.020672963073555775,203.65901079427601,0.004807133333198225,12,0.273360973,17.0833333333333,0.388823136683661,14,0.318921135,938,131309,720,2568,1766,11355,10823,0.2261558784676354,0.16317102466968492,6812,-0.5279612505504183,-0.6294003511041301 +39077,OH,Huron,7389.88101039639,-0.7625085481316884,0.12393722554584224,1750.43775707465,0.02935695429971237,10,0.17031713,45,0.770033710364654,48,0.817522226,1780,176014,873.2,10673,7080,24077,24332,0.4432861236865058,0.2909748479368732,8850,-0.0892137724799601,-0.3637185599210916 +39079,OH,Jackson,1427.97091190759,-7.716355161395317,0.042978808484803316,351.635706009765,0.010583467449503838,9,0.274825944,43.3333333333333,1.33312823668154,24,0.732869183,1197,98214,1048.8,4965,3142,12916,13239,0.38440693713223906,0.2373291034066017,6476,-0.20795912047073395,-0.48916081275020773 +39081,OH,Jefferson,15086.3098312204,6.5706132142425835,0.21641839405557964,3156.53611997812,0.04528161528609104,15,0.221585369,62.75,0.940723195010794,47,0.694300824,2849,203043,972.7,14960,9483,32327,31346,0.4627710582485229,0.30252663816754927,11185,-0.05472205896000254,-0.35682383717220695 +39083,OH,Knox,8644.80621597503,-9.919029871607377,0.14190190929195237,2061.50700745947,0.03383902114967696,11,0.179835532,38.8333333333333,0.638559103715153,40,0.65394739,1761,182908,773.4,10154,7959,27618,27768,0.36765877326381347,0.2866248919619706,10604,-0.24328336592077626,-0.38187842120426396 +39085,OH,Lake,78510.8091236878,-12.008558514485559,0.34129050527378946,18356.8896736766,0.07979833887731579,38,0.165772368,167.166666666667,0.731217977318391,180,0.785237534,7202,688070,756.5,55219,45056,114264,112790,0.4832580690331163,0.3994680379466265,17571,-0.01689946089757055,-0.1557850873304371 +39087,OH,Lawrence,9196.4498974999,3.7622779843821665,0.14726100716573098,2246.15088933978,0.035967187979820334,11,0.178504779,52.6666666666667,0.865203487098611,38,0.616652873,2312,184638,1006.9,10454,6849,25252,25949,0.4139870109298273,0.2639408069675132,11391,-0.15511642642166962,-0.438976453813249 +39089,OH,Licking,34313.6544184969,29.110630146538323,0.2060979171281317,8352.91889443824,0.05017009162264998,20,0.118070724,114.25,0.663480412083764,121,0.714327882,4690,508498,819.3,32264,26360,77423,79399,0.41672371259186547,0.3319941057192156,22986,-0.14646810379344644,-0.2894998677565208 +39091,OH,Logan,3675.85483587678,5.546642718870282,0.08015732992884077,735.226811618416,0.01603268375459933,12,0.263695695,37.75,0.835824200154987,36,0.791087086,1500,136357,892.2,6789,4537,20535,21007,0.3306062819576333,0.21597562717189508,11049,-0.31818845872899926,-0.5259675346313133 +39093,OH,Lorain,81349.4002787049,5.179070879735363,0.26994451837263866,20268.4945967616,0.06725764410451958,53,0.174218319,230.75,0.753186558516802,185,0.608120546,8959,912185,780.2,78112,64958,138513,136654,0.563932627262423,0.4753464955288539,388,0.14451351136716406,-0.00283928754372359 +39095,OH,Lucas,72292.056245336,-2.4547015510941295,0.1636251739876102,18579.4754111658,0.04205261344944332,71,0.16311115,427.583333333333,0.988659415598428,373,0.856907872,13244,1304553,867,129229,107363,200850,191684,0.643410505352253,0.5601041297134868,33261,0.30435150609907896,0.1735199599340581 +39097,OH,Madison,12460.4750746298,81.45736738032616,0.2868763687033452,2988.47940704293,0.06880348583038862,5,0.113848536,29.25,0.673668209769916,22,0.500933558,1191,131269,847.7,6700,4662,17240,16754,0.388631090487239,0.27826190760415426,6657,-0.20388631090487241,-0.39733794914647247 +39099,OH,Mahoning,63368.7198877127,-9.215398184825197,0.2653375926427216,14187.3058284619,0.0594051068300034,42,0.180099827,206.083333333333,0.895983328116124,201,0.861906314,9255,699582,861.2,74298,56188,117571,112827,0.6319415502122122,0.49800136492151703,3380,0.27724523904704396,0.029957368360410186 +39101,OH,Marion,22122.5139050891,-3.730498890088528,0.332664379559542,4652.72422657498,0.06996472574209381,12,0.182592818,51.5,0.791139240506329,44,0.669506999,2197,196937,908,11933,7748,26433,25648,0.45144327166799075,0.3020898315658141,8815,-0.07585215450383992,-0.34369151590767316 +39103,OH,Medina,42335.4737522633,-4.849767931145197,0.24566228995348108,11760.8320975946,0.06824520168973029,21,0.119298525,99.5,0.561445878310132,118,0.670344091,4280,527025,698,37841,31582,88849,89360,0.42590237369019346,0.3534243509400179,22229,-0.1308174543326318,-0.24875783348254255 +39105,OH,Meigs,3888.99798410945,-22.072640329623347,0.1636095071144068,893.858511637231,0.037604480927102696,2,0.085722858,26.1666666666667,1.13153153153153,16,0.685782864,837,70058,909,3911,2157,9979,9410,0.3919230383805993,0.2292242295430393,4712,-0.18749373684737947,-0.5007438894792774 +39107,OH,Mercer,1408.26781235503,-56.69066803667526,0.0345045281608034,353.737066975533,0.008667052162873843,7,0.171438368,21,0.513334474076609,26,0.636771081,1242,122666,748.3,4609,3335,21161,21315,0.21780634185529985,0.1564625850340136,13865,-0.5480837389537356,-0.6504808820079755 +39109,OH,Miami,14209.8607399238,-9.120510797561453,0.13862467309156343,3770.2764153775,0.0367810315042778,10,0.096246391,55.75,0.532580555794381,78,0.750721848,3123,311615,785.1,15731,12832,50281,51467,0.31286171714961913,0.24932481007247362,23479,-0.3563771603587837,-0.4561952318961665 +39111,OH,Monroe,837.792184608278,1.2281288376161599,0.05721842539327129,203.482333665329,0.013897167986977804,1,0.069132389,15.1666666666667,1.06732348111658,6,0.414794331,540,43443,816,3007,1647,6743,6686,0.44594394186563846,0.2463356266826204,3134,-0.07904493548865488,-0.46874065210888416 +39113,OH,Montgomery,142425.887582158,-9.96145087533696,0.26614050109437487,34594.9539228404,0.06464497802094056,84,0.157564207,414,0.779310253953494,477,0.894739606,17954,1599109,876.2,128983,117661,254266,249560,0.5072758449812401,0.47147379387722393,3105,0.030656871150684717,-0.012441897740022412 +39115,OH,Morgan,945.824959082027,-0.2867612655155917,0.06282881354337896,255.00806518197,0.016939555279790755,2,0.13474365,10.6666666666667,0.720525983968297,2,0.13474365,494,44516,816.3,2772,1711,6042,6290,0.45878848063555117,0.2720190779014308,2604,-0.06024495200264807,-0.41399046104928455 +39117,OH,Morrow,166.316313211074,0,0.004775499273870101,40.6220128428831,0.0011663942585604015,6,0.170687301,20.9166666666667,0.597004985348403,14,0.398270369,964,105108,785.1,5780,3711,15813,16186,0.36552203882881174,0.2292722105523292,8011,-0.24549421362170365,-0.4949338934881997 +39119,OH,Muskingum,16744.9335222579,10.733062188629411,0.1945411334695483,4316.63722777894,0.05015030355018867,16,0.186441073,87.6666666666667,1.0185744605041,64,0.745764292,2931,257978,888.5,16327,10926,35954,36217,0.4541080269232909,0.3016815307728415,12662,-0.06950547922345218,-0.3496148217687826 +39121,OH,Noble,3788.43845414501,-0.023890301061844775,0.25868476982895255,377.551213289321,0.02578021258377064,4,0.278493351,8.58333333333333,0.600485052003171,8,0.556986702,407,43264,636.7,2082,1201,5755,5875,0.3617723718505647,0.20442553191489363,3240,-0.24604691572545617,-0.5514893617021276 +39123,OH,Ottawa,11156.6439043025,20.8544521846711,0.2693020156488969,2396.83008999563,0.057855317418065794,9,0.218690771,27.25,0.67058765626538,36,0.874763085,1401,123055,729.6,11214,8136,21936,21742,0.5112144420131292,0.3742066047281759,4253,0.0406181619256018,-0.19561217919234664 +39125,OH,Paulding,2557.60411142829,-11.064624525493295,0.13039686506721168,639.377173286096,0.03259800006557031,5,0.263310338,15.9166666666667,0.843714109020231,10,0.526620675,547,57148,762.5,3435,2068,8912,8842,0.385435368043088,0.2338837367111513,4291,-0.20343357271095153,-0.4852974440171907 +39127,OH,Perry,1410.53161663492,-62.01755427260866,0.03911840969091242,420.357840601766,0.011657824632585445,8,0.223388808,32.5833333333333,0.906931648435253,20,0.558472021,1037,107882,874.3,6857,4072,14673,14647,0.46732092959858246,0.278009148631119,5906,-0.04368568118312549,-0.40322250290161815 +39129,OH,Pickaway,7596.61635594995,6.382618072588187,0.13638939200599573,1058.81178106792,0.019009870750617976,8,0.140656868,41.0833333333333,0.713685978169605,36,0.632955904,1557,170215,825.3,9335,6325,23443,23814,0.39819988909269294,0.2656000671873688,10157,-0.18675084246896728,-0.42651381540270433 +39131,OH,Pike,4088.46418982961,-38.42663276679182,0.1424105398944446,1055.91657329915,0.036779984440389775,3,0.10617214,38,1.34943181818182,19,0.672423556,1005,84861,960.9,5490,3443,11233,11513,0.48873853823555596,0.29905324415877704,4226,-0.004006053592094716,-0.3670633197255277 +39133,OH,Portage,42909.8652637024,29.387350178055467,0.2658290861899925,9936.53801587208,0.06155742518459462,17,0.105014764,100.166666666667,0.618614427200096,124,0.765990042,4259,486103,799.3,38082,31463,74029,73968,0.51442002458496,0.42535961496863506,7515,0.04885923084196736,-0.10159798831927325 +39135,OH,Preble,314.004876838997,7.177774967915782,0.007428551616725739,62.2625759507064,0.0014729731712965792,5,0.120232771,28.5,0.690959342497636,22,0.529024191,1379,124547,877.7,6005,4323,19619,20475,0.30608084000203883,0.21113553113553113,11053,-0.3668382690249248,-0.5398290598290598 +39137,OH,Putnam,5727.09859938069,14.013148546052786,0.16600766976957854,1435.39444760099,0.0416068421577724,5,0.146322905,12.75,0.374383368569415,22,0.643820784,885,102338,669.9,4238,2874,18126,18387,0.23380778991503917,0.15630608582150432,11830,-0.5144543749310383,-0.6433893511720238 +39139,OH,Richland,31594.1102907102,18.64296948183541,0.25381892179723,6525.62133347414,0.05242515632435541,22,0.180413639,111.083333333333,0.917232970293487,96,0.787259517,4182,365884,836.5,21785,15629,55954,53739,0.38933767022911675,0.2908316120508383,20176,-0.20145119205061307,-0.37544427696830984 +39141,OH,Ross,10703.8210533486,24.950920917041852,0.13711596963195072,2024.87404203539,0.02593864062865585,13,0.168483262,64.6666666666667,0.83982683982684,53,0.686893298,2448,231610,929,13895,9905,28961,28955,0.47978315665895516,0.3420825418753238,7928,-0.023721556576085046,-0.2738041788982905 +39143,OH,Sandusky,6092.05572779065,-1.0881078742666666,0.09996153399498967,1426.36719860869,0.02340455497848336,12,0.199405108,48.75,0.821675375021069,36,0.598215324,1966,179810,841.1,14035,9733,28192,27491,0.49783626560726446,0.3540431413917282,6312,0.019296254256526646,-0.22960241533592807 +39145,OH,Scioto,14240.6569918688,5.733480505818903,0.17913001411173476,3207.76141557381,0.04034970773939056,12,0.155323721,77.6666666666667,1.02074790593348,58,0.750731316,2941,232245,1001.6,14432,8841,30023,29618,0.48069813143256834,0.29850091160780606,10901,-0.019684908237018295,-0.3680532108852725 +39147,OH,Seneca,7975.8375470328,31.820176484695622,0.14055577666812583,1798.68205385204,0.031697630696132524,11,0.197596508,38.0833333333333,0.688008478914121,28,0.502972929,1711,167175,788.9,10962,7237,24633,23481,0.44501278772378516,0.3082066351518249,7322,-0.08374944180570776,-0.3118265831949235 +39149,OH,Shelby,8219.96478161615,8.598383622661881,0.1663186124196457,2153.4043508468,0.0435708951469316,7,0.143000143,34.1666666666667,0.702685286112882,30,0.612857756,1287,146964,756.6,6065,4143,23129,23110,0.2622249124475766,0.1792730419731718,14005,-0.45981235678152965,-0.6060147122457811 +39151,OH,Stark,108254.356229243,4.515678627788044,0.2882278791787846,25550.2494407573,0.06802769389901993,62,0.165009475,281.166666666667,0.75256326527699,316,0.841016033,12238,1125795,784.1,86314,66581,176620,170868,0.4886989015966482,0.3896633658730716,29764,-0.0036462461782357236,-0.17419294426106702 +39153,OH,Summit,165394.718098392,-12.803077230037847,0.3052796574601029,39083.1451575484,0.07213827202790131,85,0.156843063,418.166666666667,0.773952742303658,444,0.819274352,17202,1626763,817.6,147146,129922,259389,249937,0.5672792601074063,0.5198189943865854,20391,0.14821754199291415,0.08158455930894587 +39155,OH,Trumbull,45541.4575972812,-1.3465150355613027,0.2165423637133459,9739.87468923328,0.04631154993168854,45,0.219324966,190.833333333333,0.945538626698047,141,0.687218228,7622,615514,852.3,59446,42130,98703,94073,0.6022714608471881,0.44784369585322037,6022,0.22188788587986186,-0.06401411669660795 +39157,OH,Tuscarawas,17960.7690232658,2.2870650117173623,0.19399849887954246,4118.85469971702,0.044488720266542305,18,0.193990602,80.3333333333333,0.8692202265022,78,0.840625943,3070,278468,787.2,17516,11895,39855,40088,0.4394931627148413,0.2967222111355019,14210,-0.0979550871910676,-0.35447016563560163 +39159,OH,Union,11122.956139362,51.58599969089877,0.21267602560921609,2699.25907392284,0.05161107215913652,5,0.09297828,22.25,0.401211749643868,27,0.502082713,1101,161400,767.6,8546,7530,24947,26533,0.342566240429711,0.2837975351449139,10071,-0.29666893814887557,-0.3795650699129386 +39161,OH,Van Wert,4648.77005034307,22.55225256490474,0.16173010194625206,1058.08638323191,0.036810686864455544,3,0.105403696,16.0833333333333,0.567073314058717,16,0.562153046,997,85469,808.7,3923,2667,13586,13584,0.2887531282202267,0.1963339222614841,7661,-0.40556455174444284,-0.563972320376914 +39163,OH,Vinton,6470.94777706147,204.52886466734296,0.48164851336520065,1526.73945281047,0.11363896187647712,0,0,10.5,0.812630601346645,7,0.528940608,438,39533,1007.3,2382,1332,5352,5393,0.44506726457399104,0.2469868347858335,2467,-0.07772795216741402,-0.4574448358983868 +39165,OH,Warren,75605.2082272299,8.636168223856021,0.35546636808559706,21670.3380497734,0.10188552538058798,30,0.135343027,103.166666666667,0.454352609921769,130,0.58648645,4747,666028,705,31907,33036,108008,114254,0.29541330271831723,0.2891452378034905,42911,-0.39551699874083396,-0.37557547219353365 +39167,OH,Washington,5778.64024941314,11.407378129237156,0.09353880425739164,1193.89503671359,0.01932556956705607,13,0.212373189,61.75,1.01880877742947,47,0.767810759,2220,183687,848.6,11333,7841,28798,28992,0.3935342732134176,0.2704539183222958,12060,-0.19404125286478224,-0.4159768211920529 +39169,OH,Wayne,18588.2530210001,2.0861226097174703,0.16231446927174378,4175.79015349844,0.036463413844729654,28,0.242346608,68.1666666666667,0.585272316190149,71,0.614521755,3213,347124,742.9,18932,14670,49356,48550,0.3835805170597293,0.30216271884654994,16952,-0.21310478969122293,-0.34916580844490214 +39171,OH,Williams,5340.36729667119,0.13464595569970197,0.14187257044448195,1323.42684869434,0.03515825005829499,6,0.160896731,29.25,0.790177486019937,27,0.72403529,1188,111795,770.8,7045,4287,17286,16938,0.4075552470207104,0.25309953949698905,7419,-0.16302209880828417,-0.43800921006021964 +39173,OH,Wood,41776.0575311933,14.283118440940907,0.3329087843554228,8860.08479092771,0.07060503626583985,17,0.131182962,79.6666666666667,0.611789882172852,117,0.902847442,3273,388502,762.6,31596,26440,61967,62287,0.5098842932528604,0.4244866505049208,5294,0.04194167863540277,-0.08499365838778555 +39175,OH,Wyandot,1018.68396102051,1.2464682306358195,0.045044614681428695,239.861406371445,0.010606296987461641,8,0.357893795,16.1666666666667,0.730928052566537,15,0.671050866,771,67078,806.4,3962,2484,10254,10396,0.38638580066315587,0.23893805309734514,4862,-0.2040179442168909,-0.46767987687572143 +40001,OK,Adair,1651.05631843157,7.476319910914668,0.07278826956009214,482.871223533051,0.021287802474674912,3,0.135220409,22.6666666666667,1.02573385223399,9,0.405661228,724,66395,1046,2110,1374,6472,6468,0.32601977750309025,0.212430426716141,3379,-0.34796044499381956,-0.5224180581323439 +40003,OK,Alfalfa,3316.19527714096,-3.297283503707253,0.5877694571323928,483.979364819341,0.08578152513635963,2,0.345423143,5.33333333333333,0.915279446255935,2,0.345423143,189,17485,776.8,278,216,1817,2256,0.15299944964226747,0.09574468085106383,1715,-0.694001100715465,-0.760195035460993 +40005,OK,Atoka,5732.81939501008,-3.014824375130337,0.4042320825701651,1178.13727233637,0.0830727169888852,3,0.217454335,14.9166666666667,1.08013516775284,7,0.507393447,501,41445,979.3,1241,795,4775,5002,0.2598952879581152,0.15893642542982808,3273,-0.4802094240837696,-0.6543382646941223 +40007,OK,Beaver,2157.19728383167,-2.8392442822075252,0.3827532441149166,505.469190234387,0.08968580380312047,1,0.182282173,3,0.557413600891862,1,0.182282173,143,16438,669.2,243,176,2300,2237,0.10565217391304348,0.07867679928475638,1811,-0.788695652173913,-0.8095663835493966 +40009,OK,Beckham,2642.98126105615,-15.600750453801101,0.11948918400724037,721.606159604652,0.03262381480196447,4,0.168840488,21.25,0.943647586482526,15,0.63315183,725,71046,988,1413,958,6909,7529,0.2045158488927486,0.12724133351042635,5329,-0.5909683022145029,-0.7077965201221942 +40011,OK,Blaine,6728.66848126208,-3.316926581289977,0.5633985163913656,1221.44867003288,0.10227318680673868,5,0.504184733,10.25,1.06294721559681,2,0.201673893,381,29530,958.5,991,711,3815,3793,0.2597640891218873,0.18745056683364092,2173,-0.4804718217562254,-0.5728974426575271 +40013,OK,Bryan,8293.33089867481,0.07945620666266427,0.19552364434823677,2015.45612652255,0.047516411885197805,5,0.112394911,44.8333333333333,0.983769629678391,30,0.674369465,1508,133438,943.8,3533,2793,12721,13775,0.27772973822812674,0.20275862068965517,7656,-0.4445405235437465,-0.5557894736842106 +40015,OK,Caddo,8867.08070555166,-10.10665319866982,0.29956353734971825,2214.7214281397,0.07482166986958447,4,0.136439608,33.8333333333333,1.14468089905381,11,0.375208923,1051,88202,1032.7,3151,2418,8811,9336,0.3576211553739644,0.2589974293059126,4055,-0.2847576892520713,-0.43434018851756645 +40017,OK,Canadian,26958.3946472009,-20.35345084875317,0.23332318957946444,6805.27892485591,0.05889925589060083,11,0.084888333,72.3333333333333,0.529790329983691,80,0.617369696,2781,388942,778.5,10533,11666,46148,55250,0.22824391089538007,0.21114932126696834,28303,-0.5435121782092398,-0.5122714932126697 +40019,OK,Carter,4759.17780255905,4.155114234299733,0.1000731291410108,1191.18651928327,0.025047553867638198,9,0.1843469,57.8333333333333,1.19106461268089,30,0.614489666,1872,146038,1079.9,4907,4002,17120,18533,0.28662383177570094,0.21593913559596395,9749,-0.4267523364485981,-0.5260346409108076 +40021,OK,Cherokee,10474.5807313356,0.4882579181652936,0.2229250799441463,2474.41317803058,0.05266165488391641,6,0.124118243,54.3333333333333,1.11567419575633,26,0.537845721,1450,144677,934.1,6137,5455,14288,16487,0.4295212765957447,0.33086674349487477,4537,-0.14095744680851063,-0.2751865105840965 +40023,OK,Choctaw,7356.59511252383,18.42576507495974,0.48382736682169214,1834.88843944032,0.12067664843408879,1,0.06595871,15.0833333333333,1.01332437576979,6,0.395752259,686,45198,1152.2,1494,1064,5066,5419,0.2949072246348204,0.19634618933382542,3138,-0.4101855507303593,-0.5790736298210002 +40025,OK,Cimarron,998.540116734018,-0.19475734706081432,0.40345055221576487,251.598297538837,0.10165587779346948,1,0.435919791,3,1.38760407030527,3,1.307759372,100,6830,968,115,70,1197,1077,0.0960735171261487,0.06499535747446611,892,-0.8078529657477025,-0.8282265552460539 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Mills,2001.02443678865,0.6253232115378244,0.5486768403588292,469.391995846178,0.12870633283415905,1,0.265886732,2,0.549450549450549,0,0,106,11310,660.4,272,151,1674,1758,0.16248506571087215,0.08589306029579068,1395,-0.6750298685782556,-0.7935153583617747 +40131,OK,Rogers,17566.426554087,-24.278242026282008,0.20213366957122145,4382.23165681146,0.05042554118648478,5,0.05567,54.9166666666667,0.598442415128334,34,0.378555921,2561,269793,858.9,9146,7895,36677,40834,0.24936608773890995,0.19334378214233236,22998,-0.5012678245221802,-0.5632071313121418 +40133,OK,Seminole,1914.04503081855,-12.011483943208571,0.07511361081620556,542.941132241443,0.02130684923638031,5,0.196687778,27.25,1.08104891498393,16,0.629400889,1066,76443,1125.4,2597,2067,7449,8032,0.34863740099342194,0.2573456175298805,3545,-0.30272519801315617,-0.44135956175298807 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Jacinto,2148.83499161658,339.08380383075144,0.08144462521287825,482.710872844717,0.018295590996237,5,0.184508653,20.3333333333333,0.733869900506491,4,0.147606923,885,81295,815.3,2410,2034,9610,10305,0.25078043704474506,0.19737991266375546,6016,-0.48855359001040577,-0.5837942746239689 +48409,TX,San Patricio,13590.5606190166,24.05527536740809,0.20971792819913276,3846.56641746601,0.059356928854175824,8,0.119554659,67.9166666666667,1.00386766191215,55,0.82193828,1890,200531,900.9,7854,7825,20064,21513,0.39144736842105265,0.363733556454237,5179,-0.20633971291866027,-0.24073815832287448 +48411,TX,San Saba,1871.97661117252,0,0.30532973596028706,397.930665482931,0.06490469180931838,3,0.53361793,5,0.841184387617766,4,0.711490573,184,17443,698.1,323,293,2256,2354,0.14317375886524822,0.12446898895497026,1732,-0.7012411347517731,-0.735768903993203 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Zandt,5077.79334969102,100.38808408893125,0.09657455162119896,1034.49875549101,0.019675131811008384,5,0.094500095,34.75,0.639315610339435,27,0.51030051,1875,158784,864,3083,2792,19081,21689,0.16157434096745454,0.12872884872516022,15644,-0.6659504218856453,-0.7212872884872517 +48469,TX,Victoria,24368.6095116949,-30.837584387843975,0.28076699171240654,6526.39682017365,0.07519496756850956,6,0.06587543,78.0833333333333,0.844445405748357,71,0.779525916,2404,273737,796.2,8795,8843,28827,31032,0.3050959170222361,0.284963908223769,12410,-0.3777361501370243,-0.3999097705594225 +48471,TX,Walker,22834.2124816692,13.279773585936377,0.3364850574213348,2781.32706531735,0.04098564809415348,9,0.128960151,42.5833333333333,0.595704400052226,34,0.487182794,1487,209838,777.3,5283,6085,15066,19683,0.35065710872162487,0.30915002794289487,6793,-0.2844816142307181,-0.34512015444800087 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George,11104.2019562397,8.404432642138753,0.31082440745247586,2448.0636304232,0.0685252240846242,3,0.08035786,16.9166666666667,0.446998722860792,17,0.455361209,663,112944,629.4,7671,6419,17180,16140,0.44650756693830035,0.3977075588599752,2738,-0.09772991850989526,-0.1696406443618339 +51153,VA,Prince William,87198.5298483464,5.397401875821811,0.2169106866342615,25881.5026749131,0.06438152714392739,63,0.14122584,187.833333333333,0.412630068173663,283,0.634395441,5217,1335902,604.5,103161,83093,179648,144854,0.574239624153901,0.5736327612630648,29028,0.16025783754898465,0.2003948803622958 +51155,VA,Pulaski,5242.47644697338,0.29902893415070253,0.15033483731857594,1087.23660306369,0.031177925070649516,6,0.174814987,37.8333333333333,1.10614078687055,33,0.961482431,1280,103154,913.4,5287,4170,14657,15112,0.36071501671556255,0.2759396506087877,6144,-0.24766323258511286,-0.4065643197458973 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+1182,88.72,FALSE,90.2 +1183,77.69,TRUE,61.85 +1184,83.2,FALSE,82.38 +1185,81.3,FALSE,70.65 +1186,61.61,TRUE,36.68 +1187,84.92,FALSE,77.17 +1188,46.39,TRUE,13.5 +1189,66.25,TRUE,46.93 +1190,73.46,TRUE,66.32 +1191,94.75,FALSE,95.15 +1192,81.16,FALSE,63.76 +1193,80.19,FALSE,56.93 +1194,60.46,TRUE,37.18 +1195,94.75,FALSE,80.73 +1196,58.99,TRUE,39.46 +1197,35.9,TRUE,10.69 +1198,94.42,FALSE,92.4 +1199,55.17,TRUE,33.74 +1200,68.36,TRUE,54.71 diff --git a/docs/files/data/generated_data/barrel-dag-observational.png b/docs/files/data/generated_data/barrel-dag-observational.png new file mode 100644 index 00000000..2b7066da Binary files /dev/null and b/docs/files/data/generated_data/barrel-dag-observational.png differ diff --git a/docs/files/data/generated_data/barrel-dag-rct.png b/docs/files/data/generated_data/barrel-dag-rct.png new file mode 100644 index 00000000..fb822ac2 Binary files /dev/null and b/docs/files/data/generated_data/barrel-dag-rct.png differ diff --git a/docs/files/data/generated_data/barrels_observational.csv b/docs/files/data/generated_data/barrels_observational.csv new file mode 100644 index 00000000..73cd55a2 --- /dev/null +++ b/docs/files/data/generated_data/barrels_observational.csv @@ -0,0 +1,1242 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,212.73,Barrel,1,25811,No home garden,0,3,81.1 +2,258.76,No barrel,0,39479,Home garden,1,7,65.1 +3,156.49,Barrel,1,13297,No home garden,0,7,75.9 +4,254.84,No barrel,0,28259,No home garden,0,2,70.6 +5,194.78,Barrel,1,21479,No home garden,0,5,66.7 +6,201.81,Barrel,1,28906,Home garden,1,8,75.3 +7,210.42,No barrel,0,7041,No home garden,0,3,66.3 +8,255.56,No barrel,0,29434,No home garden,0,4,71.3 +9,187.88,Barrel,1,24779,Home garden,1,8,70 +10,252.21,No barrel,0,29741,Home garden,1,9,68.4 +11,174.36,Barrel,1,16931,No home garden,0,7,70.5 +12,183.78,Barrel,1,10357,No home garden,0,8,74.4 +13,202.02,Barrel,1,16071,No home garden,0,6,81 +14,185.85,Barrel,1,14977,No home garden,0,6,73 +15,211.61,Barrel,1,13053,No home garden,0,3,81.7 +16,208,Barrel,1,24206,No home garden,0,4,70.3 +17,181.79,No barrel,0,14641,No home garden,0,8,58.7 +18,213.09,Barrel,1,15519,No home garden,0,3,78.6 +19,174.12,No barrel,0,6782,No home garden,0,9,62.6 +20,231.34,No barrel,0,19185,No home garden,0,5,66.1 +21,219.84,No barrel,0,26319,Home garden,1,7,69.9 +22,192.17,Barrel,1,35468,Home garden,1,7,75.2 +23,236.49,Barrel,1,35299,No home garden,0,3,81.2 +24,183.51,No barrel,0,8066,No home garden,0,8,70.9 +25,179.93,No barrel,0,9509,No home garden,0,6,70.3 +26,188.89,Barrel,1,21281,No home garden,0,2,69 +27,265.28,No barrel,0,20160,No home garden,0,2,72.6 +28,266.37,No barrel,0,28510,Home garden,1,7,71.5 +29,142.15,Barrel,1,3815,No home garden,0,6,65 +30,223.17,No barrel,0,11933,No home garden,0,4,71.4 +31,265.78,No barrel,0,36989,Home garden,1,5,63 +32,203.82,No barrel,0,13489,No home garden,0,5,73.2 +33,250.57,No barrel,0,17570,No home garden,0,2,68.6 +34,225.84,No barrel,0,17197,No home garden,0,3,72.7 +35,261.62,No barrel,0,37644,Home garden,1,6,66.4 +36,257.22,No barrel,0,33476,Home garden,1,7,70.9 +37,233.64,No barrel,0,24009,No home garden,0,1,64 +38,204.67,Barrel,1,10880,No home garden,0,4,81.1 +39,271.29,No barrel,0,31316,Home garden,1,6,71.6 +40,260.6,No barrel,0,34542,Home garden,1,5,72.5 +41,233.32,No barrel,0,14983,No home garden,0,4,70.5 +42,192.14,Barrel,1,27877,Home garden,1,9,66.2 +43,233.46,Barrel,1,27994,No home garden,0,5,80.8 +44,189.38,No barrel,0,15527,No home garden,0,2,68.7 +45,171.08,Barrel,1,13715,No home garden,0,8,75 +46,268.69,No barrel,0,28308,No home garden,0,2,72.1 +47,222.04,No barrel,0,26454,No home garden,0,5,64 +48,256.28,No barrel,0,29906,No home garden,0,4,72 +49,213.61,No barrel,0,18501,Home garden,1,9,69.2 +50,248.19,No barrel,0,26720,No home garden,0,5,73.5 +51,270.18,No barrel,0,35343,Home garden,1,6,69.1 +52,216.79,No barrel,0,12211,No home garden,0,6,70.1 +53,235.35,Barrel,1,28904,Home garden,1,7,77.5 +54,175.73,Barrel,1,13592,No home garden,0,6,74.2 +55,210.69,No barrel,0,12990,No home garden,0,4,71.6 +56,184.29,Barrel,1,9363,No home garden,0,7,74.2 +57,239.13,No barrel,0,27521,Home garden,1,7,67.1 +58,224.67,Barrel,1,24539,No home garden,0,3,73.9 +59,250.85,No barrel,0,26410,No home garden,0,4,69.6 +60,166.68,Barrel,1,12062,No home garden,0,6,71.4 +61,235.72,Barrel,1,32672,No home garden,0,4,72.5 +62,207.25,Barrel,1,34827,Home garden,1,6,72.4 +63,205.15,Barrel,1,24811,No home garden,0,3,75.4 +64,186,No barrel,0,13646,No home garden,0,6,66.1 +65,223.82,No barrel,0,20140,No home garden,0,3,62.2 +66,229.3,Barrel,1,24714,No home garden,0,4,69.6 +67,219.04,No barrel,0,11316,No home garden,0,8,71.1 +68,287.82,No barrel,0,23572,No home garden,0,4,73.8 +69,253.42,No barrel,0,29730,No home garden,0,5,69.4 +70,206.44,No barrel,0,12860,No home garden,0,6,67.7 +71,213.55,No barrel,0,13761,No home garden,0,5,63.3 +72,221.17,Barrel,1,25221,No home garden,0,4,68.1 +73,227.28,No barrel,0,31993,Home garden,1,5,68.4 +74,179.57,Barrel,1,31952,No home garden,0,5,60.7 +75,254.44,No barrel,0,36695,Home garden,1,5,65.1 +76,223,No barrel,0,16829,No home garden,0,1,61.9 +77,212.64,No barrel,0,26067,Home garden,1,7,65.7 +78,224.06,No barrel,0,23897,No home garden,0,7,69.2 +79,234.41,No barrel,0,34248,Home garden,1,7,69.2 +80,257.09,No barrel,0,28608,Home garden,1,7,72 +81,126.53,Barrel,1,4832,No home garden,0,7,60.6 +82,244.96,No barrel,0,24637,Home garden,1,6,68.1 +83,252.02,No barrel,0,29531,Home garden,1,6,66.5 +84,214.61,No barrel,0,18565,No home garden,0,5,67.2 +85,219.13,No barrel,0,19108,No home garden,0,1,71.8 +86,245.27,No barrel,0,30574,Home garden,1,6,71.9 +87,229.19,No barrel,0,20286,No home garden,0,4,65.7 +88,263.65,No barrel,0,16218,No home garden,0,4,69.7 +89,182.68,No barrel,0,18107,No home garden,0,7,67.5 +90,218.32,No barrel,0,23129,Home garden,1,8,71.1 +91,189.43,Barrel,1,17230,Home garden,1,9,74.9 +92,187.1,Barrel,1,24724,Home garden,1,7,65.1 +93,247.13,No barrel,0,12219,No home garden,0,2,77 +94,217.41,No barrel,0,27721,Home garden,1,6,60.8 +95,244.46,No barrel,0,18977,No home garden,0,4,74.8 +96,217.75,Barrel,1,25067,Home garden,1,7,74.5 +97,199.82,Barrel,1,27990,Home garden,1,6,73.9 +98,193.69,No barrel,0,16333,No home garden,0,6,66 +99,267.4,No barrel,0,26412,No home garden,0,6,70.3 +100,121.75,Barrel,1,6261,No home garden,0,5,66.9 +101,218.11,No barrel,0,22827,No home garden,0,3,62.8 +102,270.05,No barrel,0,28279,No home garden,0,4,67.8 +103,191.1,Barrel,1,18408,No home garden,0,6,76.8 +104,178.38,No barrel,0,11176,No home garden,0,6,62.2 +105,175.22,No barrel,0,10682,No home garden,0,6,62.5 +106,250.71,No barrel,0,25144,No home garden,0,4,69.3 +107,239.01,No barrel,0,22087,No home garden,0,5,69.3 +108,226.17,Barrel,1,33313,Home garden,1,8,77.9 +109,221.65,No barrel,0,26079,No home garden,0,5,69 +110,212.91,No barrel,0,21691,No home garden,0,5,66.1 +111,182.32,Barrel,1,24941,Home garden,1,9,62.4 +112,218.28,Barrel,1,28018,Home garden,1,8,71.4 +113,230.27,No barrel,0,26331,Home garden,1,8,71.9 +114,257.66,No barrel,0,32150,No home garden,0,4,68.1 +115,210.18,Barrel,1,27143,No home garden,0,5,76 +116,166.36,Barrel,1,15679,Home garden,1,9,69.6 +117,240.31,Barrel,1,34956,No home garden,0,3,66.8 +118,206.07,Barrel,1,23506,No home garden,0,4,78.7 +119,218.62,No barrel,0,21556,No home garden,0,4,70.7 +120,200.36,Barrel,1,11430,No home garden,0,2,75.8 +121,195.36,Barrel,1,19677,No home garden,0,4,66.3 +122,205.18,Barrel,1,28299,No home garden,0,4,65.8 +123,185.46,Barrel,1,14878,No home garden,0,5,71 +124,234.73,No barrel,0,19757,No home garden,0,5,78.1 +125,251.71,No barrel,0,24519,No home garden,0,5,70 +126,194.99,No barrel,0,27526,No home garden,0,6,57.9 +127,225.89,No barrel,0,22271,No home garden,0,6,68.4 +128,235.78,No barrel,0,17550,No home garden,0,3,71.4 +129,216.38,No barrel,0,22228,No home garden,0,3,62 +130,242.48,Barrel,1,18875,No home garden,0,2,82.2 +131,207.6,Barrel,1,28731,No home garden,0,3,64.5 +132,216.38,No barrel,0,19544,No home garden,0,7,62.7 +133,250.36,Barrel,1,28653,No home garden,0,4,80.9 +134,223.57,No barrel,0,14885,No home garden,0,7,69.1 +135,281.43,No barrel,0,27255,No home garden,0,5,82.2 +136,233.91,No barrel,0,22252,No home garden,0,5,67.4 +137,156.53,Barrel,1,16299,No home garden,0,3,54 +138,227,No barrel,0,28339,No home garden,0,4,63.4 +139,214.42,Barrel,1,31862,Home garden,1,6,71.2 +140,189.05,Barrel,1,25688,No home garden,0,5,71.5 +141,178.81,Barrel,1,23795,Home garden,1,9,72.1 +142,243.03,No barrel,0,26763,No home garden,0,5,76.2 +143,241.5,No barrel,0,20645,No home garden,0,6,68.3 +144,212.11,No barrel,0,11961,No home garden,0,4,70.7 +145,187.78,No barrel,0,17118,No home garden,0,7,69.8 +146,228.93,No barrel,0,28364,Home garden,1,6,68.2 +147,153.46,Barrel,1,7939,No home garden,0,7,67.8 +148,227.48,Barrel,1,32363,No home garden,0,2,73.4 +149,183.06,Barrel,1,20559,No home garden,0,3,68.6 +150,213.13,No barrel,0,22450,No home garden,0,7,66.8 +151,213.43,Barrel,1,21992,No home garden,0,4,78.7 +152,264.03,No barrel,0,27979,No home garden,0,2,71.8 +153,170.94,No barrel,0,6885,No home garden,0,7,66.4 +154,171.81,Barrel,1,30342,Home garden,1,6,68 +155,223.55,No barrel,0,18034,No home garden,0,5,71.6 +156,164.64,Barrel,1,3635,No home garden,0,4,71.4 +157,245.53,No barrel,0,13369,No home garden,0,2,74.4 +158,170.86,Barrel,1,20765,No home garden,0,7,64 +159,174.32,Barrel,1,20211,No home garden,0,5,74.9 +160,174.87,No barrel,0,6049,No home garden,0,6,67.2 +161,217.44,No barrel,0,28028,No home garden,0,6,69.5 +162,168.98,No barrel,0,24006,Home garden,1,8,62.1 +163,193.86,No barrel,0,22052,No home garden,0,4,61.7 +164,219.74,No barrel,0,27177,No home garden,0,6,69.6 +165,186,Barrel,1,20355,Home garden,1,8,76.3 +166,145.88,Barrel,1,9577,No home garden,0,9,68.7 +167,242,No barrel,0,34602,No home garden,0,4,69.9 +168,235.19,No barrel,0,24962,No home garden,0,5,68.2 +169,168.35,No barrel,0,7522,No home garden,0,9,72.9 +170,256.56,No barrel,0,30832,No home garden,0,3,67.5 +171,278.48,No barrel,0,33357,Home garden,1,7,73.9 +172,261.39,No barrel,0,28891,No home garden,0,4,70.1 +173,191.91,Barrel,1,7664,No home garden,0,7,79.2 +174,254.93,No barrel,0,22879,No home garden,0,1,71.6 +175,199.93,Barrel,1,32797,Home garden,1,9,70.9 +176,151.87,Barrel,1,6317,No home garden,0,3,69.9 +177,240.35,No barrel,0,38750,No home garden,0,4,63.2 +178,215.35,No barrel,0,10549,No home garden,0,6,70.8 +179,244.16,No barrel,0,16835,No home garden,0,2,71.9 +180,261.26,No barrel,0,29641,No home garden,0,5,64.1 +181,170.42,No barrel,0,1950,No home garden,0,7,68 +182,218.08,Barrel,1,21646,No home garden,0,4,76.4 +183,197.67,Barrel,1,31386,No home garden,0,5,75.5 +184,217.84,No barrel,0,23409,No home garden,0,5,68.3 +185,292.06,No barrel,0,36306,No home garden,0,3,76.1 +186,195.83,No barrel,0,14235,No home garden,0,8,71.7 +187,191.54,Barrel,1,19422,No home garden,0,3,72.3 +188,187.77,No barrel,0,19659,No home garden,0,5,58.6 +189,217.56,Barrel,1,24669,No home garden,0,5,76 +190,175.36,Barrel,1,14662,No home garden,0,4,67.3 +191,220.23,Barrel,1,24369,No home garden,0,4,73.7 +192,287.74,No barrel,0,36826,Home garden,1,7,73.4 +193,211.1,No barrel,0,17097,No home garden,0,5,65.9 +194,219.79,No barrel,0,14804,No home garden,0,5,77.9 +195,184.13,Barrel,1,20895,No home garden,0,7,68.1 +196,195.77,Barrel,1,23453,No home garden,0,3,61.3 +197,170.6,Barrel,1,15292,No home garden,0,3,63.9 +198,190.45,Barrel,1,11943,No home garden,0,4,70.4 +199,287.96,No barrel,0,39000,Home garden,1,4,74.5 +200,222.4,Barrel,1,24622,Home garden,1,7,75.5 +201,190.43,Barrel,1,12524,No home garden,0,4,83 +202,167.46,No barrel,0,7235,No home garden,0,9,68.3 +203,231.78,No barrel,0,19168,No home garden,0,6,67.1 +204,278.05,No barrel,0,28649,Home garden,1,8,76.8 +205,224.18,No barrel,0,17615,No home garden,0,3,73.4 +206,183.79,Barrel,1,24905,Home garden,1,8,64.3 +207,228.78,No barrel,0,29426,Home garden,1,6,65.1 +208,209.46,No barrel,0,22186,No home garden,0,5,60.7 +209,254.34,No barrel,0,24699,Home garden,1,8,70.3 +210,182.66,Barrel,1,16278,No home garden,0,8,66.1 +211,219.11,Barrel,1,30939,Home garden,1,8,80.7 +212,225.08,No barrel,0,28699,No home garden,0,6,62.9 +213,217.1,No barrel,0,22377,No home garden,0,5,63.1 +214,191.22,Barrel,1,25072,No home garden,0,5,72 +215,200.23,No barrel,0,17516,No home garden,0,7,70.3 +216,222.2,No barrel,0,24901,Home garden,1,9,69.9 +217,137.33,Barrel,1,3797,No home garden,0,7,71.2 +218,164.75,Barrel,1,12596,No home garden,0,4,70.2 +219,212.63,Barrel,1,29474,Home garden,1,6,76.2 +220,158.09,Barrel,1,20795,Home garden,1,8,68.1 +221,216.8,Barrel,1,21396,No home garden,0,5,79.9 +222,201.3,Barrel,1,11609,No home garden,0,7,86 +223,250.41,No barrel,0,26493,No home garden,0,4,73.6 +224,179.99,Barrel,1,12809,No home garden,0,7,80.2 +225,185.57,Barrel,1,13605,No home garden,0,7,75.5 +226,217.07,No barrel,0,26145,No home garden,0,5,67.3 +227,137.34,Barrel,1,572,No home garden,0,9,70 +228,268.45,No barrel,0,28862,No home garden,0,4,73.6 +229,246.05,No barrel,0,28305,No home garden,0,4,71.4 +230,202.51,No barrel,0,22778,Home garden,1,7,71.3 +231,210.98,No barrel,0,28042,No home garden,0,6,57.5 +232,219.92,No barrel,0,20065,No home garden,0,3,73.5 +233,190.16,No barrel,0,8463,No home garden,0,6,64.7 +234,210.05,Barrel,1,19207,No home garden,0,3,74.1 +235,182.9,No barrel,0,22067,Home garden,1,8,60.3 +236,232.13,No barrel,0,12730,No home garden,0,3,75.3 +237,244.1,No barrel,0,23102,No home garden,0,5,76.9 +238,236.51,No barrel,0,25148,Home garden,1,6,69.1 +239,233.59,No barrel,0,29420,No home garden,0,5,67.6 +240,167.92,Barrel,1,27732,No home garden,0,5,62.1 +241,237.27,No barrel,0,26237,No home garden,0,4,69.4 +242,240.59,No barrel,0,16245,No home garden,0,2,73.1 +243,228.03,No barrel,0,20156,No home garden,0,4,72.7 +244,245.57,No barrel,0,12116,No home garden,0,3,79.2 +245,274.72,No barrel,0,27499,No home garden,0,4,79.4 +246,236.42,Barrel,1,29061,No home garden,0,3,76.2 +247,172.59,Barrel,1,16866,No home garden,0,8,62.7 +248,200.29,No barrel,0,14483,No home garden,0,7,67.6 +249,186.47,Barrel,1,20120,No home garden,0,7,69.2 +250,200.91,No barrel,0,17426,No home garden,0,7,59.6 +251,179.23,No barrel,0,10322,No home garden,0,6,63.3 +252,198.61,No barrel,0,10334,No home garden,0,6,74.7 +253,270.99,No barrel,0,31526,Home garden,1,5,67.6 +254,220.12,No barrel,0,14850,No home garden,0,5,73.3 +255,225.37,No barrel,0,13115,No home garden,0,3,68.9 +256,233.38,Barrel,1,29775,No home garden,0,5,76.8 +257,252.06,No barrel,0,24220,No home garden,0,5,71.1 +258,210.19,No barrel,0,17341,No home garden,0,4,60.3 +259,206.69,No barrel,0,23242,No home garden,0,6,64.5 +260,285.18,No barrel,0,38900,Home garden,1,7,67.2 +261,224.32,No barrel,0,12636,No home garden,0,5,84.8 +262,210.92,No barrel,0,25900,Home garden,1,7,62.2 +263,258.89,No barrel,0,30876,Home garden,1,6,72.5 +264,274.52,No barrel,0,38559,Home garden,1,6,69.1 +265,192.86,Barrel,1,11182,No home garden,0,6,78.7 +266,241.94,No barrel,0,25847,No home garden,0,4,72.6 +267,220.7,No barrel,0,16846,No home garden,0,2,65.2 +268,230.96,No barrel,0,21089,No home garden,0,5,68.7 +269,205.02,No barrel,0,11424,No home garden,0,4,67.3 +270,250.6,Barrel,1,34542,No home garden,0,3,71.6 +271,241.77,No barrel,0,22464,Home garden,1,7,70.7 +272,232.26,No barrel,0,11423,No home garden,0,3,77 +273,226.66,Barrel,1,26701,No home garden,0,4,77.8 +274,164,Barrel,1,13528,No home garden,0,2,70.5 +275,251.84,No barrel,0,30111,Home garden,1,6,71.2 +276,165.88,No barrel,0,7301,No home garden,0,9,67.4 +277,253.51,No barrel,0,19713,No home garden,0,2,77.4 +278,194.97,Barrel,1,15397,No home garden,0,6,77.3 +279,190.12,Barrel,1,24008,Home garden,1,7,73.6 +280,244.95,No barrel,0,36530,No home garden,0,3,69.6 +281,198.47,Barrel,1,22268,Home garden,1,8,74 +282,212.02,Barrel,1,22842,No home garden,0,7,82 +283,140.09,Barrel,1,5676,No home garden,0,3,67.2 +284,221.59,No barrel,0,19227,No home garden,0,5,75.9 +285,257.11,No barrel,0,12084,No home garden,0,5,79.5 +286,231.05,No barrel,0,20179,No home garden,0,7,71.2 +287,199.72,No barrel,0,13680,No home garden,0,4,62.2 +288,194.51,Barrel,1,29663,Home garden,1,7,73.7 +289,209.04,No barrel,0,9402,No home garden,0,4,64 +290,143.18,Barrel,1,4957,No home garden,0,9,62.4 +291,219.98,No barrel,0,5772,No home garden,0,5,77.6 +292,198.41,No barrel,0,25044,Home garden,1,8,61.4 +293,181.41,Barrel,1,9163,No home garden,0,5,72.2 +294,223.96,No barrel,0,11746,No home garden,0,3,70.3 +295,258.9,No barrel,0,36012,No home garden,0,4,69.5 +296,218.83,No barrel,0,19909,No home garden,0,7,74 +297,263.51,No barrel,0,13791,No home garden,0,3,78.1 +298,212.48,No barrel,0,17166,Home garden,1,8,68.1 +299,243.84,No barrel,0,32059,No home garden,0,3,64.2 +300,172.51,No barrel,0,15538,No home garden,0,8,65.6 +301,220.47,No barrel,0,24576,No home garden,0,6,69.9 +302,263.96,No barrel,0,36060,Home garden,1,8,76.8 +303,197.98,No barrel,0,14428,No home garden,0,4,71.6 +304,197.22,No barrel,0,16403,No home garden,0,6,70.6 +305,174.82,Barrel,1,15809,No home garden,0,7,67 +306,213.17,Barrel,1,16009,No home garden,0,3,80.4 +307,156.97,Barrel,1,22192,Home garden,1,10,69.7 +308,194.3,Barrel,1,32695,Home garden,1,8,62 +309,176.04,No barrel,0,26563,Home garden,1,8,59.8 +310,229.77,Barrel,1,20250,No home garden,0,4,70.8 +311,225.64,Barrel,1,19129,No home garden,0,2,71.9 +312,234.07,Barrel,1,36691,Home garden,1,10,71.7 +313,214.66,No barrel,0,19936,Home garden,1,8,64.2 +314,214.13,No barrel,0,30956,No home garden,0,4,55.2 +315,198.66,No barrel,0,9035,No home garden,0,5,63.8 +316,202.66,Barrel,1,25321,No home garden,0,6,73.5 +317,214.57,No barrel,0,21845,No home garden,0,7,65.4 +318,233.84,No barrel,0,18141,No home garden,0,6,71.6 +319,185.76,Barrel,1,17294,Home garden,1,8,75.3 +320,234.4,No barrel,0,24703,Home garden,1,9,71 +321,234.4,Barrel,1,26873,Home garden,1,6,78.3 +322,209.59,No barrel,0,23680,Home garden,1,9,70.5 +323,238.72,No barrel,0,32314,No home garden,0,4,64 +324,199.38,No barrel,0,26245,No home garden,0,6,57.8 +325,213.76,No barrel,0,21201,No home garden,0,6,70.4 +326,264.43,No barrel,0,31968,No home garden,0,2,73.9 +327,251.96,No barrel,0,21966,No home garden,0,6,72.6 +328,251.54,No barrel,0,21619,No home garden,0,3,71.3 +329,252.2,No barrel,0,29348,No home garden,0,5,67.9 +330,182.34,Barrel,1,17334,No home garden,0,6,65.9 +331,170.29,Barrel,1,22451,Home garden,1,8,64.1 +332,243.47,No barrel,0,23481,Home garden,1,8,72.6 +333,154.37,Barrel,1,11152,No home garden,0,6,66.7 +334,236.34,Barrel,1,13522,No home garden,0,2,84.2 +335,271.13,No barrel,0,18675,No home garden,0,2,76.3 +336,215.62,No barrel,0,29744,Home garden,1,6,64.3 +337,218.31,No barrel,0,29141,Home garden,1,9,63.5 +338,219.9,No barrel,0,18130,No home garden,0,6,67.9 +339,154.86,Barrel,1,9674,No home garden,0,7,73.3 +340,159.77,Barrel,1,2995,No home garden,0,7,75.6 +341,211.59,Barrel,1,17610,No home garden,0,4,70.3 +342,181.2,No barrel,0,5752,No home garden,0,5,68.7 +343,214.11,No barrel,0,18593,No home garden,0,4,71.7 +344,269.58,No barrel,0,31806,No home garden,0,4,81 +345,180.2,Barrel,1,4582,No home garden,0,7,77.5 +346,209.39,No barrel,0,27107,Home garden,1,7,64.4 +347,209.17,Barrel,1,20361,No home garden,0,6,74.6 +348,198.69,No barrel,0,11789,No home garden,0,7,66.5 +349,264.43,No barrel,0,22098,No home garden,0,4,76.7 +350,181.37,No barrel,0,9797,No home garden,0,3,67.5 +351,188.01,Barrel,1,28685,Home garden,1,7,71.2 +352,198.62,Barrel,1,23137,No home garden,0,2,70.3 +353,193.99,Barrel,1,17442,No home garden,0,5,78.1 +354,153,Barrel,1,2082,No home garden,0,5,70.7 +355,139.21,Barrel,1,1886,No home garden,0,6,68.3 +356,200.25,Barrel,1,19408,No home garden,0,3,74 +357,255.57,No barrel,0,15740,No home garden,0,2,73.8 +358,157.93,Barrel,1,10330,No home garden,0,8,66.6 +359,204.35,Barrel,1,23610,Home garden,1,8,75.8 +360,167.95,Barrel,1,10932,No home garden,0,5,69.5 +361,216.61,No barrel,0,11705,No home garden,0,4,68.9 +362,280.74,No barrel,0,36420,Home garden,1,6,71 +363,257.72,No barrel,0,37060,Home garden,1,8,62.8 +364,206.97,No barrel,0,20577,No home garden,0,3,61.1 +365,168.68,Barrel,1,13606,No home garden,0,6,70.6 +366,208.28,Barrel,1,24182,No home garden,0,6,69.8 +367,221.38,No barrel,0,8218,No home garden,0,3,67.2 +368,242.76,Barrel,1,28461,Home garden,1,6,77.9 +369,173.17,Barrel,1,11640,No home garden,0,4,70.2 +370,180.75,Barrel,1,6801,No home garden,0,5,70 +371,182.55,Barrel,1,19448,No home garden,0,5,71.4 +372,203.42,No barrel,0,20970,No home garden,0,6,71.6 +373,207.85,Barrel,1,21163,No home garden,0,1,70 +374,235.58,No barrel,0,17070,No home garden,0,3,70.9 +375,196.96,Barrel,1,30536,Home garden,1,9,77.5 +376,135.61,Barrel,1,982,No home garden,0,7,79.7 +377,186.63,Barrel,1,19660,No home garden,0,3,66.4 +378,228.49,No barrel,0,22161,Home garden,1,8,68.2 +379,246.42,Barrel,1,31622,No home garden,0,4,75.4 +380,160.62,Barrel,1,8157,No home garden,0,7,71 +381,189.67,No barrel,0,13119,No home garden,0,4,64.4 +382,243.47,No barrel,0,24252,No home garden,0,5,70.4 +383,240.82,No barrel,0,17648,No home garden,0,5,73.8 +384,143.57,No barrel,0,3478,No home garden,0,4,61.9 +385,219.99,No barrel,0,27011,No home garden,0,4,60.6 +386,252.85,No barrel,0,16246,No home garden,0,3,71.1 +387,206.95,No barrel,0,13220,No home garden,0,2,68.4 +388,211.46,No barrel,0,29814,Home garden,1,10,63.3 +389,209.92,Barrel,1,32031,Home garden,1,7,66.4 +390,194.39,Barrel,1,19079,No home garden,0,3,73.7 +391,246.26,Barrel,1,31389,No home garden,0,3,73 +392,190.54,No barrel,0,16959,No home garden,0,3,65.7 +393,275.6,No barrel,0,34034,Home garden,1,8,72 +394,206.99,No barrel,0,14242,No home garden,0,7,73 +395,186.95,No barrel,0,7896,No home garden,0,4,69.6 +396,165.7,Barrel,1,15567,No home garden,0,8,68.8 +397,206.61,No barrel,0,11384,No home garden,0,5,69.3 +398,227.45,No barrel,0,12423,No home garden,0,2,73.2 +399,199.99,No barrel,0,11376,No home garden,0,6,70.5 +400,231.19,Barrel,1,27549,No home garden,0,4,76.8 +401,203.92,Barrel,1,22512,No home garden,0,4,70.7 +402,228.38,Barrel,1,21336,Home garden,1,8,76.7 +403,212.06,Barrel,1,12950,No home garden,0,3,70.8 +404,238.12,No barrel,0,26771,Home garden,1,7,72.8 +405,220.85,No barrel,0,12474,No home garden,0,5,73 +406,196.27,No barrel,0,15037,Home garden,1,9,66.1 +407,230.64,No barrel,0,21735,Home garden,1,7,72.7 +408,249.14,Barrel,1,33339,Home garden,1,7,78 +409,217.43,No barrel,0,21485,No home garden,0,6,64.6 +410,216.62,No barrel,0,19231,No home garden,0,6,66 +411,198.28,No barrel,0,11639,No home garden,0,4,63.3 +412,187.09,Barrel,1,23759,No home garden,0,4,68.6 +413,210.38,Barrel,1,19035,No home garden,0,7,71.9 +414,194.44,No barrel,0,12768,No home garden,0,4,63.7 +415,145.61,Barrel,1,14954,No home garden,0,5,67.7 +416,221.22,No barrel,0,23186,No home garden,0,5,71.6 +417,198.47,No barrel,0,18246,No home garden,0,6,66.7 +418,176.72,Barrel,1,12380,No home garden,0,6,68.6 +419,250.82,No barrel,0,30214,No home garden,0,5,67.3 +420,182.2,No barrel,0,9743,No home garden,0,7,67 +421,167.46,No barrel,0,14253,No home garden,0,6,64 +422,197.23,Barrel,1,16838,No home garden,0,4,74.9 +423,207.56,No barrel,0,21306,No home garden,0,5,60.8 +424,170.31,No barrel,0,12565,No home garden,0,6,72 +425,204.37,Barrel,1,29013,No home garden,0,4,69.1 +426,278.27,No barrel,0,28754,No home garden,0,1,73.1 +427,223.22,Barrel,1,33999,No home garden,0,3,74.6 +428,182.31,No barrel,0,4514,No home garden,0,5,71.6 +429,266.63,No barrel,0,28854,No home garden,0,5,70.2 +430,215.78,Barrel,1,32674,Home garden,1,8,74.8 +431,281.45,No barrel,0,25658,No home garden,0,1,70.6 +432,181.85,Barrel,1,9121,No home garden,0,3,69 +433,192.85,Barrel,1,20175,No home garden,0,7,72.7 +434,228.38,Barrel,1,33906,No home garden,0,4,68.4 +435,220.59,No barrel,0,14747,No home garden,0,2,67 +436,198.36,Barrel,1,27357,Home garden,1,7,69.7 +437,199.85,No barrel,0,19782,No home garden,0,3,67.8 +438,211.86,No barrel,0,3006,No home garden,0,8,76.1 +439,189.65,No barrel,0,4741,No home garden,0,5,76.5 +440,152.97,No barrel,0,6697,Home garden,1,10,60.8 +441,175.19,Barrel,1,19251,No home garden,0,6,67.2 +442,242.46,No barrel,0,16104,No home garden,0,7,77.1 +443,158.63,Barrel,1,4106,No home garden,0,6,73.8 +444,218.88,No barrel,0,11793,No home garden,0,2,65.5 +445,193.6,No barrel,0,11378,No home garden,0,9,72.3 +446,196.82,No barrel,0,14103,No home garden,0,2,61.2 +447,204.42,Barrel,1,30836,No home garden,0,5,64.9 +448,240.96,No barrel,0,20782,Home garden,1,7,73 +449,231.59,No barrel,0,31260,Home garden,1,9,65.3 +450,258.44,No barrel,0,20661,No home garden,0,2,76 +451,220.1,No barrel,0,13977,No home garden,0,4,67.1 +452,190.98,Barrel,1,17355,No home garden,0,2,70.3 +453,166.93,Barrel,1,21482,Home garden,1,8,70 +454,217.34,No barrel,0,13677,No home garden,0,8,72 +455,218.35,No barrel,0,26645,No home garden,0,4,62.3 +456,220.42,No barrel,0,11934,No home garden,0,4,67.2 +457,249.08,No barrel,0,21117,No home garden,0,5,69.3 +458,242,No barrel,0,22077,No home garden,0,3,64.4 +459,213.58,No barrel,0,16688,No home garden,0,6,70.5 +460,232.79,Barrel,1,38528,Home garden,1,6,75.4 +461,207.43,No barrel,0,18839,No home garden,0,3,61.8 +462,205.22,Barrel,1,31148,No home garden,0,4,71.2 +463,230.68,No barrel,0,17226,No home garden,0,5,71.9 +464,193.6,No barrel,0,3494,No home garden,0,5,69.5 +465,187.31,Barrel,1,19242,No home garden,0,8,74 +466,228.4,No barrel,0,17631,No home garden,0,4,67.8 +467,172.5,No barrel,0,7341,No home garden,0,6,68.9 +468,230.74,No barrel,0,36758,Home garden,1,6,70 +469,184.29,Barrel,1,16308,No home garden,0,3,73.9 +470,210.65,No barrel,0,12537,No home garden,0,5,69 +471,160.26,Barrel,1,3592,No home garden,0,6,79.9 +472,223.06,No barrel,0,13035,No home garden,0,3,66.8 +473,243.04,Barrel,1,32190,Home garden,1,5,72 +474,146.45,Barrel,1,18444,No home garden,0,4,56.7 +475,265.33,No barrel,0,33438,Home garden,1,5,70.5 +476,235.59,Barrel,1,33103,No home garden,0,2,64.6 +477,245.16,No barrel,0,21262,No home garden,0,2,64.7 +478,185.56,Barrel,1,17543,No home garden,0,6,76.6 +479,177.04,Barrel,1,18878,No home garden,0,4,69 +480,244.52,No barrel,0,20398,No home garden,0,2,75.2 +481,249.22,No barrel,0,33642,Home garden,1,6,67.7 +482,240.67,Barrel,1,37338,Home garden,1,6,76.6 +483,215.18,Barrel,1,27251,No home garden,0,5,69 +484,183.05,Barrel,1,24893,No home garden,0,6,73 +485,250.48,No barrel,0,19375,No home garden,0,2,71.8 +486,230.5,Barrel,1,28103,No home garden,0,4,77.8 +487,130.87,Barrel,1,15588,Home garden,1,8,62.8 +488,197.92,Barrel,1,25928,No home garden,0,5,72.5 +489,192.44,Barrel,1,31002,No home garden,0,4,63.6 +490,222.21,No barrel,0,8360,No home garden,0,4,73.2 +491,242.42,No barrel,0,20315,No home garden,0,7,72.3 +492,165.82,Barrel,1,21202,Home garden,1,9,66.2 +493,162.3,Barrel,1,17548,No home garden,0,6,64.4 +494,281.39,No barrel,0,21082,No home garden,0,2,75.9 +495,222.26,Barrel,1,25648,No home garden,0,5,72.7 +496,260.23,No barrel,0,36297,Home garden,1,5,65.7 +497,225.02,Barrel,1,20363,No home garden,0,7,83.5 +498,255.21,Barrel,1,38665,Home garden,1,9,73.3 +499,252,No barrel,0,29073,No home garden,0,4,68.5 +500,213.46,No barrel,0,16948,No home garden,0,4,64.1 +501,185.78,Barrel,1,11350,No home garden,0,7,71.5 +502,211.48,Barrel,1,21838,No home garden,0,3,71.8 +503,140.64,Barrel,1,14400,No home garden,0,6,71.6 +504,229.04,Barrel,1,22570,No home garden,0,5,76.1 +505,215.64,No barrel,0,14717,No home garden,0,7,72.8 +506,208.27,No barrel,0,12366,No home garden,0,8,73.4 +507,196.47,Barrel,1,31872,Home garden,1,8,67.5 +508,170.93,Barrel,1,13083,No home garden,0,8,69.6 +509,161.97,No barrel,0,10577,No home garden,0,5,57.6 +510,177.71,Barrel,1,27595,Home garden,1,7,65.7 +511,263.34,No barrel,0,25056,No home garden,0,3,71.1 +512,242.93,No barrel,0,19805,No home garden,0,7,73 +513,221.4,No barrel,0,21849,Home garden,1,8,73.5 +514,208.71,No barrel,0,18702,No home garden,0,4,54.5 +515,204.4,Barrel,1,16773,No home garden,0,3,80.1 +516,159.09,Barrel,1,9143,No home garden,0,6,65.8 +517,184.87,No barrel,0,11769,No home garden,0,5,60.8 +518,261.9,No barrel,0,32678,No home garden,0,5,67.3 +519,205.9,No barrel,0,4896,No home garden,0,3,69.8 +520,283.81,No barrel,0,20312,No home garden,0,1,75.3 +521,178.84,Barrel,1,11744,No home garden,0,2,69.1 +522,266.83,No barrel,0,15112,No home garden,0,5,71.9 +523,211.29,Barrel,1,16830,No home garden,0,3,77.3 +524,236.59,No barrel,0,21597,Home garden,1,8,77.8 +525,206.59,No barrel,0,22765,No home garden,0,5,58.2 +526,266.59,Barrel,1,30844,No home garden,0,4,71.6 +527,174.59,Barrel,1,22372,Home garden,1,10,74.3 +528,209.45,No barrel,0,23827,No home garden,0,5,66.3 +529,224.17,No barrel,0,6480,No home garden,0,4,68.8 +530,225.07,No barrel,0,19272,No home garden,0,6,70.8 +531,215.91,Barrel,1,29946,No home garden,0,3,74.4 +532,212.97,Barrel,1,29853,Home garden,1,6,70.5 +533,237.26,No barrel,0,15135,No home garden,0,6,65.4 +534,187.34,Barrel,1,26229,No home garden,0,6,66.9 +535,225.12,No barrel,0,32483,Home garden,1,7,64.6 +536,252.31,No barrel,0,32054,Home garden,1,7,73.9 +537,198.81,No barrel,0,20563,No home garden,0,6,63.4 +538,154.7,Barrel,1,16656,Home garden,1,9,68.2 +539,193.04,No barrel,0,13443,No home garden,0,7,62.9 +540,245.39,Barrel,1,38758,Home garden,1,6,73.5 +541,198.2,No barrel,0,9706,No home garden,0,7,69.9 +542,218.2,Barrel,1,39542,Home garden,1,6,68.8 +543,226.53,Barrel,1,16232,No home garden,0,5,72 +544,183.85,Barrel,1,23404,Home garden,1,9,72.2 +545,190.54,No barrel,0,6954,No home garden,0,3,64.5 +546,253.05,Barrel,1,22107,No home garden,0,6,82 +547,258.08,Barrel,1,34709,No home garden,0,4,72.6 +548,150.32,Barrel,1,8007,No home garden,0,6,74.4 +549,245.59,No barrel,0,14777,No home garden,0,8,75.9 +550,165.61,Barrel,1,8348,No home garden,0,2,70.8 +551,211.37,No barrel,0,21492,No home garden,0,5,69.7 +552,175.35,No barrel,0,12530,No home garden,0,8,64.2 +553,192.34,Barrel,1,23909,Home garden,1,9,63.5 +554,197.32,No barrel,0,7354,No home garden,0,2,66 +555,217,Barrel,1,27392,No home garden,0,3,71.4 +556,140.64,Barrel,1,12815,No home garden,0,7,66.6 +557,174.55,Barrel,1,14647,No home garden,0,7,73.4 +558,222.5,No barrel,0,19455,No home garden,0,3,73.7 +559,180.56,Barrel,1,14579,No home garden,0,5,72.2 +560,222.7,No barrel,0,14416,No home garden,0,8,74 +561,203.54,Barrel,1,10302,No home garden,0,7,76.1 +562,155.47,Barrel,1,18296,No home garden,0,7,68.4 +563,263.2,Barrel,1,33552,No home garden,0,3,70.6 +564,164.08,Barrel,1,21413,No home garden,0,3,64.8 +565,211.36,No barrel,0,30759,Home garden,1,7,63.9 +566,180.59,Barrel,1,34082,Home garden,1,10,65.5 +567,213.05,Barrel,1,27121,No home garden,0,5,70.5 +568,168.35,No barrel,0,15692,No home garden,0,7,64.5 +569,212.53,No barrel,0,19092,No home garden,0,5,68 +570,229.46,Barrel,1,27562,Home garden,1,8,70.7 +571,213.08,Barrel,1,22329,No home garden,0,5,78.3 +572,226,Barrel,1,27472,No home garden,0,3,84.2 +573,236.8,No barrel,0,22427,No home garden,0,4,67.4 +574,195.56,No barrel,0,7057,No home garden,0,6,75.8 +575,197.6,Barrel,1,28142,No home garden,0,5,75.2 +576,224.9,No barrel,0,15252,No home garden,0,7,69 +577,257.73,No barrel,0,23436,No home garden,0,4,72.3 +578,225.46,Barrel,1,16473,No home garden,0,4,79 +579,240.2,No barrel,0,13721,No home garden,0,2,73.6 +580,120.28,Barrel,1,11138,No home garden,0,7,62.3 +581,167.21,Barrel,1,14073,No home garden,0,5,66.1 +582,237.93,No barrel,0,24238,No home garden,0,4,71.6 +583,226.52,No barrel,0,21808,Home garden,1,7,60.2 +584,205.41,No barrel,0,13758,No home garden,0,5,60.8 +585,273.88,No barrel,0,29175,No home garden,0,4,69.7 +586,223.22,No barrel,0,17458,No home garden,0,8,70.4 +587,198.19,Barrel,1,15247,No home garden,0,2,77.9 +588,146.64,Barrel,1,10960,No home garden,0,7,70.2 +589,293.19,No barrel,0,33810,Home garden,1,6,74.2 +590,213.35,Barrel,1,13565,No home garden,0,7,76 +591,280.41,No barrel,0,22785,No home garden,0,1,82.1 +592,195.31,Barrel,1,24474,No home garden,0,6,69.4 +593,227.33,No barrel,0,18669,Home garden,1,9,69.1 +594,196.33,Barrel,1,27232,Home garden,1,8,69.9 +595,189.96,Barrel,1,15372,Home garden,1,9,71.3 +596,224.11,No barrel,0,25845,No home garden,0,4,66.7 +597,222.38,No barrel,0,24886,No home garden,0,1,64.5 +598,228.31,Barrel,1,18693,No home garden,0,3,74.6 +599,197.8,No barrel,0,14287,No home garden,0,5,64 +600,216.34,Barrel,1,36451,Home garden,1,9,74.4 +601,218.23,No barrel,0,15306,No home garden,0,7,72 +602,194.71,Barrel,1,22824,Home garden,1,8,72.1 +603,246.71,No barrel,0,26687,No home garden,0,3,73.9 +604,257.87,No barrel,0,16737,No home garden,0,4,75.4 +605,195.02,No barrel,0,14883,No home garden,0,8,67.5 +606,269.92,No barrel,0,29009,No home garden,0,3,67.8 +607,167.5,Barrel,1,13943,No home garden,0,6,63.5 +608,173.21,No barrel,0,9979,No home garden,0,6,58.6 +609,225.84,No barrel,0,26204,No home garden,0,2,61.8 +610,209.97,Barrel,1,19388,No home garden,0,5,75.4 +611,242.14,No barrel,0,17422,No home garden,0,2,70.2 +612,179.25,Barrel,1,33664,Home garden,1,7,62.4 +613,244.03,No barrel,0,10897,No home garden,0,2,77.2 +614,249.77,No barrel,0,24942,No home garden,0,3,71.7 +615,219.91,Barrel,1,29429,No home garden,0,5,70.9 +616,206.13,No barrel,0,8666,No home garden,0,2,65 +617,216.16,Barrel,1,26188,Home garden,1,8,71.8 +618,223.26,No barrel,0,19414,No home garden,0,6,66.9 +619,274.67,No barrel,0,27133,Home garden,1,8,73.2 +620,232.94,No barrel,0,25427,No home garden,0,3,61.1 +621,247.47,No barrel,0,28180,Home garden,1,7,73.8 +622,205.89,No barrel,0,10410,No home garden,0,2,67.1 +623,211.8,Barrel,1,25308,No home garden,0,5,80.7 +624,230.7,No barrel,0,20076,No home garden,0,6,74 +625,205.17,Barrel,1,20878,No home garden,0,7,72.8 +626,255.14,No barrel,0,32673,Home garden,1,7,73.7 +627,190.12,No barrel,0,8868,No home garden,0,3,71.5 +628,173.93,Barrel,1,11347,No home garden,0,3,66 +629,197.74,Barrel,1,25669,No home garden,0,6,73 +630,216.99,No barrel,0,20334,No home garden,0,7,73.8 +631,194.53,Barrel,1,17573,No home garden,0,4,73.6 +632,163.39,No barrel,0,10404,No home garden,0,4,64.3 +633,234.34,No barrel,0,16954,No home garden,0,2,74.1 +634,234.39,No barrel,0,23877,No home garden,0,2,70.4 +635,289.35,No barrel,0,35562,No home garden,0,4,74.1 +636,105.78,Barrel,1,2927,No home garden,0,5,65.1 +637,177.02,No barrel,0,16845,No home garden,0,6,67.6 +638,213.58,Barrel,1,27645,No home garden,0,4,72.1 +639,271.04,No barrel,0,24383,No home garden,0,1,67.8 +640,220.51,No barrel,0,22018,No home garden,0,7,71.2 +641,223.73,No barrel,0,22657,No home garden,0,5,69.8 +642,204.07,No barrel,0,13490,No home garden,0,4,63.8 +643,233.91,No barrel,0,24820,No home garden,0,3,70.8 +644,191.42,Barrel,1,25013,No home garden,0,5,68.7 +645,222.79,Barrel,1,21438,No home garden,0,6,75.5 +646,207.58,No barrel,0,15381,No home garden,0,3,62.4 +647,218.19,No barrel,0,19733,No home garden,0,8,68.3 +648,150.19,Barrel,1,15734,No home garden,0,6,67.6 +649,217.89,No barrel,0,24623,No home garden,0,6,63.2 +650,184.54,Barrel,1,20802,No home garden,0,5,66.5 +651,248.83,No barrel,0,36081,Home garden,1,5,67.1 +652,210.94,Barrel,1,19994,No home garden,0,1,73.5 +653,154.2,Barrel,1,17522,No home garden,0,7,64.1 +654,178.6,Barrel,1,10455,No home garden,0,4,76.7 +655,205.62,No barrel,0,24607,No home garden,0,4,62.3 +656,231.19,No barrel,0,28485,No home garden,0,4,61.8 +657,280.83,No barrel,0,27098,Home garden,1,6,78.2 +658,227.73,No barrel,0,26220,No home garden,0,3,67.5 +659,186.61,Barrel,1,21691,No home garden,0,7,72.5 +660,182.23,Barrel,1,19442,No home garden,0,6,73.2 +661,261.55,No barrel,0,27580,No home garden,0,4,69.9 +662,182.72,Barrel,1,12406,No home garden,0,6,69.1 +663,245.41,No barrel,0,14855,No home garden,0,6,75.5 +664,242.45,Barrel,1,38738,Home garden,1,7,77.8 +665,179.35,No barrel,0,15415,No home garden,0,7,69.9 +666,219.94,No barrel,0,22499,No home garden,0,4,64.9 +667,135.34,Barrel,1,7488,No home garden,0,8,67.7 +668,189.82,No barrel,0,8185,No home garden,0,4,64.8 +669,244.04,No barrel,0,17869,No home garden,0,4,67.5 +670,196.99,Barrel,1,22447,No home garden,0,5,70.6 +671,233.74,No barrel,0,35925,Home garden,1,7,66 +672,169.4,Barrel,1,21600,Home garden,1,7,61.5 +673,236.23,No barrel,0,27383,No home garden,0,4,68.5 +674,252.12,No barrel,0,31943,No home garden,0,2,63.8 +675,229.5,Barrel,1,29069,No home garden,0,4,72.6 +676,221.6,No barrel,0,25368,No home garden,0,6,75.1 +677,192.15,Barrel,1,7620,No home garden,0,7,76.7 +678,186.31,Barrel,1,11559,No home garden,0,3,65.7 +679,225.33,No barrel,0,20156,No home garden,0,6,71.6 +680,212.5,Barrel,1,26454,No home garden,0,4,67.3 +681,231.95,No barrel,0,18157,No home garden,0,6,68.8 +682,260.52,No barrel,0,21887,No home garden,0,5,70.6 +683,219.13,Barrel,1,21341,No home garden,0,3,72.4 +684,206.43,No barrel,0,15732,Home garden,1,8,67.5 +685,191.73,Barrel,1,21104,No home garden,0,4,70.3 +686,234.46,No barrel,0,18120,No home garden,0,3,68.3 +687,188.34,Barrel,1,34938,Home garden,1,6,66.5 +688,209.42,Barrel,1,25992,No home garden,0,3,75.6 +689,251.91,No barrel,0,27438,No home garden,0,5,70.9 +690,209.7,No barrel,0,22823,No home garden,0,5,60.2 +691,196.87,Barrel,1,26064,No home garden,0,4,61.8 +692,174.26,No barrel,0,549,No home garden,0,8,69.5 +693,190.47,No barrel,0,15361,No home garden,0,5,66.8 +694,224.13,No barrel,0,24124,No home garden,0,4,66.6 +695,236.64,No barrel,0,21801,No home garden,0,3,71.8 +696,227.8,Barrel,1,37408,Home garden,1,6,74.8 +697,225.21,No barrel,0,23658,No home garden,0,6,69.9 +698,165.08,Barrel,1,18233,No home garden,0,7,71.8 +699,225.5,No barrel,0,28641,Home garden,1,7,65.7 +700,187.45,Barrel,1,24152,No home garden,0,2,70.7 +701,261.75,No barrel,0,26698,No home garden,0,5,63.6 +702,191.6,No barrel,0,16131,No home garden,0,5,63.8 +703,242.54,No barrel,0,8616,No home garden,0,4,68.3 +704,198.39,No barrel,0,11635,No home garden,0,8,70.7 +705,215.55,No barrel,0,18597,No home garden,0,6,66.2 +706,133.24,Barrel,1,16236,Home garden,1,8,71.4 +707,198.61,No barrel,0,29860,No home garden,0,5,61.1 +708,210.97,No barrel,0,12764,No home garden,0,2,70.1 +709,218.11,Barrel,1,28313,No home garden,0,5,74.5 +710,184.82,Barrel,1,16386,No home garden,0,4,75.2 +711,210.96,No barrel,0,22392,No home garden,0,6,65.6 +712,146.96,Barrel,1,15721,No home garden,0,5,66.6 +713,186.21,Barrel,1,16324,No home garden,0,4,75 +714,197.4,Barrel,1,24018,No home garden,0,6,77 +715,234.15,No barrel,0,22116,No home garden,0,2,70.9 +716,277.87,No barrel,0,25170,No home garden,0,5,73.1 +717,238.9,No barrel,0,14256,No home garden,0,3,69.1 +718,200.69,No barrel,0,12241,No home garden,0,2,64.7 +719,232.64,Barrel,1,16959,No home garden,0,1,75 +720,172.66,No barrel,0,8628,No home garden,0,8,68.9 +721,215.56,Barrel,1,23062,No home garden,0,4,70.3 +722,223.53,Barrel,1,28742,Home garden,1,9,77.7 +723,221.67,Barrel,1,30654,No home garden,0,4,69.4 +724,221.08,Barrel,1,22132,No home garden,0,7,78.7 +725,189.98,No barrel,0,6524,No home garden,0,7,67.8 +726,170.77,Barrel,1,17930,No home garden,0,6,64 +727,180.23,No barrel,0,10092,No home garden,0,7,71.2 +728,206.15,Barrel,1,21178,Home garden,1,9,72.8 +729,235.27,No barrel,0,20696,Home garden,1,9,69.2 +730,188.48,Barrel,1,22093,No home garden,0,5,71.3 +731,197.21,Barrel,1,13794,No home garden,0,1,74.5 +732,213.48,No barrel,0,23055,No home garden,0,6,70.6 +733,210.07,No barrel,0,15432,No home garden,0,5,68.5 +734,183.96,Barrel,1,18970,Home garden,1,9,75.4 +735,201.61,No barrel,0,11226,No home garden,0,3,72.4 +736,140.2,Barrel,1,2196,No home garden,0,7,73.8 +737,210.8,No barrel,0,25515,No home garden,0,5,68 +738,220,Barrel,1,32849,No home garden,0,2,72.6 +739,219.99,Barrel,1,22298,No home garden,0,5,73.3 +740,169.23,Barrel,1,14141,No home garden,0,5,66.1 +741,166.39,No barrel,0,2268,No home garden,0,8,66.4 +742,220.68,No barrel,0,24530,Home garden,1,9,62.7 +743,263.14,No barrel,0,23996,No home garden,0,5,70.4 +744,181.51,Barrel,1,8212,No home garden,0,6,80.5 +745,189.41,Barrel,1,20135,Home garden,1,8,74.6 +746,218.85,No barrel,0,19855,No home garden,0,5,67.8 +747,202.21,No barrel,0,16480,No home garden,0,8,66.8 +748,216.55,No barrel,0,17797,No home garden,0,6,65 +749,254.94,No barrel,0,16245,No home garden,0,3,70.4 +750,146.36,Barrel,1,3529,No home garden,0,4,73.3 +751,224.02,No barrel,0,15371,No home garden,0,1,70.2 +752,223.21,No barrel,0,19178,Home garden,1,8,76.2 +753,236.81,Barrel,1,27137,No home garden,0,5,77.9 +754,193.61,Barrel,1,26178,No home garden,0,6,63.5 +755,156.52,Barrel,1,3828,No home garden,0,8,75.3 +756,227.36,No barrel,0,19288,Home garden,1,9,73.4 +757,205.44,No barrel,0,13130,No home garden,0,3,69.2 +758,180.15,Barrel,1,16319,No home garden,0,4,68.9 +759,236.68,No barrel,0,15926,No home garden,0,3,73.2 +760,256.78,No barrel,0,12326,No home garden,0,4,73.3 +761,252.18,No barrel,0,29719,No home garden,0,5,63.7 +762,193.8,No barrel,0,11896,No home garden,0,7,63.5 +763,237.37,No barrel,0,26218,No home garden,0,3,67.7 +764,218.11,No barrel,0,10377,No home garden,0,5,72.3 +765,240.98,No barrel,0,25653,No home garden,0,4,70.6 +766,266.25,No barrel,0,35489,Home garden,1,6,67.2 +767,131.04,Barrel,1,14360,No home garden,0,5,57.5 +768,253.91,No barrel,0,24151,No home garden,0,3,63.5 +769,264.42,No barrel,0,14933,No home garden,0,4,80.9 +770,255.59,Barrel,1,33609,Home garden,1,6,81.4 +771,255.52,No barrel,0,14086,No home garden,0,6,76 +772,227.16,No barrel,0,25814,Home garden,1,9,70.6 +773,144.56,Barrel,1,3289,No home garden,0,5,69.4 +774,265.35,No barrel,0,17809,No home garden,0,2,76.5 +775,161.33,Barrel,1,11130,No home garden,0,8,78.1 +776,225.57,No barrel,0,21940,No home garden,0,4,58.7 +777,235.05,No barrel,0,18608,No home garden,0,5,65.9 +778,221.22,Barrel,1,30507,Home garden,1,6,71.6 +779,229.29,No barrel,0,29773,Home garden,1,9,66.5 +780,185.62,No barrel,0,5527,No home garden,0,8,70.6 +781,164.76,Barrel,1,13841,No home garden,0,6,67.1 +782,234.07,No barrel,0,21441,No home garden,0,6,72.1 +783,259.17,Barrel,1,35246,Home garden,1,5,77 +784,249.75,No barrel,0,29818,No home garden,0,5,71.6 +785,189.67,Barrel,1,16193,No home garden,0,8,74.8 +786,219.24,Barrel,1,27051,No home garden,0,4,73.6 +787,239.79,Barrel,1,31655,No home garden,0,4,71.9 +788,227.43,No barrel,0,8374,No home garden,0,3,68.6 +789,259.88,No barrel,0,30400,Home garden,1,8,70.6 +790,265.19,No barrel,0,24938,No home garden,0,3,74 +791,193.24,Barrel,1,10882,No home garden,0,6,68.7 +792,185.77,Barrel,1,24914,No home garden,0,5,77.2 +793,203.59,No barrel,0,8918,No home garden,0,3,70 +794,262.42,No barrel,0,35741,Home garden,1,7,66.6 +795,191.32,Barrel,1,20410,No home garden,0,3,71.7 +796,250.46,No barrel,0,32639,No home garden,0,3,62.2 +797,234.39,Barrel,1,21733,No home garden,0,3,78.6 +798,170.64,Barrel,1,24565,Home garden,1,9,65.2 +799,191.93,No barrel,0,7661,No home garden,0,9,67.1 +800,156.85,Barrel,1,3633,No home garden,0,4,75.1 +801,196.3,Barrel,1,22057,Home garden,1,7,73.2 +802,191.89,Barrel,1,26372,No home garden,0,6,66.3 +803,234.87,No barrel,0,32699,Home garden,1,5,61 +804,235.05,No barrel,0,27322,No home garden,0,5,68.7 +805,175.14,Barrel,1,25433,No home garden,0,5,74.5 +806,226.19,Barrel,1,23745,Home garden,1,7,75.4 +807,197.31,No barrel,0,15209,No home garden,0,5,65.7 +808,235.31,No barrel,0,20153,No home garden,0,6,68 +809,246.4,No barrel,0,30153,Home garden,1,9,69.1 +810,155.82,No barrel,0,4565,No home garden,0,8,70.2 +811,217.2,No barrel,0,19301,No home garden,0,5,63 +812,188.68,No barrel,0,9641,No home garden,0,6,69.4 +813,181.37,Barrel,1,19682,No home garden,0,5,65.9 +814,187.14,Barrel,1,22598,No home garden,0,6,69.6 +815,161.35,No barrel,0,11515,No home garden,0,7,59.3 +816,197.48,Barrel,1,22563,No home garden,0,6,74.3 +817,213.81,Barrel,1,13822,No home garden,0,6,78.2 +818,171.01,Barrel,1,15346,No home garden,0,7,66.8 +819,237.19,No barrel,0,36793,Home garden,1,5,63.6 +820,198.76,No barrel,0,13357,No home garden,0,6,64.9 +821,186.66,No barrel,0,9571,No home garden,0,4,61.7 +822,226.83,No barrel,0,21392,No home garden,0,5,70.2 +823,191.18,No barrel,0,12552,No home garden,0,3,63.8 +824,253.1,Barrel,1,36397,Home garden,1,6,75.2 +825,264.02,No barrel,0,26390,No home garden,0,3,72.6 +826,207.36,Barrel,1,21210,No home garden,0,4,71.4 +827,232.32,No barrel,0,16352,No home garden,0,2,76 +828,202.49,No barrel,0,578,No home garden,0,9,71.2 +829,159.97,No barrel,0,8083,No home garden,0,5,59.1 +830,229.66,No barrel,0,18242,No home garden,0,7,68.1 +831,227.82,No barrel,0,6713,No home garden,0,3,73.6 +832,182.12,Barrel,1,24485,No home garden,0,3,70.8 +833,178.44,Barrel,1,22983,Home garden,1,9,67.2 +834,198.73,Barrel,1,25895,No home garden,0,4,63.1 +835,202.28,Barrel,1,22591,Home garden,1,7,75.8 +836,228.88,Barrel,1,24583,Home garden,1,7,77.5 +837,179.95,Barrel,1,18250,Home garden,1,10,65.2 +838,240.39,No barrel,0,16241,No home garden,0,2,70.6 +839,218.34,No barrel,0,21985,No home garden,0,5,66.5 +840,274.54,Barrel,1,34779,No home garden,0,1,74.9 +841,278.52,No barrel,0,37833,No home garden,0,3,70.9 +842,198.01,No barrel,0,22754,No home garden,0,6,61 +843,182.75,Barrel,1,28967,Home garden,1,9,65.7 +844,230.82,No barrel,0,15540,No home garden,0,3,70 +845,216.36,No barrel,0,9884,No home garden,0,8,65.7 +846,178.02,Barrel,1,18997,No home garden,0,2,66.2 +847,175.34,No barrel,0,26702,No home garden,0,6,60.9 +848,192.7,Barrel,1,26614,No home garden,0,5,66.4 +849,195.82,No barrel,0,20895,No home garden,0,4,63.5 +850,180.6,Barrel,1,11650,No home garden,0,4,68.7 +851,167.16,Barrel,1,16578,Home garden,1,9,69.7 +852,236.27,Barrel,1,29836,No home garden,0,1,68.8 +853,158.06,Barrel,1,16290,No home garden,0,7,71.1 +854,202.32,No barrel,0,25703,Home garden,1,7,60 +855,214.61,Barrel,1,33427,No home garden,0,4,75.8 +856,228.15,No barrel,0,15338,No home garden,0,2,66 +857,186.64,Barrel,1,11451,No home garden,0,5,78.9 +858,253.13,No barrel,0,18632,No home garden,0,3,69.7 +859,262.47,No barrel,0,19158,No home garden,0,6,74.7 +860,178.24,Barrel,1,20616,No home garden,0,6,64 +861,244.13,No barrel,0,27697,No home garden,0,3,68.4 +862,179.11,Barrel,1,22418,No home garden,0,5,76.1 +863,242.59,No barrel,0,33517,No home garden,0,3,69.7 +864,176.5,No barrel,0,17735,No home garden,0,6,61.9 +865,203.7,Barrel,1,29616,Home garden,1,7,76.5 +866,169.36,Barrel,1,12691,No home garden,0,3,62.6 +867,234.24,No barrel,0,23914,No home garden,0,2,65 +868,267.79,No barrel,0,25087,No home garden,0,4,77.2 +869,215.44,Barrel,1,19894,Home garden,1,8,76.7 +870,180.26,No barrel,0,14487,No home garden,0,6,68.7 +871,158.12,Barrel,1,7999,No home garden,0,3,73.3 +872,203.57,Barrel,1,18378,No home garden,0,5,72.3 +873,204.05,Barrel,1,16859,No home garden,0,4,74.1 +874,198.39,Barrel,1,31389,Home garden,1,8,75.4 +875,229.53,No barrel,0,12188,No home garden,0,3,66.4 +876,227.46,Barrel,1,39268,Home garden,1,8,72 +877,191.33,No barrel,0,21270,No home garden,0,5,67.5 +878,206.46,Barrel,1,22792,Home garden,1,7,73.2 +879,215.28,No barrel,0,11058,No home garden,0,5,73.2 +880,235.93,No barrel,0,12646,No home garden,0,2,71.6 +881,186.33,Barrel,1,22826,No home garden,0,5,71.4 +882,201.8,No barrel,0,26503,No home garden,0,5,58 +883,172.83,Barrel,1,19463,Home garden,1,10,76.8 +884,216.56,No barrel,0,8725,No home garden,0,5,70.6 +885,243.61,Barrel,1,35880,Home garden,1,9,75 +886,202.01,Barrel,1,21336,No home garden,0,5,65.2 +887,211.99,No barrel,0,10678,No home garden,0,5,74.6 +888,183.08,No barrel,0,2978,No home garden,0,4,68.4 +889,274.78,No barrel,0,28048,No home garden,0,2,67.8 +890,202.7,No barrel,0,12284,No home garden,0,6,71.8 +891,179.75,Barrel,1,13454,No home garden,0,6,67.2 +892,237.03,Barrel,1,22660,No home garden,0,2,73.9 +893,211.27,No barrel,0,6166,No home garden,0,4,65.3 +894,216.33,Barrel,1,32681,Home garden,1,7,73.1 +895,140.34,No barrel,0,4366,No home garden,0,5,61.3 +896,256.11,No barrel,0,27298,No home garden,0,4,70.4 +897,232.97,No barrel,0,27593,No home garden,0,4,68 +898,208,No barrel,0,23223,Home garden,1,8,65.2 +899,249.9,Barrel,1,32353,No home garden,0,1,69.3 +900,219.81,Barrel,1,26797,Home garden,1,7,70.2 +901,226.51,No barrel,0,20615,No home garden,0,3,76.8 +902,257.36,No barrel,0,18907,No home garden,0,5,73.4 +903,255.09,No barrel,0,27026,No home garden,0,5,74.6 +904,190.27,Barrel,1,16232,No home garden,0,6,75.8 +905,223.52,Barrel,1,21465,No home garden,0,2,76.5 +906,225.74,No barrel,0,25381,Home garden,1,8,66.4 +907,173.27,Barrel,1,14382,No home garden,0,6,78.3 +908,198.85,No barrel,0,12150,No home garden,0,4,66.5 +909,283.31,No barrel,0,34972,No home garden,0,5,77.8 +910,244.38,No barrel,0,17830,No home garden,0,5,72.7 +911,219.56,Barrel,1,27642,No home garden,0,3,75.8 +912,255.73,No barrel,0,25252,No home garden,0,2,71.6 +913,233.37,No barrel,0,30511,No home garden,0,5,66 +914,226.51,Barrel,1,29480,No home garden,0,4,73.4 +915,256.29,No barrel,0,37873,Home garden,1,6,67.9 +916,199.81,No barrel,0,6850,No home garden,0,3,69.3 +917,226.27,No barrel,0,20854,No home garden,0,4,74 +918,155.86,Barrel,1,18330,No home garden,0,7,63.3 +919,203.35,Barrel,1,33635,Home garden,1,6,62.8 +920,254.24,No barrel,0,16453,No home garden,0,5,75.1 +921,244.01,No barrel,0,27924,Home garden,1,8,70.4 +922,197.02,Barrel,1,21082,No home garden,0,6,76.3 +923,226.9,No barrel,0,13827,No home garden,0,7,67.1 +924,176.95,No barrel,0,4359,No home garden,0,5,64.4 +925,248.81,No barrel,0,20532,No home garden,0,6,73 +926,233.23,No barrel,0,22026,No home garden,0,7,69.8 +927,293.01,No barrel,0,29683,No home garden,0,5,72.4 +928,180.83,No barrel,0,27614,Home garden,1,8,58 +929,202.37,No barrel,0,12226,No home garden,0,6,70.4 +930,215.63,No barrel,0,19558,No home garden,0,7,68.5 +931,241.12,No barrel,0,27282,Home garden,1,7,67.4 +932,167.94,Barrel,1,15538,No home garden,0,6,67 +933,226.36,No barrel,0,7607,No home garden,0,5,67 +934,216.05,No barrel,0,21544,No home garden,0,5,65.5 +935,192.35,No barrel,0,21946,No home garden,0,5,55.6 +936,232.39,Barrel,1,24876,No home garden,0,5,73.8 +937,152.65,No barrel,0,4683,No home garden,0,8,62.5 +938,224.49,No barrel,0,22359,No home garden,0,2,62.6 +939,164.25,No barrel,0,12169,No home garden,0,7,66.9 +940,235,No barrel,0,15785,No home garden,0,5,69.5 +941,165.67,Barrel,1,10643,No home garden,0,5,68.9 +942,248.19,No barrel,0,20226,No home garden,0,4,68.1 +943,220.91,Barrel,1,27944,No home garden,0,4,72.2 +944,157,Barrel,1,8908,No home garden,0,6,66.7 +945,215.66,Barrel,1,27379,Home garden,1,7,70.8 +946,214.02,No barrel,0,12906,No home garden,0,3,75.9 +947,167.28,Barrel,1,16896,Home garden,1,9,71.2 +948,252.15,No barrel,0,27276,No home garden,0,5,70.9 +949,255.53,No barrel,0,31045,Home garden,1,6,70.2 +950,214.92,No barrel,0,10496,No home garden,0,2,70.5 +951,200.35,Barrel,1,22790,No home garden,0,2,72.6 +952,197.45,Barrel,1,25327,No home garden,0,1,65.9 +953,230.15,No barrel,0,25363,No home garden,0,4,60.8 +954,193.38,Barrel,1,32961,Home garden,1,6,63.1 +955,193.15,Barrel,1,22705,No home garden,0,2,67.1 +956,201.29,Barrel,1,18017,No home garden,0,8,74 +957,211.24,Barrel,1,22284,No home garden,0,4,62.9 +958,192.12,Barrel,1,21857,Home garden,1,8,72 +959,229.78,No barrel,0,26491,No home garden,0,5,65.5 +960,199.56,No barrel,0,23302,Home garden,1,7,59.5 +961,214.02,No barrel,0,13099,No home garden,0,4,69.4 +962,196.07,No barrel,0,14754,No home garden,0,6,68.4 +963,190.26,Barrel,1,10967,No home garden,0,5,72.3 +964,180.27,Barrel,1,17775,No home garden,0,4,69.7 +965,195.54,Barrel,1,24110,Home garden,1,8,72.3 +966,172.3,No barrel,0,3360,No home garden,0,4,56 +967,132.72,Barrel,1,10354,No home garden,0,8,69 +968,197.97,No barrel,0,19659,No home garden,0,4,62.5 +969,228.95,No barrel,0,22487,No home garden,0,6,65.2 +970,219.8,No barrel,0,31642,Home garden,1,6,66.5 +971,200.37,No barrel,0,5483,No home garden,0,7,76.8 +972,182.05,No barrel,0,4027,No home garden,0,7,75.4 +973,224.36,No barrel,0,16348,Home garden,1,9,69.8 +974,173.1,Barrel,1,15894,No home garden,0,4,66.7 +975,210.4,No barrel,0,19340,No home garden,0,6,71.2 +976,212.41,No barrel,0,13720,No home garden,0,3,69.8 +977,175.84,No barrel,0,14670,No home garden,0,7,62.4 +978,247.44,No barrel,0,16959,No home garden,0,2,70.5 +979,178.74,Barrel,1,17577,No home garden,0,6,73.3 +980,168.36,No barrel,0,8522,No home garden,0,6,63.6 +981,213.47,No barrel,0,9612,No home garden,0,8,75.8 +982,187.27,Barrel,1,23263,No home garden,0,5,69.4 +983,190.47,No barrel,0,16063,No home garden,0,7,66.6 +984,187.9,No barrel,0,18987,No home garden,0,7,59.4 +985,145.53,Barrel,1,21636,Home garden,1,9,65.6 +986,185.92,No barrel,0,18632,No home garden,0,5,64 +987,211.46,No barrel,0,11631,No home garden,0,8,70.2 +988,183.18,Barrel,1,20197,No home garden,0,6,66.3 +989,244.77,No barrel,0,23338,No home garden,0,6,72.1 +990,224.93,No barrel,0,17410,No home garden,0,3,69.6 +991,183.5,No barrel,0,9499,No home garden,0,3,60.8 +992,218.5,No barrel,0,21726,No home garden,0,5,65.9 +993,207.89,Barrel,1,18365,No home garden,0,3,75.1 +994,229.12,No barrel,0,15905,No home garden,0,5,70.6 +995,211.59,Barrel,1,19262,No home garden,0,4,74.8 +996,203.24,No barrel,0,5754,No home garden,0,7,65 +997,187.83,Barrel,1,17152,No home garden,0,4,69.8 +998,232.71,No barrel,0,32157,No home garden,0,5,69.1 +999,183.89,Barrel,1,20137,No home garden,0,3,74.8 +1000,255.38,No barrel,0,24143,No home garden,0,3,74.3 +1001,247.7,No barrel,0,17332,No home garden,0,5,78.1 +1002,238.39,No barrel,0,24896,Home garden,1,7,66.3 +1003,195.84,No barrel,0,25760,No home garden,0,6,66.4 +1004,192.77,No barrel,0,30962,No home garden,0,5,55.2 +1005,158.12,Barrel,1,9252,No home garden,0,6,72.1 +1006,213.2,No barrel,0,3750,No home garden,0,4,74.4 +1007,253.05,Barrel,1,25306,No home garden,0,5,73.6 +1008,234.32,No barrel,0,31372,No home garden,0,5,66.7 +1009,161.6,Barrel,1,15723,No home garden,0,3,68.6 +1010,213.04,No barrel,0,12614,No home garden,0,6,75.6 +1011,189.39,No barrel,0,14330,Home garden,1,9,62.1 +1012,191.8,Barrel,1,22121,No home garden,0,5,70.3 +1013,278.31,No barrel,0,29188,Home garden,1,6,70.1 +1014,183.72,Barrel,1,15760,No home garden,0,6,68.1 +1015,203.67,Barrel,1,24025,No home garden,0,3,70.4 +1016,205.19,Barrel,1,22898,No home garden,0,4,74.5 +1017,204.03,No barrel,0,14733,No home garden,0,8,67 +1018,274.01,No barrel,0,33228,No home garden,0,1,68.9 +1019,227.75,Barrel,1,21052,No home garden,0,5,78.3 +1020,202.15,Barrel,1,21863,No home garden,0,2,70.9 +1021,210,No barrel,0,21669,No home garden,0,6,70.1 +1022,185.2,No barrel,0,20772,Home garden,1,8,60.5 +1023,195.04,No barrel,0,15157,No home garden,0,7,63.8 +1024,142.43,Barrel,1,13206,Home garden,1,9,63.3 +1025,226.44,No barrel,0,29757,No home garden,0,6,65.5 +1026,258.56,No barrel,0,13091,No home garden,0,3,67.8 +1027,257.29,Barrel,1,32477,Home garden,1,8,80.8 +1028,223.79,No barrel,0,16371,No home garden,0,2,66.6 +1029,249.65,No barrel,0,12828,No home garden,0,4,72.2 +1030,208.08,No barrel,0,9805,No home garden,0,5,74 +1031,194.92,Barrel,1,16952,No home garden,0,6,75.6 +1032,156.54,Barrel,1,7986,Home garden,1,9,63.8 +1033,213.92,No barrel,0,23136,No home garden,0,4,65 +1034,289.87,No barrel,0,28484,No home garden,0,4,78.9 +1035,206.54,No barrel,0,17080,No home garden,0,6,66 +1036,234.18,Barrel,1,19544,No home garden,0,3,83 +1037,221.77,No barrel,0,27992,Home garden,1,9,72.3 +1038,214.94,Barrel,1,34266,No home garden,0,4,73.1 +1039,184.99,Barrel,1,18854,No home garden,0,2,68.5 +1040,259.47,No barrel,0,29605,No home garden,0,4,67.3 +1041,206.06,Barrel,1,14006,No home garden,0,4,73.7 +1042,191,No barrel,0,12591,No home garden,0,4,69.5 +1043,184.78,No barrel,0,6119,No home garden,0,5,65.5 +1044,186,No barrel,0,13450,No home garden,0,6,62.1 +1045,200.94,Barrel,1,27000,No home garden,0,3,67.6 +1046,206.38,Barrel,1,14410,No home garden,0,5,78.5 +1047,189.12,Barrel,1,8131,No home garden,0,6,77.8 +1048,208.03,No barrel,0,16159,No home garden,0,4,60.7 +1049,201.09,No barrel,0,16741,No home garden,0,7,62.1 +1050,173.58,Barrel,1,33445,Home garden,1,7,65.7 +1051,225.38,Barrel,1,22834,No home garden,0,3,77 +1052,214.01,Barrel,1,37069,No home garden,0,4,63.7 +1053,154.63,No barrel,0,7027,No home garden,0,5,63.3 +1054,201.55,No barrel,0,10845,No home garden,0,5,65.1 +1055,164.48,Barrel,1,11207,No home garden,0,6,72.3 +1056,225.52,No barrel,0,21747,No home garden,0,4,65.4 +1057,281.98,No barrel,0,35464,No home garden,0,2,68 +1058,189.34,Barrel,1,27188,Home garden,1,10,65.6 +1059,190.13,No barrel,0,10715,No home garden,0,8,69.3 +1060,250.17,No barrel,0,20218,No home garden,0,5,76.5 +1061,230.38,No barrel,0,5469,No home garden,0,5,77 +1062,282.42,No barrel,0,38515,No home garden,0,3,71.1 +1063,191.33,Barrel,1,19876,No home garden,0,4,66.5 +1064,171.01,No barrel,0,812,No home garden,0,4,66.7 +1065,229.47,No barrel,0,30257,Home garden,1,7,68 +1066,142.96,Barrel,1,4280,No home garden,0,5,67.5 +1067,282.57,No barrel,0,33649,Home garden,1,5,76.9 +1068,213.4,No barrel,0,16589,No home garden,0,3,68.6 +1069,192.65,Barrel,1,23615,Home garden,1,9,75.8 +1070,191.92,No barrel,0,18831,Home garden,1,8,66.4 +1071,201.44,Barrel,1,25388,No home garden,0,6,72.7 +1072,238.23,No barrel,0,14172,No home garden,0,2,72 +1073,225.12,No barrel,0,18390,No home garden,0,8,68.6 +1074,242.85,No barrel,0,23242,No home garden,0,5,62.4 +1075,238.93,No barrel,0,11722,No home garden,0,5,75.4 +1076,247.68,No barrel,0,29263,Home garden,1,6,69.9 +1077,202.81,No barrel,0,16039,No home garden,0,5,65.2 +1078,232.76,Barrel,1,36844,Home garden,1,8,72 +1079,168.96,No barrel,0,1490,No home garden,0,7,68.8 +1080,270.26,No barrel,0,38897,Home garden,1,8,64.4 +1081,190.58,Barrel,1,28530,No home garden,0,6,70.5 +1082,201.21,Barrel,1,32333,No home garden,0,4,66.9 +1083,159.5,Barrel,1,20838,No home garden,0,5,68.3 +1084,221.74,No barrel,0,22235,No home garden,0,5,71.3 +1085,249.21,No barrel,0,28199,No home garden,0,1,64.8 +1086,202.15,No barrel,0,1852,No home garden,0,5,74.7 +1087,168.22,Barrel,1,17425,Home garden,1,9,75 +1088,247.6,No barrel,0,25560,No home garden,0,5,71.2 +1089,192.87,Barrel,1,14659,No home garden,0,7,77.8 +1090,194.86,No barrel,0,17000,No home garden,0,6,66.7 +1091,260.18,No barrel,0,35508,No home garden,0,3,70.7 +1092,252.62,No barrel,0,26432,No home garden,0,4,63.6 +1093,188.49,No barrel,0,7226,No home garden,0,9,68.9 +1094,195.07,Barrel,1,19081,No home garden,0,6,78.3 +1095,208.19,Barrel,1,30303,Home garden,1,8,75.8 +1096,205.41,No barrel,0,6462,No home garden,0,5,72.4 +1097,221.4,Barrel,1,33116,Home garden,1,6,69.7 +1098,133.03,Barrel,1,6787,No home garden,0,7,67.3 +1099,208.32,No barrel,0,17606,No home garden,0,6,75.1 +1100,224.43,No barrel,0,20912,No home garden,0,5,72.2 +1101,192.35,No barrel,0,9554,No home garden,0,6,68 +1102,228.45,No barrel,0,20415,No home garden,0,7,68.2 +1103,229.51,No barrel,0,25247,No home garden,0,4,69.4 +1104,256.46,No barrel,0,18342,No home garden,0,2,73.4 +1105,138.86,Barrel,1,6949,No home garden,0,8,74.2 +1106,177.71,No barrel,0,20364,Home garden,1,8,58.6 +1107,230.6,No barrel,0,25972,No home garden,0,6,71.5 +1108,184.08,Barrel,1,17894,No home garden,0,6,74.2 +1109,164.85,Barrel,1,19135,No home garden,0,6,73.1 +1110,167.78,Barrel,1,17104,No home garden,0,6,74.6 +1111,190.2,Barrel,1,17532,No home garden,0,5,69.5 +1112,196.96,No barrel,0,5793,No home garden,0,5,70.2 +1113,176.95,Barrel,1,15662,No home garden,0,6,75 +1114,247.97,No barrel,0,26488,No home garden,0,4,74.7 +1115,222.52,No barrel,0,18915,No home garden,0,5,70.7 +1116,171.78,Barrel,1,18223,Home garden,1,10,65.8 +1117,233.51,Barrel,1,35356,No home garden,0,4,68.6 +1118,217.5,No barrel,0,16862,No home garden,0,2,68.1 +1119,198.36,No barrel,0,12841,No home garden,0,6,57.2 +1120,179.43,No barrel,0,14134,No home garden,0,8,66.3 +1121,259.39,No barrel,0,17161,No home garden,0,2,71 +1122,142.86,Barrel,1,6681,No home garden,0,6,67.9 +1123,223.5,No barrel,0,17329,No home garden,0,6,68.2 +1124,215.83,Barrel,1,23344,No home garden,0,5,70.8 +1125,205.54,No barrel,0,10890,No home garden,0,7,72.7 +1126,182.71,Barrel,1,9176,No home garden,0,5,77 +1127,207.19,No barrel,0,21292,No home garden,0,4,61.2 +1128,200.43,No barrel,0,11011,No home garden,0,9,63.1 +1129,299.66,No barrel,0,36433,No home garden,0,3,77.5 +1130,240.34,Barrel,1,36823,Home garden,1,9,73.5 +1131,140.73,Barrel,1,7203,No home garden,0,6,67.1 +1132,222.54,Barrel,1,23342,No home garden,0,3,72.2 +1133,208.41,No barrel,0,18494,No home garden,0,6,70.1 +1134,194.16,No barrel,0,23099,Home garden,1,10,67.2 +1135,181.65,No barrel,0,26037,Home garden,1,10,62.3 +1136,198.05,No barrel,0,12385,No home garden,0,3,69.3 +1137,193.87,Barrel,1,27213,Home garden,1,6,62.3 +1138,271.18,Barrel,1,30495,No home garden,0,3,80.8 +1139,224.09,No barrel,0,15881,No home garden,0,6,70.5 +1140,127.26,Barrel,1,7853,No home garden,0,6,68.6 +1141,190.49,No barrel,0,15889,No home garden,0,8,66.3 +1142,208.47,No barrel,0,17855,No home garden,0,4,67 +1143,195.23,Barrel,1,27079,Home garden,1,9,69.2 +1144,264.22,No barrel,0,31899,Home garden,1,8,74.9 +1145,282.15,No barrel,0,35073,Home garden,1,6,68 +1146,207.68,No barrel,0,13255,No home garden,0,5,68.6 +1147,239.91,No barrel,0,26485,No home garden,0,4,61.4 +1148,209.97,No barrel,0,26003,Home garden,1,6,58 +1149,268.55,No barrel,0,30258,Home garden,1,6,69.8 +1150,203.51,Barrel,1,16949,No home garden,0,7,76.7 +1151,194.85,No barrel,0,9033,No home garden,0,5,62.1 +1152,189.47,Barrel,1,31747,Home garden,1,6,75.1 +1153,214.85,Barrel,1,25924,No home garden,0,6,77.3 +1154,243.61,Barrel,1,37492,Home garden,1,5,75.2 +1155,198.8,No barrel,0,7541,No home garden,0,4,64.1 +1156,202.94,No barrel,0,27232,Home garden,1,7,59.7 +1157,236.01,No barrel,0,29722,Home garden,1,9,67.8 +1158,260.95,No barrel,0,26075,No home garden,0,2,65.9 +1159,239.17,No barrel,0,14384,No home garden,0,4,73.5 +1160,241.96,Barrel,1,29123,No home garden,0,4,81.7 +1161,233.16,No barrel,0,28459,Home garden,1,10,66.7 +1162,189.1,Barrel,1,22834,No home garden,0,5,69.2 +1163,255.35,No barrel,0,33570,Home garden,1,6,71.4 +1164,215.98,No barrel,0,22424,No home garden,0,4,61.7 +1165,201.79,Barrel,1,21779,No home garden,0,2,75.2 +1166,203.76,Barrel,1,21376,No home garden,0,4,64.1 +1167,264.42,No barrel,0,32310,Home garden,1,5,69.6 +1168,213.35,No barrel,0,15678,No home garden,0,4,73.7 +1169,220.01,No barrel,0,14919,No home garden,0,3,67.1 +1170,205.04,Barrel,1,24458,Home garden,1,9,69.9 +1171,234.22,No barrel,0,28436,No home garden,0,4,64.3 +1172,208.5,No barrel,0,16990,No home garden,0,5,66.9 +1173,249.38,No barrel,0,19676,No home garden,0,2,74.1 +1174,183.69,Barrel,1,25296,Home garden,1,9,75.3 +1175,264.78,No barrel,0,37279,Home garden,1,9,75.3 +1176,185.82,Barrel,1,20088,No home garden,0,7,60.3 +1177,221.92,Barrel,1,35177,Home garden,1,6,71.7 +1178,181.95,Barrel,1,13960,No home garden,0,6,75.8 +1179,253.64,No barrel,0,30159,Home garden,1,6,66.1 +1180,221.99,No barrel,0,24874,No home garden,0,6,67.2 +1181,257.1,No barrel,0,20654,No home garden,0,2,73 +1182,229.27,Barrel,1,31502,Home garden,1,7,77.5 +1183,229.71,Barrel,1,39137,Home garden,1,5,70.1 +1184,275.45,No barrel,0,25517,No home garden,0,4,79.3 +1185,274.7,Barrel,1,36472,No home garden,0,3,80.5 +1186,246.32,No barrel,0,36220,No home garden,0,3,58.9 +1187,220.97,Barrel,1,28104,No home garden,0,4,66.2 +1188,232.23,No barrel,0,29173,Home garden,1,7,71.5 +1189,226.82,No barrel,0,25607,No home garden,0,5,70.2 +1190,185.56,Barrel,1,18508,Home garden,1,9,78.1 +1191,200.29,No barrel,0,17968,No home garden,0,5,71.8 +1192,190.39,No barrel,0,20285,No home garden,0,2,61.6 +1193,218.75,Barrel,1,26344,No home garden,0,6,72.6 +1194,255.96,No barrel,0,31885,Home garden,1,7,71.2 +1195,216.08,Barrel,1,29816,No home garden,0,5,71.6 +1196,234.08,No barrel,0,22185,No home garden,0,4,69.5 +1197,224.64,No barrel,0,14517,No home garden,0,2,70.9 +1198,234.21,Barrel,1,36876,Home garden,1,5,77.7 +1199,258.38,No barrel,0,31655,No home garden,0,4,67.1 +1200,248.5,No barrel,0,13989,No home garden,0,5,73.2 +1201,221.24,No barrel,0,22183,No home garden,0,6,64.3 +1202,252.95,No barrel,0,17451,No home garden,0,6,69.7 +1203,222.28,No barrel,0,23782,No home garden,0,2,66.7 +1204,185.68,No barrel,0,2969,No home garden,0,5,71 +1205,249.85,No barrel,0,24186,No home garden,0,3,73.1 +1206,202.03,Barrel,1,21118,No home garden,0,6,65 +1207,211.35,No barrel,0,20995,No home garden,0,5,60 +1208,244.11,No barrel,0,25062,Home garden,1,8,75.2 +1209,227.8,No barrel,0,16219,No home garden,0,4,64.6 +1210,180.67,No barrel,0,19122,Home garden,1,8,60.4 +1211,169.63,No barrel,0,16677,Home garden,1,9,67.2 +1212,253.36,No barrel,0,23348,No home garden,0,4,74.2 +1213,180.24,Barrel,1,6868,No home garden,0,3,76 +1214,195.72,Barrel,1,11485,No home garden,0,3,77.4 +1215,178.1,Barrel,1,25572,Home garden,1,6,64.4 +1216,229.36,Barrel,1,28748,No home garden,0,4,70.2 +1217,208.4,No barrel,0,14181,No home garden,0,5,70.1 +1218,194.93,No barrel,0,9817,No home garden,0,3,64.2 +1219,160.82,Barrel,1,14859,No home garden,0,6,65 +1220,195.92,No barrel,0,10522,No home garden,0,4,70.6 +1221,211.45,No barrel,0,16007,No home garden,0,3,71 +1222,178.36,Barrel,1,24923,Home garden,1,8,68.3 +1223,255.21,No barrel,0,19859,No home garden,0,2,71 +1224,210.88,No barrel,0,9177,No home garden,0,2,72.6 +1225,199.99,No barrel,0,11933,No home garden,0,4,77.6 +1226,231.93,No barrel,0,25745,No home garden,0,2,69.6 +1227,225.27,No barrel,0,22408,No home garden,0,7,70.4 +1228,217.3,No barrel,0,18781,No home garden,0,5,73.5 +1229,270.4,No barrel,0,35488,No home garden,0,5,67.5 +1230,198.83,Barrel,1,22899,No home garden,0,6,69.1 +1231,230.57,No barrel,0,15576,No home garden,0,3,68.1 +1232,198.18,No barrel,0,19180,No home garden,0,7,67.1 +1233,210.29,Barrel,1,26335,No home garden,0,3,72.4 +1234,158.35,Barrel,1,9336,No home garden,0,4,71.6 +1235,261.36,No barrel,0,35610,No home garden,0,1,63 +1236,251.97,Barrel,1,29783,No home garden,0,5,70.5 +1237,208.3,No barrel,0,13387,No home garden,0,4,66.9 +1238,247.53,No barrel,0,22504,No home garden,0,3,72.7 +1239,218.15,Barrel,1,37900,Home garden,1,6,71.4 +1240,236.39,No barrel,0,23959,No home garden,0,4,70.2 +1241,271.18,No barrel,0,22785,No home garden,0,3,78.1 diff --git a/docs/files/data/generated_data/barrels_rct.csv b/docs/files/data/generated_data/barrels_rct.csv new file mode 100644 index 00000000..0e489d26 --- /dev/null +++ b/docs/files/data/generated_data/barrels_rct.csv @@ -0,0 +1,494 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,209.12,Barrel,1,25811,No home garden,0,3,68.5 +2,238.39,Barrel,1,39479,Home garden,1,7,77.4 +3,163.66,Barrel,1,13297,No home garden,0,7,65.1 +4,226,Barrel,1,28259,No home garden,0,2,65.7 +5,232.44,No barrel,0,21479,No home garden,0,5,65.7 +6,278.74,No barrel,0,28906,Home garden,1,8,76.9 +7,224.34,No barrel,0,7041,No home garden,0,3,70.9 +8,185.67,Barrel,1,29434,No home garden,0,4,56.1 +9,198.91,Barrel,1,24779,Home garden,1,8,70.1 +10,172.29,Barrel,1,29741,Home garden,1,9,62.2 +11,224.8,No barrel,0,16931,No home garden,0,8,73.3 +12,227.06,No barrel,0,10357,No home garden,0,9,81.8 +13,158.02,Barrel,1,16071,No home garden,0,6,67.2 +14,226.37,No barrel,0,14977,No home garden,0,6,70.5 +15,209.08,No barrel,0,13053,No home garden,0,3,71 +16,244.47,No barrel,0,24206,No home garden,0,5,71.3 +17,186.44,No barrel,0,14641,No home garden,0,9,67.6 +18,229.73,No barrel,0,15519,No home garden,0,3,70.7 +19,189.76,No barrel,0,6782,No home garden,0,9,67.4 +20,186.18,Barrel,1,19185,No home garden,0,5,72.2 +21,251.2,No barrel,0,26319,Home garden,1,7,73.4 +22,257.97,No barrel,0,35468,Home garden,1,8,66.2 +23,253.07,Barrel,1,35299,No home garden,0,3,70.4 +24,159.37,Barrel,1,8066,No home garden,0,9,77 +25,138.33,Barrel,1,9509,No home garden,0,6,64.3 +26,224.06,No barrel,0,21281,No home garden,0,2,61.8 +27,163.04,Barrel,1,20160,No home garden,0,2,54.4 +28,220.33,Barrel,1,28510,Home garden,1,7,75.9 +29,193.11,No barrel,0,3815,No home garden,0,6,68.2 +30,227.04,No barrel,0,11933,No home garden,0,4,76.1 +31,233.86,Barrel,1,36989,Home garden,1,6,66.5 +32,220.97,No barrel,0,13489,No home garden,0,5,76.8 +33,220.47,No barrel,0,17570,No home garden,0,3,74.5 +34,172.41,Barrel,1,17197,No home garden,0,3,65.3 +35,236.16,No barrel,0,37644,Home garden,1,6,66.8 +36,261.62,No barrel,0,33476,Home garden,1,8,72.4 +37,213.66,Barrel,1,24009,No home garden,0,1,73.8 +38,177.04,Barrel,1,10880,No home garden,0,4,72.1 +39,200.26,Barrel,1,31316,Home garden,1,7,71.8 +40,269.7,No barrel,0,34542,Home garden,1,6,72.5 +41,174.04,Barrel,1,14983,No home garden,0,5,73.3 +42,215.76,No barrel,0,27877,Home garden,1,9,64 +43,196.76,Barrel,1,27994,No home garden,0,5,69.9 +44,184.51,Barrel,1,15527,No home garden,0,2,67.8 +45,226.97,No barrel,0,13715,No home garden,0,8,75.2 +46,254.77,No barrel,0,28308,No home garden,0,2,70.9 +47,239.8,No barrel,0,26454,No home garden,0,5,65.1 +48,287.15,No barrel,0,29906,No home garden,0,4,79.1 +49,170.2,No barrel,0,18501,Home garden,1,9,63.8 +50,174.67,Barrel,1,26720,No home garden,0,5,65.2 +51,221.79,Barrel,1,35343,Home garden,1,6,65.8 +52,207.99,Barrel,1,12211,No home garden,0,6,83.8 +53,274.21,No barrel,0,28904,Home garden,1,7,71.3 +54,214,No barrel,0,13592,No home garden,0,6,66.8 +55,139.61,Barrel,1,12990,No home garden,0,4,69.4 +56,203.03,No barrel,0,9363,No home garden,0,7,69.2 +57,208.71,Barrel,1,27521,Home garden,1,7,68.5 +58,254,No barrel,0,24539,No home garden,0,4,68.4 +59,235.48,No barrel,0,26410,No home garden,0,4,65.7 +60,185.66,No barrel,0,12062,No home garden,0,6,67.9 +61,196.37,Barrel,1,32672,No home garden,0,4,64.6 +62,247.88,No barrel,0,34827,Home garden,1,6,75.7 +63,211.09,Barrel,1,24811,No home garden,0,3,70.1 +64,147.5,Barrel,1,13646,No home garden,0,6,65.9 +65,223.8,Barrel,1,20140,No home garden,0,3,74.4 +66,227.88,No barrel,0,24714,No home garden,0,4,68.2 +67,201.84,Barrel,1,11316,No home garden,0,8,76.3 +68,243.97,No barrel,0,23572,No home garden,0,4,70.6 +69,202.1,Barrel,1,29730,No home garden,0,5,68.4 +70,145.9,Barrel,1,12860,No home garden,0,6,62.4 +71,167.67,Barrel,1,13761,No home garden,0,6,78.3 +72,182.36,Barrel,1,25221,No home garden,0,4,61.9 +73,234.83,No barrel,0,31993,Home garden,1,6,70.2 +74,241.64,No barrel,0,31952,No home garden,0,5,68.5 +75,247.06,No barrel,0,36695,Home garden,1,5,61.8 +76,179.13,Barrel,1,16829,No home garden,0,1,65.9 +77,188.45,Barrel,1,26067,Home garden,1,8,68.8 +78,196.54,Barrel,1,23897,No home garden,0,7,63 +79,209.38,Barrel,1,34248,Home garden,1,7,67.6 +80,242.18,No barrel,0,28608,Home garden,1,7,73.1 +81,140.48,Barrel,1,4832,No home garden,0,8,67.8 +82,213.61,Barrel,1,24637,Home garden,1,7,68.4 +83,230.77,No barrel,0,29531,Home garden,1,6,66.1 +84,201.43,No barrel,0,18565,No home garden,0,5,66.7 +85,223.31,No barrel,0,19108,No home garden,0,1,70.8 +86,267.9,No barrel,0,30574,Home garden,1,6,66.2 +87,206.89,Barrel,1,20286,No home garden,0,4,76.9 +88,177.22,Barrel,1,16218,No home garden,0,4,71.4 +89,164.04,Barrel,1,18107,No home garden,0,7,63.8 +90,200.85,No barrel,0,23129,Home garden,1,8,71.8 +91,211.74,Barrel,1,17230,Home garden,1,9,75.4 +92,153.7,Barrel,1,24724,Home garden,1,8,61.4 +93,213.76,No barrel,0,12219,No home garden,0,2,69.6 +94,185.25,Barrel,1,27721,Home garden,1,6,71.2 +95,180.83,Barrel,1,18977,No home garden,0,4,73 +96,232.74,Barrel,1,25067,Home garden,1,7,79.4 +97,215.43,Barrel,1,27990,Home garden,1,6,71.9 +98,217.37,Barrel,1,16333,No home garden,0,6,79.2 +99,237.21,No barrel,0,26412,No home garden,0,6,65.9 +100,195.3,No barrel,0,6261,No home garden,0,6,63.2 +101,207.69,No barrel,0,22827,No home garden,0,3,65.6 +102,227.11,Barrel,1,28279,No home garden,0,4,69.2 +103,186.57,Barrel,1,18408,No home garden,0,7,69.6 +104,154.95,Barrel,1,11176,No home garden,0,6,66.5 +105,161.4,Barrel,1,10682,No home garden,0,7,73.4 +106,209.59,Barrel,1,25144,No home garden,0,4,75 +107,196.25,Barrel,1,22087,No home garden,0,6,69.2 +108,209.29,Barrel,1,33313,Home garden,1,8,65.8 +109,197.94,No barrel,0,26079,No home garden,0,5,54.7 +110,251.86,No barrel,0,21691,No home garden,0,5,68.5 +111,164.68,Barrel,1,24941,Home garden,1,10,65.8 +112,246.76,No barrel,0,28018,Home garden,1,8,74.9 +113,221.33,Barrel,1,26331,Home garden,1,8,73.7 +114,251.75,No barrel,0,32150,No home garden,0,4,70.1 +115,171.61,Barrel,1,27143,No home garden,0,5,67.6 +116,145.34,Barrel,1,15679,Home garden,1,9,70.7 +117,204,Barrel,1,34956,No home garden,0,3,71.3 +118,163.23,Barrel,1,23506,No home garden,0,4,63.8 +119,217.96,No barrel,0,21556,No home garden,0,4,62.2 +120,217.18,No barrel,0,11430,No home garden,0,2,66.9 +121,210.62,Barrel,1,19677,No home garden,0,5,73.1 +122,216.99,Barrel,1,28299,No home garden,0,4,70.4 +123,202,No barrel,0,14878,No home garden,0,5,71.4 +124,224.21,Barrel,1,19757,No home garden,0,5,76.2 +125,163.89,Barrel,1,24519,No home garden,0,5,65.2 +126,238.1,Barrel,1,27526,No home garden,0,6,74.7 +127,181.33,Barrel,1,22271,No home garden,0,6,76 +128,229.81,No barrel,0,17550,No home garden,0,3,72.7 +129,270.49,No barrel,0,22228,No home garden,0,3,72.5 +130,207.26,Barrel,1,18875,No home garden,0,2,70.3 +131,266.46,No barrel,0,28731,No home garden,0,3,74.8 +132,173.71,Barrel,1,19544,No home garden,0,7,70.9 +133,235.87,Barrel,1,28653,No home garden,0,4,76 +134,119.5,Barrel,1,14885,No home garden,0,7,62.9 +135,158.89,Barrel,1,27255,No home garden,0,5,55.2 +136,191.23,Barrel,1,22252,No home garden,0,5,68.3 +137,233.08,Barrel,1,16299,No home garden,0,3,79.8 +138,275.78,No barrel,0,28339,No home garden,0,4,74.2 +139,231.46,No barrel,0,31862,Home garden,1,6,66.7 +140,230.23,Barrel,1,25688,No home garden,0,5,74.9 +141,177.86,Barrel,1,23795,Home garden,1,10,72.6 +142,223.81,Barrel,1,26763,No home garden,0,5,79.4 +143,205.84,No barrel,0,20645,No home garden,0,6,74.5 +144,184.87,Barrel,1,11961,No home garden,0,4,68.8 +145,192.3,No barrel,0,17118,No home garden,0,8,64.9 +146,211.11,Barrel,1,28364,Home garden,1,6,70.8 +147,178.91,Barrel,1,7939,No home garden,0,7,74 +148,286.43,No barrel,0,32363,No home garden,0,2,79.8 +149,198.59,Barrel,1,20559,No home garden,0,3,73.2 +150,216.86,No barrel,0,22450,No home garden,0,7,70.2 +151,159.37,Barrel,1,21992,No home garden,0,4,68.1 +152,234.05,Barrel,1,27979,No home garden,0,2,69.9 +153,152.01,Barrel,1,6885,No home garden,0,7,70.6 +154,245.65,No barrel,0,30342,Home garden,1,7,71.7 +155,271.27,No barrel,0,18034,No home garden,0,5,79 +156,140.48,Barrel,1,3635,No home garden,0,4,75.4 +157,149.6,Barrel,1,13369,No home garden,0,2,63.5 +158,198.7,No barrel,0,20765,No home garden,0,7,66.3 +159,172.47,Barrel,1,20211,No home garden,0,5,66.6 +160,153.03,Barrel,1,6049,No home garden,0,6,71 +161,217.31,Barrel,1,28028,No home garden,0,6,74.4 +162,197.46,Barrel,1,24006,Home garden,1,8,70.2 +163,238.04,Barrel,1,22052,No home garden,0,4,77.3 +164,218.8,Barrel,1,27177,No home garden,0,6,76.4 +165,207.38,No barrel,0,20355,Home garden,1,8,64.1 +166,184.1,No barrel,0,9577,No home garden,0,9,64 +167,235.13,Barrel,1,34602,No home garden,0,4,80 +168,246.59,No barrel,0,24962,No home garden,0,5,69.1 +169,113.6,Barrel,1,7522,No home garden,0,9,67.4 +170,284.35,No barrel,0,30832,No home garden,0,3,77 +171,215.45,Barrel,1,33357,Home garden,1,8,73.2 +172,235.83,No barrel,0,28891,No home garden,0,4,64.2 +173,152.72,Barrel,1,7664,No home garden,0,7,67 +174,241.28,No barrel,0,22879,No home garden,0,1,65.7 +175,236,No barrel,0,32797,Home garden,1,9,70.7 +176,167.92,Barrel,1,6317,No home garden,0,3,71.5 +177,234.85,Barrel,1,38750,No home garden,0,4,69.4 +178,158.23,Barrel,1,10549,No home garden,0,6,74 +179,187.68,Barrel,1,16835,No home garden,0,2,68.4 +180,206.54,Barrel,1,29641,No home garden,0,5,57.8 +181,154.67,No barrel,0,1950,No home garden,0,7,63.2 +182,231.45,No barrel,0,21646,No home garden,0,4,71.3 +183,238.22,No barrel,0,31386,No home garden,0,5,61.1 +184,235.17,No barrel,0,23409,No home garden,0,5,67.9 +185,247.5,Barrel,1,36306,No home garden,0,3,83.1 +186,194.42,Barrel,1,14235,No home garden,0,8,77 +187,231.43,No barrel,0,19422,No home garden,0,3,66.3 +188,172.16,Barrel,1,19659,No home garden,0,5,72.3 +189,277.56,No barrel,0,24669,No home garden,0,5,76.7 +190,207.28,No barrel,0,14662,No home garden,0,5,71.9 +191,214.15,Barrel,1,24369,No home garden,0,4,74.5 +192,235.35,Barrel,1,36826,Home garden,1,7,76.9 +193,169.86,No barrel,0,17097,No home garden,0,6,63.7 +194,199.68,No barrel,0,14804,No home garden,0,5,69.3 +195,163.95,Barrel,1,20895,No home garden,0,7,64.6 +196,245.3,No barrel,0,23453,No home garden,0,4,73.7 +197,233.04,No barrel,0,15292,No home garden,0,4,71.2 +198,154.31,Barrel,1,11943,No home garden,0,4,64.5 +199,229.06,No barrel,0,39000,Home garden,1,4,62.7 +200,207.62,No barrel,0,24622,Home garden,1,7,66.1 +201,146.11,Barrel,1,12524,No home garden,0,4,66 +202,121.2,Barrel,1,7235,No home garden,0,9,66.4 +203,211.83,No barrel,0,19168,No home garden,0,6,68.7 +204,199.43,Barrel,1,28649,Home garden,1,8,74.5 +205,166.22,Barrel,1,17615,No home garden,0,3,67.3 +206,198.62,Barrel,1,24905,Home garden,1,8,76.3 +207,222.6,No barrel,0,29426,Home garden,1,7,71.7 +208,235.43,No barrel,0,22186,No home garden,0,5,69.7 +209,179.06,Barrel,1,24699,Home garden,1,8,72.1 +210,143.27,Barrel,1,16278,No home garden,0,8,65.4 +211,241.88,No barrel,0,30939,Home garden,1,9,67.3 +212,215.19,Barrel,1,28699,No home garden,0,6,69.6 +213,227.09,No barrel,0,22377,No home garden,0,5,69.9 +214,228.36,No barrel,0,25072,No home garden,0,5,67.2 +215,191,Barrel,1,17516,No home garden,0,7,72.8 +216,242.12,No barrel,0,24901,Home garden,1,9,75.9 +217,162.93,No barrel,0,3797,No home garden,0,7,65.2 +218,147.43,Barrel,1,12596,No home garden,0,5,68.6 +219,228.73,Barrel,1,29474,Home garden,1,7,74.3 +220,222.53,No barrel,0,20795,Home garden,1,8,69.1 +221,255.51,No barrel,0,21396,No home garden,0,5,72.6 +222,215,No barrel,0,11609,No home garden,0,7,73.5 +223,258.54,No barrel,0,26493,No home garden,0,4,76.8 +224,156.36,Barrel,1,12809,No home garden,0,7,65.5 +225,162.7,Barrel,1,13605,No home garden,0,7,66.8 +226,218.3,Barrel,1,26145,No home garden,0,5,70.7 +227,139.86,Barrel,1,572,No home garden,0,9,66.3 +228,247.65,No barrel,0,28862,No home garden,0,4,67 +229,266.93,No barrel,0,28305,No home garden,0,4,75.4 +230,170.07,Barrel,1,22778,Home garden,1,8,67.1 +231,246.68,No barrel,0,28042,No home garden,0,6,75.5 +232,213.98,Barrel,1,20065,No home garden,0,3,77 +233,184.08,No barrel,0,8463,No home garden,0,6,70.2 +234,211.87,Barrel,1,19207,No home garden,0,3,79.6 +235,167.48,Barrel,1,22067,Home garden,1,8,63.7 +236,170.19,Barrel,1,12730,No home garden,0,3,64 +237,177.81,Barrel,1,23102,No home garden,0,5,62.5 +238,198.47,Barrel,1,25148,Home garden,1,7,73.6 +239,254.68,No barrel,0,29420,No home garden,0,5,67.3 +240,267.82,No barrel,0,27732,No home garden,0,5,70.1 +241,223.48,Barrel,1,26237,No home garden,0,4,67.8 +242,184.77,Barrel,1,16245,No home garden,0,2,65.5 +243,205.78,Barrel,1,20156,No home garden,0,4,76.4 +244,196.29,Barrel,1,12116,No home garden,0,3,69.6 +245,177.52,Barrel,1,27499,No home garden,0,4,57.7 +246,251.84,Barrel,1,29061,No home garden,0,3,74.5 +247,173.98,Barrel,1,16866,No home garden,0,8,73.8 +248,181.66,Barrel,1,14483,No home garden,0,7,71.3 +249,205.85,No barrel,0,20120,No home garden,0,7,75.8 +250,164.38,Barrel,1,17426,No home garden,0,8,71.2 +251,231.16,No barrel,0,10322,No home garden,0,6,81.1 +252,167.63,Barrel,1,10334,No home garden,0,6,65.7 +253,249.36,No barrel,0,31526,Home garden,1,6,73.7 +254,195.66,No barrel,0,14850,No home garden,0,5,68.4 +255,184.56,Barrel,1,13115,No home garden,0,3,65.8 +256,208.42,Barrel,1,29775,No home garden,0,5,71.2 +257,213.56,No barrel,0,24220,No home garden,0,5,64.2 +258,233.57,No barrel,0,17341,No home garden,0,4,69.9 +259,240.53,No barrel,0,23242,No home garden,0,6,63.5 +260,286.79,No barrel,0,38900,Home garden,1,7,71 +261,171.92,Barrel,1,12636,No home garden,0,5,72.5 +262,206.97,Barrel,1,25900,Home garden,1,7,74.1 +263,205.2,Barrel,1,30876,Home garden,1,6,64.2 +264,244.36,Barrel,1,38559,Home garden,1,6,72.2 +265,143.54,Barrel,1,11182,No home garden,0,6,67.6 +266,237.98,No barrel,0,25847,No home garden,0,4,70.2 +267,259.23,No barrel,0,16846,No home garden,0,2,74.6 +268,202.09,Barrel,1,21089,No home garden,0,6,71.7 +269,151.88,Barrel,1,11424,No home garden,0,4,61.8 +270,236.68,Barrel,1,34542,No home garden,0,3,69.6 +271,211.02,No barrel,0,22464,Home garden,1,7,68.2 +272,211.26,No barrel,0,11423,No home garden,0,4,74.6 +273,205.76,No barrel,0,26701,No home garden,0,5,65.1 +274,185.18,Barrel,1,13528,No home garden,0,2,66.9 +275,202.92,Barrel,1,30111,Home garden,1,7,73.7 +276,180.99,No barrel,0,7301,No home garden,0,9,62.8 +277,202.46,Barrel,1,19713,No home garden,0,2,66.8 +278,220.91,No barrel,0,15397,No home garden,0,6,75.5 +279,199.05,No barrel,0,24008,Home garden,1,7,57.2 +280,251.89,Barrel,1,36530,No home garden,0,3,65.6 +281,242.46,No barrel,0,22268,Home garden,1,8,75.7 +282,175.14,Barrel,1,22842,No home garden,0,7,73.2 +283,194.89,No barrel,0,5676,No home garden,0,3,67 +284,207.72,No barrel,0,19227,No home garden,0,5,63.3 +285,247.36,No barrel,0,12084,No home garden,0,5,72.7 +286,221.84,No barrel,0,20179,No home garden,0,7,72.1 +287,188.49,No barrel,0,13680,No home garden,0,4,67.8 +288,205.89,Barrel,1,29663,Home garden,1,7,68.6 +289,200.66,Barrel,1,9402,No home garden,0,4,70.9 +290,111.58,Barrel,1,4957,No home garden,0,10,72.3 +291,161.16,Barrel,1,5772,No home garden,0,5,73.4 +292,187.42,Barrel,1,25044,Home garden,1,8,66.9 +293,209.99,No barrel,0,9163,No home garden,0,5,73.6 +294,191.23,No barrel,0,11746,No home garden,0,3,68.5 +295,252.14,Barrel,1,36012,No home garden,0,4,74.6 +296,177.33,No barrel,0,19909,No home garden,0,7,58.4 +297,167.03,Barrel,1,13791,No home garden,0,3,71.7 +298,187.81,No barrel,0,17166,Home garden,1,8,68.7 +299,198.57,Barrel,1,32059,No home garden,0,4,74.9 +300,231.49,No barrel,0,15538,No home garden,0,8,74 +301,232.52,No barrel,0,24576,No home garden,0,6,67.6 +302,208.64,Barrel,1,36060,Home garden,1,8,65.2 +303,162.41,Barrel,1,14428,No home garden,0,4,65.1 +304,101.26,Barrel,1,16403,No home garden,0,6,59.6 +305,194.97,Barrel,1,15809,No home garden,0,7,74.1 +306,193.42,Barrel,1,16009,No home garden,0,3,74.1 +307,213.12,No barrel,0,22192,Home garden,1,10,65.5 +308,266.1,No barrel,0,32695,Home garden,1,8,73 +309,234.76,No barrel,0,26563,Home garden,1,8,73.6 +310,253.2,No barrel,0,20250,No home garden,0,4,76.9 +311,210.04,No barrel,0,19129,No home garden,0,2,67.6 +312,267.01,No barrel,0,36691,Home garden,1,10,71.7 +313,145.63,Barrel,1,19936,Home garden,1,9,66.8 +314,275.26,No barrel,0,30956,No home garden,0,4,77.2 +315,192.9,No barrel,0,9035,No home garden,0,5,71.5 +316,207.12,Barrel,1,25321,No home garden,0,6,71.4 +317,185.11,Barrel,1,21845,No home garden,0,7,71.1 +318,142.82,Barrel,1,18141,No home garden,0,6,60 +319,210.66,No barrel,0,17294,Home garden,1,8,62.5 +320,182.06,Barrel,1,24703,Home garden,1,10,66.7 +321,206.6,No barrel,0,26873,Home garden,1,7,61.3 +322,178.8,Barrel,1,23680,Home garden,1,10,72.2 +323,237.5,Barrel,1,32314,No home garden,0,4,76.6 +324,252.24,No barrel,0,26245,No home garden,0,6,69.3 +325,204.38,No barrel,0,21201,No home garden,0,6,69.3 +326,227.1,Barrel,1,31968,No home garden,0,2,69.6 +327,249.2,No barrel,0,21966,No home garden,0,6,78.1 +328,238.55,No barrel,0,21619,No home garden,0,3,73.6 +329,262.91,No barrel,0,29348,No home garden,0,5,75.2 +330,228.45,No barrel,0,17334,No home garden,0,6,73.2 +331,221.84,No barrel,0,22451,Home garden,1,8,67.7 +332,177.4,Barrel,1,23481,Home garden,1,8,67.5 +333,189.1,Barrel,1,11152,No home garden,0,6,79.1 +334,189.52,Barrel,1,13522,No home garden,0,2,72.9 +335,275.7,No barrel,0,18675,No home garden,0,2,70.8 +336,218.46,No barrel,0,29744,Home garden,1,6,67.3 +337,188.22,Barrel,1,29141,Home garden,1,9,72.5 +338,151.03,Barrel,1,18130,No home garden,0,6,61.7 +339,200.19,No barrel,0,9674,No home garden,0,7,64.5 +340,170.18,Barrel,1,2995,No home garden,0,7,69.4 +341,170.78,Barrel,1,17610,No home garden,0,4,67.5 +342,145.01,Barrel,1,5752,No home garden,0,5,67 +343,157.96,Barrel,1,18593,No home garden,0,5,67.1 +344,255.89,Barrel,1,31806,No home garden,0,4,77.6 +345,150.54,Barrel,1,4582,No home garden,0,7,67.5 +346,253.99,Barrel,1,27107,Home garden,1,7,78.2 +347,212.76,Barrel,1,20361,No home garden,0,6,74.8 +348,167.34,Barrel,1,11789,No home garden,0,7,74.7 +349,239.61,No barrel,0,22098,No home garden,0,4,67.7 +350,162.49,Barrel,1,9797,No home garden,0,3,59.8 +351,241.19,Barrel,1,28685,Home garden,1,7,78.7 +352,221.59,Barrel,1,23137,No home garden,0,2,71.4 +353,186.52,Barrel,1,17442,No home garden,0,5,76.7 +354,138.14,Barrel,1,2082,No home garden,0,6,72.5 +355,163.98,Barrel,1,1886,No home garden,0,6,73.3 +356,192.42,Barrel,1,19408,No home garden,0,3,67.9 +357,204.77,Barrel,1,15740,No home garden,0,2,65.6 +358,139.69,Barrel,1,10330,No home garden,0,8,68.4 +359,243.61,No barrel,0,23610,Home garden,1,8,73.2 +360,150.08,Barrel,1,10932,No home garden,0,5,66.8 +361,210.29,No barrel,0,11705,No home garden,0,4,67.4 +362,279.24,No barrel,0,36420,Home garden,1,7,66.9 +363,282.31,No barrel,0,37060,Home garden,1,8,76.9 +364,234.9,No barrel,0,20577,No home garden,0,3,74.5 +365,194.45,No barrel,0,13606,No home garden,0,6,69.8 +366,186.22,Barrel,1,24182,No home garden,0,7,64.9 +367,164.49,Barrel,1,8218,No home garden,0,3,67 +368,235.68,No barrel,0,28461,Home garden,1,6,70.3 +369,150.77,Barrel,1,11640,No home garden,0,4,71.2 +370,151.53,Barrel,1,6801,No home garden,0,5,64.5 +371,186.93,Barrel,1,19448,No home garden,0,5,64.1 +372,178.4,Barrel,1,20970,No home garden,0,6,65.1 +373,193.37,Barrel,1,21163,No home garden,0,1,69 +374,175.72,Barrel,1,17070,No home garden,0,3,66.5 +375,141.2,Barrel,1,30536,Home garden,1,10,58.3 +376,191.69,No barrel,0,982,No home garden,0,7,72.8 +377,249,No barrel,0,19660,No home garden,0,3,70.1 +378,184.1,Barrel,1,22161,Home garden,1,9,81.1 +379,264.43,No barrel,0,31622,No home garden,0,4,65 +380,225.46,No barrel,0,8157,No home garden,0,7,70.9 +381,178.21,Barrel,1,13119,No home garden,0,5,73 +382,198.78,Barrel,1,24252,No home garden,0,5,73.1 +383,225.73,No barrel,0,17648,No home garden,0,5,75.3 +384,149.1,Barrel,1,3478,No home garden,0,4,61.6 +385,209.95,Barrel,1,27011,No home garden,0,4,69.7 +386,180.57,Barrel,1,16246,No home garden,0,3,66.3 +387,187.03,Barrel,1,13220,No home garden,0,3,71.3 +388,213.72,No barrel,0,29814,Home garden,1,10,68.7 +389,206.81,Barrel,1,32031,Home garden,1,7,72.1 +390,227.54,No barrel,0,19079,No home garden,0,3,63.3 +391,238.06,Barrel,1,31389,No home garden,0,3,76.8 +392,205,Barrel,1,16959,No home garden,0,3,74.5 +393,216.6,Barrel,1,34034,Home garden,1,9,71.1 +394,189.05,No barrel,0,14242,No home garden,0,7,65.4 +395,226.08,No barrel,0,7896,No home garden,0,4,75 +396,170.96,No barrel,0,15567,No home garden,0,8,60.5 +397,215.55,No barrel,0,11384,No home garden,0,5,72.5 +398,241.28,No barrel,0,12423,No home garden,0,2,67.3 +399,127.85,Barrel,1,11376,No home garden,0,6,66.7 +400,271.68,No barrel,0,27549,No home garden,0,4,74.7 +401,209.13,No barrel,0,22512,No home garden,0,5,65.4 +402,224.33,No barrel,0,21336,Home garden,1,9,70.7 +403,198.13,No barrel,0,12950,No home garden,0,3,64.3 +404,219.19,No barrel,0,26771,Home garden,1,7,68.3 +405,147.52,Barrel,1,12474,No home garden,0,6,65 +406,201.83,No barrel,0,15037,Home garden,1,10,73.1 +407,185.17,Barrel,1,21735,Home garden,1,8,71.2 +408,254.96,No barrel,0,33339,Home garden,1,7,75 +409,171.68,Barrel,1,21485,No home garden,0,6,69.7 +410,251.87,No barrel,0,19231,No home garden,0,6,76.1 +411,186.05,Barrel,1,11639,No home garden,0,4,69.9 +412,174.26,Barrel,1,23759,No home garden,0,4,59.8 +413,210.55,No barrel,0,19035,No home garden,0,7,63.1 +414,236.6,No barrel,0,12768,No home garden,0,4,68.5 +415,188.31,Barrel,1,14954,No home garden,0,5,73.6 +416,189.69,Barrel,1,23186,No home garden,0,6,77.3 +417,169.15,Barrel,1,18246,No home garden,0,6,72.9 +418,216.6,No barrel,0,12380,No home garden,0,6,72.7 +419,254.69,No barrel,0,30214,No home garden,0,5,77.2 +420,170.96,No barrel,0,9743,No home garden,0,8,61.1 +421,177.28,Barrel,1,14253,No home garden,0,6,74.1 +422,191.08,No barrel,0,16838,No home garden,0,5,64.1 +423,260.63,No barrel,0,21306,No home garden,0,5,76.1 +424,195.57,No barrel,0,12565,No home garden,0,6,65.2 +425,250.1,No barrel,0,29013,No home garden,0,5,70.4 +426,238.95,Barrel,1,28754,No home garden,0,1,64.2 +427,258.69,Barrel,1,33999,No home garden,0,3,72.7 +428,159.63,No barrel,0,4514,No home garden,0,5,68.4 +429,233.18,No barrel,0,28854,No home garden,0,5,68.9 +430,226.18,Barrel,1,32674,Home garden,1,8,70 +431,221.2,Barrel,1,25658,No home garden,0,1,68.7 +432,208.29,No barrel,0,9121,No home garden,0,3,73.3 +433,206.17,Barrel,1,20175,No home garden,0,7,70.4 +434,293.28,No barrel,0,33906,No home garden,0,4,74.1 +435,260.73,No barrel,0,14747,No home garden,0,2,72.7 +436,202.98,Barrel,1,27357,Home garden,1,7,76.3 +437,240.17,No barrel,0,19782,No home garden,0,3,66.7 +438,155.14,Barrel,1,3006,No home garden,0,9,75.6 +439,157.46,Barrel,1,4741,No home garden,0,5,64.4 +440,186.63,No barrel,0,6697,Home garden,1,10,65.7 +441,184.82,Barrel,1,19251,No home garden,0,7,66.5 +442,178.85,Barrel,1,16104,No home garden,0,7,65.7 +443,203.99,No barrel,0,4106,No home garden,0,6,74.2 +444,164.37,Barrel,1,11793,No home garden,0,2,64.3 +445,177.08,No barrel,0,11378,No home garden,0,9,72.8 +446,184.46,Barrel,1,14103,No home garden,0,2,67.7 +447,250.94,No barrel,0,30836,No home garden,0,5,71.4 +448,217.1,No barrel,0,20782,Home garden,1,7,70.2 +449,207.97,Barrel,1,31260,Home garden,1,9,73.8 +450,190.13,Barrel,1,20661,No home garden,0,2,71.4 +451,186.14,Barrel,1,13977,No home garden,0,4,68.8 +452,226.82,No barrel,0,17355,No home garden,0,2,70.2 +453,198.93,No barrel,0,21482,Home garden,1,8,66.8 +454,119.71,Barrel,1,13677,No home garden,0,8,65.2 +455,229.93,Barrel,1,26645,No home garden,0,4,74.4 +456,180.06,Barrel,1,11934,No home garden,0,4,66.3 +457,201.93,Barrel,1,21117,No home garden,0,5,68.5 +458,241.86,No barrel,0,22077,No home garden,0,3,64 +459,158.09,Barrel,1,16688,No home garden,0,6,64.9 +460,244.47,No barrel,0,38528,Home garden,1,6,59.5 +461,239.8,Barrel,1,18839,No home garden,0,3,76.2 +462,237.47,Barrel,1,31148,No home garden,0,4,78 +463,224.6,No barrel,0,17226,No home garden,0,5,72 +464,131.08,Barrel,1,3494,No home garden,0,5,62.7 +465,152.13,Barrel,1,19242,No home garden,0,8,65.9 +466,217.99,No barrel,0,17631,No home garden,0,5,77.8 +467,99.63,Barrel,1,7341,No home garden,0,6,54.3 +468,246.4,No barrel,0,36758,Home garden,1,6,71.6 +469,159.77,Barrel,1,16308,No home garden,0,3,61.5 +470,216.95,No barrel,0,12537,No home garden,0,5,67.3 +471,178.75,No barrel,0,3592,No home garden,0,6,72.2 +472,204.05,No barrel,0,13035,No home garden,0,3,68.4 +473,267.06,Barrel,1,32190,Home garden,1,6,81.8 +474,197.12,Barrel,1,18444,No home garden,0,4,66.3 +475,244.41,No barrel,0,33438,Home garden,1,5,73.8 +476,281.83,No barrel,0,33103,No home garden,0,2,70.7 +477,216.74,Barrel,1,21262,No home garden,0,2,66.9 +478,153.14,Barrel,1,17543,No home garden,0,6,63.1 +479,185.92,Barrel,1,18878,No home garden,0,4,61.2 +480,245.79,No barrel,0,20398,No home garden,0,2,60.3 +481,236.07,No barrel,0,33642,Home garden,1,7,59.4 +482,269.57,No barrel,0,37338,Home garden,1,6,67.4 +483,245.82,No barrel,0,27251,No home garden,0,6,66.5 +484,170.21,Barrel,1,24893,No home garden,0,6,65.6 +485,267.53,No barrel,0,19375,No home garden,0,2,70.9 +486,256.15,Barrel,1,28103,No home garden,0,4,82.1 +487,212.33,No barrel,0,15588,Home garden,1,8,72.2 +488,202.83,Barrel,1,25928,No home garden,0,5,68.7 +489,250.38,No barrel,0,31002,No home garden,0,4,60.9 +490,179.96,Barrel,1,8360,No home garden,0,5,71 +491,182.15,Barrel,1,20315,No home garden,0,7,66.5 +492,189.84,Barrel,1,21202,Home garden,1,10,74.5 +493,179.33,Barrel,1,17548,No home garden,0,6,71.3 diff --git a/docs/files/data/generated_data/bed_nets_observed.csv b/docs/files/data/generated_data/bed_nets_observed.csv new file mode 100644 index 00000000..7b143f9e --- /dev/null +++ b/docs/files/data/generated_data/bed_nets_observed.csv @@ -0,0 +1,2001 @@ +treatment,bed_net,health +Control,No bed net,24.6 +Control,No bed net,36.4 +Treatment,Bed net,49.1 +Treatment,Bed net,47 +Control,Bed net,58.6 +Treatment,Bed net,63.9 +Treatment,No bed net,34.5 +Control,No bed net,19.4 +Treatment,Bed net,36.6 +Control,No bed net,37.4 +Control,No bed net,48.1 +Treatment,Bed net,50.7 +Treatment,No bed net,44.2 +Control,Bed net,57 +Control,No bed net,10.4 +Control,Bed net,49.4 +Control,No bed net,22.7 +Treatment,No bed net,24.2 +Treatment,No bed net,22.7 +Control,No bed net,28.9 +Treatment,No bed net,28.3 +Treatment,No bed net,28 +Treatment,No bed net,24.4 +Control,No bed net,53.2 +Control,No bed net,47.4 +Treatment,Bed net,50.7 +Control,No bed net,41.7 +Control,Bed net,66.1 +Treatment,Bed net,59.2 +Control,No 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net,66.4 +Control,No bed net,25.8 +Control,No bed net,30.5 +Control,No bed net,53.5 +Treatment,No bed net,41.9 +Treatment,Bed net,47.7 +Control,Bed net,44 +Control,No bed net,44.2 +Treatment,No bed net,29.4 +Treatment,No bed net,45.6 +Control,Bed net,51.9 +Treatment,Bed net,62.7 +Treatment,Bed net,31.4 +Treatment,No bed net,44.5 +Control,No bed net,38.6 +Treatment,Bed net,56.3 +Control,No bed net,49.8 +Control,No bed net,59.6 +Control,No bed net,40.4 +Control,Bed net,37 +Control,No bed net,41.4 +Treatment,No bed net,32.9 +Control,Bed net,61.4 +Treatment,Bed net,36 +Control,Bed net,51.5 +Treatment,Bed net,81.2 +Control,No bed net,34.6 +Treatment,No bed net,37.1 +Control,No bed net,20.4 +Control,No bed net,48.5 +Control,No bed net,48.6 +Treatment,Bed net,72.9 +Control,No bed net,30.4 +Treatment,No bed net,17.7 +Treatment,Bed net,54.6 +Control,No bed net,49.7 +Treatment,No bed net,35.6 +Treatment,Bed net,53.1 +Control,Bed net,63.1 +Control,No bed net,46.9 +Treatment,Bed net,31.1 +Treatment,No bed net,19.7 +Control,Bed net,59.9 +Treatment,Bed net,68.3 +Treatment,No bed net,25 +Treatment,Bed net,69.1 +Treatment,No bed net,44.4 +Control,Bed net,62.4 +Treatment,No bed net,27.2 +Control,Bed net,55 +Treatment,No bed net,28.7 +Control,No bed net,36.3 +Treatment,Bed net,44.4 +Treatment,Bed net,55.4 +Treatment,Bed net,51.8 +Treatment,No bed net,42 +Control,No bed net,39.3 +Control,No bed net,39.3 +Treatment,No bed net,11.1 +Treatment,No bed net,26.5 +Treatment,Bed net,48.6 +Treatment,No bed net,33.9 +Control,No bed net,39.5 +Treatment,No bed net,47.7 +Control,No bed net,41.2 +Treatment,Bed net,35.8 +Control,No bed net,40.2 +Treatment,No bed net,43.8 +Control,No bed net,31.5 +Treatment,Bed net,45.5 +Control,No bed net,25.2 +Treatment,No bed net,34.7 +Control,No bed net,43.1 +Treatment,Bed net,61 +Control,Bed net,51.9 +Treatment,Bed net,66 +Control,No bed net,41.1 +Control,No bed net,32.8 +Control,No bed net,18.6 +Treatment,Bed net,46.9 +Treatment,No bed net,11.2 +Control,Bed net,54.4 +Treatment,No bed net,21.5 +Control,Bed net,52.8 +Control,No bed net,35 +Treatment,Bed net,44.7 +Treatment,No bed net,28.3 +Treatment,Bed net,54.8 +Treatment,Bed net,50.1 +Treatment,Bed net,45.1 +Control,No bed net,30.4 +Control,No bed net,44.8 +Control,Bed net,53.5 +Control,Bed net,48.4 +Control,No bed net,36.5 +Treatment,No bed net,13.9 +Treatment,Bed net,64.9 +Control,No bed net,28.3 +Treatment,Bed net,41.3 +Control,No bed net,54.2 +Treatment,Bed net,54.2 +Treatment,Bed net,65.2 +Control,Bed net,73.8 +Control,No bed net,30.4 +Control,No bed net,27.3 +Treatment,No bed net,10.5 +Control,No bed net,37.6 +Treatment,Bed net,53.4 +Treatment,No bed net,33.1 +Treatment,Bed net,42.3 +Treatment,Bed net,19.6 +Control,No bed net,34.7 +Treatment,Bed net,65.1 +Control,No bed net,42.1 +Treatment,Bed net,59.8 +Treatment,No bed net,36.7 +Control,Bed net,45.4 +Control,No bed net,13.8 +Control,Bed net,57.3 +Treatment,Bed net,55.7 +Treatment,Bed net,56 +Control,No bed net,49 +Treatment,Bed net,54.6 +Control,No bed net,20.7 +Treatment,Bed net,53.6 +Treatment,No bed net,18.2 +Treatment,Bed net,78.1 +Treatment,No bed net,45.1 +Control,No bed net,19.7 +Control,Bed net,62.2 +Treatment,Bed net,47.6 +Treatment,Bed net,38.9 +Control,No bed net,41.8 +Treatment,Bed net,39.1 +Treatment,Bed net,60.5 +Control,Bed net,62.3 +Control,No bed net,43.4 +Treatment,Bed net,64.7 +Treatment,Bed net,43.8 +Control,No bed net,17.3 +Treatment,No bed net,46 +Control,No bed net,35.7 +Treatment,No bed net,37.6 +Treatment,Bed net,49.8 +Treatment,No bed net,54.8 +Control,No bed net,33.7 +Control,No bed net,40.9 +Treatment,No bed net,29.4 +Control,No bed net,29.4 +Control,Bed net,58.2 +Treatment,No bed net,24.3 +Treatment,Bed net,39.5 +Control,No bed net,32.3 +Control,No bed net,43.8 +Treatment,No bed net,17.5 +Control,No bed net,41.3 +Treatment,Bed net,28.7 +Control,No bed net,35.9 +Treatment,No bed net,50.6 +Control,No bed net,46.4 +Treatment,Bed net,60.1 +Control,No bed net,22.7 +Treatment,Bed net,58.6 +Control,No bed net,43.6 +Treatment,Bed net,84.7 +Control,No bed net,41 +Control,No bed net,55.1 +Treatment,No bed net,40.9 +Treatment,Bed net,39.4 +Control,No bed net,37.3 +Control,No bed net,29.3 +Treatment,Bed net,77.1 +Treatment,Bed net,57.8 +Treatment,Bed net,58.6 +Treatment,No bed net,41.5 +Treatment,Bed net,52.2 +Treatment,Bed net,50.3 +Treatment,No bed net,40.3 +Treatment,No bed net,15.9 +Treatment,No bed net,30.5 +Treatment,Bed net,65.3 +Treatment,Bed net,31.7 +Treatment,Bed net,69 +Treatment,No bed net,24.3 +Treatment,No bed net,37.7 +Control,No bed net,17.7 +Control,No bed net,36.3 +Treatment,No bed net,23.9 +Control,No bed net,37.1 +Treatment,No bed net,25.5 +Treatment,No bed net,59.3 +Control,No bed net,30.1 +Control,No bed net,27 +Treatment,No bed net,29.7 +Treatment,Bed net,41.1 +Treatment,Bed net,45.2 +Treatment,Bed net,59.4 +Control,No bed net,34.1 +Control,No bed net,43.1 +Treatment,Bed net,77.3 +Treatment,No bed net,41.3 +Treatment,Bed net,35.4 +Control,No bed net,23.3 +Control,No bed net,49.3 +Treatment,Bed net,74.7 +Control,No bed net,41.8 +Treatment,No bed net,14.6 +Treatment,Bed net,56.8 +Control,Bed net,57.1 +Treatment,Bed net,49.5 +Control,Bed net,56.5 +Control,No bed net,29.5 +Control,No bed net,43.6 +Control,No bed net,44.3 +Treatment,Bed net,57.2 +Control,Bed net,41.3 +Control,No bed net,39.6 +Treatment,Bed net,67.1 +Treatment,Bed net,86.4 +Control,No bed net,39.5 +Treatment,No bed net,49.6 +Treatment,Bed net,76 +Control,Bed net,65.2 +Treatment,No bed net,46.8 +Treatment,Bed net,67.6 +Treatment,No bed net,32.6 +Control,No bed net,32.1 +Treatment,No bed net,34.7 +Treatment,Bed net,52.9 +Treatment,No bed net,32.5 +Control,Bed net,65.5 +Control,No bed net,31.5 +Control,No bed net,21.9 +Control,Bed net,58 +Control,Bed net,42.4 +Treatment,Bed net,55.4 +Treatment,No bed net,24.7 +Treatment,Bed net,59.2 +Treatment,No bed net,26.5 +Control,No bed net,39.7 +Control,No bed net,25.2 +Treatment,Bed net,43.2 +Treatment,Bed net,69.8 +Control,No bed net,17.5 +Control,No bed net,18.1 +Treatment,Bed net,74.5 +Control,No bed net,41 +Control,No bed net,42.4 +Control,Bed net,55.2 +Control,No bed net,21.6 +Treatment,No bed net,28 +Control,No bed net,54.7 +Treatment,No bed net,43.4 +Control,Bed net,53.8 +Treatment,Bed net,76 +Treatment,Bed net,55.6 +Control,No bed net,48.4 +Treatment,No bed net,35.9 +Treatment,No bed net,32.6 +Control,No bed net,33.4 +Control,No bed net,43.7 +Treatment,Bed net,52.3 +Treatment,Bed net,48.7 +Treatment,Bed net,49.7 +Treatment,Bed net,57.5 +Control,Bed net,53.4 +Control,No bed net,39.6 +Control,Bed net,63.7 +Treatment,No bed net,39.8 +Control,No bed net,21.3 +Treatment,No bed net,36.9 +Control,No bed net,36.1 +Treatment,No bed net,50.4 +Treatment,No bed net,46.6 +Treatment,Bed net,63.5 +Treatment,No bed net,51.6 +Treatment,No bed net,46.2 +Control,No bed net,29.5 +Treatment,No bed net,32.1 +Control,No bed net,42.8 +Control,Bed net,63.2 +Treatment,Bed net,59.8 +Treatment,Bed net,60.2 +Control,No bed net,46.2 +Control,No bed net,41.3 +Treatment,No bed net,18.1 +Control,No bed net,21.4 +Treatment,Bed net,67.4 +Control,No bed net,28.5 +Control,No bed net,26.7 +Treatment,Bed net,54.8 +Control,No bed net,53.6 +Treatment,No bed net,38.5 +Treatment,No bed net,30.7 +Control,Bed net,42.8 +Control,No bed net,40.9 +Control,No bed net,27 +Control,No bed net,39 +Control,No bed net,28.5 +Treatment,No bed net,40.5 +Control,No bed net,43.1 +Treatment,No bed net,33.2 +Treatment,Bed net,47 +Control,Bed net,56.7 +Treatment,Bed net,33 +Control,Bed net,56.9 +Treatment,Bed net,55.2 +Treatment,Bed net,60.6 +Control,No bed net,44.9 +Control,No bed net,30 +Control,No bed net,35 +Control,No bed net,25.8 +Control,No bed net,44.2 +Treatment,Bed net,46.5 +Treatment,Bed net,41.3 +Treatment,No bed net,34.8 +Control,Bed net,51.7 +Control,Bed net,58.2 +Treatment,No bed net,42.2 +Treatment,Bed net,59.7 +Treatment,Bed net,49.1 +Treatment,No bed net,28.8 +Treatment,Bed net,28.1 +Treatment,No bed net,36.6 +Control,No bed net,43.2 +Control,Bed net,64.7 +Control,No bed net,34.5 +Control,No bed net,34.5 +Control,No bed net,41.1 +Treatment,Bed net,54.6 +Control,No bed net,46 +Control,No bed net,37.3 +Control,No bed net,21.8 +Control,Bed net,67.8 +Treatment,Bed net,47 +Control,No bed net,30.2 +Control,No bed net,42.6 +Control,No bed net,33.9 +Treatment,Bed net,37.9 +Treatment,Bed net,71.6 +Treatment,No bed net,37.4 +Treatment,Bed net,67.4 +Control,No bed net,34.4 +Treatment,Bed net,57.5 +Control,Bed net,53.4 +Control,No bed net,68.1 +Treatment,Bed net,44.8 +Control,Bed net,60.7 +Treatment,No bed net,17 +Control,No bed net,25.4 +Control,Bed net,65.4 +Control,No bed net,16 +Treatment,No bed net,43.1 +Treatment,Bed net,32.7 +Control,No bed net,36.6 +Treatment,Bed net,60.6 +Control,No bed net,22.6 +Treatment,Bed net,54 +Treatment,No bed net,21.8 +Treatment,Bed net,65.9 +Control,No bed net,31.3 +Treatment,Bed net,63.1 +Treatment,No bed net,32.6 +Treatment,Bed net,60.9 +Control,No bed net,41.8 +Control,No bed net,25.1 +Control,No bed net,32.6 +Control,No bed net,49 +Control,No bed net,46.1 +Control,No bed net,35.6 +Treatment,No bed net,29.7 +Control,Bed net,56.5 +Treatment,Bed net,53.9 +Control,No bed net,32.5 +Treatment,Bed net,74.6 +Treatment,No bed net,46.4 +Control,No bed net,45.2 +Control,No bed net,29.1 +Control,No bed net,45.3 +Control,No bed net,25.3 +Treatment,Bed net,56.9 +Control,No bed net,36.2 +Control,Bed net,65 +Control,No bed net,44.4 +Treatment,Bed net,38.8 +Control,No bed net,33.8 +Treatment,Bed net,71.4 +Treatment,Bed net,52.9 +Treatment,No bed net,27.8 +Treatment,Bed net,53.1 +Control,No bed net,43.7 +Treatment,No bed net,46.5 +Control,No bed net,40.4 +Control,No bed net,32.4 +Treatment,Bed net,58 +Treatment,No bed net,32.2 +Control,Bed net,55.9 +Treatment,Bed net,51.6 +Control,No bed net,38.5 +Treatment,Bed net,51.2 +Treatment,Bed net,35.7 +Control,Bed net,57.3 +Treatment,No bed net,11.2 +Control,Bed net,48.2 +Control,No bed net,43 +Treatment,Bed net,24.6 +Treatment,Bed net,49 +Treatment,Bed net,54 +Control,No bed net,44.8 +Treatment,Bed net,64.2 +Control,No bed net,41.5 +Treatment,No bed net,14.5 +Treatment,Bed net,39.1 +Control,No bed net,52.2 +Treatment,Bed net,63.5 +Control,No bed net,49.1 +Control,No bed net,34.7 +Control,No bed net,43 +Control,No bed net,43.2 +Treatment,Bed net,65.4 +Treatment,Bed net,65.7 +Control,No bed net,31.8 +Treatment,Bed net,61.1 +Control,No bed net,56 +Control,No bed net,35.6 +Treatment,Bed net,70.1 +Treatment,No bed net,38.4 +Control,No bed net,9.2 +Control,Bed net,47.5 +Treatment,Bed net,58.9 +Treatment,No bed net,31.6 +Treatment,Bed net,79.8 +Control,No bed net,34.9 +Control,No bed net,29.2 +Control,No bed net,12.7 +Control,No bed net,47.6 +Control,No bed net,27.5 +Treatment,Bed net,56.5 +Control,No bed net,27.8 +Treatment,No bed net,36.2 +Treatment,No bed net,34.6 +Control,No bed net,36.8 +Treatment,Bed net,67.2 +Control,No bed net,36.6 +Treatment,Bed net,53.7 +Control,Bed net,66.6 +Control,No bed net,38.5 +Treatment,No bed net,52.2 +Treatment,No bed net,49.6 +Treatment,Bed net,44.8 +Control,No bed net,45.6 +Control,No bed net,46.7 +Treatment,Bed net,41.1 +Treatment,No bed net,22.3 +Treatment,No bed net,72.2 +Control,No bed net,39.7 +Treatment,No bed net,67.4 +Control,No bed net,26.4 +Control,No bed net,48.2 +Control,No bed net,41.1 +Control,Bed net,45.2 +Control,No bed net,39.5 +Control,No bed net,57.9 +Control,No bed net,69.6 +Treatment,Bed net,25.9 +Treatment,No bed net,36.4 +Treatment,No bed net,37.1 +Treatment,No bed net,13.7 +Treatment,No bed net,26.1 +Control,No bed net,17.1 +Control,No bed net,50.8 +Treatment,Bed net,39.8 +Control,No bed net,49.4 +Treatment,Bed net,43.7 +Treatment,No bed net,47.7 +Control,No bed net,41.7 +Control,Bed net,51 +Treatment,No bed net,22.5 +Control,Bed net,83 +Treatment,Bed net,56.6 +Control,No bed net,23 +Treatment,Bed net,25.5 +Treatment,No bed net,51.8 +Control,No bed net,49.4 +Treatment,Bed net,27.3 +Control,No bed net,19.2 +Treatment,Bed net,47.5 +Control,No bed net,53 +Treatment,Bed net,36.9 +Control,No bed net,39.5 +Treatment,No bed net,43.1 +Control,No bed net,39.5 +Treatment,No bed net,26.6 +Control,Bed net,56.1 +Control,No bed net,30.7 +Treatment,No bed net,47.8 +Control,No bed net,62.9 +Control,No bed net,46.7 +Treatment,No bed net,29.2 +Treatment,Bed net,47.6 +Treatment,No bed net,37.3 +Control,No bed net,43.5 +Control,Bed net,58.5 +Treatment,Bed net,93 +Control,No bed net,41 +Treatment,No bed net,24.9 +Control,Bed net,56 +Control,No bed net,42.1 +Treatment,Bed net,43.2 +Control,No bed net,38 +Control,No bed net,20.4 +Control,No bed net,56.3 +Control,No bed net,37.1 +Treatment,No bed net,31.3 +Treatment,No bed net,42.9 +Treatment,Bed net,31.4 +Treatment,No bed net,32.7 +Control,No bed net,27.9 +Treatment,No bed net,42.9 +Control,No bed net,23.3 +Control,No bed net,37.8 +Control,No bed net,33.9 +Control,No bed net,31.9 +Treatment,No bed net,44.1 +Control,Bed net,48.7 +Control,No bed net,34.4 +Control,No bed net,42.3 +Control,No bed net,46.9 +Treatment,Bed net,52.1 +Control,No bed net,44.7 +Control,No bed net,38.8 +Control,No bed net,29.8 +Treatment,Bed net,63.1 +Treatment,No bed net,37 +Treatment,No bed net,36.1 +Treatment,No bed net,19.1 +Control,No bed net,36 +Control,Bed net,60.6 +Control,Bed net,38.4 +Control,No bed net,45.3 +Treatment,No bed net,29.1 +Control,No bed net,28 +Control,No bed net,49.6 +Treatment,Bed net,48.4 +Control,No bed net,31.6 +Treatment,Bed net,25.2 +Control,Bed net,44 +Treatment,Bed net,63.4 +Treatment,No bed net,46.5 +Treatment,Bed net,56.1 +Control,No bed net,35.3 +Treatment,Bed net,47.9 +Control,No bed net,49.1 +Control,No bed net,36 +Control,No bed net,36.9 +Treatment,No bed net,28.1 +Control,No bed net,37.9 +Treatment,Bed net,26.9 +Treatment,No bed net,20.9 +Treatment,No bed net,29.4 +Control,No bed net,30.1 +Control,No bed net,45.4 +Control,No bed net,43.5 +Control,No bed net,35.6 +Treatment,No bed net,36.3 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+Treatment,Bed net,54.3 +Treatment,No bed net,31.6 +Control,No bed net,31.7 +Treatment,Bed net,39 +Control,No bed net,18.2 +Treatment,Bed net,35.7 +Control,No bed net,31 +Treatment,Bed net,63.8 +Treatment,No bed net,60.8 +Control,No bed net,45.8 +Treatment,Bed net,60.8 +Treatment,No bed net,49.4 +Control,No bed net,26 +Control,Bed net,48.7 +Control,No bed net,26.8 +Control,No bed net,35.4 +Control,Bed net,43.7 +Control,Bed net,72.3 +Treatment,Bed net,44.4 +Treatment,Bed net,66.9 +Control,Bed net,56.2 +Control,No bed net,18.2 +Treatment,Bed net,49.3 +Control,No bed net,42.5 +Treatment,Bed net,63.3 +Control,No bed net,41.7 +Control,No bed net,42.8 +Control,No bed net,53.2 +Control,No bed net,38.5 +Treatment,Bed net,56.3 +Treatment,Bed net,56.9 +Treatment,Bed net,38.4 +Treatment,Bed net,55.4 +Treatment,Bed net,44.3 +Treatment,Bed net,27.3 +Control,Bed net,52.5 +Control,Bed net,66.5 +Treatment,Bed net,49 +Control,No bed net,31.3 +Treatment,No bed net,41.3 +Control,No bed net,45.3 +Control,No bed net,40.1 +Treatment,No bed net,42.1 +Control,No bed net,26.2 +Treatment,No bed net,25.7 +Treatment,Bed net,34 +Control,No bed net,17 +Treatment,No bed net,24.9 +Treatment,No bed net,16.6 +Treatment,Bed net,45.7 +Treatment,Bed net,57.7 +Treatment,Bed net,58 +Treatment,Bed net,48 +Control,No bed net,50.1 +Treatment,Bed net,80 +Control,No bed net,28.2 +Control,No bed net,39.6 +Control,No bed net,55 +Treatment,Bed net,60.6 +Control,No bed net,42.3 +Treatment,No bed net,41.2 +Control,No bed net,44.7 +Control,Bed net,61 +Control,No bed net,34.8 +Treatment,No bed net,34.6 +Treatment,Bed net,67.9 +Control,No bed net,47 +Treatment,Bed net,65.9 +Treatment,Bed net,68.7 +Control,Bed net,37.4 +Control,No bed net,45.8 +Control,No bed net,57.3 +Control,No bed net,32.9 +Control,No bed net,53.8 +Control,Bed net,54.4 +Control,No bed net,40.6 +Treatment,No bed net,42.8 +Treatment,No bed net,30.8 +Treatment,Bed net,50.1 +Treatment,Bed net,42.1 +Control,No bed net,36.8 +Control,No bed net,41.7 +Control,No bed net,46.1 +Treatment,No bed net,34.4 +Control,No bed net,37.5 +Control,No bed net,35.6 +Control,No bed net,25.6 +Control,No bed net,26.5 +Treatment,Bed net,63.5 +Control,No bed net,55.7 +Treatment,No bed net,36.8 +Treatment,No bed net,62.8 +Treatment,No bed net,24.8 +Control,Bed net,64.1 +Treatment,Bed net,43.9 +Control,No bed net,33.2 +Control,No bed net,46.1 +Control,Bed net,78.7 +Treatment,Bed net,64.8 +Treatment,Bed net,64.4 +Control,No bed net,35.7 +Control,No bed net,26.5 +Control,Bed net,61.3 +Treatment,No bed net,48.8 +Treatment,No bed net,47.6 +Treatment,No bed net,48.5 +Control,No bed net,33.5 +Control,No bed net,45.3 +Treatment,Bed net,55.8 +Control,No bed net,54.2 +Treatment,Bed net,89.1 +Treatment,Bed net,62 +Treatment,Bed net,28.7 +Control,No bed net,37.8 +Control,No bed net,32.8 +Treatment,No bed net,44.8 +Treatment,Bed net,62.9 +Control,No bed net,39.9 +Treatment,Bed net,58.6 +Control,No bed net,36.7 +Treatment,No bed net,22.5 +Treatment,Bed net,72.8 +Treatment,No bed net,40.9 +Control,No bed net,49.5 +Control,No bed net,29.6 +Control,No bed net,33.5 +Control,No bed net,28 +Treatment,No bed net,43 +Control,Bed net,67.6 +Control,No bed net,39.5 +Treatment,Bed net,64.5 +Control,No bed net,33.6 +Control,Bed net,57.9 +Treatment,Bed net,39.5 +Control,No bed net,46.8 +Control,No bed net,57.5 +Control,No bed net,28.7 +Control,No bed net,49.4 +Control,Bed net,53.2 +Treatment,Bed net,49.5 +Treatment,Bed net,59.7 +Treatment,Bed net,63.6 +Treatment,No bed net,43.5 +Control,Bed net,71.3 +Treatment,No bed net,23 +Control,No bed net,43 +Treatment,Bed net,43.5 +Control,No bed net,22 +Treatment,Bed net,45.4 +Control,Bed net,46.3 +Control,No bed net,37.7 +Treatment,No bed net,30.3 +Treatment,No bed net,46.4 +Control,No bed net,53.1 +Control,No bed net,33.5 +Control,Bed net,47.4 +Treatment,Bed net,64.7 +Control,No bed net,40.1 +Control,No bed net,36.1 +Treatment,Bed net,53.6 +Control,Bed net,55.4 +Control,No bed net,50.4 +Control,Bed net,60.3 +Control,No bed net,36.8 +Control,No bed net,37.5 +Treatment,No bed net,43.4 +Control,No bed net,26 +Control,No bed net,29.3 +Treatment,No bed net,48.6 +Treatment,Bed net,50.6 +Control,No bed net,34.2 +Treatment,No bed net,48.3 +Treatment,Bed net,53.7 +Treatment,Bed net,45.1 +Treatment,No bed net,34.9 +Treatment,No bed net,20.7 +Control,No bed net,31.3 +Control,Bed net,53.5 +Control,No bed net,37.1 +Treatment,Bed net,65 +Treatment,Bed net,57 +Control,No bed net,45.5 +Treatment,Bed net,58.8 +Control,No bed net,39.6 +Control,No bed net,33.6 +Control,No bed net,35 +Control,No bed net,28.9 +Treatment,No bed net,26.5 +Treatment,Bed net,57.7 +Control,No bed net,23.7 +Treatment,No bed net,41.3 +Treatment,Bed net,54.8 +Control,No bed net,39.8 +Treatment,Bed net,46.9 +Control,Bed net,47.8 +Treatment,Bed net,64.4 +Control,No bed net,23.7 +Treatment,No bed net,27.3 +Control,No bed net,41.1 +Control,No bed net,26.8 +Treatment,Bed net,51.8 +Treatment,Bed net,28.7 +Control,No bed net,45.7 +Control,No bed net,43.9 +Treatment,No bed net,53 +Control,No bed net,28 +Control,No bed net,38.8 +Control,No bed net,43.7 +Control,No bed net,21.7 +Control,No bed net,29.2 +Control,No bed net,45.4 +Control,No bed net,46.1 +Control,No bed net,41.7 +Control,No bed net,40.6 +Control,No bed net,51.9 +Control,No bed net,32.3 +Control,No bed net,37.3 +Treatment,Bed net,53.2 +Treatment,Bed net,65.6 +Control,Bed net,42.5 +Treatment,Bed net,57.5 +Control,Bed net,49 +Control,No bed net,29.6 +Control,No bed net,34.9 +Control,No bed net,49 +Control,No bed net,28.8 +Control,No bed net,20.7 +Treatment,No bed net,48.4 +Treatment,Bed net,66 +Control,Bed net,62.9 +Treatment,Bed net,53.9 +Treatment,No bed net,48.4 +Control,No bed net,30.2 +Control,No bed net,36.6 +Treatment,No bed net,36.6 +Treatment,Bed net,61.6 +Control,No bed net,45.2 +Treatment,Bed net,44.1 +Treatment,Bed net,51.2 +Control,No bed net,32.2 +Control,No bed net,56.6 +Control,Bed net,50.4 +Treatment,Bed net,69 +Treatment,No bed net,25.8 +Treatment,No bed net,34.1 +Control,No bed net,41.6 +Control,Bed net,54.9 +Control,No bed net,47.7 +Treatment,No bed net,6.2 +Treatment,Bed net,40.4 +Control,No bed net,43.7 +Treatment,Bed net,54.8 +Treatment,Bed net,65 +Control,No bed net,28 +Treatment,No bed net,38.7 +Treatment,Bed net,54.6 +Treatment,Bed net,57.9 +Treatment,Bed net,41.5 +Control,No bed net,29.7 +Control,No bed net,36.6 +Treatment,Bed net,56.8 +Control,Bed net,59.6 +Control,No bed net,36.2 +Control,No bed net,39.3 +Control,Bed net,46 +Treatment,No bed net,18.8 +Control,No bed net,34.6 +Treatment,Bed net,46.1 +Control,No bed net,29 +Treatment,No bed net,44.9 +Treatment,Bed net,44.7 +Control,No bed net,43.2 +Treatment,No bed net,58.4 +Treatment,Bed net,70 +Treatment,Bed net,81.7 +Control,No bed net,58.3 +Control,No bed net,18 +Treatment,Bed net,61.1 +Control,No bed net,37 +Control,No bed net,46.1 +Control,No bed net,19 +Treatment,No bed net,40.3 +Treatment,Bed net,55.7 +Treatment,Bed net,45.8 +Treatment,Bed net,49.2 +Treatment,Bed net,60 +Treatment,No bed net,47.8 +Treatment,Bed net,59.1 +Control,No bed net,41.6 +Control,No bed net,43.9 +Treatment,Bed net,48.5 +Control,No bed net,39.3 +Treatment,No bed net,37.6 +Control,No bed net,33.6 +Treatment,No bed net,37.3 +Treatment,Bed net,53.3 +Treatment,No bed net,26.9 +Treatment,Bed net,72.6 +Treatment,No bed net,42.6 +Treatment,No bed net,60.6 +Control,No bed net,49 +Treatment,Bed net,72 +Control,No bed net,52 +Treatment,Bed net,64.3 +Treatment,No bed net,57.4 +Treatment,Bed net,26.5 +Treatment,No bed net,19.9 +Treatment,Bed net,74.2 +Control,No bed net,43.3 +Control,No bed net,33.4 +Treatment,Bed net,45.9 +Treatment,No bed net,36.9 +Treatment,Bed net,64.8 +Control,No bed net,27.9 +Treatment,No bed net,44.6 +Treatment,Bed net,36.7 +Control,No bed net,35 +Control,Bed net,61.2 +Treatment,No bed net,15.9 +Treatment,No bed net,49 +Control,No bed net,58.2 +Treatment,No bed net,25.1 +Control,No bed net,40.2 +Control,No bed net,33.8 +Control,No bed net,23.7 +Treatment,Bed net,56.3 +Control,No bed net,27.8 +Treatment,Bed net,41.6 +Treatment,Bed net,50.6 +Control,No bed net,45.5 +Treatment,No bed net,44.1 +Treatment,No bed net,31.4 +Control,No bed net,35.8 +Treatment,No bed net,33.8 +Treatment,No bed net,29.9 +Treatment,Bed net,60.2 +Treatment,Bed net,42.6 +Control,No bed net,33.6 +Control,Bed net,54.9 +Control,No bed net,35.2 +Control,No bed net,27 +Treatment,No bed net,25.1 +Control,Bed net,71.7 +Control,No bed net,39.1 +Control,No bed net,37.9 +Treatment,Bed net,50 +Control,No bed net,45.3 +Treatment,Bed net,51.5 +Treatment,No bed net,28.6 +Control,Bed net,52.6 +Control,No bed net,41.5 +Treatment,No bed net,51.4 +Control,No bed net,54.8 +Control,No bed net,40.7 +Treatment,Bed net,58.8 +Control,No bed net,43.3 +Control,Bed net,36.9 +Control,No bed net,22.9 +Treatment,Bed net,27.8 +Control,No bed net,27.9 +Treatment,Bed net,68.7 +Control,No bed net,28 +Control,No bed net,60.4 +Treatment,Bed net,46.2 +Treatment,No bed net,31 +Treatment,Bed net,27.2 +Treatment,Bed net,53 +Control,No bed net,51.2 +Control,No bed net,71.1 +Control,No bed net,22 +Treatment,No bed net,48.3 +Control,No bed net,34.9 +Control,No bed net,65.9 +Treatment,Bed net,55.5 +Control,No bed net,31.4 +Control,No bed net,38.6 +Control,No bed net,29.4 +Control,No bed net,35.7 +Control,No bed net,39.2 +Control,No bed net,31.9 +Control,Bed net,50.7 +Treatment,No bed net,45.3 +Treatment,Bed net,67 +Control,No bed net,14.9 +Treatment,No bed net,37.6 +Treatment,Bed net,44 +Control,No bed net,39.9 +Treatment,Bed net,66.5 +Control,Bed net,30.9 +Control,No bed net,39.7 +Control,No bed net,19.4 +Treatment,Bed net,70.4 +Control,Bed net,53.2 +Control,No bed net,35.7 +Treatment,Bed net,65.6 +Treatment,No bed net,26.4 +Treatment,Bed net,34.1 +Treatment,No bed net,51.3 +Treatment,No bed net,20.5 +Control,Bed net,55 +Treatment,No bed net,32.5 +Control,No bed net,42.2 +Control,Bed net,37.5 +Treatment,Bed net,27.5 +Control,Bed net,75.3 +Control,Bed net,65.2 +Control,No bed net,51.7 +Control,Bed net,72.2 +Treatment,Bed net,92.3 +Treatment,Bed net,42.3 +Treatment,No bed net,61.2 +Control,No bed net,46.4 +Treatment,Bed net,53.8 +Treatment,No bed net,53.7 +Treatment,Bed net,43.9 +Treatment,Bed net,46.8 +Control,Bed net,50.4 +Treatment,Bed net,57 +Control,No bed net,38.9 +Treatment,Bed net,41 +Treatment,Bed net,51.7 +Control,No bed net,34.3 +Control,No bed net,43.4 +Treatment,Bed net,36.9 +Treatment,No bed net,35.7 +Treatment,Bed net,72.4 +Control,No bed net,14.2 +Treatment,Bed net,70.3 +Treatment,Bed net,58.4 +Treatment,Bed net,57.7 +Control,No bed net,28.2 +Treatment,Bed net,38.4 +Control,No bed net,41 +Treatment,No bed net,10.8 +Treatment,No bed net,37.3 +Control,No bed net,25.8 +Control,No bed net,35.4 +Control,No bed net,52.5 +Control,No bed net,46.7 +Control,No bed net,55 +Control,No bed net,50.3 +Control,No bed net,42.3 +Treatment,No bed net,47.9 +Treatment,Bed net,44.1 +Control,No bed net,33.9 +Control,No bed net,61.8 +Control,No bed net,38.7 +Treatment,No bed net,24.5 +Control,No bed net,59.3 +Control,No bed net,28.3 +Control,No bed net,27.1 +Control,No bed net,32.9 +Control,No bed net,22.5 +Control,Bed net,63.8 +Treatment,No bed net,29.5 +Treatment,No bed net,44.1 +Treatment,No bed net,35.3 +Treatment,Bed net,57.5 +Treatment,Bed net,73.2 +Treatment,Bed net,17.2 +Control,No bed net,32.8 +Treatment,No bed net,36 +Control,No bed net,32 +Treatment,Bed net,52.1 +Control,No bed net,49.9 +Treatment,No bed net,55.6 +Control,No bed net,51 +Control,No bed net,50 +Treatment,Bed net,41.1 +Control,No bed net,39.3 +Control,No bed net,19.7 +Control,No bed net,41.9 +Control,No bed net,40.1 +Control,No bed net,27.8 +Control,No bed net,34.3 +Treatment,Bed net,57.7 +Control,No bed net,35.3 +Control,No bed net,32.6 +Treatment,No bed net,35.4 +Control,No bed net,37 +Control,No bed net,44.4 +Control,No bed net,26.9 +Treatment,No bed net,27.4 +Treatment,No bed net,32.9 +Control,No bed net,49.5 +Treatment,Bed net,72.7 +Control,No bed net,37.5 +Control,No bed net,52.8 +Control,No bed net,39.9 +Treatment,Bed net,44 +Control,Bed net,36.6 +Control,No bed net,29.5 +Treatment,Bed net,45.3 +Control,No bed net,41.7 +Control,No bed net,39.9 +Control,Bed net,55.4 +Control,No bed net,30.2 +Control,No bed net,41.1 +Control,No bed net,33.1 +Treatment,No bed net,14.7 +Treatment,No bed net,24.6 +Treatment,Bed net,57.3 +Control,Bed net,60.1 +Control,No bed net,38.2 +Control,No bed net,31 +Control,No bed net,49.1 +Treatment,Bed net,61.2 +Treatment,Bed net,42.1 +Control,No bed net,39.5 +Treatment,Bed net,54.8 +Treatment,Bed net,47.8 +Treatment,Bed net,60.6 +Treatment,Bed net,83.4 +Treatment,Bed net,48.9 +Control,No bed net,29.4 +Treatment,No bed net,41 +Treatment,Bed net,44.2 +Treatment,No bed net,34.1 +Control,No bed net,54 +Treatment,No bed net,63.6 +Treatment,No bed net,37.5 +Treatment,No bed net,37.6 +Control,No bed net,42.2 +Treatment,Bed net,71.8 +Control,No bed net,30.8 +Treatment,Bed net,63 +Control,No bed net,36.5 +Control,Bed net,67.4 +Treatment,No bed net,57 +Treatment,No bed net,41 +Control,No bed net,43.3 +Treatment,Bed net,37.5 +Treatment,Bed net,59.6 +Control,Bed net,48.9 +Control,No bed net,41.8 +Treatment,Bed net,58.5 +Treatment,Bed net,53.8 +Control,No bed net,36 +Treatment,Bed net,59.1 +Treatment,Bed net,49.5 +Control,No bed net,37.5 +Control,No bed net,34.5 +Treatment,Bed net,62.8 +Treatment,Bed net,64.8 +Treatment,No bed net,31.9 +Control,No bed net,43.1 +Treatment,Bed net,51.6 +Treatment,Bed net,45.3 +Treatment,No bed net,39.3 +Control,No bed net,57.4 +Control,No bed net,43.9 +Treatment,Bed net,36.6 +Treatment,Bed net,73.2 +Control,Bed net,65.4 +Treatment,No bed net,46.7 +Treatment,Bed net,70.7 +Control,No bed net,35.7 +Treatment,No bed net,31.6 +Treatment,Bed net,52.8 +Treatment,No bed net,49.6 +Treatment,No bed net,35.2 +Treatment,No bed net,37.8 +Control,No bed net,54.9 +Control,No bed net,32.3 +Treatment,No bed net,47.3 +Control,No bed net,14.1 +Control,Bed net,52.7 +Control,Bed net,59.1 +Treatment,Bed net,47 +Treatment,Bed net,47.9 +Treatment,Bed net,79.2 +Treatment,Bed net,87.3 +Treatment,No bed net,40.5 +Control,No bed net,36.6 +Control,Bed net,61.8 +Control,No bed net,31 +Treatment,Bed net,53.9 +Treatment,Bed net,42.6 +Treatment,Bed net,73.4 +Treatment,No bed net,44.1 +Treatment,No bed net,31.6 +Control,No bed net,39.9 +Treatment,Bed net,55.5 +Treatment,No bed net,36.5 +Control,No bed net,19.6 +Treatment,No bed net,57.1 +Treatment,No bed net,62.8 +Treatment,No bed net,28.8 +Treatment,No bed net,46.2 +Control,Bed net,38.4 +Treatment,Bed net,47.4 +Control,No bed net,51.6 +Treatment,Bed net,100 +Control,No bed net,49.3 +Control,No bed net,62 +Control,No bed net,43.9 +Control,No bed net,45.2 +Control,No bed net,45.2 +Treatment,No bed net,41.4 +Treatment,No bed net,24 +Control,No bed net,52.3 +Control,No bed net,46.8 +Treatment,No bed net,39.8 +Treatment,Bed net,46.7 +Control,No bed net,31.4 +Treatment,No bed net,29.1 +Treatment,Bed net,60.2 +Control,No bed net,39.4 +Control,No bed net,31.3 +Treatment,Bed net,71.3 +Control,No bed net,52.8 +Treatment,Bed net,48.4 +Control,No bed net,40.4 +Treatment,No bed net,24.7 +Control,No bed net,48 +Treatment,No bed net,41.5 +Control,Bed net,38.3 +Control,No bed net,44.7 +Control,Bed net,48.1 +Treatment,Bed net,45.8 +Control,Bed net,43.9 +Control,No bed net,40.6 +Treatment,Bed net,53.3 +Control,No bed net,45.9 +Control,No bed net,44.6 +Control,No bed net,25.5 +Treatment,Bed net,38.2 +Treatment,Bed net,56.6 +Treatment,No bed net,51.4 +Treatment,No bed net,39 +Control,No bed net,30.4 +Treatment,Bed net,47 +Treatment,Bed net,40.6 +Control,Bed net,48.5 +Treatment,Bed net,57.5 +Control,No bed net,41.9 +Control,No bed net,34.6 +Control,Bed net,33.2 +Control,No bed net,43.5 +Control,No bed net,33.4 +Control,No bed net,41.9 +Control,No bed net,41.7 +Treatment,No bed net,27.6 +Treatment,No bed net,37 +Treatment,No bed net,33.7 +Treatment,No bed net,50.3 +Control,No bed net,34.9 +Control,No bed net,39.4 +Treatment,No bed net,41.3 +Control,No bed net,33.9 +Treatment,Bed net,44.7 +Control,No bed net,7.7 +Treatment,Bed net,60.8 +Control,No bed net,35 +Treatment,Bed net,52 +Treatment,Bed net,51.1 +Treatment,Bed net,52.5 +Control,No bed net,22.6 +Control,No bed net,37.2 +Control,No bed net,34.8 +Treatment,Bed net,45.2 +Treatment,No bed net,40.9 +Treatment,Bed net,52.8 +Treatment,Bed net,55.9 +Treatment,Bed net,52.6 +Control,No bed net,46 +Control,Bed net,71.5 +Control,No bed net,30.7 +Control,No bed net,56.6 +Treatment,No bed net,41 +Control,No bed net,38.1 +Control,No bed net,29.5 +Control,No bed net,43.4 +Treatment,Bed net,59 +Treatment,No bed net,15.3 +Treatment,Bed net,53.8 +Control,No bed net,43.1 +Treatment,Bed net,72.6 +Control,Bed net,53.6 +Control,No bed net,44.1 +Treatment,No bed net,39.3 +Control,No bed net,39.4 +Treatment,No bed net,35.2 +Treatment,Bed net,31.5 +Treatment,No bed net,39.2 +Treatment,Bed net,55.7 +Control,Bed net,43.5 +Control,No bed net,49.9 +Treatment,No bed net,46.8 +Control,No bed net,50.6 +Treatment,Bed net,44.8 +Treatment,Bed net,80.7 +Treatment,Bed net,47 +Control,No bed net,41.7 +Control,No bed net,37.6 +Treatment,No bed net,25.1 +Treatment,No bed net,23.2 +Control,No bed net,52.2 +Treatment,No bed net,33.7 +Control,No bed net,37.9 +Control,No bed net,30.2 +Treatment,Bed net,72.9 +Treatment,No bed net,35.3 +Treatment,Bed net,63.4 +Control,No bed net,29.8 +Control,No bed net,41.2 +Treatment,Bed net,39.2 +Control,Bed net,59.9 +Control,No bed net,12.6 +Control,No bed net,21.2 +Treatment,Bed net,51.7 +Treatment,No bed net,32.9 +Control,No bed net,42.6 +Treatment,No bed net,15.5 +Treatment,Bed net,51.6 +Control,No bed net,30.6 +Control,No bed net,41.4 +Treatment,Bed net,26.2 +Control,No bed net,27.5 +Control,Bed net,44.6 +Treatment,Bed net,40.5 +Treatment,Bed net,58.8 +Control,Bed net,57.4 +Treatment,Bed net,67.5 +Treatment,No bed net,37.8 +Control,No bed net,42.8 +Treatment,Bed net,50 +Control,No bed net,36.2 +Control,Bed net,36.7 +Control,No bed net,28.8 +Control,Bed net,65.8 +Control,No bed net,23.6 +Control,Bed net,62.8 +Treatment,Bed net,70.7 +Treatment,Bed net,47 +Treatment,Bed net,49.3 +Treatment,Bed net,77.7 +Treatment,Bed net,58.9 +Treatment,No bed net,37.9 +Treatment,No bed net,15.6 +Control,No bed net,23.3 +Control,Bed net,75.3 +Control,No bed net,43.7 +Treatment,Bed net,61.1 +Treatment,Bed net,63.7 +Treatment,No bed net,35.2 +Treatment,No bed net,37.6 +Treatment,Bed net,52 +Control,No bed net,30.5 +Treatment,Bed net,60.1 +Control,No bed net,53.4 +Treatment,Bed net,53.5 +Control,No bed net,44.2 +Control,No bed net,42.8 +Treatment,Bed net,55.3 +Control,No bed net,31.6 +Control,No bed net,41.5 diff --git a/docs/files/data/generated_data/bed_nets_time_machine.csv b/docs/files/data/generated_data/bed_nets_time_machine.csv new file mode 100644 index 00000000..98274a14 --- /dev/null +++ b/docs/files/data/generated_data/bed_nets_time_machine.csv @@ -0,0 +1,2001 @@ +status,treatment,bed_net_0,bed_net_1,health_0,health_1,bed_net,health +Never taker,Control,0,0,24.6,14.4,No bed net,24.6 +Complier,Control,0,1,36.4,39.6,No bed net,36.4 +Complier,Treatment,0,1,29.7,49.1,Bed net,49.1 +Complier,Treatment,0,1,38.1,47,Bed net,47 +Always taker,Control,1,1,39.4,58.6,Bed net,58.6 +Complier,Treatment,0,1,39.3,63.9,Bed net,63.9 +Never taker,Treatment,0,0,34.5,10.8,No bed net,34.5 +Never taker,Control,0,0,19.4,34.4,No bed net,19.4 +Complier,Treatment,0,1,53.3,36.6,Bed net,36.6 +Complier,Control,0,1,37.4,48.2,No bed net,37.4 +Complier,Control,0,1,48.1,64.2,No bed net,48.1 +Complier,Treatment,0,1,37,50.7,Bed net,50.7 +Never taker,Treatment,0,0,44.2,47.5,No bed net,44.2 +Always taker,Control,1,1,61.3,57,Bed net,57 +Never taker,Control,0,0,10.4,30.5,No bed net,10.4 +Always taker,Control,1,1,66,49.4,Bed net,49.4 +Never taker,Control,0,0,22.7,49.3,No bed net,22.7 +Never taker,Treatment,0,0,24.2,40,No bed net,24.2 +Never taker,Treatment,0,0,22.7,45.1,No bed net,22.7 +Never taker,Control,0,0,28.9,43.2,No bed net,28.9 +Never taker,Treatment,0,0,28.3,29.8,No bed net,28.3 +Never taker,Treatment,0,0,28,47.9,No bed net,28 +Never taker,Treatment,0,0,24.4,48.8,No bed net,24.4 +Never taker,Control,0,0,53.2,40.9,No bed net,53.2 +Never taker,Control,0,0,47.4,49.2,No bed net,47.4 +Always taker,Treatment,1,1,58.8,50.7,Bed net,50.7 +Complier,Control,0,1,41.7,36,No bed net,41.7 +Always taker,Control,1,1,57.9,66.1,Bed net,66.1 +Always taker,Treatment,1,1,65.5,59.2,Bed net,59.2 +Never taker,Control,0,0,35.6,35.9,No bed net,35.6 +Complier,Treatment,0,1,41.5,59.3,Bed net,59.3 +Never taker,Treatment,0,0,52.6,24.6,No bed net,52.6 +Never taker,Control,0,0,23.8,37.6,No bed net,23.8 +Complier,Control,0,1,33.4,27.1,No bed net,33.4 +Never taker,Control,0,0,44.6,19.3,No bed net,44.6 +Complier,Control,0,1,48.5,59.7,No bed net,48.5 +Never taker,Control,0,0,65.6,45.1,No bed net,65.6 +Never taker,Control,0,0,34,18.7,No bed net,34 +Always taker,Control,1,1,63.7,58.6,Bed net,58.6 +Always taker,Treatment,1,1,41.7,51.5,Bed net,51.5 +Complier,Treatment,0,1,45.1,28.4,Bed net,28.4 +Complier,Treatment,0,1,38.6,64.5,Bed net,64.5 +Never taker,Control,0,0,31.2,11,No bed net,31.2 +Complier,Treatment,0,1,33.2,56.1,Bed net,56.1 +Never taker,Control,0,0,52.5,9.9,No bed net,52.5 +Complier,Treatment,0,1,45.5,48.8,Bed net,48.8 +Complier,Control,0,1,30.9,48.7,No bed net,30.9 +Complier,Control,0,1,46.8,41.8,No bed net,46.8 +Never taker,Control,0,0,35.8,44.2,No bed net,35.8 +Complier,Treatment,0,1,27.6,73.6,Bed net,73.6 +Never taker,Control,0,0,49.3,39.8,No bed net,49.3 +Never taker,Treatment,0,0,38.7,62.9,No bed net,38.7 +Complier,Treatment,0,1,34.1,51.2,Bed net,51.2 +Complier,Control,0,1,29.5,48.6,No bed net,29.5 +Never taker,Treatment,0,0,28.1,42.7,No bed net,28.1 +Complier,Treatment,0,1,45.4,47.5,Bed net,47.5 +Complier,Control,0,1,37.3,48.4,No bed net,37.3 +Complier,Treatment,0,1,30.9,80.5,Bed net,80.5 +Never taker,Control,0,0,38.5,43.9,No bed net,38.5 +Always taker,Treatment,1,1,47.6,48.2,Bed net,48.2 +Always taker,Treatment,1,1,53.6,46.4,Bed net,46.4 +Never taker,Treatment,0,0,36.1,36.5,No bed net,36.1 +Never taker,Control,0,0,41.2,30.8,No bed net,41.2 +Never taker,Control,0,0,39.9,20.3,No bed net,39.9 +Never taker,Control,0,0,35.6,26.2,No bed net,35.6 +Complier,Treatment,0,1,36.7,40.6,Bed net,40.6 +Never taker,Control,0,0,36.1,33.4,No bed net,36.1 +Complier,Control,0,1,25.7,29,No bed net,25.7 +Never taker,Control,0,0,28,43.5,No bed net,28 +Complier,Control,0,1,40.2,76.4,No bed net,40.2 +Never taker,Control,0,0,48.6,37.1,No bed net,48.6 +Always taker,Control,1,1,61.7,48.1,Bed net,48.1 +Never taker,Treatment,0,0,29.8,42.7,No bed net,29.8 +Complier,Control,0,1,31.5,71,No bed net,31.5 +Never taker,Control,0,0,34.8,35.3,No bed net,34.8 +Complier,Treatment,0,1,39.6,40.1,Bed net,40.1 +Never taker,Control,0,0,51.3,24.9,No bed net,51.3 +Never taker,Treatment,0,0,19.9,9.6,No bed net,19.9 +Never taker,Treatment,0,0,31.9,21.8,No bed net,31.9 +Complier,Control,0,1,25.2,74.5,No bed net,25.2 +Always taker,Treatment,1,1,46.4,60.1,Bed net,60.1 +Complier,Control,0,1,30.2,46.2,No bed net,30.2 +Never taker,Control,0,0,43.8,46.9,No bed net,43.8 +Complier,Control,0,1,56.7,65.5,No bed net,56.7 +Never taker,Control,0,0,26.1,16.6,No bed net,26.1 +Always taker,Control,1,1,71.6,71.7,Bed net,71.7 +Never taker,Treatment,0,0,42.8,51.3,No bed net,42.8 +Never taker,Control,0,0,43.2,18.7,No bed net,43.2 +Never taker,Treatment,0,0,55,29.3,No bed net,55 +Always taker,Control,1,1,54.3,43.2,Bed net,43.2 +Never taker,Treatment,0,0,56.6,34,No bed net,56.6 +Always taker,Treatment,1,1,79.9,36.3,Bed net,36.3 +Never taker,Treatment,0,0,47,42.2,No bed net,47 +Never taker,Control,0,0,41.6,17.1,No bed net,41.6 +Never taker,Control,0,0,35,31.9,No bed net,35 +Complier,Control,0,1,36.9,60.5,No bed net,36.9 +Never taker,Control,0,0,33.1,8.8,No bed net,33.1 +Never taker,Treatment,0,0,24.2,65.1,No bed net,24.2 +Never taker,Control,0,0,39.1,29.3,No bed net,39.1 +Complier,Control,0,1,53.8,27.4,No bed net,53.8 +Never taker,Control,0,0,60.1,54.3,No bed net,60.1 +Complier,Treatment,0,1,44.7,82.8,Bed net,82.8 +Never taker,Treatment,0,0,35.4,41.9,No bed net,35.4 +Never taker,Treatment,0,0,24.8,45.9,No bed net,24.8 +Never taker,Treatment,0,0,27.5,41.4,No bed net,27.5 +Never taker,Treatment,0,0,26.8,40.1,No bed net,26.8 +Never taker,Treatment,0,0,32.6,43.2,No bed net,32.6 +Never taker,Treatment,0,0,61.9,41.1,No bed net,61.9 +Complier,Treatment,0,1,34.8,61.2,Bed net,61.2 +Never taker,Treatment,0,0,45.6,27.2,No bed net,45.6 +Complier,Treatment,0,1,39.1,66.9,Bed net,66.9 +Never taker,Treatment,0,0,58.4,30,No bed net,58.4 +Always taker,Control,1,1,63,41.1,Bed net,41.1 +Never taker,Control,0,0,26,15,No bed net,26 +Never taker,Control,0,0,38.5,16.3,No bed net,38.5 +Always taker,Treatment,1,1,63.7,69.9,Bed net,69.9 +Always taker,Treatment,1,1,54.2,66.5,Bed net,66.5 +Never taker,Control,0,0,46.4,17.5,No bed net,46.4 +Never taker,Control,0,0,26,47.5,No bed net,26 +Complier,Control,0,1,36.2,74.4,No bed net,36.2 +Complier,Treatment,0,1,41.6,36.8,Bed net,36.8 +Always taker,Control,1,1,75.1,53.6,Bed net,53.6 +Always taker,Control,1,1,70.7,53.2,Bed net,53.2 +Always taker,Treatment,1,1,40,68.5,Bed net,68.5 +Complier,Control,0,1,35.2,81.7,No bed net,35.2 +Never taker,Treatment,0,0,25.6,37.8,No bed net,25.6 +Never taker,Control,0,0,25.7,49.4,No bed net,25.7 +Complier,Treatment,0,1,38.6,69.6,Bed net,69.6 +Complier,Treatment,0,1,54.5,51.8,Bed net,51.8 +Never taker,Control,0,0,38.4,37.9,No bed net,38.4 +Always taker,Control,1,1,72.4,50.6,Bed net,50.6 +Complier,Control,0,1,39.5,49.9,No bed net,39.5 +Never taker,Control,0,0,34,28.9,No bed net,34 +Complier,Treatment,0,1,30.7,53.8,Bed net,53.8 +Always taker,Treatment,1,1,50.9,45.8,Bed net,45.8 +Complier,Treatment,0,1,49.8,59.4,Bed net,59.4 +Always taker,Control,1,1,53.8,55.3,Bed net,55.3 +Complier,Treatment,0,1,39,64.5,Bed net,64.5 +Complier,Treatment,0,1,33,42.9,Bed net,42.9 +Always taker,Treatment,1,1,62.8,54.5,Bed net,54.5 +Complier,Control,0,1,39,31.5,No bed net,39 +Always taker,Treatment,1,1,70.5,46.3,Bed net,46.3 +Never taker,Control,0,0,44.7,41.7,No bed net,44.7 +Complier,Control,0,1,43.9,72.2,No bed net,43.9 +Never taker,Control,0,0,14,37,No bed net,14 +Complier,Control,0,1,43.8,30.9,No bed net,43.8 +Complier,Control,0,1,37.9,25.8,No bed net,37.9 +Complier,Treatment,0,1,34.2,55,Bed net,55 +Always taker,Treatment,1,1,62.5,56.9,Bed net,56.9 +Complier,Control,0,1,22.8,43.8,No bed net,22.8 +Complier,Treatment,0,1,38.3,54.9,Bed net,54.9 +Never taker,Treatment,0,0,28.1,37.8,No bed net,28.1 +Never taker,Treatment,0,0,28.6,43,No bed net,28.6 +Always taker,Treatment,1,1,57.7,59.3,Bed net,59.3 +Never taker,Control,0,0,47.4,50.9,No bed net,47.4 +Always taker,Treatment,1,1,40.8,55.3,Bed net,55.3 +Complier,Control,0,1,31.1,58.7,No bed net,31.1 +Always taker,Control,1,1,66.2,56.4,Bed net,56.4 +Never taker,Control,0,0,56.1,39.6,No bed net,56.1 +Complier,Control,0,1,47.3,39.2,No bed net,47.3 +Complier,Treatment,0,1,40.4,29.8,Bed net,29.8 +Complier,Control,0,1,16.6,51.4,No bed net,16.6 +Complier,Treatment,0,1,49.8,70.8,Bed net,70.8 +Never taker,Control,0,0,22.5,40.1,No bed net,22.5 +Never taker,Treatment,0,0,50.5,39.5,No bed net,50.5 +Complier,Treatment,0,1,47.5,61.5,Bed net,61.5 +Complier,Control,0,1,43.3,59.6,No bed net,43.3 +Never taker,Treatment,0,0,37.9,54.7,No bed net,37.9 +Always taker,Treatment,1,1,43,52.7,Bed net,52.7 +Never taker,Treatment,0,0,25.7,49.1,No bed net,25.7 +Complier,Treatment,0,1,27.2,50.8,Bed net,50.8 +Complier,Treatment,0,1,45.8,57.7,Bed net,57.7 +Complier,Treatment,0,1,41.6,42.8,Bed net,42.8 +Complier,Control,0,1,52,24.9,No bed net,52 +Never taker,Control,0,0,33.3,23,No bed net,33.3 +Complier,Control,0,1,29.8,70.1,No bed net,29.8 +Complier,Control,0,1,43,51.7,No bed net,43 +Complier,Control,0,1,28.7,48.7,No bed net,28.7 +Never taker,Control,0,0,33,23.2,No bed net,33 +Never taker,Treatment,0,0,47.4,25.9,No bed net,47.4 +Complier,Treatment,0,1,45,39.9,Bed net,39.9 +Never taker,Control,0,0,56.5,27.3,No bed net,56.5 +Complier,Treatment,0,1,39.7,77.6,Bed net,77.6 +Never taker,Treatment,0,0,32.9,44.8,No bed net,32.9 +Always taker,Control,1,1,48,63.6,Bed net,63.6 +Never taker,Treatment,0,0,17.3,28,No bed net,17.3 +Always taker,Treatment,1,1,54.9,47.4,Bed net,47.4 +Complier,Control,0,1,35.7,50.2,No bed net,35.7 +Never taker,Control,0,0,18.7,33.7,No bed net,18.7 +Complier,Treatment,0,1,30.3,34.4,Bed net,34.4 +Complier,Treatment,0,1,41.6,54,Bed net,54 +Always taker,Treatment,1,1,58.7,38.8,Bed net,38.8 +Never taker,Treatment,0,0,37.2,54.2,No bed net,37.2 +Always taker,Treatment,1,1,50.1,47.4,Bed net,47.4 +Always taker,Control,1,1,58.2,53.6,Bed net,53.6 +Always taker,Control,1,1,58.7,52.4,Bed net,52.4 +Always taker,Control,1,1,59.7,56.9,Bed net,56.9 +Complier,Control,0,1,40.3,41.5,No bed net,40.3 +Always taker,Control,1,1,75.5,57.6,Bed net,57.6 +Complier,Control,0,1,35.5,74.3,No bed net,35.5 +Complier,Treatment,0,1,44.3,51.5,Bed net,51.5 +Complier,Control,0,1,45.8,38.3,No bed net,45.8 +Never taker,Control,0,0,47.2,59.7,No bed net,47.2 +Complier,Control,0,1,41.6,56.4,No bed net,41.6 +Complier,Treatment,0,1,31.8,45.3,Bed net,45.3 +Complier,Treatment,0,1,38.8,67,Bed net,67 +Never taker,Control,0,0,22,39.3,No bed net,22 +Complier,Control,0,1,42.3,28.3,No bed net,42.3 +Never taker,Control,0,0,41.7,0,No bed net,41.7 +Always taker,Treatment,1,1,61.8,47.1,Bed net,47.1 +Complier,Treatment,0,1,23.5,61.3,Bed net,61.3 +Never taker,Control,0,0,10.9,41.4,No bed net,10.9 +Never taker,Treatment,0,0,37.2,38.5,No bed net,37.2 +Complier,Control,0,1,47.5,50.3,No bed net,47.5 +Complier,Control,0,1,29.4,62.1,No bed net,29.4 +Always taker,Control,1,1,70.2,67.6,Bed net,67.6 +Complier,Treatment,0,1,38.3,72.9,Bed net,72.9 +Complier,Control,0,1,28.9,40,No bed net,28.9 +Complier,Control,0,1,26.6,83.9,No bed net,26.6 +Always taker,Treatment,1,1,56.8,64,Bed net,64 +Complier,Control,0,1,33.1,56.9,No bed net,33.1 +Never taker,Treatment,0,0,43,44.6,No bed net,43 +Never taker,Control,0,0,36.5,33,No bed net,36.5 +Never taker,Control,0,0,50.3,17.8,No bed net,50.3 +Never taker,Control,0,0,41.4,40.7,No bed net,41.4 +Complier,Control,0,1,19.1,51.7,No bed net,19.1 +Always taker,Control,1,1,54.6,66.3,Bed net,66.3 +Never taker,Treatment,0,0,24.1,20.7,No bed net,24.1 +Complier,Treatment,0,1,36.5,49.1,Bed net,49.1 +Complier,Treatment,0,1,39.8,54.1,Bed net,54.1 +Complier,Treatment,0,1,30.6,62.9,Bed net,62.9 +Complier,Treatment,0,1,46.7,78.3,Bed net,78.3 +Never taker,Treatment,0,0,33.3,35.8,No bed net,33.3 +Always taker,Treatment,1,1,59.1,45.5,Bed net,45.5 +Complier,Treatment,0,1,39.2,61.7,Bed net,61.7 +Never taker,Treatment,0,0,30.7,32.8,No bed net,30.7 +Complier,Treatment,0,1,46.5,49.6,Bed net,49.6 +Never taker,Treatment,0,0,43.6,43.3,No bed net,43.6 +Complier,Treatment,0,1,37.7,35.5,Bed net,35.5 +Always taker,Treatment,1,1,37.8,48.5,Bed net,48.5 +Complier,Control,0,1,43.2,44.8,No bed net,43.2 +Never taker,Treatment,0,0,10.4,43,No bed net,10.4 +Never taker,Control,0,0,31.7,40.3,No bed net,31.7 +Complier,Treatment,0,1,48.4,75.2,Bed net,75.2 +Always taker,Treatment,1,1,59.5,68.3,Bed net,68.3 +Complier,Control,0,1,27,50.7,No bed net,27 +Complier,Control,0,1,36.2,50.3,No bed net,36.2 +Complier,Treatment,0,1,35.3,32.1,Bed net,32.1 +Always taker,Control,1,1,68.4,53.7,Bed net,53.7 +Complier,Control,0,1,24.7,52.4,No bed net,24.7 +Complier,Treatment,0,1,36,57,Bed net,57 +Complier,Control,0,1,30.2,69.6,No bed net,30.2 +Never taker,Control,0,0,50,36,No bed net,50 +Never taker,Control,0,0,34.4,54.7,No bed net,34.4 +Never taker,Control,0,0,64.3,40.4,No bed net,64.3 +Complier,Treatment,0,1,25.6,47.1,Bed net,47.1 +Never taker,Treatment,0,0,43.1,23.4,No bed net,43.1 +Never taker,Control,0,0,50.4,53.5,No bed net,50.4 +Complier,Control,0,1,47.4,59.3,No bed net,47.4 +Complier,Control,0,1,31.6,52.9,No bed net,31.6 +Always taker,Treatment,1,1,59.6,38.6,Bed net,38.6 +Never taker,Treatment,0,0,19.1,28.5,No bed net,19.1 +Complier,Treatment,0,1,27,74.4,Bed net,74.4 +Never taker,Treatment,0,0,44,44,No bed net,44 +Never taker,Treatment,0,0,23.5,25.3,No bed net,23.5 +Never taker,Control,0,0,32.7,37.6,No bed net,32.7 +Complier,Treatment,0,1,46.8,66.3,Bed net,66.3 +Never taker,Treatment,0,0,24.5,28.7,No bed net,24.5 +Never taker,Treatment,0,0,27,46.5,No bed net,27 +Complier,Control,0,1,41.8,49.9,No bed net,41.8 +Never taker,Treatment,0,0,33.2,63.6,No bed net,33.2 +Complier,Treatment,0,1,29.1,35.1,Bed net,35.1 +Never taker,Control,0,0,50.4,21.2,No bed net,50.4 +Complier,Control,0,1,44.2,61.3,No bed net,44.2 +Never taker,Control,0,0,33.2,32.2,No bed net,33.2 +Complier,Treatment,0,1,44.8,55.9,Bed net,55.9 +Always taker,Treatment,1,1,52.9,53.8,Bed net,53.8 +Complier,Treatment,0,1,37.3,63.1,Bed net,63.1 +Never taker,Treatment,0,0,24.2,40.8,No bed net,24.2 +Never taker,Treatment,0,0,40.8,49.2,No bed net,40.8 +Never taker,Control,0,0,32.3,44.6,No bed net,32.3 +Complier,Treatment,0,1,45.6,40.5,Bed net,40.5 +Always taker,Treatment,1,1,64.7,37.5,Bed net,37.5 +Complier,Treatment,0,1,41.4,68.1,Bed net,68.1 +Complier,Control,0,1,29.5,63.1,No bed net,29.5 +Never taker,Treatment,0,0,57.8,31.2,No bed net,57.8 +Complier,Treatment,0,1,34.7,54,Bed net,54 +Never taker,Control,0,0,47.1,28.7,No bed net,47.1 +Complier,Control,0,1,36.7,41.9,No bed net,36.7 +Always taker,Treatment,1,1,39.5,54.1,Bed net,54.1 +Complier,Treatment,0,1,41.3,47,Bed net,47 +Complier,Treatment,0,1,41.9,64.3,Bed net,64.3 +Always taker,Treatment,1,1,54.7,54.2,Bed net,54.2 +Never taker,Control,0,0,28.6,37.3,No bed net,28.6 +Complier,Treatment,0,1,17,69.9,Bed net,69.9 +Complier,Control,0,1,31.6,46.1,No bed net,31.6 +Complier,Control,0,1,33.1,76.5,No bed net,33.1 +Never taker,Treatment,0,0,37.8,41.7,No bed net,37.8 +Complier,Treatment,0,1,32.1,41.2,Bed net,41.2 +Never taker,Control,0,0,45.6,45.1,No bed net,45.6 +Never taker,Control,0,0,54.8,33.6,No bed net,54.8 +Always taker,Control,1,1,62.5,43.3,Bed net,43.3 +Complier,Control,0,1,39.2,41.5,No bed net,39.2 +Complier,Treatment,0,1,48.1,43.8,Bed net,43.8 +Always taker,Treatment,1,1,43.8,55.1,Bed net,55.1 +Complier,Treatment,0,1,45.5,43,Bed net,43 +Never taker,Control,0,0,23.8,20.6,No bed net,23.8 +Always taker,Control,1,1,38.8,44.1,Bed net,44.1 +Complier,Treatment,0,1,48,55.4,Bed net,55.4 +Complier,Control,0,1,41.3,56.6,No bed net,41.3 +Always taker,Treatment,1,1,44.3,45.7,Bed net,45.7 +Complier,Control,0,1,42.1,56.7,No bed net,42.1 +Complier,Treatment,0,1,25.3,43.6,Bed net,43.6 +Complier,Control,0,1,37.6,43.3,No bed net,37.6 +Never taker,Control,0,0,30.5,27.7,No bed net,30.5 +Never taker,Control,0,0,15.2,34.1,No bed net,15.2 +Never taker,Treatment,0,0,24.8,40.4,No bed net,24.8 +Complier,Treatment,0,1,31,46,Bed net,46 +Never taker,Treatment,0,0,22.5,17.1,No bed net,22.5 +Always taker,Treatment,1,1,54.7,46.4,Bed net,46.4 +Never taker,Treatment,0,0,39.8,26.7,No bed net,39.8 +Always taker,Treatment,1,1,57.9,67.6,Bed net,67.6 +Never taker,Control,0,0,21.2,21,No bed net,21.2 +Never taker,Control,0,0,49.9,52.9,No bed net,49.9 +Never taker,Treatment,0,0,30.7,24.5,No bed net,30.7 +Never taker,Treatment,0,0,13.4,33.6,No bed net,13.4 +Complier,Control,0,1,36.5,36,No bed net,36.5 +Never taker,Control,0,0,42.8,19.3,No bed net,42.8 +Complier,Control,0,1,43.3,59,No bed net,43.3 +Always taker,Control,1,1,50.9,64,Bed net,64 +Complier,Control,0,1,47.3,70,No bed net,47.3 +Always taker,Treatment,1,1,50.8,50.3,Bed net,50.3 +Always taker,Control,1,1,67.8,65.8,Bed net,65.8 +Never taker,Treatment,0,0,62.3,16.4,No bed net,62.3 +Complier,Treatment,0,1,32.8,26.7,Bed net,26.7 +Never taker,Control,0,0,31.5,36.2,No bed net,31.5 +Never taker,Treatment,0,0,27.4,42.6,No bed net,27.4 +Never taker,Treatment,0,0,36.2,31.9,No bed net,36.2 +Always taker,Treatment,1,1,57.6,52.1,Bed net,52.1 +Complier,Control,0,1,50.4,76.3,No bed net,50.4 +Always taker,Control,1,1,54.4,52.7,Bed net,52.7 +Never taker,Control,0,0,49,66.6,No bed net,49 +Complier,Control,0,1,49.3,65.6,No bed net,49.3 +Always taker,Control,1,1,53.7,52.4,Bed net,52.4 +Never taker,Treatment,0,0,37.7,27.9,No bed net,37.7 +Never taker,Treatment,0,0,33.2,33.4,No bed net,33.2 +Never taker,Control,0,0,31.9,46.8,No bed net,31.9 +Complier,Control,0,1,26.8,31.1,No bed net,26.8 +Always taker,Treatment,1,1,44.2,46.2,Bed net,46.2 +Never taker,Control,0,0,42.2,35,No bed net,42.2 +Never taker,Treatment,0,0,19.6,59.8,No bed net,19.6 +Complier,Control,0,1,33.8,45.4,No bed net,33.8 +Never taker,Treatment,0,0,49.2,43.4,No bed net,49.2 +Complier,Control,0,1,37.5,43.1,No bed net,37.5 +Always taker,Treatment,1,1,84,50.9,Bed net,50.9 +Always taker,Control,1,1,60.8,53.8,Bed net,53.8 +Complier,Control,0,1,20.3,48.9,No bed net,20.3 +Complier,Control,0,1,14.5,34.8,No bed net,14.5 +Complier,Control,0,1,39.6,59.2,No bed net,39.6 +Complier,Treatment,0,1,31.6,51,Bed net,51 +Never taker,Control,0,0,28.9,35.6,No bed net,28.9 +Complier,Treatment,0,1,36.1,66.7,Bed net,66.7 +Complier,Control,0,1,41.8,51.3,No bed net,41.8 +Never taker,Control,0,0,49.5,20.2,No bed net,49.5 +Always taker,Treatment,1,1,63.6,54,Bed net,54 +Always taker,Treatment,1,1,41.7,50.5,Bed net,50.5 +Complier,Treatment,0,1,41.7,72,Bed net,72 +Never taker,Control,0,0,14.4,24.8,No bed net,14.4 +Always taker,Control,1,1,60,61.6,Bed net,61.6 +Complier,Control,0,1,37.4,45,No bed net,37.4 +Always taker,Treatment,1,1,42.7,39.7,Bed net,39.7 +Never taker,Control,0,0,28.2,43.5,No bed net,28.2 +Always taker,Control,1,1,54.7,51.3,Bed net,51.3 +Complier,Treatment,0,1,49.9,71.9,Bed net,71.9 +Never taker,Control,0,0,44.4,42.8,No bed net,44.4 +Never taker,Control,0,0,56.6,23.5,No bed net,56.6 +Complier,Treatment,0,1,43.2,50.7,Bed net,50.7 +Never taker,Control,0,0,47.8,44.2,No bed net,47.8 +Complier,Treatment,0,1,39.4,33.4,Bed net,33.4 +Complier,Treatment,0,1,18.9,41.5,Bed net,41.5 +Never taker,Treatment,0,0,66.8,13.3,No bed net,66.8 +Never taker,Control,0,0,18.8,18.3,No bed net,18.8 +Never taker,Control,0,0,40.1,28.3,No bed net,40.1 +Never taker,Control,0,0,19.8,21.7,No bed net,19.8 +Never taker,Control,0,0,54.1,45.3,No bed net,54.1 +Never taker,Treatment,0,0,35.5,36.2,No bed net,35.5 +Complier,Control,0,1,33.5,46.2,No bed net,33.5 +Never taker,Control,0,0,44.6,27.6,No bed net,44.6 +Always taker,Treatment,1,1,60.2,67.5,Bed net,67.5 +Always taker,Control,1,1,47.1,71.2,Bed net,71.2 +Complier,Control,0,1,30.1,52.3,No bed net,30.1 +Complier,Treatment,0,1,37.9,48.8,Bed net,48.8 +Complier,Control,0,1,46.1,64.4,No bed net,46.1 +Complier,Treatment,0,1,40,42.2,Bed net,42.2 +Never taker,Control,0,0,34.1,45.4,No bed net,34.1 +Always taker,Treatment,1,1,45.6,44.1,Bed net,44.1 +Complier,Control,0,1,36,58.7,No bed net,36 +Complier,Treatment,0,1,42.2,53.5,Bed net,53.5 +Never taker,Control,0,0,30.3,57,No bed net,30.3 +Never taker,Control,0,0,40.6,51,No bed net,40.6 +Complier,Control,0,1,41.5,60.2,No bed net,41.5 +Complier,Treatment,0,1,45.7,42.5,Bed net,42.5 +Complier,Treatment,0,1,41.3,53.8,Bed net,53.8 +Complier,Control,0,1,41.9,71.5,No bed net,41.9 +Complier,Treatment,0,1,35.5,44.3,Bed net,44.3 +Never taker,Treatment,0,0,55.6,53.1,No bed net,55.6 +Complier,Control,0,1,45.4,38,No bed net,45.4 +Never taker,Treatment,0,0,17.7,17.6,No bed net,17.7 +Complier,Treatment,0,1,43,43.5,Bed net,43.5 +Complier,Treatment,0,1,33.3,38.6,Bed net,38.6 +Complier,Treatment,0,1,33.9,55.2,Bed net,55.2 +Always taker,Treatment,1,1,65,61.2,Bed net,61.2 +Always taker,Treatment,1,1,53,39.4,Bed net,39.4 +Never taker,Control,0,0,29.5,28,No bed net,29.5 +Always taker,Treatment,1,1,61.4,46.7,Bed net,46.7 +Complier,Control,0,1,20.6,71,No bed net,20.6 +Complier,Treatment,0,1,40.7,64,Bed net,64 +Complier,Treatment,0,1,43,64,Bed net,64 +Never taker,Treatment,0,0,43,37.3,No bed net,43 +Complier,Treatment,0,1,37.6,73.6,Bed net,73.6 +Complier,Control,0,1,41.9,63.3,No bed net,41.9 +Always taker,Treatment,1,1,54.3,64.5,Bed net,64.5 +Never taker,Control,0,0,35.4,22.1,No bed net,35.4 +Never taker,Treatment,0,0,29.2,54.6,No bed net,29.2 +Always taker,Control,1,1,56.4,59.1,Bed net,59.1 +Never taker,Treatment,0,0,40.3,27.8,No bed net,40.3 +Never taker,Control,0,0,63.1,14.1,No bed net,63.1 +Complier,Treatment,0,1,36.4,52.4,Bed net,52.4 +Never taker,Treatment,0,0,32.2,46.5,No bed net,32.2 +Never taker,Treatment,0,0,34.2,40,No bed net,34.2 +Complier,Treatment,0,1,36.2,45,Bed net,45 +Complier,Control,0,1,46.8,40.4,No bed net,46.8 +Complier,Treatment,0,1,30.4,51.3,Bed net,51.3 +Always taker,Control,1,1,56.8,58.4,Bed net,58.4 +Never taker,Treatment,0,0,32.8,16.1,No bed net,32.8 +Complier,Treatment,0,1,38.8,55.6,Bed net,55.6 +Never taker,Treatment,0,0,52.7,30.2,No bed net,52.7 +Always taker,Control,1,1,63.3,75.8,Bed net,75.8 +Complier,Treatment,0,1,29.9,84.6,Bed net,84.6 +Complier,Control,0,1,43.6,45.6,No bed net,43.6 +Always taker,Treatment,1,1,66,68.6,Bed net,68.6 +Always taker,Treatment,1,1,51,59.3,Bed net,59.3 +Complier,Control,0,1,23.1,51.3,No bed net,23.1 +Complier,Treatment,0,1,34,77.8,Bed net,77.8 +Always taker,Treatment,1,1,46.6,58.7,Bed net,58.7 +Complier,Control,0,1,46.3,57.1,No bed net,46.3 +Always taker,Treatment,1,1,45,53.6,Bed net,53.6 +Complier,Treatment,0,1,39,79.7,Bed net,79.7 +Complier,Treatment,0,1,43.5,50.1,Bed net,50.1 +Never taker,Control,0,0,28.6,33.5,No bed net,28.6 +Never taker,Control,0,0,33.9,28.7,No bed net,33.9 +Complier,Treatment,0,1,49.6,81.4,Bed net,81.4 +Always taker,Treatment,1,1,71.4,63.4,Bed net,63.4 +Always taker,Treatment,1,1,42.8,68.2,Bed net,68.2 +Complier,Treatment,0,1,29.7,78.2,Bed net,78.2 +Complier,Control,0,1,33.3,53.5,No bed net,33.3 +Never taker,Control,0,0,47.2,36.6,No bed net,47.2 +Complier,Control,0,1,31.5,41.3,No bed net,31.5 +Complier,Treatment,0,1,37.8,67.7,Bed net,67.7 +Never taker,Treatment,0,0,49.1,52.5,No bed net,49.1 +Never taker,Treatment,0,0,37.2,31.7,No bed net,37.2 +Always taker,Treatment,1,1,68.9,64.8,Bed net,64.8 +Never taker,Treatment,0,0,18.1,42.7,No bed net,18.1 +Complier,Control,0,1,27.1,60.6,No bed net,27.1 +Never taker,Control,0,0,34.5,53.6,No bed net,34.5 +Never taker,Treatment,0,0,39.9,23.7,No bed net,39.9 +Complier,Control,0,1,29.1,52.6,No bed net,29.1 +Never taker,Control,0,0,54,43.7,No bed net,54 +Complier,Treatment,0,1,45.5,57.6,Bed net,57.6 +Complier,Treatment,0,1,41.1,70.3,Bed net,70.3 +Never taker,Control,0,0,25.8,35.6,No bed net,25.8 +Never taker,Treatment,0,0,32.7,21.9,No bed net,32.7 +Never taker,Treatment,0,0,27.2,59,No bed net,27.2 +Always taker,Treatment,1,1,59.7,43,Bed net,43 +Never taker,Treatment,0,0,32.6,52.8,No bed net,32.6 +Always taker,Treatment,1,1,63.3,88.8,Bed net,88.8 +Complier,Treatment,0,1,48.7,63.3,Bed net,63.3 +Complier,Treatment,0,1,34.2,38.7,Bed net,38.7 +Complier,Control,0,1,41.3,54.2,No bed net,41.3 +Never taker,Treatment,0,0,37.7,41.5,No bed net,37.7 +Complier,Control,0,1,39.7,62.5,No bed net,39.7 +Complier,Control,0,1,25.5,70.2,No bed net,25.5 +Complier,Treatment,0,1,44.4,67.3,Bed net,67.3 +Never taker,Control,0,0,21,43,No bed net,21 +Never taker,Treatment,0,0,27.7,41.6,No bed net,27.7 +Never taker,Control,0,0,13.7,57.3,No bed net,13.7 +Complier,Control,0,1,25.7,67,No bed net,25.7 +Complier,Control,0,1,38.5,48,No bed net,38.5 +Complier,Treatment,0,1,37.3,93.5,Bed net,93.5 +Never taker,Treatment,0,0,41.4,3.6,No bed net,41.4 +Complier,Control,0,1,31.1,27.6,No bed net,31.1 +Complier,Control,0,1,29.5,76.3,No bed net,29.5 +Always taker,Treatment,1,1,57.8,34.6,Bed net,34.6 +Never taker,Control,0,0,38.1,31.8,No bed net,38.1 +Complier,Treatment,0,1,30.4,44.3,Bed net,44.3 +Never taker,Treatment,0,0,16.1,49.5,No bed net,16.1 +Complier,Treatment,0,1,30.7,27.3,Bed net,27.3 +Never taker,Control,0,0,37,42.2,No bed net,37 +Complier,Control,0,1,32.4,63.4,No bed net,32.4 +Complier,Control,0,1,37.9,52.4,No bed net,37.9 +Complier,Treatment,0,1,38.8,43.3,Bed net,43.3 +Always taker,Control,1,1,61.2,66.3,Bed net,66.3 +Always taker,Control,1,1,42.7,70.8,Bed net,70.8 +Never taker,Control,0,0,14.4,24,No bed net,14.4 +Complier,Treatment,0,1,46.8,49.6,Bed net,49.6 +Always taker,Control,1,1,39.8,68.2,Bed net,68.2 +Complier,Control,0,1,39.7,28.5,No bed net,39.7 +Always taker,Control,1,1,58.9,55.9,Bed net,55.9 +Never taker,Treatment,0,0,32.5,38.8,No bed net,32.5 +Complier,Treatment,0,1,30.1,76.3,Bed net,76.3 +Never taker,Control,0,0,48.7,35.7,No bed net,48.7 +Always taker,Control,1,1,60.3,44.7,Bed net,44.7 +Always taker,Treatment,1,1,46.3,58.7,Bed net,58.7 +Complier,Control,0,1,53.1,73.2,No bed net,53.1 +Never taker,Treatment,0,0,42.7,56.9,No bed net,42.7 +Complier,Control,0,1,33.8,62.6,No bed net,33.8 +Complier,Control,0,1,34.9,56,No bed net,34.9 +Never taker,Treatment,0,0,51.9,40.6,No bed net,51.9 +Complier,Treatment,0,1,38.4,60.4,Bed net,60.4 +Never taker,Control,0,0,27.5,47.1,No bed net,27.5 +Always taker,Control,1,1,41.6,39.9,Bed net,39.9 +Never taker,Control,0,0,54.7,33.7,No bed net,54.7 +Never taker,Treatment,0,0,42.4,46.3,No bed net,42.4 +Always taker,Treatment,1,1,46.2,65.7,Bed net,65.7 +Complier,Treatment,0,1,44.5,44.6,Bed net,44.6 +Always taker,Control,1,1,51.4,67.3,Bed net,67.3 +Never taker,Control,0,0,32.8,51.1,No bed net,32.8 +Never taker,Control,0,0,47.1,40.8,No bed net,47.1 +Complier,Treatment,0,1,37.3,33.5,Bed net,33.5 +Never taker,Treatment,0,0,43.7,24.6,No bed net,43.7 +Never taker,Treatment,0,0,18,45.9,No bed net,18 +Complier,Treatment,0,1,38.9,93.7,Bed net,93.7 +Complier,Control,0,1,32.3,45.6,No bed net,32.3 +Complier,Treatment,0,1,30,39.6,Bed net,39.6 +Never taker,Control,0,0,43.1,34.5,No bed net,43.1 +Always taker,Control,1,1,41,42.3,Bed net,42.3 +Complier,Control,0,1,42.4,55.7,No bed net,42.4 +Complier,Control,0,1,26.2,60,No bed net,26.2 +Complier,Treatment,0,1,39.1,43.9,Bed net,43.9 +Complier,Treatment,0,1,34.4,63.1,Bed net,63.1 +Never taker,Control,0,0,63.4,35.1,No bed net,63.4 +Complier,Control,0,1,32.8,67.1,No bed net,32.8 +Always taker,Control,1,1,68.7,69.2,Bed net,69.2 +Never taker,Control,0,0,34.7,48.5,No bed net,34.7 +Complier,Treatment,0,1,41.1,43.4,Bed net,43.4 +Complier,Control,0,1,45.4,45.4,No bed net,45.4 +Always taker,Treatment,1,1,60.7,52.5,Bed net,52.5 +Always taker,Control,1,1,55.5,54.6,Bed net,54.6 +Always taker,Treatment,1,1,42.7,35.6,Bed net,35.6 +Always taker,Control,1,1,47,51,Bed net,51 +Never taker,Treatment,0,0,40.7,29.9,No bed net,40.7 +Never taker,Control,0,0,34.1,41.6,No bed net,34.1 +Complier,Treatment,0,1,35.3,47.4,Bed net,47.4 +Never taker,Treatment,0,0,19.8,6.7,No bed net,19.8 +Always taker,Control,1,1,62.5,48.7,Bed net,48.7 +Always taker,Control,1,1,54.9,56.6,Bed net,56.6 +Complier,Treatment,0,1,16,41.1,Bed net,41.1 +Never taker,Control,0,0,26,39.4,No bed net,26 +Complier,Control,0,1,49.5,26.1,No bed net,49.5 +Always taker,Control,1,1,55,63,Bed net,63 +Never taker,Control,0,0,48.7,42.3,No bed net,48.7 +Always taker,Treatment,1,1,53.5,66,Bed net,66 +Complier,Control,0,1,30.5,50.5,No bed net,30.5 +Always taker,Treatment,1,1,67,53.3,Bed net,53.3 +Never taker,Control,0,0,37.2,28.6,No bed net,37.2 +Always taker,Treatment,1,1,52.6,66.7,Bed net,66.7 +Complier,Treatment,0,1,41.6,40.5,Bed net,40.5 +Complier,Control,0,1,48.2,57.2,No bed net,48.2 +Never taker,Treatment,0,0,40.8,26.1,No bed net,40.8 +Never taker,Control,0,0,20.5,47.6,No bed net,20.5 +Complier,Treatment,0,1,20,61.1,Bed net,61.1 +Always taker,Control,1,1,49.9,69.4,Bed net,69.4 +Never taker,Control,0,0,26,27,No bed net,26 +Complier,Control,0,1,30.5,50,No bed net,30.5 +Complier,Treatment,0,1,48.7,60.6,Bed net,60.6 +Never taker,Control,0,0,22.3,37.5,No bed net,22.3 +Never taker,Treatment,0,0,33.2,17,No bed net,33.2 +Complier,Treatment,0,1,47.9,32.7,Bed net,32.7 +Complier,Treatment,0,1,42.6,27.1,Bed net,27.1 +Always taker,Treatment,1,1,54.9,39.4,Bed net,39.4 +Always taker,Treatment,1,1,53.5,69.3,Bed net,69.3 +Never taker,Control,0,0,22.5,53.3,No bed net,22.5 +Complier,Treatment,0,1,48.4,56.8,Bed net,56.8 +Never taker,Treatment,0,0,38,27.3,No bed net,38 +Never taker,Control,0,0,49.9,52.2,No bed net,49.9 +Never taker,Control,0,0,44.2,40.9,No bed net,44.2 +Never taker,Treatment,0,0,54,55.9,No bed net,54 +Always taker,Treatment,1,1,73,57.2,Bed net,57.2 +Always taker,Control,1,1,44.1,44,Bed net,44 +Complier,Treatment,0,1,31.6,65.5,Bed net,65.5 +Always taker,Control,1,1,79.5,47.3,Bed net,47.3 +Always taker,Control,1,1,52.1,71.5,Bed net,71.5 +Never taker,Treatment,0,0,42.2,36.9,No bed net,42.2 +Complier,Treatment,0,1,48,31.4,Bed net,31.4 +Never taker,Control,0,0,40.5,21.9,No bed net,40.5 +Complier,Treatment,0,1,20,65.6,Bed net,65.6 +Complier,Treatment,0,1,36.8,36,Bed net,36 +Complier,Control,0,1,39.3,52.4,No bed net,39.3 +Complier,Treatment,0,1,48.6,34.3,Bed net,34.3 +Never taker,Treatment,0,0,28.7,21.8,No bed net,28.7 +Never taker,Treatment,0,0,39.2,40.5,No bed net,39.2 +Never taker,Treatment,0,0,45.7,41.6,No bed net,45.7 +Never taker,Treatment,0,0,42.8,30,No bed net,42.8 +Complier,Treatment,0,1,30.1,56.9,Bed net,56.9 +Complier,Treatment,0,1,30.1,52.6,Bed net,52.6 +Never taker,Treatment,0,0,41.5,46,No bed net,41.5 +Always taker,Treatment,1,1,45.4,72.8,Bed net,72.8 +Never taker,Treatment,0,0,26.6,26.2,No bed net,26.6 +Complier,Control,0,1,42.5,54.1,No bed net,42.5 +Never taker,Control,0,0,18.3,60.4,No bed net,18.3 +Never taker,Treatment,0,0,12.8,36.1,No bed net,12.8 +Always taker,Treatment,1,1,51.8,48.4,Bed net,48.4 +Never taker,Treatment,0,0,19.7,28.8,No bed net,19.7 +Never taker,Control,0,0,39.5,34.6,No bed net,39.5 +Always taker,Control,1,1,58.5,39.3,Bed net,39.3 +Never taker,Control,0,0,29.7,37,No bed net,29.7 +Never taker,Control,0,0,33,38.7,No bed net,33 +Complier,Treatment,0,1,35,42,Bed net,42 +Complier,Treatment,0,1,51.8,51.9,Bed net,51.9 +Complier,Control,0,1,34.4,58.9,No bed net,34.4 +Always taker,Control,1,1,64,53.3,Bed net,53.3 +Never taker,Treatment,0,0,29.7,58,No bed net,29.7 +Complier,Treatment,0,1,54.8,20.8,Bed net,20.8 +Always taker,Treatment,1,1,50.8,54.9,Bed net,54.9 +Never taker,Control,0,0,45.2,34.2,No bed net,45.2 +Always taker,Control,1,1,65.6,47.9,Bed net,47.9 +Complier,Treatment,0,1,39.6,55.6,Bed net,55.6 +Always taker,Control,1,1,57.9,40.4,Bed net,40.4 +Never taker,Treatment,0,0,26.6,23.5,No bed net,26.6 +Complier,Control,0,1,44.3,45.7,No bed net,44.3 +Always taker,Control,1,1,47.7,46.2,Bed net,46.2 +Complier,Control,0,1,54.1,41.8,No bed net,54.1 +Complier,Control,0,1,33.8,57.3,No bed net,33.8 +Complier,Control,0,1,34.6,51.2,No bed net,34.6 +Always taker,Control,1,1,76.5,50.3,Bed net,50.3 +Always taker,Control,1,1,64.8,46.7,Bed net,46.7 +Never taker,Treatment,0,0,39.9,56.5,No bed net,39.9 +Always taker,Control,1,1,64.4,66.4,Bed net,66.4 +Never taker,Control,0,0,25.8,27.4,No bed net,25.8 +Never taker,Control,0,0,30.5,20.1,No bed net,30.5 +Complier,Control,0,1,53.5,61,No bed net,53.5 +Never taker,Treatment,0,0,41.9,50.4,No bed net,41.9 +Complier,Treatment,0,1,38.3,47.7,Bed net,47.7 +Always taker,Control,1,1,50.1,44,Bed net,44 +Never taker,Control,0,0,44.2,42.8,No bed net,44.2 +Never taker,Treatment,0,0,29.4,34.1,No bed net,29.4 +Never taker,Treatment,0,0,45.6,49.8,No bed net,45.6 +Always taker,Control,1,1,50.5,51.9,Bed net,51.9 +Complier,Treatment,0,1,32,62.7,Bed net,62.7 +Always taker,Treatment,1,1,52.8,31.4,Bed net,31.4 +Never taker,Treatment,0,0,44.5,29.3,No bed net,44.5 +Complier,Control,0,1,38.6,71.3,No bed net,38.6 +Always taker,Treatment,1,1,64.5,56.3,Bed net,56.3 +Complier,Control,0,1,49.8,34.8,No bed net,49.8 +Never taker,Control,0,0,59.6,11.7,No bed net,59.6 +Complier,Control,0,1,40.4,75.6,No bed net,40.4 +Always taker,Control,1,1,60.9,37,Bed net,37 +Never taker,Control,0,0,41.4,34,No bed net,41.4 +Never taker,Treatment,0,0,32.9,21.2,No bed net,32.9 +Always taker,Control,1,1,54.8,61.4,Bed net,61.4 +Complier,Treatment,0,1,41.1,36,Bed net,36 +Always taker,Control,1,1,40.4,51.5,Bed net,51.5 +Always taker,Treatment,1,1,57.6,81.2,Bed net,81.2 +Never taker,Control,0,0,34.6,51.2,No bed net,34.6 +Never taker,Treatment,0,0,37.1,24.5,No bed net,37.1 +Complier,Control,0,1,20.4,66.4,No bed net,20.4 +Complier,Control,0,1,48.5,54.5,No bed net,48.5 +Never taker,Control,0,0,48.6,51.3,No bed net,48.6 +Complier,Treatment,0,1,33.4,72.9,Bed net,72.9 +Complier,Control,0,1,30.4,61.1,No bed net,30.4 +Never taker,Treatment,0,0,17.7,18.2,No bed net,17.7 +Always taker,Treatment,1,1,52.4,54.6,Bed net,54.6 +Never taker,Control,0,0,49.7,70.2,No bed net,49.7 +Never taker,Treatment,0,0,35.6,18.5,No bed net,35.6 +Always taker,Treatment,1,1,47.1,53.1,Bed net,53.1 +Always taker,Control,1,1,40.5,63.1,Bed net,63.1 +Complier,Control,0,1,46.9,53.8,No bed net,46.9 +Always taker,Treatment,1,1,57.9,31.1,Bed net,31.1 +Never taker,Treatment,0,0,19.7,53.7,No bed net,19.7 +Always taker,Control,1,1,47.4,59.9,Bed net,59.9 +Complier,Treatment,0,1,22,68.3,Bed net,68.3 +Never taker,Treatment,0,0,25,25.3,No bed net,25 +Complier,Treatment,0,1,38,69.1,Bed net,69.1 +Never taker,Treatment,0,0,44.4,34,No bed net,44.4 +Always taker,Control,1,1,42.9,62.4,Bed net,62.4 +Never taker,Treatment,0,0,27.2,42.7,No bed net,27.2 +Always taker,Control,1,1,63.7,55,Bed net,55 +Never taker,Treatment,0,0,28.7,35.1,No bed net,28.7 +Complier,Control,0,1,36.3,74.9,No bed net,36.3 +Complier,Treatment,0,1,48.8,44.4,Bed net,44.4 +Always taker,Treatment,1,1,67.5,55.4,Bed net,55.4 +Complier,Treatment,0,1,31.3,51.8,Bed net,51.8 +Never taker,Treatment,0,0,42,36,No bed net,42 +Complier,Control,0,1,39.3,48.3,No bed net,39.3 +Never taker,Control,0,0,39.3,56.1,No bed net,39.3 +Never taker,Treatment,0,0,11.1,34,No bed net,11.1 +Never taker,Treatment,0,0,26.5,40.1,No bed net,26.5 +Complier,Treatment,0,1,19.6,48.6,Bed net,48.6 +Never taker,Treatment,0,0,33.9,37,No bed net,33.9 +Complier,Control,0,1,39.5,64.6,No bed net,39.5 +Never taker,Treatment,0,0,47.7,54.9,No bed net,47.7 +Complier,Control,0,1,41.2,59.1,No bed net,41.2 +Complier,Treatment,0,1,29.6,35.8,Bed net,35.8 +Complier,Control,0,1,40.2,46.3,No bed net,40.2 +Never taker,Treatment,0,0,43.8,36.6,No bed net,43.8 +Never taker,Control,0,0,31.5,28.5,No bed net,31.5 +Complier,Treatment,0,1,36.3,45.5,Bed net,45.5 +Complier,Control,0,1,25.2,53,No bed net,25.2 +Never taker,Treatment,0,0,34.7,24.7,No bed net,34.7 +Complier,Control,0,1,43.1,46.4,No bed net,43.1 +Complier,Treatment,0,1,28.5,61,Bed net,61 +Always taker,Control,1,1,58.9,51.9,Bed net,51.9 +Always taker,Treatment,1,1,54.3,66,Bed net,66 +Never taker,Control,0,0,41.1,36.6,No bed net,41.1 +Never taker,Control,0,0,32.8,67.7,No bed net,32.8 +Never taker,Control,0,0,18.6,19.4,No bed net,18.6 +Complier,Treatment,0,1,31.4,46.9,Bed net,46.9 +Never taker,Treatment,0,0,11.2,30.4,No bed net,11.2 +Always taker,Control,1,1,71,54.4,Bed net,54.4 +Never taker,Treatment,0,0,21.5,29.4,No bed net,21.5 +Always taker,Control,1,1,62.6,52.8,Bed net,52.8 +Never taker,Control,0,0,35,23.8,No bed net,35 +Always taker,Treatment,1,1,55.4,44.7,Bed net,44.7 +Never taker,Treatment,0,0,28.3,25,No bed net,28.3 +Complier,Treatment,0,1,40.7,54.8,Bed net,54.8 +Always taker,Treatment,1,1,42.6,50.1,Bed net,50.1 +Complier,Treatment,0,1,36.3,45.1,Bed net,45.1 +Never taker,Control,0,0,30.4,33.9,No bed net,30.4 +Never taker,Control,0,0,44.8,44.1,No bed net,44.8 +Always taker,Control,1,1,39.9,53.5,Bed net,53.5 +Always taker,Control,1,1,47.3,48.4,Bed net,48.4 +Never taker,Control,0,0,36.5,35,No bed net,36.5 +Never taker,Treatment,0,0,13.9,47.4,No bed net,13.9 +Complier,Treatment,0,1,42.8,64.9,Bed net,64.9 +Complier,Control,0,1,28.3,66.6,No bed net,28.3 +Complier,Treatment,0,1,45.2,41.3,Bed net,41.3 +Complier,Control,0,1,54.2,44.8,No bed net,54.2 +Always taker,Treatment,1,1,60.8,54.2,Bed net,54.2 +Always taker,Treatment,1,1,58,65.2,Bed net,65.2 +Always taker,Control,1,1,63.6,73.8,Bed net,73.8 +Never taker,Control,0,0,30.4,37.2,No bed net,30.4 +Never taker,Control,0,0,27.3,56.5,No bed net,27.3 +Never taker,Treatment,0,0,10.5,28.1,No bed net,10.5 +Never taker,Control,0,0,37.6,24.3,No bed net,37.6 +Complier,Treatment,0,1,47.9,53.4,Bed net,53.4 +Never taker,Treatment,0,0,33.1,32.1,No bed net,33.1 +Complier,Treatment,0,1,29.1,42.3,Bed net,42.3 +Complier,Treatment,0,1,41.4,19.6,Bed net,19.6 +Never taker,Control,0,0,34.7,55,No bed net,34.7 +Complier,Treatment,0,1,27.8,65.1,Bed net,65.1 +Complier,Control,0,1,42.1,53.5,No bed net,42.1 +Complier,Treatment,0,1,39.4,59.8,Bed net,59.8 +Never taker,Treatment,0,0,36.7,49.8,No bed net,36.7 +Always taker,Control,1,1,56.7,45.4,Bed net,45.4 +Never taker,Control,0,0,13.8,24.2,No bed net,13.8 +Always taker,Control,1,1,43.7,57.3,Bed net,57.3 +Complier,Treatment,0,1,44.9,55.7,Bed net,55.7 +Always taker,Treatment,1,1,58,56,Bed net,56 +Never taker,Control,0,0,49,45.8,No bed net,49 +Complier,Treatment,0,1,31.7,54.6,Bed net,54.6 +Never taker,Control,0,0,20.7,22.5,No bed net,20.7 +Complier,Treatment,0,1,38.3,53.6,Bed net,53.6 +Never taker,Treatment,0,0,18.2,47.3,No bed net,18.2 +Complier,Treatment,0,1,37.1,78.1,Bed net,78.1 +Never taker,Treatment,0,0,45.1,23.2,No bed net,45.1 +Complier,Control,0,1,19.7,54.7,No bed net,19.7 +Always taker,Control,1,1,42.7,62.2,Bed net,62.2 +Complier,Treatment,0,1,44.5,47.6,Bed net,47.6 +Complier,Treatment,0,1,33.1,38.9,Bed net,38.9 +Never taker,Control,0,0,41.8,23.4,No bed net,41.8 +Always taker,Treatment,1,1,61,39.1,Bed net,39.1 +Always taker,Treatment,1,1,40.1,60.5,Bed net,60.5 +Always taker,Control,1,1,40.3,62.3,Bed net,62.3 +Never taker,Control,0,0,43.4,44.7,No bed net,43.4 +Complier,Treatment,0,1,41.8,64.7,Bed net,64.7 +Complier,Treatment,0,1,36.8,43.8,Bed net,43.8 +Never taker,Control,0,0,17.3,34.4,No bed net,17.3 +Never taker,Treatment,0,0,46,35.4,No bed net,46 +Complier,Control,0,1,35.7,39.4,No bed net,35.7 +Never taker,Treatment,0,0,37.6,16.9,No bed net,37.6 +Always taker,Treatment,1,1,68,49.8,Bed net,49.8 +Never taker,Treatment,0,0,54.8,36.2,No bed net,54.8 +Never taker,Control,0,0,33.7,31.8,No bed net,33.7 +Never taker,Control,0,0,40.9,32.9,No bed net,40.9 +Never taker,Treatment,0,0,29.4,32.8,No bed net,29.4 +Complier,Control,0,1,29.4,42.8,No bed net,29.4 +Always taker,Control,1,1,46,58.2,Bed net,58.2 +Never taker,Treatment,0,0,24.3,34.8,No bed net,24.3 +Complier,Treatment,0,1,43.1,39.5,Bed net,39.5 +Never taker,Control,0,0,32.3,24.3,No bed net,32.3 +Complier,Control,0,1,43.8,55.8,No bed net,43.8 +Never taker,Treatment,0,0,17.5,40,No bed net,17.5 +Complier,Control,0,1,41.3,55.3,No bed net,41.3 +Complier,Treatment,0,1,30.2,28.7,Bed net,28.7 +Complier,Control,0,1,35.9,33.5,No bed net,35.9 +Never taker,Treatment,0,0,50.6,44.3,No bed net,50.6 +Complier,Control,0,1,46.4,58.2,No bed net,46.4 +Always taker,Treatment,1,1,55.5,60.1,Bed net,60.1 +Never taker,Control,0,0,22.7,30.8,No bed net,22.7 +Always taker,Treatment,1,1,50.6,58.6,Bed net,58.6 +Never taker,Control,0,0,43.6,48.1,No bed net,43.6 +Always taker,Treatment,1,1,41.7,84.7,Bed net,84.7 +Complier,Control,0,1,41,60.8,No bed net,41 +Never taker,Control,0,0,55.1,24.5,No bed net,55.1 +Never taker,Treatment,0,0,40.9,26.4,No bed net,40.9 +Complier,Treatment,0,1,35.5,39.4,Bed net,39.4 +Never taker,Control,0,0,37.3,23.8,No bed net,37.3 +Complier,Control,0,1,29.3,53.3,No bed net,29.3 +Complier,Treatment,0,1,34.9,77.1,Bed net,77.1 +Complier,Treatment,0,1,33.1,57.8,Bed net,57.8 +Complier,Treatment,0,1,43.9,58.6,Bed net,58.6 +Never taker,Treatment,0,0,41.5,38.3,No bed net,41.5 +Always taker,Treatment,1,1,51.2,52.2,Bed net,52.2 +Complier,Treatment,0,1,28.8,50.3,Bed net,50.3 +Never taker,Treatment,0,0,40.3,39,No bed net,40.3 +Never taker,Treatment,0,0,15.9,45.1,No bed net,15.9 +Never taker,Treatment,0,0,30.5,35.1,No bed net,30.5 +Always taker,Treatment,1,1,50.9,65.3,Bed net,65.3 +Complier,Treatment,0,1,35,31.7,Bed net,31.7 +Complier,Treatment,0,1,50,69,Bed net,69 +Never taker,Treatment,0,0,24.3,11.9,No bed net,24.3 +Never taker,Treatment,0,0,37.7,34.3,No bed net,37.7 +Never taker,Control,0,0,17.7,40.6,No bed net,17.7 +Never taker,Control,0,0,36.3,37,No bed net,36.3 +Never taker,Treatment,0,0,23.9,39.9,No bed net,23.9 +Complier,Control,0,1,37.1,52.3,No bed net,37.1 +Never taker,Treatment,0,0,25.5,15.2,No bed net,25.5 +Never taker,Treatment,0,0,59.3,31.8,No bed net,59.3 +Never taker,Control,0,0,30.1,27.1,No bed net,30.1 +Complier,Control,0,1,27,55.8,No bed net,27 +Never taker,Treatment,0,0,29.7,34,No bed net,29.7 +Always taker,Treatment,1,1,51.6,41.1,Bed net,41.1 +Always taker,Treatment,1,1,52.5,45.2,Bed net,45.2 +Always taker,Treatment,1,1,62.4,59.4,Bed net,59.4 +Never taker,Control,0,0,34.1,16.7,No bed net,34.1 +Complier,Control,0,1,43.1,55.4,No bed net,43.1 +Complier,Treatment,0,1,35.8,77.3,Bed net,77.3 +Never taker,Treatment,0,0,41.3,44.2,No bed net,41.3 +Complier,Treatment,0,1,26.9,35.4,Bed net,35.4 +Complier,Control,0,1,23.3,54.3,No bed net,23.3 +Never taker,Control,0,0,49.3,26.3,No bed net,49.3 +Complier,Treatment,0,1,38.6,74.7,Bed net,74.7 +Complier,Control,0,1,41.8,61.6,No bed net,41.8 +Never taker,Treatment,0,0,14.6,40.9,No bed net,14.6 +Complier,Treatment,0,1,32.6,56.8,Bed net,56.8 +Always taker,Control,1,1,60.5,57.1,Bed net,57.1 +Complier,Treatment,0,1,28.2,49.5,Bed net,49.5 +Always taker,Control,1,1,71.3,56.5,Bed net,56.5 +Complier,Control,0,1,29.5,60.8,No bed net,29.5 +Complier,Control,0,1,43.6,46.8,No bed net,43.6 +Complier,Control,0,1,44.3,44.9,No bed net,44.3 +Always taker,Treatment,1,1,55.8,57.2,Bed net,57.2 +Always taker,Control,1,1,60.3,41.3,Bed net,41.3 +Never taker,Control,0,0,39.6,36,No bed net,39.6 +Complier,Treatment,0,1,49.9,67.1,Bed net,67.1 +Complier,Treatment,0,1,39,86.4,Bed net,86.4 +Never taker,Control,0,0,39.5,28,No bed net,39.5 +Never taker,Treatment,0,0,49.6,34.4,No bed net,49.6 +Complier,Treatment,0,1,43,76,Bed net,76 +Always taker,Control,1,1,63.6,65.2,Bed net,65.2 +Never taker,Treatment,0,0,46.8,44,No bed net,46.8 +Complier,Treatment,0,1,32.4,67.6,Bed net,67.6 +Never taker,Treatment,0,0,32.6,45.4,No bed net,32.6 +Complier,Control,0,1,32.1,64.8,No bed net,32.1 +Never taker,Treatment,0,0,34.7,44.6,No bed net,34.7 +Always taker,Treatment,1,1,50.5,52.9,Bed net,52.9 +Never taker,Treatment,0,0,32.5,28.6,No bed net,32.5 +Always taker,Control,1,1,44.1,65.5,Bed net,65.5 +Never taker,Control,0,0,31.5,32.5,No bed net,31.5 +Complier,Control,0,1,21.9,90.4,No bed net,21.9 +Always taker,Control,1,1,71.4,58,Bed net,58 +Always taker,Control,1,1,68.8,42.4,Bed net,42.4 +Always taker,Treatment,1,1,48.4,55.4,Bed net,55.4 +Never taker,Treatment,0,0,24.7,50.3,No bed net,24.7 +Complier,Treatment,0,1,38,59.2,Bed net,59.2 +Never taker,Treatment,0,0,26.5,41.9,No bed net,26.5 +Never taker,Control,0,0,39.7,14.5,No bed net,39.7 +Never taker,Control,0,0,25.2,40.1,No bed net,25.2 +Complier,Treatment,0,1,48.6,43.2,Bed net,43.2 +Complier,Treatment,0,1,45.8,69.8,Bed net,69.8 +Complier,Control,0,1,17.5,43.5,No bed net,17.5 +Never taker,Control,0,0,18.1,46.5,No bed net,18.1 +Complier,Treatment,0,1,34.1,74.5,Bed net,74.5 +Complier,Control,0,1,41,59.2,No bed net,41 +Complier,Control,0,1,42.4,65.1,No bed net,42.4 +Always taker,Control,1,1,55.3,55.2,Bed net,55.2 +Never taker,Control,0,0,21.6,41.4,No bed net,21.6 +Never taker,Treatment,0,0,28,36.8,No bed net,28 +Never taker,Control,0,0,54.7,19.4,No bed net,54.7 +Never taker,Treatment,0,0,43.4,39,No bed net,43.4 +Always taker,Control,1,1,51.1,53.8,Bed net,53.8 +Complier,Treatment,0,1,32.3,76,Bed net,76 +Complier,Treatment,0,1,27.9,55.6,Bed net,55.6 +Never taker,Control,0,0,48.4,55.2,No bed net,48.4 +Never taker,Treatment,0,0,35.9,36.5,No bed net,35.9 +Never taker,Treatment,0,0,32.6,36.6,No bed net,32.6 +Complier,Control,0,1,33.4,60.5,No bed net,33.4 +Complier,Control,0,1,43.7,36.5,No bed net,43.7 +Always taker,Treatment,1,1,57.8,52.3,Bed net,52.3 +Always taker,Treatment,1,1,50.6,48.7,Bed net,48.7 +Complier,Treatment,0,1,33.7,49.7,Bed net,49.7 +Complier,Treatment,0,1,28.8,57.5,Bed net,57.5 +Always taker,Control,1,1,48.8,53.4,Bed net,53.4 +Complier,Control,0,1,39.6,51.8,No bed net,39.6 +Always taker,Control,1,1,49.3,63.7,Bed net,63.7 +Never taker,Treatment,0,0,39.8,35.2,No bed net,39.8 +Never taker,Control,0,0,21.3,46.6,No bed net,21.3 +Never taker,Treatment,0,0,36.9,33.3,No bed net,36.9 +Complier,Control,0,1,36.1,49.1,No bed net,36.1 +Never taker,Treatment,0,0,50.4,37.8,No bed net,50.4 +Never taker,Treatment,0,0,46.6,14.6,No bed net,46.6 +Complier,Treatment,0,1,33.4,63.5,Bed net,63.5 +Never taker,Treatment,0,0,51.6,39.1,No bed net,51.6 +Never taker,Treatment,0,0,46.2,34.7,No bed net,46.2 +Never taker,Control,0,0,29.5,59.3,No bed net,29.5 +Never taker,Treatment,0,0,32.1,32.3,No bed net,32.1 +Complier,Control,0,1,42.8,66.1,No bed net,42.8 +Always taker,Control,1,1,57,63.2,Bed net,63.2 +Always taker,Treatment,1,1,53.3,59.8,Bed net,59.8 +Complier,Treatment,0,1,27.4,60.2,Bed net,60.2 +Complier,Control,0,1,46.2,49.9,No bed net,46.2 +Complier,Control,0,1,41.3,67.8,No bed net,41.3 +Never taker,Treatment,0,0,18.1,35.1,No bed net,18.1 +Never taker,Control,0,0,21.4,36.2,No bed net,21.4 +Complier,Treatment,0,1,23.4,67.4,Bed net,67.4 +Never taker,Control,0,0,28.5,23.4,No bed net,28.5 +Complier,Control,0,1,26.7,69.1,No bed net,26.7 +Complier,Treatment,0,1,43.7,54.8,Bed net,54.8 +Never taker,Control,0,0,53.6,63.9,No bed net,53.6 +Never taker,Treatment,0,0,38.5,36.5,No bed net,38.5 +Never taker,Treatment,0,0,30.7,33.1,No bed net,30.7 +Always taker,Control,1,1,66.4,42.8,Bed net,42.8 +Never taker,Control,0,0,40.9,46.2,No bed net,40.9 +Complier,Control,0,1,27,48.9,No bed net,27 +Never taker,Control,0,0,39,37.6,No bed net,39 +Complier,Control,0,1,28.5,56.6,No bed net,28.5 +Never taker,Treatment,0,0,40.5,49.3,No bed net,40.5 +Complier,Control,0,1,43.1,56,No bed net,43.1 +Never taker,Treatment,0,0,33.2,28.4,No bed net,33.2 +Complier,Treatment,0,1,44.7,47,Bed net,47 +Always taker,Control,1,1,68.1,56.7,Bed net,56.7 +Complier,Treatment,0,1,44.8,33,Bed net,33 +Always taker,Control,1,1,68.7,56.9,Bed net,56.9 +Complier,Treatment,0,1,37,55.2,Bed net,55.2 +Complier,Treatment,0,1,33.6,60.6,Bed net,60.6 +Complier,Control,0,1,44.9,58.2,No bed net,44.9 +Never taker,Control,0,0,30,28.5,No bed net,30 +Never taker,Control,0,0,35,42.6,No bed net,35 +Complier,Control,0,1,25.8,74.6,No bed net,25.8 +Never taker,Control,0,0,44.2,46.7,No bed net,44.2 +Complier,Treatment,0,1,50.4,46.5,Bed net,46.5 +Always taker,Treatment,1,1,60,41.3,Bed net,41.3 +Never taker,Treatment,0,0,34.8,25,No bed net,34.8 +Always taker,Control,1,1,59.6,51.7,Bed net,51.7 +Always taker,Control,1,1,37.7,58.2,Bed net,58.2 +Never taker,Treatment,0,0,42.2,30.1,No bed net,42.2 +Always taker,Treatment,1,1,49.3,59.7,Bed net,59.7 +Complier,Treatment,0,1,32,49.1,Bed net,49.1 +Never taker,Treatment,0,0,28.8,14.5,No bed net,28.8 +Complier,Treatment,0,1,44.2,28.1,Bed net,28.1 +Never taker,Treatment,0,0,36.6,38.1,No bed net,36.6 +Complier,Control,0,1,43.2,34.8,No bed net,43.2 +Always taker,Control,1,1,62.2,64.7,Bed net,64.7 +Complier,Control,0,1,34.5,53.4,No bed net,34.5 +Never taker,Control,0,0,34.5,26.5,No bed net,34.5 +Never taker,Control,0,0,41.1,51.1,No bed net,41.1 +Complier,Treatment,0,1,34.5,54.6,Bed net,54.6 +Never taker,Control,0,0,46,23.7,No bed net,46 +Complier,Control,0,1,37.3,62.2,No bed net,37.3 +Never taker,Control,0,0,21.8,41.3,No bed net,21.8 +Always taker,Control,1,1,49.5,67.8,Bed net,67.8 +Complier,Treatment,0,1,36.3,47,Bed net,47 +Never taker,Control,0,0,30.2,42,No bed net,30.2 +Complier,Control,0,1,42.6,39.3,No bed net,42.6 +Never taker,Control,0,0,33.9,25.9,No bed net,33.9 +Complier,Treatment,0,1,36.2,37.9,Bed net,37.9 +Complier,Treatment,0,1,39.4,71.6,Bed net,71.6 +Never taker,Treatment,0,0,37.4,14.1,No bed net,37.4 +Always taker,Treatment,1,1,34.3,67.4,Bed net,67.4 +Complier,Control,0,1,34.4,53.1,No bed net,34.4 +Complier,Treatment,0,1,46.1,57.5,Bed net,57.5 +Always taker,Control,1,1,48.6,53.4,Bed net,53.4 +Never taker,Control,0,0,68.1,25.4,No bed net,68.1 +Complier,Treatment,0,1,41.5,44.8,Bed net,44.8 +Always taker,Control,1,1,58.8,60.7,Bed net,60.7 +Never taker,Treatment,0,0,17,23.3,No bed net,17 +Never taker,Control,0,0,25.4,27.9,No bed net,25.4 +Always taker,Control,1,1,51.6,65.4,Bed net,65.4 +Never taker,Control,0,0,16,51.7,No bed net,16 +Never taker,Treatment,0,0,43.1,47.6,No bed net,43.1 +Complier,Treatment,0,1,48.5,32.7,Bed net,32.7 +Complier,Control,0,1,36.6,73.3,No bed net,36.6 +Always taker,Treatment,1,1,52.4,60.6,Bed net,60.6 +Never taker,Control,0,0,22.6,44.8,No bed net,22.6 +Complier,Treatment,0,1,51,54,Bed net,54 +Never taker,Treatment,0,0,21.8,40,No bed net,21.8 +Complier,Treatment,0,1,43.6,65.9,Bed net,65.9 +Never taker,Control,0,0,31.3,17.6,No bed net,31.3 +Always taker,Treatment,1,1,58.1,63.1,Bed net,63.1 +Never taker,Treatment,0,0,32.6,12.4,No bed net,32.6 +Always taker,Treatment,1,1,52,60.9,Bed net,60.9 +Complier,Control,0,1,41.8,53,No bed net,41.8 +Never taker,Control,0,0,25.1,36.3,No bed net,25.1 +Never taker,Control,0,0,32.6,24.9,No bed net,32.6 +Complier,Control,0,1,49,40.7,No bed net,49 +Never taker,Control,0,0,46.1,11.9,No bed net,46.1 +Complier,Control,0,1,35.6,62,No bed net,35.6 +Never taker,Treatment,0,0,29.7,41.9,No bed net,29.7 +Always taker,Control,1,1,42.2,56.5,Bed net,56.5 +Always taker,Treatment,1,1,61.3,53.9,Bed net,53.9 +Complier,Control,0,1,32.5,54.2,No bed net,32.5 +Always taker,Treatment,1,1,67.9,74.6,Bed net,74.6 +Never taker,Treatment,0,0,46.4,36.1,No bed net,46.4 +Complier,Control,0,1,45.2,35.8,No bed net,45.2 +Complier,Control,0,1,29.1,49.4,No bed net,29.1 +Never taker,Control,0,0,45.3,41.7,No bed net,45.3 +Complier,Control,0,1,25.3,86.1,No bed net,25.3 +Complier,Treatment,0,1,35.4,56.9,Bed net,56.9 +Complier,Control,0,1,36.2,69.3,No bed net,36.2 +Always taker,Control,1,1,60.5,65,Bed net,65 +Never taker,Control,0,0,44.4,24.1,No bed net,44.4 +Complier,Treatment,0,1,41.2,38.8,Bed net,38.8 +Never taker,Control,0,0,33.8,43,No bed net,33.8 +Always taker,Treatment,1,1,64.7,71.4,Bed net,71.4 +Complier,Treatment,0,1,37.5,52.9,Bed net,52.9 +Never taker,Treatment,0,0,27.8,41.5,No bed net,27.8 +Always taker,Treatment,1,1,59.6,53.1,Bed net,53.1 +Complier,Control,0,1,43.7,54.8,No bed net,43.7 +Never taker,Treatment,0,0,46.5,34.1,No bed net,46.5 +Never taker,Control,0,0,40.4,33.2,No bed net,40.4 +Never taker,Control,0,0,32.4,30.6,No bed net,32.4 +Complier,Treatment,0,1,35.9,58,Bed net,58 +Never taker,Treatment,0,0,32.2,36.4,No bed net,32.2 +Always taker,Control,1,1,58.2,55.9,Bed net,55.9 +Complier,Treatment,0,1,34.9,51.6,Bed net,51.6 +Never taker,Control,0,0,38.5,41.6,No bed net,38.5 +Complier,Treatment,0,1,42.4,51.2,Bed net,51.2 +Complier,Treatment,0,1,24.4,35.7,Bed net,35.7 +Always taker,Control,1,1,56.4,57.3,Bed net,57.3 +Never taker,Treatment,0,0,11.2,64.2,No bed net,11.2 +Always taker,Control,1,1,49,48.2,Bed net,48.2 +Never taker,Control,0,0,43,40.2,No bed net,43 +Complier,Treatment,0,1,45.3,24.6,Bed net,24.6 +Complier,Treatment,0,1,16,49,Bed net,49 +Always taker,Treatment,1,1,53.6,54,Bed net,54 +Complier,Control,0,1,44.8,50.7,No bed net,44.8 +Complier,Treatment,0,1,40,64.2,Bed net,64.2 +Never taker,Control,0,0,41.5,40,No bed net,41.5 +Never taker,Treatment,0,0,14.5,32.8,No bed net,14.5 +Complier,Treatment,0,1,44.4,39.1,Bed net,39.1 +Never taker,Control,0,0,52.2,39.5,No bed net,52.2 +Always taker,Treatment,1,1,44,63.5,Bed net,63.5 +Never taker,Control,0,0,49.1,49,No bed net,49.1 +Never taker,Control,0,0,34.7,13.7,No bed net,34.7 +Complier,Control,0,1,43,8.9,No bed net,43 +Never taker,Control,0,0,43.2,40.3,No bed net,43.2 +Complier,Treatment,0,1,36.1,65.4,Bed net,65.4 +Always taker,Treatment,1,1,55,65.7,Bed net,65.7 +Complier,Control,0,1,31.8,56.6,No bed net,31.8 +Complier,Treatment,0,1,45.8,61.1,Bed net,61.1 +Complier,Control,0,1,56,58.4,No bed net,56 +Complier,Control,0,1,35.6,62.6,No bed net,35.6 +Complier,Treatment,0,1,44.4,70.1,Bed net,70.1 +Never taker,Treatment,0,0,38.4,51.9,No bed net,38.4 +Never taker,Control,0,0,9.2,69.8,No bed net,9.2 +Always taker,Control,1,1,59.4,47.5,Bed net,47.5 +Always taker,Treatment,1,1,63.8,58.9,Bed net,58.9 +Never taker,Treatment,0,0,31.6,38.8,No bed net,31.6 +Complier,Treatment,0,1,35.4,79.8,Bed net,79.8 +Never taker,Control,0,0,34.9,45.6,No bed net,34.9 +Never taker,Control,0,0,29.2,33.5,No bed net,29.2 +Never taker,Control,0,0,12.7,21.5,No bed net,12.7 +Never taker,Control,0,0,47.6,55.3,No bed net,47.6 +Never taker,Control,0,0,27.5,23.1,No bed net,27.5 +Complier,Treatment,0,1,39.7,56.5,Bed net,56.5 +Never taker,Control,0,0,27.8,47.5,No bed net,27.8 +Never taker,Treatment,0,0,36.2,45.3,No bed net,36.2 +Never taker,Treatment,0,0,34.6,24.8,No bed net,34.6 +Complier,Control,0,1,36.8,42,No bed net,36.8 +Complier,Treatment,0,1,37.7,67.2,Bed net,67.2 +Complier,Control,0,1,36.6,36.2,No bed net,36.6 +Always taker,Treatment,1,1,75.3,53.7,Bed net,53.7 +Always taker,Control,1,1,54,66.6,Bed net,66.6 +Never taker,Control,0,0,38.5,48.8,No bed net,38.5 +Never taker,Treatment,0,0,52.2,53,No bed net,52.2 +Never taker,Treatment,0,0,49.6,26.1,No bed net,49.6 +Complier,Treatment,0,1,31.8,44.8,Bed net,44.8 +Never taker,Control,0,0,45.6,38.2,No bed net,45.6 +Never taker,Control,0,0,46.7,5.8,No bed net,46.7 +Complier,Treatment,0,1,29.8,41.1,Bed net,41.1 +Never taker,Treatment,0,0,22.3,23.1,No bed net,22.3 +Never taker,Treatment,0,0,72.2,43.6,No bed net,72.2 +Never taker,Control,0,0,39.7,32.4,No bed net,39.7 +Never taker,Treatment,0,0,67.4,25.1,No bed net,67.4 +Complier,Control,0,1,26.4,75.5,No bed net,26.4 +Never taker,Control,0,0,48.2,31.9,No bed net,48.2 +Complier,Control,0,1,41.1,58.9,No bed net,41.1 +Always taker,Control,1,1,58.5,45.2,Bed net,45.2 +Complier,Control,0,1,39.5,30.2,No bed net,39.5 +Complier,Control,0,1,57.9,54.8,No bed net,57.9 +Never taker,Control,0,0,69.6,43.7,No bed net,69.6 +Complier,Treatment,0,1,30,25.9,Bed net,25.9 +Never taker,Treatment,0,0,36.4,50.1,No bed net,36.4 +Never taker,Treatment,0,0,37.1,42.7,No bed net,37.1 +Never taker,Treatment,0,0,13.7,33.4,No bed net,13.7 +Never taker,Treatment,0,0,26.1,28.6,No bed net,26.1 +Never taker,Control,0,0,17.1,54.6,No bed net,17.1 +Complier,Control,0,1,50.8,46.8,No bed net,50.8 +Complier,Treatment,0,1,27.3,39.8,Bed net,39.8 +Complier,Control,0,1,49.4,66.2,No bed net,49.4 +Complier,Treatment,0,1,32.7,43.7,Bed net,43.7 +Never taker,Treatment,0,0,47.7,16.7,No bed net,47.7 +Never taker,Control,0,0,41.7,42.6,No bed net,41.7 +Always taker,Control,1,1,50.6,51,Bed net,51 +Never taker,Treatment,0,0,22.5,37.8,No bed net,22.5 +Always taker,Control,1,1,51.4,83,Bed net,83 +Always taker,Treatment,1,1,76.8,56.6,Bed net,56.6 +Never taker,Control,0,0,23,48.2,No bed net,23 +Complier,Treatment,0,1,40.5,25.5,Bed net,25.5 +Never taker,Treatment,0,0,51.8,33.2,No bed net,51.8 +Never taker,Control,0,0,49.4,36.9,No bed net,49.4 +Complier,Treatment,0,1,37.7,27.3,Bed net,27.3 +Never taker,Control,0,0,19.2,42.8,No bed net,19.2 +Always taker,Treatment,1,1,59.7,47.5,Bed net,47.5 +Never taker,Control,0,0,53,25.9,No bed net,53 +Complier,Treatment,0,1,48,36.9,Bed net,36.9 +Complier,Control,0,1,39.5,60.4,No bed net,39.5 +Never taker,Treatment,0,0,43.1,25.9,No bed net,43.1 +Complier,Control,0,1,39.5,58.5,No bed net,39.5 +Never taker,Treatment,0,0,26.6,34.8,No bed net,26.6 +Always taker,Control,1,1,56.2,56.1,Bed net,56.1 +Complier,Control,0,1,30.7,77.6,No bed net,30.7 +Never taker,Treatment,0,0,47.8,18.3,No bed net,47.8 +Never taker,Control,0,0,62.9,23.2,No bed net,62.9 +Complier,Control,0,1,46.7,43.9,No bed net,46.7 +Never taker,Treatment,0,0,29.2,35,No bed net,29.2 +Always taker,Treatment,1,1,46.8,47.6,Bed net,47.6 +Never taker,Treatment,0,0,37.3,18.1,No bed net,37.3 +Never taker,Control,0,0,43.5,29.4,No bed net,43.5 +Always taker,Control,1,1,49.7,58.5,Bed net,58.5 +Complier,Treatment,0,1,40.1,93,Bed net,93 +Complier,Control,0,1,41,62.9,No bed net,41 +Never taker,Treatment,0,0,24.9,30.2,No bed net,24.9 +Always taker,Control,1,1,56.4,56,Bed net,56 +Complier,Control,0,1,42.1,71.7,No bed net,42.1 +Complier,Treatment,0,1,39.1,43.2,Bed net,43.2 +Never taker,Control,0,0,38,53.1,No bed net,38 +Never taker,Control,0,0,20.4,46.6,No bed net,20.4 +Never taker,Control,0,0,56.3,34.8,No bed net,56.3 +Complier,Control,0,1,37.1,46.1,No bed net,37.1 +Never taker,Treatment,0,0,31.3,20.2,No bed net,31.3 +Never taker,Treatment,0,0,42.9,32.3,No bed net,42.9 +Complier,Treatment,0,1,48.4,31.4,Bed net,31.4 +Never taker,Treatment,0,0,32.7,14.6,No bed net,32.7 +Never taker,Control,0,0,27.9,21.1,No bed net,27.9 +Never taker,Treatment,0,0,42.9,32.5,No bed net,42.9 +Never taker,Control,0,0,23.3,37.8,No bed net,23.3 +Never taker,Control,0,0,37.8,22.1,No bed net,37.8 +Never taker,Control,0,0,33.9,31.8,No bed net,33.9 +Never taker,Control,0,0,31.9,18.4,No bed net,31.9 +Never taker,Treatment,0,0,44.1,40.4,No bed net,44.1 +Always taker,Control,1,1,66.4,48.7,Bed net,48.7 +Complier,Control,0,1,34.4,44,No bed net,34.4 +Never taker,Control,0,0,42.3,50.8,No bed net,42.3 +Complier,Control,0,1,46.9,70.6,No bed net,46.9 +Always taker,Treatment,1,1,67.7,52.1,Bed net,52.1 +Complier,Control,0,1,44.7,40.1,No bed net,44.7 +Complier,Control,0,1,38.8,64.3,No bed net,38.8 +Complier,Control,0,1,29.8,37,No bed net,29.8 +Complier,Treatment,0,1,35.4,63.1,Bed net,63.1 +Never taker,Treatment,0,0,37,40.1,No bed net,37 +Never taker,Treatment,0,0,36.1,48.1,No bed net,36.1 +Never taker,Treatment,0,0,19.1,44.9,No bed net,19.1 +Never taker,Control,0,0,36,49.9,No bed net,36 +Always taker,Control,1,1,68.4,60.6,Bed net,60.6 +Always taker,Control,1,1,45.4,38.4,Bed net,38.4 +Complier,Control,0,1,45.3,58.6,No bed net,45.3 +Never taker,Treatment,0,0,29.1,26.8,No bed net,29.1 +Never taker,Control,0,0,28,36.6,No bed net,28 +Never taker,Control,0,0,49.6,30.6,No bed net,49.6 +Complier,Treatment,0,1,37.9,48.4,Bed net,48.4 +Never taker,Control,0,0,31.6,27,No bed net,31.6 +Complier,Treatment,0,1,42.5,25.2,Bed net,25.2 +Always taker,Control,1,1,58.6,44,Bed net,44 +Complier,Treatment,0,1,18.1,63.4,Bed net,63.4 +Never taker,Treatment,0,0,46.5,50,No bed net,46.5 +Always taker,Treatment,1,1,49.2,56.1,Bed net,56.1 +Complier,Control,0,1,35.3,41.6,No bed net,35.3 +Complier,Treatment,0,1,32.6,47.9,Bed net,47.9 +Complier,Control,0,1,49.1,51.5,No bed net,49.1 +Never taker,Control,0,0,36,27.4,No bed net,36 +Complier,Control,0,1,36.9,62,No bed net,36.9 +Never taker,Treatment,0,0,28.1,31.3,No bed net,28.1 +Complier,Control,0,1,37.9,54.9,No bed net,37.9 +Complier,Treatment,0,1,58.1,26.9,Bed net,26.9 +Never taker,Treatment,0,0,20.9,31.1,No bed net,20.9 +Never taker,Treatment,0,0,29.4,53.5,No bed net,29.4 +Complier,Control,0,1,30.1,49,No bed net,30.1 +Never taker,Control,0,0,45.4,44.9,No bed net,45.4 +Never taker,Control,0,0,43.5,31.3,No bed net,43.5 +Complier,Control,0,1,35.6,66.7,No bed net,35.6 +Never taker,Treatment,0,0,36.3,34.3,No bed net,36.3 +Complier,Control,0,1,47.3,63.6,No bed net,47.3 +Never taker,Control,0,0,11.8,26.2,No bed net,11.8 +Never taker,Control,0,0,43.6,37.4,No bed net,43.6 +Always taker,Control,1,1,42,44.8,Bed net,44.8 +Complier,Treatment,0,1,37.8,51.7,Bed net,51.7 +Always taker,Control,1,1,51.8,57.8,Bed net,57.8 +Complier,Control,0,1,40.9,60.3,No bed net,40.9 +Complier,Control,0,1,30.5,40.1,No bed net,30.5 +Complier,Treatment,0,1,39.6,40,Bed net,40 +Never taker,Control,0,0,41,33.9,No bed net,41 +Always taker,Treatment,1,1,59.1,58.2,Bed net,58.2 +Never taker,Treatment,0,0,49.3,46.3,No bed net,49.3 +Always taker,Control,1,1,45.9,78.3,Bed net,78.3 +Always taker,Treatment,1,1,75.6,56.4,Bed net,56.4 +Never taker,Control,0,0,25.9,48.3,No bed net,25.9 +Complier,Treatment,0,1,57.5,42.7,Bed net,42.7 +Always taker,Control,1,1,63.7,60.8,Bed net,60.8 +Never taker,Control,0,0,16.5,38.6,No bed net,16.5 +Never taker,Treatment,0,0,24.1,47.5,No bed net,24.1 +Always taker,Control,1,1,47.4,52.2,Bed net,52.2 +Complier,Treatment,0,1,49,55,Bed net,55 +Complier,Control,0,1,25.4,41.8,No bed net,25.4 +Complier,Treatment,0,1,34.5,49.3,Bed net,49.3 +Complier,Treatment,0,1,34.8,48,Bed net,48 +Complier,Control,0,1,44.5,65.5,No bed net,44.5 +Never taker,Treatment,0,0,15.6,37,No bed net,15.6 +Never taker,Control,0,0,35.4,23.8,No bed net,35.4 +Always taker,Treatment,1,1,47.7,30.4,Bed net,30.4 +Never taker,Control,0,0,38.2,26.5,No bed net,38.2 +Never taker,Treatment,0,0,52.7,32,No bed net,52.7 +Always taker,Treatment,1,1,46.1,49.4,Bed net,49.4 +Always taker,Treatment,1,1,58,34.8,Bed net,34.8 +Complier,Treatment,0,1,32.4,41.2,Bed net,41.2 +Always taker,Control,1,1,54.2,50.8,Bed net,50.8 +Never taker,Control,0,0,24.3,20.9,No bed net,24.3 +Complier,Control,0,1,32.3,49.9,No bed net,32.3 +Never taker,Control,0,0,24,42.1,No bed net,24 +Never taker,Control,0,0,28.8,43,No bed net,28.8 +Always taker,Control,1,1,32.2,51.3,Bed net,51.3 +Never taker,Treatment,0,0,28.1,53.3,No bed net,28.1 +Complier,Treatment,0,1,40.1,51.8,Bed net,51.8 +Complier,Treatment,0,1,55.3,54.3,Bed net,54.3 +Never taker,Treatment,0,0,31.6,43.4,No bed net,31.6 +Never taker,Control,0,0,31.7,33.5,No bed net,31.7 +Complier,Treatment,0,1,42.1,39,Bed net,39 +Never taker,Control,0,0,18.2,42.4,No bed net,18.2 +Complier,Treatment,0,1,31.2,35.7,Bed net,35.7 +Complier,Control,0,1,31,69.1,No bed net,31 +Always taker,Treatment,1,1,60.4,63.8,Bed net,63.8 +Never taker,Treatment,0,0,60.8,39.6,No bed net,60.8 +Never taker,Control,0,0,45.8,33.8,No bed net,45.8 +Always taker,Treatment,1,1,59.3,60.8,Bed net,60.8 +Never taker,Treatment,0,0,49.4,30.7,No bed net,49.4 +Complier,Control,0,1,26,62.6,No bed net,26 +Always taker,Control,1,1,42.5,48.7,Bed net,48.7 +Complier,Control,0,1,26.8,47.7,No bed net,26.8 +Never taker,Control,0,0,35.4,42.8,No bed net,35.4 +Always taker,Control,1,1,42.8,43.7,Bed net,43.7 +Always taker,Control,1,1,62.3,72.3,Bed net,72.3 +Complier,Treatment,0,1,32.8,44.4,Bed net,44.4 +Always taker,Treatment,1,1,56.9,66.9,Bed net,66.9 +Always taker,Control,1,1,63.5,56.2,Bed net,56.2 +Never taker,Control,0,0,18.2,49.3,No bed net,18.2 +Complier,Treatment,0,1,39,49.3,Bed net,49.3 +Complier,Control,0,1,42.5,46.7,No bed net,42.5 +Complier,Treatment,0,1,46.4,63.3,Bed net,63.3 +Never taker,Control,0,0,41.7,42.1,No bed net,41.7 +Complier,Control,0,1,42.8,52.5,No bed net,42.8 +Never taker,Control,0,0,53.2,42.1,No bed net,53.2 +Complier,Control,0,1,38.5,62.9,No bed net,38.5 +Complier,Treatment,0,1,32.4,56.3,Bed net,56.3 +Complier,Treatment,0,1,38.7,56.9,Bed net,56.9 +Complier,Treatment,0,1,37.1,38.4,Bed net,38.4 +Complier,Treatment,0,1,32.3,55.4,Bed net,55.4 +Complier,Treatment,0,1,37.9,44.3,Bed net,44.3 +Complier,Treatment,0,1,35.1,27.3,Bed net,27.3 +Always taker,Control,1,1,56.2,52.5,Bed net,52.5 +Always taker,Control,1,1,46.9,66.5,Bed net,66.5 +Complier,Treatment,0,1,44.3,49,Bed net,49 +Never taker,Control,0,0,31.3,49.7,No bed net,31.3 +Never taker,Treatment,0,0,41.3,24.6,No bed net,41.3 +Never taker,Control,0,0,45.3,39.5,No bed net,45.3 +Complier,Control,0,1,40.1,35,No bed net,40.1 +Never taker,Treatment,0,0,42.1,46.4,No bed net,42.1 +Never taker,Control,0,0,26.2,36.6,No bed net,26.2 +Never taker,Treatment,0,0,25.7,34,No bed net,25.7 +Complier,Treatment,0,1,60,34,Bed net,34 +Never taker,Control,0,0,17,45.1,No bed net,17 +Never taker,Treatment,0,0,24.9,30.5,No bed net,24.9 +Never taker,Treatment,0,0,16.6,47,No bed net,16.6 +Complier,Treatment,0,1,43.3,45.7,Bed net,45.7 +Always taker,Treatment,1,1,52,57.7,Bed net,57.7 +Complier,Treatment,0,1,40.8,58,Bed net,58 +Always taker,Treatment,1,1,55.9,48,Bed net,48 +Never taker,Control,0,0,50.1,67.4,No bed net,50.1 +Complier,Treatment,0,1,31.2,80,Bed net,80 +Complier,Control,0,1,28.2,36.4,No bed net,28.2 +Complier,Control,0,1,39.6,67.4,No bed net,39.6 +Never taker,Control,0,0,55,29.8,No bed net,55 +Always taker,Treatment,1,1,64.5,60.6,Bed net,60.6 +Never taker,Control,0,0,42.3,37.4,No bed net,42.3 +Never taker,Treatment,0,0,41.2,35.4,No bed net,41.2 +Complier,Control,0,1,44.7,38.5,No bed net,44.7 +Always taker,Control,1,1,61.4,61,Bed net,61 +Complier,Control,0,1,34.8,66.2,No bed net,34.8 +Never taker,Treatment,0,0,34.6,36.7,No bed net,34.6 +Complier,Treatment,0,1,30.9,67.9,Bed net,67.9 +Complier,Control,0,1,47,35.1,No bed net,47 +Complier,Treatment,0,1,46.4,65.9,Bed net,65.9 +Complier,Treatment,0,1,29.5,68.7,Bed net,68.7 +Always taker,Control,1,1,70.6,37.4,Bed net,37.4 +Never taker,Control,0,0,45.8,46,No bed net,45.8 +Never taker,Control,0,0,57.3,35.8,No bed net,57.3 +Complier,Control,0,1,32.9,53.4,No bed net,32.9 +Complier,Control,0,1,53.8,30.9,No bed net,53.8 +Always taker,Control,1,1,51.3,54.4,Bed net,54.4 +Complier,Control,0,1,40.6,27.9,No bed net,40.6 +Never taker,Treatment,0,0,42.8,75.8,No bed net,42.8 +Never taker,Treatment,0,0,30.8,32.6,No bed net,30.8 +Complier,Treatment,0,1,43.4,50.1,Bed net,50.1 +Complier,Treatment,0,1,45.2,42.1,Bed net,42.1 +Complier,Control,0,1,36.8,55.8,No bed net,36.8 +Never taker,Control,0,0,41.7,40,No bed net,41.7 +Complier,Control,0,1,46.1,38.4,No bed net,46.1 +Never taker,Treatment,0,0,34.4,36.4,No bed net,34.4 +Never taker,Control,0,0,37.5,23.4,No bed net,37.5 +Never taker,Control,0,0,35.6,33.3,No bed net,35.6 +Never taker,Control,0,0,25.6,49.9,No bed net,25.6 +Never taker,Control,0,0,26.5,71.4,No bed net,26.5 +Complier,Treatment,0,1,38.1,63.5,Bed net,63.5 +Never taker,Control,0,0,55.7,34.5,No bed net,55.7 +Never taker,Treatment,0,0,36.8,12.6,No bed net,36.8 +Never taker,Treatment,0,0,62.8,41.6,No bed net,62.8 +Never taker,Treatment,0,0,24.8,33,No bed net,24.8 +Always taker,Control,1,1,45.5,64.1,Bed net,64.1 +Complier,Treatment,0,1,42.8,43.9,Bed net,43.9 +Never taker,Control,0,0,33.2,35.1,No bed net,33.2 +Never taker,Control,0,0,46.1,46.6,No bed net,46.1 +Always taker,Control,1,1,59.9,78.7,Bed net,78.7 +Complier,Treatment,0,1,29,64.8,Bed net,64.8 +Complier,Treatment,0,1,43.1,64.4,Bed net,64.4 +Complier,Control,0,1,35.7,82.6,No bed net,35.7 +Never taker,Control,0,0,26.5,43.7,No bed net,26.5 +Always taker,Control,1,1,45.5,61.3,Bed net,61.3 +Never taker,Treatment,0,0,48.8,33.8,No bed net,48.8 +Never taker,Treatment,0,0,47.6,19.3,No bed net,47.6 +Never taker,Treatment,0,0,48.5,41.8,No bed net,48.5 +Never taker,Control,0,0,33.5,29.1,No bed net,33.5 +Complier,Control,0,1,45.3,68.2,No bed net,45.3 +Always taker,Treatment,1,1,35.5,55.8,Bed net,55.8 +Never taker,Control,0,0,54.2,45.3,No bed net,54.2 +Complier,Treatment,0,1,46,89.1,Bed net,89.1 +Complier,Treatment,0,1,47.3,62,Bed net,62 +Complier,Treatment,0,1,48.9,28.7,Bed net,28.7 +Never taker,Control,0,0,37.8,37.8,No bed net,37.8 +Complier,Control,0,1,32.8,69.8,No bed net,32.8 +Never taker,Treatment,0,0,44.8,51.8,No bed net,44.8 +Complier,Treatment,0,1,23.3,62.9,Bed net,62.9 +Complier,Control,0,1,39.9,24.5,No bed net,39.9 +Complier,Treatment,0,1,38.2,58.6,Bed net,58.6 +Never taker,Control,0,0,36.7,38.8,No bed net,36.7 +Never taker,Treatment,0,0,22.5,41.9,No bed net,22.5 +Always taker,Treatment,1,1,54.3,72.8,Bed net,72.8 +Never taker,Treatment,0,0,40.9,43.6,No bed net,40.9 +Never taker,Control,0,0,49.5,46,No bed net,49.5 +Never taker,Control,0,0,29.6,40.1,No bed net,29.6 +Never taker,Control,0,0,33.5,40.6,No bed net,33.5 +Complier,Control,0,1,28,58,No bed net,28 +Never taker,Treatment,0,0,43,30.6,No bed net,43 +Always taker,Control,1,1,66.5,67.6,Bed net,67.6 +Complier,Control,0,1,39.5,35.5,No bed net,39.5 +Always taker,Treatment,1,1,55.7,64.5,Bed net,64.5 +Never taker,Control,0,0,33.6,27.5,No bed net,33.6 +Always taker,Control,1,1,66.9,57.9,Bed net,57.9 +Complier,Treatment,0,1,35.8,39.5,Bed net,39.5 +Complier,Control,0,1,46.8,42.5,No bed net,46.8 +Never taker,Control,0,0,57.5,38.4,No bed net,57.5 +Complier,Control,0,1,28.7,41.3,No bed net,28.7 +Complier,Control,0,1,49.4,45.7,No bed net,49.4 +Always taker,Control,1,1,75.2,53.2,Bed net,53.2 +Complier,Treatment,0,1,45.4,49.5,Bed net,49.5 +Always taker,Treatment,1,1,47.5,59.7,Bed net,59.7 +Complier,Treatment,0,1,25.4,63.6,Bed net,63.6 +Never taker,Treatment,0,0,43.5,32.3,No bed net,43.5 +Always taker,Control,1,1,51.5,71.3,Bed net,71.3 +Never taker,Treatment,0,0,23,52.9,No bed net,23 +Complier,Control,0,1,43,38.3,No bed net,43 +Complier,Treatment,0,1,40.9,43.5,Bed net,43.5 +Never taker,Control,0,0,22,46.4,No bed net,22 +Complier,Treatment,0,1,46,45.4,Bed net,45.4 +Always taker,Control,1,1,70.3,46.3,Bed net,46.3 +Never taker,Control,0,0,37.7,32.4,No bed net,37.7 +Never taker,Treatment,0,0,30.3,35.7,No bed net,30.3 +Never taker,Treatment,0,0,46.4,41.8,No bed net,46.4 +Complier,Control,0,1,53.1,53.6,No bed net,53.1 +Never taker,Control,0,0,33.5,31.6,No bed net,33.5 +Always taker,Control,1,1,58.3,47.4,Bed net,47.4 +Complier,Treatment,0,1,32.3,64.7,Bed net,64.7 +Complier,Control,0,1,40.1,46.7,No bed net,40.1 +Complier,Control,0,1,36.1,68.1,No bed net,36.1 +Always taker,Treatment,1,1,60,53.6,Bed net,53.6 +Always taker,Control,1,1,67.1,55.4,Bed net,55.4 +Complier,Control,0,1,50.4,40.3,No bed net,50.4 +Always taker,Control,1,1,60.5,60.3,Bed net,60.3 +Never taker,Control,0,0,36.8,18.1,No bed net,36.8 +Never taker,Control,0,0,37.5,38.6,No bed net,37.5 +Never taker,Treatment,0,0,43.4,27.1,No bed net,43.4 +Never taker,Control,0,0,26,30.1,No bed net,26 +Never taker,Control,0,0,29.3,47.6,No bed net,29.3 +Never taker,Treatment,0,0,48.6,39.4,No bed net,48.6 +Complier,Treatment,0,1,39.9,50.6,Bed net,50.6 +Complier,Control,0,1,34.2,61.4,No bed net,34.2 +Never taker,Treatment,0,0,48.3,74.8,No bed net,48.3 +Always taker,Treatment,1,1,53.1,53.7,Bed net,53.7 +Complier,Treatment,0,1,42.1,45.1,Bed net,45.1 +Never taker,Treatment,0,0,34.9,39.6,No bed net,34.9 +Never taker,Treatment,0,0,20.7,38.3,No bed net,20.7 +Never taker,Control,0,0,31.3,41.2,No bed net,31.3 +Always taker,Control,1,1,55.2,53.5,Bed net,53.5 +Complier,Control,0,1,37.1,46.3,No bed net,37.1 +Always taker,Treatment,1,1,32.9,65,Bed net,65 +Complier,Treatment,0,1,36.8,57,Bed net,57 +Never taker,Control,0,0,45.5,45,No bed net,45.5 +Complier,Treatment,0,1,35.6,58.8,Bed net,58.8 +Complier,Control,0,1,39.6,56,No bed net,39.6 +Complier,Control,0,1,33.6,34.8,No bed net,33.6 +Never taker,Control,0,0,35,37.6,No bed net,35 +Complier,Control,0,1,28.9,43,No bed net,28.9 +Never taker,Treatment,0,0,26.5,29.3,No bed net,26.5 +Always taker,Treatment,1,1,42.6,57.7,Bed net,57.7 +Never taker,Control,0,0,23.7,31.5,No bed net,23.7 +Never taker,Treatment,0,0,41.3,26.6,No bed net,41.3 +Complier,Treatment,0,1,40.8,54.8,Bed net,54.8 +Never taker,Control,0,0,39.8,28.2,No bed net,39.8 +Complier,Treatment,0,1,41.5,46.9,Bed net,46.9 +Always taker,Control,1,1,66.3,47.8,Bed net,47.8 +Always taker,Treatment,1,1,48.1,64.4,Bed net,64.4 +Never taker,Control,0,0,23.7,28.5,No bed net,23.7 +Never taker,Treatment,0,0,27.3,47,No bed net,27.3 +Never taker,Control,0,0,41.1,49.3,No bed net,41.1 +Never taker,Control,0,0,26.8,48.3,No bed net,26.8 +Always taker,Treatment,1,1,56.2,51.8,Bed net,51.8 +Always taker,Treatment,1,1,59.3,28.7,Bed net,28.7 +Never taker,Control,0,0,45.7,36.3,No bed net,45.7 +Complier,Control,0,1,43.9,68.3,No bed net,43.9 +Never taker,Treatment,0,0,53,17.7,No bed net,53 +Complier,Control,0,1,28,65.2,No bed net,28 +Never taker,Control,0,0,38.8,21.1,No bed net,38.8 +Never taker,Control,0,0,43.7,37.4,No bed net,43.7 +Complier,Control,0,1,21.7,48.3,No bed net,21.7 +Complier,Control,0,1,29.2,55.8,No bed net,29.2 +Complier,Control,0,1,45.4,60.9,No bed net,45.4 +Complier,Control,0,1,46.1,69.7,No bed net,46.1 +Complier,Control,0,1,41.7,63.6,No bed net,41.7 +Complier,Control,0,1,40.6,80.3,No bed net,40.6 +Never taker,Control,0,0,51.9,34.2,No bed net,51.9 +Never taker,Control,0,0,32.3,41.5,No bed net,32.3 +Never taker,Control,0,0,37.3,54.7,No bed net,37.3 +Always taker,Treatment,1,1,67.5,53.2,Bed net,53.2 +Always taker,Treatment,1,1,51.1,65.6,Bed net,65.6 +Always taker,Control,1,1,62.4,42.5,Bed net,42.5 +Always taker,Treatment,1,1,53.9,57.5,Bed net,57.5 +Always taker,Control,1,1,52.2,49,Bed net,49 +Never taker,Control,0,0,29.6,53.9,No bed net,29.6 +Never taker,Control,0,0,34.9,53,No bed net,34.9 +Complier,Control,0,1,49,74.2,No bed net,49 +Never taker,Control,0,0,28.8,49,No bed net,28.8 +Never taker,Control,0,0,20.7,26.3,No bed net,20.7 +Never taker,Treatment,0,0,48.4,46.7,No bed net,48.4 +Complier,Treatment,0,1,44,66,Bed net,66 +Always taker,Control,1,1,60.9,62.9,Bed net,62.9 +Always taker,Treatment,1,1,40.4,53.9,Bed net,53.9 +Never taker,Treatment,0,0,48.4,33.1,No bed net,48.4 +Never taker,Control,0,0,30.2,38.2,No bed net,30.2 +Complier,Control,0,1,36.6,47.4,No bed net,36.6 +Never taker,Treatment,0,0,36.6,30.4,No bed net,36.6 +Complier,Treatment,0,1,24.5,61.6,Bed net,61.6 +Complier,Control,0,1,45.2,22.4,No bed net,45.2 +Complier,Treatment,0,1,42.2,44.1,Bed net,44.1 +Always taker,Treatment,1,1,56,51.2,Bed net,51.2 +Never taker,Control,0,0,32.2,22.9,No bed net,32.2 +Complier,Control,0,1,56.6,72,No bed net,56.6 +Always taker,Control,1,1,55,50.4,Bed net,50.4 +Complier,Treatment,0,1,40.2,69,Bed net,69 +Never taker,Treatment,0,0,25.8,34.3,No bed net,25.8 +Never taker,Treatment,0,0,34.1,36.5,No bed net,34.1 +Never taker,Control,0,0,41.6,19,No bed net,41.6 +Always taker,Control,1,1,45.4,54.9,Bed net,54.9 +Complier,Control,0,1,47.7,62.9,No bed net,47.7 +Never taker,Treatment,0,0,6.2,47.6,No bed net,6.2 +Always taker,Treatment,1,1,43.7,40.4,Bed net,40.4 +Complier,Control,0,1,43.7,82.7,No bed net,43.7 +Complier,Treatment,0,1,36.6,54.8,Bed net,54.8 +Complier,Treatment,0,1,46.2,65,Bed net,65 +Complier,Control,0,1,28,32.6,No bed net,28 +Never taker,Treatment,0,0,38.7,18.3,No bed net,38.7 +Always taker,Treatment,1,1,56.4,54.6,Bed net,54.6 +Always taker,Treatment,1,1,48,57.9,Bed net,57.9 +Complier,Treatment,0,1,30.7,41.5,Bed net,41.5 +Complier,Control,0,1,29.7,61.6,No bed net,29.7 +Complier,Control,0,1,36.6,53.3,No bed net,36.6 +Always taker,Treatment,1,1,52.3,56.8,Bed net,56.8 +Always taker,Control,1,1,63.1,59.6,Bed net,59.6 +Complier,Control,0,1,36.2,65.9,No bed net,36.2 +Complier,Control,0,1,39.3,45.8,No bed net,39.3 +Always taker,Control,1,1,47.3,46,Bed net,46 +Never taker,Treatment,0,0,18.8,61.9,No bed net,18.8 +Complier,Control,0,1,34.6,55.7,No bed net,34.6 +Complier,Treatment,0,1,32,46.1,Bed net,46.1 +Complier,Control,0,1,29,52.9,No bed net,29 +Never taker,Treatment,0,0,44.9,36.1,No bed net,44.9 +Complier,Treatment,0,1,38.3,44.7,Bed net,44.7 +Never taker,Control,0,0,43.2,27.2,No bed net,43.2 +Never taker,Treatment,0,0,58.4,37.7,No bed net,58.4 +Complier,Treatment,0,1,45.5,70,Bed net,70 +Complier,Treatment,0,1,44.3,81.7,Bed net,81.7 +Never taker,Control,0,0,58.3,31.3,No bed net,58.3 +Never taker,Control,0,0,18,44.8,No bed net,18 +Complier,Treatment,0,1,35.1,61.1,Bed net,61.1 +Never taker,Control,0,0,37,11.9,No bed net,37 +Complier,Control,0,1,46.1,51.7,No bed net,46.1 +Never taker,Control,0,0,19,29.8,No bed net,19 +Never taker,Treatment,0,0,40.3,31.9,No bed net,40.3 +Always taker,Treatment,1,1,55.8,55.7,Bed net,55.7 +Always taker,Treatment,1,1,42.3,45.8,Bed net,45.8 +Complier,Treatment,0,1,42.2,49.2,Bed net,49.2 +Complier,Treatment,0,1,35.7,60,Bed net,60 +Never taker,Treatment,0,0,47.8,41.1,No bed net,47.8 +Always taker,Treatment,1,1,40.4,59.1,Bed net,59.1 +Never taker,Control,0,0,41.6,49.8,No bed net,41.6 +Complier,Control,0,1,43.9,61.3,No bed net,43.9 +Complier,Treatment,0,1,37.1,48.5,Bed net,48.5 +Never taker,Control,0,0,39.3,35.7,No bed net,39.3 +Never taker,Treatment,0,0,37.6,33.3,No bed net,37.6 +Complier,Control,0,1,33.6,70.5,No bed net,33.6 +Never taker,Treatment,0,0,37.3,66,No bed net,37.3 +Always taker,Treatment,1,1,53.6,53.3,Bed net,53.3 +Never taker,Treatment,0,0,26.9,42.9,No bed net,26.9 +Always taker,Treatment,1,1,54.9,72.6,Bed net,72.6 +Never taker,Treatment,0,0,42.6,37.5,No bed net,42.6 +Never taker,Treatment,0,0,60.6,18.4,No bed net,60.6 +Complier,Control,0,1,49,66.7,No bed net,49 +Complier,Treatment,0,1,33.5,72,Bed net,72 +Never taker,Control,0,0,52,16.8,No bed net,52 +Always taker,Treatment,1,1,53.2,64.3,Bed net,64.3 +Never taker,Treatment,0,0,57.4,33.1,No bed net,57.4 +Complier,Treatment,0,1,35.6,26.5,Bed net,26.5 +Never taker,Treatment,0,0,19.9,45,No bed net,19.9 +Complier,Treatment,0,1,49,74.2,Bed net,74.2 +Complier,Control,0,1,43.3,70.1,No bed net,43.3 +Never taker,Control,0,0,33.4,41.4,No bed net,33.4 +Complier,Treatment,0,1,40,45.9,Bed net,45.9 +Never taker,Treatment,0,0,36.9,45.9,No bed net,36.9 +Complier,Treatment,0,1,44.8,64.8,Bed net,64.8 +Complier,Control,0,1,27.9,76.6,No bed net,27.9 +Never taker,Treatment,0,0,44.6,55.1,No bed net,44.6 +Complier,Treatment,0,1,45.4,36.7,Bed net,36.7 +Never taker,Control,0,0,35,11.7,No bed net,35 +Always taker,Control,1,1,54.6,61.2,Bed net,61.2 +Never taker,Treatment,0,0,15.9,27.2,No bed net,15.9 +Never taker,Treatment,0,0,49,23.3,No bed net,49 +Never taker,Control,0,0,58.2,42.2,No bed net,58.2 +Never taker,Treatment,0,0,25.1,29.7,No bed net,25.1 +Never taker,Control,0,0,40.2,34.5,No bed net,40.2 +Complier,Control,0,1,33.8,70.7,No bed net,33.8 +Never taker,Control,0,0,23.7,37.5,No bed net,23.7 +Complier,Treatment,0,1,34.2,56.3,Bed net,56.3 +Never taker,Control,0,0,27.8,31.6,No bed net,27.8 +Complier,Treatment,0,1,49.6,41.6,Bed net,41.6 +Complier,Treatment,0,1,29.6,50.6,Bed net,50.6 +Complier,Control,0,1,45.5,48.1,No bed net,45.5 +Never taker,Treatment,0,0,44.1,47.3,No bed net,44.1 +Never taker,Treatment,0,0,31.4,42,No bed net,31.4 +Complier,Control,0,1,35.8,46.1,No bed net,35.8 +Never taker,Treatment,0,0,33.8,20,No bed net,33.8 +Never taker,Treatment,0,0,29.9,36.9,No bed net,29.9 +Complier,Treatment,0,1,37.5,60.2,Bed net,60.2 +Complier,Treatment,0,1,35.4,42.6,Bed net,42.6 +Complier,Control,0,1,33.6,56.6,No bed net,33.6 +Always taker,Control,1,1,66.5,54.9,Bed net,54.9 +Never taker,Control,0,0,35.2,36.5,No bed net,35.2 +Complier,Control,0,1,27,43.8,No bed net,27 +Never taker,Treatment,0,0,25.1,45.4,No bed net,25.1 +Always taker,Control,1,1,55,71.7,Bed net,71.7 +Complier,Control,0,1,39.1,60.7,No bed net,39.1 +Complier,Control,0,1,37.9,57,No bed net,37.9 +Complier,Treatment,0,1,33.5,50,Bed net,50 +Never taker,Control,0,0,45.3,31.6,No bed net,45.3 +Complier,Treatment,0,1,48.7,51.5,Bed net,51.5 +Never taker,Treatment,0,0,28.6,51.3,No bed net,28.6 +Always taker,Control,1,1,53.7,52.6,Bed net,52.6 +Never taker,Control,0,0,41.5,46.7,No bed net,41.5 +Never taker,Treatment,0,0,51.4,49,No bed net,51.4 +Complier,Control,0,1,54.8,51.4,No bed net,54.8 +Never taker,Control,0,0,40.7,49.3,No bed net,40.7 +Complier,Treatment,0,1,41.1,58.8,Bed net,58.8 +Never taker,Control,0,0,43.3,29.9,No bed net,43.3 +Always taker,Control,1,1,82,36.9,Bed net,36.9 +Never taker,Control,0,0,22.9,26.1,No bed net,22.9 +Complier,Treatment,0,1,38.5,27.8,Bed net,27.8 +Never taker,Control,0,0,27.9,36.4,No bed net,27.9 +Complier,Treatment,0,1,26.5,68.7,Bed net,68.7 +Complier,Control,0,1,28,43.9,No bed net,28 +Never taker,Control,0,0,60.4,49.7,No bed net,60.4 +Always taker,Treatment,1,1,54.1,46.2,Bed net,46.2 +Never taker,Treatment,0,0,31,30.7,No bed net,31 +Complier,Treatment,0,1,36.5,27.2,Bed net,27.2 +Complier,Treatment,0,1,46.7,53,Bed net,53 +Complier,Control,0,1,51.2,45.7,No bed net,51.2 +Never taker,Control,0,0,71.1,51.9,No bed net,71.1 +Never taker,Control,0,0,22,34.8,No bed net,22 +Never taker,Treatment,0,0,48.3,33.6,No bed net,48.3 +Complier,Control,0,1,34.9,53.4,No bed net,34.9 +Never taker,Control,0,0,65.9,45.9,No bed net,65.9 +Complier,Treatment,0,1,55.6,55.5,Bed net,55.5 +Complier,Control,0,1,31.4,59.6,No bed net,31.4 +Never taker,Control,0,0,38.6,48.7,No bed net,38.6 +Complier,Control,0,1,29.4,31.3,No bed net,29.4 +Complier,Control,0,1,35.7,35.1,No bed net,35.7 +Complier,Control,0,1,39.2,63.9,No bed net,39.2 +Complier,Control,0,1,31.9,61.1,No bed net,31.9 +Always taker,Control,1,1,53.8,50.7,Bed net,50.7 +Never taker,Treatment,0,0,45.3,50.3,No bed net,45.3 +Complier,Treatment,0,1,37.4,67,Bed net,67 +Never taker,Control,0,0,14.9,33.5,No bed net,14.9 +Never taker,Treatment,0,0,37.6,33.5,No bed net,37.6 +Always taker,Treatment,1,1,53.9,44,Bed net,44 +Complier,Control,0,1,39.9,51.1,No bed net,39.9 +Complier,Treatment,0,1,43.7,66.5,Bed net,66.5 +Always taker,Control,1,1,71,30.9,Bed net,30.9 +Complier,Control,0,1,39.7,39.4,No bed net,39.7 +Complier,Control,0,1,19.4,74.6,No bed net,19.4 +Complier,Treatment,0,1,39.1,70.4,Bed net,70.4 +Always taker,Control,1,1,66.2,53.2,Bed net,53.2 +Never taker,Control,0,0,35.7,35.3,No bed net,35.7 +Complier,Treatment,0,1,31.1,65.6,Bed net,65.6 +Never taker,Treatment,0,0,26.4,28.7,No bed net,26.4 +Always taker,Treatment,1,1,68.8,34.1,Bed net,34.1 +Never taker,Treatment,0,0,51.3,48.9,No bed net,51.3 +Never taker,Treatment,0,0,20.5,53.6,No bed net,20.5 +Always taker,Control,1,1,54.7,55,Bed net,55 +Never taker,Treatment,0,0,32.5,44.5,No bed net,32.5 +Never taker,Control,0,0,42.2,41.7,No bed net,42.2 +Always taker,Control,1,1,64.4,37.5,Bed net,37.5 +Complier,Treatment,0,1,34.4,27.5,Bed net,27.5 +Always taker,Control,1,1,42.4,75.3,Bed net,75.3 +Always taker,Control,1,1,68.4,65.2,Bed net,65.2 +Never taker,Control,0,0,51.7,46.9,No bed net,51.7 +Always taker,Control,1,1,61.8,72.2,Bed net,72.2 +Complier,Treatment,0,1,38.3,92.3,Bed net,92.3 +Complier,Treatment,0,1,35.7,42.3,Bed net,42.3 +Never taker,Treatment,0,0,61.2,5.2,No bed net,61.2 +Never taker,Control,0,0,46.4,10.2,No bed net,46.4 +Complier,Treatment,0,1,41.3,53.8,Bed net,53.8 +Never taker,Treatment,0,0,53.7,13.6,No bed net,53.7 +Always taker,Treatment,1,1,50.5,43.9,Bed net,43.9 +Complier,Treatment,0,1,42.4,46.8,Bed net,46.8 +Always taker,Control,1,1,57.2,50.4,Bed net,50.4 +Complier,Treatment,0,1,36.1,57,Bed net,57 +Never taker,Control,0,0,38.9,42.4,No bed net,38.9 +Complier,Treatment,0,1,36.2,41,Bed net,41 +Complier,Treatment,0,1,36.4,51.7,Bed net,51.7 +Never taker,Control,0,0,34.3,23.2,No bed net,34.3 +Complier,Control,0,1,43.4,46.7,No bed net,43.4 +Complier,Treatment,0,1,44.9,36.9,Bed net,36.9 +Never taker,Treatment,0,0,35.7,42,No bed net,35.7 +Complier,Treatment,0,1,33.5,72.4,Bed net,72.4 +Never taker,Control,0,0,14.2,37.8,No bed net,14.2 +Always taker,Treatment,1,1,50.3,70.3,Bed net,70.3 +Complier,Treatment,0,1,40.4,58.4,Bed net,58.4 +Always taker,Treatment,1,1,55.4,57.7,Bed net,57.7 +Never taker,Control,0,0,28.2,43.5,No bed net,28.2 +Complier,Treatment,0,1,36.7,38.4,Bed net,38.4 +Never taker,Control,0,0,41,7.9,No bed net,41 +Never taker,Treatment,0,0,10.8,28.4,No bed net,10.8 +Never taker,Treatment,0,0,37.3,35.9,No bed net,37.3 +Complier,Control,0,1,25.8,55.9,No bed net,25.8 +Never taker,Control,0,0,35.4,26.9,No bed net,35.4 +Never taker,Control,0,0,52.5,27.3,No bed net,52.5 +Complier,Control,0,1,46.7,47.9,No bed net,46.7 +Complier,Control,0,1,55,35,No bed net,55 +Complier,Control,0,1,50.3,49.2,No bed net,50.3 +Never taker,Control,0,0,42.3,27.1,No bed net,42.3 +Never taker,Treatment,0,0,47.9,12.4,No bed net,47.9 +Complier,Treatment,0,1,39.9,44.1,Bed net,44.1 +Never taker,Control,0,0,33.9,39.4,No bed net,33.9 +Never taker,Control,0,0,61.8,42.5,No bed net,61.8 +Complier,Control,0,1,38.7,57.3,No bed net,38.7 +Never taker,Treatment,0,0,24.5,31.8,No bed net,24.5 +Never taker,Control,0,0,59.3,34.1,No bed net,59.3 +Complier,Control,0,1,28.3,34.7,No bed net,28.3 +Complier,Control,0,1,27.1,72.9,No bed net,27.1 +Never taker,Control,0,0,32.9,37.7,No bed net,32.9 +Complier,Control,0,1,22.5,60.4,No bed net,22.5 +Always taker,Control,1,1,48.1,63.8,Bed net,63.8 +Never taker,Treatment,0,0,29.5,69,No bed net,29.5 +Never taker,Treatment,0,0,44.1,32,No bed net,44.1 +Never taker,Treatment,0,0,35.3,36.4,No bed net,35.3 +Complier,Treatment,0,1,29.1,57.5,Bed net,57.5 +Complier,Treatment,0,1,28.4,73.2,Bed net,73.2 +Complier,Treatment,0,1,29.8,17.2,Bed net,17.2 +Never taker,Control,0,0,32.8,30.3,No bed net,32.8 +Never taker,Treatment,0,0,36,33.8,No bed net,36 +Complier,Control,0,1,32,61.7,No bed net,32 +Always taker,Treatment,1,1,59.4,52.1,Bed net,52.1 +Complier,Control,0,1,49.9,40.4,No bed net,49.9 +Never taker,Treatment,0,0,55.6,36.1,No bed net,55.6 +Never taker,Control,0,0,51,28.3,No bed net,51 +Never taker,Control,0,0,50,36,No bed net,50 +Complier,Treatment,0,1,27.5,41.1,Bed net,41.1 +Complier,Control,0,1,39.3,53.8,No bed net,39.3 +Never taker,Control,0,0,19.7,42.6,No bed net,19.7 +Never taker,Control,0,0,41.9,32,No bed net,41.9 +Complier,Control,0,1,40.1,67.6,No bed net,40.1 +Never taker,Control,0,0,27.8,51.9,No bed net,27.8 +Never taker,Control,0,0,34.3,62.8,No bed net,34.3 +Complier,Treatment,0,1,44.6,57.7,Bed net,57.7 +Never taker,Control,0,0,35.3,46.4,No bed net,35.3 +Never taker,Control,0,0,32.6,17.1,No bed net,32.6 +Never taker,Treatment,0,0,35.4,36.6,No bed net,35.4 +Complier,Control,0,1,37,48.3,No bed net,37 +Complier,Control,0,1,44.4,60.3,No bed net,44.4 +Never taker,Control,0,0,26.9,41.2,No bed net,26.9 +Never taker,Treatment,0,0,27.4,25.4,No bed net,27.4 +Never taker,Treatment,0,0,32.9,29,No bed net,32.9 +Complier,Control,0,1,49.5,30.5,No bed net,49.5 +Complier,Treatment,0,1,36.7,72.7,Bed net,72.7 +Complier,Control,0,1,37.5,45.3,No bed net,37.5 +Complier,Control,0,1,52.8,49.2,No bed net,52.8 +Complier,Control,0,1,39.9,55.3,No bed net,39.9 +Complier,Treatment,0,1,49.8,44,Bed net,44 +Always taker,Control,1,1,50.6,36.6,Bed net,36.6 +Complier,Control,0,1,29.5,67.3,No bed net,29.5 +Complier,Treatment,0,1,42.7,45.3,Bed net,45.3 +Never taker,Control,0,0,41.7,5.7,No bed net,41.7 +Complier,Control,0,1,39.9,46.5,No bed net,39.9 +Always taker,Control,1,1,45.4,55.4,Bed net,55.4 +Complier,Control,0,1,30.2,33.9,No bed net,30.2 +Complier,Control,0,1,41.1,46.6,No bed net,41.1 +Never taker,Control,0,0,33.1,35.9,No bed net,33.1 +Never taker,Treatment,0,0,14.7,47.1,No bed net,14.7 +Never taker,Treatment,0,0,24.6,24.7,No bed net,24.6 +Complier,Treatment,0,1,33.8,57.3,Bed net,57.3 +Always taker,Control,1,1,46.8,60.1,Bed net,60.1 +Complier,Control,0,1,38.2,67.3,No bed net,38.2 +Never taker,Control,0,0,31,40.5,No bed net,31 +Never taker,Control,0,0,49.1,30,No bed net,49.1 +Complier,Treatment,0,1,32.2,61.2,Bed net,61.2 +Complier,Treatment,0,1,31.2,42.1,Bed net,42.1 +Complier,Control,0,1,39.5,34.1,No bed net,39.5 +Complier,Treatment,0,1,36.2,54.8,Bed net,54.8 +Complier,Treatment,0,1,32,47.8,Bed net,47.8 +Always taker,Treatment,1,1,39.2,60.6,Bed net,60.6 +Complier,Treatment,0,1,32.4,83.4,Bed net,83.4 +Always taker,Treatment,1,1,54.6,48.9,Bed net,48.9 +Never taker,Control,0,0,29.4,14.1,No bed net,29.4 +Never taker,Treatment,0,0,41,54.7,No bed net,41 +Always taker,Treatment,1,1,43.6,44.2,Bed net,44.2 +Never taker,Treatment,0,0,34.1,39.4,No bed net,34.1 +Never taker,Control,0,0,54,29.1,No bed net,54 +Never taker,Treatment,0,0,63.6,25.9,No bed net,63.6 +Never taker,Treatment,0,0,37.5,56.1,No bed net,37.5 +Never taker,Treatment,0,0,37.6,70.4,No bed net,37.6 +Complier,Control,0,1,42.2,29,No bed net,42.2 +Always taker,Treatment,1,1,63.6,71.8,Bed net,71.8 +Complier,Control,0,1,30.8,33.1,No bed net,30.8 +Always taker,Treatment,1,1,52.6,63,Bed net,63 +Complier,Control,0,1,36.5,33.5,No bed net,36.5 +Always taker,Control,1,1,72.3,67.4,Bed net,67.4 +Never taker,Treatment,0,0,57,46.7,No bed net,57 +Never taker,Treatment,0,0,41,30.7,No bed net,41 +Complier,Control,0,1,43.3,52.4,No bed net,43.3 +Complier,Treatment,0,1,28.8,37.5,Bed net,37.5 +Complier,Treatment,0,1,37.8,59.6,Bed net,59.6 +Always taker,Control,1,1,46.3,48.9,Bed net,48.9 +Complier,Control,0,1,41.8,50.4,No bed net,41.8 +Complier,Treatment,0,1,46.3,58.5,Bed net,58.5 +Always taker,Treatment,1,1,63.8,53.8,Bed net,53.8 +Never taker,Control,0,0,36,37.3,No bed net,36 +Complier,Treatment,0,1,34.2,59.1,Bed net,59.1 +Always taker,Treatment,1,1,65.7,49.5,Bed net,49.5 +Complier,Control,0,1,37.5,50.6,No bed net,37.5 +Complier,Control,0,1,34.5,84.5,No bed net,34.5 +Complier,Treatment,0,1,38.5,62.8,Bed net,62.8 +Complier,Treatment,0,1,41.9,64.8,Bed net,64.8 +Never taker,Treatment,0,0,31.9,25.2,No bed net,31.9 +Never taker,Control,0,0,43.1,17.8,No bed net,43.1 +Complier,Treatment,0,1,34.9,51.6,Bed net,51.6 +Always taker,Treatment,1,1,57.8,45.3,Bed net,45.3 +Never taker,Treatment,0,0,39.3,63.4,No bed net,39.3 +Complier,Control,0,1,57.4,51.1,No bed net,57.4 +Complier,Control,0,1,43.9,34.8,No bed net,43.9 +Complier,Treatment,0,1,34.6,36.6,Bed net,36.6 +Complier,Treatment,0,1,36.1,73.2,Bed net,73.2 +Always taker,Control,1,1,65.7,65.4,Bed net,65.4 +Never taker,Treatment,0,0,46.7,40.1,No bed net,46.7 +Complier,Treatment,0,1,41.3,70.7,Bed net,70.7 +Never taker,Control,0,0,35.7,41,No bed net,35.7 +Never taker,Treatment,0,0,31.6,36.2,No bed net,31.6 +Complier,Treatment,0,1,27.5,52.8,Bed net,52.8 +Never taker,Treatment,0,0,49.6,23.8,No bed net,49.6 +Never taker,Treatment,0,0,35.2,42.2,No bed net,35.2 +Never taker,Treatment,0,0,37.8,43.8,No bed net,37.8 +Never taker,Control,0,0,54.9,46.8,No bed net,54.9 +Complier,Control,0,1,32.3,82.3,No bed net,32.3 +Never taker,Treatment,0,0,47.3,20.3,No bed net,47.3 +Never taker,Control,0,0,14.1,22.3,No bed net,14.1 +Always taker,Control,1,1,42.9,52.7,Bed net,52.7 +Always taker,Control,1,1,44.8,59.1,Bed net,59.1 +Complier,Treatment,0,1,45.1,47,Bed net,47 +Complier,Treatment,0,1,31.2,47.9,Bed net,47.9 +Complier,Treatment,0,1,43,79.2,Bed net,79.2 +Complier,Treatment,0,1,29.6,87.3,Bed net,87.3 +Never taker,Treatment,0,0,40.5,36.3,No bed net,40.5 +Complier,Control,0,1,36.6,60.3,No bed net,36.6 +Always taker,Control,1,1,74.5,61.8,Bed net,61.8 +Never taker,Control,0,0,31,41.7,No bed net,31 +Always taker,Treatment,1,1,61.9,53.9,Bed net,53.9 +Complier,Treatment,0,1,34.5,42.6,Bed net,42.6 +Complier,Treatment,0,1,44.1,73.4,Bed net,73.4 +Never taker,Treatment,0,0,44.1,19.3,No bed net,44.1 +Never taker,Treatment,0,0,31.6,43.8,No bed net,31.6 +Complier,Control,0,1,39.9,79.1,No bed net,39.9 +Always taker,Treatment,1,1,60.4,55.5,Bed net,55.5 +Never taker,Treatment,0,0,36.5,41.4,No bed net,36.5 +Complier,Control,0,1,19.6,45.9,No bed net,19.6 +Never taker,Treatment,0,0,57.1,36.3,No bed net,57.1 +Never taker,Treatment,0,0,62.8,31.6,No bed net,62.8 +Never taker,Treatment,0,0,28.8,31.2,No bed net,28.8 +Never taker,Treatment,0,0,46.2,29.8,No bed net,46.2 +Always taker,Control,1,1,51.1,38.4,Bed net,38.4 +Always taker,Treatment,1,1,49.4,47.4,Bed net,47.4 +Never taker,Control,0,0,51.6,56.4,No bed net,51.6 +Complier,Treatment,0,1,23.2,100,Bed net,100 +Never taker,Control,0,0,49.3,34.9,No bed net,49.3 +Never taker,Control,0,0,62,40.9,No bed net,62 +Complier,Control,0,1,43.9,40.6,No bed net,43.9 +Never taker,Control,0,0,45.2,38.9,No bed net,45.2 +Never taker,Control,0,0,45.2,57.5,No bed net,45.2 +Never taker,Treatment,0,0,41.4,19.4,No bed net,41.4 +Never taker,Treatment,0,0,24,20.4,No bed net,24 +Never taker,Control,0,0,52.3,33.1,No bed net,52.3 +Complier,Control,0,1,46.8,26.9,No bed net,46.8 +Never taker,Treatment,0,0,39.8,64,No bed net,39.8 +Complier,Treatment,0,1,49.6,46.7,Bed net,46.7 +Never taker,Control,0,0,31.4,14.4,No bed net,31.4 +Never taker,Treatment,0,0,29.1,34.9,No bed net,29.1 +Complier,Treatment,0,1,49.4,60.2,Bed net,60.2 +Complier,Control,0,1,39.4,51,No bed net,39.4 +Complier,Control,0,1,31.3,76.8,No bed net,31.3 +Complier,Treatment,0,1,31.3,71.3,Bed net,71.3 +Never taker,Control,0,0,52.8,51.1,No bed net,52.8 +Complier,Treatment,0,1,40.5,48.4,Bed net,48.4 +Complier,Control,0,1,40.4,47.7,No bed net,40.4 +Never taker,Treatment,0,0,24.7,44,No bed net,24.7 +Never taker,Control,0,0,48,37.9,No bed net,48 +Never taker,Treatment,0,0,41.5,38.7,No bed net,41.5 +Always taker,Control,1,1,55.7,38.3,Bed net,38.3 +Complier,Control,0,1,44.7,52.1,No bed net,44.7 +Always taker,Control,1,1,55.9,48.1,Bed net,48.1 +Always taker,Treatment,1,1,65.7,45.8,Bed net,45.8 +Always taker,Control,1,1,51.1,43.9,Bed net,43.9 +Never taker,Control,0,0,40.6,52.1,No bed net,40.6 +Complier,Treatment,0,1,36.5,53.3,Bed net,53.3 +Never taker,Control,0,0,45.9,36.3,No bed net,45.9 +Never taker,Control,0,0,44.6,58.6,No bed net,44.6 +Complier,Control,0,1,25.5,61.1,No bed net,25.5 +Complier,Treatment,0,1,43.3,38.2,Bed net,38.2 +Complier,Treatment,0,1,30,56.6,Bed net,56.6 +Never taker,Treatment,0,0,51.4,51.2,No bed net,51.4 +Never taker,Treatment,0,0,39,45.2,No bed net,39 +Complier,Control,0,1,30.4,73,No bed net,30.4 +Always taker,Treatment,1,1,58.5,47,Bed net,47 +Complier,Treatment,0,1,43.8,40.6,Bed net,40.6 +Always taker,Control,1,1,57.2,48.5,Bed net,48.5 +Complier,Treatment,0,1,41.5,57.5,Bed net,57.5 +Never taker,Control,0,0,41.9,40.4,No bed net,41.9 +Complier,Control,0,1,34.6,59.8,No bed net,34.6 +Always taker,Control,1,1,59.8,33.2,Bed net,33.2 +Complier,Control,0,1,43.5,69.8,No bed net,43.5 +Never taker,Control,0,0,33.4,47.8,No bed net,33.4 +Never taker,Control,0,0,41.9,27.5,No bed net,41.9 +Complier,Control,0,1,41.7,67.5,No bed net,41.7 +Never taker,Treatment,0,0,27.6,29.9,No bed net,27.6 +Never taker,Treatment,0,0,37,24.9,No bed net,37 +Never taker,Treatment,0,0,33.7,49.6,No bed net,33.7 +Never taker,Treatment,0,0,50.3,51.6,No bed net,50.3 +Never taker,Control,0,0,34.9,44.2,No bed net,34.9 +Never taker,Control,0,0,39.4,32.7,No bed net,39.4 +Never taker,Treatment,0,0,41.3,49.7,No bed net,41.3 +Complier,Control,0,1,33.9,42.3,No bed net,33.9 +Always taker,Treatment,1,1,61.3,44.7,Bed net,44.7 +Never taker,Control,0,0,7.7,28.3,No bed net,7.7 +Complier,Treatment,0,1,42.8,60.8,Bed net,60.8 +Never taker,Control,0,0,35,29.4,No bed net,35 +Complier,Treatment,0,1,34.1,52,Bed net,52 +Complier,Treatment,0,1,33.5,51.1,Bed net,51.1 +Always taker,Treatment,1,1,52,52.5,Bed net,52.5 +Never taker,Control,0,0,22.6,56.4,No bed net,22.6 +Complier,Control,0,1,37.2,49.9,No bed net,37.2 +Complier,Control,0,1,34.8,50,No bed net,34.8 +Complier,Treatment,0,1,32.9,45.2,Bed net,45.2 +Never taker,Treatment,0,0,40.9,50.2,No bed net,40.9 +Complier,Treatment,0,1,15.1,52.8,Bed net,52.8 +Complier,Treatment,0,1,24.8,55.9,Bed net,55.9 +Always taker,Treatment,1,1,53.5,52.6,Bed net,52.6 +Complier,Control,0,1,46,47.6,No bed net,46 +Always taker,Control,1,1,63.3,71.5,Bed net,71.5 +Complier,Control,0,1,30.7,30.8,No bed net,30.7 +Never taker,Control,0,0,56.6,49.3,No bed net,56.6 +Never taker,Treatment,0,0,41,46,No bed net,41 +Complier,Control,0,1,38.1,31.4,No bed net,38.1 +Complier,Control,0,1,29.5,47.9,No bed net,29.5 +Complier,Control,0,1,43.4,58.4,No bed net,43.4 +Complier,Treatment,0,1,30.2,59,Bed net,59 +Never taker,Treatment,0,0,15.3,29.5,No bed net,15.3 +Complier,Treatment,0,1,45.3,53.8,Bed net,53.8 +Complier,Control,0,1,43.1,66.2,No bed net,43.1 +Always taker,Treatment,1,1,48.3,72.6,Bed net,72.6 +Always taker,Control,1,1,51.3,53.6,Bed net,53.6 +Never taker,Control,0,0,44.1,37.6,No bed net,44.1 +Never taker,Treatment,0,0,39.3,63.1,No bed net,39.3 +Complier,Control,0,1,39.4,54.1,No bed net,39.4 +Never taker,Treatment,0,0,35.2,27.9,No bed net,35.2 +Complier,Treatment,0,1,42.6,31.5,Bed net,31.5 +Never taker,Treatment,0,0,39.2,30.4,No bed net,39.2 +Always taker,Treatment,1,1,59.6,55.7,Bed net,55.7 +Always taker,Control,1,1,60,43.5,Bed net,43.5 +Complier,Control,0,1,49.9,28.6,No bed net,49.9 +Never taker,Treatment,0,0,46.8,59.2,No bed net,46.8 +Never taker,Control,0,0,50.6,27.8,No bed net,50.6 +Complier,Treatment,0,1,40.2,44.8,Bed net,44.8 +Complier,Treatment,0,1,43,80.7,Bed net,80.7 +Complier,Treatment,0,1,51.1,47,Bed net,47 +Complier,Control,0,1,41.7,82,No bed net,41.7 +Complier,Control,0,1,37.6,55.2,No bed net,37.6 +Never taker,Treatment,0,0,25.1,42.5,No bed net,25.1 +Never taker,Treatment,0,0,23.2,40,No bed net,23.2 +Never taker,Control,0,0,52.2,31.7,No bed net,52.2 +Never taker,Treatment,0,0,33.7,18,No bed net,33.7 +Complier,Control,0,1,37.9,39.2,No bed net,37.9 +Never taker,Control,0,0,30.2,44.5,No bed net,30.2 +Always taker,Treatment,1,1,51.6,72.9,Bed net,72.9 +Never taker,Treatment,0,0,35.3,27.1,No bed net,35.3 +Complier,Treatment,0,1,43,63.4,Bed net,63.4 +Complier,Control,0,1,29.8,44.9,No bed net,29.8 +Never taker,Control,0,0,41.2,26.3,No bed net,41.2 +Complier,Treatment,0,1,42.8,39.2,Bed net,39.2 +Always taker,Control,1,1,64.2,59.9,Bed net,59.9 +Never taker,Control,0,0,12.6,23.6,No bed net,12.6 +Never taker,Control,0,0,21.2,45.9,No bed net,21.2 +Always taker,Treatment,1,1,67.1,51.7,Bed net,51.7 +Never taker,Treatment,0,0,32.9,27.7,No bed net,32.9 +Complier,Control,0,1,42.6,39.9,No bed net,42.6 +Never taker,Treatment,0,0,15.5,38.4,No bed net,15.5 +Complier,Treatment,0,1,28.8,51.6,Bed net,51.6 +Never taker,Control,0,0,30.6,46,No bed net,30.6 +Complier,Control,0,1,41.4,35.9,No bed net,41.4 +Always taker,Treatment,1,1,45.8,26.2,Bed net,26.2 +Complier,Control,0,1,27.5,44,No bed net,27.5 +Always taker,Control,1,1,71.3,44.6,Bed net,44.6 +Always taker,Treatment,1,1,63.1,40.5,Bed net,40.5 +Complier,Treatment,0,1,43.4,58.8,Bed net,58.8 +Always taker,Control,1,1,60.4,57.4,Bed net,57.4 +Complier,Treatment,0,1,35.4,67.5,Bed net,67.5 +Never taker,Treatment,0,0,37.8,15.7,No bed net,37.8 +Complier,Control,0,1,42.8,42.7,No bed net,42.8 +Complier,Treatment,0,1,47.2,50,Bed net,50 +Complier,Control,0,1,36.2,54.1,No bed net,36.2 +Always taker,Control,1,1,46.1,36.7,Bed net,36.7 +Complier,Control,0,1,28.8,37.8,No bed net,28.8 +Always taker,Control,1,1,59.4,65.8,Bed net,65.8 +Complier,Control,0,1,23.6,70.9,No bed net,23.6 +Always taker,Control,1,1,86.7,62.8,Bed net,62.8 +Always taker,Treatment,1,1,56.4,70.7,Bed net,70.7 +Complier,Treatment,0,1,36.8,47,Bed net,47 +Complier,Treatment,0,1,46.8,49.3,Bed net,49.3 +Always taker,Treatment,1,1,46.1,77.7,Bed net,77.7 +Complier,Treatment,0,1,32.3,58.9,Bed net,58.9 +Never taker,Treatment,0,0,37.9,35.7,No bed net,37.9 +Never taker,Treatment,0,0,15.6,49.4,No bed net,15.6 +Never taker,Control,0,0,23.3,28.7,No bed net,23.3 +Always taker,Control,1,1,54.5,75.3,Bed net,75.3 +Complier,Control,0,1,43.7,10.4,No bed net,43.7 +Always taker,Treatment,1,1,64.6,61.1,Bed net,61.1 +Complier,Treatment,0,1,28.5,63.7,Bed net,63.7 +Never taker,Treatment,0,0,35.2,31.5,No bed net,35.2 +Never taker,Treatment,0,0,37.6,37,No bed net,37.6 +Complier,Treatment,0,1,35.9,52,Bed net,52 +Never taker,Control,0,0,30.5,22.8,No bed net,30.5 +Complier,Treatment,0,1,44.5,60.1,Bed net,60.1 +Complier,Control,0,1,53.4,47,No bed net,53.4 +Complier,Treatment,0,1,23.6,53.5,Bed net,53.5 +Complier,Control,0,1,44.2,53.9,No bed net,44.2 +Complier,Control,0,1,42.8,69.1,No bed net,42.8 +Always taker,Treatment,1,1,66,55.3,Bed net,55.3 +Never taker,Control,0,0,31.6,32.3,No bed net,31.6 +Complier,Control,0,1,41.5,66.2,No bed net,41.5 diff --git a/docs/files/data/generated_data/father_education.csv b/docs/files/data/generated_data/father_education.csv new file mode 100644 index 00000000..c77a5dd0 --- /dev/null +++ b/docs/files/data/generated_data/father_education.csv @@ -0,0 +1,1001 @@ 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+272,80.2,FALSE,No tutor,77 +273,85.9,FALSE,No tutor,66.7 +274,86.9,FALSE,No tutor,68.1 +275,75.3,FALSE,No tutor,64.6 +276,77.4,FALSE,No tutor,70.8 +277,85.2,FALSE,No tutor,71 +278,95.1,FALSE,No tutor,71.5 +279,77.3,FALSE,No tutor,68 +280,87.7,FALSE,No tutor,73.7 +281,53.7,TRUE,Tutor,60.6 +282,90.1,FALSE,No tutor,72.2 +283,52.5,TRUE,Tutor,64.9 +284,86.9,FALSE,No tutor,65.1 +285,72.5,FALSE,No tutor,59.4 +286,58.7,TRUE,Tutor,71.8 +287,85.3,FALSE,No tutor,76.8 +288,67,TRUE,Tutor,63.5 +289,79.2,FALSE,No tutor,70.6 +290,91.8,FALSE,No tutor,77.6 +291,82,FALSE,No tutor,55.3 +292,81.2,FALSE,No tutor,65 +293,88.8,FALSE,No tutor,73.4 +294,78.7,FALSE,No tutor,53 +295,71.7,FALSE,No tutor,52.4 +296,57.2,TRUE,Tutor,70.6 +297,52,TRUE,Tutor,65.4 +298,76,FALSE,No tutor,60.4 +299,51.4,TRUE,Tutor,69.7 +300,88.2,FALSE,No tutor,72 +301,98.3,FALSE,No tutor,74.3 +302,84.7,FALSE,No tutor,67.9 +303,85.3,FALSE,No tutor,65.9 +304,98.2,FALSE,No tutor,72.6 +305,66.8,TRUE,Tutor,60.8 +306,88.4,FALSE,No tutor,69.6 +307,81.3,FALSE,No tutor,71.6 +308,95.1,FALSE,No tutor,73.5 +309,89.4,FALSE,No tutor,71.3 +310,79.6,FALSE,No tutor,64.5 +311,57.7,TRUE,Tutor,50.9 +312,28.8,TRUE,Tutor,44.7 +313,77.9,FALSE,No tutor,54.3 +314,80.2,FALSE,No tutor,49.4 +315,85.2,FALSE,No tutor,76.6 +316,43.4,TRUE,Tutor,61.8 +317,93,FALSE,No tutor,75.6 +318,72.2,FALSE,No tutor,63.4 +319,78.5,FALSE,No tutor,67.1 +320,86.4,FALSE,No tutor,64.4 +321,94.6,FALSE,No tutor,80.8 +322,73.6,FALSE,No tutor,65.7 +323,78.4,FALSE,No tutor,68.3 +324,89,FALSE,No tutor,72.3 +325,75.5,FALSE,No tutor,67.2 +326,82.1,FALSE,No tutor,59.6 +327,87.3,FALSE,No tutor,66.7 +328,68.2,TRUE,Tutor,78.4 +329,82.9,FALSE,No tutor,58.5 +330,96.4,FALSE,No tutor,74.9 +331,99,FALSE,No tutor,68 +332,86.1,FALSE,No tutor,64.9 +333,60.2,TRUE,Tutor,60 +334,56.4,TRUE,Tutor,58.3 +335,72,FALSE,No tutor,64.2 +336,94.6,FALSE,No tutor,74.2 +337,74.1,FALSE,No tutor,68.6 +338,38.4,TRUE,Tutor,44.8 +339,99.8,FALSE,No tutor,77 +340,88.4,FALSE,No tutor,62.3 +341,53.1,TRUE,Tutor,63.1 +342,67.6,TRUE,Tutor,56.1 +343,61.5,TRUE,Tutor,58.6 +344,69.1,TRUE,Tutor,75.7 +345,67.3,TRUE,Tutor,69.1 +346,77.5,FALSE,No tutor,63.7 +347,89.8,FALSE,No tutor,67.7 +348,92.6,FALSE,No tutor,75.2 +349,77.2,FALSE,No tutor,68.1 +350,84.1,FALSE,No tutor,69 +351,89.6,FALSE,No tutor,60.1 +352,70,TRUE,Tutor,74.4 +353,75.1,FALSE,No tutor,62.1 +354,91.7,FALSE,No tutor,76.3 +355,85.3,FALSE,No tutor,72.1 +356,79,FALSE,No tutor,73.3 +357,93.9,FALSE,No tutor,65.5 +358,82.2,FALSE,No tutor,62.8 +359,87.6,FALSE,No tutor,74.7 +360,97.7,FALSE,No tutor,65.7 +361,82.2,FALSE,No tutor,79.6 +362,85.5,FALSE,No tutor,57.8 +363,86.4,FALSE,No tutor,57.5 +364,66.9,TRUE,Tutor,67.2 +365,75.3,FALSE,No tutor,66.5 +366,92.6,FALSE,No tutor,78.9 +367,70.8,FALSE,No tutor,66.6 +368,79.5,FALSE,No tutor,69.4 +369,74.9,FALSE,No tutor,67.2 +370,64.6,TRUE,Tutor,58.9 +371,75.8,FALSE,No tutor,68.3 +372,38.8,TRUE,Tutor,54.8 +373,75.8,FALSE,No tutor,62 +374,92.8,FALSE,No tutor,67.5 +375,92.5,FALSE,No tutor,77.8 +376,96.8,FALSE,No tutor,79 +377,88.7,FALSE,No tutor,72.5 +378,88,FALSE,No tutor,65.5 +379,86.4,FALSE,No tutor,68.9 +380,63,TRUE,Tutor,74.2 +381,92.9,FALSE,No tutor,72.1 +382,77.4,FALSE,No tutor,60.5 +383,68.5,TRUE,Tutor,72 +384,80,FALSE,No tutor,71.3 +385,74.8,FALSE,No tutor,69 +386,90.1,FALSE,No tutor,71.7 +387,93,FALSE,No tutor,68.7 +388,73,FALSE,No tutor,53.2 +389,83.9,FALSE,No tutor,75.8 +390,71.8,FALSE,No tutor,66.6 +391,71.1,FALSE,No tutor,72.6 +392,45.4,TRUE,Tutor,56.8 +393,83.9,FALSE,No tutor,61 +394,62.1,TRUE,Tutor,64 +395,86.9,FALSE,No tutor,57.8 +396,94.4,FALSE,No tutor,67.4 +397,92.4,FALSE,No tutor,75.5 +398,80.2,FALSE,No tutor,52.4 +399,76,FALSE,No tutor,59.4 +400,88.6,FALSE,No tutor,64.5 +401,73.7,FALSE,No tutor,68.3 +402,63.7,TRUE,Tutor,68.7 +403,93.1,FALSE,No tutor,79.8 +404,96.9,FALSE,No tutor,74 +405,92.9,FALSE,No tutor,59.5 +406,89.5,FALSE,No tutor,73.2 +407,82.3,FALSE,No tutor,65.6 +408,58.9,TRUE,Tutor,57.8 +409,72.9,FALSE,No tutor,71.6 +410,85.9,FALSE,No tutor,77 +411,78.4,FALSE,No tutor,70.7 +412,85.2,FALSE,No tutor,65.2 +413,54.4,TRUE,Tutor,61.6 +414,53.3,TRUE,Tutor,50.8 +415,92.1,FALSE,No tutor,79.4 +416,88,FALSE,No tutor,72.3 +417,95.7,FALSE,No tutor,63.5 +418,69.9,TRUE,Tutor,74.6 +419,73.6,FALSE,No tutor,63.7 +420,89,FALSE,No tutor,70.5 +421,64.3,TRUE,Tutor,66.8 +422,94.1,FALSE,No tutor,68.7 +423,91.6,FALSE,No tutor,64.9 +424,78.5,FALSE,No tutor,58.5 +425,68.1,TRUE,Tutor,62.8 +426,62.9,TRUE,Tutor,73 +427,56.4,TRUE,Tutor,63.4 +428,92.6,FALSE,No tutor,82.9 +429,63.4,TRUE,Tutor,65 +430,79.6,FALSE,No tutor,71.8 +431,81.6,FALSE,No tutor,76.4 +432,94.7,FALSE,No tutor,81.7 +433,68.4,TRUE,Tutor,64.7 +434,71.2,FALSE,No tutor,58.1 +435,78.1,FALSE,No tutor,58.3 +436,91.1,FALSE,No tutor,74.5 +437,89,FALSE,No tutor,68.1 +438,78,FALSE,No tutor,60.6 +439,54.9,TRUE,Tutor,63.1 +440,83.3,FALSE,No tutor,74.3 +441,89.3,FALSE,No tutor,59.9 +442,68.3,TRUE,Tutor,61.6 +443,69.7,TRUE,Tutor,71.3 +444,47.2,TRUE,Tutor,59.6 +445,42.4,TRUE,Tutor,58.5 +446,80.1,FALSE,No tutor,67 +447,77.8,FALSE,No tutor,64.3 +448,87.2,FALSE,No tutor,68.5 +449,89.1,FALSE,No tutor,67.7 +450,83.1,FALSE,No tutor,73.2 +451,73.7,FALSE,No tutor,72.8 +452,78.2,FALSE,No tutor,66.8 +453,74.2,FALSE,No tutor,56.3 +454,74.3,FALSE,No tutor,69 +455,63.3,TRUE,Tutor,66.5 +456,82,FALSE,No tutor,67.3 +457,37.2,TRUE,Tutor,64.1 +458,69.5,TRUE,Tutor,76 +459,92.3,FALSE,No tutor,62.9 +460,82.1,FALSE,No tutor,73.9 +461,67.9,TRUE,Tutor,74.4 +462,83.9,FALSE,No tutor,72.3 +463,71.4,FALSE,No tutor,50 +464,47.3,TRUE,Tutor,60.1 +465,86.9,FALSE,No tutor,63.9 +466,78.1,FALSE,No tutor,57.6 +467,85.9,FALSE,No tutor,70.8 +468,91.7,FALSE,No tutor,78.6 +469,96.5,FALSE,No tutor,71.9 +470,74.3,FALSE,No tutor,64.8 +471,65.9,TRUE,Tutor,55.3 +472,65.1,TRUE,Tutor,71.4 +473,93.8,FALSE,No tutor,74.2 +474,91.8,FALSE,No tutor,65.2 +475,91.9,FALSE,No tutor,75.8 +476,87.4,FALSE,No tutor,68.8 +477,74.8,FALSE,No tutor,58.3 +478,66.1,TRUE,Tutor,71.1 +479,57.2,TRUE,Tutor,71.8 +480,65.6,TRUE,Tutor,65.3 +481,87.5,FALSE,No tutor,70.9 +482,91.3,FALSE,No tutor,82.6 +483,82.4,FALSE,No tutor,64 +484,75.9,FALSE,No tutor,61.9 +485,63.1,TRUE,Tutor,70.4 +486,89.1,FALSE,No tutor,70.9 +487,72.5,FALSE,No tutor,65.3 +488,46.4,TRUE,Tutor,53.6 +489,89.6,FALSE,No tutor,79.9 +490,81.3,FALSE,No tutor,72.3 +491,96.1,FALSE,No tutor,76.4 +492,72.6,FALSE,No tutor,48.7 +493,86.8,FALSE,No tutor,69.6 +494,89.9,FALSE,No tutor,77.1 +495,88.4,FALSE,No tutor,55.7 +496,69.4,TRUE,Tutor,71.5 +497,97.8,FALSE,No tutor,69.3 +498,84.1,FALSE,No tutor,57.4 +499,90.7,FALSE,No tutor,67 +500,90.2,FALSE,No tutor,58.8 +501,68.7,TRUE,Tutor,75 +502,71.3,FALSE,No tutor,71.9 +503,79.5,FALSE,No tutor,71.6 +504,67.4,TRUE,Tutor,73 +505,86.4,FALSE,No tutor,66.3 +506,97.3,FALSE,No tutor,77.2 +507,81.4,FALSE,No tutor,60.9 +508,83.3,FALSE,No tutor,63.2 +509,75,FALSE,No tutor,56.8 +510,69.8,TRUE,Tutor,56.9 +511,57.9,TRUE,Tutor,73.3 +512,77,FALSE,No tutor,55.2 +513,85.2,FALSE,No tutor,69.6 +514,82.4,FALSE,No tutor,71.9 +515,60.6,TRUE,Tutor,76.3 +516,89.1,FALSE,No tutor,75.6 +517,90.2,FALSE,No tutor,72.4 +518,72.1,FALSE,No tutor,72.7 +519,65.7,TRUE,Tutor,70.6 +520,61.6,TRUE,Tutor,61.6 +521,77.6,FALSE,No tutor,72.5 +522,80.7,FALSE,No tutor,65.4 +523,53,TRUE,Tutor,70.4 +524,91.9,FALSE,No tutor,71.4 +525,55.7,TRUE,Tutor,55.2 +526,86.7,FALSE,No tutor,76.3 +527,75.5,FALSE,No tutor,54.7 +528,68.6,TRUE,Tutor,75.9 +529,75.5,FALSE,No tutor,67.7 +530,85.2,FALSE,No tutor,58.8 +531,74.7,FALSE,No tutor,68.2 +532,89,FALSE,No tutor,76.2 +533,87,FALSE,No tutor,54.6 +534,54.4,TRUE,Tutor,63.9 +535,71.4,FALSE,No tutor,44 +536,89.6,FALSE,No tutor,70.3 +537,77.7,FALSE,No tutor,69.7 +538,66,TRUE,Tutor,72.9 +539,89.4,FALSE,No tutor,57.4 +540,83.5,FALSE,No tutor,62.3 +541,56.1,TRUE,Tutor,57.7 +542,84.6,FALSE,No tutor,67.4 +543,95.5,FALSE,No tutor,71.3 +544,69.8,TRUE,Tutor,73.5 +545,94,FALSE,No tutor,62.2 +546,94.3,FALSE,No tutor,74.6 +547,76.6,FALSE,No tutor,58.4 +548,76.8,FALSE,No tutor,50.5 +549,78.3,FALSE,No tutor,64.5 +550,72.4,FALSE,No tutor,72.2 +551,87.2,FALSE,No tutor,73.1 +552,75.7,FALSE,No tutor,57.9 +553,85.3,FALSE,No tutor,57.2 +554,78.9,FALSE,No tutor,62.8 +555,91.9,FALSE,No tutor,63.8 +556,79.6,FALSE,No tutor,56.8 +557,76,FALSE,No tutor,54.2 +558,87.5,FALSE,No tutor,62.5 +559,77.1,FALSE,No tutor,65 +560,86.9,FALSE,No tutor,59.7 +561,86.9,FALSE,No tutor,72.2 +562,81,FALSE,No tutor,62.7 +563,68.4,TRUE,Tutor,73 +564,81,FALSE,No tutor,61.6 +565,74.4,FALSE,No tutor,58.1 +566,56.8,TRUE,Tutor,64.2 +567,82.2,FALSE,No tutor,65.9 +568,79.5,FALSE,No tutor,61.2 +569,68,TRUE,Tutor,76.8 +570,92.8,FALSE,No tutor,62.6 +571,67.2,TRUE,Tutor,66.4 +572,85.5,FALSE,No tutor,63.2 +573,91.8,FALSE,No tutor,72.2 +574,96.1,FALSE,No tutor,84.5 +575,87.7,FALSE,No tutor,62.6 +576,92.1,FALSE,No tutor,73 +577,92.2,FALSE,No tutor,66 +578,92.4,FALSE,No tutor,79.1 +579,67.2,TRUE,Tutor,56.8 +580,89.5,FALSE,No tutor,72.5 +581,86.5,FALSE,No tutor,68.7 +582,83.9,FALSE,No tutor,70.9 +583,74.4,FALSE,No tutor,65.9 +584,83.1,FALSE,No tutor,74.4 +585,60.5,TRUE,Tutor,64.3 +586,82.3,FALSE,No tutor,62.3 +587,97.8,FALSE,No tutor,75.3 +588,79.3,FALSE,No tutor,67.7 +589,96.5,FALSE,No tutor,69.9 +590,57.6,TRUE,Tutor,69 +591,88,FALSE,No tutor,73.3 +592,91.6,FALSE,No tutor,78.8 +593,86.2,FALSE,No tutor,63.2 +594,66.3,TRUE,Tutor,73 +595,73.2,FALSE,No tutor,52.9 +596,90.3,FALSE,No tutor,71.4 +597,77.9,FALSE,No tutor,63.9 +598,66.7,TRUE,Tutor,73.5 +599,41.3,TRUE,Tutor,53.4 +600,75.5,FALSE,No tutor,62.7 +601,87.5,FALSE,No tutor,80 +602,82.5,FALSE,No tutor,61.3 +603,61,TRUE,Tutor,78.4 +604,57.8,TRUE,Tutor,66.8 +605,69.2,TRUE,Tutor,80.1 +606,81.1,FALSE,No tutor,63.2 +607,92.6,FALSE,No tutor,57.5 +608,83.3,FALSE,No tutor,62.4 +609,85.7,FALSE,No tutor,56.7 +610,71.8,FALSE,No tutor,67.7 +611,64.1,TRUE,Tutor,61.8 +612,92.1,FALSE,No tutor,69.6 +613,84.4,FALSE,No tutor,66.3 +614,75.3,FALSE,No tutor,53.2 +615,83.4,FALSE,No tutor,69.7 +616,92.4,FALSE,No tutor,73.9 +617,99,FALSE,No tutor,78.6 +618,78.2,FALSE,No tutor,73.1 +619,78.3,FALSE,No tutor,63.6 +620,37,TRUE,Tutor,53.8 +621,97.1,FALSE,No tutor,67.5 +622,87.1,FALSE,No tutor,70.2 +623,59.2,TRUE,Tutor,71.1 +624,71.5,FALSE,No tutor,61.7 +625,75.7,FALSE,No tutor,59.2 +626,86.6,FALSE,No tutor,66.1 +627,74.2,FALSE,No tutor,53 +628,81.5,FALSE,No tutor,50 +629,75.8,FALSE,No tutor,47.9 +630,86.1,FALSE,No tutor,71.3 +631,46.3,TRUE,Tutor,58.8 +632,83.3,FALSE,No tutor,69.4 +633,82.5,FALSE,No tutor,67.8 +634,83.1,FALSE,No tutor,62.9 +635,82.4,FALSE,No tutor,69.8 +636,76.1,FALSE,No tutor,71 +637,70.7,FALSE,No tutor,62.2 +638,64.2,TRUE,Tutor,54.4 +639,81.9,FALSE,No tutor,49.7 +640,89.9,FALSE,No tutor,73 +641,94.1,FALSE,No tutor,65.1 +642,77.1,FALSE,No tutor,64.5 +643,76.9,FALSE,No tutor,64.4 +644,75.9,FALSE,No tutor,67.8 +645,79.4,FALSE,No tutor,74.8 +646,76,FALSE,No tutor,56.2 +647,76.2,FALSE,No tutor,74.2 +648,88.1,FALSE,No tutor,71.7 +649,70.4,FALSE,No tutor,46.6 +650,91.4,FALSE,No tutor,69.9 +651,94.3,FALSE,No tutor,70.6 +652,79.8,FALSE,No tutor,57.7 +653,91.5,FALSE,No tutor,62.3 +654,66.4,TRUE,Tutor,63 +655,80.1,FALSE,No tutor,61.7 +656,88.2,FALSE,No tutor,56.2 +657,79.6,FALSE,No tutor,49.8 +658,43.8,TRUE,Tutor,55.1 +659,79.6,FALSE,No tutor,66.4 +660,82.8,FALSE,No tutor,66.3 +661,70.9,FALSE,No tutor,57.6 +662,55.2,TRUE,Tutor,67.5 +663,90.9,FALSE,No tutor,65.1 +664,80.7,FALSE,No tutor,74 +665,53.8,TRUE,Tutor,42.8 +666,71.5,FALSE,No tutor,59.4 +667,80.8,FALSE,No tutor,65.9 +668,93.2,FALSE,No tutor,67.1 +669,82.1,FALSE,No tutor,69.1 +670,80.7,FALSE,No tutor,66.5 +671,79.1,FALSE,No tutor,64.4 +672,37.9,TRUE,Tutor,44.2 +673,84.6,FALSE,No tutor,61.5 +674,95,FALSE,No tutor,71.1 +675,68.3,TRUE,Tutor,70.5 +676,79.6,FALSE,No tutor,66.6 +677,81,FALSE,No tutor,74.5 +678,65.2,TRUE,Tutor,62.4 +679,99.4,FALSE,No tutor,71 +680,85.8,FALSE,No tutor,75.1 +681,80.2,FALSE,No tutor,66.5 +682,65.9,TRUE,Tutor,56.7 +683,81.9,FALSE,No tutor,54.9 +684,90.6,FALSE,No tutor,78.6 +685,70.9,FALSE,No tutor,53.7 +686,77.5,FALSE,No tutor,62.7 +687,75.9,FALSE,No tutor,59.8 +688,51.6,TRUE,Tutor,67 +689,85.6,FALSE,No tutor,69.4 +690,92.7,FALSE,No tutor,83.5 +691,93,FALSE,No tutor,76.8 +692,90.8,FALSE,No tutor,72.7 +693,93.8,FALSE,No tutor,60.5 +694,78.6,FALSE,No tutor,71.6 +695,79.4,FALSE,No tutor,62.3 +696,61.8,TRUE,Tutor,65.2 +697,91.5,FALSE,No tutor,79.8 +698,81.3,FALSE,No tutor,63.4 +699,66.7,TRUE,Tutor,54.5 +700,83.2,FALSE,No tutor,58.6 +701,61.6,TRUE,Tutor,56 +702,63.8,TRUE,Tutor,68.5 +703,86.7,FALSE,No tutor,60.2 +704,88.3,FALSE,No tutor,77.6 +705,80.8,FALSE,No tutor,66.7 +706,77.7,FALSE,No tutor,63 +707,78.7,FALSE,No tutor,60.1 +708,86,FALSE,No tutor,62 +709,89.9,FALSE,No tutor,73.4 +710,91.8,FALSE,No tutor,74.5 +711,58.3,TRUE,Tutor,66.8 +712,90.5,FALSE,No tutor,74.4 +713,44.2,TRUE,Tutor,58.1 +714,80,FALSE,No tutor,57.6 +715,85.6,FALSE,No tutor,64 +716,91.3,FALSE,No tutor,73.9 +717,78.1,FALSE,No tutor,69.1 +718,81.4,FALSE,No tutor,66.5 +719,75,FALSE,No tutor,64.1 +720,86.4,FALSE,No tutor,57.6 +721,65.3,TRUE,Tutor,80.4 +722,63.3,TRUE,Tutor,73.5 +723,53.9,TRUE,Tutor,56.8 +724,74.3,FALSE,No tutor,56.6 +725,86,FALSE,No tutor,72.7 +726,79,FALSE,No tutor,66.1 +727,95.3,FALSE,No tutor,56.9 +728,75.5,FALSE,No tutor,70.3 +729,84.1,FALSE,No tutor,64.5 +730,70.2,FALSE,No tutor,51.1 +731,82,FALSE,No tutor,69.9 +732,93.7,FALSE,No tutor,79.5 +733,77.2,FALSE,No tutor,60.4 +734,93.5,FALSE,No tutor,68.3 +735,58.7,TRUE,Tutor,67.5 +736,96.4,FALSE,No tutor,79.4 +737,80.1,FALSE,No tutor,73.9 +738,69.1,TRUE,Tutor,73.9 +739,94.7,FALSE,No tutor,83.8 +740,89.5,FALSE,No tutor,66.7 +741,85.2,FALSE,No tutor,75 +742,74.9,FALSE,No tutor,65.3 +743,82.9,FALSE,No tutor,72.1 +744,90.9,FALSE,No tutor,67.9 +745,70.1,FALSE,No tutor,59 +746,85.4,FALSE,No tutor,76.1 +747,68.1,TRUE,Tutor,67 +748,85.2,FALSE,No tutor,72.5 +749,90.2,FALSE,No tutor,64.8 +750,79.3,FALSE,No tutor,59.7 +751,64.8,TRUE,Tutor,67.7 +752,73.4,FALSE,No tutor,67.4 +753,78.7,FALSE,No tutor,67.8 +754,96.9,FALSE,No tutor,80.5 +755,78.4,FALSE,No tutor,57.1 +756,89.3,FALSE,No tutor,69.3 +757,81,FALSE,No tutor,62.8 +758,73.1,FALSE,No tutor,63.1 +759,94.7,FALSE,No tutor,70.6 +760,63.2,TRUE,Tutor,64.5 +761,73.4,FALSE,No tutor,50.1 +762,56.4,TRUE,Tutor,61.2 +763,85.6,FALSE,No tutor,76.9 +764,85,FALSE,No tutor,75.6 +765,90.6,FALSE,No tutor,77.1 +766,83.3,FALSE,No tutor,67.4 +767,57.5,TRUE,Tutor,64.6 +768,57.9,TRUE,Tutor,53.6 +769,96.4,FALSE,No tutor,83.7 +770,60.6,TRUE,Tutor,72.5 +771,55,TRUE,Tutor,73.4 +772,65.6,TRUE,Tutor,63.6 +773,89.2,FALSE,No tutor,72.9 +774,54.2,TRUE,Tutor,67.9 +775,62.9,TRUE,Tutor,73.4 +776,64.5,TRUE,Tutor,64.9 +777,83.5,FALSE,No tutor,62.1 +778,60,TRUE,Tutor,73.6 +779,75.9,FALSE,No tutor,54.2 +780,78.9,FALSE,No tutor,60.6 +781,41.8,TRUE,Tutor,54 +782,62.3,TRUE,Tutor,64 +783,84.1,FALSE,No tutor,63.5 +784,94.5,FALSE,No tutor,63.9 +785,66.2,TRUE,Tutor,72 +786,84.4,FALSE,No tutor,66.8 +787,58.6,TRUE,Tutor,71.8 +788,68.9,TRUE,Tutor,67.1 +789,77.4,FALSE,No tutor,73.1 +790,79.2,FALSE,No tutor,62.9 +791,83.3,FALSE,No tutor,58.3 +792,74.3,FALSE,No tutor,75.2 +793,91.6,FALSE,No tutor,75.1 +794,64.3,TRUE,Tutor,72.7 +795,83.7,FALSE,No tutor,76.2 +796,88,FALSE,No tutor,65.3 +797,82.8,FALSE,No tutor,71.6 +798,96.1,FALSE,No tutor,60 +799,83.1,FALSE,No tutor,57.2 +800,75.9,FALSE,No tutor,56.2 +801,85.6,FALSE,No tutor,64.9 +802,83.9,FALSE,No tutor,63.9 +803,70.7,FALSE,No tutor,55.1 +804,73.8,FALSE,No tutor,59.5 +805,87.2,FALSE,No tutor,75.9 +806,66.7,TRUE,Tutor,69.9 +807,74.6,FALSE,No tutor,55.7 +808,64,TRUE,Tutor,75.6 +809,93.3,FALSE,No tutor,70.9 +810,80.8,FALSE,No tutor,65.1 +811,85.5,FALSE,No tutor,71.5 +812,90.9,FALSE,No tutor,60.4 +813,61.9,TRUE,Tutor,69.4 +814,68.9,TRUE,Tutor,71.2 +815,92.6,FALSE,No tutor,64 +816,93.8,FALSE,No tutor,77.8 +817,95.9,FALSE,No tutor,74.7 +818,76,FALSE,No tutor,63.5 +819,91.9,FALSE,No tutor,63.4 +820,83.5,FALSE,No tutor,53.2 +821,83.1,FALSE,No tutor,51.7 +822,71.9,FALSE,No tutor,62.7 +823,91.7,FALSE,No tutor,62.9 +824,79.3,FALSE,No tutor,70.8 +825,88,FALSE,No tutor,73 +826,74,FALSE,No tutor,69.6 +827,89.1,FALSE,No tutor,64.7 +828,77.3,FALSE,No tutor,57.5 +829,65.9,TRUE,Tutor,66.2 +830,90.5,FALSE,No tutor,75.7 +831,81.1,FALSE,No tutor,63.2 +832,71.5,FALSE,No tutor,68.9 +833,79.2,FALSE,No tutor,75.5 +834,97,FALSE,No tutor,77.2 +835,62.3,TRUE,Tutor,69.2 +836,77.5,FALSE,No tutor,70.4 +837,79.4,FALSE,No tutor,76.6 +838,69.9,TRUE,Tutor,73.1 +839,81.2,FALSE,No tutor,61.2 +840,90.5,FALSE,No tutor,63.6 +841,87,FALSE,No tutor,54.5 +842,76.8,FALSE,No tutor,63.1 +843,74.5,FALSE,No tutor,58.5 +844,90.4,FALSE,No tutor,71.4 +845,84.3,FALSE,No tutor,78.8 +846,88.9,FALSE,No tutor,49.1 +847,92.7,FALSE,No tutor,66.1 +848,87.2,FALSE,No tutor,58.9 +849,75.2,FALSE,No tutor,53.6 +850,72.7,FALSE,No tutor,54.1 +851,66.2,TRUE,Tutor,60.1 +852,73.9,FALSE,No tutor,52.8 +853,75.1,FALSE,No tutor,67.5 +854,57.2,TRUE,Tutor,65.6 +855,80.4,FALSE,No tutor,64.3 +856,73.2,FALSE,No tutor,67.7 +857,89.6,FALSE,No tutor,78.6 +858,96.3,FALSE,No tutor,72 +859,81.2,FALSE,No tutor,71.3 +860,67.1,TRUE,Tutor,67.8 +861,68.6,TRUE,Tutor,68 +862,62.2,TRUE,Tutor,66.5 +863,84.4,FALSE,No tutor,61.2 +864,92.4,FALSE,No tutor,77.5 +865,72.3,FALSE,No tutor,60.4 +866,94.8,FALSE,No tutor,65.7 +867,65.2,TRUE,Tutor,68.9 +868,63.6,TRUE,Tutor,72 +869,57.6,TRUE,Tutor,65.5 +870,81.3,FALSE,No tutor,52 +871,87.2,FALSE,No tutor,51.6 +872,69.4,TRUE,Tutor,56.5 +873,39.4,TRUE,Tutor,64.9 +874,92.4,FALSE,No tutor,82.5 +875,84.3,FALSE,No tutor,66.6 +876,75.2,FALSE,No tutor,64 +877,76.7,FALSE,No tutor,73 +878,84.4,FALSE,No tutor,52.5 +879,98.3,FALSE,No tutor,72 +880,82.1,FALSE,No tutor,64.7 +881,92.2,FALSE,No tutor,72 +882,77.2,FALSE,No tutor,67.3 +883,89,FALSE,No tutor,78.7 +884,79.7,FALSE,No tutor,66.4 +885,88,FALSE,No tutor,76.3 +886,83.9,FALSE,No tutor,65.4 +887,83.5,FALSE,No tutor,60.8 +888,46.6,TRUE,Tutor,60.5 +889,63.2,TRUE,Tutor,53.6 +890,81.4,FALSE,No tutor,51 +891,92.6,FALSE,No tutor,60.5 +892,54.7,TRUE,Tutor,72.3 +893,94.1,FALSE,No tutor,71.4 +894,92.2,FALSE,No tutor,69.8 +895,88.3,FALSE,No tutor,63.5 +896,90.3,FALSE,No tutor,79.7 +897,89.7,FALSE,No tutor,71.9 +898,47.8,TRUE,Tutor,56.1 +899,79.5,FALSE,No tutor,63.3 +900,87.7,FALSE,No tutor,57.2 +901,64.3,TRUE,Tutor,58.1 +902,74.3,FALSE,No tutor,53.1 +903,92.5,FALSE,No tutor,58.7 +904,85.9,FALSE,No tutor,67.8 +905,67.5,TRUE,Tutor,67.1 +906,60.2,TRUE,Tutor,72 +907,78,FALSE,No tutor,59.7 +908,95.9,FALSE,No tutor,71.4 +909,87.8,FALSE,No tutor,58.7 +910,81.2,FALSE,No tutor,54.8 +911,68.4,TRUE,Tutor,77.9 +912,76.8,FALSE,No tutor,60.7 +913,76.8,FALSE,No tutor,66.9 +914,70.6,FALSE,No tutor,61.6 +915,82.1,FALSE,No tutor,67.3 +916,84.2,FALSE,No tutor,74.8 +917,76.1,FALSE,No tutor,55 +918,88.7,FALSE,No tutor,65.4 +919,82.2,FALSE,No tutor,77.2 +920,85.5,FALSE,No tutor,70.5 +921,89.4,FALSE,No tutor,71.3 +922,57.7,TRUE,Tutor,68.7 +923,93,FALSE,No tutor,72.9 +924,84.7,FALSE,No tutor,58.5 +925,72.1,FALSE,No tutor,56.2 +926,79.5,FALSE,No tutor,70.4 +927,73.3,FALSE,No tutor,63.3 +928,93.3,FALSE,No tutor,72.4 +929,84.2,FALSE,No tutor,69.9 +930,95.8,FALSE,No tutor,73.9 +931,89,FALSE,No tutor,71.7 +932,51.9,TRUE,Tutor,58.6 +933,73.2,FALSE,No tutor,57.1 +934,76.3,FALSE,No tutor,67.4 +935,90,FALSE,No tutor,68.1 +936,85.8,FALSE,No tutor,65.6 +937,90.7,FALSE,No tutor,67.1 +938,76.9,FALSE,No tutor,62 +939,62.1,TRUE,Tutor,61.6 +940,72.3,FALSE,No tutor,66.3 +941,86.5,FALSE,No tutor,67.8 +942,67,TRUE,Tutor,74.9 +943,70.6,FALSE,No tutor,65.7 +944,60.1,TRUE,Tutor,77.7 +945,84.3,FALSE,No tutor,56.1 +946,92.2,FALSE,No tutor,75.1 +947,79.2,FALSE,No tutor,59.6 +948,72.3,FALSE,No tutor,63.2 +949,78.9,FALSE,No tutor,46.8 +950,69.8,TRUE,Tutor,68 +951,79.1,FALSE,No tutor,63.2 +952,81.4,FALSE,No tutor,64.7 +953,79.8,FALSE,No tutor,62.1 +954,78.1,FALSE,No tutor,65.9 +955,75.8,FALSE,No tutor,62.1 +956,85.9,FALSE,No tutor,62 +957,76.4,FALSE,No tutor,59.2 +958,87.5,FALSE,No tutor,79.2 +959,91.5,FALSE,No tutor,76.1 +960,61.1,TRUE,Tutor,57.5 +961,64.7,TRUE,Tutor,68.3 +962,85.9,FALSE,No tutor,67.4 +963,48.2,TRUE,Tutor,54.8 +964,80.8,FALSE,No tutor,71.8 +965,82.2,FALSE,No tutor,66.6 +966,90.2,FALSE,No tutor,75.1 +967,78.2,FALSE,No tutor,58.4 +968,80,FALSE,No tutor,62.3 +969,76.6,FALSE,No tutor,72.7 +970,69.4,TRUE,Tutor,72.1 +971,58.5,TRUE,Tutor,68.6 +972,71.8,FALSE,No tutor,65.7 +973,56.2,TRUE,Tutor,63.1 +974,54.2,TRUE,Tutor,73.3 +975,83.3,FALSE,No tutor,62.7 +976,66.7,TRUE,Tutor,80 +977,91.7,FALSE,No tutor,77.3 +978,90.2,FALSE,No tutor,67.1 +979,72.8,FALSE,No tutor,65 +980,84.3,FALSE,No tutor,67.3 +981,95.9,FALSE,No tutor,61.9 +982,58.5,TRUE,Tutor,52.7 +983,89,FALSE,No tutor,56.5 +984,70.6,FALSE,No tutor,64 +985,70.1,FALSE,No tutor,50.2 +986,40.7,TRUE,Tutor,55 +987,74.3,FALSE,No tutor,59.4 +988,64.5,TRUE,Tutor,61.5 +989,83.9,FALSE,No tutor,63.8 +990,95.5,FALSE,No tutor,69.6 +991,75.3,FALSE,No tutor,66 +992,93.9,FALSE,No tutor,71.1 +993,78.8,FALSE,No tutor,71.8 +994,76.1,FALSE,No tutor,58.9 +995,83.1,FALSE,No tutor,63.1 +996,43.7,TRUE,Tutor,65.3 +997,39.2,TRUE,Tutor,53.6 +998,90.3,FALSE,No tutor,76.7 +999,62.2,TRUE,Tutor,69.3 +1000,83.5,FALSE,No tutor,61.1 diff --git a/docs/files/data/generated_data/tutoring_program_fuzzy.csv b/docs/files/data/generated_data/tutoring_program_fuzzy.csv new file mode 100644 index 00000000..d9382f40 --- /dev/null +++ b/docs/files/data/generated_data/tutoring_program_fuzzy.csv @@ -0,0 +1,1001 @@ +id,entrance_exam,tutoring,tutoring_text,exit_exam +1,92.4,FALSE,No tutor,78.1 +2,72.8,FALSE,No tutor,58.2 +3,53.7,TRUE,Tutor,62 +4,98.3,FALSE,No tutor,67.5 +5,69.7,TRUE,Tutor,54.1 +6,68.1,TRUE,Tutor,60.1 +7,86,FALSE,No tutor,73 +8,85.7,TRUE,Tutor,76.7 +9,85.9,FALSE,No tutor,57.8 +10,89.5,FALSE,No tutor,79.9 +11,84.8,FALSE,No tutor,70 +12,90.6,FALSE,No tutor,74.9 +13,88.3,TRUE,Tutor,81.5 +14,76.7,TRUE,Tutor,67.6 +15,57.1,TRUE,Tutor,62.4 +16,79.6,FALSE,No tutor,65.4 +17,85.2,FALSE,No tutor,69.1 +18,89.7,TRUE,Tutor,87.3 +19,89,FALSE,No tutor,67.5 +20,75.5,TRUE,Tutor,64 +21,85,TRUE,Tutor,68.4 +22,84.3,FALSE,No tutor,63.8 +23,69.1,FALSE,No tutor,67.5 +24,87.4,FALSE,No tutor,74.6 +25,94.2,FALSE,No tutor,77.3 +26,66.5,FALSE,No tutor,67.7 +27,90.8,FALSE,No tutor,70.1 +28,78,FALSE,No tutor,53.4 +29,90,FALSE,No tutor,83.2 +30,53.2,TRUE,Tutor,55.2 +31,84.8,FALSE,No tutor,68.9 +32,87.6,FALSE,No tutor,74.3 +33,85.1,FALSE,No tutor,61.1 +34,95.3,FALSE,No tutor,71.9 +35,92.1,FALSE,No tutor,77.5 +36,97.8,FALSE,No tutor,79 +37,93.4,FALSE,No tutor,82 +38,82.3,FALSE,No tutor,49.7 +39,84.7,FALSE,No tutor,68.5 +40,91.2,FALSE,No tutor,76 +41,89.2,FALSE,No tutor,72.8 +42,82.1,TRUE,Tutor,80.1 +43,90.5,FALSE,No tutor,79.5 +44,90.3,FALSE,No tutor,80.1 +45,91.6,FALSE,No tutor,61.8 +46,92.8,FALSE,No tutor,66.5 +47,85.4,FALSE,No tutor,64.5 +48,85.1,FALSE,No tutor,66.4 +49,96.3,FALSE,No tutor,80.3 +50,86.1,FALSE,No tutor,72.8 +51,91.6,FALSE,No tutor,77.8 +52,90.7,FALSE,No tutor,71.6 +53,80.4,TRUE,Tutor,74 +54,66.8,TRUE,Tutor,63.4 +55,36.9,TRUE,Tutor,49.1 +56,88.3,TRUE,Tutor,74.2 +57,92,FALSE,No tutor,60.1 +58,78.4,FALSE,No tutor,54.7 +59,87.2,TRUE,Tutor,82.9 +60,77.9,TRUE,Tutor,67.6 +61,91.8,FALSE,No tutor,67.2 +62,71.6,FALSE,No tutor,59.9 +63,77.7,FALSE,No tutor,70.2 +64,84.5,TRUE,Tutor,72.4 +65,83.3,FALSE,No tutor,66.1 +66,64.9,FALSE,No tutor,60.1 +67,80.2,FALSE,No tutor,57.2 +68,93.8,FALSE,No tutor,63.4 +69,82.7,FALSE,No tutor,58.9 +70,80.6,FALSE,No tutor,71.6 +71,80.5,FALSE,No tutor,57.3 +72,93.7,FALSE,No tutor,77.2 +73,80.6,FALSE,No tutor,62 +74,59.9,FALSE,No tutor,53.5 +75,63.7,TRUE,Tutor,72 +76,67.1,FALSE,No tutor,59 +77,83.8,FALSE,No tutor,64.1 +78,80.8,FALSE,No tutor,54.3 +79,92.3,FALSE,No tutor,72.5 +80,78.7,FALSE,No tutor,62 +81,73.2,TRUE,Tutor,80.5 +82,35.1,TRUE,Tutor,47.3 +83,55.9,FALSE,No tutor,51.3 +84,85,TRUE,Tutor,72.2 +85,91.8,FALSE,No tutor,74 +86,56.7,TRUE,Tutor,48.5 +87,70,TRUE,Tutor,71.1 +88,84.8,FALSE,No tutor,66.4 +89,76.7,TRUE,Tutor,74.2 +90,85.1,FALSE,No tutor,60.4 +91,74.9,FALSE,No tutor,68 +92,89.6,TRUE,Tutor,78.2 +93,74.8,TRUE,Tutor,67.6 +94,71.2,FALSE,No tutor,69 +95,78.6,TRUE,Tutor,72.5 +96,80.9,FALSE,No tutor,69.8 +97,86.9,FALSE,No tutor,55.9 +98,91.6,FALSE,No tutor,64.9 +99,59.9,TRUE,Tutor,75.7 +100,77.4,FALSE,No tutor,55.9 +101,60.4,TRUE,Tutor,63.5 +102,92.7,FALSE,No tutor,75.5 +103,74.8,FALSE,No tutor,65.1 +104,64.3,TRUE,Tutor,75.7 +105,78.2,FALSE,No tutor,61 +106,80.8,FALSE,No tutor,75.8 +107,88.4,FALSE,No tutor,70.3 +108,62.4,TRUE,Tutor,62.5 +109,76.4,TRUE,Tutor,72.5 +110,86.7,TRUE,Tutor,71.1 +111,94.6,FALSE,No tutor,71.9 +112,86.8,FALSE,No tutor,74.5 +113,73.8,FALSE,No tutor,48.4 +114,55.6,TRUE,Tutor,73.1 +115,73.2,FALSE,No tutor,69 +116,92.1,FALSE,No tutor,77.4 +117,64.4,FALSE,No tutor,67 +118,95.5,FALSE,No tutor,59.7 +119,83.3,FALSE,No tutor,57.8 +120,82.6,FALSE,No tutor,54.3 +121,97,FALSE,No tutor,78 +122,58.1,TRUE,Tutor,63.4 +123,86.6,FALSE,No tutor,59.2 +124,82.9,TRUE,Tutor,71.8 +125,65.1,TRUE,Tutor,66.3 +126,79.5,FALSE,No tutor,72.7 +127,67.9,FALSE,No tutor,56.5 +128,70.3,FALSE,No tutor,61.5 +129,72.8,FALSE,No tutor,66.2 +130,68.1,TRUE,Tutor,74.1 +131,71.4,FALSE,No tutor,58.8 +132,83.5,FALSE,No tutor,62.5 +133,76.1,FALSE,No tutor,54 +134,75.7,FALSE,No tutor,59.9 +135,81.5,FALSE,No tutor,62.1 +136,91.1,FALSE,No tutor,74.2 +137,89.3,FALSE,No tutor,68.8 +138,83.7,FALSE,No tutor,61.3 +139,89.1,FALSE,No tutor,82.1 +140,81.8,TRUE,Tutor,76.6 +141,84,FALSE,No tutor,66.7 +142,80.7,FALSE,No tutor,67.2 +143,70.2,FALSE,No tutor,59.7 +144,65.4,TRUE,Tutor,79.6 +145,35.9,TRUE,Tutor,50.1 +146,78.9,FALSE,No tutor,64.4 +147,82.7,TRUE,Tutor,80 +148,77,FALSE,No tutor,66.6 +149,82.9,FALSE,No tutor,65.5 +150,96.4,FALSE,No tutor,73.8 +151,44.1,TRUE,Tutor,61.5 +152,89,FALSE,No tutor,66.9 +153,91.7,FALSE,No tutor,65 +154,73.6,FALSE,No tutor,54.8 +155,78.3,FALSE,No tutor,56 +156,99.1,FALSE,No tutor,67.8 +157,79.4,FALSE,No tutor,67.3 +158,70,FALSE,No tutor,60.2 +159,58.3,FALSE,No tutor,43.3 +160,51.3,TRUE,Tutor,55.6 +161,85.2,TRUE,Tutor,74.8 +162,63.5,TRUE,Tutor,55.6 +163,80.9,TRUE,Tutor,80 +164,85.6,TRUE,Tutor,77.6 +165,99.3,FALSE,No tutor,76.6 +166,88.5,FALSE,No tutor,68.2 +167,68.5,TRUE,Tutor,70.4 +168,68.2,FALSE,No tutor,48.4 +169,65.5,TRUE,Tutor,66.7 +170,90.3,FALSE,No tutor,69.6 +171,74.9,FALSE,No tutor,67.4 +172,97.5,FALSE,No tutor,76.9 +173,68.5,TRUE,Tutor,79.3 +174,63.7,TRUE,Tutor,63.5 +175,74.5,FALSE,No tutor,55.1 +176,63.6,TRUE,Tutor,63.5 +177,72.1,FALSE,No tutor,58.4 +178,62.2,TRUE,Tutor,64.5 +179,52.9,TRUE,Tutor,60.9 +180,77.2,FALSE,No tutor,49.2 +181,91.6,FALSE,No tutor,68.1 +182,69.9,TRUE,Tutor,57.7 +183,83.8,FALSE,No tutor,63.2 +184,41.6,TRUE,Tutor,51.8 +185,95.2,FALSE,No tutor,76.6 +186,84,FALSE,No tutor,67.5 +187,69.9,TRUE,Tutor,73.6 +188,80.2,TRUE,Tutor,72 +189,86.4,FALSE,No tutor,64.9 +190,82.5,FALSE,No tutor,60.2 +191,65.3,TRUE,Tutor,74.1 +192,64.6,TRUE,Tutor,68.4 +193,72.6,TRUE,Tutor,57.5 +194,87,FALSE,No tutor,72.1 +195,64.2,TRUE,Tutor,69.8 +196,87.3,FALSE,No tutor,63.6 +197,74.5,FALSE,No tutor,66.7 +198,82.8,FALSE,No tutor,56.6 +199,82.1,TRUE,Tutor,72.6 +200,90,FALSE,No tutor,69.3 +201,75.8,FALSE,No tutor,73.1 +202,72,FALSE,No tutor,63.6 +203,91.3,FALSE,No tutor,53 +204,81.8,TRUE,Tutor,78.1 +205,77.3,FALSE,No tutor,58.2 +206,66.1,TRUE,Tutor,78.2 +207,76.8,FALSE,No tutor,57.5 +208,70,TRUE,Tutor,57.3 +209,91.5,FALSE,No tutor,80.7 +210,63.4,TRUE,Tutor,59.5 +211,63.2,FALSE,No tutor,53.9 +212,73.3,FALSE,No tutor,64.4 +213,45.7,TRUE,Tutor,64.9 +214,70.2,FALSE,No tutor,61 +215,73,FALSE,No tutor,69 +216,73,FALSE,No tutor,52 +217,69.5,TRUE,Tutor,70.6 +218,54.3,TRUE,Tutor,51.5 +219,69.2,TRUE,Tutor,69.8 +220,64.5,TRUE,Tutor,72.5 +221,91.8,FALSE,No tutor,79.8 +222,83.4,FALSE,No tutor,75.8 +223,92.5,FALSE,No tutor,72.4 +224,73.1,FALSE,No tutor,73.5 +225,70.2,FALSE,No tutor,70.1 +226,56.6,TRUE,Tutor,64.7 +227,83.1,FALSE,No tutor,52.1 +228,75,FALSE,No tutor,61.6 +229,96.1,FALSE,No tutor,73 +230,71.6,FALSE,No tutor,59.2 +231,87.1,TRUE,Tutor,72.9 +232,81.5,FALSE,No tutor,77.7 +233,70.6,FALSE,No tutor,59.9 +234,64.4,TRUE,Tutor,62.1 +235,82.5,FALSE,No tutor,67.6 +236,64.3,TRUE,Tutor,65.3 +237,86.9,TRUE,Tutor,70.9 +238,61,TRUE,Tutor,66.6 +239,77.9,FALSE,No tutor,60.2 +240,72,FALSE,No tutor,71.2 +241,68.8,TRUE,Tutor,70.8 +242,87.5,FALSE,No tutor,64.1 +243,60.8,TRUE,Tutor,64.1 +244,88.7,FALSE,No tutor,78.4 +245,71.9,FALSE,No tutor,61.5 +246,89.1,FALSE,No tutor,63.8 +247,81.6,FALSE,No tutor,70.9 +248,94.9,FALSE,No tutor,69.4 +249,75.6,FALSE,No tutor,58 +250,56.4,TRUE,Tutor,54.9 +251,74.6,FALSE,No tutor,57.4 +252,96.1,FALSE,No tutor,71.1 +253,86.6,FALSE,No tutor,78.4 +254,92.1,FALSE,No tutor,74.8 +255,83.3,TRUE,Tutor,73 +256,71.3,FALSE,No tutor,67 +257,72,FALSE,No tutor,58.4 +258,86.1,FALSE,No tutor,68.8 +259,90.2,FALSE,No tutor,59.1 +260,80.6,FALSE,No tutor,65.6 +261,55.7,TRUE,Tutor,65.8 +262,77.4,FALSE,No tutor,65.7 +263,86.9,FALSE,No tutor,74.7 +264,85.2,FALSE,No tutor,56.3 +265,84.4,FALSE,No tutor,65.9 +266,62.1,TRUE,Tutor,70.5 +267,42.3,TRUE,Tutor,52.9 +268,69.4,TRUE,Tutor,62.4 +269,84.1,TRUE,Tutor,80.2 +270,78.4,FALSE,No tutor,66.5 +271,85,FALSE,No tutor,68 +272,80.2,FALSE,No tutor,77 +273,85.9,TRUE,Tutor,76.7 +274,86.9,FALSE,No tutor,68.1 +275,75.3,FALSE,No tutor,64.6 +276,77.4,TRUE,Tutor,80.8 +277,85.2,FALSE,No tutor,71 +278,95.1,FALSE,No tutor,71.5 +279,77.3,FALSE,No tutor,68 +280,87.7,FALSE,No tutor,73.7 +281,53.7,TRUE,Tutor,60.6 +282,90.1,FALSE,No tutor,72.2 +283,52.5,TRUE,Tutor,64.9 +284,86.9,FALSE,No tutor,65.1 +285,72.5,FALSE,No tutor,59.4 +286,58.7,TRUE,Tutor,71.8 +287,85.3,FALSE,No tutor,76.8 +288,67,TRUE,Tutor,63.5 +289,79.2,FALSE,No tutor,70.6 +290,91.8,FALSE,No tutor,77.6 +291,82,FALSE,No tutor,55.3 +292,81.2,FALSE,No tutor,65 +293,88.8,FALSE,No tutor,73.4 +294,78.7,FALSE,No tutor,53 +295,71.7,FALSE,No tutor,52.4 +296,57.2,TRUE,Tutor,70.6 +297,52,TRUE,Tutor,65.4 +298,76,FALSE,No tutor,60.4 +299,51.4,TRUE,Tutor,69.7 +300,88.2,TRUE,Tutor,82 +301,98.3,FALSE,No tutor,74.3 +302,84.7,FALSE,No tutor,67.9 +303,85.3,FALSE,No tutor,65.9 +304,98.2,FALSE,No tutor,72.6 +305,66.8,TRUE,Tutor,60.8 +306,88.4,FALSE,No tutor,69.6 +307,81.3,FALSE,No tutor,71.6 +308,95.1,FALSE,No tutor,73.5 +309,89.4,FALSE,No tutor,71.3 +310,79.6,TRUE,Tutor,74.5 +311,57.7,FALSE,No tutor,40.9 +312,28.8,TRUE,Tutor,44.7 +313,77.9,TRUE,Tutor,64.3 +314,80.2,FALSE,No tutor,49.4 +315,85.2,TRUE,Tutor,86.6 +316,43.4,TRUE,Tutor,61.8 +317,93,FALSE,No tutor,75.6 +318,72.2,FALSE,No tutor,63.4 +319,78.5,TRUE,Tutor,77.1 +320,86.4,FALSE,No tutor,64.4 +321,94.6,FALSE,No tutor,80.8 +322,73.6,FALSE,No tutor,65.7 +323,78.4,FALSE,No tutor,68.3 +324,89,FALSE,No tutor,72.3 +325,75.5,TRUE,Tutor,77.2 +326,82.1,FALSE,No tutor,59.6 +327,87.3,FALSE,No tutor,66.7 +328,68.2,TRUE,Tutor,78.4 +329,82.9,FALSE,No tutor,58.5 +330,96.4,FALSE,No tutor,74.9 +331,99,FALSE,No tutor,68 +332,86.1,FALSE,No tutor,64.9 +333,60.2,FALSE,No tutor,50 +334,56.4,TRUE,Tutor,58.3 +335,72,FALSE,No tutor,64.2 +336,94.6,FALSE,No tutor,74.2 +337,74.1,TRUE,Tutor,78.6 +338,38.4,TRUE,Tutor,44.8 +339,99.8,FALSE,No tutor,77 +340,88.4,FALSE,No tutor,62.3 +341,53.1,TRUE,Tutor,63.1 +342,67.6,FALSE,No tutor,46.1 +343,61.5,FALSE,No tutor,48.6 +344,69.1,TRUE,Tutor,75.7 +345,67.3,TRUE,Tutor,69.1 +346,77.5,FALSE,No tutor,63.7 +347,89.8,FALSE,No tutor,67.7 +348,92.6,FALSE,No tutor,75.2 +349,77.2,FALSE,No tutor,68.1 +350,84.1,FALSE,No tutor,69 +351,89.6,TRUE,Tutor,70.1 +352,70,TRUE,Tutor,74.4 +353,75.1,TRUE,Tutor,72.1 +354,91.7,FALSE,No tutor,76.3 +355,85.3,FALSE,No tutor,72.1 +356,79,FALSE,No tutor,73.3 +357,93.9,FALSE,No tutor,65.5 +358,82.2,TRUE,Tutor,72.8 +359,87.6,FALSE,No tutor,74.7 +360,97.7,FALSE,No tutor,65.7 +361,82.2,FALSE,No tutor,79.6 +362,85.5,FALSE,No tutor,57.8 +363,86.4,FALSE,No tutor,57.5 +364,66.9,TRUE,Tutor,67.2 +365,75.3,FALSE,No tutor,66.5 +366,92.6,FALSE,No tutor,78.9 +367,70.8,FALSE,No tutor,66.6 +368,79.5,FALSE,No tutor,69.4 +369,74.9,FALSE,No tutor,67.2 +370,64.6,FALSE,No tutor,48.9 +371,75.8,TRUE,Tutor,78.3 +372,38.8,TRUE,Tutor,54.8 +373,75.8,TRUE,Tutor,72 +374,92.8,FALSE,No tutor,67.5 +375,92.5,FALSE,No tutor,77.8 +376,96.8,FALSE,No tutor,79 +377,88.7,FALSE,No tutor,72.5 +378,88,FALSE,No tutor,65.5 +379,86.4,FALSE,No tutor,68.9 +380,63,TRUE,Tutor,74.2 +381,92.9,FALSE,No tutor,72.1 +382,77.4,FALSE,No tutor,60.5 +383,68.5,TRUE,Tutor,72 +384,80,FALSE,No tutor,71.3 +385,74.8,FALSE,No tutor,69 +386,90.1,FALSE,No tutor,71.7 +387,93,FALSE,No tutor,68.7 +388,73,FALSE,No tutor,53.2 +389,83.9,FALSE,No tutor,75.8 +390,71.8,TRUE,Tutor,76.6 +391,71.1,TRUE,Tutor,82.6 +392,45.4,TRUE,Tutor,56.8 +393,83.9,FALSE,No tutor,61 +394,62.1,TRUE,Tutor,64 +395,86.9,FALSE,No tutor,57.8 +396,94.4,FALSE,No tutor,67.4 +397,92.4,FALSE,No tutor,75.5 +398,80.2,FALSE,No tutor,52.4 +399,76,FALSE,No tutor,59.4 +400,88.6,FALSE,No tutor,64.5 +401,73.7,FALSE,No tutor,68.3 +402,63.7,TRUE,Tutor,68.7 +403,93.1,FALSE,No tutor,79.8 +404,96.9,FALSE,No tutor,74 +405,92.9,FALSE,No tutor,59.5 +406,89.5,FALSE,No tutor,73.2 +407,82.3,FALSE,No tutor,65.6 +408,58.9,TRUE,Tutor,57.8 +409,72.9,FALSE,No tutor,71.6 +410,85.9,TRUE,Tutor,87 +411,78.4,TRUE,Tutor,80.7 +412,85.2,FALSE,No tutor,65.2 +413,54.4,TRUE,Tutor,61.6 +414,53.3,TRUE,Tutor,50.8 +415,92.1,FALSE,No tutor,79.4 +416,88,FALSE,No tutor,72.3 +417,95.7,FALSE,No tutor,63.5 +418,69.9,TRUE,Tutor,74.6 +419,73.6,FALSE,No tutor,63.7 +420,89,FALSE,No tutor,70.5 +421,64.3,TRUE,Tutor,66.8 +422,94.1,FALSE,No tutor,68.7 +423,91.6,FALSE,No tutor,64.9 +424,78.5,FALSE,No tutor,58.5 +425,68.1,TRUE,Tutor,62.8 +426,62.9,TRUE,Tutor,73 +427,56.4,TRUE,Tutor,63.4 +428,92.6,FALSE,No tutor,82.9 +429,63.4,TRUE,Tutor,65 +430,79.6,FALSE,No tutor,71.8 +431,81.6,FALSE,No tutor,76.4 +432,94.7,FALSE,No tutor,81.7 +433,68.4,TRUE,Tutor,64.7 +434,71.2,FALSE,No tutor,58.1 +435,78.1,FALSE,No tutor,58.3 +436,91.1,FALSE,No tutor,74.5 +437,89,FALSE,No tutor,68.1 +438,78,FALSE,No tutor,60.6 +439,54.9,TRUE,Tutor,63.1 +440,83.3,FALSE,No tutor,74.3 +441,89.3,TRUE,Tutor,69.9 +442,68.3,TRUE,Tutor,61.6 +443,69.7,TRUE,Tutor,71.3 +444,47.2,TRUE,Tutor,59.6 +445,42.4,TRUE,Tutor,58.5 +446,80.1,FALSE,No tutor,67 +447,77.8,TRUE,Tutor,74.3 +448,87.2,FALSE,No tutor,68.5 +449,89.1,FALSE,No tutor,67.7 +450,83.1,FALSE,No tutor,73.2 +451,73.7,FALSE,No tutor,72.8 +452,78.2,TRUE,Tutor,76.8 +453,74.2,FALSE,No tutor,56.3 +454,74.3,FALSE,No tutor,69 +455,63.3,TRUE,Tutor,66.5 +456,82,FALSE,No tutor,67.3 +457,37.2,TRUE,Tutor,64.1 +458,69.5,TRUE,Tutor,76 +459,92.3,FALSE,No tutor,62.9 +460,82.1,TRUE,Tutor,83.9 +461,67.9,TRUE,Tutor,74.4 +462,83.9,TRUE,Tutor,82.3 +463,71.4,FALSE,No tutor,50 +464,47.3,TRUE,Tutor,60.1 +465,86.9,FALSE,No tutor,63.9 +466,78.1,FALSE,No tutor,57.6 +467,85.9,FALSE,No tutor,70.8 +468,91.7,FALSE,No tutor,78.6 +469,96.5,FALSE,No tutor,71.9 +470,74.3,FALSE,No tutor,64.8 +471,65.9,FALSE,No tutor,45.3 +472,65.1,TRUE,Tutor,71.4 +473,93.8,FALSE,No tutor,74.2 +474,91.8,FALSE,No tutor,65.2 +475,91.9,FALSE,No tutor,75.8 +476,87.4,FALSE,No tutor,68.8 +477,74.8,TRUE,Tutor,68.3 +478,66.1,TRUE,Tutor,71.1 +479,57.2,TRUE,Tutor,71.8 +480,65.6,FALSE,No tutor,55.3 +481,87.5,FALSE,No tutor,70.9 +482,91.3,FALSE,No tutor,82.6 +483,82.4,TRUE,Tutor,74 +484,75.9,FALSE,No tutor,61.9 +485,63.1,TRUE,Tutor,70.4 +486,89.1,TRUE,Tutor,80.9 +487,72.5,FALSE,No tutor,65.3 +488,46.4,TRUE,Tutor,53.6 +489,89.6,FALSE,No tutor,79.9 +490,81.3,FALSE,No tutor,72.3 +491,96.1,FALSE,No tutor,76.4 +492,72.6,FALSE,No tutor,48.7 +493,86.8,TRUE,Tutor,79.6 +494,89.9,FALSE,No tutor,77.1 +495,88.4,FALSE,No tutor,55.7 +496,69.4,FALSE,No tutor,61.5 +497,97.8,FALSE,No tutor,69.3 +498,84.1,TRUE,Tutor,67.4 +499,90.7,FALSE,No tutor,67 +500,90.2,FALSE,No tutor,58.8 +501,68.7,TRUE,Tutor,75 +502,71.3,FALSE,No tutor,71.9 +503,79.5,TRUE,Tutor,81.6 +504,67.4,TRUE,Tutor,73 +505,86.4,FALSE,No tutor,66.3 +506,97.3,FALSE,No tutor,77.2 +507,81.4,FALSE,No tutor,60.9 +508,83.3,FALSE,No tutor,63.2 +509,75,FALSE,No tutor,56.8 +510,69.8,FALSE,No tutor,46.9 +511,57.9,TRUE,Tutor,73.3 +512,77,TRUE,Tutor,65.2 +513,85.2,TRUE,Tutor,79.6 +514,82.4,FALSE,No tutor,71.9 +515,60.6,TRUE,Tutor,76.3 +516,89.1,FALSE,No tutor,75.6 +517,90.2,FALSE,No tutor,72.4 +518,72.1,FALSE,No tutor,72.7 +519,65.7,TRUE,Tutor,70.6 +520,61.6,FALSE,No tutor,51.6 +521,77.6,TRUE,Tutor,82.5 +522,80.7,TRUE,Tutor,75.4 +523,53,TRUE,Tutor,70.4 +524,91.9,FALSE,No tutor,71.4 +525,55.7,FALSE,No tutor,45.2 +526,86.7,TRUE,Tutor,86.3 +527,75.5,FALSE,No tutor,54.7 +528,68.6,TRUE,Tutor,75.9 +529,75.5,FALSE,No tutor,67.7 +530,85.2,FALSE,No tutor,58.8 +531,74.7,FALSE,No tutor,68.2 +532,89,FALSE,No tutor,76.2 +533,87,FALSE,No tutor,54.6 +534,54.4,FALSE,No tutor,53.9 +535,71.4,FALSE,No tutor,44 +536,89.6,TRUE,Tutor,80.3 +537,77.7,FALSE,No tutor,69.7 +538,66,TRUE,Tutor,72.9 +539,89.4,FALSE,No tutor,57.4 +540,83.5,FALSE,No tutor,62.3 +541,56.1,TRUE,Tutor,57.7 +542,84.6,TRUE,Tutor,77.4 +543,95.5,FALSE,No tutor,71.3 +544,69.8,TRUE,Tutor,73.5 +545,94,FALSE,No tutor,62.2 +546,94.3,FALSE,No tutor,74.6 +547,76.6,FALSE,No tutor,58.4 +548,76.8,FALSE,No tutor,50.5 +549,78.3,TRUE,Tutor,74.5 +550,72.4,FALSE,No tutor,72.2 +551,87.2,TRUE,Tutor,83.1 +552,75.7,FALSE,No tutor,57.9 +553,85.3,FALSE,No tutor,57.2 +554,78.9,FALSE,No tutor,62.8 +555,91.9,FALSE,No tutor,63.8 +556,79.6,FALSE,No tutor,56.8 +557,76,FALSE,No tutor,54.2 +558,87.5,FALSE,No tutor,62.5 +559,77.1,TRUE,Tutor,75 +560,86.9,FALSE,No tutor,59.7 +561,86.9,FALSE,No tutor,72.2 +562,81,FALSE,No tutor,62.7 +563,68.4,TRUE,Tutor,73 +564,81,FALSE,No tutor,61.6 +565,74.4,FALSE,No tutor,58.1 +566,56.8,TRUE,Tutor,64.2 +567,82.2,FALSE,No tutor,65.9 +568,79.5,FALSE,No tutor,61.2 +569,68,TRUE,Tutor,76.8 +570,92.8,FALSE,No tutor,62.6 +571,67.2,TRUE,Tutor,66.4 +572,85.5,TRUE,Tutor,73.2 +573,91.8,FALSE,No tutor,72.2 +574,96.1,FALSE,No tutor,84.5 +575,87.7,FALSE,No tutor,62.6 +576,92.1,FALSE,No tutor,73 +577,92.2,FALSE,No tutor,66 +578,92.4,FALSE,No tutor,79.1 +579,67.2,FALSE,No tutor,46.8 +580,89.5,TRUE,Tutor,82.5 +581,86.5,FALSE,No tutor,68.7 +582,83.9,FALSE,No tutor,70.9 +583,74.4,FALSE,No tutor,65.9 +584,83.1,FALSE,No tutor,74.4 +585,60.5,TRUE,Tutor,64.3 +586,82.3,FALSE,No tutor,62.3 +587,97.8,FALSE,No tutor,75.3 +588,79.3,FALSE,No tutor,67.7 +589,96.5,FALSE,No tutor,69.9 +590,57.6,TRUE,Tutor,69 +591,88,FALSE,No tutor,73.3 +592,91.6,FALSE,No tutor,78.8 +593,86.2,FALSE,No tutor,63.2 +594,66.3,TRUE,Tutor,73 +595,73.2,FALSE,No tutor,52.9 +596,90.3,FALSE,No tutor,71.4 +597,77.9,FALSE,No tutor,63.9 +598,66.7,TRUE,Tutor,73.5 +599,41.3,TRUE,Tutor,53.4 +600,75.5,FALSE,No tutor,62.7 +601,87.5,FALSE,No tutor,80 +602,82.5,FALSE,No tutor,61.3 +603,61,TRUE,Tutor,78.4 +604,57.8,TRUE,Tutor,66.8 +605,69.2,TRUE,Tutor,80.1 +606,81.1,FALSE,No tutor,63.2 +607,92.6,FALSE,No tutor,57.5 +608,83.3,TRUE,Tutor,72.4 +609,85.7,FALSE,No tutor,56.7 +610,71.8,FALSE,No tutor,67.7 +611,64.1,TRUE,Tutor,61.8 +612,92.1,FALSE,No tutor,69.6 +613,84.4,FALSE,No tutor,66.3 +614,75.3,FALSE,No tutor,53.2 +615,83.4,TRUE,Tutor,79.7 +616,92.4,FALSE,No tutor,73.9 +617,99,FALSE,No tutor,78.6 +618,78.2,FALSE,No tutor,73.1 +619,78.3,FALSE,No tutor,63.6 +620,37,TRUE,Tutor,53.8 +621,97.1,FALSE,No tutor,67.5 +622,87.1,FALSE,No tutor,70.2 +623,59.2,TRUE,Tutor,71.1 +624,71.5,FALSE,No tutor,61.7 +625,75.7,TRUE,Tutor,69.2 +626,86.6,FALSE,No tutor,66.1 +627,74.2,TRUE,Tutor,63 +628,81.5,FALSE,No tutor,50 +629,75.8,TRUE,Tutor,57.9 +630,86.1,FALSE,No tutor,71.3 +631,46.3,TRUE,Tutor,58.8 +632,83.3,FALSE,No tutor,69.4 +633,82.5,FALSE,No tutor,67.8 +634,83.1,FALSE,No tutor,62.9 +635,82.4,FALSE,No tutor,69.8 +636,76.1,FALSE,No tutor,71 +637,70.7,FALSE,No tutor,62.2 +638,64.2,TRUE,Tutor,54.4 +639,81.9,FALSE,No tutor,49.7 +640,89.9,FALSE,No tutor,73 +641,94.1,FALSE,No tutor,65.1 +642,77.1,FALSE,No tutor,64.5 +643,76.9,FALSE,No tutor,64.4 +644,75.9,TRUE,Tutor,77.8 +645,79.4,TRUE,Tutor,84.8 +646,76,FALSE,No tutor,56.2 +647,76.2,FALSE,No tutor,74.2 +648,88.1,FALSE,No tutor,71.7 +649,70.4,FALSE,No tutor,46.6 +650,91.4,FALSE,No tutor,69.9 +651,94.3,FALSE,No tutor,70.6 +652,79.8,FALSE,No tutor,57.7 +653,91.5,FALSE,No tutor,62.3 +654,66.4,TRUE,Tutor,63 +655,80.1,FALSE,No tutor,61.7 +656,88.2,FALSE,No tutor,56.2 +657,79.6,FALSE,No tutor,49.8 +658,43.8,TRUE,Tutor,55.1 +659,79.6,FALSE,No tutor,66.4 +660,82.8,FALSE,No tutor,66.3 +661,70.9,FALSE,No tutor,57.6 +662,55.2,TRUE,Tutor,67.5 +663,90.9,FALSE,No tutor,65.1 +664,80.7,FALSE,No tutor,74 +665,53.8,TRUE,Tutor,42.8 +666,71.5,TRUE,Tutor,69.4 +667,80.8,TRUE,Tutor,75.9 +668,93.2,FALSE,No tutor,67.1 +669,82.1,FALSE,No tutor,69.1 +670,80.7,FALSE,No tutor,66.5 +671,79.1,FALSE,No tutor,64.4 +672,37.9,TRUE,Tutor,44.2 +673,84.6,FALSE,No tutor,61.5 +674,95,FALSE,No tutor,71.1 +675,68.3,TRUE,Tutor,70.5 +676,79.6,FALSE,No tutor,66.6 +677,81,FALSE,No tutor,74.5 +678,65.2,TRUE,Tutor,62.4 +679,99.4,FALSE,No tutor,71 +680,85.8,FALSE,No tutor,75.1 +681,80.2,FALSE,No tutor,66.5 +682,65.9,TRUE,Tutor,56.7 +683,81.9,FALSE,No tutor,54.9 +684,90.6,FALSE,No tutor,78.6 +685,70.9,TRUE,Tutor,63.7 +686,77.5,TRUE,Tutor,72.7 +687,75.9,FALSE,No tutor,59.8 +688,51.6,TRUE,Tutor,67 +689,85.6,FALSE,No tutor,69.4 +690,92.7,FALSE,No tutor,83.5 +691,93,FALSE,No tutor,76.8 +692,90.8,FALSE,No tutor,72.7 +693,93.8,FALSE,No tutor,60.5 +694,78.6,FALSE,No tutor,71.6 +695,79.4,FALSE,No tutor,62.3 +696,61.8,TRUE,Tutor,65.2 +697,91.5,FALSE,No tutor,79.8 +698,81.3,FALSE,No tutor,63.4 +699,66.7,TRUE,Tutor,54.5 +700,83.2,FALSE,No tutor,58.6 +701,61.6,FALSE,No tutor,46 +702,63.8,FALSE,No tutor,58.5 +703,86.7,FALSE,No tutor,60.2 +704,88.3,FALSE,No tutor,77.6 +705,80.8,FALSE,No tutor,66.7 +706,77.7,FALSE,No tutor,63 +707,78.7,TRUE,Tutor,70.1 +708,86,TRUE,Tutor,72 +709,89.9,FALSE,No tutor,73.4 +710,91.8,FALSE,No tutor,74.5 +711,58.3,TRUE,Tutor,66.8 +712,90.5,FALSE,No tutor,74.4 +713,44.2,TRUE,Tutor,58.1 +714,80,FALSE,No tutor,57.6 +715,85.6,FALSE,No tutor,64 +716,91.3,FALSE,No tutor,73.9 +717,78.1,FALSE,No tutor,69.1 +718,81.4,FALSE,No tutor,66.5 +719,75,FALSE,No tutor,64.1 +720,86.4,FALSE,No tutor,57.6 +721,65.3,FALSE,No tutor,70.4 +722,63.3,TRUE,Tutor,73.5 +723,53.9,FALSE,No tutor,46.8 +724,74.3,FALSE,No tutor,56.6 +725,86,FALSE,No 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+983,1,29,729,1,1230 +984,0,38,835,1,1305 +985,0,21,817,1,1132 +986,1,31,730,1,1238 +987,1,35,806,1,1292 +988,0,34,724,0,1159 +989,1,37,854,0,1219 +990,1,37,661,0,1208 +991,1,44,816,0,1276 +992,0,34,885,0,1160 +993,0,27,820,1,1187 +994,1,34,722,1,1271 +995,0,33,692,0,1151 +996,1,35,638,1,1295 +997,0,50,846,1,1418 +998,1,41,818,1,1351 +999,0,53,806,1,1443 +1000,1,46,869,0,1296 diff --git a/docs/files/data/generated_data/village_randomized.csv b/docs/files/data/generated_data/village_randomized.csv new file mode 100644 index 00000000..e9d3f77f --- /dev/null +++ b/docs/files/data/generated_data/village_randomized.csv @@ -0,0 +1,1001 @@ +id,sex,age,pre_income,program,post_income,sex_num,program_num +1,Male,45,979,No program,1281,1,0 +2,Female,23,664,No program,1041,0,0 +3,Female,42,729,No program,1247,0,0 +4,Female,34,744,Program,1249,0,1 +5,Female,53,769,No program,1343,0,0 +6,Female,33,762,Program,1251,0,1 +7,Male,20,846,Program,1136,1,1 +8,Male,40,674,Program,1329,1,1 +9,Female,39,747,Program,1303,0,1 +10,Male,35,744,No program,1189,1,0 +11,Female,24,763,Program,1168,0,1 +12,Male,27,740,No program,1100,1,0 +13,Male,35,920,No program,1198,1,0 +14,Female,45,877,No program,1273,0,0 +15,Male,31,824,No program,1156,1,0 +16,Female,26,658,No program,1078,0,0 +17,Male,8,1093,Program,1026,1,1 +18,Male,40,894,Program,1346,1,1 +19,Male,39,923,No program,1230,1,0 +20,Male,48,611,No program,1315,1,0 +21,Male,50,778,Program,1432,1,1 +22,Male,34,877,No program,1183,1,0 +23,Male,48,839,Program,1422,1,1 +24,Male,35,861,Program,1290,1,1 +25,Male,28,859,Program,1227,1,1 +26,Female,27,756,No program,1081,0,0 +27,Male,32,775,No program,1153,1,0 +28,Female,37,707,No program,1196,0,0 +29,Female,35,909,No program,1159,0,0 +30,Male,37,606,No program,1211,1,0 +31,Male,37,772,Program,1301,1,1 +32,Male,42,881,Program,1357,1,1 +33,Male,32,779,No program,1163,1,0 +34,Male,51,945,No program,1352,1,0 +35,Male,39,884,No program,1236,1,0 +36,Female,23,713,Program,1144,0,1 +37,Male,32,794,No program,1159,1,0 +38,Male,40,801,No program,1240,1,0 +39,Female,31,827,No program,1129,0,0 +40,Female,38,747,No program,1199,0,0 +41,Male,39,738,No program,1244,1,0 +42,Female,48,774,No program,1294,0,0 +43,Male,28,891,No program,1120,1,0 +44,Female,35,912,No program,1167,0,0 +45,Male,29,740,No program,1126,1,0 +46,Male,24,806,No program,1074,1,0 +47,Female,17,700,Program,1085,0,1 +48,Male,37,724,Program,1311,1,1 +49,Male,41,739,Program,1352,1,1 +50,Female,41,668,No program,1228,0,0 +51,Male,21,599,Program,1151,1,1 +52,Male,24,877,Program,1176,1,1 +53,Female,24,841,No program,1051,0,0 +54,Male,28,717,No program,1113,1,0 +55,Male,37,896,No program,1209,1,0 +56,Male,41,981,No program,1243,1,0 +57,Male,27,545,No program,1119,1,0 +58,Female,6,915,Program,979,0,1 +59,Male,45,923,No program,1290,1,0 +60,Female,41,815,No program,1237,0,0 +61,Female,28,748,No program,1104,0,0 +62,Male,24,690,No program,1087,1,0 +63,Male,32,712,Program,1265,1,1 +64,Male,36,736,Program,1304,1,1 +65,Male,42,589,No program,1261,1,0 +66,Female,49,735,No program,1310,0,0 +67,Male,27,899,Program,1207,1,1 +68,Male,38,725,No program,1214,1,0 +69,Male,48,957,Program,1425,1,1 +70,Male,26,795,Program,1192,1,1 +71,Male,33,811,Program,1265,1,1 +72,Female,17,848,No program,986,0,0 +73,Male,38,706,Program,1313,1,1 +74,Female,29,723,No program,1101,0,0 +75,Male,26,758,No program,1107,1,0 +76,Male,27,977,Program,1206,1,1 +77,Male,39,843,No program,1232,1,0 +78,Male,13,791,Program,1071,1,1 +79,Male,31,688,No program,1146,1,0 +80,Female,25,791,Program,1159,0,1 +81,Female,25,839,Program,1170,0,1 +82,Male,40,764,No program,1231,1,0 +83,Male,39,711,Program,1329,1,1 +84,Male,34,705,Program,1279,1,1 +85,Male,40,778,No program,1249,1,0 +86,Female,29,834,Program,1212,0,1 +87,Male,15,897,No program,995,1,0 +88,Male,47,666,Program,1401,1,1 +89,Male,33,720,Program,1260,1,1 +90,Female,31,595,Program,1229,0,1 +91,Male,37,811,Program,1306,1,1 +92,Female,43,872,Program,1341,0,1 +93,Male,39,825,No program,1234,1,0 +94,Male,44,923,No program,1279,1,0 +95,Male,35,858,No program,1196,1,0 +96,Male,30,741,No program,1136,1,0 +97,Male,32,945,No program,1165,1,0 +98,Male,43,844,Program,1367,1,1 +99,Male,27,858,Program,1204,1,1 +100,Female,25,708,No program,1070,0,0 +101,Male,38,775,Program,1322,1,1 +102,Male,41,678,Program,1354,1,1 +103,Male,18,793,Program,1123,1,1 +104,Male,43,936,Program,1365,1,1 +105,Male,35,754,Program,1295,1,1 +106,Male,33,807,No program,1173,1,0 +107,Male,46,878,Program,1400,1,1 +108,Male,50,641,Program,1432,1,1 +109,Male,24,663,No program,1077,1,0 +110,Male,45,707,No program,1282,1,0 +111,Female,29,830,No program,1096,0,0 +112,Male,36,808,No program,1200,1,0 +113,Female,40,925,No program,1211,0,0 +114,Male,36,677,Program,1303,1,1 +115,Male,20,756,Program,1151,1,1 +116,Female,30,590,No program,1115,0,0 +117,Female,50,962,Program,1422,0,1 +118,Male,37,908,No program,1211,1,0 +119,Male,27,736,Program,1197,1,1 +120,Female,28,775,Program,1196,0,1 +121,Female,46,787,Program,1384,0,1 +122,Female,38,980,No program,1202,0,0 +123,Female,26,804,Program,1178,0,1 +124,Female,35,841,Program,1276,0,1 +125,Male,41,870,Program,1353,1,1 +126,Male,52,869,No program,1352,1,0 +127,Male,26,633,Program,1206,1,1 +128,Male,31,874,No program,1149,1,0 +129,Male,45,708,No program,1284,1,0 +130,Male,30,797,No program,1135,1,0 +131,Female,50,607,Program,1404,0,1 +132,Female,45,821,No program,1274,0,0 +133,Male,18,699,Program,1127,1,1 +134,Male,39,582,Program,1322,1,1 +135,Female,21,633,Program,1118,0,1 +136,Male,20,658,No program,1046,1,0 +137,Female,36,855,No program,1178,0,0 +138,Male,36,831,No program,1197,1,0 +139,Female,35,869,Program,1262,0,1 +140,Female,48,747,No program,1293,0,0 +141,Male,38,818,Program,1312,1,1 +142,Female,28,841,No program,1104,0,0 +143,Male,36,791,No program,1199,1,0 +144,Male,30,689,No program,1133,1,0 +145,Male,34,913,No program,1186,1,0 +146,Female,24,967,Program,1152,0,1 +147,Female,34,1002,Program,1263,0,1 +148,Male,36,889,Program,1298,1,1 +149,Female,28,781,No program,1100,0,0 +150,Male,35,787,Program,1294,1,1 +151,Male,29,769,No program,1128,1,0 +152,Male,29,774,Program,1222,1,1 +153,Male,33,795,Program,1274,1,1 +154,Female,40,603,No program,1220,0,0 +155,Male,33,801,No program,1178,1,0 +156,Female,37,824,No program,1182,0,0 +157,Female,45,705,No program,1263,0,0 +158,Female,32,624,Program,1242,0,1 +159,Male,34,764,Program,1277,1,1 +160,Male,40,488,Program,1344,1,1 +161,Male,22,967,No program,1062,1,0 +162,Male,40,869,No program,1242,1,0 +163,Male,30,702,Program,1234,1,1 +164,Male,24,802,No program,1075,1,0 +165,Male,17,783,Program,1113,1,1 +166,Female,28,634,Program,1190,0,1 +167,Male,23,712,Program,1169,1,1 +168,Male,23,897,No program,1077,1,0 +169,Female,51,684,No program,1339,0,0 +170,Male,23,725,No program,1069,1,0 +171,Female,45,725,Program,1361,0,1 +172,Male,40,923,Program,1351,1,1 +173,Female,26,781,Program,1186,0,1 +174,Male,29,855,Program,1228,1,1 +175,Male,31,877,Program,1250,1,1 +176,Female,37,762,No program,1193,0,0 +177,Male,32,687,Program,1258,1,1 +178,Male,43,817,Program,1378,1,1 +179,Male,32,764,No program,1153,1,0 +180,Male,13,944,No program,967,1,0 +181,Male,34,748,Program,1277,1,1 +182,Male,16,769,No program,999,1,0 +183,Female,44,868,No program,1268,0,0 +184,Male,28,734,No program,1117,1,0 +185,Female,24,798,Program,1157,0,1 +186,Male,29,850,No program,1126,1,0 +187,Female,41,760,Program,1319,0,1 +188,Female,16,679,No program,973,0,0 +189,Male,38,831,No program,1207,1,0 +190,Female,25,772,Program,1168,0,1 +191,Female,35,598,No program,1166,0,0 +192,Female,42,827,No program,1237,0,0 +193,Male,41,813,No program,1249,1,0 +194,Female,50,632,Program,1425,0,1 +195,Female,36,747,No program,1183,0,0 +196,Female,28,782,No program,1088,0,0 +197,Female,57,744,Program,1480,0,1 +198,Female,32,855,Program,1243,0,1 +199,Female,43,642,Program,1348,0,1 +200,Female,44,705,No program,1259,0,0 +201,Female,40,755,Program,1319,0,1 +202,Male,49,944,Program,1432,1,1 +203,Male,33,784,No program,1173,1,0 +204,Female,23,698,No program,1044,0,0 +205,Male,31,954,No program,1157,1,0 +206,Female,30,777,No program,1112,0,0 +207,Male,38,855,No program,1225,1,0 +208,Male,26,912,Program,1198,1,1 +209,Male,42,841,No program,1257,1,0 +210,Female,23,930,No program,1060,0,0 +211,Male,53,721,No program,1364,1,0 +212,Male,49,960,Program,1437,1,1 +213,Male,31,618,No program,1148,1,0 +214,Female,36,702,No program,1185,0,0 +215,Male,31,741,Program,1250,1,1 +216,Female,23,823,No program,1041,0,0 +217,Female,8,753,Program,1008,0,1 +218,Female,35,858,Program,1256,0,1 +219,Male,35,842,Program,1289,1,1 +220,Female,51,868,Program,1427,0,1 +221,Male,15,948,No program,990,1,0 +222,Male,28,657,Program,1222,1,1 +223,Male,44,897,Program,1369,1,1 +224,Male,38,773,No program,1220,1,0 +225,Male,36,720,Program,1294,1,1 +226,Male,29,622,Program,1221,1,1 +227,Female,37,715,No program,1188,0,0 +228,Male,33,770,No program,1163,1,0 +229,Male,36,606,Program,1303,1,1 +230,Male,29,764,Program,1226,1,1 +231,Female,47,851,Program,1384,0,1 +232,Male,46,670,Program,1395,1,1 +233,Male,48,800,No program,1313,1,0 +234,Female,31,666,No program,1131,0,0 +235,Male,32,795,Program,1257,1,1 +236,Male,31,889,Program,1250,1,1 +237,Female,49,582,No program,1303,0,0 +238,Male,32,1031,No program,1152,1,0 +239,Male,36,683,Program,1294,1,1 +240,Female,39,894,Program,1306,0,1 +241,Male,42,1008,Program,1356,1,1 +242,Male,32,706,Program,1258,1,1 +243,Male,58,732,Program,1513,1,1 +244,Female,26,902,Program,1177,0,1 +245,Female,21,718,Program,1120,0,1 +246,Male,35,704,No program,1192,1,0 +247,Female,53,958,Program,1447,0,1 +248,Male,36,977,No program,1197,1,0 +249,Female,36,777,Program,1279,0,1 +250,Female,44,1028,Program,1354,0,1 +251,Male,34,990,No program,1175,1,0 +252,Male,36,793,No program,1205,1,0 +253,Male,47,719,No program,1310,1,0 +254,Male,36,733,Program,1292,1,1 +255,Male,27,940,No program,1105,1,0 +256,Male,39,854,No program,1231,1,0 +257,Male,24,864,No program,1082,1,0 +258,Male,20,799,Program,1149,1,1 +259,Male,34,818,Program,1282,1,1 +260,Male,24,751,No program,1090,1,0 +261,Female,41,914,No program,1221,0,0 +262,Male,34,767,No program,1168,1,0 +263,Male,27,999,Program,1206,1,1 +264,Male,51,859,No program,1349,1,0 +265,Male,34,899,No program,1182,1,0 +266,Male,49,948,Program,1434,1,1 +267,Female,34,795,No program,1163,0,0 +268,Male,32,623,No program,1148,1,0 +269,Male,39,739,Program,1326,1,1 +270,Female,45,859,No program,1275,0,0 +271,Male,62,920,Program,1561,1,1 +272,Female,25,821,Program,1172,0,1 +273,Male,33,884,Program,1267,1,1 +274,Female,46,894,Program,1380,0,1 +275,Male,38,903,Program,1324,1,1 +276,Male,33,875,No program,1173,1,0 +277,Female,22,781,No program,1031,0,0 +278,Male,32,902,Program,1266,1,1 +279,Male,33,750,No program,1174,1,0 +280,Male,34,835,No program,1182,1,0 +281,Male,51,749,Program,1448,1,1 +282,Male,30,848,No program,1151,1,0 +283,Female,19,850,Program,1111,0,1 +284,Female,40,789,Program,1321,0,1 +285,Female,34,803,Program,1255,0,1 +286,Male,33,843,No program,1168,1,0 +287,Male,41,687,Program,1339,1,1 +288,Male,6,902,Program,994,1,1 +289,Female,29,827,No program,1120,0,0 +290,Female,33,855,Program,1252,0,1 +291,Female,41,783,No program,1223,0,0 +292,Male,32,612,Program,1254,1,1 +293,Female,25,875,No program,1071,0,0 +294,Male,39,774,No program,1221,1,0 +295,Female,35,862,Program,1284,0,1 +296,Female,36,1005,Program,1287,0,1 +297,Female,47,684,No program,1290,0,0 +298,Male,30,935,Program,1236,1,1 +299,Female,23,763,No program,1038,0,0 +300,Male,22,794,Program,1162,1,1 +301,Male,25,747,Program,1190,1,1 +302,Female,21,750,No program,1030,0,0 +303,Male,35,685,No program,1179,1,0 +304,Male,53,813,No program,1378,1,0 +305,Female,34,847,No program,1161,0,0 +306,Male,43,781,No program,1265,1,0 +307,Male,24,638,Program,1178,1,1 +308,Female,33,760,No program,1150,0,0 +309,Male,41,841,Program,1351,1,1 +310,Female,31,728,No program,1124,0,0 +311,Female,43,741,No program,1240,0,0 +312,Female,42,683,No program,1240,0,0 +313,Male,29,859,Program,1229,1,1 +314,Male,27,733,No program,1107,1,0 +315,Male,59,1117,No program,1428,1,0 +316,Male,33,901,Program,1262,1,1 +317,Male,35,783,Program,1287,1,1 +318,Male,34,800,Program,1289,1,1 +319,Male,29,728,Program,1232,1,1 +320,Female,26,828,Program,1180,0,1 +321,Male,24,801,Program,1170,1,1 +322,Female,44,627,No program,1260,0,0 +323,Male,25,616,Program,1182,1,1 +324,Male,42,860,Program,1356,1,1 +325,Male,49,568,Program,1423,1,1 +326,Male,47,762,No program,1296,1,0 +327,Male,34,966,No program,1172,1,0 +328,Male,30,634,Program,1244,1,1 +329,Female,24,829,Program,1159,0,1 +330,Female,35,957,No program,1165,0,0 +331,Female,33,851,Program,1243,0,1 +332,Female,37,929,No program,1182,0,0 +333,Female,29,703,No program,1104,0,0 +334,Male,41,863,Program,1352,1,1 +335,Male,42,818,Program,1360,1,1 +336,Male,46,935,No program,1301,1,0 +337,Male,57,1049,No program,1419,1,0 +338,Male,37,811,Program,1311,1,1 +339,Female,29,910,No program,1111,0,0 +340,Male,34,760,Program,1282,1,1 +341,Female,19,764,Program,1112,0,1 +342,Male,36,745,No program,1201,1,0 +343,Male,31,665,No program,1146,1,0 +344,Female,39,807,Program,1301,0,1 +345,Male,32,796,Program,1257,1,1 +346,Male,21,872,Program,1153,1,1 +347,Male,35,779,No program,1185,1,0 +348,Female,21,708,Program,1133,0,1 +349,Female,44,787,No program,1257,0,0 +350,Male,17,984,Program,1111,1,1 +351,Male,34,845,No program,1177,1,0 +352,Female,40,827,No program,1212,0,0 +353,Male,20,906,No program,1042,1,0 +354,Female,49,979,No program,1311,0,0 +355,Female,26,971,Program,1182,0,1 +356,Female,30,757,Program,1224,0,1 +357,Male,37,792,No program,1207,1,0 +358,Female,32,764,Program,1241,0,1 +359,Male,25,780,Program,1185,1,1 +360,Female,39,845,Program,1313,0,1 +361,Male,30,752,Program,1241,1,1 +362,Male,40,683,No program,1236,1,0 +363,Male,30,776,Program,1237,1,1 +364,Male,25,945,Program,1187,1,1 +365,Female,34,985,Program,1260,0,1 +366,Female,41,760,Program,1330,0,1 +367,Female,37,883,No program,1192,0,0 +368,Male,34,787,Program,1280,1,1 +369,Female,16,788,Program,1072,0,1 +370,Female,50,733,Program,1411,0,1 +371,Female,35,642,No program,1161,0,0 +372,Male,26,980,Program,1201,1,1 +373,Female,33,880,Program,1256,0,1 +374,Male,38,621,Program,1309,1,1 +375,Male,20,765,No program,1041,1,0 +376,Male,42,955,No program,1258,1,0 +377,Female,37,811,No program,1195,0,0 +378,Male,47,819,Program,1405,1,1 +379,Male,45,885,Program,1383,1,1 +380,Female,30,899,No program,1118,0,0 +381,Male,30,863,Program,1239,1,1 +382,Male,25,842,No program,1082,1,0 +383,Male,31,947,Program,1257,1,1 +384,Male,44,971,No program,1281,1,0 +385,Male,53,823,Program,1469,1,1 +386,Male,44,779,No program,1284,1,0 +387,Female,17,801,No program,980,0,0 +388,Male,43,835,Program,1368,1,1 +389,Female,45,732,No program,1280,0,0 +390,Female,41,864,Program,1334,0,1 +391,Female,26,671,No program,1076,0,0 +392,Female,46,1023,No program,1275,0,0 +393,Female,42,552,No program,1235,0,0 +394,Female,42,817,No program,1241,0,0 +395,Male,31,794,Program,1251,1,1 +396,Female,43,855,Program,1352,0,1 +397,Male,36,759,No program,1205,1,0 +398,Male,34,1040,No program,1189,1,0 +399,Male,50,786,Program,1426,1,1 +400,Male,43,802,No program,1268,1,0 +401,Female,6,912,No program,880,0,0 +402,Male,31,870,No program,1150,1,0 +403,Female,20,818,No program,1016,0,0 +404,Female,41,783,Program,1331,0,1 +405,Male,31,777,Program,1240,1,1 +406,Male,44,665,No program,1280,1,0 +407,Female,40,863,No program,1210,0,0 +408,Male,35,845,No program,1192,1,0 +409,Female,34,696,No program,1170,0,0 +410,Male,31,781,No program,1159,1,0 +411,Female,37,929,Program,1294,0,1 +412,Female,24,927,No program,1054,0,0 +413,Female,42,678,No program,1242,0,0 +414,Male,31,880,No program,1154,1,0 +415,Female,28,813,Program,1192,0,1 +416,Male,32,839,No program,1155,1,0 +417,Male,54,713,Program,1473,1,1 +418,Female,17,779,Program,1097,0,1 +419,Male,32,594,No program,1149,1,0 +420,Male,36,726,No program,1198,1,0 +421,Female,30,769,No program,1109,0,0 +422,Female,31,930,Program,1232,0,1 +423,Male,39,694,No program,1219,1,0 +424,Male,37,830,Program,1305,1,1 +425,Female,28,809,Program,1194,0,1 +426,Male,41,664,Program,1342,1,1 +427,Male,37,828,No program,1209,1,0 +428,Male,42,958,No program,1252,1,0 +429,Male,22,894,Program,1164,1,1 +430,Male,27,913,Program,1214,1,1 +431,Female,33,779,No program,1147,0,0 +432,Female,45,896,Program,1366,0,1 +433,Male,30,563,Program,1237,1,1 +434,Female,25,675,Program,1166,0,1 +435,Male,43,783,Program,1367,1,1 +436,Female,40,811,No program,1216,0,0 +437,Male,23,852,Program,1169,1,1 +438,Female,55,872,No program,1373,0,0 +439,Female,50,754,Program,1417,0,1 +440,Male,21,752,Program,1142,1,1 +441,Female,57,765,Program,1490,0,1 +442,Female,18,744,No program,993,0,0 +443,Female,36,788,Program,1283,0,1 +444,Male,24,888,Program,1172,1,1 +445,Female,31,846,Program,1238,0,1 +446,Male,32,756,No program,1149,1,0 +447,Female,38,731,Program,1298,0,1 +448,Female,24,790,No program,1056,0,0 +449,Female,7,779,Program,993,0,1 +450,Male,34,922,Program,1283,1,1 +451,Male,28,573,No program,1121,1,0 +452,Female,37,703,No program,1194,0,0 +453,Female,27,862,Program,1184,0,1 +454,Female,43,866,No program,1248,0,0 +455,Female,35,735,No program,1162,0,0 +456,Female,41,779,No program,1232,0,0 +457,Male,25,980,Program,1194,1,1 +458,Female,33,690,No program,1155,0,0 +459,Male,38,978,No program,1221,1,0 +460,Male,34,832,Program,1274,1,1 +461,Male,52,905,No program,1355,1,0 +462,Female,15,747,No program,968,0,0 +463,Male,43,688,No program,1258,1,0 +464,Male,35,840,Program,1287,1,1 +465,Male,44,842,No program,1283,1,0 +466,Male,34,757,Program,1281,1,1 +467,Male,8,712,No program,917,1,0 +468,Male,39,930,No program,1236,1,0 +469,Female,33,666,No program,1146,0,0 +470,Male,25,943,Program,1185,1,1 +471,Male,28,741,No program,1125,1,0 +472,Male,36,612,No program,1195,1,0 +473,Male,60,1018,No program,1433,1,0 +474,Female,37,838,Program,1287,0,1 +475,Male,25,693,Program,1190,1,1 +476,Female,54,762,Program,1461,0,1 +477,Male,31,721,No program,1138,1,0 +478,Male,27,832,No program,1107,1,0 +479,Female,23,813,No program,1051,0,0 +480,Male,28,676,No program,1113,1,0 +481,Male,54,826,No program,1380,1,0 +482,Male,44,733,Program,1384,1,1 +483,Female,42,863,No program,1256,0,0 +484,Male,36,860,Program,1302,1,1 +485,Male,38,797,No program,1221,1,0 +486,Male,41,721,Program,1340,1,1 +487,Female,37,753,No program,1186,0,0 +488,Female,37,699,No program,1184,0,0 +489,Female,45,883,Program,1356,0,1 +490,Male,33,935,No program,1176,1,0 +491,Male,38,805,Program,1322,1,1 +492,Female,26,834,No program,1071,0,0 +493,Female,51,779,No program,1335,0,0 +494,Male,49,822,No program,1323,1,0 +495,Female,17,987,Program,1083,0,1 +496,Male,33,826,Program,1262,1,1 +497,Female,40,933,No program,1225,0,0 +498,Male,40,825,Program,1335,1,1 +499,Female,43,662,Program,1344,0,1 +500,Male,31,681,No program,1142,1,0 +501,Female,23,703,Program,1144,0,1 +502,Female,38,790,Program,1301,0,1 +503,Female,20,789,Program,1110,0,1 +504,Male,41,919,Program,1352,1,1 +505,Female,42,634,Program,1336,0,1 +506,Female,16,695,No program,982,0,0 +507,Female,44,626,No program,1269,0,0 +508,Female,33,851,No program,1144,0,0 +509,Male,28,755,Program,1225,1,1 +510,Female,39,616,No program,1222,0,0 +511,Male,48,718,No program,1319,1,0 +512,Female,51,700,Program,1428,0,1 +513,Female,23,830,Program,1153,0,1 +514,Male,31,856,No program,1144,1,0 +515,Male,36,673,Program,1298,1,1 +516,Female,36,903,No program,1180,0,0 +517,Female,31,847,No program,1124,0,0 +518,Male,12,823,Program,1055,1,1 +519,Female,32,826,No program,1137,0,0 +520,Male,23,843,No program,1060,1,0 +521,Female,35,897,No program,1176,0,0 +522,Male,27,747,No program,1106,1,0 +523,Male,34,805,No program,1176,1,0 +524,Female,28,1079,No program,1089,0,0 +525,Male,31,691,Program,1248,1,1 +526,Female,31,830,No program,1128,0,0 +527,Male,48,656,Program,1418,1,1 +528,Male,42,821,Program,1365,1,1 +529,Female,33,897,No program,1151,0,0 +530,Male,23,565,No program,1067,1,0 +531,Male,45,742,No program,1292,1,0 +532,Female,21,1025,No program,1027,0,0 +533,Male,23,723,No program,1069,1,0 +534,Female,27,658,Program,1186,0,1 +535,Male,25,846,No program,1090,1,0 +536,Female,26,728,Program,1179,0,1 +537,Female,48,948,No program,1299,0,0 +538,Female,34,908,Program,1260,0,1 +539,Female,28,880,No program,1110,0,0 +540,Male,42,657,Program,1345,1,1 +541,Male,37,836,No program,1201,1,0 +542,Female,23,838,No program,1050,0,0 +543,Female,29,592,No program,1112,0,0 +544,Male,40,863,Program,1344,1,1 +545,Female,55,830,Program,1460,0,1 +546,Male,51,694,Program,1438,1,1 +547,Female,43,779,No program,1253,0,0 +548,Female,35,1005,Program,1271,0,1 +549,Female,18,878,No program,988,0,0 +550,Female,28,672,Program,1201,0,1 +551,Male,33,809,No program,1174,1,0 +552,Male,40,975,Program,1338,1,1 +553,Female,36,803,Program,1280,0,1 +554,Male,36,749,No program,1194,1,0 +555,Female,53,916,No program,1354,0,0 +556,Female,39,753,No program,1211,0,0 +557,Male,32,777,No program,1160,1,0 +558,Male,31,886,Program,1251,1,1 +559,Female,36,978,Program,1277,0,1 +560,Female,27,717,No program,1081,0,0 +561,Male,49,777,No program,1326,1,0 +562,Female,32,793,Program,1250,0,1 +563,Female,30,889,Program,1219,0,1 +564,Female,26,954,Program,1183,0,1 +565,Male,44,969,No program,1272,1,0 +566,Female,22,777,No program,1038,0,0 +567,Female,30,893,Program,1227,0,1 +568,Female,38,713,Program,1298,0,1 +569,Male,34,746,No program,1177,1,0 +570,Male,38,680,Program,1313,1,1 +571,Female,22,690,Program,1134,0,1 +572,Female,31,859,Program,1216,0,1 +573,Male,18,873,No program,1024,1,0 +574,Female,27,822,Program,1181,0,1 +575,Male,46,724,Program,1396,1,1 +576,Male,38,830,No program,1211,1,0 +577,Male,36,680,Program,1297,1,1 +578,Male,26,624,Program,1194,1,1 +579,Male,29,750,No program,1133,1,0 +580,Female,25,759,No program,1071,0,0 +581,Female,36,705,No program,1170,0,0 +582,Male,43,600,Program,1364,1,1 +583,Male,38,758,Program,1312,1,1 +584,Male,29,853,Program,1229,1,1 +585,Male,41,879,Program,1351,1,1 +586,Male,39,960,Program,1334,1,1 +587,Male,43,804,No program,1278,1,0 +588,Female,31,1028,Program,1230,0,1 +589,Female,23,845,Program,1156,0,1 +590,Female,34,784,No program,1167,0,0 +591,Female,38,607,Program,1293,0,1 +592,Female,51,1043,No program,1341,0,0 +593,Male,34,941,Program,1284,1,1 +594,Male,39,863,Program,1345,1,1 +595,Male,34,912,Program,1292,1,1 +596,Female,57,904,No program,1390,0,0 +597,Female,48,886,No program,1300,0,0 +598,Female,33,894,No program,1149,0,0 +599,Female,34,906,Program,1256,0,1 +600,Male,35,731,No program,1186,1,0 +601,Male,36,773,Program,1314,1,1 +602,Male,29,812,No program,1134,1,0 +603,Male,36,714,Program,1297,1,1 +604,Male,28,1018,No program,1121,1,0 +605,Male,24,668,No program,1069,1,0 +606,Male,43,814,No program,1265,1,0 +607,Female,42,721,Program,1326,0,1 +608,Male,29,809,No program,1136,1,0 +609,Male,48,817,Program,1417,1,1 +610,Male,33,795,Program,1264,1,1 +611,Male,32,491,Program,1267,1,1 +612,Female,25,550,Program,1177,0,1 +613,Male,35,872,No program,1189,1,0 +614,Male,34,711,No program,1178,1,0 +615,Female,36,810,Program,1270,0,1 +616,Male,39,880,No program,1232,1,0 +617,Male,44,783,No program,1282,1,0 +618,Female,38,729,No program,1196,0,0 +619,Female,45,777,No program,1282,0,0 +620,Male,46,961,Program,1403,1,1 +621,Female,6,956,Program,982,0,1 +622,Male,31,995,No program,1154,1,0 +623,Female,41,950,Program,1320,0,1 +624,Female,24,641,Program,1162,0,1 +625,Male,25,614,No program,1099,1,0 +626,Female,38,807,No program,1198,0,0 +627,Male,31,782,Program,1242,1,1 +628,Female,18,652,Program,1098,0,1 +629,Male,44,601,No program,1281,1,0 +630,Male,27,925,Program,1202,1,1 +631,Female,39,967,No program,1205,0,0 +632,Female,39,826,No program,1211,0,0 +633,Male,50,817,No program,1346,1,0 +634,Male,37,788,Program,1320,1,1 +635,Female,42,751,Program,1330,0,1 +636,Female,46,661,No program,1280,0,0 +637,Male,31,780,No program,1155,1,0 +638,Female,18,695,No program,1003,0,0 +639,Male,36,819,Program,1307,1,1 +640,Male,48,871,Program,1418,1,1 +641,Male,21,771,Program,1147,1,1 +642,Male,45,948,Program,1393,1,1 +643,Male,34,968,Program,1279,1,1 +644,Female,36,924,No program,1186,0,0 +645,Male,32,659,No program,1147,1,0 +646,Male,45,646,Program,1396,1,1 +647,Male,49,808,Program,1432,1,1 +648,Female,51,816,No program,1320,0,0 +649,Male,25,867,No program,1101,1,0 +650,Female,43,653,Program,1345,0,1 +651,Male,31,772,No program,1149,1,0 +652,Female,25,835,Program,1174,0,1 +653,Female,39,634,Program,1306,0,1 +654,Male,35,819,Program,1286,1,1 +655,Male,43,990,Program,1366,1,1 +656,Male,53,648,No program,1370,1,0 +657,Female,45,933,Program,1368,0,1 +658,Male,28,905,Program,1221,1,1 +659,Male,36,906,No program,1203,1,0 +660,Female,49,943,No program,1309,0,0 +661,Female,47,802,Program,1390,0,1 +662,Female,19,820,Program,1113,0,1 +663,Female,44,701,Program,1362,0,1 +664,Male,32,852,Program,1258,1,1 +665,Male,29,927,No program,1119,1,0 +666,Male,24,819,No program,1074,1,0 +667,Female,32,918,Program,1239,0,1 +668,Male,42,924,No program,1266,1,0 +669,Male,49,671,No program,1326,1,0 +670,Female,36,834,Program,1275,0,1 +671,Male,34,752,No program,1182,1,0 +672,Female,33,783,Program,1249,0,1 +673,Male,45,783,No program,1277,1,0 +674,Male,24,688,No program,1080,1,0 +675,Female,38,894,Program,1293,0,1 +676,Female,45,709,No program,1272,0,0 +677,Male,46,849,No program,1290,1,0 +678,Female,39,620,No program,1207,0,0 +679,Male,23,763,No program,1069,1,0 +680,Female,27,779,No program,1093,0,0 +681,Male,28,734,No program,1114,1,0 +682,Male,21,782,No program,1043,1,0 +683,Female,35,904,Program,1264,0,1 +684,Male,47,859,No program,1312,1,0 +685,Female,11,721,Program,1021,0,1 +686,Male,43,779,Program,1369,1,1 +687,Female,33,790,No program,1154,0,0 +688,Male,27,762,No program,1110,1,0 +689,Male,43,787,Program,1358,1,1 +690,Male,41,771,No program,1252,1,0 +691,Female,36,1014,No program,1180,0,0 +692,Male,26,829,Program,1193,1,1 +693,Male,28,855,No program,1115,1,0 +694,Male,19,742,No program,1029,1,0 +695,Male,54,824,No program,1384,1,0 +696,Male,33,829,No program,1167,1,0 +697,Male,27,840,No program,1111,1,0 +698,Male,13,818,No program,962,1,0 +699,Male,31,998,Program,1251,1,1 +700,Female,30,603,Program,1216,0,1 +701,Male,21,854,No program,1054,1,0 +702,Male,59,853,Program,1528,1,1 +703,Female,44,729,Program,1353,0,1 +704,Male,20,806,No program,1025,1,0 +705,Male,46,709,Program,1405,1,1 +706,Male,45,726,No program,1299,1,0 +707,Male,41,579,No program,1250,1,0 +708,Female,39,927,No program,1206,0,0 +709,Male,36,745,Program,1299,1,1 +710,Male,41,861,Program,1351,1,1 +711,Female,25,773,No program,1065,0,0 +712,Female,29,1002,Program,1207,0,1 +713,Female,25,824,Program,1175,0,1 +714,Male,33,1022,Program,1279,1,1 +715,Male,36,816,Program,1306,1,1 +716,Male,41,945,Program,1344,1,1 +717,Male,40,812,No program,1238,1,0 +718,Male,49,835,Program,1428,1,1 +719,Female,41,776,Program,1334,0,1 +720,Male,48,810,No program,1306,1,0 +721,Female,46,872,No program,1274,0,0 +722,Male,29,849,No program,1131,1,0 +723,Female,43,636,Program,1348,0,1 +724,Male,40,922,No program,1237,1,0 +725,Male,36,726,Program,1304,1,1 +726,Female,26,894,No program,1077,0,0 +727,Male,41,788,Program,1344,1,1 +728,Male,36,807,Program,1287,1,1 +729,Male,31,852,Program,1254,1,1 +730,Female,44,710,No program,1267,0,0 +731,Female,45,793,Program,1369,0,1 +732,Male,44,730,Program,1383,1,1 +733,Male,9,868,Program,1030,1,1 +734,Male,26,833,No program,1101,1,0 +735,Female,44,658,No program,1258,0,0 +736,Female,28,769,Program,1195,0,1 +737,Male,39,740,No program,1225,1,0 +738,Female,37,734,No program,1192,0,0 +739,Female,46,801,Program,1375,0,1 +740,Female,28,618,No program,1094,0,0 +741,Male,34,992,No program,1190,1,0 +742,Male,38,848,Program,1320,1,1 +743,Male,48,607,No program,1321,1,0 +744,Male,33,709,No program,1170,1,0 +745,Male,38,837,Program,1316,1,1 +746,Male,22,571,No program,1052,1,0 +747,Male,41,752,No program,1256,1,0 +748,Female,37,798,No program,1182,0,0 +749,Male,41,927,Program,1346,1,1 +750,Female,31,968,Program,1231,0,1 +751,Male,52,932,Program,1464,1,1 +752,Female,34,948,No program,1166,0,0 +753,Male,36,750,Program,1305,1,1 +754,Female,34,914,No program,1163,0,0 +755,Male,43,804,Program,1379,1,1 +756,Female,27,981,Program,1190,0,1 +757,Female,37,833,Program,1288,0,1 +758,Female,41,869,No program,1227,0,0 +759,Male,23,838,Program,1164,1,1 +760,Female,37,882,No program,1200,0,0 +761,Male,29,838,Program,1236,1,1 +762,Female,49,755,No program,1319,0,0 +763,Male,42,811,No program,1266,1,0 +764,Male,18,1094,Program,1123,1,1 +765,Male,44,692,Program,1373,1,1 +766,Female,37,851,Program,1294,0,1 +767,Female,29,842,No program,1104,0,0 +768,Male,31,901,Program,1254,1,1 +769,Female,22,568,Program,1143,0,1 +770,Male,39,674,Program,1323,1,1 +771,Female,19,813,No program,1012,0,0 +772,Female,34,707,No program,1156,0,0 +773,Female,40,757,No program,1213,0,0 +774,Male,36,868,Program,1300,1,1 +775,Female,44,797,Program,1357,0,1 +776,Male,36,722,Program,1300,1,1 +777,Male,58,771,Program,1525,1,1 +778,Male,26,973,No program,1112,1,0 +779,Male,50,960,No program,1342,1,0 +780,Male,19,755,No program,1023,1,0 +781,Female,24,955,No program,1070,0,0 +782,Male,26,861,No program,1097,1,0 +783,Male,20,889,No program,1040,1,0 +784,Male,50,704,No program,1341,1,0 +785,Male,45,646,No program,1284,1,0 +786,Female,49,933,Program,1409,0,1 +787,Female,29,727,Program,1204,0,1 +788,Male,36,737,No program,1193,1,0 +789,Female,46,822,No program,1294,0,0 +790,Male,46,635,Program,1386,1,1 +791,Female,41,859,No program,1221,0,0 +792,Male,37,933,Program,1297,1,1 +793,Female,23,789,No program,1058,0,0 +794,Male,38,627,Program,1315,1,1 +795,Female,33,741,Program,1250,0,1 +796,Male,28,744,No program,1126,1,0 +797,Male,51,905,No program,1353,1,0 +798,Female,28,906,No program,1108,0,0 +799,Male,37,830,Program,1306,1,1 +800,Female,40,761,Program,1321,0,1 +801,Male,46,785,Program,1402,1,1 +802,Female,39,867,Program,1312,0,1 +803,Male,55,881,Program,1489,1,1 +804,Male,39,976,No program,1237,1,0 +805,Male,30,678,Program,1251,1,1 +806,Male,36,838,No program,1206,1,0 +807,Male,42,826,Program,1353,1,1 +808,Male,13,628,Program,1068,1,1 +809,Female,34,779,No program,1154,0,0 +810,Male,35,745,Program,1292,1,1 +811,Male,33,683,Program,1263,1,1 +812,Male,36,825,No program,1188,1,0 +813,Female,15,561,Program,1073,0,1 +814,Female,38,907,Program,1308,0,1 +815,Male,35,949,No program,1199,1,0 +816,Male,30,925,No program,1145,1,0 +817,Male,6,891,No program,905,1,0 +818,Female,31,825,Program,1238,0,1 +819,Male,36,816,Program,1296,1,1 +820,Male,34,789,Program,1285,1,1 +821,Male,29,724,No program,1126,1,0 +822,Male,38,821,Program,1312,1,1 +823,Male,26,875,Program,1190,1,1 +824,Male,42,669,Program,1357,1,1 +825,Male,43,775,Program,1374,1,1 +826,Female,45,766,Program,1366,0,1 +827,Male,43,830,No program,1268,1,0 +828,Male,31,714,No program,1154,1,0 +829,Male,35,896,Program,1287,1,1 +830,Male,47,750,Program,1409,1,1 +831,Male,41,927,Program,1347,1,1 +832,Female,38,749,No program,1205,0,0 +833,Female,48,921,No program,1306,0,0 +834,Female,29,766,Program,1206,0,1 +835,Male,35,865,Program,1303,1,1 +836,Female,48,828,Program,1395,0,1 +837,Female,33,791,Program,1246,0,1 +838,Male,36,949,Program,1304,1,1 +839,Male,34,818,Program,1273,1,1 +840,Female,47,843,Program,1397,0,1 +841,Male,36,786,No program,1196,1,0 +842,Male,36,759,Program,1295,1,1 +843,Female,28,1021,No program,1102,0,0 +844,Male,31,779,Program,1251,1,1 +845,Male,19,814,No program,1028,1,0 +846,Female,39,833,Program,1296,0,1 +847,Male,43,817,No program,1279,1,0 +848,Female,22,943,Program,1141,0,1 +849,Female,39,683,Program,1314,0,1 +850,Female,38,765,Program,1301,0,1 +851,Male,37,686,Program,1295,1,1 +852,Female,36,731,No program,1177,0,0 +853,Female,51,849,Program,1440,0,1 +854,Male,38,885,No program,1220,1,0 +855,Male,49,1085,No program,1327,1,0 +856,Female,40,850,No program,1214,0,0 +857,Male,40,771,No program,1238,1,0 +858,Male,30,700,Program,1233,1,1 +859,Female,62,841,No program,1442,0,0 +860,Female,34,893,No program,1170,0,0 +861,Male,30,757,No program,1135,1,0 +862,Male,39,827,No program,1229,1,0 +863,Male,39,824,Program,1330,1,1 +864,Male,42,760,Program,1355,1,1 +865,Male,26,878,Program,1205,1,1 +866,Female,34,657,Program,1257,0,1 +867,Male,51,1002,Program,1453,1,1 +868,Female,30,805,No program,1118,0,0 +869,Male,31,843,No program,1153,1,0 +870,Male,41,811,Program,1349,1,1 +871,Female,29,667,No program,1111,0,0 +872,Female,46,859,No program,1284,0,0 +873,Female,39,789,Program,1318,0,1 +874,Male,36,698,Program,1296,1,1 +875,Female,19,838,No program,1009,0,0 +876,Male,32,605,Program,1249,1,1 +877,Male,55,954,No program,1392,1,0 +878,Male,32,710,No program,1158,1,0 +879,Male,42,788,No program,1263,1,0 +880,Male,26,985,Program,1192,1,1 +881,Female,19,655,No program,1014,0,0 +882,Male,42,968,Program,1367,1,1 +883,Male,49,881,No program,1330,1,0 +884,Male,20,872,No program,1031,1,0 +885,Male,43,581,Program,1371,1,1 +886,Female,38,776,Program,1305,0,1 +887,Male,31,661,No program,1150,1,0 +888,Male,52,729,Program,1458,1,1 +889,Male,25,844,No program,1094,1,0 +890,Male,34,712,No program,1177,1,0 +891,Female,42,909,No program,1231,0,0 +892,Female,24,805,Program,1165,0,1 +893,Female,46,641,Program,1378,0,1 +894,Male,34,886,Program,1279,1,1 +895,Male,47,740,Program,1409,1,1 +896,Male,35,696,No program,1191,1,0 +897,Female,28,918,Program,1192,0,1 +898,Female,22,832,No program,1034,0,0 +899,Female,21,849,No program,1037,0,0 +900,Female,34,832,No program,1162,0,0 +901,Female,15,730,No program,965,0,0 +902,Male,19,802,Program,1135,1,1 +903,Female,55,782,No program,1358,0,0 +904,Male,33,735,Program,1268,1,1 +905,Female,49,631,No program,1308,0,0 +906,Male,51,848,Program,1448,1,1 +907,Male,36,733,No program,1201,1,0 +908,Male,35,932,No program,1191,1,0 +909,Female,37,898,Program,1292,0,1 +910,Male,42,770,Program,1353,1,1 +911,Male,43,832,No program,1266,1,0 +912,Male,15,893,No program,993,1,0 +913,Male,35,772,Program,1291,1,1 +914,Male,41,1102,Program,1353,1,1 +915,Male,33,856,Program,1277,1,1 +916,Male,37,791,No program,1209,1,0 +917,Male,44,806,Program,1379,1,1 +918,Female,34,796,Program,1254,0,1 +919,Female,50,931,Program,1417,0,1 +920,Female,40,924,Program,1313,0,1 +921,Male,19,814,Program,1138,1,1 +922,Male,33,784,No program,1177,1,0 +923,Male,41,859,No program,1246,1,0 +924,Male,37,740,No program,1197,1,0 +925,Male,21,806,No program,1056,1,0 +926,Male,16,781,Program,1095,1,1 +927,Female,34,658,Program,1260,0,1 +928,Male,42,744,Program,1353,1,1 +929,Male,28,689,No program,1117,1,0 +930,Male,39,894,Program,1327,1,1 +931,Male,41,683,Program,1343,1,1 +932,Female,45,788,Program,1369,0,1 +933,Male,41,703,No program,1242,1,0 +934,Female,37,809,Program,1296,0,1 +935,Male,19,753,Program,1128,1,1 +936,Male,30,1035,Program,1241,1,1 +937,Male,44,767,Program,1376,1,1 +938,Male,40,875,No program,1227,1,0 +939,Male,26,839,Program,1198,1,1 +940,Male,38,868,No program,1216,1,0 +941,Female,34,902,No program,1156,0,0 +942,Male,48,751,Program,1417,1,1 +943,Female,35,687,No program,1161,0,0 +944,Female,31,866,Program,1233,0,1 +945,Female,32,707,No program,1140,0,0 +946,Male,26,937,No program,1106,1,0 +947,Male,48,691,Program,1422,1,1 +948,Male,37,544,Program,1311,1,1 +949,Male,29,694,No program,1146,1,0 +950,Male,39,748,Program,1330,1,1 +951,Female,44,990,Program,1359,0,1 +952,Female,31,882,Program,1232,0,1 +953,Male,32,957,No program,1166,1,0 +954,Female,34,669,Program,1268,0,1 +955,Female,15,911,Program,1063,0,1 +956,Male,37,739,No program,1205,1,0 +957,Female,35,887,No program,1178,0,0 +958,Male,32,606,Program,1269,1,1 +959,Male,25,898,Program,1186,1,1 +960,Female,46,770,No program,1276,0,0 +961,Male,30,781,Program,1233,1,1 +962,Male,36,932,No program,1198,1,0 +963,Female,56,836,No program,1390,0,0 +964,Female,29,810,Program,1205,0,1 +965,Male,28,882,No program,1128,1,0 +966,Male,37,711,No program,1201,1,0 +967,Female,32,667,No program,1139,0,0 +968,Male,30,908,Program,1240,1,1 +969,Male,39,942,No program,1228,1,0 +970,Male,37,850,No program,1206,1,0 +971,Female,24,799,No program,1067,0,0 +972,Female,21,942,No program,1027,0,0 +973,Male,41,815,No program,1248,1,0 +974,Female,27,839,Program,1184,0,1 +975,Male,25,812,No program,1099,1,0 +976,Female,47,875,Program,1391,0,1 +977,Female,36,683,Program,1279,0,1 +978,Male,30,754,Program,1235,1,1 +979,Female,43,780,Program,1345,0,1 +980,Male,48,638,Program,1422,1,1 +981,Female,45,877,No program,1260,0,0 +982,Female,25,822,Program,1168,0,1 +983,Male,29,729,Program,1226,1,1 +984,Female,38,835,Program,1303,0,1 +985,Female,21,817,No program,1027,0,0 +986,Male,31,730,No program,1153,1,0 +987,Male,35,806,Program,1283,1,1 +988,Female,34,724,No program,1161,0,0 +989,Male,37,854,No program,1214,1,0 +990,Male,37,661,No program,1208,1,0 +991,Male,44,816,No program,1274,1,0 +992,Female,34,885,No program,1152,0,0 +993,Female,27,820,Program,1191,0,1 +994,Male,34,722,Program,1279,1,1 +995,Female,33,692,Program,1250,0,1 +996,Male,35,638,No program,1195,1,0 +997,Female,50,846,Program,1427,0,1 +998,Male,41,818,No program,1247,1,0 +999,Female,53,806,No program,1349,0,0 +1000,Male,46,869,No program,1302,1,0 diff --git a/docs/files/data/package_data/card.csv b/docs/files/data/package_data/card.csv new file mode 100644 index 00000000..27931fd7 --- /dev/null +++ b/docs/files/data/package_data/card.csv @@ -0,0 +1,3011 @@ +id,nearc2,nearc4,educ,age,fatheduc,motheduc,weight,momdad14,sinmom14,step14,reg661,reg662,reg663,reg664,reg665,reg666,reg667,reg668,reg669,south66,black,smsa,south,smsa66,wage,enroll,KWW,IQ,married,libcrd14,exper,lwage,expersq +2,0,0,7,29,NA,NA,158413,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,548,0,15,NA,1,0,16,6.306275367736816,256 +3,0,0,12,27,8,8,380166,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,481,0,35,93,1,1,9,6.175867080688477,81 +4,0,0,12,34,14,12,367470,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,721,0,42,103,1,1,16,6.580639362335205,256 +5,1,1,11,27,11,12,380166,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,250,0,25,88,1,1,10,5.521461009979248,100 +6,1,1,12,34,8,7,367470,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,729,0,34,108,1,0,16,6.591673851013184,256 +7,1,1,12,26,9,12,380166,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,500,0,38,85,1,1,8,6.214608192443848,64 +8,1,1,18,33,14,14,367470,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,565,0,41,119,1,1,9,6.336825847625732,81 +9,1,1,14,29,14,14,496635,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,608,0,46,108,1,1,9,6.41017484664917,81 +10,1,1,12,28,12,12,367772,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,425,0,32,96,4,0,10,6.052089214324951,100 +11,1,1,12,29,12,12,480445,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,515,0,34,97,1,1,11,6.244166851043701,121 +12,1,1,9,28,11,12,380166,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,225,0,29,84,1,0,13,5.41610050201416,169 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solara,2.2,1999,4,manual(m5),f,21,29,r,compact +toyota,camry solara,2.4,2008,4,manual(m5),f,21,31,r,compact +toyota,camry solara,2.4,2008,4,auto(s5),f,22,31,r,compact +toyota,camry solara,3,1999,6,auto(l4),f,18,26,r,compact +toyota,camry solara,3,1999,6,manual(m5),f,18,26,r,compact +toyota,camry solara,3.3,2008,6,auto(s5),f,18,27,r,compact +toyota,corolla,1.8,1999,4,auto(l3),f,24,30,r,compact +toyota,corolla,1.8,1999,4,auto(l4),f,24,33,r,compact +toyota,corolla,1.8,1999,4,manual(m5),f,26,35,r,compact +toyota,corolla,1.8,2008,4,manual(m5),f,28,37,r,compact +toyota,corolla,1.8,2008,4,auto(l4),f,26,35,r,compact +toyota,land cruiser wagon 4wd,4.7,1999,8,auto(l4),4,11,15,r,suv +toyota,land cruiser wagon 4wd,5.7,2008,8,auto(s6),4,13,18,r,suv +toyota,toyota tacoma 4wd,2.7,1999,4,manual(m5),4,15,20,r,pickup +toyota,toyota tacoma 4wd,2.7,1999,4,auto(l4),4,16,20,r,pickup +toyota,toyota tacoma 4wd,2.7,2008,4,manual(m5),4,17,22,r,pickup +toyota,toyota tacoma 4wd,3.4,1999,6,manual(m5),4,15,17,r,pickup +toyota,toyota tacoma 4wd,3.4,1999,6,auto(l4),4,15,19,r,pickup +toyota,toyota tacoma 4wd,4,2008,6,manual(m6),4,15,18,r,pickup +toyota,toyota tacoma 4wd,4,2008,6,auto(l5),4,16,20,r,pickup +volkswagen,gti,2,1999,4,manual(m5),f,21,29,r,compact +volkswagen,gti,2,1999,4,auto(l4),f,19,26,r,compact +volkswagen,gti,2,2008,4,manual(m6),f,21,29,p,compact +volkswagen,gti,2,2008,4,auto(s6),f,22,29,p,compact +volkswagen,gti,2.8,1999,6,manual(m5),f,17,24,r,compact +volkswagen,jetta,1.9,1999,4,manual(m5),f,33,44,d,compact +volkswagen,jetta,2,1999,4,manual(m5),f,21,29,r,compact +volkswagen,jetta,2,1999,4,auto(l4),f,19,26,r,compact +volkswagen,jetta,2,2008,4,auto(s6),f,22,29,p,compact +volkswagen,jetta,2,2008,4,manual(m6),f,21,29,p,compact +volkswagen,jetta,2.5,2008,5,auto(s6),f,21,29,r,compact +volkswagen,jetta,2.5,2008,5,manual(m5),f,21,29,r,compact +volkswagen,jetta,2.8,1999,6,auto(l4),f,16,23,r,compact 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/dev/null +++ b/docs/files/data/package_data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 +Algeria,Africa,1977,58.014,17152804,4910.416756 +Algeria,Africa,1982,61.368,20033753,5745.160213 +Algeria,Africa,1987,65.799,23254956,5681.358539 +Algeria,Africa,1992,67.744,26298373,5023.216647 +Algeria,Africa,1997,69.152,29072015,4797.295051 +Algeria,Africa,2002,70.994,31287142,5288.040382 +Algeria,Africa,2007,72.301,33333216,6223.367465 +Angola,Africa,1952,30.015,4232095,3520.610273 +Angola,Africa,1957,31.999,4561361,3827.940465 +Angola,Africa,1962,34,4826015,4269.276742 +Angola,Africa,1967,35.985,5247469,5522.776375 +Angola,Africa,1972,37.928,5894858,5473.288005 +Angola,Africa,1977,39.483,6162675,3008.647355 +Angola,Africa,1982,39.942,7016384,2756.953672 +Angola,Africa,1987,39.906,7874230,2430.208311 +Angola,Africa,1992,40.647,8735988,2627.845685 +Angola,Africa,1997,40.963,9875024,2277.140884 +Angola,Africa,2002,41.003,10866106,2773.287312 +Angola,Africa,2007,42.731,12420476,4797.231267 +Argentina,Americas,1952,62.485,17876956,5911.315053 +Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 +Australia,Oceania,1992,77.56,17481977,23424.76683 +Australia,Oceania,1997,78.83,18565243,26997.93657 +Australia,Oceania,2002,80.37,19546792,30687.75473 +Australia,Oceania,2007,81.235,20434176,34435.36744 +Austria,Europe,1952,66.8,6927772,6137.076492 +Austria,Europe,1957,67.48,6965860,8842.59803 +Austria,Europe,1962,69.54,7129864,10750.72111 +Austria,Europe,1967,70.14,7376998,12834.6024 +Austria,Europe,1972,70.63,7544201,16661.6256 +Austria,Europe,1977,72.17,7568430,19749.4223 +Austria,Europe,1982,73.18,7574613,21597.08362 +Austria,Europe,1987,74.94,7578903,23687.82607 +Austria,Europe,1992,76.04,7914969,27042.01868 +Austria,Europe,1997,77.51,8069876,29095.92066 +Austria,Europe,2002,78.98,8148312,32417.60769 +Austria,Europe,2007,79.829,8199783,36126.4927 +Bahrain,Asia,1952,50.939,120447,9867.084765 +Bahrain,Asia,1957,53.832,138655,11635.79945 +Bahrain,Asia,1962,56.923,171863,12753.27514 +Bahrain,Asia,1967,59.923,202182,14804.6727 +Bahrain,Asia,1972,63.3,230800,18268.65839 +Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 +Belgium,Europe,1957,69.24,8989111,9714.960623 +Belgium,Europe,1962,70.25,9218400,10991.20676 +Belgium,Europe,1967,70.94,9556500,13149.04119 +Belgium,Europe,1972,71.44,9709100,16672.14356 +Belgium,Europe,1977,72.8,9821800,19117.97448 +Belgium,Europe,1982,73.93,9856303,20979.84589 +Belgium,Europe,1987,75.35,9870200,22525.56308 +Belgium,Europe,1992,76.46,10045622,25575.57069 +Belgium,Europe,1997,77.53,10199787,27561.19663 +Belgium,Europe,2002,78.32,10311970,30485.88375 +Belgium,Europe,2007,79.441,10392226,33692.60508 +Benin,Africa,1952,38.223,1738315,1062.7522 +Benin,Africa,1957,40.358,1925173,959.6010805 +Benin,Africa,1962,42.618,2151895,949.4990641 +Benin,Africa,1967,44.885,2427334,1035.831411 +Benin,Africa,1972,47.014,2761407,1085.796879 +Benin,Africa,1977,49.19,3168267,1029.161251 +Benin,Africa,1982,50.904,3641603,1277.897616 +Benin,Africa,1987,52.337,4243788,1225.85601 +Benin,Africa,1992,53.919,4981671,1191.207681 +Benin,Africa,1997,54.777,6066080,1232.975292 +Benin,Africa,2002,54.406,7026113,1372.877931 +Benin,Africa,2007,56.728,8078314,1441.284873 +Bolivia,Americas,1952,40.414,2883315,2677.326347 +Bolivia,Americas,1957,41.89,3211738,2127.686326 +Bolivia,Americas,1962,43.428,3593918,2180.972546 +Bolivia,Americas,1967,45.032,4040665,2586.886053 +Bolivia,Americas,1972,46.714,4565872,2980.331339 +Bolivia,Americas,1977,50.023,5079716,3548.097832 +Bolivia,Americas,1982,53.859,5642224,3156.510452 +Bolivia,Americas,1987,57.251,6156369,2753.69149 +Bolivia,Americas,1992,59.957,6893451,2961.699694 +Bolivia,Americas,1997,62.05,7693188,3326.143191 +Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 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Faso,Africa,1972,43.591,5433886,854.7359763 +Burkina Faso,Africa,1977,46.137,5889574,743.3870368 +Burkina Faso,Africa,1982,48.122,6634596,807.1985855 +Burkina Faso,Africa,1987,49.557,7586551,912.0631417 +Burkina Faso,Africa,1992,50.26,8878303,931.7527731 +Burkina Faso,Africa,1997,50.324,10352843,946.2949618 +Burkina Faso,Africa,2002,50.65,12251209,1037.645221 +Burkina Faso,Africa,2007,52.295,14326203,1217.032994 +Burundi,Africa,1952,39.031,2445618,339.2964587 +Burundi,Africa,1957,40.533,2667518,379.5646281 +Burundi,Africa,1962,42.045,2961915,355.2032273 +Burundi,Africa,1967,43.548,3330989,412.9775136 +Burundi,Africa,1972,44.057,3529983,464.0995039 +Burundi,Africa,1977,45.91,3834415,556.1032651 +Burundi,Africa,1982,47.471,4580410,559.603231 +Burundi,Africa,1987,48.211,5126023,621.8188189 +Burundi,Africa,1992,44.736,5809236,631.6998778 +Burundi,Africa,1997,45.326,6121610,463.1151478 +Burundi,Africa,2002,47.36,7021078,446.4035126 +Burundi,Africa,2007,49.58,8390505,430.0706916 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Republic,Africa,1967,41.478,1733638,1136.056615 +Central African Republic,Africa,1972,43.457,1927260,1070.013275 +Central African Republic,Africa,1977,46.775,2167533,1109.374338 +Central African Republic,Africa,1982,48.295,2476971,956.7529907 +Central African Republic,Africa,1987,50.485,2840009,844.8763504 +Central African Republic,Africa,1992,49.396,3265124,747.9055252 +Central African Republic,Africa,1997,46.066,3696513,740.5063317 +Central African Republic,Africa,2002,43.308,4048013,738.6906068 +Central African Republic,Africa,2007,44.741,4369038,706.016537 +Chad,Africa,1952,38.092,2682462,1178.665927 +Chad,Africa,1957,39.881,2894855,1308.495577 +Chad,Africa,1962,41.716,3150417,1389.817618 +Chad,Africa,1967,43.601,3495967,1196.810565 +Chad,Africa,1972,45.569,3899068,1104.103987 +Chad,Africa,1977,47.383,4388260,1133.98495 +Chad,Africa,1982,49.517,4875118,797.9081006 +Chad,Africa,1987,51.051,5498955,952.386129 +Chad,Africa,1992,51.724,6429417,1058.0643 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Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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+Denmark,Europe,1967,72.96,4838800,15937.21123 +Denmark,Europe,1972,73.47,4991596,18866.20721 +Denmark,Europe,1977,74.69,5088419,20422.9015 +Denmark,Europe,1982,74.63,5117810,21688.04048 +Denmark,Europe,1987,74.8,5127024,25116.17581 +Denmark,Europe,1992,75.33,5171393,26406.73985 +Denmark,Europe,1997,76.11,5283663,29804.34567 +Denmark,Europe,2002,77.18,5374693,32166.50006 +Denmark,Europe,2007,78.332,5468120,35278.41874 +Djibouti,Africa,1952,34.812,63149,2669.529475 +Djibouti,Africa,1957,37.328,71851,2864.969076 +Djibouti,Africa,1962,39.693,89898,3020.989263 +Djibouti,Africa,1967,42.074,127617,3020.050513 +Djibouti,Africa,1972,44.366,178848,3694.212352 +Djibouti,Africa,1977,46.519,228694,3081.761022 +Djibouti,Africa,1982,48.812,305991,2879.468067 +Djibouti,Africa,1987,50.04,311025,2880.102568 +Djibouti,Africa,1992,51.604,384156,2377.156192 +Djibouti,Africa,1997,53.157,417908,1895.016984 +Djibouti,Africa,2002,53.373,447416,1908.260867 +Djibouti,Africa,2007,54.791,496374,2082.481567 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+Ecuador,Americas,1977,61.31,7278866,6679.62326 +Ecuador,Americas,1982,64.342,8365850,7213.791267 +Ecuador,Americas,1987,67.231,9545158,6481.776993 +Ecuador,Americas,1992,69.613,10748394,7103.702595 +Ecuador,Americas,1997,72.312,11911819,7429.455877 +Ecuador,Americas,2002,74.173,12921234,5773.044512 +Ecuador,Americas,2007,74.994,13755680,6873.262326 +Egypt,Africa,1952,41.893,22223309,1418.822445 +Egypt,Africa,1957,44.444,25009741,1458.915272 +Egypt,Africa,1962,46.992,28173309,1693.335853 +Egypt,Africa,1967,49.293,31681188,1814.880728 +Egypt,Africa,1972,51.137,34807417,2024.008147 +Egypt,Africa,1977,53.319,38783863,2785.493582 +Egypt,Africa,1982,56.006,45681811,3503.729636 +Egypt,Africa,1987,59.797,52799062,3885.46071 +Egypt,Africa,1992,63.674,59402198,3794.755195 +Egypt,Africa,1997,67.217,66134291,4173.181797 +Egypt,Africa,2002,69.806,73312559,4754.604414 +Egypt,Africa,2007,71.338,80264543,5581.180998 +El Salvador,Americas,1952,45.262,2042865,3048.3029 +El Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 +Ethiopia,Africa,1967,42.115,27860297,516.1186438 +Ethiopia,Africa,1972,43.515,30770372,566.2439442 +Ethiopia,Africa,1977,44.51,34617799,556.8083834 +Ethiopia,Africa,1982,44.916,38111756,577.8607471 +Ethiopia,Africa,1987,46.684,42999530,573.7413142 +Ethiopia,Africa,1992,48.091,52088559,421.3534653 +Ethiopia,Africa,1997,49.402,59861301,515.8894013 +Ethiopia,Africa,2002,50.725,67946797,530.0535319 +Ethiopia,Africa,2007,52.947,76511887,690.8055759 +Finland,Europe,1952,66.55,4090500,6424.519071 +Finland,Europe,1957,67.49,4324000,7545.415386 +Finland,Europe,1962,68.75,4491443,9371.842561 +Finland,Europe,1967,69.83,4605744,10921.63626 +Finland,Europe,1972,70.87,4639657,14358.8759 +Finland,Europe,1977,72.52,4738902,15605.42283 +Finland,Europe,1982,74.55,4826933,18533.15761 +Finland,Europe,1987,74.83,4931729,21141.01223 +Finland,Europe,1992,75.7,5041039,20647.16499 +Finland,Europe,1997,77.13,5134406,23723.9502 +Finland,Europe,2002,78.37,5193039,28204.59057 +Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 +Germany,Europe,1977,72.5,78160773,20512.92123 +Germany,Europe,1982,73.8,78335266,22031.53274 +Germany,Europe,1987,74.847,77718298,24639.18566 +Germany,Europe,1992,76.07,80597764,26505.30317 +Germany,Europe,1997,77.34,82011073,27788.88416 +Germany,Europe,2002,78.67,82350671,30035.80198 +Germany,Europe,2007,79.406,82400996,32170.37442 +Ghana,Africa,1952,43.149,5581001,911.2989371 +Ghana,Africa,1957,44.779,6391288,1043.561537 +Ghana,Africa,1962,46.452,7355248,1190.041118 +Ghana,Africa,1967,48.072,8490213,1125.69716 +Ghana,Africa,1972,49.875,9354120,1178.223708 +Ghana,Africa,1977,51.756,10538093,993.2239571 +Ghana,Africa,1982,53.744,11400338,876.032569 +Ghana,Africa,1987,55.729,14168101,847.0061135 +Ghana,Africa,1992,57.501,16278738,925.060154 +Ghana,Africa,1997,58.556,18418288,1005.245812 +Ghana,Africa,2002,58.453,20550751,1111.984578 +Ghana,Africa,2007,60.022,22873338,1327.60891 +Greece,Europe,1952,65.86,7733250,3530.690067 +Greece,Europe,1957,67.86,8096218,4916.299889 +Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 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+Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 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+Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 +Kenya,Africa,1957,44.686,7454779,944.4383152 +Kenya,Africa,1962,47.949,8678557,896.9663732 +Kenya,Africa,1967,50.654,10191512,1056.736457 +Kenya,Africa,1972,53.559,12044785,1222.359968 +Kenya,Africa,1977,56.155,14500404,1267.613204 +Kenya,Africa,1982,58.766,17661452,1348.225791 +Kenya,Africa,1987,59.339,21198082,1361.936856 +Kenya,Africa,1992,59.285,25020539,1341.921721 +Kenya,Africa,1997,54.407,28263827,1360.485021 +Kenya,Africa,2002,50.992,31386842,1287.514732 +Kenya,Africa,2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 +Lesotho,Africa,1972,49.767,1116779,496.5815922 +Lesotho,Africa,1977,52.208,1251524,745.3695408 +Lesotho,Africa,1982,55.078,1411807,797.2631074 +Lesotho,Africa,1987,57.18,1599200,773.9932141 +Lesotho,Africa,1992,59.685,1803195,977.4862725 +Lesotho,Africa,1997,55.558,1982823,1186.147994 +Lesotho,Africa,2002,44.593,2046772,1275.184575 +Lesotho,Africa,2007,42.592,2012649,1569.331442 +Liberia,Africa,1952,38.48,863308,575.5729961 +Liberia,Africa,1957,39.486,975950,620.9699901 +Liberia,Africa,1962,40.502,1112796,634.1951625 +Liberia,Africa,1967,41.536,1279406,713.6036483 +Liberia,Africa,1972,42.614,1482628,803.0054535 +Liberia,Africa,1977,43.764,1703617,640.3224383 +Liberia,Africa,1982,44.852,1956875,572.1995694 +Liberia,Africa,1987,46.027,2269414,506.1138573 +Liberia,Africa,1992,40.802,1912974,636.6229191 +Liberia,Africa,1997,42.221,2200725,609.17395079999994 +Liberia,Africa,2002,43.753,2814651,531.4823679 +Liberia,Africa,2007,45.678,3193942,414.5073415 +Libya,Africa,1952,42.723,1019729,2387.54806 +Libya,Africa,1957,45.289,1201578,3448.284395 +Libya,Africa,1962,47.808,1441863,6757.030816 +Libya,Africa,1967,50.227,1759224,18772.75169 +Libya,Africa,1972,52.773,2183877,21011.49721 +Libya,Africa,1977,57.442,2721783,21951.21176 +Libya,Africa,1982,62.155,3344074,17364.27538 +Libya,Africa,1987,66.234,3799845,11770.5898 +Libya,Africa,1992,68.755,4364501,9640.138501 +Libya,Africa,1997,71.555,4759670,9467.446056 +Libya,Africa,2002,72.737,5368585,9534.677467 +Libya,Africa,2007,73.952,6036914,12057.49928 +Madagascar,Africa,1952,36.681,4762912,1443.011715 +Madagascar,Africa,1957,38.865,5181679,1589.20275 +Madagascar,Africa,1962,40.848,5703324,1643.38711 +Madagascar,Africa,1967,42.881,6334556,1634.047282 +Madagascar,Africa,1972,44.851,7082430,1748.562982 +Madagascar,Africa,1977,46.881,8007166,1544.228586 +Madagascar,Africa,1982,48.969,9171477,1302.878658 +Madagascar,Africa,1987,49.35,10568642,1155.441948 +Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 +Mauritius,Africa,1997,70.736,1149818,7425.705295 +Mauritius,Africa,2002,71.954,1200206,9021.815894 +Mauritius,Africa,2007,72.801,1250882,10956.99112 +Mexico,Americas,1952,50.789,30144317,3478.125529 +Mexico,Americas,1957,55.19,35015548,4131.546641 +Mexico,Americas,1962,58.299,41121485,4581.609385 +Mexico,Americas,1967,60.11,47995559,5754.733883 +Mexico,Americas,1972,62.361,55984294,6809.40669 +Mexico,Americas,1977,65.032,63759976,7674.929108 +Mexico,Americas,1982,67.405,71640904,9611.147541 +Mexico,Americas,1987,69.498,80122492,8688.156003 +Mexico,Americas,1992,71.455,88111030,9472.384295 +Mexico,Americas,1997,73.67,95895146,9767.29753 +Mexico,Americas,2002,74.902,102479927,10742.44053 +Mexico,Americas,2007,76.195,108700891,11977.57496 +Mongolia,Asia,1952,42.244,800663,786.5668575 +Mongolia,Asia,1957,45.248,882134,912.6626085 +Mongolia,Asia,1962,48.251,1010280,1056.353958 +Mongolia,Asia,1967,51.253,1149500,1226.04113 +Mongolia,Asia,1972,53.754,1320500,1421.741975 +Mongolia,Asia,1977,55.491,1528000,1647.511665 +Mongolia,Asia,1982,57.489,1756032,2000.603139 +Mongolia,Asia,1987,60.222,2015133,2338.008304 +Mongolia,Asia,1992,61.271,2312802,1785.402016 +Mongolia,Asia,1997,63.625,2494803,1902.2521 +Mongolia,Asia,2002,65.033,2674234,2140.739323 +Mongolia,Asia,2007,66.803,2874127,3095.772271 +Montenegro,Europe,1952,59.164,413834,2647.585601 +Montenegro,Europe,1957,61.448,442829,3682.259903 +Montenegro,Europe,1962,63.728,474528,4649.593785 +Montenegro,Europe,1967,67.178,501035,5907.850937 +Montenegro,Europe,1972,70.636,527678,7778.414017 +Montenegro,Europe,1977,73.066,560073,9595.929905 +Montenegro,Europe,1982,74.101,562548,11222.58762 +Montenegro,Europe,1987,74.865,569473,11732.51017 +Montenegro,Europe,1992,75.435,621621,7003.339037 +Montenegro,Europe,1997,75.445,692651,6465.613349 +Montenegro,Europe,2002,73.981,720230,6557.194282 +Montenegro,Europe,2007,74.543,684736,9253.896111 +Morocco,Africa,1952,42.873,9939217,1688.20357 +Morocco,Africa,1957,45.423,11406350,1642.002314 +Morocco,Africa,1962,47.924,13056604,1566.353493 +Morocco,Africa,1967,50.335,14770296,1711.04477 +Morocco,Africa,1972,52.862,16660670,1930.194975 +Morocco,Africa,1977,55.73,18396941,2370.619976 +Morocco,Africa,1982,59.65,20198730,2702.620356 +Morocco,Africa,1987,62.677,22987397,2755.046991 +Morocco,Africa,1992,65.393,25798239,2948.047252 +Morocco,Africa,1997,67.66,28529501,2982.101858 +Morocco,Africa,2002,69.615,31167783,3258.495584 +Morocco,Africa,2007,71.164,33757175,3820.17523 +Mozambique,Africa,1952,31.286,6446316,468.5260381 +Mozambique,Africa,1957,33.779,7038035,495.5868333 +Mozambique,Africa,1962,36.161,7788944,556.6863539 +Mozambique,Africa,1967,38.113,8680909,566.6691539 +Mozambique,Africa,1972,40.328,9809596,724.9178037 +Mozambique,Africa,1977,42.495,11127868,502.3197334 +Mozambique,Africa,1982,42.795,12587223,462.2114149 +Mozambique,Africa,1987,42.861,12891952,389.8761846 +Mozambique,Africa,1992,44.284,13160731,410.8968239 +Mozambique,Africa,1997,46.344,16603334,472.3460771 +Mozambique,Africa,2002,44.026,18473780,633.6179466 +Mozambique,Africa,2007,42.082,19951656,823.6856205 +Myanmar,Asia,1952,36.319,20092996,331 +Myanmar,Asia,1957,41.905,21731844,350 +Myanmar,Asia,1962,45.108,23634436,388 +Myanmar,Asia,1967,49.379,25870271,349 +Myanmar,Asia,1972,53.07,28466390,357 +Myanmar,Asia,1977,56.059,31528087,371 +Myanmar,Asia,1982,58.056,34680442,424 +Myanmar,Asia,1987,58.339,38028578,385 +Myanmar,Asia,1992,59.32,40546538,347 +Myanmar,Asia,1997,60.328,43247867,415 +Myanmar,Asia,2002,59.908,45598081,611 +Myanmar,Asia,2007,62.069,47761980,944 +Namibia,Africa,1952,41.725,485831,2423.780443 +Namibia,Africa,1957,45.226,548080,2621.448058 +Namibia,Africa,1962,48.386,621392,3173.215595 +Namibia,Africa,1967,51.159,706640,3793.694753 +Namibia,Africa,1972,53.867,821782,3746.080948 +Namibia,Africa,1977,56.437,977026,3876.485958 +Namibia,Africa,1982,58.968,1099010,4191.100511 +Namibia,Africa,1987,60.835,1278184,3693.731337 +Namibia,Africa,1992,61.999,1554253,3804.537999 +Namibia,Africa,1997,58.909,1774766,3899.52426 +Namibia,Africa,2002,51.479,1972153,4072.324751 +Namibia,Africa,2007,52.906,2055080,4811.060429 +Nepal,Asia,1952,36.157,9182536,545.8657229 +Nepal,Asia,1957,37.686,9682338,597.9363558 +Nepal,Asia,1962,39.393,10332057,652.3968593 +Nepal,Asia,1967,41.472,11261690,676.4422254 +Nepal,Asia,1972,43.971,12412593,674.7881296 +Nepal,Asia,1977,46.748,13933198,694.1124398 +Nepal,Asia,1982,49.594,15796314,718.3730947 +Nepal,Asia,1987,52.537,17917180,775.6324501 +Nepal,Asia,1992,55.727,20326209,897.7403604 +Nepal,Asia,1997,59.426,23001113,1010.892138 +Nepal,Asia,2002,61.34,25873917,1057.206311 +Nepal,Asia,2007,63.785,28901790,1091.359778 +Netherlands,Europe,1952,72.13,10381988,8941.571858 +Netherlands,Europe,1957,72.99,11026383,11276.19344 +Netherlands,Europe,1962,73.23,11805689,12790.84956 +Netherlands,Europe,1967,73.82,12596822,15363.25136 +Netherlands,Europe,1972,73.75,13329874,18794.74567 +Netherlands,Europe,1977,75.24,13852989,21209.0592 +Netherlands,Europe,1982,76.05,14310401,21399.46046 +Netherlands,Europe,1987,76.83,14665278,23651.32361 +Netherlands,Europe,1992,77.42,15174244,26790.94961 +Netherlands,Europe,1997,78.03,15604464,30246.13063 +Netherlands,Europe,2002,78.53,16122830,33724.75778 +Netherlands,Europe,2007,79.762,16570613,36797.93332 +New Zealand,Oceania,1952,69.39,1994794,10556.57566 +New Zealand,Oceania,1957,70.26,2229407,12247.39532 +New Zealand,Oceania,1962,71.24,2488550,13175.678 +New Zealand,Oceania,1967,71.52,2728150,14463.91893 +New Zealand,Oceania,1972,71.89,2929100,16046.03728 +New Zealand,Oceania,1977,72.22,3164900,16233.7177 +New Zealand,Oceania,1982,73.84,3210650,17632.4104 +New Zealand,Oceania,1987,74.32,3317166,19007.19129 +New Zealand,Oceania,1992,76.33,3437674,18363.32494 +New Zealand,Oceania,1997,77.55,3676187,21050.41377 +New Zealand,Oceania,2002,79.11,3908037,23189.80135 +New Zealand,Oceania,2007,80.204,4115771,25185.00911 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+Niger,Africa,1992,47.391,8392818,581.182725 +Niger,Africa,1997,51.313,9666252,580.3052092 +Niger,Africa,2002,54.496,11140655,601.0745012 +Niger,Africa,2007,56.867,12894865,619.6768924 +Nigeria,Africa,1952,36.324,33119096,1077.281856 +Nigeria,Africa,1957,37.802,37173340,1100.592563 +Nigeria,Africa,1962,39.36,41871351,1150.927478 +Nigeria,Africa,1967,41.04,47287752,1014.514104 +Nigeria,Africa,1972,42.821,53740085,1698.388838 +Nigeria,Africa,1977,44.514,62209173,1981.951806 +Nigeria,Africa,1982,45.826,73039376,1576.97375 +Nigeria,Africa,1987,46.886,81551520,1385.029563 +Nigeria,Africa,1992,47.472,93364244,1619.848217 +Nigeria,Africa,1997,47.464,106207839,1624.941275 +Nigeria,Africa,2002,46.608,119901274,1615.286395 +Nigeria,Africa,2007,46.859,135031164,2013.977305 +Norway,Europe,1952,72.67,3327728,10095.42172 +Norway,Europe,1957,73.44,3491938,11653.97304 +Norway,Europe,1962,73.47,3638919,13450.40151 +Norway,Europe,1967,74.08,3786019,16361.87647 +Norway,Europe,1972,74.34,3933004,18965.05551 +Norway,Europe,1977,75.37,4043205,23311.34939 +Norway,Europe,1982,75.97,4114787,26298.63531 +Norway,Europe,1987,75.89,4186147,31540.9748 +Norway,Europe,1992,77.32,4286357,33965.66115 +Norway,Europe,1997,78.32,4405672,41283.16433 +Norway,Europe,2002,79.05,4535591,44683.97525 +Norway,Europe,2007,80.196,4627926,49357.19017 +Oman,Asia,1952,37.578,507833,1828.230307 +Oman,Asia,1957,40.08,561977,2242.746551 +Oman,Asia,1962,43.165,628164,2924.638113 +Oman,Asia,1967,46.988,714775,4720.942687 +Oman,Asia,1972,52.143,829050,10618.03855 +Oman,Asia,1977,57.367,1004533,11848.34392 +Oman,Asia,1982,62.728,1301048,12954.79101 +Oman,Asia,1987,67.734,1593882,18115.22313 +Oman,Asia,1992,71.197,1915208,18616.70691 +Oman,Asia,1997,72.499,2283635,19702.05581 +Oman,Asia,2002,74.193,2713462,19774.83687 +Oman,Asia,2007,75.64,3204897,22316.19287 +Pakistan,Asia,1952,43.436,41346560,684.5971438 +Pakistan,Asia,1957,45.557,46679944,747.0835292 +Pakistan,Asia,1962,47.67,53100671,803.3427418 +Pakistan,Asia,1967,49.8,60641899,942.4082588 +Pakistan,Asia,1972,51.929,69325921,1049.938981 +Pakistan,Asia,1977,54.043,78152686,1175.921193 +Pakistan,Asia,1982,56.158,91462088,1443.429832 +Pakistan,Asia,1987,58.245,105186881,1704.686583 +Pakistan,Asia,1992,60.838,120065004,1971.829464 +Pakistan,Asia,1997,61.818,135564834,2049.350521 +Pakistan,Asia,2002,63.61,153403524,2092.712441 +Pakistan,Asia,2007,65.483,169270617,2605.94758 +Panama,Americas,1952,55.191,940080,2480.380334 +Panama,Americas,1957,59.201,1063506,2961.800905 +Panama,Americas,1962,61.817,1215725,3536.540301 +Panama,Americas,1967,64.071,1405486,4421.009084 +Panama,Americas,1972,66.216,1616384,5364.249663 +Panama,Americas,1977,68.681,1839782,5351.912144 +Panama,Americas,1982,70.472,2036305,7009.601598 +Panama,Americas,1987,71.523,2253639,7034.779161 +Panama,Americas,1992,72.462,2484997,6618.74305 +Panama,Americas,1997,73.738,2734531,7113.692252 +Panama,Americas,2002,74.712,2990875,7356.031934 +Panama,Americas,2007,75.537,3242173,9809.185636 +Paraguay,Americas,1952,62.649,1555876,1952.308701 +Paraguay,Americas,1957,63.196,1770902,2046.154706 +Paraguay,Americas,1962,64.361,2009813,2148.027146 +Paraguay,Americas,1967,64.951,2287985,2299.376311 +Paraguay,Americas,1972,65.815,2614104,2523.337977 +Paraguay,Americas,1977,66.353,2984494,3248.373311 +Paraguay,Americas,1982,66.874,3366439,4258.503604 +Paraguay,Americas,1987,67.378,3886512,3998.875695 +Paraguay,Americas,1992,68.225,4483945,4196.411078 +Paraguay,Americas,1997,69.4,5154123,4247.400261 +Paraguay,Americas,2002,70.755,5884491,3783.674243 +Paraguay,Americas,2007,71.752,6667147,4172.838464 +Peru,Americas,1952,43.902,8025700,3758.523437 +Peru,Americas,1957,46.263,9146100,4245.256698 +Peru,Americas,1962,49.096,10516500,4957.037982 +Peru,Americas,1967,51.445,12132200,5788.09333 +Peru,Americas,1972,55.448,13954700,5937.827283 +Peru,Americas,1977,58.447,15990099,6281.290855 +Peru,Americas,1982,61.406,18125129,6434.501797 +Peru,Americas,1987,64.134,20195924,6360.9434440000005 +Peru,Americas,1992,66.458,22430449,4446.380924 +Peru,Americas,1997,68.386,24748122,5838.347657 +Peru,Americas,2002,69.906,26769436,5909.020073 +Peru,Americas,2007,71.421,28674757,7408.905561 +Philippines,Asia,1952,47.752,22438691,1272.880995 +Philippines,Asia,1957,51.334,26072194,1547.944844 +Philippines,Asia,1962,54.757,30325264,1649.552153 +Philippines,Asia,1967,56.393,35356600,1814.12743 +Philippines,Asia,1972,58.065,40850141,1989.37407 +Philippines,Asia,1977,60.06,46850962,2373.204287 +Philippines,Asia,1982,62.082,53456774,2603.273765 +Philippines,Asia,1987,64.151,60017788,2189.634995 +Philippines,Asia,1992,66.458,67185766,2279.324017 +Philippines,Asia,1997,68.564,75012988,2536.534925 +Philippines,Asia,2002,70.303,82995088,2650.921068 +Philippines,Asia,2007,71.688,91077287,3190.481016 +Poland,Europe,1952,61.31,25730551,4029.329699 +Poland,Europe,1957,65.77,28235346,4734.253019 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+Portugal,Europe,2007,78.098,10642836,20509.64777 +Puerto Rico,Americas,1952,64.28,2227000,3081.959785 +Puerto Rico,Americas,1957,68.54,2260000,3907.156189 +Puerto Rico,Americas,1962,69.62,2448046,5108.34463 +Puerto Rico,Americas,1967,71.1,2648961,6929.277714 +Puerto Rico,Americas,1972,72.16,2847132,9123.041742 +Puerto Rico,Americas,1977,73.44,3080828,9770.524921 +Puerto Rico,Americas,1982,73.75,3279001,10330.98915 +Puerto Rico,Americas,1987,74.63,3444468,12281.34191 +Puerto Rico,Americas,1992,73.911,3585176,14641.58711 +Puerto Rico,Americas,1997,74.917,3759430,16999.4333 +Puerto Rico,Americas,2002,77.778,3859606,18855.60618 +Puerto Rico,Americas,2007,78.746,3942491,19328.70901 +Reunion,Africa,1952,52.724,257700,2718.885295 +Reunion,Africa,1957,55.09,308700,2769.451844 +Reunion,Africa,1962,57.666,358900,3173.72334 +Reunion,Africa,1967,60.542,414024,4021.175739 +Reunion,Africa,1972,64.274,461633,5047.658563 +Reunion,Africa,1977,67.064,492095,4319.804067 +Reunion,Africa,1982,69.885,517810,5267.219353 +Reunion,Africa,1987,71.913,562035,5303.377488 +Reunion,Africa,1992,73.615,622191,6101.255823 +Reunion,Africa,1997,74.772,684810,6071.941411 +Reunion,Africa,2002,75.744,743981,6316.1652 +Reunion,Africa,2007,76.442,798094,7670.122558 +Romania,Europe,1952,61.05,16630000,3144.613186 +Romania,Europe,1957,64.1,17829327,3943.370225 +Romania,Europe,1962,66.8,18680721,4734.997586 +Romania,Europe,1967,66.8,19284814,6470.866545 +Romania,Europe,1972,69.21,20662648,8011.414402 +Romania,Europe,1977,69.46,21658597,9356.39724 +Romania,Europe,1982,69.66,22356726,9605.314053 +Romania,Europe,1987,69.53,22686371,9696.273295 +Romania,Europe,1992,69.36,22797027,6598.409903 +Romania,Europe,1997,69.72,22562458,7346.547557 +Romania,Europe,2002,71.322,22404337,7885.360081 +Romania,Europe,2007,72.476,22276056,10808.47561 +Rwanda,Africa,1952,40,2534927,493.3238752 +Rwanda,Africa,1957,41.5,2822082,540.2893983 +Rwanda,Africa,1962,43,3051242,597.4730727 +Rwanda,Africa,1967,44.1,3451079,510.9637142 +Rwanda,Africa,1972,44.6,3992121,590.5806638 +Rwanda,Africa,1977,45,4657072,670.0806011 +Rwanda,Africa,1982,46.218,5507565,881.5706467 +Rwanda,Africa,1987,44.02,6349365,847.991217 +Rwanda,Africa,1992,23.599,7290203,737.0685949 +Rwanda,Africa,1997,36.087,7212583,589.9445051 +Rwanda,Africa,2002,43.413,7852401,785.6537648 +Rwanda,Africa,2007,46.242,8860588,863.0884639 +Sao Tome and Principe,Africa,1952,46.471,60011,879.5835855 +Sao Tome and Principe,Africa,1957,48.945,61325,860.7369026 +Sao Tome and Principe,Africa,1962,51.893,65345,1071.551119 +Sao Tome and Principe,Africa,1967,54.425,70787,1384.840593 +Sao Tome and Principe,Africa,1972,56.48,76595,1532.985254 +Sao Tome and Principe,Africa,1977,58.55,86796,1737.561657 +Sao Tome and Principe,Africa,1982,60.351,98593,1890.218117 +Sao Tome and Principe,Africa,1987,61.728,110812,1516.525457 +Sao Tome and Principe,Africa,1992,62.742,125911,1428.777814 +Sao Tome and Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 +Senegal,Africa,1972,45.815,4588696,1597.712056 +Senegal,Africa,1977,48.879,5260855,1561.769116 +Senegal,Africa,1982,52.379,6147783,1518.479984 +Senegal,Africa,1987,55.769,7171347,1441.72072 +Senegal,Africa,1992,58.196,8307920,1367.899369 +Senegal,Africa,1997,60.187,9535314,1392.368347 +Senegal,Africa,2002,61.6,10870037,1519.635262 +Senegal,Africa,2007,63.062,12267493,1712.472136 +Serbia,Europe,1952,57.996,6860147,3581.459448 +Serbia,Europe,1957,61.685,7271135,4981.090891 +Serbia,Europe,1962,64.531,7616060,6289.629157 +Serbia,Europe,1967,66.914,7971222,7991.707066 +Serbia,Europe,1972,68.7,8313288,10522.06749 +Serbia,Europe,1977,70.3,8686367,12980.66956 +Serbia,Europe,1982,70.162,9032824,15181.0927 +Serbia,Europe,1987,71.218,9230783,15870.87851 +Serbia,Europe,1992,71.659,9826397,9325.068238 +Serbia,Europe,1997,72.232,10336594,7914.320304 +Serbia,Europe,2002,73.213,10111559,7236.075251 +Serbia,Europe,2007,74.002,10150265,9786.534714 +Sierra Leone,Africa,1952,30.331,2143249,879.7877358 +Sierra Leone,Africa,1957,31.57,2295678,1004.484437 +Sierra Leone,Africa,1962,32.767,2467895,1116.639877 +Sierra Leone,Africa,1967,34.113,2662190,1206.043465 +Sierra Leone,Africa,1972,35.4,2879013,1353.759762 +Sierra Leone,Africa,1977,36.788,3140897,1348.285159 +Sierra Leone,Africa,1982,38.445,3464522,1465.010784 +Sierra Leone,Africa,1987,40.006,3868905,1294.447788 +Sierra Leone,Africa,1992,38.333,4260884,1068.696278 +Sierra Leone,Africa,1997,39.897,4578212,574.6481576 +Sierra Leone,Africa,2002,41.012,5359092,699.489713 +Sierra Leone,Africa,2007,42.568,6144562,862.5407561 +Singapore,Asia,1952,60.396,1127000,2315.138227 +Singapore,Asia,1957,63.179,1445929,2843.104409 +Singapore,Asia,1962,65.798,1750200,3674.735572 +Singapore,Asia,1967,67.946,1977600,4977.41854 +Singapore,Asia,1972,69.521,2152400,8597.756202 +Singapore,Asia,1977,70.795,2325300,11210.08948 +Singapore,Asia,1982,71.76,2651869,15169.16112 +Singapore,Asia,1987,73.56,2794552,18861.53081 +Singapore,Asia,1992,75.788,3235865,24769.8912 +Singapore,Asia,1997,77.158,3802309,33519.4766 +Singapore,Asia,2002,78.77,4197776,36023.1054 +Singapore,Asia,2007,79.972,4553009,47143.17964 +Slovak Republic,Europe,1952,64.36,3558137,5074.659104 +Slovak Republic,Europe,1957,67.45,3844277,6093.26298 +Slovak Republic,Europe,1962,70.33,4237384,7481.107598 +Slovak Republic,Europe,1967,70.98,4442238,8412.902397 +Slovak Republic,Europe,1972,70.35,4593433,9674.167626 +Slovak Republic,Europe,1977,70.45,4827803,10922.66404 +Slovak Republic,Europe,1982,70.8,5048043,11348.54585 +Slovak Republic,Europe,1987,71.08,5199318,12037.26758 +Slovak Republic,Europe,1992,71.38,5302888,9498.467723 +Slovak Republic,Europe,1997,72.71,5383010,12126.23065 +Slovak Republic,Europe,2002,73.8,5410052,13638.77837 +Slovak Republic,Europe,2007,74.663,5447502,18678.31435 +Slovenia,Europe,1952,65.57,1489518,4215.041741 +Slovenia,Europe,1957,67.85,1533070,5862.276629 +Slovenia,Europe,1962,69.15,1582962,7402.303395 +Slovenia,Europe,1967,69.18,1646912,9405.489397 +Slovenia,Europe,1972,69.82,1694510,12383.4862 +Slovenia,Europe,1977,70.97,1746919,15277.03017 +Slovenia,Europe,1982,71.063,1861252,17866.72175 +Slovenia,Europe,1987,72.25,1945870,18678.53492 +Slovenia,Europe,1992,73.64,1999210,14214.71681 +Slovenia,Europe,1997,75.13,2011612,17161.10735 +Slovenia,Europe,2002,76.66,2011497,20660.01936 +Slovenia,Europe,2007,77.926,2009245,25768.25759 +Somalia,Africa,1952,32.978,2526994,1135.749842 +Somalia,Africa,1957,34.977,2780415,1258.147413 +Somalia,Africa,1962,36.981,3080153,1369.488336 +Somalia,Africa,1967,38.977,3428839,1284.73318 +Somalia,Africa,1972,40.973,3840161,1254.576127 +Somalia,Africa,1977,41.974,4353666,1450.992513 +Somalia,Africa,1982,42.955,5828892,1176.807031 +Somalia,Africa,1987,44.501,6921858,1093.244963 +Somalia,Africa,1992,39.658,6099799,926.9602964 +Somalia,Africa,1997,43.795,6633514,930.5964284 +Somalia,Africa,2002,45.936,7753310,882.0818218 +Somalia,Africa,2007,48.159,9118773,926.1410683 +South Africa,Africa,1952,45.009,14264935,4725.295531 +South Africa,Africa,1957,47.985,16151549,5487.104219 +South Africa,Africa,1962,49.951,18356657,5768.729717 +South Africa,Africa,1967,51.927,20997321,7114.477971 +South Africa,Africa,1972,53.696,23935810,7765.962636 +South Africa,Africa,1977,55.527,27129932,8028.651439 +South Africa,Africa,1982,58.161,31140029,8568.266228 +South Africa,Africa,1987,60.834,35933379,7825.823398 +South Africa,Africa,1992,61.888,39964159,7225.069258 +South Africa,Africa,1997,60.236,42835005,7479.188244 +South Africa,Africa,2002,53.365,44433622,7710.946444 +South Africa,Africa,2007,49.339,43997828,9269.657808 +Spain,Europe,1952,64.94,28549870,3834.034742 +Spain,Europe,1957,66.66,29841614,4564.80241 +Spain,Europe,1962,69.69,31158061,5693.843879 +Spain,Europe,1967,71.44,32850275,7993.512294 +Spain,Europe,1972,73.06,34513161,10638.75131 +Spain,Europe,1977,74.39,36439000,13236.92117 +Spain,Europe,1982,76.3,37983310,13926.16997 +Spain,Europe,1987,76.9,38880702,15764.98313 +Spain,Europe,1992,77.57,39549438,18603.06452 +Spain,Europe,1997,78.77,39855442,20445.29896 +Spain,Europe,2002,79.78,40152517,24835.47166 +Spain,Europe,2007,80.941,40448191,28821.0637 +Sri Lanka,Asia,1952,57.593,7982342,1083.53203 +Sri Lanka,Asia,1957,61.456,9128546,1072.546602 +Sri Lanka,Asia,1962,62.192,10421936,1074.47196 +Sri Lanka,Asia,1967,64.266,11737396,1135.514326 +Sri Lanka,Asia,1972,65.042,13016733,1213.39553 +Sri Lanka,Asia,1977,65.949,14116836,1348.775651 +Sri Lanka,Asia,1982,68.757,15410151,1648.079789 +Sri Lanka,Asia,1987,69.011,16495304,1876.766827 +Sri Lanka,Asia,1992,70.379,17587060,2153.739222 +Sri Lanka,Asia,1997,70.457,18698655,2664.477257 +Sri Lanka,Asia,2002,70.815,19576783,3015.378833 +Sri Lanka,Asia,2007,72.396,20378239,3970.095407 +Sudan,Africa,1952,38.635,8504667,1615.991129 +Sudan,Africa,1957,39.624,9753392,1770.337074 +Sudan,Africa,1962,40.87,11183227,1959.593767 +Sudan,Africa,1967,42.858,12716129,1687.997641 +Sudan,Africa,1972,45.083,14597019,1659.652775 +Sudan,Africa,1977,47.8,17104986,2202.988423 +Sudan,Africa,1982,50.338,20367053,1895.544073 +Sudan,Africa,1987,51.744,24725960,1507.819159 +Sudan,Africa,1992,53.556,28227588,1492.197043 +Sudan,Africa,1997,55.373,32160729,1632.210764 +Sudan,Africa,2002,56.369,37090298,1993.398314 +Sudan,Africa,2007,58.556,42292929,2602.394995 +Swaziland,Africa,1952,41.407,290243,1148.376626 +Swaziland,Africa,1957,43.424,326741,1244.708364 +Swaziland,Africa,1962,44.992,370006,1856.182125 +Swaziland,Africa,1967,46.633,420690,2613.101665 +Swaziland,Africa,1972,49.552,480105,3364.836625 +Swaziland,Africa,1977,52.537,551425,3781.410618 +Swaziland,Africa,1982,55.561,649901,3895.384018 +Swaziland,Africa,1987,57.678,779348,3984.839812 +Swaziland,Africa,1992,58.474,962344,3553.0224 +Swaziland,Africa,1997,54.289,1054486,3876.76846 +Swaziland,Africa,2002,43.869,1130269,4128.116943 +Swaziland,Africa,2007,39.613,1133066,4513.480643 +Sweden,Europe,1952,71.86,7124673,8527.844662 +Sweden,Europe,1957,72.49,7363802,9911.878226 +Sweden,Europe,1962,73.37,7561588,12329.44192 +Sweden,Europe,1967,74.16,7867931,15258.29697 +Sweden,Europe,1972,74.72,8122293,17832.02464 +Sweden,Europe,1977,75.44,8251648,18855.72521 +Sweden,Europe,1982,76.42,8325260,20667.38125 +Sweden,Europe,1987,77.19,8421403,23586.92927 +Sweden,Europe,1992,78.16,8718867,23880.01683 +Sweden,Europe,1997,79.39,8897619,25266.59499 +Sweden,Europe,2002,80.04,8954175,29341.63093 +Sweden,Europe,2007,80.884,9031088,33859.74835 +Switzerland,Europe,1952,69.62,4815000,14734.23275 +Switzerland,Europe,1957,70.56,5126000,17909.48973 +Switzerland,Europe,1962,71.32,5666000,20431.0927 +Switzerland,Europe,1967,72.77,6063000,22966.14432 +Switzerland,Europe,1972,73.78,6401400,27195.11304 +Switzerland,Europe,1977,75.39,6316424,26982.29052 +Switzerland,Europe,1982,76.21,6468126,28397.71512 +Switzerland,Europe,1987,77.41,6649942,30281.70459 +Switzerland,Europe,1992,78.03,6995447,31871.5303 +Switzerland,Europe,1997,79.37,7193761,32135.32301 +Switzerland,Europe,2002,80.62,7361757,34480.95771 +Switzerland,Europe,2007,81.701,7554661,37506.41907 +Syria,Asia,1952,45.883,3661549,1643.485354 +Syria,Asia,1957,48.284,4149908,2117.234893 +Syria,Asia,1962,50.305,4834621,2193.037133 +Syria,Asia,1967,53.655,5680812,1881.923632 +Syria,Asia,1972,57.296,6701172,2571.423014 +Syria,Asia,1977,61.195,7932503,3195.484582 +Syria,Asia,1982,64.59,9410494,3761.837715 +Syria,Asia,1987,66.974,11242847,3116.774285 +Syria,Asia,1992,69.249,13219062,3340.542768 +Syria,Asia,1997,71.527,15081016,4014.238972 +Syria,Asia,2002,73.053,17155814,4090.925331 +Syria,Asia,2007,74.143,19314747,4184.548089 +Taiwan,Asia,1952,58.5,8550362,1206.947913 +Taiwan,Asia,1957,62.4,10164215,1507.86129 +Taiwan,Asia,1962,65.2,11918938,1822.879028 +Taiwan,Asia,1967,67.5,13648692,2643.858681 +Taiwan,Asia,1972,69.39,15226039,4062.523897 +Taiwan,Asia,1977,70.59,16785196,5596.519826 +Taiwan,Asia,1982,72.16,18501390,7426.354774 +Taiwan,Asia,1987,73.4,19757799,11054.56175 +Taiwan,Asia,1992,74.26,20686918,15215.6579 +Taiwan,Asia,1997,75.25,21628605,20206.82098 +Taiwan,Asia,2002,76.99,22454239,23235.42329 +Taiwan,Asia,2007,78.4,23174294,28718.27684 +Tanzania,Africa,1952,41.215,8322925,716.6500721 +Tanzania,Africa,1957,42.974,9452826,698.5356073 +Tanzania,Africa,1962,44.246,10863958,722.0038073 +Tanzania,Africa,1967,45.757,12607312,848.2186575 +Tanzania,Africa,1972,47.62,14706593,915.9850592 +Tanzania,Africa,1977,49.919,17129565,962.4922932 +Tanzania,Africa,1982,50.608,19844382,874.2426069 +Tanzania,Africa,1987,51.535,23040630,831.8220794 +Tanzania,Africa,1992,50.44,26605473,825.682454 +Tanzania,Africa,1997,48.466,30686889,789.1862231 +Tanzania,Africa,2002,49.651,34593779,899.0742111 +Tanzania,Africa,2007,52.517,38139640,1107.482182 +Thailand,Asia,1952,50.848,21289402,757.7974177 +Thailand,Asia,1957,53.63,25041917,793.5774148 +Thailand,Asia,1962,56.061,29263397,1002.199172 +Thailand,Asia,1967,58.285,34024249,1295.46066 +Thailand,Asia,1972,60.405,39276153,1524.358936 +Thailand,Asia,1977,62.494,44148285,1961.224635 +Thailand,Asia,1982,64.597,48827160,2393.219781 +Thailand,Asia,1987,66.084,52910342,2982.653773 +Thailand,Asia,1992,67.298,56667095,4616.896545 +Thailand,Asia,1997,67.521,60216677,5852.625497 +Thailand,Asia,2002,68.564,62806748,5913.187529 +Thailand,Asia,2007,70.616,65068149,7458.396327 +Togo,Africa,1952,38.596,1219113,859.8086567 +Togo,Africa,1957,41.208,1357445,925.9083202 +Togo,Africa,1962,43.922,1528098,1067.53481 +Togo,Africa,1967,46.769,1735550,1477.59676 +Togo,Africa,1972,49.759,2056351,1649.660188 +Togo,Africa,1977,52.887,2308582,1532.776998 +Togo,Africa,1982,55.471,2644765,1344.577953 +Togo,Africa,1987,56.941,3154264,1202.201361 +Togo,Africa,1992,58.061,3747553,1034.298904 +Togo,Africa,1997,58.39,4320890,982.2869243 +Togo,Africa,2002,57.561,4977378,886.2205765 +Togo,Africa,2007,58.42,5701579,882.9699438 +Trinidad and Tobago,Americas,1952,59.1,662850,3023.271928 +Trinidad and Tobago,Americas,1957,61.8,764900,4100.3934 +Trinidad and Tobago,Americas,1962,64.9,887498,4997.523971 +Trinidad and Tobago,Americas,1967,65.4,960155,5621.368472 +Trinidad and Tobago,Americas,1972,65.9,975199,6619.551419 +Trinidad and Tobago,Americas,1977,68.3,1039009,7899.554209 +Trinidad and Tobago,Americas,1982,68.832,1116479,9119.528607 +Trinidad and Tobago,Americas,1987,69.582,1191336,7388.597823 +Trinidad and Tobago,Americas,1992,69.862,1183669,7370.990932 +Trinidad and Tobago,Americas,1997,69.465,1138101,8792.573126 +Trinidad and Tobago,Americas,2002,68.976,1101832,11460.60023 +Trinidad and Tobago,Americas,2007,69.819,1056608,18008.50924 +Tunisia,Africa,1952,44.6,3647735,1468.475631 +Tunisia,Africa,1957,47.1,3950849,1395.232468 +Tunisia,Africa,1962,49.579,4286552,1660.30321 +Tunisia,Africa,1967,52.053,4786986,1932.360167 +Tunisia,Africa,1972,55.602,5303507,2753.285994 +Tunisia,Africa,1977,59.837,6005061,3120.876811 +Tunisia,Africa,1982,64.048,6734098,3560.233174 +Tunisia,Africa,1987,66.894,7724976,3810.419296 +Tunisia,Africa,1992,70.001,8523077,4332.720164 +Tunisia,Africa,1997,71.973,9231669,4876.798614 +Tunisia,Africa,2002,73.042,9770575,5722.895655 +Tunisia,Africa,2007,73.923,10276158,7092.923025 +Turkey,Europe,1952,43.585,22235677,1969.10098 +Turkey,Europe,1957,48.079,25670939,2218.754257 +Turkey,Europe,1962,52.098,29788695,2322.869908 +Turkey,Europe,1967,54.336,33411317,2826.356387 +Turkey,Europe,1972,57.005,37492953,3450.69638 +Turkey,Europe,1977,59.507,42404033,4269.122326 +Turkey,Europe,1982,61.036,47328791,4241.356344 +Turkey,Europe,1987,63.108,52881328,5089.043686 +Turkey,Europe,1992,66.146,58179144,5678.348271 +Turkey,Europe,1997,68.835,63047647,6601.429915 +Turkey,Europe,2002,70.845,67308928,6508.085718 +Turkey,Europe,2007,71.777,71158647,8458.276384 +Uganda,Africa,1952,39.978,5824797,734.753484 +Uganda,Africa,1957,42.571,6675501,774.3710692 +Uganda,Africa,1962,45.344,7688797,767.2717398 +Uganda,Africa,1967,48.051,8900294,908.9185217 +Uganda,Africa,1972,51.016,10190285,950.735869 +Uganda,Africa,1977,50.35,11457758,843.7331372 +Uganda,Africa,1982,49.849,12939400,682.2662268 +Uganda,Africa,1987,51.509,15283050,617.7244065 +Uganda,Africa,1992,48.825,18252190,644.1707969 +Uganda,Africa,1997,44.578,21210254,816.559081 +Uganda,Africa,2002,47.813,24739869,927.7210018 +Uganda,Africa,2007,51.542,29170398,1056.380121 +United Kingdom,Europe,1952,69.18,50430000,9979.508487 +United Kingdom,Europe,1957,70.42,51430000,11283.17795 +United Kingdom,Europe,1962,70.76,53292000,12477.17707 +United Kingdom,Europe,1967,71.36,54959000,14142.85089 +United Kingdom,Europe,1972,72.01,56079000,15895.11641 +United Kingdom,Europe,1977,72.76,56179000,17428.74846 +United Kingdom,Europe,1982,74.04,56339704,18232.42452 +United Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 +Uruguay,Americas,1952,66.071,2252965,5716.766744 +Uruguay,Americas,1957,67.044,2424959,6150.772969 +Uruguay,Americas,1962,68.253,2598466,5603.357717 +Uruguay,Americas,1967,68.468,2748579,5444.61962 +Uruguay,Americas,1972,68.673,2829526,5703.408898 +Uruguay,Americas,1977,69.481,2873520,6504.339663 +Uruguay,Americas,1982,70.805,2953997,6920.223051 +Uruguay,Americas,1987,71.918,3045153,7452.398969 +Uruguay,Americas,1992,72.752,3149262,8137.004775 +Uruguay,Americas,1997,74.223,3262838,9230.240708 +Uruguay,Americas,2002,75.307,3363085,7727.002004 +Uruguay,Americas,2007,76.384,3447496,10611.46299 +Venezuela,Americas,1952,55.088,5439568,7689.799761 +Venezuela,Americas,1957,57.907,6702668,9802.466526 +Venezuela,Americas,1962,60.77,8143375,8422.974165 +Venezuela,Americas,1967,63.479,9709552,9541.474188 +Venezuela,Americas,1972,65.712,11515649,10505.25966 +Venezuela,Americas,1977,67.456,13503563,13143.95095 +Venezuela,Americas,1982,68.557,15620766,11152.41011 +Venezuela,Americas,1987,70.19,17910182,9883.584648 +Venezuela,Americas,1992,71.15,20265563,10733.92631 +Venezuela,Americas,1997,72.146,22374398,10165.49518 +Venezuela,Americas,2002,72.766,24287670,8605.047831 +Venezuela,Americas,2007,73.747,26084662,11415.80569 +Vietnam,Asia,1952,40.412,26246839,605.0664917 +Vietnam,Asia,1957,42.887,28998543,676.2854478 +Vietnam,Asia,1962,45.363,33796140,772.0491602 +Vietnam,Asia,1967,47.838,39463910,637.1232887 +Vietnam,Asia,1972,50.254,44655014,699.5016441 +Vietnam,Asia,1977,55.764,50533506,713.5371196 +Vietnam,Asia,1982,58.816,56142181,707.2357863 +Vietnam,Asia,1987,62.82,62826491,820.7994449 +Vietnam,Asia,1992,67.662,69940728,989.0231487 +Vietnam,Asia,1997,70.672,76048996,1385.896769 +Vietnam,Asia,2002,73.017,80908147,1764.456677 +Vietnam,Asia,2007,74.249,85262356,2441.576404 +West Bank and Gaza,Asia,1952,43.16,1030585,1515.592329 +West Bank and Gaza,Asia,1957,45.671,1070439,1827.067742 +West Bank and Gaza,Asia,1962,48.127,1133134,2198.956312 +West Bank and Gaza,Asia,1967,51.631,1142636,2649.715007 +West Bank and Gaza,Asia,1972,56.532,1089572,3133.409277 +West Bank and Gaza,Asia,1977,60.765,1261091,3682.831494 +West Bank and Gaza,Asia,1982,64.406,1425876,4336.032082 +West Bank and Gaza,Asia,1987,67.046,1691210,5107.197384 +West Bank and Gaza,Asia,1992,69.718,2104779,6017.654756 +West Bank and Gaza,Asia,1997,71.096,2826046,7110.667619 +West Bank and Gaza,Asia,2002,72.37,3389578,4515.487575 +West Bank and Gaza,Asia,2007,73.422,4018332,3025.349798 +"Yemen, Rep.",Asia,1952,32.548,4963829,781.7175761 +"Yemen, Rep.",Asia,1957,33.97,5498090,804.8304547 +"Yemen, Rep.",Asia,1962,35.18,6120081,825.6232006 +"Yemen, Rep.",Asia,1967,36.984,6740785,862.4421463 +"Yemen, Rep.",Asia,1972,39.848,7407075,1265.047031 +"Yemen, Rep.",Asia,1977,44.175,8403990,1829.765177 +"Yemen, Rep.",Asia,1982,49.113,9657618,1977.55701 +"Yemen, Rep.",Asia,1987,52.922,11219340,1971.741538 +"Yemen, Rep.",Asia,1992,55.599,13367997,1879.496673 +"Yemen, Rep.",Asia,1997,58.02,15826497,2117.484526 +"Yemen, Rep.",Asia,2002,60.308,18701257,2234.820827 +"Yemen, Rep.",Asia,2007,62.698,22211743,2280.769906 +Zambia,Africa,1952,42.038,2672000,1147.388831 +Zambia,Africa,1957,44.077,3016000,1311.956766 +Zambia,Africa,1962,46.023,3421000,1452.725766 +Zambia,Africa,1967,47.768,3900000,1777.077318 +Zambia,Africa,1972,50.107,4506497,1773.498265 +Zambia,Africa,1977,51.386,5216550,1588.688299 +Zambia,Africa,1982,51.821,6100407,1408.678565 +Zambia,Africa,1987,50.821,7272406,1213.315116 +Zambia,Africa,1992,46.1,8381163,1210.884633 +Zambia,Africa,1997,40.238,9417789,1071.353818 +Zambia,Africa,2002,39.193,10595811,1071.613938 +Zambia,Africa,2007,42.384,11746035,1271.211593 +Zimbabwe,Africa,1952,48.451,3080907,406.8841148 +Zimbabwe,Africa,1957,50.469,3646340,518.7642681 +Zimbabwe,Africa,1962,52.358,4277736,527.2721818 +Zimbabwe,Africa,1967,53.995,4995432,569.7950712 +Zimbabwe,Africa,1972,55.635,5861135,799.3621758 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    Reporte Notas - Estadística Correlacional 2023

    +
    + + + +
    + + +
    +
    Fecha de publicación
    +
    +

    25 de octubre de 2023

    +
    +
    + + +
    + + + +
    + + +
    +

    Prueba 1

    +
    +

    Librerías & datos

    +
    +
    pacman::p_load(googlesheets4, dplyr, sjmisc,sjPlot, kableExtra, sjlabelled )
    +
    +
    +
    +
     [1] "N"            "Persona"      "p1-a"         "p1-b"         "p2"          
+ [6] "p3"           "p4"           "p5"           "pje"          "Nota 60%"    
+[11] "corrector/a"  "decimas"      "nota_final"   "Recorrección" "...15"       
+[16] "...16"
    +
    +
    +
    +
    load("prueba1.Rdata")
    +
    +
    +
    +

    Etiquetados

    +
    +
    # Label variables
+
+prueba1$p1a <- set_label(x = prueba1$p1a, 
+                         label = "Cálculo Pearson")
+prueba1$p1b <- set_label(x = prueba1$p1b, 
+                         label = "Interpretación Pearson")
+prueba1$p2 <- set_label(x = prueba1$p2, 
+                         label = "Limitación Pearson")
+prueba1$p3 <- set_label(x = prueba1$p3, 
+                         label = "Coeficiente determinación")
+prueba1$p4 <- set_label(x = prueba1$p4, 
+                         label = "Spearman")
+prueba1$p5 <- set_label(x = prueba1$p5, 
+                         label = "Perdidos matrices")
    +
    +
    +
    +

    Tabla descriptiva

    +
    +
    prueba1 %>% descr(., show = c("label","range", "mean", "sd", "n"))%>% kable(.,"markdown", digits=2)
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    varlabelnmeansdrange
    2p1aCálculo Pearson791.781.293 (0-3)
    3p1bInterpretación Pearson791.660.783 (0-3)
    4p2Limitación Pearson791.530.692 (0-2)
    5p3Coeficiente determinación791.500.642 (0-2)
    6p4Spearman791.390.812 (0-2)
    7p5Perdidos matrices790.990.892 (0-2)
    1nota_finalnota_final794.541.406 (1-7)
    +
    +
    +
    +
    +

    Gráficos descriptivos

    +
    +
    hist(prueba1$nota_final)
    +
    +
    +
    +

    +
    +
    +
    +
    plot_frq(data = prueba1$nota_final,type = "hist",show.mean = T)
    +
    +
    +
    +

    +
    +
    +
    +
    +
    +
    prueba1 <- prueba1 %>%  mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c("Menor a 4.0","4.0-5.0","5.0-6.0","6.0-7.0")))
+
+frq(prueba1$notas_cat)
    +
    +
    x <categorical> 
+# total N=88 valid N=79 mean=2.23 sd=1.13
+
+Value       |  N | Raw % | Valid % | Cum. %
+-------------------------------------------
+Menor a 4.0 | 30 | 34.09 |   37.97 |  37.97
+4.0-5.0     | 14 | 15.91 |   17.72 |  55.70
+5.0-6.0     | 22 | 25.00 |   27.85 |  83.54
+6.0-7.0     | 13 | 14.77 |   16.46 | 100.00
+<NA>        |  9 | 10.23 |    <NA> |   <NA>
    +
    +
    prueba1 <- prueba1 %>% dplyr::select(-notas_cat)
    +
    +
    +
    +

    Preguntas y asociaciones

    +
    +
    tab_corr(prueba1,
+         triangle = "lower")
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
     Cálculo PearsonInterpretación PearsonLimitación PearsonCoeficiente determinaciónSpearmanPerdidos matricesnota_final
    Cálculo Pearson       
    Interpretación Pearson0.405***      
    Limitación Pearson0.2110.153     
    Coeficiente determinación0.271*0.407***0.267*    
    Spearman0.229*0.2030.375***0.197   
    Perdidos matrices0.0630.1270.435***0.0950.277*  
    nota_final0.696***0.627***0.619***0.524***0.583***0.539*** 
    Computed correlation used pearson-method with listwise-deletion.
    +
    +
    +
    +
    plot_scatter(prueba1, p1a, p1b)
    +
    +
    +
    +

    +
    +
    +
    +
    +

    Consistencia interna

    +
    +
    pacman::p_load(ltm)
+
+preguntas <- prueba1 %>% dplyr::select(-nota_final)
+cronbach.alpha(na.omit(preguntas))
    +
    +
    
+Cronbach's alpha for the 'na.omit(preguntas)' data-set
+
+Items: 6
+Sample units: 79
+alpha: 0.634
    +
    +
    +
    +
    +
    +

    Prueba 2

    +
    +

    Datos

    +
    +
    load("prueba2.Rdata")
    +
    +
    +
    +

    Adecuación preguntas

    +

    La prueba tiene dos formas: A y B, la única diferencia es en el orden de las preguntas, la forma A parte por la pregunta sobre identificación con la izquierda, mientras que en la forma B la primera pregunta es la de CASEN. Para poder realizar un correcto análisis de las preguntas vamos a adaptar la forma B a la A.

    +
    +
    frq(prueba2$forma)
    +
    +
    x <character> 
+# total N=87 valid N=72 mean=1.50 sd=0.50
+
+Value |  N | Raw % | Valid % | Cum. %
+-------------------------------------
+A     | 36 | 41.38 |      50 |     50
+B     | 36 | 41.38 |      50 |    100
+<NA>  | 15 | 17.24 |    <NA> |   <NA>
    +
    +
    A <- subset(prueba2, subset = prueba2$forma=="A")
+B <- subset(prueba2, subset = prueba2$forma=="B")
+dim(A)
    +
    +
    [1] 36  8
    +
    +
    dim(B)
    +
    +
    [1] 36  8
    +
    +
    descr(B, show = "mean")
    +
    +
    
+## Basic descriptive statistics
+
+        var mean
+        p1a 1.33
+        p1b 1.36
+        p1c 1.31
+        p2a 1.39
+        p2b 1.28
+        p2c 1.32
+ nota_final 4.58
    +
    +
    B <- B %>% rename("p1a"="p2a", 
+                  "p1b"="p2b",
+                  "p1c"="p2c",
+                  "p2a"="p1a",
+                  "p2b"="p1b",
+                  "p2c"="p1c")
+
+descr(B, show = "mean")
    +
    +
    
+## Basic descriptive statistics
+
+        var mean
+        p2a 1.33
+        p2b 1.36
+        p2c 1.31
+        p1a 1.39
+        p1b 1.28
+        p1c 1.32
+ nota_final 4.58
    +
    +
    prueba2 <- rbind(A,B)
    +
    +
    +
    +

    Etiquetados

    +
    +
    # Label variables
+
+prueba2$p1a <- set_label(x = prueba2$p1a, 
+                         label = "H1 promedio direccional")
+prueba2$p1b <- set_label(x = prueba2$p1b, 
+                         label = "Prueba promedios")
+prueba2$p1c <- set_label(x = prueba2$p1c, 
+                         label = "Rechazo H0")
+prueba2$p2a <- set_label(x = prueba2$p2a, 
+                         label = "H1 proporcion no direccional")
+prueba2$p2b <- set_label(x = prueba2$p2b, 
+                         label = "Error tipo 1")
+prueba2$p2c <- set_label(x = prueba2$p2c, 
+                         label = "Intervalo confianza")
    +
    +
    +
    +

    Tabla descriptiva

    +
    +
    prueba2 %>% descr(., show = c("label","range", "mean", "sd", "n"))%>% kable(.,"markdown", digits=2)
    +
    + +++++++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    varlabelnmeansdrange
    2p1aH1 promedio direccional721.360.632 (0-2)
    3p1bPrueba promedios721.240.862 (0-2)
    4p1cRechazo H0721.270.702 (0-2)
    5p2aH1 proporcion no direccional721.260.682 (0-2)
    6p2bError tipo 1721.270.792 (0-2)
    7p2cIntervalo confianza721.140.722 (0-2)
    1nota_finalnota_final724.371.235.6 (1.4-7)
    +
    +
    +
    +
    +

    Gráficos descriptivos

    +
    +
    hist(prueba2$nota_final)
    +
    +
    +
    +

    +
    +
    +
    +
    plot_frq(data = prueba2$nota_final,type = "hist",show.mean = T)
    +
    +
    +
    +

    +
    +
    +
    +
    +
    +
    prueba2 <- prueba2 %>%  mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c("Menor a 4.0","4.0-5.0","5.0-6.0","6.0-7.0")))
+
+frq(prueba2$notas_cat)
    +
    +
    x <categorical> 
+# total N=72 valid N=72 mean=2.06 sd=1.02
+
+Value       |  N | Raw % | Valid % | Cum. %
+-------------------------------------------
+Menor a 4.0 | 28 | 38.89 |   38.89 |  38.89
+4.0-5.0     | 19 | 26.39 |   26.39 |  65.28
+5.0-6.0     | 18 | 25.00 |   25.00 |  90.28
+6.0-7.0     |  7 |  9.72 |    9.72 | 100.00
+<NA>        |  0 |  0.00 |    <NA> |   <NA>
    +
    +
    prueba2 <- prueba2 %>% dplyr::select(-notas_cat)
    +
    +
    +
    +

    Preguntas y asociaciones

    +
    +
    prueba2 <- prueba2 %>% dplyr::select(-forma)
+tab_corr(prueba2,
+         triangle = "lower")
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
     H1 promedio direccionalPrueba promediosRechazo H0H1 proporcion no direccionalError tipo 1Intervalo confianzanota_final
    H1 promedio direccional       
    Prueba promedios0.295*      
    Rechazo H00.397***0.488***     
    H1 proporcion no direccional0.1080.094-0.060    
    Error tipo 1-0.2040.0390.031-0.039   
    Intervalo confianza0.0470.2060.308**0.1690.351**  
    nota_final0.469***0.677***0.650***0.370**0.404***0.631*** 
    Computed correlation used pearson-method with listwise-deletion.
    +
    +
    +

    Consistencia interna

    +
    +
    pacman::p_load(ltm)
+
+preguntas <- prueba2 %>% dplyr::select(-nota_final)
+cronbach.alpha(na.omit(preguntas))
    +
    +
    
+Cronbach's alpha for the 'na.omit(preguntas)' data-set
+
+Items: 6
+Sample units: 72
+alpha: 0.513
    +
    +
    +
    +
    +
    +

    Pruebas 1 & 2

    +
    +
    # rescatar ID secuencial
+
+prueba1 <- read_sheet('https://docs.google.com/spreadsheets/d/1ahL6yZpDRUmFFnilWHqMKchNqzVzAo7YZiA401crxGA/edit?usp=sharing', sheet = "Prueba 1 2023-10-10")
+
+prueba2 <- read_sheet('https://docs.google.com/spreadsheets/d/1lnZ7ojc3jxAMTFwC5Y_Wble08YaONTNTaPdz7KnDOXI/edit#gid=1600039458', sheet ="Prueba 2 2023-11-19")
+
+prueba1 <- prueba1 %>% dplyr::select(RUT,Nota) %>%  rename("Nota_p1"="Nota") 
+prueba2 <- prueba2 %>% dplyr::select(RUT,Nota) %>% rename("Nota_p2"="Nota") 
+
+pruebas <- merge(prueba1, prueba2, by = 'RUT')
+
+plot_scatter(pruebas, Nota_p1, Nota_p2)
    +
    +
    +
    +

    +
    +
    +
    +
    pruebas_c <-na.omit(pruebas)
+cor(pruebas_c$Nota_p1, pruebas_c$Nota_p2)
    +
    +
    [1] 0.2952938
    +
    +
    + + +
    + +
    + +
    + + + + + + \ No newline at end of file diff --git a/docs/files/reporte_notas/reporte_notas.qmd b/docs/files/reporte_notas/reporte_notas.qmd new file mode 100644 index 00000000..aceb787c --- /dev/null +++ b/docs/files/reporte_notas/reporte_notas.qmd @@ -0,0 +1,238 @@ +--- +title: "Reporte Notas - Estadística Correlacional 2023 " +date: "2023-10-25" +lang: es +website: + comments: + giscus: + repo: cursos-metodos-facso/correlacional +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE, + message = FALSE, + warning = FALSE) +``` + +# Prueba 1 + +## Librerías & datos + +```{r } +pacman::p_load(googlesheets4, dplyr, sjmisc,sjPlot, kableExtra, sjlabelled ) +``` + +```{r echo=FALSE} +#Read google sheets data into R +prueba1 <- read_sheet('https://docs.google.com/spreadsheets/d/1ahL6yZpDRUmFFnilWHqMKchNqzVzAo7YZiA401crxGA/edit?usp=sharing', sheet = "puntaje-prueba1") + +names(prueba1) +prueba1 <- prueba1 %>% rename("p1a"="p1-a", + "p1b"="p1-b") +prueba1 <- prueba1 %>% dplyr::select(p1a:p5,nota_final) +``` + + +```{r eval=FALSE} +load("prueba1.Rdata") +``` + + +## Etiquetados +```{r} +# Label variables + +prueba1$p1a <- set_label(x = prueba1$p1a, + label = "Cálculo Pearson") +prueba1$p1b <- set_label(x = prueba1$p1b, + label = "Interpretación Pearson") +prueba1$p2 <- set_label(x = prueba1$p2, + label = "Limitación Pearson") +prueba1$p3 <- set_label(x = prueba1$p3, + label = "Coeficiente determinación") +prueba1$p4 <- set_label(x = prueba1$p4, + label = "Spearman") +prueba1$p5 <- set_label(x = prueba1$p5, + label = "Perdidos matrices") + +``` + + +## Tabla descriptiva + +```{r} +prueba1 %>% descr(., show = c("label","range", "mean", "sd", "n"))%>% kable(.,"markdown", digits=2) +``` + +## Gráficos descriptivos + +```{r} +hist(prueba1$nota_final) +plot_frq(data = prueba1$nota_final,type = "hist",show.mean = T) +``` + + +```{r} +prueba1 <- prueba1 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c("Menor a 4.0","4.0-5.0","5.0-6.0","6.0-7.0"))) + +frq(prueba1$notas_cat) + +prueba1 <- prueba1 %>% dplyr::select(-notas_cat) +``` + +## Preguntas y asociaciones + +```{r} +tab_corr(prueba1, + triangle = "lower") +``` + + +```{r} +plot_scatter(prueba1, p1a, p1b) +``` + + +**Consistencia interna** + +```{r} +pacman::p_load(ltm) + +preguntas <- prueba1 %>% dplyr::select(-nota_final) +cronbach.alpha(na.omit(preguntas)) +``` + +# Prueba 2 + +## Datos + +```{r echo=FALSE, results=FALSE} +#Read google sheets data into R +prueba2 <- read_sheet('https://docs.google.com/spreadsheets/d/1lnZ7ojc3jxAMTFwC5Y_Wble08YaONTNTaPdz7KnDOXI/edit#gid=1600039458', sheet = "puntaje-prueba2") + +names(prueba2) +prueba2 <- prueba2 %>% rename("p1a"="p1-a", + "p1b"="p1-b", + "p1c"="p1-c", + "p2a"="p2-a", + "p2b"="p2-b", + "p2c"="p2-c") + +prueba2 <- prueba2 %>% dplyr::select(forma,p1a:p2c,nota_final) +``` + + +```{r eval=FALSE} +load("prueba2.Rdata") +``` + + +## Adecuación preguntas + +La prueba tiene dos formas: A y B, la única diferencia es en el orden de las preguntas, la forma A parte por la pregunta sobre identificación con la izquierda, mientras que en la forma B la primera pregunta es la de CASEN. Para poder realizar un correcto análisis de las preguntas vamos a adaptar la forma B a la A. + +```{r} +frq(prueba2$forma) + +A <- subset(prueba2, subset = prueba2$forma=="A") +B <- subset(prueba2, subset = prueba2$forma=="B") +dim(A) +dim(B) + +descr(B, show = "mean") + +B <- B %>% rename("p1a"="p2a", + "p1b"="p2b", + "p1c"="p2c", + "p2a"="p1a", + "p2b"="p1b", + "p2c"="p1c") + +descr(B, show = "mean") +prueba2 <- rbind(A,B) + +``` + + + +## Etiquetados +```{r} +# Label variables + +prueba2$p1a <- set_label(x = prueba2$p1a, + label = "H1 promedio direccional") +prueba2$p1b <- set_label(x = prueba2$p1b, + label = "Prueba promedios") +prueba2$p1c <- set_label(x = prueba2$p1c, + label = "Rechazo H0") +prueba2$p2a <- set_label(x = prueba2$p2a, + label = "H1 proporcion no direccional") +prueba2$p2b <- set_label(x = prueba2$p2b, + label = "Error tipo 1") +prueba2$p2c <- set_label(x = prueba2$p2c, + label = "Intervalo confianza") + +``` + + +## Tabla descriptiva + +```{r} +prueba2 %>% descr(., show = c("label","range", "mean", "sd", "n"))%>% kable(.,"markdown", digits=2) +``` + +## Gráficos descriptivos + +```{r} +hist(prueba2$nota_final) +plot_frq(data = prueba2$nota_final,type = "hist",show.mean = T) +``` + + +```{r} +prueba2 <- prueba2 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c("Menor a 4.0","4.0-5.0","5.0-6.0","6.0-7.0"))) + +frq(prueba2$notas_cat) + +prueba2 <- prueba2 %>% dplyr::select(-notas_cat) +``` + +## Preguntas y asociaciones + +```{r} +prueba2 <- prueba2 %>% dplyr::select(-forma) +tab_corr(prueba2, + triangle = "lower") +``` + + +**Consistencia interna** + +```{r} +pacman::p_load(ltm) + +preguntas <- prueba2 %>% dplyr::select(-nota_final) +cronbach.alpha(na.omit(preguntas)) +``` + + +# Pruebas 1 & 2 + +```{r} + +# rescatar ID secuencial + +prueba1 <- read_sheet('https://docs.google.com/spreadsheets/d/1ahL6yZpDRUmFFnilWHqMKchNqzVzAo7YZiA401crxGA/edit?usp=sharing', sheet = "Prueba 1 2023-10-10") + +prueba2 <- read_sheet('https://docs.google.com/spreadsheets/d/1lnZ7ojc3jxAMTFwC5Y_Wble08YaONTNTaPdz7KnDOXI/edit#gid=1600039458', sheet ="Prueba 2 2023-11-19") + +prueba1 <- prueba1 %>% dplyr::select(RUT,Nota) %>% rename("Nota_p1"="Nota") +prueba2 <- prueba2 %>% dplyr::select(RUT,Nota) %>% rename("Nota_p2"="Nota") + +pruebas <- merge(prueba1, prueba2, by = 'RUT') + +plot_scatter(pruebas, Nota_p1, Nota_p2) +pruebas_c <-na.omit(pruebas) +cor(pruebas_c$Nota_p1, pruebas_c$Nota_p2) +``` + diff --git a/docs/files/reporte_notas/reporte_notas_files/figure-html/unnamed-chunk-10-1.png b/docs/files/reporte_notas/reporte_notas_files/figure-html/unnamed-chunk-10-1.png new file mode 100644 index 00000000..ba8f022d Binary files /dev/null and b/docs/files/reporte_notas/reporte_notas_files/figure-html/unnamed-chunk-10-1.png differ diff --git a/docs/files/reporte_notas/reporte_notas_files/figure-html/unnamed-chunk-16-1.png b/docs/files/reporte_notas/reporte_notas_files/figure-html/unnamed-chunk-16-1.png new file 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+DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/05-problem-set.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-1b101720-2c4d-400f-a66b-1e621b91b7af +DTSTART;VALUE=DATE:20230322 +DTEND;VALUE=DATE:20230323 +SUMMARY:PMAP 8521: (Session 10) Regression discontinuity I +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/content/10-content.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-d6c118dd-9e85-48fa-bcf3-3a94a75973e5 +DTSTART;VALUE=DATE:20230322 +DTEND;VALUE=DATE:20230323 +SUMMARY:PMAP 8521: Weekly check-in 10 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-632209fd-14c7-49d8-8c22-23c52ad5dd95 +DTSTART;VALUE=DATE:20230329 +DTEND;VALUE=DATE:20230330 +SUMMARY:PMAP 8521: Problem set 6 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/06-problem-set.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-ad8c68c7-f8b5-4a68-a78d-0432720d6a60 +DTSTART;VALUE=DATE:20230329 +DTEND;VALUE=DATE:20230330 +SUMMARY:PMAP 8521: (Session 11) Instrumental variables I +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/content/11-content.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-568ea08c-c07b-4830-8c5a-adbedd7c95cd +DTSTART;VALUE=DATE:20230329 +DTEND;VALUE=DATE:20230330 +SUMMARY:PMAP 8521: Weekly check-in 11 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-e645bd87-c6ab-45f3-a600-bab9d734ed51 +DTSTART;VALUE=DATE:20230405 +DTEND;VALUE=DATE:20230406 +SUMMARY:PMAP 8521: Problem set 7 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/07-problem-set.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-dd62ed8a-80c8-4685-b7e9-509730565b35 +DTSTART;VALUE=DATE:20230405 +DTEND;VALUE=DATE:20230406 +SUMMARY:PMAP 8521: (Session 12) Instrumental variables II + Regression discontinuity II +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/content/12-content.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-ce3ec323-41ad-43d2-8d30-0ea34787180e +DTSTART;VALUE=DATE:20230405 +DTEND;VALUE=DATE:20230406 +SUMMARY:PMAP 8521: Weekly check-in 12 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-84e8d616-9e18-4e65-93b9-3e63c00c3393 +DTSTART;VALUE=DATE:20230412 +DTEND;VALUE=DATE:20230413 +SUMMARY:PMAP 8521: Problem set 8 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/08-problem-set.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-888aaac4-3c27-4de4-984a-89ebbdc9fc42 +DTSTART;VALUE=DATE:20230412 +DTEND;VALUE=DATE:20230420 +SUMMARY:PMAP 8521: Exam 2 +DESCRIPTION: +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-4418345a-0b28-4455-a262-881ca601fe09 +DTSTART;VALUE=DATE:20230412 +DTEND;VALUE=DATE:20230413 +SUMMARY:PMAP 8521: (Session 13) Choosing and planning ethical evaluations +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/content/13-content.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-8966f0a0-dd91-49c5-aada-0fbbdc1f2119 +DTSTART;VALUE=DATE:20230412 +DTEND;VALUE=DATE:20230413 +SUMMARY:PMAP 8521: Weekly check-in 13 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-000c9d8e-8f55-4f04-87c4-e4b9764026b8 +DTSTART;VALUE=DATE:20230419 +DTEND;VALUE=DATE:20230420 +SUMMARY:PMAP 8521: Problem set 9 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/09-problem-set.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-2d9db45e-aa0f-4a5b-86fc-2393dc11e8bc +DTSTART;VALUE=DATE:20230419 +DTEND;VALUE=DATE:20230420 +SUMMARY:PMAP 8521: (Session 14) Ethics, stories, and curiosity +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/content/14-content.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-6ba0eb52-9d70-483e-820b-01a9f52403be +DTSTART;VALUE=DATE:20230419 +DTEND;VALUE=DATE:20230420 +SUMMARY:PMAP 8521: Weekly check-in 14 +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html +DTSTAMP:20230119T214517Z +END:VEVENT +BEGIN:VEVENT +UID:ical-a002a8b7-0997-4de7-859d-c3cb46cce21a +DTSTART;VALUE=DATE:20230430 +DTEND;VALUE=DATE:20230501 +SUMMARY:PMAP 8521: Final project due +DESCRIPTION:https://evalsp23.classes.andrewheiss.com/assignment/final-project.html +DTSTAMP:20230119T214517Z +END:VEVENT +END:VCALENDAR diff --git a/docs/files/schemes.odp b/docs/files/schemes.odp new file mode 100644 index 00000000..c9cf4bda Binary files /dev/null and b/docs/files/schemes.odp differ diff --git a/docs/files/social-image-sp23.png b/docs/files/social-image-sp23.png new file mode 100644 index 00000000..d17f5628 Binary files 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b/docs/index.html @@ -0,0 +1,853 @@ + + + + + + + + + + +Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Inferencia, asociación y reporte

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    SOC01019 • Segundo Semestre 2024
    Departamento de Sociología, Facultad de Ciencias Sociales
    Universidad de Chile

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    :::: {.columns}

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    Equipo docente

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    Profesor

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    Prof. Juan Carlos Castillo

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    Apoyos docentes

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    Martín Venegas

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    Andreas Laffert

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    Ayudantes

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    • Victoria Arias
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    • Javiera González
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    • Antonia Jiménez
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    • Sophia Karoussis
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    Sesiones

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    •   Lunes 10:15-11:45 - Aulario C/6

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    •   Martes 8:30-10:00 Aulario C7/C8 & FACSO 345

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    Contacto

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    E-mail es la mejor manera de ponerse en contacto conmigo y con el equipo docente del curso.

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    Para resolver dudas puntuales se recomienda el uso de los foros de clases y de las Guías prácticas.

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    Últimas informaciones

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    -> ir a página de Informaciones

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    Versiones previas del curso:

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    Prácticos parten próxima semana (Martes 27)

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    lunes agosto 19, 2024 at 12:00 AM

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    Inicialmente en el programa estaba contemplado que esta semana el martes 20 comenzaba la primera sesión de prácticos, para lo cual debían traer sus computadores. Esto se modifica, el práctico es el próximo martes 27.

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    Informaciones por acá

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    Monday August 19, 2024 at 12:00 AM

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    Estimad_s estudiantes, acá en esta pestaña quedará registro de las informaciones y actualizaciones del curso. De todas maneras se enviará link por correo a UCursos cuando haya noticias relevantes.

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    Sesión práctica martes 27 de agosto

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    Posted
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    viernes agosto 23, 2024 at 12:00 AM

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    Algunas informaciones importantes:

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    -El próximo martes 27 de agosto tendremos nuestra primera sesión práctica del curso.

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    -En esta instancia contaremos con el equipo docente completo y ayudantes.

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    -Aquellas personas que, por diversos motivos, no puedan contar con un computador personal para las sesiones del curso, les pedimos encarecidamente que rellenen este formulario: https://forms.gle/iGVJjAWRGYh9GGpZ8 Esta información nos permitirá ir organizando el uso de computadores de la sala de computación.

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    -Nos dividiremos en dos grupos: una parte del curso en las salas C7 y C8 del aulario C (idealmente quienes dispongan de computador) y otra parte en la sala 345 de computación del edificio nuevo de Facso (para quienes no puedan contar con un computador).

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    -Dentro de la próxima semana les enviaremos un correo respecto a la asignación de ayudantes para el asesoramiento en las unidades 1 y 2 del curso.

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    Asignación asesorías ayudantes

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    viernes agosto 30, 2024 at 12:00 AM

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    Durante las dos primeras unidades del curso l_s estudiantes están asignados a un/a ayudante para consultas y/o apoyo con los contenidos del curso. Sus ayudantes se contactarán con uds. para indicarles la forma y momentos de asesoría, también pueden ser contactados directamente mediante el correo de UCursos.

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    AyudanteEstudiante
    Antonia Jiménez F.Alarcón Riveros, Milen Valentina
    Arriagada Rodríguez, Javiera Ignacia
    Celpa Bugueño, Álvaro Giovanni
    Díaz Devia, Eduardo Ignacio
    Hernández Osses, Antonia Margarita
    Huerta Carrasco, Rodrigo Javier
    Kovacevic Ardiles, Ruby Mladenka
    Navarro Sánchez, Camila Alexandra
    Padilla Maureira, Belén Monserrat
    Zanca Garrido, Andrés Ignacio
    Cristóbal Mejías G.Antil Contreras, Ana Paula
    Beroíza Aguilar, Benjamín Daniel David
    Fuentes Fernández, Víctor Javier
    Olmos Jara, Vicente Martín
    Raccagni Mancilla, Matilda Isidora
    Rendic Gomez, Andres Nicolas
    Vásquez Campos, Fernanda María José
    Vega Villanueva, Martina Alejandra
    Fernanda Zúñiga M.Álvarez Cárdenas, Javiera Ignacia
    Castro Rojas, Joel Wilson
    Duclos González, Gaspar
    Faúndez Ramírez, Jennifer Paola
    González Núñez, Bastián Antonio
    Guzmán Reyes, Pablo Antonio
    Montecinos Quintanilla, Valentina Antonia
    Santos Chavarría, Catalina Paz
    Ismael AguayoBustos Pérez, Benjamín Alfredo
    Castillo Rojas, Anahi Constanza
    Chateau Vives, Manuela
    Maldonado Acevedo, Agustín Eduardo
    Morales Verdugo, Javiera Catalina
    Rivera Valenzuela, Luis Felipe
    Salas Aguilar, Maximiliano Alonso
    Thumala Raposo, Daniel
    Tsukame Díaz, Amalia Victoria
    Javiera GonzálezBuzio Aranda, Martina Javiera
    Cantillana Olave, Muriel Noelia
    Ferrel Higuera, Benjamin Tomas Alexandre
    Figueroa Tengner, Nino
    Mancilla Chaparro, Benjamín Patricio
    Mansilla Fuentes, Violeta Del Rosario
    Outerbridge Ortega, Nicolás Eduardo
    Rojas Murúa, Vicente Ignacio de Jesús
    Rojas Santander, Matías Nicolás
    Villatoro Cepeda, Martina Alejandra
    Jesús Díaz M.Arias Acuña, Antonio Domingo
    Consuegra Erazo, Lucas Andrés
    Jiménez Miranda, Constanza María
    Jiménez Morales, Rosita Monserrat
    Jullian Corral, Maite Ayelen
    Muñoz Caniuqueo, Ignacio Benjamín
    Osorio Huerta, Francisca Andrea
    Plaza Spate, Cristóbal Ignacio
    Venegas Moya, Alonso Elessar
    Luis RiosBalmaceda Yankovic, Bianca
    Caballero Salazar, Amador
    Canales Llanquitrú, Carla Jacqueline
    Gaete Morgado, Paulina Andrea
    Gatica Pailacura, Carolina Paz
    Martin Gerdes, Bastián Javier
    Mena Rojas, Martín Elías
    Valencia Almendras, Isidora Paz
    Vásquez Olivares, Catalina Ignacia
    María Fernanda Núñez G.Calderón Guajardo, Elisa Amanda
    Flores Fuentes, Matías Gabriel
    Gallo Novoa, Emilia Antonia
    Lagos Zúñiga, Martina Jacinta
    Latorre González, Camila Ignacia
    Poblete Duarte, José Patricio
    Roa Neira, Carla Denisse
    Silva Díaz, Catalina Rosario
    Vargas Olivares, Andrés Ignacio
    Sophia Karoussis P.Bascuñán Soto, Marta del Carmen
    Berríos Puentes, Rocío Belén
    Ferran Villagra, Catalina Sofía
    Guerrero Tapia, Daniela Sofía
    Palma Valladares, Elisa Victoria
    Peña Gaete, Micaela Fabiana
    Robledo Dávila, Martina Elisa
    Suárez Urbina, Rocío Belén
    Vega Gandolfo, Felipe Ignacio
    Victoria Arias O.Canales Calderón, Fernanda Paz
    Carrasco Gomberoff, Benjamín Eitan
    Ibarra Domínguez, Asunción Rebeca
    Isla Hernández, Paz Magdalena
    Núñez Pérez, Joaquín Emilio
    Reyes Aqueveque, Valeria Patricia
    Rivera Sepúlveda, Sofía Belén
    Santa Cruz Claro, Amalia Magdalena
    Soto Ortega, Martina Paz
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    Por dudas, comentarios o cambios respecto a esta asignación escribir a Andreas Laffert (Apoyo Docente) por UCursos.

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    +jueves agosto 29, 2024 at 12:00 AM + +Asignación asesorías ayudantes + +info, mail-UCursos +
    +viernes agosto 23, 2024 at 12:00 AM + +Sesión práctica martes 27 de agosto + +info, mail-UCursos +
    +lunes agosto 19, 2024 at 12:00 AM + +Prácticos parten próxima semana (Martes 27) + +info +
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    + + + + + + \ No newline at end of file diff --git a/docs/news/index.xml b/docs/news/index.xml new file mode 100644 index 00000000..f6904cc8 --- /dev/null +++ b/docs/news/index.xml @@ -0,0 +1,482 @@ + + + +Noticias y mensajes importantes Estadística Correlacional +https://correlacional.netlify.app/news/ + + +quarto-1.5.55 +Thu, 29 Aug 2024 04:00:00 GMT + + Asignación asesorías ayudantes + https://correlacional.netlify.app/news/2024-08-28_asignacion_ayudantes1.html + ← News + + + + +

    Durante las dos primeras unidades del curso l_s estudiantes están asignados a un/a ayudante para consultas y/o apoyo con los contenidos del curso. Sus ayudantes se contactarán con uds. para indicarles la forma y momentos de asesoría, también pueden ser contactados directamente mediante el correo de UCursos.

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    AyudanteEstudiante
    Antonia Jiménez F.Alarcón Riveros, Milen Valentina
    Arriagada Rodríguez, Javiera Ignacia
    Celpa Bugueño, Álvaro Giovanni
    Díaz Devia, Eduardo Ignacio
    Hernández Osses, Antonia Margarita
    Huerta Carrasco, Rodrigo Javier
    Kovacevic Ardiles, Ruby Mladenka
    Navarro Sánchez, Camila Alexandra
    Padilla Maureira, Belén Monserrat
    Zanca Garrido, Andrés Ignacio
    Cristóbal Mejías G.Antil Contreras, Ana Paula
    Beroíza Aguilar, Benjamín Daniel David
    Fuentes Fernández, Víctor Javier
    Olmos Jara, Vicente Martín
    Raccagni Mancilla, Matilda Isidora
    Rendic Gomez, Andres Nicolas
    Vásquez Campos, Fernanda María José
    Vega Villanueva, Martina Alejandra
    Fernanda Zúñiga M.Álvarez Cárdenas, Javiera Ignacia
    Castro Rojas, Joel Wilson
    Duclos González, Gaspar
    Faúndez Ramírez, Jennifer Paola
    González Núñez, Bastián Antonio
    Guzmán Reyes, Pablo Antonio
    Montecinos Quintanilla, Valentina Antonia
    Santos Chavarría, Catalina Paz
    Ismael AguayoBustos Pérez, Benjamín Alfredo
    Castillo Rojas, Anahi Constanza
    Chateau Vives, Manuela
    Maldonado Acevedo, Agustín Eduardo
    Morales Verdugo, Javiera Catalina
    Rivera Valenzuela, Luis Felipe
    Salas Aguilar, Maximiliano Alonso
    Thumala Raposo, Daniel
    Tsukame Díaz, Amalia Victoria
    Javiera GonzálezBuzio Aranda, Martina Javiera
    Cantillana Olave, Muriel Noelia
    Ferrel Higuera, Benjamin Tomas Alexandre
    Figueroa Tengner, Nino
    Mancilla Chaparro, Benjamín Patricio
    Mansilla Fuentes, Violeta Del Rosario
    Outerbridge Ortega, Nicolás Eduardo
    Rojas Murúa, Vicente Ignacio de Jesús
    Rojas Santander, Matías Nicolás
    Villatoro Cepeda, Martina Alejandra
    Jesús Díaz M.Arias Acuña, Antonio Domingo
    Consuegra Erazo, Lucas Andrés
    Jiménez Miranda, Constanza María
    Jiménez Morales, Rosita Monserrat
    Jullian Corral, Maite Ayelen
    Muñoz Caniuqueo, Ignacio Benjamín
    Osorio Huerta, Francisca Andrea
    Plaza Spate, Cristóbal Ignacio
    Venegas Moya, Alonso Elessar
    Luis RiosBalmaceda Yankovic, Bianca
    Caballero Salazar, Amador
    Canales Llanquitrú, Carla Jacqueline
    Gaete Morgado, Paulina Andrea
    Gatica Pailacura, Carolina Paz
    Martin Gerdes, Bastián Javier
    Mena Rojas, Martín Elías
    Valencia Almendras, Isidora Paz
    Vásquez Olivares, Catalina Ignacia
    María Fernanda Núñez G.Calderón Guajardo, Elisa Amanda
    Flores Fuentes, Matías Gabriel
    Gallo Novoa, Emilia Antonia
    Lagos Zúñiga, Martina Jacinta
    Latorre González, Camila Ignacia
    Poblete Duarte, José Patricio
    Roa Neira, Carla Denisse
    Silva Díaz, Catalina Rosario
    Vargas Olivares, Andrés Ignacio
    Sophia Karoussis P.Bascuñán Soto, Marta del Carmen
    Berríos Puentes, Rocío Belén
    Ferran Villagra, Catalina Sofía
    Guerrero Tapia, Daniela Sofía
    Palma Valladares, Elisa Victoria
    Peña Gaete, Micaela Fabiana
    Robledo Dávila, Martina Elisa
    Suárez Urbina, Rocío Belén
    Vega Gandolfo, Felipe Ignacio
    Victoria Arias O.Canales Calderón, Fernanda Paz
    Carrasco Gomberoff, Benjamín Eitan
    Ibarra Domínguez, Asunción Rebeca
    Isla Hernández, Paz Magdalena
    Núñez Pérez, Joaquín Emilio
    Reyes Aqueveque, Valeria Patricia
    Rivera Sepúlveda, Sofía Belén
    Santa Cruz Claro, Amalia Magdalena
    Soto Ortega, Martina Paz
    + + +
    +
    +

    Por dudas, comentarios o cambios respecto a esta asignación escribir a Andreas Laffert (Apoyo Docente) por UCursos.

    + + + + ]]>     + info + mail-UCursos + https://correlacional.netlify.app/news/2024-08-28_asignacion_ayudantes1.html + Thu, 29 Aug 2024 04:00:00 GMT + +     + + Sesión práctica martes 27 de agosto + https://correlacional.netlify.app/news/2024-08-23_primera-practica.html + ← News + + + + +

    Algunas informaciones importantes:

    +

    -El próximo martes 27 de agosto tendremos nuestra primera sesión práctica del curso.

    +

    -En esta instancia contaremos con el equipo docente completo y ayudantes.

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    -Aquellas personas que, por diversos motivos, no puedan contar con un computador personal para las sesiones del curso, les pedimos encarecidamente que rellenen este formulario: https://forms.gle/iGVJjAWRGYh9GGpZ8 Esta información nos permitirá ir organizando el uso de computadores de la sala de computación.

    +

    -Nos dividiremos en dos grupos: una parte del curso en las salas C7 y C8 del aulario C (idealmente quienes dispongan de computador) y otra parte en la sala 345 de computación del edificio nuevo de Facso (para quienes no puedan contar con un computador).

    +

    -Dentro de la próxima semana les enviaremos un correo respecto a la asignación de ayudantes para el asesoramiento en las unidades 1 y 2 del curso.

    + + + + ]]>     + info + mail-UCursos + https://correlacional.netlify.app/news/2024-08-23_primera-practica.html + Fri, 23 Aug 2024 04:00:00 GMT + +     + + Prácticos parten próxima semana (Martes 27) + https://correlacional.netlify.app/news/2024-08-19_cambio-practico.html + ← News + + + + +

    Inicialmente en el programa estaba contemplado que esta semana el martes 20 comenzaba la primera sesión de prácticos, para lo cual debían traer sus computadores. Esto se modifica, el práctico es el próximo martes 27.

    + + + + ]]>     + info + https://correlacional.netlify.app/news/2024-08-19_cambio-practico.html + Mon, 19 Aug 2024 04:00:00 GMT + +     + + Informaciones por acá + https://correlacional.netlify.app/news/2024-08-19_inicio.html + ← News + + + + +

    Estimad_s estudiantes, acá en esta pestaña quedará registro de las informaciones y actualizaciones del curso. De todas maneras se enviará link por correo a UCursos cuando haya noticias relevantes.

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      +
    • +
    + + + + ]]>     + info + https://correlacional.netlify.app/news/2024-08-19_inicio.html + Mon, 19 Aug 2024 04:00:00 GMT + +     +     +     diff --git a/docs/projects/01-class/01-class.Rproj b/docs/projects/01-class/01-class.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/01-class/01-class.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/01-class/01_recreate_me.md b/docs/projects/01-class/01_recreate_me.md new file mode 100644 index 00000000..835c9354 --- /dev/null +++ b/docs/projects/01-class/01_recreate_me.md @@ -0,0 +1,33 @@ +--- +title: "Example paper from regular Markdown" +author: "Your name" +date: "Put the date here" +output: + pdf_document: default + word_document: default +bibliography: references.bib +csl: csl/chicago-author-date.csl +abstract: Here's an important abstract for this important paper. +--- + +It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only. + +There were a king with a large jaw and a queen with a plain face, on the throne of England; there were a king with a large jaw and a queen with a fair face, on the throne of France. In both countries it was clearer than crystal to the lords of the State preserves of loaves and fishes, that things in general were settled for ever. + +It was the year of Our Lord one thousand seven hundred and seventy-five. Spiritual revelations were conceded to England at that favoured period, as at this. Mrs. Southcott had recently attained her five-and-twentieth blessed birthday, of whom a prophetic private in the Life Guards had heralded the sublime appearance by announcing that arrangements were made for the swallowing up of London and Westminster. Even the Cock-lane ghost had been laid only a round dozen of years, after rapping out its messages, as the spirits of this very year last past (supernaturally deficient in originality) rapped out theirs. Mere messages in the earthly order of events had lately come to the English Crown and People, from a congress of British subjects in America: which, strange to relate, have proved more important to the human race than any communications yet received through any of the chickens of the Cock-lane brood. + +France, less favoured on the whole as to matters spiritual than her sister of the shield and trident, rolled with exceeding smoothness down hill, making paper money and spending it. Under the guidance of her Christian pastors, she entertained herself, besides, with such humane achievements as sentencing a youth to have his hands cut off, his tongue torn out with pincers, and his body burned alive, because he had not kneeled down in the rain to do honour to a dirty procession of monks which passed within his view, at a distance of some fifty or sixty yards. It is likely enough that, rooted in the woods of France and Norway, there were growing trees, when that sufferer was put to death, already marked by the Woodman, Fate, to come down and be sawn into boards, to make a certain movable framework with a sack and a knife in it, terrible in history. + +It is likely enough that in the rough outhouses of some tillers of the heavy lands adjacent to Paris, there were sheltered from the weather that very day: rude carts, bespattered with rustic mire, snuffed about by pigs, and roosted in by poultry, which the Farmer, Death, had already set apart to be his tumbrils of the Revolution. + +But that Woodman and that Farmer, though they work unceasingly, work silently, and no one heard them as they went about with muffled tread: the rather, forasmuch as to entertain any suspicion that they were awake, was to be atheistical and traitorous. + +In England, there was scarcely an amount of order and protection to justify much national boasting. Daring burglaries by armed men, and highway robberies, took place in the capital itself every night; families were publicly cautioned not to go out of town without removing their furniture to upholsterers’ warehouses for security; the highwayman in the dark was a City tradesman in the light, and, being recognised and challenged by his fellow-tradesman whom he stopped in his character of “the Captain,” gallantly shot him through the head and rode away; the mail was waylaid by seven robbers, and the guard shot three dead, and then got shot dead himself by the other four, “in consequence of the failure of his ammunition:” after which the mail was robbed in peace; that magnificent potentate, the Lord Mayor of London, was made to stand and deliver on Turnham Green, by one highwayman, who despoiled the illustrious creature in sight of all his retinue; prisoners in London gaols fought battles with their turnkeys, and the majesty of the law fired blunderbusses in among them, loaded with rounds of shot and ball; thieves snipped off diamond crosses from the necks of noble lords at Court drawing-rooms; musketeers went into St. Giles’s, to search for contraband goods, and the mob fired on the musketeers, and the musketeers fired on the mob, and nobody thought any of these occurrences much out of the common way. + +In the midst of them, the hangman, ever busy and ever worse than useless, was in constant requisition; now, stringing up long rows of miscellaneous criminals; now, hanging a housebreaker on Saturday who had been taken on Tuesday; now, burning people in the hand at Newgate by the dozen, and now burning pamphlets at the door of Westminster Hall; to-day, taking the life of an atrocious murderer, and to-morrow of a wretched pilferer who had robbed a farmer’s boy of sixpence. + +All these things, and a thousand like them, came to pass in and close upon the dear old year one thousand seven hundred and seventy-five. Environed by them, while the Woodman and the Farmer worked unheeded, those two of the large jaws, and those other two of the plain and the fair faces, trod with stir enough, and carried their divine rights with a high hand. Thus did the year one thousand seven hundred and seventy-five conduct their Greatnesses, and myriads of small creatures—the creatures of this chronicle among the rest—along the roads that lay before them. + +It was the Dover road that lay, on a Friday night late in November, before the first of the persons with whom this history has business. The Dover road lay, as to him, beyond the Dover mail, as it lumbered up Shooter’s Hill. He walked up hill in the mire by the side of the mail, as the rest of the passengers did; not because they had the least relish for walking exercise, under the circumstances, but because the hill, and the harness, and the mud, and the mail, were all so heavy, that the horses had three times already come to a stop, besides once drawing the coach across the road, with the mutinous intent of taking it back to Blackheath. Reins and whip and coachman and guard, however, in combination, had read that article of war which forbade a purpose otherwise strongly in favour of the argument, that some brute animals are endued with Reason; and the team had capitulated and returned to their duty. + +Two other passengers, besides the one, were plodding up the hill by the side of the mail. All three were wrapped to the cheekbones and over the ears, and wore jack-boots. Not one of the three could have said, from anything he saw, what either of the other two was like; and each was hidden under almost as many wrappers from the eyes of the mind, as from the eyes of the body, of his two companions. diff --git a/docs/projects/01-class/02_getting-started.Rmd b/docs/projects/01-class/02_getting-started.Rmd new file mode 100644 index 00000000..2cbb8f9a --- /dev/null +++ b/docs/projects/01-class/02_getting-started.Rmd @@ -0,0 +1,71 @@ +--- +title: "Getting started with R and RStudio" +output: html_document +--- + +```{r setup} +library(tidyverse) +``` + +## R Markdown + +This is an [R Markdown](http://rmarkdown.rstudio.com) file (it has a .Rmd file extension). When you execute code within the file, the results appear beneath the code. + +R code goes in **code chunks**, denoted by three backticks. Try executing this chunk by clicking the *Run* button (a small green triangle) within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter* (or *Cmd+Shift+Enter* on Mac). + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = cty, y = hwy), alpha = 0.2) +``` + +## Add a new code chunk + +Add a new code chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd/Ctrl+Option+I*. + +Put 2 + 2 in your new code chunk and run it. + +PUT A NEW CHUNK HERE + + +## Knitting R Markdown files + +We'll use R Markdown files as notebooks as we learn because we can record text, code and output. + +R Markdown files are also a publication format. Try hitting the "Knit" button in the toolbar above. R runs all the code in the document from top to bottom, it collects the output and puts the code, text and output together in an HTML document---you should see it as `01-getting-started.html` in the Files pane. This document is a great way to record or share your work (you can also Knit to PDF or Word documents). + +## Assigning variables + +What's the difference between the code in this chunk: + +```{r} +filter(mtcars, cyl == 4) +``` + +And the code in this chunk? + +```{r} +four_cyls <- filter(mtcars, cyl == 4) +``` + +## Functions + +Look at the help page for `seq` + +Add a chunk here that uses `seq()` to create a list of numbers from 5 to 100, spaced by 5 (so 5, 10, 15, 20, etc.) + +CHUNK HERE + + +## Syntax gone wrong + +```{r, error=TRUE} +sd(pull(.data = starwars, var = mass) +``` + +```{r, error=TRUE} +my_name <- "Andrew' +``` + +```{r, error=TRUE} +pull(.data = "starwars", var = height) +``` diff --git a/docs/projects/01-class/03_penguins.Rmd b/docs/projects/01-class/03_penguins.Rmd new file mode 100644 index 00000000..bff57308 --- /dev/null +++ b/docs/projects/01-class/03_penguins.Rmd @@ -0,0 +1,196 @@ +--- +title: "Penguins" +author: "Put your name here" +date: "Put the date here" +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +```{r} +library(tidyverse) +library(scales) +library(broom) + +penguins_raw <- read_csv("data/penguins.csv") +``` + +Between 2007 and 2009, researchers collected data on penguins in three islands in the Palmer Archipelago in Antarctica: Biscoe, Dream, and Torgersen. The `penguins` dataset has data for 342 penguins from 3 different species: Chinstrap, Gentoo, and Adélie. It includes the following variables: + +- `species`: The penguin's species (Chinstrap, Gentoo, and Adélie) +- `island`: The island where the penguin lives (Biscoe, Dream, and Torgersen) +- `bill_length_mm`: The length of the penguin's bill, in millimeters (distance from the penguin's face to the tip of the bill) +- `bill_depth_mm`: The depth of the penguin's bill, in millimeters (height of the bill; distance from the bottom of the bill to the top of the bill) +- `flipper_length_mm`: The length of the penguin's flippers, in millimeters +- `body_mass_g`: The weight of the penguin, in grams +- `sex`: The sex of the penguin +- `year`: The year the observation was made + +Knowing the difference between bill length and bill depth is tricky if you're not a bird expert (I'm not!), so here's a helpful diagram: + +![Penguin bill length vs. bill depth](img/culmen_depth.png) + +# Cleaning the data + +We first need to clean the data a little. Some of the observations are missing the sex of the penguin! + +```{r} +library(naniar) + +gg_miss_var(penguins_raw) +``` + +Missing data will mess up our regression models, so we remove any rows with missing sex. That also fixes the issues we had with the other missing variables, since those rows were missing the sex. + +```{r} +penguins <- penguins_raw %>% + filter(!is.na(sex)) + +gg_miss_var(penguins) +``` + +We'll save this clean data as a CSV file so we can use it in other analysis (or other files within this analysis): + +```{r} +write_csv(penguins, file = "data/penguins_clean.csv") +``` + +# Exploratory analysis + +First we'll look for any patterns in the data. Maybe specific species are heavier or have longer wings or longer or taller bills? + +## Penguin weight by species + +```{r} +ggplot(penguins, aes(x = body_mass_g, + fill = species)) + + geom_density(alpha = 0.75) + + scale_fill_viridis_d(option = "plasma") + + labs(x = "Body mass (g)", y = "Density", fill = "Species") + + theme_minimal() +``` + +```{r} +penguin_details <- penguins %>% + group_by(species) %>% + summarize(avg_weight = mean(body_mass_g), + avg_bill_depth = mean(bill_depth_mm), + avg_flipper_length = mean(flipper_length_mm)) + +gentoo_weight <- filter(penguin_details, species == "Gentoo")$avg_weight +adelie_weight <- filter(penguin_details, species == "Adelie")$avg_weight +chinstrap_weight <- filter(penguin_details, species == "Chinstrap")$avg_weight + +gentoo_bill <- filter(penguin_details, species == "Gentoo")$avg_bill_depth +adelie_bill <- filter(penguin_details, species == "Adelie")$avg_bill_depth +chinstrap_bill <- filter(penguin_details, species == "Chinstrap")$avg_bill_depth +``` + +It looks like Gentoo penguins are heavier on average than the other two species, and substantially so. Gentoo penguins weigh an average of `r comma(gentoo_weight)` grams, while Adelie and Chinstrap penguins weigh an average of `r comma(adelie_weight)` and `r comma(chinstrap_weight)`, respectively. + +## Bill depth by species + +Next we'll look at bill depth (again, this refers to the distance between the top and bottom of the bill) across species: + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, + fill = species)) + + geom_density(alpha = 0.75) + + scale_fill_viridis_d(option = "plasma") + + labs(x = "Bill depth (mm)", y = "Density", fill = "Species") + + theme_minimal() +``` + +Again, Gentoo penguins are quite distinctive and have the shortest bills. On average, Gentoo bills are `r round(gentoo_bill, 1)` millimeters deep, while Adelie and Chinstrap penguins have bills that are `r round(adelie_bill, 1)` and `r round(chinstrap_bill, 1)`, respectively. + +## Penguin location + +Are there any patterns in where these birds live? + +```{r} +ggplot(penguins, aes(x = island, y = species, color = species)) + + geom_point(position = position_jitter(seed = 1234)) + + scale_color_viridis_d(option = "plasma") + + guides(color = "none") + + labs(x = "Island", y = "Species") + + theme_minimal() +``` + +Neat! Gentoo penguins are only on Biscoe Island, Chinstrap penguins are only on Dream Island, and Adelie penguins live on all three of the islands in the dataset---and they're all alone on Torgersen Island. + + +# Regression analysis + +We've seen that Gentoo penguins are pretty distinctive and are both heavier and have shorter bill depths. What's the overall relationship between bill length and bird weight? Are Gentoos still distinctive? + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, y = body_mass_g)) + + geom_point() + + geom_smooth(method = "lm") + + labs(x = "Bill depth (mm)", y = "Body mass (g)") + + theme_minimal() +``` + +According to this plot, it looks like there's a negative relationship between bill depth and body mass---as bills get taller, penguins get lighter. We can create a regression model to see the exact relationship. We'll use this model: + +$$ +\widehat{\text{Body mass}} = \beta_0 + \beta_1 \text{Bill depth} + \epsilon +$$ + +```{r} +model1 <- lm(body_mass_g ~ bill_depth_mm, + data = penguins) + +nice_results1 <- tidy(model1) +nice_results1 +``` + +Based on this model, a 1-mm increase in bill depth is associated with a `r round(filter(nice_results1, term == "bill_depth_mm")$estimate, 1)` gram decrease in body weight, on average. + +However, that's wrong! The coefficient for $\beta_1$ is negative here, but we're not accounting for species. If we look at the original scatterplot, the trend line does go down, but if we color the points by species, we can see that the relationship is actually positive *within* species. + +```{r} +ggplot(penguins, aes(x = bill_depth_mm, y = body_mass_g, color = species)) + + geom_point() + + geom_smooth(method = "lm") + + geom_smooth(aes(color = NULL), method = "lm", color = "darkred") + + scale_color_viridis_d(option = "plasma") + + labs(x = "Bill depth (mm)", y = "Body mass (g)", color = "Species") + + theme_minimal() +``` + +The dark red line shows the trend when not considering species, while the yellow, purple, and blue lines show the within-species trends. The directions reverse! This is a great example of something called Simpson's Paradox, which [according to Wikipedia](https://en.wikipedia.org/wiki/Simpson%27s_paradox) means that + +> …a trend appears in several groups of data but disappears or reverses when the groups are combined. + +If we control for species in a new regression model, we can see the positive relationship between bill depth and body mass. Here's the new model: + +$$ +\widehat{\text{Body mass}} = \beta_0 + \beta_1 \text{Bill depth} + \beta_2 \text{Species} + \epsilon +$$ + +```{r} +model2 <- lm(body_mass_g ~ bill_depth_mm + species, + data = penguins) + +nice_results2 <- tidy(model2) +nice_results2 +``` + +It worked! After controlling for species, on average, a 1-mm increase in bill depth is associated with a `r round(filter(nice_results2, term == "bill_depth_mm")$estimate, 1)` gram *increase* in weight. Also, interestingly, the coefficients for Chinstrap and Gentoo penguins show the trends across these species' weights. Compared to Adelie penguins, Chinstrap penguins are only `r round(filter(nice_results2, term == "speciesChinstrap")$estimate, 1)` grams heavier, while Gentoo penguins are `r comma(filter(nice_results2, term == "speciesGentoo")$estimate, 1)` grams heavier than Adelie penguins, on average. + + +# Conclusion + +Therefore, Gentoo penguins are neat. They + +1. only live on Biscoe Island +2. are heavier than their Chinstrap and Adelie counterparts---they're the chonky bois of the penguin world +3. have short bills, height-wise + +Also, there seems to be a fairly strong relationship between bill depth and body weight. Within all three species, penguins with taller bills tend to be heavier. This relationship can get hidden by Simpson's Paradox if we don't look at within-species trends though. + +The end. + +![Penguins!](img/lter_penguins.png) diff --git a/docs/projects/01-class/04_visualizing-data.Rmd b/docs/projects/01-class/04_visualizing-data.Rmd new file mode 100644 index 00000000..8db58795 --- /dev/null +++ b/docs/projects/01-class/04_visualizing-data.Rmd @@ -0,0 +1,100 @@ +--- +title: "Visualizing data with ggplot" +output: html_document +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, dplyr, and friends + +mpg <- read_csv("data/mpg.csv") # Load data +``` + +## Figuring out what's in the data + +```{r} +mpg +``` + +## Basic ggplot code + +Run this code from the the slide to make a graph. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = displ, y = hwy)) +``` + +## ggplot playground + +Add `color`, `size`, `alpha`, or `shape` aesthetics to your graph. Experiment. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = displ, y = hwy)) +``` + +## Switching geoms + +Replace this scatterplot with one that draws boxplots. Use the cheatsheet. Try your best guess. + +```{r} +ggplot(data = mpg) + + geom_point(mapping = aes(x = class, y = hwy)) +``` + +## Histograms + +Make a histogram of the `hwy` variable from `mpg`. + +```{r} +ggplot(data = mpg) +``` + +## Density plots + +Make a density plot `hwy` colored by `class`. + +```{r} +ggplot(data = mpg) +``` + +## Complex plots + +Predict what this code will do. Then run it. + +```{r} +ggplot(mpg) + + geom_point(aes(displ, hwy)) + + geom_smooth(aes(displ, hwy)) +``` + +--- + +## Fancy completed plot from slides + +```{r message=FALSE} +ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) + + geom_point() + + geom_smooth(method = "lm") + + scale_color_viridis_d() + + facet_wrap(vars(drv), ncol = 1) + + labs(x = "Displacement", y = "Highway MPG", + color = "Drive", + title = "Heavier cars get lower mileage", + subtitle = "Displacement indicates weight(?)", + caption = "I know nothing about cars") + + theme_bw() + + theme(legend.position = "bottom", + plot.title = element_text(face = "bold")) +``` + +--- + +## Takeaways + +You can use this code template to any kind of graph with **ggplot2**. + +```{r eval=FALSE} +ggplot(data = ) + + (mapping = aes()) +``` diff --git a/docs/projects/01-class/05_manipulating-data.Rmd b/docs/projects/01-class/05_manipulating-data.Rmd new file mode 100644 index 00000000..7a13cf27 --- /dev/null +++ b/docs/projects/01-class/05_manipulating-data.Rmd @@ -0,0 +1,112 @@ +--- +title: "Manipulating data with dplyr" +output: html_document +--- + + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, dplyr, and friends + +gapminder <- read_csv("data/gapminder.csv") +``` + +## gapminder + +```{r} +gapminder +``` + + +## Your turn 1 + +- `filter()` selects rows based on logical tests + +The data for Canada: + +```{r} +filter(gapminder, country == "New Zealand") +``` + +All data for countries in Oceania: + +```{r} +filter(gapminder, country == "New Zealand") +``` + +Rows where the life expectancy is greater than 82: + +```{r} +filter(gapminder, country == "New Zealand") +``` + + +## Your turn 2 + +Canada before 1970: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + +Countries where life expectancy in 2007 is below 50: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + +Countries where life expectancy in 2007 is below 50, and are not in Africa: + +```{r} +filter(gapminder, country == "New Zealand", year > 2000) +``` + + +## Your turn 3 + +Write code to: + +- Add an `africa` column that is TRUE if the country is on the African continent +- Add a column for logged GDP per capita (hint: use `log()`) +- Add an `africa_asia` column that says “Africa or Asia” if the country is in Africa or Asia, and “Not Africa or Asia” if it’s not + +```{r} +mutate(gapminder) +``` + + +## Your turn 4 + +Use `summarize()` to compute four statistics about the data: + +- The first (minimum) year in the dataset +- The last (maximum) year in the dataset +- The number of rows in the dataset (use the cheatsheet) +- The number of distinct countries in the dataset (use the cheatsheet) + +```{r} +gapminder +``` + + +## Your turn 5 + +Use `filter()` and `summarize()` to calculate the (1) the number of unique countries and (2) the median life expectancy on the African continent in 2007. + +```{r} +gapminder +``` + + +## Your turn 6 + +Find the minimum, maximum, and median life expectancy for each continent. + +```{r} +gapminder +``` + +Find the minimum, maximum, and median life expectancy for each continent in 2007 only. + +```{r} +gapminder +``` diff --git a/docs/projects/01-class/answers/example.md b/docs/projects/01-class/answers/example.md new file mode 100644 index 00000000..47298885 --- /dev/null +++ b/docs/projects/01-class/answers/example.md @@ -0,0 +1,79 @@ +--- +title: "Example paper from regular Markdown" +author: "Your name" +date: "August 23, 2021" +output: + pdf_document: default + word_document: default +bibliography: references.bib +csl: csl/chicago-author-date.csl +abstract: Here's an important abstract for this important paper. +--- + +![A Tale of Two Cities](img/totc-cover.jpg) + +**It was the best of times, it was the worst of times**,[^note] it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only [@Huntington-Klein:2021]. + +[^note]: This is a super famous part. + +> There were a king with a large jaw and a queen with a plain face, on the throne of England; there were a king with a large jaw and a queen with a fair face, on the throne of France. In both countries it was clearer than crystal to the lords of the State preserves of loaves and fishes, that things in general were settled for ever. + +It was the year of Our Lord one thousand seven hundred and seventy-five. Spiritual revelations were conceded to England at that favoured period, as at this. Mrs. Southcott had recently attained her five-and-twentieth blessed birthday, of whom a prophetic private in the Life Guards had heralded the sublime appearance by announcing that arrangements were made for the swallowing up of London and Westminster. Even the Cock-lane ghost had been laid only a round dozen of years, after rapping out its messages, as the spirits of this very year last past (supernaturally deficient in originality) rapped out theirs. `Mere messages in the earthly order of events` had lately come to the English Crown and People, from a congress of British subjects in America: which, strange to relate, have proved more important to the human race than any communications yet received through any of the chickens of the Cock-lane brood. + +# Main heading + +France, *less favoured on the whole as to matters spiritual than her sister of the shield and trident*, rolled with exceeding smoothness down hill, making paper money and spending it. Under the guidance of her Christian pastors, she entertained herself, besides, with such humane achievements as sentencing a youth to have his hands cut off, his tongue torn out with pincers, and his body burned alive, because he had not kneeled down in the rain to do honour to a dirty procession of monks which passed within his view, at a distance of some fifty or sixty yards. It is likely enough that, rooted in the woods of France and Norway, there were growing trees, when that sufferer was put to death, already marked by the Woodman, Fate, to come down and be sawn into boards, to make a certain movable framework with a sack and a knife in it, terrible in history. + +It is likely enough that in the rough outhouses of some tillers of the heavy lands adjacent to Paris, there were sheltered from the weather that very day: + +- rude carts +- bespattered with rustic mire +- snuffed about by pigs, +- and roosted in by poultry, which the Farmer, Death, had already set apart to be his tumbrils of the Revolution. + +But that Woodman and that Farmer, though they work unceasingly, work silently, and no one heard them as they went about with muffled tread: the rather, forasmuch as to entertain any suspicion that they were awake, was to be atheistical and traitorous. + +## A subheading + +In England, there was scarcely an amount of order and protection to justify much national boasting [@wb-eval]. Daring burglaries by armed men, and highway robberies, took place in the capital itself every night; + +1. families were publicly cautioned not to go out of town without removing their furniture to upholsterers’ warehouses for security; +2. the highwayman in the dark was a City tradesman in the light, and, being recognised and challenged by his fellow-tradesman whom he stopped in his character of “the Captain,” gallantly shot him through the head and rode away; +3. the mail was waylaid by seven robbers, and the guard shot three dead, and then got shot dead himself by the other four, “in consequence of the failure of his ammunition:” after which the mail was robbed in peace; +4. that magnificent potentate, the Lord Mayor of London, was made to stand and deliver on Turnham Green, by one highwayman, who despoiled the illustrious creature in sight of all his retinue; +5. prisoners in London gaols fought battles with their turnkeys, and the majesty of the law fired blunderbusses in among them, loaded with rounds of shot and ball; +6. thieves snipped off diamond crosses from the necks of noble lords at Court drawing-rooms; +7. musketeers went into St. Giles’s, to search for contraband goods, and the mob fired on the musketeers, and the musketeers fired on the mob, and nobody thought any of these occurrences much out of the common way. + +In the midst of them, the hangman, ever busy and ever worse than useless, was in constant requisition; now, stringing up long rows of miscellaneous criminals; now, hanging a housebreaker on Saturday who had been taken on Tuesday; now, burning people in the hand at Newgate by the dozen, and now burning pamphlets at the door of Westminster Hall; to-day, taking the life of an atrocious murderer, and to-morrow of a wretched pilferer who had robbed a farmer’s boy of sixpence [@ChaudhryHeiss:2021] + +## Another subheading + +All these things, and a thousand like them, came to pass in and close upon the dear old year one thousand seven hundred and seventy-five. Environed by them, while the Woodman and the Farmer worked unheeded, those two of the large jaws, and those other two of the plain and the fair faces, trod with stir enough, and carried their divine rights with a high hand. Thus did the year one thousand seven hundred and seventy-five conduct their Greatnesses, and myriads of small creatures—the creatures of this chronicle among the rest—along the roads that lay before them. + +# An important heading + +It was the Dover road that lay, on a Friday night late in November, before the first of the persons with whom this history has business. The Dover road lay, as to him, beyond the Dover mail, as it lumbered up Shooter’s Hill. He walked up hill in the mire by the side of the mail, as the rest of the passengers did; not because they had the least relish for walking exercise, under the circumstances, but because the hill, and the harness, and the mud, and the mail, were all so heavy, that the horses had three times already come to a stop, besides once drawing the coach across the road, with the mutinous intent of taking it back to Blackheath. Reins and whip and coachman and guard, however, in combination, had read that article of war which forbade a purpose otherwise strongly in favour of the argument, that some brute animals are endued with Reason; and the team had capitulated and returned to their duty. + +Some math! Here's some math in the middle of a sentence, like $a^2 + b^2 = c^2$, and here's some in a standalone equation: + +$$ +y = mx + b +$$ + +A table! + +| Thing | Status | +| :---- | :----- | +| Times | Best | +| Times | Worst | +| Age | Wisdom | +| Age | Foolishness| + +Table: Things and their contradictory adjectives in *A Tale of Two Cities* + +# Conclusion + +Two other passengers, besides the one, were plodding up the hill by the side of the mail. All three were wrapped to the cheekbones and over the ears, and wore jack-boots. Not one of the three could have said, from anything he saw, what either of the other two was like; and each was hidden under almost as many wrappers from the eyes of the mind, as from the eyes of the body, of his two companions. + +# References diff --git a/docs/projects/01-class/csl/apa.csl b/docs/projects/01-class/csl/apa.csl new file mode 100644 index 00000000..4cfe07d5 --- /dev/null +++ b/docs/projects/01-class/csl/apa.csl @@ -0,0 +1,1916 @@ + + diff --git a/docs/projects/01-class/csl/chicago-author-date.csl b/docs/projects/01-class/csl/chicago-author-date.csl new file mode 100644 index 00000000..e2c157fc --- /dev/null +++ b/docs/projects/01-class/csl/chicago-author-date.csl @@ -0,0 +1,658 @@ + + diff --git a/docs/projects/01-class/csl/chicago-note-bibliography.csl b/docs/projects/01-class/csl/chicago-note-bibliography.csl new file mode 100644 index 00000000..4c7806c1 --- /dev/null +++ b/docs/projects/01-class/csl/chicago-note-bibliography.csl @@ -0,0 +1,1417 @@ + + diff --git a/docs/projects/01-class/data/gapminder.csv b/docs/projects/01-class/data/gapminder.csv new file mode 100644 index 00000000..7e643799 --- /dev/null +++ b/docs/projects/01-class/data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 +Algeria,Africa,1977,58.014,17152804,4910.416756 +Algeria,Africa,1982,61.368,20033753,5745.160213 +Algeria,Africa,1987,65.799,23254956,5681.358539 +Algeria,Africa,1992,67.744,26298373,5023.216647 +Algeria,Africa,1997,69.152,29072015,4797.295051 +Algeria,Africa,2002,70.994,31287142,5288.040382 +Algeria,Africa,2007,72.301,33333216,6223.367465 +Angola,Africa,1952,30.015,4232095,3520.610273 +Angola,Africa,1957,31.999,4561361,3827.940465 +Angola,Africa,1962,34,4826015,4269.276742 +Angola,Africa,1967,35.985,5247469,5522.776375 +Angola,Africa,1972,37.928,5894858,5473.288005 +Angola,Africa,1977,39.483,6162675,3008.647355 +Angola,Africa,1982,39.942,7016384,2756.953672 +Angola,Africa,1987,39.906,7874230,2430.208311 +Angola,Africa,1992,40.647,8735988,2627.845685 +Angola,Africa,1997,40.963,9875024,2277.140884 +Angola,Africa,2002,41.003,10866106,2773.287312 +Angola,Africa,2007,42.731,12420476,4797.231267 +Argentina,Americas,1952,62.485,17876956,5911.315053 +Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 +Australia,Oceania,1992,77.56,17481977,23424.76683 +Australia,Oceania,1997,78.83,18565243,26997.93657 +Australia,Oceania,2002,80.37,19546792,30687.75473 +Australia,Oceania,2007,81.235,20434176,34435.36744 +Austria,Europe,1952,66.8,6927772,6137.076492 +Austria,Europe,1957,67.48,6965860,8842.59803 +Austria,Europe,1962,69.54,7129864,10750.72111 +Austria,Europe,1967,70.14,7376998,12834.6024 +Austria,Europe,1972,70.63,7544201,16661.6256 +Austria,Europe,1977,72.17,7568430,19749.4223 +Austria,Europe,1982,73.18,7574613,21597.08362 +Austria,Europe,1987,74.94,7578903,23687.82607 +Austria,Europe,1992,76.04,7914969,27042.01868 +Austria,Europe,1997,77.51,8069876,29095.92066 +Austria,Europe,2002,78.98,8148312,32417.60769 +Austria,Europe,2007,79.829,8199783,36126.4927 +Bahrain,Asia,1952,50.939,120447,9867.084765 +Bahrain,Asia,1957,53.832,138655,11635.79945 +Bahrain,Asia,1962,56.923,171863,12753.27514 +Bahrain,Asia,1967,59.923,202182,14804.6727 +Bahrain,Asia,1972,63.3,230800,18268.65839 +Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 +Belgium,Europe,1957,69.24,8989111,9714.960623 +Belgium,Europe,1962,70.25,9218400,10991.20676 +Belgium,Europe,1967,70.94,9556500,13149.04119 +Belgium,Europe,1972,71.44,9709100,16672.14356 +Belgium,Europe,1977,72.8,9821800,19117.97448 +Belgium,Europe,1982,73.93,9856303,20979.84589 +Belgium,Europe,1987,75.35,9870200,22525.56308 +Belgium,Europe,1992,76.46,10045622,25575.57069 +Belgium,Europe,1997,77.53,10199787,27561.19663 +Belgium,Europe,2002,78.32,10311970,30485.88375 +Belgium,Europe,2007,79.441,10392226,33692.60508 +Benin,Africa,1952,38.223,1738315,1062.7522 +Benin,Africa,1957,40.358,1925173,959.6010805 +Benin,Africa,1962,42.618,2151895,949.4990641 +Benin,Africa,1967,44.885,2427334,1035.831411 +Benin,Africa,1972,47.014,2761407,1085.796879 +Benin,Africa,1977,49.19,3168267,1029.161251 +Benin,Africa,1982,50.904,3641603,1277.897616 +Benin,Africa,1987,52.337,4243788,1225.85601 +Benin,Africa,1992,53.919,4981671,1191.207681 +Benin,Africa,1997,54.777,6066080,1232.975292 +Benin,Africa,2002,54.406,7026113,1372.877931 +Benin,Africa,2007,56.728,8078314,1441.284873 +Bolivia,Americas,1952,40.414,2883315,2677.326347 +Bolivia,Americas,1957,41.89,3211738,2127.686326 +Bolivia,Americas,1962,43.428,3593918,2180.972546 +Bolivia,Americas,1967,45.032,4040665,2586.886053 +Bolivia,Americas,1972,46.714,4565872,2980.331339 +Bolivia,Americas,1977,50.023,5079716,3548.097832 +Bolivia,Americas,1982,53.859,5642224,3156.510452 +Bolivia,Americas,1987,57.251,6156369,2753.69149 +Bolivia,Americas,1992,59.957,6893451,2961.699694 +Bolivia,Americas,1997,62.05,7693188,3326.143191 +Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 +Botswana,Africa,1952,47.622,442308,851.2411407 +Botswana,Africa,1957,49.618,474639,918.2325349 +Botswana,Africa,1962,51.52,512764,983.6539764 +Botswana,Africa,1967,53.298,553541,1214.709294 +Botswana,Africa,1972,56.024,619351,2263.611114 +Botswana,Africa,1977,59.319,781472,3214.857818 +Botswana,Africa,1982,61.484,970347,4551.14215 +Botswana,Africa,1987,63.622,1151184,6205.88385 +Botswana,Africa,1992,62.745,1342614,7954.111645 +Botswana,Africa,1997,52.556,1536536,8647.142313 +Botswana,Africa,2002,46.634,1630347,11003.60508 +Botswana,Africa,2007,50.728,1639131,12569.85177 +Brazil,Americas,1952,50.917,56602560,2108.944355 +Brazil,Americas,1957,53.285,65551171,2487.365989 +Brazil,Americas,1962,55.665,76039390,3336.585802 +Brazil,Americas,1967,57.632,88049823,3429.864357 +Brazil,Americas,1972,59.504,100840058,4985.711467 +Brazil,Americas,1977,61.489,114313951,6660.118654 +Brazil,Americas,1982,63.336,128962939,7030.835878 +Brazil,Americas,1987,65.205,142938076,7807.095818 +Brazil,Americas,1992,67.057,155975974,6950.283021 +Brazil,Americas,1997,69.388,168546719,7957.980824 +Brazil,Americas,2002,71.006,179914212,8131.212843 +Brazil,Americas,2007,72.39,190010647,9065.800825 +Bulgaria,Europe,1952,59.6,7274900,2444.286648 +Bulgaria,Europe,1957,66.61,7651254,3008.670727 +Bulgaria,Europe,1962,69.51,8012946,4254.337839 +Bulgaria,Europe,1967,70.42,8310226,5577.0028 +Bulgaria,Europe,1972,70.9,8576200,6597.494398 +Bulgaria,Europe,1977,70.81,8797022,7612.240438 +Bulgaria,Europe,1982,71.08,8892098,8224.191647 +Bulgaria,Europe,1987,71.34,8971958,8239.854824 +Bulgaria,Europe,1992,71.19,8658506,6302.623438 +Bulgaria,Europe,1997,70.32,8066057,5970.38876 +Bulgaria,Europe,2002,72.14,7661799,7696.777725 +Bulgaria,Europe,2007,73.005,7322858,10680.79282 +Burkina Faso,Africa,1952,31.975,4469979,543.2552413 +Burkina Faso,Africa,1957,34.906,4713416,617.1834648 +Burkina Faso,Africa,1962,37.814,4919632,722.5120206 +Burkina Faso,Africa,1967,40.697,5127935,794.8265597 +Burkina Faso,Africa,1972,43.591,5433886,854.7359763 +Burkina Faso,Africa,1977,46.137,5889574,743.3870368 +Burkina Faso,Africa,1982,48.122,6634596,807.1985855 +Burkina Faso,Africa,1987,49.557,7586551,912.0631417 +Burkina Faso,Africa,1992,50.26,8878303,931.7527731 +Burkina Faso,Africa,1997,50.324,10352843,946.2949618 +Burkina Faso,Africa,2002,50.65,12251209,1037.645221 +Burkina Faso,Africa,2007,52.295,14326203,1217.032994 +Burundi,Africa,1952,39.031,2445618,339.2964587 +Burundi,Africa,1957,40.533,2667518,379.5646281 +Burundi,Africa,1962,42.045,2961915,355.2032273 +Burundi,Africa,1967,43.548,3330989,412.9775136 +Burundi,Africa,1972,44.057,3529983,464.0995039 +Burundi,Africa,1977,45.91,3834415,556.1032651 +Burundi,Africa,1982,47.471,4580410,559.603231 +Burundi,Africa,1987,48.211,5126023,621.8188189 +Burundi,Africa,1992,44.736,5809236,631.6998778 +Burundi,Africa,1997,45.326,6121610,463.1151478 +Burundi,Africa,2002,47.36,7021078,446.4035126 +Burundi,Africa,2007,49.58,8390505,430.0706916 +Cambodia,Asia,1952,39.417,4693836,368.4692856 +Cambodia,Asia,1957,41.366,5322536,434.0383364 +Cambodia,Asia,1962,43.415,6083619,496.9136476 +Cambodia,Asia,1967,45.415,6960067,523.4323142 +Cambodia,Asia,1972,40.317,7450606,421.6240257 +Cambodia,Asia,1977,31.22,6978607,524.9721832 +Cambodia,Asia,1982,50.957,7272485,624.4754784 +Cambodia,Asia,1987,53.914,8371791,683.8955732 +Cambodia,Asia,1992,55.803,10150094,682.3031755 +Cambodia,Asia,1997,56.534,11782962,734.28517 +Cambodia,Asia,2002,56.752,12926707,896.2260153 +Cambodia,Asia,2007,59.723,14131858,1713.778686 +Cameroon,Africa,1952,38.523,5009067,1172.667655 +Cameroon,Africa,1957,40.428,5359923,1313.048099 +Cameroon,Africa,1962,42.643,5793633,1399.607441 +Cameroon,Africa,1967,44.799,6335506,1508.453148 +Cameroon,Africa,1972,47.049,7021028,1684.146528 +Cameroon,Africa,1977,49.355,7959865,1783.432873 +Cameroon,Africa,1982,52.961,9250831,2367.983282 +Cameroon,Africa,1987,54.985,10780667,2602.664206 +Cameroon,Africa,1992,54.314,12467171,1793.163278 +Cameroon,Africa,1997,52.199,14195809,1694.337469 +Cameroon,Africa,2002,49.856,15929988,1934.011449 +Cameroon,Africa,2007,50.43,17696293,2042.09524 +Canada,Americas,1952,68.75,14785584,11367.16112 +Canada,Americas,1957,69.96,17010154,12489.95006 +Canada,Americas,1962,71.3,18985849,13462.48555 +Canada,Americas,1967,72.13,20819767,16076.58803 +Canada,Americas,1972,72.88,22284500,18970.57086 +Canada,Americas,1977,74.21,23796400,22090.88306 +Canada,Americas,1982,75.76,25201900,22898.79214 +Canada,Americas,1987,76.86,26549700,26626.51503 +Canada,Americas,1992,77.95,28523502,26342.88426 +Canada,Americas,1997,78.61,30305843,28954.92589 +Canada,Americas,2002,79.77,31902268,33328.96507 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+Chad,Africa,1967,43.601,3495967,1196.810565 +Chad,Africa,1972,45.569,3899068,1104.103987 +Chad,Africa,1977,47.383,4388260,1133.98495 +Chad,Africa,1982,49.517,4875118,797.9081006 +Chad,Africa,1987,51.051,5498955,952.386129 +Chad,Africa,1992,51.724,6429417,1058.0643 +Chad,Africa,1997,51.573,7562011,1004.961353 +Chad,Africa,2002,50.525,8835739,1156.18186 +Chad,Africa,2007,50.651,10238807,1704.063724 +Chile,Americas,1952,54.745,6377619,3939.978789 +Chile,Americas,1957,56.074,7048426,4315.622723 +Chile,Americas,1962,57.924,7961258,4519.094331 +Chile,Americas,1967,60.523,8858908,5106.654313 +Chile,Americas,1972,63.441,9717524,5494.024437 +Chile,Americas,1977,67.052,10599793,4756.763836 +Chile,Americas,1982,70.565,11487112,5095.665738 +Chile,Americas,1987,72.492,12463354,5547.063754 +Chile,Americas,1992,74.126,13572994,7596.125964 +Chile,Americas,1997,75.816,14599929,10118.05318 +Chile,Americas,2002,77.86,15497046,10778.78385 +Chile,Americas,2007,78.553,16284741,13171.63885 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Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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+Denmark,Europe,1967,72.96,4838800,15937.21123 +Denmark,Europe,1972,73.47,4991596,18866.20721 +Denmark,Europe,1977,74.69,5088419,20422.9015 +Denmark,Europe,1982,74.63,5117810,21688.04048 +Denmark,Europe,1987,74.8,5127024,25116.17581 +Denmark,Europe,1992,75.33,5171393,26406.73985 +Denmark,Europe,1997,76.11,5283663,29804.34567 +Denmark,Europe,2002,77.18,5374693,32166.50006 +Denmark,Europe,2007,78.332,5468120,35278.41874 +Djibouti,Africa,1952,34.812,63149,2669.529475 +Djibouti,Africa,1957,37.328,71851,2864.969076 +Djibouti,Africa,1962,39.693,89898,3020.989263 +Djibouti,Africa,1967,42.074,127617,3020.050513 +Djibouti,Africa,1972,44.366,178848,3694.212352 +Djibouti,Africa,1977,46.519,228694,3081.761022 +Djibouti,Africa,1982,48.812,305991,2879.468067 +Djibouti,Africa,1987,50.04,311025,2880.102568 +Djibouti,Africa,1992,51.604,384156,2377.156192 +Djibouti,Africa,1997,53.157,417908,1895.016984 +Djibouti,Africa,2002,53.373,447416,1908.260867 +Djibouti,Africa,2007,54.791,496374,2082.481567 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Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 +Ethiopia,Africa,1967,42.115,27860297,516.1186438 +Ethiopia,Africa,1972,43.515,30770372,566.2439442 +Ethiopia,Africa,1977,44.51,34617799,556.8083834 +Ethiopia,Africa,1982,44.916,38111756,577.8607471 +Ethiopia,Africa,1987,46.684,42999530,573.7413142 +Ethiopia,Africa,1992,48.091,52088559,421.3534653 +Ethiopia,Africa,1997,49.402,59861301,515.8894013 +Ethiopia,Africa,2002,50.725,67946797,530.0535319 +Ethiopia,Africa,2007,52.947,76511887,690.8055759 +Finland,Europe,1952,66.55,4090500,6424.519071 +Finland,Europe,1957,67.49,4324000,7545.415386 +Finland,Europe,1962,68.75,4491443,9371.842561 +Finland,Europe,1967,69.83,4605744,10921.63626 +Finland,Europe,1972,70.87,4639657,14358.8759 +Finland,Europe,1977,72.52,4738902,15605.42283 +Finland,Europe,1982,74.55,4826933,18533.15761 +Finland,Europe,1987,74.83,4931729,21141.01223 +Finland,Europe,1992,75.7,5041039,20647.16499 +Finland,Europe,1997,77.13,5134406,23723.9502 +Finland,Europe,2002,78.37,5193039,28204.59057 +Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 +Germany,Europe,1977,72.5,78160773,20512.92123 +Germany,Europe,1982,73.8,78335266,22031.53274 +Germany,Europe,1987,74.847,77718298,24639.18566 +Germany,Europe,1992,76.07,80597764,26505.30317 +Germany,Europe,1997,77.34,82011073,27788.88416 +Germany,Europe,2002,78.67,82350671,30035.80198 +Germany,Europe,2007,79.406,82400996,32170.37442 +Ghana,Africa,1952,43.149,5581001,911.2989371 +Ghana,Africa,1957,44.779,6391288,1043.561537 +Ghana,Africa,1962,46.452,7355248,1190.041118 +Ghana,Africa,1967,48.072,8490213,1125.69716 +Ghana,Africa,1972,49.875,9354120,1178.223708 +Ghana,Africa,1977,51.756,10538093,993.2239571 +Ghana,Africa,1982,53.744,11400338,876.032569 +Ghana,Africa,1987,55.729,14168101,847.0061135 +Ghana,Africa,1992,57.501,16278738,925.060154 +Ghana,Africa,1997,58.556,18418288,1005.245812 +Ghana,Africa,2002,58.453,20550751,1111.984578 +Ghana,Africa,2007,60.022,22873338,1327.60891 +Greece,Europe,1952,65.86,7733250,3530.690067 +Greece,Europe,1957,67.86,8096218,4916.299889 +Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 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+Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 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+Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 +Kenya,Africa,1957,44.686,7454779,944.4383152 +Kenya,Africa,1962,47.949,8678557,896.9663732 +Kenya,Africa,1967,50.654,10191512,1056.736457 +Kenya,Africa,1972,53.559,12044785,1222.359968 +Kenya,Africa,1977,56.155,14500404,1267.613204 +Kenya,Africa,1982,58.766,17661452,1348.225791 +Kenya,Africa,1987,59.339,21198082,1361.936856 +Kenya,Africa,1992,59.285,25020539,1341.921721 +Kenya,Africa,1997,54.407,28263827,1360.485021 +Kenya,Africa,2002,50.992,31386842,1287.514732 +Kenya,Africa,2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 +Lesotho,Africa,1972,49.767,1116779,496.5815922 +Lesotho,Africa,1977,52.208,1251524,745.3695408 +Lesotho,Africa,1982,55.078,1411807,797.2631074 +Lesotho,Africa,1987,57.18,1599200,773.9932141 +Lesotho,Africa,1992,59.685,1803195,977.4862725 +Lesotho,Africa,1997,55.558,1982823,1186.147994 +Lesotho,Africa,2002,44.593,2046772,1275.184575 +Lesotho,Africa,2007,42.592,2012649,1569.331442 +Liberia,Africa,1952,38.48,863308,575.5729961 +Liberia,Africa,1957,39.486,975950,620.9699901 +Liberia,Africa,1962,40.502,1112796,634.1951625 +Liberia,Africa,1967,41.536,1279406,713.6036483 +Liberia,Africa,1972,42.614,1482628,803.0054535 +Liberia,Africa,1977,43.764,1703617,640.3224383 +Liberia,Africa,1982,44.852,1956875,572.1995694 +Liberia,Africa,1987,46.027,2269414,506.1138573 +Liberia,Africa,1992,40.802,1912974,636.6229191 +Liberia,Africa,1997,42.221,2200725,609.17395079999994 +Liberia,Africa,2002,43.753,2814651,531.4823679 +Liberia,Africa,2007,45.678,3193942,414.5073415 +Libya,Africa,1952,42.723,1019729,2387.54806 +Libya,Africa,1957,45.289,1201578,3448.284395 +Libya,Africa,1962,47.808,1441863,6757.030816 +Libya,Africa,1967,50.227,1759224,18772.75169 +Libya,Africa,1972,52.773,2183877,21011.49721 +Libya,Africa,1977,57.442,2721783,21951.21176 +Libya,Africa,1982,62.155,3344074,17364.27538 +Libya,Africa,1987,66.234,3799845,11770.5898 +Libya,Africa,1992,68.755,4364501,9640.138501 +Libya,Africa,1997,71.555,4759670,9467.446056 +Libya,Africa,2002,72.737,5368585,9534.677467 +Libya,Africa,2007,73.952,6036914,12057.49928 +Madagascar,Africa,1952,36.681,4762912,1443.011715 +Madagascar,Africa,1957,38.865,5181679,1589.20275 +Madagascar,Africa,1962,40.848,5703324,1643.38711 +Madagascar,Africa,1967,42.881,6334556,1634.047282 +Madagascar,Africa,1972,44.851,7082430,1748.562982 +Madagascar,Africa,1977,46.881,8007166,1544.228586 +Madagascar,Africa,1982,48.969,9171477,1302.878658 +Madagascar,Africa,1987,49.35,10568642,1155.441948 +Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 +Mauritius,Africa,1997,70.736,1149818,7425.705295 +Mauritius,Africa,2002,71.954,1200206,9021.815894 +Mauritius,Africa,2007,72.801,1250882,10956.99112 +Mexico,Americas,1952,50.789,30144317,3478.125529 +Mexico,Americas,1957,55.19,35015548,4131.546641 +Mexico,Americas,1962,58.299,41121485,4581.609385 +Mexico,Americas,1967,60.11,47995559,5754.733883 +Mexico,Americas,1972,62.361,55984294,6809.40669 +Mexico,Americas,1977,65.032,63759976,7674.929108 +Mexico,Americas,1982,67.405,71640904,9611.147541 +Mexico,Americas,1987,69.498,80122492,8688.156003 +Mexico,Americas,1992,71.455,88111030,9472.384295 +Mexico,Americas,1997,73.67,95895146,9767.29753 +Mexico,Americas,2002,74.902,102479927,10742.44053 +Mexico,Americas,2007,76.195,108700891,11977.57496 +Mongolia,Asia,1952,42.244,800663,786.5668575 +Mongolia,Asia,1957,45.248,882134,912.6626085 +Mongolia,Asia,1962,48.251,1010280,1056.353958 +Mongolia,Asia,1967,51.253,1149500,1226.04113 +Mongolia,Asia,1972,53.754,1320500,1421.741975 +Mongolia,Asia,1977,55.491,1528000,1647.511665 +Mongolia,Asia,1982,57.489,1756032,2000.603139 +Mongolia,Asia,1987,60.222,2015133,2338.008304 +Mongolia,Asia,1992,61.271,2312802,1785.402016 +Mongolia,Asia,1997,63.625,2494803,1902.2521 +Mongolia,Asia,2002,65.033,2674234,2140.739323 +Mongolia,Asia,2007,66.803,2874127,3095.772271 +Montenegro,Europe,1952,59.164,413834,2647.585601 +Montenegro,Europe,1957,61.448,442829,3682.259903 +Montenegro,Europe,1962,63.728,474528,4649.593785 +Montenegro,Europe,1967,67.178,501035,5907.850937 +Montenegro,Europe,1972,70.636,527678,7778.414017 +Montenegro,Europe,1977,73.066,560073,9595.929905 +Montenegro,Europe,1982,74.101,562548,11222.58762 +Montenegro,Europe,1987,74.865,569473,11732.51017 +Montenegro,Europe,1992,75.435,621621,7003.339037 +Montenegro,Europe,1997,75.445,692651,6465.613349 +Montenegro,Europe,2002,73.981,720230,6557.194282 +Montenegro,Europe,2007,74.543,684736,9253.896111 +Morocco,Africa,1952,42.873,9939217,1688.20357 +Morocco,Africa,1957,45.423,11406350,1642.002314 +Morocco,Africa,1962,47.924,13056604,1566.353493 +Morocco,Africa,1967,50.335,14770296,1711.04477 +Morocco,Africa,1972,52.862,16660670,1930.194975 +Morocco,Africa,1977,55.73,18396941,2370.619976 +Morocco,Africa,1982,59.65,20198730,2702.620356 +Morocco,Africa,1987,62.677,22987397,2755.046991 +Morocco,Africa,1992,65.393,25798239,2948.047252 +Morocco,Africa,1997,67.66,28529501,2982.101858 +Morocco,Africa,2002,69.615,31167783,3258.495584 +Morocco,Africa,2007,71.164,33757175,3820.17523 +Mozambique,Africa,1952,31.286,6446316,468.5260381 +Mozambique,Africa,1957,33.779,7038035,495.5868333 +Mozambique,Africa,1962,36.161,7788944,556.6863539 +Mozambique,Africa,1967,38.113,8680909,566.6691539 +Mozambique,Africa,1972,40.328,9809596,724.9178037 +Mozambique,Africa,1977,42.495,11127868,502.3197334 +Mozambique,Africa,1982,42.795,12587223,462.2114149 +Mozambique,Africa,1987,42.861,12891952,389.8761846 +Mozambique,Africa,1992,44.284,13160731,410.8968239 +Mozambique,Africa,1997,46.344,16603334,472.3460771 +Mozambique,Africa,2002,44.026,18473780,633.6179466 +Mozambique,Africa,2007,42.082,19951656,823.6856205 +Myanmar,Asia,1952,36.319,20092996,331 +Myanmar,Asia,1957,41.905,21731844,350 +Myanmar,Asia,1962,45.108,23634436,388 +Myanmar,Asia,1967,49.379,25870271,349 +Myanmar,Asia,1972,53.07,28466390,357 +Myanmar,Asia,1977,56.059,31528087,371 +Myanmar,Asia,1982,58.056,34680442,424 +Myanmar,Asia,1987,58.339,38028578,385 +Myanmar,Asia,1992,59.32,40546538,347 +Myanmar,Asia,1997,60.328,43247867,415 +Myanmar,Asia,2002,59.908,45598081,611 +Myanmar,Asia,2007,62.069,47761980,944 +Namibia,Africa,1952,41.725,485831,2423.780443 +Namibia,Africa,1957,45.226,548080,2621.448058 +Namibia,Africa,1962,48.386,621392,3173.215595 +Namibia,Africa,1967,51.159,706640,3793.694753 +Namibia,Africa,1972,53.867,821782,3746.080948 +Namibia,Africa,1977,56.437,977026,3876.485958 +Namibia,Africa,1982,58.968,1099010,4191.100511 +Namibia,Africa,1987,60.835,1278184,3693.731337 +Namibia,Africa,1992,61.999,1554253,3804.537999 +Namibia,Africa,1997,58.909,1774766,3899.52426 +Namibia,Africa,2002,51.479,1972153,4072.324751 +Namibia,Africa,2007,52.906,2055080,4811.060429 +Nepal,Asia,1952,36.157,9182536,545.8657229 +Nepal,Asia,1957,37.686,9682338,597.9363558 +Nepal,Asia,1962,39.393,10332057,652.3968593 +Nepal,Asia,1967,41.472,11261690,676.4422254 +Nepal,Asia,1972,43.971,12412593,674.7881296 +Nepal,Asia,1977,46.748,13933198,694.1124398 +Nepal,Asia,1982,49.594,15796314,718.3730947 +Nepal,Asia,1987,52.537,17917180,775.6324501 +Nepal,Asia,1992,55.727,20326209,897.7403604 +Nepal,Asia,1997,59.426,23001113,1010.892138 +Nepal,Asia,2002,61.34,25873917,1057.206311 +Nepal,Asia,2007,63.785,28901790,1091.359778 +Netherlands,Europe,1952,72.13,10381988,8941.571858 +Netherlands,Europe,1957,72.99,11026383,11276.19344 +Netherlands,Europe,1962,73.23,11805689,12790.84956 +Netherlands,Europe,1967,73.82,12596822,15363.25136 +Netherlands,Europe,1972,73.75,13329874,18794.74567 +Netherlands,Europe,1977,75.24,13852989,21209.0592 +Netherlands,Europe,1982,76.05,14310401,21399.46046 +Netherlands,Europe,1987,76.83,14665278,23651.32361 +Netherlands,Europe,1992,77.42,15174244,26790.94961 +Netherlands,Europe,1997,78.03,15604464,30246.13063 +Netherlands,Europe,2002,78.53,16122830,33724.75778 +Netherlands,Europe,2007,79.762,16570613,36797.93332 +New Zealand,Oceania,1952,69.39,1994794,10556.57566 +New Zealand,Oceania,1957,70.26,2229407,12247.39532 +New Zealand,Oceania,1962,71.24,2488550,13175.678 +New Zealand,Oceania,1967,71.52,2728150,14463.91893 +New Zealand,Oceania,1972,71.89,2929100,16046.03728 +New Zealand,Oceania,1977,72.22,3164900,16233.7177 +New Zealand,Oceania,1982,73.84,3210650,17632.4104 +New Zealand,Oceania,1987,74.32,3317166,19007.19129 +New Zealand,Oceania,1992,76.33,3437674,18363.32494 +New Zealand,Oceania,1997,77.55,3676187,21050.41377 +New Zealand,Oceania,2002,79.11,3908037,23189.80135 +New Zealand,Oceania,2007,80.204,4115771,25185.00911 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+Niger,Africa,1992,47.391,8392818,581.182725 +Niger,Africa,1997,51.313,9666252,580.3052092 +Niger,Africa,2002,54.496,11140655,601.0745012 +Niger,Africa,2007,56.867,12894865,619.6768924 +Nigeria,Africa,1952,36.324,33119096,1077.281856 +Nigeria,Africa,1957,37.802,37173340,1100.592563 +Nigeria,Africa,1962,39.36,41871351,1150.927478 +Nigeria,Africa,1967,41.04,47287752,1014.514104 +Nigeria,Africa,1972,42.821,53740085,1698.388838 +Nigeria,Africa,1977,44.514,62209173,1981.951806 +Nigeria,Africa,1982,45.826,73039376,1576.97375 +Nigeria,Africa,1987,46.886,81551520,1385.029563 +Nigeria,Africa,1992,47.472,93364244,1619.848217 +Nigeria,Africa,1997,47.464,106207839,1624.941275 +Nigeria,Africa,2002,46.608,119901274,1615.286395 +Nigeria,Africa,2007,46.859,135031164,2013.977305 +Norway,Europe,1952,72.67,3327728,10095.42172 +Norway,Europe,1957,73.44,3491938,11653.97304 +Norway,Europe,1962,73.47,3638919,13450.40151 +Norway,Europe,1967,74.08,3786019,16361.87647 +Norway,Europe,1972,74.34,3933004,18965.05551 +Norway,Europe,1977,75.37,4043205,23311.34939 +Norway,Europe,1982,75.97,4114787,26298.63531 +Norway,Europe,1987,75.89,4186147,31540.9748 +Norway,Europe,1992,77.32,4286357,33965.66115 +Norway,Europe,1997,78.32,4405672,41283.16433 +Norway,Europe,2002,79.05,4535591,44683.97525 +Norway,Europe,2007,80.196,4627926,49357.19017 +Oman,Asia,1952,37.578,507833,1828.230307 +Oman,Asia,1957,40.08,561977,2242.746551 +Oman,Asia,1962,43.165,628164,2924.638113 +Oman,Asia,1967,46.988,714775,4720.942687 +Oman,Asia,1972,52.143,829050,10618.03855 +Oman,Asia,1977,57.367,1004533,11848.34392 +Oman,Asia,1982,62.728,1301048,12954.79101 +Oman,Asia,1987,67.734,1593882,18115.22313 +Oman,Asia,1992,71.197,1915208,18616.70691 +Oman,Asia,1997,72.499,2283635,19702.05581 +Oman,Asia,2002,74.193,2713462,19774.83687 +Oman,Asia,2007,75.64,3204897,22316.19287 +Pakistan,Asia,1952,43.436,41346560,684.5971438 +Pakistan,Asia,1957,45.557,46679944,747.0835292 +Pakistan,Asia,1962,47.67,53100671,803.3427418 +Pakistan,Asia,1967,49.8,60641899,942.4082588 +Pakistan,Asia,1972,51.929,69325921,1049.938981 +Pakistan,Asia,1977,54.043,78152686,1175.921193 +Pakistan,Asia,1982,56.158,91462088,1443.429832 +Pakistan,Asia,1987,58.245,105186881,1704.686583 +Pakistan,Asia,1992,60.838,120065004,1971.829464 +Pakistan,Asia,1997,61.818,135564834,2049.350521 +Pakistan,Asia,2002,63.61,153403524,2092.712441 +Pakistan,Asia,2007,65.483,169270617,2605.94758 +Panama,Americas,1952,55.191,940080,2480.380334 +Panama,Americas,1957,59.201,1063506,2961.800905 +Panama,Americas,1962,61.817,1215725,3536.540301 +Panama,Americas,1967,64.071,1405486,4421.009084 +Panama,Americas,1972,66.216,1616384,5364.249663 +Panama,Americas,1977,68.681,1839782,5351.912144 +Panama,Americas,1982,70.472,2036305,7009.601598 +Panama,Americas,1987,71.523,2253639,7034.779161 +Panama,Americas,1992,72.462,2484997,6618.74305 +Panama,Americas,1997,73.738,2734531,7113.692252 +Panama,Americas,2002,74.712,2990875,7356.031934 +Panama,Americas,2007,75.537,3242173,9809.185636 +Paraguay,Americas,1952,62.649,1555876,1952.308701 +Paraguay,Americas,1957,63.196,1770902,2046.154706 +Paraguay,Americas,1962,64.361,2009813,2148.027146 +Paraguay,Americas,1967,64.951,2287985,2299.376311 +Paraguay,Americas,1972,65.815,2614104,2523.337977 +Paraguay,Americas,1977,66.353,2984494,3248.373311 +Paraguay,Americas,1982,66.874,3366439,4258.503604 +Paraguay,Americas,1987,67.378,3886512,3998.875695 +Paraguay,Americas,1992,68.225,4483945,4196.411078 +Paraguay,Americas,1997,69.4,5154123,4247.400261 +Paraguay,Americas,2002,70.755,5884491,3783.674243 +Paraguay,Americas,2007,71.752,6667147,4172.838464 +Peru,Americas,1952,43.902,8025700,3758.523437 +Peru,Americas,1957,46.263,9146100,4245.256698 +Peru,Americas,1962,49.096,10516500,4957.037982 +Peru,Americas,1967,51.445,12132200,5788.09333 +Peru,Americas,1972,55.448,13954700,5937.827283 +Peru,Americas,1977,58.447,15990099,6281.290855 +Peru,Americas,1982,61.406,18125129,6434.501797 +Peru,Americas,1987,64.134,20195924,6360.9434440000005 +Peru,Americas,1992,66.458,22430449,4446.380924 +Peru,Americas,1997,68.386,24748122,5838.347657 +Peru,Americas,2002,69.906,26769436,5909.020073 +Peru,Americas,2007,71.421,28674757,7408.905561 +Philippines,Asia,1952,47.752,22438691,1272.880995 +Philippines,Asia,1957,51.334,26072194,1547.944844 +Philippines,Asia,1962,54.757,30325264,1649.552153 +Philippines,Asia,1967,56.393,35356600,1814.12743 +Philippines,Asia,1972,58.065,40850141,1989.37407 +Philippines,Asia,1977,60.06,46850962,2373.204287 +Philippines,Asia,1982,62.082,53456774,2603.273765 +Philippines,Asia,1987,64.151,60017788,2189.634995 +Philippines,Asia,1992,66.458,67185766,2279.324017 +Philippines,Asia,1997,68.564,75012988,2536.534925 +Philippines,Asia,2002,70.303,82995088,2650.921068 +Philippines,Asia,2007,71.688,91077287,3190.481016 +Poland,Europe,1952,61.31,25730551,4029.329699 +Poland,Europe,1957,65.77,28235346,4734.253019 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+Portugal,Europe,2007,78.098,10642836,20509.64777 +Puerto Rico,Americas,1952,64.28,2227000,3081.959785 +Puerto Rico,Americas,1957,68.54,2260000,3907.156189 +Puerto Rico,Americas,1962,69.62,2448046,5108.34463 +Puerto Rico,Americas,1967,71.1,2648961,6929.277714 +Puerto Rico,Americas,1972,72.16,2847132,9123.041742 +Puerto Rico,Americas,1977,73.44,3080828,9770.524921 +Puerto Rico,Americas,1982,73.75,3279001,10330.98915 +Puerto Rico,Americas,1987,74.63,3444468,12281.34191 +Puerto Rico,Americas,1992,73.911,3585176,14641.58711 +Puerto Rico,Americas,1997,74.917,3759430,16999.4333 +Puerto Rico,Americas,2002,77.778,3859606,18855.60618 +Puerto Rico,Americas,2007,78.746,3942491,19328.70901 +Reunion,Africa,1952,52.724,257700,2718.885295 +Reunion,Africa,1957,55.09,308700,2769.451844 +Reunion,Africa,1962,57.666,358900,3173.72334 +Reunion,Africa,1967,60.542,414024,4021.175739 +Reunion,Africa,1972,64.274,461633,5047.658563 +Reunion,Africa,1977,67.064,492095,4319.804067 +Reunion,Africa,1982,69.885,517810,5267.219353 +Reunion,Africa,1987,71.913,562035,5303.377488 +Reunion,Africa,1992,73.615,622191,6101.255823 +Reunion,Africa,1997,74.772,684810,6071.941411 +Reunion,Africa,2002,75.744,743981,6316.1652 +Reunion,Africa,2007,76.442,798094,7670.122558 +Romania,Europe,1952,61.05,16630000,3144.613186 +Romania,Europe,1957,64.1,17829327,3943.370225 +Romania,Europe,1962,66.8,18680721,4734.997586 +Romania,Europe,1967,66.8,19284814,6470.866545 +Romania,Europe,1972,69.21,20662648,8011.414402 +Romania,Europe,1977,69.46,21658597,9356.39724 +Romania,Europe,1982,69.66,22356726,9605.314053 +Romania,Europe,1987,69.53,22686371,9696.273295 +Romania,Europe,1992,69.36,22797027,6598.409903 +Romania,Europe,1997,69.72,22562458,7346.547557 +Romania,Europe,2002,71.322,22404337,7885.360081 +Romania,Europe,2007,72.476,22276056,10808.47561 +Rwanda,Africa,1952,40,2534927,493.3238752 +Rwanda,Africa,1957,41.5,2822082,540.2893983 +Rwanda,Africa,1962,43,3051242,597.4730727 +Rwanda,Africa,1967,44.1,3451079,510.9637142 +Rwanda,Africa,1972,44.6,3992121,590.5806638 +Rwanda,Africa,1977,45,4657072,670.0806011 +Rwanda,Africa,1982,46.218,5507565,881.5706467 +Rwanda,Africa,1987,44.02,6349365,847.991217 +Rwanda,Africa,1992,23.599,7290203,737.0685949 +Rwanda,Africa,1997,36.087,7212583,589.9445051 +Rwanda,Africa,2002,43.413,7852401,785.6537648 +Rwanda,Africa,2007,46.242,8860588,863.0884639 +Sao Tome and Principe,Africa,1952,46.471,60011,879.5835855 +Sao Tome and Principe,Africa,1957,48.945,61325,860.7369026 +Sao Tome and Principe,Africa,1962,51.893,65345,1071.551119 +Sao Tome and Principe,Africa,1967,54.425,70787,1384.840593 +Sao Tome and Principe,Africa,1972,56.48,76595,1532.985254 +Sao Tome and Principe,Africa,1977,58.55,86796,1737.561657 +Sao Tome and Principe,Africa,1982,60.351,98593,1890.218117 +Sao Tome and Principe,Africa,1987,61.728,110812,1516.525457 +Sao Tome and Principe,Africa,1992,62.742,125911,1428.777814 +Sao Tome and Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 +Senegal,Africa,1972,45.815,4588696,1597.712056 +Senegal,Africa,1977,48.879,5260855,1561.769116 +Senegal,Africa,1982,52.379,6147783,1518.479984 +Senegal,Africa,1987,55.769,7171347,1441.72072 +Senegal,Africa,1992,58.196,8307920,1367.899369 +Senegal,Africa,1997,60.187,9535314,1392.368347 +Senegal,Africa,2002,61.6,10870037,1519.635262 +Senegal,Africa,2007,63.062,12267493,1712.472136 +Serbia,Europe,1952,57.996,6860147,3581.459448 +Serbia,Europe,1957,61.685,7271135,4981.090891 +Serbia,Europe,1962,64.531,7616060,6289.629157 +Serbia,Europe,1967,66.914,7971222,7991.707066 +Serbia,Europe,1972,68.7,8313288,10522.06749 +Serbia,Europe,1977,70.3,8686367,12980.66956 +Serbia,Europe,1982,70.162,9032824,15181.0927 +Serbia,Europe,1987,71.218,9230783,15870.87851 +Serbia,Europe,1992,71.659,9826397,9325.068238 +Serbia,Europe,1997,72.232,10336594,7914.320304 +Serbia,Europe,2002,73.213,10111559,7236.075251 +Serbia,Europe,2007,74.002,10150265,9786.534714 +Sierra Leone,Africa,1952,30.331,2143249,879.7877358 +Sierra Leone,Africa,1957,31.57,2295678,1004.484437 +Sierra Leone,Africa,1962,32.767,2467895,1116.639877 +Sierra Leone,Africa,1967,34.113,2662190,1206.043465 +Sierra Leone,Africa,1972,35.4,2879013,1353.759762 +Sierra Leone,Africa,1977,36.788,3140897,1348.285159 +Sierra Leone,Africa,1982,38.445,3464522,1465.010784 +Sierra Leone,Africa,1987,40.006,3868905,1294.447788 +Sierra Leone,Africa,1992,38.333,4260884,1068.696278 +Sierra Leone,Africa,1997,39.897,4578212,574.6481576 +Sierra Leone,Africa,2002,41.012,5359092,699.489713 +Sierra Leone,Africa,2007,42.568,6144562,862.5407561 +Singapore,Asia,1952,60.396,1127000,2315.138227 +Singapore,Asia,1957,63.179,1445929,2843.104409 +Singapore,Asia,1962,65.798,1750200,3674.735572 +Singapore,Asia,1967,67.946,1977600,4977.41854 +Singapore,Asia,1972,69.521,2152400,8597.756202 +Singapore,Asia,1977,70.795,2325300,11210.08948 +Singapore,Asia,1982,71.76,2651869,15169.16112 +Singapore,Asia,1987,73.56,2794552,18861.53081 +Singapore,Asia,1992,75.788,3235865,24769.8912 +Singapore,Asia,1997,77.158,3802309,33519.4766 +Singapore,Asia,2002,78.77,4197776,36023.1054 +Singapore,Asia,2007,79.972,4553009,47143.17964 +Slovak Republic,Europe,1952,64.36,3558137,5074.659104 +Slovak Republic,Europe,1957,67.45,3844277,6093.26298 +Slovak Republic,Europe,1962,70.33,4237384,7481.107598 +Slovak Republic,Europe,1967,70.98,4442238,8412.902397 +Slovak Republic,Europe,1972,70.35,4593433,9674.167626 +Slovak Republic,Europe,1977,70.45,4827803,10922.66404 +Slovak Republic,Europe,1982,70.8,5048043,11348.54585 +Slovak Republic,Europe,1987,71.08,5199318,12037.26758 +Slovak Republic,Europe,1992,71.38,5302888,9498.467723 +Slovak Republic,Europe,1997,72.71,5383010,12126.23065 +Slovak Republic,Europe,2002,73.8,5410052,13638.77837 +Slovak Republic,Europe,2007,74.663,5447502,18678.31435 +Slovenia,Europe,1952,65.57,1489518,4215.041741 +Slovenia,Europe,1957,67.85,1533070,5862.276629 +Slovenia,Europe,1962,69.15,1582962,7402.303395 +Slovenia,Europe,1967,69.18,1646912,9405.489397 +Slovenia,Europe,1972,69.82,1694510,12383.4862 +Slovenia,Europe,1977,70.97,1746919,15277.03017 +Slovenia,Europe,1982,71.063,1861252,17866.72175 +Slovenia,Europe,1987,72.25,1945870,18678.53492 +Slovenia,Europe,1992,73.64,1999210,14214.71681 +Slovenia,Europe,1997,75.13,2011612,17161.10735 +Slovenia,Europe,2002,76.66,2011497,20660.01936 +Slovenia,Europe,2007,77.926,2009245,25768.25759 +Somalia,Africa,1952,32.978,2526994,1135.749842 +Somalia,Africa,1957,34.977,2780415,1258.147413 +Somalia,Africa,1962,36.981,3080153,1369.488336 +Somalia,Africa,1967,38.977,3428839,1284.73318 +Somalia,Africa,1972,40.973,3840161,1254.576127 +Somalia,Africa,1977,41.974,4353666,1450.992513 +Somalia,Africa,1982,42.955,5828892,1176.807031 +Somalia,Africa,1987,44.501,6921858,1093.244963 +Somalia,Africa,1992,39.658,6099799,926.9602964 +Somalia,Africa,1997,43.795,6633514,930.5964284 +Somalia,Africa,2002,45.936,7753310,882.0818218 +Somalia,Africa,2007,48.159,9118773,926.1410683 +South Africa,Africa,1952,45.009,14264935,4725.295531 +South Africa,Africa,1957,47.985,16151549,5487.104219 +South Africa,Africa,1962,49.951,18356657,5768.729717 +South Africa,Africa,1967,51.927,20997321,7114.477971 +South Africa,Africa,1972,53.696,23935810,7765.962636 +South Africa,Africa,1977,55.527,27129932,8028.651439 +South Africa,Africa,1982,58.161,31140029,8568.266228 +South Africa,Africa,1987,60.834,35933379,7825.823398 +South Africa,Africa,1992,61.888,39964159,7225.069258 +South Africa,Africa,1997,60.236,42835005,7479.188244 +South Africa,Africa,2002,53.365,44433622,7710.946444 +South Africa,Africa,2007,49.339,43997828,9269.657808 +Spain,Europe,1952,64.94,28549870,3834.034742 +Spain,Europe,1957,66.66,29841614,4564.80241 +Spain,Europe,1962,69.69,31158061,5693.843879 +Spain,Europe,1967,71.44,32850275,7993.512294 +Spain,Europe,1972,73.06,34513161,10638.75131 +Spain,Europe,1977,74.39,36439000,13236.92117 +Spain,Europe,1982,76.3,37983310,13926.16997 +Spain,Europe,1987,76.9,38880702,15764.98313 +Spain,Europe,1992,77.57,39549438,18603.06452 +Spain,Europe,1997,78.77,39855442,20445.29896 +Spain,Europe,2002,79.78,40152517,24835.47166 +Spain,Europe,2007,80.941,40448191,28821.0637 +Sri Lanka,Asia,1952,57.593,7982342,1083.53203 +Sri Lanka,Asia,1957,61.456,9128546,1072.546602 +Sri Lanka,Asia,1962,62.192,10421936,1074.47196 +Sri Lanka,Asia,1967,64.266,11737396,1135.514326 +Sri Lanka,Asia,1972,65.042,13016733,1213.39553 +Sri Lanka,Asia,1977,65.949,14116836,1348.775651 +Sri Lanka,Asia,1982,68.757,15410151,1648.079789 +Sri Lanka,Asia,1987,69.011,16495304,1876.766827 +Sri Lanka,Asia,1992,70.379,17587060,2153.739222 +Sri Lanka,Asia,1997,70.457,18698655,2664.477257 +Sri Lanka,Asia,2002,70.815,19576783,3015.378833 +Sri Lanka,Asia,2007,72.396,20378239,3970.095407 +Sudan,Africa,1952,38.635,8504667,1615.991129 +Sudan,Africa,1957,39.624,9753392,1770.337074 +Sudan,Africa,1962,40.87,11183227,1959.593767 +Sudan,Africa,1967,42.858,12716129,1687.997641 +Sudan,Africa,1972,45.083,14597019,1659.652775 +Sudan,Africa,1977,47.8,17104986,2202.988423 +Sudan,Africa,1982,50.338,20367053,1895.544073 +Sudan,Africa,1987,51.744,24725960,1507.819159 +Sudan,Africa,1992,53.556,28227588,1492.197043 +Sudan,Africa,1997,55.373,32160729,1632.210764 +Sudan,Africa,2002,56.369,37090298,1993.398314 +Sudan,Africa,2007,58.556,42292929,2602.394995 +Swaziland,Africa,1952,41.407,290243,1148.376626 +Swaziland,Africa,1957,43.424,326741,1244.708364 +Swaziland,Africa,1962,44.992,370006,1856.182125 +Swaziland,Africa,1967,46.633,420690,2613.101665 +Swaziland,Africa,1972,49.552,480105,3364.836625 +Swaziland,Africa,1977,52.537,551425,3781.410618 +Swaziland,Africa,1982,55.561,649901,3895.384018 +Swaziland,Africa,1987,57.678,779348,3984.839812 +Swaziland,Africa,1992,58.474,962344,3553.0224 +Swaziland,Africa,1997,54.289,1054486,3876.76846 +Swaziland,Africa,2002,43.869,1130269,4128.116943 +Swaziland,Africa,2007,39.613,1133066,4513.480643 +Sweden,Europe,1952,71.86,7124673,8527.844662 +Sweden,Europe,1957,72.49,7363802,9911.878226 +Sweden,Europe,1962,73.37,7561588,12329.44192 +Sweden,Europe,1967,74.16,7867931,15258.29697 +Sweden,Europe,1972,74.72,8122293,17832.02464 +Sweden,Europe,1977,75.44,8251648,18855.72521 +Sweden,Europe,1982,76.42,8325260,20667.38125 +Sweden,Europe,1987,77.19,8421403,23586.92927 +Sweden,Europe,1992,78.16,8718867,23880.01683 +Sweden,Europe,1997,79.39,8897619,25266.59499 +Sweden,Europe,2002,80.04,8954175,29341.63093 +Sweden,Europe,2007,80.884,9031088,33859.74835 +Switzerland,Europe,1952,69.62,4815000,14734.23275 +Switzerland,Europe,1957,70.56,5126000,17909.48973 +Switzerland,Europe,1962,71.32,5666000,20431.0927 +Switzerland,Europe,1967,72.77,6063000,22966.14432 +Switzerland,Europe,1972,73.78,6401400,27195.11304 +Switzerland,Europe,1977,75.39,6316424,26982.29052 +Switzerland,Europe,1982,76.21,6468126,28397.71512 +Switzerland,Europe,1987,77.41,6649942,30281.70459 +Switzerland,Europe,1992,78.03,6995447,31871.5303 +Switzerland,Europe,1997,79.37,7193761,32135.32301 +Switzerland,Europe,2002,80.62,7361757,34480.95771 +Switzerland,Europe,2007,81.701,7554661,37506.41907 +Syria,Asia,1952,45.883,3661549,1643.485354 +Syria,Asia,1957,48.284,4149908,2117.234893 +Syria,Asia,1962,50.305,4834621,2193.037133 +Syria,Asia,1967,53.655,5680812,1881.923632 +Syria,Asia,1972,57.296,6701172,2571.423014 +Syria,Asia,1977,61.195,7932503,3195.484582 +Syria,Asia,1982,64.59,9410494,3761.837715 +Syria,Asia,1987,66.974,11242847,3116.774285 +Syria,Asia,1992,69.249,13219062,3340.542768 +Syria,Asia,1997,71.527,15081016,4014.238972 +Syria,Asia,2002,73.053,17155814,4090.925331 +Syria,Asia,2007,74.143,19314747,4184.548089 +Taiwan,Asia,1952,58.5,8550362,1206.947913 +Taiwan,Asia,1957,62.4,10164215,1507.86129 +Taiwan,Asia,1962,65.2,11918938,1822.879028 +Taiwan,Asia,1967,67.5,13648692,2643.858681 +Taiwan,Asia,1972,69.39,15226039,4062.523897 +Taiwan,Asia,1977,70.59,16785196,5596.519826 +Taiwan,Asia,1982,72.16,18501390,7426.354774 +Taiwan,Asia,1987,73.4,19757799,11054.56175 +Taiwan,Asia,1992,74.26,20686918,15215.6579 +Taiwan,Asia,1997,75.25,21628605,20206.82098 +Taiwan,Asia,2002,76.99,22454239,23235.42329 +Taiwan,Asia,2007,78.4,23174294,28718.27684 +Tanzania,Africa,1952,41.215,8322925,716.6500721 +Tanzania,Africa,1957,42.974,9452826,698.5356073 +Tanzania,Africa,1962,44.246,10863958,722.0038073 +Tanzania,Africa,1967,45.757,12607312,848.2186575 +Tanzania,Africa,1972,47.62,14706593,915.9850592 +Tanzania,Africa,1977,49.919,17129565,962.4922932 +Tanzania,Africa,1982,50.608,19844382,874.2426069 +Tanzania,Africa,1987,51.535,23040630,831.8220794 +Tanzania,Africa,1992,50.44,26605473,825.682454 +Tanzania,Africa,1997,48.466,30686889,789.1862231 +Tanzania,Africa,2002,49.651,34593779,899.0742111 +Tanzania,Africa,2007,52.517,38139640,1107.482182 +Thailand,Asia,1952,50.848,21289402,757.7974177 +Thailand,Asia,1957,53.63,25041917,793.5774148 +Thailand,Asia,1962,56.061,29263397,1002.199172 +Thailand,Asia,1967,58.285,34024249,1295.46066 +Thailand,Asia,1972,60.405,39276153,1524.358936 +Thailand,Asia,1977,62.494,44148285,1961.224635 +Thailand,Asia,1982,64.597,48827160,2393.219781 +Thailand,Asia,1987,66.084,52910342,2982.653773 +Thailand,Asia,1992,67.298,56667095,4616.896545 +Thailand,Asia,1997,67.521,60216677,5852.625497 +Thailand,Asia,2002,68.564,62806748,5913.187529 +Thailand,Asia,2007,70.616,65068149,7458.396327 +Togo,Africa,1952,38.596,1219113,859.8086567 +Togo,Africa,1957,41.208,1357445,925.9083202 +Togo,Africa,1962,43.922,1528098,1067.53481 +Togo,Africa,1967,46.769,1735550,1477.59676 +Togo,Africa,1972,49.759,2056351,1649.660188 +Togo,Africa,1977,52.887,2308582,1532.776998 +Togo,Africa,1982,55.471,2644765,1344.577953 +Togo,Africa,1987,56.941,3154264,1202.201361 +Togo,Africa,1992,58.061,3747553,1034.298904 +Togo,Africa,1997,58.39,4320890,982.2869243 +Togo,Africa,2002,57.561,4977378,886.2205765 +Togo,Africa,2007,58.42,5701579,882.9699438 +Trinidad and Tobago,Americas,1952,59.1,662850,3023.271928 +Trinidad and Tobago,Americas,1957,61.8,764900,4100.3934 +Trinidad and Tobago,Americas,1962,64.9,887498,4997.523971 +Trinidad and Tobago,Americas,1967,65.4,960155,5621.368472 +Trinidad and Tobago,Americas,1972,65.9,975199,6619.551419 +Trinidad and Tobago,Americas,1977,68.3,1039009,7899.554209 +Trinidad and Tobago,Americas,1982,68.832,1116479,9119.528607 +Trinidad and Tobago,Americas,1987,69.582,1191336,7388.597823 +Trinidad and Tobago,Americas,1992,69.862,1183669,7370.990932 +Trinidad and Tobago,Americas,1997,69.465,1138101,8792.573126 +Trinidad and Tobago,Americas,2002,68.976,1101832,11460.60023 +Trinidad and Tobago,Americas,2007,69.819,1056608,18008.50924 +Tunisia,Africa,1952,44.6,3647735,1468.475631 +Tunisia,Africa,1957,47.1,3950849,1395.232468 +Tunisia,Africa,1962,49.579,4286552,1660.30321 +Tunisia,Africa,1967,52.053,4786986,1932.360167 +Tunisia,Africa,1972,55.602,5303507,2753.285994 +Tunisia,Africa,1977,59.837,6005061,3120.876811 +Tunisia,Africa,1982,64.048,6734098,3560.233174 +Tunisia,Africa,1987,66.894,7724976,3810.419296 +Tunisia,Africa,1992,70.001,8523077,4332.720164 +Tunisia,Africa,1997,71.973,9231669,4876.798614 +Tunisia,Africa,2002,73.042,9770575,5722.895655 +Tunisia,Africa,2007,73.923,10276158,7092.923025 +Turkey,Europe,1952,43.585,22235677,1969.10098 +Turkey,Europe,1957,48.079,25670939,2218.754257 +Turkey,Europe,1962,52.098,29788695,2322.869908 +Turkey,Europe,1967,54.336,33411317,2826.356387 +Turkey,Europe,1972,57.005,37492953,3450.69638 +Turkey,Europe,1977,59.507,42404033,4269.122326 +Turkey,Europe,1982,61.036,47328791,4241.356344 +Turkey,Europe,1987,63.108,52881328,5089.043686 +Turkey,Europe,1992,66.146,58179144,5678.348271 +Turkey,Europe,1997,68.835,63047647,6601.429915 +Turkey,Europe,2002,70.845,67308928,6508.085718 +Turkey,Europe,2007,71.777,71158647,8458.276384 +Uganda,Africa,1952,39.978,5824797,734.753484 +Uganda,Africa,1957,42.571,6675501,774.3710692 +Uganda,Africa,1962,45.344,7688797,767.2717398 +Uganda,Africa,1967,48.051,8900294,908.9185217 +Uganda,Africa,1972,51.016,10190285,950.735869 +Uganda,Africa,1977,50.35,11457758,843.7331372 +Uganda,Africa,1982,49.849,12939400,682.2662268 +Uganda,Africa,1987,51.509,15283050,617.7244065 +Uganda,Africa,1992,48.825,18252190,644.1707969 +Uganda,Africa,1997,44.578,21210254,816.559081 +Uganda,Africa,2002,47.813,24739869,927.7210018 +Uganda,Africa,2007,51.542,29170398,1056.380121 +United Kingdom,Europe,1952,69.18,50430000,9979.508487 +United Kingdom,Europe,1957,70.42,51430000,11283.17795 +United Kingdom,Europe,1962,70.76,53292000,12477.17707 +United Kingdom,Europe,1967,71.36,54959000,14142.85089 +United Kingdom,Europe,1972,72.01,56079000,15895.11641 +United Kingdom,Europe,1977,72.76,56179000,17428.74846 +United Kingdom,Europe,1982,74.04,56339704,18232.42452 +United Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 +Uruguay,Americas,1952,66.071,2252965,5716.766744 +Uruguay,Americas,1957,67.044,2424959,6150.772969 +Uruguay,Americas,1962,68.253,2598466,5603.357717 +Uruguay,Americas,1967,68.468,2748579,5444.61962 +Uruguay,Americas,1972,68.673,2829526,5703.408898 +Uruguay,Americas,1977,69.481,2873520,6504.339663 +Uruguay,Americas,1982,70.805,2953997,6920.223051 +Uruguay,Americas,1987,71.918,3045153,7452.398969 +Uruguay,Americas,1992,72.752,3149262,8137.004775 +Uruguay,Americas,1997,74.223,3262838,9230.240708 +Uruguay,Americas,2002,75.307,3363085,7727.002004 +Uruguay,Americas,2007,76.384,3447496,10611.46299 +Venezuela,Americas,1952,55.088,5439568,7689.799761 +Venezuela,Americas,1957,57.907,6702668,9802.466526 +Venezuela,Americas,1962,60.77,8143375,8422.974165 +Venezuela,Americas,1967,63.479,9709552,9541.474188 +Venezuela,Americas,1972,65.712,11515649,10505.25966 +Venezuela,Americas,1977,67.456,13503563,13143.95095 +Venezuela,Americas,1982,68.557,15620766,11152.41011 +Venezuela,Americas,1987,70.19,17910182,9883.584648 +Venezuela,Americas,1992,71.15,20265563,10733.92631 +Venezuela,Americas,1997,72.146,22374398,10165.49518 +Venezuela,Americas,2002,72.766,24287670,8605.047831 +Venezuela,Americas,2007,73.747,26084662,11415.80569 +Vietnam,Asia,1952,40.412,26246839,605.0664917 +Vietnam,Asia,1957,42.887,28998543,676.2854478 +Vietnam,Asia,1962,45.363,33796140,772.0491602 +Vietnam,Asia,1967,47.838,39463910,637.1232887 +Vietnam,Asia,1972,50.254,44655014,699.5016441 +Vietnam,Asia,1977,55.764,50533506,713.5371196 +Vietnam,Asia,1982,58.816,56142181,707.2357863 +Vietnam,Asia,1987,62.82,62826491,820.7994449 +Vietnam,Asia,1992,67.662,69940728,989.0231487 +Vietnam,Asia,1997,70.672,76048996,1385.896769 +Vietnam,Asia,2002,73.017,80908147,1764.456677 +Vietnam,Asia,2007,74.249,85262356,2441.576404 +West Bank and Gaza,Asia,1952,43.16,1030585,1515.592329 +West Bank and Gaza,Asia,1957,45.671,1070439,1827.067742 +West Bank and Gaza,Asia,1962,48.127,1133134,2198.956312 +West Bank and Gaza,Asia,1967,51.631,1142636,2649.715007 +West Bank and Gaza,Asia,1972,56.532,1089572,3133.409277 +West Bank and Gaza,Asia,1977,60.765,1261091,3682.831494 +West Bank and Gaza,Asia,1982,64.406,1425876,4336.032082 +West Bank and Gaza,Asia,1987,67.046,1691210,5107.197384 +West Bank and Gaza,Asia,1992,69.718,2104779,6017.654756 +West Bank and Gaza,Asia,1997,71.096,2826046,7110.667619 +West Bank and Gaza,Asia,2002,72.37,3389578,4515.487575 +West Bank and Gaza,Asia,2007,73.422,4018332,3025.349798 +"Yemen, Rep.",Asia,1952,32.548,4963829,781.7175761 +"Yemen, Rep.",Asia,1957,33.97,5498090,804.8304547 +"Yemen, Rep.",Asia,1962,35.18,6120081,825.6232006 +"Yemen, Rep.",Asia,1967,36.984,6740785,862.4421463 +"Yemen, Rep.",Asia,1972,39.848,7407075,1265.047031 +"Yemen, Rep.",Asia,1977,44.175,8403990,1829.765177 +"Yemen, Rep.",Asia,1982,49.113,9657618,1977.55701 +"Yemen, Rep.",Asia,1987,52.922,11219340,1971.741538 +"Yemen, Rep.",Asia,1992,55.599,13367997,1879.496673 +"Yemen, Rep.",Asia,1997,58.02,15826497,2117.484526 +"Yemen, Rep.",Asia,2002,60.308,18701257,2234.820827 +"Yemen, Rep.",Asia,2007,62.698,22211743,2280.769906 +Zambia,Africa,1952,42.038,2672000,1147.388831 +Zambia,Africa,1957,44.077,3016000,1311.956766 +Zambia,Africa,1962,46.023,3421000,1452.725766 +Zambia,Africa,1967,47.768,3900000,1777.077318 +Zambia,Africa,1972,50.107,4506497,1773.498265 +Zambia,Africa,1977,51.386,5216550,1588.688299 +Zambia,Africa,1982,51.821,6100407,1408.678565 +Zambia,Africa,1987,50.821,7272406,1213.315116 +Zambia,Africa,1992,46.1,8381163,1210.884633 +Zambia,Africa,1997,40.238,9417789,1071.353818 +Zambia,Africa,2002,39.193,10595811,1071.613938 +Zambia,Africa,2007,42.384,11746035,1271.211593 +Zimbabwe,Africa,1952,48.451,3080907,406.8841148 +Zimbabwe,Africa,1957,50.469,3646340,518.7642681 +Zimbabwe,Africa,1962,52.358,4277736,527.2721818 +Zimbabwe,Africa,1967,53.995,4995432,569.7950712 +Zimbabwe,Africa,1972,55.635,5861135,799.3621758 +Zimbabwe,Africa,1977,57.674,6642107,685.5876821 +Zimbabwe,Africa,1982,60.363,7636524,788.8550411 +Zimbabwe,Africa,1987,62.351,9216418,706.1573059 +Zimbabwe,Africa,1992,60.377,10704340,693.4207856 +Zimbabwe,Africa,1997,46.809,11404948,792.4499603 +Zimbabwe,Africa,2002,39.989,11926563,672.0386227 +Zimbabwe,Africa,2007,43.487,12311143,469.7092981 diff --git a/docs/projects/01-class/data/mpg.csv b/docs/projects/01-class/data/mpg.csv new file mode 100644 index 00000000..e6a7d628 --- /dev/null +++ b/docs/projects/01-class/data/mpg.csv @@ -0,0 +1,235 @@ +manufacturer,model,displ,year,cyl,trans,drv,cty,hwy,fl,class +audi,a4,1.8,1999,4,auto(l5),f,18,29,p,compact +audi,a4,1.8,1999,4,manual(m5),f,21,29,p,compact +audi,a4,2,2008,4,manual(m6),f,20,31,p,compact +audi,a4,2,2008,4,auto(av),f,21,30,p,compact +audi,a4,2.8,1999,6,auto(l5),f,16,26,p,compact +audi,a4,2.8,1999,6,manual(m5),f,18,26,p,compact +audi,a4,3.1,2008,6,auto(av),f,18,27,p,compact +audi,a4 quattro,1.8,1999,4,manual(m5),4,18,26,p,compact +audi,a4 quattro,1.8,1999,4,auto(l5),4,16,25,p,compact +audi,a4 quattro,2,2008,4,manual(m6),4,20,28,p,compact +audi,a4 quattro,2,2008,4,auto(s6),4,19,27,p,compact +audi,a4 quattro,2.8,1999,6,auto(l5),4,15,25,p,compact +audi,a4 quattro,2.8,1999,6,manual(m5),4,17,25,p,compact +audi,a4 quattro,3.1,2008,6,auto(s6),4,17,25,p,compact +audi,a4 quattro,3.1,2008,6,manual(m6),4,15,25,p,compact +audi,a6 quattro,2.8,1999,6,auto(l5),4,15,24,p,midsize +audi,a6 quattro,3.1,2008,6,auto(s6),4,17,25,p,midsize +audi,a6 quattro,4.2,2008,8,auto(s6),4,16,23,p,midsize +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,14,20,r,suv +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,11,15,e,suv +chevrolet,c1500 suburban 2wd,5.3,2008,8,auto(l4),r,14,20,r,suv +chevrolet,c1500 suburban 2wd,5.7,1999,8,auto(l4),r,13,17,r,suv +chevrolet,c1500 suburban 2wd,6,2008,8,auto(l4),r,12,17,r,suv +chevrolet,corvette,5.7,1999,8,manual(m6),r,16,26,p,2seater +chevrolet,corvette,5.7,1999,8,auto(l4),r,15,23,p,2seater +chevrolet,corvette,6.2,2008,8,manual(m6),r,16,26,p,2seater +chevrolet,corvette,6.2,2008,8,auto(s6),r,15,25,p,2seater +chevrolet,corvette,7,2008,8,manual(m6),r,15,24,p,2seater +chevrolet,k1500 tahoe 4wd,5.3,2008,8,auto(l4),4,14,19,r,suv +chevrolet,k1500 tahoe 4wd,5.3,2008,8,auto(l4),4,11,14,e,suv +chevrolet,k1500 tahoe 4wd,5.7,1999,8,auto(l4),4,11,15,r,suv +chevrolet,k1500 tahoe 4wd,6.5,1999,8,auto(l4),4,14,17,d,suv +chevrolet,malibu,2.4,1999,4,auto(l4),f,19,27,r,midsize +chevrolet,malibu,2.4,2008,4,auto(l4),f,22,30,r,midsize +chevrolet,malibu,3.1,1999,6,auto(l4),f,18,26,r,midsize +chevrolet,malibu,3.5,2008,6,auto(l4),f,18,29,r,midsize +chevrolet,malibu,3.6,2008,6,auto(s6),f,17,26,r,midsize +dodge,caravan 2wd,2.4,1999,4,auto(l3),f,18,24,r,minivan +dodge,caravan 2wd,3,1999,6,auto(l4),f,17,24,r,minivan +dodge,caravan 2wd,3.3,1999,6,auto(l4),f,16,22,r,minivan +dodge,caravan 2wd,3.3,1999,6,auto(l4),f,16,22,r,minivan +dodge,caravan 2wd,3.3,2008,6,auto(l4),f,17,24,r,minivan +dodge,caravan 2wd,3.3,2008,6,auto(l4),f,17,24,r,minivan +dodge,caravan 2wd,3.3,2008,6,auto(l4),f,11,17,e,minivan +dodge,caravan 2wd,3.8,1999,6,auto(l4),f,15,22,r,minivan +dodge,caravan 2wd,3.8,1999,6,auto(l4),f,15,21,r,minivan +dodge,caravan 2wd,3.8,2008,6,auto(l6),f,16,23,r,minivan +dodge,caravan 2wd,4,2008,6,auto(l6),f,16,23,r,minivan +dodge,dakota pickup 4wd,3.7,2008,6,manual(m6),4,15,19,r,pickup +dodge,dakota pickup 4wd,3.7,2008,6,auto(l4),4,14,18,r,pickup +dodge,dakota pickup 4wd,3.9,1999,6,auto(l4),4,13,17,r,pickup +dodge,dakota pickup 4wd,3.9,1999,6,manual(m5),4,14,17,r,pickup +dodge,dakota pickup 4wd,4.7,2008,8,auto(l5),4,14,19,r,pickup +dodge,dakota pickup 4wd,4.7,2008,8,auto(l5),4,14,19,r,pickup +dodge,dakota pickup 4wd,4.7,2008,8,auto(l5),4,9,12,e,pickup +dodge,dakota pickup 4wd,5.2,1999,8,manual(m5),4,11,17,r,pickup +dodge,dakota pickup 4wd,5.2,1999,8,auto(l4),4,11,15,r,pickup +dodge,durango 4wd,3.9,1999,6,auto(l4),4,13,17,r,suv +dodge,durango 4wd,4.7,2008,8,auto(l5),4,13,17,r,suv +dodge,durango 4wd,4.7,2008,8,auto(l5),4,9,12,e,suv +dodge,durango 4wd,4.7,2008,8,auto(l5),4,13,17,r,suv +dodge,durango 4wd,5.2,1999,8,auto(l4),4,11,16,r,suv +dodge,durango 4wd,5.7,2008,8,auto(l5),4,13,18,r,suv +dodge,durango 4wd,5.9,1999,8,auto(l4),4,11,15,r,suv +dodge,ram 1500 pickup 4wd,4.7,2008,8,manual(m6),4,12,16,r,pickup +dodge,ram 1500 pickup 4wd,4.7,2008,8,auto(l5),4,9,12,e,pickup +dodge,ram 1500 pickup 4wd,4.7,2008,8,auto(l5),4,13,17,r,pickup +dodge,ram 1500 pickup 4wd,4.7,2008,8,auto(l5),4,13,17,r,pickup +dodge,ram 1500 pickup 4wd,4.7,2008,8,manual(m6),4,12,16,r,pickup +dodge,ram 1500 pickup 4wd,4.7,2008,8,manual(m6),4,9,12,e,pickup +dodge,ram 1500 pickup 4wd,5.2,1999,8,auto(l4),4,11,15,r,pickup +dodge,ram 1500 pickup 4wd,5.2,1999,8,manual(m5),4,11,16,r,pickup +dodge,ram 1500 pickup 4wd,5.7,2008,8,auto(l5),4,13,17,r,pickup +dodge,ram 1500 pickup 4wd,5.9,1999,8,auto(l4),4,11,15,r,pickup +ford,expedition 2wd,4.6,1999,8,auto(l4),r,11,17,r,suv +ford,expedition 2wd,5.4,1999,8,auto(l4),r,11,17,r,suv +ford,expedition 2wd,5.4,2008,8,auto(l6),r,12,18,r,suv +ford,explorer 4wd,4,1999,6,auto(l5),4,14,17,r,suv +ford,explorer 4wd,4,1999,6,manual(m5),4,15,19,r,suv +ford,explorer 4wd,4,1999,6,auto(l5),4,14,17,r,suv +ford,explorer 4wd,4,2008,6,auto(l5),4,13,19,r,suv +ford,explorer 4wd,4.6,2008,8,auto(l6),4,13,19,r,suv +ford,explorer 4wd,5,1999,8,auto(l4),4,13,17,r,suv +ford,f150 pickup 4wd,4.2,1999,6,auto(l4),4,14,17,r,pickup +ford,f150 pickup 4wd,4.2,1999,6,manual(m5),4,14,17,r,pickup +ford,f150 pickup 4wd,4.6,1999,8,manual(m5),4,13,16,r,pickup +ford,f150 pickup 4wd,4.6,1999,8,auto(l4),4,13,16,r,pickup +ford,f150 pickup 4wd,4.6,2008,8,auto(l4),4,13,17,r,pickup +ford,f150 pickup 4wd,5.4,1999,8,auto(l4),4,11,15,r,pickup +ford,f150 pickup 4wd,5.4,2008,8,auto(l4),4,13,17,r,pickup +ford,mustang,3.8,1999,6,manual(m5),r,18,26,r,subcompact +ford,mustang,3.8,1999,6,auto(l4),r,18,25,r,subcompact +ford,mustang,4,2008,6,manual(m5),r,17,26,r,subcompact +ford,mustang,4,2008,6,auto(l5),r,16,24,r,subcompact +ford,mustang,4.6,1999,8,auto(l4),r,15,21,r,subcompact +ford,mustang,4.6,1999,8,manual(m5),r,15,22,r,subcompact +ford,mustang,4.6,2008,8,manual(m5),r,15,23,r,subcompact +ford,mustang,4.6,2008,8,auto(l5),r,15,22,r,subcompact +ford,mustang,5.4,2008,8,manual(m6),r,14,20,p,subcompact +honda,civic,1.6,1999,4,manual(m5),f,28,33,r,subcompact +honda,civic,1.6,1999,4,auto(l4),f,24,32,r,subcompact +honda,civic,1.6,1999,4,manual(m5),f,25,32,r,subcompact +honda,civic,1.6,1999,4,manual(m5),f,23,29,p,subcompact +honda,civic,1.6,1999,4,auto(l4),f,24,32,r,subcompact +honda,civic,1.8,2008,4,manual(m5),f,26,34,r,subcompact +honda,civic,1.8,2008,4,auto(l5),f,25,36,r,subcompact +honda,civic,1.8,2008,4,auto(l5),f,24,36,c,subcompact +honda,civic,2,2008,4,manual(m6),f,21,29,p,subcompact +hyundai,sonata,2.4,1999,4,auto(l4),f,18,26,r,midsize +hyundai,sonata,2.4,1999,4,manual(m5),f,18,27,r,midsize +hyundai,sonata,2.4,2008,4,auto(l4),f,21,30,r,midsize +hyundai,sonata,2.4,2008,4,manual(m5),f,21,31,r,midsize +hyundai,sonata,2.5,1999,6,auto(l4),f,18,26,r,midsize +hyundai,sonata,2.5,1999,6,manual(m5),f,18,26,r,midsize +hyundai,sonata,3.3,2008,6,auto(l5),f,19,28,r,midsize +hyundai,tiburon,2,1999,4,auto(l4),f,19,26,r,subcompact +hyundai,tiburon,2,1999,4,manual(m5),f,19,29,r,subcompact +hyundai,tiburon,2,2008,4,manual(m5),f,20,28,r,subcompact +hyundai,tiburon,2,2008,4,auto(l4),f,20,27,r,subcompact +hyundai,tiburon,2.7,2008,6,auto(l4),f,17,24,r,subcompact +hyundai,tiburon,2.7,2008,6,manual(m6),f,16,24,r,subcompact +hyundai,tiburon,2.7,2008,6,manual(m5),f,17,24,r,subcompact +jeep,grand cherokee 4wd,3,2008,6,auto(l5),4,17,22,d,suv +jeep,grand cherokee 4wd,3.7,2008,6,auto(l5),4,15,19,r,suv +jeep,grand cherokee 4wd,4,1999,6,auto(l4),4,15,20,r,suv +jeep,grand cherokee 4wd,4.7,1999,8,auto(l4),4,14,17,r,suv +jeep,grand cherokee 4wd,4.7,2008,8,auto(l5),4,9,12,e,suv +jeep,grand cherokee 4wd,4.7,2008,8,auto(l5),4,14,19,r,suv +jeep,grand cherokee 4wd,5.7,2008,8,auto(l5),4,13,18,r,suv +jeep,grand cherokee 4wd,6.1,2008,8,auto(l5),4,11,14,p,suv +land rover,range rover,4,1999,8,auto(l4),4,11,15,p,suv +land rover,range rover,4.2,2008,8,auto(s6),4,12,18,r,suv +land rover,range rover,4.4,2008,8,auto(s6),4,12,18,r,suv +land rover,range rover,4.6,1999,8,auto(l4),4,11,15,p,suv +lincoln,navigator 2wd,5.4,1999,8,auto(l4),r,11,17,r,suv +lincoln,navigator 2wd,5.4,1999,8,auto(l4),r,11,16,p,suv +lincoln,navigator 2wd,5.4,2008,8,auto(l6),r,12,18,r,suv +mercury,mountaineer 4wd,4,1999,6,auto(l5),4,14,17,r,suv +mercury,mountaineer 4wd,4,2008,6,auto(l5),4,13,19,r,suv +mercury,mountaineer 4wd,4.6,2008,8,auto(l6),4,13,19,r,suv +mercury,mountaineer 4wd,5,1999,8,auto(l4),4,13,17,r,suv +nissan,altima,2.4,1999,4,manual(m5),f,21,29,r,compact +nissan,altima,2.4,1999,4,auto(l4),f,19,27,r,compact +nissan,altima,2.5,2008,4,auto(av),f,23,31,r,midsize +nissan,altima,2.5,2008,4,manual(m6),f,23,32,r,midsize +nissan,altima,3.5,2008,6,manual(m6),f,19,27,p,midsize +nissan,altima,3.5,2008,6,auto(av),f,19,26,p,midsize +nissan,maxima,3,1999,6,auto(l4),f,18,26,r,midsize +nissan,maxima,3,1999,6,manual(m5),f,19,25,r,midsize +nissan,maxima,3.5,2008,6,auto(av),f,19,25,p,midsize +nissan,pathfinder 4wd,3.3,1999,6,auto(l4),4,14,17,r,suv +nissan,pathfinder 4wd,3.3,1999,6,manual(m5),4,15,17,r,suv +nissan,pathfinder 4wd,4,2008,6,auto(l5),4,14,20,p,suv +nissan,pathfinder 4wd,5.6,2008,8,auto(s5),4,12,18,p,suv +pontiac,grand prix,3.1,1999,6,auto(l4),f,18,26,r,midsize +pontiac,grand prix,3.8,1999,6,auto(l4),f,16,26,p,midsize +pontiac,grand prix,3.8,1999,6,auto(l4),f,17,27,r,midsize +pontiac,grand prix,3.8,2008,6,auto(l4),f,18,28,r,midsize +pontiac,grand prix,5.3,2008,8,auto(s4),f,16,25,p,midsize +subaru,forester awd,2.5,1999,4,manual(m5),4,18,25,r,suv +subaru,forester awd,2.5,1999,4,auto(l4),4,18,24,r,suv +subaru,forester 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a/docs/projects/01-class/recreate_me.pdf b/docs/projects/01-class/recreate_me.pdf new file mode 100644 index 00000000..51d92281 Binary files /dev/null and b/docs/projects/01-class/recreate_me.pdf differ diff --git a/docs/projects/01-class/references.bib b/docs/projects/01-class/references.bib new file mode 100644 index 00000000..ff70526e --- /dev/null +++ b/docs/projects/01-class/references.bib @@ -0,0 +1,47 @@ +@book{wb-eval, + author = {Paul J. Gertler and Sebastian Martinez and Patrick Premand and Laura B. Rawlings and Christel M. J. Vermeersch}, + date-added = {2021-08-23 14:20:05 -0400}, + date-modified = {2021-08-23 14:20:05 -0400}, + edition = {2}, + publisher = {Inter-American Development Bank and World Bank}, + title = {Impact Evaluation in Practice}, + url = {https://openknowledge.worldbank.org/handle/10986/25030}, + year = {2016}, + Bdsk-Url-1 = {https://openknowledge.worldbank.org/handle/10986/25030}} + +@book{Huntington-Klein:2021, + address = {Boca Raton, Florida}, + author = {Nick Huntington-Klein}, + date-added = {2021-08-23 14:20:00 -0400}, + date-modified = {2021-08-23 14:20:00 -0400}, + publisher = {{Chapman and Hall} / CRC}, + title = {The Effect: An Introduction to Research Design and Causality}, + url = {https://theeffectbook.net/}, + year = {2021}, + Bdsk-Url-1 = {https://theeffectbook.net/}} + +@article{ChaudhryHeiss:2021, + author = {Suparna Chaudhry and Andrew Heiss}, + date-added = {2021-08-23 14:19:19 -0400}, + date-modified = {2021-08-23 14:19:19 -0400}, + doi = {10.1177/0899764020971045}, + journal = {Nonprofit and Voluntary Sector Quarterly}, + month = {6}, + number = {3}, + pages = {481--505}, + title = {Dynamics of International Giving: How Heuristics Shape Individual Donor Preferences}, + volume = {50}, + year = {2021}, + Bdsk-Url-1 = {https://doi.org/10.1177/0899764020971045}} + +@article{HeissKelley:2017, + author = {Andrew Heiss and Judith G. Kelley}, + doi = {10.1086/691218}, + journal = {Journal of Politics}, + month = {4}, + number = {2}, + pages = {732--741}, + title = {Between a Rock and a Hard Place: International {NGOs} and the Dual Pressures of Donors and Host Governments}, + volume = {79}, + year = {2017}, + Bdsk-Url-1 = {https://doi.org/10.1086/691218}} diff --git a/docs/projects/background-theory/background-theory.Rproj b/docs/projects/background-theory/background-theory.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/background-theory/background-theory.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/background-theory/figures/placeholder.png b/docs/projects/background-theory/figures/placeholder.png new file mode 100644 index 00000000..5c05ed54 Binary files /dev/null and b/docs/projects/background-theory/figures/placeholder.png differ diff --git a/docs/projects/background-theory/your-name_background-theory.Rmd b/docs/projects/background-theory/your-name_background-theory.Rmd new file mode 100644 index 00000000..1289409d --- /dev/null +++ b/docs/projects/background-theory/your-name_background-theory.Rmd @@ -0,0 +1,68 @@ +--- +title: "Background and theory" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +# 1: Program background and purpose + +*(≈350 words)* + +Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn’t started yet, explain why it’s under consideration. Make sure you cite your sources appropriately! (In the past, some students have just copied/pasted text from a program's website; don't do that! Describe and analyze the program's background!) + + +# 2: Program theory + +*(≈400 words)* + +Explain and explore the program’s underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don’t and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. + +Include a simple impact theory graph showing the program’s basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. + +![My neat impact theory](figures/placeholder.png) + + +# 3: Logic model + +List every possible input, activity, output, and outcome for the program and provide a brief 1–2 sentence description of each. + +## Inputs + +- Something +- Something else + +## Activities + +- Something +- Something else + +## Outputs + +- Something +- Something else + +## Outcomes + +- Something +- Something else + +## Diagram + +Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Remember that inputs will always feed into activities, and that activities always produce outputs (that's the whole purpose of an activity: convert an input to an output). Include this as a figure. + +![My neat logic model](figures/placeholder.png) + + +# 4: Analysis + +*(≈150 words)* + +Evaluate how well the logic model relates to the program theory. Do the inputs, activities, and outputs have a logical, well-grounded connection to the intended outcomes? Under ideal conditions, would the components of the program lead to changes or lasting effects? diff --git a/docs/projects/causal-model/causal-model.Rproj b/docs/projects/causal-model/causal-model.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/causal-model/causal-model.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/causal-model/your-name_causal-model.Rmd b/docs/projects/causal-model/your-name_causal-model.Rmd new file mode 100644 index 00000000..2d0b945d --- /dev/null +++ b/docs/projects/causal-model/your-name_causal-model.Rmd @@ -0,0 +1,84 @@ +--- +title: "Causal models" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +**Feel free to remove any/all of the placeholder text and instructions here!** + + +## 1: DAG I + +Find a news article that makes a causal claim and interpret that claim by drawing an appropriate diagram. The article likely won't explain all the things the researchers controlled for, so you'll need to create an ideal DAG. What should be included in the causal process to measure the effect of X on Y? + +INCLUDE IMAGE HERE + +Export the figure from dagitty and include it in your assignment, or use this code to draw the DAG with R: + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(ggdag) +``` + +```{r example-dag-code} +# Remember that you can change the variable names here--they can be basically +# anything, but cannot include spaces. The labels can have spaces. Adjust the +# variable names (y, x2, etc) and labels ("Outcome", "Something", etc.) as +# necessary. +my_dag <- dagify(y ~ x1 + x2 + z, + z ~ x1, + x2 ~ x1 + z, + labels = c("y" = "Outcome", + "x1" = "Something", + "x2" = "Something else", + "z" = "Yet another thing"), + exposure = "z", + outcome = "y") + +# If you set text = TRUE, you'll see the variable names in the DAG points +# The `seed` argument makes it so that the random layout is the same every time +ggdag(my_dag, text = FALSE, use_labels = "label", seed = 1234) + + theme_dag() + +# If you want the treatment and outcomes colored differently, +# replace ggdag() with ggdag_status() +ggdag_status(my_dag, text = FALSE, use_labels = "label", seed = 1234) + + theme_dag() + + theme(legend.position = "bottom") +``` + +Summarize the causal claim. Describe what the authors controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* + +Identify all the frontdoor and backdoor paths between your exposure and outcome. What variables need to be controlled for / adjusted to close the backdoors? Did this happen in the study or article? *(≈100 words)* + + +## 2: DAG II + +Find a different news article with a causal claim and do the same thing as above. + +Draw and include a DAG. + +INCLUDE IMAGE HERE + +Summarize the causal claim. Describe what the authors controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* + +Identify all the frontdoor and backdoor paths between your exposure and outcome. What variables need to be controlled for / adjusted to close the backdoors? Did this happen in the study or article? *(≈100 words)* + + +## 3: DAG for your program + +Identify the outcome you care most about from your final project program. Draw a DAG that shows the causal effect of your program's intervention on the outcome. + +INCLUDE IMAGE HERE + +Summarize the causal claim. Describe what needs to be controlled for and what else you included in the DAG. Justify the inclusion of each node (point) and connection (line) in the graph. *(≈150 words)* + +Identify all the frontdoor and backdoor paths between your exposure and outcome. What variables need to be controlled for / adjusted to close the backdoors? How might you do this with your evaluation? *(≈100 words)* diff --git a/docs/projects/final-project/final-project-template.Rmd b/docs/projects/final-project/final-project-template.Rmd new file mode 100644 index 00000000..6a227874 --- /dev/null +++ b/docs/projects/final-project/final-project-template.Rmd @@ -0,0 +1,110 @@ +--- +title: "TITLE GOES HERE" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + + + +```{r setup, include=FALSE} +# Change this to `echo = FALSE` to hide all code +knitr::opts_chunk$set(echo = TRUE) +``` + +# Introduction + +Describe the motivation for this evaluation, briefly describe the program to be evaluated, and explain why it matters for society. (**≈150 words**) + + +# Program overview + +Provide in-depth background about the program. Include details about (1) when it was started, (2) why it was started, (3) what it was designed to address in society. If the program hasn't started yet, explain why it's under consideration. (**≈300 words**) + + +# Program theory and implementation + +## Program theory and impact theory graph + +Explain and explore the program's underlying theory. Sometimes programs will explain why they exist in a mission statement, but often they don't and you have to infer the theory from what the program looks like when implemented. What did the program designers plan on occurring? Was this theory based on existing research? If so, cite it. (**≈300 words**) + +Include a simple impact theory graph showing the program's basic activities and outcomes. Recall from class and your reading that this is focused primarily on the theory and mechanisms, not on the implementation of the program. + +## Logic model + +Describe the program's inputs, activities, outputs, and outcomes. Pay careful attention to how they are linked—remember that every input needs to flow into an activity and every output must flow out of an activity. (**≈150 words**) + +Use flowchart software to connect the inputs, activities, outputs, and outcomes and create a complete logic model. Include this as a figure. + + +# Outcome and causation + +## Main outcome + +Select one of the program's outcomes to evaluate. Explain why you've chosen this (is it the most important? easiest to measure? has the greatest impact on society?) (**≈50 words**) + +## Measurement + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome. Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. Then, for each of these attributes, answer these questions: + +- *Measurable definition*: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) +- *Ideal measurement*: How would you measure this attribute in an ideal world? +- *Feasible measurement*: How would you measure this given reality and given limitations in budget, time, etc.? +- *Measurement of program effect*: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? + +(**≈150 words** in this section) + +## Causal theory + +Given your measurement approach, describe and draw a causal diagram (DAG) that shows how your program causes the outcome. Note that this is not the same thing as the logic model—you'll likely have nodes in the DAG that aren't related to the program at all (like socioeconomic status, gender, experience, or other factors). The logic model provides the framework for the actual implementation of your program and connects all the moving parts to the outcomes. The DAG is how you can prove causation with statistical approaches. (**≈150 words**) + +## Hypotheses + +Make predictions of your program's effect. Declare what you think will happen. (**≈50 words**) + + +# Data and methods + +## Identification strategy + +How will you measure the actual program effect? Will you rely on an RCT? Differences-in-differences? Regression discontinuity? Instrumental variables? How does your approach account for selection bias and endogeneity? How does your approach isolate the causal effect of the program on the outcome? + +Also briefly describe what kinds of threats to internal and external validity you face in your study. + +(**≈300 words**) + +## Data + +Given your measurement approach, limits on feasibility, and identification strategy, describe the data you will use. Will you rely on administrative data collected by a government agency or nonprofit? Will you collect your own data? If so, what variables will you measure, and how? Will you conduct a survey or rely on outside observers or do something else? What does this data look like? What variables does it (or should it) include? + +(**≈100 words**) + + +# Synthetic analysis + + +Generate a synthetic (fake) dataset in R with all the variables you'll need for the real life analysis. Analyze the data using your identification strategy. For instance: + +- If you're relying on observational data, close all the backdoors with matching or inverse probability weighting, don't adjust for colliders, and make a strong argument for isolation of the causal effect in the absence of treatment/control groups +- If you're doing an RCT, test the differences in means in the treatment and control groups (and follow all other best practices listed in the World Bank book, checking for balance across groups, etc.) +- If you're doing diff-in-diff, run a regression model with an interaction term to show the diff-in-diff +- If you're doing regression discontinuity, check for a jump in the outcome variable at the cutoff in the running variable +- If you're using instrumental variables, check the validity of your instrument and run a 2SLS model + +Include robustness checks to ensure the validity of your effect (i.e. if you're doing regression discontinuity, test different bandwidths and kernel types; etc.) + +(**As many words as you need to fully describe your analysis and results**) + + +# Conclusion + +What would the findings from this analysis mean for your selected program? What would it mean if you found an effect? What would it mean if you didn't find an effect? Why does any of this matter? (**≈75 words**) diff --git a/docs/projects/final-project/final-project.Rproj b/docs/projects/final-project/final-project.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/final-project/final-project.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/measurement/measurement.Rproj b/docs/projects/measurement/measurement.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/measurement/measurement.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/measurement/your-name_measurement.Rmd b/docs/projects/measurement/your-name_measurement.Rmd new file mode 100644 index 00000000..4ddb251c --- /dev/null +++ b/docs/projects/measurement/your-name_measurement.Rmd @@ -0,0 +1,185 @@ +--- +title: "Measurement" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +**Feel free to remove any/all of the placeholder text and instructions here!** + +# 1: Measurement and abstraction for full-day kindergarten + +Read this article about half-day vs. full-day kindergarten in Utah: . The article is 10 years old, and half-day kindergarten still remains standard practice in most Utah school districts. + +Pretend you are the administrator of the Optional Extended Day Kindergarten initiative. Based on the *Salt Lake Tribune* article (which provides hints throughout, and especially in one of the final paragraphs), and based on your own knowledge of educational outcomes, do the following: + +## Possible outcomes + +Make a list of two (2) possible outcomes of the full-day kindergarten program. + +- Outcome 1 +- Outcome 2 + +For each of the these outcomes, answer these questions: + +## Outcome 1: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: How would you specifically define this attribute? (i.e. if the attribute is "reduced crime", define it as "The percent change in crime in a specific neighborhood during a certain time frame" or something similar) +- Ideal measurement: How would you measure this attribute in an ideal world? +- Feasible measurement: How would you measure this given reality and given limitations in budget, time, etc.? +- Measurement of program effect: How would to connect this measure to people in the program? How would you check to see if the program itself had an effect? + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +## Outcome 2: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +# 2: Measurement and abstraction for your program + +Repeat this exercise for the program you've chosen for your final project. + +## Possible outcomes + +- List +- Things +- Here + +For each of the these outcomes, answer these questions: + +## Outcome 1: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + + +## Outcome 2: NAME OF IT HERE + +Using the concept of the "ladder of abstraction" that we discussed in class (e.g. identifying a witch, measuring poverty, etc.), make a list of all the possible attributes of the outcome: + +- List +- Lots +- Of +- Things +- Here + +Narrow this list down to 3-4 key attributes. Discuss how you decided to narrow the concepts and justify why you think these attributes capture the outcome. *(≈100 words)* + +*For each of these attributes*, answer these questions: + +### Attribute 1: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 2: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: + +### Attribute 3: NAME + +- Measurable definition: +- Ideal measurement: +- Feasible measurement: +- Measurement of program effect: diff --git a/docs/projects/problem-set-2/data/food_health_politics.csv b/docs/projects/problem-set-2/data/food_health_politics.csv new file mode 100755 index 00000000..d9499897 --- /dev/null +++ b/docs/projects/problem-set-2/data/food_health_politics.csv @@ -0,0 +1,3144 @@ 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West,1243.22905305789,62.62487119277361,0.22356213865453875,209.035191586782,0.037589496778777556,3,0.52173913,4,0.708340711882415,0,0,43,17152,564.6,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2020,AK,Anchorage,80039.7236440701,-9.024345496111076,0.27427207871838016,20527.212944541,0.07034058975053971,32,0.106308761,122.333333333333,0.41025021909821,204,0.677718348,4858,900589,718.4,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2050,AK,Bethel,11504.8634897179,-13.319050566948226,0.6762395515028449,4363.52791258193,0.2564819792265873,22,1.231251399,50.5,2.81055209260908,7,0.391761809,306,53731,993,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2060,AK,Bristol Bay,996.999998134377,129.64806215137548,0.9999999981287634,225.000001238685,0.22567703233569208,2,2.0898641590000002,1,1.11358574610245,0,0,26,2792,892.5,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 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Gateway,1062.59891684336,2.560116726779654,0.07884536000915338,268.15112329525,0.01989694466834236,4,0.290128382,8,0.581987487269024,12,0.870385145,260,41163,669.7,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2150,AK,Kodiak Island,1948.65920848546,37.65012022065088,0.14336809950599325,601.68911987084,0.0442678869828458,5,0.357500358,9,0.655403437226915,7,0.500500501,199,41993,675,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2164,AK,Lake and Peninsula,1628.68561954873,-0.1418990719369423,0.9985810052414041,491.751172434662,0.3015028647668069,1,0.613120785,8.5,5.44174135723431,0,0,40,4844,1121.3,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2170,AK,Matanuska-Susitna,23011.2553342344,12.603060785704479,0.2585679570114546,6285.84806275718,0.070631474383473,10,0.10216383,43.8333333333333,0.420000319391878,43,0.439304469,1666,295257,769.4,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 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Wales-Hyder,1758.79264788,26.47909797531034,0.31638651697787373,362.472778417292,0.06520467321771757,6,0,7,1.10288325193005,3,0,87,12725,936.3,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2220,AK,Sitka,1632.24976162452,0.9235659189988157,0.18379121288419323,400.871008837048,0.0451380485122225,4,0.449438202,3.16666666666667,0.358625896564741,4,0.449438202,195,26747,679.7,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2230,AK,Skagway,2.99995376171291,0,0.0030991257868935016,0,0,2,0,1,0.919117647058823,2,0,NA,NA,NA,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 +2240,AK,Southeast Fairbanks,3323.08447550762,62.63495454296213,0.472767744417075,796.609132877075,0.11333178729222862,3,0.432837974,6,0.87260034904014006,2,0.28855865000000003,149,20821,836.5,NA,93003,NA,246588,NA,0.37715947248041265,37410,NA,-0.15171054552532975 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Plata,7347.21871312946,-3.461050859326712,0.14312577849241168,1486.85702980879,0.02896437117327288,11,0.203745207,25.5,0.458443449652122,46,0.852025413,981,161815,582.6,15063,15300,28475,30722,0.5289903424056189,0.4980144521841026,2829,0.08811237928007021,0.09208384870776642 +8069,CO,Larimer,56628.0654703376,-15.806277852539063,0.18899330998343825,13413.4227582757,0.044766621360597066,37,0.114154547,111.75,0.328683237596068,252,0.777485021,6316,974852,611.1,83103,92170,161823,193897,0.5135425742941362,0.4753554722352589,9546,0.05252652589557727,0.04923232437840708 +8071,CO,Las Animas,6181.77712966353,0.006441304263104261,0.3986442980372431,1258.90761658752,0.08118318285854903,4,0.284656988,11.6666666666667,0.827247157815122,11,0.782806718,519,42528,812.2,3282,2614,6532,6693,0.5024494794856094,0.3905572986702525,1042,0.027097366809553047,-0.15568504407590017 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Blanco,572.227252070974,-0.30708158772290395,0.08584267207785387,119.154416124534,0.017874949913671466,1,0.149097957,9,1.37509549274255,5,0.745489787,163,19994,753.8,561,433,3311,3436,0.16943521594684385,0.1260186263096624,2349,-0.6390818483841739,-0.6836437718277066 +8105,CO,Rio Grande,1460.30068818733,109.76971292838162,0.12187453581933985,280.402362647086,0.02340196650367936,4,0.344619626,13.1666666666667,1.14702209832448,5,0.430774533,370,34905,770.3,2428,1985,5453,5488,0.44525949018888683,0.36169825072886297,1075,-0.08509077571978735,-0.19588192419825068 +8107,CO,Routt,5254.12612604418,-13.267505439248644,0.2234942416114756,1007.26221849621,0.04284581302889148,9,0.377121307,13,0.527426160337553,25,1.047559187,310,71536,521.9,7389,7487,13038,13772,0.5667280257708237,0.5436392680801626,2338,0.155545329038196,0.16976474005227993 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Parle,820.610127587625,-14.745497057620414,0.11304726926403429,175.683654928936,0.02420218417535969,2,0.290233638,5.91666666666667,0.881111938446265,3,0.435350457,251,20757,559.2,1974,1301,3974,3835,0.4967287367891293,0.33924380704041723,993,0.009058882737795648,-0.25893089960886573 +27075,MN,Lake,902.252555428612,-2.719257352640293,0.08303447040572537,136.017949070109,0.012517757138791552,2,0.187265918,8.75,0.823529411764706,8,0.74906367,432,32102,715,4043,3077,6797,6472,0.5948212446667648,0.4754326328800989,145,0.21082830660585555,0.022404202719406685 +27077,MN,Lake of the Woods,1665.97472109299,0,0.41186025243337204,313.60578867609,0.07752924318321137,1,0.255232261,4,1.0487676979549,2,0.510464523,143,11768,771.8,859,553,2220,2230,0.3869369369369369,0.24798206278026905,987,-0.20135135135135135,-0.4426008968609866 +27079,MN,Le 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York,2,0,1.2611350341420783e-06,0,0,1342,0.820159045,1325.91666666667,0.806649169918409,2553,1.560257855,30098,4912859,529.6,417861,515481,496293,591368,0.8419643234943874,0.8716755049309398,456546,0.6962842514401775,0.7720167476089339 +36063,NY,Niagara,37906.4053229453,-21.48038984530664,0.17511239633825304,7823.95477418199,0.03614353452079508,32,0.149865355,176.5,0.833498616345073,134,0.627561176,7100,640315,808.9,40862,32888,82720,86e3,0.4939796905222437,0.3824186046511628,16335,0.005621373307543531,-0.18994186046511624 +36065,NY,Oneida,38017.7392512735,-17.471593887045874,0.16186164413556614,7598.37467786852,0.03235030389337665,65,0.279124494,239.583333333333,1.03630491514916,162,0.695664123,7530,699532,758.1,37388,30749,80429,83876,0.46485720324758484,0.36660069626591635,17741,-0.05285407004936027,-0.21151461681529876 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+38063,ND,Nelson,3125.99999344716,0,0.9999999979037619,559.99999814534,0.1791426737509085,5,1.642036125,4.66666666666667,1.57657657657658,1,0.328407225,174,9085,844.6,766,536,1668,1694,0.4592326139088729,0.31641086186540734,489,-0.057553956834532405,-0.2886658795749705 +38065,ND,Oliver,1556.00071463087,2.6529137027006913,0.8429039624219231,354.914295795817,0.19226126532817822,0,0,0.333333333333333,0.17825311942959,0,0,42,5561,558,281,119,1010,1002,0.27821782178217824,0.1187624750499002,708,-0.40792079207920795,-0.7065868263473054 +38067,ND,Pembina,3425.07325993106,0.39203381578545166,0.46203605287077565,753.200521516746,0.10160535835919951,5,0.701459035,5,0.707313622860376,1,0.140291807,258,21384,679.2,1245,681,3226,3093,0.38592684438933667,0.22017458777885549,1523,-0.20086794792312457,-0.4924021985127708 +38069,ND,Pierce,840.863715553434,-0.20832322341941162,0.1929914426333335,222.836110186593,0.051144390678584575,1,0.227066303,3,0.703070072650574,3,0.68119891,194,13138,766,656,431,2162,2020,0.303422756706753,0.21336633663366336,1002,-0.37280296022201664,-0.49603960396039604 +38071,ND,Ramsey,1901.89550088048,-24.58616196535293,0.16608990488869793,403.70226488124,0.03525476070921666,3,0.259425804,10,0.866025807569066,11,0.951227949,411,34764,785.3,2162,1505,4971,5218,0.43492255079460873,0.2884246837868915,1711,-0.09997988332327501,-0.32790341126868533 +38073,ND,Ransom,888.716040522846,-1.2128033525710034,0.1628579880012545,232.042411360485,0.04252197386118472,1,0.183621006,4.91666666666667,0.909819886503824,3,0.550863019,239,16375,791.3,1341,836,2412,2317,0.5559701492537313,0.36081139404402246,373,0.13805970149253732,-0.16098403107466547 +38075,ND,Renville,1456.94041918568,-22.663565202868288,0.5898544207229474,316.591651846585,0.12817475783262552,1,0.386548125,1,0.392156862745098,2,0.77309625,87,7764,762.2,398,200,1272,1255,0.3128930817610063,0.1593625498007968,778,-0.35534591194968557,-0.6199203187250997 +38077,ND,Richland,6564.55920425541,-24.663881763845485,0.40221550176186566,1473.11849266247,0.09025908293992219,4,0.243427459,6.41666666666667,0.392384679671416,11,0.669425511,438,49100,664.9,3190,2064,7549,7460,0.4225725261624056,0.2766756032171582,2695,-0.13551463770035765,-0.36126005361930297 +38079,ND,Rolette,1302.22412828734,31.558843302905395,0.09343647329320083,285.53092251027,0.020487258557097654,5,0.342090859,15.5,1.05737089842418,6,0.410509031,394,43976,1056.6,3351,2097,4528,3662,0.7400618374558304,0.5726379027853632,887,0.49933745583038874,0.2422173675587111 +38081,ND,Sargent,838.758261364933,-12.507497605827703,0.21905412937188118,183.356463054689,0.04788625308296918,4,1.017552786,4,1.02827763496144,0,0,115,11673,667.4,1073,693,1987,1978,0.5400100654252642,0.35035389282103135,395,0.09914443885254148,-0.1996966632962588 +38083,ND,Sheridan,1077.57791675955,-0.7022384719135094,0.8157289301737698,178.195448559998,0.13489435924299623,1,0.754147813,1,0.75642965204236,0,0,31,3950,324.7,161,94,808,774,0.19925742574257427,0.12144702842377261,550,-0.5891089108910892,-0.710594315245478 +38085,ND,Sioux,1701.19911762784,0.32774649527505456,0.4096313791543078,604.532269782554,0.14556519859921838,1,0.226142017,4,0.895054822107854,1,0.226142017,143,13291,1376.8,900,758,1138,1177,0.7908611599297012,0.6440101954120646,502,0.5949033391915641,0.4265080713678845 +38087,ND,Slope,692.378853221123,0,0.9523780649534017,135.711460067277,0.18667326006503024,0,0,NA,NA,0,0,12,2294,363.6,83,42,434,427,0.1912442396313364,0.09836065573770492,319,-0.5944700460829493,-0.747072599531616 +38089,ND,Stark,4111.58680830113,-34.952524475932776,0.1699073022976623,1008.51857153766,0.041676043288468946,3,0.098775188,14,0.44873233116446,21,0.691426314,721,91043,659.4,2805,1745,11539,12115,0.2430886558627264,0.1440363186132893,7973,-0.4943235982320825,-0.6581097812628973 +38091,ND,Steele,1733.18060102447,-8.651800227834459,0.8775597979870734,371.468091510573,0.1880851096256066,3,1.534526854,1,0.509683995922528,0,0,60,5869,582.9,515,361,1028,984,0.5009727626459144,0.366869918699187,176,0.019455252918287924,-0.1788617886178862 +38093,ND,Stutsman,6953.20852921441,-0.013040667951560279,0.3295359492518678,1474.00767345703,0.06985818357616257,3,0.14198495,13.5,0.638962514199167,19,0.899238014,712,63401,762.4,3561,2484,9431,9938,0.37758456155232745,0.24994968806600926,4222,-0.22054925246527413,-0.42483397061783057 +38095,ND,Towner,781.604997319918,-63.763528125981495,0.34799866309880584,140.891620291969,0.0627300179394341,0,0,2,0.883782589482987,1,0.432900433,89,6859,636.7,511,305,1164,1137,0.43900343642611683,0.26824978012313105,428,-0.09278350515463918,-0.376429199648197 +38097,ND,Traill,1475.50212235851,-36.37327270834512,0.18168970845444032,357.598146919135,0.04403375777849219,7,0.866122247,5.66666666666667,0.70568700705687,7,0.866122247,295,24273,737.5,1784,1239,3841,3864,0.4644623795886488,0.32065217391304346,1024,-0.046602447279354364,-0.2650103519668737 +38099,ND,Walsh,2050.03849999438,0,0.18437256048155232,383.886131719846,0.034525238935142186,4,0.364630811,10.1666666666667,0.932379554903399,3,0.273473108,469,32948,824.9,2118,1166,5061,4543,0.4184943687018376,0.2566585956416465,1825,-0.13653428176249754,-0.401716927140656 +38101,ND,Ward,20557.4132129089,-17.024452112824893,0.3333184144776474,5382.88236048444,0.08727818987408903,9,0.129712902,28.1666666666667,0.401177420120591,48,0.691802145,1448,208803,689.3,8412,5792,25231,26861,0.3333993896397289,0.21562860652991325,12809,-0.3077166977131307,-0.4768623655113362 +38103,ND,Wells,1592.62620129381,0.21127655416570412,0.3785657716410292,262.690678464939,0.06244133074992608,6,1.43129771,4,0.976085895558809,3,0.715648855,174,12539,641.8,671,419,2359,2352,0.2844425604069521,0.17814625850340135,1374,-0.4133107248834252,-0.5841836734693877 +38105,ND,Williams,4762.93534945924,-0.4202662521530938,0.212650028996305,1145.8302707789,0.05115770474055273,4,0.124494242,17.9166666666667,0.521788935162264,28,0.871459695,697,96984,813.1,2288,1722,9600,12529,0.23833333333333334,0.13744113656317344,8311,-0.4998958333333334,-0.6633410487668608 +39001,OH,Adams,2025.71553314208,116.39640982565538,0.07095325860392575,499.599684869614,0.01749911330541555,4,0.142201998,31.75,1.13770738524385,15,0.533257492,1000,84280,989.5,3857,2293,10787,11063,0.3575600259571707,0.20726746813703337,6152,-0.26272364883656246,-0.5560878604356866 +39003,OH,Allen,19335.2763357741,-11.991764490870525,0.18184044479760464,4639.55637232608,0.04363314905649416,14,0.133282559,94.6666666666667,0.912520162197246,99,0.942498096,3293,314689,820.3,16869,12815,46458,44636,0.36310215678677515,0.2871000985751411,17043,-0.2568556545697189,-0.38182184783582757 +39005,OH,Ashland,1795.13717656564,-7.878431077514278,0.03378191491307025,353.057109693003,0.0066440299910235975,13,0.245121146,38.4166666666667,0.716034195680807,31,0.584519657,1641,159420,769.5,8083,5659,23826,24074,0.3392512381432049,0.2350668771288527,11510,-0.2997565684546294,-0.47810916341281046 +39007,OH,Ashtabula,20657.0305335266,21.933802765637044,0.2035235576768436,4913.64075887453,0.048411684669246675,15,0.151247794,98.0833333333333,0.99849674067589,86,0.867154021,3565,297520,921,22964,15191,41781,39809,0.5496278212584668,0.3815971262779773,7564,0.12144276106364138,-0.19000728478484769 +39009,OH,Athens,14901.0944427876,-4.857278977633073,0.23010785618215174,2136.33648132537,0.032990047119622126,11,0.169981302,50.25,0.759224005076602,59,0.911717893,1419,195119,834.8,17268,15552,26112,27941,0.6613051470588235,0.5566014101141692,4736,0.3504136029411764,0.16950001789484992 +39011,OH,Auglaize,2299.64571532761,11.35167766651258,0.050047785921948466,550.898334248435,0.011989343277295155,6,0.130887197,30,0.653680219636554,34,0.741694117,1461,137673,754.5,5643,3825,22838,22860,0.24708818635607321,0.1673228346456693,14305,-0.48861546545231627,-0.6257655293088363 +39013,OH,Belmont,10006.2012686262,-4.811430211454406,0.14213354074753126,1445.60067745558,0.02053410053203949,19,0.273534789,58.1666666666667,0.847009256427805,54,0.777414664,2596,208095,849.5,13826,8652,30876,30537,0.44779116465863456,0.28332842125945573,12077,-0.08394869801787797,-0.39548744146445297 +39015,OH,Brown,3237.49882761767,-27.640924671464983,0.07219147365690742,769.778040640245,0.017164920854485236,8,0.181340103,41.5,0.948376334011289,25,0.566687823,1507,132160,948.4,6923,4270,18955,19139,0.36523344763914534,0.22310465541564345,9987,-0.25048799788973886,-0.5218140968702649 +39017,OH,Butler,125412.067800483,11.630468386366069,0.3406733159494825,33912.1797588824,0.09212011995458777,43,0.114924711,260.75,0.690660782916641,272,0.726965613,9642,1121688,833.1,59282,56700,164020,168422,0.36143153273990974,0.33665435631924573,47741,-0.261821729057432,-0.2834605930341642 +39019,OH,Carroll,1704.27967843959,1.6915453953879718,0.059102499599097996,331.882167148881,0.01150929973466781,3,0.106432043,23.5,0.849325960461166,15,0.532160216,964,84327,816.5,5396,3124,12965,12807,0.41619745468569225,0.24392910127274148,5943,-0.13736984188198997,-0.46404310142890604 +39021,OH,Champaign,627.128366559511,53.5372370505427,0.01564028148139539,144.89734244789,0.003613670410451904,10,0.255571458,26,0.671019691847111,19,0.48558577000000003,1165,117516,820.6,7826,4488,20016,17597,0.39098721023181454,0.2550434733193158,7826,-0.2011390887290168,-0.4447348979939762 +39023,OH,Clark,33638.012155897,26.28538805224631,0.2431669388786262,8342.50633462953,0.060307420027249675,19,0.139139095,112.416666666667,0.834038154308806,125,0.915388784,5158,409181,944.9,30022,22666,62136,59620,0.48316595854255184,0.38017443810801743,11645,-0.01760654049182442,-0.1953203622945321 +39025,OH,Clermont,78008.0457785454,-5.179268022679588,0.3952516215225012,21341.0765059403,0.10813109096406266,26,0.128993848,133.833333333333,0.659206063053922,132,0.654891844,5026,603567,783.7,29334,26096,93392,96455,0.3140954257323968,0.27055103416100773,39864,-0.35541588144594827,-0.41329117204914206 +39027,OH,Clinton,7472.72354197123,84.40486475588018,0.17775270080806918,1962.88437652891,0.04669087479849929,8,0.191227441,34.4166666666667,0.821360953335561,31,0.741006334,1300,125699,893.9,5534,3943,17648,18100,0.3135766092475068,0.2178453038674033,9523,-0.3516545784224841,-0.5261325966850828 +39029,OH,Columbiana,21395.0415270525,3.1972127215956747,0.19839431688367598,4199.25415743456,0.03893931025708738,16,0.151391859,90.25,0.870424844480879,76,0.71911133,3883,316230,891.7,19351,12273,45078,45261,0.42927814011269355,0.271160601842646,18813,-0.12039132170903771,-0.41565586266321997 +39031,OH,Coshocton,6861.14462190056,7.297967508495382,0.18593383978484485,1637.03508677489,0.044362892246142115,8,0.219082046,24.5833333333333,0.671639072546127,21,0.575090371,1232,109882,860,6841,3908,15555,14961,0.4397942783670845,0.261212485796404,6473,-0.0945676631308261,-0.4326582447697347 +39033,OH,Crawford,10125.7319365623,306.44398686365577,0.23126557501741052,2413.46884638735,0.05512216440680043,7,0.164783427,36.4166666666667,0.865353388937734,33,0.776836158,1669,127499,897.5,7207,4518,19192,18702,0.37552105043768236,0.24157844080846969,8747,-0.22686536056690287,-0.46770398887819487 +39035,OH,Cuyahoga,250036.420635505,1.5540685551724975,0.19532233696124662,55522.2482268326,0.0433726224741334,294,0.23336519,1159.5,0.928081117251183,1102,0.874722581,40696,3780327,799.4,420953,383974,611512,583230,0.6883806041418647,0.6583577662328756,204080,0.3867103180313714,0.34991341323320135 +39037,OH,Darke,3130.78430107329,46.600403428378584,0.059117134029594405,704.607241115653,0.013304768615639513,11,0.210744118,19.9166666666667,0.38465500148068,29,0.55559813,1809,156613,813.9,6610,4395,24807,25e3,0.26645704841375417,0.1758,15303,-0.4488652396500987,-0.61212 +39039,OH,Defiance,5001.03592042594,-20.108922709898376,0.1281101498687384,1312.38713226828,0.033619057106547126,5,0.129836406,26.6666666666667,0.698848646854308,27,0.701116593,1136,115476,771.4,7438,5282,17744,17795,0.4191839495040577,0.2968249508288845,6196,-0.14072362488728585,-0.3481876931722394 +39041,OH,Delaware,46411.8620546816,0.16098201752611316,0.2664071891735544,14164.7618255116,0.0813066792881835,17,0.089893344,69.5,0.353756178008073,166,0.877782067,3048,567496,615.2,36131,39584,96330,100101,0.3750752621197965,0.39544060498896116,16076,-0.23719505865254858,-0.16059779622581194 +39043,OH,Erie,21523.2982946061,-0.11146739149728452,0.279236864705122,4797.96181259465,0.062247328229409433,11,0.145065147,55.3333333333334,0.736726714331998,78,1.028643773,2824,227558,854,20969,15692,38262,36730,0.5480372170822225,0.42722570106180235,3609,0.11274894150854631,-0.0982575551320446 +39045,OH,Fairfield,30776.2722720533,-14.179639629379468,0.21057139133565028,8253.92402983093,0.056473384806856576,14,0.093096867,73.4166666666667,0.481114744501312,99,0.658327847,3616,450737,731.7,28831,24150,70079,70542,0.4114071262432398,0.3423492387513822,19013,-0.1612894019606444,-0.2695273737631482 +39047,OH,Fayette,896.913255141699,-26.912170870829904,0.030896081816799828,178.453714732736,0.006147217179908232,7,0.243055556,31.4166666666667,1.09557353419817,32,1.111111111,1076,86112,1018.3,4075,2672,10677,10817,0.38166151540694954,0.24701858186188408,5091,-0.22300271611875994,-0.47064805398909126 +39049,OH,Franklin,274663.114038607,-0.35491563704248225,0.23608372775177794,74009.1072706459,0.06361373274745345,265,0.215203432,984.583333333334,0.778623422785072,1107,0.898981885,27670,3701048,826.7,325654,335961,541751,554711,0.6011137958213275,0.6056505099051578,143633,0.21728247848181176,0.2589330299921941 +39051,OH,Fulton,6459.18563773524,11.95647205319405,0.15127607002049837,1673.09129159467,0.03918430117557427,7,0.16439643,30.8333333333333,0.725251289771213,25,0.587130108,1247,127483,763.7,8790,5981,20757,20693,0.4234715999421882,0.2890349393514715,7438,-0.1315700727465433,-0.3594452230222781 +39053,OH,Gallia,3690.43821212106,53.593321558786954,0.11930038831451024,877.500529417395,0.02836686265653957,5,0.164489917,40.0833333333333,1.3354433894164,31,1.019837484,1100,91016,973.1,3418,2564,9534,12588,0.3585063981539752,0.20368605020654593,7003,-0.2615900985945039,-0.5563234826819192 +39055,OH,Geauga,18310.2758896316,6.824383031423184,0.19606458886626477,4573.60366538371,0.0489736871085857,12,0.127260194,48.75,0.518286200297682,58,0.615090938,2399,282136,615.9,19295,17165,50125,48736,0.3849376558603491,0.3522037097833224,12412,-0.21564089775561102,-0.2546782665791202 +39057,OH,Greene,47231.7808722227,-11.955391119730221,0.2923247131155744,11082.1138256558,0.06858889681850186,16,0.097668172,92.75,0.56292295086942,132,0.805762422,4236,492952,723.7,31028,28023,81075,79633,0.3827073697193956,0.35190184973566235,19483,-0.2177613320999075,-0.2446598771865935 +39059,OH,Guernsey,6254.85549601462,7.879187881878144,0.15603201776173373,1492.69057825596,0.03723627555706239,12,0.303106845,45.0833333333333,1.15411856061576,38,0.959838343,1412,118448,944,7226,4286,16403,16156,0.44052917149301957,0.2652884377321119,6878,-0.09662866548802046,-0.42572418915573157 +39061,OH,Hamilton,236682.57274106,8.129983360658942,0.2949778690997714,59024.9993365188,0.07356295111322002,165,0.204554499,689.5,0.852182489411061,681,0.844252205,23747,2418013,844.9,208508,207587,402572,395e3,0.5179396480629552,0.5255367088607595,37615,0.0493203700207665,0.09522784810126589 +39063,OH,Hancock,12032.6738623908,0.42622366847948834,0.16090334388476907,2883.67010916752,0.03856101881692814,11,0.146010592,47.9166666666667,0.6315461127513,62,0.822968794,2147,226489,753.8,12192,9419,34940,35216,0.3489410417859187,0.26746365288505225,14358,-0.2829135661133371,-0.4077124034529759 +39065,OH,Hardin,3035.02565478082,70.70560753618899,0.09467295697737912,834.817396611359,0.02604084461324346,6,0.188702982,25,0.794306411641355,20,0.629009938,938,95223,888.3,4487,2870,12147,12014,0.3693916193298757,0.23888796404195106,5671,-0.2346258335391455,-0.4720326285999667 +39067,OH,Harrison,381.456459222245,0,0.024045414726566124,84.4438713291311,0.005322987350550372,4,0.257350576,17.0833333333333,1.11604712440931,7,0.450363508,614,46651,901.3,2895,1663,6999,6956,0.4136305186455208,0.23907418056354227,3358,-0.1487355336476639,-0.4827487061529615 +39069,OH,Henry,3638.57213560143,-10.88228305846539,0.1289587855963647,826.733247293576,0.02930119607632735,4,0.143179296,16.3333333333333,0.591166286631197,19,0.680101657,845,83781,718.6,5513,3690,13937,13671,0.3955657602066442,0.26991441737985516,5446,-0.18641027480806488,-0.3983614951356887 +39071,OH,Highland,2456.47577881237,30.666552630454973,0.05635540569438093,606.97451721226,0.013924947055731034,8,0.185852015,44.5,1.03418624648493,27,0.627250552,1457,129399,907.1,5772,3436,17161,17048,0.3363440358953441,0.20154856874706711,9569,-0.3065089447001923,-0.5612975129047395 +39073,OH,Hocking,5072.30291778712,-0.6250867037770558,0.1726447555407461,1210.54613434102,0.041203067880906066,4,0.139251523,18.9166666666667,0.667490002352388,19,0.661444735,885,85798,849.5,6010,3713,12442,12513,0.4830413116862241,0.2967313993446815,4569,-0.01125221025558587,-0.36514025413569884 +39075,OH,Holmes,875.830753574264,0,0.020672963073555775,203.65901079427601,0.004807133333198225,12,0.273360973,17.0833333333333,0.388823136683661,14,0.318921135,938,131309,720,2568,1766,11355,10823,0.2261558784676354,0.16317102466968492,6812,-0.5279612505504183,-0.6294003511041301 +39077,OH,Huron,7389.88101039639,-0.7625085481316884,0.12393722554584224,1750.43775707465,0.02935695429971237,10,0.17031713,45,0.770033710364654,48,0.817522226,1780,176014,873.2,10673,7080,24077,24332,0.4432861236865058,0.2909748479368732,8850,-0.0892137724799601,-0.3637185599210916 +39079,OH,Jackson,1427.97091190759,-7.716355161395317,0.042978808484803316,351.635706009765,0.010583467449503838,9,0.274825944,43.3333333333333,1.33312823668154,24,0.732869183,1197,98214,1048.8,4965,3142,12916,13239,0.38440693713223906,0.2373291034066017,6476,-0.20795912047073395,-0.48916081275020773 +39081,OH,Jefferson,15086.3098312204,6.5706132142425835,0.21641839405557964,3156.53611997812,0.04528161528609104,15,0.221585369,62.75,0.940723195010794,47,0.694300824,2849,203043,972.7,14960,9483,32327,31346,0.4627710582485229,0.30252663816754927,11185,-0.05472205896000254,-0.35682383717220695 +39083,OH,Knox,8644.80621597503,-9.919029871607377,0.14190190929195237,2061.50700745947,0.03383902114967696,11,0.179835532,38.8333333333333,0.638559103715153,40,0.65394739,1761,182908,773.4,10154,7959,27618,27768,0.36765877326381347,0.2866248919619706,10604,-0.24328336592077626,-0.38187842120426396 +39085,OH,Lake,78510.8091236878,-12.008558514485559,0.34129050527378946,18356.8896736766,0.07979833887731579,38,0.165772368,167.166666666667,0.731217977318391,180,0.785237534,7202,688070,756.5,55219,45056,114264,112790,0.4832580690331163,0.3994680379466265,17571,-0.01689946089757055,-0.1557850873304371 +39087,OH,Lawrence,9196.4498974999,3.7622779843821665,0.14726100716573098,2246.15088933978,0.035967187979820334,11,0.178504779,52.6666666666667,0.865203487098611,38,0.616652873,2312,184638,1006.9,10454,6849,25252,25949,0.4139870109298273,0.2639408069675132,11391,-0.15511642642166962,-0.438976453813249 +39089,OH,Licking,34313.6544184969,29.110630146538323,0.2060979171281317,8352.91889443824,0.05017009162264998,20,0.118070724,114.25,0.663480412083764,121,0.714327882,4690,508498,819.3,32264,26360,77423,79399,0.41672371259186547,0.3319941057192156,22986,-0.14646810379344644,-0.2894998677565208 +39091,OH,Logan,3675.85483587678,5.546642718870282,0.08015732992884077,735.226811618416,0.01603268375459933,12,0.263695695,37.75,0.835824200154987,36,0.791087086,1500,136357,892.2,6789,4537,20535,21007,0.3306062819576333,0.21597562717189508,11049,-0.31818845872899926,-0.5259675346313133 +39093,OH,Lorain,81349.4002787049,5.179070879735363,0.26994451837263866,20268.4945967616,0.06725764410451958,53,0.174218319,230.75,0.753186558516802,185,0.608120546,8959,912185,780.2,78112,64958,138513,136654,0.563932627262423,0.4753464955288539,388,0.14451351136716406,-0.00283928754372359 +39095,OH,Lucas,72292.056245336,-2.4547015510941295,0.1636251739876102,18579.4754111658,0.04205261344944332,71,0.16311115,427.583333333333,0.988659415598428,373,0.856907872,13244,1304553,867,129229,107363,200850,191684,0.643410505352253,0.5601041297134868,33261,0.30435150609907896,0.1735199599340581 +39097,OH,Madison,12460.4750746298,81.45736738032616,0.2868763687033452,2988.47940704293,0.06880348583038862,5,0.113848536,29.25,0.673668209769916,22,0.500933558,1191,131269,847.7,6700,4662,17240,16754,0.388631090487239,0.27826190760415426,6657,-0.20388631090487241,-0.39733794914647247 +39099,OH,Mahoning,63368.7198877127,-9.215398184825197,0.2653375926427216,14187.3058284619,0.0594051068300034,42,0.180099827,206.083333333333,0.895983328116124,201,0.861906314,9255,699582,861.2,74298,56188,117571,112827,0.6319415502122122,0.49800136492151703,3380,0.27724523904704396,0.029957368360410186 +39101,OH,Marion,22122.5139050891,-3.730498890088528,0.332664379559542,4652.72422657498,0.06996472574209381,12,0.182592818,51.5,0.791139240506329,44,0.669506999,2197,196937,908,11933,7748,26433,25648,0.45144327166799075,0.3020898315658141,8815,-0.07585215450383992,-0.34369151590767316 +39103,OH,Medina,42335.4737522633,-4.849767931145197,0.24566228995348108,11760.8320975946,0.06824520168973029,21,0.119298525,99.5,0.561445878310132,118,0.670344091,4280,527025,698,37841,31582,88849,89360,0.42590237369019346,0.3534243509400179,22229,-0.1308174543326318,-0.24875783348254255 +39105,OH,Meigs,3888.99798410945,-22.072640329623347,0.1636095071144068,893.858511637231,0.037604480927102696,2,0.085722858,26.1666666666667,1.13153153153153,16,0.685782864,837,70058,909,3911,2157,9979,9410,0.3919230383805993,0.2292242295430393,4712,-0.18749373684737947,-0.5007438894792774 +39107,OH,Mercer,1408.26781235503,-56.69066803667526,0.0345045281608034,353.737066975533,0.008667052162873843,7,0.171438368,21,0.513334474076609,26,0.636771081,1242,122666,748.3,4609,3335,21161,21315,0.21780634185529985,0.1564625850340136,13865,-0.5480837389537356,-0.6504808820079755 +39109,OH,Miami,14209.8607399238,-9.120510797561453,0.13862467309156343,3770.2764153775,0.0367810315042778,10,0.096246391,55.75,0.532580555794381,78,0.750721848,3123,311615,785.1,15731,12832,50281,51467,0.31286171714961913,0.24932481007247362,23479,-0.3563771603587837,-0.4561952318961665 +39111,OH,Monroe,837.792184608278,1.2281288376161599,0.05721842539327129,203.482333665329,0.013897167986977804,1,0.069132389,15.1666666666667,1.06732348111658,6,0.414794331,540,43443,816,3007,1647,6743,6686,0.44594394186563846,0.2463356266826204,3134,-0.07904493548865488,-0.46874065210888416 +39113,OH,Montgomery,142425.887582158,-9.96145087533696,0.26614050109437487,34594.9539228404,0.06464497802094056,84,0.157564207,414,0.779310253953494,477,0.894739606,17954,1599109,876.2,128983,117661,254266,249560,0.5072758449812401,0.47147379387722393,3105,0.030656871150684717,-0.012441897740022412 +39115,OH,Morgan,945.824959082027,-0.2867612655155917,0.06282881354337896,255.00806518197,0.016939555279790755,2,0.13474365,10.6666666666667,0.720525983968297,2,0.13474365,494,44516,816.3,2772,1711,6042,6290,0.45878848063555117,0.2720190779014308,2604,-0.06024495200264807,-0.41399046104928455 +39117,OH,Morrow,166.316313211074,0,0.004775499273870101,40.6220128428831,0.0011663942585604015,6,0.170687301,20.9166666666667,0.597004985348403,14,0.398270369,964,105108,785.1,5780,3711,15813,16186,0.36552203882881174,0.2292722105523292,8011,-0.24549421362170365,-0.4949338934881997 +39119,OH,Muskingum,16744.9335222579,10.733062188629411,0.1945411334695483,4316.63722777894,0.05015030355018867,16,0.186441073,87.6666666666667,1.0185744605041,64,0.745764292,2931,257978,888.5,16327,10926,35954,36217,0.4541080269232909,0.3016815307728415,12662,-0.06950547922345218,-0.3496148217687826 +39121,OH,Noble,3788.43845414501,-0.023890301061844775,0.25868476982895255,377.551213289321,0.02578021258377064,4,0.278493351,8.58333333333333,0.600485052003171,8,0.556986702,407,43264,636.7,2082,1201,5755,5875,0.3617723718505647,0.20442553191489363,3240,-0.24604691572545617,-0.5514893617021276 +39123,OH,Ottawa,11156.6439043025,20.8544521846711,0.2693020156488969,2396.83008999563,0.057855317418065794,9,0.218690771,27.25,0.67058765626538,36,0.874763085,1401,123055,729.6,11214,8136,21936,21742,0.5112144420131292,0.3742066047281759,4253,0.0406181619256018,-0.19561217919234664 +39125,OH,Paulding,2557.60411142829,-11.064624525493295,0.13039686506721168,639.377173286096,0.03259800006557031,5,0.263310338,15.9166666666667,0.843714109020231,10,0.526620675,547,57148,762.5,3435,2068,8912,8842,0.385435368043088,0.2338837367111513,4291,-0.20343357271095153,-0.4852974440171907 +39127,OH,Perry,1410.53161663492,-62.01755427260866,0.03911840969091242,420.357840601766,0.011657824632585445,8,0.223388808,32.5833333333333,0.906931648435253,20,0.558472021,1037,107882,874.3,6857,4072,14673,14647,0.46732092959858246,0.278009148631119,5906,-0.04368568118312549,-0.40322250290161815 +39129,OH,Pickaway,7596.61635594995,6.382618072588187,0.13638939200599573,1058.81178106792,0.019009870750617976,8,0.140656868,41.0833333333333,0.713685978169605,36,0.632955904,1557,170215,825.3,9335,6325,23443,23814,0.39819988909269294,0.2656000671873688,10157,-0.18675084246896728,-0.42651381540270433 +39131,OH,Pike,4088.46418982961,-38.42663276679182,0.1424105398944446,1055.91657329915,0.036779984440389775,3,0.10617214,38,1.34943181818182,19,0.672423556,1005,84861,960.9,5490,3443,11233,11513,0.48873853823555596,0.29905324415877704,4226,-0.004006053592094716,-0.3670633197255277 +39133,OH,Portage,42909.8652637024,29.387350178055467,0.2658290861899925,9936.53801587208,0.06155742518459462,17,0.105014764,100.166666666667,0.618614427200096,124,0.765990042,4259,486103,799.3,38082,31463,74029,73968,0.51442002458496,0.42535961496863506,7515,0.04885923084196736,-0.10159798831927325 +39135,OH,Preble,314.004876838997,7.177774967915782,0.007428551616725739,62.2625759507064,0.0014729731712965792,5,0.120232771,28.5,0.690959342497636,22,0.529024191,1379,124547,877.7,6005,4323,19619,20475,0.30608084000203883,0.21113553113553113,11053,-0.3668382690249248,-0.5398290598290598 +39137,OH,Putnam,5727.09859938069,14.013148546052786,0.16600766976957854,1435.39444760099,0.0416068421577724,5,0.146322905,12.75,0.374383368569415,22,0.643820784,885,102338,669.9,4238,2874,18126,18387,0.23380778991503917,0.15630608582150432,11830,-0.5144543749310383,-0.6433893511720238 +39139,OH,Richland,31594.1102907102,18.64296948183541,0.25381892179723,6525.62133347414,0.05242515632435541,22,0.180413639,111.083333333333,0.917232970293487,96,0.787259517,4182,365884,836.5,21785,15629,55954,53739,0.38933767022911675,0.2908316120508383,20176,-0.20145119205061307,-0.37544427696830984 +39141,OH,Ross,10703.8210533486,24.950920917041852,0.13711596963195072,2024.87404203539,0.02593864062865585,13,0.168483262,64.6666666666667,0.83982683982684,53,0.686893298,2448,231610,929,13895,9905,28961,28955,0.47978315665895516,0.3420825418753238,7928,-0.023721556576085046,-0.2738041788982905 +39143,OH,Sandusky,6092.05572779065,-1.0881078742666666,0.09996153399498967,1426.36719860869,0.02340455497848336,12,0.199405108,48.75,0.821675375021069,36,0.598215324,1966,179810,841.1,14035,9733,28192,27491,0.49783626560726446,0.3540431413917282,6312,0.019296254256526646,-0.22960241533592807 +39145,OH,Scioto,14240.6569918688,5.733480505818903,0.17913001411173476,3207.76141557381,0.04034970773939056,12,0.155323721,77.6666666666667,1.02074790593348,58,0.750731316,2941,232245,1001.6,14432,8841,30023,29618,0.48069813143256834,0.29850091160780606,10901,-0.019684908237018295,-0.3680532108852725 +39147,OH,Seneca,7975.8375470328,31.820176484695622,0.14055577666812583,1798.68205385204,0.031697630696132524,11,0.197596508,38.0833333333333,0.688008478914121,28,0.502972929,1711,167175,788.9,10962,7237,24633,23481,0.44501278772378516,0.3082066351518249,7322,-0.08374944180570776,-0.3118265831949235 +39149,OH,Shelby,8219.96478161615,8.598383622661881,0.1663186124196457,2153.4043508468,0.0435708951469316,7,0.143000143,34.1666666666667,0.702685286112882,30,0.612857756,1287,146964,756.6,6065,4143,23129,23110,0.2622249124475766,0.1792730419731718,14005,-0.45981235678152965,-0.6060147122457811 +39151,OH,Stark,108254.356229243,4.515678627788044,0.2882278791787846,25550.2494407573,0.06802769389901993,62,0.165009475,281.166666666667,0.75256326527699,316,0.841016033,12238,1125795,784.1,86314,66581,176620,170868,0.4886989015966482,0.3896633658730716,29764,-0.0036462461782357236,-0.17419294426106702 +39153,OH,Summit,165394.718098392,-12.803077230037847,0.3052796574601029,39083.1451575484,0.07213827202790131,85,0.156843063,418.166666666667,0.773952742303658,444,0.819274352,17202,1626763,817.6,147146,129922,259389,249937,0.5672792601074063,0.5198189943865854,20391,0.14821754199291415,0.08158455930894587 +39155,OH,Trumbull,45541.4575972812,-1.3465150355613027,0.2165423637133459,9739.87468923328,0.04631154993168854,45,0.219324966,190.833333333333,0.945538626698047,141,0.687218228,7622,615514,852.3,59446,42130,98703,94073,0.6022714608471881,0.44784369585322037,6022,0.22188788587986186,-0.06401411669660795 +39157,OH,Tuscarawas,17960.7690232658,2.2870650117173623,0.19399849887954246,4118.85469971702,0.044488720266542305,18,0.193990602,80.3333333333333,0.8692202265022,78,0.840625943,3070,278468,787.2,17516,11895,39855,40088,0.4394931627148413,0.2967222111355019,14210,-0.0979550871910676,-0.35447016563560163 +39159,OH,Union,11122.956139362,51.58599969089877,0.21267602560921609,2699.25907392284,0.05161107215913652,5,0.09297828,22.25,0.401211749643868,27,0.502082713,1101,161400,767.6,8546,7530,24947,26533,0.342566240429711,0.2837975351449139,10071,-0.29666893814887557,-0.3795650699129386 +39161,OH,Van Wert,4648.77005034307,22.55225256490474,0.16173010194625206,1058.08638323191,0.036810686864455544,3,0.105403696,16.0833333333333,0.567073314058717,16,0.562153046,997,85469,808.7,3923,2667,13586,13584,0.2887531282202267,0.1963339222614841,7661,-0.40556455174444284,-0.563972320376914 +39163,OH,Vinton,6470.94777706147,204.52886466734296,0.48164851336520065,1526.73945281047,0.11363896187647712,0,0,10.5,0.812630601346645,7,0.528940608,438,39533,1007.3,2382,1332,5352,5393,0.44506726457399104,0.2469868347858335,2467,-0.07772795216741402,-0.4574448358983868 +39165,OH,Warren,75605.2082272299,8.636168223856021,0.35546636808559706,21670.3380497734,0.10188552538058798,30,0.135343027,103.166666666667,0.454352609921769,130,0.58648645,4747,666028,705,31907,33036,108008,114254,0.29541330271831723,0.2891452378034905,42911,-0.39551699874083396,-0.37557547219353365 +39167,OH,Washington,5778.64024941314,11.407378129237156,0.09353880425739164,1193.89503671359,0.01932556956705607,13,0.212373189,61.75,1.01880877742947,47,0.767810759,2220,183687,848.6,11333,7841,28798,28992,0.3935342732134176,0.2704539183222958,12060,-0.19404125286478224,-0.4159768211920529 +39169,OH,Wayne,18588.2530210001,2.0861226097174703,0.16231446927174378,4175.79015349844,0.036463413844729654,28,0.242346608,68.1666666666667,0.585272316190149,71,0.614521755,3213,347124,742.9,18932,14670,49356,48550,0.3835805170597293,0.30216271884654994,16952,-0.21310478969122293,-0.34916580844490214 +39171,OH,Williams,5340.36729667119,0.13464595569970197,0.14187257044448195,1323.42684869434,0.03515825005829499,6,0.160896731,29.25,0.790177486019937,27,0.72403529,1188,111795,770.8,7045,4287,17286,16938,0.4075552470207104,0.25309953949698905,7419,-0.16302209880828417,-0.43800921006021964 +39173,OH,Wood,41776.0575311933,14.283118440940907,0.3329087843554228,8860.08479092771,0.07060503626583985,17,0.131182962,79.6666666666667,0.611789882172852,117,0.902847442,3273,388502,762.6,31596,26440,61967,62287,0.5098842932528604,0.4244866505049208,5294,0.04194167863540277,-0.08499365838778555 +39175,OH,Wyandot,1018.68396102051,1.2464682306358195,0.045044614681428695,239.861406371445,0.010606296987461641,8,0.357893795,16.1666666666667,0.730928052566537,15,0.671050866,771,67078,806.4,3962,2484,10254,10396,0.38638580066315587,0.23893805309734514,4862,-0.2040179442168909,-0.46767987687572143 +40001,OK,Adair,1651.05631843157,7.476319910914668,0.07278826956009214,482.871223533051,0.021287802474674912,3,0.135220409,22.6666666666667,1.02573385223399,9,0.405661228,724,66395,1046,2110,1374,6472,6468,0.32601977750309025,0.212430426716141,3379,-0.34796044499381956,-0.5224180581323439 +40003,OK,Alfalfa,3316.19527714096,-3.297283503707253,0.5877694571323928,483.979364819341,0.08578152513635963,2,0.345423143,5.33333333333333,0.915279446255935,2,0.345423143,189,17485,776.8,278,216,1817,2256,0.15299944964226747,0.09574468085106383,1715,-0.694001100715465,-0.760195035460993 +40005,OK,Atoka,5732.81939501008,-3.014824375130337,0.4042320825701651,1178.13727233637,0.0830727169888852,3,0.217454335,14.9166666666667,1.08013516775284,7,0.507393447,501,41445,979.3,1241,795,4775,5002,0.2598952879581152,0.15893642542982808,3273,-0.4802094240837696,-0.6543382646941223 +40007,OK,Beaver,2157.19728383167,-2.8392442822075252,0.3827532441149166,505.469190234387,0.08968580380312047,1,0.182282173,3,0.557413600891862,1,0.182282173,143,16438,669.2,243,176,2300,2237,0.10565217391304348,0.07867679928475638,1811,-0.788695652173913,-0.8095663835493966 +40009,OK,Beckham,2642.98126105615,-15.600750453801101,0.11948918400724037,721.606159604652,0.03262381480196447,4,0.168840488,21.25,0.943647586482526,15,0.63315183,725,71046,988,1413,958,6909,7529,0.2045158488927486,0.12724133351042635,5329,-0.5909683022145029,-0.7077965201221942 +40011,OK,Blaine,6728.66848126208,-3.316926581289977,0.5633985163913656,1221.44867003288,0.10227318680673868,5,0.504184733,10.25,1.06294721559681,2,0.201673893,381,29530,958.5,991,711,3815,3793,0.2597640891218873,0.18745056683364092,2173,-0.4804718217562254,-0.5728974426575271 +40013,OK,Bryan,8293.33089867481,0.07945620666266427,0.19552364434823677,2015.45612652255,0.047516411885197805,5,0.112394911,44.8333333333333,0.983769629678391,30,0.674369465,1508,133438,943.8,3533,2793,12721,13775,0.27772973822812674,0.20275862068965517,7656,-0.4445405235437465,-0.5557894736842106 +40015,OK,Caddo,8867.08070555166,-10.10665319866982,0.29956353734971825,2214.7214281397,0.07482166986958447,4,0.136439608,33.8333333333333,1.14468089905381,11,0.375208923,1051,88202,1032.7,3151,2418,8811,9336,0.3576211553739644,0.2589974293059126,4055,-0.2847576892520713,-0.43434018851756645 +40017,OK,Canadian,26958.3946472009,-20.35345084875317,0.23332318957946444,6805.27892485591,0.05889925589060083,11,0.084888333,72.3333333333333,0.529790329983691,80,0.617369696,2781,388942,778.5,10533,11666,46148,55250,0.22824391089538007,0.21114932126696834,28303,-0.5435121782092398,-0.5122714932126697 +40019,OK,Carter,4759.17780255905,4.155114234299733,0.1000731291410108,1191.18651928327,0.025047553867638198,9,0.1843469,57.8333333333333,1.19106461268089,30,0.614489666,1872,146038,1079.9,4907,4002,17120,18533,0.28662383177570094,0.21593913559596395,9749,-0.4267523364485981,-0.5260346409108076 +40021,OK,Cherokee,10474.5807313356,0.4882579181652936,0.2229250799441463,2474.41317803058,0.05266165488391641,6,0.124118243,54.3333333333333,1.11567419575633,26,0.537845721,1450,144677,934.1,6137,5455,14288,16487,0.4295212765957447,0.33086674349487477,4537,-0.14095744680851063,-0.2751865105840965 +40023,OK,Choctaw,7356.59511252383,18.42576507495974,0.48382736682169214,1834.88843944032,0.12067664843408879,1,0.06595871,15.0833333333333,1.01332437576979,6,0.395752259,686,45198,1152.2,1494,1064,5066,5419,0.2949072246348204,0.19634618933382542,3138,-0.4101855507303593,-0.5790736298210002 +40025,OK,Cimarron,998.540116734018,-0.19475734706081432,0.40345055221576487,251.598297538837,0.10165587779346948,1,0.435919791,3,1.38760407030527,3,1.307759372,100,6830,968,115,70,1197,1077,0.0960735171261487,0.06499535747446611,892,-0.8078529657477025,-0.8282265552460539 +40027,OK,Cleveland,48390.8452446858,-21.009583554121754,0.18920781703069658,11644.9496539733,0.045531659807133,49,0.181543341,182.916666666667,0.656427003522875,224,0.829912415,5707,814808,760.7,34701,38790,93720,109326,0.3702624839948784,0.3548103836232918,23679,-0.25947503201024325,-0.21659074694034358 +40029,OK,Coal,1618.1589139954,1.3502810134135694,0.273106989703865,411.940209613178,0.06952577377437603,3,0.516617875,7.58333333333333,1.3419453783991,1,0.172205958,254,17223,1028.2,648,411,2357,2393,0.274925753075944,0.17175094024237358,1481,-0.45014849384811195,-0.6188884245716674 +40031,OK,Comanche,40133.4984593286,-3.8165363402937107,0.3234016540099647,10222.0057589352,0.08237043110231591,12,0.095974663,105.75,0.865838082137945,92,0.735805747,3044,374973,907.6,12517,11439,30174,32504,0.4148273347915424,0.3519259168102387,7714,-0.17034533041691519,-0.2373246369677578 +40033,OK,Cotton,5173.78488190306,1224.9521527967074,0.8354246539484999,1301.40233142797,0.21014085765024543,1,0.162601626,4,0.6732873253661,2,0.325203252,237,18263,1004.1,657,424,2453,2602,0.2678353037097432,0.16295157571099156,1630,-0.46432939258051364,-0.6264411990776326 +40035,OK,Craig,2597.30362409594,0.011576785512637753,0.17281945732223966,660.340837530891,0.043937776134865325,1,0.068577699,15,1.02564102564103,5,0.342888493,588,44054,992,1746,1249,5298,5778,0.32955832389580975,0.21616476289373485,3030,-0.3408833522083805,-0.5244029075804777 +40037,OK,Creek,14638.016827244,10.988808450930588,0.20921315516234798,3479.1387830641,0.0497254246010848,6,0.084947333,64.8333333333333,0.909150400119662,37,0.523841885,2498,212278,957.9,7114,5834,26078,28786,0.2727969936344812,0.20266796359341346,15705,-0.45440601273103765,-0.54557771138748 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Mills,2001.02443678865,0.6253232115378244,0.5486768403588292,469.391995846178,0.12870633283415905,1,0.265886732,2,0.549450549450549,0,0,106,11310,660.4,272,151,1674,1758,0.16248506571087215,0.08589306029579068,1395,-0.6750298685782556,-0.7935153583617747 +40131,OK,Rogers,17566.426554087,-24.278242026282008,0.20213366957122145,4382.23165681146,0.05042554118648478,5,0.05567,54.9166666666667,0.598442415128334,34,0.378555921,2561,269793,858.9,9146,7895,36677,40834,0.24936608773890995,0.19334378214233236,22998,-0.5012678245221802,-0.5632071313121418 +40133,OK,Seminole,1914.04503081855,-12.011483943208571,0.07511361081620556,542.941132241443,0.02130684923638031,5,0.196687778,27.25,1.08104891498393,16,0.629400889,1066,76443,1125.4,2597,2067,7449,8032,0.34863740099342194,0.2573456175298805,3545,-0.30272519801315617,-0.44135956175298807 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Jacinto,2148.83499161658,339.08380383075144,0.08144462521287825,482.710872844717,0.018295590996237,5,0.184508653,20.3333333333333,0.733869900506491,4,0.147606923,885,81295,815.3,2410,2034,9610,10305,0.25078043704474506,0.19737991266375546,6016,-0.48855359001040577,-0.5837942746239689 +48409,TX,San Patricio,13590.5606190166,24.05527536740809,0.20971792819913276,3846.56641746601,0.059356928854175824,8,0.119554659,67.9166666666667,1.00386766191215,55,0.82193828,1890,200531,900.9,7854,7825,20064,21513,0.39144736842105265,0.363733556454237,5179,-0.20633971291866027,-0.24073815832287448 +48411,TX,San Saba,1871.97661117252,0,0.30532973596028706,397.930665482931,0.06490469180931838,3,0.53361793,5,0.841184387617766,4,0.711490573,184,17443,698.1,323,293,2256,2354,0.14317375886524822,0.12446898895497026,1732,-0.7012411347517731,-0.735768903993203 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Zandt,5077.79334969102,100.38808408893125,0.09657455162119896,1034.49875549101,0.019675131811008384,5,0.094500095,34.75,0.639315610339435,27,0.51030051,1875,158784,864,3083,2792,19081,21689,0.16157434096745454,0.12872884872516022,15644,-0.6659504218856453,-0.7212872884872517 +48469,TX,Victoria,24368.6095116949,-30.837584387843975,0.28076699171240654,6526.39682017365,0.07519496756850956,6,0.06587543,78.0833333333333,0.844445405748357,71,0.779525916,2404,273737,796.2,8795,8843,28827,31032,0.3050959170222361,0.284963908223769,12410,-0.3777361501370243,-0.3999097705594225 +48471,TX,Walker,22834.2124816692,13.279773585936377,0.3364850574213348,2781.32706531735,0.04098564809415348,9,0.128960151,42.5833333333333,0.595704400052226,34,0.487182794,1487,209838,777.3,5283,6085,15066,19683,0.35065710872162487,0.30915002794289487,6793,-0.2844816142307181,-0.34512015444800087 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1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Yes + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-2/your-name_problem-set-2.Rmd b/docs/projects/problem-set-2/your-name_problem-set-2.Rmd new file mode 100644 index 00000000..aa8e2b8c --- /dev/null +++ b/docs/projects/problem-set-2/your-name_problem-set-2.Rmd @@ -0,0 +1,330 @@ +--- +title: "Problem set 2: Regression" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(modelsummary) + +# Load penguins data +penguins <- read_csv("data/penguins.csv") +``` + +# Task 1: Penguins + +Between 2007 and 2009, researchers collected data on penguins in three islands in the Palmer Archipelago in Antarctica: Biscoe, Dream, and Torgersen. The `penguins` dataset has data for 342 penguins from 3 different species: Chinstrap, Gentoo, and Adélie. It includes the following variables: + +- `species`: The penguin's species (Chinstrap, Gentoo, and Adélie) +- `island`: The island where the penguin lives (Biscoe, Dream, and Torgersen) +- `bill_length_mm`: The length of the penguin's bill, in millimeters (distance from the penguin's face to the tip of the bill) +- `bill_depth_mm`: The depth of the penguin's bill, in millimeters (height of the bill; distance from the bottom of the bill to the top of the bill) +- `flipper_length_mm`: The length of the penguin's flippers, in millimeters +- `body_mass_g`: The weight of the penguin, in grams +- `sex`: The sex of the penguin +- `year`: The year the observation was made + +## Exploratory analysis + +What is the relationship between penguin weight and bill depth? This plot shows some initial trends: + +```{r plot-penguin-weight-depth} +ggplot(data = penguins, + aes(x = bill_depth_mm, y = body_mass_g)) + + geom_point() +``` + +Make a new plot that colors these points by species. What can you tell about the relationship between bill depth and penguin weight? + +```{r plot-penguin-weight-depth-by-species} + +``` + +Add a `geom_smooth()` layer to the plot and make sure it uses a straight line (hint: include `method="lm"` in the function). What does this tell you about the relationship between bill depth and body mass? + +```{r plot-penguin-weight-depth-by-species-with-lines} + +``` + +Change the plot so that there's a single line for all the points instead of one line per species. How does the slope of this single line differ from the slopes of the species specific lines? ***Why??*** + +```{r plot-penguin-weight-depth-by-species-with-one-line} + +``` + +What is the relationship between flipper length and body mass? Make another plot with `flipper_length_mm` on the x-axis, `body_mass_g` on the y-axis, and points colored by `species`. + +```{r} + +``` + +Facet the plot by island (`island`) + +```{r} +ggplot(data = penguins, + aes(x = flipper_length_mm, y = body_mass_g, color = species)) + + geom_point() + + facet_wrap(vars(island)) +``` + +Tell a story about the relationship between flipper length and weight in these three penguin species. + +SAY SOMETHING HERE + +Tell a story about the distribution of penguins across the three islands. + +SAY SOMETHING HERE + + +## Models + +### Predicting weight with bill depth + +Does bill depth predict penguin weight? + +```{r model-depth-weight} +model_depth_weight <- lm(body_mass_g ~ bill_depth_mm, + data = penguins) + +tidy(model_depth_weight, conf.int = TRUE) +``` + +```{r model-details-depth-weight} +glance(model_depth_weight) +``` + +INTERPRET THE COEFFICIENTS AND RESULTS HERE. What happens as bills get taller? Is the association statistically significant? How confident are you about these results? (Hint: look at the $R^2$) + + +### Predicting weight with bill depth and flipper length + +RUN A MODEL that predicts weight with bill depth and flipper length (i.e. body_mass_g ~ bill_depth_mm + flipper_length_mm) + +```{r model-weight-depth-flipper} + +``` + +```{r model-details-weight-depth-flipper} + +``` + +INTERPRET THESE RESULTS. Did the size of the bill depth coefficient change after controlling for flipper length? + + +### Predicting weight with bill depth, flipper length, and species + +RUN A MODEL that predicts weight with bill depth, flipper length, and species. + +```{r model-weight-depth-flipper-species} + +``` + +```{r model-details-weight-depth-flipper-species} + +``` + +INTERPRET THESE RESULTS. What do the species coefficients mean? Did the bill depth coefficient change after controlling for both flipper length and species? + +## All models at the same time + +```{r all-penguin-models} +# Right now there's only one model here. Add the others from above (whatever you +# called them) like so: +# modelsummary(list(model_depth_weight, some_other_model, yet_another_model, etc)) + +modelsummary(list(model_depth_weight)) +``` + +--- + +# Task 2: Food access and mortality + +```{r load-food-mortality-data} +# Make sure you look at this dataset by clicking on its name in the Environment +# panel in RStudio. Sort some of the different columns and look around to get a +# feel for what's in the data +food_health <- read_csv("data/food_health_politics.csv") +``` + +We're interested in looking at the relationships between food access, mortality, and politics. Do do this, we look at data from three different sources: + +- The USDA's [Food Environment Atlas](https://www.ers.usda.gov/data-products/food-environment-atlas/documentation/) +- The CDC's ["Compressed Mortality File 1999-2015 Series 20 No. 2U, 2016"](http://wonder.cdc.gov/cmf-icd10.html) +- 2016 election results (found all over the internet) + +Each row in the dataset is a US county. The main outcome we care about is `mortality_rate`, or the number of deaths per 100,000 people in a county between 2013-2015. Other interesting variables in the dataset include: + +- `pct_low_access_pop`: Percent of the county's population with low access to food +- `pct_children_low_access`: Percent of the county's children with low access to food +- `grocery_stores_per_1000`: Number of grocery stores in a county (per 1,000 residents) +- `snap_stores_per_1000`: Number of stores that accept SNAP (food stamps) in a county (per 1,000 residents) +- `fastfood_per_1000`: Number of fast food stores in a county (per 1,000 residents) +- `per_dem_2012`: Percent of the county that voted for Obama in 2012 +- `per_dem_2016`: Percent of the county that voted for Clinton in 2016 + + +## Exploratory analysis + +### How related are mortality rate and access to food? + +```{r cor-mortality-food} +# Notice how this is a little different from what was in the complete example +# with SAT scores. It's not possible to calculate correlations when there is +# missing data. The `use = "complete.obs"` argument here tells R to ignore any +# rows where either mortality_rate or pct_low_access_pop is missing +cor(food_health$mortality_rate, food_health$pct_low_access_pop, + use = "complete.obs") +``` + +SAY SOMETHING HERE. This is backwards from what you might expect, since it trends downward (i.e. the mortality rate is lower in counties with a greater proportion of the population with low access to food). Why might that be? Is there really a relationship? + +```{r plot-mortality-food, warning=FALSE} +# Use warning=FALSE in the chunk options to remove the warning about missing data +ggplot(food_health, aes(x = pct_low_access_pop, y = mortality_rate)) + + geom_point() + + geom_smooth(method = "lm") + + labs(x = "% of county with low access to food", + y = "Mortality rate (per 100,000 residents)") +``` + + +### How related are mortality rate and the prevalence of fast food restaurants? + +```{r cor-mortality-fastfood} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-fastfood} + +``` + + +### How related are mortality rate and the prevalence of SNAP stores per 1,000 residents? + +```{r cor-mortality-snap} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-snap} + +``` + + +### How related are mortality rate and the percent of the county that voted for Democrats in 2016? + +```{r cor-mortality-2016} + +``` + +SAY SOMETHING HERE + +```{r plot-mortality-2016} + +``` + + +## Models + +### Does access to food predict mortality? + +SAY SOMETHING HERE + +```{r model-mortality-food} +model_mortality_food <- lm(mortality_rate ~ pct_low_access_pop, + data = food_health) + +tidy(model_mortality_food, conf.int = TRUE) +``` + +```{r model-details-mortality-food} +glance(model_mortality_food) +``` + +INTERPRET THE COEFFICIENTS AND RESULTS HERE. What happens as the percent of low access to food goes up by 1%? Is that significant? Again, this is backwards from what you'd expect---as the percent of low access goes up, mortality drops. Why might that be? How much do you trust this finding? (Hint: look at the R2 value) + +### Do more SNAP stores per person predict mortality? + +```{r model-mortality-snap} + +``` + +```{r model-details-mortality-snap} + +``` + +SAY SOMETHING HERE. What happens as the proportion of SNAP stores goes up? Do you trust this number more or less than low access to food? + +### Do election results and access to food and SNAP stores predict mortality? + +RUN A MODEL THAT PREDICTS MORTALITY WITH A BUNCH OF COVARIATES (i.e. mortality_rate ~ pct_low_access_pop + snap_stores_per_1000 + per_dem_2016 + anything else you want to throw in) + +```{r model-mortality-lots-of-things} + +``` + +```{r model-details-mortality-lots-of-things} + +``` + +SAY SOMETHING HERE. Interpret the different coefficients. How predictive is this model (i.e. what's the R2)? Do you believe this model? + +### Mortality, contolling for state differences + +RUN A MODEL with some number of plausible independent/explanatory variables. Include `state` as one of them + +```{r model-mortality-state} +# Add other explanatory variables here +model_with_state <- lm(mortality_rate ~ pct_low_access_pop + state, + data = food_health) + +# This table is 50+ rows long! While it might be interesting to see changes in +# intercept in relation to Alaska (the omitted state here), like how Alabama's +# mortality rate is 137 higher than Alaska's while DC's is 84 lower, it's not +# super helpful. Controlling for state does capture some of the state-specific +# reasons for varying mortality though, so it's good to include. We just don't +# really need to see all those coefficients. To remove them from this table of +# results, filter them out. The "!" in R means "not", so here we're only looking +# at rows that don't start with "state" +tidy(model_with_state, conf.int = TRUE) %>% + filter(!str_starts(term, "state")) +``` + +```{r model-state-mortality-lots-of-things} + +``` + +SAY SOMETHING ABOUT THIS MODEL + + +## All models at the same time + +PUT ALL THE MODEL RESULTS IN THE SAME SIDE-BY-SIDE TABLE HERE + +```{r everything-together} +# Right now there are only two models here. Add the others from above (whatever +# you called them) like so: +# modelsummary(list(model_mortality_food, some_other_model, yet_another_model, etc)) + +# Also, by default, modelsummary will include all the state coefficients, which +# we don't want. We can omit specific coefficients with the `coef_omit` +# argument. The ^ character means it'll omit coefficients that *start with* +# "state". Without ^, it would omit any coefficient where the characters "state" +# appeared anywhere in the name, which might be too greedy + +modelsummary(list(model_mortality_food, model_with_state), + coef_omit = "^state") +``` diff --git a/docs/projects/problem-set-3/barrel-dag-observational.png b/docs/projects/problem-set-3/barrel-dag-observational.png new file mode 100644 index 00000000..2b7066da Binary files /dev/null and b/docs/projects/problem-set-3/barrel-dag-observational.png differ diff --git a/docs/projects/problem-set-3/barrel-dag-rct.png b/docs/projects/problem-set-3/barrel-dag-rct.png new file mode 100644 index 00000000..fb822ac2 Binary files /dev/null and b/docs/projects/problem-set-3/barrel-dag-rct.png differ diff --git a/docs/projects/problem-set-3/data/barrels_observational.csv b/docs/projects/problem-set-3/data/barrels_observational.csv new file mode 100644 index 00000000..73cd55a2 --- /dev/null +++ b/docs/projects/problem-set-3/data/barrels_observational.csv @@ -0,0 +1,1242 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,212.73,Barrel,1,25811,No home garden,0,3,81.1 +2,258.76,No barrel,0,39479,Home garden,1,7,65.1 +3,156.49,Barrel,1,13297,No home garden,0,7,75.9 +4,254.84,No barrel,0,28259,No home garden,0,2,70.6 +5,194.78,Barrel,1,21479,No home garden,0,5,66.7 +6,201.81,Barrel,1,28906,Home garden,1,8,75.3 +7,210.42,No barrel,0,7041,No home garden,0,3,66.3 +8,255.56,No barrel,0,29434,No home garden,0,4,71.3 +9,187.88,Barrel,1,24779,Home garden,1,8,70 +10,252.21,No barrel,0,29741,Home garden,1,9,68.4 +11,174.36,Barrel,1,16931,No home garden,0,7,70.5 +12,183.78,Barrel,1,10357,No home garden,0,8,74.4 +13,202.02,Barrel,1,16071,No home garden,0,6,81 +14,185.85,Barrel,1,14977,No home garden,0,6,73 +15,211.61,Barrel,1,13053,No home garden,0,3,81.7 +16,208,Barrel,1,24206,No home garden,0,4,70.3 +17,181.79,No barrel,0,14641,No home garden,0,8,58.7 +18,213.09,Barrel,1,15519,No home garden,0,3,78.6 +19,174.12,No barrel,0,6782,No home garden,0,9,62.6 +20,231.34,No barrel,0,19185,No home garden,0,5,66.1 +21,219.84,No barrel,0,26319,Home garden,1,7,69.9 +22,192.17,Barrel,1,35468,Home garden,1,7,75.2 +23,236.49,Barrel,1,35299,No home garden,0,3,81.2 +24,183.51,No barrel,0,8066,No home garden,0,8,70.9 +25,179.93,No barrel,0,9509,No home garden,0,6,70.3 +26,188.89,Barrel,1,21281,No home garden,0,2,69 +27,265.28,No barrel,0,20160,No home garden,0,2,72.6 +28,266.37,No barrel,0,28510,Home garden,1,7,71.5 +29,142.15,Barrel,1,3815,No home garden,0,6,65 +30,223.17,No barrel,0,11933,No home garden,0,4,71.4 +31,265.78,No barrel,0,36989,Home garden,1,5,63 +32,203.82,No barrel,0,13489,No home garden,0,5,73.2 +33,250.57,No barrel,0,17570,No home garden,0,2,68.6 +34,225.84,No barrel,0,17197,No home garden,0,3,72.7 +35,261.62,No barrel,0,37644,Home garden,1,6,66.4 +36,257.22,No barrel,0,33476,Home garden,1,7,70.9 +37,233.64,No barrel,0,24009,No home garden,0,1,64 +38,204.67,Barrel,1,10880,No home garden,0,4,81.1 +39,271.29,No barrel,0,31316,Home garden,1,6,71.6 +40,260.6,No barrel,0,34542,Home garden,1,5,72.5 +41,233.32,No barrel,0,14983,No home garden,0,4,70.5 +42,192.14,Barrel,1,27877,Home garden,1,9,66.2 +43,233.46,Barrel,1,27994,No home garden,0,5,80.8 +44,189.38,No barrel,0,15527,No home garden,0,2,68.7 +45,171.08,Barrel,1,13715,No home garden,0,8,75 +46,268.69,No barrel,0,28308,No home garden,0,2,72.1 +47,222.04,No barrel,0,26454,No home garden,0,5,64 +48,256.28,No barrel,0,29906,No home garden,0,4,72 +49,213.61,No barrel,0,18501,Home garden,1,9,69.2 +50,248.19,No barrel,0,26720,No home garden,0,5,73.5 +51,270.18,No barrel,0,35343,Home garden,1,6,69.1 +52,216.79,No barrel,0,12211,No home garden,0,6,70.1 +53,235.35,Barrel,1,28904,Home garden,1,7,77.5 +54,175.73,Barrel,1,13592,No home garden,0,6,74.2 +55,210.69,No barrel,0,12990,No home garden,0,4,71.6 +56,184.29,Barrel,1,9363,No home garden,0,7,74.2 +57,239.13,No barrel,0,27521,Home garden,1,7,67.1 +58,224.67,Barrel,1,24539,No home garden,0,3,73.9 +59,250.85,No barrel,0,26410,No home garden,0,4,69.6 +60,166.68,Barrel,1,12062,No home garden,0,6,71.4 +61,235.72,Barrel,1,32672,No home garden,0,4,72.5 +62,207.25,Barrel,1,34827,Home garden,1,6,72.4 +63,205.15,Barrel,1,24811,No home garden,0,3,75.4 +64,186,No barrel,0,13646,No home garden,0,6,66.1 +65,223.82,No barrel,0,20140,No home garden,0,3,62.2 +66,229.3,Barrel,1,24714,No home garden,0,4,69.6 +67,219.04,No barrel,0,11316,No home garden,0,8,71.1 +68,287.82,No barrel,0,23572,No home garden,0,4,73.8 +69,253.42,No barrel,0,29730,No home garden,0,5,69.4 +70,206.44,No barrel,0,12860,No home garden,0,6,67.7 +71,213.55,No barrel,0,13761,No home garden,0,5,63.3 +72,221.17,Barrel,1,25221,No home garden,0,4,68.1 +73,227.28,No barrel,0,31993,Home garden,1,5,68.4 +74,179.57,Barrel,1,31952,No home garden,0,5,60.7 +75,254.44,No barrel,0,36695,Home garden,1,5,65.1 +76,223,No barrel,0,16829,No home garden,0,1,61.9 +77,212.64,No barrel,0,26067,Home garden,1,7,65.7 +78,224.06,No barrel,0,23897,No home garden,0,7,69.2 +79,234.41,No barrel,0,34248,Home garden,1,7,69.2 +80,257.09,No barrel,0,28608,Home garden,1,7,72 +81,126.53,Barrel,1,4832,No home garden,0,7,60.6 +82,244.96,No barrel,0,24637,Home garden,1,6,68.1 +83,252.02,No barrel,0,29531,Home garden,1,6,66.5 +84,214.61,No barrel,0,18565,No home garden,0,5,67.2 +85,219.13,No barrel,0,19108,No home garden,0,1,71.8 +86,245.27,No barrel,0,30574,Home garden,1,6,71.9 +87,229.19,No barrel,0,20286,No home garden,0,4,65.7 +88,263.65,No barrel,0,16218,No home garden,0,4,69.7 +89,182.68,No barrel,0,18107,No home garden,0,7,67.5 +90,218.32,No barrel,0,23129,Home garden,1,8,71.1 +91,189.43,Barrel,1,17230,Home garden,1,9,74.9 +92,187.1,Barrel,1,24724,Home garden,1,7,65.1 +93,247.13,No barrel,0,12219,No home garden,0,2,77 +94,217.41,No barrel,0,27721,Home garden,1,6,60.8 +95,244.46,No barrel,0,18977,No home garden,0,4,74.8 +96,217.75,Barrel,1,25067,Home garden,1,7,74.5 +97,199.82,Barrel,1,27990,Home garden,1,6,73.9 +98,193.69,No barrel,0,16333,No home garden,0,6,66 +99,267.4,No barrel,0,26412,No home garden,0,6,70.3 +100,121.75,Barrel,1,6261,No home garden,0,5,66.9 +101,218.11,No barrel,0,22827,No home garden,0,3,62.8 +102,270.05,No barrel,0,28279,No home garden,0,4,67.8 +103,191.1,Barrel,1,18408,No home garden,0,6,76.8 +104,178.38,No barrel,0,11176,No home garden,0,6,62.2 +105,175.22,No barrel,0,10682,No home garden,0,6,62.5 +106,250.71,No barrel,0,25144,No home garden,0,4,69.3 +107,239.01,No barrel,0,22087,No home garden,0,5,69.3 +108,226.17,Barrel,1,33313,Home garden,1,8,77.9 +109,221.65,No barrel,0,26079,No home garden,0,5,69 +110,212.91,No barrel,0,21691,No home garden,0,5,66.1 +111,182.32,Barrel,1,24941,Home garden,1,9,62.4 +112,218.28,Barrel,1,28018,Home garden,1,8,71.4 +113,230.27,No barrel,0,26331,Home garden,1,8,71.9 +114,257.66,No barrel,0,32150,No home garden,0,4,68.1 +115,210.18,Barrel,1,27143,No home garden,0,5,76 +116,166.36,Barrel,1,15679,Home garden,1,9,69.6 +117,240.31,Barrel,1,34956,No home garden,0,3,66.8 +118,206.07,Barrel,1,23506,No home garden,0,4,78.7 +119,218.62,No barrel,0,21556,No home garden,0,4,70.7 +120,200.36,Barrel,1,11430,No home garden,0,2,75.8 +121,195.36,Barrel,1,19677,No home garden,0,4,66.3 +122,205.18,Barrel,1,28299,No home garden,0,4,65.8 +123,185.46,Barrel,1,14878,No home garden,0,5,71 +124,234.73,No barrel,0,19757,No home garden,0,5,78.1 +125,251.71,No barrel,0,24519,No home garden,0,5,70 +126,194.99,No barrel,0,27526,No home garden,0,6,57.9 +127,225.89,No barrel,0,22271,No home garden,0,6,68.4 +128,235.78,No barrel,0,17550,No home garden,0,3,71.4 +129,216.38,No barrel,0,22228,No home garden,0,3,62 +130,242.48,Barrel,1,18875,No home garden,0,2,82.2 +131,207.6,Barrel,1,28731,No home garden,0,3,64.5 +132,216.38,No barrel,0,19544,No home garden,0,7,62.7 +133,250.36,Barrel,1,28653,No home garden,0,4,80.9 +134,223.57,No barrel,0,14885,No home garden,0,7,69.1 +135,281.43,No barrel,0,27255,No home garden,0,5,82.2 +136,233.91,No barrel,0,22252,No home garden,0,5,67.4 +137,156.53,Barrel,1,16299,No home garden,0,3,54 +138,227,No barrel,0,28339,No home garden,0,4,63.4 +139,214.42,Barrel,1,31862,Home garden,1,6,71.2 +140,189.05,Barrel,1,25688,No home garden,0,5,71.5 +141,178.81,Barrel,1,23795,Home garden,1,9,72.1 +142,243.03,No barrel,0,26763,No home garden,0,5,76.2 +143,241.5,No barrel,0,20645,No home garden,0,6,68.3 +144,212.11,No barrel,0,11961,No home garden,0,4,70.7 +145,187.78,No barrel,0,17118,No home garden,0,7,69.8 +146,228.93,No barrel,0,28364,Home garden,1,6,68.2 +147,153.46,Barrel,1,7939,No home garden,0,7,67.8 +148,227.48,Barrel,1,32363,No home garden,0,2,73.4 +149,183.06,Barrel,1,20559,No home garden,0,3,68.6 +150,213.13,No barrel,0,22450,No home garden,0,7,66.8 +151,213.43,Barrel,1,21992,No home garden,0,4,78.7 +152,264.03,No barrel,0,27979,No home garden,0,2,71.8 +153,170.94,No barrel,0,6885,No home garden,0,7,66.4 +154,171.81,Barrel,1,30342,Home garden,1,6,68 +155,223.55,No barrel,0,18034,No home garden,0,5,71.6 +156,164.64,Barrel,1,3635,No home garden,0,4,71.4 +157,245.53,No barrel,0,13369,No home garden,0,2,74.4 +158,170.86,Barrel,1,20765,No home garden,0,7,64 +159,174.32,Barrel,1,20211,No home garden,0,5,74.9 +160,174.87,No barrel,0,6049,No home garden,0,6,67.2 +161,217.44,No barrel,0,28028,No home garden,0,6,69.5 +162,168.98,No barrel,0,24006,Home garden,1,8,62.1 +163,193.86,No barrel,0,22052,No home garden,0,4,61.7 +164,219.74,No barrel,0,27177,No home garden,0,6,69.6 +165,186,Barrel,1,20355,Home garden,1,8,76.3 +166,145.88,Barrel,1,9577,No home garden,0,9,68.7 +167,242,No barrel,0,34602,No home garden,0,4,69.9 +168,235.19,No barrel,0,24962,No home garden,0,5,68.2 +169,168.35,No barrel,0,7522,No home garden,0,9,72.9 +170,256.56,No barrel,0,30832,No home garden,0,3,67.5 +171,278.48,No barrel,0,33357,Home garden,1,7,73.9 +172,261.39,No barrel,0,28891,No home garden,0,4,70.1 +173,191.91,Barrel,1,7664,No home garden,0,7,79.2 +174,254.93,No barrel,0,22879,No home garden,0,1,71.6 +175,199.93,Barrel,1,32797,Home garden,1,9,70.9 +176,151.87,Barrel,1,6317,No home garden,0,3,69.9 +177,240.35,No barrel,0,38750,No home garden,0,4,63.2 +178,215.35,No barrel,0,10549,No home garden,0,6,70.8 +179,244.16,No barrel,0,16835,No home garden,0,2,71.9 +180,261.26,No barrel,0,29641,No home garden,0,5,64.1 +181,170.42,No barrel,0,1950,No home garden,0,7,68 +182,218.08,Barrel,1,21646,No home garden,0,4,76.4 +183,197.67,Barrel,1,31386,No home garden,0,5,75.5 +184,217.84,No barrel,0,23409,No home garden,0,5,68.3 +185,292.06,No barrel,0,36306,No home garden,0,3,76.1 +186,195.83,No barrel,0,14235,No home garden,0,8,71.7 +187,191.54,Barrel,1,19422,No home garden,0,3,72.3 +188,187.77,No barrel,0,19659,No home garden,0,5,58.6 +189,217.56,Barrel,1,24669,No home garden,0,5,76 +190,175.36,Barrel,1,14662,No home garden,0,4,67.3 +191,220.23,Barrel,1,24369,No home garden,0,4,73.7 +192,287.74,No barrel,0,36826,Home garden,1,7,73.4 +193,211.1,No barrel,0,17097,No home garden,0,5,65.9 +194,219.79,No barrel,0,14804,No home garden,0,5,77.9 +195,184.13,Barrel,1,20895,No home garden,0,7,68.1 +196,195.77,Barrel,1,23453,No home garden,0,3,61.3 +197,170.6,Barrel,1,15292,No home garden,0,3,63.9 +198,190.45,Barrel,1,11943,No home garden,0,4,70.4 +199,287.96,No barrel,0,39000,Home garden,1,4,74.5 +200,222.4,Barrel,1,24622,Home garden,1,7,75.5 +201,190.43,Barrel,1,12524,No home garden,0,4,83 +202,167.46,No barrel,0,7235,No home garden,0,9,68.3 +203,231.78,No barrel,0,19168,No home garden,0,6,67.1 +204,278.05,No barrel,0,28649,Home garden,1,8,76.8 +205,224.18,No barrel,0,17615,No home garden,0,3,73.4 +206,183.79,Barrel,1,24905,Home garden,1,8,64.3 +207,228.78,No barrel,0,29426,Home garden,1,6,65.1 +208,209.46,No barrel,0,22186,No home garden,0,5,60.7 +209,254.34,No barrel,0,24699,Home garden,1,8,70.3 +210,182.66,Barrel,1,16278,No home garden,0,8,66.1 +211,219.11,Barrel,1,30939,Home garden,1,8,80.7 +212,225.08,No barrel,0,28699,No home garden,0,6,62.9 +213,217.1,No barrel,0,22377,No home garden,0,5,63.1 +214,191.22,Barrel,1,25072,No home garden,0,5,72 +215,200.23,No barrel,0,17516,No home garden,0,7,70.3 +216,222.2,No barrel,0,24901,Home garden,1,9,69.9 +217,137.33,Barrel,1,3797,No home garden,0,7,71.2 +218,164.75,Barrel,1,12596,No home garden,0,4,70.2 +219,212.63,Barrel,1,29474,Home garden,1,6,76.2 +220,158.09,Barrel,1,20795,Home garden,1,8,68.1 +221,216.8,Barrel,1,21396,No home garden,0,5,79.9 +222,201.3,Barrel,1,11609,No home garden,0,7,86 +223,250.41,No barrel,0,26493,No home garden,0,4,73.6 +224,179.99,Barrel,1,12809,No home garden,0,7,80.2 +225,185.57,Barrel,1,13605,No home garden,0,7,75.5 +226,217.07,No barrel,0,26145,No home garden,0,5,67.3 +227,137.34,Barrel,1,572,No home garden,0,9,70 +228,268.45,No barrel,0,28862,No home garden,0,4,73.6 +229,246.05,No barrel,0,28305,No home garden,0,4,71.4 +230,202.51,No barrel,0,22778,Home garden,1,7,71.3 +231,210.98,No barrel,0,28042,No home garden,0,6,57.5 +232,219.92,No barrel,0,20065,No home garden,0,3,73.5 +233,190.16,No barrel,0,8463,No home garden,0,6,64.7 +234,210.05,Barrel,1,19207,No home garden,0,3,74.1 +235,182.9,No barrel,0,22067,Home garden,1,8,60.3 +236,232.13,No barrel,0,12730,No home garden,0,3,75.3 +237,244.1,No barrel,0,23102,No home garden,0,5,76.9 +238,236.51,No barrel,0,25148,Home garden,1,6,69.1 +239,233.59,No barrel,0,29420,No home garden,0,5,67.6 +240,167.92,Barrel,1,27732,No home garden,0,5,62.1 +241,237.27,No barrel,0,26237,No home garden,0,4,69.4 +242,240.59,No barrel,0,16245,No home garden,0,2,73.1 +243,228.03,No barrel,0,20156,No home garden,0,4,72.7 +244,245.57,No barrel,0,12116,No home garden,0,3,79.2 +245,274.72,No barrel,0,27499,No home garden,0,4,79.4 +246,236.42,Barrel,1,29061,No home garden,0,3,76.2 +247,172.59,Barrel,1,16866,No home garden,0,8,62.7 +248,200.29,No barrel,0,14483,No home garden,0,7,67.6 +249,186.47,Barrel,1,20120,No home garden,0,7,69.2 +250,200.91,No barrel,0,17426,No home garden,0,7,59.6 +251,179.23,No barrel,0,10322,No home garden,0,6,63.3 +252,198.61,No barrel,0,10334,No home garden,0,6,74.7 +253,270.99,No barrel,0,31526,Home garden,1,5,67.6 +254,220.12,No barrel,0,14850,No home garden,0,5,73.3 +255,225.37,No barrel,0,13115,No home garden,0,3,68.9 +256,233.38,Barrel,1,29775,No home garden,0,5,76.8 +257,252.06,No barrel,0,24220,No home garden,0,5,71.1 +258,210.19,No barrel,0,17341,No home garden,0,4,60.3 +259,206.69,No barrel,0,23242,No home garden,0,6,64.5 +260,285.18,No barrel,0,38900,Home garden,1,7,67.2 +261,224.32,No barrel,0,12636,No home garden,0,5,84.8 +262,210.92,No barrel,0,25900,Home garden,1,7,62.2 +263,258.89,No barrel,0,30876,Home garden,1,6,72.5 +264,274.52,No barrel,0,38559,Home garden,1,6,69.1 +265,192.86,Barrel,1,11182,No home garden,0,6,78.7 +266,241.94,No barrel,0,25847,No home garden,0,4,72.6 +267,220.7,No barrel,0,16846,No home garden,0,2,65.2 +268,230.96,No barrel,0,21089,No home garden,0,5,68.7 +269,205.02,No barrel,0,11424,No home garden,0,4,67.3 +270,250.6,Barrel,1,34542,No home garden,0,3,71.6 +271,241.77,No barrel,0,22464,Home garden,1,7,70.7 +272,232.26,No barrel,0,11423,No home garden,0,3,77 +273,226.66,Barrel,1,26701,No home garden,0,4,77.8 +274,164,Barrel,1,13528,No home garden,0,2,70.5 +275,251.84,No barrel,0,30111,Home garden,1,6,71.2 +276,165.88,No barrel,0,7301,No home garden,0,9,67.4 +277,253.51,No barrel,0,19713,No home garden,0,2,77.4 +278,194.97,Barrel,1,15397,No home garden,0,6,77.3 +279,190.12,Barrel,1,24008,Home garden,1,7,73.6 +280,244.95,No barrel,0,36530,No home garden,0,3,69.6 +281,198.47,Barrel,1,22268,Home garden,1,8,74 +282,212.02,Barrel,1,22842,No home garden,0,7,82 +283,140.09,Barrel,1,5676,No home garden,0,3,67.2 +284,221.59,No barrel,0,19227,No home garden,0,5,75.9 +285,257.11,No barrel,0,12084,No home garden,0,5,79.5 +286,231.05,No barrel,0,20179,No home garden,0,7,71.2 +287,199.72,No barrel,0,13680,No home garden,0,4,62.2 +288,194.51,Barrel,1,29663,Home garden,1,7,73.7 +289,209.04,No barrel,0,9402,No home garden,0,4,64 +290,143.18,Barrel,1,4957,No home garden,0,9,62.4 +291,219.98,No barrel,0,5772,No home garden,0,5,77.6 +292,198.41,No barrel,0,25044,Home garden,1,8,61.4 +293,181.41,Barrel,1,9163,No home garden,0,5,72.2 +294,223.96,No barrel,0,11746,No home garden,0,3,70.3 +295,258.9,No barrel,0,36012,No home garden,0,4,69.5 +296,218.83,No barrel,0,19909,No home garden,0,7,74 +297,263.51,No barrel,0,13791,No home garden,0,3,78.1 +298,212.48,No barrel,0,17166,Home garden,1,8,68.1 +299,243.84,No barrel,0,32059,No home garden,0,3,64.2 +300,172.51,No barrel,0,15538,No home garden,0,8,65.6 +301,220.47,No barrel,0,24576,No home garden,0,6,69.9 +302,263.96,No barrel,0,36060,Home garden,1,8,76.8 +303,197.98,No barrel,0,14428,No home garden,0,4,71.6 +304,197.22,No barrel,0,16403,No home garden,0,6,70.6 +305,174.82,Barrel,1,15809,No home garden,0,7,67 +306,213.17,Barrel,1,16009,No home garden,0,3,80.4 +307,156.97,Barrel,1,22192,Home garden,1,10,69.7 +308,194.3,Barrel,1,32695,Home garden,1,8,62 +309,176.04,No barrel,0,26563,Home garden,1,8,59.8 +310,229.77,Barrel,1,20250,No home garden,0,4,70.8 +311,225.64,Barrel,1,19129,No home garden,0,2,71.9 +312,234.07,Barrel,1,36691,Home garden,1,10,71.7 +313,214.66,No barrel,0,19936,Home garden,1,8,64.2 +314,214.13,No barrel,0,30956,No home garden,0,4,55.2 +315,198.66,No barrel,0,9035,No home garden,0,5,63.8 +316,202.66,Barrel,1,25321,No home garden,0,6,73.5 +317,214.57,No barrel,0,21845,No home garden,0,7,65.4 +318,233.84,No barrel,0,18141,No home garden,0,6,71.6 +319,185.76,Barrel,1,17294,Home garden,1,8,75.3 +320,234.4,No barrel,0,24703,Home garden,1,9,71 +321,234.4,Barrel,1,26873,Home garden,1,6,78.3 +322,209.59,No barrel,0,23680,Home garden,1,9,70.5 +323,238.72,No barrel,0,32314,No home garden,0,4,64 +324,199.38,No barrel,0,26245,No home garden,0,6,57.8 +325,213.76,No barrel,0,21201,No home garden,0,6,70.4 +326,264.43,No barrel,0,31968,No home garden,0,2,73.9 +327,251.96,No barrel,0,21966,No home garden,0,6,72.6 +328,251.54,No barrel,0,21619,No home garden,0,3,71.3 +329,252.2,No barrel,0,29348,No home garden,0,5,67.9 +330,182.34,Barrel,1,17334,No home garden,0,6,65.9 +331,170.29,Barrel,1,22451,Home garden,1,8,64.1 +332,243.47,No barrel,0,23481,Home garden,1,8,72.6 +333,154.37,Barrel,1,11152,No home garden,0,6,66.7 +334,236.34,Barrel,1,13522,No home garden,0,2,84.2 +335,271.13,No barrel,0,18675,No home garden,0,2,76.3 +336,215.62,No barrel,0,29744,Home garden,1,6,64.3 +337,218.31,No barrel,0,29141,Home garden,1,9,63.5 +338,219.9,No barrel,0,18130,No home garden,0,6,67.9 +339,154.86,Barrel,1,9674,No home garden,0,7,73.3 +340,159.77,Barrel,1,2995,No home garden,0,7,75.6 +341,211.59,Barrel,1,17610,No home garden,0,4,70.3 +342,181.2,No barrel,0,5752,No home garden,0,5,68.7 +343,214.11,No barrel,0,18593,No home garden,0,4,71.7 +344,269.58,No barrel,0,31806,No home garden,0,4,81 +345,180.2,Barrel,1,4582,No home garden,0,7,77.5 +346,209.39,No barrel,0,27107,Home garden,1,7,64.4 +347,209.17,Barrel,1,20361,No home garden,0,6,74.6 +348,198.69,No barrel,0,11789,No home garden,0,7,66.5 +349,264.43,No barrel,0,22098,No home garden,0,4,76.7 +350,181.37,No barrel,0,9797,No home garden,0,3,67.5 +351,188.01,Barrel,1,28685,Home garden,1,7,71.2 +352,198.62,Barrel,1,23137,No home garden,0,2,70.3 +353,193.99,Barrel,1,17442,No home garden,0,5,78.1 +354,153,Barrel,1,2082,No home garden,0,5,70.7 +355,139.21,Barrel,1,1886,No home garden,0,6,68.3 +356,200.25,Barrel,1,19408,No home garden,0,3,74 +357,255.57,No barrel,0,15740,No home garden,0,2,73.8 +358,157.93,Barrel,1,10330,No home garden,0,8,66.6 +359,204.35,Barrel,1,23610,Home garden,1,8,75.8 +360,167.95,Barrel,1,10932,No home garden,0,5,69.5 +361,216.61,No barrel,0,11705,No home garden,0,4,68.9 +362,280.74,No barrel,0,36420,Home garden,1,6,71 +363,257.72,No barrel,0,37060,Home garden,1,8,62.8 +364,206.97,No barrel,0,20577,No home garden,0,3,61.1 +365,168.68,Barrel,1,13606,No home garden,0,6,70.6 +366,208.28,Barrel,1,24182,No home garden,0,6,69.8 +367,221.38,No barrel,0,8218,No home garden,0,3,67.2 +368,242.76,Barrel,1,28461,Home garden,1,6,77.9 +369,173.17,Barrel,1,11640,No home garden,0,4,70.2 +370,180.75,Barrel,1,6801,No home garden,0,5,70 +371,182.55,Barrel,1,19448,No home garden,0,5,71.4 +372,203.42,No barrel,0,20970,No home garden,0,6,71.6 +373,207.85,Barrel,1,21163,No home garden,0,1,70 +374,235.58,No barrel,0,17070,No home garden,0,3,70.9 +375,196.96,Barrel,1,30536,Home garden,1,9,77.5 +376,135.61,Barrel,1,982,No home garden,0,7,79.7 +377,186.63,Barrel,1,19660,No home garden,0,3,66.4 +378,228.49,No barrel,0,22161,Home garden,1,8,68.2 +379,246.42,Barrel,1,31622,No home garden,0,4,75.4 +380,160.62,Barrel,1,8157,No home garden,0,7,71 +381,189.67,No barrel,0,13119,No home garden,0,4,64.4 +382,243.47,No barrel,0,24252,No home garden,0,5,70.4 +383,240.82,No barrel,0,17648,No home garden,0,5,73.8 +384,143.57,No barrel,0,3478,No home garden,0,4,61.9 +385,219.99,No barrel,0,27011,No home garden,0,4,60.6 +386,252.85,No barrel,0,16246,No home garden,0,3,71.1 +387,206.95,No barrel,0,13220,No home garden,0,2,68.4 +388,211.46,No barrel,0,29814,Home garden,1,10,63.3 +389,209.92,Barrel,1,32031,Home garden,1,7,66.4 +390,194.39,Barrel,1,19079,No home garden,0,3,73.7 +391,246.26,Barrel,1,31389,No home garden,0,3,73 +392,190.54,No barrel,0,16959,No home garden,0,3,65.7 +393,275.6,No barrel,0,34034,Home garden,1,8,72 +394,206.99,No barrel,0,14242,No home garden,0,7,73 +395,186.95,No barrel,0,7896,No home garden,0,4,69.6 +396,165.7,Barrel,1,15567,No home garden,0,8,68.8 +397,206.61,No barrel,0,11384,No home garden,0,5,69.3 +398,227.45,No barrel,0,12423,No home garden,0,2,73.2 +399,199.99,No barrel,0,11376,No home garden,0,6,70.5 +400,231.19,Barrel,1,27549,No home garden,0,4,76.8 +401,203.92,Barrel,1,22512,No home garden,0,4,70.7 +402,228.38,Barrel,1,21336,Home garden,1,8,76.7 +403,212.06,Barrel,1,12950,No home garden,0,3,70.8 +404,238.12,No barrel,0,26771,Home garden,1,7,72.8 +405,220.85,No barrel,0,12474,No home garden,0,5,73 +406,196.27,No barrel,0,15037,Home garden,1,9,66.1 +407,230.64,No barrel,0,21735,Home garden,1,7,72.7 +408,249.14,Barrel,1,33339,Home garden,1,7,78 +409,217.43,No barrel,0,21485,No home garden,0,6,64.6 +410,216.62,No barrel,0,19231,No home garden,0,6,66 +411,198.28,No barrel,0,11639,No home garden,0,4,63.3 +412,187.09,Barrel,1,23759,No home garden,0,4,68.6 +413,210.38,Barrel,1,19035,No home garden,0,7,71.9 +414,194.44,No barrel,0,12768,No home garden,0,4,63.7 +415,145.61,Barrel,1,14954,No home garden,0,5,67.7 +416,221.22,No barrel,0,23186,No home garden,0,5,71.6 +417,198.47,No barrel,0,18246,No home garden,0,6,66.7 +418,176.72,Barrel,1,12380,No home garden,0,6,68.6 +419,250.82,No barrel,0,30214,No home garden,0,5,67.3 +420,182.2,No barrel,0,9743,No home garden,0,7,67 +421,167.46,No barrel,0,14253,No home garden,0,6,64 +422,197.23,Barrel,1,16838,No home garden,0,4,74.9 +423,207.56,No barrel,0,21306,No home garden,0,5,60.8 +424,170.31,No barrel,0,12565,No home garden,0,6,72 +425,204.37,Barrel,1,29013,No home garden,0,4,69.1 +426,278.27,No barrel,0,28754,No home garden,0,1,73.1 +427,223.22,Barrel,1,33999,No home garden,0,3,74.6 +428,182.31,No barrel,0,4514,No home garden,0,5,71.6 +429,266.63,No barrel,0,28854,No home garden,0,5,70.2 +430,215.78,Barrel,1,32674,Home garden,1,8,74.8 +431,281.45,No barrel,0,25658,No home garden,0,1,70.6 +432,181.85,Barrel,1,9121,No home garden,0,3,69 +433,192.85,Barrel,1,20175,No home garden,0,7,72.7 +434,228.38,Barrel,1,33906,No home garden,0,4,68.4 +435,220.59,No barrel,0,14747,No home garden,0,2,67 +436,198.36,Barrel,1,27357,Home garden,1,7,69.7 +437,199.85,No barrel,0,19782,No home garden,0,3,67.8 +438,211.86,No barrel,0,3006,No home garden,0,8,76.1 +439,189.65,No barrel,0,4741,No home garden,0,5,76.5 +440,152.97,No barrel,0,6697,Home garden,1,10,60.8 +441,175.19,Barrel,1,19251,No home garden,0,6,67.2 +442,242.46,No barrel,0,16104,No home garden,0,7,77.1 +443,158.63,Barrel,1,4106,No home garden,0,6,73.8 +444,218.88,No barrel,0,11793,No home garden,0,2,65.5 +445,193.6,No barrel,0,11378,No home garden,0,9,72.3 +446,196.82,No barrel,0,14103,No home garden,0,2,61.2 +447,204.42,Barrel,1,30836,No home garden,0,5,64.9 +448,240.96,No barrel,0,20782,Home garden,1,7,73 +449,231.59,No barrel,0,31260,Home garden,1,9,65.3 +450,258.44,No barrel,0,20661,No home garden,0,2,76 +451,220.1,No barrel,0,13977,No home garden,0,4,67.1 +452,190.98,Barrel,1,17355,No home garden,0,2,70.3 +453,166.93,Barrel,1,21482,Home garden,1,8,70 +454,217.34,No barrel,0,13677,No home garden,0,8,72 +455,218.35,No barrel,0,26645,No home garden,0,4,62.3 +456,220.42,No barrel,0,11934,No home garden,0,4,67.2 +457,249.08,No barrel,0,21117,No home garden,0,5,69.3 +458,242,No barrel,0,22077,No home garden,0,3,64.4 +459,213.58,No barrel,0,16688,No home garden,0,6,70.5 +460,232.79,Barrel,1,38528,Home garden,1,6,75.4 +461,207.43,No barrel,0,18839,No home garden,0,3,61.8 +462,205.22,Barrel,1,31148,No home garden,0,4,71.2 +463,230.68,No barrel,0,17226,No home garden,0,5,71.9 +464,193.6,No barrel,0,3494,No home garden,0,5,69.5 +465,187.31,Barrel,1,19242,No home garden,0,8,74 +466,228.4,No barrel,0,17631,No home garden,0,4,67.8 +467,172.5,No barrel,0,7341,No home garden,0,6,68.9 +468,230.74,No barrel,0,36758,Home garden,1,6,70 +469,184.29,Barrel,1,16308,No home garden,0,3,73.9 +470,210.65,No barrel,0,12537,No home garden,0,5,69 +471,160.26,Barrel,1,3592,No home garden,0,6,79.9 +472,223.06,No barrel,0,13035,No home garden,0,3,66.8 +473,243.04,Barrel,1,32190,Home garden,1,5,72 +474,146.45,Barrel,1,18444,No home garden,0,4,56.7 +475,265.33,No barrel,0,33438,Home garden,1,5,70.5 +476,235.59,Barrel,1,33103,No home garden,0,2,64.6 +477,245.16,No barrel,0,21262,No home garden,0,2,64.7 +478,185.56,Barrel,1,17543,No home garden,0,6,76.6 +479,177.04,Barrel,1,18878,No home garden,0,4,69 +480,244.52,No barrel,0,20398,No home garden,0,2,75.2 +481,249.22,No barrel,0,33642,Home garden,1,6,67.7 +482,240.67,Barrel,1,37338,Home garden,1,6,76.6 +483,215.18,Barrel,1,27251,No home garden,0,5,69 +484,183.05,Barrel,1,24893,No home garden,0,6,73 +485,250.48,No barrel,0,19375,No home garden,0,2,71.8 +486,230.5,Barrel,1,28103,No home garden,0,4,77.8 +487,130.87,Barrel,1,15588,Home garden,1,8,62.8 +488,197.92,Barrel,1,25928,No home garden,0,5,72.5 +489,192.44,Barrel,1,31002,No home garden,0,4,63.6 +490,222.21,No barrel,0,8360,No home garden,0,4,73.2 +491,242.42,No barrel,0,20315,No home garden,0,7,72.3 +492,165.82,Barrel,1,21202,Home garden,1,9,66.2 +493,162.3,Barrel,1,17548,No home garden,0,6,64.4 +494,281.39,No barrel,0,21082,No home garden,0,2,75.9 +495,222.26,Barrel,1,25648,No home garden,0,5,72.7 +496,260.23,No barrel,0,36297,Home garden,1,5,65.7 +497,225.02,Barrel,1,20363,No home garden,0,7,83.5 +498,255.21,Barrel,1,38665,Home garden,1,9,73.3 +499,252,No barrel,0,29073,No home garden,0,4,68.5 +500,213.46,No barrel,0,16948,No home garden,0,4,64.1 +501,185.78,Barrel,1,11350,No home garden,0,7,71.5 +502,211.48,Barrel,1,21838,No home garden,0,3,71.8 +503,140.64,Barrel,1,14400,No home garden,0,6,71.6 +504,229.04,Barrel,1,22570,No home garden,0,5,76.1 +505,215.64,No barrel,0,14717,No home garden,0,7,72.8 +506,208.27,No barrel,0,12366,No home garden,0,8,73.4 +507,196.47,Barrel,1,31872,Home garden,1,8,67.5 +508,170.93,Barrel,1,13083,No home garden,0,8,69.6 +509,161.97,No barrel,0,10577,No home garden,0,5,57.6 +510,177.71,Barrel,1,27595,Home garden,1,7,65.7 +511,263.34,No barrel,0,25056,No home garden,0,3,71.1 +512,242.93,No barrel,0,19805,No home garden,0,7,73 +513,221.4,No barrel,0,21849,Home garden,1,8,73.5 +514,208.71,No barrel,0,18702,No home garden,0,4,54.5 +515,204.4,Barrel,1,16773,No home garden,0,3,80.1 +516,159.09,Barrel,1,9143,No home garden,0,6,65.8 +517,184.87,No barrel,0,11769,No home garden,0,5,60.8 +518,261.9,No barrel,0,32678,No home garden,0,5,67.3 +519,205.9,No barrel,0,4896,No home garden,0,3,69.8 +520,283.81,No barrel,0,20312,No home garden,0,1,75.3 +521,178.84,Barrel,1,11744,No home garden,0,2,69.1 +522,266.83,No barrel,0,15112,No home garden,0,5,71.9 +523,211.29,Barrel,1,16830,No home garden,0,3,77.3 +524,236.59,No barrel,0,21597,Home garden,1,8,77.8 +525,206.59,No barrel,0,22765,No home garden,0,5,58.2 +526,266.59,Barrel,1,30844,No home garden,0,4,71.6 +527,174.59,Barrel,1,22372,Home garden,1,10,74.3 +528,209.45,No barrel,0,23827,No home garden,0,5,66.3 +529,224.17,No barrel,0,6480,No home garden,0,4,68.8 +530,225.07,No barrel,0,19272,No home garden,0,6,70.8 +531,215.91,Barrel,1,29946,No home garden,0,3,74.4 +532,212.97,Barrel,1,29853,Home garden,1,6,70.5 +533,237.26,No barrel,0,15135,No home garden,0,6,65.4 +534,187.34,Barrel,1,26229,No home garden,0,6,66.9 +535,225.12,No barrel,0,32483,Home garden,1,7,64.6 +536,252.31,No barrel,0,32054,Home garden,1,7,73.9 +537,198.81,No barrel,0,20563,No home garden,0,6,63.4 +538,154.7,Barrel,1,16656,Home garden,1,9,68.2 +539,193.04,No barrel,0,13443,No home garden,0,7,62.9 +540,245.39,Barrel,1,38758,Home garden,1,6,73.5 +541,198.2,No barrel,0,9706,No home garden,0,7,69.9 +542,218.2,Barrel,1,39542,Home garden,1,6,68.8 +543,226.53,Barrel,1,16232,No home garden,0,5,72 +544,183.85,Barrel,1,23404,Home garden,1,9,72.2 +545,190.54,No barrel,0,6954,No home garden,0,3,64.5 +546,253.05,Barrel,1,22107,No home garden,0,6,82 +547,258.08,Barrel,1,34709,No home garden,0,4,72.6 +548,150.32,Barrel,1,8007,No home garden,0,6,74.4 +549,245.59,No barrel,0,14777,No home garden,0,8,75.9 +550,165.61,Barrel,1,8348,No home garden,0,2,70.8 +551,211.37,No barrel,0,21492,No home garden,0,5,69.7 +552,175.35,No barrel,0,12530,No home garden,0,8,64.2 +553,192.34,Barrel,1,23909,Home garden,1,9,63.5 +554,197.32,No barrel,0,7354,No home garden,0,2,66 +555,217,Barrel,1,27392,No home garden,0,3,71.4 +556,140.64,Barrel,1,12815,No home garden,0,7,66.6 +557,174.55,Barrel,1,14647,No home garden,0,7,73.4 +558,222.5,No barrel,0,19455,No home garden,0,3,73.7 +559,180.56,Barrel,1,14579,No home garden,0,5,72.2 +560,222.7,No barrel,0,14416,No home garden,0,8,74 +561,203.54,Barrel,1,10302,No home garden,0,7,76.1 +562,155.47,Barrel,1,18296,No home garden,0,7,68.4 +563,263.2,Barrel,1,33552,No home garden,0,3,70.6 +564,164.08,Barrel,1,21413,No home garden,0,3,64.8 +565,211.36,No barrel,0,30759,Home garden,1,7,63.9 +566,180.59,Barrel,1,34082,Home garden,1,10,65.5 +567,213.05,Barrel,1,27121,No home garden,0,5,70.5 +568,168.35,No barrel,0,15692,No home garden,0,7,64.5 +569,212.53,No barrel,0,19092,No home garden,0,5,68 +570,229.46,Barrel,1,27562,Home garden,1,8,70.7 +571,213.08,Barrel,1,22329,No home garden,0,5,78.3 +572,226,Barrel,1,27472,No home garden,0,3,84.2 +573,236.8,No barrel,0,22427,No home garden,0,4,67.4 +574,195.56,No barrel,0,7057,No home garden,0,6,75.8 +575,197.6,Barrel,1,28142,No home garden,0,5,75.2 +576,224.9,No barrel,0,15252,No home garden,0,7,69 +577,257.73,No barrel,0,23436,No home garden,0,4,72.3 +578,225.46,Barrel,1,16473,No home garden,0,4,79 +579,240.2,No barrel,0,13721,No home garden,0,2,73.6 +580,120.28,Barrel,1,11138,No home garden,0,7,62.3 +581,167.21,Barrel,1,14073,No home garden,0,5,66.1 +582,237.93,No barrel,0,24238,No home garden,0,4,71.6 +583,226.52,No barrel,0,21808,Home garden,1,7,60.2 +584,205.41,No barrel,0,13758,No home garden,0,5,60.8 +585,273.88,No barrel,0,29175,No home garden,0,4,69.7 +586,223.22,No barrel,0,17458,No home garden,0,8,70.4 +587,198.19,Barrel,1,15247,No home garden,0,2,77.9 +588,146.64,Barrel,1,10960,No home garden,0,7,70.2 +589,293.19,No barrel,0,33810,Home garden,1,6,74.2 +590,213.35,Barrel,1,13565,No home garden,0,7,76 +591,280.41,No barrel,0,22785,No home garden,0,1,82.1 +592,195.31,Barrel,1,24474,No home garden,0,6,69.4 +593,227.33,No barrel,0,18669,Home garden,1,9,69.1 +594,196.33,Barrel,1,27232,Home garden,1,8,69.9 +595,189.96,Barrel,1,15372,Home garden,1,9,71.3 +596,224.11,No barrel,0,25845,No home garden,0,4,66.7 +597,222.38,No barrel,0,24886,No home garden,0,1,64.5 +598,228.31,Barrel,1,18693,No home garden,0,3,74.6 +599,197.8,No barrel,0,14287,No home garden,0,5,64 +600,216.34,Barrel,1,36451,Home garden,1,9,74.4 +601,218.23,No barrel,0,15306,No home garden,0,7,72 +602,194.71,Barrel,1,22824,Home garden,1,8,72.1 +603,246.71,No barrel,0,26687,No home garden,0,3,73.9 +604,257.87,No barrel,0,16737,No home garden,0,4,75.4 +605,195.02,No barrel,0,14883,No home garden,0,8,67.5 +606,269.92,No barrel,0,29009,No home garden,0,3,67.8 +607,167.5,Barrel,1,13943,No home garden,0,6,63.5 +608,173.21,No barrel,0,9979,No home garden,0,6,58.6 +609,225.84,No barrel,0,26204,No home garden,0,2,61.8 +610,209.97,Barrel,1,19388,No home garden,0,5,75.4 +611,242.14,No barrel,0,17422,No home garden,0,2,70.2 +612,179.25,Barrel,1,33664,Home garden,1,7,62.4 +613,244.03,No barrel,0,10897,No home garden,0,2,77.2 +614,249.77,No barrel,0,24942,No home garden,0,3,71.7 +615,219.91,Barrel,1,29429,No home garden,0,5,70.9 +616,206.13,No barrel,0,8666,No home garden,0,2,65 +617,216.16,Barrel,1,26188,Home garden,1,8,71.8 +618,223.26,No barrel,0,19414,No home garden,0,6,66.9 +619,274.67,No barrel,0,27133,Home garden,1,8,73.2 +620,232.94,No barrel,0,25427,No home garden,0,3,61.1 +621,247.47,No barrel,0,28180,Home garden,1,7,73.8 +622,205.89,No barrel,0,10410,No home garden,0,2,67.1 +623,211.8,Barrel,1,25308,No home garden,0,5,80.7 +624,230.7,No barrel,0,20076,No home garden,0,6,74 +625,205.17,Barrel,1,20878,No home garden,0,7,72.8 +626,255.14,No barrel,0,32673,Home garden,1,7,73.7 +627,190.12,No barrel,0,8868,No home garden,0,3,71.5 +628,173.93,Barrel,1,11347,No home garden,0,3,66 +629,197.74,Barrel,1,25669,No home garden,0,6,73 +630,216.99,No barrel,0,20334,No home garden,0,7,73.8 +631,194.53,Barrel,1,17573,No home garden,0,4,73.6 +632,163.39,No barrel,0,10404,No home garden,0,4,64.3 +633,234.34,No barrel,0,16954,No home garden,0,2,74.1 +634,234.39,No barrel,0,23877,No home garden,0,2,70.4 +635,289.35,No barrel,0,35562,No home garden,0,4,74.1 +636,105.78,Barrel,1,2927,No home garden,0,5,65.1 +637,177.02,No barrel,0,16845,No home garden,0,6,67.6 +638,213.58,Barrel,1,27645,No home garden,0,4,72.1 +639,271.04,No barrel,0,24383,No home garden,0,1,67.8 +640,220.51,No barrel,0,22018,No home garden,0,7,71.2 +641,223.73,No barrel,0,22657,No home garden,0,5,69.8 +642,204.07,No barrel,0,13490,No home garden,0,4,63.8 +643,233.91,No barrel,0,24820,No home garden,0,3,70.8 +644,191.42,Barrel,1,25013,No home garden,0,5,68.7 +645,222.79,Barrel,1,21438,No home garden,0,6,75.5 +646,207.58,No barrel,0,15381,No home garden,0,3,62.4 +647,218.19,No barrel,0,19733,No home garden,0,8,68.3 +648,150.19,Barrel,1,15734,No home garden,0,6,67.6 +649,217.89,No barrel,0,24623,No home garden,0,6,63.2 +650,184.54,Barrel,1,20802,No home garden,0,5,66.5 +651,248.83,No barrel,0,36081,Home garden,1,5,67.1 +652,210.94,Barrel,1,19994,No home garden,0,1,73.5 +653,154.2,Barrel,1,17522,No home garden,0,7,64.1 +654,178.6,Barrel,1,10455,No home garden,0,4,76.7 +655,205.62,No barrel,0,24607,No home garden,0,4,62.3 +656,231.19,No barrel,0,28485,No home garden,0,4,61.8 +657,280.83,No barrel,0,27098,Home garden,1,6,78.2 +658,227.73,No barrel,0,26220,No home garden,0,3,67.5 +659,186.61,Barrel,1,21691,No home garden,0,7,72.5 +660,182.23,Barrel,1,19442,No home garden,0,6,73.2 +661,261.55,No barrel,0,27580,No home garden,0,4,69.9 +662,182.72,Barrel,1,12406,No home garden,0,6,69.1 +663,245.41,No barrel,0,14855,No home garden,0,6,75.5 +664,242.45,Barrel,1,38738,Home garden,1,7,77.8 +665,179.35,No barrel,0,15415,No home garden,0,7,69.9 +666,219.94,No barrel,0,22499,No home garden,0,4,64.9 +667,135.34,Barrel,1,7488,No home garden,0,8,67.7 +668,189.82,No barrel,0,8185,No home garden,0,4,64.8 +669,244.04,No barrel,0,17869,No home garden,0,4,67.5 +670,196.99,Barrel,1,22447,No home garden,0,5,70.6 +671,233.74,No barrel,0,35925,Home garden,1,7,66 +672,169.4,Barrel,1,21600,Home garden,1,7,61.5 +673,236.23,No barrel,0,27383,No home garden,0,4,68.5 +674,252.12,No barrel,0,31943,No home garden,0,2,63.8 +675,229.5,Barrel,1,29069,No home garden,0,4,72.6 +676,221.6,No barrel,0,25368,No home garden,0,6,75.1 +677,192.15,Barrel,1,7620,No home garden,0,7,76.7 +678,186.31,Barrel,1,11559,No home garden,0,3,65.7 +679,225.33,No barrel,0,20156,No home garden,0,6,71.6 +680,212.5,Barrel,1,26454,No home garden,0,4,67.3 +681,231.95,No barrel,0,18157,No home garden,0,6,68.8 +682,260.52,No barrel,0,21887,No home garden,0,5,70.6 +683,219.13,Barrel,1,21341,No home garden,0,3,72.4 +684,206.43,No barrel,0,15732,Home garden,1,8,67.5 +685,191.73,Barrel,1,21104,No home garden,0,4,70.3 +686,234.46,No barrel,0,18120,No home garden,0,3,68.3 +687,188.34,Barrel,1,34938,Home garden,1,6,66.5 +688,209.42,Barrel,1,25992,No home garden,0,3,75.6 +689,251.91,No barrel,0,27438,No home garden,0,5,70.9 +690,209.7,No barrel,0,22823,No home garden,0,5,60.2 +691,196.87,Barrel,1,26064,No home garden,0,4,61.8 +692,174.26,No barrel,0,549,No home garden,0,8,69.5 +693,190.47,No barrel,0,15361,No home garden,0,5,66.8 +694,224.13,No barrel,0,24124,No home garden,0,4,66.6 +695,236.64,No barrel,0,21801,No home garden,0,3,71.8 +696,227.8,Barrel,1,37408,Home garden,1,6,74.8 +697,225.21,No barrel,0,23658,No home garden,0,6,69.9 +698,165.08,Barrel,1,18233,No home garden,0,7,71.8 +699,225.5,No barrel,0,28641,Home garden,1,7,65.7 +700,187.45,Barrel,1,24152,No home garden,0,2,70.7 +701,261.75,No barrel,0,26698,No home garden,0,5,63.6 +702,191.6,No barrel,0,16131,No home garden,0,5,63.8 +703,242.54,No barrel,0,8616,No home garden,0,4,68.3 +704,198.39,No barrel,0,11635,No home garden,0,8,70.7 +705,215.55,No barrel,0,18597,No home garden,0,6,66.2 +706,133.24,Barrel,1,16236,Home garden,1,8,71.4 +707,198.61,No barrel,0,29860,No home garden,0,5,61.1 +708,210.97,No barrel,0,12764,No home garden,0,2,70.1 +709,218.11,Barrel,1,28313,No home garden,0,5,74.5 +710,184.82,Barrel,1,16386,No home garden,0,4,75.2 +711,210.96,No barrel,0,22392,No home garden,0,6,65.6 +712,146.96,Barrel,1,15721,No home garden,0,5,66.6 +713,186.21,Barrel,1,16324,No home garden,0,4,75 +714,197.4,Barrel,1,24018,No home garden,0,6,77 +715,234.15,No barrel,0,22116,No home garden,0,2,70.9 +716,277.87,No barrel,0,25170,No home garden,0,5,73.1 +717,238.9,No barrel,0,14256,No home garden,0,3,69.1 +718,200.69,No barrel,0,12241,No home garden,0,2,64.7 +719,232.64,Barrel,1,16959,No home garden,0,1,75 +720,172.66,No barrel,0,8628,No home garden,0,8,68.9 +721,215.56,Barrel,1,23062,No home garden,0,4,70.3 +722,223.53,Barrel,1,28742,Home garden,1,9,77.7 +723,221.67,Barrel,1,30654,No home garden,0,4,69.4 +724,221.08,Barrel,1,22132,No home garden,0,7,78.7 +725,189.98,No barrel,0,6524,No home garden,0,7,67.8 +726,170.77,Barrel,1,17930,No home garden,0,6,64 +727,180.23,No barrel,0,10092,No home garden,0,7,71.2 +728,206.15,Barrel,1,21178,Home garden,1,9,72.8 +729,235.27,No barrel,0,20696,Home garden,1,9,69.2 +730,188.48,Barrel,1,22093,No home garden,0,5,71.3 +731,197.21,Barrel,1,13794,No home garden,0,1,74.5 +732,213.48,No barrel,0,23055,No home garden,0,6,70.6 +733,210.07,No barrel,0,15432,No home garden,0,5,68.5 +734,183.96,Barrel,1,18970,Home garden,1,9,75.4 +735,201.61,No barrel,0,11226,No home garden,0,3,72.4 +736,140.2,Barrel,1,2196,No home garden,0,7,73.8 +737,210.8,No barrel,0,25515,No home garden,0,5,68 +738,220,Barrel,1,32849,No home garden,0,2,72.6 +739,219.99,Barrel,1,22298,No home garden,0,5,73.3 +740,169.23,Barrel,1,14141,No home garden,0,5,66.1 +741,166.39,No barrel,0,2268,No home garden,0,8,66.4 +742,220.68,No barrel,0,24530,Home garden,1,9,62.7 +743,263.14,No barrel,0,23996,No home garden,0,5,70.4 +744,181.51,Barrel,1,8212,No home garden,0,6,80.5 +745,189.41,Barrel,1,20135,Home garden,1,8,74.6 +746,218.85,No barrel,0,19855,No home garden,0,5,67.8 +747,202.21,No barrel,0,16480,No home garden,0,8,66.8 +748,216.55,No barrel,0,17797,No home garden,0,6,65 +749,254.94,No barrel,0,16245,No home garden,0,3,70.4 +750,146.36,Barrel,1,3529,No home garden,0,4,73.3 +751,224.02,No barrel,0,15371,No home garden,0,1,70.2 +752,223.21,No barrel,0,19178,Home garden,1,8,76.2 +753,236.81,Barrel,1,27137,No home garden,0,5,77.9 +754,193.61,Barrel,1,26178,No home garden,0,6,63.5 +755,156.52,Barrel,1,3828,No home garden,0,8,75.3 +756,227.36,No barrel,0,19288,Home garden,1,9,73.4 +757,205.44,No barrel,0,13130,No home garden,0,3,69.2 +758,180.15,Barrel,1,16319,No home garden,0,4,68.9 +759,236.68,No barrel,0,15926,No home garden,0,3,73.2 +760,256.78,No barrel,0,12326,No home garden,0,4,73.3 +761,252.18,No barrel,0,29719,No home garden,0,5,63.7 +762,193.8,No barrel,0,11896,No home garden,0,7,63.5 +763,237.37,No barrel,0,26218,No home garden,0,3,67.7 +764,218.11,No barrel,0,10377,No home garden,0,5,72.3 +765,240.98,No barrel,0,25653,No home garden,0,4,70.6 +766,266.25,No barrel,0,35489,Home garden,1,6,67.2 +767,131.04,Barrel,1,14360,No home garden,0,5,57.5 +768,253.91,No barrel,0,24151,No home garden,0,3,63.5 +769,264.42,No barrel,0,14933,No home garden,0,4,80.9 +770,255.59,Barrel,1,33609,Home garden,1,6,81.4 +771,255.52,No barrel,0,14086,No home garden,0,6,76 +772,227.16,No barrel,0,25814,Home garden,1,9,70.6 +773,144.56,Barrel,1,3289,No home garden,0,5,69.4 +774,265.35,No barrel,0,17809,No home garden,0,2,76.5 +775,161.33,Barrel,1,11130,No home garden,0,8,78.1 +776,225.57,No barrel,0,21940,No home garden,0,4,58.7 +777,235.05,No barrel,0,18608,No home garden,0,5,65.9 +778,221.22,Barrel,1,30507,Home garden,1,6,71.6 +779,229.29,No barrel,0,29773,Home garden,1,9,66.5 +780,185.62,No barrel,0,5527,No home garden,0,8,70.6 +781,164.76,Barrel,1,13841,No home garden,0,6,67.1 +782,234.07,No barrel,0,21441,No home garden,0,6,72.1 +783,259.17,Barrel,1,35246,Home garden,1,5,77 +784,249.75,No barrel,0,29818,No home garden,0,5,71.6 +785,189.67,Barrel,1,16193,No home garden,0,8,74.8 +786,219.24,Barrel,1,27051,No home garden,0,4,73.6 +787,239.79,Barrel,1,31655,No home garden,0,4,71.9 +788,227.43,No barrel,0,8374,No home garden,0,3,68.6 +789,259.88,No barrel,0,30400,Home garden,1,8,70.6 +790,265.19,No barrel,0,24938,No home garden,0,3,74 +791,193.24,Barrel,1,10882,No home garden,0,6,68.7 +792,185.77,Barrel,1,24914,No home garden,0,5,77.2 +793,203.59,No barrel,0,8918,No home garden,0,3,70 +794,262.42,No barrel,0,35741,Home garden,1,7,66.6 +795,191.32,Barrel,1,20410,No home garden,0,3,71.7 +796,250.46,No barrel,0,32639,No home garden,0,3,62.2 +797,234.39,Barrel,1,21733,No home garden,0,3,78.6 +798,170.64,Barrel,1,24565,Home garden,1,9,65.2 +799,191.93,No barrel,0,7661,No home garden,0,9,67.1 +800,156.85,Barrel,1,3633,No home garden,0,4,75.1 +801,196.3,Barrel,1,22057,Home garden,1,7,73.2 +802,191.89,Barrel,1,26372,No home garden,0,6,66.3 +803,234.87,No barrel,0,32699,Home garden,1,5,61 +804,235.05,No barrel,0,27322,No home garden,0,5,68.7 +805,175.14,Barrel,1,25433,No home garden,0,5,74.5 +806,226.19,Barrel,1,23745,Home garden,1,7,75.4 +807,197.31,No barrel,0,15209,No home garden,0,5,65.7 +808,235.31,No barrel,0,20153,No home garden,0,6,68 +809,246.4,No barrel,0,30153,Home garden,1,9,69.1 +810,155.82,No barrel,0,4565,No home garden,0,8,70.2 +811,217.2,No barrel,0,19301,No home garden,0,5,63 +812,188.68,No barrel,0,9641,No home garden,0,6,69.4 +813,181.37,Barrel,1,19682,No home garden,0,5,65.9 +814,187.14,Barrel,1,22598,No home garden,0,6,69.6 +815,161.35,No barrel,0,11515,No home garden,0,7,59.3 +816,197.48,Barrel,1,22563,No home garden,0,6,74.3 +817,213.81,Barrel,1,13822,No home garden,0,6,78.2 +818,171.01,Barrel,1,15346,No home garden,0,7,66.8 +819,237.19,No barrel,0,36793,Home garden,1,5,63.6 +820,198.76,No barrel,0,13357,No home garden,0,6,64.9 +821,186.66,No barrel,0,9571,No home garden,0,4,61.7 +822,226.83,No barrel,0,21392,No home garden,0,5,70.2 +823,191.18,No barrel,0,12552,No home garden,0,3,63.8 +824,253.1,Barrel,1,36397,Home garden,1,6,75.2 +825,264.02,No barrel,0,26390,No home garden,0,3,72.6 +826,207.36,Barrel,1,21210,No home garden,0,4,71.4 +827,232.32,No barrel,0,16352,No home garden,0,2,76 +828,202.49,No barrel,0,578,No home garden,0,9,71.2 +829,159.97,No barrel,0,8083,No home garden,0,5,59.1 +830,229.66,No barrel,0,18242,No home garden,0,7,68.1 +831,227.82,No barrel,0,6713,No home garden,0,3,73.6 +832,182.12,Barrel,1,24485,No home garden,0,3,70.8 +833,178.44,Barrel,1,22983,Home garden,1,9,67.2 +834,198.73,Barrel,1,25895,No home garden,0,4,63.1 +835,202.28,Barrel,1,22591,Home garden,1,7,75.8 +836,228.88,Barrel,1,24583,Home garden,1,7,77.5 +837,179.95,Barrel,1,18250,Home garden,1,10,65.2 +838,240.39,No barrel,0,16241,No home garden,0,2,70.6 +839,218.34,No barrel,0,21985,No home garden,0,5,66.5 +840,274.54,Barrel,1,34779,No home garden,0,1,74.9 +841,278.52,No barrel,0,37833,No home garden,0,3,70.9 +842,198.01,No barrel,0,22754,No home garden,0,6,61 +843,182.75,Barrel,1,28967,Home garden,1,9,65.7 +844,230.82,No barrel,0,15540,No home garden,0,3,70 +845,216.36,No barrel,0,9884,No home garden,0,8,65.7 +846,178.02,Barrel,1,18997,No home garden,0,2,66.2 +847,175.34,No barrel,0,26702,No home garden,0,6,60.9 +848,192.7,Barrel,1,26614,No home garden,0,5,66.4 +849,195.82,No barrel,0,20895,No home garden,0,4,63.5 +850,180.6,Barrel,1,11650,No home garden,0,4,68.7 +851,167.16,Barrel,1,16578,Home garden,1,9,69.7 +852,236.27,Barrel,1,29836,No home garden,0,1,68.8 +853,158.06,Barrel,1,16290,No home garden,0,7,71.1 +854,202.32,No barrel,0,25703,Home garden,1,7,60 +855,214.61,Barrel,1,33427,No home garden,0,4,75.8 +856,228.15,No barrel,0,15338,No home garden,0,2,66 +857,186.64,Barrel,1,11451,No home garden,0,5,78.9 +858,253.13,No barrel,0,18632,No home garden,0,3,69.7 +859,262.47,No barrel,0,19158,No home garden,0,6,74.7 +860,178.24,Barrel,1,20616,No home garden,0,6,64 +861,244.13,No barrel,0,27697,No home garden,0,3,68.4 +862,179.11,Barrel,1,22418,No home garden,0,5,76.1 +863,242.59,No barrel,0,33517,No home garden,0,3,69.7 +864,176.5,No barrel,0,17735,No home garden,0,6,61.9 +865,203.7,Barrel,1,29616,Home garden,1,7,76.5 +866,169.36,Barrel,1,12691,No home garden,0,3,62.6 +867,234.24,No barrel,0,23914,No home garden,0,2,65 +868,267.79,No barrel,0,25087,No home garden,0,4,77.2 +869,215.44,Barrel,1,19894,Home garden,1,8,76.7 +870,180.26,No barrel,0,14487,No home garden,0,6,68.7 +871,158.12,Barrel,1,7999,No home garden,0,3,73.3 +872,203.57,Barrel,1,18378,No home garden,0,5,72.3 +873,204.05,Barrel,1,16859,No home garden,0,4,74.1 +874,198.39,Barrel,1,31389,Home garden,1,8,75.4 +875,229.53,No barrel,0,12188,No home garden,0,3,66.4 +876,227.46,Barrel,1,39268,Home garden,1,8,72 +877,191.33,No barrel,0,21270,No home garden,0,5,67.5 +878,206.46,Barrel,1,22792,Home garden,1,7,73.2 +879,215.28,No barrel,0,11058,No home garden,0,5,73.2 +880,235.93,No barrel,0,12646,No home garden,0,2,71.6 +881,186.33,Barrel,1,22826,No home garden,0,5,71.4 +882,201.8,No barrel,0,26503,No home garden,0,5,58 +883,172.83,Barrel,1,19463,Home garden,1,10,76.8 +884,216.56,No barrel,0,8725,No home garden,0,5,70.6 +885,243.61,Barrel,1,35880,Home garden,1,9,75 +886,202.01,Barrel,1,21336,No home garden,0,5,65.2 +887,211.99,No barrel,0,10678,No home garden,0,5,74.6 +888,183.08,No barrel,0,2978,No home garden,0,4,68.4 +889,274.78,No barrel,0,28048,No home garden,0,2,67.8 +890,202.7,No barrel,0,12284,No home garden,0,6,71.8 +891,179.75,Barrel,1,13454,No home garden,0,6,67.2 +892,237.03,Barrel,1,22660,No home garden,0,2,73.9 +893,211.27,No barrel,0,6166,No home garden,0,4,65.3 +894,216.33,Barrel,1,32681,Home garden,1,7,73.1 +895,140.34,No barrel,0,4366,No home garden,0,5,61.3 +896,256.11,No barrel,0,27298,No home garden,0,4,70.4 +897,232.97,No barrel,0,27593,No home garden,0,4,68 +898,208,No barrel,0,23223,Home garden,1,8,65.2 +899,249.9,Barrel,1,32353,No home garden,0,1,69.3 +900,219.81,Barrel,1,26797,Home garden,1,7,70.2 +901,226.51,No barrel,0,20615,No home garden,0,3,76.8 +902,257.36,No barrel,0,18907,No home garden,0,5,73.4 +903,255.09,No barrel,0,27026,No home garden,0,5,74.6 +904,190.27,Barrel,1,16232,No home garden,0,6,75.8 +905,223.52,Barrel,1,21465,No home garden,0,2,76.5 +906,225.74,No barrel,0,25381,Home garden,1,8,66.4 +907,173.27,Barrel,1,14382,No home garden,0,6,78.3 +908,198.85,No barrel,0,12150,No home garden,0,4,66.5 +909,283.31,No barrel,0,34972,No home garden,0,5,77.8 +910,244.38,No barrel,0,17830,No home garden,0,5,72.7 +911,219.56,Barrel,1,27642,No home garden,0,3,75.8 +912,255.73,No barrel,0,25252,No home garden,0,2,71.6 +913,233.37,No barrel,0,30511,No home garden,0,5,66 +914,226.51,Barrel,1,29480,No home garden,0,4,73.4 +915,256.29,No barrel,0,37873,Home garden,1,6,67.9 +916,199.81,No barrel,0,6850,No home garden,0,3,69.3 +917,226.27,No barrel,0,20854,No home garden,0,4,74 +918,155.86,Barrel,1,18330,No home garden,0,7,63.3 +919,203.35,Barrel,1,33635,Home garden,1,6,62.8 +920,254.24,No barrel,0,16453,No home garden,0,5,75.1 +921,244.01,No barrel,0,27924,Home garden,1,8,70.4 +922,197.02,Barrel,1,21082,No home garden,0,6,76.3 +923,226.9,No barrel,0,13827,No home garden,0,7,67.1 +924,176.95,No barrel,0,4359,No home garden,0,5,64.4 +925,248.81,No barrel,0,20532,No home garden,0,6,73 +926,233.23,No barrel,0,22026,No home garden,0,7,69.8 +927,293.01,No barrel,0,29683,No home garden,0,5,72.4 +928,180.83,No barrel,0,27614,Home garden,1,8,58 +929,202.37,No barrel,0,12226,No home garden,0,6,70.4 +930,215.63,No barrel,0,19558,No home garden,0,7,68.5 +931,241.12,No barrel,0,27282,Home garden,1,7,67.4 +932,167.94,Barrel,1,15538,No home garden,0,6,67 +933,226.36,No barrel,0,7607,No home garden,0,5,67 +934,216.05,No barrel,0,21544,No home garden,0,5,65.5 +935,192.35,No barrel,0,21946,No home garden,0,5,55.6 +936,232.39,Barrel,1,24876,No home garden,0,5,73.8 +937,152.65,No barrel,0,4683,No home garden,0,8,62.5 +938,224.49,No barrel,0,22359,No home garden,0,2,62.6 +939,164.25,No barrel,0,12169,No home garden,0,7,66.9 +940,235,No barrel,0,15785,No home garden,0,5,69.5 +941,165.67,Barrel,1,10643,No home garden,0,5,68.9 +942,248.19,No barrel,0,20226,No home garden,0,4,68.1 +943,220.91,Barrel,1,27944,No home garden,0,4,72.2 +944,157,Barrel,1,8908,No home garden,0,6,66.7 +945,215.66,Barrel,1,27379,Home garden,1,7,70.8 +946,214.02,No barrel,0,12906,No home garden,0,3,75.9 +947,167.28,Barrel,1,16896,Home garden,1,9,71.2 +948,252.15,No barrel,0,27276,No home garden,0,5,70.9 +949,255.53,No barrel,0,31045,Home garden,1,6,70.2 +950,214.92,No barrel,0,10496,No home garden,0,2,70.5 +951,200.35,Barrel,1,22790,No home garden,0,2,72.6 +952,197.45,Barrel,1,25327,No home garden,0,1,65.9 +953,230.15,No barrel,0,25363,No home garden,0,4,60.8 +954,193.38,Barrel,1,32961,Home garden,1,6,63.1 +955,193.15,Barrel,1,22705,No home garden,0,2,67.1 +956,201.29,Barrel,1,18017,No home garden,0,8,74 +957,211.24,Barrel,1,22284,No home garden,0,4,62.9 +958,192.12,Barrel,1,21857,Home garden,1,8,72 +959,229.78,No barrel,0,26491,No home garden,0,5,65.5 +960,199.56,No barrel,0,23302,Home garden,1,7,59.5 +961,214.02,No barrel,0,13099,No home garden,0,4,69.4 +962,196.07,No barrel,0,14754,No home garden,0,6,68.4 +963,190.26,Barrel,1,10967,No home garden,0,5,72.3 +964,180.27,Barrel,1,17775,No home garden,0,4,69.7 +965,195.54,Barrel,1,24110,Home garden,1,8,72.3 +966,172.3,No barrel,0,3360,No home garden,0,4,56 +967,132.72,Barrel,1,10354,No home garden,0,8,69 +968,197.97,No barrel,0,19659,No home garden,0,4,62.5 +969,228.95,No barrel,0,22487,No home garden,0,6,65.2 +970,219.8,No barrel,0,31642,Home garden,1,6,66.5 +971,200.37,No barrel,0,5483,No home garden,0,7,76.8 +972,182.05,No barrel,0,4027,No home garden,0,7,75.4 +973,224.36,No barrel,0,16348,Home garden,1,9,69.8 +974,173.1,Barrel,1,15894,No home garden,0,4,66.7 +975,210.4,No barrel,0,19340,No home garden,0,6,71.2 +976,212.41,No barrel,0,13720,No home garden,0,3,69.8 +977,175.84,No barrel,0,14670,No home garden,0,7,62.4 +978,247.44,No barrel,0,16959,No home garden,0,2,70.5 +979,178.74,Barrel,1,17577,No home garden,0,6,73.3 +980,168.36,No barrel,0,8522,No home garden,0,6,63.6 +981,213.47,No barrel,0,9612,No home garden,0,8,75.8 +982,187.27,Barrel,1,23263,No home garden,0,5,69.4 +983,190.47,No barrel,0,16063,No home garden,0,7,66.6 +984,187.9,No barrel,0,18987,No home garden,0,7,59.4 +985,145.53,Barrel,1,21636,Home garden,1,9,65.6 +986,185.92,No barrel,0,18632,No home garden,0,5,64 +987,211.46,No barrel,0,11631,No home garden,0,8,70.2 +988,183.18,Barrel,1,20197,No home garden,0,6,66.3 +989,244.77,No barrel,0,23338,No home garden,0,6,72.1 +990,224.93,No barrel,0,17410,No home garden,0,3,69.6 +991,183.5,No barrel,0,9499,No home garden,0,3,60.8 +992,218.5,No barrel,0,21726,No home garden,0,5,65.9 +993,207.89,Barrel,1,18365,No home garden,0,3,75.1 +994,229.12,No barrel,0,15905,No home garden,0,5,70.6 +995,211.59,Barrel,1,19262,No home garden,0,4,74.8 +996,203.24,No barrel,0,5754,No home garden,0,7,65 +997,187.83,Barrel,1,17152,No home garden,0,4,69.8 +998,232.71,No barrel,0,32157,No home garden,0,5,69.1 +999,183.89,Barrel,1,20137,No home garden,0,3,74.8 +1000,255.38,No barrel,0,24143,No home garden,0,3,74.3 +1001,247.7,No barrel,0,17332,No home garden,0,5,78.1 +1002,238.39,No barrel,0,24896,Home garden,1,7,66.3 +1003,195.84,No barrel,0,25760,No home garden,0,6,66.4 +1004,192.77,No barrel,0,30962,No home garden,0,5,55.2 +1005,158.12,Barrel,1,9252,No home garden,0,6,72.1 +1006,213.2,No barrel,0,3750,No home garden,0,4,74.4 +1007,253.05,Barrel,1,25306,No home garden,0,5,73.6 +1008,234.32,No barrel,0,31372,No home garden,0,5,66.7 +1009,161.6,Barrel,1,15723,No home garden,0,3,68.6 +1010,213.04,No barrel,0,12614,No home garden,0,6,75.6 +1011,189.39,No barrel,0,14330,Home garden,1,9,62.1 +1012,191.8,Barrel,1,22121,No home garden,0,5,70.3 +1013,278.31,No barrel,0,29188,Home garden,1,6,70.1 +1014,183.72,Barrel,1,15760,No home garden,0,6,68.1 +1015,203.67,Barrel,1,24025,No home garden,0,3,70.4 +1016,205.19,Barrel,1,22898,No home garden,0,4,74.5 +1017,204.03,No barrel,0,14733,No home garden,0,8,67 +1018,274.01,No barrel,0,33228,No home garden,0,1,68.9 +1019,227.75,Barrel,1,21052,No home garden,0,5,78.3 +1020,202.15,Barrel,1,21863,No home garden,0,2,70.9 +1021,210,No barrel,0,21669,No home garden,0,6,70.1 +1022,185.2,No barrel,0,20772,Home garden,1,8,60.5 +1023,195.04,No barrel,0,15157,No home garden,0,7,63.8 +1024,142.43,Barrel,1,13206,Home garden,1,9,63.3 +1025,226.44,No barrel,0,29757,No home garden,0,6,65.5 +1026,258.56,No barrel,0,13091,No home garden,0,3,67.8 +1027,257.29,Barrel,1,32477,Home garden,1,8,80.8 +1028,223.79,No barrel,0,16371,No home garden,0,2,66.6 +1029,249.65,No barrel,0,12828,No home garden,0,4,72.2 +1030,208.08,No barrel,0,9805,No home garden,0,5,74 +1031,194.92,Barrel,1,16952,No home garden,0,6,75.6 +1032,156.54,Barrel,1,7986,Home garden,1,9,63.8 +1033,213.92,No barrel,0,23136,No home garden,0,4,65 +1034,289.87,No barrel,0,28484,No home garden,0,4,78.9 +1035,206.54,No barrel,0,17080,No home garden,0,6,66 +1036,234.18,Barrel,1,19544,No home garden,0,3,83 +1037,221.77,No barrel,0,27992,Home garden,1,9,72.3 +1038,214.94,Barrel,1,34266,No home garden,0,4,73.1 +1039,184.99,Barrel,1,18854,No home garden,0,2,68.5 +1040,259.47,No barrel,0,29605,No home garden,0,4,67.3 +1041,206.06,Barrel,1,14006,No home garden,0,4,73.7 +1042,191,No barrel,0,12591,No home garden,0,4,69.5 +1043,184.78,No barrel,0,6119,No home garden,0,5,65.5 +1044,186,No barrel,0,13450,No home garden,0,6,62.1 +1045,200.94,Barrel,1,27000,No home garden,0,3,67.6 +1046,206.38,Barrel,1,14410,No home garden,0,5,78.5 +1047,189.12,Barrel,1,8131,No home garden,0,6,77.8 +1048,208.03,No barrel,0,16159,No home garden,0,4,60.7 +1049,201.09,No barrel,0,16741,No home garden,0,7,62.1 +1050,173.58,Barrel,1,33445,Home garden,1,7,65.7 +1051,225.38,Barrel,1,22834,No home garden,0,3,77 +1052,214.01,Barrel,1,37069,No home garden,0,4,63.7 +1053,154.63,No barrel,0,7027,No home garden,0,5,63.3 +1054,201.55,No barrel,0,10845,No home garden,0,5,65.1 +1055,164.48,Barrel,1,11207,No home garden,0,6,72.3 +1056,225.52,No barrel,0,21747,No home garden,0,4,65.4 +1057,281.98,No barrel,0,35464,No home garden,0,2,68 +1058,189.34,Barrel,1,27188,Home garden,1,10,65.6 +1059,190.13,No barrel,0,10715,No home garden,0,8,69.3 +1060,250.17,No barrel,0,20218,No home garden,0,5,76.5 +1061,230.38,No barrel,0,5469,No home garden,0,5,77 +1062,282.42,No barrel,0,38515,No home garden,0,3,71.1 +1063,191.33,Barrel,1,19876,No home garden,0,4,66.5 +1064,171.01,No barrel,0,812,No home garden,0,4,66.7 +1065,229.47,No barrel,0,30257,Home garden,1,7,68 +1066,142.96,Barrel,1,4280,No home garden,0,5,67.5 +1067,282.57,No barrel,0,33649,Home garden,1,5,76.9 +1068,213.4,No barrel,0,16589,No home garden,0,3,68.6 +1069,192.65,Barrel,1,23615,Home garden,1,9,75.8 +1070,191.92,No barrel,0,18831,Home garden,1,8,66.4 +1071,201.44,Barrel,1,25388,No home garden,0,6,72.7 +1072,238.23,No barrel,0,14172,No home garden,0,2,72 +1073,225.12,No barrel,0,18390,No home garden,0,8,68.6 +1074,242.85,No barrel,0,23242,No home garden,0,5,62.4 +1075,238.93,No barrel,0,11722,No home garden,0,5,75.4 +1076,247.68,No barrel,0,29263,Home garden,1,6,69.9 +1077,202.81,No barrel,0,16039,No home garden,0,5,65.2 +1078,232.76,Barrel,1,36844,Home garden,1,8,72 +1079,168.96,No barrel,0,1490,No home garden,0,7,68.8 +1080,270.26,No barrel,0,38897,Home garden,1,8,64.4 +1081,190.58,Barrel,1,28530,No home garden,0,6,70.5 +1082,201.21,Barrel,1,32333,No home garden,0,4,66.9 +1083,159.5,Barrel,1,20838,No home garden,0,5,68.3 +1084,221.74,No barrel,0,22235,No home garden,0,5,71.3 +1085,249.21,No barrel,0,28199,No home garden,0,1,64.8 +1086,202.15,No barrel,0,1852,No home garden,0,5,74.7 +1087,168.22,Barrel,1,17425,Home garden,1,9,75 +1088,247.6,No barrel,0,25560,No home garden,0,5,71.2 +1089,192.87,Barrel,1,14659,No home garden,0,7,77.8 +1090,194.86,No barrel,0,17000,No home garden,0,6,66.7 +1091,260.18,No barrel,0,35508,No home garden,0,3,70.7 +1092,252.62,No barrel,0,26432,No home garden,0,4,63.6 +1093,188.49,No barrel,0,7226,No home garden,0,9,68.9 +1094,195.07,Barrel,1,19081,No home garden,0,6,78.3 +1095,208.19,Barrel,1,30303,Home garden,1,8,75.8 +1096,205.41,No barrel,0,6462,No home garden,0,5,72.4 +1097,221.4,Barrel,1,33116,Home garden,1,6,69.7 +1098,133.03,Barrel,1,6787,No home garden,0,7,67.3 +1099,208.32,No barrel,0,17606,No home garden,0,6,75.1 +1100,224.43,No barrel,0,20912,No home garden,0,5,72.2 +1101,192.35,No barrel,0,9554,No home garden,0,6,68 +1102,228.45,No barrel,0,20415,No home garden,0,7,68.2 +1103,229.51,No barrel,0,25247,No home garden,0,4,69.4 +1104,256.46,No barrel,0,18342,No home garden,0,2,73.4 +1105,138.86,Barrel,1,6949,No home garden,0,8,74.2 +1106,177.71,No barrel,0,20364,Home garden,1,8,58.6 +1107,230.6,No barrel,0,25972,No home garden,0,6,71.5 +1108,184.08,Barrel,1,17894,No home garden,0,6,74.2 +1109,164.85,Barrel,1,19135,No home garden,0,6,73.1 +1110,167.78,Barrel,1,17104,No home garden,0,6,74.6 +1111,190.2,Barrel,1,17532,No home garden,0,5,69.5 +1112,196.96,No barrel,0,5793,No home garden,0,5,70.2 +1113,176.95,Barrel,1,15662,No home garden,0,6,75 +1114,247.97,No barrel,0,26488,No home garden,0,4,74.7 +1115,222.52,No barrel,0,18915,No home garden,0,5,70.7 +1116,171.78,Barrel,1,18223,Home garden,1,10,65.8 +1117,233.51,Barrel,1,35356,No home garden,0,4,68.6 +1118,217.5,No barrel,0,16862,No home garden,0,2,68.1 +1119,198.36,No barrel,0,12841,No home garden,0,6,57.2 +1120,179.43,No barrel,0,14134,No home garden,0,8,66.3 +1121,259.39,No barrel,0,17161,No home garden,0,2,71 +1122,142.86,Barrel,1,6681,No home garden,0,6,67.9 +1123,223.5,No barrel,0,17329,No home garden,0,6,68.2 +1124,215.83,Barrel,1,23344,No home garden,0,5,70.8 +1125,205.54,No barrel,0,10890,No home garden,0,7,72.7 +1126,182.71,Barrel,1,9176,No home garden,0,5,77 +1127,207.19,No barrel,0,21292,No home garden,0,4,61.2 +1128,200.43,No barrel,0,11011,No home garden,0,9,63.1 +1129,299.66,No barrel,0,36433,No home garden,0,3,77.5 +1130,240.34,Barrel,1,36823,Home garden,1,9,73.5 +1131,140.73,Barrel,1,7203,No home garden,0,6,67.1 +1132,222.54,Barrel,1,23342,No home garden,0,3,72.2 +1133,208.41,No barrel,0,18494,No home garden,0,6,70.1 +1134,194.16,No barrel,0,23099,Home garden,1,10,67.2 +1135,181.65,No barrel,0,26037,Home garden,1,10,62.3 +1136,198.05,No barrel,0,12385,No home garden,0,3,69.3 +1137,193.87,Barrel,1,27213,Home garden,1,6,62.3 +1138,271.18,Barrel,1,30495,No home garden,0,3,80.8 +1139,224.09,No barrel,0,15881,No home garden,0,6,70.5 +1140,127.26,Barrel,1,7853,No home garden,0,6,68.6 +1141,190.49,No barrel,0,15889,No home garden,0,8,66.3 +1142,208.47,No barrel,0,17855,No home garden,0,4,67 +1143,195.23,Barrel,1,27079,Home garden,1,9,69.2 +1144,264.22,No barrel,0,31899,Home garden,1,8,74.9 +1145,282.15,No barrel,0,35073,Home garden,1,6,68 +1146,207.68,No barrel,0,13255,No home garden,0,5,68.6 +1147,239.91,No barrel,0,26485,No home garden,0,4,61.4 +1148,209.97,No barrel,0,26003,Home garden,1,6,58 +1149,268.55,No barrel,0,30258,Home garden,1,6,69.8 +1150,203.51,Barrel,1,16949,No home garden,0,7,76.7 +1151,194.85,No barrel,0,9033,No home garden,0,5,62.1 +1152,189.47,Barrel,1,31747,Home garden,1,6,75.1 +1153,214.85,Barrel,1,25924,No home garden,0,6,77.3 +1154,243.61,Barrel,1,37492,Home garden,1,5,75.2 +1155,198.8,No barrel,0,7541,No home garden,0,4,64.1 +1156,202.94,No barrel,0,27232,Home garden,1,7,59.7 +1157,236.01,No barrel,0,29722,Home garden,1,9,67.8 +1158,260.95,No barrel,0,26075,No home garden,0,2,65.9 +1159,239.17,No barrel,0,14384,No home garden,0,4,73.5 +1160,241.96,Barrel,1,29123,No home garden,0,4,81.7 +1161,233.16,No barrel,0,28459,Home garden,1,10,66.7 +1162,189.1,Barrel,1,22834,No home garden,0,5,69.2 +1163,255.35,No barrel,0,33570,Home garden,1,6,71.4 +1164,215.98,No barrel,0,22424,No home garden,0,4,61.7 +1165,201.79,Barrel,1,21779,No home garden,0,2,75.2 +1166,203.76,Barrel,1,21376,No home garden,0,4,64.1 +1167,264.42,No barrel,0,32310,Home garden,1,5,69.6 +1168,213.35,No barrel,0,15678,No home garden,0,4,73.7 +1169,220.01,No barrel,0,14919,No home garden,0,3,67.1 +1170,205.04,Barrel,1,24458,Home garden,1,9,69.9 +1171,234.22,No barrel,0,28436,No home garden,0,4,64.3 +1172,208.5,No barrel,0,16990,No home garden,0,5,66.9 +1173,249.38,No barrel,0,19676,No home garden,0,2,74.1 +1174,183.69,Barrel,1,25296,Home garden,1,9,75.3 +1175,264.78,No barrel,0,37279,Home garden,1,9,75.3 +1176,185.82,Barrel,1,20088,No home garden,0,7,60.3 +1177,221.92,Barrel,1,35177,Home garden,1,6,71.7 +1178,181.95,Barrel,1,13960,No home garden,0,6,75.8 +1179,253.64,No barrel,0,30159,Home garden,1,6,66.1 +1180,221.99,No barrel,0,24874,No home garden,0,6,67.2 +1181,257.1,No barrel,0,20654,No home garden,0,2,73 +1182,229.27,Barrel,1,31502,Home garden,1,7,77.5 +1183,229.71,Barrel,1,39137,Home garden,1,5,70.1 +1184,275.45,No barrel,0,25517,No home garden,0,4,79.3 +1185,274.7,Barrel,1,36472,No home garden,0,3,80.5 +1186,246.32,No barrel,0,36220,No home garden,0,3,58.9 +1187,220.97,Barrel,1,28104,No home garden,0,4,66.2 +1188,232.23,No barrel,0,29173,Home garden,1,7,71.5 +1189,226.82,No barrel,0,25607,No home garden,0,5,70.2 +1190,185.56,Barrel,1,18508,Home garden,1,9,78.1 +1191,200.29,No barrel,0,17968,No home garden,0,5,71.8 +1192,190.39,No barrel,0,20285,No home garden,0,2,61.6 +1193,218.75,Barrel,1,26344,No home garden,0,6,72.6 +1194,255.96,No barrel,0,31885,Home garden,1,7,71.2 +1195,216.08,Barrel,1,29816,No home garden,0,5,71.6 +1196,234.08,No barrel,0,22185,No home garden,0,4,69.5 +1197,224.64,No barrel,0,14517,No home garden,0,2,70.9 +1198,234.21,Barrel,1,36876,Home garden,1,5,77.7 +1199,258.38,No barrel,0,31655,No home garden,0,4,67.1 +1200,248.5,No barrel,0,13989,No home garden,0,5,73.2 +1201,221.24,No barrel,0,22183,No home garden,0,6,64.3 +1202,252.95,No barrel,0,17451,No home garden,0,6,69.7 +1203,222.28,No barrel,0,23782,No home garden,0,2,66.7 +1204,185.68,No barrel,0,2969,No home garden,0,5,71 +1205,249.85,No barrel,0,24186,No home garden,0,3,73.1 +1206,202.03,Barrel,1,21118,No home garden,0,6,65 +1207,211.35,No barrel,0,20995,No home garden,0,5,60 +1208,244.11,No barrel,0,25062,Home garden,1,8,75.2 +1209,227.8,No barrel,0,16219,No home garden,0,4,64.6 +1210,180.67,No barrel,0,19122,Home garden,1,8,60.4 +1211,169.63,No barrel,0,16677,Home garden,1,9,67.2 +1212,253.36,No barrel,0,23348,No home garden,0,4,74.2 +1213,180.24,Barrel,1,6868,No home garden,0,3,76 +1214,195.72,Barrel,1,11485,No home garden,0,3,77.4 +1215,178.1,Barrel,1,25572,Home garden,1,6,64.4 +1216,229.36,Barrel,1,28748,No home garden,0,4,70.2 +1217,208.4,No barrel,0,14181,No home garden,0,5,70.1 +1218,194.93,No barrel,0,9817,No home garden,0,3,64.2 +1219,160.82,Barrel,1,14859,No home garden,0,6,65 +1220,195.92,No barrel,0,10522,No home garden,0,4,70.6 +1221,211.45,No barrel,0,16007,No home garden,0,3,71 +1222,178.36,Barrel,1,24923,Home garden,1,8,68.3 +1223,255.21,No barrel,0,19859,No home garden,0,2,71 +1224,210.88,No barrel,0,9177,No home garden,0,2,72.6 +1225,199.99,No barrel,0,11933,No home garden,0,4,77.6 +1226,231.93,No barrel,0,25745,No home garden,0,2,69.6 +1227,225.27,No barrel,0,22408,No home garden,0,7,70.4 +1228,217.3,No barrel,0,18781,No home garden,0,5,73.5 +1229,270.4,No barrel,0,35488,No home garden,0,5,67.5 +1230,198.83,Barrel,1,22899,No home garden,0,6,69.1 +1231,230.57,No barrel,0,15576,No home garden,0,3,68.1 +1232,198.18,No barrel,0,19180,No home garden,0,7,67.1 +1233,210.29,Barrel,1,26335,No home garden,0,3,72.4 +1234,158.35,Barrel,1,9336,No home garden,0,4,71.6 +1235,261.36,No barrel,0,35610,No home garden,0,1,63 +1236,251.97,Barrel,1,29783,No home garden,0,5,70.5 +1237,208.3,No barrel,0,13387,No home garden,0,4,66.9 +1238,247.53,No barrel,0,22504,No home garden,0,3,72.7 +1239,218.15,Barrel,1,37900,Home garden,1,6,71.4 +1240,236.39,No barrel,0,23959,No home garden,0,4,70.2 +1241,271.18,No barrel,0,22785,No home garden,0,3,78.1 diff --git a/docs/projects/problem-set-3/data/barrels_rct.csv b/docs/projects/problem-set-3/data/barrels_rct.csv new file mode 100644 index 00000000..0e489d26 --- /dev/null +++ b/docs/projects/problem-set-3/data/barrels_rct.csv @@ -0,0 +1,494 @@ +id,water_bill,barrel,barrel_num,yard_size,home_garden,home_garden_num,attitude_env,temperature +1,209.12,Barrel,1,25811,No home garden,0,3,68.5 +2,238.39,Barrel,1,39479,Home garden,1,7,77.4 +3,163.66,Barrel,1,13297,No home garden,0,7,65.1 +4,226,Barrel,1,28259,No home garden,0,2,65.7 +5,232.44,No barrel,0,21479,No home garden,0,5,65.7 +6,278.74,No barrel,0,28906,Home garden,1,8,76.9 +7,224.34,No barrel,0,7041,No home garden,0,3,70.9 +8,185.67,Barrel,1,29434,No home garden,0,4,56.1 +9,198.91,Barrel,1,24779,Home garden,1,8,70.1 +10,172.29,Barrel,1,29741,Home garden,1,9,62.2 +11,224.8,No barrel,0,16931,No home garden,0,8,73.3 +12,227.06,No barrel,0,10357,No home garden,0,9,81.8 +13,158.02,Barrel,1,16071,No home garden,0,6,67.2 +14,226.37,No barrel,0,14977,No home garden,0,6,70.5 +15,209.08,No barrel,0,13053,No home garden,0,3,71 +16,244.47,No barrel,0,24206,No home garden,0,5,71.3 +17,186.44,No barrel,0,14641,No home garden,0,9,67.6 +18,229.73,No barrel,0,15519,No home garden,0,3,70.7 +19,189.76,No barrel,0,6782,No home garden,0,9,67.4 +20,186.18,Barrel,1,19185,No home garden,0,5,72.2 +21,251.2,No barrel,0,26319,Home garden,1,7,73.4 +22,257.97,No barrel,0,35468,Home garden,1,8,66.2 +23,253.07,Barrel,1,35299,No home garden,0,3,70.4 +24,159.37,Barrel,1,8066,No home garden,0,9,77 +25,138.33,Barrel,1,9509,No home garden,0,6,64.3 +26,224.06,No barrel,0,21281,No home garden,0,2,61.8 +27,163.04,Barrel,1,20160,No home garden,0,2,54.4 +28,220.33,Barrel,1,28510,Home garden,1,7,75.9 +29,193.11,No barrel,0,3815,No home garden,0,6,68.2 +30,227.04,No barrel,0,11933,No home garden,0,4,76.1 +31,233.86,Barrel,1,36989,Home garden,1,6,66.5 +32,220.97,No barrel,0,13489,No home garden,0,5,76.8 +33,220.47,No barrel,0,17570,No home garden,0,3,74.5 +34,172.41,Barrel,1,17197,No home garden,0,3,65.3 +35,236.16,No barrel,0,37644,Home garden,1,6,66.8 +36,261.62,No barrel,0,33476,Home garden,1,8,72.4 +37,213.66,Barrel,1,24009,No home garden,0,1,73.8 +38,177.04,Barrel,1,10880,No home garden,0,4,72.1 +39,200.26,Barrel,1,31316,Home garden,1,7,71.8 +40,269.7,No barrel,0,34542,Home garden,1,6,72.5 +41,174.04,Barrel,1,14983,No home garden,0,5,73.3 +42,215.76,No barrel,0,27877,Home garden,1,9,64 +43,196.76,Barrel,1,27994,No home garden,0,5,69.9 +44,184.51,Barrel,1,15527,No home garden,0,2,67.8 +45,226.97,No barrel,0,13715,No home garden,0,8,75.2 +46,254.77,No barrel,0,28308,No home garden,0,2,70.9 +47,239.8,No barrel,0,26454,No home garden,0,5,65.1 +48,287.15,No barrel,0,29906,No home garden,0,4,79.1 +49,170.2,No barrel,0,18501,Home garden,1,9,63.8 +50,174.67,Barrel,1,26720,No home garden,0,5,65.2 +51,221.79,Barrel,1,35343,Home garden,1,6,65.8 +52,207.99,Barrel,1,12211,No home garden,0,6,83.8 +53,274.21,No barrel,0,28904,Home garden,1,7,71.3 +54,214,No barrel,0,13592,No home garden,0,6,66.8 +55,139.61,Barrel,1,12990,No home garden,0,4,69.4 +56,203.03,No barrel,0,9363,No home garden,0,7,69.2 +57,208.71,Barrel,1,27521,Home garden,1,7,68.5 +58,254,No barrel,0,24539,No home garden,0,4,68.4 +59,235.48,No barrel,0,26410,No home garden,0,4,65.7 +60,185.66,No barrel,0,12062,No home garden,0,6,67.9 +61,196.37,Barrel,1,32672,No home garden,0,4,64.6 +62,247.88,No barrel,0,34827,Home garden,1,6,75.7 +63,211.09,Barrel,1,24811,No home garden,0,3,70.1 +64,147.5,Barrel,1,13646,No home garden,0,6,65.9 +65,223.8,Barrel,1,20140,No home garden,0,3,74.4 +66,227.88,No barrel,0,24714,No home garden,0,4,68.2 +67,201.84,Barrel,1,11316,No home garden,0,8,76.3 +68,243.97,No barrel,0,23572,No home garden,0,4,70.6 +69,202.1,Barrel,1,29730,No home garden,0,5,68.4 +70,145.9,Barrel,1,12860,No home garden,0,6,62.4 +71,167.67,Barrel,1,13761,No home garden,0,6,78.3 +72,182.36,Barrel,1,25221,No home garden,0,4,61.9 +73,234.83,No barrel,0,31993,Home garden,1,6,70.2 +74,241.64,No barrel,0,31952,No home garden,0,5,68.5 +75,247.06,No barrel,0,36695,Home garden,1,5,61.8 +76,179.13,Barrel,1,16829,No home garden,0,1,65.9 +77,188.45,Barrel,1,26067,Home garden,1,8,68.8 +78,196.54,Barrel,1,23897,No home garden,0,7,63 +79,209.38,Barrel,1,34248,Home garden,1,7,67.6 +80,242.18,No barrel,0,28608,Home garden,1,7,73.1 +81,140.48,Barrel,1,4832,No home garden,0,8,67.8 +82,213.61,Barrel,1,24637,Home garden,1,7,68.4 +83,230.77,No barrel,0,29531,Home garden,1,6,66.1 +84,201.43,No barrel,0,18565,No home garden,0,5,66.7 +85,223.31,No barrel,0,19108,No home garden,0,1,70.8 +86,267.9,No barrel,0,30574,Home garden,1,6,66.2 +87,206.89,Barrel,1,20286,No home garden,0,4,76.9 +88,177.22,Barrel,1,16218,No home garden,0,4,71.4 +89,164.04,Barrel,1,18107,No home garden,0,7,63.8 +90,200.85,No barrel,0,23129,Home garden,1,8,71.8 +91,211.74,Barrel,1,17230,Home garden,1,9,75.4 +92,153.7,Barrel,1,24724,Home garden,1,8,61.4 +93,213.76,No barrel,0,12219,No home garden,0,2,69.6 +94,185.25,Barrel,1,27721,Home garden,1,6,71.2 +95,180.83,Barrel,1,18977,No home garden,0,4,73 +96,232.74,Barrel,1,25067,Home garden,1,7,79.4 +97,215.43,Barrel,1,27990,Home garden,1,6,71.9 +98,217.37,Barrel,1,16333,No home garden,0,6,79.2 +99,237.21,No barrel,0,26412,No home garden,0,6,65.9 +100,195.3,No barrel,0,6261,No home garden,0,6,63.2 +101,207.69,No barrel,0,22827,No home garden,0,3,65.6 +102,227.11,Barrel,1,28279,No home garden,0,4,69.2 +103,186.57,Barrel,1,18408,No home garden,0,7,69.6 +104,154.95,Barrel,1,11176,No home garden,0,6,66.5 +105,161.4,Barrel,1,10682,No home garden,0,7,73.4 +106,209.59,Barrel,1,25144,No home garden,0,4,75 +107,196.25,Barrel,1,22087,No home garden,0,6,69.2 +108,209.29,Barrel,1,33313,Home garden,1,8,65.8 +109,197.94,No barrel,0,26079,No home garden,0,5,54.7 +110,251.86,No barrel,0,21691,No home garden,0,5,68.5 +111,164.68,Barrel,1,24941,Home garden,1,10,65.8 +112,246.76,No barrel,0,28018,Home garden,1,8,74.9 +113,221.33,Barrel,1,26331,Home garden,1,8,73.7 +114,251.75,No barrel,0,32150,No home garden,0,4,70.1 +115,171.61,Barrel,1,27143,No home garden,0,5,67.6 +116,145.34,Barrel,1,15679,Home garden,1,9,70.7 +117,204,Barrel,1,34956,No home garden,0,3,71.3 +118,163.23,Barrel,1,23506,No home garden,0,4,63.8 +119,217.96,No barrel,0,21556,No home garden,0,4,62.2 +120,217.18,No barrel,0,11430,No home garden,0,2,66.9 +121,210.62,Barrel,1,19677,No home garden,0,5,73.1 +122,216.99,Barrel,1,28299,No home garden,0,4,70.4 +123,202,No barrel,0,14878,No home garden,0,5,71.4 +124,224.21,Barrel,1,19757,No home garden,0,5,76.2 +125,163.89,Barrel,1,24519,No home garden,0,5,65.2 +126,238.1,Barrel,1,27526,No home garden,0,6,74.7 +127,181.33,Barrel,1,22271,No home garden,0,6,76 +128,229.81,No barrel,0,17550,No home garden,0,3,72.7 +129,270.49,No barrel,0,22228,No home garden,0,3,72.5 +130,207.26,Barrel,1,18875,No home garden,0,2,70.3 +131,266.46,No barrel,0,28731,No home garden,0,3,74.8 +132,173.71,Barrel,1,19544,No home garden,0,7,70.9 +133,235.87,Barrel,1,28653,No home garden,0,4,76 +134,119.5,Barrel,1,14885,No home garden,0,7,62.9 +135,158.89,Barrel,1,27255,No home garden,0,5,55.2 +136,191.23,Barrel,1,22252,No home garden,0,5,68.3 +137,233.08,Barrel,1,16299,No home garden,0,3,79.8 +138,275.78,No barrel,0,28339,No home garden,0,4,74.2 +139,231.46,No barrel,0,31862,Home garden,1,6,66.7 +140,230.23,Barrel,1,25688,No home garden,0,5,74.9 +141,177.86,Barrel,1,23795,Home garden,1,10,72.6 +142,223.81,Barrel,1,26763,No home garden,0,5,79.4 +143,205.84,No barrel,0,20645,No home garden,0,6,74.5 +144,184.87,Barrel,1,11961,No home garden,0,4,68.8 +145,192.3,No barrel,0,17118,No home garden,0,8,64.9 +146,211.11,Barrel,1,28364,Home garden,1,6,70.8 +147,178.91,Barrel,1,7939,No home garden,0,7,74 +148,286.43,No barrel,0,32363,No home garden,0,2,79.8 +149,198.59,Barrel,1,20559,No home garden,0,3,73.2 +150,216.86,No barrel,0,22450,No home garden,0,7,70.2 +151,159.37,Barrel,1,21992,No home garden,0,4,68.1 +152,234.05,Barrel,1,27979,No home garden,0,2,69.9 +153,152.01,Barrel,1,6885,No home garden,0,7,70.6 +154,245.65,No barrel,0,30342,Home garden,1,7,71.7 +155,271.27,No barrel,0,18034,No home garden,0,5,79 +156,140.48,Barrel,1,3635,No home garden,0,4,75.4 +157,149.6,Barrel,1,13369,No home garden,0,2,63.5 +158,198.7,No barrel,0,20765,No home garden,0,7,66.3 +159,172.47,Barrel,1,20211,No home garden,0,5,66.6 +160,153.03,Barrel,1,6049,No home garden,0,6,71 +161,217.31,Barrel,1,28028,No home garden,0,6,74.4 +162,197.46,Barrel,1,24006,Home garden,1,8,70.2 +163,238.04,Barrel,1,22052,No home garden,0,4,77.3 +164,218.8,Barrel,1,27177,No home garden,0,6,76.4 +165,207.38,No barrel,0,20355,Home garden,1,8,64.1 +166,184.1,No barrel,0,9577,No home garden,0,9,64 +167,235.13,Barrel,1,34602,No home garden,0,4,80 +168,246.59,No barrel,0,24962,No home garden,0,5,69.1 +169,113.6,Barrel,1,7522,No home garden,0,9,67.4 +170,284.35,No barrel,0,30832,No home garden,0,3,77 +171,215.45,Barrel,1,33357,Home garden,1,8,73.2 +172,235.83,No barrel,0,28891,No home garden,0,4,64.2 +173,152.72,Barrel,1,7664,No home garden,0,7,67 +174,241.28,No barrel,0,22879,No home garden,0,1,65.7 +175,236,No barrel,0,32797,Home garden,1,9,70.7 +176,167.92,Barrel,1,6317,No home garden,0,3,71.5 +177,234.85,Barrel,1,38750,No home garden,0,4,69.4 +178,158.23,Barrel,1,10549,No home garden,0,6,74 +179,187.68,Barrel,1,16835,No home garden,0,2,68.4 +180,206.54,Barrel,1,29641,No home garden,0,5,57.8 +181,154.67,No barrel,0,1950,No home garden,0,7,63.2 +182,231.45,No barrel,0,21646,No home garden,0,4,71.3 +183,238.22,No barrel,0,31386,No home garden,0,5,61.1 +184,235.17,No barrel,0,23409,No home garden,0,5,67.9 +185,247.5,Barrel,1,36306,No home garden,0,3,83.1 +186,194.42,Barrel,1,14235,No home garden,0,8,77 +187,231.43,No barrel,0,19422,No home garden,0,3,66.3 +188,172.16,Barrel,1,19659,No home garden,0,5,72.3 +189,277.56,No barrel,0,24669,No home garden,0,5,76.7 +190,207.28,No barrel,0,14662,No home garden,0,5,71.9 +191,214.15,Barrel,1,24369,No home garden,0,4,74.5 +192,235.35,Barrel,1,36826,Home garden,1,7,76.9 +193,169.86,No barrel,0,17097,No home garden,0,6,63.7 +194,199.68,No barrel,0,14804,No home garden,0,5,69.3 +195,163.95,Barrel,1,20895,No home garden,0,7,64.6 +196,245.3,No barrel,0,23453,No home garden,0,4,73.7 +197,233.04,No barrel,0,15292,No home garden,0,4,71.2 +198,154.31,Barrel,1,11943,No home garden,0,4,64.5 +199,229.06,No barrel,0,39000,Home garden,1,4,62.7 +200,207.62,No barrel,0,24622,Home garden,1,7,66.1 +201,146.11,Barrel,1,12524,No home garden,0,4,66 +202,121.2,Barrel,1,7235,No home garden,0,9,66.4 +203,211.83,No barrel,0,19168,No home garden,0,6,68.7 +204,199.43,Barrel,1,28649,Home garden,1,8,74.5 +205,166.22,Barrel,1,17615,No home garden,0,3,67.3 +206,198.62,Barrel,1,24905,Home garden,1,8,76.3 +207,222.6,No barrel,0,29426,Home garden,1,7,71.7 +208,235.43,No barrel,0,22186,No home garden,0,5,69.7 +209,179.06,Barrel,1,24699,Home garden,1,8,72.1 +210,143.27,Barrel,1,16278,No home garden,0,8,65.4 +211,241.88,No barrel,0,30939,Home garden,1,9,67.3 +212,215.19,Barrel,1,28699,No home garden,0,6,69.6 +213,227.09,No barrel,0,22377,No home garden,0,5,69.9 +214,228.36,No barrel,0,25072,No home garden,0,5,67.2 +215,191,Barrel,1,17516,No home garden,0,7,72.8 +216,242.12,No barrel,0,24901,Home garden,1,9,75.9 +217,162.93,No barrel,0,3797,No home garden,0,7,65.2 +218,147.43,Barrel,1,12596,No home garden,0,5,68.6 +219,228.73,Barrel,1,29474,Home garden,1,7,74.3 +220,222.53,No barrel,0,20795,Home garden,1,8,69.1 +221,255.51,No barrel,0,21396,No home garden,0,5,72.6 +222,215,No barrel,0,11609,No home garden,0,7,73.5 +223,258.54,No barrel,0,26493,No home garden,0,4,76.8 +224,156.36,Barrel,1,12809,No home garden,0,7,65.5 +225,162.7,Barrel,1,13605,No home garden,0,7,66.8 +226,218.3,Barrel,1,26145,No home garden,0,5,70.7 +227,139.86,Barrel,1,572,No home garden,0,9,66.3 +228,247.65,No barrel,0,28862,No home garden,0,4,67 +229,266.93,No barrel,0,28305,No home garden,0,4,75.4 +230,170.07,Barrel,1,22778,Home garden,1,8,67.1 +231,246.68,No barrel,0,28042,No home garden,0,6,75.5 +232,213.98,Barrel,1,20065,No home garden,0,3,77 +233,184.08,No barrel,0,8463,No home garden,0,6,70.2 +234,211.87,Barrel,1,19207,No home garden,0,3,79.6 +235,167.48,Barrel,1,22067,Home garden,1,8,63.7 +236,170.19,Barrel,1,12730,No home garden,0,3,64 +237,177.81,Barrel,1,23102,No home garden,0,5,62.5 +238,198.47,Barrel,1,25148,Home garden,1,7,73.6 +239,254.68,No barrel,0,29420,No home garden,0,5,67.3 +240,267.82,No barrel,0,27732,No home garden,0,5,70.1 +241,223.48,Barrel,1,26237,No home garden,0,4,67.8 +242,184.77,Barrel,1,16245,No home garden,0,2,65.5 +243,205.78,Barrel,1,20156,No home garden,0,4,76.4 +244,196.29,Barrel,1,12116,No home garden,0,3,69.6 +245,177.52,Barrel,1,27499,No home garden,0,4,57.7 +246,251.84,Barrel,1,29061,No home garden,0,3,74.5 +247,173.98,Barrel,1,16866,No home garden,0,8,73.8 +248,181.66,Barrel,1,14483,No home garden,0,7,71.3 +249,205.85,No barrel,0,20120,No home garden,0,7,75.8 +250,164.38,Barrel,1,17426,No home garden,0,8,71.2 +251,231.16,No barrel,0,10322,No home garden,0,6,81.1 +252,167.63,Barrel,1,10334,No home garden,0,6,65.7 +253,249.36,No barrel,0,31526,Home garden,1,6,73.7 +254,195.66,No barrel,0,14850,No home garden,0,5,68.4 +255,184.56,Barrel,1,13115,No home garden,0,3,65.8 +256,208.42,Barrel,1,29775,No home garden,0,5,71.2 +257,213.56,No barrel,0,24220,No home garden,0,5,64.2 +258,233.57,No barrel,0,17341,No home garden,0,4,69.9 +259,240.53,No barrel,0,23242,No home garden,0,6,63.5 +260,286.79,No barrel,0,38900,Home garden,1,7,71 +261,171.92,Barrel,1,12636,No home garden,0,5,72.5 +262,206.97,Barrel,1,25900,Home garden,1,7,74.1 +263,205.2,Barrel,1,30876,Home garden,1,6,64.2 +264,244.36,Barrel,1,38559,Home garden,1,6,72.2 +265,143.54,Barrel,1,11182,No home garden,0,6,67.6 +266,237.98,No barrel,0,25847,No home garden,0,4,70.2 +267,259.23,No barrel,0,16846,No home garden,0,2,74.6 +268,202.09,Barrel,1,21089,No home garden,0,6,71.7 +269,151.88,Barrel,1,11424,No home garden,0,4,61.8 +270,236.68,Barrel,1,34542,No home garden,0,3,69.6 +271,211.02,No barrel,0,22464,Home garden,1,7,68.2 +272,211.26,No barrel,0,11423,No home garden,0,4,74.6 +273,205.76,No barrel,0,26701,No home garden,0,5,65.1 +274,185.18,Barrel,1,13528,No home garden,0,2,66.9 +275,202.92,Barrel,1,30111,Home garden,1,7,73.7 +276,180.99,No barrel,0,7301,No home garden,0,9,62.8 +277,202.46,Barrel,1,19713,No home garden,0,2,66.8 +278,220.91,No barrel,0,15397,No home garden,0,6,75.5 +279,199.05,No barrel,0,24008,Home garden,1,7,57.2 +280,251.89,Barrel,1,36530,No home garden,0,3,65.6 +281,242.46,No barrel,0,22268,Home garden,1,8,75.7 +282,175.14,Barrel,1,22842,No home garden,0,7,73.2 +283,194.89,No barrel,0,5676,No home garden,0,3,67 +284,207.72,No barrel,0,19227,No home garden,0,5,63.3 +285,247.36,No barrel,0,12084,No home garden,0,5,72.7 +286,221.84,No barrel,0,20179,No home garden,0,7,72.1 +287,188.49,No barrel,0,13680,No home garden,0,4,67.8 +288,205.89,Barrel,1,29663,Home garden,1,7,68.6 +289,200.66,Barrel,1,9402,No home garden,0,4,70.9 +290,111.58,Barrel,1,4957,No home garden,0,10,72.3 +291,161.16,Barrel,1,5772,No home garden,0,5,73.4 +292,187.42,Barrel,1,25044,Home garden,1,8,66.9 +293,209.99,No barrel,0,9163,No home garden,0,5,73.6 +294,191.23,No barrel,0,11746,No home garden,0,3,68.5 +295,252.14,Barrel,1,36012,No home garden,0,4,74.6 +296,177.33,No barrel,0,19909,No home garden,0,7,58.4 +297,167.03,Barrel,1,13791,No home garden,0,3,71.7 +298,187.81,No barrel,0,17166,Home garden,1,8,68.7 +299,198.57,Barrel,1,32059,No home garden,0,4,74.9 +300,231.49,No barrel,0,15538,No home garden,0,8,74 +301,232.52,No barrel,0,24576,No home garden,0,6,67.6 +302,208.64,Barrel,1,36060,Home garden,1,8,65.2 +303,162.41,Barrel,1,14428,No home garden,0,4,65.1 +304,101.26,Barrel,1,16403,No home garden,0,6,59.6 +305,194.97,Barrel,1,15809,No home garden,0,7,74.1 +306,193.42,Barrel,1,16009,No home garden,0,3,74.1 +307,213.12,No barrel,0,22192,Home garden,1,10,65.5 +308,266.1,No barrel,0,32695,Home garden,1,8,73 +309,234.76,No barrel,0,26563,Home garden,1,8,73.6 +310,253.2,No barrel,0,20250,No home garden,0,4,76.9 +311,210.04,No barrel,0,19129,No home garden,0,2,67.6 +312,267.01,No barrel,0,36691,Home garden,1,10,71.7 +313,145.63,Barrel,1,19936,Home garden,1,9,66.8 +314,275.26,No barrel,0,30956,No home garden,0,4,77.2 +315,192.9,No barrel,0,9035,No home garden,0,5,71.5 +316,207.12,Barrel,1,25321,No home garden,0,6,71.4 +317,185.11,Barrel,1,21845,No home garden,0,7,71.1 +318,142.82,Barrel,1,18141,No home garden,0,6,60 +319,210.66,No barrel,0,17294,Home garden,1,8,62.5 +320,182.06,Barrel,1,24703,Home garden,1,10,66.7 +321,206.6,No barrel,0,26873,Home garden,1,7,61.3 +322,178.8,Barrel,1,23680,Home garden,1,10,72.2 +323,237.5,Barrel,1,32314,No home garden,0,4,76.6 +324,252.24,No barrel,0,26245,No home garden,0,6,69.3 +325,204.38,No barrel,0,21201,No home garden,0,6,69.3 +326,227.1,Barrel,1,31968,No home garden,0,2,69.6 +327,249.2,No barrel,0,21966,No home garden,0,6,78.1 +328,238.55,No barrel,0,21619,No home garden,0,3,73.6 +329,262.91,No barrel,0,29348,No home garden,0,5,75.2 +330,228.45,No barrel,0,17334,No home garden,0,6,73.2 +331,221.84,No barrel,0,22451,Home garden,1,8,67.7 +332,177.4,Barrel,1,23481,Home garden,1,8,67.5 +333,189.1,Barrel,1,11152,No home garden,0,6,79.1 +334,189.52,Barrel,1,13522,No home garden,0,2,72.9 +335,275.7,No barrel,0,18675,No home garden,0,2,70.8 +336,218.46,No barrel,0,29744,Home garden,1,6,67.3 +337,188.22,Barrel,1,29141,Home garden,1,9,72.5 +338,151.03,Barrel,1,18130,No home garden,0,6,61.7 +339,200.19,No barrel,0,9674,No home garden,0,7,64.5 +340,170.18,Barrel,1,2995,No home garden,0,7,69.4 +341,170.78,Barrel,1,17610,No home garden,0,4,67.5 +342,145.01,Barrel,1,5752,No home garden,0,5,67 +343,157.96,Barrel,1,18593,No home garden,0,5,67.1 +344,255.89,Barrel,1,31806,No home garden,0,4,77.6 +345,150.54,Barrel,1,4582,No home garden,0,7,67.5 +346,253.99,Barrel,1,27107,Home garden,1,7,78.2 +347,212.76,Barrel,1,20361,No home garden,0,6,74.8 +348,167.34,Barrel,1,11789,No home garden,0,7,74.7 +349,239.61,No barrel,0,22098,No home garden,0,4,67.7 +350,162.49,Barrel,1,9797,No home garden,0,3,59.8 +351,241.19,Barrel,1,28685,Home garden,1,7,78.7 +352,221.59,Barrel,1,23137,No home garden,0,2,71.4 +353,186.52,Barrel,1,17442,No home garden,0,5,76.7 +354,138.14,Barrel,1,2082,No home garden,0,6,72.5 +355,163.98,Barrel,1,1886,No home garden,0,6,73.3 +356,192.42,Barrel,1,19408,No home garden,0,3,67.9 +357,204.77,Barrel,1,15740,No home garden,0,2,65.6 +358,139.69,Barrel,1,10330,No home garden,0,8,68.4 +359,243.61,No barrel,0,23610,Home garden,1,8,73.2 +360,150.08,Barrel,1,10932,No home garden,0,5,66.8 +361,210.29,No barrel,0,11705,No home garden,0,4,67.4 +362,279.24,No barrel,0,36420,Home garden,1,7,66.9 +363,282.31,No barrel,0,37060,Home garden,1,8,76.9 +364,234.9,No barrel,0,20577,No home garden,0,3,74.5 +365,194.45,No barrel,0,13606,No home garden,0,6,69.8 +366,186.22,Barrel,1,24182,No home garden,0,7,64.9 +367,164.49,Barrel,1,8218,No home garden,0,3,67 +368,235.68,No barrel,0,28461,Home garden,1,6,70.3 +369,150.77,Barrel,1,11640,No home garden,0,4,71.2 +370,151.53,Barrel,1,6801,No home garden,0,5,64.5 +371,186.93,Barrel,1,19448,No home garden,0,5,64.1 +372,178.4,Barrel,1,20970,No home garden,0,6,65.1 +373,193.37,Barrel,1,21163,No home garden,0,1,69 +374,175.72,Barrel,1,17070,No home garden,0,3,66.5 +375,141.2,Barrel,1,30536,Home garden,1,10,58.3 +376,191.69,No barrel,0,982,No home garden,0,7,72.8 +377,249,No barrel,0,19660,No home garden,0,3,70.1 +378,184.1,Barrel,1,22161,Home garden,1,9,81.1 +379,264.43,No barrel,0,31622,No home garden,0,4,65 +380,225.46,No barrel,0,8157,No home garden,0,7,70.9 +381,178.21,Barrel,1,13119,No home garden,0,5,73 +382,198.78,Barrel,1,24252,No home garden,0,5,73.1 +383,225.73,No barrel,0,17648,No home garden,0,5,75.3 +384,149.1,Barrel,1,3478,No home garden,0,4,61.6 +385,209.95,Barrel,1,27011,No home garden,0,4,69.7 +386,180.57,Barrel,1,16246,No home garden,0,3,66.3 +387,187.03,Barrel,1,13220,No home garden,0,3,71.3 +388,213.72,No barrel,0,29814,Home garden,1,10,68.7 +389,206.81,Barrel,1,32031,Home garden,1,7,72.1 +390,227.54,No barrel,0,19079,No home garden,0,3,63.3 +391,238.06,Barrel,1,31389,No home garden,0,3,76.8 +392,205,Barrel,1,16959,No home garden,0,3,74.5 +393,216.6,Barrel,1,34034,Home garden,1,9,71.1 +394,189.05,No barrel,0,14242,No home garden,0,7,65.4 +395,226.08,No barrel,0,7896,No home garden,0,4,75 +396,170.96,No barrel,0,15567,No home garden,0,8,60.5 +397,215.55,No barrel,0,11384,No home garden,0,5,72.5 +398,241.28,No barrel,0,12423,No home garden,0,2,67.3 +399,127.85,Barrel,1,11376,No home garden,0,6,66.7 +400,271.68,No barrel,0,27549,No home garden,0,4,74.7 +401,209.13,No barrel,0,22512,No home garden,0,5,65.4 +402,224.33,No barrel,0,21336,Home garden,1,9,70.7 +403,198.13,No barrel,0,12950,No home garden,0,3,64.3 +404,219.19,No barrel,0,26771,Home garden,1,7,68.3 +405,147.52,Barrel,1,12474,No home garden,0,6,65 +406,201.83,No barrel,0,15037,Home garden,1,10,73.1 +407,185.17,Barrel,1,21735,Home garden,1,8,71.2 +408,254.96,No barrel,0,33339,Home garden,1,7,75 +409,171.68,Barrel,1,21485,No home garden,0,6,69.7 +410,251.87,No barrel,0,19231,No home garden,0,6,76.1 +411,186.05,Barrel,1,11639,No home garden,0,4,69.9 +412,174.26,Barrel,1,23759,No home garden,0,4,59.8 +413,210.55,No barrel,0,19035,No home garden,0,7,63.1 +414,236.6,No barrel,0,12768,No home garden,0,4,68.5 +415,188.31,Barrel,1,14954,No home garden,0,5,73.6 +416,189.69,Barrel,1,23186,No home garden,0,6,77.3 +417,169.15,Barrel,1,18246,No home garden,0,6,72.9 +418,216.6,No barrel,0,12380,No home garden,0,6,72.7 +419,254.69,No barrel,0,30214,No home garden,0,5,77.2 +420,170.96,No barrel,0,9743,No home garden,0,8,61.1 +421,177.28,Barrel,1,14253,No home garden,0,6,74.1 +422,191.08,No barrel,0,16838,No home garden,0,5,64.1 +423,260.63,No barrel,0,21306,No home garden,0,5,76.1 +424,195.57,No barrel,0,12565,No home garden,0,6,65.2 +425,250.1,No barrel,0,29013,No home garden,0,5,70.4 +426,238.95,Barrel,1,28754,No home garden,0,1,64.2 +427,258.69,Barrel,1,33999,No home garden,0,3,72.7 +428,159.63,No barrel,0,4514,No home garden,0,5,68.4 +429,233.18,No barrel,0,28854,No home garden,0,5,68.9 +430,226.18,Barrel,1,32674,Home garden,1,8,70 +431,221.2,Barrel,1,25658,No home garden,0,1,68.7 +432,208.29,No barrel,0,9121,No home garden,0,3,73.3 +433,206.17,Barrel,1,20175,No home garden,0,7,70.4 +434,293.28,No barrel,0,33906,No home garden,0,4,74.1 +435,260.73,No barrel,0,14747,No home garden,0,2,72.7 +436,202.98,Barrel,1,27357,Home garden,1,7,76.3 +437,240.17,No barrel,0,19782,No home garden,0,3,66.7 +438,155.14,Barrel,1,3006,No home garden,0,9,75.6 +439,157.46,Barrel,1,4741,No home garden,0,5,64.4 +440,186.63,No barrel,0,6697,Home garden,1,10,65.7 +441,184.82,Barrel,1,19251,No home garden,0,7,66.5 +442,178.85,Barrel,1,16104,No home garden,0,7,65.7 +443,203.99,No barrel,0,4106,No home garden,0,6,74.2 +444,164.37,Barrel,1,11793,No home garden,0,2,64.3 +445,177.08,No barrel,0,11378,No home garden,0,9,72.8 +446,184.46,Barrel,1,14103,No home garden,0,2,67.7 +447,250.94,No barrel,0,30836,No home garden,0,5,71.4 +448,217.1,No barrel,0,20782,Home garden,1,7,70.2 +449,207.97,Barrel,1,31260,Home garden,1,9,73.8 +450,190.13,Barrel,1,20661,No home garden,0,2,71.4 +451,186.14,Barrel,1,13977,No home garden,0,4,68.8 +452,226.82,No barrel,0,17355,No home garden,0,2,70.2 +453,198.93,No barrel,0,21482,Home garden,1,8,66.8 +454,119.71,Barrel,1,13677,No home garden,0,8,65.2 +455,229.93,Barrel,1,26645,No home garden,0,4,74.4 +456,180.06,Barrel,1,11934,No home garden,0,4,66.3 +457,201.93,Barrel,1,21117,No home garden,0,5,68.5 +458,241.86,No barrel,0,22077,No home garden,0,3,64 +459,158.09,Barrel,1,16688,No home garden,0,6,64.9 +460,244.47,No barrel,0,38528,Home garden,1,6,59.5 +461,239.8,Barrel,1,18839,No home garden,0,3,76.2 +462,237.47,Barrel,1,31148,No home garden,0,4,78 +463,224.6,No barrel,0,17226,No home garden,0,5,72 +464,131.08,Barrel,1,3494,No home garden,0,5,62.7 +465,152.13,Barrel,1,19242,No home garden,0,8,65.9 +466,217.99,No barrel,0,17631,No home garden,0,5,77.8 +467,99.63,Barrel,1,7341,No home garden,0,6,54.3 +468,246.4,No barrel,0,36758,Home garden,1,6,71.6 +469,159.77,Barrel,1,16308,No home garden,0,3,61.5 +470,216.95,No barrel,0,12537,No home garden,0,5,67.3 +471,178.75,No barrel,0,3592,No home garden,0,6,72.2 +472,204.05,No barrel,0,13035,No home garden,0,3,68.4 +473,267.06,Barrel,1,32190,Home garden,1,6,81.8 +474,197.12,Barrel,1,18444,No home garden,0,4,66.3 +475,244.41,No barrel,0,33438,Home garden,1,5,73.8 +476,281.83,No barrel,0,33103,No home garden,0,2,70.7 +477,216.74,Barrel,1,21262,No home garden,0,2,66.9 +478,153.14,Barrel,1,17543,No home garden,0,6,63.1 +479,185.92,Barrel,1,18878,No home garden,0,4,61.2 +480,245.79,No barrel,0,20398,No home garden,0,2,60.3 +481,236.07,No barrel,0,33642,Home garden,1,7,59.4 +482,269.57,No barrel,0,37338,Home garden,1,6,67.4 +483,245.82,No barrel,0,27251,No home garden,0,6,66.5 +484,170.21,Barrel,1,24893,No home garden,0,6,65.6 +485,267.53,No barrel,0,19375,No home garden,0,2,70.9 +486,256.15,Barrel,1,28103,No home garden,0,4,82.1 +487,212.33,No barrel,0,15588,Home garden,1,8,72.2 +488,202.83,Barrel,1,25928,No home garden,0,5,68.7 +489,250.38,No barrel,0,31002,No home garden,0,4,60.9 +490,179.96,Barrel,1,8360,No home garden,0,5,71 +491,182.15,Barrel,1,20315,No home garden,0,7,66.5 +492,189.84,Barrel,1,21202,Home garden,1,10,74.5 +493,179.33,Barrel,1,17548,No home garden,0,6,71.3 diff --git a/docs/projects/problem-set-3/problem-set-3.Rproj b/docs/projects/problem-set-3/problem-set-3.Rproj new file mode 100755 index 00000000..254c1762 --- /dev/null +++ b/docs/projects/problem-set-3/problem-set-3.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Yes + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-3/your-name_problem-set-3.Rmd b/docs/projects/problem-set-3/your-name_problem-set-3.Rmd new file mode 100644 index 00000000..b2d6a12c --- /dev/null +++ b/docs/projects/problem-set-3/your-name_problem-set-3.Rmd @@ -0,0 +1,140 @@ +--- +title: "Problem set 3: RCTs, matching, and inverse probability weighting" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +# Program overview + +The metropolitan Atlanta area is interested in helping residents become more environmentally conscious, reduce their water consumption, and save money on their monthly water bills. To do this, Fulton, DeKalb, Gwinnett, Cobb, and Clayton counties have jointly initiated a new program that provides free rain barrels to families who request them. These barrels collect rain water, and the reclaimed water can be used for non-potable purposes (like watering lawns and gardens). Officials hope that families that use the barrels will rely more on rain water and will subsequently use fewer county water resources, thus saving both the families and the counties money. + +Being evaluation-minded, the counties hired an evaluator (you!) before rolling out their program. You convinced them to fund and run a randomized controlled trial (RCT) during 2018, and the counties rolled out the program city-wide in 2019. You have two datasets: `barrels_rct.csv` with data from the RCT, and `barrels_obs.csv` with observational data from self-selected participants. + +These datasets contain the following variables: + +- `id`: A unique ID number for each household +- `water_bill`: The family's average monthly water bill, in dollars +- `barrel`: An indicator variable showing if the family participated in the program +- `barrel_num`: A 0/1 numeric version of `barrel` +- `yard_size`: The size of the family's yard, in square feet +- `home_garden`: An indicator variable showing if the family has a home garden +- `home_garden_num`: A 0/1 numeric version of `home_garden` +- `attitude_env`: The family's self-reported attitude toward the environment, on a scale of 1-10 (10 meaning highest regard for the environment) +- `temperature`: The average outside temperature (these get wildly unrealistic for the Atlanta area; just go with it) + + +# Your goal + +Your task in this problem set is to analyze these two datasets to find the causal effect (or average treatment effect (ATE)) of this hypothetical program. + +***Follow these two examples from class as guides:*** + +- [RCTs](https://evalsp22.classes.andrewheiss.com/example/rcts/) +- [Matching and IPW](https://evalsp22.classes.andrewheiss.com/example/matching-ipw/) + +As a reference, Figure 1 shows the DAG for the program: + +![Rain barrel program DAG](barrel-dag-observational.png) + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(patchwork) +library(MatchIt) + +barrels_rct <- read_csv("data/barrels_rct.csv") %>% + # This makes it so "No barrel" is the reference category + mutate(barrel = fct_relevel(barrel, "No barrel")) + +barrels_obs <- read_csv("data/barrels_observational.csv") %>% + # This makes it so "No barrel" is the reference category + mutate(barrel = fct_relevel(barrel, "No barrel")) +``` + +# 1. Finding causation from a randomized controlled trial + +## Modified DAG + +You remember from PMAP 8521 that when running an RCT, you can draw the DAG for the program like this (Figure 2). **Why?** + +![Rain barrel program DAG as an RCT](barrel-dag-rct.png) + + +## Check balance + +**Discuss the sample size for the RCT data and how many people were assigned to treatment/control. Are you happy with this randomization?** + +```{r} +# Check for balance of numbers in the treatment and control groups +``` + +**Check the balance of the main pre-treatment characteristics. Are you happy with the balance?** + +```{r} +# Insert as many chunks as you need to check the balance of the RCT across +# different pre-treatment characteristics like yard size, home garden, +# environmental attitudes, and average temperature. +``` + +## Estimate difference + +**What is the effect of the program on participants' water bills? How credible is this result?** + +```{r} +# Insert as many chunks as you need to measure the difference in water bills for +# those in the program and those not in the program. +``` + + +# 2. Finding causation from observational data + +## Naive difference in means + +**As a baseline measure, calculate the average difference in water bills for those in the program and those not in the program using the observational data. How much of an effect is there? How credible is this result? Why?** + +```{r} +# Find the naive difference in means +``` + + +## Adjustment with Mahalanobis nearest-neighbor matching + +**Use matching to make the proper adjustments and close the backdoor effects from the four main confounders: `yard_size`, `home_garden`, `attitude_env`, and `temperature`** + +```{r} +# Insert as many chunks as you need to close the backdoors by using nearest +# neighbor matching with Mahalanobis distance. +``` + + +## Adjustment with inverse probability weighting + +**Use inverse probability weighting to make the proper adjustments and close the backdoor effects from the four main confounders: `yard_size`, `home_garden`, `attitude_env`, and `temperature`** + +```{r} +# Insert as many chunks as you need to close the backdoors by using propensity +# scores and inverse probability weighting. +``` + + +# 3. Comparing results + +You just calculated a bunch of ATEs using experimental and observational data. **Put them all in a single table here:** + +```{r} +# Table with all model results side-by-side +``` + +**Which estimates do you believe? Why? Would observational ATEs be sufficient to prove program effect in this case? Why or why not? Should this program be rolled out throughout Georgia? Why or why not?** diff --git a/docs/projects/problem-set-4/data/eitc.dta b/docs/projects/problem-set-4/data/eitc.dta new file mode 100644 index 00000000..a1274f0c Binary files /dev/null and b/docs/projects/problem-set-4/data/eitc.dta differ diff --git a/docs/projects/problem-set-4/problem-set-4.Rproj b/docs/projects/problem-set-4/problem-set-4.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/problem-set-4/problem-set-4.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-4/your-name_problem-set-4.Rmd b/docs/projects/problem-set-4/your-name_problem-set-4.Rmd new file mode 100644 index 00000000..1c742602 --- /dev/null +++ b/docs/projects/problem-set-4/your-name_problem-set-4.Rmd @@ -0,0 +1,230 @@ +--- +title: "Problem set 4: The EITC and diff-in-diff" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +In 1996, Nada Eissa and Jeffrey B. Liebman [published a now-classic study on the effect of the Earned Income Tax Credit (EITC) on employment](http://darp.lse.ac.uk/papersdb/Eissa-Liebman_(QJE96).pdf). The EITC is a special tax credit for low income workers that changes depending on (1) how much a family earns (the lowest earners and highest earners don't receive a huge credit, as the amount received phases in and out), and (2) the number of children a family has (more kids = higher credit). See [this brief explanation](https://www.cbpp.org/research/federal-tax/policy-basics-the-earned-income-tax-credit) for an interactive summary of how the EITC works. + +Eissa and Liebman's study looked at the effects of the EITC on women's employment and wages after it was initially substantially expanded in 1986. The credit was expanded substantially again in 1993. For this problem set, you'll measure the causal effect of this 1993 expansion on the employment levels and annual income for women. + +A family must have children in order to quality for the EITC, which means the presence of 1 or more kids in a family assigns low-income families to the EITC program (or "treatment"). We have annual data on earnings from 1991–1996, and because the expansion of EITC occurred in 1993, we also have data both before and after the expansion. This treatment/control before/after situation allows us to use a difference-in-differences approach to identify the causal effect of the EITC. + +The dataset I've provided (`eitc.dta`) is a Stata data file containing more than 13,000 observations. This is non-experimental data—the data comes from the US Census's Current Population Survey (CPS) and includes all women in the CPS sample between the ages of 20–54 with less than a high school education between 1991–1996. There are 11 variables: + +- `state`: The woman's state of residence. The numbers are Census/CPS state numbers: [http://unionstats.gsu.edu/State_Code.htm](http://unionstats.gsu.edu/State_Code.htm) +- `year`: The tax year +- `urate`: The unemployment rate in the woman's state of residence +- `children`: The number of children the woman has +- `nonwhite`: Binary variable indicating if the woman is not white (1 = Hispanic/Black) +- `finc`: The woman's family income in 1997 dollars +- `earn`: The woman's personal income in 1997 dollars +- `age`: The woman's age +- `ed`: The number of years of education the woman has +- `unearn`: The woman's family income minus her personal income, in *thousands* of 1997 dollars + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, %>%, mutate, filter, group_by, and friends +library(haven) # For loading data from Stata +library(broom) # For showing models as data frames + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +# Load EITC data +eitc <- read_stata("data/eitc.dta") %>% + # case_when() is a fancy version of ifelse() that takes multiple conditions + # and outcomes. Here, we make a new variable named children_cat(egorical) + # with three different levels: 0, 1, and 2+ + mutate(children_cat = case_when( + children == 0 ~ "0", + children == 1 ~ "1", + children >= 2 ~ "2+" + )) +``` + +# 1. Exploratory data analysis + +Create a new variable that shows if women have 0 children, 1 child, or 2+ children (I did this for you already above). + +What is the average of `work`, `finc`, `earn`, `nonwhite`, `ed`, and `age` across each of these different levels of children? How are these groups different? Describe your findings in a paragraph. + +## Work + +```{r} +# Work +eitc %>% + group_by(children_cat) %>% + summarize(avg_work = mean(work)) + +# stat_summary() here is a little different from the geom_*() layers you've seen +# in the past. stat_summary() takes a function (here mean_se()) and runs it on +# each of the children_cat groups to get the average and standard error. It then +# plots those with geom_pointrange. The fun.args part of this lets us pass an +# argument to mean_se() so that we can multiply the standard error by 1.96, +# giving us the 95% confidence interval +ggplot(eitc, aes(x = children_cat, y = work)) + + stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) +``` + +## Family income + +## Earnings + +## Race + +## Education + +## Age + +## General summary + +**Describe your findings in a paragraph. How do these women differ depending on the number of kids they have?** + + +# 2. Create treatment variables + +Create a new variable for treatment named `any_kids` (should be TRUE or 1 if `children` > 0) and a variable for the timing named `after_1993` (should be TRUE or 1 if `year` > 1993). + +Remember you can use the following syntax for creating a new binary variable based on a test: + +```r +new_dataset <- original_dataset %>% + mutate(new_variable = some_column > some_number) +``` + +```{r} +# Make new dataset here. You can either do something like: +# +# eitc_new <- eitc %>% whatever +# +# which would create a completely new data frame, or do something like: +# +# eitc <- eitc %>% whatever +# +# which would overwrite the original eitc data frame with the modified one. +# Either approach is fine. + +``` + + +# 3. Check pre- and post-treatment trends + +Create a new dataset that shows the average proportion of employed women (`work`) for every year in both the treatment and control groups (i.e. both with and without kids). (Hint: use `group_by()` and `summarize()`, and group by both `year` and `any_kids`.) + +```{r} +# Find average of work across year and any_kids +# Store this as a new object and then print it, like so: +# +# eitc_by_year_kids <- eitc %>% whatever +# print(eitc_by_year_kids) +``` + +Plot these trends using colored lines and points, with year on the x-axis, average employment on the y-axis. Add a vertical line at 1994 (hint: use `geom_vline(xintercept = SOMETHING)`. + +```{r} +# Add plot here, with x = year, y = average employment, and color = any_kids. +# Add a vertical line too. +``` + +**Do the pre-treatment trends appear to be similar?** + + +# 4. Difference-in-difference by hand-ish + +Calculate the average proportion of employed women in the treatment and control groups before and after the EITC expansion. (Hint: group by `any_kids` and `after_1993` and find the average of `work`.) + +```{r} +# Calculate average of work across any_kids and after_1993 +``` + +Calculate the difference-in-difference estimate given these numbers. (Recall from class that each cell has a letter (A, B, C, and D), and that the diff-in-diff estimate represents a special combination of these cells.) + +```{r} +# It might be helpful to pull these different cells out with filter() and pull() +# like in the in-class examples from 8. Store these as objects like cell_A, +# cell_B, etc. and do the math here (like cell_B - cell_A, etc.) +``` + + +| | Before 1993 | After 1993 | Difference | +|--------------------|-------------|------------|------------| +| Women with no kids | | | | +| Women with kids | | | | +| Difference | | | | + +**What is the difference-in-difference estimate? Discuss the result.** (Hint, these numbers are percents, so you can multiply them by 100 to make it easier to interpret. For instance, if the diff-in-diff number is 0.15 (it's not), you could say that the EITC caused the the proportion of mothers in the workplace to increase 15 percentage points.) + + +# 5. Difference-in-difference with regression + +Run a regression model to find the diff-in-diff estimate of the effect of the EITC on employment (`work`) (hint: remember that you'll be using an interaction term). + +```{r} +# Regression model here +``` + +**How does this value compare with what you found in part 4 earlier? What is the advantage of doing this instead of making a 2x2 table?** + + +# 6. Difference-in-difference with regression and controls + +Run a new regression model with demographic controls. Eissa and Liebman used the following in their original study: non-labor income (family income minus personal earnings, or the `unearn` column), number of children, race, age, age squared, education, and education squared. You'll need to make new variables for age squared and education squared. (These are squared because higher values of age and education might have a greater effect: someone with 4 years of education would have 16 squared years, while someone with 8 years (twice as much) would have 64 squared years (way more than twice as much).) + +```{r} +# Make new dataset with columns for age squared and education squared +# Regression model with demographic controls here +# +# R tends to put interaction terms last in regression tables, so you might not +# see the any_kids * after_1993 coefficient on the first page of the table here +``` + +**Does the treatment effect change? Interpret these findings.** + + +# 7. Varying treatment effects + +Make two new binary indicator variables showing if the woman has one child or not and two children or not. Name them `one_kid` and `two_plus_kids` (hint: use `mutate(BLAH = children == SOMETHING)`. + +```{r} +# Make new dataset with one_kid and two_plus_kids indicator variables +``` + +Rerun the regression model from part 6 (i.e. with all the demographic controls), but remove the `any_kids` and `any_kids * after_1993` terms and replace them with two new interaction terms: `one_kid * after_1993` and `two_plus_kids * after_1993`. + +```{r} +# Run regression with both of the new interaction terms instead of +# any_kids * after_1993 +``` + +**For which group of women is the EITC treatment the strongest for (i.e. which group sees the greatest change in employment)? Why do you think that is?** + + +# 8. Check parallel trends with fake treatment + +To make sure this effect isn't driven by any pre-treatment trends, we can pretend that the EITC was expanded in 1991 (starting in 1992) instead of 1993. + +Create a new dataset that only includes data from 1991–1993 (hint: use `filter()`). Create a new binary before/after indicator named `after_1991` (hint: `year >= 1992`). Use regression to find the diff-in-diff estimate of the EITC on `work` (don't worry about adding demographic controls). + +```{r} +eitc_fake_treatment <- eitc %>% + filter(year < 1994) %>% + mutate(after_1991 = year >= 1992) +# Make new dataset that only includes rows less than 1994 (with filter), and add +# a new binary indicator variable for after_1991 + +# Run simple regression with interaction term any_kids * after_1991 +``` + +**Is there a significant diff-in-diff effect? What does this mean for pre-treatment trends?** diff --git a/docs/projects/problem-set-5/data/MonthlyPanel.dta b/docs/projects/problem-set-5/data/MonthlyPanel.dta new file mode 100644 index 00000000..c93aef19 Binary files /dev/null and b/docs/projects/problem-set-5/data/MonthlyPanel.dta differ diff --git a/docs/projects/problem-set-5/problem-set-5.Rproj b/docs/projects/problem-set-5/problem-set-5.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/problem-set-5/problem-set-5.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-5/your-name_problem-set-5.Rmd b/docs/projects/problem-set-5/your-name_problem-set-5.Rmd new file mode 100644 index 00000000..0997d101 --- /dev/null +++ b/docs/projects/problem-set-5/your-name_problem-set-5.Rmd @@ -0,0 +1,252 @@ +--- +title: "Problem set 5: Do police reduce car thefts?" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +In 2004, Rafael Di Tella and Ernesto Schargrodsky published a study that analyzed the effect of increased police presence on crime. You looked at this study previously in your threats to validity assignment. To measure this effect, Di Tella and Schargrodsky leveraged a quasi-experiment. Following a synagogue bombing in Buenos Aires, Argentina on July 18, 1994, extra municipal police were assigned to protect synagogues around the city. The increase of police patrols on some city blocks, but not others, means that there is arguably a treatment group and control group for increased police presence, which Di Tella and Schargrodsky used to measure the effect of extra police on car thefts. + +The dataset I've provided (`MonthlyPanel.dta`) is a Stata data file nearly 10,000 observations. It comes directly from [Di Tella and Schargrodsky's data appendix available at their study's *AER* webpage](https://www.aeaweb.org/articles?id=10.1257/000282804322970733). This is non-experimental data that includes counts of car thefts for every city block in Buenos Aires from April to December 1994. There are 12 variables: + +- `observ` (we'll rename to `block`): The ID number of the block +- `barrio`: The barrio (neighborhood) for the block +- `calle`: The street for the block +- `altura`: The street number +- `institu1` (we'll rename to `same_block`): Indicator variable marking if there's a Jewish institution on the block (1 if yes, 0 if no) +- `institu3`: Indicator variable marking if there's a Jewish institution within one block (1 if yes, 0 if no) +- `distanci` (we'll rename to `distance`): Distance to the nearest Jewish institution, measured in blocks +- `edpub`: Indicator variable marking if there's an educational building or embassy on the block (1 if yes, 0 if no) +- `estserv`: Indicator variable marking if there's a gas station on the block (1 if yes, 0 if no) +- `banco`: Indicator variable marking if there's a bank on the block (1 if yes, 0 if no) +- `totrob` (we'll rename to `car_theft`): Total number of car robberies +- `mes` (we'll rename to `month`): Month + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, %>%, mutate, filter, group_by, and friends +library(haven) # For loading data from Stata +library(broom) # For showing models as data frames +library(fixest) # For fast, nice, fixed effects regression +library(modelsummary) # For side-by-side regression tables + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +# Load terror data +terror <- read_stata("data/MonthlyPanel.dta") %>% + # The attack happened on July 18. The authors omitted data from July 19-31, so + # all July observations are from before the attack. Make a new indicator + # variable `after` to mark if the row is from before or after the attack + mutate(after = mes > 7) %>% + # There are some weird months in the data like 73. Filter out anything > 12 + filter(mes <= 12) %>% + # Rename some columns to be more readable + rename(same_block = institu1, + distance = distanci, + car_theft = totrob, + month = mes, + block = observ) %>% + # Create indicator variables for the distance of each block to a synagogue + mutate(one_block_away = ifelse(distance == 1, 1, 0), + two_blocks_away = ifelse(distance == 2, 1, 0), + more_than_two_away = ifelse(distance > 2, 1, 0)) %>% + # Make these factors/categories + mutate(block = as.factor(block), + month = as.factor(month), + same_block_factor = as.factor(same_block)) +``` + +# 1. Research design + +**Imagine you went out and collected data on the presence of police in each city, and the amount of crime in each city, and found a positive relationship. Does this mean police *cause* crime? Explain.** + +Answer here. + + +Di Tella and Ernesto Schargrodsky explore this question with a difference-in-difference design. They collected data on both the presence of police and car robberies in Buenos Aires city blocks both before and after the attack. Their interest is in seeing whether the extra police reduced the amount of car theft. **How is this data suitable for a diff-in-diff design? What would we be comparing here? Be specific about the pre/post treatment/control groups.** + +Answer here. + + +**Why does it help the researchers that the police were dispatched to certain blocks *because of terrorist attacks?*** + +Answer here. + + + +# 2. Trends + +One of the most crucial assumptions for difference-in-differences designs is the idea that the trends in the treatment and control groups need to be parallel prior to the intervention or program. **Why?** + +Answer here. + + +Create a plot that shows the average number of car thefts per month for blocks with synagogues and blocks without (Hints: it'll be easiest if you make a smaller dataset using `group_by()` and `summarize()` and then plot that smaller dataset with `ggplot()` Make sure you group by `month` and `same_block_factor`. Add `group = same_block_factor` as an aesthetic so the line goes across the categorical months on the x-axis). Add a vertical line (`geom_vline(xintercept = "7")`) in the month where the terror attack happened. + +**What would you say about the parallel trends assumption here? Does it hold up? Maybe? Maybe not?** + +Answer here + +```{r plot-trends} +# Make a plot here +``` + + +# 3. Difference-in-differences by hand-ish + +Calculate the average number of car thefts in the treatment and control groups before and after the attack. (Hint: group by `same_block` and `after` and find the average of `car_theft`.) + +```{r manual-diff-diff} +# Calculate average of car_theft across same_block and after + +``` + +Calculate the difference-in-difference estimate given these numbers. + +| | Before attack | After attack | Difference | +|-------------------------|---------------|--------------|------------| +| Block without synagogue | | | | +| Block with synagogue | | | | +| Difference | | | | + +Answer these questions (you don't have to write your answers in list form---a paragraph is fine: + +- **How did car thefts change from before-to-after in blocks *without* synagogues?** +- **How did car thefts change from before-to-after in blocks *with* synagogues?** +- **What's the difference-in-differences?** +- **What does that mean? Interpret the finding.** + + +# 4. Difference-in-differences with regular OLS + +Run a regression model to find the diff-in-diff estimate of the effect of the increased police presence (`after`) on car thefts (`car_theft`) (hint: remember that you'll be using an interaction term). + +```{r simple-diff-diff-model} +# Code here +``` + +**How does this value compare with what you found in part 3 earlier? What is the advantage of doing this instead of making a table?** + +Answer here. + + +# 5. Difference-in-differences with fixed effects OLS + +The diff-in-diff coefficient you found in part 4 is accurate, but the standard errors and $R^2$ are wrong (run `glance()` on your model object to see how tiny the $R^2$ is)! This is because of a host of mathy reasons, but also because of the DAG. The effect of increased police presence is confounded by both month and block, but all we've really adjusted for binary before/after (for month) and binary synagogue/no synagogue (for block). By reducing these confounders to just binary variables, we lose a lot of the variation across months and blocks. + +To fix this, run a diff-in-diff model that includes two additional control variables: `block + month`. + +> ***Warning***: this will be *incredibly* slow! There are `r nrow(distinct(terror, block))` blocks and `nrow(distinct(terror, month))` months, and R is finding estimates for each block and month, and the math to do that is complex. Every time you knit this document, R will rerun the model, which takes 5-10 seconds, and the delay when knitting can be annoying. If you want to speed this up across knitting sessions, add the option `cache=TRUE` to the chunk options for this chunk. R will store the results in a temporary file and won't re-run the model if the data hasn't changed. + +**Don't use `tidy` to view the results**. You'll get a table with almost 900 rows and it'll take up pages and pages of your knitted document. If you really want to see the results, filter out the block and month rows (like this:). + +```r +tidy(name_of_model) %>% + filter(!str_starts(term, "month"), + !str_starts(term, "block")) +``` + +```{r really-slow-fe-model, cache=TRUE} +# Code here with block + month in the model +# DON'T RUN tidy() or modelsummary() without filtering out month and block coefficients +``` + +That slowness is miserable. You can get around that by using a different function for OLS that has built-in support for fixed effects (or indicator variables). The `feols()` (fixed-effects OLS) function from the **fixest** package lets you include indicator variables in regression in a more sophisticated way. The math is lighting fast, and the coefficients for each block and year are hidden by default (though you can still see them if you really want). + +The syntax for `feols()` is the same as `lm()`, but with a slight change to accommodate the fixed effects. Use the `|` character to specify a section of the formula that contains the fixed effects: + +```r +model_name <- feols(car_theft ~ same_block*after | block + month, + data = terror) +``` + +One more cool thing that `feols()` can do that normal `lm()` can't is provide robust standard errors. There is systematic variation within blocks and across time, and we can mathematically account for that variation in the standard errors of the regression. (If you've ever used Stata you do this with `reg y x, robust`). If you ever want to use robust and/or clustered standard errors with regular OLS regression in R, check out the [`lm_robust()` function in the **estimatr** package](https://declaredesign.org/r/estimatr/articles/getting-started.html#lm_robust). With `feols()`, you can add an argument to `tidy()` to get the robust standard errors. + +```r +# Stata's default robust SE algorithm is called "Huber-White standard errors", +# and we can get those same numbers here. Look at the documentation for +# summary.fixest() for more robustness and clustering options +tidy(model_name, se = "white") +``` + +Phew. Now that you know about `feols()` and robust standard errors, build a model that finds the diff-in-diff effect that includes fixed effects for block and month. Show the results with `tidy()` using Huber-White standard errors. + +```{r model-a, message=FALSE} +# Code for model A + use tidy() to show Huber-White robust standard errors +``` + +In the original study, the authors also considered the effect of two other treatment variables. Maybe the extra police presence in blocks with synagogues reduced car thefts not just for those blocks, but areas 1 block away or 2 blocks away. + +Run two more models. In the first, keep the `same_block*after` interaction term and add another diff-in-diff interaction for `one_block_away*after`. In the second, keep the same block and one block interaction terms and add one more diff-in-diff interaction for `two_blocks_away*after` + +```{r models-b-c, message=FALSE} +# Code for models B and C + use tidy() to show Huber-White robust standard errors +``` + +Recreate columns A, B, and C from Table 3 from the original article with `modelsummary()`. You'll need to show the results from your three `feols()` models (with one interaction term, with two interactions, and with three interactions). You can tell the table to show robust standard errors like the authors did in their original study by including the `se = "white"` argument, and you can control how many digits are used with the `fmt` (format) argument (the original article used 5 decimal points, so you can too). You can add significance stars by including `stars = TRUE`. + +```r +modelsummary(list(models, go, here), + se = "white", fmt = "%.5f", stars = TRUE) +``` + +```{r show-all-models} + +``` + +Answer these questions: (again, you don't have to keep this in list form when you answer): + +- **Does having extra police reduce thefts on the same block? Is the effect significant?** +- **Does having extra police reduce thefts one block away? Is the effect significant?** +- **Does having extra police reduce thefts two blocks away Is the effect significant?** + + +# 6. Translate results to something more interpretable + +According to the third model, having additional police on a block caused a reduction of 0.081 car thefts per month on average. What the heck does that even mean though? This whole outcome variable is weird anyway---it's the average number of thefts per block per month, and most block-months have 0 thefts. Having a number like 0.081 doesn't quite represent the proportion of crime or anything logically interpretable or anything. It's a little hard to talk about. + +To fix this, we can talk about percent changes instead. Recall from past classes (like microeconomics or GRE prep questions) that you can calculate the percent change (or growth) between two numbers with this formula: + +$$ +\text{percent change} = \frac{\text{new} - \text{old}}{\text{old}} +$$ + +You can remember this as **NOO**, for **n**ew minus **o**ld divided by **o**ld. With treatment and outcome groups, you can find the percent change because of a program or policy by using treatment as "new" and outcome as "old". + +Imagine if after some program, the treatment group had an outcome of 3 while the control group had an outcome of 6. The percent change in outcome because of the causal effect of the program is $\frac{3 - 6}{6}$, or -0.5: + +```{r example-pct-change} +(3 - 6) / 6 +``` + +This means that this fake program *caused* a 50% reduction in the outcome. + +--- + +Find the percent change in car thefts because of the increase police presence after the July terror attack *using the results from Model C*. To do this, you need two numbers: (1) the average number of thefts in control blocks after the attack, and (2) the average number of thefts in treatment blocks after the attack. Because you're using Model C, your control group includes blocks that don't have synagogues within two blocks. + +Use `group_by()` and `summarize()` to calculate the average number of thefts after the attack in control blocks (Hint: this will be just like the diff-in-diff by hand table you made in section 3, but instead of grouping by `same_block`, group by `more_than_two_away`). + +```{r terror-treatment-control} + +``` + +Subtract the diff-in-diff effect for "same_block × after" from Model C from the average in the control group to find the average number of car thefts in treatment blocks. (Note: It'll be really tempting to just look at the table for the average for treatment + after, but this won't be right! You need to use control + diff-in-diff, since that's the counterfactual.) + +Finally, calculate the percent change in car thefts after the terror attack across treatment and control blocks (hint: the answer is in the third full paragraph on p. 123 of the original article). + +```{r terror-pct-change} + +``` diff --git a/docs/projects/problem-set-6/data/attendance_program.csv b/docs/projects/problem-set-6/data/attendance_program.csv new file mode 100644 index 00000000..7adbf035 --- /dev/null +++ b/docs/projects/problem-set-6/data/attendance_program.csv @@ -0,0 +1,1201 @@ +id,attendance,treatment,grade +1,91.69,FALSE,87.75 +2,69.55,TRUE,60.42 +3,47.98,TRUE,18.16 +4,98.37,FALSE,86.13 +5,66.1,TRUE,47.56 +6,64.24,TRUE,40.06 +7,84.5,FALSE,84.29 +8,84.11,FALSE,70.7 +9,84.36,FALSE,85.07 +10,88.44,FALSE,86.51 +11,83.12,FALSE,65.72 +12,89.63,FALSE,78.77 +13,87.11,FALSE,70.64 +14,73.95,TRUE,59.62 +15,51.83,TRUE,16.57 +16,77.21,TRUE,62.16 +17,83.61,FALSE,80.57 +18,88.68,FALSE,80.57 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a/docs/projects/problem-set-6/your-name_problem-set-6.Rmd b/docs/projects/problem-set-6/your-name_problem-set-6.Rmd new file mode 100644 index 00000000..dc0d97a8 --- /dev/null +++ b/docs/projects/problem-set-6/your-name_problem-set-6.Rmd @@ -0,0 +1,203 @@ +--- +title: "Problem set 6: Mandatory school attendance program" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +There is substantial research and evidence that [class attendance has a positive and significant effect on student performance](http://graphics8.nytimes.com/packages/pdf/nyregion/20110617attendancereport.pdf). Because of this, state and local government agencies and school districts have designed programs and policies that incentivize students to not miss school days. Examples include tangible prizes like [colorful pendants and free tickets to events](https://www.nytimes.com/2011/06/17/nyregion/city-reduces-chronic-absenteeism-in-public-schools.html), [automated calls from celebrities](https://cityroom.blogs.nytimes.com/2011/02/10/schools-use-celebrity-robo-calls-to-battle-truancy/), or [class policies that mandate attendance](https://people.ucsc.edu/~cdobkin/Papers/2010%20Skipping%20class%20in%20college%20and%20exam%20performance%20Evidence%20from%20a%20regression%20discontinuity%20classroom%20experiment.pdf). + +Existing research has used a range of methods to test the relationship between attendance programs and student performance, including [simple regression analysis](https://dx.doi.org/10.1016/j.sbspro.2016.07.051), [randomized experiments](https://dx.doi.org/10.3200/JECE.39.3.213-227), and [regression discontinuity approaches](https://people.ucsc.edu/~cdobkin/Papers/2010%20Skipping%20class%20in%20college%20and%20exam%20performance%20Evidence%20from%20a%20regression%20discontinuity%20classroom%20experiment.pdf). + +In this assignment, you will use regression discontinuity approaches to measure the effect of a hypothetical program on hypothetical student grades (this data is 100% fake). + +In this simulated program, high school students who have less than 80% attendance during their junior year (11th grade) are assigned to a mandatory school attendance program during their senior year (12th grade). This program requires them to attend school and also provides them with additional support and tutoring to help them attend and remain in school. At the end of their senior year, students take a final test to assess their overall learning in high school. + +The dataset I've provided contains four columns: + +- `id`: A randomly assigned student ID number +- `attendance`: The proportion of days of school attended during a student's junior year (ranges from 0 to 100) +- `treatment`: Binary variable indicating if a student was assigned to the attendance program during their senior year +- `grade`: A student's final test grade at the end of their senior year + + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(rdrobust) +library(rddensity) +library(broom) +library(modelsummary) + +# This turns off this message that appears whenever you use summarize(): +# `summarise()` ungrouping output (override with `.groups` argument) +options(dplyr.summarise.inform = FALSE) + +program <- read_csv("data/attendance_program.csv") +``` + + +# Step 1: Determine if process of assigning treatment is rule-based + +**Was assignment to this program based on an arbitrary rule? Is it a good candidate for a regression discontinuity approach? Why or why not?** + + +# Step 2: Determine if the design is fuzzy or sharp + +Make a plot that shows the running variable (`attendance`) on the x-axis and the program indicator variable (`treatment`) on the y-axis. Show the relationship using points (`geom_point`) and color the points by `treatment`. + +**How strict was the application of the rule? Did any students with attendance above 80% get into the attendance program, or did any students with attendance under 80% not get into the program? Is there a sharp difference in treatment at the cutpoint?** + +```{r} +# Dot plot with attendance on the x-axis and treatment on the y-axis +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +Next, you should check that there was no manipulation in the running variable. We don't want to see a ton of students with 81% or 79% attendance, since that could be a sign that administrators fudged the numbers to either push students into the program or out of the program. + +First, make a histogram of the running variable and see if there are any big jumps around the threshold. Fill the histogram by `treatment` and add a vertical line at 80 (`geom_vline(xintercept = 80)`) to show the cutoff. Use an approprite bin width. If the column near 80 is split into two different colors (it might be, since it might be showing 79 and 80 together), add `boundary = 80` inside `geom_histogram()` to force ggplot to start a bar at 80 and not include 79. + +**Does it look like there's an unexpected jump in the running variable around the cutoff?** + +```{r} +# Histogram of attendance +``` + +Next, conduct a McCrary density test with `rdplotdensity()` from the `rddensity` library. Refer to the in-class example for the syntax (you'll need to specify `rdd`, `X` (note that it's capitalized), and `type = "both"`). Also, if you don't want two plots to show up when you knit, make sure you assign the output of `rdplotdensity()` to a variable. + +**Is there a substantial jump at the cutpoint?** + +```{r} +# McCrary test +``` + + +# Step 4: Check for discontinuity in outcome across running variable + +Make a scatterplot with the running variable on the x-axis (`attendance`) and the outcome variable on the y-axis (`grade`), with the points colored by treatment (`treatment`). Make the points small (`size = 0.5` or something similar) and semitransparent (`alpha = 0.5` or something similar) since there are a lot of them. Add a vertical line at the cutoff point. Add two `geom_smooth()` lines: one using data before the cutoff and one using data after the cutoff. Make sure both lines use `method = "lm"`. Refer to the example for the code you need to do this. + +**Based on this graph, does the program have an effect? Is there a discontinuity in outcome around the cutpoint? Interpret the effect (or non-effect) of the program.** + +```{r} +# Graph showing discontinuity in grades across levels of attendance +``` + + +# Step 5: Measure the size of the effect + +Now you need to measure the size and statistical significance of the discontinuity. If there's a jump because of the program, how big is it and how much can we trust it? You'll do this two ways: (1) parametrically with linear regression and (2) nonparametrically with curvy lines and fancy econometrics algorithms built in to the `rdrobust()` function. + +## Parametric estimation + +Create a new dataset based on `program` that has a new variable in it named `attendance_centered`. This will be the value of `attendance` minus 80. This centers student attendance around the cutpoint (if a student had 85% attendance, they'd have a value of 5; if they had 70% attendance, they'd have a value of 10; etc.) and makes it easier to interpret the intercept coefficient in linear models since it shifts the y-intercept up to the cutpoint instead of zero. + +```{r} +# Add column to program that centers attendance +``` + +Run a regression model explaining `grade` with `attendance_centered + treatment`: + +$$ +\text{Grade} = \beta_0 + \beta_1 \text{Attendance (centered)} + \beta_2 \text{Program} + \epsilon +$$ + +Make sure you use the data frame that has your new `attendance_centered` variable. + +**Interpret the three coefficients. How big is the effect of the program? Is it statistically significant?** + +```{r} +# Linear model +``` + +Now make two new datasets based on the one you made previously with the `attendance_centered` variable. Filter one so that it only contains observations where `attendance_centered` is between -5 and 5, and filter the other so that it only contains observations where `attendance_centered` is between -10 and 10. + +Run the same model (`grade ~ attendance_centered + program`) using each of these data frames. Interpret the coefficients. Are they different from the model that uses the complete data? + +```{r} +# Data and model with bandwidth = 5 +``` + +```{r} +# Data and model with bandwidth = 10 +``` + +**Put all three models in a side-by-side table with `modelsummary()`. How does the coefficient for `program` change across the model specifications? How does the number of observations change? What advantages and disadvantages are there to restricting the data to ±5 or ±10 around the cutpoint? Which program effect do you believe the most? Why?** + +```{r} +# All three models +``` + + +## Nonparametric estimation + +Next you'll use nonparametric estimation to figure out the size of the gap around the cutpoint. Remember from class that this means we're not using straight lines anymore---we're using curvy lines that don't really have neat $y = mx + b$ equations behind them, so we can't use `lm()` and regular coefficients. Instead, we can use `rdrobust` to measure the size of the gap. + +Use `rdrobust` with all its default options to find the effect of the program. You'll need to specify `y`, `x`, and `c`. Recall from the in-class example that you'll need to type the name of the variables slighlty differently. To refer to the grade column in the program data frame, you'll have to type `program$grade`. Also, make sure you pipe the output of `rdrobust()` to `summary()`, otherwise you won't see the actual program effect (so make sure you type `rdrobust(...) %>% summary()`). + +**How big of an effect does the program have at the cutpoint? Is the effect statistically significant?** Important: if you see a negative number, you can pretend that it's positive. It's negative because the change in trend goes down. + +```{r} +# rdrobust() +# Note: You don't need to use attendance_centered anymore; that was just for lm() +``` + +Make a plot of the effect using `rdplot()`. You'll use the same `y`, `x`, and `c` that you did in `rdrobust()` above. + +```{r} +# Plot +``` + +## Nonparametric sensitivity checks + +Now that we have an effect, we can adjust some of the default options to see how robust the effect size is. + +First we'll play with the bandwidth. Find the ideal bandwidth with with `rdbwselect()`, then run `rdrobust` with twice that bandwidth and half that bandwidth (hint: use `h = SOMETHING`). + +```{r} +# Find the ideal bandwidth. Make sure rdbwselect() pipes into summary() so you +# can see the results: rdbwselect() %>% summary() +# +# You'll use the same y, x, and c as before +``` + +```{r} +# rdrobust() with half bandwidth + +# rdrobust() with two times the bandwidth +``` + +Next we'll play with the kernel. Use the default ideal bandwidth and adjust the kernel to change how heavily weighted the observations right by the cutoff are. You already used a triangular kernel---that was the first `rdrobust()` model you ran, since triangular is the default. Try using Epanechnikov and uniform kernels (look at the help file for `rdrobust` or look at the in-class example to see how to specify different kernels): + +```{r} +# rdrobust() with an Epanechnikov kernel + +# rdrobust() with a uniform kernel +``` + + +# Step 6: Compare all the effects + +**Make a list of all the effects you found. Which one do you trust the most? Why?** + +Write them in this table if it's helpful: + +| Method | Bandwidth | Kernel | Estimate | +|:-------------:|:---------:|:--------------------:|:--------:| +| Parametric | Full data | Unweighted | | +| Parametric | 10 | Unweighted | | +| Parametric | 5 | Unweighted | | +| Nonparametric | ??? | Triangular | | +| etc | | etc | | + + +**Does the program have an effect? Should it be rolled out to all schools? 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100644 index 00000000..d5a93917 --- /dev/null +++ b/docs/projects/problem-set-7/your-name_problem-set-7.Rmd @@ -0,0 +1,132 @@ +--- +title: "Problem set 7: Education and wages + public housing and health" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(estimatr) # For lm_robust() and iv_robust() +library(modelsummary) # For showing side-by-side regression tables +``` + + +# Task 1: Education, wages, and kids + +Let's look once again at the effect of education on earnings. You'll use data from the 1976 Current Population Survey run by the US Census. The data is available as `wage` in the **wooldridge** R package---here I've just taken a subset of variables and renamed them. There are three columns: + +| Variable name | Description | +| -------------- | ------------------------------------------ | +| `wage` | Average hourly earnings (in 1976 dollars) | +| `education` | Years of education | +| `n_kids` | Number of dependents living at home | + +You're interested in estimating $\beta_1$ in: + +$$ +\text{Wage}_i = \beta_0 + \beta_1 \text{Education}_i + \epsilon_i +$$ + +However, there is an issue with omitted variable bias and endogeneity. Instrumental variables can potentially help address the endogeneity. + +## Step 1 + +Load and look at the dataset + +```{r load-wage-data, message=FALSE} +wages <- read_csv("data/wages.csv") +``` + +## Step 2 + +We need an instrument for education, since part of it is endogenous. Do you think the variable `n_kids` (the number of children) would be a valid instrument? Does it meet the three requirements of a valid instrument? + +ANSWER HERE + +Explain why it passes or fails each of the three requirements for a valid instrument. Test the requirements where possible using scatterplots and regression. + +ANSWER HERE and include plots and regression + +## Step 3 + +Assume that the number of children is a valid instrument (regardless of whatever you concluded earlier). Using the number of children (`n_kids`) as an instrument for education (`education`), estimate the effect of education on wages via two-stage least squares (2SLS) instrumental variables (IV). + +Do this by hand: create a first stage model, extract the predicted education, and use predicted education in the second stage. + +Interpret the coefficient that gives the effect of education on wages ($\beta_1$) and its significance. + +DO ALL THAT HERE + +(Remember that you can also use the `iv_robust()` function from the **estimatr** package to run IV/2SLS models in one step with: `iv_robust(y ~ x | z, data = data)`, where `y` is the outcome, `x` is the policy/program, and `z` is the instrument. Try doing this to check your manual two-stage model.) + +## Step 4 + +Run a naive model predicting the effect of education on wages (i.e. without any instruments). How does this naive model compare with the IV model? + +Show the results side-by-side here: + +TABLE HERE + +## Step 6 + +Explain which estimates (OLS vs. IV/2SLS) you would trust more (or why you distrust both) + +ANSWER HERE + + +--- + + +# Task 2: Public housing and health + +[Economic research shows](https://dx.doi.org/10.1002/pam.20288) that there is a potential (albeit weak) connection between health outcomes and residency in public housing. You are interested in finding the effect of public housing assistance on health outcomes. In the absence of experimental data, you must use observational data collected by the Georgia Department of Public Health. You have access to a dataset of 1,000 rows with the following columns: + +| Variable name | Description | +| --------------------- | -------------------------------------------------------------------------------- | +| `HealthStatus` | Health status on a scale from 1 = poor to 20 = excellent | +| `HealthBehavior` | Omitted variable (you can't actually measure this!) | +| `PublicHousing` | Number of years spent in public housing | +| `Supply` | Number of available public housing units in the city per 100 eligible households | +| `ParentsHealthStatus` | Health status of parents on a scale from 1 = poor to 20 = excellent | +| `WaitingTime` | Average waiting time before obtaining public housing in the city (in months) | +| `Stamp` | Dollar amount of food stamps (SNAP) spent each month | +| `Age` | Age | +| `Race` | Race; 1 = White, 2 = Black, 3 = Hispanic, 4 = Other | +| `Education` | Education; 1 = Some high school, 2 = High school, 3 = Bachelor's, 4 = Master's | +| `MaritalStatus` | Marital status; 1 = Single, 2 = Married, 3 = Widow, 4 = Divorced | + +(This is simulated data, but it's based on analysis by [Angela R. Fertig and David A. Reingold](https://dx.doi.org/10.1002/pam.20288)) + +Your goal is to measure the effect of living in public housing (`PublicHousing`) on health (`HealthStatus`). There is omitted variable bias, though, since people who care more about their health might be more likely to self-select into public housing and report a better health status score. The magic variable `HealthBehavior` measures this omitted variable, and you can use it as reference to make sure you get the models right (this is the same as "ability" in the examples in class), but don't include it in any of your actual models, since it's not real. + +This data includes four potential instruments: + +- `Supply`: Number of available public housing units in the city per 100 eligible households +- `ParentsHealthStatus`: Health status of parents on a scale from 1 = poor to 5 = excellent +- `WaitingTime`: Average waiting time before obtaining public housing in the city (in months) +- `Stamp`: Dollar amount of food stamps (SNAP) spent each month + +You have three tasks: + +1. Evaluate the suitability of each of the four potential instruments. Check if they (1) have *relevance* with a scatterplot and model and F-test, (2) meet the *excludability* assumption, and (3) meet the *exogeneity* assumption. Choose one of these as your main instrument and justify why it's the best. Explain why the other three are not. + +2. Estimate a naive model of the effect of public housing on health status (i.e. without any instruments). You can include any control variables you feel appropriate (i.e. that fit in your causal model). If you use variables that are categorical like race, education, or marital status, make sure you wrap them with `as.factor()` to treat them as categories instead of numbers (e.g. `as.factor(education)`). + +3. Estimate the effect of public housing on health status using 2SLS IV. You can use `iv_robust()` to do it all in one step if you want (but you'll still need to run a first-stage model to find the F statistic). Compare the results with the naive model. Which model do you trust (if any), and why? + +```{r load-housing-data, message=FALSE} +housing <- read_csv("data/public_housing.csv") +``` + +DO ALL THAT HERE. diff --git a/docs/projects/problem-set-8/data/evaluation.dta b/docs/projects/problem-set-8/data/evaluation.dta new file mode 100644 index 00000000..16568337 Binary files /dev/null and b/docs/projects/problem-set-8/data/evaluation.dta differ diff --git a/docs/projects/problem-set-8/problem-set-8.Rproj b/docs/projects/problem-set-8/problem-set-8.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/problem-set-8/problem-set-8.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-8/your-name_problem-set-8.Rmd b/docs/projects/problem-set-8/your-name_problem-set-8.Rmd new file mode 100644 index 00000000..8227c51e --- /dev/null +++ b/docs/projects/problem-set-8/your-name_problem-set-8.Rmd @@ -0,0 +1,241 @@ +--- +title: "Problem set 8: The Health Insurance Subsidy Program" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(estimatr) # For lm_robust() and iv_robust() +library(modelsummary) # For showing side-by-side regression tables +library(MatchIt) # For matching +library(rdrobust) # For nonparametric RD +library(rddensity) # For nonparametric RD density tests +library(haven) # For reading Stata files + +set.seed(1234) # Make any random stuff be the same every time you run this + +# Round everything to 3 digits by default +options("digits" = 3) + +# Turn off the message that happens when you use group_by() and summarize() +options(dplyr.summarise.inform = FALSE) + +# Load raw data +hisp_raw <- read_stata("data/evaluation.dta") + +# Make nice clean dataset to use for the rest of the assignment +hisp <- hisp_raw %>% + # Having a numeric 0/1 column is sometimes helpful for things that don't like + # categories, like matchit() + mutate(enrolled_num = enrolled) %>% + # Convert these 0/1 values to actual categories + mutate(eligible = factor(eligible, labels = c("Not eligible", "Eligible")), + enrolled = factor(enrolled, labels = c("Not enrolled", "Enrolled")), + round = factor(round, labels = c("Before", "After")), + treatment_locality = factor(treatment_locality, labels = c("Control", "Treatment")), + promotion_locality = factor(promotion_locality, labels = c("No promotion", "Promotion"))) %>% + # Get rid of this hospital column because (1) we're not using it, and (2) half + # of the households are missing data, and matchit() complains if any data is + # missing, even if you're not using it + select(-hospital) +``` + + +The World Bank's *Impact Evaluation in Practice* has used a hypothetical example of a health insurance program throughout the book. This Health Insurance Subsidy Program (HISP) provides subsidies for buying private health insurance to poorer households, with the goal of lowering personal health expenditures, since people can rely on insurance coverage instead of paying out-of-pocket. Think of the HISP as a version of the Affordable Care Act (ACA, commonly known as Obamacare). + +The dataset includes a number of important variables you'll use throughout this assignment: + +| Variable name | Description | +| --------------------- | ---------------------------------------------------------------- | +| `health_expenditures` | Out of pocket health expenditures (per person per year) | +| `eligible` | Household eligible to enroll in HISP | +| `enrolled` | Household enrolled in HISP | +| `round` | Indicator for before and after intervention | +| `treatment_locality` | Household is located in treatment community | +| `poverty_index` | 1-100 scale of poverty | +| `promotion_locality` | Household is located in community that received random promotion | +| `enrolled_rp` | Household enrolled in HISP following random promotion | + + +It also includes several demographic variables about the households. **Each of these are backdoor confounders between health expenditures participation in the HISP**: + +| Variable name | Description | +| ------------------- | --------------------------------------------------------- | +| `age_hh` | Age of the head of household (years) | +| `age_sp` | Age of the spouse (years) | +| `educ_hh` | Education of the head of household (years) | +| `educ_sp` | Education of the spouse (years) | +| `female_hh` | Head of household is a woman (1 = yes) | +| `indigenous` | Head of household speaks an indigenous language (1 = yes) | +| `hhsize` | Number of household members | +| `dirtfloor` | Home has a dirt floor (1 = yes) | +| `bathroom` | Home has a private bathroom (1 = yes) | +| `land` | Number of hectares of land owned by household | +| `hospital_distance` | Distance to closest hospital (km) | + + +You will use each of the five main econometric approaches for estimating causal effects to measure the effect of HISP on household health expenditures. **Don't worry about conducting in-depth baseline checks and robustness checks.** For the sake of this assignment, you'll do the minimum amount of work for each method to determine the causal effect of the program. + + +# Task 1: RCTs + +To measure the effect of HISP accurately, World Bank researchers randomly assigned different localities (villages, towns, cities, whatever) to treatment and control groups. Some localities were allowed to join HISP; others weren't. + +Here's what you should do: + +- Make a new dataset that only looks at eligible households (`filter(eligible == "Eligible")`) +- Make a new dataset that only looks at eligible households *after* the experiment (`filter(round == "After")`) +- Calculate the average health expenditures in treatment and control localities (`treatment_locality`) *before* the intervention (`round == "Before"`). Were expenditures fairly balanced across treatment and control groups before the intervention? +- Calculate the average health expenditures in treatment and control localities *after* the intervention (`round == "After"`) +- Determine the difference in average health expenditures across treatment and control *after* the intervention +- Using data *after* the intervention, use linear regression to determine the difference in means and statistical significance of the difference (hint: you'll want to use `health_expenditures ~ treatment_locality`). Use `lm_robust()` from the **estimatr** package and cluster by `locality_identifier` if you're feeling adventurous. +- Create another model that controls for the following variables: `age_hh + age_sp + educ_hh + educ_sp + female_hh + indigenous + hhsize + dirtfloor + bathroom + land + hospital_distance`. (Use `lm_robust()` again if you're brave.) Does the estimate of the causal effect change? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 2: Inverse probability weighting and/or matching + +Instead of using experimental data, we can estimate the causal effect using observational data alone by closing all the confounding backdoors. In this task, you should **choose one of two approaches**: inverse probability weighting or matching. **AGAIN: you only need to do one of these**. You can do both for fun, but you only need to do **one**. + +Do the following (for both approaches): + +- Make a dataset based on `hisp` that only includes observations from after the intervention (`round == "After"`). Even though you technically have a column that indicates if the household was in the treatment group (`treatment_locality`), you're going to pretend that you don't have it This is now observational data—all you know is that a bunch of households participated in HISP and a bunch didn't. +- Run a naive model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using this after-only observational data. What is the effect? Is this accurate? Why or why not? + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + +***If you're using inverse probability weighting***, do the following: + +- Use logistic regression to model the probability of enrolling in the HISP. Hint: you'll need to use `glm()` (replace stuff in `<>` like `` with actual column names or dataset names). Also, note that this code below isn't in an actual R chunk, so don't try to run it. + +```r +model_logit <- glm(enrolled ~ COUNFOUNDER1 + COUNFOUNDER2 + ..., + data = NAME_OF_YOUR_AFTER_DATASET, + family = binomial(link = "logit")) +``` + +- Generate propensity scores for enrollment in the HISP using something like this code (again, this isn't a chunk; don't try to run it): + +```r +enrolled_propensities <- augment_columns(MODEL_NAME, NAME_OF_YOUR_AFTER_DATASET, + type.predict = "response") %>% + rename(p_enrolled = .fitted) +``` + +- Add a new column to `enrolled_propensities` with `mutate()` that calculates the inverse probability weights using this formula (hint: "propensity" will be `p_enrolled`; "Treatment" will be `treatment_num`): + +$$ +\frac{\text{Treatment}}{\text{Propensity}} + \frac{1 - \text{Treatment}}{1 - \text{Propensity}} +$$ + +- Run a model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using the `enrolled_propensities` data, weighting by your new inverse probability weights column. What is the causal effect of HISP on health expenditures? How does this compare to the naive model? Which do you believe more? Why? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +***If you're using matching***, do the following: + +- Use `matchit()` to find the best matches for enrollment based on Mahalanobis nearest neighbor matching. The `matchit()` function can't work with categorical variables, so make sure you use `enrolled_num` instead of `enrolled`. Use code similar to this (replace stuff in `<>` like `` with actual column names or dataset names). Also, note that this code below isn't in an actual R chunk, so don't try to run it. + +```r +matched <- matchit(enrolled_num ~ COUNFOUNDER1 + COUNFOUNDER2 + ..., + data = NAME_OF_YOUR_AFTER_DATASET, + method = "nearest", distance = "mahalanobis", replace = TRUE) +``` + + It might take a minute to run the matching. If you include `cache=TRUE` in the chunk options, R will keep track of when the chunk changes; if you knit and there's been a change to the chunk, R will run the chunk, but if you knit and there's been no changes, R will use the previous output of the chunk and not actually run it. + +- Run `summary(matched)` and see how many rows were matched and how many will be discarded. +- Use `match.data()` to store the results of the match as a new dataset. +- Run a model that estimates the effect of HISP enrollment on health expenditures (`health_expenditures ~ enrolled`) using the matched data, weighting by the `weights` column that `matchit()` generated. What is the causal effect of HISP on health expenditures? How does this compare to the naive model? Which do you believe more? Why? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 3: Diff-in-diff + +Instead of using experimental data, we can estimate the causal effect using observational data alone with a difference-in-difference approach. We have data indicating if households were enrolled in the program (`enrolled`) and data indicating if they were surveyed before or after the intervention (`round`), which means we can find the differences between enrolled/not enrolled before and after the program. + +Do the following: + +- Make a new dataset based on `hisp` that only includes observations from the localities that were randomly chosen for treatment (`treatment_locality == "Treatment"`) +- Using that new dataset, run a regression model that estimates the difference-in-difference effect of being enrolled in the HISP program (huge hint: use `health_expenditures ~ enrolled + round + enrolled * round`). Use `lm_robust()` and cluster by `locality_identifier` if you're brave. What is the causal effect of HISP on health expenditures? +- Run a second model that estimates the difference-in-difference effect, but control for the following variables: `age_hh + age_sp + educ_hh + educ_sp + female_hh + indigenous + hhsize + dirtfloor + bathroom + land + hospital_distance`. (Again, cluster by `locality_identifier` if you're brave.) How does the causal effect change? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 4: RDD + +Eligibility for the HISP is determined by income. Households that have an income of less than 58 on a standardized 1-100 scale (`poverty_index`) qualify for the program and are automatically enrolled. Because we have an arbitrary cutoff in a running variable, we can use regression discontinuity to measure the effect of the program on health expenditures. + +Do the following: + +- Make a new dataset based on `hisp` that only includes observations from the localities that were randomly chosen for treatment (`treatment_locality == "Treatment"`) +- Use `mutate()` to add new variable that centers the poverty index variable at 58 +- Determine if the discontinuity is sharp or fuzzy. (Hint: create a scatterplot with `poverty_index` on the x-axis, `enrolled` on the y-axis, and a vertical line at 58.) +- Determine if the distribution of the running variable (`poverty_index`) has a jump near the cutoff (it shouldn't). (Hint: create a histogram with `poverty_index` on the x-axis and a vertical line at 58. Use a McCrary test to see if there's a significant break in the distribution at 58.) +- Visualize the jump in outcome at the cutoff with a scatterplot (Hint: create a scatterplot with `poverty_index` on the x-axis, `health_expenditures` on the y-xis, color by `enrolled`, add a vertical line at 58, and add trendlines with `geom_smooth(method = "lm")`. You might want to adjust the size and transparency of the points with `geom_point(alpha = 0.2, size = 0.2)` or something similar.) +- Graphically, does it look like the HISP reduces health expenditures? +- Build a parametric regression model to estimate the size of the gap at the cutoff. You'll want to use the centered policy index variable to make it easier to interpret. You probably want to create a new dataset that only includes observations within some bandwidth that you choose (`filter(poverty_index_centered >= SOMETHING & poverty_index_centered <= SOMETHING)`). How big is the effect? +- Use `rdrobust()` from the **rdrobust** library to estimate the size of the gap nonparametrically. For the sake of simplicity, just use the default (automatic) bandwidth and kernel. How big is the effect? + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 5: IVs/2SLS + +Finally, we can use an instrument to remove the endogeneity from the choice to enroll in the HISP and estimate the causal effect from observational data. As you read in chapter 5, World Bank evaluators randomly selected households to receive encouragement to enroll in HISP. You can use this encouragement as an instrument for enrollment. + +Do the following: + +- Create a dataset based on `hisp` that only includes observations from after the intervention (`round == "After"`) +- Build a naive regression model that estimates the effect of HISP enrollment on health expenditures. You'll need to use the `enrolled_rp` variable instead of `enrolled`, since we're measuring enrollment after the encouragement intervention. (Hint: you'll want to use `health_expenditures ~ enrolled_rp`.) What does this naive model tell us about the effect of enrolling in HISP? +- Check the relevance, exclusion, and exogeneity of promotion (`promotion_locality`) as an instrument. For relevance, you'll want to run a model that predicts enrollment based on promotion (hint: `enrolled_rp ~ promotion_locality`) and check (1) the significance of the coefficient and (2) the F-statistic. For exclusion and exogeneity, you'll have to tell a convincing story that proves promotion influences health expenditures *only through* HISP enrollment. +- Run a 2SLS regression model with promotion as the instrument. You can do this by hand if you want (i.e. run a first stage model, extract predicted enrollment, and use predicted enrollment as the second stage), *or* you can just use the `iv_robust()` function from the **estimatr** library. (Hint: you'll want to use `health_expenditures ~ enrolled_rp | promotion_locality` as the formula). After removing the endogeneity from enrollment, what is the casual effect of enrollment in the HISP on health expenditures? +- Show the results from the two regressions in a side-by-side table if you want + +```{r} +# Do that here, either in one big chunk, or in smaller chunks with text in +# between where you answer the questions (preferred) +``` + + +# Task 6: Summary + +You just calculated a bunch of causal effects. List them here. Which one do you trust the most? Why? diff --git a/docs/projects/problem-set-9/problem-set-9.Rproj b/docs/projects/problem-set-9/problem-set-9.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/problem-set-9/problem-set-9.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/problem-set-9/your-name_problem-set-9.Rmd b/docs/projects/problem-set-9/your-name_problem-set-9.Rmd new file mode 100644 index 00000000..3f8b6600 --- /dev/null +++ b/docs/projects/problem-set-9/your-name_problem-set-9.Rmd @@ -0,0 +1,115 @@ +--- +title: "Problem set 9: Making fake data" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) # For ggplot, mutate(), filter(), and friends +library(broom) # For converting models to data frames +library(ggdag) # For drawing DAGs +library(scales) # For rescaling data with rescale() +library(truncnorm) # For truncated normal distributions + +set.seed(1234) # Make any random stuff be the same every time you run this + +# Turn off the message that happens when you use group_by() and summarize() +options(dplyr.summarise.inform = FALSE) +``` + +Many MPA and MPP programs offer a brief math camp in the weeks before students begin their graduate degrees, with the hope that it will help students by more prepared in math-heavy classes like statistics and microeconomics. + +You're interested in evaluating the effectiveness of a hypothetical math camp program. Does attending math camp cause higher grades in statistics classes? + +This program is not randomized and it's not mandatory—anyone can decide to sign up (or not!), which means you have selection bias and confounding to worry about. + +You don't have any data for this, but that's okay! You can simulate some data and set up the infrastructure for answering this question later with real data. + +These two guides will be incredibly helpful for this assignment: + +- Generating random numbers: +- The ultimate guide to generating synthetic data for causal inference: + + +## 1: Draw a DAG that maps out how all the columns you care about are related + +For the sake of this example, we'll think about a DAG with just four nodes. Students' GRE scores and undergraduate GPAs confound both the choice to enroll in math camp and final class grades. Additionally, undergraduate degrees help cause GRE scores. + +```{r math-camp-dag, fig.width=6, fig.height=4, fig.align="center"} +math_camp_dag <- dagify(grade ~ camp + gpa + gre, + camp ~ gpa + gre, + gre ~ gpa, + outcome = "grade", + exposure = "camp", + coords = list(x = c(camp = 1, gpa = 2, gre = 3, grade = 4), + y = c(camp = 1, gpa = 2, gre = 2, grade = 1))) + +ggdag_status(math_camp_dag) + + theme_dag() + + guides(color = "none") # Turn off legend +``` + + +## 2: Specify how those nodes are measured + +Here's how these columns are measured: + +- **GPA**: Scale from 1.5 to 4.0 with two decimals (i.e. values like 3.54 are fine). Mostly clustered around 3.5, plus or minus some amount that you decide. You'll either want to scale down whatever values you create with `rescale()`, or use `rtruncnorm()` to constrain the values within the plausible range. +- **GRE**: Scale from 130 to 170 with no decimals (i.e. values like 145.32 are bad). Mostly clustered around 150, plus or minus some amount that you decide. You'll either want to scale down whatever values you create with `rescale()`, or use `rtruncnorm()` to constrain the values within the plausible range. +- **Math camp**: Binary variable. Roughly 50% of students enroll in math camp. +- **Final grade**: Final exam score in a student's statistics class. Scale from 0 to 100 with one decimal (i.e. values like 75.2 are fine), mostly clustered around 70 (it's a hard test), plus or minus some amount that you decide. + +## 3: Specify the relationships between the nodes based on the DAG equations + +In the DAG, there are three sets of relationships, or models: + +- **GPA is associated with GRE scores**: Every 1 point increase in GPA (i.e. moving from a 2.0 to a 3.0) increases GRE scores by 10, on average. +- **Math camp is associated with undergraduate GPA and GRE scores**: Math camp here is a binary variable, so you can't say things like "every 1 point increase in GRE scores changes math camp by X". Instead, you'll want to do something similar to [the example for creating an effect in an observational DAG](https://evalf21.classes.andrewheiss.com/example/synthetic-data/#creating-an-effect-in-an-observational-dag): create a column named `camp_score`, have GPA and GRE *decrease* that score (since people are less likely to enroll in math camp if they have higher GPAs and GRE scores), rescale that math camp score column to be between 0 and 1 to create a `camp_probability` column, and then randomly assign people to math camp based on those probabilities. I don't care what the size of the GPA and GRE effects are (since they'll be scaled down and binary-ized anyway)—just make it so that the probability of math camp goes down as GPA and GPA go up. +- **Final grade is caused by math camp, undergraduate GPA, and GRE scores**: Every 1 point increase in GPA increases final test scores by 10 points, on average. Every 1 point increase in GRE scores increase final test scores by 0.5 points. *Participating in math camp causes a boost of 10 points.* That's the causal effect you're building in. + +## 4: Generate data based on the DAG relationships + +Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely heavily on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled. + +Generate data for 2500 students. + +You'll probably want to rescale columns so you don't end up with GPAs like 6.3, etc. Rescaling distorts the causal effects you build in, so you probably won't do something like `10 * camp`—it'll likely need to be higher. + +```{r create-data} + +``` + + +## 5: Verify all relationships with plots and models + +Make sure the relationships look good. GPA and GRE should be related to each other. Higher values of GPA and GRE should decrease the likelihood of math camp. GPA, GRE, and math camp should all be positively related with final grades. + +Insert as many chunks as you need to here. + + +## 6: Try it out! + +See if you can find the effect. Run two models: + +- `grade ~ camp`: This is the naive, unadjusted, correlation-is-not-causation estimate. It's wrong. +- `grade ~ camp + gpa + gre`: This is the adjusted estimate. Backdoors have been closed and the coefficient for `camp` should be the causal effect. It should be around 10. +- (If you want to be super cool, adjust for GPA and GRE with inverse probability weighting too to see if the ATE for `camp` still holds. This is entirely optional.) + +Insert as many chunks as you need to here. + + +## 7: Save the data + +Make a version of your fake data that removes all the intermediate columns you made. Save the final clean data as a CSV file with `write_csv()`. + +Insert a chunk here to do that. diff --git a/docs/projects/rcts-ipw/data/lalonde.csv b/docs/projects/rcts-ipw/data/lalonde.csv new file mode 100644 index 00000000..075fed15 --- /dev/null +++ b/docs/projects/rcts-ipw/data/lalonde.csv @@ -0,0 +1,615 @@ +treat,age,educ,race,married,nodegree,re74,re75,re78 +1,37,11,black,1,1,0,0,9930.046 +1,22,9,hispan,0,1,0,0,3595.894 +1,30,12,black,0,0,0,0,24909.45 +1,27,11,black,0,1,0,0,7506.146 +1,33,8,black,0,1,0,0,289.7899 +1,22,9,black,0,1,0,0,4056.494 +1,23,12,black,0,0,0,0,0 +1,32,11,black,0,1,0,0,8472.158 +1,22,16,black,0,0,0,0,2164.022 +1,33,12,white,1,0,0,0,12418.07 +1,19,9,black,0,1,0,0,8173.908 +1,21,13,black,0,0,0,0,17094.64 +1,18,8,black,0,1,0,0,0 +1,27,10,black,1,1,0,0,18739.93 +1,17,7,black,0,1,0,0,3023.879 +1,19,10,black,0,1,0,0,3228.503 +1,27,13,black,0,0,0,0,14581.86 +1,23,10,black,0,1,0,0,7693.4 +1,40,12,black,0,0,0,0,10804.32 +1,26,12,black,0,0,0,0,10747.35 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+25061,1,0,NA,NA,NA,136,90,0,29,0,19,2,10,2,165.5,90.83,106.59420695,15.764206950000002,54,30,-30,14,0,0,0,0,2,0,0,0,0,0,2,0,0,0,1,2,1,6,2,0,1,0,0,0,0,2,2,0,0,1,1,2,NA,243,0,2.16796875,1.940185546875,1.0498046875,0.5499267578125,0.227874755859375,0.5,1629,0,0 diff --git a/docs/projects/rcts-ipw/data/nhefs_codebook.csv b/docs/projects/rcts-ipw/data/nhefs_codebook.csv new file mode 100644 index 00000000..1c2c1b20 --- /dev/null +++ b/docs/projects/rcts-ipw/data/nhefs_codebook.csv @@ -0,0 +1,65 @@ +variable,description +active,"IN YOUR USUAL DAY, HOW ACTIVE ARE YOU? IN 1971, 0:very active, 1:moderately active, 2:inactive" +age,AGE IN 1971 +alcoholfreq,"HOW OFTEN DO YOU DRINK? IN 1971 0: Almost every day, 1: 2-3 times/week, 2: 1-4 times/month, 3: < 12 times/year, 4: No alcohol last year, 5: Unknown" +alcoholhowmuch,"WHEN YOU DRINK, HOW MUCH DO YOU DRINK? IN 1971" +alcoholpy,"HAVE YOU HAD 1 DRINK PAST YEAR? IN 1971, 1:EVER, 0:NEVER; 2:MISSING" +alcoholtype,"WHICH DO YOU MOST FREQUENTLY DRINK? IN 1971 1: BEER, 2: WINE, 3: LIQUOR, 4: OTHER/UNKNOWN" +allergies,"USE ALLERGIES MEDICATION IN 1971, 1:EVER, 0:NEVER" +asthma,"DX ASTHMA IN 1971, 1:EVER, 0:NEVER" +bithcontrol,"BIRTH CONTROL PILLS PAST 6 MONTHS? IN 1971 1:YES, 0:NO, 2:MISSING" +birthplace,CHECK STATE CODE - SECOND PAGE +boweltrouble,"USE BOWEL TROUBLE MEDICATION IN 1971, 1:EVER, 0:NEVER, ; 2:MISSING" +bronch,"DX CHRONIC BRONCHITIS/EMPHYSEMA IN 1971, 1:EVER, 0:NEVER" +cholesterol,SERUM CHOLESTEROL (MG/100ML) IN 1971 +chroniccough,"DX CHRONIC COUGH IN 1971, 1:EVER, 0:NEVER" +colitis,"DX COLITIS IN 1971, 1:EVER, 0:NEVER" +dadth,DAY OF DEATH +dbp,DIASTOLIC BLOOD PRESSURE IN 1982 +death,"DEATH BY 1992, 1:YES, 0:NO" +diabetes,"DX DIABETES IN 1971, 1:EVER, 0:NEVER, 2:MISSING" +education,"AMOUNT OF EDUCATION BY 1971: 1: 8TH GRADE OR LESS, 2: HS DROPOUT, 3: HS, 4:COLLEGE DROPOUT, 5: COLLEGE OR MORE" +exercise,"IN RECREATION, HOW MUCH EXERCISE? IN 1971, 0:much exercise,1:moderate exercise,2:little or no exercise" +hayfever,"DX HAY FEVER IN 1971, 1:EVER, 0:NEVER" +hbp,"DX HIGH BLOOD PRESSURE IN 1971, 1:EVER, 0:NEVER, 2:MISSING" +hbpmed,"USE HIGH BLOOD PRESSURE MEDICATION IN 1971, 1:EVER, 0:NEVER, ; 2:MISSING" +headache,"USE HEADACHE MEDICATION IN 1971, 1:EVER, 0:NEVER" +hepatitis,"DX HEPATITIS IN 1971, 1:EVER, 0:NEVER" +hf,"DX HEART FAILURE IN 1971, 1:EVER, 0:NEVER" +hightax82,"LIVING IN A HIGHLY TAXED STATE IN 1982, High taxed state of residence=1, 0 otherwise" +ht,HEIGHT IN CENTIMETERS IN 1971 +income,"TOTAL FAMILY INCOME IN 1971 11:<$1000, 12: 1000-1999, 13: 2000-2999, 14: 3000-3999, 15: 4000-4999, 16: 5000-5999, 17: 6000-6999, 18: 7000-9999, 19: 10000-14999, 20: 15000-19999, 21: 20000-24999, 22: 25000+" +infection,"USE INFECTION MEDICATION IN 1971, 1:EVER, 0:NEVER" +lackpep,"USELACK OF PEP MEDICATION IN 1971, 1:EVER, 0:NEVER" +marital,"MARITAL STATUS IN 1971 1: Under 17, 2: Married, 3: Widowed, 4: Never married, 5: Divorced, 6: Separated, 8: Unknown" +modth,MONTH OF DEATH +nerves,"USE NERVES MEDICATION IN 1971, 1:EVER, 0:NEVER" +nervousbreak,"DX NERVOUS BREAKDOWN IN 1971, 1:EVER, 0:NEVER" +otherpain,"USE OTHER PAINS MEDICATION IN 1971, 1:EVER, 0:NEVER" +pepticulcer,"DX PEPTIC ULCER IN 1971, 1:EVER, 0:NEVER" +pica,"DO YOU EAT DIRT OR CLAY, STARCH OR OTHER NON STANDARD FOOD? IN 1971 1:EVER, 0:NEVER; 2:MISSING" +polio,"DX POLIO IN 1971, 1:EVER, 0:NEVER" +pregnancies,TOTAL NUMBER OF PREGNANCIES? IN 1971 +price71,AVG TOBACCO PRICE IN STATE OF RESIDENCE 1971 (US$2008) +price71_82,DIFFERENCE IN AVG TOBACCO PRICE IN STATE OF RESIDENCE 1971-1982 (US$2008) +price82,AVG TOBACCO PRICE IN STATE OF RESIDENCE 1982 (US$2008) +qsmk,"QUIT SMOKING BETWEEN 1ST QUESTIONNAIRE AND 1982, 1:YES, 0:NO" +race,0: WHITE 1: BLACK OR OTHER IN 1971 +sbp,SYSTOLIC BLOOD PRESSURE IN 1982 +school,HIGHEST GRADE OF REGULAR SCHOOL EVER IN 1971 +seqn,UNIQUE PERSONAL IDENTIFIER +sex,0: MALE 1: FEMALE +smokeintensity,NUMBER OF CIGARETTES SMOKED PER DAY IN 1971 +smkintensity 82_71,INCREASE IN NUMBER OF CIGARETTES/DAY BETWEEN 1971 and 1982 +smokeyrs,YEARS OF SMOKING +tax71,TOBACCO TAX IN STATE OF RESIDENCE 1971 (US$2008) +tax71_82,DIFFERENCE IN TOBACCO TAX IN STATE OF RESIDENCE 1971-1982 (US$2008) +tax82,TOBACCO TAX IN STATE OF RESIDENCE 1971 (US$2008) +tb,"DX TUBERCULOSIS IN 1971, 1:EVER, 0:NEVER" +tumor,"DX MALIGNANT TUMOR/GROWTH IN 1971, 1:EVER, 0:NEVER" +weakheart,"USE WEAK HEART MEDICATION IN 1971, 1:EVER, 0:NEVER" +wt71,WEIGHT IN KILOGRAMS IN 1971 +wt82,WEIGHT IN KILOGRAMS IN 1982 +wt82_71,WEIGHT CHANGE IN KILOGRAMS +wtloss,"USE WEIGHT LOSS MEDICATION IN 1971, 1:EVER, 0:NEVER" +yrdth,YEAR OF DEATH diff --git a/docs/projects/rcts-ipw/data/oregon.csv b/docs/projects/rcts-ipw/data/oregon.csv new file mode 100644 index 00000000..b6ac878c --- /dev/null +++ b/docs/projects/rcts-ipw/data/oregon.csv @@ -0,0 +1,23488 @@ +treatment,owe_medical_12 +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Treated,Don't Owe Money +Not Treated,Owe Money +Not Treated,Don't Owe Money +Treated,Owe Money +Not Treated,Owe Money +Treated,Don't Owe Money diff --git a/docs/projects/rcts-ipw/data/vaccines-readme.docx b/docs/projects/rcts-ipw/data/vaccines-readme.docx new file mode 100644 index 00000000..08cd8e6e Binary files /dev/null and b/docs/projects/rcts-ipw/data/vaccines-readme.docx differ diff --git a/docs/projects/rcts-ipw/data/vaccines.dta b/docs/projects/rcts-ipw/data/vaccines.dta new file mode 100644 index 00000000..e6b982fb Binary files /dev/null and b/docs/projects/rcts-ipw/data/vaccines.dta differ diff --git a/docs/projects/rcts-ipw/img/oregon-medicaid.jpg b/docs/projects/rcts-ipw/img/oregon-medicaid.jpg new file mode 100644 index 00000000..e4e74382 Binary files /dev/null and b/docs/projects/rcts-ipw/img/oregon-medicaid.jpg differ diff --git a/docs/projects/rcts-ipw/ipw_job-training.Rmd b/docs/projects/rcts-ipw/ipw_job-training.Rmd new file mode 100644 index 00000000..8d9fb741 --- /dev/null +++ b/docs/projects/rcts-ipw/ipw_job-training.Rmd @@ -0,0 +1,106 @@ +--- +title: "IPW: Job training" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Did a job training program increase incomes? + +> The National Supported Work Demonstration project [was] a transitional, subsidized work experience program for four target groups of people with longstanding employment problems: ex-offenders, former drug addicts, women who were long-term recipients of welfare benefits, and school dropouts, many with criminal records. The program provided up to 12-18 months of employment to about 10,000 individuals at 15 locations across the country for four years. In ten of these sites -- Atlanta, Chicago, Hartford, Jersey City, Newark, New York, Philadelphia, Oakland, San Francisco, and Wisconsin, 6,600 eligible applicants were randomly assigned either to experimental groups (offered a job in supported work) or to control groups, and an evaluation was conducted on the effects of the Supported Work Program. ([See here](https://www.icpsr.umich.edu/web/ICPSR/studies/7865) for more details.) + +In 1986, Robert LaLonde [analyzed the results](https://www.jstor.org/stable/1806062) from this experiment and later compared it to observational data. We're going to use his data to see if participating in the job training program increased incomes. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +lalonde <- read_csv("data/lalonde.csv") +``` + +**Causal variables**: + +- Treatment/exposure: `treat` (Individual was assigned to the job training program, 1 = yes, 0 = no) +- Outcome: `re78` (Individual's income in 1978, in US dollars) + +**Possible confounders**: + +- `age`: age in years +- `educ`: education in number of years of schooling +- `race`: the individual's race/ethnicity, (Black, Hispanic, or White) +- `married`: an indicator for marital status (1 = married, 0 = not married) +- `nodegree`: an indicator for whether the individual has a high school degree (1 = no degree, 0 = degree) +- `re74`: income in 1974, in US dollars +- `re75`: income in 1975, in US dollars + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +# Density plot +``` + +```{r} +# group_by + summarize +``` + +```{r} +# Naive model +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=7} +set.seed(1234) + +treat_income_dag <- dagify( + # Specify causes of job training program and 1978 income: + treat ~ educ + race + married + nodegree + re74 + re75, + re78 ~ educ + race + married + nodegree + re74 + re75, + # Specify causal question: + exposure = "treat", + outcome = "re78" +) + +ggdag_status(treat_income_dag) +``` + +## Treatment model + +```{r} +# Treatment model +``` + + +## Propensity scores and weights + +```{r} +# Propensity scores and weights +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +# Check weights +``` + +```{r} +# Check average of weights +``` + + +## Outcome model + +```{r} +# Outcome model +``` diff --git a/docs/projects/rcts-ipw/ipw_job-training_finished.Rmd b/docs/projects/rcts-ipw/ipw_job-training_finished.Rmd new file mode 100644 index 00000000..be16d241 --- /dev/null +++ b/docs/projects/rcts-ipw/ipw_job-training_finished.Rmd @@ -0,0 +1,196 @@ +--- +title: "IPW: Job training" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Did a job training program increase incomes? + +> The National Supported Work Demonstration project [was] a transitional, subsidized work experience program for four target groups of people with longstanding employment problems: ex-offenders, former drug addicts, women who were long-term recipients of welfare benefits, and school dropouts, many with criminal records. The program provided up to 12-18 months of employment to about 10,000 individuals at 15 locations across the country for four years. In ten of these sites -- Atlanta, Chicago, Hartford, Jersey City, Newark, New York, Philadelphia, Oakland, San Francisco, and Wisconsin, 6,600 eligible applicants were randomly assigned either to experimental groups (offered a job in supported work) or to control groups, and an evaluation was conducted on the effects of the Supported Work Program. ([See here](https://www.icpsr.umich.edu/web/ICPSR/studies/7865) for more details.) + +In 1986, Robert LaLonde [analyzed the results](https://www.jstor.org/stable/1806062) from this experiment and later compared it to observational data. We're going to use his data to see if participating in the job training program increased incomes. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +lalonde <- read_csv("data/lalonde.csv") +``` + +**Causal variables**: + +- Treatment/exposure: `treat` (Individual was assigned to the job training program, 1 = yes, 0 = no) +- Outcome: `re78` (Individual's income in 1978, in US dollars) + +**Possible confounders**: + +- `age`: age in years +- `educ`: education in number of years of schooling +- `race`: the individual's race/ethnicity, (Black, Hispanic, or White) +- `married`: an indicator for marital status (1 = married, 0 = not married) +- `nodegree`: an indicator for whether the individual has a high school degree (1 = no degree, 0 = degree) +- `re74`: income in 1974, in US dollars +- `re75`: income in 1975, in US dollars + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +ggplot(lalonde, aes(x = re78, fill = factor(treat))) + + geom_density(alpha = 0.5) +``` + +```{r} +lalonde %>% + group_by(treat) %>% + summarize(avg_income = mean(re78)) +``` + +```{r} +model_naive <- lm(re78 ~ treat, data = lalonde) +tidy(model_naive, conf.int = TRUE) +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=7} +set.seed(1234) + +treat_income_dag <- dagify( + # Specify causes of job training program and 1978 income: + treat ~ educ + race + married + nodegree + re74 + re75, + re78 ~ educ + race + married + nodegree + re74 + re75, + # Specify causal question: + exposure = "treat", + outcome = "re78" +) + +ggdag_status(treat_income_dag) +``` + +## Treatment model + +```{r} +treatment_model <- glm(treat ~ age + educ + race + married + + nodegree + re74 + re75, + data = lalonde, + family = binomial(link = "logit")) +tidy(treatment_model) +``` + + +## Propensity scores and weights + +```{r} +lalonde_wts <- augment(treatment_model, lalonde, type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(ipw = (treat / propensity) + ((1 - treat) / (1 - propensity))) +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +ggplot(lalonde_wts, aes(x = ipw)) + + geom_density(fill = "darkred") +``` + +```{r} +lalonde_wts %>% summarize(avg_wt = mean(ipw)) +mean(lalonde_wts$ipw) +``` + + +## Outcome model + +```{r} +outcome_model <- lm(re78 ~ treat, data = lalonde_wts, weights = ipw) +tidy(outcome_model, conf.int = TRUE) +``` + +## Outcome model with bootstrapped standard errors and confidence intervals + +```{r} +fit_one_ipw <- function(split) { + # Work with just a sampled subset of the full data + current_data <- analysis(split) + + # Fit propensity score model + treatment_model <- glm(treat ~ age + educ + race + married + + nodegree + re74 + re75, + data = current_data, + family = binomial(link = "logit")) + + # Calculate inverse probability weights + lalonde_wts <- augment(treatment_model, current_data, type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(ipw = (treat / propensity) + ((1 - treat) / (1 - propensity))) + + # Fit outcome model with IPWs + model_outcome <- lm(re78 ~ treat, data = lalonde_wts, weights = ipw) + + # Return a tidied version of the model results + return(tidy(model_outcome)) +} + +# Make 1000 copies of the data and run the IPW model on each one +library(rsample) + +ipw_bootstrap_stats <- bootstraps(lalonde, 1000, apparent = TRUE) %>% + mutate(results = map(splits, fit_one_ipw)) + +ipw_bootstrap_stats %>% + unnest(results) %>% + filter(term == "treat") + + +ipw_bootstrap_stats %>% + unnest(results) %>% + filter(term == "treat") %>% + summarize(avg_treat = mean(estimate), + avg_se = sqrt(mean(std.error^2) + var(estimate))) + +ipw_bootstrap_stats %>% + int_t(results) +``` + + +```{r warning=FALSE, message=FALSE, results="hide"} +library(brms) +library(broom.mixed) +library(tidybayes) + +outcome_bayes <- brm( + bf(re78 | weights(ipw) ~ treat), + data = lalonde_wts, + cores = 4 +) +``` + +```{r} +tidy(outcome_bayes) +``` + +```{r} +get_variables(outcome_bayes) + +outcome_draws <- outcome_bayes %>% + gather_draws(b_treat) + +ggplot(outcome_draws, aes(x = .value)) + + stat_halfeye() + + geom_vline(xintercept = 0) + +outcome_draws %>% + summarize(prob_gt_0 = sum(.value > 0) / n()) +``` diff --git a/docs/projects/rcts-ipw/ipw_smoking.Rmd b/docs/projects/rcts-ipw/ipw_smoking.Rmd new file mode 100644 index 00000000..48f2986d --- /dev/null +++ b/docs/projects/rcts-ipw/ipw_smoking.Rmd @@ -0,0 +1,144 @@ +--- +title: "IPW: Smoking and weight gain" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Do people who quit smoking gain weight? + +The NHANES I Epidemiologic Follow-up Study (NHEFS) is a national longitudinal study that was jointly initiated by the National Center for Health Statistics and the National Institute on Aging in collaboration with other agencies of the Public Health Service. The NHEFS was designed to investigate the relationships between clinical, nutritional, and behavioral factors. ([See here](https://wwwn.cdc.gov/nchs/nhanes/nhefs/) for complete details.) + +You're going to use data from the NHEFS to find the causal effect of quitting smoking on weight gain. + + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(ggdag) + +# TODO: Use read_csv() to load data/nhefs.csv + +# TODO: Use read_csv() to load data/nhefs_codebook.csv (so you can know what the +# different columns are actually measuring) +``` + +**Causal variables**: + +- Treatment/exposure: `qsmk` (Respondent quit smoking between 1st questionnaire and 1982, 1 = yes, 0 = no) +- Outcome: `wt82_71` (Respondent weight change between 1971 and 1982 in kilograms) + +**Confounders**: + +- Demographics + - `age`: age + - `sex`: sex + - `race`: race + - `education`: education +- Health + - `wt71`: baseline weight in 1971 + - `active`: daily activity level + - `exercise`: exercise +- Smoking history + - `smokeintensity`: smoking intensity + - `smokeyrs`: years of smoking + + +## Check difference in outcome across treatment status + +Is there a visual difference? + +```{r} +# TODO: Make a density plot of wt82_71 that is filled by factor(qsmk) (so that +# the 0/1 is treated as a categorical variable) +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average weight gain among +# smokers and nonsmokers +``` + +```{r} +# TODO: Use lm() to calculate a naive estimate of the "effect" of quitting +# smoking on weight gain +``` + + +## Draw a DAG + +```{r fig.height=5, fig.width=8} +set.seed(1234) + +smk_wt_dag <- dagify( + # Specify causes of quitting smoking and weight gain: + qsmk ~ sex + race + age + education + + smokeintensity + smokeyrs + exercise + active + wt71, + wt82_71 ~ qsmk + sex + race + age + education + + smokeintensity + smokeyrs + exercise + active + wt71, + # Specify causal question: + exposure = "qsmk", + outcome = "wt82_71" +) + +ggdag_status(smk_wt_dag) +``` + +## Treatment model + +```{r} +# TODO: Create a model that predicts quitting smoking (qsmk) based on all the +# confounders. For fun, try accounting for nonlinearities in age, +# smokeintensity, smokeyrs, and wt71 too (hint: include a term like I(age^2) in +# addition to age) +``` + + + +## Propensity scores and weights + +```{r} +# TODO: Plug the original dataset into the model using augment() and generate +# propensity scores for each observation +# +# TODO: Create a new column of inverse probability weights using this formula: +# +# (treatment / propensity) + ((1 - treatment) / (1 - propensity)) +# +# It should look something like this: +# mutate(ipw = (qsmk / propensity) + ((1 - qsmk) / (1 - propensity))) +``` + +Investigate your weights. They should be clustered around 1 (with an average of 1), without any huge values. + +```{r} +# Visualize the distribution of weights. +``` + +```{r} +# Calculate the average of your weights. It should be around 1 +``` + +## Outcome model + +```{r} +# TODO: Use lm() to estimate the effect of quitting smoking (qsmk) on weight +# gain (wt82_71) and incorporate the inverse probability weights. How much +# weight gain does quitting smoking *cause*? +# +# TODO: Is this effect significant? Interpret the confidence interval. +``` + +```{r} +# TODO: For bonus fun and games, run a Bayesian outcome model with the brms +# package so that you can talk about credible intervals. Specifying weights with +# brms is a little different than with lm(). There's no weights argument. +# Instead, you have to include the weights in the formula like this: +# +# brm(bf(outcome | weights(ipw) ~ treatment), +# data = whatever) +``` diff --git a/docs/projects/rcts-ipw/rct_oregon.Rmd b/docs/projects/rcts-ipw/rct_oregon.Rmd new file mode 100644 index 00000000..3df61bf0 --- /dev/null +++ b/docs/projects/rcts-ipw/rct_oregon.Rmd @@ -0,0 +1,57 @@ +--- +title: "RCT: Medicaid and medical debt" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does receiving Medicaid reduce medical debt? + +In 2008, in response to the ACA's mandate that states expand Medicaid eligibility, Oregon used a lottery to randomly assign people to receive Medicaid ([see here](https://www.nber.org/programs-projects/projects-and-centers/oregon-health-insurance-experiment) for more details). Researchers tracked (and continue to track) a whole host of health and financial outcomes as a result of receiving access to Medicaid. + +You're going to investigate the effect of Medicaid on one outcome: + +![Excerpt from Oregon Medicaid study codebook](img/oregon-medicaid.jpg) + +## Load data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# TODO: Use read_csv() to load data/oregon.csv +``` + + +## Clean data + +There are two categorical columns in this dataset. It will make it easier to calculate differences in proportions if we have numeric versions of the columns too. Use `mutate()` and `case_when()` (look at the dplyr cheatsheet) to add two new columns: + +- `treatment_num`: 0 if not treated, 1 if treated +- `outcome_num`: 0 if the person doesn't owe money, 1 if the person does owe money + +```{r} +# TODO: Add two new columns with numeric versions of treatment and outcome +``` + + +## Find the difference in outcome caused by treatment + +```{r} +# TODO: Use group_by() and summarize() (or just count()) to calculate the number +# of people in the treatment and control groups who do and don't have medical +# debt. Is there a difference? +``` + +```{r} +# TODO: Use lm() to calculate the exact difference in the proportion of people +# with medical debt across the treatment and control groups. Is the difference +# significant? +``` + +```{r} +# TODO: For bonus fun, try to visualize the difference in proportions +``` diff --git a/docs/projects/rcts-ipw/rct_vaccine-payments.Rmd b/docs/projects/rcts-ipw/rct_vaccine-payments.Rmd new file mode 100644 index 00000000..59649205 --- /dev/null +++ b/docs/projects/rcts-ipw/rct_vaccine-payments.Rmd @@ -0,0 +1,123 @@ +--- +title: "RCT: Vaccine payments" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does paying people cause people to get vaccinated against COVID-19? + +An RCT in Sweden found that giving people 200 Swedish kroner (≈$24 USD) increased vaccination rates by 4.2 percentage points. ([See here](https://www.science.org/doi/full/10.1126/science.abm0475) for full details.) + +We're going to re-analyze their data. + + +## Load and clean data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(haven) # For reading Stata files + +vaccines_raw <- read_stata("data/vaccines.dta") +``` + +```{r} +print_labels(vaccines_raw$treatment) +``` + +```{r} +# Clean up treatment variable and check treatment assignment +``` + + +```{r} +# group_by + summarize to see averages of vaccinated and intention1 +``` + + +```{r} +# Basic model with lm +``` + + +```{r} +# Cleaner data +# vaccines_clean <- vaccines_raw %>% +# mutate(across(c(female, age_band, region, covid1_2, civilstatus, +# haschildren, education, occupation, +# mother, father, income), +# factor)) %>% +# filter(already_vacced == 0, !is.na(intention1)) +``` + + +```{r} +model_vacc <- lm(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc) +``` + +```{r} +model_intent <- lm(intention1 ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent) +``` + +```{r} +model_vacc_nudge <- lm(vaccinated ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc_nudge) + +model_intent_nudge <- lm(intention1 ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent_nudge) +``` + +```{r} +plot_stuff <- bind_rows(Uptake_Payment = tidy(model_vacc, conf.int = TRUE), + Intentions_Payment = tidy(model_intent, conf.int = TRUE), + Uptake_Nudges = tidy(model_vacc_nudge, conf.int = TRUE), + Intentions_Nudges = tidy(model_intent_nudge, conf.int = TRUE), + .id = "outcome") %>% + separate(outcome, into = c("outcome", "condition")) + +plot_filtered <- plot_stuff %>% + filter((condition == "Payment" & str_detect(term, "treat_")) | + (condition == "Nudges" & term == "nudge")) %>% + mutate(term = factor(term, levels = c("treat_pay", "nudge", "treat_soc", + "treat_arg", "treat_info", "treat_min"))) + + +ggplot(plot_filtered, aes(x = estimate, y = fct_rev(term), color = outcome)) + + geom_vline(xintercept = 0) + + geom_pointrange(aes(xmin = conf.low, xmax = conf.high), + position = position_dodge(width = 0.25)) +``` + +## Nicer way with `feols()` + +```{r} +# fixest::feols() with robust SEs +``` diff --git a/docs/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd b/docs/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd new file mode 100644 index 00000000..103f7a06 --- /dev/null +++ b/docs/projects/rcts-ipw/rct_vaccine-payments_finished.Rmd @@ -0,0 +1,171 @@ +--- +title: "RCT: Vaccine payments" +output: html_document +date: '2023-02-23' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +# Does paying people cause people to get vaccinated against COVID-19? + +An RCT in Sweden found that giving people 200 Swedish kroner (≈$24 USD) increased vaccination rates by 4.2 percentage points. ([See here](https://www.science.org/doi/full/10.1126/science.abm0475) for full details.) + +We're going to re-analyze their data. + + +## Load and clean data + +```{r libraries-data, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(haven) # For reading Stata files + +vaccines_raw <- read_stata("data/vaccines.dta") +``` + +```{r} +print_labels(vaccines_raw$treatment) +``` + +```{r} +vaccines_trt_ctrl <- vaccines_raw %>% + filter(treatment %in% c(0, 5)) %>% + mutate(treatment_nice = case_when( + treatment == 0 ~ "Received payment", + treatment == 5 ~ "Control group" + )) + +vaccines_trt_ctrl %>% + count(treatment_nice) +``` + + +```{r} +vaccines_trt_ctrl %>% + group_by(treatment_nice) %>% + summarize(vaccination = mean(vaccinated), + intention = mean(intention1)) +``` + + +```{r} +lm(vaccinated ~ treatment_nice, data = vaccines_trt_ctrl) %>% tidy() +``` + + +```{r} +vaccines_clean <- vaccines_raw %>% + mutate(across(c(female, age_band, region, covid1_2, civilstatus, + haschildren, education, occupation, + mother, father, income), + factor)) %>% + filter(already_vacced == 0, !is.na(intention1)) +``` + + +```{r} +model_vacc <- lm(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc) +``` + +```{r} +model_intent <- lm(intention1 ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent) +``` + +```{r} +model_vacc_nudge <- lm(vaccinated ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_vacc_nudge) + +model_intent_nudge <- lm(intention1 ~ treat_pay + nudge + treat_min + + female + age_band*region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean) + +tidy(model_intent_nudge) +``` + +```{r} +plot_stuff <- bind_rows(Uptake_Payment = tidy(model_vacc, conf.int = TRUE), + Intentions_Payment = tidy(model_intent, conf.int = TRUE), + Uptake_Nudges = tidy(model_vacc_nudge, conf.int = TRUE), + Intentions_Nudges = tidy(model_intent_nudge, conf.int = TRUE), + .id = "outcome") %>% + separate(outcome, into = c("outcome", "condition")) + +plot_filtered <- plot_stuff %>% + filter((condition == "Payment" & str_detect(term, "treat_")) | + (condition == "Nudges" & term == "nudge")) %>% + mutate(term = factor(term, levels = c("treat_pay", "nudge", "treat_soc", + "treat_arg", "treat_info", "treat_min"))) + + +ggplot(plot_filtered, aes(x = estimate, y = fct_rev(term), color = outcome)) + + geom_vline(xintercept = 0) + + geom_pointrange(aes(xmin = conf.low, xmax = conf.high), + position = position_dodge(width = 0.25)) +``` + +## Nicer way with `feols()` + +```{r} +library(fixest) + +example_model <- feols(vaccinated ~ treat_pay + + treat_soc + treat_arg + treat_info + treat_min | + female + age_band^region + covid1_2 + civilstatus + + haschildren + education + occupation + + mother + father + income, + data = vaccines_clean, + vcov = "hetero") + +tidy(example_model) +``` + +# Bayesian stuff + +```{r warning=FALSE, message=FALSE, results="hide"} +library(brms) +library(tidybayes) + +model_bayes <- brm( + bf(vaccinated ~ treat_pay + treat_soc + treat_arg + treat_info + treat_min + + female + covid1_2 + civilstatus + haschildren), + data = vaccines_clean, + cores = 4 +) +``` + +```{r} +get_variables(model_bayes) + +model_draws <- model_bayes %>% + gather_draws(c(b_treat_pay, b_treat_min)) + +ggplot(model_draws, aes(x = .value, y = .variable)) + + stat_halfeye() + +model_draws %>% + filter(.variable == "b_treat_pay") %>% + summarize(prop_gt_0 = sum(.value > 0) / n()) +``` diff --git a/docs/projects/rcts-ipw/rcts-ipw.Rproj b/docs/projects/rcts-ipw/rcts-ipw.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/rcts-ipw/rcts-ipw.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/regression-example/complete-regression-example.Rmd b/docs/projects/regression-example/complete-regression-example.Rmd new file mode 100644 index 00000000..e4d4936c --- /dev/null +++ b/docs/projects/regression-example/complete-regression-example.Rmd @@ -0,0 +1,261 @@ +--- +title: "SAT scores and college GPA" +output: + html_document: + toc: yes +--- + +# Introduction + +SAT scores have long been a major factor in college admissions, under the assumption that students with higher test scores will perform better in college and receive a higher GPA. The SAT's popularity [has dropped in recent years](https://www.washingtonpost.com/news/answer-sheet/wp/2017/04/12/the-list-of-test-optional-colleges-and-universities-keeps-growing-despite-college-boards-latest-jab/), though, and this summer, the [University of Chicago announced that it would stop requiring SAT scores for all prospective undergraduates](http://www.chicagotribune.com/news/local/breaking/ct-university-chicago-sat-act-20180614-story.html). + +Educational Testing Service (ETS), the creator of the SAT, collected SAT scores, high school GPAs, and freshman-year-college GPAs for 1,000 students at an unnamed university.[^note] + +[^note]: This is real data about real students, [compiled and cleaned by a professor at Dartmouth.](https://www.dartmouth.edu/~chance/course/Syllabi/Princeton96/Class12.html) + +You are a university admissions officer and you are curious if SAT scores really do predict college performance. You're also interested in other factors that could influence student performance. + +The data contains 6 variables: + +- `sex`: The sex of the student (male or female; female is the base case) +- `sat_verbal`: The student's *percentile* score in the verbal section of the SAT +- `sat_math`: The student's *percentile* score in the math section of the SAT +- `sat_total`: `sat_verbal` + `sat_math` +- `gpa_hs`: The student's GPA in high school at graduation +- `gpa_fy`: The student's GPA at the end of their freshman year + +```{r load-libraries, message=FALSE, warning=FALSE} +# First we load the libraries and data +library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. +library(broom) # This lets you convert regression models into nice tables +library(modelsummary) # This lets you combine multiple regression models into a single table + +# Load the data. +# It'd be a good idea to click on the "sat_gpa" object in the Environment panel +# in RStudio to see what the data looks like after you load it. +sat_gpa <- read_csv("data/sat_gpa.csv") +``` + +# Exploratory questions + +## How well do SAT scores correlate with freshman GPA? + +```{r sat-gpa-correlation} +# Note the syntax here with the $. That lets you access columns. The general +# pattern is name_of_data_set$name_of_column +cor(sat_gpa$gpa_fy, sat_gpa$sat_total) +``` + +SAT scores and first-year college GPA are moderately positively correlated (r = 0.46). As one goes up, the other also tends to go up. + +Here's what that relationship looks like: + +```{r plot-sat-gpa-correlation, fig.width=6, fig.height=4, fig.align='center'} +# Notice that I set a bunch of extra chunk options here, like fig.width and +# fig.height. You can do this by clicking on the little gear icon in the top +# right corner of chunks. +ggplot(sat_gpa, aes(x = sat_total, y = gpa_fy)) + + geom_point(size = 0.5) + + geom_smooth(method = "lm", se = FALSE) + + labs(x = "Total SAT score", y = "Freshman GPA") +``` + +## How well does high school GPA correlate with freshman GPA? + +```{r hs-gpa-correlation} +# We'll calculate another correlation, but we'll do something a little different +# this time. Notice how above, we calculated the correlation but then had to +# write the number manually in the text ("SAT scores and first-year college GPA +# are moderately positively correlated (r = 0.46)."). We don't need to manually +# type that 0.46. Instead, we can save it as a variable and use it later: +hs_gpa_cor <- cor(sat_gpa$gpa_fy, sat_gpa$gpa_hs) + +# After you run this, you won't see anything (except in the Environment panel in +# RStudio). If you want to see it, run the name of the object: +hs_gpa_cor + +# You can use this number in regular text with a special kind of syntax, +# essentially making an inline chunk of R code: `r put_r_code_here` +``` + +High school and freshman GPAs are also moderately correlated (r = `r round(hs_gpa_cor, 2)`), but with a slightly stronger relationship. + +Here's what that relationship looks like: + +```{r plot-hs-gpa-correlation, message=FALSE, fig.width=6, fig.height=4, fig.align='center'} +ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy)) + + geom_point(size = 0.5) + + geom_smooth(method = "lm", se = FALSE) + + labs(x = "High school GPA", y = "Freshman GPA") +``` + +## Is the correlation between SAT scores and freshman GPA stronger for men or for women? + +```{r sat-gpa-correlation-sex} +# We can calculate the correlation for subgroups within the data with slightly +# different syntax. Notice how this uses the pipe (%>%), which makes it read +# like English. We can say "Take the sat_gpa data set, split it into groups +# based on sex, and calculate the correlation between sat_total and gpa_fy in +# each of the groups +sat_gpa %>% + group_by(sex) %>% + summarize(correlation = cor(sat_total, gpa_fy)) +``` + +We can calculate the correlation between SAT scores and freshman GPA for both sexes to see if there are any differences. The correlation is slightly stronger for women, but it's hardly noticeable (r = 0.49 for females, r = 0.48 for males) + +This is apparent visually if we include a trendline for each sex. The lines are essentially parallel: + +```{r plot-sat-gpa-correlation-sex, message=FALSE, fig.width=6, fig.height=4, fig.align='center'} +# The only difference between this graph and the earlier two is that it is +# coloring by sex +ggplot(sat_gpa, aes(x = gpa_hs, y = gpa_fy, color = sex)) + + geom_point(size = 0.5) + + geom_smooth(method = "lm", se = FALSE) + + labs(x = "High school GPA", y = "Freshman GPA") +``` + +## Is the correlation between high school GPA and freshman GPA stronger for men or for women? + +```{r hs-gpa-correlation-sex} +sat_gpa %>% + group_by(sex) %>% + summarize(correlation = cor(gpa_hs, gpa_fy)) +``` + +There is a noticeable difference between men and women in the correlation between high school and college GPA. For men, the two are moderately correlated (r = 0.48), while for women the relationship is much stronger (r = 0.60). High school grades might be a better predictor of college grades for women than for men. + +# Models + +## Do SAT scores predict freshman GPAs? + +We can build a model that predicts college GPAs (our outcome variable, or dependent variable) using SAT scores (our main explanatory variable): + +$$ +\text{freshman GPA} = \beta_0 + \beta_1 \text{SAT total} + \epsilon +$$ + +```{r model-sat-gpa} +model_sat_gpa <- lm(gpa_fy ~ sat_total, data = sat_gpa) + +# Look at the model results and include confidence intervals for the coefficients +tidy(model_sat_gpa, conf.int = TRUE) +``` + +Here's what these coefficients mean: + +- The intercept (or $\beta_0$) is 0.002, which means that the average freshman GPA will be 0.002 when the total SAT percentile score is 0. This is a pretty nonsensical number (nobody has a score that low), so we can ignore it. +- The slope of `sat_total` (or $\beta_1$) is 0.024, which means that a 1 percentile increase in SAT score is associated with a 0.024 point increase in GPA, on average. + +We can look at the summary table of the regression to check the $R^2$: + +```{r model-sat-gpa-details} +glance(model_sat_gpa) +``` + +The $R^2$ here is 0.212, which means that SAT scores explain 21% of the variation in freshman GPA. It's not a fantastic model, but it explains some stuff. + +## Does a certain type of SAT score have a larger effect on freshman GPAs? + +The `sat_total` variable combines both `sat_math` and `sat_verbal`. We can disaggregate the total score to see the effect of each portion of the test on freshman GPA, using the following model: + +$$ +\text{freshman GPA} = \beta_0 + \beta_1 \text{SAT verbal} + \beta_2 \text{SAT math} + \epsilon +$$ + +```{r model-sat-math-verbal} +model_sat_gpa_types <- lm(gpa_fy ~ sat_verbal + sat_math, data = sat_gpa) + +tidy(model_sat_gpa_types, conf.int = TRUE) +``` + +Again, the intercept is meaningless since no student has a zero on both the verbal and the math test. The slope for `sat_verbal` (or $\beta_1$) is 0.025, so a one percentile point increase in the verbal SAT is associated with a 0.025 point increase in GPA, on average, controlling for math scores. Meanwhile, a one percentile point increase in the math SAT ($\beta_2$) is associated with a 0.022 point increase in GPA, on average, controlling for verbal scores. These are essentially the same, so at first glance, it doesn't seem like the type of test has substantial bearing on college GPAs. + +The adjusted $R^2$ (which we need to look at because we're using more than one explanatory variable) is 0.211, which means that this model explains 21% of the variation in college GPA. Like before, this isn't great, but it tells us a little bit about the importance of SAT scores. + +```{r model-sat-math-verbal-gpa-details} +glance(model_sat_gpa_types) +``` + +## Do high school GPAs predict freshman GPAs? + +We can also use high school GPA to predict freshman GPA, using the following model: + +$$ +\text{freshman GPA} = \beta_0 + \beta_1 \text{high school GPA} + \epsilon +$$ + +```{r model-hs-college-gpa} +model_sat_gpa_hs <- lm(gpa_fy ~ gpa_hs, data = sat_gpa) + +tidy(model_sat_gpa_hs) +``` + +The intercept here ($\beta_0$) is 0.091, which means that a student with a high school GPA of zero would have a predicted freshman GPA of 0.091, on average. This is nonsensical, so we can ignore it. The slope for `gpa_hs` ($\beta_1$), on the other hand, is helpful. For every 1 point increase in GPA (i.e. moving from 2.0 to 3.0, or 3.0 to 4.0), there's an associated increase in college GPA of 0.743 points, on average. + +The $R^2$ value is 0.295, which means that nearly 30% of the variation in college GPA can be explained by high school GPA. Neat. + +```{r model-hs-college-gpa-details} +glance(model_sat_gpa_hs) +``` + +## College GPA ~ SAT + sex + +Next, we can see how both SAT scores and sex affect variation in college GPA with the following model: + +$$ +\text{freshman GPA} = \beta_0 + \beta_1 \text{SAT total} + \beta_2 \text{sex} + \epsilon +$$ + +```{r model-sat-sex} +model_sat_sex <- lm(gpa_fy ~ sat_total + sex, data = sat_gpa) + +tidy(model_sat_sex, conf.int = TRUE) +``` + +Here, stuff gets interesting. The intercept ($\beta_0$) is once again nonsensical—females with a 0 score on their SAT would have a -0.027 college GPA on average. There's a positive effect with our $\beta_1$ (or `sat_total`), since controlling for sex, a one percentile point increase in SAT scores is associated with a 0.026 point increase in freshman GPA, on average. If we control for SAT scores, males see an average drop of 0.274 points ($\beta_2$) in their college GPAs. + +The combination of these two variables, however, doesn't boost the model's explanatory power that much. The adjusted $R^2$ (which we must look at because we're using more than one explanatory variable) is 0.243, meaning that the model explains a little over 24% of the variation in college GPAs. + +```{r model-sat-sex-details} +glance(model_sat_sex) +``` + +## College GPA ~ SAT + high school GPA + sex + +Finally we can see what the effect of SAT scores, high school GPA, and sex is on college GPAs all at the same time, using the following model: + +$$ +\text{freshman GPA} = \beta_0 + \beta_1 \text{SAT total} + \beta_2 \text{high school GPA} + \beta_3 \text{sex} + \epsilon +$$ + +```{r model-sat-hs-sex} +model_sat_hs_sex <- lm(gpa_fy ~ sat_total + gpa_hs + sex, data = sat_gpa) + +tidy(model_sat_hs_sex, conf.int = TRUE) +``` + +We can say the following things about these results: + +- Yet again, the intercept ($\beta_0$) can be safely ignored. Here it means that a female with a 0.0 high school GPA and an SAT score of 0 would have a college GPA of -0.84, on average. That's pretty impossible. +- The $\beta_1$ coefficient for `sat_total` indicates that taking into account high school GPA and sex, a one percentile point increase in a student's SAT score is associated with a 0.016 point increase in their college GPA, on average. +- Controlling for SAT scores and sex, a one point increase in high school GPA is associated with a 0.545 point (this is $\beta_2$) increase in college GPA, on average. This coefficient is lower than the 0.74 point coefficient we found previously. That's because SAT scores and sex soaked up some of high school GPA's explanatory power. +- Taking SAT scores and high school GPAs into account, males have a 0.143 point lower GPA in college, on average (this is $\beta_3$) + +As always, the adjusted $R^2$ shows us how well the model fits overall (again, we have to look at the adjusted $R^2$ because we have more than one explanatory variable). In this case, the model explains 36.5% of the variation in college GPA, which is higher than any of the previous models (but not phenomenal, in the end). + +```{r model-sat-hs-sex-details} +glance(model_sat_hs_sex) +``` + +## Which model best predicts freshman GPA? How do you know? + +As you've learned in previous stats classes, adjusted $R^2$ generally shows the strength of a model's fit, or how well the model will predict future values of the outcome variable. If we compare the adjusted $R^2$ for each of the models, we see that the "best" model is the last one. + +```{r show-all-models} +# The modelsummary() function takes a bunch of different regression models and +# puts them in a neat side-by-side table. In a normal report or analysis, you'd +# include all of these once instead of going one by one like we did above. +modelsummary(list(model_sat_gpa, model_sat_gpa_types, model_sat_gpa_hs, + model_sat_sex, model_sat_hs_sex)) +``` diff --git a/docs/projects/regression-example/data/gapminder.csv b/docs/projects/regression-example/data/gapminder.csv new file mode 100644 index 00000000..7e643799 --- /dev/null +++ b/docs/projects/regression-example/data/gapminder.csv @@ -0,0 +1,1705 @@ +country,continent,year,lifeExp,pop,gdpPercap +Afghanistan,Asia,1952,28.801,8425333,779.4453145 +Afghanistan,Asia,1957,30.332,9240934,820.8530296 +Afghanistan,Asia,1962,31.997,10267083,853.10071 +Afghanistan,Asia,1967,34.02,11537966,836.1971382 +Afghanistan,Asia,1972,36.088,13079460,739.9811058 +Afghanistan,Asia,1977,38.438,14880372,786.11336 +Afghanistan,Asia,1982,39.854,12881816,978.0114388 +Afghanistan,Asia,1987,40.822,13867957,852.3959448 +Afghanistan,Asia,1992,41.674,16317921,649.3413952 +Afghanistan,Asia,1997,41.763,22227415,635.341351 +Afghanistan,Asia,2002,42.129,25268405,726.7340548 +Afghanistan,Asia,2007,43.828,31889923,974.5803384 +Albania,Europe,1952,55.23,1282697,1601.056136 +Albania,Europe,1957,59.28,1476505,1942.284244 +Albania,Europe,1962,64.82,1728137,2312.888958 +Albania,Europe,1967,66.22,1984060,2760.196931 +Albania,Europe,1972,67.69,2263554,3313.422188 +Albania,Europe,1977,68.93,2509048,3533.00391 +Albania,Europe,1982,70.42,2780097,3630.880722 +Albania,Europe,1987,72,3075321,3738.932735 +Albania,Europe,1992,71.581,3326498,2497.437901 +Albania,Europe,1997,72.95,3428038,3193.054604 +Albania,Europe,2002,75.651,3508512,4604.211737 +Albania,Europe,2007,76.423,3600523,5937.029526 +Algeria,Africa,1952,43.077,9279525,2449.008185 +Algeria,Africa,1957,45.685,10270856,3013.976023 +Algeria,Africa,1962,48.303,11000948,2550.81688 +Algeria,Africa,1967,51.407,12760499,3246.991771 +Algeria,Africa,1972,54.518,14760787,4182.663766 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+Argentina,Americas,1957,64.399,19610538,6856.856212 +Argentina,Americas,1962,65.142,21283783,7133.166023 +Argentina,Americas,1967,65.634,22934225,8052.953021 +Argentina,Americas,1972,67.065,24779799,9443.038526 +Argentina,Americas,1977,68.481,26983828,10079.02674 +Argentina,Americas,1982,69.942,29341374,8997.897412 +Argentina,Americas,1987,70.774,31620918,9139.671389 +Argentina,Americas,1992,71.868,33958947,9308.41871 +Argentina,Americas,1997,73.275,36203463,10967.28195 +Argentina,Americas,2002,74.34,38331121,8797.640716 +Argentina,Americas,2007,75.32,40301927,12779.37964 +Australia,Oceania,1952,69.12,8691212,10039.59564 +Australia,Oceania,1957,70.33,9712569,10949.64959 +Australia,Oceania,1962,70.93,10794968,12217.22686 +Australia,Oceania,1967,71.1,11872264,14526.12465 +Australia,Oceania,1972,71.93,13177000,16788.62948 +Australia,Oceania,1977,73.49,14074100,18334.19751 +Australia,Oceania,1982,74.74,15184200,19477.00928 +Australia,Oceania,1987,76.32,16257249,21888.88903 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+Bahrain,Asia,1977,65.593,297410,19340.10196 +Bahrain,Asia,1982,69.052,377967,19211.14731 +Bahrain,Asia,1987,70.75,454612,18524.02406 +Bahrain,Asia,1992,72.601,529491,19035.57917 +Bahrain,Asia,1997,73.925,598561,20292.01679 +Bahrain,Asia,2002,74.795,656397,23403.55927 +Bahrain,Asia,2007,75.635,708573,29796.04834 +Bangladesh,Asia,1952,37.484,46886859,684.2441716 +Bangladesh,Asia,1957,39.348,51365468,661.6374577 +Bangladesh,Asia,1962,41.216,56839289,686.3415538 +Bangladesh,Asia,1967,43.453,62821884,721.1860862 +Bangladesh,Asia,1972,45.252,70759295,630.2336265 +Bangladesh,Asia,1977,46.923,80428306,659.8772322 +Bangladesh,Asia,1982,50.009,93074406,676.9818656 +Bangladesh,Asia,1987,52.819,103764241,751.9794035 +Bangladesh,Asia,1992,56.018,113704579,837.8101643 +Bangladesh,Asia,1997,59.412,123315288,972.7700352 +Bangladesh,Asia,2002,62.013,135656790,1136.39043 +Bangladesh,Asia,2007,64.062,150448339,1391.253792 +Belgium,Europe,1952,68,8730405,8343.105127 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+Benin,Africa,2002,54.406,7026113,1372.877931 +Benin,Africa,2007,56.728,8078314,1441.284873 +Bolivia,Americas,1952,40.414,2883315,2677.326347 +Bolivia,Americas,1957,41.89,3211738,2127.686326 +Bolivia,Americas,1962,43.428,3593918,2180.972546 +Bolivia,Americas,1967,45.032,4040665,2586.886053 +Bolivia,Americas,1972,46.714,4565872,2980.331339 +Bolivia,Americas,1977,50.023,5079716,3548.097832 +Bolivia,Americas,1982,53.859,5642224,3156.510452 +Bolivia,Americas,1987,57.251,6156369,2753.69149 +Bolivia,Americas,1992,59.957,6893451,2961.699694 +Bolivia,Americas,1997,62.05,7693188,3326.143191 +Bolivia,Americas,2002,63.883,8445134,3413.26269 +Bolivia,Americas,2007,65.554,9119152,3822.137084 +Bosnia and Herzegovina,Europe,1952,53.82,2791000,973.5331948 +Bosnia and Herzegovina,Europe,1957,58.45,3076000,1353.989176 +Bosnia and Herzegovina,Europe,1962,61.93,3349000,1709.683679 +Bosnia and Herzegovina,Europe,1967,64.79,3585000,2172.352423 +Bosnia and Herzegovina,Europe,1972,67.45,3819000,2860.16975 +Bosnia and Herzegovina,Europe,1977,69.86,4086000,3528.481305 +Bosnia and Herzegovina,Europe,1982,70.69,4172693,4126.613157 +Bosnia and Herzegovina,Europe,1987,71.14,4338977,4314.114757 +Bosnia and Herzegovina,Europe,1992,72.178,4256013,2546.781445 +Bosnia and Herzegovina,Europe,1997,73.244,3607000,4766.355904 +Bosnia and Herzegovina,Europe,2002,74.09,4165416,6018.975239 +Bosnia and Herzegovina,Europe,2007,74.852,4552198,7446.298803 +Botswana,Africa,1952,47.622,442308,851.2411407 +Botswana,Africa,1957,49.618,474639,918.2325349 +Botswana,Africa,1962,51.52,512764,983.6539764 +Botswana,Africa,1967,53.298,553541,1214.709294 +Botswana,Africa,1972,56.024,619351,2263.611114 +Botswana,Africa,1977,59.319,781472,3214.857818 +Botswana,Africa,1982,61.484,970347,4551.14215 +Botswana,Africa,1987,63.622,1151184,6205.88385 +Botswana,Africa,1992,62.745,1342614,7954.111645 +Botswana,Africa,1997,52.556,1536536,8647.142313 +Botswana,Africa,2002,46.634,1630347,11003.60508 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Republic,Africa,2007,44.741,4369038,706.016537 +Chad,Africa,1952,38.092,2682462,1178.665927 +Chad,Africa,1957,39.881,2894855,1308.495577 +Chad,Africa,1962,41.716,3150417,1389.817618 +Chad,Africa,1967,43.601,3495967,1196.810565 +Chad,Africa,1972,45.569,3899068,1104.103987 +Chad,Africa,1977,47.383,4388260,1133.98495 +Chad,Africa,1982,49.517,4875118,797.9081006 +Chad,Africa,1987,51.051,5498955,952.386129 +Chad,Africa,1992,51.724,6429417,1058.0643 +Chad,Africa,1997,51.573,7562011,1004.961353 +Chad,Africa,2002,50.525,8835739,1156.18186 +Chad,Africa,2007,50.651,10238807,1704.063724 +Chile,Americas,1952,54.745,6377619,3939.978789 +Chile,Americas,1957,56.074,7048426,4315.622723 +Chile,Americas,1962,57.924,7961258,4519.094331 +Chile,Americas,1967,60.523,8858908,5106.654313 +Chile,Americas,1972,63.441,9717524,5494.024437 +Chile,Americas,1977,67.052,10599793,4756.763836 +Chile,Americas,1982,70.565,11487112,5095.665738 +Chile,Americas,1987,72.492,12463354,5547.063754 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Rep.",Africa,1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.",Africa,1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.",Africa,1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.",Africa,1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.",Africa,1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.",Africa,1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.",Africa,1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.",Africa,1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.",Africa,1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.",Africa,1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.",Africa,2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.",Africa,2007,46.462,64606759,277.5518587 +"Congo, Rep.",Africa,1952,42.111,854885,2125.621418 +"Congo, Rep.",Africa,1957,45.053,940458,2315.056572 +"Congo, Rep.",Africa,1962,48.435,1047924,2464.783157 +"Congo, Rep.",Africa,1967,52.04,1179760,2677.939642 +"Congo, Rep.",Africa,1972,54.907,1340458,3213.152683 +"Congo, Rep.",Africa,1977,55.625,1536769,3259.178978 +"Congo, Rep.",Africa,1982,56.695,1774735,4879.507522 +"Congo, Rep.",Africa,1987,57.47,2064095,4201.194937 +"Congo, Rep.",Africa,1992,56.433,2409073,4016.239529 +"Congo, Rep.",Africa,1997,52.962,2800947,3484.164376 +"Congo, Rep.",Africa,2002,52.97,3328795,3484.06197 +"Congo, Rep.",Africa,2007,55.322,3800610,3632.557798 +Costa Rica,Americas,1952,57.206,926317,2627.009471 +Costa Rica,Americas,1957,60.026,1112300,2990.010802 +Costa Rica,Americas,1962,62.842,1345187,3460.937025 +Costa Rica,Americas,1967,65.424,1588717,4161.727834 +Costa Rica,Americas,1972,67.849,1834796,5118.146939 +Costa Rica,Americas,1977,70.75,2108457,5926.876967 +Costa Rica,Americas,1982,73.45,2424367,5262.734751 +Costa Rica,Americas,1987,74.752,2799811,5629.915318 +Costa Rica,Americas,1992,75.713,3173216,6160.416317 +Costa Rica,Americas,1997,77.26,3518107,6677.045314 +Costa Rica,Americas,2002,78.123,3834934,7723.447195 +Costa Rica,Americas,2007,78.782,4133884,9645.06142 +Cote d'Ivoire,Africa,1952,40.477,2977019,1388.594732 +Cote d'Ivoire,Africa,1957,42.469,3300000,1500.895925 +Cote d'Ivoire,Africa,1962,44.93,3832408,1728.869428 +Cote d'Ivoire,Africa,1967,47.35,4744870,2052.050473 +Cote d'Ivoire,Africa,1972,49.801,6071696,2378.201111 +Cote d'Ivoire,Africa,1977,52.374,7459574,2517.736547 +Cote d'Ivoire,Africa,1982,53.983,9025951,2602.710169 +Cote d'Ivoire,Africa,1987,54.655,10761098,2156.956069 +Cote d'Ivoire,Africa,1992,52.044,12772596,1648.073791 +Cote d'Ivoire,Africa,1997,47.991,14625967,1786.265407 +Cote d'Ivoire,Africa,2002,46.832,16252726,1648.800823 +Cote d'Ivoire,Africa,2007,48.328,18013409,1544.750112 +Croatia,Europe,1952,61.21,3882229,3119.23652 +Croatia,Europe,1957,64.77,3991242,4338.231617 +Croatia,Europe,1962,67.13,4076557,5477.890018 +Croatia,Europe,1967,68.5,4174366,6960.297861 +Croatia,Europe,1972,69.61,4225310,9164.090127 +Croatia,Europe,1977,70.64,4318673,11305.38517 +Croatia,Europe,1982,70.46,4413368,13221.82184 +Croatia,Europe,1987,71.52,4484310,13822.58394 +Croatia,Europe,1992,72.527,4494013,8447.794873 +Croatia,Europe,1997,73.68,4444595,9875.604515 +Croatia,Europe,2002,74.876,4481020,11628.38895 +Croatia,Europe,2007,75.748,4493312,14619.22272 +Cuba,Americas,1952,59.421,6007797,5586.53878 +Cuba,Americas,1957,62.325,6640752,6092.174359 +Cuba,Americas,1962,65.246,7254373,5180.75591 +Cuba,Americas,1967,68.29,8139332,5690.268015 +Cuba,Americas,1972,70.723,8831348,5305.445256 +Cuba,Americas,1977,72.649,9537988,6380.494966 +Cuba,Americas,1982,73.717,9789224,7316.918107 +Cuba,Americas,1987,74.174,10239839,7532.924763 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+Dominican Republic,Americas,1952,45.928,2491346,1397.717137 +Dominican Republic,Americas,1957,49.828,2923186,1544.402995 +Dominican Republic,Americas,1962,53.459,3453434,1662.137359 +Dominican Republic,Americas,1967,56.751,4049146,1653.723003 +Dominican Republic,Americas,1972,59.631,4671329,2189.874499 +Dominican Republic,Americas,1977,61.788,5302800,2681.9889 +Dominican Republic,Americas,1982,63.727,5968349,2861.092386 +Dominican Republic,Americas,1987,66.046,6655297,2899.842175 +Dominican Republic,Americas,1992,68.457,7351181,3044.214214 +Dominican Republic,Americas,1997,69.957,7992357,3614.101285 +Dominican Republic,Americas,2002,70.847,8650322,4563.808154 +Dominican Republic,Americas,2007,72.235,9319622,6025.374752 +Ecuador,Americas,1952,48.357,3548753,3522.110717 +Ecuador,Americas,1957,51.356,4058385,3780.546651 +Ecuador,Americas,1962,54.64,4681707,4086.114078 +Ecuador,Americas,1967,56.678,5432424,4579.074215 +Ecuador,Americas,1972,58.796,6298651,5280.99471 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Salvador,Americas,1957,48.57,2355805,3421.523218 +El Salvador,Americas,1962,52.307,2747687,3776.803627 +El Salvador,Americas,1967,55.855,3232927,4358.595393 +El Salvador,Americas,1972,58.207,3790903,4520.246008 +El Salvador,Americas,1977,56.696,4282586,5138.922374 +El Salvador,Americas,1982,56.604,4474873,4098.344175 +El Salvador,Americas,1987,63.154,4842194,4140.442097 +El Salvador,Americas,1992,66.798,5274649,4444.2317 +El Salvador,Americas,1997,69.535,5783439,5154.825496 +El Salvador,Americas,2002,70.734,6353681,5351.568666 +El Salvador,Americas,2007,71.878,6939688,5728.353514 +Equatorial Guinea,Africa,1952,34.482,216964,375.6431231 +Equatorial Guinea,Africa,1957,35.983,232922,426.0964081 +Equatorial Guinea,Africa,1962,37.485,249220,582.8419714 +Equatorial Guinea,Africa,1967,38.987,259864,915.5960025 +Equatorial Guinea,Africa,1972,40.516,277603,672.4122571 +Equatorial Guinea,Africa,1977,42.024,192675,958.5668124 +Equatorial Guinea,Africa,1982,43.662,285483,927.8253427 +Equatorial Guinea,Africa,1987,45.664,341244,966.8968149 +Equatorial Guinea,Africa,1992,47.545,387838,1132.055034 +Equatorial Guinea,Africa,1997,48.245,439971,2814.480755 +Equatorial Guinea,Africa,2002,49.348,495627,7703.4959 +Equatorial Guinea,Africa,2007,51.579,551201,12154.08975 +Eritrea,Africa,1952,35.928,1438760,328.9405571 +Eritrea,Africa,1957,38.047,1542611,344.1618859 +Eritrea,Africa,1962,40.158,1666618,380.9958433 +Eritrea,Africa,1967,42.189,1820319,468.7949699 +Eritrea,Africa,1972,44.142,2260187,514.3242082 +Eritrea,Africa,1977,44.535,2512642,505.7538077 +Eritrea,Africa,1982,43.89,2637297,524.8758493 +Eritrea,Africa,1987,46.453,2915959,521.1341333 +Eritrea,Africa,1992,49.991,3668440,582.8585102 +Eritrea,Africa,1997,53.378,4058319,913.47079 +Eritrea,Africa,2002,55.24,4414865,765.3500015 +Eritrea,Africa,2007,58.04,4906585,641.3695236 +Ethiopia,Africa,1952,34.078,20860941,362.1462796 +Ethiopia,Africa,1957,36.667,22815614,378.9041632 +Ethiopia,Africa,1962,40.059,25145372,419.4564161 +Ethiopia,Africa,1967,42.115,27860297,516.1186438 +Ethiopia,Africa,1972,43.515,30770372,566.2439442 +Ethiopia,Africa,1977,44.51,34617799,556.8083834 +Ethiopia,Africa,1982,44.916,38111756,577.8607471 +Ethiopia,Africa,1987,46.684,42999530,573.7413142 +Ethiopia,Africa,1992,48.091,52088559,421.3534653 +Ethiopia,Africa,1997,49.402,59861301,515.8894013 +Ethiopia,Africa,2002,50.725,67946797,530.0535319 +Ethiopia,Africa,2007,52.947,76511887,690.8055759 +Finland,Europe,1952,66.55,4090500,6424.519071 +Finland,Europe,1957,67.49,4324000,7545.415386 +Finland,Europe,1962,68.75,4491443,9371.842561 +Finland,Europe,1967,69.83,4605744,10921.63626 +Finland,Europe,1972,70.87,4639657,14358.8759 +Finland,Europe,1977,72.52,4738902,15605.42283 +Finland,Europe,1982,74.55,4826933,18533.15761 +Finland,Europe,1987,74.83,4931729,21141.01223 +Finland,Europe,1992,75.7,5041039,20647.16499 +Finland,Europe,1997,77.13,5134406,23723.9502 +Finland,Europe,2002,78.37,5193039,28204.59057 +Finland,Europe,2007,79.313,5238460,33207.0844 +France,Europe,1952,67.41,42459667,7029.809327 +France,Europe,1957,68.93,44310863,8662.834898 +France,Europe,1962,70.51,47124000,10560.48553 +France,Europe,1967,71.55,49569000,12999.91766 +France,Europe,1972,72.38,51732000,16107.19171 +France,Europe,1977,73.83,53165019,18292.63514 +France,Europe,1982,74.89,54433565,20293.89746 +France,Europe,1987,76.34,55630100,22066.44214 +France,Europe,1992,77.46,57374179,24703.79615 +France,Europe,1997,78.64,58623428,25889.78487 +France,Europe,2002,79.59,59925035,28926.03234 +France,Europe,2007,80.657,61083916,30470.0167 +Gabon,Africa,1952,37.003,420702,4293.476475 +Gabon,Africa,1957,38.999,434904,4976.198099 +Gabon,Africa,1962,40.489,455661,6631.459222 +Gabon,Africa,1967,44.598,489004,8358.761987 +Gabon,Africa,1972,48.69,537977,11401.94841 +Gabon,Africa,1977,52.79,706367,21745.57328 +Gabon,Africa,1982,56.564,753874,15113.36194 +Gabon,Africa,1987,60.19,880397,11864.40844 +Gabon,Africa,1992,61.366,985739,13522.15752 +Gabon,Africa,1997,60.461,1126189,14722.84188 +Gabon,Africa,2002,56.761,1299304,12521.71392 +Gabon,Africa,2007,56.735,1454867,13206.48452 +Gambia,Africa,1952,30,284320,485.2306591 +Gambia,Africa,1957,32.065,323150,520.9267111 +Gambia,Africa,1962,33.896,374020,599.650276 +Gambia,Africa,1967,35.857,439593,734.7829124 +Gambia,Africa,1972,38.308,517101,756.0868363 +Gambia,Africa,1977,41.842,608274,884.7552507 +Gambia,Africa,1982,45.58,715523,835.8096108 +Gambia,Africa,1987,49.265,848406,611.6588611 +Gambia,Africa,1992,52.644,1025384,665.6244126 +Gambia,Africa,1997,55.861,1235767,653.7301704 +Gambia,Africa,2002,58.041,1457766,660.5855997 +Gambia,Africa,2007,59.448,1688359,752.7497265 +Germany,Europe,1952,67.5,69145952,7144.114393 +Germany,Europe,1957,69.1,71019069,10187.82665 +Germany,Europe,1962,70.3,73739117,12902.46291 +Germany,Europe,1967,70.8,76368453,14745.62561 +Germany,Europe,1972,71,78717088,18016.18027 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+Greece,Europe,1962,69.51,8448233,6017.190733 +Greece,Europe,1967,71,8716441,8513.097016 +Greece,Europe,1972,72.34,8888628,12724.82957 +Greece,Europe,1977,73.68,9308479,14195.52428 +Greece,Europe,1982,75.24,9786480,15268.42089 +Greece,Europe,1987,76.67,9974490,16120.52839 +Greece,Europe,1992,77.03,10325429,17541.49634 +Greece,Europe,1997,77.869,10502372,18747.69814 +Greece,Europe,2002,78.256,10603863,22514.2548 +Greece,Europe,2007,79.483,10706290,27538.41188 +Guatemala,Americas,1952,42.023,3146381,2428.237769 +Guatemala,Americas,1957,44.142,3640876,2617.155967 +Guatemala,Americas,1962,46.954,4208858,2750.364446 +Guatemala,Americas,1967,50.016,4690773,3242.531147 +Guatemala,Americas,1972,53.738,5149581,4031.408271 +Guatemala,Americas,1977,56.029,5703430,4879.992748 +Guatemala,Americas,1982,58.137,6395630,4820.49479 +Guatemala,Americas,1987,60.782,7326406,4246.485974 +Guatemala,Americas,1992,63.373,8486949,4439.45084 +Guatemala,Americas,1997,66.322,9803875,4684.313807 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+Guinea-Bissau,Africa,1982,39.327,825987,838.1239671 +Guinea-Bissau,Africa,1987,41.245,927524,736.4153921 +Guinea-Bissau,Africa,1992,43.266,1050938,745.5398706 +Guinea-Bissau,Africa,1997,44.873,1193708,796.6644681 +Guinea-Bissau,Africa,2002,45.504,1332459,575.7047176 +Guinea-Bissau,Africa,2007,46.388,1472041,579.231743 +Haiti,Americas,1952,37.579,3201488,1840.366939 +Haiti,Americas,1957,40.696,3507701,1726.887882 +Haiti,Americas,1962,43.59,3880130,1796.589032 +Haiti,Americas,1967,46.243,4318137,1452.057666 +Haiti,Americas,1972,48.042,4698301,1654.456946 +Haiti,Americas,1977,49.923,4908554,1874.298931 +Haiti,Americas,1982,51.461,5198399,2011.159549 +Haiti,Americas,1987,53.636,5756203,1823.015995 +Haiti,Americas,1992,55.089,6326682,1456.309517 +Haiti,Americas,1997,56.671,6913545,1341.726931 +Haiti,Americas,2002,58.137,7607651,1270.364932 +Haiti,Americas,2007,60.916,8502814,1201.637154 +Honduras,Americas,1952,41.912,1517453,2194.926204 +Honduras,Americas,1957,44.665,1770390,2220.487682 +Honduras,Americas,1962,48.041,2090162,2291.156835 +Honduras,Americas,1967,50.924,2500689,2538.269358 +Honduras,Americas,1972,53.884,2965146,2529.842345 +Honduras,Americas,1977,57.402,3055235,3203.208066 +Honduras,Americas,1982,60.909,3669448,3121.760794 +Honduras,Americas,1987,64.492,4372203,3023.096699 +Honduras,Americas,1992,66.399,5077347,3081.694603 +Honduras,Americas,1997,67.659,5867957,3160.454906 +Honduras,Americas,2002,68.565,6677328,3099.72866 +Honduras,Americas,2007,70.198,7483763,3548.330846 +"Hong Kong, China",Asia,1952,60.96,2125900,3054.421209 +"Hong Kong, China",Asia,1957,64.75,2736300,3629.076457 +"Hong Kong, China",Asia,1962,67.65,3305200,4692.648272 +"Hong Kong, China",Asia,1967,70,3722800,6197.962814 +"Hong Kong, China",Asia,1972,72,4115700,8315.928145 +"Hong Kong, China",Asia,1977,73.6,4583700,11186.14125 +"Hong Kong, China",Asia,1982,75.45,5264500,14560.53051 +"Hong Kong, China",Asia,1987,76.2,5584510,20038.47269 +"Hong Kong, China",Asia,1992,77.601,5829696,24757.60301 +"Hong Kong, China",Asia,1997,80,6495918,28377.63219 +"Hong Kong, China",Asia,2002,81.495,6762476,30209.01516 +"Hong Kong, China",Asia,2007,82.208,6980412,39724.97867 +Hungary,Europe,1952,64.03,9504000,5263.673816 +Hungary,Europe,1957,66.41,9839000,6040.180011 +Hungary,Europe,1962,67.96,10063000,7550.359877 +Hungary,Europe,1967,69.5,10223422,9326.64467 +Hungary,Europe,1972,69.76,10394091,10168.65611 +Hungary,Europe,1977,69.95,10637171,11674.83737 +Hungary,Europe,1982,69.39,10705535,12545.99066 +Hungary,Europe,1987,69.58,10612740,12986.47998 +Hungary,Europe,1992,69.17,10348684,10535.62855 +Hungary,Europe,1997,71.04,10244684,11712.7768 +Hungary,Europe,2002,72.59,10083313,14843.93556 +Hungary,Europe,2007,73.338,9956108,18008.94444 +Iceland,Europe,1952,72.49,147962,7267.688428 +Iceland,Europe,1957,73.47,165110,9244.001412 +Iceland,Europe,1962,73.68,182053,10350.15906 +Iceland,Europe,1967,73.73,198676,13319.89568 +Iceland,Europe,1972,74.46,209275,15798.06362 +Iceland,Europe,1977,76.11,221823,19654.96247 +Iceland,Europe,1982,76.99,233997,23269.6075 +Iceland,Europe,1987,77.23,244676,26923.20628 +Iceland,Europe,1992,78.77,259012,25144.39201 +Iceland,Europe,1997,78.95,271192,28061.09966 +Iceland,Europe,2002,80.5,288030,31163.20196 +Iceland,Europe,2007,81.757,301931,36180.78919 +India,Asia,1952,37.373,372000000,546.5657493 +India,Asia,1957,40.249,409000000,590.061996 +India,Asia,1962,43.605,454000000,658.3471509 +India,Asia,1967,47.193,506000000,700.7706107 +India,Asia,1972,50.651,567000000,724.032527 +India,Asia,1977,54.208,634000000,813.337323 +India,Asia,1982,56.596,708000000,855.7235377 +India,Asia,1987,58.553,788000000,976.5126756 +India,Asia,1992,60.223,872000000,1164.406809 +India,Asia,1997,61.765,959000000,1458.817442 +India,Asia,2002,62.879,1034172547,1746.769454 +India,Asia,2007,64.698,1110396331,2452.210407 +Indonesia,Asia,1952,37.468,82052000,749.6816546 +Indonesia,Asia,1957,39.918,90124000,858.9002707 +Indonesia,Asia,1962,42.518,99028000,849.2897701 +Indonesia,Asia,1967,45.964,109343000,762.4317721 +Indonesia,Asia,1972,49.203,121282000,1111.107907 +Indonesia,Asia,1977,52.702,136725000,1382.702056 +Indonesia,Asia,1982,56.159,153343000,1516.872988 +Indonesia,Asia,1987,60.137,169276000,1748.356961 +Indonesia,Asia,1992,62.681,184816000,2383.140898 +Indonesia,Asia,1997,66.041,199278000,3119.335603 +Indonesia,Asia,2002,68.588,211060000,2873.91287 +Indonesia,Asia,2007,70.65,223547000,3540.651564 +Iran,Asia,1952,44.869,17272000,3035.326002 +Iran,Asia,1957,47.181,19792000,3290.257643 +Iran,Asia,1962,49.325,22874000,4187.329802 +Iran,Asia,1967,52.469,26538000,5906.731805 +Iran,Asia,1972,55.234,30614000,9613.818607 +Iran,Asia,1977,57.702,35480679,11888.59508 +Iran,Asia,1982,59.62,43072751,7608.334602 +Iran,Asia,1987,63.04,51889696,6642.881371 +Iran,Asia,1992,65.742,60397973,7235.653188 +Iran,Asia,1997,68.042,63327987,8263.590301 +Iran,Asia,2002,69.451,66907826,9240.761975 +Iran,Asia,2007,70.964,69453570,11605.71449 +Iraq,Asia,1952,45.32,5441766,4129.766056 +Iraq,Asia,1957,48.437,6248643,6229.333562 +Iraq,Asia,1962,51.457,7240260,8341.737815 +Iraq,Asia,1967,54.459,8519282,8931.459811 +Iraq,Asia,1972,56.95,10061506,9576.037596 +Iraq,Asia,1977,60.413,11882916,14688.23507 +Iraq,Asia,1982,62.038,14173318,14517.90711 +Iraq,Asia,1987,65.044,16543189,11643.57268 +Iraq,Asia,1992,59.461,17861905,3745.640687 +Iraq,Asia,1997,58.811,20775703,3076.239795 +Iraq,Asia,2002,57.046,24001816,4390.717312 +Iraq,Asia,2007,59.545,27499638,4471.061906 +Ireland,Europe,1952,66.91,2952156,5210.280328 +Ireland,Europe,1957,68.9,2878220,5599.077872 +Ireland,Europe,1962,70.29,2830000,6631.597314 +Ireland,Europe,1967,71.08,2900100,7655.568963 +Ireland,Europe,1972,71.28,3024400,9530.772896 +Ireland,Europe,1977,72.03,3271900,11150.98113 +Ireland,Europe,1982,73.1,3480000,12618.32141 +Ireland,Europe,1987,74.36,3539900,13872.86652 +Ireland,Europe,1992,75.467,3557761,17558.81555 +Ireland,Europe,1997,76.122,3667233,24521.94713 +Ireland,Europe,2002,77.783,3879155,34077.04939 +Ireland,Europe,2007,78.885,4109086,40675.99635 +Israel,Asia,1952,65.39,1620914,4086.522128 +Israel,Asia,1957,67.84,1944401,5385.278451 +Israel,Asia,1962,69.39,2310904,7105.630706 +Israel,Asia,1967,70.75,2693585,8393.741404 +Israel,Asia,1972,71.63,3095893,12786.93223 +Israel,Asia,1977,73.06,3495918,13306.61921 +Israel,Asia,1982,74.45,3858421,15367.0292 +Israel,Asia,1987,75.6,4203148,17122.47986 +Israel,Asia,1992,76.93,4936550,18051.52254 +Israel,Asia,1997,78.269,5531387,20896.60924 +Israel,Asia,2002,79.696,6029529,21905.59514 +Israel,Asia,2007,80.745,6426679,25523.2771 +Italy,Europe,1952,65.94,47666000,4931.404155 +Italy,Europe,1957,67.81,49182000,6248.656232 +Italy,Europe,1962,69.24,50843200,8243.58234 +Italy,Europe,1967,71.06,52667100,10022.40131 +Italy,Europe,1972,72.19,54365564,12269.27378 +Italy,Europe,1977,73.48,56059245,14255.98475 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+Japan,Asia,1967,71.43,100825279,9847.788607 +Japan,Asia,1972,73.42,107188273,14778.78636 +Japan,Asia,1977,75.38,113872473,16610.37701 +Japan,Asia,1982,77.11,118454974,19384.10571 +Japan,Asia,1987,78.67,122091325,22375.94189 +Japan,Asia,1992,79.36,124329269,26824.89511 +Japan,Asia,1997,80.69,125956499,28816.58499 +Japan,Asia,2002,82,127065841,28604.5919 +Japan,Asia,2007,82.603,127467972,31656.06806 +Jordan,Asia,1952,43.158,607914,1546.907807 +Jordan,Asia,1957,45.669,746559,1886.080591 +Jordan,Asia,1962,48.126,933559,2348.009158 +Jordan,Asia,1967,51.629,1255058,2741.796252 +Jordan,Asia,1972,56.528,1613551,2110.856309 +Jordan,Asia,1977,61.134,1937652,2852.351568 +Jordan,Asia,1982,63.739,2347031,4161.415959 +Jordan,Asia,1987,65.869,2820042,4448.679912 +Jordan,Asia,1992,68.015,3867409,3431.593647 +Jordan,Asia,1997,69.772,4526235,3645.379572 +Jordan,Asia,2002,71.263,5307470,3844.917194 +Jordan,Asia,2007,72.535,6053193,4519.461171 +Kenya,Africa,1952,42.27,6464046,853.540919 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Rep.",Asia,1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.",Asia,1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.",Asia,1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.",Asia,1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.",Asia,1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.",Asia,1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.",Asia,1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.",Asia,1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.",Asia,1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.",Asia,1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.",Asia,2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.",Asia,2007,67.297,23301725,1593.06548 +"Korea, Rep.",Asia,1952,47.453,20947571,1030.592226 +"Korea, Rep.",Asia,1957,52.681,22611552,1487.593537 +"Korea, Rep.",Asia,1962,55.292,26420307,1536.344387 +"Korea, Rep.",Asia,1967,57.716,30131000,2029.228142 +"Korea, Rep.",Asia,1972,62.612,33505000,3030.87665 +"Korea, Rep.",Asia,1977,64.766,36436000,4657.22102 +"Korea, Rep.",Asia,1982,67.123,39326000,5622.942464 +"Korea, Rep.",Asia,1987,69.81,41622000,8533.088805 +"Korea, Rep.",Asia,1992,72.244,43805450,12104.27872 +"Korea, Rep.",Asia,1997,74.647,46173816,15993.52796 +"Korea, Rep.",Asia,2002,77.045,47969150,19233.98818 +"Korea, Rep.",Asia,2007,78.623,49044790,23348.13973 +Kuwait,Asia,1952,55.565,160000,108382.3529 +Kuwait,Asia,1957,58.033,212846,113523.1329 +Kuwait,Asia,1962,60.47,358266,95458.11176 +Kuwait,Asia,1967,64.624,575003,80894.88326 +Kuwait,Asia,1972,67.712,841934,109347.867 +Kuwait,Asia,1977,69.343,1140357,59265.47714 +Kuwait,Asia,1982,71.309,1497494,31354.03573 +Kuwait,Asia,1987,74.174,1891487,28118.42998 +Kuwait,Asia,1992,75.19,1418095,34932.91959 +Kuwait,Asia,1997,76.156,1765345,40300.619960000004 +Kuwait,Asia,2002,76.904,2111561,35110.10566 +Kuwait,Asia,2007,77.588,2505559,47306.98978 +Lebanon,Asia,1952,55.928,1439529,4834.804067 +Lebanon,Asia,1957,59.489,1647412,6089.786934 +Lebanon,Asia,1962,62.094,1886848,5714.560611 +Lebanon,Asia,1967,63.87,2186894,6006.983042 +Lebanon,Asia,1972,65.421,2680018,7486.384341 +Lebanon,Asia,1977,66.099,3115787,8659.696836 +Lebanon,Asia,1982,66.983,3086876,7640.519521 +Lebanon,Asia,1987,67.926,3089353,5377.091329 +Lebanon,Asia,1992,69.292,3219994,6890.806854 +Lebanon,Asia,1997,70.265,3430388,8754.96385 +Lebanon,Asia,2002,71.028,3677780,9313.93883 +Lebanon,Asia,2007,71.993,3921278,10461.05868 +Lesotho,Africa,1952,42.138,748747,298.8462121 +Lesotho,Africa,1957,45.047,813338,335.9971151 +Lesotho,Africa,1962,47.747,893143,411.8006266 +Lesotho,Africa,1967,48.492,996380,498.6390265 +Lesotho,Africa,1972,49.767,1116779,496.5815922 +Lesotho,Africa,1977,52.208,1251524,745.3695408 +Lesotho,Africa,1982,55.078,1411807,797.2631074 +Lesotho,Africa,1987,57.18,1599200,773.9932141 +Lesotho,Africa,1992,59.685,1803195,977.4862725 +Lesotho,Africa,1997,55.558,1982823,1186.147994 +Lesotho,Africa,2002,44.593,2046772,1275.184575 +Lesotho,Africa,2007,42.592,2012649,1569.331442 +Liberia,Africa,1952,38.48,863308,575.5729961 +Liberia,Africa,1957,39.486,975950,620.9699901 +Liberia,Africa,1962,40.502,1112796,634.1951625 +Liberia,Africa,1967,41.536,1279406,713.6036483 +Liberia,Africa,1972,42.614,1482628,803.0054535 +Liberia,Africa,1977,43.764,1703617,640.3224383 +Liberia,Africa,1982,44.852,1956875,572.1995694 +Liberia,Africa,1987,46.027,2269414,506.1138573 +Liberia,Africa,1992,40.802,1912974,636.6229191 +Liberia,Africa,1997,42.221,2200725,609.17395079999994 +Liberia,Africa,2002,43.753,2814651,531.4823679 +Liberia,Africa,2007,45.678,3193942,414.5073415 +Libya,Africa,1952,42.723,1019729,2387.54806 +Libya,Africa,1957,45.289,1201578,3448.284395 +Libya,Africa,1962,47.808,1441863,6757.030816 +Libya,Africa,1967,50.227,1759224,18772.75169 +Libya,Africa,1972,52.773,2183877,21011.49721 +Libya,Africa,1977,57.442,2721783,21951.21176 +Libya,Africa,1982,62.155,3344074,17364.27538 +Libya,Africa,1987,66.234,3799845,11770.5898 +Libya,Africa,1992,68.755,4364501,9640.138501 +Libya,Africa,1997,71.555,4759670,9467.446056 +Libya,Africa,2002,72.737,5368585,9534.677467 +Libya,Africa,2007,73.952,6036914,12057.49928 +Madagascar,Africa,1952,36.681,4762912,1443.011715 +Madagascar,Africa,1957,38.865,5181679,1589.20275 +Madagascar,Africa,1962,40.848,5703324,1643.38711 +Madagascar,Africa,1967,42.881,6334556,1634.047282 +Madagascar,Africa,1972,44.851,7082430,1748.562982 +Madagascar,Africa,1977,46.881,8007166,1544.228586 +Madagascar,Africa,1982,48.969,9171477,1302.878658 +Madagascar,Africa,1987,49.35,10568642,1155.441948 +Madagascar,Africa,1992,52.214,12210395,1040.67619 +Madagascar,Africa,1997,54.978,14165114,986.2958956 +Madagascar,Africa,2002,57.286,16473477,894.6370822 +Madagascar,Africa,2007,59.443,19167654,1044.770126 +Malawi,Africa,1952,36.256,2917802,369.1650802 +Malawi,Africa,1957,37.207,3221238,416.3698064 +Malawi,Africa,1962,38.41,3628608,427.9010856 +Malawi,Africa,1967,39.487,4147252,495.5147806 +Malawi,Africa,1972,41.766,4730997,584.6219709 +Malawi,Africa,1977,43.767,5637246,663.2236766 +Malawi,Africa,1982,45.642,6502825,632.8039209 +Malawi,Africa,1987,47.457,7824747,635.5173634 +Malawi,Africa,1992,49.42,10014249,563.2000145 +Malawi,Africa,1997,47.495,10419991,692.2758103 +Malawi,Africa,2002,45.009,11824495,665.4231186 +Malawi,Africa,2007,48.303,13327079,759.3499101 +Malaysia,Asia,1952,48.463,6748378,1831.132894 +Malaysia,Asia,1957,52.102,7739235,1810.066992 +Malaysia,Asia,1962,55.737,8906385,2036.884944 +Malaysia,Asia,1967,59.371,10154878,2277.742396 +Malaysia,Asia,1972,63.01,11441462,2849.09478 +Malaysia,Asia,1977,65.256,12845381,3827.921571 +Malaysia,Asia,1982,68,14441916,4920.355951 +Malaysia,Asia,1987,69.5,16331785,5249.802653 +Malaysia,Asia,1992,70.693,18319502,7277.912802 +Malaysia,Asia,1997,71.938,20476091,10132.90964 +Malaysia,Asia,2002,73.044,22662365,10206.97794 +Malaysia,Asia,2007,74.241,24821286,12451.6558 +Mali,Africa,1952,33.685,3838168,452.3369807 +Mali,Africa,1957,35.307,4241884,490.3821867 +Mali,Africa,1962,36.936,4690372,496.1743428 +Mali,Africa,1967,38.487,5212416,545.0098873 +Mali,Africa,1972,39.977,5828158,581.3688761 +Mali,Africa,1977,41.714,6491649,686.3952693 +Mali,Africa,1982,43.916,6998256,618.0140641 +Mali,Africa,1987,46.364,7634008,684.1715576 +Mali,Africa,1992,48.388,8416215,739.014375 +Mali,Africa,1997,49.903,9384984,790.2579846 +Mali,Africa,2002,51.818,10580176,951.4097518 +Mali,Africa,2007,54.467,12031795,1042.581557 +Mauritania,Africa,1952,40.543,1022556,743.1159097 +Mauritania,Africa,1957,42.338,1076852,846.1202613 +Mauritania,Africa,1962,44.248,1146757,1055.896036 +Mauritania,Africa,1967,46.289,1230542,1421.145193 +Mauritania,Africa,1972,48.437,1332786,1586.851781 +Mauritania,Africa,1977,50.852,1456688,1497.492223 +Mauritania,Africa,1982,53.599,1622136,1481.150189 +Mauritania,Africa,1987,56.145,1841240,1421.603576 +Mauritania,Africa,1992,58.333,2119465,1361.369784 +Mauritania,Africa,1997,60.43,2444741,1483.136136 +Mauritania,Africa,2002,62.247,2828858,1579.019543 +Mauritania,Africa,2007,64.164,3270065,1803.151496 +Mauritius,Africa,1952,50.986,516556,1967.955707 +Mauritius,Africa,1957,58.089,609816,2034.037981 +Mauritius,Africa,1962,60.246,701016,2529.067487 +Mauritius,Africa,1967,61.557,789309,2475.387562 +Mauritius,Africa,1972,62.944,851334,2575.484158 +Mauritius,Africa,1977,64.93,913025,3710.982963 +Mauritius,Africa,1982,66.711,992040,3688.037739 +Mauritius,Africa,1987,68.74,1042663,4783.586903 +Mauritius,Africa,1992,69.745,1096202,6058.253846 +Mauritius,Africa,1997,70.736,1149818,7425.705295 +Mauritius,Africa,2002,71.954,1200206,9021.815894 +Mauritius,Africa,2007,72.801,1250882,10956.99112 +Mexico,Americas,1952,50.789,30144317,3478.125529 +Mexico,Americas,1957,55.19,35015548,4131.546641 +Mexico,Americas,1962,58.299,41121485,4581.609385 +Mexico,Americas,1967,60.11,47995559,5754.733883 +Mexico,Americas,1972,62.361,55984294,6809.40669 +Mexico,Americas,1977,65.032,63759976,7674.929108 +Mexico,Americas,1982,67.405,71640904,9611.147541 +Mexico,Americas,1987,69.498,80122492,8688.156003 +Mexico,Americas,1992,71.455,88111030,9472.384295 +Mexico,Americas,1997,73.67,95895146,9767.29753 +Mexico,Americas,2002,74.902,102479927,10742.44053 +Mexico,Americas,2007,76.195,108700891,11977.57496 +Mongolia,Asia,1952,42.244,800663,786.5668575 +Mongolia,Asia,1957,45.248,882134,912.6626085 +Mongolia,Asia,1962,48.251,1010280,1056.353958 +Mongolia,Asia,1967,51.253,1149500,1226.04113 +Mongolia,Asia,1972,53.754,1320500,1421.741975 +Mongolia,Asia,1977,55.491,1528000,1647.511665 +Mongolia,Asia,1982,57.489,1756032,2000.603139 +Mongolia,Asia,1987,60.222,2015133,2338.008304 +Mongolia,Asia,1992,61.271,2312802,1785.402016 +Mongolia,Asia,1997,63.625,2494803,1902.2521 +Mongolia,Asia,2002,65.033,2674234,2140.739323 +Mongolia,Asia,2007,66.803,2874127,3095.772271 +Montenegro,Europe,1952,59.164,413834,2647.585601 +Montenegro,Europe,1957,61.448,442829,3682.259903 +Montenegro,Europe,1962,63.728,474528,4649.593785 +Montenegro,Europe,1967,67.178,501035,5907.850937 +Montenegro,Europe,1972,70.636,527678,7778.414017 +Montenegro,Europe,1977,73.066,560073,9595.929905 +Montenegro,Europe,1982,74.101,562548,11222.58762 +Montenegro,Europe,1987,74.865,569473,11732.51017 +Montenegro,Europe,1992,75.435,621621,7003.339037 +Montenegro,Europe,1997,75.445,692651,6465.613349 +Montenegro,Europe,2002,73.981,720230,6557.194282 +Montenegro,Europe,2007,74.543,684736,9253.896111 +Morocco,Africa,1952,42.873,9939217,1688.20357 +Morocco,Africa,1957,45.423,11406350,1642.002314 +Morocco,Africa,1962,47.924,13056604,1566.353493 +Morocco,Africa,1967,50.335,14770296,1711.04477 +Morocco,Africa,1972,52.862,16660670,1930.194975 +Morocco,Africa,1977,55.73,18396941,2370.619976 +Morocco,Africa,1982,59.65,20198730,2702.620356 +Morocco,Africa,1987,62.677,22987397,2755.046991 +Morocco,Africa,1992,65.393,25798239,2948.047252 +Morocco,Africa,1997,67.66,28529501,2982.101858 +Morocco,Africa,2002,69.615,31167783,3258.495584 +Morocco,Africa,2007,71.164,33757175,3820.17523 +Mozambique,Africa,1952,31.286,6446316,468.5260381 +Mozambique,Africa,1957,33.779,7038035,495.5868333 +Mozambique,Africa,1962,36.161,7788944,556.6863539 +Mozambique,Africa,1967,38.113,8680909,566.6691539 +Mozambique,Africa,1972,40.328,9809596,724.9178037 +Mozambique,Africa,1977,42.495,11127868,502.3197334 +Mozambique,Africa,1982,42.795,12587223,462.2114149 +Mozambique,Africa,1987,42.861,12891952,389.8761846 +Mozambique,Africa,1992,44.284,13160731,410.8968239 +Mozambique,Africa,1997,46.344,16603334,472.3460771 +Mozambique,Africa,2002,44.026,18473780,633.6179466 +Mozambique,Africa,2007,42.082,19951656,823.6856205 +Myanmar,Asia,1952,36.319,20092996,331 +Myanmar,Asia,1957,41.905,21731844,350 +Myanmar,Asia,1962,45.108,23634436,388 +Myanmar,Asia,1967,49.379,25870271,349 +Myanmar,Asia,1972,53.07,28466390,357 +Myanmar,Asia,1977,56.059,31528087,371 +Myanmar,Asia,1982,58.056,34680442,424 +Myanmar,Asia,1987,58.339,38028578,385 +Myanmar,Asia,1992,59.32,40546538,347 +Myanmar,Asia,1997,60.328,43247867,415 +Myanmar,Asia,2002,59.908,45598081,611 +Myanmar,Asia,2007,62.069,47761980,944 +Namibia,Africa,1952,41.725,485831,2423.780443 +Namibia,Africa,1957,45.226,548080,2621.448058 +Namibia,Africa,1962,48.386,621392,3173.215595 +Namibia,Africa,1967,51.159,706640,3793.694753 +Namibia,Africa,1972,53.867,821782,3746.080948 +Namibia,Africa,1977,56.437,977026,3876.485958 +Namibia,Africa,1982,58.968,1099010,4191.100511 +Namibia,Africa,1987,60.835,1278184,3693.731337 +Namibia,Africa,1992,61.999,1554253,3804.537999 +Namibia,Africa,1997,58.909,1774766,3899.52426 +Namibia,Africa,2002,51.479,1972153,4072.324751 +Namibia,Africa,2007,52.906,2055080,4811.060429 +Nepal,Asia,1952,36.157,9182536,545.8657229 +Nepal,Asia,1957,37.686,9682338,597.9363558 +Nepal,Asia,1962,39.393,10332057,652.3968593 +Nepal,Asia,1967,41.472,11261690,676.4422254 +Nepal,Asia,1972,43.971,12412593,674.7881296 +Nepal,Asia,1977,46.748,13933198,694.1124398 +Nepal,Asia,1982,49.594,15796314,718.3730947 +Nepal,Asia,1987,52.537,17917180,775.6324501 +Nepal,Asia,1992,55.727,20326209,897.7403604 +Nepal,Asia,1997,59.426,23001113,1010.892138 +Nepal,Asia,2002,61.34,25873917,1057.206311 +Nepal,Asia,2007,63.785,28901790,1091.359778 +Netherlands,Europe,1952,72.13,10381988,8941.571858 +Netherlands,Europe,1957,72.99,11026383,11276.19344 +Netherlands,Europe,1962,73.23,11805689,12790.84956 +Netherlands,Europe,1967,73.82,12596822,15363.25136 +Netherlands,Europe,1972,73.75,13329874,18794.74567 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Principe,Africa,1997,63.306,145608,1339.076036 +Sao Tome and Principe,Africa,2002,64.337,170372,1353.09239 +Sao Tome and Principe,Africa,2007,65.528,199579,1598.435089 +Saudi Arabia,Asia,1952,39.875,4005677,6459.554823 +Saudi Arabia,Asia,1957,42.868,4419650,8157.591248 +Saudi Arabia,Asia,1962,45.914,4943029,11626.41975 +Saudi Arabia,Asia,1967,49.901,5618198,16903.04886 +Saudi Arabia,Asia,1972,53.886,6472756,24837.42865 +Saudi Arabia,Asia,1977,58.69,8128505,34167.7626 +Saudi Arabia,Asia,1982,63.012,11254672,33693.17525 +Saudi Arabia,Asia,1987,66.295,14619745,21198.26136 +Saudi Arabia,Asia,1992,68.768,16945857,24841.61777 +Saudi Arabia,Asia,1997,70.533,21229759,20586.69019 +Saudi Arabia,Asia,2002,71.626,24501530,19014.54118 +Saudi Arabia,Asia,2007,72.777,27601038,21654.83194 +Senegal,Africa,1952,37.278,2755589,1450.356983 +Senegal,Africa,1957,39.329,3054547,1567.653006 +Senegal,Africa,1962,41.454,3430243,1654.988723 +Senegal,Africa,1967,43.563,3965841,1612.404632 +Senegal,Africa,1972,45.815,4588696,1597.712056 +Senegal,Africa,1977,48.879,5260855,1561.769116 +Senegal,Africa,1982,52.379,6147783,1518.479984 +Senegal,Africa,1987,55.769,7171347,1441.72072 +Senegal,Africa,1992,58.196,8307920,1367.899369 +Senegal,Africa,1997,60.187,9535314,1392.368347 +Senegal,Africa,2002,61.6,10870037,1519.635262 +Senegal,Africa,2007,63.062,12267493,1712.472136 +Serbia,Europe,1952,57.996,6860147,3581.459448 +Serbia,Europe,1957,61.685,7271135,4981.090891 +Serbia,Europe,1962,64.531,7616060,6289.629157 +Serbia,Europe,1967,66.914,7971222,7991.707066 +Serbia,Europe,1972,68.7,8313288,10522.06749 +Serbia,Europe,1977,70.3,8686367,12980.66956 +Serbia,Europe,1982,70.162,9032824,15181.0927 +Serbia,Europe,1987,71.218,9230783,15870.87851 +Serbia,Europe,1992,71.659,9826397,9325.068238 +Serbia,Europe,1997,72.232,10336594,7914.320304 +Serbia,Europe,2002,73.213,10111559,7236.075251 +Serbia,Europe,2007,74.002,10150265,9786.534714 +Sierra Leone,Africa,1952,30.331,2143249,879.7877358 +Sierra Leone,Africa,1957,31.57,2295678,1004.484437 +Sierra Leone,Africa,1962,32.767,2467895,1116.639877 +Sierra Leone,Africa,1967,34.113,2662190,1206.043465 +Sierra Leone,Africa,1972,35.4,2879013,1353.759762 +Sierra Leone,Africa,1977,36.788,3140897,1348.285159 +Sierra Leone,Africa,1982,38.445,3464522,1465.010784 +Sierra Leone,Africa,1987,40.006,3868905,1294.447788 +Sierra Leone,Africa,1992,38.333,4260884,1068.696278 +Sierra Leone,Africa,1997,39.897,4578212,574.6481576 +Sierra Leone,Africa,2002,41.012,5359092,699.489713 +Sierra Leone,Africa,2007,42.568,6144562,862.5407561 +Singapore,Asia,1952,60.396,1127000,2315.138227 +Singapore,Asia,1957,63.179,1445929,2843.104409 +Singapore,Asia,1962,65.798,1750200,3674.735572 +Singapore,Asia,1967,67.946,1977600,4977.41854 +Singapore,Asia,1972,69.521,2152400,8597.756202 +Singapore,Asia,1977,70.795,2325300,11210.08948 +Singapore,Asia,1982,71.76,2651869,15169.16112 +Singapore,Asia,1987,73.56,2794552,18861.53081 +Singapore,Asia,1992,75.788,3235865,24769.8912 +Singapore,Asia,1997,77.158,3802309,33519.4766 +Singapore,Asia,2002,78.77,4197776,36023.1054 +Singapore,Asia,2007,79.972,4553009,47143.17964 +Slovak Republic,Europe,1952,64.36,3558137,5074.659104 +Slovak Republic,Europe,1957,67.45,3844277,6093.26298 +Slovak Republic,Europe,1962,70.33,4237384,7481.107598 +Slovak Republic,Europe,1967,70.98,4442238,8412.902397 +Slovak Republic,Europe,1972,70.35,4593433,9674.167626 +Slovak Republic,Europe,1977,70.45,4827803,10922.66404 +Slovak Republic,Europe,1982,70.8,5048043,11348.54585 +Slovak Republic,Europe,1987,71.08,5199318,12037.26758 +Slovak Republic,Europe,1992,71.38,5302888,9498.467723 +Slovak Republic,Europe,1997,72.71,5383010,12126.23065 +Slovak Republic,Europe,2002,73.8,5410052,13638.77837 +Slovak Republic,Europe,2007,74.663,5447502,18678.31435 +Slovenia,Europe,1952,65.57,1489518,4215.041741 +Slovenia,Europe,1957,67.85,1533070,5862.276629 +Slovenia,Europe,1962,69.15,1582962,7402.303395 +Slovenia,Europe,1967,69.18,1646912,9405.489397 +Slovenia,Europe,1972,69.82,1694510,12383.4862 +Slovenia,Europe,1977,70.97,1746919,15277.03017 +Slovenia,Europe,1982,71.063,1861252,17866.72175 +Slovenia,Europe,1987,72.25,1945870,18678.53492 +Slovenia,Europe,1992,73.64,1999210,14214.71681 +Slovenia,Europe,1997,75.13,2011612,17161.10735 +Slovenia,Europe,2002,76.66,2011497,20660.01936 +Slovenia,Europe,2007,77.926,2009245,25768.25759 +Somalia,Africa,1952,32.978,2526994,1135.749842 +Somalia,Africa,1957,34.977,2780415,1258.147413 +Somalia,Africa,1962,36.981,3080153,1369.488336 +Somalia,Africa,1967,38.977,3428839,1284.73318 +Somalia,Africa,1972,40.973,3840161,1254.576127 +Somalia,Africa,1977,41.974,4353666,1450.992513 +Somalia,Africa,1982,42.955,5828892,1176.807031 +Somalia,Africa,1987,44.501,6921858,1093.244963 +Somalia,Africa,1992,39.658,6099799,926.9602964 +Somalia,Africa,1997,43.795,6633514,930.5964284 +Somalia,Africa,2002,45.936,7753310,882.0818218 +Somalia,Africa,2007,48.159,9118773,926.1410683 +South Africa,Africa,1952,45.009,14264935,4725.295531 +South Africa,Africa,1957,47.985,16151549,5487.104219 +South Africa,Africa,1962,49.951,18356657,5768.729717 +South Africa,Africa,1967,51.927,20997321,7114.477971 +South Africa,Africa,1972,53.696,23935810,7765.962636 +South Africa,Africa,1977,55.527,27129932,8028.651439 +South Africa,Africa,1982,58.161,31140029,8568.266228 +South Africa,Africa,1987,60.834,35933379,7825.823398 +South Africa,Africa,1992,61.888,39964159,7225.069258 +South Africa,Africa,1997,60.236,42835005,7479.188244 +South Africa,Africa,2002,53.365,44433622,7710.946444 +South Africa,Africa,2007,49.339,43997828,9269.657808 +Spain,Europe,1952,64.94,28549870,3834.034742 +Spain,Europe,1957,66.66,29841614,4564.80241 +Spain,Europe,1962,69.69,31158061,5693.843879 +Spain,Europe,1967,71.44,32850275,7993.512294 +Spain,Europe,1972,73.06,34513161,10638.75131 +Spain,Europe,1977,74.39,36439000,13236.92117 +Spain,Europe,1982,76.3,37983310,13926.16997 +Spain,Europe,1987,76.9,38880702,15764.98313 +Spain,Europe,1992,77.57,39549438,18603.06452 +Spain,Europe,1997,78.77,39855442,20445.29896 +Spain,Europe,2002,79.78,40152517,24835.47166 +Spain,Europe,2007,80.941,40448191,28821.0637 +Sri Lanka,Asia,1952,57.593,7982342,1083.53203 +Sri Lanka,Asia,1957,61.456,9128546,1072.546602 +Sri Lanka,Asia,1962,62.192,10421936,1074.47196 +Sri Lanka,Asia,1967,64.266,11737396,1135.514326 +Sri Lanka,Asia,1972,65.042,13016733,1213.39553 +Sri Lanka,Asia,1977,65.949,14116836,1348.775651 +Sri Lanka,Asia,1982,68.757,15410151,1648.079789 +Sri Lanka,Asia,1987,69.011,16495304,1876.766827 +Sri Lanka,Asia,1992,70.379,17587060,2153.739222 +Sri Lanka,Asia,1997,70.457,18698655,2664.477257 +Sri Lanka,Asia,2002,70.815,19576783,3015.378833 +Sri Lanka,Asia,2007,72.396,20378239,3970.095407 +Sudan,Africa,1952,38.635,8504667,1615.991129 +Sudan,Africa,1957,39.624,9753392,1770.337074 +Sudan,Africa,1962,40.87,11183227,1959.593767 +Sudan,Africa,1967,42.858,12716129,1687.997641 +Sudan,Africa,1972,45.083,14597019,1659.652775 +Sudan,Africa,1977,47.8,17104986,2202.988423 +Sudan,Africa,1982,50.338,20367053,1895.544073 +Sudan,Africa,1987,51.744,24725960,1507.819159 +Sudan,Africa,1992,53.556,28227588,1492.197043 +Sudan,Africa,1997,55.373,32160729,1632.210764 +Sudan,Africa,2002,56.369,37090298,1993.398314 +Sudan,Africa,2007,58.556,42292929,2602.394995 +Swaziland,Africa,1952,41.407,290243,1148.376626 +Swaziland,Africa,1957,43.424,326741,1244.708364 +Swaziland,Africa,1962,44.992,370006,1856.182125 +Swaziland,Africa,1967,46.633,420690,2613.101665 +Swaziland,Africa,1972,49.552,480105,3364.836625 +Swaziland,Africa,1977,52.537,551425,3781.410618 +Swaziland,Africa,1982,55.561,649901,3895.384018 +Swaziland,Africa,1987,57.678,779348,3984.839812 +Swaziland,Africa,1992,58.474,962344,3553.0224 +Swaziland,Africa,1997,54.289,1054486,3876.76846 +Swaziland,Africa,2002,43.869,1130269,4128.116943 +Swaziland,Africa,2007,39.613,1133066,4513.480643 +Sweden,Europe,1952,71.86,7124673,8527.844662 +Sweden,Europe,1957,72.49,7363802,9911.878226 +Sweden,Europe,1962,73.37,7561588,12329.44192 +Sweden,Europe,1967,74.16,7867931,15258.29697 +Sweden,Europe,1972,74.72,8122293,17832.02464 +Sweden,Europe,1977,75.44,8251648,18855.72521 +Sweden,Europe,1982,76.42,8325260,20667.38125 +Sweden,Europe,1987,77.19,8421403,23586.92927 +Sweden,Europe,1992,78.16,8718867,23880.01683 +Sweden,Europe,1997,79.39,8897619,25266.59499 +Sweden,Europe,2002,80.04,8954175,29341.63093 +Sweden,Europe,2007,80.884,9031088,33859.74835 +Switzerland,Europe,1952,69.62,4815000,14734.23275 +Switzerland,Europe,1957,70.56,5126000,17909.48973 +Switzerland,Europe,1962,71.32,5666000,20431.0927 +Switzerland,Europe,1967,72.77,6063000,22966.14432 +Switzerland,Europe,1972,73.78,6401400,27195.11304 +Switzerland,Europe,1977,75.39,6316424,26982.29052 +Switzerland,Europe,1982,76.21,6468126,28397.71512 +Switzerland,Europe,1987,77.41,6649942,30281.70459 +Switzerland,Europe,1992,78.03,6995447,31871.5303 +Switzerland,Europe,1997,79.37,7193761,32135.32301 +Switzerland,Europe,2002,80.62,7361757,34480.95771 +Switzerland,Europe,2007,81.701,7554661,37506.41907 +Syria,Asia,1952,45.883,3661549,1643.485354 +Syria,Asia,1957,48.284,4149908,2117.234893 +Syria,Asia,1962,50.305,4834621,2193.037133 +Syria,Asia,1967,53.655,5680812,1881.923632 +Syria,Asia,1972,57.296,6701172,2571.423014 +Syria,Asia,1977,61.195,7932503,3195.484582 +Syria,Asia,1982,64.59,9410494,3761.837715 +Syria,Asia,1987,66.974,11242847,3116.774285 +Syria,Asia,1992,69.249,13219062,3340.542768 +Syria,Asia,1997,71.527,15081016,4014.238972 +Syria,Asia,2002,73.053,17155814,4090.925331 +Syria,Asia,2007,74.143,19314747,4184.548089 +Taiwan,Asia,1952,58.5,8550362,1206.947913 +Taiwan,Asia,1957,62.4,10164215,1507.86129 +Taiwan,Asia,1962,65.2,11918938,1822.879028 +Taiwan,Asia,1967,67.5,13648692,2643.858681 +Taiwan,Asia,1972,69.39,15226039,4062.523897 +Taiwan,Asia,1977,70.59,16785196,5596.519826 +Taiwan,Asia,1982,72.16,18501390,7426.354774 +Taiwan,Asia,1987,73.4,19757799,11054.56175 +Taiwan,Asia,1992,74.26,20686918,15215.6579 +Taiwan,Asia,1997,75.25,21628605,20206.82098 +Taiwan,Asia,2002,76.99,22454239,23235.42329 +Taiwan,Asia,2007,78.4,23174294,28718.27684 +Tanzania,Africa,1952,41.215,8322925,716.6500721 +Tanzania,Africa,1957,42.974,9452826,698.5356073 +Tanzania,Africa,1962,44.246,10863958,722.0038073 +Tanzania,Africa,1967,45.757,12607312,848.2186575 +Tanzania,Africa,1972,47.62,14706593,915.9850592 +Tanzania,Africa,1977,49.919,17129565,962.4922932 +Tanzania,Africa,1982,50.608,19844382,874.2426069 +Tanzania,Africa,1987,51.535,23040630,831.8220794 +Tanzania,Africa,1992,50.44,26605473,825.682454 +Tanzania,Africa,1997,48.466,30686889,789.1862231 +Tanzania,Africa,2002,49.651,34593779,899.0742111 +Tanzania,Africa,2007,52.517,38139640,1107.482182 +Thailand,Asia,1952,50.848,21289402,757.7974177 +Thailand,Asia,1957,53.63,25041917,793.5774148 +Thailand,Asia,1962,56.061,29263397,1002.199172 +Thailand,Asia,1967,58.285,34024249,1295.46066 +Thailand,Asia,1972,60.405,39276153,1524.358936 +Thailand,Asia,1977,62.494,44148285,1961.224635 +Thailand,Asia,1982,64.597,48827160,2393.219781 +Thailand,Asia,1987,66.084,52910342,2982.653773 +Thailand,Asia,1992,67.298,56667095,4616.896545 +Thailand,Asia,1997,67.521,60216677,5852.625497 +Thailand,Asia,2002,68.564,62806748,5913.187529 +Thailand,Asia,2007,70.616,65068149,7458.396327 +Togo,Africa,1952,38.596,1219113,859.8086567 +Togo,Africa,1957,41.208,1357445,925.9083202 +Togo,Africa,1962,43.922,1528098,1067.53481 +Togo,Africa,1967,46.769,1735550,1477.59676 +Togo,Africa,1972,49.759,2056351,1649.660188 +Togo,Africa,1977,52.887,2308582,1532.776998 +Togo,Africa,1982,55.471,2644765,1344.577953 +Togo,Africa,1987,56.941,3154264,1202.201361 +Togo,Africa,1992,58.061,3747553,1034.298904 +Togo,Africa,1997,58.39,4320890,982.2869243 +Togo,Africa,2002,57.561,4977378,886.2205765 +Togo,Africa,2007,58.42,5701579,882.9699438 +Trinidad and Tobago,Americas,1952,59.1,662850,3023.271928 +Trinidad and Tobago,Americas,1957,61.8,764900,4100.3934 +Trinidad and Tobago,Americas,1962,64.9,887498,4997.523971 +Trinidad and Tobago,Americas,1967,65.4,960155,5621.368472 +Trinidad and Tobago,Americas,1972,65.9,975199,6619.551419 +Trinidad and Tobago,Americas,1977,68.3,1039009,7899.554209 +Trinidad and Tobago,Americas,1982,68.832,1116479,9119.528607 +Trinidad and Tobago,Americas,1987,69.582,1191336,7388.597823 +Trinidad and Tobago,Americas,1992,69.862,1183669,7370.990932 +Trinidad and Tobago,Americas,1997,69.465,1138101,8792.573126 +Trinidad and Tobago,Americas,2002,68.976,1101832,11460.60023 +Trinidad and Tobago,Americas,2007,69.819,1056608,18008.50924 +Tunisia,Africa,1952,44.6,3647735,1468.475631 +Tunisia,Africa,1957,47.1,3950849,1395.232468 +Tunisia,Africa,1962,49.579,4286552,1660.30321 +Tunisia,Africa,1967,52.053,4786986,1932.360167 +Tunisia,Africa,1972,55.602,5303507,2753.285994 +Tunisia,Africa,1977,59.837,6005061,3120.876811 +Tunisia,Africa,1982,64.048,6734098,3560.233174 +Tunisia,Africa,1987,66.894,7724976,3810.419296 +Tunisia,Africa,1992,70.001,8523077,4332.720164 +Tunisia,Africa,1997,71.973,9231669,4876.798614 +Tunisia,Africa,2002,73.042,9770575,5722.895655 +Tunisia,Africa,2007,73.923,10276158,7092.923025 +Turkey,Europe,1952,43.585,22235677,1969.10098 +Turkey,Europe,1957,48.079,25670939,2218.754257 +Turkey,Europe,1962,52.098,29788695,2322.869908 +Turkey,Europe,1967,54.336,33411317,2826.356387 +Turkey,Europe,1972,57.005,37492953,3450.69638 +Turkey,Europe,1977,59.507,42404033,4269.122326 +Turkey,Europe,1982,61.036,47328791,4241.356344 +Turkey,Europe,1987,63.108,52881328,5089.043686 +Turkey,Europe,1992,66.146,58179144,5678.348271 +Turkey,Europe,1997,68.835,63047647,6601.429915 +Turkey,Europe,2002,70.845,67308928,6508.085718 +Turkey,Europe,2007,71.777,71158647,8458.276384 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Kingdom,Europe,1987,75.007,56981620,21664.78767 +United Kingdom,Europe,1992,76.42,57866349,22705.09254 +United Kingdom,Europe,1997,77.218,58808266,26074.53136 +United Kingdom,Europe,2002,78.471,59912431,29478.99919 +United Kingdom,Europe,2007,79.425,60776238,33203.26128 +United States,Americas,1952,68.44,157553000,13990.48208 +United States,Americas,1957,69.49,171984000,14847.12712 +United States,Americas,1962,70.21,186538000,16173.14586 +United States,Americas,1967,70.76,198712000,19530.36557 +United States,Americas,1972,71.34,209896000,21806.03594 +United States,Americas,1977,73.38,220239000,24072.63213 +United States,Americas,1982,74.65,232187835,25009.55914 +United States,Americas,1987,75.02,242803533,29884.35041 +United States,Americas,1992,76.09,256894189,32003.93224 +United States,Americas,1997,76.81,272911760,35767.43303 +United States,Americas,2002,77.31,287675526,39097.09955 +United States,Americas,2007,78.242,301139947,42951.65309 +Uruguay,Americas,1952,66.071,2252965,5716.766744 +Uruguay,Americas,1957,67.044,2424959,6150.772969 +Uruguay,Americas,1962,68.253,2598466,5603.357717 +Uruguay,Americas,1967,68.468,2748579,5444.61962 +Uruguay,Americas,1972,68.673,2829526,5703.408898 +Uruguay,Americas,1977,69.481,2873520,6504.339663 +Uruguay,Americas,1982,70.805,2953997,6920.223051 +Uruguay,Americas,1987,71.918,3045153,7452.398969 +Uruguay,Americas,1992,72.752,3149262,8137.004775 +Uruguay,Americas,1997,74.223,3262838,9230.240708 +Uruguay,Americas,2002,75.307,3363085,7727.002004 +Uruguay,Americas,2007,76.384,3447496,10611.46299 +Venezuela,Americas,1952,55.088,5439568,7689.799761 +Venezuela,Americas,1957,57.907,6702668,9802.466526 +Venezuela,Americas,1962,60.77,8143375,8422.974165 +Venezuela,Americas,1967,63.479,9709552,9541.474188 +Venezuela,Americas,1972,65.712,11515649,10505.25966 +Venezuela,Americas,1977,67.456,13503563,13143.95095 +Venezuela,Americas,1982,68.557,15620766,11152.41011 +Venezuela,Americas,1987,70.19,17910182,9883.584648 +Venezuela,Americas,1992,71.15,20265563,10733.92631 +Venezuela,Americas,1997,72.146,22374398,10165.49518 +Venezuela,Americas,2002,72.766,24287670,8605.047831 +Venezuela,Americas,2007,73.747,26084662,11415.80569 +Vietnam,Asia,1952,40.412,26246839,605.0664917 +Vietnam,Asia,1957,42.887,28998543,676.2854478 +Vietnam,Asia,1962,45.363,33796140,772.0491602 +Vietnam,Asia,1967,47.838,39463910,637.1232887 +Vietnam,Asia,1972,50.254,44655014,699.5016441 +Vietnam,Asia,1977,55.764,50533506,713.5371196 +Vietnam,Asia,1982,58.816,56142181,707.2357863 +Vietnam,Asia,1987,62.82,62826491,820.7994449 +Vietnam,Asia,1992,67.662,69940728,989.0231487 +Vietnam,Asia,1997,70.672,76048996,1385.896769 +Vietnam,Asia,2002,73.017,80908147,1764.456677 +Vietnam,Asia,2007,74.249,85262356,2441.576404 +West Bank and Gaza,Asia,1952,43.16,1030585,1515.592329 +West Bank and Gaza,Asia,1957,45.671,1070439,1827.067742 +West Bank and Gaza,Asia,1962,48.127,1133134,2198.956312 +West Bank and Gaza,Asia,1967,51.631,1142636,2649.715007 +West Bank and Gaza,Asia,1972,56.532,1089572,3133.409277 +West Bank and Gaza,Asia,1977,60.765,1261091,3682.831494 +West Bank and Gaza,Asia,1982,64.406,1425876,4336.032082 +West Bank and Gaza,Asia,1987,67.046,1691210,5107.197384 +West Bank and Gaza,Asia,1992,69.718,2104779,6017.654756 +West Bank and Gaza,Asia,1997,71.096,2826046,7110.667619 +West Bank and Gaza,Asia,2002,72.37,3389578,4515.487575 +West Bank and Gaza,Asia,2007,73.422,4018332,3025.349798 +"Yemen, Rep.",Asia,1952,32.548,4963829,781.7175761 +"Yemen, Rep.",Asia,1957,33.97,5498090,804.8304547 +"Yemen, Rep.",Asia,1962,35.18,6120081,825.6232006 +"Yemen, Rep.",Asia,1967,36.984,6740785,862.4421463 +"Yemen, Rep.",Asia,1972,39.848,7407075,1265.047031 +"Yemen, Rep.",Asia,1977,44.175,8403990,1829.765177 +"Yemen, Rep.",Asia,1982,49.113,9657618,1977.55701 +"Yemen, Rep.",Asia,1987,52.922,11219340,1971.741538 +"Yemen, Rep.",Asia,1992,55.599,13367997,1879.496673 +"Yemen, 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a/docs/projects/regression-example/example_gapminder.Rmd b/docs/projects/regression-example/example_gapminder.Rmd new file mode 100644 index 00000000..0156b6c7 --- /dev/null +++ b/docs/projects/regression-example/example_gapminder.Rmd @@ -0,0 +1,16 @@ +--- +title: "Health and wealth" +--- + +```{r libraries-data} +library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. +library(broom) # This lets you convert regression models into nice tables +library(modelsummary) # This lets you combine multiple regression models into a single table + +gapminder <- read_csv("data/gapminder.csv") + +# TODO: Make a new dataset called gapminder_2007 that: +# 1. Only contains rows for 2007 +# 2. Omits rows from Oceania + +``` diff --git a/docs/projects/regression-example/example_sat-gpa.Rmd b/docs/projects/regression-example/example_sat-gpa.Rmd new file mode 100644 index 00000000..b82b3a69 --- /dev/null +++ b/docs/projects/regression-example/example_sat-gpa.Rmd @@ -0,0 +1,26 @@ +--- +title: "SAT scores and college GPA" +output: + html_document: + toc: yes +--- + +```{r libraries-data} +library(tidyverse) # This lets you create plots with ggplot, manipulate data, etc. +library(broom) # This lets you convert regression models into nice tables +library(modelsummary) # This lets you combine multiple regression models into a single table + +sat_gpa <- read_csv("data/sat_gpa.csv") +``` + +# Models + +## Do SAT scores predict freshman GPAs? + +## Does a certain type of SAT score have a larger effect on freshman GPAs? + +## Do high school GPAs predict freshman GPAs? + +## College GPA ~ SAT + sex + +## College GPA ~ SAT + high school GPA + sex diff --git a/docs/projects/regression-example/regression.Rproj b/docs/projects/regression-example/regression.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/regression-example/regression.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/threats-validity/threats-validity.Rproj b/docs/projects/threats-validity/threats-validity.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/threats-validity/threats-validity.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/threats-validity/your-name_threats-to-validity.Rmd b/docs/projects/threats-validity/your-name_threats-to-validity.Rmd new file mode 100644 index 00000000..a4748387 --- /dev/null +++ b/docs/projects/threats-validity/your-name_threats-to-validity.Rmd @@ -0,0 +1,138 @@ +--- +title: "Threats to validity" +author: "YOUR NAME HERE" +date: "DATE GOES HERE" +output: + html_document: + toc: yes + pdf_document: + latex_engine: xelatex + toc: yes + word_document: + toc: yes +--- + +**Feel free to remove any/all of the placeholder text and instructions here!** + +# Conditional cash transfers and education in Mexico + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# *Sesame Street* and school readiness + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# Police deployment and crime in Argentina + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. + + +# Early childhood development and migration in Jamaica + +## Internal validity + +1. **Selection**: +2. **Attrition**: +3. **Maturation**: +4. **Secular trends**: +5. **Seasonality**: +6. **Testing**: +7. **Regression to the mean**: +8. **Measurement error**: +9. **Time frame of study**: +10. **Hawthorne effects**: +11. **John Henry effects**: +12. **Spillovers**: +13. **Intervening events**: + +Final score: + +General summary: (i.e. is this an internally valid study?) + +## External validity + +Stuff goes here. + +## Construct validity + +Stuff goes here. diff --git a/docs/projects/week-10/data/nc_schools.dta b/docs/projects/week-10/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/projects/week-10/data/nc_schools.dta differ diff --git a/docs/projects/week-10/schools-answers.Rmd b/docs/projects/week-10/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/projects/week-10/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/projects/week-10/schools.Rmd b/docs/projects/week-10/schools.Rmd new file mode 100644 index 00000000..791bca6b --- /dev/null +++ b/docs/projects/week-10/schools.Rmd @@ -0,0 +1,41 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +# Step 3: Check for discontinuity in running variable around cutpoint + +# Step 4: Check for discontinuity in outcome across running variable + +# Step 5: Measure the size of the effect + +## Parametric estimation + +## Nonparametric estimation + +# Step 6: Compare all the effects diff --git a/docs/projects/week-10/week-10-rdd.Rproj b/docs/projects/week-10/week-10-rdd.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/week-10/week-10-rdd.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/week-11/data/Dee04.dta b/docs/projects/week-11/data/Dee04.dta new file mode 100644 index 00000000..9ba7272b Binary files /dev/null and b/docs/projects/week-11/data/Dee04.dta differ diff --git a/docs/projects/week-11/data/nc_schools.dta b/docs/projects/week-11/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/projects/week-11/data/nc_schools.dta differ diff --git a/docs/projects/week-11/education-and-voting.Rmd b/docs/projects/week-11/education-and-voting.Rmd new file mode 100644 index 00000000..01ce01f2 --- /dev/null +++ b/docs/projects/week-11/education-and-voting.Rmd @@ -0,0 +1,180 @@ +--- +title: "Does education increase civic engagement?" +date: '`r format(Sys.time(), "%B %e, %Y")`' +bibliography: references.bib +link-citations: true +--- + +Social scientists have long been interested in the causal effects of education. We've seen a ton of examples of economists looking at the causal effect of education on wages or income. Political scientists, not surprisingly, are less interested in income and more interested in the effect of education on civil behavior. For instance, does education make people vote more? + +For this example, we'll use a subset of data from @Dee:2004 (preprocessed and cleaned by @stevedata) to explore whether college education causes people to register to vote. ([See another version of this at Steve's website](http://post8000.svmiller.com/lab-scripts/instrumental-variables-lab.html#An_Application:_Are_There_Civics_Returns_to_Education)) + +- Treatment = `college`: A binary variable indicating if the person attended a junior, community, or 4-year college by 1984 +- Outcome = `register`: A binary variable indicating if the person is currently registered to vote +- Instrument = `distance`: Miles from respondent's high school to the nearest 2-year college + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(ggdag) +library(estimatr) +library(fixest) +library(modelsummary) + +voting <- read_stata("data/Dee04.dta") +``` + + +## Exploratory data analysis + +What proportion of college attendees are registered to vote? Group by `register` and `college`, summarize to get the number or rows in each group, then add a column that calculates the proportion. + +```{r} +# TODO +``` + +Visualize these proportions with `ggplot()` and `geom_col()` + +```{r} +# TODO +``` + + +## Naive model + +Run a super wrong and naive model that estimates the effect of college attendance on voter registration (`register ~ college`). + +```{r} +# TODO +``` + +For fun, make a scatterplot of this relationship: + +```{r} +# TODO +``` + +TODO: Interpret this finding. Why is this estimate wrong? + + +## Distance to college as an instrument + +We're stuck with endogeneity. There are things that cause both education and voter registration that confound the relationship, and we can't control for all of them. + +In his paper, @Dee:2004 uses distance to the nearest college as an instrument to help remove this exogeneity. He essentially creates this DAG (though without actually making a DAG): + +```{r iv-dag, fig.align="center", fig.width=6, fig.height=4.5, echo=FALSE} +distance_dag <- dagify(outcome ~ treatment + unmeasured, + treatment ~ unmeasured + instrument, + exposure = "treatment", + outcome = "outcome", + latent = "unmeasured", + coords = list(x = c(treatment = 1, outcome = 3, + unmeasured = 2, instrument = 0), + y = c(treatment = 1, outcome = 1, + unmeasured = 2, instrument = 1)), + labels = c(treatment = "College", outcome = "Registration", + unmeasured = "Other stuff", instrument = "Distance")) + +set.seed(1234) +ggdag_status(distance_dag, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + + +At first glance, this feels like it could be a good instrument: + +1. **Relevance** (Z → X *and* cor(Z, X) ≠ 0): Distance to college should be associated with college attendance. The closer a college is, the cheapter it is to attend, and the more opportunity there is to attend. +2. **Excludability** (Z → X → Y *and* Z not → Y *and* cor(Z, Y | X) = 0): Distance affects college attendance which affects voting registration. But distance should influence voting registration *only because* people go to college (and no other reason). +3. **Exogeneity** (U not → Z *and* Cor(Z, U) = 0): Colleges should exist before students exist; students and their voting patterns don't influence whether pre-existing colleges exist (i.e. there should be no arrows going into the instrument node). + +Let's check these conditions + +### Relevance + +See if there's correlation between the instrument (`distance`) and the treatment (`college`). Use the `cor()` function (and `cor.test()` if you want a p-value): + +```{r} +# TODO +``` + +Plot the relationship between the instrument and treatment: + +```{r} +# TODO +``` + +TODO: Is this relevant? + + +### Exclusion + +See if there's a relationship between the instrument (`distance`) and the outcome (`register`). + +```{r} +# TODO +``` + +To help check the "only through" condition, see if there's a relationship between `distance` and other possibly confounding variables (like `black`, `female`, `hispanic`, and so on). If it's related, that's a good sign that there's an arrow between those nodes, thus breaking the exclusion requirement. + +```{r} +# TODO +``` + +TODO: Does this meet the exclusion requirement? + + +### Exogeneity + +There's no statistical test here. Instead we have to tell a theoretical story that distance is uncorrelated with anything else in the DAG. + +TODO: Does this meet the exogeneity requirement? + + +## IV estimation + +Let's pretend that this is a good instrument, regardless of whatever we concluded above. + +### By hand, to make your life miserable + +Make a first stage model that predicts college attendance based on distance to college. Control for `black`, `hispanic`, and `female`, since they're potential confounders (and because Dee originally did that too). + +```{r} +# TODO +``` + +Plug the original dataset into the first stage model with `augment_columns()` to generate predicted values of `college` (or the exogenous part of `college`): + +```{r} +# TODO +``` + +Make a second stage model that estimates the effect of *predicted* college on voter registration, also controlling for `black`, `hispanic`, and `female`. + +What is the causal effect of attending college? + +```{r} +# TODO +``` + + +### All at once, to make your life wonderful + +Use `iv_robust()` to run a 2SLS model all at the same time: + +```{r} +# TODO +``` + +## Causal effect + +TODO: What is the final causal effect of college attendance on registering to vote? + +```{r} +# TODO: Use modelsummary() to show the results from your manual and automatic 2SLS regressions +``` + + +## References diff --git a/docs/projects/week-11/education-and-voting_answers.Rmd b/docs/projects/week-11/education-and-voting_answers.Rmd new file mode 100644 index 00000000..5a2a5460 --- /dev/null +++ b/docs/projects/week-11/education-and-voting_answers.Rmd @@ -0,0 +1,250 @@ +--- +title: "Does education increase civic engagement?" +date: '`r format(Sys.time(), "%B %e, %Y")`' +bibliography: references.bib +link-citations: true +--- + +Social scientists have long been interested in the causal effects of education. We've seen a ton of examples of economists looking at the causal effect of education on wages or income. Political scientists, not surprisingly, are less interested in income and more interested in the effect of education on civil behavior. For instance, does education make people vote more? + +For this example, we'll use a subset of data from @Dee:2004 (preprocessed and cleaned by @stevedata) to explore whether college education causes people to register to vote. ([See another version of this at Steve's website](http://post8000.svmiller.com/lab-scripts/instrumental-variables-lab.html#An_Application:_Are_There_Civics_Returns_to_Education)) + +- Treatment = `college`: A binary variable indicating if the person attended a junior, community, or 4-year college by 1984 +- Outcome = `register`: A binary variable indicating if the person is currently registered to vote +- Instrument = `distance`: Miles from respondent's high school to the nearest 2-year college + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(ggdag) +library(estimatr) +library(fixest) +library(modelsummary) + +voting <- read_stata("data/Dee04.dta") +``` + + +## Exploratory data analysis + +What proportion of college attendees are registered to vote? Group by `register` and `college`, summarize to get the number or rows in each group, then add a column that calculates the proportion. + +```{r} +group_props <- voting %>% + group_by(register, college) %>% + summarize(total = n()) %>% + group_by(college) %>% + mutate(prop = total / sum(total)) +group_props +``` + +Visualize these proportions with `ggplot()` and `geom_col()` + +```{r} +ggplot(group_props, aes(x = factor(college), y = prop, fill = factor(register))) + + geom_col() +``` + + +## Naive model + +Run a super wrong and naive model that estimates the effect of college attendance on voter registration (`register ~ college`). + +```{r} +model_naive <- lm(register ~ college, data = voting) +tidy(model_naive) +``` + +For fun, make a scatterplot of this relationship: + +```{r} +ggplot(voting, aes(x = college, y = register)) + + geom_point(alpha = 0.05, position = position_jitter(width = 0.1, height = 0.1)) + + geom_smooth(method = "lm") +``` + +TODO: Interpret this finding. Why is this estimate wrong? + +### Bonus fun! Logistic regression + +```{r} +model_logit <- glm(register ~ college, family = binomial(link = "logit"), data = voting) +tidy(model_logit) +# College attendance is associated with a 0.805 increase in the log odds of registering to vote, whatever that means + +# Odds ratio +exp(0.805) +# College attendees are 2.23 times more likely to register to vote + +# plogis((intercept + coefficient)) - plogis(intercept) +plogis((0.298 + 0.805)) - plogis(0.298) +# College attendance leads to a 17.6 percentage point increase in the probability of registering to vote + +library(marginaleffects) +model_logit |> + comparisons(by = "college") + +# "Divide by 4" trick/rule +0.805 / 4 +``` + + +## Distance to college as an instrument + +We're stuck with endogeneity. There are things that cause both education and voter registration that confound the relationship, and we can't control for all of them. + +In his paper, @Dee:2004 uses distance to the nearest college as an instrument to help remove this exogeneity. He essentially creates this DAG (though without actually making a DAG): + +```{r iv-dag, fig.align="center", fig.width=6, fig.height=4.5, echo=FALSE} +distance_dag <- dagify(outcome ~ treatment + unmeasured, + treatment ~ unmeasured + instrument, + exposure = "treatment", + outcome = "outcome", + latent = "unmeasured", + coords = list(x = c(treatment = 1, outcome = 3, + unmeasured = 2, instrument = 0), + y = c(treatment = 1, outcome = 1, + unmeasured = 2, instrument = 1)), + labels = c(treatment = "College", outcome = "Registration", + unmeasured = "Other stuff", instrument = "Distance")) + +set.seed(1234) +ggdag_status(distance_dag, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + + +At first glance, this feels like it could be a good instrument: + +1. **Relevance** (Z → X *and* cor(Z, X) ≠ 0): Distance to college should be associated with college attendance. The closer a college is, the cheapter it is to attend, and the more opportunity there is to attend. +2. **Excludability** (Z → X → Y *and* Z not → Y *and* cor(Z, Y | X) = 0): Distance affects college attendance which affects voting registration. But distance should influence voting registration *only because* people go to college (and no other reason). +3. **Exogeneity** (U not → Z *and* Cor(Z, U) = 0): Colleges should exist before students exist; students and their voting patterns don't influence whether pre-existing colleges exist (i.e. there should be no arrows going into the instrument node). + +Let's check these conditions + +### Relevance + +See if there's correlation between the instrument (`distance`) and the treatment (`college`). Use the `cor()` function (and `cor.test()` if you want a p-value): + +```{r} +model_check_relevance <- lm(college ~ distance, data = voting) +tidy(model_check_relevance) + +voting %>% + summarize(relevance = cor(distance, college)) + +cor.test(voting$distance, voting$college) +``` + +Plot the relationship between the instrument and treatment: + +```{r} +ggplot(voting, aes(x = distance, y = college)) + + geom_point(alpha = 0.01) + + geom_smooth(method = "lm") +``` + +Yep! + + +### Exclusion + +See if there's a relationship between the instrument (`distance`) and the outcome (`register`). + +```{r} +model_check_exclusion <- lm(distance ~ register, data = voting) +tidy(model_check_exclusion) + +voting %>% + summarize(relevance = cor(distance, register)) + +cor.test(voting$distance, voting$register) +``` + +To help check the "only through" condition, see if there's a relationship between `distance` and other possibly confounding variables (like `black`, `female`, `hispanic`, and so on). If it's related, that's a good sign that there's an arrow between those nodes, thus breaking the exclusion requirement. + +```{r} +voting %>% + summarize(rel_black = cor(distance, black), + rel_female = cor(distance, female), + rel_hispanic = cor(distance, hispanic)) +``` + +Nope :( + +### Exogeneity + +There's no statistical test here. Instead we have to tell a theoretical story that distance is uncorrelated with anything else in the DAG. + +In theory, living closer to a college should explain or increase the likelihood of attending college, but shouldn't in turn influence outcomes as an adult, like the propensity to vote. + +But in real life, that's not the case! Black and Hispanic Americans are more likely to live in urban areas, and there are more colleges in urban areas, and race/ethnicity are correlated with voting patterns. + + +## IV estimation + +Let's pretend that this is a good instrument, regardless of whatever we concluded above. + +### By hand, to make your life miserable + +Make a first stage model that predicts college attendance based on distance to college. Control for `black`, `hispanic`, and `female`, since they're potential confounders (and because Dee originally did that too). + +```{r} +first_stage <- lm(college ~ distance + black + hispanic + female, + data = voting) +``` + +Plug the original dataset into the first stage model with `augment_columns()` to generate predicted values of `college` (or the exogenous part of `college`): + +```{r} +voting_with_prediction <- augment_columns(first_stage, voting) %>% + rename(college_hat = .fitted) +``` + +Make a second stage model that estimates the effect of *predicted* college on voter registration, also controlling for `black`, `hispanic`, and `female`. + +What is the causal effect of attending college? + +```{r} +second_stage <- lm(register ~ college_hat + black + hispanic + female, + data = voting_with_prediction) +tidy(second_stage) +``` + + +### All at once, to make your life wonderful + +Use `iv_robust()` to run a 2SLS model all at the same time: + +```{r} +model_all_at_once <- iv_robust(register ~ college + black + hispanic + female | + distance + black + hispanic + female, + data = voting, diagnostics = TRUE) +tidy(model_all_at_once) +summary(model_all_at_once) +``` + +Use `feols()` to run a 2SLS model all the same time: + +```{r} +# y ~ exogenous | fe | endogenous ~ instrument +model_feols <- feols(register ~ black + hispanic + female | college ~ distance, + data = voting) +tidy(model_feols) +# model_feols$iv_first_stage +# summary(model_feols, stage = 1) +``` + +## Causal effect + +TODO: What is the final causal effect of college attendance on registering to vote? + +```{r} +modelsummary(list(second_stage, model_all_at_once, model_feols)) +``` + +Assuming this is a good instrument, going to college causes a 22 percentage point increase in the probability of registering to vote. + +## References diff --git a/docs/projects/week-11/references.bib b/docs/projects/week-11/references.bib new file mode 100644 index 00000000..5c584e18 --- /dev/null +++ b/docs/projects/week-11/references.bib @@ -0,0 +1,29 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Andrew Heiss at 2022-03-31 16:01:33 -0400 + + +%% Saved with string encoding Unicode (UTF-8) + +@Manual{stevedata, + title = {stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, +Social, and Political Topics}, + author = {Steve Miller}, + year = {2021}, + note = {R package version 0.6.0}, + url = {https://CRAN.R-project.org/package=stevedata}, + } + +@article{Dee:2004, + author = {Thomas S. Dee}, + date-added = {2022-03-31 15:59:23 -0400}, + date-modified = {2022-03-31 16:00:25 -0400}, + doi = {10.1016/j.jpubeco.2003.11.002}, + journal = {Journal of Public Economics}, + month = {8}, + number = {9--10}, + pages = {1697--1720}, + title = {Are There Civics Returns to Education?}, + volume = {88}, + year = {2004}} diff --git a/docs/projects/week-11/schools-answers.Rmd b/docs/projects/week-11/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/projects/week-11/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/projects/week-11/week-11.Rproj b/docs/projects/week-11/week-11.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/week-11/week-11.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/week-12/data/nc_schools.dta b/docs/projects/week-12/data/nc_schools.dta new file mode 100755 index 00000000..6af4790e Binary files /dev/null and b/docs/projects/week-12/data/nc_schools.dta differ diff --git a/docs/projects/week-12/iv_answers.R b/docs/projects/week-12/iv_answers.R new file mode 100644 index 00000000..fc206e6b --- /dev/null +++ b/docs/projects/week-12/iv_answers.R @@ -0,0 +1,79 @@ +library(tidyverse) +library(stevedata) +library(estimatr) +library(broom) +library(modelsummary) + + +data(Dee04) + +blah <- Dee04 %>% + group_by(register, college) %>% + summarize(total = n()) + +blah %>% + group_by(college) %>% + mutate(prop = total / sum(total)) + +ggplot(Dee04, aes(x = register)) + +naive_model <- lm(register ~ college, data = Dee04) +tidy(naive_model) + +# 1. Relevance +model_check_relevance <- lm(college ~ distance, data = Dee04) + +Dee04 %>% summarize(relevance = cor(distance, college)) + +cor.test(Dee04$distance, Dee04$college) + +ggplot(Dee04, aes(x = distance, y = college)) + + geom_point(alpha = 0.01) + + geom_smooth(method = "lm") + + +# 2. Exclusion +model_check_exclusion <- lm(distance ~ register, data = Dee04) +tidy(model_check_exclusion) + +Dee04 %>% summarize(relevance = cor(distance, register)) + +cor.test(Dee04$distance, Dee04$register) + +ggplot(Dee04, aes(x = register, y = college)) + + geom_point(alpha = 0.2, position = position_jitter()) + + geom_smooth(method = "lm") + +# 3. Exogeneity +# Tell a story that distance to college isn’t correlated with anything else in the model + +# IN THEORY, living closer to a college should explain or increase the likelihood of attending college, but shouldn't in turn influence outcomes as an adult, like the propensity to vote. + +# But in real life, that's not the case! Black and Hispanic Americans are more likely to live in urban areas, and there are more colleges in urban areas, and race/ethnicity are correlated with voting patterns + +# 2SLS manually +first_stage <- lm(college ~ distance, data = Dee04) + +predicted_college <- augment(first_stage, Dee04) %>% + rename(college_hat = .fitted) + +second_stage <- lm(register ~ college_hat, data = predicted_college) +tidy(second_stage) + +# 2SLS manually with controls +first_stage <- lm(college ~ distance + black + hispanic + female, data = Dee04) + +predicted_college <- augment(first_stage, Dee04) %>% + rename(college_hat = .fitted) + +second_stage <- lm(register ~ college_hat + black + hispanic + female, data = predicted_college) +tidy(second_stage) + +# 2SLS automatically +model_2sls <- iv_robust(register ~ college + black + hispanic + female | + distance + black + hispanic + female, + data = Dee04) +tidy(model_2sls) + + +modelsummary(list(second_stage, model_2sls)) diff --git a/docs/projects/week-12/schools-answers.Rmd b/docs/projects/week-12/schools-answers.Rmd new file mode 100644 index 00000000..64b31fed --- /dev/null +++ b/docs/projects/week-12/schools-answers.Rmd @@ -0,0 +1,188 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +```{r} +ggplot(schools, aes(x = avgrow05, y = expgrow, color = avgrow05 > 0)) + + geom_point(size = 0.5, alpha = 0.5, + position = position_jitter(width = 0, height = 0.25, seed = 1234)) + + geom_vline(xintercept = 0) +``` + +```{r} +schools %>% + group_by(expgrow, avgrow05 > 0) %>% + summarize(count = n()) +``` + +```{r} +schools_clean <- schools %>% + filter(avgrow05 <= 0 & expgrow == 0 | + avgrow05 > 0 & expgrow == 1) +``` + + +# Step 3: Check for discontinuity in running variable around cutpoint + +```{r} +ggplot(schools_clean, aes(x = avgrow05, fill = factor(expgrow))) + + geom_histogram(binwidth = 0.05, color = "white", boundary = 0) + + geom_vline(xintercept = 0) + + labs(x = "Growth in 2005", y = "Count", fill = "Received bonus") + +``` + +```{r} +test_density <- rddensity(schools_clean$avgrow05, c = 0) +summary(test_density) +``` + +```{r} +plot_density_test <- rdplotdensity(rdd = test_density, + X = schools_clean$avgrow05, + type = "both") # This adds both points and lines +``` + +# Step 4: Check for discontinuity in outcome across running variable + +```{r} +ggplot(schools_clean, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + # Add a line based on a linear model for the people scoring 70 or less + geom_smooth(data = filter(schools_clean, avgrow05 <= 0), method = "lm") + + # Add a line based on a linear model for the people scoring more than 70 + geom_smooth(data = filter(schools_clean, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(xlim = c(-0.3, 0.3), ylim = c(-0.3, 0.3)) +``` + +# Step 5: Measure the size of the effect + +## Parametric estimation + +```{r} +summary(rdbwselect(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0)) +``` + +```{r} +schools_bw <- schools_clean %>% + filter(avgrow05 > -0.061 & avgrow05 < 0.061) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "lm") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "lm") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) + +ggplot(schools_bw, aes(x = avgrow05, y = avgrow06, color = factor(expgrow))) + + geom_point(size = 0.5, alpha = 0.5) + + geom_smooth(data = filter(schools_bw, avgrow05 <= 0), method = "loess") + + geom_smooth(data = filter(schools_bw, avgrow05 > 0), method = "loess") + + geom_vline(xintercept = 0) + + labs(x = "2005 growth", y = "2006 growth", color = "Received bonus") + + coord_cartesian(ylim = c(-0.25, 0.25)) +``` + +```{r} +model_simple <- lm(avgrow06 ~ avgrow05 + expgrow, + data = schools_bw) +tidy(model_simple, conf.int = TRUE) +``` + +## Nonparametric estimation + +```{r} +model_rdrobust <- rdrobust(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) + +summary(model_rdrobust) +``` + +```{r} +rdplot(y = schools_clean$avgrow06, x = schools_clean$avgrow05, c = 0) +``` + + +# Step 6: Compare all the effects + +The **broom** package doesn't support `rdrobust` objects (yet), but it's possible to add `tidy()` and `glance()` functions that work with them, which means you can (1) use things like `tidy()` and (2) use things like `modelsummary()`. [Get the code here](https://github.com/tidymodels/broom/issues/777#issuecomment-643251123). + +```{r} +#' Tidy a `rdrobust` regression discontinuity design object +#' +#' @param x A `rdrobust` object +#' @param ... extra arguments (not used) +#' @examples +#' \dontrun{ +#' x <- runif(1000,-1,1) +#' y <- 3 * x + 2 * (x>=0) + rnorm(1000) +#' mod <- rdrobust(y,x) +#' +#' tidy(mod) +#' +#' glance(mod) +#' } +#' @export +tidy.rdrobust <- function(object, ...){ + ret <- tibble(term = row.names(object$coef), + estimate = object$coef[, 1], + std.error = object$se[, 1], + statistic = object$z[, 1], + p.value = object$pv[, 1], + conf.low = object$ci[,1], + conf.high = object$ci[, 2]) + ret +} + +#' Glance a `rdrobust` regression discontinuity design object +#' +#' @inheritParams tidy.rdrobust +#' @export +glance.rdrobust <- function(object, ...){ + ret <- tibble(nobs.left = object$N[1], + nobs.right = object$N[2], + nobs.effective.left = object$N_h[1], + nobs.effective.right = object$N_h[2], + cutoff = object$c, + order.regression = object$q, + order.bias = object$q, + kernel = object$kernel, + bwselect = object$bwselect) + ret +} + +``` + +```{r} +tidy(model_rdrobust) +modelsummary(list(model_simple, model_rdrobust)) +``` + diff --git a/docs/projects/week-12/schools.Rmd b/docs/projects/week-12/schools.Rmd new file mode 100644 index 00000000..791bca6b --- /dev/null +++ b/docs/projects/week-12/schools.Rmd @@ -0,0 +1,41 @@ +--- +title: "Teacher salary bonuses" +date: '`r format(Sys.time(), "%B %e, %Y")`' +--- + +Teachers in North Carolina Public schools earn a bonus of \$750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. (This is based on [actual econometric research](https://my.vanderbilt.edu/performanceincentives/files/2012/10/200803_Vigdor_TeacherBonusesNC.pdf).) + +For this example, we'll use regression discontinuity techniques to see if failing to receive a bonus motivates teachers to improve their performance in the subsequent school year. + +- Running variable = `avgrow05` +- Treatment = `expgrow` +- Outcome = `avgrow06` + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(haven) +library(broom) +library(rdrobust) +library(rddensity) +library(modelsummary) + +schools <- read_stata("data/nc_schools.dta") +``` + +# Step 1: Rule based? + +Yep. + +# Step 2: Fuzzy or sharp? + +# Step 3: Check for discontinuity in running variable around cutpoint + +# Step 4: Check for discontinuity in outcome across running variable + +# Step 5: Measure the size of the effect + +## Parametric estimation + +## Nonparametric estimation + +# Step 6: Compare all the effects diff --git a/docs/projects/week-12/week-12.Rproj b/docs/projects/week-12/week-12.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/week-12/week-12.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/projects/week-8/chicago-author-date.csl b/docs/projects/week-8/chicago-author-date.csl new file mode 100644 index 00000000..32d0cab0 --- /dev/null +++ b/docs/projects/week-8/chicago-author-date.csl @@ -0,0 +1,648 @@ + + diff --git a/docs/projects/week-8/cholera.Rmd b/docs/projects/week-8/cholera.Rmd new file mode 100644 index 00000000..ed5d7df7 --- /dev/null +++ b/docs/projects/week-8/cholera.Rmd @@ -0,0 +1,51 @@ +--- +title: "Cholera" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# This way lets you specify tables row-wise (hence t*r*ibble) and is far easier to read +cholera <- tribble( + ~deaths, ~year, ~location, + 1349, 1849, "Southwark & Vauxhall", + 847, 1849, "Lambeth", + 1466, 1854, "Southwark & Vauxhall", + 193, 1854, "Lambeth" +) %>% + mutate(year = factor(year)) %>% + mutate(location = fct_relevel(location, "Southwark & Vauxhall")) + +model <- lm(deaths ~ year + location + year * location, data = cholera) +``` + +```{r} +tidy(model) +``` + +```{r} +results <- tidy(model) + +before_treatment <- results %>% filter(term == "(Intercept)") %>% pull(estimate) + + results %>% filter(term == "locationLambeth") %>% pull(estimate) + +year_effect <- results %>% filter(term == "year1854") %>% pull(estimate) + +after_treatment <- before_treatment + year_effect + +dd_effect <- results %>% filter(term == "year1854:locationLambeth") %>% pull(estimate) + +ggplot(cholera, aes(x = year, + y = deaths, + color = location)) + + geom_line(aes(group = location)) + + annotate(geom = "segment", x = "1849", xend = "1854", + y = before_treatment, yend = before_treatment + year_effect, + linetype = "dashed", color = "grey50") + + annotate(geom = "segment", x = "1854", xend = "1854", + y = after_treatment, yend = before_treatment + year_effect + dd_effect, + linetype = "dotted", color = "blue") +``` + diff --git a/docs/projects/week-8/data/catholic.dta b/docs/projects/week-8/data/catholic.dta new file mode 100644 index 00000000..67f92ba6 Binary files /dev/null and b/docs/projects/week-8/data/catholic.dta differ diff --git a/docs/projects/week-8/data/deaths.csv b/docs/projects/week-8/data/deaths.csv new file mode 100644 index 00000000..34f24a30 --- /dev/null +++ b/docs/projects/week-8/data/deaths.csv @@ -0,0 +1,24787 @@ +year,state,legal1820,dtype,agegr,count,pop,age,legal,beertaxa,beerpercap,winepercap,spiritpercap,totpercap,mrate +1970,1,0,all,15-17 yrs,224,213574,15.9783353805542,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,104.88168334960938 +1971,1,0,all,15-17 yrs,241,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,109.53250885009766 +1972,1,0,all,15-17 yrs,270,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,120.06563568115234 +1973,1,0,all,15-17 yrs,258,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,113.52835845947266 +1974,1,0,all,15-17 yrs,224,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,97.80591583251953 +1975,1,0.2939954102039337,all,15-17 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+1970,1,0,other external,18-20 yrs,50,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,26.347684860229492 +1970,1,0,internal,18-20 yrs,85,189770,18.969989776611328,0,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,44.79106140136719 +1970,1,0,all,21-24 yrs,369,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,172.9568634033203 +1970,1,0,MVA,21-24 yrs,139,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,65.15177154541016 +1970,1,0,suicide,21-24 yrs,17,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,7.968202114105225 +1970,1,0,homicide,21-24 yrs,55,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,25.779478073120117 +1970,1,0,other external,21-24 yrs,58,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,27.185630798339844 +1970,1,0,internal,21-24 yrs,100,213348,22.400096893310547,1,1.373711347579956,0.6000000238418579,0.09000000357627869,0.699999988079071,1.3799999952316284,46.87177658081055 +1971,1,0,MVA,15-17 yrs,92,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,41.81324005126953 +1971,1,0,suicide,15-17 yrs,5,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,2.272458791732788 +1971,1,0,homicide,15-17 yrs,15,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,6.817376136779785 +1971,1,0,other external,15-17 yrs,61,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,27.723997116088867 +1971,1,0,internal,15-17 yrs,68,220026,15.98584270477295,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,30.905439376831055 +1971,1,0,all,18-20 yrs,316,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,161.5352020263672 +1971,1,0,MVA,18-20 yrs,122,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,62.3648567199707 +1971,1,0,suicide,18-20 yrs,14,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,7.156622886657715 +1971,1,0,homicide,18-20 yrs,37,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,18.913930892944336 +1971,1,0,other external,18-20 yrs,57,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,29.137678146362305 +1971,1,0,internal,18-20 yrs,86,195623,18.97218132019043,0,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,43.96211242675781 +1971,1,0,all,21-24 yrs,422,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,178.49514770507812 +1971,1,0,MVA,21-24 yrs,139,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,58.79342269897461 +1971,1,0,suicide,21-24 yrs,22,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,9.305434226989746 +1971,1,0,homicide,21-24 yrs,73,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,30.877120971679688 +1971,1,0,other external,21-24 yrs,64,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,27.07035255432129 +1971,1,0,internal,21-24 yrs,124,236421,22.508689880371094,1,1.316049337387085,0.6600000262260437,0.09000000357627869,0.7599999904632568,1.5199999809265137,52.44881057739258 +1972,1,0,MVA,15-17 yrs,106,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,47.136878967285156 +1972,1,0,suicide,15-17 yrs,6,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,2.6681251525878906 +1972,1,0,homicide,15-17 yrs,18,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,8.004375457763672 +1972,1,0,other external,15-17 yrs,64,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,28.460002899169922 +1972,1,0,internal,15-17 yrs,76,224877,15.985733985900879,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,33.7962532043457 +1972,1,0,all,18-20 yrs,320,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,159.21348571777344 +1972,1,0,MVA,18-20 yrs,148,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,73.63623809814453 +1972,1,0,suicide,18-20 yrs,20,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,9.95084285736084 +1972,1,0,homicide,18-20 yrs,28,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,13.931180000305176 +1972,1,0,other external,18-20 yrs,52,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,25.872190475463867 +1972,1,0,internal,18-20 yrs,72,200988,18.974700927734375,0,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,35.82303237915039 +1972,1,0,all,21-24 yrs,424,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,177.87249755859375 +1972,1,0,MVA,21-24 yrs,156,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,65.44365692138672 +1972,1,0,suicide,21-24 yrs,18,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,7.5511908531188965 +1972,1,0,homicide,21-24 yrs,84,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,35.2388916015625 +1972,1,0,other external,21-24 yrs,60,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,25.170635223388672 +1972,1,0,internal,21-24 yrs,106,238373,22.485017776489258,1,1.275119662284851,0.7400000095367432,0.09000000357627869,0.7799999713897705,1.6100000143051147,44.46812438964844 +1973,1,0,MVA,15-17 yrs,108,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,47.52349853515625 +1973,1,0,suicide,15-17 yrs,10,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,4.400323867797852 +1973,1,0,homicide,15-17 yrs,15,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,6.600485801696777 +1973,1,0,other external,15-17 yrs,72,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,31.682331085205078 +1973,1,0,internal,15-17 yrs,53,227256,15.992462158203125,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,23.32171630859375 +1973,1,0,all,18-20 yrs,291,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,140.885986328125 +1973,1,0,MVA,18-20 yrs,131,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,63.42290115356445 +1973,1,0,suicide,18-20 yrs,15,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,7.262164115905762 +1973,1,0,homicide,18-20 yrs,25,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,12.103607177734375 +1973,1,0,other external,18-20 yrs,58,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,28.080368041992188 +1973,1,0,internal,18-20 yrs,62,206550,18.970230102539062,0,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,30.016944885253906 +1973,1,0,all,21-24 yrs,365,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,149.36366271972656 +1973,1,0,MVA,21-24 yrs,142,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,58.108604431152344 +1973,1,0,suicide,21-24 yrs,24,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,9.821172714233398 +1973,1,0,homicide,21-24 yrs,51,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,20.869991302490234 +1973,1,0,other external,21-24 yrs,70,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,28.64508819580078 +1973,1,0,internal,21-24 yrs,78,244370,22.482215881347656,1,1.2004504203796387,0.7900000214576721,0.10000000149011612,0.7900000214576721,1.690000057220459,31.918811798095703 +1974,1,0,MVA,15-17 yrs,78,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,34.05741882324219 +1974,1,0,suicide,15-17 yrs,3,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,1.3099006414413452 +1974,1,0,homicide,15-17 yrs,19,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,8.296037673950195 +1974,1,0,other external,15-17 yrs,61,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,26.634647369384766 +1974,1,0,internal,15-17 yrs,63,229025,16.000776290893555,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,27.50791358947754 +1974,1,0,all,18-20 yrs,306,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,143.0983123779297 +1974,1,0,MVA,18-20 yrs,129,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,60.32575988769531 +1974,1,0,suicide,18-20 yrs,12,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,5.611698627471924 +1974,1,0,homicide,18-20 yrs,30,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,14.02924633026123 +1974,1,0,other external,18-20 yrs,60,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.05849266052246 +1974,1,0,internal,18-20 yrs,75,213839,18.980138778686523,0,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,35.073116302490234 +1974,1,0,all,21-24 yrs,419,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,168.5350341796875 +1974,1,0,MVA,21-24 yrs,125,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,50.27894592285156 +1974,1,0,suicide,21-24 yrs,27,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,10.860252380371094 +1974,1,0,homicide,21-24 yrs,72,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.960674285888672 +1974,1,0,other external,21-24 yrs,70,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,28.15620994567871 +1974,1,0,internal,21-24 yrs,125,248613,22.47471809387207,1,1.081135869026184,0.8299999833106995,0.1599999964237213,0.8100000023841858,1.7999999523162842,50.27894592285156 +1975,1,0.2939954102039337,MVA,15-17 yrs,76,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,33.081016540527344 +1975,1,0.2939954102039337,suicide,15-17 yrs,9,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,3.9174890518188477 +1975,1,0.2939954102039337,homicide,15-17 yrs,17,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,7.3997015953063965 +1975,1,0.2939954102039337,other external,15-17 yrs,38,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,16.540508270263672 +1975,1,0.2939954102039337,internal,15-17 yrs,67,229739,15.997954368591309,0,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,29.163528442382812 +1975,1,0.2939954102039337,all,18-20 yrs,326,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,147.94107055664062 +1975,1,0.2939954102039337,MVA,18-20 yrs,110,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,49.91876983642578 +1975,1,0.2939954102039337,suicide,18-20 yrs,23,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,10.43756103515625 +1975,1,0.2939954102039337,homicide,18-20 yrs,43,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,19.513700485229492 +1975,1,0.2939954102039337,other external,18-20 yrs,65,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,29.497453689575195 +1975,1,0.2939954102039337,internal,18-20 yrs,85,220358,18.981334686279297,0.2939954102039337,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,38.57359313964844 +1975,1,0.2939954102039337,all,21-24 yrs,372,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,145.36758422851562 +1975,1,0.2939954102039337,MVA,21-24 yrs,109,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,42.59426498413086 +1975,1,0.2939954102039337,suicide,21-24 yrs,24,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,9.37855339050293 +1975,1,0.2939954102039337,homicide,21-24 yrs,65,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,25.400249481201172 +1975,1,0.2939954102039337,other external,21-24 yrs,78,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,30.48029899597168 +1975,1,0.2939954102039337,internal,21-24 yrs,96,255903,22.462366104125977,1,0.9907063245773315,0.8799999952316284,0.1599999964237213,0.8500000238418579,1.8799999952316284,37.51421356201172 +1976,1,0.665070116519928,MVA,15-17 yrs,101,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,43.78055953979492 +1976,1,0.665070116519928,suicide,15-17 yrs,7,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,3.0342962741851807 +1976,1,0.665070116519928,homicide,15-17 yrs,9,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,3.901237964630127 +1976,1,0.665070116519928,other external,15-17 yrs,51,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,22.10701560974121 +1976,1,0.665070116519928,internal,15-17 yrs,63,230696,15.998027801513672,0,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,27.308666229248047 +1976,1,0.665070116519928,all,18-20 yrs,299,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,132.6024627685547 +1976,1,0.665070116519928,MVA,18-20 yrs,112,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,49.67049026489258 +1976,1,0.665070116519928,suicide,18-20 yrs,19,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,8.426243782043457 +1976,1,0.665070116519928,homicide,18-20 yrs,33,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,14.635054588317871 +1976,1,0.665070116519928,other external,18-20 yrs,69,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,30.600568771362305 +1976,1,0.665070116519928,internal,18-20 yrs,66,225486,18.989099502563477,0.665070116519928,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,29.270109176635742 +1976,1,0.665070116519928,all,21-24 yrs,372,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,140.30958557128906 +1976,1,0.665070116519928,MVA,21-24 yrs,121,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,45.63833236694336 +1976,1,0.665070116519928,suicide,21-24 yrs,31,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,11.692465782165527 +1976,1,0.665070116519928,homicide,21-24 yrs,54,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,20.367521286010742 +1976,1,0.665070116519928,other external,21-24 yrs,73,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,27.533870697021484 +1976,1,0.665070116519928,internal,21-24 yrs,93,265128,22.454025268554688,1,0.9367310404777527,0.8899999856948853,0.15000000596046448,0.8600000143051147,1.8899999856948853,35.077396392822266 +1977,1,0.6684675216674805,MVA,15-17 yrs,99,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,43.02738952636719 +1977,1,0.6684675216674805,suicide,15-17 yrs,8,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,3.4769608974456787 +1977,1,0.6684675216674805,homicide,15-17 yrs,18,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,7.823161602020264 +1977,1,0.6684675216674805,other external,15-17 yrs,47,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.42714500427246 +1977,1,0.6684675216674805,internal,15-17 yrs,47,230086,16.001556396484375,0,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.42714500427246 +1977,1,0.6684675216674805,all,18-20 yrs,332,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,145.8270263671875 +1977,1,0.6684675216674805,MVA,18-20 yrs,148,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,65.0072250366211 +1977,1,0.6684675216674805,suicide,18-20 yrs,29,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,12.737902641296387 +1977,1,0.6684675216674805,homicide,18-20 yrs,37,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,16.251806259155273 +1977,1,0.6684675216674805,other external,18-20 yrs,68,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,29.86818504333496 +1977,1,0.6684675216674805,internal,18-20 yrs,50,227667,18.998506546020508,0.6684675216674805,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,21.96190071105957 +1977,1,0.6684675216674805,all,21-24 yrs,403,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,148.21461486816406 +1977,1,0.6684675216674805,MVA,21-24 yrs,146,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,53.69561767578125 +1977,1,0.6684675216674805,suicide,21-24 yrs,27,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,9.930011749267578 +1977,1,0.6684675216674805,homicide,21-24 yrs,55,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,20.227802276611328 +1977,1,0.6684675216674805,other external,21-24 yrs,76,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,27.95114517211914 +1977,1,0.6684675216674805,internal,21-24 yrs,99,271903,22.450624465942383,1,0.8795379400253296,0.9900000095367432,0.12999999523162842,0.8399999737739563,1.9600000381469727,36.41004180908203 +1978,1,0.667184591293335,MVA,15-17 yrs,118,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,51.411865234375 +1978,1,0.667184591293335,suicide,15-17 yrs,10,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,4.356937885284424 +1978,1,0.667184591293335,homicide,15-17 yrs,13,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,5.6640191078186035 +1978,1,0.667184591293335,other external,15-17 yrs,46,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,20.041913986206055 +1978,1,0.667184591293335,internal,15-17 yrs,47,229519,16.003128051757812,0,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,20.47760772705078 +1978,1,0.667184591293335,all,18-20 yrs,317,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,138.7478485107422 +1978,1,0.667184591293335,MVA,18-20 yrs,159,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,69.5927734375 +1978,1,0.667184591293335,suicide,18-20 yrs,20,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,8.75380802154541 +1978,1,0.667184591293335,homicide,18-20 yrs,31,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,13.568402290344238 +1978,1,0.667184591293335,other external,18-20 yrs,49,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,21.446828842163086 +1978,1,0.667184591293335,internal,18-20 yrs,58,228472,18.995040893554688,0.667184591293335,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,25.386043548583984 +1978,1,0.667184591293335,all,21-24 yrs,436,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,155.83059692382812 +1978,1,0.667184591293335,MVA,21-24 yrs,157,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,56.113311767578125 +1978,1,0.667184591293335,suicide,21-24 yrs,34,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,12.151927947998047 +1978,1,0.667184591293335,homicide,21-24 yrs,68,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,24.303855895996094 +1978,1,0.667184591293335,other external,21-24 yrs,82,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,29.30759048461914 +1978,1,0.667184591293335,internal,21-24 yrs,95,279791,22.455286026000977,1,0.8174846768379211,0.9800000190734863,0.11999999731779099,0.8799999952316284,1.9700000286102295,33.953914642333984 +1979,1,0.6680923700332642,MVA,15-17 yrs,77,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,33.89979934692383 +1979,1,0.6680923700332642,suicide,15-17 yrs,10,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,4.402571201324463 +1979,1,0.6680923700332642,homicide,15-17 yrs,10,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,4.402571201324463 +1979,1,0.6680923700332642,other external,15-17 yrs,38,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,16.72977066040039 +1979,1,0.6680923700332642,internal,15-17 yrs,41,227140,16.00298500061035,0,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,18.050540924072266 +1979,1,0.6680923700332642,all,18-20 yrs,309,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,135.4116973876953 +1979,1,0.6680923700332642,MVA,18-20 yrs,136,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,59.59867477416992 +1979,1,0.6680923700332642,suicide,18-20 yrs,22,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,9.640961647033691 +1979,1,0.6680923700332642,homicide,18-20 yrs,35,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,15.33789348602295 +1979,1,0.6680923700332642,other external,18-20 yrs,66,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,28.92288589477539 +1979,1,0.6680923700332642,internal,18-20 yrs,50,228193,18.99471092224121,0.6680923700332642,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,21.911277770996094 +1979,1,0.6680923700332642,all,21-24 yrs,425,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,150.15650939941406 +1979,1,0.6680923700332642,MVA,21-24 yrs,152,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,53.70303726196289 +1979,1,0.6680923700332642,suicide,21-24 yrs,36,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,12.71914005279541 +1979,1,0.6680923700332642,homicide,21-24 yrs,74,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,26.144899368286133 +1979,1,0.6680923700332642,other external,21-24 yrs,75,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,26.49820899963379 +1979,1,0.6680923700332642,internal,21-24 yrs,88,283038,22.465484619140625,1,0.7341597676277161,0.9800000190734863,0.11999999731779099,0.8399999737739563,1.940000057220459,31.091232299804688 +1980,1,0.6722586154937744,MVA,15-17 yrs,77,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,34.636940002441406 +1980,1,0.6722586154937744,suicide,15-17 yrs,10,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,4.49830436706543 +1980,1,0.6722586154937744,homicide,15-17 yrs,8,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,3.5986433029174805 +1980,1,0.6722586154937744,other external,15-17 yrs,54,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,24.290842056274414 +1980,1,0.6722586154937744,internal,15-17 yrs,47,222306,16.01129913330078,0,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,21.14202880859375 +1980,1,0.6722586154937744,all,18-20 yrs,276,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,120.10757446289062 +1980,1,0.6722586154937744,MVA,18-20 yrs,97,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,42.21171951293945 +1980,1,0.6722586154937744,suicide,18-20 yrs,21,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,9.138619422912598 +1980,1,0.6722586154937744,homicide,18-20 yrs,34,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,14.795860290527344 +1980,1,0.6722586154937744,other external,18-20 yrs,57,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,24.804824829101562 +1980,1,0.6722586154937744,internal,18-20 yrs,67,229794,19.00246238708496,0.6722586154937744,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,29.15654945373535 +1980,1,0.6722586154937744,all,21-24 yrs,446,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,155.5828399658203 +1980,1,0.6722586154937744,MVA,21-24 yrs,148,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,51.628387451171875 +1980,1,0.6722586154937744,suicide,21-24 yrs,44,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,15.348979949951172 +1980,1,0.6722586154937744,homicide,21-24 yrs,79,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,27.558395385742188 +1980,1,0.6722586154937744,other external,21-24 yrs,63,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,21.976947784423828 +1980,1,0.6722586154937744,internal,21-24 yrs,112,286664,22.47524642944336,1,0.6468446254730225,0.9599999785423279,0.1599999964237213,0.7400000095367432,1.8600000143051147,39.07012939453125 +1981,1,0.6792081594467163,MVA,15-17 yrs,76,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,35.43585968017578 +1981,1,0.6792081594467163,suicide,15-17 yrs,12,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,5.5951361656188965 +1981,1,0.6792081594467163,homicide,15-17 yrs,14,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,6.527658462524414 +1981,1,0.6792081594467163,other external,15-17 yrs,34,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,15.852885246276855 +1981,1,0.6792081594467163,internal,15-17 yrs,34,214472,16.029743194580078,0,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,15.852885246276855 +1981,1,0.6792081594467163,all,18-20 yrs,242,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,105.87334442138672 +1981,1,0.6792081594467163,MVA,18-20 yrs,108,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,47.24925994873047 +1981,1,0.6792081594467163,suicide,18-20 yrs,24,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,10.499835968017578 +1981,1,0.6792081594467163,homicide,18-20 yrs,30,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,13.124794960021973 +1981,1,0.6792081594467163,other external,18-20 yrs,46,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,20.124685287475586 +1981,1,0.6792081594467163,internal,18-20 yrs,34,228575,19.01866340637207,0.6792081594467163,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,14.874767303466797 +1981,1,0.6792081594467163,all,21-24 yrs,374,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,128.70632934570312 +1981,1,0.6792081594467163,MVA,21-24 yrs,134,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,46.11403274536133 +1981,1,0.6792081594467163,suicide,21-24 yrs,30,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,10.324037551879883 +1981,1,0.6792081594467163,homicide,21-24 yrs,60,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,20.648075103759766 +1981,1,0.6792081594467163,other external,21-24 yrs,68,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,23.401151657104492 +1981,1,0.6792081594467163,internal,21-24 yrs,82,290584,22.48599624633789,1,0.5863586068153381,1,0.1899999976158142,0.7300000190734863,1.9199999570846558,28.21903419494629 +1982,1,0.6759088635444641,MVA,15-17 yrs,58,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,28.4384822845459 +1982,1,0.6759088635444641,suicide,15-17 yrs,12,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,5.883823871612549 +1982,1,0.6759088635444641,homicide,15-17 yrs,6,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,2.9419119358062744 +1982,1,0.6759088635444641,other external,15-17 yrs,38,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,18.632108688354492 +1982,1,0.6759088635444641,internal,15-17 yrs,28,203949,16.035680770874023,0,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,13.728922843933105 +1982,1,0.6759088635444641,all,18-20 yrs,266,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,118.30740356445312 +1982,1,0.6759088635444641,MVA,18-20 yrs,108,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,48.034584045410156 +1982,1,0.6759088635444641,suicide,18-20 yrs,12,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,5.337176322937012 +1982,1,0.6759088635444641,homicide,18-20 yrs,48,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,21.348705291748047 +1982,1,0.6759088635444641,other external,18-20 yrs,32,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,14.23246955871582 +1982,1,0.6759088635444641,internal,18-20 yrs,66,224838,19.015207290649414,0.6759088635444641,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,29.354469299316406 +1982,1,0.6759088635444641,all,21-24 yrs,418,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,143.25173950195312 +1982,1,0.6759088635444641,MVA,21-24 yrs,138,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,47.29364013671875 +1982,1,0.6759088635444641,suicide,21-24 yrs,52,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,17.820791244506836 +1982,1,0.6759088635444641,homicide,21-24 yrs,58,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,19.877037048339844 +1982,1,0.6759088635444641,other external,21-24 yrs,66,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,22.618696212768555 +1982,1,0.6759088635444641,internal,21-24 yrs,104,291794,22.478679656982422,1,0.5523316264152527,1,0.18000000715255737,0.7200000286102295,1.8899999856948853,35.64158248901367 +1983,1,0.6796314120292664,MVA,15-17 yrs,70,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,35.96974563598633 +1983,1,0.6796314120292664,suicide,15-17 yrs,4,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,2.0554139614105225 +1983,1,0.6796314120292664,homicide,15-17 yrs,10,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,5.138535022735596 +1983,1,0.6796314120292664,other external,15-17 yrs,29,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,14.901751518249512 +1983,1,0.6796314120292664,internal,15-17 yrs,27,194608,16.0230712890625,0,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,13.874044418334961 +1983,1,0.6796314120292664,all,18-20 yrs,283,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,128.1528778076172 +1983,1,0.6796314120292664,MVA,18-20 yrs,119,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,53.88760757446289 +1983,1,0.6796314120292664,suicide,18-20 yrs,25,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,11.32092571258545 +1983,1,0.6796314120292664,homicide,18-20 yrs,27,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,12.22659969329834 +1983,1,0.6796314120292664,other external,18-20 yrs,56,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,25.35887336730957 +1983,1,0.6796314120292664,internal,18-20 yrs,56,220830,19.01704978942871,0.6796314120292664,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,25.35887336730957 +1983,1,0.6796314120292664,all,21-24 yrs,347,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,118.88773345947266 +1983,1,0.6796314120292664,MVA,21-24 yrs,131,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,44.882686614990234 +1983,1,0.6796314120292664,suicide,21-24 yrs,35,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,11.991558074951172 +1983,1,0.6796314120292664,homicide,21-24 yrs,43,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,14.7324857711792 +1983,1,0.6796314120292664,other external,21-24 yrs,55,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,18.843875885009766 +1983,1,0.6796314120292664,internal,21-24 yrs,83,291872,22.48135757446289,1,0.5351405739784241,1.0099999904632568,0.17000000178813934,0.7099999785423279,1.8899999856948853,28.437122344970703 +1984,1,0.6895281076431274,MVA,15-17 yrs,57,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,29.740320205688477 +1984,1,0.6895281076431274,suicide,15-17 yrs,14,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,7.30463981628418 +1984,1,0.6895281076431274,homicide,15-17 yrs,8,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,4.174079895019531 +1984,1,0.6895281076431274,other external,15-17 yrs,21,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,10.95695972442627 +1984,1,0.6895281076431274,internal,15-17 yrs,31,191659,16.002525329589844,0,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,16.174560546875 +1984,1,0.6895281076431274,all,18-20 yrs,228,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,106.058349609375 +1984,1,0.6895281076431274,MVA,18-20 yrs,113,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,52.56400680541992 +1984,1,0.6895281076431274,suicide,18-20 yrs,13,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,6.047186851501465 +1984,1,0.6895281076431274,homicide,18-20 yrs,19,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,8.83819580078125 +1984,1,0.6895281076431274,other external,18-20 yrs,34,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,15.815718650817871 +1984,1,0.6895281076431274,internal,18-20 yrs,49,214976,19.035621643066406,0.6895281076431274,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,22.793241500854492 +1984,1,0.6895281076431274,all,21-24 yrs,353,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,121.85355377197266 +1984,1,0.6895281076431274,MVA,21-24 yrs,131,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,45.22043991088867 +1984,1,0.6895281076431274,suicide,21-24 yrs,39,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,13.462574005126953 +1984,1,0.6895281076431274,homicide,21-24 yrs,54,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,18.640487670898438 +1984,1,0.6895281076431274,other external,21-24 yrs,62,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,21.402040481567383 +1984,1,0.6895281076431274,internal,21-24 yrs,67,289692,22.493268966674805,1,0.5129932761192322,1.0199999809265137,0.1899999976158142,0.6899999976158142,1.899999976158142,23.12801170349121 +1985,1,0.677747368812561,MVA,15-17 yrs,85,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,43.84494400024414 +1985,1,0.677747368812561,suicide,15-17 yrs,14,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,7.221519947052002 +1985,1,0.677747368812561,homicide,15-17 yrs,12,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,6.189874172210693 +1985,1,0.677747368812561,other external,15-17 yrs,24,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,12.379748344421387 +1985,1,0.677747368812561,internal,15-17 yrs,31,193865,15.985051155090332,0,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,15.990509033203125 +1985,1,0.677747368812561,all,18-20 yrs,221,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,107.01972198486328 +1985,1,0.677747368812561,MVA,18-20 yrs,103,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,49.877967834472656 +1985,1,0.677747368812561,suicide,18-20 yrs,24,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,11.622051239013672 +1985,1,0.677747368812561,homicide,18-20 yrs,16,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,7.7480340003967285 +1985,1,0.677747368812561,other external,18-20 yrs,29,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,14.04331111907959 +1985,1,0.677747368812561,internal,18-20 yrs,49,206504,19.039321899414062,0.677747368812561,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,23.72835350036621 +1985,1,0.677747368812561,all,21-24 yrs,358,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,124.95201110839844 +1985,1,0.677747368812561,MVA,21-24 yrs,122,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,42.5814094543457 +1985,1,0.677747368812561,suicide,21-24 yrs,37,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,12.914034843444824 +1985,1,0.677747368812561,homicide,21-24 yrs,56,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,19.545564651489258 +1985,1,0.677747368812561,other external,21-24 yrs,52,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,18.14945411682129 +1985,1,0.677747368812561,internal,21-24 yrs,91,286510,22.500646591186523,1,0.49535316228866577,1.059999942779541,0.17000000178813934,0.6700000166893005,1.899999976158142,31.76154327392578 +1986,1,0.42814481258392334,MVA,15-17 yrs,92,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,46.03291320800781 +1986,1,0.42814481258392334,suicide,15-17 yrs,16,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,8.00572395324707 +1986,1,0.42814481258392334,homicide,15-17 yrs,8,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,4.002861976623535 +1986,1,0.42814481258392334,other external,15-17 yrs,34,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,17.012163162231445 +1986,1,0.42814481258392334,internal,15-17 yrs,34,199857,15.979300498962402,0,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,17.012163162231445 +1986,1,0.42814481258392334,all,18-20 yrs,238,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,119.99596405029297 +1986,1,0.42814481258392334,MVA,18-20 yrs,125,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,63.02309036254883 +1986,1,0.42814481258392334,suicide,18-20 yrs,17,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,8.57114028930664 +1986,1,0.42814481258392334,homicide,18-20 yrs,27,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,13.612987518310547 +1986,1,0.42814481258392334,other external,18-20 yrs,26,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,13.108802795410156 +1986,1,0.42814481258392334,internal,18-20 yrs,43,198340,19.026857376098633,0.42814481258392334,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,21.679943084716797 +1986,1,0.42814481258392334,all,21-24 yrs,317,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,113.341796875 +1986,1,0.42814481258392334,MVA,21-24 yrs,130,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,46.48086166381836 +1986,1,0.42814481258392334,suicide,21-24 yrs,34,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,12.156533241271973 +1986,1,0.42814481258392334,homicide,21-24 yrs,46,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,16.44707489013672 +1986,1,0.42814481258392334,other external,21-24 yrs,41,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,14.659348487854004 +1986,1,0.42814481258392334,internal,21-24 yrs,66,279685,22.499032974243164,1,0.4863138794898987,1.090000033378601,0.18000000715255737,0.6399999856948853,1.899999976158142,23.597976684570312 +1987,1,0.09395354241132736,MVA,15-17 yrs,100,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,49.86312484741211 +1987,1,0.09395354241132736,suicide,15-17 yrs,14,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,6.980837821960449 +1987,1,0.09395354241132736,homicide,15-17 yrs,11,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,5.484943866729736 +1987,1,0.09395354241132736,other external,15-17 yrs,36,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,17.950725555419922 +1987,1,0.09395354241132736,internal,15-17 yrs,28,200549,16.008522033691406,0,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,13.961675643920898 +1987,1,0.09395354241132736,all,18-20 yrs,253,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,128.8266143798828 +1987,1,0.09395354241132736,MVA,18-20 yrs,126,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,64.15870666503906 +1987,1,0.09395354241132736,suicide,18-20 yrs,21,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,10.69311809539795 +1987,1,0.09395354241132736,homicide,18-20 yrs,28,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,14.257490158081055 +1987,1,0.09395354241132736,other external,18-20 yrs,36,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.331058502197266 +1987,1,0.09395354241132736,internal,18-20 yrs,42,196388,19.00566291809082,0.09395354241132736,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,21.3862361907959 +1987,1,0.09395354241132736,all,21-24 yrs,349,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,129.295654296875 +1987,1,0.09395354241132736,MVA,21-24 yrs,150,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,55.571197509765625 +1987,1,0.09395354241132736,suicide,21-24 yrs,30,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,11.114239692687988 +1987,1,0.09395354241132736,homicide,21-24 yrs,50,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.523733139038086 +1987,1,0.09395354241132736,other external,21-24 yrs,44,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,16.300884246826172 +1987,1,0.09395354241132736,internal,21-24 yrs,75,269924,22.50893211364746,1,0.46919015049934387,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,27.785598754882812 +1988,1,0,MVA,15-17 yrs,82,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,41.842071533203125 +1988,1,0,suicide,15-17 yrs,18,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,9.184844970703125 +1988,1,0,homicide,15-17 yrs,8,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,4.0821533203125 +1988,1,0,other external,15-17 yrs,25,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,12.756729125976562 +1988,1,0,internal,15-17 yrs,37,195975,16.034530639648438,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,18.879959106445312 +1988,1,0,all,18-20 yrs,221,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,111.33837890625 +1988,1,0,MVA,18-20 yrs,106,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,53.40211868286133 +1988,1,0,suicide,18-20 yrs,17,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,8.56449031829834 +1988,1,0,homicide,18-20 yrs,30,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,15.11380672454834 +1988,1,0,other external,18-20 yrs,33,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,16.625186920166016 +1988,1,0,internal,18-20 yrs,35,198494,18.98867416381836,0,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,17.632774353027344 +1988,1,0,all,21-24 yrs,360,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,139.21652221679688 +1988,1,0,MVA,21-24 yrs,137,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,52.97962188720703 +1988,1,0,suicide,21-24 yrs,32,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,12.374801635742188 +1988,1,0,homicide,21-24 yrs,59,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,22.8160400390625 +1988,1,0,other external,21-24 yrs,50,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,19.335628509521484 +1988,1,0,internal,21-24 yrs,82,258590,22.520742416381836,1,0.4505494236946106,1.100000023841858,0.18000000715255737,0.6100000143051147,1.8899999856948853,31.710430145263672 +1989,1,0,MVA,15-17 yrs,76,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,40.6917610168457 +1989,1,0,suicide,15-17 yrs,14,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,7.495850563049316 +1989,1,0,homicide,15-17 yrs,17,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,9.102104187011719 +1989,1,0,other external,15-17 yrs,26,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.920865058898926 +1989,1,0,internal,15-17 yrs,37,186770,16.025083541870117,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,19.810462951660156 +1989,1,0,all,18-20 yrs,201,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,98.48210144042969 +1989,1,0,MVA,18-20 yrs,80,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,39.19685745239258 +1989,1,0,suicide,18-20 yrs,27,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.228939056396484 +1989,1,0,homicide,18-20 yrs,38,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,18.618507385253906 +1989,1,0,other external,18-20 yrs,21,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,10.289175033569336 +1989,1,0,internal,18-20 yrs,35,204098,18.984933853149414,0,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,17.148624420166016 +1989,1,0,all,21-24 yrs,290,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,117.85742950439453 +1989,1,0,MVA,21-24 yrs,109,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,44.29813766479492 +1989,1,0,suicide,21-24 yrs,34,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.817768096923828 +1989,1,0,homicide,21-24 yrs,50,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,20.320247650146484 +1989,1,0,other external,21-24 yrs,32,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,13.004958152770996 +1989,1,0,internal,21-24 yrs,65,246060,22.51127052307129,1,0.42983871698379517,1.100000023841858,0.17000000178813934,0.6000000238418579,1.8700000047683716,26.41632080078125 +1990,1,0,MVA,15-17 yrs,78,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,43.18171691894531 +1990,1,0,suicide,15-17 yrs,20,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,11.072235107421875 +1990,1,0,homicide,15-17 yrs,20,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,11.072235107421875 +1990,1,0,other external,15-17 yrs,31,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,17.161964416503906 +1990,1,0,internal,15-17 yrs,28,180632,16.01837921142578,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,15.501129150390625 +1990,1,0,all,18-20 yrs,299,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,144.5037841796875 +1990,1,0,MVA,18-20 yrs,131,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,63.31101989746094 +1990,1,0,suicide,18-20 yrs,21,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,10.149094581604004 +1990,1,0,homicide,18-20 yrs,57,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,27.547544479370117 +1990,1,0,other external,18-20 yrs,49,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,23.68122100830078 +1990,1,0,internal,18-20 yrs,41,206915,19.018259048461914,0,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,19.814899444580078 +1990,1,0,all,21-24 yrs,360,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,149.2667236328125 +1990,1,0,MVA,21-24 yrs,133,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,55.1457633972168 +1990,1,0,suicide,21-24 yrs,49,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,20.31686019897461 +1990,1,0,homicide,21-24 yrs,66,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,27.36556625366211 +1990,1,0,other external,21-24 yrs,41,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,16.99982261657715 +1990,1,0,internal,21-24 yrs,71,241179,22.474971771240234,1,0.40780413150787354,1.1200000047683716,0.18000000715255737,0.6100000143051147,1.9199999570846558,29.4387149810791 +1991,1,0,MVA,15-17 yrs,80,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,44.61223602294922 +1991,1,0,suicide,15-17 yrs,12,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,6.691835403442383 +1991,1,0,homicide,15-17 yrs,21,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,11.710711479187012 +1991,1,0,other external,15-17 yrs,23,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,12.826017379760742 +1991,1,0,internal,15-17 yrs,42,179323,16.022329330444336,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,23.421422958374023 +1991,1,0,all,18-20 yrs,287,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,142.3116912841797 +1991,1,0,MVA,18-20 yrs,114,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,56.527992248535156 +1991,1,0,suicide,18-20 yrs,25,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,12.396489143371582 +1991,1,0,homicide,18-20 yrs,65,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,32.230873107910156 +1991,1,0,other external,18-20 yrs,33,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,16.363365173339844 +1991,1,0,internal,18-20 yrs,50,201670,19.050012588500977,0,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,24.792978286743164 +1991,1,0,all,21-24 yrs,327,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,132.19224548339844 +1991,1,0,MVA,21-24 yrs,102,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,41.23427963256836 +1991,1,0,suicide,21-24 yrs,42,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,16.97882080078125 +1991,1,0,homicide,21-24 yrs,62,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,25.063974380493164 +1991,1,0,other external,21-24 yrs,44,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,17.787336349487305 +1991,1,0,internal,21-24 yrs,77,247367,22.44451332092285,1,0.39133626222610474,1,0.17000000178813934,0.5899999737739563,1.7599999904632568,31.127838134765625 +1992,1,0,MVA,15-17 yrs,69,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,38.015689849853516 +1992,1,0,suicide,15-17 yrs,19,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.46808910369873 +1992,1,0,homicide,15-17 yrs,24,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,13.222848892211914 +1992,1,0,other external,15-17 yrs,19,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.46808910369873 +1992,1,0,internal,15-17 yrs,38,181504,16.017372131347656,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,20.93617820739746 +1992,1,0,all,18-20 yrs,244,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,125.99465942382812 +1992,1,0,MVA,18-20 yrs,99,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,51.120784759521484 +1992,1,0,suicide,18-20 yrs,21,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,10.843802452087402 +1992,1,0,homicide,18-20 yrs,57,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,29.43317985534668 +1992,1,0,other external,18-20 yrs,29,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,14.974775314331055 +1992,1,0,internal,18-20 yrs,38,193659,19.03826904296875,0,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,19.622119903564453 +1992,1,0,all,21-24 yrs,328,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,127.23090362548828 +1992,1,0,MVA,21-24 yrs,109,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,42.281002044677734 +1992,1,0,suicide,21-24 yrs,44,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,17.06756019592285 +1992,1,0,homicide,21-24 yrs,63,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,24.43764305114746 +1992,1,0,other external,21-24 yrs,40,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,15.515963554382324 +1992,1,0,internal,21-24 yrs,72,257799,22.431608200073242,1,0.379900187253952,1.0199999809265137,0.1899999976158142,0.5899999737739563,1.7899999618530273,27.928735733032227 +1993,1,0,MVA,15-17 yrs,79,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,43.1649169921875 +1993,1,0,suicide,15-17 yrs,20,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,10.927826881408691 +1993,1,0,homicide,15-17 yrs,20,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,10.927826881408691 +1993,1,0,other external,15-17 yrs,24,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,13.11339282989502 +1993,1,0,internal,15-17 yrs,16,183019,16.0085506439209,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,8.74226188659668 +1993,1,0,all,18-20 yrs,259,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,135.62481689453125 +1993,1,0,MVA,18-20 yrs,85,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,44.510074615478516 +1993,1,0,suicide,18-20 yrs,22,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,11.520255088806152 +1993,1,0,homicide,18-20 yrs,66,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,34.56076431274414 +1993,1,0,other external,18-20 yrs,41,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,21.469566345214844 +1993,1,0,internal,18-20 yrs,45,190968,19.011844635009766,0,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,23.564157485961914 +1993,1,0,all,21-24 yrs,389,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,147.45907592773438 +1993,1,0,MVA,21-24 yrs,128,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,48.521240234375 +1993,1,0,suicide,21-24 yrs,52,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,19.711753845214844 +1993,1,0,homicide,21-24 yrs,80,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,30.325775146484375 +1993,1,0,other external,21-24 yrs,40,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,15.162887573242188 +1993,1,0,internal,21-24 yrs,89,263802,22.471729278564453,1,0.36885812878608704,1.1399999856948853,0.17000000178813934,0.5600000023841858,1.8600000143051147,33.737422943115234 +1994,1,0,MVA,15-17 yrs,80,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,42.894290924072266 +1994,1,0,suicide,15-17 yrs,16,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,8.578858375549316 +1994,1,0,homicide,15-17 yrs,39,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,20.910966873168945 +1994,1,0,other external,15-17 yrs,28,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,15.013002395629883 +1994,1,0,internal,15-17 yrs,35,186505,16.017988204956055,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,18.766252517700195 +1994,1,0,all,18-20 yrs,262,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,138.11354064941406 +1994,1,0,MVA,18-20 yrs,82,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,43.226375579833984 +1994,1,0,suicide,18-20 yrs,29,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,15.287376403808594 +1994,1,0,homicide,18-20 yrs,65,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,34.264808654785156 +1994,1,0,other external,18-20 yrs,31,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.341678619384766 +1994,1,0,internal,18-20 yrs,55,189699,19.014507293701172,0,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,28.99329948425293 +1994,1,0,all,21-24 yrs,371,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,141.75238037109375 +1994,1,0,MVA,21-24 yrs,110,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,42.02900695800781 +1994,1,0,suicide,21-24 yrs,44,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.811603546142578 +1994,1,0,homicide,21-24 yrs,92,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,35.15153503417969 +1994,1,0,other external,21-24 yrs,44,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,16.811603546142578 +1994,1,0,internal,21-24 yrs,81,261724,22.524965286254883,1,0.359649121761322,1.159999966621399,0.17000000178813934,0.5400000214576721,1.8700000047683716,30.948633193969727 +1995,1,0,MVA,15-17 yrs,77,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,40.3839111328125 +1995,1,0,suicide,15-17 yrs,28,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,14.685057640075684 +1995,1,0,homicide,15-17 yrs,34,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,17.83185577392578 +1995,1,0,other external,15-17 yrs,17,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,8.91592788696289 +1995,1,0,internal,15-17 yrs,36,190670,16.00020408630371,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,18.880788803100586 +1995,1,0,all,18-20 yrs,243,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,127.30110931396484 +1995,1,0,MVA,18-20 yrs,103,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,53.95890808105469 +1995,1,0,suicide,18-20 yrs,22,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,11.525203704833984 +1995,1,0,homicide,18-20 yrs,43,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,22.526535034179688 +1995,1,0,other external,18-20 yrs,29,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,15.192314147949219 +1995,1,0,internal,18-20 yrs,46,190886,19.008302688598633,0,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,24.09815216064453 +1995,1,0,all,21-24 yrs,362,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,142.6218719482422 +1995,1,0,MVA,21-24 yrs,117,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,46.09601974487305 +1995,1,0,suicide,21-24 yrs,40,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,15.759324073791504 +1995,1,0,homicide,21-24 yrs,70,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,27.578815460205078 +1995,1,0,other external,21-24 yrs,43,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,16.941272735595703 +1995,1,0,internal,21-24 yrs,92,253818,22.54361343383789,1,0.3497375547885895,1.1399999856948853,0.15000000596046448,0.5299999713897705,1.809999942779541,36.24644470214844 +1996,1,0,MVA,15-17 yrs,71,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,36.95606994628906 +1996,1,0,suicide,15-17 yrs,14,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,7.287112236022949 +1996,1,0,homicide,15-17 yrs,21,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.930667877197266 +1996,1,0,other external,15-17 yrs,21,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.930667877197266 +1996,1,0,internal,15-17 yrs,35,192120,16.013309478759766,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,18.21778106689453 +1996,1,0,all,18-20 yrs,247,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,128.85052490234375 +1996,1,0,MVA,18-20 yrs,103,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,53.73118591308594 +1996,1,0,suicide,18-20 yrs,17,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,8.868254661560059 +1996,1,0,homicide,18-20 yrs,53,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,27.648086547851562 +1996,1,0,other external,18-20 yrs,27,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.084874153137207 +1996,1,0,internal,18-20 yrs,47,191695,18.999290466308594,0,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,24.51811408996582 +1996,1,0,all,21-24 yrs,352,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,143.2489776611328 +1996,1,0,MVA,21-24 yrs,123,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,50.05575180053711 +1996,1,0,suicide,21-24 yrs,35,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.243507385253906 +1996,1,0,homicide,21-24 yrs,67,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,27.266141891479492 +1996,1,0,other external,21-24 yrs,31,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,12.615677833557129 +1996,1,0,internal,21-24 yrs,96,245726,22.509002685546875,1,0.33970683813095093,1.1699999570846558,0.15000000596046448,0.5299999713897705,1.8600000143051147,39.06790542602539 +1970,2,0.24151089787483215,MVA,15-17 yrs,15,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,88.9943618774414 +1970,2,0.24151089787483215,suicide,15-17 yrs,0,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,0 +1970,2,0.24151089787483215,homicide,15-17 yrs,1,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,5.932957649230957 +1970,2,0.24151089787483215,other external,15-17 yrs,12,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,71.19548797607422 +1970,2,0.24151089787483215,internal,15-17 yrs,3,16855,15.957876205444336,0,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,17.798871994018555 +1970,2,0.24151089787483215,all,18-20 yrs,53,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,297.7862548828125 +1970,2,0.24151089787483215,MVA,18-20 yrs,11,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,61.8046989440918 +1970,2,0.24151089787483215,suicide,18-20 yrs,4,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,22.474435806274414 +1970,2,0.24151089787483215,homicide,18-20 yrs,1,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,5.6186089515686035 +1970,2,0.24151089787483215,other external,18-20 yrs,28,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,157.321044921875 +1970,2,0.24151089787483215,internal,18-20 yrs,9,17798,19.147377014160156,0.24151089787483215,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,50.56747817993164 +1970,2,0.24151089787483215,all,21-24 yrs,86,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,293.72589111328125 +1970,2,0.24151089787483215,MVA,21-24 yrs,21,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,71.72376251220703 +1970,2,0.24151089787483215,suicide,21-24 yrs,7,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,23.907920837402344 +1970,2,0.24151089787483215,homicide,21-24 yrs,5,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,17.077085494995117 +1970,2,0.24151089787483215,other external,21-24 yrs,42,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,143.44752502441406 +1970,2,0.24151089787483215,internal,21-24 yrs,11,29279,22.320228576660156,1,0.6443299055099487,1.1799999475479126,0.3700000047683716,2.069999933242798,3.619999885559082,37.56958770751953 +1971,2,0.7000848054885864,MVA,15-17 yrs,5,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,26.6979923248291 +1971,2,0.7000848054885864,suicide,15-17 yrs,2,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,10.679197311401367 +1971,2,0.7000848054885864,homicide,15-17 yrs,2,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,10.679197311401367 +1971,2,0.7000848054885864,other external,15-17 yrs,23,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,122.8107681274414 +1971,2,0.7000848054885864,internal,15-17 yrs,0,18728,15.98547649383545,0,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,0 +1971,2,0.7000848054885864,all,18-20 yrs,47,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,249.04620361328125 +1971,2,0.7000848054885864,MVA,18-20 yrs,7,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,37.09198760986328 +1971,2,0.7000848054885864,suicide,18-20 yrs,5,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,26.494277954101562 +1971,2,0.7000848054885864,homicide,18-20 yrs,4,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,21.19542121887207 +1971,2,0.7000848054885864,other external,18-20 yrs,28,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,148.36795043945312 +1971,2,0.7000848054885864,internal,18-20 yrs,3,18872,19.05765151977539,0.7000848054885864,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,15.896566390991211 +1971,2,0.7000848054885864,all,21-24 yrs,62,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,229.77430725097656 +1971,2,0.7000848054885864,MVA,21-24 yrs,8,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,29.648296356201172 +1971,2,0.7000848054885864,suicide,21-24 yrs,5,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,18.53018569946289 +1971,2,0.7000848054885864,homicide,21-24 yrs,3,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,11.118111610412598 +1971,2,0.7000848054885864,other external,21-24 yrs,39,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,144.5354461669922 +1971,2,0.7000848054885864,internal,21-24 yrs,7,26983,22.530519485473633,1,0.6172839403152466,1.3300000429153442,0.4300000071525574,2.1500000953674316,3.9100000858306885,25.9422607421875 +1972,2,0.7017737030982971,MVA,15-17 yrs,14,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,69.877716064453125 +1972,2,0.7017737030982971,suicide,15-17 yrs,2,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.98253059387207 +1972,2,0.7017737030982971,homicide,15-17 yrs,0,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,0 +1972,2,0.7017737030982971,other external,15-17 yrs,22,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,109.8078384399414 +1972,2,0.7017737030982971,internal,15-17 yrs,2,20035,15.97519302368164,0,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.98253059387207 +1972,2,0.7017737030982971,all,18-20 yrs,42,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,201.34228515625 +1972,2,0.7017737030982971,MVA,18-20 yrs,10,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,47.938636779785156 +1972,2,0.7017737030982971,suicide,18-20 yrs,6,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,28.76318359375 +1972,2,0.7017737030982971,homicide,18-20 yrs,0,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,0 +1972,2,0.7017737030982971,other external,18-20 yrs,24,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,115.052734375 +1972,2,0.7017737030982971,internal,18-20 yrs,2,20860,19.068647384643555,0.7017737030982971,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,9.587727546691895 +1972,2,0.7017737030982971,all,21-24 yrs,64,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,259.8351745605469 +1972,2,0.7017737030982971,MVA,21-24 yrs,12,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,48.719093322753906 +1972,2,0.7017737030982971,suicide,21-24 yrs,14,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,56.83894348144531 +1972,2,0.7017737030982971,homicide,21-24 yrs,4,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,16.23969841003418 +1972,2,0.7017737030982971,other external,21-24 yrs,32,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,129.91758728027344 +1972,2,0.7017737030982971,internal,21-24 yrs,2,24631,22.549591064453125,1,0.5980861186981201,1.2200000286102295,0.4099999964237213,1.8700000047683716,3.5,8.11984920501709 +1973,2,0.70670318603515625,MVA,15-17 yrs,6,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.839221954345703 +1973,2,0.70670318603515625,suicide,15-17 yrs,3,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,14.419610977172852 +1973,2,0.70670318603515625,homicide,15-17 yrs,0,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,0 +1973,2,0.70670318603515625,other external,15-17 yrs,16,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,76.90458679199219 +1973,2,0.70670318603515625,internal,15-17 yrs,6,20805,15.974141120910645,0,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.839221954345703 +1973,2,0.70670318603515625,all,18-20 yrs,51,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,225.20533752441406 +1973,2,0.70670318603515625,MVA,18-20 yrs,13,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,57.40528106689453 +1973,2,0.70670318603515625,suicide,18-20 yrs,10,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,44.15790939331055 +1973,2,0.70670318603515625,homicide,18-20 yrs,3,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,13.2473726272583 +1973,2,0.70670318603515625,other external,18-20 yrs,22,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,97.14739990234375 +1973,2,0.70670318603515625,internal,18-20 yrs,3,22646,19.082353591918945,0.70670318603515625,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,13.2473726272583 +1973,2,0.70670318603515625,all,21-24 yrs,64,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,258.8577880859375 +1973,2,0.70670318603515625,MVA,21-24 yrs,9,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,36.401878356933594 +1973,2,0.70670318603515625,suicide,21-24 yrs,10,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,40.446529388427734 +1973,2,0.70670318603515625,homicide,21-24 yrs,5,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,20.223264694213867 +1973,2,0.70670318603515625,other external,21-24 yrs,33,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,133.47354125976562 +1973,2,0.70670318603515625,internal,21-24 yrs,7,24724,22.44038200378418,1,0.5630630254745483,1.2599999904632568,0.4300000071525574,1.8700000047683716,3.549999952316284,28.312570571899414 +1974,2,0.7087494730949402,MVA,15-17 yrs,10,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,45.61419677734375 +1974,2,0.7087494730949402,suicide,15-17 yrs,1,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,4.561419486999512 +1974,2,0.7087494730949402,homicide,15-17 yrs,0,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,0 +1974,2,0.7087494730949402,other external,15-17 yrs,15,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,68.421295166015625 +1974,2,0.7087494730949402,internal,15-17 yrs,5,21923,15.999544143676758,0,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,22.807098388671875 +1974,2,0.7087494730949402,all,18-20 yrs,56,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,239.0098114013672 +1974,2,0.7087494730949402,MVA,18-20 yrs,8,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,34.14426040649414 +1974,2,0.7087494730949402,suicide,18-20 yrs,9,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,38.41229248046875 +1974,2,0.7087494730949402,homicide,18-20 yrs,1,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,4.268032550811768 +1974,2,0.7087494730949402,other external,18-20 yrs,27,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,115.23687744140625 +1974,2,0.7087494730949402,internal,18-20 yrs,11,23430,19.086214065551758,0.7087494730949402,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,46.94835662841797 +1974,2,0.7087494730949402,all,21-24 yrs,71,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,276.2108459472656 +1974,2,0.7087494730949402,MVA,21-24 yrs,7,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,27.2320556640625 +1974,2,0.7087494730949402,suicide,21-24 yrs,12,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,46.68352508544922 +1974,2,0.7087494730949402,homicide,21-24 yrs,1,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,3.890293598175049 +1974,2,0.7087494730949402,other external,21-24 yrs,45,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,175.06321716308594 +1974,2,0.7087494730949402,internal,21-24 yrs,6,25705,22.303871154785156,1,0.5070993900299072,1.409999966621399,0.4699999988079071,1.9800000190734863,3.859999895095825,23.34176254272461 +1975,2,0.7029412984848022,MVA,15-17 yrs,11,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,45.927101135253906 +1975,2,0.7029412984848022,suicide,15-17 yrs,2,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,8.350381851196289 +1975,2,0.7029412984848022,homicide,15-17 yrs,3,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,12.525572776794434 +1975,2,0.7029412984848022,other external,15-17 yrs,11,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,45.927101135253906 +1975,2,0.7029412984848022,internal,15-17 yrs,2,23951,15.998747825622559,0,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,8.350381851196289 +1975,2,0.7029412984848022,all,18-20 yrs,60,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,234.3658447265625 +1975,2,0.7029412984848022,MVA,18-20 yrs,13,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,50.779266357421875 +1975,2,0.7029412984848022,suicide,18-20 yrs,15,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,58.591461181640625 +1975,2,0.7029412984848022,homicide,18-20 yrs,0,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,0 +1975,2,0.7029412984848022,other external,18-20 yrs,28,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,109.3707275390625 +1975,2,0.7029412984848022,internal,18-20 yrs,4,25601,19.07753562927246,0.7029412984848022,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,15.6243896484375 +1975,2,0.7029412984848022,all,21-24 yrs,103,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,338.96075439453125 +1975,2,0.7029412984848022,MVA,21-24 yrs,28,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,92.14466857910156 +1975,2,0.7029412984848022,suicide,21-24 yrs,17,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,55.944976806640625 +1975,2,0.7029412984848022,homicide,21-24 yrs,5,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,16.454404830932617 +1975,2,0.7029412984848022,other external,21-24 yrs,46,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,151.38052368164062 +1975,2,0.7029412984848022,internal,21-24 yrs,7,30387,22.341691970825195,1,0.46468400955200195,1.4900000095367432,0.4699999988079071,2.1700000762939453,4.130000114440918,23.03616714477539 +1976,2,0.7082101702690125,MVA,15-17 yrs,6,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,23.62948989868164 +1976,2,0.7082101702690125,suicide,15-17 yrs,3,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,11.81474494934082 +1976,2,0.7082101702690125,homicide,15-17 yrs,3,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,11.81474494934082 +1976,2,0.7082101702690125,other external,15-17 yrs,9,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,35.44423294067383 +1976,2,0.7082101702690125,internal,15-17 yrs,4,25392,15.986333847045898,0,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,15.752992630004883 +1976,2,0.7082101702690125,all,18-20 yrs,80,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,295.5956115722656 +1976,2,0.7082101702690125,MVA,18-20 yrs,22,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,81.2887954711914 +1976,2,0.7082101702690125,suicide,18-20 yrs,10,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,36.9494514465332 +1976,2,0.7082101702690125,homicide,18-20 yrs,7,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,25.86461639404297 +1976,2,0.7082101702690125,other external,18-20 yrs,37,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,136.71298217773438 +1976,2,0.7082101702690125,internal,18-20 yrs,4,27064,19.079479217529297,0.7082101702690125,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,14.779781341552734 +1976,2,0.7082101702690125,all,21-24 yrs,101,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,288.3078308105469 +1976,2,0.7082101702690125,MVA,21-24 yrs,28,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,79.92692565917969 +1976,2,0.7082101702690125,suicide,21-24 yrs,17,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,48.527061462402344 +1976,2,0.7082101702690125,homicide,21-24 yrs,7,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,19.981731414794922 +1976,2,0.7082101702690125,other external,21-24 yrs,34,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,97.05412292480469 +1976,2,0.7082101702690125,internal,21-24 yrs,15,35032,22.440168380737305,1,0.43936729431152344,1.4800000190734863,0.49000000953674316,2.059999942779541,4.03000020980835,42.8179931640625 +1977,2,0.7183303236961365,MVA,15-17 yrs,9,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,35.97553634643555 +1977,2,0.7183303236961365,suicide,15-17 yrs,5,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,19.98641014099121 +1977,2,0.7183303236961365,homicide,15-17 yrs,1,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,3.997281789779663 +1977,2,0.7183303236961365,other external,15-17 yrs,15,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,59.959228515625 +1977,2,0.7183303236961365,internal,15-17 yrs,1,25017,15.988287925720215,0,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,3.997281789779663 +1977,2,0.7183303236961365,all,18-20 yrs,70,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,261.1160888671875 +1977,2,0.7183303236961365,MVA,18-20 yrs,20,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,74.60459899902344 +1977,2,0.7183303236961365,suicide,18-20 yrs,10,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,37.30229949951172 +1977,2,0.7183303236961365,homicide,18-20 yrs,0,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,0 +1977,2,0.7183303236961365,other external,18-20 yrs,29,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,108.17666625976562 +1977,2,0.7183303236961365,internal,18-20 yrs,11,26808,19.104408264160156,0.7183303236961365,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,41.032527923583984 +1977,2,0.7183303236961365,all,21-24 yrs,87,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,236.92164611816406 +1977,2,0.7183303236961365,MVA,21-24 yrs,28,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,76.25064849853516 +1977,2,0.7183303236961365,suicide,21-24 yrs,13,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,35.40208435058594 +1977,2,0.7183303236961365,homicide,21-24 yrs,3,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,8.16971206665039 +1977,2,0.7183303236961365,other external,21-24 yrs,39,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,106.20626068115234 +1977,2,0.7183303236961365,internal,21-24 yrs,4,36721,22.49478530883789,1,0.4125412702560425,1.190000057220459,0.41999998688697815,1.7000000476837158,3.309999942779541,10.892949104309082 +1978,2,0.7218514680862427,MVA,15-17 yrs,10,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,40.595947265625 +1978,2,0.7218514680862427,suicide,15-17 yrs,4,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,16.238378524780273 +1978,2,0.7218514680862427,homicide,15-17 yrs,3,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,12.178784370422363 +1978,2,0.7218514680862427,other external,15-17 yrs,23,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,93.37068176269531 +1978,2,0.7218514680862427,internal,15-17 yrs,3,24633,15.98705005645752,0,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,12.178784370422363 +1978,2,0.7218514680862427,all,18-20 yrs,76,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,294.87078857421875 +1978,2,0.7218514680862427,MVA,18-20 yrs,16,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,62.07806396484375 +1978,2,0.7218514680862427,suicide,18-20 yrs,8,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,31.039031982421875 +1978,2,0.7218514680862427,homicide,18-20 yrs,5,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,19.399394989013672 +1978,2,0.7218514680862427,other external,18-20 yrs,40,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,155.19515991210938 +1978,2,0.7218514680862427,internal,18-20 yrs,7,25774,19.11321449279785,0.7218514680862427,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,27.15915298461914 +1978,2,0.7218514680862427,all,21-24 yrs,108,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,287.1653137207031 +1978,2,0.7218514680862427,MVA,21-24 yrs,26,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,69.13238525390625 +1978,2,0.7218514680862427,suicide,21-24 yrs,10,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,26.589380264282227 +1978,2,0.7218514680862427,homicide,21-24 yrs,15,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,39.884071350097656 +1978,2,0.7218514680862427,other external,21-24 yrs,44,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,116.99327087402344 +1978,2,0.7218514680862427,internal,21-24 yrs,13,37609,22.514265060424805,1,0.38343560695648193,1.3899999856948853,0.44999998807907104,1.6799999475479126,3.5199999809265137,34.566192626953125 +1979,2,0.6399285197257996,MVA,15-17 yrs,11,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,46.18162155151367 +1979,2,0.6399285197257996,suicide,15-17 yrs,3,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,12.594986915588379 +1979,2,0.6399285197257996,homicide,15-17 yrs,2,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,8.396657943725586 +1979,2,0.6399285197257996,other external,15-17 yrs,8,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,33.586631774902344 +1979,2,0.6399285197257996,internal,15-17 yrs,5,23819,15.994122505187988,0,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,20.99164581298828 +1979,2,0.6399285197257996,all,18-20 yrs,65,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,331.88665771484375 +1979,2,0.6399285197257996,MVA,18-20 yrs,18,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,91.907073974609375 +1979,2,0.6399285197257996,suicide,18-20 yrs,6,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,30.635690689086914 +1979,2,0.6399285197257996,homicide,18-20 yrs,7,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,35.74163818359375 +1979,2,0.6399285197257996,other external,18-20 yrs,29,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,148.072509765625 +1979,2,0.6399285197257996,internal,18-20 yrs,5,19585,18.91585350036621,0.6399285197257996,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,25.529741287231445 +1979,2,0.6399285197257996,all,21-24 yrs,63,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,165.267578125 +1979,2,0.6399285197257996,MVA,21-24 yrs,5,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,13.116474151611328 +1979,2,0.6399285197257996,suicide,21-24 yrs,3,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,7.869884490966797 +1979,2,0.6399285197257996,homicide,21-24 yrs,9,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,23.60965347290039 +1979,2,0.6399285197257996,other external,21-24 yrs,44,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,115.42497253417969 +1979,2,0.6399285197257996,internal,21-24 yrs,2,38120,22.527544021606445,1,0.3443526327610016,1.5,0.4699999988079071,1.649999976158142,3.619999885559082,5.246589660644531 +1980,2,0.6909536123275757,MVA,15-17 yrs,7,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,31.165130615234375 +1980,2,0.6909536123275757,suicide,15-17 yrs,1,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,4.4521613121032715 +1980,2,0.6909536123275757,homicide,15-17 yrs,2,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,8.904322624206543 +1980,2,0.6909536123275757,other external,15-17 yrs,17,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,75.6867446899414 +1980,2,0.6909536123275757,internal,15-17 yrs,4,22461,16.015270233154297,0,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,17.808645248413086 +1980,2,0.6909536123275757,all,18-20 yrs,51,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,218.9687042236328 +1980,2,0.6909536123275757,MVA,18-20 yrs,7,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,30.054527282714844 +1980,2,0.6909536123275757,suicide,18-20 yrs,8,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,34.34803009033203 +1980,2,0.6909536123275757,homicide,18-20 yrs,1,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,4.293503761291504 +1980,2,0.6909536123275757,other external,18-20 yrs,32,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,137.39212036132812 +1980,2,0.6909536123275757,internal,18-20 yrs,3,23291,19.04422378540039,0.6909536123275757,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,12.880512237548828 +1980,2,0.6909536123275757,all,21-24 yrs,92,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,254.29116821289062 +1980,2,0.6909536123275757,MVA,21-24 yrs,24,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,66.336822509765625 +1980,2,0.6909536123275757,suicide,21-24 yrs,12,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,33.16841125488281 +1980,2,0.6909536123275757,homicide,21-24 yrs,4,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,11.056137084960938 +1980,2,0.6909536123275757,other external,21-24 yrs,46,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,127.14558410644531 +1980,2,0.6909536123275757,internal,21-24 yrs,6,36179,22.54777717590332,1,0.3033980429172516,1.5499999523162842,0.5,1.7000000476837158,3.759999990463257,16.584205627441406 +1981,2,0.6593461632728577,MVA,15-17 yrs,5,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,22.575401306152344 +1981,2,0.6593461632728577,suicide,15-17 yrs,0,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,0 +1981,2,0.6593461632728577,homicide,15-17 yrs,2,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,9.030160903930664 +1981,2,0.6593461632728577,other external,15-17 yrs,12,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,54.180965423583984 +1981,2,0.6593461632728577,internal,15-17 yrs,5,22148,16.033140182495117,0,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,22.575401306152344 +1981,2,0.6593461632728577,all,18-20 yrs,49,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,203.80999755859375 +1981,2,0.6593461632728577,MVA,18-20 yrs,14,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,58.23143005371094 +1981,2,0.6593461632728577,suicide,18-20 yrs,9,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,37.43449020385742 +1981,2,0.6593461632728577,homicide,18-20 yrs,4,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,16.637550354003906 +1981,2,0.6593461632728577,other external,18-20 yrs,18,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,74.86898040771484 +1981,2,0.6593461632728577,internal,18-20 yrs,4,24042,18.983736038208008,0.6593461632728577,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,16.637550354003906 +1981,2,0.6593461632728577,all,21-24 yrs,103,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,304.130859375 +1981,2,0.6593461632728577,MVA,21-24 yrs,20,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,59.05453872680664 +1981,2,0.6593461632728577,suicide,21-24 yrs,10,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,29.52726936340332 +1981,2,0.6593461632728577,homicide,21-24 yrs,8,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,23.621814727783203 +1981,2,0.6593461632728577,other external,21-24 yrs,56,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,165.3527069091797 +1981,2,0.6593461632728577,internal,21-24 yrs,9,33867,22.56349754333496,1,0.27502748370170593,1.7100000381469727,0.5699999928474426,1.8200000524520874,4.099999904632568,26.574541091918945 +1982,2,0.6774168610572815,MVA,15-17 yrs,3,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,13.487996101379395 +1982,2,0.6774168610572815,suicide,15-17 yrs,1,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,4.495998382568359 +1982,2,0.6774168610572815,homicide,15-17 yrs,5,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,22.479991912841797 +1982,2,0.6774168610572815,other external,15-17 yrs,24,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,107.90396881103516 +1982,2,0.6774168610572815,internal,15-17 yrs,2,22242,16.030122756958008,0,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,8.991996765136719 +1982,2,0.6774168610572815,all,18-20 yrs,56,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,215.77467346191406 +1982,2,0.6774168610572815,MVA,18-20 yrs,16,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,61.649906158447266 +1982,2,0.6774168610572815,suicide,18-20 yrs,9,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,34.678070068359375 +1982,2,0.6774168610572815,homicide,18-20 yrs,6,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,23.118715286254883 +1982,2,0.6774168610572815,other external,18-20 yrs,19,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,73.20926666259766 +1982,2,0.6774168610572815,internal,18-20 yrs,6,25953,18.999074935913086,0.6774168610572815,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,23.118715286254883 +1982,2,0.6774168610572815,all,21-24 yrs,86,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,258.8568115234375 +1982,2,0.6774168610572815,MVA,21-24 yrs,11,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,33.10959243774414 +1982,2,0.6774168610572815,suicide,21-24 yrs,10,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,30.09963035583496 +1982,2,0.6774168610572815,homicide,21-24 yrs,9,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,27.08966636657715 +1982,2,0.6774168610572815,other external,21-24 yrs,49,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,147.48818969726562 +1982,2,0.6774168610572815,internal,21-24 yrs,7,33223,22.558137893676758,1,0.2590673565864563,1.75,0.5600000023841858,1.7400000095367432,4.050000190734863,21.069740295410156 +1983,2,0.6980699300765991,MVA,15-17 yrs,11,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,47.88646697998047 +1983,2,0.6980699300765991,suicide,15-17 yrs,2,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,8.706629753112793 +1983,2,0.6980699300765991,homicide,15-17 yrs,0,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,0 +1983,2,0.6980699300765991,other external,15-17 yrs,9,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,39.17983627319336 +1983,2,0.6980699300765991,internal,15-17 yrs,6,22971,16.015541076660156,0,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,26.119890213012695 +1983,2,0.6980699300765991,all,18-20 yrs,59,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,212.16915893554688 +1983,2,0.6980699300765991,MVA,18-20 yrs,16,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,57.53739929199219 +1983,2,0.6980699300765991,suicide,18-20 yrs,8,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,28.768699645996094 +1983,2,0.6980699300765991,homicide,18-20 yrs,2,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,7.192174911499023 +1983,2,0.6980699300765991,other external,18-20 yrs,30,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,107.88262176513672 +1983,2,0.6980699300765991,internal,18-20 yrs,3,27808,19.051280975341797,0.6980699300765991,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,10.788262367248535 +1983,2,0.6980699300765991,all,21-24 yrs,101,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,300.523681640625 +1983,2,0.6980699300765991,MVA,21-24 yrs,20,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,59.509639739990234 +1983,2,0.6980699300765991,suicide,21-24 yrs,5,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,14.877409934997559 +1983,2,0.6980699300765991,homicide,21-24 yrs,5,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,14.877409934997559 +1983,2,0.6980699300765991,other external,21-24 yrs,61,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,181.50440979003906 +1983,2,0.6980699300765991,internal,21-24 yrs,10,33608,22.519309997558594,1,0.35140562057495117,1.7599999904632568,0.6100000143051147,1.7000000476837158,4.059999942779541,29.754819869995117 +1984,2,0.5346471071243286,MVA,15-17 yrs,7,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,29.53337287902832 +1984,2,0.5346471071243286,suicide,15-17 yrs,6,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,25.314319610595703 +1984,2,0.5346471071243286,homicide,15-17 yrs,1,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,4.219053268432617 +1984,2,0.5346471071243286,other external,15-17 yrs,8,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,33.75242614746094 +1984,2,0.5346471071243286,internal,15-17 yrs,2,23702,15.984474182128906,0,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,8.438106536865234 +1984,2,0.5346471071243286,all,18-20 yrs,45,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,166.6851806640625 +1984,2,0.5346471071243286,MVA,18-20 yrs,14,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,51.85761260986328 +1984,2,0.5346471071243286,suicide,18-20 yrs,8,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,29.632923126220703 +1984,2,0.5346471071243286,homicide,18-20 yrs,4,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,14.816461563110352 +1984,2,0.5346471071243286,other external,18-20 yrs,18,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,66.674072265625 +1984,2,0.5346471071243286,internal,18-20 yrs,1,26997,19.07023048400879,0.5346471071243286,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,3.704115390777588 +1984,2,0.5346471071243286,all,21-24 yrs,93,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,267.33355712890625 +1984,2,0.5346471071243286,MVA,21-24 yrs,21,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,60.36564254760742 +1984,2,0.5346471071243286,suicide,21-24 yrs,10,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,28.74554443359375 +1984,2,0.5346471071243286,homicide,21-24 yrs,9,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,25.870990753173828 +1984,2,0.5346471071243286,other external,21-24 yrs,41,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,117.85673522949219 +1984,2,0.5346471071243286,internal,21-24 yrs,12,34788,22.434459686279297,1,0.33686235547065735,1.7300000190734863,0.5799999833106995,1.559999942779541,3.859999895095825,34.494651794433594 +1985,2,0.1824607104063034,MVA,15-17 yrs,6,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,24.076080322265625 +1985,2,0.1824607104063034,suicide,15-17 yrs,5,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,20.063400268554688 +1985,2,0.1824607104063034,homicide,15-17 yrs,0,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,0 +1985,2,0.1824607104063034,other external,15-17 yrs,10,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,40.126800537109375 +1985,2,0.1824607104063034,internal,15-17 yrs,2,24921,15.954376220703125,0,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,8.025360107421875 +1985,2,0.1824607104063034,all,18-20 yrs,47,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,183.07884216308594 +1985,2,0.1824607104063034,MVA,18-20 yrs,15,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,58.42941665649414 +1985,2,0.1824607104063034,suicide,18-20 yrs,8,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,31.162355422973633 +1985,2,0.1824607104063034,homicide,18-20 yrs,3,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,11.685883522033691 +1985,2,0.1824607104063034,other external,18-20 yrs,19,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,74.0105972290039 +1985,2,0.1824607104063034,internal,18-20 yrs,2,25672,19.066259384155273,0.1824607104063034,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,7.790588855743408 +1985,2,0.1824607104063034,all,21-24 yrs,78,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,216.90164184570312 +1985,2,0.1824607104063034,MVA,21-24 yrs,20,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,55.615806579589844 +1985,2,0.1824607104063034,suicide,21-24 yrs,7,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,19.465532302856445 +1985,2,0.1824607104063034,homicide,21-24 yrs,3,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,8.342370986938477 +1985,2,0.1824607104063034,other external,21-24 yrs,38,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,105.67002868652344 +1985,2,0.1824607104063034,internal,21-24 yrs,10,35961,22.413782119750977,1,0.3252788186073303,1.6799999475479126,0.5799999833106995,1.5299999713897705,3.7799999713897705,27.807903289794922 +1986,2,0,MVA,15-17 yrs,7,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,26.80451774597168 +1986,2,0,suicide,15-17 yrs,2,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,7.65843391418457 +1986,2,0,homicide,15-17 yrs,4,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,15.31686782836914 +1986,2,0,other external,15-17 yrs,16,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,61.26747131347656 +1986,2,0,internal,15-17 yrs,4,26115,15.94937801361084,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,15.31686782836914 +1986,2,0,all,18-20 yrs,49,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,200.75384521484375 +1986,2,0,MVA,18-20 yrs,7,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,28.679121017456055 +1986,2,0,suicide,18-20 yrs,6,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,24.582103729248047 +1986,2,0,homicide,18-20 yrs,1,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,4.097017288208008 +1986,2,0,other external,18-20 yrs,23,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,94.23139953613281 +1986,2,0,internal,18-20 yrs,12,24408,19.060636520385742,0,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,49.164207458496094 +1986,2,0,all,21-24 yrs,77,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,206.43431091308594 +1986,2,0,MVA,21-24 yrs,15,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,40.2144775390625 +1986,2,0,suicide,21-24 yrs,12,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,32.17158126831055 +1986,2,0,homicide,21-24 yrs,10,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,26.80965232849121 +1986,2,0,other external,21-24 yrs,34,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,91.15281677246094 +1986,2,0,internal,21-24 yrs,6,37300,22.468900680541992,1,0.31934306025505066,1.6799999475479126,0.5600000023841858,1.2699999809265137,3.509999990463257,16.085790634155273 +1987,2,0,MVA,15-17 yrs,6,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,23.33087158203125 +1987,2,0,suicide,15-17 yrs,7,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,27.219348907470703 +1987,2,0,homicide,15-17 yrs,1,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,3.8884785175323486 +1987,2,0,other external,15-17 yrs,5,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,19.442392349243164 +1987,2,0,internal,15-17 yrs,4,25717,15.976980209350586,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,15.553914070129395 +1987,2,0,all,18-20 yrs,27,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,117.38109588623047 +1987,2,0,MVA,18-20 yrs,5,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,21.737239837646484 +1987,2,0,suicide,18-20 yrs,6,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,26.084688186645508 +1987,2,0,homicide,18-20 yrs,0,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,0 +1987,2,0,other external,18-20 yrs,11,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,47.821929931640625 +1987,2,0,internal,18-20 yrs,5,23002,19.0406494140625,0,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,21.737239837646484 +1987,2,0,all,21-24 yrs,70,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,191.20980834960938 +1987,2,0,MVA,21-24 yrs,9,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,24.584117889404297 +1987,2,0,suicide,21-24 yrs,15,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,40.97352981567383 +1987,2,0,homicide,21-24 yrs,6,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,16.38941192626953 +1987,2,0,other external,21-24 yrs,26,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,71.02079010009766 +1987,2,0,internal,21-24 yrs,14,36609,22.551149368286133,1,0.30809858441352844,1.6399999856948853,0.5400000214576721,1.2899999618530273,3.4600000381469727,38.24196243286133 +1988,2,0,MVA,15-17 yrs,5,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,20.46999168395996 +1988,2,0,suicide,15-17 yrs,7,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,28.657987594604492 +1988,2,0,homicide,15-17 yrs,1,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,4.093998432159424 +1988,2,0,other external,15-17 yrs,9,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,36.845985412597656 +1988,2,0,internal,15-17 yrs,6,24426,16.003889083862305,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,24.563989639282227 +1988,2,0,all,18-20 yrs,32,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,138.77444458007812 +1988,2,0,MVA,18-20 yrs,12,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,52.0404167175293 +1988,2,0,suicide,18-20 yrs,5,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,21.683507919311523 +1988,2,0,homicide,18-20 yrs,1,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,4.336701393127441 +1988,2,0,other external,18-20 yrs,12,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,52.0404167175293 +1988,2,0,internal,18-20 yrs,2,23059,19.0164794921875,0,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,8.673402786254883 +1988,2,0,all,21-24 yrs,65,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,183.65731811523438 +1988,2,0,MVA,21-24 yrs,12,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,33.905967712402344 +1988,2,0,suicide,21-24 yrs,12,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,33.905967712402344 +1988,2,0,homicide,21-24 yrs,6,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,16.952983856201172 +1988,2,0,other external,21-24 yrs,25,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,70.63743591308594 +1988,2,0,internal,21-24 yrs,10,35392,22.573040008544922,1,0.2958579659461975,1.600000023841858,0.49000000953674316,1.2300000190734863,3.319999933242798,28.254972457885742 +1989,2,0,MVA,15-17 yrs,7,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,30.370080947875977 +1989,2,0,suicide,15-17 yrs,10,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,43.38582992553711 +1989,2,0,homicide,15-17 yrs,2,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.677165985107422 +1989,2,0,other external,15-17 yrs,12,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,52.06299591064453 +1989,2,0,internal,15-17 yrs,2,23049,15.999002456665039,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.677165985107422 +1989,2,0,all,18-20 yrs,45,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,192.02047729492188 +1989,2,0,MVA,18-20 yrs,8,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,34.1369743347168 +1989,2,0,suicide,18-20 yrs,9,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,38.40409469604492 +1989,2,0,homicide,18-20 yrs,2,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.5342435836792 +1989,2,0,other external,18-20 yrs,24,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,102.41092681884766 +1989,2,0,internal,18-20 yrs,2,23435,19.01958656311035,0,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.5342435836792 +1989,2,0,all,21-24 yrs,64,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,186.1385040283203 +1989,2,0,MVA,21-24 yrs,4,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,11.63365650177002 +1989,2,0,suicide,21-24 yrs,15,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,43.6262092590332 +1989,2,0,homicide,21-24 yrs,3,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,8.725241661071777 +1989,2,0,other external,21-24 yrs,35,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,101.79449462890625 +1989,2,0,internal,21-24 yrs,7,34383,22.57054328918457,1,0.2822580635547638,1.5700000524520874,0.46000000834465027,1.2400000095367432,3.2699999809265137,20.358898162841797 +1990,2,0,MVA,15-17 yrs,5,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.7580509185791 +1990,2,0,suicide,15-17 yrs,4,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,17.40644073486328 +1990,2,0,homicide,15-17 yrs,2,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,8.70322036743164 +1990,2,0,other external,15-17 yrs,11,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,47.86771011352539 +1990,2,0,internal,15-17 yrs,4,22980,15.977110862731934,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,17.40644073486328 +1990,2,0,all,18-20 yrs,43,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,185.68096923828125 +1990,2,0,MVA,18-20 yrs,5,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.590810775756836 +1990,2,0,suicide,18-20 yrs,6,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,25.908973693847656 +1990,2,0,homicide,18-20 yrs,3,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,12.954486846923828 +1990,2,0,other external,18-20 yrs,24,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,103.63589477539062 +1990,2,0,internal,18-20 yrs,5,23158,19.0450382232666,0,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,21.590810775756836 +1990,2,0,all,21-24 yrs,66,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,200.949951171875 +1990,2,0,MVA,21-24 yrs,10,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,30.44696044921875 +1990,2,0,suicide,21-24 yrs,15,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,45.670440673828125 +1990,2,0,homicide,21-24 yrs,4,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,12.178784370422363 +1990,2,0,other external,21-24 yrs,28,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,85.251495361328125 +1990,2,0,internal,21-24 yrs,9,32844,22.54564094543457,1,0.267788827419281,1.6200000047683716,0.46000000834465027,1.25,3.3299999237060547,27.402265548706055 +1991,2,0,MVA,15-17 yrs,3,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.595516204833984 +1991,2,0,suicide,15-17 yrs,6,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,25.19103240966797 +1991,2,0,homicide,15-17 yrs,3,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.595516204833984 +1991,2,0,other external,15-17 yrs,13,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,54.580570220947266 +1991,2,0,internal,15-17 yrs,2,23818,15.983541488647461,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,8.397010803222656 +1991,2,0,all,18-20 yrs,46,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,190.5787811279297 +1991,2,0,MVA,18-20 yrs,12,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,49.71620178222656 +1991,2,0,suicide,18-20 yrs,11,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,45.573184967041016 +1991,2,0,homicide,18-20 yrs,3,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,12.42905044555664 +1991,2,0,other external,18-20 yrs,12,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,49.71620178222656 +1991,2,0,internal,18-20 yrs,8,24137,19.011268615722656,0,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,33.144134521484375 +1991,2,0,all,21-24 yrs,58,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,182.2695770263672 +1991,2,0,MVA,21-24 yrs,13,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,40.85352325439453 +1991,2,0,suicide,21-24 yrs,7,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,21.998050689697266 +1991,2,0,homicide,21-24 yrs,5,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,15.712894439697266 +1991,2,0,other external,21-24 yrs,26,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,81.70704650878906 +1991,2,0,internal,21-24 yrs,7,31821,22.505327224731445,1,0.2569750249385834,1.5399999618530273,0.4300000071525574,1.1399999856948853,3.109999895095825,21.998050689697266 +1992,2,0,MVA,15-17 yrs,5,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,19.9449520111084 +1992,2,0,suicide,15-17 yrs,6,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,23.933942794799805 +1992,2,0,homicide,15-17 yrs,0,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,0 +1992,2,0,other external,15-17 yrs,9,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,35.90091323852539 +1992,2,0,internal,15-17 yrs,2,25069,15.987833976745605,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,7.977980613708496 +1992,2,0,all,18-20 yrs,52,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,199.58547973632812 +1992,2,0,MVA,18-20 yrs,13,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,49.89636993408203 +1992,2,0,suicide,18-20 yrs,7,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,26.86727523803711 +1992,2,0,homicide,18-20 yrs,3,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,11.514546394348145 +1992,2,0,other external,18-20 yrs,25,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,95.954559326171875 +1992,2,0,internal,18-20 yrs,4,26054,19.019920349121094,0,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,15.352728843688965 +1992,2,0,all,21-24 yrs,73,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,228.21058654785156 +1992,2,0,MVA,21-24 yrs,17,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,53.144927978515625 +1992,2,0,suicide,21-24 yrs,13,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,40.64023971557617 +1992,2,0,homicide,21-24 yrs,7,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,21.88320541381836 +1992,2,0,other external,21-24 yrs,27,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,84.40665435791016 +1992,2,0,internal,21-24 yrs,9,31988,22.470239639282227,1,0.24946542084217072,1.5299999713897705,0.4099999964237213,1.0800000429153442,3.0199999809265137,28.13555145263672 +1993,2,0,MVA,15-17 yrs,8,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,30.701923370361328 +1993,2,0,suicide,15-17 yrs,12,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,46.05288314819336 +1993,2,0,homicide,15-17 yrs,1,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,3.837740421295166 +1993,2,0,other external,15-17 yrs,9,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,34.5396614074707 +1993,2,0,internal,15-17 yrs,3,26057,15.988870620727539,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,11.51322078704834 +1993,2,0,all,18-20 yrs,29,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,105.13340759277344 +1993,2,0,MVA,18-20 yrs,4,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,14.50115966796875 +1993,2,0,suicide,18-20 yrs,13,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,47.12876892089844 +1993,2,0,homicide,18-20 yrs,3,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,10.875869750976562 +1993,2,0,other external,18-20 yrs,7,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,25.377029418945312 +1993,2,0,internal,18-20 yrs,2,27584,19.029691696166992,0,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,7.250579833984375 +1993,2,0,all,21-24 yrs,46,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,141.80899047851562 +1993,2,0,MVA,21-24 yrs,12,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,36.993648529052734 +1993,2,0,suicide,21-24 yrs,8,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,24.662433624267578 +1993,2,0,homicide,21-24 yrs,2,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,6.1656084060668945 +1993,2,0,other external,21-24 yrs,11,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,33.91084671020508 +1993,2,0,internal,21-24 yrs,13,32438,22.449596405029297,1,0.24221453070640564,1.309999942779541,0.3199999928474426,0.9200000166893005,2.549999952316284,40.076454162597656 +1994,2,0,MVA,15-17 yrs,3,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,11.00675106048584 +1994,2,0,suicide,15-17 yrs,9,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,33.0202522277832 +1994,2,0,homicide,15-17 yrs,3,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,11.00675106048584 +1994,2,0,other external,15-17 yrs,8,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,29.351335525512695 +1994,2,0,internal,15-17 yrs,1,27256,16.000659942626953,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,3.668916940689087 +1994,2,0,all,18-20 yrs,43,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,153.1502685546875 +1994,2,0,MVA,18-20 yrs,11,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,39.177974700927734 +1994,2,0,suicide,18-20 yrs,10,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,35.61634063720703 +1994,2,0,homicide,18-20 yrs,5,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,17.808170318603516 +1994,2,0,other external,18-20 yrs,10,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,35.61634063720703 +1994,2,0,internal,18-20 yrs,7,28077,19.026962280273438,0,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,24.931438446044922 +1994,2,0,all,21-24 yrs,51,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,154.4378204345703 +1994,2,0,MVA,21-24 yrs,6,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,18.16915512084961 +1994,2,0,suicide,21-24 yrs,15,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,45.42288589477539 +1994,2,0,homicide,21-24 yrs,5,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,15.140962600708008 +1994,2,0,other external,21-24 yrs,16,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,48.451080322265625 +1994,2,0,internal,21-24 yrs,9,33023,22.418163299560547,1,0.23616734147071838,1.5299999713897705,0.4000000059604645,1.100000023841858,3.0299999713897705,27.253732681274414 +1995,2,0,MVA,15-17 yrs,4,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,14.187416076660156 +1995,2,0,suicide,15-17 yrs,5,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.734270095825195 +1995,2,0,homicide,15-17 yrs,2,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,7.093708038330078 +1995,2,0,other external,15-17 yrs,3,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,10.640562057495117 +1995,2,0,internal,15-17 yrs,2,28194,15.999184608459473,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,7.093708038330078 +1995,2,0,all,18-20 yrs,33,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,113.89521789550781 +1995,2,0,MVA,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,suicide,18-20 yrs,7,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,24.159591674804688 +1995,2,0,homicide,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,other external,18-20 yrs,8,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,27.6109619140625 +1995,2,0,internal,18-20 yrs,6,28974,19.012563705444336,0,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,20.708221435546875 +1995,2,0,all,21-24 yrs,49,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,146.47853088378906 +1995,2,0,MVA,21-24 yrs,6,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.936147689819336 +1995,2,0,suicide,21-24 yrs,12,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,35.87229537963867 +1995,2,0,homicide,21-24 yrs,3,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,8.968073844909668 +1995,2,0,other external,21-24 yrs,22,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,65.76587677001953 +1995,2,0,internal,21-24 yrs,6,33452,22.408466339111328,1,0.2296587973833084,1.4500000476837158,0.38999998569488525,1.0199999809265137,2.859999895095825,17.936147689819336 +1996,2,0,MVA,15-17 yrs,10,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,33.90175247192383 +1996,2,0,suicide,15-17 yrs,9,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.511577606201172 +1996,2,0,homicide,15-17 yrs,3,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,10.170525550842285 +1996,2,0,other external,15-17 yrs,10,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,33.90175247192383 +1996,2,0,internal,15-17 yrs,5,29497,16.012136459350586,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,16.950876235961914 +1996,2,0,all,18-20 yrs,26,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,86.90129852294922 +1996,2,0,MVA,18-20 yrs,4,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,13.369430541992188 +1996,2,0,suicide,18-20 yrs,9,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.081218719482422 +1996,2,0,homicide,18-20 yrs,2,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,6.684715270996094 +1996,2,0,other external,18-20 yrs,9,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,30.081218719482422 +1996,2,0,internal,18-20 yrs,2,29919,19.004545211791992,0,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,6.684715270996094 +1996,2,0,all,21-24 yrs,55,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,158.2141876220703 +1996,2,0,MVA,21-24 yrs,10,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,28.766216278076172 +1996,2,0,suicide,21-24 yrs,14,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,40.272705078125 +1996,2,0,homicide,21-24 yrs,6,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,17.259729385375977 +1996,2,0,other external,21-24 yrs,18,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,51.77919006347656 +1996,2,0,internal,21-24 yrs,7,34763,22.419410705566406,1,0.22307202219963074,1.309999942779541,0.3799999952316284,0.9399999976158142,2.630000114440918,20.1363525390625 +1970,4,0,MVA,15-17 yrs,40,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,37.463706970214844 +1970,4,0,suicide,15-17 yrs,5,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,4.6829633712768555 +1970,4,0,homicide,15-17 yrs,8,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,7.492741584777832 +1970,4,0,other external,15-17 yrs,38,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,35.59052276611328 +1970,4,0,internal,15-17 yrs,34,106770,15.97783088684082,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,31.84415054321289 +1970,4,0,all,18-20 yrs,178,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,183.96221923828125 +1970,4,0,MVA,18-20 yrs,82,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,84.74663543701172 +1970,4,0,suicide,18-20 yrs,14,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,14.468937873840332 +1970,4,0,homicide,18-20 yrs,10,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,10.334956169128418 +1970,4,0,other external,18-20 yrs,38,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,39.272830963134766 +1970,4,0,internal,18-20 yrs,34,96759,18.982017517089844,0,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,35.138851165771484 +1970,4,0,all,21-24 yrs,242,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,209.8654022216797 +1970,4,0,MVA,21-24 yrs,108,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,93.65894317626953 +1970,4,0,suicide,21-24 yrs,26,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,22.547523498535156 +1970,4,0,homicide,21-24 yrs,16,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,13.875398635864258 +1970,4,0,other external,21-24 yrs,42,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,36.42292404174805 +1970,4,0,internal,21-24 yrs,50,115312,22.405136108398438,1,0.20618556439876556,1.3700000047683716,0.3199999928474426,1.0499999523162842,2.7300000190734863,43.36062240600586 +1971,4,0,MVA,15-17 yrs,69,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,59.89635467529297 +1971,4,0,suicide,15-17 yrs,8,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,6.944504737854004 +1971,4,0,homicide,15-17 yrs,5,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,4.340315341949463 +1971,4,0,other external,15-17 yrs,34,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,29.514144897460938 +1971,4,0,internal,15-17 yrs,34,115199,15.985528945922852,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,29.514144897460938 +1971,4,0,all,18-20 yrs,218,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,206.71148681640625 +1971,4,0,MVA,18-20 yrs,86,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,81.5467300415039 +1971,4,0,suicide,18-20 yrs,32,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,30.34296989440918 +1971,4,0,homicide,18-20 yrs,9,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,8.533960342407227 +1971,4,0,other external,18-20 yrs,45,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,42.669803619384766 +1971,4,0,internal,18-20 yrs,46,105461,18.997041702270508,0,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,43.618019104003906 +1971,4,0,all,21-24 yrs,255,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,192.8560028076172 +1971,4,0,MVA,21-24 yrs,90,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,68.06682586669922 +1971,4,0,suicide,21-24 yrs,36,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,27.226730346679688 +1971,4,0,homicide,21-24 yrs,16,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,12.10076904296875 +1971,4,0,other external,21-24 yrs,48,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,36.30230712890625 +1971,4,0,internal,21-24 yrs,65,132223,22.519168853759766,1,0.1975308656692505,1.3799999952316284,0.3499999940395355,1.0800000429153442,2.819999933242798,49.15937423706055 +1972,4,0.27738747000694275,MVA,15-17 yrs,48,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,38.828041076660156 +1972,4,0.27738747000694275,suicide,15-17 yrs,14,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,11.324845314025879 +1972,4,0.27738747000694275,homicide,15-17 yrs,8,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,6.471340179443359 +1972,4,0.27738747000694275,other external,15-17 yrs,32,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,25.885360717773438 +1972,4,0.27738747000694275,internal,15-17 yrs,26,123622,15.974583625793457,0,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,21.0318546295166 +1972,4,0.27738747000694275,all,18-20 yrs,220,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,194.0719757080078 +1972,4,0.27738747000694275,MVA,18-20 yrs,104,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,91.74311828613281 +1972,4,0.27738747000694275,suicide,18-20 yrs,16,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,14.114326477050781 +1972,4,0.27738747000694275,homicide,18-20 yrs,24,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,21.171489715576172 +1972,4,0.27738747000694275,other external,18-20 yrs,32,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,28.228652954101562 +1972,4,0.27738747000694275,internal,18-20 yrs,44,113360,18.993375778198242,0.27738747000694275,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,38.814395904541016 +1972,4,0.27738747000694275,all,21-24 yrs,264,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,189.98545837402344 +1972,4,0.27738747000694275,MVA,21-24 yrs,84,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,60.449920654296875 +1972,4,0.27738747000694275,suicide,21-24 yrs,42,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,30.224960327148438 +1972,4,0.27738747000694275,homicide,21-24 yrs,14,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,10.074986457824707 +1972,4,0.27738747000694275,other external,21-24 yrs,60,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,43.17851257324219 +1972,4,0.27738747000694275,internal,21-24 yrs,64,138958,22.474899291992188,1,0.19138756394386292,1.4900000095367432,0.3400000035762787,1.0700000524520874,2.9100000858306885,46.05708312988281 +1973,4,0.664995014667511,MVA,15-17 yrs,79,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,59.80272674560547 +1973,4,0.664995014667511,suicide,15-17 yrs,3,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,2.2709896564483643 +1973,4,0.664995014667511,homicide,15-17 yrs,5,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,3.784982681274414 +1973,4,0.664995014667511,other external,15-17 yrs,29,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,21.952899932861328 +1973,4,0.664995014667511,internal,15-17 yrs,25,132101,15.97951602935791,0,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.92491340637207 +1973,4,0.664995014667511,all,18-20 yrs,276,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,227.27833557128906 +1973,4,0.664995014667511,MVA,18-20 yrs,130,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,107.0513916015625 +1973,4,0.664995014667511,suicide,18-20 yrs,22,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.116390228271484 +1973,4,0.664995014667511,homicide,18-20 yrs,22,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.116390228271484 +1973,4,0.664995014667511,other external,18-20 yrs,57,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,46.93791961669922 +1973,4,0.664995014667511,internal,18-20 yrs,45,121437,18.993379592895508,0.664995014667511,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,37.056251525878906 +1973,4,0.664995014667511,all,21-24 yrs,332,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,223.94000244140625 +1973,4,0.664995014667511,MVA,21-24 yrs,133,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,89.71089935302734 +1973,4,0.664995014667511,suicide,21-24 yrs,40,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,26.980722427368164 +1973,4,0.664995014667511,homicide,21-24 yrs,28,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,18.886505126953125 +1973,4,0.664995014667511,other external,21-24 yrs,68,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,45.86722946166992 +1973,4,0.664995014667511,internal,21-24 yrs,63,148254,22.46385955810547,1,0.18018017709255219,1.5700000524520874,0.3400000035762787,1.090000033378601,3,42.49463653564453 +1974,4,0.6677368879318237,MVA,15-17 yrs,51,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,36.763912200927734 +1974,4,0.6677368879318237,suicide,15-17 yrs,15,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,10.812914848327637 +1974,4,0.6677368879318237,homicide,15-17 yrs,9,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,6.487749099731445 +1974,4,0.6677368879318237,other external,15-17 yrs,33,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,23.78841209411621 +1974,4,0.6677368879318237,internal,15-17 yrs,38,138723,15.994290351867676,0,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,27.392717361450195 +1974,4,0.6677368879318237,all,18-20 yrs,277,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,214.8236083984375 +1974,4,0.6677368879318237,MVA,18-20 yrs,109,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,84.533477783203125 +1974,4,0.6677368879318237,suicide,18-20 yrs,26,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,20.16394805908203 +1974,4,0.6677368879318237,homicide,18-20 yrs,28,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,21.71502113342285 +1974,4,0.6677368879318237,other external,18-20 yrs,74,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,57.38969802856445 +1974,4,0.6677368879318237,internal,18-20 yrs,40,128943,19.001745223999023,0.6677368879318237,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,31.021459579467773 +1974,4,0.6677368879318237,all,21-24 yrs,323,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,206.10662841796875 +1974,4,0.6677368879318237,MVA,21-24 yrs,100,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,63.81010055541992 +1974,4,0.6677368879318237,suicide,21-24 yrs,52,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,33.181251525878906 +1974,4,0.6677368879318237,homicide,21-24 yrs,33,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,21.05733299255371 +1974,4,0.6677368879318237,other external,21-24 yrs,79,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,50.40998077392578 +1974,4,0.6677368879318237,internal,21-24 yrs,59,156715,22.464780807495117,1,0.16227179765701294,1.6299999952316284,0.33000001311302185,1.090000033378601,3.059999942779541,37.6479606628418 +1975,4,0.6632464528083801,MVA,15-17 yrs,53,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,37.69157028198242 +1975,4,0.6632464528083801,suicide,15-17 yrs,10,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,7.111616611480713 +1975,4,0.6632464528083801,homicide,15-17 yrs,9,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,6.400454998016357 +1975,4,0.6632464528083801,other external,15-17 yrs,27,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,19.201364517211914 +1975,4,0.6632464528083801,internal,15-17 yrs,27,140615,15.992966651916504,0,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,19.201364517211914 +1975,4,0.6632464528083801,all,18-20 yrs,245,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,182.29437255859375 +1975,4,0.6632464528083801,MVA,18-20 yrs,95,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,70.685577392578125 +1975,4,0.6632464528083801,suicide,18-20 yrs,34,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,25.29799461364746 +1975,4,0.6632464528083801,homicide,18-20 yrs,23,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,17.11334991455078 +1975,4,0.6632464528083801,other external,18-20 yrs,41,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,30.506406784057617 +1975,4,0.6632464528083801,internal,18-20 yrs,52,134398,18.993623733520508,0.6632464528083801,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,38.6910514831543 +1975,4,0.6632464528083801,all,21-24 yrs,322,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,196.1166534423828 +1975,4,0.6632464528083801,MVA,21-24 yrs,85,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,51.76992416381836 +1975,4,0.6632464528083801,suicide,21-24 yrs,48,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,29.234779357910156 +1975,4,0.6632464528083801,homicide,21-24 yrs,30,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,18.271738052368164 +1975,4,0.6632464528083801,other external,21-24 yrs,67,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,40.806880950927734 +1975,4,0.6632464528083801,internal,21-24 yrs,92,164188,22.465557098388672,1,0.14869888126850128,1.6299999952316284,0.36000001430511475,1.0800000429153442,3.059999942779541,56.033329010009766 +1976,4,0.6716262698173523,MVA,15-17 yrs,58,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,40.62307357788086 +1976,4,0.6716262698173523,suicide,15-17 yrs,6,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,4.202386856079102 +1976,4,0.6716262698173523,homicide,15-17 yrs,5,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,3.5019891262054443 +1976,4,0.6716262698173523,other external,15-17 yrs,25,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,17.509944915771484 +1976,4,0.6716262698173523,internal,15-17 yrs,23,142776,15.987743377685547,0,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,16.109149932861328 +1976,4,0.6716262698173523,all,18-20 yrs,235,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,168.42617797851562 +1976,4,0.6716262698173523,MVA,18-20 yrs,101,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,72.387420654296875 +1976,4,0.6716262698173523,suicide,18-20 yrs,22,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,15.767557144165039 +1976,4,0.6716262698173523,homicide,18-20 yrs,20,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,14.33414363861084 +1976,4,0.6716262698173523,other external,18-20 yrs,44,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,31.535114288330078 +1976,4,0.6716262698173523,internal,18-20 yrs,48,139527,19.002206802368164,0.6716262698173523,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,34.40194320678711 +1976,4,0.6716262698173523,all,21-24 yrs,294,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,172.04754638671875 +1976,4,0.6716262698173523,MVA,21-24 yrs,109,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,63.78633499145508 +1976,4,0.6716262698173523,suicide,21-24 yrs,41,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,23.993024826049805 +1976,4,0.6716262698173523,homicide,21-24 yrs,18,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,10.533522605895996 +1976,4,0.6716262698173523,other external,21-24 yrs,68,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,39.79330825805664 +1976,4,0.6716262698173523,internal,21-24 yrs,58,170883,22.464868545532227,1,0.14059753715991974,1.6699999570846558,0.38999998569488525,1.1200000047683716,3.1700000762939453,33.94135284423828 +1977,4,0.678782045841217,MVA,15-17 yrs,69,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,47.63384246826172 +1977,4,0.678782045841217,suicide,15-17 yrs,19,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,13.116564750671387 +1977,4,0.678782045841217,homicide,15-17 yrs,21,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,14.4972562789917 +1977,4,0.678782045841217,other external,15-17 yrs,23,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,15.877946853637695 +1977,4,0.678782045841217,internal,15-17 yrs,24,144855,15.995443344116211,0,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,16.56829261779785 +1977,4,0.678782045841217,all,18-20 yrs,249,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,172.74632263183594 +1977,4,0.678782045841217,MVA,18-20 yrs,120,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,83.25123596191406 +1977,4,0.678782045841217,suicide,18-20 yrs,36,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,24.975372314453125 +1977,4,0.678782045841217,homicide,18-20 yrs,20,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,13.875205993652344 +1977,4,0.678782045841217,other external,18-20 yrs,34,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,23.58785057067871 +1977,4,0.678782045841217,internal,18-20 yrs,39,144142,19.020132064819336,0.678782045841217,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,27.056652069091797 +1977,4,0.678782045841217,all,21-24 yrs,336,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,188.153076171875 +1977,4,0.678782045841217,MVA,21-24 yrs,133,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,74.47725677490234 +1977,4,0.678782045841217,suicide,21-24 yrs,57,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,31.918825149536133 +1977,4,0.678782045841217,homicide,21-24 yrs,29,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,16.239402770996094 +1977,4,0.678782045841217,other external,21-24 yrs,52,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,29.118928909301758 +1977,4,0.678782045841217,internal,21-24 yrs,65,178578,22.46590805053711,1,0.132013201713562,1.7000000476837158,0.3400000035762787,1.0499999523162842,3.0999999046325684,36.398658752441406 +1978,4,0.6793755888938904,MVA,15-17 yrs,80,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,54.84260177612305 +1978,4,0.6793755888938904,suicide,15-17 yrs,14,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,9.597455024719238 +1978,4,0.6793755888938904,homicide,15-17 yrs,14,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,9.597455024719238 +1978,4,0.6793755888938904,other external,15-17 yrs,31,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,21.251508712768555 +1978,4,0.6793755888938904,internal,15-17 yrs,28,145872,16.007780075073242,0,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,19.194910049438477 +1978,4,0.6793755888938904,all,18-20 yrs,278,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,188.19642639160156 +1978,4,0.6793755888938904,MVA,18-20 yrs,139,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,94.09821319580078 +1978,4,0.6793755888938904,suicide,18-20 yrs,30,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,20.30896759033203 +1978,4,0.6793755888938904,homicide,18-20 yrs,22,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,14.893242835998535 +1978,4,0.6793755888938904,other external,18-20 yrs,45,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,30.463451385498047 +1978,4,0.6793755888938904,internal,18-20 yrs,42,147718,19.021717071533203,0.6793755888938904,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,28.432554244995117 +1978,4,0.6793755888938904,all,21-24 yrs,370,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,195.90402221679688 +1978,4,0.6793755888938904,MVA,21-24 yrs,161,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,85.244720458984375 +1978,4,0.6793755888938904,suicide,21-24 yrs,61,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,32.29768753051758 +1978,4,0.6793755888938904,homicide,21-24 yrs,40,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,21.17881202697754 +1978,4,0.6793755888938904,other external,21-24 yrs,48,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,25.414575576782227 +1978,4,0.6793755888938904,internal,21-24 yrs,60,188868,22.463499069213867,1,0.12269938737154007,1.7699999809265137,0.3700000047683716,1.100000023841858,3.25,31.768218994140625 +1979,4,0.6786624193191528,MVA,15-17 yrs,77,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,52.46589660644531 +1979,4,0.6786624193191528,suicide,15-17 yrs,11,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,7.495128154754639 +1979,4,0.6786624193191528,homicide,15-17 yrs,13,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,8.857878684997559 +1979,4,0.6786624193191528,other external,15-17 yrs,25,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,17.034381866455078 +1979,4,0.6786624193191528,internal,15-17 yrs,26,146762,16.009151458740234,0,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,17.715757369995117 +1979,4,0.6786624193191528,all,18-20 yrs,297,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,192.99749755859375 +1979,4,0.6786624193191528,MVA,18-20 yrs,158,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,102.67207336425781 +1979,4,0.6786624193191528,suicide,18-20 yrs,33,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,21.444168090820312 +1979,4,0.6786624193191528,homicide,18-20 yrs,26,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,16.895404815673828 +1979,4,0.6786624193191528,other external,18-20 yrs,40,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.992929458618164 +1979,4,0.6786624193191528,internal,18-20 yrs,40,153888,19.019676208496094,0.6786624193191528,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.992929458618164 +1979,4,0.6786624193191528,all,21-24 yrs,344,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,171.59075927734375 +1979,4,0.6786624193191528,MVA,21-24 yrs,153,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,76.31797790527344 +1979,4,0.6786624193191528,suicide,21-24 yrs,51,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,25.439327239990234 +1979,4,0.6786624193191528,homicide,21-24 yrs,32,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,15.961931228637695 +1979,4,0.6786624193191528,other external,21-24 yrs,58,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,28.930999755859375 +1979,4,0.6786624193191528,internal,21-24 yrs,50,200477,22.465295791625977,1,0.11019283533096313,1.8600000143051147,0.38999998569488525,1.1699999570846558,3.4200000762939453,24.94051742553711 +1980,4,0.6830323338508606,MVA,15-17 yrs,53,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,36.204410552978516 +1980,4,0.6830323338508606,suicide,15-17 yrs,15,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,10.24653148651123 +1980,4,0.6830323338508606,homicide,15-17 yrs,15,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,10.24653148651123 +1980,4,0.6830323338508606,other external,15-17 yrs,27,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,18.443756103515625 +1980,4,0.6830323338508606,internal,15-17 yrs,29,146391,16.01795196533203,0,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,19.809961318969727 +1980,4,0.6830323338508606,all,18-20 yrs,248,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,155.2872772216797 +1980,4,0.6830323338508606,MVA,18-20 yrs,109,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,68.25126647949219 +1980,4,0.6830323338508606,suicide,18-20 yrs,29,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,18.158594131469727 +1980,4,0.6830323338508606,homicide,18-20 yrs,28,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,17.532434463500977 +1980,4,0.6830323338508606,other external,18-20 yrs,45,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,28.177127838134766 +1980,4,0.6830323338508606,internal,18-20 yrs,37,159704,19.02358055114746,0.6830323338508606,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,23.16786003112793 +1980,4,0.6830323338508606,all,21-24 yrs,359,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,169.84756469726562 +1980,4,0.6830323338508606,MVA,21-24 yrs,140,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,66.2358169555664 +1980,4,0.6830323338508606,suicide,21-24 yrs,54,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,25.5481014251709 +1980,4,0.6830323338508606,homicide,21-24 yrs,43,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,20.34385871887207 +1980,4,0.6830323338508606,other external,21-24 yrs,59,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,27.913665771484375 +1980,4,0.6830323338508606,internal,21-24 yrs,63,211366,22.48490333557129,1,0.09708737581968307,1.690000057220459,0.36000001430511475,0.9800000190734863,3.0299999713897705,29.80611801147461 +1981,4,0.6847169995307922,MVA,15-17 yrs,52,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,36.53738021850586 +1981,4,0.6847169995307922,suicide,15-17 yrs,16,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,11.242270469665527 +1981,4,0.6847169995307922,homicide,15-17 yrs,6,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,4.215851783752441 +1981,4,0.6847169995307922,other external,15-17 yrs,26,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,18.26869010925293 +1981,4,0.6847169995307922,internal,15-17 yrs,24,142320,16.03657341003418,0,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,16.863407135009766 +1981,4,0.6847169995307922,all,18-20 yrs,212,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,132.99374389648438 +1981,4,0.6847169995307922,MVA,18-20 yrs,88,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,55.20494842529297 +1981,4,0.6847169995307922,suicide,18-20 yrs,30,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,18.819868087768555 +1981,4,0.6847169995307922,homicide,18-20 yrs,6,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,3.7639737129211426 +1981,4,0.6847169995307922,other external,18-20 yrs,54,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,33.875762939453125 +1981,4,0.6847169995307922,internal,18-20 yrs,34,159406,19.03204345703125,0.6847169995307922,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,21.329185485839844 +1981,4,0.6847169995307922,all,21-24 yrs,346,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,158.4430389404297 +1981,4,0.6847169995307922,MVA,21-24 yrs,144,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,65.94161224365234 +1981,4,0.6847169995307922,suicide,21-24 yrs,56,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,25.64396095275879 +1981,4,0.6847169995307922,homicide,21-24 yrs,54,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,24.728105545043945 +1981,4,0.6847169995307922,other external,21-24 yrs,44,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,20.148826599121094 +1981,4,0.6847169995307922,internal,21-24 yrs,48,218375,22.50511360168457,1,0.08800879865884781,1.7799999713897705,0.41999998688697815,1.0099999904632568,3.2200000286102295,21.98053741455078 +1982,4,0.6810897588729858,MVA,15-17 yrs,42,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,30.33388900756836 +1982,4,0.6810897588729858,suicide,15-17 yrs,14,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,10.111296653747559 +1982,4,0.6810897588729858,homicide,15-17 yrs,6,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,4.3334126472473145 +1982,4,0.6810897588729858,other external,15-17 yrs,16,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,11.555767059326172 +1982,4,0.6810897588729858,internal,15-17 yrs,26,138459,16.031604766845703,0,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.778121948242188 +1982,4,0.6810897588729858,all,18-20 yrs,220,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,138.58267211914062 +1982,4,0.6810897588729858,MVA,18-20 yrs,100,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,62.99212646484375 +1982,4,0.6810897588729858,suicide,18-20 yrs,30,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.89763832092285 +1982,4,0.6810897588729858,homicide,18-20 yrs,26,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,16.377952575683594 +1982,4,0.6810897588729858,other external,18-20 yrs,26,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,16.377952575683594 +1982,4,0.6810897588729858,internal,18-20 yrs,38,158750,19.02461814880371,0.6810897588729858,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,23.937007904052734 +1982,4,0.6810897588729858,all,21-24 yrs,354,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,158.63058471679688 +1982,4,0.6810897588729858,MVA,21-24 yrs,120,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,53.77307891845703 +1982,4,0.6810897588729858,suicide,21-24 yrs,54,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,24.197885513305664 +1982,4,0.6810897588729858,homicide,21-24 yrs,42,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,18.82057762145996 +1982,4,0.6810897588729858,other external,21-24 yrs,54,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,24.197885513305664 +1982,4,0.6810897588729858,internal,21-24 yrs,84,223160,22.51030731201172,1,0.08290155231952667,1.7400000095367432,0.4000000059604645,0.9900000095367432,3.130000114440918,37.64115524291992 +1983,4,0.6871956586837769,MVA,15-17 yrs,41,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,30.147502899169922 +1983,4,0.6871956586837769,suicide,15-17 yrs,17,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,12.500184059143066 +1983,4,0.6871956586837769,homicide,15-17 yrs,9,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,6.617744445800781 +1983,4,0.6871956586837769,other external,15-17 yrs,11,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,8.088354110717773 +1983,4,0.6871956586837769,internal,15-17 yrs,23,135998,16.018815994262695,0,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,16.91201400756836 +1983,4,0.6871956586837769,all,18-20 yrs,197,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,124.57788848876953 +1983,4,0.6871956586837769,MVA,18-20 yrs,87,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,55.016632080078125 +1983,4,0.6871956586837769,suicide,18-20 yrs,30,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,18.97125244140625 +1983,4,0.6871956586837769,homicide,18-20 yrs,18,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,11.38275146484375 +1983,4,0.6871956586837769,other external,18-20 yrs,22,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,13.912251472473145 +1983,4,0.6871956586837769,internal,18-20 yrs,40,158134,19.031719207763672,0.6871956586837769,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,25.29500389099121 +1983,4,0.6871956586837769,all,21-24 yrs,262,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,116.31365966796875 +1983,4,0.6871956586837769,MVA,21-24 yrs,86,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,38.179290771484375 +1983,4,0.6871956586837769,suicide,21-24 yrs,45,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,19.977537155151367 +1983,4,0.6871956586837769,homicide,21-24 yrs,30,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,13.318357467651367 +1983,4,0.6871956586837769,other external,21-24 yrs,34,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,15.094138145446777 +1983,4,0.6871956586837769,internal,21-24 yrs,67,225253,22.522109985351562,1,0.0803212821483612,1.6200000047683716,0.4399999976158142,1,3.059999942779541,29.74433135986328 +1984,4,0.6938179135322571,MVA,15-17 yrs,46,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,33.23387145996094 +1984,4,0.6938179135322571,suicide,15-17 yrs,13,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,9.392181396484375 +1984,4,0.6938179135322571,homicide,15-17 yrs,11,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,7.947230339050293 +1984,4,0.6938179135322571,other external,15-17 yrs,19,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,13.727034568786621 +1984,4,0.6938179135322571,internal,15-17 yrs,24,138413,16.005468368530273,0,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,17.339412689208984 +1984,4,0.6938179135322571,all,18-20 yrs,212,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,135.57501220703125 +1984,4,0.6938179135322571,MVA,18-20 yrs,123,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,78.659088134765625 +1984,4,0.6938179135322571,suicide,18-20 yrs,21,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,13.42959976196289 +1984,4,0.6938179135322571,homicide,18-20 yrs,24,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,15.348114013671875 +1984,4,0.6938179135322571,other external,18-20 yrs,18,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,11.511085510253906 +1984,4,0.6938179135322571,internal,18-20 yrs,26,156371,19.0469913482666,0.6938179135322571,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,16.627124786376953 +1984,4,0.6938179135322571,all,21-24 yrs,333,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,146.7839813232422 +1984,4,0.6938179135322571,MVA,21-24 yrs,129,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,56.86226272583008 +1984,4,0.6938179135322571,suicide,21-24 yrs,59,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,26.006771087646484 +1984,4,0.6938179135322571,homicide,21-24 yrs,35,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,15.42774486541748 +1984,4,0.6938179135322571,other external,21-24 yrs,51,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,22.48042869567871 +1984,4,0.6938179135322571,internal,21-24 yrs,59,226864,22.533615112304688,1,0.15399421751499176,1.5700000524520874,0.44999998807907104,1.059999942779541,3.0799999237060547,26.006771087646484 +1985,4,0.5194456577301025,MVA,15-17 yrs,52,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,36.136959075927734 +1985,4,0.5194456577301025,suicide,15-17 yrs,24,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,16.67859649658203 +1985,4,0.5194456577301025,homicide,15-17 yrs,14,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,9.729181289672852 +1985,4,0.5194456577301025,other external,15-17 yrs,16,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,11.119064331054688 +1985,4,0.5194456577301025,internal,15-17 yrs,25,143897,15.990500450134277,0,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,17.373537063598633 +1985,4,0.5194456577301025,all,18-20 yrs,208,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,134.20480346679688 +1985,4,0.5194456577301025,MVA,18-20 yrs,99,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,63.87632369995117 +1985,4,0.5194456577301025,suicide,18-20 yrs,29,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,18.711246490478516 +1985,4,0.5194456577301025,homicide,18-20 yrs,16,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,10.323446273803711 +1985,4,0.5194456577301025,other external,18-20 yrs,18,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,11.613877296447754 +1985,4,0.5194456577301025,internal,18-20 yrs,46,154987,19.039810180664062,0.5194456577301025,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,29.679908752441406 +1985,4,0.5194456577301025,all,21-24 yrs,315,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,137.40817260742188 +1985,4,0.5194456577301025,MVA,21-24 yrs,125,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,54.52705383300781 +1985,4,0.5194456577301025,suicide,21-24 yrs,54,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,23.555686950683594 +1985,4,0.5194456577301025,homicide,21-24 yrs,34,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,14.831358909606934 +1985,4,0.5194456577301025,other external,21-24 yrs,45,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,19.62973976135254 +1985,4,0.5194456577301025,internal,21-24 yrs,57,229244,22.53521156311035,1,0.14869888126850128,1.6699999570846558,0.46000000834465027,1,3.119999885559082,24.864336013793945 +1986,4,0.1716172993183136,MVA,15-17 yrs,77,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,51.07896041870117 +1986,4,0.1716172993183136,suicide,15-17 yrs,20,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,13.26726245880127 +1986,4,0.1716172993183136,homicide,15-17 yrs,14,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,9.287083625793457 +1986,4,0.1716172993183136,other external,15-17 yrs,18,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,11.940536499023438 +1986,4,0.1716172993183136,internal,15-17 yrs,20,150747,15.993074417114258,0,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,13.26726245880127 +1986,4,0.1716172993183136,all,18-20 yrs,239,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,153.29847717285156 +1986,4,0.1716172993183136,MVA,18-20 yrs,111,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,71.19720458984375 +1986,4,0.1716172993183136,suicide,18-20 yrs,29,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,18.601070404052734 +1986,4,0.1716172993183136,homicide,18-20 yrs,32,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,20.525320053100586 +1986,4,0.1716172993183136,other external,18-20 yrs,26,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,16.676822662353516 +1986,4,0.1716172993183136,internal,18-20 yrs,41,155905,19.027536392211914,0.1716172993183136,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,26.298065185546875 +1986,4,0.1716172993183136,all,21-24 yrs,352,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,152.24913024902344 +1986,4,0.1716172993183136,MVA,21-24 yrs,130,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,56.22837448120117 +1986,4,0.1716172993183136,suicide,21-24 yrs,59,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,25.519031524658203 +1986,4,0.1716172993183136,homicide,21-24 yrs,50,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,21.626296997070312 +1986,4,0.1716172993183136,other external,21-24 yrs,44,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,19.03114128112793 +1986,4,0.1716172993183136,internal,21-24 yrs,69,231200,22.53525161743164,1,0.14598539471626282,1.7699999809265137,0.46000000834465027,0.9100000262260437,3.140000104904175,29.844289779663086 +1987,4,0,MVA,15-17 yrs,49,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,31.738834381103516 +1987,4,0,suicide,15-17 yrs,25,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,16.193283081054688 +1987,4,0,homicide,15-17 yrs,14,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,9.068238258361816 +1987,4,0,other external,15-17 yrs,21,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,13.602357864379883 +1987,4,0,internal,15-17 yrs,26,154385,16.027482986450195,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,16.841014862060547 +1987,4,0,all,18-20 yrs,194,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,121.13870239257812 +1987,4,0,MVA,18-20 yrs,102,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,63.69148254394531 +1987,4,0,suicide,18-20 yrs,31,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,19.357215881347656 +1987,4,0,homicide,18-20 yrs,17,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,10.615246772766113 +1987,4,0,other external,18-20 yrs,21,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,13.11295223236084 +1987,4,0,internal,18-20 yrs,23,160147,19.015859603881836,0,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,14.361804962158203 +1987,4,0,all,21-24 yrs,335,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,145.11021423339844 +1987,4,0,MVA,21-24 yrs,134,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,58.04408645629883 +1987,4,0,suicide,21-24 yrs,66,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,28.588878631591797 +1987,4,0,homicide,21-24 yrs,40,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,17.32659339904785 +1987,4,0,other external,21-24 yrs,34,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,14.727603912353516 +1987,4,0,internal,21-24 yrs,61,230859,22.54947853088379,1,0.14084507524967194,1.6699999570846558,0.46000000834465027,0.8600000143051147,2.990000009536743,26.42305564880371 +1988,4,0,MVA,15-17 yrs,53,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,34.67292785644531 +1988,4,0,suicide,15-17 yrs,20,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,13.084124565124512 +1988,4,0,homicide,15-17 yrs,15,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,9.813093185424805 +1988,4,0,other external,15-17 yrs,22,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,14.392537117004395 +1988,4,0,internal,15-17 yrs,26,152857,16.048824310302734,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,17.009361267089844 +1988,4,0,all,18-20 yrs,214,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,128.95217895507812 +1988,4,0,MVA,18-20 yrs,106,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,63.873504638671875 +1988,4,0,suicide,18-20 yrs,41,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,24.70578956604004 +1988,4,0,homicide,18-20 yrs,14,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,8.436123847961426 +1988,4,0,other external,18-20 yrs,25,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,15.064506530761719 +1988,4,0,internal,18-20 yrs,28,165953,19.00166893005371,0,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,16.87224769592285 +1988,4,0,all,21-24 yrs,312,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,136.24632263183594 +1988,4,0,MVA,21-24 yrs,115,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,50.218997955322266 +1988,4,0,suicide,21-24 yrs,69,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,30.131399154663086 +1988,4,0,homicide,21-24 yrs,38,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,16.594104766845703 +1988,4,0,other external,21-24 yrs,36,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,15.72072982788086 +1988,4,0,internal,21-24 yrs,54,228997,22.553417205810547,1,0.13524936139583588,1.6399999856948853,0.41999998688697815,0.8799999952316284,2.940000057220459,23.58109474182129 +1989,4,0,MVA,15-17 yrs,41,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,27.529897689819336 +1989,4,0,suicide,15-17 yrs,26,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,17.457983016967773 +1989,4,0,homicide,15-17 yrs,6,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,4.0287652015686035 +1989,4,0,other external,15-17 yrs,19,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,12.757757186889648 +1989,4,0,internal,15-17 yrs,24,148929,16.022546768188477,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,16.115060806274414 +1989,4,0,all,18-20 yrs,227,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,131.50881958007812 +1989,4,0,MVA,18-20 yrs,93,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,53.8780632019043 +1989,4,0,suicide,18-20 yrs,32,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,18.53868865966797 +1989,4,0,homicide,18-20 yrs,34,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,19.697355270385742 +1989,4,0,other external,18-20 yrs,35,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,20.276689529418945 +1989,4,0,internal,18-20 yrs,33,172612,19.00164031982422,0,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,19.11802101135254 +1989,4,0,all,21-24 yrs,320,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,142.2835693359375 +1989,4,0,MVA,21-24 yrs,98,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,43.5743408203125 +1989,4,0,suicide,21-24 yrs,55,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,24.454986572265625 +1989,4,0,homicide,21-24 yrs,51,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,22.676443099975586 +1989,4,0,other external,21-24 yrs,45,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,20.008625030517578 +1989,4,0,internal,21-24 yrs,71,224903,22.538450241088867,1,0.12903225421905518,1.6799999475479126,0.36000001430511475,0.8500000238418579,2.890000104904175,31.56916618347168 +1990,4,0,MVA,15-17 yrs,43,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,28.667430877685547 +1990,4,0,suicide,15-17 yrs,22,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,14.667057991027832 +1990,4,0,homicide,15-17 yrs,16,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,10.666951179504395 +1990,4,0,other external,15-17 yrs,19,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.667004585266113 +1990,4,0,internal,15-17 yrs,18,149996,15.99155330657959,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.000320434570312 +1990,4,0,all,18-20 yrs,201,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,117.47309875488281 +1990,4,0,MVA,18-20 yrs,84,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,49.09323501586914 +1990,4,0,suicide,18-20 yrs,36,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,21.039958953857422 +1990,4,0,homicide,18-20 yrs,28,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,16.364412307739258 +1990,4,0,other external,18-20 yrs,22,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,12.857752799987793 +1990,4,0,internal,18-20 yrs,31,171103,19.042827606201172,0,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,18.11774253845215 +1990,4,0,all,21-24 yrs,292,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,132.52847290039062 +1990,4,0,MVA,21-24 yrs,114,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,51.740570068359375 +1990,4,0,suicide,21-24 yrs,56,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,25.416419982910156 +1990,4,0,homicide,21-24 yrs,42,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,19.062314987182617 +1990,4,0,other external,21-24 yrs,34,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,15.431398391723633 +1990,4,0,internal,21-24 yrs,46,220330,22.508804321289062,1,0.12241774797439575,1.590000033378601,0.3700000047683716,0.800000011920929,2.7699999809265137,20.877775192260742 +1991,4,0,MVA,15-17 yrs,48,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,31.706398010253906 +1991,4,0,suicide,15-17 yrs,29,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,19.155948638916016 +1991,4,0,homicide,15-17 yrs,24,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,15.853199005126953 +1991,4,0,other external,15-17 yrs,21,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,13.871549606323242 +1991,4,0,internal,15-17 yrs,27,151389,15.995508193969727,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,17.834848403930664 +1991,4,0,all,18-20 yrs,198,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,119.91569519042969 +1991,4,0,MVA,18-20 yrs,65,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,39.36626434326172 +1991,4,0,suicide,18-20 yrs,37,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,22.408489227294922 +1991,4,0,homicide,18-20 yrs,46,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,27.859201431274414 +1991,4,0,other external,18-20 yrs,24,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,14.535235404968262 +1991,4,0,internal,18-20 yrs,26,165116,19.064239501953125,0,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,15.746505737304688 +1991,4,0,all,21-24 yrs,264,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,118.31720733642578 +1991,4,0,MVA,21-24 yrs,71,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,31.820158004760742 +1991,4,0,suicide,21-24 yrs,53,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,23.753074645996094 +1991,4,0,homicide,21-24 yrs,42,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,18.823192596435547 +1991,4,0,other external,21-24 yrs,33,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,14.789650917053223 +1991,4,0,internal,21-24 yrs,65,223129,22.477737426757812,1,0.11747430264949799,1.5800000429153442,0.3499999940395355,0.7799999713897705,2.7100000381469727,29.13113021850586 +1992,4,0,MVA,15-17 yrs,36,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,22.993350982666016 +1992,4,0,suicide,15-17 yrs,18,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,11.496675491333008 +1992,4,0,homicide,15-17 yrs,24,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,15.328900337219238 +1992,4,0,other external,15-17 yrs,20,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,12.774084091186523 +1992,4,0,internal,15-17 yrs,22,156567,15.995094299316406,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,14.051492691040039 +1992,4,0,all,18-20 yrs,172,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,107.58943176269531 +1992,4,0,MVA,18-20 yrs,59,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,36.905677795410156 +1992,4,0,suicide,18-20 yrs,23,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,14.386959075927734 +1992,4,0,homicide,18-20 yrs,38,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,23.769758224487305 +1992,4,0,other external,18-20 yrs,25,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,15.637999534606934 +1992,4,0,internal,18-20 yrs,27,159867,19.040203094482422,0,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,16.8890380859375 +1992,4,0,all,21-24 yrs,287,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,124.83688354492188 +1992,4,0,MVA,21-24 yrs,90,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,39.147457122802734 +1992,4,0,suicide,21-24 yrs,50,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,21.748586654663086 +1992,4,0,homicide,21-24 yrs,48,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,20.878643035888672 +1992,4,0,other external,21-24 yrs,40,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,17.398868560791016 +1992,4,0,internal,21-24 yrs,59,229900,22.466415405273438,1,0.11404133588075638,1.5800000429153442,0.3100000023841858,0.800000011920929,2.690000057220459,25.663331985473633 +1993,4,0,MVA,15-17 yrs,45,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,27.74763298034668 +1993,4,0,suicide,15-17 yrs,23,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,14.182123184204102 +1993,4,0,homicide,15-17 yrs,23,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,14.182123184204102 +1993,4,0,other external,15-17 yrs,18,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,11.099052429199219 +1993,4,0,internal,15-17 yrs,29,162176,15.986335754394531,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,17.881807327270508 +1993,4,0,all,18-20 yrs,223,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,137.9054412841797 +1993,4,0,MVA,18-20 yrs,67,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,41.433475494384766 +1993,4,0,suicide,18-20 yrs,51,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,31.53891372680664 +1993,4,0,homicide,18-20 yrs,47,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,29.06527328491211 +1993,4,0,other external,18-20 yrs,27,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,16.697071075439453 +1993,4,0,internal,18-20 yrs,31,161705,19.01003074645996,0,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,19.170711517333984 +1993,4,0,all,21-24 yrs,277,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,118.6280288696289 +1993,4,0,MVA,21-24 yrs,77,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,32.97602081298828 +1993,4,0,suicide,21-24 yrs,62,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,26.552122116088867 +1993,4,0,homicide,21-24 yrs,44,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,18.843441009521484 +1993,4,0,other external,21-24 yrs,31,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,13.276061058044434 +1993,4,0,internal,21-24 yrs,63,233503,22.507633209228516,1,0.11072663962841034,1.5800000429153442,0.27000001072883606,0.7599999904632568,2.619999885559082,26.98038101196289 +1994,4,0,MVA,15-17 yrs,56,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,33.0177001953125 +1994,4,0,suicide,15-17 yrs,21,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,12.381637573242188 +1994,4,0,homicide,15-17 yrs,31,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,18.27765464782715 +1994,4,0,other external,15-17 yrs,12,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,7.075221538543701 +1994,4,0,internal,15-17 yrs,27,169606,15.997960090637207,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,15.919248580932617 +1994,4,0,all,18-20 yrs,231,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,136.68557739257812 +1994,4,0,MVA,18-20 yrs,66,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,39.05302429199219 +1994,4,0,suicide,18-20 yrs,58,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,34.3193244934082 +1994,4,0,homicide,18-20 yrs,53,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,31.360761642456055 +1994,4,0,other external,18-20 yrs,26,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,15.38452434539795 +1994,4,0,internal,18-20 yrs,28,169001,19.012958526611328,0,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,16.567949295043945 +1994,4,0,all,21-24 yrs,347,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,146.14157104492188 +1994,4,0,MVA,21-24 yrs,103,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,43.37919616699219 +1994,4,0,suicide,21-24 yrs,82,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,34.53489685058594 +1994,4,0,homicide,21-24 yrs,69,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,29.059850692749023 +1994,4,0,other external,21-24 yrs,47,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,19.794391632080078 +1994,4,0,internal,21-24 yrs,46,237441,22.5521240234375,1,0.1079622134566307,1.5199999809265137,0.28999999165534973,0.699999988079071,2.5,19.373233795166016 +1995,4,0,MVA,15-17 yrs,60,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,33.1473388671875 +1995,4,0,suicide,15-17 yrs,26,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,14.363847732543945 +1995,4,0,homicide,15-17 yrs,46,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,25.412960052490234 +1995,4,0,other external,15-17 yrs,29,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,16.02121353149414 +1995,4,0,internal,15-17 yrs,26,181010,15.978415489196777,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,14.363847732543945 +1995,4,0,all,18-20 yrs,232,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,130.59019470214844 +1995,4,0,MVA,18-20 yrs,74,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,41.65376663208008 +1995,4,0,suicide,18-20 yrs,31,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,17.44955062866211 +1995,4,0,homicide,18-20 yrs,63,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,35.46199035644531 +1995,4,0,other external,18-20 yrs,28,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,15.760885238647461 +1995,4,0,internal,18-20 yrs,36,177655,19.01148796081543,0,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,20.263994216918945 +1995,4,0,all,21-24 yrs,353,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,149.55218505859375 +1995,4,0,MVA,21-24 yrs,107,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,45.33168411254883 +1995,4,0,suicide,21-24 yrs,55,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,23.301332473754883 +1995,4,0,homicide,21-24 yrs,69,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,29.232582092285156 +1995,4,0,other external,21-24 yrs,54,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,22.87767219543457 +1995,4,0,internal,21-24 yrs,68,236038,22.55314826965332,1,0.10498687624931335,1.4700000286102295,0.28999999165534973,0.6800000071525574,2.440000057220459,28.80891990661621 +1996,4,0,MVA,15-17 yrs,55,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,28.820558547973633 +1996,4,0,suicide,15-17 yrs,25,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,13.10025405883789 +1996,4,0,homicide,15-17 yrs,29,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,15.196293830871582 +1996,4,0,other external,15-17 yrs,16,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,8.384161949157715 +1996,4,0,internal,15-17 yrs,24,190836,15.985799789428711,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,12.57624340057373 +1996,4,0,all,18-20 yrs,246,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,134.2355194091797 +1996,4,0,MVA,18-20 yrs,71,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,38.74277114868164 +1996,4,0,suicide,18-20 yrs,44,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.00960350036621 +1996,4,0,homicide,18-20 yrs,56,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,30.55767822265625 +1996,4,0,other external,18-20 yrs,34,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,18.552875518798828 +1996,4,0,internal,18-20 yrs,41,183260,19.005374908447266,0,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,22.37258529663086 +1996,4,0,all,21-24 yrs,322,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,137.67626953125 +1996,4,0,MVA,21-24 yrs,89,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,38.05337905883789 +1996,4,0,suicide,21-24 yrs,66,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,28.219358444213867 +1996,4,0,homicide,21-24 yrs,58,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.798830032348633 +1996,4,0,other external,21-24 yrs,51,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,21.80586814880371 +1996,4,0,internal,21-24 yrs,58,233882,22.50218963623047,1,0.10197578370571136,1.5199999809265137,0.33000001311302185,0.7300000190734863,2.5799999237060547,24.798830032348633 +1970,5,0,MVA,15-17 yrs,37,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,32.36274337768555 +1970,5,0,suicide,15-17 yrs,4,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,3.4986748695373535 +1970,5,0,homicide,15-17 yrs,9,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,7.872018337249756 +1970,5,0,other external,15-17 yrs,31,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,27.114730834960938 +1970,5,0,internal,15-17 yrs,30,114329,15.977258682250977,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,26.240060806274414 +1970,5,0,all,18-20 yrs,166,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,167.96688842773438 +1970,5,0,MVA,18-20 yrs,72,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,72.85311126708984 +1970,5,0,suicide,18-20 yrs,14,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,14.165882110595703 +1970,5,0,homicide,18-20 yrs,14,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,14.165882110595703 +1970,5,0,other external,18-20 yrs,36,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,36.42655563354492 +1970,5,0,internal,18-20 yrs,30,98829,18.949630737304688,0,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,30.3554630279541 +1970,5,0,all,21-24 yrs,168,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,149.58729553222656 +1970,5,0,MVA,21-24 yrs,61,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,54.31443786621094 +1970,5,0,suicide,21-24 yrs,9,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,8.013605117797852 +1970,5,0,homicide,21-24 yrs,17,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,15.136810302734375 +1970,5,0,other external,21-24 yrs,32,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,28.49281883239746 +1970,5,0,internal,21-24 yrs,49,112309,22.404972076416016,1,0.4156967103481293,0.7099999785423279,0.12999999523162842,0.5899999737739563,1.4299999475479126,43.6296272277832 +1971,5,0,MVA,15-17 yrs,47,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,39.66613006591797 +1971,5,0,suicide,15-17 yrs,3,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,2.5318806171417236 +1971,5,0,homicide,15-17 yrs,5,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,4.21980094909668 +1971,5,0,other external,15-17 yrs,37,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,31.22652816772461 +1971,5,0,internal,15-17 yrs,18,118489,15.99081802368164,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,15.191283226013184 +1971,5,0,all,18-20 yrs,166,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,162.7020263671875 +1971,5,0,MVA,18-20 yrs,74,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,72.52982330322266 +1971,5,0,suicide,18-20 yrs,6,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,5.880796432495117 +1971,5,0,homicide,18-20 yrs,15,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,14.701991081237793 +1971,5,0,other external,18-20 yrs,32,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,31.364246368408203 +1971,5,0,internal,18-20 yrs,39,102027,18.975065231323242,0,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,38.22517395019531 +1971,5,0,all,21-24 yrs,205,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,162.45472717285156 +1971,5,0,MVA,21-24 yrs,82,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,64.98189544677734 +1971,5,0,suicide,21-24 yrs,12,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,9.50954532623291 +1971,5,0,homicide,21-24 yrs,16,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,12.679393768310547 +1971,5,0,other external,21-24 yrs,48,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,38.03818130493164 +1971,5,0,internal,21-24 yrs,47,126189,22.53006935119629,1,0.39824768900871277,0.7699999809265137,0.14000000059604645,0.5600000023841858,1.4700000286102295,37.24571990966797 +1972,5,0,MVA,15-17 yrs,72,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,59.18181228637695 +1972,5,0,suicide,15-17 yrs,4,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.2878785133361816 +1972,5,0,homicide,15-17 yrs,4,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.2878785133361816 +1972,5,0,other external,15-17 yrs,42,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,34.52272415161133 +1972,5,0,internal,15-17 yrs,26,121659,15.986231803894043,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,21.3712100982666 +1972,5,0,all,18-20 yrs,206,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,194.77879333496094 +1972,5,0,MVA,18-20 yrs,98,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,92.66175842285156 +1972,5,0,suicide,18-20 yrs,10,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,9.455281257629395 +1972,5,0,homicide,18-20 yrs,4,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,3.7821125984191895 +1972,5,0,other external,18-20 yrs,46,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,43.494293212890625 +1972,5,0,internal,18-20 yrs,48,105761,18.973987579345703,0,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,45.38534927368164 +1972,5,0,all,21-24 yrs,200,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,153.6039276123047 +1972,5,0,MVA,21-24 yrs,66,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,50.68929672241211 +1972,5,0,suicide,21-24 yrs,6,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,4.608118057250977 +1972,5,0,homicide,21-24 yrs,24,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,18.432472229003906 +1972,5,0,other external,21-24 yrs,74,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,56.83345413208008 +1972,5,0,internal,21-24 yrs,30,130205,22.49545669555664,1,0.3858620226383209,0.7699999809265137,0.12999999523162842,0.5699999928474426,1.4700000286102295,23.040590286254883 +1973,5,0,MVA,15-17 yrs,49,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,39.4293212890625 +1973,5,0,suicide,15-17 yrs,2,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,1.6093599796295166 +1973,5,0,homicide,15-17 yrs,5,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,4.02340030670166 +1973,5,0,other external,15-17 yrs,38,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,30.57784080505371 +1973,5,0,internal,15-17 yrs,25,124273,15.990094184875488,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,20.117000579833984 +1973,5,0,all,18-20 yrs,181,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,167.58172607421875 +1973,5,0,MVA,18-20 yrs,74,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,68.51407623291016 +1973,5,0,suicide,18-20 yrs,8,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,7.406927108764648 +1973,5,0,homicide,18-20 yrs,8,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,7.406927108764648 +1973,5,0,other external,18-20 yrs,48,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,44.44156265258789 +1973,5,0,internal,18-20 yrs,43,108007,18.961631774902344,0,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,39.812232971191406 +1973,5,0,all,21-24 yrs,205,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,153.992919921875 +1973,5,0,MVA,21-24 yrs,68,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,51.0805778503418 +1973,5,0,suicide,21-24 yrs,9,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,6.760664939880371 +1973,5,0,homicide,21-24 yrs,27,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,20.28199577331543 +1973,5,0,other external,21-24 yrs,50,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,37.55924987792969 +1973,5,0,internal,21-24 yrs,51,133123,22.499929428100586,1,0.3632664680480957,0.8199999928474426,0.12999999523162842,0.6100000143051147,1.559999942779541,38.3104362487793 +1974,5,0,MVA,15-17 yrs,46,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,36.35386657714844 +1974,5,0,suicide,15-17 yrs,6,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,4.7418084144592285 +1974,5,0,homicide,15-17 yrs,9,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,7.112712860107422 +1974,5,0,other external,15-17 yrs,50,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,39.515071868896484 +1974,5,0,internal,15-17 yrs,31,126534,15.997684478759766,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,24.499343872070312 +1974,5,0,all,18-20 yrs,135,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,119.61934661865234 +1974,5,0,MVA,18-20 yrs,43,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,38.100975036621094 +1974,5,0,suicide,18-20 yrs,10,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,8.860692024230957 +1974,5,0,homicide,18-20 yrs,19,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,16.835315704345703 +1974,5,0,other external,18-20 yrs,30,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,26.582077026367188 +1974,5,0,internal,18-20 yrs,33,112858,18.97901725769043,0,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,29.240283966064453 +1974,5,0,all,21-24 yrs,186,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,138.18618774414062 +1974,5,0,MVA,21-24 yrs,48,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,35.660953521728516 +1974,5,0,suicide,21-24 yrs,11,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,8.17230224609375 +1974,5,0,homicide,21-24 yrs,25,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,18.573413848876953 +1974,5,0,other external,21-24 yrs,42,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,31.20333480834961 +1974,5,0,internal,21-24 yrs,60,134601,22.496891021728516,1,0.32716089487075806,0.8899999856948853,0.12999999523162842,0.6499999761581421,1.659999966621399,44.57619094848633 +1975,5,0,MVA,15-17 yrs,39,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,30.228105545043945 +1975,5,0,suicide,15-17 yrs,7,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,5.425557613372803 +1975,5,0,homicide,15-17 yrs,5,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,3.8753981590270996 +1975,5,0,other external,15-17 yrs,43,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,33.328426361083984 +1975,5,0,internal,15-17 yrs,21,129019,15.994837760925293,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,16.27667236328125 +1975,5,0,all,18-20 yrs,175,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,148.94630432128906 +1975,5,0,MVA,18-20 yrs,61,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,51.91843032836914 +1975,5,0,suicide,18-20 yrs,13,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,11.064582824707031 +1975,5,0,homicide,18-20 yrs,22,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,18.724679946899414 +1975,5,0,other external,18-20 yrs,50,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,42.556087493896484 +1975,5,0,internal,18-20 yrs,29,117492,18.975709915161133,0,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,24.682531356811523 +1975,5,0,all,21-24 yrs,201,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,144.12527465820312 +1975,5,0,MVA,21-24 yrs,68,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,48.7588005065918 +1975,5,0,suicide,21-24 yrs,15,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,10.75561809539795 +1975,5,0,homicide,21-24 yrs,21,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,15.057865142822266 +1975,5,0,other external,21-24 yrs,52,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,37.2861442565918 +1975,5,0,internal,21-24 yrs,45,139462,22.486957550048828,1,0.29979613423347473,0.8899999856948853,0.11999999731779099,0.6299999952316284,1.6399999856948853,32.26685333251953 +1976,5,0,MVA,15-17 yrs,37,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,28.779216766357422 +1976,5,0,suicide,15-17 yrs,10,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,7.778166770935059 +1976,5,0,homicide,15-17 yrs,6,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,4.666900157928467 +1976,5,0,other external,15-17 yrs,33,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,25.667949676513672 +1976,5,0,internal,15-17 yrs,24,128565,15.993481636047363,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,18.667600631713867 +1976,5,0,all,18-20 yrs,163,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,137.48776245117188 +1976,5,0,MVA,18-20 yrs,63,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,53.13944625854492 +1976,5,0,suicide,18-20 yrs,17,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,14.339215278625488 +1976,5,0,homicide,18-20 yrs,15,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,12.65224838256836 +1976,5,0,other external,18-20 yrs,31,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,26.147981643676758 +1976,5,0,internal,18-20 yrs,37,118556,18.981966018676758,0,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,31.208879470825195 +1976,5,0,all,21-24 yrs,188,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,133.51513671875 +1976,5,0,MVA,21-24 yrs,67,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,47.582523345947266 +1976,5,0,suicide,21-24 yrs,15,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,10.652803421020508 +1976,5,0,homicide,21-24 yrs,22,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,15.624112129211426 +1976,5,0,other external,21-24 yrs,47,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,33.3787841796875 +1976,5,0,internal,21-24 yrs,37,140808,22.470022201538086,1,0.2834627628326416,0.8600000143051147,0.11999999731779099,0.6700000166893005,1.659999966621399,26.27691650390625 +1977,5,0,MVA,15-17 yrs,41,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,31.63604736328125 +1977,5,0,suicide,15-17 yrs,7,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,5.401276111602783 +1977,5,0,homicide,15-17 yrs,6,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,4.629665374755859 +1977,5,0,other external,15-17 yrs,40,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,30.86443519592285 +1977,5,0,internal,15-17 yrs,25,129599,15.993888854980469,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,19.290271759033203 +1977,5,0,all,18-20 yrs,135,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,111.52692413330078 +1977,5,0,MVA,18-20 yrs,63,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,52.0458984375 +1977,5,0,suicide,18-20 yrs,13,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,10.739629745483398 +1977,5,0,homicide,18-20 yrs,9,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,7.435128688812256 +1977,5,0,other external,18-20 yrs,32,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,26.436012268066406 +1977,5,0,internal,18-20 yrs,18,121047,18.992002487182617,0,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,14.870257377624512 +1977,5,0,all,21-24 yrs,211,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,146.37733459472656 +1977,5,0,MVA,21-24 yrs,73,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,50.64239501953125 +1977,5,0,suicide,21-24 yrs,29,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,20.11821174621582 +1977,5,0,homicide,21-24 yrs,21,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,14.568360328674316 +1977,5,0,other external,21-24 yrs,39,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,27.055526733398438 +1977,5,0,internal,21-24 yrs,49,144148,22.460020065307617,1,0.2661556601524353,0.9200000166893005,0.10000000149011612,0.6299999952316284,1.649999976158142,33.99283981323242 +1978,5,0,MVA,15-17 yrs,42,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,32.05543899536133 +1978,5,0,suicide,15-17 yrs,4,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,3.052899122238159 +1978,5,0,homicide,15-17 yrs,8,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,6.105798244476318 +1978,5,0,other external,15-17 yrs,26,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,19.843843460083008 +1978,5,0,internal,15-17 yrs,31,131023,15.991581916809082,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,23.65996742248535 +1978,5,0,all,18-20 yrs,173,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,141.57467651367188 +1978,5,0,MVA,18-20 yrs,79,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,64.64970397949219 +1978,5,0,suicide,18-20 yrs,12,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,9.820208549499512 +1978,5,0,homicide,18-20 yrs,15,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,12.275259971618652 +1978,5,0,other external,18-20 yrs,39,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,31.915678024291992 +1978,5,0,internal,18-20 yrs,28,122197,18.990196228027344,0,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,22.913820266723633 +1978,5,0,all,21-24 yrs,210,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,140.99636840820312 +1978,5,0,MVA,21-24 yrs,68,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,45.655967712402344 +1978,5,0,suicide,21-24 yrs,25,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,16.785282135009766 +1978,5,0,homicide,21-24 yrs,31,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,20.813751220703125 +1978,5,0,other external,21-24 yrs,52,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,34.913387298583984 +1978,5,0,internal,21-24 yrs,34,148940,22.465442657470703,1,0.24737779796123505,0.9700000286102295,0.10999999940395355,0.7300000190734863,1.8200000524520874,22.827983856201172 +1979,5,0,MVA,15-17 yrs,53,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,40.464500427246094 +1979,5,0,suicide,15-17 yrs,4,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,3.053924560546875 +1979,5,0,homicide,15-17 yrs,9,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,6.871330738067627 +1979,5,0,other external,15-17 yrs,24,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,18.32354736328125 +1979,5,0,internal,15-17 yrs,19,130979,15.996602058410645,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,14.506142616271973 +1979,5,0,all,18-20 yrs,168,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,136.3868865966797 +1979,5,0,MVA,18-20 yrs,70,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,56.8278694152832 +1979,5,0,suicide,18-20 yrs,14,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,11.36557388305664 +1979,5,0,homicide,18-20 yrs,14,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,11.36557388305664 +1979,5,0,other external,18-20 yrs,39,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,31.66124153137207 +1979,5,0,internal,18-20 yrs,31,123179,18.989843368530273,0,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,25.166627883911133 +1979,5,0,all,21-24 yrs,188,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,124.4382095336914 +1979,5,0,MVA,21-24 yrs,50,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,33.09526824951172 +1979,5,0,suicide,21-24 yrs,24,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,15.88572883605957 +1979,5,0,homicide,21-24 yrs,33,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,21.842876434326172 +1979,5,0,other external,21-24 yrs,38,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,25.152402877807617 +1979,5,0,internal,21-24 yrs,43,151079,22.47144889831543,1,0.22216297686100006,0.9300000071525574,0.10000000149011612,0.5699999928474426,1.600000023841858,28.461931228637695 +1980,5,0,MVA,15-17 yrs,57,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,44.27149963378906 +1980,5,0,suicide,15-17 yrs,9,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,6.990236759185791 +1980,5,0,homicide,15-17 yrs,9,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,6.990236759185791 +1980,5,0,other external,15-17 yrs,30,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,23.300790786743164 +1980,5,0,internal,15-17 yrs,26,128751,16.01544761657715,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,20.19401741027832 +1980,5,0,all,18-20 yrs,173,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,137.5155029296875 +1980,5,0,MVA,18-20 yrs,73,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,58.026771545410156 +1980,5,0,suicide,18-20 yrs,16,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,12.718196868896484 +1980,5,0,homicide,18-20 yrs,17,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,13.513083457946777 +1980,5,0,other external,18-20 yrs,40,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,31.79549217224121 +1980,5,0,internal,18-20 yrs,27,125804,18.991382598876953,0,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,21.461956024169922 +1980,5,0,all,21-24 yrs,210,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,136.8693389892578 +1980,5,0,MVA,21-24 yrs,77,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,50.1854248046875 +1980,5,0,suicide,21-24 yrs,17,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,11.079898834228516 +1980,5,0,homicide,21-24 yrs,43,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,28.02562713623047 +1980,5,0,other external,21-24 yrs,35,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,22.81155776977539 +1980,5,0,internal,21-24 yrs,38,153431,22.477510452270508,1,0.19574066996574402,1,0.11999999731779099,0.6899999976158142,1.809999942779541,24.76683235168457 +1981,5,0,MVA,15-17 yrs,48,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,39.19007110595703 +1981,5,0,suicide,15-17 yrs,14,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,11.430438041687012 +1981,5,0,homicide,15-17 yrs,6,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,4.898758888244629 +1981,5,0,other external,15-17 yrs,14,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,11.430438041687012 +1981,5,0,internal,15-17 yrs,10,122480,16.043476104736328,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,8.16459846496582 +1981,5,0,all,18-20 yrs,122,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,95.88255310058594 +1981,5,0,MVA,18-20 yrs,56,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,44.011661529541016 +1981,5,0,suicide,18-20 yrs,12,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,9.431070327758789 +1981,5,0,homicide,18-20 yrs,6,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,4.7155351638793945 +1981,5,0,other external,18-20 yrs,28,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,22.005830764770508 +1981,5,0,internal,18-20 yrs,20,127239,18.997438430786133,0,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,15.718451499938965 +1981,5,0,all,21-24 yrs,222,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,143.60009765625 +1981,5,0,MVA,21-24 yrs,78,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,50.45408630371094 +1981,5,0,suicide,21-24 yrs,26,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,16.818029403686523 +1981,5,0,homicide,21-24 yrs,36,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,23.286500930786133 +1981,5,0,other external,21-24 yrs,30,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,19.405418395996094 +1981,5,0,internal,21-24 yrs,52,154596,22.484249114990234,1,0.17743709683418274,1.059999942779541,0.11999999731779099,0.6800000071525574,1.8700000047683716,33.63605880737305 +1982,5,0,MVA,15-17 yrs,34,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,29.55673599243164 +1982,5,0,suicide,15-17 yrs,4,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,3.4772629737854004 +1982,5,0,homicide,15-17 yrs,6,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,5.21589469909668 +1982,5,0,other external,15-17 yrs,18,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,15.647684097290039 +1982,5,0,internal,15-17 yrs,16,115033,16.04391860961914,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,13.909051895141602 +1982,5,0,all,18-20 yrs,156,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,122.50186157226562 +1982,5,0,MVA,18-20 yrs,64,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,50.25717544555664 +1982,5,0,suicide,18-20 yrs,18,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,14.134830474853516 +1982,5,0,homicide,18-20 yrs,22,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,17.275903701782227 +1982,5,0,other external,18-20 yrs,22,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,17.275903701782227 +1982,5,0,internal,18-20 yrs,30,127345,19.000957489013672,0,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,23.55805015563965 +1982,5,0,all,21-24 yrs,190,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,122.0828628540039 +1982,5,0,MVA,21-24 yrs,58,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,37.267398834228516 +1982,5,0,suicide,21-24 yrs,26,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,16.70607566833496 +1982,5,0,homicide,21-24 yrs,14,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,8.995579719543457 +1982,5,0,other external,21-24 yrs,48,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,30.84198570251465 +1982,5,0,internal,21-24 yrs,44,155632,22.473764419555664,1,0.16714023053646088,1.0299999713897705,0.11999999731779099,0.6299999952316284,1.7799999713897705,28.271820068359375 +1983,5,0,MVA,15-17 yrs,37,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,33.77823257446289 +1983,5,0,suicide,15-17 yrs,12,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,10.95510196685791 +1983,5,0,homicide,15-17 yrs,0,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,0 +1983,5,0,other external,15-17 yrs,8,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,7.303401470184326 +1983,5,0,internal,15-17 yrs,20,109538,16.024028778076172,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,18.258502960205078 +1983,5,0,all,18-20 yrs,139,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,110.20987701416016 +1983,5,0,MVA,18-20 yrs,69,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,54.708499908447266 +1983,5,0,suicide,18-20 yrs,18,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,14.271781921386719 +1983,5,0,homicide,18-20 yrs,10,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,7.928768157958984 +1983,5,0,other external,18-20 yrs,23,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,18.23616600036621 +1983,5,0,internal,18-20 yrs,19,126123,19.020139694213867,0,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,15.064659118652344 +1983,5,0,all,21-24 yrs,197,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,125.13736724853516 +1983,5,0,MVA,21-24 yrs,78,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,49.546775817871094 +1983,5,0,suicide,21-24 yrs,20,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,12.704300880432129 +1983,5,0,homicide,21-24 yrs,28,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,17.786022186279297 +1983,5,0,other external,21-24 yrs,30,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,19.05645179748535 +1983,5,0,internal,21-24 yrs,41,157427,22.470382690429688,1,0.16193807125091553,1.0299999713897705,0.12999999523162842,0.6299999952316284,1.7799999713897705,26.0438175201416 +1984,5,0,MVA,15-17 yrs,35,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,32.22658157348633 +1984,5,0,suicide,15-17 yrs,12,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,11.049113273620605 +1984,5,0,homicide,15-17 yrs,3,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,2.7622783184051514 +1984,5,0,other external,15-17 yrs,16,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.73215103149414 +1984,5,0,internal,15-17 yrs,23,108606,16.006933212280273,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,21.177467346191406 +1984,5,0,all,18-20 yrs,136,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,112.32150268554688 +1984,5,0,MVA,18-20 yrs,74,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,61.116111755371094 +1984,5,0,suicide,18-20 yrs,16,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,13.21429443359375 +1984,5,0,homicide,18-20 yrs,6,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,4.955360412597656 +1984,5,0,other external,18-20 yrs,18,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.866081237792969 +1984,5,0,internal,18-20 yrs,22,121081,19.045969009399414,0,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,18.169654846191406 +1984,5,0,all,21-24 yrs,182,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,114.37908172607422 +1984,5,0,MVA,21-24 yrs,66,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,41.47813034057617 +1984,5,0,suicide,21-24 yrs,23,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,14.454500198364258 +1984,5,0,homicide,21-24 yrs,24,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,15.082956314086914 +1984,5,0,other external,21-24 yrs,29,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,18.225238800048828 +1984,5,0,internal,21-24 yrs,40,159120,22.470123291015625,1,0.1552361100912094,1.0199999809265137,0.11999999731779099,0.6399999856948853,1.7799999713897705,25.138259887695312 +1985,5,0,MVA,15-17 yrs,47,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,42.774715423583984 +1985,5,0,suicide,15-17 yrs,7,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,6.370702266693115 +1985,5,0,homicide,15-17 yrs,4,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,3.6404011249542236 +1985,5,0,other external,15-17 yrs,22,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,20.022207260131836 +1985,5,0,internal,15-17 yrs,16,109878,15.992018699645996,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,14.561604499816895 +1985,5,0,all,18-20 yrs,125,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,109.48489379882812 +1985,5,0,MVA,18-20 yrs,58,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,50.80099105834961 +1985,5,0,suicide,18-20 yrs,12,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,10.510549545288086 +1985,5,0,homicide,18-20 yrs,13,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,11.386428833007812 +1985,5,0,other external,18-20 yrs,21,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,18.393463134765625 +1985,5,0,internal,18-20 yrs,21,114171,19.042558670043945,0,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,18.393463134765625 +1985,5,0,all,21-24 yrs,188,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,118.12532806396484 +1985,5,0,MVA,21-24 yrs,60,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,37.6995735168457 +1985,5,0,suicide,21-24 yrs,31,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,19.478113174438477 +1985,5,0,homicide,21-24 yrs,20,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,12.566524505615234 +1985,5,0,other external,21-24 yrs,35,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,21.991416931152344 +1985,5,0,internal,21-24 yrs,42,159153,22.481103897094727,1,0.14989806711673737,1.0299999713897705,0.12999999523162842,0.5799999833106995,1.75,26.389699935913086 +1986,5,0,MVA,15-17 yrs,47,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,41.70512008666992 +1986,5,0,suicide,15-17 yrs,9,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,7.986086368560791 +1986,5,0,homicide,15-17 yrs,4,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,3.5493717193603516 +1986,5,0,other external,15-17 yrs,15,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,13.310144424438477 +1986,5,0,internal,15-17 yrs,20,112696,15.98781681060791,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.746858596801758 +1986,5,0,all,18-20 yrs,135,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,124.3265609741211 +1986,5,0,MVA,18-20 yrs,67,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,61.70281219482422 +1986,5,0,suicide,18-20 yrs,7,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,6.446562767028809 +1986,5,0,homicide,18-20 yrs,20,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,18.418750762939453 +1986,5,0,other external,18-20 yrs,20,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,18.418750762939453 +1986,5,0,internal,18-20 yrs,21,108585,19.01854705810547,0,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,19.33968734741211 +1986,5,0,all,21-24 yrs,200,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,128.19773864746094 +1986,5,0,MVA,21-24 yrs,75,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,48.07415008544922 +1986,5,0,suicide,21-24 yrs,27,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.30669403076172 +1986,5,0,homicide,21-24 yrs,28,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,17.947683334350586 +1986,5,0,other external,21-24 yrs,36,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,23.075592041015625 +1986,5,0,internal,21-24 yrs,34,156009,22.500093460083008,1,0.14716270565986633,1.059999942779541,0.09000000357627869,0.47999998927116394,1.6299999952316284,21.793615341186523 +1987,5,0,MVA,15-17 yrs,57,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,50.3769416809082 +1987,5,0,suicide,15-17 yrs,12,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,10.605671882629395 +1987,5,0,homicide,15-17 yrs,4,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,3.535224199295044 +1987,5,0,other external,15-17 yrs,20,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,17.67612075805664 +1987,5,0,internal,15-17 yrs,24,113147,16.01590919494629,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,21.21134376525879 +1987,5,0,all,18-20 yrs,143,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,133.33209228515625 +1987,5,0,MVA,18-20 yrs,74,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,68.99702453613281 +1987,5,0,suicide,18-20 yrs,8,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,7.459137916564941 +1987,5,0,homicide,18-20 yrs,9,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,8.39153003692627 +1987,5,0,other external,18-20 yrs,22,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,20.51262855529785 +1987,5,0,internal,18-20 yrs,30,107251,18.999664306640625,0,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,27.97176742553711 +1987,5,0,all,21-24 yrs,161,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,107.6303939819336 +1987,5,0,MVA,21-24 yrs,71,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,47.46433639526367 +1987,5,0,suicide,21-24 yrs,22,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,14.707258224487305 +1987,5,0,homicide,21-24 yrs,18,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,12.033211708068848 +1987,5,0,other external,21-24 yrs,17,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,11.364700317382812 +1987,5,0,internal,21-24 yrs,33,149586,22.53661346435547,1,0.22007042169570923,1.0800000429153442,0.10999999940395355,0.5299999713897705,1.7100000381469727,22.060888290405273 +1988,5,0,MVA,15-17 yrs,45,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,40.57819366455078 +1988,5,0,suicide,15-17 yrs,15,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.5260648727417 +1988,5,0,homicide,15-17 yrs,6,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,5.410425662994385 +1988,5,0,other external,15-17 yrs,15,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.5260648727417 +1988,5,0,internal,15-17 yrs,26,110897,16.039928436279297,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,23.445178985595703 +1988,5,0,all,18-20 yrs,129,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,120.05472564697266 +1988,5,0,MVA,18-20 yrs,62,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,57.70071792602539 +1988,5,0,suicide,18-20 yrs,10,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,9.306567192077637 +1988,5,0,homicide,18-20 yrs,20,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,18.613134384155273 +1988,5,0,other external,18-20 yrs,14,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,13.029194831848145 +1988,5,0,internal,18-20 yrs,23,107451,18.984989166259766,0,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,21.405105590820312 +1988,5,0,all,21-24 yrs,173,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,122.85099792480469 +1988,5,0,MVA,21-24 yrs,66,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,46.868011474609375 +1988,5,0,suicide,21-24 yrs,21,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,14.912549018859863 +1988,5,0,homicide,21-24 yrs,27,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,19.173276901245117 +1988,5,0,other external,21-24 yrs,23,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,16.33279037475586 +1988,5,0,internal,21-24 yrs,36,140821,22.549406051635742,1,0.21132713556289673,1.0700000524520874,0.14000000059604645,0.5299999713897705,1.7400000095367432,25.564369201660156 +1989,5,0,MVA,15-17 yrs,52,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,48.787353515625 +1989,5,0,suicide,15-17 yrs,13,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,12.19683837890625 +1989,5,0,homicide,15-17 yrs,7,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,6.567528247833252 +1989,5,0,other external,15-17 yrs,28,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,26.270112991333008 +1989,5,0,internal,15-17 yrs,20,106585,16.023820877075195,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,18.764366149902344 +1989,5,0,all,18-20 yrs,130,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,118.39816284179688 +1989,5,0,MVA,18-20 yrs,62,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,56.46681594848633 +1989,5,0,suicide,18-20 yrs,10,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,9.107550621032715 +1989,5,0,homicide,18-20 yrs,20,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,18.21510124206543 +1989,5,0,other external,18-20 yrs,19,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,17.304346084594727 +1989,5,0,internal,18-20 yrs,19,109799,18.979854583740234,0,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,17.304346084594727 +1989,5,0,all,21-24 yrs,173,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,130.60447692871094 +1989,5,0,MVA,21-24 yrs,65,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,49.071048736572266 +1989,5,0,suicide,21-24 yrs,20,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,15.098783493041992 +1989,5,0,homicide,21-24 yrs,30,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,22.648176193237305 +1989,5,0,other external,21-24 yrs,16,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,12.07902717590332 +1989,5,0,internal,21-24 yrs,42,132461,22.52884292602539,1,0.2016129046678543,1.0800000429153442,0.12999999523162842,0.5699999928474426,1.7799999713897705,31.70744514465332 +1990,5,0,MVA,15-17 yrs,43,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,40.949649810791016 +1990,5,0,suicide,15-17 yrs,12,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,11.427809715270996 +1990,5,0,homicide,15-17 yrs,6,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,5.713904857635498 +1990,5,0,other external,15-17 yrs,22,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,20.950984954833984 +1990,5,0,internal,15-17 yrs,26,105007,16.006399154663086,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,24.76025390625 +1990,5,0,all,18-20 yrs,140,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,126.35265350341797 +1990,5,0,MVA,18-20 yrs,56,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,50.54106140136719 +1990,5,0,suicide,18-20 yrs,19,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,17.147859573364258 +1990,5,0,homicide,18-20 yrs,21,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,18.952898025512695 +1990,5,0,other external,18-20 yrs,13,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,11.732746124267578 +1990,5,0,internal,18-20 yrs,31,110801,19.008520126342773,0,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,27.978086471557617 +1990,5,0,all,21-24 yrs,163,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,127.27713012695312 +1990,5,0,MVA,21-24 yrs,57,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,44.50795364379883 +1990,5,0,suicide,21-24 yrs,27,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,21.082714080810547 +1990,5,0,homicide,21-24 yrs,23,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,17.959348678588867 +1990,5,0,other external,21-24 yrs,21,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,16.397666931152344 +1990,5,0,internal,21-24 yrs,35,128067,22.482162475585938,1,0.19127774238586426,1.1200000047683716,0.12999999523162842,0.6100000143051147,1.8600000143051147,27.329444885253906 +1991,5,0,MVA,15-17 yrs,41,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,38.99340057373047 +1991,5,0,suicide,15-17 yrs,8,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,7.608468055725098 +1991,5,0,homicide,15-17 yrs,11,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,10.461644172668457 +1991,5,0,other external,15-17 yrs,14,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,13.3148193359375 +1991,5,0,internal,15-17 yrs,15,105146,16.012126922607422,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,14.265877723693848 +1991,5,0,all,18-20 yrs,144,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,131.21446228027344 +1991,5,0,MVA,18-20 yrs,62,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,56.4951171875 +1991,5,0,suicide,18-20 yrs,14,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,12.756961822509766 +1991,5,0,homicide,18-20 yrs,22,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,20.046653747558594 +1991,5,0,other external,18-20 yrs,19,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,17.313018798828125 +1991,5,0,internal,18-20 yrs,27,109744,19.02729034423828,0,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,24.602712631225586 +1991,5,0,all,21-24 yrs,182,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,139.83865356445312 +1991,5,0,MVA,21-24 yrs,71,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,54.55244064331055 +1991,5,0,suicide,21-24 yrs,22,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,16.90357208251953 +1991,5,0,homicide,21-24 yrs,31,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,23.81867027282715 +1991,5,0,other external,21-24 yrs,25,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,19.20860481262207 +1991,5,0,internal,21-24 yrs,33,130150,22.446584701538086,1,0.18355360627174377,1.1200000047683716,0.10999999940395355,0.5799999833106995,1.809999942779541,25.35536003112793 +1992,5,0,MVA,15-17 yrs,42,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,39.01279067993164 +1992,5,0,suicide,15-17 yrs,9,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,8.359883308410645 +1992,5,0,homicide,15-17 yrs,13,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,12.075387954711914 +1992,5,0,other external,15-17 yrs,12,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,11.146512031555176 +1992,5,0,internal,15-17 yrs,10,107657,16.002479553222656,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,9.288759231567383 +1992,5,0,all,18-20 yrs,134,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,124.59784698486328 +1992,5,0,MVA,18-20 yrs,56,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,52.070743560791016 +1992,5,0,suicide,18-20 yrs,11,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,10.228181838989258 +1992,5,0,homicide,18-20 yrs,28,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,26.035371780395508 +1992,5,0,other external,18-20 yrs,21,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,19.526527404785156 +1992,5,0,internal,18-20 yrs,18,107546,19.016420364379883,0,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,16.737024307250977 +1992,5,0,all,21-24 yrs,207,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,154.33364868164062 +1992,5,0,MVA,21-24 yrs,74,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,55.17241287231445 +1992,5,0,suicide,21-24 yrs,26,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,19.384902954101562 +1992,5,0,homicide,21-24 yrs,45,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,33.5507926940918 +1992,5,0,other external,21-24 yrs,20,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,14.911462783813477 +1992,5,0,internal,21-24 yrs,42,134125,22.430030822753906,1,0.17818959057331085,1.1299999952316284,0.11999999731779099,0.6499999761581421,1.899999976158142,31.31407356262207 +1993,5,0,MVA,15-17 yrs,31,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,28.477205276489258 +1993,5,0,suicide,15-17 yrs,17,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,15.616531372070312 +1993,5,0,homicide,15-17 yrs,12,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,11.023433685302734 +1993,5,0,other external,15-17 yrs,18,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,16.5351505279541 +1993,5,0,internal,15-17 yrs,29,108859,15.999788284301758,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,26.639965057373047 +1993,5,0,all,18-20 yrs,133,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,122.77527618408203 +1993,5,0,MVA,18-20 yrs,57,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,52.61797332763672 +1993,5,0,suicide,18-20 yrs,16,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,14.769957542419434 +1993,5,0,homicide,18-20 yrs,27,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,24.92430305480957 +1993,5,0,other external,18-20 yrs,13,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,12.000590324401855 +1993,5,0,internal,18-20 yrs,20,108328,19.000747680664062,0,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,18.462448120117188 +1993,5,0,all,21-24 yrs,196,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,142.0856170654297 +1993,5,0,MVA,21-24 yrs,61,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,44.220523834228516 +1993,5,0,suicide,21-24 yrs,30,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,21.747798919677734 +1993,5,0,homicide,21-24 yrs,39,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,28.272136688232422 +1993,5,0,other external,21-24 yrs,21,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,15.223458290100098 +1993,5,0,internal,21-24 yrs,45,137945,22.460981369018555,1,0.17301037907600403,1.100000023841858,0.10999999940395355,0.5799999833106995,1.7899999618530273,32.62169647216797 +1994,5,0,MVA,15-17 yrs,50,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,44.804874420166016 +1994,5,0,suicide,15-17 yrs,15,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,13.441462516784668 +1994,5,0,homicide,15-17 yrs,18,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.1297550201416 +1994,5,0,other external,15-17 yrs,12,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,10.753170013427734 +1994,5,0,internal,15-17 yrs,18,111595,16.00596809387207,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.1297550201416 +1994,5,0,all,18-20 yrs,125,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,114.9837646484375 +1994,5,0,MVA,18-20 yrs,48,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,44.15376663208008 +1994,5,0,suicide,18-20 yrs,19,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,17.47753143310547 +1994,5,0,homicide,18-20 yrs,22,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,20.23714256286621 +1994,5,0,other external,18-20 yrs,17,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,15.637791633605957 +1994,5,0,internal,18-20 yrs,19,108711,19.006357192993164,0,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,17.47753143310547 +1994,5,0,all,21-24 yrs,193,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,138.72816467285156 +1994,5,0,MVA,21-24 yrs,63,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,45.28432083129883 +1994,5,0,suicide,21-24 yrs,33,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,23.72035789489746 +1994,5,0,homicide,21-24 yrs,36,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,25.876754760742188 +1994,5,0,other external,21-24 yrs,23,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,16.532371520996094 +1994,5,0,internal,21-24 yrs,38,139121,22.497228622436523,1,0.16869096457958221,1.059999942779541,0.12999999523162842,0.46000000834465027,1.649999976158142,27.31435203552246 +1995,5,0,MVA,15-17 yrs,43,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,37.33967971801758 +1995,5,0,suicide,15-17 yrs,13,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,11.288740158081055 +1995,5,0,homicide,15-17 yrs,17,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,14.762198448181152 +1995,5,0,other external,15-17 yrs,10,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,8.683646202087402 +1995,5,0,internal,15-17 yrs,12,115159,15.982528686523438,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,10.420374870300293 +1995,5,0,all,18-20 yrs,158,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,143.19895935058594 +1995,5,0,MVA,18-20 yrs,76,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,68.88050842285156 +1995,5,0,suicide,18-20 yrs,22,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,19.93909454345703 +1995,5,0,homicide,18-20 yrs,30,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,27.189674377441406 +1995,5,0,other external,18-20 yrs,13,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,11.78219223022461 +1995,5,0,internal,18-20 yrs,17,110336,19.000707626342773,0,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,15.407482147216797 +1995,5,0,all,21-24 yrs,169,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,122.3759765625 +1995,5,0,MVA,21-24 yrs,52,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,37.65414810180664 +1995,5,0,suicide,21-24 yrs,33,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,23.89590072631836 +1995,5,0,homicide,21-24 yrs,30,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,21.723546981811523 +1995,5,0,other external,21-24 yrs,18,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,13.034127235412598 +1995,5,0,internal,21-24 yrs,36,138099,22.507368087768555,1,0.16404199600219727,1.0800000429153442,0.11999999731779099,0.5099999904632568,1.7000000476837158,26.068254470825195 +1996,5,0,MVA,15-17 yrs,42,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,35.6424560546875 +1996,5,0,suicide,15-17 yrs,15,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,12.729448318481445 +1996,5,0,homicide,15-17 yrs,11,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,9.334928512573242 +1996,5,0,other external,15-17 yrs,15,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,12.729448318481445 +1996,5,0,internal,15-17 yrs,16,117837,15.98902702331543,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,13.578078269958496 +1996,5,0,all,18-20 yrs,144,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,129.77532958984375 +1996,5,0,MVA,18-20 yrs,55,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,49.56696319580078 +1996,5,0,suicide,18-20 yrs,22,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,19.826786041259766 +1996,5,0,homicide,18-20 yrs,26,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,23.431655883789062 +1996,5,0,other external,18-20 yrs,17,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,15.320698738098145 +1996,5,0,internal,18-20 yrs,24,110961,18.99646759033203,0,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,21.629220962524414 +1996,5,0,all,21-24 yrs,186,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,136.07432556152344 +1996,5,0,MVA,21-24 yrs,64,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,46.82127380371094 +1996,5,0,suicide,21-24 yrs,27,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,19.75272560119629 +1996,5,0,homicide,21-24 yrs,25,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,18.289560317993164 +1996,5,0,other external,21-24 yrs,25,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,18.289560317993164 +1996,5,0,internal,21-24 yrs,45,136690,22.48309326171875,1,0.15933716297149658,1.100000023841858,0.11999999731779099,0.5299999713897705,1.75,32.921207427978516 +1970,6,0,MVA,15-17 yrs,341,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,30.64493751525879 +1970,6,0,suicide,15-17 yrs,85,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,7.638767242431641 +1970,6,0,homicide,15-17 yrs,67,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,6.021145820617676 +1970,6,0,other external,15-17 yrs,197,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,17.70396614074707 +1970,6,0,internal,15-17 yrs,277,1112745,15.990154266357422,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,24.893394470214844 +1970,6,0,all,18-20 yrs,1661,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,155.53570556640625 +1970,6,0,MVA,18-20 yrs,580,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,54.31108093261719 +1970,6,0,suicide,18-20 yrs,228,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,21.34987449645996 +1970,6,0,homicide,18-20 yrs,141,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,13.203211784362793 +1970,6,0,other external,18-20 yrs,354,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,33.14848709106445 +1970,6,0,internal,18-20 yrs,358,1067922,19.0050048828125,0,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,33.523048400878906 +1970,6,0,all,21-24 yrs,2131,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,153.93516540527344 +1970,6,0,MVA,21-24 yrs,689,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,49.770687103271484 +1970,6,0,suicide,21-24 yrs,329,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,23.765684127807617 +1970,6,0,homicide,21-24 yrs,194,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,14.01380729675293 +1970,6,0,other external,21-24 yrs,477,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,34.45663070678711 +1970,6,0,internal,21-24 yrs,442,1384349,22.4422607421875,1,0.10309278219938278,1.100000023841858,0.6299999952316284,1.3700000047683716,3.109999895095825,31.92836570739746 +1971,6,0,MVA,15-17 yrs,395,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,34.69206237792969 +1971,6,0,suicide,15-17 yrs,81,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,7.114068508148193 +1971,6,0,homicide,15-17 yrs,89,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,7.816692352294922 +1971,6,0,other external,15-17 yrs,201,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,17.65342903137207 +1971,6,0,internal,15-17 yrs,281,1138589,15.991659164428711,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,24.679668426513672 +1971,6,0,all,18-20 yrs,1615,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,143.29354858398438 +1971,6,0,MVA,18-20 yrs,567,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,50.308013916015625 +1971,6,0,suicide,18-20 yrs,238,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,21.116945266723633 +1971,6,0,homicide,18-20 yrs,148,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,13.131545066833496 +1971,6,0,other external,18-20 yrs,354,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,31.409236907958984 +1971,6,0,internal,18-20 yrs,308,1127057,18.996286392211914,0,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,27.327810287475586 +1971,6,0,all,21-24 yrs,2283,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,156.3433074951172 +1971,6,0,MVA,21-24 yrs,643,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,44.03361511230469 +1971,6,0,suicide,21-24 yrs,349,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,23.900049209594727 +1971,6,0,homicide,21-24 yrs,254,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,17.394306182861328 +1971,6,0,other external,21-24 yrs,522,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,35.747352600097656 +1971,6,0,internal,21-24 yrs,515,1460248,22.55129051208496,1,0.09876543283462524,1.1299999952316284,0.6800000071525574,1.3799999952316284,3.190000057220459,35.267982482910156 +1972,6,0,MVA,15-17 yrs,454,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,38.96260070800781 +1972,6,0,suicide,15-17 yrs,94,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,8.067146301269531 +1972,6,0,homicide,15-17 yrs,72,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,6.17909049987793 +1972,6,0,other external,15-17 yrs,166,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,14.246236801147461 +1972,6,0,internal,15-17 yrs,268,1165220,15.983013153076172,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,22.999948501586914 +1972,6,0,all,18-20 yrs,1748,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,149.61410522460938 +1972,6,0,MVA,18-20 yrs,662,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,56.66163635253906 +1972,6,0,suicide,18-20 yrs,208,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,17.80305290222168 +1972,6,0,homicide,18-20 yrs,218,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,18.658967971801758 +1972,6,0,other external,18-20 yrs,312,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,26.704578399658203 +1972,6,0,internal,18-20 yrs,348,1168339,19.001752853393555,0,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,29.78587532043457 +1972,6,0,all,21-24 yrs,2284,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,158.60604858398438 +1972,6,0,MVA,21-24 yrs,692,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,48.054019927978516 +1972,6,0,suicide,21-24 yrs,360,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,24.99920082092285 +1972,6,0,homicide,21-24 yrs,280,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,19.443822860717773 +1972,6,0,other external,21-24 yrs,426,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,29.582387924194336 +1972,6,0,internal,21-24 yrs,526,1440046,22.492321014404297,1,0.09569378197193146,1.1699999570846558,0.6600000262260437,1.3300000429153442,3.1600000858306885,36.526611328125 +1973,6,0,MVA,15-17 yrs,367,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,30.82562255859375 +1973,6,0,suicide,15-17 yrs,84,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,7.055455684661865 +1973,6,0,homicide,15-17 yrs,107,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,8.987306594848633 +1973,6,0,other external,15-17 yrs,208,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,17.470653533935547 +1973,6,0,internal,15-17 yrs,275,1190568,15.989583015441895,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,23.09821891784668 +1973,6,0,all,18-20 yrs,1688,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,139.74053955078125 +1973,6,0,MVA,18-20 yrs,663,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,54.8862419128418 +1973,6,0,suicide,18-20 yrs,194,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,16.06022834777832 +1973,6,0,homicide,18-20 yrs,211,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,17.467567443847656 +1973,6,0,other external,18-20 yrs,311,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,25.746034622192383 +1973,6,0,internal,18-20 yrs,309,1207953,19.017011642456055,0,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,25.58046531677246 +1973,6,0,all,21-24 yrs,2263,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,153.30441284179688 +1973,6,0,MVA,21-24 yrs,647,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,43.830291748046875 +1973,6,0,suicide,21-24 yrs,321,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,21.745786666870117 +1973,6,0,homicide,21-24 yrs,270,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,18.290849685668945 +1973,6,0,other external,21-24 yrs,517,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,35.023590087890625 +1973,6,0,internal,21-24 yrs,508,1476148,22.46976089477539,1,0.09009008854627609,1.190000057220459,0.6800000071525574,1.340000033378601,3.2100000381469727,34.41389465332031 +1974,6,0,MVA,15-17 yrs,346,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,28.558670043945312 +1974,6,0,suicide,15-17 yrs,77,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,6.355542182922363 +1974,6,0,homicide,15-17 yrs,113,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,9.326964378356934 +1974,6,0,other external,15-17 yrs,191,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,15.765046119689941 +1974,6,0,internal,15-17 yrs,216,1211541,16.004695892333984,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,17.828533172607422 +1974,6,0,all,18-20 yrs,1631,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,132.5506591796875 +1974,6,0,MVA,18-20 yrs,558,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,45.34841537475586 +1974,6,0,suicide,18-20 yrs,186,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,15.116138458251953 +1974,6,0,homicide,18-20 yrs,211,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,17.147876739501953 +1974,6,0,other external,18-20 yrs,339,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,27.55038070678711 +1974,6,0,internal,18-20 yrs,337,1230473,19.01715850830078,0,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,27.387842178344727 +1974,6,0,all,21-24 yrs,2258,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,146.4805145263672 +1974,6,0,MVA,21-24 yrs,567,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,36.78230667114258 +1974,6,0,suicide,21-24 yrs,357,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,23.159231185913086 +1974,6,0,homicide,21-24 yrs,309,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,20.04538345336914 +1974,6,0,other external,21-24 yrs,564,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,36.58769226074219 +1974,6,0,internal,21-24 yrs,461,1541502,22.453895568847656,1,0.08113589882850647,1.2999999523162842,0.6800000071525574,1.350000023841858,3.3299999237060547,29.90589714050293 +1975,6,0,MVA,15-17 yrs,317,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,25.991552352905273 +1975,6,0,suicide,15-17 yrs,71,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,5.8214521408081055 +1975,6,0,homicide,15-17 yrs,104,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,8.527196884155273 +1975,6,0,other external,15-17 yrs,140,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,11.47891902923584 +1975,6,0,internal,15-17 yrs,243,1219627,16.003028869628906,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,19.924123764038086 +1975,6,0,all,18-20 yrs,1641,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,129.83837890625 +1975,6,0,MVA,18-20 yrs,563,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,44.54540252685547 +1975,6,0,suicide,18-20 yrs,175,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,13.846261978149414 +1975,6,0,homicide,18-20 yrs,232,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,18.35618782043457 +1975,6,0,other external,18-20 yrs,346,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,27.37603759765625 +1975,6,0,internal,18-20 yrs,325,1263879,19.008333206176758,0,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,25.714487075805664 +1975,6,0,all,21-24 yrs,2493,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,154.26646423339844 +1975,6,0,MVA,21-24 yrs,648,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,40.098140716552734 +1975,6,0,suicide,21-24 yrs,399,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,24.690059661865234 +1975,6,0,homicide,21-24 yrs,305,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,18.873353958129883 +1975,6,0,other external,21-24 yrs,599,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,37.0660285949707 +1975,6,0,internal,21-24 yrs,542,1616035,22.46440315246582,1,0.07434944063425064,1.2699999809265137,0.699999988079071,1.3600000143051147,3.3299999237060547,33.53887939453125 +1976,6,0,MVA,15-17 yrs,365,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,29.404325485229492 +1976,6,0,suicide,15-17 yrs,76,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,6.122544288635254 +1976,6,0,homicide,15-17 yrs,103,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,8.297658920288086 +1976,6,0,other external,15-17 yrs,156,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,12.567327499389648 +1976,6,0,internal,15-17 yrs,234,1241314,15.993949890136719,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,18.85099220275879 +1976,6,0,all,18-20 yrs,1641,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,126.61099243164062 +1976,6,0,MVA,18-20 yrs,616,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,47.52734375 +1976,6,0,suicide,18-20 yrs,180,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,13.887860298156738 +1976,6,0,homicide,18-20 yrs,229,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,17.66844367980957 +1976,6,0,other external,18-20 yrs,298,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,22.992124557495117 +1976,6,0,internal,18-20 yrs,318,1296096,19.01543426513672,0,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,24.535219192504883 +1976,6,0,all,21-24 yrs,2452,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,145.6559600830078 +1976,6,0,MVA,21-24 yrs,682,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,40.51279067993164 +1976,6,0,suicide,21-24 yrs,382,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,22.691913604736328 +1976,6,0,homicide,21-24 yrs,337,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,20.018783569335938 +1976,6,0,other external,21-24 yrs,560,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,33.26563262939453 +1976,6,0,internal,21-24 yrs,491,1683419,22.48097801208496,1,0.07029876857995987,1.3200000524520874,0.699999988079071,1.340000033378601,3.359999895095825,29.166831970214844 +1977,6,0,MVA,15-17 yrs,414,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,32.96406555175781 +1977,6,0,suicide,15-17 yrs,99,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,7.882711410522461 +1977,6,0,homicide,15-17 yrs,156,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,12.421242713928223 +1977,6,0,other external,15-17 yrs,156,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,12.421242713928223 +1977,6,0,internal,15-17 yrs,238,1255913,16.00194549560547,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,18.95035743713379 +1977,6,0,all,18-20 yrs,1801,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,136.570068359375 +1977,6,0,MVA,18-20 yrs,748,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,56.72093963623047 +1977,6,0,suicide,18-20 yrs,219,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,16.60679817199707 +1977,6,0,homicide,18-20 yrs,270,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,20.474136352539062 +1977,6,0,other external,18-20 yrs,247,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,18.73004150390625 +1977,6,0,internal,18-20 yrs,317,1318737,19.03066635131836,0,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,24.038150787353516 +1977,6,0,all,21-24 yrs,2536,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,145.2530975341797 +1977,6,0,MVA,21-24 yrs,842,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,48.22677993774414 +1977,6,0,suicide,21-24 yrs,476,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,27.263593673706055 +1977,6,0,homicide,21-24 yrs,366,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,20.963184356689453 +1977,6,0,other external,21-24 yrs,373,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,21.364118576049805 +1977,6,0,internal,21-24 yrs,479,1745918,22.498380661010742,1,0.066006600856781,1.309999942779541,0.6700000166893005,1.2799999713897705,3.25,27.435422897338867 +1978,6,0,MVA,15-17 yrs,398,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,31.45648193359375 +1978,6,0,suicide,15-17 yrs,75,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,5.92772912979126 +1978,6,0,homicide,15-17 yrs,143,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,11.302203178405762 +1978,6,0,other external,15-17 yrs,157,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,12.408713340759277 +1978,6,0,internal,15-17 yrs,248,1265240,16.017555236816406,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,19.601024627685547 +1978,6,0,all,18-20 yrs,1806,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,135.5367431640625 +1978,6,0,MVA,18-20 yrs,764,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,57.33669662475586 +1978,6,0,suicide,18-20 yrs,165,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,12.382925033569336 +1978,6,0,homicide,18-20 yrs,301,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,22.58945655822754 +1978,6,0,other external,18-20 yrs,267,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,20.037824630737305 +1978,6,0,internal,18-20 yrs,309,1332480,19.029855728149414,0,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,23.189842224121094 +1978,6,0,all,21-24 yrs,2580,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,142.6199188232422 +1978,6,0,MVA,21-24 yrs,889,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,49.143062591552734 +1978,6,0,suicide,21-24 yrs,378,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,20.895475387573242 +1978,6,0,homicide,21-24 yrs,398,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,22.001056671142578 +1978,6,0,other external,21-24 yrs,444,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,24.54389190673828 +1978,6,0,internal,21-24 yrs,471,1809004,22.490943908691406,1,0.061349693685770035,1.3600000143051147,0.6800000071525574,1.3200000524520874,3.359999895095825,26.036426544189453 +1979,6,0,MVA,15-17 yrs,466,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,37.277347564697266 +1979,6,0,suicide,15-17 yrs,84,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,6.719521522521973 +1979,6,0,homicide,15-17 yrs,164,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,13.11906623840332 +1979,6,0,other external,15-17 yrs,120,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,9.599316596984863 +1979,6,0,internal,15-17 yrs,195,1250089,16.018896102905273,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,15.598889350891113 +1979,6,0,all,18-20 yrs,1893,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,139.76101684570312 +1979,6,0,MVA,18-20 yrs,796,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,58.76902389526367 +1979,6,0,suicide,18-20 yrs,192,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,14.175443649291992 +1979,6,0,homicide,18-20 yrs,340,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,25.10234832763672 +1979,6,0,other external,18-20 yrs,261,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,19.269742965698242 +1979,6,0,internal,18-20 yrs,304,1354455,19.02154541015625,0,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,22.4444522857666 +1979,6,0,all,21-24 yrs,2639,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,141.94537353515625 +1979,6,0,MVA,21-24 yrs,895,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,48.13986587524414 +1979,6,0,suicide,21-24 yrs,346,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,18.61049461364746 +1979,6,0,homicide,21-24 yrs,487,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,26.194541931152344 +1979,6,0,other external,21-24 yrs,407,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,21.891536712646484 +1979,6,0,internal,21-24 yrs,504,1859166,22.49368667602539,1,0.05509641766548157,1.4199999570846558,0.699999988079071,1.2799999713897705,3.4000000953674316,27.108928680419922 +1980,6,0,MVA,15-17 yrs,412,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,33.571922302246094 +1980,6,0,suicide,15-17 yrs,77,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,6.274363994598389 +1980,6,0,homicide,15-17 yrs,201,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,16.3785343170166 +1980,6,0,other external,15-17 yrs,131,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,10.674567222595215 +1980,6,0,internal,15-17 yrs,237,1227216,16.029788970947266,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,19.31200408935547 +1980,6,0,all,18-20 yrs,1892,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,138.50161743164062 +1980,6,0,MVA,18-20 yrs,770,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,56.366939544677734 +1980,6,0,suicide,18-20 yrs,175,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,12.810667991638184 +1980,6,0,homicide,18-20 yrs,398,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,29.13511848449707 +1980,6,0,other external,18-20 yrs,252,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,18.44736099243164 +1980,6,0,internal,18-20 yrs,297,1366049,19.025144577026367,0,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,21.741533279418945 +1980,6,0,all,21-24 yrs,2562,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,134.8448028564453 +1980,6,0,MVA,21-24 yrs,875,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,46.05355453491211 +1980,6,0,suicide,21-24 yrs,301,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,15.842422485351562 +1980,6,0,homicide,21-24 yrs,534,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,28.105825424194336 +1980,6,0,other external,21-24 yrs,373,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,19.63197135925293 +1980,6,0,internal,21-24 yrs,479,1899962,22.51085662841797,1,0.04854368790984154,1.4199999570846558,0.7099999785423279,1.25,3.380000114440918,25.211030960083008 +1981,6,0,MVA,15-17 yrs,340,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,28.710420608520508 +1981,6,0,suicide,15-17 yrs,74,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,6.248738765716553 +1981,6,0,homicide,15-17 yrs,172,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,14.52409553527832 +1981,6,0,other external,15-17 yrs,112,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,9.457550048828125 +1981,6,0,internal,15-17 yrs,158,1184239,16.041053771972656,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,13.341901779174805 +1981,6,0,all,18-20 yrs,1656,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,120.98806762695312 +1981,6,0,MVA,18-20 yrs,626,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,45.7358283996582 +1981,6,0,suicide,18-20 yrs,174,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,12.712514877319336 +1981,6,0,homicide,18-20 yrs,342,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.986665725708008 +1981,6,0,other external,18-20 yrs,228,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,16.657777786254883 +1981,6,0,internal,18-20 yrs,286,1368730,19.031978607177734,0,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,20.895282745361328 +1981,6,0,all,21-24 yrs,2458,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,127.17577362060547 +1981,6,0,MVA,21-24 yrs,846,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,43.77164840698242 +1981,6,0,suicide,21-24 yrs,336,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,17.384483337402344 +1981,6,0,homicide,21-24 yrs,470,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.317581176757812 +1981,6,0,other external,21-24 yrs,330,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,17.074047088623047 +1981,6,0,internal,21-24 yrs,476,1932758,22.5305233001709,1,0.044004399329423904,1.4299999475479126,0.7200000286102295,1.2100000381469727,3.359999895095825,24.628019332885742 +1982,6,0,MVA,15-17 yrs,270,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,23.513019561767578 +1982,6,0,suicide,15-17 yrs,66,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,5.747626781463623 +1982,6,0,homicide,15-17 yrs,106,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,9.231037139892578 +1982,6,0,other external,15-17 yrs,96,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,8.360184669494629 +1982,6,0,internal,15-17 yrs,206,1148300,16.031482696533203,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,17.939563751220703 +1982,6,0,all,18-20 yrs,1486,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,109.35298919677734 +1982,6,0,MVA,18-20 yrs,546,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,40.17949676513672 +1982,6,0,suicide,18-20 yrs,190,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,13.981876373291016 +1982,6,0,homicide,18-20 yrs,284,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,20.89922523498535 +1982,6,0,other external,18-20 yrs,196,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,14.423409461975098 +1982,6,0,internal,18-20 yrs,270,1358902,19.034954071044922,0,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,19.868982315063477 +1982,6,0,all,21-24 yrs,2422,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,123.75257110595703 +1982,6,0,MVA,21-24 yrs,742,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,37.91263961791992 +1982,6,0,suicide,21-24 yrs,338,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,17.270177841186523 +1982,6,0,homicide,21-24 yrs,458,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,23.401601791381836 +1982,6,0,other external,21-24 yrs,354,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,18.08769989013672 +1982,6,0,internal,21-24 yrs,530,1957131,22.52556800842285,1,0.041450776159763336,1.3700000047683716,0.7200000286102295,1.1399999856948853,3.2300000190734863,27.080455780029297 +1983,6,0,MVA,15-17 yrs,241,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,21.304393768310547 +1983,6,0,suicide,15-17 yrs,82,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,7.248798370361328 +1983,6,0,homicide,15-17 yrs,112,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,9.900797843933105 +1983,6,0,other external,15-17 yrs,107,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,9.458797454833984 +1983,6,0,internal,15-17 yrs,187,1131222,16.01761245727539,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,16.53079605102539 +1983,6,0,all,18-20 yrs,1369,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,102.10086059570312 +1983,6,0,MVA,18-20 yrs,549,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,40.94475555419922 +1983,6,0,suicide,18-20 yrs,163,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,12.15664005279541 +1983,6,0,homicide,18-20 yrs,250,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,18.645153045654297 +1983,6,0,other external,18-20 yrs,173,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,12.902446746826172 +1983,6,0,internal,18-20 yrs,234,1340831,19.04937171936035,0,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,17.45186424255371 +1983,6,0,all,21-24 yrs,2257,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,114.34720611572266 +1983,6,0,MVA,21-24 yrs,730,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,36.9842529296875 +1983,6,0,suicide,21-24 yrs,292,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,14.793701171875 +1983,6,0,homicide,21-24 yrs,426,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,21.582592010498047 +1983,6,0,other external,21-24 yrs,340,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,17.225542068481445 +1983,6,0,internal,21-24 yrs,469,1973813,22.526853561401367,1,0.0401606410741806,1.3700000047683716,0.75,1.1100000143051147,3.2300000190734863,23.76111602783203 +1984,6,0,MVA,15-17 yrs,286,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,25.06366729736328 +1984,6,0,suicide,15-17 yrs,71,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,6.222099304199219 +1984,6,0,homicide,15-17 yrs,109,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,9.552236557006836 +1984,6,0,other external,15-17 yrs,113,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,9.902777671813965 +1984,6,0,internal,15-17 yrs,163,1141094,16.002052307128906,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,14.284537315368652 +1984,6,0,all,18-20 yrs,1469,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,112.6727294921875 +1984,6,0,MVA,18-20 yrs,631,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,48.397884368896484 +1984,6,0,suicide,18-20 yrs,161,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,12.348747253417969 +1984,6,0,homicide,18-20 yrs,247,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,18.94497299194336 +1984,6,0,other external,18-20 yrs,182,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,13.959453582763672 +1984,6,0,internal,18-20 yrs,248,1303776,19.060606002807617,0,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,19.02167320251465 +1984,6,0,all,21-24 yrs,2365,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,118.55509948730469 +1984,6,0,MVA,21-24 yrs,805,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,40.353851318359375 +1984,6,0,suicide,21-24 yrs,343,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,17.194250106811523 +1984,6,0,homicide,21-24 yrs,410,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,20.552892684936523 +1984,6,0,other external,21-24 yrs,336,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,16.843345642089844 +1984,6,0,internal,21-24 yrs,471,1994853,22.530471801757812,1,0.03849855437874794,1.3799999952316284,0.7400000095367432,1.0700000524520874,3.190000057220459,23.610761642456055 +1985,6,0,MVA,15-17 yrs,319,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,27.187368392944336 +1985,6,0,suicide,15-17 yrs,90,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,7.670417308807373 +1985,6,0,homicide,15-17 yrs,114,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,9.715862274169922 +1985,6,0,other external,15-17 yrs,82,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,6.988602638244629 +1985,6,0,internal,15-17 yrs,189,1173339,15.994568824768066,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,16.10787582397461 +1985,6,0,all,18-20 yrs,1414,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,110.7876968383789 +1985,6,0,MVA,18-20 yrs,576,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,45.12992477416992 +1985,6,0,suicide,18-20 yrs,152,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,11.909285545349121 +1985,6,0,homicide,18-20 yrs,257,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,20.13609504699707 +1985,6,0,other external,18-20 yrs,171,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,13.39794635772705 +1985,6,0,internal,18-20 yrs,258,1276315,19.052509307861328,0,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,20.214445114135742 +1985,6,0,all,21-24 yrs,2386,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,118.14823150634766 +1985,6,0,MVA,21-24 yrs,801,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,39.6633415222168 +1985,6,0,suicide,21-24 yrs,345,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,17.08346176147461 +1985,6,0,homicide,21-24 yrs,438,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,21.688568115234375 +1985,6,0,other external,21-24 yrs,337,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,16.68732452392578 +1985,6,0,internal,21-24 yrs,465,2019497,22.540454864501953,1,0.03717472031712532,1.3200000524520874,0.7799999713897705,1.0199999809265137,3.119999885559082,23.025535583496094 +1986,6,0,MVA,15-17 yrs,334,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,27.478540420532227 +1986,6,0,suicide,15-17 yrs,102,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,8.391650199890137 +1986,6,0,homicide,15-17 yrs,139,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,11.43567943572998 +1986,6,0,other external,15-17 yrs,110,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,9.04981803894043 +1986,6,0,internal,15-17 yrs,193,1215494,16.006755828857422,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.878317832946777 +1986,6,0,all,18-20 yrs,1491,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,117.54966735839844 +1986,6,0,MVA,18-20 yrs,600,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,47.303688049316406 +1986,6,0,suicide,18-20 yrs,149,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,11.747082710266113 +1986,6,0,homicide,18-20 yrs,317,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,24.992116928100586 +1986,6,0,other external,18-20 yrs,191,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.058341026306152 +1986,6,0,internal,18-20 yrs,234,1268400,19.040756225585938,0,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,18.44843864440918 +1986,6,0,all,21-24 yrs,2462,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,121.66339874267578 +1986,6,0,MVA,21-24 yrs,784,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,38.74252700805664 +1986,6,0,suicide,21-24 yrs,349,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,17.246355056762695 +1986,6,0,homicide,21-24 yrs,489,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,24.164663314819336 +1986,6,0,other external,21-24 yrs,316,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,15.61561107635498 +1986,6,0,internal,21-24 yrs,524,2023616,22.552724838256836,1,0.036496348679065704,1.3600000143051147,0.7900000214576721,0.9599999785423279,3.109999895095825,25.894241333007812 +1987,6,0,MVA,15-17 yrs,314,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,25.85826301574707 +1987,6,0,suicide,15-17 yrs,83,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,6.835145950317383 +1987,6,0,homicide,15-17 yrs,136,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,11.19975757598877 +1987,6,0,other external,15-17 yrs,75,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,6.176336765289307 +1987,6,0,internal,15-17 yrs,204,1214312,16.04643440246582,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,16.799636840820312 +1987,6,0,all,18-20 yrs,1442,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,111.13431549072266 +1987,6,0,MVA,18-20 yrs,604,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,46.550018310546875 +1987,6,0,suicide,18-20 yrs,157,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,12.099922180175781 +1987,6,0,homicide,18-20 yrs,286,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,22.04189682006836 +1987,6,0,other external,18-20 yrs,153,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,11.791644096374512 +1987,6,0,internal,18-20 yrs,242,1297529,19.024993896484375,0,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,18.650835037231445 +1987,6,0,all,21-24 yrs,2390,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,118.53929901123047 +1987,6,0,MVA,21-24 yrs,747,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,37.04973220825195 +1987,6,0,suicide,21-24 yrs,302,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,14.978606224060059 +1987,6,0,homicide,21-24 yrs,477,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,23.658262252807617 +1987,6,0,other external,21-24 yrs,280,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,13.887449264526367 +1987,6,0,internal,21-24 yrs,584,2016209,22.571163177490234,1,0.035211268812417984,1.3600000143051147,0.7400000095367432,0.9300000071525574,3.0299999713897705,28.965251922607422 +1988,6,0,MVA,15-17 yrs,259,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,21.82101821899414 +1988,6,0,suicide,15-17 yrs,91,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,7.666844367980957 +1988,6,0,homicide,15-17 yrs,151,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.721906661987305 +1988,6,0,other external,15-17 yrs,80,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,6.74008321762085 +1988,6,0,internal,15-17 yrs,192,1186929,16.066904067993164,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,16.176198959350586 +1988,6,0,all,18-20 yrs,1549,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,114.57482147216797 +1988,6,0,MVA,18-20 yrs,601,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,44.45414352416992 +1988,6,0,suicide,18-20 yrs,166,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.278514862060547 +1988,6,0,homicide,18-20 yrs,340,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,25.148765563964844 +1988,6,0,other external,18-20 yrs,161,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,11.908679962158203 +1988,6,0,internal,18-20 yrs,281,1351955,19.01477813720703,0,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,20.78471565246582 +1988,6,0,all,21-24 yrs,2291,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,114.2714614868164 +1988,6,0,MVA,21-24 yrs,722,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,36.0122184753418 +1988,6,0,suicide,21-24 yrs,271,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,13.51705265045166 +1988,6,0,homicide,21-24 yrs,450,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,22.445289611816406 +1988,6,0,other external,21-24 yrs,256,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,12.768876075744629 +1988,6,0,internal,21-24 yrs,592,2004875,22.570758819580078,1,0.03381234034895897,1.340000033378601,0.6800000071525574,0.8899999856948853,2.9000000953674316,29.528024673461914 +1989,6,0,MVA,15-17 yrs,299,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,25.94981575012207 +1989,6,0,suicide,15-17 yrs,89,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,7.7241926193237305 +1989,6,0,homicide,15-17 yrs,204,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,17.704891204833984 +1989,6,0,other external,15-17 yrs,81,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,7.029882907867432 +1989,6,0,internal,15-17 yrs,182,1152224,16.043724060058594,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,15.795539855957031 +1989,6,0,all,18-20 yrs,1536,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,108.28247833251953 +1989,6,0,MVA,18-20 yrs,576,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,40.60593032836914 +1989,6,0,suicide,18-20 yrs,171,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,12.054885864257812 +1989,6,0,homicide,18-20 yrs,378,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,26.647642135620117 +1989,6,0,other external,18-20 yrs,160,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,11.279425621032715 +1989,6,0,internal,18-20 yrs,251,1418512,19.025630950927734,0,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,17.694599151611328 +1989,6,0,all,21-24 yrs,2284,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,113.72615814208984 +1989,6,0,MVA,21-24 yrs,715,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,35.60166549682617 +1989,6,0,suicide,21-24 yrs,280,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,13.941910743713379 +1989,6,0,homicide,21-24 yrs,462,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,23.004152297973633 +1989,6,0,other external,21-24 yrs,278,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,13.842326164245605 +1989,6,0,internal,21-24 yrs,549,2008333,22.55265998840332,1,0.032258063554763794,1.309999942779541,0.6100000143051147,0.8700000047683716,2.7899999618530273,27.336103439331055 +1990,6,0,MVA,15-17 yrs,237,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,20.240131378173828 +1990,6,0,suicide,15-17 yrs,88,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,7.515323162078857 +1990,6,0,homicide,15-17 yrs,250,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,21.35034942626953 +1990,6,0,other external,15-17 yrs,94,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,8.027731895446777 +1990,6,0,internal,15-17 yrs,190,1170941,16.010555267333984,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,16.22626495361328 +1990,6,0,all,18-20 yrs,1542,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,109.04785919189453 +1990,6,0,MVA,18-20 yrs,544,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,38.47084045410156 +1990,6,0,suicide,18-20 yrs,167,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,11.809982299804688 +1990,6,0,homicide,18-20 yrs,434,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,30.691810607910156 +1990,6,0,other external,18-20 yrs,143,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,10.112739562988281 +1990,6,0,internal,18-20 yrs,254,1414058,19.062978744506836,0,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,17.962488174438477 +1990,6,0,all,21-24 yrs,2404,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,119.53585815429688 +1990,6,0,MVA,21-24 yrs,735,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,36.54694366455078 +1990,6,0,suicide,21-24 yrs,267,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,13.276237487792969 +1990,6,0,homicide,21-24 yrs,612,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,30.430925369262695 +1990,6,0,other external,21-24 yrs,214,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,10.64087963104248 +1990,6,0,internal,21-24 yrs,576,2011112,22.525253295898438,1,0.030604436993598938,1.3200000524520874,0.5899999737739563,0.8700000047683716,2.7799999713897705,28.640871047973633 +1991,6,0,MVA,15-17 yrs,235,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,20.25457000732422 +1991,6,0,suicide,15-17 yrs,81,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,6.981362342834473 +1991,6,0,homicide,15-17 yrs,320,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,27.580690383911133 +1991,6,0,other external,15-17 yrs,73,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,6.291844844818115 +1991,6,0,internal,15-17 yrs,179,1160232,15.999171257019043,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,15.427948951721191 +1991,6,0,all,18-20 yrs,1615,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,120.68152618408203 +1991,6,0,MVA,18-20 yrs,495,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,36.98907470703125 +1991,6,0,suicide,18-20 yrs,187,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,13.973649978637695 +1991,6,0,homicide,18-20 yrs,530,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,39.604461669921875 +1991,6,0,other external,18-20 yrs,146,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,10.90990924835205 +1991,6,0,internal,18-20 yrs,257,1338233,19.068429946899414,0,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,19.20442771911621 +1991,6,0,all,21-24 yrs,2270,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,114.10974884033203 +1991,6,0,MVA,21-24 yrs,630,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,31.66922378540039 +1991,6,0,suicide,21-24 yrs,237,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,11.913661003112793 +1991,6,0,homicide,21-24 yrs,657,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,33.0264778137207 +1991,6,0,other external,21-24 yrs,222,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,11.159631729125977 +1991,6,0,internal,21-24 yrs,524,1989313,22.509855270385742,1,0.14684288203716278,1.2200000286102295,0.49000000953674316,0.75,2.4600000381469727,26.34075164794922 +1992,6,0,MVA,15-17 yrs,218,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,18.494590759277344 +1992,6,0,suicide,15-17 yrs,84,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,7.12635612487793 +1992,6,0,homicide,15-17 yrs,313,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,26.554161071777344 +1992,6,0,other external,15-17 yrs,80,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,6.78700590133667 +1992,6,0,internal,15-17 yrs,198,1178723,15.99530029296875,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,16.797840118408203 +1992,6,0,all,18-20 yrs,1468,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,115.32847595214844 +1992,6,0,MVA,18-20 yrs,404,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,31.73889923095703 +1992,6,0,suicide,18-20 yrs,152,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.941368103027344 +1992,6,0,homicide,18-20 yrs,522,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,41.00917053222656 +1992,6,0,other external,18-20 yrs,142,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.15575122833252 +1992,6,0,internal,18-20 yrs,248,1272886,19.05402183532715,0,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,19.48328399658203 +1992,6,0,all,21-24 yrs,2179,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,110.22959899902344 +1992,6,0,MVA,21-24 yrs,498,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,25.192445755004883 +1992,6,0,suicide,21-24 yrs,245,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,12.393874168395996 +1992,6,0,homicide,21-24 yrs,699,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,35.36048126220703 +1992,6,0,other external,21-24 yrs,234,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,11.837414741516113 +1992,6,0,internal,21-24 yrs,503,1976783,22.511898040771484,1,0.14255167543888092,1.2799999713897705,0.5099999904632568,0.75,2.5399999618530273,25.445383071899414 +1993,6,0,MVA,15-17 yrs,207,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,17.44703483581543 +1993,6,0,suicide,15-17 yrs,103,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,8.681374549865723 +1993,6,0,homicide,15-17 yrs,328,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,27.645544052124023 +1993,6,0,other external,15-17 yrs,85,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,7.164241313934326 +1993,6,0,internal,15-17 yrs,191,1186448,15.991765022277832,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,16.098472595214844 +1993,6,0,all,18-20 yrs,1397,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,112.10609436035156 +1993,6,0,MVA,18-20 yrs,338,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,27.123737335205078 +1993,6,0,suicide,18-20 yrs,150,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,12.037160873413086 +1993,6,0,homicide,18-20 yrs,531,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,42.611549377441406 +1993,6,0,other external,18-20 yrs,123,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,9.870471954345703 +1993,6,0,internal,18-20 yrs,255,1246141,19.033023834228516,0,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,20.46317481994629 +1993,6,0,all,21-24 yrs,2220,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,115.36980438232422 +1993,6,0,MVA,21-24 yrs,518,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,26.919620513916016 +1993,6,0,suicide,21-24 yrs,263,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,13.667683601379395 +1993,6,0,homicide,21-24 yrs,705,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,36.6377067565918 +1993,6,0,other external,21-24 yrs,247,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,12.836190223693848 +1993,6,0,internal,21-24 yrs,487,1924247,22.54640769958496,1,0.13840830326080322,1.1699999570846558,0.47999998927116394,0.6899999976158142,2.3499999046325684,25.30860137939453 +1994,6,0,MVA,15-17 yrs,218,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,17.97893714904785 +1994,6,0,suicide,15-17 yrs,82,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,6.76271915435791 +1994,6,0,homicide,15-17 yrs,316,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,26.06121063232422 +1994,6,0,other external,15-17 yrs,66,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,5.443164348602295 +1994,6,0,internal,15-17 yrs,169,1212530,15.994898796081543,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,13.937799453735352 +1994,6,0,all,18-20 yrs,1403,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,114.1221923828125 +1994,6,0,MVA,18-20 yrs,374,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,30.42173957824707 +1994,6,0,suicide,18-20 yrs,144,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,11.713183403015137 +1994,6,0,homicide,18-20 yrs,532,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,43.273704528808594 +1994,6,0,other external,18-20 yrs,115,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,9.354278564453125 +1994,6,0,internal,18-20 yrs,238,1229384,19.023168563842773,0,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,19.359289169311523 +1994,6,0,all,21-24 yrs,1961,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,106.10472869873047 +1994,6,0,MVA,21-24 yrs,402,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,21.751197814941406 +1994,6,0,suicide,21-24 yrs,291,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,15.745270729064941 +1994,6,0,homicide,21-24 yrs,577,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,31.22000503540039 +1994,6,0,other external,21-24 yrs,220,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,11.903640747070312 +1994,6,0,internal,21-24 yrs,471,1848174,22.570890426635742,1,0.13495276868343353,1.090000033378601,0.4699999988079071,0.6800000071525574,2.240000009536743,25.4846134185791 +1995,6,0,MVA,15-17 yrs,211,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,16.93724822998047 +1995,6,0,suicide,15-17 yrs,80,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,6.42170524597168 +1995,6,0,homicide,15-17 yrs,324,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,26.007905960083008 +1995,6,0,other external,15-17 yrs,68,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,5.458449363708496 +1995,6,0,internal,15-17 yrs,188,1245775,15.977025985717773,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,15.091007232666016 +1995,6,0,all,18-20 yrs,1408,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,112.59622192382812 +1995,6,0,MVA,18-20 yrs,352,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,28.14905548095703 +1995,6,0,suicide,18-20 yrs,155,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,12.395180702209473 +1995,6,0,homicide,18-20 yrs,501,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,40.064422607421875 +1995,6,0,other external,18-20 yrs,138,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,11.035709381103516 +1995,6,0,internal,18-20 yrs,262,1250486,19.01661491394043,0,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,20.951854705810547 +1995,6,0,all,21-24 yrs,1908,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,108.24690246582031 +1995,6,0,MVA,21-24 yrs,437,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,24.79239845275879 +1995,6,0,suicide,21-24 yrs,255,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,14.466960906982422 +1995,6,0,homicide,21-24 yrs,526,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,29.841651916503906 +1995,6,0,other external,21-24 yrs,187,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,10.60910415649414 +1995,6,0,internal,21-24 yrs,503,1762637,22.569149017333984,1,0.1312336027622223,1.1399999856948853,0.44999998807907104,0.6399999856948853,2.2300000190734863,28.536788940429688 +1996,6,0,MVA,15-17 yrs,204,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,15.779214859008789 +1996,6,0,suicide,15-17 yrs,88,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,6.80672025680542 +1996,6,0,homicide,15-17 yrs,243,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,18.79582977294922 +1996,6,0,other external,15-17 yrs,85,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,6.574672698974609 +1996,6,0,internal,15-17 yrs,188,1292840,15.984362602233887,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,14.54162883758545 +1996,6,0,all,18-20 yrs,1215,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,95.52803039550781 +1996,6,0,MVA,18-20 yrs,294,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,23.11542510986328 +1996,6,0,suicide,18-20 yrs,133,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,10.456977844238281 +1996,6,0,homicide,18-20 yrs,406,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,31.921300888061523 +1996,6,0,other external,18-20 yrs,127,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,9.985234260559082 +1996,6,0,internal,18-20 yrs,255,1271878,19.01201057434082,0,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,20.04909324645996 +1996,6,0,all,21-24 yrs,1608,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,94.00006866455078 +1996,6,0,MVA,21-24 yrs,381,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,22.27240562438965 +1996,6,0,suicide,21-24 yrs,187,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,10.931600570678711 +1996,6,0,homicide,21-24 yrs,399,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,23.324644088745117 +1996,6,0,other external,21-24 yrs,202,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,11.808466911315918 +1996,6,0,internal,21-24 yrs,439,1710637,22.530305862426758,1,0.1274697333574295,1.1100000143051147,0.49000000953674316,0.6399999856948853,2.240000009536743,25.662954330444336 +1970,8,1,MVA,15-17 yrs,64,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,49.230010986328125 +1970,8,1,suicide,15-17 yrs,16,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,12.307502746582031 +1970,8,1,homicide,15-17 yrs,6,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,4.615313529968262 +1970,8,1,other external,15-17 yrs,29,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,22.307348251342773 +1970,8,1,internal,15-17 yrs,35,130002,15.984253883361816,0,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,26.92266273498535 +1970,8,1,all,18-20 yrs,207,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,157.02040100097656 +1970,8,1,MVA,18-20 yrs,79,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,59.925662994384766 +1970,8,1,suicide,18-20 yrs,14,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,10.61973762512207 +1970,8,1,homicide,18-20 yrs,12,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,9.102632522583008 +1970,8,1,other external,18-20 yrs,45,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,34.13487243652344 +1970,8,1,internal,18-20 yrs,57,131830,18.999324798583984,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,43.23750305175781 +1970,8,1,all,21-24 yrs,255,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,158.71632385253906 +1970,8,1,MVA,21-24 yrs,91,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,56.63994598388672 +1970,8,1,suicide,21-24 yrs,35,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,21.78459358215332 +1970,8,1,homicide,21-24 yrs,16,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,9.958671569824219 +1970,8,1,other external,21-24 yrs,36,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,22.407011032104492 +1970,8,1,internal,21-24 yrs,77,160664,22.378896713256836,1,0.15463916957378387,1.1799999475479126,0.3100000023841858,1.2599999904632568,2.75,47.92610549926758 +1971,8,1,MVA,15-17 yrs,58,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,42.32341003417969 +1971,8,1,suicide,15-17 yrs,12,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,8.756567001342773 +1971,8,1,homicide,15-17 yrs,9,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,6.567425727844238 +1971,8,1,other external,15-17 yrs,38,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,27.729129791259766 +1971,8,1,internal,15-17 yrs,56,137040,15.986660957336426,0,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,40.863983154296875 +1971,8,1,all,18-20 yrs,181,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,129.4086456298828 +1971,8,1,MVA,18-20 yrs,59,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,42.18292999267578 +1971,8,1,suicide,18-20 yrs,31,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,22.16391372680664 +1971,8,1,homicide,18-20 yrs,9,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,6.4346842765808105 +1971,8,1,other external,18-20 yrs,38,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,27.16866683959961 +1971,8,1,internal,18-20 yrs,44,139867,19.003761291503906,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,31.45845603942871 +1971,8,1,all,21-24 yrs,274,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,154.55514526367188 +1971,8,1,MVA,21-24 yrs,91,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,51.330360412597656 +1971,8,1,suicide,21-24 yrs,35,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,19.74244499206543 +1971,8,1,homicide,21-24 yrs,20,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,11.281397819519043 +1971,8,1,other external,21-24 yrs,46,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,25.947214126586914 +1971,8,1,internal,21-24 yrs,82,177283,22.519981384277344,1,0.14814814925193787,1.2100000381469727,0.3799999952316284,1.3300000429153442,2.9200000762939453,46.25373077392578 +1972,8,1,MVA,15-17 yrs,66,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,45.67537307739258 +1972,8,1,suicide,15-17 yrs,12,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,8.30461311340332 +1972,8,1,homicide,15-17 yrs,14,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,9.688714981079102 +1972,8,1,other external,15-17 yrs,38,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,26.297941207885742 +1972,8,1,internal,15-17 yrs,36,144498,15.977086067199707,0,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,24.91383934020996 +1972,8,1,all,18-20 yrs,242,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,161.74957275390625 +1972,8,1,MVA,18-20 yrs,94,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,62.828346252441406 +1972,8,1,suicide,18-20 yrs,30,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,20.051599502563477 +1972,8,1,homicide,18-20 yrs,20,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,13.367733001708984 +1972,8,1,other external,18-20 yrs,50,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,33.41933059692383 +1972,8,1,internal,18-20 yrs,48,149614,19.006122589111328,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,32.082557678222656 +1972,8,1,all,21-24 yrs,306,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,164.97201538085938 +1972,8,1,MVA,21-24 yrs,88,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,47.44293212890625 +1972,8,1,suicide,21-24 yrs,54,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,29.112709045410156 +1972,8,1,homicide,21-24 yrs,26,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,14.017230033874512 +1972,8,1,other external,21-24 yrs,62,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,33.42570495605469 +1972,8,1,internal,21-24 yrs,76,185486,22.492095947265625,1,0.1435406655073166,1.2799999713897705,0.3700000047683716,1.2799999713897705,2.930000066757202,40.97344207763672 +1973,8,1,MVA,15-17 yrs,46,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,30.42146873474121 +1973,8,1,suicide,15-17 yrs,11,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,7.2746992111206055 +1973,8,1,homicide,15-17 yrs,8,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,5.2906904220581055 +1973,8,1,other external,15-17 yrs,31,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,20.50142478942871 +1973,8,1,internal,15-17 yrs,38,151209,15.983949661254883,0,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,25.130779266357422 +1973,8,1,all,18-20 yrs,229,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,144.9101104736328 +1973,8,1,MVA,18-20 yrs,75,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,47.45964431762695 +1973,8,1,suicide,18-20 yrs,33,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,20.88224220275879 +1973,8,1,homicide,18-20 yrs,16,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,10.124724388122559 +1973,8,1,other external,18-20 yrs,50,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,31.63976287841797 +1973,8,1,internal,18-20 yrs,55,158029,19.014705657958984,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,34.80373764038086 +1973,8,1,all,21-24 yrs,340,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,173.46408081054688 +1973,8,1,MVA,21-24 yrs,124,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,63.263370513916016 +1973,8,1,suicide,21-24 yrs,48,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,24.489046096801758 +1973,8,1,homicide,21-24 yrs,32,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,16.326030731201172 +1973,8,1,other external,21-24 yrs,54,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,27.5501766204834 +1973,8,1,internal,21-24 yrs,82,196006,22.489076614379883,1,0.13513512909412384,1.340000033378601,0.38999998569488525,1.3200000524520874,3.049999952316284,41.835453033447266 +1974,8,1,MVA,15-17 yrs,58,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,37.51762771606445 +1974,8,1,suicide,15-17 yrs,14,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.055978775024414 +1974,8,1,homicide,15-17 yrs,4,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,2.5874226093292236 +1974,8,1,other external,15-17 yrs,33,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,21.346235275268555 +1974,8,1,internal,15-17 yrs,38,154594,15.993939399719238,0,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,24.580514907836914 +1974,8,1,all,18-20 yrs,213,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,132.02261352539062 +1974,8,1,MVA,18-20 yrs,88,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,54.544551849365234 +1974,8,1,suicide,18-20 yrs,27,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,16.735260009765625 +1974,8,1,homicide,18-20 yrs,16,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.917191505432129 +1974,8,1,other external,18-20 yrs,39,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,24.173154830932617 +1974,8,1,internal,18-20 yrs,43,161336,19.015867233276367,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,26.65245246887207 +1974,8,1,all,21-24 yrs,319,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,159.0546417236328 +1974,8,1,MVA,21-24 yrs,109,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,54.34782791137695 +1974,8,1,suicide,21-24 yrs,47,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,23.434383392333984 +1974,8,1,homicide,21-24 yrs,20,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,9.972078323364258 +1974,8,1,other external,21-24 yrs,65,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,32.40925598144531 +1974,8,1,internal,21-24 yrs,78,200560,22.467620849609375,1,0.1217038556933403,1.4199999570846558,0.38999998569488525,1.3700000047683716,3.190000057220459,38.89110565185547 +1975,8,1,MVA,15-17 yrs,39,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,25.078933715820312 +1975,8,1,suicide,15-17 yrs,12,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,7.71659517288208 +1975,8,1,homicide,15-17 yrs,7,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,4.501347064971924 +1975,8,1,other external,15-17 yrs,31,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,19.934537887573242 +1975,8,1,internal,15-17 yrs,28,155509,15.992527961730957,0,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,18.005388259887695 +1975,8,1,all,18-20 yrs,209,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,126.64287567138672 +1975,8,1,MVA,18-20 yrs,79,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,47.86979293823242 +1975,8,1,suicide,18-20 yrs,18,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,10.907041549682617 +1975,8,1,homicide,18-20 yrs,23,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,13.936775207519531 +1975,8,1,other external,18-20 yrs,54,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,32.721126556396484 +1975,8,1,internal,18-20 yrs,35,165031,19.00602912902832,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,21.20813751220703 +1975,8,1,all,21-24 yrs,316,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,151.27072143554688 +1975,8,1,MVA,21-24 yrs,98,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,46.91307067871094 +1975,8,1,suicide,21-24 yrs,54,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,25.850059509277344 +1975,8,1,homicide,21-24 yrs,33,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,15.797259330749512 +1975,8,1,other external,21-24 yrs,64,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,30.637107849121094 +1975,8,1,internal,21-24 yrs,67,208897,22.479154586791992,1,0.11152416467666626,1.4299999475479126,0.41999998688697815,1.3899999856948853,3.240000009536743,32.07322311401367 +1976,8,1,MVA,15-17 yrs,44,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,27.921085357666016 +1976,8,1,suicide,15-17 yrs,11,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,6.980271339416504 +1976,8,1,homicide,15-17 yrs,5,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,3.1728506088256836 +1976,8,1,other external,15-17 yrs,33,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,20.940813064575195 +1976,8,1,internal,15-17 yrs,25,157587,15.98603343963623,0,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,15.864253044128418 +1976,8,1,all,18-20 yrs,218,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,129.078857421875 +1976,8,1,MVA,18-20 yrs,88,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,52.105228424072266 +1976,8,1,suicide,18-20 yrs,27,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,15.986831665039062 +1976,8,1,homicide,18-20 yrs,18,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,10.65788745880127 +1976,8,1,other external,18-20 yrs,40,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,23.684194564819336 +1976,8,1,internal,18-20 yrs,45,168889,19.01399803161621,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,26.64472007751465 +1976,8,1,all,21-24 yrs,299,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,138.6088104248047 +1976,8,1,MVA,21-24 yrs,93,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,43.1124382019043 +1976,8,1,suicide,21-24 yrs,56,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,25.96017837524414 +1976,8,1,homicide,21-24 yrs,22,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,10.198641777038574 +1976,8,1,other external,21-24 yrs,73,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,33.840946197509766 +1976,8,1,internal,21-24 yrs,55,215715,22.490304946899414,1,0.14059753715991974,1.4600000381469727,0.46000000834465027,1.3700000047683716,3.2899999618530273,25.496604919433594 +1977,8,1,MVA,15-17 yrs,75,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,47.13838577270508 +1977,8,1,suicide,15-17 yrs,16,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,10.056188583374023 +1977,8,1,homicide,15-17 yrs,6,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,3.771070957183838 +1977,8,1,other external,15-17 yrs,28,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,17.598331451416016 +1977,8,1,internal,15-17 yrs,27,159106,15.993249893188477,0,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,16.969818115234375 +1977,8,1,all,18-20 yrs,204,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,118.75931549072266 +1977,8,1,MVA,18-20 yrs,85,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,49.48304748535156 +1977,8,1,suicide,18-20 yrs,16,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,9.31445598602295 +1977,8,1,homicide,18-20 yrs,22,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,12.807376861572266 +1977,8,1,other external,18-20 yrs,37,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,21.53968048095703 +1977,8,1,internal,18-20 yrs,44,171776,19.024572372436523,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,25.61475372314453 +1977,8,1,all,21-24 yrs,302,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,135.48797607421875 +1977,8,1,MVA,21-24 yrs,119,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,53.38764953613281 +1977,8,1,suicide,21-24 yrs,64,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,28.712684631347656 +1977,8,1,homicide,21-24 yrs,25,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,11.215892791748047 +1977,8,1,other external,21-24 yrs,46,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,20.63724136352539 +1977,8,1,internal,21-24 yrs,48,222898,22.500099182128906,1,0.132013201713562,1.4299999475479126,0.36000001430511475,1.2200000286102295,3.009999990463257,21.534513473510742 +1978,8,1,MVA,15-17 yrs,59,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,37.06542205810547 +1978,8,1,suicide,15-17 yrs,6,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,3.769365072250366 +1978,8,1,homicide,15-17 yrs,11,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,6.910502910614014 +1978,8,1,other external,15-17 yrs,30,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,18.846824645996094 +1978,8,1,internal,15-17 yrs,36,159178,16.010648727416992,0,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,22.61618995666504 +1978,8,1,all,18-20 yrs,236,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,135.80076599121094 +1978,8,1,MVA,18-20 yrs,101,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,58.11812210083008 +1978,8,1,suicide,18-20 yrs,26,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,14.961101531982422 +1978,8,1,homicide,18-20 yrs,15,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,8.631404876708984 +1978,8,1,other external,18-20 yrs,45,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,25.89421272277832 +1978,8,1,internal,18-20 yrs,49,173784,19.024524688720703,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,28.195920944213867 +1978,8,1,all,21-24 yrs,335,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,144.71279907226562 +1978,8,1,MVA,21-24 yrs,118,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,50.97346496582031 +1978,8,1,suicide,21-24 yrs,55,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,23.758817672729492 +1978,8,1,homicide,21-24 yrs,29,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,12.527376174926758 +1978,8,1,other external,21-24 yrs,61,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,26.350688934326172 +1978,8,1,internal,21-24 yrs,72,231493,22.49831771850586,1,0.12269938737154007,1.6399999856948853,0.4699999988079071,1.4299999475479126,3.5399999618530273,31.102453231811523 +1979,8,1,MVA,15-17 yrs,41,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,26.140291213989258 +1979,8,1,suicide,15-17 yrs,13,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,8.288384437561035 +1979,8,1,homicide,15-17 yrs,8,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,5.100544452667236 +1979,8,1,other external,15-17 yrs,30,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,19.12704086303711 +1979,8,1,internal,15-17 yrs,26,156846,16.014263153076172,0,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,16.57676887512207 +1979,8,1,all,18-20 yrs,244,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,137.50042724609375 +1979,8,1,MVA,18-20 yrs,101,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,56.91615676879883 +1979,8,1,suicide,18-20 yrs,31,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,17.469316482543945 +1979,8,1,homicide,18-20 yrs,20,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,11.270526885986328 +1979,8,1,other external,18-20 yrs,47,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,26.485736846923828 +1979,8,1,internal,18-20 yrs,45,177454,19.0184268951416,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,25.358684539794922 +1979,8,1,all,21-24 yrs,345,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,144.353271484375 +1979,8,1,MVA,21-24 yrs,129,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,53.9755744934082 +1979,8,1,suicide,21-24 yrs,55,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,23.012840270996094 +1979,8,1,homicide,21-24 yrs,26,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,10.87879753112793 +1979,8,1,other external,21-24 yrs,74,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,30.962732315063477 +1979,8,1,internal,21-24 yrs,61,238997,22.501785278320312,1,0.11019283533096313,1.6799999475479126,0.4699999988079071,1.3700000047683716,3.5199999809265137,25.523332595825195 +1980,8,1,MVA,15-17 yrs,53,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,34.8331298828125 +1980,8,1,suicide,15-17 yrs,17,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,11.172890663146973 +1980,8,1,homicide,15-17 yrs,6,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,3.943373203277588 +1980,8,1,other external,15-17 yrs,21,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,13.801806449890137 +1980,8,1,internal,15-17 yrs,28,152154,16.025388717651367,0,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,18.402408599853516 +1980,8,1,all,18-20 yrs,206,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,117.49809265136719 +1980,8,1,MVA,18-20 yrs,96,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,54.75638961791992 +1980,8,1,suicide,18-20 yrs,28,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,15.970614433288574 +1980,8,1,homicide,18-20 yrs,12,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,6.84454870223999 +1980,8,1,other external,18-20 yrs,37,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,21.10402488708496 +1980,8,1,internal,18-20 yrs,33,175322,19.028398513793945,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,18.822509765625 +1980,8,1,all,21-24 yrs,318,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,130.92723083496094 +1980,8,1,MVA,21-24 yrs,119,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,48.99478530883789 +1980,8,1,suicide,21-24 yrs,55,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,22.6446475982666 +1980,8,1,homicide,21-24 yrs,32,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,13.175067901611328 +1980,8,1,other external,21-24 yrs,50,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,20.586044311523438 +1980,8,1,internal,21-24 yrs,62,242883,22.513349533081055,1,0.09708737581968307,1.5700000524520874,0.4699999988079071,1.309999942779541,3.3499999046325684,25.52669334411621 +1981,8,1,MVA,15-17 yrs,38,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,25.8920841217041 +1981,8,1,suicide,15-17 yrs,12,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.176447868347168 +1981,8,1,homicide,15-17 yrs,9,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,6.132335662841797 +1981,8,1,other external,15-17 yrs,13,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.857818603515625 +1981,8,1,internal,15-17 yrs,33,146763,16.040752410888672,0,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,22.485231399536133 +1981,8,1,all,18-20 yrs,217,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,125.90000915527344 +1981,8,1,MVA,18-20 yrs,87,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,50.47603988647461 +1981,8,1,suicide,18-20 yrs,33,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,19.14608383178711 +1981,8,1,homicide,18-20 yrs,15,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,8.702765464782715 +1981,8,1,other external,18-20 yrs,40,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,23.207374572753906 +1981,8,1,internal,18-20 yrs,42,172359,19.04529571533203,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,24.36774444580078 +1981,8,1,all,21-24 yrs,366,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,150.283935546875 +1981,8,1,MVA,21-24 yrs,142,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,58.306884765625 +1981,8,1,suicide,21-24 yrs,57,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,23.404874801635742 +1981,8,1,homicide,21-24 yrs,40,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,16.424474716186523 +1981,8,1,other external,21-24 yrs,64,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,26.279157638549805 +1981,8,1,internal,21-24 yrs,63,243539,22.52341079711914,1,0.08800879865884781,1.6299999952316284,0.4399999976158142,1.2599999904632568,3.3299999237060547,25.868547439575195 +1982,8,1,MVA,15-17 yrs,27,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,18.942583084106445 +1982,8,1,suicide,15-17 yrs,8,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,5.612617015838623 +1982,8,1,homicide,15-17 yrs,10,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,7.015771389007568 +1982,8,1,other external,15-17 yrs,24,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,16.83785057067871 +1982,8,1,internal,15-17 yrs,24,142536,16.028188705444336,0,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,16.83785057067871 +1982,8,1,all,18-20 yrs,204,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,121.42784881591797 +1982,8,1,MVA,18-20 yrs,97,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,57.73775100708008 +1982,8,1,suicide,18-20 yrs,30,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,17.857036590576172 +1982,8,1,homicide,18-20 yrs,14,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,8.333283424377441 +1982,8,1,other external,18-20 yrs,33,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,19.64274024963379 +1982,8,1,internal,18-20 yrs,30,168001,19.038833618164062,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,17.857036590576172 +1982,8,1,all,21-24 yrs,312,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,127.9916000366211 +1982,8,1,MVA,21-24 yrs,110,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,45.125244140625 +1982,8,1,suicide,21-24 yrs,55,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,22.5626220703125 +1982,8,1,homicide,21-24 yrs,30,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,12.306884765625 +1982,8,1,other external,21-24 yrs,59,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,24.20353889465332 +1982,8,1,internal,21-24 yrs,58,243766,22.516897201538086,1,0.08290155231952667,1.6399999856948853,0.46000000834465027,1.1799999475479126,3.2799999713897705,23.793310165405273 +1983,8,1,MVA,15-17 yrs,43,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,30.532617568969727 +1983,8,1,suicide,15-17 yrs,9,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,6.390547752380371 +1983,8,1,homicide,15-17 yrs,7,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,4.970426082611084 +1983,8,1,other external,15-17 yrs,17,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,12.07103443145752 +1983,8,1,internal,15-17 yrs,22,140833,16.003976821899414,0,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,15.621338844299316 +1983,8,1,all,18-20 yrs,180,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,110.4843521118164 +1983,8,1,MVA,18-20 yrs,71,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,43.57993698120117 +1983,8,1,suicide,18-20 yrs,27,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,16.57265281677246 +1983,8,1,homicide,18-20 yrs,11,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,6.751821517944336 +1983,8,1,other external,18-20 yrs,25,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,15.345048904418945 +1983,8,1,internal,18-20 yrs,46,162919,19.040393829345703,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,28.23488998413086 +1983,8,1,all,21-24 yrs,291,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,120.66177368164062 +1983,8,1,MVA,21-24 yrs,108,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,44.78168869018555 +1983,8,1,suicide,21-24 yrs,56,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,23.220134735107422 +1983,8,1,homicide,21-24 yrs,27,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,11.195422172546387 +1983,8,1,other external,21-24 yrs,41,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,17.000455856323242 +1983,8,1,internal,21-24 yrs,59,241170,22.524869918823242,1,0.0803212821483612,1.5700000524520874,0.46000000834465027,1.1200000047683716,3.1500000953674316,24.46407127380371 +1984,8,1,MVA,15-17 yrs,61,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,42.811222076416016 +1984,8,1,suicide,15-17 yrs,17,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,11.930996894836426 +1984,8,1,homicide,15-17 yrs,7,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,4.912763595581055 +1984,8,1,other external,15-17 yrs,16,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,11.22917366027832 +1984,8,1,internal,15-17 yrs,24,142486,15.986946105957031,0,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,16.843759536743164 +1984,8,1,all,18-20 yrs,158,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,101.81002807617188 +1984,8,1,MVA,18-20 yrs,78,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,50.26064682006836 +1984,8,1,suicide,18-20 yrs,22,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,14.176079750061035 +1984,8,1,homicide,18-20 yrs,14,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,9.02114200592041 +1984,8,1,other external,18-20 yrs,19,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,12.2429780960083 +1984,8,1,internal,18-20 yrs,25,155191,19.055397033691406,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,16.109182357788086 +1984,8,1,all,21-24 yrs,283,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,120.63497161865234 +1984,8,1,MVA,21-24 yrs,104,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,44.3322868347168 +1984,8,1,suicide,21-24 yrs,44,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,18.75596809387207 +1984,8,1,homicide,21-24 yrs,16,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,6.820352077484131 +1984,8,1,other external,21-24 yrs,55,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,23.44495964050293 +1984,8,1,internal,21-24 yrs,64,234592,22.54269027709961,1,0.07699710875749588,1.5099999904632568,0.46000000834465027,1.1200000047683716,3.0899999141693115,27.281408309936523 +1985,8,1,MVA,15-17 yrs,37,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,25.389244079589844 +1985,8,1,suicide,15-17 yrs,24,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,16.468698501586914 +1985,8,1,homicide,15-17 yrs,5,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,3.430979013442993 +1985,8,1,other external,15-17 yrs,16,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,10.979132652282715 +1985,8,1,internal,15-17 yrs,22,145731,15.981019973754883,0,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,15.096307754516602 +1985,8,1,all,18-20 yrs,147,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,98.5994873046875 +1985,8,1,MVA,18-20 yrs,64,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,42.92766571044922 +1985,8,1,suicide,18-20 yrs,31,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,20.793088912963867 +1985,8,1,homicide,18-20 yrs,11,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,7.378192901611328 +1985,8,1,other external,18-20 yrs,24,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,16.097875595092773 +1985,8,1,internal,18-20 yrs,17,149088,19.043027877807617,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,11.402661323547363 +1985,8,1,all,21-24 yrs,299,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,130.60760498046875 +1985,8,1,MVA,21-24 yrs,98,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,42.80784606933594 +1985,8,1,suicide,21-24 yrs,54,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,23.587995529174805 +1985,8,1,homicide,21-24 yrs,34,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,14.851701736450195 +1985,8,1,other external,21-24 yrs,47,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,20.530292510986328 +1985,8,1,internal,21-24 yrs,66,228930,22.550132751464844,1,0.07434944063425064,1.4700000286102295,0.5,1.1799999475479126,3.1500000953674316,28.82977294921875 +1986,8,1,MVA,15-17 yrs,54,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,36.1353874206543 +1986,8,1,suicide,15-17 yrs,27,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,18.06769371032715 +1986,8,1,homicide,15-17 yrs,4,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,2.6766953468322754 +1986,8,1,other external,15-17 yrs,16,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,10.706781387329102 +1986,8,1,internal,15-17 yrs,15,149438,15.989781379699707,0,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,10.037607192993164 +1986,8,1,all,18-20 yrs,185,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,127.92498779296875 +1986,8,1,MVA,18-20 yrs,80,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,55.318912506103516 +1986,8,1,suicide,18-20 yrs,31,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,21.436079025268555 +1986,8,1,homicide,18-20 yrs,14,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,9.68080997467041 +1986,8,1,other external,18-20 yrs,32,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,22.127565383911133 +1986,8,1,internal,18-20 yrs,28,144616,19.02077865600586,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,19.36161994934082 +1986,8,1,all,21-24 yrs,289,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,131.99179077148438 +1986,8,1,MVA,21-24 yrs,108,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,49.325653076171875 +1986,8,1,suicide,21-24 yrs,47,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,21.46579360961914 +1986,8,1,homicide,21-24 yrs,33,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,15.071727752685547 +1986,8,1,other external,21-24 yrs,43,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,19.638917922973633 +1986,8,1,internal,21-24 yrs,58,218953,22.550899505615234,1,0.07299269735813141,1.4700000286102295,0.46000000834465027,0.9399999976158142,2.869999885559082,26.489704132080078 +1987,8,0.7903138399124146,MVA,15-17 yrs,46,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,31.30955696105957 +1987,8,0.7903138399124146,suicide,15-17 yrs,14,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.528995513916016 +1987,8,0.7903138399124146,homicide,15-17 yrs,4,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,2.7225701808929443 +1987,8,0.7903138399124146,other external,15-17 yrs,21,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,14.293493270874023 +1987,8,0.7903138399124146,internal,15-17 yrs,14,146920,16.02427101135254,0,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.528995513916016 +1987,8,0.7903138399124146,all,18-20 yrs,126,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,86.73743438720703 +1987,8,0.7903138399124146,MVA,18-20 yrs,58,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,39.926753997802734 +1987,8,0.7903138399124146,suicide,18-20 yrs,20,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,13.76784610748291 +1987,8,0.7903138399124146,homicide,18-20 yrs,15,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,10.325884819030762 +1987,8,0.7903138399124146,other external,18-20 yrs,19,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,13.07945442199707 +1987,8,0.7903138399124146,internal,18-20 yrs,14,145266,19.00313949584961,0.7903138399124146,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,9.637492179870605 +1987,8,0.7903138399124146,all,21-24 yrs,236,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,113.62979888916016 +1987,8,0.7903138399124146,MVA,21-24 yrs,65,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,31.296342849731445 +1987,8,0.7903138399124146,suicide,21-24 yrs,54,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,26.000038146972656 +1987,8,0.7903138399124146,homicide,21-24 yrs,31,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,14.925948143005371 +1987,8,0.7903138399124146,other external,21-24 yrs,34,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,16.370393753051758 +1987,8,0.7903138399124146,internal,21-24 yrs,52,207692,22.560903549194336,1,0.07042253762483597,1.4299999475479126,0.4399999976158142,0.9300000071525574,2.799999952316284,25.03707504272461 +1988,8,0.3277689516544342,MVA,15-17 yrs,38,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,27.26731300354004 +1988,8,0.3277689516544342,suicide,15-17 yrs,24,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,17.221460342407227 +1988,8,0.3277689516544342,homicide,15-17 yrs,8,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,5.740487098693848 +1988,8,0.3277689516544342,other external,15-17 yrs,11,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,7.893169403076172 +1988,8,0.3277689516544342,internal,15-17 yrs,16,139361,16.049575805664062,0,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,11.480974197387695 +1988,8,0.3277689516544342,all,18-20 yrs,133,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,90.43558502197266 +1988,8,0.3277689516544342,MVA,18-20 yrs,45,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,30.598506927490234 +1988,8,0.3277689516544342,suicide,18-20 yrs,36,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,24.478805541992188 +1988,8,0.3277689516544342,homicide,18-20 yrs,8,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,5.43973445892334 +1988,8,0.3277689516544342,other external,18-20 yrs,21,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,14.279303550720215 +1988,8,0.3277689516544342,internal,18-20 yrs,23,147066,18.996076583862305,0.3277689516544342,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,15.639236450195312 +1988,8,0.3277689516544342,all,21-24 yrs,210,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,106.15228271484375 +1988,8,0.3277689516544342,MVA,21-24 yrs,75,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,37.911529541015625 +1988,8,0.3277689516544342,suicide,21-24 yrs,48,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,24.263378143310547 +1988,8,0.3277689516544342,homicide,21-24 yrs,23,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,11.626202583312988 +1988,8,0.3277689516544342,other external,21-24 yrs,25,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,12.637176513671875 +1988,8,0.3277689516544342,internal,21-24 yrs,39,197829,22.559478759765625,1,0.06762468069791794,1.4199999570846558,0.38999998569488525,0.9100000262260437,2.7200000286102295,19.7139949798584 +1989,8,0.041140116751194,MVA,15-17 yrs,34,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,25.960540771484375 +1989,8,0.041140116751194,suicide,15-17 yrs,19,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,14.507360458374023 +1989,8,0.041140116751194,homicide,15-17 yrs,5,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,3.8177263736724854 +1989,8,0.041140116751194,other external,15-17 yrs,10,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,7.635452747344971 +1989,8,0.041140116751194,internal,15-17 yrs,14,130968,16.027456283569336,0,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,10.689634323120117 +1989,8,0.041140116751194,all,18-20 yrs,143,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,95.310455322265625 +1989,8,0.041140116751194,MVA,18-20 yrs,55,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,36.657867431640625 +1989,8,0.041140116751194,suicide,18-20 yrs,40,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,26.660268783569336 +1989,8,0.041140116751194,homicide,18-20 yrs,14,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,9.331093788146973 +1989,8,0.041140116751194,other external,18-20 yrs,10,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,6.665067195892334 +1989,8,0.041140116751194,internal,18-20 yrs,24,150036,19.00501251220703,0.041140116751194,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,15.996160507202148 +1989,8,0.041140116751194,all,21-24 yrs,182,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,95.53705596923828 +1989,8,0.041140116751194,MVA,21-24 yrs,64,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,33.5954475402832 +1989,8,0.041140116751194,suicide,21-24 yrs,34,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,17.84758186340332 +1989,8,0.041140116751194,homicide,21-24 yrs,12,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,6.29914665222168 +1989,8,0.041140116751194,other external,21-24 yrs,31,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,16.272794723510742 +1989,8,0.041140116751194,internal,21-24 yrs,41,190502,22.53317642211914,1,0.06451612710952759,1.399999976158142,0.3700000047683716,0.8399999737739563,2.5999999046325684,21.522083282470703 +1990,8,0,MVA,15-17 yrs,35,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,26.958538055419922 +1990,8,0,suicide,15-17 yrs,19,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,14.634634971618652 +1990,8,0,homicide,15-17 yrs,11,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,8.47268295288086 +1990,8,0,other external,15-17 yrs,10,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,7.702439308166504 +1990,8,0,internal,15-17 yrs,26,129829,15.993522644042969,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,20.026342391967773 +1990,8,0,all,18-20 yrs,139,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,94.31977844238281 +1990,8,0,MVA,18-20 yrs,61,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,41.39213180541992 +1990,8,0,suicide,18-20 yrs,28,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,18.99966812133789 +1990,8,0,homicide,18-20 yrs,14,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,9.499834060668945 +1990,8,0,other external,18-20 yrs,18,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,12.214072227478027 +1990,8,0,internal,18-20 yrs,18,147371,19.042165756225586,0,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,12.214072227478027 +1990,8,0,all,21-24 yrs,187,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,99.66901397705078 +1990,8,0,MVA,21-24 yrs,56,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,29.84740447998047 +1990,8,0,suicide,21-24 yrs,42,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,22.38555335998535 +1990,8,0,homicide,21-24 yrs,25,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,13.324734687805176 +1990,8,0,other external,21-24 yrs,27,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,14.39071273803711 +1990,8,0,internal,21-24 yrs,37,187621,22.490148544311523,1,0.061208873987197876,1.350000023841858,0.28999999165534973,0.75,2.390000104904175,19.72060775756836 +1991,8,0,MVA,15-17 yrs,35,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,26.58261489868164 +1991,8,0,suicide,15-17 yrs,21,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,15.949568748474121 +1991,8,0,homicide,15-17 yrs,10,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,7.595032691955566 +1991,8,0,other external,15-17 yrs,16,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,12.152052879333496 +1991,8,0,internal,15-17 yrs,16,131665,15.992511749267578,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,12.152052879333496 +1991,8,0,all,18-20 yrs,145,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,101.50152587890625 +1991,8,0,MVA,18-20 yrs,62,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,43.40065002441406 +1991,8,0,suicide,18-20 yrs,29,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,20.300304412841797 +1991,8,0,homicide,18-20 yrs,23,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,16.10024070739746 +1991,8,0,other external,18-20 yrs,17,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,11.900178909301758 +1991,8,0,internal,18-20 yrs,14,142855,19.056861877441406,0,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,9.80014705657959 +1991,8,0,all,21-24 yrs,219,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,114.7431869506836 +1991,8,0,MVA,21-24 yrs,60,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,31.436491012573242 +1991,8,0,suicide,21-24 yrs,37,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,19.385835647583008 +1991,8,0,homicide,21-24 yrs,31,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,16.2421875 +1991,8,0,other external,21-24 yrs,29,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,15.194303512573242 +1991,8,0,internal,21-24 yrs,62,190861,22.465694427490234,1,0.05873715132474899,1.3899999856948853,0.3499999940395355,0.8700000047683716,2.609999895095825,32.484375 +1992,8,0,MVA,15-17 yrs,35,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,25.315906524658203 +1992,8,0,suicide,15-17 yrs,31,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,22.42266082763672 +1992,8,0,homicide,15-17 yrs,15,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,10.849674224853516 +1992,8,0,other external,15-17 yrs,17,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,12.296297073364258 +1992,8,0,internal,15-17 yrs,16,138253,15.989381790161133,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,11.572985649108887 +1992,8,0,all,18-20 yrs,137,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,98.26353454589844 +1992,8,0,MVA,18-20 yrs,55,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,39.4488639831543 +1992,8,0,suicide,18-20 yrs,21,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,15.06229305267334 +1992,8,0,homicide,18-20 yrs,23,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,16.496797561645508 +1992,8,0,other external,18-20 yrs,13,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,9.3242769241333 +1992,8,0,internal,18-20 yrs,25,139421,19.038602828979492,0,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,17.93130111694336 +1992,8,0,all,21-24 yrs,187,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,94.91277313232422 +1992,8,0,MVA,21-24 yrs,52,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,26.392858505249023 +1992,8,0,suicide,21-24 yrs,41,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,20.80975341796875 +1992,8,0,homicide,21-24 yrs,23,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,11.6737642288208 +1992,8,0,other external,21-24 yrs,26,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,13.196429252624512 +1992,8,0,internal,21-24 yrs,45,197023,22.465320587158203,1,0.05702066794037819,1.340000033378601,0.36000001430511475,0.8100000023841858,2.5199999809265137,22.83997344970703 +1993,8,0,MVA,15-17 yrs,36,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,25.063703536987305 +1993,8,0,suicide,15-17 yrs,15,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,10.443209648132324 +1993,8,0,homicide,15-17 yrs,16,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,11.139423370361328 +1993,8,0,other external,15-17 yrs,18,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,12.531851768493652 +1993,8,0,internal,15-17 yrs,23,143634,15.991025924682617,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,16.012922286987305 +1993,8,0,all,18-20 yrs,146,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,102.97571563720703 +1993,8,0,MVA,18-20 yrs,49,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,34.56034469604492 +1993,8,0,suicide,18-20 yrs,33,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,23.275333404541016 +1993,8,0,homicide,18-20 yrs,18,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,12.695635795593262 +1993,8,0,other external,18-20 yrs,20,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,14.10626220703125 +1993,8,0,internal,18-20 yrs,26,141781,19.009733200073242,0,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,18.3381404876709 +1993,8,0,all,21-24 yrs,207,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,103.08918762207031 +1993,8,0,MVA,21-24 yrs,58,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,28.8848934173584 +1993,8,0,suicide,21-24 yrs,46,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,22.908708572387695 +1993,8,0,homicide,21-24 yrs,32,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,15.936492919921875 +1993,8,0,other external,21-24 yrs,29,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,14.4424467086792 +1993,8,0,internal,21-24 yrs,42,200797,22.50568962097168,1,0.05536331981420517,1.399999976158142,0.36000001430511475,0.8600000143051147,2.630000114440918,20.91664695739746 +1994,8,0,MVA,15-17 yrs,43,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,28.579214096069336 +1994,8,0,suicide,15-17 yrs,23,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,15.286556243896484 +1994,8,0,homicide,15-17 yrs,15,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,9.96949291229248 +1994,8,0,other external,15-17 yrs,16,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,10.634126663208008 +1994,8,0,internal,15-17 yrs,30,150459,15.999661445617676,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,19.93898582458496 +1994,8,0,all,18-20 yrs,143,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,97.733673095703125 +1994,8,0,MVA,18-20 yrs,60,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,41.00713348388672 +1994,8,0,suicide,18-20 yrs,24,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,16.402854919433594 +1994,8,0,homicide,18-20 yrs,18,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,12.302140235900879 +1994,8,0,other external,18-20 yrs,16,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,10.935235977172852 +1994,8,0,internal,18-20 yrs,25,146316,19.004074096679688,0,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,17.086305618286133 +1994,8,0,all,21-24 yrs,216,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,107.67481994628906 +1994,8,0,MVA,21-24 yrs,61,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,30.408166885375977 +1994,8,0,suicide,21-24 yrs,41,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,20.438276290893555 +1994,8,0,homicide,21-24 yrs,31,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,15.453330993652344 +1994,8,0,other external,21-24 yrs,29,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,14.456341743469238 +1994,8,0,internal,21-24 yrs,54,200604,22.541593551635742,1,0.05398110672831535,1.3600000143051147,0.3499999940395355,0.8399999737739563,2.549999952316284,26.918704986572266 +1995,8,0,MVA,15-17 yrs,50,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,31.618953704833984 +1995,8,0,suicide,15-17 yrs,14,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,8.853306770324707 +1995,8,0,homicide,15-17 yrs,17,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,10.750444412231445 +1995,8,0,other external,15-17 yrs,15,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,9.485686302185059 +1995,8,0,internal,15-17 yrs,16,158133,15.986796379089355,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,10.118064880371094 +1995,8,0,all,18-20 yrs,163,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,106.11910247802734 +1995,8,0,MVA,18-20 yrs,66,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,42.96847152709961 +1995,8,0,suicide,18-20 yrs,34,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,22.135272979736328 +1995,8,0,homicide,18-20 yrs,19,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,12.369710922241211 +1995,8,0,other external,18-20 yrs,12,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,7.812448978424072 +1995,8,0,internal,18-20 yrs,32,153601,19.00050163269043,0,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,20.83319854736328 +1995,8,0,all,21-24 yrs,219,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,110.71846008300781 +1995,8,0,MVA,21-24 yrs,68,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,34.378334045410156 +1995,8,0,suicide,21-24 yrs,49,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,24.77262306213379 +1995,8,0,homicide,21-24 yrs,31,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,15.672475814819336 +1995,8,0,other external,21-24 yrs,37,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,18.70585823059082 +1995,8,0,internal,21-24 yrs,34,197799,22.542449951171875,1,0.05249343812465668,1.340000033378601,0.3499999940395355,0.7799999713897705,2.4700000286102295,17.189167022705078 +1996,8,0,MVA,15-17 yrs,48,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,28.924898147583008 +1996,8,0,suicide,15-17 yrs,15,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,9.039030075073242 +1996,8,0,homicide,15-17 yrs,10,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,6.026020526885986 +1996,8,0,other external,15-17 yrs,8,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,4.820816516876221 +1996,8,0,internal,15-17 yrs,16,165947,15.997746467590332,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,9.641633033752441 +1996,8,0,all,18-20 yrs,145,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,91.26097869873047 +1996,8,0,MVA,18-20 yrs,49,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,30.839916229248047 +1996,8,0,suicide,18-20 yrs,25,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,15.734650611877441 +1996,8,0,homicide,18-20 yrs,19,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,11.958334922790527 +1996,8,0,other external,18-20 yrs,30,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,18.881580352783203 +1996,8,0,internal,18-20 yrs,22,158885,18.996885299682617,0,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,13.846492767333984 +1996,8,0,all,21-24 yrs,215,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,110.05210876464844 +1996,8,0,MVA,21-24 yrs,67,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,34.29530715942383 +1996,8,0,suicide,21-24 yrs,56,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,28.664735794067383 +1996,8,0,homicide,21-24 yrs,30,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,15.356107711791992 +1996,8,0,other external,21-24 yrs,33,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,16.891719818115234 +1996,8,0,internal,21-24 yrs,29,195362,22.498592376708984,1,0.05098789185285568,1.3600000143051147,0.3700000047683716,0.8399999737739563,2.569999933242798,14.84423828125 +1970,9,0,MVA,15-17 yrs,45,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,26.844837188720703 +1970,9,0,suicide,15-17 yrs,9,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,5.368967533111572 +1970,9,0,homicide,15-17 yrs,6,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,3.5793116092681885 +1970,9,0,other external,15-17 yrs,16,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,9.544831275939941 +1970,9,0,internal,15-17 yrs,41,167630,15.978243827819824,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,24.458629608154297 +1970,9,0,all,18-20 yrs,135,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,94.44588470458984 +1970,9,0,MVA,18-20 yrs,46,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,32.18156051635742 +1970,9,0,suicide,18-20 yrs,10,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,6.995991230010986 +1970,9,0,homicide,18-20 yrs,10,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,6.995991230010986 +1970,9,0,other external,18-20 yrs,26,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,18.189577102661133 +1970,9,0,internal,18-20 yrs,43,142939,18.969987869262695,0,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,30.082761764526367 +1970,9,0,all,21-24 yrs,185,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,100.7553939819336 +1970,9,0,MVA,21-24 yrs,63,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,34.31129455566406 +1970,9,0,suicide,21-24 yrs,18,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,9.803227424621582 +1970,9,0,homicide,21-24 yrs,14,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,7.624732494354248 +1970,9,0,other external,21-24 yrs,22,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,11.981722831726074 +1970,9,0,internal,21-24 yrs,68,183613,22.468660354614258,1,0.20784835517406464,1,0.3400000035762787,1.4600000381469727,2.799999952316284,37.03441619873047 +1971,9,0,MVA,15-17 yrs,43,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,24.9801025390625 +1971,9,0,suicide,15-17 yrs,3,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,1.7427978515625 +1971,9,0,homicide,15-17 yrs,5,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,2.9046630859375 +1971,9,0,other external,15-17 yrs,27,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,15.6851806640625 +1971,9,0,internal,15-17 yrs,42,172137,15.98206615447998,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,24.399169921875 +1971,9,0,all,18-20 yrs,150,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,99.53813934326172 +1971,9,0,MVA,18-20 yrs,66,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,43.796783447265625 +1971,9,0,suicide,18-20 yrs,8,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,5.308701038360596 +1971,9,0,homicide,18-20 yrs,9,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,5.972288608551025 +1971,9,0,other external,18-20 yrs,20,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,13.27175235748291 +1971,9,0,internal,18-20 yrs,47,150696,18.968360900878906,0,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,31.188617706298828 +1971,9,0,all,21-24 yrs,212,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,109.45494842529297 +1971,9,0,MVA,21-24 yrs,61,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,31.494112014770508 +1971,9,0,suicide,21-24 yrs,26,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,13.42371940612793 +1971,9,0,homicide,21-24 yrs,7,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,3.6140782833099365 +1971,9,0,other external,21-24 yrs,29,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,14.972610473632812 +1971,9,0,internal,21-24 yrs,89,193687,22.57193374633789,1,0.19912384450435638,0.9900000095367432,0.3700000047683716,1.440000057220459,2.799999952316284,45.95042419433594 +1972,9,0.25205478072166443,MVA,15-17 yrs,32,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,18.21224021911621 +1972,9,0.25205478072166443,suicide,15-17 yrs,2,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,1.1382650136947632 +1972,9,0.25205478072166443,homicide,15-17 yrs,4,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,2.2765300273895264 +1972,9,0.25205478072166443,other external,15-17 yrs,26,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,14.797445297241211 +1972,9,0.25205478072166443,internal,15-17 yrs,48,175706,15.978896141052246,0,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,27.318361282348633 +1972,9,0.25205478072166443,all,18-20 yrs,112,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,71.59385681152344 +1972,9,0.25205478072166443,MVA,18-20 yrs,58,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,37.07538986206055 +1972,9,0.25205478072166443,suicide,18-20 yrs,4,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,2.5569236278533936 +1972,9,0.25205478072166443,homicide,18-20 yrs,2,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,1.2784618139266968 +1972,9,0.25205478072166443,other external,18-20 yrs,10,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,6.392308712005615 +1972,9,0.25205478072166443,internal,18-20 yrs,38,156438,18.98273468017578,0.25205478072166443,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,24.290773391723633 +1972,9,0.25205478072166443,all,21-24 yrs,198,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,104.66167449951172 +1972,9,0.25205478072166443,MVA,21-24 yrs,78,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,41.23035430908203 +1972,9,0.25205478072166443,suicide,21-24 yrs,20,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,10.57188606262207 +1972,9,0.25205478072166443,homicide,21-24 yrs,12,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,6.3431315422058105 +1972,9,0.25205478072166443,other external,21-24 yrs,18,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,9.514698028564453 +1972,9,0.25205478072166443,internal,21-24 yrs,70,189181,22.50897216796875,1,0.19293101131916046,0.9599999785423279,0.3400000035762787,1.3700000047683716,2.6700000762939453,37.00160217285156 +1973,9,1,MVA,15-17 yrs,57,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,31.73065757751465 +1973,9,1,suicide,15-17 yrs,7,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.896747350692749 +1973,9,1,homicide,15-17 yrs,7,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.896747350692749 +1973,9,1,other external,15-17 yrs,20,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,11.133563995361328 +1973,9,1,internal,15-17 yrs,30,179637,15.97916316986084,0,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,16.700345993041992 +1973,9,1,all,18-20 yrs,177,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,110.74197387695312 +1973,9,1,MVA,18-20 yrs,102,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,63.817405700683594 +1973,9,1,suicide,18-20 yrs,8,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,5.005286693572998 +1973,9,1,homicide,18-20 yrs,6,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,3.753965139389038 +1973,9,1,other external,18-20 yrs,24,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,15.015860557556152 +1973,9,1,internal,18-20 yrs,37,159831,18.986623764038086,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,23.149452209472656 +1973,9,1,all,21-24 yrs,167,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,92.27130889892578 +1973,9,1,MVA,21-24 yrs,64,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,35.3614616394043 +1973,9,1,suicide,21-24 yrs,15,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,8.287842750549316 +1973,9,1,homicide,21-24 yrs,12,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,6.630273818969727 +1973,9,1,other external,21-24 yrs,22,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,12.155502319335938 +1973,9,1,internal,21-24 yrs,54,180988,22.4988956451416,1,0.18163323402404785,1.0199999809265137,0.3499999940395355,1.350000023841858,2.7200000286102295,29.836233139038086 +1974,9,1,MVA,15-17 yrs,33,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,18.15511131286621 +1974,9,1,suicide,15-17 yrs,8,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,4.401238918304443 +1974,9,1,homicide,15-17 yrs,3,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,1.650464653968811 +1974,9,1,other external,15-17 yrs,16,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,8.802477836608887 +1974,9,1,internal,15-17 yrs,28,181767,15.992693901062012,0,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,15.404335975646973 +1974,9,1,all,18-20 yrs,139,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,85.556365966796875 +1974,9,1,MVA,18-20 yrs,60,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,36.93080520629883 +1974,9,1,suicide,18-20 yrs,15,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,9.232701301574707 +1974,9,1,homicide,18-20 yrs,4,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,2.4620535373687744 +1974,9,1,other external,18-20 yrs,22,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,13.541295051574707 +1974,9,1,internal,18-20 yrs,38,162466,18.99127769470215,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,23.389509201049805 +1974,9,1,all,21-24 yrs,177,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,91.04891204833984 +1974,9,1,MVA,21-24 yrs,57,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,29.320837020874023 +1974,9,1,suicide,21-24 yrs,25,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,12.860015869140625 +1974,9,1,homicide,21-24 yrs,17,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,8.744811058044434 +1974,9,1,other external,21-24 yrs,31,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,15.946419715881348 +1974,9,1,internal,21-24 yrs,47,194401,22.460166931152344,1,0.16358044743537903,1.0399999618530273,0.3499999940395355,1.340000033378601,2.7200000286102295,24.176830291748047 +1975,9,1,MVA,15-17 yrs,34,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,18.755929946899414 +1975,9,1,suicide,15-17 yrs,6,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,3.3098700046539307 +1975,9,1,homicide,15-17 yrs,6,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,3.3098700046539307 +1975,9,1,other external,15-17 yrs,22,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,12.136190414428711 +1975,9,1,internal,15-17 yrs,29,181276,16.006603240966797,0,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,15.997705459594727 +1975,9,1,all,18-20 yrs,172,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,103.488525390625 +1975,9,1,MVA,18-20 yrs,65,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,39.10903549194336 +1975,9,1,suicide,18-20 yrs,20,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,12.033549308776855 +1975,9,1,homicide,18-20 yrs,7,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,4.211742401123047 +1975,9,1,other external,18-20 yrs,22,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,13.23690414428711 +1975,9,1,internal,18-20 yrs,58,166202,18.987262725830078,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,34.89729309082031 +1975,9,1,all,21-24 yrs,184,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,91.89615631103516 +1975,9,1,MVA,21-24 yrs,51,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,25.47121810913086 +1975,9,1,suicide,21-24 yrs,30,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,14.98306941986084 +1975,9,1,homicide,21-24 yrs,20,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,9.988712310791016 +1975,9,1,other external,21-24 yrs,20,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,9.988712310791016 +1975,9,1,internal,21-24 yrs,63,200226,22.46039390563965,1,0.14989806711673737,1.0499999523162842,0.3499999940395355,1.2899999618530273,2.690000057220459,31.464445114135742 +1976,9,1,MVA,15-17 yrs,41,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,22.677993774414062 +1976,9,1,suicide,15-17 yrs,6,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,3.3187308311462402 +1976,9,1,homicide,15-17 yrs,4,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,2.21248722076416 +1976,9,1,other external,15-17 yrs,12,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,6.6374616622924805 +1976,9,1,internal,15-17 yrs,27,180792,15.998058319091797,0,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,14.93428897857666 +1976,9,1,all,18-20 yrs,143,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,84.747772216796875 +1976,9,1,MVA,18-20 yrs,70,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,41.48492431640625 +1976,9,1,suicide,18-20 yrs,14,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.296984672546387 +1976,9,1,homicide,18-20 yrs,9,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,5.333775997161865 +1976,9,1,other external,18-20 yrs,15,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.889626502990723 +1976,9,1,internal,18-20 yrs,35,168736,18.986825942993164,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,20.742462158203125 +1976,9,1,all,21-24 yrs,177,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,86.32251739501953 +1976,9,1,MVA,21-24 yrs,53,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,25.847984313964844 +1976,9,1,suicide,21-24 yrs,30,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,14.630934715270996 +1976,9,1,homicide,21-24 yrs,18,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,8.778560638427734 +1976,9,1,other external,21-24 yrs,27,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,13.167840957641602 +1976,9,1,internal,21-24 yrs,49,205045,22.4705753326416,1,0.1417313814163208,1.0299999713897705,0.3700000047683716,1.2599999904632568,2.6600000858306885,23.897193908691406 +1977,9,1,MVA,15-17 yrs,40,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,22.330150604248047 +1977,9,1,suicide,15-17 yrs,4,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,2.2330150604248047 +1977,9,1,homicide,15-17 yrs,6,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,3.349522590637207 +1977,9,1,other external,15-17 yrs,22,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,12.281582832336426 +1977,9,1,internal,15-17 yrs,21,179130,15.998604774475098,0,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,11.723329544067383 +1977,9,1,all,18-20 yrs,154,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,90.4839096069336 +1977,9,1,MVA,18-20 yrs,70,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,41.129051208496094 +1977,9,1,suicide,18-20 yrs,14,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.225810050964355 +1977,9,1,homicide,18-20 yrs,18,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,10.576042175292969 +1977,9,1,other external,18-20 yrs,14,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.225810050964355 +1977,9,1,internal,18-20 yrs,38,170196,18.999723434448242,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,22.327199935913086 +1977,9,1,all,21-24 yrs,207,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,99.39116668701172 +1977,9,1,MVA,21-24 yrs,71,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,34.09069061279297 +1977,9,1,suicide,21-24 yrs,30,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,14.40451717376709 +1977,9,1,homicide,21-24 yrs,17,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,8.162559509277344 +1977,9,1,other external,21-24 yrs,24,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,11.523613929748535 +1977,9,1,internal,21-24 yrs,65,208268,22.47745132446289,1,0.13307783007621765,1.0499999523162842,0.3499999940395355,1.2100000381469727,2.609999895095825,31.209787368774414 +1978,9,1,MVA,15-17 yrs,50,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,28.035078048706055 +1978,9,1,suicide,15-17 yrs,2,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,1.1214030981063843 +1978,9,1,homicide,15-17 yrs,7,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,3.9249107837677 +1978,9,1,other external,15-17 yrs,22,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,12.335433959960938 +1978,9,1,internal,15-17 yrs,31,178348,16.01217269897461,0,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,17.38174819946289 +1978,9,1,all,18-20 yrs,177,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,104.78518676757812 +1978,9,1,MVA,18-20 yrs,92,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,54.46461868286133 +1978,9,1,suicide,18-20 yrs,21,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,12.432141304016113 +1978,9,1,homicide,18-20 yrs,8,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,4.736053943634033 +1978,9,1,other external,18-20 yrs,24,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,14.208161354064941 +1978,9,1,internal,18-20 yrs,32,168917,19.01266860961914,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,18.944215774536133 +1978,9,1,all,21-24 yrs,233,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,109.81397247314453 +1978,9,1,MVA,21-24 yrs,83,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,39.118282318115234 +1978,9,1,suicide,21-24 yrs,37,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,17.438270568847656 +1978,9,1,homicide,21-24 yrs,22,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,10.368701934814453 +1978,9,1,other external,21-24 yrs,28,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,13.196529388427734 +1978,9,1,internal,21-24 yrs,63,212177,22.474363327026367,1,0.12368889898061752,1.0700000524520874,0.3799999952316284,1.2000000476837158,2.6500000953674316,29.692190170288086 +1979,9,1,MVA,15-17 yrs,61,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,34.593833923339844 +1979,9,1,suicide,15-17 yrs,7,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,3.9697842597961426 +1979,9,1,homicide,15-17 yrs,7,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,3.9697842597961426 +1979,9,1,other external,15-17 yrs,13,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,7.3724565505981445 +1979,9,1,internal,15-17 yrs,26,176332,16.003204345703125,0,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,14.744913101196289 +1979,9,1,all,18-20 yrs,207,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,123.18055725097656 +1979,9,1,MVA,18-20 yrs,112,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,66.6484146118164 +1979,9,1,suicide,18-20 yrs,22,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,13.091653823852539 +1979,9,1,homicide,18-20 yrs,13,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,7.7359771728515625 +1979,9,1,other external,18-20 yrs,30,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,17.85225486755371 +1979,9,1,internal,18-20 yrs,30,168046,19.00368881225586,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,17.85225486755371 +1979,9,1,all,21-24 yrs,221,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,102.49703216552734 +1979,9,1,MVA,21-24 yrs,87,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,40.349510192871094 +1979,9,1,suicide,21-24 yrs,22,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,10.203324317932129 +1979,9,1,homicide,21-24 yrs,13,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,6.029237270355225 +1979,9,1,other external,21-24 yrs,28,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,12.98604965209961 +1979,9,1,internal,21-24 yrs,71,215616,22.47417640686035,1,0.11108148843050003,1.1299999952316284,0.4000000059604645,1.2000000476837158,2.7200000286102295,32.92890930175781 +1980,9,1,MVA,15-17 yrs,47,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,26.839351654052734 +1980,9,1,suicide,15-17 yrs,4,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,2.2842001914978027 +1980,9,1,homicide,15-17 yrs,5,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,2.855250120162964 +1980,9,1,other external,15-17 yrs,31,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,17.702550888061523 +1980,9,1,internal,15-17 yrs,32,175116,16.008176803588867,0,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,18.273601531982422 +1980,9,1,all,18-20 yrs,189,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,111.81844329833984 +1980,9,1,MVA,18-20 yrs,97,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,57.38829803466797 +1980,9,1,suicide,18-20 yrs,16,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,9.466111183166504 +1980,9,1,homicide,18-20 yrs,9,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,5.324687480926514 +1980,9,1,other external,18-20 yrs,24,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,14.199167251586914 +1980,9,1,internal,18-20 yrs,43,169024,18.994598388671875,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,25.440174102783203 +1980,9,1,all,21-24 yrs,259,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,118.8744125366211 +1980,9,1,MVA,21-24 yrs,101,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,46.35643005371094 +1980,9,1,suicide,21-24 yrs,27,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,12.392313003540039 +1980,9,1,homicide,21-24 yrs,23,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,10.556414604187012 +1980,9,1,other external,21-24 yrs,40,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,18.35898208618164 +1980,9,1,internal,21-24 yrs,68,217877,22.4855899810791,1,0.09787033498287201,1.059999942779541,0.4300000071525574,1.2100000381469727,2.700000047683716,31.210269927978516 +1981,9,1,MVA,15-17 yrs,39,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,22.84763526916504 +1981,9,1,suicide,15-17 yrs,9,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,5.272531509399414 +1981,9,1,homicide,15-17 yrs,14,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,8.201715469360352 +1981,9,1,other external,15-17 yrs,11,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,6.444204807281494 +1981,9,1,internal,15-17 yrs,25,170696,16.02732276916504,0,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,14.645919799804688 +1981,9,1,all,18-20 yrs,170,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,98.34661865234375 +1981,9,1,MVA,18-20 yrs,87,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,50.33032989501953 +1981,9,1,suicide,18-20 yrs,19,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,10.991681098937988 +1981,9,1,homicide,18-20 yrs,9,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,5.206585884094238 +1981,9,1,other external,18-20 yrs,20,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,11.5701904296875 +1981,9,1,internal,18-20 yrs,35,172858,18.99656867980957,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,20.247833251953125 +1981,9,1,all,21-24 yrs,215,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,98.170379638671875 +1981,9,1,MVA,21-24 yrs,85,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,38.811546325683594 +1981,9,1,suicide,21-24 yrs,24,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,10.9585542678833 +1981,9,1,homicide,21-24 yrs,16,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,7.3057026863098145 +1981,9,1,other external,21-24 yrs,27,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,12.328372955322266 +1981,9,1,internal,21-24 yrs,63,219007,22.506946563720703,1,0.08871854841709137,1.0499999523162842,0.4399999976158142,1.1799999475479126,2.6700000762939453,28.766202926635742 +1982,9,0.8333890438079834,MVA,15-17 yrs,32,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,19.62491798400879 +1982,9,0.8333890438079834,suicide,15-17 yrs,4,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,2.4531147480010986 +1982,9,0.8333890438079834,homicide,15-17 yrs,7,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,4.2929511070251465 +1982,9,0.8333890438079834,other external,15-17 yrs,26,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,15.945246696472168 +1982,9,0.8333890438079834,internal,15-17 yrs,28,163058,16.036270141601562,0,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,17.171804428100586 +1982,9,0.8333890438079834,all,18-20 yrs,171,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,97.89105224609375 +1982,9,0.8333890438079834,MVA,18-20 yrs,67,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,38.35497283935547 +1982,9,0.8333890438079834,suicide,18-20 yrs,14,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,8.014472007751465 +1982,9,0.8333890438079834,homicide,18-20 yrs,14,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,8.014472007751465 +1982,9,0.8333890438079834,other external,18-20 yrs,28,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,16.02894401550293 +1982,9,0.8333890438079834,internal,18-20 yrs,48,174684,18.997888565063477,0.8333890438079834,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,27.47818946838379 +1982,9,0.8333890438079834,all,21-24 yrs,239,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,109.14787292480469 +1982,9,0.8333890438079834,MVA,21-24 yrs,83,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,37.9049072265625 +1982,9,0.8333890438079834,suicide,21-24 yrs,22,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,10.047083854675293 +1982,9,0.8333890438079834,homicide,21-24 yrs,24,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,10.960455894470215 +1982,9,0.8333890438079834,other external,21-24 yrs,43,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,19.637483596801758 +1982,9,0.8333890438079834,internal,21-24 yrs,67,218969,22.500322341918945,1,0.08357011526823044,1.0399999618530273,0.49000000953674316,1.2000000476837158,2.7300000190734863,30.597938537597656 +1983,9,0.6795986294746399,MVA,15-17 yrs,27,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,17.283096313476562 +1983,9,0.6795986294746399,suicide,15-17 yrs,9,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,5.761032581329346 +1983,9,0.6795986294746399,homicide,15-17 yrs,6,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,3.8406882286071777 +1983,9,0.6795986294746399,other external,15-17 yrs,12,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,7.6813764572143555 +1983,9,0.6795986294746399,internal,15-17 yrs,31,156222,16.033912658691406,0,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,19.843555450439453 +1983,9,0.6795986294746399,all,18-20 yrs,135,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,77.00995635986328 +1983,9,0.6795986294746399,MVA,18-20 yrs,51,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,29.0926513671875 +1983,9,0.6795986294746399,suicide,18-20 yrs,23,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,13.12021541595459 +1983,9,0.6795986294746399,homicide,18-20 yrs,17,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,9.697550773620605 +1983,9,0.6795986294746399,other external,18-20 yrs,20,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,11.408883094787598 +1983,9,0.6795986294746399,internal,18-20 yrs,24,175302,19.01601791381836,0.6795986294746399,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,13.690659523010254 +1983,9,0.6795986294746399,all,21-24 yrs,211,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,95.79457092285156 +1983,9,0.6795986294746399,MVA,21-24 yrs,79,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,35.866214752197266 +1983,9,0.6795986294746399,suicide,21-24 yrs,18,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,8.172048568725586 +1983,9,0.6795986294746399,homicide,21-24 yrs,23,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,10.442062377929688 +1983,9,0.6795986294746399,other external,21-24 yrs,40,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,18.16010856628418 +1983,9,0.6795986294746399,internal,21-24 yrs,51,220263,22.488847732543945,1,0.09716284275054932,1.100000023841858,0.49000000953674316,1.2300000190734863,2.819999933242798,23.154138565063477 +1984,9,0.6682621240615845,MVA,15-17 yrs,28,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,18.441314697265625 +1984,9,0.6682621240615845,suicide,15-17 yrs,6,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,3.9517099857330322 +1984,9,0.6682621240615845,homicide,15-17 yrs,6,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,3.9517099857330322 +1984,9,0.6682621240615845,other external,15-17 yrs,3,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,1.9758549928665161 +1984,9,0.6682621240615845,internal,15-17 yrs,28,151833,16.018335342407227,0,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,18.441314697265625 +1984,9,0.6682621240615845,all,18-20 yrs,133,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,77.54966735839844 +1984,9,0.6682621240615845,MVA,18-20 yrs,62,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,36.150970458984375 +1984,9,0.6682621240615845,suicide,18-20 yrs,12,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,6.996962070465088 +1984,9,0.6682621240615845,homicide,18-20 yrs,12,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,6.996962070465088 +1984,9,0.6682621240615845,other external,18-20 yrs,14,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,8.163122177124023 +1984,9,0.6682621240615845,internal,18-20 yrs,33,171503,19.033620834350586,0.6682621240615845,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,19.24164581298828 +1984,9,0.6682621240615845,all,21-24 yrs,220,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,98.91374969482422 +1984,9,0.6682621240615845,MVA,21-24 yrs,73,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,32.821380615234375 +1984,9,0.6682621240615845,suicide,21-24 yrs,23,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,10.340982437133789 +1984,9,0.6682621240615845,homicide,21-24 yrs,31,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,13.937846183776855 +1984,9,0.6682621240615845,other external,21-24 yrs,24,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,10.790590286254883 +1984,9,0.6682621240615845,internal,21-24 yrs,69,222416,22.471988677978516,1,0.09314166754484177,1.100000023841858,0.5,1.2000000476837158,2.799999952316284,31.022947311401367 +1985,9,0.4061198830604553,MVA,15-17 yrs,35,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,23.22618293762207 +1985,9,0.4061198830604553,suicide,15-17 yrs,3,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,1.9908157587051392 +1985,9,0.4061198830604553,homicide,15-17 yrs,7,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,4.645236492156982 +1985,9,0.4061198830604553,other external,15-17 yrs,4,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,2.654420852661133 +1985,9,0.4061198830604553,internal,15-17 yrs,27,150692,16.004772186279297,0,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,17.917341232299805 +1985,9,0.4061198830604553,all,18-20 yrs,140,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,85.068115234375 +1985,9,0.4061198830604553,MVA,18-20 yrs,57,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,34.6348762512207 +1985,9,0.4061198830604553,suicide,18-20 yrs,14,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,8.506811141967773 +1985,9,0.4061198830604553,homicide,18-20 yrs,17,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,10.329699516296387 +1985,9,0.4061198830604553,other external,18-20 yrs,18,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,10.937329292297363 +1985,9,0.4061198830604553,internal,18-20 yrs,34,164574,19.04013442993164,0.4061198830604553,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,20.659399032592773 +1985,9,0.4061198830604553,all,21-24 yrs,187,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,82.7122573852539 +1985,9,0.4061198830604553,MVA,21-24 yrs,61,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,26.981002807617188 +1985,9,0.4061198830604553,suicide,21-24 yrs,27,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,11.942411422729492 +1985,9,0.4061198830604553,homicide,21-24 yrs,21,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,9.288541793823242 +1985,9,0.4061198830604553,other external,21-24 yrs,17,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,7.519295692443848 +1985,9,0.4061198830604553,internal,21-24 yrs,61,226085,22.47833824157715,1,0.08993884176015854,1.1399999856948853,0.5,1.2000000476837158,2.8399999141693115,26.981002807617188 +1986,9,0.07784590870141983,MVA,15-17 yrs,38,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,25.241788864135742 +1986,9,0.07784590870141983,suicide,15-17 yrs,8,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,5.314061164855957 +1986,9,0.07784590870141983,homicide,15-17 yrs,9,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,5.978318691253662 +1986,9,0.07784590870141983,other external,15-17 yrs,12,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,7.971091270446777 +1986,9,0.07784590870141983,internal,15-17 yrs,24,150544,16.012720108032227,0,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,15.942182540893555 +1986,9,0.07784590870141983,all,18-20 yrs,115,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,72.96954345703125 +1986,9,0.07784590870141983,MVA,18-20 yrs,53,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,33.62944030761719 +1986,9,0.07784590870141983,suicide,18-20 yrs,14,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,8.883248329162598 +1986,9,0.07784590870141983,homicide,18-20 yrs,6,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,3.8071064949035645 +1986,9,0.07784590870141983,other external,18-20 yrs,12,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,7.614212989807129 +1986,9,0.07784590870141983,internal,18-20 yrs,30,157600,19.037822723388672,0.07784590870141983,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,19.035533905029297 +1986,9,0.07784590870141983,all,21-24 yrs,210,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,92.49797058105469 +1986,9,0.07784590870141983,MVA,21-24 yrs,59,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,25.987525939941406 +1986,9,0.07784590870141983,suicide,21-24 yrs,35,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,15.416329383850098 +1986,9,0.07784590870141983,homicide,21-24 yrs,23,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,10.130730628967285 +1986,9,0.07784590870141983,other external,21-24 yrs,19,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,8.368864059448242 +1986,9,0.07784590870141983,internal,21-24 yrs,74,227032,22.494035720825195,1,0.08829762041568756,1.1299999952316284,0.5099999904632568,1.149999976158142,2.7899999618530273,32.59452438354492 +1987,9,0,MVA,15-17 yrs,34,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,23.537555694580078 +1987,9,0,suicide,15-17 yrs,4,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,2.7691242694854736 +1987,9,0,homicide,15-17 yrs,11,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.615091800689697 +1987,9,0,other external,15-17 yrs,5,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,3.4614052772521973 +1987,9,0,internal,15-17 yrs,11,144450,16.056407928466797,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.615091800689697 +1987,9,0,all,18-20 yrs,116,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,75.571014404296875 +1987,9,0,MVA,18-20 yrs,42,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,27.361919403076172 +1987,9,0,suicide,18-20 yrs,12,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.817691326141357 +1987,9,0,homicide,18-20 yrs,14,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,9.12063980102539 +1987,9,0,other external,18-20 yrs,11,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,7.16621732711792 +1987,9,0,internal,18-20 yrs,37,153498,19.020326614379883,0,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,24.104549407958984 +1987,9,0,all,21-24 yrs,193,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,85.970733642578125 +1987,9,0,MVA,21-24 yrs,68,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,30.290206909179688 +1987,9,0,suicide,21-24 yrs,25,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,11.13610553741455 +1987,9,0,homicide,21-24 yrs,20,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,8.908884048461914 +1987,9,0,other external,21-24 yrs,25,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,11.13610553741455 +1987,9,0,internal,21-24 yrs,55,224495,22.522844314575195,1,0.08518855273723602,1.149999976158142,0.5199999809265137,1.1200000047683716,2.7899999618530273,24.499431610107422 +1988,9,0,MVA,15-17 yrs,34,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,25.30119514465332 +1988,9,0,suicide,15-17 yrs,6,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,4.464916706085205 +1988,9,0,homicide,15-17 yrs,9,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,6.697375297546387 +1988,9,0,other external,15-17 yrs,14,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,10.418139457702637 +1988,9,0,internal,15-17 yrs,23,134381,16.081470489501953,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.115514755249023 +1988,9,0,all,18-20 yrs,129,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,84.47826385498047 +1988,9,0,MVA,18-20 yrs,55,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,36.01786422729492 +1988,9,0,suicide,18-20 yrs,17,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,11.132794380187988 +1988,9,0,homicide,18-20 yrs,21,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,13.752275466918945 +1988,9,0,other external,18-20 yrs,10,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,6.548702716827393 +1988,9,0,internal,18-20 yrs,26,152702,19.006332397460938,0,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.026626586914062 +1988,9,0,all,21-24 yrs,213,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,97.51184844970703 +1988,9,0,MVA,21-24 yrs,71,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,32.50394821166992 +1988,9,0,suicide,21-24 yrs,38,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,17.3964786529541 +1988,9,0,homicide,21-24 yrs,33,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,15.107468605041504 +1988,9,0,other external,21-24 yrs,12,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,5.493625164031982 +1988,9,0,internal,21-24 yrs,59,218435,22.543804168701172,1,0.08180404454469681,1.1399999856948853,0.5099999904632568,1.0700000524520874,2.7100000381469727,27.01032257080078 +1989,9,0,MVA,15-17 yrs,32,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,26.013721466064453 +1989,9,0,suicide,15-17 yrs,5,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,4.0646443367004395 +1989,9,0,homicide,15-17 yrs,13,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,10.568074226379395 +1989,9,0,other external,15-17 yrs,9,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,7.316359519958496 +1989,9,0,internal,15-17 yrs,26,123012,16.05392074584961,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,21.13614845275879 +1989,9,0,all,18-20 yrs,127,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,83.7327651977539 +1989,9,0,MVA,18-20 yrs,49,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,32.30634307861328 +1989,9,0,suicide,18-20 yrs,18,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,11.867636680603027 +1989,9,0,homicide,18-20 yrs,15,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,9.889697074890137 +1989,9,0,other external,18-20 yrs,13,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,8.571070671081543 +1989,9,0,internal,18-20 yrs,32,151673,19.015012741088867,0,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,21.098020553588867 +1989,9,0,all,21-24 yrs,191,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,91.51190948486328 +1989,9,0,MVA,21-24 yrs,60,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,28.747196197509766 +1989,9,0,suicide,21-24 yrs,25,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,11.977998733520508 +1989,9,0,homicide,21-24 yrs,30,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,14.373598098754883 +1989,9,0,other external,21-24 yrs,17,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,8.145039558410645 +1989,9,0,internal,21-24 yrs,59,208716,22.54616355895996,1,0.15608739852905273,1.090000033378601,0.4699999988079071,0.9800000190734863,2.5399999618530273,28.268077850341797 +1990,9,0,MVA,15-17 yrs,28,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,23.864517211914062 +1990,9,0,suicide,15-17 yrs,8,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,6.81843376159668 +1990,9,0,homicide,15-17 yrs,19,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,16.19377899169922 +1990,9,0,other external,15-17 yrs,9,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,7.6707377433776855 +1990,9,0,internal,15-17 yrs,15,117329,16.020992279052734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.784563064575195 +1990,9,0,all,18-20 yrs,94,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,64.710662841796875 +1990,9,0,MVA,18-20 yrs,36,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,24.782806396484375 +1990,9,0,suicide,18-20 yrs,14,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,9.637758255004883 +1990,9,0,homicide,18-20 yrs,18,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.391403198242188 +1990,9,0,other external,18-20 yrs,8,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,5.507290363311768 +1990,9,0,internal,18-20 yrs,18,145262,19.057613372802734,0,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,12.391403198242188 +1990,9,0,all,21-24 yrs,176,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,88.04181671142578 +1990,9,0,MVA,21-24 yrs,58,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,29.01378059387207 +1990,9,0,suicide,21-24 yrs,22,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,11.005227088928223 +1990,9,0,homicide,21-24 yrs,28,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,14.00665283203125 +1990,9,0,other external,21-24 yrs,18,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,9.004277229309082 +1990,9,0,internal,21-24 yrs,50,199905,22.526460647583008,1,0.14808598160743713,1.090000033378601,0.44999998807907104,0.9200000166893005,2.4600000381469727,25.01188087463379 +1991,9,0,MVA,15-17 yrs,18,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,15.637351989746094 +1991,9,0,suicide,15-17 yrs,8,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.949934482574463 +1991,9,0,homicide,15-17 yrs,17,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,14.768610954284668 +1991,9,0,other external,15-17 yrs,7,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.081192493438721 +1991,9,0,internal,15-17 yrs,12,115109,16.012422561645508,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,10.424901962280273 +1991,9,0,all,18-20 yrs,109,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,81.37061309814453 +1991,9,0,MVA,18-20 yrs,38,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,28.367734909057617 +1991,9,0,suicide,18-20 yrs,18,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,13.437348365783691 +1991,9,0,homicide,18-20 yrs,23,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.169944763183594 +1991,9,0,other external,18-20 yrs,6,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,4.479115962982178 +1991,9,0,internal,18-20 yrs,24,133955,19.072568893432617,0,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.91646385192871 +1991,9,0,all,21-24 yrs,183,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,94.7048110961914 +1991,9,0,MVA,21-24 yrs,52,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,26.910655975341797 +1991,9,0,suicide,21-24 yrs,32,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,16.56040382385254 +1991,9,0,homicide,21-24 yrs,33,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,17.077917098999023 +1991,9,0,other external,21-24 yrs,13,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,6.727663993835449 +1991,9,0,internal,21-24 yrs,53,193232,22.49936294555664,1,0.14210601150989532,1.0299999713897705,0.4300000071525574,0.8399999737739563,2.2899999618530273,27.42816925048828 +1992,9,0,MVA,15-17 yrs,16,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,13.88780403137207 +1992,9,0,suicide,15-17 yrs,6,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,5.207926273345947 +1992,9,0,homicide,15-17 yrs,17,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,14.755791664123535 +1992,9,0,other external,15-17 yrs,7,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,6.07591438293457 +1992,9,0,internal,15-17 yrs,19,115209,16.000537872314453,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,16.49176788330078 +1992,9,0,all,18-20 yrs,80,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,65.38618469238281 +1992,9,0,MVA,18-20 yrs,31,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,25.337146759033203 +1992,9,0,suicide,18-20 yrs,5,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,4.086636543273926 +1992,9,0,homicide,18-20 yrs,21,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,17.16387367248535 +1992,9,0,other external,18-20 yrs,9,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,7.355946063995361 +1992,9,0,internal,18-20 yrs,14,122350,19.049455642700195,0,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,11.442583084106445 +1992,9,0,all,21-24 yrs,159,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,85.16153717041016 +1992,9,0,MVA,21-24 yrs,41,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,21.95989418029785 +1992,9,0,suicide,21-24 yrs,29,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,15.532608032226562 +1992,9,0,homicide,21-24 yrs,30,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,16.068214416503906 +1992,9,0,other external,21-24 yrs,17,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,9.105321884155273 +1992,9,0,internal,21-24 yrs,42,186704,22.493000030517578,1,0.13795322179794312,1.0099999904632568,0.44999998807907104,0.8299999833106995,2.299999952316284,22.495500564575195 +1993,9,0,MVA,15-17 yrs,25,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.626670837402344 +1993,9,0,suicide,15-17 yrs,6,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,5.190401077270508 +1993,9,0,homicide,15-17 yrs,12,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,10.380802154541016 +1993,9,0,other external,15-17 yrs,7,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,6.0554680824279785 +1993,9,0,internal,15-17 yrs,19,115598,15.987239837646484,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,16.436269760131836 +1993,9,0,all,18-20 yrs,101,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,86.474822998046875 +1993,9,0,MVA,18-20 yrs,29,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,24.829404830932617 +1993,9,0,suicide,18-20 yrs,11,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,9.418049812316895 +1993,9,0,homicide,18-20 yrs,28,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,23.97321891784668 +1993,9,0,other external,18-20 yrs,7,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,5.99330472946167 +1993,9,0,internal,18-20 yrs,26,116797,19.02175521850586,0,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,22.260845184326172 +1993,9,0,all,21-24 yrs,168,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,93.96656036376953 +1993,9,0,MVA,21-24 yrs,38,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.25434112548828 +1993,9,0,suicide,21-24 yrs,24,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,13.423794746398926 +1993,9,0,homicide,21-24 yrs,39,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,21.81366729736328 +1993,9,0,other external,21-24 yrs,14,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,7.830546855926514 +1993,9,0,internal,21-24 yrs,53,178787,22.537416458129883,1,0.13394351303577423,0.9599999785423279,0.4399999976158142,0.800000011920929,2.200000047683716,29.64421272277832 +1994,9,0,MVA,15-17 yrs,20,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,16.947429656982422 +1994,9,0,suicide,15-17 yrs,12,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,10.16845703125 +1994,9,0,homicide,15-17 yrs,18,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,15.252686500549316 +1994,9,0,other external,15-17 yrs,4,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,3.3894858360290527 +1994,9,0,internal,15-17 yrs,23,118012,15.984755516052246,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,19.489543914794922 +1994,9,0,all,18-20 yrs,91,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,80.15290832519531 +1994,9,0,MVA,18-20 yrs,22,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,19.377626419067383 +1994,9,0,suicide,18-20 yrs,9,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,7.927210807800293 +1994,9,0,homicide,18-20 yrs,34,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,29.947240829467773 +1994,9,0,other external,18-20 yrs,16,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,14.092819213867188 +1994,9,0,internal,18-20 yrs,10,113533,19.016990661621094,0,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,8.808012008666992 +1994,9,0,all,21-24 yrs,157,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,93.077850341796875 +1994,9,0,MVA,21-24 yrs,36,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,21.342693328857422 +1994,9,0,suicide,21-24 yrs,24,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,14.228461265563965 +1994,9,0,homicide,21-24 yrs,34,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,20.1569881439209 +1994,9,0,other external,21-24 yrs,11,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,6.521378040313721 +1994,9,0,internal,21-24 yrs,52,168676,22.57719612121582,1,0.13059945404529572,0.9900000095367432,0.4300000071525574,0.7799999713897705,2.200000047683716,30.828332901000977 +1995,9,0,MVA,15-17 yrs,16,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,13.303400993347168 +1995,9,0,suicide,15-17 yrs,4,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,3.325850248336792 +1995,9,0,homicide,15-17 yrs,15,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,12.471938133239746 +1995,9,0,other external,15-17 yrs,10,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,8.31462574005127 +1995,9,0,internal,15-17 yrs,15,120270,15.973185539245605,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,12.471938133239746 +1995,9,0,all,18-20 yrs,91,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,80.42705535888672 +1995,9,0,MVA,18-20 yrs,27,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,23.862974166870117 +1995,9,0,suicide,18-20 yrs,16,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,14.141021728515625 +1995,9,0,homicide,18-20 yrs,17,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,15.024835586547852 +1995,9,0,other external,18-20 yrs,7,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,6.186697006225586 +1995,9,0,internal,18-20 yrs,24,113146,19.00839614868164,0,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,21.211532592773438 +1995,9,0,all,21-24 yrs,137,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,87.0792236328125 +1995,9,0,MVA,21-24 yrs,36,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,22.882131576538086 +1995,9,0,suicide,21-24 yrs,18,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,11.441065788269043 +1995,9,0,homicide,21-24 yrs,27,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,17.161598205566406 +1995,9,0,other external,21-24 yrs,21,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,13.347909927368164 +1995,9,0,internal,21-24 yrs,35,157328,22.578269958496094,1,0.12700025737285614,0.9700000286102295,0.49000000953674316,0.7699999809265137,2.2200000286102295,22.246517181396484 +1996,9,0,MVA,15-17 yrs,16,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,13.126266479492188 +1996,9,0,suicide,15-17 yrs,2,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,1.6407833099365234 +1996,9,0,homicide,15-17 yrs,13,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,10.665091514587402 +1996,9,0,other external,15-17 yrs,5,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,4.101958274841309 +1996,9,0,internal,15-17 yrs,21,121893,15.988908767700195,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,17.228225708007812 +1996,9,0,all,18-20 yrs,79,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,69.890472412109375 +1996,9,0,MVA,18-20 yrs,23,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,20.34786033630371 +1996,9,0,suicide,18-20 yrs,14,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,12.385653495788574 +1996,9,0,homicide,18-20 yrs,17,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.039722442626953 +1996,9,0,other external,18-20 yrs,8,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,7.077516555786133 +1996,9,0,internal,18-20 yrs,17,113034,18.999319076538086,0,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.039722442626953 +1996,9,0,all,21-24 yrs,130,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,87.51497650146484 +1996,9,0,MVA,21-24 yrs,33,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,22.215341567993164 +1996,9,0,suicide,21-24 yrs,23,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,15.483419418334961 +1996,9,0,homicide,21-24 yrs,26,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,17.50299644470215 +1996,9,0,other external,21-24 yrs,14,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,9.424690246582031 +1996,9,0,internal,21-24 yrs,34,148546,22.531835556030273,1,0.12335780262947083,0.9399999976158142,0.46000000834465027,0.7200000286102295,2.130000114440918,22.888532638549805 +1970,10,0,MVA,15-17 yrs,7,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,22.061140060424805 +1970,10,0,suicide,15-17 yrs,1,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,3.1515915393829346 +1970,10,0,homicide,15-17 yrs,3,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,9.454774856567383 +1970,10,0,other external,15-17 yrs,5,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,15.757957458496094 +1970,10,0,internal,15-17 yrs,4,31730,15.97226619720459,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,12.606366157531738 +1970,10,0,all,18-20 yrs,36,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,126.41336822509766 +1970,10,0,MVA,18-20 yrs,14,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,49.1607551574707 +1970,10,0,suicide,18-20 yrs,3,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,10.53444766998291 +1970,10,0,homicide,18-20 yrs,3,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,10.53444766998291 +1970,10,0,other external,18-20 yrs,5,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,17.55741310119629 +1970,10,0,internal,18-20 yrs,11,28478,18.9528751373291,0,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,38.62630844116211 +1970,10,0,all,21-24 yrs,40,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,114.48197174072266 +1970,10,0,MVA,21-24 yrs,14,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,40.068687438964844 +1970,10,0,suicide,21-24 yrs,7,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,20.034343719482422 +1970,10,0,homicide,21-24 yrs,5,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,14.310246467590332 +1970,10,0,other external,21-24 yrs,4,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,11.448197364807129 +1970,10,0,internal,21-24 yrs,10,34940,22.43528938293457,1,0.166278675198555,1.1699999570846558,0.20999999344348907,1.7400000095367432,3.119999885559082,28.620492935180664 +1971,10,0,MVA,15-17 yrs,10,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,29.629629135131836 +1971,10,0,suicide,15-17 yrs,2,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,5.9259257316589355 +1971,10,0,homicide,15-17 yrs,2,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,5.9259257316589355 +1971,10,0,other external,15-17 yrs,5,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,14.814814567565918 +1971,10,0,internal,15-17 yrs,1,33750,15.975258827209473,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,2.9629628658294678 +1971,10,0,all,18-20 yrs,28,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,88.30579376220703 +1971,10,0,MVA,18-20 yrs,8,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,25.230226516723633 +1971,10,0,suicide,18-20 yrs,1,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,3.153778314590454 +1971,10,0,homicide,18-20 yrs,2,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,6.307556629180908 +1971,10,0,other external,18-20 yrs,8,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,25.230226516723633 +1971,10,0,internal,18-20 yrs,9,31708,18.962596893310547,0,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,28.384004592895508 +1971,10,0,all,21-24 yrs,40,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,107.39696502685547 +1971,10,0,MVA,21-24 yrs,13,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,34.904014587402344 +1971,10,0,suicide,21-24 yrs,4,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,10.739696502685547 +1971,10,0,homicide,21-24 yrs,3,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,8.05477237701416 +1971,10,0,other external,21-24 yrs,7,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,18.794469833374023 +1971,10,0,internal,21-24 yrs,13,37245,22.578144073486328,1,0.1592990756034851,1.2000000476837158,0.23999999463558197,1.7400000095367432,3.180000066757202,34.904014587402344 +1972,10,0.16134388744831085,MVA,15-17 yrs,14,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,39.87354278564453 +1972,10,0.16134388744831085,suicide,15-17 yrs,0,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,0 +1972,10,0.16134388744831085,homicide,15-17 yrs,6,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,17.088661193847656 +1972,10,0.16134388744831085,other external,15-17 yrs,8,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,22.784881591796875 +1972,10,0.16134388744831085,internal,15-17 yrs,4,35111,15.972970962524414,0,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,11.392440795898438 +1972,10,0.16134388744831085,all,18-20 yrs,40,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,116.71334838867188 +1972,10,0.16134388744831085,MVA,18-20 yrs,16,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,46.685340881347656 +1972,10,0.16134388744831085,suicide,18-20 yrs,0,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,0 +1972,10,0.16134388744831085,homicide,18-20 yrs,6,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,17.507001876831055 +1972,10,0.16134388744831085,other external,18-20 yrs,8,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,23.342670440673828 +1972,10,0.16134388744831085,internal,18-20 yrs,10,34272,18.980712890625,0.16134388744831085,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,29.17833709716797 +1972,10,0.16134388744831085,all,21-24 yrs,32,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,85.81388854980469 +1972,10,0.16134388744831085,MVA,21-24 yrs,10,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,26.81684112548828 +1972,10,0.16134388744831085,suicide,21-24 yrs,6,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,16.090105056762695 +1972,10,0.16134388744831085,homicide,21-24 yrs,4,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,10.726736068725586 +1972,10,0.16134388744831085,other external,21-24 yrs,4,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,10.726736068725586 +1972,10,0.16134388744831085,internal,21-24 yrs,8,37290,22.497211456298828,1,0.15434479713439941,1.2100000381469727,0.25999999046325684,1.600000023841858,3.069999933242798,21.453472137451172 +1973,10,0.3258828818798065,MVA,15-17 yrs,13,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,36.02904510498047 +1973,10,0.3258828818798065,suicide,15-17 yrs,3,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,8.3143949508667 +1973,10,0.3258828818798065,homicide,15-17 yrs,1,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,2.7714650630950928 +1973,10,0.3258828818798065,other external,15-17 yrs,10,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.714649200439453 +1973,10,0.3258828818798065,internal,15-17 yrs,10,36082,15.982816696166992,0,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.714649200439453 +1973,10,0.3258828818798065,all,18-20 yrs,45,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,125.7264175415039 +1973,10,0.3258828818798065,MVA,18-20 yrs,18,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,50.29056930541992 +1973,10,0.3258828818798065,suicide,18-20 yrs,10,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,27.939205169677734 +1973,10,0.3258828818798065,homicide,18-20 yrs,5,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,13.969602584838867 +1973,10,0.3258828818798065,other external,18-20 yrs,6,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,16.76352310180664 +1973,10,0.3258828818798065,internal,18-20 yrs,6,35792,18.988740921020508,0.3258828818798065,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,16.76352310180664 +1973,10,0.3258828818798065,all,21-24 yrs,58,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,153.15553283691406 +1973,10,0.3258828818798065,MVA,21-24 yrs,21,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,55.45286560058594 +1973,10,0.3258828818798065,suicide,21-24 yrs,6,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,15.84367561340332 +1973,10,0.3258828818798065,homicide,21-24 yrs,3,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,7.92183780670166 +1973,10,0.3258828818798065,other external,21-24 yrs,15,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,39.609188079833984 +1973,10,0.3258828818798065,internal,21-24 yrs,13,37870,22.442487716674805,1,0.14530658721923828,1.2200000286102295,0.27000001072883606,1.5499999523162842,3.0399999618530273,34.327964782714844 +1974,10,0.32573792338371277,MVA,15-17 yrs,12,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,32.67973709106445 +1974,10,0.32573792338371277,suicide,15-17 yrs,1,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,2.72331166267395 +1974,10,0.32573792338371277,homicide,15-17 yrs,1,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,2.72331166267395 +1974,10,0.32573792338371277,other external,15-17 yrs,8,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,21.7864933013916 +1974,10,0.32573792338371277,internal,15-17 yrs,17,36720,15.997440338134766,0,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,46.296295166015625 +1974,10,0.32573792338371277,all,18-20 yrs,35,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,94.60482025146484 +1974,10,0.32573792338371277,MVA,18-20 yrs,13,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,35.13893508911133 +1974,10,0.32573792338371277,suicide,18-20 yrs,3,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,8.10898494720459 +1974,10,0.32573792338371277,homicide,18-20 yrs,8,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,21.623958587646484 +1974,10,0.32573792338371277,other external,18-20 yrs,5,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,13.514974594116211 +1974,10,0.32573792338371277,internal,18-20 yrs,6,36996,18.989458084106445,0.32573792338371277,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,16.21796989440918 +1974,10,0.32573792338371277,all,21-24 yrs,56,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,142.01303100585938 +1974,10,0.32573792338371277,MVA,21-24 yrs,22,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,55.790836334228516 +1974,10,0.32573792338371277,suicide,21-24 yrs,3,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,7.6078410148620605 +1974,10,0.32573792338371277,homicide,21-24 yrs,7,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,17.751628875732422 +1974,10,0.32573792338371277,other external,21-24 yrs,11,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,27.895418167114258 +1974,10,0.32573792338371277,internal,21-24 yrs,13,39433,22.400604248046875,1,0.13086435198783875,1.2300000190734863,0.25999999046325684,1.5099999904632568,3,32.96731185913086 +1975,10,0.32366180419921875,MVA,15-17 yrs,13,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,35.46776580810547 +1975,10,0.32366180419921875,suicide,15-17 yrs,1,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,2.7282896041870117 +1975,10,0.32366180419921875,homicide,15-17 yrs,3,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,8.184868812561035 +1975,10,0.32366180419921875,other external,15-17 yrs,4,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,10.913158416748047 +1975,10,0.32366180419921875,internal,15-17 yrs,7,36653,16.0039005279541,0,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,19.0980281829834 +1975,10,0.32366180419921875,all,18-20 yrs,35,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,91.0770492553711 +1975,10,0.32366180419921875,MVA,18-20 yrs,19,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,49.441829681396484 +1975,10,0.32366180419921875,suicide,18-20 yrs,2,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,5.204402923583984 +1975,10,0.32366180419921875,homicide,18-20 yrs,3,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,7.806604385375977 +1975,10,0.32366180419921875,other external,18-20 yrs,6,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,15.613208770751953 +1975,10,0.32366180419921875,internal,18-20 yrs,5,38429,18.98321533203125,0.32366180419921875,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,13.011007308959961 +1975,10,0.32366180419921875,all,21-24 yrs,39,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,93.3863296508789 +1975,10,0.32366180419921875,MVA,21-24 yrs,12,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,28.734256744384766 +1975,10,0.32366180419921875,suicide,21-24 yrs,5,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,11.972606658935547 +1975,10,0.32366180419921875,homicide,21-24 yrs,6,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,14.367128372192383 +1975,10,0.32366180419921875,other external,21-24 yrs,6,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,14.367128372192383 +1975,10,0.32366180419921875,internal,21-24 yrs,10,41762,22.415353775024414,1,0.11991845071315765,1.2300000190734863,0.25999999046325684,1.4900000095367432,2.9800000190734863,23.945213317871094 +1976,10,0.32357504963874817,MVA,15-17 yrs,13,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,35.3751106262207 +1976,10,0.32357504963874817,suicide,15-17 yrs,2,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,5.442325115203857 +1976,10,0.32357504963874817,homicide,15-17 yrs,3,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,8.163487434387207 +1976,10,0.32357504963874817,other external,15-17 yrs,0,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,0 +1976,10,0.32357504963874817,internal,15-17 yrs,6,36749,15.998339653015137,0,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,16.326974868774414 +1976,10,0.32357504963874817,all,18-20 yrs,48,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,122.0845947265625 +1976,10,0.32357504963874817,MVA,18-20 yrs,25,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,63.58572769165039 +1976,10,0.32357504963874817,suicide,18-20 yrs,6,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,15.260574340820312 +1976,10,0.32357504963874817,homicide,18-20 yrs,5,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,12.717144966125488 +1976,10,0.32357504963874817,other external,18-20 yrs,8,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,20.34743309020996 +1976,10,0.32357504963874817,internal,18-20 yrs,4,39317,18.990970611572266,0.32357504963874817,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,10.17371654510498 +1976,10,0.32357504963874817,all,21-24 yrs,50,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,114.89762878417969 +1976,10,0.32357504963874817,MVA,21-24 yrs,19,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,43.66109848022461 +1976,10,0.32357504963874817,suicide,21-24 yrs,5,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,11.489762306213379 +1976,10,0.32357504963874817,homicide,21-24 yrs,6,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,13.787714958190918 +1976,10,0.32357504963874817,other external,21-24 yrs,6,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,13.787714958190918 +1976,10,0.32357504963874817,internal,21-24 yrs,14,43517,22.428659439086914,1,0.11338510364294052,1.25,0.25,1.4299999475479126,2.9200000762939453,32.17133712768555 +1977,10,0.3318800628185272,MVA,15-17 yrs,8,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,21.951486587524414 +1977,10,0.3318800628185272,suicide,15-17 yrs,4,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,10.975743293762207 +1977,10,0.3318800628185272,homicide,15-17 yrs,1,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,2.7439358234405518 +1977,10,0.3318800628185272,other external,15-17 yrs,8,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,21.951486587524414 +1977,10,0.3318800628185272,internal,15-17 yrs,6,36444,15.99758529663086,0,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,16.46361541748047 +1977,10,0.3318800628185272,all,18-20 yrs,32,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,81.11328125 +1977,10,0.3318800628185272,MVA,18-20 yrs,10,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,25.347900390625 +1977,10,0.3318800628185272,suicide,18-20 yrs,4,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,10.13916015625 +1977,10,0.3318800628185272,homicide,18-20 yrs,0,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,0 +1977,10,0.3318800628185272,other external,18-20 yrs,13,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,32.9522705078125 +1977,10,0.3318800628185272,internal,18-20 yrs,5,39451,19.0018253326416,0.3318800628185272,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,12.6739501953125 +1977,10,0.3318800628185272,all,21-24 yrs,49,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,110.28832244873047 +1977,10,0.3318800628185272,MVA,21-24 yrs,20,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,45.01564407348633 +1977,10,0.3318800628185272,suicide,21-24 yrs,6,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,13.504693031311035 +1977,10,0.3318800628185272,homicide,21-24 yrs,4,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,9.003129005432129 +1977,10,0.3318800628185272,other external,21-24 yrs,5,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,11.253911018371582 +1977,10,0.3318800628185272,internal,21-24 yrs,14,44429,22.440387725830078,1,0.1064622551202774,1.3200000524520874,0.23999999463558197,1.350000023841858,2.9100000858306885,31.510950088500977 +1978,10,0.33196428418159485,MVA,15-17 yrs,20,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,55.25777816772461 +1978,10,0.33196428418159485,suicide,15-17 yrs,2,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,5.525777816772461 +1978,10,0.33196428418159485,homicide,15-17 yrs,1,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,2.7628889083862305 +1978,10,0.33196428418159485,other external,15-17 yrs,5,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,13.814444541931152 +1978,10,0.33196428418159485,internal,15-17 yrs,9,36194,16.011493682861328,0,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,24.865999221801758 +1978,10,0.33196428418159485,all,18-20 yrs,51,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,130.10203552246094 +1978,10,0.33196428418159485,MVA,18-20 yrs,24,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,61.224491119384766 +1978,10,0.33196428418159485,suicide,18-20 yrs,8,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,20.40816307067871 +1978,10,0.33196428418159485,homicide,18-20 yrs,3,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,7.653061389923096 +1978,10,0.33196428418159485,other external,18-20 yrs,5,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,12.755102157592773 +1978,10,0.33196428418159485,internal,18-20 yrs,11,39200,19.006019592285156,0.33196428418159485,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,28.06122398376465 +1978,10,0.33196428418159485,all,21-24 yrs,53,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,116.27906799316406 +1978,10,0.33196428418159485,MVA,21-24 yrs,16,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,35.10311508178711 +1978,10,0.33196428418159485,suicide,21-24 yrs,10,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,21.9394474029541 +1978,10,0.33196428418159485,homicide,21-24 yrs,7,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,15.357612609863281 +1978,10,0.33196428418159485,other external,21-24 yrs,5,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,10.96972370147705 +1978,10,0.33196428418159485,internal,21-24 yrs,15,45580,22.431724548339844,1,0.09895111620426178,1.3300000429153442,0.25,1.3300000429153442,2.9100000858306885,32.90917205810547 +1979,10,0.33138787746429443,MVA,15-17 yrs,10,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,28.31096839904785 +1979,10,0.33138787746429443,suicide,15-17 yrs,1,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,2.831096649169922 +1979,10,0.33138787746429443,homicide,15-17 yrs,0,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,0 +1979,10,0.33138787746429443,other external,15-17 yrs,6,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,16.98657989501953 +1979,10,0.33138787746429443,internal,15-17 yrs,6,35322,16.010021209716797,0,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,16.98657989501953 +1979,10,0.33138787746429443,all,18-20 yrs,29,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,74.56163024902344 +1979,10,0.33138787746429443,MVA,18-20 yrs,14,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,35.995269775390625 +1979,10,0.33138787746429443,suicide,18-20 yrs,6,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,15.426544189453125 +1979,10,0.33138787746429443,homicide,18-20 yrs,1,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,2.5710906982421875 +1979,10,0.33138787746429443,other external,18-20 yrs,4,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,10.28436279296875 +1979,10,0.33138787746429443,internal,18-20 yrs,4,38894,18.997892379760742,0.33138787746429443,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,10.28436279296875 +1979,10,0.33138787746429443,all,21-24 yrs,58,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,126.37541961669922 +1979,10,0.33138787746429443,MVA,21-24 yrs,18,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,39.2199592590332 +1979,10,0.33138787746429443,suicide,21-24 yrs,10,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,21.78886604309082 +1979,10,0.33138787746429443,homicide,21-24 yrs,3,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,6.5366597175598145 +1979,10,0.33138787746429443,other external,21-24 yrs,7,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,15.252205848693848 +1979,10,0.33138787746429443,internal,21-24 yrs,20,45895,22.439067840576172,1,0.08886519074440002,1.3799999952316284,0.27000001072883606,1.340000033378601,2.990000009536743,43.57773208618164 +1980,10,0.33141854405403137,MVA,15-17 yrs,15,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,43.86349868774414 +1980,10,0.33141854405403137,suicide,15-17 yrs,1,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,2.9242331981658936 +1980,10,0.33141854405403137,homicide,15-17 yrs,1,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,2.9242331981658936 +1980,10,0.33141854405403137,other external,15-17 yrs,7,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,20.46963119506836 +1980,10,0.33141854405403137,internal,15-17 yrs,7,34197,16.01988410949707,0,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,20.46963119506836 +1980,10,0.33141854405403137,all,18-20 yrs,48,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,127.65278625488281 +1980,10,0.33141854405403137,MVA,18-20 yrs,25,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,66.48582458496094 +1980,10,0.33141854405403137,suicide,18-20 yrs,6,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,15.956598281860352 +1980,10,0.33141854405403137,homicide,18-20 yrs,2,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,5.31886625289917 +1980,10,0.33141854405403137,other external,18-20 yrs,8,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,21.27546501159668 +1980,10,0.33141854405403137,internal,18-20 yrs,7,37602,19.00813865661621,0.33141854405403137,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,18.616031646728516 +1980,10,0.33141854405403137,all,21-24 yrs,73,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,158.32736206054688 +1980,10,0.33141854405403137,MVA,21-24 yrs,31,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,67.23490905761719 +1980,10,0.33141854405403137,suicide,21-24 yrs,7,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,15.182076454162598 +1980,10,0.33141854405403137,homicide,21-24 yrs,11,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,23.8575496673584 +1980,10,0.33141854405403137,other external,21-24 yrs,10,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,21.68868064880371 +1980,10,0.33141854405403137,internal,21-24 yrs,14,46107,22.44366455078125,1,0.07829626649618149,1.4500000476837158,0.28999999165534973,1.3799999952316284,3.119999885559082,30.364152908325195 +1981,10,0.34862014651298523,MVA,15-17 yrs,7,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,21.48623275756836 +1981,10,0.34862014651298523,suicide,15-17 yrs,2,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,6.138923645019531 +1981,10,0.34862014651298523,homicide,15-17 yrs,3,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,9.208385467529297 +1981,10,0.34862014651298523,other external,15-17 yrs,3,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,9.208385467529297 +1981,10,0.34862014651298523,internal,15-17 yrs,6,32579,16.034408569335938,0,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,18.416770935058594 +1981,10,0.34862014651298523,all,18-20 yrs,35,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,94.41851806640625 +1981,10,0.34862014651298523,MVA,18-20 yrs,14,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,37.76740646362305 +1981,10,0.34862014651298523,suicide,18-20 yrs,11,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,29.67439079284668 +1981,10,0.34862014651298523,homicide,18-20 yrs,4,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.790687561035156 +1981,10,0.34862014651298523,other external,18-20 yrs,1,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,2.697671890258789 +1981,10,0.34862014651298523,internal,18-20 yrs,5,37069,19.038820266723633,0.34862014651298523,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,13.488359451293945 +1981,10,0.34862014651298523,all,21-24 yrs,45,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,94.79671478271484 +1981,10,0.34862014651298523,MVA,21-24 yrs,17,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,35.81209182739258 +1981,10,0.34862014651298523,suicide,21-24 yrs,10,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,21.065937042236328 +1981,10,0.34862014651298523,homicide,21-24 yrs,5,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.532968521118164 +1981,10,0.34862014651298523,other external,21-24 yrs,5,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,10.532968521118164 +1981,10,0.34862014651298523,internal,21-24 yrs,8,47470,22.465219497680664,1,0.07097483426332474,1.5099999904632568,0.3199999928474426,1.3899999856948853,3.2300000190734863,16.85274887084961 +1982,10,0.34909090399742126,MVA,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,suicide,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,homicide,15-17 yrs,1,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,3.2330024242401123 +1982,10,0.34909090399742126,other external,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,internal,15-17 yrs,4,30931,16.029678344726562,0,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,12.93200969696045 +1982,10,0.34909090399742126,all,18-20 yrs,45,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,124.91325378417969 +1982,10,0.34909090399742126,MVA,18-20 yrs,26,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,72.17210388183594 +1982,10,0.34909090399742126,suicide,18-20 yrs,5,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,13.879250526428223 +1982,10,0.34909090399742126,homicide,18-20 yrs,4,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,11.103400230407715 +1982,10,0.34909090399742126,other external,18-20 yrs,3,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,8.327549934387207 +1982,10,0.34909090399742126,internal,18-20 yrs,7,36025,19.034114837646484,0.34909090399742126,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,19.430950164794922 +1982,10,0.34909090399742126,all,21-24 yrs,58,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,119.2091064453125 +1982,10,0.34909090399742126,MVA,21-24 yrs,25,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,51.383235931396484 +1982,10,0.34909090399742126,suicide,21-24 yrs,8,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,16.442636489868164 +1982,10,0.34909090399742126,homicide,21-24 yrs,5,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,10.276647567749023 +1982,10,0.34909090399742126,other external,21-24 yrs,11,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,22.608623504638672 +1982,10,0.34909090399742126,internal,21-24 yrs,9,48654,22.47200584411621,1,0.06685609370470047,1.5299999713897705,0.3400000035762787,1.3600000143051147,3.2300000190734863,18.49796485900879 +1983,10,0.34485405683517456,MVA,15-17 yrs,9,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,30.57584571838379 +1983,10,0.34485405683517456,suicide,15-17 yrs,1,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,3.3973162174224854 +1983,10,0.34485405683517456,homicide,15-17 yrs,0,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,0 +1983,10,0.34485405683517456,other external,15-17 yrs,0,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,0 +1983,10,0.34485405683517456,internal,15-17 yrs,5,29435,16.031017303466797,0,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,16.98657989501953 +1983,10,0.34485405683517456,all,18-20 yrs,23,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,65.37248229980469 +1983,10,0.34485405683517456,MVA,18-20 yrs,10,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,28.42281723022461 +1983,10,0.34485405683517456,suicide,18-20 yrs,1,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,2.8422818183898926 +1983,10,0.34485405683517456,homicide,18-20 yrs,1,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,2.8422818183898926 +1983,10,0.34485405683517456,other external,18-20 yrs,2,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,5.684563636779785 +1983,10,0.34485405683517456,internal,18-20 yrs,9,35183,19.03584098815918,0.34485405683517456,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,25.580535888671875 +1983,10,0.34485405683517456,all,21-24 yrs,51,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,103.64379119873047 +1983,10,0.34485405683517456,MVA,21-24 yrs,19,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,38.61239242553711 +1983,10,0.34485405683517456,suicide,21-24 yrs,5,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,10.161155700683594 +1983,10,0.34485405683517456,homicide,21-24 yrs,4,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,8.128924369812012 +1983,10,0.34485405683517456,other external,21-24 yrs,10,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,20.322311401367188 +1983,10,0.34485405683517456,internal,21-24 yrs,13,49207,22.48387336730957,1,0.06477522850036621,1.5299999713897705,0.3499999940395355,1.340000033378601,3.2200000286102295,26.41900634765625 +1984,10,0.30926060676574707,MVA,15-17 yrs,9,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,31.661155700683594 +1984,10,0.30926060676574707,suicide,15-17 yrs,1,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,3.5179061889648438 +1984,10,0.30926060676574707,homicide,15-17 yrs,0,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,0 +1984,10,0.30926060676574707,other external,15-17 yrs,2,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,7.0358123779296875 +1984,10,0.30926060676574707,internal,15-17 yrs,2,28426,16.016357421875,0,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,7.0358123779296875 +1984,10,0.30926060676574707,all,18-20 yrs,34,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,98.80274200439453 +1984,10,0.30926060676574707,MVA,18-20 yrs,14,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,40.6834831237793 +1984,10,0.30926060676574707,suicide,18-20 yrs,4,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,11.623851776123047 +1984,10,0.30926060676574707,homicide,18-20 yrs,1,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,2.9059629440307617 +1984,10,0.30926060676574707,other external,18-20 yrs,3,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,8.717888832092285 +1984,10,0.30926060676574707,internal,18-20 yrs,12,34412,19.051435470581055,0.30926060676574707,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,34.87155532836914 +1984,10,0.30926060676574707,all,21-24 yrs,43,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,88.00654602050781 +1984,10,0.30926060676574707,MVA,21-24 yrs,20,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,40.93327713012695 +1984,10,0.30926060676574707,suicide,21-24 yrs,6,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,12.279983520507812 +1984,10,0.30926060676574707,homicide,21-24 yrs,4,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,8.18665599822998 +1984,10,0.30926060676574707,other external,21-24 yrs,5,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,10.233319282531738 +1984,10,0.30926060676574707,internal,21-24 yrs,8,48860,22.503007888793945,1,0.062094442546367645,1.5099999904632568,0.3799999952316284,1.2799999713897705,3.1700000762939453,16.37331199645996 +1985,10,0.043799988925457,MVA,15-17 yrs,10,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,35.47986602783203 +1985,10,0.043799988925457,suicide,15-17 yrs,2,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,7.095973014831543 +1985,10,0.043799988925457,homicide,15-17 yrs,0,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,0 +1985,10,0.043799988925457,other external,15-17 yrs,2,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,7.095973014831543 +1985,10,0.043799988925457,internal,15-17 yrs,5,28185,15.987724304199219,0,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,17.739933013916016 +1985,10,0.043799988925457,all,18-20 yrs,24,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,72.14139556884766 +1985,10,0.043799988925457,MVA,18-20 yrs,10,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,30.058916091918945 +1985,10,0.043799988925457,suicide,18-20 yrs,2,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,6.011783123016357 +1985,10,0.043799988925457,homicide,18-20 yrs,1,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,3.0058915615081787 +1985,10,0.043799988925457,other external,18-20 yrs,4,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,12.023566246032715 +1985,10,0.043799988925457,internal,18-20 yrs,7,33268,19.05137062072754,0.043799988925457,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,21.041240692138672 +1985,10,0.043799988925457,all,21-24 yrs,44,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,90.7403564453125 +1985,10,0.043799988925457,MVA,21-24 yrs,20,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,41.2456169128418 +1985,10,0.043799988925457,suicide,21-24 yrs,2,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,4.124561786651611 +1985,10,0.043799988925457,homicide,21-24 yrs,1,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,2.0622808933258057 +1985,10,0.043799988925457,other external,21-24 yrs,5,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,10.31140422821045 +1985,10,0.043799988925457,internal,21-24 yrs,16,48490,22.515548706054688,1,0.05995922535657883,1.4600000381469727,0.4099999964237213,1.2999999523162842,3.1600000858306885,32.99649429321289 +1986,10,0,MVA,15-17 yrs,8,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,27.89789390563965 +1986,10,0,suicide,15-17 yrs,1,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.487236738204956 +1986,10,0,homicide,15-17 yrs,0,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,0 +1986,10,0,other external,15-17 yrs,4,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,13.948946952819824 +1986,10,0,internal,15-17 yrs,5,28676,15.986713409423828,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,17.43618392944336 +1986,10,0,all,18-20 yrs,33,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,102.41767883300781 +1986,10,0,MVA,18-20 yrs,22,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,68.27845001220703 +1986,10,0,suicide,18-20 yrs,4,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,12.414263725280762 +1986,10,0,homicide,18-20 yrs,1,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.1035659313201904 +1986,10,0,other external,18-20 yrs,1,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,3.1035659313201904 +1986,10,0,internal,18-20 yrs,5,32221,19.056671142578125,0,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,15.517829895019531 +1986,10,0,all,21-24 yrs,58,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,122.35254669189453 +1986,10,0,MVA,21-24 yrs,24,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,50.628639221191406 +1986,10,0,suicide,21-24 yrs,9,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,18.98573875427246 +1986,10,0,homicide,21-24 yrs,5,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,10.547633171081543 +1986,10,0,other external,21-24 yrs,6,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,12.657159805297852 +1986,10,0,internal,21-24 yrs,14,47404,22.51215171813965,1,0.058865081518888474,1.4500000476837158,0.4399999976158142,1.2300000190734863,3.130000114440918,29.53337287902832 +1987,10,0,MVA,15-17 yrs,9,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,31.906972885131836 +1987,10,0,suicide,15-17 yrs,2,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,7.090438365936279 +1987,10,0,homicide,15-17 yrs,0,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,0 +1987,10,0,other external,15-17 yrs,1,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,3.5452191829681396 +1987,10,0,internal,15-17 yrs,8,28207,16.029531478881836,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,28.361753463745117 +1987,10,0,all,18-20 yrs,21,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,65.9796371459961 +1987,10,0,MVA,18-20 yrs,8,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,25.135101318359375 +1987,10,0,suicide,18-20 yrs,4,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.567550659179688 +1987,10,0,homicide,18-20 yrs,4,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.567550659179688 +1987,10,0,other external,18-20 yrs,3,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,9.425662994384766 +1987,10,0,internal,18-20 yrs,2,31828,19.044206619262695,0,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,6.283775329589844 +1987,10,0,all,21-24 yrs,54,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,116.67855072021484 +1987,10,0,MVA,21-24 yrs,25,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,54.01784896850586 +1987,10,0,suicide,21-24 yrs,11,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,23.767852783203125 +1987,10,0,homicide,21-24 yrs,4,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,8.642855644226074 +1987,10,0,other external,21-24 yrs,8,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,17.28571128845215 +1987,10,0,internal,21-24 yrs,6,46281,22.50923728942871,1,0.05679236724972725,1.440000057220459,0.41999998688697815,1.2200000286102295,3.0799999237060547,12.964282989501953 +1988,10,0,MVA,15-17 yrs,9,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,33.443572998046875 +1988,10,0,suicide,15-17 yrs,4,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,14.863810539245605 +1988,10,0,homicide,15-17 yrs,0,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,0 +1988,10,0,other external,15-17 yrs,1,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,3.7159526348114014 +1988,10,0,internal,15-17 yrs,2,26911,16.062725067138672,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,7.431905269622803 +1988,10,0,all,18-20 yrs,35,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,108.55742645263672 +1988,10,0,MVA,18-20 yrs,19,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,58.931175231933594 +1988,10,0,suicide,18-20 yrs,5,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,15.508203506469727 +1988,10,0,homicide,18-20 yrs,2,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,6.203281402587891 +1988,10,0,other external,18-20 yrs,3,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,9.304922103881836 +1988,10,0,internal,18-20 yrs,6,32241,19.017990112304688,0,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,18.609844207763672 +1988,10,0,all,21-24 yrs,50,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,110.34117126464844 +1988,10,0,MVA,21-24 yrs,20,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,44.136470794677734 +1988,10,0,suicide,21-24 yrs,9,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,19.861412048339844 +1988,10,0,homicide,21-24 yrs,5,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,11.034117698669434 +1988,10,0,other external,21-24 yrs,3,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,6.6204705238342285 +1988,10,0,internal,21-24 yrs,13,45314,22.51555824279785,1,0.05453603342175484,1.440000057220459,0.4000000059604645,1.190000057220459,3.0299999713897705,28.688705444335938 +1989,10,0,MVA,15-17 yrs,7,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,27.858478546142578 +1989,10,0,suicide,15-17 yrs,2,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,7.95956563949585 +1989,10,0,homicide,15-17 yrs,0,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,other external,15-17 yrs,1,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,3.979782819747925 +1989,10,0,internal,15-17 yrs,1,25127,16.048831939697266,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,3.979782819747925 +1989,10,0,all,18-20 yrs,20,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,59.797882080078125 +1989,10,0,MVA,18-20 yrs,15,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,44.848411560058594 +1989,10,0,suicide,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,homicide,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,other external,18-20 yrs,0,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,0 +1989,10,0,internal,18-20 yrs,5,33446,19.01895523071289,0,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,14.949470520019531 +1989,10,0,all,21-24 yrs,47,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,107.18113708496094 +1989,10,0,MVA,21-24 yrs,16,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,36.4871940612793 +1989,10,0,suicide,21-24 yrs,9,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,20.5240478515625 +1989,10,0,homicide,21-24 yrs,2,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,4.560899257659912 +1989,10,0,other external,21-24 yrs,10,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,22.80449676513672 +1989,10,0,internal,21-24 yrs,10,43851,22.512554168701172,1,0.05202913656830788,1.399999976158142,0.3799999952316284,1.1299999952316284,2.9100000858306885,22.80449676513672 +1990,10,0,MVA,15-17 yrs,7,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,28.446033477783203 +1990,10,0,suicide,15-17 yrs,1,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,4.063719272613525 +1990,10,0,homicide,15-17 yrs,3,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,12.191157341003418 +1990,10,0,other external,15-17 yrs,3,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,12.191157341003418 +1990,10,0,internal,15-17 yrs,5,24608,16.008047103881836,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,20.31859588623047 +1990,10,0,all,18-20 yrs,32,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,96.223236083984375 +1990,10,0,MVA,18-20 yrs,13,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,39.09069061279297 +1990,10,0,suicide,18-20 yrs,7,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,21.0488338470459 +1990,10,0,homicide,18-20 yrs,3,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,9.020928382873535 +1990,10,0,other external,18-20 yrs,2,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,6.013952255249023 +1990,10,0,internal,18-20 yrs,7,33256,19.068138122558594,0,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,21.0488338470459 +1990,10,0,all,21-24 yrs,35,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,81.351837158203125 +1990,10,0,MVA,21-24 yrs,14,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,32.540733337402344 +1990,10,0,suicide,21-24 yrs,2,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,4.64867639541626 +1990,10,0,homicide,21-24 yrs,6,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,13.946028709411621 +1990,10,0,other external,21-24 yrs,4,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,9.29735279083252 +1990,10,0,internal,21-24 yrs,9,43023,22.49208641052246,1,0.11970284581184387,1.440000057220459,0.3700000047683716,1.1399999856948853,2.950000047683716,20.919042587280273 +1991,10,0,MVA,15-17 yrs,4,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,16.17534065246582 +1991,10,0,suicide,15-17 yrs,1,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.043835163116455 +1991,10,0,homicide,15-17 yrs,4,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,16.17534065246582 +1991,10,0,other external,15-17 yrs,0,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,0 +1991,10,0,internal,15-17 yrs,1,24729,15.998139381408691,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.043835163116455 +1991,10,0,all,18-20 yrs,19,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,62.51233673095703 +1991,10,0,MVA,18-20 yrs,11,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,36.19135284423828 +1991,10,0,suicide,18-20 yrs,1,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,3.2901229858398438 +1991,10,0,homicide,18-20 yrs,2,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,6.5802459716796875 +1991,10,0,other external,18-20 yrs,1,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,3.2901229858398438 +1991,10,0,internal,18-20 yrs,4,30394,19.115385055541992,0,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,13.160491943359375 +1991,10,0,all,21-24 yrs,28,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,63.6479377746582 +1991,10,0,MVA,21-24 yrs,8,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,18.18512535095215 +1991,10,0,suicide,21-24 yrs,2,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,4.546281337738037 +1991,10,0,homicide,21-24 yrs,6,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,13.638843536376953 +1991,10,0,other external,21-24 yrs,4,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,9.092562675476074 +1991,10,0,internal,21-24 yrs,8,43992,22.46110725402832,1,0.11486902832984924,1.399999976158142,0.3499999940395355,0.949999988079071,2.700000047683716,18.18512535095215 +1992,10,0,MVA,15-17 yrs,7,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,27.503829956054688 +1992,10,0,suicide,15-17 yrs,0,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,0 +1992,10,0,homicide,15-17 yrs,1,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.9291186332702637 +1992,10,0,other external,15-17 yrs,1,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.9291186332702637 +1992,10,0,internal,15-17 yrs,2,25451,15.995677947998047,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.858237266540527 +1992,10,0,all,18-20 yrs,22,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,80.65107727050781 +1992,10,0,MVA,18-20 yrs,13,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,47.65745162963867 +1992,10,0,suicide,18-20 yrs,4,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,14.66383171081543 +1992,10,0,homicide,18-20 yrs,2,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.331915855407715 +1992,10,0,other external,18-20 yrs,2,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,7.331915855407715 +1992,10,0,internal,18-20 yrs,1,27278,19.078121185302734,0,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,3.6659579277038574 +1992,10,0,all,21-24 yrs,38,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,84.38631439208984 +1992,10,0,MVA,21-24 yrs,21,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,46.63454055786133 +1992,10,0,suicide,21-24 yrs,5,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,11.103462219238281 +1992,10,0,homicide,21-24 yrs,4,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,8.882769584655762 +1992,10,0,other external,21-24 yrs,2,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,4.441384792327881 +1992,10,0,internal,21-24 yrs,6,45031,22.46210479736328,1,0.111512191593647,1.399999976158142,0.36000001430511475,0.9700000286102295,2.7300000190734863,13.3241548538208 +1993,10,0,MVA,15-17 yrs,6,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,23.148147583007812 +1993,10,0,suicide,15-17 yrs,3,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,11.574073791503906 +1993,10,0,homicide,15-17 yrs,1,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,3.8580245971679688 +1993,10,0,other external,15-17 yrs,0,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,0 +1993,10,0,internal,15-17 yrs,4,25920,15.995100021362305,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.432098388671875 +1993,10,0,all,18-20 yrs,24,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,91.8203353881836 +1993,10,0,MVA,18-20 yrs,8,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,30.606779098510742 +1993,10,0,suicide,18-20 yrs,1,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,3.8258473873138428 +1993,10,0,homicide,18-20 yrs,4,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.303389549255371 +1993,10,0,other external,18-20 yrs,4,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,15.303389549255371 +1993,10,0,internal,18-20 yrs,7,26138,19.0192813873291,0,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,26.78093147277832 +1993,10,0,all,21-24 yrs,34,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,76.14952087402344 +1993,10,0,MVA,21-24 yrs,9,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,20.1572265625 +1993,10,0,suicide,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,homicide,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,other external,21-24 yrs,4,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,8.95876693725586 +1993,10,0,internal,21-24 yrs,13,44649,22.540908813476562,1,0.10827101022005081,1.4600000381469727,0.3499999940395355,0.949999988079071,2.759999990463257,29.11599349975586 +1994,10,0,MVA,15-17 yrs,3,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,11.166114807128906 +1994,10,0,suicide,15-17 yrs,0,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,0 +1994,10,0,homicide,15-17 yrs,1,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,3.7220382690429688 +1994,10,0,other external,15-17 yrs,1,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,3.7220382690429688 +1994,10,0,internal,15-17 yrs,6,26867,15.994751930236816,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,22.332229614257812 +1994,10,0,all,18-20 yrs,23,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,87.20709991455078 +1994,10,0,MVA,18-20 yrs,8,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,30.332902908325195 +1994,10,0,suicide,18-20 yrs,4,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,15.166451454162598 +1994,10,0,homicide,18-20 yrs,2,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,7.583225727081299 +1994,10,0,other external,18-20 yrs,6,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,22.749677658081055 +1994,10,0,internal,18-20 yrs,3,26374,19.010236740112305,0,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,11.374838829040527 +1994,10,0,all,21-24 yrs,46,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,108.62378692626953 +1994,10,0,MVA,21-24 yrs,12,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,28.336639404296875 +1994,10,0,suicide,21-24 yrs,8,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,18.89109230041504 +1994,10,0,homicide,21-24 yrs,6,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,14.168319702148438 +1994,10,0,other external,21-24 yrs,7,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,16.529706954956055 +1994,10,0,internal,21-24 yrs,13,42348,22.62272071838379,1,0.10556789487600327,1.4299999475479126,0.3799999952316284,0.949999988079071,2.759999990463257,30.698026657104492 +1995,10,0,MVA,15-17 yrs,5,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,18.018667221069336 +1995,10,0,suicide,15-17 yrs,0,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,0 +1995,10,0,homicide,15-17 yrs,2,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,7.207467079162598 +1995,10,0,other external,15-17 yrs,3,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,10.811200141906738 +1995,10,0,internal,15-17 yrs,6,27749,15.987639427185059,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,21.622400283813477 +1995,10,0,all,18-20 yrs,29,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,105.80852508544922 +1995,10,0,MVA,18-20 yrs,8,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,29.18855857849121 +1995,10,0,suicide,18-20 yrs,4,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,14.594279289245605 +1995,10,0,homicide,18-20 yrs,4,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,14.594279289245605 +1995,10,0,other external,18-20 yrs,5,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,18.242849349975586 +1995,10,0,internal,18-20 yrs,8,27408,19.008792877197266,0,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,29.18855857849121 +1995,10,0,all,21-24 yrs,30,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,75.67539978027344 +1995,10,0,MVA,21-24 yrs,12,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,30.270160675048828 +1995,10,0,suicide,21-24 yrs,6,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,15.135080337524414 +1995,10,0,homicide,21-24 yrs,2,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,5.045026779174805 +1995,10,0,other external,21-24 yrs,3,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,7.567540168762207 +1995,10,0,internal,21-24 yrs,7,39643,22.635496139526367,1,0.10265854001045227,1.2999999523162842,0.4000000059604645,0.9200000166893005,2.619999885559082,17.657594680786133 +1996,10,0,MVA,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,suicide,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,homicide,15-17 yrs,3,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.48071575164795 +1996,10,0,other external,15-17 yrs,1,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,3.4935717582702637 +1996,10,0,internal,15-17 yrs,6,28624,16.005590438842773,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,20.9614315032959 +1996,10,0,all,18-20 yrs,24,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,85.33940124511719 +1996,10,0,MVA,18-20 yrs,14,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,49.78131866455078 +1996,10,0,suicide,18-20 yrs,2,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,7.111616611480713 +1996,10,0,homicide,18-20 yrs,2,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,7.111616611480713 +1996,10,0,other external,18-20 yrs,3,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.667425155639648 +1996,10,0,internal,18-20 yrs,3,28123,19.00540542602539,0,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,10.667425155639648 +1996,10,0,all,21-24 yrs,30,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,81.11615753173828 +1996,10,0,MVA,21-24 yrs,11,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,29.742591857910156 +1996,10,0,suicide,21-24 yrs,5,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,13.519359588623047 +1996,10,0,homicide,21-24 yrs,2,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,5.40774393081665 +1996,10,0,other external,21-24 yrs,5,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,13.519359588623047 +1996,10,0,internal,21-24 yrs,7,36984,22.55202293395996,1,0.09971422702074051,1.3899999856948853,0.44999998807907104,0.9399999976158142,2.7799999713897705,18.92710304260254 +1970,11,1,MVA,15-17 yrs,7,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,19.577680587768555 +1970,11,1,suicide,15-17 yrs,0,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,0 +1970,11,1,homicide,15-17 yrs,6,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,16.78087043762207 +1970,11,1,other external,15-17 yrs,6,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,16.78087043762207 +1970,11,1,internal,15-17 yrs,30,35755,15.982352256774902,0,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,83.90435028076172 +1970,11,1,all,18-20 yrs,100,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,215.70318603515625 +1970,11,1,MVA,18-20 yrs,15,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,32.3554801940918 +1970,11,1,suicide,18-20 yrs,3,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,6.471095561981201 +1970,11,1,homicide,18-20 yrs,15,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,32.3554801940918 +1970,11,1,other external,18-20 yrs,25,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,53.92579650878906 +1970,11,1,internal,18-20 yrs,42,46360,19.048856735229492,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,90.59534454345703 +1970,11,1,all,21-24 yrs,155,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,245.0050506591797 +1970,11,1,MVA,21-24 yrs,14,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,22.12948989868164 +1970,11,1,suicide,21-24 yrs,7,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,11.06474494934082 +1970,11,1,homicide,21-24 yrs,39,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,61.64643478393555 +1970,11,1,other external,21-24 yrs,29,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,45.839656829833984 +1970,11,1,internal,21-24 yrs,66,63264,22.4316349029541,1,0.18706351518630981,1.3899999856948853,0.8199999928474426,4.440000057220459,6.639999866485596,104.32473754882812 +1971,11,1,MVA,15-17 yrs,6,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,16.48396873474121 +1971,11,1,suicide,15-17 yrs,1,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,2.747328281402588 +1971,11,1,homicide,15-17 yrs,15,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,41.209922790527344 +1971,11,1,other external,15-17 yrs,9,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,24.725954055786133 +1971,11,1,internal,15-17 yrs,23,36399,15.988378524780273,0,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,63.18854904174805 +1971,11,1,all,18-20 yrs,95,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,212.5374755859375 +1971,11,1,MVA,18-20 yrs,9,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,20.135129928588867 +1971,11,1,suicide,18-20 yrs,2,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,4.474472999572754 +1971,11,1,homicide,18-20 yrs,20,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,44.74473190307617 +1971,11,1,other external,18-20 yrs,26,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,58.16815185546875 +1971,11,1,internal,18-20 yrs,38,44698,19.052753448486328,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,85.0149917602539 +1971,11,1,all,21-24 yrs,167,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,262.4300842285156 +1971,11,1,MVA,21-24 yrs,18,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,28.28587532043457 +1971,11,1,suicide,21-24 yrs,8,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,12.571500778198242 +1971,11,1,homicide,21-24 yrs,38,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,59.71462631225586 +1971,11,1,other external,21-24 yrs,26,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,40.85737609863281 +1971,11,1,internal,21-24 yrs,77,63636,22.545305252075195,1,0.17921146750450134,1.3700000047683716,0.9100000262260437,4.449999809265137,6.739999771118164,121.00069427490234 +1972,11,1,MVA,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,suicide,15-17 yrs,2,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,5.452859878540039 +1972,11,1,homicide,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,other external,15-17 yrs,8,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,21.811439514160156 +1972,11,1,internal,15-17 yrs,14,36678,15.992610931396484,0,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,38.170021057128906 +1972,11,1,all,18-20 yrs,96,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,214.95263671875 +1972,11,1,MVA,18-20 yrs,8,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,17.9127197265625 +1972,11,1,suicide,18-20 yrs,2,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,4.478179931640625 +1972,11,1,homicide,18-20 yrs,20,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,44.78179931640625 +1972,11,1,other external,18-20 yrs,22,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,49.259979248046875 +1972,11,1,internal,18-20 yrs,44,44661,19.025951385498047,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,98.51995849609375 +1972,11,1,all,21-24 yrs,136,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,222.27670288085938 +1972,11,1,MVA,21-24 yrs,8,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,13.07509994506836 +1972,11,1,suicide,21-24 yrs,8,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,13.07509994506836 +1972,11,1,homicide,21-24 yrs,30,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,49.03162384033203 +1972,11,1,other external,21-24 yrs,46,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,75.18182373046875 +1972,11,1,internal,21-24 yrs,44,61185,22.513639450073242,1,0.17363791167736053,1.340000033378601,0.8899999856948853,4.159999847412109,6.400000095367432,71.91304779052734 +1973,11,1,MVA,15-17 yrs,6,36823,15.995030403137207,0,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,16.294164657592773 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yrs,13,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,28.890172958374023 +1973,11,1,suicide,18-20 yrs,1,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,2.222321033477783 +1973,11,1,homicide,18-20 yrs,19,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,42.224098205566406 +1973,11,1,other external,18-20 yrs,7,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,15.556246757507324 +1973,11,1,internal,18-20 yrs,29,44998,19.010801315307617,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,64.44731140136719 +1973,11,1,all,21-24 yrs,117,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,200.24302673339844 +1973,11,1,MVA,21-24 yrs,5,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,8.557394027709961 +1973,11,1,suicide,21-24 yrs,12,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,20.53774642944336 +1973,11,1,homicide,21-24 yrs,41,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,70.1706314086914 +1973,11,1,other external,21-24 yrs,15,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,25.672183990478516 +1973,11,1,internal,21-24 yrs,44,58429,22.509096145629883,1,0.16346991062164307,1.3899999856948853,0.9200000166893005,3.890000104904175,6.210000038146973,75.30506896972656 +1974,11,1,MVA,15-17 yrs,6,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,16.32209014892578 +1974,11,1,suicide,15-17 yrs,2,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,5.4406962394714355 +1974,11,1,homicide,15-17 yrs,11,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,29.923830032348633 +1974,11,1,other external,15-17 yrs,4,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,10.881392478942871 +1974,11,1,internal,15-17 yrs,13,36760,16.000816345214844,0,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,35.364524841308594 +1974,11,1,all,18-20 yrs,58,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,128.5290069580078 +1974,11,1,MVA,18-20 yrs,8,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,17.728139877319336 +1974,11,1,suicide,18-20 yrs,6,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,13.296104431152344 +1974,11,1,homicide,18-20 yrs,14,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,31.024242401123047 +1974,11,1,other external,18-20 yrs,10,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,22.160173416137695 +1974,11,1,internal,18-20 yrs,20,45126,19.006824493408203,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,44.32034683227539 +1974,11,1,all,21-24 yrs,131,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,234.3260955810547 +1974,11,1,MVA,21-24 yrs,17,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,30.408729553222656 +1974,11,1,suicide,21-24 yrs,9,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,16.098739624023438 +1974,11,1,homicide,21-24 yrs,42,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,75.12744903564453 +1974,11,1,other external,21-24 yrs,12,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,21.464984893798828 +1974,11,1,internal,21-24 yrs,51,55905,22.496789932250977,1,0.1472223997116089,1.3899999856948853,0.8899999856948853,3.759999990463257,6.039999961853027,91.22618865966797 +1975,11,1,MVA,15-17 yrs,2,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,5.4745025634765625 +1975,11,1,suicide,15-17 yrs,1,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,2.7372512817382812 +1975,11,1,homicide,15-17 yrs,7,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,19.16075897216797 +1975,11,1,other external,15-17 yrs,3,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,8.211753845214844 +1975,11,1,internal,15-17 yrs,16,36533,16.005064010620117,0,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,43.7960205078125 +1975,11,1,all,18-20 yrs,70,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,153.56939697265625 +1975,11,1,MVA,18-20 yrs,6,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,13.163090705871582 +1975,11,1,suicide,18-20 yrs,7,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,15.356939315795898 +1975,11,1,homicide,18-20 yrs,16,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,35.1015739440918 +1975,11,1,other external,18-20 yrs,9,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,19.74463653564453 +1975,11,1,internal,18-20 yrs,32,45582,19.00204086303711,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,70.2031478881836 +1975,11,1,all,21-24 yrs,119,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,214.81695556640625 +1975,11,1,MVA,21-24 yrs,10,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,18.05184555053711 +1975,11,1,suicide,21-24 yrs,10,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,18.05184555053711 +1975,11,1,homicide,21-24 yrs,35,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,63.18145751953125 +1975,11,1,other external,21-24 yrs,17,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,30.68813705444336 +1975,11,1,internal,21-24 yrs,47,55396,22.4885196685791,1,0.1349082589149475,1.3700000047683716,0.9200000166893005,3.7100000381469727,6,84.84367370605469 +1976,11,1,MVA,15-17 yrs,2,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,5.586904525756836 +1976,11,1,suicide,15-17 yrs,1,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,2.793452262878418 +1976,11,1,homicide,15-17 yrs,7,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,19.55416488647461 +1976,11,1,other external,15-17 yrs,1,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,2.793452262878418 +1976,11,1,internal,15-17 yrs,13,35798,16.01315689086914,0,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,36.314876556396484 +1976,11,1,all,18-20 yrs,50,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,108.79025268554688 +1976,11,1,MVA,18-20 yrs,6,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,13.054830551147461 +1976,11,1,suicide,18-20 yrs,3,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,6.5274152755737305 +1976,11,1,homicide,18-20 yrs,17,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,36.988685607910156 +1976,11,1,other external,18-20 yrs,6,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,13.054830551147461 +1976,11,1,internal,18-20 yrs,18,45960,18.998672485351562,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,39.16448974609375 +1976,11,1,all,21-24 yrs,101,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,183.11366271972656 +1976,11,1,MVA,21-24 yrs,8,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,14.50405216217041 +1976,11,1,suicide,21-24 yrs,14,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,25.382091522216797 +1976,11,1,homicide,21-24 yrs,29,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,52.57719039916992 +1976,11,1,other external,21-24 yrs,7,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,12.691045761108398 +1976,11,1,internal,21-24 yrs,43,55157,22.467357635498047,1,0.12755824625492096,1.340000033378601,0.9399999976158142,3.569999933242798,5.860000133514404,77.95928192138672 +1977,11,1,MVA,15-17 yrs,4,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,11.56771469116211 +1977,11,1,suicide,15-17 yrs,2,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,5.783857345581055 +1977,11,1,homicide,15-17 yrs,6,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,17.351572036743164 +1977,11,1,other external,15-17 yrs,2,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,5.783857345581055 +1977,11,1,internal,15-17 yrs,15,34579,16.024465560913086,0,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,43.378929138183594 +1977,11,1,all,18-20 yrs,65,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,142.52822875976562 +1977,11,1,MVA,18-20 yrs,9,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,19.734678268432617 +1977,11,1,suicide,18-20 yrs,8,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,17.54193687438965 +1977,11,1,homicide,18-20 yrs,13,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,28.505645751953125 +1977,11,1,other external,18-20 yrs,7,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,15.349194526672363 +1977,11,1,internal,18-20 yrs,28,45605,18.99776268005371,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,61.39677810668945 +1977,11,1,all,21-24 yrs,88,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,159.535888671875 +1977,11,1,MVA,21-24 yrs,5,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,9.064539909362793 +1977,11,1,suicide,21-24 yrs,10,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,18.129079818725586 +1977,11,1,homicide,21-24 yrs,23,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,41.69688034057617 +1977,11,1,other external,21-24 yrs,11,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,19.941986083984375 +1977,11,1,internal,21-24 yrs,39,55160,22.47075843811035,1,0.11977004259824753,1.3899999856948853,0.8899999856948853,3.259999990463257,5.53000020980835,70.70340728759766 +1978,11,1,MVA,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,suicide,15-17 yrs,0,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,0 +1978,11,1,homicide,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,other external,15-17 yrs,2,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,5.97086238861084 +1978,11,1,internal,15-17 yrs,19,33496,16.020748138427734,0,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,56.72319030761719 +1978,11,1,all,18-20 yrs,37,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,81.38844299316406 +1978,11,1,MVA,18-20 yrs,4,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,8.798750877380371 +1978,11,1,suicide,18-20 yrs,1,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,2.1996877193450928 +1978,11,1,homicide,18-20 yrs,9,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,19.797189712524414 +1978,11,1,other external,18-20 yrs,3,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,6.599062919616699 +1978,11,1,internal,18-20 yrs,20,45461,18.99520492553711,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,43.993751525878906 +1978,11,1,all,21-24 yrs,92,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,165.36056518554688 +1978,11,1,MVA,21-24 yrs,7,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,12.581781387329102 +1978,11,1,suicide,21-24 yrs,6,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,10.784383773803711 +1978,11,1,homicide,21-24 yrs,20,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,35.94794845581055 +1978,11,1,other external,21-24 yrs,7,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,12.581781387329102 +1978,11,1,internal,21-24 yrs,52,55636,22.478557586669922,1,0.11132001131772995,1.4299999475479126,0.9399999976158142,3.140000104904175,5.510000228881836,93.46466064453125 +1979,11,1,MVA,15-17 yrs,3,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,9.26755428314209 +1979,11,1,suicide,15-17 yrs,0,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,0 +1979,11,1,homicide,15-17 yrs,6,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,18.53510856628418 +1979,11,1,other external,15-17 yrs,4,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,12.356739044189453 +1979,11,1,internal,15-17 yrs,19,32371,16.01535415649414,0,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,58.69451141357422 +1979,11,1,all,18-20 yrs,50,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,111.83180236816406 +1979,11,1,MVA,18-20 yrs,4,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,8.946544647216797 +1979,11,1,suicide,18-20 yrs,3,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,6.709908485412598 +1979,11,1,homicide,18-20 yrs,19,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,42.49608612060547 +1979,11,1,other external,18-20 yrs,8,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,17.893089294433594 +1979,11,1,internal,18-20 yrs,16,44710,18.995616912841797,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,35.78617858886719 +1979,11,1,all,21-24 yrs,79,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,142.14768981933594 +1979,11,1,MVA,21-24 yrs,7,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,12.595364570617676 +1979,11,1,suicide,21-24 yrs,8,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,14.394702911376953 +1979,11,1,homicide,21-24 yrs,19,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,34.18741989135742 +1979,11,1,other external,21-24 yrs,13,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,23.39139175415039 +1979,11,1,internal,21-24 yrs,32,55576,22.48501205444336,1,0.09997333586215973,1.4800000190734863,0.9900000095367432,3.0299999713897705,5.489999771118164,57.57881164550781 +1980,11,1,MVA,15-17 yrs,3,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,9.961482048034668 +1980,11,1,suicide,15-17 yrs,5,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,16.60247039794922 +1980,11,1,homicide,15-17 yrs,9,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,29.88444709777832 +1980,11,1,other external,15-17 yrs,5,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,16.60247039794922 +1980,11,1,internal,15-17 yrs,13,30116,16.033403396606445,0,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,43.16642379760742 +1980,11,1,all,18-20 yrs,42,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,103.17636108398438 +1980,11,1,MVA,18-20 yrs,6,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,14.739480018615723 +1980,11,1,suicide,18-20 yrs,5,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,12.282899856567383 +1980,11,1,homicide,18-20 yrs,19,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,46.675018310546875 +1980,11,1,other external,18-20 yrs,3,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,7.369740009307861 +1980,11,1,internal,18-20 yrs,9,40707,19.04384994506836,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,22.10921859741211 +1980,11,1,all,21-24 yrs,105,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,187.10906982421875 +1980,11,1,MVA,21-24 yrs,12,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,21.383893966674805 +1980,11,1,suicide,21-24 yrs,8,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,14.255929946899414 +1980,11,1,homicide,21-24 yrs,31,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,55.24172592163086 +1980,11,1,other external,21-24 yrs,7,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,12.47393798828125 +1980,11,1,internal,21-24 yrs,47,56117,22.49897575378418,1,0.08808330446481705,1.4900000095367432,0.9900000095367432,2.940000057220459,5.420000076293945,83.75358581542969 +1981,11,1,MVA,15-17 yrs,4,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,13.93145751953125 +1981,11,1,suicide,15-17 yrs,0,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,0 +1981,11,1,homicide,15-17 yrs,4,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,13.93145751953125 +1981,11,1,other external,15-17 yrs,2,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,6.965728759765625 +1981,11,1,internal,15-17 yrs,18,28712,16.040748596191406,0,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,62.691558837890625 +1981,11,1,all,18-20 yrs,63,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,163.0645751953125 +1981,11,1,MVA,18-20 yrs,14,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,36.236572265625 +1981,11,1,suicide,18-20 yrs,2,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,5.1766533851623535 +1981,11,1,homicide,18-20 yrs,17,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,44.00155258178711 +1981,11,1,other external,18-20 yrs,8,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,20.706613540649414 +1981,11,1,internal,18-20 yrs,22,38635,19.107622146606445,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,56.94318771362305 +1981,11,1,all,21-24 yrs,103,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,178.7542724609375 +1981,11,1,MVA,21-24 yrs,11,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,19.090261459350586 +1981,11,1,suicide,21-24 yrs,7,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,12.148348808288574 +1981,11,1,homicide,21-24 yrs,34,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,59.006263732910156 +1981,11,1,other external,21-24 yrs,9,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,15.619305610656738 +1981,11,1,internal,21-24 yrs,42,57621,22.5150203704834,1,0.07984668761491776,1.5,1.059999942779541,2.9200000762939453,5.489999771118164,72.89009094238281 +1982,11,1,MVA,15-17 yrs,7,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,25.97209930419922 +1982,11,1,suicide,15-17 yrs,0,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,0 +1982,11,1,homicide,15-17 yrs,5,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,18.551498413085938 +1982,11,1,other external,15-17 yrs,4,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.841198921203613 +1982,11,1,internal,15-17 yrs,15,26952,16.038921356201172,0,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,55.65449523925781 +1982,11,1,all,18-20 yrs,43,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,120.44480895996094 +1982,11,1,MVA,18-20 yrs,4,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,11.204168319702148 +1982,11,1,suicide,18-20 yrs,5,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.005209922790527 +1982,11,1,homicide,18-20 yrs,16,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,44.816673278808594 +1982,11,1,other external,18-20 yrs,5,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,14.005209922790527 +1982,11,1,internal,18-20 yrs,13,35701,19.080474853515625,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,36.41354751586914 +1982,11,1,all,21-24 yrs,92,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,155.37916564941406 +1982,11,1,MVA,21-24 yrs,3,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,5.066711902618408 +1982,11,1,suicide,21-24 yrs,11,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,18.577943801879883 +1982,11,1,homicide,21-24 yrs,25,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,42.222599029541016 +1982,11,1,other external,21-24 yrs,14,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,23.644655227661133 +1982,11,1,internal,21-24 yrs,39,59210,22.498395919799805,1,0.07521310448646545,1.4800000190734863,1,2.9100000858306885,5.389999866485596,65.86724853515625 +1983,11,1,MVA,15-17 yrs,4,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,15.715239524841309 +1983,11,1,suicide,15-17 yrs,2,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,7.857619762420654 +1983,11,1,homicide,15-17 yrs,7,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,27.50166893005371 +1983,11,1,other external,15-17 yrs,5,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,19.64405059814453 +1983,11,1,internal,15-17 yrs,9,25453,16.046634674072266,0,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,35.359291076660156 +1983,11,1,all,18-20 yrs,58,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,171.7500762939453 +1983,11,1,MVA,18-20 yrs,10,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,29.61208152770996 +1983,11,1,suicide,18-20 yrs,2,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,5.9224162101745605 +1983,11,1,homicide,18-20 yrs,17,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,50.340538024902344 +1983,11,1,other external,18-20 yrs,7,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,20.728456497192383 +1983,11,1,internal,18-20 yrs,22,33770,19.054574966430664,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,65.1465835571289 +1983,11,1,all,21-24 yrs,92,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,155.2847442626953 +1983,11,1,MVA,21-24 yrs,11,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,18.566654205322266 +1983,11,1,suicide,21-24 yrs,14,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,23.630287170410156 +1983,11,1,homicide,21-24 yrs,30,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,50.636329650878906 +1983,11,1,other external,21-24 yrs,14,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,23.630287170410156 +1983,11,1,internal,21-24 yrs,23,59246,22.542905807495117,1,0.07287213206291199,1.5499999523162842,1.0800000429153442,2.7899999618530273,5.409999847412109,38.82118606567383 +1984,11,1,MVA,15-17 yrs,4,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,16.271406173706055 +1984,11,1,suicide,15-17 yrs,2,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,8.135703086853027 +1984,11,1,homicide,15-17 yrs,6,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,24.4071102142334 +1984,11,1,other external,15-17 yrs,1,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,4.067851543426514 +1984,11,1,internal,15-17 yrs,17,24583,16.034860610961914,0,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,69.15348052978516 +1984,11,1,all,18-20 yrs,62,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,185.64541625976562 +1984,11,1,MVA,18-20 yrs,17,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,50.902774810791016 +1984,11,1,suicide,18-20 yrs,5,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,14.971405029296875 +1984,11,1,homicide,18-20 yrs,19,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,56.89133834838867 +1984,11,1,other external,18-20 yrs,12,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,35.93136978149414 +1984,11,1,internal,18-20 yrs,9,33397,19.065933227539062,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,26.948528289794922 +1984,11,1,all,21-24 yrs,100,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,173.283203125 +1984,11,1,MVA,21-24 yrs,10,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,17.328319549560547 +1984,11,1,suicide,21-24 yrs,13,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,22.52681541442871 +1984,11,1,homicide,21-24 yrs,31,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,53.71779251098633 +1984,11,1,other external,21-24 yrs,12,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,20.793983459472656 +1984,11,1,internal,21-24 yrs,34,57709,22.607755661010742,1,0.06985624879598618,1.559999942779541,1.1100000143051147,2.680000066757202,5.340000152587891,58.91628646850586 +1985,11,1,MVA,15-17 yrs,3,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,12.134940147399902 +1985,11,1,suicide,15-17 yrs,1,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,4.044980049133301 +1985,11,1,homicide,15-17 yrs,4,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,16.179920196533203 +1985,11,1,other external,15-17 yrs,1,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,4.044980049133301 +1985,11,1,internal,15-17 yrs,9,24722,16.00452995300293,0,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.404823303222656 +1985,11,1,all,18-20 yrs,44,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,134.64303588867188 +1985,11,1,MVA,18-20 yrs,12,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.720829010009766 +1985,11,1,suicide,18-20 yrs,3,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,9.180207252502441 +1985,11,1,homicide,18-20 yrs,14,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,42.84096908569336 +1985,11,1,other external,18-20 yrs,5,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,15.300345420837402 +1985,11,1,internal,18-20 yrs,10,32679,19.060956954956055,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,30.600690841674805 +1985,11,1,all,21-24 yrs,93,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,167.47100830078125 +1985,11,1,MVA,21-24 yrs,14,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,25.210689544677734 +1985,11,1,suicide,21-24 yrs,7,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,12.605344772338867 +1985,11,1,homicide,21-24 yrs,20,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,36.0152702331543 +1985,11,1,other external,21-24 yrs,15,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,27.01145362854004 +1985,11,1,internal,21-24 yrs,37,55532,22.633508682250977,1,0.06745412945747375,1.4900000095367432,1.0299999713897705,2.4200000762939453,4.940000057220459,66.62825012207031 +1986,11,0.9906046390533447,MVA,15-17 yrs,2,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,7.8118896484375 +1986,11,0.9906046390533447,suicide,15-17 yrs,2,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,7.8118896484375 +1986,11,0.9906046390533447,homicide,15-17 yrs,8,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,31.24755859375 +1986,11,0.9906046390533447,other external,15-17 yrs,4,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,15.623779296875 +1986,11,0.9906046390533447,internal,15-17 yrs,19,25602,15.99668025970459,0,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,74.21295166015625 +1986,11,0.9906046390533447,all,18-20 yrs,48,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,147.52435302734375 +1986,11,0.9906046390533447,MVA,18-20 yrs,7,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,21.51396942138672 +1986,11,0.9906046390533447,suicide,18-20 yrs,6,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,18.44054412841797 +1986,11,0.9906046390533447,homicide,18-20 yrs,13,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,39.95451354980469 +1986,11,0.9906046390533447,other external,18-20 yrs,6,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,18.44054412841797 +1986,11,0.9906046390533447,internal,18-20 yrs,16,32537,19.066692352294922,0.9906046390533447,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,49.17478561401367 +1986,11,0.9906046390533447,all,21-24 yrs,105,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,199.75648498535156 +1986,11,0.9906046390533447,MVA,21-24 yrs,9,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,17.121984481811523 +1986,11,0.9906046390533447,suicide,21-24 yrs,10,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,19.02442741394043 +1986,11,0.9906046390533447,homicide,21-24 yrs,28,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,53.26839828491211 +1986,11,0.9906046390533447,other external,21-24 yrs,10,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,19.02442741394043 +1986,11,0.9906046390533447,internal,21-24 yrs,48,52564,22.590499877929688,1,0.06622321903705597,1.5199999809265137,1.0399999618530273,2.190000057220459,4.75,91.31725311279297 +1987,11,0.773251473903656,MVA,15-17 yrs,6,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,23.668638229370117 +1987,11,0.773251473903656,suicide,15-17 yrs,2,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,7.8895463943481445 +1987,11,0.773251473903656,homicide,15-17 yrs,12,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,47.337276458740234 +1987,11,0.773251473903656,other external,15-17 yrs,2,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,7.8895463943481445 +1987,11,0.773251473903656,internal,15-17 yrs,14,25350,16.046035766601562,0,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,55.22682571411133 +1987,11,0.773251473903656,all,18-20 yrs,61,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,187.04197692871094 +1987,11,0.773251473903656,MVA,18-20 yrs,11,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,33.7288818359375 +1987,11,0.773251473903656,suicide,18-20 yrs,2,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,6.132524013519287 +1987,11,0.773251473903656,homicide,18-20 yrs,22,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,67.457763671875 +1987,11,0.773251473903656,other external,18-20 yrs,2,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,6.132524013519287 +1987,11,0.773251473903656,internal,18-20 yrs,24,32613,19.055959701538086,0.773251473903656,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,73.59028625488281 +1987,11,0.773251473903656,all,21-24 yrs,128,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,253.8020782470703 +1987,11,0.773251473903656,MVA,21-24 yrs,13,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,25.77677345275879 +1987,11,0.773251473903656,suicide,21-24 yrs,8,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,15.862629890441895 +1987,11,0.773251473903656,homicide,21-24 yrs,41,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,81.29597473144531 +1987,11,0.773251473903656,other external,21-24 yrs,14,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,27.759601593017578 +1987,11,0.773251473903656,internal,21-24 yrs,52,50433,22.55158233642578,1,0.06389141082763672,1.4800000190734863,1,2.369999885559082,4.849999904632568,103.10709381103516 +1988,11,0.42791441082954407,MVA,15-17 yrs,10,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,42.188751220703125 +1988,11,0.42791441082954407,suicide,15-17 yrs,0,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,0 +1988,11,0.42791441082954407,homicide,15-17 yrs,18,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,75.93975067138672 +1988,11,0.42791441082954407,other external,15-17 yrs,3,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,12.656625747680664 +1988,11,0.42791441082954407,internal,15-17 yrs,13,23703,16.095516204833984,0,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,54.84537887573242 +1988,11,0.42791441082954407,all,18-20 yrs,80,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,239.09860229492188 +1988,11,0.42791441082954407,MVA,18-20 yrs,11,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,32.87605667114258 +1988,11,0.42791441082954407,suicide,18-20 yrs,2,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,5.9774651527404785 +1988,11,0.42791441082954407,homicide,18-20 yrs,42,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,125.52676391601562 +1988,11,0.42791441082954407,other external,18-20 yrs,5,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,14.943662643432617 +1988,11,0.42791441082954407,internal,18-20 yrs,20,33459,19.030275344848633,0.42791441082954407,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,59.77465057373047 +1988,11,0.42791441082954407,all,21-24 yrs,150,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,303.0609130859375 +1988,11,0.42791441082954407,MVA,21-24 yrs,13,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,26.26527976989746 +1988,11,0.42791441082954407,suicide,21-24 yrs,6,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,12.1224365234375 +1988,11,0.42791441082954407,homicide,21-24 yrs,84,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,169.714111328125 +1988,11,0.42791441082954407,other external,21-24 yrs,7,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,14.142842292785645 +1988,11,0.42791441082954407,internal,21-24 yrs,40,49495,22.55302619934082,1,0.061353035271167755,1.4700000286102295,0.9900000095367432,2.0199999809265137,4.480000019073486,80.81624603271484 +1989,11,0.09417500346899033,MVA,15-17 yrs,5,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,23.40714454650879 +1989,11,0.09417500346899033,suicide,15-17 yrs,2,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,9.362857818603516 +1989,11,0.09417500346899033,homicide,15-17 yrs,33,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,154.48715209960938 +1989,11,0.09417500346899033,other external,15-17 yrs,3,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,14.044286727905273 +1989,11,0.09417500346899033,internal,15-17 yrs,6,21361,16.091053009033203,0,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,28.088573455810547 +1989,11,0.09417500346899033,all,18-20 yrs,100,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,284.55169677734375 +1989,11,0.09417500346899033,MVA,18-20 yrs,12,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,34.146202087402344 +1989,11,0.09417500346899033,suicide,18-20 yrs,2,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,5.691033840179443 +1989,11,0.09417500346899033,homicide,18-20 yrs,70,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,199.18618774414062 +1989,11,0.09417500346899033,other external,18-20 yrs,6,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,17.073101043701172 +1989,11,0.09417500346899033,internal,18-20 yrs,10,35143,19.026777267456055,0.09417500346899033,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,28.455169677734375 +1989,11,0.09417500346899033,all,21-24 yrs,148,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,306.4880065917969 +1989,11,0.09417500346899033,MVA,21-24 yrs,12,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,24.850379943847656 +1989,11,0.09417500346899033,suicide,21-24 yrs,5,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,10.354325294494629 +1989,11,0.09417500346899033,homicide,21-24 yrs,72,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,149.10227966308594 +1989,11,0.09417500346899033,other external,21-24 yrs,9,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,18.637784957885742 +1989,11,0.09417500346899033,internal,21-24 yrs,50,48289,22.543601989746094,1,0.07258065044879913,1.4900000095367432,0.8799999952316284,1.850000023841858,4.21999979019165,103.54325103759766 +1990,11,0,MVA,15-17 yrs,6,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,33.43177032470703 +1990,11,0,suicide,15-17 yrs,1,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,5.571961879730225 +1990,11,0,homicide,15-17 yrs,30,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,167.1588592529297 +1990,11,0,other external,15-17 yrs,3,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,16.715885162353516 +1990,11,0,internal,15-17 yrs,10,17947,16.096227645874023,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,55.71961975097656 +1990,11,0,all,18-20 yrs,116,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,332.36871337890625 +1990,11,0,MVA,18-20 yrs,9,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,25.787227630615234 +1990,11,0,suicide,18-20 yrs,2,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,5.730494976043701 +1990,11,0,homicide,18-20 yrs,83,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,237.81553649902344 +1990,11,0,other external,18-20 yrs,5,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,14.326236724853516 +1990,11,0,internal,18-20 yrs,17,34901,19.093435287475586,0,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,48.709205627441406 +1990,11,0,all,21-24 yrs,145,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,302.8088073730469 +1990,11,0,MVA,21-24 yrs,9,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,18.79503059387207 +1990,11,0,suicide,21-24 yrs,3,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,6.265009880065918 +1990,11,0,homicide,21-24 yrs,85,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,177.5086212158203 +1990,11,0,other external,21-24 yrs,6,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,12.530019760131836 +1990,11,0,internal,21-24 yrs,42,47885,22.527576446533203,1,0.06885998696088791,1.4199999570846558,0.7599999904632568,1.9600000381469727,4.139999866485596,87.71013641357422 +1991,11,0,MVA,15-17 yrs,7,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,42.66731643676758 +1991,11,0,suicide,15-17 yrs,4,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.381324768066406 +1991,11,0,homicide,15-17 yrs,36,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,219.43191528320312 +1991,11,0,other external,15-17 yrs,4,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.381324768066406 +1991,11,0,internal,15-17 yrs,8,16406,16.042850494384766,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,48.76264953613281 +1991,11,0,all,18-20 yrs,118,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,407.1773681640625 +1991,11,0,MVA,18-20 yrs,9,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,31.05590057373047 +1991,11,0,suicide,18-20 yrs,0,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,0 +1991,11,0,homicide,18-20 yrs,87,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,300.20703125 +1991,11,0,other external,18-20 yrs,7,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,24.15458869934082 +1991,11,0,internal,18-20 yrs,15,28980,19.1937198638916,0,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,51.75983428955078 +1991,11,0,all,21-24 yrs,163,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,346.21185302734375 +1991,11,0,MVA,21-24 yrs,13,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,27.611988067626953 +1991,11,0,suicide,21-24 yrs,5,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,10.6199951171875 +1991,11,0,homicide,21-24 yrs,97,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,206.0279083251953 +1991,11,0,other external,21-24 yrs,6,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,12.74399471282959 +1991,11,0,internal,21-24 yrs,42,47081,22.48943328857422,1,0.06607929617166519,1.4199999570846558,0.6100000143051147,1.850000023841858,3.890000104904175,89.20796203613281 +1992,11,0,MVA,15-17 yrs,4,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,25.395212173461914 +1992,11,0,suicide,15-17 yrs,1,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,6.3488030433654785 +1992,11,0,homicide,15-17 yrs,32,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,203.1616973876953 +1992,11,0,other external,15-17 yrs,2,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,12.697606086730957 +1992,11,0,internal,15-17 yrs,11,15751,16.020442962646484,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,69.83683776855469 +1992,11,0,all,18-20 yrs,102,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,447.27032470703125 +1992,11,0,MVA,18-20 yrs,7,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,30.695022583007812 +1992,11,0,suicide,18-20 yrs,3,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,13.155010223388672 +1992,11,0,homicide,18-20 yrs,68,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,298.18023681640625 +1992,11,0,other external,18-20 yrs,5,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,21.925016403198242 +1992,11,0,internal,18-20 yrs,19,22805,19.179609298706055,0,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,83.3150634765625 +1992,11,0,all,21-24 yrs,137,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,289.89801025390625 +1992,11,0,MVA,21-24 yrs,7,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,14.812307357788086 +1992,11,0,suicide,21-24 yrs,5,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,10.580219268798828 +1992,11,0,homicide,21-24 yrs,79,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,167.16746520996094 +1992,11,0,other external,21-24 yrs,6,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,12.696263313293457 +1992,11,0,internal,21-24 yrs,40,47258,22.473148345947266,1,0.06414825469255447,1.6100000143051147,0.699999988079071,1.7400000095367432,4.050000190734863,84.641754150390625 +1993,11,0,MVA,15-17 yrs,3,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,19.51092529296875 +1993,11,0,suicide,15-17 yrs,0,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,0 +1993,11,0,homicide,15-17 yrs,49,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,318.678466796875 +1993,11,0,other external,15-17 yrs,3,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,19.51092529296875 +1993,11,0,internal,15-17 yrs,10,15376,16.00702476501465,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,65.03642272949219 +1993,11,0,all,18-20 yrs,118,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,623.02008056640625 +1993,11,0,MVA,18-20 yrs,5,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,26.399154663085938 +1993,11,0,suicide,18-20 yrs,2,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,10.559661865234375 +1993,11,0,homicide,18-20 yrs,90,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,475.1847839355469 +1993,11,0,other external,18-20 yrs,4,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,21.11932373046875 +1993,11,0,internal,18-20 yrs,17,18940,19.09392738342285,0,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,89.75712585449219 +1993,11,0,all,21-24 yrs,139,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,305.8709716796875 +1993,11,0,MVA,21-24 yrs,13,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,28.60663604736328 +1993,11,0,suicide,21-24 yrs,3,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,6.601531505584717 +1993,11,0,homicide,21-24 yrs,89,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,195.84544372558594 +1993,11,0,other external,21-24 yrs,2,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,4.4010210037231445 +1993,11,0,internal,21-24 yrs,32,45444,22.564254760742188,1,0.06228373944759369,1.5099999904632568,0.7300000190734863,1.5399999618530273,3.7799999713897705,70.41633605957031 +1994,11,0,MVA,15-17 yrs,7,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,45.487037658691406 +1994,11,0,suicide,15-17 yrs,2,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,12.996295928955078 +1994,11,0,homicide,15-17 yrs,31,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,201.44259643554688 +1994,11,0,other external,15-17 yrs,1,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,6.498147964477539 +1994,11,0,internal,15-17 yrs,13,15389,16.005264282226562,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,84.475921630859375 +1994,11,0,all,18-20 yrs,103,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,594.13934326171875 +1994,11,0,MVA,18-20 yrs,12,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,69.220123291015625 +1994,11,0,suicide,18-20 yrs,0,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,0 +1994,11,0,homicide,18-20 yrs,77,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,444.1624450683594 +1994,11,0,other external,18-20 yrs,2,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,11.536686897277832 +1994,11,0,internal,18-20 yrs,12,17336,19.062990188598633,0,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,69.220123291015625 +1994,11,0,all,21-24 yrs,146,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,355.57720947265625 +1994,11,0,MVA,21-24 yrs,15,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,36.53190612792969 +1994,11,0,suicide,21-24 yrs,7,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,17.048221588134766 +1994,11,0,homicide,21-24 yrs,81,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,197.27227783203125 +1994,11,0,other external,21-24 yrs,4,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,9.741841316223145 +1994,11,0,internal,21-24 yrs,39,41060,22.714296340942383,1,0.06072874739766121,1.5,0.7400000095367432,1.5199999809265137,3.759999990463257,94.98294830322266 +1995,11,0,MVA,15-17 yrs,4,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,25.92520523071289 +1995,11,0,suicide,15-17 yrs,1,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,6.481301307678223 +1995,11,0,homicide,15-17 yrs,37,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,239.8081512451172 +1995,11,0,other external,15-17 yrs,0,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,0 +1995,11,0,internal,15-17 yrs,13,15429,15.991768836975098,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,84.25691986083984 +1995,11,0,all,18-20 yrs,95,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,565.07257080078125 +1995,11,0,MVA,18-20 yrs,6,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,35.68879318237305 +1995,11,0,suicide,18-20 yrs,3,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,17.844396591186523 +1995,11,0,homicide,18-20 yrs,71,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,422.3173828125 +1995,11,0,other external,18-20 yrs,0,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,0 +1995,11,0,internal,18-20 yrs,15,16812,19.046812057495117,0,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,89.22198486328125 +1995,11,0,all,21-24 yrs,125,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,356.50115966796875 +1995,11,0,MVA,21-24 yrs,10,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,28.520092010498047 +1995,11,0,suicide,21-24 yrs,2,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,5.704018592834473 +1995,11,0,homicide,21-24 yrs,82,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,233.86476135253906 +1995,11,0,other external,21-24 yrs,3,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,8.55602741241455 +1995,11,0,internal,21-24 yrs,28,35063,22.789037704467773,1,0.05905512347817421,1.5099999904632568,0.7200000286102295,1.5199999809265137,3.740000009536743,79.85626220703125 +1996,11,0,MVA,15-17 yrs,4,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,26.62584114074707 +1996,11,0,suicide,15-17 yrs,1,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,6.656460285186768 +1996,11,0,homicide,15-17 yrs,29,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,193.03733825683594 +1996,11,0,other external,15-17 yrs,2,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,13.312920570373535 +1996,11,0,internal,15-17 yrs,11,15023,16.029088973999023,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,73.22106170654297 +1996,11,0,all,18-20 yrs,82,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,492.49249267578125 +1996,11,0,MVA,18-20 yrs,2,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,12.012012481689453 +1996,11,0,suicide,18-20 yrs,2,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,12.012012481689453 +1996,11,0,homicide,18-20 yrs,65,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,390.390380859375 +1996,11,0,other external,18-20 yrs,0,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,0 +1996,11,0,internal,18-20 yrs,13,16650,19.031831741333008,0,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,78.07807922363281 +1996,11,0,all,21-24 yrs,130,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,445.9538269042969 +1996,11,0,MVA,21-24 yrs,8,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,27.44331169128418 +1996,11,0,suicide,21-24 yrs,1,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,3.4304139614105225 +1996,11,0,homicide,21-24 yrs,77,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,264.1418762207031 +1996,11,0,other external,21-24 yrs,4,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,13.72165584564209 +1996,11,0,internal,21-24 yrs,40,29151,22.712772369384766,1,0.057361382991075516,1.4199999570846558,0.7400000095367432,1.4700000286102295,3.630000114440918,137.21656799316406 +1970,12,0,MVA,15-17 yrs,150,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,41.71939468383789 +1970,12,0,suicide,15-17 yrs,19,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,5.284456729888916 +1970,12,0,homicide,15-17 yrs,36,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,10.012655258178711 +1970,12,0,other external,15-17 yrs,98,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,27.256671905517578 +1970,12,0,internal,15-17 yrs,105,359545,15.975886344909668,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,29.203577041625977 +1970,12,0,all,18-20 yrs,493,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,152.31280517578125 +1970,12,0,MVA,18-20 yrs,180,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,55.611167907714844 +1970,12,0,suicide,18-20 yrs,36,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,11.122233390808105 +1970,12,0,homicide,18-20 yrs,56,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,17.301252365112305 +1970,12,0,other external,18-20 yrs,113,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,34.91145324707031 +1970,12,0,internal,18-20 yrs,108,323676,18.98167610168457,0,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,33.36669921875 +1970,12,0,all,21-24 yrs,670,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,171.30731201171875 +1970,12,0,MVA,21-24 yrs,210,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,53.69333267211914 +1970,12,0,suicide,21-24 yrs,57,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,14.573904991149902 +1970,12,0,homicide,21-24 yrs,105,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,26.84666633605957 +1970,12,0,other external,21-24 yrs,133,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,34.00577926635742 +1970,12,0,internal,21-24 yrs,165,391110,22.42682647705078,1,0.8247422575950623,1.090000033378601,0.30000001192092896,1.5199999809265137,2.9000000953674316,42.187618255615234 +1971,12,0,MVA,15-17 yrs,180,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,46.575294494628906 +1971,12,0,suicide,15-17 yrs,14,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,3.6225228309631348 +1971,12,0,homicide,15-17 yrs,29,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,7.5037970542907715 +1971,12,0,other external,15-17 yrs,105,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,27.168920516967773 +1971,12,0,internal,15-17 yrs,107,386471,15.983964920043945,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,27.686424255371094 +1971,12,0,all,18-20 yrs,510,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,147.436767578125 +1971,12,0,MVA,18-20 yrs,214,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,61.865623474121094 +1971,12,0,suicide,18-20 yrs,34,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,9.829117774963379 +1971,12,0,homicide,18-20 yrs,52,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,15.032768249511719 +1971,12,0,other external,18-20 yrs,82,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,23.70551872253418 +1971,12,0,internal,18-20 yrs,128,345911,18.98926544189453,0,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,37.00373840332031 +1971,12,0,all,21-24 yrs,720,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,166.44320678710938 +1971,12,0,MVA,21-24 yrs,230,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,53.16935729980469 +1971,12,0,suicide,21-24 yrs,67,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,15.48846435546875 +1971,12,0,homicide,21-24 yrs,104,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,24.04179573059082 +1971,12,0,other external,21-24 yrs,139,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,32.13278579711914 +1971,12,0,internal,21-24 yrs,180,432580,22.530847549438477,1,0.790123462677002,1.1799999475479126,0.33000001311302185,1.5199999809265137,3.0299999713897705,41.610801696777344 +1972,12,0,MVA,15-17 yrs,198,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,48.26325225830078 +1972,12,0,suicide,15-17 yrs,32,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,7.800121784210205 +1972,12,0,homicide,15-17 yrs,30,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,7.312614440917969 +1972,12,0,other external,15-17 yrs,102,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,24.86288833618164 +1972,12,0,internal,15-17 yrs,120,410250,15.981915473937988,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,29.250457763671875 +1972,12,0,all,18-20 yrs,638,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,172.00845336914062 +1972,12,0,MVA,18-20 yrs,254,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,68.4798583984375 +1972,12,0,suicide,18-20 yrs,46,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,12.401863098144531 +1972,12,0,homicide,18-20 yrs,68,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,18.333189010620117 +1972,12,0,other external,18-20 yrs,144,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,38.82322311401367 +1972,12,0,internal,18-20 yrs,126,370912,18.988603591918945,0,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,33.97032165527344 +1972,12,0,all,21-24 yrs,796,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,176.58712768554688 +1972,12,0,MVA,21-24 yrs,262,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,58.12289810180664 +1972,12,0,suicide,21-24 yrs,66,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,14.641645431518555 +1972,12,0,homicide,21-24 yrs,114,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,25.290115356445312 +1972,12,0,other external,21-24 yrs,180,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,39.9317626953125 +1972,12,0,internal,21-24 yrs,174,450769,22.473665237426758,1,0.7655502557754517,1.25,0.33000001311302185,1.5199999809265137,3.0999999046325684,38.600704193115234 +1973,12,0.5041095614433289,MVA,15-17 yrs,236,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,54.13800048828125 +1973,12,0.5041095614433289,suicide,15-17 yrs,17,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,3.899771213531494 +1973,12,0.5041095614433289,homicide,15-17 yrs,58,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,13.305102348327637 +1973,12,0.5041095614433289,other external,15-17 yrs,126,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,28.90418815612793 +1973,12,0.5041095614433289,internal,15-17 yrs,111,435923,15.987630844116211,0,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,25.463212966918945 +1973,12,0.5041095614433289,all,18-20 yrs,672,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,169.4432373046875 +1973,12,0.5041095614433289,MVA,18-20 yrs,262,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,66.06269073486328 +1973,12,0.5041095614433289,suicide,18-20 yrs,57,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,14.372417449951172 +1973,12,0.5041095614433289,homicide,18-20 yrs,93,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,23.44973373413086 +1973,12,0.5041095614433289,other external,18-20 yrs,143,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,36.0571174621582 +1973,12,0.5041095614433289,internal,18-20 yrs,117,396593,18.984561920166016,0.5041095614433289,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,29.501277923583984 +1973,12,0.5041095614433289,all,21-24 yrs,849,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,177.54931640625 +1973,12,0.5041095614433289,MVA,21-24 yrs,270,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,56.464447021484375 +1973,12,0.5041095614433289,suicide,21-24 yrs,92,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,19.23973846435547 +1973,12,0.5041095614433289,homicide,21-24 yrs,140,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,29.277860641479492 +1973,12,0.5041095614433289,other external,21-24 yrs,171,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,35.76081848144531 +1973,12,0.5041095614433289,internal,21-24 yrs,176,478177,22.462060928344727,1,0.7207207083702087,1.3300000429153442,0.3400000035762787,1.559999942779541,3.240000009536743,36.806453704833984 +1974,12,1,MVA,15-17 yrs,180,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,39.323463439941406 +1974,12,1,suicide,15-17 yrs,21,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,4.587737083435059 +1974,12,1,homicide,15-17 yrs,46,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,10.049328804016113 +1974,12,1,other external,15-17 yrs,98,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,21.409440994262695 +1974,12,1,internal,15-17 yrs,111,457742,15.998842239379883,0,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,24.249467849731445 +1974,12,1,all,18-20 yrs,688,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,161.28048706054688 +1974,12,1,MVA,18-20 yrs,261,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,61.183441162109375 +1974,12,1,suicide,18-20 yrs,67,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,15.706094741821289 +1974,12,1,homicide,18-20 yrs,98,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,22.973093032836914 +1974,12,1,other external,18-20 yrs,122,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,28.599157333374023 +1974,12,1,internal,18-20 yrs,140,426586,18.9938907623291,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,32.81870651245117 +1974,12,1,all,21-24 yrs,842,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,164.88821411132812 +1974,12,1,MVA,21-24 yrs,216,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,42.29911422729492 +1974,12,1,suicide,21-24 yrs,110,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,21.541215896606445 +1974,12,1,homicide,21-24 yrs,165,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,32.31182098388672 +1974,12,1,other external,21-24 yrs,161,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,31.528505325317383 +1974,12,1,internal,21-24 yrs,190,510649,22.462873458862305,1,0.6490871906280518,1.3799999952316284,0.3199999928474426,1.5199999809265137,3.2200000286102295,37.20755386352539 +1975,12,1,MVA,15-17 yrs,166,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,35.680355072021484 +1975,12,1,suicide,15-17 yrs,30,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,6.448256969451904 +1975,12,1,homicide,15-17 yrs,38,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,8.167792320251465 +1975,12,1,other external,15-17 yrs,113,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,24.288434982299805 +1975,12,1,internal,15-17 yrs,113,465242,15.998342514038086,0,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,24.288434982299805 +1975,12,1,all,18-20 yrs,630,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,142.01983642578125 +1975,12,1,MVA,18-20 yrs,204,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,45.98737716674805 +1975,12,1,suicide,18-20 yrs,71,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,16.00541114807129 +1975,12,1,homicide,18-20 yrs,95,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,21.41568946838379 +1975,12,1,other external,18-20 yrs,122,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,27.502254486083984 +1975,12,1,internal,18-20 yrs,138,443600,18.991884231567383,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,31.109107971191406 +1975,12,1,all,21-24 yrs,831,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,155.38577270507812 +1975,12,1,MVA,21-24 yrs,218,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,40.76305389404297 +1975,12,1,suicide,21-24 yrs,120,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,22.438379287719727 +1975,12,1,homicide,21-24 yrs,148,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,27.673999786376953 +1975,12,1,other external,21-24 yrs,159,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,29.730852127075195 +1975,12,1,internal,21-24 yrs,186,534798,22.463848114013672,1,0.5947955250740051,1.3799999952316284,0.3400000035762787,1.4700000286102295,3.190000057220459,34.77948760986328 +1976,12,1,MVA,15-17 yrs,163,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.81462860107422 +1976,12,1,suicide,15-17 yrs,16,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,3.417386770248413 +1976,12,1,homicide,15-17 yrs,34,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,7.261947154998779 +1976,12,1,other external,15-17 yrs,67,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,14.310307502746582 +1976,12,1,internal,15-17 yrs,109,468194,15.996150970458984,0,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,23.280946731567383 +1976,12,1,all,18-20 yrs,550,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,121.31077575683594 +1976,12,1,MVA,18-20 yrs,223,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,49.186004638671875 +1976,12,1,suicide,18-20 yrs,55,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,12.131077766418457 +1976,12,1,homicide,18-20 yrs,68,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,14.998422622680664 +1976,12,1,other external,18-20 yrs,97,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,21.39480972290039 +1976,12,1,internal,18-20 yrs,107,453381,18.999210357666016,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,23.600460052490234 +1976,12,1,all,21-24 yrs,752,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,136.0111083984375 +1976,12,1,MVA,21-24 yrs,193,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.907108306884766 +1976,12,1,suicide,21-24 yrs,113,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,20.43783950805664 +1976,12,1,homicide,21-24 yrs,113,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,20.43783950805664 +1976,12,1,other external,21-24 yrs,142,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,25.68294906616211 +1976,12,1,internal,21-24 yrs,191,552896,22.461828231811523,1,0.562390148639679,1.350000023841858,0.36000001430511475,1.4600000381469727,3.1700000762939453,34.54537582397461 +1977,12,1,MVA,15-17 yrs,172,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,36.6216926574707 +1977,12,1,suicide,15-17 yrs,25,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,5.322920322418213 +1977,12,1,homicide,15-17 yrs,32,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,6.813337802886963 +1977,12,1,other external,15-17 yrs,80,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,17.033344268798828 +1977,12,1,internal,15-17 yrs,91,469667,16.002504348754883,0,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,19.375429153442383 +1977,12,1,all,18-20 yrs,598,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,129.7757110595703 +1977,12,1,MVA,18-20 yrs,253,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,54.90510940551758 +1977,12,1,suicide,18-20 yrs,67,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,14.540088653564453 +1977,12,1,homicide,18-20 yrs,60,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,13.020974159240723 +1977,12,1,other external,18-20 yrs,104,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,22.56968879699707 +1977,12,1,internal,18-20 yrs,114,460795,19.010950088500977,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,24.739850997924805 +1977,12,1,all,21-24 yrs,787,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,137.54100036621094 +1977,12,1,MVA,21-24 yrs,238,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,41.594356536865234 +1977,12,1,suicide,21-24 yrs,154,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,26.91399574279785 +1977,12,1,homicide,21-24 yrs,95,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,16.6027889251709 +1977,12,1,other external,21-24 yrs,141,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,24.64203453063965 +1977,12,1,internal,21-24 yrs,159,572193,22.464426040649414,1,0.6600660085678101,1.3300000429153442,0.33000001311302185,1.4700000286102295,3.130000114440918,27.787826538085938 +1978,12,1,MVA,15-17 yrs,182,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,38.62798309326172 +1978,12,1,suicide,15-17 yrs,28,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,5.942767143249512 +1978,12,1,homicide,15-17 yrs,40,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,8.489666938781738 +1978,12,1,other external,15-17 yrs,75,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,15.918126106262207 +1978,12,1,internal,15-17 yrs,87,471161,16.01017189025879,0,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,18.465024948120117 +1978,12,1,all,18-20 yrs,622,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,133.67115783691406 +1978,12,1,MVA,18-20 yrs,262,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,56.30521774291992 +1978,12,1,suicide,18-20 yrs,66,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,14.183756828308105 +1978,12,1,homicide,18-20 yrs,78,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,16.762622833251953 +1978,12,1,other external,18-20 yrs,107,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,22.9948787689209 +1978,12,1,internal,18-20 yrs,109,465321,19.01036834716797,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,23.42469024658203 +1978,12,1,all,21-24 yrs,848,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,142.4779052734375 +1978,12,1,MVA,21-24 yrs,269,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,45.1964111328125 +1978,12,1,suicide,21-24 yrs,118,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,19.82593536376953 +1978,12,1,homicide,21-24 yrs,120,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,20.161968231201172 +1978,12,1,other external,21-24 yrs,160,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,26.88262367248535 +1978,12,1,internal,21-24 yrs,181,595180,22.47039031982422,1,0.6134969592094421,1.409999966621399,0.3400000035762787,1.4800000190734863,3.2300000190734863,30.410968780517578 +1979,12,1,MVA,15-17 yrs,208,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,43.904178619384766 +1979,12,1,suicide,15-17 yrs,25,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,5.276944637298584 +1979,12,1,homicide,15-17 yrs,37,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,7.809877872467041 +1979,12,1,other external,15-17 yrs,69,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,14.564367294311523 +1979,12,1,internal,15-17 yrs,89,473759,16.00920867919922,0,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,18.78592300415039 +1979,12,1,all,18-20 yrs,741,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,155.44334411621094 +1979,12,1,MVA,18-20 yrs,348,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,73.0017318725586 +1979,12,1,suicide,18-20 yrs,71,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,14.89403247833252 +1979,12,1,homicide,18-20 yrs,106,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.236160278320312 +1979,12,1,other external,18-20 yrs,108,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.655710220336914 +1979,12,1,internal,18-20 yrs,108,476701,19.00863265991211,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,22.655710220336914 +1979,12,1,all,21-24 yrs,939,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,151.4389190673828 +1979,12,1,MVA,21-24 yrs,316,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,50.96346664428711 +1979,12,1,suicide,21-24 yrs,131,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,21.127260208129883 +1979,12,1,homicide,21-24 yrs,157,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,25.320457458496094 +1979,12,1,other external,21-24 yrs,162,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,26.126840591430664 +1979,12,1,internal,21-24 yrs,173,620052,22.47918701171875,1,0.5509642362594604,1.4700000286102295,0.3700000047683716,1.5099999904632568,3.3399999141693115,27.90088653564453 +1980,12,0.9191416501998901,MVA,15-17 yrs,222,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,46.004642486572266 +1980,12,0.9191416501998901,suicide,15-17 yrs,35,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,7.252984046936035 +1980,12,0.9191416501998901,homicide,15-17 yrs,53,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,10.9830904006958 +1980,12,0.9191416501998901,other external,15-17 yrs,66,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,13.677055358886719 +1980,12,0.9191416501998901,internal,15-17 yrs,89,482560,16.019208908081055,0,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,18.443302154541016 +1980,12,0.9191416501998901,all,18-20 yrs,805,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,161.54083251953125 +1980,12,0.9191416501998901,MVA,18-20 yrs,348,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,69.83380126953125 +1980,12,0.9191416501998901,suicide,18-20 yrs,84,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,16.856435775756836 +1980,12,0.9191416501998901,homicide,18-20 yrs,113,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,22.675918579101562 +1980,12,0.9191416501998901,other external,18-20 yrs,142,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,28.495403289794922 +1980,12,0.9191416501998901,internal,18-20 yrs,118,498326,19.009193420410156,0.9191416501998901,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,23.679277420043945 +1980,12,0.9191416501998901,all,21-24 yrs,1163,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,177.89674377441406 +1980,12,0.9191416501998901,MVA,21-24 yrs,395,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,60.420650482177734 +1980,12,0.9191416501998901,suicide,21-24 yrs,148,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,22.63862419128418 +1980,12,0.9191416501998901,homicide,21-24 yrs,226,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,34.56978988647461 +1980,12,0.9191416501998901,other external,21-24 yrs,193,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,29.521987915039062 +1980,12,0.9191416501998901,internal,21-24 yrs,201,653750,22.498876571655273,1,0.48543688654899597,1.4199999570846558,0.3700000047683716,1.4299999475479126,3.2200000286102295,30.745697021484375 +1981,12,0.6752321124076843,MVA,15-17 yrs,202,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,42.48499298095703 +1981,12,0.6752321124076843,suicide,15-17 yrs,28,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,5.88900899887085 +1981,12,0.6752321124076843,homicide,15-17 yrs,42,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,8.833513259887695 +1981,12,0.6752321124076843,other external,15-17 yrs,60,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,12.619304656982422 +1981,12,0.6752321124076843,internal,15-17 yrs,98,475462,16.041305541992188,0,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,20.61153221130371 +1981,12,0.6752321124076843,all,18-20 yrs,758,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,147.6376953125 +1981,12,0.6752321124076843,MVA,18-20 yrs,320,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,62.3272590637207 +1981,12,0.6752321124076843,suicide,18-20 yrs,90,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,17.529542922973633 +1981,12,0.6752321124076843,homicide,18-20 yrs,134,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,26.09954071044922 +1981,12,0.6752321124076843,other external,18-20 yrs,110,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,21.42499542236328 +1981,12,0.6752321124076843,internal,18-20 yrs,104,513419,19.013994216918945,0.6752321124076843,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,20.256359100341797 +1981,12,0.6752321124076843,all,21-24 yrs,1182,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,173.7251739501953 +1981,12,0.6752321124076843,MVA,21-24 yrs,412,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,60.553951263427734 +1981,12,0.6752321124076843,suicide,21-24 yrs,136,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,19.988683700561523 +1981,12,0.6752321124076843,homicide,21-24 yrs,210,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,30.864877700805664 +1981,12,0.6752321124076843,other external,21-24 yrs,180,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,26.455610275268555 +1981,12,0.6752321124076843,internal,21-24 yrs,244,680385,22.51418113708496,1,0.44004401564598083,1.5499999523162842,0.38999998569488525,1.3799999952316284,3.309999942779541,35.8620491027832 +1982,12,0.6758331656455994,MVA,15-17 yrs,174,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,37.818687438964844 +1982,12,0.6758331656455994,suicide,15-17 yrs,28,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,6.085765838623047 +1982,12,0.6758331656455994,homicide,15-17 yrs,30,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,6.520463466644287 +1982,12,0.6758331656455994,other external,15-17 yrs,52,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,11.302136421203613 +1982,12,0.6758331656455994,internal,15-17 yrs,98,460090,16.042226791381836,0,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,21.300180435180664 +1982,12,0.6758331656455994,all,18-20 yrs,694,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,133.6365509033203 +1982,12,0.6758331656455994,MVA,18-20 yrs,274,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,52.76140594482422 +1982,12,0.6758331656455994,suicide,18-20 yrs,80,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,15.404789924621582 +1982,12,0.6758331656455994,homicide,18-20 yrs,124,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.877424240112305 +1982,12,0.6758331656455994,other external,18-20 yrs,98,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,18.870866775512695 +1982,12,0.6758331656455994,internal,18-20 yrs,118,519319,19.011940002441406,0.6758331656455994,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,22.722064971923828 +1982,12,0.6758331656455994,all,21-24 yrs,974,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,140.0366973876953 +1982,12,0.6758331656455994,MVA,21-24 yrs,302,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,43.42000198364258 +1982,12,0.6758331656455994,suicide,21-24 yrs,162,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.291522979736328 +1982,12,0.6758331656455994,homicide,21-24 yrs,208,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,29.905166625976562 +1982,12,0.6758331656455994,other external,21-24 yrs,142,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,20.416027069091797 +1982,12,0.6758331656455994,internal,21-24 yrs,160,695532,22.507164001464844,1,0.41450777649879456,1.559999942779541,0.4000000059604645,1.3300000429153442,3.2899999618530273,23.00397300720215 +1983,12,0.6855270862579346,MVA,15-17 yrs,139,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,31.175006866455078 +1983,12,0.6855270862579346,suicide,15-17 yrs,19,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,4.261331558227539 +1983,12,0.6855270862579346,homicide,15-17 yrs,34,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,7.6255412101745605 +1983,12,0.6855270862579346,other external,15-17 yrs,61,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,13.68111801147461 +1983,12,0.6855270862579346,internal,15-17 yrs,83,445870,16.032901763916016,0,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,18.615291595458984 +1983,12,0.6855270862579346,all,18-20 yrs,606,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,115.91320037841797 +1983,12,0.6855270862579346,MVA,18-20 yrs,279,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,53.3659782409668 +1983,12,0.6855270862579346,suicide,18-20 yrs,69,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,13.198037147521973 +1983,12,0.6855270862579346,homicide,18-20 yrs,85,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,16.258451461791992 +1983,12,0.6855270862579346,other external,18-20 yrs,65,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,12.432933807373047 +1983,12,0.6855270862579346,internal,18-20 yrs,108,522805,19.02863311767578,0.6855270862579346,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,20.657798767089844 +1983,12,0.6855270862579346,all,21-24 yrs,944,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,132.65972900390625 +1983,12,0.6855270862579346,MVA,21-24 yrs,330,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,46.37469482421875 +1983,12,0.6855270862579346,suicide,21-24 yrs,118,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,16.58246612548828 +1983,12,0.6855270862579346,homicide,21-24 yrs,165,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,23.187347412109375 +1983,12,0.6855270862579346,other external,21-24 yrs,151,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,21.21993637084961 +1983,12,0.6855270862579346,internal,21-24 yrs,180,711595,22.5087947845459,1,0.6425702571868896,1.559999942779541,0.4000000059604645,1.2300000190734863,3.190000057220459,25.2952880859375 +1984,12,0.6951020956039429,MVA,15-17 yrs,163,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,36.62411117553711 +1984,12,0.6951020956039429,suicide,15-17 yrs,24,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,5.392507076263428 +1984,12,0.6951020956039429,homicide,15-17 yrs,32,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,7.190009593963623 +1984,12,0.6951020956039429,other external,15-17 yrs,47,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,10.56032657623291 +1984,12,0.6951020956039429,internal,15-17 yrs,64,445062,16.017274856567383,0,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,14.380019187927246 +1984,12,0.6951020956039429,all,18-20 yrs,608,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,118.58647918701172 +1984,12,0.6951020956039429,MVA,18-20 yrs,271,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,52.85680389404297 +1984,12,0.6951020956039429,suicide,18-20 yrs,85,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.578702926635742 +1984,12,0.6951020956039429,homicide,18-20 yrs,85,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.578702926635742 +1984,12,0.6951020956039429,other external,18-20 yrs,61,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,11.897656440734863 +1984,12,0.6951020956039429,internal,18-20 yrs,106,512706,19.049089431762695,0.6951020956039429,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,20.67461585998535 +1984,12,0.6951020956039429,all,21-24 yrs,1009,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,138.64002990722656 +1984,12,0.6951020956039429,MVA,21-24 yrs,355,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,48.7782096862793 +1984,12,0.6951020956039429,suicide,21-24 yrs,147,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,20.198301315307617 +1984,12,0.6951020956039429,homicide,21-24 yrs,170,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,23.358579635620117 +1984,12,0.6951020956039429,other external,21-24 yrs,118,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,16.21360206604004 +1984,12,0.6951020956039429,internal,21-24 yrs,219,727784,22.512351989746094,1,0.615976870059967,1.4800000190734863,0.4000000059604645,1.2400000095367432,3.119999885559082,30.091344833374023 +1985,12,0.6483528017997742,MVA,15-17 yrs,149,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,32.769866943359375 +1985,12,0.6483528017997742,suicide,15-17 yrs,39,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,8.577347755432129 +1985,12,0.6483528017997742,homicide,15-17 yrs,36,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,7.9175519943237305 +1985,12,0.6483528017997742,other external,15-17 yrs,38,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,8.357416152954102 +1985,12,0.6483528017997742,internal,15-17 yrs,80,454686,15.998745918273926,0,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,17.594560623168945 +1985,12,0.6483528017997742,all,18-20 yrs,573,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,115.22266387939453 +1985,12,0.6483528017997742,MVA,18-20 yrs,262,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,52.68470764160156 +1985,12,0.6483528017997742,suicide,18-20 yrs,62,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,12.467373847961426 +1985,12,0.6483528017997742,homicide,18-20 yrs,81,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,16.288021087646484 +1985,12,0.6483528017997742,other external,18-20 yrs,57,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,11.46194076538086 +1985,12,0.6483528017997742,internal,18-20 yrs,111,497298,19.047414779663086,0.6483528017997742,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,22.320621490478516 +1985,12,0.6483528017997742,all,21-24 yrs,999,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,134.61669921875 +1985,12,0.6483528017997742,MVA,21-24 yrs,357,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,48.10626983642578 +1985,12,0.6483528017997742,suicide,21-24 yrs,137,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,18.460948944091797 +1985,12,0.6483528017997742,homicide,21-24 yrs,160,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,21.56023406982422 +1985,12,0.6483528017997742,other external,21-24 yrs,118,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,15.90067195892334 +1985,12,0.6483528017997742,internal,21-24 yrs,227,742107,22.52031707763672,1,0.5947955250740051,1.4700000286102295,0.4099999964237213,1.159999966621399,3.0399999618530273,30.588581085205078 +1986,12,0.346679151058197,MVA,15-17 yrs,174,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,36.637210845947266 +1986,12,0.346679151058197,suicide,15-17 yrs,48,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,10.106816291809082 +1986,12,0.346679151058197,homicide,15-17 yrs,45,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,9.475140571594238 +1986,12,0.346679151058197,other external,15-17 yrs,51,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,10.738492012023926 +1986,12,0.346679151058197,internal,15-17 yrs,79,474927,15.995079040527344,0,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,16.634136199951172 +1986,12,0.346679151058197,all,18-20 yrs,606,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,125.41313171386719 +1986,12,0.346679151058197,MVA,18-20 yrs,273,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,56.49799346923828 +1986,12,0.346679151058197,suicide,18-20 yrs,56,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,11.58933162689209 +1986,12,0.346679151058197,homicide,18-20 yrs,95,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,19.66047477722168 +1986,12,0.346679151058197,other external,18-20 yrs,62,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,12.831046104431152 +1986,12,0.346679151058197,internal,18-20 yrs,120,483203,19.037212371826172,0.346679151058197,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,24.83428382873535 +1986,12,0.346679151058197,all,21-24 yrs,1044,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,139.79197692871094 +1986,12,0.346679151058197,MVA,21-24 yrs,362,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,48.471927642822266 +1986,12,0.346679151058197,suicide,21-24 yrs,129,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,17.27314567565918 +1986,12,0.346679151058197,homicide,21-24 yrs,183,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,24.503765106201172 +1986,12,0.346679151058197,other external,21-24 yrs,130,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,17.407047271728516 +1986,12,0.346679151058197,internal,21-24 yrs,240,746824,22.53330421447754,1,0.5839415788650513,1.5,0.4099999964237213,1.0499999523162842,2.9600000381469727,32.136085510253906 +1987,12,0.0424189418554306,MVA,15-17 yrs,168,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,34.841400146484375 +1987,12,0.0424189418554306,suicide,15-17 yrs,35,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,7.258625030517578 +1987,12,0.0424189418554306,homicide,15-17 yrs,54,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.199021339416504 +1987,12,0.0424189418554306,other external,15-17 yrs,55,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.406410217285156 +1987,12,0.0424189418554306,internal,15-17 yrs,68,482185,16.02831268310547,0,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,14.102471351623535 +1987,12,0.0424189418554306,all,18-20 yrs,588,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,121.46878051757812 +1987,12,0.0424189418554306,MVA,18-20 yrs,235,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,48.54619598388672 +1987,12,0.0424189418554306,suicide,18-20 yrs,58,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,11.981614112854004 +1987,12,0.0424189418554306,homicide,18-20 yrs,117,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,24.169809341430664 +1987,12,0.0424189418554306,other external,18-20 yrs,69,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,14.253989219665527 +1987,12,0.0424189418554306,internal,18-20 yrs,109,484075,19.01919937133789,0.0424189418554306,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,22.51717185974121 +1987,12,0.0424189418554306,all,21-24 yrs,1016,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,136.94955444335938 +1987,12,0.0424189418554306,MVA,21-24 yrs,338,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,45.55998992919922 +1987,12,0.0424189418554306,suicide,21-24 yrs,132,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,17.792659759521484 +1987,12,0.0424189418554306,homicide,21-24 yrs,207,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,27.902124404907227 +1987,12,0.0424189418554306,other external,21-24 yrs,114,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,15.366387367248535 +1987,12,0.0424189418554306,internal,21-24 yrs,225,741879,22.564043045043945,1,0.5633803009986877,1.5099999904632568,0.41999998688697815,1.0299999713897705,2.950000047683716,30.32839584350586 +1988,12,0,MVA,15-17 yrs,194,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,40.74996566772461 +1988,12,0,suicide,15-17 yrs,51,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,10.712620735168457 +1988,12,0,homicide,15-17 yrs,74,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,15.543802261352539 +1988,12,0,other external,15-17 yrs,47,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,9.872414588928223 +1988,12,0,internal,15-17 yrs,93,476074,16.05687141418457,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,19.534778594970703 +1988,12,0,all,18-20 yrs,661,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,133.97354125976562 +1988,12,0,MVA,18-20 yrs,286,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,57.96737289428711 +1988,12,0,suicide,18-20 yrs,69,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,13.985135078430176 +1988,12,0,homicide,18-20 yrs,148,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,29.997100830078125 +1988,12,0,other external,18-20 yrs,56,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,11.350255012512207 +1988,12,0,internal,18-20 yrs,102,493381,18.998674392700195,0,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,20.673677444458008 +1988,12,0,all,21-24 yrs,1067,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,147.16896057128906 +1988,12,0,MVA,21-24 yrs,381,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,52.55049133300781 +1988,12,0,suicide,21-24 yrs,112,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,15.44791316986084 +1988,12,0,homicide,21-24 yrs,221,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,30.482044219970703 +1988,12,0,other external,21-24 yrs,100,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,13.792779922485352 +1988,12,0,internal,21-24 yrs,253,725017,22.578977584838867,1,0.5409974455833435,1.5099999904632568,0.4099999964237213,1,2.9200000762939453,34.89573287963867 +1989,12,0,MVA,15-17 yrs,134,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,29.250808715820312 +1989,12,0,suicide,15-17 yrs,39,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,8.51329517364502 +1989,12,0,homicide,15-17 yrs,53,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,11.56934928894043 +1989,12,0,other external,15-17 yrs,58,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.660797119140625 +1989,12,0,internal,15-17 yrs,78,458107,16.041872024536133,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,17.02659034729004 +1989,12,0,all,18-20 yrs,634,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,122.99765014648438 +1989,12,0,MVA,18-20 yrs,237,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,45.97861862182617 +1989,12,0,suicide,18-20 yrs,78,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,15.132203102111816 +1989,12,0,homicide,18-20 yrs,133,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,25.80234718322754 +1989,12,0,other external,18-20 yrs,66,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.804171562194824 +1989,12,0,internal,18-20 yrs,120,515457,18.998247146606445,0,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,23.280311584472656 +1989,12,0,all,21-24 yrs,979,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,138.3878631591797 +1989,12,0,MVA,21-24 yrs,345,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,48.76793670654297 +1989,12,0,suicide,21-24 yrs,121,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,17.10411834716797 +1989,12,0,homicide,21-24 yrs,201,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,28.41262435913086 +1989,12,0,other external,21-24 yrs,88,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,12.43935775756836 +1989,12,0,internal,21-24 yrs,224,707432,22.572546005249023,1,0.5161290168762207,1.5099999904632568,0.38999998569488525,1,2.9000000953674316,31.663820266723633 +1990,12,0,MVA,15-17 yrs,138,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,29.732921600341797 +1990,12,0,suicide,15-17 yrs,40,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,8.618237495422363 +1990,12,0,homicide,15-17 yrs,56,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,12.065532684326172 +1990,12,0,other external,15-17 yrs,41,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,8.833693504333496 +1990,12,0,internal,15-17 yrs,74,464132,16.00023651123047,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,15.943739891052246 +1990,12,0,all,18-20 yrs,609,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,117.04605865478516 +1990,12,0,MVA,18-20 yrs,231,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,44.39678192138672 +1990,12,0,suicide,18-20 yrs,71,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,13.645763397216797 +1990,12,0,homicide,18-20 yrs,144,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,27.675914764404297 +1990,12,0,other external,18-20 yrs,55,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,10.570661544799805 +1990,12,0,internal,18-20 yrs,108,520308,19.033363342285156,0,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,20.75693702697754 +1990,12,0,all,21-24 yrs,895,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,129.4267120361328 +1990,12,0,MVA,21-24 yrs,278,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,40.201820373535156 +1990,12,0,suicide,21-24 yrs,104,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,15.039529800415039 +1990,12,0,homicide,21-24 yrs,216,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,31.235944747924805 +1990,12,0,other external,21-24 yrs,84,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,12.14731216430664 +1990,12,0,internal,21-24 yrs,213,691511,22.53966522216797,1,0.489670991897583,1.5399999618530273,0.38999998569488525,1.0399999618530273,2.9600000381469727,30.802112579345703 +1991,12,0,MVA,15-17 yrs,112,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,24.29206085205078 +1991,12,0,suicide,15-17 yrs,43,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.326416015625 +1991,12,0,homicide,15-17 yrs,66,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,14.314964294433594 +1991,12,0,other external,15-17 yrs,45,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.760202407836914 +1991,12,0,internal,15-17 yrs,73,461056,16.005672454833984,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,15.83321762084961 +1991,12,0,all,18-20 yrs,550,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,107.6746597290039 +1991,12,0,MVA,18-20 yrs,210,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,41.11214065551758 +1991,12,0,suicide,18-20 yrs,65,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,12.725187301635742 +1991,12,0,homicide,18-20 yrs,117,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,22.905336380004883 +1991,12,0,other external,18-20 yrs,48,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,9.397061347961426 +1991,12,0,internal,18-20 yrs,110,510798,19.052860260009766,0,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,21.534931182861328 +1991,12,0,all,21-24 yrs,859,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,124.41305541992188 +1991,12,0,MVA,21-24 yrs,268,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,38.81571578979492 +1991,12,0,suicide,21-24 yrs,125,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,18.104345321655273 +1991,12,0,homicide,21-24 yrs,150,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,21.7252140045166 +1991,12,0,other external,21-24 yrs,76,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,11.007441520690918 +1991,12,0,internal,21-24 yrs,240,690442,22.502151489257812,1,0.46989721059799194,1.4299999475479126,0.3400000035762787,0.9200000166893005,2.690000057220459,34.76034164428711 +1992,12,0,MVA,15-17 yrs,113,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,24.046594619750977 +1992,12,0,suicide,15-17 yrs,40,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,8.512068748474121 +1992,12,0,homicide,15-17 yrs,54,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,11.491292953491211 +1992,12,0,other external,15-17 yrs,32,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,6.80965518951416 +1992,12,0,internal,15-17 yrs,66,469921,15.995871543884277,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,14.044914245605469 +1992,12,0,all,18-20 yrs,494,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,100.14271545410156 +1992,12,0,MVA,18-20 yrs,181,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,36.69196701049805 +1992,12,0,suicide,18-20 yrs,58,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,11.757646560668945 +1992,12,0,homicide,18-20 yrs,127,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,25.74519157409668 +1992,12,0,other external,18-20 yrs,40,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,8.108721733093262 +1992,12,0,internal,18-20 yrs,88,493296,19.04254722595215,0,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,17.839187622070312 +1992,12,0,all,21-24 yrs,721,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,103.48297119140625 +1992,12,0,MVA,21-24 yrs,183,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,26.26544189453125 +1992,12,0,suicide,21-24 yrs,86,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,12.34332275390625 +1992,12,0,homicide,21-24 yrs,173,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,24.830171585083008 +1992,12,0,other external,21-24 yrs,70,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,10.046890258789062 +1992,12,0,internal,21-24 yrs,209,696733,22.475156784057617,1,0.4561653435230255,1.4500000476837158,0.3400000035762787,0.9599999785423279,2.75,29.99714469909668 +1993,12,0,MVA,15-17 yrs,106,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,22.071516036987305 +1993,12,0,suicide,15-17 yrs,52,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,10.827535629272461 +1993,12,0,homicide,15-17 yrs,57,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,11.868645668029785 +1993,12,0,other external,15-17 yrs,44,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,9.161761283874512 +1993,12,0,internal,15-17 yrs,86,480257,15.980439186096191,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,17.907079696655273 +1993,12,0,all,18-20 yrs,527,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,108.67974090576172 +1993,12,0,MVA,18-20 yrs,195,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,40.213565826416016 +1993,12,0,suicide,18-20 yrs,64,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,13.198298454284668 +1993,12,0,homicide,18-20 yrs,117,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,24.12813949584961 +1993,12,0,other external,18-20 yrs,51,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,10.517394065856934 +1993,12,0,internal,18-20 yrs,100,484911,19.02215576171875,0,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,20.62234115600586 +1993,12,0,all,21-24 yrs,846,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,121.61707305908203 +1993,12,0,MVA,21-24 yrs,258,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,37.08889389038086 +1993,12,0,suicide,21-24 yrs,129,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,18.54444694519043 +1993,12,0,homicide,21-24 yrs,163,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,23.432130813598633 +1993,12,0,other external,21-24 yrs,77,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,11.06916618347168 +1993,12,0,internal,21-24 yrs,219,695626,22.50128173828125,1,0.44290655851364136,1.440000057220459,0.33000001311302185,0.9200000166893005,2.680000066757202,31.48243522644043 +1994,12,0,MVA,15-17 yrs,150,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,30.103435516357422 +1994,12,0,suicide,15-17 yrs,40,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,8.027583122253418 +1994,12,0,homicide,15-17 yrs,67,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,13.44620132446289 +1994,12,0,other external,15-17 yrs,36,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,7.22482442855835 +1994,12,0,internal,15-17 yrs,66,498282,15.984410285949707,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,13.245512008666992 +1994,12,0,all,18-20 yrs,551,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,113.9981918334961 +1994,12,0,MVA,18-20 yrs,205,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,42.41312026977539 +1994,12,0,suicide,18-20 yrs,68,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,14.068742752075195 +1994,12,0,homicide,18-20 yrs,115,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,23.792726516723633 +1994,12,0,other external,18-20 yrs,44,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,9.103303909301758 +1994,12,0,internal,18-20 yrs,119,483341,19.02227210998535,0,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,24.620298385620117 +1994,12,0,all,21-24 yrs,873,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,126.26025390625 +1994,12,0,MVA,21-24 yrs,254,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,36.73551559448242 +1994,12,0,suicide,21-24 yrs,104,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,15.041313171386719 +1994,12,0,homicide,21-24 yrs,190,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,27.47932243347168 +1994,12,0,other external,21-24 yrs,67,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,9.69007682800293 +1994,12,0,internal,21-24 yrs,258,691429,22.538429260253906,1,0.4318488538265228,1.399999976158142,0.33000001311302185,0.8700000047683716,2.5999999046325684,37.31402587890625 +1995,12,0,MVA,15-17 yrs,129,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,24.97454071044922 +1995,12,0,suicide,15-17 yrs,30,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,5.808032989501953 +1995,12,0,homicide,15-17 yrs,55,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,10.648059844970703 +1995,12,0,other external,15-17 yrs,36,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,6.969639301300049 +1995,12,0,internal,15-17 yrs,77,516526,15.97201919555664,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,14.9072847366333 +1995,12,0,all,18-20 yrs,551,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,111.927490234375 +1995,12,0,MVA,18-20 yrs,216,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,43.877201080322266 +1995,12,0,suicide,18-20 yrs,69,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,14.016327857971191 +1995,12,0,homicide,18-20 yrs,93,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,18.891572952270508 +1995,12,0,other external,18-20 yrs,65,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,13.203786849975586 +1995,12,0,internal,18-20 yrs,108,492283,19.013404846191406,0,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,21.938600540161133 +1995,12,0,all,21-24 yrs,880,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,129.7028350830078 +1995,12,0,MVA,21-24 yrs,251,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,36.99478530883789 +1995,12,0,suicide,21-24 yrs,127,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,18.718477249145508 +1995,12,0,homicide,21-24 yrs,158,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,23.287553787231445 +1995,12,0,other external,21-24 yrs,71,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,10.46466064453125 +1995,12,0,internal,21-24 yrs,273,678474,22.550514221191406,1,0.4199475049972534,1.340000033378601,0.3499999940395355,0.8199999928474426,2.5,40.23735427856445 +1996,12,0,MVA,15-17 yrs,134,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,25.019838333129883 +1996,12,0,suicide,15-17 yrs,35,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,6.535032272338867 +1996,12,0,homicide,15-17 yrs,47,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,8.775614738464355 +1996,12,0,other external,15-17 yrs,35,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,6.535032272338867 +1996,12,0,internal,15-17 yrs,78,535575,15.976797103881836,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,14.563786506652832 +1996,12,0,all,18-20 yrs,502,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,100.08293914794922 +1996,12,0,MVA,18-20 yrs,172,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.29136657714844 +1996,12,0,suicide,18-20 yrs,58,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,11.563366889953613 +1996,12,0,homicide,18-20 yrs,112,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,22.329261779785156 +1996,12,0,other external,18-20 yrs,61,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,12.16147232055664 +1996,12,0,internal,18-20 yrs,99,501584,19.00335121154785,0,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,19.737472534179688 +1996,12,0,all,21-24 yrs,821,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,123.01431274414062 +1996,12,0,MVA,21-24 yrs,230,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.46198654174805 +1996,12,0,suicide,21-24 yrs,127,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,19.029010772705078 +1996,12,0,homicide,21-24 yrs,142,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,21.276531219482422 +1996,12,0,other external,21-24 yrs,90,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,13.485125541687012 +1996,12,0,internal,21-24 yrs,232,667402,22.52178955078125,1,0.40790313482284546,1.3600000143051147,0.3700000047683716,0.8100000023841858,2.5399999618530273,34.76165771484375 +1970,13,0,MVA,15-17 yrs,133,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,48.96276092529297 +1970,13,0,suicide,15-17 yrs,10,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,3.681410789489746 +1970,13,0,homicide,15-17 yrs,29,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,10.676091194152832 +1970,13,0,other external,15-17 yrs,70,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,25.769874572753906 +1970,13,0,internal,15-17 yrs,92,271635,15.980168342590332,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,33.868980407714844 +1970,13,0,all,18-20 yrs,458,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,176.06784057617188 +1970,13,0,MVA,18-20 yrs,200,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,76.8855209350586 +1970,13,0,suicide,18-20 yrs,17,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,6.535269260406494 +1970,13,0,homicide,18-20 yrs,63,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,24.21893882751465 +1970,13,0,other external,18-20 yrs,66,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,25.372222900390625 +1970,13,0,internal,18-20 yrs,112,260127,19.00575065612793,0,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,43.05589294433594 +1970,13,0,all,21-24 yrs,598,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,182.12939453125 +1970,13,0,MVA,21-24 yrs,216,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,65.7858657836914 +1970,13,0,suicide,21-24 yrs,36,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,10.964311599731445 +1970,13,0,homicide,21-24 yrs,112,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,34.11119079589844 +1970,13,0,other external,21-24 yrs,88,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,26.80164909362793 +1970,13,0,internal,21-24 yrs,146,328338,22.426429748535156,1,0.8313934206962585,0.7900000214576721,0.14000000059604645,1.0199999809265137,1.9500000476837158,44.466373443603516 +1971,13,0,MVA,15-17 yrs,134,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,47.253814697265625 +1971,13,0,suicide,15-17 yrs,12,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,4.231684684753418 +1971,13,0,homicide,15-17 yrs,30,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,10.579212188720703 +1971,13,0,other external,15-17 yrs,67,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,23.626907348632812 +1971,13,0,internal,15-17 yrs,79,283575,15.987030029296875,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,27.858591079711914 +1971,13,0,all,18-20 yrs,471,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,174.7162322998047 +1971,13,0,MVA,18-20 yrs,215,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,79.753692626953125 +1971,13,0,suicide,18-20 yrs,24,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,8.902737617492676 +1971,13,0,homicide,18-20 yrs,67,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,24.85347557067871 +1971,13,0,other external,18-20 yrs,66,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,24.482528686523438 +1971,13,0,internal,18-20 yrs,99,269580,18.984445571899414,0,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,36.723793029785156 +1971,13,0,all,21-24 yrs,657,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,188.7047119140625 +1971,13,0,MVA,21-24 yrs,257,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,73.81600189208984 +1971,13,0,suicide,21-24 yrs,44,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,12.6377592086792 +1971,13,0,homicide,21-24 yrs,118,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,33.89216995239258 +1971,13,0,other external,21-24 yrs,94,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,26.99884796142578 +1971,13,0,internal,21-24 yrs,144,348163,22.54509735107422,1,0.7964953780174255,0.8600000143051147,0.11999999731779099,1.0800000429153442,2.069999933242798,41.35993957519531 +1972,13,0.5041095614433289,MVA,15-17 yrs,154,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,52.55936813354492 +1972,13,0.5041095614433289,suicide,15-17 yrs,18,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,6.143302917480469 +1972,13,0.5041095614433289,homicide,15-17 yrs,24,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,8.191070556640625 +1972,13,0.5041095614433289,other external,15-17 yrs,68,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,23.208032608032227 +1972,13,0.5041095614433289,internal,15-17 yrs,48,293002,15.985467910766602,0,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,16.38214111328125 +1972,13,0.5041095614433289,all,18-20 yrs,538,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,191.9974822998047 +1972,13,0.5041095614433289,MVA,18-20 yrs,238,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,84.9356918334961 +1972,13,0.5041095614433289,suicide,18-20 yrs,26,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,9.27868938446045 +1972,13,0.5041095614433289,homicide,18-20 yrs,72,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,25.69483184814453 +1972,13,0.5041095614433289,other external,18-20 yrs,96,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,34.25977325439453 +1972,13,0.5041095614433289,internal,18-20 yrs,106,280212,18.983959197998047,0.5041095614433289,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,37.8285026550293 +1972,13,0.5041095614433289,all,21-24 yrs,658,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,193.50778198242188 +1972,13,0.5041095614433289,MVA,21-24 yrs,234,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,68.81584167480469 +1972,13,0.5041095614433289,suicide,21-24 yrs,58,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,17.056917190551758 +1972,13,0.5041095614433289,homicide,21-24 yrs,136,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,39.99552917480469 +1972,13,0.5041095614433289,other external,21-24 yrs,70,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,20.585933685302734 +1972,13,0.5041095614433289,internal,21-24 yrs,160,340038,22.508825302124023,1,0.7717240452766418,0.8999999761581421,0.1599999964237213,1.1200000047683716,2.180000066757202,47.053565979003906 +1973,13,1,MVA,15-17 yrs,146,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,48.6802978515625 +1973,13,1,suicide,15-17 yrs,8,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,2.6674134731292725 +1973,13,1,homicide,15-17 yrs,38,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,12.670214653015137 +1973,13,1,other external,15-17 yrs,74,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,24.673574447631836 +1973,13,1,internal,15-17 yrs,64,299916,15.992610931396484,0,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,21.33930778503418 +1973,13,1,all,18-20 yrs,450,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,154.26544189453125 +1973,13,1,MVA,18-20 yrs,164,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,56.22118377685547 +1973,13,1,suicide,18-20 yrs,38,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,13.026859283447266 +1973,13,1,homicide,18-20 yrs,76,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,26.05371856689453 +1973,13,1,other external,18-20 yrs,87,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,29.82465171813965 +1973,13,1,internal,18-20 yrs,85,291705,18.988786697387695,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,29.139026641845703 +1973,13,1,all,21-24 yrs,624,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,181.0390625 +1973,13,1,MVA,21-24 yrs,218,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,63.24761962890625 +1973,13,1,suicide,21-24 yrs,55,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,15.956968307495117 +1973,13,1,homicide,21-24 yrs,127,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,36.846092224121094 +1973,13,1,other external,21-24 yrs,93,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,26.981782913208008 +1973,13,1,internal,21-24 yrs,131,344677,22.487436294555664,1,0.7265329360961914,0.9300000071525574,0.1599999964237213,1.0199999809265137,2.109999895095825,38.006595611572266 +1974,13,1,MVA,15-17 yrs,142,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,46.47068405151367 +1974,13,1,suicide,15-17 yrs,22,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,7.19968318939209 +1974,13,1,homicide,15-17 yrs,30,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,9.817749977111816 +1974,13,1,other external,15-17 yrs,80,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,26.180665969848633 +1974,13,1,internal,15-17 yrs,79,305569,15.999561309814453,0,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,25.853408813476562 +1974,13,1,all,18-20 yrs,482,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,160.65220642089844 +1974,13,1,MVA,18-20 yrs,193,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,64.327545166015625 +1974,13,1,suicide,18-20 yrs,40,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,13.332133293151855 +1974,13,1,homicide,18-20 yrs,69,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,22.9979305267334 +1974,13,1,other external,18-20 yrs,76,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,25.331052780151367 +1974,13,1,internal,18-20 yrs,104,300027,18.99297332763672,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,34.66354751586914 +1974,13,1,all,21-24 yrs,601,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,170.40074157714844 +1974,13,1,MVA,21-24 yrs,181,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,51.31869125366211 +1974,13,1,suicide,21-24 yrs,56,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,15.877606391906738 +1974,13,1,homicide,21-24 yrs,129,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,36.575199127197266 +1974,13,1,other external,21-24 yrs,95,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,26.935224533081055 +1974,13,1,internal,21-24 yrs,140,352698,22.467164993286133,1,0.6543217897415161,0.9900000095367432,0.15000000596046448,1.090000033378601,2.2300000190734863,39.69401550292969 +1975,13,1,MVA,15-17 yrs,96,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,31.267913818359375 +1975,13,1,suicide,15-17 yrs,20,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,6.514148712158203 +1975,13,1,homicide,15-17 yrs,23,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,7.491271018981934 +1975,13,1,other external,15-17 yrs,73,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,23.776643753051758 +1975,13,1,internal,15-17 yrs,66,307024,15.997355461120605,0,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,21.49669075012207 +1975,13,1,all,18-20 yrs,400,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,130.31777954101562 +1975,13,1,MVA,18-20 yrs,167,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,54.40767288208008 +1975,13,1,suicide,18-20 yrs,28,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,9.122244834899902 +1975,13,1,homicide,18-20 yrs,51,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,16.615516662597656 +1975,13,1,other external,18-20 yrs,64,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,20.850845336914062 +1975,13,1,internal,18-20 yrs,90,306942,18.990034103393555,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,29.321500778198242 +1975,13,1,all,21-24 yrs,559,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,153.8397979736328 +1975,13,1,MVA,21-24 yrs,157,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,43.207244873046875 +1975,13,1,suicide,21-24 yrs,83,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,22.8420467376709 +1975,13,1,homicide,21-24 yrs,104,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,28.62135887145996 +1975,13,1,other external,21-24 yrs,81,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,22.291635513305664 +1975,13,1,internal,21-24 yrs,134,363365,22.45606803894043,1,0.5995922684669495,0.9700000286102295,0.17000000178813934,1.159999966621399,2.299999952316284,36.87752151489258 +1976,13,1,MVA,15-17 yrs,100,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,32.32950210571289 +1976,13,1,suicide,15-17 yrs,19,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,6.142605304718018 +1976,13,1,homicide,15-17 yrs,23,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,7.435785293579102 +1976,13,1,other external,15-17 yrs,63,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,20.367586135864258 +1976,13,1,internal,15-17 yrs,57,309315,15.998709678649902,0,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,18.42781639099121 +1976,13,1,all,18-20 yrs,395,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,125.9373550415039 +1976,13,1,MVA,18-20 yrs,165,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,52.60674285888672 +1976,13,1,suicide,18-20 yrs,27,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,8.608376502990723 +1976,13,1,homicide,18-20 yrs,57,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,18.17323875427246 +1976,13,1,other external,18-20 yrs,67,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,21.361526489257812 +1976,13,1,internal,18-20 yrs,79,313648,18.996870040893555,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,25.187471389770508 +1976,13,1,all,21-24 yrs,492,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,130.1304931640625 +1976,13,1,MVA,21-24 yrs,149,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,39.40943908691406 +1976,13,1,suicide,21-24 yrs,65,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,17.19203758239746 +1976,13,1,homicide,21-24 yrs,88,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,23.275373458862305 +1976,13,1,other external,21-24 yrs,80,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,21.15943145751953 +1976,13,1,internal,21-24 yrs,110,378082,22.461870193481445,1,0.5669255256652832,0.9900000095367432,0.18000000715255737,1.2300000190734863,2.390000104904175,29.09421730041504 +1977,13,1,MVA,15-17 yrs,146,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,46.85569381713867 +1977,13,1,suicide,15-17 yrs,33,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,10.590670585632324 +1977,13,1,homicide,15-17 yrs,13,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,4.172082424163818 +1977,13,1,other external,15-17 yrs,67,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,21.502269744873047 +1977,13,1,internal,15-17 yrs,74,311595,16.001480102539062,0,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,23.748777389526367 +1977,13,1,all,18-20 yrs,431,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,135.65061950683594 +1977,13,1,MVA,18-20 yrs,189,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,59.48484420776367 +1977,13,1,suicide,18-20 yrs,34,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,10.700977325439453 +1977,13,1,homicide,18-20 yrs,49,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,15.421996116638184 +1977,13,1,other external,18-20 yrs,72,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,22.660892486572266 +1977,13,1,internal,18-20 yrs,87,317728,19.002586364746094,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,27.381912231445312 +1977,13,1,all,21-24 yrs,536,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,137.43589782714844 +1977,13,1,MVA,21-24 yrs,163,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,41.79487228393555 +1977,13,1,suicide,21-24 yrs,68,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,17.435897827148438 +1977,13,1,homicide,21-24 yrs,79,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,20.256410598754883 +1977,13,1,other external,21-24 yrs,96,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,24.615385055541992 +1977,13,1,internal,21-24 yrs,130,390000,22.47296905517578,1,0.5323113203048706,1.0800000429153442,0.1599999964237213,1.2300000190734863,2.4700000286102295,33.33333206176758 +1978,13,1,MVA,15-17 yrs,113,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,36.1138916015625 +1978,13,1,suicide,15-17 yrs,16,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,5.113471031188965 +1978,13,1,homicide,15-17 yrs,15,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,4.79387903213501 +1978,13,1,other external,15-17 yrs,50,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,15.979597091674805 +1978,13,1,internal,15-17 yrs,71,312899,16.00360107421875,0,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,22.691028594970703 +1978,13,1,all,18-20 yrs,411,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,129.06143188476562 +1978,13,1,MVA,18-20 yrs,188,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,59.035400390625 +1978,13,1,suicide,18-20 yrs,33,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,10.36259651184082 +1978,13,1,homicide,18-20 yrs,36,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,11.304651260375977 +1978,13,1,other external,18-20 yrs,62,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,19.4691219329834 +1978,13,1,internal,18-20 yrs,92,318453,18.99806785583496,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,28.889663696289062 +1978,13,1,all,21-24 yrs,598,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,149.9013671875 +1978,13,1,MVA,21-24 yrs,213,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,53.39295959472656 +1978,13,1,suicide,21-24 yrs,68,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,17.045639038085938 +1978,13,1,homicide,21-24 yrs,87,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,21.808391571044922 +1978,13,1,other external,21-24 yrs,93,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,23.312419891357422 +1978,13,1,internal,21-24 yrs,137,398929,22.476688385009766,1,0.4947555959224701,1.1399999856948853,0.1899999976158142,1.2599999904632568,2.5899999141693115,34.341949462890625 +1979,13,1,MVA,15-17 yrs,159,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,50.3417854309082 +1979,13,1,suicide,15-17 yrs,17,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,5.382454872131348 +1979,13,1,homicide,15-17 yrs,24,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,7.59876012802124 +1979,13,1,other external,15-17 yrs,47,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,14.880905151367188 +1979,13,1,internal,15-17 yrs,64,315841,16.001256942749023,0,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,20.26336097717285 +1979,13,1,all,18-20 yrs,428,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,132.75721740722656 +1979,13,1,MVA,18-20 yrs,208,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,64.51753234863281 +1979,13,1,suicide,18-20 yrs,35,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,10.856314659118652 +1979,13,1,homicide,18-20 yrs,48,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,14.888660430908203 +1979,13,1,other external,18-20 yrs,68,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,21.092269897460938 +1979,13,1,internal,18-20 yrs,69,322393,18.996742248535156,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,21.402450561523438 +1979,13,1,all,21-24 yrs,581,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,142.8782196044922 +1979,13,1,MVA,21-24 yrs,205,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,50.413143157958984 +1979,13,1,suicide,21-24 yrs,70,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,17.214242935180664 +1979,13,1,homicide,21-24 yrs,109,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,26.805036544799805 +1979,13,1,other external,21-24 yrs,85,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,20.90300941467285 +1979,13,1,internal,21-24 yrs,112,406640,22.48574447631836,1,0.4443259537220001,1.1699999570846558,0.1899999976158142,1.2200000286102295,2.5799999237060547,27.542789459228516 +1980,13,0.8915311098098755,MVA,15-17 yrs,136,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,43.35725402832031 +1980,13,0.8915311098098755,suicide,15-17 yrs,14,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,4.463246822357178 +1980,13,0.8915311098098755,homicide,15-17 yrs,20,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,6.3760666847229 +1980,13,0.8915311098098755,other external,15-17 yrs,42,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,13.389739990234375 +1980,13,0.8915311098098755,internal,15-17 yrs,54,313673,16.011566162109375,0,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,17.21537971496582 +1980,13,0.8915311098098755,all,18-20 yrs,454,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,140.26718139648438 +1980,13,0.8915311098098755,MVA,18-20 yrs,205,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,63.33650588989258 +1980,13,0.8915311098098755,suicide,18-20 yrs,40,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,12.358342170715332 +1980,13,0.8915311098098755,homicide,18-20 yrs,46,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,14.2120943069458 +1980,13,0.8915311098098755,other external,18-20 yrs,80,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,24.716684341430664 +1980,13,0.8915311098098755,internal,18-20 yrs,83,323668,19.002296447753906,0.8915311098098755,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,25.6435604095459 +1980,13,0.8915311098098755,all,21-24 yrs,561,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,136.3268585205078 +1980,13,0.8915311098098755,MVA,21-24 yrs,211,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,51.27444839477539 +1980,13,0.8915311098098755,suicide,21-24 yrs,70,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,17.010480880737305 +1980,13,0.8915311098098755,homicide,21-24 yrs,94,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,22.8426456451416 +1980,13,0.8915311098098755,other external,21-24 yrs,84,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,20.41257667541504 +1980,13,0.8915311098098755,internal,21-24 yrs,102,411511,22.494646072387695,1,0.39148133993148804,1.0700000524520874,0.1899999976158142,1.090000033378601,2.3499999046325684,24.786701202392578 +1981,13,0.6771506071090698,MVA,15-17 yrs,110,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,36.00584030151367 +1981,13,0.6771506071090698,suicide,15-17 yrs,8,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,2.6186065673828125 +1981,13,0.6771506071090698,homicide,15-17 yrs,22,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,7.201168060302734 +1981,13,0.6771506071090698,other external,15-17 yrs,60,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.639549255371094 +1981,13,0.6771506071090698,internal,15-17 yrs,60,305506,16.027612686157227,0,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.639549255371094 +1981,13,0.6771506071090698,all,18-20 yrs,422,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,129.1495361328125 +1981,13,0.6771506071090698,MVA,18-20 yrs,204,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,62.43247985839844 +1981,13,0.6771506071090698,suicide,18-20 yrs,46,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,14.077912330627441 +1981,13,0.6771506071090698,homicide,18-20 yrs,38,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,11.629579544067383 +1981,13,0.6771506071090698,other external,18-20 yrs,56,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,17.138328552246094 +1981,13,0.6771506071090698,internal,18-20 yrs,78,326753,19.015005111694336,0.6771506071090698,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,23.87124252319336 +1981,13,0.6771506071090698,all,21-24 yrs,536,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,128.75608825683594 +1981,13,0.6771506071090698,MVA,21-24 yrs,166,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,39.875953674316406 +1981,13,0.6771506071090698,suicide,21-24 yrs,72,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,17.29559326171875 +1981,13,0.6771506071090698,homicide,21-24 yrs,92,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,22.099925994873047 +1981,13,0.6771506071090698,other external,21-24 yrs,82,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,19.6977596282959 +1981,13,0.6771506071090698,internal,21-24 yrs,124,416291,22.50463104248047,1,0.3548741936683655,1.100000023841858,0.18000000715255737,1.090000033378601,2.380000114440918,29.786855697631836 +1982,13,0.6774499416351318,MVA,15-17 yrs,120,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,40.67658615112305 +1982,13,0.6774499416351318,suicide,15-17 yrs,24,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,8.1353178024292 +1982,13,0.6774499416351318,homicide,15-17 yrs,20,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,6.779431343078613 +1982,13,0.6774499416351318,other external,15-17 yrs,36,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,12.20297622680664 +1982,13,0.6774499416351318,internal,15-17 yrs,42,295010,16.029911041259766,0,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.23680591583252 +1982,13,0.6774499416351318,all,18-20 yrs,324,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,99.18964385986328 +1982,13,0.6774499416351318,MVA,18-20 yrs,116,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,35.5123405456543 +1982,13,0.6774499416351318,suicide,18-20 yrs,28,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,8.571944236755371 +1982,13,0.6774499416351318,homicide,18-20 yrs,52,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,15.919325828552246 +1982,13,0.6774499416351318,other external,18-20 yrs,48,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.694762229919434 +1982,13,0.6774499416351318,internal,18-20 yrs,80,326647,19.015840530395508,0.6774499416351318,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,24.491270065307617 +1982,13,0.6774499416351318,all,21-24 yrs,534,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,126.42913818359375 +1982,13,0.6774499416351318,MVA,21-24 yrs,168,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,39.77545928955078 +1982,13,0.6774499416351318,suicide,21-24 yrs,62,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,14.679038047790527 +1982,13,0.6774499416351318,homicide,21-24 yrs,80,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,18.94069480895996 +1982,13,0.6774499416351318,other external,21-24 yrs,96,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,22.728832244873047 +1982,13,0.6774499416351318,internal,21-24 yrs,128,422371,22.487001419067383,1,0.33428046107292175,1.1200000047683716,0.20999999344348907,1.0399999618530273,2.369999885559082,30.305110931396484 +1983,13,0.6825763583183289,MVA,15-17 yrs,102,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,35.777671813964844 +1983,13,0.6825763583183289,suicide,15-17 yrs,12,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,4.209137916564941 +1983,13,0.6825763583183289,homicide,15-17 yrs,12,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,4.209137916564941 +1983,13,0.6825763583183289,other external,15-17 yrs,29,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.172083854675293 +1983,13,0.6825763583183289,internal,15-17 yrs,66,285094,16.02155113220215,0,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,23.150259017944336 +1983,13,0.6825763583183289,all,18-20 yrs,331,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,101.88533782958984 +1983,13,0.6825763583183289,MVA,18-20 yrs,148,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,45.55598449707031 +1983,13,0.6825763583183289,suicide,18-20 yrs,33,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.157752990722656 +1983,13,0.6825763583183289,homicide,18-20 yrs,33,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,10.157752990722656 +1983,13,0.6825763583183289,other external,18-20 yrs,57,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,17.545209884643555 +1983,13,0.6825763583183289,internal,18-20 yrs,60,324875,19.023303985595703,0.6825763583183289,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,18.46864128112793 +1983,13,0.6825763583183289,all,21-24 yrs,475,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,110.74842834472656 +1983,13,0.6825763583183289,MVA,21-24 yrs,162,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,37.77104187011719 +1983,13,0.6825763583183289,suicide,21-24 yrs,59,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,13.756120681762695 +1983,13,0.6825763583183289,homicide,21-24 yrs,72,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,16.78713035583496 +1983,13,0.6825763583183289,other external,21-24 yrs,85,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,19.818140029907227 +1983,13,0.6825763583183289,internal,21-24 yrs,97,428900,22.48553466796875,1,0.32387614250183105,1.1399999856948853,0.2199999988079071,1.0499999523162842,2.4200000762939453,22.61599349975586 +1984,13,0.6906901001930237,MVA,15-17 yrs,117,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,41.19108963012695 +1984,13,0.6906901001930237,suicide,15-17 yrs,18,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,6.337090969085693 +1984,13,0.6906901001930237,homicide,15-17 yrs,14,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,4.928848743438721 +1984,13,0.6906901001930237,other external,15-17 yrs,31,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,10.91387939453125 +1984,13,0.6906901001930237,internal,15-17 yrs,56,284042,16.004533767700195,0,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,19.715394973754883 +1984,13,0.6906901001930237,all,18-20 yrs,335,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,104.73528289794922 +1984,13,0.6906901001930237,MVA,18-20 yrs,167,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,52.21132278442383 +1984,13,0.6906901001930237,suicide,18-20 yrs,29,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,9.06663703918457 +1984,13,0.6906901001930237,homicide,18-20 yrs,36,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,11.255135536193848 +1984,13,0.6906901001930237,other external,18-20 yrs,47,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,14.694204330444336 +1984,13,0.6906901001930237,internal,18-20 yrs,56,319854,19.03921127319336,0.6906901001930237,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,17.50798797607422 +1984,13,0.6906901001930237,all,21-24 yrs,509,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,116.2966079711914 +1984,13,0.6906901001930237,MVA,21-24 yrs,171,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,39.07017517089844 +1984,13,0.6906901001930237,suicide,21-24 yrs,54,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,12.337949752807617 +1984,13,0.6906901001930237,homicide,21-24 yrs,98,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,22.391094207763672 +1984,13,0.6906901001930237,other external,21-24 yrs,72,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,16.450599670410156 +1984,13,0.6906901001930237,internal,21-24 yrs,114,437674,22.497089385986328,1,0.3104722201824188,1.1799999475479126,0.23000000417232513,1.059999942779541,2.4800000190734863,26.046783447265625 +1985,13,0.5763688683509827,MVA,15-17 yrs,105,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,36.21101760864258 +1985,13,0.5763688683509827,suicide,15-17 yrs,26,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,8.9665374755859375 +1985,13,0.5763688683509827,homicide,15-17 yrs,12,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,4.138401985168457 +1985,13,0.5763688683509827,other external,15-17 yrs,37,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,12.760072708129883 +1985,13,0.5763688683509827,internal,15-17 yrs,52,289967,15.987957000732422,0,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,17.933074951171875 +1985,13,0.5763688683509827,all,18-20 yrs,336,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,107.30332946777344 +1985,13,0.5763688683509827,MVA,18-20 yrs,152,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,48.54198455810547 +1985,13,0.5763688683509827,suicide,18-20 yrs,27,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,8.622589111328125 +1985,13,0.5763688683509827,homicide,18-20 yrs,53,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,16.925823211669922 +1985,13,0.5763688683509827,other external,18-20 yrs,39,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,12.454851150512695 +1985,13,0.5763688683509827,internal,18-20 yrs,65,313131,19.041015625,0.5763688683509827,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,20.758085250854492 +1985,13,0.5763688683509827,all,21-24 yrs,524,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,117.49089813232422 +1985,13,0.5763688683509827,MVA,21-24 yrs,178,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,39.91102981567383 +1985,13,0.5763688683509827,suicide,21-24 yrs,63,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,14.125813484191895 +1985,13,0.5763688683509827,homicide,21-24 yrs,88,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,19.73129653930664 +1985,13,0.5763688683509827,other external,21-24 yrs,61,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,13.677375793457031 +1985,13,0.5763688683509827,internal,21-24 yrs,134,445992,22.511438369750977,1,0.29979613423347473,1.1699999570846558,0.25,1.0099999904632568,2.430000066757202,30.045381546020508 +1986,13,0.23116761445999146,MVA,15-17 yrs,124,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,41.12387466430664 +1986,13,0.23116761445999146,suicide,15-17 yrs,18,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,5.969594955444336 +1986,13,0.23116761445999146,homicide,15-17 yrs,21,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,6.964527130126953 +1986,13,0.23116761445999146,other external,15-17 yrs,34,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.275901794433594 +1986,13,0.23116761445999146,internal,15-17 yrs,54,301528,15.985404014587402,0,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,17.908784866333008 +1986,13,0.23116761445999146,all,18-20 yrs,354,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,115.73582458496094 +1986,13,0.23116761445999146,MVA,18-20 yrs,157,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,51.32916259765625 +1986,13,0.23116761445999146,suicide,18-20 yrs,36,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.769744873046875 +1986,13,0.23116761445999146,homicide,18-20 yrs,52,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,17.000741958618164 +1986,13,0.23116761445999146,other external,18-20 yrs,43,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,14.058305740356445 +1986,13,0.23116761445999146,internal,18-20 yrs,66,305869,19.033348083496094,0.23116761445999146,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,21.577865600585938 +1986,13,0.23116761445999146,all,21-24 yrs,525,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,117.2712631225586 +1986,13,0.23116761445999146,MVA,21-24 yrs,197,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,44.00464630126953 +1986,13,0.23116761445999146,suicide,21-24 yrs,86,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,19.21014976501465 +1986,13,0.23116761445999146,homicide,21-24 yrs,90,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,20.10364532470703 +1986,13,0.23116761445999146,other external,21-24 yrs,53,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,11.838813781738281 +1986,13,0.23116761445999146,internal,21-24 yrs,99,447680,22.51983070373535,1,0.29432541131973267,1.2200000286102295,0.27000001072883606,0.949999988079071,2.430000066757202,22.114009857177734 +1987,13,0,MVA,15-17 yrs,113,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,37.12196350097656 +1987,13,0,suicide,15-17 yrs,28,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,9.198362350463867 +1987,13,0,homicide,15-17 yrs,26,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,8.541337013244629 +1987,13,0,other external,15-17 yrs,49,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,16.097135543823242 +1987,13,0,internal,15-17 yrs,57,304402,16.01702117919922,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,18.725238800048828 +1987,13,0,all,18-20 yrs,341,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,111.32476806640625 +1987,13,0,MVA,18-20 yrs,149,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,48.64337158203125 +1987,13,0,suicide,18-20 yrs,42,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,13.711554527282715 +1987,13,0,homicide,18-20 yrs,46,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,15.017416954040527 +1987,13,0,other external,18-20 yrs,44,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,14.364485740661621 +1987,13,0,internal,18-20 yrs,60,306311,19.014060974121094,0,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,19.587934494018555 +1987,13,0,all,21-24 yrs,542,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,122.30815124511719 +1987,13,0,MVA,21-24 yrs,191,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,43.10121154785156 +1987,13,0,suicide,21-24 yrs,64,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,14.442290306091309 +1987,13,0,homicide,21-24 yrs,101,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,22.79174041748047 +1987,13,0,other external,21-24 yrs,62,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,13.990968704223633 +1987,13,0,internal,21-24 yrs,124,443143,22.53938102722168,1,0.28396183252334595,1.2200000286102295,0.27000001072883606,1,2.490000009536743,27.981937408447266 +1988,13,0,MVA,15-17 yrs,130,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,43.32380294799805 +1988,13,0,suicide,15-17 yrs,25,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,8.331500053405762 +1988,13,0,homicide,15-17 yrs,33,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,10.997580528259277 +1988,13,0,other external,15-17 yrs,32,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,10.664320945739746 +1988,13,0,internal,15-17 yrs,59,300066,16.0439395904541,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,19.66234016418457 +1988,13,0,all,18-20 yrs,399,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,127.80924224853516 +1988,13,0,MVA,18-20 yrs,179,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,57.33797836303711 +1988,13,0,suicide,18-20 yrs,51,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,16.336519241333008 +1988,13,0,homicide,18-20 yrs,55,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,17.617815017700195 +1988,13,0,other external,18-20 yrs,42,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,13.453604698181152 +1988,13,0,internal,18-20 yrs,72,312184,18.99704360961914,0,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,23.063322067260742 +1988,13,0,all,21-24 yrs,574,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,132.0645294189453 +1988,13,0,MVA,21-24 yrs,177,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,40.723731994628906 +1988,13,0,suicide,21-24 yrs,70,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,16.105430603027344 +1988,13,0,homicide,21-24 yrs,119,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,27.37923240661621 +1988,13,0,other external,21-24 yrs,58,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,13.344499588012695 +1988,13,0,internal,21-24 yrs,150,434636,22.551958084106445,1,0.2726801633834839,1.2200000286102295,0.25999999046325684,0.9200000166893005,2.4000000953674316,34.51163864135742 +1989,13,0,MVA,15-17 yrs,111,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,38.58534240722656 +1989,13,0,suicide,15-17 yrs,25,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,8.69039249420166 +1989,13,0,homicide,15-17 yrs,36,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.514164924621582 +1989,13,0,other external,15-17 yrs,25,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,8.69039249420166 +1989,13,0,internal,15-17 yrs,54,287674,16.03108024597168,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,18.77124786376953 +1989,13,0,all,18-20 yrs,417,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,128.987548828125 +1989,13,0,MVA,18-20 yrs,182,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,56.29672622680664 +1989,13,0,suicide,18-20 yrs,56,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,17.32206916809082 +1989,13,0,homicide,18-20 yrs,59,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,18.250038146972656 +1989,13,0,other external,18-20 yrs,41,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.682229995727539 +1989,13,0,internal,18-20 yrs,79,323287,18.994394302368164,0,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,24.436491012573242 +1989,13,0,all,21-24 yrs,567,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,134.22500610351562 +1989,13,0,MVA,21-24 yrs,177,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,41.90092849731445 +1989,13,0,suicide,21-24 yrs,61,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,14.440433502197266 +1989,13,0,homicide,21-24 yrs,118,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,27.93395233154297 +1989,13,0,other external,21-24 yrs,54,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,12.783334732055664 +1989,13,0,internal,21-24 yrs,157,422425,22.549875259399414,1,0.2601456642150879,1.1799999475479126,0.23999999463558197,0.9399999976158142,2.369999885559082,37.16636276245117 +1990,13,0,MVA,15-17 yrs,102,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,36.20731735229492 +1990,13,0,suicide,15-17 yrs,22,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,7.809421539306641 +1990,13,0,homicide,15-17 yrs,24,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,8.519369125366211 +1990,13,0,other external,15-17 yrs,27,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,9.584290504455566 +1990,13,0,internal,15-17 yrs,44,281711,16.01572608947754,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,15.618843078613281 +1990,13,0,all,18-20 yrs,380,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,116.5840835571289 +1990,13,0,MVA,18-20 yrs,141,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,43.25883102416992 +1990,13,0,suicide,18-20 yrs,61,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,18.714813232421875 +1990,13,0,homicide,18-20 yrs,69,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,21.16921615600586 +1990,13,0,other external,18-20 yrs,47,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,14.419610977172852 +1990,13,0,internal,18-20 yrs,62,325945,19.02873420715332,0,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,19.02161407470703 +1990,13,0,all,21-24 yrs,565,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,136.11407470703125 +1990,13,0,MVA,21-24 yrs,165,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,39.75012969970703 +1990,13,0,suicide,21-24 yrs,76,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,18.30915069580078 +1990,13,0,homicide,21-24 yrs,124,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,29.87282371520996 +1990,13,0,other external,21-24 yrs,58,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,13.972772598266602 +1990,13,0,internal,21-24 yrs,142,415093,22.51995086669922,1,0.2468099743127823,1.2200000286102295,0.23000000417232513,0.8600000143051147,2.309999942779541,34.20920181274414 +1991,13,0,MVA,15-17 yrs,99,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,35.59537887573242 +1991,13,0,suicide,15-17 yrs,23,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,8.269633293151855 +1991,13,0,homicide,15-17 yrs,37,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,13.303322792053223 +1991,13,0,other external,15-17 yrs,26,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,9.348280906677246 +1991,13,0,internal,15-17 yrs,47,278126,16.01972198486328,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,16.898815155029297 +1991,13,0,all,18-20 yrs,374,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,117.58454895019531 +1991,13,0,MVA,18-20 yrs,146,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,45.9019889831543 +1991,13,0,suicide,18-20 yrs,47,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,14.776667594909668 +1991,13,0,homicide,18-20 yrs,80,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,25.151775360107422 +1991,13,0,other external,18-20 yrs,35,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,11.003901481628418 +1991,13,0,internal,18-20 yrs,66,318069,19.055158615112305,0,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,20.750213623046875 +1991,13,0,all,21-24 yrs,518,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,124.61209106445312 +1991,13,0,MVA,21-24 yrs,141,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,33.91950607299805 +1991,13,0,suicide,21-24 yrs,62,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,14.914960861206055 +1991,13,0,homicide,21-24 yrs,130,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,31.273303985595703 +1991,13,0,other external,21-24 yrs,58,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,13.952705383300781 +1991,13,0,internal,21-24 yrs,127,415690,22.4851131439209,1,0.23684334754943848,1.159999966621399,0.2199999988079071,0.7799999713897705,2.1700000762939453,30.551612854003906 +1992,13,0,MVA,15-17 yrs,83,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,29.303356170654297 +1992,13,0,suicide,15-17 yrs,23,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,8.120207786560059 +1992,13,0,homicide,15-17 yrs,46,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,16.240415573120117 +1992,13,0,other external,15-17 yrs,32,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,11.297679901123047 +1992,13,0,internal,15-17 yrs,60,283244,16.004398345947266,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.183149337768555 +1992,13,0,all,18-20 yrs,331,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,107.9219970703125 +1992,13,0,MVA,18-20 yrs,117,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,38.14765548706055 +1992,13,0,suicide,18-20 yrs,47,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,15.324271202087402 +1992,13,0,homicide,18-20 yrs,67,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.845237731933594 +1992,13,0,other external,18-20 yrs,34,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,11.08564281463623 +1992,13,0,internal,18-20 yrs,66,306703,19.044668197631836,0,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,21.519189834594727 +1992,13,0,all,21-24 yrs,503,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,118.54652404785156 +1992,13,0,MVA,21-24 yrs,132,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,31.109622955322266 +1992,13,0,suicide,21-24 yrs,76,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,17.911602020263672 +1992,13,0,homicide,21-24 yrs,108,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,25.45332908630371 +1992,13,0,other external,21-24 yrs,42,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,9.898516654968262 +1992,13,0,internal,21-24 yrs,145,424306,22.458728790283203,1,0.22992204129695892,1.2200000286102295,0.20999999344348907,0.7900000214576721,2.2300000190734863,34.1734504699707 +1993,13,0,MVA,15-17 yrs,87,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,29.994932174682617 +1993,13,0,suicide,15-17 yrs,25,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,8.619233131408691 +1993,13,0,homicide,15-17 yrs,43,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,14.825080871582031 +1993,13,0,other external,15-17 yrs,25,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,8.619233131408691 +1993,13,0,internal,15-17 yrs,33,290049,15.98702621459961,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,11.377388000488281 +1993,13,0,all,18-20 yrs,357,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,118.44017028808594 +1993,13,0,MVA,18-20 yrs,117,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,38.8165283203125 +1993,13,0,suicide,18-20 yrs,44,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,14.597668647766113 +1993,13,0,homicide,18-20 yrs,79,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,26.209449768066406 +1993,13,0,other external,18-20 yrs,47,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,15.592964172363281 +1993,13,0,internal,18-20 yrs,70,301418,19.025108337402344,0,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,23.22356414794922 +1993,13,0,all,21-24 yrs,522,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,121.5471420288086 +1993,13,0,MVA,21-24 yrs,146,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,33.99594497680664 +1993,13,0,suicide,21-24 yrs,65,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,15.135180473327637 +1993,13,0,homicide,21-24 yrs,122,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,28.407569885253906 +1993,13,0,other external,21-24 yrs,51,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,11.875295639038086 +1993,13,0,internal,21-24 yrs,138,429463,22.487268447875977,1,0.22323919832706451,1.2300000190734863,0.20000000298023224,0.7699999809265137,2.200000047683716,32.13315200805664 +1994,13,0,MVA,15-17 yrs,69,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,22.882308959960938 +1994,13,0,suicide,15-17 yrs,36,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,11.93859577178955 +1994,13,0,homicide,15-17 yrs,49,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,16.249755859375 +1994,13,0,other external,15-17 yrs,28,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.285574913024902 +1994,13,0,internal,15-17 yrs,44,301543,15.996697425842285,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,14.591617584228516 +1994,13,0,all,18-20 yrs,350,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,116.35677337646484 +1994,13,0,MVA,18-20 yrs,118,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,39.22885513305664 +1994,13,0,suicide,18-20 yrs,52,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,17.287290573120117 +1994,13,0,homicide,18-20 yrs,90,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,29.920312881469727 +1994,13,0,other external,18-20 yrs,29,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.640989303588867 +1994,13,0,internal,18-20 yrs,61,300799,19.027626037597656,0,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,20.27932357788086 +1994,13,0,all,21-24 yrs,495,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,114.77888488769531 +1994,13,0,MVA,21-24 yrs,152,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,35.24523162841797 +1994,13,0,suicide,21-24 yrs,68,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,15.767603874206543 +1994,13,0,homicide,21-24 yrs,99,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,22.95577621459961 +1994,13,0,other external,21-24 yrs,39,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,9.043184280395508 +1994,13,0,internal,21-24 yrs,137,431264,22.532590866088867,1,0.21766574680805206,1.1699999570846558,0.20000000298023224,0.7699999809265137,2.140000104904175,31.7670841217041 +1995,13,0,MVA,15-17 yrs,104,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,33.13304901123047 +1995,13,0,suicide,15-17 yrs,32,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,10.194784164428711 +1995,13,0,homicide,15-17 yrs,37,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,11.787718772888184 +1995,13,0,other external,15-17 yrs,31,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,9.87619686126709 +1995,13,0,internal,15-17 yrs,51,313886,15.986281394958496,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,16.247936248779297 +1995,13,0,all,18-20 yrs,342,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,111.82171630859375 +1995,13,0,MVA,18-20 yrs,109,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,35.63908386230469 +1995,13,0,suicide,18-20 yrs,41,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,13.405527114868164 +1995,13,0,homicide,18-20 yrs,80,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,26.15712547302246 +1995,13,0,other external,18-20 yrs,34,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,11.116778373718262 +1995,13,0,internal,18-20 yrs,78,305844,19.013729095458984,0,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,25.503198623657227 +1995,13,0,all,21-24 yrs,487,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,114.56586456298828 +1995,13,0,MVA,21-24 yrs,158,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,37.169212341308594 +1995,13,0,suicide,21-24 yrs,67,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,15.761628150939941 +1995,13,0,homicide,21-24 yrs,80,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,18.819854736328125 +1995,13,0,other external,21-24 yrs,46,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,10.821415901184082 +1995,13,0,internal,21-24 yrs,136,425083,22.551179885864258,1,0.21166709065437317,1.2000000476837158,0.2199999988079071,0.7099999785423279,2.130000114440918,31.993751525878906 +1996,13,0,MVA,15-17 yrs,129,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,39.81690216064453 +1996,13,0,suicide,15-17 yrs,30,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.259744644165039 +1996,13,0,homicide,15-17 yrs,37,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,11.4203519821167 +1996,13,0,other external,15-17 yrs,30,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.259744644165039 +1996,13,0,internal,15-17 yrs,54,323983,15.996585845947266,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,16.66754150390625 +1996,13,0,all,18-20 yrs,396,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,126.75447845458984 +1996,13,0,MVA,18-20 yrs,166,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,53.13445281982422 +1996,13,0,suicide,18-20 yrs,37,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,11.843221664428711 +1996,13,0,homicide,18-20 yrs,70,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,22.40609359741211 +1996,13,0,other external,18-20 yrs,42,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,13.443656921386719 +1996,13,0,internal,18-20 yrs,81,312415,18.998428344726562,0,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,25.927051544189453 +1996,13,0,all,21-24 yrs,517,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,124.26002502441406 +1996,13,0,MVA,21-24 yrs,162,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,38.9364128112793 +1996,13,0,suicide,21-24 yrs,72,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,17.305070877075195 +1996,13,0,homicide,21-24 yrs,109,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,26.197956085205078 +1996,13,0,other external,21-24 yrs,38,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,9.133232116699219 +1996,13,0,internal,21-24 yrs,136,416063,22.526609420776367,1,0.20559632778167725,1.2200000286102295,0.23999999463558197,0.699999988079071,2.1600000858306885,32.68735885620117 +1970,15,0,MVA,15-17 yrs,9,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,20.332550048828125 +1970,15,0,suicide,15-17 yrs,2,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.518344402313232 +1970,15,0,homicide,15-17 yrs,2,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.518344402313232 +1970,15,0,other external,15-17 yrs,7,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,15.81420612335205 +1970,15,0,internal,15-17 yrs,16,44264,15.990127563476562,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,36.14675521850586 +1970,15,0,all,18-20 yrs,48,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,107.94278717041016 +1970,15,0,MVA,18-20 yrs,14,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,31.483314514160156 +1970,15,0,suicide,18-20 yrs,2,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.497616291046143 +1970,15,0,homicide,18-20 yrs,3,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,6.746424198150635 +1970,15,0,other external,18-20 yrs,10,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,22.488080978393555 +1970,15,0,internal,18-20 yrs,19,44468,19.067283630371094,0,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,42.72735595703125 +1970,15,0,all,21-24 yrs,70,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,107.70390319824219 +1970,15,0,MVA,21-24 yrs,32,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,49.2360725402832 +1970,15,0,suicide,21-24 yrs,5,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,7.693136215209961 +1970,15,0,homicide,21-24 yrs,3,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,4.61588191986084 +1970,15,0,other external,21-24 yrs,18,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,27.695289611816406 +1970,15,0,internal,21-24 yrs,12,64993,22.37870216369629,1,NA,1.1100000143051147,0.25,1.1200000047683716,2.4800000190734863,18.46352767944336 +1971,15,0,MVA,15-17 yrs,20,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,42.4980354309082 +1971,15,0,suicide,15-17 yrs,3,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,6.3747053146362305 +1971,15,0,homicide,15-17 yrs,2,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,4.24980354309082 +1971,15,0,other external,15-17 yrs,5,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,10.62450885772705 +1971,15,0,internal,15-17 yrs,6,47061,15.994156837463379,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.749410629272461 +1971,15,0,all,18-20 yrs,65,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,133.3059844970703 +1971,15,0,MVA,18-20 yrs,19,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,38.966365814208984 +1971,15,0,suicide,18-20 yrs,6,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.305168151855469 +1971,15,0,homicide,18-20 yrs,6,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.305168151855469 +1971,15,0,other external,18-20 yrs,18,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,36.915504455566406 +1971,15,0,internal,18-20 yrs,16,48760,19.044832229614258,0,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,32.81378173828125 +1971,15,0,all,21-24 yrs,85,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,132.94960021972656 +1971,15,0,MVA,21-24 yrs,26,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,40.66693878173828 +1971,15,0,suicide,21-24 yrs,10,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,15.641129493713379 +1971,15,0,homicide,21-24 yrs,8,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,12.512904167175293 +1971,15,0,other external,21-24 yrs,19,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,29.71814727783203 +1971,15,0,internal,21-24 yrs,22,63934,22.520490646362305,1,NA,1.149999976158142,0.3700000047683716,0.9300000071525574,2.450000047683716,34.410484313964844 +1972,15,0.8383561372756958,MVA,15-17 yrs,10,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,20.382789611816406 +1972,15,0.8383561372756958,suicide,15-17 yrs,0,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,0 +1972,15,0.8383561372756958,homicide,15-17 yrs,4,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,8.153115272521973 +1972,15,0.8383561372756958,other external,15-17 yrs,8,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,16.306230545043945 +1972,15,0.8383561372756958,internal,15-17 yrs,6,49061,15.997451782226562,0,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.229673385620117 +1972,15,0.8383561372756958,all,18-20 yrs,44,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,83.02983093261719 +1972,15,0.8383561372756958,MVA,18-20 yrs,16,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,30.19266700744629 +1972,15,0.8383561372756958,suicide,18-20 yrs,8,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,15.096333503723145 +1972,15,0.8383561372756958,homicide,18-20 yrs,4,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,7.548166751861572 +1972,15,0.8383561372756958,other external,18-20 yrs,12,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,22.644500732421875 +1972,15,0.8383561372756958,internal,18-20 yrs,4,52993,19.061216354370117,0.8383561372756958,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,7.548166751861572 +1972,15,0.8383561372756958,all,21-24 yrs,76,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,121.64671325683594 +1972,15,0.8383561372756958,MVA,21-24 yrs,28,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,44.81721115112305 +1972,15,0.8383561372756958,suicide,21-24 yrs,8,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.804917335510254 +1972,15,0.8383561372756958,homicide,21-24 yrs,8,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,12.804917335510254 +1972,15,0.8383561372756958,other external,21-24 yrs,14,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,22.408605575561523 +1972,15,0.8383561372756958,internal,21-24 yrs,18,62476,22.488636016845703,1,NA,1.2000000476837158,0.27000001072883606,1.059999942779541,2.5199999809265137,28.811063766479492 +1973,15,1,MVA,15-17 yrs,5,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,9.975858688354492 +1973,15,1,suicide,15-17 yrs,0,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,0 +1973,15,1,homicide,15-17 yrs,1,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,1.9951716661453247 +1973,15,1,other external,15-17 yrs,7,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,13.966201782226562 +1973,15,1,internal,15-17 yrs,10,50121,16.00542640686035,0,NA,1.25,0.3199999928474426,1.25,2.819999933242798,19.951717376708984 +1973,15,1,all,18-20 yrs,61,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,106.07035064697266 +1973,15,1,MVA,18-20 yrs,20,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,34.777164459228516 +1973,15,1,suicide,18-20 yrs,10,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,17.388582229614258 +1973,15,1,homicide,18-20 yrs,2,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,3.4777164459228516 +1973,15,1,other external,18-20 yrs,13,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,22.60515785217285 +1973,15,1,internal,18-20 yrs,16,57509,19.07291030883789,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,27.821731567382812 +1973,15,1,all,21-24 yrs,78,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,119.35548400878906 +1973,15,1,MVA,21-24 yrs,19,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,29.07377052307129 +1973,15,1,suicide,21-24 yrs,11,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,16.832183837890625 +1973,15,1,homicide,21-24 yrs,11,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,16.832183837890625 +1973,15,1,other external,21-24 yrs,18,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,27.54357147216797 +1973,15,1,internal,21-24 yrs,19,65351,22.40504264831543,1,NA,1.25,0.3199999928474426,1.25,2.819999933242798,29.07377052307129 +1974,15,1,MVA,15-17 yrs,18,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,35.07883071899414 +1974,15,1,suicide,15-17 yrs,1,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,1.9488239288330078 +1974,15,1,homicide,15-17 yrs,3,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,5.846471786499023 +1974,15,1,other external,15-17 yrs,8,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,15.590591430664062 +1974,15,1,internal,15-17 yrs,14,51313,16.008808135986328,0,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,27.28353500366211 +1974,15,1,all,18-20 yrs,50,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,85.4759292602539 +1974,15,1,MVA,18-20 yrs,14,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,23.933259963989258 +1974,15,1,suicide,18-20 yrs,9,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,15.38566780090332 +1974,15,1,homicide,18-20 yrs,4,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,6.838074207305908 +1974,15,1,other external,18-20 yrs,10,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,17.095186233520508 +1974,15,1,internal,18-20 yrs,13,58496,19.067337036132812,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,22.22374153137207 +1974,15,1,all,21-24 yrs,80,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,118.43955993652344 +1974,15,1,MVA,21-24 yrs,15,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,22.207416534423828 +1974,15,1,suicide,21-24 yrs,14,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,20.7269229888916 +1974,15,1,homicide,21-24 yrs,11,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,16.285438537597656 +1974,15,1,other external,21-24 yrs,21,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,31.090383529663086 +1974,15,1,internal,21-24 yrs,19,67545,22.337167739868164,1,NA,1.3300000429153442,0.33000001311302185,1.309999942779541,2.9800000190734863,28.12939453125 +1975,15,1,MVA,15-17 yrs,9,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,17.455730438232422 +1975,15,1,suicide,15-17 yrs,2,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,3.8790512084960938 +1975,15,1,homicide,15-17 yrs,2,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,3.8790512084960938 +1975,15,1,other external,15-17 yrs,3,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,5.818576812744141 +1975,15,1,internal,15-17 yrs,7,51559,16.007816314697266,0,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,13.576679229736328 +1975,15,1,all,18-20 yrs,51,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,85.07514953613281 +1975,15,1,MVA,18-20 yrs,20,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,33.3628044128418 +1975,15,1,suicide,18-20 yrs,7,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,11.676980972290039 +1975,15,1,homicide,18-20 yrs,6,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,10.008841514587402 +1975,15,1,other external,18-20 yrs,9,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,15.013261795043945 +1975,15,1,internal,18-20 yrs,9,59947,19.071813583374023,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,15.013261795043945 +1975,15,1,all,21-24 yrs,87,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,119.60407257080078 +1975,15,1,MVA,21-24 yrs,26,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,35.743743896484375 +1975,15,1,suicide,21-24 yrs,7,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,9.623315811157227 +1975,15,1,homicide,21-24 yrs,8,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,10.998075485229492 +1975,15,1,other external,21-24 yrs,31,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,42.6175422668457 +1975,15,1,internal,21-24 yrs,15,72740,22.380630493164062,1,NA,1.5,0.3499999940395355,1.2999999523162842,3.1500000953674316,20.62139129638672 +1976,15,1,MVA,15-17 yrs,8,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,15.363933563232422 +1976,15,1,suicide,15-17 yrs,4,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,7.681966781616211 +1976,15,1,homicide,15-17 yrs,4,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,7.681966781616211 +1976,15,1,other external,15-17 yrs,14,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,26.886882781982422 +1976,15,1,internal,15-17 yrs,15,52070,16.011829376220703,0,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,28.807374954223633 +1976,15,1,all,18-20 yrs,72,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,118.79815673828125 +1976,15,1,MVA,18-20 yrs,24,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,39.59938430786133 +1976,15,1,suicide,18-20 yrs,4,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,6.599897861480713 +1976,15,1,homicide,18-20 yrs,1,60607,19.084890365600586,1,NA,1.5,0.38999998569488525,1.2999999523162842,3.190000057220459,1.6499744653701782 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yrs,61,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,101.64972686767578 +1977,15,1,MVA,18-20 yrs,19,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,31.66139030456543 +1977,15,1,suicide,18-20 yrs,6,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,9.998333930969238 +1977,15,1,homicide,18-20 yrs,6,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,9.998333930969238 +1977,15,1,other external,18-20 yrs,18,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,29.9950008392334 +1977,15,1,internal,18-20 yrs,12,60010,19.091768264770508,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,19.996667861938477 +1977,15,1,all,21-24 yrs,93,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,116.9693603515625 +1977,15,1,MVA,21-24 yrs,28,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,35.216583251953125 +1977,15,1,suicide,21-24 yrs,18,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,22.639230728149414 +1977,15,1,homicide,21-24 yrs,8,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,10.061880111694336 +1977,15,1,other external,21-24 yrs,21,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,26.41243553161621 +1977,15,1,internal,21-24 yrs,18,79508,22.448734283447266,1,NA,1.6100000143051147,0.36000001430511475,1.2599999904632568,3.2300000190734863,22.639230728149414 +1978,15,1,MVA,15-17 yrs,15,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,29.229509353637695 +1978,15,1,suicide,15-17 yrs,3,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,5.845901966094971 +1978,15,1,homicide,15-17 yrs,1,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,1.9486340284347534 +1978,15,1,other external,15-17 yrs,3,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,5.845901966094971 +1978,15,1,internal,15-17 yrs,11,51318,16.005651473999023,0,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,21.434974670410156 +1978,15,1,all,18-20 yrs,60,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,100.55135345458984 +1978,15,1,MVA,18-20 yrs,22,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,36.868831634521484 +1978,15,1,suicide,18-20 yrs,15,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,25.13783836364746 +1978,15,1,homicide,18-20 yrs,5,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,8.379280090332031 +1978,15,1,other external,18-20 yrs,8,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.406847953796387 +1978,15,1,internal,18-20 yrs,10,59671,19.100282669067383,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,16.758560180664062 +1978,15,1,all,21-24 yrs,91,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,111.42129516601562 +1978,15,1,MVA,21-24 yrs,40,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,48.97639465332031 +1978,15,1,suicide,21-24 yrs,11,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.468507766723633 +1978,15,1,homicide,21-24 yrs,14,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,17.14173698425293 +1978,15,1,other external,21-24 yrs,11,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,13.468507766723633 +1978,15,1,internal,21-24 yrs,15,81672,22.454330444335938,1,NA,1.3799999952316284,0.46000000834465027,1.2999999523162842,3.1500000953674316,18.366147994995117 +1979,15,1,MVA,15-17 yrs,11,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,21.48059844970703 +1979,15,1,suicide,15-17 yrs,3,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,5.858345031738281 +1979,15,1,homicide,15-17 yrs,2,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,3.9055635929107666 +1979,15,1,other external,15-17 yrs,5,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,9.763908386230469 +1979,15,1,internal,15-17 yrs,8,51209,16.00761604309082,0,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.622254371643066 +1979,15,1,all,18-20 yrs,84,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,141.04135131835938 +1979,15,1,MVA,18-20 yrs,43,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,72.19974517822266 +1979,15,1,suicide,18-20 yrs,16,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,26.865020751953125 +1979,15,1,homicide,18-20 yrs,9,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.111574172973633 +1979,15,1,other external,18-20 yrs,7,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,11.753446578979492 +1979,15,1,internal,18-20 yrs,9,59557,19.109962463378906,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,15.111574172973633 +1979,15,1,all,21-24 yrs,105,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,125.59207916259766 +1979,15,1,MVA,21-24 yrs,37,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,44.256256103515625 +1979,15,1,suicide,21-24 yrs,24,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,28.70676040649414 +1979,15,1,homicide,21-24 yrs,11,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,13.157265663146973 +1979,15,1,other external,21-24 yrs,14,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,16.7456111907959 +1979,15,1,internal,21-24 yrs,19,83604,22.46233367919922,1,NA,1.600000023841858,0.4399999976158142,1.2799999713897705,3.319999933242798,22.726184844970703 +1980,15,1,MVA,15-17 yrs,15,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,30.230356216430664 +1980,15,1,suicide,15-17 yrs,0,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,0 +1980,15,1,homicide,15-17 yrs,0,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,0 +1980,15,1,other external,15-17 yrs,5,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,10.07678508758545 +1980,15,1,internal,15-17 yrs,6,49619,16.019065856933594,0,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,12.092142105102539 +1980,15,1,all,18-20 yrs,66,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,113.50151824951172 +1980,15,1,MVA,18-20 yrs,20,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,34.39440155029297 +1980,15,1,suicide,18-20 yrs,7,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,12.038040161132812 +1980,15,1,homicide,18-20 yrs,8,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,13.757760047912598 +1980,15,1,other external,18-20 yrs,17,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,29.235240936279297 +1980,15,1,internal,18-20 yrs,14,58149,19.07028579711914,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,24.076080322265625 +1980,15,1,all,21-24 yrs,107,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,127.9032211303711 +1980,15,1,MVA,21-24 yrs,30,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,35.8607177734375 +1980,15,1,suicide,21-24 yrs,16,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,19.125715255737305 +1980,15,1,homicide,21-24 yrs,10,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,11.953572273254395 +1980,15,1,other external,21-24 yrs,24,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,28.688573837280273 +1980,15,1,internal,21-24 yrs,27,83657,22.47405433654785,1,NA,1.649999976158142,0.46000000834465027,1.2100000381469727,3.309999942779541,32.2746467590332 +1981,15,1,MVA,15-17 yrs,11,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,22.789897918701172 +1981,15,1,suicide,15-17 yrs,0,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,0 +1981,15,1,homicide,15-17 yrs,2,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,4.143617630004883 +1981,15,1,other external,15-17 yrs,6,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,12.430853843688965 +1981,15,1,internal,15-17 yrs,6,48267,16.033023834228516,0,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,12.430853843688965 +1981,15,1,all,18-20 yrs,67,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,118.73538208007812 +1981,15,1,MVA,18-20 yrs,20,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,35.443397521972656 +1981,15,1,suicide,18-20 yrs,12,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,21.26603889465332 +1981,15,1,homicide,18-20 yrs,4,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,7.088679313659668 +1981,15,1,other external,18-20 yrs,16,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,28.354717254638672 +1981,15,1,internal,18-20 yrs,15,56428,19.027132034301758,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,26.582548141479492 +1981,15,1,all,21-24 yrs,91,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,110.27896881103516 +1981,15,1,MVA,21-24 yrs,24,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,29.084564208984375 +1981,15,1,suicide,21-24 yrs,14,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,16.96599578857422 +1981,15,1,homicide,21-24 yrs,9,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,10.90671157836914 +1981,15,1,other external,21-24 yrs,23,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,27.87270736694336 +1981,15,1,internal,21-24 yrs,21,82518,22.495601654052734,1,NA,1.7400000095367432,0.4399999976158142,1.159999966621399,3.3399999141693115,25.448993682861328 +1982,15,1,MVA,15-17 yrs,2,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,4.315553188323975 +1982,15,1,suicide,15-17 yrs,4,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,8.63110637664795 +1982,15,1,homicide,15-17 yrs,0,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,0 +1982,15,1,other external,15-17 yrs,3,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,6.473330020904541 +1982,15,1,internal,15-17 yrs,9,46344,16.029022216796875,0,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,19.41999053955078 +1982,15,1,all,18-20 yrs,65,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,116.61493682861328 +1982,15,1,MVA,18-20 yrs,20,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,35.88151931762695 +1982,15,1,suicide,18-20 yrs,8,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,14.352607727050781 +1982,15,1,homicide,18-20 yrs,1,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,1.7940759658813477 +1982,15,1,other external,18-20 yrs,15,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,26.9111385345459 +1982,15,1,internal,18-20 yrs,21,55739,19.027019500732422,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,37.675594329833984 +1982,15,1,all,21-24 yrs,92,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,114.65888977050781 +1982,15,1,MVA,21-24 yrs,24,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,29.911014556884766 +1982,15,1,suicide,21-24 yrs,17,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,21.186967849731445 +1982,15,1,homicide,21-24 yrs,9,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,11.216630935668945 +1982,15,1,other external,21-24 yrs,16,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,19.940675735473633 +1982,15,1,internal,21-24 yrs,26,80238,22.53141975402832,1,NA,1.7999999523162842,0.47999998927116394,1.1399999856948853,3.4200000762939453,32.40359878540039 +1983,15,1,MVA,15-17 yrs,6,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,13.350837707519531 +1983,15,1,suicide,15-17 yrs,5,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,11.12569808959961 +1983,15,1,homicide,15-17 yrs,0,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,0 +1983,15,1,other external,15-17 yrs,2,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,4.450279235839844 +1983,15,1,internal,15-17 yrs,7,44941,16.01780128479004,0,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,15.575977325439453 +1983,15,1,all,18-20 yrs,50,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,89.41984558105469 +1983,15,1,MVA,18-20 yrs,14,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,25.037555694580078 +1983,15,1,suicide,18-20 yrs,3,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,5.365190505981445 +1983,15,1,homicide,18-20 yrs,3,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,5.365190505981445 +1983,15,1,other external,18-20 yrs,11,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,19.672365188598633 +1983,15,1,internal,18-20 yrs,19,55916,19.064220428466797,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.97954177856445 +1983,15,1,all,21-24 yrs,84,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,107.48147583007812 +1983,15,1,MVA,21-24 yrs,26,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.2680778503418 +1983,15,1,suicide,21-24 yrs,6,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,7.677248477935791 +1983,15,1,homicide,21-24 yrs,7,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,8.95678997039795 +1983,15,1,other external,21-24 yrs,19,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,24.31128692626953 +1983,15,1,internal,21-24 yrs,26,78153,22.540401458740234,1,NA,1.8700000047683716,0.4399999976158142,1.1200000047683716,3.430000066757202,33.2680778503418 +1984,15,1,MVA,15-17 yrs,7,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,15.723977088928223 +1984,15,1,suicide,15-17 yrs,7,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,15.723977088928223 +1984,15,1,homicide,15-17 yrs,1,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,2.2462823390960693 +1984,15,1,other external,15-17 yrs,5,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,11.231411933898926 +1984,15,1,internal,15-17 yrs,10,44518,15.990565299987793,0,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,22.46282386779785 +1984,15,1,all,18-20 yrs,53,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,99.07838439941406 +1984,15,1,MVA,18-20 yrs,21,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,39.25747299194336 +1984,15,1,suicide,18-20 yrs,7,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,13.085824012756348 +1984,15,1,homicide,18-20 yrs,2,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,3.738806962966919 +1984,15,1,other external,18-20 yrs,7,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,13.085824012756348 +1984,15,1,internal,18-20 yrs,16,53493,19.08563804626465,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,29.91045570373535 +1984,15,1,all,21-24 yrs,72,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,92.832550048828125 +1984,15,1,MVA,21-24 yrs,19,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,24.497478485107422 +1984,15,1,suicide,21-24 yrs,16,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,20.62945556640625 +1984,15,1,homicide,21-24 yrs,3,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,3.868023157119751 +1984,15,1,other external,21-24 yrs,10,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,12.893409729003906 +1984,15,1,internal,21-24 yrs,24,77559,22.49349594116211,1,NA,1.649999976158142,0.4099999964237213,0.9100000262260437,2.9700000286102295,30.944185256958008 +1985,15,1,MVA,15-17 yrs,11,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,24.124923706054688 +1985,15,1,suicide,15-17 yrs,2,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,4.386349678039551 +1985,15,1,homicide,15-17 yrs,2,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,4.386349678039551 +1985,15,1,other external,15-17 yrs,4,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,8.772699356079102 +1985,15,1,internal,15-17 yrs,10,45596,15.962672233581543,0,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,21.93174934387207 +1985,15,1,all,18-20 yrs,54,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,106.59718322753906 +1985,15,1,MVA,18-20 yrs,22,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,43.42848205566406 +1985,15,1,suicide,18-20 yrs,6,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,11.844131469726562 +1985,15,1,homicide,18-20 yrs,1,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,1.9740219116210938 +1985,15,1,other external,18-20 yrs,10,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,19.740219116210938 +1985,15,1,internal,18-20 yrs,15,50658,19.087568283081055,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,29.610328674316406 +1985,15,1,all,21-24 yrs,58,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,75.49036407470703 +1985,15,1,MVA,21-24 yrs,24,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,31.237390518188477 +1985,15,1,suicide,21-24 yrs,11,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,14.317137718200684 +1985,15,1,homicide,21-24 yrs,5,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,6.507789611816406 +1985,15,1,other external,21-24 yrs,7,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,9.110905647277832 +1985,15,1,internal,21-24 yrs,11,76831,22.456314086914062,1,NA,1.590000033378601,0.4099999964237213,0.8799999952316284,2.880000114440918,14.317137718200684 +1986,15,0.7479451894760132,MVA,15-17 yrs,9,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,19.295499801635742 +1986,15,0.7479451894760132,suicide,15-17 yrs,2,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,4.287889003753662 +1986,15,0.7479451894760132,homicide,15-17 yrs,5,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,10.719721794128418 +1986,15,0.7479451894760132,other external,15-17 yrs,4,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,8.575778007507324 +1986,15,0.7479451894760132,internal,15-17 yrs,12,46643,15.971613883972168,0,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,25.727333068847656 +1986,15,0.7479451894760132,all,18-20 yrs,27,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,55.6769905090332 +1986,15,0.7479451894760132,MVA,18-20 yrs,6,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,12.372664451599121 +1986,15,0.7479451894760132,suicide,18-20 yrs,1,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,2.062110662460327 +1986,15,0.7479451894760132,homicide,18-20 yrs,1,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,2.062110662460327 +1986,15,0.7479451894760132,other external,18-20 yrs,10,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,20.62110710144043 +1986,15,0.7479451894760132,internal,18-20 yrs,9,48494,19.086545944213867,0.7479451894760132,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,18.558996200561523 +1986,15,0.7479451894760132,all,21-24 yrs,74,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,95.071685791015625 +1986,15,0.7479451894760132,MVA,21-24 yrs,21,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,26.97980308532715 +1986,15,0.7479451894760132,suicide,21-24 yrs,15,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,19.27128791809082 +1986,15,0.7479451894760132,homicide,21-24 yrs,6,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,7.708515167236328 +1986,15,0.7479451894760132,other external,21-24 yrs,12,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,15.417030334472656 +1986,15,0.7479451894760132,internal,21-24 yrs,20,77836,22.473894119262695,1,0.739051103591919,1.600000023841858,0.4399999976158142,0.8500000238418579,2.880000114440918,25.695051193237305 +1987,15,0,MVA,15-17 yrs,12,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,25.891084671020508 +1987,15,0,suicide,15-17 yrs,2,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,4.315180778503418 +1987,15,0,homicide,15-17 yrs,3,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,6.472771167755127 +1987,15,0,other external,15-17 yrs,4,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,8.630361557006836 +1987,15,0,internal,15-17 yrs,6,46348,16.01510238647461,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,12.945542335510254 +1987,15,0,all,18-20 yrs,37,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,77.8341064453125 +1987,15,0,MVA,18-20 yrs,11,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,23.139869689941406 +1987,15,0,suicide,18-20 yrs,6,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,12.621747016906738 +1987,15,0,homicide,18-20 yrs,3,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,6.310873508453369 +1987,15,0,other external,18-20 yrs,8,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,16.828996658325195 +1987,15,0,internal,18-20 yrs,9,47537,19.07080841064453,0,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,18.932621002197266 +1987,15,0,all,21-24 yrs,76,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,96.6109848022461 +1987,15,0,MVA,21-24 yrs,24,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,30.50873374938965 +1987,15,0,suicide,21-24 yrs,7,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,8.898380279541016 +1987,15,0,homicide,21-24 yrs,9,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,11.440774917602539 +1987,15,0,other external,21-24 yrs,15,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,19.06795883178711 +1987,15,0,internal,21-24 yrs,21,78666,22.52400016784668,1,0.7130281925201416,1.5700000524520874,0.4000000059604645,0.7599999904632568,2.7300000190734863,26.695140838623047 +1988,15,0,MVA,15-17 yrs,15,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,33.55104064941406 +1988,15,0,suicide,15-17 yrs,4,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,8.946944236755371 +1988,15,0,homicide,15-17 yrs,0,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,0 +1988,15,0,other external,15-17 yrs,6,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,13.420416831970215 +1988,15,0,internal,15-17 yrs,6,44708,16.03426742553711,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,13.420416831970215 +1988,15,0,all,18-20 yrs,47,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,98.40458679199219 +1988,15,0,MVA,18-20 yrs,20,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,41.87429428100586 +1988,15,0,suicide,18-20 yrs,9,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,18.84343147277832 +1988,15,0,homicide,18-20 yrs,1,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,2.093714714050293 +1988,15,0,other external,18-20 yrs,8,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,16.749717712402344 +1988,15,0,internal,18-20 yrs,9,47762,19.047653198242188,0,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,18.84343147277832 +1988,15,0,all,21-24 yrs,60,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,78.5443115234375 +1988,15,0,MVA,21-24 yrs,25,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,32.7267951965332 +1988,15,0,suicide,21-24 yrs,6,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,7.85443115234375 +1988,15,0,homicide,21-24 yrs,3,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,3.927215576171875 +1988,15,0,other external,21-24 yrs,15,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,19.636077880859375 +1988,15,0,internal,21-24 yrs,11,76390,22.540058135986328,1,0.7269653081893921,1.6200000047683716,0.44999998807907104,0.7900000214576721,2.859999895095825,14.39979076385498 +1989,15,0,MVA,15-17 yrs,4,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,9.33118724822998 +1989,15,0,suicide,15-17 yrs,4,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,9.33118724822998 +1989,15,0,homicide,15-17 yrs,0,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,0 +1989,15,0,other external,15-17 yrs,9,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,20.99517059326172 +1989,15,0,internal,15-17 yrs,8,42867,16.020341873168945,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,18.66237449645996 +1989,15,0,all,18-20 yrs,43,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,88.597686767578125 +1989,15,0,MVA,18-20 yrs,18,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,37.08740234375 +1989,15,0,suicide,18-20 yrs,9,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,18.543701171875 +1989,15,0,homicide,18-20 yrs,7,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,14.422879219055176 +1989,15,0,other external,18-20 yrs,3,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,6.181233882904053 +1989,15,0,internal,18-20 yrs,6,48534,19.053714752197266,0,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,12.362467765808105 +1989,15,0,all,21-24 yrs,60,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,80.22999572753906 +1989,15,0,MVA,21-24 yrs,13,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,17.38316535949707 +1989,15,0,suicide,21-24 yrs,4,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,5.348666191101074 +1989,15,0,homicide,21-24 yrs,6,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,8.022998809814453 +1989,15,0,other external,21-24 yrs,13,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,17.38316535949707 +1989,15,0,internal,21-24 yrs,24,74785,22.53502655029297,1,0.6935483813285828,1.5399999618530273,0.4300000071525574,0.7900000214576721,2.759999990463257,32.09199523925781 +1990,15,0,MVA,15-17 yrs,10,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,23.878887176513672 +1990,15,0,suicide,15-17 yrs,3,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,7.163665771484375 +1990,15,0,homicide,15-17 yrs,0,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,0 +1990,15,0,other external,15-17 yrs,3,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,7.163665771484375 +1990,15,0,internal,15-17 yrs,4,41878,16.01270294189453,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,9.551554679870605 +1990,15,0,all,18-20 yrs,51,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,104.33715057373047 +1990,15,0,MVA,18-20 yrs,25,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,51.14566421508789 +1990,15,0,suicide,18-20 yrs,8,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,16.36661148071289 +1990,15,0,homicide,18-20 yrs,1,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,2.0458264350891113 +1990,15,0,other external,18-20 yrs,3,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,6.137479305267334 +1990,15,0,internal,18-20 yrs,14,48880,19.07868194580078,0,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,28.641571044921875 +1990,15,0,all,21-24 yrs,69,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,94.045166015625 +1990,15,0,MVA,21-24 yrs,22,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,29.985416412353516 +1990,15,0,suicide,21-24 yrs,17,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,23.170549392700195 +1990,15,0,homicide,21-24 yrs,8,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,10.903787612915039 +1990,15,0,other external,21-24 yrs,10,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,13.629734992980957 +1990,15,0,internal,21-24 yrs,12,73369,22.518693923950195,1,0.6579954624176025,1.6399999856948853,0.4000000059604645,0.7900000214576721,2.8399999141693115,16.355682373046875 +1991,15,0,MVA,15-17 yrs,4,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,9.476876258850098 +1991,15,0,suicide,15-17 yrs,1,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,2.3692190647125244 +1991,15,0,homicide,15-17 yrs,1,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,2.3692190647125244 +1991,15,0,other external,15-17 yrs,3,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,7.107657432556152 +1991,15,0,internal,15-17 yrs,6,42208,16.01094627380371,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,14.215314865112305 +1991,15,0,all,18-20 yrs,31,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,64.13306427001953 +1991,15,0,MVA,18-20 yrs,11,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,22.756895065307617 +1991,15,0,suicide,18-20 yrs,4,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,8.27523422241211 +1991,15,0,homicide,18-20 yrs,9,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,18.619277954101562 +1991,15,0,other external,18-20 yrs,2,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,4.137617111206055 +1991,15,0,internal,18-20 yrs,5,48337,19.04292869567871,0,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,10.344042778015137 +1991,15,0,all,21-24 yrs,62,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,87.3116455078125 +1991,15,0,MVA,21-24 yrs,16,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,22.53203773498535 +1991,15,0,suicide,21-24 yrs,11,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,15.490776062011719 +1991,15,0,homicide,21-24 yrs,8,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,11.266018867492676 +1991,15,0,other external,21-24 yrs,12,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,16.899028778076172 +1991,15,0,internal,21-24 yrs,15,71010,22.507322311401367,1,0.6314244270324707,1.5700000524520874,0.4000000059604645,0.699999988079071,2.6700000762939453,21.1237850189209 +1992,15,0,MVA,15-17 yrs,3,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,6.901470184326172 +1992,15,0,suicide,15-17 yrs,4,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,9.201959609985352 +1992,15,0,homicide,15-17 yrs,4,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,9.201959609985352 +1992,15,0,other external,15-17 yrs,3,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,6.901470184326172 +1992,15,0,internal,15-17 yrs,5,43469,16.0011043548584,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,11.502449989318848 +1992,15,0,all,18-20 yrs,44,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,89.48545837402344 +1992,15,0,MVA,18-20 yrs,14,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,28.472646713256836 +1992,15,0,suicide,18-20 yrs,5,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,10.168802261352539 +1992,15,0,homicide,18-20 yrs,2,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,4.067520618438721 +1992,15,0,other external,18-20 yrs,8,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,16.270082473754883 +1992,15,0,internal,18-20 yrs,15,49170,19.03758430480957,0,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,30.506406784057617 +1992,15,0,all,21-24 yrs,64,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,92.9341049194336 +1992,15,0,MVA,21-24 yrs,12,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,17.42514419555664 +1992,15,0,suicide,21-24 yrs,15,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,21.781431198120117 +1992,15,0,homicide,21-24 yrs,3,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,4.35628604888916 +1992,15,0,other external,21-24 yrs,10,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,14.520954132080078 +1992,15,0,internal,21-24 yrs,24,68866,22.502351760864258,1,0.6129721999168396,1.5499999523162842,0.38999998569488525,0.6899999976158142,2.630000114440918,34.85028839111328 +1993,15,0,MVA,15-17 yrs,11,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,24.878435134887695 +1993,15,0,suicide,15-17 yrs,2,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,4.523351669311523 +1993,15,0,homicide,15-17 yrs,1,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,2.2616758346557617 +1993,15,0,other external,15-17 yrs,2,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,4.523351669311523 +1993,15,0,internal,15-17 yrs,8,44215,15.997806549072266,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,18.093406677246094 +1993,15,0,all,18-20 yrs,34,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,67.57159423828125 +1993,15,0,MVA,18-20 yrs,8,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,15.899199485778809 +1993,15,0,suicide,18-20 yrs,8,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,15.899199485778809 +1993,15,0,homicide,18-20 yrs,0,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,0 +1993,15,0,other external,18-20 yrs,6,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,11.924399375915527 +1993,15,0,internal,18-20 yrs,12,50317,19.04976463317871,0,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,23.848798751831055 +1993,15,0,all,21-24 yrs,76,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,114.53890228271484 +1993,15,0,MVA,21-24 yrs,25,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,37.67727279663086 +1993,15,0,suicide,21-24 yrs,8,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,12.056726455688477 +1993,15,0,homicide,21-24 yrs,8,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,12.056726455688477 +1993,15,0,other external,21-24 yrs,14,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,21.099271774291992 +1993,15,0,internal,21-24 yrs,21,66353,22.502538681030273,1,0.5951557159423828,1.4900000095367432,0.3700000047683716,0.6499999761581421,2.509999990463257,31.648908615112305 +1994,15,0,MVA,15-17 yrs,8,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,17.60137367248535 +1994,15,0,suicide,15-17 yrs,3,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,6.600514888763428 +1994,15,0,homicide,15-17 yrs,0,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,0 +1994,15,0,other external,15-17 yrs,3,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,6.600514888763428 +1994,15,0,internal,15-17 yrs,13,45451,16.005962371826172,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,28.602230072021484 +1994,15,0,all,18-20 yrs,44,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,87.36572265625 +1994,15,0,MVA,18-20 yrs,13,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,25.81260108947754 +1994,15,0,suicide,18-20 yrs,13,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,25.81260108947754 +1994,15,0,homicide,18-20 yrs,1,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,1.9855846166610718 +1994,15,0,other external,18-20 yrs,5,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,9.927923202514648 +1994,15,0,internal,18-20 yrs,12,50363,19.049877166748047,0,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,23.827014923095703 +1994,15,0,all,21-24 yrs,64,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,97.55205535888672 +1994,15,0,MVA,21-24 yrs,27,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,41.1547737121582 +1994,15,0,suicide,21-24 yrs,5,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,7.621253967285156 +1994,15,0,homicide,21-24 yrs,5,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,7.621253967285156 +1994,15,0,other external,21-24 yrs,9,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,13.718257904052734 +1994,15,0,internal,21-24 yrs,18,65606,22.466360092163086,1,0.5802969336509705,1.4600000381469727,0.3799999952316284,0.6200000047683716,2.4700000286102295,27.43651580810547 +1995,15,0,MVA,15-17 yrs,6,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,12.95308780670166 +1995,15,0,suicide,15-17 yrs,1,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,2.1588480472564697 +1995,15,0,homicide,15-17 yrs,2,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,4.3176960945129395 +1995,15,0,other external,15-17 yrs,2,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,4.3176960945129395 +1995,15,0,internal,15-17 yrs,13,46321,15.990242004394531,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,28.065025329589844 +1995,15,0,all,18-20 yrs,39,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,76.46159362792969 +1995,15,0,MVA,18-20 yrs,14,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,27.447751998901367 +1995,15,0,suicide,18-20 yrs,10,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,19.60553741455078 +1995,15,0,homicide,18-20 yrs,2,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,3.921107292175293 +1995,15,0,other external,18-20 yrs,4,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,7.842214584350586 +1995,15,0,internal,18-20 yrs,9,51006,19.03973960876465,0,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,17.644983291625977 +1995,15,0,all,21-24 yrs,72,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,111.08539581298828 +1995,15,0,MVA,21-24 yrs,20,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,30.857053756713867 +1995,15,0,suicide,21-24 yrs,19,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,29.31420135498047 +1995,15,0,homicide,21-24 yrs,5,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,7.714263439178467 +1995,15,0,other external,21-24 yrs,7,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,10.799968719482422 +1995,15,0,internal,21-24 yrs,21,64815,22.44384765625,1,0.5643044710159302,1.409999966621399,0.3400000035762787,0.5699999928474426,2.319999933242798,32.399906158447266 +1996,15,0,MVA,15-17 yrs,11,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,23.256305694580078 +1996,15,0,suicide,15-17 yrs,2,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,4.228419303894043 +1996,15,0,homicide,15-17 yrs,3,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,6.3426289558410645 +1996,15,0,other external,15-17 yrs,2,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,4.228419303894043 +1996,15,0,internal,15-17 yrs,7,47299,15.996490478515625,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,14.799467086791992 +1996,15,0,all,18-20 yrs,34,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,66.26905059814453 +1996,15,0,MVA,18-20 yrs,15,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,29.236347198486328 +1996,15,0,suicide,18-20 yrs,4,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,7.796359062194824 +1996,15,0,homicide,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,other external,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,internal,18-20 yrs,5,51306,19.03340721130371,0,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,9.74544906616211 +1996,15,0,all,21-24 yrs,65,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,100.21585083007812 +1996,15,0,MVA,21-24 yrs,15,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,23.126733779907227 +1996,15,0,suicide,21-24 yrs,14,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,21.584951400756836 +1996,15,0,homicide,21-24 yrs,4,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,6.167129039764404 +1996,15,0,other external,21-24 yrs,14,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,21.584951400756836 +1996,15,0,internal,21-24 yrs,18,64860,22.4378662109375,1,0.548119843006134,1.399999976158142,0.36000001430511475,0.5799999833106995,2.3399999141693115,27.7520809173584 +1970,16,0.3033171594142914,MVA,15-17 yrs,31,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,65.95884704589844 +1970,16,0.3033171594142914,suicide,15-17 yrs,4,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,8.510819435119629 +1970,16,0.3033171594142914,homicide,15-17 yrs,0,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,0 +1970,16,0.3033171594142914,other external,15-17 yrs,14,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,29.78786849975586 +1970,16,0.3033171594142914,internal,15-17 yrs,16,46999,15.983233451843262,0,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,34.043277740478516 +1970,16,0.3033171594142914,all,18-20 yrs,66,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,169.3219451904297 +1970,16,0.3033171594142914,MVA,18-20 yrs,42,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,107.75032806396484 +1970,16,0.3033171594142914,suicide,18-20 yrs,6,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,15.392904281616211 +1970,16,0.3033171594142914,homicide,18-20 yrs,2,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,5.13096809387207 +1970,16,0.3033171594142914,other external,18-20 yrs,8,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,20.52387237548828 +1970,16,0.3033171594142914,internal,18-20 yrs,8,38979,18.928089141845703,0.3033171594142914,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,20.52387237548828 +1970,16,0.3033171594142914,all,21-24 yrs,68,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,163.53622436523438 +1970,16,0.3033171594142914,MVA,21-24 yrs,28,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,67.33844757080078 +1970,16,0.3033171594142914,suicide,21-24 yrs,8,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,19.23955726623535 +1970,16,0.3033171594142914,homicide,21-24 yrs,3,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,7.214833736419678 +1970,16,0.3033171594142914,other external,21-24 yrs,16,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,38.4791145324707 +1970,16,0.3033171594142914,internal,21-24 yrs,13,41581,22.411943435668945,1,0.38659796118736267,1.2000000476837158,0.10000000149011612,0.75,2.0399999618530273,31.264278411865234 +1971,16,0.2985839247703552,MVA,15-17 yrs,23,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,47.24150848388672 +1971,16,0.2985839247703552,suicide,15-17 yrs,8,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,16.431827545166016 +1971,16,0.2985839247703552,homicide,15-17 yrs,2,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,4.107956886291504 +1971,16,0.2985839247703552,other external,15-17 yrs,16,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,32.86365509033203 +1971,16,0.2985839247703552,internal,15-17 yrs,10,48686,15.995193481445312,0,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,20.539785385131836 +1971,16,0.2985839247703552,all,18-20 yrs,72,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,170.78204345703125 +1971,16,0.2985839247703552,MVA,18-20 yrs,30,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,71.1591796875 +1971,16,0.2985839247703552,suicide,18-20 yrs,12,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,28.463672637939453 +1971,16,0.2985839247703552,homicide,18-20 yrs,1,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,2.3719727993011475 +1971,16,0.2985839247703552,other external,18-20 yrs,19,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,45.067481994628906 +1971,16,0.2985839247703552,internal,18-20 yrs,10,42159,18.935386657714844,0.2985839247703552,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,23.719728469848633 +1971,16,0.2985839247703552,all,21-24 yrs,92,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,194.2813720703125 +1971,16,0.2985839247703552,MVA,21-24 yrs,45,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,95.0289306640625 +1971,16,0.2985839247703552,suicide,21-24 yrs,12,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,25.341049194335938 +1971,16,0.2985839247703552,homicide,21-24 yrs,1,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,2.1117539405822754 +1971,16,0.2985839247703552,other external,21-24 yrs,18,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,38.011573791503906 +1971,16,0.2985839247703552,internal,21-24 yrs,16,47354,22.54466438293457,1,0.37037038803100586,1.2599999904632568,0.25999999046325684,0.7699999809265137,2.2799999713897705,33.788063049316406 +1972,16,0.4767230749130249,MVA,15-17 yrs,24,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,48.098121643066406 +1972,16,0.4767230749130249,suicide,15-17 yrs,4,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,8.016353607177734 +1972,16,0.4767230749130249,homicide,15-17 yrs,2,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,4.008176803588867 +1972,16,0.4767230749130249,other external,15-17 yrs,12,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,24.049060821533203 +1972,16,0.4767230749130249,internal,15-17 yrs,16,49898,15.990460395812988,0,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,32.06541442871094 +1972,16,0.4767230749130249,all,18-20 yrs,78,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,172.13983154296875 +1972,16,0.4767230749130249,MVA,18-20 yrs,42,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,92.69068145751953 +1972,16,0.4767230749130249,suicide,18-20 yrs,6,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,13.241525650024414 +1972,16,0.4767230749130249,homicide,18-20 yrs,2,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,4.413841724395752 +1972,16,0.4767230749130249,other external,18-20 yrs,20,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,44.1384162902832 +1972,16,0.4767230749130249,internal,18-20 yrs,8,45312,18.95069694519043,0.4767230749130249,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,17.655366897583008 +1972,16,0.4767230749130249,all,21-24 yrs,118,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,239.02122497558594 +1972,16,0.4767230749130249,MVA,21-24 yrs,56,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,113.43379974365234 +1972,16,0.4767230749130249,suicide,21-24 yrs,6,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,12.153621673583984 +1972,16,0.4767230749130249,homicide,21-24 yrs,4,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,8.10241413116455 +1972,16,0.4767230749130249,other external,21-24 yrs,32,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,64.8193130493164 +1972,16,0.4767230749130249,internal,21-24 yrs,20,49368,22.524227142333984,1,0.35885170102119446,1.340000033378601,0.27000001072883606,0.75,2.359999895095825,40.5120735168457 +1973,16,0.650275468826294,MVA,15-17 yrs,25,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,49.19322967529297 +1973,16,0.650275468826294,suicide,15-17 yrs,4,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,7.870916843414307 +1973,16,0.650275468826294,homicide,15-17 yrs,2,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,3.9354584217071533 +1973,16,0.650275468826294,other external,15-17 yrs,12,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,23.612751007080078 +1973,16,0.650275468826294,internal,15-17 yrs,8,50820,15.992464065551758,0,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,15.741833686828613 +1973,16,0.650275468826294,all,18-20 yrs,93,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,199.35264587402344 +1973,16,0.650275468826294,MVA,18-20 yrs,45,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,96.46095275878906 +1973,16,0.650275468826294,suicide,18-20 yrs,7,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,15.005037307739258 +1973,16,0.650275468826294,homicide,18-20 yrs,5,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,10.717884063720703 +1973,16,0.650275468826294,other external,18-20 yrs,18,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,38.584381103515625 +1973,16,0.650275468826294,internal,18-20 yrs,18,46651,18.960493087768555,0.650275468826294,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,38.584381103515625 +1973,16,0.650275468826294,all,21-24 yrs,83,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,162.7355194091797 +1973,16,0.650275468826294,MVA,21-24 yrs,50,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,98.033447265625 +1973,16,0.650275468826294,suicide,21-24 yrs,5,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,9.8033447265625 +1973,16,0.650275468826294,homicide,21-24 yrs,1,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,1.960668921470642 +1973,16,0.650275468826294,other external,21-24 yrs,17,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,33.33137130737305 +1973,16,0.650275468826294,internal,21-24 yrs,10,51003,22.50598907470703,1,0.3378378450870514,1.3799999952316284,0.25999999046325684,0.7400000095367432,2.380000114440918,19.606689453125 +1974,16,0.6547979712486267,MVA,15-17 yrs,42,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,80.60491943359375 +1974,16,0.6547979712486267,suicide,15-17 yrs,3,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,5.7574944496154785 +1974,16,0.6547979712486267,homicide,15-17 yrs,1,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,1.919164776802063 +1974,16,0.6547979712486267,other external,15-17 yrs,18,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,34.54496765136719 +1974,16,0.6547979712486267,internal,15-17 yrs,14,52106,15.995279312133789,0,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,26.86830711364746 +1974,16,0.6547979712486267,all,18-20 yrs,68,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,140.1166229248047 +1974,16,0.6547979712486267,MVA,18-20 yrs,40,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,82.42154693603516 +1974,16,0.6547979712486267,suicide,18-20 yrs,7,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,14.4237699508667 +1974,16,0.6547979712486267,homicide,18-20 yrs,0,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,0 +1974,16,0.6547979712486267,other external,18-20 yrs,16,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,32.9686164855957 +1974,16,0.6547979712486267,internal,18-20 yrs,5,48531,18.974407196044922,0.6547979712486267,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,10.302693367004395 +1974,16,0.6547979712486267,all,21-24 yrs,90,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,168.26832580566406 +1974,16,0.6547979712486267,MVA,21-24 yrs,32,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,59.828739166259766 +1974,16,0.6547979712486267,suicide,21-24 yrs,10,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,18.696481704711914 +1974,16,0.6547979712486267,homicide,21-24 yrs,7,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,13.087536811828613 +1974,16,0.6547979712486267,other external,21-24 yrs,21,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,39.262611389160156 +1974,16,0.6547979712486267,internal,21-24 yrs,20,53486,22.47146987915039,1,0.30425965785980225,1.3899999856948853,0.25999999046325684,0.7699999809265137,2.4200000762939453,37.39296340942383 +1975,16,0.6529050469398499,MVA,15-17 yrs,23,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,43.299007415771484 +1975,16,0.6529050469398499,suicide,15-17 yrs,4,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,7.530262470245361 +1975,16,0.6529050469398499,homicide,15-17 yrs,0,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,0 +1975,16,0.6529050469398499,other external,15-17 yrs,17,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,32.00361633300781 +1975,16,0.6529050469398499,internal,15-17 yrs,10,53119,15.990324020385742,0,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,18.825654983520508 +1975,16,0.6529050469398499,all,18-20 yrs,70,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,140.97271728515625 +1975,16,0.6529050469398499,MVA,18-20 yrs,32,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,64.444671630859375 +1975,16,0.6529050469398499,suicide,18-20 yrs,11,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,22.152854919433594 +1975,16,0.6529050469398499,homicide,18-20 yrs,5,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,10.069478988647461 +1975,16,0.6529050469398499,other external,18-20 yrs,13,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,26.180646896362305 +1975,16,0.6529050469398499,internal,18-20 yrs,9,49655,18.970516204833984,0.6529050469398499,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,18.125062942504883 +1975,16,0.6529050469398499,all,21-24 yrs,92,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,161.3242645263672 +1975,16,0.6529050469398499,MVA,21-24 yrs,40,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,70.14098358154297 +1975,16,0.6529050469398499,suicide,21-24 yrs,14,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,24.549345016479492 +1975,16,0.6529050469398499,homicide,21-24 yrs,3,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,5.260573863983154 +1975,16,0.6529050469398499,other external,21-24 yrs,21,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,36.82401657104492 +1975,16,0.6529050469398499,internal,21-24 yrs,14,57028,22.465087890625,1,0.27881041169166565,1.4800000190734863,0.25999999046325684,0.800000011920929,2.549999952316284,24.549345016479492 +1976,16,0.6567410826683044,MVA,15-17 yrs,31,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,56.99576950073242 +1976,16,0.6567410826683044,suicide,15-17 yrs,7,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,12.870013236999512 +1976,16,0.6567410826683044,homicide,15-17 yrs,4,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,7.354292869567871 +1976,16,0.6567410826683044,other external,15-17 yrs,16,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,29.417171478271484 +1976,16,0.6567410826683044,internal,15-17 yrs,7,54390,15.985438346862793,0,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,12.870013236999512 +1976,16,0.6567410826683044,all,18-20 yrs,85,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,167.17474365234375 +1976,16,0.6567410826683044,MVA,18-20 yrs,47,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,92.43779754638672 +1976,16,0.6567410826683044,suicide,18-20 yrs,9,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,17.700855255126953 +1976,16,0.6567410826683044,homicide,18-20 yrs,3,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,5.900285243988037 +1976,16,0.6567410826683044,other external,18-20 yrs,19,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,37.368473052978516 +1976,16,0.6567410826683044,internal,18-20 yrs,7,50845,18.974824905395508,0.6567410826683044,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,13.767332077026367 +1976,16,0.6567410826683044,all,21-24 yrs,101,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,166.84286499023438 +1976,16,0.6567410826683044,MVA,21-24 yrs,38,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,62.77256393432617 +1976,16,0.6567410826683044,suicide,21-24 yrs,20,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,33.03819274902344 +1976,16,0.6567410826683044,homicide,21-24 yrs,7,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,11.563366889953613 +1976,16,0.6567410826683044,other external,21-24 yrs,20,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,33.03819274902344 +1976,16,0.6567410826683044,internal,21-24 yrs,16,60536,22.482059478759766,1,0.26362037658691406,1.5199999809265137,0.27000001072883606,0.7900000214576721,2.5799999237060547,26.430553436279297 +1977,16,0.6584513783454895,MVA,15-17 yrs,26,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,47.3243522644043 +1977,16,0.6584513783454895,suicide,15-17 yrs,5,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,9.100837707519531 +1977,16,0.6584513783454895,homicide,15-17 yrs,0,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,0 +1977,16,0.6584513783454895,other external,15-17 yrs,20,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,36.403350830078125 +1977,16,0.6584513783454895,internal,15-17 yrs,12,54940,15.997834205627441,0,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,21.842008590698242 +1977,16,0.6584513783454895,all,18-20 yrs,96,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,185.27810668945312 +1977,16,0.6584513783454895,MVA,18-20 yrs,49,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,94.56903839111328 +1977,16,0.6584513783454895,suicide,18-20 yrs,7,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,13.509861946105957 +1977,16,0.6584513783454895,homicide,18-20 yrs,2,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,3.8599605560302734 +1977,16,0.6584513783454895,other external,18-20 yrs,27,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,52.10947036743164 +1977,16,0.6584513783454895,internal,18-20 yrs,11,51814,18.98006248474121,0.6584513783454895,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,21.22978401184082 +1977,16,0.6584513783454895,all,21-24 yrs,109,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,172.0301055908203 +1977,16,0.6584513783454895,MVA,21-24 yrs,44,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,69.44335174560547 +1977,16,0.6584513783454895,suicide,21-24 yrs,21,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,33.14341735839844 +1977,16,0.6584513783454895,homicide,21-24 yrs,6,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,9.469547271728516 +1977,16,0.6584513783454895,other external,21-24 yrs,27,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,42.61296463012695 +1977,16,0.6584513783454895,internal,21-24 yrs,11,63361,22.494579315185547,1,0.24752476811408997,1.5,0.2199999988079071,0.7900000214576721,2.5199999809265137,17.360837936401367 +1978,16,0.6571633815765381,MVA,15-17 yrs,31,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,56.642730712890625 +1978,16,0.6571633815765381,suicide,15-17 yrs,7,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,12.79029369354248 +1978,16,0.6571633815765381,homicide,15-17 yrs,1,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,1.8271849155426025 +1978,16,0.6571633815765381,other external,15-17 yrs,10,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,18.271848678588867 +1978,16,0.6571633815765381,internal,15-17 yrs,12,54729,16.015148162841797,0,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,21.926218032836914 +1978,16,0.6571633815765381,all,18-20 yrs,75,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,141.60562133789062 +1978,16,0.6571633815765381,MVA,18-20 yrs,36,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,67.97069549560547 +1978,16,0.6571633815765381,suicide,18-20 yrs,12,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,22.656898498535156 +1978,16,0.6571633815765381,homicide,18-20 yrs,3,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,5.664224624633789 +1978,16,0.6571633815765381,other external,18-20 yrs,14,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,26.433048248291016 +1978,16,0.6571633815765381,internal,18-20 yrs,10,52964,18.97698402404785,0.6571633815765381,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,18.880748748779297 +1978,16,0.6571633815765381,all,21-24 yrs,96,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,145.05015563964844 +1978,16,0.6571633815765381,MVA,21-24 yrs,47,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,71.01414489746094 +1978,16,0.6571633815765381,suicide,21-24 yrs,11,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,16.620330810546875 +1978,16,0.6571633815765381,homicide,21-24 yrs,1,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,1.5109392404556274 +1978,16,0.6571633815765381,other external,21-24 yrs,19,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,28.70784568786621 +1978,16,0.6571633815765381,internal,21-24 yrs,18,66184,22.502477645874023,1,0.2300613671541214,1.5,0.25999999046325684,0.800000011920929,2.559999942779541,27.1969051361084 +1979,16,0.6555962562561035,MVA,15-17 yrs,36,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,67.79788970947266 +1979,16,0.6555962562561035,suicide,15-17 yrs,2,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,3.7665493488311768 +1979,16,0.6555962562561035,homicide,15-17 yrs,0,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,0 +1979,16,0.6555962562561035,other external,15-17 yrs,13,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,24.48257064819336 +1979,16,0.6555962562561035,internal,15-17 yrs,7,53099,16.018098831176758,0,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,13.18292236328125 +1979,16,0.6555962562561035,all,18-20 yrs,90,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,167.3577880859375 +1979,16,0.6555962562561035,MVA,18-20 yrs,42,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,78.10030364990234 +1979,16,0.6555962562561035,suicide,18-20 yrs,7,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,13.016716957092285 +1979,16,0.6555962562561035,homicide,18-20 yrs,6,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,11.157186508178711 +1979,16,0.6555962562561035,other external,18-20 yrs,24,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,44.628746032714844 +1979,16,0.6555962562561035,internal,18-20 yrs,11,53777,18.973186492919922,0.6555962562561035,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,20.45484161376953 +1979,16,0.6555962562561035,all,21-24 yrs,99,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,146.62539672851562 +1979,16,0.6555962562561035,MVA,21-24 yrs,41,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,60.72364807128906 +1979,16,0.6555962562561035,suicide,21-24 yrs,14,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,20.73490333557129 +1979,16,0.6555962562561035,homicide,21-24 yrs,6,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,8.886387825012207 +1979,16,0.6555962562561035,other external,21-24 yrs,21,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,31.10235595703125 +1979,16,0.6555962562561035,internal,21-24 yrs,17,67519,22.503236770629883,1,0.20661158859729767,1.5499999523162842,0.27000001072883606,0.8399999737739563,2.6500000953674316,25.178098678588867 +1980,16,0.669771134853363,MVA,15-17 yrs,25,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,49.116878509521484 +1980,16,0.669771134853363,suicide,15-17 yrs,5,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,9.823375701904297 +1980,16,0.669771134853363,homicide,15-17 yrs,1,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,1.9646751880645752 +1980,16,0.669771134853363,other external,15-17 yrs,10,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,19.646751403808594 +1980,16,0.669771134853363,internal,15-17 yrs,4,50899,16.024263381958008,0,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,7.858700752258301 +1980,16,0.669771134853363,all,18-20 yrs,78,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,143.2822723388672 +1980,16,0.669771134853363,MVA,18-20 yrs,40,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,73.47808837890625 +1980,16,0.669771134853363,suicide,18-20 yrs,8,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,14.695616722106934 +1980,16,0.669771134853363,homicide,18-20 yrs,4,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,7.347808361053467 +1980,16,0.669771134853363,other external,18-20 yrs,14,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,25.717329025268555 +1980,16,0.669771134853363,internal,18-20 yrs,12,54438,18.99502182006836,0.669771134853363,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,22.043424606323242 +1980,16,0.669771134853363,all,21-24 yrs,93,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,135.6100311279297 +1980,16,0.669771134853363,MVA,21-24 yrs,38,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,55.41054916381836 +1980,16,0.669771134853363,suicide,21-24 yrs,17,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,24.788928985595703 +1980,16,0.669771134853363,homicide,21-24 yrs,4,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,5.83268928527832 +1980,16,0.669771134853363,other external,21-24 yrs,18,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,26.247102737426758 +1980,16,0.669771134853363,internal,21-24 yrs,16,68579,22.495866775512695,1,0.18203884363174438,1.5299999713897705,0.30000001192092896,0.7699999809265137,2.5999999046325684,23.33075714111328 +1981,16,0.6823740601539612,MVA,15-17 yrs,22,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,44.763668060302734 +1981,16,0.6823740601539612,suicide,15-17 yrs,6,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,12.208272933959961 +1981,16,0.6823740601539612,homicide,15-17 yrs,0,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,0 +1981,16,0.6823740601539612,other external,15-17 yrs,12,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,24.416545867919922 +1981,16,0.6823740601539612,internal,15-17 yrs,8,49147,16.021934509277344,0,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,16.27769660949707 +1981,16,0.6823740601539612,all,18-20 yrs,82,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,151.7085723876953 +1981,16,0.6823740601539612,MVA,18-20 yrs,32,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,59.203346252441406 +1981,16,0.6823740601539612,suicide,18-20 yrs,22,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,40.702301025390625 +1981,16,0.6823740601539612,homicide,18-20 yrs,4,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,7.400418281555176 +1981,16,0.6823740601539612,other external,18-20 yrs,12,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,22.20125389099121 +1981,16,0.6823740601539612,internal,18-20 yrs,12,54051,19.022533416748047,0.6823740601539612,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,22.20125389099121 +1981,16,0.6823740601539612,all,21-24 yrs,88,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,129.13450622558594 +1981,16,0.6823740601539612,MVA,21-24 yrs,44,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,64.56725311279297 +1981,16,0.6823740601539612,suicide,21-24 yrs,16,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,23.479000091552734 +1981,16,0.6823740601539612,homicide,21-24 yrs,6,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,8.804625511169434 +1981,16,0.6823740601539612,other external,21-24 yrs,8,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,11.739500045776367 +1981,16,0.6823740601539612,internal,21-24 yrs,14,68146,22.501819610595703,1,0.16501650214195251,1.5399999618530273,0.33000001311302185,0.8299999833106995,2.700000047683716,20.544126510620117 +1982,16,0.6812741160392761,MVA,15-17 yrs,28,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,58.41365051269531 +1982,16,0.6812741160392761,suicide,15-17 yrs,4,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.344807624816895 +1982,16,0.6812741160392761,homicide,15-17 yrs,2,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,4.172403812408447 +1982,16,0.6812741160392761,other external,15-17 yrs,10,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,20.862018585205078 +1982,16,0.6812741160392761,internal,15-17 yrs,4,47934,16.006216049194336,0,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.344807624816895 +1982,16,0.6812741160392761,all,18-20 yrs,40,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,76.84770965576172 +1982,16,0.6812741160392761,MVA,18-20 yrs,24,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,46.10862350463867 +1982,16,0.6812741160392761,suicide,18-20 yrs,4,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,7.684770584106445 +1982,16,0.6812741160392761,homicide,18-20 yrs,0,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,0 +1982,16,0.6812741160392761,other external,18-20 yrs,4,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,7.684770584106445 +1982,16,0.6812741160392761,internal,18-20 yrs,8,52051,19.025360107421875,0.6812741160392761,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,15.36954116821289 +1982,16,0.6812741160392761,all,21-24 yrs,68,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,100.3793716430664 +1982,16,0.6812741160392761,MVA,21-24 yrs,40,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,59.04669189453125 +1982,16,0.6812741160392761,suicide,21-24 yrs,10,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,14.761672973632812 +1982,16,0.6812741160392761,homicide,21-24 yrs,4,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,5.904669284820557 +1982,16,0.6812741160392761,other external,21-24 yrs,8,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,11.809338569641113 +1982,16,0.6812741160392761,internal,21-24 yrs,6,67743,22.481111526489258,1,0.15544041991233826,1.4700000286102295,0.3100000023841858,0.8100000023841858,2.5799999237060547,8.857003211975098 +1983,16,0.6819021105766296,MVA,15-17 yrs,13,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,27.5955753326416 +1983,16,0.6819021105766296,suicide,15-17 yrs,4,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,8.490946769714355 +1983,16,0.6819021105766296,homicide,15-17 yrs,2,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,4.245473384857178 +1983,16,0.6819021105766296,other external,15-17 yrs,8,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,16.98189353942871 +1983,16,0.6819021105766296,internal,15-17 yrs,5,47109,15.99893856048584,0,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,10.613682746887207 +1983,16,0.6819021105766296,all,18-20 yrs,70,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,140.51145935058594 +1983,16,0.6819021105766296,MVA,18-20 yrs,38,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,76.27764892578125 +1983,16,0.6819021105766296,suicide,18-20 yrs,11,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,22.080371856689453 +1983,16,0.6819021105766296,homicide,18-20 yrs,2,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,4.014613151550293 +1983,16,0.6819021105766296,other external,18-20 yrs,12,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,24.087678909301758 +1983,16,0.6819021105766296,internal,18-20 yrs,7,49818,19.023164749145508,0.6819021105766296,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,14.051146507263184 +1983,16,0.6819021105766296,all,21-24 yrs,93,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,137.80023193359375 +1983,16,0.6819021105766296,MVA,21-24 yrs,35,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,51.86030197143555 +1983,16,0.6819021105766296,suicide,21-24 yrs,12,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,17.780675888061523 +1983,16,0.6819021105766296,homicide,21-24 yrs,2,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,2.9634459018707275 +1983,16,0.6819021105766296,other external,21-24 yrs,21,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,31.116182327270508 +1983,16,0.6819021105766296,internal,21-24 yrs,23,67489,22.47794532775879,1,0.15060241520404816,1.440000057220459,0.30000001192092896,0.7599999904632568,2.509999990463257,34.079627990722656 +1984,16,0.678615391254425,MVA,15-17 yrs,26,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,54.76220703125 +1984,16,0.678615391254425,suicide,15-17 yrs,7,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,14.743670463562012 +1984,16,0.678615391254425,homicide,15-17 yrs,2,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,4.212477207183838 +1984,16,0.678615391254425,other external,15-17 yrs,12,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,25.274864196777344 +1984,16,0.678615391254425,internal,15-17 yrs,10,47478,15.989215850830078,0,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,21.062387466430664 +1984,16,0.678615391254425,all,18-20 yrs,53,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,110.64949035644531 +1984,16,0.678615391254425,MVA,18-20 yrs,25,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,52.19315719604492 +1984,16,0.678615391254425,suicide,18-20 yrs,9,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,18.789535522460938 +1984,16,0.678615391254425,homicide,18-20 yrs,1,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,2.087726354598999 +1984,16,0.678615391254425,other external,18-20 yrs,12,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,25.052715301513672 +1984,16,0.678615391254425,internal,18-20 yrs,6,47899,19.01945686340332,0.678615391254425,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,12.526357650756836 +1984,16,0.678615391254425,all,21-24 yrs,77,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,115.92544555664062 +1984,16,0.678615391254425,MVA,21-24 yrs,32,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,48.17680740356445 +1984,16,0.678615391254425,suicide,21-24 yrs,22,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,33.12155532836914 +1984,16,0.678615391254425,homicide,21-24 yrs,2,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,3.0110504627227783 +1984,16,0.678615391254425,other external,21-24 yrs,11,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,16.56077766418457 +1984,16,0.678615391254425,internal,21-24 yrs,10,66422,22.50279998779297,1,0.14436958730220795,1.399999976158142,0.3100000023841858,0.7200000286102295,2.430000066757202,15.055253028869629 +1985,16,0.668756902217865,MVA,15-17 yrs,17,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,35.38496780395508 +1985,16,0.668756902217865,suicide,15-17 yrs,5,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,10.407343864440918 +1985,16,0.668756902217865,homicide,15-17 yrs,0,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,0 +1985,16,0.668756902217865,other external,15-17 yrs,7,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,14.570281028747559 +1985,16,0.668756902217865,internal,15-17 yrs,5,48043,15.980101585388184,0,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,10.407343864440918 +1985,16,0.668756902217865,all,18-20 yrs,59,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,127.57584381103516 +1985,16,0.668756902217865,MVA,18-20 yrs,40,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,86.492095947265625 +1985,16,0.668756902217865,suicide,18-20 yrs,4,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,8.649209976196289 +1985,16,0.668756902217865,homicide,18-20 yrs,0,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,0 +1985,16,0.668756902217865,other external,18-20 yrs,8,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,17.298419952392578 +1985,16,0.668756902217865,internal,18-20 yrs,7,46247,19.000864028930664,0.668756902217865,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,15.136116981506348 +1985,16,0.668756902217865,all,21-24 yrs,73,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,113.4421157836914 +1985,16,0.668756902217865,MVA,21-24 yrs,27,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,41.95804214477539 +1985,16,0.668756902217865,suicide,21-24 yrs,19,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,29.526029586791992 +1985,16,0.668756902217865,homicide,21-24 yrs,2,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,3.1080031394958496 +1985,16,0.668756902217865,other external,21-24 yrs,14,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,21.75602149963379 +1985,16,0.668756902217865,internal,21-24 yrs,11,64350,22.534513473510742,1,0.13940520584583282,1.350000023841858,0.36000001430511475,0.7099999785423279,2.4200000762939453,17.094017028808594 +1986,16,0.664462685585022,MVA,15-17 yrs,34,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,69.10428619384766 +1986,16,0.664462685585022,suicide,15-17 yrs,4,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,8.129916191101074 +1986,16,0.664462685585022,homicide,15-17 yrs,2,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,4.064958095550537 +1986,16,0.664462685585022,other external,15-17 yrs,5,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,10.162395477294922 +1986,16,0.664462685585022,internal,15-17 yrs,6,49201,15.973638534545898,0,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,12.194873809814453 +1986,16,0.664462685585022,all,18-20 yrs,61,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,135.8000030517578 +1986,16,0.664462685585022,MVA,18-20 yrs,33,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,73.46556854248047 +1986,16,0.664462685585022,suicide,18-20 yrs,11,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,24.488523483276367 +1986,16,0.664462685585022,homicide,18-20 yrs,3,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,6.6786885261535645 +1986,16,0.664462685585022,other external,18-20 yrs,8,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,17.80983543395996 +1986,16,0.664462685585022,internal,18-20 yrs,6,44919,18.988758087158203,0.664462685585022,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,13.357377052307129 +1986,16,0.664462685585022,all,21-24 yrs,80,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,132.37362670898438 +1986,16,0.664462685585022,MVA,21-24 yrs,35,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,57.91345977783203 +1986,16,0.664462685585022,suicide,21-24 yrs,18,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,29.78406524658203 +1986,16,0.664462685585022,homicide,21-24 yrs,2,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,3.309340715408325 +1986,16,0.664462685585022,other external,21-24 yrs,10,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,16.546703338623047 +1986,16,0.664462685585022,internal,21-24 yrs,15,60435,22.54352569580078,1,0.13686132431030273,1.340000033378601,0.3799999952316284,0.6100000143051147,2.3299999237060547,24.82005500793457 +1987,16,0.5597094297409058,MVA,15-17 yrs,22,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,45.15692138671875 +1987,16,0.5597094297409058,suicide,15-17 yrs,5,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.26293659210205 +1987,16,0.5597094297409058,homicide,15-17 yrs,1,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,2.0525872707366943 +1987,16,0.5597094297409058,other external,15-17 yrs,6,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,12.315524101257324 +1987,16,0.5597094297409058,internal,15-17 yrs,5,48719,16.00613784790039,0,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.26293659210205 +1987,16,0.5597094297409058,all,18-20 yrs,59,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,132.49197387695312 +1987,16,0.5597094297409058,MVA,18-20 yrs,34,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,76.35130310058594 +1987,16,0.5597094297409058,suicide,18-20 yrs,10,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,22.456266403198242 +1987,16,0.5597094297409058,homicide,18-20 yrs,3,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,6.736879825592041 +1987,16,0.5597094297409058,other external,18-20 yrs,6,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,13.473759651184082 +1987,16,0.5597094297409058,internal,18-20 yrs,6,44531,18.97469139099121,0.5597094297409058,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,13.473759651184082 +1987,16,0.5597094297409058,all,21-24 yrs,82,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,145.5035858154297 +1987,16,0.5597094297409058,MVA,21-24 yrs,38,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,67.4284896850586 +1987,16,0.5597094297409058,suicide,21-24 yrs,19,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,33.7142448425293 +1987,16,0.5597094297409058,homicide,21-24 yrs,6,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,10.64660358428955 +1987,16,0.5597094297409058,other external,21-24 yrs,11,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,19.518774032592773 +1987,16,0.5597094297409058,internal,21-24 yrs,8,56356,22.535240173339844,1,0.13204225897789001,1.309999942779541,0.3799999952316284,0.5799999833106995,2.259999990463257,14.19547176361084 +1988,16,0.23209723830223083,MVA,15-17 yrs,23,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,47.99666213989258 +1988,16,0.23209723830223083,suicide,15-17 yrs,4,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,8.347245216369629 +1988,16,0.23209723830223083,homicide,15-17 yrs,2,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,4.1736226081848145 +1988,16,0.23209723830223083,other external,15-17 yrs,13,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,27.12854766845703 +1988,16,0.23209723830223083,internal,15-17 yrs,7,47920,16.029695510864258,0,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,14.60767936706543 +1988,16,0.23209723830223083,all,18-20 yrs,60,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,133.64219665527344 +1988,16,0.23209723830223083,MVA,18-20 yrs,28,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,62.36635971069336 +1988,16,0.23209723830223083,suicide,18-20 yrs,11,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,24.501070022583008 +1988,16,0.23209723830223083,homicide,18-20 yrs,2,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,4.454740047454834 +1988,16,0.23209723830223083,other external,18-20 yrs,12,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,26.728439331054688 +1988,16,0.23209723830223083,internal,18-20 yrs,7,44896,18.96021842956543,0.23209723830223083,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,15.59158992767334 +1988,16,0.23209723830223083,all,21-24 yrs,72,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,134.6776123046875 +1988,16,0.23209723830223083,MVA,21-24 yrs,32,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,59.85671615600586 +1988,16,0.23209723830223083,suicide,21-24 yrs,15,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,28.057836532592773 +1988,16,0.23209723830223083,homicide,21-24 yrs,2,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,3.741044759750366 +1988,16,0.23209723830223083,other external,21-24 yrs,11,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,20.575746536254883 +1988,16,0.23209723830223083,internal,21-24 yrs,12,53461,22.51830291748047,1,0.12679627537727356,1.25,0.36000001430511475,0.5799999833106995,2.180000066757202,22.446269989013672 +1989,16,0.009418897330760956,MVA,15-17 yrs,22,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,46.6259765625 +1989,16,0.009418897330760956,suicide,15-17 yrs,11,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,23.31298828125 +1989,16,0.009418897330760956,homicide,15-17 yrs,0,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,15-17 yrs,5,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,10.59681224822998 +1989,16,0.009418897330760956,internal,15-17 yrs,2,47184,16.002586364746094,0,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,4.238725185394287 +1989,16,0.009418897330760956,all,18-20 yrs,44,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,94.72347259521484 +1989,16,0.009418897330760956,MVA,18-20 yrs,23,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,49.51454162597656 +1989,16,0.009418897330760956,suicide,18-20 yrs,7,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,15.069643020629883 +1989,16,0.009418897330760956,homicide,18-20 yrs,0,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,18-20 yrs,10,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,21.528060913085938 +1989,16,0.009418897330760956,internal,18-20 yrs,4,46451,18.95098114013672,0.009418897330760956,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,8.611225128173828 +1989,16,0.009418897330760956,all,21-24 yrs,59,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,114.40538024902344 +1989,16,0.009418897330760956,MVA,21-24 yrs,20,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,38.78148651123047 +1989,16,0.009418897330760956,suicide,21-24 yrs,16,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,31.025188446044922 +1989,16,0.009418897330760956,homicide,21-24 yrs,0,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,0 +1989,16,0.009418897330760956,other external,21-24 yrs,7,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,13.573519706726074 +1989,16,0.009418897330760956,internal,21-24 yrs,16,51571,22.49607276916504,1,0.12096774578094482,1.2300000190734863,0.30000001192092896,0.5600000023841858,2.0899999141693115,31.025188446044922 +1990,16,0,MVA,15-17 yrs,20,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,40.89979553222656 +1990,16,0,suicide,15-17 yrs,12,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,24.53987693786621 +1990,16,0,homicide,15-17 yrs,1,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,2.044989824295044 +1990,16,0,other external,15-17 yrs,7,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,14.31492805480957 +1990,16,0,internal,15-17 yrs,4,48900,15.975460052490234,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,8.179959297180176 +1990,16,0,all,18-20 yrs,62,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,130.5015869140625 +1990,16,0,MVA,18-20 yrs,28,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,58.93620300292969 +1990,16,0,suicide,18-20 yrs,13,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,27.363237380981445 +1990,16,0,homicide,18-20 yrs,3,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,6.3145928382873535 +1990,16,0,other external,18-20 yrs,10,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,21.048643112182617 +1990,16,0,internal,18-20 yrs,8,47509,18.984676361083984,0,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,16.83891487121582 +1990,16,0,all,21-24 yrs,48,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,93.5982666015625 +1990,16,0,MVA,21-24 yrs,21,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,40.949241638183594 +1990,16,0,suicide,21-24 yrs,11,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,21.449604034423828 +1990,16,0,homicide,21-24 yrs,2,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,3.899927854537964 +1990,16,0,other external,21-24 yrs,10,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,19.4996395111084 +1990,16,0,internal,21-24 yrs,4,51283,22.469181060791016,1,0.11476664990186691,1.3600000143051147,0.33000001311302185,0.5799999833106995,2.2699999809265137,7.799855709075928 +1991,16,0,MVA,15-17 yrs,18,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,35.26162338256836 +1991,16,0,suicide,15-17 yrs,11,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,21.548768997192383 +1991,16,0,homicide,15-17 yrs,1,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,1.9589790105819702 +1991,16,0,other external,15-17 yrs,8,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,15.671832084655762 +1991,16,0,internal,15-17 yrs,3,51047,15.98855972290039,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,5.876936912536621 +1991,16,0,all,18-20 yrs,47,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,94.82688903808594 +1991,16,0,MVA,18-20 yrs,27,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,54.47502136230469 +1991,16,0,suicide,18-20 yrs,8,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,16.1407470703125 +1991,16,0,homicide,18-20 yrs,1,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,2.0175933837890625 +1991,16,0,other external,18-20 yrs,5,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,10.087966918945312 +1991,16,0,internal,18-20 yrs,6,49564,19.01781463623047,0,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,12.105560302734375 +1991,16,0,all,21-24 yrs,66,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,122.42853546142578 +1991,16,0,MVA,21-24 yrs,20,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,37.09955596923828 +1991,16,0,suicide,21-24 yrs,20,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,37.09955596923828 +1991,16,0,homicide,21-24 yrs,4,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,7.4199113845825195 +1991,16,0,other external,21-24 yrs,10,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,18.54977798461914 +1991,16,0,internal,21-24 yrs,12,53909,22.437644958496094,1,0.11013216525316238,1.309999942779541,0.3199999928474426,0.5600000023841858,2.190000057220459,22.259733200073242 +1992,16,0,MVA,15-17 yrs,16,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,29.35187339782715 +1992,16,0,suicide,15-17 yrs,7,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,12.841444969177246 +1992,16,0,homicide,15-17 yrs,1,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,1.8344920873641968 +1992,16,0,other external,15-17 yrs,10,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,18.344921112060547 +1992,16,0,internal,15-17 yrs,13,54511,15.98613166809082,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,23.848398208618164 +1992,16,0,all,18-20 yrs,48,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,95.270233154296875 +1992,16,0,MVA,18-20 yrs,22,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,43.665523529052734 +1992,16,0,suicide,18-20 yrs,11,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,21.832761764526367 +1992,16,0,homicide,18-20 yrs,3,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,5.954389572143555 +1992,16,0,other external,18-20 yrs,7,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,13.893575668334961 +1992,16,0,internal,18-20 yrs,5,50383,19.005338668823242,0,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,9.923982620239258 +1992,16,0,all,21-24 yrs,56,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,97.004974365234375 +1992,16,0,MVA,21-24 yrs,21,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,36.37686538696289 +1992,16,0,suicide,21-24 yrs,14,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,24.251243591308594 +1992,16,0,homicide,21-24 yrs,5,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,8.661158561706543 +1992,16,0,other external,21-24 yrs,11,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,19.054548263549805 +1992,16,0,internal,21-24 yrs,5,57729,22.39971160888672,1,0.10691376030445099,1.3200000524520874,0.3100000023841858,0.5699999928474426,2.200000047683716,8.661158561706543 +1993,16,0,MVA,15-17 yrs,23,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,40.05921936035156 +1993,16,0,suicide,15-17 yrs,15,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,26.12557601928711 +1993,16,0,homicide,15-17 yrs,2,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,3.483410358428955 +1993,16,0,other external,15-17 yrs,8,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,13.93364143371582 +1993,16,0,internal,15-17 yrs,8,57415,15.988348007202148,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,13.93364143371582 +1993,16,0,all,18-20 yrs,47,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,88.6541519165039 +1993,16,0,MVA,18-20 yrs,20,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,37.72517395019531 +1993,16,0,suicide,18-20 yrs,6,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,11.317551612854004 +1993,16,0,homicide,18-20 yrs,1,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,1.886258602142334 +1993,16,0,other external,18-20 yrs,8,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,15.090068817138672 +1993,16,0,internal,18-20 yrs,12,53015,18.978025436401367,0,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,22.635103225708008 +1993,16,0,all,21-24 yrs,61,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,98.9906234741211 +1993,16,0,MVA,21-24 yrs,23,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,37.32433319091797 +1993,16,0,suicide,21-24 yrs,20,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,32.45594024658203 +1993,16,0,homicide,21-24 yrs,2,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,3.245594024658203 +1993,16,0,other external,21-24 yrs,5,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,8.113985061645508 +1993,16,0,internal,21-24 yrs,11,61622,22.415403366088867,1,0.10380623489618301,1.2599999904632568,0.28999999165534973,0.550000011920929,2.109999895095825,17.850767135620117 +1994,16,0,MVA,15-17 yrs,23,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,37.62535095214844 +1994,16,0,suicide,15-17 yrs,14,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,22.902387619018555 +1994,16,0,homicide,15-17 yrs,4,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,6.543539047241211 +1994,16,0,other external,15-17 yrs,12,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,19.630617141723633 +1994,16,0,internal,15-17 yrs,9,61129,15.996761322021484,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,14.722963333129883 +1994,16,0,all,18-20 yrs,43,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,76.818634033203125 +1994,16,0,MVA,18-20 yrs,16,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,28.58367919921875 +1994,16,0,suicide,18-20 yrs,8,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,14.291839599609375 +1994,16,0,homicide,18-20 yrs,3,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,5.359439849853516 +1994,16,0,other external,18-20 yrs,9,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,16.078319549560547 +1994,16,0,internal,18-20 yrs,7,55976,18.981760025024414,0,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,12.505359649658203 +1994,16,0,all,21-24 yrs,67,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,103.95816802978516 +1994,16,0,MVA,21-24 yrs,19,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,29.480674743652344 +1994,16,0,suicide,21-24 yrs,12,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,18.619373321533203 +1994,16,0,homicide,21-24 yrs,4,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,6.206457614898682 +1994,16,0,other external,21-24 yrs,18,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,27.929059982299805 +1994,16,0,internal,21-24 yrs,14,64449,22.459882736206055,1,0.10121458023786545,1.2400000095367432,0.3499999940395355,0.5299999713897705,2.119999885559082,21.72260284423828 +1995,16,0,MVA,15-17 yrs,24,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,37.737037658691406 +1995,16,0,suicide,15-17 yrs,6,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,9.434259414672852 +1995,16,0,homicide,15-17 yrs,1,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,1.5723764896392822 +1995,16,0,other external,15-17 yrs,14,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,22.01327133178711 +1995,16,0,internal,15-17 yrs,9,63598,15.991540908813477,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,14.151388168334961 +1995,16,0,all,18-20 yrs,66,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,110.31808471679688 +1995,16,0,MVA,18-20 yrs,34,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,56.830528259277344 +1995,16,0,suicide,18-20 yrs,9,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,15.043375015258789 +1995,16,0,homicide,18-20 yrs,5,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,8.357430458068848 +1995,16,0,other external,18-20 yrs,10,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,16.714860916137695 +1995,16,0,internal,18-20 yrs,8,59827,18.978973388671875,0,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,13.371889114379883 +1995,16,0,all,21-24 yrs,64,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,96.08455657958984 +1995,16,0,MVA,21-24 yrs,26,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,39.03435134887695 +1995,16,0,suicide,21-24 yrs,18,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,27.023780822753906 +1995,16,0,homicide,21-24 yrs,2,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,3.0026423931121826 +1995,16,0,other external,21-24 yrs,8,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,12.01056957244873 +1995,16,0,internal,21-24 yrs,10,66608,22.48013687133789,1,0.09842520207166672,1.149999976158142,0.30000001192092896,0.5299999713897705,1.9800000190734863,15.013211250305176 +1996,16,0,MVA,15-17 yrs,24,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,36.747257232666016 +1996,16,0,suicide,15-17 yrs,8,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,12.249085426330566 +1996,16,0,homicide,15-17 yrs,4,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,6.124542713165283 +1996,16,0,other external,15-17 yrs,8,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,12.249085426330566 +1996,16,0,internal,15-17 yrs,7,65311,16.008651733398438,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,10.717949867248535 +1996,16,0,all,18-20 yrs,69,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,111.0753402709961 +1996,16,0,MVA,18-20 yrs,32,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,51.51319885253906 +1996,16,0,suicide,18-20 yrs,12,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,19.31744956970215 +1996,16,0,homicide,18-20 yrs,10,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,16.097875595092773 +1996,16,0,other external,18-20 yrs,9,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,14.48808765411377 +1996,16,0,internal,18-20 yrs,6,62120,18.980440139770508,0,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,9.658724784851074 +1996,16,0,all,21-24 yrs,45,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,66.26612854003906 +1996,16,0,MVA,21-24 yrs,20,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,29.451610565185547 +1996,16,0,suicide,21-24 yrs,6,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,8.83548355102539 +1996,16,0,homicide,21-24 yrs,2,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,2.9451611042022705 +1996,16,0,other external,21-24 yrs,7,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,10.308063507080078 +1996,16,0,internal,21-24 yrs,10,67908,22.44373321533203,1,0.09560230374336243,1.1799999475479126,0.30000001192092896,0.5099999904632568,1.9800000190734863,14.725805282592773 +1970,17,0,MVA,15-17 yrs,158,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.26148796081543 +1970,17,0,suicide,15-17 yrs,19,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,3.037773847579956 +1970,17,0,homicide,15-17 yrs,69,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,11.031915664672852 +1970,17,0,other external,15-17 yrs,113,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,18.066761016845703 +1970,17,0,internal,15-17 yrs,159,625458,15.979509353637695,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.421371459960938 +1970,17,0,all,18-20 yrs,751,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,133.7176971435547 +1970,17,0,MVA,18-20 yrs,255,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,45.40347671508789 +1970,17,0,suicide,18-20 yrs,44,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,7.834325313568115 +1970,17,0,homicide,18-20 yrs,114,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,20.298025131225586 +1970,17,0,other external,18-20 yrs,144,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,25.639610290527344 +1970,17,0,internal,18-20 yrs,194,561631,18.959392547607422,0,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,34.54225158691406 +1970,17,0,all,21-24 yrs,967,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,144.79689025878906 +1970,17,0,MVA,21-24 yrs,274,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,41.028282165527344 +1970,17,0,suicide,21-24 yrs,63,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,9.433509826660156 +1970,17,0,homicide,21-24 yrs,146,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,21.861785888671875 +1970,17,0,other external,21-24 yrs,181,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,27.102624893188477 +1970,17,0,internal,21-24 yrs,303,667832,22.455825805664062,1,0.1804123818874359,1.2100000381469727,0.27000001072883606,1.340000033378601,2.819999933242798,45.37069320678711 +1971,17,0,MVA,15-17 yrs,170,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,26.543296813964844 +1971,17,0,suicide,15-17 yrs,26,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,4.059563159942627 +1971,17,0,homicide,15-17 yrs,70,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,10.929593086242676 +1971,17,0,other external,15-17 yrs,126,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,19.673267364501953 +1971,17,0,internal,15-17 yrs,162,640463,15.982205390930176,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,25.294200897216797 +1971,17,0,all,18-20 yrs,767,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,130.7254180908203 +1971,17,0,MVA,18-20 yrs,299,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,50.96075439453125 +1971,17,0,suicide,18-20 yrs,34,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,5.794868469238281 +1971,17,0,homicide,18-20 yrs,108,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,18.407228469848633 +1971,17,0,other external,18-20 yrs,115,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,19.600290298461914 +1971,17,0,internal,18-20 yrs,211,586726,18.986282348632812,0,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,35.96227264404297 +1971,17,0,all,21-24 yrs,967,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,135.0145721435547 +1971,17,0,MVA,21-24 yrs,264,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,36.860233306884766 +1971,17,0,suicide,21-24 yrs,62,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,8.6565704345703125 +1971,17,0,homicide,21-24 yrs,150,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,20.943315505981445 +1971,17,0,other external,21-24 yrs,162,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,22.6187801361084 +1971,17,0,internal,21-24 yrs,329,716219,22.552352905273438,1,0.17283950746059418,1.2200000286102295,0.3199999928474426,1.3899999856948853,2.9200000762939453,45.9356689453125 +1972,17,0,MVA,15-17 yrs,142,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,21.64858627319336 +1972,17,0,suicide,15-17 yrs,26,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,3.9638254642486572 +1972,17,0,homicide,15-17 yrs,64,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,9.757108688354492 +1972,17,0,other external,15-17 yrs,114,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,17.379850387573242 +1972,17,0,internal,15-17 yrs,108,655932,15.97755241394043,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,16.46512222290039 +1972,17,0,all,18-20 yrs,694,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,115.58902740478516 +1972,17,0,MVA,18-20 yrs,242,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,40.30625915527344 +1972,17,0,suicide,18-20 yrs,46,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,7.661520481109619 +1972,17,0,homicide,18-20 yrs,116,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,19.320356369018555 +1972,17,0,other external,18-20 yrs,120,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,19.986576080322266 +1972,17,0,internal,18-20 yrs,170,600403,18.992748260498047,0,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,28.314315795898438 +1972,17,0,all,21-24 yrs,992,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,137.2003936767578 +1972,17,0,MVA,21-24 yrs,280,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,38.72591781616211 +1972,17,0,suicide,21-24 yrs,84,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,11.617774963378906 +1972,17,0,homicide,21-24 yrs,176,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,24.342004776000977 +1972,17,0,other external,21-24 yrs,180,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,24.895233154296875 +1972,17,0,internal,21-24 yrs,272,723030,22.474979400634766,1,0.16746412217617035,1.2100000381469727,0.3100000023841858,1.3300000429153442,2.8499999046325684,37.61946105957031 +1973,17,0.16642415523529053,MVA,15-17 yrs,176,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,26.397531509399414 +1973,17,0.16642415523529053,suicide,15-17 yrs,31,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,4.64956521987915 +1973,17,0.16642415523529053,homicide,15-17 yrs,54,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,8.0992431640625 +1973,17,0.16642415523529053,other external,15-17 yrs,102,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,15.298569679260254 +1973,17,0.16642415523529053,internal,15-17 yrs,200,666729,15.979547500610352,0,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,29.997196197509766 +1973,17,0.16642415523529053,all,18-20 yrs,877,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,144.04464721679688 +1973,17,0.16642415523529053,MVA,18-20 yrs,282,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,46.317665100097656 +1973,17,0.16642415523529053,suicide,18-20 yrs,55,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,9.033586502075195 +1973,17,0.16642415523529053,homicide,18-20 yrs,87,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,14.289491653442383 +1973,17,0.16642415523529053,other external,18-20 yrs,152,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,24.96554946899414 +1973,17,0.16642415523529053,internal,18-20 yrs,301,608839,18.988616943359375,0.16642415523529053,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,49.438358306884766 +1973,17,0.16642415523529053,all,21-24 yrs,1129,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,152.43553161621094 +1973,17,0.16642415523529053,MVA,21-24 yrs,281,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,37.94010925292969 +1973,17,0.16642415523529053,suicide,21-24 yrs,79,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,10.666436195373535 +1973,17,0.16642415523529053,homicide,21-24 yrs,114,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,15.392072677612305 +1973,17,0.16642415523529053,other external,21-24 yrs,182,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,24.57330894470215 +1973,17,0.16642415523529053,internal,21-24 yrs,473,740641,22.457963943481445,1,0.157657653093338,1.2200000286102295,0.3199999928474426,1.350000023841858,2.880000114440918,63.86359786987305 +1974,17,0.6637871861457825,MVA,15-17 yrs,173,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,25.605579376220703 +1974,17,0.6637871861457825,suicide,15-17 yrs,11,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,1.6281003952026367 +1974,17,0.6637871861457825,homicide,15-17 yrs,64,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,9.47258472442627 +1974,17,0.6637871861457825,other external,15-17 yrs,94,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,13.912858009338379 +1974,17,0.6637871861457825,internal,15-17 yrs,225,675634,15.993884086608887,0,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,33.30205535888672 +1974,17,0.6637871861457825,all,18-20 yrs,827,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,133.11056518554688 +1974,17,0.6637871861457825,MVA,18-20 yrs,239,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,38.46847152709961 +1974,17,0.6637871861457825,suicide,18-20 yrs,42,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,6.760149955749512 +1974,17,0.6637871861457825,homicide,18-20 yrs,98,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,15.773682594299316 +1974,17,0.6637871861457825,other external,18-20 yrs,141,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,22.694787979125977 +1974,17,0.6637871861457825,internal,18-20 yrs,307,621288,18.993389129638672,0.6637871861457825,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,49.413475036621094 +1974,17,0.6637871861457825,all,21-24 yrs,1042,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,136.34317016601562 +1974,17,0.6637871861457825,MVA,21-24 yrs,187,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,24.468496322631836 +1974,17,0.6637871861457825,suicide,21-24 yrs,69,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,9.028482437133789 +1974,17,0.6637871861457825,homicide,21-24 yrs,148,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,19.365442276000977 +1974,17,0.6637871861457825,other external,21-24 yrs,164,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,21.459003448486328 +1974,17,0.6637871861457825,internal,21-24 yrs,474,764248,22.471681594848633,1,0.14198783040046692,1.2699999809265137,0.33000001311302185,1.340000033378601,2.940000057220459,62.021751403808594 +1975,17,0.6589059233665466,MVA,15-17 yrs,157,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,23.219253540039062 +1975,17,0.6589059233665466,suicide,15-17 yrs,28,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,4.141013145446777 +1975,17,0.6589059233665466,homicide,15-17 yrs,57,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,8.429920196533203 +1975,17,0.6589059233665466,other external,15-17 yrs,122,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,18.042985916137695 +1975,17,0.6589059233665466,internal,15-17 yrs,190,676163,15.998247146606445,0,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,28.099733352661133 +1975,17,0.6589059233665466,all,18-20 yrs,837,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,131.32398986816406 +1975,17,0.6589059233665466,MVA,18-20 yrs,250,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,39.224609375 +1975,17,0.6589059233665466,suicide,18-20 yrs,41,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,6.432835578918457 +1975,17,0.6589059233665466,homicide,18-20 yrs,107,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,16.788131713867188 +1975,17,0.6589059233665466,other external,18-20 yrs,144,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,22.593374252319336 +1975,17,0.6589059233665466,internal,18-20 yrs,295,637355,18.98809051513672,0.6589059233665466,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,46.285037994384766 +1975,17,0.6589059233665466,all,21-24 yrs,1157,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,147.08872985839844 +1975,17,0.6589059233665466,MVA,21-24 yrs,222,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,28.22273063659668 +1975,17,0.6589059233665466,suicide,21-24 yrs,81,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,10.29748249053955 +1975,17,0.6589059233665466,homicide,21-24 yrs,164,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,20.849224090576172 +1975,17,0.6589059233665466,other external,21-24 yrs,247,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,31.40096664428711 +1975,17,0.6589059233665466,internal,21-24 yrs,443,786600,22.489301681518555,1,0.13011153042316437,1.309999942779541,0.33000001311302185,1.350000023841858,2.990000009536743,56.31833267211914 +1976,17,0.6634537577629089,MVA,15-17 yrs,180,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,26.50356101989746 +1976,17,0.6634537577629089,suicide,15-17 yrs,27,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,3.975534200668335 +1976,17,0.6634537577629089,homicide,15-17 yrs,68,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,10.012456893920898 +1976,17,0.6634537577629089,other external,15-17 yrs,107,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,15.754895210266113 +1976,17,0.6634537577629089,internal,15-17 yrs,131,679154,15.993809700012207,0,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,19.28870391845703 +1976,17,0.6634537577629089,all,18-20 yrs,809,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,124.2860107421875 +1976,17,0.6634537577629089,MVA,18-20 yrs,297,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,45.62786865234375 +1976,17,0.6634537577629089,suicide,18-20 yrs,51,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,7.83508825302124 +1976,17,0.6634537577629089,homicide,18-20 yrs,108,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,16.591951370239258 +1976,17,0.6634537577629089,other external,18-20 yrs,160,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,24.580669403076172 +1976,17,0.6634537577629089,internal,18-20 yrs,193,650918,18.989543914794922,0.6634537577629089,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,29.650432586669922 +1976,17,0.6634537577629089,all,21-24 yrs,1127,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,140.39398193359375 +1976,17,0.6634537577629089,MVA,21-24 yrs,250,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,31.143295288085938 +1976,17,0.6634537577629089,suicide,21-24 yrs,111,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,13.82762336730957 +1976,17,0.6634537577629089,homicide,21-24 yrs,196,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,24.416343688964844 +1976,17,0.6634537577629089,other external,21-24 yrs,252,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,31.392440795898438 +1976,17,0.6634537577629089,internal,21-24 yrs,318,802741,22.485525131225586,1,0.12302284687757492,1.309999942779541,0.3400000035762787,1.2999999523162842,2.940000057220459,39.61427307128906 +1977,17,0.6694338917732239,MVA,15-17 yrs,179,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,26.526613235473633 +1977,17,0.6694338917732239,suicide,15-17 yrs,31,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,4.593994617462158 +1977,17,0.6694338917732239,homicide,15-17 yrs,70,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,10.373536109924316 +1977,17,0.6694338917732239,other external,15-17 yrs,105,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,15.560304641723633 +1977,17,0.6694338917732239,internal,15-17 yrs,162,674794,16.00273323059082,0,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,24.007326126098633 +1977,17,0.6694338917732239,all,18-20 yrs,860,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,130.09231567382812 +1977,17,0.6694338917732239,MVA,18-20 yrs,305,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,46.137393951416016 +1977,17,0.6694338917732239,suicide,18-20 yrs,73,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,11.042719841003418 +1977,17,0.6694338917732239,homicide,18-20 yrs,138,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,20.87527847290039 +1977,17,0.6694338917732239,other external,18-20 yrs,166,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,25.110843658447266 +1977,17,0.6694338917732239,internal,18-20 yrs,178,661069,19.00385093688965,0.6694338917732239,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,26.926084518432617 +1977,17,0.6694338917732239,all,21-24 yrs,1104,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,135.20663452148438 +1977,17,0.6694338917732239,MVA,21-24 yrs,297,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,36.3735237121582 +1977,17,0.6694338917732239,suicide,21-24 yrs,120,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,14.696372985839844 +1977,17,0.6694338917732239,homicide,21-24 yrs,186,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,22.77937889099121 +1977,17,0.6694338917732239,other external,21-24 yrs,212,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,25.963592529296875 +1977,17,0.6694338917732239,internal,21-24 yrs,289,816528,22.485370635986328,1,0.11551155149936676,1.350000023841858,0.30000001192092896,1.2200000286102295,2.869999885559082,35.39376449584961 +1978,17,0.6711009740829468,MVA,15-17 yrs,194,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,29.105878829956055 +1978,17,0.6711009740829468,suicide,15-17 yrs,31,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,4.650939464569092 +1978,17,0.6711009740829468,homicide,15-17 yrs,69,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,10.352090835571289 +1978,17,0.6711009740829468,other external,15-17 yrs,103,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,15.453121185302734 +1978,17,0.6711009740829468,internal,15-17 yrs,135,666532,16.0150203704834,0,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,20.254091262817383 +1978,17,0.6711009740829468,all,18-20 yrs,879,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,133.0747528076172 +1978,17,0.6711009740829468,MVA,18-20 yrs,346,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,52.38209915161133 +1978,17,0.6711009740829468,suicide,18-20 yrs,56,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,8.47802734375 +1978,17,0.6711009740829468,homicide,18-20 yrs,125,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,18.92416763305664 +1978,17,0.6711009740829468,other external,18-20 yrs,176,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,26.64522933959961 +1978,17,0.6711009740829468,internal,18-20 yrs,176,660531,19.007322311401367,0.6711009740829468,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,26.64522933959961 +1978,17,0.6711009740829468,all,21-24 yrs,1085,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,129.79710388183594 +1978,17,0.6711009740829468,MVA,21-24 yrs,316,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,37.80266189575195 +1978,17,0.6711009740829468,suicide,21-24 yrs,120,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,14.355441093444824 +1978,17,0.6711009740829468,homicide,21-24 yrs,200,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,23.925735473632812 +1978,17,0.6711009740829468,other external,21-24 yrs,203,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,24.28462028503418 +1978,17,0.6711009740829468,internal,21-24 yrs,246,835920,22.480491638183594,1,0.10736197233200073,1.3799999952316284,0.3100000023841858,1.190000057220459,2.880000114440918,29.428653717041016 +1979,17,0.6677207350730896,MVA,15-17 yrs,175,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,27.038803100585938 +1979,17,0.6677207350730896,suicide,15-17 yrs,30,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,4.635223388671875 +1979,17,0.6677207350730896,homicide,15-17 yrs,66,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,10.197491645812988 +1979,17,0.6677207350730896,other external,15-17 yrs,95,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,14.678207397460938 +1979,17,0.6677207350730896,internal,15-17 yrs,119,647218,16.012914657592773,0,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,18.38638687133789 +1979,17,0.6677207350730896,all,18-20 yrs,789,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,119.71923065185547 +1979,17,0.6677207350730896,MVA,18-20 yrs,281,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,42.63764572143555 +1979,17,0.6677207350730896,suicide,18-20 yrs,68,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,10.318007469177246 +1979,17,0.6677207350730896,homicide,18-20 yrs,151,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,22.912044525146484 +1979,17,0.6677207350730896,other external,18-20 yrs,141,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,21.394691467285156 +1979,17,0.6677207350730896,internal,18-20 yrs,148,659042,19.002548217773438,0.6677207350730896,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,22.456838607788086 +1979,17,0.6677207350730896,all,21-24 yrs,1156,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,136.0187225341797 +1979,17,0.6677207350730896,MVA,21-24 yrs,322,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,37.887569427490234 +1979,17,0.6677207350730896,suicide,21-24 yrs,102,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,12.001651763916016 +1979,17,0.6677207350730896,homicide,21-24 yrs,232,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,27.297874450683594 +1979,17,0.6677207350730896,other external,21-24 yrs,229,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,26.94488525390625 +1979,17,0.6677207350730896,internal,21-24 yrs,271,849883,22.48516845703125,1,0.09641873836517334,1.4500000476837158,0.33000001311302185,1.1699999570846558,2.940000057220459,31.886741638183594 +1980,17,0,MVA,15-17 yrs,154,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,24.56641960144043 +1980,17,0,suicide,15-17 yrs,35,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,5.583276748657227 +1980,17,0,homicide,15-17 yrs,66,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,10.528465270996094 +1980,17,0,other external,15-17 yrs,64,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,10.209421157836914 +1980,17,0,internal,15-17 yrs,113,626872,16.01911163330078,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,18.02600860595703 +1980,17,0,all,18-20 yrs,717,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,109.85272979736328 +1980,17,0,MVA,18-20 yrs,254,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,38.91575241088867 +1980,17,0,suicide,18-20 yrs,76,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,11.644083023071289 +1980,17,0,homicide,18-20 yrs,134,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,20.530357360839844 +1980,17,0,other external,18-20 yrs,110,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,16.85327911376953 +1980,17,0,internal,18-20 yrs,143,652692,19.00726318359375,0,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,21.90926170349121 +1980,17,0,all,21-24 yrs,1086,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,127.0285415649414 +1980,17,0,MVA,21-24 yrs,289,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,33.80409622192383 +1980,17,0,suicide,21-24 yrs,126,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,14.738117218017578 +1980,17,0,homicide,21-24 yrs,247,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,28.891389846801758 +1980,17,0,other external,21-24 yrs,194,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,22.6920223236084 +1980,17,0,internal,21-24 yrs,230,854926,22.49736976623535,1,0.08495145291090012,1.4299999475479126,0.33000001311302185,1.2400000095367432,3,26.90291404724121 +1981,17,0,MVA,15-17 yrs,118,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,19.681821823120117 +1981,17,0,suicide,15-17 yrs,36,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,6.0046234130859375 +1981,17,0,homicide,15-17 yrs,84,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,14.010787963867188 +1981,17,0,other external,15-17 yrs,94,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.678739547729492 +1981,17,0,internal,15-17 yrs,92,599538,16.029525756835938,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.345149040222168 +1981,17,0,all,18-20 yrs,686,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,106.25675964355469 +1981,17,0,MVA,18-20 yrs,246,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,38.103736877441406 +1981,17,0,suicide,18-20 yrs,66,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,10.222952842712402 +1981,17,0,homicide,18-20 yrs,148,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,22.924198150634766 +1981,17,0,other external,18-20 yrs,102,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.79910945892334 +1981,17,0,internal,18-20 yrs,124,645606,19.01641082763672,0,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,19.20676040649414 +1981,17,0,all,21-24 yrs,1016,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,119.43597412109375 +1981,17,0,MVA,21-24 yrs,256,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,30.09410285949707 +1981,17,0,suicide,21-24 yrs,128,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,15.047051429748535 +1981,17,0,homicide,21-24 yrs,226,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,26.56744956970215 +1981,17,0,other external,21-24 yrs,188,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,22.100357055664062 +1981,17,0,internal,21-24 yrs,218,850665,22.512001037597656,1,0.0770077034831047,1.4299999475479126,0.3499999940395355,1.1200000047683716,2.9100000858306885,25.627010345458984 +1982,17,0,MVA,15-17 yrs,110,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,19.256792068481445 +1982,17,0,suicide,15-17 yrs,22,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,3.851358652114868 +1982,17,0,homicide,15-17 yrs,64,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,11.203951835632324 +1982,17,0,other external,15-17 yrs,50,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,8.753087997436523 +1982,17,0,internal,15-17 yrs,106,571227,16.024639129638672,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,18.55654525756836 +1982,17,0,all,18-20 yrs,640,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,101.66088104248047 +1982,17,0,MVA,18-20 yrs,194,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,30.815956115722656 +1982,17,0,suicide,18-20 yrs,46,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,7.306876182556152 +1982,17,0,homicide,18-20 yrs,132,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,20.967557907104492 +1982,17,0,other external,18-20 yrs,108,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,17.1552734375 +1982,17,0,internal,18-20 yrs,160,629544,19.019865036010742,0,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,25.415220260620117 +1982,17,0,all,21-24 yrs,906,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,107.69905853271484 +1982,17,0,MVA,21-24 yrs,230,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,27.3408203125 +1982,17,0,suicide,21-24 yrs,98,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,11.649566650390625 +1982,17,0,homicide,21-24 yrs,168,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,19.970685958862305 +1982,17,0,other external,21-24 yrs,182,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,21.634910583496094 +1982,17,0,internal,21-24 yrs,228,841233,22.505615234375,1,0.07253886014223099,1.409999966621399,0.3499999940395355,1.059999942779541,2.8299999237060547,27.103073120117188 +1983,17,0,MVA,15-17 yrs,97,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.73759651184082 +1983,17,0,suicide,15-17 yrs,33,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,6.034440040588379 +1983,17,0,homicide,15-17 yrs,55,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,10.057400703430176 +1983,17,0,other external,15-17 yrs,46,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,8.411643981933594 +1983,17,0,internal,15-17 yrs,98,546861,16.014198303222656,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.92045783996582 +1983,17,0,all,18-20 yrs,556,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,91.26154327392578 +1983,17,0,MVA,18-20 yrs,185,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,30.365800857543945 +1983,17,0,suicide,18-20 yrs,44,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,7.222136497497559 +1983,17,0,homicide,18-20 yrs,104,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,17.070505142211914 +1983,17,0,other external,18-20 yrs,88,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,14.444272994995117 +1983,17,0,internal,18-20 yrs,135,609238,19.02846336364746,0,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,22.158828735351562 +1983,17,0,all,21-24 yrs,840,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,101.11722564697266 +1983,17,0,MVA,21-24 yrs,194,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,23.35326385498047 +1983,17,0,suicide,21-24 yrs,117,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,14.084184646606445 +1983,17,0,homicide,21-24 yrs,176,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,21.186466217041016 +1983,17,0,other external,21-24 yrs,133,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,16.01022720336914 +1983,17,0,internal,21-24 yrs,220,830719,22.502565383911133,1,0.07028112560510635,1.4199999570846558,0.3499999940395355,1.0299999713897705,2.799999952316284,26.483081817626953 +1984,17,0,MVA,15-17 yrs,97,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.03473472595215 +1984,17,0,suicide,15-17 yrs,26,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,4.834052562713623 +1984,17,0,homicide,15-17 yrs,61,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,11.3414306640625 +1984,17,0,other external,15-17 yrs,35,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,6.507378578186035 +1984,17,0,internal,15-17 yrs,72,537851,16.000595092773438,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,13.38660717010498 +1984,17,0,all,18-20 yrs,487,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,83.53516387939453 +1984,17,0,MVA,18-20 yrs,185,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,31.73307228088379 +1984,17,0,suicide,18-20 yrs,49,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,8.404975891113281 +1984,17,0,homicide,18-20 yrs,107,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.353721618652344 +1984,17,0,other external,18-20 yrs,56,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,9.60568618774414 +1984,17,0,internal,18-20 yrs,90,582988,19.041030883789062,0,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,15.437710762023926 +1984,17,0,all,21-24 yrs,777,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,94.4328384399414 +1984,17,0,MVA,21-24 yrs,226,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,27.466951370239258 +1984,17,0,suicide,21-24 yrs,109,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,13.247335433959961 +1984,17,0,homicide,21-24 yrs,154,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,18.716419219970703 +1984,17,0,other external,21-24 yrs,103,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,12.518123626708984 +1984,17,0,internal,21-24 yrs,185,822807,22.50856590270996,1,0.06737247109413147,1.399999976158142,0.3700000047683716,1.0099999904632568,2.7699999809265137,22.4840087890625 +1985,17,0,MVA,15-17 yrs,78,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,14.534477233886719 +1985,17,0,suicide,15-17 yrs,42,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.826257228851318 +1985,17,0,homicide,15-17 yrs,43,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,8.012596130371094 +1985,17,0,other external,15-17 yrs,40,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.453577995300293 +1985,17,0,internal,15-17 yrs,89,536655,15.983894348144531,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,16.584211349487305 +1985,17,0,all,18-20 yrs,472,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,84.925994873046875 +1985,17,0,MVA,18-20 yrs,158,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,28.428617477416992 +1985,17,0,suicide,18-20 yrs,67,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,12.05517292022705 +1985,17,0,homicide,18-20 yrs,89,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,16.013587951660156 +1985,17,0,other external,18-20 yrs,44,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,7.916830062866211 +1985,17,0,internal,18-20 yrs,114,555778,19.036651611328125,0,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,20.51178741455078 +1985,17,0,all,21-24 yrs,791,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,97.55267333984375 +1985,17,0,MVA,21-24 yrs,234,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,28.85881805419922 +1985,17,0,suicide,21-24 yrs,118,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,14.55273723602295 +1985,17,0,homicide,21-24 yrs,145,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,17.882600784301758 +1985,17,0,other external,21-24 yrs,112,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,13.81276798248291 +1985,17,0,internal,21-24 yrs,182,810844,22.52265167236328,1,0.06505576521158218,1.3799999952316284,0.3700000047683716,0.9800000190734863,2.7200000286102295,22.44574737548828 +1986,17,0,MVA,15-17 yrs,115,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,21.07354164123535 +1986,17,0,suicide,15-17 yrs,37,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,6.780182838439941 +1986,17,0,homicide,15-17 yrs,68,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,12.46087646484375 +1986,17,0,other external,15-17 yrs,40,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,7.329927444458008 +1986,17,0,internal,15-17 yrs,83,545708,15.978099822998047,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,15.209599494934082 +1986,17,0,all,18-20 yrs,508,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,95.60931396484375 +1986,17,0,MVA,18-20 yrs,169,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,31.807035446166992 +1986,17,0,suicide,18-20 yrs,64,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,12.045268058776855 +1986,17,0,homicide,18-20 yrs,99,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,18.632522583007812 +1986,17,0,other external,18-20 yrs,74,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,13.927340507507324 +1986,17,0,internal,18-20 yrs,102,531329,19.02638053894043,0,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,19.197145462036133 +1986,17,0,all,21-24 yrs,851,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,108.01151275634766 +1986,17,0,MVA,21-24 yrs,244,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,30.969223022460938 +1986,17,0,suicide,21-24 yrs,105,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,13.326919555664062 +1986,17,0,homicide,21-24 yrs,153,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,19.419225692749023 +1986,17,0,other external,21-24 yrs,112,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,14.215380668640137 +1986,17,0,internal,21-24 yrs,237,787879,22.534629821777344,1,0.06386861205101013,1.399999976158142,0.38999998569488525,0.8999999761581421,2.680000066757202,30.080760955810547 +1987,17,0,MVA,15-17 yrs,113,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,21.027284622192383 +1987,17,0,suicide,15-17 yrs,44,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,8.187615394592285 +1987,17,0,homicide,15-17 yrs,46,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,8.55978012084961 +1987,17,0,other external,15-17 yrs,40,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,7.443286895751953 +1987,17,0,internal,15-17 yrs,90,537397,16.014633178710938,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,16.747394561767578 +1987,17,0,all,18-20 yrs,464,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,88.9037094116211 +1987,17,0,MVA,18-20 yrs,154,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,29.506834030151367 +1987,17,0,suicide,18-20 yrs,57,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,10.92136001586914 +1987,17,0,homicide,18-20 yrs,96,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,18.393869400024414 +1987,17,0,other external,18-20 yrs,51,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,9.7717437744140625 +1987,17,0,internal,18-20 yrs,106,521913,19.014341354370117,0,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,20.309898376464844 +1987,17,0,all,21-24 yrs,769,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,101.35517883300781 +1987,17,0,MVA,21-24 yrs,232,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,30.577896118164062 +1987,17,0,suicide,21-24 yrs,96,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,12.652922630310059 +1987,17,0,homicide,21-24 yrs,158,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,20.824602127075195 +1987,17,0,other external,21-24 yrs,85,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,11.203108787536621 +1987,17,0,internal,21-24 yrs,198,758718,22.552461624145508,1,0.06161971762776375,1.409999966621399,0.38999998569488525,0.8700000047683716,2.6600000858306885,26.09665298461914 +1988,17,0,MVA,15-17 yrs,112,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,21.820789337158203 +1988,17,0,suicide,15-17 yrs,46,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,8.962109565734863 +1988,17,0,homicide,15-17 yrs,56,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,10.910394668579102 +1988,17,0,other external,15-17 yrs,34,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,6.6241679191589355 +1988,17,0,internal,15-17 yrs,70,513272,16.048954010009766,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,13.637992858886719 +1988,17,0,all,18-20 yrs,557,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,106.5598373413086 +1988,17,0,MVA,18-20 yrs,215,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,41.1317138671875 +1988,17,0,suicide,18-20 yrs,58,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,11.09599781036377 +1988,17,0,homicide,18-20 yrs,105,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,20.087581634521484 +1988,17,0,other external,18-20 yrs,57,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,10.90468692779541 +1988,17,0,internal,18-20 yrs,122,522711,18.997966766357422,0,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,23.33985710144043 +1988,17,0,all,21-24 yrs,775,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,106.03945922851562 +1988,17,0,MVA,21-24 yrs,222,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,30.375173568725586 +1988,17,0,suicide,21-24 yrs,97,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,13.272035598754883 +1988,17,0,homicide,21-24 yrs,154,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,21.071067810058594 +1988,17,0,other external,21-24 yrs,121,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,16.555837631225586 +1988,17,0,internal,21-24 yrs,181,730860,22.555818557739258,1,0.05917159467935562,1.4199999570846558,0.3700000047683716,0.8500000238418579,2.640000104904175,24.765344619750977 +1989,17,0,MVA,15-17 yrs,119,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,24.763755798339844 +1989,17,0,suicide,15-17 yrs,36,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,7.491556167602539 +1989,17,0,homicide,15-17 yrs,80,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,16.647903442382812 +1989,17,0,other external,15-17 yrs,36,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,7.491556167602539 +1989,17,0,internal,15-17 yrs,85,480541,16.038896560668945,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,17.688396453857422 +1989,17,0,all,18-20 yrs,497,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,93.1824951171875 +1989,17,0,MVA,18-20 yrs,180,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,33.74818420410156 +1989,17,0,suicide,18-20 yrs,57,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,10.686925888061523 +1989,17,0,homicide,18-20 yrs,117,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,21.936321258544922 +1989,17,0,other external,18-20 yrs,49,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,9.187005996704102 +1989,17,0,internal,18-20 yrs,94,533362,18.993501663208008,0,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,17.624052047729492 +1989,17,0,all,21-24 yrs,709,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,100.85262298583984 +1989,17,0,MVA,21-24 yrs,192,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,27.311288833618164 +1989,17,0,suicide,21-24 yrs,95,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,13.513398170471191 +1989,17,0,homicide,21-24 yrs,161,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,22.901653289794922 +1989,17,0,other external,21-24 yrs,77,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,10.952964782714844 +1989,17,0,internal,21-24 yrs,184,703006,22.54749870300293,1,0.05645161494612694,1.3799999952316284,0.3499999940395355,0.8199999928474426,2.559999942779541,26.17331886291504 +1990,17,0,MVA,15-17 yrs,110,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,23.763540267944336 +1990,17,0,suicide,15-17 yrs,29,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,6.264933109283447 +1990,17,0,homicide,15-17 yrs,106,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,22.899410247802734 +1990,17,0,other external,15-17 yrs,30,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,6.480965614318848 +1990,17,0,internal,15-17 yrs,58,462894,16.018341064453125,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,12.529866218566895 +1990,17,0,all,18-20 yrs,542,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,101.66337585449219 +1990,17,0,MVA,18-20 yrs,133,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,24.946916580200195 +1990,17,0,suicide,18-20 yrs,63,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,11.816961288452148 +1990,17,0,homicide,18-20 yrs,179,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,33.57517623901367 +1990,17,0,other external,18-20 yrs,59,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,11.066678047180176 +1990,17,0,internal,18-20 yrs,108,533132,19.027400970458984,0,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,20.257646560668945 +1990,17,0,all,21-24 yrs,703,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,102.61141204833984 +1990,17,0,MVA,21-24 yrs,177,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,25.835304260253906 +1990,17,0,suicide,21-24 yrs,94,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,13.720444679260254 +1990,17,0,homicide,21-24 yrs,191,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,27.878774642944336 +1990,17,0,other external,21-24 yrs,65,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,9.487541198730469 +1990,17,0,internal,21-24 yrs,176,685109,22.52198600769043,1,0.05355776846408844,1.4299999475479126,0.36000001430511475,0.8199999928474426,2.619999885559082,25.689342498779297 +1991,17,0,MVA,15-17 yrs,76,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,16.519943237304688 +1991,17,0,suicide,15-17 yrs,35,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,7.607868671417236 +1991,17,0,homicide,15-17 yrs,107,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,23.25834083557129 +1991,17,0,other external,15-17 yrs,38,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,8.259971618652344 +1991,17,0,internal,15-17 yrs,85,460050,16.00901222229004,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,18.476253509521484 +1991,17,0,all,18-20 yrs,595,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,115.78533935546875 +1991,17,0,MVA,18-20 yrs,155,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,30.162567138671875 +1991,17,0,suicide,18-20 yrs,70,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,13.621804237365723 +1991,17,0,homicide,18-20 yrs,204,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,39.69783020019531 +1991,17,0,other external,18-20 yrs,58,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,11.286638259887695 +1991,17,0,internal,18-20 yrs,108,513882,19.05067253112793,0,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,21.016498565673828 +1991,17,0,all,21-24 yrs,745,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,110.10839080810547 +1991,17,0,MVA,21-24 yrs,180,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,26.603370666503906 +1991,17,0,suicide,21-24 yrs,94,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,13.892870903015137 +1991,17,0,homicide,21-24 yrs,192,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,28.376928329467773 +1991,17,0,other external,21-24 yrs,99,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,14.631854057312012 +1991,17,0,internal,21-24 yrs,180,676606,22.4919490814209,1,0.05139501020312309,1.3799999952316284,0.3400000035762787,0.7599999904632568,2.4800000190734863,26.603370666503906 +1992,17,0,MVA,15-17 yrs,92,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,19.64129066467285 +1992,17,0,suicide,15-17 yrs,27,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,5.764291763305664 +1992,17,0,homicide,15-17 yrs,121,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,25.83256721496582 +1992,17,0,other external,15-17 yrs,28,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,5.977784156799316 +1992,17,0,internal,15-17 yrs,70,468401,16.000764846801758,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,14.944459915161133 +1992,17,0,all,18-20 yrs,492,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,100.55982208251953 +1992,17,0,MVA,18-20 yrs,115,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,23.504837036132812 +1992,17,0,suicide,18-20 yrs,51,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,10.423884391784668 +1992,17,0,homicide,18-20 yrs,186,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,38.016517639160156 +1992,17,0,other external,18-20 yrs,37,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,7.56242561340332 +1992,17,0,internal,18-20 yrs,103,489261,19.0407772064209,0,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,21.05215835571289 +1992,17,0,all,21-24 yrs,757,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,111.4339828491211 +1992,17,0,MVA,21-24 yrs,149,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,21.933504104614258 +1992,17,0,suicide,21-24 yrs,83,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,12.217992782592773 +1992,17,0,homicide,21-24 yrs,226,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,33.26826858520508 +1992,17,0,other external,21-24 yrs,86,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,12.65960693359375 +1992,17,0,internal,21-24 yrs,213,679326,22.468589782714844,1,0.0498930849134922,1.340000033378601,0.3499999940395355,0.7400000095367432,2.430000066757202,31.35460662841797 +1993,17,0,MVA,15-17 yrs,96,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,20.268001556396484 +1993,17,0,suicide,15-17 yrs,28,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,5.911500453948975 +1993,17,0,homicide,15-17 yrs,142,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,29.979753494262695 +1993,17,0,other external,15-17 yrs,38,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,8.0227508544921875 +1993,17,0,internal,15-17 yrs,66,473653,15.998336791992188,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,13.93425178527832 +1993,17,0,all,18-20 yrs,551,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,115.13371276855469 +1993,17,0,MVA,18-20 yrs,121,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,25.283445358276367 +1993,17,0,suicide,18-20 yrs,55,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,11.492475509643555 +1993,17,0,homicide,18-20 yrs,200,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,41.79082107543945 +1993,17,0,other external,18-20 yrs,62,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,12.955154418945312 +1993,17,0,internal,18-20 yrs,113,478574,19.01644515991211,0,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,23.611812591552734 +1993,17,0,all,21-24 yrs,737,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,108.83706665039062 +1993,17,0,MVA,21-24 yrs,151,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,22.29904556274414 +1993,17,0,suicide,21-24 yrs,81,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,11.961740493774414 +1993,17,0,homicide,21-24 yrs,202,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,29.83051300048828 +1993,17,0,other external,21-24 yrs,99,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,14.619904518127441 +1993,17,0,internal,21-24 yrs,204,677159,22.49498176574707,1,0.04844290763139725,1.3200000524520874,0.3400000035762787,0.7200000286102295,2.380000114440918,30.125864028930664 +1994,17,0,MVA,15-17 yrs,121,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,24.899578094482422 +1994,17,0,suicide,15-17 yrs,35,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,7.202357292175293 +1994,17,0,homicide,15-17 yrs,160,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,32.92506408691406 +1994,17,0,other external,15-17 yrs,30,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,6.1734490394592285 +1994,17,0,internal,15-17 yrs,57,485952,16.002336502075195,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,11.72955322265625 +1994,17,0,all,18-20 yrs,549,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,115.64005279541016 +1994,17,0,MVA,18-20 yrs,143,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,30.121179580688477 +1994,17,0,suicide,18-20 yrs,52,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,10.953156471252441 +1994,17,0,homicide,18-20 yrs,209,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,44.02326202392578 +1994,17,0,other external,18-20 yrs,42,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,8.846779823303223 +1994,17,0,internal,18-20 yrs,103,474749,19.00945472717285,0,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,21.695674896240234 +1994,17,0,all,21-24 yrs,769,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,115.47552490234375 +1994,17,0,MVA,21-24 yrs,184,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,27.630033493041992 +1994,17,0,suicide,21-24 yrs,81,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,12.16322135925293 +1994,17,0,homicide,21-24 yrs,231,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,34.687705993652344 +1994,17,0,other external,21-24 yrs,76,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,11.412405014038086 +1994,17,0,internal,21-24 yrs,197,665942,22.5360164642334,1,0.047233469784259796,1.3200000524520874,0.3400000035762787,0.6899999976158142,2.3499999046325684,29.582155227661133 +1995,17,0,MVA,15-17 yrs,107,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,21.349103927612305 +1995,17,0,suicide,15-17 yrs,42,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.380022048950195 +1995,17,0,homicide,15-17 yrs,129,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,25.73863983154297 +1995,17,0,other external,15-17 yrs,24,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,4.788584232330322 +1995,17,0,internal,15-17 yrs,74,501192,15.982284545898438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,14.764801025390625 +1995,17,0,all,18-20 yrs,508,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,105.24919891357422 +1995,17,0,MVA,18-20 yrs,149,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,30.870336532592773 +1995,17,0,suicide,18-20 yrs,48,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,9.944806098937988 +1995,17,0,homicide,18-20 yrs,180,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,37.29302215576172 +1995,17,0,other external,18-20 yrs,41,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.4945220947265625 +1995,17,0,internal,18-20 yrs,90,482664,19.001571655273438,0,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,18.64651107788086 +1995,17,0,all,21-24 yrs,703,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,108.98633575439453 +1995,17,0,MVA,21-24 yrs,166,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,25.735036849975586 +1995,17,0,suicide,21-24 yrs,88,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,13.642670631408691 +1995,17,0,homicide,21-24 yrs,192,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,29.765827178955078 +1995,17,0,other external,21-24 yrs,57,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,8.836730003356934 +1995,17,0,internal,21-24 yrs,200,645035,22.55268096923828,1,0.04593176022171974,1.2999999523162842,0.33000001311302185,0.6600000262260437,2.2899999618530273,31.00606918334961 +1996,17,0,MVA,15-17 yrs,86,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,16.692644119262695 +1996,17,0,suicide,15-17 yrs,30,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,5.823015213012695 +1996,17,0,homicide,15-17 yrs,124,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,24.068462371826172 +1996,17,0,other external,15-17 yrs,30,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,5.823015213012695 +1996,17,0,internal,15-17 yrs,101,515197,15.991671562194824,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,19.604150772094727 +1996,17,0,all,18-20 yrs,480,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,98.43952941894531 +1996,17,0,MVA,18-20 yrs,114,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,23.3793888092041 +1996,17,0,suicide,18-20 yrs,35,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,7.177882194519043 +1996,17,0,homicide,18-20 yrs,189,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,38.760562896728516 +1996,17,0,other external,18-20 yrs,36,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,7.382964611053467 +1996,17,0,internal,18-20 yrs,106,487609,18.998472213745117,0,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,21.73872947692871 +1996,17,0,all,21-24 yrs,672,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,107.74462890625 +1996,17,0,MVA,21-24 yrs,163,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,26.134485244750977 +1996,17,0,suicide,21-24 yrs,64,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,10.261392593383789 +1996,17,0,homicide,21-24 yrs,213,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,34.15119934082031 +1996,17,0,other external,21-24 yrs,62,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,9.94072437286377 +1996,17,0,internal,21-24 yrs,170,623697,22.52062225341797,1,0.04461440443992615,1.2699999809265137,0.3499999940395355,0.6800000071525574,2.299999952316284,27.256824493408203 +1970,18,0,MVA,15-17 yrs,139,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,44.84290313720703 +1970,18,0,suicide,15-17 yrs,13,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,4.19394063949585 +1970,18,0,homicide,15-17 yrs,17,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,5.484384059906006 +1970,18,0,other external,15-17 yrs,59,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,19.034038543701172 +1970,18,0,internal,15-17 yrs,74,309971,15.982178688049316,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,23.873201370239258 +1970,18,0,all,18-20 yrs,382,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,135.5489501953125 +1970,18,0,MVA,18-20 yrs,171,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,60.67767333984375 +1970,18,0,suicide,18-20 yrs,22,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,7.806484222412109 +1970,18,0,homicide,18-20 yrs,22,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,7.806484222412109 +1970,18,0,other external,18-20 yrs,60,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,21.2904109954834 +1970,18,0,internal,18-20 yrs,107,281817,18.95769500732422,0,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,37.967899322509766 +1970,18,0,all,21-24 yrs,457,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,140.10540771484375 +1970,18,0,MVA,21-24 yrs,183,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,56.103477478027344 +1970,18,0,suicide,21-24 yrs,39,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,11.956478118896484 +1970,18,0,homicide,21-24 yrs,35,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,10.730173110961914 +1970,18,0,other external,21-24 yrs,66,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,20.234041213989258 +1970,18,0,internal,21-24 yrs,134,326183,22.42549705505371,1,0.20618556439876556,1,0.11999999731779099,0.6899999976158142,1.809999942779541,41.081233978271484 +1971,18,0,MVA,15-17 yrs,120,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,38.19770431518555 +1971,18,0,suicide,15-17 yrs,8,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,2.546513557434082 +1971,18,0,homicide,15-17 yrs,10,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,3.1831421852111816 +1971,18,0,other external,15-17 yrs,55,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,17.507282257080078 +1971,18,0,internal,15-17 yrs,67,314155,15.988581657409668,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,21.327051162719727 +1971,18,0,all,18-20 yrs,397,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,135.11444091796875 +1971,18,0,MVA,18-20 yrs,185,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,62.962646484375 +1971,18,0,suicide,18-20 yrs,23,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,7.827788829803467 +1971,18,0,homicide,18-20 yrs,24,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,8.168127059936523 +1971,18,0,other external,18-20 yrs,52,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,17.697608947753906 +1971,18,0,internal,18-20 yrs,113,293825,18.969985961914062,0,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,38.45826721191406 +1971,18,0,all,21-24 yrs,444,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,124.8309555053711 +1971,18,0,MVA,21-24 yrs,169,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,47.51448440551758 +1971,18,0,suicide,21-24 yrs,46,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,12.932936668395996 +1971,18,0,homicide,21-24 yrs,40,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,11.24603271484375 +1971,18,0,other external,21-24 yrs,54,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,15.182143211364746 +1971,18,0,internal,21-24 yrs,135,355681,22.54938316345215,1,0.1975308656692505,1.0099999904632568,0.12999999523162842,0.6800000071525574,1.8200000524520874,37.955360412597656 +1972,18,0,MVA,15-17 yrs,96,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,29.996625900268555 +1972,18,0,suicide,15-17 yrs,8,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,2.49971866607666 +1972,18,0,homicide,15-17 yrs,20,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,6.249297142028809 +1972,18,0,other external,15-17 yrs,62,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,19.372819900512695 +1972,18,0,internal,15-17 yrs,82,320036,15.98029613494873,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,25.62211799621582 +1972,18,0,all,18-20 yrs,342,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,112.16719055175781 +1972,18,0,MVA,18-20 yrs,174,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,57.0675163269043 +1972,18,0,suicide,18-20 yrs,16,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,5.24758768081665 +1972,18,0,homicide,18-20 yrs,22,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,7.215433120727539 +1972,18,0,other external,18-20 yrs,46,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,15.086814880371094 +1972,18,0,internal,18-20 yrs,84,304902,18.984092712402344,0,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,27.549835205078125 +1972,18,0,all,21-24 yrs,388,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,108.70113372802734 +1972,18,0,MVA,21-24 yrs,176,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,49.30773162841797 +1972,18,0,suicide,21-24 yrs,22,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,6.163466453552246 +1972,18,0,homicide,21-24 yrs,42,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,11.766617774963379 +1972,18,0,other external,21-24 yrs,62,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,17.369768142700195 +1972,18,0,internal,21-24 yrs,86,356942,22.499479293823242,1,0.19138756394386292,1,0.11999999731779099,0.6700000166893005,1.7999999523162842,24.093549728393555 +1973,18,0,MVA,15-17 yrs,135,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,41.545875549316406 +1973,18,0,suicide,15-17 yrs,14,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,4.3084611892700195 +1973,18,0,homicide,15-17 yrs,23,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,7.07818603515625 +1973,18,0,other external,15-17 yrs,63,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,19.38807487487793 +1973,18,0,internal,15-17 yrs,74,324942,15.98159408569336,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,22.77329444885254 +1973,18,0,all,18-20 yrs,428,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,137.8066864013672 +1973,18,0,MVA,18-20 yrs,194,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,62.463775634765625 +1973,18,0,suicide,18-20 yrs,35,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,11.269238471984863 +1973,18,0,homicide,18-20 yrs,27,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,8.693412780761719 +1973,18,0,other external,18-20 yrs,74,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,23.82638931274414 +1973,18,0,internal,18-20 yrs,98,310580,18.98857879638672,0,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,31.55386734008789 +1973,18,0,all,21-24 yrs,479,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,131.73672485351562 +1973,18,0,MVA,21-24 yrs,193,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,53.0797233581543 +1973,18,0,suicide,21-24 yrs,47,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,12.92615032196045 +1973,18,0,homicide,21-24 yrs,49,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,13.47619915008545 +1973,18,0,other external,21-24 yrs,67,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,18.426639556884766 +1973,18,0,internal,21-24 yrs,123,363604,22.480484008789062,1,0.21396395564079285,1.0099999904632568,0.15000000596046448,0.6299999952316284,1.7999999523162842,33.82801055908203 +1974,18,0,MVA,15-17 yrs,104,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,31.71466636657715 +1974,18,0,suicide,15-17 yrs,11,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,3.354435682296753 +1974,18,0,homicide,15-17 yrs,15,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,4.574230670928955 +1974,18,0,other external,15-17 yrs,50,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,15.247435569763184 +1974,18,0,internal,15-17 yrs,55,327924,15.997395515441895,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,16.772178649902344 +1974,18,0,all,18-20 yrs,354,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,111.997314453125 +1974,18,0,MVA,18-20 yrs,143,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,45.24185562133789 +1974,18,0,suicide,18-20 yrs,23,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,7.2766618728637695 +1974,18,0,homicide,18-20 yrs,30,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,9.491297721862793 +1974,18,0,other external,18-20 yrs,73,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,23.095491409301758 +1974,18,0,internal,18-20 yrs,85,316079,18.997066497802734,0,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,26.892011642456055 +1974,18,0,all,21-24 yrs,453,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,122.07412719726562 +1974,18,0,MVA,21-24 yrs,151,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,40.691375732421875 +1974,18,0,suicide,21-24 yrs,40,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,10.779172897338867 +1974,18,0,homicide,21-24 yrs,62,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,16.707717895507812 +1974,18,0,other external,21-24 yrs,83,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,22.366783142089844 +1974,18,0,internal,21-24 yrs,117,371086,22.4605770111084,1,0.19269776344299316,1.0099999904632568,0.12999999523162842,0.7300000190734863,1.8600000143051147,31.52907943725586 +1975,18,0,MVA,15-17 yrs,100,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,30.776805877685547 +1975,18,0,suicide,15-17 yrs,12,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,3.6932168006896973 +1975,18,0,homicide,15-17 yrs,19,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,5.847593307495117 +1975,18,0,other external,15-17 yrs,64,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,19.69715690612793 +1975,18,0,internal,15-17 yrs,67,324920,16.001169204711914,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,20.620460510253906 +1975,18,0,all,18-20 yrs,368,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,114.8797378540039 +1975,18,0,MVA,18-20 yrs,147,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,45.88945770263672 +1975,18,0,suicide,18-20 yrs,28,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,8.740849494934082 +1975,18,0,homicide,18-20 yrs,45,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,14.0477933883667 +1975,18,0,other external,18-20 yrs,80,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,24.97385597229004 +1975,18,0,internal,18-20 yrs,68,320335,18.98792266845703,0,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,21.2277774810791 +1975,18,0,all,21-24 yrs,450,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,118.6549301147461 +1975,18,0,MVA,21-24 yrs,141,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,37.17854309082031 +1975,18,0,suicide,21-24 yrs,50,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,13.183880805969238 +1975,18,0,homicide,21-24 yrs,71,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,18.721111297607422 +1975,18,0,other external,21-24 yrs,75,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,19.775821685791016 +1975,18,0,internal,21-24 yrs,113,379251,22.461673736572266,1,0.17657992243766785,1.0399999618530273,0.15000000596046448,0.75,1.940000057220459,29.795570373535156 +1976,18,0,MVA,15-17 yrs,97,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,29.833486557006836 +1976,18,0,suicide,15-17 yrs,15,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,4.6134257316589355 +1976,18,0,homicide,15-17 yrs,10,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,3.0756170749664307 +1976,18,0,other external,15-17 yrs,56,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,17.22345542907715 +1976,18,0,internal,15-17 yrs,71,325138,15.99222183227539,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,21.836881637573242 +1976,18,0,all,18-20 yrs,385,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,118.66930389404297 +1976,18,0,MVA,18-20 yrs,181,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,55.789981842041016 +1976,18,0,suicide,18-20 yrs,27,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,8.32226276397705 +1976,18,0,homicide,18-20 yrs,28,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,8.630495071411133 +1976,18,0,other external,18-20 yrs,67,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,20.651540756225586 +1976,18,0,internal,18-20 yrs,82,324431,18.98786163330078,0,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,25.275020599365234 +1976,18,0,all,21-24 yrs,461,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,119.11283111572266 +1976,18,0,MVA,21-24 yrs,190,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,49.09205627441406 +1976,18,0,suicide,21-24 yrs,44,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,11.36868667602539 +1976,18,0,homicide,21-24 yrs,45,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,11.627065658569336 +1976,18,0,other external,21-24 yrs,78,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,20.153579711914062 +1976,18,0,internal,21-24 yrs,104,387028,22.467687606811523,1,0.16695956885814667,1.0800000429153442,0.14000000059604645,0.75,1.9800000190734863,26.871440887451172 +1977,18,0,MVA,15-17 yrs,143,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,44.11442565917969 +1977,18,0,suicide,15-17 yrs,14,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,4.318894863128662 +1977,18,0,homicide,15-17 yrs,17,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,5.244372367858887 +1977,18,0,other external,15-17 yrs,33,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,10.180252075195312 +1977,18,0,internal,15-17 yrs,61,324157,15.997655868530273,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,18.818042755126953 +1977,18,0,all,18-20 yrs,408,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,123.91423034667969 +1977,18,0,MVA,18-20 yrs,170,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,51.63093185424805 +1977,18,0,suicide,18-20 yrs,39,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,11.844742774963379 +1977,18,0,homicide,18-20 yrs,37,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,11.237319946289062 +1977,18,0,other external,18-20 yrs,86,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,26.119176864624023 +1977,18,0,internal,18-20 yrs,76,329260,19.00397300720215,0,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,23.082063674926758 +1977,18,0,all,21-24 yrs,476,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,120.93035125732422 +1977,18,0,MVA,21-24 yrs,190,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,48.2705192565918 +1977,18,0,suicide,21-24 yrs,60,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,15.243321418762207 +1977,18,0,homicide,21-24 yrs,56,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,14.227100372314453 +1977,18,0,other external,21-24 yrs,76,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,19.30820655822754 +1977,18,0,internal,21-24 yrs,94,393615,22.474252700805664,1,0.15676568448543549,1.1399999856948853,0.14000000059604645,0.7699999809265137,2.049999952316284,23.88120460510254 +1978,18,0,MVA,15-17 yrs,126,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,38.92877960205078 +1978,18,0,suicide,15-17 yrs,21,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,6.488129615783691 +1978,18,0,homicide,15-17 yrs,15,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,4.634378433227539 +1978,18,0,other external,15-17 yrs,46,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,14.2120943069458 +1978,18,0,internal,15-17 yrs,53,323668,16.010772705078125,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,16.37480354309082 +1978,18,0,all,18-20 yrs,390,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,118.28971099853516 +1978,18,0,MVA,18-20 yrs,187,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,56.71839904785156 +1978,18,0,suicide,18-20 yrs,31,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,9.402515411376953 +1978,18,0,homicide,18-20 yrs,31,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,9.402515411376953 +1978,18,0,other external,18-20 yrs,72,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,21.83810043334961 +1978,18,0,internal,18-20 yrs,69,329699,19.006797790527344,0,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,20.928180694580078 +1978,18,0,all,21-24 yrs,494,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,122.59007263183594 +1978,18,0,MVA,21-24 yrs,196,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,48.63897705078125 +1978,18,0,suicide,21-24 yrs,65,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,16.130273818969727 +1978,18,0,homicide,21-24 yrs,62,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,15.385798454284668 +1978,18,0,other external,21-24 yrs,80,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,19.852643966674805 +1978,18,0,internal,21-24 yrs,91,402969,22.46630096435547,1,0.14570552110671997,1.190000057220459,0.1599999964237213,0.7900000214576721,2.140000104904175,22.582382202148438 +1979,18,0,MVA,15-17 yrs,132,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,41.363101959228516 +1979,18,0,suicide,15-17 yrs,12,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,3.760282039642334 +1979,18,0,homicide,15-17 yrs,13,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,4.073638916015625 +1979,18,0,other external,15-17 yrs,54,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,16.921268463134766 +1979,18,0,internal,15-17 yrs,57,319125,16.005645751953125,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,17.861339569091797 +1979,18,0,all,18-20 yrs,384,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,116.00016784667969 +1979,18,0,MVA,18-20 yrs,175,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,52.864662170410156 +1979,18,0,suicide,18-20 yrs,41,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,12.385435104370117 +1979,18,0,homicide,18-20 yrs,37,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,11.177099227905273 +1979,18,0,other external,18-20 yrs,79,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,23.8646183013916 +1979,18,0,internal,18-20 yrs,52,331034,18.997478485107422,0,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,15.708355903625488 +1979,18,0,all,21-24 yrs,518,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,126.62064361572266 +1979,18,0,MVA,21-24 yrs,195,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,47.666072845458984 +1979,18,0,suicide,21-24 yrs,66,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,16.133132934570312 +1979,18,0,homicide,21-24 yrs,64,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,15.64424991607666 +1979,18,0,other external,21-24 yrs,80,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,19.555313110351562 +1979,18,0,internal,21-24 yrs,113,409096,22.465303421020508,1,0.13085399568080902,1.2300000190734863,0.15000000596046448,0.7900000214576721,2.180000066757202,27.621877670288086 +1980,18,0,MVA,15-17 yrs,89,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,28.808835983276367 +1980,18,0,suicide,15-17 yrs,19,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,6.150200843811035 +1980,18,0,homicide,15-17 yrs,19,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,6.150200843811035 +1980,18,0,other external,15-17 yrs,39,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,12.624096870422363 +1980,18,0,internal,15-17 yrs,58,308933,16.01490020751953,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,18.7742977142334 +1980,18,0,all,18-20 yrs,331,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,101.84239196777344 +1980,18,0,MVA,18-20 yrs,151,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,46.45982360839844 +1980,18,0,suicide,18-20 yrs,30,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,9.230428695678711 +1980,18,0,homicide,18-20 yrs,30,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,9.230428695678711 +1980,18,0,other external,18-20 yrs,52,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,15.999409675598145 +1980,18,0,internal,18-20 yrs,68,325012,19.00868034362793,0,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,20.922304153442383 +1980,18,0,all,21-24 yrs,476,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,115.65384674072266 +1980,18,0,MVA,21-24 yrs,181,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,43.97761917114258 +1980,18,0,suicide,21-24 yrs,49,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,11.905543327331543 +1980,18,0,homicide,21-24 yrs,65,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,15.79306697845459 +1980,18,0,other external,21-24 yrs,78,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,18.95168113708496 +1980,18,0,internal,21-24 yrs,103,411573,22.468769073486328,1,0.11529126018285751,1.2599999904632568,0.17000000178813934,0.7699999809265137,2.2100000381469727,25.025936126708984 +1981,18,0,MVA,15-17 yrs,100,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,33.990482330322266 +1981,18,0,suicide,15-17 yrs,18,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,6.118287086486816 +1981,18,0,homicide,15-17 yrs,8,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,2.719238519668579 +1981,18,0,other external,15-17 yrs,34,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,11.556763648986816 +1981,18,0,internal,15-17 yrs,62,294200,16.034521102905273,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,21.074098587036133 +1981,18,0,all,18-20 yrs,302,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,94.94944763183594 +1981,18,0,MVA,18-20 yrs,138,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,43.38749313354492 +1981,18,0,suicide,18-20 yrs,28,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,8.80325984954834 +1981,18,0,homicide,18-20 yrs,30,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,9.432064056396484 +1981,18,0,other external,18-20 yrs,52,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.34891128540039 +1981,18,0,internal,18-20 yrs,54,318064,19.027164459228516,0,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.97771453857422 +1981,18,0,all,21-24 yrs,490,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,118.3780746459961 +1981,18,0,MVA,21-24 yrs,182,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,43.968997955322266 +1981,18,0,suicide,21-24 yrs,76,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,18.360681533813477 +1981,18,0,homicide,21-24 yrs,64,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,15.461626052856445 +1981,18,0,other external,21-24 yrs,68,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,16.427978515625 +1981,18,0,internal,21-24 yrs,100,413928,22.486663818359375,1,0.12651264667510986,1.2899999618530273,0.18000000715255737,0.7799999713897705,2.25,24.158790588378906 +1982,18,0,MVA,15-17 yrs,60,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,21.538803100585938 +1982,18,0,suicide,15-17 yrs,12,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,4.307760715484619 +1982,18,0,homicide,15-17 yrs,6,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,2.1538803577423096 +1982,18,0,other external,15-17 yrs,30,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,10.769401550292969 +1982,18,0,internal,15-17 yrs,50,278567,16.026966094970703,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,17.949003219604492 +1982,18,0,all,18-20 yrs,306,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,98.91228485107422 +1982,18,0,MVA,18-20 yrs,122,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,39.43561935424805 +1982,18,0,suicide,18-20 yrs,54,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,17.455110549926758 +1982,18,0,homicide,18-20 yrs,30,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,9.697282791137695 +1982,18,0,other external,18-20 yrs,42,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,13.576196670532227 +1982,18,0,internal,18-20 yrs,58,309365,19.017494201660156,0,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,18.74808120727539 +1982,18,0,all,21-24 yrs,420,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,101.5387954711914 +1982,18,0,MVA,21-24 yrs,142,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,34.32978439331055 +1982,18,0,suicide,21-24 yrs,64,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,15.472578048706055 +1982,18,0,homicide,21-24 yrs,52,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,12.571470260620117 +1982,18,0,other external,21-24 yrs,52,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,12.571470260620117 +1982,18,0,internal,21-24 yrs,110,413635,22.485780715942383,1,0.11917098611593246,1.2899999618530273,0.18000000715255737,0.7599999904632568,2.2300000190734863,26.593494415283203 +1983,18,0,MVA,15-17 yrs,66,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,24.901714324951172 +1983,18,0,suicide,15-17 yrs,20,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,7.545973777770996 +1983,18,0,homicide,15-17 yrs,8,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,3.0183894634246826 +1983,18,0,other external,15-17 yrs,15,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,5.659480571746826 +1983,18,0,internal,15-17 yrs,37,265042,16.017072677612305,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,13.960051536560059 +1983,18,0,all,18-20 yrs,315,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,105.03256225585938 +1983,18,0,MVA,18-20 yrs,141,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,47.01457595825195 +1983,18,0,suicide,18-20 yrs,32,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.669974327087402 +1983,18,0,homicide,18-20 yrs,31,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.33653736114502 +1983,18,0,other external,18-20 yrs,32,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,10.669974327087402 +1983,18,0,internal,18-20 yrs,79,299907,19.02311134338379,0,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,26.34149932861328 +1983,18,0,all,21-24 yrs,417,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,102.28134155273438 +1983,18,0,MVA,21-24 yrs,154,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,37.77296447753906 +1983,18,0,suicide,21-24 yrs,51,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.509228706359863 +1983,18,0,homicide,21-24 yrs,52,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.754508018493652 +1983,18,0,other external,21-24 yrs,53,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,12.999786376953125 +1983,18,0,internal,21-24 yrs,107,407699,22.49557113647461,1,0.11546184867620468,1.2699999809265137,0.1899999976158142,0.7300000190734863,2.190000057220459,26.24485206604004 +1984,18,0,MVA,15-17 yrs,81,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,31.039714813232422 +1984,18,0,suicide,15-17 yrs,21,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,8.047333717346191 +1984,18,0,homicide,15-17 yrs,11,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,4.215270042419434 +1984,18,0,other external,15-17 yrs,28,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,10.729778289794922 +1984,18,0,internal,15-17 yrs,32,260956,16.005510330200195,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.262603759765625 +1984,18,0,all,18-20 yrs,256,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,88.34989166259766 +1984,18,0,MVA,18-20 yrs,107,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,36.927494049072266 +1984,18,0,suicide,18-20 yrs,35,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.079087257385254 +1984,18,0,homicide,18-20 yrs,22,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,7.592568874359131 +1984,18,0,other external,18-20 yrs,34,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,11.733970642089844 +1984,18,0,internal,18-20 yrs,58,289757,19.043081283569336,0,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,20.016773223876953 +1984,18,0,all,21-24 yrs,353,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,88.37571716308594 +1984,18,0,MVA,21-24 yrs,140,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,35.04985809326172 +1984,18,0,suicide,21-24 yrs,50,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,12.517807006835938 +1984,18,0,homicide,21-24 yrs,39,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,9.76388931274414 +1984,18,0,other external,21-24 yrs,43,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,10.765314102172852 +1984,18,0,internal,21-24 yrs,81,399431,22.505939483642578,1,0.11068335175514221,1.2599999904632568,0.20999999344348907,0.7200000286102295,2.190000057220459,20.278846740722656 +1985,18,0,MVA,15-17 yrs,78,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,29.84400749206543 +1985,18,0,suicide,15-17 yrs,18,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,6.887078762054443 +1985,18,0,homicide,15-17 yrs,14,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,5.356616973876953 +1985,18,0,other external,15-17 yrs,32,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,12.243695259094238 +1985,18,0,internal,15-17 yrs,31,261359,15.985709190368652,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,11.861080169677734 +1985,18,0,all,18-20 yrs,244,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,87.98309326171875 +1985,18,0,MVA,18-20 yrs,117,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,42.18861389160156 +1985,18,0,suicide,18-20 yrs,34,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,12.259939193725586 +1985,18,0,homicide,18-20 yrs,23,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,8.293488502502441 +1985,18,0,other external,18-20 yrs,31,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,11.178179740905762 +1985,18,0,internal,18-20 yrs,39,277326,19.035160064697266,0,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,14.062871932983398 +1985,18,0,all,21-24 yrs,396,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,101.13650512695312 +1985,18,0,MVA,21-24 yrs,148,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,37.798492431640625 +1985,18,0,suicide,21-24 yrs,65,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,16.600688934326172 +1985,18,0,homicide,21-24 yrs,35,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,8.938833236694336 +1985,18,0,other external,21-24 yrs,51,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,13.025156021118164 +1985,18,0,internal,21-24 yrs,97,391550,22.509784698486328,1,0.10687732696533203,1.25,0.2199999988079071,0.7200000286102295,2.190000057220459,24.77333641052246 +1986,18,0,MVA,15-17 yrs,84,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,31.43100929260254 +1986,18,0,suicide,15-17 yrs,23,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,8.606109619140625 +1986,18,0,homicide,15-17 yrs,13,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,4.864322662353516 +1986,18,0,other external,15-17 yrs,25,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,9.354467391967773 +1986,18,0,internal,15-17 yrs,38,267252,15.979580879211426,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,14.218790054321289 +1986,18,0,all,18-20 yrs,268,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,100.4192886352539 +1986,18,0,MVA,18-20 yrs,123,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,46.087955474853516 +1986,18,0,suicide,18-20 yrs,34,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,12.739760398864746 +1986,18,0,homicide,18-20 yrs,22,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,8.243374824523926 +1986,18,0,other external,18-20 yrs,30,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,11.240964889526367 +1986,18,0,internal,18-20 yrs,59,266881,19.024112701416016,0,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,22.10723114013672 +1986,18,0,all,21-24 yrs,377,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,99.98514556884766 +1986,18,0,MVA,21-24 yrs,145,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,38.45582580566406 +1986,18,0,suicide,21-24 yrs,57,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,15.117117881774902 +1986,18,0,homicide,21-24 yrs,40,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,10.608503341674805 +1986,18,0,other external,21-24 yrs,42,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,11.13892936706543 +1986,18,0,internal,21-24 yrs,93,377056,22.506608963012695,1,0.10492701083421707,1.25,0.23000000417232513,0.6700000166893005,2.140000104904175,24.664772033691406 +1987,18,0,MVA,15-17 yrs,100,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,37.57448959350586 +1987,18,0,suicide,15-17 yrs,20,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,7.514898300170898 +1987,18,0,homicide,15-17 yrs,9,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,3.381704330444336 +1987,18,0,other external,15-17 yrs,23,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,8.642132759094238 +1987,18,0,internal,15-17 yrs,39,266138,16.01650619506836,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,14.654051780700684 +1987,18,0,all,18-20 yrs,229,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,86.30696868896484 +1987,18,0,MVA,18-20 yrs,109,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,41.08060836791992 +1987,18,0,suicide,18-20 yrs,34,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.81413459777832 +1987,18,0,homicide,18-20 yrs,15,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,5.653294563293457 +1987,18,0,other external,18-20 yrs,34,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.81413459777832 +1987,18,0,internal,18-20 yrs,37,265332,19.012218475341797,0,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,13.944793701171875 +1987,18,0,all,21-24 yrs,357,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,98.7248764038086 +1987,18,0,MVA,21-24 yrs,115,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,31.8021297454834 +1987,18,0,suicide,21-24 yrs,60,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,16.59241485595703 +1987,18,0,homicide,21-24 yrs,40,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,11.061610221862793 +1987,18,0,other external,21-24 yrs,44,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,12.167771339416504 +1987,18,0,internal,21-24 yrs,98,361611,22.517295837402344,1,0.10123239457607269,1.2400000095367432,0.2199999988079071,0.6700000166893005,2.130000114440918,27.1009464263916 +1988,18,0,MVA,15-17 yrs,90,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,34.91078186035156 +1988,18,0,suicide,15-17 yrs,29,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,11.249030113220215 +1988,18,0,homicide,15-17 yrs,16,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,6.206361293792725 +1988,18,0,other external,15-17 yrs,25,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,9.697440147399902 +1988,18,0,internal,15-17 yrs,57,257800,16.04970932006836,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.11016273498535 +1988,18,0,all,18-20 yrs,285,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,106.09309387207031 +1988,18,0,MVA,18-20 yrs,138,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,51.37139129638672 +1988,18,0,suicide,18-20 yrs,33,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,12.284463882446289 +1988,18,0,homicide,18-20 yrs,22,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,8.189641952514648 +1988,18,0,other external,18-20 yrs,31,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,11.539950370788574 +1988,18,0,internal,18-20 yrs,61,268632,18.993717193603516,0,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.707645416259766 +1988,18,0,all,21-24 yrs,361,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,103.55381774902344 +1988,18,0,MVA,21-24 yrs,141,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,40.44622802734375 +1988,18,0,suicide,21-24 yrs,52,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,14.916339874267578 +1988,18,0,homicide,21-24 yrs,42,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,12.047812461853027 +1988,18,0,other external,21-24 yrs,47,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,13.482075691223145 +1988,18,0,internal,21-24 yrs,79,348611,22.51918601989746,1,0.09721048176288605,1.2300000190734863,0.20999999344348907,0.6600000262260437,2.0999999046325684,22.661361694335938 +1989,18,0,MVA,15-17 yrs,79,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,32.24081802368164 +1989,18,0,suicide,15-17 yrs,24,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,9.794678688049316 +1989,18,0,homicide,15-17 yrs,15,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,6.121674537658691 +1989,18,0,other external,15-17 yrs,22,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,8.978455543518066 +1989,18,0,internal,15-17 yrs,35,245031,16.03252601623535,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,14.283906936645508 +1989,18,0,all,18-20 yrs,226,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,81.28501892089844 +1989,18,0,MVA,18-20 yrs,88,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,31.65080451965332 +1989,18,0,suicide,18-20 yrs,36,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,12.948057174682617 +1989,18,0,homicide,18-20 yrs,28,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,10.070711135864258 +1989,18,0,other external,18-20 yrs,26,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,9.351374626159668 +1989,18,0,internal,18-20 yrs,48,278034,18.98851203918457,0,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,17.264076232910156 +1989,18,0,all,21-24 yrs,326,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,97.78719329833984 +1989,18,0,MVA,21-24 yrs,109,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,32.695716857910156 +1989,18,0,suicide,21-24 yrs,58,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,17.397720336914062 +1989,18,0,homicide,21-24 yrs,37,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,11.098546028137207 +1989,18,0,other external,21-24 yrs,44,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,13.198270797729492 +1989,18,0,internal,21-24 yrs,78,333377,22.501495361328125,1,0.0927419364452362,1.2100000381469727,0.1899999976158142,0.6299999952316284,2.0399999618530273,23.396934509277344 +1990,18,0,MVA,15-17 yrs,64,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,26.924015045166016 +1990,18,0,suicide,15-17 yrs,23,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.67581844329834 +1990,18,0,homicide,15-17 yrs,16,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,6.731003761291504 +1990,18,0,other external,15-17 yrs,21,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,8.834442138671875 +1990,18,0,internal,15-17 yrs,42,237706,16.015880584716797,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,17.66888427734375 +1990,18,0,all,18-20 yrs,264,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,93.76432037353516 +1990,18,0,MVA,18-20 yrs,111,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,39.42363357543945 +1990,18,0,suicide,18-20 yrs,42,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,14.9170503616333 +1990,18,0,homicide,18-20 yrs,26,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.23436450958252 +1990,18,0,other external,18-20 yrs,33,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,11.720540046691895 +1990,18,0,internal,18-20 yrs,52,281557,19.028179168701172,0,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,18.46872901916504 +1990,18,0,all,21-24 yrs,306,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,92.94019317626953 +1990,18,0,MVA,21-24 yrs,116,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,35.23222732543945 +1990,18,0,suicide,21-24 yrs,53,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,16.097484588623047 +1990,18,0,homicide,21-24 yrs,32,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,9.71923542022705 +1990,18,0,other external,21-24 yrs,26,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,7.896878719329834 +1990,18,0,internal,21-24 yrs,79,329244,22.46671485900879,1,0.0879877582192421,1.2599999904632568,0.20000000298023224,0.6299999952316284,2.0899999141693115,23.99436378479004 +1991,18,0,MVA,15-17 yrs,79,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,33.2424430847168 +1991,18,0,suicide,15-17 yrs,30,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,12.623712539672852 +1991,18,0,homicide,15-17 yrs,17,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,7.15343713760376 +1991,18,0,other external,15-17 yrs,29,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,12.202921867370605 +1991,18,0,internal,15-17 yrs,46,237648,16.017230987548828,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,19.356359481811523 +1991,18,0,all,18-20 yrs,280,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,104.10198974609375 +1991,18,0,MVA,18-20 yrs,98,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,36.43569564819336 +1991,18,0,suicide,18-20 yrs,48,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,17.84605598449707 +1991,18,0,homicide,18-20 yrs,42,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,15.6152982711792 +1991,18,0,other external,18-20 yrs,28,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,10.410199165344238 +1991,18,0,internal,18-20 yrs,64,268967,19.064260482788086,0,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,23.794740676879883 +1991,18,0,all,21-24 yrs,309,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,91.397674560546875 +1991,18,0,MVA,21-24 yrs,96,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,28.39539337158203 +1991,18,0,suicide,21-24 yrs,48,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,14.197696685791016 +1991,18,0,homicide,21-24 yrs,55,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,16.2681941986084 +1991,18,0,other external,21-24 yrs,32,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,9.465131759643555 +1991,18,0,internal,21-24 yrs,78,338083,22.439592361450195,1,0.08443465828895569,1.2200000286102295,0.1899999976158142,0.6000000238418579,2,23.071258544921875 +1992,18,0,MVA,15-17 yrs,71,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,29.433223724365234 +1992,18,0,suicide,15-17 yrs,22,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,9.120153427124023 +1992,18,0,homicide,15-17 yrs,16,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,6.632839202880859 +1992,18,0,other external,15-17 yrs,27,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,11.192915916442871 +1992,18,0,internal,15-17 yrs,39,241224,16.01272201538086,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,16.167545318603516 +1992,18,0,all,18-20 yrs,222,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,87.551513671875 +1992,18,0,MVA,18-20 yrs,87,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,34.31072998046875 +1992,18,0,suicide,18-20 yrs,31,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,12.225662231445312 +1992,18,0,homicide,18-20 yrs,42,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,16.563800811767578 +1992,18,0,other external,18-20 yrs,18,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,7.098771572113037 +1992,18,0,internal,18-20 yrs,44,253565,19.041337966918945,0,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,17.35255241394043 +1992,18,0,all,21-24 yrs,331,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,94.51634216308594 +1992,18,0,MVA,21-24 yrs,103,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,29.411428451538086 +1992,18,0,suicide,21-24 yrs,52,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,14.848487854003906 +1992,18,0,homicide,21-24 yrs,55,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,15.705131530761719 +1992,18,0,other external,21-24 yrs,36,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,10.279722213745117 +1992,18,0,internal,21-24 yrs,85,350204,22.433744430541992,1,0.08196721225976944,1.159999966621399,0.20000000298023224,0.5799999833106995,1.9500000476837158,24.271568298339844 +1993,18,0,MVA,15-17 yrs,68,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,27.82904815673828 +1993,18,0,suicide,15-17 yrs,18,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,7.366512775421143 +1993,18,0,homicide,15-17 yrs,27,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,11.049769401550293 +1993,18,0,other external,15-17 yrs,14,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,5.7295098304748535 +1993,18,0,internal,15-17 yrs,37,244349,16.00505828857422,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.1422758102417 +1993,18,0,all,18-20 yrs,218,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,87.8741683959961 +1993,18,0,MVA,18-20 yrs,80,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,32.24740219116211 +1993,18,0,suicide,18-20 yrs,30,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,12.092775344848633 +1993,18,0,homicide,18-20 yrs,39,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.720608711242676 +1993,18,0,other external,18-20 yrs,21,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,8.464942932128906 +1993,18,0,internal,18-20 yrs,48,248082,19.00597381591797,0,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,19.34844207763672 +1993,18,0,all,21-24 yrs,320,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,90.367401123046875 +1993,18,0,MVA,21-24 yrs,89,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,25.133432388305664 +1993,18,0,suicide,21-24 yrs,63,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,17.79108238220215 +1993,18,0,homicide,21-24 yrs,56,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,15.814294815063477 +1993,18,0,other external,21-24 yrs,29,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,8.189545631408691 +1993,18,0,internal,21-24 yrs,83,354110,22.4854679107666,1,0.07958477735519409,1.149999976158142,0.1899999976158142,0.6399999856948853,1.9800000190734863,23.439044952392578 +1994,18,0,MVA,15-17 yrs,67,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,26.671550750732422 +1994,18,0,suicide,15-17 yrs,39,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,15.525230407714844 +1994,18,0,homicide,15-17 yrs,28,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,11.146319389343262 +1994,18,0,other external,15-17 yrs,17,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,6.76740837097168 +1994,18,0,internal,15-17 yrs,43,251204,16.009096145629883,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,17.11756134033203 +1994,18,0,all,18-20 yrs,250,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,101.02806091308594 +1994,18,0,MVA,18-20 yrs,95,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,38.390663146972656 +1994,18,0,suicide,18-20 yrs,33,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,13.33570384979248 +1994,18,0,homicide,18-20 yrs,54,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,21.82206153869629 +1994,18,0,other external,18-20 yrs,17,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,6.869908332824707 +1994,18,0,internal,18-20 yrs,51,247456,19.007104873657227,0,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,20.609724044799805 +1994,18,0,all,21-24 yrs,335,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,97.03395080566406 +1994,18,0,MVA,21-24 yrs,99,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,28.675703048706055 +1994,18,0,suicide,21-24 yrs,59,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,17.089561462402344 +1994,18,0,homicide,21-24 yrs,63,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,18.2481746673584 +1994,18,0,other external,21-24 yrs,30,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,8.689607620239258 +1994,18,0,internal,21-24 yrs,84,345240,22.54827308654785,1,0.07759784162044525,1.149999976158142,0.20000000298023224,0.5899999737739563,1.940000057220459,24.330900192260742 +1995,18,0,MVA,15-17 yrs,61,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,23.58025550842285 +1995,18,0,suicide,15-17 yrs,22,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,8.504354476928711 +1995,18,0,homicide,15-17 yrs,37,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,14.302778244018555 +1995,18,0,other external,15-17 yrs,28,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,10.823723793029785 +1995,18,0,internal,15-17 yrs,40,258691,15.995187759399414,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,15.46246337890625 +1995,18,0,all,18-20 yrs,255,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,101.57176971435547 +1995,18,0,MVA,18-20 yrs,86,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,34.255577087402344 +1995,18,0,suicide,18-20 yrs,40,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,15.93282699584961 +1995,18,0,homicide,18-20 yrs,56,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,22.305957794189453 +1995,18,0,other external,18-20 yrs,24,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,9.559696197509766 +1995,18,0,internal,18-20 yrs,49,251054,19.000932693481445,0,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,19.51771354675293 +1995,18,0,all,21-24 yrs,384,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,115.85317993164062 +1995,18,0,MVA,21-24 yrs,114,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,34.39391326904297 +1995,18,0,suicide,21-24 yrs,66,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,19.91226577758789 +1995,18,0,homicide,21-24 yrs,72,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,21.722471237182617 +1995,18,0,other external,21-24 yrs,38,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,11.464637756347656 +1995,18,0,internal,21-24 yrs,94,331454,22.56148338317871,1,0.075459323823452,1.1200000047683716,0.20999999344348907,0.5799999833106995,1.909999966621399,28.359893798828125 +1996,18,0,MVA,15-17 yrs,84,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,31.90228843688965 +1996,18,0,suicide,15-17 yrs,24,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,9.11493968963623 +1996,18,0,homicide,15-17 yrs,24,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,9.11493968963623 +1996,18,0,other external,15-17 yrs,17,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,6.456415176391602 +1996,18,0,internal,15-17 yrs,39,263304,16.00756072998047,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,14.811776161193848 +1996,18,0,all,18-20 yrs,254,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,100.04450988769531 +1996,18,0,MVA,18-20 yrs,101,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,39.78147888183594 +1996,18,0,suicide,18-20 yrs,37,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,14.573412895202637 +1996,18,0,homicide,18-20 yrs,41,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,16.148916244506836 +1996,18,0,other external,18-20 yrs,26,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,10.240776062011719 +1996,18,0,internal,18-20 yrs,49,253887,18.993261337280273,0,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,19.299924850463867 +1996,18,0,all,21-24 yrs,307,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,96.65242767333984 +1996,18,0,MVA,21-24 yrs,77,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,24.24181365966797 +1996,18,0,suicide,21-24 yrs,56,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,17.630409240722656 +1996,18,0,homicide,21-24 yrs,70,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,22.03801155090332 +1996,18,0,other external,21-24 yrs,25,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,7.870718955993652 +1996,18,0,internal,21-24 yrs,79,317633,22.512248992919922,1,0.07329509407281876,1.1299999952316284,0.1899999976158142,0.5699999928474426,1.8899999856948853,24.871471405029297 +1970,19,0,MVA,15-17 yrs,71,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,42.16202163696289 +1970,19,0,suicide,15-17 yrs,6,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,3.5629875659942627 +1970,19,0,homicide,15-17 yrs,1,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,0.5938313007354736 +1970,19,0,other external,15-17 yrs,31,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,18.408769607543945 +1970,19,0,internal,15-17 yrs,32,168398,15.990498542785645,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,19.002601623535156 +1970,19,0,all,18-20 yrs,219,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,145.44247436523438 +1970,19,0,MVA,18-20 yrs,127,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,84.343353271484375 +1970,19,0,suicide,18-20 yrs,9,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,5.97708797454834 +1970,19,0,homicide,18-20 yrs,4,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,2.6564834117889404 +1970,19,0,other external,18-20 yrs,35,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,23.244230270385742 +1970,19,0,internal,18-20 yrs,44,150575,18.93042755126953,0,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,29.2213191986084 +1970,19,0,all,21-24 yrs,206,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,129.90289306640625 +1970,19,0,MVA,21-24 yrs,103,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,64.951446533203125 +1970,19,0,suicide,21-24 yrs,11,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,6.9365620613098145 +1970,19,0,homicide,21-24 yrs,4,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,2.522386074066162 +1970,19,0,other external,21-24 yrs,24,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,15.134317398071289 +1970,19,0,internal,21-24 yrs,64,158580,22.4058780670166,1,0.30927833914756775,1.090000033378601,0.05999999865889549,0.6800000071525574,1.8300000429153442,40.358177185058594 +1971,19,0,MVA,15-17 yrs,80,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,47.04996871948242 +1971,19,0,suicide,15-17 yrs,6,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,3.52874755859375 +1971,19,0,homicide,15-17 yrs,3,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,1.764373779296875 +1971,19,0,other external,15-17 yrs,32,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,18.81998634338379 +1971,19,0,internal,15-17 yrs,36,170032,15.987784385681152,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,21.1724853515625 +1971,19,0,all,18-20 yrs,195,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,125.07215881347656 +1971,19,0,MVA,18-20 yrs,102,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,65.42235565185547 +1971,19,0,suicide,18-20 yrs,10,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,6.413956642150879 +1971,19,0,homicide,18-20 yrs,2,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,1.2827913761138916 +1971,19,0,other external,18-20 yrs,33,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,21.166057586669922 +1971,19,0,internal,18-20 yrs,48,155910,18.97466468811035,0,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,30.7869930267334 +1971,19,0,all,21-24 yrs,217,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,120.33560943603516 +1971,19,0,MVA,21-24 yrs,104,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,57.672367095947266 +1971,19,0,suicide,21-24 yrs,26,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,14.418091773986816 +1971,19,0,homicide,21-24 yrs,7,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,3.881793737411499 +1971,19,0,other external,21-24 yrs,26,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,14.418091773986816 +1971,19,0,internal,21-24 yrs,54,180329,22.52444076538086,1,0.34567901492118835,1.100000023841858,0.07000000029802322,0.7099999785423279,1.8899999856948853,29.945266723632812 +1972,19,0.4960145950317383,MVA,15-17 yrs,76,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,44.2645378112793 +1972,19,0.4960145950317383,suicide,15-17 yrs,8,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,4.659425258636475 +1972,19,0.4960145950317383,homicide,15-17 yrs,0,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,0 +1972,19,0.4960145950317383,other external,15-17 yrs,32,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,18.6377010345459 +1972,19,0.4960145950317383,internal,15-17 yrs,38,171695,15.981776237487793,0,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,22.13226890563965 +1972,19,0.4960145950317383,all,18-20 yrs,206,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,131.0674285888672 +1972,19,0.4960145950317383,MVA,18-20 yrs,140,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,89.07495880126953 +1972,19,0.4960145950317383,suicide,18-20 yrs,12,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,7.63499641418457 +1972,19,0.4960145950317383,homicide,18-20 yrs,2,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,1.2724993228912354 +1972,19,0.4960145950317383,other external,18-20 yrs,18,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,11.452494621276855 +1972,19,0.4960145950317383,internal,18-20 yrs,34,157171,18.98702621459961,0.4960145950317383,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,21.632490158081055 +1972,19,0.4960145950317383,all,21-24 yrs,196,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,105.29878234863281 +1972,19,0.4960145950317383,MVA,21-24 yrs,94,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,50.50043869018555 +1972,19,0.4960145950317383,suicide,21-24 yrs,14,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,7.521341800689697 +1972,19,0.4960145950317383,homicide,21-24 yrs,12,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,6.446864604949951 +1972,19,0.4960145950317383,other external,21-24 yrs,16,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,8.595819473266602 +1972,19,0.4960145950317383,internal,21-24 yrs,60,186137,22.484289169311523,1,0.3349282443523407,1.1200000047683716,0.07999999821186066,0.6899999976158142,1.8799999952316284,32.23432159423828 +1973,19,0.8298145532608032,MVA,15-17 yrs,98,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,56.48936080932617 +1973,19,0.8298145532608032,suicide,15-17 yrs,5,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,2.882110118865967 +1973,19,0.8298145532608032,homicide,15-17 yrs,5,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,2.882110118865967 +1973,19,0.8298145532608032,other external,15-17 yrs,34,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,19.59834861755371 +1973,19,0.8298145532608032,internal,15-17 yrs,36,173484,15.984431266784668,0,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.75119400024414 +1973,19,0.8298145532608032,all,18-20 yrs,191,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,122.05720520019531 +1973,19,0.8298145532608032,MVA,18-20 yrs,112,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,71.57281494140625 +1973,19,0.8298145532608032,suicide,18-20 yrs,10,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,6.390429496765137 +1973,19,0.8298145532608032,homicide,18-20 yrs,7,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,4.473300933837891 +1973,19,0.8298145532608032,other external,18-20 yrs,32,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.44937515258789 +1973,19,0.8298145532608032,internal,18-20 yrs,30,156484,18.978361129760742,0.8298145532608032,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,19.171289443969727 +1973,19,0.8298145532608032,all,21-24 yrs,250,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,130.33187866210938 +1973,19,0.8298145532608032,MVA,21-24 yrs,126,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,65.68726348876953 +1973,19,0.8298145532608032,suicide,21-24 yrs,26,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,13.55451488494873 +1973,19,0.8298145532608032,homicide,21-24 yrs,7,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,3.649292469024658 +1973,19,0.8298145532608032,other external,21-24 yrs,40,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,20.853099822998047 +1973,19,0.8298145532608032,internal,21-24 yrs,51,191818,22.483631134033203,1,0.315315306186676,1.1699999570846558,0.09000000357627869,0.7300000190734863,1.9800000190734863,26.587703704833984 +1974,19,1,MVA,15-17 yrs,73,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,41.812007904052734 +1974,19,1,suicide,15-17 yrs,9,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,5.154904842376709 +1974,19,1,homicide,15-17 yrs,4,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,2.2910687923431396 +1974,19,1,other external,15-17 yrs,27,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,15.464715003967285 +1974,19,1,internal,15-17 yrs,39,174591,15.991878509521484,0,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,22.337921142578125 +1974,19,1,all,18-20 yrs,232,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,145.7506103515625 +1974,19,1,MVA,18-20 yrs,101,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,63.451778411865234 +1974,19,1,suicide,18-20 yrs,22,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,13.821179389953613 +1974,19,1,homicide,18-20 yrs,11,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,6.910589694976807 +1974,19,1,other external,18-20 yrs,43,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,27.014122009277344 +1974,19,1,internal,18-20 yrs,55,159176,18.98309326171875,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,34.552947998046875 +1974,19,1,all,21-24 yrs,236,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,121.56175994873047 +1974,19,1,MVA,21-24 yrs,109,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,56.145050048828125 +1974,19,1,suicide,21-24 yrs,23,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,11.84712028503418 +1974,19,1,homicide,21-24 yrs,5,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,2.575460910797119 +1974,19,1,other external,21-24 yrs,46,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,23.69424057006836 +1974,19,1,internal,21-24 yrs,53,194140,22.492406845092773,1,0.28397566080093384,1.25,0.09000000357627869,0.75,2.0899999141693115,27.29988670349121 +1975,19,1,MVA,15-17 yrs,72,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,41.01255416870117 +1975,19,1,suicide,15-17 yrs,9,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,5.1265692710876465 +1975,19,1,homicide,15-17 yrs,3,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,1.708856463432312 +1975,19,1,other external,15-17 yrs,35,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,19.93665885925293 +1975,19,1,internal,15-17 yrs,33,175556,15.991353034973145,0,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,18.797420501708984 +1975,19,1,all,18-20 yrs,225,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,138.2140350341797 +1975,19,1,MVA,18-20 yrs,107,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,65.72844696044922 +1975,19,1,suicide,18-20 yrs,13,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,7.985699653625488 +1975,19,1,homicide,18-20 yrs,10,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,6.142845630645752 +1975,19,1,other external,18-20 yrs,46,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,28.257089614868164 +1975,19,1,internal,18-20 yrs,49,162791,18.979305267333984,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,30.099943161010742 +1975,19,1,all,21-24 yrs,245,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,123.5022201538086 +1975,19,1,MVA,21-24 yrs,118,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,59.48270034790039 +1975,19,1,suicide,21-24 yrs,25,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,12.602267265319824 +1975,19,1,homicide,21-24 yrs,6,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,3.0245442390441895 +1975,19,1,other external,21-24 yrs,47,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,23.692262649536133 +1975,19,1,internal,21-24 yrs,49,198377,22.50421714782715,1,0.26022306084632874,1.2699999809265137,0.09000000357627869,0.7599999904632568,2.130000114440918,24.700443267822266 +1976,19,1,MVA,15-17 yrs,78,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,43.98082733154297 +1976,19,1,suicide,15-17 yrs,7,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,3.9469974040985107 +1976,19,1,homicide,15-17 yrs,3,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,1.6915702819824219 +1976,19,1,other external,15-17 yrs,28,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,15.787989616394043 +1976,19,1,internal,15-17 yrs,25,177350,15.986817359924316,0,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,14.096419334411621 +1976,19,1,all,18-20 yrs,229,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,137.2827606201172 +1976,19,1,MVA,18-20 yrs,128,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,76.734466552734375 +1976,19,1,suicide,18-20 yrs,17,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,10.191296577453613 +1976,19,1,homicide,18-20 yrs,9,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,5.395392417907715 +1976,19,1,other external,18-20 yrs,40,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,23.979520797729492 +1976,19,1,internal,18-20 yrs,35,166809,18.98387336730957,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,20.982080459594727 +1976,19,1,all,21-24 yrs,238,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,118.17279052734375 +1976,19,1,MVA,21-24 yrs,98,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,48.659385681152344 +1976,19,1,suicide,21-24 yrs,42,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,20.854021072387695 +1976,19,1,homicide,21-24 yrs,5,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,2.482621669769287 +1976,19,1,other external,21-24 yrs,40,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,19.860973358154297 +1976,19,1,internal,21-24 yrs,53,201400,22.496807098388672,1,0.24604569375514984,1.2799999713897705,0.10000000149011612,0.7699999809265137,2.1500000953674316,26.3157901763916 +1977,19,1,MVA,15-17 yrs,61,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,34.4739875793457 +1977,19,1,suicide,15-17 yrs,6,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,3.3908841609954834 +1977,19,1,homicide,15-17 yrs,3,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,1.6954420804977417 +1977,19,1,other external,15-17 yrs,29,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,16.389272689819336 +1977,19,1,internal,15-17 yrs,34,176945,15.996382713317871,0,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,19.215009689331055 +1977,19,1,all,18-20 yrs,188,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,111.02384185791016 +1977,19,1,MVA,18-20 yrs,95,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,56.102474212646484 +1977,19,1,suicide,18-20 yrs,32,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,18.897674560546875 +1977,19,1,homicide,18-20 yrs,4,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,2.3622093200683594 +1977,19,1,other external,18-20 yrs,28,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,16.535465240478516 +1977,19,1,internal,18-20 yrs,29,169333,18.994295120239258,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,17.126018524169922 +1977,19,1,all,21-24 yrs,233,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,114.58020782470703 +1977,19,1,MVA,21-24 yrs,98,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,48.192535400390625 +1977,19,1,suicide,21-24 yrs,35,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,17.211618423461914 +1977,19,1,homicide,21-24 yrs,8,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,3.934084415435791 +1977,19,1,other external,21-24 yrs,41,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,20.162181854248047 +1977,19,1,internal,21-24 yrs,51,203351,22.480209350585938,1,0.23102310299873352,1.3300000429153442,0.10000000149011612,0.7400000095367432,2.1700000762939453,25.079788208007812 +1978,19,0.9573912024497986,MVA,15-17 yrs,62,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,35.64632034301758 +1978,19,0.9573912024497986,suicide,15-17 yrs,9,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,5.174465656280518 +1978,19,0.9573912024497986,homicide,15-17 yrs,6,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,3.449643850326538 +1978,19,0.9573912024497986,other external,15-17 yrs,20,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,11.498812675476074 +1978,19,0.9573912024497986,internal,15-17 yrs,31,173931,16.01287269592285,0,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,17.82316017150879 +1978,19,0.9573912024497986,all,18-20 yrs,195,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,114.20004272460938 +1978,19,0.9573912024497986,MVA,18-20 yrs,106,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,62.077972412109375 +1978,19,0.9573912024497986,suicide,18-20 yrs,20,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,11.712824821472168 +1978,19,0.9573912024497986,homicide,18-20 yrs,3,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,1.756923794746399 +1978,19,0.9573912024497986,other external,18-20 yrs,30,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,17.569236755371094 +1978,19,0.9573912024497986,internal,18-20 yrs,36,170753,18.99518585205078,0.9573912024497986,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,21.083084106445312 +1978,19,0.9573912024497986,all,21-24 yrs,198,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,95.3045654296875 +1978,19,0.9573912024497986,MVA,21-24 yrs,95,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,45.72693634033203 +1978,19,0.9573912024497986,suicide,21-24 yrs,30,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,14.440085411071777 +1978,19,0.9573912024497986,homicide,21-24 yrs,7,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,3.3693532943725586 +1978,19,0.9573912024497986,other external,21-24 yrs,27,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,12.996077537536621 +1978,19,0.9573912024497986,internal,21-24 yrs,39,207755,22.473283767700195,1,0.21472394466400146,1.3799999952316284,0.10999999940395355,0.7400000095367432,2.2200000286102295,18.772111892700195 +1979,19,0.7068474292755127,MVA,15-17 yrs,73,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,43.45212173461914 +1979,19,0.7068474292755127,suicide,15-17 yrs,10,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,5.952345371246338 +1979,19,0.7068474292755127,homicide,15-17 yrs,2,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,1.1904691457748413 +1979,19,0.7068474292755127,other external,15-17 yrs,27,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,16.071332931518555 +1979,19,0.7068474292755127,internal,15-17 yrs,29,168001,16.015363693237305,0,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,17.261802673339844 +1979,19,0.7068474292755127,all,18-20 yrs,194,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,112.7114028930664 +1979,19,0.7068474292755127,MVA,18-20 yrs,102,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,59.26063537597656 +1979,19,0.7068474292755127,suicide,18-20 yrs,14,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,8.13381290435791 +1979,19,0.7068474292755127,homicide,18-20 yrs,7,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,4.066906452178955 +1979,19,0.7068474292755127,other external,18-20 yrs,35,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.334531784057617 +1979,19,0.7068474292755127,internal,18-20 yrs,36,172121,18.99233055114746,0.7068474292755127,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.915517807006836 +1979,19,0.7068474292755127,all,21-24 yrs,249,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,117.91726684570312 +1979,19,0.7068474292755127,MVA,21-24 yrs,110,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,52.09196472167969 +1979,19,0.7068474292755127,suicide,21-24 yrs,27,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,12.786210060119629 +1979,19,0.7068474292755127,homicide,21-24 yrs,13,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,6.156323432922363 +1979,19,0.7068474292755127,other external,21-24 yrs,44,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,20.8367862701416 +1979,19,0.7068474292755127,internal,21-24 yrs,55,211165,22.472753524780273,1,0.19283747673034668,1.399999976158142,0.10999999940395355,0.7099999785423279,2.2200000286102295,26.045982360839844 +1980,19,0.6759015917778015,MVA,15-17 yrs,65,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,40.652950286865234 +1980,19,0.6759015917778015,suicide,15-17 yrs,7,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,4.378009796142578 +1980,19,0.6759015917778015,homicide,15-17 yrs,3,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,1.876289963722229 +1980,19,0.6759015917778015,other external,15-17 yrs,17,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,10.632309913635254 +1980,19,0.6759015917778015,internal,15-17 yrs,21,159890,16.02406120300293,0,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,13.134029388427734 +1980,19,0.6759015917778015,all,18-20 yrs,213,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,123.22252655029297 +1980,19,0.6759015917778015,MVA,18-20 yrs,112,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,64.7930679321289 +1980,19,0.6759015917778015,suicide,18-20 yrs,16,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,9.256152153015137 +1980,19,0.6759015917778015,homicide,18-20 yrs,8,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,4.628076076507568 +1980,19,0.6759015917778015,other external,18-20 yrs,49,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,28.346967697143555 +1980,19,0.6759015917778015,internal,18-20 yrs,28,172858,19.00791358947754,0.6759015917778015,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,16.198266983032227 +1980,19,0.6759015917778015,all,21-24 yrs,207,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,96.215972900390625 +1980,19,0.6759015917778015,MVA,21-24 yrs,99,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,46.016334533691406 +1980,19,0.6759015917778015,suicide,21-24 yrs,28,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,13.014720916748047 +1980,19,0.6759015917778015,homicide,21-24 yrs,16,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,7.436983108520508 +1980,19,0.6759015917778015,other external,21-24 yrs,23,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,10.69066333770752 +1980,19,0.6759015917778015,internal,21-24 yrs,41,215141,22.474618911743164,1,0.16990290582180023,1.409999966621399,0.12999999523162842,0.7099999785423279,2.25,19.057270050048828 +1981,19,0.6856397390365601,MVA,15-17 yrs,48,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,31.68860626220703 +1981,19,0.6856397390365601,suicide,15-17 yrs,9,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,5.941613674163818 +1981,19,0.6856397390365601,homicide,15-17 yrs,1,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,0.6601793169975281 +1981,19,0.6856397390365601,other external,15-17 yrs,16,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.56286907196045 +1981,19,0.6856397390365601,internal,15-17 yrs,23,151474,16.035701751708984,0,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,15.184123992919922 +1981,19,0.6856397390365601,all,18-20 yrs,180,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,106.76789855957031 +1981,19,0.6856397390365601,MVA,18-20 yrs,110,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,65.2470474243164 +1981,19,0.6856397390365601,suicide,18-20 yrs,23,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,13.64256477355957 +1981,19,0.6856397390365601,homicide,18-20 yrs,4,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,2.372619867324829 +1981,19,0.6856397390365601,other external,18-20 yrs,18,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.676790237426758 +1981,19,0.6856397390365601,internal,18-20 yrs,25,168590,19.031448364257812,0.6856397390365601,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,14.828874588012695 +1981,19,0.6856397390365601,all,21-24 yrs,200,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,92.39752960205078 +1981,19,0.6856397390365601,MVA,21-24 yrs,100,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,46.19876480102539 +1981,19,0.6856397390365601,suicide,21-24 yrs,23,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,10.625716209411621 +1981,19,0.6856397390365601,homicide,21-24 yrs,17,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,7.853790283203125 +1981,19,0.6856397390365601,other external,21-24 yrs,25,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,11.549691200256348 +1981,19,0.6856397390365601,internal,21-24 yrs,35,216456,22.479320526123047,1,0.1540154069662094,1.440000057220459,0.12999999523162842,0.6899999976158142,2.2699999809265137,16.169567108154297 +1982,19,0.6818255186080933,MVA,15-17 yrs,51,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,35.80656051635742 +1982,19,0.6818255186080933,suicide,15-17 yrs,8,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,5.616715431213379 +1982,19,0.6818255186080933,homicide,15-17 yrs,1,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,0.7020894289016724 +1982,19,0.6818255186080933,other external,15-17 yrs,18,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.637609481811523 +1982,19,0.6818255186080933,internal,15-17 yrs,30,142432,16.028968811035156,0,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,21.06268310546875 +1982,19,0.6818255186080933,all,18-20 yrs,127,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,78.66407012939453 +1982,19,0.6818255186080933,MVA,18-20 yrs,60,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,37.164127349853516 +1982,19,0.6818255186080933,suicide,18-20 yrs,20,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.388043403625488 +1982,19,0.6818255186080933,homicide,18-20 yrs,8,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,4.955217361450195 +1982,19,0.6818255186080933,other external,18-20 yrs,21,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,13.007445335388184 +1982,19,0.6818255186080933,internal,18-20 yrs,18,161446,19.027345657348633,0.6818255186080933,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,11.149238586425781 +1982,19,0.6818255186080933,all,21-24 yrs,181,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,83.94981384277344 +1982,19,0.6818255186080933,MVA,21-24 yrs,65,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,30.147724151611328 +1982,19,0.6818255186080933,suicide,21-24 yrs,28,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,12.986711502075195 +1982,19,0.6818255186080933,homicide,21-24 yrs,10,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,4.638111591339111 +1982,19,0.6818255186080933,other external,21-24 yrs,34,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,15.76957893371582 +1982,19,0.6818255186080933,internal,21-24 yrs,44,215605,22.471696853637695,1,0.14507772028446198,1.3899999856948853,0.12999999523162842,0.6499999761581421,2.1700000762939453,20.407690048217773 +1983,19,0.6865283846855164,MVA,15-17 yrs,38,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,28.11295509338379 +1983,19,0.6865283846855164,suicide,15-17 yrs,15,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,11.097219467163086 +1983,19,0.6865283846855164,homicide,15-17 yrs,3,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,2.2194437980651855 +1983,19,0.6865283846855164,other external,15-17 yrs,13,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,9.617589950561523 +1983,19,0.6865283846855164,internal,15-17 yrs,10,135169,16.02018165588379,0,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,7.398146152496338 +1983,19,0.6865283846855164,all,18-20 yrs,159,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,103.24809265136719 +1983,19,0.6865283846855164,MVA,18-20 yrs,77,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,50.000648498535156 +1983,19,0.6865283846855164,suicide,18-20 yrs,27,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,17.532695770263672 +1983,19,0.6865283846855164,homicide,18-20 yrs,7,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,4.54551362991333 +1983,19,0.6865283846855164,other external,18-20 yrs,19,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,12.337822914123535 +1983,19,0.6865283846855164,internal,18-20 yrs,29,153998,19.029611587524414,0.6865283846855164,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,18.83141326904297 +1983,19,0.6865283846855164,all,21-24 yrs,172,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,80.88903045654297 +1983,19,0.6865283846855164,MVA,21-24 yrs,70,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,32.919952392578125 +1983,19,0.6865283846855164,suicide,21-24 yrs,28,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,13.167981147766113 +1983,19,0.6865283846855164,homicide,21-24 yrs,8,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,3.762280225753784 +1983,19,0.6865283846855164,other external,21-24 yrs,34,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,15.989691734313965 +1983,19,0.6865283846855164,internal,21-24 yrs,32,212637,22.481605529785156,1,0.1405622512102127,1.3799999952316284,0.12999999523162842,0.6399999856948853,2.1500000953674316,15.049120903015137 +1984,19,0.6910039186477661,MVA,15-17 yrs,32,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,24.19220733642578 +1984,19,0.6910039186477661,suicide,15-17 yrs,19,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,14.364123344421387 +1984,19,0.6910039186477661,homicide,15-17 yrs,3,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,2.268019437789917 +1984,19,0.6910039186477661,other external,15-17 yrs,13,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,9.828083992004395 +1984,19,0.6910039186477661,internal,15-17 yrs,16,132274,16.0044002532959,0,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,12.09610366821289 +1984,19,0.6910039186477661,all,18-20 yrs,152,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,103.50486755371094 +1984,19,0.6910039186477661,MVA,18-20 yrs,62,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,42.21908950805664 +1984,19,0.6910039186477661,suicide,18-20 yrs,24,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,16.342872619628906 +1984,19,0.6910039186477661,homicide,18-20 yrs,10,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,6.809530735015869 +1984,19,0.6910039186477661,other external,18-20 yrs,24,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,16.342872619628906 +1984,19,0.6910039186477661,internal,18-20 yrs,32,146853,19.04134750366211,0.6910039186477661,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,21.790498733520508 +1984,19,0.6910039186477661,all,21-24 yrs,163,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,78.80601501464844 +1984,19,0.6910039186477661,MVA,21-24 yrs,53,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,25.624042510986328 +1984,19,0.6910039186477661,suicide,21-24 yrs,32,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,15.47111988067627 +1984,19,0.6910039186477661,homicide,21-24 yrs,8,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,3.8677799701690674 +1984,19,0.6910039186477661,other external,21-24 yrs,33,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,15.95459270477295 +1984,19,0.6910039186477661,internal,21-24 yrs,37,206837,22.504581451416016,1,0.13474494218826294,1.3600000143051147,0.11999999731779099,0.6100000143051147,2.0899999141693115,17.88848304748535 +1985,19,0.6857091188430786,MVA,15-17 yrs,35,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,26.690866470336914 +1985,19,0.6857091188430786,suicide,15-17 yrs,18,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,13.726731300354004 +1985,19,0.6857091188430786,homicide,15-17 yrs,0,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,0 +1985,19,0.6857091188430786,other external,15-17 yrs,18,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,13.726731300354004 +1985,19,0.6857091188430786,internal,15-17 yrs,13,131131,15.98906421661377,0,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,9.913750648498535 +1985,19,0.6857091188430786,all,18-20 yrs,134,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,96.86280059814453 +1985,19,0.6857091188430786,MVA,18-20 yrs,67,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,48.431400299072266 +1985,19,0.6857091188430786,suicide,18-20 yrs,20,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,14.457134246826172 +1985,19,0.6857091188430786,homicide,18-20 yrs,8,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,5.782853603363037 +1985,19,0.6857091188430786,other external,18-20 yrs,17,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.288564682006836 +1985,19,0.6857091188430786,internal,18-20 yrs,22,138340,19.03322982788086,0.6857091188430786,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,15.902848243713379 +1985,19,0.6857091188430786,all,21-24 yrs,159,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,80.25439453125 +1985,19,0.6857091188430786,MVA,21-24 yrs,71,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,35.83686828613281 +1985,19,0.6857091188430786,suicide,21-24 yrs,32,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,16.151826858520508 +1985,19,0.6857091188430786,homicide,21-24 yrs,6,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,3.0284676551818848 +1985,19,0.6857091188430786,other external,21-24 yrs,25,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.61861515045166 +1985,19,0.6857091188430786,internal,21-24 yrs,25,198120,22.516460418701172,1,0.13011153042316437,1.309999942779541,0.14000000059604645,0.5699999928474426,2.0199999809265137,12.61861515045166 +1986,19,0.662397563457489,MVA,15-17 yrs,48,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,36.65549087524414 +1986,19,0.662397563457489,suicide,15-17 yrs,17,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,12.982152938842773 +1986,19,0.662397563457489,homicide,15-17 yrs,5,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,3.8182804584503174 +1986,19,0.662397563457489,other external,15-17 yrs,12,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,9.163872718811035 +1986,19,0.662397563457489,internal,15-17 yrs,19,130949,15.992951393127441,0,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,14.509465217590332 +1986,19,0.662397563457489,all,18-20 yrs,127,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,96.800994873046875 +1986,19,0.662397563457489,MVA,18-20 yrs,63,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,48.01939010620117 +1986,19,0.662397563457489,suicide,18-20 yrs,19,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,14.482038497924805 +1986,19,0.662397563457489,homicide,18-20 yrs,6,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,4.573275089263916 +1986,19,0.662397563457489,other external,18-20 yrs,16,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,12.195401191711426 +1986,19,0.662397563457489,internal,18-20 yrs,23,131197,19.021982192993164,0.662397563457489,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,17.5308895111084 +1986,19,0.662397563457489,all,21-24 yrs,150,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,80.839874267578125 +1986,19,0.662397563457489,MVA,21-24 yrs,52,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,28.02448844909668 +1986,19,0.662397563457489,suicide,21-24 yrs,34,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,18.32370376586914 +1986,19,0.662397563457489,homicide,21-24 yrs,7,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,3.7725274562835693 +1986,19,0.662397563457489,other external,21-24 yrs,25,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,13.473312377929688 +1986,19,0.662397563457489,internal,21-24 yrs,32,185552,22.515094757080078,1,0.17335766553878784,1.3200000524520874,0.1899999976158142,0.5299999713897705,2.0399999618530273,17.245840072631836 +1987,19,0.38995814323425293,MVA,15-17 yrs,41,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,32.420806884765625 +1987,19,0.38995814323425293,suicide,15-17 yrs,12,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.48901653289795 +1987,19,0.38995814323425293,homicide,15-17 yrs,1,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,0.7907513976097107 +1987,19,0.38995814323425293,other external,15-17 yrs,15,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,11.861270904541016 +1987,19,0.38995814323425293,internal,15-17 yrs,20,126462,16.034025192260742,0,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,15.815027236938477 +1987,19,0.38995814323425293,all,18-20 yrs,118,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,91.71601867675781 +1987,19,0.38995814323425293,MVA,18-20 yrs,53,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,41.19448471069336 +1987,19,0.38995814323425293,suicide,18-20 yrs,19,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,14.767833709716797 +1987,19,0.38995814323425293,homicide,18-20 yrs,5,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,3.8862721920013428 +1987,19,0.38995814323425293,other external,18-20 yrs,12,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.32705307006836 +1987,19,0.38995814323425293,internal,18-20 yrs,29,128658,19.00493621826172,0.38995814323425293,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,22.54037857055664 +1987,19,0.38995814323425293,all,21-24 yrs,133,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,76.619964599609375 +1987,19,0.38995814323425293,MVA,21-24 yrs,55,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,31.684947967529297 +1987,19,0.38995814323425293,suicide,21-24 yrs,26,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,14.978339195251465 +1987,19,0.38995814323425293,homicide,21-24 yrs,5,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,2.8804497718811035 +1987,19,0.38995814323425293,other external,21-24 yrs,16,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,9.217439651489258 +1987,19,0.38995814323425293,internal,21-24 yrs,31,173584,22.514436721801758,1,0.1672535240650177,1.2999999523162842,0.20999999344348907,0.5699999928474426,2.0799999237060547,17.858789443969727 +1988,19,0.07195916026830673,MVA,15-17 yrs,38,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,31.66376495361328 +1988,19,0.07195916026830673,suicide,15-17 yrs,11,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,9.165826797485352 +1988,19,0.07195916026830673,homicide,15-17 yrs,1,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,0.8332569599151611 +1988,19,0.07195916026830673,other external,15-17 yrs,7,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,5.832798480987549 +1988,19,0.07195916026830673,internal,15-17 yrs,15,120011,16.065143585205078,0,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,12.498854637145996 +1988,19,0.07195916026830673,all,18-20 yrs,114,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,87.69163513183594 +1988,19,0.07195916026830673,MVA,18-20 yrs,63,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,48.46116638183594 +1988,19,0.07195916026830673,suicide,18-20 yrs,19,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,14.615272521972656 +1988,19,0.07195916026830673,homicide,18-20 yrs,3,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,2.3076746463775635 +1988,19,0.07195916026830673,other external,18-20 yrs,16,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,12.307597160339355 +1988,19,0.07195916026830673,internal,18-20 yrs,13,130001,18.99031639099121,0.07195916026830673,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,9.999922752380371 +1988,19,0.07195916026830673,all,21-24 yrs,150,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,90.75123596191406 +1988,19,0.07195916026830673,MVA,21-24 yrs,75,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,45.37561798095703 +1988,19,0.07195916026830673,suicide,21-24 yrs,27,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,16.335222244262695 +1988,19,0.07195916026830673,homicide,21-24 yrs,4,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,2.4200329780578613 +1988,19,0.07195916026830673,other external,21-24 yrs,18,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,10.890149116516113 +1988,19,0.07195916026830673,internal,21-24 yrs,26,165287,22.510107040405273,1,0.16060861945152283,1.2799999713897705,0.20000000298023224,0.5199999809265137,1.9900000095367432,15.730215072631836 +1989,19,0,MVA,15-17 yrs,39,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,34.324337005615234 +1989,19,0,suicide,15-17 yrs,18,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,15.842002868652344 +1989,19,0,homicide,15-17 yrs,2,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,1.7602224349975586 +1989,19,0,other external,15-17 yrs,10,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,8.801112174987793 +1989,19,0,internal,15-17 yrs,20,113622,16.036216735839844,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,17.602224349975586 +1989,19,0,all,18-20 yrs,113,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,85.36741638183594 +1989,19,0,MVA,18-20 yrs,69,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,52.127010345458984 +1989,19,0,suicide,18-20 yrs,14,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,10.576494216918945 +1989,19,0,homicide,18-20 yrs,6,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,4.532783508300781 +1989,19,0,other external,18-20 yrs,7,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,5.288247108459473 +1989,19,0,internal,18-20 yrs,17,132369,18.993797302246094,0,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,12.842885971069336 +1989,19,0,all,21-24 yrs,126,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,80.599761962890625 +1989,19,0,MVA,21-24 yrs,45,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,28.785629272460938 +1989,19,0,suicide,21-24 yrs,17,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,10.874571800231934 +1989,19,0,homicide,21-24 yrs,10,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,6.396806716918945 +1989,19,0,other external,21-24 yrs,18,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,11.514251708984375 +1989,19,0,internal,21-24 yrs,36,156328,22.488351821899414,1,0.15322580933570862,1.2599999904632568,0.18000000715255737,0.5,1.940000057220459,23.02850341796875 +1990,19,0,MVA,15-17 yrs,28,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,24.81917381286621 +1990,19,0,suicide,15-17 yrs,7,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,6.204793453216553 +1990,19,0,homicide,15-17 yrs,2,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,1.7727981805801392 +1990,19,0,other external,15-17 yrs,8,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,7.091192722320557 +1990,19,0,internal,15-17 yrs,12,112816,15.994344711303711,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,10.636789321899414 +1990,19,0,all,18-20 yrs,125,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,95.24535369873047 +1990,19,0,MVA,18-20 yrs,62,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,47.241695404052734 +1990,19,0,suicide,18-20 yrs,28,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,21.334959030151367 +1990,19,0,homicide,18-20 yrs,3,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,2.285888433456421 +1990,19,0,other external,18-20 yrs,17,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,12.953368186950684 +1990,19,0,internal,18-20 yrs,15,131240,19.034189224243164,0,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,11.429442405700684 +1990,19,0,all,21-24 yrs,131,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,85.515838623046875 +1990,19,0,MVA,21-24 yrs,61,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,39.820350646972656 +1990,19,0,suicide,21-24 yrs,29,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,18.930986404418945 +1990,19,0,homicide,21-24 yrs,5,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,3.263963222503662 +1990,19,0,other external,21-24 yrs,14,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,9.139097213745117 +1990,19,0,internal,21-24 yrs,22,153188,22.454030990600586,1,0.14537107944488525,1.340000033378601,0.18000000715255737,0.5400000214576721,2.059999942779541,14.361437797546387 +1991,19,0,MVA,15-17 yrs,41,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,35.62615203857422 +1991,19,0,suicide,15-17 yrs,14,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,12.165027618408203 +1991,19,0,homicide,15-17 yrs,8,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,6.951444149017334 +1991,19,0,other external,15-17 yrs,13,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,11.296096801757812 +1991,19,0,internal,15-17 yrs,12,115084,15.990589141845703,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,10.427165985107422 +1991,19,0,all,18-20 yrs,113,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,91.10552215576172 +1991,19,0,MVA,18-20 yrs,51,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,41.1184196472168 +1991,19,0,suicide,18-20 yrs,19,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,15.31862735748291 +1991,19,0,homicide,18-20 yrs,6,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,4.837461471557617 +1991,19,0,other external,18-20 yrs,12,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,9.674922943115234 +1991,19,0,internal,18-20 yrs,25,124032,19.068675994873047,0,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,20.15608787536621 +1991,19,0,all,21-24 yrs,130,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,82.30036163330078 +1991,19,0,MVA,21-24 yrs,50,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,31.65398406982422 +1991,19,0,suicide,21-24 yrs,26,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,16.460071563720703 +1991,19,0,homicide,21-24 yrs,7,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,4.431557655334473 +1991,19,0,other external,21-24 yrs,12,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,7.596956253051758 +1991,19,0,internal,21-24 yrs,35,157958,22.433095932006836,1,0.13950073719024658,1.3200000524520874,0.1599999964237213,0.5199999809265137,2.009999990463257,22.15778923034668 +1992,19,0,MVA,15-17 yrs,23,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,19.30194091796875 +1992,19,0,suicide,15-17 yrs,14,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,11.749007225036621 +1992,19,0,homicide,15-17 yrs,3,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,2.5176444053649902 +1992,19,0,other external,15-17 yrs,6,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,5.0352888107299805 +1992,19,0,internal,15-17 yrs,18,119159,15.996508598327637,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,15.105867385864258 +1992,19,0,all,18-20 yrs,97,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,83.0849380493164 +1992,19,0,MVA,18-20 yrs,50,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,42.82728576660156 +1992,19,0,suicide,18-20 yrs,15,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,12.848185539245605 +1992,19,0,homicide,18-20 yrs,3,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,2.5696370601654053 +1992,19,0,other external,18-20 yrs,9,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,7.708911418914795 +1992,19,0,internal,18-20 yrs,20,116748,19.03914451599121,0,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,17.13091468811035 +1992,19,0,all,21-24 yrs,117,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,71.32493591308594 +1992,19,0,MVA,21-24 yrs,43,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,26.213438034057617 +1992,19,0,suicide,21-24 yrs,30,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,18.28844451904297 +1992,19,0,homicide,21-24 yrs,7,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,4.267303943634033 +1992,19,0,other external,21-24 yrs,15,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,9.144222259521484 +1992,19,0,internal,21-24 yrs,22,164038,22.435636520385742,1,0.13542409241199493,1.309999942779541,0.12999999523162842,0.46000000834465027,1.899999976158142,13.411526679992676 +1993,19,0,MVA,15-17 yrs,42,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,34.26250076293945 +1993,19,0,suicide,15-17 yrs,14,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,11.420833587646484 +1993,19,0,homicide,15-17 yrs,4,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,3.2630951404571533 +1993,19,0,other external,15-17 yrs,7,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,5.710416793823242 +1993,19,0,internal,15-17 yrs,17,122583,15.990692138671875,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,13.868154525756836 +1993,19,0,all,18-20 yrs,89,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,77.17521667480469 +1993,19,0,MVA,18-20 yrs,41,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,35.55262756347656 +1993,19,0,suicide,18-20 yrs,17,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,14.7413330078125 +1993,19,0,homicide,18-20 yrs,6,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,5.202823162078857 +1993,19,0,other external,18-20 yrs,5,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,4.335686206817627 +1993,19,0,internal,18-20 yrs,20,115322,18.98956871032715,0,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,17.342744827270508 +1993,19,0,all,21-24 yrs,132,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,80.43924713134766 +1993,19,0,MVA,21-24 yrs,56,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,34.12574005126953 +1993,19,0,suicide,21-24 yrs,23,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,14.015929222106934 +1993,19,0,homicide,21-24 yrs,6,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,3.656329393386841 +1993,19,0,other external,21-24 yrs,20,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,12.187765121459961 +1993,19,0,internal,21-24 yrs,27,164099,22.493330001831055,1,0.1314878910779953,1.2799999713897705,0.10999999940395355,0.47999998927116394,1.8700000047683716,16.453481674194336 +1994,19,0,MVA,15-17 yrs,39,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,30.693435668945312 +1994,19,0,suicide,15-17 yrs,18,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,14.166200637817383 +1994,19,0,homicide,15-17 yrs,3,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,2.3610334396362305 +1994,19,0,other external,15-17 yrs,8,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,6.296089172363281 +1994,19,0,internal,15-17 yrs,18,127063,15.995702743530273,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,14.166200637817383 +1994,19,0,all,18-20 yrs,105,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,89.29558563232422 +1994,19,0,MVA,18-20 yrs,42,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,35.71823501586914 +1994,19,0,suicide,18-20 yrs,28,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,23.812156677246094 +1994,19,0,homicide,18-20 yrs,5,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.252170562744141 +1994,19,0,other external,18-20 yrs,5,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.252170562744141 +1994,19,0,internal,18-20 yrs,25,117587,18.985891342163086,0,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,21.260852813720703 +1994,19,0,all,21-24 yrs,146,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,92.144378662109375 +1994,19,0,MVA,21-24 yrs,53,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,33.44967269897461 +1994,19,0,suicide,21-24 yrs,27,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,17.04039764404297 +1994,19,0,homicide,21-24 yrs,7,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,4.417881011962891 +1994,19,0,other external,21-24 yrs,20,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,12.622517585754395 +1994,19,0,internal,21-24 yrs,39,158447,22.55709457397461,1,0.12820513546466827,1.2999999523162842,0.10000000149011612,0.4399999976158142,1.840000033378601,24.613908767700195 +1995,19,0,MVA,15-17 yrs,45,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,34.139015197753906 +1995,19,0,suicide,15-17 yrs,14,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,10.621026992797852 +1995,19,0,homicide,15-17 yrs,3,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,2.2759342193603516 +1995,19,0,other external,15-17 yrs,7,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.310513496398926 +1995,19,0,internal,15-17 yrs,17,131814,15.986602783203125,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,12.896961212158203 +1995,19,0,all,18-20 yrs,103,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,84.2839126586914 +1995,19,0,MVA,18-20 yrs,44,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,36.00477981567383 +1995,19,0,suicide,18-20 yrs,23,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,18.820680618286133 +1995,19,0,homicide,18-20 yrs,6,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,4.90974235534668 +1995,19,0,other external,18-20 yrs,14,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,11.456066131591797 +1995,19,0,internal,18-20 yrs,16,122206,18.98772621154785,0,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,13.092646598815918 +1995,19,0,all,21-24 yrs,129,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,85.49727630615234 +1995,19,0,MVA,21-24 yrs,62,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,41.091712951660156 +1995,19,0,suicide,21-24 yrs,21,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,13.918161392211914 +1995,19,0,homicide,21-24 yrs,9,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.964926242828369 +1995,19,0,other external,21-24 yrs,9,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,5.964926242828369 +1995,19,0,internal,21-24 yrs,28,150882,22.56162452697754,1,0.12467192113399506,1.2599999904632568,0.10999999940395355,0.4399999976158142,1.7999999523162842,18.55754852294922 +1996,19,0,MVA,15-17 yrs,33,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,24.399080276489258 +1996,19,0,suicide,15-17 yrs,8,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,5.914928436279297 +1996,19,0,homicide,15-17 yrs,6,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,4.436196327209473 +1996,19,0,other external,15-17 yrs,10,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,7.393660545349121 +1996,19,0,internal,15-17 yrs,13,135251,16.00014877319336,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,9.611759185791016 +1996,19,0,all,18-20 yrs,113,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,90.42676544189453 +1996,19,0,MVA,18-20 yrs,53,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,42.41255569458008 +1996,19,0,suicide,18-20 yrs,23,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.40544891357422 +1996,19,0,homicide,18-20 yrs,5,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,4.001184463500977 +1996,19,0,other external,18-20 yrs,9,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,7.202131748199463 +1996,19,0,internal,18-20 yrs,23,124963,18.982803344726562,0,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.40544891357422 +1996,19,0,all,21-24 yrs,107,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,74.11974334716797 +1996,19,0,MVA,21-24 yrs,47,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,32.55727005004883 +1996,19,0,suicide,21-24 yrs,24,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,16.624988555908203 +1996,19,0,homicide,21-24 yrs,5,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,3.4635393619537354 +1996,19,0,other external,21-24 yrs,5,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,3.4635393619537354 +1996,19,0,internal,21-24 yrs,26,144361,22.489439010620117,1,0.12109624594449997,1.2799999713897705,0.11999999731779099,0.44999998807907104,1.850000023841858,18.010404586791992 +1970,20,1,MVA,15-17 yrs,57,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,43.29859161376953 +1970,20,1,suicide,15-17 yrs,5,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.7981221675872803 +1970,20,1,homicide,15-17 yrs,4,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.0384976863861084 +1970,20,1,other external,15-17 yrs,29,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,22.02910804748535 +1970,20,1,internal,15-17 yrs,24,131644,15.97906494140625,0,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,18.230987548828125 +1970,20,1,all,18-20 yrs,190,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,148.52685546875 +1970,20,1,MVA,18-20 yrs,103,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,80.5171890258789 +1970,20,1,suicide,18-20 yrs,8,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,6.253762245178223 +1970,20,1,homicide,18-20 yrs,5,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,3.9086012840270996 +1970,20,1,other external,18-20 yrs,37,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,28.923648834228516 +1970,20,1,internal,18-20 yrs,37,127923,18.984819412231445,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,28.923648834228516 +1970,20,1,all,21-24 yrs,180,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,122.72699737548828 +1970,20,1,MVA,21-24 yrs,77,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,52.499881744384766 +1970,20,1,suicide,21-24 yrs,19,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,12.954516410827637 +1970,20,1,homicide,21-24 yrs,11,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,7.499982833862305 +1970,20,1,other external,21-24 yrs,30,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,20.454498291015625 +1970,20,1,internal,21-24 yrs,43,146667,22.3602237701416,1,0.38659796118736267,0.8500000238418579,0.09000000357627869,0.6499999761581421,1.590000033378601,29.318115234375 +1971,20,1,MVA,15-17 yrs,71,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,53.7353630065918 +1971,20,1,suicide,15-17 yrs,3,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,2.270508289337158 +1971,20,1,homicide,15-17 yrs,4,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,3.0273444652557373 +1971,20,1,other external,15-17 yrs,16,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,12.10937786102295 +1971,20,1,internal,15-17 yrs,27,132129,15.994633674621582,0,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,20.4345760345459 +1971,20,1,all,18-20 yrs,186,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,141.38143920898438 +1971,20,1,MVA,18-20 yrs,100,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,76.01152038574219 +1971,20,1,suicide,18-20 yrs,7,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,5.320806503295898 +1971,20,1,homicide,18-20 yrs,11,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,8.361268043518066 +1971,20,1,other external,18-20 yrs,24,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,18.242765426635742 +1971,20,1,internal,18-20 yrs,44,131559,18.989290237426758,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,33.445072174072266 +1971,20,1,all,21-24 yrs,190,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,119.50587463378906 +1971,20,1,MVA,21-24 yrs,82,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,51.57622146606445 +1971,20,1,suicide,21-24 yrs,12,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,7.547739505767822 +1971,20,1,homicide,21-24 yrs,16,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,10.063652992248535 +1971,20,1,other external,21-24 yrs,29,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,18.24036979675293 +1971,20,1,internal,21-24 yrs,51,158988,22.507051467895508,1,0.37037038803100586,0.8899999856948853,0.10000000149011612,0.6899999976158142,1.6799999475479126,32.0778923034668 +1972,20,1,MVA,15-17 yrs,46,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,34.466224670410156 +1972,20,1,suicide,15-17 yrs,8,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,5.994125843048096 +1972,20,1,homicide,15-17 yrs,0,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,0 +1972,20,1,other external,15-17 yrs,26,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,19.48090934753418 +1972,20,1,internal,15-17 yrs,20,133464,15.990507125854492,0,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,14.98531436920166 +1972,20,1,all,18-20 yrs,182,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,133.75762939453125 +1972,20,1,MVA,18-20 yrs,90,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,66.14388275146484 +1972,20,1,suicide,18-20 yrs,20,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,14.698640823364258 +1972,20,1,homicide,18-20 yrs,6,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,4.409592151641846 +1972,20,1,other external,18-20 yrs,32,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,23.517826080322266 +1972,20,1,internal,18-20 yrs,34,136067,18.991783142089844,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,24.987689971923828 +1972,20,1,all,21-24 yrs,190,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,119.44727325439453 +1972,20,1,MVA,21-24 yrs,78,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,49.03624725341797 +1972,20,1,suicide,21-24 yrs,26,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,16.345417022705078 +1972,20,1,homicide,21-24 yrs,16,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,10.058717727661133 +1972,20,1,other external,21-24 yrs,32,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,20.117435455322266 +1972,20,1,internal,21-24 yrs,38,159066,22.492834091186523,1,0.35885170102119446,0.9599999785423279,0.10999999940395355,0.6700000166893005,1.7400000095367432,23.889453887939453 +1973,20,1,MVA,15-17 yrs,60,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,44.7000617980957 +1973,20,1,suicide,15-17 yrs,7,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,5.215007305145264 +1973,20,1,homicide,15-17 yrs,4,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,2.980004072189331 +1973,20,1,other external,15-17 yrs,37,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,27.565038681030273 +1973,20,1,internal,15-17 yrs,26,134228,15.989651679992676,0,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,19.370027542114258 +1973,20,1,all,18-20 yrs,184,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,132.13075256347656 +1973,20,1,MVA,18-20 yrs,86,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,61.75676345825195 +1973,20,1,suicide,18-20 yrs,16,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,11.489630699157715 +1973,20,1,homicide,18-20 yrs,9,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,6.462917327880859 +1973,20,1,other external,18-20 yrs,46,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,33.03268814086914 +1973,20,1,internal,18-20 yrs,27,139256,18.99694061279297,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,19.388751983642578 +1973,20,1,all,21-24 yrs,176,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,109.9429702758789 +1973,20,1,MVA,21-24 yrs,74,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,46.22602081298828 +1973,20,1,suicide,21-24 yrs,18,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,11.24416732788086 +1973,20,1,homicide,21-24 yrs,16,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,9.9948148727417 +1973,20,1,other external,21-24 yrs,34,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,21.238983154296875 +1973,20,1,internal,21-24 yrs,34,160083,22.486854553222656,1,0.3378378450870514,0.9800000190734863,0.10999999940395355,0.6800000071525574,1.7599999904632568,21.238983154296875 +1974,20,1,MVA,15-17 yrs,57,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,42.29051208496094 +1974,20,1,suicide,15-17 yrs,6,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,4.451632976531982 +1974,20,1,homicide,15-17 yrs,4,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,2.9677553176879883 +1974,20,1,other external,15-17 yrs,23,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,17.064592361450195 +1974,20,1,internal,15-17 yrs,31,134782,16.002107620239258,0,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,23.000102996826172 +1974,20,1,all,18-20 yrs,158,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,112.7508316040039 +1974,20,1,MVA,18-20 yrs,55,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,39.24870681762695 +1974,20,1,suicide,18-20 yrs,9,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,6.422515869140625 +1974,20,1,homicide,18-20 yrs,12,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,8.5633544921875 +1974,20,1,other external,18-20 yrs,53,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,37.82148361206055 +1974,20,1,internal,18-20 yrs,29,140132,19.008270263671875,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,20.694772720336914 +1974,20,1,all,21-24 yrs,205,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,127.76486206054688 +1974,20,1,MVA,21-24 yrs,71,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,44.25027084350586 +1974,20,1,suicide,21-24 yrs,21,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,13.08810806274414 +1974,20,1,homicide,21-24 yrs,17,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,10.595134735107422 +1974,20,1,other external,21-24 yrs,45,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,28.04594612121582 +1974,20,1,internal,21-24 yrs,51,160451,22.451839447021484,1,0.30425965785980225,1.0800000429153442,0.11999999731779099,0.7099999785423279,1.909999966621399,31.785404205322266 +1975,20,1,MVA,15-17 yrs,49,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,36.50450897216797 +1975,20,1,suicide,15-17 yrs,17,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,12.66482925415039 +1975,20,1,homicide,15-17 yrs,3,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,2.2349698543548584 +1975,20,1,other external,15-17 yrs,35,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,26.074647903442383 +1975,20,1,internal,15-17 yrs,26,134230,15.999337196350098,0,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,19.36973762512207 +1975,20,1,all,18-20 yrs,155,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,109.4679183959961 +1975,20,1,MVA,18-20 yrs,62,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,43.787166595458984 +1975,20,1,suicide,18-20 yrs,10,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.062446117401123 +1975,20,1,homicide,18-20 yrs,10,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.062446117401123 +1975,20,1,other external,18-20 yrs,37,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,26.13105010986328 +1975,20,1,internal,18-20 yrs,36,141594,19.004180908203125,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,25.424806594848633 +1975,20,1,all,21-24 yrs,206,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,124.5412826538086 +1975,20,1,MVA,21-24 yrs,80,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,48.36554718017578 +1975,20,1,suicide,21-24 yrs,18,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,10.882247924804688 +1975,20,1,homicide,21-24 yrs,13,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,7.859401226043701 +1975,20,1,other external,21-24 yrs,48,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,29.01932716369629 +1975,20,1,internal,21-24 yrs,47,165407,22.449310302734375,1,0.27881041169166565,1.1200000047683716,0.11999999731779099,0.7099999785423279,1.940000057220459,28.414758682250977 +1976,20,1,MVA,15-17 yrs,61,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,45.14973449707031 +1976,20,1,suicide,15-17 yrs,3,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,2.2204787731170654 +1976,20,1,homicide,15-17 yrs,2,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,1.4803191423416138 +1976,20,1,other external,15-17 yrs,19,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,14.063032150268555 +1976,20,1,internal,15-17 yrs,25,135106,15.990762710571289,0,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,18.503990173339844 +1976,20,1,all,18-20 yrs,165,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,115.17601013183594 +1976,20,1,MVA,18-20 yrs,80,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,55.84291458129883 +1976,20,1,suicide,18-20 yrs,22,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,15.35680103302002 +1976,20,1,homicide,18-20 yrs,4,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,2.7921457290649414 +1976,20,1,other external,18-20 yrs,36,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,25.129310607910156 +1976,20,1,internal,18-20 yrs,23,143259,19.00522804260254,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,16.054838180541992 +1976,20,1,all,21-24 yrs,231,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,134.6868133544922 +1976,20,1,MVA,21-24 yrs,88,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,51.309261322021484 +1976,20,1,suicide,21-24 yrs,27,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,15.742613792419434 +1976,20,1,homicide,21-24 yrs,19,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,11.07813549041748 +1976,20,1,other external,21-24 yrs,44,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,25.654630661010742 +1976,20,1,internal,21-24 yrs,53,171509,22.455398559570312,1,0.26362037658691406,1.1299999952316284,0.10999999940395355,0.6899999976158142,1.9299999475479126,30.90216827392578 +1977,20,1,MVA,15-17 yrs,49,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,36.43610382080078 +1977,20,1,suicide,15-17 yrs,5,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,3.7179696559906006 +1977,20,1,homicide,15-17 yrs,4,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,2.9743757247924805 +1977,20,1,other external,15-17 yrs,28,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,20.82063102722168 +1977,20,1,internal,15-17 yrs,26,134482,16.00399398803711,0,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,19.33344268798828 +1977,20,1,all,18-20 yrs,203,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,140.41543579101562 +1977,20,1,MVA,18-20 yrs,100,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,69.170166015625 +1977,20,1,suicide,18-20 yrs,18,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,12.450630187988281 +1977,20,1,homicide,18-20 yrs,20,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,13.834033012390137 +1977,20,1,other external,18-20 yrs,31,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,21.442750930786133 +1977,20,1,internal,18-20 yrs,34,144571,19.01972770690918,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,23.51785659790039 +1977,20,1,all,21-24 yrs,227,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,128.8023681640625 +1977,20,1,MVA,21-24 yrs,86,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,48.79737091064453 +1977,20,1,suicide,21-24 yrs,40,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.69645118713379 +1977,20,1,homicide,21-24 yrs,22,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,12.483048439025879 +1977,20,1,other external,21-24 yrs,40,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.69645118713379 +1977,20,1,internal,21-24 yrs,39,176239,22.472919464111328,1,0.2970297336578369,1.1299999952316284,0.10000000149011612,0.6499999761581421,1.8799999952316284,22.129039764404297 +1978,20,1,MVA,15-17 yrs,51,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,38.512367248535156 +1978,20,1,suicide,15-17 yrs,6,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,4.530866622924805 +1978,20,1,homicide,15-17 yrs,3,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,2.2654333114624023 +1978,20,1,other external,15-17 yrs,25,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,18.878610610961914 +1978,20,1,internal,15-17 yrs,34,132425,16.017799377441406,0,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,25.674909591674805 +1978,20,1,all,18-20 yrs,184,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,127.56074523925781 +1978,20,1,MVA,18-20 yrs,82,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,56.84772491455078 +1978,20,1,suicide,18-20 yrs,23,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,15.945093154907227 +1978,20,1,homicide,18-20 yrs,10,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,6.9326491355896 +1978,20,1,other external,18-20 yrs,35,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.264272689819336 +1978,20,1,internal,18-20 yrs,34,144245,19.0189266204834,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,23.571006774902344 +1978,20,1,all,21-24 yrs,222,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,123.18072509765625 +1978,20,1,MVA,21-24 yrs,82,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,45.49918746948242 +1978,20,1,suicide,21-24 yrs,30,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,16.64604377746582 +1978,20,1,homicide,21-24 yrs,20,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,11.097362518310547 +1978,20,1,other external,21-24 yrs,45,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.969066619873047 +1978,20,1,internal,21-24 yrs,45,180223,22.475677490234375,1,0.2760736346244812,1.1399999856948853,0.11999999731779099,0.6399999856948853,1.8899999856948853,24.969066619873047 +1979,20,1,MVA,15-17 yrs,48,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,37.449092864990234 +1979,20,1,suicide,15-17 yrs,5,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,3.900947093963623 +1979,20,1,homicide,15-17 yrs,2,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,1.560378909111023 +1979,20,1,other external,15-17 yrs,9,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,7.02170467376709 +1979,20,1,internal,15-17 yrs,19,128174,16.017078399658203,0,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,14.823598861694336 +1979,20,1,all,18-20 yrs,190,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,131.09596252441406 +1979,20,1,MVA,18-20 yrs,85,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,58.648193359375 +1979,20,1,suicide,18-20 yrs,19,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,13.109596252441406 +1979,20,1,homicide,18-20 yrs,22,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,15.179532051086426 +1979,20,1,other external,18-20 yrs,34,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,23.459278106689453 +1979,20,1,internal,18-20 yrs,30,144932,19.011653900146484,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,20.69936180114746 +1979,20,1,all,21-24 yrs,231,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,126.43885803222656 +1979,20,1,MVA,21-24 yrs,89,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,48.71453857421875 +1979,20,1,suicide,21-24 yrs,29,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,15.873276710510254 +1979,20,1,homicide,21-24 yrs,23,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,12.589150428771973 +1979,20,1,other external,21-24 yrs,44,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,24.08359146118164 +1979,20,1,internal,21-24 yrs,46,182697,22.479055404663086,1,0.24793389439582825,1.1699999570846558,0.10999999940395355,0.7300000190734863,2.009999990463257,25.178300857543945 +1980,20,1,MVA,15-17 yrs,49,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,40.017967224121094 +1980,20,1,suicide,15-17 yrs,3,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,2.4500796794891357 +1980,20,1,homicide,15-17 yrs,5,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,4.083466053009033 +1980,20,1,other external,15-17 yrs,10,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,8.166932106018066 +1980,20,1,internal,15-17 yrs,20,122445,16.032333374023438,0,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,16.333864212036133 +1980,20,1,all,18-20 yrs,188,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,132.2583770751953 +1980,20,1,MVA,18-20 yrs,83,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,58.39066696166992 +1980,20,1,suicide,18-20 yrs,26,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,18.291053771972656 +1980,20,1,homicide,18-20 yrs,16,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,11.256032943725586 +1980,20,1,other external,18-20 yrs,38,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,26.733078002929688 +1980,20,1,internal,18-20 yrs,25,142146,19.031700134277344,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,17.58755111694336 +1980,20,1,all,21-24 yrs,245,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,132.60374450683594 +1980,20,1,MVA,21-24 yrs,96,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,51.95901870727539 +1980,20,1,suicide,21-24 yrs,34,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,18.402151107788086 +1980,20,1,homicide,21-24 yrs,29,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,15.695953369140625 +1980,20,1,other external,21-24 yrs,42,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,22.732070922851562 +1980,20,1,internal,21-24 yrs,44,184761,22.479110717773438,1,0.21844661235809326,1.2300000190734863,0.10999999940395355,0.6200000047683716,1.9600000381469727,23.814550399780273 +1981,20,1,MVA,15-17 yrs,38,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,32.872825622558594 +1981,20,1,suicide,15-17 yrs,8,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,6.920594692230225 +1981,20,1,homicide,15-17 yrs,2,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,1.7301486730575562 +1981,20,1,other external,15-17 yrs,15,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,12.976115226745605 +1981,20,1,internal,15-17 yrs,21,115597,16.04384994506836,0,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,18.166561126708984 +1981,20,1,all,18-20 yrs,167,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,121.08380889892578 +1981,20,1,MVA,18-20 yrs,80,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,58.00421905517578 +1981,20,1,suicide,18-20 yrs,14,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,10.150738716125488 +1981,20,1,homicide,18-20 yrs,12,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,8.70063304901123 +1981,20,1,other external,18-20 yrs,37,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,26.82695198059082 +1981,20,1,internal,18-20 yrs,24,137921,19.04805564880371,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,17.40126609802246 +1981,20,1,all,21-24 yrs,212,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,112.92453002929688 +1981,20,1,MVA,21-24 yrs,81,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,43.145694732666016 +1981,20,1,suicide,21-24 yrs,28,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,14.91456127166748 +1981,20,1,homicide,21-24 yrs,22,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,11.718583106994629 +1981,20,1,other external,21-24 yrs,36,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,19.17586326599121 +1981,20,1,internal,21-24 yrs,45,187736,22.48662567138672,1,0.19801980257034302,1.2300000190734863,0.11999999731779099,0.699999988079071,2.049999952316284,23.969829559326172 +1982,20,1,MVA,15-17 yrs,27,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,24.797260284423828 +1982,20,1,suicide,15-17 yrs,1,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,0.9184170365333557 +1982,20,1,homicide,15-17 yrs,5,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,4.592084884643555 +1982,20,1,other external,15-17 yrs,6,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,5.510501861572266 +1982,20,1,internal,15-17 yrs,15,108883,16.034046173095703,0,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,13.77625560760498 +1982,20,1,all,18-20 yrs,136,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,102.94607543945312 +1982,20,1,MVA,18-20 yrs,63,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,47.688255310058594 +1982,20,1,suicide,18-20 yrs,16,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,12.111303329467773 +1982,20,1,homicide,18-20 yrs,7,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,5.298695087432861 +1982,20,1,other external,18-20 yrs,24,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,18.166954040527344 +1982,20,1,internal,18-20 yrs,26,132108,19.041534423828125,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,19.680866241455078 +1982,20,1,all,21-24 yrs,189,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,100.12873840332031 +1982,20,1,MVA,21-24 yrs,83,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,43.97187805175781 +1982,20,1,suicide,21-24 yrs,26,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,13.774323463439941 +1982,20,1,homicide,21-24 yrs,17,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,9.006288528442383 +1982,20,1,other external,21-24 yrs,29,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,15.363668441772461 +1982,20,1,internal,21-24 yrs,34,188757,22.48824691772461,1,0.1865285038948059,1.2200000286102295,0.12999999523162842,0.6700000166893005,2.0199999809265137,18.012577056884766 +1983,20,1,MVA,15-17 yrs,30,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,28.8062686920166 +1983,20,1,suicide,15-17 yrs,6,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,5.761253833770752 +1983,20,1,homicide,15-17 yrs,6,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,5.761253833770752 +1983,20,1,other external,15-17 yrs,11,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,10.562298774719238 +1983,20,1,internal,15-17 yrs,21,104144,16.018129348754883,0,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,20.16438865661621 +1983,20,1,all,18-20 yrs,144,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,113.50111389160156 +1983,20,1,MVA,18-20 yrs,66,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,52.02134323120117 +1983,20,1,suicide,18-20 yrs,24,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,18.916852951049805 +1983,20,1,homicide,18-20 yrs,14,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,11.034831047058105 +1983,20,1,other external,18-20 yrs,17,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,13.399436950683594 +1983,20,1,internal,18-20 yrs,23,126871,19.051240921020508,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,18.128650665283203 +1983,20,1,all,21-24 yrs,157,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,83.90606689453125 +1983,20,1,MVA,21-24 yrs,63,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,33.669315338134766 +1983,20,1,suicide,21-24 yrs,23,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,12.291972160339355 +1983,20,1,homicide,21-24 yrs,14,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,7.482069969177246 +1983,20,1,other external,21-24 yrs,29,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,15.498573303222656 +1983,20,1,internal,21-24 yrs,28,187114,22.511009216308594,1,0.1807229071855545,1.2000000476837158,0.12999999523162842,0.6399999856948853,1.9600000381469727,14.964139938354492 +1984,20,1,MVA,15-17 yrs,35,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,33.972007751464844 +1984,20,1,suicide,15-17 yrs,8,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,7.765030384063721 +1984,20,1,homicide,15-17 yrs,1,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,0.9706287980079651 +1984,20,1,other external,15-17 yrs,12,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,11.647544860839844 +1984,20,1,internal,15-17 yrs,13,103026,15.995059967041016,0,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.618173599243164 +1984,20,1,all,18-20 yrs,136,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,113.26725769042969 +1984,20,1,MVA,18-20 yrs,69,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,57.46647644042969 +1984,20,1,suicide,18-20 yrs,15,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.49271297454834 +1984,20,1,homicide,18-20 yrs,6,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,4.997085094451904 +1984,20,1,other external,18-20 yrs,15,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,12.49271297454834 +1984,20,1,internal,18-20 yrs,31,120070,19.06404685974121,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,25.818273544311523 +1984,20,1,all,21-24 yrs,170,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,93.26822662353516 +1984,20,1,MVA,21-24 yrs,70,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,38.404563903808594 +1984,20,1,suicide,21-24 yrs,24,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,13.167279243469238 +1984,20,1,homicide,21-24 yrs,16,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,8.778185844421387 +1984,20,1,other external,21-24 yrs,28,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,15.361825942993164 +1984,20,1,internal,21-24 yrs,32,182270,22.535188674926758,1,0.17324350774288177,1.1799999475479126,0.14000000059604645,0.6299999952316284,1.9500000476837158,17.556371688842773 +1985,20,0.9611555933952332,MVA,15-17 yrs,28,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,26.830459594726562 +1985,20,0.9611555933952332,suicide,15-17 yrs,10,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,9.582306861877441 +1985,20,0.9611555933952332,homicide,15-17 yrs,4,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,3.83292293548584 +1985,20,0.9611555933952332,other external,15-17 yrs,12,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,11.49876880645752 +1985,20,0.9611555933952332,internal,15-17 yrs,18,104359,15.978775024414062,0,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,17.248153686523438 +1985,20,0.9611555933952332,all,18-20 yrs,111,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,98.0002670288086 +1985,20,0.9611555933952332,MVA,18-20 yrs,62,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,54.738887786865234 +1985,20,0.9611555933952332,suicide,18-20 yrs,10,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,8.828852653503418 +1985,20,0.9611555933952332,homicide,18-20 yrs,7,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,6.180196762084961 +1985,20,0.9611555933952332,other external,18-20 yrs,14,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,12.360393524169922 +1985,20,0.9611555933952332,internal,18-20 yrs,18,113265,19.056001663208008,0.9611555933952332,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,15.891934394836426 +1985,20,0.9611555933952332,all,21-24 yrs,177,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,100.8702163696289 +1985,20,0.9611555933952332,MVA,21-24 yrs,69,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,39.322288513183594 +1985,20,0.9611555933952332,suicide,21-24 yrs,25,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,14.24720573425293 +1985,20,0.9611555933952332,homicide,21-24 yrs,12,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,6.838658809661865 +1985,20,0.9611555933952332,other external,21-24 yrs,26,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,14.817094802856445 +1985,20,0.9611555933952332,internal,21-24 yrs,45,175473,22.5413761138916,1,0.1672862470149994,1.1699999570846558,0.15000000596046448,0.6399999856948853,1.9600000381469727,25.64497184753418 +1986,20,0.6844111084938049,MVA,15-17 yrs,40,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,37.54176712036133 +1986,20,0.6844111084938049,suicide,15-17 yrs,6,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,5.631264686584473 +1986,20,0.6844111084938049,homicide,15-17 yrs,3,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,2.8156323432922363 +1986,20,0.6844111084938049,other external,15-17 yrs,10,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,9.385441780090332 +1986,20,0.6844111084938049,internal,15-17 yrs,16,106548,15.986794471740723,0,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,15.016706466674805 +1986,20,0.6844111084938049,all,18-20 yrs,131,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,120.24857330322266 +1986,20,0.6844111084938049,MVA,18-20 yrs,67,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,61.50117874145508 +1986,20,0.6844111084938049,suicide,18-20 yrs,26,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,23.86612892150879 +1986,20,0.6844111084938049,homicide,18-20 yrs,4,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,3.6717121601104736 +1986,20,0.6844111084938049,other external,18-20 yrs,13,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,11.933064460754395 +1986,20,0.6844111084938049,internal,18-20 yrs,21,108941,19.04094886779785,0.6844111084938049,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,19.2764892578125 +1986,20,0.6844111084938049,all,21-24 yrs,154,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,92.23600769042969 +1986,20,0.6844111084938049,MVA,21-24 yrs,60,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,35.93610382080078 +1986,20,0.6844111084938049,suicide,21-24 yrs,24,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,14.374442100524902 +1986,20,0.6844111084938049,homicide,21-24 yrs,16,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,9.582961082458496 +1986,20,0.6844111084938049,other external,21-24 yrs,23,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,13.775506973266602 +1986,20,0.6844111084938049,internal,21-24 yrs,31,166963,22.540376663208008,1,0.16423358023166656,1.1200000047683716,0.17000000178813934,0.5899999737739563,1.8799999952316284,18.566987991333008 +1987,20,0.339570015668869,MVA,15-17 yrs,40,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,37.95714569091797 +1987,20,0.339570015668869,suicide,15-17 yrs,14,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,13.285000801086426 +1987,20,0.339570015668869,homicide,15-17 yrs,6,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,5.693572044372559 +1987,20,0.339570015668869,other external,15-17 yrs,5,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,4.744643211364746 +1987,20,0.339570015668869,internal,15-17 yrs,13,105382,16.02483367919922,0,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,12.33607292175293 +1987,20,0.339570015668869,all,18-20 yrs,117,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,107.91963958740234 +1987,20,0.339570015668869,MVA,18-20 yrs,61,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,56.26579666137695 +1987,20,0.339570015668869,suicide,18-20 yrs,18,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,16.6030216217041 +1987,20,0.339570015668869,homicide,18-20 yrs,8,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,7.379120826721191 +1987,20,0.339570015668869,other external,18-20 yrs,14,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,12.913461685180664 +1987,20,0.339570015668869,internal,18-20 yrs,16,108414,19.01800537109375,0.339570015668869,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,14.758241653442383 +1987,20,0.339570015668869,all,21-24 yrs,168,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,106.07868957519531 +1987,20,0.339570015668869,MVA,21-24 yrs,74,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,46.725135803222656 +1987,20,0.339570015668869,suicide,21-24 yrs,26,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,16.416940689086914 +1987,20,0.339570015668869,homicide,21-24 yrs,11,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,6.9456281661987305 +1987,20,0.339570015668869,other external,21-24 yrs,23,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,14.522677421569824 +1987,20,0.339570015668869,internal,21-24 yrs,34,158373,22.550472259521484,1,0.15845070779323578,1.1200000047683716,0.1599999964237213,0.5600000023841858,1.840000033378601,21.468305587768555 +1988,20,0.041027460247278214,MVA,15-17 yrs,34,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,33.2928581237793 +1988,20,0.041027460247278214,suicide,15-17 yrs,13,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.729622840881348 +1988,20,0.041027460247278214,homicide,15-17 yrs,3,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,2.937605381011963 +1988,20,0.041027460247278214,other external,15-17 yrs,9,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,8.81281566619873 +1988,20,0.041027460247278214,internal,15-17 yrs,15,102124,16.044231414794922,0,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,14.688026428222656 +1988,20,0.041027460247278214,all,18-20 yrs,124,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,111.55794525146484 +1988,20,0.041027460247278214,MVA,18-20 yrs,59,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,53.07999038696289 +1988,20,0.041027460247278214,suicide,18-20 yrs,23,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,20.69219970703125 +1988,20,0.041027460247278214,homicide,18-20 yrs,6,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,5.397964954376221 +1988,20,0.041027460247278214,other external,18-20 yrs,14,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.59525203704834 +1988,20,0.041027460247278214,internal,18-20 yrs,22,111153,19.004533767700195,0.041027460247278214,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,19.792537689208984 +1988,20,0.041027460247278214,all,21-24 yrs,144,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,95.16822814941406 +1988,20,0.041027460247278214,MVA,21-24 yrs,54,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,35.688087463378906 +1988,20,0.041027460247278214,suicide,21-24 yrs,25,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,16.522262573242188 +1988,20,0.041027460247278214,homicide,21-24 yrs,18,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,11.896028518676758 +1988,20,0.041027460247278214,other external,21-24 yrs,19,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,12.55691909790039 +1988,20,0.041027460247278214,internal,21-24 yrs,28,151311,22.54942512512207,1,0.1521555334329605,1.1100000143051147,0.20999999344348907,0.5600000023841858,1.8799999952316284,18.504934310913086 +1989,20,0,MVA,15-17 yrs,34,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,34.6408576965332 +1989,20,0,suicide,15-17 yrs,12,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,12.226184844970703 +1989,20,0,homicide,15-17 yrs,7,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,7.131940841674805 +1989,20,0,other external,15-17 yrs,11,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,11.207335472106934 +1989,20,0,internal,15-17 yrs,17,98150,16.014997482299805,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,17.3204288482666 +1989,20,0,all,18-20 yrs,116,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,101.30738830566406 +1989,20,0,MVA,18-20 yrs,49,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,42.79364013671875 +1989,20,0,suicide,18-20 yrs,15,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,13.100093841552734 +1989,20,0,homicide,18-20 yrs,14,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,12.226754188537598 +1989,20,0,other external,18-20 yrs,11,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,9.6067352294921875 +1989,20,0,internal,18-20 yrs,27,114503,19.01077651977539,0,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,23.580167770385742 +1989,20,0,all,21-24 yrs,127,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,88.12467956542969 +1989,20,0,MVA,21-24 yrs,49,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,34.00086212158203 +1989,20,0,suicide,21-24 yrs,20,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,13.877902030944824 +1989,20,0,homicide,21-24 yrs,12,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,8.326741218566895 +1989,20,0,other external,21-24 yrs,16,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,11.10232162475586 +1989,20,0,internal,21-24 yrs,30,144114,22.52425765991211,1,0.14516130089759827,1.100000023841858,0.12999999523162842,0.5400000214576721,1.7699999809265137,20.816852569580078 +1990,20,0,MVA,15-17 yrs,34,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,34.655330657958984 +1990,20,0,suicide,15-17 yrs,9,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.173470497131348 +1990,20,0,homicide,15-17 yrs,5,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,5.096372604370117 +1990,20,0,other external,15-17 yrs,7,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,7.134921550750732 +1990,20,0,internal,15-17 yrs,13,98109,15.992304801940918,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,13.250568389892578 +1990,20,0,all,18-20 yrs,104,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,91.51304626464844 +1990,20,0,MVA,18-20 yrs,49,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,43.116722106933594 +1990,20,0,suicide,18-20 yrs,17,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,14.958863258361816 +1990,20,0,homicide,18-20 yrs,14,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,12.319064140319824 +1990,20,0,other external,18-20 yrs,13,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,11.439130783081055 +1990,20,0,internal,18-20 yrs,11,113645,19.051942825317383,0,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.679264068603516 +1990,20,0,all,21-24 yrs,117,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,82.65221405029297 +1990,20,0,MVA,21-24 yrs,48,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,33.90860366821289 +1990,20,0,suicide,21-24 yrs,22,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,15.54144287109375 +1990,20,0,homicide,21-24 yrs,9,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,6.357862949371338 +1990,20,0,other external,21-24 yrs,14,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,9.890008926391602 +1990,20,0,internal,21-24 yrs,24,141557,22.481225967407227,1,0.13771997392177582,1.1299999952316284,0.12999999523162842,0.5299999713897705,1.7899999618530273,16.954301834106445 +1991,20,0,MVA,15-17 yrs,29,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,28.899717330932617 +1991,20,0,suicide,15-17 yrs,15,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,14.948129653930664 +1991,20,0,homicide,15-17 yrs,9,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,8.968877792358398 +1991,20,0,other external,15-17 yrs,12,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,11.958503723144531 +1991,20,0,internal,15-17 yrs,19,100347,15.992206573486328,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,18.934297561645508 +1991,20,0,all,18-20 yrs,111,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,103.0267562866211 +1991,20,0,MVA,18-20 yrs,43,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,39.9112663269043 +1991,20,0,suicide,18-20 yrs,20,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,18.563379287719727 +1991,20,0,homicide,18-20 yrs,13,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,12.066197395324707 +1991,20,0,other external,18-20 yrs,12,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,11.138028144836426 +1991,20,0,internal,18-20 yrs,23,107739,19.067134857177734,0,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,21.34788703918457 +1991,20,0,all,21-24 yrs,146,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,101.57935333251953 +1991,20,0,MVA,21-24 yrs,42,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,29.22145652770996 +1991,20,0,suicide,21-24 yrs,25,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,17.39372444152832 +1991,20,0,homicide,21-24 yrs,20,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,13.914979934692383 +1991,20,0,other external,21-24 yrs,20,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,13.914979934692383 +1991,20,0,internal,21-24 yrs,39,143730,22.44979476928711,1,0.13215859234333038,1.149999976158142,0.14000000059604645,0.5699999928474426,1.850000023841858,27.13421058654785 +1992,20,0,MVA,15-17 yrs,47,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,44.92105484008789 +1992,20,0,suicide,15-17 yrs,14,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,13.380739212036133 +1992,20,0,homicide,15-17 yrs,6,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,5.734602451324463 +1992,20,0,other external,15-17 yrs,12,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,11.469204902648926 +1992,20,0,internal,15-17 yrs,16,104628,15.99193286895752,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,15.29227352142334 +1992,20,0,all,18-20 yrs,102,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,98.1722640991211 +1992,20,0,MVA,18-20 yrs,41,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,39.46139907836914 +1992,20,0,suicide,18-20 yrs,18,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,17.32451629638672 +1992,20,0,homicide,18-20 yrs,15,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,14.437097549438477 +1992,20,0,other external,18-20 yrs,11,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,10.587204933166504 +1992,20,0,internal,18-20 yrs,17,103899,19.032272338867188,0,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,16.362043380737305 +1992,20,0,all,21-24 yrs,129,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,87.58351135253906 +1992,20,0,MVA,21-24 yrs,33,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,22.40508460998535 +1992,20,0,suicide,21-24 yrs,30,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,20.368257522583008 +1992,20,0,homicide,21-24 yrs,23,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,15.6156644821167 +1992,20,0,other external,21-24 yrs,13,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,8.826245307922363 +1992,20,0,internal,21-24 yrs,30,147288,22.449453353881836,1,0.12829650938510895,1.090000033378601,0.14000000059604645,0.550000011920929,1.7799999713897705,20.368257522583008 +1993,20,0,MVA,15-17 yrs,30,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,27.879745483398438 +1993,20,0,suicide,15-17 yrs,18,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,16.727848052978516 +1993,20,0,homicide,15-17 yrs,15,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,13.939872741699219 +1993,20,0,other external,15-17 yrs,9,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,8.363924026489258 +1993,20,0,internal,15-17 yrs,16,107605,15.991859436035156,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,14.869197845458984 +1993,20,0,all,18-20 yrs,100,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,95.49821472167969 +1993,20,0,MVA,18-20 yrs,31,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,29.604446411132812 +1993,20,0,suicide,18-20 yrs,14,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,13.369750022888184 +1993,20,0,homicide,18-20 yrs,27,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,25.784517288208008 +1993,20,0,other external,18-20 yrs,10,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,9.549821853637695 +1993,20,0,internal,18-20 yrs,18,104714,19.000343322753906,0,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,17.189678192138672 +1993,20,0,all,21-24 yrs,127,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,86.47103118896484 +1993,20,0,MVA,21-24 yrs,39,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,26.554096221923828 +1993,20,0,suicide,21-24 yrs,30,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,20.426227569580078 +1993,20,0,homicide,21-24 yrs,23,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,15.660107612609863 +1993,20,0,other external,21-24 yrs,16,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,10.893987655639648 +1993,20,0,internal,21-24 yrs,19,146870,22.504371643066406,1,0.12456747889518738,1.090000033378601,0.14000000059604645,0.5199999809265137,1.75,12.936610221862793 +1994,20,0,MVA,15-17 yrs,34,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,30.36934471130371 +1994,20,0,suicide,15-17 yrs,11,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,9.825376510620117 +1994,20,0,homicide,15-17 yrs,14,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,12.505023956298828 +1994,20,0,other external,15-17 yrs,7,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,6.252511978149414 +1994,20,0,internal,15-17 yrs,19,111955,15.997794151306152,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,16.97110366821289 +1994,20,0,all,18-20 yrs,123,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,114.32289123535156 +1994,20,0,MVA,18-20 yrs,58,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,53.908355712890625 +1994,20,0,suicide,18-20 yrs,18,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,16.730178833007812 +1994,20,0,homicide,18-20 yrs,16,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,14.871270179748535 +1994,20,0,other external,18-20 yrs,10,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,9.294544219970703 +1994,20,0,internal,18-20 yrs,21,107590,19.002416610717773,0,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,19.518543243408203 +1994,20,0,all,21-24 yrs,143,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,99.49348449707031 +1994,20,0,MVA,21-24 yrs,43,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,29.917621612548828 +1994,20,0,suicide,21-24 yrs,20,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,13.915173530578613 +1994,20,0,homicide,21-24 yrs,29,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,20.177001953125 +1994,20,0,other external,21-24 yrs,17,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,11.827897071838379 +1994,20,0,internal,21-24 yrs,34,143728,22.549224853515625,1,0.12145749479532242,1.1200000047683716,0.12999999523162842,0.47999998927116394,1.7300000190734863,23.655794143676758 +1995,20,0,MVA,15-17 yrs,21,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,18.042011260986328 +1995,20,0,suicide,15-17 yrs,11,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,9.450577735900879 +1995,20,0,homicide,15-17 yrs,10,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,8.591434478759766 +1995,20,0,other external,15-17 yrs,8,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,6.873147487640381 +1995,20,0,internal,15-17 yrs,12,116395,15.982645034790039,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,10.309720993041992 +1995,20,0,all,18-20 yrs,114,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,101.7739028930664 +1995,20,0,MVA,18-20 yrs,35,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,31.246374130249023 +1995,20,0,suicide,18-20 yrs,27,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,24.104345321655273 +1995,20,0,homicide,18-20 yrs,21,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,18.74782371520996 +1995,20,0,other external,18-20 yrs,9,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,8.034781455993652 +1995,20,0,internal,18-20 yrs,22,112013,18.99848175048828,0,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,19.64057731628418 +1995,20,0,all,21-24 yrs,144,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,103.52413177490234 +1995,20,0,MVA,21-24 yrs,48,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,34.5080451965332 +1995,20,0,suicide,21-24 yrs,25,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,17.97294044494629 +1995,20,0,homicide,21-24 yrs,25,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,17.97294044494629 +1995,20,0,other external,21-24 yrs,13,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,9.345929145812988 +1995,20,0,internal,21-24 yrs,33,139098,22.535104751586914,1,0.11811024695634842,1.0800000429153442,0.15000000596046448,0.5,1.7200000286102295,23.724281311035156 +1996,20,0,MVA,15-17 yrs,44,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,36.448280334472656 +1996,20,0,suicide,15-17 yrs,12,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,9.94044017791748 +1996,20,0,homicide,15-17 yrs,13,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,10.768810272216797 +1996,20,0,other external,15-17 yrs,10,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,8.283699989318848 +1996,20,0,internal,15-17 yrs,7,120719,15.996603965759277,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,5.798590183258057 +1996,20,0,all,18-20 yrs,121,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,105.62796020507812 +1996,20,0,MVA,18-20 yrs,47,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,41.02904510498047 +1996,20,0,suicide,18-20 yrs,26,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,22.696918487548828 +1996,20,0,homicide,18-20 yrs,16,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,13.967333793640137 +1996,20,0,other external,18-20 yrs,10,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,8.729583740234375 +1996,20,0,internal,18-20 yrs,22,114553,18.995643615722656,0,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,19.2050838470459 +1996,20,0,all,21-24 yrs,137,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,101.33810424804688 +1996,20,0,MVA,21-24 yrs,55,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,40.68318176269531 +1996,20,0,suicide,21-24 yrs,17,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,12.574801445007324 +1996,20,0,homicide,21-24 yrs,19,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,14.054189682006836 +1996,20,0,other external,21-24 yrs,16,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,11.835107803344727 +1996,20,0,internal,21-24 yrs,30,135191,22.474225997924805,1,0.11472276598215103,1.0499999523162842,0.14000000059604645,0.49000000953674316,1.690000057220459,22.190826416015625 +1970,21,0,MVA,15-17 yrs,104,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,53.993717193603516 +1970,21,0,suicide,15-17 yrs,0,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,0 +1970,21,0,homicide,15-17 yrs,10,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,5.191703796386719 +1970,21,0,other external,15-17 yrs,40,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,20.766815185546875 +1970,21,0,internal,15-17 yrs,43,192615,15.98548412322998,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,22.324325561523438 +1970,21,0,all,18-20 yrs,273,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,146.59213256835938 +1970,21,0,MVA,18-20 yrs,131,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,70.342742919921875 +1970,21,0,suicide,18-20 yrs,9,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,4.83270788192749 +1970,21,0,homicide,18-20 yrs,17,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,9.128447532653809 +1970,21,0,other external,18-20 yrs,44,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,23.626571655273438 +1970,21,0,internal,18-20 yrs,72,186231,18.98223114013672,0,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,38.66166305541992 +1970,21,0,all,21-24 yrs,335,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,162.6892852783203 +1970,21,0,MVA,21-24 yrs,131,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,63.61879348754883 +1970,21,0,suicide,21-24 yrs,18,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,8.7415132522583 +1970,21,0,homicide,21-24 yrs,32,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,15.540468215942383 +1970,21,0,other external,21-24 yrs,66,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,32.052215576171875 +1970,21,0,internal,21-24 yrs,88,205914,22.39618492126465,1,0.20618556439876556,0.9300000071525574,0.07999999821186066,0.8399999737739563,1.8600000143051147,42.73628616333008 +1971,21,0,MVA,15-17 yrs,76,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,38.28696060180664 +1971,21,0,suicide,15-17 yrs,11,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,5.541533946990967 +1971,21,0,homicide,15-17 yrs,17,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,8.564188957214355 +1971,21,0,other external,15-17 yrs,58,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,29.218996047973633 +1971,21,0,internal,15-17 yrs,44,198501,15.99260425567627,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,22.166135787963867 +1971,21,0,all,18-20 yrs,251,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,130.67471313476562 +1971,21,0,MVA,18-20 yrs,109,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,56.747188568115234 +1971,21,0,suicide,18-20 yrs,17,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,8.8504791259765625 +1971,21,0,homicide,18-20 yrs,25,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,13.015410423278809 +1971,21,0,other external,18-20 yrs,40,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,20.824655532836914 +1971,21,0,internal,18-20 yrs,60,192080,19.0079402923584,0,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,31.236984252929688 +1971,21,0,all,21-24 yrs,346,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,149.6617431640625 +1971,21,0,MVA,21-24 yrs,127,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,54.93364715576172 +1971,21,0,suicide,21-24 yrs,27,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,11.678807258605957 +1971,21,0,homicide,21-24 yrs,38,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,16.436840057373047 +1971,21,0,other external,21-24 yrs,58,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,25.087806701660156 +1971,21,0,internal,21-24 yrs,96,231188,22.500207901000977,1,0.1975308656692505,0.9700000286102295,0.10000000149011612,0.8700000047683716,1.9299999475479126,41.5246467590332 +1972,21,0,MVA,15-17 yrs,92,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,45.21884536743164 +1972,21,0,suicide,15-17 yrs,8,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,3.9320733547210693 +1972,21,0,homicide,15-17 yrs,10,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,4.9150919914245605 +1972,21,0,other external,15-17 yrs,34,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,16.71131134033203 +1972,21,0,internal,15-17 yrs,62,203455,15.988576889038086,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,30.473569869995117 +1972,21,0,all,18-20 yrs,264,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,138.69261169433594 +1972,21,0,MVA,18-20 yrs,136,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,71.44770812988281 +1972,21,0,suicide,18-20 yrs,16,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,8.40561294555664 +1972,21,0,homicide,18-20 yrs,24,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,12.608419418334961 +1972,21,0,other external,18-20 yrs,28,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,14.709822654724121 +1972,21,0,internal,18-20 yrs,60,190349,18.98782730102539,0,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,31.521047592163086 +1972,21,0,all,21-24 yrs,292,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,125.03693389892578 +1972,21,0,MVA,21-24 yrs,134,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,57.37996292114258 +1972,21,0,suicide,21-24 yrs,18,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,7.707756042480469 +1972,21,0,homicide,21-24 yrs,30,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,12.846260070800781 +1972,21,0,other external,21-24 yrs,48,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,20.55401611328125 +1972,21,0,internal,21-24 yrs,62,233531,22.45677947998047,1,0.19138756394386292,0.9900000095367432,0.10000000149011612,0.8199999928474426,1.909999966621399,26.548938751220703 +1973,21,0,MVA,15-17 yrs,103,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,49.94617462158203 +1973,21,0,suicide,15-17 yrs,4,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,1.939657211303711 +1973,21,0,homicide,15-17 yrs,13,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,6.3038859367370605 +1973,21,0,other external,15-17 yrs,57,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,27.64011573791504 +1973,21,0,internal,15-17 yrs,43,206222,15.989923477172852,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,20.851316452026367 +1973,21,0,all,18-20 yrs,277,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,142.527099609375 +1973,21,0,MVA,18-20 yrs,133,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,68.43359375 +1973,21,0,suicide,18-20 yrs,17,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,8.747150421142578 +1973,21,0,homicide,18-20 yrs,24,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,12.348918914794922 +1973,21,0,other external,18-20 yrs,47,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,24.183300018310547 +1973,21,0,internal,18-20 yrs,56,194349,18.982954025268555,0,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,28.814144134521484 +1973,21,0,all,21-24 yrs,353,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,147.16795349121094 +1973,21,0,MVA,21-24 yrs,143,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,59.61761474609375 +1973,21,0,suicide,21-24 yrs,37,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,15.425536155700684 +1973,21,0,homicide,21-24 yrs,33,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,13.75791072845459 +1973,21,0,other external,21-24 yrs,75,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,31.26797866821289 +1973,21,0,internal,21-24 yrs,65,239862,22.476482391357422,1,0.18018017709255219,1.0099999904632568,0.10000000149011612,0.8299999833106995,1.9299999475479126,27.098915100097656 +1974,21,0,MVA,15-17 yrs,73,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,34.87799835205078 +1974,21,0,suicide,15-17 yrs,11,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,5.255589008331299 +1974,21,0,homicide,15-17 yrs,13,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,6.211150646209717 +1974,21,0,other external,15-17 yrs,53,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,25.3223819732666 +1974,21,0,internal,15-17 yrs,48,209301,16.003450393676758,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,22.93347930908203 +1974,21,0,all,18-20 yrs,248,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,123.54720306396484 +1974,21,0,MVA,18-20 yrs,101,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,50.31559371948242 +1974,21,0,suicide,18-20 yrs,15,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,7.4726128578186035 +1974,21,0,homicide,18-20 yrs,25,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,12.454355239868164 +1974,21,0,other external,18-20 yrs,54,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,26.90140724182129 +1974,21,0,internal,18-20 yrs,53,200733,18.99078369140625,0,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,26.40323257446289 +1974,21,0,all,21-24 yrs,277,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,112.68132781982422 +1974,21,0,MVA,21-24 yrs,100,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,40.67918014526367 +1974,21,0,suicide,21-24 yrs,17,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,6.915460586547852 +1974,21,0,homicide,21-24 yrs,26,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,10.576586723327637 +1974,21,0,other external,21-24 yrs,57,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,23.187131881713867 +1974,21,0,internal,21-24 yrs,77,245826,22.492095947265625,1,0.16227179765701294,1.0099999904632568,0.10000000149011612,0.8199999928474426,1.9199999570846558,31.322967529296875 +1975,21,0,MVA,15-17 yrs,79,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,37.405303955078125 +1975,21,0,suicide,15-17 yrs,11,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,5.208333492279053 +1975,21,0,homicide,15-17 yrs,11,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,5.208333492279053 +1975,21,0,other external,15-17 yrs,46,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,21.780303955078125 +1975,21,0,internal,15-17 yrs,59,211200,16.004167556762695,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,27.935606002807617 +1975,21,0,all,18-20 yrs,271,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,131.2482147216797 +1975,21,0,MVA,18-20 yrs,112,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,54.24280548095703 +1975,21,0,suicide,18-20 yrs,26,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,12.592079162597656 +1975,21,0,homicide,18-20 yrs,21,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,10.170525550842285 +1975,21,0,other external,18-20 yrs,67,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,32.448822021484375 +1975,21,0,internal,18-20 yrs,45,206479,18.98724365234375,0,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,21.793983459472656 +1975,21,0,all,21-24 yrs,350,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,139.53062438964844 +1975,21,0,MVA,21-24 yrs,101,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,40.264549255371094 +1975,21,0,suicide,21-24 yrs,37,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,14.75037956237793 +1975,21,0,homicide,21-24 yrs,44,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,17.540992736816406 +1975,21,0,other external,21-24 yrs,72,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,28.703441619873047 +1975,21,0,internal,21-24 yrs,96,250841,22.4974308013916,1,0.14869888126850128,1.0499999523162842,0.10000000149011612,0.8299999833106995,1.9800000190734863,38.27125549316406 +1976,21,0,MVA,15-17 yrs,91,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,42.678924560546875 +1976,21,0,suicide,15-17 yrs,14,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,6.565988063812256 +1976,21,0,homicide,15-17 yrs,18,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,8.441985130310059 +1976,21,0,other external,15-17 yrs,46,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,21.57396125793457 +1976,21,0,internal,15-17 yrs,42,213220,16.002925872802734,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,19.69796371459961 +1976,21,0,all,18-20 yrs,275,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,129.11404418945312 +1976,21,0,MVA,18-20 yrs,123,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,57.74919128417969 +1976,21,0,suicide,18-20 yrs,17,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,7.981595516204834 +1976,21,0,homicide,18-20 yrs,24,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,11.268135070800781 +1976,21,0,other external,18-20 yrs,50,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,23.47528076171875 +1976,21,0,internal,18-20 yrs,61,212990,18.989219665527344,0,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,28.639842987060547 +1976,21,0,all,21-24 yrs,335,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,130.9560546875 +1976,21,0,MVA,21-24 yrs,113,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,44.17323684692383 +1976,21,0,suicide,21-24 yrs,34,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,13.291062355041504 +1976,21,0,homicide,21-24 yrs,28,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,10.94558048248291 +1976,21,0,other external,21-24 yrs,84,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,32.83674240112305 +1976,21,0,internal,21-24 yrs,76,255811,22.4716796875,1,0.14059753715991974,1.0099999904632568,0.10000000149011612,0.7900000214576721,1.899999976158142,29.709434509277344 +1977,21,0,MVA,15-17 yrs,101,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,47.30568313598633 +1977,21,0,suicide,15-17 yrs,5,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,2.3418655395507812 +1977,21,0,homicide,15-17 yrs,13,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,6.088850498199463 +1977,21,0,other external,15-17 yrs,45,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,21.07678985595703 +1977,21,0,internal,15-17 yrs,42,213505,16.00855255126953,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,19.67167091369629 +1977,21,0,all,18-20 yrs,288,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,133.32345581054688 +1977,21,0,MVA,18-20 yrs,123,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,56.94022750854492 +1977,21,0,suicide,18-20 yrs,26,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,12.036145210266113 +1977,21,0,homicide,18-20 yrs,26,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,12.036145210266113 +1977,21,0,other external,18-20 yrs,63,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,29.164506912231445 +1977,21,0,internal,18-20 yrs,50,216016,19.001625061035156,0,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,23.146432876586914 +1977,21,0,all,21-24 yrs,371,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,142.3413848876953 +1977,21,0,MVA,21-24 yrs,131,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,50.260704040527344 +1977,21,0,suicide,21-24 yrs,40,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,15.346779823303223 +1977,21,0,homicide,21-24 yrs,38,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,14.57944107055664 +1977,21,0,other external,21-24 yrs,89,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,34.146583557128906 +1977,21,0,internal,21-24 yrs,73,260641,22.46969223022461,1,0.132013201713562,1.190000057220459,0.09000000357627869,0.75,2.0299999713897705,28.00787353515625 +1978,21,0,MVA,15-17 yrs,97,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,45.565147399902344 +1978,21,0,suicide,15-17 yrs,16,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,7.515900611877441 +1978,21,0,homicide,15-17 yrs,6,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,2.81846284866333 +1978,21,0,other external,15-17 yrs,39,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,18.32000732421875 +1978,21,0,internal,15-17 yrs,53,212882,16.0109920501709,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,24.896421432495117 +1978,21,0,all,18-20 yrs,290,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,133.97085571289062 +1978,21,0,MVA,18-20 yrs,122,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,56.36014938354492 +1978,21,0,suicide,18-20 yrs,23,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,10.625274658203125 +1978,21,0,homicide,18-20 yrs,26,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,12.01117992401123 +1978,21,0,other external,18-20 yrs,54,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,24.94629669189453 +1978,21,0,internal,18-20 yrs,65,216465,19.001386642456055,0,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,30.0279483795166 +1978,21,0,all,21-24 yrs,342,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,128.4487762451172 +1978,21,0,MVA,21-24 yrs,112,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,42.065093994140625 +1978,21,0,suicide,21-24 yrs,39,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,14.647666931152344 +1978,21,0,homicide,21-24 yrs,52,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,19.530223846435547 +1978,21,0,other external,21-24 yrs,63,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,23.661617279052734 +1978,21,0,internal,21-24 yrs,76,266254,22.467693328857422,1,0.12269938737154007,1.0700000524520874,0.09000000357627869,0.7699999809265137,1.9299999475479126,28.544172286987305 +1979,21,0,MVA,15-17 yrs,87,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,41.171932220458984 +1979,21,0,suicide,15-17 yrs,21,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,9.938053131103516 +1979,21,0,homicide,15-17 yrs,7,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,3.3126842975616455 +1979,21,0,other external,15-17 yrs,33,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,15.61694049835205 +1979,21,0,internal,15-17 yrs,29,211309,16.008878707885742,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,13.723978042602539 +1979,21,0,all,18-20 yrs,277,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,127.58039093017578 +1979,21,0,MVA,18-20 yrs,125,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,57.57238006591797 +1979,21,0,suicide,18-20 yrs,26,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,11.975054740905762 +1979,21,0,homicide,18-20 yrs,27,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,12.435633659362793 +1979,21,0,other external,18-20 yrs,51,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,23.489530563354492 +1979,21,0,internal,18-20 yrs,48,217118,18.99962615966797,0,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,22.1077938079834 +1979,21,0,all,21-24 yrs,314,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,115.80648040771484 +1979,21,0,MVA,21-24 yrs,126,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,46.470115661621094 +1979,21,0,suicide,21-24 yrs,32,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,11.801934242248535 +1979,21,0,homicide,21-24 yrs,34,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,12.539554595947266 +1979,21,0,other external,21-24 yrs,59,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,21.759815216064453 +1979,21,0,internal,21-24 yrs,63,271142,22.46954345703125,1,0.11019283533096313,1.100000023841858,0.09000000357627869,0.7699999809265137,1.9700000286102295,23.235057830810547 +1980,21,0,MVA,15-17 yrs,65,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,31.384742736816406 +1980,21,0,suicide,15-17 yrs,10,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,4.8284220695495605 +1980,21,0,homicide,15-17 yrs,14,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,6.759790897369385 +1980,21,0,other external,15-17 yrs,50,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,24.14211082458496 +1980,21,0,internal,15-17 yrs,38,207107,16.018285751342773,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,18.348003387451172 +1980,21,0,all,18-20 yrs,293,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,134.32171630859375 +1980,21,0,MVA,18-20 yrs,115,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,52.720130920410156 +1980,21,0,suicide,18-20 yrs,32,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,14.669949531555176 +1980,21,0,homicide,18-20 yrs,30,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,13.753077507019043 +1980,21,0,other external,18-20 yrs,66,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,30.25676918029785 +1980,21,0,internal,18-20 yrs,50,218133,19.00695037841797,0,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,22.921794891357422 +1980,21,0,all,21-24 yrs,359,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,131.00851440429688 +1980,21,0,MVA,21-24 yrs,125,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,45.61577606201172 +1980,21,0,suicide,21-24 yrs,36,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,13.137343406677246 +1980,21,0,homicide,21-24 yrs,45,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,16.421680450439453 +1980,21,0,other external,21-24 yrs,85,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,31.018728256225586 +1980,21,0,internal,21-24 yrs,68,274028,22.475914001464844,1,0.09708737581968307,1.0800000429153442,0.10000000149011612,0.7400000095367432,1.909999966621399,24.81498146057129 +1981,21,0,MVA,15-17 yrs,88,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,44.52202224731445 +1981,21,0,suicide,15-17 yrs,14,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.0830488204956055 +1981,21,0,homicide,15-17 yrs,4,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,2.023728132247925 +1981,21,0,other external,15-17 yrs,44,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,22.261011123657227 +1981,21,0,internal,15-17 yrs,14,197655,16.033836364746094,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.0830488204956055 +1981,21,0,all,18-20 yrs,258,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,119.32622528076172 +1981,21,0,MVA,18-20 yrs,130,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,60.12561798095703 +1981,21,0,suicide,18-20 yrs,16,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,7.400075912475586 +1981,21,0,homicide,18-20 yrs,14,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,6.475066184997559 +1981,21,0,other external,18-20 yrs,42,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,19.425199508666992 +1981,21,0,internal,18-20 yrs,56,216214,19.01816177368164,0,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,25.900264739990234 +1981,21,0,all,21-24 yrs,316,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,115.00402069091797 +1981,21,0,MVA,21-24 yrs,102,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,37.121551513671875 +1981,21,0,suicide,21-24 yrs,40,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,14.55747127532959 +1981,21,0,homicide,21-24 yrs,42,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,15.285345077514648 +1981,21,0,other external,21-24 yrs,60,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,21.836206436157227 +1981,21,0,internal,21-24 yrs,72,274773,22.48797035217285,1,0.08800879865884781,1.1299999952316284,0.10999999940395355,0.75,1.9900000095367432,26.203447341918945 +1982,21,0,MVA,15-17 yrs,60,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,31.854066848754883 +1982,21,0,suicide,15-17 yrs,14,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,7.432615280151367 +1982,21,0,homicide,15-17 yrs,12,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,6.370813369750977 +1982,21,0,other external,15-17 yrs,28,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,14.865230560302734 +1982,21,0,internal,15-17 yrs,26,188359,16.03139305114746,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,13.803428649902344 +1982,21,0,all,18-20 yrs,220,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,103.51918029785156 +1982,21,0,MVA,18-20 yrs,96,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,45.17200469970703 +1982,21,0,suicide,18-20 yrs,24,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,11.293001174926758 +1982,21,0,homicide,18-20 yrs,22,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,10.35191822052002 +1982,21,0,other external,18-20 yrs,44,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,20.70383644104004 +1982,21,0,internal,18-20 yrs,34,212521,19.021875381469727,0,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,15.998418807983398 +1982,21,0,all,21-24 yrs,352,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,127.61437225341797 +1982,21,0,MVA,21-24 yrs,136,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,49.3055534362793 +1982,21,0,suicide,21-24 yrs,44,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,15.951796531677246 +1982,21,0,homicide,21-24 yrs,38,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,13.776551246643066 +1982,21,0,other external,21-24 yrs,80,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,29.003267288208008 +1982,21,0,internal,21-24 yrs,54,275831,22.481555938720703,1,0.08290155231952667,1.1399999856948853,0.11999999731779099,0.7300000190734863,1.9900000095367432,19.577205657958984 +1983,21,0,MVA,15-17 yrs,75,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,41.67801284790039 +1983,21,0,suicide,15-17 yrs,14,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,7.779895782470703 +1983,21,0,homicide,15-17 yrs,5,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,2.778534173965454 +1983,21,0,other external,15-17 yrs,35,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,19.449739456176758 +1983,21,0,internal,15-17 yrs,36,179951,16.017932891845703,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,20.00544548034668 +1983,21,0,all,18-20 yrs,239,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,115.09142303466797 +1983,21,0,MVA,18-20 yrs,95,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,45.74763488769531 +1983,21,0,suicide,18-20 yrs,31,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,14.928175926208496 +1983,21,0,homicide,18-20 yrs,20,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,9.631081581115723 +1983,21,0,other external,18-20 yrs,47,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.633041381835938 +1983,21,0,internal,18-20 yrs,46,207661,19.029640197753906,0,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.151487350463867 +1983,21,0,all,21-24 yrs,287,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,104.11980438232422 +1983,21,0,MVA,21-24 yrs,99,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,35.915889739990234 +1983,21,0,suicide,21-24 yrs,32,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,11.609176635742188 +1983,21,0,homicide,21-24 yrs,34,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,12.334750175476074 +1983,21,0,other external,21-24 yrs,62,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,22.492780685424805 +1983,21,0,internal,21-24 yrs,60,275644,22.48299217224121,1,0.0803212821483612,1.1299999952316284,0.11999999731779099,0.6899999976158142,1.940000057220459,21.7672061920166 +1984,21,0,MVA,15-17 yrs,58,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,32.695213317871094 +1984,21,0,suicide,15-17 yrs,14,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,7.8919477462768555 +1984,21,0,homicide,15-17 yrs,4,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,2.2548422813415527 +1984,21,0,other external,15-17 yrs,16,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,9.019369125366211 +1984,21,0,internal,15-17 yrs,28,177396,16.000591278076172,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,15.783895492553711 +1984,21,0,all,18-20 yrs,217,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,109.661865234375 +1984,21,0,MVA,18-20 yrs,89,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,44.97652816772461 +1984,21,0,suicide,18-20 yrs,28,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,14.149918556213379 +1984,21,0,homicide,18-20 yrs,11,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,5.558896541595459 +1984,21,0,other external,18-20 yrs,51,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,25.7730655670166 +1984,21,0,internal,18-20 yrs,38,197881,19.045724868774414,0,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,19.203460693359375 +1984,21,0,all,21-24 yrs,294,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,108.01358032226562 +1984,21,0,MVA,21-24 yrs,108,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,39.67845916748047 +1984,21,0,suicide,21-24 yrs,38,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,13.960938453674316 +1984,21,0,homicide,21-24 yrs,27,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,9.919614791870117 +1984,21,0,other external,21-24 yrs,56,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,20.57401466369629 +1984,21,0,internal,21-24 yrs,65,272188,22.492063522338867,1,0.07699710875749588,1.0499999523162842,0.11999999731779099,0.6800000071525574,1.850000023841858,23.880552291870117 +1985,21,0,MVA,15-17 yrs,64,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,36.03826904296875 +1985,21,0,suicide,15-17 yrs,14,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,7.883371353149414 +1985,21,0,homicide,15-17 yrs,8,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,4.504783630371094 +1985,21,0,other external,15-17 yrs,21,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,11.825057029724121 +1985,21,0,internal,15-17 yrs,31,177589,15.984565734863281,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,17.456035614013672 +1985,21,0,all,18-20 yrs,189,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,100.21633911132812 +1985,21,0,MVA,18-20 yrs,84,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,44.54059600830078 +1985,21,0,suicide,18-20 yrs,27,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,14.316619873046875 +1985,21,0,homicide,18-20 yrs,15,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,7.953677654266357 +1985,21,0,other external,18-20 yrs,34,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,18.028335571289062 +1985,21,0,internal,18-20 yrs,29,188592,19.04378318786621,0,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,15.377110481262207 +1985,21,0,all,21-24 yrs,267,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,99.5978775024414 +1985,21,0,MVA,21-24 yrs,95,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,35.43744659423828 +1985,21,0,suicide,21-24 yrs,46,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,17.1591854095459 +1985,21,0,homicide,21-24 yrs,27,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,10.071695327758789 +1985,21,0,other external,21-24 yrs,44,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,16.41313362121582 +1985,21,0,internal,21-24 yrs,55,268078,22.505020141601562,1,0.07434944063425064,1.0700000524520874,0.12999999523162842,0.6600000262260437,1.8600000143051147,20.516416549682617 +1986,21,0,MVA,15-17 yrs,55,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,30.290847778320312 +1986,21,0,suicide,15-17 yrs,17,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.3626251220703125 +1986,21,0,homicide,15-17 yrs,8,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,4.405941486358643 +1986,21,0,other external,15-17 yrs,24,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,13.21782398223877 +1986,21,0,internal,15-17 yrs,35,181573,15.975409507751465,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,19.27599334716797 +1986,21,0,all,18-20 yrs,193,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,107.38568878173828 +1986,21,0,MVA,18-20 yrs,90,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,50.07622528076172 +1986,21,0,suicide,18-20 yrs,20,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,11.128050804138184 +1986,21,0,homicide,18-20 yrs,17,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.458843231201172 +1986,21,0,other external,18-20 yrs,34,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,18.917686462402344 +1986,21,0,internal,18-20 yrs,32,179726,19.028839111328125,0,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,17.804880142211914 +1986,21,0,all,21-24 yrs,279,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,107.55133819580078 +1986,21,0,MVA,21-24 yrs,109,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,42.01826477050781 +1986,21,0,suicide,21-24 yrs,47,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,18.11796760559082 +1986,21,0,homicide,21-24 yrs,24,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,9.251728057861328 +1986,21,0,other external,21-24 yrs,42,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,16.190523147583008 +1986,21,0,internal,21-24 yrs,57,259411,22.513227462768555,1,0.07299269735813141,1.090000033378601,0.12999999523162842,0.6200000047683716,1.840000033378601,21.972854614257812 +1987,21,0,MVA,15-17 yrs,75,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,41.454097747802734 +1987,21,0,suicide,15-17 yrs,14,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,7.738098621368408 +1987,21,0,homicide,15-17 yrs,4,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,2.2108852863311768 +1987,21,0,other external,15-17 yrs,18,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,9.948984146118164 +1987,21,0,internal,15-17 yrs,31,180923,16.00432777404785,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,17.134361267089844 +1987,21,0,all,18-20 yrs,182,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,103.00643157958984 +1987,21,0,MVA,18-20 yrs,83,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,46.975460052490234 +1987,21,0,suicide,18-20 yrs,19,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,10.753418922424316 +1987,21,0,homicide,18-20 yrs,21,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,11.885356903076172 +1987,21,0,other external,18-20 yrs,23,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,13.017295837402344 +1987,21,0,internal,18-20 yrs,36,176688,19.014171600341797,0,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,20.37489891052246 +1987,21,0,all,21-24 yrs,300,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,121.03704833984375 +1987,21,0,MVA,21-24 yrs,114,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,45.994075775146484 +1987,21,0,suicide,21-24 yrs,44,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,17.752099990844727 +1987,21,0,homicide,21-24 yrs,25,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,10.086420059204102 +1987,21,0,other external,21-24 yrs,54,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,21.78666877746582 +1987,21,0,internal,21-24 yrs,63,247858,22.53203773498535,1,0.07042253762483597,1.0299999713897705,0.14000000059604645,0.5899999737739563,1.7599999904632568,25.41777992248535 +1988,21,0,MVA,15-17 yrs,75,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,42.720680236816406 +1988,21,0,suicide,15-17 yrs,16,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,9.11374568939209 +1988,21,0,homicide,15-17 yrs,3,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,1.708827257156372 +1988,21,0,other external,15-17 yrs,20,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,11.392181396484375 +1988,21,0,internal,15-17 yrs,20,175559,16.040584564208984,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,11.392181396484375 +1988,21,0,all,18-20 yrs,176,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,99.31327056884766 +1988,21,0,MVA,18-20 yrs,89,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,50.220916748046875 +1988,21,0,suicide,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,homicide,18-20 yrs,15,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,8.46419906616211 +1988,21,0,other external,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,internal,18-20 yrs,24,177217,18.99862289428711,0,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,13.542718887329102 +1988,21,0,all,21-24 yrs,256,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,108.2965316772461 +1988,21,0,MVA,21-24 yrs,107,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,45.264564514160156 +1988,21,0,suicide,21-24 yrs,34,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,14.383132934570312 +1988,21,0,homicide,21-24 yrs,16,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,6.768533229827881 +1988,21,0,other external,21-24 yrs,37,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,15.652233123779297 +1988,21,0,internal,21-24 yrs,62,236388,22.535953521728516,1,0.06762468069791794,1.0800000429153442,0.11999999731779099,0.5899999737739563,1.7899999618530273,26.228065490722656 +1989,21,0,MVA,15-17 yrs,64,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,38.499481201171875 +1989,21,0,suicide,15-17 yrs,8,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,4.812435150146484 +1989,21,0,homicide,15-17 yrs,4,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,2.406217575073242 +1989,21,0,other external,15-17 yrs,26,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,15.64041519165039 +1989,21,0,internal,15-17 yrs,28,166236,16.03237533569336,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.843523025512695 +1989,21,0,all,18-20 yrs,179,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,98.71178436279297 +1989,21,0,MVA,18-20 yrs,80,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,44.11699676513672 +1989,21,0,suicide,18-20 yrs,24,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,13.235099792480469 +1989,21,0,homicide,18-20 yrs,7,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,3.8602373600006104 +1989,21,0,other external,18-20 yrs,30,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.543874740600586 +1989,21,0,internal,18-20 yrs,38,181336,18.989538192749023,0,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,20.95557403564453 +1989,21,0,all,21-24 yrs,238,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,105.8808364868164 +1989,21,0,MVA,21-24 yrs,85,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,37.81458282470703 +1989,21,0,suicide,21-24 yrs,29,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,12.901446342468262 +1989,21,0,homicide,21-24 yrs,23,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,10.232181549072266 +1989,21,0,other external,21-24 yrs,36,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,16.015588760375977 +1989,21,0,internal,21-24 yrs,65,224781,22.523874282836914,1,0.06451612710952759,1.0800000429153442,0.11999999731779099,0.5600000023841858,1.7599999904632568,28.917034149169922 +1990,21,0,MVA,15-17 yrs,72,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,44.61436462402344 +1990,21,0,suicide,15-17 yrs,19,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,11.773235321044922 +1990,21,0,homicide,15-17 yrs,2,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,1.2392878532409668 +1990,21,0,other external,15-17 yrs,20,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,12.392879486083984 +1990,21,0,internal,15-17 yrs,22,161383,16.013818740844727,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,13.632166862487793 +1990,21,0,all,18-20 yrs,189,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,102.28434753417969 +1990,21,0,MVA,18-20 yrs,98,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,53.03633117675781 +1990,21,0,suicide,18-20 yrs,19,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,10.282553672790527 +1990,21,0,homicide,18-20 yrs,12,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,6.494244575500488 +1990,21,0,other external,18-20 yrs,24,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,12.988489151000977 +1990,21,0,internal,18-20 yrs,36,184779,19.01854705810547,0,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,19.48273277282715 +1990,21,0,all,21-24 yrs,262,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,119.3165283203125 +1990,21,0,MVA,21-24 yrs,83,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,37.79874801635742 +1990,21,0,suicide,21-24 yrs,44,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,20.03788948059082 +1990,21,0,homicide,21-24 yrs,29,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,13.206790924072266 +1990,21,0,other external,21-24 yrs,46,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,20.94870376586914 +1990,21,0,internal,21-24 yrs,60,219584,22.48676109313965,1,0.061208873987197876,1.1200000047683716,0.10999999940395355,0.6000000238418579,1.8300000429153442,27.32439613342285 +1991,21,0,MVA,15-17 yrs,70,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,43.31790542602539 +1991,21,0,suicide,15-17 yrs,22,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,13.614198684692383 +1991,21,0,homicide,15-17 yrs,2,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,1.237654447555542 +1991,21,0,other external,15-17 yrs,15,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,9.282407760620117 +1991,21,0,internal,15-17 yrs,27,161596,16.0120792388916,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,16.70833396911621 +1991,21,0,all,18-20 yrs,191,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,106.15357208251953 +1991,21,0,MVA,18-20 yrs,87,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,48.3526725769043 +1991,21,0,suicide,18-20 yrs,29,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,16.117557525634766 +1991,21,0,homicide,18-20 yrs,11,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,6.113556385040283 +1991,21,0,other external,18-20 yrs,31,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,17.229114532470703 +1991,21,0,internal,18-20 yrs,33,179928,19.050809860229492,0,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,18.340669631958008 +1991,21,0,all,21-24 yrs,237,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,106.97359466552734 +1991,21,0,MVA,21-24 yrs,97,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,43.782440185546875 +1991,21,0,suicide,21-24 yrs,31,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,13.992326736450195 +1991,21,0,homicide,21-24 yrs,23,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,10.381403923034668 +1991,21,0,other external,21-24 yrs,42,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,18.957345962524414 +1991,21,0,internal,21-24 yrs,44,221550,22.454713821411133,1,0.05873715132474899,1.1100000143051147,0.10999999940395355,0.5600000023841858,1.7799999713897705,19.860076904296875 +1992,21,0,MVA,15-17 yrs,62,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,37.362003326416016 +1992,21,0,suicide,15-17 yrs,11,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,6.628742218017578 +1992,21,0,homicide,15-17 yrs,10,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,6.026129245758057 +1992,21,0,other external,15-17 yrs,20,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,12.052258491516113 +1992,21,0,internal,15-17 yrs,36,165944,16.003633499145508,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,21.69406509399414 +1992,21,0,all,18-20 yrs,181,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,104.31134033203125 +1992,21,0,MVA,18-20 yrs,83,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,47.833377838134766 +1992,21,0,suicide,18-20 yrs,28,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,16.13656234741211 +1992,21,0,homicide,18-20 yrs,8,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,4.610445976257324 +1992,21,0,other external,18-20 yrs,27,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,15.560256004333496 +1992,21,0,internal,18-20 yrs,35,173519,19.040071487426758,0,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,20.17070198059082 +1992,21,0,all,21-24 yrs,251,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,109.90165710449219 +1992,21,0,MVA,21-24 yrs,95,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,41.59624481201172 +1992,21,0,suicide,21-24 yrs,44,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,19.265628814697266 +1992,21,0,homicide,21-24 yrs,22,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,9.632814407348633 +1992,21,0,other external,21-24 yrs,36,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,15.762787818908691 +1992,21,0,internal,21-24 yrs,54,228386,22.43228530883789,1,0.05748051032423973,1.0399999618530273,0.10999999940395355,0.5600000023841858,1.7100000381469727,23.644182205200195 +1993,21,0,MVA,15-17 yrs,67,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,39.65318298339844 +1993,21,0,suicide,15-17 yrs,8,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,4.734708309173584 +1993,21,0,homicide,15-17 yrs,7,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,4.14286994934082 +1993,21,0,other external,15-17 yrs,27,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,15.97964096069336 +1993,21,0,internal,15-17 yrs,29,168965,15.999544143676758,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,17.163318634033203 +1993,21,0,all,18-20 yrs,173,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,101.11282348632812 +1993,21,0,MVA,18-20 yrs,86,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,50.26417922973633 +1993,21,0,suicide,18-20 yrs,17,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,9.935942649841309 +1993,21,0,homicide,18-20 yrs,14,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,8.1825408935546875 +1993,21,0,other external,18-20 yrs,24,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,14.027213096618652 +1993,21,0,internal,18-20 yrs,32,171096,19.012203216552734,0,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,18.70294952392578 +1993,21,0,all,21-24 yrs,239,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,102.81736755371094 +1993,21,0,MVA,21-24 yrs,106,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,45.601009368896484 +1993,21,0,suicide,21-24 yrs,38,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,16.347530364990234 +1993,21,0,homicide,21-24 yrs,26,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,11.185153007507324 +1993,21,0,other external,21-24 yrs,31,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,13.336143493652344 +1993,21,0,internal,21-24 yrs,38,232451,22.461740493774414,1,0.05580979958176613,1.0800000429153442,0.10000000149011612,0.550000011920929,1.7300000190734863,16.347530364990234 +1994,21,0,MVA,15-17 yrs,54,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,31.149951934814453 +1994,21,0,suicide,15-17 yrs,18,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,10.383316993713379 +1994,21,0,homicide,15-17 yrs,7,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,4.037956714630127 +1994,21,0,other external,15-17 yrs,15,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,8.652764320373535 +1994,21,0,internal,15-17 yrs,28,173355,16.008352279663086,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,16.151826858520508 +1994,21,0,all,18-20 yrs,167,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,97.49433898925781 +1994,21,0,MVA,18-20 yrs,69,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,40.2820930480957 +1994,21,0,suicide,18-20 yrs,18,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,10.508371353149414 +1994,21,0,homicide,18-20 yrs,22,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,12.843564987182617 +1994,21,0,other external,18-20 yrs,28,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,16.346355438232422 +1994,21,0,internal,18-20 yrs,30,171292,19.010812759399414,0,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,17.513952255249023 +1994,21,0,all,21-24 yrs,245,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,106.09321594238281 +1994,21,0,MVA,21-24 yrs,89,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,38.53998565673828 +1994,21,0,suicide,21-24 yrs,34,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,14.723139762878418 +1994,21,0,homicide,21-24 yrs,27,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,11.69190502166748 +1994,21,0,other external,21-24 yrs,31,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,13.424039840698242 +1994,21,0,internal,21-24 yrs,64,230929,22.51265525817871,1,0.054416436702013016,1.0800000429153442,0.10999999940395355,0.550000011920929,1.7300000190734863,27.71414566040039 +1995,21,0,MVA,15-17 yrs,69,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,39.083518981933594 +1995,21,0,suicide,15-17 yrs,17,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,9.629273414611816 +1995,21,0,homicide,15-17 yrs,10,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,5.664278030395508 +1995,21,0,other external,15-17 yrs,19,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,10.762128829956055 +1995,21,0,internal,15-17 yrs,24,176545,15.999631881713867,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,13.594267845153809 +1995,21,0,all,18-20 yrs,165,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,94.34986877441406 +1995,21,0,MVA,18-20 yrs,84,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,48.03266143798828 +1995,21,0,suicide,18-20 yrs,23,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,13.151800155639648 +1995,21,0,homicide,18-20 yrs,15,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,8.577260971069336 +1995,21,0,other external,18-20 yrs,14,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,8.005443572998047 +1995,21,0,internal,18-20 yrs,29,174881,19.00336265563965,0,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,16.582704544067383 +1995,21,0,all,21-24 yrs,219,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,96.74555206298828 +1995,21,0,MVA,21-24 yrs,82,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,36.224361419677734 +1995,21,0,suicide,21-24 yrs,37,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,16.345138549804688 +1995,21,0,homicide,21-24 yrs,26,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,11.485773086547852 +1995,21,0,other external,21-24 yrs,29,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,12.811054229736328 +1995,21,0,internal,21-24 yrs,45,226367,22.531896591186523,1,0.05291677266359329,1.0499999523162842,0.11999999731779099,0.5400000214576721,1.7100000381469727,19.879222869873047 +1996,21,0,MVA,15-17 yrs,67,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,37.705055236816406 +1996,21,0,suicide,15-17 yrs,15,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,8.44143009185791 +1996,21,0,homicide,15-17 yrs,10,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,5.627620220184326 +1996,21,0,other external,15-17 yrs,17,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,9.566954612731934 +1996,21,0,internal,15-17 yrs,23,177695,16.012409210205078,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.943527221679688 +1996,21,0,all,18-20 yrs,181,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,102.189453125 +1996,21,0,MVA,18-20 yrs,73,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,41.21453094482422 +1996,21,0,suicide,18-20 yrs,22,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.420817375183105 +1996,21,0,homicide,18-20 yrs,23,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,12.985400199890137 +1996,21,0,other external,18-20 yrs,28,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,15.808313369750977 +1996,21,0,internal,18-20 yrs,35,177122,18.998830795288086,0,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,19.760391235351562 +1996,21,0,all,21-24 yrs,185,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,84.06072235107422 +1996,21,0,MVA,21-24 yrs,81,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,36.80496597290039 +1996,21,0,suicide,21-24 yrs,29,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,13.17708683013916 +1996,21,0,homicide,21-24 yrs,18,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,8.178881645202637 +1996,21,0,other external,21-24 yrs,21,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,9.542028427124023 +1996,21,0,internal,21-24 yrs,36,220079,22.49996566772461,1,0.05139908194541931,1.0499999523162842,0.12999999523162842,0.5400000214576721,1.7200000286102295,16.357763290405273 +1970,22,1,MVA,15-17 yrs,70,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,30.22100257873535 +1970,22,1,suicide,15-17 yrs,4,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,1.726914405822754 +1970,22,1,homicide,15-17 yrs,16,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,6.907657623291016 +1970,22,1,other external,15-17 yrs,64,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,27.630630493164062 +1970,22,1,internal,15-17 yrs,74,231627,15.971946716308594,0,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,31.94791603088379 +1970,22,1,all,18-20 yrs,341,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,159.71372985839844 +1970,22,1,MVA,18-20 yrs,130,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,60.88793182373047 +1970,22,1,suicide,18-20 yrs,12,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,5.620424747467041 +1970,22,1,homicide,18-20 yrs,52,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,24.355173110961914 +1970,22,1,other external,18-20 yrs,75,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,35.127655029296875 +1970,22,1,internal,18-20 yrs,72,213507,18.97421646118164,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,33.72254943847656 +1970,22,1,all,21-24 yrs,429,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,184.79193115234375 +1970,22,1,MVA,21-24 yrs,144,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,62.02806091308594 +1970,22,1,suicide,21-24 yrs,26,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,11.19951057434082 +1970,22,1,homicide,21-24 yrs,74,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,31.875530242919922 +1970,22,1,other external,21-24 yrs,76,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,32.737030029296875 +1970,22,1,internal,21-24 yrs,109,232153,22.408403396606445,1,0.8247422575950623,1.2000000476837158,0.28999999165534973,0.9100000262260437,2.4000000953674316,46.9517936706543 +1971,22,1,MVA,15-17 yrs,81,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,33.91533660888672 +1971,22,1,suicide,15-17 yrs,8,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,3.349663019180298 +1971,22,1,homicide,15-17 yrs,21,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,8.792864799499512 +1971,22,1,other external,15-17 yrs,70,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,29.309551239013672 +1971,22,1,internal,15-17 yrs,65,238830,15.986249923706055,0,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,27.21601104736328 +1971,22,1,all,18-20 yrs,314,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,142.95079040527344 +1971,22,1,MVA,18-20 yrs,116,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,52.80984878540039 +1971,22,1,suicide,18-20 yrs,14,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,6.373602390289307 +1971,22,1,homicide,18-20 yrs,41,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,18.665550231933594 +1971,22,1,other external,18-20 yrs,66,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,30.046981811523438 +1971,22,1,internal,18-20 yrs,77,219656,18.996776580810547,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,35.054813385009766 +1971,22,1,all,21-24 yrs,448,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,172.2937774658203 +1971,22,1,MVA,21-24 yrs,132,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,50.76512908935547 +1971,22,1,suicide,21-24 yrs,22,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,8.460855484008789 +1971,22,1,homicide,21-24 yrs,81,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,31.151330947875977 +1971,22,1,other external,21-24 yrs,80,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,30.766746520996094 +1971,22,1,internal,21-24 yrs,133,260021,22.498809814453125,1,0.790123462677002,1.1799999475479126,0.33000001311302185,0.9700000286102295,2.4800000190734863,51.149715423583984 +1972,22,1,MVA,15-17 yrs,96,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,39.2259407043457 +1972,22,1,suicide,15-17 yrs,12,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,4.903242588043213 +1972,22,1,homicide,15-17 yrs,16,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,6.537656784057617 +1972,22,1,other external,15-17 yrs,72,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,29.419456481933594 +1972,22,1,internal,15-17 yrs,66,244736,15.987112998962402,0,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,26.96783447265625 +1972,22,1,all,18-20 yrs,336,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,151.18722534179688 +1972,22,1,MVA,18-20 yrs,118,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,53.09551239013672 +1972,22,1,suicide,18-20 yrs,16,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,7.199391841888428 +1972,22,1,homicide,18-20 yrs,50,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,22.498098373413086 +1972,22,1,other external,18-20 yrs,64,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,28.79756736755371 +1972,22,1,internal,18-20 yrs,88,222241,18.98526382446289,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,39.59665298461914 +1972,22,1,all,21-24 yrs,404,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,152.34130859375 +1972,22,1,MVA,21-24 yrs,110,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,41.479068756103516 +1972,22,1,suicide,21-24 yrs,26,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,9.804142951965332 +1972,22,1,homicide,21-24 yrs,86,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,32.4290885925293 +1972,22,1,other external,21-24 yrs,86,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,32.4290885925293 +1972,22,1,internal,21-24 yrs,96,265194,22.449909210205078,1,0.7655502557754517,1.2200000286102295,0.3100000023841858,0.9599999785423279,2.490000009536743,36.199913024902344 +1973,22,1,MVA,15-17 yrs,105,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,42.63595962524414 +1973,22,1,suicide,15-17 yrs,11,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,4.4666242599487305 +1973,22,1,homicide,15-17 yrs,13,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,5.278737545013428 +1973,22,1,other external,15-17 yrs,82,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,33.296653747558594 +1973,22,1,internal,15-17 yrs,65,246271,15.988009452819824,0,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,26.393688201904297 +1973,22,1,all,18-20 yrs,401,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,177.05601501464844 +1973,22,1,MVA,18-20 yrs,153,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,67.55503845214844 +1973,22,1,suicide,18-20 yrs,20,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,8.830723762512207 +1973,22,1,homicide,18-20 yrs,59,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,26.050636291503906 +1973,22,1,other external,18-20 yrs,87,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,38.41365051269531 +1973,22,1,internal,18-20 yrs,82,226482,18.972354888916016,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,36.20596694946289 +1973,22,1,all,21-24 yrs,476,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,174.5111083984375 +1973,22,1,MVA,21-24 yrs,125,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,45.82749938964844 +1973,22,1,suicide,21-24 yrs,38,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,13.931559562683105 +1973,22,1,homicide,21-24 yrs,104,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,38.12847900390625 +1973,22,1,other external,21-24 yrs,93,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,34.09565734863281 +1973,22,1,internal,21-24 yrs,116,272762,22.46184539794922,1,0.7207207083702087,1.2599999904632568,0.20999999344348907,0.9599999785423279,2.4200000762939453,42.52791976928711 +1974,22,1,MVA,15-17 yrs,75,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,30.186918258666992 +1974,22,1,suicide,15-17 yrs,11,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,4.427414417266846 +1974,22,1,homicide,15-17 yrs,28,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,11.269782066345215 +1974,22,1,other external,15-17 yrs,65,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.16199493408203 +1974,22,1,internal,15-17 yrs,65,248452,15.995335578918457,0,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.16199493408203 +1974,22,1,all,18-20 yrs,358,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,153.13018798828125 +1974,22,1,MVA,18-20 yrs,100,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,42.77379608154297 +1974,22,1,suicide,18-20 yrs,20,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,8.55475902557373 +1974,22,1,homicide,18-20 yrs,62,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,26.519752502441406 +1974,22,1,other external,18-20 yrs,97,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,41.49058151245117 +1974,22,1,internal,18-20 yrs,79,233788,18.987462997436523,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,33.791297912597656 +1974,22,1,all,21-24 yrs,486,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,173.4970703125 +1974,22,1,MVA,21-24 yrs,99,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,35.34199523925781 +1974,22,1,suicide,21-24 yrs,38,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,13.565614700317383 +1974,22,1,homicide,21-24 yrs,100,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,35.6989860534668 +1974,22,1,other external,21-24 yrs,126,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,44.9807243347168 +1974,22,1,internal,21-24 yrs,123,280120,22.485698699951172,1,0.6490871906280518,1.2899999618530273,0.20999999344348907,0.9700000286102295,2.4600000381469727,43.909751892089844 +1975,22,1,MVA,15-17 yrs,86,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.23280715942383 +1975,22,1,suicide,15-17 yrs,10,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,3.9805588722229004 +1975,22,1,homicide,15-17 yrs,19,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,7.5630621910095215 +1975,22,1,other external,15-17 yrs,70,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,27.86391258239746 +1975,22,1,internal,15-17 yrs,56,251221,15.992094993591309,0,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,22.29113006591797 +1975,22,1,all,18-20 yrs,373,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,153.31434631347656 +1975,22,1,MVA,18-20 yrs,112,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,46.03540802001953 +1975,22,1,suicide,18-20 yrs,30,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,12.330912590026855 +1975,22,1,homicide,18-20 yrs,56,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,23.017704010009766 +1975,22,1,other external,18-20 yrs,81,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,33.29346466064453 +1975,22,1,internal,18-20 yrs,94,243291,18.99108123779297,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,38.63685989379883 +1975,22,1,all,21-24 yrs,462,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,159.08653259277344 +1975,22,1,MVA,21-24 yrs,108,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,37.189056396484375 +1975,22,1,suicide,21-24 yrs,46,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,15.839783668518066 +1975,22,1,homicide,21-24 yrs,100,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.4343147277832 +1975,22,1,other external,21-24 yrs,99,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,34.089969635009766 +1975,22,1,internal,21-24 yrs,109,290408,22.482858657836914,1,0.5947955250740051,1.2999999523162842,0.2199999988079071,1.0199999809265137,2.5299999713897705,37.53340148925781 +1976,22,1,MVA,15-17 yrs,99,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,38.884525299072266 +1976,22,1,suicide,15-17 yrs,8,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,3.142183780670166 +1976,22,1,homicide,15-17 yrs,21,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,8.2482328414917 +1976,22,1,other external,15-17 yrs,63,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,24.74469757080078 +1976,22,1,internal,15-17 yrs,68,254600,15.994866371154785,0,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,26.70856285095215 +1976,22,1,all,18-20 yrs,367,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,148.9556884765625 +1976,22,1,MVA,18-20 yrs,126,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,51.140098571777344 +1976,22,1,suicide,18-20 yrs,31,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,12.582087516784668 +1976,22,1,homicide,18-20 yrs,49,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,19.8878173828125 +1976,22,1,other external,18-20 yrs,91,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,36.93451690673828 +1976,22,1,internal,18-20 yrs,70,246382,18.991910934448242,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,28.41116714477539 +1976,22,1,all,21-24 yrs,450,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,151.56005859375 +1976,22,1,MVA,21-24 yrs,116,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,39.06881332397461 +1976,22,1,suicide,21-24 yrs,39,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,13.135205268859863 +1976,22,1,homicide,21-24 yrs,74,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,24.92321014404297 +1976,22,1,other external,21-24 yrs,106,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,35.70081329345703 +1976,22,1,internal,21-24 yrs,115,296912,22.463029861450195,1,0.562390148639679,1.2699999809265137,0.2800000011920929,1.0499999523162842,2.609999895095825,38.73201370239258 +1977,22,1,MVA,15-17 yrs,86,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,33.76601028442383 +1977,22,1,suicide,15-17 yrs,13,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,5.104164123535156 +1977,22,1,homicide,15-17 yrs,26,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,10.208328247070312 +1977,22,1,other external,15-17 yrs,58,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,22.772424697875977 +1977,22,1,internal,15-17 yrs,53,254694,16.003419876098633,0,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,20.809284210205078 +1977,22,1,all,18-20 yrs,408,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,161.6187286376953 +1977,22,1,MVA,18-20 yrs,144,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,57.041900634765625 +1977,22,1,suicide,18-20 yrs,29,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,11.487605094909668 +1977,22,1,homicide,18-20 yrs,62,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,24.559707641601562 +1977,22,1,other external,18-20 yrs,95,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,37.63180923461914 +1977,22,1,internal,18-20 yrs,78,252446,19.001096725463867,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,30.89769744873047 +1977,22,1,all,21-24 yrs,492,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,160.62474060058594 +1977,22,1,MVA,21-24 yrs,129,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,42.11502456665039 +1977,22,1,suicide,21-24 yrs,64,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,20.894275665283203 +1977,22,1,homicide,21-24 yrs,86,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,28.07668113708496 +1977,22,1,other external,21-24 yrs,119,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,38.85029220581055 +1977,22,1,internal,21-24 yrs,94,306304,22.4595890045166,1,0.528052806854248,1.2999999523162842,0.25,1.0299999713897705,2.569999933242798,30.688467025756836 +1978,22,1,MVA,15-17 yrs,89,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,35.19650650024414 +1978,22,1,suicide,15-17 yrs,15,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,5.931995391845703 +1978,22,1,homicide,15-17 yrs,23,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,9.09572696685791 +1978,22,1,other external,15-17 yrs,60,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,23.727981567382812 +1978,22,1,internal,15-17 yrs,57,252866,16.005271911621094,0,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,22.541584014892578 +1978,22,1,all,18-20 yrs,427,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,166.7884063720703 +1978,22,1,MVA,18-20 yrs,156,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,60.93440628051758 +1978,22,1,suicide,18-20 yrs,33,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,12.889970779418945 +1978,22,1,homicide,18-20 yrs,65,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,25.38933563232422 +1978,22,1,other external,18-20 yrs,96,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,37.49809646606445 +1978,22,1,internal,18-20 yrs,77,256013,18.99859046936035,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,30.076597213745117 +1978,22,1,all,21-24 yrs,552,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,173.875244140625 +1978,22,1,MVA,21-24 yrs,180,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,56.698448181152344 +1978,22,1,suicide,21-24 yrs,59,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,18.584491729736328 +1978,22,1,homicide,21-24 yrs,99,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,31.184146881103516 +1978,22,1,other external,21-24 yrs,98,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,30.869155883789062 +1978,22,1,internal,21-24 yrs,116,317469,22.465417861938477,1,0.4907975494861603,1.350000023841858,0.25,1.0700000524520874,2.6700000762939453,36.53900146484375 +1979,22,1,MVA,15-17 yrs,73,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,28.974117279052734 +1979,22,1,suicide,15-17 yrs,15,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,5.953585624694824 +1979,22,1,homicide,15-17 yrs,21,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,8.335020065307617 +1979,22,1,other external,15-17 yrs,60,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,23.814342498779297 +1979,22,1,internal,15-17 yrs,44,251949,16.00120735168457,0,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,17.463851928710938 +1979,22,1,all,18-20 yrs,416,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,160.05479431152344 +1979,22,1,MVA,18-20 yrs,167,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,64.25276184082031 +1979,22,1,suicide,18-20 yrs,41,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,15.774630546569824 +1979,22,1,homicide,18-20 yrs,71,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,27.31704330444336 +1979,22,1,other external,18-20 yrs,82,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,31.54926109313965 +1979,22,1,internal,18-20 yrs,55,259911,19.003150939941406,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,21.161088943481445 +1979,22,1,all,21-24 yrs,551,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,168.92410278320312 +1979,22,1,MVA,21-24 yrs,167,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,51.19841003417969 +1979,22,1,suicide,21-24 yrs,67,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,20.540679931640625 +1979,22,1,homicide,21-24 yrs,115,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,35.25638961791992 +1979,22,1,other external,21-24 yrs,91,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,27.898534774780273 +1979,22,1,internal,21-24 yrs,111,326182,22.47557830810547,1,0.44077134132385254,1.3600000143051147,0.25999999046325684,1.0800000429153442,2.700000047683716,34.03008270263672 +1980,22,1,MVA,15-17 yrs,94,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,37.519859313964844 +1980,22,1,suicide,15-17 yrs,20,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,7.982948303222656 +1980,22,1,homicide,15-17 yrs,26,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,10.377833366394043 +1980,22,1,other external,15-17 yrs,66,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,26.34372901916504 +1980,22,1,internal,15-17 yrs,51,250534,16.007883071899414,0,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,20.356517791748047 +1980,22,1,all,18-20 yrs,421,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,159.56640625 +1980,22,1,MVA,18-20 yrs,163,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,61.77986526489258 +1980,22,1,suicide,18-20 yrs,48,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,18.19284439086914 +1980,22,1,homicide,18-20 yrs,62,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,23.49909019470215 +1980,22,1,other external,18-20 yrs,91,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,34.4906005859375 +1980,22,1,internal,18-20 yrs,57,263840,19.012678146362305,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,21.604001998901367 +1980,22,1,all,21-24 yrs,597,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,178.89837646484375 +1980,22,1,MVA,21-24 yrs,210,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,62.9290771484375 +1980,22,1,suicide,21-24 yrs,54,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,16.1817626953125 +1980,22,1,homicide,21-24 yrs,100,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,29.966228485107422 +1980,22,1,other external,21-24 yrs,117,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,35.06048583984375 +1980,22,1,internal,21-24 yrs,116,333709,22.47844886779785,1,0.3883495032787323,1.409999966621399,0.27000001072883606,1.0399999618530273,2.7100000381469727,34.760826110839844 +1981,22,1,MVA,15-17 yrs,96,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,39.19151306152344 +1981,22,1,suicide,15-17 yrs,14,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,5.715428829193115 +1981,22,1,homicide,15-17 yrs,16,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,6.531918525695801 +1981,22,1,other external,15-17 yrs,58,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,23.678205490112305 +1981,22,1,internal,15-17 yrs,43,244951,16.028573989868164,0,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,17.55453109741211 +1981,22,1,all,18-20 yrs,393,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,149.3558349609375 +1981,22,1,MVA,18-20 yrs,167,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,63.46672821044922 +1981,22,1,suicide,18-20 yrs,31,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,11.781249046325684 +1981,22,1,homicide,18-20 yrs,64,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,24.32257843017578 +1981,22,1,other external,18-20 yrs,78,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,29.643142700195312 +1981,22,1,internal,18-20 yrs,53,263130,19.02460289001465,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,20.142135620117188 +1981,22,1,all,21-24 yrs,595,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,174.98764038085938 +1981,22,1,MVA,21-24 yrs,181,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,53.231536865234375 +1981,22,1,suicide,21-24 yrs,57,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,16.76352310180664 +1981,22,1,homicide,21-24 yrs,135,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,39.70307922363281 +1981,22,1,other external,21-24 yrs,115,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,33.82114028930664 +1981,22,1,internal,21-24 yrs,107,340024,22.48410415649414,1,0.35203519463539124,1.4800000190734863,0.27000001072883606,1.0199999809265137,2.7699999809265137,31.468366622924805 +1982,22,1,MVA,15-17 yrs,64,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,26.922203063964844 +1982,22,1,suicide,15-17 yrs,22,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,9.254507064819336 +1982,22,1,homicide,15-17 yrs,30,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,12.619782447814941 +1982,22,1,other external,15-17 yrs,47,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,19.770992279052734 +1982,22,1,internal,15-17 yrs,35,237722,16.03030776977539,0,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,14.723079681396484 +1982,22,1,all,18-20 yrs,353,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,134.7976531982422 +1982,22,1,MVA,18-20 yrs,152,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,58.043182373046875 +1982,22,1,suicide,18-20 yrs,28,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,10.69216537475586 +1982,22,1,homicide,18-20 yrs,58,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,22.148056030273438 +1982,22,1,other external,18-20 yrs,67,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,25.584823608398438 +1982,22,1,internal,18-20 yrs,48,261874,19.017446517944336,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,18.329425811767578 +1982,22,1,all,21-24 yrs,607,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,175.9930419921875 +1982,22,1,MVA,21-24 yrs,180,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,52.18904113769531 +1982,22,1,suicide,21-24 yrs,74,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,21.455493927001953 +1982,22,1,homicide,21-24 yrs,126,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,36.53232955932617 +1982,22,1,other external,21-24 yrs,112,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,32.47317886352539 +1982,22,1,internal,21-24 yrs,115,344900,22.480741500854492,1,0.3316062092781067,1.4900000095367432,0.30000001192092896,1,2.7799999713897705,33.34299850463867 +1983,22,1,MVA,15-17 yrs,69,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,30.057764053344727 +1983,22,1,suicide,15-17 yrs,15,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,6.53429651260376 +1983,22,1,homicide,15-17 yrs,15,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,6.53429651260376 +1983,22,1,other external,15-17 yrs,31,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,13.504212379455566 +1983,22,1,internal,15-17 yrs,38,229558,16.020404815673828,0,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,16.553550720214844 +1983,22,1,all,18-20 yrs,353,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,136.899169921875 +1983,22,1,MVA,18-20 yrs,126,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,48.86486053466797 +1983,22,1,suicide,18-20 yrs,41,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,15.900470733642578 +1983,22,1,homicide,18-20 yrs,62,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,24.044614791870117 +1983,22,1,other external,18-20 yrs,59,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,22.88116455078125 +1983,22,1,internal,18-20 yrs,65,257854,19.015981674194336,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,25.20806312561035 +1983,22,1,all,21-24 yrs,522,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,152.1697235107422 +1983,22,1,MVA,21-24 yrs,149,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,43.435420989990234 +1983,22,1,suicide,21-24 yrs,61,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,17.782285690307617 +1983,22,1,homicide,21-24 yrs,111,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,32.357933044433594 +1983,22,1,other external,21-24 yrs,92,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,26.81918716430664 +1983,22,1,internal,21-24 yrs,109,343038,22.48987579345703,1,0.3212851285934448,1.4299999475479126,0.30000001192092896,1.0199999809265137,2.75,31.774906158447266 +1984,22,1,MVA,15-17 yrs,73,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,32.39664077758789 +1984,22,1,suicide,15-17 yrs,17,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,7.5444231033325195 +1984,22,1,homicide,15-17 yrs,21,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,9.319581985473633 +1984,22,1,other external,15-17 yrs,34,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,15.088846206665039 +1984,22,1,internal,15-17 yrs,40,225332,16.007455825805664,0,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,17.751585006713867 +1984,22,1,all,18-20 yrs,305,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,122.4039306640625 +1984,22,1,MVA,18-20 yrs,120,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,48.1589241027832 +1984,22,1,suicide,18-20 yrs,27,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,10.835758209228516 +1984,22,1,homicide,18-20 yrs,50,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,20.066219329833984 +1984,22,1,other external,18-20 yrs,53,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,21.270191192626953 +1984,22,1,internal,18-20 yrs,55,249175,19.035537719726562,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,22.072839736938477 +1984,22,1,all,21-24 yrs,479,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,142.56715393066406 +1984,22,1,MVA,21-24 yrs,154,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,45.83578872680664 +1984,22,1,suicide,21-24 yrs,62,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,18.453369140625 +1984,22,1,homicide,21-24 yrs,67,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,19.941543579101562 +1984,22,1,other external,21-24 yrs,81,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,24.108434677124023 +1984,22,1,internal,21-24 yrs,115,335982,22.502925872802734,1,0.3079884350299835,1.399999976158142,0.28999999165534973,0.9399999976158142,2.630000114440918,34.228023529052734 +1985,22,1,MVA,15-17 yrs,63,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,28.074115753173828 +1985,22,1,suicide,15-17 yrs,16,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,7.129934310913086 +1985,22,1,homicide,15-17 yrs,16,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,7.129934310913086 +1985,22,1,other external,15-17 yrs,30,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,13.368626594543457 +1985,22,1,internal,15-17 yrs,29,224406,15.99256706237793,0,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,12.923006057739258 +1985,22,1,all,18-20 yrs,306,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,128.37777709960938 +1985,22,1,MVA,18-20 yrs,130,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,54.539581298828125 +1985,22,1,suicide,18-20 yrs,37,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,15.522804260253906 +1985,22,1,homicide,18-20 yrs,43,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,18.040016174316406 +1985,22,1,other external,18-20 yrs,44,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,18.459550857543945 +1985,22,1,internal,18-20 yrs,52,238359,19.034757614135742,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,21.815832138061523 +1985,22,1,all,21-24 yrs,448,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,136.5379180908203 +1985,22,1,MVA,21-24 yrs,147,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,44.8015022277832 +1985,22,1,suicide,21-24 yrs,56,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,17.06723976135254 +1985,22,1,homicide,21-24 yrs,64,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,19.505414962768555 +1985,22,1,other external,21-24 yrs,93,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,28.343807220458984 +1985,22,1,internal,21-24 yrs,88,328114,22.503232955932617,1,0.29739776253700256,1.350000023841858,0.27000001072883606,0.8600000143051147,2.490000009536743,26.8199462890625 +1986,22,1,MVA,15-17 yrs,60,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,26.602466583251953 +1986,22,1,suicide,15-17 yrs,19,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,8.424114227294922 +1986,22,1,homicide,15-17 yrs,19,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,8.424114227294922 +1986,22,1,other external,15-17 yrs,35,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,15.518105506896973 +1986,22,1,internal,15-17 yrs,35,225543,15.990595817565918,0,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,15.518105506896973 +1986,22,1,all,18-20 yrs,293,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,129.2012481689453 +1986,22,1,MVA,18-20 yrs,112,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,49.387508392333984 +1986,22,1,suicide,18-20 yrs,30,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,13.228796005249023 +1986,22,1,homicide,18-20 yrs,58,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,25.575674057006836 +1986,22,1,other external,18-20 yrs,43,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,18.961275100708008 +1986,22,1,internal,18-20 yrs,50,226778,19.023101806640625,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,22.04799461364746 +1986,22,1,all,21-24 yrs,461,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,145.72882080078125 +1986,22,1,MVA,21-24 yrs,148,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,46.78495788574219 +1986,22,1,suicide,21-24 yrs,62,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,19.599103927612305 +1986,22,1,homicide,21-24 yrs,90,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,28.4503116607666 +1986,22,1,other external,21-24 yrs,63,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,19.915218353271484 +1986,22,1,internal,21-24 yrs,98,316341,22.49858856201172,1,0.29197078943252563,1.3899999856948853,0.25999999046325684,0.7799999713897705,2.4200000762939453,30.979228973388672 +1987,22,0.32486844062805176,MVA,15-17 yrs,59,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,26.945560455322266 +1987,22,0.32486844062805176,suicide,15-17 yrs,21,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,9.590792655944824 +1987,22,0.32486844062805176,homicide,15-17 yrs,25,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,11.417610168457031 +1987,22,0.32486844062805176,other external,15-17 yrs,31,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,14.1578369140625 +1987,22,0.32486844062805176,internal,15-17 yrs,43,218960,16.011823654174805,0,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,19.638290405273438 +1987,22,0.32486844062805176,all,18-20 yrs,239,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,109.5164794921875 +1987,22,0.32486844062805176,MVA,18-20 yrs,82,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,37.57469177246094 +1987,22,0.32486844062805176,suicide,18-20 yrs,38,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,17.412662506103516 +1987,22,0.32486844062805176,homicide,18-20 yrs,43,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,19.70380210876465 +1987,22,0.32486844062805176,other external,18-20 yrs,36,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,16.496206283569336 +1987,22,0.32486844062805176,internal,18-20 yrs,40,218232,19.010351181030273,0.32486844062805176,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,18.329116821289062 +1987,22,0.32486844062805176,all,21-24 yrs,389,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,130.48480224609375 +1987,22,0.32486844062805176,MVA,21-24 yrs,128,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,42.935874938964844 +1987,22,0.32486844062805176,suicide,21-24 yrs,43,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,14.4237699508667 +1987,22,0.32486844062805176,homicide,21-24 yrs,69,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,23.14512062072754 +1987,22,0.32486844062805176,other external,21-24 yrs,53,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,17.778135299682617 +1987,22,0.32486844062805176,internal,21-24 yrs,96,298119,22.510732650756836,1,0.28169015049934387,1.3600000143051147,0.23999999463558197,0.75,2.3399999141693115,32.201904296875 +1988,22,0.004337656777352095,MVA,15-17 yrs,58,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,27.730100631713867 +1988,22,0.004337656777352095,suicide,15-17 yrs,15,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,7.171577453613281 +1988,22,0.004337656777352095,homicide,15-17 yrs,29,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,13.865050315856934 +1988,22,0.004337656777352095,other external,15-17 yrs,21,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,10.04020881652832 +1988,22,0.004337656777352095,internal,15-17 yrs,28,209159,16.029882431030273,0,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,13.386944770812988 +1988,22,0.004337656777352095,all,18-20 yrs,272,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,127.52351379394531 +1988,22,0.004337656777352095,MVA,18-20 yrs,111,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,52.04084396362305 +1988,22,0.004337656777352095,suicide,18-20 yrs,32,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,15.002766609191895 +1988,22,0.004337656777352095,homicide,18-20 yrs,50,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,23.441822052001953 +1988,22,0.004337656777352095,other external,18-20 yrs,42,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,19.691129684448242 +1988,22,0.004337656777352095,internal,18-20 yrs,37,213294,18.996122360229492,0.004337656777352095,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,17.346948623657227 +1988,22,0.004337656777352095,all,21-24 yrs,425,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,150.92007446289062 +1988,22,0.004337656777352095,MVA,21-24 yrs,112,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,39.771881103515625 +1988,22,0.004337656777352095,suicide,21-24 yrs,56,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,19.885940551757812 +1988,22,0.004337656777352095,homicide,21-24 yrs,96,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,34.09018325805664 +1988,22,0.004337656777352095,other external,21-24 yrs,64,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,22.726787567138672 +1988,22,0.004337656777352095,internal,21-24 yrs,97,281606,22.521047592163086,1,0.27049872279167175,1.440000057220459,0.23999999463558197,0.6899999976158142,2.369999885559082,34.445289611816406 +1989,22,0,MVA,15-17 yrs,59,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,29.79467010498047 +1989,22,0,suicide,15-17 yrs,22,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,11.10987663269043 +1989,22,0,homicide,15-17 yrs,45,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,22.724748611450195 +1989,22,0,other external,15-17 yrs,29,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,14.644837379455566 +1989,22,0,internal,15-17 yrs,33,198022,16.020078659057617,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,16.66481590270996 +1989,22,0,all,18-20 yrs,242,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,113.74050903320312 +1989,22,0,MVA,18-20 yrs,71,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,33.37015151977539 +1989,22,0,suicide,18-20 yrs,27,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,12.690056800842285 +1989,22,0,homicide,18-20 yrs,64,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,30.080135345458984 +1989,22,0,other external,18-20 yrs,34,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,15.980072021484375 +1989,22,0,internal,18-20 yrs,46,212765,18.994487762451172,0,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,21.620098114013672 +1989,22,0,all,21-24 yrs,412,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,154.85519409179688 +1989,22,0,MVA,21-24 yrs,111,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,41.72069549560547 +1989,22,0,suicide,21-24 yrs,40,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,15.034485816955566 +1989,22,0,homicide,21-24 yrs,97,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,36.45862579345703 +1989,22,0,other external,21-24 yrs,48,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,18.0413818359375 +1989,22,0,internal,21-24 yrs,116,266055,22.514934539794922,1,0.25806450843811035,1.4299999475479126,0.23000000417232513,0.7200000286102295,2.380000114440918,43.600006103515625 +1990,22,0,MVA,15-17 yrs,82,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,43.33030319213867 +1990,22,0,suicide,15-17 yrs,24,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,12.682040214538574 +1990,22,0,homicide,15-17 yrs,50,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,26.420917510986328 +1990,22,0,other external,15-17 yrs,31,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.38096809387207 +1990,22,0,internal,15-17 yrs,26,189244,16.013797760009766,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,13.738876342773438 +1990,22,0,all,18-20 yrs,309,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,145.88270568847656 +1990,22,0,MVA,18-20 yrs,112,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,52.87657928466797 +1990,22,0,suicide,18-20 yrs,35,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.5239315032959 +1990,22,0,homicide,18-20 yrs,87,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,41.07377243041992 +1990,22,0,other external,18-20 yrs,39,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,18.41238021850586 +1990,22,0,internal,18-20 yrs,36,211814,19.01914405822754,0,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,16.996044158935547 +1990,22,0,all,21-24 yrs,472,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,182.9712677001953 +1990,22,0,MVA,21-24 yrs,114,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,44.19221115112305 +1990,22,0,suicide,21-24 yrs,61,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,23.646709442138672 +1990,22,0,homicide,21-24 yrs,130,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,50.394630432128906 +1990,22,0,other external,21-24 yrs,59,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,22.871408462524414 +1990,22,0,internal,21-24 yrs,108,257964,22.487668991088867,1,0.2448354959487915,1.5299999713897705,0.23000000417232513,0.7799999713897705,2.5399999618530273,41.86630630493164 +1991,22,0,MVA,15-17 yrs,56,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,29.252901077270508 +1991,22,0,suicide,15-17 yrs,21,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,10.96983814239502 +1991,22,0,homicide,15-17 yrs,45,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,23.50679588317871 +1991,22,0,other external,15-17 yrs,34,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,17.760690689086914 +1991,22,0,internal,15-17 yrs,21,191434,16.004837036132812,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,10.96983814239502 +1991,22,0,all,18-20 yrs,278,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,134.58363342285156 +1991,22,0,MVA,18-20 yrs,85,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,41.14967346191406 +1991,22,0,suicide,18-20 yrs,30,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,14.523414611816406 +1991,22,0,homicide,18-20 yrs,96,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,46.47492599487305 +1991,22,0,other external,18-20 yrs,27,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,13.071072578430176 +1991,22,0,internal,18-20 yrs,40,206563,19.040456771850586,0,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,19.364551544189453 +1991,22,0,all,21-24 yrs,439,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,169.60218811035156 +1991,22,0,MVA,21-24 yrs,101,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,39.02009201049805 +1991,22,0,suicide,21-24 yrs,58,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,22.407577514648438 +1991,22,0,homicide,21-24 yrs,141,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,54.473594665527344 +1991,22,0,other external,21-24 yrs,42,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,16.226177215576172 +1991,22,0,internal,21-24 yrs,97,258841,22.46625518798828,1,0.23494860529899597,1.5199999809265137,0.20999999344348907,0.7300000190734863,2.4600000381469727,37.4747428894043 +1992,22,0,MVA,15-17 yrs,63,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,31.875654220581055 +1992,22,0,suicide,15-17 yrs,25,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,12.649068832397461 +1992,22,0,homicide,15-17 yrs,47,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,23.780250549316406 +1992,22,0,other external,15-17 yrs,27,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,13.660994529724121 +1992,22,0,internal,15-17 yrs,29,197643,15.999984741210938,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,14.672920227050781 +1992,22,0,all,18-20 yrs,279,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,139.35507202148438 +1992,22,0,MVA,18-20 yrs,79,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,39.458961486816406 +1992,22,0,suicide,18-20 yrs,27,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,13.485974311828613 +1992,22,0,homicide,18-20 yrs,101,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,50.44753646850586 +1992,22,0,other external,18-20 yrs,35,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,17.48181915283203 +1992,22,0,internal,18-20 yrs,37,200208,19.029748916625977,0,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,18.48077964782715 +1992,22,0,all,21-24 yrs,408,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,155.52870178222656 +1992,22,0,MVA,21-24 yrs,94,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,35.83259201049805 +1992,22,0,suicide,21-24 yrs,44,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,16.772703170776367 +1992,22,0,homicide,21-24 yrs,133,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,50.69930648803711 +1992,22,0,other external,21-24 yrs,44,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,16.772703170776367 +1992,22,0,internal,21-24 yrs,93,262331,22.448936462402344,1,0.22808267176151276,1.5499999523162842,0.2199999988079071,0.7400000095367432,2.509999990463257,35.45139694213867 +1993,22,0,MVA,15-17 yrs,74,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,36.716182708740234 +1993,22,0,suicide,15-17 yrs,22,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,10.91562271118164 +1993,22,0,homicide,15-17 yrs,66,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,32.74686813354492 +1993,22,0,other external,15-17 yrs,27,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,13.396445274353027 +1993,22,0,internal,15-17 yrs,41,201546,16.00074005126953,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,20.342750549316406 +1993,22,0,all,18-20 yrs,319,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,160.700439453125 +1993,22,0,MVA,18-20 yrs,80,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,40.301048278808594 +1993,22,0,suicide,18-20 yrs,37,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,18.63923454284668 +1993,22,0,homicide,18-20 yrs,127,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,63.9779167175293 +1993,22,0,other external,18-20 yrs,37,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,18.63923454284668 +1993,22,0,internal,18-20 yrs,38,198506,19.003713607788086,0,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,19.14299774169922 +1993,22,0,all,21-24 yrs,451,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,171.79708862304688 +1993,22,0,MVA,21-24 yrs,99,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,37.71155548095703 +1993,22,0,suicide,21-24 yrs,59,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,22.474563598632812 +1993,22,0,homicide,21-24 yrs,170,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,64.75721740722656 +1993,22,0,other external,21-24 yrs,39,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,14.856067657470703 +1993,22,0,internal,21-24 yrs,84,262519,22.471942901611328,1,0.22145327925682068,1.5299999713897705,0.20999999344348907,0.7200000286102295,2.4700000286102295,31.997684478759766 +1994,22,0,MVA,15-17 yrs,60,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,28.903961181640625 +1994,22,0,suicide,15-17 yrs,24,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,11.56158447265625 +1994,22,0,homicide,15-17 yrs,46,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,22.159704208374023 +1994,22,0,other external,15-17 yrs,27,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,13.006782531738281 +1994,22,0,internal,15-17 yrs,32,207584,16.00768280029297,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,15.415446281433105 +1994,22,0,all,18-20 yrs,318,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,158.60032653808594 +1994,22,0,MVA,18-20 yrs,82,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,40.89693832397461 +1994,22,0,suicide,18-20 yrs,41,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,20.448469161987305 +1994,22,0,homicide,18-20 yrs,126,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,62.84164047241211 +1994,22,0,other external,18-20 yrs,28,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,13.964808464050293 +1994,22,0,internal,18-20 yrs,41,200504,18.9971866607666,0,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,20.448469161987305 +1994,22,0,all,21-24 yrs,432,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,166.36180114746094 +1994,22,0,MVA,21-24 yrs,101,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,38.894771575927734 +1994,22,0,suicide,21-24 yrs,46,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,17.71445083618164 +1994,22,0,homicide,21-24 yrs,157,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,60.46018981933594 +1994,22,0,other external,21-24 yrs,41,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,15.78896713256836 +1994,22,0,internal,21-24 yrs,87,259675,22.506845474243164,1,0.2159244269132614,1.4500000476837158,0.20999999344348907,0.7300000190734863,2.390000104904175,33.50341796875 +1995,22,0,MVA,15-17 yrs,65,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,30.32494354248047 +1995,22,0,suicide,15-17 yrs,15,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,6.998064041137695 +1995,22,0,homicide,15-17 yrs,47,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,21.92726707458496 +1995,22,0,other external,15-17 yrs,23,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,10.730364799499512 +1995,22,0,internal,15-17 yrs,37,214345,15.99261474609375,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,17.261890411376953 +1995,22,0,all,18-20 yrs,291,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,140.8382568359375 +1995,22,0,MVA,18-20 yrs,95,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,45.97812271118164 +1995,22,0,suicide,18-20 yrs,25,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,12.099506378173828 +1995,22,0,homicide,18-20 yrs,109,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,52.753849029541016 +1995,22,0,other external,18-20 yrs,23,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,11.131546020507812 +1995,22,0,internal,18-20 yrs,39,206620,18.99195098876953,0,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,18.87523078918457 +1995,22,0,all,21-24 yrs,384,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,151.15313720703125 +1995,22,0,MVA,21-24 yrs,91,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,35.82014465332031 +1995,22,0,suicide,21-24 yrs,45,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,17.7132568359375 +1995,22,0,homicide,21-24 yrs,129,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,50.77800750732422 +1995,22,0,other external,21-24 yrs,39,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,15.351490020751953 +1995,22,0,internal,21-24 yrs,80,254047,22.51630210876465,1,0.2099737524986267,1.5499999523162842,0.20999999344348907,0.7300000190734863,2.5,31.490236282348633 +1996,22,0,MVA,15-17 yrs,54,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,24.690454483032227 +1996,22,0,suicide,15-17 yrs,24,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,10.973535537719727 +1996,22,0,homicide,15-17 yrs,45,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,20.57537841796875 +1996,22,0,other external,15-17 yrs,19,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,8.687382698059082 +1996,22,0,internal,15-17 yrs,29,218708,16.00555992126465,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,13.259688377380371 +1996,22,0,all,18-20 yrs,290,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,137.35743713378906 +1996,22,0,MVA,18-20 yrs,78,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,36.94441223144531 +1996,22,0,suicide,18-20 yrs,36,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,17.051267623901367 +1996,22,0,homicide,18-20 yrs,120,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,56.83755874633789 +1996,22,0,other external,18-20 yrs,26,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,12.314804077148438 +1996,22,0,internal,18-20 yrs,30,211128,18.99077796936035,0,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.209389686584473 +1996,22,0,all,21-24 yrs,381,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,153.21078491210938 +1996,22,0,MVA,21-24 yrs,98,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,39.40855026245117 +1996,22,0,suicide,21-24 yrs,36,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.47661018371582 +1996,22,0,homicide,21-24 yrs,128,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,51.47239303588867 +1996,22,0,other external,21-24 yrs,35,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,14.074481964111328 +1996,22,0,internal,21-24 yrs,84,248677,22.482295989990234,1,0.20395156741142273,1.5,0.2199999988079071,0.7200000286102295,2.440000057220459,33.77875900268555 +1970,23,0.3228622376918793,MVA,15-17 yrs,26,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,44.89958190917969 +1970,23,0.3228622376918793,suicide,15-17 yrs,2,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,3.4538137912750244 +1970,23,0.3228622376918793,homicide,15-17 yrs,0,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,0 +1970,23,0.3228622376918793,other external,15-17 yrs,12,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,20.722883224487305 +1970,23,0.3228622376918793,internal,15-17 yrs,17,57907,15.979640007019043,0,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,29.357418060302734 +1970,23,0.3228622376918793,all,18-20 yrs,75,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,142.01318359375 +1970,23,0.3228622376918793,MVA,18-20 yrs,38,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,71.9533462524414 +1970,23,0.3228622376918793,suicide,18-20 yrs,6,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,11.361054420471191 +1970,23,0.3228622376918793,homicide,18-20 yrs,1,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,1.893509030342102 +1970,23,0.3228622376918793,other external,18-20 yrs,9,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,17.041582107543945 +1970,23,0.3228622376918793,internal,18-20 yrs,21,52812,18.969703674316406,0.3228622376918793,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,39.76369094848633 +1970,23,0.3228622376918793,all,21-24 yrs,93,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,157.42965698242188 +1970,23,0.3228622376918793,MVA,21-24 yrs,48,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,81.25402069091797 +1970,23,0.3228622376918793,suicide,21-24 yrs,8,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,13.542336463928223 +1970,23,0.3228622376918793,homicide,21-24 yrs,3,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,5.078376293182373 +1970,23,0.3228622376918793,other external,21-24 yrs,19,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,32.16305160522461 +1970,23,0.3228622376918793,internal,21-24 yrs,15,59074,22.369131088256836,1,0.6443299055099487,1.2400000095367432,0.10000000149011612,1.0299999713897705,2.369999885559082,25.391881942749023 +1971,23,0.3161870241165161,MVA,15-17 yrs,28,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,47.053287506103516 +1971,23,0.3161870241165161,suicide,15-17 yrs,4,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,6.721898078918457 +1971,23,0.3161870241165161,homicide,15-17 yrs,0,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,0 +1971,23,0.3161870241165161,other external,15-17 yrs,18,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,30.24854278564453 +1971,23,0.3161870241165161,internal,15-17 yrs,15,59507,15.992975234985352,0,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,25.20711898803711 +1971,23,0.3161870241165161,all,18-20 yrs,61,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,112.38439178466797 +1971,23,0.3161870241165161,MVA,18-20 yrs,29,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,53.428646087646484 +1971,23,0.3161870241165161,suicide,18-20 yrs,8,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,14.738936424255371 +1971,23,0.3161870241165161,homicide,18-20 yrs,1,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,1.8423670530319214 +1971,23,0.3161870241165161,other external,18-20 yrs,11,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,20.266036987304688 +1971,23,0.3161870241165161,internal,18-20 yrs,12,54278,18.967924118041992,0.3161870241165161,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,22.1084041595459 +1971,23,0.3161870241165161,all,21-24 yrs,88,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,131.3707275390625 +1971,23,0.3161870241165161,MVA,21-24 yrs,42,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,62.699668884277344 +1971,23,0.3161870241165161,suicide,21-24 yrs,11,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,16.421340942382812 +1971,23,0.3161870241165161,homicide,21-24 yrs,4,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,5.9713969230651855 +1971,23,0.3161870241165161,other external,21-24 yrs,17,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,25.378437042236328 +1971,23,0.3161870241165161,internal,21-24 yrs,14,66986,22.526960372924805,1,0.6172839403152466,1.2799999713897705,0.4000000059604645,0.9900000095367432,2.6700000762939453,20.89988899230957 +1972,23,0.7181807160377502,MVA,15-17 yrs,28,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,45.82426452636719 +1972,23,0.7181807160377502,suicide,15-17 yrs,10,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,16.365808486938477 +1972,23,0.7181807160377502,homicide,15-17 yrs,0,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,0 +1972,23,0.7181807160377502,other external,15-17 yrs,16,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,26.185293197631836 +1972,23,0.7181807160377502,internal,15-17 yrs,20,61103,15.982946395874023,0,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,32.73161697387695 +1972,23,0.7181807160377502,all,18-20 yrs,80,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,141.97235107421875 +1972,23,0.7181807160377502,MVA,18-20 yrs,50,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,88.73271942138672 +1972,23,0.7181807160377502,suicide,18-20 yrs,6,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,10.647926330566406 +1972,23,0.7181807160377502,homicide,18-20 yrs,0,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,0 +1972,23,0.7181807160377502,other external,18-20 yrs,10,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,17.746543884277344 +1972,23,0.7181807160377502,internal,18-20 yrs,14,56349,18.969919204711914,0.7181807160377502,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,24.84516143798828 +1972,23,0.7181807160377502,all,21-24 yrs,62,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,91.56156921386719 +1972,23,0.7181807160377502,MVA,21-24 yrs,34,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,50.211181640625 +1972,23,0.7181807160377502,suicide,21-24 yrs,4,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,5.907197952270508 +1972,23,0.7181807160377502,homicide,21-24 yrs,6,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,8.860796928405762 +1972,23,0.7181807160377502,other external,21-24 yrs,6,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,8.860796928405762 +1972,23,0.7181807160377502,internal,21-24 yrs,12,67714,22.52367401123047,1,0.5980861186981201,1.309999942779541,0.23999999463558197,0.9900000095367432,2.5399999618530273,17.721593856811523 +1973,23,1,MVA,15-17 yrs,28,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,44.82438278198242 +1973,23,1,suicide,15-17 yrs,4,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,6.4034833908081055 +1973,23,1,homicide,15-17 yrs,3,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,4.802612781524658 +1973,23,1,other external,15-17 yrs,14,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,22.41219139099121 +1973,23,1,internal,15-17 yrs,9,62466,15.979092597961426,0,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,14.407837867736816 +1973,23,1,all,18-20 yrs,79,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,137.0956573486328 +1973,23,1,MVA,18-20 yrs,43,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,74.62168884277344 +1973,23,1,suicide,18-20 yrs,10,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,17.353879928588867 +1973,23,1,homicide,18-20 yrs,3,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,5.2061638832092285 +1973,23,1,other external,18-20 yrs,12,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,20.824655532836914 +1973,23,1,internal,18-20 yrs,11,57624,18.972579956054688,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,19.08926773071289 +1973,23,1,all,21-24 yrs,78,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,114.52567291259766 +1973,23,1,MVA,21-24 yrs,28,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,41.111778259277344 +1973,23,1,suicide,21-24 yrs,11,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,16.15105628967285 +1973,23,1,homicide,21-24 yrs,2,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,2.9365556240081787 +1973,23,1,other external,21-24 yrs,17,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,24.960723876953125 +1973,23,1,internal,21-24 yrs,20,68107,22.523778915405273,1,0.5630630254745483,1.350000023841858,0.23000000417232513,1.0099999904632568,2.5899999141693115,29.365556716918945 +1974,23,1,MVA,15-17 yrs,22,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,34.30799102783203 +1974,23,1,suicide,15-17 yrs,1,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,1.5594542026519775 +1974,23,1,homicide,15-17 yrs,0,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,0 +1974,23,1,other external,15-17 yrs,12,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,18.713449478149414 +1974,23,1,internal,15-17 yrs,21,64125,15.990877151489258,0,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,32.748538970947266 +1974,23,1,all,18-20 yrs,82,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,139.36097717285156 +1974,23,1,MVA,18-20 yrs,42,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,71.38001251220703 +1974,23,1,suicide,18-20 yrs,5,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,8.497620582580566 +1974,23,1,homicide,18-20 yrs,3,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,5.098572254180908 +1974,23,1,other external,18-20 yrs,24,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,40.788578033447266 +1974,23,1,internal,18-20 yrs,8,58840,18.984891891479492,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,13.596193313598633 +1974,23,1,all,21-24 yrs,71,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,104.58556365966797 +1974,23,1,MVA,21-24 yrs,27,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,39.77197265625 +1974,23,1,suicide,21-24 yrs,8,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,11.78428840637207 +1974,23,1,homicide,21-24 yrs,3,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,4.4191083908081055 +1974,23,1,other external,21-24 yrs,15,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,22.09554100036621 +1974,23,1,internal,21-24 yrs,18,67887,22.495853424072266,1,0.5070993900299072,1.399999976158142,0.23999999463558197,1.0499999523162842,2.680000066757202,26.5146484375 +1975,23,1,MVA,15-17 yrs,32,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,49.49576187133789 +1975,23,1,suicide,15-17 yrs,4,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,6.186970233917236 +1975,23,1,homicide,15-17 yrs,0,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,0 +1975,23,1,other external,15-17 yrs,14,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,21.654396057128906 +1975,23,1,internal,15-17 yrs,14,64652,16.000123977661133,0,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,21.654396057128906 +1975,23,1,all,18-20 yrs,76,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,125.9884262084961 +1975,23,1,MVA,18-20 yrs,33,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,54.705501556396484 +1975,23,1,suicide,18-20 yrs,10,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,16.577425003051758 +1975,23,1,homicide,18-20 yrs,3,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,4.973227500915527 +1975,23,1,other external,18-20 yrs,14,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,23.20839500427246 +1975,23,1,internal,18-20 yrs,16,60323,18.975067138671875,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,26.523880004882812 +1975,23,1,all,21-24 yrs,80,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,115.03012084960938 +1975,23,1,MVA,21-24 yrs,36,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,51.76355743408203 +1975,23,1,suicide,21-24 yrs,12,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,17.254518508911133 +1975,23,1,homicide,21-24 yrs,4,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,5.751506328582764 +1975,23,1,other external,21-24 yrs,18,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,25.881778717041016 +1975,23,1,internal,21-24 yrs,10,69547,22.47500228881836,1,0.46468400955200195,1.440000057220459,0.25,1.0399999618530273,2.7200000286102295,14.378765106201172 +1976,23,1,MVA,15-17 yrs,26,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,39.63051986694336 +1976,23,1,suicide,15-17 yrs,2,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,3.04850172996521 +1976,23,1,homicide,15-17 yrs,1,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,1.524250864982605 +1976,23,1,other external,15-17 yrs,6,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,9.14550495147705 +1976,23,1,internal,15-17 yrs,16,65606,15.99362850189209,0,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,24.38801383972168 +1976,23,1,all,18-20 yrs,70,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,112.9269027709961 +1976,23,1,MVA,18-20 yrs,39,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,62.91641616821289 +1976,23,1,suicide,18-20 yrs,5,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,8.0662078857421875 +1976,23,1,homicide,18-20 yrs,1,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,1.61324143409729 +1976,23,1,other external,18-20 yrs,17,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,27.425106048583984 +1976,23,1,internal,18-20 yrs,8,61987,18.970815658569336,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,12.90593147277832 +1976,23,1,all,21-24 yrs,93,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,129.78675842285156 +1976,23,1,MVA,21-24 yrs,34,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,47.44892120361328 +1976,23,1,suicide,21-24 yrs,21,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,29.30668830871582 +1976,23,1,homicide,21-24 yrs,0,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,0 +1976,23,1,other external,21-24 yrs,29,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,40.47113800048828 +1976,23,1,internal,21-24 yrs,9,71656,22.474224090576172,1,0.43936729431152344,1.409999966621399,0.25999999046325684,1.0700000524520874,2.740000009536743,12.560009002685547 +1977,23,0.8646739721298218,MVA,15-17 yrs,18,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,27.262399673461914 +1977,23,0.8646739721298218,suicide,15-17 yrs,4,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,6.058311462402344 +1977,23,0.8646739721298218,homicide,15-17 yrs,3,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,4.543733596801758 +1977,23,0.8646739721298218,other external,15-17 yrs,6,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,9.087467193603516 +1977,23,0.8646739721298218,internal,15-17 yrs,13,66025,15.993804931640625,0,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,19.689512252807617 +1977,23,0.8646739721298218,all,18-20 yrs,83,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,130.4354705810547 +1977,23,0.8646739721298218,MVA,18-20 yrs,53,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,83.29011535644531 +1977,23,0.8646739721298218,suicide,18-20 yrs,11,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,17.28662872314453 +1977,23,0.8646739721298218,homicide,18-20 yrs,2,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,3.1430232524871826 +1977,23,0.8646739721298218,other external,18-20 yrs,7,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,11.000581741333008 +1977,23,0.8646739721298218,internal,18-20 yrs,10,63633,18.983814239501953,0.8646739721298218,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,15.715116500854492 +1977,23,0.8646739721298218,all,21-24 yrs,82,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,111.41909790039062 +1977,23,0.8646739721298218,MVA,21-24 yrs,22,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,29.892929077148438 +1977,23,0.8646739721298218,suicide,21-24 yrs,13,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,17.664003372192383 +1977,23,0.8646739721298218,homicide,21-24 yrs,2,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,2.717539072036743 +1977,23,0.8646739721298218,other external,21-24 yrs,20,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,27.175390243530273 +1977,23,0.8646739721298218,internal,21-24 yrs,25,73596,22.481847763061523,1,0.4125412702560425,1.3700000047683716,0.23000000417232513,1.0399999618530273,2.640000104904175,33.96923828125 +1978,23,0.3268018960952759,MVA,15-17 yrs,20,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,30.144996643066406 +1978,23,0.3268018960952759,suicide,15-17 yrs,4,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,6.028999328613281 +1978,23,0.3268018960952759,homicide,15-17 yrs,1,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,1.5072498321533203 +1978,23,0.3268018960952759,other external,15-17 yrs,11,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,16.579748153686523 +1978,23,0.3268018960952759,internal,15-17 yrs,17,66346,16.002683639526367,0,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,25.623247146606445 +1978,23,0.3268018960952759,all,18-20 yrs,91,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,142.9895782470703 +1978,23,0.3268018960952759,MVA,18-20 yrs,60,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,94.27884674072266 +1978,23,0.3268018960952759,suicide,18-20 yrs,9,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,14.141826629638672 +1978,23,0.3268018960952759,homicide,18-20 yrs,3,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,4.713942050933838 +1978,23,0.3268018960952759,other external,18-20 yrs,5,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,7.856570243835449 +1978,23,0.3268018960952759,internal,18-20 yrs,14,63641,18.991106033325195,0.3268018960952759,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,21.998397827148438 +1978,23,0.3268018960952759,all,21-24 yrs,92,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,122.39901733398438 +1978,23,0.3268018960952759,MVA,21-24 yrs,42,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,55.87781524658203 +1978,23,0.3268018960952759,suicide,21-24 yrs,6,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,7.982544898986816 +1978,23,0.3268018960952759,homicide,21-24 yrs,2,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,2.660848379135132 +1978,23,0.3268018960952759,other external,21-24 yrs,21,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,27.938907623291016 +1978,23,0.3268018960952759,internal,21-24 yrs,21,75164,22.482770919799805,1,0.38343560695648193,1.309999942779541,0.27000001072883606,1.0499999523162842,2.619999885559082,27.938907623291016 +1979,23,0.3257346749305725,MVA,15-17 yrs,30,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,45.765193939208984 +1979,23,0.3257346749305725,suicide,15-17 yrs,6,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,9.15303897857666 +1979,23,0.3257346749305725,homicide,15-17 yrs,2,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,3.0510129928588867 +1979,23,0.3257346749305725,other external,15-17 yrs,13,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,19.831584930419922 +1979,23,0.3257346749305725,internal,15-17 yrs,9,65552,16.007078170776367,0,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,13.729557991027832 +1979,23,0.3257346749305725,all,18-20 yrs,77,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,120.55549621582031 +1979,23,0.3257346749305725,MVA,18-20 yrs,47,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,73.58582305908203 +1979,23,0.3257346749305725,suicide,18-20 yrs,7,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,10.959589958190918 +1979,23,0.3257346749305725,homicide,18-20 yrs,2,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,3.1313116550445557 +1979,23,0.3257346749305725,other external,18-20 yrs,16,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,25.050493240356445 +1979,23,0.3257346749305725,internal,18-20 yrs,5,63871,18.984092712402344,0.3257346749305725,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,7.8282790184021 +1979,23,0.3257346749305725,all,21-24 yrs,84,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,109.84700012207031 +1979,23,0.3257346749305725,MVA,21-24 yrs,40,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,52.3080940246582 +1979,23,0.3257346749305725,suicide,21-24 yrs,11,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,14.384725570678711 +1979,23,0.3257346749305725,homicide,21-24 yrs,4,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,5.230809688568115 +1979,23,0.3257346749305725,other external,21-24 yrs,10,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,13.07702350616455 +1979,23,0.3257346749305725,internal,21-24 yrs,19,76470,22.47722053527832,1,0.3443526327610016,1.2999999523162842,0.27000001072883606,1.0800000429153442,2.6500000953674316,24.846345901489258 +1980,23,0.32457977533340454,MVA,15-17 yrs,29,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,45.29268264770508 +1980,23,0.32457977533340454,suicide,15-17 yrs,4,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,6.24726676940918 +1980,23,0.32457977533340454,homicide,15-17 yrs,3,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,4.685450077056885 +1980,23,0.32457977533340454,other external,15-17 yrs,9,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,14.056350708007812 +1980,23,0.32457977533340454,internal,15-17 yrs,8,64028,16.01772689819336,0,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,12.49453353881836 +1980,23,0.32457977533340454,all,18-20 yrs,96,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,149.9718780517578 +1980,23,0.32457977533340454,MVA,18-20 yrs,54,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,84.35918426513672 +1980,23,0.32457977533340454,suicide,18-20 yrs,9,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,14.059864044189453 +1980,23,0.32457977533340454,homicide,18-20 yrs,4,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,6.248828411102295 +1980,23,0.32457977533340454,other external,18-20 yrs,16,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,24.99531364440918 +1980,23,0.32457977533340454,internal,18-20 yrs,13,64012,18.990751266479492,0.32457977533340454,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,20.308692932128906 +1980,23,0.32457977533340454,all,21-24 yrs,86,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,110.26630401611328 +1980,23,0.32457977533340454,MVA,21-24 yrs,41,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,52.56882095336914 +1980,23,0.32457977533340454,suicide,21-24 yrs,12,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,15.385995864868164 +1980,23,0.32457977533340454,homicide,21-24 yrs,2,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,2.5643327236175537 +1980,23,0.32457977533340454,other external,21-24 yrs,13,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,16.668163299560547 +1980,23,0.32457977533340454,internal,21-24 yrs,18,77993,22.47105598449707,1,0.3033980429172516,1.3200000524520874,0.28999999165534973,1.059999942779541,2.6700000762939453,23.078994750976562 +1981,23,0.33144843578338623,MVA,15-17 yrs,21,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,34.03896713256836 +1981,23,0.33144843578338623,suicide,15-17 yrs,6,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,9.725419044494629 +1981,23,0.33144843578338623,homicide,15-17 yrs,2,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,3.2418062686920166 +1981,23,0.33144843578338623,other external,15-17 yrs,6,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,9.725419044494629 +1981,23,0.33144843578338623,internal,15-17 yrs,4,61694,16.026988983154297,0,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,6.483612537384033 +1981,23,0.33144843578338623,all,18-20 yrs,75,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,115.8748550415039 +1981,23,0.33144843578338623,MVA,18-20 yrs,39,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,60.25492477416992 +1981,23,0.33144843578338623,suicide,18-20 yrs,11,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,16.994977951049805 +1981,23,0.33144843578338623,homicide,18-20 yrs,1,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,1.544998049736023 +1981,23,0.33144843578338623,other external,18-20 yrs,8,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,12.359984397888184 +1981,23,0.33144843578338623,internal,18-20 yrs,16,64725,19.002687454223633,0.33144843578338623,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,24.719968795776367 +1981,23,0.33144843578338623,all,21-24 yrs,91,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,115.59371948242188 +1981,23,0.33144843578338623,MVA,21-24 yrs,40,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,50.8104248046875 +1981,23,0.33144843578338623,suicide,21-24 yrs,9,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,11.43234634399414 +1981,23,0.33144843578338623,homicide,21-24 yrs,4,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,5.081042766571045 +1981,23,0.33144843578338623,other external,21-24 yrs,20,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,25.40521240234375 +1981,23,0.33144843578338623,internal,21-24 yrs,18,78724,22.48027229309082,1,0.33003300428390503,1.2400000095367432,0.2800000011920929,1.0499999523162842,2.569999933242798,22.86469268798828 +1982,23,0.33484622836112976,MVA,15-17 yrs,13,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,21.903959274291992 +1982,23,0.33484622836112976,suicide,15-17 yrs,5,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,8.424599647521973 +1982,23,0.33484622836112976,homicide,15-17 yrs,0,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,0 +1982,23,0.33484622836112976,other external,15-17 yrs,5,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,8.424599647521973 +1982,23,0.33484622836112976,internal,15-17 yrs,10,59350,16.022695541381836,0,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,16.849199295043945 +1982,23,0.33484622836112976,all,18-20 yrs,57,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,89.20885467529297 +1982,23,0.33484622836112976,MVA,18-20 yrs,27,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,42.25682830810547 +1982,23,0.33484622836112976,suicide,18-20 yrs,9,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,14.085609436035156 +1982,23,0.33484622836112976,homicide,18-20 yrs,1,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,1.5650676488876343 +1982,23,0.33484622836112976,other external,18-20 yrs,10,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,15.650676727294922 +1982,23,0.33484622836112976,internal,18-20 yrs,10,63895,19.010360717773438,0.33484622836112976,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,15.650676727294922 +1982,23,0.33484622836112976,all,21-24 yrs,67,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,84.89179229736328 +1982,23,0.33484622836112976,MVA,21-24 yrs,18,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,22.806751251220703 +1982,23,0.33484622836112976,suicide,21-24 yrs,17,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,21.539709091186523 +1982,23,0.33484622836112976,homicide,21-24 yrs,3,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,3.8011250495910645 +1982,23,0.33484622836112976,other external,21-24 yrs,8,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,10.136333465576172 +1982,23,0.33484622836112976,internal,21-24 yrs,21,78924,22.4744815826416,1,0.3108808398246765,1.2999999523162842,0.30000001192092896,1.0199999809265137,2.630000114440918,26.60787582397461 +1983,23,0.33973491191864014,MVA,15-17 yrs,21,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,36.6799430847168 +1983,23,0.33973491191864014,suicide,15-17 yrs,7,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,12.22664737701416 +1983,23,0.33973491191864014,homicide,15-17 yrs,2,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,3.4933278560638428 +1983,23,0.33973491191864014,other external,15-17 yrs,7,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,12.22664737701416 +1983,23,0.33973491191864014,internal,15-17 yrs,5,57252,16.019929885864258,0,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,8.733319282531738 +1983,23,0.33973491191864014,all,18-20 yrs,63,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,100.48968505859375 +1983,23,0.33973491191864014,MVA,18-20 yrs,34,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,54.23252868652344 +1983,23,0.33973491191864014,suicide,18-20 yrs,11,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,17.545818328857422 +1983,23,0.33973491191864014,homicide,18-20 yrs,1,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,1.5950744152069092 +1983,23,0.33973491191864014,other external,18-20 yrs,10,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,15.950743675231934 +1983,23,0.33973491191864014,internal,18-20 yrs,7,62693,19.020401000976562,0.33973491191864014,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,11.165520668029785 +1983,23,0.33973491191864014,all,21-24 yrs,87,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,109.53591918945312 +1983,23,0.33973491191864014,MVA,21-24 yrs,42,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,52.87940979003906 +1983,23,0.33973491191864014,suicide,21-24 yrs,22,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,27.69873809814453 +1983,23,0.33973491191864014,homicide,21-24 yrs,3,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,3.7771008014678955 +1983,23,0.33973491191864014,other external,21-24 yrs,9,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,11.33130168914795 +1983,23,0.33973491191864014,internal,21-24 yrs,11,79426,22.472389221191406,1,0.3012048304080963,1.3200000524520874,0.28999999165534973,1.0299999713897705,2.630000114440918,13.849369049072266 +1984,23,0.34369754791259766,MVA,15-17 yrs,15,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,26.70322036743164 +1984,23,0.34369754791259766,suicide,15-17 yrs,8,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,14.241717338562012 +1984,23,0.34369754791259766,homicide,15-17 yrs,0,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,0 +1984,23,0.34369754791259766,other external,15-17 yrs,4,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,7.120858669281006 +1984,23,0.34369754791259766,internal,15-17 yrs,5,56173,16.015043258666992,0,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,8.901073455810547 +1984,23,0.34369754791259766,all,18-20 yrs,75,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,123.44866180419922 +1984,23,0.34369754791259766,MVA,18-20 yrs,42,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,69.1312484741211 +1984,23,0.34369754791259766,suicide,18-20 yrs,16,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,26.33571434020996 +1984,23,0.34369754791259766,homicide,18-20 yrs,0,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,0 +1984,23,0.34369754791259766,other external,18-20 yrs,10,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,16.459821701049805 +1984,23,0.34369754791259766,internal,18-20 yrs,7,60754,19.028079986572266,0.34369754791259766,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,11.521875381469727 +1984,23,0.34369754791259766,all,21-24 yrs,66,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,82.95208740234375 +1984,23,0.34369754791259766,MVA,21-24 yrs,23,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,28.907546997070312 +1984,23,0.34369754791259766,suicide,21-24 yrs,11,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,13.825347900390625 +1984,23,0.34369754791259766,homicide,21-24 yrs,5,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,6.284249305725098 +1984,23,0.34369754791259766,other external,21-24 yrs,5,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,6.284249305725098 +1984,23,0.34369754791259766,internal,21-24 yrs,22,79564,22.47549057006836,1,0.2887391746044159,1.25,0.3100000023841858,1.0099999904632568,2.569999933242798,27.65069580078125 +1985,23,0.2995818853378296,MVA,15-17 yrs,19,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,34.04834747314453 +1985,23,0.2995818853378296,suicide,15-17 yrs,2,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,3.5840365886688232 +1985,23,0.2995818853378296,homicide,15-17 yrs,1,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,1.7920182943344116 +1985,23,0.2995818853378296,other external,15-17 yrs,4,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,7.1680731773376465 +1985,23,0.2995818853378296,internal,15-17 yrs,5,55803,15.996434211730957,0,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,8.960091590881348 +1985,23,0.2995818853378296,all,18-20 yrs,58,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,99.04878997802734 +1985,23,0.2995818853378296,MVA,18-20 yrs,32,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,54.64760971069336 +1985,23,0.2995818853378296,suicide,18-20 yrs,9,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,15.36963939666748 +1985,23,0.2995818853378296,homicide,18-20 yrs,2,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,3.415475606918335 +1985,23,0.2995818853378296,other external,18-20 yrs,8,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,13.66190242767334 +1985,23,0.2995818853378296,internal,18-20 yrs,7,58557,19.024335861206055,0.2995818853378296,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,11.954164505004883 +1985,23,0.2995818853378296,all,21-24 yrs,76,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,96.03356170654297 +1985,23,0.2995818853378296,MVA,21-24 yrs,23,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,29.062788009643555 +1985,23,0.2995818853378296,suicide,21-24 yrs,20,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,25.271989822387695 +1985,23,0.2995818853378296,homicide,21-24 yrs,5,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,6.317997455596924 +1985,23,0.2995818853378296,other external,21-24 yrs,13,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,16.426794052124023 +1985,23,0.2995818853378296,internal,21-24 yrs,15,79139,22.49463653564453,1,0.27881041169166565,1.2899999618530273,0.33000001311302185,0.9399999976158142,2.559999942779541,18.95399284362793 +1986,23,0.041973989456892014,MVA,15-17 yrs,13,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,23.051280975341797 +1986,23,0.041973989456892014,suicide,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,homicide,15-17 yrs,1,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,1.7731753587722778 +1986,23,0.041973989456892014,other external,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,internal,15-17 yrs,4,56396,15.989874839782715,0,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.092701435089111 +1986,23,0.041973989456892014,all,18-20 yrs,44,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,78.0307846069336 +1986,23,0.041973989456892014,MVA,18-20 yrs,26,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,46.109100341796875 +1986,23,0.041973989456892014,suicide,18-20 yrs,9,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,15.960843086242676 +1986,23,0.041973989456892014,homicide,18-20 yrs,0,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,0 +1986,23,0.041973989456892014,other external,18-20 yrs,4,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,7.093708038330078 +1986,23,0.041973989456892014,internal,18-20 yrs,5,56388,19.020305633544922,0.041973989456892014,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,8.867135047912598 +1986,23,0.041973989456892014,all,21-24 yrs,71,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,91.80955505371094 +1986,23,0.041973989456892014,MVA,21-24 yrs,38,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,49.137508392333984 +1986,23,0.041973989456892014,suicide,21-24 yrs,7,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,9.05164623260498 +1986,23,0.041973989456892014,homicide,21-24 yrs,2,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,2.586184501647949 +1986,23,0.041973989456892014,other external,21-24 yrs,8,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,10.344738006591797 +1986,23,0.041973989456892014,internal,21-24 yrs,16,77334,22.510150909423828,1,0.31934306025505066,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.559999942779541,20.689476013183594 +1987,23,0,MVA,15-17 yrs,12,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,21.386943817138672 +1987,23,0,suicide,15-17 yrs,3,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,5.346735954284668 +1987,23,0,homicide,15-17 yrs,1,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,1.7822452783584595 +1987,23,0,other external,15-17 yrs,6,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,10.693471908569336 +1987,23,0,internal,15-17 yrs,7,56109,16.020566940307617,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.475716590881348 +1987,23,0,all,18-20 yrs,60,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,108.11589813232422 +1987,23,0,MVA,18-20 yrs,35,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,63.06760787963867 +1987,23,0,suicide,18-20 yrs,10,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,18.019317626953125 +1987,23,0,homicide,18-20 yrs,1,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,1.801931619644165 +1987,23,0,other external,18-20 yrs,7,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.613521575927734 +1987,23,0,internal,18-20 yrs,7,55496,19.01297378540039,0,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,12.613521575927734 +1987,23,0,all,21-24 yrs,64,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,85.33788299560547 +1987,23,0,MVA,21-24 yrs,26,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,34.668514251708984 +1987,23,0,suicide,21-24 yrs,11,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,14.667448997497559 +1987,23,0,homicide,21-24 yrs,6,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,8.000426292419434 +1987,23,0,other external,21-24 yrs,10,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,13.334044456481934 +1987,23,0,internal,21-24 yrs,11,74996,22.523855209350586,1,0.30809858441352844,1.2599999904632568,0.3799999952316284,0.9100000262260437,2.549999952316284,14.667448997497559 +1988,23,0,MVA,15-17 yrs,22,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,40.38253402709961 +1988,23,0,suicide,15-17 yrs,4,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,7.342278480529785 +1988,23,0,homicide,15-17 yrs,0,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,0 +1988,23,0,other external,15-17 yrs,6,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,11.013418197631836 +1988,23,0,internal,15-17 yrs,9,54479,16.051708221435547,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,16.520126342773438 +1988,23,0,all,18-20 yrs,61,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,109.23481750488281 +1988,23,0,MVA,18-20 yrs,29,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,51.93130874633789 +1988,23,0,suicide,18-20 yrs,12,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,21.48881721496582 +1988,23,0,homicide,18-20 yrs,0,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,0 +1988,23,0,other external,18-20 yrs,9,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,16.116613388061523 +1988,23,0,internal,18-20 yrs,11,55843,18.994287490844727,0,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,19.698081970214844 +1988,23,0,all,21-24 yrs,69,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,94.7515869140625 +1988,23,0,MVA,21-24 yrs,30,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,41.19634246826172 +1988,23,0,suicide,21-24 yrs,16,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,21.97138214111328 +1988,23,0,homicide,21-24 yrs,4,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,5.49284553527832 +1988,23,0,other external,21-24 yrs,9,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,12.358902931213379 +1988,23,0,internal,21-24 yrs,10,72822,22.523344039916992,1,0.2958579659461975,1.2799999713897705,0.36000001430511475,0.9100000262260437,2.5399999618530273,13.7321138381958 +1989,23,0,MVA,15-17 yrs,10,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,19.26485252380371 +1989,23,0,suicide,15-17 yrs,9,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,17.338367462158203 +1989,23,0,homicide,15-17 yrs,2,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,3.852970600128174 +1989,23,0,other external,15-17 yrs,4,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,7.705941200256348 +1989,23,0,internal,15-17 yrs,8,51908,16.039203643798828,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,15.411882400512695 +1989,23,0,all,18-20 yrs,51,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,89.807708740234375 +1989,23,0,MVA,18-20 yrs,20,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,35.21870803833008 +1989,23,0,suicide,18-20 yrs,7,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,12.326547622680664 +1989,23,0,homicide,18-20 yrs,1,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,1.7609354257583618 +1989,23,0,other external,18-20 yrs,7,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,12.326547622680664 +1989,23,0,internal,18-20 yrs,16,56788,18.987531661987305,0,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,28.17496681213379 +1989,23,0,all,21-24 yrs,75,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,107.25164031982422 +1989,23,0,MVA,21-24 yrs,27,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,38.610591888427734 +1989,23,0,suicide,21-24 yrs,21,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,30.030460357666016 +1989,23,0,homicide,21-24 yrs,1,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,1.43002188205719 +1989,23,0,other external,21-24 yrs,11,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,15.730240821838379 +1989,23,0,internal,21-24 yrs,15,69929,22.517826080322266,1,0.2822580635547638,1.25,0.3400000035762787,0.8500000238418579,2.440000057220459,21.450328826904297 +1990,23,0,MVA,15-17 yrs,18,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,36.014404296875 +1990,23,0,suicide,15-17 yrs,5,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,10.00400161743164 +1990,23,0,homicide,15-17 yrs,1,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,2.000800371170044 +1990,23,0,other external,15-17 yrs,6,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,12.004801750183105 +1990,23,0,internal,15-17 yrs,5,49980,16.021909713745117,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,10.00400161743164 +1990,23,0,all,18-20 yrs,39,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,68.59193420410156 +1990,23,0,MVA,18-20 yrs,19,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,33.41658020019531 +1990,23,0,suicide,18-20 yrs,8,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,14.07013988494873 +1990,23,0,homicide,18-20 yrs,3,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,5.276302337646484 +1990,23,0,other external,18-20 yrs,4,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,7.035069942474365 +1990,23,0,internal,18-20 yrs,5,56858,19.017324447631836,0,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,8.793837547302246 +1990,23,0,all,21-24 yrs,56,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,82.654388427734375 +1990,23,0,MVA,21-24 yrs,19,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,28.043453216552734 +1990,23,0,suicide,21-24 yrs,14,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,20.663597106933594 +1990,23,0,homicide,21-24 yrs,3,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,4.427913665771484 +1990,23,0,other external,21-24 yrs,6,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,8.855827331542969 +1990,23,0,internal,21-24 yrs,14,67752,22.496442794799805,1,0.267788827419281,1.2100000381469727,0.3100000023841858,0.8199999928474426,2.3399999141693115,20.663597106933594 +1991,23,0,MVA,15-17 yrs,18,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,36.419551849365234 +1991,23,0,suicide,15-17 yrs,2,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,4.046617031097412 +1991,23,0,homicide,15-17 yrs,1,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,2.023308515548706 +1991,23,0,other external,15-17 yrs,3,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,6.069925308227539 +1991,23,0,internal,15-17 yrs,4,49424,16.01234245300293,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.093234062194824 +1991,23,0,all,18-20 yrs,58,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,105.51593780517578 +1991,23,0,MVA,18-20 yrs,27,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,49.11948776245117 +1991,23,0,suicide,18-20 yrs,13,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,23.650123596191406 +1991,23,0,homicide,18-20 yrs,1,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,1.8192403316497803 +1991,23,0,other external,18-20 yrs,7,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,12.734682083129883 +1991,23,0,internal,18-20 yrs,10,54968,19.043134689331055,0,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,18.19240379333496 +1991,23,0,all,21-24 yrs,54,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,79.78958892822266 +1991,23,0,MVA,21-24 yrs,25,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,36.93962478637695 +1991,23,0,suicide,21-24 yrs,15,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,22.163776397705078 +1991,23,0,homicide,21-24 yrs,2,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,2.955170154571533 +1991,23,0,other external,21-24 yrs,6,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.865509986877441 +1991,23,0,internal,21-24 yrs,6,67678,22.456707000732422,1,0.2569750249385834,1.1799999475479126,0.30000001192092896,0.7699999809265137,2.25,8.865509986877441 +1992,23,0,MVA,15-17 yrs,21,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,42.18646240234375 +1992,23,0,suicide,15-17 yrs,6,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,12.053275108337402 +1992,23,0,homicide,15-17 yrs,0,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,0 +1992,23,0,other external,15-17 yrs,3,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,6.026637554168701 +1992,23,0,internal,15-17 yrs,4,49779,16.002269744873047,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,8.035516738891602 +1992,23,0,all,18-20 yrs,34,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,65.47401428222656 +1992,23,0,MVA,18-20 yrs,16,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,30.81130027770996 +1992,23,0,suicide,18-20 yrs,7,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,13.479944229125977 +1992,23,0,homicide,18-20 yrs,1,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,1.9257062673568726 +1992,23,0,other external,18-20 yrs,3,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,5.777118682861328 +1992,23,0,internal,18-20 yrs,7,51929,19.037166595458984,0,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,13.479944229125977 +1992,23,0,all,21-24 yrs,62,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,91.114837646484375 +1992,23,0,MVA,21-24 yrs,17,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,24.98309898376465 +1992,23,0,suicide,21-24 yrs,11,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,16.16553497314453 +1992,23,0,homicide,21-24 yrs,2,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,2.939188241958618 +1992,23,0,other external,21-24 yrs,11,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,16.16553497314453 +1992,23,0,internal,21-24 yrs,21,68046,22.437969207763672,1,0.24946542084217072,1.159999966621399,0.28999999165534973,0.7799999713897705,2.2300000190734863,30.86147689819336 +1993,23,0,MVA,15-17 yrs,16,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,31.71142578125 +1993,23,0,suicide,15-17 yrs,6,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,11.89178466796875 +1993,23,0,homicide,15-17 yrs,0,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,0 +1993,23,0,other external,15-17 yrs,5,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,9.909820556640625 +1993,23,0,internal,15-17 yrs,1,50455,15.989951133728027,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.981964111328125 +1993,23,0,all,18-20 yrs,50,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,99.61548614501953 +1993,23,0,MVA,18-20 yrs,28,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,55.784671783447266 +1993,23,0,suicide,18-20 yrs,4,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,7.969238758087158 +1993,23,0,homicide,18-20 yrs,1,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.9923096895217896 +1993,23,0,other external,18-20 yrs,9,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.930788040161133 +1993,23,0,internal,18-20 yrs,8,50193,19.014883041381836,0,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,15.938477516174316 +1993,23,0,all,21-24 yrs,58,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,84.9891586303711 +1993,23,0,MVA,21-24 yrs,12,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.58396339416504 +1993,23,0,suicide,21-24 yrs,16,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,23.445283889770508 +1993,23,0,homicide,21-24 yrs,1,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,1.4653302431106567 +1993,23,0,other external,21-24 yrs,12,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,17.58396339416504 +1993,23,0,internal,21-24 yrs,17,68244,22.46782112121582,1,0.24221453070640564,1.149999976158142,0.28999999165534973,0.7900000214576721,2.2200000286102295,24.910614013671875 +1994,23,0,MVA,15-17 yrs,15,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,28.930721282958984 +1994,23,0,suicide,15-17 yrs,6,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,11.572288513183594 +1994,23,0,homicide,15-17 yrs,1,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,1.9287147521972656 +1994,23,0,other external,15-17 yrs,5,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,9.643573760986328 +1994,23,0,internal,15-17 yrs,6,51848,15.989662170410156,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,11.572288513183594 +1994,23,0,all,18-20 yrs,37,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,75.65379333496094 +1994,23,0,MVA,18-20 yrs,19,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,38.8492431640625 +1994,23,0,suicide,18-20 yrs,5,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,10.223484992980957 +1994,23,0,homicide,18-20 yrs,0,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,0 +1994,23,0,other external,18-20 yrs,3,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,6.134091377258301 +1994,23,0,internal,18-20 yrs,10,48907,19.005172729492188,0,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,20.446969985961914 +1994,23,0,all,21-24 yrs,40,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,60.172996520996094 +1994,23,0,MVA,21-24 yrs,13,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,19.556224822998047 +1994,23,0,suicide,21-24 yrs,14,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,21.060548782348633 +1994,23,0,homicide,21-24 yrs,1,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,1.5043249130249023 +1994,23,0,other external,21-24 yrs,3,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,4.512974739074707 +1994,23,0,internal,21-24 yrs,9,66475,22.51820945739746,1,0.23616734147071838,1.1299999952316284,0.27000001072883606,0.7699999809265137,2.1700000762939453,13.538924217224121 +1995,23,0,MVA,15-17 yrs,6,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,11.341511726379395 +1995,23,0,suicide,15-17 yrs,4,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,7.561007976531982 +1995,23,0,homicide,15-17 yrs,0,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,0 +1995,23,0,other external,15-17 yrs,3,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,5.670755863189697 +1995,23,0,internal,15-17 yrs,10,52903,15.987410545349121,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,18.90251922607422 +1995,23,0,all,18-20 yrs,32,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,65.314117431640625 +1995,23,0,MVA,18-20 yrs,17,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,34.69812774658203 +1995,23,0,suicide,18-20 yrs,4,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,8.164264678955078 +1995,23,0,homicide,18-20 yrs,1,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,2.0410661697387695 +1995,23,0,other external,18-20 yrs,6,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,12.246397972106934 +1995,23,0,internal,18-20 yrs,4,48994,18.995346069335938,0,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,8.164264678955078 +1995,23,0,all,21-24 yrs,49,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,76.71833038330078 +1995,23,0,MVA,21-24 yrs,23,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,36.01064682006836 +1995,23,0,suicide,21-24 yrs,9,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,14.0911226272583 +1995,23,0,homicide,21-24 yrs,2,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,3.1313605308532715 +1995,23,0,other external,21-24 yrs,6,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,9.394082069396973 +1995,23,0,internal,21-24 yrs,9,63870,22.53900146484375,1,0.2296587973833084,1.1699999570846558,0.28999999165534973,0.7200000286102295,2.190000057220459,14.0911226272583 +1996,23,0,MVA,15-17 yrs,16,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,29.829042434692383 +1996,23,0,suicide,15-17 yrs,3,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,5.592945575714111 +1996,23,0,homicide,15-17 yrs,0,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,0 +1996,23,0,other external,15-17 yrs,1,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,1.864315152168274 +1996,23,0,internal,15-17 yrs,5,53639,15.998191833496094,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,9.321576118469238 +1996,23,0,all,18-20 yrs,35,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,70.65140533447266 +1996,23,0,MVA,18-20 yrs,16,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,32.297786712646484 +1996,23,0,suicide,18-20 yrs,3,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,6.055834770202637 +1996,23,0,homicide,18-20 yrs,1,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,2.0186116695404053 +1996,23,0,other external,18-20 yrs,8,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,16.148893356323242 +1996,23,0,internal,18-20 yrs,7,49539,18.984880447387695,0,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,14.130281448364258 +1996,23,0,all,21-24 yrs,40,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,65.129608154296875 +1996,23,0,MVA,21-24 yrs,14,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,22.79536247253418 +1996,23,0,suicide,21-24 yrs,6,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,9.769441604614258 +1996,23,0,homicide,21-24 yrs,5,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,8.14120101928711 +1996,23,0,other external,21-24 yrs,1,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,1.6282402276992798 +1996,23,0,internal,21-24 yrs,14,61416,22.515777587890625,1,0.22307202219963074,1.1699999570846558,0.33000001311302185,0.7099999785423279,2.2200000286102295,22.79536247253418 +1970,24,0,MVA,15-17 yrs,47,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.07774543762207 +1970,24,0,suicide,15-17 yrs,2,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,0.8969253301620483 +1970,24,0,homicide,15-17 yrs,17,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,7.623865604400635 +1970,24,0,other external,15-17 yrs,40,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,17.938507080078125 +1970,24,0,internal,15-17 yrs,65,222984,15.974495887756348,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,29.150074005126953 +1970,24,0,all,18-20 yrs,258,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,130.1682586669922 +1970,24,0,MVA,18-20 yrs,76,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,38.344139099121094 +1970,24,0,suicide,18-20 yrs,18,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,9.081506729125977 +1970,24,0,homicide,18-20 yrs,30,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,15.135844230651855 +1970,24,0,other external,18-20 yrs,43,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.69470977783203 +1970,24,0,internal,18-20 yrs,91,198205,18.98193359375,0,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,45.91205978393555 +1970,24,0,all,21-24 yrs,376,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,144.0966339111328 +1970,24,0,MVA,21-24 yrs,90,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,34.491214752197266 +1970,24,0,suicide,21-24 yrs,31,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,11.880308151245117 +1970,24,0,homicide,21-24 yrs,56,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.461200714111328 +1970,24,0,other external,21-24 yrs,56,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,21.461200714111328 +1970,24,0,internal,21-24 yrs,143,260936,22.45195770263672,1,0.07731958478689194,1.309999942779541,0.25,1.3899999856948853,2.950000047683716,54.802711486816406 +1971,24,0,MVA,15-17 yrs,49,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,21.015972137451172 +1971,24,0,suicide,15-17 yrs,12,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,5.146768569946289 +1971,24,0,homicide,15-17 yrs,24,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,10.293537139892578 +1971,24,0,other external,15-17 yrs,55,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,23.589357376098633 +1971,24,0,internal,15-17 yrs,88,233156,15.983993530273438,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,37.74296951293945 +1971,24,0,all,18-20 yrs,291,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,135.54112243652344 +1971,24,0,MVA,18-20 yrs,78,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,36.33060836791992 +1971,24,0,suicide,18-20 yrs,23,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,10.712871551513672 +1971,24,0,homicide,18-20 yrs,44,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,20.494190216064453 +1971,24,0,other external,18-20 yrs,43,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,20.028411865234375 +1971,24,0,internal,18-20 yrs,103,214695,18.98020362854004,0,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,47.975032806396484 +1971,24,0,all,21-24 yrs,406,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,148.8046112060547 +1971,24,0,MVA,21-24 yrs,103,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,37.75092315673828 +1971,24,0,suicide,21-24 yrs,26,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,9.529359817504883 +1971,24,0,homicide,21-24 yrs,68,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,24.922941207885742 +1971,24,0,other external,21-24 yrs,59,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,21.62431526184082 +1971,24,0,internal,21-24 yrs,150,272841,22.578502655029297,1,0.07407407462596893,1.2799999713897705,0.2800000011920929,1.440000057220459,3,54.977073669433594 +1972,24,0,MVA,15-17 yrs,70,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,28.945714950561523 +1972,24,0,suicide,15-17 yrs,14,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,5.789143085479736 +1972,24,0,homicide,15-17 yrs,10,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,4.135102272033691 +1972,24,0,other external,15-17 yrs,46,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,19.021469116210938 +1972,24,0,internal,15-17 yrs,92,241832,15.977653503417969,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,38.042938232421875 +1972,24,0,all,18-20 yrs,286,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,127.37548828125 +1972,24,0,MVA,18-20 yrs,76,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,33.84803009033203 +1972,24,0,suicide,18-20 yrs,6,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,2.672213077545166 +1972,24,0,homicide,18-20 yrs,50,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,22.268442153930664 +1972,24,0,other external,18-20 yrs,60,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,26.722129821777344 +1972,24,0,internal,18-20 yrs,94,224533,18.984567642211914,0,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,41.86466979980469 +1972,24,0,all,21-24 yrs,466,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,176.59877014160156 +1972,24,0,MVA,21-24 yrs,136,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,51.539554595947266 +1972,24,0,suicide,21-24 yrs,54,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,20.464235305786133 +1972,24,0,homicide,21-24 yrs,84,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,31.833253860473633 +1972,24,0,other external,21-24 yrs,52,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,19.706300735473633 +1972,24,0,internal,21-24 yrs,140,263875,22.506515502929688,1,0.21531102061271667,1.25,0.30000001192092896,1.399999976158142,2.950000047683716,53.055423736572266 +1973,24,0,MVA,15-17 yrs,76,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,30.68562126159668 +1973,24,0,suicide,15-17 yrs,7,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,2.8263072967529297 +1973,24,0,homicide,15-17 yrs,18,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,7.2676472663879395 +1973,24,0,other external,15-17 yrs,56,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,22.610458374023438 +1973,24,0,internal,15-17 yrs,67,247673,15.977797508239746,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,27.05179786682129 +1973,24,0,all,18-20 yrs,306,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,131.38967895507812 +1973,24,0,MVA,18-20 yrs,99,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,42.508426666259766 +1973,24,0,suicide,18-20 yrs,28,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,12.022584915161133 +1973,24,0,homicide,18-20 yrs,43,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,18.4632568359375 +1973,24,0,other external,18-20 yrs,55,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,23.615793228149414 +1973,24,0,internal,18-20 yrs,81,232895,18.99537467956543,0,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,34.77962112426758 +1973,24,0,all,21-24 yrs,371,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,139.24700927734375 +1973,24,0,MVA,21-24 yrs,88,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,33.0289421081543 +1973,24,0,suicide,21-24 yrs,43,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,16.139141082763672 +1973,24,0,homicide,21-24 yrs,65,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,24.396377563476562 +1973,24,0,other external,21-24 yrs,51,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,19.141773223876953 +1973,24,0,internal,21-24 yrs,124,266433,22.458208084106445,1,0.20270270109176636,1.2899999618530273,0.30000001192092896,1.4199999570846558,3.0199999809265137,46.5407829284668 +1974,24,0.5041095614433289,MVA,15-17 yrs,71,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,28.087331771850586 +1974,24,0.5041095614433289,suicide,15-17 yrs,15,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,5.933943271636963 +1974,24,0.5041095614433289,homicide,15-17 yrs,20,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,7.911924362182617 +1974,24,0.5041095614433289,other external,15-17 yrs,47,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,18.5930233001709 +1974,24,0.5041095614433289,internal,15-17 yrs,66,252783,15.99446964263916,0,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,26.109350204467773 +1974,24,0.5041095614433289,all,18-20 yrs,330,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,139.3416290283203 +1974,24,0.5041095614433289,MVA,18-20 yrs,126,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,53.20316696166992 +1974,24,0.5041095614433289,suicide,18-20 yrs,29,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,12.245173454284668 +1974,24,0.5041095614433289,homicide,18-20 yrs,43,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,18.15663719177246 +1974,24,0.5041095614433289,other external,18-20 yrs,41,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,17.31214141845703 +1974,24,0.5041095614433289,internal,18-20 yrs,91,236828,19.000823974609375,0.5041095614433289,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,38.42451095581055 +1974,24,0.5041095614433289,all,21-24 yrs,394,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,142.97586059570312 +1974,24,0.5041095614433289,MVA,21-24 yrs,83,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,30.119279861450195 +1974,24,0.5041095614433289,suicide,21-24 yrs,47,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,17.055496215820312 +1974,24,0.5041095614433289,homicide,21-24 yrs,71,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,25.764684677124023 +1974,24,0.5041095614433289,other external,21-24 yrs,60,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,21.772974014282227 +1974,24,0.5041095614433289,internal,21-24 yrs,133,275571,22.433622360229492,1,0.18255579471588135,1.340000033378601,0.3199999928474426,1.4500000476837158,3.0999999046325684,48.263423919677734 +1975,24,1,MVA,15-17 yrs,70,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,27.647876739501953 +1975,24,1,suicide,15-17 yrs,11,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,4.344666481018066 +1975,24,1,homicide,15-17 yrs,38,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,15.0088472366333 +1975,24,1,other external,15-17 yrs,43,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,16.98369598388672 +1975,24,1,internal,15-17 yrs,66,253184,16.001752853393555,0,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,26.0679988861084 +1975,24,1,all,18-20 yrs,268,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,111.10650634765625 +1975,24,1,MVA,18-20 yrs,93,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,38.55561447143555 +1975,24,1,suicide,18-20 yrs,19,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,7.876953601837158 +1975,24,1,homicide,18-20 yrs,42,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,17.412214279174805 +1975,24,1,other external,18-20 yrs,52,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,21.5579776763916 +1975,24,1,internal,18-20 yrs,62,241210,18.993379592895508,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,25.70374298095703 +1975,24,1,all,21-24 yrs,380,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,132.21116638183594 +1975,24,1,MVA,21-24 yrs,103,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,35.836181640625 +1975,24,1,suicide,21-24 yrs,43,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,14.960737228393555 +1975,24,1,homicide,21-24 yrs,71,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,24.702611923217773 +1975,24,1,other external,21-24 yrs,67,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,23.310914993286133 +1975,24,1,internal,21-24 yrs,96,287419,22.4462890625,1,0.1672862470149994,1.350000023841858,0.33000001311302185,1.4600000381469727,3.140000104904175,33.40071487426758 +1976,24,1,MVA,15-17 yrs,60,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,23.66695785522461 +1976,24,1,suicide,15-17 yrs,17,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,6.705638408660889 +1976,24,1,homicide,15-17 yrs,11,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,4.338942527770996 +1976,24,1,other external,15-17 yrs,32,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,12.6223783493042 +1976,24,1,internal,15-17 yrs,63,253518,15.994729995727539,0,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,24.850305557250977 +1976,24,1,all,18-20 yrs,276,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,112.83682250976562 +1976,24,1,MVA,18-20 yrs,104,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,42.51822280883789 +1976,24,1,suicide,18-20 yrs,37,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,15.126675605773926 +1976,24,1,homicide,18-20 yrs,17,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,6.950094223022461 +1976,24,1,other external,18-20 yrs,45,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,18.397308349609375 +1976,24,1,internal,18-20 yrs,73,244601,18.992849349975586,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,29.84452247619629 +1976,24,1,all,21-24 yrs,341,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,114.82486724853516 +1976,24,1,MVA,21-24 yrs,97,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,32.66279220581055 +1976,24,1,suicide,21-24 yrs,36,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,12.122273445129395 +1976,24,1,homicide,21-24 yrs,66,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,22.224166870117188 +1976,24,1,other external,21-24 yrs,59,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,19.8670597076416 +1976,24,1,internal,21-24 yrs,83,296974,22.461463928222656,1,0.15817223489284515,1.340000033378601,0.33000001311302185,1.4500000476837158,3.119999885559082,27.94857406616211 +1977,24,1,MVA,15-17 yrs,76,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,30.082212448120117 +1977,24,1,suicide,15-17 yrs,14,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,5.541460037231445 +1977,24,1,homicide,15-17 yrs,12,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,4.749823093414307 +1977,24,1,other external,15-17 yrs,31,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,12.270376205444336 +1977,24,1,internal,15-17 yrs,44,252641,15.997450828552246,0,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.416017532348633 +1977,24,1,all,18-20 yrs,276,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,112.15135192871094 +1977,24,1,MVA,18-20 yrs,93,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,37.790130615234375 +1977,24,1,suicide,18-20 yrs,47,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,19.098237991333008 +1977,24,1,homicide,18-20 yrs,25,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,10.158637046813965 +1977,24,1,other external,18-20 yrs,43,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.472856521606445 +1977,24,1,internal,18-20 yrs,68,246096,19.008167266845703,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,27.631492614746094 +1977,24,1,all,21-24 yrs,373,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,122.9858169555664 +1977,24,1,MVA,21-24 yrs,104,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,34.290950775146484 +1977,24,1,suicide,21-24 yrs,52,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,17.145475387573242 +1977,24,1,homicide,21-24 yrs,49,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,16.156314849853516 +1977,24,1,other external,21-24 yrs,64,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,21.10212516784668 +1977,24,1,internal,21-24 yrs,104,303287,22.4813232421875,1,0.14851486682891846,1.3700000047683716,0.30000001192092896,1.3899999856948853,3.049999952316284,34.290950775146484 +1978,24,1,MVA,15-17 yrs,80,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,31.883434295654297 +1978,24,1,suicide,15-17 yrs,15,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,5.978143692016602 +1978,24,1,homicide,15-17 yrs,13,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,5.181057929992676 +1978,24,1,other external,15-17 yrs,23,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,9.166487693786621 +1978,24,1,internal,15-17 yrs,38,250914,16.009254455566406,0,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,15.144631385803223 +1978,24,1,all,18-20 yrs,285,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,117.08783721923828 +1978,24,1,MVA,18-20 yrs,112,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,46.013465881347656 +1978,24,1,suicide,18-20 yrs,27,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,11.09253215789795 +1978,24,1,homicide,18-20 yrs,37,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,15.20087718963623 +1978,24,1,other external,18-20 yrs,41,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,16.844215393066406 +1978,24,1,internal,18-20 yrs,68,243407,19.014768600463867,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,27.936748504638672 +1978,24,1,all,21-24 yrs,376,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,121.86031341552734 +1978,24,1,MVA,21-24 yrs,116,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,37.5952033996582 +1978,24,1,suicide,21-24 yrs,63,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,20.4180850982666 +1978,24,1,homicide,21-24 yrs,41,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,13.287960052490234 +1978,24,1,other external,21-24 yrs,58,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,18.7976016998291 +1978,24,1,internal,21-24 yrs,98,308550,22.479265213012695,1,0.1380368173122406,1.409999966621399,0.3100000023841858,1.3799999952316284,3.0899999141693115,31.761465072631836 +1979,24,1,MVA,15-17 yrs,56,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,22.62717628479004 +1979,24,1,suicide,15-17 yrs,16,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,6.464907646179199 +1979,24,1,homicide,15-17 yrs,15,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,6.060851097106934 +1979,24,1,other external,15-17 yrs,21,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,8.485191345214844 +1979,24,1,internal,15-17 yrs,39,247490,16.00149917602539,0,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,15.758212089538574 +1979,24,1,all,18-20 yrs,243,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,100.8089599609375 +1979,24,1,MVA,18-20 yrs,98,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,40.65546417236328 +1979,24,1,suicide,18-20 yrs,23,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,9.54158878326416 +1979,24,1,homicide,18-20 yrs,36,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,14.934660911560059 +1979,24,1,other external,18-20 yrs,24,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,9.956440925598145 +1979,24,1,internal,18-20 yrs,62,241050,19.007173538208008,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,25.72080421447754 +1979,24,1,all,21-24 yrs,379,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,121.46073150634766 +1979,24,1,MVA,21-24 yrs,109,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,34.93198013305664 +1979,24,1,suicide,21-24 yrs,57,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,18.267181396484375 +1979,24,1,homicide,21-24 yrs,51,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,16.34432029724121 +1979,24,1,other external,21-24 yrs,60,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,19.228612899780273 +1979,24,1,internal,21-24 yrs,102,312035,22.480361938476562,1,0.12396694719791412,1.4299999475479126,0.3100000023841858,1.3899999856948853,3.140000104904175,32.68864059448242 +1980,24,1,MVA,15-17 yrs,73,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,29.811006546020508 +1980,24,1,suicide,15-17 yrs,14,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,5.717179298400879 +1980,24,1,homicide,15-17 yrs,21,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,8.575769424438477 +1980,24,1,other external,15-17 yrs,25,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,10.209248542785645 +1980,24,1,internal,15-17 yrs,47,244876,16.00875473022461,0,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,19.193387985229492 +1980,24,1,all,18-20 yrs,281,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,116.9985122680664 +1980,24,1,MVA,18-20 yrs,111,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,46.21649169921875 +1980,24,1,suicide,18-20 yrs,22,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,9.160025596618652 +1980,24,1,homicide,18-20 yrs,41,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,17.07095718383789 +1980,24,1,other external,18-20 yrs,35,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,14.572768211364746 +1980,24,1,internal,18-20 yrs,72,240174,19.001998901367188,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,29.9782657623291 +1980,24,1,all,21-24 yrs,405,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,129.4318389892578 +1980,24,1,MVA,21-24 yrs,124,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,39.62851333618164 +1980,24,1,suicide,21-24 yrs,49,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,15.65965461730957 +1980,24,1,homicide,21-24 yrs,61,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,19.494672775268555 +1980,24,1,other external,21-24 yrs,41,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,13.10297679901123 +1980,24,1,internal,21-24 yrs,130,312906,22.49138069152832,1,0.10922330617904663,1.4199999570846558,0.33000001311302185,1.350000023841858,3.0899999141693115,41.546024322509766 +1981,24,1,MVA,15-17 yrs,59,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,24.752683639526367 +1981,24,1,suicide,15-17 yrs,9,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,3.7758328914642334 +1981,24,1,homicide,15-17 yrs,15,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,6.293055057525635 +1981,24,1,other external,15-17 yrs,24,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,10.068887710571289 +1981,24,1,internal,15-17 yrs,43,238358,16.031217575073242,0,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,18.040090560913086 +1981,24,1,all,18-20 yrs,284,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,117.0226821899414 +1981,24,1,MVA,18-20 yrs,110,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,45.325687408447266 +1981,24,1,suicide,18-20 yrs,23,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,9.477189064025879 +1981,24,1,homicide,18-20 yrs,45,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,18.542325973510742 +1981,24,1,other external,18-20 yrs,35,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,14.421809196472168 +1981,24,1,internal,18-20 yrs,71,242688,18.99752426147461,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,29.25567054748535 +1981,24,1,all,21-24 yrs,401,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,128.1694793701172 +1981,24,1,MVA,21-24 yrs,122,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,38.994205474853516 +1981,24,1,suicide,21-24 yrs,49,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,15.661606788635254 +1981,24,1,homicide,21-24 yrs,65,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,20.77560043334961 +1981,24,1,other external,21-24 yrs,43,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,13.74385929107666 +1981,24,1,internal,21-24 yrs,122,312867,22.51283073425293,1,0.09900990128517151,1.3899999856948853,0.3400000035762787,1.3300000429153442,3.059999942779541,38.994205474853516 +1982,24,0.9578590393066406,MVA,15-17 yrs,61,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,26.808591842651367 +1982,24,0.9578590393066406,suicide,15-17 yrs,16,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,7.031761646270752 +1982,24,0.9578590393066406,homicide,15-17 yrs,15,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,6.592276573181152 +1982,24,0.9578590393066406,other external,15-17 yrs,16,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,7.031761646270752 +1982,24,0.9578590393066406,internal,15-17 yrs,45,227539,16.032148361206055,0,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,19.77682876586914 +1982,24,0.9578590393066406,all,18-20 yrs,252,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,103.27361297607422 +1982,24,0.9578590393066406,MVA,18-20 yrs,94,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,38.52269744873047 +1982,24,0.9578590393066406,suicide,18-20 yrs,24,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,9.83558177947998 +1982,24,0.9578590393066406,homicide,18-20 yrs,46,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,18.851531982421875 +1982,24,0.9578590393066406,other external,18-20 yrs,33,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,13.523924827575684 +1982,24,0.9578590393066406,internal,18-20 yrs,55,244012,18.999147415161133,0.9578590393066406,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,22.539875030517578 +1982,24,0.9578590393066406,all,21-24 yrs,381,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,122.77569580078125 +1982,24,0.9578590393066406,MVA,21-24 yrs,100,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,32.22459411621094 +1982,24,0.9578590393066406,suicide,21-24 yrs,55,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,17.723526000976562 +1982,24,0.9578590393066406,homicide,21-24 yrs,66,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,21.268230438232422 +1982,24,0.9578590393066406,other external,21-24 yrs,51,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,16.434541702270508 +1982,24,0.9578590393066406,internal,21-24 yrs,109,310322,22.510446548461914,1,0.09326425194740295,1.2699999809265137,0.3199999928474426,1.1699999570846558,2.7699999809265137,35.12480545043945 +1983,24,0.6779505610466003,MVA,15-17 yrs,45,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,20.683759689331055 +1983,24,0.6779505610466003,suicide,15-17 yrs,15,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,6.894586563110352 +1983,24,0.6779505610466003,homicide,15-17 yrs,17,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,7.813864707946777 +1983,24,0.6779505610466003,other external,15-17 yrs,9,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,4.136751651763916 +1983,24,0.6779505610466003,internal,15-17 yrs,39,217562,16.025165557861328,0,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,17.92592430114746 +1983,24,0.6779505610466003,all,18-20 yrs,220,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,90.316436767578125 +1983,24,0.6779505610466003,MVA,18-20 yrs,71,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,29.1475772857666 +1983,24,0.6779505610466003,suicide,18-20 yrs,28,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,11.494818687438965 +1983,24,0.6779505610466003,homicide,18-20 yrs,31,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,12.726407051086426 +1983,24,0.6779505610466003,other external,18-20 yrs,32,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,13.13693618774414 +1983,24,0.6779505610466003,internal,18-20 yrs,58,243588,19.02094841003418,0.6779505610466003,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,23.810697555541992 +1983,24,0.6779505610466003,all,21-24 yrs,354,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,113.83991241455078 +1983,24,0.6779505610466003,MVA,21-24 yrs,107,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,34.409236907958984 +1983,24,0.6779505610466003,suicide,21-24 yrs,49,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,15.757501602172852 +1983,24,0.6779505610466003,homicide,21-24 yrs,57,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,18.330154418945312 +1983,24,0.6779505610466003,other external,21-24 yrs,43,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,13.828011512756348 +1983,24,0.6779505610466003,internal,21-24 yrs,98,310963,22.498489379882812,1,0.09036145359277725,1.340000033378601,0.3499999940395355,1.2000000476837158,2.890000104904175,31.515003204345703 +1984,24,0.34814271330833435,MVA,15-17 yrs,48,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,22.546537399291992 +1984,24,0.34814271330833435,suicide,15-17 yrs,12,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,5.636634349822998 +1984,24,0.34814271330833435,homicide,15-17 yrs,17,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,7.985231876373291 +1984,24,0.34814271330833435,other external,15-17 yrs,11,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,5.166914939880371 +1984,24,0.34814271330833435,internal,15-17 yrs,37,212893,16.01627540588379,0,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,17.379623413085938 +1984,24,0.34814271330833435,all,18-20 yrs,204,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,86.0643310546875 +1984,24,0.34814271330833435,MVA,18-20 yrs,62,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,26.15680503845215 +1984,24,0.34814271330833435,suicide,18-20 yrs,30,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,12.656518936157227 +1984,24,0.34814271330833435,homicide,18-20 yrs,30,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,12.656518936157227 +1984,24,0.34814271330833435,other external,18-20 yrs,18,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,7.593911170959473 +1984,24,0.34814271330833435,internal,18-20 yrs,64,237032,19.043170928955078,0.34814271330833435,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,27.000574111938477 +1984,24,0.34814271330833435,all,21-24 yrs,351,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,111.38048553466797 +1984,24,0.34814271330833435,MVA,21-24 yrs,106,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,33.63627243041992 +1984,24,0.34814271330833435,suicide,21-24 yrs,49,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,15.548842430114746 +1984,24,0.34814271330833435,homicide,21-24 yrs,66,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,20.94333839416504 +1984,24,0.34814271330833435,other external,21-24 yrs,28,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,8.885052680969238 +1984,24,0.34814271330833435,internal,21-24 yrs,102,315136,22.486392974853516,1,0.08662175387144089,1.309999942779541,0.36000001430511475,1.1699999570846558,2.8399999141693115,32.36697769165039 +1985,24,0.043641477823257446,MVA,15-17 yrs,38,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,18.06487274169922 +1985,24,0.043641477823257446,suicide,15-17 yrs,15,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,7.130870342254639 +1985,24,0.043641477823257446,homicide,15-17 yrs,14,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,6.6554789543151855 +1985,24,0.043641477823257446,other external,15-17 yrs,14,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,6.6554789543151855 +1985,24,0.043641477823257446,internal,15-17 yrs,31,210353,16.007492065429688,0,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.73713207244873 +1985,24,0.043641477823257446,all,18-20 yrs,222,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,97.8905029296875 +1985,24,0.043641477823257446,MVA,18-20 yrs,93,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,41.008182525634766 +1985,24,0.043641477823257446,suicide,18-20 yrs,23,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,10.14180850982666 +1985,24,0.043641477823257446,homicide,18-20 yrs,44,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,19.401721954345703 +1985,24,0.043641477823257446,other external,18-20 yrs,28,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,12.346549987792969 +1985,24,0.043641477823257446,internal,18-20 yrs,34,226784,19.04317855834961,0.043641477823257446,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.992238998413086 +1985,24,0.043641477823257446,all,21-24 yrs,370,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,115.63728332519531 +1985,24,0.043641477823257446,MVA,21-24 yrs,130,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,40.62931823730469 +1985,24,0.043641477823257446,suicide,21-24 yrs,52,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,16.251726150512695 +1985,24,0.043641477823257446,homicide,21-24 yrs,47,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,14.689061164855957 +1985,24,0.043641477823257446,other external,21-24 yrs,35,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,10.9386625289917 +1985,24,0.043641477823257446,internal,21-24 yrs,106,319966,22.489055633544922,1,0.0836431235074997,1.309999942779541,0.36000001430511475,1.1399999856948853,2.809999942779541,33.12852096557617 +1986,24,0,MVA,15-17 yrs,58,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,27.5150146484375 +1986,24,0,suicide,15-17 yrs,16,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,7.590348720550537 +1986,24,0,homicide,15-17 yrs,18,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,8.539142608642578 +1986,24,0,other external,15-17 yrs,11,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,5.218364715576172 +1986,24,0,internal,15-17 yrs,42,210794,16.00784683227539,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,19.924665451049805 +1986,24,0,all,18-20 yrs,207,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,94.5827407836914 +1986,24,0,MVA,18-20 yrs,83,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,37.92448043823242 +1986,24,0,suicide,18-20 yrs,26,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,11.87995719909668 +1986,24,0,homicide,18-20 yrs,34,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,15.53532886505127 +1986,24,0,other external,18-20 yrs,17,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,7.767664432525635 +1986,24,0,internal,18-20 yrs,47,218856,19.037120819091797,0,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,21.47530746459961 +1986,24,0,all,21-24 yrs,375,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,115.6329574584961 +1986,24,0,MVA,21-24 yrs,130,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,40.08609390258789 +1986,24,0,suicide,21-24 yrs,49,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,15.109373092651367 +1986,24,0,homicide,21-24 yrs,69,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,21.276464462280273 +1986,24,0,other external,21-24 yrs,34,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,10.484054565429688 +1986,24,0,internal,21-24 yrs,93,324302,22.51060676574707,1,0.08211679011583328,1.2899999618530273,0.38999998569488525,1.0800000429153442,2.75,28.676973342895508 +1987,24,0,MVA,15-17 yrs,45,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,21.862489700317383 +1987,24,0,suicide,15-17 yrs,22,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,10.688328742980957 +1987,24,0,homicide,15-17 yrs,15,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,7.287496566772461 +1987,24,0,other external,15-17 yrs,19,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,9.230829238891602 +1987,24,0,internal,15-17 yrs,32,205832,16.03948402404785,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,15.546659469604492 +1987,24,0,all,18-20 yrs,224,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,104.40213775634766 +1987,24,0,MVA,18-20 yrs,99,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,46.14201354980469 +1987,24,0,suicide,18-20 yrs,22,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,10.25378131866455 +1987,24,0,homicide,18-20 yrs,46,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,21.43972396850586 +1987,24,0,other external,18-20 yrs,20,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,9.321619033813477 +1987,24,0,internal,18-20 yrs,37,214555,19.029027938842773,0,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,17.2449951171875 +1987,24,0,all,21-24 yrs,369,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,114.2177963256836 +1987,24,0,MVA,21-24 yrs,111,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,34.35819625854492 +1987,24,0,suicide,21-24 yrs,57,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,17.64339828491211 +1987,24,0,homicide,21-24 yrs,66,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,20.42919921875 +1987,24,0,other external,21-24 yrs,44,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,13.619465827941895 +1987,24,0,internal,21-24 yrs,91,323067,22.54707145690918,1,0.07922535389661789,1.2899999618530273,0.3799999952316284,1.0700000524520874,2.740000009536743,28.167531967163086 +1988,24,0,MVA,15-17 yrs,45,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,22.92386245727539 +1988,24,0,suicide,15-17 yrs,18,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,9.16954517364502 +1988,24,0,homicide,15-17 yrs,29,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,14.773155212402344 +1988,24,0,other external,15-17 yrs,10,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,5.094191551208496 +1988,24,0,internal,15-17 yrs,33,196302,16.070640563964844,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,16.810832977294922 +1988,24,0,all,18-20 yrs,238,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,111.56319427490234 +1988,24,0,MVA,18-20 yrs,81,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,37.96898651123047 +1988,24,0,suicide,18-20 yrs,36,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,16.875104904174805 +1988,24,0,homicide,18-20 yrs,59,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,27.656423568725586 +1988,24,0,other external,18-20 yrs,19,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,8.906305313110352 +1988,24,0,internal,18-20 yrs,43,213332,19.01883888244629,0,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,20.156375885009766 +1988,24,0,all,21-24 yrs,366,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,115.32608032226562 +1988,24,0,MVA,21-24 yrs,95,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,29.934364318847656 +1988,24,0,suicide,21-24 yrs,46,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,14.494534492492676 +1988,24,0,homicide,21-24 yrs,63,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,19.85120964050293 +1988,24,0,other external,21-24 yrs,62,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,19.53611183166504 +1988,24,0,internal,21-24 yrs,100,317361,22.567935943603516,1,0.07607776671648026,1.2599999904632568,0.36000001430511475,1.0099999904632568,2.619999885559082,31.509857177734375 +1989,24,0,MVA,15-17 yrs,52,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,28.559816360473633 +1989,24,0,suicide,15-17 yrs,13,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,7.139954090118408 +1989,24,0,homicide,15-17 yrs,33,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,18.12449836730957 +1989,24,0,other external,15-17 yrs,15,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,8.238408088684082 +1989,24,0,internal,15-17 yrs,36,182074,16.057735443115234,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,19.772180557250977 +1989,24,0,all,18-20 yrs,239,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,112.19603729248047 +1989,24,0,MVA,18-20 yrs,72,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,33.799644470214844 +1989,24,0,suicide,18-20 yrs,19,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,8.919350624084473 +1989,24,0,homicide,18-20 yrs,64,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,30.044126510620117 +1989,24,0,other external,18-20 yrs,24,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,11.266548156738281 +1989,24,0,internal,18-20 yrs,60,213020,19.017759323120117,0,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,28.16636848449707 +1989,24,0,all,21-24 yrs,358,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,116.630615234375 +1989,24,0,MVA,21-24 yrs,91,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.646329879760742 +1989,24,0,suicide,21-24 yrs,49,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,15.963407516479492 +1989,24,0,homicide,21-24 yrs,90,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.320545196533203 +1989,24,0,other external,21-24 yrs,38,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,12.379785537719727 +1989,24,0,internal,21-24 yrs,90,306952,22.567047119140625,1,0.07258065044879913,1.2200000286102295,0.3400000035762787,0.9800000190734863,2.5399999618530273,29.320545196533203 +1990,24,0,MVA,15-17 yrs,41,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,23.339614868164062 +1990,24,0,suicide,15-17 yrs,13,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,7.400365352630615 +1990,24,0,homicide,15-17 yrs,26,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,14.80073070526123 +1990,24,0,other external,15-17 yrs,10,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,5.692588806152344 +1990,24,0,internal,15-17 yrs,38,175667,16.017715454101562,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,21.631837844848633 +1990,24,0,all,18-20 yrs,258,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,123.90145874023438 +1990,24,0,MVA,18-20 yrs,81,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,38.899295806884766 +1990,24,0,suicide,18-20 yrs,27,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,12.966431617736816 +1990,24,0,homicide,18-20 yrs,95,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,45.62262725830078 +1990,24,0,other external,18-20 yrs,11,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,5.282619953155518 +1990,24,0,internal,18-20 yrs,44,208230,19.04610252380371,0,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,21.13047981262207 +1990,24,0,all,21-24 yrs,322,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,108.71583557128906 +1990,24,0,MVA,21-24 yrs,84,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,28.360652923583984 +1990,24,0,suicide,21-24 yrs,31,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,10.466431617736816 +1990,24,0,homicide,21-24 yrs,98,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,33.08742904663086 +1990,24,0,other external,21-24 yrs,23,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,7.765417098999023 +1990,24,0,internal,21-24 yrs,86,296185,22.550273895263672,1,0.06885998696088791,1.2200000286102295,0.33000001311302185,0.9599999785423279,2.509999990463257,29.035905838012695 +1991,24,0,MVA,15-17 yrs,42,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,24.23235321044922 +1991,24,0,suicide,15-17 yrs,10,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,5.769608020782471 +1991,24,0,homicide,15-17 yrs,32,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,18.462745666503906 +1991,24,0,other external,15-17 yrs,14,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,8.0774507522583 +1991,24,0,internal,15-17 yrs,20,173322,16.00568962097168,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,11.539216041564941 +1991,24,0,all,18-20 yrs,216,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,108.80461120605469 +1991,24,0,MVA,18-20 yrs,71,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,35.76447677612305 +1991,24,0,suicide,18-20 yrs,14,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,7.052150726318359 +1991,24,0,homicide,18-20 yrs,73,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,36.77192687988281 +1991,24,0,other external,18-20 yrs,10,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,5.037250518798828 +1991,24,0,internal,18-20 yrs,48,198521,19.057666778564453,0,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,24.178802490234375 +1991,24,0,all,21-24 yrs,331,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,115.71524810791016 +1991,24,0,MVA,21-24 yrs,76,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,26.569061279296875 +1991,24,0,suicide,21-24 yrs,43,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,15.03249454498291 +1991,24,0,homicide,21-24 yrs,97,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,33.9105110168457 +1991,24,0,other external,21-24 yrs,20,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,6.991858005523682 +1991,24,0,internal,21-24 yrs,95,286047,22.526823043823242,1,0.06607929617166519,1.149999976158142,0.30000001192092896,0.8899999856948853,2.3299999237060547,33.211326599121094 +1992,24,0,MVA,15-17 yrs,45,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,25.56687355041504 +1992,24,0,suicide,15-17 yrs,15,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,8.52229118347168 +1992,24,0,homicide,15-17 yrs,28,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,15.90827751159668 +1992,24,0,other external,15-17 yrs,12,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.817832946777344 +1992,24,0,internal,15-17 yrs,35,176009,15.995437622070312,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,19.885347366333008 +1992,24,0,all,18-20 yrs,176,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,93.92527770996094 +1992,24,0,MVA,18-20 yrs,43,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,22.94765281677246 +1992,24,0,suicide,18-20 yrs,13,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.937662601470947 +1992,24,0,homicide,18-20 yrs,71,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,37.89030838012695 +1992,24,0,other external,18-20 yrs,12,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,6.403995990753174 +1992,24,0,internal,18-20 yrs,37,187383,19.050100326538086,0,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,19.745655059814453 +1992,24,0,all,21-24 yrs,322,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,115.50699615478516 +1992,24,0,MVA,21-24 yrs,62,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,22.240476608276367 +1992,24,0,suicide,21-24 yrs,31,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,11.120238304138184 +1992,24,0,homicide,21-24 yrs,115,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,41.252498626708984 +1992,24,0,other external,21-24 yrs,28,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,10.044086456298828 +1992,24,0,internal,21-24 yrs,86,278771,22.50731658935547,1,0.06414825469255447,1.1100000143051147,0.28999999165534973,0.8600000143051147,2.259999990463257,30.849693298339844 +1993,24,0,MVA,15-17 yrs,28,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,15.618550300598145 +1993,24,0,suicide,15-17 yrs,10,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,5.5780534744262695 +1993,24,0,homicide,15-17 yrs,33,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,18.407577514648438 +1993,24,0,other external,15-17 yrs,18,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,10.040496826171875 +1993,24,0,internal,15-17 yrs,40,179274,15.982641220092773,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,22.312213897705078 +1993,24,0,all,18-20 yrs,215,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,118.41358947753906 +1993,24,0,MVA,18-20 yrs,53,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,29.190326690673828 +1993,24,0,suicide,18-20 yrs,22,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,12.116739273071289 +1993,24,0,homicide,18-20 yrs,75,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,41.307064056396484 +1993,24,0,other external,18-20 yrs,30,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,16.5228271484375 +1993,24,0,internal,18-20 yrs,35,181567,19.02922248840332,0,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,19.276630401611328 +1993,24,0,all,21-24 yrs,361,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,133.4817352294922 +1993,24,0,MVA,21-24 yrs,78,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,28.840927124023438 +1993,24,0,suicide,21-24 yrs,52,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,19.227285385131836 +1993,24,0,homicide,21-24 yrs,114,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,42.15212631225586 +1993,24,0,other external,21-24 yrs,30,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,11.09266471862793 +1993,24,0,internal,21-24 yrs,87,270449,22.526872634887695,1,0.06228373944759369,1.100000023841858,0.2800000011920929,0.800000011920929,2.190000057220459,32.16872787475586 +1994,24,0,MVA,15-17 yrs,43,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,23.315710067749023 +1994,24,0,suicide,15-17 yrs,12,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,6.506710052490234 +1994,24,0,homicide,15-17 yrs,24,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,13.013420104980469 +1994,24,0,other external,15-17 yrs,7,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,3.7955808639526367 +1994,24,0,internal,15-17 yrs,26,184425,15.989567756652832,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,14.097871780395508 +1994,24,0,all,18-20 yrs,181,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,101.20608520507812 +1994,24,0,MVA,18-20 yrs,40,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,22.365985870361328 +1994,24,0,suicide,18-20 yrs,20,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,11.182992935180664 +1994,24,0,homicide,18-20 yrs,77,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,43.05452346801758 +1994,24,0,other external,18-20 yrs,13,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,7.268945217132568 +1994,24,0,internal,18-20 yrs,31,178843,19.018156051635742,0,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,17.33363914489746 +1994,24,0,all,21-24 yrs,316,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,120.39471435546875 +1994,24,0,MVA,21-24 yrs,51,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,19.4307918548584 +1994,24,0,suicide,21-24 yrs,44,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,16.76382064819336 +1994,24,0,homicide,21-24 yrs,117,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,44.57652282714844 +1994,24,0,other external,21-24 yrs,28,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,10.667885780334473 +1994,24,0,internal,21-24 yrs,76,262470,22.55295753479004,1,0.06072874739766121,1.090000033378601,0.2800000011920929,0.7799999713897705,2.1500000953674316,28.955690383911133 +1995,24,0,MVA,15-17 yrs,47,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,24.5998592376709 +1995,24,0,suicide,15-17 yrs,16,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,8.374420166015625 +1995,24,0,homicide,15-17 yrs,48,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,25.123260498046875 +1995,24,0,other external,15-17 yrs,11,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,5.757413864135742 +1995,24,0,internal,15-17 yrs,27,191058,15.976117134094238,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,14.131834030151367 +1995,24,0,all,18-20 yrs,212,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,117.01587677001953 +1995,24,0,MVA,18-20 yrs,57,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,31.461814880371094 +1995,24,0,suicide,18-20 yrs,20,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,11.039233207702637 +1995,24,0,homicide,18-20 yrs,80,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,44.15693283081055 +1995,24,0,other external,18-20 yrs,16,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,8.83138656616211 +1995,24,0,internal,18-20 yrs,39,181172,19.008676528930664,0,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,21.526504516601562 +1995,24,0,all,21-24 yrs,285,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,113.39041137695312 +1995,24,0,MVA,21-24 yrs,57,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,22.678083419799805 +1995,24,0,suicide,21-24 yrs,33,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,13.129416465759277 +1995,24,0,homicide,21-24 yrs,89,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,35.409637451171875 +1995,24,0,other external,21-24 yrs,25,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,9.946527481079102 +1995,24,0,internal,21-24 yrs,81,251344,22.56391716003418,1,0.05905512347817421,1.059999942779541,0.2800000011920929,0.7400000095367432,2.0899999141693115,32.226749420166016 +1996,24,0,MVA,15-17 yrs,30,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,15.331466674804688 +1996,24,0,suicide,15-17 yrs,9,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,4.599440097808838 +1996,24,0,homicide,15-17 yrs,48,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,24.530345916748047 +1996,24,0,other external,15-17 yrs,17,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,8.687830924987793 +1996,24,0,internal,15-17 yrs,20,195676,15.987739562988281,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,10.220977783203125 +1996,24,0,all,18-20 yrs,207,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,112.20728302001953 +1996,24,0,MVA,18-20 yrs,56,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,30.355594635009766 +1996,24,0,suicide,18-20 yrs,16,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,8.673027038574219 +1996,24,0,homicide,18-20 yrs,72,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,39.028621673583984 +1996,24,0,other external,18-20 yrs,26,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,14.093668937683105 +1996,24,0,internal,18-20 yrs,37,184480,18.99785804748535,0,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,20.05637550354004 +1996,24,0,all,21-24 yrs,283,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,116.46186065673828 +1996,24,0,MVA,21-24 yrs,56,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,23.04545783996582 +1996,24,0,suicide,21-24 yrs,37,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,15.226462364196777 +1996,24,0,homicide,21-24 yrs,93,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,38.27191925048828 +1996,24,0,other external,21-24 yrs,33,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,13.580358505249023 +1996,24,0,internal,21-24 yrs,64,242998,22.5346622467041,1,0.057361382991075516,1.0499999523162842,0.28999999165534973,0.7400000095367432,2.0799999237060547,26.337665557861328 +1970,25,0,MVA,15-17 yrs,80,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,25.964752197265625 +1970,25,0,suicide,15-17 yrs,7,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,2.271915912628174 +1970,25,0,homicide,15-17 yrs,6,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,1.9473564624786377 +1970,25,0,other external,15-17 yrs,36,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,11.684139251708984 +1970,25,0,internal,15-17 yrs,71,308110,15.983291625976562,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,23.043718338012695 +1970,25,0,all,18-20 yrs,298,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,97.515960693359375 +1970,25,0,MVA,18-20 yrs,119,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,38.94093704223633 +1970,25,0,suicide,18-20 yrs,24,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,7.853634357452393 +1970,25,0,homicide,18-20 yrs,16,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,5.2357563972473145 +1970,25,0,other external,18-20 yrs,48,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,15.707268714904785 +1970,25,0,internal,18-20 yrs,91,305591,18.979944229125977,0,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,29.778364181518555 +1970,25,0,all,21-24 yrs,384,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,104.97654724121094 +1970,25,0,MVA,21-24 yrs,102,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,27.8843936920166 +1970,25,0,suicide,21-24 yrs,39,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,10.661680221557617 +1970,25,0,homicide,21-24 yrs,29,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,7.927916049957275 +1970,25,0,other external,21-24 yrs,62,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,16.949337005615234 +1970,25,0,internal,21-24 yrs,152,365796,22.42169952392578,1,0.22680412232875824,1.149999976158142,0.30000001192092896,1.350000023841858,2.799999952316284,41.55321502685547 +1971,25,0,MVA,15-17 yrs,99,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,31.348955154418945 +1971,25,0,suicide,15-17 yrs,9,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,2.849905014038086 +1971,25,0,homicide,15-17 yrs,9,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,2.849905014038086 +1971,25,0,other external,15-17 yrs,37,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,11.716276168823242 +1971,25,0,internal,15-17 yrs,88,315800,15.982504844665527,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,27.865737915039062 +1971,25,0,all,18-20 yrs,361,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,114.73794555664062 +1971,25,0,MVA,18-20 yrs,138,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,43.86104202270508 +1971,25,0,suicide,18-20 yrs,27,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.58150863647461 +1971,25,0,homicide,18-20 yrs,23,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,7.310173988342285 +1971,25,0,other external,18-20 yrs,50,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,15.891682624816895 +1971,25,0,internal,18-20 yrs,123,314630,18.993541717529297,0,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,39.09354019165039 +1971,25,0,all,21-24 yrs,379,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,96.00794219970703 +1971,25,0,MVA,21-24 yrs,110,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,27.865102767944336 +1971,25,0,suicide,21-24 yrs,34,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.612850189208984 +1971,25,0,homicide,21-24 yrs,33,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,8.359530448913574 +1971,25,0,other external,21-24 yrs,59,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,14.94582748413086 +1971,25,0,internal,21-24 yrs,143,394759,22.550918579101562,1,0.2172839492559433,1.149999976158142,0.3700000047683716,1.3700000047683716,2.890000104904175,36.224632263183594 +1972,25,0,MVA,15-17 yrs,106,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,32.74242401123047 +1972,25,0,suicide,15-17 yrs,6,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,1.8533447980880737 +1972,25,0,homicide,15-17 yrs,10,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,3.0889079570770264 +1972,25,0,other external,15-17 yrs,56,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,17.29788589477539 +1972,25,0,internal,15-17 yrs,102,323739,15.977766036987305,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,31.50686264038086 +1972,25,0,all,18-20 yrs,356,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,110.7350845336914 +1972,25,0,MVA,18-20 yrs,132,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,41.05907440185547 +1972,25,0,suicide,18-20 yrs,28,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,8.709501266479492 +1972,25,0,homicide,18-20 yrs,14,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,4.354750633239746 +1972,25,0,other external,18-20 yrs,62,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,19.285324096679688 +1972,25,0,internal,18-20 yrs,120,321488,18.99459457397461,0,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,37.32643127441406 +1972,25,0,all,21-24 yrs,408,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,104.6475830078125 +1972,25,0,MVA,21-24 yrs,122,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,31.29167938232422 +1972,25,0,suicide,21-24 yrs,50,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,12.824459075927734 +1972,25,0,homicide,21-24 yrs,30,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,7.694675445556641 +1972,25,0,other external,21-24 yrs,58,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,14.876372337341309 +1972,25,0,internal,21-24 yrs,148,389880,22.503280639648438,1,0.21052631735801697,1.1699999570846558,0.36000001430511475,1.340000033378601,2.869999885559082,37.96039962768555 +1973,25,0.8383561372756958,MVA,15-17 yrs,86,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,25.990745544433594 +1973,25,0.8383561372756958,suicide,15-17 yrs,11,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,3.3243978023529053 +1973,25,0.8383561372756958,homicide,15-17 yrs,16,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,4.8354878425598145 +1973,25,0.8383561372756958,other external,15-17 yrs,54,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,16.31977081298828 +1973,25,0.8383561372756958,internal,15-17 yrs,78,330887,15.981207847595215,0,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,23.573001861572266 +1973,25,0.8383561372756958,all,18-20 yrs,399,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,121.30387878417969 +1973,25,0.8383561372756958,MVA,18-20 yrs,184,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,55.939632415771484 +1973,25,0.8383561372756958,suicide,18-20 yrs,33,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,10.032651901245117 +1973,25,0.8383561372756958,homicide,18-20 yrs,22,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,6.688434600830078 +1973,25,0.8383561372756958,other external,18-20 yrs,64,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,19.457263946533203 +1973,25,0.8383561372756958,internal,18-20 yrs,96,328926,18.995248794555664,0.8383561372756958,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,29.185895919799805 +1973,25,0.8383561372756958,all,21-24 yrs,412,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,103.46221923828125 +1973,25,0.8383561372756958,MVA,21-24 yrs,117,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,29.38125991821289 +1973,25,0.8383561372756958,suicide,21-24 yrs,53,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,13.309459686279297 +1973,25,0.8383561372756958,homicide,21-24 yrs,33,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,8.287022590637207 +1973,25,0.8383561372756958,other external,21-24 yrs,62,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,15.569557189941406 +1973,25,0.8383561372756958,internal,21-24 yrs,147,398213,22.484569549560547,1,0.19819818437099457,1.25,0.3700000047683716,1.3899999856948853,3.009999990463257,36.9149169921875 +1974,25,1,MVA,15-17 yrs,98,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,29.229997634887695 +1974,25,1,suicide,15-17 yrs,11,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,3.2809181213378906 +1974,25,1,homicide,15-17 yrs,8,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,2.386122226715088 +1974,25,1,other external,15-17 yrs,34,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,10.141019821166992 +1974,25,1,internal,15-17 yrs,75,335272,15.99420166015625,0,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,22.369895935058594 +1974,25,1,all,18-20 yrs,364,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,108.68331909179688 +1974,25,1,MVA,18-20 yrs,175,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,52.25159454345703 +1974,25,1,suicide,18-20 yrs,25,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,7.464513778686523 +1974,25,1,homicide,18-20 yrs,21,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,6.270191669464111 +1974,25,1,other external,18-20 yrs,56,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,16.720510482788086 +1974,25,1,internal,18-20 yrs,87,334918,18.99567413330078,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,25.97650718688965 +1974,25,1,all,21-24 yrs,445,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,112.94473266601562 +1974,25,1,MVA,21-24 yrs,142,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,36.04079055786133 +1974,25,1,suicide,21-24 yrs,53,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,13.451845169067383 +1974,25,1,homicide,21-24 yrs,35,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,8.883294105529785 +1974,25,1,other external,21-24 yrs,59,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,14.974695205688477 +1974,25,1,internal,21-24 yrs,156,393998,22.473825454711914,1,0.1784989833831787,1.309999942779541,0.3700000047683716,1.409999966621399,3.0899999141693115,39.59410858154297 +1975,25,1,MVA,15-17 yrs,91,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,27.316417694091797 +1975,25,1,suicide,15-17 yrs,10,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,3.0018041133880615 +1975,25,1,homicide,15-17 yrs,16,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,4.802886486053467 +1975,25,1,other external,15-17 yrs,35,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,10.506314277648926 +1975,25,1,internal,15-17 yrs,64,333133,16.003196716308594,0,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,19.211545944213867 +1975,25,1,all,18-20 yrs,328,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,95.86690521240234 +1975,25,1,MVA,18-20 yrs,131,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,38.288307189941406 +1975,25,1,suicide,18-20 yrs,29,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,8.476037979125977 +1975,25,1,homicide,18-20 yrs,23,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,6.72237491607666 +1975,25,1,other external,18-20 yrs,57,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,16.65979766845703 +1975,25,1,internal,18-20 yrs,88,342141,18.9894962310791,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,25.72039031982422 +1975,25,1,all,21-24 yrs,434,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,108.47993469238281 +1975,25,1,MVA,21-24 yrs,139,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,34.74357223510742 +1975,25,1,suicide,21-24 yrs,57,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,14.247364044189453 +1975,25,1,homicide,21-24 yrs,25,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,6.248844146728516 +1975,25,1,other external,21-24 yrs,71,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,17.74671745300293 +1975,25,1,internal,21-24 yrs,142,400074,22.474388122558594,1,0.19702602922916412,1.3300000429153442,0.3799999952316284,1.3600000143051147,3.069999933242798,35.49343490600586 +1976,25,1,MVA,15-17 yrs,89,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,26.760478973388672 +1976,25,1,suicide,15-17 yrs,9,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,2.70611572265625 +1976,25,1,homicide,15-17 yrs,10,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,3.0067954063415527 +1976,25,1,other external,15-17 yrs,36,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,10.824462890625 +1976,25,1,internal,15-17 yrs,63,332580,15.995508193969727,0,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,18.94281005859375 +1976,25,1,all,18-20 yrs,331,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,95.0136489868164 +1976,25,1,MVA,18-20 yrs,154,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,44.205745697021484 +1976,25,1,suicide,18-20 yrs,35,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,10.046760559082031 +1976,25,1,homicide,18-20 yrs,20,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,5.741005897521973 +1976,25,1,other external,18-20 yrs,39,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,11.194961547851562 +1976,25,1,internal,18-20 yrs,83,348371,18.990991592407227,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,23.82517433166504 +1976,25,1,all,21-24 yrs,421,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,103.80529022216797 +1976,25,1,MVA,21-24 yrs,123,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,30.327911376953125 +1976,25,1,suicide,21-24 yrs,62,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,15.287240028381348 +1976,25,1,homicide,21-24 yrs,32,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,7.890188217163086 +1976,25,1,other external,21-24 yrs,66,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,16.273513793945312 +1976,25,1,internal,21-24 yrs,138,405567,22.46990203857422,1,0.18629173934459686,1.2999999523162842,0.3799999952316284,1.3200000524520874,3,34.02643585205078 +1977,25,1,MVA,15-17 yrs,89,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,26.91179656982422 +1977,25,1,suicide,15-17 yrs,13,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,3.930936574935913 +1977,25,1,homicide,15-17 yrs,6,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,1.8142783641815186 +1977,25,1,other external,15-17 yrs,27,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,8.164252281188965 +1977,25,1,internal,15-17 yrs,64,330710,15.996002197265625,0,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,19.35230255126953 +1977,25,1,all,18-20 yrs,309,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,87.61980438232422 +1977,25,1,MVA,18-20 yrs,131,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,37.14625930786133 +1977,25,1,suicide,18-20 yrs,40,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,11.342369079589844 +1977,25,1,homicide,18-20 yrs,15,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,4.253388404846191 +1977,25,1,other external,18-20 yrs,45,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,12.760165214538574 +1977,25,1,internal,18-20 yrs,78,352660,19.003326416015625,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,22.11762046813965 +1977,25,1,all,21-24 yrs,378,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,91.65325164794922 +1977,25,1,MVA,21-24 yrs,118,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,28.611331939697266 +1977,25,1,suicide,21-24 yrs,54,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,13.093321800231934 +1977,25,1,homicide,21-24 yrs,24,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,5.819253921508789 +1977,25,1,other external,21-24 yrs,64,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,15.518010139465332 +1977,25,1,internal,21-24 yrs,118,412424,22.471750259399414,1,0.17491748929023743,1.340000033378601,0.3700000047683716,1.2400000095367432,2.950000047683716,28.611331939697266 +1978,25,1,MVA,15-17 yrs,103,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,31.342144012451172 +1978,25,1,suicide,15-17 yrs,13,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,3.9558045864105225 +1978,25,1,homicide,15-17 yrs,9,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,2.738633871078491 +1978,25,1,other external,15-17 yrs,31,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,9.433072090148926 +1978,25,1,internal,15-17 yrs,64,328631,16.011516571044922,0,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,19.474729537963867 +1978,25,1,all,18-20 yrs,330,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,93.81689453125 +1978,25,1,MVA,18-20 yrs,154,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,43.781219482421875 +1978,25,1,suicide,18-20 yrs,23,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,6.538753509521484 +1978,25,1,homicide,18-20 yrs,14,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,3.9801108837127686 +1978,25,1,other external,18-20 yrs,56,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,15.920443534851074 +1978,25,1,internal,18-20 yrs,83,351749,19.01060676574707,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,23.596370697021484 +1978,25,1,all,21-24 yrs,407,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,96.55257415771484 +1978,25,1,MVA,21-24 yrs,155,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,36.77063751220703 +1978,25,1,suicide,21-24 yrs,57,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,13.52210521697998 +1978,25,1,homicide,21-24 yrs,37,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,8.777506828308105 +1978,25,1,other external,21-24 yrs,55,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,13.047645568847656 +1978,25,1,internal,21-24 yrs,103,421532,22.46518325805664,1,0.16257669031620026,1.3700000047683716,0.4000000059604645,1.25,3.0199999809265137,24.434680938720703 +1979,25,0.5246357321739197,MVA,15-17 yrs,98,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,30.257652282714844 +1979,25,0.5246357321739197,suicide,15-17 yrs,10,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,3.0875155925750732 +1979,25,0.5246357321739197,homicide,15-17 yrs,15,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,4.63127326965332 +1979,25,0.5246357321739197,other external,15-17 yrs,29,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,8.953795433044434 +1979,25,0.5246357321739197,internal,15-17 yrs,40,323885,16.008407592773438,0,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.350062370300293 +1979,25,0.5246357321739197,all,18-20 yrs,368,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,104.28533172607422 +1979,25,0.5246357321739197,MVA,18-20 yrs,190,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,53.84297180175781 +1979,25,0.5246357321739197,suicide,18-20 yrs,32,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,9.068289756774902 +1979,25,0.5246357321739197,homicide,18-20 yrs,27,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,7.651369571685791 +1979,25,0.5246357321739197,other external,18-20 yrs,43,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.185514450073242 +1979,25,0.5246357321739197,internal,18-20 yrs,76,352878,19.002153396606445,0.5246357321739197,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,21.537187576293945 +1979,25,0.5246357321739197,all,21-24 yrs,402,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,93.28791046142578 +1979,25,0.5246357321739197,MVA,21-24 yrs,145,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,33.648624420166016 +1979,25,0.5246357321739197,suicide,21-24 yrs,56,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.995330810546875 +1979,25,0.5246357321739197,homicide,21-24 yrs,31,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,7.193843841552734 +1979,25,0.5246357321739197,other external,21-24 yrs,54,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,12.531211853027344 +1979,25,0.5246357321739197,internal,21-24 yrs,116,430924,22.467164993286133,1,0.1460055112838745,1.3899999856948853,0.41999998688697815,1.2300000190734863,3.0399999618530273,26.918899536132812 +1980,25,0.3340226113796234,MVA,15-17 yrs,85,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,26.923187255859375 +1980,25,0.3340226113796234,suicide,15-17 yrs,7,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,2.2172036170959473 +1980,25,0.3340226113796234,homicide,15-17 yrs,11,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,3.4841771125793457 +1980,25,0.3340226113796234,other external,15-17 yrs,24,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,7.601840972900391 +1980,25,0.3340226113796234,internal,15-17 yrs,58,315713,16.0137882232666,0,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,18.37111473083496 +1980,25,0.3340226113796234,all,18-20 yrs,303,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,87.62822723388672 +1980,25,0.3340226113796234,MVA,18-20 yrs,139,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,40.1990852355957 +1980,25,0.3340226113796234,suicide,18-20 yrs,32,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,9.25446605682373 +1980,25,0.3340226113796234,homicide,18-20 yrs,13,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,3.759626865386963 +1980,25,0.3340226113796234,other external,18-20 yrs,40,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,11.568082809448242 +1980,25,0.3340226113796234,internal,18-20 yrs,79,345779,19.01309585571289,0.3340226113796234,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,22.84696388244629 +1980,25,0.3340226113796234,all,21-24 yrs,450,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,101.97837829589844 +1980,25,0.3340226113796234,MVA,21-24 yrs,181,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,41.01797103881836 +1980,25,0.3340226113796234,suicide,21-24 yrs,57,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,12.917261123657227 +1980,25,0.3340226113796234,homicide,21-24 yrs,30,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,6.798558712005615 +1980,25,0.3340226113796234,other external,21-24 yrs,68,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,15.410066604614258 +1980,25,0.3340226113796234,internal,21-24 yrs,114,441270,22.473773956298828,1,0.1286407709121704,1.4700000286102295,0.44999998807907104,1.2699999809265137,3.190000057220459,25.834522247314453 +1981,25,0.35027989745140076,MVA,15-17 yrs,62,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,20.241857528686523 +1981,25,0.35027989745140076,suicide,15-17 yrs,9,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,2.9383342266082764 +1981,25,0.35027989745140076,homicide,15-17 yrs,13,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,4.244260311126709 +1981,25,0.35027989745140076,other external,15-17 yrs,21,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,6.856112957000732 +1981,25,0.35027989745140076,internal,15-17 yrs,53,306296,16.026559829711914,0,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,17.303524017333984 +1981,25,0.35027989745140076,all,18-20 yrs,294,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,86.11927032470703 +1981,25,0.35027989745140076,MVA,18-20 yrs,131,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,38.37287139892578 +1981,25,0.35027989745140076,suicide,18-20 yrs,31,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,9.08060359954834 +1981,25,0.35027989745140076,homicide,18-20 yrs,25,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,7.3230671882629395 +1981,25,0.35027989745140076,other external,18-20 yrs,41,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,12.009830474853516 +1981,25,0.35027989745140076,internal,18-20 yrs,66,341387,19.040441513061523,0.35027989745140076,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,19.332897186279297 +1981,25,0.35027989745140076,all,21-24 yrs,354,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,78.15604400634766 +1981,25,0.35027989745140076,MVA,21-24 yrs,118,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,26.05201530456543 +1981,25,0.35027989745140076,suicide,21-24 yrs,52,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,11.480548858642578 +1981,25,0.35027989745140076,homicide,21-24 yrs,25,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,5.519495010375977 +1981,25,0.35027989745140076,other external,21-24 yrs,53,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,11.701329231262207 +1981,25,0.35027989745140076,internal,21-24 yrs,106,452940,22.49026107788086,1,0.11661165952682495,1.440000057220459,0.49000000953674316,1.2400000095367432,3.1700000762939453,23.402658462524414 +1982,25,0.3477925956249237,MVA,15-17 yrs,80,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,27.263092041015625 +1982,25,0.3477925956249237,suicide,15-17 yrs,7,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,2.3855204582214355 +1982,25,0.3477925956249237,homicide,15-17 yrs,10,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,3.407886505126953 +1982,25,0.3477925956249237,other external,15-17 yrs,23,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,7.838139057159424 +1982,25,0.3477925956249237,internal,15-17 yrs,35,293437,16.027849197387695,0,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.927602767944336 +1982,25,0.3477925956249237,all,18-20 yrs,258,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,77.60542297363281 +1982,25,0.3477925956249237,MVA,18-20 yrs,97,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,29.17723274230957 +1982,25,0.3477925956249237,suicide,18-20 yrs,26,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,7.820701599121094 +1982,25,0.3477925956249237,homicide,18-20 yrs,28,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,8.422293663024902 +1982,25,0.3477925956249237,other external,18-20 yrs,31,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,9.324682235717773 +1982,25,0.3477925956249237,internal,18-20 yrs,76,332451,19.02967071533203,0.3477925956249237,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,22.860511779785156 +1982,25,0.3477925956249237,all,21-24 yrs,339,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,73.5501480102539 +1982,25,0.3477925956249237,MVA,21-24 yrs,112,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,24.299755096435547 +1982,25,0.3477925956249237,suicide,21-24 yrs,53,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.498991012573242 +1982,25,0.3477925956249237,homicide,21-24 yrs,28,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,6.074938774108887 +1982,25,0.3477925956249237,other external,21-24 yrs,53,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,11.498991012573242 +1982,25,0.3477925956249237,internal,21-24 yrs,93,460910,22.488359451293945,1,0.10984455794095993,1.350000023841858,0.49000000953674316,1.2200000286102295,3.069999933242798,20.177474975585938 +1983,25,0.33995914459228516,MVA,15-17 yrs,64,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,22.655588150024414 +1983,25,0.33995914459228516,suicide,15-17 yrs,18,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,6.371884346008301 +1983,25,0.33995914459228516,homicide,15-17 yrs,7,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,2.4779551029205322 +1983,25,0.33995914459228516,other external,15-17 yrs,24,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,8.495845794677734 +1983,25,0.33995914459228516,internal,15-17 yrs,44,282491,16.024343490600586,0,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,15.57571792602539 +1983,25,0.33995914459228516,all,18-20 yrs,256,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,78.29847717285156 +1983,25,0.33995914459228516,MVA,18-20 yrs,99,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,30.279489517211914 +1983,25,0.33995914459228516,suicide,18-20 yrs,34,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,10.399016380310059 +1983,25,0.33995914459228516,homicide,18-20 yrs,18,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,5.505361557006836 +1983,25,0.33995914459228516,other external,18-20 yrs,37,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,11.316576957702637 +1983,25,0.33995914459228516,internal,18-20 yrs,68,326954,19.023107528686523,0.33995914459228516,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,20.798032760620117 +1983,25,0.33995914459228516,all,21-24 yrs,355,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,76.36248016357422 +1983,25,0.33995914459228516,MVA,21-24 yrs,112,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,24.09182357788086 +1983,25,0.33995914459228516,suicide,21-24 yrs,54,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,11.615700721740723 +1983,25,0.33995914459228516,homicide,21-24 yrs,33,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,7.098484039306641 +1983,25,0.33995914459228516,other external,21-24 yrs,56,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,12.04591178894043 +1983,25,0.33995914459228516,internal,21-24 yrs,100,464888,22.50465965270996,1,0.1064257025718689,1.3600000143051147,0.5,1.2100000381469727,3.069999933242798,21.510557174682617 +1984,25,0.3471851646900177,MVA,15-17 yrs,64,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,23.208587646484375 +1984,25,0.3471851646900177,suicide,15-17 yrs,9,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,3.2637076377868652 +1984,25,0.3471851646900177,homicide,15-17 yrs,11,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,3.988976001739502 +1984,25,0.3471851646900177,other external,15-17 yrs,17,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.164781093597412 +1984,25,0.3471851646900177,internal,15-17 yrs,45,275760,16.01907730102539,0,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,16.318538665771484 +1984,25,0.3471851646900177,all,18-20 yrs,265,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,81.80830383300781 +1984,25,0.3471851646900177,MVA,18-20 yrs,117,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,36.119136810302734 +1984,25,0.3471851646900177,suicide,18-20 yrs,29,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,8.952607154846191 +1984,25,0.3471851646900177,homicide,18-20 yrs,20,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.174211502075195 +1984,25,0.3471851646900177,other external,18-20 yrs,38,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,11.731001853942871 +1984,25,0.3471851646900177,internal,18-20 yrs,61,323928,19.036733627319336,0.3471851646900177,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,18.831344604492188 +1984,25,0.3471851646900177,all,21-24 yrs,379,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,82.042266845703125 +1984,25,0.3471851646900177,MVA,21-24 yrs,123,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,26.6258544921875 +1984,25,0.3471851646900177,suicide,21-24 yrs,50,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,10.823517799377441 +1984,25,0.3471851646900177,homicide,21-24 yrs,30,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,6.494111061096191 +1984,25,0.3471851646900177,other external,21-24 yrs,59,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,12.771751403808594 +1984,25,0.3471851646900177,internal,21-24 yrs,117,461957,22.528820037841797,1,0.10202117264270782,1.2999999523162842,0.5099999904632568,1.2400000095367432,3.0399999618530273,25.3270320892334 +1985,25,0.2885448634624481,MVA,15-17 yrs,68,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,24.978878021240234 +1985,25,0.2885448634624481,suicide,15-17 yrs,22,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,8.081401824951172 +1985,25,0.2885448634624481,homicide,15-17 yrs,8,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,2.9386916160583496 +1985,25,0.2885448634624481,other external,15-17 yrs,11,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,4.040700912475586 +1985,25,0.2885448634624481,internal,15-17 yrs,51,272230,16.009675979614258,0,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,18.734159469604492 +1985,25,0.2885448634624481,all,18-20 yrs,250,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,78.77812194824219 +1985,25,0.2885448634624481,MVA,18-20 yrs,103,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,32.45658493041992 +1985,25,0.2885448634624481,suicide,18-20 yrs,32,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,10.083599090576172 +1985,25,0.2885448634624481,homicide,18-20 yrs,16,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,5.041799545288086 +1985,25,0.2885448634624481,other external,18-20 yrs,33,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,10.398712158203125 +1985,25,0.2885448634624481,internal,18-20 yrs,66,317347,19.03770637512207,0.2885448634624481,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,20.79742431640625 +1985,25,0.2885448634624481,all,21-24 yrs,340,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,74.19287872314453 +1985,25,0.2885448634624481,MVA,21-24 yrs,112,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,24.44000816345215 +1985,25,0.2885448634624481,suicide,21-24 yrs,55,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,12.001789093017578 +1985,25,0.2885448634624481,homicide,21-24 yrs,33,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,7.20107364654541 +1985,25,0.2885448634624481,other external,21-24 yrs,44,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,9.601431846618652 +1985,25,0.2885448634624481,internal,21-24 yrs,96,458265,22.539363861083984,1,0.09851301461458206,1.2999999523162842,0.5099999904632568,1.2100000381469727,3.009999990463257,20.948577880859375 +1986,25,0.029816845431923866,MVA,15-17 yrs,79,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,29.26055908203125 +1986,25,0.029816845431923866,suicide,15-17 yrs,16,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,5.926189422607422 +1986,25,0.029816845431923866,homicide,15-17 yrs,11,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,4.074254989624023 +1986,25,0.029816845431923866,other external,15-17 yrs,25,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,9.259671211242676 +1986,25,0.029816845431923866,internal,15-17 yrs,48,269988,16.00982666015625,0,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,17.778568267822266 +1986,25,0.029816845431923866,all,18-20 yrs,208,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,67.13597106933594 +1986,25,0.029816845431923866,MVA,18-20 yrs,76,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,24.53045082092285 +1986,25,0.029816845431923866,suicide,18-20 yrs,26,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,8.391996383666992 +1986,25,0.029816845431923866,homicide,18-20 yrs,25,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,8.06922721862793 +1986,25,0.029816845431923866,other external,18-20 yrs,29,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,9.36030387878418 +1986,25,0.029816845431923866,internal,18-20 yrs,52,309819,19.034542083740234,0.029816845431923866,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,16.783992767333984 +1986,25,0.029816845431923866,all,21-24 yrs,333,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,74.53416442871094 +1986,25,0.029816845431923866,MVA,21-24 yrs,113,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,25.292373657226562 +1986,25,0.029816845431923866,suicide,21-24 yrs,50,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,11.191315650939941 +1986,25,0.029816845431923866,homicide,21-24 yrs,31,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,6.938615798950195 +1986,25,0.029816845431923866,other external,21-24 yrs,34,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,7.6100945472717285 +1986,25,0.029816845431923866,internal,21-24 yrs,105,446775,22.52711296081543,1,0.09671533107757568,1.309999942779541,0.5299999713897705,1.1200000047683716,2.9600000381469727,23.50176239013672 +1987,25,0,MVA,15-17 yrs,57,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,21.94426155090332 +1987,25,0,suicide,15-17 yrs,14,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.3898186683654785 +1987,25,0,homicide,15-17 yrs,10,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,3.849870443344116 +1987,25,0,other external,15-17 yrs,15,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.774805545806885 +1987,25,0,internal,15-17 yrs,40,259749,16.046594619750977,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,15.399481773376465 +1987,25,0,all,18-20 yrs,216,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,70.43791961669922 +1987,25,0,MVA,18-20 yrs,93,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,30.327438354492188 +1987,25,0,suicide,18-20 yrs,31,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,10.109146118164062 +1987,25,0,homicide,18-20 yrs,18,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.869826793670654 +1987,25,0,other external,18-20 yrs,27,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,8.804739952087402 +1987,25,0,internal,18-20 yrs,47,306653,19.028560638427734,0,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,15.326769828796387 +1987,25,0,all,21-24 yrs,334,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,76.69873809814453 +1987,25,0,MVA,21-24 yrs,92,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,21.126598358154297 +1987,25,0,suicide,21-24 yrs,56,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,12.859668731689453 +1987,25,0,homicide,21-24 yrs,22,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,5.052012920379639 +1987,25,0,other external,21-24 yrs,56,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,12.859668731689453 +1987,25,0,internal,21-24 yrs,108,435470,22.52214241027832,1,0.09330985695123672,1.2899999618530273,0.5099999904632568,1.1200000047683716,2.930000066757202,24.800790786743164 +1988,25,0,MVA,15-17 yrs,48,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,19.716493606567383 +1988,25,0,suicide,15-17 yrs,13,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,5.339883804321289 +1988,25,0,homicide,15-17 yrs,7,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,2.875321865081787 +1988,25,0,other external,15-17 yrs,12,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,4.929123401641846 +1988,25,0,internal,15-17 yrs,30,243451,16.07392120361328,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,12.322808265686035 +1988,25,0,all,18-20 yrs,244,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,79.06419372558594 +1988,25,0,MVA,18-20 yrs,92,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,29.81108856201172 +1988,25,0,suicide,18-20 yrs,41,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,13.28537654876709 +1988,25,0,homicide,18-20 yrs,22,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,7.1287384033203125 +1988,25,0,other external,18-20 yrs,40,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,12.961342811584473 +1988,25,0,internal,18-20 yrs,49,308610,19.01994514465332,0,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,15.877644538879395 +1988,25,0,all,21-24 yrs,326,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,75.82611846923828 +1988,25,0,MVA,21-24 yrs,87,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,20.23580551147461 +1988,25,0,suicide,21-24 yrs,43,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,10.001605033874512 +1988,25,0,homicide,21-24 yrs,42,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,9.769009590148926 +1988,25,0,other external,21-24 yrs,44,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,10.234200477600098 +1988,25,0,internal,21-24 yrs,110,429931,22.52949333190918,1,0.08960270136594772,1.2899999618530273,0.5,1.0700000524520874,2.859999895095825,25.585500717163086 +1989,25,0,MVA,15-17 yrs,43,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,19.131772994995117 +1989,25,0,suicide,15-17 yrs,10,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,4.449249744415283 +1989,25,0,homicide,15-17 yrs,15,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.673874378204346 +1989,25,0,other external,15-17 yrs,15,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.673874378204346 +1989,25,0,internal,15-17 yrs,33,224757,16.054534912109375,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,14.682523727416992 +1989,25,0,all,18-20 yrs,223,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,71.68389892578125 +1989,25,0,MVA,18-20 yrs,90,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,28.930721282958984 +1989,25,0,suicide,18-20 yrs,30,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.643573760986328 +1989,25,0,homicide,18-20 yrs,20,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.429049015045166 +1989,25,0,other external,18-20 yrs,19,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,6.107596397399902 +1989,25,0,internal,18-20 yrs,64,311088,19.021398544311523,0,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,20.572956085205078 +1989,25,0,all,21-24 yrs,321,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,76.57991027832031 +1989,25,0,MVA,21-24 yrs,86,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,20.516735076904297 +1989,25,0,suicide,21-24 yrs,39,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.30410099029541 +1989,25,0,homicide,21-24 yrs,34,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,8.11126708984375 +1989,25,0,other external,21-24 yrs,41,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,9.7812347412109375 +1989,25,0,internal,21-24 yrs,121,419170,22.524768829345703,1,0.08548387140035629,1.2599999904632568,0.4699999988079071,1.0199999809265137,2.75,28.86656951904297 +1990,25,0,MVA,15-17 yrs,45,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,21.144033432006836 +1990,25,0,suicide,15-17 yrs,7,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,3.289071798324585 +1990,25,0,homicide,15-17 yrs,20,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,9.397348403930664 +1990,25,0,other external,15-17 yrs,9,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,4.228806495666504 +1990,25,0,internal,15-17 yrs,42,212826,16.03131103515625,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,19.73443031311035 +1990,25,0,all,18-20 yrs,205,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,68.13211822509766 +1990,25,0,MVA,18-20 yrs,77,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,25.591087341308594 +1990,25,0,suicide,18-20 yrs,26,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,8.641146659851074 +1990,25,0,homicide,18-20 yrs,40,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,13.294071197509766 +1990,25,0,other external,18-20 yrs,18,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,5.982332229614258 +1990,25,0,internal,18-20 yrs,44,300886,19.067787170410156,0,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,14.623478889465332 +1990,25,0,all,21-24 yrs,281,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,68.65128326416016 +1990,25,0,MVA,21-24 yrs,75,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,18.32329559326172 +1990,25,0,suicide,21-24 yrs,46,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,11.238287925720215 +1990,25,0,homicide,21-24 yrs,42,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,10.261045455932617 +1990,25,0,other external,21-24 yrs,37,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,9.0394926071167 +1990,25,0,internal,21-24 yrs,81,409315,22.50937271118164,1,0.08110176026821136,1.2200000286102295,0.44999998807907104,0.9700000286102295,2.630000114440918,19.789159774780273 +1991,25,0,MVA,15-17 yrs,28,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.581552505493164 +1991,25,0,suicide,15-17 yrs,9,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,4.365499019622803 +1991,25,0,homicide,15-17 yrs,17,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,8.245942115783691 +1991,25,0,other external,15-17 yrs,8,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,3.880443572998047 +1991,25,0,internal,15-17 yrs,25,206162,16.018203735351562,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,12.126385688781738 +1991,25,0,all,18-20 yrs,188,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,70.42411804199219 +1991,25,0,MVA,18-20 yrs,73,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,27.345535278320312 +1991,25,0,suicide,18-20 yrs,26,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,9.739505767822266 +1991,25,0,homicide,18-20 yrs,37,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.860065460205078 +1991,25,0,other external,18-20 yrs,15,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,5.618945598602295 +1991,25,0,internal,18-20 yrs,37,266954,19.116413116455078,0,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,13.860065460205078 +1991,25,0,all,21-24 yrs,281,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,70.10646057128906 +1991,25,0,MVA,21-24 yrs,68,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,16.96526336669922 +1991,25,0,suicide,21-24 yrs,32,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,7.983653545379639 +1991,25,0,homicide,21-24 yrs,45,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,11.227012634277344 +1991,25,0,other external,21-24 yrs,33,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,8.233142852783203 +1991,25,0,internal,21-24 yrs,103,400819,22.489299774169922,1,0.07782672345638275,1.190000057220459,0.4300000071525574,0.8700000047683716,2.490000009536743,25.697383880615234 +1992,25,0,MVA,15-17 yrs,31,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,15.154255867004395 +1992,25,0,suicide,15-17 yrs,10,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,4.888469696044922 +1992,25,0,homicide,15-17 yrs,15,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,7.332704544067383 +1992,25,0,other external,15-17 yrs,7,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,3.421928644180298 +1992,25,0,internal,15-17 yrs,30,204563,16.007678985595703,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,14.665409088134766 +1992,25,0,all,18-20 yrs,119,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,50.84905242919922 +1992,25,0,MVA,18-20 yrs,36,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,15.382905960083008 +1992,25,0,suicide,18-20 yrs,16,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,6.836847305297852 +1992,25,0,homicide,18-20 yrs,28,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,11.964482307434082 +1992,25,0,other external,18-20 yrs,11,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,4.7003326416015625 +1992,25,0,internal,18-20 yrs,28,234026,19.087589263916016,0,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,11.964482307434082 +1992,25,0,all,21-24 yrs,258,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,64.94160461425781 +1992,25,0,MVA,21-24 yrs,58,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,14.599274635314941 +1992,25,0,suicide,21-24 yrs,54,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,13.592428207397461 +1992,25,0,homicide,21-24 yrs,41,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,10.32017707824707 +1992,25,0,other external,21-24 yrs,32,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,8.05477237701416 +1992,25,0,internal,21-24 yrs,73,397280,22.48894500732422,1,0.07555238157510757,1.1200000047683716,0.4399999976158142,0.8199999928474426,2.380000114440918,18.374950408935547 +1993,25,0,MVA,15-17 yrs,29,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,14.104921340942383 +1993,25,0,suicide,15-17 yrs,8,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,3.891012668609619 +1993,25,0,homicide,15-17 yrs,20,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.727531433105469 +1993,25,0,other external,15-17 yrs,15,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.29564905166626 +1993,25,0,internal,15-17 yrs,34,205602,15.989946365356445,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,16.53680419921875 +1993,25,0,all,18-20 yrs,141,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,65.25089263916016 +1993,25,0,MVA,18-20 yrs,42,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,19.43643569946289 +1993,25,0,suicide,18-20 yrs,23,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.643762588500977 +1993,25,0,homicide,18-20 yrs,24,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,11.106534957885742 +1993,25,0,other external,18-20 yrs,15,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,6.94158411026001 +1993,25,0,internal,18-20 yrs,37,216089,19.032894134521484,0,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,17.122573852539062 +1993,25,0,all,21-24 yrs,210,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,54.79151916503906 +1993,25,0,MVA,21-24 yrs,51,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,13.306511878967285 +1993,25,0,suicide,21-24 yrs,28,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.305535793304443 +1993,25,0,homicide,21-24 yrs,33,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,8.610095977783203 +1993,25,0,other external,21-24 yrs,40,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.436479568481445 +1993,25,0,internal,21-24 yrs,58,383271,22.550796508789062,1,0.07335639744997025,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.132895469665527 +1994,25,0,MVA,15-17 yrs,26,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,12.328001022338867 +1994,25,0,suicide,15-17 yrs,12,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,5.689846515655518 +1994,25,0,homicide,15-17 yrs,19,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.008923530578613 +1994,25,0,other external,15-17 yrs,11,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,5.215692520141602 +1994,25,0,internal,15-17 yrs,32,210902,15.987628936767578,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.172924041748047 +1994,25,0,all,18-20 yrs,138,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,65.63365173339844 +1994,25,0,MVA,18-20 yrs,40,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,19.024246215820312 +1994,25,0,suicide,18-20 yrs,19,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.036517143249512 +1994,25,0,homicide,18-20 yrs,33,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,15.695003509521484 +1994,25,0,other external,18-20 yrs,16,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,7.60969877243042 +1994,25,0,internal,18-20 yrs,30,210258,19.026439666748047,0,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,14.268184661865234 +1994,25,0,all,21-24 yrs,238,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,66.650238037109375 +1994,25,0,MVA,21-24 yrs,49,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,13.722107887268066 +1994,25,0,suicide,21-24 yrs,34,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,9.521462440490723 +1994,25,0,homicide,21-24 yrs,38,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,10.641634941101074 +1994,25,0,other external,21-24 yrs,32,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,8.961376190185547 +1994,25,0,internal,21-24 yrs,85,357088,22.630752563476562,1,0.0715249702334404,1.1399999856948853,0.4399999976158142,0.800000011920929,2.380000114440918,23.80365562438965 +1995,25,0,MVA,15-17 yrs,31,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,14.295991897583008 +1995,25,0,suicide,15-17 yrs,13,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,5.99509334564209 +1995,25,0,homicide,15-17 yrs,16,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,7.378576278686523 +1995,25,0,other external,15-17 yrs,6,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,2.7669661045074463 +1995,25,0,internal,15-17 yrs,35,216844,15.980345726013184,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,16.140636444091797 +1995,25,0,all,18-20 yrs,128,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,60.69831466674805 +1995,25,0,MVA,18-20 yrs,24,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,11.38093376159668 +1995,25,0,suicide,18-20 yrs,21,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,9.958317756652832 +1995,25,0,homicide,18-20 yrs,27,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,12.803550720214844 +1995,25,0,other external,18-20 yrs,17,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,8.061494827270508 +1995,25,0,internal,18-20 yrs,39,210879,19.017108917236328,0,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,18.4940185546875 +1995,25,0,all,21-24 yrs,223,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,68.04527282714844 +1995,25,0,MVA,21-24 yrs,45,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,13.731108665466309 +1995,25,0,suicide,21-24 yrs,39,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,11.900294303894043 +1995,25,0,homicide,21-24 yrs,30,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,9.154071807861328 +1995,25,0,other external,21-24 yrs,26,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,7.933529376983643 +1995,25,0,internal,21-24 yrs,83,327723,22.651037216186523,1,0.06955380737781525,1.1299999952316284,0.4399999976158142,0.7799999713897705,2.3499999046325684,25.32626724243164 +1996,25,0,MVA,15-17 yrs,23,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,10.356534957885742 +1996,25,0,suicide,15-17 yrs,12,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,5.403409481048584 +1996,25,0,homicide,15-17 yrs,10,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,4.502841472625732 +1996,25,0,other external,15-17 yrs,8,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,3.6022729873657227 +1996,25,0,internal,15-17 yrs,30,222082,15.991971015930176,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,13.508523941040039 +1996,25,0,all,18-20 yrs,168,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,79.25874328613281 +1996,25,0,MVA,18-20 yrs,49,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,23.11713218688965 +1996,25,0,suicide,18-20 yrs,23,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,10.850898742675781 +1996,25,0,homicide,18-20 yrs,34,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,16.04046058654785 +1996,25,0,other external,18-20 yrs,20,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,9.435564994812012 +1996,25,0,internal,18-20 yrs,42,211964,19.003684997558594,0,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,19.814685821533203 +1996,25,0,all,21-24 yrs,179,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,59.83460235595703 +1996,25,0,MVA,21-24 yrs,41,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,13.705132484436035 +1996,25,0,suicide,21-24 yrs,21,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,7.019701957702637 +1996,25,0,homicide,21-24 yrs,27,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,9.025331497192383 +1996,25,0,other external,21-24 yrs,20,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,6.685430526733398 +1996,25,0,internal,21-24 yrs,70,299158,22.584243774414062,1,0.06755895912647247,1.1100000143051147,0.47999998927116394,0.7699999809265137,2.3499999046325684,23.399005889892578 +1970,26,0,MVA,15-17 yrs,160,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,29.38335418701172 +1970,26,0,suicide,15-17 yrs,30,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,5.509378910064697 +1970,26,0,homicide,15-17 yrs,35,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,6.427608489990234 +1970,26,0,other external,15-17 yrs,89,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,16.34449005126953 +1970,26,0,internal,15-17 yrs,122,544526,15.976740837097168,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,22.404808044433594 +1970,26,0,all,18-20 yrs,635,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,133.23876953125 +1970,26,0,MVA,18-20 yrs,230,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,48.25971221923828 +1970,26,0,suicide,18-20 yrs,46,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,9.651942253112793 +1970,26,0,homicide,18-20 yrs,100,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,20.98248291015625 +1970,26,0,other external,18-20 yrs,79,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,16.576162338256836 +1970,26,0,internal,18-20 yrs,180,476588,18.947208404541016,0,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,37.768470764160156 +1970,26,0,all,21-24 yrs,834,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,149.976806640625 +1970,26,0,MVA,21-24 yrs,290,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,52.15020751953125 +1970,26,0,suicide,21-24 yrs,73,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,13.127466201782227 +1970,26,0,homicide,21-24 yrs,106,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,19.061800003051758 +1970,26,0,other external,21-24 yrs,101,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,18.16265869140625 +1970,26,0,internal,21-24 yrs,264,556086,22.42807960510254,1,0.5154639482498169,1.3700000047683716,0.23999999463558197,1.0700000524520874,2.680000066757202,47.47467041015625 +1971,26,0,MVA,15-17 yrs,189,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,33.866111755371094 +1971,26,0,suicide,15-17 yrs,24,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,4.300458908081055 +1971,26,0,homicide,15-17 yrs,55,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,9.855217933654785 +1971,26,0,other external,15-17 yrs,89,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,15.947534561157227 +1971,26,0,internal,15-17 yrs,155,558080,15.982193946838379,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,27.77379608154297 +1971,26,0,all,18-20 yrs,657,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,130.5750274658203 +1971,26,0,MVA,18-20 yrs,249,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,49.48733901977539 +1971,26,0,suicide,18-20 yrs,45,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,8.94349479675293 +1971,26,0,homicide,18-20 yrs,100,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,19.874433517456055 +1971,26,0,other external,18-20 yrs,83,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,16.495779037475586 +1971,26,0,internal,18-20 yrs,180,503159,18.971900939941406,0,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,35.77397918701172 +1971,26,0,all,21-24 yrs,923,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,151.91015625 +1971,26,0,MVA,21-24 yrs,289,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,47.56449890136719 +1971,26,0,suicide,21-24 yrs,93,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,15.306222915649414 +1971,26,0,homicide,21-24 yrs,153,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,25.18120574951172 +1971,26,0,other external,21-24 yrs,103,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,16.95205307006836 +1971,26,0,internal,21-24 yrs,285,607596,22.553302764892578,1,0.4938271641731262,1.350000023841858,0.2800000011920929,1.059999942779541,2.690000057220459,46.906166076660156 +1972,26,1,MVA,15-17 yrs,188,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,32.93877029418945 +1972,26,1,suicide,15-17 yrs,38,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,6.657836437225342 +1972,26,1,homicide,15-17 yrs,46,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,8.059486389160156 +1972,26,1,other external,15-17 yrs,106,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,18.57185935974121 +1972,26,1,internal,15-17 yrs,90,570756,15.975553512573242,0,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,15.768559455871582 +1972,26,1,all,18-20 yrs,798,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,153.37689208984375 +1972,26,1,MVA,18-20 yrs,336,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,64.579742431640625 +1972,26,1,suicide,18-20 yrs,60,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,11.532096862792969 +1972,26,1,homicide,18-20 yrs,86,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,16.529338836669922 +1972,26,1,other external,18-20 yrs,96,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,18.45135498046875 +1972,26,1,internal,18-20 yrs,220,520287,18.981861114501953,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,42.28435516357422 +1972,26,1,all,21-24 yrs,986,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,161.74514770507812 +1972,26,1,MVA,21-24 yrs,260,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,42.650848388671875 +1972,26,1,suicide,21-24 yrs,104,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,17.060338973999023 +1972,26,1,homicide,21-24 yrs,208,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,34.12067794799805 +1972,26,1,other external,21-24 yrs,136,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,22.309675216674805 +1972,26,1,internal,21-24 yrs,278,609601,22.49683952331543,1,0.4784689247608185,1.3700000047683716,0.27000001072883606,1.059999942779541,2.700000047683716,45.603599548339844 +1973,26,1,MVA,15-17 yrs,186,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,31.994054794311523 +1973,26,1,suicide,15-17 yrs,33,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,5.676364421844482 +1973,26,1,homicide,15-17 yrs,39,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,6.708430767059326 +1973,26,1,other external,15-17 yrs,116,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,19.95328140258789 +1973,26,1,internal,15-17 yrs,142,581358,15.981640815734863,0,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,24.425569534301758 +1973,26,1,all,18-20 yrs,826,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,155.31834411621094 +1973,26,1,MVA,18-20 yrs,289,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,54.342613220214844 +1973,26,1,suicide,18-20 yrs,70,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,13.16257095336914 +1973,26,1,homicide,18-20 yrs,106,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,19.93189239501953 +1973,26,1,other external,18-20 yrs,144,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,27.077289581298828 +1973,26,1,internal,18-20 yrs,217,531811,18.984643936157227,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,40.80397033691406 +1973,26,1,all,21-24 yrs,963,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,154.45835876464844 +1973,26,1,MVA,21-24 yrs,262,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,42.0229377746582 +1973,26,1,suicide,21-24 yrs,118,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,18.926361083984375 +1973,26,1,homicide,21-24 yrs,180,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,28.8707218170166 +1973,26,1,other external,21-24 yrs,154,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,24.70050621032715 +1973,26,1,internal,21-24 yrs,249,623469,22.471942901611328,1,0.45045045018196106,1.409999966621399,0.2800000011920929,1.0399999618530273,2.7300000190734863,39.93783187866211 +1974,26,1,MVA,15-17 yrs,217,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,37.02888488769531 +1974,26,1,suicide,15-17 yrs,42,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,7.1668806076049805 +1974,26,1,homicide,15-17 yrs,46,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,7.849441051483154 +1974,26,1,other external,15-17 yrs,107,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,18.258481979370117 +1974,26,1,internal,15-17 yrs,103,586029,15.999245643615723,0,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,17.5759220123291 +1974,26,1,all,18-20 yrs,766,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,140.87693786621094 +1974,26,1,MVA,18-20 yrs,267,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,49.10462188720703 +1974,26,1,suicide,18-20 yrs,69,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,12.689958572387695 +1974,26,1,homicide,18-20 yrs,130,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,23.90861701965332 +1974,26,1,other external,18-20 yrs,135,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,24.82818031311035 +1974,26,1,internal,18-20 yrs,165,543737,18.99169921875,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,30.345552444458008 +1974,26,1,all,21-24 yrs,977,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,153.15711975097656 +1974,26,1,MVA,21-24 yrs,228,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,35.741886138916016 +1974,26,1,suicide,21-24 yrs,111,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,17.40065574645996 +1974,26,1,homicide,21-24 yrs,209,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,32.763397216796875 +1974,26,1,other external,21-24 yrs,146,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,22.887348175048828 +1974,26,1,internal,21-24 yrs,283,637907,22.460243225097656,1,0.40567952394485474,1.399999976158142,0.2800000011920929,1.0499999523162842,2.740000009536743,44.363834381103516 +1975,26,1,MVA,15-17 yrs,177,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,30.667192459106445 +1975,26,1,suicide,15-17 yrs,40,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,6.930438995361328 +1975,26,1,homicide,15-17 yrs,62,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,10.742180824279785 +1975,26,1,other external,15-17 yrs,98,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,16.979576110839844 +1975,26,1,internal,15-17 yrs,115,577164,16.006656646728516,0,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,19.925012588500977 +1975,26,1,all,18-20 yrs,764,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,138.0309600830078 +1975,26,1,MVA,18-20 yrs,282,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,50.94860076904297 +1975,26,1,suicide,18-20 yrs,74,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,13.369491577148438 +1975,26,1,homicide,18-20 yrs,89,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,16.07952308654785 +1975,26,1,other external,18-20 yrs,132,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,23.848281860351562 +1975,26,1,internal,18-20 yrs,187,553499,18.984601974487305,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,33.785064697265625 +1975,26,1,all,21-24 yrs,1072,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,163.3984375 +1975,26,1,MVA,21-24 yrs,265,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,40.392337799072266 +1975,26,1,suicide,21-24 yrs,125,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,19.052989959716797 +1975,26,1,homicide,21-24 yrs,199,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,30.332361221313477 +1975,26,1,other external,21-24 yrs,154,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,23.473283767700195 +1975,26,1,internal,21-24 yrs,329,656065,22.467391967773438,1,0.371747225522995,1.4299999475479126,0.28999999165534973,1.0499999523162842,2.7699999809265137,50.14746856689453 +1976,26,1,MVA,15-17 yrs,195,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,34.11327362060547 +1976,26,1,suicide,15-17 yrs,36,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,6.297835350036621 +1976,26,1,homicide,15-17 yrs,52,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,9.09687328338623 +1976,26,1,other external,15-17 yrs,65,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,11.37109088897705 +1976,26,1,internal,15-17 yrs,97,571625,15.997565269470215,0,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,16.969167709350586 +1976,26,1,all,18-20 yrs,737,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,131.35943603515625 +1976,26,1,MVA,18-20 yrs,295,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,52.57942199707031 +1976,26,1,suicide,18-20 yrs,83,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,14.793532371520996 +1976,26,1,homicide,18-20 yrs,94,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,16.754119873046875 +1976,26,1,other external,18-20 yrs,113,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,20.140592575073242 +1976,26,1,internal,18-20 yrs,152,561056,18.99004364013672,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,27.09177017211914 +1976,26,1,all,21-24 yrs,983,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,146.78652954101562 +1976,26,1,MVA,21-24 yrs,274,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,40.91506576538086 +1976,26,1,suicide,21-24 yrs,145,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,21.652132034301758 +1976,26,1,homicide,21-24 yrs,175,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,26.13188362121582 +1976,26,1,other external,21-24 yrs,124,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,18.516305923461914 +1976,26,1,internal,21-24 yrs,265,669680,22.470664978027344,1,0.35149383544921875,1.4299999475479126,0.30000001192092896,1.059999942779541,2.7899999618530273,39.57114028930664 +1977,26,1,MVA,15-17 yrs,197,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,34.84185028076172 +1977,26,1,suicide,15-17 yrs,50,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,8.843109130859375 +1977,26,1,homicide,15-17 yrs,33,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,5.836452007293701 +1977,26,1,other external,15-17 yrs,71,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,12.557214736938477 +1977,26,1,internal,15-17 yrs,94,565412,16.0000057220459,0,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,16.625045776367188 +1977,26,1,all,18-20 yrs,713,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,126.24004364013672 +1977,26,1,MVA,18-20 yrs,323,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,57.188690185546875 +1977,26,1,suicide,18-20 yrs,78,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,13.810271263122559 +1977,26,1,homicide,18-20 yrs,91,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,16.111984252929688 +1977,26,1,other external,18-20 yrs,87,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,15.403764724731445 +1977,26,1,internal,18-20 yrs,134,564797,19.008214950561523,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,23.725337982177734 +1977,26,1,all,21-24 yrs,844,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,123.7652816772461 +1977,26,1,MVA,21-24 yrs,244,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,35.78048324584961 +1977,26,1,suicide,21-24 yrs,128,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,18.770090103149414 +1977,26,1,homicide,21-24 yrs,140,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,20.52978515625 +1977,26,1,other external,21-24 yrs,123,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,18.036882400512695 +1977,26,1,internal,21-24 yrs,209,681936,22.47255516052246,1,0.33003300428390503,1.4500000476837158,0.23999999463558197,1.0199999809265137,2.7100000381469727,30.64803695678711 +1978,26,0.9698629975318909,MVA,15-17 yrs,184,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,32.87181854248047 +1978,26,0.9698629975318909,suicide,15-17 yrs,37,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,6.610093593597412 +1978,26,0.9698629975318909,homicide,15-17 yrs,50,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,8.9325590133667 +1978,26,0.9698629975318909,other external,15-17 yrs,69,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,12.326931953430176 +1978,26,0.9698629975318909,internal,15-17 yrs,107,559750,16.013587951660156,0,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.115676879882812 +1978,26,0.9698629975318909,all,18-20 yrs,674,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,120.83811950683594 +1978,26,0.9698629975318909,MVA,18-20 yrs,269,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,48.22767639160156 +1978,26,0.9698629975318909,suicide,18-20 yrs,86,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,15.418514251708984 +1978,26,0.9698629975318909,homicide,18-20 yrs,71,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,12.729238510131836 +1978,26,0.9698629975318909,other external,18-20 yrs,101,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,18.107789993286133 +1978,26,0.9698629975318909,internal,18-20 yrs,147,557771,19.014747619628906,0.9698629975318909,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,26.354902267456055 +1978,26,0.9698629975318909,all,21-24 yrs,911,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,130.48529052734375 +1978,26,0.9698629975318909,MVA,21-24 yrs,294,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,42.110511779785156 +1978,26,0.9698629975318909,suicide,21-24 yrs,138,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.766157150268555 +1978,26,0.9698629975318909,homicide,21-24 yrs,137,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,19.6229248046875 +1978,26,0.9698629975318909,other external,21-24 yrs,111,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,15.898865699768066 +1978,26,0.9698629975318909,internal,21-24 yrs,231,698163,22.46852684020996,1,0.30674847960472107,1.4299999475479126,0.25,1.0499999523162842,2.740000009536743,33.086830139160156 +1979,26,0,MVA,15-17 yrs,184,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,33.48626708984375 +1979,26,0,suicide,15-17 yrs,40,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,7.279623031616211 +1979,26,0,homicide,15-17 yrs,41,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,7.461613655090332 +1979,26,0,other external,15-17 yrs,55,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,10.009481430053711 +1979,26,0,internal,15-17 yrs,106,549479,16.00739860534668,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,19.291000366210938 +1979,26,0,all,18-20 yrs,570,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,102.87397766113281 +1979,26,0,MVA,18-20 yrs,241,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,43.4958381652832 +1979,26,0,suicide,18-20 yrs,71,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,12.814126968383789 +1979,26,0,homicide,18-20 yrs,63,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,11.370281219482422 +1979,26,0,other external,18-20 yrs,88,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,15.88229751586914 +1979,26,0,internal,18-20 yrs,107,554076,19.00558090209961,0,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,19.311429977416992 +1979,26,0,all,21-24 yrs,840,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,118.29719543457031 +1979,26,0,MVA,21-24 yrs,250,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,35.20750045776367 +1979,26,0,suicide,21-24 yrs,143,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,20.138689041137695 +1979,26,0,homicide,21-24 yrs,131,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,18.448728561401367 +1979,26,0,other external,21-24 yrs,112,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,15.77295970916748 +1979,26,0,internal,21-24 yrs,204,710076,22.47182846069336,1,0.2754821181297302,1.3700000047683716,0.25,1.0299999713897705,2.6500000953674316,28.729318618774414 +1980,26,0,MVA,15-17 yrs,162,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,30.337305068969727 +1980,26,0,suicide,15-17 yrs,33,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,6.179821491241455 +1980,26,0,homicide,15-17 yrs,34,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,6.367088794708252 +1980,26,0,other external,15-17 yrs,58,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,10.861504554748535 +1980,26,0,internal,15-17 yrs,85,533996,16.01267433166504,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,15.917722702026367 +1980,26,0,all,18-20 yrs,535,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,98.441497802734375 +1980,26,0,MVA,18-20 yrs,213,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,39.192596435546875 +1980,26,0,suicide,18-20 yrs,64,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,11.776179313659668 +1980,26,0,homicide,18-20 yrs,78,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,14.352218627929688 +1980,26,0,other external,18-20 yrs,65,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,11.960182189941406 +1980,26,0,internal,18-20 yrs,115,543470,19.006940841674805,0,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,21.160322189331055 +1980,26,0,all,21-24 yrs,859,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,120.87372589111328 +1980,26,0,MVA,21-24 yrs,280,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,39.40005111694336 +1980,26,0,suicide,21-24 yrs,109,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,15.337876319885254 +1980,26,0,homicide,21-24 yrs,161,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,22.655029296875 +1980,26,0,other external,21-24 yrs,102,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,14.352875709533691 +1980,26,0,internal,21-24 yrs,207,710659,22.484960556030273,1,0.24271844327449799,1.340000033378601,0.2800000011920929,1.0299999713897705,2.6500000953674316,29.127893447875977 +1981,26,0,MVA,15-17 yrs,118,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,23.049396514892578 +1981,26,0,suicide,15-17 yrs,27,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,5.274014472961426 +1981,26,0,homicide,15-17 yrs,31,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,6.055349826812744 +1981,26,0,other external,15-17 yrs,40,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,7.8133544921875 +1981,26,0,internal,15-17 yrs,67,511944,16.0252685546875,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,13.087368965148926 +1981,26,0,all,18-20 yrs,480,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,90.4540786743164 +1981,26,0,MVA,18-20 yrs,174,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,32.78960418701172 +1981,26,0,suicide,18-20 yrs,63,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,11.872097969055176 +1981,26,0,homicide,18-20 yrs,76,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,14.321895599365234 +1981,26,0,other external,18-20 yrs,51,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,9.610746383666992 +1981,26,0,internal,18-20 yrs,116,530656,19.013139724731445,0,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,21.8597354888916 +1981,26,0,all,21-24 yrs,725,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,103.40818786621094 +1981,26,0,MVA,21-24 yrs,217,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,30.951141357421875 +1981,26,0,suicide,21-24 yrs,116,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,16.545310974121094 +1981,26,0,homicide,21-24 yrs,113,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,16.117414474487305 +1981,26,0,other external,21-24 yrs,84,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,11.981086730957031 +1981,26,0,internal,21-24 yrs,195,701105,22.50847816467285,1,0.22002200782299042,1.340000033378601,0.28999999165534973,1,2.630000114440918,27.8132381439209 +1982,26,0,MVA,15-17 yrs,94,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,19.386600494384766 +1982,26,0,suicide,15-17 yrs,24,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,4.949769973754883 +1982,26,0,homicide,15-17 yrs,35,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,7.218414783477783 +1982,26,0,other external,15-17 yrs,35,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,7.218414783477783 +1982,26,0,internal,15-17 yrs,77,484871,16.01796531677246,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,15.880512237548828 +1982,26,0,all,18-20 yrs,497,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,96.4073257446289 +1982,26,0,MVA,18-20 yrs,188,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,36.467960357666016 +1982,26,0,suicide,18-20 yrs,80,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,15.518281936645508 +1982,26,0,homicide,18-20 yrs,57,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,11.05677604675293 +1982,26,0,other external,18-20 yrs,67,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,12.996561050415039 +1982,26,0,internal,18-20 yrs,105,515521,19.007797241210938,0,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,20.36774444580078 +1982,26,0,all,21-24 yrs,656,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,95.96269226074219 +1982,26,0,MVA,21-24 yrs,171,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,25.014665603637695 +1982,26,0,suicide,21-24 yrs,99,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,14.48217487335205 +1982,26,0,homicide,21-24 yrs,125,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,18.285573959350586 +1982,26,0,other external,21-24 yrs,74,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,10.82505989074707 +1982,26,0,internal,21-24 yrs,187,683599,22.506418228149414,1,0.20725388824939728,1.350000023841858,0.38999998569488525,0.9800000190734863,2.7200000286102295,27.3552188873291 +1983,26,0,MVA,15-17 yrs,111,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,23.919321060180664 +1983,26,0,suicide,15-17 yrs,36,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,7.757617473602295 +1983,26,0,homicide,15-17 yrs,48,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,10.343489646911621 +1983,26,0,other external,15-17 yrs,34,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,7.326638698577881 +1983,26,0,internal,15-17 yrs,74,464060,16.009286880493164,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,15.946213722229004 +1983,26,0,all,18-20 yrs,476,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,95.50044250488281 +1983,26,0,MVA,18-20 yrs,169,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,33.90666961669922 +1983,26,0,suicide,18-20 yrs,51,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,10.232190132141113 +1983,26,0,homicide,18-20 yrs,85,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,17.05364990234375 +1983,26,0,other external,18-20 yrs,67,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,13.442289352416992 +1983,26,0,internal,18-20 yrs,104,498427,19.017919540405273,0,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,20.865642547607422 +1983,26,0,all,21-24 yrs,683,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,102.70445251464844 +1983,26,0,MVA,21-24 yrs,187,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,28.119667053222656 +1983,26,0,suicide,21-24 yrs,123,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,18.49582290649414 +1983,26,0,homicide,21-24 yrs,122,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,18.34545135498047 +1983,26,0,other external,21-24 yrs,78,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,11.729059219360352 +1983,26,0,internal,21-24 yrs,173,665015,22.504581451416016,1,0.2008032202720642,1.350000023841858,0.2800000011920929,0.9700000286102295,2.5999999046325684,26.014450073242188 +1984,26,0,MVA,15-17 yrs,121,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,26.480501174926758 +1984,26,0,suicide,15-17 yrs,40,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,8.753884315490723 +1984,26,0,homicide,15-17 yrs,33,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,7.221954822540283 +1984,26,0,other external,15-17 yrs,35,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,7.659648895263672 +1984,26,0,internal,15-17 yrs,66,456940,16.001115798950195,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,14.443909645080566 +1984,26,0,all,18-20 yrs,468,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,97.33655548095703 +1984,26,0,MVA,18-20 yrs,176,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,36.605201721191406 +1984,26,0,suicide,18-20 yrs,60,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,12.479045867919922 +1984,26,0,homicide,18-20 yrs,87,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,18.094615936279297 +1984,26,0,other external,18-20 yrs,41,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,8.527347564697266 +1984,26,0,internal,18-20 yrs,104,480806,19.032556533813477,0,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,21.630346298217773 +1984,26,0,all,21-24 yrs,676,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,103.59026336669922 +1984,26,0,MVA,21-24 yrs,197,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,30.18828582763672 +1984,26,0,suicide,21-24 yrs,109,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,16.703163146972656 +1984,26,0,homicide,21-24 yrs,125,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,19.155004501342773 +1984,26,0,other external,21-24 yrs,70,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,10.726801872253418 +1984,26,0,internal,21-24 yrs,175,652571,22.50289535522461,1,0.1924927830696106,1.3200000524520874,0.3100000023841858,0.9700000286102295,2.5999999046325684,26.817005157470703 +1985,26,0,MVA,15-17 yrs,108,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,23.58284568786621 +1985,26,0,suicide,15-17 yrs,40,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,8.734387397766113 +1985,26,0,homicide,15-17 yrs,58,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,12.664861679077148 +1985,26,0,other external,15-17 yrs,42,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,9.171106338500977 +1985,26,0,internal,15-17 yrs,81,457960,15.98704719543457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,17.6871337890625 +1985,26,0,all,18-20 yrs,475,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,102.78448486328125 +1985,26,0,MVA,18-20 yrs,173,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,37.4351921081543 +1985,26,0,suicide,18-20 yrs,72,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,15.579964637756348 +1985,26,0,homicide,18-20 yrs,107,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,23.1535587310791 +1985,26,0,other external,18-20 yrs,46,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,9.953866004943848 +1985,26,0,internal,18-20 yrs,77,462132,19.02366828918457,0,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,16.66190528869629 +1985,26,0,all,21-24 yrs,672,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,104.21658325195312 +1985,26,0,MVA,21-24 yrs,193,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,29.931251525878906 +1985,26,0,suicide,21-24 yrs,89,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,13.802494049072266 +1985,26,0,homicide,21-24 yrs,135,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,20.93636703491211 +1985,26,0,other external,21-24 yrs,79,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,12.251651763916016 +1985,26,0,internal,21-24 yrs,176,644811,22.50504493713379,1,0.1858736127614975,1.2999999523162842,0.3199999928474426,0.949999988079071,2.5799999237060547,27.294818878173828 +1986,26,0,MVA,15-17 yrs,148,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,31.756454467773438 +1986,26,0,suicide,15-17 yrs,45,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,9.655678749084473 +1986,26,0,homicide,15-17 yrs,68,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,14.590803146362305 +1986,26,0,other external,15-17 yrs,35,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,7.509972095489502 +1986,26,0,internal,15-17 yrs,75,466047,15.987018585205078,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,16.092798233032227 +1986,26,0,all,18-20 yrs,488,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,108.59236907958984 +1986,26,0,MVA,18-20 yrs,187,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,41.612239837646484 +1986,26,0,suicide,18-20 yrs,58,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,12.90647029876709 +1986,26,0,homicide,18-20 yrs,106,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,23.58768653869629 +1986,26,0,other external,18-20 yrs,48,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,10.681217193603516 +1986,26,0,internal,18-20 yrs,89,449387,19.014245986938477,0,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,19.80475616455078 +1986,26,0,all,21-24 yrs,707,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,111.84974670410156 +1986,26,0,MVA,21-24 yrs,200,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,31.640663146972656 +1986,26,0,suicide,21-24 yrs,90,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,14.238298416137695 +1986,26,0,homicide,21-24 yrs,166,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,26.261751174926758 +1986,26,0,other external,21-24 yrs,79,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,12.498062133789062 +1986,26,0,internal,21-24 yrs,172,632098,22.511646270751953,1,0.18248175084590912,1.3300000429153442,0.33000001311302185,0.8999999761581421,2.559999942779541,27.210969924926758 +1987,26,0,MVA,15-17 yrs,137,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,29.90541648864746 +1987,26,0,suicide,15-17 yrs,40,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,8.731508255004883 +1987,26,0,homicide,15-17 yrs,77,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,16.80815315246582 +1987,26,0,other external,15-17 yrs,29,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,6.330343723297119 +1987,26,0,internal,15-17 yrs,84,458111,16.02957534790039,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,18.33616828918457 +1987,26,0,all,18-20 yrs,515,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,115.39038848876953 +1987,26,0,MVA,18-20 yrs,173,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,38.76220703125 +1987,26,0,suicide,18-20 yrs,74,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,16.580366134643555 +1987,26,0,homicide,18-20 yrs,138,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,30.920143127441406 +1987,26,0,other external,18-20 yrs,42,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,9.410478591918945 +1987,26,0,internal,18-20 yrs,88,446311,19.00412940979004,0,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,19.717193603515625 +1987,26,0,all,21-24 yrs,665,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,108.39234161376953 +1987,26,0,MVA,21-24 yrs,187,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,30.48025131225586 +1987,26,0,suicide,21-24 yrs,89,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,14.506643295288086 +1987,26,0,homicide,21-24 yrs,148,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,24.1234073638916 +1987,26,0,other external,21-24 yrs,91,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,14.832635879516602 +1987,26,0,internal,21-24 yrs,150,613512,22.527263641357422,1,0.17605634033679962,1.3200000524520874,0.33000001311302185,0.8500000238418579,2.5,24.449399948120117 +1988,26,0,MVA,15-17 yrs,117,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,26.742368698120117 +1988,26,0,suicide,15-17 yrs,50,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,11.428362846374512 +1988,26,0,homicide,15-17 yrs,59,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,13.485467910766602 +1988,26,0,other external,15-17 yrs,39,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,8.914122581481934 +1988,26,0,internal,15-17 yrs,64,437508,16.058992385864258,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,14.628303527832031 +1988,26,0,all,18-20 yrs,504,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,112.61739349365234 +1988,26,0,MVA,18-20 yrs,185,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,41.33773422241211 +1988,26,0,suicide,18-20 yrs,69,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,15.41785717010498 +1988,26,0,homicide,18-20 yrs,113,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,25.249534606933594 +1988,26,0,other external,18-20 yrs,40,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,8.937888145446777 +1988,26,0,internal,18-20 yrs,97,447533,18.98893928527832,0,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,21.674379348754883 +1988,26,0,all,21-24 yrs,596,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,100.60090637207031 +1988,26,0,MVA,21-24 yrs,192,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,32.40834426879883 +1988,26,0,suicide,21-24 yrs,80,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,13.503477096557617 +1988,26,0,homicide,21-24 yrs,121,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,20.424009323120117 +1988,26,0,other external,21-24 yrs,58,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,9.790020942687988 +1988,26,0,internal,21-24 yrs,145,592440,22.529983520507812,1,0.16906170547008514,1.309999942779541,0.3199999928474426,0.8399999737739563,2.4700000286102295,24.475051879882812 +1989,26,0,MVA,15-17 yrs,121,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,29.55768585205078 +1989,26,0,suicide,15-17 yrs,36,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,8.7940216064453125 +1989,26,0,homicide,15-17 yrs,81,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,19.786548614501953 +1989,26,0,other external,15-17 yrs,21,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,5.129846096038818 +1989,26,0,internal,15-17 yrs,58,409369,16.03847885131836,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,14.168146133422852 +1989,26,0,all,18-20 yrs,465,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,102.2717514038086 +1989,26,0,MVA,18-20 yrs,175,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,38.4893684387207 +1989,26,0,suicide,18-20 yrs,73,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,16.055564880371094 +1989,26,0,homicide,18-20 yrs,100,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,21.993925094604492 +1989,26,0,other external,18-20 yrs,31,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,6.818116664886475 +1989,26,0,internal,18-20 yrs,86,454671,18.986486434936523,0,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,18.914775848388672 +1989,26,0,all,21-24 yrs,575,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,101.26876831054688 +1989,26,0,MVA,21-24 yrs,166,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,29.23585319519043 +1989,26,0,suicide,21-24 yrs,85,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,14.970165252685547 +1989,26,0,homicide,21-24 yrs,130,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,22.89554786682129 +1989,26,0,other external,21-24 yrs,45,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,7.925381660461426 +1989,26,0,internal,21-24 yrs,149,567796,22.515682220458984,1,0.16129031777381897,1.2899999618530273,0.30000001192092896,0.800000011920929,2.380000114440918,26.241819381713867 +1990,26,0,MVA,15-17 yrs,99,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,25.022178649902344 +1990,26,0,suicide,15-17 yrs,34,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,8.593475341796875 +1990,26,0,homicide,15-17 yrs,77,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,19.461694717407227 +1990,26,0,other external,15-17 yrs,31,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,7.8352274894714355 +1990,26,0,internal,15-17 yrs,63,395649,16.017850875854492,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,15.92320442199707 +1990,26,0,all,18-20 yrs,470,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,104.17498016357422 +1990,26,0,MVA,18-20 yrs,153,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,33.91228103637695 +1990,26,0,suicide,18-20 yrs,54,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,11.969039916992188 +1990,26,0,homicide,18-20 yrs,128,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,28.371057510375977 +1990,26,0,other external,18-20 yrs,42,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,9.309253692626953 +1990,26,0,internal,18-20 yrs,93,451164,19.025699615478516,0,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,20.613346099853516 +1990,26,0,all,21-24 yrs,596,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,107.25674438476562 +1990,26,0,MVA,21-24 yrs,180,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,32.39297866821289 +1990,26,0,suicide,21-24 yrs,78,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,14.036956787109375 +1990,26,0,homicide,21-24 yrs,150,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,26.99414825439453 +1990,26,0,other external,21-24 yrs,48,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,8.638127326965332 +1990,26,0,internal,21-24 yrs,140,555676,22.491596221923828,1,0.15302219986915588,1.3300000429153442,0.2800000011920929,0.800000011920929,2.4200000762939453,25.194538116455078 +1991,26,0,MVA,15-17 yrs,95,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.240816116333008 +1991,26,0,suicide,15-17 yrs,28,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,7.1446614265441895 +1991,26,0,homicide,15-17 yrs,61,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,15.565155029296875 +1991,26,0,other external,15-17 yrs,33,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,8.420494079589844 +1991,26,0,internal,15-17 yrs,67,391901,16.01518440246582,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,17.096155166625977 +1991,26,0,all,18-20 yrs,497,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,114.17046356201172 +1991,26,0,MVA,18-20 yrs,139,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,31.930973052978516 +1991,26,0,suicide,18-20 yrs,62,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,14.242592811584473 +1991,26,0,homicide,18-20 yrs,161,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,36.984798431396484 +1991,26,0,other external,18-20 yrs,51,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,11.715681076049805 +1991,26,0,internal,18-20 yrs,84,435314,19.048133850097656,0,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,19.296415328979492 +1991,26,0,all,21-24 yrs,567,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,101.36095428466797 +1991,26,0,MVA,21-24 yrs,136,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.312328338623047 +1991,26,0,suicide,21-24 yrs,82,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,14.658903121948242 +1991,26,0,homicide,21-24 yrs,160,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,28.602737426757812 +1991,26,0,other external,21-24 yrs,51,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,9.117122650146484 +1991,26,0,internal,21-24 yrs,138,559387,22.469993591308594,1,0.14684288203716278,1.2999999523162842,0.2199999988079071,0.7400000095367432,2.259999990463257,24.669862747192383 +1992,26,0,MVA,15-17 yrs,81,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,20.47455406188965 +1992,26,0,suicide,15-17 yrs,42,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,10.616436004638672 +1992,26,0,homicide,15-17 yrs,58,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,14.660792350769043 +1992,26,0,other external,15-17 yrs,35,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,8.847029685974121 +1992,26,0,internal,15-17 yrs,66,395613,16.006887435913086,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,16.68297004699707 +1992,26,0,all,18-20 yrs,377,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,90.89155578613281 +1992,26,0,MVA,18-20 yrs,91,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,21.939340591430664 +1992,26,0,suicide,18-20 yrs,47,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,11.331308364868164 +1992,26,0,homicide,18-20 yrs,125,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,30.136457443237305 +1992,26,0,other external,18-20 yrs,38,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,9.161482810974121 +1992,26,0,internal,18-20 yrs,76,414780,19.03543472290039,0,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,18.322965621948242 +1992,26,0,all,21-24 yrs,616,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,108.70812225341797 +1992,26,0,MVA,21-24 yrs,154,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,27.177030563354492 +1992,26,0,suicide,21-24 yrs,89,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,15.706205368041992 +1992,26,0,homicide,21-24 yrs,169,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,29.82414436340332 +1992,26,0,other external,21-24 yrs,50,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,8.823711395263672 +1992,26,0,internal,21-24 yrs,154,566655,22.457454681396484,1,0.14485089480876923,1.2599999904632568,0.2199999988079071,0.7400000095367432,2.2100000381469727,27.177030563354492 +1993,26,0,MVA,15-17 yrs,89,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,22.217561721801758 +1993,26,0,suicide,15-17 yrs,33,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,8.237972259521484 +1993,26,0,homicide,15-17 yrs,68,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,16.975215911865234 +1993,26,0,other external,15-17 yrs,23,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,5.741617202758789 +1993,26,0,internal,15-17 yrs,73,400584,15.995356559753418,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,18.2233943939209 +1993,26,0,all,18-20 yrs,418,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,103.52710723876953 +1993,26,0,MVA,18-20 yrs,114,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.234664916992188 +1993,26,0,suicide,18-20 yrs,53,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,13.126642227172852 +1993,26,0,homicide,18-20 yrs,125,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,30.959062576293945 +1993,26,0,other external,18-20 yrs,42,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,10.402244567871094 +1993,26,0,internal,18-20 yrs,84,403759,19.013301849365234,0,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,20.804489135742188 +1993,26,0,all,21-24 yrs,589,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,104.41170501708984 +1993,26,0,MVA,21-24 yrs,160,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.36311149597168 +1993,26,0,suicide,21-24 yrs,86,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,15.245172500610352 +1993,26,0,homicide,21-24 yrs,159,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,28.185842514038086 +1993,26,0,other external,21-24 yrs,47,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,8.331664085388184 +1993,26,0,internal,21-24 yrs,137,564113,22.49117088317871,1,0.14064069092273712,1.25,0.20000000298023224,0.7200000286102295,2.180000066757202,24.285913467407227 +1994,26,0,MVA,15-17 yrs,108,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,26.223712921142578 +1994,26,0,suicide,15-17 yrs,29,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,7.041552543640137 +1994,26,0,homicide,15-17 yrs,63,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,15.297165870666504 +1994,26,0,other external,15-17 yrs,31,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,7.527176856994629 +1994,26,0,internal,15-17 yrs,67,411841,15.998088836669922,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,16.268413543701172 +1994,26,0,all,18-20 yrs,456,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,114.38835144042969 +1994,26,0,MVA,18-20 yrs,136,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,34.115821838378906 +1994,26,0,suicide,18-20 yrs,64,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,16.05450439453125 +1994,26,0,homicide,18-20 yrs,130,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,32.610713958740234 +1994,26,0,other external,18-20 yrs,34,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,8.528955459594727 +1994,26,0,internal,18-20 yrs,92,398642,19.010229110717773,0,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,23.078350067138672 +1994,26,0,all,21-24 yrs,596,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,107.92662811279297 +1994,26,0,MVA,21-24 yrs,150,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,27.162742614746094 +1994,26,0,suicide,21-24 yrs,94,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,17.02198600769043 +1994,26,0,homicide,21-24 yrs,162,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,29.33576202392578 +1994,26,0,other external,21-24 yrs,50,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,9.054247856140137 +1994,26,0,internal,21-24 yrs,140,552227,22.533763885498047,1,0.13712942600250244,1.2300000190734863,0.20000000298023224,0.6700000166893005,2.0999999046325684,25.351892471313477 +1995,26,0,MVA,15-17 yrs,95,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,22.305652618408203 +1995,26,0,suicide,15-17 yrs,30,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,7.043890476226807 +1995,26,0,homicide,15-17 yrs,64,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,15.026966094970703 +1995,26,0,other external,15-17 yrs,25,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,5.869908809661865 +1995,26,0,internal,15-17 yrs,69,425901,15.98646354675293,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,16.20094871520996 +1995,26,0,all,18-20 yrs,390,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,96.86962127685547 +1995,26,0,MVA,18-20 yrs,137,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,34.028560638427734 +1995,26,0,suicide,18-20 yrs,57,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,14.157867431640625 +1995,26,0,homicide,18-20 yrs,99,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,24.589981079101562 +1995,26,0,other external,18-20 yrs,31,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,7.699892997741699 +1995,26,0,internal,18-20 yrs,66,402603,18.999887466430664,0,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,16.393320083618164 +1995,26,0,all,21-24 yrs,555,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,104.17996215820312 +1995,26,0,MVA,21-24 yrs,156,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,29.283016204833984 +1995,26,0,suicide,21-24 yrs,65,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,12.20125675201416 +1995,26,0,homicide,21-24 yrs,145,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,27.218189239501953 +1995,26,0,other external,21-24 yrs,33,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,6.194484233856201 +1995,26,0,internal,21-24 yrs,156,532732,22.546003341674805,1,0.13335026800632477,1.2000000476837158,0.1899999976158142,0.6600000262260437,2.059999942779541,29.283016204833984 +1996,26,0,MVA,15-17 yrs,112,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,25.70021629333496 +1996,26,0,suicide,15-17 yrs,24,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,5.5071892738342285 +1996,26,0,homicide,15-17 yrs,51,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,11.702776908874512 +1996,26,0,other external,15-17 yrs,29,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,6.654520034790039 +1996,26,0,internal,15-17 yrs,62,435794,16.002111434936523,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,14.226905822753906 +1996,26,0,all,18-20 yrs,363,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,88.99458312988281 +1996,26,0,MVA,18-20 yrs,141,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,34.56814193725586 +1996,26,0,suicide,18-20 yrs,52,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,12.74853515625 +1996,26,0,homicide,18-20 yrs,81,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,19.858295440673828 +1996,26,0,other external,18-20 yrs,23,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,5.63877534866333 +1996,26,0,internal,18-20 yrs,66,407890,18.990041732788086,0,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,16.18083381652832 +1996,26,0,all,21-24 yrs,482,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,93.76337432861328 +1996,26,0,MVA,21-24 yrs,127,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,24.70528793334961 +1996,26,0,suicide,21-24 yrs,78,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,15.17332649230957 +1996,26,0,homicide,21-24 yrs,107,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,20.8146915435791 +1996,26,0,other external,21-24 yrs,36,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,7.003073692321777 +1996,26,0,internal,21-24 yrs,134,514060,22.514066696166992,1,0.12952569127082825,1.2000000476837158,0.2199999988079071,0.6700000166893005,2.0799999237060547,26.06699562072754 +1970,27,0,MVA,15-17 yrs,87,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,37.45221710205078 +1970,27,0,suicide,15-17 yrs,5,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,2.152426242828369 +1970,27,0,homicide,15-17 yrs,5,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,2.152426242828369 +1970,27,0,other external,15-17 yrs,47,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,20.232807159423828 +1970,27,0,internal,15-17 yrs,58,232296,15.983245849609375,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,24.968143463134766 +1970,27,0,all,18-20 yrs,259,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,127.06854248046875 +1970,27,0,MVA,18-20 yrs,116,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,56.911006927490234 +1970,27,0,suicide,18-20 yrs,17,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,8.34040641784668 +1970,27,0,homicide,18-20 yrs,7,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,3.4342849254608154 +1970,27,0,other external,18-20 yrs,54,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,26.49305534362793 +1970,27,0,internal,18-20 yrs,65,203827,18.93842887878418,0,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,31.889789581298828 +1970,27,0,all,21-24 yrs,288,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,125.32473754882812 +1970,27,0,MVA,21-24 yrs,130,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,56.570194244384766 +1970,27,0,suicide,21-24 yrs,26,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,11.314038276672363 +1970,27,0,homicide,21-24 yrs,8,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,3.4812426567077637 +1970,27,0,other external,21-24 yrs,44,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,19.146835327148438 +1970,27,0,internal,21-24 yrs,80,229803,22.429216384887695,1,0.25773197412490845,1.1399999856948853,0.1599999964237213,1.2300000190734863,2.5299999713897705,34.81242752075195 +1971,27,0,MVA,15-17 yrs,104,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,44.25456619262695 +1971,27,0,suicide,15-17 yrs,8,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,3.4041974544525146 +1971,27,0,homicide,15-17 yrs,2,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,0.8510493636131287 +1971,27,0,other external,15-17 yrs,43,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,18.297561645507812 +1971,27,0,internal,15-17 yrs,56,235004,15.988876342773438,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,23.829381942749023 +1971,27,0,all,18-20 yrs,295,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,136.05316162109375 +1971,27,0,MVA,18-20 yrs,141,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,65.02880096435547 +1971,27,0,suicide,18-20 yrs,25,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,11.529929161071777 +1971,27,0,homicide,18-20 yrs,9,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,4.1507744789123535 +1971,27,0,other external,18-20 yrs,56,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,25.827041625976562 +1971,27,0,internal,18-20 yrs,64,216827,18.961530685424805,0,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,29.516618728637695 +1971,27,0,all,21-24 yrs,319,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,125.95353698730469 +1971,27,0,MVA,21-24 yrs,131,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,51.7238655090332 +1971,27,0,suicide,21-24 yrs,36,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,14.214192390441895 +1971,27,0,homicide,21-24 yrs,11,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,4.343225479125977 +1971,27,0,other external,21-24 yrs,62,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,24.479997634887695 +1971,27,0,internal,21-24 yrs,79,253268,22.550310134887695,1,0.32098764181137085,1.149999976158142,0.20000000298023224,1.2899999618530273,2.6500000953674316,31.1922550201416 +1972,27,0,MVA,15-17 yrs,98,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,41.20261001586914 +1972,27,0,suicide,15-17 yrs,8,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,3.363478422164917 +1972,27,0,homicide,15-17 yrs,6,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,2.522608995437622 +1972,27,0,other external,15-17 yrs,32,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,13.453913688659668 +1972,27,0,internal,15-17 yrs,48,237849,15.97900390625,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,20.180871963500977 +1972,27,0,all,18-20 yrs,264,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,117.88029479980469 +1972,27,0,MVA,18-20 yrs,112,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,50.009822845458984 +1972,27,0,suicide,18-20 yrs,26,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,11.609423637390137 +1972,27,0,homicide,18-20 yrs,4,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,1.7860651016235352 +1972,27,0,other external,18-20 yrs,60,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,26.790977478027344 +1972,27,0,internal,18-20 yrs,62,223956,18.981714248657227,0,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,27.684009552001953 +1972,27,0,all,21-24 yrs,352,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,137.9132080078125 +1972,27,0,MVA,21-24 yrs,152,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,59.553428649902344 +1972,27,0,suicide,21-24 yrs,26,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,10.18677043914795 +1972,27,0,homicide,21-24 yrs,18,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,7.052379608154297 +1972,27,0,other external,21-24 yrs,80,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,31.343910217285156 +1972,27,0,internal,21-24 yrs,76,255233,22.49814796447754,1,0.31100478768348694,1.1299999952316284,0.20000000298023224,1.1699999570846558,2.490000009536743,29.776714324951172 +1973,27,0.5863013863563538,MVA,15-17 yrs,89,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,36.807735443115234 +1973,27,0.5863013863563538,suicide,15-17 yrs,20,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,8.271401405334473 +1973,27,0.5863013863563538,homicide,15-17 yrs,3,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,1.2407101392745972 +1973,27,0.5863013863563538,other external,15-17 yrs,59,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,24.400632858276367 +1973,27,0.5863013863563538,internal,15-17 yrs,54,241797,15.977551460266113,0,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.332782745361328 +1973,27,0.5863013863563538,all,18-20 yrs,297,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,130.81683349609375 +1973,27,0.5863013863563538,MVA,18-20 yrs,151,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,66.50956726074219 +1973,27,0.5863013863563538,suicide,18-20 yrs,27,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,11.892439842224121 +1973,27,0.5863013863563538,homicide,18-20 yrs,6,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,2.6427643299102783 +1973,27,0.5863013863563538,other external,18-20 yrs,51,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.463497161865234 +1973,27,0.5863013863563538,internal,18-20 yrs,62,227035,18.98887825012207,0.5863013863563538,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,27.308565139770508 +1973,27,0.5863013863563538,all,21-24 yrs,312,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,118.41551208496094 +1973,27,0.5863013863563538,MVA,21-24 yrs,122,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,46.30350112915039 +1973,27,0.5863013863563538,suicide,21-24 yrs,47,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,17.838233947753906 +1973,27,0.5863013863563538,homicide,21-24 yrs,16,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,6.072590351104736 +1973,27,0.5863013863563538,other external,21-24 yrs,58,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,22.013139724731445 +1973,27,0.5863013863563538,internal,21-24 yrs,69,263479,22.47348403930664,1,0.29279276728630066,1.2200000286102295,0.20000000298023224,1.2200000286102295,2.630000114440918,26.188045501708984 +1974,27,1,MVA,15-17 yrs,79,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,32.14479064941406 +1974,27,1,suicide,15-17 yrs,20,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,8.137921333312988 +1974,27,1,homicide,15-17 yrs,9,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,3.662064790725708 +1974,27,1,other external,15-17 yrs,50,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,20.344802856445312 +1974,27,1,internal,15-17 yrs,50,245763,15.988000869750977,0,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,20.344802856445312 +1974,27,1,all,18-20 yrs,294,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,128.1045684814453 +1974,27,1,MVA,18-20 yrs,143,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,62.30936813354492 +1974,27,1,suicide,18-20 yrs,41,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,17.86492347717285 +1974,27,1,homicide,18-20 yrs,15,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,6.535947799682617 +1974,27,1,other external,18-20 yrs,54,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,23.52941131591797 +1974,27,1,internal,18-20 yrs,41,229500,18.996557235717773,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,17.86492347717285 +1974,27,1,all,21-24 yrs,331,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,121.83541107177734 +1974,27,1,MVA,21-24 yrs,124,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,45.642269134521484 +1974,27,1,suicide,21-24 yrs,40,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,14.723312377929688 +1974,27,1,homicide,21-24 yrs,23,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,8.465904235839844 +1974,27,1,other external,21-24 yrs,63,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,23.18921661376953 +1974,27,1,internal,21-24 yrs,81,271678,22.459047317504883,1,0.26369166374206543,1.2799999713897705,0.20000000298023224,1.2599999904632568,2.740000009536743,29.814706802368164 +1975,27,1,MVA,15-17 yrs,101,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,40.673980712890625 +1975,27,1,suicide,15-17 yrs,15,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.040689945220947 +1975,27,1,homicide,15-17 yrs,10,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,4.027126789093018 +1975,27,1,other external,15-17 yrs,47,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,18.9274959564209 +1975,27,1,internal,15-17 yrs,49,248316,15.991132736206055,0,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,19.732921600341797 +1975,27,1,all,18-20 yrs,295,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,126.28532409667969 +1975,27,1,MVA,18-20 yrs,132,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,56.50733184814453 +1975,27,1,suicide,18-20 yrs,36,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,15.411090850830078 +1975,27,1,homicide,18-20 yrs,15,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.421288013458252 +1975,27,1,other external,18-20 yrs,50,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,21.404293060302734 +1975,27,1,internal,18-20 yrs,62,233598,18.98580551147461,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,26.541322708129883 +1975,27,1,all,21-24 yrs,313,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,110.67657470703125 +1975,27,1,MVA,21-24 yrs,101,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,35.71352767944336 +1975,27,1,suicide,21-24 yrs,52,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,18.387163162231445 +1975,27,1,homicide,21-24 yrs,17,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,6.01118803024292 +1975,27,1,other external,21-24 yrs,64,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,22.630353927612305 +1975,27,1,internal,21-24 yrs,79,282806,22.473215103149414,1,0.24163568019866943,1.2899999618530273,0.20000000298023224,1.2000000476837158,2.700000047683716,27.934343338012695 +1976,27,0.9809041023254395,MVA,15-17 yrs,67,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,26.66274070739746 +1976,27,0.9809041023254395,suicide,15-17 yrs,18,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,7.163124084472656 +1976,27,0.9809041023254395,homicide,15-17 yrs,9,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,3.581562042236328 +1976,27,0.9809041023254395,other external,15-17 yrs,41,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,16.31600570678711 +1976,27,0.9809041023254395,internal,15-17 yrs,54,251287,15.988956451416016,0,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,21.48937225341797 +1976,27,0.9809041023254395,all,18-20 yrs,299,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,125.41577911376953 +1976,27,0.9809041023254395,MVA,18-20 yrs,149,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,62.498165130615234 +1976,27,0.9809041023254395,suicide,18-20 yrs,34,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,14.26132583618164 +1976,27,0.9809041023254395,homicide,18-20 yrs,8,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,3.3556060791015625 +1976,27,0.9809041023254395,other external,18-20 yrs,46,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,19.294734954833984 +1976,27,0.9809041023254395,internal,18-20 yrs,62,238407,18.98313331604004,0.9809041023254395,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,26.00594711303711 +1976,27,0.9809041023254395,all,21-24 yrs,301,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,103.2990493774414 +1976,27,0.9809041023254395,MVA,21-24 yrs,116,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,39.809600830078125 +1976,27,0.9809041023254395,suicide,21-24 yrs,36,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,12.354703903198242 +1976,27,0.9809041023254395,homicide,21-24 yrs,13,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,4.46142053604126 +1976,27,0.9809041023254395,other external,21-24 yrs,61,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,20.934358596801758 +1976,27,0.9809041023254395,internal,21-24 yrs,75,291387,22.489572525024414,1,0.22847098112106323,1.2999999523162842,0.20999999344348907,1.2000000476837158,2.7100000381469727,25.73896598815918 +1977,27,0.7397071719169617,MVA,15-17 yrs,90,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,35.95771408081055 +1977,27,0.7397071719169617,suicide,15-17 yrs,21,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,8.390132904052734 +1977,27,0.7397071719169617,homicide,15-17 yrs,7,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,2.796710968017578 +1977,27,0.7397071719169617,other external,15-17 yrs,28,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,11.186843872070312 +1977,27,0.7397071719169617,internal,15-17 yrs,53,250294,16.00098991394043,0,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,21.175098419189453 +1977,27,0.7397071719169617,all,18-20 yrs,290,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,119.34107208251953 +1977,27,0.7397071719169617,MVA,18-20 yrs,146,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,60.08205795288086 +1977,27,0.7397071719169617,suicide,18-20 yrs,35,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,14.40323257446289 +1977,27,0.7397071719169617,homicide,18-20 yrs,10,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,4.115209579467773 +1977,27,0.7397071719169617,other external,18-20 yrs,52,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,21.399089813232422 +1977,27,0.7397071719169617,internal,18-20 yrs,47,243001,18.993757247924805,0.7397071719169617,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,19.34148406982422 +1977,27,0.7397071719169617,all,21-24 yrs,328,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,110.97802734375 +1977,27,0.7397071719169617,MVA,21-24 yrs,107,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,36.20319747924805 +1977,27,0.7397071719169617,suicide,21-24 yrs,61,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,20.639205932617188 +1977,27,0.7397071719169617,homicide,21-24 yrs,11,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,3.7218241691589355 +1977,27,0.7397071719169617,other external,21-24 yrs,67,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,22.669292449951172 +1977,27,0.7397071719169617,internal,21-24 yrs,82,295554,22.499319076538086,1,0.21452145278453827,1.2999999523162842,0.20000000298023224,1.149999976158142,2.6500000953674316,27.7445068359375 +1978,27,0.6662825345993042,MVA,15-17 yrs,91,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,36.768863677978516 +1978,27,0.6662825345993042,suicide,15-17 yrs,14,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,5.656748294830322 +1978,27,0.6662825345993042,homicide,15-17 yrs,4,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,1.6162137985229492 +1978,27,0.6662825345993042,other external,15-17 yrs,29,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,11.717550277709961 +1978,27,0.6662825345993042,internal,15-17 yrs,30,247492,16.01579475402832,0,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,12.121603965759277 +1978,27,0.6662825345993042,all,18-20 yrs,331,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,135.25717163085938 +1978,27,0.6662825345993042,MVA,18-20 yrs,160,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,65.38111114501953 +1978,27,0.6662825345993042,suicide,18-20 yrs,35,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,14.302118301391602 +1978,27,0.6662825345993042,homicide,18-20 yrs,10,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,4.086319446563721 +1978,27,0.6662825345993042,other external,18-20 yrs,63,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,25.743812561035156 +1978,27,0.6662825345993042,internal,18-20 yrs,63,244719,18.995166778564453,0.6662825345993042,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,25.743812561035156 +1978,27,0.6662825345993042,all,21-24 yrs,327,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,108.75891876220703 +1978,27,0.6662825345993042,MVA,21-24 yrs,140,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,46.56344985961914 +1978,27,0.6662825345993042,suicide,21-24 yrs,51,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,16.962400436401367 +1978,27,0.6662825345993042,homicide,21-24 yrs,10,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,3.325960874557495 +1978,27,0.6662825345993042,other external,21-24 yrs,54,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,17.960187911987305 +1978,27,0.6662825345993042,internal,21-24 yrs,72,300665,22.492910385131836,1,0.19938650727272034,1.309999942779541,0.23000000417232513,1.149999976158142,2.690000057220459,23.946918487548828 +1979,27,0.6642908453941345,MVA,15-17 yrs,84,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,34.8841552734375 +1979,27,0.6642908453941345,suicide,15-17 yrs,16,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,6.644600868225098 +1979,27,0.6642908453941345,homicide,15-17 yrs,1,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,0.4152875542640686 +1979,27,0.6642908453941345,other external,15-17 yrs,34,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,14.11977767944336 +1979,27,0.6642908453941345,internal,15-17 yrs,49,240797,16.0185546875,0,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,20.349090576171875 +1979,27,0.6642908453941345,all,18-20 yrs,327,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,131.89898681640625 +1979,27,0.6642908453941345,MVA,18-20 yrs,179,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,72.20158386230469 +1979,27,0.6642908453941345,suicide,18-20 yrs,37,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,14.924349784851074 +1979,27,0.6642908453941345,homicide,18-20 yrs,8,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,3.226886510848999 +1979,27,0.6642908453941345,other external,18-20 yrs,42,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,16.94115447998047 +1979,27,0.6642908453941345,internal,18-20 yrs,61,247917,18.99242401123047,0.6642908453941345,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,24.605009078979492 +1979,27,0.6642908453941345,all,21-24 yrs,304,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,99.162017822265625 +1979,27,0.6642908453941345,MVA,21-24 yrs,121,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,39.469093322753906 +1979,27,0.6642908453941345,suicide,21-24 yrs,46,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,15.004778861999512 +1979,27,0.6642908453941345,homicide,21-24 yrs,18,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,5.871435165405273 +1979,27,0.6642908453941345,other external,21-24 yrs,48,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,15.657160758972168 +1979,27,0.6642908453941345,internal,21-24 yrs,71,306569,22.488435745239258,1,0.1790633648633957,1.350000023841858,0.23999999463558197,1.159999966621399,2.75,23.159549713134766 +1980,27,0.6759313941001892,MVA,15-17 yrs,62,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,26.6693058013916 +1980,27,0.6759313941001892,suicide,15-17 yrs,17,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,7.312551498413086 +1980,27,0.6759313941001892,homicide,15-17 yrs,3,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,1.2904502153396606 +1980,27,0.6759313941001892,other external,15-17 yrs,22,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,9.463301658630371 +1980,27,0.6759313941001892,internal,15-17 yrs,35,232477,16.02994728088379,0,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,15.055253028869629 +1980,27,0.6759313941001892,all,18-20 yrs,279,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,113.10658264160156 +1980,27,0.6759313941001892,MVA,18-20 yrs,147,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,59.593788146972656 +1980,27,0.6759313941001892,suicide,18-20 yrs,28,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,11.351198196411133 +1980,27,0.6759313941001892,homicide,18-20 yrs,8,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,3.243199348449707 +1980,27,0.6759313941001892,other external,18-20 yrs,39,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,15.81059741973877 +1980,27,0.6759313941001892,internal,18-20 yrs,57,246670,19.00809669494629,0.6759313941001892,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,23.10779571533203 +1980,27,0.6759313941001892,all,21-24 yrs,359,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,114.79954528808594 +1980,27,0.6759313941001892,MVA,21-24 yrs,141,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,45.088401794433594 +1980,27,0.6759313941001892,suicide,21-24 yrs,58,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,18.5470027923584 +1980,27,0.6759313941001892,homicide,21-24 yrs,22,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,7.035069942474365 +1980,27,0.6759313941001892,other external,21-24 yrs,53,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,16.948122024536133 +1980,27,0.6759313941001892,internal,21-24 yrs,85,312719,22.486494064331055,1,0.15776698291301727,1.399999976158142,0.25999999046325684,1.2000000476837158,2.8499999046325684,27.180952072143555 +1981,27,0.6791439056396484,MVA,15-17 yrs,72,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,32.729801177978516 +1981,27,0.6791439056396484,suicide,15-17 yrs,17,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,7.727869987487793 +1981,27,0.6791439056396484,homicide,15-17 yrs,4,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,1.8183223009109497 +1981,27,0.6791439056396484,other external,15-17 yrs,20,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,9.091611862182617 +1981,27,0.6791439056396484,internal,15-17 yrs,32,219983,16.038280487060547,0,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,14.546578407287598 +1981,27,0.6791439056396484,all,18-20 yrs,240,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,98.493865966796875 +1981,27,0.6791439056396484,MVA,18-20 yrs,106,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,43.50145721435547 +1981,27,0.6791439056396484,suicide,18-20 yrs,37,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.184471130371094 +1981,27,0.6791439056396484,homicide,18-20 yrs,7,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,2.8727376461029053 +1981,27,0.6791439056396484,other external,18-20 yrs,42,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,17.236425399780273 +1981,27,0.6791439056396484,internal,18-20 yrs,48,243670,19.02106475830078,0.6791439056396484,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,19.698772430419922 +1981,27,0.6791439056396484,all,21-24 yrs,308,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,97.49797058105469 +1981,27,0.6791439056396484,MVA,21-24 yrs,131,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,41.46829605102539 +1981,27,0.6791439056396484,suicide,21-24 yrs,50,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.827592849731445 +1981,27,0.6791439056396484,homicide,21-24 yrs,7,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,2.215862989425659 +1981,27,0.6791439056396484,other external,21-24 yrs,49,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,15.511041641235352 +1981,27,0.6791439056396484,internal,21-24 yrs,71,315904,22.497182846069336,1,0.14301429688930511,1.3899999856948853,0.27000001072883606,1.1799999475479126,2.8299999237060547,22.475181579589844 +1982,27,0.6817948222160339,MVA,15-17 yrs,33,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,15.87759780883789 +1982,27,0.6817948222160339,suicide,15-17 yrs,9,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,4.330254077911377 +1982,27,0.6817948222160339,homicide,15-17 yrs,2,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,0.9622786641120911 +1982,27,0.6817948222160339,other external,15-17 yrs,17,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,8.17936897277832 +1982,27,0.6817948222160339,internal,15-17 yrs,35,207840,16.033655166625977,0,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,16.839876174926758 +1982,27,0.6817948222160339,all,18-20 yrs,191,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,81.02867889404297 +1982,27,0.6817948222160339,MVA,18-20 yrs,67,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,28.423673629760742 +1982,27,0.6817948222160339,suicide,18-20 yrs,46,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.514760971069336 +1982,27,0.6817948222160339,homicide,18-20 yrs,11,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,4.666573524475098 +1982,27,0.6817948222160339,other external,18-20 yrs,21,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,8.908912658691406 +1982,27,0.6817948222160339,internal,18-20 yrs,46,235719,19.023550033569336,0.6817948222160339,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.514760971069336 +1982,27,0.6817948222160339,all,21-24 yrs,282,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,89.14036560058594 +1982,27,0.6817948222160339,MVA,21-24 yrs,98,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,30.97785758972168 +1982,27,0.6817948222160339,suicide,21-24 yrs,52,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,16.437231063842773 +1982,27,0.6817948222160339,homicide,21-24 yrs,12,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,3.7932069301605225 +1982,27,0.6817948222160339,other external,21-24 yrs,59,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,18.649934768676758 +1982,27,0.6817948222160339,internal,21-24 yrs,61,316355,22.491178512573242,1,0.1347150206565857,1.3600000143051147,0.27000001072883606,1.1100000143051147,2.75,19.282135009765625 +1983,27,0.6879870295524597,MVA,15-17 yrs,38,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,19.144155502319336 +1983,27,0.6879870295524597,suicide,15-17 yrs,11,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,5.54172945022583 +1983,27,0.6879870295524597,homicide,15-17 yrs,1,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,0.5037935376167297 +1983,27,0.6879870295524597,other external,15-17 yrs,13,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,6.54931640625 +1983,27,0.6879870295524597,internal,15-17 yrs,22,198494,16.019577026367188,0,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,11.08345890045166 +1983,27,0.6879870295524597,all,18-20 yrs,193,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,85.59479522705078 +1983,27,0.6879870295524597,MVA,18-20 yrs,76,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,33.70572280883789 +1983,27,0.6879870295524597,suicide,18-20 yrs,27,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,11.974401473999023 +1983,27,0.6879870295524597,homicide,18-20 yrs,5,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,2.217481851577759 +1983,27,0.6879870295524597,other external,18-20 yrs,37,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,16.409364700317383 +1983,27,0.6879870295524597,internal,18-20 yrs,48,225481,19.035598754882812,0.6879870295524597,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,21.287824630737305 +1983,27,0.6879870295524597,all,21-24 yrs,239,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,76.13841247558594 +1983,27,0.6879870295524597,MVA,21-24 yrs,89,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,28.352798461914062 +1983,27,0.6879870295524597,suicide,21-24 yrs,32,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,10.19426441192627 +1983,27,0.6879870295524597,homicide,21-24 yrs,7,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,2.2299952507019043 +1983,27,0.6879870295524597,other external,21-24 yrs,40,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,12.742830276489258 +1983,27,0.6879870295524597,internal,21-24 yrs,71,313902,22.50126075744629,1,0.13052208721637726,1.3700000047683716,0.27000001072883606,1.100000023841858,2.740000009536743,22.6185245513916 +1984,27,0.6908088326454163,MVA,15-17 yrs,49,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,25.14264678955078 +1984,27,0.6908088326454163,suicide,15-17 yrs,16,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,8.209843635559082 +1984,27,0.6908088326454163,homicide,15-17 yrs,1,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,0.5131152272224426 +1984,27,0.6908088326454163,other external,15-17 yrs,18,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,9.236074447631836 +1984,27,0.6908088326454163,internal,15-17 yrs,42,194888,16.001266479492188,0,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,21.550840377807617 +1984,27,0.6908088326454163,all,18-20 yrs,212,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,99.22724151611328 +1984,27,0.6908088326454163,MVA,18-20 yrs,97,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,45.401145935058594 +1984,27,0.6908088326454163,suicide,18-20 yrs,28,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,13.105484962463379 +1984,27,0.6908088326454163,homicide,18-20 yrs,3,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,1.4041590690612793 +1984,27,0.6908088326454163,other external,18-20 yrs,35,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,16.38185691833496 +1984,27,0.6908088326454163,internal,18-20 yrs,49,213651,19.04311180114746,0.6908088326454163,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,22.934598922729492 +1984,27,0.6908088326454163,all,21-24 yrs,247,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,79.513519287109375 +1984,27,0.6908088326454163,MVA,21-24 yrs,82,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,26.397201538085938 +1984,27,0.6908088326454163,suicide,21-24 yrs,49,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,15.773937225341797 +1984,27,0.6908088326454163,homicide,21-24 yrs,5,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,1.6095854043960571 +1984,27,0.6908088326454163,other external,21-24 yrs,54,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,17.383522033691406 +1984,27,0.6908088326454163,internal,21-24 yrs,57,310639,22.51847267150879,1,0.12512029707431793,1.340000033378601,0.2800000011920929,1.0700000524520874,2.680000066757202,18.349273681640625 +1985,27,0.6872035264968872,MVA,15-17 yrs,49,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,25.09423065185547 +1985,27,0.6872035264968872,suicide,15-17 yrs,21,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.754670143127441 +1985,27,0.6872035264968872,homicide,15-17 yrs,6,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,3.072762966156006 +1985,27,0.6872035264968872,other external,15-17 yrs,9,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,4.609144687652588 +1985,27,0.6872035264968872,internal,15-17 yrs,21,195264,15.99453067779541,0,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.754670143127441 +1985,27,0.6872035264968872,all,18-20 yrs,174,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,85.97517395019531 +1985,27,0.6872035264968872,MVA,18-20 yrs,80,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,39.52881622314453 +1985,27,0.6872035264968872,suicide,18-20 yrs,29,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,14.329195976257324 +1985,27,0.6872035264968872,homicide,18-20 yrs,3,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,1.482330560684204 +1985,27,0.6872035264968872,other external,18-20 yrs,23,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,11.364534378051758 +1985,27,0.6872035264968872,internal,18-20 yrs,39,202384,19.037992477416992,0.6872035264968872,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,19.27029800415039 +1985,27,0.6872035264968872,all,21-24 yrs,244,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,80.01338195800781 +1985,27,0.6872035264968872,MVA,21-24 yrs,83,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,27.217666625976562 +1985,27,0.6872035264968872,suicide,21-24 yrs,47,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,15.412413597106934 +1985,27,0.6872035264968872,homicide,21-24 yrs,12,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,3.935084342956543 +1985,27,0.6872035264968872,other external,21-24 yrs,31,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,10.165634155273438 +1985,27,0.6872035264968872,internal,21-24 yrs,71,304949,22.538660049438477,1,0.12081784009933472,1.309999942779541,0.3100000023841858,1.059999942779541,2.680000066757202,23.282581329345703 +1986,27,0.6605846881866455,MVA,15-17 yrs,52,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,26.444801330566406 +1986,27,0.6605846881866455,suicide,15-17 yrs,40,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,20.34215545654297 +1986,27,0.6605846881866455,homicide,15-17 yrs,5,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,2.542769432067871 +1986,27,0.6605846881866455,other external,15-17 yrs,18,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,9.153969764709473 +1986,27,0.6605846881866455,internal,15-17 yrs,38,196636,16.000925064086914,0,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,19.32504653930664 +1986,27,0.6605846881866455,all,18-20 yrs,217,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,111.86547088623047 +1986,27,0.6605846881866455,MVA,18-20 yrs,91,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,46.91132736206055 +1986,27,0.6605846881866455,suicide,18-20 yrs,46,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,23.71341896057129 +1986,27,0.6605846881866455,homicide,18-20 yrs,11,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,5.670599937438965 +1986,27,0.6605846881866455,other external,18-20 yrs,35,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,18.042818069458008 +1986,27,0.6605846881866455,internal,18-20 yrs,34,193983,19.02317237854004,0.6605846881866455,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,17.52730941772461 +1986,27,0.6605846881866455,all,21-24 yrs,229,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,78.06986999511719 +1986,27,0.6605846881866455,MVA,21-24 yrs,66,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,22.500486373901367 +1986,27,0.6605846881866455,suicide,21-24 yrs,49,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,16.704906463623047 +1986,27,0.6605846881866455,homicide,21-24 yrs,9,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,3.0682480335235596 +1986,27,0.6605846881866455,other external,21-24 yrs,42,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,14.318490982055664 +1986,27,0.6605846881866455,internal,21-24 yrs,63,293327,22.552066802978516,1,0.11861313879489899,1.2999999523162842,0.33000001311302185,0.9200000166893005,2.559999942779541,21.47773551940918 +1987,27,0.3895438313484192,MVA,15-17 yrs,57,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,29.91372299194336 +1987,27,0.3895438313484192,suicide,15-17 yrs,33,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,17.318470001220703 +1987,27,0.3895438313484192,homicide,15-17 yrs,1,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,0.5248021483421326 +1987,27,0.3895438313484192,other external,15-17 yrs,9,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,4.723219394683838 +1987,27,0.3895438313484192,internal,15-17 yrs,37,190548,16.042593002319336,0,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,19.417678833007812 +1987,27,0.3895438313484192,all,18-20 yrs,153,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,79.92686462402344 +1987,27,0.3895438313484192,MVA,18-20 yrs,62,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,32.38866424560547 +1987,27,0.3895438313484192,suicide,18-20 yrs,34,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,17.761526107788086 +1987,27,0.3895438313484192,homicide,18-20 yrs,10,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,5.223978042602539 +1987,27,0.3895438313484192,other external,18-20 yrs,21,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,10.970354080200195 +1987,27,0.3895438313484192,internal,18-20 yrs,26,191425,19.002769470214844,0.3895438313484192,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,13.582343101501465 +1987,27,0.3895438313484192,all,21-24 yrs,206,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,73.57695007324219 +1987,27,0.3895438313484192,MVA,21-24 yrs,61,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,21.7873477935791 +1987,27,0.3895438313484192,suicide,21-24 yrs,51,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,18.215652465820312 +1987,27,0.3895438313484192,homicide,21-24 yrs,10,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,3.5716965198516846 +1987,27,0.3895438313484192,other external,21-24 yrs,37,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,13.215276718139648 +1987,27,0.3895438313484192,internal,21-24 yrs,47,279979,22.568084716796875,1,0.13028168678283691,1.309999942779541,0.3199999928474426,0.9399999976158142,2.559999942779541,16.78697395324707 +1988,27,0.07282162457704544,MVA,15-17 yrs,45,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,24.702472686767578 +1988,27,0.07282162457704544,suicide,15-17 yrs,37,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,20.310922622680664 +1988,27,0.07282162457704544,homicide,15-17 yrs,6,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,3.2936630249023438 +1988,27,0.07282162457704544,other external,15-17 yrs,18,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,9.880989074707031 +1988,27,0.07282162457704544,internal,15-17 yrs,25,182168,16.068025588989258,0,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,13.72359561920166 +1988,27,0.07282162457704544,all,18-20 yrs,171,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,88.10345458984375 +1988,27,0.07282162457704544,MVA,18-20 yrs,90,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,46.3702392578125 +1988,27,0.07282162457704544,suicide,18-20 yrs,29,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,14.941521644592285 +1988,27,0.07282162457704544,homicide,18-20 yrs,10,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,5.152248859405518 +1988,27,0.07282162457704544,other external,18-20 yrs,17,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,8.75882339477539 +1988,27,0.07282162457704544,internal,18-20 yrs,25,194090,18.99506378173828,0.07282162457704544,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,12.880622863769531 +1988,27,0.07282162457704544,all,21-24 yrs,232,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,86.43814849853516 +1988,27,0.07282162457704544,MVA,21-24 yrs,82,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,30.551416397094727 +1988,27,0.07282162457704544,suicide,21-24 yrs,48,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,17.88375473022461 +1988,27,0.07282162457704544,homicide,21-24 yrs,12,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,4.470938682556152 +1988,27,0.07282162457704544,other external,21-24 yrs,31,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,11.549925804138184 +1988,27,0.07282162457704544,internal,21-24 yrs,59,268400,22.56944465637207,1,0.12510566413402557,1.2999999523162842,0.30000001192092896,0.8899999856948853,2.490000009536743,21.98211669921875 +1989,27,0,MVA,15-17 yrs,32,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.584014892578125 +1989,27,0,suicide,15-17 yrs,29,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,16.84176254272461 +1989,27,0,homicide,15-17 yrs,7,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,4.065253257751465 +1989,27,0,other external,15-17 yrs,6,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.4845027923583984 +1989,27,0,internal,15-17 yrs,25,172191,16.033613204956055,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,14.518760681152344 +1989,27,0,all,18-20 yrs,190,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,96.580047607421875 +1989,27,0,MVA,18-20 yrs,89,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,45.24012756347656 +1989,27,0,suicide,18-20 yrs,40,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,20.3326416015625 +1989,27,0,homicide,18-20 yrs,6,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.049896240234375 +1989,27,0,other external,18-20 yrs,18,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,9.149688720703125 +1989,27,0,internal,18-20 yrs,37,196728,18.999832153320312,0,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.807693481445312 +1989,27,0,all,21-24 yrs,196,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,76.503631591796875 +1989,27,0,MVA,21-24 yrs,71,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,27.713048934936523 +1989,27,0,suicide,21-24 yrs,38,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,14.83233642578125 +1989,27,0,homicide,21-24 yrs,9,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,3.5129218101501465 +1989,27,0,other external,21-24 yrs,30,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,11.709738731384277 +1989,27,0,internal,21-24 yrs,48,256197,22.551427841186523,1,0.11935483664274216,1.2799999713897705,0.27000001072883606,0.8799999952316284,2.430000066757202,18.73558235168457 +1990,27,0,MVA,15-17 yrs,37,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,21.498628616333008 +1990,27,0,suicide,15-17 yrs,14,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,8.134615898132324 +1990,27,0,homicide,15-17 yrs,8,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,4.648352146148682 +1990,27,0,other external,15-17 yrs,16,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.296704292297363 +1990,27,0,internal,15-17 yrs,26,172104,15.993945121765137,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,15.107144355773926 +1990,27,0,all,18-20 yrs,188,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,97.55591583251953 +1990,27,0,MVA,18-20 yrs,74,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,38.3996696472168 +1990,27,0,suicide,18-20 yrs,45,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,23.35114860534668 +1990,27,0,homicide,18-20 yrs,11,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,5.708058834075928 +1990,27,0,other external,18-20 yrs,18,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.340459823608398 +1990,27,0,internal,18-20 yrs,40,192710,19.03853416442871,0,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,20.756576538085938 +1990,27,0,all,21-24 yrs,216,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,86.65059661865234 +1990,27,0,MVA,21-24 yrs,85,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,34.09861373901367 +1990,27,0,suicide,21-24 yrs,47,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,18.85452651977539 +1990,27,0,homicide,21-24 yrs,11,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,4.412761688232422 +1990,27,0,other external,21-24 yrs,23,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,9.226683616638184 +1990,27,0,internal,21-24 yrs,50,249277,22.517696380615234,1,0.11323641985654831,1.3200000524520874,0.27000001072883606,0.9599999785423279,2.549999952316284,20.058008193969727 +1991,27,0,MVA,15-17 yrs,33,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,18.868032455444336 +1991,27,0,suicide,15-17 yrs,24,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,13.72220516204834 +1991,27,0,homicide,15-17 yrs,5,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,2.858792781829834 +1991,27,0,other external,15-17 yrs,7,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,4.002309799194336 +1991,27,0,internal,15-17 yrs,29,174899,15.991480827331543,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,16.580997467041016 +1991,27,0,all,18-20 yrs,161,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,87.44866943359375 +1991,27,0,MVA,18-20 yrs,80,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,43.452754974365234 +1991,27,0,suicide,18-20 yrs,24,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,13.035826683044434 +1991,27,0,homicide,18-20 yrs,15,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,8.147391319274902 +1991,27,0,other external,18-20 yrs,19,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,10.320029258728027 +1991,27,0,internal,18-20 yrs,23,184108,19.05491828918457,0,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,12.492667198181152 +1991,27,0,all,21-24 yrs,198,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,80.08186340332031 +1991,27,0,MVA,21-24 yrs,62,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,25.07613754272461 +1991,27,0,suicide,21-24 yrs,53,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,21.436054229736328 +1991,27,0,homicide,21-24 yrs,16,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,6.471261501312256 +1991,27,0,other external,21-24 yrs,23,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,9.302438735961914 +1991,27,0,internal,21-24 yrs,44,247247,22.485551834106445,1,0.10866373032331467,1.2999999523162842,0.23999999463558197,0.8100000023841858,2.3499999046325684,17.795969009399414 +1992,27,0,MVA,15-17 yrs,41,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,22.498546600341797 +1992,27,0,suicide,15-17 yrs,21,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,11.523645401000977 +1992,27,0,homicide,15-17 yrs,7,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,3.841215133666992 +1992,27,0,other external,15-17 yrs,8,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,4.389960289001465 +1992,27,0,internal,15-17 yrs,28,182234,15.985420227050781,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,15.364860534667969 +1992,27,0,all,18-20 yrs,142,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,80.9675064086914 +1992,27,0,MVA,18-20 yrs,55,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,31.360652923583984 +1992,27,0,suicide,18-20 yrs,29,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,16.53561782836914 +1992,27,0,homicide,18-20 yrs,9,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,5.131743431091309 +1992,27,0,other external,18-20 yrs,19,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,10.833680152893066 +1992,27,0,internal,18-20 yrs,30,175379,19.02821922302246,0,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,17.105810165405273 +1992,27,0,all,21-24 yrs,201,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,81.17571258544922 +1992,27,0,MVA,21-24 yrs,74,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,29.88558578491211 +1992,27,0,suicide,21-24 yrs,44,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,17.769807815551758 +1992,27,0,homicide,21-24 yrs,17,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,6.865607738494873 +1992,27,0,other external,21-24 yrs,16,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,6.4617486000061035 +1992,27,0,internal,21-24 yrs,50,247611,22.470136642456055,1,0.10548824071884155,1.25,0.25,0.8500000238418579,2.3499999046325684,20.192964553833008 +1993,27,0,MVA,15-17 yrs,33,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,17.494844436645508 +1993,27,0,suicide,15-17 yrs,18,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,9.542642593383789 +1993,27,0,homicide,15-17 yrs,9,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,4.7713212966918945 +1993,27,0,other external,15-17 yrs,9,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,4.7713212966918945 +1993,27,0,internal,15-17 yrs,31,188627,15.974950790405273,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,16.434551239013672 +1993,27,0,all,18-20 yrs,127,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,72.2662582397461 +1993,27,0,MVA,18-20 yrs,47,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,26.744205474853516 +1993,27,0,suicide,18-20 yrs,29,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,16.50174331665039 +1993,27,0,homicide,18-20 yrs,19,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,10.811487197875977 +1993,27,0,other external,18-20 yrs,12,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,6.82830810546875 +1993,27,0,internal,18-20 yrs,20,175739,18.996084213256836,0,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,11.380513191223145 +1993,27,0,all,21-24 yrs,186,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,75.673126220703125 +1993,27,0,MVA,21-24 yrs,51,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,20.749082565307617 +1993,27,0,suicide,21-24 yrs,48,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,19.528549194335938 +1993,27,0,homicide,21-24 yrs,16,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,6.50951623916626 +1993,27,0,other external,21-24 yrs,25,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,10.17111873626709 +1993,27,0,internal,21-24 yrs,46,245794,22.511493682861328,1,0.10242214798927307,1.2400000095367432,0.23999999463558197,0.8399999737739563,2.3299999237060547,18.714859008789062 +1994,27,0,MVA,15-17 yrs,42,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,21.205480575561523 +1994,27,0,suicide,15-17 yrs,11,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,5.553816318511963 +1994,27,0,homicide,15-17 yrs,8,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,4.039139270782471 +1994,27,0,other external,15-17 yrs,6,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,3.0293543338775635 +1994,27,0,internal,15-17 yrs,36,198062,15.976456642150879,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,18.17612648010254 +1994,27,0,all,18-20 yrs,161,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,90.04474639892578 +1994,27,0,MVA,18-20 yrs,63,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,35.23489761352539 +1994,27,0,suicide,18-20 yrs,24,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,13.422819137573242 +1994,27,0,homicide,18-20 yrs,19,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,10.626398086547852 +1994,27,0,other external,18-20 yrs,21,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,11.744966506958008 +1994,27,0,internal,18-20 yrs,34,178800,18.99422836303711,0,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,19.01565933227539 +1994,27,0,all,21-24 yrs,210,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,87.47557830810547 +1994,27,0,MVA,21-24 yrs,68,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,28.32542610168457 +1994,27,0,suicide,21-24 yrs,46,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,19.161317825317383 +1994,27,0,homicide,21-24 yrs,24,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,9.997209548950195 +1994,27,0,other external,21-24 yrs,17,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,7.081356525421143 +1994,27,0,internal,21-24 yrs,55,240067,22.55109214782715,1,0.09986504912376404,1.2699999809265137,0.25,0.8299999833106995,2.3499999046325684,22.91027069091797 +1995,27,0,MVA,15-17 yrs,41,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,19.722822189331055 +1995,27,0,suicide,15-17 yrs,22,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.582977294921875 +1995,27,0,homicide,15-17 yrs,15,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,7.215666770935059 +1995,27,0,other external,15-17 yrs,16,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,7.69671106338501 +1995,27,0,internal,15-17 yrs,25,207881,15.967453002929688,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,12.026110649108887 +1995,27,0,all,18-20 yrs,133,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,71.73755645751953 +1995,27,0,MVA,18-20 yrs,52,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,28.047767639160156 +1995,27,0,suicide,18-20 yrs,21,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,11.326983451843262 +1995,27,0,homicide,18-20 yrs,19,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.248222351074219 +1995,27,0,other external,18-20 yrs,9,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,4.854421138763428 +1995,27,0,internal,18-20 yrs,32,185398,18.991687774658203,0,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,17.260164260864258 +1995,27,0,all,21-24 yrs,216,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,93.06974792480469 +1995,27,0,MVA,21-24 yrs,78,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,33.6085205078125 +1995,27,0,suicide,21-24 yrs,37,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,15.942503929138184 +1995,27,0,homicide,21-24 yrs,25,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,10.77196216583252 +1995,27,0,other external,21-24 yrs,27,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,11.633718490600586 +1995,27,0,internal,21-24 yrs,49,232084,22.54832649230957,1,0.09711286425590515,1.2400000095367432,0.25999999046325684,0.8299999833106995,2.319999933242798,21.11304473876953 +1996,27,0,MVA,15-17 yrs,51,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,23.577926635742188 +1996,27,0,suicide,15-17 yrs,17,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.859309196472168 +1996,27,0,homicide,15-17 yrs,10,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,4.6231231689453125 +1996,27,0,other external,15-17 yrs,18,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,8.321621894836426 +1996,27,0,internal,15-17 yrs,30,216304,15.981276512145996,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,13.869369506835938 +1996,27,0,all,18-20 yrs,156,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,81.54304504394531 +1996,27,0,MVA,18-20 yrs,59,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,30.839998245239258 +1996,27,0,suicide,18-20 yrs,24,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,12.545083999633789 +1996,27,0,homicide,18-20 yrs,20,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,10.45423698425293 +1996,27,0,other external,18-20 yrs,21,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,10.976948738098145 +1996,27,0,internal,18-20 yrs,32,191310,18.98212242126465,0,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,16.726778030395508 +1996,27,0,all,21-24 yrs,166,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,73.12324523925781 +1996,27,0,MVA,21-24 yrs,57,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,25.108583450317383 +1996,27,0,suicide,21-24 yrs,36,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,15.858053207397461 +1996,27,0,homicide,21-24 yrs,17,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.488524913787842 +1996,27,0,other external,21-24 yrs,17,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,7.488524913787842 +1996,27,0,internal,21-24 yrs,39,227014,22.491718292236328,1,0.09432759881019592,1.25,0.25999999046325684,0.8299999833106995,2.3399999141693115,17.17955780029297 +1970,28,1,MVA,15-17 yrs,71,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,49.25185775756836 +1970,28,1,suicide,15-17 yrs,4,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,2.774752616882324 +1970,28,1,homicide,15-17 yrs,11,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,7.6305694580078125 +1970,28,1,other external,15-17 yrs,39,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,27.053836822509766 +1970,28,1,internal,15-17 yrs,46,144157,15.969560623168945,0,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,31.90965461730957 +1970,28,1,all,18-20 yrs,214,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,164.31204223632812 +1970,28,1,MVA,18-20 yrs,105,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,80.620391845703125 +1970,28,1,suicide,18-20 yrs,7,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,5.374692916870117 +1970,28,1,homicide,18-20 yrs,15,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,11.51719856262207 +1970,28,1,other external,18-20 yrs,38,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,29.176904678344727 +1970,28,1,internal,18-20 yrs,49,130240,18.963336944580078,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,37.62284851074219 +1970,28,1,all,21-24 yrs,264,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,199.69290161132812 +1970,28,1,MVA,21-24 yrs,108,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,81.69255065917969 +1970,28,1,suicide,21-24 yrs,10,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,7.564125061035156 +1970,28,1,homicide,21-24 yrs,31,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,23.448787689208984 +1970,28,1,other external,21-24 yrs,53,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,40.08986282348633 +1970,28,1,internal,21-24 yrs,62,132203,22.382896423339844,1,1.1056700944900513,0.8199999928474426,0.07999999821186066,0.7099999785423279,1.6100000143051147,46.89757537841797 +1971,28,1,MVA,15-17 yrs,90,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,59.82968521118164 +1971,28,1,suicide,15-17 yrs,8,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,5.318194389343262 +1971,28,1,homicide,15-17 yrs,5,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,3.323871374130249 +1971,28,1,other external,15-17 yrs,50,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,33.238712310791016 +1971,28,1,internal,15-17 yrs,36,150427,15.984989166259766,0,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,23.931873321533203 +1971,28,1,all,18-20 yrs,221,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,165.3560333251953 +1971,28,1,MVA,18-20 yrs,106,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,79.31104278564453 +1971,28,1,suicide,18-20 yrs,12,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,8.978608131408691 +1971,28,1,homicide,18-20 yrs,21,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,15.712564468383789 +1971,28,1,other external,18-20 yrs,38,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,28.432260513305664 +1971,28,1,internal,18-20 yrs,44,133651,18.998571395874023,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,32.921566009521484 +1971,28,1,all,21-24 yrs,296,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,195.5486297607422 +1971,28,1,MVA,21-24 yrs,119,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,78.61582946777344 +1971,28,1,suicide,21-24 yrs,12,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,7.927647113800049 +1971,28,1,homicide,21-24 yrs,48,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,31.710588455200195 +1971,28,1,other external,21-24 yrs,38,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,25.104215621948242 +1971,28,1,internal,21-24 yrs,79,151369,22.460491180419922,1,1.0592591762542725,0.9100000262260437,0.10000000149011612,0.75,1.7599999904632568,52.19034194946289 +1972,28,1,MVA,15-17 yrs,78,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,50.53450012207031 +1972,28,1,suicide,15-17 yrs,8,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,5.183025360107422 +1972,28,1,homicide,15-17 yrs,10,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,6.4787821769714355 +1972,28,1,other external,15-17 yrs,64,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,41.464202880859375 +1972,28,1,internal,15-17 yrs,52,154350,15.991551399230957,0,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,33.689666748046875 +1972,28,1,all,18-20 yrs,224,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,164.2481689453125 +1972,28,1,MVA,18-20 yrs,98,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,71.85857391357422 +1972,28,1,suicide,18-20 yrs,16,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,11.732011795043945 +1972,28,1,homicide,18-20 yrs,24,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,17.5980167388916 +1972,28,1,other external,18-20 yrs,42,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,30.79652976989746 +1972,28,1,internal,18-20 yrs,44,136379,18.98509979248047,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,32.263031005859375 +1972,28,1,all,21-24 yrs,322,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,202.164794921875 +1972,28,1,MVA,21-24 yrs,108,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,67.80682373046875 +1972,28,1,suicide,21-24 yrs,18,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,11.301137924194336 +1972,28,1,homicide,21-24 yrs,64,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,40.18182373046875 +1972,28,1,other external,21-24 yrs,68,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,42.69318771362305 +1972,28,1,internal,21-24 yrs,64,159276,22.41996955871582,1,1.0263158082962036,0.949999988079071,0.10999999940395355,0.75,1.8200000524520874,40.18182373046875 +1973,28,1,MVA,15-17 yrs,63,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,40.239906311035156 +1973,28,1,suicide,15-17 yrs,7,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,4.471100807189941 +1973,28,1,homicide,15-17 yrs,7,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,4.471100807189941 +1973,28,1,other external,15-17 yrs,60,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,38.3237190246582 +1973,28,1,internal,15-17 yrs,36,156561,15.995739936828613,0,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,22.994232177734375 +1973,28,1,all,18-20 yrs,252,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,177.9748992919922 +1973,28,1,MVA,18-20 yrs,100,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,70.62496185302734 +1973,28,1,suicide,18-20 yrs,12,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,8.474995613098145 +1973,28,1,homicide,18-20 yrs,33,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,23.306236267089844 +1973,28,1,other external,18-20 yrs,56,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,39.54997634887695 +1973,28,1,internal,18-20 yrs,51,141593,18.96112060546875,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,36.01873016357422 +1973,28,1,all,21-24 yrs,283,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,169.1885528564453 +1973,28,1,MVA,21-24 yrs,107,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,63.968814849853516 +1973,28,1,suicide,21-24 yrs,17,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,10.163269996643066 +1973,28,1,homicide,21-24 yrs,33,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,19.728700637817383 +1973,28,1,other external,21-24 yrs,58,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,34.674686431884766 +1973,28,1,internal,21-24 yrs,68,167269,22.43941879272461,1,0.9662161469459534,0.9800000190734863,0.10000000149011612,0.7599999904632568,1.850000023841858,40.653079986572266 +1974,28,1,MVA,15-17 yrs,53,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,33.52732849121094 +1974,28,1,suicide,15-17 yrs,6,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,3.795546531677246 +1974,28,1,homicide,15-17 yrs,14,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,8.85627555847168 +1974,28,1,other external,15-17 yrs,45,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,28.466598510742188 +1974,28,1,internal,15-17 yrs,47,158080,16.001726150512695,0,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,29.731781005859375 +1974,28,1,all,18-20 yrs,202,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,138.30784606933594 +1974,28,1,MVA,18-20 yrs,70,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,47.928462982177734 +1974,28,1,suicide,18-20 yrs,9,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,6.162230968475342 +1974,28,1,homicide,18-20 yrs,21,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,14.378539085388184 +1974,28,1,other external,18-20 yrs,54,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,36.973384857177734 +1974,28,1,internal,18-20 yrs,48,146051,18.972702026367188,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,32.865230560302734 +1974,28,1,all,21-24 yrs,265,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,157.4167022705078 +1974,28,1,MVA,21-24 yrs,78,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,46.3339729309082 +1974,28,1,suicide,21-24 yrs,17,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,10.098429679870605 +1974,28,1,homicide,21-24 yrs,47,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,27.919189453125 +1974,28,1,other external,21-24 yrs,45,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,26.731138229370117 +1974,28,1,internal,21-24 yrs,78,168343,22.48244285583496,1,0.8701825737953186,1.0199999809265137,0.10999999940395355,0.8100000023841858,1.940000057220459,46.3339729309082 +1975,28,1,MVA,15-17 yrs,53,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,33.54175567626953 +1975,28,1,suicide,15-17 yrs,4,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,2.5314533710479736 +1975,28,1,homicide,15-17 yrs,5,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,3.1643166542053223 +1975,28,1,other external,15-17 yrs,47,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,29.74457550048828 +1975,28,1,internal,15-17 yrs,29,158012,15.996943473815918,0,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,18.353036880493164 +1975,28,1,all,18-20 yrs,186,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,124.11418151855469 +1975,28,1,MVA,18-20 yrs,63,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,42.03867721557617 +1975,28,1,suicide,18-20 yrs,10,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,6.6728057861328125 +1975,28,1,homicide,18-20 yrs,21,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,14.01289176940918 +1975,28,1,other external,18-20 yrs,44,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,29.36034393310547 +1975,28,1,internal,18-20 yrs,48,149862,18.979040145874023,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,32.02946853637695 +1975,28,1,all,21-24 yrs,214,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,126.03656005859375 +1975,28,1,MVA,21-24 yrs,44,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,25.914058685302734 +1975,28,1,suicide,21-24 yrs,19,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,11.19016170501709 +1975,28,1,homicide,21-24 yrs,39,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,22.969280242919922 +1975,28,1,other external,21-24 yrs,65,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,38.282135009765625 +1975,28,1,internal,21-24 yrs,47,169792,22.47975730895996,1,0.797397792339325,1.0199999809265137,0.12999999523162842,0.8399999737739563,1.9800000190734863,27.680927276611328 +1976,28,1,MVA,15-17 yrs,57,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,36.03239059448242 +1976,28,1,suicide,15-17 yrs,8,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,5.057177543640137 +1976,28,1,homicide,15-17 yrs,8,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,5.057177543640137 +1976,28,1,other external,15-17 yrs,38,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,24.021595001220703 +1976,28,1,internal,15-17 yrs,32,158191,16.000696182250977,0,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,20.228710174560547 +1976,28,1,all,18-20 yrs,201,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,132.24119567871094 +1976,28,1,MVA,18-20 yrs,80,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,52.63330841064453 +1976,28,1,suicide,18-20 yrs,10,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,6.579163551330566 +1976,28,1,homicide,18-20 yrs,21,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,13.816244125366211 +1976,28,1,other external,18-20 yrs,48,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,31.579986572265625 +1976,28,1,internal,18-20 yrs,42,151995,18.983552932739258,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,27.632488250732422 +1976,28,1,all,21-24 yrs,244,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,141.93885803222656 +1976,28,1,MVA,21-24 yrs,73,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,42.46531677246094 +1976,28,1,suicide,21-24 yrs,24,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,13.961199760437012 +1976,28,1,homicide,21-24 yrs,38,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,22.10523223876953 +1976,28,1,other external,21-24 yrs,47,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,27.340682983398438 +1976,28,1,internal,21-24 yrs,62,171905,22.445972442626953,1,0.753954291343689,1.0199999809265137,0.12999999523162842,0.8600000143051147,2.009999990463257,36.06643295288086 +1977,28,1,MVA,15-17 yrs,72,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,45.55462646484375 +1977,28,1,suicide,15-17 yrs,7,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,4.428922176361084 +1977,28,1,homicide,15-17 yrs,8,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,5.0616254806518555 +1977,28,1,other external,15-17 yrs,46,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.104345321655273 +1977,28,1,internal,15-17 yrs,30,158052,16.003284454345703,0,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,18.981094360351562 +1977,28,1,all,18-20 yrs,216,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,140.83404541015625 +1977,28,1,MVA,18-20 yrs,81,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,52.81277084350586 +1977,28,1,suicide,18-20 yrs,10,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,6.520094871520996 +1977,28,1,homicide,18-20 yrs,30,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,19.560285568237305 +1977,28,1,other external,18-20 yrs,50,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,32.6004753112793 +1977,28,1,internal,18-20 yrs,45,153372,18.990741729736328,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.34042739868164 +1977,28,1,all,21-24 yrs,277,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,158.7365264892578 +1977,28,1,MVA,21-24 yrs,86,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,49.28282165527344 +1977,28,1,suicide,21-24 yrs,19,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,10.888065338134766 +1977,28,1,homicide,21-24 yrs,51,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,29.225858688354492 +1977,28,1,other external,21-24 yrs,58,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,33.23725128173828 +1977,28,1,internal,21-24 yrs,63,174503,22.426881790161133,1,0.7079207897186279,1.0800000429153442,0.10999999940395355,0.8600000143051147,2.049999952316284,36.10253143310547 +1978,28,1,MVA,15-17 yrs,59,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,37.487449645996094 +1978,28,1,suicide,15-17 yrs,9,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,5.7184247970581055 +1978,28,1,homicide,15-17 yrs,9,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,5.7184247970581055 +1978,28,1,other external,15-17 yrs,28,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,17.7906551361084 +1978,28,1,internal,15-17 yrs,15,157386,15.998710632324219,0,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,9.530708312988281 +1978,28,1,all,18-20 yrs,228,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,147.92323303222656 +1978,28,1,MVA,18-20 yrs,112,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,72.66404724121094 +1978,28,1,suicide,18-20 yrs,15,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,9.731791496276855 +1978,28,1,homicide,18-20 yrs,24,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,15.570866584777832 +1978,28,1,other external,18-20 yrs,46,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,29.844161987304688 +1978,28,1,internal,18-20 yrs,31,154134,18.986194610595703,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,20.112369537353516 +1978,28,1,all,21-24 yrs,298,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,165.98805236816406 +1978,28,1,MVA,21-24 yrs,125,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,69.62586212158203 +1978,28,1,suicide,21-24 yrs,25,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,13.925171852111816 +1978,28,1,homicide,21-24 yrs,39,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,21.723268508911133 +1978,28,1,other external,21-24 yrs,55,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,30.635377883911133 +1978,28,1,internal,21-24 yrs,54,179531,22.439149856567383,1,0.6579754948616028,1.159999966621399,0.10000000149011612,0.9100000262260437,2.180000066757202,30.078371047973633 +1979,28,1,MVA,15-17 yrs,65,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,41.58536148071289 +1979,28,1,suicide,15-17 yrs,4,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,2.5590991973876953 +1979,28,1,homicide,15-17 yrs,12,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,7.677297592163086 +1979,28,1,other external,15-17 yrs,35,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,22.392118453979492 +1979,28,1,internal,15-17 yrs,36,156305,16.000965118408203,0,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,23.031892776489258 +1979,28,1,all,18-20 yrs,201,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,130.78785705566406 +1979,28,1,MVA,18-20 yrs,84,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,54.65760803222656 +1979,28,1,suicide,18-20 yrs,15,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,9.760287284851074 +1979,28,1,homicide,18-20 yrs,24,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,15.616459846496582 +1979,28,1,other external,18-20 yrs,42,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,27.32880401611328 +1979,28,1,internal,18-20 yrs,36,153684,18.989933013916016,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,23.42469024658203 +1979,28,1,all,21-24 yrs,299,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,164.9236602783203 +1979,28,1,MVA,21-24 yrs,103,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,56.813167572021484 +1979,28,1,suicide,21-24 yrs,22,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,12.134851455688477 +1979,28,1,homicide,21-24 yrs,48,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,26.47603988647461 +1979,28,1,other external,21-24 yrs,61,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,33.64663314819336 +1979,28,1,internal,21-24 yrs,65,181296,22.453182220458984,1,0.5909090638160706,1.149999976158142,0.10000000149011612,0.8399999737739563,2.0899999141693115,35.852970123291016 +1980,28,1,MVA,15-17 yrs,55,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,36.054935455322266 +1980,28,1,suicide,15-17 yrs,6,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,3.9332656860351562 +1980,28,1,homicide,15-17 yrs,8,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,5.244354248046875 +1980,28,1,other external,15-17 yrs,39,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,25.566226959228516 +1980,28,1,internal,15-17 yrs,23,152545,16.013301849365234,0,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,15.077518463134766 +1980,28,1,all,18-20 yrs,230,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,146.5360107421875 +1980,28,1,MVA,18-20 yrs,100,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,63.71131134033203 +1980,28,1,suicide,18-20 yrs,13,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,8.282470703125 +1980,28,1,homicide,18-20 yrs,23,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,14.65360164642334 +1980,28,1,other external,18-20 yrs,48,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,30.58142852783203 +1980,28,1,internal,18-20 yrs,46,156958,18.994558334350586,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.30720329284668 +1980,28,1,all,21-24 yrs,307,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,167.15670776367188 +1980,28,1,MVA,21-24 yrs,109,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,59.34879684448242 +1980,28,1,suicide,21-24 yrs,32,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,17.423500061035156 +1980,28,1,homicide,21-24 yrs,54,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.402156829833984 +1980,28,1,other external,21-24 yrs,58,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,31.580093383789062 +1980,28,1,internal,21-24 yrs,54,183660,22.46027946472168,1,0.5206310749053955,1.1299999952316284,0.10000000149011612,0.8600000143051147,2.0899999141693115,29.402156829833984 +1981,28,1,MVA,15-17 yrs,50,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,34.1280632019043 +1981,28,1,suicide,15-17 yrs,6,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,4.095367431640625 +1981,28,1,homicide,15-17 yrs,3,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,2.0476837158203125 +1981,28,1,other external,15-17 yrs,36,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,24.57220458984375 +1981,28,1,internal,15-17 yrs,31,146507,16.03266716003418,0,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,21.159399032592773 +1981,28,1,all,18-20 yrs,215,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,135.77003479003906 +1981,28,1,MVA,18-20 yrs,93,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,58.72843551635742 +1981,28,1,suicide,18-20 yrs,15,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,9.472328186035156 +1981,28,1,homicide,18-20 yrs,21,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,13.261259078979492 +1981,28,1,other external,18-20 yrs,48,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,30.311450958251953 +1981,28,1,internal,18-20 yrs,38,158356,19.011201858520508,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,23.996564865112305 +1981,28,1,all,21-24 yrs,286,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,152.51869201660156 +1981,28,1,MVA,21-24 yrs,114,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,60.79416275024414 +1981,28,1,suicide,21-24 yrs,34,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,18.131591796875 +1981,28,1,homicide,21-24 yrs,38,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,20.264720916748047 +1981,28,1,other external,21-24 yrs,44,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,23.464414596557617 +1981,28,1,internal,21-24 yrs,56,187518,22.459043502807617,1,0.47194716334342957,1.190000057220459,0.10999999940395355,0.8399999737739563,2.140000104904175,29.863800048828125 +1982,28,1,MVA,15-17 yrs,48,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,34.15859603881836 +1982,28,1,suicide,15-17 yrs,6,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,4.269824504852295 +1982,28,1,homicide,15-17 yrs,11,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,7.828011512756348 +1982,28,1,other external,15-17 yrs,28,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,19.92584800720215 +1982,28,1,internal,15-17 yrs,25,140521,16.033077239990234,0,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,17.790935516357422 +1982,28,1,all,18-20 yrs,195,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,123.90550231933594 +1982,28,1,MVA,18-20 yrs,84,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,53.37467575073242 +1982,28,1,suicide,18-20 yrs,13,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,8.260366439819336 +1982,28,1,homicide,18-20 yrs,29,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,18.426971435546875 +1982,28,1,other external,18-20 yrs,39,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,24.78110122680664 +1982,28,1,internal,18-20 yrs,30,157378,19.015657424926758,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,19.06238555908203 +1982,28,1,all,21-24 yrs,282,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,147.5551300048828 +1982,28,1,MVA,21-24 yrs,109,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,57.033721923828125 +1982,28,1,suicide,21-24 yrs,22,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,11.511393547058105 +1982,28,1,homicide,21-24 yrs,62,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,32.441200256347656 +1982,28,1,other external,21-24 yrs,46,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,24.069276809692383 +1982,28,1,internal,21-24 yrs,43,191115,22.444690704345703,1,0.44455957412719727,1.190000057220459,0.10999999940395355,0.8199999928474426,2.109999895095825,22.499542236328125 +1983,28,1,MVA,15-17 yrs,45,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,33.30915451049805 +1983,28,1,suicide,15-17 yrs,9,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,6.661830902099609 +1983,28,1,homicide,15-17 yrs,6,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,4.441220283508301 +1983,28,1,other external,15-17 yrs,33,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,24.426712036132812 +1983,28,1,internal,15-17 yrs,21,135098,16.014301300048828,0,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,15.544271469116211 +1983,28,1,all,18-20 yrs,192,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,124.30000305175781 +1983,28,1,MVA,18-20 yrs,81,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,52.439064025878906 +1983,28,1,suicide,18-20 yrs,21,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,13.59531307220459 +1983,28,1,homicide,18-20 yrs,21,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,13.59531307220459 +1983,28,1,other external,18-20 yrs,30,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,19.421875 +1983,28,1,internal,18-20 yrs,39,154465,19.016132354736328,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,25.248437881469727 +1983,28,1,all,21-24 yrs,251,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,129.7318572998047 +1983,28,1,MVA,21-24 yrs,95,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,49.1016960144043 +1983,28,1,suicide,21-24 yrs,22,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,11.370919227600098 +1983,28,1,homicide,21-24 yrs,33,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,17.056379318237305 +1983,28,1,other external,21-24 yrs,53,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,27.393579483032227 +1983,28,1,internal,21-24 yrs,48,193476,22.448314666748047,1,0.4307228922843933,1.190000057220459,0.10999999940395355,0.7900000214576721,2.0899999141693115,24.80927848815918 +1984,28,1,MVA,15-17 yrs,39,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,29.026927947998047 +1984,28,1,suicide,15-17 yrs,6,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,4.465681076049805 +1984,28,1,homicide,15-17 yrs,3,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,2.2328405380249023 +1984,28,1,other external,15-17 yrs,27,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,20.095565795898438 +1984,28,1,internal,15-17 yrs,28,134358,15.996278762817383,0,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,20.839845657348633 +1984,28,1,all,18-20 yrs,177,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,118.65576934814453 +1984,28,1,MVA,18-20 yrs,82,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,54.9704704284668 +1984,28,1,suicide,18-20 yrs,10,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,6.703715801239014 +1984,28,1,homicide,18-20 yrs,21,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,14.077803611755371 +1984,28,1,other external,18-20 yrs,27,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,18.100032806396484 +1984,28,1,internal,18-20 yrs,37,149171,19.032981872558594,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,24.803749084472656 +1984,28,1,all,21-24 yrs,226,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,116.88103485107422 +1984,28,1,MVA,21-24 yrs,75,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,38.7879524230957 +1984,28,1,suicide,21-24 yrs,30,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,15.515181541442871 +1984,28,1,homicide,21-24 yrs,35,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,18.101045608520508 +1984,28,1,other external,21-24 yrs,37,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,19.135391235351562 +1984,28,1,internal,21-24 yrs,49,193359,22.466676712036133,1,0.412896990776062,1.190000057220459,0.10999999940395355,0.7699999809265137,2.059999942779541,25.341463088989258 +1985,28,1,MVA,15-17 yrs,37,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,27.10205841064453 +1985,28,1,suicide,15-17 yrs,8,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,5.8599042892456055 +1985,28,1,homicide,15-17 yrs,8,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,5.8599042892456055 +1985,28,1,other external,15-17 yrs,21,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.382248878479004 +1985,28,1,internal,15-17 yrs,22,136521,15.978340148925781,0,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,16.114736557006836 +1985,28,1,all,18-20 yrs,170,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,118.79887390136719 +1985,28,1,MVA,18-20 yrs,70,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,48.91718292236328 +1985,28,1,suicide,18-20 yrs,15,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,10.482253074645996 +1985,28,1,homicide,18-20 yrs,21,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,14.675154685974121 +1985,28,1,other external,18-20 yrs,34,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,23.759775161743164 +1985,28,1,internal,18-20 yrs,30,143099,19.02985382080078,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,20.964506149291992 +1985,28,1,all,21-24 yrs,248,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,130.24594116210938 +1985,28,1,MVA,21-24 yrs,102,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,53.56889724731445 +1985,28,1,suicide,21-24 yrs,29,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.230372428894043 +1985,28,1,homicide,21-24 yrs,29,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,15.230372428894043 +1985,28,1,other external,21-24 yrs,32,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,16.80592918395996 +1985,28,1,internal,21-24 yrs,56,190409,22.48297691345215,1,0.3986988961696625,1.2100000381469727,0.10000000149011612,0.7300000190734863,2.0399999618530273,29.41037368774414 +1986,28,0.7479451894760132,MVA,15-17 yrs,53,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,37.91781234741211 +1986,28,0.7479451894760132,suicide,15-17 yrs,9,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,6.438873767852783 +1986,28,0.7479451894760132,homicide,15-17 yrs,11,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,7.869734287261963 +1986,28,0.7479451894760132,other external,15-17 yrs,20,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,14.308608055114746 +1986,28,0.7479451894760132,internal,15-17 yrs,28,139776,15.978350639343262,0,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,20.03205108642578 +1986,28,0.7479451894760132,all,18-20 yrs,173,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,125.34778594970703 +1986,28,0.7479451894760132,MVA,18-20 yrs,82,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,59.41340255737305 +1986,28,0.7479451894760132,suicide,18-20 yrs,14,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,10.14375114440918 +1986,28,0.7479451894760132,homicide,18-20 yrs,25,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,18.113842010498047 +1986,28,0.7479451894760132,other external,18-20 yrs,25,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,18.113842010498047 +1986,28,0.7479451894760132,internal,18-20 yrs,27,138016,19.011201858520508,0.7479451894760132,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,19.562950134277344 +1986,28,0.7479451894760132,all,21-24 yrs,257,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,138.58929443359375 +1986,28,0.7479451894760132,MVA,21-24 yrs,94,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,50.690250396728516 +1986,28,0.7479451894760132,suicide,21-24 yrs,32,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,17.256256103515625 +1986,28,0.7479451894760132,homicide,21-24 yrs,41,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,22.109577178955078 +1986,28,0.7479451894760132,other external,21-24 yrs,36,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,19.413288116455078 +1986,28,0.7479451894760132,internal,21-24 yrs,54,185440,22.487558364868164,1,0.3914233446121216,1.2599999904632568,0.10000000149011612,0.6800000071525574,2.0399999618530273,29.119930267333984 +1987,28,0,MVA,15-17 yrs,52,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,37.40388107299805 +1987,28,0,suicide,15-17 yrs,11,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,7.912359714508057 +1987,28,0,homicide,15-17 yrs,4,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,2.8772218227386475 +1987,28,0,other external,15-17 yrs,15,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,10.789581298828125 +1987,28,0,internal,15-17 yrs,22,139023,16.006855010986328,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,15.824719429016113 +1987,28,0,all,18-20 yrs,158,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,115.44390869140625 +1987,28,0,MVA,18-20 yrs,82,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,59.9139289855957 +1987,28,0,suicide,18-20 yrs,7,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,5.114603519439697 +1987,28,0,homicide,18-20 yrs,21,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,15.34381103515625 +1987,28,0,other external,18-20 yrs,20,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,14.613153457641602 +1987,28,0,internal,18-20 yrs,28,136863,18.99264144897461,0,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,20.45841407775879 +1987,28,0,all,21-24 yrs,234,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,132.89715576171875 +1987,28,0,MVA,21-24 yrs,98,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,55.65778350830078 +1987,28,0,suicide,21-24 yrs,17,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,9.654921531677246 +1987,28,0,homicide,21-24 yrs,33,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,18.741907119750977 +1987,28,0,other external,21-24 yrs,38,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,21.58159065246582 +1987,28,0,internal,21-24 yrs,48,176076,22.500869750976562,1,0.37764084339141846,1.2599999904632568,0.09000000357627869,0.6600000262260437,2.009999990463257,27.260955810546875 +1988,28,0,MVA,15-17 yrs,53,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,39.283119201660156 +1988,28,0,suicide,15-17 yrs,17,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,12.60024642944336 +1988,28,0,homicide,15-17 yrs,7,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,5.1883368492126465 +1988,28,0,other external,15-17 yrs,17,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,12.60024642944336 +1988,28,0,internal,15-17 yrs,25,134918,16.030752182006836,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,18.529773712158203 +1988,28,0,all,18-20 yrs,155,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,112.14168548583984 +1988,28,0,MVA,18-20 yrs,74,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,53.538612365722656 +1988,28,0,suicide,18-20 yrs,15,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,10.852421760559082 +1988,28,0,homicide,18-20 yrs,18,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,13.022906303405762 +1988,28,0,other external,18-20 yrs,18,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,13.022906303405762 +1988,28,0,internal,18-20 yrs,30,138218,18.973628997802734,0,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,21.704843521118164 +1988,28,0,all,21-24 yrs,215,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,129.05239868164062 +1988,28,0,MVA,21-24 yrs,91,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,54.62217712402344 +1988,28,0,suicide,21-24 yrs,13,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,7.803168296813965 +1988,28,0,homicide,21-24 yrs,26,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,15.60633659362793 +1988,28,0,other external,21-24 yrs,37,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,22.209016799926758 +1988,28,0,internal,21-24 yrs,48,166599,22.50385093688965,1,0.36263734102249146,1.2799999713897705,0.09000000357627869,0.6600000262260437,2.0299999713897705,28.811697006225586 +1989,28,0,MVA,15-17 yrs,43,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,33.46615982055664 +1989,28,0,suicide,15-17 yrs,8,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,6.22626256942749 +1989,28,0,homicide,15-17 yrs,7,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,5.44797945022583 +1989,28,0,other external,15-17 yrs,20,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.565655708312988 +1989,28,0,internal,15-17 yrs,28,128488,16.027753829956055,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,21.79191780090332 +1989,28,0,all,18-20 yrs,168,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,118.7337875366211 +1989,28,0,MVA,18-20 yrs,88,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,62.19388961791992 +1989,28,0,suicide,18-20 yrs,19,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,13.428226470947266 +1989,28,0,homicide,18-20 yrs,20,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.134974479675293 +1989,28,0,other external,18-20 yrs,20,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.134974479675293 +1989,28,0,internal,18-20 yrs,21,141493,18.971786499023438,0,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,14.841723442077637 +1989,28,0,all,21-24 yrs,207,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,131.23692321777344 +1989,28,0,MVA,21-24 yrs,87,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,55.15754699707031 +1989,28,0,suicide,21-24 yrs,24,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.215875625610352 +1989,28,0,homicide,21-24 yrs,32,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,20.28783416748047 +1989,28,0,other external,21-24 yrs,25,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,15.849869728088379 +1989,28,0,internal,21-24 yrs,39,157730,22.48860740661621,1,0.34596773982048035,1.2599999904632568,0.09000000357627869,0.6499999761581421,2,24.725797653198242 +1990,28,0,MVA,15-17 yrs,56,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,45.05229187011719 +1990,28,0,suicide,15-17 yrs,9,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,7.240547180175781 +1990,28,0,homicide,15-17 yrs,11,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,8.849557876586914 +1990,28,0,other external,15-17 yrs,27,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,21.721641540527344 +1990,28,0,internal,15-17 yrs,17,124300,16.021102905273438,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.676589012145996 +1990,28,0,all,18-20 yrs,195,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,135.8468475341797 +1990,28,0,MVA,18-20 yrs,93,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,64.78849792480469 +1990,28,0,suicide,18-20 yrs,16,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,11.146408081054688 +1990,28,0,homicide,18-20 yrs,34,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,23.68611717224121 +1990,28,0,other external,18-20 yrs,25,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,17.416261672973633 +1990,28,0,internal,18-20 yrs,27,143544,19.006568908691406,0,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,18.80956268310547 +1990,28,0,all,21-24 yrs,250,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,161.84686279296875 +1990,28,0,MVA,21-24 yrs,107,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,69.27046203613281 +1990,28,0,suicide,21-24 yrs,21,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.595136642456055 +1990,28,0,homicide,21-24 yrs,46,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,29.779823303222656 +1990,28,0,other external,21-24 yrs,21,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,13.595136642456055 +1990,28,0,internal,21-24 yrs,55,154467,22.445783615112305,1,0.3282325863838196,1.340000033378601,0.09000000357627869,0.6499999761581421,2.0799999237060547,35.6063117980957 +1991,28,0,MVA,15-17 yrs,58,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,46.75571823120117 +1991,28,0,suicide,15-17 yrs,14,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,11.285862922668457 +1991,28,0,homicide,15-17 yrs,17,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,13.704261779785156 +1991,28,0,other external,15-17 yrs,20,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,16.122661590576172 +1991,28,0,internal,15-17 yrs,21,124049,16.01687240600586,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,16.928794860839844 +1991,28,0,all,18-20 yrs,195,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,139.4640350341797 +1991,28,0,MVA,18-20 yrs,90,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,64.368011474609375 +1991,28,0,suicide,18-20 yrs,11,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,7.867201805114746 +1991,28,0,homicide,18-20 yrs,44,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,31.468807220458984 +1991,28,0,other external,18-20 yrs,25,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,17.880002975463867 +1991,28,0,internal,18-20 yrs,25,139821,19.050514221191406,0,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,17.880002975463867 +1991,28,0,all,21-24 yrs,225,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,140.6627960205078 +1991,28,0,MVA,21-24 yrs,79,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,49.38827133178711 +1991,28,0,suicide,21-24 yrs,22,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,13.75369644165039 +1991,28,0,homicide,21-24 yrs,42,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,26.257057189941406 +1991,28,0,other external,21-24 yrs,25,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,15.629199981689453 +1991,28,0,internal,21-24 yrs,57,159957,22.4105224609375,1,0.3149779736995697,1.3200000524520874,0.09000000357627869,0.6399999856948853,2.049999952316284,35.63457489013672 +1992,28,0,MVA,15-17 yrs,45,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,35.4911994934082 +1992,28,0,suicide,15-17 yrs,7,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,5.520853042602539 +1992,28,0,homicide,15-17 yrs,19,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,14.985172271728516 +1992,28,0,other external,15-17 yrs,15,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,11.830399513244629 +1992,28,0,internal,15-17 yrs,24,126792,16.006656646728516,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.928638458251953 +1992,28,0,all,18-20 yrs,198,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,149.1132354736328 +1992,28,0,MVA,18-20 yrs,83,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,62.50706100463867 +1992,28,0,suicide,18-20 yrs,25,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.82742691040039 +1992,28,0,homicide,18-20 yrs,46,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,34.6424674987793 +1992,28,0,other external,18-20 yrs,20,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,15.061942100524902 +1992,28,0,internal,18-20 yrs,24,132785,19.042285919189453,0,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,18.074331283569336 +1992,28,0,all,21-24 yrs,270,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,160.7171630859375 +1992,28,0,MVA,21-24 yrs,91,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,54.167633056640625 +1992,28,0,suicide,21-24 yrs,28,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,16.666963577270508 +1992,28,0,homicide,21-24 yrs,77,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,45.83415222167969 +1992,28,0,other external,21-24 yrs,28,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,16.666963577270508 +1992,28,0,internal,21-24 yrs,46,167997,22.397071838378906,1,0.3057733178138733,1.350000023841858,0.09000000357627869,0.6299999952316284,2.0799999237060547,27.381441116333008 +1993,28,0,MVA,15-17 yrs,59,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,45.83164978027344 +1993,28,0,suicide,15-17 yrs,18,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.982537269592285 +1993,28,0,homicide,15-17 yrs,26,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,20.196998596191406 +1993,28,0,other external,15-17 yrs,16,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,12.428921699523926 +1993,28,0,internal,15-17 yrs,24,128732,16.000892639160156,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,18.643383026123047 +1993,28,0,all,18-20 yrs,187,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,144.0056610107422 +1993,28,0,MVA,18-20 yrs,82,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,63.14686965942383 +1993,28,0,suicide,18-20 yrs,24,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,18.482011795043945 +1993,28,0,homicide,18-20 yrs,46,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,35.42385482788086 +1993,28,0,other external,18-20 yrs,18,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.8615083694458 +1993,28,0,internal,18-20 yrs,17,129856,19.01005744934082,0,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.091423988342285 +1993,28,0,all,21-24 yrs,285,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,163.30599975585938 +1993,28,0,MVA,21-24 yrs,94,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,53.86233139038086 +1993,28,0,suicide,21-24 yrs,26,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,14.898091316223145 +1993,28,0,homicide,21-24 yrs,81,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,46.41328430175781 +1993,28,0,other external,21-24 yrs,24,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,13.752084732055664 +1993,28,0,internal,21-24 yrs,60,174519,22.438329696655273,1,0.29688581824302673,1.3700000047683716,0.10000000149011612,0.6299999952316284,2.109999895095825,34.380210876464844 +1994,28,0,MVA,15-17 yrs,52,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,39.34297180175781 +1994,28,0,suicide,15-17 yrs,13,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,9.835742950439453 +1994,28,0,homicide,15-17 yrs,30,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,22.69786834716797 +1994,28,0,other external,15-17 yrs,20,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,15.131912231445312 +1994,28,0,internal,15-17 yrs,23,132171,16.00772476196289,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,17.40169906616211 +1994,28,0,all,18-20 yrs,190,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,146.2235870361328 +1994,28,0,MVA,18-20 yrs,85,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,65.41581726074219 +1994,28,0,suicide,18-20 yrs,15,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,11.543967247009277 +1994,28,0,homicide,18-20 yrs,54,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,41.55828094482422 +1994,28,0,other external,18-20 yrs,18,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,13.852760314941406 +1994,28,0,internal,18-20 yrs,18,129938,19.006988525390625,0,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,13.852760314941406 +1994,28,0,all,21-24 yrs,278,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,159.18643188476562 +1994,28,0,MVA,21-24 yrs,93,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,53.253013610839844 +1994,28,0,suicide,21-24 yrs,32,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,18.323617935180664 +1994,28,0,homicide,21-24 yrs,54,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,30.921104431152344 +1994,28,0,other external,21-24 yrs,29,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,16.60577964782715 +1994,28,0,internal,21-24 yrs,70,174638,22.506343841552734,1,0.28947368264198303,1.2799999713897705,0.07999999821186066,0.6299999952316284,2,40.082916259765625 +1995,28,0,MVA,15-17 yrs,62,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,45.664119720458984 +1995,28,0,suicide,15-17 yrs,14,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,10.31125259399414 +1995,28,0,homicide,15-17 yrs,25,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,18.41295051574707 +1995,28,0,other external,15-17 yrs,17,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,12.520806312561035 +1995,28,0,internal,15-17 yrs,25,135774,15.995095252990723,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,18.41295051574707 +1995,28,0,all,18-20 yrs,172,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,129.8563995361328 +1995,28,0,MVA,18-20 yrs,68,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,51.33857727050781 +1995,28,0,suicide,18-20 yrs,21,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,15.854560852050781 +1995,28,0,homicide,18-20 yrs,34,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,25.669288635253906 +1995,28,0,other external,18-20 yrs,26,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,19.62945556640625 +1995,28,0,internal,18-20 yrs,23,132454,19.000022888183594,0,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,17.364519119262695 +1995,28,0,all,21-24 yrs,245,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,143.29832458496094 +1995,28,0,MVA,21-24 yrs,99,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,57.90421676635742 +1995,28,0,suicide,21-24 yrs,28,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,16.376951217651367 +1995,28,0,homicide,21-24 yrs,50,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,29.24455451965332 +1995,28,0,other external,21-24 yrs,29,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,16.961841583251953 +1995,28,0,internal,21-24 yrs,39,170972,22.536632537841797,1,0.2814960777759552,1.3600000143051147,0.09000000357627869,0.6100000143051147,2.059999942779541,22.810752868652344 +1996,28,0,MVA,15-17 yrs,55,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,39.83803939819336 +1996,28,0,suicide,15-17 yrs,5,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,3.6216399669647217 +1996,28,0,homicide,15-17 yrs,21,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,15.210887908935547 +1996,28,0,other external,15-17 yrs,24,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,17.383872985839844 +1996,28,0,internal,15-17 yrs,27,138059,16.00477409362793,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,19.556856155395508 +1996,28,0,all,18-20 yrs,206,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,153.73593139648438 +1996,28,0,MVA,18-20 yrs,94,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,70.1513442993164 +1996,28,0,suicide,18-20 yrs,16,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,11.940654754638672 +1996,28,0,homicide,18-20 yrs,40,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,29.85163688659668 +1996,28,0,other external,18-20 yrs,25,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,18.65727424621582 +1996,28,0,internal,18-20 yrs,31,133996,18.99472427368164,0,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,23.135019302368164 +1996,28,0,all,21-24 yrs,230,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,139.3643798828125 +1996,28,0,MVA,21-24 yrs,94,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,56.95761489868164 +1996,28,0,suicide,21-24 yrs,25,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,15.14830207824707 +1996,28,0,homicide,21-24 yrs,52,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,31.508468627929688 +1996,28,0,other external,21-24 yrs,19,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,11.512709617614746 +1996,28,0,internal,21-24 yrs,40,165035,22.504608154296875,1,0.27342256903648376,1.3700000047683716,0.09000000357627869,0.6200000047683716,2.0799999237060547,24.23728370666504 +1970,29,0,MVA,15-17 yrs,100,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,38.05928039550781 +1970,29,0,suicide,15-17 yrs,15,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,5.708892345428467 +1970,29,0,homicide,15-17 yrs,24,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,9.134227752685547 +1970,29,0,other external,15-17 yrs,56,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,21.31319808959961 +1970,29,0,internal,15-17 yrs,76,262748,15.977225303649902,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,28.9250545501709 +1970,29,0,all,18-20 yrs,394,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,161.68812561035156 +1970,29,0,MVA,18-20 yrs,181,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,74.278045654296875 +1970,29,0,suicide,18-20 yrs,23,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,9.43864631652832 +1970,29,0,homicide,18-20 yrs,42,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,17.235790252685547 +1970,29,0,other external,18-20 yrs,57,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,23.391427993774414 +1970,29,0,internal,18-20 yrs,91,243679,18.96086311340332,0,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,37.34421157836914 +1970,29,0,all,21-24 yrs,456,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,163.65965270996094 +1970,29,0,MVA,21-24 yrs,168,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,60.2956657409668 +1970,29,0,suicide,21-24 yrs,25,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,8.972569465637207 +1970,29,0,homicide,21-24 yrs,60,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,21.53416633605957 +1970,29,0,other external,21-24 yrs,65,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,23.32868003845215 +1970,29,0,internal,21-24 yrs,138,278627,22.430492401123047,1,0.07731958478689194,1.1200000047683716,0.1899999976158142,1,2.319999933242798,49.52857971191406 +1971,29,0,MVA,15-17 yrs,119,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,43.94841384887695 +1971,29,0,suicide,15-17 yrs,12,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,4.431772708892822 +1971,29,0,homicide,15-17 yrs,27,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,9.971488952636719 +1971,29,0,other external,15-17 yrs,68,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,25.113380432128906 +1971,29,0,internal,15-17 yrs,74,270772,15.983738899230957,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,27.329265594482422 +1971,29,0,all,18-20 yrs,341,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,134.32177734375 +1971,29,0,MVA,18-20 yrs,163,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,64.20659637451172 +1971,29,0,suicide,18-20 yrs,19,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,7.484204292297363 +1971,29,0,homicide,18-20 yrs,26,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,10.24154281616211 +1971,29,0,other external,18-20 yrs,50,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,19.695274353027344 +1971,29,0,internal,18-20 yrs,83,253868,18.983932495117188,0,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,32.694156646728516 +1971,29,0,all,21-24 yrs,457,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,149.35031127929688 +1971,29,0,MVA,21-24 yrs,177,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,57.84465026855469 +1971,29,0,suicide,21-24 yrs,33,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,10.784595489501953 +1971,29,0,homicide,21-24 yrs,54,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,17.647520065307617 +1971,29,0,other external,21-24 yrs,76,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,24.837249755859375 +1971,29,0,internal,21-24 yrs,117,305992,22.541017532348633,1,0.14814814925193787,1.1299999952316284,0.1899999976158142,0.9399999976158142,2.2699999809265137,38.23629379272461 +1972,29,0,MVA,15-17 yrs,140,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,50.337440490722656 +1972,29,0,suicide,15-17 yrs,18,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,6.471956729888916 +1972,29,0,homicide,15-17 yrs,28,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,10.067487716674805 +1972,29,0,other external,15-17 yrs,74,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,26.60693359375 +1972,29,0,internal,15-17 yrs,60,278123,15.979635238647461,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,21.57318878173828 +1972,29,0,all,18-20 yrs,358,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,138.94387817382812 +1972,29,0,MVA,18-20 yrs,188,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,72.964935302734375 +1972,29,0,suicide,18-20 yrs,16,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,6.209782123565674 +1972,29,0,homicide,18-20 yrs,42,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,16.300678253173828 +1972,29,0,other external,18-20 yrs,52,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,20.181791305541992 +1972,29,0,internal,18-20 yrs,60,257658,18.977548599243164,0,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,23.28668212890625 +1972,29,0,all,21-24 yrs,396,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,130.26187133789062 +1972,29,0,MVA,21-24 yrs,142,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,46.71006393432617 +1972,29,0,suicide,21-24 yrs,38,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,12.499876976013184 +1972,29,0,homicide,21-24 yrs,52,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,17.10509490966797 +1972,29,0,other external,21-24 yrs,68,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,22.368200302124023 +1972,29,0,internal,21-24 yrs,96,304003,22.492385864257812,1,0.1435406655073166,1.1299999952316284,0.1899999976158142,0.9200000166893005,2.240000009536743,31.578636169433594 +1973,29,0,MVA,15-17 yrs,137,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,48.4167366027832 +1973,29,0,suicide,15-17 yrs,8,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,2.8272547721862793 +1973,29,0,homicide,15-17 yrs,27,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,9.541984558105469 +1973,29,0,other external,15-17 yrs,58,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,20.497596740722656 +1973,29,0,internal,15-17 yrs,74,282960,15.985376358032227,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,26.15210723876953 +1973,29,0,all,18-20 yrs,396,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,150.02784729003906 +1973,29,0,MVA,18-20 yrs,182,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,68.95219421386719 +1973,29,0,suicide,18-20 yrs,32,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,12.123462677001953 +1973,29,0,homicide,18-20 yrs,39,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,14.775469779968262 +1973,29,0,other external,18-20 yrs,66,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,25.004640579223633 +1973,29,0,internal,18-20 yrs,77,263951,18.977230072021484,0,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,29.172080993652344 +1973,29,0,all,21-24 yrs,444,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,143.48963928222656 +1973,29,0,MVA,21-24 yrs,152,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,49.122581481933594 +1973,29,0,suicide,21-24 yrs,39,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,12.603819847106934 +1973,29,0,homicide,21-24 yrs,67,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,21.6527156829834 +1973,29,0,other external,21-24 yrs,76,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,24.561290740966797 +1973,29,0,internal,21-24 yrs,110,309430,22.48242950439453,1,0.13513512909412384,1.149999976158142,0.20000000298023224,0.8500000238418579,2.200000047683716,35.54923629760742 +1974,29,0,MVA,15-17 yrs,99,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,34.660953521728516 +1974,29,0,suicide,15-17 yrs,15,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,5.251659393310547 +1974,29,0,homicide,15-17 yrs,28,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,9.80309772491455 +1974,29,0,other external,15-17 yrs,61,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,21.356748580932617 +1974,29,0,internal,15-17 yrs,65,285624,15.996075630187988,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,22.757190704345703 +1974,29,0,all,18-20 yrs,325,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,119.51121520996094 +1974,29,0,MVA,18-20 yrs,125,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,45.96585464477539 +1974,29,0,suicide,18-20 yrs,23,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,8.457716941833496 +1974,29,0,homicide,18-20 yrs,43,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,15.81225299835205 +1974,29,0,other external,18-20 yrs,71,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,26.108604431152344 +1974,29,0,internal,18-20 yrs,63,271941,18.985464096069336,0,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,23.166790008544922 +1974,29,0,all,21-24 yrs,454,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,143.81971740722656 +1974,29,0,MVA,21-24 yrs,121,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,38.33080291748047 +1974,29,0,suicide,21-24 yrs,55,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,17.423093795776367 +1974,29,0,homicide,21-24 yrs,73,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,23.12519645690918 +1974,29,0,other external,21-24 yrs,83,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,26.293031692504883 +1974,29,0,internal,21-24 yrs,122,315673,22.47670555114746,1,0.1217038556933403,1.1799999475479126,0.18000000715255737,0.9100000262260437,2.2699999809265137,38.647586822509766 +1975,29,0,MVA,15-17 yrs,88,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,30.755895614624023 +1975,29,0,suicide,15-17 yrs,19,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,6.640477657318115 +1975,29,0,homicide,15-17 yrs,32,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,11.183961868286133 +1975,29,0,other external,15-17 yrs,62,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,21.668926239013672 +1975,29,0,internal,15-17 yrs,77,286124,15.995781898498535,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,26.911409378051758 +1975,29,0,all,18-20 yrs,384,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,138.40032958984375 +1975,29,0,MVA,18-20 yrs,148,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,53.34178924560547 +1975,29,0,suicide,18-20 yrs,25,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,9.010437965393066 +1975,29,0,homicide,18-20 yrs,54,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,19.46254539489746 +1975,29,0,other external,18-20 yrs,67,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,24.147972106933594 +1975,29,0,internal,18-20 yrs,90,277456,18.98080825805664,0,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,32.43757629394531 +1975,29,0,all,21-24 yrs,436,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,134.95693969726562 +1975,29,0,MVA,21-24 yrs,134,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,41.47759246826172 +1975,29,0,suicide,21-24 yrs,37,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,11.452768325805664 +1975,29,0,homicide,21-24 yrs,82,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,25.381811141967773 +1975,29,0,other external,21-24 yrs,69,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,21.357864379882812 +1975,29,0,internal,21-24 yrs,114,323066,22.477195739746094,1,0.11152416467666626,1.2100000381469727,0.20000000298023224,0.8899999856948853,2.299999952316284,35.28690719604492 +1976,29,0,MVA,15-17 yrs,132,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,45.798667907714844 +1976,29,0,suicide,15-17 yrs,20,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,6.939191818237305 +1976,29,0,homicide,15-17 yrs,28,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,9.714868545532227 +1976,29,0,other external,15-17 yrs,54,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,18.73581886291504 +1976,29,0,internal,15-17 yrs,63,288218,15.993494033813477,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,21.85845375061035 +1976,29,0,all,18-20 yrs,386,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,136.3634796142578 +1976,29,0,MVA,18-20 yrs,171,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,60.409725189208984 +1976,29,0,suicide,18-20 yrs,29,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,10.244924545288086 +1976,29,0,homicide,18-20 yrs,60,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,21.196395874023438 +1976,29,0,other external,18-20 yrs,47,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,16.603843688964844 +1976,29,0,internal,18-20 yrs,79,283067,18.98546600341797,0,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,27.908586502075195 +1976,29,0,all,21-24 yrs,465,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,140.65122985839844 +1976,29,0,MVA,21-24 yrs,159,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,48.09364700317383 +1976,29,0,suicide,21-24 yrs,45,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,13.611409187316895 +1976,29,0,homicide,21-24 yrs,68,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,20.56835174560547 +1976,29,0,other external,21-24 yrs,81,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,24.50053596496582 +1976,29,0,internal,21-24 yrs,112,330605,22.468414306640625,1,0.1054481491446495,1.190000057220459,0.20000000298023224,0.8100000023841858,2.200000047683716,33.87728500366211 +1977,29,0,MVA,15-17 yrs,123,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,42.683433532714844 +1977,29,0,suicide,15-17 yrs,15,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,5.205296993255615 +1977,29,0,homicide,15-17 yrs,22,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,7.634435653686523 +1977,29,0,other external,15-17 yrs,40,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,13.880791664123535 +1977,29,0,internal,15-17 yrs,71,288168,16.000194549560547,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,24.638404846191406 +1977,29,0,all,18-20 yrs,374,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,131.15904235839844 +1977,29,0,MVA,18-20 yrs,142,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,49.7983512878418 +1977,29,0,suicide,18-20 yrs,35,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,12.27424144744873 +1977,29,0,homicide,18-20 yrs,61,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,21.392250061035156 +1977,29,0,other external,18-20 yrs,66,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,23.14571189880371 +1977,29,0,internal,18-20 yrs,70,285150,18.99419593811035,0,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,24.54848289489746 +1977,29,0,all,21-24 yrs,478,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,141.9501190185547 +1977,29,0,MVA,21-24 yrs,166,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,49.296485900878906 +1977,29,0,suicide,21-24 yrs,65,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,19.302841186523438 +1977,29,0,homicide,21-24 yrs,72,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,21.381608963012695 +1977,29,0,other external,21-24 yrs,59,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,17.521039962768555 +1977,29,0,internal,21-24 yrs,116,336738,22.471153259277344,1,0.09900990128517151,1.2300000190734863,0.1899999976158142,0.8299999833106995,2.25,34.44814682006836 +1978,29,0,MVA,15-17 yrs,119,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,41.6242561340332 +1978,29,0,suicide,15-17 yrs,16,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,5.596538543701172 +1978,29,0,homicide,15-17 yrs,23,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,8.045023918151855 +1978,29,0,other external,15-17 yrs,52,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,18.188749313354492 +1978,29,0,internal,15-17 yrs,47,285891,16.013591766357422,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,16.43983268737793 +1978,29,0,all,18-20 yrs,386,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,135.46426391601562 +1978,29,0,MVA,18-20 yrs,173,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,60.7132568359375 +1978,29,0,suicide,18-20 yrs,38,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,13.335860252380371 +1978,29,0,homicide,18-20 yrs,43,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,15.09057903289795 +1978,29,0,other external,18-20 yrs,66,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,23.162282943725586 +1978,29,0,internal,18-20 yrs,66,284946,18.990949630737305,0,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,23.162282943725586 +1978,29,0,all,21-24 yrs,468,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,136.0227813720703 +1978,29,0,MVA,21-24 yrs,138,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,40.109283447265625 +1978,29,0,suicide,21-24 yrs,55,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,15.985584259033203 +1978,29,0,homicide,21-24 yrs,92,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,26.73952293395996 +1978,29,0,other external,21-24 yrs,94,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,27.320816040039062 +1978,29,0,internal,21-24 yrs,89,344060,22.47334098815918,1,0.0920245423913002,1.309999942779541,0.20000000298023224,0.8899999856948853,2.4000000953674316,25.86758041381836 +1979,29,0,MVA,15-17 yrs,129,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,46.22694778442383 +1979,29,0,suicide,15-17 yrs,14,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,5.016878128051758 +1979,29,0,homicide,15-17 yrs,17,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,6.091923713684082 +1979,29,0,other external,15-17 yrs,41,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,14.692286491394043 +1979,29,0,internal,15-17 yrs,57,279058,16.01773452758789,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,20.425861358642578 +1979,29,0,all,18-20 yrs,406,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,141.72463989257812 +1979,29,0,MVA,18-20 yrs,158,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,55.15392303466797 +1979,29,0,suicide,18-20 yrs,37,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,12.915792465209961 +1979,29,0,homicide,18-20 yrs,68,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,23.737133026123047 +1979,29,0,other external,18-20 yrs,61,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,21.293603897094727 +1979,29,0,internal,18-20 yrs,82,286471,18.9873104095459,0,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,28.624189376831055 +1979,29,0,all,21-24 yrs,508,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,145.33511352539062 +1979,29,0,MVA,21-24 yrs,164,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,46.91920852661133 +1979,29,0,suicide,21-24 yrs,62,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,17.737751007080078 +1979,29,0,homicide,21-24 yrs,104,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,29.753644943237305 +1979,29,0,other external,21-24 yrs,81,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,23.173511505126953 +1979,29,0,internal,21-24 yrs,97,349537,22.47931480407715,1,0.08264462649822235,1.3700000047683716,0.20000000298023224,0.8600000143051147,2.430000066757202,27.750995635986328 +1980,29,0,MVA,15-17 yrs,127,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,47.390533447265625 +1980,29,0,suicide,15-17 yrs,21,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,7.836230278015137 +1980,29,0,homicide,15-17 yrs,26,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,9.70199966430664 +1980,29,0,other external,15-17 yrs,40,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,14.926153182983398 +1980,29,0,internal,15-17 yrs,52,267986,16.024179458618164,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,19.40399932861328 +1980,29,0,all,18-20 yrs,413,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,145.59530639648438 +1980,29,0,MVA,18-20 yrs,178,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,62.750518798828125 +1980,29,0,suicide,18-20 yrs,38,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,13.396178245544434 +1980,29,0,homicide,18-20 yrs,59,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,20.799327850341797 +1980,29,0,other external,18-20 yrs,57,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,20.094266891479492 +1980,29,0,internal,18-20 yrs,81,283663,19.001014709472656,0,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,28.555009841918945 +1980,29,0,all,21-24 yrs,489,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,138.3290252685547 +1980,29,0,MVA,21-24 yrs,157,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,44.412384033203125 +1980,29,0,suicide,21-24 yrs,57,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,16.12424087524414 +1980,29,0,homicide,21-24 yrs,99,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,28.00526237487793 +1980,29,0,other external,21-24 yrs,67,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,18.95305633544922 +1980,29,0,internal,21-24 yrs,109,353505,22.484909057617188,1,0.07281553000211716,1.3899999856948853,0.20000000298023224,0.8399999737739563,2.440000057220459,30.834075927734375 +1981,29,0,MVA,15-17 yrs,82,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,32.32469940185547 +1981,29,0,suicide,15-17 yrs,16,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,6.307258129119873 +1981,29,0,homicide,15-17 yrs,18,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,7.095665454864502 +1981,29,0,other external,15-17 yrs,33,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,13.008719444274902 +1981,29,0,internal,15-17 yrs,42,253676,16.03761100769043,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.55655288696289 +1981,29,0,all,18-20 yrs,300,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,106.7323226928711 +1981,29,0,MVA,18-20 yrs,140,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,49.808414459228516 +1981,29,0,suicide,18-20 yrs,24,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,8.538585662841797 +1981,29,0,homicide,18-20 yrs,43,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,15.298298835754395 +1981,29,0,other external,18-20 yrs,48,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,17.077171325683594 +1981,29,0,internal,18-20 yrs,45,281077,19.021677017211914,0,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.00984764099121 +1981,29,0,all,21-24 yrs,462,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,129.49374389648438 +1981,29,0,MVA,21-24 yrs,139,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,38.96023941040039 +1981,29,0,suicide,21-24 yrs,60,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,16.81736946105957 +1981,29,0,homicide,21-24 yrs,89,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,24.945764541625977 +1981,29,0,other external,21-24 yrs,75,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,21.021711349487305 +1981,29,0,internal,21-24 yrs,99,356774,22.491539001464844,1,0.066006600856781,1.399999976158142,0.20999999344348907,0.8299999833106995,2.450000047683716,27.748659133911133 +1982,29,0,MVA,15-17 yrs,81,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,33.83981704711914 +1982,29,0,suicide,15-17 yrs,14,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,5.848857402801514 +1982,29,0,homicide,15-17 yrs,21,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,8.773285865783691 +1982,29,0,other external,15-17 yrs,30,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,12.533265113830566 +1982,29,0,internal,15-17 yrs,61,239363,16.031082153320312,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,25.48430633544922 +1982,29,0,all,18-20 yrs,305,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,111.9849624633789 +1982,29,0,MVA,18-20 yrs,119,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,43.6924934387207 +1982,29,0,suicide,18-20 yrs,33,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,12.116405487060547 +1982,29,0,homicide,18-20 yrs,50,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,18.358190536499023 +1982,29,0,other external,18-20 yrs,49,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,17.991025924682617 +1982,29,0,internal,18-20 yrs,54,272358,19.02532386779785,0,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,19.826845169067383 +1982,29,0,all,21-24 yrs,406,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,113.45694732666016 +1982,29,0,MVA,21-24 yrs,128,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,35.769676208496094 +1982,29,0,suicide,21-24 yrs,48,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,13.413628578186035 +1982,29,0,homicide,21-24 yrs,72,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,20.12044334411621 +1982,29,0,other external,21-24 yrs,60,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,16.76703643798828 +1982,29,0,internal,21-24 yrs,98,357845,22.479263305664062,1,0.062176164239645004,1.3799999952316284,0.20999999344348907,0.7900000214576721,2.380000114440918,27.386157989501953 +1983,29,0,MVA,15-17 yrs,66,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,29.02068328857422 +1983,29,0,suicide,15-17 yrs,8,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,3.5176587104797363 +1983,29,0,homicide,15-17 yrs,17,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,7.475024700164795 +1983,29,0,other external,15-17 yrs,27,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,11.872097969055176 +1983,29,0,internal,15-17 yrs,41,227424,16.019968032836914,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,18.027999877929688 +1983,29,0,all,18-20 yrs,262,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,99.86582946777344 +1983,29,0,MVA,18-20 yrs,115,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,43.83423614501953 +1983,29,0,suicide,18-20 yrs,30,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,11.435018539428711 +1983,29,0,homicide,18-20 yrs,25,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,9.529182434082031 +1983,29,0,other external,18-20 yrs,39,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,14.865524291992188 +1983,29,0,internal,18-20 yrs,53,262352,19.029441833496094,0,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,20.201866149902344 +1983,29,0,all,21-24 yrs,392,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,109.2506332397461 +1983,29,0,MVA,21-24 yrs,115,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,32.050567626953125 +1983,29,0,suicide,21-24 yrs,67,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,18.67293930053711 +1983,29,0,homicide,21-24 yrs,73,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,20.345142364501953 +1983,29,0,other external,21-24 yrs,59,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,16.443334579467773 +1983,29,0,internal,21-24 yrs,78,358808,22.485742568969727,1,0.060240961611270905,1.3700000047683716,0.2199999988079071,0.7799999713897705,2.369999885559082,21.738645553588867 +1984,29,0,MVA,15-17 yrs,70,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,31.11664390563965 +1984,29,0,suicide,15-17 yrs,16,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,7.112375736236572 +1984,29,0,homicide,15-17 yrs,8,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,3.556187868118286 +1984,29,0,other external,15-17 yrs,29,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,12.891180992126465 +1984,29,0,internal,15-17 yrs,48,224960,16.00177764892578,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,21.337125778198242 +1984,29,0,all,18-20 yrs,276,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,110.18931579589844 +1984,29,0,MVA,18-20 yrs,129,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,51.501529693603516 +1984,29,0,suicide,18-20 yrs,37,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.771756172180176 +1984,29,0,homicide,18-20 yrs,30,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,11.977099418640137 +1984,29,0,other external,18-20 yrs,27,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,10.779389381408691 +1984,29,0,internal,18-20 yrs,53,250478,19.044158935546875,0,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,21.159542083740234 +1984,29,0,all,21-24 yrs,418,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,116.96495819091797 +1984,29,0,MVA,21-24 yrs,145,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,40.57396697998047 +1984,29,0,suicide,21-24 yrs,53,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.830484390258789 +1984,29,0,homicide,21-24 yrs,61,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,17.069047927856445 +1984,29,0,other external,21-24 yrs,52,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,14.550663948059082 +1984,29,0,internal,21-24 yrs,107,357372,22.50710105895996,1,0.05774783343076706,1.340000033378601,0.25,0.6800000071525574,2.2699999809265137,29.9407901763916 +1985,29,0,MVA,15-17 yrs,71,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,31.301250457763672 +1985,29,0,suicide,15-17 yrs,27,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,11.903292655944824 +1985,29,0,homicide,15-17 yrs,7,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,3.086038827896118 +1985,29,0,other external,15-17 yrs,26,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,11.462430000305176 +1985,29,0,internal,15-17 yrs,44,226828,15.97939395904541,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,19.397958755493164 +1985,29,0,all,18-20 yrs,256,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,107.46820068359375 +1985,29,0,MVA,18-20 yrs,110,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,46.17774200439453 +1985,29,0,suicide,18-20 yrs,26,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,10.914738655090332 +1985,29,0,homicide,18-20 yrs,35,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,14.692917823791504 +1985,29,0,other external,18-20 yrs,33,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,13.853322982788086 +1985,29,0,internal,18-20 yrs,52,238210,19.037479400634766,0,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,21.829477310180664 +1985,29,0,all,21-24 yrs,415,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,117.91716003417969 +1985,29,0,MVA,21-24 yrs,138,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,39.21100616455078 +1985,29,0,suicide,21-24 yrs,69,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,19.60550308227539 +1985,29,0,homicide,21-24 yrs,60,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,17.048263549804688 +1985,29,0,other external,21-24 yrs,59,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,16.76412582397461 +1985,29,0,internal,21-24 yrs,89,351942,22.5295352935791,1,0.05576208233833313,1.3300000429153442,0.25999999046325684,0.7599999904632568,2.359999895095825,25.288257598876953 +1986,29,0,MVA,15-17 yrs,94,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,40.43341064453125 +1986,29,0,suicide,15-17 yrs,18,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,7.742568016052246 +1986,29,0,homicide,15-17 yrs,16,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,6.882282733917236 +1986,29,0,other external,15-17 yrs,40,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,17.205707550048828 +1986,29,0,internal,15-17 yrs,49,232481,15.97917652130127,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,21.07699203491211 +1986,29,0,all,18-20 yrs,289,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,126.92974853515625 +1986,29,0,MVA,18-20 yrs,144,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,63.24527359008789 +1986,29,0,suicide,18-20 yrs,40,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,17.568130493164062 +1986,29,0,homicide,18-20 yrs,48,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,21.081758499145508 +1986,29,0,other external,18-20 yrs,23,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,10.101675987243652 +1986,29,0,internal,18-20 yrs,34,227685,19.023162841796875,0,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,14.93291187286377 +1986,29,0,all,21-24 yrs,419,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,123.22369384765625 +1986,29,0,MVA,21-24 yrs,160,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,47.05439376831055 +1986,29,0,suicide,21-24 yrs,47,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,13.82222843170166 +1986,29,0,homicide,21-24 yrs,64,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,18.821758270263672 +1986,29,0,other external,21-24 yrs,51,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,14.998588562011719 +1986,29,0,internal,21-24 yrs,97,340032,22.540313720703125,1,0.054744526743888855,1.3600000143051147,0.2800000011920929,0.7200000286102295,2.359999895095825,28.5267276763916 +1987,29,0,MVA,15-17 yrs,94,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,40.668521881103516 +1987,29,0,suicide,15-17 yrs,28,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,12.114027976989746 +1987,29,0,homicide,15-17 yrs,11,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,4.759082317352295 +1987,29,0,other external,15-17 yrs,24,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,10.383452415466309 +1987,29,0,internal,15-17 yrs,34,231137,16.01655387878418,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,14.709890365600586 +1987,29,0,all,18-20 yrs,266,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,117.97891998291016 +1987,29,0,MVA,18-20 yrs,101,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,44.7965087890625 +1987,29,0,suicide,18-20 yrs,49,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,21.732959747314453 +1987,29,0,homicide,18-20 yrs,37,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,16.410602569580078 +1987,29,0,other external,18-20 yrs,35,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,15.523542404174805 +1987,29,0,internal,18-20 yrs,44,225464,19.005788803100586,0,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,19.515310287475586 +1987,29,0,all,21-24 yrs,384,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,118.46147918701172 +1987,29,0,MVA,21-24 yrs,135,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,41.64661407470703 +1987,29,0,suicide,21-24 yrs,58,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,17.892620086669922 +1987,29,0,homicide,21-24 yrs,71,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,21.903034210205078 +1987,29,0,other external,21-24 yrs,42,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,12.956724166870117 +1987,29,0,internal,21-24 yrs,78,324156,22.55508804321289,1,0.05281690135598183,1.3600000143051147,0.27000001072883606,0.7200000286102295,2.3499999046325684,24.062488555908203 +1988,29,0,MVA,15-17 yrs,71,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,31.824722290039062 +1988,29,0,suicide,15-17 yrs,22,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,9.861181259155273 +1988,29,0,homicide,15-17 yrs,17,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,7.620003700256348 +1988,29,0,other external,15-17 yrs,27,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,12.1023588180542 +1988,29,0,internal,15-17 yrs,38,223097,16.04422378540039,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.032949447631836 +1988,29,0,all,18-20 yrs,278,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,122.01759338378906 +1988,29,0,MVA,18-20 yrs,126,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,55.30293655395508 +1988,29,0,suicide,18-20 yrs,41,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.995399475097656 +1988,29,0,homicide,18-20 yrs,36,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.8008394241333 +1988,29,0,other external,18-20 yrs,35,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.361927032470703 +1988,29,0,internal,18-20 yrs,40,227836,18.983896255493164,0,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,17.556488037109375 +1988,29,0,all,21-24 yrs,378,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,122.3233642578125 +1988,29,0,MVA,21-24 yrs,159,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,51.4534797668457 +1988,29,0,suicide,21-24 yrs,47,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,15.209519386291504 +1988,29,0,homicide,21-24 yrs,43,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,13.915092468261719 +1988,29,0,other external,21-24 yrs,41,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,13.267878532409668 +1988,29,0,internal,21-24 yrs,88,309017,22.556550979614258,1,0.050718508660793304,1.3300000429153442,0.25,0.6899999976158142,2.2799999713897705,28.477397918701172 +1989,29,0,MVA,15-17 yrs,87,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,41.37321090698242 +1989,29,0,suicide,15-17 yrs,21,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,9.986637115478516 +1989,29,0,homicide,15-17 yrs,26,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,12.364407539367676 +1989,29,0,other external,15-17 yrs,22,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,10.462190628051758 +1989,29,0,internal,15-17 yrs,44,210281,16.03032684326172,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.924381256103516 +1989,29,0,all,18-20 yrs,280,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,119.66067504882812 +1989,29,0,MVA,18-20 yrs,116,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,49.573707580566406 +1989,29,0,suicide,18-20 yrs,38,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,16.23966407775879 +1989,29,0,homicide,18-20 yrs,47,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.085899353027344 +1989,29,0,other external,18-20 yrs,31,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,13.248146057128906 +1989,29,0,internal,18-20 yrs,48,233995,18.983978271484375,0,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.51325798034668 +1989,29,0,all,21-24 yrs,345,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,117.71047973632812 +1989,29,0,MVA,21-24 yrs,127,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,43.33110427856445 +1989,29,0,suicide,21-24 yrs,51,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,17.400680541992188 +1989,29,0,homicide,21-24 yrs,61,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,20.812578201293945 +1989,29,0,other external,21-24 yrs,39,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,13.306402206420898 +1989,29,0,internal,21-24 yrs,67,293092,22.543193817138672,1,0.04838709533214569,1.3300000429153442,0.2199999988079071,0.6899999976158142,2.240000009536743,22.859716415405273 +1990,29,0,MVA,15-17 yrs,85,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,41.251121520996094 +1990,29,0,suicide,15-17 yrs,13,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,6.308995246887207 +1990,29,0,homicide,15-17 yrs,22,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,10.67676067352295 +1990,29,0,other external,15-17 yrs,22,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,10.67676067352295 +1990,29,0,internal,15-17 yrs,26,206055,16.004959106445312,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,12.617990493774414 +1990,29,0,all,18-20 yrs,307,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,130.8883819580078 +1990,29,0,MVA,18-20 yrs,124,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,52.866966247558594 +1990,29,0,suicide,18-20 yrs,42,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,17.906553268432617 +1990,29,0,homicide,18-20 yrs,48,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,20.464632034301758 +1990,29,0,other external,18-20 yrs,32,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,13.643088340759277 +1990,29,0,internal,18-20 yrs,61,234551,19.023780822753906,0,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,26.007137298583984 +1990,29,0,all,21-24 yrs,335,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,117.81006622314453 +1990,29,0,MVA,21-24 yrs,133,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,46.77235412597656 +1990,29,0,suicide,21-24 yrs,34,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,11.956842422485352 +1990,29,0,homicide,21-24 yrs,55,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,19.341951370239258 +1990,29,0,other external,21-24 yrs,36,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,12.660186767578125 +1990,29,0,internal,21-24 yrs,77,284356,22.5045223236084,1,0.04590665549039841,1.3700000047683716,0.2199999988079071,0.699999988079071,2.299999952316284,27.078731536865234 +1991,29,0,MVA,15-17 yrs,71,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,34.30067825317383 +1991,29,0,suicide,15-17 yrs,25,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,12.077703475952148 +1991,29,0,homicide,15-17 yrs,42,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,20.29054069519043 +1991,29,0,other external,15-17 yrs,23,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.111486434936523 +1991,29,0,internal,15-17 yrs,34,206993,16.00372886657715,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,16.425676345825195 +1991,29,0,all,18-20 yrs,304,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,134.84620666503906 +1991,29,0,MVA,18-20 yrs,138,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,61.21308517456055 +1991,29,0,suicide,18-20 yrs,32,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,14.194337844848633 +1991,29,0,homicide,18-20 yrs,57,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,25.28366470336914 +1991,29,0,other external,18-20 yrs,27,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.976472854614258 +1991,29,0,internal,18-20 yrs,50,225442,19.054807662963867,0,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,22.178653717041016 +1991,29,0,all,21-24 yrs,356,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,124.7511978149414 +1991,29,0,MVA,21-24 yrs,128,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,44.85436248779297 +1991,29,0,suicide,21-24 yrs,45,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,15.769112586975098 +1991,29,0,homicide,21-24 yrs,81,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,28.384401321411133 +1991,29,0,other external,21-24 yrs,32,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,11.213590621948242 +1991,29,0,internal,21-24 yrs,70,285368,22.464887619018555,1,0.044052861630916595,1.350000023841858,0.2199999988079071,0.6399999856948853,2.200000047683716,24.52972984313965 +1992,29,0,MVA,15-17 yrs,77,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,36.22557830810547 +1992,29,0,suicide,15-17 yrs,22,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,10.350165367126465 +1992,29,0,homicide,15-17 yrs,40,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,18.8184814453125 +1992,29,0,other external,15-17 yrs,28,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.172937393188477 +1992,29,0,internal,15-17 yrs,36,212557,15.997101783752441,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,16.936634063720703 +1992,29,0,all,18-20 yrs,266,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,124.08221435546875 +1992,29,0,MVA,18-20 yrs,75,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,34.9855842590332 +1992,29,0,suicide,18-20 yrs,38,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,17.726030349731445 +1992,29,0,homicide,18-20 yrs,86,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,40.11680603027344 +1992,29,0,other external,18-20 yrs,29,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.527759552001953 +1992,29,0,internal,18-20 yrs,38,214374,19.037845611572266,0,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,17.726030349731445 +1992,29,0,all,21-24 yrs,367,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,126.00555419921875 +1992,29,0,MVA,21-24 yrs,116,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,39.827369689941406 +1992,29,0,suicide,21-24 yrs,44,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,15.106932640075684 +1992,29,0,homicide,21-24 yrs,91,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,31.243885040283203 +1992,29,0,other external,21-24 yrs,39,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,13.390235900878906 +1992,29,0,internal,21-24 yrs,77,291257,22.441383361816406,1,0.042765501886606216,1.340000033378601,0.20999999344348907,0.6899999976158142,2.240000009536743,26.4371337890625 +1993,29,0,MVA,15-17 yrs,81,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,37.195377349853516 +1993,29,0,suicide,15-17 yrs,19,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,8.724841117858887 +1993,29,0,homicide,15-17 yrs,58,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,26.633726119995117 +1993,29,0,other external,15-17 yrs,27,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,12.398458480834961 +1993,29,0,internal,15-17 yrs,41,217769,15.986756324768066,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,18.827289581298828 +1993,29,0,all,18-20 yrs,283,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,134.04000854492188 +1993,29,0,MVA,18-20 yrs,97,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,45.94303894042969 +1993,29,0,suicide,18-20 yrs,37,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,17.5246639251709 +1993,29,0,homicide,18-20 yrs,79,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,37.41752624511719 +1993,29,0,other external,18-20 yrs,29,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,13.73554801940918 +1993,29,0,internal,18-20 yrs,41,211131,19.002756118774414,0,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,19.41922378540039 +1993,29,0,all,21-24 yrs,373,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,126.97396850585938 +1993,29,0,MVA,21-24 yrs,104,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,35.402931213378906 +1993,29,0,suicide,21-24 yrs,51,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,17.361051559448242 +1993,29,0,homicide,21-24 yrs,89,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,30.296737670898438 +1993,29,0,other external,21-24 yrs,48,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,16.339813232421875 +1993,29,0,internal,21-24 yrs,81,293761,22.48052406311035,1,0.041522491723299026,1.3300000429153442,0.20000000298023224,0.6700000166893005,2.200000047683716,27.573434829711914 +1994,29,0,MVA,15-17 yrs,102,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,45.140132904052734 +1994,29,0,suicide,15-17 yrs,17,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,7.523355484008789 +1994,29,0,homicide,15-17 yrs,61,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,26.995569229125977 +1994,29,0,other external,15-17 yrs,34,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,15.046710968017578 +1994,29,0,internal,15-17 yrs,28,225963,15.992813110351562,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,12.391408920288086 +1994,29,0,all,18-20 yrs,309,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,145.33380126953125 +1994,29,0,MVA,18-20 yrs,143,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,67.2580337524414 +1994,29,0,suicide,18-20 yrs,40,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,18.81343650817871 +1994,29,0,homicide,18-20 yrs,61,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,28.69049072265625 +1994,29,0,other external,18-20 yrs,23,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,10.817726135253906 +1994,29,0,internal,18-20 yrs,42,212614,19.002065658569336,0,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,19.754108428955078 +1994,29,0,all,21-24 yrs,377,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,129.9964141845703 +1994,29,0,MVA,21-24 yrs,103,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,35.51626205444336 +1994,29,0,suicide,21-24 yrs,51,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,17.585721969604492 +1994,29,0,homicide,21-24 yrs,103,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,35.51626205444336 +1994,29,0,other external,21-24 yrs,37,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,12.758268356323242 +1994,29,0,internal,21-24 yrs,83,290008,22.537309646606445,1,0.04048582911491394,1.3600000143051147,0.1899999976158142,0.6600000262260437,2.2100000381469727,28.61989974975586 +1995,29,0,MVA,15-17 yrs,87,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,36.96355056762695 +1995,29,0,suicide,15-17 yrs,23,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,9.77197265625 +1995,29,0,homicide,15-17 yrs,42,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,17.844472885131836 +1995,29,0,other external,15-17 yrs,22,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,9.347105026245117 +1995,29,0,internal,15-17 yrs,42,235367,15.978841781616211,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,17.844472885131836 +1995,29,0,all,18-20 yrs,285,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,130.6662139892578 +1995,29,0,MVA,18-20 yrs,106,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,48.598663330078125 +1995,29,0,suicide,18-20 yrs,40,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,18.3391170501709 +1995,29,0,homicide,18-20 yrs,58,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,26.591720581054688 +1995,29,0,other external,18-20 yrs,23,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,10.544992446899414 +1995,29,0,internal,18-20 yrs,58,218113,18.996910095214844,0,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,26.591720581054688 +1995,29,0,all,21-24 yrs,367,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,130.47311401367188 +1995,29,0,MVA,21-24 yrs,113,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,40.17292022705078 +1995,29,0,suicide,21-24 yrs,62,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,22.041780471801758 +1995,29,0,homicide,21-24 yrs,68,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,24.174856185913086 +1995,29,0,other external,21-24 yrs,38,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,13.509477615356445 +1995,29,0,internal,21-24 yrs,86,281284,22.550621032714844,1,0.03937007859349251,1.309999942779541,0.20000000298023224,0.6200000047683716,2.140000104904175,30.574081420898438 +1996,29,0,MVA,15-17 yrs,100,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,41.11689758300781 +1996,29,0,suicide,15-17 yrs,21,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,8.634549140930176 +1996,29,0,homicide,15-17 yrs,32,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,13.157407760620117 +1996,29,0,other external,15-17 yrs,23,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,9.456887245178223 +1996,29,0,internal,15-17 yrs,35,243209,15.988713264465332,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,14.390914916992188 +1996,29,0,all,18-20 yrs,265,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,119.09041595458984 +1996,29,0,MVA,18-20 yrs,107,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,48.08556365966797 +1996,29,0,suicide,18-20 yrs,43,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,19.324106216430664 +1996,29,0,homicide,18-20 yrs,47,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.12169647216797 +1996,29,0,other external,18-20 yrs,23,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,10.336149215698242 +1996,29,0,internal,18-20 yrs,45,222520,18.988229751586914,0,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,20.222900390625 +1996,29,0,all,21-24 yrs,344,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,125.96349334716797 +1996,29,0,MVA,21-24 yrs,114,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,41.743717193603516 +1996,29,0,suicide,21-24 yrs,60,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.97037696838379 +1996,29,0,homicide,21-24 yrs,58,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,21.2380313873291 +1996,29,0,other external,21-24 yrs,46,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,16.843955993652344 +1996,29,0,internal,21-24 yrs,66,273095,22.505142211914062,1,0.03824091702699661,1.309999942779541,0.2199999988079071,0.5699999928474426,2.0899999141693115,24.16741371154785 +1970,30,0,MVA,15-17 yrs,27,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,59.693572998046875 +1970,30,0,suicide,15-17 yrs,4,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,8.84349250793457 +1970,30,0,homicide,15-17 yrs,0,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,0 +1970,30,0,other external,15-17 yrs,21,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,46.4283332824707 +1970,30,0,internal,15-17 yrs,10,45231,15.985629081726074,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,22.10873031616211 +1970,30,0,all,18-20 yrs,75,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,205.73309326171875 +1970,30,0,MVA,18-20 yrs,42,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,115.21053314208984 +1970,30,0,suicide,18-20 yrs,3,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,8.229323387145996 +1970,30,0,homicide,18-20 yrs,4,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,10.972432136535645 +1970,30,0,other external,18-20 yrs,18,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,49.37594223022461 +1970,30,0,internal,18-20 yrs,8,36455,18.940420150756836,0,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,21.94486427307129 +1970,30,0,all,21-24 yrs,78,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,193.88516235351562 +1970,30,0,MVA,21-24 yrs,39,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,96.94258117675781 +1970,30,0,suicide,21-24 yrs,6,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,14.9142427444458 +1970,30,0,homicide,21-24 yrs,3,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,7.4571213722229 +1970,30,0,other external,21-24 yrs,13,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,32.31419372558594 +1970,30,0,internal,21-24 yrs,17,40230,22.388267517089844,1,0.25,1.5399999618530273,0.12999999523162842,1.0299999713897705,2.700000047683716,42.257022857666016 +1971,30,0,MVA,15-17 yrs,24,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,51.82130432128906 +1971,30,0,suicide,15-17 yrs,3,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,6.477663040161133 +1971,30,0,homicide,15-17 yrs,1,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,2.1592209339141846 +1971,30,0,other external,15-17 yrs,14,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,30.229093551635742 +1971,30,0,internal,15-17 yrs,12,46313,15.991471290588379,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,25.91065216064453 +1971,30,0,all,18-20 yrs,74,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,190.8938446044922 +1971,30,0,MVA,18-20 yrs,40,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,103.18586730957031 +1971,30,0,suicide,18-20 yrs,8,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,20.63717269897461 +1971,30,0,homicide,18-20 yrs,3,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,7.7389397621154785 +1971,30,0,other external,18-20 yrs,14,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,36.11505126953125 +1971,30,0,internal,18-20 yrs,9,38765,18.95805549621582,0,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,23.216819763183594 +1971,30,0,all,21-24 yrs,95,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,207.24258422851562 +1971,30,0,MVA,21-24 yrs,54,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,117.8010482788086 +1971,30,0,suicide,21-24 yrs,9,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,19.633508682250977 +1971,30,0,homicide,21-24 yrs,3,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,6.5445027351379395 +1971,30,0,other external,21-24 yrs,17,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,37.085514068603516 +1971,30,0,internal,21-24 yrs,12,45840,22.510929107666016,1,0.23950618505477905,1.5499999523162842,0.15000000596046448,1.0499999523162842,2.75,26.178010940551758 +1972,30,0,MVA,15-17 yrs,38,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,80.345062255859375 +1972,30,0,suicide,15-17 yrs,0,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,0 +1972,30,0,homicide,15-17 yrs,2,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,4.228687286376953 +1972,30,0,other external,15-17 yrs,12,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,25.37212371826172 +1972,30,0,internal,15-17 yrs,14,47296,15.979934692382812,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,29.600811004638672 +1972,30,0,all,18-20 yrs,82,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,205.3439483642578 +1972,30,0,MVA,18-20 yrs,50,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,125.20972442626953 +1972,30,0,suicide,18-20 yrs,6,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,15.025167465209961 +1972,30,0,homicide,18-20 yrs,2,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,5.008388996124268 +1972,30,0,other external,18-20 yrs,12,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,30.050334930419922 +1972,30,0,internal,18-20 yrs,12,39933,18.975208282470703,0,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,30.050334930419922 +1972,30,0,all,21-24 yrs,96,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,203.015625 +1972,30,0,MVA,21-24 yrs,54,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,114.1962890625 +1972,30,0,suicide,21-24 yrs,16,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,33.8359375 +1972,30,0,homicide,21-24 yrs,8,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,16.91796875 +1972,30,0,other external,21-24 yrs,12,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,25.376953125 +1972,30,0,internal,21-24 yrs,6,47287,22.4906005859375,1,0.23205742239952087,1.5199999809265137,0.1599999964237213,1.0499999523162842,2.7300000190734863,12.6884765625 +1973,30,0.5041095614433289,MVA,15-17 yrs,25,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,51.81132507324219 +1973,30,0.5041095614433289,suicide,15-17 yrs,7,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.507170677185059 +1973,30,0.5041095614433289,homicide,15-17 yrs,1,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,2.072453022003174 +1973,30,0.5041095614433289,other external,15-17 yrs,24,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,49.73887252807617 +1973,30,0.5041095614433289,internal,15-17 yrs,8,48252,15.979337692260742,0,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,16.57962417602539 +1973,30,0.5041095614433289,all,18-20 yrs,72,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,177.28750610351562 +1973,30,0.5041095614433289,MVA,18-20 yrs,41,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,100.95538330078125 +1973,30,0.5041095614433289,suicide,18-20 yrs,6,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.773958206176758 +1973,30,0.5041095614433289,homicide,18-20 yrs,0,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,0 +1973,30,0.5041095614433289,other external,18-20 yrs,19,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,46.784202575683594 +1973,30,0.5041095614433289,internal,18-20 yrs,6,40612,18.972766876220703,0.5041095614433289,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,14.773958206176758 +1973,30,0.5041095614433289,all,21-24 yrs,95,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,193.289794921875 +1973,30,0.5041095614433289,MVA,21-24 yrs,40,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,81.38517761230469 +1973,30,0.5041095614433289,suicide,21-24 yrs,8,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,16.277034759521484 +1973,30,0.5041095614433289,homicide,21-24 yrs,9,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,18.311664581298828 +1973,30,0.5041095614433289,other external,21-24 yrs,25,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,50.8657341003418 +1973,30,0.5041095614433289,internal,21-24 yrs,13,49149,22.477933883666992,1,0.21846847236156464,1.659999966621399,0.17000000178813934,1.0700000524520874,2.9000000953674316,26.45018196105957 +1974,30,1,MVA,15-17 yrs,23,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,46.84699249267578 +1974,30,1,suicide,15-17 yrs,4,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,8.147303581237793 +1974,30,1,homicide,15-17 yrs,2,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,4.0736517906188965 +1974,30,1,other external,15-17 yrs,18,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,36.662864685058594 +1974,30,1,internal,15-17 yrs,13,49096,15.996232032775879,0,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,26.478734970092773 +1974,30,1,all,18-20 yrs,103,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,248.11505126953125 +1974,30,1,MVA,18-20 yrs,47,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,113.21754455566406 +1974,30,1,suicide,18-20 yrs,10,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,24.08884048461914 +1974,30,1,homicide,18-20 yrs,5,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,12.04442024230957 +1974,30,1,other external,18-20 yrs,25,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,60.22209930419922 +1974,30,1,internal,18-20 yrs,16,41513,18.983474731445312,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,38.542144775390625 +1974,30,1,all,21-24 yrs,95,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,188.52572631835938 +1974,30,1,MVA,21-24 yrs,38,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,75.41029357910156 +1974,30,1,suicide,21-24 yrs,14,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,27.782739639282227 +1974,30,1,homicide,21-24 yrs,1,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,1.9844813346862793 +1974,30,1,other external,21-24 yrs,27,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,53.580997467041016 +1974,30,1,internal,21-24 yrs,15,50391,22.47325897216797,1,0.21298174560070038,1.7000000476837158,0.17000000178813934,1.100000023841858,2.9600000381469727,29.76721954345703 +1975,30,1,MVA,15-17 yrs,18,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,36.404823303222656 +1975,30,1,suicide,15-17 yrs,10,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,20.22490119934082 +1975,30,1,homicide,15-17 yrs,0,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,0 +1975,30,1,other external,15-17 yrs,26,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,52.58474349975586 +1975,30,1,internal,15-17 yrs,8,49444,15.99557113647461,0,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,16.179920196533203 +1975,30,1,all,18-20 yrs,93,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,217.31002807617188 +1975,30,1,MVA,18-20 yrs,45,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,105.15001678466797 +1975,30,1,suicide,18-20 yrs,3,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,7.010000705718994 +1975,30,1,homicide,18-20 yrs,6,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,14.020001411437988 +1975,30,1,other external,18-20 yrs,24,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,56.08000564575195 +1975,30,1,internal,18-20 yrs,15,42796,18.975955963134766,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,35.05000305175781 +1975,30,1,all,21-24 yrs,92,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,175.63955688476562 +1975,30,1,MVA,21-24 yrs,45,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,85.91065216064453 +1975,30,1,suicide,21-24 yrs,9,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,17.182130813598633 +1975,30,1,homicide,21-24 yrs,5,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,9.545628547668457 +1975,30,1,other external,21-24 yrs,20,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,38.18251419067383 +1975,30,1,internal,21-24 yrs,13,52380,22.479724884033203,1,0.19516728818416595,1.6799999475479126,0.1899999976158142,1.1100000143051147,2.9800000190734863,24.818632125854492 +1976,30,1,MVA,15-17 yrs,29,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,58.562198638916016 +1976,30,1,suicide,15-17 yrs,6,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,12.116316795349121 +1976,30,1,homicide,15-17 yrs,0,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,0 +1976,30,1,other external,15-17 yrs,15,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,30.29079246520996 +1976,30,1,internal,15-17 yrs,7,49520,15.989276885986328,0,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,14.135703086853027 +1976,30,1,all,18-20 yrs,94,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,214.78350830078125 +1976,30,1,MVA,18-20 yrs,45,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,102.82189178466797 +1976,30,1,suicide,18-20 yrs,10,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,22.849308013916016 +1976,30,1,homicide,18-20 yrs,4,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,9.139723777770996 +1976,30,1,other external,18-20 yrs,20,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,45.69861602783203 +1976,30,1,internal,18-20 yrs,15,43765,18.979389190673828,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,34.273963928222656 +1976,30,1,all,21-24 yrs,88,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,162.9871063232422 +1976,30,1,MVA,21-24 yrs,40,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,74.085052490234375 +1976,30,1,suicide,21-24 yrs,15,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,27.781892776489258 +1976,30,1,homicide,21-24 yrs,2,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,3.7042524814605713 +1976,30,1,other external,21-24 yrs,19,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,35.190399169921875 +1976,30,1,internal,21-24 yrs,12,53992,22.487071990966797,1,0.18453426659107208,1.7799999713897705,0.20000000298023224,1.1200000047683716,3.109999895095825,22.225515365600586 +1977,30,1,MVA,15-17 yrs,45,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,90.88338470458984 +1977,30,1,suicide,15-17 yrs,5,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,10.098154067993164 +1977,30,1,homicide,15-17 yrs,3,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,6.058892250061035 +1977,30,1,other external,15-17 yrs,22,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,44.43187713623047 +1977,30,1,internal,15-17 yrs,10,49514,15.99808120727539,0,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,20.196308135986328 +1977,30,1,all,18-20 yrs,92,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,206.0701141357422 +1977,30,1,MVA,18-20 yrs,51,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,114.2345199584961 +1977,30,1,suicide,18-20 yrs,15,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,33.598388671875 +1977,30,1,homicide,18-20 yrs,2,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,4.479784965515137 +1977,30,1,other external,18-20 yrs,18,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,40.31806564331055 +1977,30,1,internal,18-20 yrs,6,44645,19.00125503540039,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,13.43935489654541 +1977,30,1,all,21-24 yrs,96,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,173.46994018554688 +1977,30,1,MVA,21-24 yrs,48,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,86.73497009277344 +1977,30,1,suicide,21-24 yrs,11,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,19.87676429748535 +1977,30,1,homicide,21-24 yrs,8,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,14.455828666687012 +1977,30,1,other external,21-24 yrs,18,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,32.52561569213867 +1977,30,1,internal,21-24 yrs,11,55341,22.48504638671875,1,0.22937293350696564,1.8300000429153442,0.20000000298023224,1.100000023841858,3.119999885559082,19.87676429748535 +1978,30,1,MVA,15-17 yrs,24,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,48.98958969116211 +1978,30,1,suicide,15-17 yrs,7,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,14.288630485534668 +1978,30,1,homicide,15-17 yrs,1,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,2.0412328243255615 +1978,30,1,other external,15-17 yrs,14,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,28.577260971069336 +1978,30,1,internal,15-17 yrs,8,48990,16.00826644897461,0,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,16.329862594604492 +1978,30,1,all,18-20 yrs,80,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,177.36000061035156 +1978,30,1,MVA,18-20 yrs,39,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,86.46299743652344 +1978,30,1,suicide,18-20 yrs,8,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,17.736000061035156 +1978,30,1,homicide,18-20 yrs,2,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,4.434000015258789 +1978,30,1,other external,18-20 yrs,16,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,35.47200012207031 +1978,30,1,internal,18-20 yrs,15,45106,19.0048770904541,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,33.255001068115234 +1978,30,1,all,21-24 yrs,102,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,177.16946411132812 +1978,30,1,MVA,21-24 yrs,44,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,76.42604064941406 +1978,30,1,suicide,21-24 yrs,15,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,26.054332733154297 +1978,30,1,homicide,21-24 yrs,5,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,8.68477725982666 +1978,30,1,other external,21-24 yrs,26,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,45.16084289550781 +1978,30,1,internal,21-24 yrs,12,57572,22.48009490966797,1,0.2131901979446411,1.8200000524520874,0.20000000298023224,1.0700000524520874,3.0999999046325684,20.84346580505371 +1979,30,0.6680411696434021,MVA,15-17 yrs,37,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,78.76194763183594 +1979,30,0.6680411696434021,suicide,15-17 yrs,7,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,14.900909423828125 +1979,30,0.6680411696434021,homicide,15-17 yrs,3,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,6.386103630065918 +1979,30,0.6680411696434021,other external,15-17 yrs,13,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,27.67311668395996 +1979,30,0.6680411696434021,internal,15-17 yrs,10,46977,16.016582489013672,0,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,21.287012100219727 +1979,30,0.6680411696434021,all,18-20 yrs,89,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,198.3773193359375 +1979,30,0.6680411696434021,MVA,18-20 yrs,61,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,135.9664764404297 +1979,30,0.6680411696434021,suicide,18-20 yrs,5,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,11.144793510437012 +1979,30,0.6680411696434021,homicide,18-20 yrs,5,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,11.144793510437012 +1979,30,0.6680411696434021,other external,18-20 yrs,10,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,22.289587020874023 +1979,30,0.6680411696434021,internal,18-20 yrs,8,44864,19.0028076171875,0.6680411696434021,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,17.831668853759766 +1979,30,0.6680411696434021,all,21-24 yrs,110,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,187.05892944335938 +1979,30,0.6680411696434021,MVA,21-24 yrs,53,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,90.128387451171875 +1979,30,0.6680411696434021,suicide,21-24 yrs,11,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,18.70589256286621 +1979,30,0.6680411696434021,homicide,21-24 yrs,9,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,15.304821014404297 +1979,30,0.6680411696434021,other external,21-24 yrs,24,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,40.8128547668457 +1979,30,0.6680411696434021,internal,21-24 yrs,13,58805,22.48043441772461,1,0.19146005809307098,1.8300000429153442,0.4099999964237213,1.0499999523162842,3.2899999618530273,22.106964111328125 +1980,30,0.6707993149757385,MVA,15-17 yrs,29,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,65.6435317993164 +1980,30,0.6707993149757385,suicide,15-17 yrs,4,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,9.054280281066895 +1980,30,0.6707993149757385,homicide,15-17 yrs,2,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,4.527140140533447 +1980,30,0.6707993149757385,other external,15-17 yrs,13,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,29.426410675048828 +1980,30,0.6707993149757385,internal,15-17 yrs,7,44178,16.03289031982422,0,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,15.844990730285645 +1980,30,0.6707993149757385,all,18-20 yrs,112,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,248.4031219482422 +1980,30,0.6707993149757385,MVA,18-20 yrs,58,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,128.6373291015625 +1980,30,0.6707993149757385,suicide,18-20 yrs,15,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,33.26827621459961 +1980,30,0.6707993149757385,homicide,18-20 yrs,6,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,13.307310104370117 +1980,30,0.6707993149757385,other external,18-20 yrs,18,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,39.921932220458984 +1980,30,0.6707993149757385,internal,18-20 yrs,15,45088,19.003128051757812,0.6707993149757385,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,33.26827621459961 +1980,30,0.6707993149757385,all,21-24 yrs,88,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,149.75665283203125 +1980,30,0.6707993149757385,MVA,21-24 yrs,39,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,66.36942291259766 +1980,30,0.6707993149757385,suicide,21-24 yrs,11,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,18.719581604003906 +1980,30,0.6707993149757385,homicide,21-24 yrs,4,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,6.807120323181152 +1980,30,0.6707993149757385,other external,21-24 yrs,18,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,30.632041931152344 +1980,30,0.6707993149757385,internal,21-24 yrs,16,58762,22.494945526123047,1,0.1686893105506897,1.8200000524520874,0.3499999940395355,1.0399999618530273,3.2100000381469727,27.22848129272461 +1981,30,0.6678851842880249,MVA,15-17 yrs,22,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,52.764122009277344 +1981,30,0.6678851842880249,suicide,15-17 yrs,6,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,14.390214920043945 +1981,30,0.6678851842880249,homicide,15-17 yrs,2,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,4.796738147735596 +1981,30,0.6678851842880249,other external,15-17 yrs,4,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,9.593476295471191 +1981,30,0.6678851842880249,internal,15-17 yrs,10,41695,16.046695709228516,0,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,23.98369026184082 +1981,30,0.6678851842880249,all,18-20 yrs,98,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,218.4379425048828 +1981,30,0.6678851842880249,MVA,18-20 yrs,62,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,138.1954345703125 +1981,30,0.6678851842880249,suicide,18-20 yrs,10,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,22.289587020874023 +1981,30,0.6678851842880249,homicide,18-20 yrs,0,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,0 +1981,30,0.6678851842880249,other external,18-20 yrs,20,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,44.57917404174805 +1981,30,0.6678851842880249,internal,18-20 yrs,6,44864,18.998329162597656,0.6678851842880249,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,13.373751640319824 +1981,30,0.6678851842880249,all,21-24 yrs,120,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,207.3470001220703 +1981,30,0.6678851842880249,MVA,21-24 yrs,52,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,89.8503646850586 +1981,30,0.6678851842880249,suicide,21-24 yrs,22,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,38.013614654541016 +1981,30,0.6678851842880249,homicide,21-24 yrs,6,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,10.367349624633789 +1981,30,0.6678851842880249,other external,21-24 yrs,14,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,24.19048309326172 +1981,30,0.6678851842880249,internal,21-24 yrs,26,57874,22.505720138549805,1,0.15291528403759003,1.899999976158142,0.33000001311302185,1.0499999523162842,3.2799999713897705,44.9251823425293 +1982,30,0.6753487586975098,MVA,15-17 yrs,32,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,80.82032775878906 +1982,30,0.6753487586975098,suicide,15-17 yrs,4,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,10.102540969848633 +1982,30,0.6753487586975098,homicide,15-17 yrs,2,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,5.051270484924316 +1982,30,0.6753487586975098,other external,15-17 yrs,18,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,45.46143341064453 +1982,30,0.6753487586975098,internal,15-17 yrs,8,39594,16.031064987182617,0,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,20.205081939697266 +1982,30,0.6753487586975098,all,18-20 yrs,78,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,176.35487365722656 +1982,30,0.6753487586975098,MVA,18-20 yrs,44,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,99.48223876953125 +1982,30,0.6753487586975098,suicide,18-20 yrs,6,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,13.565759658813477 +1982,30,0.6753487586975098,homicide,18-20 yrs,6,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,13.565759658813477 +1982,30,0.6753487586975098,other external,18-20 yrs,14,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,31.653440475463867 +1982,30,0.6753487586975098,internal,18-20 yrs,8,44229,19.00861358642578,0.6753487586975098,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,18.08768081665039 +1982,30,0.6753487586975098,all,21-24 yrs,90,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,158.3197021484375 +1982,30,0.6753487586975098,MVA,21-24 yrs,46,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,80.91896057128906 +1982,30,0.6753487586975098,suicide,21-24 yrs,14,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,24.62750816345215 +1982,30,0.6753487586975098,homicide,21-24 yrs,0,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,0 +1982,30,0.6753487586975098,other external,21-24 yrs,10,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,17.59107780456543 +1982,30,0.6753487586975098,internal,21-24 yrs,20,56847,22.504722595214844,1,0.14404144883155823,1.8200000524520874,0.3199999928474426,1.0199999809265137,3.1700000762939453,35.18215560913086 +1983,30,0.6863695979118347,MVA,15-17 yrs,18,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,47.05513381958008 +1983,30,0.6863695979118347,suicide,15-17 yrs,4,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,10.456696510314941 +1983,30,0.6863695979118347,homicide,15-17 yrs,1,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,2.6141741275787354 +1983,30,0.6863695979118347,other external,15-17 yrs,6,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,15.685044288635254 +1983,30,0.6863695979118347,internal,15-17 yrs,7,38253,16.013986587524414,0,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,18.299219131469727 +1983,30,0.6863695979118347,all,18-20 yrs,64,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,149.9390869140625 +1983,30,0.6863695979118347,MVA,18-20 yrs,34,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,79.65514373779297 +1983,30,0.6863695979118347,suicide,18-20 yrs,7,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,16.399587631225586 +1983,30,0.6863695979118347,homicide,18-20 yrs,1,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,2.3427982330322266 +1983,30,0.6863695979118347,other external,18-20 yrs,14,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,32.79917526245117 +1983,30,0.6863695979118347,internal,18-20 yrs,8,42684,19.03204917907715,0.6863695979118347,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,18.742385864257812 +1983,30,0.6863695979118347,all,21-24 yrs,104,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,185.744140625 +1983,30,0.6863695979118347,MVA,21-24 yrs,53,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,94.65807342529297 +1983,30,0.6863695979118347,suicide,21-24 yrs,15,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,26.790019989013672 +1983,30,0.6863695979118347,homicide,21-24 yrs,8,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,14.288010597229004 +1983,30,0.6863695979118347,other external,21-24 yrs,18,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,32.14802551269531 +1983,30,0.6863695979118347,internal,21-24 yrs,10,55991,22.494792938232422,1,0.13955824077129364,1.7899999618530273,0.3199999928474426,0.9900000095367432,3.0899999141693115,17.860013961791992 +1984,30,0.6898184418678284,MVA,15-17 yrs,19,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,49.41996383666992 +1984,30,0.6898184418678284,suicide,15-17 yrs,12,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,31.212610244750977 +1984,30,0.6898184418678284,homicide,15-17 yrs,1,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,2.601050853729248 +1984,30,0.6898184418678284,other external,15-17 yrs,12,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,31.212610244750977 +1984,30,0.6898184418678284,internal,15-17 yrs,5,38446,15.991494178771973,0,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,13.005253791809082 +1984,30,0.6898184418678284,all,18-20 yrs,66,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,166.20916748046875 +1984,30,0.6898184418678284,MVA,18-20 yrs,40,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,100.73283386230469 +1984,30,0.6898184418678284,suicide,18-20 yrs,8,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.14656639099121 +1984,30,0.6898184418678284,homicide,18-20 yrs,0,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,0 +1984,30,0.6898184418678284,other external,18-20 yrs,8,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.14656639099121 +1984,30,0.6898184418678284,internal,18-20 yrs,10,39709,19.04303741455078,0.6898184418678284,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,25.183208465576172 +1984,30,0.6898184418678284,all,21-24 yrs,68,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,123.8006820678711 +1984,30,0.6898184418678284,MVA,21-24 yrs,26,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,47.33555603027344 +1984,30,0.6898184418678284,suicide,21-24 yrs,9,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,16.38538360595703 +1984,30,0.6898184418678284,homicide,21-24 yrs,6,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,10.923589706420898 +1984,30,0.6898184418678284,other external,21-24 yrs,16,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,29.12957191467285 +1984,30,0.6898184418678284,internal,21-24 yrs,11,54927,22.485862731933594,1,0.13378247618675232,1.7000000476837158,0.3199999928474426,0.9300000071525574,2.950000047683716,20.026580810546875 +1985,30,0.6761645078659058,MVA,15-17 yrs,15,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,38.49608612060547 +1985,30,0.6761645078659058,suicide,15-17 yrs,6,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,15.39843463897705 +1985,30,0.6761645078659058,homicide,15-17 yrs,1,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,2.566405773162842 +1985,30,0.6761645078659058,other external,15-17 yrs,8,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,20.531246185302734 +1985,30,0.6761645078659058,internal,15-17 yrs,2,38965,15.974617958068848,0,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,5.132811546325684 +1985,30,0.6761645078659058,all,18-20 yrs,52,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,141.65077209472656 +1985,30,0.6761645078659058,MVA,18-20 yrs,22,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,59.929176330566406 +1985,30,0.6761645078659058,suicide,18-20 yrs,12,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,32.68864059448242 +1985,30,0.6761645078659058,homicide,18-20 yrs,4,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,10.89621353149414 +1985,30,0.6761645078659058,other external,18-20 yrs,8,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,21.79242706298828 +1985,30,0.6761645078659058,internal,18-20 yrs,6,36710,19.02280044555664,0.6761645078659058,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,16.34432029724121 +1985,30,0.6761645078659058,all,21-24 yrs,69,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,129.982666015625 +1985,30,0.6761645078659058,MVA,21-24 yrs,27,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,50.86278533935547 +1985,30,0.6761645078659058,suicide,21-24 yrs,10,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,18.83806800842285 +1985,30,0.6761645078659058,homicide,21-24 yrs,5,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,9.419034004211426 +1985,30,0.6761645078659058,other external,21-24 yrs,15,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,28.25710105895996 +1985,30,0.6761645078659058,internal,21-24 yrs,12,53084,22.498701095581055,1,0.12918215990066528,1.600000023841858,0.33000001311302185,0.8799999952316284,2.809999942779541,22.605682373046875 +1986,30,0.6679462194442749,MVA,15-17 yrs,18,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,45.50510787963867 +1986,30,0.6679462194442749,suicide,15-17 yrs,3,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,7.584184646606445 +1986,30,0.6679462194442749,homicide,15-17 yrs,5,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,12.640307426452637 +1986,30,0.6679462194442749,other external,15-17 yrs,6,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,15.16836929321289 +1986,30,0.6679462194442749,internal,15-17 yrs,4,39556,15.977171897888184,0,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,10.112245559692383 +1986,30,0.6679462194442749,all,18-20 yrs,61,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,178.74411010742188 +1986,30,0.6679462194442749,MVA,18-20 yrs,29,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,84.9767074584961 +1986,30,0.6679462194442749,suicide,18-20 yrs,7,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,20.51161766052246 +1986,30,0.6679462194442749,homicide,18-20 yrs,3,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,8.790693283081055 +1986,30,0.6679462194442749,other external,18-20 yrs,13,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,38.0930061340332 +1986,30,0.6679462194442749,internal,18-20 yrs,9,34127,19.00052833557129,0.6679462194442749,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,26.372079849243164 +1986,30,0.6679462194442749,all,21-24 yrs,74,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,148.516845703125 +1986,30,0.6679462194442749,MVA,21-24 yrs,27,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,54.188575744628906 +1986,30,0.6679462194442749,suicide,21-24 yrs,17,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,34.11873245239258 +1986,30,0.6679462194442749,homicide,21-24 yrs,4,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,8.027936935424805 +1986,30,0.6679462194442749,other external,21-24 yrs,15,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,30.104764938354492 +1986,30,0.6679462194442749,internal,21-24 yrs,11,49826,22.53162956237793,1,0.12682481110095978,1.5800000429153442,0.3400000035762787,0.8100000023841858,2.7300000190734863,22.076828002929688 +1987,30,0.5584973692893982,MVA,15-17 yrs,17,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,44.214412689208984 +1987,30,0.5584973692893982,suicide,15-17 yrs,6,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.605087280273438 +1987,30,0.5584973692893982,homicide,15-17 yrs,2,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,5.201695919036865 +1987,30,0.5584973692893982,other external,15-17 yrs,6,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.605087280273438 +1987,30,0.5584973692893982,internal,15-17 yrs,5,38449,16.01604652404785,0,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,13.004239082336426 +1987,30,0.5584973692893982,all,18-20 yrs,45,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,135.9639892578125 +1987,30,0.5584973692893982,MVA,18-20 yrs,27,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,81.5783920288086 +1987,30,0.5584973692893982,suicide,18-20 yrs,8,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,24.171375274658203 +1987,30,0.5584973692893982,homicide,18-20 yrs,1,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,3.0214219093322754 +1987,30,0.5584973692893982,other external,18-20 yrs,5,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.107109069824219 +1987,30,0.5584973692893982,internal,18-20 yrs,4,33097,18.97603988647461,0.5584973692893982,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,12.085687637329102 +1987,30,0.5584973692893982,all,21-24 yrs,66,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,144.07020568847656 +1987,30,0.5584973692893982,MVA,21-24 yrs,34,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,74.21797943115234 +1987,30,0.5584973692893982,suicide,21-24 yrs,12,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,26.194581985473633 +1987,30,0.5584973692893982,homicide,21-24 yrs,5,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,10.914409637451172 +1987,30,0.5584973692893982,other external,21-24 yrs,8,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,17.463054656982422 +1987,30,0.5584973692893982,internal,21-24 yrs,7,45811,22.564821243286133,1,0.12235915660858154,1.5700000524520874,0.33000001311302185,0.7699999809265137,2.6700000762939453,15.280173301696777 +1988,30,0.23278002440929413,MVA,15-17 yrs,19,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,51.7809944152832 +1988,30,0.23278002440929413,suicide,15-17 yrs,4,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,10.901262283325195 +1988,30,0.23278002440929413,homicide,15-17 yrs,0,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,0 +1988,30,0.23278002440929413,other external,15-17 yrs,8,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.80252456665039 +1988,30,0.23278002440929413,internal,15-17 yrs,8,36693,16.046112060546875,0,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.80252456665039 +1988,30,0.23278002440929413,all,18-20 yrs,36,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,109.83311462402344 +1988,30,0.23278002440929413,MVA,18-20 yrs,16,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,48.81471633911133 +1988,30,0.23278002440929413,suicide,18-20 yrs,10,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,30.509199142456055 +1988,30,0.23278002440929413,homicide,18-20 yrs,3,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.152759552001953 +1988,30,0.23278002440929413,other external,18-20 yrs,3,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.152759552001953 +1988,30,0.23278002440929413,internal,18-20 yrs,4,32777,18.958507537841797,0.23278002440929413,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,12.203679084777832 +1988,30,0.23278002440929413,all,21-24 yrs,52,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,123.74470520019531 +1988,30,0.23278002440929413,MVA,21-24 yrs,21,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,49.97382354736328 +1988,30,0.23278002440929413,suicide,21-24 yrs,8,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,19.037647247314453 +1988,30,0.23278002440929413,homicide,21-24 yrs,4,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,9.518823623657227 +1988,30,0.23278002440929413,other external,21-24 yrs,10,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,23.79705810546875 +1988,30,0.23278002440929413,internal,21-24 yrs,9,42022,22.558326721191406,1,0.11749788373708725,1.590000033378601,0.3199999928474426,0.7599999904632568,2.6600000858306885,21.4173526763916 +1989,30,0.009624539874494076,MVA,15-17 yrs,14,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,40.058372497558594 +1989,30,0.009624539874494076,suicide,15-17 yrs,6,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,17.16787338256836 +1989,30,0.009624539874494076,homicide,15-17 yrs,2,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,5.7226243019104 +1989,30,0.009624539874494076,other external,15-17 yrs,3,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,8.58393669128418 +1989,30,0.009624539874494076,internal,15-17 yrs,5,34949,16.01410675048828,0,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,14.306560516357422 +1989,30,0.009624539874494076,all,18-20 yrs,39,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,117.01521301269531 +1989,30,0.009624539874494076,MVA,18-20 yrs,19,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,57.00741195678711 +1989,30,0.009624539874494076,suicide,18-20 yrs,5,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.00195026397705 +1989,30,0.009624539874494076,homicide,18-20 yrs,2,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,6.00078010559082 +1989,30,0.009624539874494076,other external,18-20 yrs,8,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,24.00312042236328 +1989,30,0.009624539874494076,internal,18-20 yrs,5,33329,18.95877456665039,0.009624539874494076,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.00195026397705 +1989,30,0.009624539874494076,all,21-24 yrs,39,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,100.15922546386719 +1989,30,0.009624539874494076,MVA,21-24 yrs,11,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,28.250038146972656 +1989,30,0.009624539874494076,suicide,21-24 yrs,11,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,28.250038146972656 +1989,30,0.009624539874494076,homicide,21-24 yrs,5,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,12.840926170349121 +1989,30,0.009624539874494076,other external,21-24 yrs,6,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.409111976623535 +1989,30,0.009624539874494076,internal,21-24 yrs,6,38938,22.52989387512207,1,0.11209677159786224,1.559999942779541,0.28999999165534973,0.7200000286102295,2.569999933242798,15.409111976623535 +1990,30,0,MVA,15-17 yrs,9,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,25.814594268798828 +1990,30,0,suicide,15-17 yrs,12,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,34.41946029663086 +1990,30,0,homicide,15-17 yrs,0,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,0 +1990,30,0,other external,15-17 yrs,5,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,14.34144115447998 +1990,30,0,internal,15-17 yrs,7,34864,15.9851713180542,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,20.078018188476562 +1990,30,0,all,18-20 yrs,62,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,187.5094451904297 +1990,30,0,MVA,18-20 yrs,31,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,93.75472259521484 +1990,30,0,suicide,18-20 yrs,5,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,15.121729850769043 +1990,30,0,homicide,18-20 yrs,6,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,18.146076202392578 +1990,30,0,other external,18-20 yrs,11,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,33.26780700683594 +1990,30,0,internal,18-20 yrs,9,33065,18.98932456970215,0,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,27.219114303588867 +1990,30,0,all,21-24 yrs,57,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,152.98316955566406 +1990,30,0,MVA,21-24 yrs,25,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,67.09788513183594 +1990,30,0,suicide,21-24 yrs,16,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,42.94264602661133 +1990,30,0,homicide,21-24 yrs,5,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,13.419576644897461 +1990,30,0,other external,21-24 yrs,4,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,10.735661506652832 +1990,30,0,internal,21-24 yrs,7,37259,22.480796813964844,1,0.10635042190551758,1.600000023841858,0.28999999165534973,0.7699999809265137,2.6700000762939453,18.78740692138672 +1991,30,0,MVA,15-17 yrs,9,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,25.122121810913086 +1991,30,0,suicide,15-17 yrs,8,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,22.330774307250977 +1991,30,0,homicide,15-17 yrs,0,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,0 +1991,30,0,other external,15-17 yrs,6,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,16.74808120727539 +1991,30,0,internal,15-17 yrs,10,35825,15.993691444396973,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,27.913467407226562 +1991,30,0,all,18-20 yrs,49,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,144.6067657470703 +1991,30,0,MVA,18-20 yrs,22,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,64.92548370361328 +1991,30,0,suicide,18-20 yrs,10,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,29.51158332824707 +1991,30,0,homicide,18-20 yrs,1,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,2.951158285140991 +1991,30,0,other external,18-20 yrs,7,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,20.65810775756836 +1991,30,0,internal,18-20 yrs,9,33885,19.00041389465332,0,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,26.5604248046875 +1991,30,0,all,21-24 yrs,55,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,145.1761932373047 +1991,30,0,MVA,21-24 yrs,25,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,65.98918151855469 +1991,30,0,suicide,21-24 yrs,11,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,29.03523826599121 +1991,30,0,homicide,21-24 yrs,4,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,10.558268547058105 +1991,30,0,other external,21-24 yrs,7,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,18.476970672607422 +1991,30,0,internal,21-24 yrs,8,37885,22.446666717529297,1,0.10205580294132233,1.6100000143051147,0.2800000011920929,0.7599999904632568,2.640000104904175,21.11653709411621 +1992,30,0,MVA,15-17 yrs,17,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,44.93906784057617 +1992,30,0,suicide,15-17 yrs,7,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,18.504322052001953 +1992,30,0,homicide,15-17 yrs,3,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,7.930423736572266 +1992,30,0,other external,15-17 yrs,5,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,13.21737289428711 +1992,30,0,internal,15-17 yrs,7,37829,15.988157272338867,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,18.504322052001953 +1992,30,0,all,18-20 yrs,42,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,121.28562927246094 +1992,30,0,MVA,18-20 yrs,20,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,57.755062103271484 +1992,30,0,suicide,18-20 yrs,6,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,17.326519012451172 +1992,30,0,homicide,18-20 yrs,1,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,2.8877530097961426 +1992,30,0,other external,18-20 yrs,9,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,25.989776611328125 +1992,30,0,internal,18-20 yrs,6,34629,18.99205780029297,0,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,17.326519012451172 +1992,30,0,all,21-24 yrs,57,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,144.5050048828125 +1992,30,0,MVA,21-24 yrs,20,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,50.70351028442383 +1992,30,0,suicide,21-24 yrs,11,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,27.886930465698242 +1992,30,0,homicide,21-24 yrs,3,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,7.605526447296143 +1992,30,0,other external,21-24 yrs,13,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,32.95728302001953 +1992,30,0,internal,21-24 yrs,10,39445,22.421142578125,1,0.09886648505926132,1.590000033378601,0.25999999046325684,0.75,2.609999895095825,25.351755142211914 +1993,30,0,MVA,15-17 yrs,16,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,40.61738586425781 +1993,30,0,suicide,15-17 yrs,10,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,25.3858642578125 +1993,30,0,homicide,15-17 yrs,2,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,5.077173233032227 +1993,30,0,other external,15-17 yrs,5,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,12.69293212890625 +1993,30,0,internal,15-17 yrs,1,39392,15.9859619140625,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.5385866165161133 +1993,30,0,all,18-20 yrs,49,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,134.94161987304688 +1993,30,0,MVA,18-20 yrs,28,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,77.1094970703125 +1993,30,0,suicide,18-20 yrs,10,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,27.539106369018555 +1993,30,0,homicide,18-20 yrs,1,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.753910541534424 +1993,30,0,other external,18-20 yrs,6,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.52346420288086 +1993,30,0,internal,18-20 yrs,4,36312,18.981769561767578,0,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,11.015642166137695 +1993,30,0,all,21-24 yrs,55,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,133.06558227539062 +1993,30,0,MVA,21-24 yrs,29,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,70.16185760498047 +1993,30,0,suicide,21-24 yrs,11,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,26.613117218017578 +1993,30,0,homicide,21-24 yrs,1,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,2.419374465942383 +1993,30,0,other external,21-24 yrs,7,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.93562126159668 +1993,30,0,internal,21-24 yrs,7,41333,22.433551788330078,1,0.09599285572767258,1.4900000095367432,0.25,0.7300000190734863,2.4700000286102295,16.93562126159668 +1994,30,0,MVA,15-17 yrs,15,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,36.37686538696289 +1994,30,0,suicide,15-17 yrs,5,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,12.125621795654297 +1994,30,0,homicide,15-17 yrs,1,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.425124406814575 +1994,30,0,other external,15-17 yrs,8,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,19.4009952545166 +1994,30,0,internal,15-17 yrs,4,41235,15.996023178100586,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,9.7004976272583 +1994,30,0,all,18-20 yrs,51,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,135.2605743408203 +1994,30,0,MVA,18-20 yrs,23,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,60.9998664855957 +1994,30,0,suicide,18-20 yrs,8,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,21.217344284057617 +1994,30,0,homicide,18-20 yrs,1,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.652168035507202 +1994,30,0,other external,18-20 yrs,12,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,31.826017379760742 +1994,30,0,internal,18-20 yrs,7,37705,18.987136840820312,0,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,18.56517791748047 +1994,30,0,all,21-24 yrs,42,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,98.04150390625 +1994,30,0,MVA,21-24 yrs,15,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,35.01482391357422 +1994,30,0,suicide,21-24 yrs,11,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,25.677536010742188 +1994,30,0,homicide,21-24 yrs,1,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,2.3343214988708496 +1994,30,0,other external,21-24 yrs,9,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,21.008893966674805 +1994,30,0,internal,21-24 yrs,6,42839,22.45071029663086,1,0.09359627962112427,1.5700000524520874,0.23999999463558197,0.699999988079071,2.509999990463257,14.005928993225098 +1995,30,0,MVA,15-17 yrs,14,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,32.739349365234375 +1995,30,0,suicide,15-17 yrs,12,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,28.062297821044922 +1995,30,0,homicide,15-17 yrs,6,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,14.031148910522461 +1995,30,0,other external,15-17 yrs,3,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,7.0155744552612305 +1995,30,0,internal,15-17 yrs,11,42762,15.989944458007812,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,25.723773956298828 +1995,30,0,all,18-20 yrs,39,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,98.37554168701172 +1995,30,0,MVA,18-20 yrs,18,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,45.40409469604492 +1995,30,0,suicide,18-20 yrs,12,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,30.269397735595703 +1995,30,0,homicide,18-20 yrs,0,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,0 +1995,30,0,other external,18-20 yrs,6,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,15.134698867797852 +1995,30,0,internal,18-20 yrs,3,39644,18.982872009277344,0,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,7.567349433898926 +1995,30,0,all,21-24 yrs,50,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,113.55635833740234 +1995,30,0,MVA,21-24 yrs,15,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,34.0669059753418 +1995,30,0,suicide,21-24 yrs,15,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,34.0669059753418 +1995,30,0,homicide,21-24 yrs,3,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,6.813381671905518 +1995,30,0,other external,21-24 yrs,8,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,18.169017791748047 +1995,30,0,internal,21-24 yrs,9,44031,22.455474853515625,1,0.09101685136556625,1.4900000095367432,0.25999999046325684,0.7799999713897705,2.5399999618530273,20.440143585205078 +1996,30,0,MVA,15-17 yrs,10,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,22.850875854492188 +1996,30,0,suicide,15-17 yrs,6,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,13.710525512695312 +1996,30,0,homicide,15-17 yrs,3,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,6.855262756347656 +1996,30,0,other external,15-17 yrs,5,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,11.425437927246094 +1996,30,0,internal,15-17 yrs,3,43762,16.01032829284668,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,6.855262756347656 +1996,30,0,all,18-20 yrs,47,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,115.34874725341797 +1996,30,0,MVA,18-20 yrs,21,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,51.53880310058594 +1996,30,0,suicide,18-20 yrs,10,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,24.542285919189453 +1996,30,0,homicide,18-20 yrs,1,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,2.454228639602661 +1996,30,0,other external,18-20 yrs,9,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,22.088058471679688 +1996,30,0,internal,18-20 yrs,6,40746,18.97972869873047,0,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,14.725371360778809 +1996,30,0,all,21-24 yrs,62,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,138.41757202148438 +1996,30,0,MVA,21-24 yrs,22,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,49.11591339111328 +1996,30,0,suicide,21-24 yrs,14,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,31.25558090209961 +1996,30,0,homicide,21-24 yrs,0,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,0 +1996,30,0,other external,21-24 yrs,12,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,26.790498733520508 +1996,30,0,internal,21-24 yrs,14,44792,22.432241439819336,1,0.08840642869472504,1.4900000095367432,0.27000001072883606,0.6399999856948853,2.4000000953674316,31.25558090209961 +1970,31,0.31476378440856934,MVA,15-17 yrs,45,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,51.57356643676758 +1970,31,0.31476378440856934,suicide,15-17 yrs,1,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,1.1460793018341064 +1970,31,0.31476378440856934,homicide,15-17 yrs,2,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,2.292158603668213 +1970,31,0.31476378440856934,other external,15-17 yrs,20,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,22.921585083007812 +1970,31,0.31476378440856934,internal,15-17 yrs,15,87254,15.987793922424316,0,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,17.19118881225586 +1970,31,0.31476378440856934,all,18-20 yrs,126,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,153.6622772216797 +1970,31,0.31476378440856934,MVA,18-20 yrs,59,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,71.952972412109375 +1970,31,0.31476378440856934,suicide,18-20 yrs,4,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,4.878167629241943 +1970,31,0.31476378440856934,homicide,18-20 yrs,4,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,4.878167629241943 +1970,31,0.31476378440856934,other external,18-20 yrs,34,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,41.46442413330078 +1970,31,0.31476378440856934,internal,18-20 yrs,25,81998,18.96125602722168,0.31476378440856934,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,30.488548278808594 +1970,31,0.31476378440856934,all,21-24 yrs,117,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,131.26451110839844 +1970,31,0.31476378440856934,MVA,21-24 yrs,47,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,52.73019027709961 +1970,31,0.31476378440856934,suicide,21-24 yrs,8,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,8.975351333618164 +1970,31,0.31476378440856934,homicide,21-24 yrs,7,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,7.853432655334473 +1970,31,0.31476378440856934,other external,21-24 yrs,24,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,26.926054000854492 +1970,31,0.31476378440856934,internal,21-24 yrs,31,89133,22.394567489624023,1,0.20618556439876556,1.2799999713897705,0.12999999523162842,1.0099999904632568,2.430000066757202,34.77948760986328 +1971,31,0.32733622193336487,MVA,15-17 yrs,51,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,57.34589767456055 +1971,31,0.32733622193336487,suicide,15-17 yrs,2,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,2.248858690261841 +1971,31,0.32733622193336487,homicide,15-17 yrs,0,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,0 +1971,31,0.32733622193336487,other external,15-17 yrs,20,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,22.48858642578125 +1971,31,0.32733622193336487,internal,15-17 yrs,26,88934,15.988283157348633,0,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,29.23516273498535 +1971,31,0.32733622193336487,all,18-20 yrs,115,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,135.6724090576172 +1971,31,0.32733622193336487,MVA,18-20 yrs,66,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,77.8641586303711 +1971,31,0.32733622193336487,suicide,18-20 yrs,13,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,15.336880683898926 +1971,31,0.32733622193336487,homicide,18-20 yrs,2,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,2.3595199584960938 +1971,31,0.32733622193336487,other external,18-20 yrs,16,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,18.87615966796875 +1971,31,0.32733622193336487,internal,18-20 yrs,18,84763,18.99039649963379,0.32733622193336487,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,21.235681533813477 +1971,31,0.32733622193336487,all,21-24 yrs,106,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,106.0296859741211 +1971,31,0.32733622193336487,MVA,21-24 yrs,48,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,48.01344299316406 +1971,31,0.32733622193336487,suicide,21-24 yrs,6,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,6.001680374145508 +1971,31,0.32733622193336487,homicide,21-24 yrs,8,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,8.002240180969238 +1971,31,0.32733622193336487,other external,21-24 yrs,17,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,17.0047607421875 +1971,31,0.32733622193336487,internal,21-24 yrs,27,99972,22.50463104248047,1,0.1975308656692505,1.350000023841858,0.1599999964237213,1.0199999809265137,2.5299999713897705,27.0075626373291 +1972,31,0.5257138013839722,MVA,15-17 yrs,46,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,50.85907745361328 +1972,31,0.5257138013839722,suicide,15-17 yrs,4,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.422528266906738 +1972,31,0.5257138013839722,homicide,15-17 yrs,4,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.422528266906738 +1972,31,0.5257138013839722,other external,15-17 yrs,18,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,19.901376724243164 +1972,31,0.5257138013839722,internal,15-17 yrs,22,90446,15.982409477233887,0,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,24.32390594482422 +1972,31,0.5257138013839722,all,18-20 yrs,112,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,129.61012268066406 +1972,31,0.5257138013839722,MVA,18-20 yrs,68,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,78.691864013671875 +1972,31,0.5257138013839722,suicide,18-20 yrs,4,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,4.628932952880859 +1972,31,0.5257138013839722,homicide,18-20 yrs,2,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,2.3144664764404297 +1972,31,0.5257138013839722,other external,18-20 yrs,12,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,13.886799812316895 +1972,31,0.5257138013839722,internal,18-20 yrs,26,86413,18.994110107421875,0.5257138013839722,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,30.08806610107422 +1972,31,0.5257138013839722,all,21-24 yrs,166,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,161.39695739746094 +1972,31,0.5257138013839722,MVA,21-24 yrs,70,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,68.0589599609375 +1972,31,0.5257138013839722,suicide,21-24 yrs,10,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,9.722708702087402 +1972,31,0.5257138013839722,homicide,21-24 yrs,6,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,5.833624839782715 +1972,31,0.5257138013839722,other external,21-24 yrs,36,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,35.00175094604492 +1972,31,0.5257138013839722,internal,21-24 yrs,44,102852,22.466262817382812,1,0.23923446238040924,1.2699999809265137,0.1599999964237213,0.9700000286102295,2.4000000953674316,42.7799186706543 +1973,31,0.6647167205810547,MVA,15-17 yrs,29,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,31.631763458251953 +1973,31,0.6647167205810547,suicide,15-17 yrs,4,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,4.363001823425293 +1973,31,0.6647167205810547,homicide,15-17 yrs,5,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.453752040863037 +1973,31,0.6647167205810547,other external,15-17 yrs,11,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,11.998254776000977 +1973,31,0.6647167205810547,internal,15-17 yrs,18,91680,15.989157676696777,0,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,19.633508682250977 +1973,31,0.6647167205810547,all,18-20 yrs,103,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,117.9123764038086 +1973,31,0.6647167205810547,MVA,18-20 yrs,49,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,56.09423828125 +1973,31,0.6647167205810547,suicide,18-20 yrs,8,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,9.158243179321289 +1973,31,0.6647167205810547,homicide,18-20 yrs,5,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.723901748657227 +1973,31,0.6647167205810547,other external,18-20 yrs,11,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,12.592583656311035 +1973,31,0.6647167205810547,internal,18-20 yrs,30,87353,18.9925594329834,0.6647167205810547,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,34.34341049194336 +1973,31,0.6647167205810547,all,21-24 yrs,130,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,122.82807159423828 +1973,31,0.6647167205810547,MVA,21-24 yrs,59,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,55.74504852294922 +1973,31,0.6647167205810547,suicide,21-24 yrs,6,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,5.66898775100708 +1973,31,0.6647167205810547,homicide,21-24 yrs,5,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,4.724156379699707 +1973,31,0.6647167205810547,other external,21-24 yrs,27,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,25.51044464111328 +1973,31,0.6647167205810547,internal,21-24 yrs,33,105839,22.46831512451172,1,0.22522522509098053,1.3600000143051147,0.14000000059604645,0.9800000190734863,2.4800000190734863,31.179433822631836 +1974,31,0.6656310558319092,MVA,15-17 yrs,32,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,34.48201370239258 +1974,31,0.6656310558319092,suicide,15-17 yrs,6,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,6.4653778076171875 +1974,31,0.6656310558319092,homicide,15-17 yrs,5,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,5.387814998626709 +1974,31,0.6656310558319092,other external,15-17 yrs,24,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,25.86151123046875 +1974,31,0.6656310558319092,internal,15-17 yrs,27,92802,15.992155075073242,0,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,29.094200134277344 +1974,31,0.6656310558319092,all,18-20 yrs,121,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,135.7126007080078 +1974,31,0.6656310558319092,MVA,18-20 yrs,65,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,72.9034652709961 +1974,31,0.6656310558319092,suicide,18-20 yrs,13,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,14.580693244934082 +1974,31,0.6656310558319092,homicide,18-20 yrs,4,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,4.486367225646973 +1974,31,0.6656310558319092,other external,18-20 yrs,14,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,15.702284812927246 +1974,31,0.6656310558319092,internal,18-20 yrs,25,89159,18.996803283691406,0.6656310558319092,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,28.039794921875 +1974,31,0.6656310558319092,all,21-24 yrs,139,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,128.82298278808594 +1974,31,0.6656310558319092,MVA,21-24 yrs,47,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,43.5588493347168 +1974,31,0.6656310558319092,suicide,21-24 yrs,25,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,23.169601440429688 +1974,31,0.6656310558319092,homicide,21-24 yrs,7,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,6.487488269805908 +1974,31,0.6656310558319092,other external,21-24 yrs,25,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,23.169601440429688 +1974,31,0.6656310558319092,internal,21-24 yrs,35,107900,22.475811004638672,1,0.20283976197242737,1.3799999952316284,0.14000000059604645,1.0099999904632568,2.5299999713897705,32.437442779541016 +1975,31,0.6642671823501587,MVA,15-17 yrs,36,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,38.81861877441406 +1975,31,0.6642671823501587,suicide,15-17 yrs,5,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,5.391475200653076 +1975,31,0.6642671823501587,homicide,15-17 yrs,3,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,3.2348849773406982 +1975,31,0.6642671823501587,other external,15-17 yrs,15,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,16.17442512512207 +1975,31,0.6642671823501587,internal,15-17 yrs,27,92739,15.990823745727539,0,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.113964080810547 +1975,31,0.6642671823501587,all,18-20 yrs,149,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,164.25067138671875 +1975,31,0.6642671823501587,MVA,18-20 yrs,77,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,84.88121795654297 +1975,31,0.6642671823501587,suicide,18-20 yrs,10,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,11.023534774780273 +1975,31,0.6642671823501587,homicide,18-20 yrs,6,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,6.614120960235596 +1975,31,0.6642671823501587,other external,18-20 yrs,27,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.763545989990234 +1975,31,0.6642671823501587,internal,18-20 yrs,29,90715,18.992679595947266,0.6642671823501587,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,31.968252182006836 +1975,31,0.6642671823501587,all,21-24 yrs,145,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,131.59446716308594 +1975,31,0.6642671823501587,MVA,21-24 yrs,59,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,53.54533767700195 +1975,31,0.6642671823501587,suicide,21-24 yrs,16,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,14.520769119262695 +1975,31,0.6642671823501587,homicide,21-24 yrs,11,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,9.983028411865234 +1975,31,0.6642671823501587,other external,21-24 yrs,27,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,24.50379753112793 +1975,31,0.6642671823501587,internal,21-24 yrs,32,110187,22.483341217041016,1,0.1858736127614975,1.3799999952316284,0.1599999964237213,0.9800000190734863,2.509999990463257,29.04153823852539 +1976,31,0.6708330512046814,MVA,15-17 yrs,32,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,34.14389419555664 +1976,31,0.6708330512046814,suicide,15-17 yrs,8,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,8.53597354888916 +1976,31,0.6708330512046814,homicide,15-17 yrs,2,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,2.13399338722229 +1976,31,0.6708330512046814,other external,15-17 yrs,21,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,22.406930923461914 +1976,31,0.6708330512046814,internal,15-17 yrs,13,93721,15.988401412963867,0,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,13.870957374572754 +1976,31,0.6708330512046814,all,18-20 yrs,104,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,113.13447570800781 +1976,31,0.6708330512046814,MVA,18-20 yrs,55,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,59.83073425292969 +1976,31,0.6708330512046814,suicide,18-20 yrs,5,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.439157485961914 +1976,31,0.6708330512046814,homicide,18-20 yrs,5,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.439157485961914 +1976,31,0.6708330512046814,other external,18-20 yrs,24,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,26.107955932617188 +1976,31,0.6708330512046814,internal,18-20 yrs,15,91926,19.000925064086914,0.6708330512046814,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,16.317472457885742 +1976,31,0.6708330512046814,all,21-24 yrs,137,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,122.80937957763672 +1976,31,0.6708330512046814,MVA,21-24 yrs,58,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,51.99229049682617 +1976,31,0.6708330512046814,suicide,21-24 yrs,16,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,14.342700958251953 +1976,31,0.6708330512046814,homicide,21-24 yrs,6,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,5.378512859344482 +1976,31,0.6708330512046814,other external,21-24 yrs,30,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,26.89256477355957 +1976,31,0.6708330512046814,internal,21-24 yrs,27,111555,22.481395721435547,1,0.17574691772460938,1.3899999856948853,0.17000000178813934,0.9700000286102295,2.5399999618530273,24.20330810546875 +1977,31,0.6709693670272827,MVA,15-17 yrs,31,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,33.160400390625 +1977,31,0.6709693670272827,suicide,15-17 yrs,4,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,4.278761386871338 +1977,31,0.6709693670272827,homicide,15-17 yrs,2,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,2.139380693435669 +1977,31,0.6709693670272827,other external,15-17 yrs,14,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,14.975664138793945 +1977,31,0.6709693670272827,internal,15-17 yrs,14,93485,15.995732307434082,0,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,14.975664138793945 +1977,31,0.6709693670272827,all,18-20 yrs,123,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,132.41754150390625 +1977,31,0.6709693670272827,MVA,18-20 yrs,65,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,69.97674560546875 +1977,31,0.6709693670272827,suicide,18-20 yrs,12,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,12.918784141540527 +1977,31,0.6709693670272827,homicide,18-20 yrs,4,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,4.3062615394592285 +1977,31,0.6709693670272827,other external,18-20 yrs,24,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,25.837568283081055 +1977,31,0.6709693670272827,internal,18-20 yrs,18,92888,19.00566291809082,0.6709693670272827,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,19.378175735473633 +1977,31,0.6709693670272827,all,21-24 yrs,147,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,129.94705200195312 +1977,31,0.6709693670272827,MVA,21-24 yrs,54,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,47.73564910888672 +1977,31,0.6709693670272827,suicide,21-24 yrs,17,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,15.0278902053833 +1977,31,0.6709693670272827,homicide,21-24 yrs,11,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,9.723928451538086 +1977,31,0.6709693670272827,other external,21-24 yrs,27,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,23.86782455444336 +1977,31,0.6709693670272827,internal,21-24 yrs,38,113123,22.47738265991211,1,0.18151815235614777,1.4500000476837158,0.17000000178813934,0.9100000262260437,2.5299999713897705,33.59175491333008 +1978,31,0.6724247336387634,MVA,15-17 yrs,40,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,43.380184173583984 +1978,31,0.6724247336387634,suicide,15-17 yrs,6,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,6.507027626037598 +1978,31,0.6724247336387634,homicide,15-17 yrs,0,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,0 +1978,31,0.6724247336387634,other external,15-17 yrs,15,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,16.267568588256836 +1978,31,0.6724247336387634,internal,15-17 yrs,13,92208,16.013275146484375,0,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,14.098559379577637 +1978,31,0.6724247336387634,all,18-20 yrs,103,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,110.99496459960938 +1978,31,0.6724247336387634,MVA,18-20 yrs,57,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,61.424400329589844 +1978,31,0.6724247336387634,suicide,18-20 yrs,5,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,5.388105392456055 +1978,31,0.6724247336387634,homicide,18-20 yrs,4,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,4.310484409332275 +1978,31,0.6724247336387634,other external,18-20 yrs,16,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,17.2419376373291 +1978,31,0.6724247336387634,internal,18-20 yrs,21,92797,19.004148483276367,0.6724247336387634,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,22.630041122436523 +1978,31,0.6724247336387634,all,21-24 yrs,102,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,88.69642639160156 +1978,31,0.6724247336387634,MVA,21-24 yrs,42,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,36.522056579589844 +1978,31,0.6724247336387634,suicide,21-24 yrs,14,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,12.174018859863281 +1978,31,0.6724247336387634,homicide,21-24 yrs,4,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,3.4782910346984863 +1978,31,0.6724247336387634,other external,21-24 yrs,18,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,15.652310371398926 +1978,31,0.6724247336387634,internal,21-24 yrs,24,114999,22.477596282958984,1,0.16871166229248047,1.4700000286102295,0.18000000715255737,0.8899999856948853,2.5399999618530273,20.869747161865234 +1979,31,0.6703671216964722,MVA,15-17 yrs,45,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,50.524898529052734 +1979,31,0.6703671216964722,suicide,15-17 yrs,11,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,12.350530624389648 +1979,31,0.6703671216964722,homicide,15-17 yrs,2,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,2.245551109313965 +1979,31,0.6703671216964722,other external,15-17 yrs,13,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,14.596081733703613 +1979,31,0.6703671216964722,internal,15-17 yrs,20,89065,16.017044067382812,0,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,22.455509185791016 +1979,31,0.6703671216964722,all,18-20 yrs,96,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,102.57286834716797 +1979,31,0.6703671216964722,MVA,18-20 yrs,44,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,47.01256561279297 +1979,31,0.6703671216964722,suicide,18-20 yrs,7,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,7.47927188873291 +1979,31,0.6703671216964722,homicide,18-20 yrs,2,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,2.136934757232666 +1979,31,0.6703671216964722,other external,18-20 yrs,25,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,26.711685180664062 +1979,31,0.6703671216964722,internal,18-20 yrs,18,93592,19.00319480895996,0.6703671216964722,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,19.232412338256836 +1979,31,0.6703671216964722,all,21-24 yrs,127,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,109.25201416015625 +1979,31,0.6703671216964722,MVA,21-24 yrs,39,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,33.54983139038086 +1979,31,0.6703671216964722,suicide,21-24 yrs,19,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,16.344789505004883 +1979,31,0.6703671216964722,homicide,21-24 yrs,11,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,9.462772369384766 +1979,31,0.6703671216964722,other external,21-24 yrs,28,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,24.08705711364746 +1979,31,0.6703671216964722,internal,21-24 yrs,30,116245,22.482885360717773,1,0.1652892529964447,1.5,0.18000000715255737,0.8799999952316284,2.569999933242798,25.80756187438965 +1980,31,0.5230341553688049,MVA,15-17 yrs,38,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,45.0605354309082 +1980,31,0.5230341553688049,suicide,15-17 yrs,4,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,4.743214130401611 +1980,31,0.5230341553688049,homicide,15-17 yrs,1,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,1.1858035326004028 +1980,31,0.5230341553688049,other external,15-17 yrs,14,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,16.60124969482422 +1980,31,0.5230341553688049,internal,15-17 yrs,17,84331,16.0296688079834,0,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,20.158660888671875 +1980,31,0.5230341553688049,all,18-20 yrs,112,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,120.83809661865234 +1980,31,0.5230341553688049,MVA,18-20 yrs,63,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,67.97142791748047 +1980,31,0.5230341553688049,suicide,18-20 yrs,7,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,7.5523810386657715 +1980,31,0.5230341553688049,homicide,18-20 yrs,9,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,9.710204124450684 +1980,31,0.5230341553688049,other external,18-20 yrs,16,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,17.262584686279297 +1980,31,0.5230341553688049,internal,18-20 yrs,17,92686,19.013011932373047,0.5230341553688049,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,18.34149742126465 +1980,31,0.5230341553688049,all,21-24 yrs,139,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,117.80859375 +1980,31,0.5230341553688049,MVA,21-24 yrs,58,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,49.15754318237305 +1980,31,0.5230341553688049,suicide,21-24 yrs,16,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,13.560701370239258 +1980,31,0.5230341553688049,homicide,21-24 yrs,13,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,11.01806926727295 +1980,31,0.5230341553688049,other external,21-24 yrs,17,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,14.408245086669922 +1980,31,0.5230341553688049,internal,21-24 yrs,35,117988,22.489084243774414,1,0.14563106000423431,1.559999942779541,0.1899999976158142,0.8899999856948853,2.640000104904175,29.664033889770508 +1981,31,0.34682348370552063,MVA,15-17 yrs,34,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,42.75223922729492 +1981,31,0.34682348370552063,suicide,15-17 yrs,6,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,7.544512748718262 +1981,31,0.34682348370552063,homicide,15-17 yrs,3,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,3.772256374359131 +1981,31,0.34682348370552063,other external,15-17 yrs,9,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,11.316768646240234 +1981,31,0.34682348370552063,internal,15-17 yrs,6,79528,16.044689178466797,0,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,7.544512748718262 +1981,31,0.34682348370552063,all,18-20 yrs,116,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,127.74345397949219 +1981,31,0.34682348370552063,MVA,18-20 yrs,64,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,70.4791488647461 +1981,31,0.34682348370552063,suicide,18-20 yrs,6,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,6.607419967651367 +1981,31,0.34682348370552063,homicide,18-20 yrs,8,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,8.809893608093262 +1981,31,0.34682348370552063,other external,18-20 yrs,23,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,25.32844352722168 +1981,31,0.34682348370552063,internal,18-20 yrs,15,90807,19.03211212158203,0.34682348370552063,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.518550872802734 +1981,31,0.34682348370552063,all,21-24 yrs,120,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,101.3119888305664 +1981,31,0.34682348370552063,MVA,21-24 yrs,58,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,48.96746063232422 +1981,31,0.34682348370552063,suicide,21-24 yrs,15,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,12.6639986038208 +1981,31,0.34682348370552063,homicide,21-24 yrs,7,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,5.9098663330078125 +1981,31,0.34682348370552063,other external,21-24 yrs,20,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.885332107543945 +1981,31,0.34682348370552063,internal,21-24 yrs,20,118446,22.492849349975586,1,0.1540154069662094,1.5700000524520874,0.20000000298023224,0.8799999952316284,2.6600000858306885,16.885332107543945 +1982,31,0.3458697497844696,MVA,15-17 yrs,15,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,20.081127166748047 +1982,31,0.3458697497844696,suicide,15-17 yrs,5,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,6.693709373474121 +1982,31,0.3458697497844696,homicide,15-17 yrs,1,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,1.3387418985366821 +1982,31,0.3458697497844696,other external,15-17 yrs,7,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,9.371192932128906 +1982,31,0.3458697497844696,internal,15-17 yrs,8,74697,16.03520965576172,0,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,10.709935188293457 +1982,31,0.3458697497844696,all,18-20 yrs,81,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,92.76331329345703 +1982,31,0.3458697497844696,MVA,18-20 yrs,36,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,41.22814178466797 +1982,31,0.3458697497844696,suicide,18-20 yrs,12,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,13.742713928222656 +1982,31,0.3458697497844696,homicide,18-20 yrs,6,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,6.871356964111328 +1982,31,0.3458697497844696,other external,18-20 yrs,10,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,11.452260971069336 +1982,31,0.3458697497844696,internal,18-20 yrs,17,87319,19.029340744018555,0.3458697497844696,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,19.468843460083008 +1982,31,0.3458697497844696,all,21-24 yrs,97,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,81.97968292236328 +1982,31,0.3458697497844696,MVA,21-24 yrs,29,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,24.509389877319336 +1982,31,0.3458697497844696,suicide,21-24 yrs,14,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,11.83211898803711 +1982,31,0.3458697497844696,homicide,21-24 yrs,4,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,3.380605459213257 +1982,31,0.3458697497844696,other external,21-24 yrs,22,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,18.59333038330078 +1982,31,0.3458697497844696,internal,21-24 yrs,28,118322,22.48280906677246,1,0.14507772028446198,1.5,0.2800000011920929,0.5799999833106995,2.369999885559082,23.66423797607422 +1983,31,0.34818771481513977,MVA,15-17 yrs,17,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,23.865678787231445 +1983,31,0.34818771481513977,suicide,15-17 yrs,5,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,7.019317150115967 +1983,31,0.34818771481513977,homicide,15-17 yrs,1,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,1.4038634300231934 +1983,31,0.34818771481513977,other external,15-17 yrs,6,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,8.42318058013916 +1983,31,0.34818771481513977,internal,15-17 yrs,8,71232,16.02063751220703,0,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,11.230907440185547 +1983,31,0.34818771481513977,all,18-20 yrs,79,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,94.81517028808594 +1983,31,0.34818771481513977,MVA,18-20 yrs,41,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,49.2078742980957 +1983,31,0.34818771481513977,suicide,18-20 yrs,6,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,7.201152324676514 +1983,31,0.34818771481513977,homicide,18-20 yrs,4,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,4.80076789855957 +1983,31,0.34818771481513977,other external,18-20 yrs,12,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,14.402304649353027 +1983,31,0.34818771481513977,internal,18-20 yrs,16,83320,19.03925895690918,0.34818771481513977,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,19.20307159423828 +1983,31,0.34818771481513977,all,21-24 yrs,116,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,98.97779846191406 +1983,31,0.34818771481513977,MVA,21-24 yrs,43,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,36.69004440307617 +1983,31,0.34818771481513977,suicide,21-24 yrs,15,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,12.798852920532227 +1983,31,0.34818771481513977,homicide,21-24 yrs,8,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,6.82605504989624 +1983,31,0.34818771481513977,other external,21-24 yrs,18,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,15.358623504638672 +1983,31,0.34818771481513977,internal,21-24 yrs,32,117198,22.496143341064453,1,0.1405622512102127,1.4900000095367432,0.20999999344348907,0.7900000214576721,2.490000009536743,27.30422019958496 +1984,31,0.3577482998371124,MVA,15-17 yrs,26,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,37.03123474121094 +1984,31,0.3577482998371124,suicide,15-17 yrs,6,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,8.5456695556640625 +1984,31,0.3577482998371124,homicide,15-17 yrs,3,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,4.272834777832031 +1984,31,0.3577482998371124,other external,15-17 yrs,11,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,15.667060852050781 +1984,31,0.3577482998371124,internal,15-17 yrs,9,70211,16.001310348510742,0,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,12.818504333496094 +1984,31,0.3577482998371124,all,18-20 yrs,69,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,87.42255401611328 +1984,31,0.3577482998371124,MVA,18-20 yrs,26,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,32.94183349609375 +1984,31,0.3577482998371124,suicide,18-20 yrs,11,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,13.936928749084473 +1984,31,0.3577482998371124,homicide,18-20 yrs,6,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,7.601961135864258 +1984,31,0.3577482998371124,other external,18-20 yrs,10,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,12.66993522644043 +1984,31,0.3577482998371124,internal,18-20 yrs,16,78927,19.053911209106445,0.3577482998371124,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,20.271896362304688 +1984,31,0.3577482998371124,all,21-24 yrs,100,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,86.64385223388672 +1984,31,0.3577482998371124,MVA,21-24 yrs,36,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,31.19178581237793 +1984,31,0.3577482998371124,suicide,21-24 yrs,16,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,13.863016128540039 +1984,31,0.3577482998371124,homicide,21-24 yrs,6,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,5.1986308097839355 +1984,31,0.3577482998371124,other external,21-24 yrs,20,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,17.32876968383789 +1984,31,0.3577482998371124,internal,21-24 yrs,22,115415,22.51854705810547,1,0.13474494218826294,1.440000057220459,0.20000000298023224,0.7599999904632568,2.4100000858306885,19.061647415161133 +1985,31,0.1764204502105713,MVA,15-17 yrs,18,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,25.51526641845703 +1985,31,0.1764204502105713,suicide,15-17 yrs,5,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,7.087574005126953 +1985,31,0.1764204502105713,homicide,15-17 yrs,0,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,0 +1985,31,0.1764204502105713,other external,15-17 yrs,11,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,15.592662811279297 +1985,31,0.1764204502105713,internal,15-17 yrs,13,70546,15.98602294921875,0,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,18.427692413330078 +1985,31,0.1764204502105713,all,18-20 yrs,68,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,92.25467681884766 +1985,31,0.1764204502105713,MVA,18-20 yrs,33,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,44.770652770996094 +1985,31,0.1764204502105713,suicide,18-20 yrs,8,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,10.85349178314209 +1985,31,0.1764204502105713,homicide,18-20 yrs,2,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,2.7133729457855225 +1985,31,0.1764204502105713,other external,18-20 yrs,14,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,18.993610382080078 +1985,31,0.1764204502105713,internal,18-20 yrs,11,73709,19.042545318603516,0.1764204502105713,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,14.923550605773926 +1985,31,0.1764204502105713,all,21-24 yrs,82,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,73.6568832397461 +1985,31,0.1764204502105713,MVA,21-24 yrs,31,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,27.845895767211914 +1985,31,0.1764204502105713,suicide,21-24 yrs,18,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,16.1685848236084 +1985,31,0.1764204502105713,homicide,21-24 yrs,6,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,5.389528274536133 +1985,31,0.1764204502105713,other external,21-24 yrs,10,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,8.98254680633545 +1985,31,0.1764204502105713,internal,21-24 yrs,17,111327,22.534847259521484,1,0.1858736127614975,1.399999976158142,0.2199999988079071,0.75,2.369999885559082,15.270329475402832 +1986,31,0,MVA,15-17 yrs,25,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,34.82573318481445 +1986,31,0,suicide,15-17 yrs,6,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,8.358175277709961 +1986,31,0,homicide,15-17 yrs,1,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,1.3930293321609497 +1986,31,0,other external,15-17 yrs,9,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,12.537263870239258 +1986,31,0,internal,15-17 yrs,10,71786,15.981222152709961,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,13.930293083190918 +1986,31,0,all,18-20 yrs,82,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,117.59812927246094 +1986,31,0,MVA,18-20 yrs,44,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,63.101436614990234 +1986,31,0,suicide,18-20 yrs,10,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,14.341235160827637 +1986,31,0,homicide,18-20 yrs,3,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,4.302370548248291 +1986,31,0,other external,18-20 yrs,10,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,14.341235160827637 +1986,31,0,internal,18-20 yrs,15,69729,19.026517868041992,0,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,21.511852264404297 +1986,31,0,all,21-24 yrs,125,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,119.1395263671875 +1986,31,0,MVA,21-24 yrs,47,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,44.79646301269531 +1986,31,0,suicide,21-24 yrs,17,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,16.20297622680664 +1986,31,0,homicide,21-24 yrs,17,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,16.20297622680664 +1986,31,0,other external,21-24 yrs,19,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,18.109207153320312 +1986,31,0,internal,21-24 yrs,25,104919,22.543495178222656,1,0.18248175084590912,1.3799999952316284,0.23000000417232513,0.6700000166893005,2.2799999713897705,23.827905654907227 +1987,31,0,MVA,15-17 yrs,36,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,50.821617126464844 +1987,31,0,suicide,15-17 yrs,9,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,12.705404281616211 +1987,31,0,homicide,15-17 yrs,6,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,8.470269203186035 +1987,31,0,other external,15-17 yrs,11,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,15.528826713562012 +1987,31,0,internal,15-17 yrs,10,70836,16.01554298400879,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,14.11711597442627 +1987,31,0,all,18-20 yrs,65,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,95.22135162353516 +1987,31,0,MVA,18-20 yrs,34,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,49.8080940246582 +1987,31,0,suicide,18-20 yrs,8,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,11.719551086425781 +1987,31,0,homicide,18-20 yrs,5,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,7.324719429016113 +1987,31,0,other external,18-20 yrs,4,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,5.859775543212891 +1987,31,0,internal,18-20 yrs,14,68262,19.007076263427734,0,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,20.509214401245117 +1987,31,0,all,21-24 yrs,84,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,85.37626647949219 +1987,31,0,MVA,21-24 yrs,40,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,40.655364990234375 +1987,31,0,suicide,21-24 yrs,13,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,13.212993621826172 +1987,31,0,homicide,21-24 yrs,6,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,6.098304748535156 +1987,31,0,other external,21-24 yrs,6,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,6.098304748535156 +1987,31,0,internal,21-24 yrs,19,98388,22.557384490966797,1,0.20246478915214539,1.399999976158142,0.2199999988079071,0.6499999761581421,2.2699999809265137,19.311298370361328 +1988,31,0,MVA,15-17 yrs,25,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,36.295005798339844 +1988,31,0,suicide,15-17 yrs,14,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,20.32520294189453 +1988,31,0,homicide,15-17 yrs,3,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,4.355400562286377 +1988,31,0,other external,15-17 yrs,3,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,4.355400562286377 +1988,31,0,internal,15-17 yrs,12,68880,16.045717239379883,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,17.421602249145508 +1988,31,0,all,18-20 yrs,95,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,137.8049774169922 +1988,31,0,MVA,18-20 yrs,40,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,58.02315139770508 +1988,31,0,suicide,18-20 yrs,14,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,20.308103561401367 +1988,31,0,homicide,18-20 yrs,8,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,11.604630470275879 +1988,31,0,other external,18-20 yrs,15,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,21.758682250976562 +1988,31,0,internal,18-20 yrs,18,68938,18.99163055419922,0,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,26.11041831970215 +1988,31,0,all,21-24 yrs,81,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,87.03033447265625 +1988,31,0,MVA,21-24 yrs,22,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,23.637866973876953 +1988,31,0,suicide,21-24 yrs,11,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,11.818933486938477 +1988,31,0,homicide,21-24 yrs,5,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,5.3722429275512695 +1988,31,0,other external,21-24 yrs,17,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,18.265625 +1988,31,0,internal,21-24 yrs,26,93071,22.558895111083984,1,0.1944209635257721,1.3700000047683716,0.2199999988079071,0.6499999761581421,2.2300000190734863,27.93566131591797 +1989,31,0,MVA,15-17 yrs,18,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,27.201427459716797 +1989,31,0,suicide,15-17 yrs,8,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,12.089523315429688 +1989,31,0,homicide,15-17 yrs,1,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,1.511190414428711 +1989,31,0,other external,15-17 yrs,4,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,6.044761657714844 +1989,31,0,internal,15-17 yrs,14,66173,16.02251625061035,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,21.156665802001953 +1989,31,0,all,18-20 yrs,63,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,89.23259735107422 +1989,31,0,MVA,18-20 yrs,32,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,45.324493408203125 +1989,31,0,suicide,18-20 yrs,11,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,15.58029556274414 +1989,31,0,homicide,18-20 yrs,4,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,5.665561676025391 +1989,31,0,other external,18-20 yrs,5,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,7.0819525718688965 +1989,31,0,internal,18-20 yrs,11,70602,18.98753547668457,0,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,15.58029556274414 +1989,31,0,all,21-24 yrs,86,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,97.887451171875 +1989,31,0,MVA,21-24 yrs,32,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,36.42323684692383 +1989,31,0,suicide,21-24 yrs,13,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,14.796940803527832 +1989,31,0,homicide,21-24 yrs,5,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,5.691131114959717 +1989,31,0,other external,21-24 yrs,11,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,12.520487785339355 +1989,31,0,internal,21-24 yrs,25,87856,22.535114288330078,1,0.1854838728904724,1.3700000047683716,0.1899999976158142,0.6200000047683716,2.180000066757202,28.45565414428711 +1990,31,0,MVA,15-17 yrs,23,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,34.89130783081055 +1990,31,0,suicide,15-17 yrs,12,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,18.204158782958984 +1990,31,0,homicide,15-17 yrs,3,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,4.551039695739746 +1990,31,0,other external,15-17 yrs,4,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,6.068053245544434 +1990,31,0,internal,15-17 yrs,10,65919,15.992703437805176,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,15.170132637023926 +1990,31,0,all,18-20 yrs,75,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,105.61148834228516 +1990,31,0,MVA,18-20 yrs,24,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,33.795677185058594 +1990,31,0,suicide,18-20 yrs,24,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,33.795677185058594 +1990,31,0,homicide,18-20 yrs,2,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,2.8163063526153564 +1990,31,0,other external,18-20 yrs,10,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,14.08153247833252 +1990,31,0,internal,18-20 yrs,15,71015,19.01915168762207,0,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,21.122297286987305 +1990,31,0,all,21-24 yrs,88,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,102.95287322998047 +1990,31,0,MVA,21-24 yrs,35,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,40.947166442871094 +1990,31,0,suicide,21-24 yrs,14,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,16.37886619567871 +1990,31,0,homicide,21-24 yrs,5,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,5.849595069885254 +1990,31,0,other external,21-24 yrs,7,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,8.189433097839355 +1990,31,0,internal,21-24 yrs,27,85476,22.496841430664062,1,0.1759755164384842,1.409999966621399,0.20000000298023224,0.6399999856948853,2.25,31.587814331054688 +1991,31,0,MVA,15-17 yrs,18,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,26.8364315032959 +1991,31,0,suicide,15-17 yrs,7,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,10.436389923095703 +1991,31,0,homicide,15-17 yrs,3,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,4.472738742828369 +1991,31,0,other external,15-17 yrs,6,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,8.945477485656738 +1991,31,0,internal,15-17 yrs,10,67073,15.997197151184082,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,14.90912914276123 +1991,31,0,all,18-20 yrs,76,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,109.09038543701172 +1991,31,0,MVA,18-20 yrs,33,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,47.368194580078125 +1991,31,0,suicide,18-20 yrs,16,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,22.966398239135742 +1991,31,0,homicide,18-20 yrs,4,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,5.7415995597839355 +1991,31,0,other external,18-20 yrs,10,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,14.353998184204102 +1991,31,0,internal,18-20 yrs,13,69667,19.039989471435547,0,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,18.660198211669922 +1991,31,0,all,21-24 yrs,82,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,95.30229187011719 +1991,31,0,MVA,21-24 yrs,29,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,33.704471588134766 +1991,31,0,suicide,21-24 yrs,11,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,12.784454345703125 +1991,31,0,homicide,21-24 yrs,8,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,9.297784805297852 +1991,31,0,other external,21-24 yrs,11,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,12.784454345703125 +1991,31,0,internal,21-24 yrs,23,86042,22.460159301757812,1,0.16886931657791138,1.399999976158142,0.18000000715255737,0.6100000143051147,2.190000057220459,26.731130599975586 +1992,31,0,MVA,15-17 yrs,23,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,33.32270812988281 +1992,31,0,suicide,15-17 yrs,4,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,5.795253753662109 +1992,31,0,homicide,15-17 yrs,2,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,2.8976268768310547 +1992,31,0,other external,15-17 yrs,6,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,8.692880630493164 +1992,31,0,internal,15-17 yrs,8,69022,16.00139045715332,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,11.590507507324219 +1992,31,0,all,18-20 yrs,70,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,102.51303100585938 +1992,31,0,MVA,18-20 yrs,27,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,39.540740966796875 +1992,31,0,suicide,18-20 yrs,9,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,13.18024730682373 +1992,31,0,homicide,18-20 yrs,5,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,7.322359561920166 +1992,31,0,other external,18-20 yrs,8,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,11.715775489807129 +1992,31,0,internal,18-20 yrs,21,68284,19.0241641998291,0,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,30.753910064697266 +1992,31,0,all,21-24 yrs,78,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,88.5397720336914 +1992,31,0,MVA,21-24 yrs,27,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,30.64838409423828 +1992,31,0,suicide,21-24 yrs,16,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,18.162004470825195 +1992,31,0,homicide,21-24 yrs,6,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,6.810751914978027 +1992,31,0,other external,21-24 yrs,9,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,10.216127395629883 +1992,31,0,internal,21-24 yrs,20,88096,22.43721580505371,1,0.16393442451953888,1.3700000047683716,0.18000000715255737,0.6100000143051147,2.1600000858306885,22.70250701904297 +1993,31,0,MVA,15-17 yrs,19,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,26.936599731445312 +1993,31,0,suicide,15-17 yrs,4,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,5.670863151550293 +1993,31,0,homicide,15-17 yrs,2,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,2.8354315757751465 +1993,31,0,other external,15-17 yrs,7,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,9.924010276794434 +1993,31,0,internal,15-17 yrs,14,70536,15.99217414855957,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,19.848020553588867 +1993,31,0,all,18-20 yrs,56,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,81.5150146484375 +1993,31,0,MVA,18-20 yrs,25,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,36.39063262939453 +1993,31,0,suicide,18-20 yrs,8,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,11.645002365112305 +1993,31,0,homicide,18-20 yrs,5,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,7.278126239776611 +1993,31,0,other external,18-20 yrs,9,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,13.100626945495605 +1993,31,0,internal,18-20 yrs,9,68699,18.99492073059082,0,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,13.100626945495605 +1993,31,0,all,21-24 yrs,90,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,100.99876403808594 +1993,31,0,MVA,21-24 yrs,31,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,34.7884635925293 +1993,31,0,suicide,21-24 yrs,16,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,17.95533561706543 +1993,31,0,homicide,21-24 yrs,8,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,8.977667808532715 +1993,31,0,other external,21-24 yrs,10,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,11.222084999084473 +1993,31,0,internal,21-24 yrs,25,89110,22.466501235961914,1,0.15916955471038818,1.3700000047683716,0.18000000715255737,0.5899999737739563,2.140000104904175,28.055212020874023 +1994,31,0,MVA,15-17 yrs,31,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,42.429718017578125 +1994,31,0,suicide,15-17 yrs,10,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,13.687005996704102 +1994,31,0,homicide,15-17 yrs,4,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.474802017211914 +1994,31,0,other external,15-17 yrs,4,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.474802017211914 +1994,31,0,internal,15-17 yrs,8,73062,15.995305061340332,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,10.949604034423828 +1994,31,0,all,18-20 yrs,62,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,88.81376647949219 +1994,31,0,MVA,18-20 yrs,29,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,41.54191970825195 +1994,31,0,suicide,18-20 yrs,10,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,14.324800491333008 +1994,31,0,homicide,18-20 yrs,4,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,5.729920387268066 +1994,31,0,other external,18-20 yrs,10,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,14.324800491333008 +1994,31,0,internal,18-20 yrs,9,69809,18.999526977539062,0,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,12.89232063293457 +1994,31,0,all,21-24 yrs,74,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,83.30987548828125 +1994,31,0,MVA,21-24 yrs,28,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,31.52265739440918 +1994,31,0,suicide,21-24 yrs,11,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,12.38390064239502 +1994,31,0,homicide,21-24 yrs,8,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,9.006473541259766 +1994,31,0,other external,21-24 yrs,10,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,11.258091926574707 +1994,31,0,internal,21-24 yrs,17,88825,22.506084442138672,1,0.1551956832408905,1.3899999856948853,0.18000000715255737,0.5699999928474426,2.140000104904175,19.138755798339844 +1995,31,0,MVA,15-17 yrs,25,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,32.853668212890625 +1995,31,0,suicide,15-17 yrs,9,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,11.82732105255127 +1995,31,0,homicide,15-17 yrs,4,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,5.256587028503418 +1995,31,0,other external,15-17 yrs,8,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,10.513174057006836 +1995,31,0,internal,15-17 yrs,14,76095,15.982547760009766,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,18.398054122924805 +1995,31,0,all,18-20 yrs,64,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,88.67950439453125 +1995,31,0,MVA,18-20 yrs,26,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,36.02605056762695 +1995,31,0,suicide,18-20 yrs,10,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,13.856172561645508 +1995,31,0,homicide,18-20 yrs,11,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,15.241789817810059 +1995,31,0,other external,18-20 yrs,5,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,6.928086280822754 +1995,31,0,internal,18-20 yrs,12,72170,19.0002498626709,0,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,16.62740707397461 +1995,31,0,all,21-24 yrs,82,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,93.18605041503906 +1995,31,0,MVA,21-24 yrs,32,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,36.36528778076172 +1995,31,0,suicide,21-24 yrs,12,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,13.636983871459961 +1995,31,0,homicide,21-24 yrs,5,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,5.682076454162598 +1995,31,0,other external,21-24 yrs,6,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,6.8184919357299805 +1995,31,0,internal,21-24 yrs,27,87996,22.510910034179688,1,0.150918647646904,1.350000023841858,0.1899999976158142,0.5699999928474426,2.0999999046325684,30.683212280273438 +1996,31,0,MVA,15-17 yrs,26,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,32.953521728515625 +1996,31,0,suicide,15-17 yrs,10,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,12.674431800842285 +1996,31,0,homicide,15-17 yrs,4,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,5.069772720336914 +1996,31,0,other external,15-17 yrs,4,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,5.069772720336914 +1996,31,0,internal,15-17 yrs,14,78899,15.99178695678711,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,17.744205474853516 +1996,31,0,all,18-20 yrs,53,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,71.8361587524414 +1996,31,0,MVA,18-20 yrs,16,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,21.68638801574707 +1996,31,0,suicide,18-20 yrs,13,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,17.620189666748047 +1996,31,0,homicide,18-20 yrs,5,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,6.77699613571167 +1996,31,0,other external,18-20 yrs,5,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,6.77699613571167 +1996,31,0,internal,18-20 yrs,14,73779,18.992015838623047,0,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,18.975589752197266 +1996,31,0,all,21-24 yrs,72,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,82.17395782470703 +1996,31,0,MVA,21-24 yrs,20,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,22.826099395751953 +1996,31,0,suicide,21-24 yrs,16,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,18.260879516601562 +1996,31,0,homicide,21-24 yrs,10,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,11.413049697875977 +1996,31,0,other external,21-24 yrs,4,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,4.565219879150391 +1996,31,0,internal,21-24 yrs,22,87619,22.470172882080078,1,0.1465901881456375,1.350000023841858,0.18000000715255737,0.5699999928474426,2.109999895095825,25.10870933532715 +1970,32,0,MVA,15-17 yrs,23,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,88.109100341796875 +1970,32,0,suicide,15-17 yrs,2,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,7.661661148071289 +1970,32,0,homicide,15-17 yrs,3,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,11.492491722106934 +1970,32,0,other external,15-17 yrs,10,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,38.30830383300781 +1970,32,0,internal,15-17 yrs,7,26104,15.963492393493652,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,26.815813064575195 +1970,32,0,all,18-20 yrs,58,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,269.5918884277344 +1970,32,0,MVA,18-20 yrs,31,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,144.09222412109375 +1970,32,0,suicide,18-20 yrs,3,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,13.944408416748047 +1970,32,0,homicide,18-20 yrs,6,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,27.888816833496094 +1970,32,0,other external,18-20 yrs,9,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,41.83322525024414 +1970,32,0,internal,18-20 yrs,9,21514,19.006275177001953,0,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,41.83322525024414 +1970,32,0,all,21-24 yrs,63,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,198.9075927734375 +1970,32,0,MVA,21-24 yrs,29,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,91.560638427734375 +1970,32,0,suicide,21-24 yrs,8,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,25.258106231689453 +1970,32,0,homicide,21-24 yrs,4,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,12.629053115844727 +1970,32,0,other external,21-24 yrs,15,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,47.35894775390625 +1970,32,0,internal,21-24 yrs,7,31673,22.457929611206055,1,0.15463916957378387,1.7300000190734863,0.6700000166893005,3.180000066757202,5.579999923706055,22.10084342956543 +1971,32,0,MVA,15-17 yrs,24,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,83.877960205078125 +1971,32,0,suicide,15-17 yrs,2,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,6.989830017089844 +1971,32,0,homicide,15-17 yrs,7,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.464405059814453 +1971,32,0,other external,15-17 yrs,5,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,17.47457504272461 +1971,32,0,internal,15-17 yrs,7,28613,15.98189640045166,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.464405059814453 +1971,32,0,all,18-20 yrs,62,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,255.97621154785156 +1971,32,0,MVA,18-20 yrs,28,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,115.60216522216797 +1971,32,0,suicide,18-20 yrs,6,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,24.771892547607422 +1971,32,0,homicide,18-20 yrs,2,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,8.25729751586914 +1971,32,0,other external,18-20 yrs,17,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,70.18702697753906 +1971,32,0,internal,18-20 yrs,9,24221,18.998018264770508,0,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,37.1578369140625 +1971,32,0,all,21-24 yrs,66,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,196.89149475097656 +1971,32,0,MVA,21-24 yrs,34,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,101.428955078125 +1971,32,0,suicide,21-24 yrs,7,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,20.882431030273438 +1971,32,0,homicide,21-24 yrs,7,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,20.882431030273438 +1971,32,0,other external,21-24 yrs,10,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,29.832046508789062 +1971,32,0,internal,21-24 yrs,8,33521,22.606813430786133,1,0.14814814925193787,1.7400000095367432,0.7200000286102295,3.2300000190734863,5.690000057220459,23.865636825561523 +1972,32,0,MVA,15-17 yrs,18,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,58.80815505981445 +1972,32,0,suicide,15-17 yrs,6,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,19.602718353271484 +1972,32,0,homicide,15-17 yrs,4,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,13.06847858428955 +1972,32,0,other external,15-17 yrs,16,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,52.2739143371582 +1972,32,0,internal,15-17 yrs,12,30608,15.973960876464844,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,39.20543670654297 +1972,32,0,all,18-20 yrs,80,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,294.1068420410156 +1972,32,0,MVA,18-20 yrs,46,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,169.11143493652344 +1972,32,0,suicide,18-20 yrs,10,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,36.76335525512695 +1972,32,0,homicide,18-20 yrs,4,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,14.705341339111328 +1972,32,0,other external,18-20 yrs,8,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.410682678222656 +1972,32,0,internal,18-20 yrs,12,27201,19.009889602661133,0,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,44.116024017333984 +1972,32,0,all,21-24 yrs,76,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,224.59292602539062 +1972,32,0,MVA,21-24 yrs,36,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,106.38612365722656 +1972,32,0,suicide,21-24 yrs,12,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,35.462039947509766 +1972,32,0,homicide,21-24 yrs,8,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,23.641361236572266 +1972,32,0,other external,21-24 yrs,10,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.551700592041016 +1972,32,0,internal,21-24 yrs,10,33839,22.53875732421875,1,0.1435406655073166,1.809999942779541,0.7300000190734863,3.4100000858306885,5.949999809265137,29.551700592041016 +1973,32,0,MVA,15-17 yrs,23,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,70.80408477783203 +1973,32,0,suicide,15-17 yrs,4,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,12.313754081726074 +1973,32,0,homicide,15-17 yrs,4,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,12.313754081726074 +1973,32,0,other external,15-17 yrs,6,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,18.470632553100586 +1973,32,0,internal,15-17 yrs,6,32484,15.978851318359375,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,18.470632553100586 +1973,32,0,all,18-20 yrs,75,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,259.75823974609375 +1973,32,0,MVA,18-20 yrs,39,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,135.0742950439453 +1973,32,0,suicide,18-20 yrs,5,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,17.317216873168945 +1973,32,0,homicide,18-20 yrs,7,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,24.244104385375977 +1973,32,0,other external,18-20 yrs,16,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,55.41509246826172 +1973,32,0,internal,18-20 yrs,8,28873,19.017074584960938,0,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,27.70754623413086 +1973,32,0,all,21-24 yrs,75,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,217.59312438964844 +1973,32,0,MVA,21-24 yrs,35,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,101.54345703125 +1973,32,0,suicide,21-24 yrs,7,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,20.308692932128906 +1973,32,0,homicide,21-24 yrs,5,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,14.506208419799805 +1973,32,0,other external,21-24 yrs,14,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,40.61738586425781 +1973,32,0,internal,21-24 yrs,14,34468,22.476152420043945,1,0.13513512909412384,1.9199999570846558,0.7799999713897705,3.6600000858306885,6.360000133514404,40.61738586425781 +1974,32,0,MVA,15-17 yrs,13,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,37.649513244628906 +1974,32,0,suicide,15-17 yrs,4,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,11.584465026855469 +1974,32,0,homicide,15-17 yrs,3,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,8.688348770141602 +1974,32,0,other external,15-17 yrs,10,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,28.961162567138672 +1974,32,0,internal,15-17 yrs,6,34529,15.998580932617188,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,17.376697540283203 +1974,32,0,all,18-20 yrs,78,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,251.64537048339844 +1974,32,0,MVA,18-20 yrs,27,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,87.10801696777344 +1974,32,0,suicide,18-20 yrs,9,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,29.0360050201416 +1974,32,0,homicide,18-20 yrs,14,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,45.167118072509766 +1974,32,0,other external,18-20 yrs,13,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,41.940895080566406 +1974,32,0,internal,18-20 yrs,15,30996,19.029682159423828,0,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,48.393341064453125 +1974,32,0,all,21-24 yrs,85,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,229.19082641601562 +1974,32,0,MVA,21-24 yrs,33,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,88.97996520996094 +1974,32,0,suicide,21-24 yrs,15,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,40.445438385009766 +1974,32,0,homicide,21-24 yrs,12,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,32.35634994506836 +1974,32,0,other external,21-24 yrs,12,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,32.35634994506836 +1974,32,0,internal,21-24 yrs,13,37087,22.43047523498535,1,0.1217038556933403,1.9900000095367432,0.8100000023841858,3.690000057220459,6.489999771118164,35.05271530151367 +1975,32,0,MVA,15-17 yrs,18,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,50.857513427734375 +1975,32,0,suicide,15-17 yrs,0,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,0 +1975,32,0,homicide,15-17 yrs,2,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,5.650835037231445 +1975,32,0,other external,15-17 yrs,6,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,16.952505111694336 +1975,32,0,internal,15-17 yrs,7,35393,16.0012149810791,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,19.777921676635742 +1975,32,0,all,18-20 yrs,56,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,170.71609497070312 +1975,32,0,MVA,18-20 yrs,31,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,94.50355529785156 +1975,32,0,suicide,18-20 yrs,7,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,21.33951187133789 +1975,32,0,homicide,18-20 yrs,3,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,9.14550495147705 +1975,32,0,other external,18-20 yrs,8,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,24.38801383972168 +1975,32,0,internal,18-20 yrs,7,32803,19.022375106811523,0,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,21.33951187133789 +1975,32,0,all,21-24 yrs,103,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,251.1276397705078 +1975,32,0,MVA,21-24 yrs,36,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,87.77276611328125 +1975,32,0,suicide,21-24 yrs,18,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,43.886383056640625 +1975,32,0,homicide,21-24 yrs,7,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,17.066926956176758 +1975,32,0,other external,21-24 yrs,21,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,51.20077896118164 +1975,32,0,internal,21-24 yrs,21,41015,22.43754768371582,1,0.11152416467666626,2,0.8299999833106995,3.940000057220459,6.769999980926514,51.20077896118164 +1976,32,0,MVA,15-17 yrs,17,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,46.111698150634766 +1976,32,0,suicide,15-17 yrs,7,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,18.98716926574707 +1976,32,0,homicide,15-17 yrs,1,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,2.7124528884887695 +1976,32,0,other external,15-17 yrs,9,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,24.41207504272461 +1976,32,0,internal,15-17 yrs,4,36867,15.989285469055176,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,10.849811553955078 +1976,32,0,all,18-20 yrs,81,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,232.35133361816406 +1976,32,0,MVA,18-20 yrs,33,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,94.66165924072266 +1976,32,0,suicide,18-20 yrs,12,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,34.422420501708984 +1976,32,0,homicide,18-20 yrs,12,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,34.422420501708984 +1976,32,0,other external,18-20 yrs,14,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,40.159488677978516 +1976,32,0,internal,18-20 yrs,10,34861,19.03095054626465,0,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,28.68535041809082 +1976,32,0,all,21-24 yrs,83,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,183.27149963378906 +1976,32,0,MVA,21-24 yrs,29,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,64.03462219238281 +1976,32,0,suicide,21-24 yrs,19,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,41.95372009277344 +1976,32,0,homicide,21-24 yrs,7,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,15.456633567810059 +1976,32,0,other external,21-24 yrs,14,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,30.913267135620117 +1976,32,0,internal,21-24 yrs,14,45288,22.46800422668457,1,0.1054481491446495,2.049999952316284,0.8600000143051147,4.010000228881836,6.920000076293945,30.913267135620117 +1977,32,0,MVA,15-17 yrs,27,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,70.36747741699219 +1977,32,0,suicide,15-17 yrs,6,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,15.637216567993164 +1977,32,0,homicide,15-17 yrs,2,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,5.212405681610107 +1977,32,0,other external,15-17 yrs,11,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,28.668230056762695 +1977,32,0,internal,15-17 yrs,6,38370,15.995908737182617,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,15.637216567993164 +1977,32,0,all,18-20 yrs,85,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,230.72120666503906 +1977,32,0,MVA,18-20 yrs,36,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,97.71721649169922 +1977,32,0,suicide,18-20 yrs,14,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,38.00114059448242 +1977,32,0,homicide,18-20 yrs,7,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,19.00057029724121 +1977,32,0,other external,18-20 yrs,16,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,43.429874420166016 +1977,32,0,internal,18-20 yrs,12,36841,19.05379867553711,0,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,32.57240676879883 +1977,32,0,all,21-24 yrs,101,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,203.60850524902344 +1977,32,0,MVA,21-24 yrs,32,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,64.50962829589844 +1977,32,0,suicide,21-24 yrs,27,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,54.429996490478516 +1977,32,0,homicide,21-24 yrs,16,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,32.25481414794922 +1977,32,0,other external,21-24 yrs,12,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,24.191110610961914 +1977,32,0,internal,21-24 yrs,14,49605,22.491905212402344,1,0.09900990128517151,2.1500000953674316,0.8299999833106995,3.8499999046325684,6.840000152587891,28.22296142578125 +1978,32,0,MVA,15-17 yrs,30,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,74.72724914550781 +1978,32,0,suicide,15-17 yrs,3,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,7.472724437713623 +1978,32,0,homicide,15-17 yrs,3,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,7.472724437713623 +1978,32,0,other external,15-17 yrs,8,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,19.927265167236328 +1978,32,0,internal,15-17 yrs,8,40146,16.014671325683594,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,19.927265167236328 +1978,32,0,all,18-20 yrs,72,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,186.9547119140625 +1978,32,0,MVA,18-20 yrs,37,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,96.0739517211914 +1978,32,0,suicide,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,homicide,18-20 yrs,8,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,20.772747039794922 +1978,32,0,other external,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,internal,18-20 yrs,9,38512,19.057903289794922,0,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.369338989257812 +1978,32,0,all,21-24 yrs,128,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,235.11691284179688 +1978,32,0,MVA,21-24 yrs,60,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,110.21105194091797 +1978,32,0,suicide,21-24 yrs,18,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,33.063316345214844 +1978,32,0,homicide,21-24 yrs,13,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,23.87906265258789 +1978,32,0,other external,21-24 yrs,27,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,49.594974517822266 +1978,32,0,internal,21-24 yrs,10,54441,22.50298500061035,1,0.0920245423913002,2.200000047683716,0.8500000238418579,3.6500000953674316,6.690000057220459,18.36850929260254 +1979,32,0,MVA,15-17 yrs,36,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,86.73236083984375 +1979,32,0,suicide,15-17 yrs,5,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,12.046160697937012 +1979,32,0,homicide,15-17 yrs,1,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,2.4092321395874023 +1979,32,0,other external,15-17 yrs,8,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,19.27385711669922 +1979,32,0,internal,15-17 yrs,9,41507,16.01512908935547,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,21.683090209960938 +1979,32,0,all,18-20 yrs,93,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,228.03619384765625 +1979,32,0,MVA,18-20 yrs,43,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,105.43608856201172 +1979,32,0,suicide,18-20 yrs,14,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,34.32802963256836 +1979,32,0,homicide,18-20 yrs,18,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,44.13603591918945 +1979,32,0,other external,18-20 yrs,10,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,24.520021438598633 +1979,32,0,internal,18-20 yrs,8,40783,19.047569274902344,0,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,19.616016387939453 +1979,32,0,all,21-24 yrs,139,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,234.68629455566406 +1979,32,0,MVA,21-24 yrs,81,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,136.7596435546875 +1979,32,0,suicide,21-24 yrs,19,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,32.07942199707031 +1979,32,0,homicide,21-24 yrs,12,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,20.26068687438965 +1979,32,0,other external,21-24 yrs,15,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,25.32585906982422 +1979,32,0,internal,21-24 yrs,12,59228,22.50945472717285,1,0.08264462649822235,2.2799999713897705,0.8799999952316284,3.2799999713897705,6.440000057220459,20.26068687438965 +1980,32,0,MVA,15-17 yrs,26,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,61.465721130371094 +1980,32,0,suicide,15-17 yrs,5,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,11.820330619812012 +1980,32,0,homicide,15-17 yrs,6,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,14.184396743774414 +1980,32,0,other external,15-17 yrs,9,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,21.276596069335938 +1980,32,0,internal,15-17 yrs,7,42300,16.020519256591797,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,16.548463821411133 +1980,32,0,all,18-20 yrs,94,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,218.33554077148438 +1980,32,0,MVA,18-20 yrs,46,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,106.84505462646484 +1980,32,0,suicide,18-20 yrs,8,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,18.581748962402344 +1980,32,0,homicide,18-20 yrs,7,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,16.259029388427734 +1980,32,0,other external,18-20 yrs,21,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,48.7770881652832 +1980,32,0,internal,18-20 yrs,12,43053,19.024017333984375,0,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,27.872621536254883 +1980,32,0,all,21-24 yrs,151,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,239.7320098876953 +1980,32,0,MVA,21-24 yrs,49,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,77.79383087158203 +1980,32,0,suicide,21-24 yrs,30,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,47.628875732421875 +1980,32,0,homicide,21-24 yrs,24,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,38.10309982299805 +1980,32,0,other external,21-24 yrs,28,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,44.453617095947266 +1980,32,0,internal,21-24 yrs,20,62987,22.535158157348633,1,0.07281553000211716,2.0899999141693115,0.7900000214576721,2.940000057220459,5.820000171661377,31.75258445739746 +1981,32,0,MVA,15-17 yrs,18,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,42.81840133666992 +1981,32,0,suicide,15-17 yrs,5,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,11.894001007080078 +1981,32,0,homicide,15-17 yrs,5,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,11.894001007080078 +1981,32,0,other external,15-17 yrs,8,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,19.0304012298584 +1981,32,0,internal,15-17 yrs,10,42038,16.03106689453125,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,23.788002014160156 +1981,32,0,all,18-20 yrs,89,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,200.54981994628906 +1981,32,0,MVA,18-20 yrs,38,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,85.62801361083984 +1981,32,0,suicide,18-20 yrs,11,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,24.78705596923828 +1981,32,0,homicide,18-20 yrs,12,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,27.04042625427246 +1981,32,0,other external,18-20 yrs,16,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,36.05390167236328 +1981,32,0,internal,18-20 yrs,12,44378,19.005407333374023,0,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,27.04042625427246 +1981,32,0,all,21-24 yrs,132,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,207.20834350585938 +1981,32,0,MVA,21-24 yrs,48,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,75.3484878540039 +1981,32,0,suicide,21-24 yrs,33,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,51.802085876464844 +1981,32,0,homicide,21-24 yrs,19,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,29.825443267822266 +1981,32,0,other external,21-24 yrs,17,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,26.685922622680664 +1981,32,0,internal,21-24 yrs,15,63704,22.561832427978516,1,0.066006600856781,2.0799999237060547,0.800000011920929,2.7100000381469727,5.590000152587891,23.546401977539062 +1982,32,0,MVA,15-17 yrs,13,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,31.45414924621582 +1982,32,0,suicide,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,homicide,15-17 yrs,3,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,7.258649826049805 +1982,32,0,other external,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,internal,15-17 yrs,8,41330,16.020275115966797,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.356399536132812 +1982,32,0,all,18-20 yrs,83,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,183.4700164794922 +1982,32,0,MVA,18-20 yrs,44,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,97.26121520996094 +1982,32,0,suicide,18-20 yrs,9,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,19.894338607788086 +1982,32,0,homicide,18-20 yrs,11,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,24.315303802490234 +1982,32,0,other external,18-20 yrs,8,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,17.683856964111328 +1982,32,0,internal,18-20 yrs,11,45239,19.006343841552734,0,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,24.315303802490234 +1982,32,0,all,21-24 yrs,163,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,257.1626892089844 +1982,32,0,MVA,21-24 yrs,54,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,85.19499969482422 +1982,32,0,suicide,21-24 yrs,32,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,50.48592758178711 +1982,32,0,homicide,21-24 yrs,13,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,20.50990867614746 +1982,32,0,other external,21-24 yrs,42,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,66.26277923583984 +1982,32,0,internal,21-24 yrs,22,63384,22.553421020507812,1,0.062176164239645004,1.9900000095367432,0.7699999809265137,2.5,5.25,34.709075927734375 +1983,32,0,MVA,15-17 yrs,13,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,32.34635543823242 +1983,32,0,suicide,15-17 yrs,2,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,4.976362228393555 +1983,32,0,homicide,15-17 yrs,2,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,4.976362228393555 +1983,32,0,other external,15-17 yrs,6,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,14.929086685180664 +1983,32,0,internal,15-17 yrs,4,40190,16.012042999267578,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,9.95272445678711 +1983,32,0,all,18-20 yrs,74,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,163.8582000732422 +1983,32,0,MVA,18-20 yrs,34,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,75.28620147705078 +1983,32,0,suicide,18-20 yrs,16,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,35.42879867553711 +1983,32,0,homicide,18-20 yrs,10,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,22.14299964904785 +1983,32,0,other external,18-20 yrs,7,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.500099182128906 +1983,32,0,internal,18-20 yrs,7,45161,19.04169464111328,0,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.500099182128906 +1983,32,0,all,21-24 yrs,93,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,148.55043029785156 +1983,32,0,MVA,21-24 yrs,37,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,59.100711822509766 +1983,32,0,suicide,21-24 yrs,14,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,22.362430572509766 +1983,32,0,homicide,21-24 yrs,13,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,20.765113830566406 +1983,32,0,other external,21-24 yrs,19,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,30.349014282226562 +1983,32,0,internal,21-24 yrs,10,62605,22.538408279418945,1,0.09036145359277725,1.9800000190734863,0.7900000214576721,2.450000047683716,5.21999979019165,15.973165512084961 +1984,32,0,MVA,15-17 yrs,14,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,35.17145919799805 +1984,32,0,suicide,15-17 yrs,7,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,17.585729598999023 +1984,32,0,homicide,15-17 yrs,2,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,5.024494647979736 +1984,32,0,other external,15-17 yrs,6,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,15.07348346710205 +1984,32,0,internal,15-17 yrs,4,39805,16.0019588470459,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,10.048989295959473 +1984,32,0,all,18-20 yrs,65,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,148.92886352539062 +1984,32,0,MVA,18-20 yrs,36,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,82.483673095703125 +1984,32,0,suicide,18-20 yrs,6,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,13.747279167175293 +1984,32,0,homicide,18-20 yrs,6,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,13.747279167175293 +1984,32,0,other external,18-20 yrs,10,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,22.912132263183594 +1984,32,0,internal,18-20 yrs,7,43645,19.054691314697266,0,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,16.03849220275879 +1984,32,0,all,21-24 yrs,125,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,196.5316162109375 +1984,32,0,MVA,21-24 yrs,38,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,59.745609283447266 +1984,32,0,suicide,21-24 yrs,28,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,44.02307891845703 +1984,32,0,homicide,21-24 yrs,15,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,23.58379364013672 +1984,32,0,other external,21-24 yrs,22,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,34.58956527709961 +1984,32,0,internal,21-24 yrs,22,63603,22.512475967407227,1,0.08662175387144089,2.009999990463257,0.8199999928474426,2.359999895095825,5.190000057220459,34.58956527709961 +1985,32,0,MVA,15-17 yrs,15,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,37.03886795043945 +1985,32,0,suicide,15-17 yrs,2,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,4.938515663146973 +1985,32,0,homicide,15-17 yrs,1,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,2.4692578315734863 +1985,32,0,other external,15-17 yrs,4,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,9.877031326293945 +1985,32,0,internal,15-17 yrs,6,40498,15.983579635620117,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.815546035766602 +1985,32,0,all,18-20 yrs,57,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,135.2281036376953 +1985,32,0,MVA,18-20 yrs,23,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,54.56572723388672 +1985,32,0,suicide,18-20 yrs,14,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,33.21392059326172 +1985,32,0,homicide,18-20 yrs,6,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.234538078308105 +1985,32,0,other external,18-20 yrs,8,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,18.97938346862793 +1985,32,0,internal,18-20 yrs,6,42151,19.04899024963379,0,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,14.234538078308105 +1985,32,0,all,21-24 yrs,131,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,200.7386016845703 +1985,32,0,MVA,21-24 yrs,45,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,68.95600891113281 +1985,32,0,suicide,21-24 yrs,30,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,45.970672607421875 +1985,32,0,homicide,21-24 yrs,14,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,21.452980041503906 +1985,32,0,other external,21-24 yrs,24,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,36.77653503417969 +1985,32,0,internal,21-24 yrs,18,65259,22.507822036743164,1,0.0836431235074997,1.9600000381469727,0.8399999737739563,2.180000066757202,4.989999771118164,27.5824031829834 +1986,32,0,MVA,15-17 yrs,14,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,33.451210021972656 +1986,32,0,suicide,15-17 yrs,5,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,11.946860313415527 +1986,32,0,homicide,15-17 yrs,1,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,2.3893721103668213 +1986,32,0,other external,15-17 yrs,5,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,11.946860313415527 +1986,32,0,internal,15-17 yrs,8,41852,15.98867416381836,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,19.11497688293457 +1986,32,0,all,18-20 yrs,63,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,153.1468048095703 +1986,32,0,MVA,18-20 yrs,33,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,80.219757080078125 +1986,32,0,suicide,18-20 yrs,11,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,26.739917755126953 +1986,32,0,homicide,18-20 yrs,8,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,19.44721221923828 +1986,32,0,other external,18-20 yrs,6,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,14.585410118103027 +1986,32,0,internal,18-20 yrs,5,41137,19.044631958007812,0,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,12.154507637023926 +1986,32,0,all,21-24 yrs,108,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,161.894775390625 +1986,32,0,MVA,21-24 yrs,37,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,55.46394729614258 +1986,32,0,suicide,21-24 yrs,27,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,40.47369384765625 +1986,32,0,homicide,21-24 yrs,11,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,16.489282608032227 +1986,32,0,other external,21-24 yrs,14,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,20.986358642578125 +1986,32,0,internal,21-24 yrs,19,66710,22.5323486328125,1,0.08211679011583328,2.069999933242798,0.8799999952316284,2.109999895095825,5.050000190734863,28.481487274169922 +1987,32,0,MVA,15-17 yrs,18,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,42.16641616821289 +1987,32,0,suicide,15-17 yrs,11,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,25.76836585998535 +1987,32,0,homicide,15-17 yrs,3,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,7.027736186981201 +1987,32,0,other external,15-17 yrs,4,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,9.370314598083496 +1987,32,0,internal,15-17 yrs,7,42688,16.02923583984375,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,16.39805030822754 +1987,32,0,all,18-20 yrs,52,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,124.88592529296875 +1987,32,0,MVA,18-20 yrs,28,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,67.24626922607422 +1987,32,0,suicide,18-20 yrs,4,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,9.606609344482422 +1987,32,0,homicide,18-20 yrs,8,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,19.213218688964844 +1987,32,0,other external,18-20 yrs,6,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,14.409914016723633 +1987,32,0,internal,18-20 yrs,6,41638,19.030405044555664,0,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,14.409914016723633 +1987,32,0,all,21-24 yrs,79,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,115.25611877441406 +1987,32,0,MVA,21-24 yrs,34,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,49.60389709472656 +1987,32,0,suicide,21-24 yrs,24,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,35.0145149230957 +1987,32,0,homicide,21-24 yrs,4,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,5.835752964019775 +1987,32,0,other external,21-24 yrs,5,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,7.29469108581543 +1987,32,0,internal,21-24 yrs,12,68543,22.576980590820312,1,0.07922535389661789,2.049999952316284,0.8399999737739563,2.0899999141693115,4.989999771118164,17.50725746154785 +1988,32,0,MVA,15-17 yrs,12,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,28.07740020751953 +1988,32,0,suicide,15-17 yrs,8,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,18.7182674407959 +1988,32,0,homicide,15-17 yrs,6,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,14.038700103759766 +1988,32,0,other external,15-17 yrs,5,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.6989164352417 +1988,32,0,internal,15-17 yrs,5,42739,16.053932189941406,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.6989164352417 +1988,32,0,all,18-20 yrs,54,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,124.67100524902344 +1988,32,0,MVA,18-20 yrs,28,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,64.64422607421875 +1988,32,0,suicide,18-20 yrs,7,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,16.161056518554688 +1988,32,0,homicide,18-20 yrs,5,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,11.543611526489258 +1988,32,0,other external,18-20 yrs,6,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,13.852334022521973 +1988,32,0,internal,18-20 yrs,8,43314,19.008495330810547,0,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,18.469778060913086 +1988,32,0,all,21-24 yrs,119,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,172.25904846191406 +1988,32,0,MVA,21-24 yrs,46,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,66.58753204345703 +1988,32,0,suicide,21-24 yrs,23,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,33.293766021728516 +1988,32,0,homicide,21-24 yrs,15,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,21.71332550048828 +1988,32,0,other external,21-24 yrs,9,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,13.027996063232422 +1988,32,0,internal,21-24 yrs,26,69082,22.586143493652344,1,0.07607776671648026,2.130000114440918,0.7799999713897705,2,4.909999847412109,37.63643264770508 +1989,32,0,MVA,15-17 yrs,21,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,49.90257263183594 +1989,32,0,suicide,15-17 yrs,6,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,14.257877349853516 +1989,32,0,homicide,15-17 yrs,6,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,14.257877349853516 +1989,32,0,other external,15-17 yrs,3,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,7.128938674926758 +1989,32,0,internal,15-17 yrs,5,42082,16.039588928222656,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,11.881564140319824 +1989,32,0,all,18-20 yrs,67,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,144.1170196533203 +1989,32,0,MVA,18-20 yrs,29,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,62.379005432128906 +1989,32,0,suicide,18-20 yrs,14,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,30.114002227783203 +1989,32,0,homicide,18-20 yrs,9,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,19.35900115966797 +1989,32,0,other external,18-20 yrs,8,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,17.2080020904541 +1989,32,0,internal,18-20 yrs,7,46490,19.013593673706055,0,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,15.057001113891602 +1989,32,0,all,21-24 yrs,97,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,137.5710906982422 +1989,32,0,MVA,21-24 yrs,35,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,49.63905334472656 +1989,32,0,suicide,21-24 yrs,14,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,19.855621337890625 +1989,32,0,homicide,21-24 yrs,16,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,22.692138671875 +1989,32,0,other external,21-24 yrs,13,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,18.437362670898438 +1989,32,0,internal,21-24 yrs,19,70509,22.575925827026367,1,0.07258065044879913,2.180000066757202,0.7300000190734863,1.9199999570846558,4.829999923706055,26.946914672851562 +1990,32,0,MVA,15-17 yrs,23,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,50.771507263183594 +1990,32,0,suicide,15-17 yrs,5,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,11.037283897399902 +1990,32,0,homicide,15-17 yrs,6,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,13.24474048614502 +1990,32,0,other external,15-17 yrs,3,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,6.62237024307251 +1990,32,0,internal,15-17 yrs,4,45301,15.986953735351562,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,8.829827308654785 +1990,32,0,all,18-20 yrs,78,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,162.94129943847656 +1990,32,0,MVA,18-20 yrs,39,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,81.47064971923828 +1990,32,0,suicide,18-20 yrs,15,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,31.33486557006836 +1990,32,0,homicide,18-20 yrs,12,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,25.06789207458496 +1990,32,0,other external,18-20 yrs,4,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,8.355963706970215 +1990,32,0,internal,18-20 yrs,8,47870,19.044578552246094,0,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,16.71192741394043 +1990,32,0,all,21-24 yrs,102,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,143.62757873535156 +1990,32,0,MVA,21-24 yrs,48,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,67.589447021484375 +1990,32,0,suicide,21-24 yrs,19,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,26.75415802001953 +1990,32,0,homicide,21-24 yrs,16,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,22.529817581176758 +1990,32,0,other external,21-24 yrs,7,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,9.856795310974121 +1990,32,0,internal,21-24 yrs,12,71017,22.56072425842285,1,0.06885998696088791,2.1700000762939453,0.6899999976158142,1.9199999570846558,4.78000020980835,16.897361755371094 +1991,32,0,MVA,15-17 yrs,13,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,28.38551902770996 +1991,32,0,suicide,15-17 yrs,9,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,19.651514053344727 +1991,32,0,homicide,15-17 yrs,9,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,19.651514053344727 +1991,32,0,other external,15-17 yrs,3,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,6.550504207611084 +1991,32,0,internal,15-17 yrs,2,45798,15.994759559631348,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,4.367002964019775 +1991,32,0,all,18-20 yrs,69,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,141.2949981689453 +1991,32,0,MVA,18-20 yrs,25,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,51.19384002685547 +1991,32,0,suicide,18-20 yrs,13,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,26.62079620361328 +1991,32,0,homicide,18-20 yrs,18,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,36.85956573486328 +1991,32,0,other external,18-20 yrs,5,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,10.238767623901367 +1991,32,0,internal,18-20 yrs,8,48834,19.035959243774414,0,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,16.382028579711914 +1991,32,0,all,21-24 yrs,118,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,163.63661193847656 +1991,32,0,MVA,21-24 yrs,39,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,54.083290100097656 +1991,32,0,suicide,21-24 yrs,23,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,31.895273208618164 +1991,32,0,homicide,21-24 yrs,30,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,41.6025276184082 +1991,32,0,other external,21-24 yrs,11,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,15.254261016845703 +1991,32,0,internal,21-24 yrs,15,72111,22.548141479492188,1,0.06607929617166519,2.049999952316284,0.6299999952316284,1.6299999952316284,4.309999942779541,20.8012638092041 +1992,32,0,MVA,15-17 yrs,18,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,37.69081115722656 +1992,32,0,suicide,15-17 yrs,5,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,10.469669342041016 +1992,32,0,homicide,15-17 yrs,9,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,18.84540557861328 +1992,32,0,other external,15-17 yrs,6,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,12.563603401184082 +1992,32,0,internal,15-17 yrs,3,47757,15.984420776367188,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,6.281801700592041 +1992,32,0,all,18-20 yrs,62,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,127.86405181884766 +1992,32,0,MVA,18-20 yrs,19,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,39.18414306640625 +1992,32,0,suicide,18-20 yrs,11,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,22.685558319091797 +1992,32,0,homicide,18-20 yrs,18,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,37.121822357177734 +1992,32,0,other external,18-20 yrs,4,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,8.249293327331543 +1992,32,0,internal,18-20 yrs,10,48489,19.0327091217041,0,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,20.623233795166016 +1992,32,0,all,21-24 yrs,100,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,140.1247100830078 +1992,32,0,MVA,21-24 yrs,31,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,43.43865966796875 +1992,32,0,suicide,21-24 yrs,24,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,33.62993240356445 +1992,32,0,homicide,21-24 yrs,13,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,18.21621322631836 +1992,32,0,other external,21-24 yrs,9,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,12.611224174499512 +1992,32,0,internal,21-24 yrs,23,71365,22.538597106933594,1,0.06414825469255447,2.0199999809265137,0.6200000047683716,1.6100000143051147,4.25,32.22868347167969 +1993,32,0,MVA,15-17 yrs,15,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,29.833528518676758 +1993,32,0,suicide,15-17 yrs,3,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,5.966705799102783 +1993,32,0,homicide,15-17 yrs,8,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,15.911215782165527 +1993,32,0,other external,15-17 yrs,8,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,15.911215782165527 +1993,32,0,internal,15-17 yrs,4,50279,15.968018531799316,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,7.955607891082764 +1993,32,0,all,18-20 yrs,53,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,107.84632873535156 +1993,32,0,MVA,18-20 yrs,13,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,26.45287322998047 +1993,32,0,suicide,18-20 yrs,14,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,28.487709045410156 +1993,32,0,homicide,18-20 yrs,12,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,24.41803741455078 +1993,32,0,other external,18-20 yrs,4,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,8.139345169067383 +1993,32,0,internal,18-20 yrs,10,49144,19.025272369384766,0,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,20.348363876342773 +1993,32,0,all,21-24 yrs,129,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,182.45594787597656 +1993,32,0,MVA,21-24 yrs,33,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,46.674774169921875 +1993,32,0,suicide,21-24 yrs,36,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,50.917938232421875 +1993,32,0,homicide,21-24 yrs,22,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,31.116518020629883 +1993,32,0,other external,21-24 yrs,17,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,24.04458236694336 +1993,32,0,internal,21-24 yrs,21,70702,22.54575538635254,1,0.06228373944759369,1.9500000476837158,0.5799999833106995,1.5399999618530273,4.059999942779541,29.702129364013672 +1994,32,0,MVA,15-17 yrs,14,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,25.676294326782227 +1994,32,0,suicide,15-17 yrs,9,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,16.506189346313477 +1994,32,0,homicide,15-17 yrs,6,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,11.00412654876709 +1994,32,0,other external,15-17 yrs,7,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,12.838147163391113 +1994,32,0,internal,15-17 yrs,11,54525,15.969023704528809,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,20.174232482910156 +1994,32,0,all,18-20 yrs,85,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,166.48060607910156 +1994,32,0,MVA,18-20 yrs,23,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,45.047691345214844 +1994,32,0,suicide,18-20 yrs,17,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,33.296119689941406 +1994,32,0,homicide,18-20 yrs,23,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,45.047691345214844 +1994,32,0,other external,18-20 yrs,9,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,17.627357482910156 +1994,32,0,internal,18-20 yrs,13,51057,19.019996643066406,0,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,25.46173858642578 +1994,32,0,all,21-24 yrs,119,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,163.46827697753906 +1994,32,0,MVA,21-24 yrs,37,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,50.826271057128906 +1994,32,0,suicide,21-24 yrs,32,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,43.957855224609375 +1994,32,0,homicide,21-24 yrs,18,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,24.726293563842773 +1994,32,0,other external,21-24 yrs,13,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,17.857879638671875 +1994,32,0,internal,21-24 yrs,19,72797,22.54145050048828,1,0.06072874739766121,1.9299999475479126,0.5699999928474426,1.5099999904632568,4,26.099977493286133 +1995,32,0,MVA,15-17 yrs,13,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,22.188087463378906 +1995,32,0,suicide,15-17 yrs,16,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,27.308414459228516 +1995,32,0,homicide,15-17 yrs,9,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,15.360982894897461 +1995,32,0,other external,15-17 yrs,1,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,1.7067759037017822 +1995,32,0,internal,15-17 yrs,8,58590,15.959327697753906,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,13.654207229614258 +1995,32,0,all,18-20 yrs,81,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,149.65634155273438 +1995,32,0,MVA,18-20 yrs,34,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,62.8187141418457 +1995,32,0,suicide,18-20 yrs,9,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,16.628482818603516 +1995,32,0,homicide,18-20 yrs,16,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,29.56174659729004 +1995,32,0,other external,18-20 yrs,14,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,25.86652946472168 +1995,32,0,internal,18-20 yrs,8,54124,19.011676788330078,0,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,14.78087329864502 +1995,32,0,all,21-24 yrs,119,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,160.53529357910156 +1995,32,0,MVA,21-24 yrs,24,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,32.37686538696289 +1995,32,0,suicide,21-24 yrs,40,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,53.96144485473633 +1995,32,0,homicide,21-24 yrs,28,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,37.77301025390625 +1995,32,0,other external,21-24 yrs,15,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,20.23554229736328 +1995,32,0,internal,21-24 yrs,12,74127,22.538414001464844,1,0.05905512347817421,1.8700000047683716,0.5799999833106995,1.3899999856948853,3.8399999141693115,16.188432693481445 +1996,32,0,MVA,15-17 yrs,20,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,31.77023696899414 +1996,32,0,suicide,15-17 yrs,8,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,12.708094596862793 +1996,32,0,homicide,15-17 yrs,12,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,19.062143325805664 +1996,32,0,other external,15-17 yrs,8,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,12.708094596862793 +1996,32,0,internal,15-17 yrs,12,62952,15.971041679382324,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,19.062143325805664 +1996,32,0,all,18-20 yrs,75,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,131.51895141601562 +1996,32,0,MVA,18-20 yrs,27,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,47.346824645996094 +1996,32,0,suicide,18-20 yrs,13,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,22.796619415283203 +1996,32,0,homicide,18-20 yrs,18,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,31.564550399780273 +1996,32,0,other external,18-20 yrs,9,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,15.782275199890137 +1996,32,0,internal,18-20 yrs,8,57026,19.002471923828125,0,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,14.028688430786133 +1996,32,0,all,21-24 yrs,117,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,153.78549194335938 +1996,32,0,MVA,21-24 yrs,31,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,40.74658203125 +1996,32,0,suicide,21-24 yrs,29,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,38.11777114868164 +1996,32,0,homicide,21-24 yrs,26,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,34.17455291748047 +1996,32,0,other external,21-24 yrs,12,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,15.772871017456055 +1996,32,0,internal,21-24 yrs,19,76080,22.521175384521484,1,0.057361382991075516,1.909999966621399,0.5899999737739563,1.3899999856948853,3.890000104904175,24.973711013793945 +1970,33,0,MVA,15-17 yrs,25,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,62.5672607421875 +1970,33,0,suicide,15-17 yrs,1,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.502690315246582 +1970,33,0,homicide,15-17 yrs,0,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,0 +1970,33,0,other external,15-17 yrs,8,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,20.021522521972656 +1970,33,0,internal,15-17 yrs,4,39957,15.977850914001465,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,10.010761260986328 +1970,33,0,all,18-20 yrs,45,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,111.99601745605469 +1970,33,0,MVA,18-20 yrs,24,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,59.73120880126953 +1970,33,0,suicide,18-20 yrs,1,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.488800287246704 +1970,33,0,homicide,18-20 yrs,1,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.488800287246704 +1970,33,0,other external,18-20 yrs,11,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,27.37680435180664 +1970,33,0,internal,18-20 yrs,8,40180,18.970930099487305,0,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,19.910402297973633 +1970,33,0,all,21-24 yrs,55,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,120.33168029785156 +1970,33,0,MVA,21-24 yrs,20,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,43.75697326660156 +1970,33,0,suicide,21-24 yrs,7,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,15.314940452575684 +1970,33,0,homicide,21-24 yrs,1,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,2.1878488063812256 +1970,33,0,other external,21-24 yrs,9,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,19.690637588500977 +1970,33,0,internal,21-24 yrs,18,45707,22.39149284362793,1,0.30927833914756775,1.6799999475479126,0.3199999928474426,2.819999933242798,4.820000171661377,39.38127517700195 +1971,33,0,MVA,15-17 yrs,21,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,50.359710693359375 +1971,33,0,suicide,15-17 yrs,2,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,4.796163082122803 +1971,33,0,homicide,15-17 yrs,0,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,0 +1971,33,0,other external,15-17 yrs,9,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,21.582733154296875 +1971,33,0,internal,15-17 yrs,4,41700,15.975707054138184,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,9.592326164245605 +1971,33,0,all,18-20 yrs,61,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,150.0430450439453 +1971,33,0,MVA,18-20 yrs,29,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,71.331939697265625 +1971,33,0,suicide,18-20 yrs,7,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,17.218053817749023 +1971,33,0,homicide,18-20 yrs,2,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,4.9194440841674805 +1971,33,0,other external,18-20 yrs,15,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,36.89583206176758 +1971,33,0,internal,18-20 yrs,8,40655,19.011978149414062,0,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,19.677776336669922 +1971,33,0,all,21-24 yrs,68,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,128.36727905273438 +1971,33,0,MVA,21-24 yrs,26,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,49.081607818603516 +1971,33,0,suicide,21-24 yrs,10,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,18.877540588378906 +1971,33,0,homicide,21-24 yrs,0,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,0 +1971,33,0,other external,21-24 yrs,14,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,26.428558349609375 +1971,33,0,internal,21-24 yrs,18,52973,22.528457641601562,1,0.29629629850387573,1.7899999618530273,0.4000000059604645,3.0899999141693115,5.269999980926514,33.979576110839844 +1972,33,0,MVA,15-17 yrs,12,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,27.525461196899414 +1972,33,0,suicide,15-17 yrs,4,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,9.175153732299805 +1972,33,0,homicide,15-17 yrs,0,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,0 +1972,33,0,other external,15-17 yrs,8,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,18.35030746459961 +1972,33,0,internal,15-17 yrs,10,43596,15.96735954284668,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,22.937883377075195 +1972,33,0,all,18-20 yrs,48,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,116.58692169189453 +1972,33,0,MVA,18-20 yrs,18,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,43.7200927734375 +1972,33,0,suicide,18-20 yrs,8,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,19.43115234375 +1972,33,0,homicide,18-20 yrs,4,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,9.715576171875 +1972,33,0,other external,18-20 yrs,10,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,24.2889404296875 +1972,33,0,internal,18-20 yrs,8,41171,19.0059757232666,0,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,19.43115234375 +1972,33,0,all,21-24 yrs,48,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,87.44602966308594 +1972,33,0,MVA,21-24 yrs,24,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,43.72301483154297 +1972,33,0,suicide,21-24 yrs,2,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,3.6435844898223877 +1972,33,0,homicide,21-24 yrs,2,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,3.6435844898223877 +1972,33,0,other external,21-24 yrs,8,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,14.57433795928955 +1972,33,0,internal,21-24 yrs,12,54891,22.50775146484375,1,0.2870813310146332,1.7899999618530273,0.3799999952316284,3.0999999046325684,5.269999980926514,21.861507415771484 +1973,33,0.5863013863563538,MVA,15-17 yrs,15,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,33.04401397705078 +1973,33,0.5863013863563538,suicide,15-17 yrs,5,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,11.014671325683594 +1973,33,0.5863013863563538,homicide,15-17 yrs,1,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,2.2029342651367188 +1973,33,0.5863013863563538,other external,15-17 yrs,11,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,24.232276916503906 +1973,33,0.5863013863563538,internal,15-17 yrs,4,45394,15.973543167114258,0,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,8.811737060546875 +1973,33,0.5863013863563538,all,18-20 yrs,48,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,114.07115173339844 +1973,33,0.5863013863563538,MVA,18-20 yrs,25,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,59.41205978393555 +1973,33,0.5863013863563538,suicide,18-20 yrs,6,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,14.258893966674805 +1973,33,0.5863013863563538,homicide,18-20 yrs,2,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,4.752964496612549 +1973,33,0.5863013863563538,other external,18-20 yrs,11,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,26.141305923461914 +1973,33,0.5863013863563538,internal,18-20 yrs,4,42079,18.9803466796875,0.5863013863563538,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,9.505928993225098 +1973,33,0.5863013863563538,all,21-24 yrs,61,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,108.45986938476562 +1973,33,0.5863013863563538,MVA,21-24 yrs,17,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,30.226520538330078 +1973,33,0.5863013863563538,suicide,21-24 yrs,10,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,17.780305862426758 +1973,33,0.5863013863563538,homicide,21-24 yrs,4,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,7.112122535705566 +1973,33,0.5863013863563538,other external,21-24 yrs,12,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,21.336368560791016 +1973,33,0.5863013863563538,internal,21-24 yrs,18,56242,22.52556800842285,1,0.2702702581882477,1.9199999570846558,0.38999998569488525,3.0899999141693115,5.400000095367432,32.00455093383789 +1974,33,1,MVA,15-17 yrs,21,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,44.87562942504883 +1974,33,1,suicide,15-17 yrs,0,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,0 +1974,33,1,homicide,15-17 yrs,1,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,2.136934757232666 +1974,33,1,other external,15-17 yrs,9,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,19.232412338256836 +1974,33,1,internal,15-17 yrs,10,46796,15.985169410705566,0,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,21.369348526000977 +1974,33,1,all,18-20 yrs,66,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,149.3584442138672 +1974,33,1,MVA,18-20 yrs,31,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,70.15320587158203 +1974,33,1,suicide,18-20 yrs,12,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,27.15608024597168 +1974,33,1,homicide,18-20 yrs,4,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,9.052026748657227 +1974,33,1,other external,18-20 yrs,9,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,20.3670597076416 +1974,33,1,internal,18-20 yrs,10,44189,18.98422622680664,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,22.63006591796875 +1974,33,1,all,21-24 yrs,49,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,87.65339660644531 +1974,33,1,MVA,21-24 yrs,23,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,41.143428802490234 +1974,33,1,suicide,21-24 yrs,8,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,14.310757637023926 +1974,33,1,homicide,21-24 yrs,2,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,3.5776894092559814 +1974,33,1,other external,21-24 yrs,4,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,7.155378818511963 +1974,33,1,internal,21-24 yrs,12,55902,22.535633087158203,1,0.2434077113866806,1.9900000095367432,0.4099999964237213,2.990000009536743,5.389999866485596,21.466136932373047 +1975,33,1,MVA,15-17 yrs,14,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,29.52901268005371 +1975,33,1,suicide,15-17 yrs,3,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,6.327645301818848 +1975,33,1,homicide,15-17 yrs,1,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,2.109215259552002 +1975,33,1,other external,15-17 yrs,11,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.201366424560547 +1975,33,1,internal,15-17 yrs,6,47411,15.983864784240723,0,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,12.655290603637695 +1975,33,1,all,18-20 yrs,44,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,95.20100402832031 +1975,33,1,MVA,18-20 yrs,18,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,38.945865631103516 +1975,33,1,suicide,18-20 yrs,8,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,17.30927276611328 +1975,33,1,homicide,18-20 yrs,1,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,2.16365909576416 +1975,33,1,other external,18-20 yrs,9,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,19.472932815551758 +1975,33,1,internal,18-20 yrs,8,46218,18.97637367248535,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,17.30927276611328 +1975,33,1,all,21-24 yrs,74,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,132.46218872070312 +1975,33,1,MVA,21-24 yrs,28,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,50.120826721191406 +1975,33,1,suicide,21-24 yrs,19,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,34.010562896728516 +1975,33,1,homicide,21-24 yrs,1,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,1.790029525756836 +1975,33,1,other external,21-24 yrs,13,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.270383834838867 +1975,33,1,internal,21-24 yrs,13,55865,22.5323543548584,1,0.27881041169166565,1.940000057220459,0.49000000953674316,3.0999999046325684,5.519999980926514,23.270383834838867 +1976,33,1,MVA,15-17 yrs,19,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,39.06972885131836 +1976,33,1,suicide,15-17 yrs,0,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,0 +1976,33,1,homicide,15-17 yrs,0,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,0 +1976,33,1,other external,15-17 yrs,3,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,6.168904781341553 +1976,33,1,internal,15-17 yrs,7,48631,15.978819847106934,0,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,14.394110679626465 +1976,33,1,all,18-20 yrs,56,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,116.17774963378906 +1976,33,1,MVA,18-20 yrs,30,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,62.23808288574219 +1976,33,1,suicide,18-20 yrs,3,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,6.223808288574219 +1976,33,1,homicide,18-20 yrs,2,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,4.149205207824707 +1976,33,1,other external,18-20 yrs,10,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,20.74602699279785 +1976,33,1,internal,18-20 yrs,11,48202,18.98271942138672,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,22.820629119873047 +1976,33,1,all,21-24 yrs,56,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,99.7044448852539 +1976,33,1,MVA,21-24 yrs,23,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,40.950042724609375 +1976,33,1,suicide,21-24 yrs,8,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,14.243492126464844 +1976,33,1,homicide,21-24 yrs,1,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,1.7804365158081055 +1976,33,1,other external,21-24 yrs,10,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,17.804365158081055 +1976,33,1,internal,21-24 yrs,14,56166,22.49909210205078,1,0.26362037658691406,1.8899999856948853,0.5299999713897705,3,5.429999828338623,24.926111221313477 +1977,33,1,MVA,15-17 yrs,21,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,42.066463470458984 +1977,33,1,suicide,15-17 yrs,0,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,0 +1977,33,1,homicide,15-17 yrs,0,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,0 +1977,33,1,other external,15-17 yrs,11,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,22.034814834594727 +1977,33,1,internal,15-17 yrs,8,49921,15.983633995056152,0,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,16.025320053100586 +1977,33,1,all,18-20 yrs,69,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,136.215576171875 +1977,33,1,MVA,18-20 yrs,33,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,65.1465835571289 +1977,33,1,suicide,18-20 yrs,10,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,19.74138832092285 +1977,33,1,homicide,18-20 yrs,2,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,3.948277473449707 +1977,33,1,other external,18-20 yrs,16,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,31.586219787597656 +1977,33,1,internal,18-20 yrs,8,50655,18.99573516845703,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,15.793109893798828 +1977,33,1,all,21-24 yrs,44,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,75.81109619140625 +1977,33,1,MVA,21-24 yrs,16,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,27.567670822143555 +1977,33,1,suicide,21-24 yrs,12,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,20.675752639770508 +1977,33,1,homicide,21-24 yrs,2,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,3.4459588527679443 +1977,33,1,other external,21-24 yrs,6,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,10.337876319885254 +1977,33,1,internal,21-24 yrs,8,58039,22.468908309936523,1,0.24752476811408997,1.8899999856948853,0.5,2.930000066757202,5.320000171661377,13.783835411071777 +1978,33,1,MVA,15-17 yrs,23,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,45.19995880126953 +1978,33,1,suicide,15-17 yrs,6,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,11.79129409790039 +1978,33,1,homicide,15-17 yrs,1,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,1.9652156829833984 +1978,33,1,other external,15-17 yrs,9,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,17.686941146850586 +1978,33,1,internal,15-17 yrs,6,50885,15.992630004882812,0,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,11.79129409790039 +1978,33,1,all,18-20 yrs,51,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,97.47706604003906 +1978,33,1,MVA,18-20 yrs,22,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,42.04893112182617 +1978,33,1,suicide,18-20 yrs,7,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,13.379204750061035 +1978,33,1,homicide,18-20 yrs,2,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,3.822629928588867 +1978,33,1,other external,18-20 yrs,10,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,19.113149642944336 +1978,33,1,internal,18-20 yrs,10,52320,18.994895935058594,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,19.113149642944336 +1978,33,1,all,21-24 yrs,66,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,107.85547637939453 +1978,33,1,MVA,21-24 yrs,33,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,53.927738189697266 +1978,33,1,suicide,21-24 yrs,9,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,14.707564353942871 +1978,33,1,homicide,21-24 yrs,0,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,0 +1978,33,1,other external,21-24 yrs,10,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,16.341737747192383 +1978,33,1,internal,21-24 yrs,14,61193,22.45784568786621,1,0.2300613671541214,1.9900000095367432,0.5400000214576721,2.940000057220459,5.460000038146973,22.878433227539062 +1979,33,0.5892310738563538,MVA,15-17 yrs,26,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,51.014400482177734 +1979,33,0.5892310738563538,suicide,15-17 yrs,2,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,3.924184799194336 +1979,33,0.5892310738563538,homicide,15-17 yrs,0,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,0 +1979,33,0.5892310738563538,other external,15-17 yrs,7,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,13.734646797180176 +1979,33,0.5892310738563538,internal,15-17 yrs,11,50966,15.992073059082031,0,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.58301544189453 +1979,33,0.5892310738563538,all,18-20 yrs,54,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,99.84838104248047 +1979,33,0.5892310738563538,MVA,18-20 yrs,22,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,40.67897033691406 +1979,33,0.5892310738563538,suicide,18-20 yrs,7,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,12.943307876586914 +1979,33,0.5892310738563538,homicide,18-20 yrs,0,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,0 +1979,33,0.5892310738563538,other external,18-20 yrs,15,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,27.735660552978516 +1979,33,0.5892310738563538,internal,18-20 yrs,10,54082,18.991199493408203,0.5892310738563538,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,18.490440368652344 +1979,33,0.5892310738563538,all,21-24 yrs,64,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,100.34493255615234 +1979,33,0.5892310738563538,MVA,21-24 yrs,27,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,42.3330192565918 +1979,33,0.5892310738563538,suicide,21-24 yrs,14,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.950454711914062 +1979,33,0.5892310738563538,homicide,21-24 yrs,2,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,3.1357791423797607 +1979,33,0.5892310738563538,other external,21-24 yrs,7,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,10.975227355957031 +1979,33,0.5892310738563538,internal,21-24 yrs,14,63780,22.46331214904785,1,0.20661158859729767,1.9800000190734863,0.6200000047683716,2.609999895095825,5.199999809265137,21.950454711914062 +1980,33,0.32997751235961914,MVA,15-17 yrs,17,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,33.54314422607422 +1980,33,0.32997751235961914,suicide,15-17 yrs,4,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,7.8925042152404785 +1980,33,0.32997751235961914,homicide,15-17 yrs,0,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,0 +1980,33,0.32997751235961914,other external,15-17 yrs,8,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,15.785008430480957 +1980,33,0.32997751235961914,internal,15-17 yrs,6,50681,16.00372886657715,0,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,11.838756561279297 +1980,33,0.32997751235961914,all,18-20 yrs,62,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,113.28131866455078 +1980,33,0.32997751235961914,MVA,18-20 yrs,39,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,71.25760650634766 +1980,33,0.32997751235961914,suicide,18-20 yrs,8,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,14.616944313049316 +1980,33,0.32997751235961914,homicide,18-20 yrs,1,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,1.8271180391311646 +1980,33,0.32997751235961914,other external,18-20 yrs,8,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,14.616944313049316 +1980,33,0.32997751235961914,internal,18-20 yrs,6,54731,19.00811195373535,0.32997751235961914,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,10.962708473205566 +1980,33,0.32997751235961914,all,21-24 yrs,79,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,119.03685760498047 +1980,33,0.32997751235961914,MVA,21-24 yrs,37,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,55.75143814086914 +1980,33,0.32997751235961914,suicide,21-24 yrs,11,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,16.574752807617188 +1980,33,0.32997751235961914,homicide,21-24 yrs,6,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,9.04077434539795 +1980,33,0.32997751235961914,other external,21-24 yrs,16,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,24.10873031616211 +1980,33,0.32997751235961914,internal,21-24 yrs,9,66366,22.465599060058594,1,0.18203884363174438,2.2100000381469727,0.6899999976158142,2.859999895095825,5.760000228881836,13.561161041259766 +1981,33,0.3544958829879761,MVA,15-17 yrs,12,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,24.214052200317383 +1981,33,0.3544958829879761,suicide,15-17 yrs,4,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,8.071351051330566 +1981,33,0.3544958829879761,homicide,15-17 yrs,0,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,0 +1981,33,0.3544958829879761,other external,15-17 yrs,8,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,16.142702102661133 +1981,33,0.3544958829879761,internal,15-17 yrs,9,49558,16.02368927001953,0,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,18.160539627075195 +1981,33,0.3544958829879761,all,18-20 yrs,63,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,117.25947570800781 +1981,33,0.3544958829879761,MVA,18-20 yrs,31,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,57.6991081237793 +1981,33,0.3544958829879761,suicide,18-20 yrs,12,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,22.33513832092285 +1981,33,0.3544958829879761,homicide,18-20 yrs,1,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,1.8612616062164307 +1981,33,0.3544958829879761,other external,18-20 yrs,12,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,22.33513832092285 +1981,33,0.3544958829879761,internal,18-20 yrs,7,53727,19.046661376953125,0.3544958829879761,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,13.028830528259277 +1981,33,0.3544958829879761,all,21-24 yrs,65,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,94.66800689697266 +1981,33,0.3544958829879761,MVA,21-24 yrs,29,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,42.23649597167969 +1981,33,0.3544958829879761,suicide,21-24 yrs,12,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,17.477170944213867 +1981,33,0.3544958829879761,homicide,21-24 yrs,5,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,7.282154560089111 +1981,33,0.3544958829879761,other external,21-24 yrs,10,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,14.564309120178223 +1981,33,0.3544958829879761,internal,21-24 yrs,9,68661,22.46843147277832,1,0.19801980257034302,1.8899999856948853,0.5899999737739563,2.440000057220459,4.920000076293945,13.107877731323242 +1982,33,0.3479507267475128,MVA,15-17 yrs,19,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,39.56932067871094 +1982,33,0.3479507267475128,suicide,15-17 yrs,2,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,4.165191650390625 +1982,33,0.3479507267475128,homicide,15-17 yrs,0,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,0 +1982,33,0.3479507267475128,other external,15-17 yrs,4,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,8.33038330078125 +1982,33,0.3479507267475128,internal,15-17 yrs,10,48017,16.0240535736084,0,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,20.825958251953125 +1982,33,0.3479507267475128,all,18-20 yrs,53,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,101.9819107055664 +1982,33,0.3479507267475128,MVA,18-20 yrs,28,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,53.877235412597656 +1982,33,0.3479507267475128,suicide,18-20 yrs,7,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,13.469308853149414 +1982,33,0.3479507267475128,homicide,18-20 yrs,2,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,3.848374128341675 +1982,33,0.3479507267475128,other external,18-20 yrs,6,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,11.545122146606445 +1982,33,0.3479507267475128,internal,18-20 yrs,10,51970,19.02484130859375,0.3479507267475128,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,19.241870880126953 +1982,33,0.3479507267475128,all,21-24 yrs,63,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,89.049713134765625 +1982,33,0.3479507267475128,MVA,21-24 yrs,30,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,42.404624938964844 +1982,33,0.3479507267475128,suicide,21-24 yrs,9,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,12.72138786315918 +1982,33,0.3479507267475128,homicide,21-24 yrs,4,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,5.653950214385986 +1982,33,0.3479507267475128,other external,21-24 yrs,13,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,18.375337600708008 +1982,33,0.3479507267475128,internal,21-24 yrs,7,70747,22.463298797607422,1,0.1865285038948059,1.8899999856948853,0.5799999833106995,2.3399999141693115,4.809999942779541,9.89441204071045 +1983,33,0.33515581488609314,MVA,15-17 yrs,18,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,38.905460357666016 +1983,33,0.33515581488609314,suicide,15-17 yrs,2,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,4.322828769683838 +1983,33,0.33515581488609314,homicide,15-17 yrs,0,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,0 +1983,33,0.33515581488609314,other external,15-17 yrs,3,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,6.484243392944336 +1983,33,0.33515581488609314,internal,15-17 yrs,5,46266,16.02010154724121,0,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,10.807071685791016 +1983,33,0.33515581488609314,all,18-20 yrs,56,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,109.34937286376953 +1983,33,0.33515581488609314,MVA,18-20 yrs,30,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,58.580020904541016 +1983,33,0.33515581488609314,suicide,18-20 yrs,3,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,5.858002185821533 +1983,33,0.33515581488609314,homicide,18-20 yrs,1,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,1.9526673555374146 +1983,33,0.33515581488609314,other external,18-20 yrs,11,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,21.479341506958008 +1983,33,0.33515581488609314,internal,18-20 yrs,11,51212,19.01183319091797,0.33515581488609314,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,21.479341506958008 +1983,33,0.33515581488609314,all,21-24 yrs,65,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,90.72383880615234 +1983,33,0.33515581488609314,MVA,21-24 yrs,26,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,36.28953552246094 +1983,33,0.33515581488609314,suicide,21-24 yrs,17,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,23.727771759033203 +1983,33,0.33515581488609314,homicide,21-24 yrs,4,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,5.583005428314209 +1983,33,0.33515581488609314,other external,21-24 yrs,9,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,12.561761856079102 +1983,33,0.33515581488609314,internal,21-24 yrs,9,71646,22.49205780029297,1,0.3012048304080963,2.1700000762939453,0.5600000023841858,2.3499999046325684,5.079999923706055,12.561761856079102 +1984,33,0.345766544342041,MVA,15-17 yrs,12,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,26.223203659057617 +1984,33,0.345766544342041,suicide,15-17 yrs,2,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,4.3705339431762695 +1984,33,0.345766544342041,homicide,15-17 yrs,0,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,0 +1984,33,0.345766544342041,other external,15-17 yrs,7,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,15.296868324279785 +1984,33,0.345766544342041,internal,15-17 yrs,4,45761,16.01376724243164,0,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,8.741067886352539 +1984,33,0.345766544342041,all,18-20 yrs,41,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,79.85820007324219 +1984,33,0.345766544342041,MVA,18-20 yrs,25,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,48.694026947021484 +1984,33,0.345766544342041,suicide,18-20 yrs,4,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,7.791044235229492 +1984,33,0.345766544342041,homicide,18-20 yrs,1,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,1.947761058807373 +1984,33,0.345766544342041,other external,18-20 yrs,5,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,9.738804817199707 +1984,33,0.345766544342041,internal,18-20 yrs,6,51341,19.032041549682617,0.345766544342041,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,11.686566352844238 +1984,33,0.345766544342041,all,21-24 yrs,69,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,96.604827880859375 +1984,33,0.345766544342041,MVA,21-24 yrs,36,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,50.40251922607422 +1984,33,0.345766544342041,suicide,21-24 yrs,13,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,18.200910568237305 +1984,33,0.345766544342041,homicide,21-24 yrs,1,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,1.4000699520111084 +1984,33,0.345766544342041,other external,21-24 yrs,12,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,16.800840377807617 +1984,33,0.345766544342041,internal,21-24 yrs,7,71425,22.533077239990234,1,0.2887391746044159,1.9900000095367432,0.5899999737739563,2.3299999237060547,4.909999847412109,9.800490379333496 +1985,33,0.28905436396598816,MVA,15-17 yrs,14,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,30.55967903137207 +1985,33,0.28905436396598816,suicide,15-17 yrs,7,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,15.279839515686035 +1985,33,0.28905436396598816,homicide,15-17 yrs,1,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,2.1828341484069824 +1985,33,0.28905436396598816,other external,15-17 yrs,4,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,8.73133659362793 +1985,33,0.28905436396598816,internal,15-17 yrs,3,45812,16.004627227783203,0,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,6.548502445220947 +1985,33,0.28905436396598816,all,18-20 yrs,56,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,110.29701232910156 +1985,33,0.28905436396598816,MVA,18-20 yrs,24,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,47.27014923095703 +1985,33,0.28905436396598816,suicide,18-20 yrs,13,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,25.604663848876953 +1985,33,0.28905436396598816,homicide,18-20 yrs,0,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,0 +1985,33,0.28905436396598816,other external,18-20 yrs,7,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,13.787126541137695 +1985,33,0.28905436396598816,internal,18-20 yrs,12,50772,19.034448623657227,0.28905436396598816,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,23.635074615478516 +1985,33,0.28905436396598816,all,21-24 yrs,83,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,116.86848449707031 +1985,33,0.28905436396598816,MVA,21-24 yrs,36,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,50.689945220947266 +1985,33,0.28905436396598816,suicide,21-24 yrs,11,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,15.488595008850098 +1985,33,0.28905436396598816,homicide,21-24 yrs,2,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,2.816108226776123 +1985,33,0.28905436396598816,other external,21-24 yrs,18,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,25.344972610473633 +1985,33,0.28905436396598816,internal,21-24 yrs,16,71020,22.54248046875,1,0.27881041169166565,1.9900000095367432,0.5299999713897705,2.2100000381469727,4.730000019073486,22.528865814208984 +1986,33,0.02980305440723896,MVA,15-17 yrs,16,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,33.91914367675781 +1986,33,0.02980305440723896,suicide,15-17 yrs,3,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,6.359839916229248 +1986,33,0.02980305440723896,homicide,15-17 yrs,0,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,0 +1986,33,0.02980305440723896,other external,15-17 yrs,2,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,4.239892959594727 +1986,33,0.02980305440723896,internal,15-17 yrs,8,47171,15.997180938720703,0,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,16.959571838378906 +1986,33,0.02980305440723896,all,18-20 yrs,52,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,103.00089263916016 +1986,33,0.02980305440723896,MVA,18-20 yrs,26,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,51.50044631958008 +1986,33,0.02980305440723896,suicide,18-20 yrs,10,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,19.807863235473633 +1986,33,0.02980305440723896,homicide,18-20 yrs,2,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,3.9615726470947266 +1986,33,0.02980305440723896,other external,18-20 yrs,9,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,17.827077865600586 +1986,33,0.02980305440723896,internal,18-20 yrs,5,50485,19.030067443847656,0.02980305440723896,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,9.903931617736816 +1986,33,0.02980305440723896,all,21-24 yrs,60,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,85.67756652832031 +1986,33,0.02980305440723896,MVA,21-24 yrs,22,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,31.41510772705078 +1986,33,0.02980305440723896,suicide,21-24 yrs,19,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,27.131229400634766 +1986,33,0.02980305440723896,homicide,21-24 yrs,0,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,0 +1986,33,0.02980305440723896,other external,21-24 yrs,6,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,8.567756652832031 +1986,33,0.02980305440723896,internal,21-24 yrs,13,70030,22.515350341796875,1,0.27372264862060547,1.9299999475479126,0.5199999809265137,2.059999942779541,4.510000228881836,18.563472747802734 +1987,33,0,MVA,15-17 yrs,23,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,48.91431427001953 +1987,33,0,suicide,15-17 yrs,7,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,14.88696575164795 +1987,33,0,homicide,15-17 yrs,4,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,8.506837844848633 +1987,33,0,other external,15-17 yrs,1,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,2.126709461212158 +1987,33,0,internal,15-17 yrs,6,47021,16.0355167388916,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,12.760255813598633 +1987,33,0,all,18-20 yrs,34,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,66.64314270019531 +1987,33,0,MVA,18-20 yrs,14,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,27.441295623779297 +1987,33,0,suicide,18-20 yrs,8,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,15.680740356445312 +1987,33,0,homicide,18-20 yrs,1,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,1.960092544555664 +1987,33,0,other external,18-20 yrs,5,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,9.80046272277832 +1987,33,0,internal,18-20 yrs,6,51018,19.021894454956055,0,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,11.760555267333984 +1987,33,0,all,21-24 yrs,69,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,99.8076171875 +1987,33,0,MVA,21-24 yrs,28,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,40.50164031982422 +1987,33,0,suicide,21-24 yrs,16,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,23.143795013427734 +1987,33,0,homicide,21-24 yrs,3,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,4.339461803436279 +1987,33,0,other external,21-24 yrs,15,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,21.697307586669922 +1987,33,0,internal,21-24 yrs,7,69133,22.5063419342041,1,0.26408451795578003,1.9299999475479126,0.5,1.9800000190734863,4.409999847412109,10.125410079956055 +1988,33,0,MVA,15-17 yrs,13,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,28.37498664855957 +1988,33,0,suicide,15-17 yrs,5,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,10.913455963134766 +1988,33,0,homicide,15-17 yrs,2,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,4.365382671356201 +1988,33,0,other external,15-17 yrs,3,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,6.548073768615723 +1988,33,0,internal,15-17 yrs,11,45815,16.069868087768555,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,24.00960350036621 +1988,33,0,all,18-20 yrs,59,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,113.50301361083984 +1988,33,0,MVA,18-20 yrs,29,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,55.789615631103516 +1988,33,0,suicide,18-20 yrs,13,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,25.009138107299805 +1988,33,0,homicide,18-20 yrs,1,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,1.923779845237732 +1988,33,0,other external,18-20 yrs,8,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.390238761901855 +1988,33,0,internal,18-20 yrs,8,51981,19.011754989624023,0,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.390238761901855 +1988,33,0,all,21-24 yrs,62,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,90.11235046386719 +1988,33,0,MVA,21-24 yrs,31,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,45.056175231933594 +1988,33,0,suicide,21-24 yrs,10,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,14.534250259399414 +1988,33,0,homicide,21-24 yrs,1,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,1.4534250497817993 +1988,33,0,other external,21-24 yrs,9,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,13.080824851989746 +1988,33,0,internal,21-24 yrs,11,68803,22.517593383789062,1,0.2535925507545471,1.909999966621399,0.49000000953674316,1.940000057220459,4.329999923706055,15.987674713134766 +1989,33,0,MVA,15-17 yrs,17,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,39.37099075317383 +1989,33,0,suicide,15-17 yrs,3,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,6.947822093963623 +1989,33,0,homicide,15-17 yrs,4,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,9.263762474060059 +1989,33,0,other external,15-17 yrs,2,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,4.631881237030029 +1989,33,0,internal,15-17 yrs,1,43179,16.045856475830078,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,2.3159406185150146 +1989,33,0,all,18-20 yrs,46,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,85.84972381591797 +1989,33,0,MVA,18-20 yrs,21,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,39.192264556884766 +1989,33,0,suicide,18-20 yrs,13,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,24.261878967285156 +1989,33,0,homicide,18-20 yrs,0,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,0 +1989,33,0,other external,18-20 yrs,4,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,7.465193748474121 +1989,33,0,internal,18-20 yrs,8,53582,19.005674362182617,0,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,14.930387496948242 +1989,33,0,all,21-24 yrs,59,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,87.507232666015625 +1989,33,0,MVA,21-24 yrs,27,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,40.04568099975586 +1989,33,0,suicide,21-24 yrs,12,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,17.798080444335938 +1989,33,0,homicide,21-24 yrs,3,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,4.449520111083984 +1989,33,0,other external,21-24 yrs,5,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,7.415866851806641 +1989,33,0,internal,21-24 yrs,12,67423,22.51259994506836,1,0.24193549156188965,1.8700000047683716,0.5,1.9900000095367432,4.369999885559082,17.798080444335938 +1990,33,0,MVA,15-17 yrs,10,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,24.177364349365234 +1990,33,0,suicide,15-17 yrs,6,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,14.50641918182373 +1990,33,0,homicide,15-17 yrs,1,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,2.417736530303955 +1990,33,0,other external,15-17 yrs,1,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,2.417736530303955 +1990,33,0,internal,15-17 yrs,4,41361,16.016706466674805,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,9.67094612121582 +1990,33,0,all,18-20 yrs,34,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,64.8125228881836 +1990,33,0,MVA,18-20 yrs,18,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,34.3125114440918 +1990,33,0,suicide,18-20 yrs,6,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,11.437503814697266 +1990,33,0,homicide,18-20 yrs,0,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,0 +1990,33,0,other external,18-20 yrs,7,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,13.343753814697266 +1990,33,0,internal,18-20 yrs,3,52459,19.04513931274414,0,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,5.718751907348633 +1990,33,0,all,21-24 yrs,40,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,61.00815963745117 +1990,33,0,MVA,21-24 yrs,11,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,16.777244567871094 +1990,33,0,suicide,21-24 yrs,10,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,15.252039909362793 +1990,33,0,homicide,21-24 yrs,3,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,4.5756120681762695 +1990,33,0,other external,21-24 yrs,9,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,13.726836204528809 +1990,33,0,internal,21-24 yrs,7,65565,22.487668991088867,1,0.22953329980373383,1.850000023841858,0.49000000953674316,1.9700000286102295,4.300000190734863,10.676427841186523 +1991,33,0,MVA,15-17 yrs,7,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,17.201553344726562 +1991,33,0,suicide,15-17 yrs,7,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,17.201553344726562 +1991,33,0,homicide,15-17 yrs,0,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,0 +1991,33,0,other external,15-17 yrs,3,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,7.37209415435791 +1991,33,0,internal,15-17 yrs,4,40694,16.01123046875,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,9.829459190368652 +1991,33,0,all,18-20 yrs,39,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,82.7603759765625 +1991,33,0,MVA,18-20 yrs,15,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,31.830913543701172 +1991,33,0,suicide,18-20 yrs,10,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,21.220609664916992 +1991,33,0,homicide,18-20 yrs,3,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.366182804107666 +1991,33,0,other external,18-20 yrs,3,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.366182804107666 +1991,33,0,internal,18-20 yrs,8,47124,19.082294464111328,0,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,16.97648811340332 +1991,33,0,all,21-24 yrs,56,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,87.8100814819336 +1991,33,0,MVA,21-24 yrs,21,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,32.92877960205078 +1991,33,0,suicide,21-24 yrs,12,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,18.81644630432129 +1991,33,0,homicide,21-24 yrs,4,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,6.272148609161377 +1991,33,0,other external,21-24 yrs,9,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,14.112334251403809 +1991,33,0,internal,21-24 yrs,10,63774,22.45750617980957,1,0.22026433050632477,1.850000023841858,0.49000000953674316,1.9600000381469727,4.300000190734863,15.680371284484863 +1992,33,0,MVA,15-17 yrs,8,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,19.325071334838867 +1992,33,0,suicide,15-17 yrs,5,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,12.078169822692871 +1992,33,0,homicide,15-17 yrs,0,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,0 +1992,33,0,other external,15-17 yrs,3,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,7.246901988983154 +1992,33,0,internal,15-17 yrs,6,41397,15.99294662475586,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.493803977966309 +1992,33,0,all,18-20 yrs,27,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,63.395164489746094 +1992,33,0,MVA,18-20 yrs,11,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,25.827659606933594 +1992,33,0,suicide,18-20 yrs,6,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.087814331054688 +1992,33,0,homicide,18-20 yrs,3,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,7.043907165527344 +1992,33,0,other external,18-20 yrs,1,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,2.3479690551757812 +1992,33,0,internal,18-20 yrs,6,42590,19.05602264404297,0,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,14.087814331054688 +1992,33,0,all,21-24 yrs,42,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,65.53079986572266 +1992,33,0,MVA,21-24 yrs,13,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,20.283342361450195 +1992,33,0,suicide,21-24 yrs,13,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,20.283342361450195 +1992,33,0,homicide,21-24 yrs,1,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,1.560257077217102 +1992,33,0,other external,21-24 yrs,4,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,6.241028308868408 +1992,33,0,internal,21-24 yrs,11,64092,22.461898803710938,1,0.21382752060890198,1.809999942779541,0.5199999809265137,1.9600000381469727,4.300000190734863,17.16282844543457 +1993,33,0,MVA,15-17 yrs,7,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,16.5425968170166 +1993,33,0,suicide,15-17 yrs,8,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,18.905824661254883 +1993,33,0,homicide,15-17 yrs,1,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,2.3632280826568604 +1993,33,0,other external,15-17 yrs,0,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,0 +1993,33,0,internal,15-17 yrs,7,42315,15.969585418701172,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,16.5425968170166 +1993,33,0,all,18-20 yrs,18,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,44.49168395996094 +1993,33,0,MVA,18-20 yrs,10,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,24.717601776123047 +1993,33,0,suicide,18-20 yrs,2,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,4.9435200691223145 +1993,33,0,homicide,18-20 yrs,1,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,2.4717600345611572 +1993,33,0,other external,18-20 yrs,0,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,0 +1993,33,0,internal,18-20 yrs,5,40457,19.006772994995117,0,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,12.358800888061523 +1993,33,0,all,21-24 yrs,35,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,55.42447280883789 +1993,33,0,MVA,21-24 yrs,12,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,19.002676010131836 +1993,33,0,suicide,21-24 yrs,9,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,14.252007484436035 +1993,33,0,homicide,21-24 yrs,2,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,3.1671125888824463 +1993,33,0,other external,21-24 yrs,5,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,7.917781829833984 +1993,33,0,internal,21-24 yrs,7,63149,22.52339744567871,1,0.20761246979236603,1.8300000429153442,0.5400000214576721,2.009999990463257,4.380000114440918,11.084894180297852 +1994,33,0,MVA,15-17 yrs,9,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,20.270727157592773 +1994,33,0,suicide,15-17 yrs,3,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,6.756908893585205 +1994,33,0,homicide,15-17 yrs,1,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,2.252302885055542 +1994,33,0,other external,15-17 yrs,2,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,4.504605770111084 +1994,33,0,internal,15-17 yrs,3,44399,15.970945358276367,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,6.756908893585205 +1994,33,0,all,18-20 yrs,30,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,75.46410369873047 +1994,33,0,MVA,18-20 yrs,9,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,22.639230728149414 +1994,33,0,suicide,18-20 yrs,9,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,22.639230728149414 +1994,33,0,homicide,18-20 yrs,0,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,0 +1994,33,0,other external,18-20 yrs,5,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,12.577350616455078 +1994,33,0,internal,18-20 yrs,7,39754,19.00840187072754,0,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,17.608291625976562 +1994,33,0,all,21-24 yrs,46,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,76.84083557128906 +1994,33,0,MVA,21-24 yrs,19,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,31.73860740661621 +1994,33,0,suicide,21-24 yrs,12,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,20.04543685913086 +1994,33,0,homicide,21-24 yrs,0,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,0 +1994,33,0,other external,21-24 yrs,6,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,10.02271842956543 +1994,33,0,internal,21-24 yrs,9,59864,22.59391212463379,1,0.2024291604757309,1.75,0.47999998927116394,1.899999976158142,4.130000114440918,15.034077644348145 +1995,33,0,MVA,15-17 yrs,10,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,21.56241226196289 +1995,33,0,suicide,15-17 yrs,8,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,17.249929428100586 +1995,33,0,homicide,15-17 yrs,1,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,2.1562411785125732 +1995,33,0,other external,15-17 yrs,3,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,6.468723773956299 +1995,33,0,internal,15-17 yrs,4,46377,15.9631929397583,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,8.624964714050293 +1995,33,0,all,18-20 yrs,30,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,74.369720458984375 +1995,33,0,MVA,18-20 yrs,9,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,22.310914993286133 +1995,33,0,suicide,18-20 yrs,11,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,27.268896102905273 +1995,33,0,homicide,18-20 yrs,3,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,7.436971664428711 +1995,33,0,other external,18-20 yrs,4,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,9.915962219238281 +1995,33,0,internal,18-20 yrs,3,40339,18.99595832824707,0,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,7.436971664428711 +1995,33,0,all,21-24 yrs,38,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,67.6048355102539 +1995,33,0,MVA,21-24 yrs,13,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,23.12796974182129 +1995,33,0,suicide,21-24 yrs,15,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,26.68611717224121 +1995,33,0,homicide,21-24 yrs,2,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,3.5581490993499756 +1995,33,0,other external,21-24 yrs,0,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,0 +1995,33,0,internal,21-24 yrs,8,56209,22.609102249145508,1,0.19685040414333344,1.7400000095367432,0.5099999904632568,1.8700000047683716,4.119999885559082,14.232596397399902 +1996,33,0,MVA,15-17 yrs,8,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,16.570693969726562 +1996,33,0,suicide,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,homicide,15-17 yrs,1,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,2.0713367462158203 +1996,33,0,other external,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,internal,15-17 yrs,2,48278,15.971001625061035,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,4.142673492431641 +1996,33,0,all,18-20 yrs,32,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,77.59080505371094 +1996,33,0,MVA,18-20 yrs,9,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,21.82241439819336 +1996,33,0,suicide,18-20 yrs,10,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,24.247127532958984 +1996,33,0,homicide,18-20 yrs,0,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,0 +1996,33,0,other external,18-20 yrs,5,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,12.123563766479492 +1996,33,0,internal,18-20 yrs,8,41242,18.976675033569336,0,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,19.397701263427734 +1996,33,0,all,21-24 yrs,42,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,79.0737075805664 +1996,33,0,MVA,21-24 yrs,16,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,30.12331771850586 +1996,33,0,suicide,21-24 yrs,11,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,20.709779739379883 +1996,33,0,homicide,21-24 yrs,1,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,1.8827073574066162 +1996,33,0,other external,21-24 yrs,5,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,9.41353702545166 +1996,33,0,internal,21-24 yrs,9,53115,22.5506534576416,1,0.19120460748672485,1.7300000190734863,0.550000011920929,1.850000023841858,4.130000114440918,16.944366455078125 +1970,34,0,MVA,15-17 yrs,67,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,17.051252365112305 +1970,34,0,suicide,15-17 yrs,9,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,2.290466785430908 +1970,34,0,homicide,15-17 yrs,11,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,2.799459457397461 +1970,34,0,other external,15-17 yrs,55,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,13.997297286987305 +1970,34,0,internal,15-17 yrs,89,392933,15.980271339416504,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.650171279907227 +1970,34,0,all,18-20 yrs,330,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,102.1807861328125 +1970,34,0,MVA,18-20 yrs,95,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,29.415679931640625 +1970,34,0,suicide,18-20 yrs,14,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,4.33494234085083 +1970,34,0,homicide,18-20 yrs,31,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,9.5988006591796875 +1970,34,0,other external,18-20 yrs,72,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.293989181518555 +1970,34,0,internal,18-20 yrs,118,322957,18.966989517211914,0,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,36.53737258911133 +1970,34,0,all,21-24 yrs,502,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,123.58992004394531 +1970,34,0,MVA,21-24 yrs,136,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,33.48252868652344 +1970,34,0,suicide,21-24 yrs,31,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,7.632046699523926 +1970,34,0,homicide,21-24 yrs,68,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,16.74126434326172 +1970,34,0,other external,21-24 yrs,92,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,22.649944305419922 +1970,34,0,internal,21-24 yrs,175,406182,22.466615676879883,1,0.08505154401063919,1.1699999570846558,0.3799999952316284,1.3799999952316284,2.930000066757202,43.08413314819336 +1971,34,0,MVA,15-17 yrs,95,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,23.466814041137695 +1971,34,0,suicide,15-17 yrs,9,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,2.2231719493865967 +1971,34,0,homicide,15-17 yrs,17,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,4.199324607849121 +1971,34,0,other external,15-17 yrs,44,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,10.868840217590332 +1971,34,0,internal,15-17 yrs,113,404827,15.984282493591309,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,27.913158416748047 +1971,34,0,all,18-20 yrs,405,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,117.0127944946289 +1971,34,0,MVA,18-20 yrs,131,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,37.84858322143555 +1971,34,0,suicide,18-20 yrs,30,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,8.667613983154297 +1971,34,0,homicide,18-20 yrs,32,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,9.245455741882324 +1971,34,0,other external,18-20 yrs,80,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,23.113637924194336 +1971,34,0,internal,18-20 yrs,132,346116,18.971067428588867,0,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,38.13750457763672 +1971,34,0,all,21-24 yrs,538,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,123.8432846069336 +1971,34,0,MVA,21-24 yrs,149,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,34.298606872558594 +1971,34,0,suicide,21-24 yrs,22,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,5.064223766326904 +1971,34,0,homicide,21-24 yrs,57,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,13.120943069458008 +1971,34,0,other external,21-24 yrs,91,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,20.94746971130371 +1971,34,0,internal,21-24 yrs,219,434420,22.564943313598633,1,0.08148147910833359,1.159999966621399,0.41999998688697815,1.3600000143051147,2.940000057220459,50.412044525146484 +1972,34,0,MVA,15-17 yrs,84,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,20.1618709564209 +1972,34,0,suicide,15-17 yrs,2,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,0.48004454374313354 +1972,34,0,homicide,15-17 yrs,14,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,3.36031174659729 +1972,34,0,other external,15-17 yrs,58,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,13.921292304992676 +1972,34,0,internal,15-17 yrs,110,416628,15.978811264038086,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,26.402450561523438 +1972,34,0,all,18-20 yrs,368,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,103.1447982788086 +1972,34,0,MVA,18-20 yrs,114,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,31.952463150024414 +1972,34,0,suicide,18-20 yrs,22,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,6.16626501083374 +1972,34,0,homicide,18-20 yrs,30,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,8.40854263305664 +1972,34,0,other external,18-20 yrs,72,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,20.180503845214844 +1972,34,0,internal,18-20 yrs,130,356780,18.980079650878906,0,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,36.43701934814453 +1972,34,0,all,21-24 yrs,484,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,113.10023498535156 +1972,34,0,MVA,21-24 yrs,130,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,30.37816047668457 +1972,34,0,suicide,21-24 yrs,52,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,12.151264190673828 +1972,34,0,homicide,21-24 yrs,74,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,17.292184829711914 +1972,34,0,other external,21-24 yrs,70,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,16.357471466064453 +1972,34,0,internal,21-24 yrs,158,427939,22.493467330932617,1,0.07894737273454666,1.1200000047683716,0.4099999964237213,1.3300000429153442,2.859999895095825,36.92115020751953 +1973,34,1,MVA,15-17 yrs,98,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,23.107648849487305 +1973,34,1,suicide,15-17 yrs,14,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,3.3010926246643066 +1973,34,1,homicide,15-17 yrs,18,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,4.244262218475342 +1973,34,1,other external,15-17 yrs,51,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,12.025408744812012 +1973,34,1,internal,15-17 yrs,82,424102,15.979696273803711,0,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,19.334970474243164 +1973,34,1,all,18-20 yrs,430,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,119.1026840209961 +1973,34,1,MVA,18-20 yrs,165,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,45.70219421386719 +1973,34,1,suicide,18-20 yrs,27,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,7.478540897369385 +1973,34,1,homicide,18-20 yrs,36,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,9.97138786315918 +1973,34,1,other external,18-20 yrs,80,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,22.158639907836914 +1973,34,1,internal,18-20 yrs,122,361033,18.9813232421875,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,33.79192352294922 +1973,34,1,all,21-24 yrs,520,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,120.42305755615234 +1973,34,1,MVA,21-24 yrs,150,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,34.73741912841797 +1973,34,1,suicide,21-24 yrs,37,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,8.568563461303711 +1973,34,1,homicide,21-24 yrs,77,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,17.83187484741211 +1973,34,1,other external,21-24 yrs,81,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,18.758207321166992 +1973,34,1,internal,21-24 yrs,175,431811,22.46824836730957,1,0.07432432472705841,1.159999966621399,0.4099999964237213,1.2899999618530273,2.859999895095825,40.5269889831543 +1974,34,1,MVA,15-17 yrs,65,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,15.115752220153809 +1974,34,1,suicide,15-17 yrs,10,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,2.325500249862671 +1974,34,1,homicide,15-17 yrs,19,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,4.418450355529785 +1974,34,1,other external,15-17 yrs,41,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,9.534550666809082 +1974,34,1,internal,15-17 yrs,83,430015,15.994067192077637,0,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,19.301652908325195 +1974,34,1,all,18-20 yrs,427,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,116.84512329101562 +1974,34,1,MVA,18-20 yrs,141,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,38.583518981933594 +1974,34,1,suicide,18-20 yrs,26,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,7.114691734313965 +1974,34,1,homicide,18-20 yrs,42,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,11.492962837219238 +1974,34,1,other external,18-20 yrs,74,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,20.2495059967041 +1974,34,1,internal,18-20 yrs,144,365441,18.985925674438477,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,39.40444564819336 +1974,34,1,all,21-24 yrs,497,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,111.99166870117188 +1974,34,1,MVA,21-24 yrs,119,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,26.81490707397461 +1974,34,1,suicide,21-24 yrs,48,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,10.816097259521484 +1974,34,1,homicide,21-24 yrs,54,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,12.168108940124512 +1974,34,1,other external,21-24 yrs,89,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,20.054845809936523 +1974,34,1,internal,21-24 yrs,187,443783,22.465635299682617,1,0.06693711876869202,1.159999966621399,0.4099999964237213,1.2599999904632568,2.8399999141693115,42.13771057128906 +1975,34,1,MVA,15-17 yrs,83,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,19.354177474975586 +1975,34,1,suicide,15-17 yrs,18,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,4.197291374206543 +1975,34,1,homicide,15-17 yrs,32,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,7.461851119995117 +1975,34,1,other external,15-17 yrs,51,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.892325401306152 +1975,34,1,internal,15-17 yrs,67,428848,16.00157356262207,0,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,15.623250961303711 +1975,34,1,all,18-20 yrs,424,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,113.97206115722656 +1975,34,1,MVA,18-20 yrs,174,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,46.77155303955078 +1975,34,1,suicide,18-20 yrs,30,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,8.064061164855957 +1975,34,1,homicide,18-20 yrs,44,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.827289581298828 +1975,34,1,other external,18-20 yrs,65,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,17.472131729125977 +1975,34,1,internal,18-20 yrs,111,372021,18.980173110961914,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,29.837024688720703 +1975,34,1,all,21-24 yrs,493,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,108.24126434326172 +1975,34,1,MVA,21-24 yrs,129,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,28.322765350341797 +1975,34,1,suicide,21-24 yrs,51,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.197372436523438 +1975,34,1,homicide,21-24 yrs,53,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,11.63648509979248 +1975,34,1,other external,21-24 yrs,75,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,16.466724395751953 +1975,34,1,internal,21-24 yrs,185,455464,22.476224899291992,1,0.06133829057216644,1.159999966621399,0.41999998688697815,1.2200000286102295,2.809999942779541,40.617919921875 +1976,34,1,MVA,15-17 yrs,95,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,22.157899856567383 +1976,34,1,suicide,15-17 yrs,11,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,2.5656514167785645 +1976,34,1,homicide,15-17 yrs,13,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,3.0321335792541504 +1976,34,1,other external,15-17 yrs,42,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.796124458312988 +1976,34,1,internal,15-17 yrs,68,428741,15.995116233825684,0,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,15.860391616821289 +1976,34,1,all,18-20 yrs,375,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,99.2459945678711 +1976,34,1,MVA,18-20 yrs,138,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,36.522525787353516 +1976,34,1,suicide,18-20 yrs,42,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,11.115550994873047 +1976,34,1,homicide,18-20 yrs,36,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.527615547180176 +1976,34,1,other external,18-20 yrs,47,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,12.438831329345703 +1976,34,1,internal,18-20 yrs,112,377849,18.982311248779297,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,29.641469955444336 +1976,34,1,all,21-24 yrs,460,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,98.63582611083984 +1976,34,1,MVA,21-24 yrs,131,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,28.089767456054688 +1976,34,1,suicide,21-24 yrs,47,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,10.078007698059082 +1976,34,1,homicide,21-24 yrs,46,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,9.863582611083984 +1976,34,1,other external,21-24 yrs,70,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,15.009799003601074 +1976,34,1,internal,21-24 yrs,166,466362,22.482433319091797,1,0.0579964816570282,1.1299999952316284,0.41999998688697815,1.190000057220459,2.75,35.59466552734375 +1977,34,1,MVA,15-17 yrs,98,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,23.03622055053711 +1977,34,1,suicide,15-17 yrs,14,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,3.290888786315918 +1977,34,1,homicide,15-17 yrs,15,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,3.525952100753784 +1977,34,1,other external,15-17 yrs,41,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,9.637602806091309 +1977,34,1,internal,15-17 yrs,80,425417,15.997489929199219,0,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,18.805078506469727 +1977,34,1,all,18-20 yrs,391,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,102.73333740234375 +1977,34,1,MVA,18-20 yrs,172,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,45.19215774536133 +1977,34,1,suicide,18-20 yrs,31,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.145098686218262 +1977,34,1,homicide,18-20 yrs,31,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.145098686218262 +1977,34,1,other external,18-20 yrs,56,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,14.713726043701172 +1977,34,1,internal,18-20 yrs,101,380597,18.997291564941406,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,26.537256240844727 +1977,34,1,all,21-24 yrs,477,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,100.9910659790039 +1977,34,1,MVA,21-24 yrs,126,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,26.6768856048584 +1977,34,1,suicide,21-24 yrs,56,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,11.856393814086914 +1977,34,1,homicide,21-24 yrs,40,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,8.468852996826172 +1977,34,1,other external,21-24 yrs,70,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,14.820491790771484 +1977,34,1,internal,21-24 yrs,185,472319,22.48990249633789,1,0.05445544794201851,1.159999966621399,0.4000000059604645,1.1299999952316284,2.690000057220459,39.16844177246094 +1978,34,1,MVA,15-17 yrs,90,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,21.257349014282227 +1978,34,1,suicide,15-17 yrs,15,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,3.542891502380371 +1978,34,1,homicide,15-17 yrs,8,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,1.8895421028137207 +1978,34,1,other external,15-17 yrs,32,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,7.558168411254883 +1978,34,1,internal,15-17 yrs,72,423383,16.010009765625,0,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,17.005878448486328 +1978,34,1,all,18-20 yrs,349,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,92.43074035644531 +1978,34,1,MVA,18-20 yrs,142,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,37.60792541503906 +1978,34,1,suicide,18-20 yrs,24,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,6.356268882751465 +1978,34,1,homicide,18-20 yrs,31,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,8.210180282592773 +1978,34,1,other external,18-20 yrs,59,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,15.62582778930664 +1978,34,1,internal,18-20 yrs,93,377580,19.004899978637695,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,24.630542755126953 +1978,34,1,all,21-24 yrs,503,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,104.58402252197266 +1978,34,1,MVA,21-24 yrs,152,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,31.603919982910156 +1978,34,1,suicide,21-24 yrs,48,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,9.980185508728027 +1978,34,1,homicide,21-24 yrs,54,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,11.227707862854004 +1978,34,1,other external,21-24 yrs,84,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,17.46532440185547 +1978,34,1,internal,21-24 yrs,165,480953,22.483896255493164,1,0.05061350017786026,1.1699999570846558,0.41999998688697815,1.100000023841858,2.690000057220459,34.306884765625 +1979,34,1,MVA,15-17 yrs,90,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,21.536304473876953 +1979,34,1,suicide,15-17 yrs,12,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,2.871507167816162 +1979,34,1,homicide,15-17 yrs,23,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,5.503722190856934 +1979,34,1,other external,15-17 yrs,48,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,11.486028671264648 +1979,34,1,internal,15-17 yrs,56,417899,16.00501823425293,0,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,13.40036678314209 +1979,34,1,all,18-20 yrs,392,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,103.75283813476562 +1979,34,1,MVA,18-20 yrs,168,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,44.46549987792969 +1979,34,1,suicide,18-20 yrs,29,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,7.675592422485352 +1979,34,1,homicide,18-20 yrs,39,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,10.322348594665527 +1979,34,1,other external,18-20 yrs,59,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,15.615859985351562 +1979,34,1,internal,18-20 yrs,97,377821,18.9991455078125,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,25.673532485961914 +1979,34,1,all,21-24 yrs,495,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,100.99320220947266 +1979,34,1,MVA,21-24 yrs,146,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,29.787893295288086 +1979,34,1,suicide,21-24 yrs,50,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,10.201333045959473 +1979,34,1,homicide,21-24 yrs,54,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,11.017439842224121 +1979,34,1,other external,21-24 yrs,81,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,16.526161193847656 +1979,34,1,internal,21-24 yrs,164,490132,22.486188888549805,1,0.04545454680919647,1.1799999475479126,0.4300000071525574,1.100000023841858,2.7100000381469727,33.46037292480469 +1980,34,0.8299978375434875,MVA,15-17 yrs,87,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,21.14128875732422 +1980,34,0.8299978375434875,suicide,15-17 yrs,15,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,3.645049810409546 +1980,34,0.8299978375434875,homicide,15-17 yrs,25,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,6.075083255767822 +1980,34,0.8299978375434875,other external,15-17 yrs,49,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.9071626663208 +1980,34,0.8299978375434875,internal,15-17 yrs,57,411517,16.01235580444336,0,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,13.851189613342285 +1980,34,0.8299978375434875,all,18-20 yrs,402,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,104.27149963378906 +1980,34,0.8299978375434875,MVA,18-20 yrs,163,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,42.279239654541016 +1980,34,0.8299978375434875,suicide,18-20 yrs,44,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.412800788879395 +1980,34,0.8299978375434875,homicide,18-20 yrs,40,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,10.375273704528809 +1980,34,0.8299978375434875,other external,18-20 yrs,61,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,15.82229232788086 +1980,34,0.8299978375434875,internal,18-20 yrs,94,385532,18.98618507385254,0.8299978375434875,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,24.381893157958984 +1980,34,0.8299978375434875,all,21-24 yrs,531,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,108.15214538574219 +1980,34,0.8299978375434875,MVA,21-24 yrs,166,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,33.81027603149414 +1980,34,0.8299978375434875,suicide,21-24 yrs,64,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,13.035286903381348 +1980,34,0.8299978375434875,homicide,21-24 yrs,57,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,11.609552383422852 +1980,34,0.8299978375434875,other external,21-24 yrs,77,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,15.683079719543457 +1980,34,0.8299978375434875,internal,21-24 yrs,167,490975,22.49715805053711,1,0.040048543363809586,1.2300000190734863,0.4699999988079071,1.1299999952316284,2.8299999237060547,34.01395034790039 +1981,34,0.6595242619514465,MVA,15-17 yrs,100,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,25.034421920776367 +1981,34,0.6595242619514465,suicide,15-17 yrs,12,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,3.0041306018829346 +1981,34,0.6595242619514465,homicide,15-17 yrs,20,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,5.006884574890137 +1981,34,0.6595242619514465,other external,15-17 yrs,20,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,5.006884574890137 +1981,34,0.6595242619514465,internal,15-17 yrs,49,399450,16.0271053314209,0,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,12.266866683959961 +1981,34,0.6595242619514465,all,18-20 yrs,360,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,90.580169677734375 +1981,34,0.6595242619514465,MVA,18-20 yrs,162,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,40.76107406616211 +1981,34,0.6595242619514465,suicide,18-20 yrs,29,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,7.296735763549805 +1981,34,0.6595242619514465,homicide,18-20 yrs,46,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,11.574131965637207 +1981,34,0.6595242619514465,other external,18-20 yrs,55,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,13.83863639831543 +1981,34,0.6595242619514465,internal,18-20 yrs,68,397438,18.9821834564209,0.6595242619514465,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,17.109586715698242 +1981,34,0.6595242619514465,all,21-24 yrs,475,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,96.74351501464844 +1981,34,0.6595242619514465,MVA,21-24 yrs,140,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,28.513877868652344 +1981,34,0.6595242619514465,suicide,21-24 yrs,53,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,10.794539451599121 +1981,34,0.6595242619514465,homicide,21-24 yrs,69,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,14.053268432617188 +1981,34,0.6595242619514465,other external,21-24 yrs,89,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,18.126678466796875 +1981,34,0.6595242619514465,internal,21-24 yrs,124,490989,22.514436721801758,1,0.036303628236055374,1.2200000286102295,0.5099999904632568,1.149999976158142,2.869999885559082,25.25514793395996 +1982,34,0.6682873964309692,MVA,15-17 yrs,77,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,20.108219146728516 +1982,34,0.6682873964309692,suicide,15-17 yrs,16,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,4.17833137512207 +1982,34,0.6682873964309692,homicide,15-17 yrs,18,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,4.70062255859375 +1982,34,0.6682873964309692,other external,15-17 yrs,26,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,6.789788246154785 +1982,34,0.6682873964309692,internal,15-17 yrs,48,382928,16.02984619140625,0,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.534993171691895 +1982,34,0.6682873964309692,all,18-20 yrs,317,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,78.47875213623047 +1982,34,0.6682873964309692,MVA,18-20 yrs,140,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,34.659385681152344 +1982,34,0.6682873964309692,suicide,18-20 yrs,29,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,7.179443836212158 +1982,34,0.6682873964309692,homicide,18-20 yrs,42,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,10.397815704345703 +1982,34,0.6682873964309692,other external,18-20 yrs,36,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,8.912413597106934 +1982,34,0.6682873964309692,internal,18-20 yrs,70,403931,18.99373435974121,0.6682873964309692,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,17.329692840576172 +1982,34,0.6682873964309692,all,21-24 yrs,488,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,99.54186248779297 +1982,34,0.6682873964309692,MVA,21-24 yrs,146,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,29.780967712402344 +1982,34,0.6682873964309692,suicide,21-24 yrs,54,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,11.014878273010254 +1982,34,0.6682873964309692,homicide,21-24 yrs,61,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.442732810974121 +1982,34,0.6682873964309692,other external,21-24 yrs,61,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,12.442732810974121 +1982,34,0.6682873964309692,internal,21-24 yrs,166,490246,22.500240325927734,1,0.0341968908905983,1.2200000286102295,0.5199999809265137,1.1299999952316284,2.869999885559082,33.86054992675781 +1983,34,0.5085621476173401,MVA,15-17 yrs,58,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,15.761683464050293 +1983,34,0.5085621476173401,suicide,15-17 yrs,13,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,3.5327911376953125 +1983,34,0.5085621476173401,homicide,15-17 yrs,19,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,5.1633100509643555 +1983,34,0.5085621476173401,other external,15-17 yrs,28,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,7.60908842086792 +1983,34,0.5085621476173401,internal,15-17 yrs,44,367981,16.02837371826172,0,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,11.957139015197754 +1983,34,0.5085621476173401,all,18-20 yrs,293,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,72.837738037109375 +1983,34,0.5085621476173401,MVA,18-20 yrs,113,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.091005325317383 +1983,34,0.5085621476173401,suicide,18-20 yrs,30,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,7.457788944244385 +1983,34,0.5085621476173401,homicide,18-20 yrs,33,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,8.2035675048828125 +1983,34,0.5085621476173401,other external,18-20 yrs,43,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,10.689496994018555 +1983,34,0.5085621476173401,internal,18-20 yrs,74,402264,19.018056869506836,0.5085621476173401,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,18.3958797454834 +1983,34,0.5085621476173401,all,21-24 yrs,442,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,89.365142822265625 +1983,34,0.5085621476173401,MVA,21-24 yrs,142,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.71006965637207 +1983,34,0.5085621476173401,suicide,21-24 yrs,47,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,9.502628326416016 +1983,34,0.5085621476173401,homicide,21-24 yrs,47,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,9.502628326416016 +1983,34,0.5085621476173401,other external,21-24 yrs,63,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,12.737565994262695 +1983,34,0.5085621476173401,internal,21-24 yrs,143,494600,22.480690002441406,1,0.03313253074884415,1.2100000381469727,0.5199999809265137,1.1299999952316284,2.859999895095825,28.91225242614746 +1984,34,0.17286482453346252,MVA,15-17 yrs,60,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,16.66189956665039 +1984,34,0.17286482453346252,suicide,15-17 yrs,21,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,5.8316650390625 +1984,34,0.17286482453346252,homicide,15-17 yrs,15,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,4.165474891662598 +1984,34,0.17286482453346252,other external,15-17 yrs,37,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.2748384475708 +1984,34,0.17286482453346252,internal,15-17 yrs,40,360103,16.016698837280273,0,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,11.107933044433594 +1984,34,0.17286482453346252,all,18-20 yrs,272,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,69.73893737792969 +1984,34,0.17286482453346252,MVA,18-20 yrs,105,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,26.921281814575195 +1984,34,0.17286482453346252,suicide,18-20 yrs,22,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,5.640649795532227 +1984,34,0.17286482453346252,homicide,18-20 yrs,34,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,8.717367172241211 +1984,34,0.17286482453346252,other external,18-20 yrs,41,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.51211929321289 +1984,34,0.17286482453346252,internal,18-20 yrs,70,390026,19.031505584716797,0.17286482453346252,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,17.947521209716797 +1984,34,0.17286482453346252,all,21-24 yrs,406,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,80.1626968383789 +1984,34,0.17286482453346252,MVA,21-24 yrs,126,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,24.87807846069336 +1984,34,0.17286482453346252,suicide,21-24 yrs,51,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.069698333740234 +1984,34,0.17286482453346252,homicide,21-24 yrs,56,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,11.056923866271973 +1984,34,0.17286482453346252,other external,21-24 yrs,53,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,10.464588165283203 +1984,34,0.17286482453346252,internal,21-24 yrs,120,506470,22.463687896728516,1,0.03176130726933479,1.190000057220459,0.550000011920929,1.100000023841858,2.8299999237060547,23.69340705871582 +1985,34,0,MVA,15-17 yrs,52,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,14.537769317626953 +1985,34,0,suicide,15-17 yrs,14,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,3.9140145778656006 +1985,34,0,homicide,15-17 yrs,11,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,3.0752973556518555 +1985,34,0,other external,15-17 yrs,31,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.666747093200684 +1985,34,0,internal,15-17 yrs,49,357689,16.002605438232422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,13.699051856994629 +1985,34,0,all,18-20 yrs,264,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,70.72306060791016 +1985,34,0,MVA,18-20 yrs,101,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,27.056928634643555 +1985,34,0,suicide,18-20 yrs,32,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.572492599487305 +1985,34,0,homicide,18-20 yrs,37,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,9.911944389343262 +1985,34,0,other external,18-20 yrs,32,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.572492599487305 +1985,34,0,internal,18-20 yrs,62,373287,19.03142547607422,0,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,16.609203338623047 +1985,34,0,all,21-24 yrs,411,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,79.34776306152344 +1985,34,0,MVA,21-24 yrs,120,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,23.1672306060791 +1985,34,0,suicide,21-24 yrs,50,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,9.653013229370117 +1985,34,0,homicide,21-24 yrs,44,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,8.494650840759277 +1985,34,0,other external,21-24 yrs,60,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,11.58361530303955 +1985,34,0,internal,21-24 yrs,137,517973,22.478689193725586,1,0.03066914528608322,1.1799999475479126,0.550000011920929,1.0800000429153442,2.809999942779541,26.449254989624023 +1986,34,0,MVA,15-17 yrs,69,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,19.223697662353516 +1986,34,0,suicide,15-17 yrs,16,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,4.457668781280518 +1986,34,0,homicide,15-17 yrs,19,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,5.293481826782227 +1986,34,0,other external,15-17 yrs,21,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,5.8506903648376465 +1986,34,0,internal,15-17 yrs,41,358932,16.00490951538086,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,11.422776222229004 +1986,34,0,all,18-20 yrs,248,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,69.32777404785156 +1986,34,0,MVA,18-20 yrs,96,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,26.836557388305664 +1986,34,0,suicide,18-20 yrs,30,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.38642406463623 +1986,34,0,homicide,18-20 yrs,30,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.38642406463623 +1986,34,0,other external,18-20 yrs,35,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,9.784161567687988 +1986,34,0,internal,18-20 yrs,57,357721,19.027734756469727,0,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,15.934206008911133 +1986,34,0,all,21-24 yrs,460,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,88.11653137207031 +1986,34,0,MVA,21-24 yrs,134,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,25.66872787475586 +1986,34,0,suicide,21-24 yrs,45,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,8.620095252990723 +1986,34,0,homicide,21-24 yrs,54,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,10.344114303588867 +1986,34,0,other external,21-24 yrs,58,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,11.110344886779785 +1986,34,0,internal,21-24 yrs,169,522036,22.510560989379883,1,0.03010948933660984,1.1799999475479126,0.5600000023841858,1.0299999713897705,2.7699999809265137,32.37324523925781 +1987,34,0,MVA,15-17 yrs,64,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,18.42612075805664 +1987,34,0,suicide,15-17 yrs,12,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,3.45489764213562 +1987,34,0,homicide,15-17 yrs,17,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,4.89443826675415 +1987,34,0,other external,15-17 yrs,25,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.197703838348389 +1987,34,0,internal,15-17 yrs,41,347333,16.04474639892578,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,11.80423355102539 +1987,34,0,all,18-20 yrs,245,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,70.574066162109375 +1987,34,0,MVA,18-20 yrs,99,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,28.517684936523438 +1987,34,0,suicide,18-20 yrs,26,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.489492893218994 +1987,34,0,homicide,18-20 yrs,27,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.77755069732666 +1987,34,0,other external,18-20 yrs,29,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,8.353665351867676 +1987,34,0,internal,18-20 yrs,64,347153,19.01527214050293,0,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,18.4356746673584 +1987,34,0,all,21-24 yrs,442,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,85.89946746826172 +1987,34,0,MVA,21-24 yrs,124,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,24.098493576049805 +1987,34,0,suicide,21-24 yrs,50,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,9.717134475708008 +1987,34,0,homicide,21-24 yrs,38,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,7.385022163391113 +1987,34,0,other external,21-24 yrs,46,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,8.939763069152832 +1987,34,0,internal,21-24 yrs,184,514555,22.546768188476562,1,0.02904929593205452,1.1799999475479126,0.5400000214576721,1.0099999904632568,2.7200000286102295,35.75905227661133 +1988,34,0,MVA,15-17 yrs,65,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,19.864858627319336 +1988,34,0,suicide,15-17 yrs,13,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,3.9729716777801514 +1988,34,0,homicide,15-17 yrs,20,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,6.112264156341553 +1988,34,0,other external,15-17 yrs,13,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,3.9729716777801514 +1988,34,0,internal,15-17 yrs,55,327211,16.068578720092773,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,16.808725357055664 +1988,34,0,all,18-20 yrs,288,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,84.11534118652344 +1988,34,0,MVA,18-20 yrs,111,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,32.419456481933594 +1988,34,0,suicide,18-20 yrs,25,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,7.3016791343688965 +1988,34,0,homicide,18-20 yrs,43,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,12.55888843536377 +1988,34,0,other external,18-20 yrs,26,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,7.593746185302734 +1988,34,0,internal,18-20 yrs,83,342387,19.00057601928711,0,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,24.241575241088867 +1988,34,0,all,21-24 yrs,456,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,91.54420471191406 +1988,34,0,MVA,21-24 yrs,139,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,27.904922485351562 +1988,34,0,suicide,21-24 yrs,46,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,9.234722137451172 +1988,34,0,homicide,21-24 yrs,46,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,9.234722137451172 +1988,34,0,other external,21-24 yrs,60,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,12.045289993286133 +1988,34,0,internal,21-24 yrs,165,498120,22.56089210510254,1,0.027895180508494377,1.149999976158142,0.5099999904632568,0.9300000071525574,2.5799999237060547,33.124549865722656 +1989,34,0,MVA,15-17 yrs,39,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,12.860379219055176 +1989,34,0,suicide,15-17 yrs,7,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,2.3082730770111084 +1989,34,0,homicide,15-17 yrs,22,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,7.254572868347168 +1989,34,0,other external,15-17 yrs,24,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,7.914079666137695 +1989,34,0,internal,15-17 yrs,47,303257,16.041622161865234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,15.498405456542969 +1989,34,0,all,18-20 yrs,229,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,67.555206298828125 +1989,34,0,MVA,18-20 yrs,79,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,23.305072784423828 +1989,34,0,suicide,18-20 yrs,30,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.850027084350586 +1989,34,0,homicide,18-20 yrs,33,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,9.735030174255371 +1989,34,0,other external,18-20 yrs,21,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,6.195019245147705 +1989,34,0,internal,18-20 yrs,66,338982,19.002071380615234,0,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,19.470060348510742 +1989,34,0,all,21-24 yrs,395,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,83.13811492919922 +1989,34,0,MVA,21-24 yrs,86,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,18.1009578704834 +1989,34,0,suicide,21-24 yrs,39,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.208573341369629 +1989,34,0,homicide,21-24 yrs,63,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,13.260003089904785 +1989,34,0,other external,21-24 yrs,39,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,8.208573341369629 +1989,34,0,internal,21-24 yrs,168,475113,22.56143569946289,1,0.02661290392279625,1.1299999952316284,0.5,0.9599999785423279,2.5899999141693115,35.360008239746094 +1990,34,0,MVA,15-17 yrs,50,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,17.07166290283203 +1990,34,0,suicide,15-17 yrs,9,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,3.072899341583252 +1990,34,0,homicide,15-17 yrs,20,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,6.828665256500244 +1990,34,0,other external,15-17 yrs,18,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,6.145798683166504 +1990,34,0,internal,15-17 yrs,33,292883,16.01715660095215,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,11.267297744750977 +1990,34,0,all,18-20 yrs,206,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,62.73583221435547 +1990,34,0,MVA,18-20 yrs,70,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,21.31800079345703 +1990,34,0,suicide,18-20 yrs,19,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,5.786314487457275 +1990,34,0,homicide,18-20 yrs,24,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.309028625488281 +1990,34,0,other external,18-20 yrs,24,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.309028625488281 +1990,34,0,internal,18-20 yrs,69,328361,19.03657341003418,0,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,21.013458251953125 +1990,34,0,all,21-24 yrs,377,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,82.85350036621094 +1990,34,0,MVA,21-24 yrs,101,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,22.196826934814453 +1990,34,0,suicide,21-24 yrs,36,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.911740303039551 +1990,34,0,homicide,21-24 yrs,59,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,12.966463088989258 +1990,34,0,other external,21-24 yrs,32,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,7.032658100128174 +1990,34,0,internal,21-24 yrs,149,455020,22.54656219482422,1,0.07651109993457794,1.149999976158142,0.47999998927116394,0.949999988079071,2.5799999237060547,32.74581527709961 +1991,34,0,MVA,15-17 yrs,37,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,12.825623512268066 +1991,34,0,suicide,15-17 yrs,6,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,2.0798308849334717 +1991,34,0,homicide,15-17 yrs,18,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,6.239492416381836 +1991,34,0,other external,15-17 yrs,24,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,8.319323539733887 +1991,34,0,internal,15-17 yrs,49,288485,16.012662887573242,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,16.98528480529785 +1991,34,0,all,18-20 yrs,207,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,65.69426727294922 +1991,34,0,MVA,18-20 yrs,47,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,14.916089057922363 +1991,34,0,suicide,18-20 yrs,25,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,7.9340901374816895 +1991,34,0,homicide,18-20 yrs,32,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,10.155634880065918 +1991,34,0,other external,18-20 yrs,31,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,9.838271141052246 +1991,34,0,internal,18-20 yrs,72,315096,19.038772583007812,0,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,22.85017967224121 +1991,34,0,all,21-24 yrs,319,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,73.17571258544922 +1991,34,0,MVA,21-24 yrs,70,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,16.05736541748047 +1991,34,0,suicide,21-24 yrs,24,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,5.505382537841797 +1991,34,0,homicide,21-24 yrs,53,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,12.157719612121582 +1991,34,0,other external,21-24 yrs,39,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,8.946247100830078 +1991,34,0,internal,21-24 yrs,133,435937,22.520875930786133,1,0.07342144101858139,1.090000033378601,0.4300000071525574,0.8199999928474426,2.3399999141693115,30.508995056152344 +1992,34,0,MVA,15-17 yrs,55,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,18.872068405151367 +1992,34,0,suicide,15-17 yrs,14,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,4.803799152374268 +1992,34,0,homicide,15-17 yrs,29,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,9.950726509094238 +1992,34,0,other external,15-17 yrs,17,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,5.833184719085693 +1992,34,0,internal,15-17 yrs,38,291436,16.000635147094727,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,13.038883209228516 +1992,34,0,all,18-20 yrs,185,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,61.24631118774414 +1992,34,0,MVA,18-20 yrs,54,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,17.877302169799805 +1992,34,0,suicide,18-20 yrs,16,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,5.29697847366333 +1992,34,0,homicide,18-20 yrs,35,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,11.587140083312988 +1992,34,0,other external,18-20 yrs,26,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,8.6075897216796875 +1992,34,0,internal,18-20 yrs,54,302059,19.02925682067871,0,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,17.877302169799805 +1992,34,0,all,21-24 yrs,356,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,84.237823486328125 +1992,34,0,MVA,21-24 yrs,79,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,18.693225860595703 +1992,34,0,suicide,21-24 yrs,34,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,8.045185089111328 +1992,34,0,homicide,21-24 yrs,50,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,11.831154823303223 +1992,34,0,other external,21-24 yrs,32,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,7.571939468383789 +1992,34,0,internal,21-24 yrs,161,422613,22.499412536621094,1,0.08553100377321243,1.0700000524520874,0.4399999976158142,0.8299999833106995,2.3399999141693115,38.09632110595703 +1993,34,0,MVA,15-17 yrs,42,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,14.297532081604004 +1993,34,0,suicide,15-17 yrs,13,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,4.425426483154297 +1993,34,0,homicide,15-17 yrs,21,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,7.148766040802002 +1993,34,0,other external,15-17 yrs,17,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,5.78709602355957 +1993,34,0,internal,15-17 yrs,35,293757,15.989004135131836,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,11.914609909057617 +1993,34,0,all,18-20 yrs,207,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,69.80579376220703 +1993,34,0,MVA,18-20 yrs,57,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,19.22188377380371 +1993,34,0,suicide,18-20 yrs,28,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,9.442329406738281 +1993,34,0,homicide,18-20 yrs,43,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,14.500720024108887 +1993,34,0,other external,18-20 yrs,24,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,8.093424797058105 +1993,34,0,internal,18-20 yrs,55,296537,19.01819610595703,0,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,18.54743194580078 +1993,34,0,all,21-24 yrs,346,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,84.2300033569336 +1993,34,0,MVA,21-24 yrs,66,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,16.066993713378906 +1993,34,0,suicide,21-24 yrs,31,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,7.546618461608887 +1993,34,0,homicide,21-24 yrs,53,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,12.902283668518066 +1993,34,0,other external,21-24 yrs,43,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,10.467890739440918 +1993,34,0,internal,21-24 yrs,153,410780,22.513919830322266,1,0.08304498344659805,1.0700000524520874,0.41999998688697815,0.7900000214576721,2.2899999618530273,37.2462158203125 +1994,34,0,MVA,15-17 yrs,38,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,12.651864051818848 +1994,34,0,suicide,15-17 yrs,8,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,2.66355037689209 +1994,34,0,homicide,15-17 yrs,28,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,9.322425842285156 +1994,34,0,other external,15-17 yrs,18,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,5.992988109588623 +1994,34,0,internal,15-17 yrs,40,300351,15.990687370300293,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.31775188446045 +1994,34,0,all,18-20 yrs,166,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,57.083316802978516 +1994,34,0,MVA,18-20 yrs,56,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,19.257022857666016 +1994,34,0,suicide,18-20 yrs,11,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,3.7826294898986816 +1994,34,0,homicide,18-20 yrs,38,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.067265510559082 +1994,34,0,other external,18-20 yrs,22,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,7.565258979797363 +1994,34,0,internal,18-20 yrs,39,290803,19.016124725341797,0,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.411140441894531 +1994,34,0,all,21-24 yrs,346,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,86.512542724609375 +1994,34,0,MVA,21-24 yrs,78,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,19.50282859802246 +1994,34,0,suicide,21-24 yrs,45,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,11.251631736755371 +1994,34,0,homicide,21-24 yrs,53,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,13.251921653747559 +1994,34,0,other external,21-24 yrs,47,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,11.751704216003418 +1994,34,0,internal,21-24 yrs,123,399942,22.529376983642578,1,0.08097165822982788,1.0399999618530273,0.4300000071525574,0.7900000214576721,2.2699999809265137,30.754459381103516 +1995,34,0,MVA,15-17 yrs,45,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,14.700406074523926 +1995,34,0,suicide,15-17 yrs,19,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,6.206838130950928 +1995,34,0,homicide,15-17 yrs,21,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,6.860189437866211 +1995,34,0,other external,15-17 yrs,13,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,4.24678373336792 +1995,34,0,internal,15-17 yrs,46,306114,15.978443145751953,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,15.027081489562988 +1995,34,0,all,18-20 yrs,184,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,63.04695129394531 +1995,34,0,MVA,18-20 yrs,54,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,18.50290870666504 +1995,34,0,suicide,18-20 yrs,22,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,7.538222312927246 +1995,34,0,homicide,18-20 yrs,35,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,11.992626190185547 +1995,34,0,other external,18-20 yrs,25,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,8.566161155700684 +1995,34,0,internal,18-20 yrs,48,291846,19.00739860534668,0,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,16.447031021118164 +1995,34,0,all,21-24 yrs,301,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,77.84918975830078 +1995,34,0,MVA,21-24 yrs,65,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,16.81128692626953 +1995,34,0,suicide,21-24 yrs,38,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,9.828137397766113 +1995,34,0,homicide,21-24 yrs,67,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,17.32855796813965 +1995,34,0,other external,21-24 yrs,44,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,11.379947662353516 +1995,34,0,internal,21-24 yrs,87,386645,22.53049087524414,1,0.07874015718698502,1.0299999713897705,0.4399999976158142,0.75,2.2200000286102295,22.50126075744629 +1996,34,0,MVA,15-17 yrs,41,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.237336158752441 +1996,34,0,suicide,15-17 yrs,11,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,3.551480293273926 +1996,34,0,homicide,15-17 yrs,23,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,7.4258222579956055 +1996,34,0,other external,15-17 yrs,14,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,4.520065784454346 +1996,34,0,internal,15-17 yrs,41,309730,15.99007511138916,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.237336158752441 +1996,34,0,all,18-20 yrs,198,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,67.74813079833984 +1996,34,0,MVA,18-20 yrs,51,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.450275421142578 +1996,34,0,suicide,18-20 yrs,14,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,4.790271759033203 +1996,34,0,homicide,18-20 yrs,52,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.792436599731445 +1996,34,0,other external,18-20 yrs,31,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.607029914855957 +1996,34,0,internal,18-20 yrs,50,292259,18.998741149902344,0,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,17.108112335205078 +1996,34,0,all,21-24 yrs,298,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,79.214447021484375 +1996,34,0,MVA,21-24 yrs,80,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,21.265623092651367 +1996,34,0,suicide,21-24 yrs,38,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.101171493530273 +1996,34,0,homicide,21-24 yrs,52,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,13.82265567779541 +1996,34,0,other external,21-24 yrs,39,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,10.36699104309082 +1996,34,0,internal,21-24 yrs,89,376194,22.507658004760742,1,0.07648183405399323,1,0.4399999976158142,0.7599999904632568,2.200000047683716,23.65800666809082 +1970,35,0,MVA,15-17 yrs,39,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,57.665863037109375 +1970,35,0,suicide,15-17 yrs,10,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,14.786118507385254 +1970,35,0,homicide,15-17 yrs,5,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,7.393059253692627 +1970,35,0,other external,15-17 yrs,19,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,28.093626022338867 +1970,35,0,internal,15-17 yrs,29,67631,15.974434852600098,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,42.87974548339844 +1970,35,0,all,18-20 yrs,118,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,213.04638671875 +1970,35,0,MVA,18-20 yrs,61,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,110.13414764404297 +1970,35,0,suicide,18-20 yrs,5,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,9.0273895263671875 +1970,35,0,homicide,18-20 yrs,6,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,10.832866668701172 +1970,35,0,other external,18-20 yrs,22,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,39.72051239013672 +1970,35,0,internal,18-20 yrs,24,55387,18.960477828979492,0,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,43.33146667480469 +1970,35,0,all,21-24 yrs,180,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,276.501953125 +1970,35,0,MVA,21-24 yrs,83,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,127.49811553955078 +1970,35,0,suicide,21-24 yrs,20,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,30.72243881225586 +1970,35,0,homicide,21-24 yrs,7,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,10.752853393554688 +1970,35,0,other external,21-24 yrs,39,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,59.908756256103516 +1970,35,0,internal,21-24 yrs,31,65099,22.398807525634766,1,0.20618556439876556,1.2000000476837158,0.36000001430511475,0.9800000190734863,2.5399999618530273,47.61977767944336 +1971,35,0,MVA,15-17 yrs,53,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,74.7479019165039 +1971,35,0,suicide,15-17 yrs,4,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,5.641351222991943 +1971,35,0,homicide,15-17 yrs,3,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,4.231013298034668 +1971,35,0,other external,15-17 yrs,14,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,19.744728088378906 +1971,35,0,internal,15-17 yrs,19,70905,15.984782218933105,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,26.796417236328125 +1971,35,0,all,18-20 yrs,146,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,241.8820343017578 +1971,35,0,MVA,18-20 yrs,74,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,122.59774780273438 +1971,35,0,suicide,18-20 yrs,11,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,18.223989486694336 +1971,35,0,homicide,18-20 yrs,17,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,28.16434669494629 +1971,35,0,other external,18-20 yrs,27,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,44.73160934448242 +1971,35,0,internal,18-20 yrs,17,60360,18.953413009643555,0,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,28.16434669494629 +1971,35,0,all,21-24 yrs,167,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,233.38038635253906 +1971,35,0,MVA,21-24 yrs,70,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,97.82411193847656 +1971,35,0,suicide,21-24 yrs,19,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,26.55225944519043 +1971,35,0,homicide,21-24 yrs,16,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,22.35979652404785 +1971,35,0,other external,21-24 yrs,29,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,40.52713394165039 +1971,35,0,internal,21-24 yrs,33,71557,22.53041648864746,1,0.1975308656692505,1.2599999904632568,0.3799999952316284,0.9399999976158142,2.5799999237060547,46.11708068847656 +1972,35,0,MVA,15-17 yrs,44,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,59.98064422607422 +1972,35,0,suicide,15-17 yrs,6,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,8.179178237915039 +1972,35,0,homicide,15-17 yrs,4,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,5.452785491943359 +1972,35,0,other external,15-17 yrs,18,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,24.537534713745117 +1972,35,0,internal,15-17 yrs,14,73357,15.977029800415039,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.084749221801758 +1972,35,0,all,18-20 yrs,120,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,186.84022521972656 +1972,35,0,MVA,18-20 yrs,48,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,74.73609161376953 +1972,35,0,suicide,18-20 yrs,14,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,21.798025131225586 +1972,35,0,homicide,18-20 yrs,14,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,21.798025131225586 +1972,35,0,other external,18-20 yrs,20,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,31.140037536621094 +1972,35,0,internal,18-20 yrs,24,64226,18.965465545654297,0,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,37.368045806884766 +1972,35,0,all,21-24 yrs,166,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,230.49473571777344 +1972,35,0,MVA,21-24 yrs,78,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,108.30475616455078 +1972,35,0,suicide,21-24 yrs,14,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.439313888549805 +1972,35,0,homicide,21-24 yrs,14,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,19.439313888549805 +1972,35,0,other external,21-24 yrs,32,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,44.43272018432617 +1972,35,0,internal,21-24 yrs,28,72019,22.493494033813477,1,0.19138756394386292,1.3799999952316284,0.3499999940395355,0.9800000190734863,2.700000047683716,38.87862777709961 +1973,35,0,MVA,15-17 yrs,49,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,64.8534164428711 +1973,35,0,suicide,15-17 yrs,10,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,13.235391616821289 +1973,35,0,homicide,15-17 yrs,2,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,2.647078275680542 +1973,35,0,other external,15-17 yrs,25,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,33.088478088378906 +1973,35,0,internal,15-17 yrs,19,75555,15.981986999511719,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,25.14724349975586 +1973,35,0,all,18-20 yrs,158,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,233.84889221191406 +1973,35,0,MVA,18-20 yrs,77,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,113.9643325805664 +1973,35,0,suicide,18-20 yrs,15,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,22.200843811035156 +1973,35,0,homicide,18-20 yrs,14,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,20.720787048339844 +1973,35,0,other external,18-20 yrs,32,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,47.36180114746094 +1973,35,0,internal,18-20 yrs,20,67565,18.978376388549805,0,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,29.601125717163086 +1973,35,0,all,21-24 yrs,203,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,271.5028991699219 +1973,35,0,MVA,21-24 yrs,87,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,116.35838317871094 +1973,35,0,suicide,21-24 yrs,18,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,24.074148178100586 +1973,35,0,homicide,21-24 yrs,28,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,37.44867706298828 +1973,35,0,other external,21-24 yrs,31,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,41.46103286743164 +1973,35,0,internal,21-24 yrs,39,74769,22.459962844848633,1,0.18018017709255219,1.3700000047683716,0.33000001311302185,0.949999988079071,2.6500000953674316,52.1606559753418 +1974,35,0,MVA,15-17 yrs,50,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,64.23597717285156 +1974,35,0,suicide,15-17 yrs,11,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,14.131915092468262 +1974,35,0,homicide,15-17 yrs,6,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,7.708317279815674 +1974,35,0,other external,15-17 yrs,19,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,24.409671783447266 +1974,35,0,internal,15-17 yrs,21,77838,15.992034912109375,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,26.979110717773438 +1974,35,0,all,18-20 yrs,160,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,231.58200073242188 +1974,35,0,MVA,18-20 yrs,71,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,102.76451110839844 +1974,35,0,suicide,18-20 yrs,23,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,33.289913177490234 +1974,35,0,homicide,18-20 yrs,11,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,15.92126178741455 +1974,35,0,other external,18-20 yrs,23,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,33.289913177490234 +1974,35,0,internal,18-20 yrs,32,69090,18.984817504882812,0,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,46.31639862060547 +1974,35,0,all,21-24 yrs,201,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,260.268310546875 +1974,35,0,MVA,21-24 yrs,82,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,106.17910766601562 +1974,35,0,suicide,21-24 yrs,18,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,23.30760955810547 +1974,35,0,homicide,21-24 yrs,13,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,16.83327293395996 +1974,35,0,other external,21-24 yrs,33,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,42.73061752319336 +1974,35,0,internal,21-24 yrs,55,77228,22.429262161254883,1,0.16227179765701294,1.5399999618530273,0.33000001311302185,0.9800000190734863,2.8399999141693115,71.21768951416016 +1975,35,0,MVA,15-17 yrs,46,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,57.750492095947266 +1975,35,0,suicide,15-17 yrs,10,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,12.554454803466797 +1975,35,0,homicide,15-17 yrs,7,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,8.788118362426758 +1975,35,0,other external,15-17 yrs,21,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.364355087280273 +1975,35,0,internal,15-17 yrs,21,79653,15.983654022216797,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.364355087280273 +1975,35,0,all,18-20 yrs,147,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,205.3531494140625 +1975,35,0,MVA,18-20 yrs,69,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,96.39025115966797 +1975,35,0,suicide,18-20 yrs,18,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,25.14528465270996 +1975,35,0,homicide,18-20 yrs,14,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,19.557443618774414 +1975,35,0,other external,18-20 yrs,25,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,34.92400360107422 +1975,35,0,internal,18-20 yrs,21,71584,18.978179931640625,0,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,29.336164474487305 +1975,35,0,all,21-24 yrs,173,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,209.9998779296875 +1975,35,0,MVA,21-24 yrs,73,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,88.61266326904297 +1975,35,0,suicide,21-24 yrs,22,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,26.70518684387207 +1975,35,0,homicide,21-24 yrs,25,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,30.346803665161133 +1975,35,0,other external,21-24 yrs,21,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,25.491313934326172 +1975,35,0,internal,21-24 yrs,32,82381,22.4285945892334,1,0.14869888126850128,1.5,0.3499999940395355,1,2.8499999046325684,38.84390640258789 +1976,35,0,MVA,15-17 yrs,65,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,79.54476165771484 +1976,35,0,suicide,15-17 yrs,11,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,13.461421012878418 +1976,35,0,homicide,15-17 yrs,6,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,7.342593193054199 +1976,35,0,other external,15-17 yrs,21,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,25.69907569885254 +1976,35,0,internal,15-17 yrs,11,81715,15.981826782226562,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,13.461421012878418 +1976,35,0,all,18-20 yrs,113,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,153.48464965820312 +1976,35,0,MVA,18-20 yrs,59,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,80.13800048828125 +1976,35,0,suicide,18-20 yrs,11,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,14.940982818603516 +1976,35,0,homicide,18-20 yrs,16,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,21.73233985900879 +1976,35,0,other external,18-20 yrs,9,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,12.224440574645996 +1976,35,0,internal,18-20 yrs,18,73623,18.984582901000977,0,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,24.448881149291992 +1976,35,0,all,21-24 yrs,215,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,246.09115600585938 +1976,35,0,MVA,21-24 yrs,86,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,98.43646240234375 +1976,35,0,suicide,21-24 yrs,38,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,43.495182037353516 +1976,35,0,homicide,21-24 yrs,10,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,11.446100234985352 +1976,35,0,other external,21-24 yrs,43,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,49.218231201171875 +1976,35,0,internal,21-24 yrs,38,87366,22.448549270629883,1,0.14059753715991974,1.559999942779541,0.3400000035762787,0.9800000190734863,2.880000114440918,43.495182037353516 +1977,35,0,MVA,15-17 yrs,62,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,75.22080993652344 +1977,35,0,suicide,15-17 yrs,17,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.62506103515625 +1977,35,0,homicide,15-17 yrs,5,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,6.066194534301758 +1977,35,0,other external,15-17 yrs,22,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,26.691255569458008 +1977,35,0,internal,15-17 yrs,17,82424,15.997391700744629,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.62506103515625 +1977,35,0,all,18-20 yrs,151,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,201.44076538085938 +1977,35,0,MVA,18-20 yrs,85,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,113.39380645751953 +1977,35,0,suicide,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,homicide,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,other external,18-20 yrs,15,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,20.010671615600586 +1977,35,0,internal,18-20 yrs,21,74960,18.997304916381836,0,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,28.014942169189453 +1977,35,0,all,21-24 yrs,193,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,211.88766479492188 +1977,35,0,MVA,21-24 yrs,92,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,101.00344848632812 +1977,35,0,suicide,21-24 yrs,40,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,43.91454315185547 +1977,35,0,homicide,21-24 yrs,14,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,15.370089530944824 +1977,35,0,other external,21-24 yrs,21,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,23.055133819580078 +1977,35,0,internal,21-24 yrs,26,91086,22.465967178344727,1,0.132013201713562,1.649999976158142,0.3199999928474426,0.9599999785423279,2.930000066757202,28.544452667236328 +1978,35,0,MVA,15-17 yrs,39,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,47.776554107666016 +1978,35,0,suicide,15-17 yrs,8,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,9.800318717956543 +1978,35,0,homicide,15-17 yrs,9,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,11.025358200073242 +1978,35,0,other external,15-17 yrs,9,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,11.025358200073242 +1978,35,0,internal,15-17 yrs,11,81630,16.006271362304688,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,13.475438117980957 +1978,35,0,all,18-20 yrs,152,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,201.62628173828125 +1978,35,0,MVA,18-20 yrs,81,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,107.4455795288086 +1978,35,0,suicide,18-20 yrs,16,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,21.223817825317383 +1978,35,0,homicide,18-20 yrs,17,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,22.55030632019043 +1978,35,0,other external,18-20 yrs,20,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,26.529773712158203 +1978,35,0,internal,18-20 yrs,18,75387,18.989665985107422,0,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,23.876794815063477 +1978,35,0,all,21-24 yrs,241,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,256.7599182128906 +1978,35,0,MVA,21-24 yrs,113,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,120.38951110839844 +1978,35,0,suicide,21-24 yrs,30,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,31.961816787719727 +1978,35,0,homicide,21-24 yrs,23,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,24.504058837890625 +1978,35,0,other external,21-24 yrs,39,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,41.55036163330078 +1978,35,0,internal,21-24 yrs,36,93862,22.467985153198242,1,0.12269938737154007,1.6799999475479126,0.3199999928474426,0.9800000190734863,2.990000009536743,38.35417938232422 +1979,35,0,MVA,15-17 yrs,47,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,57.57828140258789 +1979,35,0,suicide,15-17 yrs,11,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,13.475768089294434 +1979,35,0,homicide,15-17 yrs,7,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,8.575489044189453 +1979,35,0,other external,15-17 yrs,13,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,15.925908088684082 +1979,35,0,internal,15-17 yrs,15,81628,16.009126663208008,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,18.376047134399414 +1979,35,0,all,18-20 yrs,165,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,211.06491088867188 +1979,35,0,MVA,18-20 yrs,92,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,117.68468475341797 +1979,35,0,suicide,18-20 yrs,22,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,28.14198875427246 +1979,35,0,homicide,18-20 yrs,13,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,16.629356384277344 +1979,35,0,other external,18-20 yrs,25,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,31.97953224182129 +1979,35,0,internal,18-20 yrs,13,78175,18.989215850830078,0,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,16.629356384277344 +1979,35,0,all,21-24 yrs,242,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,245.82003784179688 +1979,35,0,MVA,21-24 yrs,106,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,107.6732406616211 +1979,35,0,suicide,21-24 yrs,37,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,37.58405685424805 +1979,35,0,homicide,21-24 yrs,22,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,22.34727668762207 +1979,35,0,other external,21-24 yrs,46,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,46.72612380981445 +1979,35,0,internal,21-24 yrs,31,98446,22.473447799682617,1,0.11019283533096313,1.7100000381469727,0.30000001192092896,1.0099999904632568,3.0199999809265137,31.489343643188477 +1980,35,0,MVA,15-17 yrs,44,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,55.757606506347656 +1980,35,0,suicide,15-17 yrs,6,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,7.6033101081848145 +1980,35,0,homicide,15-17 yrs,5,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,6.3360915184021 +1980,35,0,other external,15-17 yrs,16,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,20.275493621826172 +1980,35,0,internal,15-17 yrs,11,78913,16.023113250732422,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,13.939401626586914 +1980,35,0,all,18-20 yrs,165,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,208.28073120117188 +1980,35,0,MVA,18-20 yrs,73,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,92.14844512939453 +1980,35,0,suicide,18-20 yrs,15,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,18.934612274169922 +1980,35,0,homicide,18-20 yrs,22,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,27.77076530456543 +1980,35,0,other external,18-20 yrs,33,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.65614700317383 +1980,35,0,internal,18-20 yrs,22,79220,18.999696731567383,0,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,27.77076530456543 +1980,35,0,all,21-24 yrs,236,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,236.61520385742188 +1980,35,0,MVA,21-24 yrs,78,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,78.20333099365234 +1980,35,0,suicide,21-24 yrs,41,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.106876373291016 +1980,35,0,homicide,21-24 yrs,41,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,41.106876373291016 +1980,35,0,other external,21-24 yrs,38,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,38.099056243896484 +1980,35,0,internal,21-24 yrs,38,99740,22.487768173217773,1,0.09708737581968307,1.659999966621399,0.3199999928474426,1,2.990000009536743,38.099056243896484 +1981,35,0,MVA,15-17 yrs,31,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,40.91598892211914 +1981,35,0,suicide,15-17 yrs,11,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,14.518577575683594 +1981,35,0,homicide,15-17 yrs,7,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,9.239094734191895 +1981,35,0,other external,15-17 yrs,12,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,15.838447570800781 +1981,35,0,internal,15-17 yrs,14,75765,16.0366268157959,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,18.47818946838379 +1981,35,0,all,18-20 yrs,145,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,180.47845458984375 +1981,35,0,MVA,18-20 yrs,59,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,73.4360580444336 +1981,35,0,suicide,18-20 yrs,25,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,31.116975784301758 +1981,35,0,homicide,18-20 yrs,15,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,18.670185089111328 +1981,35,0,other external,18-20 yrs,14,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,17.425506591796875 +1981,35,0,internal,18-20 yrs,32,80342,18.998966217041016,0,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,39.82972717285156 +1981,35,0,all,21-24 yrs,219,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,218.45822143554688 +1981,35,0,MVA,21-24 yrs,75,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,74.81446075439453 +1981,35,0,suicide,21-24 yrs,28,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,27.93073272705078 +1981,35,0,homicide,21-24 yrs,27,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,26.93320655822754 +1981,35,0,other external,21-24 yrs,39,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,38.90351867675781 +1981,35,0,internal,21-24 yrs,50,100248,22.50322151184082,1,0.09900990128517151,1.7400000095367432,0.3199999928474426,0.949999988079071,3.009999990463257,49.87630844116211 +1982,35,0,MVA,15-17 yrs,40,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,54.998695373535156 +1982,35,0,suicide,15-17 yrs,8,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,10.999738693237305 +1982,35,0,homicide,15-17 yrs,4,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,5.499869346618652 +1982,35,0,other external,15-17 yrs,12,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,16.499608993530273 +1982,35,0,internal,15-17 yrs,11,72729,16.03253173828125,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,15.124640464782715 +1982,35,0,all,18-20 yrs,149,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,184.54525756835938 +1982,35,0,MVA,18-20 yrs,76,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,94.1304702758789 +1982,35,0,suicide,18-20 yrs,30,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,37.15676498413086 +1982,35,0,homicide,18-20 yrs,8,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,9.908470153808594 +1982,35,0,other external,18-20 yrs,14,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,17.33982276916504 +1982,35,0,internal,18-20 yrs,21,80739,19.004966735839844,0,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,26.009735107421875 +1982,35,0,all,21-24 yrs,192,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,189.43692016601562 +1982,35,0,MVA,21-24 yrs,90,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,88.798553466796875 +1982,35,0,suicide,21-24 yrs,33,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,32.559471130371094 +1982,35,0,homicide,21-24 yrs,20,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,19.733013153076172 +1982,35,0,other external,21-24 yrs,24,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,23.679615020751953 +1982,35,0,internal,21-24 yrs,25,101353,22.484464645385742,1,0.09326425194740295,1.7200000286102295,0.3400000035762787,0.9399999976158142,3,24.6662654876709 +1983,35,0,MVA,15-17 yrs,26,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,37.00909423828125 +1983,35,0,suicide,15-17 yrs,16,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,22.77482795715332 +1983,35,0,homicide,15-17 yrs,3,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,4.270280361175537 +1983,35,0,other external,15-17 yrs,12,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,17.08112144470215 +1983,35,0,internal,15-17 yrs,19,70253,16.017536163330078,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,27.045108795166016 +1983,35,0,all,18-20 yrs,123,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,153.3531951904297 +1983,35,0,MVA,18-20 yrs,67,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,83.53385925292969 +1983,35,0,suicide,18-20 yrs,19,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,23.688705444335938 +1983,35,0,homicide,18-20 yrs,7,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,8.727417945861816 +1983,35,0,other external,18-20 yrs,11,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,13.714513778686523 +1983,35,0,internal,18-20 yrs,19,80207,19.02863883972168,0,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,23.688705444335938 +1983,35,0,all,21-24 yrs,172,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,167.16232299804688 +1983,35,0,MVA,21-24 yrs,67,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,65.11555480957031 +1983,35,0,suicide,21-24 yrs,29,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,28.184345245361328 +1983,35,0,homicide,21-24 yrs,23,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,22.35310173034668 +1983,35,0,other external,21-24 yrs,28,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,27.21247100830078 +1983,35,0,internal,21-24 yrs,25,102894,22.479124069213867,1,0.1807229071855545,1.7200000286102295,0.3100000023841858,0.9800000190734863,3,24.29684829711914 +1984,35,0,MVA,15-17 yrs,18,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,25.647235870361328 +1984,35,0,suicide,15-17 yrs,11,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,15.673311233520508 +1984,35,0,homicide,15-17 yrs,5,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,7.124232292175293 +1984,35,0,other external,15-17 yrs,8,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.398772239685059 +1984,35,0,internal,15-17 yrs,8,70183,15.994115829467773,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.398772239685059 +1984,35,0,all,18-20 yrs,127,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,166.7848663330078 +1984,35,0,MVA,18-20 yrs,53,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,69.60313415527344 +1984,35,0,suicide,18-20 yrs,19,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,24.95206642150879 +1984,35,0,homicide,18-20 yrs,9,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,11.8193998336792 +1984,35,0,other external,18-20 yrs,24,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,31.51839828491211 +1984,35,0,internal,18-20 yrs,22,76146,19.042430877685547,0,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,28.891864776611328 +1984,35,0,all,21-24 yrs,193,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,185.5251922607422 +1984,35,0,MVA,21-24 yrs,86,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,82.66925811767578 +1984,35,0,suicide,21-24 yrs,37,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,35.5670051574707 +1984,35,0,homicide,21-24 yrs,18,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,17.302867889404297 +1984,35,0,other external,21-24 yrs,27,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,25.954301834106445 +1984,35,0,internal,21-24 yrs,25,104029,22.478116989135742,1,0.17324350774288177,1.7100000381469727,0.2800000011920929,0.7599999904632568,2.75,24.031761169433594 +1985,35,0,MVA,15-17 yrs,39,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,54.57904052734375 +1985,35,0,suicide,15-17 yrs,8,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,11.195700645446777 +1985,35,0,homicide,15-17 yrs,6,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,8.396775245666504 +1985,35,0,other external,15-17 yrs,12,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,16.793550491333008 +1985,35,0,internal,15-17 yrs,12,71456,15.978994369506836,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,16.793550491333008 +1985,35,0,all,18-20 yrs,115,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,159.6401824951172 +1985,35,0,MVA,18-20 yrs,60,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,83.29053497314453 +1985,35,0,suicide,18-20 yrs,15,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,20.822633743286133 +1985,35,0,homicide,18-20 yrs,8,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,11.105403900146484 +1985,35,0,other external,18-20 yrs,13,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,18.046281814575195 +1985,35,0,internal,18-20 yrs,19,72037,19.035982131958008,0,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,26.375335693359375 +1985,35,0,all,21-24 yrs,197,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,189.11032104492188 +1985,35,0,MVA,21-24 yrs,84,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,80.63587188720703 +1985,35,0,suicide,21-24 yrs,38,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,36.47813415527344 +1985,35,0,homicide,21-24 yrs,24,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,23.038820266723633 +1985,35,0,other external,21-24 yrs,25,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,23.99877166748047 +1985,35,0,internal,21-24 yrs,26,104172,22.495708465576172,1,0.1672862470149994,1.7000000476837158,0.36000001430511475,0.7699999809265137,2.8299999237060547,24.958721160888672 +1986,35,0,MVA,15-17 yrs,33,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,44.868656158447266 +1986,35,0,suicide,15-17 yrs,11,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,14.956218719482422 +1986,35,0,homicide,15-17 yrs,12,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,16.315876007080078 +1986,35,0,other external,15-17 yrs,14,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,19.035188674926758 +1986,35,0,internal,15-17 yrs,14,73548,15.985275268554688,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,19.035188674926758 +1986,35,0,all,18-20 yrs,133,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,192.8067169189453 +1986,35,0,MVA,18-20 yrs,63,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,91.329498291015625 +1986,35,0,suicide,18-20 yrs,21,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,30.443164825439453 +1986,35,0,homicide,18-20 yrs,19,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,27.54381561279297 +1986,35,0,other external,18-20 yrs,15,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,21.745119094848633 +1986,35,0,internal,18-20 yrs,15,68981,19.01665687561035,0,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,21.745119094848633 +1986,35,0,all,21-24 yrs,181,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,176.32388305664062 +1986,35,0,MVA,21-24 yrs,66,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,64.2948989868164 +1986,35,0,suicide,21-24 yrs,37,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,36.04410934448242 +1986,35,0,homicide,21-24 yrs,18,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,17.53497314453125 +1986,35,0,other external,21-24 yrs,30,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,29.22495460510254 +1986,35,0,internal,21-24 yrs,30,102652,22.518898010253906,1,0.16423358023166656,1.6399999856948853,0.3499999940395355,0.699999988079071,2.700000047683716,29.22495460510254 +1987,35,0,MVA,15-17 yrs,35,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,47.79200744628906 +1987,35,0,suicide,15-17 yrs,13,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,17.751317977905273 +1987,35,0,homicide,15-17 yrs,4,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,5.461944103240967 +1987,35,0,other external,15-17 yrs,4,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,5.461944103240967 +1987,35,0,internal,15-17 yrs,9,73234,16.01421546936035,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,12.289373397827148 +1987,35,0,all,18-20 yrs,113,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,166.82907104492188 +1987,35,0,MVA,18-20 yrs,56,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,82.67635345458984 +1987,35,0,suicide,18-20 yrs,15,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,22.145450592041016 +1987,35,0,homicide,18-20 yrs,14,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,20.66908836364746 +1987,35,0,other external,18-20 yrs,12,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,17.71636199951172 +1987,35,0,internal,18-20 yrs,16,67734,18.9925594329834,0,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,23.621814727783203 +1987,35,0,all,21-24 yrs,169,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,171.5439910888672 +1987,35,0,MVA,21-24 yrs,75,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,76.12899017333984 +1987,35,0,suicide,21-24 yrs,34,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,34.511810302734375 +1987,35,0,homicide,21-24 yrs,15,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,15.225798606872559 +1987,35,0,other external,21-24 yrs,19,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,19.2860107421875 +1987,35,0,internal,21-24 yrs,26,98517,22.55718231201172,1,0.15845070779323578,1.6299999952316284,0.3499999940395355,0.6700000166893005,2.6500000953674316,26.39138412475586 +1988,35,0,MVA,15-17 yrs,31,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,43.29608917236328 +1988,35,0,suicide,15-17 yrs,21,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,29.329608917236328 +1988,35,0,homicide,15-17 yrs,14,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,19.553071975708008 +1988,35,0,other external,15-17 yrs,10,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,13.966480255126953 +1988,35,0,internal,15-17 yrs,11,71600,16.025697708129883,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,15.363128662109375 +1988,35,0,all,18-20 yrs,96,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,141.85655212402344 +1988,35,0,MVA,18-20 yrs,47,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,69.45059967041016 +1988,35,0,suicide,18-20 yrs,22,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,32.508792877197266 +1988,35,0,homicide,18-20 yrs,11,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,16.254396438598633 +1988,35,0,other external,18-20 yrs,10,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,14.776723861694336 +1988,35,0,internal,18-20 yrs,6,67674,18.974199295043945,0,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,8.866034507751465 +1988,35,0,all,21-24 yrs,153,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,165.5020294189453 +1988,35,0,MVA,21-24 yrs,62,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,67.06617736816406 +1988,35,0,suicide,21-24 yrs,34,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,36.778228759765625 +1988,35,0,homicide,21-24 yrs,13,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,14.062263488769531 +1988,35,0,other external,21-24 yrs,21,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,22.71596336364746 +1988,35,0,internal,21-24 yrs,23,92446,22.56427574157715,1,0.1521555334329605,1.6299999952316284,0.33000001311302185,0.6700000166893005,2.640000104904175,24.8793888092041 +1989,35,0,MVA,15-17 yrs,32,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,46.34591293334961 +1989,35,0,suicide,15-17 yrs,13,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,18.828027725219727 +1989,35,0,homicide,15-17 yrs,2,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,2.8966195583343506 +1989,35,0,other external,15-17 yrs,14,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,20.276336669921875 +1989,35,0,internal,15-17 yrs,9,69046,16.011180877685547,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,13.034788131713867 +1989,35,0,all,18-20 yrs,103,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,150.2399444580078 +1989,35,0,MVA,18-20 yrs,53,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,77.30792999267578 +1989,35,0,suicide,18-20 yrs,21,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,30.631444931030273 +1989,35,0,homicide,18-20 yrs,12,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,17.50368309020996 +1989,35,0,other external,18-20 yrs,7,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,10.210481643676758 +1989,35,0,internal,18-20 yrs,10,68557,18.976865768432617,0,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,14.586402893066406 +1989,35,0,all,21-24 yrs,172,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,197.11659240722656 +1989,35,0,MVA,21-24 yrs,75,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,85.9520034790039 +1989,35,0,suicide,21-24 yrs,33,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,37.81888198852539 +1989,35,0,homicide,21-24 yrs,20,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,22.920534133911133 +1989,35,0,other external,21-24 yrs,13,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,14.898347854614258 +1989,35,0,internal,21-24 yrs,31,87258,22.548992156982422,1,0.14516130089759827,1.6399999856948853,0.28999999165534973,0.6499999761581421,2.5799999237060547,35.52682876586914 +1990,35,0,MVA,15-17 yrs,44,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,64.030731201171875 +1990,35,0,suicide,15-17 yrs,13,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,18.918170928955078 +1990,35,0,homicide,15-17 yrs,9,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,13.097195625305176 +1990,35,0,other external,15-17 yrs,17,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,24.739147186279297 +1990,35,0,internal,15-17 yrs,15,68717,15.995182991027832,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,21.828659057617188 +1990,35,0,all,18-20 yrs,115,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,168.12127685546875 +1990,35,0,MVA,18-20 yrs,55,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,80.40583038330078 +1990,35,0,suicide,18-20 yrs,18,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,26.31463623046875 +1990,35,0,homicide,18-20 yrs,11,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,16.081165313720703 +1990,35,0,other external,18-20 yrs,17,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,24.852710723876953 +1990,35,0,internal,18-20 yrs,14,68403,19.004619598388672,0,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,20.466938018798828 +1990,35,0,all,21-24 yrs,143,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,170.8197021484375 +1990,35,0,MVA,21-24 yrs,63,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,75.25623321533203 +1990,35,0,suicide,21-24 yrs,26,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,31.05812644958496 +1990,35,0,homicide,21-24 yrs,18,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,21.501779556274414 +1990,35,0,other external,21-24 yrs,12,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,14.33452033996582 +1990,35,0,internal,21-24 yrs,24,83714,22.510499954223633,1,0.13771997392177582,1.6799999475479126,0.2800000011920929,0.6800000071525574,2.640000104904175,28.66904067993164 +1991,35,0,MVA,15-17 yrs,19,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,27.23233413696289 +1991,35,0,suicide,15-17 yrs,16,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,22.932493209838867 +1991,35,0,homicide,15-17 yrs,7,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,10.032965660095215 +1991,35,0,other external,15-17 yrs,10,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,14.332807540893555 +1991,35,0,internal,15-17 yrs,9,69770,15.998839378356934,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,12.899526596069336 +1991,35,0,all,18-20 yrs,108,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,155.10110473632812 +1991,35,0,MVA,18-20 yrs,54,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,77.55055236816406 +1991,35,0,suicide,18-20 yrs,17,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,24.4140625 +1991,35,0,homicide,18-20 yrs,21,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,30.15854835510254 +1991,35,0,other external,18-20 yrs,6,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,8.616727828979492 +1991,35,0,internal,18-20 yrs,10,69632,19.011001586914062,0,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,14.361213684082031 +1991,35,0,all,21-24 yrs,149,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,178.32138061523438 +1991,35,0,MVA,21-24 yrs,50,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,59.83938980102539 +1991,35,0,suicide,21-24 yrs,23,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,27.526119232177734 +1991,35,0,homicide,21-24 yrs,26,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,31.116483688354492 +1991,35,0,other external,21-24 yrs,21,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,25.132543563842773 +1991,35,0,internal,21-24 yrs,29,83557,22.47711181640625,1,0.13215859234333038,1.6399999856948853,0.25999999046325684,0.6399999856948853,2.5399999618530273,34.70684814453125 +1992,35,0,MVA,15-17 yrs,20,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,27.584304809570312 +1992,35,0,suicide,15-17 yrs,12,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,16.550582885742188 +1992,35,0,homicide,15-17 yrs,8,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,11.033721923828125 +1992,35,0,other external,15-17 yrs,7,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,9.65450668334961 +1992,35,0,internal,15-17 yrs,13,72505,15.990800857543945,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,17.929798126220703 +1992,35,0,all,18-20 yrs,100,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,141.53079223632812 +1992,35,0,MVA,18-20 yrs,31,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,43.87454605102539 +1992,35,0,suicide,18-20 yrs,19,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,26.890851974487305 +1992,35,0,homicide,18-20 yrs,20,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,28.30615997314453 +1992,35,0,other external,18-20 yrs,18,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,25.475543975830078 +1992,35,0,internal,18-20 yrs,12,70656,19.00847816467285,0,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,16.98369598388672 +1992,35,0,all,21-24 yrs,137,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,160.82266235351562 +1992,35,0,MVA,21-24 yrs,51,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,59.868289947509766 +1992,35,0,suicide,21-24 yrs,36,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,42.25996780395508 +1992,35,0,homicide,21-24 yrs,13,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,15.260544776916504 +1992,35,0,other external,21-24 yrs,15,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,17.608320236206055 +1992,35,0,internal,21-24 yrs,22,85187,22.4464054107666,1,0.12829650938510895,1.559999942779541,0.25,0.6600000262260437,2.4700000286102295,25.825536727905273 +1993,35,0,MVA,15-17 yrs,21,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,27.93593406677246 +1993,35,0,suicide,15-17 yrs,8,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,10.642260551452637 +1993,35,0,homicide,15-17 yrs,8,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,10.642260551452637 +1993,35,0,other external,15-17 yrs,3,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,3.990847587585449 +1993,35,0,internal,15-17 yrs,11,75172,15.98550033569336,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,14.633108139038086 +1993,35,0,all,18-20 yrs,109,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,151.02391052246094 +1993,35,0,MVA,18-20 yrs,44,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,60.963783264160156 +1993,35,0,suicide,18-20 yrs,22,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,30.481891632080078 +1993,35,0,homicide,18-20 yrs,18,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,24.939729690551758 +1993,35,0,other external,18-20 yrs,11,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,15.240945816040039 +1993,35,0,internal,18-20 yrs,14,72174,19.002687454223633,0,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,19.397567749023438 +1993,35,0,all,21-24 yrs,144,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,165.8355712890625 +1993,35,0,MVA,21-24 yrs,52,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,59.885066986083984 +1993,35,0,suicide,21-24 yrs,29,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,33.39744186401367 +1993,35,0,homicide,21-24 yrs,20,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,23.032718658447266 +1993,35,0,other external,21-24 yrs,13,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,14.971266746520996 +1993,35,0,internal,21-24 yrs,30,86833,22.450565338134766,1,0.24221453070640564,1.5299999713897705,0.23000000417232513,0.6299999952316284,2.390000104904175,34.549076080322266 +1994,35,0,MVA,15-17 yrs,22,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,27.959585189819336 +1994,35,0,suicide,15-17 yrs,19,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,24.146915435791016 +1994,35,0,homicide,15-17 yrs,18,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.87602424621582 +1994,35,0,other external,15-17 yrs,5,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,6.3544511795043945 +1994,35,0,internal,15-17 yrs,9,78685,15.991599082946777,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,11.43801212310791 +1994,35,0,all,18-20 yrs,98,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,132.32156372070312 +1994,35,0,MVA,18-20 yrs,45,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,60.75990295410156 +1994,35,0,suicide,18-20 yrs,15,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,20.2533016204834 +1994,35,0,homicide,18-20 yrs,8,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,10.80176067352295 +1994,35,0,other external,18-20 yrs,13,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,17.552860260009766 +1994,35,0,internal,18-20 yrs,17,74062,19.004037857055664,0,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.9537410736084 +1994,35,0,all,21-24 yrs,139,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,155.11141967773438 +1994,35,0,MVA,21-24 yrs,59,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,65.83866119384766 +1994,35,0,suicide,21-24 yrs,23,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,25.665918350219727 +1994,35,0,homicide,21-24 yrs,24,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,26.781827926635742 +1994,35,0,other external,21-24 yrs,13,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,14.506823539733887 +1994,35,0,internal,21-24 yrs,20,89613,22.462142944335938,1,0.2766531705856323,1.4600000381469727,0.1899999976158142,0.6000000238418579,2.25,22.31818962097168 +1995,35,0,MVA,15-17 yrs,37,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,45.166015625 +1995,35,0,suicide,15-17 yrs,11,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,13.427734375 +1995,35,0,homicide,15-17 yrs,13,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,15.869140625 +1995,35,0,other external,15-17 yrs,5,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,6.103515625 +1995,35,0,internal,15-17 yrs,19,81920,15.978137016296387,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,23.193359375 +1995,35,0,all,18-20 yrs,113,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,147.614013671875 +1995,35,0,MVA,18-20 yrs,51,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,66.62225341796875 +1995,35,0,suicide,18-20 yrs,17,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.207416534423828 +1995,35,0,homicide,18-20 yrs,15,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,19.59477996826172 +1995,35,0,other external,18-20 yrs,13,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,16.98214340209961 +1995,35,0,internal,18-20 yrs,17,76551,18.9945011138916,0,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.207416534423828 +1995,35,0,all,21-24 yrs,127,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,139.93873596191406 +1995,35,0,MVA,21-24 yrs,45,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,49.584590911865234 +1995,35,0,suicide,21-24 yrs,22,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,24.241355895996094 +1995,35,0,homicide,21-24 yrs,17,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,18.731956481933594 +1995,35,0,other external,21-24 yrs,23,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,25.34323501586914 +1995,35,0,internal,21-24 yrs,20,90754,22.46913719177246,1,0.2690288722515106,1.559999942779541,0.23999999463558197,0.6000000238418579,2.4000000953674316,22.037595748901367 +1996,35,0,MVA,15-17 yrs,34,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,40.1123161315918 +1996,35,0,suicide,15-17 yrs,6,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,7.078643798828125 +1996,35,0,homicide,15-17 yrs,12,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,14.15728759765625 +1996,35,0,other external,15-17 yrs,7,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,8.258418083190918 +1996,35,0,internal,15-17 yrs,15,84762,15.994195938110352,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,17.696609497070312 +1996,35,0,all,18-20 yrs,137,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,174.94796752929688 +1996,35,0,MVA,18-20 yrs,54,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,68.95758819580078 +1996,35,0,suicide,18-20 yrs,22,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,28.093833923339844 +1996,35,0,homicide,18-20 yrs,23,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,29.370826721191406 +1996,35,0,other external,18-20 yrs,18,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,22.985864639282227 +1996,35,0,internal,18-20 yrs,20,78309,18.99193000793457,0,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.53984832763672 +1996,35,0,all,21-24 yrs,147,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,160.5487060546875 +1996,35,0,MVA,21-24 yrs,60,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,65.53008270263672 +1996,35,0,suicide,21-24 yrs,20,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,21.843360900878906 +1996,35,0,homicide,21-24 yrs,23,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.11986541748047 +1996,35,0,other external,21-24 yrs,23,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,25.11986541748047 +1996,35,0,internal,21-24 yrs,21,91561,22.457475662231445,1,0.26131293177604675,1.5499999523162842,0.23999999463558197,0.5899999737739563,2.380000114440918,22.935529708862305 +1970,36,1,MVA,15-17 yrs,183,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,18.971359252929688 +1970,36,1,suicide,15-17 yrs,27,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,2.7990529537200928 +1970,36,1,homicide,15-17 yrs,46,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,4.768756866455078 +1970,36,1,other external,15-17 yrs,188,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,19.489702224731445 +1970,36,1,internal,15-17 yrs,328,964612,15.985573768615723,0,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,34.0033073425293 +1970,36,1,all,18-20 yrs,1205,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,135.9601593017578 +1970,36,1,MVA,18-20 yrs,328,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,37.008243560791016 +1970,36,1,suicide,18-20 yrs,51,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,5.754330635070801 +1970,36,1,homicide,18-20 yrs,125,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,14.103752136230469 +1970,36,1,other external,18-20 yrs,280,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,31.592403411865234 +1970,36,1,internal,18-20 yrs,421,886289,18.9753475189209,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,47.501434326171875 +1970,36,1,all,21-24 yrs,1596,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,145.38406372070312 +1970,36,1,MVA,21-24 yrs,320,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,29.14968490600586 +1970,36,1,suicide,21-24 yrs,96,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,8.744905471801758 +1970,36,1,homicide,21-24 yrs,193,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,17.580904006958008 +1970,36,1,other external,21-24 yrs,391,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,35.617271423339844 +1970,36,1,internal,21-24 yrs,596,1097782,22.46368408203125,1,0.11340206116437912,1.1799999475479126,0.4000000059604645,1.4199999570846558,3,54.291290283203125 +1971,36,1,MVA,15-17 yrs,197,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,20.037633895874023 +1971,36,1,suicide,15-17 yrs,29,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,2.949702501296997 +1971,36,1,homicide,15-17 yrs,63,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,6.4079742431640625 +1971,36,1,other external,15-17 yrs,164,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,16.681076049804688 +1971,36,1,internal,15-17 yrs,384,983150,15.985013008117676,0,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,39.058128356933594 +1971,36,1,all,18-20 yrs,1315,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,144.05149841308594 +1971,36,1,MVA,18-20 yrs,333,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,36.47843933105469 +1971,36,1,suicide,18-20 yrs,61,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,6.682236671447754 +1971,36,1,homicide,18-20 yrs,129,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,14.131287574768066 +1971,36,1,other external,18-20 yrs,218,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,23.880779266357422 +1971,36,1,internal,18-20 yrs,574,912868,18.986722946166992,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,62.87874984741211 +1971,36,1,all,21-24 yrs,1796,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,153.59814453125 +1971,36,1,MVA,21-24 yrs,344,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,29.419687271118164 +1971,36,1,suicide,21-24 yrs,98,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,8.381190299987793 +1971,36,1,homicide,21-24 yrs,269,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,23.005512237548828 +1971,36,1,other external,21-24 yrs,281,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,24.031780242919922 +1971,36,1,internal,21-24 yrs,804,1169285,22.552759170532227,1,0.10864197462797165,1.159999966621399,0.4399999976158142,1.409999966621399,3.009999990463257,68.75997161865234 +1972,36,1,MVA,15-17 yrs,188,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,18.7810115814209 +1972,36,1,suicide,15-17 yrs,34,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,3.396566152572632 +1972,36,1,homicide,15-17 yrs,112,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,11.188688278198242 +1972,36,1,other external,15-17 yrs,162,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,16.183637619018555 +1972,36,1,internal,15-17 yrs,342,1001011,15.981644630432129,0,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,34.16545867919922 +1972,36,1,all,18-20 yrs,1292,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,139.66043090820312 +1972,36,1,MVA,18-20 yrs,346,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,37.40132141113281 +1972,36,1,suicide,18-20 yrs,74,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,7.999126434326172 +1972,36,1,homicide,18-20 yrs,154,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,16.646831512451172 +1972,36,1,other external,18-20 yrs,202,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,21.835453033447266 +1972,36,1,internal,18-20 yrs,516,925101,18.992116928100586,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,55.77769470214844 +1972,36,1,all,21-24 yrs,1794,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,155.32858276367188 +1972,36,1,MVA,21-24 yrs,388,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,33.59391784667969 +1972,36,1,suicide,21-24 yrs,84,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,7.272910118103027 +1972,36,1,homicide,21-24 yrs,314,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,27.186830520629883 +1972,36,1,other external,21-24 yrs,242,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,20.95290756225586 +1972,36,1,internal,21-24 yrs,766,1154971,22.496858596801758,1,0.10526315867900848,1.1399999856948853,0.4399999976158142,1.2400000095367432,2.809999942779541,66.32201385498047 +1973,36,1,MVA,15-17 yrs,201,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,19.930213928222656 +1973,36,1,suicide,15-17 yrs,29,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,2.8755035400390625 +1973,36,1,homicide,15-17 yrs,95,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,9.419753074645996 +1973,36,1,other external,15-17 yrs,158,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,15.666536331176758 +1973,36,1,internal,15-17 yrs,298,1008519,15.983281135559082,0,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,29.54827880859375 +1973,36,1,all,18-20 yrs,1239,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,133.44937133789062 +1973,36,1,MVA,18-20 yrs,326,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,35.112586975097656 +1973,36,1,suicide,18-20 yrs,57,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,6.139317035675049 +1973,36,1,homicide,18-20 yrs,142,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,15.294439315795898 +1973,36,1,other external,18-20 yrs,197,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,21.218341827392578 +1973,36,1,internal,18-20 yrs,517,928442,18.989463806152344,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,55.68468475341797 +1973,36,1,all,21-24 yrs,1747,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,151.37730407714844 +1973,36,1,MVA,21-24 yrs,319,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,27.64130401611328 +1973,36,1,suicide,21-24 yrs,121,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,10.48463249206543 +1973,36,1,homicide,21-24 yrs,293,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,25.388408660888672 +1973,36,1,other external,21-24 yrs,260,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,22.528963088989258 +1973,36,1,internal,21-24 yrs,754,1154070,22.48872947692871,1,0.09909909218549728,1.159999966621399,0.44999998807907104,1.3200000524520874,2.930000066757202,65.33399200439453 +1974,36,1,MVA,15-17 yrs,151,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,14.870063781738281 +1974,36,1,suicide,15-17 yrs,24,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,2.3634538650512695 +1974,36,1,homicide,15-17 yrs,89,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,8.764474868774414 +1974,36,1,other external,15-17 yrs,136,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,13.392905235290527 +1974,36,1,internal,15-17 yrs,312,1015463,15.993325233459473,0,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,30.72490119934082 +1974,36,1,all,18-20 yrs,1154,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,123.12196350097656 +1974,36,1,MVA,18-20 yrs,309,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,32.96766662597656 +1974,36,1,suicide,18-20 yrs,71,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,7.575094699859619 +1974,36,1,homicide,18-20 yrs,142,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,15.150189399719238 +1974,36,1,other external,18-20 yrs,181,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,19.3111572265625 +1974,36,1,internal,18-20 yrs,451,937282,18.991844177246094,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,48.117855072021484 +1974,36,1,all,21-24 yrs,1675,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,144.7443084716797 +1974,36,1,MVA,21-24 yrs,279,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,24.109649658203125 +1974,36,1,suicide,21-24 yrs,105,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,9.073524475097656 +1974,36,1,homicide,21-24 yrs,237,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,20.480239868164062 +1974,36,1,other external,21-24 yrs,266,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,22.98626136779785 +1974,36,1,internal,21-24 yrs,788,1157213,22.485565185546875,1,0.08924949169158936,1.1699999570846558,0.4399999976158142,1.2999999523162842,2.9100000858306885,68.094635009765625 +1975,36,1,MVA,15-17 yrs,170,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,16.763004302978516 +1975,36,1,suicide,15-17 yrs,28,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,2.760965585708618 +1975,36,1,homicide,15-17 yrs,59,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,5.817748546600342 +1975,36,1,other external,15-17 yrs,146,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,14.396462440490723 +1975,36,1,internal,15-17 yrs,243,1014138,15.999218940734863,0,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.96123695373535 +1975,36,1,all,18-20 yrs,1071,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,112.23179626464844 +1975,36,1,MVA,18-20 yrs,307,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,32.1710205078125 +1975,36,1,suicide,18-20 yrs,74,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,7.754578113555908 +1975,36,1,homicide,18-20 yrs,140,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,14.670823097229004 +1975,36,1,other external,18-20 yrs,196,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,20.539152145385742 +1975,36,1,internal,18-20 yrs,354,954275,18.987728118896484,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,37.09622573852539 +1975,36,1,all,21-24 yrs,1548,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,132.55569458007812 +1975,36,1,MVA,21-24 yrs,270,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.120180130004883 +1975,36,1,suicide,21-24 yrs,120,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,10.275635719299316 +1975,36,1,homicide,21-24 yrs,261,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,22.349506378173828 +1975,36,1,other external,21-24 yrs,270,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,23.120180130004883 +1975,36,1,internal,21-24 yrs,627,1167811,22.488122940063477,1,0.08178438991308212,1.159999966621399,0.44999998807907104,1.2699999809265137,2.890000104904175,53.69019317626953 +1976,36,1,MVA,15-17 yrs,184,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,18.12763214111328 +1976,36,1,suicide,15-17 yrs,35,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,3.448190927505493 +1976,36,1,homicide,15-17 yrs,70,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,6.896381855010986 +1976,36,1,other external,15-17 yrs,124,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,12.216447830200195 +1976,36,1,internal,15-17 yrs,243,1015025,15.99487018585205,0,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,23.940296173095703 +1976,36,1,all,18-20 yrs,987,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,102.14652252197266 +1976,36,1,MVA,18-20 yrs,295,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,30.53011703491211 +1976,36,1,suicide,18-20 yrs,84,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,8.693321228027344 +1976,36,1,homicide,18-20 yrs,164,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,16.972675323486328 +1976,36,1,other external,18-20 yrs,176,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,18.21457862854004 +1976,36,1,internal,18-20 yrs,268,966259,18.988428115844727,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,27.7358341217041 +1976,36,1,all,21-24 yrs,1531,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,130.13893127441406 +1976,36,1,MVA,21-24 yrs,227,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,19.295583724975586 +1976,36,1,suicide,21-24 yrs,169,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,14.365434646606445 +1976,36,1,homicide,21-24 yrs,267,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,22.69568634033203 +1976,36,1,other external,21-24 yrs,247,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,20.995635986328125 +1976,36,1,internal,21-24 yrs,621,1176435,22.48148536682129,1,0.0773286446928978,1.1399999856948853,0.4399999976158142,1.25,2.8299999237060547,52.786598205566406 +1977,36,1,MVA,15-17 yrs,191,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,19.033649444580078 +1977,36,1,suicide,15-17 yrs,43,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,4.285062313079834 +1977,36,1,homicide,15-17 yrs,84,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,8.370819091796875 +1977,36,1,other external,15-17 yrs,114,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,11.360397338867188 +1977,36,1,internal,15-17 yrs,211,1003486,15.998491287231445,0,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,21.026700973510742 +1977,36,1,all,18-20 yrs,1064,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,109.65974426269531 +1977,36,1,MVA,18-20 yrs,328,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,33.80488586425781 +1977,36,1,suicide,18-20 yrs,88,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,9.069602966308594 +1977,36,1,homicide,18-20 yrs,173,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,17.830015182495117 +1977,36,1,other external,18-20 yrs,150,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,15.459550857543945 +1977,36,1,internal,18-20 yrs,325,970274,18.99814796447754,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,33.49569320678711 +1977,36,1,all,21-24 yrs,1441,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,122.28330993652344 +1977,36,1,MVA,21-24 yrs,285,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,24.185110092163086 +1977,36,1,suicide,21-24 yrs,153,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,12.983585357666016 +1977,36,1,homicide,21-24 yrs,247,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,20.96042823791504 +1977,36,1,other external,21-24 yrs,206,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,17.48116683959961 +1977,36,1,internal,21-24 yrs,550,1178411,22.48021125793457,1,0.07260726392269135,1.1799999475479126,0.3799999952316284,1.1699999570846558,2.740000009536743,46.67301940917969 +1978,36,1,MVA,15-17 yrs,208,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,20.945423126220703 +1978,36,1,suicide,15-17 yrs,37,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,3.7258687019348145 +1978,36,1,homicide,15-17 yrs,75,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,7.552436351776123 +1978,36,1,other external,15-17 yrs,104,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,10.472711563110352 +1978,36,1,internal,15-17 yrs,228,993057,16.00788116455078,0,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,22.959407806396484 +1978,36,1,all,18-20 yrs,1021,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,106.1921157836914 +1978,36,1,MVA,18-20 yrs,346,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,35.98674774169922 +1978,36,1,suicide,18-20 yrs,93,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,9.672739028930664 +1978,36,1,homicide,18-20 yrs,141,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,14.665120124816895 +1978,36,1,other external,18-20 yrs,170,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,17.681350708007812 +1978,36,1,internal,18-20 yrs,271,961465,19.002702713012695,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,28.186153411865234 +1978,36,1,all,21-24 yrs,1387,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,116.79930877685547 +1978,36,1,MVA,21-24 yrs,296,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,24.92616844177246 +1978,36,1,suicide,21-24 yrs,167,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,14.063075065612793 +1978,36,1,homicide,21-24 yrs,242,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,20.378828048706055 +1978,36,1,other external,21-24 yrs,232,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,19.536725997924805 +1978,36,1,internal,21-24 yrs,450,1187507,22.473941802978516,1,0.06748466193675995,1.1799999475479126,0.41999998688697815,1.1699999570846558,2.7699999809265137,37.89451217651367 +1979,36,1,MVA,15-17 yrs,224,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,22.927141189575195 +1979,36,1,suicide,15-17 yrs,40,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,4.094132423400879 +1979,36,1,homicide,15-17 yrs,95,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,9.723564147949219 +1979,36,1,other external,15-17 yrs,98,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,10.030624389648438 +1979,36,1,internal,15-17 yrs,191,977008,16.00353240966797,0,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,19.549482345581055 +1979,36,1,all,18-20 yrs,1047,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,109.1155776977539 +1979,36,1,MVA,18-20 yrs,326,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,33.97486114501953 +1979,36,1,suicide,18-20 yrs,97,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,10.109084129333496 +1979,36,1,homicide,18-20 yrs,221,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,23.03203773498535 +1979,36,1,other external,18-20 yrs,144,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,15.00730037689209 +1979,36,1,internal,18-20 yrs,259,959533,18.99789810180664,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,26.992298126220703 +1979,36,1,all,21-24 yrs,1449,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,120.8004379272461 +1979,36,1,MVA,21-24 yrs,339,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,28.261798858642578 +1979,36,1,suicide,21-24 yrs,158,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,13.172165870666504 +1979,36,1,homicide,21-24 yrs,304,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,25.343914031982422 +1979,36,1,other external,21-24 yrs,224,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,18.674463272094727 +1979,36,1,internal,21-24 yrs,424,1199499,22.477062225341797,1,0.06060606241226196,1.2100000381469727,0.4399999976158142,1.1699999570846558,2.819999933242798,35.34809112548828 +1980,36,1,MVA,15-17 yrs,198,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.687925338745117 +1980,36,1,suicide,15-17 yrs,42,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,4.38834810256958 +1980,36,1,homicide,15-17 yrs,119,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,12.4336519241333 +1980,36,1,other external,15-17 yrs,81,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,8.463242530822754 +1980,36,1,internal,15-17 yrs,195,957080,16.01145362854004,0,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.37447166442871 +1980,36,1,all,18-20 yrs,1065,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,111.56587219238281 +1980,36,1,MVA,18-20 yrs,359,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,37.60765075683594 +1980,36,1,suicide,18-20 yrs,94,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,9.847128868103027 +1980,36,1,homicide,18-20 yrs,195,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,20.427553176879883 +1980,36,1,other external,18-20 yrs,151,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,15.818260192871094 +1980,36,1,internal,18-20 yrs,266,954593,18.999536514282227,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,27.865278244018555 +1980,36,1,all,21-24 yrs,1492,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,123.21566772460938 +1980,36,1,MVA,21-24 yrs,369,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,30.47357940673828 +1980,36,1,suicide,21-24 yrs,160,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,13.213476181030273 +1980,36,1,homicide,21-24 yrs,310,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,25.601110458374023 +1980,36,1,other external,21-24 yrs,188,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,15.525834083557129 +1980,36,1,internal,21-24 yrs,465,1210885,22.48475456237793,1,0.05339805781841278,1.2799999713897705,0.46000000834465027,1.1799999475479126,2.9100000858306885,38.40166473388672 +1981,36,1,MVA,15-17 yrs,171,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,18.39128875732422 +1981,36,1,suicide,15-17 yrs,38,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,4.086953163146973 +1981,36,1,homicide,15-17 yrs,96,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,10.324934005737305 +1981,36,1,other external,15-17 yrs,83,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,8.926766395568848 +1981,36,1,internal,15-17 yrs,188,929788,16.02452850341797,0,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,20.219663619995117 +1981,36,1,all,18-20 yrs,999,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,103.99392700195312 +1981,36,1,MVA,18-20 yrs,327,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,34.04005432128906 +1981,36,1,suicide,18-20 yrs,81,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,8.431940078735352 +1981,36,1,homicide,18-20 yrs,195,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,20.299116134643555 +1981,36,1,other external,18-20 yrs,132,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,13.740939140319824 +1981,36,1,internal,18-20 yrs,264,960633,19.00762176513672,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,27.48187828063965 +1981,36,1,all,21-24 yrs,1444,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,117.99178314208984 +1981,36,1,MVA,21-24 yrs,345,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,28.1905574798584 +1981,36,1,suicide,21-24 yrs,150,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,12.25676441192627 +1981,36,1,homicide,21-24 yrs,320,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,26.147764205932617 +1981,36,1,other external,21-24 yrs,184,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,15.034964561462402 +1981,36,1,internal,21-24 yrs,445,1223814,22.496427536010742,1,0.048404838889837265,1.25,0.46000000834465027,1.1200000047683716,2.8299999237060547,36.36173629760742 +1982,36,0.9749115109443665,MVA,15-17 yrs,140,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,15.663599967956543 +1982,36,0.9749115109443665,suicide,15-17 yrs,37,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,4.139665603637695 +1982,36,0.9749115109443665,homicide,15-17 yrs,96,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,10.740754127502441 +1982,36,0.9749115109443665,other external,15-17 yrs,85,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,9.510042190551758 +1982,36,0.9749115109443665,internal,15-17 yrs,195,893792,16.028303146362305,0,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,21.817155838012695 +1982,36,0.9749115109443665,all,18-20 yrs,920,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,95.83133697509766 +1982,36,0.9749115109443665,MVA,18-20 yrs,286,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,29.791046142578125 +1982,36,0.9749115109443665,suicide,18-20 yrs,81,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,8.437324523925781 +1982,36,0.9749115109443665,homicide,18-20 yrs,192,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,19.999584197998047 +1982,36,0.9749115109443665,other external,18-20 yrs,132,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,13.749713897705078 +1982,36,0.9749115109443665,internal,18-20 yrs,229,960020,19.007125854492188,0.9749115109443665,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,23.853670120239258 +1982,36,0.9749115109443665,all,21-24 yrs,1351,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,109.30933380126953 +1982,36,0.9749115109443665,MVA,21-24 yrs,296,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,23.949344635009766 +1982,36,0.9749115109443665,suicide,21-24 yrs,129,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,10.437382698059082 +1982,36,0.9749115109443665,homicide,21-24 yrs,256,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,20.71294593811035 +1982,36,0.9749115109443665,other external,21-24 yrs,198,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,16.02016830444336 +1982,36,0.9749115109443665,internal,21-24 yrs,472,1235942,22.492664337158203,1,0.04559585452079773,1.2599999904632568,0.47999998927116394,1.100000023841858,2.8399999141693115,38.18949508666992 +1983,36,0.6797694563865662,MVA,15-17 yrs,124,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,14.389357566833496 +1983,36,0.6797694563865662,suicide,15-17 yrs,38,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,4.409641742706299 +1983,36,0.6797694563865662,homicide,15-17 yrs,79,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,9.167412757873535 +1983,36,0.6797694563865662,other external,15-17 yrs,71,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,8.239068031311035 +1983,36,0.6797694563865662,internal,15-17 yrs,150,861748,16.026641845703125,0,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,17.40648078918457 +1983,36,0.6797694563865662,all,18-20 yrs,894,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,93.457061767578125 +1983,36,0.6797694563865662,MVA,18-20 yrs,276,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,28.852516174316406 +1983,36,0.6797694563865662,suicide,18-20 yrs,63,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,6.58590030670166 +1983,36,0.6797694563865662,homicide,18-20 yrs,187,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,19.548625946044922 +1983,36,0.6797694563865662,other external,18-20 yrs,124,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,12.962724685668945 +1983,36,0.6797694563865662,internal,18-20 yrs,244,956589,19.018016815185547,0.6797694563865662,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,25.50729751586914 +1983,36,0.6797694563865662,all,21-24 yrs,1291,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,103.3111572265625 +1983,36,0.6797694563865662,MVA,21-24 yrs,249,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,19.926010131835938 +1983,36,0.6797694563865662,suicide,21-24 yrs,109,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,8.722630500793457 +1983,36,0.6797694563865662,homicide,21-24 yrs,285,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,22.8068790435791 +1983,36,0.6797694563865662,other external,21-24 yrs,195,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,15.604706764221191 +1983,36,0.6797694563865662,internal,21-24 yrs,453,1249623,22.49276351928711,1,0.05522088333964348,1.2300000190734863,0.49000000953674316,1.0499999523162842,2.7699999809265137,36.25093460083008 +1984,36,0.6858195066452026,MVA,15-17 yrs,121,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,14.367441177368164 +1984,36,0.6858195066452026,suicide,15-17 yrs,34,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,4.037132263183594 +1984,36,0.6858195066452026,homicide,15-17 yrs,70,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.311742782592773 +1984,36,0.6858195066452026,other external,15-17 yrs,70,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.311742782592773 +1984,36,0.6858195066452026,internal,15-17 yrs,170,842182,16.01361656188965,0,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,20.18566131591797 +1984,36,0.6858195066452026,all,18-20 yrs,824,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,87.8922119140625 +1984,36,0.6858195066452026,MVA,18-20 yrs,243,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,25.919668197631836 +1984,36,0.6858195066452026,suicide,18-20 yrs,81,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,8.63988971710205 +1984,36,0.6858195066452026,homicide,18-20 yrs,175,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,18.666427612304688 +1984,36,0.6858195066452026,other external,18-20 yrs,100,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,10.66653060913086 +1984,36,0.6858195066452026,internal,18-20 yrs,225,937512,19.03163719177246,0.6858195066452026,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,23.999692916870117 +1984,36,0.6858195066452026,all,21-24 yrs,1326,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,105.51402282714844 +1984,36,0.6858195066452026,MVA,21-24 yrs,249,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,19.813718795776367 +1984,36,0.6858195066452026,suicide,21-24 yrs,137,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,10.901524543762207 +1984,36,0.6858195066452026,homicide,21-24 yrs,257,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,20.45030403137207 +1984,36,0.6858195066452026,other external,21-24 yrs,218,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,17.34695053100586 +1984,36,0.6858195066452026,internal,21-24 yrs,465,1256705,22.492900848388672,1,0.052935514599084854,1.149999976158142,0.49000000953674316,1.0299999713897705,2.6700000762939453,37.001522064208984 +1985,36,0.628068208694458,MVA,15-17 yrs,127,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,15.183940887451172 +1985,36,0.628068208694458,suicide,15-17 yrs,21,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,2.510730266571045 +1985,36,0.628068208694458,homicide,15-17 yrs,75,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,8.966894149780273 +1985,36,0.628068208694458,other external,15-17 yrs,59,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,7.053956985473633 +1985,36,0.628068208694458,internal,15-17 yrs,143,836410,15.997977256774902,0,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,17.096878051757812 +1985,36,0.628068208694458,all,18-20 yrs,756,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,83.48249816894531 +1985,36,0.628068208694458,MVA,18-20 yrs,216,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,23.852142333984375 +1985,36,0.628068208694458,suicide,18-20 yrs,72,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,7.950714588165283 +1985,36,0.628068208694458,homicide,18-20 yrs,140,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,15.459722518920898 +1985,36,0.628068208694458,other external,18-20 yrs,98,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,10.821805953979492 +1985,36,0.628068208694458,internal,18-20 yrs,230,905579,19.034549713134766,0.628068208694458,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,25.398115158081055 +1985,36,0.628068208694458,all,21-24 yrs,1284,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,101.680419921875 +1985,36,0.628068208694458,MVA,21-24 yrs,271,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,21.460586547851562 +1985,36,0.628068208694458,suicide,21-24 yrs,120,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,9.502842903137207 +1985,36,0.628068208694458,homicide,21-24 yrs,261,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,20.668684005737305 +1985,36,0.628068208694458,other external,21-24 yrs,183,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,14.491835594177246 +1985,36,0.628068208694458,internal,21-24 yrs,449,1262780,22.50145721435547,1,0.0511152409017086,1.1399999856948853,0.49000000953674316,0.9800000190734863,2.619999885559082,35.55646896362305 +1986,36,0,MVA,15-17 yrs,146,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,17.416366577148438 +1986,36,0,suicide,15-17 yrs,29,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,3.4594151973724365 +1986,36,0,homicide,15-17 yrs,46,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,5.4873480796813965 +1986,36,0,other external,15-17 yrs,61,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,7.276700496673584 +1986,36,0,internal,15-17 yrs,165,838292,16.000804901123047,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,19.682878494262695 +1986,36,0,all,18-20 yrs,810,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,92.735382080078125 +1986,36,0,MVA,18-20 yrs,249,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,28.507543563842773 +1986,36,0,suicide,18-20 yrs,79,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,9.044562339782715 +1986,36,0,homicide,18-20 yrs,172,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,19.691957473754883 +1986,36,0,other external,18-20 yrs,96,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,10.990859985351562 +1986,36,0,internal,18-20 yrs,214,873453,19.032962799072266,0,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,24.500459671020508 +1986,36,0,all,21-24 yrs,1421,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,113.37606048583984 +1986,36,0,MVA,21-24 yrs,261,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,20.824174880981445 +1986,36,0,suicide,21-24 yrs,114,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,9.095616340637207 +1986,36,0,homicide,21-24 yrs,315,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,25.13262367248535 +1986,36,0,other external,21-24 yrs,169,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,13.48385238647461 +1986,36,0,internal,21-24 yrs,562,1253351,22.510372161865234,1,0.05018248036503792,1.1299999952316284,0.5,0.9200000166893005,2.549999952316284,44.83979415893555 +1987,36,0,MVA,15-17 yrs,158,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,19.55476951599121 +1987,36,0,suicide,15-17 yrs,30,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,3.712930917739868 +1987,36,0,homicide,15-17 yrs,84,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,10.396206855773926 +1987,36,0,other external,15-17 yrs,61,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,7.549626350402832 +1987,36,0,internal,15-17 yrs,132,807987,16.04490852355957,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,16.336896896362305 +1987,36,0,all,18-20 yrs,816,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,95.49488830566406 +1987,36,0,MVA,18-20 yrs,243,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,28.437816619873047 +1987,36,0,suicide,18-20 yrs,60,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,7.0216827392578125 +1987,36,0,homicide,18-20 yrs,219,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.62914276123047 +1987,36,0,other external,18-20 yrs,84,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,9.83035659790039 +1987,36,0,internal,18-20 yrs,210,854496,19.020009994506836,0,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,24.575889587402344 +1987,36,0,all,21-24 yrs,1405,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,114.28850555419922 +1987,36,0,MVA,21-24 yrs,312,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.37936782836914 +1987,36,0,suicide,21-24 yrs,106,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,8.622477531433105 +1987,36,0,homicide,21-24 yrs,319,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,25.94877815246582 +1987,36,0,other external,21-24 yrs,144,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,11.713554382324219 +1987,36,0,internal,21-24 yrs,524,1229345,22.52711296081543,1,0.048415493220090866,1.149999976158142,0.47999998927116394,0.8999999761581421,2.5299999713897705,42.624324798583984 +1988,36,0,MVA,15-17 yrs,137,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,18.003314971923828 +1988,36,0,suicide,15-17 yrs,29,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,3.810920476913452 +1988,36,0,homicide,15-17 yrs,114,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,14.980859756469727 +1988,36,0,other external,15-17 yrs,65,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,8.541718482971191 +1988,36,0,internal,15-17 yrs,128,760971,16.068866729736328,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,16.820613861083984 +1988,36,0,all,18-20 yrs,836,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,97.819305419921875 +1988,36,0,MVA,18-20 yrs,225,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,26.326967239379883 +1988,36,0,suicide,18-20 yrs,57,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,6.669498443603516 +1988,36,0,homicide,18-20 yrs,238,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,27.848079681396484 +1988,36,0,other external,18-20 yrs,107,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,12.519935607910156 +1988,36,0,internal,18-20 yrs,209,854637,19.005155563354492,0,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,24.45482635498047 +1988,36,0,all,21-24 yrs,1411,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,117.43526458740234 +1988,36,0,MVA,21-24 yrs,280,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,23.303951263427734 +1988,36,0,suicide,21-24 yrs,85,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,7.074413776397705 +1988,36,0,homicide,21-24 yrs,365,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,30.37836456298828 +1988,36,0,other external,21-24 yrs,172,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,14.31528377532959 +1988,36,0,internal,21-24 yrs,509,1201513,22.539505004882812,1,0.046491969376802444,1.149999976158142,0.44999998807907104,0.8700000047683716,2.4700000286102295,42.36325454711914 +1989,36,0,MVA,15-17 yrs,110,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,15.56695556640625 +1989,36,0,suicide,15-17 yrs,38,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,5.377675533294678 +1989,36,0,homicide,15-17 yrs,119,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,16.84061622619629 +1989,36,0,other external,15-17 yrs,41,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,5.802228927612305 +1989,36,0,internal,15-17 yrs,115,706625,16.040904998779297,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,16.27454376220703 +1989,36,0,all,18-20 yrs,750,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,87.029876708984375 +1989,36,0,MVA,18-20 yrs,193,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,22.395689010620117 +1989,36,0,suicide,18-20 yrs,59,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,6.84635066986084 +1989,36,0,homicide,18-20 yrs,238,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,27.617481231689453 +1989,36,0,other external,18-20 yrs,53,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,6.150111675262451 +1989,36,0,internal,18-20 yrs,207,861773,19.007810592651367,0,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,24.020246505737305 +1989,36,0,all,21-24 yrs,1307,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,112.74258422851562 +1989,36,0,MVA,21-24 yrs,242,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,20.87506103515625 +1989,36,0,suicide,21-24 yrs,136,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,11.731439590454102 +1989,36,0,homicide,21-24 yrs,346,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,29.846162796020508 +1989,36,0,other external,21-24 yrs,119,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,10.265009880065918 +1989,36,0,internal,21-24 yrs,464,1159278,22.539752960205078,1,0.08870967477560043,1.1200000047683716,0.41999998688697815,0.8199999928474426,2.359999895095825,40.0249137878418 +1990,36,0,MVA,15-17 yrs,105,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,15.362848281860352 +1990,36,0,suicide,15-17 yrs,32,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,4.682011127471924 +1990,36,0,homicide,15-17 yrs,143,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,20.92273712158203 +1990,36,0,other external,15-17 yrs,36,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,5.2672624588012695 +1990,36,0,internal,15-17 yrs,112,683467,16.017234802246094,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,16.387039184570312 +1990,36,0,all,18-20 yrs,844,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,100.70265197753906 +1990,36,0,MVA,18-20 yrs,230,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,27.442665100097656 +1990,36,0,suicide,18-20 yrs,74,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,8.829379081726074 +1990,36,0,homicide,18-20 yrs,284,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,33.88572692871094 +1990,36,0,other external,18-20 yrs,53,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,6.323744773864746 +1990,36,0,internal,18-20 yrs,203,838111,19.052751541137695,0,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,24.22113609313965 +1990,36,0,all,21-24 yrs,1259,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,111.8546371459961 +1990,36,0,MVA,21-24 yrs,226,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,20.078750610351562 +1990,36,0,suicide,21-24 yrs,119,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,10.572440147399902 +1990,36,0,homicide,21-24 yrs,411,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,36.514896392822266 +1990,36,0,other external,21-24 yrs,92,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,8.173650741577148 +1990,36,0,internal,21-24 yrs,411,1125568,22.520700454711914,1,0.16067329049110413,1.1299999952316284,0.4099999964237213,0.7599999904632568,2.299999952316284,36.514896392822266 +1991,36,0,MVA,15-17 yrs,100,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,14.798174858093262 +1991,36,0,suicide,15-17 yrs,28,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,4.143488883972168 +1991,36,0,homicide,15-17 yrs,147,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,21.75331687927246 +1991,36,0,other external,15-17 yrs,43,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,6.363215446472168 +1991,36,0,internal,15-17 yrs,111,675759,16.00876235961914,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,16.425973892211914 +1991,36,0,all,18-20 yrs,769,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,98.6929931640625 +1991,36,0,MVA,18-20 yrs,176,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,22.587732315063477 +1991,36,0,suicide,18-20 yrs,73,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,9.368775367736816 +1991,36,0,homicide,18-20 yrs,289,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,37.090084075927734 +1991,36,0,other external,18-20 yrs,64,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,8.21372127532959 +1991,36,0,internal,18-20 yrs,167,779184,19.074079513549805,0,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,21.43267822265625 +1991,36,0,all,21-24 yrs,1236,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,111.93502807617188 +1991,36,0,MVA,21-24 yrs,251,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,22.731142044067383 +1991,36,0,suicide,21-24 yrs,113,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,10.233542442321777 +1991,36,0,homicide,21-24 yrs,409,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,37.03998947143555 +1991,36,0,other external,21-24 yrs,112,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,10.142979621887207 +1991,36,0,internal,21-24 yrs,351,1104212,22.49063491821289,1,0.15418502688407898,1.090000033378601,0.3700000047683716,0.6899999976158142,2.140000104904175,31.78737449645996 +1992,36,0,MVA,15-17 yrs,99,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,14.465986251831055 +1992,36,0,suicide,15-17 yrs,44,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,6.429327011108398 +1992,36,0,homicide,15-17 yrs,145,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,21.18755531311035 +1992,36,0,other external,15-17 yrs,32,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,4.67587423324585 +1992,36,0,internal,15-17 yrs,83,684364,16.001083374023438,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,12.12804889678955 +1992,36,0,all,18-20 yrs,647,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,89.861114501953125 +1992,36,0,MVA,18-20 yrs,129,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,17.91666603088379 +1992,36,0,suicide,18-20 yrs,72,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,10 +1992,36,0,homicide,18-20 yrs,251,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,34.86111068725586 +1992,36,0,other external,18-20 yrs,45,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,6.25 +1992,36,0,internal,18-20 yrs,150,720000,19.04899787902832,0,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,20.83333396911621 +1992,36,0,all,21-24 yrs,1212,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,110.65380859375 +1992,36,0,MVA,21-24 yrs,201,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,18.351001739501953 +1992,36,0,suicide,21-24 yrs,124,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,11.321016311645508 +1992,36,0,homicide,21-24 yrs,404,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,36.88460159301758 +1992,36,0,other external,21-24 yrs,109,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,9.951539039611816 +1992,36,0,internal,21-24 yrs,374,1095308,22.48435401916504,1,0.1496792435646057,1.0399999618530273,0.3700000047683716,0.6800000071525574,2.0899999141693115,34.14564514160156 +1993,36,0,MVA,15-17 yrs,83,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,12.074536323547363 +1993,36,0,suicide,15-17 yrs,27,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,3.927861213684082 +1993,36,0,homicide,15-17 yrs,136,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,19.78478240966797 +1993,36,0,other external,15-17 yrs,42,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,6.110006332397461 +1993,36,0,internal,15-17 yrs,99,687397,15.995163917541504,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,14.4021577835083 +1993,36,0,all,18-20 yrs,664,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,95.14570617675781 +1993,36,0,MVA,18-20 yrs,116,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,16.62183952331543 +1993,36,0,suicide,18-20 yrs,68,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,9.743837356567383 +1993,36,0,homicide,18-20 yrs,266,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,38.1156005859375 +1993,36,0,other external,18-20 yrs,52,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,7.451169967651367 +1993,36,0,internal,18-20 yrs,162,697877,19.017518997192383,0,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,23.213258743286133 +1993,36,0,all,21-24 yrs,1178,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,110.25843048095703 +1993,36,0,MVA,21-24 yrs,206,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,19.281187057495117 +1993,36,0,suicide,21-24 yrs,97,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,9.079005241394043 +1993,36,0,homicide,21-24 yrs,382,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,35.754432678222656 +1993,36,0,other external,21-24 yrs,126,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,11.793346405029297 +1993,36,0,internal,21-24 yrs,367,1068399,22.53204345703125,1,0.14532871544361115,1,0.3499999940395355,0.6200000047683716,1.9800000190734863,34.3504638671875 +1994,36,0,MVA,15-17 yrs,88,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,12.63833999633789 +1994,36,0,suicide,15-17 yrs,42,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,6.03193473815918 +1994,36,0,homicide,15-17 yrs,110,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,15.797924041748047 +1994,36,0,other external,15-17 yrs,35,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,5.026612281799316 +1994,36,0,internal,15-17 yrs,118,696294,16.00286293029785,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,16.94686508178711 +1994,36,0,all,18-20 yrs,657,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,95.50959777832031 +1994,36,0,MVA,18-20 yrs,147,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,21.369726181030273 +1994,36,0,suicide,18-20 yrs,74,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,10.757549285888672 +1994,36,0,homicide,18-20 yrs,230,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,33.43562698364258 +1994,36,0,other external,18-20 yrs,57,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,8.28622055053711 +1994,36,0,internal,18-20 yrs,149,687889,19.0123291015625,0,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,21.660470962524414 +1994,36,0,all,21-24 yrs,1020,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,100.1866226196289 +1994,36,0,MVA,21-24 yrs,176,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,17.2871036529541 +1994,36,0,suicide,21-24 yrs,125,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,12.277771949768066 +1994,36,0,homicide,21-24 yrs,301,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,29.564876556396484 +1994,36,0,other external,21-24 yrs,86,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,8.447107315063477 +1994,36,0,internal,21-24 yrs,332,1018100,22.578248977661133,1,0.1417004019021988,0.9800000190734863,0.3499999940395355,0.6000000238418579,1.9299999475479126,32.609764099121094 +1995,36,0,MVA,15-17 yrs,74,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.546733856201172 +1995,36,0,suicide,15-17 yrs,36,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,5.130843639373779 +1995,36,0,homicide,15-17 yrs,85,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,12.11449146270752 +1995,36,0,other external,15-17 yrs,39,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,5.558413982391357 +1995,36,0,internal,15-17 yrs,107,701639,15.992555618286133,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,15.250007629394531 +1995,36,0,all,18-20 yrs,575,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,82.91850280761719 +1995,36,0,MVA,18-20 yrs,136,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,19.612028121948242 +1995,36,0,suicide,18-20 yrs,56,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,8.075540542602539 +1995,36,0,homicide,18-20 yrs,167,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,24.082416534423828 +1995,36,0,other external,18-20 yrs,64,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,9.2291898727417 +1995,36,0,internal,18-20 yrs,152,693452,19.006786346435547,0,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,21.91932487487793 +1995,36,0,all,21-24 yrs,902,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,94.35501861572266 +1995,36,0,MVA,21-24 yrs,155,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,16.213998794555664 +1995,36,0,suicide,21-24 yrs,104,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.879071235656738 +1995,36,0,homicide,21-24 yrs,228,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,23.850271224975586 +1995,36,0,other external,21-24 yrs,96,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,10.042219161987305 +1995,36,0,internal,21-24 yrs,319,955964,22.582103729248047,1,0.13779526948928833,0.9800000190734863,0.3799999952316284,0.5699999928474426,1.9299999475479126,33.36945724487305 +1996,36,0,MVA,15-17 yrs,84,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.920625686645508 +1996,36,0,suicide,15-17 yrs,37,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,5.250751972198486 +1996,36,0,homicide,15-17 yrs,80,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.35297679901123 +1996,36,0,other external,15-17 yrs,47,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,6.6698737144470215 +1996,36,0,internal,15-17 yrs,98,704661,16.00113296508789,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,13.90739631652832 +1996,36,0,all,18-20 yrs,524,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,75.26680755615234 +1996,36,0,MVA,18-20 yrs,122,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,17.52395248413086 +1996,36,0,suicide,18-20 yrs,47,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,6.751030445098877 +1996,36,0,homicide,18-20 yrs,157,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,22.551315307617188 +1996,36,0,other external,18-20 yrs,58,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,8.331059455871582 +1996,36,0,internal,18-20 yrs,140,696190,19.001689910888672,0,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,20.109453201293945 +1996,36,0,all,21-24 yrs,782,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,86.3120346069336 +1996,36,0,MVA,21-24 yrs,153,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,16.88713836669922 +1996,36,0,suicide,21-24 yrs,81,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,8.9402494430542 +1996,36,0,homicide,21-24 yrs,180,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,19.867219924926758 +1996,36,0,other external,21-24 yrs,101,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,11.14771842956543 +1996,36,0,internal,21-24 yrs,267,906015,22.527637481689453,1,0.10197578370571136,0.9700000286102295,0.36000001430511475,0.5699999928474426,1.899999976158142,29.469711303710938 +1970,37,1,MVA,15-17 yrs,142,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,46.28860092163086 +1970,37,1,suicide,15-17 yrs,10,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,3.259760618209839 +1970,37,1,homicide,15-17 yrs,22,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,7.171473026275635 +1970,37,1,other external,15-17 yrs,75,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,24.448204040527344 +1970,37,1,internal,15-17 yrs,92,306771,15.993304252624512,0,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,29.989797592163086 +1970,37,1,all,18-20 yrs,472,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,147.7322235107422 +1970,37,1,MVA,18-20 yrs,214,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,66.98028564453125 +1970,37,1,suicide,18-20 yrs,22,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,6.885823726654053 +1970,37,1,homicide,18-20 yrs,38,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,11.893695831298828 +1970,37,1,other external,18-20 yrs,83,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,25.978334426879883 +1970,37,1,internal,18-20 yrs,115,319497,18.99605941772461,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,35.99407958984375 +1970,37,1,all,21-24 yrs,583,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,162.74642944335938 +1970,37,1,MVA,21-24 yrs,215,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,60.01797866821289 +1970,37,1,suicide,21-24 yrs,24,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,6.699681282043457 +1970,37,1,homicide,21-24 yrs,79,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,22.053117752075195 +1970,37,1,other external,21-24 yrs,117,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,32.660945892333984 +1970,37,1,internal,21-24 yrs,148,358226,22.37844467163086,1,1.376288652420044,0.7200000286102295,0.1599999964237213,0.9100000262260437,1.7899999618530273,41.314701080322266 +1971,37,1,MVA,15-17 yrs,147,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,46.77789306640625 +1971,37,1,suicide,15-17 yrs,12,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,3.818603515625 +1971,37,1,homicide,15-17 yrs,23,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,7.318990230560303 +1971,37,1,other external,15-17 yrs,70,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,22.275188446044922 +1971,37,1,internal,15-17 yrs,77,314251,15.995296478271484,0,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,24.50270652770996 +1971,37,1,all,18-20 yrs,503,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,154.1403350830078 +1971,37,1,MVA,18-20 yrs,235,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,72.01387786865234 +1971,37,1,suicide,18-20 yrs,25,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,7.661050796508789 +1971,37,1,homicide,18-20 yrs,46,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,14.096333503723145 +1971,37,1,other external,18-20 yrs,89,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,27.273340225219727 +1971,37,1,internal,18-20 yrs,108,326326,19.009634017944336,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,33.09573745727539 +1971,37,1,all,21-24 yrs,628,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,160.7486572265625 +1971,37,1,MVA,21-24 yrs,262,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,67.063934326171875 +1971,37,1,suicide,21-24 yrs,33,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,8.446983337402344 +1971,37,1,homicide,21-24 yrs,94,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,24.061105728149414 +1971,37,1,other external,21-24 yrs,87,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,22.26932144165039 +1971,37,1,internal,21-24 yrs,152,390672,22.48404312133789,1,1.3185185194015503,0.7799999713897705,0.20000000298023224,0.9100000262260437,1.8799999952316284,38.907318115234375 +1972,37,1,MVA,15-17 yrs,154,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,48.06776809692383 +1972,37,1,suicide,15-17 yrs,14,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,4.369797229766846 +1972,37,1,homicide,15-17 yrs,24,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,7.4910807609558105 +1972,37,1,other external,15-17 yrs,94,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,29.34006690979004 +1972,37,1,internal,15-17 yrs,92,320381,15.990998268127441,0,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,28.715810775756836 +1972,37,1,all,18-20 yrs,502,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,150.85902404785156 +1972,37,1,MVA,18-20 yrs,278,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,83.54344177246094 +1972,37,1,suicide,18-20 yrs,18,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,5.409287929534912 +1972,37,1,homicide,18-20 yrs,52,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,15.6268310546875 +1972,37,1,other external,18-20 yrs,86,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,25.844375610351562 +1972,37,1,internal,18-20 yrs,68,332761,19.007240295410156,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,20.435087203979492 +1972,37,1,all,21-24 yrs,704,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,176.4915313720703 +1972,37,1,MVA,21-24 yrs,272,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,68.189910888671875 +1972,37,1,suicide,21-24 yrs,42,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,10.529324531555176 +1972,37,1,homicide,21-24 yrs,106,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,26.57400894165039 +1972,37,1,other external,21-24 yrs,100,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,25.0698184967041 +1972,37,1,internal,21-24 yrs,184,398886,22.45625877380371,1,1.2775119543075562,0.800000011920929,0.20999999344348907,0.8700000047683716,1.8799999952316284,46.12846755981445 +1973,37,1,MVA,15-17 yrs,185,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,57.09506607055664 +1973,37,1,suicide,15-17 yrs,14,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,4.32070779800415 +1973,37,1,homicide,15-17 yrs,27,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,8.332793235778809 +1973,37,1,other external,15-17 yrs,85,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,26.232868194580078 +1973,37,1,internal,15-17 yrs,90,324021,15.998064994812012,0,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,27.775978088378906 +1973,37,1,all,18-20 yrs,525,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,154.43765258789062 +1973,37,1,MVA,18-20 yrs,243,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,71.482574462890625 +1973,37,1,suicide,18-20 yrs,40,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,11.766678810119629 +1973,37,1,homicide,18-20 yrs,58,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,17.061683654785156 +1973,37,1,other external,18-20 yrs,94,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,27.651695251464844 +1973,37,1,internal,18-20 yrs,90,339943,19.00482177734375,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,26.475027084350586 +1973,37,1,all,21-24 yrs,634,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,154.26504516601562 +1973,37,1,MVA,21-24 yrs,233,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,56.69361877441406 +1973,37,1,suicide,21-24 yrs,46,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,11.192731857299805 +1973,37,1,homicide,21-24 yrs,104,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,25.30530548095703 +1973,37,1,other external,21-24 yrs,102,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,24.818666458129883 +1973,37,1,internal,21-24 yrs,149,410981,22.460636138916016,1,1.2027026414871216,0.8700000047683716,0.20000000298023224,0.8700000047683716,1.940000057220459,36.25471878051758 +1974,37,1,MVA,15-17 yrs,145,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,44.36543655395508 +1974,37,1,suicide,15-17 yrs,18,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,5.5074334144592285 +1974,37,1,homicide,15-17 yrs,23,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,7.037276268005371 +1974,37,1,other external,15-17 yrs,88,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,26.925230026245117 +1974,37,1,internal,15-17 yrs,65,326831,16.00562286376953,0,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,19.887954711914062 +1974,37,1,all,18-20 yrs,479,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,137.714111328125 +1974,37,1,MVA,18-20 yrs,211,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,60.663211822509766 +1974,37,1,suicide,18-20 yrs,26,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,7.475087642669678 +1974,37,1,homicide,18-20 yrs,56,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,16.100189208984375 +1974,37,1,other external,18-20 yrs,84,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,24.150283813476562 +1974,37,1,internal,18-20 yrs,102,347822,19.007055282592773,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,29.32534408569336 +1974,37,1,all,21-24 yrs,590,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,141.0063018798828 +1974,37,1,MVA,21-24 yrs,200,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,47.79874801635742 +1974,37,1,suicide,21-24 yrs,50,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,11.949687004089355 +1974,37,1,homicide,21-24 yrs,90,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,21.509437561035156 +1974,37,1,other external,21-24 yrs,108,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,25.811323165893555 +1974,37,1,internal,21-24 yrs,142,418421,22.45990753173828,1,1.0831643342971802,0.9399999976158142,0.20999999344348907,0.8700000047683716,2.009999990463257,33.937110900878906 +1975,37,1,MVA,15-17 yrs,120,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,36.69881820678711 +1975,37,1,suicide,15-17 yrs,22,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,6.728116989135742 +1975,37,1,homicide,15-17 yrs,26,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,7.95141077041626 +1975,37,1,other external,15-17 yrs,76,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,23.242586135864258 +1975,37,1,internal,15-17 yrs,72,326986,15.999342918395996,0,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,22.019290924072266 +1975,37,1,all,18-20 yrs,476,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,133.85487365722656 +1975,37,1,MVA,18-20 yrs,207,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,58.209999084472656 +1975,37,1,suicide,18-20 yrs,50,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,14.060386657714844 +1975,37,1,homicide,18-20 yrs,41,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,11.52951717376709 +1975,37,1,other external,18-20 yrs,79,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,22.215410232543945 +1975,37,1,internal,18-20 yrs,99,355609,19.0036563873291,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,27.83956527709961 +1975,37,1,all,21-24 yrs,585,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,136.89173889160156 +1975,37,1,MVA,21-24 yrs,186,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,43.52455139160156 +1975,37,1,suicide,21-24 yrs,52,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,12.1681547164917 +1975,37,1,homicide,21-24 yrs,115,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,26.910341262817383 +1975,37,1,other external,21-24 yrs,88,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,20.592262268066406 +1975,37,1,internal,21-24 yrs,144,427345,22.463830947875977,1,0.9925650358200073,0.9599999785423279,0.23000000417232513,0.8600000143051147,2.049999952316284,33.69642639160156 +1976,37,1,MVA,15-17 yrs,149,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,45.424888610839844 +1976,37,1,suicide,15-17 yrs,19,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,5.792435646057129 +1976,37,1,homicide,15-17 yrs,13,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,3.963245391845703 +1976,37,1,other external,15-17 yrs,49,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,14.938386917114258 +1976,37,1,internal,15-17 yrs,58,328014,15.998784065246582,0,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,17.682172775268555 +1976,37,1,all,18-20 yrs,503,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,140.03028869628906 +1976,37,1,MVA,18-20 yrs,229,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,63.751365661621094 +1976,37,1,suicide,18-20 yrs,40,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,11.13560962677002 +1976,37,1,homicide,18-20 yrs,60,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,16.703414916992188 +1976,37,1,other external,18-20 yrs,73,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,20.322486877441406 +1976,37,1,internal,18-20 yrs,101,359208,19.01186180114746,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,28.117414474487305 +1976,37,1,all,21-24 yrs,581,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,134.616943359375 +1976,37,1,MVA,21-24 yrs,190,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,44.02275466918945 +1976,37,1,suicide,21-24 yrs,56,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,12.975127220153809 +1976,37,1,homicide,21-24 yrs,83,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,19.23099136352539 +1976,37,1,other external,21-24 yrs,112,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,25.950254440307617 +1976,37,1,internal,21-24 yrs,140,431595,22.459211349487305,1,0.9384885430335999,0.9900000095367432,0.23000000417232513,0.8700000047683716,2.0899999141693115,32.43781661987305 +1977,37,1,MVA,15-17 yrs,118,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,35.79336929321289 +1977,37,1,suicide,15-17 yrs,17,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,5.15667200088501 +1977,37,1,homicide,15-17 yrs,17,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,5.15667200088501 +1977,37,1,other external,15-17 yrs,55,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,16.683349609375 +1977,37,1,internal,15-17 yrs,71,329670,16.000085830688477,0,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,21.53668785095215 +1977,37,1,all,18-20 yrs,454,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,125.47675323486328 +1977,37,1,MVA,18-20 yrs,197,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,54.446964263916016 +1977,37,1,suicide,18-20 yrs,47,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,12.989884376525879 +1977,37,1,homicide,18-20 yrs,44,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,12.16074275970459 +1977,37,1,other external,18-20 yrs,91,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,25.15062713623047 +1977,37,1,internal,18-20 yrs,75,361820,19.01980209350586,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,20.728538513183594 +1977,37,1,all,21-24 yrs,591,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,134.9644775390625 +1977,37,1,MVA,21-24 yrs,209,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,47.728553771972656 +1977,37,1,suicide,21-24 yrs,66,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,15.072175025939941 +1977,37,1,homicide,21-24 yrs,87,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,19.86786651611328 +1977,37,1,other external,21-24 yrs,85,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,19.411134719848633 +1977,37,1,internal,21-24 yrs,144,437893,22.453514099121094,1,0.8811880946159363,1.0099999904632568,0.20000000298023224,0.8399999737739563,2.049999952316284,32.88474655151367 +1978,37,1,MVA,15-17 yrs,131,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,39.77157211303711 +1978,37,1,suicide,15-17 yrs,16,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,4.857596397399902 +1978,37,1,homicide,15-17 yrs,9,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,2.73239803314209 +1978,37,1,other external,15-17 yrs,68,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,20.644784927368164 +1978,37,1,internal,15-17 yrs,60,329381,16.002368927001953,0,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,18.215986251831055 +1978,37,1,all,18-20 yrs,468,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,128.69447326660156 +1978,37,1,MVA,18-20 yrs,233,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,64.0722427368164 +1978,37,1,suicide,18-20 yrs,31,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,8.524633407592773 +1978,37,1,homicide,18-20 yrs,45,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,12.374467849731445 +1978,37,1,other external,18-20 yrs,80,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,21.999053955078125 +1978,37,1,internal,18-20 yrs,79,363652,19.01510238647461,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,21.72406578063965 +1978,37,1,all,21-24 yrs,564,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,126.2728042602539 +1978,37,1,MVA,21-24 yrs,194,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,43.434261322021484 +1978,37,1,suicide,21-24 yrs,55,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,12.313837051391602 +1978,37,1,homicide,21-24 yrs,107,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,23.956010818481445 +1978,37,1,other external,21-24 yrs,86,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,19.254364013671875 +1978,37,1,internal,21-24 yrs,122,446652,22.4483699798584,1,0.8190184235572815,1.059999942779541,0.20000000298023224,0.8600000143051147,2.119999885559082,27.314329147338867 +1979,37,1,MVA,15-17 yrs,124,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,37.81340789794922 +1979,37,1,suicide,15-17 yrs,22,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,6.708830833435059 +1979,37,1,homicide,15-17 yrs,14,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,4.269255638122559 +1979,37,1,other external,15-17 yrs,57,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,17.381969451904297 +1979,37,1,internal,15-17 yrs,59,327926,16.004587173461914,0,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,17.991863250732422 +1979,37,1,all,18-20 yrs,442,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,121.24171447753906 +1979,37,1,MVA,18-20 yrs,211,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,57.877830505371094 +1979,37,1,suicide,18-20 yrs,36,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,9.874890327453613 +1979,37,1,homicide,18-20 yrs,48,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,13.166521072387695 +1979,37,1,other external,18-20 yrs,76,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,20.84699058532715 +1979,37,1,internal,18-20 yrs,71,364561,19.014732360839844,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,19.475479125976562 +1979,37,1,all,21-24 yrs,586,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,130.49742126464844 +1979,37,1,MVA,21-24 yrs,230,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,51.2191276550293 +1979,37,1,suicide,21-24 yrs,61,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,13.584202766418457 +1979,37,1,homicide,21-24 yrs,72,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,16.0338134765625 +1979,37,1,other external,21-24 yrs,93,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,20.710342407226562 +1979,37,1,internal,21-24 yrs,130,449051,22.451929092407227,1,0.7355371713638306,1.0800000429153442,0.2199999988079071,0.8799999952316284,2.180000066757202,28.949941635131836 +1980,37,1,MVA,15-17 yrs,135,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,41.933929443359375 +1980,37,1,suicide,15-17 yrs,23,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,7.144299507141113 +1980,37,1,homicide,15-17 yrs,12,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,3.7274606227874756 +1980,37,1,other external,15-17 yrs,49,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,15.220463752746582 +1980,37,1,internal,15-17 yrs,75,321935,16.017351150512695,0,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,23.296628952026367 +1980,37,1,all,18-20 yrs,477,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,130.1934051513672 +1980,37,1,MVA,18-20 yrs,225,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,61.411983489990234 +1980,37,1,suicide,18-20 yrs,48,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,13.10122299194336 +1980,37,1,homicide,18-20 yrs,47,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,12.82828140258789 +1980,37,1,other external,18-20 yrs,77,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,21.01654624938965 +1980,37,1,internal,18-20 yrs,80,366378,19.025978088378906,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,21.835372924804688 +1980,37,1,all,21-24 yrs,606,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,132.0238494873047 +1980,37,1,MVA,21-24 yrs,223,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,48.583030700683594 +1980,37,1,suicide,21-24 yrs,61,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,13.289528846740723 +1980,37,1,homicide,21-24 yrs,83,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,18.082473754882812 +1980,37,1,other external,21-24 yrs,109,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,23.746862411499023 +1980,37,1,internal,21-24 yrs,130,459008,22.455810546875,1,0.6480582356452942,1.1100000143051147,0.20000000298023224,0.8600000143051147,2.1700000762939453,28.32194709777832 +1981,37,1,MVA,15-17 yrs,117,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,37.646484375 +1981,37,1,suicide,15-17 yrs,22,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,7.078825950622559 +1981,37,1,homicide,15-17 yrs,16,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,5.148237228393555 +1981,37,1,other external,15-17 yrs,39,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,12.548828125 +1981,37,1,internal,15-17 yrs,63,310786,16.03426170349121,0,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,20.271183013916016 +1981,37,1,all,18-20 yrs,432,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,120.23278045654297 +1981,37,1,MVA,18-20 yrs,206,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,57.33322525024414 +1981,37,1,suicide,18-20 yrs,40,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,11.132665634155273 +1981,37,1,homicide,18-20 yrs,36,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,10.01939868927002 +1981,37,1,other external,18-20 yrs,59,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,16.42068099975586 +1981,37,1,internal,18-20 yrs,91,359303,19.04633331298828,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,25.326812744140625 +1981,37,1,all,21-24 yrs,550,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,115.96012115478516 +1981,37,1,MVA,21-24 yrs,235,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,49.54659652709961 +1981,37,1,suicide,21-24 yrs,62,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,13.071867942810059 +1981,37,1,homicide,21-24 yrs,84,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,17.71027183532715 +1981,37,1,other external,21-24 yrs,66,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,13.915214538574219 +1981,37,1,internal,21-24 yrs,103,474301,22.46593475341797,1,0.5874587297439575,1.100000023841858,0.20999999344348907,0.8600000143051147,2.1700000762939453,21.716167449951172 +1982,37,1,MVA,15-17 yrs,100,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,33.366031646728516 +1982,37,1,suicide,15-17 yrs,29,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,9.676149368286133 +1982,37,1,homicide,15-17 yrs,24,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,8.007847785949707 +1982,37,1,other external,15-17 yrs,29,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,9.676149368286133 +1982,37,1,internal,15-17 yrs,48,299706,16.025941848754883,0,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,16.015695571899414 +1982,37,1,all,18-20 yrs,381,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,109.03596496582031 +1982,37,1,MVA,18-20 yrs,173,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,49.509765625 +1982,37,1,suicide,18-20 yrs,45,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,12.878263473510742 +1982,37,1,homicide,18-20 yrs,39,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,11.161161422729492 +1982,37,1,other external,18-20 yrs,48,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,13.736814498901367 +1982,37,1,internal,18-20 yrs,76,349426,19.036170959472656,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,21.749956130981445 +1982,37,1,all,21-24 yrs,501,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,103.27256774902344 +1982,37,1,MVA,21-24 yrs,185,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,38.134578704833984 +1982,37,1,suicide,21-24 yrs,74,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,15.25383186340332 +1982,37,1,homicide,21-24 yrs,66,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,13.604768753051758 +1982,37,1,other external,21-24 yrs,74,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,15.25383186340332 +1982,37,1,internal,21-24 yrs,102,485124,22.473342895507812,1,0.5533678531646729,1.0700000524520874,0.20999999344348907,0.8500000238418579,2.130000114440918,21.02555274963379 +1983,37,0.9221815466880798,MVA,15-17 yrs,111,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,38.07237243652344 +1983,37,0.9221815466880798,suicide,15-17 yrs,11,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,3.772937774658203 +1983,37,0.9221815466880798,homicide,15-17 yrs,6,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,2.0579659938812256 +1983,37,0.9221815466880798,other external,15-17 yrs,48,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,16.463727951049805 +1983,37,0.9221815466880798,internal,15-17 yrs,46,291550,16.011484146118164,0,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,15.777739524841309 +1983,37,0.9221815466880798,all,18-20 yrs,320,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,93.32221221923828 +1983,37,0.9221815466880798,MVA,18-20 yrs,160,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,46.66110610961914 +1983,37,0.9221815466880798,suicide,18-20 yrs,26,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,7.582429885864258 +1983,37,0.9221815466880798,homicide,18-20 yrs,39,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.373644828796387 +1983,37,0.9221815466880798,other external,18-20 yrs,38,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.082013130187988 +1983,37,0.9221815466880798,internal,18-20 yrs,57,342898,19.037797927856445,0.9221815466880798,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,16.623018264770508 +1983,37,0.9221815466880798,all,21-24 yrs,484,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,98.9862060546875 +1983,37,0.9221815466880798,MVA,21-24 yrs,176,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,35.9949836730957 +1983,37,0.9221815466880798,suicide,21-24 yrs,74,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,15.134255409240723 +1983,37,0.9221815466880798,homicide,21-24 yrs,56,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,11.452949523925781 +1983,37,0.9221815466880798,other external,21-24 yrs,73,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,14.92973804473877 +1983,37,0.9221815466880798,internal,21-24 yrs,105,488957,22.498249053955078,1,0.5361445546150208,1.100000023841858,0.2199999988079071,0.800000011920929,2.119999885559082,21.474281311035156 +1984,37,0.6991451978683472,MVA,15-17 yrs,101,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,34.618797302246094 +1984,37,0.6991451978683472,suicide,15-17 yrs,22,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,7.540728569030762 +1984,37,0.6991451978683472,homicide,15-17 yrs,12,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,4.113124847412109 +1984,37,0.6991451978683472,other external,15-17 yrs,39,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,13.367654800415039 +1984,37,0.6991451978683472,internal,15-17 yrs,50,291749,16.002107620239258,0,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,17.138019561767578 +1984,37,0.6991451978683472,all,18-20 yrs,316,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,93.82506561279297 +1984,37,0.6991451978683472,MVA,18-20 yrs,147,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,43.64646911621094 +1984,37,0.6991451978683472,suicide,18-20 yrs,44,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,13.064249038696289 +1984,37,0.6991451978683472,homicide,18-20 yrs,23,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,6.829039573669434 +1984,37,0.6991451978683472,other external,18-20 yrs,39,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,11.579675674438477 +1984,37,0.6991451978683472,internal,18-20 yrs,63,336797,19.05579948425293,0.6991451978683472,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,18.705629348754883 +1984,37,0.6991451978683472,all,21-24 yrs,551,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,113.25028228759766 +1984,37,0.6991451978683472,MVA,21-24 yrs,222,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,45.628971099853516 +1984,37,0.6991451978683472,suicide,21-24 yrs,63,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,12.948761940002441 +1984,37,0.6991451978683472,homicide,21-24 yrs,71,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,14.593049049377441 +1984,37,0.6991451978683472,other external,21-24 yrs,86,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,17.676088333129883 +1984,37,0.6991451978683472,internal,21-24 yrs,109,486533,22.520008087158203,1,0.5139557123184204,1.1100000143051147,0.23999999463558197,0.7799999713897705,2.130000114440918,22.403413772583008 +1985,37,0.6938849091529846,MVA,15-17 yrs,104,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,35.11674499511719 +1985,37,0.6938849091529846,suicide,15-17 yrs,28,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,9.454508781433105 +1985,37,0.6938849091529846,homicide,15-17 yrs,14,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,4.727254390716553 +1985,37,0.6938849091529846,other external,15-17 yrs,32,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,10.805152893066406 +1985,37,0.6938849091529846,internal,15-17 yrs,45,296155,15.991754531860352,0,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,15.194746017456055 +1985,37,0.6938849091529846,all,18-20 yrs,380,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,115.05354309082031 +1985,37,0.6938849091529846,MVA,18-20 yrs,178,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,53.89350128173828 +1985,37,0.6938849091529846,suicide,18-20 yrs,36,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,10.899809837341309 +1985,37,0.6938849091529846,homicide,18-20 yrs,30,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,9.083174705505371 +1985,37,0.6938849091529846,other external,18-20 yrs,64,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,19.377439498901367 +1985,37,0.6938849091529846,internal,18-20 yrs,72,330281,19.050390243530273,0.6938849091529846,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,21.799619674682617 +1985,37,0.6938849091529846,all,21-24 yrs,567,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,117.49687957763672 +1985,37,0.6938849091529846,MVA,21-24 yrs,247,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,51.18470764160156 +1985,37,0.6938849091529846,suicide,21-24 yrs,64,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,13.262434959411621 +1985,37,0.6938849091529846,homicide,21-24 yrs,69,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,14.298562049865723 +1985,37,0.6938849091529846,other external,21-24 yrs,85,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,17.61417007446289 +1985,37,0.6938849091529846,internal,21-24 yrs,102,482566,22.520814895629883,1,0.49628251791000366,1.090000033378601,0.27000001072883606,0.7599999904632568,2.130000114440918,21.137004852294922 +1986,37,0.45934799313545227,MVA,15-17 yrs,121,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,39.7860107421875 +1986,37,0.45934799313545227,suicide,15-17 yrs,23,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,7.5626301765441895 +1986,37,0.45934799313545227,homicide,15-17 yrs,10,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,3.288100004196167 +1986,37,0.45934799313545227,other external,15-17 yrs,27,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,8.877870559692383 +1986,37,0.45934799313545227,internal,15-17 yrs,57,304127,15.988846778869629,0,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,18.742170333862305 +1986,37,0.45934799313545227,all,18-20 yrs,369,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,114.02014923095703 +1986,37,0.45934799313545227,MVA,18-20 yrs,181,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,55.928585052490234 +1986,37,0.45934799313545227,suicide,18-20 yrs,43,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,13.286901473999023 +1986,37,0.45934799313545227,homicide,18-20 yrs,36,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,11.123917579650879 +1986,37,0.45934799313545227,other external,18-20 yrs,57,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,17.612869262695312 +1986,37,0.45934799313545227,internal,18-20 yrs,52,323627,19.03837776184082,0.45934799313545227,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,16.067880630493164 +1986,37,0.45934799313545227,all,21-24 yrs,567,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,121.03849792480469 +1986,37,0.45934799313545227,MVA,21-24 yrs,242,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,51.66017150878906 +1986,37,0.45934799313545227,suicide,21-24 yrs,51,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,10.887060165405273 +1986,37,0.45934799313545227,homicide,21-24 yrs,89,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,18.998987197875977 +1986,37,0.45934799313545227,other external,21-24 yrs,69,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,14.729552268981934 +1986,37,0.45934799313545227,internal,21-24 yrs,116,468446,22.51096534729004,1,0.487226277589798,1.1200000047683716,0.30000001192092896,0.7400000095367432,2.1500000953674316,24.762725830078125 +1987,37,0,MVA,15-17 yrs,129,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,42.59028244018555 +1987,37,0,suicide,15-17 yrs,23,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,7.593616008758545 +1987,37,0,homicide,15-17 yrs,13,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,4.292043685913086 +1987,37,0,other external,15-17 yrs,21,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,6.9333014488220215 +1987,37,0,internal,15-17 yrs,46,302886,16.023202896118164,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,15.18723201751709 +1987,37,0,all,18-20 yrs,337,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,103.14295196533203 +1987,37,0,MVA,18-20 yrs,166,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,50.80632019042969 +1987,37,0,suicide,18-20 yrs,34,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,10.406113624572754 +1987,37,0,homicide,18-20 yrs,42,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,12.85461139678955 +1987,37,0,other external,18-20 yrs,39,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,11.93642520904541 +1987,37,0,internal,18-20 yrs,56,326731,19.028987884521484,0,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,17.139482498168945 +1987,37,0,all,21-24 yrs,529,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,115.9010009765625 +1987,37,0,MVA,21-24 yrs,230,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,50.39174270629883 +1987,37,0,suicide,21-24 yrs,65,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,14.241144180297852 +1987,37,0,homicide,21-24 yrs,72,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,15.774806022644043 +1987,37,0,other external,21-24 yrs,62,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,13.583860397338867 +1987,37,0,internal,21-24 yrs,100,456424,22.5142879486084,1,0.47007042169570923,1.1100000143051147,0.2800000011920929,0.7099999785423279,2.0999999046325684,21.909452438354492 +1988,37,0,MVA,15-17 yrs,102,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,34.69777297973633 +1988,37,0,suicide,15-17 yrs,17,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,5.782961845397949 +1988,37,0,homicide,15-17 yrs,14,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,4.762439250946045 +1988,37,0,other external,15-17 yrs,41,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,13.9471435546875 +1988,37,0,internal,15-17 yrs,43,293967,16.05336570739746,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,14.62749195098877 +1988,37,0,all,18-20 yrs,327,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,97.96197509765625 +1988,37,0,MVA,18-20 yrs,180,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,53.92402267456055 +1988,37,0,suicide,18-20 yrs,29,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,8.6877593994140625 +1988,37,0,homicide,18-20 yrs,33,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,9.886070251464844 +1988,37,0,other external,18-20 yrs,31,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,9.286914825439453 +1988,37,0,internal,18-20 yrs,54,333803,19.018436431884766,0,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,16.17720603942871 +1988,37,0,all,21-24 yrs,493,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,110.47742462158203 +1988,37,0,MVA,21-24 yrs,190,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,42.57750701904297 +1988,37,0,suicide,21-24 yrs,49,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,10.980515480041504 +1988,37,0,homicide,21-24 yrs,54,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,12.10097599029541 +1988,37,0,other external,21-24 yrs,76,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,17.031003952026367 +1988,37,0,internal,21-24 yrs,124,446245,22.5148868560791,1,0.4513947367668152,1.1200000047683716,0.2800000011920929,0.6800000071525574,2.0899999141693115,27.787425994873047 +1989,37,0,MVA,15-17 yrs,86,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,30.890249252319336 +1989,37,0,suicide,15-17 yrs,21,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,7.542967796325684 +1989,37,0,homicide,15-17 yrs,25,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,8.979723930358887 +1989,37,0,other external,15-17 yrs,25,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,8.979723930358887 +1989,37,0,internal,15-17 yrs,41,278405,16.040462493896484,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,14.726746559143066 +1989,37,0,all,18-20 yrs,354,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,102.29883575439453 +1989,37,0,MVA,18-20 yrs,167,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,48.259620666503906 +1989,37,0,suicide,18-20 yrs,48,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,13.871027946472168 +1989,37,0,homicide,18-20 yrs,34,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,9.825311660766602 +1989,37,0,other external,18-20 yrs,36,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,10.403271675109863 +1989,37,0,internal,18-20 yrs,69,346045,19.01780128479004,0,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,19.939603805541992 +1989,37,0,all,21-24 yrs,508,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,116.02597045898438 +1989,37,0,MVA,21-24 yrs,190,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,43.39554214477539 +1989,37,0,suicide,21-24 yrs,66,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,15.074240684509277 +1989,37,0,homicide,21-24 yrs,94,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,21.46937370300293 +1989,37,0,other external,21-24 yrs,50,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,11.419878959655762 +1989,37,0,internal,21-24 yrs,108,437833,22.495567321777344,1,0.4306451380252838,1.1299999952316284,0.27000001072883606,0.6600000262260437,2.059999942779541,24.66693878173828 +1990,37,0,MVA,15-17 yrs,93,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,34.23636245727539 +1990,37,0,suicide,15-17 yrs,31,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.412120819091797 +1990,37,0,homicide,15-17 yrs,30,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.043988227844238 +1990,37,0,other external,15-17 yrs,22,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,8.09892463684082 +1990,37,0,internal,15-17 yrs,39,271641,16.01762580871582,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,14.357184410095215 +1990,37,0,all,18-20 yrs,373,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,106.85198974609375 +1990,37,0,MVA,18-20 yrs,156,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,44.68877029418945 +1990,37,0,suicide,18-20 yrs,40,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.458658218383789 +1990,37,0,homicide,18-20 yrs,64,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,18.33385467529297 +1990,37,0,other external,18-20 yrs,48,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,13.75039005279541 +1990,37,0,internal,18-20 yrs,65,349081,19.056087493896484,0,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,18.620319366455078 +1990,37,0,all,21-24 yrs,506,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,115.9234390258789 +1990,37,0,MVA,21-24 yrs,151,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,34.593753814697266 +1990,37,0,suicide,21-24 yrs,74,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,16.953229904174805 +1990,37,0,homicide,21-24 yrs,92,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,21.076988220214844 +1990,37,0,other external,21-24 yrs,51,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,11.683982849121094 +1990,37,0,internal,21-24 yrs,138,436495,22.464252471923828,1,0.40856924653053284,1.159999966621399,0.27000001072883606,0.6499999761581421,2.0799999237060547,31.615482330322266 +1991,37,0,MVA,15-17 yrs,90,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,33.683265686035156 +1991,37,0,suicide,15-17 yrs,23,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.607945442199707 +1991,37,0,homicide,15-17 yrs,40,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,14.97033977508545 +1991,37,0,other external,15-17 yrs,24,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.98220443725586 +1991,37,0,internal,15-17 yrs,39,267195,16.01874351501465,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,14.596081733703613 +1991,37,0,all,18-20 yrs,360,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,109.70191192626953 +1991,37,0,MVA,18-20 yrs,126,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,38.39567184448242 +1991,37,0,suicide,18-20 yrs,45,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,13.712738990783691 +1991,37,0,homicide,18-20 yrs,91,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,27.730205535888672 +1991,37,0,other external,18-20 yrs,36,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,10.970191955566406 +1991,37,0,internal,18-20 yrs,62,328162,19.08997344970703,0,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,18.893108367919922 +1991,37,0,all,21-24 yrs,489,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,108.9441146850586 +1991,37,0,MVA,21-24 yrs,147,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,32.75006866455078 +1991,37,0,suicide,21-24 yrs,56,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,12.476217269897461 +1991,37,0,homicide,21-24 yrs,135,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,30.076595306396484 +1991,37,0,other external,21-24 yrs,39,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,8.688794136047363 +1991,37,0,internal,21-24 yrs,112,448854,22.44797134399414,1,0.392070472240448,1.1100000143051147,0.23999999463558197,0.6000000238418579,1.9600000381469727,24.952434539794922 +1992,37,0,MVA,15-17 yrs,91,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,33.563236236572266 +1992,37,0,suicide,15-17 yrs,28,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.327149391174316 +1992,37,0,homicide,15-17 yrs,32,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,11.802456855773926 +1992,37,0,other external,15-17 yrs,25,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,9.22066879272461 +1992,37,0,internal,15-17 yrs,40,271130,16.003448486328125,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,14.753070831298828 +1992,37,0,all,18-20 yrs,334,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,110.10674285888672 +1992,37,0,MVA,18-20 yrs,125,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,41.20761489868164 +1992,37,0,suicide,18-20 yrs,39,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,12.856775283813477 +1992,37,0,homicide,18-20 yrs,78,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,25.713550567626953 +1992,37,0,other external,18-20 yrs,31,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.219488143920898 +1992,37,0,internal,18-20 yrs,61,303342,19.067594528198242,0,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,20.109315872192383 +1992,37,0,all,21-24 yrs,491,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,106.91461181640625 +1992,37,0,MVA,21-24 yrs,151,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,32.88005447387695 +1992,37,0,suicide,21-24 yrs,65,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,14.153665542602539 +1992,37,0,homicide,21-24 yrs,112,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,24.387853622436523 +1992,37,0,other external,21-24 yrs,46,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,10.016440391540527 +1992,37,0,internal,21-24 yrs,117,459245,22.45246124267578,1,0.38061293959617615,1.1399999856948853,0.23000000417232513,0.5899999737739563,1.9600000381469727,25.47659683227539 +1993,37,0,MVA,15-17 yrs,84,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,30.452436447143555 +1993,37,0,suicide,15-17 yrs,25,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,9.063224792480469 +1993,37,0,homicide,15-17 yrs,36,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,13.051044464111328 +1993,37,0,other external,15-17 yrs,35,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.688514709472656 +1993,37,0,internal,15-17 yrs,44,275840,15.989051818847656,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,15.951275825500488 +1993,37,0,all,18-20 yrs,347,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,118.33270263671875 +1993,37,0,MVA,18-20 yrs,137,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,46.7192497253418 +1993,37,0,suicide,18-20 yrs,41,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,13.981674194335938 +1993,37,0,homicide,18-20 yrs,81,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,27.622331619262695 +1993,37,0,other external,18-20 yrs,38,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.958624839782715 +1993,37,0,internal,18-20 yrs,50,293241,19.033357620239258,0,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,17.05082130432129 +1993,37,0,all,21-24 yrs,517,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,112.73538970947266 +1993,37,0,MVA,21-24 yrs,174,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,37.941890716552734 +1993,37,0,suicide,21-24 yrs,57,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,12.429240226745605 +1993,37,0,homicide,21-24 yrs,123,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,26.820993423461914 +1993,37,0,other external,21-24 yrs,52,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,11.338955879211426 +1993,37,0,internal,21-24 yrs,111,458596,22.509260177612305,1,0.3695501685142517,1.1399999856948853,0.2199999988079071,0.5600000023841858,1.9199999570846558,24.20431137084961 +1994,37,0,MVA,15-17 yrs,88,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,30.924501419067383 +1994,37,0,suicide,15-17 yrs,35,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.299517631530762 +1994,37,0,homicide,15-17 yrs,35,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.299517631530762 +1994,37,0,other external,15-17 yrs,24,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,8.433955192565918 +1994,37,0,internal,15-17 yrs,42,284564,15.99604320526123,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,14.759421348571777 +1994,37,0,all,18-20 yrs,374,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,129.1155548095703 +1994,37,0,MVA,18-20 yrs,147,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,50.748626708984375 +1994,37,0,suicide,18-20 yrs,55,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,18.987581253051758 +1994,37,0,homicide,18-20 yrs,72,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,24.85647201538086 +1994,37,0,other external,18-20 yrs,37,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.77346420288086 +1994,37,0,internal,18-20 yrs,63,289663,19.033296585083008,0,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,21.749412536621094 +1994,37,0,all,21-24 yrs,554,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,125.02397918701172 +1994,37,0,MVA,21-24 yrs,162,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,36.559356689453125 +1994,37,0,suicide,21-24 yrs,80,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,18.054004669189453 +1994,37,0,homicide,21-24 yrs,134,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,30.24045753479004 +1994,37,0,other external,21-24 yrs,56,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,12.637803077697754 +1994,37,0,internal,21-24 yrs,122,443115,22.569377899169922,1,0.36032387614250183,1.1399999856948853,0.20999999344348907,0.5400000214576721,1.8899999856948853,27.53235626220703 +1995,37,0,MVA,15-17 yrs,90,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,30.791547775268555 +1995,37,0,suicide,15-17 yrs,30,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,10.263849258422852 +1995,37,0,homicide,15-17 yrs,30,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,10.263849258422852 +1995,37,0,other external,15-17 yrs,23,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,7.868951320648193 +1995,37,0,internal,15-17 yrs,43,292288,15.985151290893555,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,14.711517333984375 +1995,37,0,all,18-20 yrs,367,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,124.92893981933594 +1995,37,0,MVA,18-20 yrs,136,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,46.29519271850586 +1995,37,0,suicide,18-20 yrs,51,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,17.36069679260254 +1995,37,0,homicide,18-20 yrs,74,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,25.190031051635742 +1995,37,0,other external,18-20 yrs,42,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,14.29704475402832 +1995,37,0,internal,18-20 yrs,64,293767,19.023624420166016,0,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,21.785972595214844 +1995,37,0,all,21-24 yrs,476,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,112.51651763916016 +1995,37,0,MVA,21-24 yrs,150,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,35.456886291503906 +1995,37,0,suicide,21-24 yrs,64,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,15.128271102905273 +1995,37,0,homicide,21-24 yrs,103,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,24.347061157226562 +1995,37,0,other external,21-24 yrs,36,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,8.509652137756348 +1995,37,0,internal,21-24 yrs,123,423049,22.58163070678711,1,0.35039371252059937,1.1200000047683716,0.2199999988079071,0.5299999713897705,1.8600000143051147,29.07464599609375 +1996,37,0,MVA,15-17 yrs,91,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,30.49158477783203 +1996,37,0,suicide,15-17 yrs,28,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,9.382025718688965 +1996,37,0,homicide,15-17 yrs,23,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,7.706664085388184 +1996,37,0,other external,15-17 yrs,22,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,7.371592044830322 +1996,37,0,internal,15-17 yrs,54,298443,15.990540504455566,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,18.093908309936523 +1996,37,0,all,18-20 yrs,331,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,111.37956237792969 +1996,37,0,MVA,18-20 yrs,139,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,46.77268600463867 +1996,37,0,suicide,18-20 yrs,41,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,13.796259880065918 +1996,37,0,homicide,18-20 yrs,73,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,24.564071655273438 +1996,37,0,other external,18-20 yrs,33,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,11.1043062210083 +1996,37,0,internal,18-20 yrs,45,297182,19.011777877807617,0,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,15.14223575592041 +1996,37,0,all,21-24 yrs,482,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,119.81257629394531 +1996,37,0,MVA,21-24 yrs,164,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,40.76610565185547 +1996,37,0,suicide,21-24 yrs,68,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,16.903018951416016 +1996,37,0,homicide,21-24 yrs,89,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,22.123069763183594 +1996,37,0,other external,21-24 yrs,46,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,11.434394836425781 +1996,37,0,internal,21-24 yrs,115,402295,22.53197479248047,1,0.3403441607952118,1.1399999856948853,0.23999999463558197,0.5199999809265137,1.899999976158142,28.585987091064453 +1970,38,0,MVA,15-17 yrs,13,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,32.107486724853516 +1970,38,0,suicide,15-17 yrs,0,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,homicide,15-17 yrs,0,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,other external,15-17 yrs,9,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,22.228260040283203 +1970,38,0,internal,15-17 yrs,9,40489,15.989280700683594,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,22.228260040283203 +1970,38,0,all,18-20 yrs,51,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,143.00936889648438 +1970,38,0,MVA,18-20 yrs,24,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,67.29852294921875 +1970,38,0,suicide,18-20 yrs,6,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,16.824630737304688 +1970,38,0,homicide,18-20 yrs,2,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,5.608210563659668 +1970,38,0,other external,18-20 yrs,9,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,25.23694610595703 +1970,38,0,internal,18-20 yrs,10,35662,18.958078384399414,0,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,28.041051864624023 +1970,38,0,all,21-24 yrs,47,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,125.53754425048828 +1970,38,0,MVA,21-24 yrs,25,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,66.7752914428711 +1970,38,0,suicide,21-24 yrs,1,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,2.671011447906494 +1970,38,0,homicide,21-24 yrs,0,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,0 +1970,38,0,other external,21-24 yrs,10,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,26.710115432739258 +1970,38,0,internal,21-24 yrs,11,37439,22.356340408325195,1,0.41237112879753113,1.2100000381469727,0.10999999940395355,1.0199999809265137,2.3399999141693115,29.381126403808594 +1971,38,0,MVA,15-17 yrs,25,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,60.39960479736328 +1971,38,0,suicide,15-17 yrs,3,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,7.247952461242676 +1971,38,0,homicide,15-17 yrs,1,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.4159841537475586 +1971,38,0,other external,15-17 yrs,9,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,21.74385643005371 +1971,38,0,internal,15-17 yrs,9,41391,15.987533569335938,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,21.74385643005371 +1971,38,0,all,18-20 yrs,51,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,135.92750549316406 +1971,38,0,MVA,18-20 yrs,39,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,103.94456481933594 +1971,38,0,suicide,18-20 yrs,1,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.665245294570923 +1971,38,0,homicide,18-20 yrs,1,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.665245294570923 +1971,38,0,other external,18-20 yrs,5,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,13.326226234436035 +1971,38,0,internal,18-20 yrs,5,37520,18.988407135009766,0,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,13.326226234436035 +1971,38,0,all,21-24 yrs,49,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,114.70842742919922 +1971,38,0,MVA,21-24 yrs,25,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,58.52470779418945 +1971,38,0,suicide,21-24 yrs,6,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,14.045929908752441 +1971,38,0,homicide,21-24 yrs,1,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,2.3409883975982666 +1971,38,0,other external,21-24 yrs,12,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,28.091859817504883 +1971,38,0,internal,21-24 yrs,5,42717,22.457359313964844,1,0.395061731338501,1.2599999904632568,0.11999999731779099,1.0499999523162842,2.430000066757202,11.704941749572754 +1972,38,0,MVA,15-17 yrs,28,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,66.7413558959961 +1972,38,0,suicide,15-17 yrs,2,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,4.767239570617676 +1972,38,0,homicide,15-17 yrs,2,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,4.767239570617676 +1972,38,0,other external,15-17 yrs,8,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,19.068958282470703 +1972,38,0,internal,15-17 yrs,6,41953,15.992801666259766,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,14.301718711853027 +1972,38,0,all,18-20 yrs,72,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,187.72488403320312 +1972,38,0,MVA,18-20 yrs,30,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,78.21869659423828 +1972,38,0,suicide,18-20 yrs,6,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,15.643739700317383 +1972,38,0,homicide,18-20 yrs,0,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,0 +1972,38,0,other external,18-20 yrs,20,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,52.14580154418945 +1972,38,0,internal,18-20 yrs,16,38354,19.002607345581055,0,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,41.71664047241211 +1972,38,0,all,21-24 yrs,50,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,111.8868637084961 +1972,38,0,MVA,21-24 yrs,22,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,49.23021697998047 +1972,38,0,suicide,21-24 yrs,4,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,8.950948715209961 +1972,38,0,homicide,21-24 yrs,0,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,0 +1972,38,0,other external,21-24 yrs,14,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,31.32832145690918 +1972,38,0,internal,21-24 yrs,10,44688,22.438753128051758,1,0.38277512788772583,1.2699999809265137,0.1599999964237213,1.090000033378601,2.5199999809265137,22.37737274169922 +1973,38,0,MVA,15-17 yrs,25,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,59.3232421875 +1973,38,0,suicide,15-17 yrs,5,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,11.86464786529541 +1973,38,0,homicide,15-17 yrs,1,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.372929573059082 +1973,38,0,other external,15-17 yrs,12,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,28.475154876708984 +1973,38,0,internal,15-17 yrs,11,42142,15.994044303894043,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,26.10222625732422 +1973,38,0,all,18-20 yrs,59,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,151.72164916992188 +1973,38,0,MVA,18-20 yrs,29,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,74.5750503540039 +1973,38,0,suicide,18-20 yrs,4,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,10.286213874816895 +1973,38,0,homicide,18-20 yrs,1,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.5715534687042236 +1973,38,0,other external,18-20 yrs,11,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,28.28708839416504 +1973,38,0,internal,18-20 yrs,14,38887,18.9885311126709,0,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,36.001747131347656 +1973,38,0,all,21-24 yrs,67,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,143.72439575195312 +1973,38,0,MVA,21-24 yrs,36,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,77.22504425048828 +1973,38,0,suicide,21-24 yrs,8,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,17.161121368408203 +1973,38,0,homicide,21-24 yrs,1,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,2.1451401710510254 +1973,38,0,other external,21-24 yrs,11,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,23.596542358398438 +1973,38,0,internal,21-24 yrs,11,46617,22.43602180480957,1,0.36036035418510437,1.2799999713897705,0.15000000596046448,1.159999966621399,2.5899999141693115,23.596542358398438 +1974,38,0,MVA,15-17 yrs,16,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,37.7857551574707 +1974,38,0,suicide,15-17 yrs,4,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,9.446438789367676 +1974,38,0,homicide,15-17 yrs,0,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,0 +1974,38,0,other external,15-17 yrs,11,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,25.977706909179688 +1974,38,0,internal,15-17 yrs,10,42344,15.99666976928711,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,23.61609649658203 +1974,38,0,all,18-20 yrs,51,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,128.0377655029297 +1974,38,0,MVA,18-20 yrs,23,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,57.74251937866211 +1974,38,0,suicide,18-20 yrs,4,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,10.042177200317383 +1974,38,0,homicide,18-20 yrs,3,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,7.531632900238037 +1974,38,0,other external,18-20 yrs,10,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,25.10544204711914 +1974,38,0,internal,18-20 yrs,11,39832,18.992368698120117,0,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,27.61598777770996 +1974,38,0,all,21-24 yrs,66,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,138.67877197265625 +1974,38,0,MVA,21-24 yrs,31,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,65.13700103759766 +1974,38,0,suicide,21-24 yrs,9,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,18.910741806030273 +1974,38,0,homicide,21-24 yrs,2,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,4.202386856079102 +1974,38,0,other external,21-24 yrs,16,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,33.61909484863281 +1974,38,0,internal,21-24 yrs,8,47592,22.45127296447754,1,0.3245435953140259,1.3300000429153442,0.14000000059604645,1.2400000095367432,2.7100000381469727,16.809547424316406 +1975,38,0,MVA,15-17 yrs,13,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,30.78453254699707 +1975,38,0,suicide,15-17 yrs,3,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,7.104122638702393 +1975,38,0,homicide,15-17 yrs,1,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,2.3680410385131836 +1975,38,0,other external,15-17 yrs,9,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,21.312368392944336 +1975,38,0,internal,15-17 yrs,5,42229,16.00366973876953,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,11.840204238891602 +1975,38,0,all,18-20 yrs,66,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,161.36524963378906 +1975,38,0,MVA,18-20 yrs,28,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,68.4579849243164 +1975,38,0,suicide,18-20 yrs,7,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,17.1144962310791 +1975,38,0,homicide,18-20 yrs,0,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,0 +1975,38,0,other external,18-20 yrs,19,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,46.45363235473633 +1975,38,0,internal,18-20 yrs,12,40901,19.002029418945312,0,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,29.339136123657227 +1975,38,0,all,21-24 yrs,60,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,122.89541625976562 +1975,38,0,MVA,21-24 yrs,24,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,49.158164978027344 +1975,38,0,suicide,21-24 yrs,5,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,10.241284370422363 +1975,38,0,homicide,21-24 yrs,1,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,2.0482568740844727 +1975,38,0,other external,21-24 yrs,14,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,28.675596237182617 +1975,38,0,internal,21-24 yrs,16,48822,22.466716766357422,1,0.29739776253700256,1.3700000047683716,0.15000000596046448,1.2100000381469727,2.7300000190734863,32.77210998535156 +1976,38,0,MVA,15-17 yrs,21,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,49.791351318359375 +1976,38,0,suicide,15-17 yrs,6,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,14.226099967956543 +1976,38,0,homicide,15-17 yrs,2,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,4.7420334815979 +1976,38,0,other external,15-17 yrs,9,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.339149475097656 +1976,38,0,internal,15-17 yrs,6,42176,16.00353240966797,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,14.226099967956543 +1976,38,0,all,18-20 yrs,49,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,116.69445037841797 +1976,38,0,MVA,18-20 yrs,30,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,71.4455795288086 +1976,38,0,suicide,18-20 yrs,2,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,4.763038635253906 +1976,38,0,homicide,18-20 yrs,1,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,2.381519317626953 +1976,38,0,other external,18-20 yrs,9,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.433673858642578 +1976,38,0,internal,18-20 yrs,7,41990,19.010026931762695,0,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,16.670635223388672 +1976,38,0,all,21-24 yrs,62,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,123.26043701171875 +1976,38,0,MVA,21-24 yrs,25,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,49.70178985595703 +1976,38,0,suicide,21-24 yrs,9,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,17.89264488220215 +1976,38,0,homicide,21-24 yrs,2,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,3.9761431217193604 +1976,38,0,other external,21-24 yrs,15,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,29.821073532104492 +1976,38,0,internal,21-24 yrs,11,50300,22.46109390258789,1,0.2811950743198395,1.399999976158142,0.1599999964237213,1.2000000476837158,2.75,21.86878776550293 +1977,38,0,MVA,15-17 yrs,19,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,45.949214935302734 +1977,38,0,suicide,15-17 yrs,5,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,12.091897964477539 +1977,38,0,homicide,15-17 yrs,0,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,0 +1977,38,0,other external,15-17 yrs,11,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,26.602176666259766 +1977,38,0,internal,15-17 yrs,7,41350,16.00957679748535,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,16.92865753173828 +1977,38,0,all,18-20 yrs,64,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,150.30531311035156 +1977,38,0,MVA,18-20 yrs,36,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,84.54673767089844 +1977,38,0,suicide,18-20 yrs,10,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,23.485204696655273 +1977,38,0,homicide,18-20 yrs,1,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,2.348520517349243 +1977,38,0,other external,18-20 yrs,8,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,18.788164138793945 +1977,38,0,internal,18-20 yrs,9,42580,19.01862335205078,0,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,21.13668441772461 +1977,38,0,all,21-24 yrs,54,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,104.96238708496094 +1977,38,0,MVA,21-24 yrs,25,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,48.59369659423828 +1977,38,0,suicide,21-24 yrs,11,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,21.381227493286133 +1977,38,0,homicide,21-24 yrs,0,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,0 +1977,38,0,other external,21-24 yrs,13,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,25.268722534179688 +1977,38,0,internal,21-24 yrs,5,51447,22.4415225982666,1,0.264026403427124,1.350000023841858,0.15000000596046448,1.1200000047683716,2.619999885559082,9.71873950958252 +1978,38,0,MVA,15-17 yrs,18,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,44.93708801269531 +1978,38,0,suicide,15-17 yrs,3,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,7.4895148277282715 +1978,38,0,homicide,15-17 yrs,0,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,0 +1978,38,0,other external,15-17 yrs,8,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,19.97203826904297 +1978,38,0,internal,15-17 yrs,4,40056,16.02144432067871,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,9.986019134521484 +1978,38,0,all,18-20 yrs,47,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,110.23289489746094 +1978,38,0,MVA,18-20 yrs,28,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,65.67066192626953 +1978,38,0,suicide,18-20 yrs,3,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,7.036142349243164 +1978,38,0,homicide,18-20 yrs,0,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,0 +1978,38,0,other external,18-20 yrs,7,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,16.417665481567383 +1978,38,0,internal,18-20 yrs,9,42637,19.031381607055664,0,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,21.108427047729492 +1978,38,0,all,21-24 yrs,76,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,143.78689575195312 +1978,38,0,MVA,21-24 yrs,33,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,62.433780670166016 +1978,38,0,suicide,21-24 yrs,8,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,15.135462760925293 +1978,38,0,homicide,21-24 yrs,2,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,3.7838656902313232 +1978,38,0,other external,21-24 yrs,17,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,32.16285705566406 +1978,38,0,internal,21-24 yrs,16,52856,22.4455509185791,1,0.24539877474308014,1.4500000476837158,0.1599999964237213,1.149999976158142,2.759999990463257,30.270925521850586 +1979,38,0,MVA,15-17 yrs,17,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,44.438636779785156 +1979,38,0,suicide,15-17 yrs,2,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,5.228074550628662 +1979,38,0,homicide,15-17 yrs,1,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,2.614037275314331 +1979,38,0,other external,15-17 yrs,9,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,23.526336669921875 +1979,38,0,internal,15-17 yrs,9,38255,16.02428436279297,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,23.526336669921875 +1979,38,0,all,18-20 yrs,55,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,129.37522888183594 +1979,38,0,MVA,18-20 yrs,29,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,68.216033935546875 +1979,38,0,suicide,18-20 yrs,8,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,18.81821632385254 +1979,38,0,homicide,18-20 yrs,1,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,2.3522770404815674 +1979,38,0,other external,18-20 yrs,3,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,7.056830883026123 +1979,38,0,internal,18-20 yrs,14,42512,19.03615379333496,0,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,32.93187713623047 +1979,38,0,all,21-24 yrs,49,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,90.52449035644531 +1979,38,0,MVA,21-24 yrs,18,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,33.2538948059082 +1979,38,0,suicide,21-24 yrs,15,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,27.711578369140625 +1979,38,0,homicide,21-24 yrs,1,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,1.8474385738372803 +1979,38,0,other external,21-24 yrs,5,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,9.23719310760498 +1979,38,0,internal,21-24 yrs,10,54129,22.454118728637695,1,0.22038567066192627,1.4500000476837158,0.1599999964237213,1.100000023841858,2.7100000381469727,18.47438621520996 +1980,38,0,MVA,15-17 yrs,20,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,55.83628845214844 +1980,38,0,suicide,15-17 yrs,1,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,2.7918143272399902 +1980,38,0,homicide,15-17 yrs,1,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,2.7918143272399902 +1980,38,0,other external,15-17 yrs,5,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,13.95907211303711 +1980,38,0,internal,15-17 yrs,9,35819,16.031883239746094,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,25.12632942199707 +1980,38,0,all,18-20 yrs,73,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,172.95298767089844 +1980,38,0,MVA,18-20 yrs,34,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,80.55345153808594 +1980,38,0,suicide,18-20 yrs,14,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,33.1690673828125 +1980,38,0,homicide,18-20 yrs,2,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,4.738438129425049 +1980,38,0,other external,18-20 yrs,12,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,28.43062973022461 +1980,38,0,internal,18-20 yrs,11,42208,19.03676986694336,0,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,26.061410903930664 +1980,38,0,all,21-24 yrs,69,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,125.49333190917969 +1980,38,0,MVA,21-24 yrs,37,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,67.29352569580078 +1980,38,0,suicide,21-24 yrs,11,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,20.006183624267578 +1980,38,0,homicide,21-24 yrs,2,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,3.6374878883361816 +1980,38,0,other external,21-24 yrs,12,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,21.824928283691406 +1980,38,0,internal,21-24 yrs,7,54983,22.466835021972656,1,0.19417475163936615,1.5299999713897705,0.17000000178813934,1.1399999856948853,2.8299999237060547,12.731207847595215 +1981,38,0,MVA,15-17 yrs,16,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,47.150352478027344 +1981,38,0,suicide,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,homicide,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,other external,15-17 yrs,0,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,0 +1981,38,0,internal,15-17 yrs,14,33934,16.03795623779297,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,41.25655746459961 +1981,38,0,all,18-20 yrs,58,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,141.81968688964844 +1981,38,0,MVA,18-20 yrs,26,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,63.574344635009766 +1981,38,0,suicide,18-20 yrs,10,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,24.451671600341797 +1981,38,0,homicide,18-20 yrs,6,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,14.671002388000488 +1981,38,0,other external,18-20 yrs,10,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,24.451671600341797 +1981,38,0,internal,18-20 yrs,6,40897,19.049636840820312,0,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,14.671002388000488 +1981,38,0,all,21-24 yrs,80,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,143.56729125976562 +1981,38,0,MVA,21-24 yrs,34,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,61.01609802246094 +1981,38,0,suicide,21-24 yrs,6,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,10.767546653747559 +1981,38,0,homicide,21-24 yrs,2,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,3.589182138442993 +1981,38,0,other external,21-24 yrs,20,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,35.891822814941406 +1981,38,0,internal,21-24 yrs,18,55723,22.475692749023438,1,0.17601759731769562,1.5299999713897705,0.18000000715255737,1.1399999856948853,2.8499999046325684,32.30263900756836 +1982,38,0,MVA,15-17 yrs,16,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,49.42695617675781 +1982,38,0,suicide,15-17 yrs,0,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,homicide,15-17 yrs,0,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,other external,15-17 yrs,6,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,18.53510856628418 +1982,38,0,internal,15-17 yrs,4,32371,16.03200340270996,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,12.356739044189453 +1982,38,0,all,18-20 yrs,36,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,91.13001251220703 +1982,38,0,MVA,18-20 yrs,18,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,45.565006256103516 +1982,38,0,suicide,18-20 yrs,6,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,15.188335418701172 +1982,38,0,homicide,18-20 yrs,2,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,5.062778472900391 +1982,38,0,other external,18-20 yrs,6,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,15.188335418701172 +1982,38,0,internal,18-20 yrs,4,39504,19.045818328857422,0,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,10.125556945800781 +1982,38,0,all,21-24 yrs,66,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,116.7500991821289 +1982,38,0,MVA,21-24 yrs,36,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,63.6818733215332 +1982,38,0,suicide,21-24 yrs,10,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,17.689409255981445 +1982,38,0,homicide,21-24 yrs,0,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,0 +1982,38,0,other external,21-24 yrs,14,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,24.765172958374023 +1982,38,0,internal,21-24 yrs,6,56531,22.48249626159668,1,0.16580310463905334,1.5199999809265137,0.18000000715255737,1.090000033378601,2.7899999618530273,10.613645553588867 +1983,38,0,MVA,15-17 yrs,13,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,41.95307540893555 +1983,38,0,suicide,15-17 yrs,4,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,12.908638954162598 +1983,38,0,homicide,15-17 yrs,0,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,0 +1983,38,0,other external,15-17 yrs,2,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,6.454319477081299 +1983,38,0,internal,15-17 yrs,9,30987,16.023622512817383,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,29.044437408447266 +1983,38,0,all,18-20 yrs,32,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,83.6885757446289 +1983,38,0,MVA,18-20 yrs,11,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,28.767948150634766 +1983,38,0,suicide,18-20 yrs,4,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,10.461071968078613 +1983,38,0,homicide,18-20 yrs,1,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,2.6152679920196533 +1983,38,0,other external,18-20 yrs,9,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,23.537410736083984 +1983,38,0,internal,18-20 yrs,7,38237,19.052722930908203,0,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,18.306875228881836 +1983,38,0,all,21-24 yrs,69,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,123.54078674316406 +1983,38,0,MVA,21-24 yrs,28,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,50.13249206542969 +1983,38,0,suicide,21-24 yrs,8,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,14.323569297790527 +1983,38,0,homicide,21-24 yrs,4,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,7.161784648895264 +1983,38,0,other external,21-24 yrs,16,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,28.647138595581055 +1983,38,0,internal,21-24 yrs,13,55852,22.502721786499023,1,0.1606425642967224,1.4800000190734863,0.17000000178813934,1.0499999523162842,2.7100000381469727,23.275800704956055 +1984,38,0,MVA,15-17 yrs,7,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,22.92000961303711 +1984,38,0,suicide,15-17 yrs,1,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,3.274286985397339 +1984,38,0,homicide,15-17 yrs,0,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,0 +1984,38,0,other external,15-17 yrs,3,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,9.8228607177734375 +1984,38,0,internal,15-17 yrs,4,30541,15.99950885772705,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,13.097147941589355 +1984,38,0,all,18-20 yrs,33,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,90.75408172607422 +1984,38,0,MVA,18-20 yrs,17,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,46.752105712890625 +1984,38,0,suicide,18-20 yrs,9,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,24.751113891601562 +1984,38,0,homicide,18-20 yrs,0,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,0 +1984,38,0,other external,18-20 yrs,4,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,11.000494956970215 +1984,38,0,internal,18-20 yrs,3,36362,19.06275749206543,0,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,8.250370979309082 +1984,38,0,all,21-24 yrs,58,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,106.98738098144531 +1984,38,0,MVA,21-24 yrs,20,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,36.8922004699707 +1984,38,0,suicide,21-24 yrs,9,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,16.601490020751953 +1984,38,0,homicide,21-24 yrs,1,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,1.8446100950241089 +1984,38,0,other external,21-24 yrs,18,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,33.202980041503906 +1984,38,0,internal,21-24 yrs,10,54212,22.516748428344727,1,0.15399421751499176,1.399999976158142,0.17000000178813934,0.9800000190734863,2.549999952316284,18.44610023498535 +1985,38,0,MVA,15-17 yrs,8,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,26.2605037689209 +1985,38,0,suicide,15-17 yrs,2,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,6.565125942230225 +1985,38,0,homicide,15-17 yrs,0,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,0 +1985,38,0,other external,15-17 yrs,2,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,6.565125942230225 +1985,38,0,internal,15-17 yrs,5,30464,15.973345756530762,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,16.41281509399414 +1985,38,0,all,18-20 yrs,30,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,87.6296157836914 +1985,38,0,MVA,18-20 yrs,14,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,40.893821716308594 +1985,38,0,suicide,18-20 yrs,5,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,14.604936599731445 +1985,38,0,homicide,18-20 yrs,0,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,0 +1985,38,0,other external,18-20 yrs,5,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,14.604936599731445 +1985,38,0,internal,18-20 yrs,6,34235,19.05637550354004,0,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,17.525924682617188 +1985,38,0,all,21-24 yrs,39,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,76.01598358154297 +1985,38,0,MVA,21-24 yrs,17,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,33.13517379760742 +1985,38,0,suicide,21-24 yrs,7,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,13.64389419555664 +1985,38,0,homicide,21-24 yrs,2,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,3.8982555866241455 +1985,38,0,other external,21-24 yrs,5,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,9.745638847351074 +1985,38,0,internal,21-24 yrs,8,51305,22.520437240600586,1,0.14869888126850128,1.3300000429153442,0.1899999976158142,0.9599999785423279,2.4800000190734863,15.593022346496582 +1986,38,0,MVA,15-17 yrs,9,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,29.483062744140625 +1986,38,0,suicide,15-17 yrs,1,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,3.2758960723876953 +1986,38,0,homicide,15-17 yrs,0,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,0 +1986,38,0,other external,15-17 yrs,3,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,9.827688217163086 +1986,38,0,internal,15-17 yrs,6,30526,15.985880851745605,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,19.655376434326172 +1986,38,0,all,18-20 yrs,28,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,87.23284912109375 +1986,38,0,MVA,18-20 yrs,10,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,31.15458869934082 +1986,38,0,suicide,18-20 yrs,8,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,24.92367172241211 +1986,38,0,homicide,18-20 yrs,0,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,0 +1986,38,0,other external,18-20 yrs,6,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,18.692752838134766 +1986,38,0,internal,18-20 yrs,4,32098,19.049535751342773,0,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,12.461835861206055 +1986,38,0,all,21-24 yrs,42,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,88.04293060302734 +1986,38,0,MVA,21-24 yrs,14,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,29.34764289855957 +1986,38,0,suicide,21-24 yrs,9,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,18.866342544555664 +1986,38,0,homicide,21-24 yrs,1,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,2.0962603092193604 +1986,38,0,other external,21-24 yrs,8,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,16.770082473754883 +1986,38,0,internal,21-24 yrs,10,47704,22.51129913330078,1,0.14598539471626282,1.3200000524520874,0.2199999988079071,0.8600000143051147,2.4000000953674316,20.962602615356445 +1987,38,0,MVA,15-17 yrs,10,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,33.60779571533203 +1987,38,0,suicide,15-17 yrs,6,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,20.1646785736084 +1987,38,0,homicide,15-17 yrs,2,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,6.721559524536133 +1987,38,0,other external,15-17 yrs,4,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,13.443119049072266 +1987,38,0,internal,15-17 yrs,6,29755,16.011560440063477,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,20.1646785736084 +1987,38,0,all,18-20 yrs,31,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,99.6944808959961 +1987,38,0,MVA,18-20 yrs,11,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,35.37546157836914 +1987,38,0,suicide,18-20 yrs,6,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,19.295705795288086 +1987,38,0,homicide,18-20 yrs,3,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,9.647852897644043 +1987,38,0,other external,18-20 yrs,2,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,6.4319024085998535 +1987,38,0,internal,18-20 yrs,9,31095,19.030712127685547,0,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,28.943559646606445 +1987,38,0,all,21-24 yrs,35,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,78.75433349609375 +1987,38,0,MVA,21-24 yrs,15,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,33.75185775756836 +1987,38,0,suicide,21-24 yrs,5,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,11.250618934631348 +1987,38,0,homicide,21-24 yrs,2,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,4.500247478485107 +1987,38,0,other external,21-24 yrs,8,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,18.00098991394043 +1987,38,0,internal,21-24 yrs,5,44442,22.515165328979492,1,0.14084507524967194,1.350000023841858,0.20000000298023224,0.8700000047683716,2.4200000762939453,11.250618934631348 +1988,38,0,MVA,15-17 yrs,7,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,24.587284088134766 +1988,38,0,suicide,15-17 yrs,5,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,17.562345504760742 +1988,38,0,homicide,15-17 yrs,1,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,3.5124692916870117 +1988,38,0,other external,15-17 yrs,5,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,17.562345504760742 +1988,38,0,internal,15-17 yrs,4,28470,16.02096939086914,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,14.049877166748047 +1988,38,0,all,18-20 yrs,23,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,73.90745544433594 +1988,38,0,MVA,18-20 yrs,11,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,35.347042083740234 +1988,38,0,suicide,18-20 yrs,6,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,19.28020477294922 +1988,38,0,homicide,18-20 yrs,0,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,0 +1988,38,0,other external,18-20 yrs,3,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,9.64010238647461 +1988,38,0,internal,18-20 yrs,3,31120,19.005815505981445,0,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,9.64010238647461 +1988,38,0,all,21-24 yrs,47,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,112.69091796875 +1988,38,0,MVA,21-24 yrs,21,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,50.351261138916016 +1988,38,0,suicide,21-24 yrs,8,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,19.181432723999023 +1988,38,0,homicide,21-24 yrs,2,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,4.795358180999756 +1988,38,0,other external,21-24 yrs,3,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,7.193037033081055 +1988,38,0,internal,21-24 yrs,13,41707,22.506534576416016,1,0.13524936139583588,1.3799999952316284,0.1899999976158142,0.8600000143051147,2.430000066757202,31.169828414916992 +1989,38,0,MVA,15-17 yrs,8,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,29.44207191467285 +1989,38,0,suicide,15-17 yrs,2,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,7.360517978668213 +1989,38,0,homicide,15-17 yrs,0,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,0 +1989,38,0,other external,15-17 yrs,1,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,3.6802589893341064 +1989,38,0,internal,15-17 yrs,6,27172,16.010231018066406,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,22.081554412841797 +1989,38,0,all,18-20 yrs,20,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,63.85900115966797 +1989,38,0,MVA,18-20 yrs,10,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,31.929500579833984 +1989,38,0,suicide,18-20 yrs,5,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,15.964750289916992 +1989,38,0,homicide,18-20 yrs,0,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,0 +1989,38,0,other external,18-20 yrs,4,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,12.77180004119873 +1989,38,0,internal,18-20 yrs,1,31319,19.01915740966797,0,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,3.1929500102996826 +1989,38,0,all,21-24 yrs,32,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,82.12498474121094 +1989,38,0,MVA,21-24 yrs,12,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,30.7968692779541 +1989,38,0,suicide,21-24 yrs,7,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,17.964839935302734 +1989,38,0,homicide,21-24 yrs,3,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,7.699217319488525 +1989,38,0,other external,21-24 yrs,2,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,5.132811546325684 +1989,38,0,internal,21-24 yrs,8,38965,22.492006301879883,1,0.12903225421905518,1.3799999952316284,0.17000000178813934,0.8399999737739563,2.380000114440918,20.531246185302734 +1990,38,0,MVA,15-17 yrs,12,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,45.682960510253906 +1990,38,0,suicide,15-17 yrs,3,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,11.420740127563477 +1990,38,0,homicide,15-17 yrs,0,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,0 +1990,38,0,other external,15-17 yrs,4,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,15.227653503417969 +1990,38,0,internal,15-17 yrs,6,26268,16.006319046020508,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,22.841480255126953 +1990,38,0,all,18-20 yrs,31,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,99.91941833496094 +1990,38,0,MVA,18-20 yrs,16,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,51.571311950683594 +1990,38,0,suicide,18-20 yrs,6,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,19.339242935180664 +1990,38,0,homicide,18-20 yrs,1,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,3.2232069969177246 +1990,38,0,other external,18-20 yrs,2,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,6.446413993835449 +1990,38,0,internal,18-20 yrs,6,31025,19.051700592041016,0,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,19.339242935180664 +1990,38,0,all,21-24 yrs,41,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,108.76197052001953 +1990,38,0,MVA,21-24 yrs,16,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,42.443695068359375 +1990,38,0,suicide,21-24 yrs,12,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,31.83277130126953 +1990,38,0,homicide,21-24 yrs,1,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,2.652730941772461 +1990,38,0,other external,21-24 yrs,2,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,5.305461883544922 +1990,38,0,internal,21-24 yrs,10,37697,22.45685386657715,1,0.12241774797439575,1.4700000286102295,0.17000000178813934,0.9300000071525574,2.559999942779541,26.52730941772461 +1991,38,0,MVA,15-17 yrs,9,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,33.617210388183594 +1991,38,0,suicide,15-17 yrs,3,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,11.205737113952637 +1991,38,0,homicide,15-17 yrs,0,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,0 +1991,38,0,other external,15-17 yrs,1,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,3.735245704650879 +1991,38,0,internal,15-17 yrs,3,26772,15.996077537536621,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,11.205737113952637 +1991,38,0,all,18-20 yrs,27,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,92.88883972167969 +1991,38,0,MVA,18-20 yrs,10,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,34.40327453613281 +1991,38,0,suicide,18-20 yrs,10,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,34.40327453613281 +1991,38,0,homicide,18-20 yrs,0,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,0 +1991,38,0,other external,18-20 yrs,2,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,6.880654811859131 +1991,38,0,internal,18-20 yrs,5,29067,19.06412696838379,0,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,17.201637268066406 +1991,38,0,all,21-24 yrs,41,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,107.42264556884766 +1991,38,0,MVA,21-24 yrs,10,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,26.200645446777344 +1991,38,0,suicide,21-24 yrs,11,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,28.820709228515625 +1991,38,0,homicide,21-24 yrs,1,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,2.6200644969940186 +1991,38,0,other external,21-24 yrs,10,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,26.200645446777344 +1991,38,0,internal,21-24 yrs,9,38167,22.436450958251953,1,0.11747430264949799,1.4299999475479126,0.1599999964237213,0.8600000143051147,2.440000057220459,23.58057975769043 +1992,38,0,MVA,15-17 yrs,5,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,18.041423797607422 +1992,38,0,suicide,15-17 yrs,6,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,21.649707794189453 +1992,38,0,homicide,15-17 yrs,2,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,7.216569423675537 +1992,38,0,other external,15-17 yrs,3,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.824853897094727 +1992,38,0,internal,15-17 yrs,3,27714,15.99588680267334,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.824853897094727 +1992,38,0,all,18-20 yrs,20,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,72.01238250732422 +1992,38,0,MVA,18-20 yrs,12,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,43.20743179321289 +1992,38,0,suicide,18-20 yrs,3,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.801857948303223 +1992,38,0,homicide,18-20 yrs,0,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,0 +1992,38,0,other external,18-20 yrs,1,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,3.600619316101074 +1992,38,0,internal,18-20 yrs,4,27773,19.031469345092773,0,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,14.402477264404297 +1992,38,0,all,21-24 yrs,25,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,64.2938003540039 +1992,38,0,MVA,21-24 yrs,11,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,28.289270401000977 +1992,38,0,suicide,21-24 yrs,7,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,18.00226402282715 +1992,38,0,homicide,21-24 yrs,0,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,0 +1992,38,0,other external,21-24 yrs,3,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,7.7152557373046875 +1992,38,0,internal,21-24 yrs,4,38884,22.441389083862305,1,0.11404133588075638,1.3799999952316284,0.15000000596046448,0.8500000238418579,2.390000104904175,10.287007331848145 +1993,38,0,MVA,15-17 yrs,9,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,31.619997024536133 +1993,38,0,suicide,15-17 yrs,5,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,17.566665649414062 +1993,38,0,homicide,15-17 yrs,2,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.026666164398193 +1993,38,0,other external,15-17 yrs,3,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.539999008178711 +1993,38,0,internal,15-17 yrs,3,28463,15.994379043579102,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.539999008178711 +1993,38,0,all,18-20 yrs,16,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,57.31480026245117 +1993,38,0,MVA,18-20 yrs,6,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,21.493051528930664 +1993,38,0,suicide,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,homicide,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,other external,18-20 yrs,4,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,14.328700065612793 +1993,38,0,internal,18-20 yrs,2,27916,19.003868103027344,0,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,7.1643500328063965 +1993,38,0,all,21-24 yrs,40,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,103.4875259399414 +1993,38,0,MVA,21-24 yrs,16,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,41.39501190185547 +1993,38,0,suicide,21-24 yrs,9,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,23.28469467163086 +1993,38,0,homicide,21-24 yrs,2,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,5.174376487731934 +1993,38,0,other external,21-24 yrs,4,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,10.348752975463867 +1993,38,0,internal,21-24 yrs,9,38652,22.495990753173828,1,0.11072663962841034,1.3700000047683716,0.15000000596046448,0.8399999737739563,2.359999895095825,23.28469467163086 +1994,38,0,MVA,15-17 yrs,12,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,40.80799865722656 +1994,38,0,suicide,15-17 yrs,8,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,27.205331802368164 +1994,38,0,homicide,15-17 yrs,0,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,0 +1994,38,0,other external,15-17 yrs,6,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,20.40399932861328 +1994,38,0,internal,15-17 yrs,5,29406,16.00016975402832,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,17.003332138061523 +1994,38,0,all,18-20 yrs,27,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,94.37259674072266 +1994,38,0,MVA,18-20 yrs,15,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,52.429222106933594 +1994,38,0,suicide,18-20 yrs,6,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,20.97168731689453 +1994,38,0,homicide,18-20 yrs,2,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,6.990562915802002 +1994,38,0,other external,18-20 yrs,3,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,10.485843658447266 +1994,38,0,internal,18-20 yrs,1,28610,19.001468658447266,0,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,3.495281457901001 +1994,38,0,all,21-24 yrs,38,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,100.64092254638672 +1994,38,0,MVA,21-24 yrs,9,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,23.836008071899414 +1994,38,0,suicide,21-24 yrs,10,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,26.484453201293945 +1994,38,0,homicide,21-24 yrs,2,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,5.296890735626221 +1994,38,0,other external,21-24 yrs,3,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,7.945335865020752 +1994,38,0,internal,21-24 yrs,14,37758,22.536256790161133,1,0.1079622134566307,1.3899999856948853,0.15000000596046448,0.7799999713897705,2.319999933242798,37.0782356262207 +1995,38,0,MVA,15-17 yrs,8,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,26.326181411743164 +1995,38,0,suicide,15-17 yrs,6,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,19.74463653564453 +1995,38,0,homicide,15-17 yrs,0,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,other external,15-17 yrs,1,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,3.2907726764678955 +1995,38,0,internal,15-17 yrs,5,30388,15.988285064697266,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,16.4538631439209 +1995,38,0,all,18-20 yrs,23,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,77.47760009765625 +1995,38,0,MVA,18-20 yrs,6,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,20.2115478515625 +1995,38,0,suicide,18-20 yrs,9,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,30.31732177734375 +1995,38,0,homicide,18-20 yrs,0,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,other external,18-20 yrs,0,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,0 +1995,38,0,internal,18-20 yrs,8,29686,19.00205421447754,0,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,26.94873046875 +1995,38,0,all,21-24 yrs,36,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,98.65446472167969 +1995,38,0,MVA,21-24 yrs,14,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,38.365623474121094 +1995,38,0,suicide,21-24 yrs,11,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,30.144418716430664 +1995,38,0,homicide,21-24 yrs,1,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,2.7404017448425293 +1995,38,0,other external,21-24 yrs,4,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,10.961606979370117 +1995,38,0,internal,21-24 yrs,6,36491,22.521635055541992,1,0.10498687624931335,1.350000023841858,0.1599999964237213,0.7699999809265137,2.2799999713897705,16.44240951538086 +1996,38,0,MVA,15-17 yrs,8,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,25.7607479095459 +1996,38,0,suicide,15-17 yrs,8,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,25.7607479095459 +1996,38,0,homicide,15-17 yrs,0,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,15-17 yrs,4,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,12.88037395477295 +1996,38,0,internal,15-17 yrs,4,31055,16.0028018951416,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,12.88037395477295 +1996,38,0,all,18-20 yrs,23,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,75.30860137939453 +1996,38,0,MVA,18-20 yrs,13,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,42.565731048583984 +1996,38,0,suicide,18-20 yrs,5,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,16.371435165405273 +1996,38,0,homicide,18-20 yrs,0,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,18-20 yrs,1,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,3.274286985397339 +1996,38,0,internal,18-20 yrs,4,30541,19.001243591308594,0,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,13.097147941589355 +1996,38,0,all,21-24 yrs,24,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,67.16856384277344 +1996,38,0,MVA,21-24 yrs,10,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,27.986902236938477 +1996,38,0,suicide,21-24 yrs,4,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,11.194761276245117 +1996,38,0,homicide,21-24 yrs,0,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,0 +1996,38,0,other external,21-24 yrs,4,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,11.194761276245117 +1996,38,0,internal,21-24 yrs,6,35731,22.461000442504883,1,0.10197578370571136,1.399999976158142,0.12999999523162842,0.7699999809265137,2.2899999618530273,16.79214096069336 +1970,39,1,MVA,15-17 yrs,215,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,34.059242248535156 +1970,39,1,suicide,15-17 yrs,25,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,3.9603772163391113 +1970,39,1,homicide,15-17 yrs,34,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,5.386113166809082 +1970,39,1,other external,15-17 yrs,94,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,14.89101791381836 +1970,39,1,internal,15-17 yrs,174,631253,15.976747512817383,0,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,27.564226150512695 +1970,39,1,all,18-20 yrs,710,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,127.249267578125 +1970,39,1,MVA,18-20 yrs,308,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,55.201087951660156 +1970,39,1,suicide,18-20 yrs,44,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,7.885869979858398 +1970,39,1,homicide,18-20 yrs,58,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,10.395009994506836 +1970,39,1,other external,18-20 yrs,97,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,17.38475799560547 +1970,39,1,internal,18-20 yrs,203,557960,18.956127166748047,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,36.382537841796875 +1970,39,1,all,21-24 yrs,887,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,134.62075805664062 +1970,39,1,MVA,21-24 yrs,296,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,44.92417526245117 +1970,39,1,suicide,21-24 yrs,85,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,12.90052318572998 +1970,39,1,homicide,21-24 yrs,98,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,14.873544692993164 +1970,39,1,other external,21-24 yrs,109,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,16.54302406311035 +1970,39,1,internal,21-24 yrs,299,658888,22.422847747802734,1,0.20618556439876556,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2200000286102295,45.379486083984375 +1971,39,1,MVA,15-17 yrs,150,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,23.34554100036621 +1971,39,1,suicide,15-17 yrs,37,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,5.758566856384277 +1971,39,1,homicide,15-17 yrs,32,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,4.980381965637207 +1971,39,1,other external,15-17 yrs,82,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,12.762228965759277 +1971,39,1,internal,15-17 yrs,162,642521,15.983145713806152,0,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,25.213184356689453 +1971,39,1,all,18-20 yrs,681,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,116.81201171875 +1971,39,1,MVA,18-20 yrs,253,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,43.39712142944336 +1971,39,1,suicide,18-20 yrs,54,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,9.262626647949219 +1971,39,1,homicide,18-20 yrs,50,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,8.576505661010742 +1971,39,1,other external,18-20 yrs,116,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,19.897493362426758 +1971,39,1,internal,18-20 yrs,208,582988,18.964847564697266,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,35.67826461791992 +1971,39,1,all,21-24 yrs,872,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,121.26505279541016 +1971,39,1,MVA,21-24 yrs,272,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,37.8257942199707 +1971,39,1,suicide,21-24 yrs,81,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,11.264299392700195 +1971,39,1,homicide,21-24 yrs,106,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,14.740935325622559 +1971,39,1,other external,21-24 yrs,110,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,15.297196388244629 +1971,39,1,internal,21-24 yrs,303,719086,22.564191818237305,1,0.1975308656692505,1.2000000476837158,0.20999999344348907,0.8100000023841858,2.2200000286102295,42.13682556152344 +1972,39,1,MVA,15-17 yrs,184,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,28.118820190429688 +1972,39,1,suicide,15-17 yrs,36,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,5.5015082359313965 +1972,39,1,homicide,15-17 yrs,36,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,5.5015082359313965 +1972,39,1,other external,15-17 yrs,96,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,14.67068862915039 +1972,39,1,internal,15-17 yrs,226,654366,15.977584838867188,0,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,34.53724670410156 +1972,39,1,all,18-20 yrs,650,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,108.398193359375 +1972,39,1,MVA,18-20 yrs,262,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,43.69281005859375 +1972,39,1,suicide,18-20 yrs,46,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,7.6712565422058105 +1972,39,1,homicide,18-20 yrs,70,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,11.673651695251465 +1972,39,1,other external,18-20 yrs,78,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,13.007782936096191 +1972,39,1,internal,18-20 yrs,194,599641,18.97724723815918,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,32.352691650390625 +1972,39,1,all,21-24 yrs,910,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,128.45196533203125 +1972,39,1,MVA,21-24 yrs,276,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,38.95906066894531 +1972,39,1,suicide,21-24 yrs,102,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,14.397912979125977 +1972,39,1,homicide,21-24 yrs,116,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,16.37409782409668 +1972,39,1,other external,21-24 yrs,108,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,15.24484920501709 +1972,39,1,internal,21-24 yrs,308,708436,22.517261505126953,1,0.19138756394386292,1.1799999475479126,0.20000000298023224,0.7799999713897705,2.1500000953674316,43.476051330566406 +1973,39,1,MVA,15-17 yrs,205,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,30.8760986328125 +1973,39,1,suicide,15-17 yrs,31,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,4.669068336486816 +1973,39,1,homicide,15-17 yrs,35,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,5.271528720855713 +1973,39,1,other external,15-17 yrs,100,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,15.061511039733887 +1973,39,1,internal,15-17 yrs,163,663944,15.979019165039062,0,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,24.550262451171875 +1973,39,1,all,18-20 yrs,730,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,119.1860122680664 +1973,39,1,MVA,18-20 yrs,295,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,48.164207458496094 +1973,39,1,suicide,18-20 yrs,51,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,8.326693534851074 +1973,39,1,homicide,18-20 yrs,57,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,9.306304931640625 +1973,39,1,other external,18-20 yrs,113,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,18.4493408203125 +1973,39,1,internal,18-20 yrs,214,612488,18.981264114379883,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,34.93946075439453 +1973,39,1,all,21-24 yrs,929,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,130.01190185546875 +1973,39,1,MVA,21-24 yrs,254,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,35.54684829711914 +1973,39,1,suicide,21-24 yrs,119,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,16.653837203979492 +1973,39,1,homicide,21-24 yrs,118,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,16.51388931274414 +1973,39,1,other external,21-24 yrs,138,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,19.312854766845703 +1973,39,1,internal,21-24 yrs,300,714550,22.49353790283203,1,0.18018017709255219,1.2100000381469727,0.20000000298023224,0.7900000214576721,2.200000047683716,41.984466552734375 +1974,39,1,MVA,15-17 yrs,177,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,26.530725479125977 +1974,39,1,suicide,15-17 yrs,26,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,3.8971686363220215 +1974,39,1,homicide,15-17 yrs,36,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,5.3960795402526855 +1974,39,1,other external,15-17 yrs,112,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,16.787803649902344 +1974,39,1,internal,15-17 yrs,176,667151,15.998662948608398,0,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,26.380834579467773 +1974,39,1,all,18-20 yrs,730,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,117.28772735595703 +1974,39,1,MVA,18-20 yrs,238,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,38.239013671875 +1974,39,1,suicide,18-20 yrs,75,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,12.050108909606934 +1974,39,1,homicide,18-20 yrs,70,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,11.246768951416016 +1974,39,1,other external,18-20 yrs,137,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,22.011531829833984 +1974,39,1,internal,18-20 yrs,210,622401,18.989843368530273,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,33.74030685424805 +1974,39,1,all,21-24 yrs,898,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,123.87334442138672 +1974,39,1,MVA,21-24 yrs,219,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,30.209646224975586 +1974,39,1,suicide,21-24 yrs,110,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,15.173794746398926 +1974,39,1,homicide,21-24 yrs,139,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,19.17416000366211 +1974,39,1,other external,21-24 yrs,139,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,19.17416000366211 +1974,39,1,internal,21-24 yrs,291,724934,22.467926025390625,1,0.16227179765701294,1.2100000381469727,0.1899999976158142,0.7900000214576721,2.190000057220459,40.14158630371094 +1975,39,1,MVA,15-17 yrs,146,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,22.20711326599121 +1975,39,1,suicide,15-17 yrs,38,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,5.779933452606201 +1975,39,1,homicide,15-17 yrs,42,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,6.388347625732422 +1975,39,1,other external,15-17 yrs,88,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.385108947753906 +1975,39,1,internal,15-17 yrs,151,657447,16.00786590576172,0,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,22.96763038635254 +1975,39,1,all,18-20 yrs,719,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,113.27793884277344 +1975,39,1,MVA,18-20 yrs,225,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,35.44858932495117 +1975,39,1,suicide,18-20 yrs,84,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.234140396118164 +1975,39,1,homicide,18-20 yrs,88,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,13.864337921142578 +1975,39,1,other external,18-20 yrs,130,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,20.481407165527344 +1975,39,1,internal,18-20 yrs,192,634722,18.983943939208984,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,30.24946403503418 +1975,39,1,all,21-24 yrs,862,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,115.84293365478516 +1975,39,1,MVA,21-24 yrs,194,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,26.071378707885742 +1975,39,1,suicide,21-24 yrs,120,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,16.12662696838379 +1975,39,1,homicide,21-24 yrs,111,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,14.917129516601562 +1975,39,1,other external,21-24 yrs,145,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,19.486339569091797 +1975,39,1,internal,21-24 yrs,292,744111,22.466869354248047,1,0.14869888126850128,1.2400000095367432,0.20000000298023224,0.7799999713897705,2.2100000381469727,39.241458892822266 +1976,39,1,MVA,15-17 yrs,191,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,29.458988189697266 +1976,39,1,suicide,15-17 yrs,35,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,5.3982439041137695 +1976,39,1,homicide,15-17 yrs,22,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,3.393181800842285 +1976,39,1,other external,15-17 yrs,78,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,12.03037166595459 +1976,39,1,internal,15-17 yrs,134,648359,15.997756004333496,0,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,20.66756248474121 +1976,39,1,all,18-20 yrs,710,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,110.89903259277344 +1976,39,1,MVA,18-20 yrs,266,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,41.54808807373047 +1976,39,1,suicide,18-20 yrs,63,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,9.840336799621582 +1976,39,1,homicide,18-20 yrs,85,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,13.276644706726074 +1976,39,1,other external,18-20 yrs,101,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,15.775777816772461 +1976,39,1,internal,18-20 yrs,195,640222,18.984041213989258,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,30.45818519592285 +1976,39,1,all,21-24 yrs,875,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,115.12809753417969 +1976,39,1,MVA,21-24 yrs,229,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,30.130666732788086 +1976,39,1,suicide,21-24 yrs,125,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,16.446870803833008 +1976,39,1,homicide,21-24 yrs,101,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,13.289071083068848 +1976,39,1,other external,21-24 yrs,144,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,18.946794509887695 +1976,39,1,internal,21-24 yrs,276,760023,22.470199584960938,1,0.14059753715991974,1.2400000095367432,0.20000000298023224,0.7699999809265137,2.2100000381469727,36.31468963623047 +1977,39,1,MVA,15-17 yrs,166,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,25.948041915893555 +1977,39,1,suicide,15-17 yrs,43,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,6.721480369567871 +1977,39,1,homicide,15-17 yrs,24,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,3.751523971557617 +1977,39,1,other external,15-17 yrs,87,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,13.599274635314941 +1977,39,1,internal,15-17 yrs,138,639740,15.999889373779297,0,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,21.571264266967773 +1977,39,1,all,18-20 yrs,733,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,113.92371368408203 +1977,39,1,MVA,18-20 yrs,259,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,40.25408172607422 +1977,39,1,suicide,18-20 yrs,82,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,12.744535446166992 +1977,39,1,homicide,18-20 yrs,73,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,11.345745086669922 +1977,39,1,other external,18-20 yrs,109,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,16.940906524658203 +1977,39,1,internal,18-20 yrs,210,643413,19.003664016723633,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,32.63844680786133 +1977,39,1,all,21-24 yrs,906,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,117.20826721191406 +1977,39,1,MVA,21-24 yrs,245,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,31.695392608642578 +1977,39,1,suicide,21-24 yrs,132,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,17.076702117919922 +1977,39,1,homicide,21-24 yrs,100,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,12.936895370483398 +1977,39,1,other external,21-24 yrs,117,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,15.136167526245117 +1977,39,1,internal,21-24 yrs,312,772983,22.4804744720459,1,0.132013201713562,1.1699999570846558,0.18000000715255737,0.699999988079071,2.0399999618530273,40.36311340332031 +1978,39,1,MVA,15-17 yrs,192,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,30.401729583740234 +1978,39,1,suicide,15-17 yrs,45,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,7.125405788421631 +1978,39,1,homicide,15-17 yrs,25,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,3.9585585594177246 +1978,39,1,other external,15-17 yrs,67,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.60893726348877 +1978,39,1,internal,15-17 yrs,150,631543,16.01483917236328,0,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,23.751352310180664 +1978,39,1,all,18-20 yrs,706,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,111.39828491210938 +1978,39,1,MVA,18-20 yrs,284,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,44.81177520751953 +1978,39,1,suicide,18-20 yrs,69,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.887368202209473 +1978,39,1,homicide,18-20 yrs,66,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,10.4140043258667 +1978,39,1,other external,18-20 yrs,112,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,17.67224884033203 +1978,39,1,internal,18-20 yrs,175,633762,19.011123657226562,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,27.612890243530273 +1978,39,1,all,21-24 yrs,972,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,123.24280548095703 +1978,39,1,MVA,21-24 yrs,322,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,40.82735061645508 +1978,39,1,suicide,21-24 yrs,147,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,18.638572692871094 +1978,39,1,homicide,21-24 yrs,111,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,14.074024200439453 +1978,39,1,other external,21-24 yrs,134,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,16.990262985229492 +1978,39,1,internal,21-24 yrs,258,788687,22.475608825683594,1,0.12269938737154007,1.190000057220459,0.20000000298023224,0.699999988079071,2.0899999141693115,32.71259689331055 +1979,39,1,MVA,15-17 yrs,210,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,34.14095687866211 +1979,39,1,suicide,15-17 yrs,30,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,4.877279281616211 +1979,39,1,homicide,15-17 yrs,33,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,5.365007400512695 +1979,39,1,other external,15-17 yrs,77,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,12.518350601196289 +1979,39,1,internal,15-17 yrs,143,615097,16.010480880737305,0,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,23.24836540222168 +1979,39,1,all,18-20 yrs,767,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,122.56351470947266 +1979,39,1,MVA,18-20 yrs,313,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,50.01613998413086 +1979,39,1,suicide,18-20 yrs,72,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,11.50531005859375 +1979,39,1,homicide,18-20 yrs,78,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,12.464085578918457 +1979,39,1,other external,18-20 yrs,116,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,18.536333084106445 +1979,39,1,internal,18-20 yrs,188,625798,19.000411987304688,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,30.041643142700195 +1979,39,1,all,21-24 yrs,995,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,124.3927230834961 +1979,39,1,MVA,21-24 yrs,324,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,40.50577163696289 +1979,39,1,suicide,21-24 yrs,138,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,17.252458572387695 +1979,39,1,homicide,21-24 yrs,125,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,15.627226829528809 +1979,39,1,other external,21-24 yrs,130,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,16.252315521240234 +1979,39,1,internal,21-24 yrs,278,799886,22.479482650756836,1,0.11019283533096313,1.3600000143051147,0.20000000298023224,0.7099999785423279,2.259999990463257,34.75495147705078 +1980,39,1,MVA,15-17 yrs,183,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,30.787090301513672 +1980,39,1,suicide,15-17 yrs,38,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,6.392947673797607 +1980,39,1,homicide,15-17 yrs,28,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,4.710592746734619 +1980,39,1,other external,15-17 yrs,83,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,13.963542938232422 +1980,39,1,internal,15-17 yrs,180,594405,16.015655517578125,0,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,30.28238296508789 +1980,39,1,all,18-20 yrs,650,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,106.43314361572266 +1980,39,1,MVA,18-20 yrs,262,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,42.9007453918457 +1980,39,1,suicide,18-20 yrs,79,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,12.935721397399902 +1980,39,1,homicide,18-20 yrs,66,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,10.807058334350586 +1980,39,1,other external,18-20 yrs,79,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,12.935721397399902 +1980,39,1,internal,18-20 yrs,164,610712,19.005292892456055,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,26.853900909423828 +1980,39,1,all,21-24 yrs,959,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,119.65618133544922 +1980,39,1,MVA,21-24 yrs,295,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,36.80768966674805 +1980,39,1,suicide,21-24 yrs,127,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,15.84602165222168 +1980,39,1,homicide,21-24 yrs,119,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,14.847846984863281 +1980,39,1,other external,21-24 yrs,114,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,14.223987579345703 +1980,39,1,internal,21-24 yrs,304,801463,22.488182067871094,1,0.09708737581968307,1.3899999856948853,0.2199999988079071,0.7200000286102295,2.3299999237060547,37.930633544921875 +1981,39,1,MVA,15-17 yrs,140,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,24.625516891479492 +1981,39,1,suicide,15-17 yrs,34,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,5.980482578277588 +1981,39,1,homicide,15-17 yrs,8,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,1.4071723222732544 +1981,39,1,other external,15-17 yrs,44,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,7.739448070526123 +1981,39,1,internal,15-17 yrs,114,568516,16.029964447021484,0,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,20.05220603942871 +1981,39,1,all,18-20 yrs,580,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,96.54454040527344 +1981,39,1,MVA,18-20 yrs,212,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,35.288692474365234 +1981,39,1,suicide,18-20 yrs,74,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.317750930786133 +1981,39,1,homicide,18-20 yrs,54,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,8.988629341125488 +1981,39,1,other external,18-20 yrs,76,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.650663375854492 +1981,39,1,internal,18-20 yrs,164,600759,19.01632308959961,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,27.298799514770508 +1981,39,1,all,21-24 yrs,850,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,106.58882141113281 +1981,39,1,MVA,21-24 yrs,256,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,32.10204315185547 +1981,39,1,suicide,21-24 yrs,112,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,14.044644355773926 +1981,39,1,homicide,21-24 yrs,88,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,11.035078048706055 +1981,39,1,other external,21-24 yrs,100,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,12.539860725402832 +1981,39,1,internal,21-24 yrs,294,797457,22.512237548828125,1,0.08800879865884781,1.350000023841858,0.2199999988079071,0.6800000071525574,2.25,36.867191314697266 +1982,39,0.8798462152481079,MVA,15-17 yrs,130,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,24.02464485168457 +1982,39,0.8798462152481079,suicide,15-17 yrs,34,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,6.283369064331055 +1982,39,0.8798462152481079,homicide,15-17 yrs,18,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,3.3264894485473633 +1982,39,0.8798462152481079,other external,15-17 yrs,48,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,8.870638847351074 +1982,39,0.8798462152481079,internal,15-17 yrs,124,541111,16.025062561035156,0,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,22.915815353393555 +1982,39,0.8798462152481079,all,18-20 yrs,532,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,90.85041046142578 +1982,39,0.8798462152481079,MVA,18-20 yrs,178,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,30.397315979003906 +1982,39,0.8798462152481079,suicide,18-20 yrs,86,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,14.686344146728516 +1982,39,0.8798462152481079,homicide,18-20 yrs,46,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,7.8554863929748535 +1982,39,0.8798462152481079,other external,18-20 yrs,60,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,10.246286392211914 +1982,39,0.8798462152481079,internal,18-20 yrs,162,585578,19.01342010498047,0.8798462152481079,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,27.664974212646484 +1982,39,0.8798462152481079,all,21-24 yrs,812,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,103.44831848144531 +1982,39,0.8798462152481079,MVA,21-24 yrs,216,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,27.518272399902344 +1982,39,0.8798462152481079,suicide,21-24 yrs,128,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,16.307125091552734 +1982,39,0.8798462152481079,homicide,21-24 yrs,90,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,11.465947151184082 +1982,39,0.8798462152481079,other external,21-24 yrs,100,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,12.739940643310547 +1982,39,0.8798462152481079,internal,21-24 yrs,278,784933,22.50885009765625,1,0.08290155231952667,1.399999976158142,0.2199999988079071,0.6600000262260437,2.2799999713897705,35.41703414916992 +1983,39,0.680864155292511,MVA,15-17 yrs,120,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,23.09642219543457 +1983,39,0.680864155292511,suicide,15-17 yrs,33,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,6.351515769958496 +1983,39,0.680864155292511,homicide,15-17 yrs,16,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,3.0795228481292725 +1983,39,0.680864155292511,other external,15-17 yrs,39,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,7.5063371658325195 +1983,39,0.680864155292511,internal,15-17 yrs,130,519561,16.014514923095703,0,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,25.0211238861084 +1983,39,0.680864155292511,all,18-20 yrs,510,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,89.8835220336914 +1983,39,0.680864155292511,MVA,18-20 yrs,192,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,33.8385009765625 +1983,39,0.680864155292511,suicide,18-20 yrs,62,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,10.927016258239746 +1983,39,0.680864155292511,homicide,18-20 yrs,33,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,5.81599235534668 +1983,39,0.680864155292511,other external,18-20 yrs,58,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,10.222047805786133 +1983,39,0.680864155292511,internal,18-20 yrs,165,567401,19.02084732055664,0.680864155292511,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,29.07996368408203 +1983,39,0.680864155292511,all,21-24 yrs,750,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,97.59766387939453 +1983,39,0.680864155292511,MVA,21-24 yrs,224,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,29.149169921875 +1983,39,0.680864155292511,suicide,21-24 yrs,111,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,14.444454193115234 +1983,39,0.680864155292511,homicide,21-24 yrs,68,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,8.848855018615723 +1983,39,0.680864155292511,other external,21-24 yrs,104,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,13.53354263305664 +1983,39,0.680864155292511,internal,21-24 yrs,243,768461,22.504751205444336,1,0.0803212821483612,1.3600000143051147,0.2199999988079071,0.6499999761581421,2.2200000286102295,31.62164306640625 +1984,39,0.686947226524353,MVA,15-17 yrs,127,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,24.70966148376465 +1984,39,0.686947226524353,suicide,15-17 yrs,41,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.977134704589844 +1984,39,0.686947226524353,homicide,15-17 yrs,14,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,2.7238996028900146 +1984,39,0.686947226524353,other external,15-17 yrs,36,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.0043134689331055 +1984,39,0.686947226524353,internal,15-17 yrs,92,513969,15.998275756835938,0,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,17.899911880493164 +1984,39,0.686947226524353,all,18-20 yrs,486,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,89.08229064941406 +1984,39,0.686947226524353,MVA,18-20 yrs,191,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,35.00970458984375 +1984,39,0.686947226524353,suicide,18-20 yrs,63,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,11.547703742980957 +1984,39,0.686947226524353,homicide,18-20 yrs,41,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,7.515172481536865 +1984,39,0.686947226524353,other external,18-20 yrs,51,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,9.34814167022705 +1984,39,0.686947226524353,internal,18-20 yrs,140,545563,19.03496551513672,0.686947226524353,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,25.661563873291016 +1984,39,0.686947226524353,all,21-24 yrs,711,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,94.42632293701172 +1984,39,0.686947226524353,MVA,21-24 yrs,215,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,28.55367088317871 +1984,39,0.686947226524353,suicide,21-24 yrs,113,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,15.007277488708496 +1984,39,0.686947226524353,homicide,21-24 yrs,64,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,8.499696731567383 +1984,39,0.686947226524353,other external,21-24 yrs,93,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,12.351122856140137 +1984,39,0.686947226524353,internal,21-24 yrs,226,752968,22.506858825683594,1,0.07699710875749588,1.409999966621399,0.25,0.6100000143051147,2.259999990463257,30.014554977416992 +1985,39,0.6815656423568726,MVA,15-17 yrs,113,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,21.93425178527832 +1985,39,0.6815656423568726,suicide,15-17 yrs,30,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,5.8232526779174805 +1985,39,0.6815656423568726,homicide,15-17 yrs,16,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,3.1057348251342773 +1985,39,0.6815656423568726,other external,15-17 yrs,36,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,6.987903118133545 +1985,39,0.6815656423568726,internal,15-17 yrs,104,515176,15.984182357788086,0,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,20.187274932861328 +1985,39,0.6815656423568726,all,18-20 yrs,485,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,92.94695281982422 +1985,39,0.6815656423568726,MVA,18-20 yrs,203,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,38.90357208251953 +1985,39,0.6815656423568726,suicide,18-20 yrs,67,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,12.840094566345215 +1985,39,0.6815656423568726,homicide,18-20 yrs,37,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,7.090798854827881 +1985,39,0.6815656423568726,other external,18-20 yrs,49,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,9.390517234802246 +1985,39,0.6815656423568726,internal,18-20 yrs,129,521803,19.02897071838379,0.6815656423568726,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,24.721973419189453 +1985,39,0.6815656423568726,all,21-24 yrs,679,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,91.81780242919922 +1985,39,0.6815656423568726,MVA,21-24 yrs,202,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,27.315458297729492 +1985,39,0.6815656423568726,suicide,21-24 yrs,114,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,15.415655136108398 +1985,39,0.6815656423568726,homicide,21-24 yrs,68,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,9.195302963256836 +1985,39,0.6815656423568726,other external,21-24 yrs,86,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,11.629353523254395 +1985,39,0.6815656423568726,internal,21-24 yrs,209,739508,22.514404296875,1,0.07434944063425064,1.3700000047683716,0.25,0.5899999737739563,2.200000047683716,28.262033462524414 +1986,39,0.6782891750335693,MVA,15-17 yrs,128,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,24.374685287475586 +1986,39,0.6782891750335693,suicide,15-17 yrs,38,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,7.236234664916992 +1986,39,0.6782891750335693,homicide,15-17 yrs,15,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,2.8564083576202393 +1986,39,0.6782891750335693,other external,15-17 yrs,48,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,9.140506744384766 +1986,39,0.6782891750335693,internal,15-17 yrs,106,525135,15.982406616210938,0,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,20.185285568237305 +1986,39,0.6782891750335693,all,18-20 yrs,469,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,93.3169937133789 +1986,39,0.6782891750335693,MVA,18-20 yrs,193,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,38.4012336730957 +1986,39,0.6782891750335693,suicide,18-20 yrs,55,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,10.943357467651367 +1986,39,0.6782891750335693,homicide,18-20 yrs,38,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,7.5608649253845215 +1986,39,0.6782891750335693,other external,18-20 yrs,47,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,9.351595878601074 +1986,39,0.6782891750335693,internal,18-20 yrs,136,502588,19.018856048583984,0.6782891750335693,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,27.059938430786133 +1986,39,0.6782891750335693,all,21-24 yrs,712,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,99.23995208740234 +1986,39,0.6782891750335693,MVA,21-24 yrs,269,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,37.493743896484375 +1986,39,0.6782891750335693,suicide,21-24 yrs,100,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,13.93819522857666 +1986,39,0.6782891750335693,homicide,21-24 yrs,61,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,8.502299308776855 +1986,39,0.6782891750335693,other external,21-24 yrs,77,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,10.732410430908203 +1986,39,0.6782891750335693,internal,21-24 yrs,205,717453,22.51958465576172,1,0.07299269735813141,1.3200000524520874,0.25,0.6000000238418579,2.1700000762939453,28.573299407958984 +1987,39,0.6388097405433655,MVA,15-17 yrs,153,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,29.55373764038086 +1987,39,0.6388097405433655,suicide,15-17 yrs,41,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,7.919629096984863 +1987,39,0.6388097405433655,homicide,15-17 yrs,21,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,4.056395530700684 +1987,39,0.6388097405433655,other external,15-17 yrs,36,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,6.953820705413818 +1987,39,0.6388097405433655,internal,15-17 yrs,90,517701,16.020334243774414,0,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,17.384552001953125 +1987,39,0.6388097405433655,all,18-20 yrs,476,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,95.51385498046875 +1987,39,0.6388097405433655,MVA,18-20 yrs,198,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,39.73055648803711 +1987,39,0.6388097405433655,suicide,18-20 yrs,56,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,11.236924171447754 +1987,39,0.6388097405433655,homicide,18-20 yrs,28,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,5.618462085723877 +1987,39,0.6388097405433655,other external,18-20 yrs,52,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,10.434287071228027 +1987,39,0.6388097405433655,internal,18-20 yrs,142,498357,19.003782272338867,0.6388097405433655,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,28.493629455566406 +1987,39,0.6388097405433655,all,21-24 yrs,681,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,98.58820343017578 +1987,39,0.6388097405433655,MVA,21-24 yrs,216,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,31.270267486572266 +1987,39,0.6388097405433655,suicide,21-24 yrs,72,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,10.423422813415527 +1987,39,0.6388097405433655,homicide,21-24 yrs,58,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,8.396645545959473 +1987,39,0.6388097405433655,other external,21-24 yrs,79,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,11.436810493469238 +1987,39,0.6388097405433655,internal,21-24 yrs,256,690752,22.532060623168945,1,0.07042253762483597,1.350000023841858,0.23999999463558197,0.5899999737739563,2.1700000762939453,37.061058044433594 +1988,39,0.35447701811790466,MVA,15-17 yrs,128,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,25.760177612304688 +1988,39,0.35447701811790466,suicide,15-17 yrs,51,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.26382064819336 +1988,39,0.35447701811790466,homicide,15-17 yrs,15,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,3.018770694732666 +1988,39,0.35447701811790466,other external,15-17 yrs,38,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,7.647552490234375 +1988,39,0.35447701811790466,internal,15-17 yrs,101,496891,16.055429458618164,0,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,20.32638931274414 +1988,39,0.35447701811790466,all,18-20 yrs,440,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,87.55330657958984 +1988,39,0.35447701811790466,MVA,18-20 yrs,218,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,43.37868118286133 +1988,39,0.35447701811790466,suicide,18-20 yrs,52,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.347208976745605 +1988,39,0.35447701811790466,homicide,18-20 yrs,27,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,5.372589111328125 +1988,39,0.35447701811790466,other external,18-20 yrs,36,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,7.1634521484375 +1988,39,0.35447701811790466,internal,18-20 yrs,107,502551,18.990276336669922,0.35447701811790466,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,21.291372299194336 +1988,39,0.35447701811790466,all,21-24 yrs,618,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,92.680633544921875 +1988,39,0.35447701811790466,MVA,21-24 yrs,198,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,29.69379425048828 +1988,39,0.35447701811790466,suicide,21-24 yrs,81,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,12.1474609375 +1988,39,0.35447701811790466,homicide,21-24 yrs,70,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,10.49780559539795 +1988,39,0.35447701811790466,other external,21-24 yrs,56,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,8.398244857788086 +1988,39,0.35447701811790466,internal,21-24 yrs,213,666806,22.534263610839844,1,0.06762468069791794,1.340000033378601,0.23999999463558197,0.5400000214576721,2.109999895095825,31.943323135375977 +1989,39,0.055193446576595306,MVA,15-17 yrs,115,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,24.703927993774414 +1989,39,0.055193446576595306,suicide,15-17 yrs,39,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,8.377854347229004 +1989,39,0.055193446576595306,homicide,15-17 yrs,15,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,3.2222516536712646 +1989,39,0.055193446576595306,other external,15-17 yrs,30,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,6.444503307342529 +1989,39,0.055193446576595306,internal,15-17 yrs,70,465513,16.03733253479004,0,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,15.037174224853516 +1989,39,0.055193446576595306,all,18-20 yrs,476,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,92.45249938964844 +1989,39,0.055193446576595306,MVA,18-20 yrs,200,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,38.84558868408203 +1989,39,0.055193446576595306,suicide,18-20 yrs,66,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,12.81904411315918 +1989,39,0.055193446576595306,homicide,18-20 yrs,57,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,11.070992469787598 +1989,39,0.055193446576595306,other external,18-20 yrs,35,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,6.797977924346924 +1989,39,0.055193446576595306,internal,18-20 yrs,118,514859,18.988279342651367,0.055193446576595306,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,22.918895721435547 +1989,39,0.055193446576595306,all,21-24 yrs,650,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,101.69629669189453 +1989,39,0.055193446576595306,MVA,21-24 yrs,220,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,34.420284271240234 +1989,39,0.055193446576595306,suicide,21-24 yrs,106,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,16.584318161010742 +1989,39,0.055193446576595306,homicide,21-24 yrs,70,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,10.951909065246582 +1989,39,0.055193446576595306,other external,21-24 yrs,65,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,10.169629096984863 +1989,39,0.055193446576595306,internal,21-24 yrs,189,639158,22.521038055419922,1,0.09112902730703354,1.350000023841858,0.2199999988079071,0.5,2.069999933242798,29.570152282714844 +1990,39,0,MVA,15-17 yrs,103,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,22.97194480895996 +1990,39,0,suicide,15-17 yrs,25,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,5.575715065002441 +1990,39,0,homicide,15-17 yrs,38,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,8.475086212158203 +1990,39,0,other external,15-17 yrs,43,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,9.590229988098145 +1990,39,0,internal,15-17 yrs,77,448373,16.014814376831055,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,17.173202514648438 +1990,39,0,all,18-20 yrs,469,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,91.1832275390625 +1990,39,0,MVA,18-20 yrs,181,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,35.19011306762695 +1990,39,0,suicide,18-20 yrs,66,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,12.831754684448242 +1990,39,0,homicide,18-20 yrs,63,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,12.248493194580078 +1990,39,0,other external,18-20 yrs,39,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,7.582400321960449 +1990,39,0,internal,18-20 yrs,120,514349,19.024606704711914,0,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,23.330461502075195 +1990,39,0,all,21-24 yrs,568,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,90.36197662353516 +1990,39,0,MVA,21-24 yrs,166,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,26.408605575561523 +1990,39,0,suicide,21-24 yrs,87,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,13.840654373168945 +1990,39,0,homicide,21-24 yrs,85,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,13.522478103637695 +1990,39,0,other external,21-24 yrs,54,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,8.590750694274902 +1990,39,0,internal,21-24 yrs,176,628583,22.490293502807617,1,0.08645753562450409,1.340000033378601,0.2199999988079071,0.5299999713897705,2.0899999141693115,27.99948501586914 +1991,39,0,MVA,15-17 yrs,110,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,24.615936279296875 +1991,39,0,suicide,15-17 yrs,40,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,8.951249122619629 +1991,39,0,homicide,15-17 yrs,35,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,7.832343101501465 +1991,39,0,other external,15-17 yrs,29,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,6.489655494689941 +1991,39,0,internal,15-17 yrs,78,446865,16.013221740722656,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,17.454936981201172 +1991,39,0,all,18-20 yrs,447,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,90.4118881225586 +1991,39,0,MVA,18-20 yrs,158,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,31.957670211791992 +1991,39,0,suicide,18-20 yrs,53,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,10.719978332519531 +1991,39,0,homicide,18-20 yrs,79,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,15.978835105895996 +1991,39,0,other external,18-20 yrs,33,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,6.674703121185303 +1991,39,0,internal,18-20 yrs,124,494404,19.0520076751709,0,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,25.080703735351562 +1991,39,0,all,21-24 yrs,616,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,97.20365905761719 +1991,39,0,MVA,21-24 yrs,184,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,29.03485870361328 +1991,39,0,suicide,21-24 yrs,99,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,15.622016906738281 +1991,39,0,homicide,21-24 yrs,81,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,12.781649589538574 +1991,39,0,other external,21-24 yrs,53,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,8.363302230834961 +1991,39,0,internal,21-24 yrs,199,633721,22.466842651367188,1,0.08296622335910797,1.3300000429153442,0.18000000715255737,0.5099999904632568,2.0299999713897705,31.401830673217773 +1992,39,0,MVA,15-17 yrs,96,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,21.12824821472168 +1992,39,0,suicide,15-17 yrs,40,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,8.803437232971191 +1992,39,0,homicide,15-17 yrs,26,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,5.722233772277832 +1992,39,0,other external,15-17 yrs,25,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,5.502148151397705 +1992,39,0,internal,15-17 yrs,91,454368,16.006589889526367,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,20.02781867980957 +1992,39,0,all,18-20 yrs,446,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,95.00559997558594 +1992,39,0,MVA,18-20 yrs,132,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,28.118249893188477 +1992,39,0,suicide,18-20 yrs,62,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,13.207056999206543 +1992,39,0,homicide,18-20 yrs,76,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,16.189294815063477 +1992,39,0,other external,18-20 yrs,50,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,10.65085220336914 +1992,39,0,internal,18-20 yrs,126,469446,19.036439895629883,0,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,26.840147018432617 +1992,39,0,all,21-24 yrs,572,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,88.69496154785156 +1992,39,0,MVA,21-24 yrs,147,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,22.793983459472656 +1992,39,0,suicide,21-24 yrs,67,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,10.389095306396484 +1992,39,0,homicide,21-24 yrs,87,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,13.490317344665527 +1992,39,0,other external,21-24 yrs,56,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,8.683423042297363 +1992,39,0,internal,21-24 yrs,215,644907,22.454425811767578,1,0.08047271519899368,1.3200000524520874,0.17000000178813934,0.5,1.9800000190734863,33.338138580322266 +1993,39,0,MVA,15-17 yrs,106,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,23.075984954833984 +1993,39,0,suicide,15-17 yrs,22,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,4.789355278015137 +1993,39,0,homicide,15-17 yrs,36,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,7.837127208709717 +1993,39,0,other external,15-17 yrs,28,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,6.095543384552002 +1993,39,0,internal,15-17 yrs,68,459352,15.997187614440918,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,14.803462028503418 +1993,39,0,all,18-20 yrs,451,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,98.12773895263672 +1993,39,0,MVA,18-20 yrs,164,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,35.68281555175781 +1993,39,0,suicide,18-20 yrs,60,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,13.054688453674316 +1993,39,0,homicide,18-20 yrs,80,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,17.406251907348633 +1993,39,0,other external,18-20 yrs,37,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,8.05039119720459 +1993,39,0,internal,18-20 yrs,110,459605,19.007246017456055,0,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,23.933595657348633 +1993,39,0,all,21-24 yrs,540,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,83.64415740966797 +1993,39,0,MVA,21-24 yrs,148,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,22.92469596862793 +1993,39,0,suicide,21-24 yrs,89,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,13.785796165466309 +1993,39,0,homicide,21-24 yrs,92,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,14.250486373901367 +1993,39,0,other external,21-24 yrs,48,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,7.4350361824035645 +1993,39,0,internal,21-24 yrs,163,645592,22.49144172668457,1,0.12456747889518738,1.2899999618530273,0.1599999964237213,0.5,1.9500000476837158,25.248144149780273 +1994,39,0,MVA,15-17 yrs,94,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,19.907197952270508 +1994,39,0,suicide,15-17 yrs,43,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,9.106484413146973 +1994,39,0,homicide,15-17 yrs,33,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,6.988697528839111 +1994,39,0,other external,15-17 yrs,33,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,6.988697528839111 +1994,39,0,internal,15-17 yrs,75,472191,15.998231887817383,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,15.883402824401855 +1994,39,0,all,18-20 yrs,367,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,80.448760986328125 +1994,39,0,MVA,18-20 yrs,111,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,24.331912994384766 +1994,39,0,suicide,18-20 yrs,55,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.056353569030762 +1994,39,0,homicide,18-20 yrs,55,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.056353569030762 +1994,39,0,other external,18-20 yrs,25,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,5.480160713195801 +1994,39,0,internal,18-20 yrs,121,456191,19.006492614746094,0,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,26.523977279663086 +1994,39,0,all,21-24 yrs,520,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,82.43827056884766 +1994,39,0,MVA,21-24 yrs,124,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,19.658357620239258 +1994,39,0,suicide,21-24 yrs,64,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,10.146248817443848 +1994,39,0,homicide,21-24 yrs,80,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,12.68281078338623 +1994,39,0,other external,21-24 yrs,47,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,7.451151371002197 +1994,39,0,internal,21-24 yrs,205,630775,22.53951644897461,1,0.12145749479532242,1.309999942779541,0.1599999964237213,0.3700000047683716,1.850000023841858,32.49970245361328 +1995,39,0,MVA,15-17 yrs,114,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,23.464950561523438 +1995,39,0,suicide,15-17 yrs,30,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.174986839294434 +1995,39,0,homicide,15-17 yrs,32,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.586652755737305 +1995,39,0,other external,15-17 yrs,31,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,6.380819797515869 +1995,39,0,internal,15-17 yrs,91,485831,15.986480712890625,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,18.730792999267578 +1995,39,0,all,18-20 yrs,414,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,89.56541442871094 +1995,39,0,MVA,18-20 yrs,133,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,28.77342987060547 +1995,39,0,suicide,18-20 yrs,59,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,12.764153480529785 +1995,39,0,homicide,18-20 yrs,54,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,11.682445526123047 +1995,39,0,other external,18-20 yrs,36,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,7.788296699523926 +1995,39,0,internal,18-20 yrs,132,462232,19.000947952270508,0,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,28.55708885192871 +1995,39,0,all,21-24 yrs,537,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,88.25907897949219 +1995,39,0,MVA,21-24 yrs,135,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,22.18803596496582 +1995,39,0,suicide,21-24 yrs,81,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,13.312821388244629 +1995,39,0,homicide,21-24 yrs,67,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,11.011839866638184 +1995,39,0,other external,21-24 yrs,55,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,9.039569854736328 +1995,39,0,internal,21-24 yrs,199,608436,22.5524845123291,1,0.11811024695634842,1.2799999713897705,0.17000000178813934,0.46000000834465027,1.899999976158142,32.706809997558594 +1996,39,0,MVA,15-17 yrs,99,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,19.963783264160156 +1996,39,0,suicide,15-17 yrs,22,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,4.43639612197876 +1996,39,0,homicide,15-17 yrs,34,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,6.85624885559082 +1996,39,0,other external,15-17 yrs,24,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,4.839704990386963 +1996,39,0,internal,15-17 yrs,74,495898,16.00037384033203,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,14.922423362731934 +1996,39,0,all,18-20 yrs,362,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,77.69841003417969 +1996,39,0,MVA,18-20 yrs,127,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,27.258834838867188 +1996,39,0,suicide,18-20 yrs,37,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,7.941550254821777 +1996,39,0,homicide,18-20 yrs,59,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,12.663553237915039 +1996,39,0,other external,18-20 yrs,35,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,7.512277126312256 +1996,39,0,internal,18-20 yrs,104,465904,18.992340087890625,0,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,22.322195053100586 +1996,39,0,all,21-24 yrs,447,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,76.26060485839844 +1996,39,0,MVA,21-24 yrs,144,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,24.567174911499023 +1996,39,0,suicide,21-24 yrs,50,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,8.530268669128418 +1996,39,0,homicide,21-24 yrs,62,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,10.577533721923828 +1996,39,0,other external,21-24 yrs,32,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,5.459372043609619 +1996,39,0,internal,21-24 yrs,159,586148,22.512250900268555,1,0.11472276598215103,1.2999999523162842,0.18000000715255737,0.44999998807907104,1.9299999475479126,27.12625503540039 +1970,40,0,MVA,15-17 yrs,59,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,39.76169967651367 +1970,40,0,suicide,15-17 yrs,4,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,2.6957085132598877 +1970,40,0,homicide,15-17 yrs,8,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,5.391417026519775 +1970,40,0,other external,15-17 yrs,41,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,27.631011962890625 +1970,40,0,internal,15-17 yrs,43,148384,15.983623504638672,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,28.978866577148438 +1970,40,0,all,18-20 yrs,184,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,133.07778930664062 +1970,40,0,MVA,18-20 yrs,84,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,60.75290298461914 +1970,40,0,suicide,18-20 yrs,9,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,6.509239673614502 +1970,40,0,homicide,18-20 yrs,3,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,2.1697463989257812 +1970,40,0,other external,18-20 yrs,40,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,28.92995262145996 +1970,40,0,internal,18-20 yrs,48,138265,18.98031997680664,0,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,34.7159423828125 +1970,40,0,all,21-24 yrs,248,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,152.48870849609375 +1970,40,0,MVA,21-24 yrs,96,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,59.02788543701172 +1970,40,0,suicide,21-24 yrs,13,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,7.993359565734863 +1970,40,0,homicide,21-24 yrs,19,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,11.682601928710938 +1970,40,0,other external,21-24 yrs,41,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,25.20982551574707 +1970,40,0,internal,21-24 yrs,79,162635,22.405454635620117,1,0.8313934206962585,0.7799999713897705,0.15000000596046448,0.8399999737739563,1.7599999904632568,48.57503128051758 +1971,40,0,MVA,15-17 yrs,58,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,38.00611877441406 +1971,40,0,suicide,15-17 yrs,10,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,6.552779197692871 +1971,40,0,homicide,15-17 yrs,1,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,0.6552779078483582 +1971,40,0,other external,15-17 yrs,45,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,29.487506866455078 +1971,40,0,internal,15-17 yrs,45,152607,15.994790077209473,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,29.487506866455078 +1971,40,0,all,18-20 yrs,206,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,142.30548095703125 +1971,40,0,MVA,18-20 yrs,78,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,53.882659912109375 +1971,40,0,suicide,18-20 yrs,11,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,7.598836898803711 +1971,40,0,homicide,18-20 yrs,10,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,6.90803337097168 +1971,40,0,other external,18-20 yrs,46,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,31.776952743530273 +1971,40,0,internal,18-20 yrs,61,144759,18.977825164794922,0,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,42.13900375366211 +1971,40,0,all,21-24 yrs,242,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,135.08157348632812 +1971,40,0,MVA,21-24 yrs,83,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,46.32963180541992 +1971,40,0,suicide,21-24 yrs,21,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,11.721955299377441 +1971,40,0,homicide,21-24 yrs,16,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,8.931013107299805 +1971,40,0,other external,21-24 yrs,49,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,27.351228713989258 +1971,40,0,internal,21-24 yrs,73,179151,22.537446975708008,1,0.7964953780174255,0.800000011920929,0.17000000178813934,0.800000011920929,1.7699999809265137,40.74774932861328 +1972,40,0,MVA,15-17 yrs,58,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,37.27003479003906 +1972,40,0,suicide,15-17 yrs,10,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,6.425868034362793 +1972,40,0,homicide,15-17 yrs,10,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,6.425868034362793 +1972,40,0,other external,15-17 yrs,36,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,23.13312530517578 +1972,40,0,internal,15-17 yrs,34,155621,15.987951278686523,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,21.847951889038086 +1972,40,0,all,18-20 yrs,184,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,123.10821533203125 +1972,40,0,MVA,18-20 yrs,70,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,46.83464813232422 +1972,40,0,suicide,18-20 yrs,8,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,5.3525309562683105 +1972,40,0,homicide,18-20 yrs,12,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,8.028796195983887 +1972,40,0,other external,18-20 yrs,50,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,33.45331954956055 +1972,40,0,internal,18-20 yrs,44,149462,18.975252151489258,0,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,29.438920974731445 +1972,40,0,all,21-24 yrs,224,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,125.74732971191406 +1972,40,0,MVA,21-24 yrs,58,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,32.559574127197266 +1972,40,0,suicide,21-24 yrs,26,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,14.595671653747559 +1972,40,0,homicide,21-24 yrs,22,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,12.350183486938477 +1972,40,0,other external,21-24 yrs,50,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,28.068599700927734 +1972,40,0,internal,21-24 yrs,68,178135,22.508636474609375,1,0.7717240452766418,0.8600000143051147,0.15000000596046448,0.75,1.7599999904632568,38.17329406738281 +1973,40,0,MVA,15-17 yrs,61,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,38.72720718383789 +1973,40,0,suicide,15-17 yrs,8,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,5.078978061676025 +1973,40,0,homicide,15-17 yrs,5,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,3.174361228942871 +1973,40,0,other external,15-17 yrs,39,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,24.76001739501953 +1973,40,0,internal,15-17 yrs,32,157512,15.992254257202148,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,20.3159122467041 +1973,40,0,all,18-20 yrs,221,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,142.41709899902344 +1973,40,0,MVA,18-20 yrs,97,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,62.50886154174805 +1973,40,0,suicide,18-20 yrs,24,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,15.466110229492188 +1973,40,0,homicide,18-20 yrs,11,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,7.0886335372924805 +1973,40,0,other external,18-20 yrs,45,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,28.99895668029785 +1973,40,0,internal,18-20 yrs,44,155178,18.987537384033203,0,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,28.354534149169922 +1973,40,0,all,21-24 yrs,225,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,123.8216323852539 +1973,40,0,MVA,21-24 yrs,78,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,42.92483139038086 +1973,40,0,suicide,21-24 yrs,23,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,12.65732192993164 +1973,40,0,homicide,21-24 yrs,25,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,13.757959365844727 +1973,40,0,other external,21-24 yrs,41,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,22.563053131103516 +1973,40,0,internal,21-24 yrs,58,181713,22.502351760864258,1,0.7265329360961914,0.8999999761581421,0.17000000178813934,0.800000011920929,1.8700000047683716,31.91846466064453 +1974,40,0,MVA,15-17 yrs,73,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,45.7904167175293 +1974,40,0,suicide,15-17 yrs,9,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,5.6453938484191895 +1974,40,0,homicide,15-17 yrs,5,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,3.1363298892974854 +1974,40,0,other external,15-17 yrs,27,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,16.936182022094727 +1974,40,0,internal,15-17 yrs,33,159422,16.002458572387695,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,20.699777603149414 +1974,40,0,all,18-20 yrs,225,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,141.00306701660156 +1974,40,0,MVA,18-20 yrs,80,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,50.134422302246094 +1974,40,0,suicide,18-20 yrs,31,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,19.42708969116211 +1974,40,0,homicide,18-20 yrs,17,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,10.653564453125 +1974,40,0,other external,18-20 yrs,49,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,30.707334518432617 +1974,40,0,internal,18-20 yrs,48,159571,18.999135971069336,0,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,30.08065414428711 +1974,40,0,all,21-24 yrs,236,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,127.07027435302734 +1974,40,0,MVA,21-24 yrs,71,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,38.2287712097168 +1974,40,0,suicide,21-24 yrs,33,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,17.768301010131836 +1974,40,0,homicide,21-24 yrs,36,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,19.383602142333984 +1974,40,0,other external,21-24 yrs,44,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,23.691068649291992 +1974,40,0,internal,21-24 yrs,52,185724,22.471187591552734,1,0.6543217897415161,0.9599999785423279,0.14000000059604645,0.7799999713897705,1.8700000047683716,27.99853515625 +1975,40,0,MVA,15-17 yrs,65,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,40.5955696105957 +1975,40,0,suicide,15-17 yrs,15,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,9.368207931518555 +1975,40,0,homicide,15-17 yrs,16,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,9.992754936218262 +1975,40,0,other external,15-17 yrs,29,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,18.11186981201172 +1975,40,0,internal,15-17 yrs,40,160116,15.998088836669922,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,24.981887817382812 +1975,40,0,all,18-20 yrs,199,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,122.10761260986328 +1975,40,0,MVA,18-20 yrs,93,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,57.06536865234375 +1975,40,0,suicide,18-20 yrs,29,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,17.79457664489746 +1975,40,0,homicide,18-20 yrs,17,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,10.431303977966309 +1975,40,0,other external,18-20 yrs,28,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,17.180971145629883 +1975,40,0,internal,18-20 yrs,32,162971,18.99363136291504,0,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,19.635395050048828 +1975,40,0,all,21-24 yrs,290,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,150.61961364746094 +1975,40,0,MVA,21-24 yrs,87,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,45.18588638305664 +1975,40,0,suicide,21-24 yrs,39,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,20.255741119384766 +1975,40,0,homicide,21-24 yrs,36,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,18.697607040405273 +1975,40,0,other external,21-24 yrs,55,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,28.5657901763916 +1975,40,0,internal,21-24 yrs,73,192538,22.460521697998047,1,0.5995922684669495,0.9900000095367432,0.15000000596046448,0.8500000238418579,1.9900000095367432,37.91459274291992 +1976,40,0.08493150770664215,MVA,15-17 yrs,86,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,53.023902893066406 +1976,40,0.08493150770664215,suicide,15-17 yrs,7,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,4.31589937210083 +1976,40,0.08493150770664215,homicide,15-17 yrs,2,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,1.2331140041351318 +1976,40,0.08493150770664215,other external,15-17 yrs,26,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,16.03048324584961 +1976,40,0.08493150770664215,internal,15-17 yrs,29,162191,15.994247436523438,0,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,17.88015365600586 +1976,40,0.08493150770664215,all,18-20 yrs,217,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,129.4440460205078 +1976,40,0.08493150770664215,MVA,18-20 yrs,94,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,56.07253646850586 +1976,40,0.08493150770664215,suicide,18-20 yrs,20,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,11.930326461791992 +1976,40,0.08493150770664215,homicide,18-20 yrs,14,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,8.351228713989258 +1976,40,0.08493150770664215,other external,18-20 yrs,40,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,23.860652923583984 +1976,40,0.08493150770664215,internal,18-20 yrs,49,167640,19.00019645690918,0.08493150770664215,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,29.22930145263672 +1976,40,0.08493150770664215,all,21-24 yrs,273,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,135.5309600830078 +1976,40,0.08493150770664215,MVA,21-24 yrs,86,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,42.694732666015625 +1976,40,0.08493150770664215,suicide,21-24 yrs,33,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,16.382862091064453 +1976,40,0.08493150770664215,homicide,21-24 yrs,41,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,20.35446548461914 +1976,40,0.08493150770664215,other external,21-24 yrs,47,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,23.333168029785156 +1976,40,0.08493150770664215,internal,21-24 yrs,66,201430,22.459951400756836,1,0.5669255256652832,1,0.14000000059604645,0.7799999713897705,1.909999966621399,32.765724182128906 +1977,40,1,MVA,15-17 yrs,89,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,54.4655647277832 +1977,40,1,suicide,15-17 yrs,14,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,8.56761646270752 +1977,40,1,homicide,15-17 yrs,10,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,6.119726181030273 +1977,40,1,other external,15-17 yrs,32,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,19.5831241607666 +1977,40,1,internal,15-17 yrs,38,163406,15.998255729675293,0,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,23.254959106445312 +1977,40,1,all,18-20 yrs,251,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,148.0738525390625 +1977,40,1,MVA,18-20 yrs,117,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,69.02247619628906 +1977,40,1,suicide,18-20 yrs,29,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,17.108135223388672 +1977,40,1,homicide,18-20 yrs,20,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,11.798713684082031 +1977,40,1,other external,18-20 yrs,47,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,27.726978302001953 +1977,40,1,internal,18-20 yrs,38,169510,19.0111083984375,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,22.417556762695312 +1977,40,1,all,21-24 yrs,285,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,137.25216674804688 +1977,40,1,MVA,21-24 yrs,111,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,53.45610427856445 +1977,40,1,suicide,21-24 yrs,38,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,18.300289154052734 +1977,40,1,homicide,21-24 yrs,31,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,14.929183006286621 +1977,40,1,other external,21-24 yrs,47,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,22.634567260742188 +1977,40,1,internal,21-24 yrs,58,207647,22.475330352783203,1,0.5323113203048706,1.0700000524520874,0.14000000059604645,0.7799999713897705,1.9800000190734863,27.93202018737793 +1978,40,1,MVA,15-17 yrs,103,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,62.70966720581055 +1978,40,1,suicide,15-17 yrs,9,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,5.479485511779785 +1978,40,1,homicide,15-17 yrs,14,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,8.52364444732666 +1978,40,1,other external,15-17 yrs,33,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,20.091445922851562 +1978,40,1,internal,15-17 yrs,34,164249,16.005016326904297,0,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,20.70027732849121 +1978,40,1,all,18-20 yrs,241,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,141.21066284179688 +1978,40,1,MVA,18-20 yrs,118,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,69.14048767089844 +1978,40,1,suicide,18-20 yrs,30,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,17.57809066772461 +1978,40,1,homicide,18-20 yrs,31,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,18.164026260375977 +1978,40,1,other external,18-20 yrs,26,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,15.234345436096191 +1978,40,1,internal,18-20 yrs,36,170667,19.007423400878906,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,21.093708038330078 +1978,40,1,all,21-24 yrs,371,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,173.55345153808594 +1978,40,1,MVA,21-24 yrs,139,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,65.0240707397461 +1978,40,1,suicide,21-24 yrs,65,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,30.406938552856445 +1978,40,1,homicide,21-24 yrs,40,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,18.71196174621582 +1978,40,1,other external,21-24 yrs,68,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,31.810335159301758 +1978,40,1,internal,21-24 yrs,59,213767,22.47678565979004,1,0.4947555959224701,1.0800000429153442,0.14000000059604645,0.8199999928474426,2.0399999618530273,27.600143432617188 +1979,40,1,MVA,15-17 yrs,80,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,49.07283020019531 +1979,40,1,suicide,15-17 yrs,16,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,9.814565658569336 +1979,40,1,homicide,15-17 yrs,10,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,6.134103775024414 +1979,40,1,other external,15-17 yrs,17,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,10.427976608276367 +1979,40,1,internal,15-17 yrs,28,163023,16.01386833190918,0,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,17.175491333007812 +1979,40,1,all,18-20 yrs,249,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,142.905517578125 +1979,40,1,MVA,18-20 yrs,121,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,69.44404602050781 +1979,40,1,suicide,18-20 yrs,30,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,17.217531204223633 +1979,40,1,homicide,18-20 yrs,23,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,13.20010757446289 +1979,40,1,other external,18-20 yrs,36,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,20.661039352416992 +1979,40,1,internal,18-20 yrs,39,174241,19.00463104248047,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,22.38279151916504 +1979,40,1,all,21-24 yrs,322,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,146.6549530029297 +1979,40,1,MVA,21-24 yrs,121,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,55.109466552734375 +1979,40,1,suicide,21-24 yrs,44,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,20.039806365966797 +1979,40,1,homicide,21-24 yrs,41,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,18.6734561920166 +1979,40,1,other external,21-24 yrs,59,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,26.871559143066406 +1979,40,1,internal,21-24 yrs,57,219563,22.47903823852539,1,0.4443259537220001,1.0499999523162842,0.12999999523162842,0.800000011920929,1.9800000190734863,25.96065902709961 +1980,40,1,MVA,15-17 yrs,73,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,45.627281188964844 +1980,40,1,suicide,15-17 yrs,10,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,6.250312328338623 +1980,40,1,homicide,15-17 yrs,14,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,8.75043773651123 +1980,40,1,other external,15-17 yrs,32,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,20.000999450683594 +1980,40,1,internal,15-17 yrs,20,159992,16.031471252441406,0,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,12.500624656677246 +1980,40,1,all,18-20 yrs,267,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,150.4801788330078 +1980,40,1,MVA,18-20 yrs,137,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,77.212677001953125 +1980,40,1,suicide,18-20 yrs,28,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,15.780693054199219 +1980,40,1,homicide,18-20 yrs,24,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,13.5263090133667 +1980,40,1,other external,18-20 yrs,38,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,21.416654586791992 +1980,40,1,internal,18-20 yrs,40,177432,19.01637840270996,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,22.543848037719727 +1980,40,1,all,21-24 yrs,336,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,148.40399169921875 +1980,40,1,MVA,21-24 yrs,140,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,61.834999084472656 +1980,40,1,suicide,21-24 yrs,43,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,18.992177963256836 +1980,40,1,homicide,21-24 yrs,35,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,15.458749771118164 +1980,40,1,other external,21-24 yrs,48,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,21.200571060180664 +1980,40,1,internal,21-24 yrs,70,226409,22.481266021728516,1,0.39148133993148804,1.0800000429153442,0.1599999964237213,0.7099999785423279,1.9500000476837158,30.917499542236328 +1981,40,1,MVA,15-17 yrs,74,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,48.468650817871094 +1981,40,1,suicide,15-17 yrs,12,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,7.859781265258789 +1981,40,1,homicide,15-17 yrs,6,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,3.9298906326293945 +1981,40,1,other external,15-17 yrs,24,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.719562530517578 +1981,40,1,internal,15-17 yrs,32,152676,16.04636001586914,0,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,20.95941734313965 +1981,40,1,all,18-20 yrs,252,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,142.07669067382812 +1981,40,1,MVA,18-20 yrs,124,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,69.91075134277344 +1981,40,1,suicide,18-20 yrs,28,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.786298751831055 +1981,40,1,homicide,18-20 yrs,28,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,15.786298751831055 +1981,40,1,other external,18-20 yrs,34,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,19.169076919555664 +1981,40,1,internal,18-20 yrs,38,177369,19.031272888183594,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,21.42426300048828 +1981,40,1,all,21-24 yrs,364,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,157.04547119140625 +1981,40,1,MVA,21-24 yrs,144,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,62.12788009643555 +1981,40,1,suicide,21-24 yrs,54,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,23.297954559326172 +1981,40,1,homicide,21-24 yrs,40,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,17.25774383544922 +1981,40,1,other external,21-24 yrs,60,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,25.886615753173828 +1981,40,1,internal,21-24 yrs,66,231780,22.491798400878906,1,0.3548741936683655,1.1399999856948853,0.1599999964237213,0.8299999833106995,2.130000114440918,28.475278854370117 +1982,40,1,MVA,15-17 yrs,72,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,48.58922576904297 +1982,40,1,suicide,15-17 yrs,8,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,5.398802757263184 +1982,40,1,homicide,15-17 yrs,10,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,6.748503684997559 +1982,40,1,other external,15-17 yrs,12,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,8.098204612731934 +1982,40,1,internal,15-17 yrs,36,148181,16.040935516357422,0,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,24.294612884521484 +1982,40,1,all,18-20 yrs,302,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,169.36985778808594 +1982,40,1,MVA,18-20 yrs,144,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,80.7591323852539 +1982,40,1,suicide,18-20 yrs,30,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,16.824819564819336 +1982,40,1,homicide,18-20 yrs,32,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,17.946474075317383 +1982,40,1,other external,18-20 yrs,54,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,30.28467559814453 +1982,40,1,internal,18-20 yrs,42,178308,19.03374481201172,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,23.55474853515625 +1982,40,1,all,21-24 yrs,452,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,187.23178100585938 +1982,40,1,MVA,21-24 yrs,212,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,87.816680908203125 +1982,40,1,suicide,21-24 yrs,48,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,19.88302230834961 +1982,40,1,homicide,21-24 yrs,58,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,24.025318145751953 +1982,40,1,other external,21-24 yrs,66,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,27.339155197143555 +1982,40,1,internal,21-24 yrs,68,241412,22.48295021057129,1,0.33428046107292175,1.1699999570846558,0.1599999964237213,0.8299999833106995,2.1700000762939453,28.167613983154297 +1983,40,0.7232876420021057,MVA,15-17 yrs,44,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,29.962139129638672 +1983,40,0.7232876420021057,suicide,15-17 yrs,9,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,6.128619194030762 +1983,40,0.7232876420021057,homicide,15-17 yrs,4,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,2.7238306999206543 +1983,40,0.7232876420021057,other external,15-17 yrs,26,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,17.70490074157715 +1983,40,0.7232876420021057,internal,15-17 yrs,29,146852,16.00967025756836,0,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,19.747774124145508 +1983,40,0.7232876420021057,all,18-20 yrs,223,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,127.64228057861328 +1983,40,0.7232876420021057,MVA,18-20 yrs,92,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,52.65959548950195 +1983,40,0.7232876420021057,suicide,18-20 yrs,28,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,16.026832580566406 +1983,40,0.7232876420021057,homicide,18-20 yrs,20,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,11.447738647460938 +1983,40,0.7232876420021057,other external,18-20 yrs,40,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,22.895477294921875 +1983,40,0.7232876420021057,internal,18-20 yrs,43,174707,19.044776916503906,0.7232876420021057,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,24.61263656616211 +1983,40,0.7232876420021057,all,21-24 yrs,313,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,128.0126953125 +1983,40,0.7232876420021057,MVA,21-24 yrs,112,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,45.806461334228516 +1983,40,0.7232876420021057,suicide,21-24 yrs,45,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,18.404380798339844 +1983,40,0.7232876420021057,homicide,21-24 yrs,38,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,15.54147720336914 +1983,40,0.7232876420021057,other external,21-24 yrs,51,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,20.858299255371094 +1983,40,0.7232876420021057,internal,21-24 yrs,67,244507,22.49201011657715,1,0.32387614250183105,1.0499999523162842,0.1599999964237213,0.7699999809265137,1.9800000190734863,27.40207862854004 +1984,40,0,MVA,15-17 yrs,53,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,36.15304183959961 +1984,40,0,suicide,15-17 yrs,12,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,8.18559455871582 +1984,40,0,homicide,15-17 yrs,8,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,5.4570631980896 +1984,40,0,other external,15-17 yrs,19,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,12.960524559020996 +1984,40,0,internal,15-17 yrs,26,146599,15.986227989196777,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,17.735454559326172 +1984,40,0,all,18-20 yrs,176,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,107.58866882324219 +1984,40,0,MVA,18-20 yrs,81,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,49.51523971557617 +1984,40,0,suicide,18-20 yrs,24,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.671181678771973 +1984,40,0,homicide,18-20 yrs,24,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.671181678771973 +1984,40,0,other external,18-20 yrs,25,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,15.28248119354248 +1984,40,0,internal,18-20 yrs,22,163586,19.0598087310791,0,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,13.448583602905273 +1984,40,0,all,21-24 yrs,292,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,121.93390655517578 +1984,40,0,MVA,21-24 yrs,94,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,39.2526969909668 +1984,40,0,suicide,21-24 yrs,35,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,14.615365028381348 +1984,40,0,homicide,21-24 yrs,41,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,17.12085723876953 +1984,40,0,other external,21-24 yrs,50,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,20.879093170166016 +1984,40,0,internal,21-24 yrs,72,239474,22.509553909301758,1,0.3880902826786041,1.0099999904632568,0.1599999964237213,0.7400000095367432,1.909999966621399,30.065895080566406 +1985,40,0,MVA,15-17 yrs,46,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,30.898405075073242 +1985,40,0,suicide,15-17 yrs,17,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,11.418975830078125 +1985,40,0,homicide,15-17 yrs,4,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,2.6868178844451904 +1985,40,0,other external,15-17 yrs,20,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,13.434088706970215 +1985,40,0,internal,15-17 yrs,25,148875,15.975234031677246,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,16.792612075805664 +1985,40,0,all,18-20 yrs,179,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,117.11287689208984 +1985,40,0,MVA,18-20 yrs,84,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,54.9579963684082 +1985,40,0,suicide,18-20 yrs,23,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,15.048023223876953 +1985,40,0,homicide,18-20 yrs,12,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,7.851142406463623 +1985,40,0,other external,18-20 yrs,29,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,18.973594665527344 +1985,40,0,internal,18-20 yrs,31,152844,19.049245834350586,0,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,20.28211784362793 +1985,40,0,all,21-24 yrs,245,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,106.21832275390625 +1985,40,0,MVA,21-24 yrs,84,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,36.41770935058594 +1985,40,0,suicide,21-24 yrs,47,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,20.376577377319336 +1985,40,0,homicide,21-24 yrs,22,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,9.537971496582031 +1985,40,0,other external,21-24 yrs,39,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,16.908222198486328 +1985,40,0,internal,21-24 yrs,53,230657,22.525983810424805,1,0.3747451901435852,1.0399999618530273,0.15000000596046448,0.6800000071525574,1.8700000047683716,22.977842330932617 +1986,40,0,MVA,15-17 yrs,52,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,34.13417434692383 +1986,40,0,suicide,15-17 yrs,19,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,12.472102165222168 +1986,40,0,homicide,15-17 yrs,8,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,5.251411437988281 +1986,40,0,other external,15-17 yrs,15,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,9.846396446228027 +1986,40,0,internal,15-17 yrs,29,152340,15.976506233215332,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,19.036365509033203 +1986,40,0,all,18-20 yrs,152,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,104.3125 +1986,40,0,MVA,18-20 yrs,64,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,43.921051025390625 +1986,40,0,suicide,18-20 yrs,25,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,17.156660079956055 +1986,40,0,homicide,18-20 yrs,8,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,5.490131378173828 +1986,40,0,other external,18-20 yrs,14,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,9.6077299118042 +1986,40,0,internal,18-20 yrs,41,145716,19.02250862121582,0,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,28.136924743652344 +1986,40,0,all,21-24 yrs,248,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,113.56611633300781 +1986,40,0,MVA,21-24 yrs,98,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,44.876930236816406 +1986,40,0,suicide,21-24 yrs,33,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,15.11161994934082 +1986,40,0,homicide,21-24 yrs,37,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,16.943330764770508 +1986,40,0,other external,21-24 yrs,33,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,15.11161994934082 +1986,40,0,internal,21-24 yrs,47,218375,22.535377502441406,1,0.367906779050827,1.0399999618530273,0.15000000596046448,0.6100000143051147,1.7999999523162842,21.52260971069336 +1987,40,0,MVA,15-17 yrs,44,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,29.21181297302246 +1987,40,0,suicide,15-17 yrs,14,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,9.29466724395752 +1987,40,0,homicide,15-17 yrs,7,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,4.64733362197876 +1987,40,0,other external,15-17 yrs,13,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,8.630763053894043 +1987,40,0,internal,15-17 yrs,24,150624,16.002004623413086,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,15.9337158203125 +1987,40,0,all,18-20 yrs,150,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,104.87017059326172 +1987,40,0,MVA,18-20 yrs,57,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,39.85066604614258 +1987,40,0,suicide,18-20 yrs,30,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,20.97403335571289 +1987,40,0,homicide,18-20 yrs,17,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,11.885286331176758 +1987,40,0,other external,18-20 yrs,15,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,10.487016677856445 +1987,40,0,internal,18-20 yrs,31,143034,19.001306533813477,0,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,21.673168182373047 +1987,40,0,all,21-24 yrs,215,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,106.34088134765625 +1987,40,0,MVA,21-24 yrs,72,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,35.61183166503906 +1987,40,0,suicide,21-24 yrs,41,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,20.278959274291992 +1987,40,0,homicide,21-24 yrs,32,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,15.82748031616211 +1987,40,0,other external,21-24 yrs,30,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,14.838262557983398 +1987,40,0,internal,21-24 yrs,40,202180,22.554218292236328,1,0.35495230555534363,1.0399999618530273,0.15000000596046448,0.5699999928474426,1.7599999904632568,19.784351348876953 +1988,40,0,MVA,15-17 yrs,43,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,29.793455123901367 +1988,40,0,suicide,15-17 yrs,11,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,7.621581554412842 +1988,40,0,homicide,15-17 yrs,10,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,6.928710460662842 +1988,40,0,other external,15-17 yrs,16,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,11.085936546325684 +1988,40,0,internal,15-17 yrs,27,144327,16.032503128051758,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,18.707517623901367 +1988,40,0,all,18-20 yrs,157,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,109.18169403076172 +1988,40,0,MVA,18-20 yrs,70,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,48.67973709106445 +1988,40,0,suicide,18-20 yrs,22,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,15.299345970153809 +1988,40,0,homicide,18-20 yrs,16,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,11.12679672241211 +1988,40,0,other external,18-20 yrs,18,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,12.517646789550781 +1988,40,0,internal,18-20 yrs,31,143797,18.991168975830078,0,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,21.558168411254883 +1988,40,0,all,21-24 yrs,187,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,99.6727294921875 +1988,40,0,MVA,21-24 yrs,74,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,39.442684173583984 +1988,40,0,suicide,21-24 yrs,33,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,17.589305877685547 +1988,40,0,homicide,21-24 yrs,20,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,10.660184860229492 +1988,40,0,other external,21-24 yrs,20,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,10.660184860229492 +1988,40,0,internal,21-24 yrs,40,187614,22.550981521606445,1,0.34085020422935486,1.0499999523162842,0.14000000059604645,0.5,1.690000057220459,21.320369720458984 +1989,40,0,MVA,15-17 yrs,61,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,44.61118698120117 +1989,40,0,suicide,15-17 yrs,22,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,16.08928108215332 +1989,40,0,homicide,15-17 yrs,9,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,6.5819783210754395 +1989,40,0,other external,15-17 yrs,10,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,7.313309669494629 +1989,40,0,internal,15-17 yrs,29,136737,16.023841857910156,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,21.20859718322754 +1989,40,0,all,18-20 yrs,153,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,103.4468765258789 +1989,40,0,MVA,18-20 yrs,83,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,56.11824035644531 +1989,40,0,suicide,18-20 yrs,17,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,11.494097709655762 +1989,40,0,homicide,18-20 yrs,16,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,10.817974090576172 +1989,40,0,other external,18-20 yrs,15,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,10.141850471496582 +1989,40,0,internal,18-20 yrs,22,147902,18.99098777770996,0,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,14.874713897705078 +1989,40,0,all,21-24 yrs,193,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,108.488525390625 +1989,40,0,MVA,21-24 yrs,65,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,36.5375862121582 +1989,40,0,suicide,21-24 yrs,29,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,16.30138397216797 +1989,40,0,homicide,21-24 yrs,22,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,12.366567611694336 +1989,40,0,other external,21-24 yrs,26,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,14.615034103393555 +1989,40,0,internal,21-24 yrs,51,177899,22.51968765258789,1,0.32518211007118225,1.0499999523162842,0.12999999523162842,0.5299999713897705,1.7000000476837158,28.667951583862305 +1990,40,0,MVA,15-17 yrs,40,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,29.706867218017578 +1990,40,0,suicide,15-17 yrs,19,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.110761642456055 +1990,40,0,homicide,15-17 yrs,17,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,12.625418663024902 +1990,40,0,other external,15-17 yrs,19,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.110761642456055 +1990,40,0,internal,15-17 yrs,26,134649,15.99819564819336,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,19.309463500976562 +1990,40,0,all,18-20 yrs,158,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,106.34574127197266 +1990,40,0,MVA,18-20 yrs,73,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,49.13442611694336 +1990,40,0,suicide,18-20 yrs,24,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,16.153783798217773 +1990,40,0,homicide,18-20 yrs,22,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,14.807635307312012 +1990,40,0,other external,18-20 yrs,14,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,9.423040390014648 +1990,40,0,internal,18-20 yrs,25,148572,19.02150535583496,0,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,16.826858520507812 +1990,40,0,all,21-24 yrs,192,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,110.42669677734375 +1990,40,0,MVA,21-24 yrs,68,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,39.10945510864258 +1990,40,0,suicide,21-24 yrs,30,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,17.25417137145996 +1990,40,0,homicide,21-24 yrs,31,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,17.829309463500977 +1990,40,0,other external,21-24 yrs,15,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,8.62708568572998 +1990,40,0,internal,21-24 yrs,48,173871,22.469715118408203,1,0.30851247906684875,1.1200000047683716,0.14000000059604645,0.550000011920929,1.809999942779541,27.606674194335938 +1991,40,0,MVA,15-17 yrs,67,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,49.33144760131836 +1991,40,0,suicide,15-17 yrs,15,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,11.044354438781738 +1991,40,0,homicide,15-17 yrs,13,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,9.571773529052734 +1991,40,0,other external,15-17 yrs,13,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,9.571773529052734 +1991,40,0,internal,15-17 yrs,24,135816,15.998806953430176,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.67096710205078 +1991,40,0,all,18-20 yrs,187,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,128.82957458496094 +1991,40,0,MVA,18-20 yrs,72,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,49.60283279418945 +1991,40,0,suicide,18-20 yrs,27,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,18.601062774658203 +1991,40,0,homicide,18-20 yrs,31,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,21.356775283813477 +1991,40,0,other external,18-20 yrs,25,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.22320556640625 +1991,40,0,internal,18-20 yrs,32,145153,19.04522132873535,0,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,22.045703887939453 +1991,40,0,all,21-24 yrs,179,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,100.99813079833984 +1991,40,0,MVA,21-24 yrs,61,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,34.418357849121094 +1991,40,0,suicide,21-24 yrs,21,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,11.848942756652832 +1991,40,0,homicide,21-24 yrs,27,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,15.234354972839355 +1991,40,0,other external,21-24 yrs,31,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,17.491296768188477 +1991,40,0,internal,21-24 yrs,39,177231,22.439054489135742,1,0.2960541844367981,1.090000033378601,0.12999999523162842,0.5400000214576721,1.7599999904632568,22.00518035888672 +1992,40,0,MVA,15-17 yrs,52,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,37.14206314086914 +1992,40,0,suicide,15-17 yrs,16,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,11.428326606750488 +1992,40,0,homicide,15-17 yrs,14,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,9.999785423278809 +1992,40,0,other external,15-17 yrs,9,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,6.428433895111084 +1992,40,0,internal,15-17 yrs,21,140003,15.998421669006348,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,14.999678611755371 +1992,40,0,all,18-20 yrs,149,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,105.17919158935547 +1992,40,0,MVA,18-20 yrs,67,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,47.29534149169922 +1992,40,0,suicide,18-20 yrs,26,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,18.353416442871094 +1992,40,0,homicide,18-20 yrs,16,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,11.29440975189209 +1992,40,0,other external,18-20 yrs,10,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,7.059006214141846 +1992,40,0,internal,18-20 yrs,30,141663,19.035097122192383,0,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,21.177019119262695 +1992,40,0,all,21-24 yrs,186,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,100.72129821777344 +1992,40,0,MVA,21-24 yrs,47,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,25.451080322265625 +1992,40,0,suicide,21-24 yrs,38,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,20.577468872070312 +1992,40,0,homicide,21-24 yrs,27,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,14.620833396911621 +1992,40,0,other external,21-24 yrs,29,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,15.703857421875 +1992,40,0,internal,21-24 yrs,45,184668,22.428422927856445,1,0.28740257024765015,1.1299999952316284,0.12999999523162842,0.550000011920929,1.809999942779541,24.36805534362793 +1993,40,0,MVA,15-17 yrs,45,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,31.705547332763672 +1993,40,0,suicide,15-17 yrs,14,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.863947868347168 +1993,40,0,homicide,15-17 yrs,13,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.159379959106445 +1993,40,0,other external,15-17 yrs,14,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,9.863947868347168 +1993,40,0,internal,15-17 yrs,25,141931,15.994025230407715,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,17.614192962646484 +1993,40,0,all,18-20 yrs,200,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,141.45172119140625 +1993,40,0,MVA,18-20 yrs,90,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,63.65327453613281 +1993,40,0,suicide,18-20 yrs,26,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.388723373413086 +1993,40,0,homicide,18-20 yrs,24,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,16.974206924438477 +1993,40,0,other external,18-20 yrs,23,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,16.26694679260254 +1993,40,0,internal,18-20 yrs,37,141391,19.00724220275879,0,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,26.168567657470703 +1993,40,0,all,21-24 yrs,201,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,106.73208618164062 +1993,40,0,MVA,21-24 yrs,65,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,34.515350341796875 +1993,40,0,suicide,21-24 yrs,42,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,22.302227020263672 +1993,40,0,homicide,21-24 yrs,34,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.054183959960938 +1993,40,0,other external,21-24 yrs,25,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,13.275135040283203 +1993,40,0,internal,21-24 yrs,35,188322,22.46373176574707,1,0.27904900908470154,1.1100000143051147,0.10999999940395355,0.47999998927116394,1.7000000476837158,18.585189819335938 +1994,40,0,MVA,15-17 yrs,55,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,37.72446060180664 +1994,40,0,suicide,15-17 yrs,15,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,10.28848934173584 +1994,40,0,homicide,15-17 yrs,23,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,15.775683403015137 +1994,40,0,other external,15-17 yrs,24,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,16.46158218383789 +1994,40,0,internal,15-17 yrs,19,145794,15.993820190429688,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,13.032086372375488 +1994,40,0,all,18-20 yrs,158,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,111.12126922607422 +1994,40,0,MVA,18-20 yrs,59,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,41.494651794433594 +1994,40,0,suicide,18-20 yrs,24,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,16.879180908203125 +1994,40,0,homicide,18-20 yrs,22,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,15.47258186340332 +1994,40,0,other external,18-20 yrs,20,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,14.065983772277832 +1994,40,0,internal,18-20 yrs,33,142187,19.008052825927734,0,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,23.208873748779297 +1994,40,0,all,21-24 yrs,220,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,117.60932159423828 +1994,40,0,MVA,21-24 yrs,80,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,42.767024993896484 +1994,40,0,suicide,21-24 yrs,45,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,24.05645179748535 +1994,40,0,homicide,21-24 yrs,21,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,11.226344108581543 +1994,40,0,other external,21-24 yrs,20,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,10.691756248474121 +1994,40,0,internal,21-24 yrs,54,187060,22.506725311279297,1,0.27208220958709717,1.149999976158142,0.12999999523162842,0.5,1.7799999713897705,28.86774253845215 +1995,40,0,MVA,15-17 yrs,50,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,33.209129333496094 +1995,40,0,suicide,15-17 yrs,14,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,9.298556327819824 +1995,40,0,homicide,15-17 yrs,10,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,6.641826152801514 +1995,40,0,other external,15-17 yrs,12,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,7.970191478729248 +1995,40,0,internal,15-17 yrs,36,150561,15.972894668579102,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,23.910573959350586 +1995,40,0,all,18-20 yrs,164,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,112.84662628173828 +1995,40,0,MVA,18-20 yrs,57,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,39.22108459472656 +1995,40,0,suicide,18-20 yrs,28,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,19.266496658325195 +1995,40,0,homicide,18-20 yrs,25,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,17.202228546142578 +1995,40,0,other external,18-20 yrs,21,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,14.449872970581055 +1995,40,0,internal,18-20 yrs,33,145330,19.009138107299805,0,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,22.70694351196289 +1995,40,0,all,21-24 yrs,216,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,117.60478210449219 +1995,40,0,MVA,21-24 yrs,65,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,35.39032745361328 +1995,40,0,suicide,21-24 yrs,53,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,28.85672950744629 +1995,40,0,homicide,21-24 yrs,28,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,15.245064735412598 +1995,40,0,other external,21-24 yrs,27,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,14.700597763061523 +1995,40,0,internal,21-24 yrs,43,183666,22.51852798461914,1,0.26458388566970825,1.100000023841858,0.11999999731779099,0.4399999976158142,1.659999966621399,23.412063598632812 +1996,40,0,MVA,15-17 yrs,58,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,37.375709533691406 +1996,40,0,suicide,15-17 yrs,13,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,8.377314567565918 +1996,40,0,homicide,15-17 yrs,17,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.954949378967285 +1996,40,0,other external,15-17 yrs,10,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,6.444087982177734 +1996,40,0,internal,15-17 yrs,16,155181,15.984347343444824,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.310540199279785 +1996,40,0,all,18-20 yrs,165,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,112.1769790649414 +1996,40,0,MVA,18-20 yrs,72,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,48.949954986572266 +1996,40,0,suicide,18-20 yrs,23,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,15.636791229248047 +1996,40,0,homicide,18-20 yrs,25,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,16.996511459350586 +1996,40,0,other external,18-20 yrs,17,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,11.557628631591797 +1996,40,0,internal,18-20 yrs,28,147089,19.006145477294922,0,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,19.036094665527344 +1996,40,0,all,21-24 yrs,184,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,101.443359375 +1996,40,0,MVA,21-24 yrs,61,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,33.630680084228516 +1996,40,0,suicide,21-24 yrs,38,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,20.950260162353516 +1996,40,0,homicide,21-24 yrs,29,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,15.98835563659668 +1996,40,0,other external,21-24 yrs,19,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,10.475130081176758 +1996,40,0,internal,21-24 yrs,37,181382,22.48172950744629,1,0.25699543952941895,1.090000033378601,0.11999999731779099,0.44999998807907104,1.659999966621399,20.398937225341797 +1970,41,0,MVA,15-17 yrs,66,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,51.519432067871094 +1970,41,0,suicide,15-17 yrs,4,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,3.122389793395996 +1970,41,0,homicide,15-17 yrs,2,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,1.561194896697998 +1970,41,0,other external,15-17 yrs,36,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,28.10150909423828 +1970,41,0,internal,15-17 yrs,25,128107,15.997713088989258,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,19.514936447143555 +1970,41,0,all,18-20 yrs,147,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,134.10450744628906 +1970,41,0,MVA,18-20 yrs,67,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,61.12246322631836 +1970,41,0,suicide,18-20 yrs,13,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,11.859582901000977 +1970,41,0,homicide,18-20 yrs,7,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,6.385929107666016 +1970,41,0,other external,18-20 yrs,28,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,25.543716430664062 +1970,41,0,internal,18-20 yrs,32,109616,18.950044631958008,0,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,29.19281768798828 +1970,41,0,all,21-24 yrs,189,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,147.01535034179688 +1970,41,0,MVA,21-24 yrs,90,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,70.00730895996094 +1970,41,0,suicide,21-24 yrs,15,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,11.667885780334473 +1970,41,0,homicide,21-24 yrs,10,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,7.778590202331543 +1970,41,0,other external,21-24 yrs,27,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,21.002193450927734 +1970,41,0,internal,21-24 yrs,47,128558,22.43486213684082,1,0.1080811470746994,1.1699999570846558,0.38999998569488525,0.8999999761581421,2.4700000286102295,36.55937576293945 +1971,41,0,MVA,15-17 yrs,35,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,27.189111709594727 +1971,41,0,suicide,15-17 yrs,5,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,3.8841588497161865 +1971,41,0,homicide,15-17 yrs,0,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,0 +1971,41,0,other external,15-17 yrs,28,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,21.75128936767578 +1971,41,0,internal,15-17 yrs,22,128728,16.000730514526367,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,17.090299606323242 +1971,41,0,all,18-20 yrs,186,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,157.86123657226562 +1971,41,0,MVA,18-20 yrs,81,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,68.74602508544922 +1971,41,0,suicide,18-20 yrs,10,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,8.487163543701172 +1971,41,0,homicide,18-20 yrs,6,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,5.0922980308532715 +1971,41,0,other external,18-20 yrs,49,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,41.587100982666016 +1971,41,0,internal,18-20 yrs,40,117825,18.945240020751953,0,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,33.94865417480469 +1971,41,0,all,21-24 yrs,239,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,165.6845703125 +1971,41,0,MVA,21-24 yrs,105,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,72.79029083251953 +1971,41,0,suicide,21-24 yrs,30,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,20.79722785949707 +1971,41,0,homicide,21-24 yrs,11,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,7.625649929046631 +1971,41,0,other external,21-24 yrs,48,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,33.27556228637695 +1971,41,0,internal,21-24 yrs,45,144250,22.570045471191406,1,0.10354440659284592,1.2100000381469727,0.44999998807907104,0.9100000262260437,2.569999933242798,31.19584083557129 +1972,41,0,MVA,15-17 yrs,58,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,44.58348846435547 +1972,41,0,suicide,15-17 yrs,10,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,7.6868085861206055 +1972,41,0,homicide,15-17 yrs,8,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,6.149446964263916 +1972,41,0,other external,15-17 yrs,28,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,21.52306365966797 +1972,41,0,internal,15-17 yrs,34,130093,15.983988761901855,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,26.135149002075195 +1972,41,0,all,18-20 yrs,180,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,145.32301330566406 +1972,41,0,MVA,18-20 yrs,70,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,56.51450729370117 +1972,41,0,suicide,18-20 yrs,18,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,14.532301902770996 +1972,41,0,homicide,18-20 yrs,6,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,4.844100475311279 +1972,41,0,other external,18-20 yrs,48,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,38.752803802490234 +1972,41,0,internal,18-20 yrs,38,123862,18.968528747558594,0,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,30.679304122924805 +1972,41,0,all,21-24 yrs,222,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,151.95071411132812 +1972,41,0,MVA,21-24 yrs,108,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,73.9219741821289 +1972,41,0,suicide,21-24 yrs,18,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,12.320328712463379 +1972,41,0,homicide,21-24 yrs,20,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,13.689253807067871 +1972,41,0,other external,21-24 yrs,36,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,24.640657424926758 +1972,41,0,internal,21-24 yrs,40,146100,22.534038543701172,1,0.1003241315484047,1.2400000095367432,0.4699999988079071,0.8899999856948853,2.5999999046325684,27.378507614135742 +1973,41,0,MVA,15-17 yrs,49,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,37.15837097167969 +1973,41,0,suicide,15-17 yrs,7,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,5.308338642120361 +1973,41,0,homicide,15-17 yrs,3,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,2.2750022411346436 +1973,41,0,other external,15-17 yrs,29,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,21.991687774658203 +1973,41,0,internal,15-17 yrs,30,131868,15.989330291748047,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,22.750022888183594 +1973,41,0,all,18-20 yrs,171,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,135.48739624023438 +1973,41,0,MVA,18-20 yrs,75,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,59.42429733276367 +1973,41,0,suicide,18-20 yrs,18,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,14.261831283569336 +1973,41,0,homicide,18-20 yrs,5,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,3.9616198539733887 +1973,41,0,other external,18-20 yrs,33,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,26.146690368652344 +1973,41,0,internal,18-20 yrs,40,126211,18.997774124145508,0,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,31.69295883178711 +1973,41,0,all,21-24 yrs,220,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,145.86441040039062 +1973,41,0,MVA,21-24 yrs,94,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,62.32388687133789 +1973,41,0,suicide,21-24 yrs,33,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,21.879661560058594 +1973,41,0,homicide,21-24 yrs,8,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,5.3041605949401855 +1973,41,0,other external,21-24 yrs,51,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,33.814022064208984 +1973,41,0,internal,21-24 yrs,34,150825,22.51891326904297,1,0.09444928914308548,1.2200000286102295,0.49000000953674316,0.9300000071525574,2.640000104904175,22.542682647705078 +1974,41,0,MVA,15-17 yrs,71,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,53.43488311767578 +1974,41,0,suicide,15-17 yrs,9,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,6.773436069488525 +1974,41,0,homicide,15-17 yrs,4,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,3.010416030883789 +1974,41,0,other external,15-17 yrs,26,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,19.567705154418945 +1974,41,0,internal,15-17 yrs,28,132872,16.00151252746582,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,21.072912216186523 +1974,41,0,all,18-20 yrs,197,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,155.10467529296875 +1974,41,0,MVA,18-20 yrs,75,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,59.05000305175781 +1974,41,0,suicide,18-20 yrs,22,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,17.321334838867188 +1974,41,0,homicide,18-20 yrs,12,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,9.44800090789795 +1974,41,0,other external,18-20 yrs,55,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,43.30333709716797 +1974,41,0,internal,18-20 yrs,33,127011,19.005353927612305,0,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,25.98200225830078 +1974,41,0,all,21-24 yrs,254,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,161.93711853027344 +1974,41,0,MVA,21-24 yrs,101,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,64.39231872558594 +1974,41,0,suicide,21-24 yrs,36,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,22.951719284057617 +1974,41,0,homicide,21-24 yrs,18,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,11.475859642028809 +1974,41,0,other external,21-24 yrs,57,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,36.3402214050293 +1974,41,0,internal,21-24 yrs,42,156851,22.479639053344727,1,0.08506183326244354,1.2699999809265137,0.5199999809265137,0.9399999976158142,2.7200000286102295,26.77700424194336 +1975,41,0,MVA,15-17 yrs,68,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,51.115135192871094 +1975,41,0,suicide,15-17 yrs,7,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,5.261852264404297 +1975,41,0,homicide,15-17 yrs,6,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,4.510159015655518 +1975,41,0,other external,15-17 yrs,34,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,25.557567596435547 +1975,41,0,internal,15-17 yrs,18,133033,15.995068550109863,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,13.530477523803711 +1975,41,0,all,18-20 yrs,174,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,135.85577392578125 +1975,41,0,MVA,18-20 yrs,77,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,60.12008285522461 +1975,41,0,suicide,18-20 yrs,17,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,13.27326488494873 +1975,41,0,homicide,18-20 yrs,11,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,8.588582992553711 +1975,41,0,other external,18-20 yrs,35,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,27.32731056213379 +1975,41,0,internal,18-20 yrs,34,128077,18.989295959472656,0,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,26.54652976989746 +1975,41,0,all,21-24 yrs,238,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,144.25729370117188 +1975,41,0,MVA,21-24 yrs,82,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,49.702091217041016 +1975,41,0,suicide,21-24 yrs,40,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,24.244922637939453 +1975,41,0,homicide,21-24 yrs,14,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,8.485722541809082 +1975,41,0,other external,21-24 yrs,50,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,30.30615234375 +1975,41,0,internal,21-24 yrs,52,164983,22.480783462524414,1,0.11692049354314804,1.2799999713897705,0.5299999713897705,0.949999988079071,2.759999990463257,31.51839828491211 +1976,41,0,MVA,15-17 yrs,60,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,44.3350830078125 +1976,41,0,suicide,15-17 yrs,5,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,3.6945903301239014 +1976,41,0,homicide,15-17 yrs,3,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,2.216754198074341 +1976,41,0,other external,15-17 yrs,34,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,25.123214721679688 +1976,41,0,internal,15-17 yrs,28,135333,15.98007869720459,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,20.689706802368164 +1976,41,0,all,18-20 yrs,188,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,144.99795532226562 +1976,41,0,MVA,18-20 yrs,95,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,73.2702407836914 +1976,41,0,suicide,18-20 yrs,20,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,15.425314903259277 +1976,41,0,homicide,18-20 yrs,6,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,4.627594470977783 +1976,41,0,other external,18-20 yrs,36,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,27.765565872192383 +1976,41,0,internal,18-20 yrs,31,129657,18.99549674987793,0,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,23.909236907958984 +1976,41,0,all,21-24 yrs,201,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,117.00536346435547 +1976,41,0,MVA,21-24 yrs,78,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,45.405067443847656 +1976,41,0,suicide,21-24 yrs,28,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,16.299253463745117 +1976,41,0,homicide,21-24 yrs,17,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,9.895976066589355 +1976,41,0,other external,21-24 yrs,44,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,25.613113403320312 +1976,41,0,internal,21-24 yrs,34,171787,22.511638641357422,1,0.11055047810077667,1.2999999523162842,0.5,0.9599999785423279,2.75,19.79195213317871 +1977,41,0,MVA,15-17 yrs,62,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,45.014957427978516 +1977,41,0,suicide,15-17 yrs,10,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,7.260477066040039 +1977,41,0,homicide,15-17 yrs,5,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,3.6302385330200195 +1977,41,0,other external,15-17 yrs,22,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,15.97304916381836 +1977,41,0,internal,15-17 yrs,29,137732,15.991809844970703,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,21.055383682250977 +1977,41,0,all,18-20 yrs,201,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,152.45521545410156 +1977,41,0,MVA,18-20 yrs,96,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,72.8144302368164 +1977,41,0,suicide,18-20 yrs,19,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,14.411189079284668 +1977,41,0,homicide,18-20 yrs,10,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,7.584836483001709 +1977,41,0,other external,18-20 yrs,44,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,33.3732795715332 +1977,41,0,internal,18-20 yrs,32,131842,19.01031494140625,0,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,24.27147674560547 +1977,41,0,all,21-24 yrs,274,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,153.69857788085938 +1977,41,0,MVA,21-24 yrs,105,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,58.89909362792969 +1977,41,0,suicide,21-24 yrs,38,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,21.31586265563965 +1977,41,0,homicide,21-24 yrs,20,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,11.21887493133545 +1977,41,0,other external,21-24 yrs,57,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,31.973793029785156 +1977,41,0,internal,21-24 yrs,54,178271,22.53957748413086,1,0.13840094208717346,1.3300000429153442,0.46000000834465027,0.9599999785423279,2.740000009536743,30.29096221923828 +1978,41,0,MVA,15-17 yrs,63,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,45.371070861816406 +1978,41,0,suicide,15-17 yrs,7,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,5.041230201721191 +1978,41,0,homicide,15-17 yrs,4,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,2.8807029724121094 +1978,41,0,other external,15-17 yrs,28,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,20.164920806884766 +1978,41,0,internal,15-17 yrs,14,138855,16.013769149780273,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,10.082460403442383 +1978,41,0,all,18-20 yrs,209,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,157.06373596191406 +1978,41,0,MVA,18-20 yrs,104,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,78.15612030029297 +1978,41,0,suicide,18-20 yrs,21,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,15.781523704528809 +1978,41,0,homicide,18-20 yrs,10,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,7.515011310577393 +1978,41,0,other external,18-20 yrs,46,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,34.56904983520508 +1978,41,0,internal,18-20 yrs,28,133067,19.003524780273438,0,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,21.04203224182129 +1978,41,0,all,21-24 yrs,250,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,136.25241088867188 +1978,41,0,MVA,21-24 yrs,93,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,50.68589401245117 +1978,41,0,suicide,21-24 yrs,37,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,20.165355682373047 +1978,41,0,homicide,21-24 yrs,18,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,9.810173034667969 +1978,41,0,other external,21-24 yrs,63,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,34.33560562133789 +1978,41,0,internal,21-24 yrs,39,183483,22.532943725585938,1,0.1286364644765854,1.340000033378601,0.4699999988079071,0.9800000190734863,2.7899999618530273,21.255374908447266 +1979,41,0,MVA,15-17 yrs,53,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,39.12189865112305 +1979,41,0,suicide,15-17 yrs,9,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,6.643341064453125 +1979,41,0,homicide,15-17 yrs,3,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,2.214447021484375 +1979,41,0,other external,15-17 yrs,28,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,20.66817283630371 +1979,41,0,internal,15-17 yrs,16,135474,16.021900177001953,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,11.810384750366211 +1979,41,0,all,18-20 yrs,162,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,118.74656677246094 +1979,41,0,MVA,18-20 yrs,76,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,55.7082633972168 +1979,41,0,suicide,18-20 yrs,21,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,15.393073081970215 +1979,41,0,homicide,18-20 yrs,14,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,10.262048721313477 +1979,41,0,other external,18-20 yrs,30,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,21.99010467529297 +1979,41,0,internal,18-20 yrs,21,136425,18.989707946777344,0,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,15.393073081970215 +1979,41,0,all,21-24 yrs,271,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,144.64288330078125 +1979,41,0,MVA,21-24 yrs,115,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,61.379817962646484 +1979,41,0,suicide,21-24 yrs,42,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,22.416976928710938 +1979,41,0,homicide,21-24 yrs,10,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,5.337375640869141 +1979,41,0,other external,21-24 yrs,62,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,33.09172821044922 +1979,41,0,internal,21-24 yrs,42,187358,22.529979705810547,1,0.11552475392818451,1.3899999856948853,0.4699999988079071,0.9599999785423279,2.819999933242798,22.416976928710938 +1980,41,0,MVA,15-17 yrs,54,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,40.817867279052734 +1980,41,0,suicide,15-17 yrs,13,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,9.826523780822754 +1980,41,0,homicide,15-17 yrs,4,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,3.023545980453491 +1980,41,0,other external,15-17 yrs,22,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,16.629501342773438 +1980,41,0,internal,15-17 yrs,19,132295,16.028209686279297,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,14.36184310913086 +1980,41,0,all,18-20 yrs,187,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,135.02098083496094 +1980,41,0,MVA,18-20 yrs,86,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,62.09520721435547 +1980,41,0,suicide,18-20 yrs,24,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,17.328895568847656 +1980,41,0,homicide,18-20 yrs,13,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,9.38648509979248 +1980,41,0,other external,18-20 yrs,36,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,25.993343353271484 +1980,41,0,internal,18-20 yrs,28,138497,19.004541397094727,0,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,20.217044830322266 +1980,41,0,all,21-24 yrs,234,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,122.57084655761719 +1980,41,0,MVA,21-24 yrs,96,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,50.28547668457031 +1980,41,0,suicide,21-24 yrs,35,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,18.3332462310791 +1980,41,0,homicide,21-24 yrs,21,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,10.999947547912598 +1980,41,0,other external,21-24 yrs,41,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,21.47608757019043 +1980,41,0,internal,21-24 yrs,41,190910,22.53504753112793,1,0.10178515315055847,1.3700000047683716,0.5099999904632568,0.9399999976158142,2.819999933242798,21.47608757019043 +1981,41,0,MVA,15-17 yrs,46,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,36.181156158447266 +1981,41,0,suicide,15-17 yrs,11,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,8.652015686035156 +1981,41,0,homicide,15-17 yrs,4,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,3.1461875438690186 +1981,41,0,other external,15-17 yrs,26,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,20.450220108032227 +1981,41,0,internal,15-17 yrs,20,127138,16.022109985351562,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,15.730937957763672 +1981,41,0,all,18-20 yrs,155,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,113.32231903076172 +1981,41,0,MVA,18-20 yrs,63,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,46.06003952026367 +1981,41,0,suicide,18-20 yrs,22,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,16.084457397460938 +1981,41,0,homicide,18-20 yrs,10,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,7.311117172241211 +1981,41,0,other external,18-20 yrs,33,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,24.126686096191406 +1981,41,0,internal,18-20 yrs,27,136778,19.01627540588379,0,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,19.74001693725586 +1981,41,0,all,21-24 yrs,227,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,121.9839859008789 +1981,41,0,MVA,21-24 yrs,96,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,51.58794021606445 +1981,41,0,suicide,21-24 yrs,32,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,17.195980072021484 +1981,41,0,homicide,21-24 yrs,19,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,10.210113525390625 +1981,41,0,other external,21-24 yrs,32,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,17.195980072021484 +1981,41,0,internal,21-24 yrs,48,186090,22.54213523864746,1,0.09226728975772858,1.3799999952316284,0.5,0.9200000166893005,2.799999952316284,25.793970108032227 +1982,41,0,MVA,15-17 yrs,31,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,25.438194274902344 +1982,41,0,suicide,15-17 yrs,12,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,9.84704303741455 +1982,41,0,homicide,15-17 yrs,6,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,4.923521518707275 +1982,41,0,other external,15-17 yrs,15,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,12.30880355834961 +1982,41,0,internal,15-17 yrs,20,121864,16.010700225830078,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,16.4117374420166 +1982,41,0,all,18-20 yrs,135,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,102.82032012939453 +1982,41,0,MVA,18-20 yrs,64,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,48.744449615478516 +1982,41,0,suicide,18-20 yrs,15,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,11.424480438232422 +1982,41,0,homicide,18-20 yrs,10,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,7.6163201332092285 +1982,41,0,other external,18-20 yrs,23,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,17.517536163330078 +1982,41,0,internal,18-20 yrs,23,131297,19.022430419921875,0,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,17.517536163330078 +1982,41,0,all,21-24 yrs,174,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,96.66881561279297 +1982,41,0,MVA,21-24 yrs,66,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,36.66748046875 +1982,41,0,suicide,21-24 yrs,29,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,16.111469268798828 +1982,41,0,homicide,21-24 yrs,18,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,10.000222206115723 +1982,41,0,other external,21-24 yrs,26,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,14.444765090942383 +1982,41,0,internal,21-24 yrs,35,179996,22.519695281982422,1,0.08691292256116867,1.3300000429153442,0.5299999713897705,0.8799999952316284,2.740000009536743,19.444875717163086 +1983,41,0,MVA,15-17 yrs,33,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,27.93083381652832 +1983,41,0,suicide,15-17 yrs,6,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,5.078333377838135 +1983,41,0,homicide,15-17 yrs,5,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,4.231944561004639 +1983,41,0,other external,15-17 yrs,17,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,14.38861083984375 +1983,41,0,internal,15-17 yrs,20,118149,16.001659393310547,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,16.927778244018555 +1983,41,0,all,18-20 yrs,141,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,113.50920867919922 +1983,41,0,MVA,18-20 yrs,64,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,51.521907806396484 +1983,41,0,suicide,18-20 yrs,19,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,15.29556655883789 +1983,41,0,homicide,18-20 yrs,8,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,6.4402384757995605 +1983,41,0,other external,18-20 yrs,20,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,16.100597381591797 +1983,41,0,internal,18-20 yrs,30,124219,19.030799865722656,0,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,24.150894165039062 +1983,41,0,all,21-24 yrs,206,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,118.2175521850586 +1983,41,0,MVA,21-24 yrs,82,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,47.057472229003906 +1983,41,0,suicide,21-24 yrs,36,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,20.659378051757812 +1983,41,0,homicide,21-24 yrs,9,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,5.164844512939453 +1983,41,0,other external,21-24 yrs,38,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,21.80712127685547 +1983,41,0,internal,21-24 yrs,41,174255,22.510540008544922,1,0.08420780301094055,1.309999942779541,0.5299999713897705,0.8500000238418579,2.690000057220459,23.528736114501953 +1984,41,0,MVA,15-17 yrs,50,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,42.18448257446289 +1984,41,0,suicide,15-17 yrs,8,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,6.74951696395874 +1984,41,0,homicide,15-17 yrs,2,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,1.687379240989685 +1984,41,0,other external,15-17 yrs,16,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,13.49903392791748 +1984,41,0,internal,15-17 yrs,20,118527,15.984366416931152,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.87379264831543 +1984,41,0,all,18-20 yrs,139,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,117.10391235351562 +1984,41,0,MVA,18-20 yrs,67,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,56.445770263671875 +1984,41,0,suicide,18-20 yrs,19,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.007009506225586 +1984,41,0,homicide,18-20 yrs,13,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,10.952164649963379 +1984,41,0,other external,18-20 yrs,21,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,17.691957473754883 +1984,41,0,internal,18-20 yrs,19,118698,19.02667236328125,0,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,16.007009506225586 +1984,41,0,all,21-24 yrs,229,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,133.78121948242188 +1984,41,0,MVA,21-24 yrs,91,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,53.16196823120117 +1984,41,0,suicide,21-24 yrs,32,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,18.694318771362305 +1984,41,0,homicide,21-24 yrs,14,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,8.178764343261719 +1984,41,0,other external,21-24 yrs,43,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,25.12049102783203 +1984,41,0,internal,21-24 yrs,49,171175,22.51659393310547,1,0.08072277903556824,1.2799999713897705,0.5299999713897705,0.8199999928474426,2.630000114440918,28.625675201416016 +1985,41,0,MVA,15-17 yrs,43,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,35.69827651977539 +1985,41,0,suicide,15-17 yrs,14,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,11.62269401550293 +1985,41,0,homicide,15-17 yrs,2,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,1.6603848934173584 +1985,41,0,other external,15-17 yrs,16,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,13.283079147338867 +1985,41,0,internal,15-17 yrs,20,120454,15.972354888916016,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.603849411010742 +1985,41,0,all,18-20 yrs,130,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,113.98509216308594 +1985,41,0,MVA,18-20 yrs,60,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,52.60850524902344 +1985,41,0,suicide,18-20 yrs,19,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.659358978271484 +1985,41,0,homicide,18-20 yrs,7,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,6.137659072875977 +1985,41,0,other external,18-20 yrs,26,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,22.79701805114746 +1985,41,0,internal,18-20 yrs,18,114050,19.014545440673828,0,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,15.782551765441895 +1985,41,0,all,21-24 yrs,180,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,107.88262176513672 +1985,41,0,MVA,21-24 yrs,78,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,46.74913787841797 +1985,41,0,suicide,21-24 yrs,28,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,16.781742095947266 +1985,41,0,homicide,21-24 yrs,16,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,9.589566230773926 +1985,41,0,other external,21-24 yrs,25,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,14.983697891235352 +1985,41,0,internal,21-24 yrs,33,166848,22.538904190063477,1,0.07794699817895889,1.25,0.550000011920929,0.7699999809265137,2.569999933242798,19.778480529785156 +1986,41,0,MVA,15-17 yrs,53,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,43.3183479309082 +1986,41,0,suicide,15-17 yrs,16,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,13.077237129211426 +1986,41,0,homicide,15-17 yrs,5,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,4.086636543273926 +1986,41,0,other external,15-17 yrs,23,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,18.79852867126465 +1986,41,0,internal,15-17 yrs,15,122350,15.988581657409668,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,12.259909629821777 +1986,41,0,all,18-20 yrs,126,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,112.91334533691406 +1986,41,0,MVA,18-20 yrs,61,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,54.664398193359375 +1986,41,0,suicide,18-20 yrs,22,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,19.715028762817383 +1986,41,0,homicide,18-20 yrs,12,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,10.75365161895752 +1986,41,0,other external,18-20 yrs,15,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,13.44206428527832 +1986,41,0,internal,18-20 yrs,16,111590,19.005924224853516,0,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,14.338202476501465 +1986,41,0,all,21-24 yrs,193,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,120.15115356445312 +1986,41,0,MVA,21-24 yrs,73,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,45.44577407836914 +1986,41,0,suicide,21-24 yrs,29,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,18.053800582885742 +1986,41,0,homicide,21-24 yrs,12,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,7.470538139343262 +1986,41,0,other external,21-24 yrs,40,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,24.90179443359375 +1986,41,0,internal,21-24 yrs,39,160631,22.552465438842773,1,0.07652460783720016,1.2599999904632568,0.5400000214576721,0.7300000190734863,2.5399999618530273,24.27924919128418 +1987,41,0,MVA,15-17 yrs,55,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,46.118499755859375 +1987,41,0,suicide,15-17 yrs,9,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,7.546663761138916 +1987,41,0,homicide,15-17 yrs,6,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,5.031108856201172 +1987,41,0,other external,15-17 yrs,13,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,10.900735855102539 +1987,41,0,internal,15-17 yrs,20,119258,16.033288955688477,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.770362854003906 +1987,41,0,all,18-20 yrs,146,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,130.1328887939453 +1987,41,0,MVA,18-20 yrs,81,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,72.19701385498047 +1987,41,0,suicide,18-20 yrs,20,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,17.82642364501953 +1987,41,0,homicide,18-20 yrs,3,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,2.6739635467529297 +1987,41,0,other external,18-20 yrs,23,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,20.50038719177246 +1987,41,0,internal,18-20 yrs,19,112193,18.987789154052734,0,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.935102462768555 +1987,41,0,all,21-24 yrs,171,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,110.83887481689453 +1987,41,0,MVA,21-24 yrs,79,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,51.20626449584961 +1987,41,0,suicide,21-24 yrs,29,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,18.7972354888916 +1987,41,0,homicide,21-24 yrs,16,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,10.370888710021973 +1987,41,0,other external,21-24 yrs,21,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,13.611791610717773 +1987,41,0,internal,21-24 yrs,26,154278,22.55484962463379,1,0.07383008301258087,1.2599999904632568,0.5299999713897705,0.7200000286102295,2.5,16.852693557739258 +1988,41,0,MVA,15-17 yrs,65,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,56.78740692138672 +1988,41,0,suicide,15-17 yrs,11,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,9.610176086425781 +1988,41,0,homicide,15-17 yrs,5,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,4.368261814117432 +1988,41,0,other external,15-17 yrs,20,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,17.473047256469727 +1988,41,0,internal,15-17 yrs,14,114462,16.05076789855957,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,12.231133460998535 +1988,41,0,all,18-20 yrs,145,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,124.95260620117188 +1988,41,0,MVA,18-20 yrs,85,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,73.248077392578125 +1988,41,0,suicide,18-20 yrs,24,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,20.68181037902832 +1988,41,0,homicide,18-20 yrs,3,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,2.58522629737854 +1988,41,0,other external,18-20 yrs,14,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,12.0643892288208 +1988,41,0,internal,18-20 yrs,19,116044,18.976551055908203,0,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,16.37310028076172 +1988,41,0,all,21-24 yrs,181,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,120.2082748413086 +1988,41,0,MVA,21-24 yrs,73,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,48.481788635253906 +1988,41,0,suicide,21-24 yrs,30,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,19.924022674560547 +1988,41,0,homicide,21-24 yrs,21,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,13.946816444396973 +1988,41,0,other external,21-24 yrs,21,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,13.946816444396973 +1988,41,0,internal,21-24 yrs,36,150572,22.539775848388672,1,0.07089684158563614,1.2699999809265137,0.5099999904632568,0.7099999785423279,2.4800000190734863,23.90882682800293 +1989,41,0,MVA,15-17 yrs,50,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,45.243953704833984 +1989,41,0,suicide,15-17 yrs,13,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,11.763428688049316 +1989,41,0,homicide,15-17 yrs,2,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,1.809758186340332 +1989,41,0,other external,15-17 yrs,7,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,6.334153652191162 +1989,41,0,internal,15-17 yrs,19,110512,16.021690368652344,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,17.192703247070312 +1989,41,0,all,18-20 yrs,128,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,106.91524505615234 +1989,41,0,MVA,18-20 yrs,56,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,46.775421142578125 +1989,41,0,suicide,18-20 yrs,20,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,16.705507278442383 +1989,41,0,homicide,18-20 yrs,5,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,4.176376819610596 +1989,41,0,other external,18-20 yrs,25,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,20.88188362121582 +1989,41,0,internal,18-20 yrs,22,119721,18.991788864135742,0,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,18.37605857849121 +1989,41,0,all,21-24 yrs,175,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,118.5781478881836 +1989,41,0,MVA,21-24 yrs,64,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,43.36572265625 +1989,41,0,suicide,21-24 yrs,40,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,27.10357666015625 +1989,41,0,homicide,21-24 yrs,15,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,10.163841247558594 +1989,41,0,other external,21-24 yrs,20,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,13.551788330078125 +1989,41,0,internal,21-24 yrs,36,147582,22.519832611083984,1,0.06763787567615509,1.2599999904632568,0.46000000834465027,0.6899999976158142,2.4100000858306885,24.393218994140625 +1990,41,0,MVA,15-17 yrs,50,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,44.000526428222656 +1990,41,0,suicide,15-17 yrs,16,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,14.080168724060059 +1990,41,0,homicide,15-17 yrs,4,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,3.5200421810150146 +1990,41,0,other external,15-17 yrs,11,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,9.680115699768066 +1990,41,0,internal,15-17 yrs,15,113635,15.984837532043457,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,13.20015811920166 +1990,41,0,all,18-20 yrs,128,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,107.18292999267578 +1990,41,0,MVA,18-20 yrs,61,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,51.07936477661133 +1990,41,0,suicide,18-20 yrs,20,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,16.747333526611328 +1990,41,0,homicide,18-20 yrs,12,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,10.048399925231934 +1990,41,0,other external,18-20 yrs,17,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,14.235233306884766 +1990,41,0,internal,18-20 yrs,18,119422,19.033126831054688,0,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,15.072599411010742 +1990,41,0,all,21-24 yrs,168,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,113.13207244873047 +1990,41,0,MVA,21-24 yrs,72,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,48.48517608642578 +1990,41,0,suicide,21-24 yrs,30,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,20.20215606689453 +1990,41,0,homicide,21-24 yrs,14,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,9.42767333984375 +1990,41,0,other external,21-24 yrs,29,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,19.528751373291016 +1990,41,0,internal,21-24 yrs,23,148499,22.492023468017578,1,0.06417059898376465,1.3200000524520874,0.4699999988079071,0.7300000190734863,2.509999990463257,15.488319396972656 +1991,41,0,MVA,15-17 yrs,24,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,20.57683753967285 +1991,41,0,suicide,15-17 yrs,15,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,12.860523223876953 +1991,41,0,homicide,15-17 yrs,6,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,5.144209384918213 +1991,41,0,other external,15-17 yrs,15,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,12.860523223876953 +1991,41,0,internal,15-17 yrs,19,116636,15.98852825164795,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,16.289997100830078 +1991,41,0,all,18-20 yrs,145,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,123.58621978759766 +1991,41,0,MVA,18-20 yrs,63,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,53.69607925415039 +1991,41,0,suicide,18-20 yrs,26,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.160287857055664 +1991,41,0,homicide,18-20 yrs,10,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,8.523187637329102 +1991,41,0,other external,18-20 yrs,20,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,17.046375274658203 +1991,41,0,internal,18-20 yrs,26,117327,19.037382125854492,0,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.160287857055664 +1991,41,0,all,21-24 yrs,172,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,112.63990020751953 +1991,41,0,MVA,21-24 yrs,62,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,40.602752685546875 +1991,41,0,suicide,21-24 yrs,30,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,19.646493911743164 +1991,41,0,homicide,21-24 yrs,13,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,8.513481140136719 +1991,41,0,other external,21-24 yrs,32,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,20.956260681152344 +1991,41,0,internal,21-24 yrs,35,152699,22.466768264770508,1,0.061579275876283646,1.2799999713897705,0.4399999976158142,0.6700000166893005,2.380000114440918,22.920909881591797 +1992,41,0,MVA,15-17 yrs,29,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,23.681201934814453 +1992,41,0,suicide,15-17 yrs,20,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,16.331863403320312 +1992,41,0,homicide,15-17 yrs,4,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,3.2663726806640625 +1992,41,0,other external,15-17 yrs,12,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,9.7991180419921875 +1992,41,0,internal,15-17 yrs,18,122460,15.985447883605957,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,14.698677062988281 +1992,41,0,all,18-20 yrs,105,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,91.33612060546875 +1992,41,0,MVA,18-20 yrs,35,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,30.445371627807617 +1992,41,0,suicide,18-20 yrs,20,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,17.397356033325195 +1992,41,0,homicide,18-20 yrs,12,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,10.438413619995117 +1992,41,0,other external,18-20 yrs,16,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,13.917884826660156 +1992,41,0,internal,18-20 yrs,22,114960,19.013492584228516,0,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,19.1370906829834 +1992,41,0,all,21-24 yrs,159,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,101.71768188476562 +1992,41,0,MVA,21-24 yrs,41,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,26.229087829589844 +1992,41,0,suicide,21-24 yrs,37,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,23.67015266418457 +1992,41,0,homicide,21-24 yrs,19,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,12.154943466186523 +1992,41,0,other external,21-24 yrs,33,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,21.111217498779297 +1992,41,0,internal,21-24 yrs,29,156315,22.46697998046875,1,0.059779733419418335,1.2899999618530273,0.46000000834465027,0.6700000166893005,2.4100000858306885,18.552282333374023 +1993,41,0,MVA,15-17 yrs,30,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,23.74413299560547 +1993,41,0,suicide,15-17 yrs,15,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,11.872066497802734 +1993,41,0,homicide,15-17 yrs,11,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,8.706182479858398 +1993,41,0,other external,15-17 yrs,12,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,9.497653007507324 +1993,41,0,internal,15-17 yrs,24,126347,15.989228248596191,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,18.99530601501465 +1993,41,0,all,18-20 yrs,103,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,87.15518951416016 +1993,41,0,MVA,18-20 yrs,45,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,38.07750701904297 +1993,41,0,suicide,18-20 yrs,10,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,8.461668968200684 +1993,41,0,homicide,18-20 yrs,11,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,9.307835578918457 +1993,41,0,other external,18-20 yrs,15,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,12.692502975463867 +1993,41,0,internal,18-20 yrs,22,118180,18.990962982177734,0,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,18.615671157836914 +1993,41,0,all,21-24 yrs,155,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,97.79673767089844 +1993,41,0,MVA,21-24 yrs,47,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,29.65449333190918 +1993,41,0,suicide,21-24 yrs,33,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,20.821239471435547 +1993,41,0,homicide,21-24 yrs,17,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,10.726093292236328 +1993,41,0,other external,21-24 yrs,24,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,15.142720222473145 +1993,41,0,internal,21-24 yrs,34,158492,22.510032653808594,1,0.058042194694280624,1.2400000095367432,0.4300000071525574,0.6399999856948853,2.309999942779541,21.452186584472656 +1994,41,0,MVA,15-17 yrs,30,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,22.77783203125 +1994,41,0,suicide,15-17 yrs,15,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,11.388916015625 +1994,41,0,homicide,15-17 yrs,6,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,4.555566310882568 +1994,41,0,other external,15-17 yrs,12,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,9.111132621765137 +1994,41,0,internal,15-17 yrs,15,131707,15.994852066040039,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,11.388916015625 +1994,41,0,all,18-20 yrs,112,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,92.0167236328125 +1994,41,0,MVA,18-20 yrs,38,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,31.219961166381836 +1994,41,0,suicide,18-20 yrs,24,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,19.717870712280273 +1994,41,0,homicide,18-20 yrs,19,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,15.609980583190918 +1994,41,0,other external,18-20 yrs,16,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,13.145246505737305 +1994,41,0,internal,18-20 yrs,15,121717,18.989648818969727,0,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,12.323668479919434 +1994,41,0,all,21-24 yrs,160,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,101.45524597167969 +1994,41,0,MVA,21-24 yrs,41,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,25.997907638549805 +1994,41,0,suicide,21-24 yrs,37,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,23.46152687072754 +1994,41,0,homicide,21-24 yrs,16,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,10.145524978637695 +1994,41,0,other external,21-24 yrs,31,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,19.656953811645508 +1994,41,0,internal,21-24 yrs,35,157705,22.539348602294922,1,0.05659309774637222,1.2300000190734863,0.3700000047683716,0.6200000047683716,2.2100000381469727,22.193336486816406 +1995,41,0,MVA,15-17 yrs,35,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,25.534212112426758 +1995,41,0,suicide,15-17 yrs,19,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,13.861429214477539 +1995,41,0,homicide,15-17 yrs,12,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,8.754587173461914 +1995,41,0,other external,15-17 yrs,22,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,16.05007553100586 +1995,41,0,internal,15-17 yrs,20,137071,15.981279373168945,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,14.590978622436523 +1995,41,0,all,18-20 yrs,139,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,109.03500366210938 +1995,41,0,MVA,18-20 yrs,54,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,42.35892105102539 +1995,41,0,suicide,18-20 yrs,26,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,20.395036697387695 +1995,41,0,homicide,18-20 yrs,12,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,9.413093566894531 +1995,41,0,other external,18-20 yrs,21,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,16.47291374206543 +1995,41,0,internal,18-20 yrs,26,127482,18.988908767700195,0,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,20.395036697387695 +1995,41,0,all,21-24 yrs,150,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,96.45806121826172 +1995,41,0,MVA,21-24 yrs,49,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,31.509632110595703 +1995,41,0,suicide,21-24 yrs,39,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,25.0790958404541 +1995,41,0,homicide,21-24 yrs,23,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,14.79023551940918 +1995,41,0,other external,21-24 yrs,18,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,11.574967384338379 +1995,41,0,internal,21-24 yrs,21,155508,22.528165817260742,1,0.05503344535827637,1.2100000381469727,0.41999998688697815,0.5899999737739563,2.2300000190734863,13.504128456115723 +1996,41,0,MVA,15-17 yrs,33,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.316940307617188 +1996,41,0,suicide,15-17 yrs,13,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,9.18546199798584 +1996,41,0,homicide,15-17 yrs,5,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,3.532869815826416 +1996,41,0,other external,15-17 yrs,12,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,8.478887557983398 +1996,41,0,internal,15-17 yrs,19,141528,15.994757652282715,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,13.424905776977539 +1996,41,0,all,18-20 yrs,137,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,103.87759399414062 +1996,41,0,MVA,18-20 yrs,57,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,43.21914291381836 +1996,41,0,suicide,18-20 yrs,21,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,15.922842025756836 +1996,41,0,homicide,18-20 yrs,14,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,10.615228652954102 +1996,41,0,other external,18-20 yrs,19,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,14.406381607055664 +1996,41,0,internal,18-20 yrs,26,131886,18.98978614807129,0,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,19.7139949798584 +1996,41,0,all,21-24 yrs,167,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,107.21967315673828 +1996,41,0,MVA,21-24 yrs,49,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,31.45966339111328 +1996,41,0,suicide,21-24 yrs,36,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.113222122192383 +1996,41,0,homicide,21-24 yrs,15,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,9.630509376525879 +1996,41,0,other external,21-24 yrs,31,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,19.903053283691406 +1996,41,0,internal,21-24 yrs,36,155755,22.480016708374023,1,0.05345505103468895,1.2300000190734863,0.4399999976158142,0.6100000143051147,2.2699999809265137,23.113222122192383 +1970,42,0,MVA,15-17 yrs,168,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,25.02591896057129 +1970,42,0,suicide,15-17 yrs,34,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,5.064769268035889 +1970,42,0,homicide,15-17 yrs,35,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,5.213733196258545 +1970,42,0,other external,15-17 yrs,94,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,14.00259780883789 +1970,42,0,internal,15-17 yrs,168,671304,15.986927032470703,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,25.02591896057129 +1970,42,0,all,18-20 yrs,678,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,115.32965850830078 +1970,42,0,MVA,18-20 yrs,260,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,44.22671127319336 +1970,42,0,suicide,18-20 yrs,44,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,7.484520435333252 +1970,42,0,homicide,18-20 yrs,59,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,10.036062240600586 +1970,42,0,other external,18-20 yrs,115,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,19.56181526184082 +1970,42,0,internal,18-20 yrs,200,587880,18.94813346862793,0,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,34.02054977416992 +1970,42,0,all,21-24 yrs,855,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,127.29199981689453 +1970,42,0,MVA,21-24 yrs,284,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,42.28178787231445 +1970,42,0,suicide,21-24 yrs,91,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,13.5480375289917 +1970,42,0,homicide,21-24 yrs,69,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,10.272687911987305 +1970,42,0,other external,21-24 yrs,124,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,18.461061477661133 +1970,42,0,internal,21-24 yrs,287,671684,22.420522689819336,1,0.20618556439876556,1.2599999904632568,0.1899999976158142,0.8199999928474426,2.2799999713897705,42.728424072265625 +1971,42,0,MVA,15-17 yrs,151,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,22.225820541381836 +1971,42,0,suicide,15-17 yrs,18,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,2.649435520172119 +1971,42,0,homicide,15-17 yrs,49,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,7.212352275848389 +1971,42,0,other external,15-17 yrs,106,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,15.6022310256958 +1971,42,0,internal,15-17 yrs,198,679390,15.988808631896973,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,29.14379119873047 +1971,42,0,all,18-20 yrs,667,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,108.22492980957031 +1971,42,0,MVA,18-20 yrs,252,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,40.888580322265625 +1971,42,0,suicide,18-20 yrs,43,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,6.977019786834717 +1971,42,0,homicide,18-20 yrs,63,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,10.222145080566406 +1971,42,0,other external,18-20 yrs,128,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,20.768802642822266 +1971,42,0,internal,18-20 yrs,181,616309,18.96628189086914,0,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,29.368385314941406 +1971,42,0,all,21-24 yrs,979,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,131.337646484375 +1971,42,0,MVA,21-24 yrs,328,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,44.0028076171875 +1971,42,0,suicide,21-24 yrs,85,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,11.403166770935059 +1971,42,0,homicide,21-24 yrs,105,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,14.086264610290527 +1971,42,0,other external,21-24 yrs,172,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,23.074642181396484 +1971,42,0,internal,21-24 yrs,289,745407,22.550127029418945,1,0.1975308656692505,1.2699999809265137,0.2199999988079071,0.8299999833106995,2.309999942779541,38.77076721191406 +1972,42,0,MVA,15-17 yrs,180,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,26.090965270996094 +1972,42,0,suicide,15-17 yrs,40,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,5.79799222946167 +1972,42,0,homicide,15-17 yrs,40,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,5.79799222946167 +1972,42,0,other external,15-17 yrs,100,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,14.494980812072754 +1972,42,0,internal,15-17 yrs,162,689894,15.979510307312012,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,23.481868743896484 +1972,42,0,all,18-20 yrs,682,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,107.87571716308594 +1972,42,0,MVA,18-20 yrs,252,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,39.86023712158203 +1972,42,0,suicide,18-20 yrs,66,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,10.43958568572998 +1972,42,0,homicide,18-20 yrs,44,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,6.959723949432373 +1972,42,0,other external,18-20 yrs,130,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,20.562820434570312 +1972,42,0,internal,18-20 yrs,190,632209,18.98011016845703,0,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,30.05335235595703 +1972,42,0,all,21-24 yrs,880,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,117.78752136230469 +1972,42,0,MVA,21-24 yrs,258,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,34.53316116333008 +1972,42,0,suicide,21-24 yrs,104,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,13.920343399047852 +1972,42,0,homicide,21-24 yrs,108,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,14.455740928649902 +1972,42,0,other external,21-24 yrs,148,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,19.80971908569336 +1972,42,0,internal,21-24 yrs,262,747108,22.501781463623047,1,0.19138756394386292,1.2699999809265137,0.20999999344348907,0.800000011920929,2.2699999809265137,35.06855773925781 +1973,42,0,MVA,15-17 yrs,212,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,30.391780853271484 +1973,42,0,suicide,15-17 yrs,27,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,3.8706514835357666 +1973,42,0,homicide,15-17 yrs,58,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,8.314732551574707 +1973,42,0,other external,15-17 yrs,104,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,14.909175872802734 +1973,42,0,internal,15-17 yrs,172,697557,15.983109474182129,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,24.65748405456543 +1973,42,0,all,18-20 yrs,726,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,113.64027404785156 +1973,42,0,MVA,18-20 yrs,286,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,44.76738357543945 +1973,42,0,suicide,18-20 yrs,66,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,10.330934524536133 +1973,42,0,homicide,18-20 yrs,68,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,10.64399242401123 +1973,42,0,other external,18-20 yrs,126,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,19.722692489624023 +1973,42,0,internal,18-20 yrs,180,638858,18.983999252319336,0,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,28.175275802612305 +1973,42,0,all,21-24 yrs,889,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,117.22015380859375 +1973,42,0,MVA,21-24 yrs,281,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,37.05158996582031 +1973,42,0,suicide,21-24 yrs,97,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,12.790050506591797 +1973,42,0,homicide,21-24 yrs,104,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,13.713044166564941 +1973,42,0,other external,21-24 yrs,156,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,20.56956672668457 +1973,42,0,internal,21-24 yrs,251,758402,22.487316131591797,1,0.18018017709255219,1.2899999618530273,0.20999999344348907,0.8100000023841858,2.309999942779541,33.09590530395508 +1974,42,0,MVA,15-17 yrs,203,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,28.971525192260742 +1974,42,0,suicide,15-17 yrs,20,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,2.854337453842163 +1974,42,0,homicide,15-17 yrs,69,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,9.847464561462402 +1974,42,0,other external,15-17 yrs,94,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,13.415386199951172 +1974,42,0,internal,15-17 yrs,165,700688,15.999727249145508,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,23.54828453063965 +1974,42,0,all,18-20 yrs,732,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,112.992431640625 +1974,42,0,MVA,18-20 yrs,289,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,44.61040115356445 +1974,42,0,suicide,18-20 yrs,59,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,9.10731315612793 +1974,42,0,homicide,18-20 yrs,86,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,13.275067329406738 +1974,42,0,other external,18-20 yrs,136,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,20.99312973022461 +1974,42,0,internal,18-20 yrs,162,647831,18.989845275878906,0,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,25.006521224975586 +1974,42,0,all,21-24 yrs,877,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,114.33965301513672 +1974,42,0,MVA,21-24 yrs,260,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,33.89773178100586 +1974,42,0,suicide,21-24 yrs,113,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,14.732475280761719 +1974,42,0,homicide,21-24 yrs,96,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,12.516084671020508 +1974,42,0,other external,21-24 yrs,153,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,19.947509765625 +1974,42,0,internal,21-24 yrs,255,767013,22.472028732299805,1,0.16227179765701294,1.2999999523162842,0.2199999988079071,0.8100000023841858,2.3299999237060547,33.245849609375 +1975,42,0,MVA,15-17 yrs,157,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,22.619871139526367 +1975,42,0,suicide,15-17 yrs,40,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,5.76302433013916 +1975,42,0,homicide,15-17 yrs,47,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,6.7715535163879395 +1975,42,0,other external,15-17 yrs,98,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,14.119409561157227 +1975,42,0,internal,15-17 yrs,165,694080,16.008426666259766,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,23.772476196289062 +1975,42,0,all,18-20 yrs,702,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,105.83350372314453 +1975,42,0,MVA,18-20 yrs,255,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,38.44379425048828 +1975,42,0,suicide,18-20 yrs,71,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,10.703958511352539 +1975,42,0,homicide,18-20 yrs,72,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,10.854718208312988 +1975,42,0,other external,18-20 yrs,128,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,19.297277450561523 +1975,42,0,internal,18-20 yrs,176,663306,18.980966567993164,0,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,26.533756256103516 +1975,42,0,all,21-24 yrs,902,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,114.81172943115234 +1975,42,0,MVA,21-24 yrs,273,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,34.74900436401367 +1975,42,0,suicide,21-24 yrs,134,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,17.05628776550293 +1975,42,0,homicide,21-24 yrs,88,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,11.201144218444824 +1975,42,0,other external,21-24 yrs,162,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,20.620288848876953 +1975,42,0,internal,21-24 yrs,245,785634,22.473485946655273,1,0.14869888126850128,1.3300000429153442,0.2199999988079071,0.800000011920929,2.3499999046325684,31.18500518798828 +1976,42,0,MVA,15-17 yrs,176,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,25.629487991333008 +1976,42,0,suicide,15-17 yrs,26,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,3.7861742973327637 +1976,42,0,homicide,15-17 yrs,45,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,6.552994251251221 +1976,42,0,other external,15-17 yrs,87,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,12.669121742248535 +1976,42,0,internal,15-17 yrs,129,686709,16.001062393188477,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.785249710083008 +1976,42,0,all,18-20 yrs,691,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,102.49822998046875 +1976,42,0,MVA,18-20 yrs,261,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,38.71495819091797 +1976,42,0,suicide,18-20 yrs,74,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,10.976655006408691 +1976,42,0,homicide,18-20 yrs,62,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,9.196657180786133 +1976,42,0,other external,18-20 yrs,124,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.393314361572266 +1976,42,0,internal,18-20 yrs,170,674158,18.984649658203125,0,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,25.21664047241211 +1976,42,0,all,21-24 yrs,883,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,110.77156066894531 +1976,42,0,MVA,21-24 yrs,291,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,36.50569152832031 +1976,42,0,suicide,21-24 yrs,116,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,14.552096366882324 +1976,42,0,homicide,21-24 yrs,102,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,12.795808792114258 +1976,42,0,other external,21-24 yrs,147,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,18.44101905822754 +1976,42,0,internal,21-24 yrs,227,797136,22.474496841430664,1,0.14059753715991974,1.3200000524520874,0.2199999988079071,0.7900000214576721,2.3399999141693115,28.476947784423828 +1977,42,0,MVA,15-17 yrs,174,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,25.78350830078125 +1977,42,0,suicide,15-17 yrs,36,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,5.334518909454346 +1977,42,0,homicide,15-17 yrs,33,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,4.889975547790527 +1977,42,0,other external,15-17 yrs,96,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,14.225383758544922 +1977,42,0,internal,15-17 yrs,117,674850,16.004150390625,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,17.337186813354492 +1977,42,0,all,18-20 yrs,704,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,103.48542785644531 +1977,42,0,MVA,18-20 yrs,286,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,42.04095458984375 +1977,42,0,suicide,18-20 yrs,91,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,13.376667976379395 +1977,42,0,homicide,18-20 yrs,49,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,7.202821254730225 +1977,42,0,other external,18-20 yrs,134,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,19.697511672973633 +1977,42,0,internal,18-20 yrs,144,680289,19.002521514892578,0,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,21.1674747467041 +1977,42,0,all,21-24 yrs,899,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,111.64927673339844 +1977,42,0,MVA,21-24 yrs,293,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,36.38847351074219 +1977,42,0,suicide,21-24 yrs,143,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,17.759563446044922 +1977,42,0,homicide,21-24 yrs,78,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,9.687034606933594 +1977,42,0,other external,21-24 yrs,178,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,22.10630989074707 +1977,42,0,internal,21-24 yrs,207,805200,22.47405433654785,1,0.132013201713562,1.350000023841858,0.20000000298023224,0.7400000095367432,2.2899999618530273,25.70789909362793 +1978,42,0,MVA,15-17 yrs,188,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,28.30455780029297 +1978,42,0,suicide,15-17 yrs,34,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,5.1189093589782715 +1978,42,0,homicide,15-17 yrs,45,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,6.775026798248291 +1978,42,0,other external,15-17 yrs,74,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,11.141155242919922 +1978,42,0,internal,15-17 yrs,142,664204,16.01622772216797,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,21.37897300720215 +1978,42,0,all,18-20 yrs,676,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,100.68093872070312 +1978,42,0,MVA,18-20 yrs,315,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,46.91493225097656 +1978,42,0,suicide,18-20 yrs,74,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,11.021286010742188 +1978,42,0,homicide,18-20 yrs,70,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,10.425540924072266 +1978,42,0,other external,18-20 yrs,89,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,13.255330085754395 +1978,42,0,internal,18-20 yrs,128,671428,19.010568618774414,0,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,19.063846588134766 +1978,42,0,all,21-24 yrs,904,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,110.57211303710938 +1978,42,0,MVA,21-24 yrs,291,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,35.59345626831055 +1978,42,0,suicide,21-24 yrs,134,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,16.390113830566406 +1978,42,0,homicide,21-24 yrs,87,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,10.641343116760254 +1978,42,0,other external,21-24 yrs,160,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,19.57028579711914 +1978,42,0,internal,21-24 yrs,232,817566,22.46339225769043,1,0.12269938737154007,1.3600000143051147,0.20999999344348907,0.7400000095367432,2.319999933242798,28.37691307067871 +1979,42,0,MVA,15-17 yrs,177,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,27.19692039489746 +1979,42,0,suicide,15-17 yrs,34,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,5.22426700592041 +1979,42,0,homicide,15-17 yrs,25,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,3.8413727283477783 +1979,42,0,other external,15-17 yrs,68,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,10.44853401184082 +1979,42,0,internal,15-17 yrs,111,650809,16.007219314575195,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,17.055694580078125 +1979,42,0,all,18-20 yrs,691,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,103.46603393554688 +1979,42,0,MVA,18-20 yrs,320,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,47.9148063659668 +1979,42,0,suicide,18-20 yrs,76,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,11.379766464233398 +1979,42,0,homicide,18-20 yrs,57,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,8.534825325012207 +1979,42,0,other external,18-20 yrs,100,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,14.973377227783203 +1979,42,0,internal,18-20 yrs,138,667852,19.003633499145508,0,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,20.66326141357422 +1979,42,0,all,21-24 yrs,930,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,112.00703430175781 +1979,42,0,MVA,21-24 yrs,349,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,42.032745361328125 +1979,42,0,suicide,21-24 yrs,134,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,16.138647079467773 +1979,42,0,homicide,21-24 yrs,93,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,11.200703620910645 +1979,42,0,other external,21-24 yrs,135,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,16.259084701538086 +1979,42,0,internal,21-24 yrs,219,830305,22.46209716796875,1,0.11019283533096313,1.4199999570846558,0.2199999988079071,0.7300000190734863,2.369999885559082,26.375850677490234 +1980,42,0,MVA,15-17 yrs,161,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,25.342517852783203 +1980,42,0,suicide,15-17 yrs,44,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,6.925905227661133 +1980,42,0,homicide,15-17 yrs,30,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,4.722208023071289 +1980,42,0,other external,15-17 yrs,57,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,8.972195625305176 +1980,42,0,internal,15-17 yrs,108,635296,16.01129913330078,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,16.999950408935547 +1980,42,0,all,18-20 yrs,697,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,105.41423797607422 +1980,42,0,MVA,18-20 yrs,309,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,46.7331428527832 +1980,42,0,suicide,18-20 yrs,82,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,12.4016752243042 +1980,42,0,homicide,18-20 yrs,69,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,10.435555458068848 +1980,42,0,other external,18-20 yrs,97,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,14.670273780822754 +1980,42,0,internal,18-20 yrs,140,661201,19.009387969970703,0,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,21.17359161376953 +1980,42,0,all,21-24 yrs,1014,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,120.36494445800781 +1980,42,0,MVA,21-24 yrs,359,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,42.614410400390625 +1980,42,0,suicide,21-24 yrs,139,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,16.499731063842773 +1980,42,0,homicide,21-24 yrs,132,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,15.668808937072754 +1980,42,0,other external,21-24 yrs,156,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,18.517683029174805 +1980,42,0,internal,21-24 yrs,228,842438,22.467500686645508,1,0.09708737581968307,1.4500000476837158,0.2199999988079071,0.7099999785423279,2.390000104904175,27.064306259155273 +1981,42,0,MVA,15-17 yrs,153,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,24.935867309570312 +1981,42,0,suicide,15-17 yrs,47,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,7.660037517547607 +1981,42,0,homicide,15-17 yrs,38,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,6.1932220458984375 +1981,42,0,other external,15-17 yrs,51,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,8.311955451965332 +1981,42,0,internal,15-17 yrs,109,613574,16.028011322021484,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,17.764768600463867 +1981,42,0,all,18-20 yrs,631,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,96.92765808105469 +1981,42,0,MVA,18-20 yrs,253,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,38.86322784423828 +1981,42,0,suicide,18-20 yrs,75,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,11.520719528198242 +1981,42,0,homicide,18-20 yrs,59,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,9.062966346740723 +1981,42,0,other external,18-20 yrs,83,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,12.74959659576416 +1981,42,0,internal,18-20 yrs,161,651001,19.024517059326172,0,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,24.731143951416016 +1981,42,0,all,21-24 yrs,844,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,99.10675048828125 +1981,42,0,MVA,21-24 yrs,281,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,32.99644088745117 +1981,42,0,suicide,21-24 yrs,112,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,13.151606559753418 +1981,42,0,homicide,21-24 yrs,110,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,12.916756629943848 +1981,42,0,other external,21-24 yrs,142,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,16.674358367919922 +1981,42,0,internal,21-24 yrs,199,851607,22.48700714111328,1,0.08800879865884781,1.4199999570846558,0.23000000417232513,0.7200000286102295,2.369999885559082,23.367586135864258 +1982,42,0,MVA,15-17 yrs,128,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,21.827396392822266 +1982,42,0,suicide,15-17 yrs,25,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,4.2631635665893555 +1982,42,0,homicide,15-17 yrs,19,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,3.240004062652588 +1982,42,0,other external,15-17 yrs,49,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,8.35580062866211 +1982,42,0,internal,15-17 yrs,92,586419,16.028074264526367,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,15.688441276550293 +1982,42,0,all,18-20 yrs,580,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,90.79808044433594 +1982,42,0,MVA,18-20 yrs,227,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,35.53649139404297 +1982,42,0,suicide,18-20 yrs,68,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,10.645292282104492 +1982,42,0,homicide,18-20 yrs,62,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,9.706002235412598 +1982,42,0,other external,18-20 yrs,95,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,14.872099876403809 +1982,42,0,internal,18-20 yrs,128,638780,19.0148868560791,0,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,20.038198471069336 +1982,42,0,all,21-24 yrs,835,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,97.90943145751953 +1982,42,0,MVA,21-24 yrs,272,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,31.893850326538086 +1982,42,0,suicide,21-24 yrs,143,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,16.767723083496094 +1982,42,0,homicide,21-24 yrs,99,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,11.608423233032227 +1982,42,0,other external,21-24 yrs,123,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,14.422586441040039 +1982,42,0,internal,21-24 yrs,198,852829,22.489656448364258,1,0.08290155231952667,1.440000057220459,0.23000000417232513,0.699999988079071,2.359999895095825,23.216846466064453 +1983,42,0,MVA,15-17 yrs,109,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,19.386808395385742 +1983,42,0,suicide,15-17 yrs,38,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,6.758703708648682 +1983,42,0,homicide,15-17 yrs,27,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,4.802236557006836 +1983,42,0,other external,15-17 yrs,40,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,7.114424705505371 +1983,42,0,internal,15-17 yrs,100,562238,16.021556854248047,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,17.786062240600586 +1983,42,0,all,18-20 yrs,529,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,84.4737548828125 +1983,42,0,MVA,18-20 yrs,223,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,35.609920501708984 +1983,42,0,suicide,18-20 yrs,62,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,9.90051555633545 +1983,42,0,homicide,18-20 yrs,52,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,8.303658485412598 +1983,42,0,other external,18-20 yrs,81,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,12.934544563293457 +1983,42,0,internal,18-20 yrs,111,626230,19.017898559570312,0,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,17.725116729736328 +1983,42,0,all,21-24 yrs,765,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,90.82209777832031 +1983,42,0,MVA,21-24 yrs,250,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,29.6804256439209 +1983,42,0,suicide,21-24 yrs,136,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,16.146150588989258 +1983,42,0,homicide,21-24 yrs,73,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,8.6666841506958 +1983,42,0,other external,21-24 yrs,116,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,13.771717071533203 +1983,42,0,internal,21-24 yrs,190,842306,22.498924255371094,1,0.0803212821483612,1.409999966621399,0.2199999988079071,0.6700000166893005,2.2899999618530273,22.5571231842041 +1984,42,0,MVA,15-17 yrs,118,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,21.53143310546875 +1984,42,0,suicide,15-17 yrs,35,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,6.386441707611084 +1984,42,0,homicide,15-17 yrs,10,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,1.8246976137161255 +1984,42,0,other external,15-17 yrs,48,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,8.758548736572266 +1984,42,0,internal,15-17 yrs,89,548036,16.011940002441406,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,16.239809036254883 +1984,42,0,all,18-20 yrs,482,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,79.03556823730469 +1984,42,0,MVA,18-20 yrs,195,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,31.974971771240234 +1984,42,0,suicide,18-20 yrs,69,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,11.314220428466797 +1984,42,0,homicide,18-20 yrs,47,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,7.706788063049316 +1984,42,0,other external,18-20 yrs,65,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,10.658323287963867 +1984,42,0,internal,18-20 yrs,106,609852,19.0355281829834,0,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,17.38126564025879 +1984,42,0,all,21-24 yrs,762,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,92.64066314697266 +1984,42,0,MVA,21-24 yrs,244,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,29.66446304321289 +1984,42,0,suicide,21-24 yrs,144,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,17.50689697265625 +1984,42,0,homicide,21-24 yrs,85,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,10.333931922912598 +1984,42,0,other external,21-24 yrs,115,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,13.981202125549316 +1984,42,0,internal,21-24 yrs,174,822533,22.503873825073242,1,0.07699710875749588,1.3700000047683716,0.20999999344348907,0.6600000262260437,2.25,21.15416717529297 +1985,42,0,MVA,15-17 yrs,111,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,20.57140350341797 +1985,42,0,suicide,15-17 yrs,42,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,7.783774375915527 +1985,42,0,homicide,15-17 yrs,12,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,2.22393536567688 +1985,42,0,other external,15-17 yrs,35,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,6.486478328704834 +1985,42,0,internal,15-17 yrs,86,539584,16.00107765197754,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,15.938203811645508 +1985,42,0,all,18-20 yrs,444,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,76.00397491455078 +1985,42,0,MVA,18-20 yrs,183,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,31.32596206665039 +1985,42,0,suicide,18-20 yrs,68,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,11.64024829864502 +1985,42,0,homicide,18-20 yrs,37,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,6.333664417266846 +1985,42,0,other external,18-20 yrs,57,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,9.757266998291016 +1985,42,0,internal,18-20 yrs,99,584180,19.034353256225586,0,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,16.94683074951172 +1985,42,0,all,21-24 yrs,733,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,91.36768341064453 +1985,42,0,MVA,21-24 yrs,269,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,33.53057098388672 +1985,42,0,suicide,21-24 yrs,121,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,15.082524299621582 +1985,42,0,homicide,21-24 yrs,47,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,5.858500957489014 +1985,42,0,other external,21-24 yrs,112,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,13.96068286895752 +1985,42,0,internal,21-24 yrs,184,802253,22.50407600402832,1,0.07434944063425064,1.3700000047683716,0.20999999344348907,0.6499999761581421,2.2200000286102295,22.935407638549805 +1986,42,0,MVA,15-17 yrs,141,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,25.97914695739746 +1986,42,0,suicide,15-17 yrs,45,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,8.291216850280762 +1986,42,0,homicide,15-17 yrs,22,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,4.053483963012695 +1986,42,0,other external,15-17 yrs,41,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,7.554219722747803 +1986,42,0,internal,15-17 yrs,101,542743,15.995447158813477,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,18.609176635742188 +1986,42,0,all,18-20 yrs,497,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,88.2142562866211 +1986,42,0,MVA,18-20 yrs,220,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,39.04856491088867 +1986,42,0,suicide,18-20 yrs,63,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,11.182088851928711 +1986,42,0,homicide,18-20 yrs,50,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,8.874673843383789 +1986,42,0,other external,18-20 yrs,57,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,10.117128372192383 +1986,42,0,internal,18-20 yrs,107,563401,19.027565002441406,0,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,18.991802215576172 +1986,42,0,all,21-24 yrs,772,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,99.30448150634766 +1986,42,0,MVA,21-24 yrs,287,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,36.917598724365234 +1986,42,0,suicide,21-24 yrs,108,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,13.89233684539795 +1986,42,0,homicide,21-24 yrs,73,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,9.390191078186035 +1986,42,0,other external,21-24 yrs,105,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,13.506438255310059 +1986,42,0,internal,21-24 yrs,199,777407,22.497140884399414,1,0.07299269735813141,1.3799999952316284,0.20999999344348907,0.6399999856948853,2.2300000190734863,25.597917556762695 +1987,42,0,MVA,15-17 yrs,114,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,21.538654327392578 +1987,42,0,suicide,15-17 yrs,52,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,9.8246488571167 +1987,42,0,homicide,15-17 yrs,19,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,3.589775562286377 +1987,42,0,other external,15-17 yrs,18,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,3.4008400440216064 +1987,42,0,internal,15-17 yrs,84,529281,16.028553009033203,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,15.870586395263672 +1987,42,0,all,18-20 yrs,505,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,91.00591278076172 +1987,42,0,MVA,18-20 yrs,215,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,38.74509048461914 +1987,42,0,suicide,18-20 yrs,72,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,12.97510051727295 +1987,42,0,homicide,18-20 yrs,50,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,9.010486602783203 +1987,42,0,other external,18-20 yrs,62,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,11.173003196716309 +1987,42,0,internal,18-20 yrs,106,554909,19.018165588378906,0,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,19.102231979370117 +1987,42,0,all,21-24 yrs,798,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,106.2770004272461 +1987,42,0,MVA,21-24 yrs,275,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,36.6242790222168 +1987,42,0,suicide,21-24 yrs,117,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,15.581966400146484 +1987,42,0,homicide,21-24 yrs,89,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,11.852949142456055 +1987,42,0,other external,21-24 yrs,102,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,13.584278106689453 +1987,42,0,internal,21-24 yrs,215,750868,22.502931594848633,1,0.07042253762483597,1.3799999952316284,0.20000000298023224,0.6100000143051147,2.200000047683716,28.633527755737305 +1988,42,0,MVA,15-17 yrs,114,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,22.582216262817383 +1988,42,0,suicide,15-17 yrs,40,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,7.923584938049316 +1988,42,0,homicide,15-17 yrs,33,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,6.536957740783691 +1988,42,0,other external,15-17 yrs,47,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,9.310212135314941 +1988,42,0,internal,15-17 yrs,68,504822,16.05953025817871,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,13.470094680786133 +1988,42,0,all,18-20 yrs,494,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,89.21427917480469 +1988,42,0,MVA,18-20 yrs,212,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,38.286293029785156 +1988,42,0,suicide,18-20 yrs,57,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,10.29395580291748 +1988,42,0,homicide,18-20 yrs,61,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,11.016338348388672 +1988,42,0,other external,18-20 yrs,60,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,10.835742950439453 +1988,42,0,internal,18-20 yrs,104,553723,19.00836181640625,0,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,18.781953811645508 +1988,42,0,all,21-24 yrs,774,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,106.49744415283203 +1988,42,0,MVA,21-24 yrs,260,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,35.77433395385742 +1988,42,0,suicide,21-24 yrs,135,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,18.575136184692383 +1988,42,0,homicide,21-24 yrs,85,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,11.695455551147461 +1988,42,0,other external,21-24 yrs,89,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,12.245830535888672 +1988,42,0,internal,21-24 yrs,205,726778,22.50952911376953,1,0.06762468069791794,1.3899999856948853,0.1899999976158142,0.5299999713897705,2.109999895095825,28.206687927246094 +1989,42,0,MVA,15-17 yrs,100,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,21.24549674987793 +1989,42,0,suicide,15-17 yrs,35,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,7.4359235763549805 +1989,42,0,homicide,15-17 yrs,31,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,6.586103916168213 +1989,42,0,other external,15-17 yrs,42,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,8.923108100891113 +1989,42,0,internal,15-17 yrs,74,470688,16.04191017150879,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.721667289733887 +1989,42,0,all,18-20 yrs,510,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,91.1459732055664 +1989,42,0,MVA,18-20 yrs,197,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,35.207366943359375 +1989,42,0,suicide,18-20 yrs,76,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,13.582536697387695 +1989,42,0,homicide,18-20 yrs,89,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.905865669250488 +1989,42,0,other external,18-20 yrs,53,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,9.47203254699707 +1989,42,0,internal,18-20 yrs,95,559542,19.00397491455078,0,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,16.978172302246094 +1989,42,0,all,21-24 yrs,739,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,106.33919525146484 +1989,42,0,MVA,21-24 yrs,255,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,36.69349670410156 +1989,42,0,suicide,21-24 yrs,105,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.109087944030762 +1989,42,0,homicide,21-24 yrs,109,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,15.684672355651855 +1989,42,0,other external,21-24 yrs,85,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,12.231165885925293 +1989,42,0,internal,21-24 yrs,185,694946,22.4996280670166,1,0.06451612710952759,1.3600000143051147,0.18000000715255737,0.5600000023841858,2.0999999046325684,26.620773315429688 +1990,42,0,MVA,15-17 yrs,95,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,20.986080169677734 +1990,42,0,suicide,15-17 yrs,35,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,7.731713771820068 +1990,42,0,homicide,15-17 yrs,43,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,9.49896240234375 +1990,42,0,other external,15-17 yrs,21,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,4.639028549194336 +1990,42,0,internal,15-17 yrs,59,452681,16.018842697143555,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,13.03346061706543 +1990,42,0,all,18-20 yrs,451,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,81.72303009033203 +1990,42,0,MVA,18-20 yrs,159,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,28.811447143554688 +1990,42,0,suicide,18-20 yrs,79,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,14.315120697021484 +1990,42,0,homicide,18-20 yrs,70,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,12.684284210205078 +1990,42,0,other external,18-20 yrs,47,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,8.51659107208252 +1990,42,0,internal,18-20 yrs,96,551864,19.039936065673828,0,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,17.39558982849121 +1990,42,0,all,21-24 yrs,663,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,97.61756896972656 +1990,42,0,MVA,21-24 yrs,199,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,29.29999542236328 +1990,42,0,suicide,21-24 yrs,103,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,15.165324211120605 +1990,42,0,homicide,21-24 yrs,122,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,17.962810516357422 +1990,42,0,other external,21-24 yrs,68,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,10.01205825805664 +1990,42,0,internal,21-24 yrs,171,679181,22.473045349121094,1,0.061208873987197876,1.4199999570846558,0.18000000715255737,0.550000011920929,2.1500000953674316,25.177383422851562 +1991,42,0,MVA,15-17 yrs,92,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,20.56702423095703 +1991,42,0,suicide,15-17 yrs,18,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,4.023983001708984 +1991,42,0,homicide,15-17 yrs,31,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,6.930192947387695 +1991,42,0,other external,15-17 yrs,31,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,6.930192947387695 +1991,42,0,internal,15-17 yrs,64,447318,16.01422882080078,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.3074951171875 +1991,42,0,all,18-20 yrs,453,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,87.40938568115234 +1991,42,0,MVA,18-20 yrs,184,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,35.504032135009766 +1991,42,0,suicide,18-20 yrs,50,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,9.647834777832031 +1991,42,0,homicide,18-20 yrs,77,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.857665061950684 +1991,42,0,other external,18-20 yrs,40,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,7.718267917633057 +1991,42,0,internal,18-20 yrs,102,518251,19.071346282958984,0,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,19.681583404541016 +1991,42,0,all,21-24 yrs,689,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,100.11726379394531 +1991,42,0,MVA,21-24 yrs,221,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,32.11308288574219 +1991,42,0,suicide,21-24 yrs,115,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,16.71042823791504 +1991,42,0,homicide,21-24 yrs,100,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,14.530807495117188 +1991,42,0,other external,21-24 yrs,80,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,11.624646186828613 +1991,42,0,internal,21-24 yrs,173,688193,22.45252227783203,1,0.05873715132474899,1.3600000143051147,0.17000000178813934,0.5199999809265137,2.049999952316284,25.138296127319336 +1992,42,0,MVA,15-17 yrs,90,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,19.845075607299805 +1992,42,0,suicide,15-17 yrs,35,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,7.717529773712158 +1992,42,0,homicide,15-17 yrs,49,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,10.80454158782959 +1992,42,0,other external,15-17 yrs,23,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,5.071519374847412 +1992,42,0,internal,15-17 yrs,77,453513,16.003036499023438,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,16.978565216064453 +1992,42,0,all,18-20 yrs,418,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,87.3043212890625 +1992,42,0,MVA,18-20 yrs,122,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,25.481164932250977 +1992,42,0,suicide,18-20 yrs,71,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,14.829202651977539 +1992,42,0,homicide,18-20 yrs,89,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,18.58871841430664 +1992,42,0,other external,18-20 yrs,43,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,8.981066703796387 +1992,42,0,internal,18-20 yrs,93,478785,19.050443649291992,0,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,19.42416763305664 +1992,42,0,all,21-24 yrs,674,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,96.58941650390625 +1992,42,0,MVA,21-24 yrs,187,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,26.798547744750977 +1992,42,0,suicide,21-24 yrs,105,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,15.04731273651123 +1992,42,0,homicide,21-24 yrs,116,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,16.62369728088379 +1992,42,0,other external,21-24 yrs,78,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,11.178004264831543 +1992,42,0,internal,21-24 yrs,188,697799,22.456432342529297,1,0.05702066794037819,1.2999999523162842,0.18000000715255737,0.5099999904632568,1.9900000095367432,26.941856384277344 +1993,42,0,MVA,15-17 yrs,61,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,13.29416275024414 +1993,42,0,suicide,15-17 yrs,37,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,8.063672065734863 +1993,42,0,homicide,15-17 yrs,57,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.422414779663086 +1993,42,0,other external,15-17 yrs,28,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,6.102238655090332 +1993,42,0,internal,15-17 yrs,70,458848,15.992498397827148,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,15.255596160888672 +1993,42,0,all,18-20 yrs,429,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,93.35747528076172 +1993,42,0,MVA,18-20 yrs,120,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,26.11397933959961 +1993,42,0,suicide,18-20 yrs,56,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.1865234375 +1993,42,0,homicide,18-20 yrs,114,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,24.808279037475586 +1993,42,0,other external,18-20 yrs,42,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,9.139892578125 +1993,42,0,internal,18-20 yrs,97,459524,19.01413345336914,0,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,21.10879898071289 +1993,42,0,all,21-24 yrs,705,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,102.24059295654297 +1993,42,0,MVA,21-24 yrs,184,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,26.68406867980957 +1993,42,0,suicide,21-24 yrs,109,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,15.80741024017334 +1993,42,0,homicide,21-24 yrs,150,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,21.75331687927246 +1993,42,0,other external,21-24 yrs,88,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,12.761945724487305 +1993,42,0,internal,21-24 yrs,174,689550,22.510284423828125,1,0.05536331981420517,1.309999942779541,0.17000000178813934,0.47999998927116394,1.9600000381469727,25.233848571777344 +1994,42,0,MVA,15-17 yrs,86,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,18.273611068725586 +1994,42,0,suicide,15-17 yrs,31,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,6.586999416351318 +1994,42,0,homicide,15-17 yrs,44,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,9.349289894104004 +1994,42,0,other external,15-17 yrs,40,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,8.499354362487793 +1994,42,0,internal,15-17 yrs,67,470624,15.995162010192871,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,14.236417770385742 +1994,42,0,all,18-20 yrs,378,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,83.5379409790039 +1994,42,0,MVA,18-20 yrs,95,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,20.994985580444336 +1994,42,0,suicide,18-20 yrs,58,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,12.817991256713867 +1994,42,0,homicide,18-20 yrs,75,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,16.574989318847656 +1994,42,0,other external,18-20 yrs,47,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,10.386992454528809 +1994,42,0,internal,18-20 yrs,103,452489,19.00953483581543,0,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,22.762985229492188 +1994,42,0,all,21-24 yrs,631,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,95.688262939453125 +1994,42,0,MVA,21-24 yrs,141,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,21.38200569152832 +1994,42,0,suicide,21-24 yrs,115,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,17.439224243164062 +1994,42,0,homicide,21-24 yrs,111,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,16.832643508911133 +1994,42,0,other external,21-24 yrs,90,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,13.648088455200195 +1994,42,0,internal,21-24 yrs,174,659433,22.5662784576416,1,0.05398110672831535,1.2799999713897705,0.18000000715255737,0.4699999988079071,1.9299999475479126,26.38630485534668 +1995,42,0,MVA,15-17 yrs,90,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,18.68254852294922 +1995,42,0,suicide,15-17 yrs,33,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,6.8502678871154785 +1995,42,0,homicide,15-17 yrs,42,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,8.718522071838379 +1995,42,0,other external,15-17 yrs,33,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,6.8502678871154785 +1995,42,0,internal,15-17 yrs,66,481733,15.98354721069336,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,13.700535774230957 +1995,42,0,all,18-20 yrs,422,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,92.6470718383789 +1995,42,0,MVA,18-20 yrs,119,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,26.12559700012207 +1995,42,0,suicide,18-20 yrs,54,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,11.85531234741211 +1995,42,0,homicide,18-20 yrs,90,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,19.758853912353516 +1995,42,0,other external,18-20 yrs,49,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,10.757597923278809 +1995,42,0,internal,18-20 yrs,110,455492,19.00039291381836,0,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,24.149709701538086 +1995,42,0,all,21-24 yrs,612,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,98.79731750488281 +1995,42,0,MVA,21-24 yrs,158,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,25.506498336791992 +1995,42,0,suicide,21-24 yrs,105,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,16.95052146911621 +1995,42,0,homicide,21-24 yrs,116,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,18.726289749145508 +1995,42,0,other external,21-24 yrs,75,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,12.107514381408691 +1995,42,0,internal,21-24 yrs,158,619450,22.57814598083496,1,0.05249343812465668,1.2300000190734863,0.18000000715255737,0.44999998807907104,1.8600000143051147,25.506498336791992 +1996,42,0,MVA,15-17 yrs,84,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,17.165311813354492 +1996,42,0,suicide,15-17 yrs,48,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.80875015258789 +1996,42,0,homicide,15-17 yrs,45,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.19570255279541 +1996,42,0,other external,15-17 yrs,37,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,7.560911178588867 +1996,42,0,internal,15-17 yrs,61,489359,15.997049331665039,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,12.465286254882812 +1996,42,0,all,18-20 yrs,446,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,97.46929168701172 +1996,42,0,MVA,18-20 yrs,120,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,26.22492218017578 +1996,42,0,suicide,18-20 yrs,77,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,16.82765769958496 +1996,42,0,homicide,18-20 yrs,109,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,23.82097053527832 +1996,42,0,other external,18-20 yrs,42,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,9.178722381591797 +1996,42,0,internal,18-20 yrs,98,457580,18.991586685180664,0,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,21.417020797729492 +1996,42,0,all,21-24 yrs,542,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,93.15291595458984 +1996,42,0,MVA,21-24 yrs,145,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,24.920982360839844 +1996,42,0,suicide,21-24 yrs,92,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,15.811934471130371 +1996,42,0,homicide,21-24 yrs,102,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,17.530622482299805 +1996,42,0,other external,21-24 yrs,79,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,13.57763957977295 +1996,42,0,internal,21-24 yrs,124,581839,22.52828025817871,1,0.05098789185285568,1.2200000286102295,0.1899999976158142,0.44999998807907104,1.8600000143051147,21.311737060546875 +1970,44,0,MVA,15-17 yrs,7,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,13.994961738586426 +1970,44,0,suicide,15-17 yrs,1,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,1.9992802143096924 +1970,44,0,homicide,15-17 yrs,0,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,0 +1970,44,0,other external,15-17 yrs,11,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,21.992082595825195 +1970,44,0,internal,15-17 yrs,10,50018,15.9767484664917,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,19.992801666259766 +1970,44,0,all,18-20 yrs,49,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,87.46095275878906 +1970,44,0,MVA,18-20 yrs,16,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,28.558679580688477 +1970,44,0,suicide,18-20 yrs,5,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,8.92458724975586 +1970,44,0,homicide,18-20 yrs,3,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,5.354752540588379 +1970,44,0,other external,18-20 yrs,8,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,14.279339790344238 +1970,44,0,internal,18-20 yrs,17,56025,19.041677474975586,0,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,30.343597412109375 +1970,44,0,all,21-24 yrs,50,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,73.34819793701172 +1970,44,0,MVA,21-24 yrs,16,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,23.471424102783203 +1970,44,0,suicide,21-24 yrs,5,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,7.334819793701172 +1970,44,0,homicide,21-24 yrs,4,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,5.867856025695801 +1970,44,0,other external,21-24 yrs,7,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,10.268747329711914 +1970,44,0,internal,21-24 yrs,18,68168,22.33760643005371,1,0.166278675198555,1.2799999713897705,0.3799999952316284,1.1699999570846558,2.8299999237060547,26.405351638793945 +1971,44,0,MVA,15-17 yrs,10,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,19.21857261657715 +1971,44,0,suicide,15-17 yrs,0,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,0 +1971,44,0,homicide,15-17 yrs,2,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,3.843714475631714 +1971,44,0,other external,15-17 yrs,5,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,9.609286308288574 +1971,44,0,internal,15-17 yrs,14,52033,15.991178512573242,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,26.906002044677734 +1971,44,0,all,18-20 yrs,63,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,112.22744750976562 +1971,44,0,MVA,18-20 yrs,27,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,48.097476959228516 +1971,44,0,suicide,18-20 yrs,5,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,8.906940460205078 +1971,44,0,homicide,18-20 yrs,2,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,3.5627760887145996 +1971,44,0,other external,18-20 yrs,8,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,14.251104354858398 +1971,44,0,internal,18-20 yrs,21,56136,19.039316177368164,0,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,37.409149169921875 +1971,44,0,all,21-24 yrs,66,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,89.44664764404297 +1971,44,0,MVA,21-24 yrs,22,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,29.815549850463867 +1971,44,0,suicide,21-24 yrs,8,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,10.842018127441406 +1971,44,0,homicide,21-24 yrs,9,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,12.197270393371582 +1971,44,0,other external,21-24 yrs,6,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,8.131513595581055 +1971,44,0,internal,21-24 yrs,21,73787,22.478309631347656,1,0.1592990756034851,1.2799999713897705,0.44999998807907104,1.1799999475479126,2.9100000858306885,28.460298538208008 +1972,44,0.8383561372756958,MVA,15-17 yrs,16,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,29.748071670532227 +1972,44,0.8383561372756958,suicide,15-17 yrs,2,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,3.7185089588165283 +1972,44,0.8383561372756958,homicide,15-17 yrs,0,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,0 +1972,44,0.8383561372756958,other external,15-17 yrs,14,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,26.02956199645996 +1972,44,0.8383561372756958,internal,15-17 yrs,20,53785,15.991968154907227,0,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,37.185089111328125 +1972,44,0.8383561372756958,all,18-20 yrs,54,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,94.02259826660156 +1972,44,0.8383561372756958,MVA,18-20 yrs,18,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,31.340866088867188 +1972,44,0.8383561372756958,suicide,18-20 yrs,6,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,10.446955680847168 +1972,44,0.8383561372756958,homicide,18-20 yrs,2,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,3.482318639755249 +1972,44,0.8383561372756958,other external,18-20 yrs,10,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,17.411592483520508 +1972,44,0.8383561372756958,internal,18-20 yrs,18,57433,19.02019691467285,0.8383561372756958,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,31.340866088867188 +1972,44,0.8383561372756958,all,21-24 yrs,46,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,62.86729431152344 +1972,44,0.8383561372756958,MVA,21-24 yrs,12,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,16.400163650512695 +1972,44,0.8383561372756958,suicide,21-24 yrs,6,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,8.200081825256348 +1972,44,0.8383561372756958,homicide,21-24 yrs,2,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,2.733360767364502 +1972,44,0.8383561372756958,other external,21-24 yrs,8,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,10.933443069458008 +1972,44,0.8383561372756958,internal,21-24 yrs,18,73170,22.468360900878906,1,0.15434479713439941,1.350000023841858,0.41999998688697815,1.159999966621399,2.930000066757202,24.60024642944336 +1973,44,1,MVA,15-17 yrs,10,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,18.382015228271484 +1973,44,1,suicide,15-17 yrs,1,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,1.8382015228271484 +1973,44,1,homicide,15-17 yrs,1,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,1.8382015228271484 +1973,44,1,other external,15-17 yrs,10,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,18.382015228271484 +1973,44,1,internal,15-17 yrs,15,54401,15.988988876342773,0,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.573022842407227 +1973,44,1,all,18-20 yrs,57,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,96.28540802001953 +1973,44,1,MVA,18-20 yrs,25,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,42.23044204711914 +1973,44,1,suicide,18-20 yrs,5,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,8.446088790893555 +1973,44,1,homicide,18-20 yrs,2,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,3.3784353733062744 +1973,44,1,other external,18-20 yrs,16,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.027482986450195 +1973,44,1,internal,18-20 yrs,9,59199,19.003311157226562,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,15.202959060668945 +1973,44,1,all,21-24 yrs,67,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,92.35137939453125 +1973,44,1,MVA,21-24 yrs,17,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,23.432437896728516 +1973,44,1,suicide,21-24 yrs,11,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,15.162166595458984 +1973,44,1,homicide,21-24 yrs,5,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,6.8918938636779785 +1973,44,1,other external,21-24 yrs,20,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,27.567575454711914 +1973,44,1,internal,21-24 yrs,14,72549,22.476051330566406,1,0.14530658721923828,1.3200000524520874,0.41999998688697815,1.190000057220459,2.930000066757202,19.29730224609375 +1974,44,1,MVA,15-17 yrs,13,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,24.086116790771484 +1974,44,1,suicide,15-17 yrs,1,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,1.8527781963348389 +1974,44,1,homicide,15-17 yrs,2,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,3.7055563926696777 +1974,44,1,other external,15-17 yrs,7,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,12.96944808959961 +1974,44,1,internal,15-17 yrs,9,53973,15.99699878692627,0,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.675004959106445 +1974,44,1,all,18-20 yrs,48,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,86.4568862915039 +1974,44,1,MVA,18-20 yrs,19,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,34.22251892089844 +1974,44,1,suicide,18-20 yrs,6,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,10.807110786437988 +1974,44,1,homicide,18-20 yrs,3,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,5.403555393218994 +1974,44,1,other external,18-20 yrs,11,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,19.813037872314453 +1974,44,1,internal,18-20 yrs,9,55519,19.000810623168945,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.21066665649414 +1974,44,1,all,21-24 yrs,59,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,89.885589599609375 +1974,44,1,MVA,21-24 yrs,13,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,19.8052978515625 +1974,44,1,suicide,21-24 yrs,8,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,12.187875747680664 +1974,44,1,homicide,21-24 yrs,7,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,10.66439151763916 +1974,44,1,other external,21-24 yrs,11,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,16.758329391479492 +1974,44,1,internal,21-24 yrs,20,65639,22.484878540039062,1,0.13086435198783875,1.3700000047683716,0.4300000071525574,1.25,3.059999942779541,30.469690322875977 +1975,44,1,MVA,15-17 yrs,19,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,35.75864791870117 +1975,44,1,suicide,15-17 yrs,8,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,15.056272506713867 +1975,44,1,homicide,15-17 yrs,4,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,7.528136253356934 +1975,44,1,other external,15-17 yrs,6,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,11.292204856872559 +1975,44,1,internal,15-17 yrs,12,53134,16.002107620239258,0,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,22.584409713745117 +1975,44,1,all,18-20 yrs,48,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,85.576751708984375 +1975,44,1,MVA,18-20 yrs,18,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,32.09128189086914 +1975,44,1,suicide,18-20 yrs,5,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,8.914244651794434 +1975,44,1,homicide,18-20 yrs,2,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,3.5656979084014893 +1975,44,1,other external,18-20 yrs,9,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,16.04564094543457 +1975,44,1,internal,18-20 yrs,14,56090,19,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,24.95988655090332 +1975,44,1,all,21-24 yrs,57,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,88.180694580078125 +1975,44,1,MVA,21-24 yrs,16,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,24.75247573852539 +1975,44,1,suicide,21-24 yrs,6,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,9.282177925109863 +1975,44,1,homicide,21-24 yrs,6,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,9.282177925109863 +1975,44,1,other external,21-24 yrs,12,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,18.564355850219727 +1975,44,1,internal,21-24 yrs,17,64640,22.466739654541016,1,0.11991845071315765,1.409999966621399,0.46000000834465027,1.2599999904632568,3.119999885559082,26.29950523376465 +1976,44,1,MVA,15-17 yrs,7,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,13.156905174255371 +1976,44,1,suicide,15-17 yrs,2,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,3.7591159343719482 +1976,44,1,homicide,15-17 yrs,1,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,1.8795579671859741 +1976,44,1,other external,15-17 yrs,5,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,9.39778995513916 +1976,44,1,internal,15-17 yrs,8,53204,15.989042282104492,0,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,15.036463737487793 +1976,44,1,all,18-20 yrs,51,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,88.24903869628906 +1976,44,1,MVA,18-20 yrs,25,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,43.25933074951172 +1976,44,1,suicide,18-20 yrs,7,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,12.1126127243042 +1976,44,1,homicide,18-20 yrs,6,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,10.38223934173584 +1976,44,1,other external,18-20 yrs,3,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,5.19111967086792 +1976,44,1,internal,18-20 yrs,10,57791,18.99896240234375,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,17.30373191833496 +1976,44,1,all,21-24 yrs,53,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,80.19488525390625 +1976,44,1,MVA,21-24 yrs,14,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,21.183555603027344 +1976,44,1,suicide,21-24 yrs,14,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,21.183555603027344 +1976,44,1,homicide,21-24 yrs,4,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,6.0524444580078125 +1976,44,1,other external,21-24 yrs,6,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,9.078666687011719 +1976,44,1,internal,21-24 yrs,15,66089,22.439952850341797,1,0.11338510364294052,1.3799999952316284,0.4699999988079071,1.2100000381469727,3.069999933242798,22.696666717529297 +1977,44,1,MVA,15-17 yrs,13,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,24.46183967590332 +1977,44,1,suicide,15-17 yrs,4,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,7.52672004699707 +1977,44,1,homicide,15-17 yrs,3,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.645040035247803 +1977,44,1,other external,15-17 yrs,3,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.645040035247803 +1977,44,1,internal,15-17 yrs,8,53144,15.992548942565918,0,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,15.05344009399414 +1977,44,1,all,18-20 yrs,52,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,88.18341827392578 +1977,44,1,MVA,18-20 yrs,20,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,33.91670227050781 +1977,44,1,suicide,18-20 yrs,13,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,22.045854568481445 +1977,44,1,homicide,18-20 yrs,1,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,1.695834994316101 +1977,44,1,other external,18-20 yrs,13,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,22.045854568481445 +1977,44,1,internal,18-20 yrs,5,58968,19.014856338500977,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,8.479175567626953 +1977,44,1,all,21-24 yrs,69,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,102.4848861694336 +1977,44,1,MVA,21-24 yrs,20,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,29.705764770507812 +1977,44,1,suicide,21-24 yrs,12,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,17.823457717895508 +1977,44,1,homicide,21-24 yrs,4,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,5.941153049468994 +1977,44,1,other external,21-24 yrs,14,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,20.794034957885742 +1977,44,1,internal,21-24 yrs,19,67327,22.43297576904297,1,0.1064622551202774,1.3899999856948853,0.4300000071525574,1.1200000047683716,2.930000066757202,28.220476150512695 +1978,44,1,MVA,15-17 yrs,11,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,20.77549171447754 +1978,44,1,suicide,15-17 yrs,1,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,1.888681173324585 +1978,44,1,homicide,15-17 yrs,2,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,3.77736234664917 +1978,44,1,other external,15-17 yrs,3,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.666043281555176 +1978,44,1,internal,15-17 yrs,6,52947,16.005685806274414,0,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,11.332086563110352 +1978,44,1,all,18-20 yrs,46,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,77.94364166259766 +1978,44,1,MVA,18-20 yrs,25,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,42.36067581176758 +1978,44,1,suicide,18-20 yrs,3,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.08328104019165 +1978,44,1,homicide,18-20 yrs,0,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,0 +1978,44,1,other external,18-20 yrs,3,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,5.08328104019165 +1978,44,1,internal,18-20 yrs,15,59017,19.02094268798828,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,25.416404724121094 +1978,44,1,all,21-24 yrs,71,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,102.8061752319336 +1978,44,1,MVA,21-24 yrs,24,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,34.751380920410156 +1978,44,1,suicide,21-24 yrs,14,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,20.27164077758789 +1978,44,1,homicide,21-24 yrs,8,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,11.583794593811035 +1978,44,1,other external,21-24 yrs,12,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,17.375690460205078 +1978,44,1,internal,21-24 yrs,13,69062,22.434856414794922,1,0.09895111620426178,1.409999966621399,0.5,1.159999966621399,3.069999933242798,18.823665618896484 +1979,44,1,MVA,15-17 yrs,20,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,38.57503890991211 +1979,44,1,suicide,15-17 yrs,3,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,5.786255836486816 +1979,44,1,homicide,15-17 yrs,1,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,1.9287519454956055 +1979,44,1,other external,15-17 yrs,8,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,15.430015563964844 +1979,44,1,internal,15-17 yrs,5,51847,15.99944019317627,0,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,9.643759727478027 +1979,44,1,all,18-20 yrs,47,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,78.816741943359375 +1979,44,1,MVA,18-20 yrs,23,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,38.56989669799805 +1979,44,1,suicide,18-20 yrs,5,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,8.384759902954102 +1979,44,1,homicide,18-20 yrs,6,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,10.061712265014648 +1979,44,1,other external,18-20 yrs,5,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,8.384759902954102 +1979,44,1,internal,18-20 yrs,8,59632,19.009809494018555,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,13.415616035461426 +1979,44,1,all,21-24 yrs,64,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,90.66825103759766 +1979,44,1,MVA,21-24 yrs,19,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,26.917137145996094 +1979,44,1,suicide,21-24 yrs,14,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,19.833681106567383 +1979,44,1,homicide,21-24 yrs,7,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,9.916840553283691 +1979,44,1,other external,21-24 yrs,11,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,15.583605766296387 +1979,44,1,internal,21-24 yrs,13,70587,22.436864852905273,1,0.08886519074440002,1.4600000381469727,0.5,1.1100000143051147,3.069999933242798,18.416988372802734 +1980,44,0.842829704284668,MVA,15-17 yrs,11,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,21.84186553955078 +1980,44,0.842829704284668,suicide,15-17 yrs,4,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,7.942496299743652 +1980,44,0.842829704284668,homicide,15-17 yrs,2,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,3.971248149871826 +1980,44,0.842829704284668,other external,15-17 yrs,4,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,7.942496299743652 +1980,44,0.842829704284668,internal,15-17 yrs,6,50362,16.006473541259766,0,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,11.913744926452637 +1980,44,0.842829704284668,all,18-20 yrs,54,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,92.20051574707031 +1980,44,0.842829704284668,MVA,18-20 yrs,22,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,37.563175201416016 +1980,44,0.842829704284668,suicide,18-20 yrs,5,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,8.53708553314209 +1980,44,0.842829704284668,homicide,18-20 yrs,7,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,11.951919555664062 +1980,44,0.842829704284668,other external,18-20 yrs,9,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,15.366753578186035 +1980,44,0.842829704284668,internal,18-20 yrs,11,58568,19.023237228393555,0.842829704284668,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,18.781587600708008 +1980,44,0.842829704284668,all,21-24 yrs,68,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,95.0025863647461 +1980,44,0.842829704284668,MVA,21-24 yrs,17,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,23.750646591186523 +1980,44,0.842829704284668,suicide,21-24 yrs,13,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,18.16225814819336 +1980,44,0.842829704284668,homicide,21-24 yrs,7,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,9.779677391052246 +1980,44,0.842829704284668,other external,21-24 yrs,10,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,13.970968246459961 +1980,44,0.842829704284668,internal,21-24 yrs,21,71577,22.442012786865234,1,0.07829626649618149,1.4600000381469727,0.5299999713897705,1.1399999856948853,3.140000104904175,29.339033126831055 +1981,44,0.5324057340621948,MVA,15-17 yrs,10,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,20.364110946655273 +1981,44,0.5324057340621948,suicide,15-17 yrs,6,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,12.218465805053711 +1981,44,0.5324057340621948,homicide,15-17 yrs,2,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,4.072822093963623 +1981,44,0.5324057340621948,other external,15-17 yrs,4,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.145644187927246 +1981,44,0.5324057340621948,internal,15-17 yrs,4,49106,16.024253845214844,0,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.145644187927246 +1981,44,0.5324057340621948,all,18-20 yrs,30,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,52.47415542602539 +1981,44,0.5324057340621948,MVA,18-20 yrs,16,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,27.986217498779297 +1981,44,0.5324057340621948,suicide,18-20 yrs,2,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,3.498277187347412 +1981,44,0.5324057340621948,homicide,18-20 yrs,4,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,6.996554374694824 +1981,44,0.5324057340621948,other external,18-20 yrs,6,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,10.494831085205078 +1981,44,0.5324057340621948,internal,18-20 yrs,2,57171,19.067604064941406,0.5324057340621948,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,3.498277187347412 +1981,44,0.5324057340621948,all,21-24 yrs,42,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,56.12272262573242 +1981,44,0.5324057340621948,MVA,21-24 yrs,18,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,24.052595138549805 +1981,44,0.5324057340621948,suicide,21-24 yrs,12,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,16.035062789916992 +1981,44,0.5324057340621948,homicide,21-24 yrs,4,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,5.3450212478637695 +1981,44,0.5324057340621948,other external,21-24 yrs,2,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,2.6725106239318848 +1981,44,0.5324057340621948,internal,21-24 yrs,6,74836,22.450143814086914,1,0.07097483426332474,1.3600000143051147,0.5199999809265137,1.0399999618530273,2.9200000762939453,8.017531394958496 +1982,44,0.3565172851085663,MVA,15-17 yrs,8,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,16.911531448364258 +1982,44,0.3565172851085663,suicide,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,homicide,15-17 yrs,2,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,4.2278828620910645 +1982,44,0.3565172851085663,other external,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,internal,15-17 yrs,0,47305,16.02781867980957,0,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,0 +1982,44,0.3565172851085663,all,18-20 yrs,50,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,91.22755432128906 +1982,44,0.3565172851085663,MVA,18-20 yrs,18,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,32.841922760009766 +1982,44,0.3565172851085663,suicide,18-20 yrs,10,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.245512008666992 +1982,44,0.3565172851085663,homicide,18-20 yrs,4,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,7.29820442199707 +1982,44,0.3565172851085663,other external,18-20 yrs,10,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.245512008666992 +1982,44,0.3565172851085663,internal,18-20 yrs,8,54808,19.04238510131836,0.3565172851085663,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,14.59640884399414 +1982,44,0.3565172851085663,all,21-24 yrs,44,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,56.83799743652344 +1982,44,0.3565172851085663,MVA,21-24 yrs,14,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,18.08481788635254 +1982,44,0.3565172851085663,suicide,21-24 yrs,10,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,12.91772747039795 +1982,44,0.3565172851085663,homicide,21-24 yrs,6,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,7.750636100769043 +1982,44,0.3565172851085663,other external,21-24 yrs,2,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,2.583545446395874 +1982,44,0.3565172851085663,internal,21-24 yrs,12,77413,22.454652786254883,1,0.06685609370470047,1.340000033378601,0.550000011920929,1.0399999618530273,2.930000066757202,15.501272201538086 +1983,44,0.33735543489456177,MVA,15-17 yrs,7,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,15.430057525634766 +1983,44,0.33735543489456177,suicide,15-17 yrs,2,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,4.40858793258667 +1983,44,0.33735543489456177,homicide,15-17 yrs,3,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,6.612881660461426 +1983,44,0.33735543489456177,other external,15-17 yrs,2,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,4.40858793258667 +1983,44,0.33735543489456177,internal,15-17 yrs,5,45366,16.024158477783203,0,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,11.021470069885254 +1983,44,0.33735543489456177,all,18-20 yrs,35,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,64.9724349975586 +1983,44,0.33735543489456177,MVA,18-20 yrs,13,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,24.132617950439453 +1983,44,0.33735543489456177,suicide,18-20 yrs,5,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,9.281776428222656 +1983,44,0.33735543489456177,homicide,18-20 yrs,2,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,3.712710380554199 +1983,44,0.33735543489456177,other external,18-20 yrs,4,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,7.425420761108398 +1983,44,0.33735543489456177,internal,18-20 yrs,11,53869,19.018564224243164,0.33735543489456177,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,20.419906616210938 +1983,44,0.33735543489456177,all,21-24 yrs,58,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,74.66336822509766 +1983,44,0.33735543489456177,MVA,21-24 yrs,20,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,25.745990753173828 +1983,44,0.33735543489456177,suicide,21-24 yrs,13,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,16.734893798828125 +1983,44,0.33735543489456177,homicide,21-24 yrs,5,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,6.436497688293457 +1983,44,0.33735543489456177,other external,21-24 yrs,9,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,11.585695266723633 +1983,44,0.33735543489456177,internal,21-24 yrs,11,77682,22.492095947265625,1,0.06477522850036621,1.4800000190734863,0.5,1.059999942779541,3.0399999618530273,14.160294532775879 +1984,44,0.1724034696817398,MVA,15-17 yrs,8,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,18.195051193237305 +1984,44,0.1724034696817398,suicide,15-17 yrs,2,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,4.548762798309326 +1984,44,0.1724034696817398,homicide,15-17 yrs,0,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,0 +1984,44,0.1724034696817398,other external,15-17 yrs,5,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.371907234191895 +1984,44,0.1724034696817398,internal,15-17 yrs,9,43968,16.026838302612305,0,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,20.469432830810547 +1984,44,0.1724034696817398,all,18-20 yrs,43,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,79.360687255859375 +1984,44,0.1724034696817398,MVA,18-20 yrs,10,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,18.45597267150879 +1984,44,0.1724034696817398,suicide,18-20 yrs,8,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,14.764779090881348 +1984,44,0.1724034696817398,homicide,18-20 yrs,6,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.073583602905273 +1984,44,0.1724034696817398,other external,18-20 yrs,6,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,11.073583602905273 +1984,44,0.1724034696817398,internal,18-20 yrs,13,54183,19.037004470825195,0.1724034696817398,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,23.992765426635742 +1984,44,0.1724034696817398,all,21-24 yrs,58,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,76.50201416015625 +1984,44,0.1724034696817398,MVA,21-24 yrs,22,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,29.018003463745117 +1984,44,0.1724034696817398,suicide,21-24 yrs,8,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,10.552001953125 +1984,44,0.1724034696817398,homicide,21-24 yrs,8,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,10.552001953125 +1984,44,0.1724034696817398,other external,21-24 yrs,4,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,5.2760009765625 +1984,44,0.1724034696817398,internal,21-24 yrs,16,75815,22.533679962158203,1,0.062094442546367645,1.3700000047683716,0.5199999809265137,1.0299999713897705,2.9200000762939453,21.10400390625 +1985,44,0,MVA,15-17 yrs,10,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,23.08029556274414 +1985,44,0,suicide,15-17 yrs,3,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,6.924088954925537 +1985,44,0,homicide,15-17 yrs,0,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,0 +1985,44,0,other external,15-17 yrs,1,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,2.3080296516418457 +1985,44,0,internal,15-17 yrs,11,43327,16.01218605041504,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,25.38832664489746 +1985,44,0,all,18-20 yrs,40,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,74.14134979248047 +1985,44,0,MVA,18-20 yrs,18,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,33.363609313964844 +1985,44,0,suicide,18-20 yrs,9,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,16.681804656982422 +1985,44,0,homicide,18-20 yrs,4,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,7.414134979248047 +1985,44,0,other external,18-20 yrs,2,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,3.7070674896240234 +1985,44,0,internal,18-20 yrs,7,53951,19.042261123657227,0,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,12.974736213684082 +1985,44,0,all,21-24 yrs,73,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,98.502227783203125 +1985,44,0,MVA,21-24 yrs,27,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,36.43233108520508 +1985,44,0,suicide,21-24 yrs,11,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,14.842801094055176 +1985,44,0,homicide,21-24 yrs,7,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,9.4454193115234375 +1985,44,0,other external,21-24 yrs,7,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,9.4454193115234375 +1985,44,0,internal,21-24 yrs,21,74110,22.536163330078125,1,0.05995922535657883,1.399999976158142,0.5099999904632568,1.0299999713897705,2.940000057220459,28.33625602722168 +1986,44,0,MVA,15-17 yrs,7,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,16.153596878051758 +1986,44,0,suicide,15-17 yrs,1,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,2.307656764984131 +1986,44,0,homicide,15-17 yrs,0,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,0 +1986,44,0,other external,15-17 yrs,1,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,2.307656764984131 +1986,44,0,internal,15-17 yrs,3,43334,16.004131317138672,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,6.922970294952393 +1986,44,0,all,18-20 yrs,49,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,91.85490417480469 +1986,44,0,MVA,18-20 yrs,22,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,41.2409782409668 +1986,44,0,suicide,18-20 yrs,9,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,16.871309280395508 +1986,44,0,homicide,18-20 yrs,5,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,9.372949600219727 +1986,44,0,other external,18-20 yrs,6,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,11.247539520263672 +1986,44,0,internal,18-20 yrs,7,53345,19.039291381835938,0,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,13.122129440307617 +1986,44,0,all,21-24 yrs,55,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,76.94890594482422 +1986,44,0,MVA,21-24 yrs,18,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,25.183279037475586 +1986,44,0,suicide,21-24 yrs,11,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,15.38978099822998 +1986,44,0,homicide,21-24 yrs,3,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,4.197213172912598 +1986,44,0,other external,21-24 yrs,8,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,11.192567825317383 +1986,44,0,internal,21-24 yrs,15,71476,22.49197006225586,1,0.058865081518888474,1.409999966621399,0.5299999713897705,0.9300000071525574,2.859999895095825,20.986064910888672 +1987,44,0,MVA,15-17 yrs,9,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,21.214406967163086 +1987,44,0,suicide,15-17 yrs,2,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,4.714312553405762 +1987,44,0,homicide,15-17 yrs,2,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,4.714312553405762 +1987,44,0,other external,15-17 yrs,1,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,2.357156276702881 +1987,44,0,internal,15-17 yrs,4,42424,16.04518699645996,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,9.428625106811523 +1987,44,0,all,18-20 yrs,34,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,63.573978424072266 +1987,44,0,MVA,18-20 yrs,16,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,29.91716766357422 +1987,44,0,suicide,18-20 yrs,6,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,11.218937873840332 +1987,44,0,homicide,18-20 yrs,1,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,1.8698229789733887 +1987,44,0,other external,18-20 yrs,3,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,5.609468936920166 +1987,44,0,internal,18-20 yrs,8,53481,19.03973388671875,0,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,14.95858383178711 +1987,44,0,all,21-24 yrs,63,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,90.29151153564453 +1987,44,0,MVA,21-24 yrs,25,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,35.82996368408203 +1987,44,0,suicide,21-24 yrs,11,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,15.76518440246582 +1987,44,0,homicide,21-24 yrs,5,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,7.1659932136535645 +1987,44,0,other external,21-24 yrs,7,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,10.032390594482422 +1987,44,0,internal,21-24 yrs,15,69774,22.46828269958496,1,0.05679236724972725,1.399999976158142,0.5099999904632568,0.9399999976158142,2.8499999046325684,21.49798011779785 +1988,44,0,MVA,15-17 yrs,10,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,24.935791015625 +1988,44,0,suicide,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,homicide,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,other external,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,internal,15-17 yrs,3,40103,16.07370948791504,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.480737209320068 +1988,44,0,all,18-20 yrs,39,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,72.13005828857422 +1988,44,0,MVA,18-20 yrs,15,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,27.742328643798828 +1988,44,0,suicide,18-20 yrs,5,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,9.247443199157715 +1988,44,0,homicide,18-20 yrs,6,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,11.096931457519531 +1988,44,0,other external,18-20 yrs,5,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,9.247443199157715 +1988,44,0,internal,18-20 yrs,8,54069,19.025300979614258,0,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,14.79590892791748 +1988,44,0,all,21-24 yrs,50,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,72.55525207519531 +1988,44,0,MVA,21-24 yrs,17,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,24.668785095214844 +1988,44,0,suicide,21-24 yrs,12,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,17.413259506225586 +1988,44,0,homicide,21-24 yrs,7,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,10.157734870910645 +1988,44,0,other external,21-24 yrs,5,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,7.2555251121521 +1988,44,0,internal,21-24 yrs,9,68913,22.473989486694336,1,0.05453603342175484,1.3899999856948853,0.49000000953674316,0.9700000286102295,2.8499999046325684,13.059945106506348 +1989,44,0,MVA,15-17 yrs,8,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,21.512893676757812 +1989,44,0,suicide,15-17 yrs,4,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.756446838378906 +1989,44,0,homicide,15-17 yrs,4,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.756446838378906 +1989,44,0,other external,15-17 yrs,1,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,2.6891117095947266 +1989,44,0,internal,15-17 yrs,5,37187,16.05039405822754,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,13.445558547973633 +1989,44,0,all,18-20 yrs,38,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,68.88675689697266 +1989,44,0,MVA,18-20 yrs,15,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,27.192140579223633 +1989,44,0,suicide,18-20 yrs,11,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,19.940902709960938 +1989,44,0,homicide,18-20 yrs,5,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,9.064046859741211 +1989,44,0,other external,18-20 yrs,2,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,3.6256186962127686 +1989,44,0,internal,18-20 yrs,5,55163,19.018707275390625,0,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,9.064046859741211 +1989,44,0,all,21-24 yrs,55,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,81.79411315917969 +1989,44,0,MVA,21-24 yrs,16,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,23.794652938842773 +1989,44,0,suicide,21-24 yrs,9,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,13.384491920471191 +1989,44,0,homicide,21-24 yrs,7,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.410160064697266 +1989,44,0,other external,21-24 yrs,7,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,10.410160064697266 +1989,44,0,internal,21-24 yrs,16,67242,22.468442916870117,1,0.07822580635547638,1.3700000047683716,0.46000000834465027,0.8700000047683716,2.690000057220459,23.794652938842773 +1990,44,0,MVA,15-17 yrs,10,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,28.179332733154297 +1990,44,0,suicide,15-17 yrs,2,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,5.635866641998291 +1990,44,0,homicide,15-17 yrs,6,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.90760040283203 +1990,44,0,other external,15-17 yrs,0,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,0 +1990,44,0,internal,15-17 yrs,5,35487,16.029024124145508,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,14.089666366577148 +1990,44,0,all,18-20 yrs,39,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,71.78618621826172 +1990,44,0,MVA,18-20 yrs,11,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,20.247386932373047 +1990,44,0,suicide,18-20 yrs,9,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.566043853759766 +1990,44,0,homicide,18-20 yrs,4,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,7.362685680389404 +1990,44,0,other external,18-20 yrs,6,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,11.044029235839844 +1990,44,0,internal,18-20 yrs,9,54328,19.075265884399414,0,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.566043853759766 +1990,44,0,all,21-24 yrs,52,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,78.236663818359375 +1990,44,0,MVA,21-24 yrs,14,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,21.063716888427734 +1990,44,0,suicide,21-24 yrs,11,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,16.550064086914062 +1990,44,0,homicide,21-24 yrs,5,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,7.522756099700928 +1990,44,0,other external,21-24 yrs,7,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,10.531858444213867 +1990,44,0,internal,21-24 yrs,15,66465,22.450101852416992,1,0.07421576231718063,1.309999942779541,0.4399999976158142,0.7900000214576721,2.5399999618530273,22.568269729614258 +1991,44,0,MVA,15-17 yrs,4,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,11.569722175598145 +1991,44,0,suicide,15-17 yrs,1,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,2.892430543899536 +1991,44,0,homicide,15-17 yrs,3,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,8.6772918701171875 +1991,44,0,other external,15-17 yrs,1,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,2.892430543899536 +1991,44,0,internal,15-17 yrs,4,34573,16.019927978515625,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,11.569722175598145 +1991,44,0,all,18-20 yrs,23,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,48.27875900268555 +1991,44,0,MVA,18-20 yrs,5,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,10.495382308959961 +1991,44,0,suicide,18-20 yrs,6,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,12.59445858001709 +1991,44,0,homicide,18-20 yrs,3,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,6.297229290008545 +1991,44,0,other external,18-20 yrs,3,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,6.297229290008545 +1991,44,0,internal,18-20 yrs,6,47640,19.146095275878906,0,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,12.59445858001709 +1991,44,0,all,21-24 yrs,50,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,73.042816162109375 +1991,44,0,MVA,21-24 yrs,17,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,24.834558486938477 +1991,44,0,suicide,21-24 yrs,4,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,5.843425273895264 +1991,44,0,homicide,21-24 yrs,9,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,13.147706985473633 +1991,44,0,other external,21-24 yrs,6,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,8.765137672424316 +1991,44,0,internal,21-24 yrs,14,68453,22.425094604492188,1,0.07121879607439041,1.3300000429153442,0.3700000047683716,0.7099999785423279,2.4100000858306885,20.451988220214844 +1992,44,0,MVA,15-17 yrs,9,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,25.978525161743164 +1992,44,0,suicide,15-17 yrs,1,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,2.886502742767334 +1992,44,0,homicide,15-17 yrs,0,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,0 +1992,44,0,other external,15-17 yrs,2,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,5.773005485534668 +1992,44,0,internal,15-17 yrs,6,34644,15.999018669128418,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,17.319015502929688 +1992,44,0,all,18-20 yrs,23,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,56.79292678833008 +1992,44,0,MVA,18-20 yrs,8,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,19.75406265258789 +1992,44,0,suicide,18-20 yrs,3,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,7.407773017883301 +1992,44,0,homicide,18-20 yrs,6,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,14.815546035766602 +1992,44,0,other external,18-20 yrs,1,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,2.4692578315734863 +1992,44,0,internal,18-20 yrs,5,40498,19.108598709106445,0,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,12.346288681030273 +1992,44,0,all,21-24 yrs,38,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,54.296573638916016 +1992,44,0,MVA,21-24 yrs,9,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,12.85971450805664 +1992,44,0,suicide,21-24 yrs,3,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,4.286571502685547 +1992,44,0,homicide,21-24 yrs,6,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,8.573143005371094 +1992,44,0,other external,21-24 yrs,7,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,10.00200080871582 +1992,44,0,internal,21-24 yrs,13,69986,22.440874099731445,1,0.0691375657916069,1.2400000095367432,0.38999998569488525,0.699999988079071,2.3299999237060547,18.575143814086914 +1993,44,0,MVA,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,suicide,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,homicide,15-17 yrs,6,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,17.038677215576172 +1993,44,0,other external,15-17 yrs,2,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.679559230804443 +1993,44,0,internal,15-17 yrs,5,35214,15.975833892822266,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,14.198898315429688 +1993,44,0,all,18-20 yrs,18,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,49.38677978515625 +1993,44,0,MVA,18-20 yrs,3,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,8.231130599975586 +1993,44,0,suicide,18-20 yrs,2,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.487420082092285 +1993,44,0,homicide,18-20 yrs,5,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,13.718550682067871 +1993,44,0,other external,18-20 yrs,4,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.97484016418457 +1993,44,0,internal,18-20 yrs,4,36447,19.03374671936035,0,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.97484016418457 +1993,44,0,all,21-24 yrs,41,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,60.29677963256836 +1993,44,0,MVA,21-24 yrs,9,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,13.235877990722656 +1993,44,0,suicide,21-24 yrs,7,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,10.294571876525879 +1993,44,0,homicide,21-24 yrs,4,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,5.882612705230713 +1993,44,0,other external,21-24 yrs,5,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,7.353265762329102 +1993,44,0,internal,21-24 yrs,16,67997,22.532655715942383,1,0.06712803244590759,1.2200000286102295,0.36000001430511475,0.6899999976158142,2.2699999809265137,23.53045082092285 +1994,44,0,MVA,15-17 yrs,3,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,8.293707847595215 +1994,44,0,suicide,15-17 yrs,0,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,0 +1994,44,0,homicide,15-17 yrs,0,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,0 +1994,44,0,other external,15-17 yrs,1,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,2.7645692825317383 +1994,44,0,internal,15-17 yrs,6,36172,15.981505393981934,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.58741569519043 +1994,44,0,all,18-20 yrs,22,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,62.312355041503906 +1994,44,0,MVA,18-20 yrs,3,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,8.497138977050781 +1994,44,0,suicide,18-20 yrs,1,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,2.8323798179626465 +1994,44,0,homicide,18-20 yrs,4,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,11.329519271850586 +1994,44,0,other external,18-20 yrs,4,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,11.329519271850586 +1994,44,0,internal,18-20 yrs,10,35306,19.029088973999023,0,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,28.32379722595215 +1994,44,0,all,21-24 yrs,47,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,75.5068588256836 +1994,44,0,MVA,21-24 yrs,13,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,20.884876251220703 +1994,44,0,suicide,21-24 yrs,8,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,12.8522310256958 +1994,44,0,homicide,21-24 yrs,10,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.065288543701172 +1994,44,0,other external,21-24 yrs,6,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,9.63917350769043 +1994,44,0,internal,21-24 yrs,10,62246,22.649471282958984,1,0.06545209139585495,1.2300000190734863,0.3799999952316284,0.6600000262260437,2.2699999809265137,16.065288543701172 +1995,44,0,MVA,15-17 yrs,4,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,10.796221733093262 +1995,44,0,suicide,15-17 yrs,1,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.6990554332733154 +1995,44,0,homicide,15-17 yrs,3,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,8.097166061401367 +1995,44,0,other external,15-17 yrs,3,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,8.097166061401367 +1995,44,0,internal,15-17 yrs,1,37050,15.973278999328613,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.6990554332733154 +1995,44,0,all,18-20 yrs,22,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,62.39011001586914 +1995,44,0,MVA,18-20 yrs,6,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,17.015483856201172 +1995,44,0,suicide,18-20 yrs,1,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.835913896560669 +1995,44,0,homicide,18-20 yrs,9,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,25.523225784301758 +1995,44,0,other external,18-20 yrs,1,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,2.835913896560669 +1995,44,0,internal,18-20 yrs,5,35262,19.012676239013672,0,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,14.179570198059082 +1995,44,0,all,21-24 yrs,29,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,52.391963958740234 +1995,44,0,MVA,21-24 yrs,4,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,7.22647762298584 +1995,44,0,suicide,21-24 yrs,6,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,10.839716911315918 +1995,44,0,homicide,21-24 yrs,5,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,9.033097267150879 +1995,44,0,other external,21-24 yrs,4,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,7.22647762298584 +1995,44,0,internal,21-24 yrs,10,55352,22.67569351196289,1,0.0636482983827591,1.190000057220459,0.3799999952316284,0.6000000238418579,2.1700000762939453,18.066194534301758 +1996,44,0,MVA,15-17 yrs,2,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.317875862121582 +1996,44,0,suicide,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,homicide,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,other external,15-17 yrs,0,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,0 +1996,44,0,internal,15-17 yrs,3,37609,15.983434677124023,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,7.976814270019531 +1996,44,0,all,18-20 yrs,17,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,47.56841278076172 +1996,44,0,MVA,18-20 yrs,7,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,19.586994171142578 +1996,44,0,suicide,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,homicide,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,other external,18-20 yrs,2,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,5.596283912658691 +1996,44,0,internal,18-20 yrs,4,35738,18.997089385986328,0,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,11.192567825317383 +1996,44,0,all,21-24 yrs,42,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,85.5101089477539 +1996,44,0,MVA,21-24 yrs,10,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,20.35955047607422 +1996,44,0,suicide,21-24 yrs,11,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,22.395503997802734 +1996,44,0,homicide,21-24 yrs,5,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,10.17977523803711 +1996,44,0,other external,21-24 yrs,5,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,10.17977523803711 +1996,44,0,internal,21-24 yrs,11,49117,22.588960647583008,1,0.06182282045483589,1.159999966621399,0.41999998688697815,0.6499999761581421,2.240000009536743,22.395503997802734 +1970,45,1,MVA,15-17 yrs,71,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,42.358726501464844 +1970,45,1,suicide,15-17 yrs,3,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,1.789805293083191 +1970,45,1,homicide,15-17 yrs,16,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,9.545628547668457 +1970,45,1,other external,15-17 yrs,59,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,35.19950485229492 +1970,45,1,internal,15-17 yrs,46,167616,15.989923477172852,0,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,27.443681716918945 +1970,45,1,all,18-20 yrs,250,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,148.70684814453125 +1970,45,1,MVA,18-20 yrs,122,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,72.568939208984375 +1970,45,1,suicide,18-20 yrs,10,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,5.948273658752441 +1970,45,1,homicide,18-20 yrs,34,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,20.224130630493164 +1970,45,1,other external,18-20 yrs,33,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,19.629302978515625 +1970,45,1,internal,18-20 yrs,51,168116,18.990251541137695,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,30.336196899414062 +1970,45,1,all,21-24 yrs,348,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,189.50428771972656 +1970,45,1,MVA,21-24 yrs,134,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,72.97004699707031 +1970,45,1,suicide,21-24 yrs,17,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,9.257393836975098 +1970,45,1,homicide,21-24 yrs,42,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,22.87120819091797 +1970,45,1,other external,21-24 yrs,57,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,31.03949546813965 +1970,45,1,internal,21-24 yrs,98,183637,22.387502670288086,1,1.984536051750183,0.800000011920929,0.1599999964237213,1.090000033378601,2.0399999618530273,53.36614990234375 +1971,45,1,MVA,15-17 yrs,72,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,42.01165771484375 +1971,45,1,suicide,15-17 yrs,4,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,2.3339810371398926 +1971,45,1,homicide,15-17 yrs,14,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,8.168933868408203 +1971,45,1,other external,15-17 yrs,38,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,22.172819137573242 +1971,45,1,internal,15-17 yrs,58,171381,16.000139236450195,0,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,33.84272384643555 +1971,45,1,all,18-20 yrs,232,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,131.6192626953125 +1971,45,1,MVA,18-20 yrs,101,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,57.29976272583008 +1971,45,1,suicide,18-20 yrs,7,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,3.971270799636841 +1971,45,1,homicide,18-20 yrs,34,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,19.28902816772461 +1971,45,1,other external,18-20 yrs,40,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,22.692975997924805 +1971,45,1,internal,18-20 yrs,50,176266,19.022789001464844,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,28.36621856689453 +1971,45,1,all,21-24 yrs,346,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,168.32723999023438 +1971,45,1,MVA,21-24 yrs,127,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,61.78485107421875 +1971,45,1,suicide,21-24 yrs,17,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,8.270413398742676 +1971,45,1,homicide,21-24 yrs,75,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,36.487117767333984 +1971,45,1,other external,21-24 yrs,54,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,26.27072525024414 +1971,45,1,internal,21-24 yrs,73,205552,22.468231201171875,1,1.90123450756073,0.8600000143051147,0.1899999976158142,1.1100000143051147,2.1600000858306885,35.514129638671875 +1972,45,1,MVA,15-17 yrs,108,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,61.55635070800781 +1972,45,1,suicide,15-17 yrs,8,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,4.55972957611084 +1972,45,1,homicide,15-17 yrs,10,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,5.699662208557129 +1972,45,1,other external,15-17 yrs,26,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,14.819121360778809 +1972,45,1,internal,15-17 yrs,54,175449,15.997246742248535,0,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,30.778175354003906 +1972,45,1,all,18-20 yrs,294,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,165.0655975341797 +1972,45,1,MVA,18-20 yrs,122,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,68.496612548828125 +1972,45,1,suicide,18-20 yrs,20,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,11.228952407836914 +1972,45,1,homicide,18-20 yrs,20,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,11.228952407836914 +1972,45,1,other external,18-20 yrs,66,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,37.055545806884766 +1972,45,1,internal,18-20 yrs,66,178111,19.006473541259766,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,37.055545806884766 +1972,45,1,all,21-24 yrs,364,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,171.96498107910156 +1972,45,1,MVA,21-24 yrs,154,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,72.7544174194336 +1972,45,1,suicide,21-24 yrs,28,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,13.228075981140137 +1972,45,1,homicide,21-24 yrs,52,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,24.566425323486328 +1972,45,1,other external,21-24 yrs,52,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,24.566425323486328 +1972,45,1,internal,21-24 yrs,78,211671,22.418025970458984,1,1.8421052694320679,0.9200000166893005,0.20999999344348907,1.090000033378601,2.2200000286102295,36.849639892578125 +1973,45,1,MVA,15-17 yrs,77,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,43.17426300048828 +1973,45,1,suicide,15-17 yrs,12,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,6.728456497192383 +1973,45,1,homicide,15-17 yrs,9,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,5.046342372894287 +1973,45,1,other external,15-17 yrs,55,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,30.83875846862793 +1973,45,1,internal,15-17 yrs,44,178347,16.000017166137695,0,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,24.67100715637207 +1973,45,1,all,18-20 yrs,266,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,146.40159606933594 +1973,45,1,MVA,18-20 yrs,113,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,62.19316101074219 +1973,45,1,suicide,18-20 yrs,15,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,8.255729675292969 +1973,45,1,homicide,18-20 yrs,31,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,17.061840057373047 +1973,45,1,other external,18-20 yrs,54,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,29.720626831054688 +1973,45,1,internal,18-20 yrs,53,181692,18.99652671813965,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,29.170244216918945 +1973,45,1,all,21-24 yrs,369,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,169.28236389160156 +1973,45,1,MVA,21-24 yrs,135,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,61.93257141113281 +1973,45,1,suicide,21-24 yrs,23,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,10.551475524902344 +1973,45,1,homicide,21-24 yrs,60,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,27.52558708190918 +1973,45,1,other external,21-24 yrs,58,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,26.608068466186523 +1973,45,1,internal,21-24 yrs,93,217979,22.4296875,1,1.734234094619751,1,0.20000000298023224,1.090000033378601,2.2899999618530273,42.6646614074707 +1974,45,1,MVA,15-17 yrs,81,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,44.681766510009766 +1974,45,1,suicide,15-17 yrs,9,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,4.9646406173706055 +1974,45,1,homicide,15-17 yrs,9,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,4.9646406173706055 +1974,45,1,other external,15-17 yrs,64,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,35.30411148071289 +1974,45,1,internal,15-17 yrs,39,181282,16.01383399963379,0,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,21.513442993164062 +1974,45,1,all,18-20 yrs,249,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,131.9624786376953 +1974,45,1,MVA,18-20 yrs,94,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,49.817161560058594 +1974,45,1,suicide,18-20 yrs,17,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,9.009486198425293 +1974,45,1,homicide,18-20 yrs,34,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,18.018972396850586 +1974,45,1,other external,18-20 yrs,48,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,25.43855094909668 +1974,45,1,internal,18-20 yrs,56,188690,19.002405166625977,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,29.678308486938477 +1974,45,1,all,21-24 yrs,378,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,166.19256591796875 +1974,45,1,MVA,21-24 yrs,118,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,51.880218505859375 +1974,45,1,suicide,21-24 yrs,24,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,10.551908493041992 +1974,45,1,homicide,21-24 yrs,73,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,32.09539031982422 +1974,45,1,other external,21-24 yrs,83,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,36.49201965332031 +1974,45,1,internal,21-24 yrs,80,227447,22.455078125,1,1.5618661642074585,1.059999942779541,0.1899999976158142,1.100000023841858,2.359999895095825,35.173030853271484 +1975,45,1,MVA,15-17 yrs,62,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,34.021629333496094 +1975,45,1,suicide,15-17 yrs,8,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,4.389887809753418 +1975,45,1,homicide,15-17 yrs,17,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,9.328512191772461 +1975,45,1,other external,15-17 yrs,52,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,28.534271240234375 +1975,45,1,internal,15-17 yrs,31,182237,16.00672149658203,0,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,17.010814666748047 +1975,45,1,all,18-20 yrs,244,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,125.81924438476562 +1975,45,1,MVA,18-20 yrs,89,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,45.89308547973633 +1975,45,1,suicide,18-20 yrs,19,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,9.79740047454834 +1975,45,1,homicide,18-20 yrs,30,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,15.469578742980957 +1975,45,1,other external,18-20 yrs,56,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,28.87654685974121 +1975,45,1,internal,18-20 yrs,50,193929,18.998886108398438,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,25.782630920410156 +1975,45,1,all,21-24 yrs,323,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,138.48277282714844 +1975,45,1,MVA,21-24 yrs,102,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,43.73140335083008 +1975,45,1,suicide,21-24 yrs,32,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,13.719655990600586 +1975,45,1,homicide,21-24 yrs,50,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,21.436962127685547 +1975,45,1,other external,21-24 yrs,70,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,30.011747360229492 +1975,45,1,internal,21-24 yrs,69,233242,22.469881057739258,1,1.4312267303466797,1.090000033378601,0.2199999988079071,1.0800000429153442,2.390000104904175,29.5830078125 +1976,45,1,MVA,15-17 yrs,77,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,42.126224517822266 +1976,45,1,suicide,15-17 yrs,4,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,2.188375234603882 +1976,45,1,homicide,15-17 yrs,8,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,4.376750469207764 +1976,45,1,other external,15-17 yrs,37,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,20.24247169494629 +1976,45,1,internal,15-17 yrs,34,182784,16.0051326751709,0,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,18.6011905670166 +1976,45,1,all,18-20 yrs,228,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,115.71019744873047 +1976,45,1,MVA,18-20 yrs,92,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,46.69007873535156 +1976,45,1,suicide,18-20 yrs,12,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,6.090010166168213 +1976,45,1,homicide,18-20 yrs,31,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,15.732526779174805 +1976,45,1,other external,18-20 yrs,46,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,23.34503936767578 +1976,45,1,internal,18-20 yrs,47,197044,19.004186630249023,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,23.852540969848633 +1976,45,1,all,21-24 yrs,310,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,131.55213928222656 +1976,45,1,MVA,21-24 yrs,107,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,45.406707763671875 +1976,45,1,suicide,21-24 yrs,29,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,12.306490898132324 +1976,45,1,homicide,21-24 yrs,34,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,14.428299903869629 +1976,45,1,other external,21-24 yrs,67,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,28.43223762512207 +1976,45,1,internal,21-24 yrs,73,235648,22.4517879486084,1,1.3532512187957764,1.1200000047683716,0.20000000298023224,1.190000057220459,2.5199999809265137,30.978408813476562 +1977,45,1,MVA,15-17 yrs,77,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,41.949737548828125 +1977,45,1,suicide,15-17 yrs,11,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,5.992819309234619 +1977,45,1,homicide,15-17 yrs,8,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,4.358414173126221 +1977,45,1,other external,15-17 yrs,44,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,23.971277236938477 +1977,45,1,internal,15-17 yrs,48,183553,16.01102638244629,0,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,26.15048599243164 +1977,45,1,all,18-20 yrs,280,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,141.2237091064453 +1977,45,1,MVA,18-20 yrs,132,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,66.57688903808594 +1977,45,1,suicide,18-20 yrs,20,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,10.087407112121582 +1977,45,1,homicide,18-20 yrs,24,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,12.104888916015625 +1977,45,1,other external,18-20 yrs,55,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,27.74036979675293 +1977,45,1,internal,18-20 yrs,49,198267,19.015897750854492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,24.714147567749023 +1977,45,1,all,21-24 yrs,361,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,151.0826873779297 +1977,45,1,MVA,21-24 yrs,119,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,49.802879333496094 +1977,45,1,suicide,21-24 yrs,44,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,18.41451072692871 +1977,45,1,homicide,21-24 yrs,50,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,20.925580978393555 +1977,45,1,other external,21-24 yrs,65,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,27.20325469970703 +1977,45,1,internal,21-24 yrs,83,238942,22.448514938354492,1,1.2706270217895508,1.1699999570846558,0.17000000178813934,1.1399999856948853,2.490000009536743,34.7364616394043 +1978,45,1,MVA,15-17 yrs,97,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,52.62358474731445 +1978,45,1,suicide,15-17 yrs,10,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,5.425111770629883 +1978,45,1,homicide,15-17 yrs,7,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,3.7975783348083496 +1978,45,1,other external,15-17 yrs,32,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.3603572845459 +1978,45,1,internal,15-17 yrs,30,184328,16.008256912231445,0,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,16.27533531188965 +1978,45,1,all,18-20 yrs,240,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,120.83435821533203 +1978,45,1,MVA,18-20 yrs,112,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,56.38936996459961 +1978,45,1,suicide,18-20 yrs,25,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,12.586912155151367 +1978,45,1,homicide,18-20 yrs,18,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,9.062577247619629 +1978,45,1,other external,18-20 yrs,41,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,20.642536163330078 +1978,45,1,internal,18-20 yrs,44,198619,19.009077072143555,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,22.152965545654297 +1978,45,1,all,21-24 yrs,327,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,134.11697387695312 +1978,45,1,MVA,21-24 yrs,102,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,41.83465576171875 +1978,45,1,suicide,21-24 yrs,43,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.63617706298828 +1978,45,1,homicide,21-24 yrs,42,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,17.22603416442871 +1978,45,1,other external,21-24 yrs,51,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,20.917327880859375 +1978,45,1,internal,21-24 yrs,89,243817,22.446556091308594,1,1.1809816360473633,1.2000000476837158,0.17000000178813934,1.2100000381469727,2.5899999141693115,36.50278854370117 +1979,45,1,MVA,15-17 yrs,63,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,34.06583786010742 +1979,45,1,suicide,15-17 yrs,7,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,3.785093307495117 +1979,45,1,homicide,15-17 yrs,10,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,5.407276153564453 +1979,45,1,other external,15-17 yrs,33,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,17.844011306762695 +1979,45,1,internal,15-17 yrs,32,184936,16.003536224365234,0,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,17.30328369140625 +1979,45,1,all,18-20 yrs,238,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,119.27552795410156 +1979,45,1,MVA,18-20 yrs,106,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,53.12271499633789 +1979,45,1,suicide,18-20 yrs,26,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,13.030099868774414 +1979,45,1,homicide,18-20 yrs,24,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,12.02778434753418 +1979,45,1,other external,18-20 yrs,41,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,20.54746437072754 +1979,45,1,internal,18-20 yrs,41,199538,19.006790161132812,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,20.54746437072754 +1979,45,1,all,21-24 yrs,322,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,130.60972595214844 +1979,45,1,MVA,21-24 yrs,118,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,47.86319351196289 +1979,45,1,suicide,21-24 yrs,29,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,11.762988090515137 +1979,45,1,homicide,21-24 yrs,48,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,19.469772338867188 +1979,45,1,other external,21-24 yrs,59,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,23.931596755981445 +1979,45,1,internal,21-24 yrs,68,246536,22.45070457458496,1,1.0606060028076172,1.25,0.17000000178813934,1.1799999475479126,2.5999999046325684,27.582178115844727 +1980,45,1,MVA,15-17 yrs,67,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,36.71836471557617 +1980,45,1,suicide,15-17 yrs,6,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,3.2882118225097656 +1980,45,1,homicide,15-17 yrs,8,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,4.384282112121582 +1980,45,1,other external,15-17 yrs,36,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,19.729270935058594 +1980,45,1,internal,15-17 yrs,26,182470,16.0208740234375,0,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,14.248917579650879 +1980,45,1,all,18-20 yrs,245,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,121.59713745117188 +1980,45,1,MVA,18-20 yrs,112,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,55.58726501464844 +1980,45,1,suicide,18-20 yrs,27,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,13.400501251220703 +1980,45,1,homicide,18-20 yrs,21,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,10.422612190246582 +1980,45,1,other external,18-20 yrs,38,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,18.85996437072754 +1980,45,1,internal,18-20 yrs,47,201485,19.014001846313477,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,23.326799392700195 +1980,45,1,all,21-24 yrs,366,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,146.9767303466797 +1980,45,1,MVA,21-24 yrs,122,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,48.992244720458984 +1980,45,1,suicide,21-24 yrs,26,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,10.440970420837402 +1980,45,1,homicide,21-24 yrs,61,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,24.496122360229492 +1980,45,1,other external,21-24 yrs,65,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,26.102426528930664 +1980,45,1,internal,21-24 yrs,92,249019,22.4613094329834,1,0.9344660043716431,1.2200000286102295,0.18000000715255737,1.059999942779541,2.4600000381469727,36.94497299194336 +1981,45,1,MVA,15-17 yrs,56,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,31.888845443725586 +1981,45,1,suicide,15-17 yrs,12,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,6.833323955535889 +1981,45,1,homicide,15-17 yrs,6,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,3.4166619777679443 +1981,45,1,other external,15-17 yrs,25,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,14.236091613769531 +1981,45,1,internal,15-17 yrs,31,175610,16.039844512939453,0,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,17.652753829956055 +1981,45,1,all,18-20 yrs,199,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,98.08995819091797 +1981,45,1,MVA,18-20 yrs,95,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,46.82686233520508 +1981,45,1,suicide,18-20 yrs,24,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,11.829944610595703 +1981,45,1,homicide,18-20 yrs,16,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,7.886629581451416 +1981,45,1,other external,18-20 yrs,27,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,13.308687210083008 +1981,45,1,internal,18-20 yrs,37,202875,19.03302001953125,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,18.237831115722656 +1981,45,1,all,21-24 yrs,336,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,130.47225952148438 +1981,45,1,MVA,21-24 yrs,132,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,51.256961822509766 +1981,45,1,suicide,21-24 yrs,35,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,13.590860366821289 +1981,45,1,homicide,21-24 yrs,42,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,16.309032440185547 +1981,45,1,other external,21-24 yrs,45,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,17.47396469116211 +1981,45,1,internal,21-24 yrs,82,257526,22.47157096862793,1,0.8470847010612488,1.25,0.1899999976158142,1.0499999523162842,2.490000009536743,31.841445922851562 +1982,45,1,MVA,15-17 yrs,60,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,35.900840759277344 +1982,45,1,suicide,15-17 yrs,11,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,6.581820964813232 +1982,45,1,homicide,15-17 yrs,4,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,2.3933894634246826 +1982,45,1,other external,15-17 yrs,24,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,14.360336303710938 +1982,45,1,internal,15-17 yrs,33,167127,16.036319732666016,0,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,19.74546241760254 +1982,45,1,all,18-20 yrs,197,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,99.1778793334961 +1982,45,1,MVA,18-20 yrs,72,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,36.24775314331055 +1982,45,1,suicide,18-20 yrs,25,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,12.58602523803711 +1982,45,1,homicide,18-20 yrs,17,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,8.558497428894043 +1982,45,1,other external,18-20 yrs,36,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,18.123876571655273 +1982,45,1,internal,18-20 yrs,47,198633,19.030508041381836,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,23.661727905273438 +1982,45,1,all,21-24 yrs,297,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,113.80400085449219 +1982,45,1,MVA,21-24 yrs,107,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,41.00009536743164 +1982,45,1,suicide,21-24 yrs,35,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,13.411246299743652 +1982,45,1,homicide,21-24 yrs,47,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,18.009387969970703 +1982,45,1,other external,21-24 yrs,46,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,17.626209259033203 +1982,45,1,internal,21-24 yrs,62,260975,22.468175888061523,1,0.7979274392127991,1.2400000095367432,0.20000000298023224,1,2.440000057220459,23.757064819335938 +1983,45,1,MVA,15-17 yrs,57,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,35.41670608520508 +1983,45,1,suicide,15-17 yrs,6,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,3.728074312210083 +1983,45,1,homicide,15-17 yrs,3,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,1.8640371561050415 +1983,45,1,other external,15-17 yrs,28,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,17.397680282592773 +1983,45,1,internal,15-17 yrs,28,160941,16.020492553710938,0,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,17.397680282592773 +1983,45,1,all,18-20 yrs,217,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,111.99595642089844 +1983,45,1,MVA,18-20 yrs,94,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,48.51437759399414 +1983,45,1,suicide,18-20 yrs,22,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.3544282913208 +1983,45,1,homicide,18-20 yrs,22,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.3544282913208 +1983,45,1,other external,18-20 yrs,39,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,20.128305435180664 +1983,45,1,internal,18-20 yrs,40,193757,19.036840438842773,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,20.6444149017334 +1983,45,1,all,21-24 yrs,313,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,119.66478729248047 +1983,45,1,MVA,21-24 yrs,128,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,48.936397552490234 +1983,45,1,suicide,21-24 yrs,31,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,11.851783752441406 +1983,45,1,homicide,21-24 yrs,33,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,12.616415023803711 +1983,45,1,other external,21-24 yrs,57,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,21.791990280151367 +1983,45,1,internal,21-24 yrs,64,261564,22.478334426879883,1,0.7730923891067505,1.2599999904632568,0.20000000298023224,1.0099999904632568,2.4700000286102295,24.468198776245117 +1984,45,0.6990699172019958,MVA,15-17 yrs,54,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,33.79351043701172 +1984,45,0.6990699172019958,suicide,15-17 yrs,8,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,5.00644588470459 +1984,45,0.6990699172019958,homicide,15-17 yrs,9,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,5.632251739501953 +1984,45,0.6990699172019958,other external,15-17 yrs,17,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,10.638697624206543 +1984,45,0.6990699172019958,internal,15-17 yrs,21,159794,16.000518798828125,0,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,13.14192008972168 +1984,45,0.6990699172019958,all,18-20 yrs,175,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,93.005950927734375 +1984,45,0.6990699172019958,MVA,18-20 yrs,80,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,42.517005920410156 +1984,45,0.6990699172019958,suicide,18-20 yrs,16,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,8.503401756286621 +1984,45,0.6990699172019958,homicide,18-20 yrs,17,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,9.034863471984863 +1984,45,0.6990699172019958,other external,18-20 yrs,27,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,14.34949016571045 +1984,45,0.6990699172019958,internal,18-20 yrs,35,188160,19.055320739746094,0.6990699172019958,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,18.6011905670166 +1984,45,0.6990699172019958,all,21-24 yrs,293,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,111.83377075195312 +1984,45,0.6990699172019958,MVA,21-24 yrs,135,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,51.527503967285156 +1984,45,0.6990699172019958,suicide,21-24 yrs,29,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,11.06887149810791 +1984,45,0.6990699172019958,homicide,21-24 yrs,19,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,7.252018928527832 +1984,45,0.6990699172019958,other external,21-24 yrs,56,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,21.374372482299805 +1984,45,0.6990699172019958,internal,21-24 yrs,54,261996,22.495615005493164,1,0.7410971522331238,1.2599999904632568,0.23999999463558197,1,2.5,20.61100196838379 +1985,45,0.3554985225200653,MVA,15-17 yrs,53,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,32.7803955078125 +1985,45,0.3554985225200653,suicide,15-17 yrs,15,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,9.277470588684082 +1985,45,0.3554985225200653,homicide,15-17 yrs,14,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,8.65897274017334 +1985,45,0.3554985225200653,other external,15-17 yrs,17,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,10.514466285705566 +1985,45,0.3554985225200653,internal,15-17 yrs,25,161682,15.99156379699707,0,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.462450981140137 +1985,45,0.3554985225200653,all,18-20 yrs,208,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,115.77037048339844 +1985,45,0.3554985225200653,MVA,18-20 yrs,115,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,64.007659912109375 +1985,45,0.3554985225200653,suicide,18-20 yrs,23,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.801531791687012 +1985,45,0.3554985225200653,homicide,18-20 yrs,20,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,11.131766319274902 +1985,45,0.3554985225200653,other external,18-20 yrs,28,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.584473609924316 +1985,45,0.3554985225200653,internal,18-20 yrs,22,179666,19.04930877685547,0.3554985225200653,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.244943618774414 +1985,45,0.3554985225200653,all,21-24 yrs,297,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,115.36265563964844 +1985,45,0.3554985225200653,MVA,21-24 yrs,129,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,50.10700988769531 +1985,45,0.3554985225200653,suicide,21-24 yrs,40,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,15.537057876586914 +1985,45,0.3554985225200653,homicide,21-24 yrs,33,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,12.818072319030762 +1985,45,0.3554985225200653,other external,21-24 yrs,37,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,14.37177848815918 +1985,45,0.3554985225200653,internal,21-24 yrs,58,257449,22.506927490234375,1,0.7156133651733398,1.2599999904632568,0.25,0.9900000095367432,2.490000009536743,22.52873420715332 +1986,45,0.23250889778137207,MVA,15-17 yrs,67,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,40.25232696533203 +1986,45,0.23250889778137207,suicide,15-17 yrs,9,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,5.407029151916504 +1986,45,0.23250889778137207,homicide,15-17 yrs,14,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,8.4109344482421875 +1986,45,0.23250889778137207,other external,15-17 yrs,32,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,19.224992752075195 +1986,45,0.23250889778137207,internal,15-17 yrs,28,166450,15.985112190246582,0,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,16.821868896484375 +1986,45,0.23250889778137207,all,18-20 yrs,200,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,114.1070556640625 +1986,45,0.23250889778137207,MVA,18-20 yrs,93,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,53.05978012084961 +1986,45,0.23250889778137207,suicide,18-20 yrs,19,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,10.840169906616211 +1986,45,0.23250889778137207,homicide,18-20 yrs,25,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,14.263381958007812 +1986,45,0.23250889778137207,other external,18-20 yrs,25,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,14.263381958007812 +1986,45,0.23250889778137207,internal,18-20 yrs,38,175274,19.03824234008789,0.23250889778137207,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,21.680339813232422 +1986,45,0.23250889778137207,all,21-24 yrs,325,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,128.46510314941406 +1986,45,0.23250889778137207,MVA,21-24 yrs,159,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,62.84907913208008 +1986,45,0.23250889778137207,suicide,21-24 yrs,33,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,13.044148445129395 +1986,45,0.23250889778137207,homicide,21-24 yrs,33,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,13.044148445129395 +1986,45,0.23250889778137207,other external,21-24 yrs,40,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,15.811089515686035 +1986,45,0.23250889778137207,internal,21-24 yrs,60,252987,22.509607315063477,1,0.7025547623634338,1.2999999523162842,0.27000001072883606,0.9200000166893005,2.5,23.716632843017578 +1987,45,0,MVA,15-17 yrs,71,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,42.561100006103516 +1987,45,0,suicide,15-17 yrs,19,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,11.3895902633667 +1987,45,0,homicide,15-17 yrs,6,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,3.596712589263916 +1987,45,0,other external,15-17 yrs,18,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,10.790138244628906 +1987,45,0,internal,15-17 yrs,20,166819,16.010459899902344,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,11.989042282104492 +1987,45,0,all,18-20 yrs,224,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,127.9451675415039 +1987,45,0,MVA,18-20 yrs,132,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,75.39625549316406 +1987,45,0,suicide,18-20 yrs,22,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,12.56604290008545 +1987,45,0,homicide,18-20 yrs,23,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,13.137227058410645 +1987,45,0,other external,18-20 yrs,16,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,9.138940811157227 +1987,45,0,internal,18-20 yrs,31,175075,19.019939422607422,0,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,17.706697463989258 +1987,45,0,all,21-24 yrs,329,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,134.41793823242188 +1987,45,0,MVA,21-24 yrs,142,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,58.01625442504883 +1987,45,0,suicide,21-24 yrs,31,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,12.665519714355469 +1987,45,0,homicide,21-24 yrs,39,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,15.934041023254395 +1987,45,0,other external,21-24 yrs,55,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,22.471084594726562 +1987,45,0,internal,21-24 yrs,62,244759,22.52243995666504,1,0.6778168678283691,1.340000033378601,0.27000001072883606,0.8799999952316284,2.490000009536743,25.331039428710938 +1988,45,0,MVA,15-17 yrs,76,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,46.3123779296875 +1988,45,0,suicide,15-17 yrs,11,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,6.7031073570251465 +1988,45,0,homicide,15-17 yrs,9,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,5.484360218048096 +1988,45,0,other external,15-17 yrs,20,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,12.187467575073242 +1988,45,0,internal,15-17 yrs,23,164103,16.03814125061035,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,14.01558780670166 +1988,45,0,all,18-20 yrs,200,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,112.84962463378906 +1988,45,0,MVA,18-20 yrs,100,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,56.42481231689453 +1988,45,0,suicide,18-20 yrs,19,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,10.720714569091797 +1988,45,0,homicide,18-20 yrs,32,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,18.055938720703125 +1988,45,0,other external,18-20 yrs,26,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,14.670451164245605 +1988,45,0,internal,18-20 yrs,23,177227,19.007848739624023,0,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,12.977706909179688 +1988,45,0,all,21-24 yrs,304,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,129.73931884765625 +1988,45,0,MVA,21-24 yrs,131,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,55.907405853271484 +1988,45,0,suicide,21-24 yrs,28,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,11.949674606323242 +1988,45,0,homicide,21-24 yrs,37,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,15.790641784667969 +1988,45,0,other external,21-24 yrs,45,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,19.204833984375 +1988,45,0,internal,21-24 yrs,63,234316,22.530317306518555,1,0.6508875489234924,1.3700000047683716,0.25999999046325684,0.8899999856948853,2.509999990463257,26.886768341064453 +1989,45,0,MVA,15-17 yrs,49,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,31.13245964050293 +1989,45,0,suicide,15-17 yrs,11,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,6.988919258117676 +1989,45,0,homicide,15-17 yrs,6,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,3.8121378421783447 +1989,45,0,other external,15-17 yrs,22,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,13.977838516235352 +1989,45,0,internal,15-17 yrs,24,157392,16.031139373779297,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,15.248551368713379 +1989,45,0,all,18-20 yrs,215,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,116.884033203125 +1989,45,0,MVA,18-20 yrs,98,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,53.277374267578125 +1989,45,0,suicide,18-20 yrs,20,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,10.872933387756348 +1989,45,0,homicide,18-20 yrs,29,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,15.765753746032715 +1989,45,0,other external,18-20 yrs,32,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,17.39669418334961 +1989,45,0,internal,18-20 yrs,36,183943,19.004518508911133,0,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,19.571279525756836 +1989,45,0,all,21-24 yrs,289,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,127.48125457763672 +1989,45,0,MVA,21-24 yrs,116,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,51.1689453125 +1989,45,0,suicide,21-24 yrs,39,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,17.203351974487305 +1989,45,0,homicide,21-24 yrs,29,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,12.792236328125 +1989,45,0,other external,21-24 yrs,41,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,18.085575103759766 +1989,45,0,internal,21-24 yrs,64,226700,22.51187515258789,1,0.6209677457809448,1.3700000047683716,0.23999999463558197,0.8600000143051147,2.4700000286102295,28.231142044067383 +1990,45,0,MVA,15-17 yrs,60,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,39.18930435180664 +1990,45,0,suicide,15-17 yrs,15,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,9.79732608795166 +1990,45,0,homicide,15-17 yrs,13,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,8.491015434265137 +1990,45,0,other external,15-17 yrs,16,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,10.450481414794922 +1990,45,0,internal,15-17 yrs,29,153103,16.02163314819336,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,18.941497802734375 +1990,45,0,all,18-20 yrs,204,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,109.46790313720703 +1990,45,0,MVA,18-20 yrs,110,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,59.02680969238281 +1990,45,0,suicide,18-20 yrs,23,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,12.34196949005127 +1990,45,0,homicide,18-20 yrs,23,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,12.34196949005127 +1990,45,0,other external,18-20 yrs,18,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,9.65893268585205 +1990,45,0,internal,18-20 yrs,30,186356,19.03474998474121,0,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,16.098220825195312 +1990,45,0,all,21-24 yrs,281,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,125.49237060546875 +1990,45,0,MVA,21-24 yrs,96,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,42.87283706665039 +1990,45,0,suicide,21-24 yrs,32,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,14.290946006774902 +1990,45,0,homicide,21-24 yrs,46,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,20.54323387145996 +1990,45,0,other external,21-24 yrs,42,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,18.756866455078125 +1990,45,0,internal,21-24 yrs,65,223918,22.474044799804688,1,0.5891354084014893,1.440000057220459,0.25,0.9200000166893005,2.609999895095825,29.028484344482422 +1991,45,0,MVA,15-17 yrs,49,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,32.31145477294922 +1991,45,0,suicide,15-17 yrs,11,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,7.253592014312744 +1991,45,0,homicide,15-17 yrs,15,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,9.89126205444336 +1991,45,0,other external,15-17 yrs,28,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,18.46368980407715 +1991,45,0,internal,15-17 yrs,17,151649,16.023521423339844,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,11.210097312927246 +1991,45,0,all,18-20 yrs,245,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,135.8025360107422 +1991,45,0,MVA,18-20 yrs,104,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,57.64678955078125 +1991,45,0,suicide,18-20 yrs,23,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,12.748809814453125 +1991,45,0,homicide,18-20 yrs,52,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,28.823394775390625 +1991,45,0,other external,18-20 yrs,25,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,13.857401847839355 +1991,45,0,internal,18-20 yrs,41,180409,19.067867279052734,0,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,22.726139068603516 +1991,45,0,all,21-24 yrs,288,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,125.05644989013672 +1991,45,0,MVA,21-24 yrs,98,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,42.553932189941406 +1991,45,0,suicide,21-24 yrs,34,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,14.763608932495117 +1991,45,0,homicide,21-24 yrs,60,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,26.05342674255371 +1991,45,0,other external,21-24 yrs,39,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,16.93472671508789 +1991,45,0,internal,21-24 yrs,57,230296,22.44466209411621,1,0.5653451085090637,1.340000033378601,0.2199999988079071,0.8399999737739563,2.4100000858306885,24.750755310058594 +1992,45,0,MVA,15-17 yrs,41,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,26.775684356689453 +1992,45,0,suicide,15-17 yrs,14,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,9.142916679382324 +1992,45,0,homicide,15-17 yrs,16,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,10.449048042297363 +1992,45,0,other external,15-17 yrs,21,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,13.714375495910645 +1992,45,0,internal,15-17 yrs,19,153124,16.012643814086914,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,12.408244132995605 +1992,45,0,all,18-20 yrs,200,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,117.0370864868164 +1992,45,0,MVA,18-20 yrs,81,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,47.400020599365234 +1992,45,0,suicide,18-20 yrs,22,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,12.874079704284668 +1992,45,0,homicide,18-20 yrs,33,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,19.311119079589844 +1992,45,0,other external,18-20 yrs,23,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,13.45926570892334 +1992,45,0,internal,18-20 yrs,41,170886,19.054855346679688,0,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,23.992603302001953 +1992,45,0,all,21-24 yrs,270,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,113.43155670166016 +1992,45,0,MVA,21-24 yrs,90,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,37.81052017211914 +1992,45,0,suicide,21-24 yrs,43,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,18.065025329589844 +1992,45,0,homicide,21-24 yrs,52,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,21.84607696533203 +1992,45,0,other external,21-24 yrs,27,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,11.343155860900879 +1992,45,0,internal,21-24 yrs,58,238029,22.434267044067383,1,0.5488239526748657,1.340000033378601,0.20000000298023224,0.7900000214576721,2.3299999237060547,24.366779327392578 +1993,45,0,MVA,15-17 yrs,43,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,27.8632755279541 +1993,45,0,suicide,15-17 yrs,20,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.959663391113281 +1993,45,0,homicide,15-17 yrs,22,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,14.255629539489746 +1993,45,0,other external,15-17 yrs,19,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.31167984008789 +1993,45,0,internal,15-17 yrs,20,154325,16.006149291992188,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.959663391113281 +1993,45,0,all,18-20 yrs,185,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,111.89403533935547 +1993,45,0,MVA,18-20 yrs,64,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,38.709285736083984 +1993,45,0,suicide,18-20 yrs,25,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,15.12081527709961 +1993,45,0,homicide,18-20 yrs,38,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,22.983638763427734 +1993,45,0,other external,18-20 yrs,21,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.701484680175781 +1993,45,0,internal,18-20 yrs,37,165335,19.026025772094727,0,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,22.378807067871094 +1993,45,0,all,21-24 yrs,295,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,123.15888214111328 +1993,45,0,MVA,21-24 yrs,95,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,39.66133499145508 +1993,45,0,suicide,21-24 yrs,37,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,15.447046279907227 +1993,45,0,homicide,21-24 yrs,64,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,26.719215393066406 +1993,45,0,other external,21-24 yrs,29,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,12.107144355773926 +1993,45,0,internal,21-24 yrs,70,239528,22.47895050048828,1,0.5328719615936279,1.3600000143051147,0.20000000298023224,0.75,2.299999952316284,29.224140167236328 +1994,45,0,MVA,15-17 yrs,50,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,31.643766403198242 +1994,45,0,suicide,15-17 yrs,8,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,5.063002586364746 +1994,45,0,homicide,15-17 yrs,23,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,14.556133270263672 +1994,45,0,other external,15-17 yrs,16,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,10.126005172729492 +1994,45,0,internal,15-17 yrs,22,158009,16.015100479125977,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,13.923257827758789 +1994,45,0,all,18-20 yrs,198,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,121.79069519042969 +1994,45,0,MVA,18-20 yrs,91,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,55.974510192871094 +1994,45,0,suicide,18-20 yrs,15,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,9.226567268371582 +1994,45,0,homicide,18-20 yrs,38,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,23.373971939086914 +1994,45,0,other external,18-20 yrs,19,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,11.686985969543457 +1994,45,0,internal,18-20 yrs,35,162574,19.023637771606445,0,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,21.528657913208008 +1994,45,0,all,21-24 yrs,288,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,122.94137573242188 +1994,45,0,MVA,21-24 yrs,96,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,40.9804573059082 +1994,45,0,suicide,21-24 yrs,43,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,18.3558292388916 +1994,45,0,homicide,21-24 yrs,45,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,19.2095890045166 +1994,45,0,other external,21-24 yrs,33,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,14.087032318115234 +1994,45,0,internal,21-24 yrs,71,234258,22.53670310974121,1,0.519568145275116,1.3799999952316284,0.17000000178813934,0.7400000095367432,2.2899999618530273,30.30846405029297 +1995,45,0,MVA,15-17 yrs,59,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,36.58393096923828 +1995,45,0,suicide,15-17 yrs,12,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,7.440799236297607 +1995,45,0,homicide,15-17 yrs,15,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,9.30099868774414 +1995,45,0,other external,15-17 yrs,14,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,8.68093204498291 +1995,45,0,internal,15-17 yrs,30,161273,16.003068923950195,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,18.60199737548828 +1995,45,0,all,18-20 yrs,167,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,101.85411071777344 +1995,45,0,MVA,18-20 yrs,73,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,44.52305603027344 +1995,45,0,suicide,18-20 yrs,18,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,10.978287696838379 +1995,45,0,homicide,18-20 yrs,23,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,14.027812004089355 +1995,45,0,other external,18-20 yrs,18,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,10.978287696838379 +1995,45,0,internal,18-20 yrs,35,163960,19.01030731201172,0,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,21.346670150756836 +1995,45,0,all,21-24 yrs,261,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,115.73252868652344 +1995,45,0,MVA,21-24 yrs,85,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,37.690670013427734 +1995,45,0,suicide,21-24 yrs,41,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,18.180206298828125 +1995,45,0,homicide,21-24 yrs,37,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,16.406526565551758 +1995,45,0,other external,21-24 yrs,25,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,11.085491180419922 +1995,45,0,internal,21-24 yrs,73,225520,22.557188034057617,1,0.5052493810653687,1.3799999952316284,0.18000000715255737,0.6700000166893005,2.2300000190734863,32.369632720947266 +1996,45,0,MVA,15-17 yrs,69,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,41.99711608886719 +1996,45,0,suicide,15-17 yrs,17,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,10.347115516662598 +1996,45,0,homicide,15-17 yrs,17,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,10.347115516662598 +1996,45,0,other external,15-17 yrs,23,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,13.999038696289062 +1996,45,0,internal,15-17 yrs,23,164297,16.011606216430664,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,13.999038696289062 +1996,45,0,all,18-20 yrs,184,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,111.24344635009766 +1996,45,0,MVA,18-20 yrs,73,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,44.13462829589844 +1996,45,0,suicide,18-20 yrs,27,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,16.323766708374023 +1996,45,0,homicide,18-20 yrs,26,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,15.719182968139648 +1996,45,0,other external,18-20 yrs,12,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,7.255007266998291 +1996,45,0,internal,18-20 yrs,46,165403,19.00221824645996,0,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,27.810861587524414 +1996,45,0,all,21-24 yrs,266,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,122.9949722290039 +1996,45,0,MVA,21-24 yrs,98,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,45.31393814086914 +1996,45,0,suicide,21-24 yrs,36,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,16.645936965942383 +1996,45,0,homicide,21-24 yrs,44,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,20.345033645629883 +1996,45,0,other external,21-24 yrs,16,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,7.398193836212158 +1996,45,0,internal,21-24 yrs,72,216269,22.522783279418945,1,0.4907584488391876,1.3899999856948853,0.20999999344348907,0.7099999785423279,2.309999942779541,33.291873931884766 +1970,46,0.6334497332572937,MVA,15-17 yrs,26,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,59.659027099609375 +1970,46,0.6334497332572937,suicide,15-17 yrs,3,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,6.883733749389648 +1970,46,0.6334497332572937,homicide,15-17 yrs,1,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,2.2945778369903564 +1970,46,0.6334497332572937,other external,15-17 yrs,9,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,20.651201248168945 +1970,46,0.6334497332572937,internal,15-17 yrs,14,43581,15.98758602142334,0,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,32.12409210205078 +1970,46,0.6334497332572937,all,18-20 yrs,61,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,158.9617919921875 +1970,46,0.6334497332572937,MVA,18-20 yrs,35,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,91.20758819580078 +1970,46,0.6334497332572937,suicide,18-20 yrs,4,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,10.423724174499512 +1970,46,0.6334497332572937,homicide,18-20 yrs,0,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,0 +1970,46,0.6334497332572937,other external,18-20 yrs,12,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,31.27117347717285 +1970,46,0.6334497332572937,internal,18-20 yrs,10,38374,18.941627502441406,0.6334497332572937,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,26.059310913085938 +1970,46,0.6334497332572937,all,21-24 yrs,55,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,148.2160186767578 +1970,46,0.6334497332572937,MVA,21-24 yrs,26,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,70.06575775146484 +1970,46,0.6334497332572937,suicide,21-24 yrs,2,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,5.389673233032227 +1970,46,0.6334497332572937,homicide,21-24 yrs,5,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,13.474183082580566 +1970,46,0.6334497332572937,other external,21-24 yrs,12,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,32.33803939819336 +1970,46,0.6334497332572937,internal,21-24 yrs,10,37108,22.337852478027344,1,0.33255735039711,0.9300000071525574,0.12999999523162842,0.8999999761581421,1.9700000286102295,26.948366165161133 +1971,46,0.6512255072593689,MVA,15-17 yrs,28,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,63.388572692871094 +1971,46,0.6512255072593689,suicide,15-17 yrs,6,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.58326530456543 +1971,46,0.6512255072593689,homicide,15-17 yrs,1,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.2638776302337646 +1971,46,0.6512255072593689,other external,15-17 yrs,6,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.58326530456543 +1971,46,0.6512255072593689,internal,15-17 yrs,14,44172,15.98922348022461,0,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,31.694286346435547 +1971,46,0.6512255072593689,all,18-20 yrs,63,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,157.2405548095703 +1971,46,0.6512255072593689,MVA,18-20 yrs,38,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,94.843505859375 +1971,46,0.6512255072593689,suicide,18-20 yrs,1,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.4958817958831787 +1971,46,0.6512255072593689,homicide,18-20 yrs,1,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,2.4958817958831787 +1971,46,0.6512255072593689,other external,18-20 yrs,11,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,27.454700469970703 +1971,46,0.6512255072593689,internal,18-20 yrs,12,40066,18.963634490966797,0.6512255072593689,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,29.950580596923828 +1971,46,0.6512255072593689,all,21-24 yrs,76,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,176.2972869873047 +1971,46,0.6512255072593689,MVA,21-24 yrs,35,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,81.189544677734375 +1971,46,0.6512255072593689,suicide,21-24 yrs,6,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,13.918207168579102 +1971,46,0.6512255072593689,homicide,21-24 yrs,0,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,0 +1971,46,0.6512255072593689,other external,21-24 yrs,22,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,51.03342819213867 +1971,46,0.6512255072593689,internal,21-24 yrs,13,43109,22.45728302001953,1,0.3185981512069702,0.9700000286102295,0.1599999964237213,0.9700000286102295,2.0999999046325684,30.156116485595703 +1972,46,0.82924884557724,MVA,15-17 yrs,40,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,89.29966735839844 +1972,46,0.82924884557724,suicide,15-17 yrs,2,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,4.4649834632873535 +1972,46,0.82924884557724,homicide,15-17 yrs,0,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,15-17 yrs,20,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,44.64983367919922 +1972,46,0.82924884557724,internal,15-17 yrs,6,44793,15.989060401916504,0,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,13.394949913024902 +1972,46,0.82924884557724,all,18-20 yrs,66,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,159.54747009277344 +1972,46,0.82924884557724,MVA,18-20 yrs,38,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,91.86066436767578 +1972,46,0.82924884557724,suicide,18-20 yrs,0,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,homicide,18-20 yrs,0,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,18-20 yrs,22,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,53.18248748779297 +1972,46,0.82924884557724,internal,18-20 yrs,6,41367,18.976768493652344,0.82924884557724,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,14.504315376281738 +1972,46,0.82924884557724,all,21-24 yrs,96,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,212.2860565185547 +1972,46,0.82924884557724,MVA,21-24 yrs,42,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,92.875152587890625 +1972,46,0.82924884557724,suicide,21-24 yrs,12,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,26.535757064819336 +1972,46,0.82924884557724,homicide,21-24 yrs,0,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,0 +1972,46,0.82924884557724,other external,21-24 yrs,34,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,75.18464660644531 +1972,46,0.82924884557724,internal,21-24 yrs,8,45222,22.456768035888672,1,0.30868959426879883,1.0199999809265137,0.1599999964237213,0.9100000262260437,2.0899999141693115,17.69050407409668 +1973,46,1,MVA,15-17 yrs,28,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,62.387203216552734 +1973,46,1,suicide,15-17 yrs,2,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,4.456228733062744 +1973,46,1,homicide,15-17 yrs,0,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,0 +1973,46,1,other external,15-17 yrs,10,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,22.281143188476562 +1973,46,1,internal,15-17 yrs,5,44881,15.996435165405273,0,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,11.140571594238281 +1973,46,1,all,18-20 yrs,67,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,160.13766479492188 +1973,46,1,MVA,18-20 yrs,40,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,95.60457611083984 +1973,46,1,suicide,18-20 yrs,4,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,9.560458183288574 +1973,46,1,homicide,18-20 yrs,2,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,4.780229091644287 +1973,46,1,other external,18-20 yrs,11,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,26.291259765625 +1973,46,1,internal,18-20 yrs,10,41839,18.977031707763672,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,23.90114402770996 +1973,46,1,all,21-24 yrs,71,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,152.65863037109375 +1973,46,1,MVA,21-24 yrs,36,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,77.40437316894531 +1973,46,1,suicide,21-24 yrs,3,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,6.450364589691162 +1973,46,1,homicide,21-24 yrs,6,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,12.900729179382324 +1973,46,1,other external,21-24 yrs,16,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,34.40194320678711 +1973,46,1,internal,21-24 yrs,10,46509,22.45782470703125,1,0.29061317443847656,1.0399999618530273,0.1599999964237213,1.0199999809265137,2.2100000381469727,21.5012149810791 +1974,46,1,MVA,15-17 yrs,26,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,58.28681564331055 +1974,46,1,suicide,15-17 yrs,2,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,4.483601093292236 +1974,46,1,homicide,15-17 yrs,1,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,2.241800546646118 +1974,46,1,other external,15-17 yrs,14,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,31.385208129882812 +1974,46,1,internal,15-17 yrs,7,44607,16.003250122070312,0,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,15.692604064941406 +1974,46,1,all,18-20 yrs,61,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,143.54629516601562 +1974,46,1,MVA,18-20 yrs,37,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,87.0690689086914 +1974,46,1,suicide,18-20 yrs,6,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,14.119308471679688 +1974,46,1,homicide,18-20 yrs,2,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,4.7064361572265625 +1974,46,1,other external,18-20 yrs,7,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,16.47252655029297 +1974,46,1,internal,18-20 yrs,9,42495,18.983104705810547,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,21.17896270751953 +1974,46,1,all,21-24 yrs,63,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,134.12530517578125 +1974,46,1,MVA,21-24 yrs,28,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,59.61124801635742 +1974,46,1,suicide,21-24 yrs,8,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,17.03178596496582 +1974,46,1,homicide,21-24 yrs,0,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,0 +1974,46,1,other external,21-24 yrs,11,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,23.418704986572266 +1974,46,1,internal,21-24 yrs,16,46971,22.447872161865234,1,0.2617287039756775,1.0700000524520874,0.1599999964237213,1.0099999904632568,2.240000009536743,34.06357192993164 +1975,46,1,MVA,15-17 yrs,25,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,56.308841705322266 +1975,46,1,suicide,15-17 yrs,1,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,2.2523536682128906 +1975,46,1,homicide,15-17 yrs,1,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,2.2523536682128906 +1975,46,1,other external,15-17 yrs,16,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,36.03765869140625 +1975,46,1,internal,15-17 yrs,8,44398,15.995135307312012,0,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,18.018829345703125 +1975,46,1,all,18-20 yrs,72,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,167.48080444335938 +1975,46,1,MVA,18-20 yrs,34,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,79.0881576538086 +1975,46,1,suicide,18-20 yrs,9,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,20.935100555419922 +1975,46,1,homicide,18-20 yrs,4,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,9.3044891357421875 +1975,46,1,other external,18-20 yrs,17,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,39.5440788269043 +1975,46,1,internal,18-20 yrs,8,42990,18.984996795654297,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,18.608978271484375 +1975,46,1,all,21-24 yrs,59,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,123.1527099609375 +1975,46,1,MVA,21-24 yrs,27,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,56.3580207824707 +1975,46,1,suicide,21-24 yrs,2,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,4.174668312072754 +1975,46,1,homicide,21-24 yrs,6,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,12.524003982543945 +1975,46,1,other external,21-24 yrs,14,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,29.22267723083496 +1975,46,1,internal,21-24 yrs,10,47908,22.44539451599121,1,0.2398369014263153,1.090000033378601,0.17000000178813934,1.0299999713897705,2.2799999713897705,20.873340606689453 +1976,46,1,MVA,15-17 yrs,25,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,56.09280014038086 +1976,46,1,suicide,15-17 yrs,0,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,0 +1976,46,1,homicide,15-17 yrs,2,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,4.487423896789551 +1976,46,1,other external,15-17 yrs,8,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,17.949695587158203 +1976,46,1,internal,15-17 yrs,8,44569,15.992281913757324,0,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,17.949695587158203 +1976,46,1,all,18-20 yrs,59,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,135.5355987548828 +1976,46,1,MVA,18-20 yrs,40,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,91.88854217529297 +1976,46,1,suicide,18-20 yrs,4,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,9.188854217529297 +1976,46,1,homicide,18-20 yrs,1,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,2.297213554382324 +1976,46,1,other external,18-20 yrs,6,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,13.783281326293945 +1976,46,1,internal,18-20 yrs,8,43531,18.99506187438965,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,18.377708435058594 +1976,46,1,all,21-24 yrs,62,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,125.98809051513672 +1976,46,1,MVA,21-24 yrs,26,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,52.833717346191406 +1976,46,1,suicide,21-24 yrs,12,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,24.38479232788086 +1976,46,1,homicide,21-24 yrs,2,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,4.064132213592529 +1976,46,1,other external,21-24 yrs,11,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,22.352725982666016 +1976,46,1,internal,21-24 yrs,11,49211,22.445327758789062,1,0.22677020728588104,1.1299999952316284,0.17000000178813934,1.059999942779541,2.369999885559082,22.352725982666016 +1977,46,1,MVA,15-17 yrs,15,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,33.88069534301758 +1977,46,1,suicide,15-17 yrs,1,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.2587130069732666 +1977,46,1,homicide,15-17 yrs,1,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.2587130069732666 +1977,46,1,other external,15-17 yrs,10,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,22.587129592895508 +1977,46,1,internal,15-17 yrs,3,44273,16.004043579101562,0,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,6.776138782501221 +1977,46,1,all,18-20 yrs,61,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,140.62103271484375 +1977,46,1,MVA,18-20 yrs,35,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,80.6842041015625 +1977,46,1,suicide,18-20 yrs,7,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,16.1368408203125 +1977,46,1,homicide,18-20 yrs,1,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,2.305262804031372 +1977,46,1,other external,18-20 yrs,11,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,25.357892990112305 +1977,46,1,internal,18-20 yrs,7,43379,19.004772186279297,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,16.1368408203125 +1977,46,1,all,21-24 yrs,77,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,153.7263641357422 +1977,46,1,MVA,21-24 yrs,38,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,75.864959716796875 +1977,46,1,suicide,21-24 yrs,5,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,9.982232093811035 +1977,46,1,homicide,21-24 yrs,3,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,5.9893388748168945 +1977,46,1,other external,21-24 yrs,13,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,25.95380210876465 +1977,46,1,internal,21-24 yrs,18,50089,22.441354751586914,1,0.2129245102405548,1.149999976158142,0.17000000178813934,1.059999942779541,2.380000114440918,35.93603515625 +1978,46,1,MVA,15-17 yrs,19,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,43.980464935302734 +1978,46,1,suicide,15-17 yrs,2,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,4.629522323608398 +1978,46,1,homicide,15-17 yrs,0,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,0 +1978,46,1,other external,15-17 yrs,7,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,16.20332908630371 +1978,46,1,internal,15-17 yrs,4,43201,16.013240814208984,0,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,9.259044647216797 +1978,46,1,all,18-20 yrs,52,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,120.06465148925781 +1978,46,1,MVA,18-20 yrs,25,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,57.723388671875 +1978,46,1,suicide,18-20 yrs,5,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,11.544677734375 +1978,46,1,homicide,18-20 yrs,3,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,6.926806926727295 +1978,46,1,other external,18-20 yrs,11,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,25.398290634155273 +1978,46,1,internal,18-20 yrs,8,43310,18.999422073364258,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,18.471485137939453 +1978,46,1,all,21-24 yrs,58,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,113.67645263671875 +1978,46,1,MVA,21-24 yrs,20,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,39.19877624511719 +1978,46,1,suicide,21-24 yrs,7,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,13.719572067260742 +1978,46,1,homicide,21-24 yrs,1,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,1.959938883781433 +1978,46,1,other external,21-24 yrs,18,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,35.278900146484375 +1978,46,1,internal,21-24 yrs,12,51022,22.4434757232666,1,0.19790223240852356,1.190000057220459,0.17000000178813934,1.0499999523162842,2.4200000762939453,23.51926612854004 +1979,46,1,MVA,15-17 yrs,24,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,57.67705535888672 +1979,46,1,suicide,15-17 yrs,6,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,14.41926383972168 +1979,46,1,homicide,15-17 yrs,3,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,7.20963191986084 +1979,46,1,other external,15-17 yrs,8,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,19.225685119628906 +1979,46,1,internal,15-17 yrs,11,41611,16.019128799438477,0,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,26.435317993164062 +1979,46,1,all,18-20 yrs,55,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,127.56581115722656 +1979,46,1,MVA,18-20 yrs,27,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,62.62321853637695 +1979,46,1,suicide,18-20 yrs,6,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,13.91627025604248 +1979,46,1,homicide,18-20 yrs,4,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,9.27751350402832 +1979,46,1,other external,18-20 yrs,8,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,18.55502700805664 +1979,46,1,internal,18-20 yrs,10,43115,18.998422622680664,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,23.193784713745117 +1979,46,1,all,21-24 yrs,78,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,152.16543579101562 +1979,46,1,MVA,21-24 yrs,38,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,74.13187408447266 +1979,46,1,suicide,21-24 yrs,9,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,17.55755043029785 +1979,46,1,homicide,21-24 yrs,1,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,1.9508388042449951 +1979,46,1,other external,21-24 yrs,18,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,35.1151008605957 +1979,46,1,internal,21-24 yrs,12,51260,22.451852798461914,1,0.17773038148880005,1.2300000190734863,0.17000000178813934,1.0399999618530273,2.440000057220459,23.410066604614258 +1980,46,1,MVA,15-17 yrs,28,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,71.22688293457031 +1980,46,1,suicide,15-17 yrs,5,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,12.719086647033691 +1980,46,1,homicide,15-17 yrs,3,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,7.631451606750488 +1980,46,1,other external,15-17 yrs,8,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,20.35053825378418 +1980,46,1,internal,15-17 yrs,4,39311,16.03421401977539,0,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,10.17526912689209 +1980,46,1,all,18-20 yrs,56,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,130.1236114501953 +1980,46,1,MVA,18-20 yrs,26,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,60.41453552246094 +1980,46,1,suicide,18-20 yrs,9,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,20.912723541259766 +1980,46,1,homicide,18-20 yrs,0,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,0 +1980,46,1,other external,18-20 yrs,11,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,25.559995651245117 +1980,46,1,internal,18-20 yrs,10,43036,19.017148971557617,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,23.236360549926758 +1980,46,1,all,21-24 yrs,63,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,120.46810150146484 +1980,46,1,MVA,21-24 yrs,32,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,61.190147399902344 +1980,46,1,suicide,21-24 yrs,5,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,9.56096076965332 +1980,46,1,homicide,21-24 yrs,4,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,7.648768424987793 +1980,46,1,other external,21-24 yrs,12,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,22.946306228637695 +1980,46,1,internal,21-24 yrs,10,52296,22.461660385131836,1,0.15659253299236298,1.2999999523162842,0.18000000715255737,1.0700000524520874,2.559999942779541,19.12192153930664 +1981,46,1,MVA,15-17 yrs,22,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,60.25581359863281 +1981,46,1,suicide,15-17 yrs,3,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,8.21670150756836 +1981,46,1,homicide,15-17 yrs,1,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,2.738900661468506 +1981,46,1,other external,15-17 yrs,5,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,13.694502830505371 +1981,46,1,internal,15-17 yrs,10,36511,16.052532196044922,0,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,27.389005661010742 +1981,46,1,all,18-20 yrs,44,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,105.28330993652344 +1981,46,1,MVA,18-20 yrs,24,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,57.4272575378418 +1981,46,1,suicide,18-20 yrs,5,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,11.964012145996094 +1981,46,1,homicide,18-20 yrs,3,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,7.178407192230225 +1981,46,1,other external,18-20 yrs,6,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,14.35681438446045 +1981,46,1,internal,18-20 yrs,6,41792,19.029191970825195,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,14.35681438446045 +1981,46,1,all,21-24 yrs,68,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,128.08920288085938 +1981,46,1,MVA,21-24 yrs,33,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,62.16094207763672 +1981,46,1,suicide,21-24 yrs,10,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,18.83664894104004 +1981,46,1,homicide,21-24 yrs,5,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,9.41832447052002 +1981,46,1,other external,21-24 yrs,8,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,15.069318771362305 +1981,46,1,internal,21-24 yrs,12,53088,22.46087646484375,1,0.17743709683418274,1.3200000524520874,0.1899999976158142,1.0499999523162842,2.559999942779541,22.603979110717773 +1982,46,1,MVA,15-17 yrs,8,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,23.652544021606445 +1982,46,1,suicide,15-17 yrs,6,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,17.739408493041992 +1982,46,1,homicide,15-17 yrs,3,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,8.869704246520996 +1982,46,1,other external,15-17 yrs,8,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,23.652544021606445 +1982,46,1,internal,15-17 yrs,2,33823,16.042869567871094,0,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,5.913136005401611 +1982,46,1,all,18-20 yrs,43,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,107.10905456542969 +1982,46,1,MVA,18-20 yrs,16,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,39.854530334472656 +1982,46,1,suicide,18-20 yrs,3,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,7.472724437713623 +1982,46,1,homicide,18-20 yrs,4,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,9.963632583618164 +1982,46,1,other external,18-20 yrs,12,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,29.890897750854492 +1982,46,1,internal,18-20 yrs,8,40146,19.02361297607422,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,19.927265167236328 +1982,46,1,all,21-24 yrs,60,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,111.66529846191406 +1982,46,1,MVA,21-24 yrs,30,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,55.83264923095703 +1982,46,1,suicide,21-24 yrs,10,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,18.610883712768555 +1982,46,1,homicide,21-24 yrs,4,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,7.4443535804748535 +1982,46,1,other external,21-24 yrs,7,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,13.027618408203125 +1982,46,1,internal,21-24 yrs,9,53732,22.465606689453125,1,0.16714023053646088,1.2899999618530273,0.18000000715255737,0.9800000190734863,2.450000047683716,16.74979591369629 +1983,46,1,MVA,15-17 yrs,11,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,34.42771911621094 +1983,46,1,suicide,15-17 yrs,6,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,18.77875518798828 +1983,46,1,homicide,15-17 yrs,1,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,3.1297924518585205 +1983,46,1,other external,15-17 yrs,2,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,6.259584903717041 +1983,46,1,internal,15-17 yrs,10,31951,16.0242862701416,0,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,31.297924041748047 +1983,46,1,all,18-20 yrs,36,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,93.68656921386719 +1983,46,1,MVA,18-20 yrs,13,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,33.831260681152344 +1983,46,1,suicide,18-20 yrs,6,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,15.61442756652832 +1983,46,1,homicide,18-20 yrs,0,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,0 +1983,46,1,other external,18-20 yrs,9,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,23.421642303466797 +1983,46,1,internal,18-20 yrs,8,38426,19.042783737182617,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,20.819236755371094 +1983,46,1,all,21-24 yrs,45,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,84.12944793701172 +1983,46,1,MVA,21-24 yrs,21,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,39.26041030883789 +1983,46,1,suicide,21-24 yrs,5,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,9.347716331481934 +1983,46,1,homicide,21-24 yrs,2,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,3.739086627960205 +1983,46,1,other external,21-24 yrs,10,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,18.695432662963867 +1983,46,1,internal,21-24 yrs,7,53489,22.48858642578125,1,0.16193807125091553,1.2999999523162842,0.17000000178813934,0.949999988079071,2.430000066757202,13.08680248260498 +1984,46,0.8492276668548584,MVA,15-17 yrs,12,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,38.133975982666016 +1984,46,0.8492276668548584,suicide,15-17 yrs,5,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,15.88915729522705 +1984,46,0.8492276668548584,homicide,15-17 yrs,0,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,0 +1984,46,0.8492276668548584,other external,15-17 yrs,6,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,19.066987991333008 +1984,46,0.8492276668548584,internal,15-17 yrs,3,31468,16.00009536743164,0,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,9.533493995666504 +1984,46,0.8492276668548584,all,18-20 yrs,44,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,121.98503112792969 +1984,46,0.8492276668548584,MVA,18-20 yrs,19,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,52.67535400390625 +1984,46,0.8492276668548584,suicide,18-20 yrs,6,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,16.634321212768555 +1984,46,0.8492276668548584,homicide,18-20 yrs,3,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,8.317160606384277 +1984,46,0.8492276668548584,other external,18-20 yrs,11,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,30.496257781982422 +1984,46,0.8492276668548584,internal,18-20 yrs,5,36070,19.060077667236328,0.8492276668548584,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,13.861934661865234 +1984,46,0.8492276668548584,all,21-24 yrs,46,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,87.12781524658203 +1984,46,0.8492276668548584,MVA,21-24 yrs,22,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,41.669822692871094 +1984,46,0.8492276668548584,suicide,21-24 yrs,11,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,20.834911346435547 +1984,46,0.8492276668548584,homicide,21-24 yrs,0,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,0 +1984,46,0.8492276668548584,other external,21-24 yrs,7,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,13.258580207824707 +1984,46,0.8492276668548584,internal,21-24 yrs,6,52796,22.511554718017578,1,0.1552361100912094,1.2699999809265137,0.17000000178813934,0.8899999856948853,2.3299999237060547,11.364497184753418 +1985,46,0.6924275755882263,MVA,15-17 yrs,10,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,31.546735763549805 +1985,46,0.6924275755882263,suicide,15-17 yrs,5,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,15.773367881774902 +1985,46,0.6924275755882263,homicide,15-17 yrs,0,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,0 +1985,46,0.6924275755882263,other external,15-17 yrs,4,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,12.618694305419922 +1985,46,0.6924275755882263,internal,15-17 yrs,5,31699,15.983627319335938,0,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,15.773367881774902 +1985,46,0.6924275755882263,all,18-20 yrs,29,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,86.90180206298828 +1985,46,0.6924275755882263,MVA,18-20 yrs,8,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,23.972909927368164 +1985,46,0.6924275755882263,suicide,18-20 yrs,5,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,14.98306941986084 +1985,46,0.6924275755882263,homicide,18-20 yrs,4,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,11.986454963684082 +1985,46,0.6924275755882263,other external,18-20 yrs,8,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,23.972909927368164 +1985,46,0.6924275755882263,internal,18-20 yrs,4,33371,19.049863815307617,0.6924275755882263,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,11.986454963684082 +1985,46,0.6924275755882263,all,21-24 yrs,58,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,113.77010345458984 +1985,46,0.6924275755882263,MVA,21-24 yrs,24,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,47.07728576660156 +1985,46,0.6924275755882263,suicide,21-24 yrs,11,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,21.577089309692383 +1985,46,0.6924275755882263,homicide,21-24 yrs,2,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,3.923107147216797 +1985,46,0.6924275755882263,other external,21-24 yrs,10,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,19.615535736083984 +1985,46,0.6924275755882263,internal,21-24 yrs,11,50980,22.52079200744629,1,0.14989806711673737,1.2200000286102295,0.18000000715255737,0.9399999976158142,2.3399999141693115,21.577089309692383 +1986,46,0.6819666028022766,MVA,15-17 yrs,7,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,21.651716232299805 +1986,46,0.6819666028022766,suicide,15-17 yrs,11,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,34.02412796020508 +1986,46,0.6819666028022766,homicide,15-17 yrs,1,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,3.09310245513916 +1986,46,0.6819666028022766,other external,15-17 yrs,5,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,15.4655122756958 +1986,46,0.6819666028022766,internal,15-17 yrs,7,32330,15.978719711303711,0,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,21.651716232299805 +1986,46,0.6819666028022766,all,18-20 yrs,38,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,121.63113403320312 +1986,46,0.6819666028022766,MVA,18-20 yrs,14,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,44.81147003173828 +1986,46,0.6819666028022766,suicide,18-20 yrs,10,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,32.00819396972656 +1986,46,0.6819666028022766,homicide,18-20 yrs,0,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,0 +1986,46,0.6819666028022766,other external,18-20 yrs,5,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,16.00409698486328 +1986,46,0.6819666028022766,internal,18-20 yrs,9,31242,19.028583526611328,0.6819666028022766,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,28.807374954223633 +1986,46,0.6819666028022766,all,21-24 yrs,54,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,113.01799774169922 +1986,46,0.6819666028022766,MVA,21-24 yrs,22,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,46.044368743896484 +1986,46,0.6819666028022766,suicide,21-24 yrs,12,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,25.115110397338867 +1986,46,0.6819666028022766,homicide,21-24 yrs,7,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,14.650481224060059 +1986,46,0.6819666028022766,other external,21-24 yrs,6,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,12.557555198669434 +1986,46,0.6819666028022766,internal,21-24 yrs,7,47780,22.530284881591797,1,0.14716270565986633,1.2200000286102295,0.1899999976158142,0.8100000023841858,2.2300000190734863,14.650481224060059 +1987,46,0.6698997616767883,MVA,15-17 yrs,9,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,28.222013473510742 +1987,46,0.6698997616767883,suicide,15-17 yrs,4,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,12.543116569519043 +1987,46,0.6698997616767883,homicide,15-17 yrs,1,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.1357791423797607 +1987,46,0.6698997616767883,other external,15-17 yrs,1,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.1357791423797607 +1987,46,0.6698997616767883,internal,15-17 yrs,7,31890,16.014768600463867,0,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,21.950454711914062 +1987,46,0.6698997616767883,all,18-20 yrs,36,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,117.56637573242188 +1987,46,0.6698997616767883,MVA,18-20 yrs,15,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,48.98598861694336 +1987,46,0.6698997616767883,suicide,18-20 yrs,8,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,26.12586212158203 +1987,46,0.6698997616767883,homicide,18-20 yrs,1,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,3.265732765197754 +1987,46,0.6698997616767883,other external,18-20 yrs,5,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,16.328662872314453 +1987,46,0.6698997616767883,internal,18-20 yrs,7,30621,19.005159378051758,0.6698997616767883,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,22.86012840270996 +1987,46,0.6698997616767883,all,21-24 yrs,34,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,75.8014907836914 +1987,46,0.6698997616767883,MVA,21-24 yrs,17,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,37.9007453918457 +1987,46,0.6698997616767883,suicide,21-24 yrs,10,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,22.2945556640625 +1987,46,0.6698997616767883,homicide,21-24 yrs,2,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,4.458910942077637 +1987,46,0.6698997616767883,other external,21-24 yrs,3,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,6.688366889953613 +1987,46,0.6698997616767883,internal,21-24 yrs,2,44854,22.553329467773438,1,0.24136756360530853,1.2400000095367432,0.1899999976158142,0.7900000214576721,2.2200000286102295,4.458910942077637 +1988,46,0.16567519307136536,MVA,15-17 yrs,12,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,38.55421829223633 +1988,46,0.16567519307136536,suicide,15-17 yrs,7,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,22.489959716796875 +1988,46,0.16567519307136536,homicide,15-17 yrs,1,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,3.2128515243530273 +1988,46,0.16567519307136536,other external,15-17 yrs,6,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,19.277109146118164 +1988,46,0.16567519307136536,internal,15-17 yrs,0,31125,16.035083770751953,0,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,0 +1988,46,0.16567519307136536,all,18-20 yrs,35,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,113.76564025878906 +1988,46,0.16567519307136536,MVA,18-20 yrs,18,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,58.5080451965332 +1988,46,0.16567519307136536,suicide,18-20 yrs,5,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,16.252235412597656 +1988,46,0.16567519307136536,homicide,18-20 yrs,4,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,13.001788139343262 +1988,46,0.16567519307136536,other external,18-20 yrs,5,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,16.252235412597656 +1988,46,0.16567519307136536,internal,18-20 yrs,3,30765,18.99008560180664,0.16567519307136536,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,9.751340866088867 +1988,46,0.16567519307136536,all,21-24 yrs,46,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,110.2324447631836 +1988,46,0.16567519307136536,MVA,21-24 yrs,18,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,43.134437561035156 +1988,46,0.16567519307136536,suicide,21-24 yrs,9,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,21.567218780517578 +1988,46,0.16567519307136536,homicide,21-24 yrs,8,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,19.170860290527344 +1988,46,0.16567519307136536,other external,21-24 yrs,5,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,11.98178768157959 +1988,46,0.16567519307136536,internal,21-24 yrs,6,41730,22.556745529174805,1,0.23177814483642578,1.2100000381469727,0.1599999964237213,0.7599999904632568,2.130000114440918,14.378145217895508 +1989,46,0,MVA,15-17 yrs,8,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,26.678226470947266 +1989,46,0,suicide,15-17 yrs,6,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.008670806884766 +1989,46,0,homicide,15-17 yrs,0,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,0 +1989,46,0,other external,15-17 yrs,1,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,3.334778308868408 +1989,46,0,internal,15-17 yrs,3,29987,16.00690269470215,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,10.004335403442383 +1989,46,0,all,18-20 yrs,42,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,134.3140411376953 +1989,46,0,MVA,18-20 yrs,20,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,63.95906448364258 +1989,46,0,suicide,18-20 yrs,8,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,25.58362579345703 +1989,46,0,homicide,18-20 yrs,0,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,0 +1989,46,0,other external,18-20 yrs,8,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,25.58362579345703 +1989,46,0,internal,18-20 yrs,6,31270,18.987239837646484,0,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,19.187719345092773 +1989,46,0,all,21-24 yrs,39,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,100.79863739013672 +1989,46,0,MVA,21-24 yrs,16,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,41.35328674316406 +1989,46,0,suicide,21-24 yrs,8,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.67664337158203 +1989,46,0,homicide,21-24 yrs,1,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,2.584580421447754 +1989,46,0,other external,21-24 yrs,8,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,20.67664337158203 +1989,46,0,internal,21-24 yrs,6,38691,22.52585792541504,1,0.2211238294839859,1.25,0.15000000596046448,0.699999988079071,2.0899999141693115,15.507482528686523 +1990,46,0,MVA,15-17 yrs,13,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,43.41582489013672 +1990,46,0,suicide,15-17 yrs,6,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,20.03807258605957 +1990,46,0,homicide,15-17 yrs,0,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,0 +1990,46,0,other external,15-17 yrs,8,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,26.717430114746094 +1990,46,0,internal,15-17 yrs,5,29943,15.986040115356445,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,16.698392868041992 +1990,46,0,all,18-20 yrs,40,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,128.15994262695312 +1990,46,0,MVA,18-20 yrs,19,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,60.875972747802734 +1990,46,0,suicide,18-20 yrs,8,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,25.631988525390625 +1990,46,0,homicide,18-20 yrs,1,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,3.203998565673828 +1990,46,0,other external,18-20 yrs,3,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,9.611995697021484 +1990,46,0,internal,18-20 yrs,9,31211,19.018102645874023,0,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,28.835987091064453 +1990,46,0,all,21-24 yrs,34,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,91.659027099609375 +1990,46,0,MVA,21-24 yrs,9,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,24.262683868408203 +1990,46,0,suicide,21-24 yrs,14,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,37.74195098876953 +1990,46,0,homicide,21-24 yrs,3,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,8.08756160736084 +1990,46,0,other external,21-24 yrs,2,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,5.391707420349121 +1990,46,0,internal,21-24 yrs,6,37094,22.48150634765625,1,0.2097885012626648,1.3600000143051147,0.18000000715255737,0.800000011920929,2.3399999141693115,16.17512321472168 +1991,46,0,MVA,15-17 yrs,6,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,19.45777702331543 +1991,46,0,suicide,15-17 yrs,5,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,16.214813232421875 +1991,46,0,homicide,15-17 yrs,0,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,0 +1991,46,0,other external,15-17 yrs,3,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,9.728888511657715 +1991,46,0,internal,15-17 yrs,7,30836,15.987092971801758,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,22.70073890686035 +1991,46,0,all,18-20 yrs,27,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,87.62535095214844 +1991,46,0,MVA,18-20 yrs,8,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,25.96306800842285 +1991,46,0,suicide,18-20 yrs,9,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,29.208450317382812 +1991,46,0,homicide,18-20 yrs,2,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,6.490767002105713 +1991,46,0,other external,18-20 yrs,4,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,12.981534004211426 +1991,46,0,internal,18-20 yrs,4,30813,19.032583236694336,0,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,12.981534004211426 +1991,46,0,all,21-24 yrs,57,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,151.72891235351562 +1991,46,0,MVA,21-24 yrs,23,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,61.22394561767578 +1991,46,0,suicide,21-24 yrs,13,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,34.60483932495117 +1991,46,0,homicide,21-24 yrs,2,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,5.323821544647217 +1991,46,0,other external,21-24 yrs,9,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,23.957197189331055 +1991,46,0,internal,21-24 yrs,10,37567,22.45121955871582,1,0.20131686329841614,1.3700000047683716,0.15000000596046448,0.7599999904632568,2.2699999809265137,26.61910629272461 +1992,46,0,MVA,15-17 yrs,10,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,30.758819580078125 +1992,46,0,suicide,15-17 yrs,6,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,18.455291748046875 +1992,46,0,homicide,15-17 yrs,1,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,3.0758819580078125 +1992,46,0,other external,15-17 yrs,4,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,12.30352783203125 +1992,46,0,internal,15-17 yrs,4,32511,15.982159614562988,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,12.30352783203125 +1992,46,0,all,18-20 yrs,35,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,115.29466247558594 +1992,46,0,MVA,18-20 yrs,19,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,62.588531494140625 +1992,46,0,suicide,18-20 yrs,8,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,26.353065490722656 +1992,46,0,homicide,18-20 yrs,0,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,0 +1992,46,0,other external,18-20 yrs,7,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,23.058931350708008 +1992,46,0,internal,18-20 yrs,1,30357,19.013076782226562,0,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,3.294133186340332 +1992,46,0,all,21-24 yrs,35,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,91.2337417602539 +1992,46,0,MVA,21-24 yrs,14,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,36.49349594116211 +1992,46,0,suicide,21-24 yrs,9,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,23.46010398864746 +1992,46,0,homicide,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1992,46,0,other external,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1992,46,0,internal,21-24 yrs,4,38363,22.434402465820312,1,0.19543375074863434,1.3700000047683716,0.15000000596046448,0.7400000095367432,2.259999990463257,10.426712989807129 +1993,46,0,MVA,15-17 yrs,12,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,35.741943359375 +1993,46,0,suicide,15-17 yrs,5,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,14.892476081848145 +1993,46,0,homicide,15-17 yrs,2,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.956990718841553 +1993,46,0,other external,15-17 yrs,3,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,8.93548583984375 +1993,46,0,internal,15-17 yrs,2,33574,15.983856201171875,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.956990718841553 +1993,46,0,all,18-20 yrs,30,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,96.2525634765625 +1993,46,0,MVA,18-20 yrs,11,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,35.292606353759766 +1993,46,0,suicide,18-20 yrs,7,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,22.458932876586914 +1993,46,0,homicide,18-20 yrs,2,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,6.416837692260742 +1993,46,0,other external,18-20 yrs,6,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,19.250513076782227 +1993,46,0,internal,18-20 yrs,4,31168,18.98771095275879,0,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,12.833675384521484 +1993,46,0,all,21-24 yrs,49,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,125.68292236328125 +1993,46,0,MVA,21-24 yrs,18,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,46.16923522949219 +1993,46,0,suicide,21-24 yrs,12,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,30.779491424560547 +1993,46,0,homicide,21-24 yrs,2,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,5.129915237426758 +1993,46,0,other external,21-24 yrs,8,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,20.51966094970703 +1993,46,0,internal,21-24 yrs,9,38987,22.46397590637207,1,0.18975332379341125,1.350000023841858,0.11999999731779099,0.7300000190734863,2.200000047683716,23.084617614746094 +1994,46,0,MVA,15-17 yrs,18,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,51.4344482421875 +1994,46,0,suicide,15-17 yrs,6,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,17.144817352294922 +1994,46,0,homicide,15-17 yrs,0,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,0 +1994,46,0,other external,15-17 yrs,4,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,11.429877281188965 +1994,46,0,internal,15-17 yrs,8,34996,15.99102783203125,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,22.85975456237793 +1994,46,0,all,18-20 yrs,35,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,108.45651245117188 +1994,46,0,MVA,18-20 yrs,21,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,65.07390594482422 +1994,46,0,suicide,18-20 yrs,8,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,24.79006004333496 +1994,46,0,homicide,18-20 yrs,0,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,0 +1994,46,0,other external,18-20 yrs,2,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,6.19751501083374 +1994,46,0,internal,18-20 yrs,4,32271,18.987667083740234,0,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,12.39503002166748 +1994,46,0,all,21-24 yrs,49,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,125.39987182617188 +1994,46,0,MVA,21-24 yrs,18,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,46.06525802612305 +1994,46,0,suicide,21-24 yrs,15,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,38.38771438598633 +1994,46,0,homicide,21-24 yrs,3,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,7.6775431632995605 +1994,46,0,other external,21-24 yrs,8,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,20.473447799682617 +1994,46,0,internal,21-24 yrs,5,39075,22.493947982788086,1,0.18501590192317963,1.3799999952316284,0.11999999731779099,0.7300000190734863,2.240000009536743,12.795905113220215 +1995,46,0,MVA,15-17 yrs,10,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,27.452163696289062 +1995,46,0,suicide,15-17 yrs,7,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,19.216514587402344 +1995,46,0,homicide,15-17 yrs,0,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,0 +1995,46,0,other external,15-17 yrs,7,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,19.216514587402344 +1995,46,0,internal,15-17 yrs,3,36427,15.98026180267334,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,8.235649108886719 +1995,46,0,all,18-20 yrs,24,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,71.04375457763672 +1995,46,0,MVA,18-20 yrs,9,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,26.641407012939453 +1995,46,0,suicide,18-20 yrs,5,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,14.80078125 +1995,46,0,homicide,18-20 yrs,0,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,0 +1995,46,0,other external,18-20 yrs,6,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,17.76093864440918 +1995,46,0,internal,18-20 yrs,4,33782,18.986886978149414,0,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,11.840624809265137 +1995,46,0,all,21-24 yrs,41,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,105.62382507324219 +1995,46,0,MVA,21-24 yrs,19,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,48.94762420654297 +1995,46,0,suicide,21-24 yrs,6,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,15.457144737243652 +1995,46,0,homicide,21-24 yrs,2,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,5.152381896972656 +1995,46,0,other external,21-24 yrs,8,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,20.609527587890625 +1995,46,0,internal,21-24 yrs,6,38817,22.490764617919922,1,0.17991703748703003,1.340000033378601,0.11999999731779099,0.7300000190734863,2.200000047683716,15.457144737243652 +1996,46,0,MVA,15-17 yrs,18,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,48.087196350097656 +1996,46,0,suicide,15-17 yrs,6,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,16.02906608581543 +1996,46,0,homicide,15-17 yrs,2,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.343021869659424 +1996,46,0,other external,15-17 yrs,5,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,13.357555389404297 +1996,46,0,internal,15-17 yrs,4,37432,16.001922607421875,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,10.686043739318848 +1996,46,0,all,18-20 yrs,32,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,92.07838439941406 +1996,46,0,MVA,18-20 yrs,15,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,43.1617431640625 +1996,46,0,suicide,18-20 yrs,8,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,23.019596099853516 +1996,46,0,homicide,18-20 yrs,2,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.754899024963379 +1996,46,0,other external,18-20 yrs,6,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,17.26469612121582 +1996,46,0,internal,18-20 yrs,1,34753,18.984634399414062,0,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,2.8774495124816895 +1996,46,0,all,21-24 yrs,28,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,72.41129302978516 +1996,46,0,MVA,21-24 yrs,13,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,33.619529724121094 +1996,46,0,suicide,21-24 yrs,8,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,20.688941955566406 +1996,46,0,homicide,21-24 yrs,1,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,2.586117744445801 +1996,46,0,other external,21-24 yrs,2,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,5.172235488891602 +1996,46,0,internal,21-24 yrs,4,38668,22.446001052856445,1,0.17475689947605133,1.3600000143051147,0.12999999523162842,0.6800000071525574,2.180000066757202,10.344470977783203 +1970,47,0,MVA,15-17 yrs,125,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,54.524436950683594 +1970,47,0,suicide,15-17 yrs,8,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,3.4895639419555664 +1970,47,0,homicide,15-17 yrs,8,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,3.4895639419555664 +1970,47,0,other external,15-17 yrs,49,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,21.373579025268555 +1970,47,0,internal,15-17 yrs,76,229255,15.975433349609375,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,33.15085983276367 +1970,47,0,all,18-20 yrs,349,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,158.56861877441406 +1970,47,0,MVA,18-20 yrs,165,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,74.96797180175781 +1970,47,0,suicide,18-20 yrs,16,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,7.2696213722229 +1970,47,0,homicide,18-20 yrs,24,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,10.904431343078613 +1970,47,0,other external,18-20 yrs,50,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,22.717565536499023 +1970,47,0,internal,18-20 yrs,94,220094,18.971284866333008,0,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,42.709022521972656 +1970,47,0,all,21-24 yrs,447,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,177.890625 +1970,47,0,MVA,21-24 yrs,191,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,76.01142883300781 +1970,47,0,suicide,21-24 yrs,27,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,10.745071411132812 +1970,47,0,homicide,21-24 yrs,46,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,18.30641746520996 +1970,47,0,other external,21-24 yrs,55,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,21.888107299804688 +1970,47,0,internal,21-24 yrs,128,251278,22.416973114013672,1,0.28267377614974976,0.8700000047683716,0.05999999865889549,0.5799999833106995,1.5199999809265137,50.939598083496094 +1971,47,0.6712328791618347,MVA,15-17 yrs,131,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,55.30623245239258 +1971,47,0.6712328791618347,suicide,15-17 yrs,10,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,4.2218499183654785 +1971,47,0.6712328791618347,homicide,15-17 yrs,14,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,5.910589694976807 +1971,47,0.6712328791618347,other external,15-17 yrs,55,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,23.220172882080078 +1971,47,0.6712328791618347,internal,15-17 yrs,77,236863,15.99039077758789,0,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,32.508243560791016 +1971,47,0.6712328791618347,all,18-20 yrs,364,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,163.19723510742188 +1971,47,0.6712328791618347,MVA,18-20 yrs,181,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,81.1502685546875 +1971,47,0.6712328791618347,suicide,18-20 yrs,19,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,8.518536567687988 +1971,47,0.6712328791618347,homicide,18-20 yrs,24,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,10.76025676727295 +1971,47,0.6712328791618347,other external,18-20 yrs,58,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,26.00395393371582 +1971,47,0.6712328791618347,internal,18-20 yrs,82,223043,19.00408935546875,0.6712328791618347,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,36.76420974731445 +1971,47,0.6712328791618347,all,21-24 yrs,470,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,166.93423461914062 +1971,47,0.6712328791618347,MVA,21-24 yrs,171,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,60.73564910888672 +1971,47,0.6712328791618347,suicide,21-24 yrs,30,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,10.655376434326172 +1971,47,0.6712328791618347,homicide,21-24 yrs,66,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,23.441829681396484 +1971,47,0.6712328791618347,other external,21-24 yrs,71,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,25.21772575378418 +1971,47,0.6712328791618347,internal,21-24 yrs,132,281548,22.523378372192383,1,0.2708084285259247,0.9399999976158142,0.10000000149011612,0.6000000238418579,1.6399999856948853,46.88365936279297 +1972,47,1,MVA,15-17 yrs,110,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,45.26451110839844 +1972,47,1,suicide,15-17 yrs,12,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,4.937946319580078 +1972,47,1,homicide,15-17 yrs,14,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,5.760937690734863 +1972,47,1,other external,15-17 yrs,66,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,27.15870475769043 +1972,47,1,internal,15-17 yrs,82,243016,15.988066673278809,0,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,33.74263381958008 +1972,47,1,all,18-20 yrs,390,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,171.91749572753906 +1972,47,1,MVA,18-20 yrs,194,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,85.51793670654297 +1972,47,1,suicide,18-20 yrs,30,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,13.224422454833984 +1972,47,1,homicide,18-20 yrs,32,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,14.106051445007324 +1972,47,1,other external,18-20 yrs,70,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,30.85698699951172 +1972,47,1,internal,18-20 yrs,64,226853,18.991456985473633,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,28.21210289001465 +1972,47,1,all,21-24 yrs,472,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,164.21160888671875 +1972,47,1,MVA,21-24 yrs,198,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,68.8853759765625 +1972,47,1,suicide,21-24 yrs,26,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,9.045555114746094 +1972,47,1,homicide,21-24 yrs,80,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,27.832475662231445 +1972,47,1,other external,21-24 yrs,76,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,26.440853118896484 +1972,47,1,internal,21-24 yrs,92,287434,22.480316162109375,1,0.26238617300987244,0.9700000286102295,0.10999999940395355,0.6299999952316284,1.7000000476837158,32.007347106933594 +1973,47,1,MVA,15-17 yrs,157,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,64.14263153076172 +1973,47,1,suicide,15-17 yrs,8,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,3.2684144973754883 +1973,47,1,homicide,15-17 yrs,17,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,6.945380687713623 +1973,47,1,other external,15-17 yrs,57,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,23.287452697753906 +1973,47,1,internal,15-17 yrs,74,244767,15.993986129760742,0,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,30.232833862304688 +1973,47,1,all,18-20 yrs,385,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,166.4742431640625 +1973,47,1,MVA,18-20 yrs,173,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,74.80531311035156 +1973,47,1,suicide,18-20 yrs,23,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,9.945215225219727 +1973,47,1,homicide,18-20 yrs,33,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,14.269221305847168 +1973,47,1,other external,18-20 yrs,63,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,27.241241455078125 +1973,47,1,internal,18-20 yrs,93,231267,18.976654052734375,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,40.213260650634766 +1973,47,1,all,21-24 yrs,475,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,161.58441162109375 +1973,47,1,MVA,21-24 yrs,155,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,52.72754669189453 +1973,47,1,suicide,21-24 yrs,41,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,13.947285652160645 +1973,47,1,homicide,21-24 yrs,64,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,21.771373748779297 +1973,47,1,other external,21-24 yrs,97,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,32.99723815917969 +1973,47,1,internal,21-24 yrs,118,293964,22.486297607421875,1,0.24702119827270508,1.0299999713897705,0.11999999731779099,0.6800000071525574,1.8300000429153442,40.140968322753906 +1974,47,1,MVA,15-17 yrs,145,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,58.580650329589844 +1974,47,1,suicide,15-17 yrs,12,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,4.848053932189941 +1974,47,1,homicide,15-17 yrs,11,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,4.44404935836792 +1974,47,1,other external,15-17 yrs,61,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,24.64427375793457 +1974,47,1,internal,15-17 yrs,50,247522,16.0015869140625,0,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,20.200223922729492 +1974,47,1,all,18-20 yrs,362,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,150.35595703125 +1974,47,1,MVA,18-20 yrs,156,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,64.794281005859375 +1974,47,1,suicide,18-20 yrs,24,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,9.968350410461426 +1974,47,1,homicide,18-20 yrs,41,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,17.029266357421875 +1974,47,1,other external,18-20 yrs,57,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,23.674833297729492 +1974,47,1,internal,18-20 yrs,84,240762,18.992141723632812,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,34.889225006103516 +1974,47,1,all,21-24 yrs,477,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,160.3436737060547 +1974,47,1,MVA,21-24 yrs,147,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,49.41408920288086 +1974,47,1,suicide,21-24 yrs,47,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,15.799062728881836 +1974,47,1,homicide,21-24 yrs,77,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,25.88357162475586 +1974,47,1,other external,21-24 yrs,79,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,26.555871963500977 +1974,47,1,internal,21-24 yrs,127,297486,22.504894256591797,1,0.22246941924095154,1.0700000524520874,0.10999999940395355,0.699999988079071,1.8799999952316284,42.69108581542969 +1975,47,1,MVA,15-17 yrs,123,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,49.42081069946289 +1975,47,1,suicide,15-17 yrs,15,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,6.026928424835205 +1975,47,1,homicide,15-17 yrs,17,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,6.83051872253418 +1975,47,1,other external,15-17 yrs,66,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,26.518484115600586 +1975,47,1,internal,15-17 yrs,69,248883,15.996150970458984,0,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,27.72386932373047 +1975,47,1,all,18-20 yrs,403,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,162.69615173339844 +1975,47,1,MVA,18-20 yrs,181,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,73.07196807861328 +1975,47,1,suicide,18-20 yrs,30,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,12.11137580871582 +1975,47,1,homicide,18-20 yrs,42,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,16.9559268951416 +1975,47,1,other external,18-20 yrs,72,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,29.067302703857422 +1975,47,1,internal,18-20 yrs,78,247701,18.99039077758789,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,31.489578247070312 +1975,47,1,all,21-24 yrs,443,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,146.26593017578125 +1975,47,1,MVA,21-24 yrs,131,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,43.2524528503418 +1975,47,1,suicide,21-24 yrs,51,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,16.838741302490234 +1975,47,1,homicide,21-24 yrs,73,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,24.10251235961914 +1975,47,1,other external,21-24 yrs,80,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,26.413711547851562 +1975,47,1,internal,21-24 yrs,108,302873,22.49691390991211,1,0.20386137068271637,1.090000033378601,0.11999999731779099,0.7200000286102295,1.9199999570846558,35.658512115478516 +1976,47,1,MVA,15-17 yrs,125,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,49.670387268066406 +1976,47,1,suicide,15-17 yrs,11,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,4.3709940910339355 +1976,47,1,homicide,15-17 yrs,13,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,5.165720462799072 +1976,47,1,other external,15-17 yrs,47,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,18.67606544494629 +1976,47,1,internal,15-17 yrs,74,251659,15.997241973876953,0,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,29.404869079589844 +1976,47,1,all,18-20 yrs,369,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,145.78065490722656 +1976,47,1,MVA,18-20 yrs,165,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,65.18647003173828 +1976,47,1,suicide,18-20 yrs,32,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,12.64222526550293 +1976,47,1,homicide,18-20 yrs,39,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,15.40771198272705 +1976,47,1,other external,18-20 yrs,59,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,23.30910301208496 +1976,47,1,internal,18-20 yrs,74,253120,18.996065139770508,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,29.235145568847656 +1976,47,1,all,21-24 yrs,434,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,140.63238525390625 +1976,47,1,MVA,21-24 yrs,141,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,45.689327239990234 +1976,47,1,suicide,21-24 yrs,45,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,14.58169937133789 +1976,47,1,homicide,21-24 yrs,59,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,19.118228912353516 +1976,47,1,other external,21-24 yrs,89,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,28.8393611907959 +1976,47,1,internal,21-24 yrs,100,308606,22.473173141479492,1,0.19275468587875366,1.059999942779541,0.10999999940395355,0.7400000095367432,1.909999966621399,32.403778076171875 +1977,47,1,MVA,15-17 yrs,117,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,46.19047164916992 +1977,47,1,suicide,15-17 yrs,16,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,6.316645622253418 +1977,47,1,homicide,15-17 yrs,17,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,6.711435794830322 +1977,47,1,other external,15-17 yrs,37,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,14.607242584228516 +1977,47,1,internal,15-17 yrs,62,253299,16.00304412841797,0,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,24.477001190185547 +1977,47,1,all,18-20 yrs,372,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,144.1865997314453 +1977,47,1,MVA,18-20 yrs,170,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,65.89173126220703 +1977,47,1,suicide,18-20 yrs,27,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,10.465156555175781 +1977,47,1,homicide,18-20 yrs,37,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,14.341140747070312 +1977,47,1,other external,18-20 yrs,73,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,28.2946834564209 +1977,47,1,internal,18-20 yrs,65,257999,19.003917694091797,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,25.19389533996582 +1977,47,1,all,21-24 yrs,481,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,152.4375762939453 +1977,47,1,MVA,21-24 yrs,177,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,56.0944938659668 +1977,47,1,suicide,21-24 yrs,49,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,15.528984069824219 +1977,47,1,homicide,21-24 yrs,67,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,21.233509063720703 +1977,47,1,other external,21-24 yrs,86,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,27.25495147705078 +1977,47,1,internal,21-24 yrs,102,315539,22.461668014526367,1,0.18098583817481995,1.100000023841858,0.10000000149011612,0.7099999785423279,1.909999966621399,32.32563781738281 +1978,47,1,MVA,15-17 yrs,110,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,43.18212890625 +1978,47,1,suicide,15-17 yrs,16,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,6.281037330627441 +1978,47,1,homicide,15-17 yrs,13,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,5.103342533111572 +1978,47,1,other external,15-17 yrs,39,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,15.310028076171875 +1978,47,1,internal,15-17 yrs,70,254735,16.00359535217285,0,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,27.479537963867188 +1978,47,1,all,18-20 yrs,424,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,162.57606506347656 +1978,47,1,MVA,18-20 yrs,191,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,73.23591613769531 +1978,47,1,suicide,18-20 yrs,29,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,11.119588851928711 +1978,47,1,homicide,18-20 yrs,32,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,12.269891738891602 +1978,47,1,other external,18-20 yrs,80,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,30.674728393554688 +1978,47,1,internal,18-20 yrs,92,260801,18.996824264526367,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,35.27593994140625 +1978,47,1,all,21-24 yrs,496,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,152.15237426757812 +1978,47,1,MVA,21-24 yrs,196,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,60.12472915649414 +1978,47,1,suicide,21-24 yrs,45,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,13.804146766662598 +1978,47,1,homicide,21-24 yrs,62,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,19.019046783447266 +1978,47,1,other external,21-24 yrs,88,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,26.994775772094727 +1978,47,1,internal,21-24 yrs,105,325989,22.470273971557617,1,0.16821691393852234,1.159999966621399,0.10999999940395355,0.7200000286102295,1.9900000095367432,32.20967483520508 +1979,47,0.806653618812561,MVA,15-17 yrs,96,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,37.66773986816406 +1979,47,0.806653618812561,suicide,15-17 yrs,17,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,6.670328617095947 +1979,47,0.806653618812561,homicide,15-17 yrs,16,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,6.277956485748291 +1979,47,0.806653618812561,other external,15-17 yrs,43,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,16.872007369995117 +1979,47,0.806653618812561,internal,15-17 yrs,56,254860,16.000051498413086,0,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,21.97284698486328 +1979,47,0.806653618812561,all,18-20 yrs,412,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,156.04818725585938 +1979,47,0.806653618812561,MVA,18-20 yrs,174,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,65.90384674072266 +1979,47,0.806653618812561,suicide,18-20 yrs,36,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,13.635278701782227 +1979,47,0.806653618812561,homicide,18-20 yrs,38,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,14.392794609069824 +1979,47,0.806653618812561,other external,18-20 yrs,63,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,23.861738204956055 +1979,47,0.806653618812561,internal,18-20 yrs,101,264021,18.997663497924805,0.806653618812561,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,38.25453186035156 +1979,47,0.806653618812561,all,21-24 yrs,495,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,149.35009765625 +1979,47,0.806653618812561,MVA,21-24 yrs,189,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,57.02458572387695 +1979,47,0.806653618812561,suicide,21-24 yrs,62,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,18.706478118896484 +1979,47,0.806653618812561,homicide,21-24 yrs,62,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,18.706478118896484 +1979,47,0.806653618812561,other external,21-24 yrs,82,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,24.740825653076172 +1979,47,0.806653618812561,internal,21-24 yrs,100,331436,22.47899055480957,1,0.15107083320617676,1.1399999856948853,0.10999999940395355,0.7300000190734863,1.9800000190734863,30.171737670898438 +1980,47,0.6757730841636658,MVA,15-17 yrs,105,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,41.803524017333984 +1980,47,0.6757730841636658,suicide,15-17 yrs,9,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,3.5831592082977295 +1980,47,0.6757730841636658,homicide,15-17 yrs,11,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,4.3794169425964355 +1980,47,0.6757730841636658,other external,15-17 yrs,50,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,19.90643882751465 +1980,47,0.6757730841636658,internal,15-17 yrs,57,251175,16.012027740478516,0,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,22.693342208862305 +1980,47,0.6757730841636658,all,18-20 yrs,371,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,139.72213745117188 +1980,47,0.6757730841636658,MVA,18-20 yrs,174,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,65.530059814453125 +1980,47,0.6757730841636658,suicide,18-20 yrs,32,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,12.051505088806152 +1980,47,0.6757730841636658,homicide,18-20 yrs,45,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,16.947429656982422 +1980,47,0.6757730841636658,other external,18-20 yrs,65,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,24.4796199798584 +1980,47,0.6757730841636658,internal,18-20 yrs,55,265527,19.008146286010742,0.6757730841636658,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,20.713523864746094 +1980,47,0.6757730841636658,all,21-24 yrs,510,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,151.50885009765625 +1980,47,0.6757730841636658,MVA,21-24 yrs,184,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,54.662017822265625 +1980,47,0.6757730841636658,suicide,21-24 yrs,52,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,15.44796085357666 +1980,47,0.6757730841636658,homicide,21-24 yrs,87,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,25.845626831054688 +1980,47,0.6757730841636658,other external,21-24 yrs,89,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,26.43977928161621 +1980,47,0.6757730841636658,internal,21-24 yrs,98,336614,22.487138748168945,1,0.13310366868972778,1.100000023841858,0.11999999731779099,0.6899999976158142,1.9199999570846558,29.11346435546875 +1981,47,0.6833317875862122,MVA,15-17 yrs,106,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,43.72883224487305 +1981,47,0.6833317875862122,suicide,15-17 yrs,18,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,7.425650596618652 +1981,47,0.6833317875862122,homicide,15-17 yrs,18,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,7.425650596618652 +1981,47,0.6833317875862122,other external,15-17 yrs,36,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,14.851301193237305 +1981,47,0.6833317875862122,internal,15-17 yrs,38,242403,16.03249168395996,0,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,15.676373481750488 +1981,47,0.6833317875862122,all,18-20 yrs,316,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,120.56282806396484 +1981,47,0.6833317875862122,MVA,18-20 yrs,152,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,57.99224853515625 +1981,47,0.6833317875862122,suicide,18-20 yrs,30,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,11.44583797454834 +1981,47,0.6833317875862122,homicide,18-20 yrs,28,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,10.682782173156738 +1981,47,0.6833317875862122,other external,18-20 yrs,36,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,13.735006332397461 +1981,47,0.6833317875862122,internal,18-20 yrs,70,262104,19.027477264404297,0.6833317875862122,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,26.70695686340332 +1981,47,0.6833317875862122,all,21-24 yrs,414,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,121.50489807128906 +1981,47,0.6833317875862122,MVA,21-24 yrs,154,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,45.19747543334961 +1981,47,0.6833317875862122,suicide,21-24 yrs,60,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,17.609405517578125 +1981,47,0.6833317875862122,homicide,21-24 yrs,68,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,19.957326889038086 +1981,47,0.6833317875862122,other external,21-24 yrs,40,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,11.739603996276855 +1981,47,0.6833317875862122,internal,21-24 yrs,92,340727,22.49422836303711,1,0.13840092718601227,1.1399999856948853,0.12999999523162842,0.7200000286102295,1.9800000190734863,27.001089096069336 +1982,47,0.6769021153450012,MVA,15-17 yrs,102,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,44.16865539550781 +1982,47,0.6769021153450012,suicide,15-17 yrs,6,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,2.598156213760376 +1982,47,0.6769021153450012,homicide,15-17 yrs,14,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,6.06236457824707 +1982,47,0.6769021153450012,other external,15-17 yrs,36,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,15.588936805725098 +1982,47,0.6769021153450012,internal,15-17 yrs,48,230933,16.03289222717285,0,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,20.785249710083008 +1982,47,0.6769021153450012,all,18-20 yrs,326,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,127.1148452758789 +1982,47,0.6769021153450012,MVA,18-20 yrs,160,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,62.38765335083008 +1982,47,0.6769021153450012,suicide,18-20 yrs,26,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,10.137993812561035 +1982,47,0.6769021153450012,homicide,18-20 yrs,32,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,12.477530479431152 +1982,47,0.6769021153450012,other external,18-20 yrs,48,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,18.71629524230957 +1982,47,0.6769021153450012,internal,18-20 yrs,60,256461,19.018705368041992,0.6769021153450012,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,23.395370483398438 +1982,47,0.6769021153450012,all,21-24 yrs,436,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,127.0966567993164 +1982,47,0.6769021153450012,MVA,21-24 yrs,152,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,44.30892562866211 +1982,47,0.6769021153450012,suicide,21-24 yrs,40,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,11.66024398803711 +1982,47,0.6769021153450012,homicide,21-24 yrs,64,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,18.656389236450195 +1982,47,0.6769021153450012,other external,21-24 yrs,74,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,21.57145118713379 +1982,47,0.6769021153450012,internal,21-24 yrs,106,343046,22.485057830810547,1,0.1303693801164627,1.1299999952316284,0.14000000059604645,0.699999988079071,1.9600000381469727,30.899646759033203 +1983,47,0.6810385584831238,MVA,15-17 yrs,62,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,28.091415405273438 +1983,47,0.6810385584831238,suicide,15-17 yrs,17,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,7.702484607696533 +1983,47,0.6810385584831238,homicide,15-17 yrs,4,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,1.8123493194580078 +1983,47,0.6810385584831238,other external,15-17 yrs,31,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,14.045707702636719 +1983,47,0.6810385584831238,internal,15-17 yrs,47,220708,16.020429611206055,0,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,21.29510498046875 +1983,47,0.6810385584831238,all,18-20 yrs,336,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,134.1129913330078 +1983,47,0.6810385584831238,MVA,18-20 yrs,176,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,70.249664306640625 +1983,47,0.6810385584831238,suicide,18-20 yrs,30,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,11.974374771118164 +1983,47,0.6810385584831238,homicide,18-20 yrs,37,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,14.76839542388916 +1983,47,0.6810385584831238,other external,18-20 yrs,39,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,15.56668758392334 +1983,47,0.6810385584831238,internal,18-20 yrs,54,250535,19.0189266204834,0.6810385584831238,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,21.553874969482422 +1983,47,0.6810385584831238,all,21-24 yrs,423,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,123.4214859008789 +1983,47,0.6810385584831238,MVA,21-24 yrs,148,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,43.18293380737305 +1983,47,0.6810385584831238,suicide,21-24 yrs,52,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,15.172381401062012 +1983,47,0.6810385584831238,homicide,21-24 yrs,64,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,18.6737003326416 +1983,47,0.6810385584831238,other external,21-24 yrs,71,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,20.716136932373047 +1983,47,0.6810385584831238,internal,21-24 yrs,88,342728,22.49477195739746,1,0.12631170451641083,1.100000023841858,0.14000000059604645,0.6899999976158142,1.9299999475479126,25.67633819580078 +1984,47,0.6607020497322083,MVA,15-17 yrs,68,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,31.11003303527832 +1984,47,0.6607020497322083,suicide,15-17 yrs,8,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,3.660003900527954 +1984,47,0.6607020497322083,homicide,15-17 yrs,11,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,5.032505512237549 +1984,47,0.6607020497322083,other external,15-17 yrs,25,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,11.437512397766113 +1984,47,0.6607020497322083,internal,15-17 yrs,44,218579,16.000768661499023,0,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,20.130022048950195 +1984,47,0.6607020497322083,all,18-20 yrs,330,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,135.55368041992188 +1984,47,0.6607020497322083,MVA,18-20 yrs,170,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,69.83068084716797 +1984,47,0.6607020497322083,suicide,18-20 yrs,37,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,15.198442459106445 +1984,47,0.6607020497322083,homicide,18-20 yrs,25,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,10.269217491149902 +1984,47,0.6607020497322083,other external,18-20 yrs,37,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,15.198442459106445 +1984,47,0.6607020497322083,internal,18-20 yrs,61,243446,19.03953742980957,0.6607020497322083,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,25.05689239501953 +1984,47,0.6607020497322083,all,21-24 yrs,438,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,128.81936645507812 +1984,47,0.6607020497322083,MVA,21-24 yrs,173,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,50.880706787109375 +1984,47,0.6607020497322083,suicide,21-24 yrs,70,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,20.587568283081055 +1984,47,0.6607020497322083,homicide,21-24 yrs,48,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,14.11719036102295 +1984,47,0.6607020497322083,other external,21-24 yrs,63,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,18.528812408447266 +1984,47,0.6607020497322083,internal,21-24 yrs,84,340011,22.516033172607422,1,0.12108416855335236,1.1100000143051147,0.15000000596046448,0.699999988079071,1.9500000476837158,24.7050838470459 +1985,47,0.3774188458919525,MVA,15-17 yrs,66,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,29.847640991210938 +1985,47,0.3774188458919525,suicide,15-17 yrs,16,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,7.2357916831970215 +1985,47,0.3774188458919525,homicide,15-17 yrs,12,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,5.426844120025635 +1985,47,0.3774188458919525,other external,15-17 yrs,22,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,9.949213981628418 +1985,47,0.3774188458919525,internal,15-17 yrs,39,221123,15.984176635742188,0,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,17.637243270874023 +1985,47,0.3774188458919525,all,18-20 yrs,302,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,128.94686889648438 +1985,47,0.3774188458919525,MVA,18-20 yrs,130,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,55.506927490234375 +1985,47,0.3774188458919525,suicide,18-20 yrs,39,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,16.65207862854004 +1985,47,0.3774188458919525,homicide,18-20 yrs,26,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,11.101385116577148 +1985,47,0.3774188458919525,other external,18-20 yrs,41,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,17.506031036376953 +1985,47,0.3774188458919525,internal,18-20 yrs,66,234205,19.039363861083984,0.3774188458919525,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,28.18044090270996 +1985,47,0.3774188458919525,all,21-24 yrs,436,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,129.2502899169922 +1985,47,0.3774188458919525,MVA,21-24 yrs,190,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,56.324668884277344 +1985,47,0.3774188458919525,suicide,21-24 yrs,41,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,12.15427017211914 +1985,47,0.3774188458919525,homicide,21-24 yrs,50,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,14.822280883789062 +1985,47,0.3774188458919525,other external,21-24 yrs,53,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,15.711617469787598 +1985,47,0.3774188458919525,internal,21-24 yrs,102,337330,22.52351188659668,1,0.11692049354314804,1.1100000143051147,0.1599999964237213,0.6700000166893005,1.940000057220459,30.23745346069336 +1986,47,0.05816126614809036,MVA,15-17 yrs,99,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,43.458221435546875 +1986,47,0.05816126614809036,suicide,15-17 yrs,10,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,4.389719486236572 +1986,47,0.05816126614809036,homicide,15-17 yrs,10,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,4.389719486236572 +1986,47,0.05816126614809036,other external,15-17 yrs,30,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,13.169157981872559 +1986,47,0.05816126614809036,internal,15-17 yrs,40,227805,15.98381519317627,0,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,17.55887794494629 +1986,47,0.05816126614809036,all,18-20 yrs,341,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,151.44113159179688 +1986,47,0.05816126614809036,MVA,18-20 yrs,161,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,71.50153350830078 +1986,47,0.05816126614809036,suicide,18-20 yrs,32,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,14.211484909057617 +1986,47,0.05816126614809036,homicide,18-20 yrs,47,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,20.873117446899414 +1986,47,0.05816126614809036,other external,18-20 yrs,53,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,23.537771224975586 +1986,47,0.05816126614809036,internal,18-20 yrs,48,225170,19.0250301361084,0.05816126614809036,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,21.31722640991211 +1986,47,0.05816126614809036,all,21-24 yrs,491,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,149.5405731201172 +1986,47,0.05816126614809036,MVA,21-24 yrs,190,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,57.86702346801758 +1986,47,0.05816126614809036,suicide,21-24 yrs,50,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,15.228163719177246 +1986,47,0.05816126614809036,homicide,21-24 yrs,83,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,25.278751373291016 +1986,47,0.05816126614809036,other external,21-24 yrs,70,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,21.319429397583008 +1986,47,0.05816126614809036,internal,21-24 yrs,98,328339,22.521116256713867,1,0.11478690803050995,1.1699999570846558,0.1599999964237213,0.6299999952316284,1.9600000381469727,29.847200393676758 +1987,47,0,MVA,15-17 yrs,109,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,47.82463836669922 +1987,47,0,suicide,15-17 yrs,18,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,7.897646427154541 +1987,47,0,homicide,15-17 yrs,16,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,7.020130157470703 +1987,47,0,other external,15-17 yrs,31,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,13.601502418518066 +1987,47,0,internal,15-17 yrs,43,227916,16.021732330322266,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,18.866600036621094 +1987,47,0,all,18-20 yrs,331,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,147.09214782714844 +1987,47,0,MVA,18-20 yrs,159,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,70.657562255859375 +1987,47,0,suicide,18-20 yrs,33,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,14.664776802062988 +1987,47,0,homicide,18-20 yrs,41,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,18.219873428344727 +1987,47,0,other external,18-20 yrs,47,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,20.88619613647461 +1987,47,0,internal,18-20 yrs,51,225029,19.00492286682129,0,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,22.663745880126953 +1987,47,0,all,21-24 yrs,423,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,132.6180877685547 +1987,47,0,MVA,21-24 yrs,168,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,52.671016693115234 +1987,47,0,suicide,21-24 yrs,44,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,13.794790267944336 +1987,47,0,homicide,21-24 yrs,74,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,23.200328826904297 +1987,47,0,other external,21-24 yrs,46,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,14.421825408935547 +1987,47,0,internal,21-24 yrs,91,318961,22.53263282775879,1,0.11074511706829071,1.1699999570846558,0.15000000596046448,0.6200000047683716,1.940000057220459,28.530134201049805 +1988,47,0,MVA,15-17 yrs,83,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,37.303035736083984 +1988,47,0,suicide,15-17 yrs,21,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,9.438117027282715 +1988,47,0,homicide,15-17 yrs,8,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,3.595473289489746 +1988,47,0,other external,15-17 yrs,28,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,12.58415699005127 +1988,47,0,internal,15-17 yrs,47,222502,16.048242568969727,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,21.12340545654297 +1988,47,0,all,18-20 yrs,321,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,140.0053253173828 +1988,47,0,MVA,18-20 yrs,181,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,78.94380950927734 +1988,47,0,suicide,18-20 yrs,20,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,8.72307300567627 +1988,47,0,homicide,18-20 yrs,38,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,16.57383918762207 +1988,47,0,other external,18-20 yrs,35,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,15.26537799835205 +1988,47,0,internal,18-20 yrs,47,229277,18.986234664916992,0,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,20.499221801757812 +1988,47,0,all,21-24 yrs,433,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,140.29971313476562 +1988,47,0,MVA,21-24 yrs,173,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,56.055084228515625 +1988,47,0,suicide,21-24 yrs,56,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,18.14499855041504 +1988,47,0,homicide,21-24 yrs,57,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,18.46901512145996 +1988,47,0,other external,21-24 yrs,63,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,20.413122177124023 +1988,47,0,internal,21-24 yrs,84,308625,22.545970916748047,1,0.1063452661037445,1.2000000476837158,0.14000000059604645,0.6000000238418579,1.9500000476837158,27.217496871948242 +1989,47,0,MVA,15-17 yrs,68,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,32.11728286743164 +1989,47,0,suicide,15-17 yrs,22,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,10.390886306762695 +1989,47,0,homicide,15-17 yrs,9,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,4.25081729888916 +1989,47,0,other external,15-17 yrs,30,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.169390678405762 +1989,47,0,internal,15-17 yrs,45,211724,16.033510208129883,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,21.254085540771484 +1989,47,0,all,18-20 yrs,304,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,128.01132202148438 +1989,47,0,MVA,18-20 yrs,156,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,65.69001770019531 +1989,47,0,suicide,18-20 yrs,29,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,12.2116060256958 +1989,47,0,homicide,18-20 yrs,35,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.738144874572754 +1989,47,0,other external,18-20 yrs,34,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,14.317055702209473 +1989,47,0,internal,18-20 yrs,50,237479,18.985868453979492,0,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,21.054492950439453 +1989,47,0,all,21-24 yrs,370,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,124.76522064208984 +1989,47,0,MVA,21-24 yrs,127,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,42.8248176574707 +1989,47,0,suicide,21-24 yrs,45,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,15.174148559570312 +1989,47,0,homicide,21-24 yrs,48,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,16.185758590698242 +1989,47,0,other external,21-24 yrs,54,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,18.2089786529541 +1989,47,0,internal,21-24 yrs,96,296557,22.535259246826172,1,0.10145681351423264,1.1799999475479126,0.14000000059604645,0.5899999737739563,1.899999976158142,32.371517181396484 +1990,47,0,MVA,15-17 yrs,72,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,34.964866638183594 +1990,47,0,suicide,15-17 yrs,26,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,12.626201629638672 +1990,47,0,homicide,15-17 yrs,18,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,8.741216659545898 +1990,47,0,other external,15-17 yrs,32,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.539939880371094 +1990,47,0,internal,15-17 yrs,48,205921,16.01730728149414,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,23.30990982055664 +1990,47,0,all,18-20 yrs,304,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,126.87706756591797 +1990,47,0,MVA,18-20 yrs,136,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,56.76079559326172 +1990,47,0,suicide,18-20 yrs,31,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,12.938122749328613 +1990,47,0,homicide,18-20 yrs,47,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,19.615863800048828 +1990,47,0,other external,18-20 yrs,36,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.024916648864746 +1990,47,0,internal,18-20 yrs,54,239602,19.02564239501953,0,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,22.53737449645996 +1990,47,0,all,21-24 yrs,400,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,137.5894317626953 +1990,47,0,MVA,21-24 yrs,142,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,48.8442497253418 +1990,47,0,suicide,21-24 yrs,55,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,18.918546676635742 +1990,47,0,homicide,21-24 yrs,70,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,24.07815170288086 +1990,47,0,other external,21-24 yrs,44,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,15.134838104248047 +1990,47,0,internal,21-24 yrs,89,290720,22.497957229614258,1,0.09625589102506638,1.2200000286102295,0.14000000059604645,0.6000000238418579,1.9600000381469727,30.613649368286133 +1991,47,0,MVA,15-17 yrs,79,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,38.82197570800781 +1991,47,0,suicide,15-17 yrs,16,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,7.862678527832031 +1991,47,0,homicide,15-17 yrs,21,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,10.319765090942383 +1991,47,0,other external,15-17 yrs,31,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,15.233939170837402 +1991,47,0,internal,15-17 yrs,42,203493,16.021244049072266,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,20.639530181884766 +1991,47,0,all,18-20 yrs,301,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,129.6960906982422 +1991,47,0,MVA,18-20 yrs,122,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,52.56785202026367 +1991,47,0,suicide,18-20 yrs,29,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,12.495636940002441 +1991,47,0,homicide,18-20 yrs,59,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,25.42215919494629 +1991,47,0,other external,18-20 yrs,42,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,18.097129821777344 +1991,47,0,internal,18-20 yrs,49,232081,19.057113647460938,0,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,21.113317489624023 +1991,47,0,all,21-24 yrs,408,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,138.65524291992188 +1991,47,0,MVA,21-24 yrs,147,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,49.956668853759766 +1991,47,0,suicide,21-24 yrs,45,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,15.292858123779297 +1991,47,0,homicide,21-24 yrs,73,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,24.808414459228516 +1991,47,0,other external,21-24 yrs,51,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,17.331905364990234 +1991,47,0,internal,21-24 yrs,92,294255,22.461450576782227,1,0.09236890822649002,1.190000057220459,0.12999999523162842,0.5400000214576721,1.8700000047683716,31.265399932861328 +1992,47,0,MVA,15-17 yrs,87,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,42.04543685913086 +1992,47,0,suicide,15-17 yrs,14,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,6.765932559967041 +1992,47,0,homicide,15-17 yrs,26,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,12.565303802490234 +1992,47,0,other external,15-17 yrs,12,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,5.799370765686035 +1992,47,0,internal,15-17 yrs,42,206919,16.00677490234375,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,20.29779815673828 +1992,47,0,all,18-20 yrs,303,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,137.03834533691406 +1992,47,0,MVA,18-20 yrs,111,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,50.20216369628906 +1992,47,0,suicide,18-20 yrs,41,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,18.543142318725586 +1992,47,0,homicide,18-20 yrs,69,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,31.206750869750977 +1992,47,0,other external,18-20 yrs,32,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,14.472696304321289 +1992,47,0,internal,18-20 yrs,50,221106,19.04306983947754,0,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,22.613588333129883 +1992,47,0,all,21-24 yrs,387,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,128.01852416992188 +1992,47,0,MVA,21-24 yrs,127,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,42.01124572753906 +1992,47,0,suicide,21-24 yrs,49,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,16.209064483642578 +1992,47,0,homicide,21-24 yrs,78,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,25.802183151245117 +1992,47,0,other external,21-24 yrs,43,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,14.22428035736084 +1992,47,0,internal,21-24 yrs,90,302300,22.442293167114258,1,0.0896696001291275,1.2100000381469727,0.14000000059604645,0.5600000023841858,1.899999976158142,29.77174949645996 +1993,47,0,MVA,15-17 yrs,89,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,42.22291946411133 +1993,47,0,suicide,15-17 yrs,29,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,13.75802993774414 +1993,47,0,homicide,15-17 yrs,16,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,7.590636730194092 +1993,47,0,other external,15-17 yrs,30,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,14.232443809509277 +1993,47,0,internal,15-17 yrs,36,210786,15.991730690002441,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,17.078933715820312 +1993,47,0,all,18-20 yrs,287,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,132.72964477539062 +1993,47,0,MVA,18-20 yrs,120,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,55.49671936035156 +1993,47,0,suicide,18-20 yrs,34,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,15.72407054901123 +1993,47,0,homicide,18-20 yrs,57,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,26.36094093322754 +1993,47,0,other external,18-20 yrs,31,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,14.336652755737305 +1993,47,0,internal,18-20 yrs,45,216229,19.01795768737793,0,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,20.811269760131836 +1993,47,0,all,21-24 yrs,421,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,137.3187255859375 +1993,47,0,MVA,21-24 yrs,138,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,45.0118408203125 +1993,47,0,suicide,21-24 yrs,57,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,18.591846466064453 +1993,47,0,homicide,21-24 yrs,91,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,29.681720733642578 +1993,47,0,other external,21-24 yrs,40,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,13.046910285949707 +1993,47,0,internal,21-24 yrs,95,306586,22.480533599853516,1,0.08706329017877579,1.2000000476837158,0.14000000059604645,0.5400000214576721,1.8700000047683716,30.986412048339844 +1994,47,0,MVA,15-17 yrs,103,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,47.239471435546875 +1994,47,0,suicide,15-17 yrs,24,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,11.007255554199219 +1994,47,0,homicide,15-17 yrs,35,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,16.052248001098633 +1994,47,0,other external,15-17 yrs,22,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,10.089983940124512 +1994,47,0,internal,15-17 yrs,52,218038,15.998894691467285,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,23.84905433654785 +1994,47,0,all,18-20 yrs,299,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,139.1189422607422 +1994,47,0,MVA,18-20 yrs,125,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,58.16009521484375 +1994,47,0,suicide,18-20 yrs,32,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.888983726501465 +1994,47,0,homicide,18-20 yrs,44,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,20.472352981567383 +1994,47,0,other external,18-20 yrs,34,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,15.81954574584961 +1994,47,0,internal,18-20 yrs,64,214924,19.02048683166504,0,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,29.77796745300293 +1994,47,0,all,21-24 yrs,435,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,142.74978637695312 +1994,47,0,MVA,21-24 yrs,143,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,46.92694091796875 +1994,47,0,suicide,21-24 yrs,61,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,20.017786026000977 +1994,47,0,homicide,21-24 yrs,68,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,22.314908981323242 +1994,47,0,other external,21-24 yrs,44,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,14.439059257507324 +1994,47,0,internal,21-24 yrs,119,304729,22.535400390625,1,0.08488964289426804,1.1799999475479126,0.15000000596046448,0.5299999713897705,1.8600000143051147,39.051090240478516 +1995,47,0,MVA,15-17 yrs,111,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,49.421634674072266 +1995,47,0,suicide,15-17 yrs,26,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,11.576238632202148 +1995,47,0,homicide,15-17 yrs,34,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,15.138157844543457 +1995,47,0,other external,15-17 yrs,32,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,14.24767780303955 +1995,47,0,internal,15-17 yrs,42,224598,15.990418434143066,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,18.700077056884766 +1995,47,0,all,18-20 yrs,300,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,137.50051879882812 +1995,47,0,MVA,18-20 yrs,114,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,52.25019454956055 +1995,47,0,suicide,18-20 yrs,23,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,10.541706085205078 +1995,47,0,homicide,18-20 yrs,66,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,30.250112533569336 +1995,47,0,other external,18-20 yrs,37,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,16.958396911621094 +1995,47,0,internal,18-20 yrs,60,218181,19.008895874023438,0,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,27.500102996826172 +1995,47,0,all,21-24 yrs,402,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,134.9690704345703 +1995,47,0,MVA,21-24 yrs,150,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,50.361595153808594 +1995,47,0,suicide,21-24 yrs,62,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,20.816125869750977 +1995,47,0,homicide,21-24 yrs,58,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,19.4731502532959 +1995,47,0,other external,21-24 yrs,50,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,16.787199020385742 +1995,47,0,internal,21-24 yrs,82,297846,22.553638458251953,1,0.08255016803741455,1.1799999475479126,0.15000000596046448,0.5199999809265137,1.840000033378601,27.531005859375 +1996,47,0,MVA,15-17 yrs,100,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,43.78456115722656 +1996,47,0,suicide,15-17 yrs,21,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,9.194758415222168 +1996,47,0,homicide,15-17 yrs,31,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,13.573214530944824 +1996,47,0,other external,15-17 yrs,30,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,13.135368347167969 +1996,47,0,internal,15-17 yrs,37,228391,16.004596710205078,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,16.200288772583008 +1996,47,0,all,18-20 yrs,278,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,125.4212646484375 +1996,47,0,MVA,18-20 yrs,117,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,52.78520965576172 +1996,47,0,suicide,18-20 yrs,26,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,11.730046272277832 +1996,47,0,homicide,18-20 yrs,51,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,23.00893783569336 +1996,47,0,other external,18-20 yrs,37,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,16.692758560180664 +1996,47,0,internal,18-20 yrs,47,221653,18.996427536010742,0,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,21.204315185546875 +1996,47,0,all,21-24 yrs,375,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,129.7645263671875 +1996,47,0,MVA,21-24 yrs,130,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,44.98503494262695 +1996,47,0,suicide,21-24 yrs,45,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,15.571742057800293 +1996,47,0,homicide,21-24 yrs,60,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,20.7623233795166 +1996,47,0,other external,21-24 yrs,53,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,18.340051651000977 +1996,47,0,internal,21-24 yrs,87,288985,22.521207809448242,1,0.08018257468938828,1.1799999475479126,0.15000000596046448,0.5099999904632568,1.840000033378601,30.105369567871094 +1970,48,0,MVA,15-17 yrs,249,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,37.055721282958984 +1970,48,0,suicide,15-17 yrs,32,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,4.762181282043457 +1970,48,0,homicide,15-17 yrs,54,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,8.03618049621582 +1970,48,0,other external,15-17 yrs,142,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,21.132179260253906 +1970,48,0,internal,15-17 yrs,207,671961,15.983681678771973,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,30.80535888671875 +1970,48,0,all,18-20 yrs,993,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,158.1855010986328 +1970,48,0,MVA,18-20 yrs,362,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,57.66682052612305 +1970,48,0,suicide,18-20 yrs,56,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,8.920833587646484 +1970,48,0,homicide,18-20 yrs,115,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,18.319570541381836 +1970,48,0,other external,18-20 yrs,196,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,31.222919464111328 +1970,48,0,internal,18-20 yrs,264,627744,18.98757553100586,0,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,42.05535888671875 +1970,48,0,all,21-24 yrs,1231,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,163.53001403808594 +1970,48,0,MVA,21-24 yrs,391,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,51.94170379638672 +1970,48,0,suicide,21-24 yrs,100,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,13.284322738647461 +1970,48,0,homicide,21-24 yrs,173,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,22.98187828063965 +1970,48,0,other external,21-24 yrs,225,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,29.889726638793945 +1970,48,0,internal,21-24 yrs,342,752767,22.419647216796875,1,0.3574991822242737,1.309999942779541,0.17000000178813934,0.7400000095367432,2.2200000286102295,45.4323844909668 +1971,48,0,MVA,15-17 yrs,240,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,34.65043640136719 +1971,48,0,suicide,15-17 yrs,36,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,5.197565078735352 +1971,48,0,homicide,15-17 yrs,44,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,6.352579593658447 +1971,48,0,other external,15-17 yrs,130,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,18.768985748291016 +1971,48,0,internal,15-17 yrs,185,692632,15.989805221557617,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,26.7097110748291 +1971,48,0,all,18-20 yrs,998,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,149.79991149902344 +1971,48,0,MVA,18-20 yrs,389,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,58.388946533203125 +1971,48,0,suicide,18-20 yrs,66,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,9.906607627868652 +1971,48,0,homicide,18-20 yrs,124,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,18.612415313720703 +1971,48,0,other external,18-20 yrs,172,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,25.81722068786621 +1971,48,0,internal,18-20 yrs,247,666222,18.987348556518555,0,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,37.074729919433594 +1971,48,0,all,21-24 yrs,1256,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,152.18911743164062 +1971,48,0,MVA,21-24 yrs,432,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,52.345298767089844 +1971,48,0,suicide,21-24 yrs,105,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,12.72281551361084 +1971,48,0,homicide,21-24 yrs,218,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,26.414989471435547 +1971,48,0,other external,21-24 yrs,182,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,22.052881240844727 +1971,48,0,internal,21-24 yrs,319,825289,22.531579971313477,1,0.39753085374832153,1.3600000143051147,0.1899999976158142,0.7400000095367432,2.2899999618530273,38.65312576293945 +1972,48,0,MVA,15-17 yrs,300,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,42.15739059448242 +1972,48,0,suicide,15-17 yrs,40,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,5.620985507965088 +1972,48,0,homicide,15-17 yrs,36,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,5.058887004852295 +1972,48,0,other external,15-17 yrs,162,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,22.764991760253906 +1972,48,0,internal,15-17 yrs,218,711619,15.983322143554688,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,30.634370803833008 +1972,48,0,all,18-20 yrs,964,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,138.52703857421875 +1972,48,0,MVA,18-20 yrs,396,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,56.90530014038086 +1972,48,0,suicide,18-20 yrs,62,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,8.909415245056152 +1972,48,0,homicide,18-20 yrs,98,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,14.082624435424805 +1972,48,0,other external,18-20 yrs,162,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,23.279441833496094 +1972,48,0,internal,18-20 yrs,246,695893,18.9895076751709,0,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,35.35026168823242 +1972,48,0,all,21-24 yrs,1376,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,164.98484802246094 +1972,48,0,MVA,21-24 yrs,432,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,51.797569274902344 +1972,48,0,suicide,21-24 yrs,156,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,18.70467758178711 +1972,48,0,homicide,21-24 yrs,190,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,22.78133773803711 +1972,48,0,other external,21-24 yrs,236,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,28.29681968688965 +1972,48,0,internal,21-24 yrs,362,834016,22.485595703125,1,0.3851674795150757,1.399999976158142,0.20000000298023224,0.7300000190734863,2.3399999141693115,43.404441833496094 +1973,48,0.4191780686378479,MVA,15-17 yrs,300,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,41.144081115722656 +1973,48,0.4191780686378479,suicide,15-17 yrs,40,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,5.485877513885498 +1973,48,0.4191780686378479,homicide,15-17 yrs,68,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,9.3259916305542 +1973,48,0.4191780686378479,other external,15-17 yrs,167,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,22.90353775024414 +1973,48,0.4191780686378479,internal,15-17 yrs,205,729145,15.987866401672363,0,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,28.115121841430664 +1973,48,0.4191780686378479,all,18-20 yrs,1092,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,150.723388671875 +1973,48,0.4191780686378479,MVA,18-20 yrs,419,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,57.8325080871582 +1973,48,0.4191780686378479,suicide,18-20 yrs,79,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,10.90398120880127 +1973,48,0.4191780686378479,homicide,18-20 yrs,120,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,16.56300926208496 +1973,48,0.4191780686378479,other external,18-20 yrs,217,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,29.95144271850586 +1973,48,0.4191780686378479,internal,18-20 yrs,257,724506,19.000396728515625,0.4191780686378479,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,35.47244644165039 +1973,48,0.4191780686378479,all,21-24 yrs,1413,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,163.8013916015625 +1973,48,0.4191780686378479,MVA,21-24 yrs,440,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,51.006805419921875 +1973,48,0.4191780686378479,suicide,21-24 yrs,158,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,18.31608009338379 +1973,48,0.4191780686378479,homicide,21-24 yrs,216,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,25.039703369140625 +1973,48,0.4191780686378479,other external,21-24 yrs,251,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,29.097063064575195 +1973,48,0.4191780686378479,internal,21-24 yrs,348,862630,22.475664138793945,1,0.36261260509490967,1.4500000476837158,0.20000000298023224,0.75,2.390000104904175,40.34174728393555 +1974,48,1,MVA,15-17 yrs,247,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,33.21151351928711 +1974,48,1,suicide,15-17 yrs,37,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,4.975004196166992 +1974,48,1,homicide,15-17 yrs,62,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,8.336493492126465 +1974,48,1,other external,15-17 yrs,143,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,19.227718353271484 +1974,48,1,internal,15-17 yrs,186,743718,15.999521255493164,0,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,25.009479522705078 +1974,48,1,all,18-20 yrs,1077,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,144.65773010253906 +1974,48,1,MVA,18-20 yrs,404,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,54.2634391784668 +1974,48,1,suicide,18-20 yrs,88,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,11.819759368896484 +1974,48,1,homicide,18-20 yrs,149,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,20.013002395629883 +1974,48,1,other external,18-20 yrs,198,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,26.594459533691406 +1974,48,1,internal,18-20 yrs,238,744516,19.00564193725586,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,31.967077255249023 +1974,48,1,all,21-24 yrs,1368,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,152.28765869140625 +1974,48,1,MVA,21-24 yrs,369,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,41.07759094238281 +1974,48,1,suicide,21-24 yrs,169,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,18.81331443786621 +1974,48,1,homicide,21-24 yrs,252,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,28.052988052368164 +1974,48,1,other external,21-24 yrs,265,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,29.500167846679688 +1974,48,1,internal,21-24 yrs,313,898300,22.463014602661133,1,0.3265720009803772,1.5299999713897705,0.20000000298023224,0.7799999713897705,2.5,34.84359359741211 +1975,48,1,MVA,15-17 yrs,270,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,35.804840087890625 +1975,48,1,suicide,15-17 yrs,52,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,6.89574670791626 +1975,48,1,homicide,15-17 yrs,66,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,8.752294540405273 +1975,48,1,other external,15-17 yrs,143,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,18.96330451965332 +1975,48,1,internal,15-17 yrs,201,754088,15.996750831604004,0,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,26.654714584350586 +1975,48,1,all,18-20 yrs,1137,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,147.8907012939453 +1975,48,1,MVA,18-20 yrs,444,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,57.75151443481445 +1975,48,1,suicide,18-20 yrs,81,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,10.535749435424805 +1975,48,1,homicide,18-20 yrs,150,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,19.51064682006836 +1975,48,1,other external,18-20 yrs,231,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,30.046396255493164 +1975,48,1,internal,18-20 yrs,231,768811,18.999221801757812,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,30.046396255493164 +1975,48,1,all,21-24 yrs,1381,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,146.16030883789062 +1975,48,1,MVA,21-24 yrs,403,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,42.652137756347656 +1975,48,1,suicide,21-24 yrs,170,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,17.992216110229492 +1975,48,1,homicide,21-24 yrs,223,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,23.60155487060547 +1975,48,1,other external,21-24 yrs,260,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,27.517507553100586 +1975,48,1,internal,21-24 yrs,325,944853,22.466657638549805,1,0.29925650358200073,1.5700000524520874,0.20000000298023224,0.800000011920929,2.559999942779541,34.39688491821289 +1976,48,1,MVA,15-17 yrs,256,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,33.234710693359375 +1976,48,1,suicide,15-17 yrs,42,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,5.452569961547852 +1976,48,1,homicide,15-17 yrs,65,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,8.43850040435791 +1976,48,1,other external,15-17 yrs,138,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,17.915586471557617 +1976,48,1,internal,15-17 yrs,170,770279,15.991451263427734,0,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,22.06992530822754 +1976,48,1,all,18-20 yrs,1133,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,142.6763458251953 +1976,48,1,MVA,18-20 yrs,451,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,56.793495178222656 +1976,48,1,suicide,18-20 yrs,126,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,15.86691951751709 +1976,48,1,homicide,18-20 yrs,134,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,16.87434196472168 +1976,48,1,other external,18-20 yrs,188,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,23.67445182800293 +1976,48,1,internal,18-20 yrs,234,794105,19.004634857177734,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,29.46713638305664 +1976,48,1,all,21-24 yrs,1331,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,134.24281311035156 +1976,48,1,MVA,21-24 yrs,412,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,41.55374526977539 +1976,48,1,suicide,21-24 yrs,159,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,16.036518096923828 +1976,48,1,homicide,21-24 yrs,214,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,21.583742141723633 +1976,48,1,other external,21-24 yrs,219,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,22.088035583496094 +1976,48,1,internal,21-24 yrs,327,991487,22.474716186523438,1,0.28295254707336426,1.559999942779541,0.20000000298023224,0.8100000023841858,2.5799999237060547,32.98076629638672 +1977,48,1,MVA,15-17 yrs,273,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,35.03202438354492 +1977,48,1,suicide,15-17 yrs,52,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,6.672766208648682 +1977,48,1,homicide,15-17 yrs,59,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,7.571023464202881 +1977,48,1,other external,15-17 yrs,132,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,16.938560485839844 +1977,48,1,internal,15-17 yrs,163,779287,15.997530937194824,0,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,20.916555404663086 +1977,48,1,all,18-20 yrs,1163,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,143.6588134765625 +1977,48,1,MVA,18-20 yrs,477,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,58.921112060546875 +1977,48,1,suicide,18-20 yrs,128,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,15.811116218566895 +1977,48,1,homicide,18-20 yrs,130,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,16.058164596557617 +1977,48,1,other external,18-20 yrs,208,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,25.693063735961914 +1977,48,1,internal,18-20 yrs,220,809557,19.016963958740234,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,27.175355911254883 +1977,48,1,all,21-24 yrs,1569,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,152.35316467285156 +1977,48,1,MVA,21-24 yrs,520,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,50.49308395385742 +1977,48,1,suicide,21-24 yrs,203,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,19.71172332763672 +1977,48,1,homicide,21-24 yrs,288,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,27.96540069580078 +1977,48,1,other external,21-24 yrs,244,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,23.692909240722656 +1977,48,1,internal,21-24 yrs,314,1029844,22.490686416625977,1,0.2656765580177307,1.6299999952316284,0.14000000059604645,0.8100000023841858,2.5799999237060547,30.490055084228516 +1978,48,1,MVA,15-17 yrs,306,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,38.966495513916016 +1978,48,1,suicide,15-17 yrs,40,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,5.0936598777771 +1978,48,1,homicide,15-17 yrs,67,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,8.531880378723145 +1978,48,1,other external,15-17 yrs,134,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,17.06376075744629 +1978,48,1,internal,15-17 yrs,182,785290,16.005325317382812,0,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,23.176151275634766 +1978,48,1,all,18-20 yrs,1204,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,146.75588989257812 +1978,48,1,MVA,18-20 yrs,519,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,63.261051177978516 +1978,48,1,suicide,18-20 yrs,115,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,14.01738166809082 +1978,48,1,homicide,18-20 yrs,171,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,20.843236923217773 +1978,48,1,other external,18-20 yrs,186,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,22.67159080505371 +1978,48,1,internal,18-20 yrs,213,820410,19.014984130859375,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,25.962629318237305 +1978,48,1,all,21-24 yrs,1718,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,160.90782165527344 +1978,48,1,MVA,21-24 yrs,586,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,54.884742736816406 +1978,48,1,suicide,21-24 yrs,201,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,18.825653076171875 +1978,48,1,homicide,21-24 yrs,333,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,31.188770294189453 +1978,48,1,other external,21-24 yrs,259,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,24.257932662963867 +1978,48,1,internal,21-24 yrs,339,1067692,22.48978614807129,1,0.2469325214624405,1.7000000476837158,0.14000000059604645,0.8399999737739563,2.680000066757202,31.750730514526367 +1979,48,1,MVA,15-17 yrs,309,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,39.28663635253906 +1979,48,1,suicide,15-17 yrs,50,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,6.35706090927124 +1979,48,1,homicide,15-17 yrs,88,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,11.188426971435547 +1979,48,1,other external,15-17 yrs,156,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,19.834030151367188 +1979,48,1,internal,15-17 yrs,171,786527,16.008790969848633,0,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,21.741147994995117 +1979,48,1,all,18-20 yrs,1282,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,152.6481170654297 +1979,48,1,MVA,18-20 yrs,563,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,67.03657531738281 +1979,48,1,suicide,18-20 yrs,103,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,12.264241218566895 +1979,48,1,homicide,18-20 yrs,224,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,26.6717472076416 +1979,48,1,other external,18-20 yrs,198,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,23.57592010498047 +1979,48,1,internal,18-20 yrs,194,839840,19.009923934936523,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,23.099637985229492 +1979,48,1,all,21-24 yrs,1756,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,159.08621215820312 +1979,48,1,MVA,21-24 yrs,580,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,52.54555892944336 +1979,48,1,suicide,21-24 yrs,208,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,18.84392547607422 +1979,48,1,homicide,21-24 yrs,367,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,33.2486572265625 +1979,48,1,other external,21-24 yrs,276,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,25.004438400268555 +1979,48,1,internal,21-24 yrs,325,1103804,22.494274139404297,1,0.22176308929920197,1.7599999904632568,0.14000000059604645,0.8700000047683716,2.7699999809265137,29.443634033203125 +1980,48,1,MVA,15-17 yrs,292,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,37.19347381591797 +1980,48,1,suicide,15-17 yrs,53,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,6.7508697509765625 +1980,48,1,homicide,15-17 yrs,80,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,10.18999195098877 +1980,48,1,other external,15-17 yrs,120,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,15.284988403320312 +1980,48,1,internal,15-17 yrs,150,785084,16.020444869995117,0,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,19.10623550415039 +1980,48,1,all,18-20 yrs,1400,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,163.7744903564453 +1980,48,1,MVA,18-20 yrs,557,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,65.15885162353516 +1980,48,1,suicide,18-20 yrs,127,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,14.856685638427734 +1980,48,1,homicide,18-20 yrs,250,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,29.24544334411621 +1980,48,1,other external,18-20 yrs,235,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,27.4907169342041 +1980,48,1,internal,18-20 yrs,231,854834,19.018468856811523,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,27.022790908813477 +1980,48,1,all,21-24 yrs,1854,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,162.6300048828125 +1980,48,1,MVA,21-24 yrs,618,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,54.21000289916992 +1980,48,1,suicide,21-24 yrs,209,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,18.33315658569336 +1980,48,1,homicide,21-24 yrs,388,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,34.034759521484375 +1980,48,1,other external,21-24 yrs,291,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,25.52606964111328 +1980,48,1,internal,21-24 yrs,348,1140011,22.506010055541992,1,0.19538834691047668,1.7699999809265137,0.2199999988079071,0.8100000023841858,2.799999952316284,30.52602195739746 +1981,48,0.8943661451339722,MVA,15-17 yrs,288,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,37.539642333984375 +1981,48,0.8943661451339722,suicide,15-17 yrs,58,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,7.5600666999816895 +1981,48,0.8943661451339722,homicide,15-17 yrs,66,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,8.602834701538086 +1981,48,0.8943661451339722,other external,15-17 yrs,100,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,13.034597396850586 +1981,48,0.8943661451339722,internal,15-17 yrs,142,767189,16.032798767089844,0,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,18.50912857055664 +1981,48,0.8943661451339722,all,18-20 yrs,1366,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,159.47958374023438 +1981,48,0.8943661451339722,MVA,18-20 yrs,612,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,71.4505844116211 +1981,48,0.8943661451339722,suicide,18-20 yrs,106,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,12.375428199768066 +1981,48,0.8943661451339722,homicide,18-20 yrs,256,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,29.887826919555664 +1981,48,0.8943661451339722,other external,18-20 yrs,174,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,20.314382553100586 +1981,48,0.8943661451339722,internal,18-20 yrs,218,856536,19.03035545349121,0.8943661451339722,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,25.451353073120117 +1981,48,0.8943661451339722,all,21-24 yrs,1990,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,171.05271911621094 +1981,48,0.8943661451339722,MVA,21-24 yrs,710,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,61.02886199951172 +1981,48,0.8943661451339722,suicide,21-24 yrs,228,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,19.597999572753906 +1981,48,0.8943661451339722,homicide,21-24 yrs,406,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,34.898193359375 +1981,48,0.8943661451339722,other external,21-24 yrs,294,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,25.27110481262207 +1981,48,0.8943661451339722,internal,21-24 yrs,352,1163384,22.518911361694336,1,0.1771177053451538,1.840000033378601,0.23999999463558197,0.8500000238418579,2.930000066757202,30.256561279296875 +1982,48,0.682551920413971,MVA,15-17 yrs,300,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,39.451416015625 +1982,48,0.682551920413971,suicide,15-17 yrs,60,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,7.890283107757568 +1982,48,0.682551920413971,homicide,15-17 yrs,80,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,10.520377159118652 +1982,48,0.682551920413971,other external,15-17 yrs,92,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,12.098433494567871 +1982,48,0.682551920413971,internal,15-17 yrs,126,760429,16.02471351623535,0,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.56959342956543 +1982,48,0.682551920413971,all,18-20 yrs,1334,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,155.13864135742188 +1982,48,0.682551920413971,MVA,18-20 yrs,512,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,59.5434684753418 +1982,48,0.682551920413971,suicide,18-20 yrs,142,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.514009475708008 +1982,48,0.682551920413971,homicide,18-20 yrs,244,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,28.376184463500977 +1982,48,0.682551920413971,other external,18-20 yrs,220,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,25.585084915161133 +1982,48,0.682551920413971,internal,18-20 yrs,216,859876,19.0264949798584,0.682551920413971,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,25.119901657104492 +1982,48,0.682551920413971,all,21-24 yrs,1944,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,162.4018096923828 +1982,48,0.682551920413971,MVA,21-24 yrs,694,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,57.976776123046875 +1982,48,0.682551920413971,suicide,21-24 yrs,196,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,16.373844146728516 +1982,48,0.682551920413971,homicide,21-24 yrs,400,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,33.416011810302734 +1982,48,0.682551920413971,other external,21-24 yrs,288,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,24.059526443481445 +1982,48,0.682551920413971,internal,21-24 yrs,366,1197031,22.507051467895508,1,0.1668393760919571,1.8300000429153442,0.18000000715255737,0.8399999737739563,2.8499999046325684,30.57564926147461 +1983,48,0.687008261680603,MVA,15-17 yrs,220,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,29.254619598388672 +1983,48,0.687008261680603,suicide,15-17 yrs,79,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,10.505067825317383 +1983,48,0.687008261680603,homicide,15-17 yrs,70,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,9.308287620544434 +1983,48,0.687008261680603,other external,15-17 yrs,94,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,12.499700546264648 +1983,48,0.687008261680603,internal,15-17 yrs,153,752018,16.008176803588867,0,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,20.345256805419922 +1983,48,0.687008261680603,all,18-20 yrs,1115,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,130.51223754882812 +1983,48,0.687008261680603,MVA,18-20 yrs,473,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,55.36528396606445 +1983,48,0.687008261680603,suicide,18-20 yrs,133,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,15.567828178405762 +1983,48,0.687008261680603,homicide,18-20 yrs,181,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,21.18629264831543 +1983,48,0.687008261680603,other external,18-20 yrs,165,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.3134708404541 +1983,48,0.687008261680603,internal,18-20 yrs,163,854326,19.032955169677734,0.687008261680603,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.079368591308594 +1983,48,0.687008261680603,all,21-24 yrs,1743,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,143.55958557128906 +1983,48,0.687008261680603,MVA,21-24 yrs,603,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,49.665191650390625 +1983,48,0.687008261680603,suicide,21-24 yrs,214,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,17.625789642333984 +1983,48,0.687008261680603,homicide,21-24 yrs,345,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,28.415409088134766 +1983,48,0.687008261680603,other external,21-24 yrs,239,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,19.684877395629883 +1983,48,0.687008261680603,internal,21-24 yrs,342,1214130,22.513023376464844,1,0.16164658963680267,1.7300000190734863,0.27000001072883606,0.7900000214576721,2.7899999618530273,28.168317794799805 +1984,48,0.693396270275116,MVA,15-17 yrs,231,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,30.307323455810547 +1984,48,0.693396270275116,suicide,15-17 yrs,67,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,8.790435791015625 +1984,48,0.693396270275116,homicide,15-17 yrs,56,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,7.347229957580566 +1984,48,0.693396270275116,other external,15-17 yrs,98,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,12.85765266418457 +1984,48,0.693396270275116,internal,15-17 yrs,130,762192,15.991507530212402,0,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,17.05607032775879 +1984,48,0.693396270275116,all,18-20 yrs,1092,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,132.26327514648438 +1984,48,0.693396270275116,MVA,18-20 yrs,472,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,57.16874313354492 +1984,48,0.693396270275116,suicide,18-20 yrs,116,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,14.049944877624512 +1984,48,0.693396270275116,homicide,18-20 yrs,165,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,19.98483657836914 +1984,48,0.693396270275116,other external,18-20 yrs,155,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,18.77363395690918 +1984,48,0.693396270275116,internal,18-20 yrs,184,825626,19.046009063720703,0.693396270275116,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,22.28611946105957 +1984,48,0.693396270275116,all,21-24 yrs,1763,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,145.44032287597656 +1984,48,0.693396270275116,MVA,21-24 yrs,604,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,49.82754135131836 +1984,48,0.693396270275116,suicide,21-24 yrs,245,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,20.211503982543945 +1984,48,0.693396270275116,homicide,21-24 yrs,328,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,27.058666229248047 +1984,48,0.693396270275116,other external,21-24 yrs,233,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,19.2215518951416 +1984,48,0.693396270275116,internal,21-24 yrs,353,1212181,22.529891967773438,1,0.1903194785118103,1.7400000095367432,0.2800000011920929,0.7900000214576721,2.819999933242798,29.121063232421875 +1985,48,0.6857057213783264,MVA,15-17 yrs,267,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,34.006282806396484 +1985,48,0.6857057213783264,suicide,15-17 yrs,68,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,8.660776138305664 +1985,48,0.6857057213783264,homicide,15-17 yrs,76,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,9.679691314697266 +1985,48,0.6857057213783264,other external,15-17 yrs,107,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,13.627986907958984 +1985,48,0.6857057213783264,internal,15-17 yrs,119,785149,15.978782653808594,0,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,15.15635871887207 +1985,48,0.6857057213783264,all,18-20 yrs,1050,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,131.16883850097656 +1985,48,0.6857057213783264,MVA,18-20 yrs,403,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,50.343849182128906 +1985,48,0.6857057213783264,suicide,18-20 yrs,138,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,17.239334106445312 +1985,48,0.6857057213783264,homicide,18-20 yrs,180,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.486085891723633 +1985,48,0.6857057213783264,other external,18-20 yrs,152,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,18.988250732421875 +1985,48,0.6857057213783264,internal,18-20 yrs,177,800495,19.037723541259766,0.6857057213783264,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.111318588256836 +1985,48,0.6857057213783264,all,21-24 yrs,1691,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,140.40338134765625 +1985,48,0.6857057213783264,MVA,21-24 yrs,551,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,45.749412536621094 +1985,48,0.6857057213783264,suicide,21-24 yrs,212,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,17.60231590270996 +1985,48,0.6857057213783264,homicide,21-24 yrs,334,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,27.731950759887695 +1985,48,0.6857057213783264,other external,21-24 yrs,267,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,22.168954849243164 +1985,48,0.6857057213783264,internal,21-24 yrs,327,1204387,22.541841506958008,1,0.18377503752708435,1.6799999475479126,0.30000001192092896,0.7300000190734863,2.700000047683716,27.150741577148438 +1986,48,0.4516404867172241,MVA,15-17 yrs,287,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,34.95004653930664 +1986,48,0.4516404867172241,suicide,15-17 yrs,71,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,8.64617919921875 +1986,48,0.4516404867172241,homicide,15-17 yrs,68,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,8.280847549438477 +1986,48,0.4516404867172241,other external,15-17 yrs,81,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,9.863950729370117 +1986,48,0.4516404867172241,internal,15-17 yrs,125,821172,15.978015899658203,0,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,15.222146034240723 +1986,48,0.4516404867172241,all,18-20 yrs,1107,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,141.06259155273438 +1986,48,0.4516404867172241,MVA,18-20 yrs,438,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,55.813385009765625 +1986,48,0.4516404867172241,suicide,18-20 yrs,129,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,16.438188552856445 +1986,48,0.4516404867172241,homicide,18-20 yrs,186,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,23.701574325561523 +1986,48,0.4516404867172241,other external,18-20 yrs,171,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,21.790157318115234 +1986,48,0.4516404867172241,internal,18-20 yrs,183,784758,19.019123077392578,0.4516404867172241,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,23.319290161132812 +1986,48,0.4516404867172241,all,21-24 yrs,1665,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,141.01528930664062 +1986,48,0.4516404867172241,MVA,21-24 yrs,509,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,43.10918045043945 +1986,48,0.4516404867172241,suicide,21-24 yrs,232,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,19.648977279663086 +1986,48,0.4516404867172241,homicide,21-24 yrs,360,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,30.48979377746582 +1986,48,0.4516404867172241,other external,21-24 yrs,236,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,19.98775291442871 +1986,48,0.4516404867172241,internal,21-24 yrs,328,1180723,22.545459747314453,1,0.18042148649692535,1.6699999570846558,0.3100000023841858,0.6499999761581421,2.630000114440918,27.77958869934082 +1987,48,0,MVA,15-17 yrs,235,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,28.622095108032227 +1987,48,0,suicide,15-17 yrs,65,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,7.916749954223633 +1987,48,0,homicide,15-17 yrs,56,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,6.820584297180176 +1987,48,0,other external,15-17 yrs,77,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,9.378303527832031 +1987,48,0,internal,15-17 yrs,143,821044,16.008358001708984,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,17.41684913635254 +1987,48,0,all,18-20 yrs,967,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,123.47665405273438 +1987,48,0,MVA,18-20 yrs,396,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,50.56541442871094 +1987,48,0,suicide,18-20 yrs,111,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,14.173638343811035 +1987,48,0,homicide,18-20 yrs,127,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,16.216686248779297 +1987,48,0,other external,18-20 yrs,148,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,18.898183822631836 +1987,48,0,internal,18-20 yrs,185,783144,19.002737045288086,0,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,23.622730255126953 +1987,48,0,all,21-24 yrs,1517,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,133.8248748779297 +1987,48,0,MVA,21-24 yrs,457,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,40.3150749206543 +1987,48,0,suicide,21-24 yrs,188,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,16.58475685119629 +1987,48,0,homicide,21-24 yrs,295,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,26.023954391479492 +1987,48,0,other external,21-24 yrs,205,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,18.084442138671875 +1987,48,0,internal,21-24 yrs,372,1133571,22.562267303466797,1,0.1740686148405075,1.6100000143051147,0.28999999165534973,0.6100000143051147,2.509999990463257,32.816646575927734 +1988,48,0,MVA,15-17 yrs,262,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,32.80807113647461 +1988,48,0,suicide,15-17 yrs,82,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,10.26817512512207 +1988,48,0,homicide,15-17 yrs,77,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,9.64206600189209 +1988,48,0,other external,15-17 yrs,78,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,9.7672882080078125 +1988,48,0,internal,15-17 yrs,116,798584,16.032928466796875,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,14.525710105895996 +1988,48,0,all,18-20 yrs,943,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,118.44070434570312 +1988,48,0,MVA,18-20 yrs,403,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,50.616756439208984 +1988,48,0,suicide,18-20 yrs,130,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,16.327985763549805 +1988,48,0,homicide,18-20 yrs,143,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,17.960784912109375 +1988,48,0,other external,18-20 yrs,108,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,13.564788818359375 +1988,48,0,internal,18-20 yrs,159,796179,18.989200592041016,0,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,19.970382690429688 +1988,48,0,all,21-24 yrs,1451,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,133.03041076660156 +1988,48,0,MVA,21-24 yrs,424,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,38.87311935424805 +1988,48,0,suicide,21-24 yrs,215,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,19.711605072021484 +1988,48,0,homicide,21-24 yrs,320,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,29.33820343017578 +1988,48,0,other external,21-24 yrs,177,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,16.227693557739258 +1988,48,0,internal,21-24 yrs,315,1090728,22.563636779785156,1,0.16715294122695923,1.6100000143051147,0.2800000011920929,0.5899999737739563,2.4700000286102295,28.879793167114258 +1989,48,0,MVA,15-17 yrs,236,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,30.948911666870117 +1989,48,0,suicide,15-17 yrs,90,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,11.80255126953125 +1989,48,0,homicide,15-17 yrs,82,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,10.753435134887695 +1989,48,0,other external,15-17 yrs,83,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,10.884574890136719 +1989,48,0,internal,15-17 yrs,126,762547,16.024349212646484,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,16.523571014404297 +1989,48,0,all,18-20 yrs,988,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,119.20503997802734 +1989,48,0,MVA,18-20 yrs,390,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,47.054622650146484 +1989,48,0,suicide,18-20 yrs,141,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,17.012056350708008 +1989,48,0,homicide,18-20 yrs,165,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,19.907724380493164 +1989,48,0,other external,18-20 yrs,112,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,13.51312255859375 +1989,48,0,internal,18-20 yrs,180,828824,18.99053955078125,0,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,21.717517852783203 +1989,48,0,all,21-24 yrs,1341,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,125.58378601074219 +1989,48,0,MVA,21-24 yrs,379,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,35.493106842041016 +1989,48,0,suicide,21-24 yrs,187,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,17.51243019104004 +1989,48,0,homicide,21-24 yrs,285,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,26.690067291259766 +1989,48,0,other external,21-24 yrs,157,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,14.702948570251465 +1989,48,0,internal,21-24 yrs,333,1067813,22.54599380493164,1,0.15946930646896362,1.6200000047683716,0.25999999046325684,0.5799999833106995,2.4600000381469727,31.18523597717285 +1990,48,0,MVA,15-17 yrs,192,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,25.25132942199707 +1990,48,0,suicide,15-17 yrs,93,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,12.231112480163574 +1990,48,0,homicide,15-17 yrs,138,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,18.14939308166504 +1990,48,0,other external,15-17 yrs,83,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,10.915939331054688 +1990,48,0,internal,15-17 yrs,131,760356,16.001781463623047,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,17.228771209716797 +1990,48,0,all,18-20 yrs,1032,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,123.38829803466797 +1990,48,0,MVA,18-20 yrs,374,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,44.71630096435547 +1990,48,0,suicide,18-20 yrs,116,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,13.869227409362793 +1990,48,0,homicide,18-20 yrs,236,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,28.216703414916992 +1990,48,0,other external,18-20 yrs,133,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,15.901786804199219 +1990,48,0,internal,18-20 yrs,173,836384,19.024921417236328,0,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,20.68427848815918 +1990,48,0,all,21-24 yrs,1305,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,123.57978057861328 +1990,48,0,MVA,21-24 yrs,374,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,35.41673278808594 +1990,48,0,suicide,21-24 yrs,176,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,16.666698455810547 +1990,48,0,homicide,21-24 yrs,306,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,28.977327346801758 +1990,48,0,other external,21-24 yrs,155,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,14.678057670593262 +1990,48,0,internal,21-24 yrs,294,1055998,22.510578155517578,1,0.1512945294380188,1.6399999856948853,0.25999999046325684,0.5799999833106995,2.4700000286102295,27.840961456298828 +1991,48,0,MVA,15-17 yrs,181,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,23.686758041381836 +1991,48,0,suicide,15-17 yrs,90,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,11.777946472167969 +1991,48,0,homicide,15-17 yrs,168,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,21.98550033569336 +1991,48,0,other external,15-17 yrs,70,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,9.160625457763672 +1991,48,0,internal,15-17 yrs,119,764140,16.004154205322266,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,15.573062896728516 +1991,48,0,all,18-20 yrs,1014,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,123.25899505615234 +1991,48,0,MVA,18-20 yrs,337,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,40.96477508544922 +1991,48,0,suicide,18-20 yrs,121,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,14.708420753479004 +1991,48,0,homicide,18-20 yrs,272,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,33.06355667114258 +1991,48,0,other external,18-20 yrs,106,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,12.885063171386719 +1991,48,0,internal,18-20 yrs,178,822658,19.042787551879883,0,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,21.63718032836914 +1991,48,0,all,21-24 yrs,1493,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,140.89291381835938 +1991,48,0,MVA,21-24 yrs,425,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,40.10682678222656 +1991,48,0,suicide,21-24 yrs,206,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,19.440013885498047 +1991,48,0,homicide,21-24 yrs,396,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,37.37012481689453 +1991,48,0,other external,21-24 yrs,140,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,13.211660385131836 +1991,48,0,internal,21-24 yrs,326,1059670,22.4810733795166,1,0.1451849788427353,1.600000023841858,0.25,0.550000011920929,2.4000000953674316,30.764293670654297 +1992,48,0,MVA,15-17 yrs,178,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,22.777265548706055 +1992,48,0,suicide,15-17 yrs,80,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,10.23697280883789 +1992,48,0,homicide,15-17 yrs,154,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,19.706172943115234 +1992,48,0,other external,15-17 yrs,63,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,8.061615943908691 +1992,48,0,internal,15-17 yrs,131,781481,16.002443313598633,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,16.763044357299805 +1992,48,0,all,18-20 yrs,1001,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,124.36837768554688 +1992,48,0,MVA,18-20 yrs,316,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,39.261146545410156 +1992,48,0,suicide,18-20 yrs,138,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,17.145689010620117 +1992,48,0,homicide,18-20 yrs,265,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,32.9246940612793 +1992,48,0,other external,18-20 yrs,105,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,13.045633316040039 +1992,48,0,internal,18-20 yrs,177,804867,19.032548904418945,0,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,21.9912109375 +1992,48,0,all,21-24 yrs,1400,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,129.63514709472656 +1992,48,0,MVA,21-24 yrs,409,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,37.87198257446289 +1992,48,0,suicide,21-24 yrs,197,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,18.241518020629883 +1992,48,0,homicide,21-24 yrs,319,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,29.53829574584961 +1992,48,0,other external,21-24 yrs,151,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,13.982076644897461 +1992,48,0,internal,21-24 yrs,324,1079954,22.460309982299805,1,0.14094221591949463,1.649999976158142,0.23999999463558197,0.550000011920929,2.450000047683716,30.001277923583984 +1993,48,0,MVA,15-17 yrs,191,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,24.023706436157227 +1993,48,0,suicide,15-17 yrs,77,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,9.68494987487793 +1993,48,0,homicide,15-17 yrs,164,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,20.627685546875 +1993,48,0,other external,15-17 yrs,78,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,9.810728073120117 +1993,48,0,internal,15-17 yrs,126,795048,15.998381614685059,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,15.848099708557129 +1993,48,0,all,18-20 yrs,926,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,114.45621490478516 +1993,48,0,MVA,18-20 yrs,282,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,34.855995178222656 +1993,48,0,suicide,18-20 yrs,119,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,14.708736419677734 +1993,48,0,homicide,18-20 yrs,257,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,31.765926361083984 +1993,48,0,other external,18-20 yrs,97,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,11.989474296569824 +1993,48,0,internal,18-20 yrs,171,809043,19.012039184570312,0,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,21.136083602905273 +1993,48,0,all,21-24 yrs,1392,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,126.68515014648438 +1993,48,0,MVA,21-24 yrs,365,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,33.218448638916016 +1993,48,0,suicide,21-24 yrs,244,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,22.20630645751953 +1993,48,0,homicide,21-24 yrs,320,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,29.123023986816406 +1993,48,0,other external,21-24 yrs,140,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,12.74132251739502 +1993,48,0,internal,21-24 yrs,323,1098787,22.48291015625,1,0.1368456333875656,1.600000023841858,0.20000000298023224,0.5299999713897705,2.3299999237060547,29.39605140686035 +1994,48,0,MVA,15-17 yrs,209,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,25.443403244018555 +1994,48,0,suicide,15-17 yrs,87,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,10.591273307800293 +1994,48,0,homicide,15-17 yrs,157,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,19.112987518310547 +1994,48,0,other external,15-17 yrs,69,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,8.399974822998047 +1994,48,0,internal,15-17 yrs,142,821431,15.999457359313965,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,17.28690528869629 +1994,48,0,all,18-20 yrs,942,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,114.920654296875 +1994,48,0,MVA,18-20 yrs,292,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,35.622962951660156 +1994,48,0,suicide,18-20 yrs,123,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,15.005562782287598 +1994,48,0,homicide,18-20 yrs,255,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,31.109094619750977 +1994,48,0,other external,18-20 yrs,98,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,11.955652236938477 +1994,48,0,internal,18-20 yrs,174,819696,19.012916564941406,0,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,21.22738265991211 +1994,48,0,all,21-24 yrs,1320,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,119.490966796875 +1994,48,0,MVA,21-24 yrs,377,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,34.12734603881836 +1994,48,0,suicide,21-24 yrs,212,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,19.19097328186035 +1994,48,0,homicide,21-24 yrs,291,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,26.342327117919922 +1994,48,0,other external,21-24 yrs,125,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,11.31543254852295 +1994,48,0,internal,21-24 yrs,315,1104686,22.516685485839844,1,0.13342911005020142,1.600000023841858,0.20000000298023224,0.5099999904632568,2.309999942779541,28.514890670776367 +1995,48,0,MVA,15-17 yrs,217,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,25.397613525390625 +1995,48,0,suicide,15-17 yrs,82,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,9.597254753112793 +1995,48,0,homicide,15-17 yrs,146,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,17.08779525756836 +1995,48,0,other external,15-17 yrs,70,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,8.192778587341309 +1995,48,0,internal,15-17 yrs,157,854411,15.983749389648438,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,18.37523078918457 +1995,48,0,all,18-20 yrs,864,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,102.40703582763672 +1995,48,0,MVA,18-20 yrs,259,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,30.698406219482422 +1995,48,0,suicide,18-20 yrs,113,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,13.393513679504395 +1995,48,0,homicide,18-20 yrs,216,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,25.60175895690918 +1995,48,0,other external,18-20 yrs,93,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,11.022979736328125 +1995,48,0,internal,18-20 yrs,183,843692,19.01058006286621,0,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,21.690380096435547 +1995,48,0,all,21-24 yrs,1250,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,113.67066955566406 +1995,48,0,MVA,21-24 yrs,349,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,31.73685073852539 +1995,48,0,suicide,21-24 yrs,177,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,16.095767974853516 +1995,48,0,homicide,21-24 yrs,243,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,22.097578048706055 +1995,48,0,other external,21-24 yrs,144,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,13.094861030578613 +1995,48,0,internal,21-24 yrs,337,1099668,22.525766372680664,1,0.12975193560123444,1.5499999523162842,0.1899999976158142,0.49000000953674316,2.2300000190734863,30.645612716674805 +1996,48,0,MVA,15-17 yrs,279,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,31.303293228149414 +1996,48,0,suicide,15-17 yrs,81,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,9.088052749633789 +1996,48,0,homicide,15-17 yrs,107,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,12.005206108093262 +1996,48,0,other external,15-17 yrs,57,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,6.395296573638916 +1996,48,0,internal,15-17 yrs,153,891280,15.992981910705566,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,17.166322708129883 +1996,48,0,all,18-20 yrs,914,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,106.58158874511719 +1996,48,0,MVA,18-20 yrs,350,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,40.81351852416992 +1996,48,0,suicide,18-20 yrs,130,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,15.159306526184082 +1996,48,0,homicide,18-20 yrs,166,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,19.357269287109375 +1996,48,0,other external,18-20 yrs,96,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,11.194564819335938 +1996,48,0,internal,18-20 yrs,172,857559,19.005157470703125,0,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,20.056928634643555 +1996,48,0,all,21-24 yrs,1139,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,104.53780364990234 +1996,48,0,MVA,21-24 yrs,385,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,35.33543014526367 +1996,48,0,suicide,21-24 yrs,152,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,13.950611114501953 +1996,48,0,homicide,21-24 yrs,198,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,18.17250633239746 +1996,48,0,other external,21-24 yrs,124,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,11.380762100219727 +1996,48,0,internal,21-24 yrs,280,1089558,22.496822357177734,1,0.1260305643081665,1.559999942779541,0.2199999988079071,0.49000000953674316,2.259999990463257,25.69849395751953 +1970,49,0,MVA,15-17 yrs,30,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,42.048606872558594 +1970,49,0,suicide,15-17 yrs,8,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,11.21296215057373 +1970,49,0,homicide,15-17 yrs,1,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,1.4016202688217163 +1970,49,0,other external,15-17 yrs,19,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,26.63078498840332 +1970,49,0,internal,15-17 yrs,15,71346,15.987357139587402,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,21.024303436279297 +1970,49,0,all,18-20 yrs,103,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,158.20355224609375 +1970,49,0,MVA,18-20 yrs,46,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,70.65400695800781 +1970,49,0,suicide,18-20 yrs,11,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,16.895524978637695 +1970,49,0,homicide,18-20 yrs,3,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,4.607870101928711 +1970,49,0,other external,18-20 yrs,22,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,33.79104995727539 +1970,49,0,internal,18-20 yrs,21,65106,18.936717987060547,0,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,32.25509262084961 +1970,49,0,all,21-24 yrs,123,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,157.43597412109375 +1970,49,0,MVA,21-24 yrs,50,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,63.99836349487305 +1970,49,0,suicide,21-24 yrs,13,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,16.63957405090332 +1970,49,0,homicide,21-24 yrs,8,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,10.239737510681152 +1970,49,0,other external,21-24 yrs,19,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,24.319377899169922 +1970,49,0,internal,21-24 yrs,33,78127,22.394933700561523,1,0.3324742019176483,0.75,0.11999999731779099,0.5699999928474426,1.440000057220459,42.23891830444336 +1971,49,0,MVA,15-17 yrs,25,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,34.0622673034668 +1971,49,0,suicide,15-17 yrs,4,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,5.449962615966797 +1971,49,0,homicide,15-17 yrs,1,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,1.3624906539916992 +1971,49,0,other external,15-17 yrs,17,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,23.16234016418457 +1971,49,0,internal,15-17 yrs,19,73395,15.992696762084961,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,25.88732147216797 +1971,49,0,all,18-20 yrs,80,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,109.70475769042969 +1971,49,0,MVA,18-20 yrs,29,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,39.767974853515625 +1971,49,0,suicide,18-20 yrs,9,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,12.341785430908203 +1971,49,0,homicide,18-20 yrs,5,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,6.8565473556518555 +1971,49,0,other external,18-20 yrs,19,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,26.054880142211914 +1971,49,0,internal,18-20 yrs,18,72923,18.953060150146484,0,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,24.683570861816406 +1971,49,0,all,21-24 yrs,102,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,120.4534683227539 +1971,49,0,MVA,21-24 yrs,40,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,47.236656188964844 +1971,49,0,suicide,21-24 yrs,14,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,16.53282928466797 +1971,49,0,homicide,21-24 yrs,4,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,4.723665714263916 +1971,49,0,other external,21-24 yrs,15,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,17.7137451171875 +1971,49,0,internal,21-24 yrs,29,84680,22.572330474853516,1,0.3185184895992279,0.7699999809265137,0.15000000596046448,0.5799999833106995,1.5,34.24657440185547 +1972,49,0,MVA,15-17 yrs,42,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,55.57613754272461 +1972,49,0,suicide,15-17 yrs,6,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,7.939448356628418 +1972,49,0,homicide,15-17 yrs,6,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,7.939448356628418 +1972,49,0,other external,15-17 yrs,14,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,18.525379180908203 +1972,49,0,internal,15-17 yrs,16,75572,15.98074722290039,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,21.17186164855957 +1972,49,0,all,18-20 yrs,104,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,132.199462890625 +1972,49,0,MVA,18-20 yrs,66,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,83.89581298828125 +1972,49,0,suicide,18-20 yrs,2,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,2.54229736328125 +1972,49,0,homicide,18-20 yrs,2,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,2.54229736328125 +1972,49,0,other external,18-20 yrs,10,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,12.711487770080566 +1972,49,0,internal,18-20 yrs,24,78669,18.9780216217041,0,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,30.507570266723633 +1972,49,0,all,21-24 yrs,94,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,110.0032730102539 +1972,49,0,MVA,21-24 yrs,38,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,44.46940994262695 +1972,49,0,suicide,21-24 yrs,14,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,16.383466720581055 +1972,49,0,homicide,21-24 yrs,4,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,4.680990695953369 +1972,49,0,other external,21-24 yrs,12,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,14.04297161102295 +1972,49,0,internal,21-24 yrs,26,85452,22.519718170166016,1,0.3086124360561371,0.7900000214576721,0.15000000596046448,0.5699999928474426,1.5199999809265137,30.426437377929688 +1973,49,0,MVA,15-17 yrs,26,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,33.462894439697266 +1973,49,0,suicide,15-17 yrs,4,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,5.14813756942749 +1973,49,0,homicide,15-17 yrs,1,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,1.2870343923568726 +1973,49,0,other external,15-17 yrs,25,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,32.17586135864258 +1973,49,0,internal,15-17 yrs,21,77698,15.988030433654785,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,27.02772331237793 +1973,49,0,all,18-20 yrs,115,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,140.7330322265625 +1973,49,0,MVA,18-20 yrs,60,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,73.425933837890625 +1973,49,0,suicide,18-20 yrs,5,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,6.118827819824219 +1973,49,0,homicide,18-20 yrs,4,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,4.89506196975708 +1973,49,0,other external,18-20 yrs,26,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,31.817903518676758 +1973,49,0,internal,18-20 yrs,20,81715,18.99694061279297,0,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,24.475311279296875 +1973,49,0,all,21-24 yrs,108,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,122.27014923095703 +1973,49,0,MVA,21-24 yrs,50,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,56.60655212402344 +1973,49,0,suicide,21-24 yrs,7,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,7.924917221069336 +1973,49,0,homicide,21-24 yrs,5,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,5.6606550216674805 +1973,49,0,other external,21-24 yrs,19,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,21.510488510131836 +1973,49,0,internal,21-24 yrs,27,88329,22.44578742980957,1,0.29054051637649536,0.8199999928474426,0.15000000596046448,0.5799999833106995,1.559999942779541,30.567537307739258 +1974,49,0,MVA,15-17 yrs,35,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,44.380760192871094 +1974,49,0,suicide,15-17 yrs,4,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,5.072086811065674 +1974,49,0,homicide,15-17 yrs,2,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,2.536043405532837 +1974,49,0,other external,15-17 yrs,22,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,27.8964786529541 +1974,49,0,internal,15-17 yrs,17,78863,16.004894256591797,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,21.55636978149414 +1974,49,0,all,18-20 yrs,78,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,93.70719909667969 +1974,49,0,MVA,18-20 yrs,33,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,39.645355224609375 +1974,49,0,suicide,18-20 yrs,5,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,6.006871700286865 +1974,49,0,homicide,18-20 yrs,7,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,8.40962028503418 +1974,49,0,other external,18-20 yrs,21,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,25.228862762451172 +1974,49,0,internal,18-20 yrs,12,83238,18.99878692626953,0,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,14.416492462158203 +1974,49,0,all,21-24 yrs,100,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,106.73155975341797 +1974,49,0,MVA,21-24 yrs,28,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,29.884836196899414 +1974,49,0,suicide,21-24 yrs,12,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,12.80778694152832 +1974,49,0,homicide,21-24 yrs,6,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,6.40389347076416 +1974,49,0,other external,21-24 yrs,21,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,22.41362762451172 +1974,49,0,internal,21-24 yrs,33,93693,22.390220642089844,1,0.2616632878780365,0.8999999761581421,0.14000000059604645,0.5699999928474426,1.6100000143051147,35.22141647338867 +1975,49,0,MVA,15-17 yrs,19,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,24.052764892578125 +1975,49,0,suicide,15-17 yrs,11,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,13.925284385681152 +1975,49,0,homicide,15-17 yrs,2,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,2.531869888305664 +1975,49,0,other external,15-17 yrs,13,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,16.457155227661133 +1975,49,0,internal,15-17 yrs,25,78993,16.004709243774414,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.648374557495117 +1975,49,0,all,18-20 yrs,91,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,106.71983337402344 +1975,49,0,MVA,18-20 yrs,27,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.664125442504883 +1975,49,0,suicide,18-20 yrs,14,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,16.41843605041504 +1975,49,0,homicide,18-20 yrs,2,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,2.3454906940460205 +1975,49,0,other external,18-20 yrs,21,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,24.627653121948242 +1975,49,0,internal,18-20 yrs,27,85270,18.981868743896484,0,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,31.664125442504883 +1975,49,0,all,21-24 yrs,144,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,141.2595672607422 +1975,49,0,MVA,21-24 yrs,42,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,41.200706481933594 +1975,49,0,suicide,21-24 yrs,13,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,12.752599716186523 +1975,49,0,homicide,21-24 yrs,2,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,1.9619383811950684 +1975,49,0,other external,21-24 yrs,33,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,32.37198257446289 +1975,49,0,internal,21-24 yrs,54,101940,22.418560028076172,1,0.23977693915367126,0.8899999856948853,0.15000000596046448,0.5899999737739563,1.6299999952316284,52.97233581542969 +1976,49,0,MVA,15-17 yrs,24,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,29.946470260620117 +1976,49,0,suicide,15-17 yrs,5,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,6.2388482093811035 +1976,49,0,homicide,15-17 yrs,5,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,6.2388482093811035 +1976,49,0,other external,15-17 yrs,11,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,13.725465774536133 +1976,49,0,internal,15-17 yrs,23,80143,15.991277694702148,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,28.698701858520508 +1976,49,0,all,18-20 yrs,84,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,96.285003662109375 +1976,49,0,MVA,18-20 yrs,36,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,41.2650032043457 +1976,49,0,suicide,18-20 yrs,8,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,9.170000076293945 +1976,49,0,homicide,18-20 yrs,5,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,5.731250286102295 +1976,49,0,other external,18-20 yrs,18,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,20.63250160217285 +1976,49,0,internal,18-20 yrs,17,87241,18.98516845703125,0,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,19.486249923706055 +1976,49,0,all,21-24 yrs,114,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,104.82373046875 +1976,49,0,MVA,21-24 yrs,33,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,30.343711853027344 +1976,49,0,suicide,21-24 yrs,12,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,11.034076690673828 +1976,49,0,homicide,21-24 yrs,10,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,9.195064544677734 +1976,49,0,other external,21-24 yrs,20,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,18.39012908935547 +1976,49,0,internal,21-24 yrs,39,108754,22.459789276123047,1,0.22671350836753845,0.9300000071525574,0.15000000596046448,0.6000000238418579,1.6799999475479126,35.860748291015625 +1977,49,0,MVA,15-17 yrs,28,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,34.547000885009766 +1977,49,0,suicide,15-17 yrs,3,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,3.7014646530151367 +1977,49,0,homicide,15-17 yrs,1,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,1.2338215112686157 +1977,49,0,other external,15-17 yrs,15,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,18.507322311401367 +1977,49,0,internal,15-17 yrs,12,81049,15.998112678527832,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,14.805858612060547 +1977,49,0,all,18-20 yrs,115,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,129.5774688720703 +1977,49,0,MVA,18-20 yrs,50,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,56.33802795410156 +1977,49,0,suicide,18-20 yrs,15,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,16.901409149169922 +1977,49,0,homicide,18-20 yrs,4,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,4.507042407989502 +1977,49,0,other external,18-20 yrs,19,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,21.408451080322266 +1977,49,0,internal,18-20 yrs,27,88750,18.998682022094727,0,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,30.422534942626953 +1977,49,0,all,21-24 yrs,131,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,114.77435302734375 +1977,49,0,MVA,21-24 yrs,47,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,41.178585052490234 +1977,49,0,suicide,21-24 yrs,22,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,19.275081634521484 +1977,49,0,homicide,21-24 yrs,5,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,4.380700588226318 +1977,49,0,other external,21-24 yrs,35,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,30.66490364074707 +1977,49,0,internal,21-24 yrs,22,114137,22.48911476135254,1,0.21287128329277039,0.9700000286102295,0.14000000059604645,0.5899999737739563,1.7000000476837158,19.275081634521484 +1978,49,0,MVA,15-17 yrs,44,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,54.05670928955078 +1978,49,0,suicide,15-17 yrs,3,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,3.6856849193573 +1978,49,0,homicide,15-17 yrs,4,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,4.914246559143066 +1978,49,0,other external,15-17 yrs,14,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,17.199861526489258 +1978,49,0,internal,15-17 yrs,10,81396,16.021425247192383,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,12.285615921020508 +1978,49,0,all,18-20 yrs,97,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,108.91900634765625 +1978,49,0,MVA,18-20 yrs,52,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,58.38957214355469 +1978,49,0,suicide,18-20 yrs,10,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,11.228763580322266 +1978,49,0,homicide,18-20 yrs,4,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,4.4915056228637695 +1978,49,0,other external,18-20 yrs,15,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,16.8431453704834 +1978,49,0,internal,18-20 yrs,16,89057,18.99409294128418,0,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,17.966022491455078 +1978,49,0,all,21-24 yrs,148,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,124.41679382324219 +1978,49,0,MVA,21-24 yrs,53,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,44.554664611816406 +1978,49,0,suicide,21-24 yrs,25,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,21.01634979248047 +1978,49,0,homicide,21-24 yrs,8,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,6.725232124328613 +1978,49,0,other external,21-24 yrs,34,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,28.582237243652344 +1978,49,0,internal,21-24 yrs,28,118955,22.484283447265625,1,0.19785276055335999,0.9599999785423279,0.15000000596046448,0.6100000143051147,1.7200000286102295,23.538312911987305 +1979,49,0,MVA,15-17 yrs,25,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,31.233211517333984 +1979,49,0,suicide,15-17 yrs,8,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,9.994627952575684 +1979,49,0,homicide,15-17 yrs,3,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,3.747985363006592 +1979,49,0,other external,15-17 yrs,4,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,4.997313976287842 +1979,49,0,internal,15-17 yrs,14,80043,16.026622772216797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,17.490598678588867 +1979,49,0,all,18-20 yrs,102,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,112.46113586425781 +1979,49,0,MVA,18-20 yrs,46,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,50.71776580810547 +1979,49,0,suicide,18-20 yrs,11,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,12.128161430358887 +1979,49,0,homicide,18-20 yrs,5,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,5.512800693511963 +1979,49,0,other external,18-20 yrs,21,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,23.153762817382812 +1979,49,0,internal,18-20 yrs,19,90698,18.976085662841797,0,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,20.94864273071289 +1979,49,0,all,21-24 yrs,140,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,113.75270080566406 +1979,49,0,MVA,21-24 yrs,53,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,43.06352233886719 +1979,49,0,suicide,21-24 yrs,23,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,18.687944412231445 +1979,49,0,homicide,21-24 yrs,14,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,11.375269889831543 +1979,49,0,other external,21-24 yrs,27,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,21.938020706176758 +1979,49,0,internal,21-24 yrs,23,123074,22.488534927368164,1,0.17768594622612,0.9700000286102295,0.1599999964237213,0.6200000047683716,1.75,18.687944412231445 +1980,49,0,MVA,15-17 yrs,27,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,34.60429382324219 +1980,49,0,suicide,15-17 yrs,2,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,2.5632810592651367 +1980,49,0,homicide,15-17 yrs,1,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,1.2816405296325684 +1980,49,0,other external,15-17 yrs,11,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,14.098045349121094 +1980,49,0,internal,15-17 yrs,17,78025,16.02676010131836,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,21.787887573242188 +1980,49,0,all,18-20 yrs,95,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,106.56077575683594 +1980,49,0,MVA,18-20 yrs,46,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,51.59785079956055 +1980,49,0,suicide,18-20 yrs,13,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,14.582001686096191 +1980,49,0,homicide,18-20 yrs,9,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,10.095232009887695 +1980,49,0,other external,18-20 yrs,10,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,11.216923713684082 +1980,49,0,internal,18-20 yrs,17,89151,18.99763298034668,0,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,19.068771362304688 +1980,49,0,all,21-24 yrs,140,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,110.38397979736328 +1980,49,0,MVA,21-24 yrs,51,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,40.211307525634766 +1980,49,0,suicide,21-24 yrs,24,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,18.9229679107666 +1980,49,0,homicide,21-24 yrs,7,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,5.519198894500732 +1980,49,0,other external,21-24 yrs,28,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,22.07679557800293 +1980,49,0,internal,21-24 yrs,30,126830,22.5115909576416,1,0.15655338764190674,0.9599999785423279,0.14000000059604645,0.6000000238418579,1.7100000381469727,23.653709411621094 +1981,49,0,MVA,15-17 yrs,23,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,30.234514236450195 +1981,49,0,suicide,15-17 yrs,8,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,10.516352653503418 +1981,49,0,homicide,15-17 yrs,4,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.258176326751709 +1981,49,0,other external,15-17 yrs,10,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,13.145441055297852 +1981,49,0,internal,15-17 yrs,21,76072,16.015300750732422,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,27.605426788330078 +1981,49,0,all,18-20 yrs,100,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,113.58473205566406 +1981,49,0,MVA,18-20 yrs,48,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,54.52067184448242 +1981,49,0,suicide,18-20 yrs,12,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,13.630167961120605 +1981,49,0,homicide,18-20 yrs,5,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.679236888885498 +1981,49,0,other external,18-20 yrs,15,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,17.037710189819336 +1981,49,0,internal,18-20 yrs,20,88040,19.046478271484375,0,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,22.716947555541992 +1981,49,0,all,21-24 yrs,138,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,110.19284057617188 +1981,49,0,MVA,21-24 yrs,57,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,45.51443099975586 +1981,49,0,suicide,21-24 yrs,22,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,17.566974639892578 +1981,49,0,homicide,21-24 yrs,7,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,5.589491844177246 +1981,49,0,other external,21-24 yrs,26,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,20.760969161987305 +1981,49,0,internal,21-24 yrs,26,125235,22.566247940063477,1,0.14631463587284088,1.0099999904632568,0.15000000596046448,0.5799999833106995,1.7400000095367432,20.760969161987305 +1982,49,0,MVA,15-17 yrs,29,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,38.40093231201172 +1982,49,0,suicide,15-17 yrs,9,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,11.91753101348877 +1982,49,0,homicide,15-17 yrs,2,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,2.6483402252197266 +1982,49,0,other external,15-17 yrs,13,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.214210510253906 +1982,49,0,internal,15-17 yrs,13,75519,15.993326187133789,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.214210510253906 +1982,49,0,all,18-20 yrs,84,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,99.37535858154297 +1982,49,0,MVA,18-20 yrs,37,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,43.77247619628906 +1982,49,0,suicide,18-20 yrs,11,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,13.013439178466797 +1982,49,0,homicide,18-20 yrs,8,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,9.464319229125977 +1982,49,0,other external,18-20 yrs,13,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,15.37951946258545 +1982,49,0,internal,18-20 yrs,15,84528,19.04894256591797,0,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,17.7455997467041 +1982,49,0,all,21-24 yrs,142,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,113.55548858642578 +1982,49,0,MVA,21-24 yrs,48,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,38.384952545166016 +1982,49,0,suicide,21-24 yrs,23,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,18.392789840698242 +1982,49,0,homicide,21-24 yrs,8,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,6.397492408752441 +1982,49,0,other external,21-24 yrs,31,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,24.790281295776367 +1982,49,0,internal,21-24 yrs,32,125049,22.53965950012207,1,0.13782383501529694,1.0099999904632568,0.15000000596046448,0.550000011920929,1.7100000381469727,25.589969635009766 +1983,49,0,MVA,15-17 yrs,26,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,34.08584213256836 +1983,49,0,suicide,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,homicide,15-17 yrs,3,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,3.9329819679260254 +1983,49,0,other external,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,internal,15-17 yrs,8,76278,15.983717918395996,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,10.48795223236084 +1983,49,0,all,18-20 yrs,80,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,99.80039978027344 +1983,49,0,MVA,18-20 yrs,31,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,38.67265319824219 +1983,49,0,suicide,18-20 yrs,11,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,13.722555160522461 +1983,49,0,homicide,18-20 yrs,4,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,4.990019798278809 +1983,49,0,other external,18-20 yrs,15,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,18.712574005126953 +1983,49,0,internal,18-20 yrs,19,80160,19.03251075744629,0,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,23.702594757080078 +1983,49,0,all,21-24 yrs,110,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,88.9917221069336 +1983,49,0,MVA,21-24 yrs,31,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,25.079484939575195 +1983,49,0,suicide,21-24 yrs,25,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,20.225391387939453 +1983,49,0,homicide,21-24 yrs,10,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,8.090156555175781 +1983,49,0,other external,21-24 yrs,17,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,13.753266334533691 +1983,49,0,internal,21-24 yrs,27,123607,22.514266967773438,1,0.35626375675201416,0.8799999952316284,0.14000000059604645,0.5,1.5199999809265137,21.84342384338379 +1984,49,0,MVA,15-17 yrs,28,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,35.92875671386719 +1984,49,0,suicide,15-17 yrs,11,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,14.114869117736816 +1984,49,0,homicide,15-17 yrs,1,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,1.2831699848175049 +1984,49,0,other external,15-17 yrs,6,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.699019432067871 +1984,49,0,internal,15-17 yrs,6,77932,15.9819974899292,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.699019432067871 +1984,49,0,all,18-20 yrs,74,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,94.76609802246094 +1984,49,0,MVA,18-20 yrs,36,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,46.10242462158203 +1984,49,0,suicide,18-20 yrs,8,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,10.244982719421387 +1984,49,0,homicide,18-20 yrs,3,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,3.8418686389923096 +1984,49,0,other external,18-20 yrs,16,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,20.489965438842773 +1984,49,0,internal,18-20 yrs,11,78087,19.0244083404541,0,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,14.086852073669434 +1984,49,0,all,21-24 yrs,128,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,105.10325622558594 +1984,49,0,MVA,21-24 yrs,34,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,27.918052673339844 +1984,49,0,suicide,21-24 yrs,30,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,24.633575439453125 +1984,49,0,homicide,21-24 yrs,9,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,7.390072822570801 +1984,49,0,other external,21-24 yrs,27,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,22.170217514038086 +1984,49,0,internal,21-24 yrs,28,121785,22.53301239013672,1,0.34151944518089294,0.8799999952316284,0.14000000059604645,0.5199999809265137,1.5299999713897705,22.991336822509766 +1985,49,0,MVA,15-17 yrs,19,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,23.66097640991211 +1985,49,0,suicide,15-17 yrs,11,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,13.69845962524414 +1985,49,0,homicide,15-17 yrs,1,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,1.2453144788742065 +1985,49,0,other external,15-17 yrs,7,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,8.717201232910156 +1985,49,0,internal,15-17 yrs,12,80301,15.968207359313965,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,14.943774223327637 +1985,49,0,all,18-20 yrs,69,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,89.13692474365234 +1985,49,0,MVA,18-20 yrs,29,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,37.46334457397461 +1985,49,0,suicide,18-20 yrs,13,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,16.793912887573242 +1985,49,0,homicide,18-20 yrs,5,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,6.459197044372559 +1985,49,0,other external,18-20 yrs,9,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,11.626555442810059 +1985,49,0,internal,18-20 yrs,13,77409,18.997907638549805,0,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,16.793912887573242 +1985,49,0,all,21-24 yrs,119,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,98.93170166015625 +1985,49,0,MVA,21-24 yrs,45,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,37.41114807128906 +1985,49,0,suicide,21-24 yrs,22,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,18.289894104003906 +1985,49,0,homicide,21-24 yrs,7,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,5.819511890411377 +1985,49,0,other external,21-24 yrs,26,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,21.61532974243164 +1985,49,0,internal,21-24 yrs,19,120285,22.58066177368164,1,0.32977575063705444,0.8999999761581421,0.15000000596046448,0.5299999713897705,1.5800000429153442,15.795818328857422 +1986,49,0,MVA,15-17 yrs,34,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,40.19245147705078 +1986,49,0,suicide,15-17 yrs,18,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,21.278356552124023 +1986,49,0,homicide,15-17 yrs,1,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,1.1821309328079224 +1986,49,0,other external,15-17 yrs,12,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,14.18557071685791 +1986,49,0,internal,15-17 yrs,15,84593,15.965765953063965,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,17.731964111328125 +1986,49,0,all,18-20 yrs,92,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,117.97291564941406 +1986,49,0,MVA,18-20 yrs,44,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,56.42182922363281 +1986,49,0,suicide,18-20 yrs,17,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,21.79934310913086 +1986,49,0,homicide,18-20 yrs,5,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,6.411571502685547 +1986,49,0,other external,18-20 yrs,11,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,14.105457305908203 +1986,49,0,internal,18-20 yrs,15,77984,18.98802375793457,0,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,19.23471450805664 +1986,49,0,all,21-24 yrs,114,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,98.790252685546875 +1986,49,0,MVA,21-24 yrs,40,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,34.663246154785156 +1986,49,0,suicide,21-24 yrs,26,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,22.531110763549805 +1986,49,0,homicide,21-24 yrs,5,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,4.3329057693481445 +1986,49,0,other external,21-24 yrs,14,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,12.132136344909668 +1986,49,0,internal,21-24 yrs,29,115396,22.58312225341797,1,0.32375794649124146,0.8899999856948853,0.17000000178813934,0.5199999809265137,1.5800000429153442,25.1308536529541 +1987,49,0,MVA,15-17 yrs,38,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,43.612491607666016 +1987,49,0,suicide,15-17 yrs,14,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.067760467529297 +1987,49,0,homicide,15-17 yrs,0,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,0 +1987,49,0,other external,15-17 yrs,5,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,5.738485813140869 +1987,49,0,internal,15-17 yrs,14,87131,15.99332046508789,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.067760467529297 +1987,49,0,all,18-20 yrs,89,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,111.79780578613281 +1987,49,0,MVA,18-20 yrs,36,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,45.22158432006836 +1987,49,0,suicide,18-20 yrs,18,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,22.61079216003418 +1987,49,0,homicide,18-20 yrs,7,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,8.793086051940918 +1987,49,0,other external,18-20 yrs,15,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,18.842327117919922 +1987,49,0,internal,18-20 yrs,13,79608,18.97873306274414,0,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,16.33001708984375 +1987,49,0,all,21-24 yrs,114,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,104.11339569091797 +1987,49,0,MVA,21-24 yrs,35,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,31.964637756347656 +1987,49,0,suicide,21-24 yrs,20,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,18.265506744384766 +1987,49,0,homicide,21-24 yrs,7,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,6.392927646636963 +1987,49,0,other external,21-24 yrs,25,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,22.831884384155273 +1987,49,0,internal,21-24 yrs,27,109496,22.55719757080078,1,0.312358021736145,0.8399999737739563,0.15000000596046448,0.5,1.4900000095367432,24.658435821533203 +1988,49,0,MVA,15-17 yrs,29,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,33.08500671386719 +1988,49,0,suicide,15-17 yrs,11,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,12.549485206604004 +1988,49,0,homicide,15-17 yrs,2,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,2.281724452972412 +1988,49,0,other external,15-17 yrs,5,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,5.704311370849609 +1988,49,0,internal,15-17 yrs,12,87653,16.013986587524414,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,13.690346717834473 +1988,49,0,all,18-20 yrs,71,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,85.9845199584961 +1988,49,0,MVA,18-20 yrs,21,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,25.43204116821289 +1988,49,0,suicide,18-20 yrs,19,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,23.00994300842285 +1988,49,0,homicide,18-20 yrs,3,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,3.6331489086151123 +1988,49,0,other external,18-20 yrs,13,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,15.743644714355469 +1988,49,0,internal,18-20 yrs,15,82573,18.958667755126953,0,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,18.16574478149414 +1988,49,0,all,21-24 yrs,81,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,75.25922393798828 +1988,49,0,MVA,21-24 yrs,34,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,31.59029197692871 +1988,49,0,suicide,21-24 yrs,16,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,14.866020202636719 +1988,49,0,homicide,21-24 yrs,5,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,4.645631313323975 +1988,49,0,other external,21-24 yrs,12,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,11.149515151977539 +1988,49,0,internal,21-24 yrs,14,107628,22.528579711914062,1,0.29994818568229675,0.8299999833106995,0.14000000059604645,0.49000000953674316,1.4500000476837158,13.007767677307129 +1989,49,0,MVA,15-17 yrs,28,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,31.900833129882812 +1989,49,0,suicide,15-17 yrs,12,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.671786308288574 +1989,49,0,homicide,15-17 yrs,2,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,2.2786309719085693 +1989,49,0,other external,15-17 yrs,11,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,12.532470703125 +1989,49,0,internal,15-17 yrs,15,87772,15.993721961975098,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,17.089733123779297 +1989,49,0,all,18-20 yrs,89,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,101.2790756225586 +1989,49,0,MVA,18-20 yrs,43,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,48.932586669921875 +1989,49,0,suicide,18-20 yrs,13,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,14.793572425842285 +1989,49,0,homicide,18-20 yrs,5,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,5.689835548400879 +1989,49,0,other external,18-20 yrs,11,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,12.517638206481934 +1989,49,0,internal,18-20 yrs,17,87876,18.950702667236328,0,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,19.345441818237305 +1989,49,0,all,21-24 yrs,90,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,83.653228759765625 +1989,49,0,MVA,21-24 yrs,32,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,29.743370056152344 +1989,49,0,suicide,21-24 yrs,15,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.942204475402832 +1989,49,0,homicide,21-24 yrs,6,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,5.5768818855285645 +1989,49,0,other external,21-24 yrs,14,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,13.012724876403809 +1989,49,0,internal,21-24 yrs,23,107587,22.504568099975586,1,0.2861602306365967,0.8199999928474426,0.12999999523162842,0.4699999988079071,1.4199999570846558,21.378047943115234 +1990,49,0,MVA,15-17 yrs,35,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,38.386451721191406 +1990,49,0,suicide,15-17 yrs,19,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,20.838359832763672 +1990,49,0,homicide,15-17 yrs,1,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,1.0967557430267334 +1990,49,0,other external,15-17 yrs,7,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,7.677290439605713 +1990,49,0,internal,15-17 yrs,9,91178,15.976211547851562,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,9.87080192565918 +1990,49,0,all,18-20 yrs,79,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,85.90691375732422 +1990,49,0,MVA,18-20 yrs,37,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,40.234886169433594 +1990,49,0,suicide,18-20 yrs,18,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,19.573728561401367 +1990,49,0,homicide,18-20 yrs,5,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,5.4371466636657715 +1990,49,0,other external,18-20 yrs,4,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,4.349717140197754 +1990,49,0,internal,18-20 yrs,15,91960,18.989484786987305,0,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,16.311439514160156 +1990,49,0,all,21-24 yrs,94,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,85.29016876220703 +1990,49,0,MVA,21-24 yrs,29,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,26.312923431396484 +1990,49,0,suicide,21-24 yrs,32,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,29.034950256347656 +1990,49,0,homicide,21-24 yrs,4,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,3.629368782043457 +1990,49,0,other external,21-24 yrs,8,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,7.258737564086914 +1990,49,0,internal,21-24 yrs,21,110212,22.491535186767578,1,0.27149099111557007,0.800000011920929,0.11999999731779099,0.46000000834465027,1.3899999856948853,19.05418586730957 +1991,49,0,MVA,15-17 yrs,22,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,22.731029510498047 +1991,49,0,suicide,15-17 yrs,14,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,14.465200424194336 +1991,49,0,homicide,15-17 yrs,3,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,3.0996859073638916 +1991,49,0,other external,15-17 yrs,9,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,9.299057960510254 +1991,49,0,internal,15-17 yrs,11,96784,15.97475814819336,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,11.365514755249023 +1991,49,0,all,18-20 yrs,70,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,74.0999526977539 +1991,49,0,MVA,18-20 yrs,28,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,29.63998031616211 +1991,49,0,suicide,18-20 yrs,16,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,16.937131881713867 +1991,49,0,homicide,18-20 yrs,5,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,5.292853355407715 +1991,49,0,other external,18-20 yrs,7,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,7.409995079040527 +1991,49,0,internal,18-20 yrs,14,94467,19.030221939086914,0,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,14.819990158081055 +1991,49,0,all,21-24 yrs,94,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,82.961181640625 +1991,49,0,MVA,21-24 yrs,33,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,29.124671936035156 +1991,49,0,suicide,21-24 yrs,36,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,31.772369384765625 +1991,49,0,homicide,21-24 yrs,6,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,5.2953948974609375 +1991,49,0,other external,21-24 yrs,7,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,6.177960395812988 +1991,49,0,internal,21-24 yrs,12,113306,22.492021560668945,1,0.26052767038345337,0.800000011920929,0.11999999731779099,0.4300000071525574,1.340000033378601,10.590789794921875 +1992,49,0,MVA,15-17 yrs,30,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,28.518465042114258 +1992,49,0,suicide,15-17 yrs,20,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,19.012310028076172 +1992,49,0,homicide,15-17 yrs,4,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,3.802462100982666 +1992,49,0,other external,15-17 yrs,10,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,9.506155014038086 +1992,49,0,internal,15-17 yrs,16,105195,15.967803001403809,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,15.209848403930664 +1992,49,0,all,18-20 yrs,69,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,71.62506103515625 +1992,49,0,MVA,18-20 yrs,25,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,25.951108932495117 +1992,49,0,suicide,18-20 yrs,24,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,24.913063049316406 +1992,49,0,homicide,18-20 yrs,2,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,2.0760886669158936 +1992,49,0,other external,18-20 yrs,6,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,6.228265762329102 +1992,49,0,internal,18-20 yrs,12,96335,19.019763946533203,0,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,12.456531524658203 +1992,49,0,all,21-24 yrs,85,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,71.62237548828125 +1992,49,0,MVA,21-24 yrs,24,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,20.222787857055664 +1992,49,0,suicide,21-24 yrs,24,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,20.222787857055664 +1992,49,0,homicide,21-24 yrs,5,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,4.213080883026123 +1992,49,0,other external,21-24 yrs,12,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,10.111393928527832 +1992,49,0,internal,21-24 yrs,20,118678,22.451507568359375,1,0.2529142498970032,0.7900000214576721,0.11999999731779099,0.41999998688697815,1.3300000429153442,16.852323532104492 +1993,49,0,MVA,15-17 yrs,28,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,24.88424301147461 +1993,49,0,suicide,15-17 yrs,19,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,16.8857364654541 +1993,49,0,homicide,15-17 yrs,2,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,1.7774460315704346 +1993,49,0,other external,15-17 yrs,10,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,8.887229919433594 +1993,49,0,internal,15-17 yrs,20,112521,15.982492446899414,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,17.774459838867188 +1993,49,0,all,18-20 yrs,99,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,98.43791961669922 +1993,49,0,MVA,18-20 yrs,39,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,38.7785758972168 +1993,49,0,suicide,18-20 yrs,25,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,24.858060836791992 +1993,49,0,homicide,18-20 yrs,5,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,4.971611976623535 +1993,49,0,other external,18-20 yrs,16,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,15.909158706665039 +1993,49,0,internal,18-20 yrs,14,100571,18.983882904052734,0,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,13.920514106750488 +1993,49,0,all,21-24 yrs,113,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,90.8141098022461 +1993,49,0,MVA,21-24 yrs,47,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,37.772239685058594 +1993,49,0,suicide,21-24 yrs,23,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,18.484289169311523 +1993,49,0,homicide,21-24 yrs,6,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,4.821988105773926 +1993,49,0,other external,21-24 yrs,14,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,11.25130558013916 +1993,49,0,internal,21-24 yrs,23,124430,22.44076919555664,1,0.24556311964988708,0.7799999713897705,0.10999999940395355,0.38999998569488525,1.2799999713897705,18.484289169311523 +1994,49,0,MVA,15-17 yrs,38,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,31.922847747802734 +1994,49,0,suicide,15-17 yrs,20,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,16.801498413085938 +1994,49,0,homicide,15-17 yrs,7,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,5.880524635314941 +1994,49,0,other external,15-17 yrs,9,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,7.56067419052124 +1994,49,0,internal,15-17 yrs,22,119037,16.008695602416992,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,18.48164939880371 +1994,49,0,all,18-20 yrs,103,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,95.04826354980469 +1994,49,0,MVA,18-20 yrs,45,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,41.52593994140625 +1994,49,0,suicide,18-20 yrs,20,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,18.45597267150879 +1994,49,0,homicide,18-20 yrs,7,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,6.459590435028076 +1994,49,0,other external,18-20 yrs,8,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,7.382389545440674 +1994,49,0,internal,18-20 yrs,23,108366,18.982070922851562,0,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,21.224369049072266 +1994,49,0,all,21-24 yrs,123,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,94.84593200683594 +1994,49,0,MVA,21-24 yrs,41,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,31.615310668945312 +1994,49,0,suicide,21-24 yrs,29,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,22.362049102783203 +1994,49,0,homicide,21-24 yrs,5,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,3.8555257320404053 +1994,49,0,other external,21-24 yrs,17,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,13.108787536621094 +1994,49,0,internal,21-24 yrs,31,129684,22.475879669189453,1,0.23943231999874115,0.7599999904632568,0.09000000357627869,0.3799999952316284,1.2400000095367432,23.904258728027344 +1995,49,0,MVA,15-17 yrs,23,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,18.754535675048828 +1995,49,0,suicide,15-17 yrs,16,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,13.04663372039795 +1995,49,0,homicide,15-17 yrs,6,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,4.892487525939941 +1995,49,0,other external,15-17 yrs,13,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,10.60038948059082 +1995,49,0,internal,15-17 yrs,26,122637,16.002300262451172,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.20077896118164 +1995,49,0,all,18-20 yrs,133,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,112.4631118774414 +1995,49,0,MVA,18-20 yrs,42,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,35.51466751098633 +1995,49,0,suicide,18-20 yrs,35,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,29.595556259155273 +1995,49,0,homicide,18-20 yrs,9,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,7.610285758972168 +1995,49,0,other external,18-20 yrs,16,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,13.529397010803223 +1995,49,0,internal,18-20 yrs,31,118261,18.973905563354492,0,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,26.213207244873047 +1995,49,0,all,21-24 yrs,119,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,88.20499420166016 +1995,49,0,MVA,21-24 yrs,34,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,25.201425552368164 +1995,49,0,suicide,21-24 yrs,29,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.49533462524414 +1995,49,0,homicide,21-24 yrs,11,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,8.153402328491211 +1995,49,0,other external,21-24 yrs,16,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,11.85949420928955 +1995,49,0,internal,21-24 yrs,29,134913,22.49485206604004,1,0.23283380270004272,0.75,0.09000000357627869,0.3700000047683716,1.2100000381469727,21.49533462524414 +1996,49,0,MVA,15-17 yrs,23,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,18.410015106201172 +1996,49,0,suicide,15-17 yrs,30,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,24.013063430786133 +1996,49,0,homicide,15-17 yrs,4,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,3.2017416954040527 +1996,49,0,other external,15-17 yrs,12,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,9.605225563049316 +1996,49,0,internal,15-17 yrs,22,124932,16.01753044128418,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,17.60957908630371 +1996,49,0,all,18-20 yrs,116,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,92.04303741455078 +1996,49,0,MVA,18-20 yrs,45,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,35.70635223388672 +1996,49,0,suicide,18-20 yrs,18,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,14.282540321350098 +1996,49,0,homicide,18-20 yrs,12,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,9.521693229675293 +1996,49,0,other external,18-20 yrs,23,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,18.24991226196289 +1996,49,0,internal,18-20 yrs,18,126028,18.98954200744629,0,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,14.282540321350098 +1996,49,0,all,21-24 yrs,121,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,86.62347412109375 +1996,49,0,MVA,21-24 yrs,40,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,28.6358585357666 +1996,49,0,suicide,21-24 yrs,22,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,15.749722480773926 +1996,49,0,homicide,21-24 yrs,7,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,5.011275291442871 +1996,49,0,other external,21-24 yrs,18,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,12.886137008666992 +1996,49,0,internal,21-24 yrs,34,139685,22.46005630493164,1,0.22615596652030945,0.7699999809265137,0.10000000149011612,0.3700000047683716,1.2400000095367432,24.34048080444336 +1970,50,0,MVA,15-17 yrs,10,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,39.073184967041016 +1970,50,0,suicide,15-17 yrs,3,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,11.721955299377441 +1970,50,0,homicide,15-17 yrs,0,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,0 +1970,50,0,other external,15-17 yrs,4,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,15.629273414611816 +1970,50,0,internal,15-17 yrs,4,25593,15.982378005981445,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,15.629273414611816 +1970,50,0,all,18-20 yrs,37,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,136.86468505859375 +1970,50,0,MVA,18-20 yrs,16,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,59.184730529785156 +1970,50,0,suicide,18-20 yrs,2,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,7.3980913162231445 +1970,50,0,homicide,18-20 yrs,0,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,0 +1970,50,0,other external,18-20 yrs,11,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,40.68950271606445 +1970,50,0,internal,18-20 yrs,8,27034,18.94529151916504,0,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,29.592365264892578 +1970,50,0,all,21-24 yrs,43,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,154.16053771972656 +1970,50,0,MVA,21-24 yrs,22,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,78.872833251953125 +1970,50,0,suicide,21-24 yrs,4,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,14.34051513671875 +1970,50,0,homicide,21-24 yrs,1,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,3.5851287841796875 +1970,50,0,other external,21-24 yrs,7,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,25.095901489257812 +1970,50,0,internal,21-24 yrs,9,27893,22.379880905151367,1,0.6443299055099487,1.3799999952316284,0.38999998569488525,1.7300000190734863,3.5,32.26615905761719 +1971,50,0.16712328791618347,MVA,15-17 yrs,14,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,53.47389221191406 +1971,50,0.16712328791618347,suicide,15-17 yrs,1,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.819563865661621 +1971,50,0.16712328791618347,homicide,15-17 yrs,1,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.819563865661621 +1971,50,0.16712328791618347,other external,15-17 yrs,8,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,30.55651092529297 +1971,50,0.16712328791618347,internal,15-17 yrs,9,26181,15.987128257751465,0,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,34.376075744628906 +1971,50,0.16712328791618347,all,18-20 yrs,39,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,143.84243774414062 +1971,50,0.16712328791618347,MVA,18-20 yrs,25,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,92.2066879272461 +1971,50,0.16712328791618347,suicide,18-20 yrs,7,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,25.817873001098633 +1971,50,0.16712328791618347,homicide,18-20 yrs,0,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,0 +1971,50,0.16712328791618347,other external,18-20 yrs,3,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,11.064803123474121 +1971,50,0.16712328791618347,internal,18-20 yrs,4,27113,18.934717178344727,0.16712328791618347,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,14.753070831298828 +1971,50,0.16712328791618347,all,21-24 yrs,42,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,131.0288848876953 +1971,50,0.16712328791618347,MVA,21-24 yrs,16,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,49.915767669677734 +1971,50,0.16712328791618347,suicide,21-24 yrs,4,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,12.478941917419434 +1971,50,0.16712328791618347,homicide,21-24 yrs,1,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,3.1197354793548584 +1971,50,0.16712328791618347,other external,21-24 yrs,14,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,43.67629623413086 +1971,50,0.16712328791618347,internal,21-24 yrs,7,32054,22.507768630981445,1,0.6172839403152466,1.5099999904632568,0.47999998927116394,1.809999942779541,3.7899999618530273,21.83814811706543 +1972,50,1,MVA,15-17 yrs,20,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,74.771942138671875 +1972,50,1,suicide,15-17 yrs,4,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,14.954389572143555 +1972,50,1,homicide,15-17 yrs,0,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,0 +1972,50,1,other external,15-17 yrs,12,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,44.86316680908203 +1972,50,1,internal,15-17 yrs,8,26748,15.977755546569824,0,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,29.90877914428711 +1972,50,1,all,18-20 yrs,36,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,127.57814025878906 +1972,50,1,MVA,18-20 yrs,24,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,85.052093505859375 +1972,50,1,suicide,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,homicide,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,other external,18-20 yrs,6,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,21.263023376464844 +1972,50,1,internal,18-20 yrs,2,28218,18.928911209106445,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,7.087674617767334 +1972,50,1,all,21-24 yrs,34,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,103.6016845703125 +1972,50,1,MVA,21-24 yrs,14,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,42.659515380859375 +1972,50,1,suicide,21-24 yrs,4,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,12.188433647155762 +1972,50,1,homicide,21-24 yrs,0,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,0 +1972,50,1,other external,21-24 yrs,8,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,24.376867294311523 +1972,50,1,internal,21-24 yrs,8,32818,22.52596092224121,1,0.5980861186981201,1.5299999713897705,0.44999998807907104,1.8600000143051147,3.8399999141693115,24.376867294311523 +1973,50,1,MVA,15-17 yrs,14,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,51.26890563964844 +1973,50,1,suicide,15-17 yrs,4,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,14.648259162902832 +1973,50,1,homicide,15-17 yrs,2,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,7.324129581451416 +1973,50,1,other external,15-17 yrs,5,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.31032371520996 +1973,50,1,internal,15-17 yrs,5,27307,15.978650093078613,0,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.31032371520996 +1973,50,1,all,18-20 yrs,48,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,164.56954956054688 +1973,50,1,MVA,18-20 yrs,23,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,78.85623931884766 +1973,50,1,suicide,18-20 yrs,3,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,10.28559684753418 +1973,50,1,homicide,18-20 yrs,0,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,0 +1973,50,1,other external,18-20 yrs,16,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,54.85651779174805 +1973,50,1,internal,18-20 yrs,6,29167,18.95128059387207,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,20.57119369506836 +1973,50,1,all,21-24 yrs,41,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,125.04574584960938 +1973,50,1,MVA,21-24 yrs,14,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,42.69854736328125 +1973,50,1,suicide,21-24 yrs,6,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,18.29937744140625 +1973,50,1,homicide,21-24 yrs,1,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,3.049896240234375 +1973,50,1,other external,21-24 yrs,12,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,36.5987548828125 +1973,50,1,internal,21-24 yrs,8,32788,22.56581687927246,1,0.5630630254745483,1.4500000476837158,0.46000000834465027,1.8700000047683716,3.7799999713897705,24.399169921875 +1974,50,1,MVA,15-17 yrs,10,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,36.12455749511719 +1974,50,1,suicide,15-17 yrs,2,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,7.224911689758301 +1974,50,1,homicide,15-17 yrs,1,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.6124558448791504 +1974,50,1,other external,15-17 yrs,8,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,28.899646759033203 +1974,50,1,internal,15-17 yrs,3,27682,15.990860939025879,0,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,10.837367057800293 +1974,50,1,all,18-20 yrs,35,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,117.7182846069336 +1974,50,1,MVA,18-20 yrs,23,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,77.35772705078125 +1974,50,1,suicide,18-20 yrs,2,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,6.72675895690918 +1974,50,1,homicide,18-20 yrs,1,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.36337947845459 +1974,50,1,other external,18-20 yrs,3,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,10.09013843536377 +1974,50,1,internal,18-20 yrs,6,29732,18.956880569458008,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,20.18027687072754 +1974,50,1,all,21-24 yrs,35,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,107.48725128173828 +1974,50,1,MVA,21-24 yrs,17,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,52.20809555053711 +1974,50,1,suicide,21-24 yrs,7,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,21.497451782226562 +1974,50,1,homicide,21-24 yrs,1,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,3.0710644721984863 +1974,50,1,other external,21-24 yrs,5,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,15.355321884155273 +1974,50,1,internal,21-24 yrs,5,32562,22.508874893188477,1,0.5070993900299072,1.3899999856948853,0.47999998927116394,1.840000033378601,3.7100000381469727,15.355321884155273 +1975,50,1,MVA,15-17 yrs,18,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,64.3316650390625 +1975,50,1,suicide,15-17 yrs,1,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,3.573981523513794 +1975,50,1,homicide,15-17 yrs,0,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,0 +1975,50,1,other external,15-17 yrs,7,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,25.01786994934082 +1975,50,1,internal,15-17 yrs,5,27980,15.995067596435547,0,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,17.86990737915039 +1975,50,1,all,18-20 yrs,47,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,154.52394104003906 +1975,50,1,MVA,18-20 yrs,25,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,82.1935806274414 +1975,50,1,suicide,18-20 yrs,4,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,13.150973320007324 +1975,50,1,homicide,18-20 yrs,0,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,0 +1975,50,1,other external,18-20 yrs,10,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,32.87743377685547 +1975,50,1,internal,18-20 yrs,8,30416,18.945159912109375,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,26.30194664001465 +1975,50,1,all,21-24 yrs,49,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,148.2781524658203 +1975,50,1,MVA,21-24 yrs,18,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,54.46952819824219 +1975,50,1,suicide,21-24 yrs,7,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,21.182594299316406 +1975,50,1,homicide,21-24 yrs,1,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,3.0260848999023438 +1975,50,1,other external,21-24 yrs,13,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,39.33910369873047 +1975,50,1,internal,21-24 yrs,10,33046,22.45218849182129,1,0.46468400955200195,1.4199999570846558,0.49000000953674316,1.8300000429153442,3.7300000190734863,30.260848999023438 +1976,50,1,MVA,15-17 yrs,13,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,45.67974853515625 +1976,50,1,suicide,15-17 yrs,2,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,7.027653694152832 +1976,50,1,homicide,15-17 yrs,1,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,3.513826847076416 +1976,50,1,other external,15-17 yrs,6,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,21.082962036132812 +1976,50,1,internal,15-17 yrs,3,28459,15.978952407836914,0,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,10.541481018066406 +1976,50,1,all,18-20 yrs,32,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,102.70565032958984 +1976,50,1,MVA,18-20 yrs,14,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,44.93372344970703 +1976,50,1,suicide,18-20 yrs,5,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,16.047758102416992 +1976,50,1,homicide,18-20 yrs,2,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,6.419103145599365 +1976,50,1,other external,18-20 yrs,9,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,28.88596534729004 +1976,50,1,internal,18-20 yrs,2,31157,18.943511962890625,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,6.419103145599365 +1976,50,1,all,21-24 yrs,48,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,141.70578002929688 +1976,50,1,MVA,21-24 yrs,13,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,38.3786506652832 +1976,50,1,suicide,21-24 yrs,9,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,26.569833755493164 +1976,50,1,homicide,21-24 yrs,4,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,11.808815002441406 +1976,50,1,other external,21-24 yrs,10,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,29.522037506103516 +1976,50,1,internal,21-24 yrs,12,33873,22.443037033081055,1,0.43936729431152344,1.4299999475479126,0.5,1.7599999904632568,3.680000066757202,35.42644500732422 +1977,50,1,MVA,15-17 yrs,7,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,24.346132278442383 +1977,50,1,suicide,15-17 yrs,2,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,6.956037998199463 +1977,50,1,homicide,15-17 yrs,2,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,6.956037998199463 +1977,50,1,other external,15-17 yrs,6,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,20.868114471435547 +1977,50,1,internal,15-17 yrs,6,28752,15.992870330810547,0,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,20.868114471435547 +1977,50,1,all,18-20 yrs,35,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,109.8521728515625 +1977,50,1,MVA,18-20 yrs,22,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,69.04993438720703 +1977,50,1,suicide,18-20 yrs,6,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,18.83180046081543 +1977,50,1,homicide,18-20 yrs,1,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,3.1386334896087646 +1977,50,1,other external,18-20 yrs,3,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,9.415900230407715 +1977,50,1,internal,18-20 yrs,3,31861,18.95511817932129,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,9.415900230407715 +1977,50,1,all,21-24 yrs,54,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,153.4221649169922 +1977,50,1,MVA,21-24 yrs,22,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,62.50532531738281 +1977,50,1,suicide,21-24 yrs,7,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,19.888057708740234 +1977,50,1,homicide,21-24 yrs,2,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,5.682302474975586 +1977,50,1,other external,21-24 yrs,11,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,31.252662658691406 +1977,50,1,internal,21-24 yrs,12,35197,22.46356201171875,1,0.4125412702560425,1.4199999570846558,0.4399999976158142,1.5800000429153442,3.440000057220459,34.093814849853516 +1978,50,1,MVA,15-17 yrs,12,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,41.346519470214844 +1978,50,1,suicide,15-17 yrs,2,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,6.891086578369141 +1978,50,1,homicide,15-17 yrs,0,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,0 +1978,50,1,other external,15-17 yrs,8,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.564346313476562 +1978,50,1,internal,15-17 yrs,4,29023,16.00940704345703,0,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,13.782173156738281 +1978,50,1,all,18-20 yrs,42,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,130.45909118652344 +1978,50,1,MVA,18-20 yrs,21,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,65.22954559326172 +1978,50,1,suicide,18-20 yrs,5,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,15.530844688415527 +1978,50,1,homicide,18-20 yrs,2,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,6.212337493896484 +1978,50,1,other external,18-20 yrs,8,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,24.849349975585938 +1978,50,1,internal,18-20 yrs,6,32194,18.955333709716797,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,18.637012481689453 +1978,50,1,all,21-24 yrs,58,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,160.99037170410156 +1978,50,1,MVA,21-24 yrs,24,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,66.61670684814453 +1978,50,1,suicide,21-24 yrs,10,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.756959915161133 +1978,50,1,homicide,21-24 yrs,2,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,5.551392078399658 +1978,50,1,other external,21-24 yrs,12,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,33.308353424072266 +1978,50,1,internal,21-24 yrs,10,36027,22.455326080322266,1,0.38343560695648193,1.5299999713897705,0.4699999988079071,1.590000033378601,3.5899999141693115,27.756959915161133 +1979,50,1,MVA,15-17 yrs,13,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,45.19224166870117 +1979,50,1,suicide,15-17 yrs,3,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,10.42897891998291 +1979,50,1,homicide,15-17 yrs,0,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,0 +1979,50,1,other external,15-17 yrs,7,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.33428382873535 +1979,50,1,internal,15-17 yrs,2,28766,16.003198623657227,0,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,6.952652454376221 +1979,50,1,all,18-20 yrs,47,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,142.1270751953125 +1979,50,1,MVA,18-20 yrs,23,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,69.551544189453125 +1979,50,1,suicide,18-20 yrs,9,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,27.215822219848633 +1979,50,1,homicide,18-20 yrs,0,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,0 +1979,50,1,other external,18-20 yrs,8,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.19184112548828 +1979,50,1,internal,18-20 yrs,7,33069,18.937402725219727,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,21.167861938476562 +1979,50,1,all,21-24 yrs,49,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,132.6188201904297 +1979,50,1,MVA,21-24 yrs,25,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,67.66265869140625 +1979,50,1,suicide,21-24 yrs,8,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,21.65205192565918 +1979,50,1,homicide,21-24 yrs,1,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,2.7065064907073975 +1979,50,1,other external,21-24 yrs,9,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,24.358558654785156 +1979,50,1,internal,21-24 yrs,6,36948,22.44354248046875,1,0.3443526327610016,1.5700000524520874,0.4699999988079071,1.5,3.5399999618530273,16.239038467407227 +1980,50,1,MVA,15-17 yrs,13,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,45.41643524169922 +1980,50,1,suicide,15-17 yrs,4,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,13.974287033081055 +1980,50,1,homicide,15-17 yrs,1,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,3.4935717582702637 +1980,50,1,other external,15-17 yrs,5,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,17.467859268188477 +1980,50,1,internal,15-17 yrs,4,28624,16.016735076904297,0,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,13.974287033081055 +1980,50,1,all,18-20 yrs,39,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,118.4690170288086 +1980,50,1,MVA,18-20 yrs,20,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,60.75334167480469 +1980,50,1,suicide,18-20 yrs,5,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,15.188335418701172 +1980,50,1,homicide,18-20 yrs,1,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,3.0376670360565186 +1980,50,1,other external,18-20 yrs,8,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,24.30133628845215 +1980,50,1,internal,18-20 yrs,5,32920,19.00762367248535,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,15.188335418701172 +1980,50,1,all,21-24 yrs,39,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,101.42778778076172 +1980,50,1,MVA,21-24 yrs,20,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,52.014251708984375 +1980,50,1,suicide,21-24 yrs,8,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,20.805700302124023 +1980,50,1,homicide,21-24 yrs,1,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,2.600712537765503 +1980,50,1,other external,21-24 yrs,8,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,20.805700302124023 +1980,50,1,internal,21-24 yrs,2,38451,22.43223762512207,1,0.3033980429172516,1.4299999475479126,0.47999998927116394,1.3899999856948853,3.299999952316284,5.201425075531006 +1981,50,1,MVA,15-17 yrs,7,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,25.44251823425293 +1981,50,1,suicide,15-17 yrs,3,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,10.903936386108398 +1981,50,1,homicide,15-17 yrs,1,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,3.634645462036133 +1981,50,1,other external,15-17 yrs,5,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,18.173227310180664 +1981,50,1,internal,15-17 yrs,3,27513,16.026859283447266,0,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,10.903936386108398 +1981,50,1,all,18-20 yrs,28,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,87.73578643798828 +1981,50,1,MVA,18-20 yrs,14,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,43.86789321899414 +1981,50,1,suicide,18-20 yrs,6,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,18.800525665283203 +1981,50,1,homicide,18-20 yrs,0,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,0 +1981,50,1,other external,18-20 yrs,5,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,15.667105674743652 +1981,50,1,internal,18-20 yrs,3,31914,19.065113067626953,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,9.400262832641602 +1981,50,1,all,21-24 yrs,43,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,107.33363342285156 +1981,50,1,MVA,21-24 yrs,24,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,59.907142639160156 +1981,50,1,suicide,21-24 yrs,7,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,17.472917556762695 +1981,50,1,homicide,21-24 yrs,2,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,4.99226188659668 +1981,50,1,other external,21-24 yrs,6,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,14.976785659790039 +1981,50,1,internal,21-24 yrs,4,40062,22.433303833007812,1,0.29152911901474,1.4900000095367432,0.5,1.3300000429153442,3.319999933242798,9.98452377319336 +1982,50,1,MVA,15-17 yrs,6,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,22.785099029541016 +1982,50,1,suicide,15-17 yrs,4,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,15.190065383911133 +1982,50,1,homicide,15-17 yrs,0,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,0 +1982,50,1,other external,15-17 yrs,3,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,11.392549514770508 +1982,50,1,internal,15-17 yrs,2,26333,16.024494171142578,0,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,7.595032691955566 +1982,50,1,all,18-20 yrs,39,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,129.18185424804688 +1982,50,1,MVA,18-20 yrs,25,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,82.80887603759766 +1982,50,1,suicide,18-20 yrs,4,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,13.249420166015625 +1982,50,1,homicide,18-20 yrs,1,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,3.3123550415039062 +1982,50,1,other external,18-20 yrs,4,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,13.249420166015625 +1982,50,1,internal,18-20 yrs,5,30190,19.0423641204834,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,16.56177520751953 +1982,50,1,all,21-24 yrs,35,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,83.1749038696289 +1982,50,1,MVA,21-24 yrs,11,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,26.140684127807617 +1982,50,1,suicide,21-24 yrs,10,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,23.764259338378906 +1982,50,1,homicide,21-24 yrs,1,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,2.3764257431030273 +1982,50,1,other external,21-24 yrs,10,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,23.764259338378906 +1982,50,1,internal,21-24 yrs,3,42080,22.434505462646484,1,0.27461138367652893,1.4900000095367432,0.5,1.25,3.240000009536743,7.12927770614624 +1983,50,1,MVA,15-17 yrs,10,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,39.349937438964844 +1983,50,1,suicide,15-17 yrs,1,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,3.9349939823150635 +1983,50,1,homicide,15-17 yrs,0,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,0 +1983,50,1,other external,15-17 yrs,10,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,39.349937438964844 +1983,50,1,internal,15-17 yrs,3,25413,16.016054153442383,0,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,11.804981231689453 +1983,50,1,all,18-20 yrs,39,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,134.1820068359375 +1983,50,1,MVA,18-20 yrs,19,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,65.37071990966797 +1983,50,1,suicide,18-20 yrs,6,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,20.64338493347168 +1983,50,1,homicide,18-20 yrs,1,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,3.4405641555786133 +1983,50,1,other external,18-20 yrs,5,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,17.202821731567383 +1983,50,1,internal,18-20 yrs,8,29065,19.019094467163086,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,27.524513244628906 +1983,50,1,all,21-24 yrs,46,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,107.92801666259766 +1983,50,1,MVA,21-24 yrs,21,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,49.271484375 +1983,50,1,suicide,21-24 yrs,9,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,21.116350173950195 +1983,50,1,homicide,21-24 yrs,1,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,2.3462612628936768 +1983,50,1,other external,21-24 yrs,5,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,11.731306076049805 +1983,50,1,internal,21-24 yrs,10,42621,22.477535247802734,1,0.26606425642967224,1.5199999809265137,0.5,1.190000057220459,3.2100000381469727,23.46261215209961 +1984,50,1,MVA,15-17 yrs,9,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,35.74833297729492 +1984,50,1,suicide,15-17 yrs,0,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,0 +1984,50,1,homicide,15-17 yrs,1,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,3.972036838531494 +1984,50,1,other external,15-17 yrs,6,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,23.83222198486328 +1984,50,1,internal,15-17 yrs,2,25176,15.996583938598633,0,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.944073677062988 +1984,50,1,all,18-20 yrs,36,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,126.1697006225586 +1984,50,1,MVA,18-20 yrs,21,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,73.59899139404297 +1984,50,1,suicide,18-20 yrs,5,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,17.523569107055664 +1984,50,1,homicide,18-20 yrs,2,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.009427547454834 +1984,50,1,other external,18-20 yrs,2,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,7.009427547454834 +1984,50,1,internal,18-20 yrs,6,28533,19.030351638793945,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,21.028282165527344 +1984,50,1,all,21-24 yrs,36,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,87.3956069946289 +1984,50,1,MVA,21-24 yrs,15,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,36.41483688354492 +1984,50,1,suicide,21-24 yrs,8,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,19.421247482299805 +1984,50,1,homicide,21-24 yrs,0,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,0 +1984,50,1,other external,21-24 yrs,4,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,9.710623741149902 +1984,50,1,internal,21-24 yrs,9,41192,22.527069091796875,1,0.25505292415618896,1.4800000190734863,0.49000000953674316,1.149999976158142,3.119999885559082,21.848901748657227 +1985,50,1,MVA,15-17 yrs,7,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,27.663610458374023 +1985,50,1,suicide,15-17 yrs,1,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,3.951944351196289 +1985,50,1,homicide,15-17 yrs,0,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,0 +1985,50,1,other external,15-17 yrs,1,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,3.951944351196289 +1985,50,1,internal,15-17 yrs,4,25304,15.985179901123047,0,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,15.807777404785156 +1985,50,1,all,18-20 yrs,34,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,122.2230224609375 +1985,50,1,MVA,18-20 yrs,14,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,50.327125549316406 +1985,50,1,suicide,18-20 yrs,6,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,21.568767547607422 +1985,50,1,homicide,18-20 yrs,2,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,7.189589500427246 +1985,50,1,other external,18-20 yrs,9,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,32.353153228759766 +1985,50,1,internal,18-20 yrs,3,27818,19.02782440185547,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,10.784383773803711 +1985,50,1,all,21-24 yrs,40,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,100.7962875366211 +1985,50,1,MVA,21-24 yrs,16,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,40.31851577758789 +1985,50,1,suicide,21-24 yrs,5,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,12.599535942077637 +1985,50,1,homicide,21-24 yrs,2,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,5.039814472198486 +1985,50,1,other external,21-24 yrs,9,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,22.67916488647461 +1985,50,1,internal,21-24 yrs,8,39684,22.54802894592285,1,0.24628251791000366,1.4900000095367432,0.550000011920929,1.090000033378601,3.130000114440918,20.159257888793945 +1986,50,0.9589878916740417,MVA,15-17 yrs,7,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,27.21723175048828 +1986,50,0.9589878916740417,suicide,15-17 yrs,4,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,15.552703857421875 +1986,50,0.9589878916740417,homicide,15-17 yrs,1,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,3.8881759643554688 +1986,50,0.9589878916740417,other external,15-17 yrs,5,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,19.440879821777344 +1986,50,0.9589878916740417,internal,15-17 yrs,2,25719,15.990241050720215,0,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.7763519287109375 +1986,50,0.9589878916740417,all,18-20 yrs,35,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,128.08782958984375 +1986,50,0.9589878916740417,MVA,18-20 yrs,13,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,47.57548141479492 +1986,50,0.9589878916740417,suicide,18-20 yrs,7,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,25.61756706237793 +1986,50,0.9589878916740417,homicide,18-20 yrs,2,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.319304466247559 +1986,50,0.9589878916740417,other external,18-20 yrs,11,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,40.25617599487305 +1986,50,0.9589878916740417,internal,18-20 yrs,2,27325,19.01763916015625,0.9589878916740417,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,7.319304466247559 +1986,50,0.9589878916740417,all,21-24 yrs,40,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,107.19549560546875 +1986,50,0.9589878916740417,MVA,21-24 yrs,18,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,48.237972259521484 +1986,50,0.9589878916740417,suicide,21-24 yrs,13,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,34.83853530883789 +1986,50,0.9589878916740417,homicide,21-24 yrs,0,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,0 +1986,50,0.9589878916740417,other external,21-24 yrs,4,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,10.719550132751465 +1986,50,0.9589878916740417,internal,21-24 yrs,5,37315,22.510465621948242,1,0.24178831279277802,1.5499999523162842,0.5899999737739563,1.0399999618530273,3.1700000762939453,13.399436950683594 +1987,50,0.6660877466201782,MVA,15-17 yrs,11,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,43.605804443359375 +1987,50,0.6660877466201782,suicide,15-17 yrs,5,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,19.820819854736328 +1987,50,0.6660877466201782,homicide,15-17 yrs,0,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,0 +1987,50,0.6660877466201782,other external,15-17 yrs,3,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,11.892492294311523 +1987,50,0.6660877466201782,internal,15-17 yrs,3,25226,16.028661727905273,0,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,11.892492294311523 +1987,50,0.6660877466201782,all,18-20 yrs,38,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,137.45704650878906 +1987,50,0.6660877466201782,MVA,18-20 yrs,20,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,72.34580993652344 +1987,50,0.6660877466201782,suicide,18-20 yrs,5,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,18.08645248413086 +1987,50,0.6660877466201782,homicide,18-20 yrs,2,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,7.234581470489502 +1987,50,0.6660877466201782,other external,18-20 yrs,5,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,18.08645248413086 +1987,50,0.6660877466201782,internal,18-20 yrs,6,27645,18.998661041259766,0.6660877466201782,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,21.70374298095703 +1987,50,0.6660877466201782,all,21-24 yrs,52,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,146.57797241210938 +1987,50,0.6660877466201782,MVA,21-24 yrs,25,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,70.47017669677734 +1987,50,0.6660877466201782,suicide,21-24 yrs,6,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,16.912841796875 +1987,50,0.6660877466201782,homicide,21-24 yrs,1,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,2.8188071250915527 +1987,50,0.6660877466201782,other external,21-24 yrs,3,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,8.4564208984375 +1987,50,0.6660877466201782,internal,21-24 yrs,17,35476,22.479169845581055,1,0.2332746386528015,1.559999942779541,0.5799999833106995,0.9800000190734863,3.109999895095825,47.91971969604492 +1988,50,0.3230956196784973,MVA,15-17 yrs,12,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,49.6503791809082 +1988,50,0.3230956196784973,suicide,15-17 yrs,3,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,12.41259479522705 +1988,50,0.3230956196784973,homicide,15-17 yrs,1,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,4.137531757354736 +1988,50,0.3230956196784973,other external,15-17 yrs,2,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,8.275063514709473 +1988,50,0.3230956196784973,internal,15-17 yrs,3,24169,16.05862808227539,0,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,12.41259479522705 +1988,50,0.3230956196784973,all,18-20 yrs,27,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,94.0340576171875 +1988,50,0.3230956196784973,MVA,18-20 yrs,19,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,66.172119140625 +1988,50,0.3230956196784973,suicide,18-20 yrs,5,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,17.413715362548828 +1988,50,0.3230956196784973,homicide,18-20 yrs,0,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,0 +1988,50,0.3230956196784973,other external,18-20 yrs,0,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,0 +1988,50,0.3230956196784973,internal,18-20 yrs,3,28713,18.987810134887695,0.3230956196784973,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,10.44822883605957 +1988,50,0.3230956196784973,all,21-24 yrs,35,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,100.66438293457031 +1988,50,0.3230956196784973,MVA,21-24 yrs,15,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,43.14188003540039 +1988,50,0.3230956196784973,suicide,21-24 yrs,4,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,11.504501342773438 +1988,50,0.3230956196784973,homicide,21-24 yrs,2,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,5.752250671386719 +1988,50,0.3230956196784973,other external,21-24 yrs,5,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,14.380626678466797 +1988,50,0.3230956196784973,internal,21-24 yrs,9,34769,22.47519302368164,1,0.2240067422389984,1.5099999904632568,0.5600000023841858,0.9300000071525574,3,25.885128021240234 +1989,50,0.04008346050977707,MVA,15-17 yrs,4,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,17.77461814880371 +1989,50,0.04008346050977707,suicide,15-17 yrs,1,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,4.443654537200928 +1989,50,0.04008346050977707,homicide,15-17 yrs,0,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,0 +1989,50,0.04008346050977707,other external,15-17 yrs,1,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,4.443654537200928 +1989,50,0.04008346050977707,internal,15-17 yrs,2,22504,16.047325134277344,0,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,8.887309074401855 +1989,50,0.04008346050977707,all,18-20 yrs,22,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,73.40428924560547 +1989,50,0.04008346050977707,MVA,18-20 yrs,12,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,40.03870391845703 +1989,50,0.04008346050977707,suicide,18-20 yrs,2,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,6.673117160797119 +1989,50,0.04008346050977707,homicide,18-20 yrs,0,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,0 +1989,50,0.04008346050977707,other external,18-20 yrs,6,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,20.019351959228516 +1989,50,0.04008346050977707,internal,18-20 yrs,2,29971,18.993793487548828,0.04008346050977707,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,6.673117160797119 +1989,50,0.04008346050977707,all,21-24 yrs,49,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,144.61529541015625 +1989,50,0.04008346050977707,MVA,21-24 yrs,19,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,56.0753173828125 +1989,50,0.04008346050977707,suicide,21-24 yrs,11,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,32.464656829833984 +1989,50,0.04008346050977707,homicide,21-24 yrs,2,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,5.902665138244629 +1989,50,0.04008346050977707,other external,21-24 yrs,3,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,8.853997230529785 +1989,50,0.04008346050977707,internal,21-24 yrs,14,33883,22.45403289794922,1,0.21370966732501984,1.4500000476837158,0.5099999904632568,0.8799999952316284,2.8399999141693115,41.31865692138672 +1990,50,0,MVA,15-17 yrs,7,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,31.87759017944336 +1990,50,0,suicide,15-17 yrs,2,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,9.107882499694824 +1990,50,0,homicide,15-17 yrs,0,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,0 +1990,50,0,other external,15-17 yrs,1,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,4.553941249847412 +1990,50,0,internal,15-17 yrs,2,21959,16.014026641845703,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,9.107882499694824 +1990,50,0,all,18-20 yrs,27,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,90.93971252441406 +1990,50,0,MVA,18-20 yrs,10,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,33.681373596191406 +1990,50,0,suicide,18-20 yrs,7,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,23.576961517333984 +1990,50,0,homicide,18-20 yrs,0,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,0 +1990,50,0,other external,18-20 yrs,4,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,13.472549438476562 +1990,50,0,internal,18-20 yrs,6,29690,19.04715347290039,0,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,20.208824157714844 +1990,50,0,all,21-24 yrs,34,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,100.2594985961914 +1990,50,0,MVA,21-24 yrs,14,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,41.283321380615234 +1990,50,0,suicide,21-24 yrs,8,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,23.590469360351562 +1990,50,0,homicide,21-24 yrs,1,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,2.9488086700439453 +1990,50,0,other external,21-24 yrs,7,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,20.641660690307617 +1990,50,0,internal,21-24 yrs,4,33912,22.417139053344727,1,0.20275439321994781,1.4700000286102295,0.47999998927116394,0.8500000238418579,2.799999952316284,11.795234680175781 +1991,50,0,MVA,15-17 yrs,4,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,18.274019241333008 +1991,50,0,suicide,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,homicide,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,other external,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,internal,15-17 yrs,2,21889,16.002878189086914,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,9.137009620666504 +1991,50,0,all,18-20 yrs,23,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,85.5400161743164 +1991,50,0,MVA,18-20 yrs,14,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,52.06783676147461 +1991,50,0,suicide,18-20 yrs,4,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,14.876524925231934 +1991,50,0,homicide,18-20 yrs,0,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,0 +1991,50,0,other external,18-20 yrs,1,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,3.7191312313079834 +1991,50,0,internal,18-20 yrs,4,26888,19.111759185791016,0,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,14.876524925231934 +1991,50,0,all,21-24 yrs,28,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,79.26397705078125 +1991,50,0,MVA,21-24 yrs,14,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,39.631988525390625 +1991,50,0,suicide,21-24 yrs,7,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,19.815994262695312 +1991,50,0,homicide,21-24 yrs,3,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,8.4925689697265625 +1991,50,0,other external,21-24 yrs,4,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,11.32342529296875 +1991,50,0,internal,21-24 yrs,0,35325,22.40237808227539,1,0.19456680119037628,1.409999966621399,0.46000000834465027,0.8199999928474426,2.690000057220459,0 +1992,50,0,MVA,15-17 yrs,5,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,22.342374801635742 +1992,50,0,suicide,15-17 yrs,2,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,8.936949729919434 +1992,50,0,homicide,15-17 yrs,1,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.468474864959717 +1992,50,0,other external,15-17 yrs,7,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,31.27932357788086 +1992,50,0,internal,15-17 yrs,1,22379,15.99919605255127,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.468474864959717 +1992,50,0,all,18-20 yrs,21,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,88.54408264160156 +1992,50,0,MVA,18-20 yrs,11,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,46.38023376464844 +1992,50,0,suicide,18-20 yrs,5,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,21.081924438476562 +1992,50,0,homicide,18-20 yrs,1,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.2163848876953125 +1992,50,0,other external,18-20 yrs,1,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,4.2163848876953125 +1992,50,0,internal,18-20 yrs,3,23717,19.081249237060547,0,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,12.649154663085938 +1992,50,0,all,21-24 yrs,28,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,75.778076171875 +1992,50,0,MVA,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,suicide,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,homicide,21-24 yrs,1,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,2.70635986328125 +1992,50,0,other external,21-24 yrs,6,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,16.2381591796875 +1992,50,0,internal,21-24 yrs,9,36950,22.426738739013672,1,0.18888095021247864,1.350000023841858,0.4399999976158142,0.7799999713897705,2.569999933242798,24.35723876953125 +1993,50,0,MVA,15-17 yrs,6,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,26.334270477294922 +1993,50,0,suicide,15-17 yrs,0,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,homicide,15-17 yrs,0,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,other external,15-17 yrs,2,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,8.77808952331543 +1993,50,0,internal,15-17 yrs,1,22784,15.992319107055664,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,4.389044761657715 +1993,50,0,all,18-20 yrs,23,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,103.77188110351562 +1993,50,0,MVA,18-20 yrs,9,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,40.606388092041016 +1993,50,0,suicide,18-20 yrs,8,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,36.094566345214844 +1993,50,0,homicide,18-20 yrs,0,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,0 +1993,50,0,other external,18-20 yrs,3,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,13.535463333129883 +1993,50,0,internal,18-20 yrs,3,22164,19.0079402923584,0,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,13.535463333129883 +1993,50,0,all,21-24 yrs,33,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,89.805694580078125 +1993,50,0,MVA,21-24 yrs,9,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,24.492462158203125 +1993,50,0,suicide,21-24 yrs,4,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,10.885538101196289 +1993,50,0,homicide,21-24 yrs,4,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,10.885538101196289 +1993,50,0,other external,21-24 yrs,9,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,24.492462158203125 +1993,50,0,internal,21-24 yrs,7,36746,22.511566162109375,1,0.18339098989963531,1.340000033378601,0.4399999976158142,0.7400000095367432,2.5199999809265137,19.049692153930664 +1994,50,0,MVA,15-17 yrs,5,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,21.124677658081055 +1994,50,0,suicide,15-17 yrs,2,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,8.449871063232422 +1994,50,0,homicide,15-17 yrs,0,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,other external,15-17 yrs,0,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,internal,15-17 yrs,1,23669,15.989648818969727,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,4.224935531616211 +1994,50,0,all,18-20 yrs,21,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,94.91954803466797 +1994,50,0,MVA,18-20 yrs,10,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,45.19978332519531 +1994,50,0,suicide,18-20 yrs,6,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,27.119869232177734 +1994,50,0,homicide,18-20 yrs,0,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,0 +1994,50,0,other external,18-20 yrs,3,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,13.559934616088867 +1994,50,0,internal,18-20 yrs,2,22124,18.99837303161621,0,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,9.039957046508789 +1994,50,0,all,21-24 yrs,28,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,81.38115692138672 +1994,50,0,MVA,21-24 yrs,8,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,23.251758575439453 +1994,50,0,suicide,21-24 yrs,7,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,20.34528923034668 +1994,50,0,homicide,21-24 yrs,1,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,2.9064698219299316 +1994,50,0,other external,21-24 yrs,8,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,23.251758575439453 +1994,50,0,internal,21-24 yrs,4,34406,22.60730743408203,1,0.1788124144077301,1.340000033378601,0.41999998688697815,0.7400000095367432,2.5,11.625879287719727 +1995,50,0,MVA,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,suicide,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,homicide,15-17 yrs,0,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,15-17 yrs,1,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,4.065701961517334 +1995,50,0,internal,15-17 yrs,4,24596,15.975198745727539,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,16.262807846069336 +1995,50,0,all,18-20 yrs,23,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,101.44671630859375 +1995,50,0,MVA,18-20 yrs,14,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,61.75017547607422 +1995,50,0,suicide,18-20 yrs,1,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,4.410727024078369 +1995,50,0,homicide,18-20 yrs,0,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,18-20 yrs,4,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,17.642908096313477 +1995,50,0,internal,18-20 yrs,4,22672,18.99545669555664,0,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,17.642908096313477 +1995,50,0,all,21-24 yrs,27,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,85.52964782714844 +1995,50,0,MVA,21-24 yrs,14,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,44.34870910644531 +1995,50,0,suicide,21-24 yrs,6,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,19.006589889526367 +1995,50,0,homicide,21-24 yrs,0,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,0 +1995,50,0,other external,21-24 yrs,3,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,9.503294944763184 +1995,50,0,internal,21-24 yrs,4,31568,22.63538932800293,1,0.17388451099395752,1.2699999809265137,0.4099999964237213,0.6600000262260437,2.3399999141693115,12.671059608459473 +1996,50,0,MVA,15-17 yrs,11,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,43.23219680786133 +1996,50,0,suicide,15-17 yrs,2,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,7.86039924621582 +1996,50,0,homicide,15-17 yrs,0,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,0 +1996,50,0,other external,15-17 yrs,4,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,15.72079849243164 +1996,50,0,internal,15-17 yrs,1,25444,15.989506721496582,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,3.93019962310791 +1996,50,0,all,18-20 yrs,17,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,73.7783203125 +1996,50,0,MVA,18-20 yrs,6,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,26.039405822753906 +1996,50,0,suicide,18-20 yrs,3,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,13.019702911376953 +1996,50,0,homicide,18-20 yrs,1,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,4.339900970458984 +1996,50,0,other external,18-20 yrs,3,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,13.019702911376953 +1996,50,0,internal,18-20 yrs,4,23042,18.990798950195312,0,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,17.359603881835938 +1996,50,0,all,21-24 yrs,26,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,90.05888366699219 +1996,50,0,MVA,21-24 yrs,14,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,48.49324417114258 +1996,50,0,suicide,21-24 yrs,6,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,20.782819747924805 +1996,50,0,homicide,21-24 yrs,0,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,0 +1996,50,0,other external,21-24 yrs,3,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,10.391409873962402 +1996,50,0,internal,21-24 yrs,3,28870,22.5512638092041,1,0.16889739036560059,1.2899999618530273,0.46000000834465027,0.6399999856948853,2.380000114440918,10.391409873962402 +1970,51,0,MVA,15-17 yrs,100,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,37.590450286865234 +1970,51,0,suicide,15-17 yrs,13,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,4.886758804321289 +1970,51,0,homicide,15-17 yrs,13,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,4.886758804321289 +1970,51,0,other external,15-17 yrs,58,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,21.802461624145508 +1970,51,0,internal,15-17 yrs,65,266025,15.983468055725098,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,24.433794021606445 +1970,51,0,all,18-20 yrs,346,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,128.56622314453125 +1970,51,0,MVA,18-20 yrs,165,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,61.310482025146484 +1970,51,0,suicide,18-20 yrs,30,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,11.147360801696777 +1970,51,0,homicide,18-20 yrs,29,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,10.775781631469727 +1970,51,0,other external,18-20 yrs,54,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,20.065248489379883 +1970,51,0,internal,18-20 yrs,68,269122,19.0230712890625,0,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,25.267351150512695 +1970,51,0,all,21-24 yrs,471,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,135.85977172851562 +1970,51,0,MVA,21-24 yrs,181,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,52.209381103515625 +1970,51,0,suicide,21-24 yrs,40,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,11.537984848022461 +1970,51,0,homicide,21-24 yrs,59,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,17.01852798461914 +1970,51,0,other external,21-24 yrs,74,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,21.345272064208984 +1970,51,0,internal,21-24 yrs,117,346681,22.40041732788086,1,0.49883604049682617,1.1100000143051147,0.20000000298023224,1.0199999809265137,2.3299999237060547,33.74860382080078 +1971,51,0,MVA,15-17 yrs,91,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,32.81265640258789 +1971,51,0,suicide,15-17 yrs,14,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,5.048101425170898 +1971,51,0,homicide,15-17 yrs,17,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,6.1298370361328125 +1971,51,0,other external,15-17 yrs,63,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,22.716455459594727 +1971,51,0,internal,15-17 yrs,77,277332,15.991540908813477,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,27.764556884765625 +1971,51,0,all,18-20 yrs,355,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,126.36914825439453 +1971,51,0,MVA,18-20 yrs,139,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,49.47975158691406 +1971,51,0,suicide,18-20 yrs,25,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,8.899235725402832 +1971,51,0,homicide,18-20 yrs,33,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,11.746991157531738 +1971,51,0,other external,18-20 yrs,73,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,25.985769271850586 +1971,51,0,internal,18-20 yrs,85,280923,19.0159969329834,0,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,30.257402420043945 +1971,51,0,all,21-24 yrs,472,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,132.18771362304688 +1971,51,0,MVA,21-24 yrs,175,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,49.01027297973633 +1971,51,0,suicide,21-24 yrs,40,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,11.202347755432129 +1971,51,0,homicide,21-24 yrs,50,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,14.002935409545898 +1971,51,0,other external,21-24 yrs,88,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,24.645166397094727 +1971,51,0,internal,21-24 yrs,119,357068,22.51750373840332,1,0.4778972268104553,1.0399999618530273,0.23000000417232513,1.0099999904632568,2.2899999618530273,33.32698440551758 +1972,51,0,MVA,15-17 yrs,94,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,32.81687545776367 +1972,51,0,suicide,15-17 yrs,26,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,9.077008247375488 +1972,51,0,homicide,15-17 yrs,18,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,6.284082412719727 +1972,51,0,other external,15-17 yrs,60,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.946941375732422 +1972,51,0,internal,15-17 yrs,60,286438,15.987397193908691,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.946941375732422 +1972,51,0,all,18-20 yrs,324,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,111.88927459716797 +1972,51,0,MVA,18-20 yrs,150,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,51.80058670043945 +1972,51,0,suicide,18-20 yrs,36,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,12.432141304016113 +1972,51,0,homicide,18-20 yrs,24,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,8.288094520568848 +1972,51,0,other external,18-20 yrs,46,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,15.885514259338379 +1972,51,0,internal,18-20 yrs,68,289572,19.00955581665039,0,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,23.482933044433594 +1972,51,0,all,21-24 yrs,488,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,140.98870849609375 +1972,51,0,MVA,21-24 yrs,176,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,50.848388671875 +1972,51,0,suicide,21-24 yrs,60,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,17.334678649902344 +1972,51,0,homicide,21-24 yrs,72,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.801612854003906 +1972,51,0,other external,21-24 yrs,70,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,20.223791122436523 +1972,51,0,internal,21-24 yrs,110,346127,22.46190071105957,1,0.46303442120552063,0.9700000286102295,0.20999999344348907,0.9800000190734863,2.1600000858306885,31.780242919921875 +1973,51,0,MVA,15-17 yrs,82,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,27.92192840576172 +1973,51,0,suicide,15-17 yrs,21,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,7.150737762451172 +1973,51,0,homicide,15-17 yrs,14,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,4.767158508300781 +1973,51,0,other external,15-17 yrs,44,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,14.982498168945312 +1973,51,0,internal,15-17 yrs,48,293676,15.990346908569336,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,16.34454345703125 +1973,51,0,all,18-20 yrs,382,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,126.820556640625 +1973,51,0,MVA,18-20 yrs,166,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,55.110504150390625 +1973,51,0,suicide,18-20 yrs,35,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,11.619684219360352 +1973,51,0,homicide,18-20 yrs,29,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,9.627738952636719 +1973,51,0,other external,18-20 yrs,84,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,27.887243270874023 +1973,51,0,internal,18-20 yrs,68,301213,19.011394500732422,0,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,22.57538604736328 +1973,51,0,all,21-24 yrs,474,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,134.41317749023438 +1973,51,0,MVA,21-24 yrs,180,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,51.04297637939453 +1973,51,0,suicide,21-24 yrs,55,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,15.596465110778809 +1973,51,0,homicide,21-24 yrs,62,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,17.581470489501953 +1973,51,0,other external,21-24 yrs,76,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,21.55147933959961 +1973,51,0,internal,21-24 yrs,101,352644,22.429014205932617,1,0.43591976165771484,1.0299999713897705,0.25,0.9900000095367432,2.2799999713897705,28.64078140258789 +1974,51,0.5041095614433289,MVA,15-17 yrs,96,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,32.02156066894531 +1974,51,0.5041095614433289,suicide,15-17 yrs,18,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,6.004042625427246 +1974,51,0.5041095614433289,homicide,15-17 yrs,15,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,5.003368854522705 +1974,51,0.5041095614433289,other external,15-17 yrs,53,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,17.678569793701172 +1974,51,0.5041095614433289,internal,15-17 yrs,57,299798,16.002952575683594,0,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,19.012802124023438 +1974,51,0.5041095614433289,all,18-20 yrs,371,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,120.1047592163086 +1974,51,0.5041095614433289,MVA,18-20 yrs,160,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,51.79719924926758 +1974,51,0.5041095614433289,suicide,18-20 yrs,32,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,10.359439849853516 +1974,51,0.5041095614433289,homicide,18-20 yrs,35,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,11.33063793182373 +1974,51,0.5041095614433289,other external,18-20 yrs,83,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,26.86979866027832 +1974,51,0.5041095614433289,internal,18-20 yrs,61,308897,19.01285171508789,0.5041095614433289,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,19.747682571411133 +1974,51,0.5041095614433289,all,21-24 yrs,458,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,125.4069595336914 +1974,51,0.5041095614433289,MVA,21-24 yrs,143,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,39.15544891357422 +1974,51,0.5041095614433289,suicide,21-24 yrs,57,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,15.607416152954102 +1974,51,0.5041095614433289,homicide,21-24 yrs,77,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,21.083702087402344 +1974,51,0.5041095614433289,other external,21-24 yrs,81,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,22.178958892822266 +1974,51,0.5041095614433289,internal,21-24 yrs,100,365211,22.4202938079834,1,0.3925930857658386,1.100000023841858,0.2199999988079071,0.9800000190734863,2.309999942779541,27.381431579589844 +1975,51,1,MVA,15-17 yrs,80,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,26.609987258911133 +1975,51,1,suicide,15-17 yrs,18,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,5.987246990203857 +1975,51,1,homicide,15-17 yrs,15,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,4.989372730255127 +1975,51,1,other external,15-17 yrs,60,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,19.957490921020508 +1975,51,1,internal,15-17 yrs,51,300639,16.006813049316406,0,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,16.9638671875 +1975,51,1,all,18-20 yrs,397,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,124.91150665283203 +1975,51,1,MVA,18-20 yrs,160,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,50.34217071533203 +1975,51,1,suicide,18-20 yrs,42,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,13.21481990814209 +1975,51,1,homicide,18-20 yrs,47,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,14.788012504577637 +1975,51,1,other external,18-20 yrs,85,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,26.744277954101562 +1975,51,1,internal,18-20 yrs,63,317825,19.00943374633789,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,19.822229385375977 +1975,51,1,all,21-24 yrs,473,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,124.08575439453125 +1975,51,1,MVA,21-24 yrs,135,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,35.41559600830078 +1975,51,1,suicide,21-24 yrs,83,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,21.774032592773438 +1975,51,1,homicide,21-24 yrs,71,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,18.625980377197266 +1975,51,1,other external,21-24 yrs,89,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,23.348058700561523 +1975,51,1,internal,21-24 yrs,95,381188,22.432228088378906,1,0.35975536704063416,1.1399999856948853,0.25,0.9599999785423279,2.3499999046325684,24.92208480834961 +1976,51,1,MVA,15-17 yrs,108,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,35.70224380493164 +1976,51,1,suicide,15-17 yrs,20,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,6.6115264892578125 +1976,51,1,homicide,15-17 yrs,19,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,6.28095006942749 +1976,51,1,other external,15-17 yrs,35,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,11.570171356201172 +1976,51,1,internal,15-17 yrs,53,302502,16.003002166748047,0,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,17.520545959472656 +1976,51,1,all,18-20 yrs,334,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,103.14180755615234 +1976,51,1,MVA,18-20 yrs,149,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,46.01236343383789 +1976,51,1,suicide,18-20 yrs,38,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,11.734697341918945 +1976,51,1,homicide,18-20 yrs,28,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,8.646618843078613 +1976,51,1,other external,18-20 yrs,55,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,16.98443031311035 +1976,51,1,internal,18-20 yrs,64,323826,19.01424217224121,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,19.763700485229492 +1976,51,1,all,21-24 yrs,398,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,100.97038269042969 +1976,51,1,MVA,21-24 yrs,103,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,26.130525588989258 +1976,51,1,suicide,21-24 yrs,68,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,17.251220703125 +1976,51,1,homicide,21-24 yrs,54,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,13.699499130249023 +1976,51,1,other external,21-24 yrs,72,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,18.26599884033203 +1976,51,1,internal,21-24 yrs,101,394175,22.44515037536621,1,0.4422019124031067,1.1299999952316284,0.23999999463558197,0.949999988079071,2.319999933242798,25.623136520385742 +1977,51,1,MVA,15-17 yrs,103,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,34.06839370727539 +1977,51,1,suicide,15-17 yrs,25,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,8.2690277099609375 +1977,51,1,homicide,15-17 yrs,15,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,4.961416721343994 +1977,51,1,other external,15-17 yrs,51,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,16.868816375732422 +1977,51,1,internal,15-17 yrs,54,302333,16.00210952758789,0,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,17.861099243164062 +1977,51,1,all,18-20 yrs,402,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,122.97225952148438 +1977,51,1,MVA,18-20 yrs,188,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,57.50941467285156 +1977,51,1,suicide,18-20 yrs,44,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,13.459650039672852 +1977,51,1,homicide,18-20 yrs,33,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,10.094738006591797 +1977,51,1,other external,18-20 yrs,74,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,22.63668441772461 +1977,51,1,internal,18-20 yrs,63,326903,19.026460647583008,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,19.271772384643555 +1977,51,1,all,21-24 yrs,471,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,116.16178131103516 +1977,51,1,MVA,21-24 yrs,157,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,38.7205924987793 +1977,51,1,suicide,21-24 yrs,77,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,18.990354537963867 +1977,51,1,homicide,21-24 yrs,73,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,18.003843307495117 +1977,51,1,other external,21-24 yrs,66,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,16.277446746826172 +1977,51,1,internal,21-24 yrs,98,405469,22.45429801940918,1,0.4231874942779541,1.190000057220459,0.20999999344348907,0.8999999761581421,2.299999952316284,24.16954231262207 +1978,51,1,MVA,15-17 yrs,84,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,27.75382423400879 +1978,51,1,suicide,15-17 yrs,17,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,5.61684513092041 +1978,51,1,homicide,15-17 yrs,15,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,4.956039905548096 +1978,51,1,other external,15-17 yrs,31,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,10.24248218536377 +1978,51,1,internal,15-17 yrs,41,302661,16.00428581237793,0,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,13.5465087890625 +1978,51,1,all,18-20 yrs,366,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,111.83221435546875 +1978,51,1,MVA,18-20 yrs,166,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,50.72171401977539 +1978,51,1,suicide,18-20 yrs,33,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,10.083232879638672 +1978,51,1,homicide,18-20 yrs,37,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,11.305442810058594 +1978,51,1,other external,18-20 yrs,74,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,22.610885620117188 +1978,51,1,internal,18-20 yrs,56,327276,19.03275489807129,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,17.11094093322754 +1978,51,1,all,21-24 yrs,460,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,110.08919525146484 +1978,51,1,MVA,21-24 yrs,163,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,39.00986862182617 +1978,51,1,suicide,21-24 yrs,71,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,16.992027282714844 +1978,51,1,homicide,21-24 yrs,49,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,11.726892471313477 +1978,51,1,other external,21-24 yrs,81,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,19.385271072387695 +1978,51,1,internal,21-24 yrs,96,417843,22.454818725585938,1,0.3933306932449341,1.2200000286102295,0.20999999344348907,0.8999999761581421,2.3299999237060547,22.975135803222656 +1979,51,1,MVA,15-17 yrs,89,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,29.763198852539062 +1979,51,1,suicide,15-17 yrs,17,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,5.685105323791504 +1979,51,1,homicide,15-17 yrs,26,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,8.694867134094238 +1979,51,1,other external,15-17 yrs,24,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,8.026031494140625 +1979,51,1,internal,15-17 yrs,55,299027,16.003986358642578,0,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,18.392988204956055 +1979,51,1,all,18-20 yrs,305,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,94.22217559814453 +1979,51,1,MVA,18-20 yrs,150,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,46.33877182006836 +1979,51,1,suicide,18-20 yrs,36,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,11.121305465698242 +1979,51,1,homicide,18-20 yrs,23,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,7.105278491973877 +1979,51,1,other external,18-20 yrs,50,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.446257591247559 +1979,51,1,internal,18-20 yrs,46,323703,19.03025245666504,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,14.210556983947754 +1979,51,1,all,21-24 yrs,452,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,107.0440673828125 +1979,51,1,MVA,21-24 yrs,147,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,34.81300354003906 +1979,51,1,suicide,21-24 yrs,94,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,22.261377334594727 +1979,51,1,homicide,21-24 yrs,67,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.867151260375977 +1979,51,1,other external,21-24 yrs,66,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,15.630328178405762 +1979,51,1,internal,21-24 yrs,78,422256,22.458518981933594,1,0.35323914885520935,1.2300000190734863,0.25,0.9200000166893005,2.4000000953674316,18.472206115722656 +1980,51,1,MVA,15-17 yrs,99,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,33.70476531982422 +1980,51,1,suicide,15-17 yrs,22,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,7.489948272705078 +1980,51,1,homicide,15-17 yrs,10,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,3.404521942138672 +1980,51,1,other external,15-17 yrs,52,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,17.703514099121094 +1980,51,1,internal,15-17 yrs,59,293727,16.017284393310547,0,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,20.086679458618164 +1980,51,1,all,18-20 yrs,340,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,105.73421478271484 +1980,51,1,MVA,18-20 yrs,151,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,46.958431243896484 +1980,51,1,suicide,18-20 yrs,44,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,13.68325138092041 +1980,51,1,homicide,18-20 yrs,30,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,9.329489707946777 +1980,51,1,other external,18-20 yrs,56,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,17.41504669189453 +1980,51,1,internal,18-20 yrs,59,321561,19.02334213256836,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,18.34799575805664 +1980,51,1,all,21-24 yrs,476,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,112.21492767333984 +1980,51,1,MVA,21-24 yrs,165,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,38.89802932739258 +1980,51,1,suicide,21-24 yrs,71,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,16.737939834594727 +1980,51,1,homicide,21-24 yrs,62,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,14.616230010986328 +1980,51,1,other external,21-24 yrs,86,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,20.274124145507812 +1980,51,1,internal,21-24 yrs,92,424186,22.476715087890625,1,0.3112276792526245,1.2300000190734863,0.25,0.9100000262260437,2.390000104904175,21.6885986328125 +1981,51,1,MVA,15-17 yrs,70,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,24.581327438354492 +1981,51,1,suicide,15-17 yrs,19,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,6.672074794769287 +1981,51,1,homicide,15-17 yrs,9,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,3.160456418991089 +1981,51,1,other external,15-17 yrs,29,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,10.183692932128906 +1981,51,1,internal,15-17 yrs,39,284769,16.038660049438477,0,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.695310592651367 +1981,51,1,all,18-20 yrs,313,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,96.06649017333984 +1981,51,1,MVA,18-20 yrs,141,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,43.27595901489258 +1981,51,1,suicide,18-20 yrs,42,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,12.890711784362793 +1981,51,1,homicide,18-20 yrs,33,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,10.128416061401367 +1981,51,1,other external,18-20 yrs,43,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.197632789611816 +1981,51,1,internal,18-20 yrs,54,325816,19.02622413635254,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,16.573772430419922 +1981,51,1,all,21-24 yrs,416,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,96.263092041015625 +1981,51,1,MVA,21-24 yrs,156,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,36.09865951538086 +1981,51,1,suicide,21-24 yrs,70,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,16.198116302490234 +1981,51,1,homicide,21-24 yrs,59,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,13.652698516845703 +1981,51,1,other external,21-24 yrs,52,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,12.032886505126953 +1981,51,1,internal,21-24 yrs,79,432149,22.49664306640625,1,0.28212496638298035,1.2300000190734863,0.27000001072883606,0.8899999856948853,2.390000104904175,18.280731201171875 +1982,51,1,MVA,15-17 yrs,67,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,24.57696533203125 +1982,51,1,suicide,15-17 yrs,18,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,6.602766513824463 +1982,51,1,homicide,15-17 yrs,13,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,4.768664836883545 +1982,51,1,other external,15-17 yrs,27,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,9.904150009155273 +1982,51,1,internal,15-17 yrs,41,272613,16.033292770385742,0,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,15.039634704589844 +1982,51,1,all,18-20 yrs,294,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,91.1387710571289 +1982,51,1,MVA,18-20 yrs,136,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,42.15943145751953 +1982,51,1,suicide,18-20 yrs,35,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,10.849853515625 +1982,51,1,homicide,18-20 yrs,37,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,11.469844818115234 +1982,51,1,other external,18-20 yrs,44,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.639816284179688 +1982,51,1,internal,18-20 yrs,42,322585,19.025304794311523,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.019824028015137 +1982,51,1,all,21-24 yrs,395,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,91.50148010253906 +1982,51,1,MVA,21-24 yrs,118,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,27.334619522094727 +1982,51,1,suicide,21-24 yrs,72,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,16.67875099182129 +1982,51,1,homicide,21-24 yrs,57,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,13.204010963439941 +1982,51,1,other external,21-24 yrs,55,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,12.74071216583252 +1982,51,1,internal,21-24 yrs,93,431687,22.497901916503906,1,0.26575297117233276,1.4500000476837158,0.27000001072883606,0.8600000143051147,2.5899999141693115,21.543386459350586 +1983,51,0.8458024263381958,MVA,15-17 yrs,45,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,17.06827735900879 +1983,51,0.8458024263381958,suicide,15-17 yrs,20,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,7.585900783538818 +1983,51,0.8458024263381958,homicide,15-17 yrs,7,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,2.6550652980804443 +1983,51,0.8458024263381958,other external,15-17 yrs,24,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,9.103080749511719 +1983,51,0.8458024263381958,internal,15-17 yrs,44,263647,16.01850128173828,0,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.688982009887695 +1983,51,0.8458024263381958,all,18-20 yrs,312,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,97.00738525390625 +1983,51,0.8458024263381958,MVA,18-20 yrs,140,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,43.528953552246094 +1983,51,0.8458024263381958,suicide,18-20 yrs,47,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,14.61329174041748 +1983,51,0.8458024263381958,homicide,18-20 yrs,33,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,10.260396003723145 +1983,51,0.8458024263381958,other external,18-20 yrs,38,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,11.815001487731934 +1983,51,0.8458024263381958,internal,18-20 yrs,54,321625,19.04244613647461,0.8458024263381958,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.78973960876465 +1983,51,0.8458024263381958,all,21-24 yrs,382,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,88.26268005371094 +1983,51,0.8458024263381958,MVA,21-24 yrs,128,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,29.57493019104004 +1983,51,0.8458024263381958,suicide,21-24 yrs,63,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,14.556410789489746 +1983,51,0.8458024263381958,homicide,21-24 yrs,45,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,10.397436141967773 +1983,51,0.8458024263381958,other external,21-24 yrs,71,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,16.404844284057617 +1983,51,0.8458024263381958,internal,21-24 yrs,75,432799,22.496952056884766,1,0.25748154520988464,1.4700000286102295,0.27000001072883606,0.8199999928474426,2.569999933242798,17.329059600830078 +1984,51,0.7036128640174866,MVA,15-17 yrs,68,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,25.971843719482422 +1984,51,0.7036128640174866,suicide,15-17 yrs,20,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,7.638777256011963 +1984,51,0.7036128640174866,homicide,15-17 yrs,11,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,4.201327800750732 +1984,51,0.7036128640174866,other external,15-17 yrs,25,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,9.548471450805664 +1984,51,0.7036128640174866,internal,15-17 yrs,37,261822,16.004079818725586,0,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,14.131738662719727 +1984,51,0.7036128640174866,all,18-20 yrs,282,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,90.03486633300781 +1984,51,0.7036128640174866,MVA,18-20 yrs,124,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,39.58979797363281 +1984,51,0.7036128640174866,suicide,18-20 yrs,38,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,12.132357597351074 +1984,51,0.7036128640174866,homicide,18-20 yrs,18,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,5.746906280517578 +1984,51,0.7036128640174866,other external,18-20 yrs,40,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,12.770902633666992 +1984,51,0.7036128640174866,internal,18-20 yrs,62,313212,19.06350326538086,0.7036128640174866,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,19.794898986816406 +1984,51,0.7036128640174866,all,21-24 yrs,475,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,108.67103576660156 +1984,51,0.7036128640174866,MVA,21-24 yrs,175,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,40.03669738769531 +1984,51,0.7036128640174866,suicide,21-24 yrs,61,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,13.955648422241211 +1984,51,0.7036128640174866,homicide,21-24 yrs,71,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,16.243459701538086 +1984,51,0.7036128640174866,other external,21-24 yrs,66,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,15.099554061889648 +1984,51,0.7036128640174866,internal,21-24 yrs,102,437099,22.491573333740234,1,0.2468254119157791,1.4600000381469727,0.28999999165534973,0.800000011920929,2.549999952316284,23.335674285888672 +1985,51,0.6557776927947998,MVA,15-17 yrs,51,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,19.2561092376709 +1985,51,0.6557776927947998,suicide,15-17 yrs,24,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,9.061698913574219 +1985,51,0.6557776927947998,homicide,15-17 yrs,13,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,4.908420085906982 +1985,51,0.6557776927947998,other external,15-17 yrs,26,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,9.816840171813965 +1985,51,0.6557776927947998,internal,15-17 yrs,40,264851,15.992935180664062,0,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,15.102831840515137 +1985,51,0.6557776927947998,all,18-20 yrs,232,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,76.963653564453125 +1985,51,0.6557776927947998,MVA,18-20 yrs,113,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,37.48660659790039 +1985,51,0.6557776927947998,suicide,18-20 yrs,38,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,12.606115341186523 +1985,51,0.6557776927947998,homicide,18-20 yrs,17,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,5.639577865600586 +1985,51,0.6557776927947998,other external,18-20 yrs,32,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,10.615675926208496 +1985,51,0.6557776927947998,internal,18-20 yrs,32,301441,19.06012535095215,0.6557776927947998,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,10.615675926208496 +1985,51,0.6557776927947998,all,21-24 yrs,441,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,100.55819702148438 +1985,51,0.6557776927947998,MVA,21-24 yrs,154,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,35.115562438964844 +1985,51,0.6557776927947998,suicide,21-24 yrs,76,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,17.329757690429688 +1985,51,0.6557776927947998,homicide,21-24 yrs,57,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,12.997318267822266 +1985,51,0.6557776927947998,other external,21-24 yrs,69,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,15.733595848083496 +1985,51,0.6557776927947998,internal,21-24 yrs,85,438552,22.49308204650879,1,0.2383379340171814,1.4600000381469727,0.30000001192092896,0.7900000214576721,2.549999952316284,19.38196563720703 +1986,51,0.35157930850982666,MVA,15-17 yrs,76,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,27.966880798339844 +1986,51,0.35157930850982666,suicide,15-17 yrs,17,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,6.255749702453613 +1986,51,0.35157930850982666,homicide,15-17 yrs,13,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,4.783808708190918 +1986,51,0.35157930850982666,other external,15-17 yrs,24,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,8.831646919250488 +1986,51,0.35157930850982666,internal,15-17 yrs,33,271750,15.993236541748047,0,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,12.143514633178711 +1986,51,0.35157930850982666,all,18-20 yrs,293,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,99.49809265136719 +1986,51,0.35157930850982666,MVA,18-20 yrs,147,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,49.91883850097656 +1986,51,0.35157930850982666,suicide,18-20 yrs,35,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.885437965393066 +1986,51,0.35157930850982666,homicide,18-20 yrs,21,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,7.13126277923584 +1986,51,0.35157930850982666,other external,18-20 yrs,33,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.206270217895508 +1986,51,0.35157930850982666,internal,18-20 yrs,57,294478,19.05000114440918,0.35157930850982666,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,19.356285095214844 +1986,51,0.35157930850982666,all,21-24 yrs,425,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,96.42742156982422 +1986,51,0.35157930850982666,MVA,21-24 yrs,161,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,36.52897644042969 +1986,51,0.35157930850982666,suicide,21-24 yrs,76,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,17.243492126464844 +1986,51,0.35157930850982666,homicide,21-24 yrs,61,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,13.840170860290527 +1986,51,0.35157930850982666,other external,21-24 yrs,49,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,11.117514610290527 +1986,51,0.35157930850982666,internal,21-24 yrs,78,440746,22.503171920776367,1,0.2339887022972107,1.5199999809265137,0.27000001072883606,0.7300000190734863,2.5299999713897705,17.697267532348633 +1987,51,0.043210454285144806,MVA,15-17 yrs,64,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,23.61719512939453 +1987,51,0.043210454285144806,suicide,15-17 yrs,25,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,9.22546672821045 +1987,51,0.043210454285144806,homicide,15-17 yrs,16,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,5.904298782348633 +1987,51,0.043210454285144806,other external,15-17 yrs,31,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,11.439579010009766 +1987,51,0.043210454285144806,internal,15-17 yrs,40,270989,16.026823043823242,0,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.760746955871582 +1987,51,0.043210454285144806,all,18-20 yrs,290,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,97.96138763427734 +1987,51,0.043210454285144806,MVA,18-20 yrs,132,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,44.58932113647461 +1987,51,0.043210454285144806,suicide,18-20 yrs,52,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,17.56549072265625 +1987,51,0.043210454285144806,homicide,18-20 yrs,33,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,11.147330284118652 +1987,51,0.043210454285144806,other external,18-20 yrs,30,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,10.133936882019043 +1987,51,0.043210454285144806,internal,18-20 yrs,43,296035,19.03713035583496,0.043210454285144806,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.525309562683105 +1987,51,0.043210454285144806,all,21-24 yrs,424,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,96.44890594482422 +1987,51,0.043210454285144806,MVA,21-24 yrs,146,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,33.211181640625 +1987,51,0.043210454285144806,suicide,21-24 yrs,66,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,15.013273239135742 +1987,51,0.043210454285144806,homicide,21-24 yrs,62,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,14.103377342224121 +1987,51,0.043210454285144806,other external,21-24 yrs,58,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,13.193482398986816 +1987,51,0.043210454285144806,internal,21-24 yrs,92,439611,22.532140731811523,1,0.2257496565580368,1.399999976158142,0.25999999046325684,0.7099999785423279,2.359999895095825,20.927593231201172 +1988,51,0,MVA,15-17 yrs,75,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,28.632511138916016 +1988,51,0,suicide,15-17 yrs,29,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,11.071237564086914 +1988,51,0,homicide,15-17 yrs,17,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,6.4900360107421875 +1988,51,0,other external,15-17 yrs,28,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.689471244812012 +1988,51,0,internal,15-17 yrs,27,261940,16.058940887451172,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.307703971862793 +1988,51,0,all,18-20 yrs,266,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,88.2984619140625 +1988,51,0,MVA,18-20 yrs,122,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,40.4977912902832 +1988,51,0,suicide,18-20 yrs,28,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,9.294574737548828 +1988,51,0,homicide,18-20 yrs,39,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,12.946015357971191 +1988,51,0,other external,18-20 yrs,28,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,9.294574737548828 +1988,51,0,internal,18-20 yrs,49,301251,19.023874282836914,0,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,16.265506744384766 +1988,51,0,all,21-24 yrs,440,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,102.3491439819336 +1988,51,0,MVA,21-24 yrs,163,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,37.915706634521484 +1988,51,0,suicide,21-24 yrs,56,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,13.026254653930664 +1988,51,0,homicide,21-24 yrs,72,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,16.7480411529541 +1988,51,0,other external,21-24 yrs,44,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,10.234914779663086 +1988,51,0,internal,21-24 yrs,105,429901,22.544618606567383,1,0.21678072214126587,1.309999942779541,0.25,0.6800000071525574,2.240000009536743,24.42422866821289 +1989,51,0,MVA,15-17 yrs,65,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,26.35590934753418 +1989,51,0,suicide,15-17 yrs,26,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.542364120483398 +1989,51,0,homicide,15-17 yrs,22,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,8.920461654663086 +1989,51,0,other external,15-17 yrs,20,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,8.10951042175293 +1989,51,0,internal,15-17 yrs,27,246624,16.04446029663086,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.947839736938477 +1989,51,0,all,18-20 yrs,257,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,83.29039001464844 +1989,51,0,MVA,18-20 yrs,96,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,31.112363815307617 +1989,51,0,suicide,18-20 yrs,40,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,12.963484764099121 +1989,51,0,homicide,18-20 yrs,45,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,14.5839204788208 +1989,51,0,other external,18-20 yrs,31,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,10.046701431274414 +1989,51,0,internal,18-20 yrs,45,308559,19.024080276489258,0,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,14.5839204788208 +1989,51,0,all,21-24 yrs,385,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,91.926910400390625 +1989,51,0,MVA,21-24 yrs,115,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,27.45868682861328 +1989,51,0,suicide,21-24 yrs,57,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,13.609957695007324 +1989,51,0,homicide,21-24 yrs,75,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,17.907838821411133 +1989,51,0,other external,21-24 yrs,41,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,9.789618492126465 +1989,51,0,internal,21-24 yrs,97,418811,22.533342361450195,1,0.20681580901145935,1.2300000190734863,0.3100000023841858,0.6499999761581421,2.190000057220459,23.160804748535156 +1990,51,0,MVA,15-17 yrs,71,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,29.641380310058594 +1990,51,0,suicide,15-17 yrs,18,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,7.514716148376465 +1990,51,0,homicide,15-17 yrs,39,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,16.281885147094727 +1990,51,0,other external,15-17 yrs,17,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,7.097231864929199 +1990,51,0,internal,15-17 yrs,27,239530,16.017520904541016,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,11.272074699401855 +1990,51,0,all,18-20 yrs,293,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,95.0622787475586 +1990,51,0,MVA,18-20 yrs,129,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,41.85335922241211 +1990,51,0,suicide,18-20 yrs,29,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,9.408894538879395 +1990,51,0,homicide,18-20 yrs,51,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,16.546676635742188 +1990,51,0,other external,18-20 yrs,37,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,12.004451751708984 +1990,51,0,internal,18-20 yrs,47,308219,19.061643600463867,0,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,15.248897552490234 +1990,51,0,all,21-24 yrs,405,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,97.88188171386719 +1990,51,0,MVA,21-24 yrs,114,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,27.551937103271484 +1990,51,0,suicide,21-24 yrs,60,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,14.501019477844238 +1990,51,0,homicide,21-24 yrs,83,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,20.059743881225586 +1990,51,0,other external,21-24 yrs,50,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,12.084183692932129 +1990,51,0,internal,21-24 yrs,98,413764,22.502920150756836,1,0.19621393084526062,1.25,0.30000001192092896,0.6200000047683716,2.180000066757202,23.684999465942383 +1991,51,0,MVA,15-17 yrs,62,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,26.187740325927734 +1991,51,0,suicide,15-17 yrs,20,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,8.44765853881836 +1991,51,0,homicide,15-17 yrs,27,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,11.404338836669922 +1991,51,0,other external,15-17 yrs,22,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,9.292424201965332 +1991,51,0,internal,15-17 yrs,34,236752,16.014968872070312,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,14.361019134521484 +1991,51,0,all,18-20 yrs,278,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,95.396270751953125 +1991,51,0,MVA,18-20 yrs,95,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,32.59944534301758 +1991,51,0,suicide,18-20 yrs,29,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,9.951409339904785 +1991,51,0,homicide,18-20 yrs,62,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,21.275426864624023 +1991,51,0,other external,18-20 yrs,30,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,10.294561386108398 +1991,51,0,internal,18-20 yrs,62,291416,19.084449768066406,0,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,21.275426864624023 +1991,51,0,all,21-24 yrs,404,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,98.16499328613281 +1991,51,0,MVA,21-24 yrs,123,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,29.88686752319336 +1991,51,0,suicide,21-24 yrs,56,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,13.60702896118164 +1991,51,0,homicide,21-24 yrs,98,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,23.812301635742188 +1991,51,0,other external,21-24 yrs,44,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,10.691237449645996 +1991,51,0,internal,21-24 yrs,83,411552,22.47989273071289,1,0.18829046189785004,1.2000000476837158,0.2800000011920929,0.5799999833106995,2.059999942779541,20.167560577392578 +1992,51,0,MVA,15-17 yrs,46,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,19.09307861328125 +1992,51,0,suicide,15-17 yrs,21,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,8.716405868530273 +1992,51,0,homicide,15-17 yrs,27,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,11.206807136535645 +1992,51,0,other external,15-17 yrs,9,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,3.735602378845215 +1992,51,0,internal,15-17 yrs,39,240925,16.004270553588867,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.187610626220703 +1992,51,0,all,18-20 yrs,273,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,98.56841278076172 +1992,51,0,MVA,18-20 yrs,102,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,36.8277587890625 +1992,51,0,suicide,18-20 yrs,38,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,13.720145225524902 +1992,51,0,homicide,18-20 yrs,65,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.468669891357422 +1992,51,0,other external,18-20 yrs,22,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,7.943242073059082 +1992,51,0,internal,18-20 yrs,46,276965,19.0692138671875,0,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.608596801757812 +1992,51,0,all,21-24 yrs,405,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,97.304779052734375 +1992,51,0,MVA,21-24 yrs,98,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.545352935791016 +1992,51,0,suicide,21-24 yrs,70,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,16.8181095123291 +1992,51,0,homicide,21-24 yrs,93,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,22.34406089782715 +1992,51,0,other external,21-24 yrs,45,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,10.811641693115234 +1992,51,0,internal,21-24 yrs,99,416218,22.468624114990234,1,0.18278802931308746,1.25,0.2800000011920929,0.5699999928474426,2.0999999046325684,23.785612106323242 +1993,51,0,MVA,15-17 yrs,46,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.842960357666016 +1993,51,0,suicide,15-17 yrs,23,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,9.421480178833008 +1993,51,0,homicide,15-17 yrs,29,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,11.879257202148438 +1993,51,0,other external,15-17 yrs,21,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,8.60222053527832 +1993,51,0,internal,15-17 yrs,26,244123,15.996710777282715,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,10.650368690490723 +1993,51,0,all,18-20 yrs,223,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,82.385406494140625 +1993,51,0,MVA,18-20 yrs,67,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,24.752567291259766 +1993,51,0,suicide,18-20 yrs,37,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,13.669327735900879 +1993,51,0,homicide,18-20 yrs,52,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,19.210947036743164 +1993,51,0,other external,18-20 yrs,17,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,6.280501842498779 +1993,51,0,internal,18-20 yrs,50,270679,19.044015884399414,0,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.472064971923828 +1993,51,0,all,21-24 yrs,394,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,95.041900634765625 +1993,51,0,MVA,21-24 yrs,94,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,22.674970626831055 +1993,51,0,suicide,21-24 yrs,73,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,17.609285354614258 +1993,51,0,homicide,21-24 yrs,77,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,18.57417869567871 +1993,51,0,other external,21-24 yrs,42,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,10.131370544433594 +1993,51,0,internal,21-24 yrs,108,414554,22.505887985229492,1,0.17747515439987183,1.2400000095367432,0.27000001072883606,0.5400000214576721,2.049999952316284,26.052095413208008 +1994,51,0,MVA,15-17 yrs,63,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,25.10270118713379 +1994,51,0,suicide,15-17 yrs,20,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,7.969111919403076 +1994,51,0,homicide,15-17 yrs,22,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.766022682189941 +1994,51,0,other external,15-17 yrs,25,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,9.961389541625977 +1994,51,0,internal,15-17 yrs,32,250969,16.006553649902344,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,12.750578880310059 +1994,51,0,all,18-20 yrs,238,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,88.8079605102539 +1994,51,0,MVA,18-20 yrs,88,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,32.83655548095703 +1994,51,0,suicide,18-20 yrs,30,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,11.194280624389648 +1994,51,0,homicide,18-20 yrs,60,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,22.388561248779297 +1994,51,0,other external,18-20 yrs,23,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.582282066345215 +1994,51,0,internal,18-20 yrs,37,267994,19.041366577148438,0,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,13.806279182434082 +1994,51,0,all,21-24 yrs,373,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,92.396942138671875 +1994,51,0,MVA,21-24 yrs,98,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,24.2758731842041 +1994,51,0,suicide,21-24 yrs,65,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,16.10134506225586 +1994,51,0,homicide,21-24 yrs,97,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,24.028160095214844 +1994,51,0,other external,21-24 yrs,36,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,8.917667388916016 +1994,51,0,internal,21-24 yrs,77,403693,22.549888610839844,1,0.17304427921772003,1.2000000476837158,0.27000001072883606,0.5099999904632568,1.9900000095367432,19.07390022277832 +1995,51,0,MVA,15-17 yrs,64,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,24.747018814086914 +1995,51,0,suicide,15-17 yrs,16,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,6.1867547035217285 +1995,51,0,homicide,15-17 yrs,27,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,10.440149307250977 +1995,51,0,other external,15-17 yrs,19,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,7.346771717071533 +1995,51,0,internal,15-17 yrs,30,258617,15.994133949279785,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,11.600165367126465 +1995,51,0,all,18-20 yrs,243,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,89.71126556396484 +1995,51,0,MVA,18-20 yrs,89,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,32.85721206665039 +1995,51,0,suicide,18-20 yrs,33,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,12.183011054992676 +1995,51,0,homicide,18-20 yrs,65,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,23.99683952331543 +1995,51,0,other external,18-20 yrs,21,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,7.7528252601623535 +1995,51,0,internal,18-20 yrs,35,270869,19.029722213745117,0,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,12.921375274658203 +1995,51,0,all,21-24 yrs,366,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,94.2424545288086 +1995,51,0,MVA,21-24 yrs,98,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,25.234317779541016 +1995,51,0,suicide,21-24 yrs,69,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,17.76702117919922 +1995,51,0,homicide,21-24 yrs,76,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,19.56947135925293 +1995,51,0,other external,21-24 yrs,32,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,8.239777565002441 +1995,51,0,internal,21-24 yrs,91,388360,22.56056785583496,1,0.16827534139156342,1.149999976158142,0.28999999165534973,0.49000000953674316,1.9299999475479126,23.431867599487305 +1996,51,0,MVA,15-17 yrs,55,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,20.750253677368164 +1996,51,0,suicide,15-17 yrs,32,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,12.072875022888184 +1996,51,0,homicide,15-17 yrs,28,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,10.563765525817871 +1996,51,0,other external,15-17 yrs,21,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,7.922824382781982 +1996,51,0,internal,15-17 yrs,41,265057,16.00518035888672,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,15.468371391296387 +1996,51,0,all,18-20 yrs,240,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,87.3912582397461 +1996,51,0,MVA,18-20 yrs,81,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,29.494550704956055 +1996,51,0,suicide,18-20 yrs,31,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,11.28803825378418 +1996,51,0,homicide,18-20 yrs,55,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,20.027164459228516 +1996,51,0,other external,18-20 yrs,23,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,8.374996185302734 +1996,51,0,internal,18-20 yrs,50,274627,19.018280029296875,0,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,18.206512451171875 +1996,51,0,all,21-24 yrs,345,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,92.13291931152344 +1996,51,0,MVA,21-24 yrs,74,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,19.761842727661133 +1996,51,0,suicide,21-24 yrs,69,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,18.426584243774414 +1996,51,0,homicide,21-24 yrs,72,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,19.227739334106445 +1996,51,0,other external,21-24 yrs,42,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,11.216180801391602 +1996,51,0,internal,21-24 yrs,88,374459,22.525867462158203,1,0.16344909369945526,1.1299999952316284,0.30000001192092896,0.49000000953674316,1.9199999570846558,23.50057029724121 +1970,53,0,MVA,15-17 yrs,56,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,27.66333770751953 +1970,53,0,suicide,15-17 yrs,9,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,4.445893287658691 +1970,53,0,homicide,15-17 yrs,9,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,4.445893287658691 +1970,53,0,other external,15-17 yrs,41,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,20.253515243530273 +1970,53,0,internal,15-17 yrs,35,202434,15.994758605957031,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,17.28958511352539 +1970,53,0,all,18-20 yrs,264,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,137.4842529296875 +1970,53,0,MVA,18-20 yrs,124,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,64.57593536376953 +1970,53,0,suicide,18-20 yrs,22,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,11.45702075958252 +1970,53,0,homicide,18-20 yrs,12,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,6.249283790588379 +1970,53,0,other external,18-20 yrs,51,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,26.55945587158203 +1970,53,0,internal,18-20 yrs,55,192022,18.99759864807129,0,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,28.64255142211914 +1970,53,0,all,21-24 yrs,289,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,124.27220916748047 +1970,53,0,MVA,21-24 yrs,112,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,48.160858154296875 +1970,53,0,suicide,21-24 yrs,34,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,14.620260238647461 +1970,53,0,homicide,21-24 yrs,16,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,6.880122661590576 +1970,53,0,other external,21-24 yrs,60,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,25.800458908081055 +1970,53,0,internal,21-24 yrs,67,232554,22.41597557067871,1,0.12470901012420654,1.190000057220459,0.38999998569488525,1.0800000429153442,2.6600000858306885,28.81051254272461 +1971,53,0,MVA,15-17 yrs,59,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,29.11121940612793 +1971,53,0,suicide,15-17 yrs,11,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,5.427515506744385 +1971,53,0,homicide,15-17 yrs,4,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,1.9736419916152954 +1971,53,0,other external,15-17 yrs,39,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,19.243009567260742 +1971,53,0,internal,15-17 yrs,48,202671,15.992445945739746,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,23.683704376220703 +1971,53,0,all,18-20 yrs,258,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,130.84756469726562 +1971,53,0,MVA,18-20 yrs,128,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,64.9166259765625 +1971,53,0,suicide,18-20 yrs,23,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,11.664705276489258 +1971,53,0,homicide,18-20 yrs,8,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,4.057289123535156 +1971,53,0,other external,18-20 yrs,39,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,19.77928352355957 +1971,53,0,internal,18-20 yrs,60,197176,18.98841094970703,0,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,30.42966651916504 +1971,53,0,all,21-24 yrs,314,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,126.21492004394531 +1971,53,0,MVA,21-24 yrs,117,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,47.02912521362305 +1971,53,0,suicide,21-24 yrs,33,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,13.264625549316406 +1971,53,0,homicide,21-24 yrs,13,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,5.22545862197876 +1971,53,0,other external,21-24 yrs,64,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,25.72533416748047 +1971,53,0,internal,21-24 yrs,87,248782,22.536558151245117,1,0.11947430670261383,1.2300000190734863,0.4399999976158142,1.059999942779541,2.7300000190734863,34.970375061035156 +1972,53,0,MVA,15-17 yrs,92,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,45.02388381958008 +1972,53,0,suicide,15-17 yrs,10,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,4.893900394439697 +1972,53,0,homicide,15-17 yrs,2,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,0.9787800312042236 +1972,53,0,other external,15-17 yrs,48,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,23.490720748901367 +1972,53,0,internal,15-17 yrs,42,204336,15.98132038116455,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,20.554380416870117 +1972,53,0,all,18-20 yrs,250,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,128.0298309326172 +1972,53,0,MVA,18-20 yrs,110,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,56.33312225341797 +1972,53,0,suicide,18-20 yrs,14,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,7.169670104980469 +1972,53,0,homicide,18-20 yrs,6,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,3.0727157592773438 +1972,53,0,other external,18-20 yrs,62,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,31.75139617919922 +1972,53,0,internal,18-20 yrs,58,195267,18.988027572631836,0,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,29.702919006347656 +1972,53,0,all,21-24 yrs,326,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,135.8571014404297 +1972,53,0,MVA,21-24 yrs,100,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,41.67395782470703 +1972,53,0,suicide,21-24 yrs,40,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,16.669584274291992 +1972,53,0,homicide,21-24 yrs,24,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,10.001749992370605 +1972,53,0,other external,21-24 yrs,70,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,29.171772003173828 +1972,53,0,internal,21-24 yrs,92,239958,22.502988815307617,1,0.11575860530138016,1.2400000095367432,0.4300000071525574,1,2.6700000762939453,38.34004211425781 +1973,53,0,MVA,15-17 yrs,71,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,34.44244384765625 +1973,53,0,suicide,15-17 yrs,11,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,5.336153507232666 +1973,53,0,homicide,15-17 yrs,6,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,2.9106290340423584 +1973,53,0,other external,15-17 yrs,37,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,17.94887924194336 +1973,53,0,internal,15-17 yrs,44,206141,15.98626708984375,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,21.344614028930664 +1973,53,0,all,18-20 yrs,264,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,132.41976928710938 +1973,53,0,MVA,18-20 yrs,114,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,57.1812629699707 +1973,53,0,suicide,18-20 yrs,24,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,12.038161277770996 +1973,53,0,homicide,18-20 yrs,15,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,7.523850440979004 +1973,53,0,other external,18-20 yrs,58,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,29.092222213745117 +1973,53,0,internal,18-20 yrs,53,199366,19.004112243652344,0,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,26.584272384643555 +1973,53,0,all,21-24 yrs,327,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,133.24803161621094 +1973,53,0,MVA,21-24 yrs,112,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,45.63846969604492 +1973,53,0,suicide,21-24 yrs,34,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,13.854535102844238 +1973,53,0,homicide,21-24 yrs,19,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,7.7422404289245605 +1973,53,0,other external,21-24 yrs,78,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,31.783933639526367 +1973,53,0,internal,21-24 yrs,84,245407,22.49845314025879,1,0.10897994041442871,1.2999999523162842,0.4300000071525574,1.0299999713897705,2.759999990463257,34.228851318359375 +1974,53,0,MVA,15-17 yrs,78,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,37.19191360473633 +1974,53,0,suicide,15-17 yrs,13,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,6.198652744293213 +1974,53,0,homicide,15-17 yrs,12,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,5.721833229064941 +1974,53,0,other external,15-17 yrs,45,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,21.45687484741211 +1974,53,0,internal,15-17 yrs,52,209723,16.000852584838867,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,24.79461097717285 +1974,53,0,all,18-20 yrs,267,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,130.83682250976562 +1974,53,0,MVA,18-20 yrs,106,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,51.94270706176758 +1974,53,0,suicide,18-20 yrs,23,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,11.270586967468262 +1974,53,0,homicide,18-20 yrs,13,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,6.370331764221191 +1974,53,0,other external,18-20 yrs,67,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,32.83171081542969 +1974,53,0,internal,18-20 yrs,58,204071,19.005767822265625,0,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,28.421480178833008 +1974,53,0,all,21-24 yrs,304,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,118.7620620727539 +1974,53,0,MVA,21-24 yrs,118,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,46.09843063354492 +1974,53,0,suicide,21-24 yrs,51,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,19.923898696899414 +1974,53,0,homicide,21-24 yrs,19,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,7.422628879547119 +1974,53,0,other external,21-24 yrs,66,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,25.78386878967285 +1974,53,0,internal,21-24 yrs,50,255974,22.47981071472168,1,0.09814827144145966,1.340000033378601,0.4399999976158142,1.0700000524520874,2.8499999046325684,19.533233642578125 +1975,53,0,MVA,15-17 yrs,78,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,37.051815032958984 +1975,53,0,suicide,15-17 yrs,6,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,2.850139617919922 +1975,53,0,homicide,15-17 yrs,5,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,2.3751163482666016 +1975,53,0,other external,15-17 yrs,31,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,14.72572135925293 +1975,53,0,internal,15-17 yrs,42,210516,15.999420166015625,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,19.950977325439453 +1975,53,0,all,18-20 yrs,276,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,131.42794799804688 +1975,53,0,MVA,18-20 yrs,122,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,58.09496307373047 +1975,53,0,suicide,18-20 yrs,33,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,15.714210510253906 +1975,53,0,homicide,18-20 yrs,15,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,7.142823219299316 +1975,53,0,other external,18-20 yrs,58,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,27.618915557861328 +1975,53,0,internal,18-20 yrs,48,210001,18.999013900756836,0,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,22.85703468322754 +1975,53,0,all,21-24 yrs,371,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,138.9747314453125 +1975,53,0,MVA,21-24 yrs,116,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,43.45301818847656 +1975,53,0,suicide,21-24 yrs,45,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,16.856773376464844 +1975,53,0,homicide,21-24 yrs,31,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,11.612443923950195 +1975,53,0,other external,21-24 yrs,89,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,33.338951110839844 +1975,53,0,internal,21-24 yrs,90,266955,22.48421287536621,1,0.08993884176015854,1.340000033378601,0.46000000834465027,1.100000023841858,2.9000000953674316,33.71354675292969 +1976,53,0,MVA,15-17 yrs,58,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,27.19021987915039 +1976,53,0,suicide,15-17 yrs,12,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,5.62556266784668 +1976,53,0,homicide,15-17 yrs,10,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,4.687968730926514 +1976,53,0,other external,15-17 yrs,38,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,17.814281463623047 +1976,53,0,internal,15-17 yrs,43,213312,15.988486289978027,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,20.158266067504883 +1976,53,0,all,18-20 yrs,261,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,121.42019653320312 +1976,53,0,MVA,18-20 yrs,133,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,61.87312698364258 +1976,53,0,suicide,18-20 yrs,21,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,9.769441604614258 +1976,53,0,homicide,18-20 yrs,12,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,5.582537651062012 +1976,53,0,other external,18-20 yrs,48,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,22.330150604248047 +1976,53,0,internal,18-20 yrs,47,214956,19.006498336791992,0,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,21.864940643310547 +1976,53,0,all,21-24 yrs,369,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,133.3304443359375 +1976,53,0,MVA,21-24 yrs,124,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,44.8048095703125 +1976,53,0,suicide,21-24 yrs,53,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,19.150442123413086 +1976,53,0,homicide,21-24 yrs,26,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,9.394556999206543 +1976,53,0,other external,21-24 yrs,88,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,31.79696273803711 +1976,53,0,internal,21-24 yrs,78,276756,22.492889404296875,1,0.08503882586956024,1.3600000143051147,0.47999998927116394,1.1100000143051147,2.950000047683716,28.183670043945312 +1977,53,0,MVA,15-17 yrs,85,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,39.51539993286133 +1977,53,0,suicide,15-17 yrs,18,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,8.36796760559082 +1977,53,0,homicide,15-17 yrs,6,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,2.7893223762512207 +1977,53,0,other external,15-17 yrs,43,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,19.990144729614258 +1977,53,0,internal,15-17 yrs,36,215106,15.99614143371582,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,16.73593521118164 +1977,53,0,all,18-20 yrs,281,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,128.86598205566406 +1977,53,0,MVA,18-20 yrs,129,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,59.159114837646484 +1977,53,0,suicide,18-20 yrs,24,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,11.006346702575684 +1977,53,0,homicide,18-20 yrs,8,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,3.6687822341918945 +1977,53,0,other external,18-20 yrs,59,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.057270050048828 +1977,53,0,internal,18-20 yrs,61,218056,19.022829055786133,0,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.974464416503906 +1977,53,0,all,21-24 yrs,394,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,137.56069946289062 +1977,53,0,MVA,21-24 yrs,154,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,53.76738357543945 +1977,53,0,suicide,21-24 yrs,61,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,21.297470092773438 +1977,53,0,homicide,21-24 yrs,28,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,9.775887489318848 +1977,53,0,other external,21-24 yrs,79,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,27.581968307495117 +1977,53,0,internal,21-24 yrs,72,286419,22.5084228515625,1,0.07984669506549835,1.3600000143051147,0.44999998807907104,1.0800000429153442,2.890000104904175,25.137996673583984 +1978,53,0,MVA,15-17 yrs,97,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,44.64429473876953 +1978,53,0,suicide,15-17 yrs,14,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,6.443506717681885 +1978,53,0,homicide,15-17 yrs,12,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,5.523005485534668 +1978,53,0,other external,15-17 yrs,35,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,16.108766555786133 +1978,53,0,internal,15-17 yrs,45,217273,16.0112247467041,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,20.711271286010742 +1978,53,0,all,18-20 yrs,295,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,133.3297119140625 +1978,53,0,MVA,18-20 yrs,150,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,67.794769287109375 +1978,53,0,suicide,18-20 yrs,31,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,14.010919570922852 +1978,53,0,homicide,18-20 yrs,16,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,7.231442451477051 +1978,53,0,other external,18-20 yrs,53,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,23.954153060913086 +1978,53,0,internal,18-20 yrs,45,221256,19.023822784423828,0,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,20.33843231201172 +1978,53,0,all,21-24 yrs,407,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,136.40736389160156 +1978,53,0,MVA,21-24 yrs,169,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,56.640892028808594 +1978,53,0,suicide,21-24 yrs,53,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,17.763120651245117 +1978,53,0,homicide,21-24 yrs,22,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,7.37337064743042 +1978,53,0,other external,21-24 yrs,87,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,29.158329010009766 +1978,53,0,internal,21-24 yrs,76,298371,22.498422622680664,1,0.07421334087848663,1.3899999856948853,0.47999998927116394,1.090000033378601,2.9600000381469727,25.471643447875977 +1979,53,0,MVA,15-17 yrs,85,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,39.39927673339844 +1979,53,0,suicide,15-17 yrs,18,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,8.343376159667969 +1979,53,0,homicide,15-17 yrs,9,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,4.171688079833984 +1979,53,0,other external,15-17 yrs,39,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,18.077314376831055 +1979,53,0,internal,15-17 yrs,46,215740,16.015666961669922,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,21.321962356567383 +1979,53,0,all,18-20 yrs,301,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,132.64352416992188 +1979,53,0,MVA,18-20 yrs,141,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,62.13534164428711 +1979,53,0,suicide,18-20 yrs,42,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,18.508399963378906 +1979,53,0,homicide,18-20 yrs,10,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,4.406761646270752 +1979,53,0,other external,18-20 yrs,62,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,27.321922302246094 +1979,53,0,internal,18-20 yrs,46,226924,19.0150089263916,0,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,20.27110481262207 +1979,53,0,all,21-24 yrs,410,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,132.07614135742188 +1979,53,0,MVA,21-24 yrs,165,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,53.152591705322266 +1979,53,0,suicide,21-24 yrs,53,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,17.073257446289062 +1979,53,0,homicide,21-24 yrs,30,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,9.6641082763671875 +1979,53,0,other external,21-24 yrs,73,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,23.515995025634766 +1979,53,0,internal,21-24 yrs,89,310427,22.501367568969727,1,0.06664889305830002,1.409999966621399,0.47999998927116394,1.100000023841858,2.990000009536743,28.67018699645996 +1980,53,0,MVA,15-17 yrs,96,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,44.88204574584961 +1980,53,0,suicide,15-17 yrs,17,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,7.947862148284912 +1980,53,0,homicide,15-17 yrs,8,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,3.740170478820801 +1980,53,0,other external,15-17 yrs,30,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,14.025638580322266 +1980,53,0,internal,15-17 yrs,40,213894,16.02942657470703,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,18.700851440429688 +1980,53,0,all,18-20 yrs,289,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,123.94975280761719 +1980,53,0,MVA,18-20 yrs,144,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,61.76042938232422 +1980,53,0,suicide,18-20 yrs,30,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,12.866756439208984 +1980,53,0,homicide,18-20 yrs,19,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,8.148945808410645 +1980,53,0,other external,18-20 yrs,61,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,26.162405014038086 +1980,53,0,internal,18-20 yrs,35,233159,19.021093368530273,0,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,15.011215209960938 +1980,53,0,all,21-24 yrs,395,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,122.79779815673828 +1980,53,0,MVA,21-24 yrs,154,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,47.8755989074707 +1980,53,0,suicide,21-24 yrs,72,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,22.38339614868164 +1980,53,0,homicide,21-24 yrs,29,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,9.015534400939941 +1980,53,0,other external,21-24 yrs,57,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,17.72018814086914 +1980,53,0,internal,21-24 yrs,83,321667,22.511423110961914,1,0.058722201734781265,1.5199999809265137,0.5199999809265137,1.0800000429153442,3.119999885559082,25.803081512451172 +1981,53,0,MVA,15-17 yrs,76,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,36.909149169921875 +1981,53,0,suicide,15-17 yrs,22,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,10.68422794342041 +1981,53,0,homicide,15-17 yrs,6,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,2.9138803482055664 +1981,53,0,other external,15-17 yrs,28,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,13.598108291625977 +1981,53,0,internal,15-17 yrs,34,205911,16.036155700683594,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,16.511987686157227 +1981,53,0,all,18-20 yrs,268,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,115.47493743896484 +1981,53,0,MVA,18-20 yrs,152,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,65.49324798583984 +1981,53,0,suicide,18-20 yrs,22,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,9.47928524017334 +1981,53,0,homicide,18-20 yrs,8,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,3.4470129013061523 +1981,53,0,other external,18-20 yrs,56,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,24.129091262817383 +1981,53,0,internal,18-20 yrs,30,232085,19.02552604675293,0,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,12.926298141479492 +1981,53,0,all,21-24 yrs,310,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,96.46051788330078 +1981,53,0,MVA,21-24 yrs,108,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,33.6056022644043 +1981,53,0,suicide,21-24 yrs,48,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,14.935822486877441 +1981,53,0,homicide,21-24 yrs,34,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,10.579541206359863 +1981,53,0,other external,21-24 yrs,50,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,15.558148384094238 +1981,53,0,internal,21-24 yrs,70,321375,22.528202056884766,1,0.09240923821926117,1.3799999952316284,0.5400000214576721,1.0499999523162842,2.9700000286102295,21.781408309936523 +1982,53,0,MVA,15-17 yrs,46,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.309551239013672 +1982,53,0,suicide,15-17 yrs,12,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,6.080752372741699 +1982,53,0,homicide,15-17 yrs,18,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,9.121129035949707 +1982,53,0,other external,15-17 yrs,28,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,14.188422203063965 +1982,53,0,internal,15-17 yrs,46,197344,16.021455764770508,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.309551239013672 +1982,53,0,all,18-20 yrs,252,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,111.89407348632812 +1982,53,0,MVA,18-20 yrs,108,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,47.9546012878418 +1982,53,0,suicide,18-20 yrs,20,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.880481719970703 +1982,53,0,homicide,18-20 yrs,20,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.880481719970703 +1982,53,0,other external,18-20 yrs,54,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,23.9773006439209 +1982,53,0,internal,18-20 yrs,50,225213,19.026077270507812,0,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,22.201204299926758 +1982,53,0,all,21-24 yrs,308,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,97.46958923339844 +1982,53,0,MVA,21-24 yrs,112,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,35.443485260009766 +1982,53,0,suicide,21-24 yrs,56,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,17.721742630004883 +1982,53,0,homicide,21-24 yrs,28,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,8.860871315002441 +1982,53,0,other external,21-24 yrs,58,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,18.35466194152832 +1982,53,0,internal,21-24 yrs,54,315996,22.5217342376709,1,0.09299682825803757,1.3300000429153442,0.5299999713897705,0.9900000095367432,2.8499999046325684,17.088823318481445 +1983,53,0,MVA,15-17 yrs,55,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,28.58390235900879 +1983,53,0,suicide,15-17 yrs,15,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,7.795609474182129 +1983,53,0,homicide,15-17 yrs,4,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,2.078829288482666 +1983,53,0,other external,15-17 yrs,23,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,11.953268051147461 +1983,53,0,internal,15-17 yrs,36,192416,16.002796173095703,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,18.709463119506836 +1983,53,0,all,18-20 yrs,225,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,103.76074981689453 +1983,53,0,MVA,18-20 yrs,102,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,47.0382080078125 +1983,53,0,suicide,18-20 yrs,22,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,10.145495414733887 +1983,53,0,homicide,18-20 yrs,17,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,7.839701175689697 +1983,53,0,other external,18-20 yrs,31,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,14.295926094055176 +1983,53,0,internal,18-20 yrs,53,216845,19.043962478637695,0,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,24.441421508789062 +1983,53,0,all,21-24 yrs,307,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,99.23585510253906 +1983,53,0,MVA,21-24 yrs,105,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,33.94060134887695 +1983,53,0,suicide,21-24 yrs,59,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,19.07138442993164 +1983,53,0,homicide,21-24 yrs,32,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,10.343802452087402 +1983,53,0,other external,21-24 yrs,48,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,15.515703201293945 +1983,53,0,internal,21-24 yrs,63,309364,22.52262306213379,1,0.09010235220193863,1.2899999618530273,0.5400000214576721,0.9399999976158142,2.759999990463257,20.364360809326172 +1984,53,0,MVA,15-17 yrs,47,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,24.22905158996582 +1984,53,0,suicide,15-17 yrs,14,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,7.217164516448975 +1984,53,0,homicide,15-17 yrs,9,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,4.639605522155762 +1984,53,0,other external,15-17 yrs,23,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,11.856770515441895 +1984,53,0,internal,15-17 yrs,30,193982,15.988035202026367,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,15.465352058410645 +1984,53,0,all,18-20 yrs,221,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,106.99122619628906 +1984,53,0,MVA,18-20 yrs,90,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,43.57108688354492 +1984,53,0,suicide,18-20 yrs,33,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,15.976064682006836 +1984,53,0,homicide,18-20 yrs,13,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,6.2936015129089355 +1984,53,0,other external,18-20 yrs,44,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,21.301420211791992 +1984,53,0,internal,18-20 yrs,41,206559,19.051301956176758,0,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,19.849050521850586 +1984,53,0,all,21-24 yrs,336,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,109.91024017333984 +1984,53,0,MVA,21-24 yrs,126,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,41.216339111328125 +1984,53,0,suicide,21-24 yrs,55,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,17.99125862121582 +1984,53,0,homicide,21-24 yrs,28,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,9.159186363220215 +1984,53,0,other external,21-24 yrs,54,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,17.664146423339844 +1984,53,0,internal,21-24 yrs,73,305704,22.52362060546875,1,0.08637337386608124,1.2400000095367432,0.5699999928474426,0.9100000262260437,2.7100000381469727,23.879308700561523 +1985,53,0,MVA,15-17 yrs,48,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,24.11745262145996 +1985,53,0,suicide,15-17 yrs,15,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,7.536703586578369 +1985,53,0,homicide,15-17 yrs,6,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,3.014681577682495 +1985,53,0,other external,15-17 yrs,23,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,11.556279182434082 +1985,53,0,internal,15-17 yrs,40,199026,15.984177589416504,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,20.097877502441406 +1985,53,0,all,18-20 yrs,201,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,101.40196990966797 +1985,53,0,MVA,18-20 yrs,78,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,39.35001754760742 +1985,53,0,suicide,18-20 yrs,29,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,14.630134582519531 +1985,53,0,homicide,18-20 yrs,16,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,8.071798324584961 +1985,53,0,other external,18-20 yrs,26,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,13.11667251586914 +1985,53,0,internal,18-20 yrs,52,198221,19.03662109375,0,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,26.23334503173828 +1985,53,0,all,21-24 yrs,298,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,98.8050537109375 +1985,53,0,MVA,21-24 yrs,107,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,35.47698211669922 +1985,53,0,suicide,21-24 yrs,47,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,15.58334732055664 +1985,53,0,homicide,21-24 yrs,33,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,10.941499710083008 +1985,53,0,other external,21-24 yrs,44,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,14.588665962219238 +1985,53,0,internal,21-24 yrs,67,301604,22.53483009338379,1,0.08340328931808472,1.2200000286102295,0.5899999737739563,0.8700000047683716,2.680000066757202,22.21455955505371 +1986,53,0,MVA,15-17 yrs,75,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,36.90726852416992 +1986,53,0,suicide,15-17 yrs,25,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,12.302423477172852 +1986,53,0,homicide,15-17 yrs,10,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,4.920969009399414 +1986,53,0,other external,15-17 yrs,12,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,5.905163288116455 +1986,53,0,internal,15-17 yrs,37,203212,15.99858283996582,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,18.20758628845215 +1986,53,0,all,18-20 yrs,219,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,112.74595642089844 +1986,53,0,MVA,18-20 yrs,91,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,46.848777770996094 +1986,53,0,suicide,18-20 yrs,35,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,18.018760681152344 +1986,53,0,homicide,18-20 yrs,17,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,8.751969337463379 +1986,53,0,other external,18-20 yrs,27,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,13.900186538696289 +1986,53,0,internal,18-20 yrs,49,194242,19.018661499023438,0,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,25.22626495361328 +1986,53,0,all,21-24 yrs,322,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,109.68572998046875 +1986,53,0,MVA,21-24 yrs,97,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,33.04197311401367 +1986,53,0,suicide,21-24 yrs,50,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,17.031944274902344 +1986,53,0,homicide,21-24 yrs,30,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,10.21916675567627 +1986,53,0,other external,21-24 yrs,57,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,19.416418075561523 +1986,53,0,internal,21-24 yrs,88,293566,22.54955291748047,1,0.0818813294172287,1.2300000190734863,0.6100000143051147,0.8199999928474426,2.6500000953674316,29.97622299194336 +1987,53,0,MVA,15-17 yrs,62,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,31.056678771972656 +1987,53,0,suicide,15-17 yrs,27,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,13.524682998657227 +1987,53,0,homicide,15-17 yrs,7,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,3.506399154663086 +1987,53,0,other external,15-17 yrs,24,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,12.021940231323242 +1987,53,0,internal,15-17 yrs,42,199635,16.041105270385742,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,21.038394927978516 +1987,53,0,all,18-20 yrs,212,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,107.38255310058594 +1987,53,0,MVA,18-20 yrs,86,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,43.56084442138672 +1987,53,0,suicide,18-20 yrs,29,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,14.689122200012207 +1987,53,0,homicide,18-20 yrs,24,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,12.156515121459961 +1987,53,0,other external,18-20 yrs,28,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,14.182600975036621 +1987,53,0,internal,18-20 yrs,45,197425,19.001893997192383,0,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,22.793466567993164 +1987,53,0,all,21-24 yrs,310,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,108.31132507324219 +1987,53,0,MVA,21-24 yrs,102,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,35.63792037963867 +1987,53,0,suicide,21-24 yrs,66,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,23.059829711914062 +1987,53,0,homicide,21-24 yrs,34,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,11.879305839538574 +1987,53,0,other external,21-24 yrs,47,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,16.42139434814453 +1987,53,0,internal,21-24 yrs,61,286212,22.569847106933594,1,0.07899818569421768,1.2300000190734863,0.5600000023841858,0.7900000214576721,2.5799999237060547,21.31287384033203 +1988,53,0,MVA,15-17 yrs,50,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,25.98847198486328 +1988,53,0,suicide,15-17 yrs,31,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,16.112852096557617 +1988,53,0,homicide,15-17 yrs,11,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,5.717463970184326 +1988,53,0,other external,15-17 yrs,16,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,8.31631088256836 +1988,53,0,internal,15-17 yrs,29,192393,16.065366744995117,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,15.07331371307373 +1988,53,0,all,18-20 yrs,217,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,105.88671875 +1988,53,0,MVA,18-20 yrs,95,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,46.355934143066406 +1988,53,0,suicide,18-20 yrs,40,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,19.51828956604004 +1988,53,0,homicide,18-20 yrs,17,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,8.2952728271484375 +1988,53,0,other external,18-20 yrs,21,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,10.247101783752441 +1988,53,0,internal,18-20 yrs,44,204936,18.99822425842285,0,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,21.470117568969727 +1988,53,0,all,21-24 yrs,284,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,101.1723861694336 +1988,53,0,MVA,21-24 yrs,94,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,33.486637115478516 +1988,53,0,suicide,21-24 yrs,47,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,16.743318557739258 +1988,53,0,homicide,21-24 yrs,27,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,9.618501663208008 +1988,53,0,other external,21-24 yrs,34,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,12.112187385559082 +1988,53,0,internal,21-24 yrs,82,280709,22.56346893310547,1,0.07585962116718292,1.2200000286102295,0.5,0.7699999809265137,2.490000009536743,29.211746215820312 +1989,53,0,MVA,15-17 yrs,44,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,23.816354751586914 +1989,53,0,suicide,15-17 yrs,22,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,11.908177375793457 +1989,53,0,homicide,15-17 yrs,10,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,5.412807941436768 +1989,53,0,other external,15-17 yrs,12,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,6.4953694343566895 +1989,53,0,internal,15-17 yrs,37,184747,16.030441284179688,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,20.027389526367188 +1989,53,0,all,18-20 yrs,214,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,101.40689849853516 +1989,53,0,MVA,18-20 yrs,92,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,43.595489501953125 +1989,53,0,suicide,18-20 yrs,36,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,17.059104919433594 +1989,53,0,homicide,18-20 yrs,21,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,9.951144218444824 +1989,53,0,other external,18-20 yrs,34,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,16.111377716064453 +1989,53,0,internal,18-20 yrs,31,211031,19.009363174438477,0,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,14.68978500366211 +1989,53,0,all,21-24 yrs,263,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,95.33268737792969 +1989,53,0,MVA,21-24 yrs,81,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,29.36101722717285 +1989,53,0,suicide,21-24 yrs,43,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,15.586712837219238 +1989,53,0,homicide,21-24 yrs,24,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,8.69956111907959 +1989,53,0,other external,21-24 yrs,45,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,16.311676025390625 +1989,53,0,internal,21-24 yrs,70,275876,22.537052154541016,1,0.12440167367458344,1.2400000095367432,0.4699999988079071,0.75,2.450000047683716,25.37371826171875 +1990,53,0,MVA,15-17 yrs,59,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,30.990324020385742 +1990,53,0,suicide,15-17 yrs,16,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,8.404155731201172 +1990,53,0,homicide,15-17 yrs,8,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,4.202077865600586 +1990,53,0,other external,15-17 yrs,27,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,14.182012557983398 +1990,53,0,internal,15-17 yrs,24,190382,15.985713005065918,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,12.606233596801758 +1990,53,0,all,18-20 yrs,190,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,90.36173248291016 +1990,53,0,MVA,18-20 yrs,77,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,36.62028121948242 +1990,53,0,suicide,18-20 yrs,42,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,19.974699020385742 +1990,53,0,homicide,18-20 yrs,13,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,6.182644844055176 +1990,53,0,other external,18-20 yrs,23,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,10.938525199890137 +1990,53,0,internal,18-20 yrs,35,210266,19.0481014251709,0,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,16.64558219909668 +1990,53,0,all,21-24 yrs,305,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,109.64872741699219 +1990,53,0,MVA,21-24 yrs,112,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,40.26445007324219 +1990,53,0,suicide,21-24 yrs,43,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,15.458673477172852 +1990,53,0,homicide,21-24 yrs,38,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,13.661152839660645 +1990,53,0,other external,21-24 yrs,40,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,14.38016128540039 +1990,53,0,internal,21-24 yrs,72,278161,22.50273323059082,1,0.118024542927742,1.2699999809265137,0.46000000834465027,0.7599999904632568,2.490000009536743,25.88429069519043 +1991,53,0,MVA,15-17 yrs,44,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,22.61350440979004 +1991,53,0,suicide,15-17 yrs,23,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,11.820695877075195 +1991,53,0,homicide,15-17 yrs,13,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,6.681262493133545 +1991,53,0,other external,15-17 yrs,22,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,11.30675220489502 +1991,53,0,internal,15-17 yrs,27,194574,15.98969554901123,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,13.876468658447266 +1991,53,0,all,18-20 yrs,201,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,98.06600189208984 +1991,53,0,MVA,18-20 yrs,73,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,35.61600875854492 +1991,53,0,suicide,18-20 yrs,32,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,15.612497329711914 +1991,53,0,homicide,18-20 yrs,25,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,12.197263717651367 +1991,53,0,other external,18-20 yrs,28,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,13.660935401916504 +1991,53,0,internal,18-20 yrs,43,204964,19.051198959350586,0,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,20.979293823242188 +1991,53,0,all,21-24 yrs,282,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,100.16979217529297 +1991,53,0,MVA,21-24 yrs,86,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,30.548234939575195 +1991,53,0,suicide,21-24 yrs,56,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,19.891874313354492 +1991,53,0,homicide,21-24 yrs,27,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,9.59072494506836 +1991,53,0,other external,21-24 yrs,42,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,14.918905258178711 +1991,53,0,internal,21-24 yrs,71,281522,22.48267936706543,1,0.113258495926857,1.2300000190734863,0.4300000071525574,0.7300000190734863,2.390000104904175,25.220054626464844 +1992,53,0,MVA,15-17 yrs,39,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,19.063913345336914 +1992,53,0,suicide,15-17 yrs,18,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,8.798728942871094 +1992,53,0,homicide,15-17 yrs,21,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,10.265183448791504 +1992,53,0,other external,15-17 yrs,16,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,7.82109260559082 +1992,53,0,internal,15-17 yrs,28,204575,15.984983444213867,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,13.686911582946777 +1992,53,0,all,18-20 yrs,159,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,78.78580474853516 +1992,53,0,MVA,18-20 yrs,50,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,24.77541160583496 +1992,53,0,suicide,18-20 yrs,24,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,11.892197608947754 +1992,53,0,homicide,18-20 yrs,30,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,14.865246772766113 +1992,53,0,other external,18-20 yrs,21,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,10.405673027038574 +1992,53,0,internal,18-20 yrs,34,201813,19.029760360717773,0,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,16.847278594970703 +1992,53,0,all,21-24 yrs,297,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,103.59947204589844 +1992,53,0,MVA,21-24 yrs,92,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,32.0914192199707 +1992,53,0,suicide,21-24 yrs,60,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,20.92918586730957 +1992,53,0,homicide,21-24 yrs,38,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,13.25515079498291 +1992,53,0,other external,21-24 yrs,41,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,14.301610946655273 +1992,53,0,internal,21-24 yrs,66,286681,22.482717514038086,1,0.10994873195886612,1.2599999904632568,0.46000000834465027,0.7200000286102295,2.440000057220459,23.022104263305664 +1993,53,0,MVA,15-17 yrs,56,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,26.495079040527344 +1993,53,0,suicide,15-17 yrs,14,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,6.623769760131836 +1993,53,0,homicide,15-17 yrs,28,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,13.247539520263672 +1993,53,0,other external,15-17 yrs,29,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,13.72066593170166 +1993,53,0,internal,15-17 yrs,27,211360,15.985607147216797,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,12.774413108825684 +1993,53,0,all,18-20 yrs,198,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,96.05821990966797 +1993,53,0,MVA,18-20 yrs,84,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,40.75197219848633 +1993,53,0,suicide,18-20 yrs,24,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,11.643420219421387 +1993,53,0,homicide,18-20 yrs,23,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,11.15827751159668 +1993,53,0,other external,18-20 yrs,31,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,15.03941822052002 +1993,53,0,internal,18-20 yrs,36,206125,19.007369995117188,0,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,17.465129852294922 +1993,53,0,all,21-24 yrs,289,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,100.50950622558594 +1993,53,0,MVA,21-24 yrs,83,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,28.866050720214844 +1993,53,0,suicide,21-24 yrs,48,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,16.693620681762695 +1993,53,0,homicide,21-24 yrs,36,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,12.520215034484863 +1993,53,0,other external,21-24 yrs,46,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,15.998052597045898 +1993,53,0,internal,21-24 yrs,76,287535,22.517332077026367,1,0.12813930213451385,1.190000057220459,0.38999998569488525,0.6899999976158142,2.2699999809265137,26.431564331054688 +1994,53,0,MVA,15-17 yrs,44,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,19.938552856445312 +1994,53,0,suicide,15-17 yrs,25,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,11.328722953796387 +1994,53,0,homicide,15-17 yrs,21,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.516127586364746 +1994,53,0,other external,15-17 yrs,22,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.969276428222656 +1994,53,0,internal,15-17 yrs,22,220678,15.992631912231445,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,9.969276428222656 +1994,53,0,all,18-20 yrs,168,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,79.69525909423828 +1994,53,0,MVA,18-20 yrs,47,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,22.295698165893555 +1994,53,0,suicide,18-20 yrs,34,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.128803253173828 +1994,53,0,homicide,18-20 yrs,34,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.128803253173828 +1994,53,0,other external,18-20 yrs,18,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,8.538778305053711 +1994,53,0,internal,18-20 yrs,35,210803,19.005863189697266,0,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.603179931640625 +1994,53,0,all,21-24 yrs,278,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,98.02642822265625 +1994,53,0,MVA,21-24 yrs,74,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,26.093364715576172 +1994,53,0,suicide,21-24 yrs,58,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,20.451557159423828 +1994,53,0,homicide,21-24 yrs,47,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,16.572813034057617 +1994,53,0,other external,21-24 yrs,44,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,15.514973640441895 +1994,53,0,internal,21-24 yrs,55,283597,22.541013717651367,1,0.12494014948606491,1.1799999475479126,0.38999998569488525,0.6499999761581421,2.2300000190734863,19.39371681213379 +1995,53,0,MVA,15-17 yrs,57,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,24.68708038330078 +1995,53,0,suicide,15-17 yrs,16,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,6.929706573486328 +1995,53,0,homicide,15-17 yrs,24,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,10.394559860229492 +1995,53,0,other external,15-17 yrs,18,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,7.795920372009277 +1995,53,0,internal,15-17 yrs,25,230890,15.978145599365234,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,10.827667236328125 +1995,53,0,all,18-20 yrs,173,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,78.45164489746094 +1995,53,0,MVA,18-20 yrs,51,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,23.127363204956055 +1995,53,0,suicide,18-20 yrs,32,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,14.511286735534668 +1995,53,0,homicide,18-20 yrs,21,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,9.523032188415527 +1995,53,0,other external,18-20 yrs,26,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,11.790420532226562 +1995,53,0,internal,18-20 yrs,43,220518,19.001800537109375,0,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,19.499542236328125 +1995,53,0,all,21-24 yrs,280,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,100.04180145263672 +1995,53,0,MVA,21-24 yrs,57,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,20.365652084350586 +1995,53,0,suicide,21-24 yrs,65,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,23.223989486694336 +1995,53,0,homicide,21-24 yrs,36,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,12.862517356872559 +1995,53,0,other external,21-24 yrs,43,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,15.36356258392334 +1995,53,0,internal,21-24 yrs,79,279883,22.530418395996094,1,0.15176531672477722,1.1399999856948853,0.4000000059604645,0.6299999952316284,2.1700000762939453,28.2260799407959 +1996,53,0,MVA,15-17 yrs,36,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.946131706237793 +1996,53,0,suicide,15-17 yrs,19,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,7.888236045837402 +1996,53,0,homicide,15-17 yrs,10,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,4.151703357696533 +1996,53,0,other external,15-17 yrs,22,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,9.133747100830078 +1996,53,0,internal,15-17 yrs,35,240865,15.988388061523438,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.530961036682129 +1996,53,0,all,18-20 yrs,177,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,77.87956237792969 +1996,53,0,MVA,18-20 yrs,69,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,30.359830856323242 +1996,53,0,suicide,18-20 yrs,32,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,14.079920768737793 +1996,53,0,homicide,18-20 yrs,27,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,11.87993335723877 +1996,53,0,other external,18-20 yrs,23,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,10.119943618774414 +1996,53,0,internal,18-20 yrs,26,227274,18.998828887939453,0,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,11.439935684204102 +1996,53,0,all,21-24 yrs,255,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,91.54024505615234 +1996,53,0,MVA,21-24 yrs,75,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,26.923601150512695 +1996,53,0,suicide,21-24 yrs,44,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,15.79517936706543 +1996,53,0,homicide,21-24 yrs,35,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,12.564347267150879 +1996,53,0,other external,21-24 yrs,45,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,16.15416145324707 +1996,53,0,internal,21-24 yrs,56,278566,22.48723030090332,1,0.14741258323192596,1.1299999952316284,0.4000000059604645,0.6299999952316284,2.1600000858306885,20.102956771850586 +1970,54,1,MVA,15-17 yrs,53,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,49.7302360534668 +1970,54,1,suicide,15-17 yrs,4,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,3.753225326538086 +1970,54,1,homicide,15-17 yrs,3,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,2.8149189949035645 +1970,54,1,other external,15-17 yrs,26,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,24.395965576171875 +1970,54,1,internal,15-17 yrs,30,106575,15.988974571228027,0,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,28.14919090270996 +1970,54,1,all,18-20 yrs,164,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,172.62612915039062 +1970,54,1,MVA,18-20 yrs,70,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,73.681884765625 +1970,54,1,suicide,18-20 yrs,4,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,4.21039342880249 +1970,54,1,homicide,18-20 yrs,4,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,4.21039342880249 +1970,54,1,other external,18-20 yrs,54,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,56.840309143066406 +1970,54,1,internal,18-20 yrs,32,95003,18.942001342773438,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,33.68314743041992 +1970,54,1,all,21-24 yrs,187,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,187.72462463378906 +1970,54,1,MVA,21-24 yrs,76,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,76.29449462890625 +1970,54,1,suicide,21-24 yrs,6,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,6.023249626159668 +1970,54,1,homicide,21-24 yrs,6,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,6.023249626159668 +1970,54,1,other external,21-24 yrs,51,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,51.19762420654297 +1970,54,1,internal,21-24 yrs,48,99614,22.378189086914062,1,0.45726636052131653,0.8700000047683716,0.09000000357627869,0.6899999976158142,1.6399999856948853,48.185997009277344 +1971,54,1,MVA,15-17 yrs,39,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,36.440425872802734 +1971,54,1,suicide,15-17 yrs,4,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,3.7374794483184814 +1971,54,1,homicide,15-17 yrs,3,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,2.803109645843506 +1971,54,1,other external,15-17 yrs,35,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.702945709228516 +1971,54,1,internal,15-17 yrs,21,107024,15.995524406433105,0,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,19.621767044067383 +1971,54,1,all,18-20 yrs,148,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,153.7007598876953 +1971,54,1,MVA,18-20 yrs,64,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,66.46519470214844 +1971,54,1,suicide,18-20 yrs,5,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,5.192593097686768 +1971,54,1,homicide,18-20 yrs,5,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,5.192593097686768 +1971,54,1,other external,18-20 yrs,31,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.19407653808594 +1971,54,1,internal,18-20 yrs,43,96291,18.976871490478516,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,44.65630340576172 +1971,54,1,all,21-24 yrs,188,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,160.1663055419922 +1971,54,1,MVA,21-24 yrs,75,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,63.8961296081543 +1971,54,1,suicide,21-24 yrs,10,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,8.519484519958496 +1971,54,1,homicide,21-24 yrs,9,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,7.667535781860352 +1971,54,1,other external,21-24 yrs,38,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,32.37403869628906 +1971,54,1,internal,21-24 yrs,56,117378,22.51968002319336,1,0.43807247281074524,0.8899999856948853,0.10000000149011612,0.75,1.7300000190734863,47.709110260009766 +1972,54,1,MVA,15-17 yrs,44,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,40.559349060058594 +1972,54,1,suicide,15-17 yrs,2,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,1.8436068296432495 +1972,54,1,homicide,15-17 yrs,2,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,1.8436068296432495 +1972,54,1,other external,15-17 yrs,38,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,35.02853012084961 +1972,54,1,internal,15-17 yrs,34,108483,15.987159729003906,0,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,31.34131622314453 +1972,54,1,all,18-20 yrs,134,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,137.92251586914062 +1972,54,1,MVA,18-20 yrs,62,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,63.81489562988281 +1972,54,1,suicide,18-20 yrs,6,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,6.175634860992432 +1972,54,1,homicide,18-20 yrs,6,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,6.175634860992432 +1972,54,1,other external,18-20 yrs,22,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,22.64399528503418 +1972,54,1,internal,18-20 yrs,38,97156,18.98186492919922,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,39.11235427856445 +1972,54,1,all,21-24 yrs,158,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,128.35614013671875 +1972,54,1,MVA,21-24 yrs,68,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,55.241886138916016 +1972,54,1,suicide,21-24 yrs,6,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,4.874284267425537 +1972,54,1,homicide,21-24 yrs,10,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,8.123806953430176 +1972,54,1,other external,21-24 yrs,42,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,34.11998748779297 +1972,54,1,internal,21-24 yrs,32,123095,22.50128746032715,1,0.4244482219219208,0.8799999952316284,0.10000000149011612,0.7300000190734863,1.7100000381469727,25.99618148803711 +1973,54,1,MVA,15-17 yrs,45,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,41.45784378051758 +1973,54,1,suicide,15-17 yrs,6,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,5.527712345123291 +1973,54,1,homicide,15-17 yrs,4,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,3.6851415634155273 +1973,54,1,other external,15-17 yrs,29,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,26.717275619506836 +1973,54,1,internal,15-17 yrs,22,108544,15.986964225769043,0,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,20.268278121948242 +1973,54,1,all,18-20 yrs,127,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,131.28921508789062 +1973,54,1,MVA,18-20 yrs,60,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,62.02640151977539 +1973,54,1,suicide,18-20 yrs,1,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,1.033773422241211 +1973,54,1,homicide,18-20 yrs,10,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,10.33773422241211 +1973,54,1,other external,18-20 yrs,31,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,32.046974182128906 +1973,54,1,internal,18-20 yrs,25,96733,18.969131469726562,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,25.84433364868164 +1973,54,1,all,21-24 yrs,160,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,127.26187896728516 +1973,54,1,MVA,21-24 yrs,60,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,47.72320556640625 +1973,54,1,suicide,21-24 yrs,19,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,15.112348556518555 +1973,54,1,homicide,21-24 yrs,8,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,6.363093852996826 +1973,54,1,other external,21-24 yrs,29,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,23.06621551513672 +1973,54,1,internal,21-24 yrs,44,125725,22.52132797241211,1,0.3995931148529053,0.9100000262260437,0.09000000357627869,0.75,1.7599999904632568,34.99701690673828 +1974,54,1,MVA,15-17 yrs,27,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,24.916942596435547 +1974,54,1,suicide,15-17 yrs,2,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,1.8456995487213135 +1974,54,1,homicide,15-17 yrs,1,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,0.9228497743606567 +1974,54,1,other external,15-17 yrs,28,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,25.839794158935547 +1974,54,1,internal,15-17 yrs,23,108360,16.001808166503906,0,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,21.225543975830078 +1974,54,1,all,18-20 yrs,135,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,137.83245849609375 +1974,54,1,MVA,18-20 yrs,71,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,72.48966217041016 +1974,54,1,suicide,18-20 yrs,10,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,10.209811210632324 +1974,54,1,homicide,18-20 yrs,8,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,8.16784954071045 +1974,54,1,other external,18-20 yrs,20,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,20.41962242126465 +1974,54,1,internal,18-20 yrs,26,97945,18.98246955871582,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,26.545509338378906 +1974,54,1,all,21-24 yrs,163,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,131.09744262695312 +1974,54,1,MVA,21-24 yrs,59,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,47.45244598388672 +1974,54,1,suicide,21-24 yrs,14,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,11.259902954101562 +1974,54,1,homicide,21-24 yrs,4,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,3.2171151638031006 +1974,54,1,other external,21-24 yrs,45,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,36.192543029785156 +1974,54,1,internal,21-24 yrs,41,124335,22.53142738342285,1,0.35987699031829834,0.9200000166893005,0.09000000357627869,0.7799999713897705,1.7899999618530273,32.97542953491211 +1975,54,1,MVA,15-17 yrs,42,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,39.066131591796875 +1975,54,1,suicide,15-17 yrs,6,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,5.580876350402832 +1975,54,1,homicide,15-17 yrs,2,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,1.8602920770645142 +1975,54,1,other external,15-17 yrs,24,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,22.323505401611328 +1975,54,1,internal,15-17 yrs,27,107510,16.00828742980957,0,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,25.113943099975586 +1975,54,1,all,18-20 yrs,138,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,136.80433654785156 +1975,54,1,MVA,18-20 yrs,58,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,57.49747085571289 +1975,54,1,suicide,18-20 yrs,7,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,6.939350128173828 +1975,54,1,homicide,18-20 yrs,10,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,9.91335678100586 +1975,54,1,other external,18-20 yrs,31,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,30.731407165527344 +1975,54,1,internal,18-20 yrs,32,100874,18.97734832763672,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,31.72274398803711 +1975,54,1,all,21-24 yrs,160,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,127.21736145019531 +1975,54,1,MVA,21-24 yrs,51,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,40.550533294677734 +1975,54,1,suicide,21-24 yrs,13,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,10.336410522460938 +1975,54,1,homicide,21-24 yrs,10,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,7.951085090637207 +1975,54,1,other external,21-24 yrs,47,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,37.37009811401367 +1975,54,1,internal,21-24 yrs,39,125769,22.52496337890625,1,0.32977575063705444,0.9300000071525574,0.10000000149011612,0.8199999928474426,1.850000023841858,31.009231567382812 +1976,54,1,MVA,15-17 yrs,33,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,30.819231033325195 +1976,54,1,suicide,15-17 yrs,4,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,3.7356643676757812 +1976,54,1,homicide,15-17 yrs,2,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,1.8678321838378906 +1976,54,1,other external,15-17 yrs,24,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,22.413986206054688 +1976,54,1,internal,15-17 yrs,22,107076,16.005352020263672,0,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,20.546154022216797 +1976,54,1,all,18-20 yrs,158,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,151.6591339111328 +1976,54,1,MVA,18-20 yrs,84,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,80.62890625 +1976,54,1,suicide,18-20 yrs,10,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,9.598679542541504 +1976,54,1,homicide,18-20 yrs,6,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,5.759207725524902 +1976,54,1,other external,18-20 yrs,33,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,31.675642013549805 +1976,54,1,internal,18-20 yrs,25,104181,18.980140686035156,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,23.9966983795166 +1976,54,1,all,21-24 yrs,175,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,136.5469970703125 +1976,54,1,MVA,21-24 yrs,80,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,62.421485900878906 +1976,54,1,suicide,21-24 yrs,10,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,7.802685737609863 +1976,54,1,homicide,21-24 yrs,11,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,8.582954406738281 +1976,54,1,other external,21-24 yrs,37,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,28.869937896728516 +1976,54,1,internal,21-24 yrs,37,128161,22.499855041503906,1,0.3118090331554413,0.9399999976158142,0.10000000149011612,0.8199999928474426,1.850000023841858,28.869937896728516 +1977,54,1,MVA,15-17 yrs,42,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,39.64545822143555 +1977,54,1,suicide,15-17 yrs,6,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,5.663636684417725 +1977,54,1,homicide,15-17 yrs,4,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,3.7757577896118164 +1977,54,1,other external,15-17 yrs,30,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,28.31818389892578 +1977,54,1,internal,15-17 yrs,22,105939,16.002803802490234,0,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,20.76666831970215 +1977,54,1,all,18-20 yrs,159,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,149.29437255859375 +1977,54,1,MVA,18-20 yrs,79,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,74.177703857421875 +1977,54,1,suicide,18-20 yrs,10,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,9.389583587646484 +1977,54,1,homicide,18-20 yrs,7,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,6.5727081298828125 +1977,54,1,other external,18-20 yrs,35,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,32.86354064941406 +1977,54,1,internal,18-20 yrs,28,106501,18.999605178833008,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,26.29083251953125 +1977,54,1,all,21-24 yrs,187,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,143.76211547851562 +1977,54,1,MVA,21-24 yrs,80,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,61.502506256103516 +1977,54,1,suicide,21-24 yrs,17,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,13.069282531738281 +1977,54,1,homicide,21-24 yrs,13,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,9.994156837463379 +1977,54,1,other external,21-24 yrs,48,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,36.90150451660156 +1977,54,1,internal,21-24 yrs,29,130076,22.483125686645508,1,0.29277122020721436,0.9800000190734863,0.09000000357627869,0.7799999713897705,1.850000023841858,22.294658660888672 +1978,54,1,MVA,15-17 yrs,49,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,46.64756393432617 +1978,54,1,suicide,15-17 yrs,5,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,4.759955406188965 +1978,54,1,homicide,15-17 yrs,2,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,1.903982162475586 +1978,54,1,other external,15-17 yrs,17,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,16.183849334716797 +1978,54,1,internal,15-17 yrs,12,105043,16.001008987426758,0,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,11.423892974853516 +1978,54,1,all,18-20 yrs,152,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,144.0225830078125 +1978,54,1,MVA,18-20 yrs,63,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,59.693572998046875 +1978,54,1,suicide,18-20 yrs,11,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,10.422687530517578 +1978,54,1,homicide,18-20 yrs,7,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,6.632619380950928 +1978,54,1,other external,18-20 yrs,33,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,31.268062591552734 +1978,54,1,internal,18-20 yrs,38,105539,19.006813049316406,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,36.005645751953125 +1978,54,1,all,21-24 yrs,181,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,136.26644897460938 +1978,54,1,MVA,21-24 yrs,66,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,49.68832015991211 +1978,54,1,suicide,21-24 yrs,19,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,14.30421257019043 +1978,54,1,homicide,21-24 yrs,20,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,15.057065963745117 +1978,54,1,other external,21-24 yrs,43,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,32.3726921081543 +1978,54,1,internal,21-24 yrs,33,132828,22.476457595825195,1,0.2721155881881714,0.9599999785423279,0.09000000357627869,0.7900000214576721,1.840000033378601,24.844160079956055 +1979,54,1,MVA,15-17 yrs,41,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,39.22018814086914 +1979,54,1,suicide,15-17 yrs,7,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,6.69612979888916 +1979,54,1,homicide,15-17 yrs,7,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,6.69612979888916 +1979,54,1,other external,15-17 yrs,23,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,22.001569747924805 +1979,54,1,internal,15-17 yrs,13,104538,15.994863510131836,0,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,12.4356689453125 +1979,54,1,all,18-20 yrs,137,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,130.57318115234375 +1979,54,1,MVA,18-20 yrs,76,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,72.43476104736328 +1979,54,1,suicide,18-20 yrs,16,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,15.249423027038574 +1979,54,1,homicide,18-20 yrs,4,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,3.8123557567596436 +1979,54,1,other external,18-20 yrs,24,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,22.874135971069336 +1979,54,1,internal,18-20 yrs,17,104922,19.006061553955078,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,16.202512741088867 +1979,54,1,all,21-24 yrs,206,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,152.05645751953125 +1979,54,1,MVA,21-24 yrs,97,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,71.599395751953125 +1979,54,1,suicide,21-24 yrs,11,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,8.119519233703613 +1979,54,1,homicide,21-24 yrs,17,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,12.548348426818848 +1979,54,1,other external,21-24 yrs,44,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,32.47807693481445 +1979,54,1,internal,21-24 yrs,37,135476,22.475988388061523,1,0.24437926709651947,0.9700000286102295,0.09000000357627869,0.7699999809265137,1.8300000429153442,27.31110954284668 +1980,54,1,MVA,15-17 yrs,41,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,39.679466247558594 +1980,54,1,suicide,15-17 yrs,4,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,3.8711676597595215 +1980,54,1,homicide,15-17 yrs,5,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,4.838959217071533 +1980,54,1,other external,15-17 yrs,17,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.45246124267578 +1980,54,1,internal,15-17 yrs,17,103328,16.00403594970703,0,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.45246124267578 +1980,54,1,all,18-20 yrs,175,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,165.88150024414062 +1980,54,1,MVA,18-20 yrs,78,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,73.93575286865234 +1980,54,1,suicide,18-20 yrs,14,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,13.270519256591797 +1980,54,1,homicide,18-20 yrs,19,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,18.009990692138672 +1980,54,1,other external,18-20 yrs,35,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,33.176300048828125 +1980,54,1,internal,18-20 yrs,29,105497,19.009214401245117,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,27.488933563232422 +1980,54,1,all,21-24 yrs,191,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,138.95254516601562 +1980,54,1,MVA,21-24 yrs,82,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,59.6550178527832 +1980,54,1,suicide,21-24 yrs,23,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,16.732505798339844 +1980,54,1,homicide,21-24 yrs,14,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,10.185003280639648 +1980,54,1,other external,21-24 yrs,41,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,29.8275089263916 +1980,54,1,internal,21-24 yrs,31,137457,22.477275848388672,1,0.21531474590301514,1,0.09000000357627869,0.7200000286102295,1.8200000524520874,22.552507400512695 +1981,54,1,MVA,15-17 yrs,36,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,35.876583099365234 +1981,54,1,suicide,15-17 yrs,4,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,3.9862871170043945 +1981,54,1,homicide,15-17 yrs,4,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,3.9862871170043945 +1981,54,1,other external,15-17 yrs,14,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,13.952005386352539 +1981,54,1,internal,15-17 yrs,22,100344,16.02621078491211,0,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,21.924579620361328 +1981,54,1,all,18-20 yrs,128,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,123.3913345336914 +1981,54,1,MVA,18-20 yrs,72,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,69.407623291015625 +1981,54,1,suicide,18-20 yrs,18,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,17.351905822753906 +1981,54,1,homicide,18-20 yrs,6,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,5.783968925476074 +1981,54,1,other external,18-20 yrs,18,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,17.351905822753906 +1981,54,1,internal,18-20 yrs,14,103735,19.01889419555664,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,13.495926856994629 +1981,54,1,all,21-24 yrs,184,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,134.2810821533203 +1981,54,1,MVA,21-24 yrs,68,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,49.62561798095703 +1981,54,1,suicide,21-24 yrs,22,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,16.055347442626953 +1981,54,1,homicide,21-24 yrs,16,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,11.676615715026855 +1981,54,1,other external,21-24 yrs,34,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,24.812808990478516 +1981,54,1,internal,21-24 yrs,44,137026,22.502904891967773,1,0.19518080353736877,1.059999942779541,0.14000000059604645,0.6600000262260437,1.850000023841858,32.110694885253906 +1982,54,1,MVA,15-17 yrs,34,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,35.25288772583008 +1982,54,1,suicide,15-17 yrs,6,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,6.221097946166992 +1982,54,1,homicide,15-17 yrs,8,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,8.29479694366455 +1982,54,1,other external,15-17 yrs,22,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,22.810691833496094 +1982,54,1,internal,15-17 yrs,10,96446,16.026729583740234,0,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,10.36849594116211 +1982,54,1,all,18-20 yrs,114,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,112.20582580566406 +1982,54,1,MVA,18-20 yrs,44,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,43.30751419067383 +1982,54,1,suicide,18-20 yrs,12,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,11.811140060424805 +1982,54,1,homicide,18-20 yrs,14,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,13.7796630859375 +1982,54,1,other external,18-20 yrs,22,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,21.653757095336914 +1982,54,1,internal,18-20 yrs,22,101599,19.003347396850586,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,21.653757095336914 +1982,54,1,all,21-24 yrs,192,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,143.0242156982422 +1982,54,1,MVA,21-24 yrs,86,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,64.06292724609375 +1982,54,1,suicide,21-24 yrs,20,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,14.898356437683105 +1982,54,1,homicide,21-24 yrs,10,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,7.449178218841553 +1982,54,1,other external,21-24 yrs,42,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,31.28654670715332 +1982,54,1,internal,21-24 yrs,34,134243,22.502275466918945,1,0.18385425209999084,1.1100000143051147,0.14000000059604645,0.550000011920929,1.7999999523162842,25.327205657958984 +1983,54,0.9580891132354736,MVA,15-17 yrs,28,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,29.964149475097656 +1983,54,0.9580891132354736,suicide,15-17 yrs,9,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,9.63133430480957 +1983,54,0.9580891132354736,homicide,15-17 yrs,2,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,2.140296459197998 +1983,54,0.9580891132354736,other external,15-17 yrs,4,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,4.280592918395996 +1983,54,0.9580891132354736,internal,15-17 yrs,12,93445,16.007619857788086,0,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,12.841778755187988 +1983,54,0.9580891132354736,all,18-20 yrs,121,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,121.08476257324219 +1983,54,0.9580891132354736,MVA,18-20 yrs,65,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,65.0455322265625 +1983,54,0.9580891132354736,suicide,18-20 yrs,10,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,10.007004737854004 +1983,54,0.9580891132354736,homicide,18-20 yrs,10,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,10.007004737854004 +1983,54,0.9580891132354736,other external,18-20 yrs,16,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,16.011207580566406 +1983,54,0.9580891132354736,internal,18-20 yrs,20,99930,19.000961303710938,0.9580891132354736,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,20.014009475708008 +1983,54,0.9580891132354736,all,21-24 yrs,136,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,104.6194076538086 +1983,54,0.9580891132354736,MVA,21-24 yrs,60,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,46.15562057495117 +1983,54,0.9580891132354736,suicide,21-24 yrs,23,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,17.6929874420166 +1983,54,0.9580891132354736,homicide,21-24 yrs,12,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,9.231123924255371 +1983,54,0.9580891132354736,other external,21-24 yrs,17,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,13.077425956726074 +1983,54,0.9580891132354736,internal,21-24 yrs,24,129995,22.504926681518555,1,0.17813187837600708,1.1299999952316284,0.12999999523162842,0.47999998927116394,1.7400000095367432,18.462247848510742 +1984,54,0.7218395471572876,MVA,15-17 yrs,30,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,32.412811279296875 +1984,54,0.7218395471572876,suicide,15-17 yrs,2,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,2.160853862762451 +1984,54,0.7218395471572876,homicide,15-17 yrs,1,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,1.0804269313812256 +1984,54,0.7218395471572876,other external,15-17 yrs,16,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,17.28683090209961 +1984,54,0.7218395471572876,internal,15-17 yrs,12,92556,15.992966651916504,0,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.965124130249023 +1984,54,0.7218395471572876,all,18-20 yrs,107,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,110.81307983398438 +1984,54,0.7218395471572876,MVA,18-20 yrs,56,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,57.995628356933594 +1984,54,0.7218395471572876,suicide,18-20 yrs,13,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,13.463271141052246 +1984,54,0.7218395471572876,homicide,18-20 yrs,5,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,5.178181171417236 +1984,54,0.7218395471572876,other external,18-20 yrs,15,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,15.534543991088867 +1984,54,0.7218395471572876,internal,18-20 yrs,18,96559,19.02041244506836,0.7218395471572876,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,18.64145278930664 +1984,54,0.7218395471572876,all,21-24 yrs,145,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,116.68799591064453 +1984,54,0.7218395471572876,MVA,21-24 yrs,60,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,48.28468704223633 +1984,54,0.7218395471572876,suicide,21-24 yrs,13,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,10.461682319641113 +1984,54,0.7218395471572876,homicide,21-24 yrs,16,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.875916481018066 +1984,54,0.7218395471572876,other external,21-24 yrs,15,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,12.071171760559082 +1984,54,0.7218395471572876,internal,21-24 yrs,41,124263,22.506458282470703,1,0.17075972259044647,1.1200000047683716,0.11999999731779099,0.4399999976158142,1.6799999475479126,32.994537353515625 +1985,54,0.6774379014968872,MVA,15-17 yrs,32,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,34.680076599121094 +1985,54,0.6774379014968872,suicide,15-17 yrs,2,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,2.1675047874450684 +1985,54,0.6774379014968872,homicide,15-17 yrs,2,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,2.1675047874450684 +1985,54,0.6774379014968872,other external,15-17 yrs,19,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,20.59129524230957 +1985,54,0.6774379014968872,internal,15-17 yrs,11,92272,15.988859176635742,0,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,11.921276092529297 +1985,54,0.6774379014968872,all,18-20 yrs,107,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,115.94768524169922 +1985,54,0.6774379014968872,MVA,18-20 yrs,49,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,53.097537994384766 +1985,54,0.6774379014968872,suicide,18-20 yrs,14,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,15.170724868774414 +1985,54,0.6774379014968872,homicide,18-20 yrs,9,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,9.7526092529296875 +1985,54,0.6774379014968872,other external,18-20 yrs,13,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,14.087101936340332 +1985,54,0.6774379014968872,internal,18-20 yrs,22,92283,19.018129348754883,0.6774379014968872,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,23.839710235595703 +1985,54,0.6774379014968872,all,21-24 yrs,131,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,109.50521850585938 +1985,54,0.6774379014968872,MVA,21-24 yrs,54,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,45.139556884765625 +1985,54,0.6774379014968872,suicide,21-24 yrs,21,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,17.554271697998047 +1985,54,0.6774379014968872,homicide,21-24 yrs,8,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,6.687341690063477 +1985,54,0.6774379014968872,other external,21-24 yrs,18,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,15.04651927947998 +1985,54,0.6774379014968872,internal,21-24 yrs,30,119629,22.501399993896484,1,0.16488787531852722,1.1100000143051147,0.12999999523162842,0.41999998688697815,1.659999966621399,25.077531814575195 +1986,54,0.6252062320709229,MVA,15-17 yrs,44,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,47.135955810546875 +1986,54,0.6252062320709229,suicide,15-17 yrs,7,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,7.498901844024658 +1986,54,0.6252062320709229,homicide,15-17 yrs,2,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,2.142543315887451 +1986,54,0.6252062320709229,other external,15-17 yrs,19,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,20.354162216186523 +1986,54,0.6252062320709229,internal,15-17 yrs,11,93347,15.981402397155762,0,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,11.783988952636719 +1986,54,0.6252062320709229,all,18-20 yrs,118,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,133.51588439941406 +1986,54,0.6252062320709229,MVA,18-20 yrs,59,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,66.75794219970703 +1986,54,0.6252062320709229,suicide,18-20 yrs,14,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,15.840867042541504 +1986,54,0.6252062320709229,homicide,18-20 yrs,6,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,6.788943290710449 +1986,54,0.6252062320709229,other external,18-20 yrs,16,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,18.10384750366211 +1986,54,0.6252062320709229,internal,18-20 yrs,23,88379,18.997217178344727,0.6252062320709229,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,26.024282455444336 +1986,54,0.6252062320709229,all,21-24 yrs,129,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,113.3328628540039 +1986,54,0.6252062320709229,MVA,21-24 yrs,59,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,51.83441162109375 +1986,54,0.6252062320709229,suicide,21-24 yrs,17,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,14.935338973999023 +1986,54,0.6252062320709229,homicide,21-24 yrs,19,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,16.69243812561035 +1986,54,0.6252062320709229,other external,21-24 yrs,15,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,13.178239822387695 +1986,54,0.6252062320709229,internal,21-24 yrs,19,113824,22.48822784423828,1,0.16187897324562073,1.100000023841858,0.12999999523162842,0.4099999964237213,1.6399999856948853,16.69243812561035 +1987,54,0.3217933177947998,MVA,15-17 yrs,47,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,50.976139068603516 +1987,54,0.3217933177947998,suicide,15-17 yrs,4,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,4.338394641876221 +1987,54,0.3217933177947998,homicide,15-17 yrs,3,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,3.253796100616455 +1987,54,0.3217933177947998,other external,15-17 yrs,17,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,18.43817710876465 +1987,54,0.3217933177947998,internal,15-17 yrs,8,92200,16.0002384185791,0,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,8.676789283752441 +1987,54,0.3217933177947998,all,18-20 yrs,96,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,110.1334228515625 +1987,54,0.3217933177947998,MVA,18-20 yrs,59,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,67.68616485595703 +1987,54,0.3217933177947998,suicide,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,homicide,18-20 yrs,4,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,4.588892459869385 +1987,54,0.3217933177947998,other external,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,internal,18-20 yrs,11,87167,18.981369018554688,0.3217933177947998,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.619454383850098 +1987,54,0.3217933177947998,all,21-24 yrs,140,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,130.28831481933594 +1987,54,0.3217933177947998,MVA,21-24 yrs,60,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,55.83784866333008 +1987,54,0.3217933177947998,suicide,21-24 yrs,12,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,11.167569160461426 +1987,54,0.3217933177947998,homicide,21-24 yrs,13,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,12.098199844360352 +1987,54,0.3217933177947998,other external,21-24 yrs,21,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,19.54324722290039 +1987,54,0.3217933177947998,internal,21-24 yrs,34,107454,22.498193740844727,1,0.1561790108680725,1.1100000143051147,0.12999999523162842,0.4099999964237213,1.6399999856948853,31.641447067260742 +1988,54,0.03902164474129677,MVA,15-17 yrs,44,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,49.221405029296875 +1988,54,0.03902164474129677,suicide,15-17 yrs,9,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,10.068015098571777 +1988,54,0.03902164474129677,homicide,15-17 yrs,5,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.593341827392578 +1988,54,0.03902164474129677,other external,15-17 yrs,5,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.593341827392578 +1988,54,0.03902164474129677,internal,15-17 yrs,13,89392,16.027183532714844,0,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,14.542688369750977 +1988,54,0.03902164474129677,all,18-20 yrs,93,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,107.26519775390625 +1988,54,0.03902164474129677,MVA,18-20 yrs,57,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,65.7431869506836 +1988,54,0.03902164474129677,suicide,18-20 yrs,5,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.766946315765381 +1988,54,0.03902164474129677,homicide,18-20 yrs,5,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,5.766946315765381 +1988,54,0.03902164474129677,other external,18-20 yrs,10,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,11.533892631530762 +1988,54,0.03902164474129677,internal,18-20 yrs,16,86701,18.976078033447266,0.03902164474129677,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,18.454227447509766 +1988,54,0.03902164474129677,all,21-24 yrs,124,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,122.11575317382812 +1988,54,0.03902164474129677,MVA,21-24 yrs,54,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,53.179439544677734 +1988,54,0.03902164474129677,suicide,21-24 yrs,16,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,15.756871223449707 +1988,54,0.03902164474129677,homicide,21-24 yrs,15,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,14.772067070007324 +1988,54,0.03902164474129677,other external,21-24 yrs,18,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,17.72648048400879 +1988,54,0.03902164474129677,internal,21-24 yrs,21,101543,22.505962371826172,1,0.14997409284114838,1.1200000047683716,0.11999999731779099,0.4000000059604645,1.6399999856948853,20.680892944335938 +1989,54,0,MVA,15-17 yrs,39,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,46.286956787109375 +1989,54,0,suicide,15-17 yrs,7,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,8.307914733886719 +1989,54,0,homicide,15-17 yrs,4,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,4.747380256652832 +1989,54,0,other external,15-17 yrs,12,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.24213981628418 +1989,54,0,internal,15-17 yrs,12,84257,16.02919578552246,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.24213981628418 +1989,54,0,all,18-20 yrs,112,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,127.78240203857422 +1989,54,0,MVA,18-20 yrs,62,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,70.73668670654297 +1989,54,0,suicide,18-20 yrs,12,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,13.690972328186035 +1989,54,0,homicide,18-20 yrs,8,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,9.127314567565918 +1989,54,0,other external,18-20 yrs,13,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,14.831886291503906 +1989,54,0,internal,18-20 yrs,17,87649,18.96893310546875,0,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,19.395544052124023 +1989,54,0,all,21-24 yrs,110,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,114.78779602050781 +1989,54,0,MVA,21-24 yrs,51,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,53.21979904174805 +1989,54,0,suicide,21-24 yrs,13,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,13.565831184387207 +1989,54,0,homicide,21-24 yrs,11,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,11.478779792785645 +1989,54,0,other external,21-24 yrs,17,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,17.739933013916016 +1989,54,0,internal,21-24 yrs,18,95829,22.488046646118164,1,0.14308011531829834,1.1200000047683716,0.10999999940395355,0.3799999952316284,1.600000023841858,18.783458709716797 +1990,54,0,MVA,15-17 yrs,31,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,38.17498779296875 +1990,54,0,suicide,15-17 yrs,8,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,9.85161018371582 +1990,54,0,homicide,15-17 yrs,3,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,3.6943538188934326 +1990,54,0,other external,15-17 yrs,3,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,3.6943538188934326 +1990,54,0,internal,15-17 yrs,13,81205,16.014999389648438,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,16.008867263793945 +1990,54,0,all,18-20 yrs,101,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,114.24047088623047 +1990,54,0,MVA,18-20 yrs,53,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,59.94797134399414 +1990,54,0,suicide,18-20 yrs,15,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,16.966405868530273 +1990,54,0,homicide,18-20 yrs,8,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,9.048749923706055 +1990,54,0,other external,18-20 yrs,5,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,5.655468940734863 +1990,54,0,internal,18-20 yrs,20,88410,18.993688583374023,0,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,22.621875762939453 +1990,54,0,all,21-24 yrs,112,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,119.38134765625 +1990,54,0,MVA,21-24 yrs,46,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,49.03162384033203 +1990,54,0,suicide,21-24 yrs,15,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,15.98857307434082 +1990,54,0,homicide,21-24 yrs,10,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,10.659049034118652 +1990,54,0,other external,21-24 yrs,18,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,19.186288833618164 +1990,54,0,internal,21-24 yrs,23,93817,22.447797775268555,1,0.13574549555778503,1.2000000476837158,0.10000000149011612,0.41999998688697815,1.7200000286102295,24.515811920166016 +1991,54,0,MVA,15-17 yrs,30,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,37.086029052734375 +1991,54,0,suicide,15-17 yrs,9,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,11.125807762145996 +1991,54,0,homicide,15-17 yrs,2,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,2.4724018573760986 +1991,54,0,other external,15-17 yrs,13,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,16.07061195373535 +1991,54,0,internal,15-17 yrs,14,80893,16.016725540161133,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.306812286376953 +1991,54,0,all,18-20 yrs,108,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,122.89485931396484 +1991,54,0,MVA,18-20 yrs,48,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,54.619937896728516 +1991,54,0,suicide,18-20 yrs,14,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.930814743041992 +1991,54,0,homicide,18-20 yrs,11,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,12.517068862915039 +1991,54,0,other external,18-20 yrs,15,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.068729400634766 +1991,54,0,internal,18-20 yrs,20,87880,19.035127639770508,0,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,22.7583065032959 +1991,54,0,all,21-24 yrs,125,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,127.93090057373047 +1991,54,0,MVA,21-24 yrs,54,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,55.26614761352539 +1991,54,0,suicide,21-24 yrs,15,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.351707458496094 +1991,54,0,homicide,21-24 yrs,15,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,15.351707458496094 +1991,54,0,other external,21-24 yrs,17,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,17.398601531982422 +1991,54,0,internal,21-24 yrs,24,97709,22.418344497680664,1,0.13026383519172668,1.1799999475479126,0.09000000357627869,0.4300000071525574,1.7000000476837158,24.562732696533203 +1992,54,0,MVA,15-17 yrs,20,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,24.258596420288086 +1992,54,0,suicide,15-17 yrs,4,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,4.851719379425049 +1992,54,0,homicide,15-17 yrs,3,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,3.638789415359497 +1992,54,0,other external,15-17 yrs,14,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.98101806640625 +1992,54,0,internal,15-17 yrs,15,82445,16.009763717651367,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,18.193946838378906 +1992,54,0,all,18-20 yrs,93,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,109.59614562988281 +1992,54,0,MVA,18-20 yrs,47,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,55.387298583984375 +1992,54,0,suicide,18-20 yrs,14,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.49834442138672 +1992,54,0,homicide,18-20 yrs,8,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,9.42762565612793 +1992,54,0,other external,18-20 yrs,13,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,15.319890975952148 +1992,54,0,internal,18-20 yrs,11,84857,19.031558990478516,0,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,12.962985038757324 +1992,54,0,all,21-24 yrs,116,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,112.2269287109375 +1992,54,0,MVA,21-24 yrs,46,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,44.5037841796875 +1992,54,0,suicide,21-24 yrs,23,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,22.25189208984375 +1992,54,0,homicide,21-24 yrs,11,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,10.64220905303955 +1992,54,0,other external,21-24 yrs,19,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,18.38199806213379 +1992,54,0,internal,21-24 yrs,17,103362,22.39674186706543,1,0.1264571249485016,1.159999966621399,0.09000000357627869,0.4099999964237213,1.659999966621399,16.447050094604492 +1993,54,0,MVA,15-17 yrs,20,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,23.986568450927734 +1993,54,0,suicide,15-17 yrs,10,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,11.993284225463867 +1993,54,0,homicide,15-17 yrs,7,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,8.395298957824707 +1993,54,0,other external,15-17 yrs,6,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,7.195970058441162 +1993,54,0,internal,15-17 yrs,9,83380,16.002349853515625,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,10.79395580291748 +1993,54,0,all,18-20 yrs,91,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,108.86599731445312 +1993,54,0,MVA,18-20 yrs,53,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,63.40547180175781 +1993,54,0,suicide,18-20 yrs,14,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,16.748615264892578 +1993,54,0,homicide,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,other external,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,internal,18-20 yrs,8,83589,19.00319480895996,0,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,9.570637702941895 +1993,54,0,all,21-24 yrs,116,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,107.94010925292969 +1993,54,0,MVA,21-24 yrs,42,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,39.081764221191406 +1993,54,0,suicide,21-24 yrs,25,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,23.262954711914062 +1993,54,0,homicide,21-24 yrs,13,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,12.096736907958984 +1993,54,0,other external,21-24 yrs,14,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,13.027255058288574 +1993,54,0,internal,21-24 yrs,22,107467,22.43036460876465,1,0.12278155982494354,1.1799999475479126,0.07999999821186066,0.4000000059604645,1.6699999570846558,20.47140121459961 +1994,54,0,MVA,15-17 yrs,25,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,29.605770111083984 +1994,54,0,suicide,15-17 yrs,7,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,8.289615631103516 +1994,54,0,homicide,15-17 yrs,5,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,5.921154022216797 +1994,54,0,other external,15-17 yrs,6,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,7.105384826660156 +1994,54,0,internal,15-17 yrs,14,84443,16.01774024963379,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,16.57923126220703 +1994,54,0,all,18-20 yrs,84,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,101.16703033447266 +1994,54,0,MVA,18-20 yrs,29,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,34.92671585083008 +1994,54,0,suicide,18-20 yrs,11,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,13.248064041137695 +1994,54,0,homicide,18-20 yrs,13,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,15.656803131103516 +1994,54,0,other external,18-20 yrs,14,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,16.86117172241211 +1994,54,0,internal,18-20 yrs,17,83031,19.003854751586914,0,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,20.474281311035156 +1994,54,0,all,21-24 yrs,97,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,89.77906799316406 +1994,54,0,MVA,21-24 yrs,39,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,36.09674072265625 +1994,54,0,suicide,21-24 yrs,16,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,14.808918952941895 +1994,54,0,homicide,21-24 yrs,7,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,6.4789018630981445 +1994,54,0,other external,21-24 yrs,15,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,13.883360862731934 +1994,54,0,internal,21-24 yrs,20,108043,22.490129470825195,1,0.11971615999937057,1.1699999570846558,0.07999999821186066,0.38999998569488525,1.6399999856948853,18.51114845275879 +1995,54,0,MVA,15-17 yrs,16,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,18.8204288482666 +1995,54,0,suicide,15-17 yrs,5,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,5.881384372711182 +1995,54,0,homicide,15-17 yrs,5,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,5.881384372711182 +1995,54,0,other external,15-17 yrs,12,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,14.11532211303711 +1995,54,0,internal,15-17 yrs,8,85014,16.005952835083008,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,9.4102144241333 +1995,54,0,all,18-20 yrs,87,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,103.9103775024414 +1995,54,0,MVA,18-20 yrs,36,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,42.99739456176758 +1995,54,0,suicide,18-20 yrs,13,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,15.526837348937988 +1995,54,0,homicide,18-20 yrs,10,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,11.943720817565918 +1995,54,0,other external,18-20 yrs,7,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,8.360605239868164 +1995,54,0,internal,18-20 yrs,21,83726,18.997516632080078,0,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,25.08181381225586 +1995,54,0,all,21-24 yrs,111,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,105.01419067382812 +1995,54,0,MVA,21-24 yrs,52,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,49.195838928222656 +1995,54,0,suicide,21-24 yrs,18,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,17.029327392578125 +1995,54,0,homicide,21-24 yrs,7,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,6.622516632080078 +1995,54,0,other external,21-24 yrs,13,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,12.298959732055664 +1995,54,0,internal,21-24 yrs,21,105700,22.523168563842773,1,0.11641690135002136,1.1399999856948853,0.09000000357627869,0.3799999952316284,1.6100000143051147,19.867549896240234 +1996,54,0,MVA,15-17 yrs,19,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,22.689817428588867 +1996,54,0,suicide,15-17 yrs,9,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,10.747808456420898 +1996,54,0,homicide,15-17 yrs,1,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,1.1942009925842285 +1996,54,0,other external,15-17 yrs,12,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,14.330411911010742 +1996,54,0,internal,15-17 yrs,18,83738,16.019954681396484,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,21.495616912841797 +1996,54,0,all,18-20 yrs,90,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,107.41779327392578 +1996,54,0,MVA,18-20 yrs,40,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,47.741241455078125 +1996,54,0,suicide,18-20 yrs,12,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,14.322372436523438 +1996,54,0,homicide,18-20 yrs,7,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,8.354717254638672 +1996,54,0,other external,18-20 yrs,8,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,9.548248291015625 +1996,54,0,internal,18-20 yrs,23,83785,18.99184799194336,0,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,27.451213836669922 +1996,54,0,all,21-24 yrs,92,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,89.72895812988281 +1996,54,0,MVA,21-24 yrs,35,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,34.136016845703125 +1996,54,0,suicide,21-24 yrs,21,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,20.481611251831055 +1996,54,0,homicide,21-24 yrs,9,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,8.777832984924316 +1996,54,0,other external,21-24 yrs,13,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,12.679092407226562 +1996,54,0,internal,21-24 yrs,14,102531,22.494884490966797,1,0.11307798326015472,1.1399999856948853,0.10000000149011612,0.3700000047683716,1.6100000143051147,13.654406547546387 +1970,55,1,MVA,15-17 yrs,95,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,35.67967987060547 +1970,55,1,suicide,15-17 yrs,12,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,4.506906986236572 +1970,55,1,homicide,15-17 yrs,4,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,1.5023022890090942 +1970,55,1,other external,15-17 yrs,46,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,17.27647590637207 +1970,55,1,internal,15-17 yrs,46,266258,15.980616569519043,0,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,17.27647590637207 +1970,55,1,all,18-20 yrs,318,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,131.8468017578125 +1970,55,1,MVA,18-20 yrs,167,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,69.24030303955078 +1970,55,1,suicide,18-20 yrs,18,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,7.463027000427246 +1970,55,1,homicide,18-20 yrs,12,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,4.975351333618164 +1970,55,1,other external,18-20 yrs,60,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,24.87675666809082 +1970,55,1,internal,18-20 yrs,61,241189,18.94263458251953,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,25.29136848449707 +1970,55,1,all,21-24 yrs,309,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,117.38337707519531 +1970,55,1,MVA,21-24 yrs,143,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,54.32305145263672 +1970,55,1,suicide,21-24 yrs,26,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,9.87691879272461 +1970,55,1,homicide,21-24 yrs,9,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,3.418933391571045 +1970,55,1,other external,21-24 yrs,55,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,20.89348030090332 +1970,55,1,internal,21-24 yrs,76,263240,22.418739318847656,1,0.1675257682800293,1.7100000381469727,0.2199999988079071,1.25,3.180000066757202,28.87099266052246 +1971,55,1,MVA,15-17 yrs,105,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,38.85478210449219 +1971,55,1,suicide,15-17 yrs,9,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,3.3304100036621094 +1971,55,1,homicide,15-17 yrs,8,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,2.96036434173584 +1971,55,1,other external,15-17 yrs,34,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,12.581548690795898 +1971,55,1,internal,15-17 yrs,54,270237,15.986823081970215,0,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,19.982460021972656 +1971,55,1,all,18-20 yrs,300,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,119.47716522216797 +1971,55,1,MVA,18-20 yrs,156,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,62.12812805175781 +1971,55,1,suicide,18-20 yrs,20,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,7.965144634246826 +1971,55,1,homicide,18-20 yrs,8,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,3.1860578060150146 +1971,55,1,other external,18-20 yrs,44,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,17.523317337036133 +1971,55,1,internal,18-20 yrs,72,251094,18.97623634338379,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,28.67452049255371 +1971,55,1,all,21-24 yrs,329,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,112.7052001953125 +1971,55,1,MVA,21-24 yrs,147,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,50.357643127441406 +1971,55,1,suicide,21-24 yrs,39,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,13.360190391540527 +1971,55,1,homicide,21-24 yrs,16,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,5.481103897094727 +1971,55,1,other external,21-24 yrs,49,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,16.78588104248047 +1971,55,1,internal,21-24 yrs,78,291912,22.530235290527344,1,0.16049382090568542,1.7400000095367432,0.25,1.2599999904632568,3.25,26.720380783081055 +1972,55,1,MVA,15-17 yrs,122,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,44.198734283447266 +1972,55,1,suicide,15-17 yrs,12,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,4.347416400909424 +1972,55,1,homicide,15-17 yrs,8,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,2.898277759552002 +1972,55,1,other external,15-17 yrs,42,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,15.215957641601562 +1972,55,1,internal,15-17 yrs,62,276026,15.980451583862305,0,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,22.461652755737305 +1972,55,1,all,18-20 yrs,346,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,134.27142333984375 +1972,55,1,MVA,18-20 yrs,182,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,70.6283187866211 +1972,55,1,suicide,18-20 yrs,18,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,6.985218524932861 +1972,55,1,homicide,18-20 yrs,20,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,7.761353969573975 +1972,55,1,other external,18-20 yrs,50,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,19.403385162353516 +1972,55,1,internal,18-20 yrs,76,257687,18.98760986328125,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,29.493144989013672 +1972,55,1,all,21-24 yrs,368,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,123.17868041992188 +1972,55,1,MVA,21-24 yrs,128,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,42.844757080078125 +1972,55,1,suicide,21-24 yrs,44,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,14.727885246276855 +1972,55,1,homicide,21-24 yrs,22,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,7.363942623138428 +1972,55,1,other external,21-24 yrs,78,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,26.108524322509766 +1972,55,1,internal,21-24 yrs,96,298753,22.481672286987305,1,0.15550239384174347,1.7400000095367432,0.25999999046325684,1.2699999809265137,3.2699999809265137,32.133567810058594 +1973,55,1,MVA,15-17 yrs,109,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,38.86042785644531 +1973,55,1,suicide,15-17 yrs,6,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,2.139106035232544 +1973,55,1,homicide,15-17 yrs,7,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,2.495623826980591 +1973,55,1,other external,15-17 yrs,56,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,19.964990615844727 +1973,55,1,internal,15-17 yrs,59,280491,15.97945785522461,0,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,21.034542083740234 +1973,55,1,all,18-20 yrs,380,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,145.9153289794922 +1973,55,1,MVA,18-20 yrs,199,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,76.4135513305664 +1973,55,1,suicide,18-20 yrs,32,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,12.287607192993164 +1973,55,1,homicide,18-20 yrs,11,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,4.223865032196045 +1973,55,1,other external,18-20 yrs,56,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,21.503311157226562 +1973,55,1,internal,18-20 yrs,82,260425,18.98283576965332,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,31.48699188232422 +1973,55,1,all,21-24 yrs,356,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,115.7317123413086 +1973,55,1,MVA,21-24 yrs,136,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,44.21211242675781 +1973,55,1,suicide,21-24 yrs,52,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,16.904632568359375 +1973,55,1,homicide,21-24 yrs,23,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,7.477048873901367 +1973,55,1,other external,21-24 yrs,63,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,20.48061180114746 +1973,55,1,internal,21-24 yrs,82,307608,22.46959686279297,1,0.14639638364315033,1.7699999809265137,0.25999999046325684,1.4299999475479126,3.4600000381469727,26.657304763793945 +1974,55,1,MVA,15-17 yrs,99,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,34.71199417114258 +1974,55,1,suicide,15-17 yrs,12,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.207514762878418 +1974,55,1,homicide,15-17 yrs,13,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.558140754699707 +1974,55,1,other external,15-17 yrs,47,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,16.479433059692383 +1974,55,1,internal,15-17 yrs,65,285204,15.990312576293945,0,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,22.79070472717285 +1974,55,1,all,18-20 yrs,364,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,137.3631591796875 +1974,55,1,MVA,18-20 yrs,174,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,65.66260528564453 +1974,55,1,suicide,18-20 yrs,43,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,16.226966857910156 +1974,55,1,homicide,18-20 yrs,13,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,4.905827045440674 +1974,55,1,other external,18-20 yrs,58,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,21.887535095214844 +1974,55,1,internal,18-20 yrs,76,264991,18.991539001464844,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,28.680219650268555 +1974,55,1,all,21-24 yrs,359,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,114.2740707397461 +1974,55,1,MVA,21-24 yrs,135,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,42.972145080566406 +1974,55,1,suicide,21-24 yrs,43,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,13.687423706054688 +1974,55,1,homicide,21-24 yrs,23,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,7.32118034362793 +1974,55,1,other external,21-24 yrs,60,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,19.098730087280273 +1974,55,1,internal,21-24 yrs,98,314157,22.471378326416016,1,0.13184583187103271,1.7799999713897705,0.25999999046325684,1.340000033378601,3.380000114440918,31.19459342956543 +1975,55,1,MVA,15-17 yrs,100,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,34.790836334228516 +1975,55,1,suicide,15-17 yrs,22,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,7.653984069824219 +1975,55,1,homicide,15-17 yrs,5,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,1.7395418882369995 +1975,55,1,other external,15-17 yrs,63,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,21.918228149414062 +1975,55,1,internal,15-17 yrs,60,287432,15.994002342224121,0,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,20.874502182006836 +1975,55,1,all,18-20 yrs,308,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,113.52034759521484 +1975,55,1,MVA,18-20 yrs,161,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,59.34018325805664 +1975,55,1,suicide,18-20 yrs,30,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,11.05717658996582 +1975,55,1,homicide,18-20 yrs,14,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,5.16001558303833 +1975,55,1,other external,18-20 yrs,42,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,15.480047225952148 +1975,55,1,internal,18-20 yrs,61,271317,18.985315322875977,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,22.482925415039062 +1975,55,1,all,21-24 yrs,358,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,110.61878204345703 +1975,55,1,MVA,21-24 yrs,123,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,38.00589370727539 +1975,55,1,suicide,21-24 yrs,61,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,18.848451614379883 +1975,55,1,homicide,21-24 yrs,27,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,8.342757225036621 +1975,55,1,other external,21-24 yrs,58,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,17.921478271484375 +1975,55,1,internal,21-24 yrs,89,323634,22.481929779052734,1,0.12081784009933472,1.8700000047683716,0.25999999046325684,1.309999942779541,3.440000057220459,27.500200271606445 +1976,55,1,MVA,15-17 yrs,91,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,31.36989974975586 +1976,55,1,suicide,15-17 yrs,23,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,7.928656101226807 +1976,55,1,homicide,15-17 yrs,12,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,4.136690139770508 +1976,55,1,other external,15-17 yrs,38,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,13.099518775939941 +1976,55,1,internal,15-17 yrs,43,290087,15.986869812011719,0,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,14.823139190673828 +1976,55,1,all,18-20 yrs,349,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,126.60523986816406 +1976,55,1,MVA,18-20 yrs,182,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,66.02336120605469 +1976,55,1,suicide,18-20 yrs,31,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,11.245737075805664 +1976,55,1,homicide,18-20 yrs,13,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,4.715954303741455 +1976,55,1,other external,18-20 yrs,70,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,25.393600463867188 +1976,55,1,internal,18-20 yrs,53,275660,18.98381996154785,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,19.22658348083496 +1976,55,1,all,21-24 yrs,361,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,109.70777130126953 +1976,55,1,MVA,21-24 yrs,122,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,37.07575607299805 +1976,55,1,suicide,21-24 yrs,62,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,18.841777801513672 +1976,55,1,homicide,21-24 yrs,18,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,5.470193386077881 +1976,55,1,other external,21-24 yrs,76,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,23.096372604370117 +1976,55,1,internal,21-24 yrs,83,329056,22.480770111083984,1,0.11423549056053162,1.7999999523162842,0.27000001072883606,1.309999942779541,3.380000114440918,25.223670959472656 +1977,55,1,MVA,15-17 yrs,96,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,33.105960845947266 +1977,55,1,suicide,15-17 yrs,23,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,7.931636333465576 +1977,55,1,homicide,15-17 yrs,7,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,2.4139761924743652 +1977,55,1,other external,15-17 yrs,34,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,11.725027084350586 +1977,55,1,internal,15-17 yrs,41,289978,15.998096466064453,0,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,14.13900375366211 +1977,55,1,all,18-20 yrs,353,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,125.60713195800781 +1977,55,1,MVA,18-20 yrs,181,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,64.40479278564453 +1977,55,1,suicide,18-20 yrs,45,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,16.01224136352539 +1977,55,1,homicide,18-20 yrs,11,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,3.9141032695770264 +1977,55,1,other external,18-20 yrs,62,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,22.061309814453125 +1977,55,1,internal,18-20 yrs,54,281035,18.99554443359375,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,19.214689254760742 +1977,55,1,all,21-24 yrs,313,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,93.8848876953125 +1977,55,1,MVA,21-24 yrs,112,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,33.5945930480957 +1977,55,1,suicide,21-24 yrs,67,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,20.096763610839844 +1977,55,1,homicide,21-24 yrs,17,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,5.099179267883301 +1977,55,1,other external,21-24 yrs,51,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,15.297536849975586 +1977,55,1,internal,21-24 yrs,66,333387,22.478275299072266,1,0.10726072639226913,1.7799999713897705,0.27000001072883606,1.2599999904632568,3.309999942779541,19.796812057495117 +1978,55,1,MVA,15-17 yrs,111,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,38.70481872558594 +1978,55,1,suicide,15-17 yrs,20,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,6.973841190338135 +1978,55,1,homicide,15-17 yrs,7,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,2.4408442974090576 +1978,55,1,other external,15-17 yrs,39,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,13.598990440368652 +1978,55,1,internal,15-17 yrs,42,286786,16.01731300354004,0,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,14.645066261291504 +1978,55,1,all,18-20 yrs,340,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,120.39063262939453 +1978,55,1,MVA,18-20 yrs,153,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,54.175785064697266 +1978,55,1,suicide,18-20 yrs,53,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,18.766775131225586 +1978,55,1,homicide,18-20 yrs,10,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,3.540900945663452 +1978,55,1,other external,18-20 yrs,70,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,24.786306381225586 +1978,55,1,internal,18-20 yrs,54,282414,18.998605728149414,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,19.120864868164062 +1978,55,1,all,21-24 yrs,378,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,111.05332946777344 +1978,55,1,MVA,21-24 yrs,152,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,44.65636444091797 +1978,55,1,suicide,21-24 yrs,62,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,18.215097427368164 +1978,55,1,homicide,21-24 yrs,19,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,5.582045555114746 +1978,55,1,other external,21-24 yrs,57,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,16.746137619018555 +1978,55,1,internal,21-24 yrs,88,340377,22.472951889038086,1,0.09969325363636017,1.7999999523162842,0.2800000011920929,1.1799999475479126,3.25,25.85368537902832 +1979,55,1,MVA,15-17 yrs,88,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,31.439350128173828 +1979,55,1,suicide,15-17 yrs,23,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,8.217103004455566 +1979,55,1,homicide,15-17 yrs,5,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,1.7863267660140991 +1979,55,1,other external,15-17 yrs,43,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,15.362409591674805 +1979,55,1,internal,15-17 yrs,37,279904,16.014230728149414,0,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,13.218817710876465 +1979,55,1,all,18-20 yrs,366,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,127.54568481445312 +1979,55,1,MVA,18-20 yrs,192,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,66.909210205078125 +1979,55,1,suicide,18-20 yrs,55,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,19.166702270507812 +1979,55,1,homicide,18-20 yrs,21,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,7.318195343017578 +1979,55,1,other external,18-20 yrs,54,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,18.81821632385254 +1979,55,1,internal,18-20 yrs,44,286956,18.99185562133789,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,15.333361625671387 +1979,55,1,all,21-24 yrs,385,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,110.54228973388672 +1979,55,1,MVA,21-24 yrs,165,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,47.375267028808594 +1979,55,1,suicide,21-24 yrs,64,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,18.3758602142334 +1979,55,1,homicide,21-24 yrs,12,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,3.4454739093780518 +1979,55,1,other external,21-24 yrs,62,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,17.80161476135254 +1979,55,1,internal,21-24 yrs,82,348283,22.471725463867188,1,0.08953168243169785,1.8799999952316284,0.2800000011920929,1.1699999570846558,3.3299999237060547,23.544071197509766 +1980,55,1,MVA,15-17 yrs,94,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,34.60105895996094 +1980,55,1,suicide,15-17 yrs,18,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,6.625734329223633 +1980,55,1,homicide,15-17 yrs,5,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,1.8404817581176758 +1980,55,1,other external,15-17 yrs,34,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,12.515275955200195 +1980,55,1,internal,15-17 yrs,30,271668,16.01999855041504,0,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,11.042890548706055 +1980,55,1,all,18-20 yrs,372,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,129.5255584716797 +1980,55,1,MVA,18-20 yrs,201,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,69.98558807373047 +1980,55,1,suicide,18-20 yrs,51,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.757535934448242 +1980,55,1,homicide,18-20 yrs,26,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,9.052862167358398 +1980,55,1,other external,18-20 yrs,48,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,16.712976455688477 +1980,55,1,internal,18-20 yrs,46,287202,19.00689125061035,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,16.0166015625 +1980,55,1,all,21-24 yrs,348,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,97.48991394042969 +1980,55,1,MVA,21-24 yrs,141,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,39.50022506713867 +1980,55,1,suicide,21-24 yrs,61,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.088748931884766 +1980,55,1,homicide,21-24 yrs,21,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,5.883012294769287 +1980,55,1,other external,21-24 yrs,62,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.368892669677734 +1980,55,1,internal,21-24 yrs,63,356960,22.469520568847656,1,0.07888349145650864,1.9600000381469727,0.3100000023841858,1.2000000476837158,3.4600000381469727,17.649036407470703 +1981,55,1,MVA,15-17 yrs,83,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,31.958969116210938 +1981,55,1,suicide,15-17 yrs,14,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,5.390669345855713 +1981,55,1,homicide,15-17 yrs,6,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,2.3102869987487793 +1981,55,1,other external,15-17 yrs,23,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,8.856100082397461 +1981,55,1,internal,15-17 yrs,34,259708,16.031404495239258,0,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,13.091626167297363 +1981,55,1,all,18-20 yrs,294,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,103.81246185302734 +1981,55,1,MVA,18-20 yrs,153,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,54.02485275268555 +1981,55,1,suicide,18-20 yrs,46,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,16.242765426635742 +1981,55,1,homicide,18-20 yrs,10,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,3.531036138534546 +1981,55,1,other external,18-20 yrs,35,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,12.358626365661621 +1981,55,1,internal,18-20 yrs,50,283203,19.0261287689209,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,17.655179977416992 +1981,55,1,all,21-24 yrs,385,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,106.22008514404297 +1981,55,1,MVA,21-24 yrs,156,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,43.039825439453125 +1981,55,1,suicide,21-24 yrs,64,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,17.657363891601562 +1981,55,1,homicide,21-24 yrs,23,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,6.345615386962891 +1981,55,1,other external,21-24 yrs,59,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,16.277883529663086 +1981,55,1,internal,21-24 yrs,83,362455,22.480911254882812,1,0.07150714844465256,1.9500000476837158,0.3100000023841858,1.2000000476837158,3.4700000286102295,22.899394989013672 +1982,55,1,MVA,15-17 yrs,71,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,28.75553321838379 +1982,55,1,suicide,15-17 yrs,24,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,9.72018051147461 +1982,55,1,homicide,15-17 yrs,4,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,1.6200300455093384 +1982,55,1,other external,15-17 yrs,15,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,6.075112819671631 +1982,55,1,internal,15-17 yrs,33,246909,16.028610229492188,0,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,13.36524772644043 +1982,55,1,all,18-20 yrs,280,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,102.12083435058594 +1982,55,1,MVA,18-20 yrs,132,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,48.142677307128906 +1982,55,1,suicide,18-20 yrs,51,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,18.6005802154541 +1982,55,1,homicide,18-20 yrs,13,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,4.741324424743652 +1982,55,1,other external,18-20 yrs,37,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,13.494538307189941 +1982,55,1,internal,18-20 yrs,47,274185,19.020872116088867,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,17.14171028137207 +1982,55,1,all,21-24 yrs,332,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,90.915313720703125 +1982,55,1,MVA,21-24 yrs,135,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,36.96857833862305 +1982,55,1,suicide,21-24 yrs,58,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,15.882796287536621 +1982,55,1,homicide,21-24 yrs,20,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,5.476826190948486 +1982,55,1,other external,21-24 yrs,54,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,14.787430763244629 +1982,55,1,internal,21-24 yrs,65,365175,22.475927352905273,1,0.06735751032829285,1.9299999475479126,0.30000001192092896,1.0399999618530273,3.2699999809265137,17.799684524536133 +1983,55,1,MVA,15-17 yrs,47,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,20.098955154418945 +1983,55,1,suicide,15-17 yrs,21,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,8.98038387298584 +1983,55,1,homicide,15-17 yrs,4,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,1.7105493545532227 +1983,55,1,other external,15-17 yrs,29,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,12.401482582092285 +1983,55,1,internal,15-17 yrs,33,233843,16.027732849121094,0,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,14.112032890319824 +1983,55,1,all,18-20 yrs,270,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,102.0836410522461 +1983,55,1,MVA,18-20 yrs,122,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,46.12668228149414 +1983,55,1,suicide,18-20 yrs,49,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,18.526290893554688 +1983,55,1,homicide,18-20 yrs,15,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,5.671313285827637 +1983,55,1,other external,18-20 yrs,45,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,17.013940811157227 +1983,55,1,internal,18-20 yrs,39,264489,19.025468826293945,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,14.745414733886719 +1983,55,1,all,21-24 yrs,304,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,83.84356689453125 +1983,55,1,MVA,21-24 yrs,119,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,32.820343017578125 +1983,55,1,suicide,21-24 yrs,62,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,17.099674224853516 +1983,55,1,homicide,21-24 yrs,19,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,5.240222930908203 +1983,55,1,other external,21-24 yrs,43,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,11.859451293945312 +1983,55,1,internal,21-24 yrs,61,362580,22.488269805908203,1,0.06526104360818863,1.9299999475479126,0.33000001311302185,1.0700000524520874,3.3299999237060547,16.82387351989746 +1984,55,0.9601802229881287,MVA,15-17 yrs,61,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,26.788576126098633 +1984,55,0.9601802229881287,suicide,15-17 yrs,17,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,7.465668678283691 +1984,55,0.9601802229881287,homicide,15-17 yrs,5,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,2.1957850456237793 +1984,55,0.9601802229881287,other external,15-17 yrs,14,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,6.148198127746582 +1984,55,0.9601802229881287,internal,15-17 yrs,36,227709,16.01608657836914,0,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,15.809651374816895 +1984,55,0.9601802229881287,all,18-20 yrs,240,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,94.4376220703125 +1984,55,0.9601802229881287,MVA,18-20 yrs,127,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,49.973243713378906 +1984,55,0.9601802229881287,suicide,18-20 yrs,43,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,16.920074462890625 +1984,55,0.9601802229881287,homicide,18-20 yrs,11,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,4.328391075134277 +1984,55,0.9601802229881287,other external,18-20 yrs,20,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,7.869801998138428 +1984,55,0.9601802229881287,internal,18-20 yrs,39,254136,19.036264419555664,0.9601802229881287,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,15.346114158630371 +1984,55,0.9601802229881287,all,21-24 yrs,333,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,93.237091064453125 +1984,55,0.9601802229881287,MVA,21-24 yrs,125,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,34.99890899658203 +1984,55,0.9601802229881287,suicide,21-24 yrs,78,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,21.839319229125977 +1984,55,0.9601802229881287,homicide,21-24 yrs,15,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,4.199869155883789 +1984,55,0.9601802229881287,other external,21-24 yrs,51,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,14.27955436706543 +1984,55,0.9601802229881287,internal,21-24 yrs,64,357154,22.505027770996094,1,0.06256014853715897,1.8600000143051147,0.30000001192092896,1.0299999713897705,3.190000057220459,17.91944122314453 +1985,55,0.7235763072967529,MVA,15-17 yrs,49,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,21.757471084594727 +1985,55,0.7235763072967529,suicide,15-17 yrs,33,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,14.652990341186523 +1985,55,0.7235763072967529,homicide,15-17 yrs,1,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,0.4440300166606903 +1985,55,0.7235763072967529,other external,15-17 yrs,22,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,9.768660545349121 +1985,55,0.7235763072967529,internal,15-17 yrs,27,225210,15.997056007385254,0,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,11.988810539245605 +1985,55,0.7235763072967529,all,18-20 yrs,216,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,89.03067779541016 +1985,55,0.7235763072967529,MVA,18-20 yrs,103,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,42.454444885253906 +1985,55,0.7235763072967529,suicide,18-20 yrs,39,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,16.074983596801758 +1985,55,0.7235763072967529,homicide,18-20 yrs,14,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,5.770506858825684 +1985,55,0.7235763072967529,other external,18-20 yrs,27,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,11.12883472442627 +1985,55,0.7235763072967529,internal,18-20 yrs,33,242613,19.031993865966797,0.7235763072967529,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,13.601909637451172 +1985,55,0.7235763072967529,all,21-24 yrs,321,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,91.88677215576172 +1985,55,0.7235763072967529,MVA,21-24 yrs,115,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,32.91893768310547 +1985,55,0.7235763072967529,suicide,21-24 yrs,66,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,18.892606735229492 +1985,55,0.7235763072967529,homicide,21-24 yrs,16,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,4.580026149749756 +1985,55,0.7235763072967529,other external,21-24 yrs,44,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,12.595071792602539 +1985,55,0.7235763072967529,internal,21-24 yrs,80,349343,22.518341064453125,1,0.06040892004966736,1.8200000524520874,0.3199999928474426,1.0499999523162842,3.190000057220459,22.900129318237305 +1986,55,0.6408324241638184,MVA,15-17 yrs,52,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,22.952686309814453 +1986,55,0.6408324241638184,suicide,15-17 yrs,22,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,9.7107515335083 +1986,55,0.6408324241638184,homicide,15-17 yrs,6,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,2.6483869552612305 +1986,55,0.6408324241638184,other external,15-17 yrs,21,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,9.269353866577148 +1986,55,0.6408324241638184,internal,15-17 yrs,32,226553,15.995193481445312,0,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,14.124730110168457 +1986,55,0.6408324241638184,all,18-20 yrs,219,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,94.68141174316406 +1986,55,0.6408324241638184,MVA,18-20 yrs,95,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,41.07184600830078 +1986,55,0.6408324241638184,suicide,18-20 yrs,39,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,16.861072540283203 +1986,55,0.6408324241638184,homicide,18-20 yrs,15,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,6.485028266906738 +1986,55,0.6408324241638184,other external,18-20 yrs,24,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,10.376045227050781 +1986,55,0.6408324241638184,internal,18-20 yrs,46,231302,19.027673721313477,0.6408324241638184,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,19.887420654296875 +1986,55,0.6408324241638184,all,21-24 yrs,294,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,87.74285888671875 +1986,55,0.6408324241638184,MVA,21-24 yrs,108,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,32.23207092285156 +1986,55,0.6408324241638184,suicide,21-24 yrs,61,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,18.205150604248047 +1986,55,0.6408324241638184,homicide,21-24 yrs,30,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,8.953352928161621 +1986,55,0.6408324241638184,other external,21-24 yrs,40,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,11.937804222106934 +1986,55,0.6408324241638184,internal,21-24 yrs,55,335070,22.517091751098633,1,0.05930656939744949,1.8700000047683716,0.3400000035762787,0.949999988079071,3.1600000858306885,16.414480209350586 +1987,55,0.33809036016464233,MVA,15-17 yrs,58,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,26.315549850463867 +1987,55,0.33809036016464233,suicide,15-17 yrs,17,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,7.713178634643555 +1987,55,0.33809036016464233,homicide,15-17 yrs,5,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,2.2685818672180176 +1987,55,0.33809036016464233,other external,15-17 yrs,15,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,6.805746078491211 +1987,55,0.33809036016464233,internal,15-17 yrs,27,220402,16.03533935546875,0,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,12.25034236907959 +1987,55,0.33809036016464233,all,18-20 yrs,199,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,88.118988037109375 +1987,55,0.33809036016464233,MVA,18-20 yrs,85,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,37.638763427734375 +1987,55,0.33809036016464233,suicide,18-20 yrs,51,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,22.58325958251953 +1987,55,0.33809036016464233,homicide,18-20 yrs,12,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,5.3137078285217285 +1987,55,0.33809036016464233,other external,18-20 yrs,17,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,7.527752876281738 +1987,55,0.33809036016464233,internal,18-20 yrs,34,225831,19.015316009521484,0.33809036016464233,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,15.055505752563477 +1987,55,0.33809036016464233,all,21-24 yrs,277,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,86.3735580444336 +1987,55,0.33809036016464233,MVA,21-24 yrs,103,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,32.117244720458984 +1987,55,0.33809036016464233,suicide,21-24 yrs,71,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,22.139070510864258 +1987,55,0.33809036016464233,homicide,21-24 yrs,15,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,4.6772685050964355 +1987,55,0.33809036016464233,other external,21-24 yrs,38,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,11.849080085754395 +1987,55,0.33809036016464233,internal,21-24 yrs,50,320700,22.52387237548828,1,0.05721830949187279,1.7799999713897705,0.36000001430511475,0.9700000286102295,3.109999895095825,15.59089469909668 +1988,55,0.040593843907117844,MVA,15-17 yrs,53,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,25.159860610961914 +1988,55,0.040593843907117844,suicide,15-17 yrs,38,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,18.03914451599121 +1988,55,0.040593843907117844,homicide,15-17 yrs,4,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,1.8988573551177979 +1988,55,0.040593843907117844,other external,15-17 yrs,14,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,6.646000862121582 +1988,55,0.040593843907117844,internal,15-17 yrs,36,210653,16.058807373046875,0,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.0897159576416 +1988,55,0.040593843907117844,all,18-20 yrs,219,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,97.02845001220703 +1988,55,0.040593843907117844,MVA,18-20 yrs,107,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,47.406593322753906 +1988,55,0.040593843907117844,suicide,18-20 yrs,37,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,16.392934799194336 +1988,55,0.040593843907117844,homicide,18-20 yrs,5,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,2.215261459350586 +1988,55,0.040593843907117844,other external,18-20 yrs,30,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,13.2915678024292 +1988,55,0.040593843907117844,internal,18-20 yrs,40,225707,18.99665069580078,0.040593843907117844,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.722091674804688 +1988,55,0.040593843907117844,all,21-24 yrs,303,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,97.89952087402344 +1988,55,0.040593843907117844,MVA,21-24 yrs,120,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,38.77208709716797 +1988,55,0.040593843907117844,suicide,21-24 yrs,64,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,20.678447723388672 +1988,55,0.040593843907117844,homicide,21-24 yrs,28,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,9.046820640563965 +1988,55,0.040593843907117844,other external,21-24 yrs,36,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,11.63162612915039 +1988,55,0.040593843907117844,internal,21-24 yrs,55,309501,22.52444076538086,1,0.05494505167007446,1.75,0.33000001311302185,0.949999988079071,3.0199999809265137,17.770540237426758 +1989,55,0,MVA,15-17 yrs,57,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,28.56570053100586 +1989,55,0,suicide,15-17 yrs,22,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,11.025358200073242 +1989,55,0,homicide,15-17 yrs,8,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,4.009221076965332 +1989,55,0,other external,15-17 yrs,14,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,7.01613712310791 +1989,55,0,internal,15-17 yrs,33,199540,16.02597427368164,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,16.53803825378418 +1989,55,0,all,18-20 yrs,196,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,85.86360931396484 +1989,55,0,MVA,18-20 yrs,83,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,36.36061096191406 +1989,55,0,suicide,18-20 yrs,34,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,14.894707679748535 +1989,55,0,homicide,18-20 yrs,22,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.637751579284668 +1989,55,0,other external,18-20 yrs,22,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.637751579284668 +1989,55,0,internal,18-20 yrs,35,228269,18.995891571044922,0,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,15.33278751373291 +1989,55,0,all,21-24 yrs,260,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,88.15172576904297 +1989,55,0,MVA,21-24 yrs,102,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,34.582603454589844 +1989,55,0,suicide,21-24 yrs,53,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,17.969390869140625 +1989,55,0,homicide,21-24 yrs,27,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,9.154217720031738 +1989,55,0,other external,21-24 yrs,25,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,8.476127624511719 +1989,55,0,internal,21-24 yrs,53,294946,22.517261505126953,1,0.052419353276491165,1.7100000381469727,0.3100000023841858,0.949999988079071,2.9600000381469727,17.969390869140625 +1990,55,0,MVA,15-17 yrs,58,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,29.013927459716797 +1990,55,0,suicide,15-17 yrs,22,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,11.005282402038574 +1990,55,0,homicide,15-17 yrs,10,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,5.002401351928711 +1990,55,0,other external,15-17 yrs,11,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,5.502641201019287 +1990,55,0,internal,15-17 yrs,33,199904,15.990760803222656,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,16.507923126220703 +1990,55,0,all,18-20 yrs,219,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,97.58358001708984 +1990,55,0,MVA,18-20 yrs,79,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,35.20138168334961 +1990,55,0,suicide,18-20 yrs,51,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,22.724943161010742 +1990,55,0,homicide,18-20 yrs,30,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,13.367613792419434 +1990,55,0,other external,18-20 yrs,19,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,8.466155052185059 +1990,55,0,internal,18-20 yrs,40,224423,19.03774070739746,0,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.823484420776367 +1990,55,0,all,21-24 yrs,260,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,90.85063934326172 +1990,55,0,MVA,21-24 yrs,99,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,34.5931282043457 +1990,55,0,suicide,21-24 yrs,49,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.121850967407227 +1990,55,0,homicide,21-24 yrs,30,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,10.482766151428223 +1990,55,0,other external,21-24 yrs,32,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,11.181617736816406 +1990,55,0,internal,21-24 yrs,50,286184,22.496572494506836,1,0.049732211977243423,1.7400000095367432,0.3100000023841858,1.0299999713897705,3.069999933242798,17.471277236938477 +1991,55,0,MVA,15-17 yrs,48,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,23.5838623046875 +1991,55,0,suicide,15-17 yrs,22,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,10.809270858764648 +1991,55,0,homicide,15-17 yrs,19,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,9.33527946472168 +1991,55,0,other external,15-17 yrs,12,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,5.895965576171875 +1991,55,0,internal,15-17 yrs,29,203529,15.995794296264648,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.248583793640137 +1991,55,0,all,18-20 yrs,192,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,89.322265625 +1991,55,0,MVA,18-20 yrs,77,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,35.82195281982422 +1991,55,0,suicide,18-20 yrs,31,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.42182445526123 +1991,55,0,homicide,18-20 yrs,32,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,14.887044906616211 +1991,55,0,other external,18-20 yrs,24,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,11.165283203125 +1991,55,0,internal,18-20 yrs,28,214952,19.060325622558594,0,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,13.026164054870605 +1991,55,0,all,21-24 yrs,272,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,94.493988037109375 +1991,55,0,MVA,21-24 yrs,108,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,37.51967239379883 +1991,55,0,suicide,21-24 yrs,50,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,17.37021827697754 +1991,55,0,homicide,21-24 yrs,32,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,11.116939544677734 +1991,55,0,other external,21-24 yrs,25,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,8.68510913848877 +1991,55,0,internal,21-24 yrs,57,287849,22.48046112060547,1,0.047723934054374695,1.649999976158142,0.27000001072883606,0.8399999737739563,2.759999990463257,19.80204963684082 +1992,55,0,MVA,15-17 yrs,47,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,22.3023624420166 +1992,55,0,suicide,15-17 yrs,32,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,15.184587478637695 +1992,55,0,homicide,15-17 yrs,20,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.49036693572998 +1992,55,0,other external,15-17 yrs,20,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.49036693572998 +1992,55,0,internal,15-17 yrs,26,210740,15.993517875671387,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,12.337477684020996 +1992,55,0,all,18-20 yrs,171,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,83.3053207397461 +1992,55,0,MVA,18-20 yrs,66,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,32.152931213378906 +1992,55,0,suicide,18-20 yrs,35,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,17.050796508789062 +1992,55,0,homicide,18-20 yrs,22,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,10.717643737792969 +1992,55,0,other external,18-20 yrs,22,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,10.717643737792969 +1992,55,0,internal,18-20 yrs,26,205269,19.027198791503906,0,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,12.666306495666504 +1992,55,0,all,21-24 yrs,208,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,71.57210540771484 +1992,55,0,MVA,21-24 yrs,70,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,24.086767196655273 +1992,55,0,suicide,21-24 yrs,40,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,13.763867378234863 +1992,55,0,homicide,21-24 yrs,27,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,9.290610313415527 +1992,55,0,other external,21-24 yrs,19,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,6.537837028503418 +1992,55,0,internal,21-24 yrs,52,290616,22.467668533325195,1,0.045984409749507904,1.590000033378601,0.25,0.8999999761581421,2.740000009536743,17.89302635192871 +1993,55,0,MVA,15-17 yrs,55,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,25.48927879333496 +1993,55,0,suicide,15-17 yrs,23,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,10.65915298461914 +1993,55,0,homicide,15-17 yrs,21,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.732270240783691 +1993,55,0,other external,15-17 yrs,13,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,6.024738311767578 +1993,55,0,internal,15-17 yrs,27,215777,15.988789558410645,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,12.512918472290039 +1993,55,0,all,18-20 yrs,231,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,112.18875122070312 +1993,55,0,MVA,18-20 yrs,106,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,51.480552673339844 +1993,55,0,suicide,18-20 yrs,37,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,17.969627380371094 +1993,55,0,homicide,18-20 yrs,27,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,13.112970352172852 +1993,55,0,other external,18-20 yrs,20,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.713311195373535 +1993,55,0,internal,18-20 yrs,41,205903,18.993209838867188,0,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,19.912288665771484 +1993,55,0,all,21-24 yrs,243,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,84.45594024658203 +1993,55,0,MVA,21-24 yrs,82,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,28.499534606933594 +1993,55,0,suicide,21-24 yrs,43,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,14.944877624511719 +1993,55,0,homicide,21-24 yrs,27,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.383993148803711 +1993,55,0,other external,21-24 yrs,28,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,9.731548309326172 +1993,55,0,internal,21-24 yrs,63,287724,22.5078067779541,1,0.04464783892035484,1.590000033378601,0.2199999988079071,0.8899999856948853,2.7100000381469727,21.89598274230957 +1994,55,0,MVA,15-17 yrs,52,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,23.18985366821289 +1994,55,0,suicide,15-17 yrs,20,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,8.9191741943359375 +1994,55,0,homicide,15-17 yrs,21,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,9.365133285522461 +1994,55,0,other external,15-17 yrs,22,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,9.811091423034668 +1994,55,0,internal,15-17 yrs,28,224236,15.99183464050293,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,12.486844062805176 +1994,55,0,all,18-20 yrs,181,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,86.36155700683594 +1994,55,0,MVA,18-20 yrs,80,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,38.17085266113281 +1994,55,0,suicide,18-20 yrs,28,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,13.359798431396484 +1994,55,0,homicide,18-20 yrs,30,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,14.314069747924805 +1994,55,0,other external,18-20 yrs,16,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,7.6341705322265625 +1994,55,0,internal,18-20 yrs,27,209584,18.99650764465332,0,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,12.882662773132324 +1994,55,0,all,21-24 yrs,238,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,85.29304504394531 +1994,55,0,MVA,21-24 yrs,81,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,29.028305053710938 +1994,55,0,suicide,21-24 yrs,44,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,15.768461227416992 +1994,55,0,homicide,21-24 yrs,38,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,13.618216514587402 +1994,55,0,other external,21-24 yrs,32,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,11.467971801757812 +1994,55,0,internal,21-24 yrs,43,279038,22.549827575683594,1,0.04353315010666847,1.5800000429153442,0.2199999988079071,0.9100000262260437,2.7200000286102295,15.410087585449219 +1995,55,0,MVA,15-17 yrs,57,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,24.42776870727539 +1995,55,0,suicide,15-17 yrs,23,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,9.856819152832031 +1995,55,0,homicide,15-17 yrs,15,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,6.4283599853515625 +1995,55,0,other external,15-17 yrs,21,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,8.999704360961914 +1995,55,0,internal,15-17 yrs,29,233341,15.97841739654541,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,12.428163528442383 +1995,55,0,all,18-20 yrs,184,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,84.992767333984375 +1995,55,0,MVA,18-20 yrs,63,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,29.100786209106445 +1995,55,0,suicide,18-20 yrs,28,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,12.933682441711426 +1995,55,0,homicide,18-20 yrs,33,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,15.243268966674805 +1995,55,0,other external,18-20 yrs,20,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,9.2383451461792 +1995,55,0,internal,18-20 yrs,40,216489,18.994340896606445,0,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,18.4766902923584 +1995,55,0,all,21-24 yrs,227,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,84.261322021484375 +1995,55,0,MVA,21-24 yrs,74,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,27.468448638916016 +1995,55,0,suicide,21-24 yrs,52,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,19.302152633666992 +1995,55,0,homicide,21-24 yrs,32,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,11.87824821472168 +1995,55,0,other external,21-24 yrs,17,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,6.310319423675537 +1995,55,0,internal,21-24 yrs,52,269400,22.544477462768555,1,0.042333416640758514,1.5499999523162842,0.23000000417232513,0.8700000047683716,2.6500000953674316,19.302152633666992 +1996,55,0,MVA,15-17 yrs,59,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,24.50349235534668 +1996,55,0,suicide,15-17 yrs,17,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.060328483581543 +1996,55,0,homicide,15-17 yrs,18,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.47564172744751 +1996,55,0,other external,15-17 yrs,11,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,4.568447589874268 +1996,55,0,internal,15-17 yrs,32,240782,15.992864608764648,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,13.290029525756836 +1996,55,0,all,18-20 yrs,178,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,80.39020538330078 +1996,55,0,MVA,18-20 yrs,67,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,30.259235382080078 +1996,55,0,suicide,18-20 yrs,35,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,15.807063102722168 +1996,55,0,homicide,18-20 yrs,22,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,9.935868263244629 +1996,55,0,other external,18-20 yrs,22,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,9.935868263244629 +1996,55,0,internal,18-20 yrs,32,221420,18.9883975982666,0,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,14.45217227935791 +1996,55,0,all,21-24 yrs,225,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,85.88966369628906 +1996,55,0,MVA,21-24 yrs,80,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,30.53854751586914 +1996,55,0,suicide,21-24 yrs,44,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,16.796201705932617 +1996,55,0,homicide,21-24 yrs,28,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,10.688491821289062 +1996,55,0,other external,21-24 yrs,20,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,7.634636878967285 +1996,55,0,internal,21-24 yrs,53,261964,22.481813430786133,1,0.04111926630139351,1.5299999713897705,0.23999999463558197,0.8799999952316284,2.6500000953674316,20.231786727905273 +1970,56,0,MVA,15-17 yrs,16,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,75.30120849609375 +1970,56,0,suicide,15-17 yrs,3,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,14.118975639343262 +1970,56,0,homicide,15-17 yrs,0,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,0 +1970,56,0,other external,15-17 yrs,8,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,37.650604248046875 +1970,56,0,internal,15-17 yrs,6,21248,15.984328269958496,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,28.237951278686523 +1970,56,0,all,18-20 yrs,45,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,259.8602600097656 +1970,56,0,MVA,18-20 yrs,25,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,144.36680603027344 +1970,56,0,suicide,18-20 yrs,3,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,17.324016571044922 +1970,56,0,homicide,18-20 yrs,1,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,5.774672508239746 +1970,56,0,other external,18-20 yrs,12,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,69.29606628417969 +1970,56,0,internal,18-20 yrs,4,17317,18.935497283935547,0,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,23.098690032958984 +1970,56,0,all,21-24 yrs,55,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,282.1525573730469 +1970,56,0,MVA,21-24 yrs,27,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,138.51126098632812 +1970,56,0,suicide,21-24 yrs,5,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,25.65023422241211 +1970,56,0,homicide,21-24 yrs,4,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,20.520187377929688 +1970,56,0,other external,21-24 yrs,15,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,76.95069885253906 +1970,56,0,internal,21-24 yrs,4,19493,22.430667877197266,1,0.05154639109969139,1.2799999713897705,0.1599999964237213,1.149999976158142,2.5899999141693115,20.520187377929688 +1971,56,0,MVA,15-17 yrs,16,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,73.95082092285156 +1971,56,0,suicide,15-17 yrs,0,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,homicide,15-17 yrs,0,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,other external,15-17 yrs,8,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,36.97541046142578 +1971,56,0,internal,15-17 yrs,3,21636,15.994961738586426,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,13.865778923034668 +1971,56,0,all,18-20 yrs,35,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,184.49212646484375 +1971,56,0,MVA,18-20 yrs,19,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,100.15286254882812 +1971,56,0,suicide,18-20 yrs,4,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,21.084814071655273 +1971,56,0,homicide,18-20 yrs,2,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,10.542407035827637 +1971,56,0,other external,18-20 yrs,8,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,42.16962814331055 +1971,56,0,internal,18-20 yrs,2,18971,18.94317626953125,0,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,10.542407035827637 +1971,56,0,all,21-24 yrs,52,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,236.00962829589844 +1971,56,0,MVA,21-24 yrs,30,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,136.15939331054688 +1971,56,0,suicide,21-24 yrs,8,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,36.309173583984375 +1971,56,0,homicide,21-24 yrs,0,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,0 +1971,56,0,other external,21-24 yrs,10,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,45.38646697998047 +1971,56,0,internal,21-24 yrs,4,22033,22.5548038482666,1,0.04938271641731262,1.3200000524520874,0.18000000715255737,1.1799999475479126,2.690000057220459,18.154586791992188 +1972,56,0,MVA,15-17 yrs,26,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,118.8788833618164 +1972,56,0,suicide,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,homicide,15-17 yrs,0,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,internal,15-17 yrs,4,21871,15.984362602233887,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,18.289058685302734 +1972,56,0,all,18-20 yrs,50,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,243.81918334960938 +1972,56,0,MVA,18-20 yrs,28,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,136.5387420654297 +1972,56,0,suicide,18-20 yrs,2,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,9.752767562866211 +1972,56,0,homicide,18-20 yrs,0,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,18-20 yrs,16,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,78.02214050292969 +1972,56,0,internal,18-20 yrs,4,20507,18.968645095825195,0,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,19.505535125732422 +1972,56,0,all,21-24 yrs,70,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,302.75506591796875 +1972,56,0,MVA,21-24 yrs,30,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,129.75216674804688 +1972,56,0,suicide,21-24 yrs,14,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,60.5510139465332 +1972,56,0,homicide,21-24 yrs,0,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,0 +1972,56,0,other external,21-24 yrs,16,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,69.20115661621094 +1972,56,0,internal,21-24 yrs,10,23121,22.515289306640625,1,0.04784689098596573,1.399999976158142,0.1899999976158142,1.1699999570846558,2.759999990463257,43.25072479248047 +1973,56,0.4482218027114868,MVA,15-17 yrs,9,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,40.814476013183594 +1973,56,0.4482218027114868,suicide,15-17 yrs,3,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,13.604825019836426 +1973,56,0.4482218027114868,homicide,15-17 yrs,1,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.534941673278809 +1973,56,0.4482218027114868,other external,15-17 yrs,8,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,36.27953338623047 +1973,56,0.4482218027114868,internal,15-17 yrs,2,22051,15.994648933410645,0,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,9.069883346557617 +1973,56,0.4482218027114868,all,18-20 yrs,58,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,271.5228576660156 +1973,56,0.4482218027114868,MVA,18-20 yrs,32,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,149.80572509765625 +1973,56,0.4482218027114868,suicide,18-20 yrs,1,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.681428909301758 +1973,56,0.4482218027114868,homicide,18-20 yrs,1,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,4.681428909301758 +1973,56,0.4482218027114868,other external,18-20 yrs,15,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,70.22142791748047 +1973,56,0.4482218027114868,internal,18-20 yrs,9,21361,18.993913650512695,0.4482218027114868,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,42.13285827636719 +1973,56,0.4482218027114868,all,21-24 yrs,64,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,259.8879089355469 +1973,56,0.4482218027114868,MVA,21-24 yrs,31,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,125.88320922851562 +1973,56,0.4482218027114868,suicide,21-24 yrs,7,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,28.425241470336914 +1973,56,0.4482218027114868,homicide,21-24 yrs,4,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,16.24299430847168 +1973,56,0.4482218027114868,other external,21-24 yrs,14,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,56.85048294067383 +1973,56,0.4482218027114868,internal,21-24 yrs,8,24626,22.489076614379883,1,0.045045044273138046,1.5399999618530273,0.20000000298023224,1.2400000095367432,2.9800000190734863,32.48598861694336 +1974,56,0.670043408870697,MVA,15-17 yrs,14,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,62.10353469848633 +1974,56,0.670043408870697,suicide,15-17 yrs,1,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,4.435966968536377 +1974,56,0.670043408870697,homicide,15-17 yrs,0,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,0 +1974,56,0.670043408870697,other external,15-17 yrs,12,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,53.23160171508789 +1974,56,0.670043408870697,internal,15-17 yrs,6,22543,16.001331329345703,0,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,26.615800857543945 +1974,56,0.670043408870697,all,18-20 yrs,69,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,312.0477600097656 +1974,56,0.670043408870697,MVA,18-20 yrs,42,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,189.94210815429688 +1974,56,0.670043408870697,suicide,18-20 yrs,3,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,13.567294120788574 +1974,56,0.670043408870697,homicide,18-20 yrs,0,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,0 +1974,56,0.670043408870697,other external,18-20 yrs,17,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,76.88133239746094 +1974,56,0.670043408870697,internal,18-20 yrs,7,22112,19.005878448486328,0.670043408870697,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,31.657018661499023 +1974,56,0.670043408870697,all,21-24 yrs,61,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,230.60638427734375 +1974,56,0.670043408870697,MVA,21-24 yrs,28,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,105.85211181640625 +1974,56,0.670043408870697,suicide,21-24 yrs,6,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,22.682594299316406 +1974,56,0.670043408870697,homicide,21-24 yrs,8,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,30.243459701538086 +1974,56,0.670043408870697,other external,21-24 yrs,14,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,52.926055908203125 +1974,56,0.670043408870697,internal,21-24 yrs,5,26452,22.460872650146484,1,0.040567949414253235,1.7000000476837158,0.20999999344348907,1.309999942779541,3.2100000381469727,18.902162551879883 +1975,56,0.6681166291236877,MVA,15-17 yrs,19,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,82.04154205322266 +1975,56,0.6681166291236877,suicide,15-17 yrs,2,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,8.635951042175293 +1975,56,0.6681166291236877,homicide,15-17 yrs,0,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,0 +1975,56,0.6681166291236877,other external,15-17 yrs,11,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,47.49773406982422 +1975,56,0.6681166291236877,internal,15-17 yrs,4,23159,15.99205493927002,0,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,17.271902084350586 +1975,56,0.6681166291236877,all,18-20 yrs,62,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,267.022705078125 +1975,56,0.6681166291236877,MVA,18-20 yrs,35,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,150.73861694335938 +1975,56,0.6681166291236877,suicide,18-20 yrs,6,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,25.840906143188477 +1975,56,0.6681166291236877,homicide,18-20 yrs,0,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,0 +1975,56,0.6681166291236877,other external,18-20 yrs,12,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,51.68181228637695 +1975,56,0.6681166291236877,internal,18-20 yrs,9,23219,18.999526977539062,0.6681166291236877,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,38.76136016845703 +1975,56,0.6681166291236877,all,21-24 yrs,75,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,254.5565643310547 +1975,56,0.6681166291236877,MVA,21-24 yrs,34,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,115.39897155761719 +1975,56,0.6681166291236877,suicide,21-24 yrs,9,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,30.54678726196289 +1975,56,0.6681166291236877,homicide,21-24 yrs,5,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,16.97043800354004 +1975,56,0.6681166291236877,other external,21-24 yrs,21,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,71.27584075927734 +1975,56,0.6681166291236877,internal,21-24 yrs,6,29463,22.46600914001465,1,0.03717472031712532,1.8300000429153442,0.20999999344348907,1.3200000524520874,3.359999895095825,20.364524841308594 +1976,56,0.6792000532150269,MVA,15-17 yrs,18,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,75.45904541015625 +1976,56,0.6792000532150269,suicide,15-17 yrs,4,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,16.7686767578125 +1976,56,0.6792000532150269,homicide,15-17 yrs,0,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,0 +1976,56,0.6792000532150269,other external,15-17 yrs,9,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,37.729522705078125 +1976,56,0.6792000532150269,internal,15-17 yrs,4,23854,15.991070747375488,0,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,16.7686767578125 +1976,56,0.6792000532150269,all,18-20 yrs,72,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,297.4960632324219 +1976,56,0.6792000532150269,MVA,18-20 yrs,43,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,177.6712646484375 +1976,56,0.6792000532150269,suicide,18-20 yrs,5,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,20.65945053100586 +1976,56,0.6792000532150269,homicide,18-20 yrs,3,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,12.395669937133789 +1976,56,0.6792000532150269,other external,18-20 yrs,15,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,61.97834777832031 +1976,56,0.6792000532150269,internal,18-20 yrs,6,24202,19.01470947265625,0.6792000532150269,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,24.791339874267578 +1976,56,0.6792000532150269,all,21-24 yrs,71,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,220.40106201171875 +1976,56,0.6792000532150269,MVA,21-24 yrs,37,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,114.85689544677734 +1976,56,0.6792000532150269,suicide,21-24 yrs,7,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,21.72968292236328 +1976,56,0.6792000532150269,homicide,21-24 yrs,1,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,3.1042404174804688 +1976,56,0.6792000532150269,other external,21-24 yrs,21,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,65.18904876708984 +1976,56,0.6792000532150269,internal,21-24 yrs,5,32214,22.49950408935547,1,0.035149384289979935,1.8200000524520874,0.20999999344348907,1.309999942779541,3.3399999141693115,15.521202087402344 +1977,56,0.68210369348526,MVA,15-17 yrs,14,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,57.14985656738281 +1977,56,0.68210369348526,suicide,15-17 yrs,2,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,8.164264678955078 +1977,56,0.68210369348526,homicide,15-17 yrs,0,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,0 +1977,56,0.68210369348526,other external,15-17 yrs,5,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,20.410661697387695 +1977,56,0.68210369348526,internal,15-17 yrs,4,24497,16.001632690429688,0,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,16.328529357910156 +1977,56,0.68210369348526,all,18-20 yrs,47,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,186.8341522216797 +1977,56,0.68210369348526,MVA,18-20 yrs,33,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,131.18142700195312 +1977,56,0.68210369348526,suicide,18-20 yrs,2,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,7.950389385223389 +1977,56,0.68210369348526,homicide,18-20 yrs,0,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,0 +1977,56,0.68210369348526,other external,18-20 yrs,9,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,35.77675247192383 +1977,56,0.68210369348526,internal,18-20 yrs,3,25156,19.026792526245117,0.68210369348526,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,11.92558479309082 +1977,56,0.68210369348526,all,21-24 yrs,79,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,227.01148986816406 +1977,56,0.68210369348526,MVA,21-24 yrs,55,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,158.0459747314453 +1977,56,0.68210369348526,suicide,21-24 yrs,6,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,17.241378784179688 +1977,56,0.68210369348526,homicide,21-24 yrs,3,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,8.620689392089844 +1977,56,0.68210369348526,other external,21-24 yrs,11,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,31.609195709228516 +1977,56,0.68210369348526,internal,21-24 yrs,4,34800,22.521522521972656,1,0.0330033004283905,1.7899999618530273,0.20999999344348907,1.3200000524520874,3.309999942779541,11.494253158569336 +1978,56,0.68146151304245,MVA,15-17 yrs,21,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,85.35197448730469 +1978,56,0.68146151304245,suicide,15-17 yrs,2,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,8.128759384155273 +1978,56,0.68146151304245,homicide,15-17 yrs,2,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,8.128759384155273 +1978,56,0.68146151304245,other external,15-17 yrs,4,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,16.257518768310547 +1978,56,0.68146151304245,internal,15-17 yrs,6,24604,16.016216278076172,0,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,24.38627815246582 +1978,56,0.68146151304245,all,18-20 yrs,61,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,234.61538696289062 +1978,56,0.68146151304245,MVA,18-20 yrs,36,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,138.46153259277344 +1978,56,0.68146151304245,suicide,18-20 yrs,4,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,15.384614944458008 +1978,56,0.68146151304245,homicide,18-20 yrs,2,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,7.692307472229004 +1978,56,0.68146151304245,other external,18-20 yrs,17,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,65.384613037109375 +1978,56,0.68146151304245,internal,18-20 yrs,2,26000,19.022846221923828,0.68146151304245,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,7.692307472229004 +1978,56,0.68146151304245,all,21-24 yrs,70,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,188.05577087402344 +1978,56,0.68146151304245,MVA,21-24 yrs,39,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,104.77393341064453 +1978,56,0.68146151304245,suicide,21-24 yrs,10,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,26.865110397338867 +1978,56,0.68146151304245,homicide,21-24 yrs,2,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,5.373022079467773 +1978,56,0.68146151304245,other external,21-24 yrs,14,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,37.61115264892578 +1978,56,0.68146151304245,internal,21-24 yrs,5,37223,22.52497100830078,1,0.030674846842885017,1.8200000524520874,0.2199999988079071,1.3600000143051147,3.4100000858306885,13.432555198669434 +1979,56,0.6841331124305725,MVA,15-17 yrs,13,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,52.88422393798828 +1979,56,0.6841331124305725,suicide,15-17 yrs,3,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,12.204051971435547 +1979,56,0.6841331124305725,homicide,15-17 yrs,0,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,0 +1979,56,0.6841331124305725,other external,15-17 yrs,9,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,36.61215591430664 +1979,56,0.6841331124305725,internal,15-17 yrs,3,24582,16.020339965820312,0,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,12.204051971435547 +1979,56,0.6841331124305725,all,18-20 yrs,48,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,176.50303649902344 +1979,56,0.6841331124305725,MVA,18-20 yrs,29,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,106.63725280761719 +1979,56,0.6841331124305725,suicide,18-20 yrs,6,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,22.06287956237793 +1979,56,0.6841331124305725,homicide,18-20 yrs,2,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,7.354292869567871 +1979,56,0.6841331124305725,other external,18-20 yrs,8,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,29.417171478271484 +1979,56,0.6841331124305725,internal,18-20 yrs,3,27195,19.02621841430664,0.6841331124305725,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,11.031439781188965 +1979,56,0.6841331124305725,all,21-24 yrs,78,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,197.73867797851562 +1979,56,0.6841331124305725,MVA,21-24 yrs,39,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,98.86933898925781 +1979,56,0.6841331124305725,suicide,21-24 yrs,14,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,35.49155807495117 +1979,56,0.6841331124305725,homicide,21-24 yrs,4,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,10.1404447555542 +1979,56,0.6841331124305725,other external,21-24 yrs,15,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,38.026668548583984 +1979,56,0.6841331124305725,internal,21-24 yrs,6,39446,22.52768325805664,1,0.027548208832740784,1.8600000143051147,0.2199999988079071,1.2999999523162842,3.380000114440918,15.210667610168457 +1980,56,0.6908413171768188,MVA,15-17 yrs,23,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,94.61127471923828 +1980,56,0.6908413171768188,suicide,15-17 yrs,1,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,4.1135334968566895 +1980,56,0.6908413171768188,homicide,15-17 yrs,1,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,4.1135334968566895 +1980,56,0.6908413171768188,other external,15-17 yrs,10,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,41.13533401489258 +1980,56,0.6908413171768188,internal,15-17 yrs,4,24310,16.024887084960938,0,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,16.454133987426758 +1980,56,0.6908413171768188,all,18-20 yrs,67,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,240.07452392578125 +1980,56,0.6908413171768188,MVA,18-20 yrs,40,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,143.3280792236328 +1980,56,0.6908413171768188,suicide,18-20 yrs,6,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,21.49921226501465 +1980,56,0.6908413171768188,homicide,18-20 yrs,4,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,14.332807540893555 +1980,56,0.6908413171768188,other external,18-20 yrs,7,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,25.082412719726562 +1980,56,0.6908413171768188,internal,18-20 yrs,10,27908,19.037981033325195,0.6908413171768188,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,35.8320198059082 +1980,56,0.6908413171768188,all,21-24 yrs,70,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,172.0408935546875 +1980,56,0.6908413171768188,MVA,21-24 yrs,31,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,76.18953704833984 +1980,56,0.6908413171768188,suicide,21-24 yrs,11,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,27.034997940063477 +1980,56,0.6908413171768188,homicide,21-24 yrs,5,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,12.28863525390625 +1980,56,0.6908413171768188,other external,21-24 yrs,19,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,46.696815490722656 +1980,56,0.6908413171768188,internal,21-24 yrs,4,40688,22.53465461730957,1,0.02427184395492077,1.850000023841858,0.23999999463558197,1.3200000524520874,3.4200000762939453,9.83090877532959 +1981,56,0.689250111579895,MVA,15-17 yrs,15,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,62.22517395019531 +1981,56,0.689250111579895,suicide,15-17 yrs,2,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,8.296689987182617 +1981,56,0.689250111579895,homicide,15-17 yrs,0,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,0 +1981,56,0.689250111579895,other external,15-17 yrs,4,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,16.593379974365234 +1981,56,0.689250111579895,internal,15-17 yrs,2,24106,16.027254104614258,0,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,8.296689987182617 +1981,56,0.689250111579895,all,18-20 yrs,63,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,232.72996520996094 +1981,56,0.689250111579895,MVA,18-20 yrs,42,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,155.15330505371094 +1981,56,0.689250111579895,suicide,18-20 yrs,4,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,14.776505470275879 +1981,56,0.689250111579895,homicide,18-20 yrs,2,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,7.3882527351379395 +1981,56,0.689250111579895,other external,18-20 yrs,8,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,29.553010940551758 +1981,56,0.689250111579895,internal,18-20 yrs,7,27070,19.04222297668457,0.689250111579895,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,25.858884811401367 +1981,56,0.689250111579895,all,21-24 yrs,85,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,214.35415649414062 +1981,56,0.689250111579895,MVA,21-24 yrs,50,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,126.09068298339844 +1981,56,0.689250111579895,suicide,21-24 yrs,9,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,22.69632339477539 +1981,56,0.689250111579895,homicide,21-24 yrs,2,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,5.0436272621154785 +1981,56,0.689250111579895,other external,21-24 yrs,17,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,42.87083435058594 +1981,56,0.689250111579895,internal,21-24 yrs,7,39654,22.545896530151367,1,0.022002199664711952,1.909999966621399,0.23999999463558197,1.2699999809265137,3.4200000762939453,17.65269660949707 +1982,56,0.6818512082099915,MVA,15-17 yrs,15,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,63.25110626220703 +1982,56,0.6818512082099915,suicide,15-17 yrs,6,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,25.300443649291992 +1982,56,0.6818512082099915,homicide,15-17 yrs,0,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,0 +1982,56,0.6818512082099915,other external,15-17 yrs,4,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,16.866962432861328 +1982,56,0.6818512082099915,internal,15-17 yrs,3,23715,16.015010833740234,0,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,12.650221824645996 +1982,56,0.6818512082099915,all,18-20 yrs,45,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,172.11703491210938 +1982,56,0.6818512082099915,MVA,18-20 yrs,28,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,107.09504699707031 +1982,56,0.6818512082099915,suicide,18-20 yrs,2,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,7.649646282196045 +1982,56,0.6818512082099915,homicide,18-20 yrs,2,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,7.649646282196045 +1982,56,0.6818512082099915,other external,18-20 yrs,9,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,34.42340850830078 +1982,56,0.6818512082099915,internal,18-20 yrs,4,26145,19.026123046875,0.6818512082099915,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,15.29929256439209 +1982,56,0.6818512082099915,all,21-24 yrs,72,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,188.02882385253906 +1982,56,0.6818512082099915,MVA,21-24 yrs,29,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,75.73383331298828 +1982,56,0.6818512082099915,suicide,21-24 yrs,10,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,26.115116119384766 +1982,56,0.6818512082099915,homicide,21-24 yrs,9,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,23.503602981567383 +1982,56,0.6818512082099915,other external,21-24 yrs,18,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,47.007205963134766 +1982,56,0.6818512082099915,internal,21-24 yrs,6,38292,22.533740997314453,1,0.020725388079881668,1.7999999523162842,0.23999999463558197,1.2100000381469727,3.25,15.669069290161133 +1983,56,0.6849671006202698,MVA,15-17 yrs,10,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,42.41961669921875 +1983,56,0.6849671006202698,suicide,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,homicide,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,other external,15-17 yrs,1,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.241961479187012 +1983,56,0.6849671006202698,internal,15-17 yrs,0,23574,15.987528800964355,0,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,0 +1983,56,0.6849671006202698,all,18-20 yrs,39,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,158.36920166015625 +1983,56,0.6849671006202698,MVA,18-20 yrs,18,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,73.093475341796875 +1983,56,0.6849671006202698,suicide,18-20 yrs,8,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,32.48598861694336 +1983,56,0.6849671006202698,homicide,18-20 yrs,1,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.06074857711792 +1983,56,0.6849671006202698,other external,18-20 yrs,11,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,44.668235778808594 +1983,56,0.6849671006202698,internal,18-20 yrs,1,24626,19.02704429626465,0.6849671006202698,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,4.06074857711792 +1983,56,0.6849671006202698,all,21-24 yrs,65,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,182.24639892578125 +1983,56,0.6849671006202698,MVA,21-24 yrs,20,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,56.07581329345703 +1983,56,0.6849671006202698,suicide,21-24 yrs,20,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,56.07581329345703 +1983,56,0.6849671006202698,homicide,21-24 yrs,3,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,8.411372184753418 +1983,56,0.6849671006202698,other external,21-24 yrs,12,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,33.64548873901367 +1983,56,0.6849671006202698,internal,21-24 yrs,10,35666,22.541860580444336,1,0.0200803205370903,1.659999966621399,0.2199999988079071,1.090000033378601,2.9800000190734863,28.037906646728516 +1984,56,0.6847256422042847,MVA,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,suicide,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,homicide,15-17 yrs,1,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.25930643081665 +1984,56,0.6847256422042847,other external,15-17 yrs,4,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.0372257232666 +1984,56,0.6847256422042847,internal,15-17 yrs,1,23478,15.96865177154541,0,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.25930643081665 +1984,56,0.6847256422042847,all,18-20 yrs,41,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,179.13316345214844 +1984,56,0.6847256422042847,MVA,18-20 yrs,21,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,91.75113677978516 +1984,56,0.6847256422042847,suicide,18-20 yrs,8,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,34.95281219482422 +1984,56,0.6847256422042847,homicide,18-20 yrs,1,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,4.369101524353027 +1984,56,0.6847256422042847,other external,18-20 yrs,7,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,30.583711624145508 +1984,56,0.6847256422042847,internal,18-20 yrs,4,22888,19.030452728271484,0.6847256422042847,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,17.47640609741211 +1984,56,0.6847256422042847,all,21-24 yrs,61,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,185.79434204101562 +1984,56,0.6847256422042847,MVA,21-24 yrs,28,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,85.28265380859375 +1984,56,0.6847256422042847,suicide,21-24 yrs,8,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,24.366472244262695 +1984,56,0.6847256422042847,homicide,21-24 yrs,2,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,6.091618061065674 +1984,56,0.6847256422042847,other external,21-24 yrs,20,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,60.91617965698242 +1984,56,0.6847256422042847,internal,21-24 yrs,3,32832,22.55208396911621,1,0.01924927718937397,1.5800000429153442,0.2199999988079071,1.0499999523162842,2.859999895095825,9.13742733001709 +1985,56,0.6747925877571106,MVA,15-17 yrs,8,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,33.6487922668457 +1985,56,0.6747925877571106,suicide,15-17 yrs,1,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,4.206099033355713 +1985,56,0.6747925877571106,homicide,15-17 yrs,1,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,4.206099033355713 +1985,56,0.6747925877571106,other external,15-17 yrs,7,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,29.442691802978516 +1985,56,0.6747925877571106,internal,15-17 yrs,2,23775,15.961135864257812,0,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,8.412198066711426 +1985,56,0.6747925877571106,all,18-20 yrs,38,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,177.12315368652344 +1985,56,0.6747925877571106,MVA,18-20 yrs,19,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,88.56157684326172 +1985,56,0.6747925877571106,suicide,18-20 yrs,13,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,60.59476089477539 +1985,56,0.6747925877571106,homicide,18-20 yrs,0,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,0 +1985,56,0.6747925877571106,other external,18-20 yrs,3,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.983406066894531 +1985,56,0.6747925877571106,internal,18-20 yrs,3,21454,19.013097763061523,0.6747925877571106,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.983406066894531 +1985,56,0.6747925877571106,all,21-24 yrs,51,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,168.13925170898438 +1985,56,0.6747925877571106,MVA,21-24 yrs,20,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,65.93696594238281 +1985,56,0.6747925877571106,suicide,21-24 yrs,13,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,42.85902786254883 +1985,56,0.6747925877571106,homicide,21-24 yrs,4,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,13.187393188476562 +1985,56,0.6747925877571106,other external,21-24 yrs,11,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,36.26533126831055 +1985,56,0.6747925877571106,internal,21-24 yrs,3,30332,22.550111770629883,1,0.01858736015856266,1.559999942779541,0.25,1.0299999713897705,2.8399999141693115,9.890544891357422 +1986,56,0.6651237607002258,MVA,15-17 yrs,7,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.532997131347656 +1986,56,0.6651237607002258,suicide,15-17 yrs,2,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,8.152284622192383 +1986,56,0.6651237607002258,homicide,15-17 yrs,1,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,4.076142311096191 +1986,56,0.6651237607002258,other external,15-17 yrs,3,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,12.228426933288574 +1986,56,0.6651237607002258,internal,15-17 yrs,1,24533,15.960053443908691,0,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,4.076142311096191 +1986,56,0.6651237607002258,all,18-20 yrs,43,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,209.5108184814453 +1986,56,0.6651237607002258,MVA,18-20 yrs,22,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,107.19158172607422 +1986,56,0.6651237607002258,suicide,18-20 yrs,5,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,24.361722946166992 +1986,56,0.6651237607002258,homicide,18-20 yrs,4,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,19.489377975463867 +1986,56,0.6651237607002258,other external,18-20 yrs,8,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,38.978755950927734 +1986,56,0.6651237607002258,internal,18-20 yrs,4,20524,18.99234962463379,0.6651237607002258,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,19.489377975463867 +1986,56,0.6651237607002258,all,21-24 yrs,46,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,165.46762084960938 +1986,56,0.6651237607002258,MVA,21-24 yrs,24,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,86.3309326171875 +1986,56,0.6651237607002258,suicide,21-24 yrs,8,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.7769775390625 +1986,56,0.6651237607002258,homicide,21-24 yrs,0,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,0 +1986,56,0.6651237607002258,other external,21-24 yrs,8,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,28.7769775390625 +1986,56,0.6651237607002258,internal,21-24 yrs,6,27800,22.541475296020508,1,0.018248174339532852,1.4600000381469727,0.25999999046325684,0.9200000166893005,2.640000104904175,21.582733154296875 +1987,56,0.6538363695144653,MVA,15-17 yrs,8,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,33.75954818725586 +1987,56,0.6538363695144653,suicide,15-17 yrs,5,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,21.09971809387207 +1987,56,0.6538363695144653,homicide,15-17 yrs,0,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,0 +1987,56,0.6538363695144653,other external,15-17 yrs,1,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,4.219943523406982 +1987,56,0.6538363695144653,internal,15-17 yrs,2,23697,15.988563537597656,0,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,8.439887046813965 +1987,56,0.6538363695144653,all,18-20 yrs,27,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,137.46754455566406 +1987,56,0.6538363695144653,MVA,18-20 yrs,19,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,96.736419677734375 +1987,56,0.6538363695144653,suicide,18-20 yrs,2,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,10.182781219482422 +1987,56,0.6538363695144653,homicide,18-20 yrs,1,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,5.091390609741211 +1987,56,0.6538363695144653,other external,18-20 yrs,2,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,10.182781219482422 +1987,56,0.6538363695144653,internal,18-20 yrs,3,19641,18.971181869506836,0.6538363695144653,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,15.274171829223633 +1987,56,0.6538363695144653,all,21-24 yrs,35,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,140.6187286376953 +1987,56,0.6538363695144653,MVA,21-24 yrs,11,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,44.194454193115234 +1987,56,0.6538363695144653,suicide,21-24 yrs,7,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,28.12374496459961 +1987,56,0.6538363695144653,homicide,21-24 yrs,1,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,4.0176777839660645 +1987,56,0.6538363695144653,other external,21-24 yrs,6,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,24.10606575012207 +1987,56,0.6538363695144653,internal,21-24 yrs,10,24890,22.5441951751709,1,0.017605634406208992,1.4600000381469727,0.23999999463558197,0.8600000143051147,2.559999942779541,40.17677688598633 +1988,56,0.32408419251441956,MVA,15-17 yrs,10,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,44.573211669921875 +1988,56,0.32408419251441956,suicide,15-17 yrs,4,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,17.82928466796875 +1988,56,0.32408419251441956,homicide,15-17 yrs,0,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,0 +1988,56,0.32408419251441956,other external,15-17 yrs,7,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,31.201248168945312 +1988,56,0.32408419251441956,internal,15-17 yrs,3,22435,16.019968032836914,0,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,13.371963500976562 +1988,56,0.32408419251441956,all,18-20 yrs,33,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,168.02444458007812 +1988,56,0.32408419251441956,MVA,18-20 yrs,23,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,117.10794067382812 +1988,56,0.32408419251441956,suicide,18-20 yrs,5,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,25.458248138427734 +1988,56,0.32408419251441956,homicide,18-20 yrs,2,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,10.18329906463623 +1988,56,0.32408419251441956,other external,18-20 yrs,1,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,5.091649532318115 +1988,56,0.32408419251441956,internal,18-20 yrs,2,19640,18.95890998840332,0.32408419251441956,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,10.18329906463623 +1988,56,0.32408419251441956,all,21-24 yrs,42,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,182.03094482421875 +1988,56,0.32408419251441956,MVA,21-24 yrs,22,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,95.34954071044922 +1988,56,0.32408419251441956,suicide,21-24 yrs,5,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,21.670351028442383 +1988,56,0.32408419251441956,homicide,21-24 yrs,1,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,4.334070205688477 +1988,56,0.32408419251441956,other external,21-24 yrs,8,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,34.67256164550781 +1988,56,0.32408419251441956,internal,21-24 yrs,6,23073,22.537511825561523,1,0.016906170174479485,1.3899999856948853,0.23000000417232513,0.8299999833106995,2.4600000381469727,26.00442123413086 +1989,56,0,MVA,15-17 yrs,6,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,28.057048797607422 +1989,56,0,suicide,15-17 yrs,5,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,23.380874633789062 +1989,56,0,homicide,15-17 yrs,0,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,0 +1989,56,0,other external,15-17 yrs,1,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,4.676175117492676 +1989,56,0,internal,15-17 yrs,0,21385,16.01108169555664,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,0 +1989,56,0,all,18-20 yrs,31,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,154.45169067382812 +1989,56,0,MVA,18-20 yrs,16,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,79.71700286865234 +1989,56,0,suicide,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,homicide,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,other external,18-20 yrs,4,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,19.929250717163086 +1989,56,0,internal,18-20 yrs,3,20071,18.958995819091797,0,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,14.946938514709473 +1989,56,0,all,21-24 yrs,28,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,128.00584411621094 +1989,56,0,MVA,21-24 yrs,12,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,54.859649658203125 +1989,56,0,suicide,21-24 yrs,5,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,22.85818862915039 +1989,56,0,homicide,21-24 yrs,2,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,9.143275260925293 +1989,56,0,other external,21-24 yrs,6,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,27.429824829101562 +1989,56,0,internal,21-24 yrs,3,21874,22.509052276611328,1,0.016129031777381897,1.350000023841858,0.2199999988079071,0.8199999928474426,2.380000114440918,13.714912414550781 +1990,56,0,MVA,15-17 yrs,8,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,37.59751892089844 +1990,56,0,suicide,15-17 yrs,5,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,23.498449325561523 +1990,56,0,homicide,15-17 yrs,1,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,4.699689865112305 +1990,56,0,other external,15-17 yrs,2,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,9.39937973022461 +1990,56,0,internal,15-17 yrs,2,21278,15.986276626586914,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,9.39937973022461 +1990,56,0,all,18-20 yrs,29,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,143.2664794921875 +1990,56,0,MVA,18-20 yrs,15,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,74.10334777832031 +1990,56,0,suicide,18-20 yrs,6,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,29.641340255737305 +1990,56,0,homicide,18-20 yrs,1,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,4.940223217010498 +1990,56,0,other external,18-20 yrs,4,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,19.760892868041992 +1990,56,0,internal,18-20 yrs,3,20242,18.987895965576172,0,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,14.820670127868652 +1990,56,0,all,21-24 yrs,33,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,153.53836059570312 +1990,56,0,MVA,21-24 yrs,11,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,51.1794548034668 +1990,56,0,suicide,21-24 yrs,6,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,27.916065216064453 +1990,56,0,homicide,21-24 yrs,3,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,13.958032608032227 +1990,56,0,other external,21-24 yrs,6,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,27.916065216064453 +1990,56,0,internal,21-24 yrs,7,21493,22.46773338317871,1,0.015302218496799469,1.4800000190734863,0.2199999988079071,0.9300000071525574,2.630000114440918,32.56874465942383 +1991,56,0,MVA,15-17 yrs,10,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,45.798030853271484 +1991,56,0,suicide,15-17 yrs,5,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,22.899015426635742 +1991,56,0,homicide,15-17 yrs,1,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.579802989959717 +1991,56,0,other external,15-17 yrs,2,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.159605979919434 +1991,56,0,internal,15-17 yrs,2,21835,15.993725776672363,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.159605979919434 +1991,56,0,all,18-20 yrs,33,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,158.197509765625 +1991,56,0,MVA,18-20 yrs,16,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,76.70182037353516 +1991,56,0,suicide,18-20 yrs,10,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,47.938636779785156 +1991,56,0,homicide,18-20 yrs,0,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,0 +1991,56,0,other external,18-20 yrs,5,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,23.969318389892578 +1991,56,0,internal,18-20 yrs,2,20860,19.001726150512695,0,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,9.587727546691895 +1991,56,0,all,21-24 yrs,20,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,90.07791900634766 +1991,56,0,MVA,21-24 yrs,6,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,27.023374557495117 +1991,56,0,suicide,21-24 yrs,9,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,40.535064697265625 +1991,56,0,homicide,21-24 yrs,1,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.5038957595825195 +1991,56,0,other external,21-24 yrs,1,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,4.5038957595825195 +1991,56,0,internal,21-24 yrs,3,22203,22.41782569885254,1,0.014684287831187248,1.4500000476837158,0.20000000298023224,0.8999999761581421,2.559999942779541,13.511687278747559 +1992,56,0,MVA,15-17 yrs,10,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,43.969573974609375 +1992,56,0,suicide,15-17 yrs,4,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,17.58782958984375 +1992,56,0,homicide,15-17 yrs,0,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,0 +1992,56,0,other external,15-17 yrs,3,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,13.190872192382812 +1992,56,0,internal,15-17 yrs,1,22743,15.992612838745117,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.3969573974609375 +1992,56,0,all,18-20 yrs,30,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,140.47573852539062 +1992,56,0,MVA,18-20 yrs,14,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,65.55535125732422 +1992,56,0,suicide,18-20 yrs,8,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,37.46019744873047 +1992,56,0,homicide,18-20 yrs,1,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.682524681091309 +1992,56,0,other external,18-20 yrs,6,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,28.09514808654785 +1992,56,0,internal,18-20 yrs,1,21356,18.996723175048828,0,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.682524681091309 +1992,56,0,all,21-24 yrs,26,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,110.3097152709961 +1992,56,0,MVA,21-24 yrs,13,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,55.15485763549805 +1992,56,0,suicide,21-24 yrs,4,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,16.970726013183594 +1992,56,0,homicide,21-24 yrs,1,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.242681503295898 +1992,56,0,other external,21-24 yrs,1,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,4.242681503295898 +1992,56,0,internal,21-24 yrs,7,23570,22.389562606811523,1,0.014255166985094547,1.440000057220459,0.20000000298023224,0.9100000262260437,2.559999942779541,29.69877052307129 +1993,56,0,MVA,15-17 yrs,10,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,42.54594802856445 +1993,56,0,suicide,15-17 yrs,8,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,34.03675842285156 +1993,56,0,homicide,15-17 yrs,0,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,15-17 yrs,2,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,8.50918960571289 +1993,56,0,internal,15-17 yrs,4,23504,15.986682891845703,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,17.01837921142578 +1993,56,0,all,18-20 yrs,25,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,112.80061340332031 +1993,56,0,MVA,18-20 yrs,12,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,54.14429473876953 +1993,56,0,suicide,18-20 yrs,6,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,27.072147369384766 +1993,56,0,homicide,18-20 yrs,0,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,18-20 yrs,3,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,13.536073684692383 +1993,56,0,internal,18-20 yrs,4,22163,18.988088607788086,0,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,18.048097610473633 +1993,56,0,all,21-24 yrs,26,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,104.43864440917969 +1993,56,0,MVA,21-24 yrs,10,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,40.16870880126953 +1993,56,0,suicide,21-24 yrs,9,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,36.15183639526367 +1993,56,0,homicide,21-24 yrs,0,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,0 +1993,56,0,other external,21-24 yrs,4,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,16.06748390197754 +1993,56,0,internal,21-24 yrs,3,24895,22.409961700439453,1,0.013840829953551292,1.399999976158142,0.1899999976158142,0.8600000143051147,2.450000047683716,12.050612449645996 +1994,56,0,MVA,15-17 yrs,13,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,52.90143966674805 +1994,56,0,suicide,15-17 yrs,6,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,24.41604995727539 +1994,56,0,homicide,15-17 yrs,1,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,4.069341659545898 +1994,56,0,other external,15-17 yrs,3,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,12.208024978637695 +1994,56,0,internal,15-17 yrs,2,24574,15.997395515441895,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,8.138683319091797 +1994,56,0,all,18-20 yrs,35,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,153.1393585205078 +1994,56,0,MVA,18-20 yrs,27,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,118.13607788085938 +1994,56,0,suicide,18-20 yrs,3,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,13.126230239868164 +1994,56,0,homicide,18-20 yrs,5,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,21.877050399780273 +1994,56,0,other external,18-20 yrs,0,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,0 +1994,56,0,internal,18-20 yrs,0,22855,18.99391746520996,0,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,0 +1994,56,0,all,21-24 yrs,41,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,157.16038513183594 +1994,56,0,MVA,21-24 yrs,15,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,57.49769973754883 +1994,56,0,suicide,21-24 yrs,9,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,34.498619079589844 +1994,56,0,homicide,21-24 yrs,4,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,15.332719802856445 +1994,56,0,other external,21-24 yrs,9,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,34.498619079589844 +1994,56,0,internal,21-24 yrs,4,26088,22.440738677978516,1,0.013495276682078838,1.4199999570846558,0.18000000715255737,0.8299999833106995,2.430000066757202,15.332719802856445 +1995,56,0,MVA,15-17 yrs,11,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,42.92683029174805 +1995,56,0,suicide,15-17 yrs,5,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,19.512195587158203 +1995,56,0,homicide,15-17 yrs,1,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,3.9024391174316406 +1995,56,0,other external,15-17 yrs,2,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,7.804878234863281 +1995,56,0,internal,15-17 yrs,7,25625,15.986029624938965,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,27.317073822021484 +1995,56,0,all,18-20 yrs,42,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,177.30496215820312 +1995,56,0,MVA,18-20 yrs,22,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,92.87403106689453 +1995,56,0,suicide,18-20 yrs,7,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,29.550827026367188 +1995,56,0,homicide,18-20 yrs,0,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,0 +1995,56,0,other external,18-20 yrs,5,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,21.10773468017578 +1995,56,0,internal,18-20 yrs,8,23688,18.989234924316406,0,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,33.77237319946289 +1995,56,0,all,21-24 yrs,41,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,153.6674041748047 +1995,56,0,MVA,21-24 yrs,23,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,86.20366668701172 +1995,56,0,suicide,21-24 yrs,12,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,44.975826263427734 +1995,56,0,homicide,21-24 yrs,2,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,7.495970726013184 +1995,56,0,other external,21-24 yrs,3,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,11.243956565856934 +1995,56,0,internal,21-24 yrs,1,26681,22.452381134033203,1,0.01312335953116417,1.340000033378601,0.1599999964237213,0.800000011920929,2.2899999618530273,3.747985363006592 +1996,56,0,MVA,15-17 yrs,13,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,49.471038818359375 +1996,56,0,suicide,15-17 yrs,5,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,19.02732276916504 +1996,56,0,homicide,15-17 yrs,0,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,0 +1996,56,0,other external,15-17 yrs,5,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,19.02732276916504 +1996,56,0,internal,15-17 yrs,2,26278,16.001941680908203,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,7.610929489135742 +1996,56,0,all,18-20 yrs,33,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,136.18917846679688 +1996,56,0,MVA,18-20 yrs,20,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,82.53889465332031 +1996,56,0,suicide,18-20 yrs,0,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,0 +1996,56,0,homicide,18-20 yrs,3,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,12.380834579467773 +1996,56,0,other external,18-20 yrs,6,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,24.761669158935547 +1996,56,0,internal,18-20 yrs,4,24231,18.98076820373535,0,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,16.507780075073242 +1996,56,0,all,21-24 yrs,34,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,125.98658752441406 +1996,56,0,MVA,21-24 yrs,14,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,51.8768310546875 +1996,56,0,suicide,21-24 yrs,5,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,18.52743911743164 +1996,56,0,homicide,21-24 yrs,2,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,7.410975456237793 +1996,56,0,other external,21-24 yrs,10,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,37.05487823486328 +1996,56,0,internal,21-24 yrs,3,26987,22.43502426147461,1,0.01274697296321392,1.3700000047683716,0.1599999964237213,0.8100000023841858,2.3399999141693115,11.116463661193848 diff --git a/docs/projects/week-8/data/math_survey.csv b/docs/projects/week-8/data/math_survey.csv new file mode 100644 index 00000000..73fb8685 --- /dev/null +++ b/docs/projects/week-8/data/math_survey.csv @@ -0,0 +1,217 @@ +wave,timestamp,teacher,id_in_class,treatment,math_feeling,good_at_math,math_easy_hard,math_stressed,survey_stressed,math_anxiety +1,2019/01/29 6:12:22 PM MST,Teacher 1,1,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:13:16 PM MST,Teacher 1,2,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:14:04 PM MST,Teacher 1,4,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:14:42 PM MST,Teacher 1,5,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:15:39 PM MST,Teacher 1,6,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:16:36 PM MST,Teacher 1,7,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:17:27 PM MST,Teacher 1,8,Math story,:(,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/29 6:18:35 PM MST,Teacher 1,9,Math story,:(,Not good,Math is easy.,Yes,No,Yes +1,2019/01/29 6:20:03 PM MST,Teacher 1,10,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:20:52 PM MST,Teacher 1,11,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:21:53 PM MST,Teacher 1,12,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:22:39 PM MST,Teacher 1,14,Math story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:24:00 PM MST,Teacher 1,15,Math story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/29 6:24:30 PM MST,Teacher 1,16,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:25:35 PM MST,Teacher 1,18,Math story,:|,I'm okay,Math is hard.,No,No,No +1,2019/01/29 6:26:04 PM MST,Teacher 1,19,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:26:31 PM MST,Teacher 1,20,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:27:02 PM MST,Teacher 1,21,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:27:38 PM MST,Teacher 1,22,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/29 6:28:03 PM MST,Teacher 1,23,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +1,2019/01/29 6:28:54 PM MST,Teacher 1,24,Math story,:(,Not good,Math is hard.,Yes,No,Yes +1,2019/01/29 6:29:22 PM MST,Teacher 1,25,Math story,:),I'm good at math,Math is easy.,Yes,No,Yes +1,2019/01/29 6:30:16 PM MST,Teacher 1,26,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:30:49 PM MST,Teacher 1,27,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:31:21 PM MST,Teacher 1,28,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/29 6:31:57 PM MST,Teacher 1,29,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/29 6:32:28 PM MST,Teacher 1,30,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:32:57 PM MST,Teacher 1,31,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/29 6:37:57 PM MST,Teacher 4,0,Normal story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/29 6:38:38 PM MST,Teacher 4,1,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/29 6:39:55 PM MST,Teacher 4,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/29 6:42:04 PM MST,Teacher 4,3,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 7:54:55 PM MST,Teacher 4,4,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/30 7:55:48 PM MST,Teacher 4,6,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 7:56:26 PM MST,Teacher 4,7,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/30 7:57:15 PM MST,Teacher 4,8,Normal story,:),"Not just good, I'm great!",Math is fine.,NA,No,NA +1,2019/01/30 7:58:54 PM MST,Teacher 4,9,Normal story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/30 7:59:23 PM MST,Teacher 4,10,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 7:59:50 PM MST,Teacher 4,11,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:00:22 PM MST,Teacher 4,12,Normal story,:),"Not just good, I'm great!",Math is easy.,No,Yes,No +1,2019/01/30 8:00:53 PM MST,Teacher 4,13,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:01:45 PM MST,Teacher 4,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/30 8:02:13 PM MST,Teacher 4,15,Normal story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/30 8:03:18 PM MST,Teacher 4,16,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/30 8:04:08 PM MST,Teacher 4,17,Normal story,:),I'm good at math,NA,No,No,No +1,2019/01/30 8:05:01 PM MST,Teacher 4,18,Normal story,:(,I'm okay,Math is hard.,Yes,NA,Yes +1,2019/01/30 8:05:38 PM MST,Teacher 4,20,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/30 8:07:40 PM MST,Teacher 4,21,Normal story,:(,I'm okay,NA,Yes,No,Yes +1,2019/01/30 8:10:57 PM MST,Teacher 4,22,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:12:52 PM MST,Teacher 4,23,Normal story,:(,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/30 8:13:53 PM MST,Teacher 4,24,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:14:54 PM MST,Teacher 4,25,Normal story,:),I'm okay,Math is easy.,No,NA,No +1,2019/01/30 8:18:11 PM MST,Teacher 4,26,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/30 8:18:44 PM MST,Teacher 4,27,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:20:31 PM MST,Teacher 4,29,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:21:47 PM MST,Teacher 4,30,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/30 8:23:37 PM MST,Teacher 4,31,Normal story,:|,I'm okay,Math is fine.,No,NA,No +1,2019/01/31 3:57:35 PM MST,Teacher 4,39,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 3:58:50 PM MST,Teacher 2,41,Math story,:|,Not good,Math is hard.,Yes,Yes,Yes +1,2019/01/31 3:59:47 PM MST,Teacher 2,41,Math story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:00:52 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:03:19 PM MST,Teacher 2,41,Math story,:|,"Not just good, I'm great!",Math is fine.,sometimes,Yes,Yes +1,2019/01/31 4:03:53 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:04:54 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:05:48 PM MST,Teacher 2,41,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:06:26 PM MST,Teacher 2,41,Math story,:(,Not good,Math is hard.,Yes,No,Yes +1,2019/01/31 4:07:07 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,sometimes,No,Yes +1,2019/01/31 4:07:41 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:08:24 PM MST,Teacher 2,41,Math story,:(,Not good,Math is hard.,Yes,Yes,Yes +1,2019/01/31 4:15:16 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,Yes,Yes +1,2019/01/31 4:16:18 PM MST,Teacher 2,41,Math story,:(,"Not just good, I'm great!",Math is easy.,Yes,No,Yes +1,2019/01/31 4:22:01 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:23:37 PM MST,Teacher 2,41,Math story,:(,I'm good at math,Math is fine.,NA,Yes,NA +1,2019/01/31 4:24:30 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/31 4:25:16 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +1,2019/01/31 4:25:58 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:26:52 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:27:31 PM MST,Teacher 2,41,Math story,:),I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:28:38 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:29:29 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is easy.,sometimes,No,Yes +1,2019/01/31 4:30:06 PM MST,Teacher 2,41,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:30:40 PM MST,Teacher 2,41,Math story,:|,I'm good at math,Math is fine.,Yes,No,Yes +1,2019/01/31 4:31:10 PM MST,Teacher 2,41,Math story,:),I'm good at math,Math is easy.,No,No,No +1,2019/01/31 4:31:55 PM MST,Teacher 2,41,Math story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +1,2019/01/31 4:33:03 PM MST,Teacher 2,41,Math story,:(,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:50:54 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:51:39 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +1,2019/01/31 4:52:39 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:53:41 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:54:19 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +1,2019/01/31 4:55:08 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:56:03 PM MST,Teacher 3,44,Normal story,:),I'm good at math,Math is fine.,No,No,No +1,2019/01/31 4:56:54 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,No,No,No +1,2019/01/31 4:58:01 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +1,2019/01/31 4:58:36 PM MST,Teacher 3,44,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 4:59:15 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:01:28 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +1,2019/01/31 5:01:58 PM MST,Teacher 3,44,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:40:20 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:41:18 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:41:47 PM MST,Teacher 3,44,Normal story,:(,I'm good at math,Math is easy.,No,No,No +1,2019/01/31 5:44:15 PM MST,Teacher 3,44,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:48:51 PM MST,Teacher 3,NA,Normal story,:|,I'm good at math,Math is fine.,No,No,No +1,2019/01/31 5:50:49 PM MST,Teacher 3,44,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:53:20 PM MST,Teacher 3,44,Normal story,:|,I'm okay,Math is hard.,NA,NA,NA +1,2019/01/31 5:53:57 PM MST,Teacher 3,44,Normal story,:(,I'm good at math,Math is fine.,No,Yes,No +1,2019/01/31 5:55:05 PM MST,Teacher 3,44,Normal story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +1,2019/01/31 5:55:44 PM MST,Teacher 3,44,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:09:58 PM MST,Teacher 3,13,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:10:19 PM MST,Teacher 3,18,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:10:39 PM MST,Teacher 3,11,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:11:00 PM MST,Teacher 3,22,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:11:20 PM MST,Teacher 3,5,Normal story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:11:41 PM MST,Teacher 3,6,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:12:13 PM MST,Teacher 3,17,Normal story,:|,I'm okay,Math is hard.,sometimes,kind of,Yes +2,2019/02/02 2:12:31 PM MST,Teacher 3,3,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:12:52 PM MST,Teacher 3,27,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:13:19 PM MST,Teacher 3,23,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:13:43 PM MST,Teacher 3,9,Normal story,:|,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:14:08 PM MST,Teacher 3,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:14:28 PM MST,Teacher 3,29,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:14:50 PM MST,Teacher 3,12,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:15:08 PM MST,Teacher 3,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:15:31 PM MST,Teacher 3,19,Normal story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 2:15:53 PM MST,Teacher 3,21,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:16:31 PM MST,Teacher 3,10,Normal story,:|,I'm okay,NA,No,No,No +2,2019/02/02 2:16:52 PM MST,Teacher 3,7,Normal story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:17:16 PM MST,Teacher 3,4,Normal story,:|,I'm good at math,Math is fine.,NA,No,NA +2,2019/02/02 2:17:40 PM MST,Teacher 3,8,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:01 PM MST,Teacher 3,26,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:21 PM MST,Teacher 3,28,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:18:42 PM MST,Teacher 3,24,Normal story,:(,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:19:02 PM MST,Teacher 3,15,Normal story,:(,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:19:20 PM MST,Teacher 3,20,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:19:39 PM MST,Teacher 3,1,Normal story,:(,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:20:05 PM MST,Teacher 3,21,Normal story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:20:33 PM MST,Teacher 4,15,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:21:35 PM MST,Teacher 4,13,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:21:53 PM MST,Teacher 4,17,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:22:17 PM MST,Teacher 4,6,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:22:42 PM MST,Teacher 4,18,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:23:04 PM MST,Teacher 4,7,Normal story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +2,2019/02/02 2:23:26 PM MST,Teacher 4,16,Normal story,:(,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:23:51 PM MST,Teacher 4,2,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:38:06 PM MST,Teacher 4,30,Normal story,NA,NA,NA,NA,NA,NA +2,2019/02/02 2:38:24 PM MST,Teacher 4,22,Normal story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:38:50 PM MST,Teacher 4,23,Normal story,:(,I'm okay,Math is hard.,Yes,Yes,Yes +2,2019/02/02 2:39:31 PM MST,Teacher 4,5,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:39:51 PM MST,Teacher 4,24,Normal story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:40:09 PM MST,Teacher 4,27,Normal story,:|,I'm okay,Math is fine.,No,Yes,No +2,2019/02/02 2:40:27 PM MST,Teacher 4,11,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:40:52 PM MST,Teacher 4,10,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:41:12 PM MST,Teacher 4,25,Normal story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:41:33 PM MST,Teacher 4,26,Normal story,:|,Not good,Math is hard.,Yes,No,Yes +2,2019/02/02 2:41:51 PM MST,Teacher 4,4,Normal story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:42:28 PM MST,Teacher 4,1,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:42:59 PM MST,Teacher 4,19,Normal story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:43:18 PM MST,Teacher 4,28,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:43:39 PM MST,Teacher 4,29,Normal story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:43:58 PM MST,Teacher 4,3,Normal story,:),"Not just good, I'm great!",Math is easy.,Yes,No,Yes +2,2019/02/02 2:44:13 PM MST,Teacher 4,14,Normal story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 2:44:30 PM MST,Teacher 4,20,Normal story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:44:48 PM MST,Teacher 4,8,Normal story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:51:18 PM MST,Teacher 1,4,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:51:39 PM MST,Teacher 1,30,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:52:35 PM MST,Teacher 1,8,Math story,:(,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:53:04 PM MST,Teacher 1,16,Math story,:|,I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:53:32 PM MST,Teacher 1,27,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:53:55 PM MST,Teacher 1,14,Math story,:|,I'm okay,Math is fine.,Yes,Yes,Yes +2,2019/02/02 2:54:12 PM MST,Teacher 1,26,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:54:32 PM MST,Teacher 1,31,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:54:54 PM MST,Teacher 1,13,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:55:21 PM MST,Teacher 1,21,Math story,:|,I'm okay,Math is fine.,NA,No,NA +2,2019/02/02 2:55:39 PM MST,Teacher 1,23,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 2:55:56 PM MST,Teacher 1,11,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:56:11 PM MST,Teacher 1,6,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:56:30 PM MST,Teacher 1,25,Math story,:),I'm good at math,Math is easy.,Yes,No,Yes +2,2019/02/02 2:56:50 PM MST,Teacher 1,2,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:57:04 PM MST,Teacher 1,18,Math story,:|,I'm okay,Math is hard.,No,No,No +2,2019/02/02 2:57:20 PM MST,Teacher 1,7,Math story,:|,"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 2:57:35 PM MST,Teacher 1,19,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 2:57:53 PM MST,Teacher 1,24,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 2:58:09 PM MST,Teacher 1,15,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:58:27 PM MST,Teacher 1,10,Math story,:|,I'm good at math,Math is fine.,No,No,No +2,2019/02/02 2:58:42 PM MST,Teacher 1,22,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 2:59:00 PM MST,Teacher 1,3,Math story,:),I'm good at math,Math is fine.,No,Yes,No +2,2019/02/02 2:59:50 PM MST,Teacher 1,1,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:00:04 PM MST,Teacher 1,20,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:00:21 PM MST,Teacher 1,29,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:01:01 PM MST,Teacher 1,12,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:01:22 PM MST,Teacher 1,5,Math story,:),"Not just good, I'm great!",Math is easy.,Yes,No,Yes +2,2019/02/02 3:01:58 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:02:28 PM MST,Teacher 2,NA,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:03:05 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:03:22 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:03:38 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 3:03:56 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,No,No,No +2,2019/02/02 3:04:11 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:04:26 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,Yes,Yes,Yes +2,2019/02/02 3:04:46 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is fine.,No,No,No +2,2019/02/02 3:05:14 PM MST,Teacher 2,NA,Math story,:(,Not good,Math is hard.,Yes,Yes,Yes +2,2019/02/02 3:05:37 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:06:11 PM MST,Teacher 2,NA,Math story,:),"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:06:51 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,NA,No,NA +2,2019/02/02 3:07:10 PM MST,Teacher 2,NA,Math story,:|,"Not just good, I'm great!",Math is easy.,No,No,No +2,2019/02/02 3:07:50 PM MST,Teacher 2,NA,Math story,:),I'm good at math,Math is easy.,No,No,No +2,2019/02/02 3:08:40 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:08:58 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 3:09:26 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,sometimes,No,Yes +2,2019/02/02 3:09:48 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:10:15 PM MST,Teacher 2,NA,Math story,:(,"Not just good, I'm great!",Math is fine.,Yes,No,Yes +2,2019/02/02 3:10:33 PM MST,Teacher 2,NA,Math story,:|,I'm okay,Math is fine.,Yes,No,Yes +2,2019/02/02 3:10:49 PM MST,Teacher 2,NA,Math story,:(,I'm okay,Math is hard.,Yes,No,Yes +2,2019/02/02 3:11:17 PM MST,Teacher 2,NA,Math story,:|,I'm good at math,Math is fine.,sometimes,Yes,Yes +2,2019/02/02 3:11:35 PM MST,Teacher 2,NA,Math story,:),I'm okay,Math is fine.,No,No,No +2,2019/02/02 3:11:54 PM MST,Teacher 2,NA,Math story,:(,Not good,Math is hard.,Yes,No,Yes diff --git a/docs/projects/week-8/data/mosquito_nets.csv b/docs/projects/week-8/data/mosquito_nets.csv new file mode 100644 index 00000000..007122a7 --- /dev/null +++ b/docs/projects/week-8/data/mosquito_nets.csv @@ -0,0 +1,1753 @@ +id,net,net_num,malaria_risk,income,health,household,eligible,temperature,resistance +1,TRUE,1,33,781,56,2,FALSE,21.1,59 +2,FALSE,0,42,974,57,4,FALSE,26.5,73 +3,FALSE,0,80,502,15,3,FALSE,25.6,65 +4,TRUE,1,34,671,20,5,TRUE,21.3,46 +5,FALSE,0,44,728,17,5,FALSE,19.2,54 +6,FALSE,0,25,1050,48,1,FALSE,25.3,34 +7,TRUE,1,19,1146,65,3,FALSE,27.4,45 +8,FALSE,0,35,1093,75,5,FALSE,29.8,65 +9,FALSE,0,32,1037,60,3,FALSE,27.6,55 +10,FALSE,0,40,828,36,3,FALSE,21.3,54 +11,FALSE,0,30,889,75,6,FALSE,17.4,33 +12,TRUE,1,14,1133,62,3,FALSE,18.9,39 +13,TRUE,1,31,807,42,4,FALSE,27.6,37 +14,FALSE,0,34,950,53,3,FALSE,24,53 +15,FALSE,0,22,1195,90,1,FALSE,24.5,34 +16,TRUE,1,54,594,29,5,TRUE,25.5,55 +17,TRUE,1,23,936,47,2,FALSE,26.1,32 +18,FALSE,0,41,816,30,1,FALSE,17.7,73 +19,FALSE,0,37,962,55,2,FALSE,26.7,54 +20,TRUE,1,65,431,6,6,TRUE,26.8,38 +21,FALSE,0,59,760,36,5,FALSE,28.7,51 +22,FALSE,0,59,655,30,4,FALSE,23.6,43 +23,FALSE,0,41,896,45,3,FALSE,25.9,53 +24,TRUE,1,21,1033,64,7,FALSE,23.4,51 +25,FALSE,0,25,1115,62,3,FALSE,27.3,33 +26,FALSE,0,27,1139,75,4,FALSE,30.7,37 +27,TRUE,1,23,967,71,3,FALSE,21.1,52 +28,TRUE,1,26,840,37,3,FALSE,17.8,71 +29,FALSE,0,35,946,49,2,FALSE,22.7,63 +30,FALSE,0,50,698,25,2,FALSE,22.4,39 +31,TRUE,1,50,580,37,6,TRUE,20.3,59 +32,FALSE,0,50,762,20,5,FALSE,26.2,47 +33,TRUE,1,29,894,53,4,FALSE,26.7,52 +34,FALSE,0,30,907,40,4,FALSE,20.3,51 +35,FALSE,0,66,682,22,1,FALSE,23.2,84 +36,TRUE,1,27,829,67,3,FALSE,22.5,31 +37,FALSE,0,51,772,41,4,FALSE,24.5,49 +38,FALSE,0,48,730,55,2,FALSE,22.9,23 +39,FALSE,0,32,984,51,2,FALSE,24.4,56 +40,TRUE,1,21,1016,40,2,FALSE,22.7,63 +41,FALSE,0,76,641,56,2,FALSE,26.7,68 +42,FALSE,0,59,656,41,3,FALSE,27.1,21 +43,TRUE,1,21,963,53,3,FALSE,18.7,53 +44,TRUE,1,35,840,41,2,FALSE,26.6,70 +45,FALSE,0,25,1110,78,2,FALSE,23.2,42 +46,TRUE,1,31,737,76,2,FALSE,16.8,45 +47,FALSE,0,48,827,52,2,FALSE,25.3,47 +48,FALSE,0,52,810,48,3,FALSE,26.3,53 +49,TRUE,1,29,857,46,2,FALSE,24,57 +50,TRUE,1,13,1307,67,5,FALSE,21.8,66 +51,TRUE,1,26,915,56,1,FALSE,25.7,46 +52,FALSE,0,39,826,59,3,FALSE,18,50 +53,FALSE,0,46,825,41,4,FALSE,18.7,82 +54,FALSE,0,52,864,49,1,FALSE,29.8,54 +55,FALSE,0,26,1053,64,3,FALSE,22,50 +56,FALSE,0,36,822,33,2,FALSE,23.8,29 +57,FALSE,0,53,631,15,1,FALSE,18.9,48 +58,FALSE,0,27,1000,52,4,FALSE,22.1,45 +59,FALSE,0,48,766,60,5,FALSE,20.3,47 +60,FALSE,0,37,893,52,2,FALSE,24.6,40 +61,FALSE,0,21,1130,55,3,FALSE,22.1,38 +62,FALSE,0,19,1222,65,1,FALSE,23,38 +63,FALSE,0,35,1036,69,2,FALSE,30.8,45 +64,FALSE,0,49,817,35,2,FALSE,23.6,67 +65,FALSE,0,61,743,26,4,FALSE,27.7,62 +66,FALSE,0,19,1293,82,3,FALSE,25.5,43 +67,FALSE,0,36,732,21,4,FALSE,19.6,24 +68,FALSE,0,40,869,52,4,FALSE,26.1,36 +69,TRUE,1,27,735,31,4,FALSE,18.6,41 +70,TRUE,1,14,1194,70,3,FALSE,19.2,49 +71,TRUE,1,13,1259,61,4,FALSE,24.9,38 +72,FALSE,0,61,763,35,3,FALSE,25.7,76 +73,FALSE,0,43,789,43,4,FALSE,21.4,44 +74,TRUE,1,15,1235,88,1,FALSE,25.4,31 +75,FALSE,0,27,1003,39,3,FALSE,23.5,46 +76,FALSE,0,38,796,43,2,FALSE,20.7,34 +77,FALSE,0,45,934,64,2,FALSE,28.9,50 +78,FALSE,0,24,1047,71,3,FALSE,17.2,51 +79,TRUE,1,30,812,44,2,FALSE,24.4,53 +80,FALSE,0,26,960,35,1,FALSE,24,25 +81,FALSE,0,29,1044,58,2,FALSE,26.7,51 +82,FALSE,0,38,927,55,3,FALSE,24.8,52 +83,TRUE,1,14,1229,77,3,FALSE,24.4,28 +84,FALSE,0,31,1152,83,4,FALSE,31.2,61 +85,TRUE,1,13,1270,78,1,FALSE,18.5,59 +86,TRUE,1,19,1137,59,3,FALSE,21.1,80 +87,FALSE,0,45,704,30,7,FALSE,17.1,50 +88,FALSE,0,49,830,44,5,FALSE,27.3,48 +89,TRUE,1,58,666,44,5,TRUE,32,49 +90,FALSE,0,41,929,37,2,FALSE,30.4,49 +91,FALSE,0,24,1041,69,1,FALSE,21.9,22 +92,FALSE,0,38,909,67,3,FALSE,27.7,24 +93,FALSE,0,43,885,35,2,FALSE,29.1,47 +94,FALSE,0,61,765,45,3,FALSE,31.5,39 +95,TRUE,1,20,1082,71,2,FALSE,24.4,48 +96,FALSE,0,30,781,39,2,FALSE,17.9,18 +97,FALSE,0,27,927,56,4,FALSE,19.2,27 +98,FALSE,0,27,945,24,1,FALSE,23.4,32 +99,TRUE,1,13,1422,97,3,FALSE,25.6,61 +100,TRUE,1,26,969,65,3,FALSE,30,32 +101,FALSE,0,39,845,35,3,FALSE,25.4,36 +102,TRUE,1,20,1106,94,2,FALSE,22.9,49 +103,TRUE,1,44,582,36,3,FALSE,19.9,43 +104,TRUE,1,20,986,44,6,FALSE,20.9,50 +105,FALSE,0,42,902,29,3,FALSE,23.4,80 +106,TRUE,1,24,910,53,5,FALSE,25,32 +107,FALSE,0,61,711,53,5,FALSE,25.8,43 +108,TRUE,1,18,982,51,3,FALSE,18.1,40 +109,FALSE,0,30,935,26,3,FALSE,20.1,69 +110,FALSE,0,22,1066,55,2,FALSE,20.1,37 +111,TRUE,1,15,1211,83,5,FALSE,21.5,46 +112,TRUE,1,42,647,30,2,FALSE,20.6,59 +113,TRUE,1,30,665,32,1,FALSE,19.2,33 +114,FALSE,0,29,1053,64,6,FALSE,21.8,71 +115,FALSE,0,34,1008,66,4,FALSE,26.1,57 +116,FALSE,0,29,835,13,2,FALSE,20.8,33 +117,FALSE,0,45,890,56,3,FALSE,26.3,54 +118,FALSE,0,43,917,43,6,FALSE,30.7,45 +119,TRUE,1,13,1220,71,3,FALSE,17.7,52 +120,TRUE,1,23,961,43,2,FALSE,25.6,46 +121,FALSE,0,33,913,59,3,FALSE,18.2,63 +122,TRUE,1,40,663,40,2,FALSE,25.3,29 +123,FALSE,0,33,861,49,2,FALSE,20.2,40 +124,TRUE,1,24,958,30,2,FALSE,28.6,44 +125,TRUE,1,58,592,40,2,FALSE,30.3,34 +126,FALSE,0,32,1002,69,7,FALSE,28.5,33 +127,TRUE,1,24,959,65,2,FALSE,22.8,47 +128,FALSE,0,46,826,40,1,FALSE,26.2,46 +129,FALSE,0,57,695,44,2,FALSE,29.6,12 +130,FALSE,0,23,1261,91,4,FALSE,26.3,62 +131,TRUE,1,14,1274,62,3,FALSE,24.1,51 +132,TRUE,1,32,854,48,5,FALSE,22.5,81 +133,TRUE,1,16,1246,81,3,FALSE,24,57 +134,TRUE,1,27,859,51,4,FALSE,23.8,41 +135,FALSE,0,29,1176,79,3,FALSE,26.1,87 +136,FALSE,0,43,1048,55,3,FALSE,29.5,87 +137,TRUE,1,14,1222,73,4,FALSE,23.5,31 +138,FALSE,0,28,1166,57,4,FALSE,32.1,54 +139,FALSE,0,40,726,39,6,FALSE,15.6,45 +140,FALSE,0,39,942,60,3,FALSE,26.2,50 +141,FALSE,0,42,794,54,2,FALSE,18.2,51 +142,TRUE,1,15,1046,59,3,FALSE,16.4,30 +143,FALSE,0,39,887,52,1,FALSE,23.3,52 +144,FALSE,0,30,1067,55,2,FALSE,25.8,72 +145,FALSE,0,49,758,43,4,FALSE,22.5,45 +146,FALSE,0,55,707,47,2,FALSE,22.1,45 +147,FALSE,0,39,873,44,2,FALSE,19.9,67 +148,TRUE,1,22,1142,83,1,FALSE,28.4,60 +149,FALSE,0,30,920,45,2,FALSE,26.1,25 +150,TRUE,1,20,998,40,4,FALSE,21.3,51 +151,TRUE,1,22,1124,60,4,FALSE,26.9,71 +152,FALSE,0,44,852,41,3,FALSE,22.1,67 +153,TRUE,1,19,1051,71,2,FALSE,18.3,53 +154,FALSE,0,24,1080,71,2,FALSE,18.4,58 +155,TRUE,1,11,1396,97,1,FALSE,23.6,31 +156,TRUE,1,44,750,42,2,FALSE,29.2,52 +157,TRUE,1,12,1226,73,3,FALSE,17.7,34 +158,FALSE,0,42,785,34,2,FALSE,22.1,41 +159,FALSE,0,60,718,23,3,FALSE,25.9,61 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+1713,FALSE,0,47,771,47,1,FALSE,22.8,41 +1714,FALSE,0,54,803,62,5,FALSE,24.2,57 +1715,TRUE,1,25,816,52,2,FALSE,17.3,44 +1716,FALSE,0,44,751,45,5,FALSE,21.8,31 +1717,FALSE,0,47,984,49,3,FALSE,30.6,78 +1718,FALSE,0,40,833,43,3,FALSE,19.9,57 +1719,TRUE,1,16,1296,80,6,FALSE,25.6,75 +1720,FALSE,0,28,1014,70,1,FALSE,18.1,65 +1721,TRUE,1,23,893,54,4,FALSE,20.1,39 +1722,TRUE,1,26,861,46,2,FALSE,22.8,42 +1723,TRUE,1,14,1222,86,3,FALSE,22.8,27 +1724,FALSE,0,34,923,44,2,FALSE,22.4,58 +1725,FALSE,0,50,843,59,1,FALSE,22.3,70 +1726,TRUE,1,42,745,37,4,FALSE,32,35 +1727,FALSE,0,37,771,42,2,FALSE,19.4,31 +1728,TRUE,1,16,1247,75,3,FALSE,24.4,60 +1729,TRUE,1,22,930,43,3,FALSE,24.2,26 +1730,TRUE,1,18,1080,51,2,FALSE,17.9,74 +1731,TRUE,1,29,832,57,7,FALSE,22.2,56 +1732,TRUE,1,26,770,36,3,FALSE,22.2,24 +1733,FALSE,0,26,972,45,1,FALSE,17.1,53 +1734,FALSE,0,41,786,44,5,FALSE,18.7,49 +1735,FALSE,0,36,857,62,5,FALSE,25.6,13 +1736,FALSE,0,37,989,50,3,FALSE,30.6,47 +1737,FALSE,0,83,444,29,2,FALSE,27.9,39 +1738,TRUE,1,26,829,49,4,FALSE,21.8,35 +1739,FALSE,0,39,954,70,6,FALSE,25.7,51 +1740,FALSE,0,53,824,34,4,FALSE,27.9,60 +1741,TRUE,1,19,1149,69,1,FALSE,21.7,72 +1742,TRUE,1,16,1146,74,6,FALSE,26.9,11 +1743,TRUE,1,27,780,48,3,FALSE,16.3,58 +1744,FALSE,0,35,847,36,1,FALSE,23.4,34 +1745,TRUE,1,49,570,12,2,FALSE,20.9,64 +1746,FALSE,0,31,970,49,1,FALSE,24.3,52 +1747,FALSE,0,67,592,37,4,FALSE,18.8,68 +1748,TRUE,1,18,961,27,4,FALSE,22.1,27 +1749,FALSE,0,49,906,49,5,FALSE,30.7,55 +1750,FALSE,0,17,1325,92,2,FALSE,21.4,52 +1751,FALSE,0,46,879,33,6,FALSE,27.4,62 +1752,TRUE,1,13,1339,77,4,FALSE,27.7,44 diff --git a/docs/projects/week-8/data/organ_donations.csv b/docs/projects/week-8/data/organ_donations.csv new file mode 100644 index 00000000..57f1a83d --- /dev/null +++ b/docs/projects/week-8/data/organ_donations.csv @@ -0,0 +1,163 @@ +State,Quarter,Rate,Quarter_Num +Alaska,Q42010,0.75,1 +Alaska,Q12011,0.77,2 +Alaska,Q22011,0.77,3 +Alaska,Q32011,0.78,4 +Alaska,Q42011,0.78,5 +Alaska,Q12012,0.79,6 +Arizona,Q42010,0.2634,1 +Arizona,Q12011,0.20920000000000002,2 +Arizona,Q22011,0.2261,3 +Arizona,Q32011,0.2503,4 +Arizona,Q42011,0.2351,5 +Arizona,Q12012,0.2587,6 +California,Q42010,0.2666,1 +California,Q12011,0.2731,2 +California,Q22011,0.2743,3 +California,Q32011,0.2636,4 +California,Q42011,0.2607,5 +California,Q12012,0.2641,6 +Colorado,Q42010,0.6653,1 +Colorado,Q12011,0.6674,2 +Colorado,Q22011,0.6736,3 +Colorado,Q32011,0.6715000000000001,4 +Colorado,Q42011,0.6698999999999999,5 +Colorado,Q12012,0.6594,6 +Connecticut,Q42010,0.39049999999999996,1 +Connecticut,Q12011,0.38530000000000003,2 +Connecticut,Q22011,0.39520000000000005,3 +Connecticut,Q32011,0.4031,4 +Connecticut,Q42011,0.3864,5 +Connecticut,Q12012,0.39840000000000003,6 +District of Columbia,Q42010,0.3319,1 +District of Columbia,Q12011,0.2866,2 +District of Columbia,Q22011,0.29510000000000003,3 +District of Columbia,Q32011,0.40240000000000004,4 +District of Columbia,Q42011,0.3791,5 +District of Columbia,Q12012,0.36460000000000004,6 +Florida,Q42010,0.3753,1 +Florida,Q12011,0.3795,2 +Florida,Q22011,0.3947,3 +Florida,Q32011,0.4181,4 +Florida,Q42011,0.40369999999999995,5 +Florida,Q12012,0.40700000000000003,6 +Hawaii,Q42010,0.41700000000000004,1 +Hawaii,Q12011,0.4105,2 +Hawaii,Q22011,0.42710000000000004,3 +Hawaii,Q32011,0.4294,4 +Hawaii,Q42011,0.4307,5 +Hawaii,Q12012,0.4108,6 +Louisiana,Q42010,0.5372,1 +Louisiana,Q12011,0.546,2 +Louisiana,Q22011,0.5619,3 +Louisiana,Q32011,0.5949,4 +Louisiana,Q42011,0.551,5 +Louisiana,Q12012,0.5486,6 +Maryland,Q42010,0.4635,1 +Maryland,Q12011,0.45289999999999997,2 +Maryland,Q22011,0.4679,3 +Maryland,Q32011,0.45899999999999996,4 +Maryland,Q42011,0.495,5 +Maryland,Q12012,0.456,6 +Michigan,Q42010,0.1563,1 +Michigan,Q12011,0.1491,2 +Michigan,Q22011,0.1923,3 +Michigan,Q32011,0.24609999999999999,4 +Michigan,Q42011,0.22940000000000002,5 +Michigan,Q12012,0.4216,6 +Minnesota,Q42010,0.5357999999999999,1 +Minnesota,Q12011,0.5173,2 +Minnesota,Q22011,0.5202,3 +Minnesota,Q32011,0.5246,4 +Minnesota,Q42011,0.528,5 +Minnesota,Q12012,0.5398,6 +Missouri,Q42010,0.4025,1 +Missouri,Q12011,0.3987,2 +Missouri,Q22011,0.40630000000000005,3 +Missouri,Q32011,0.4089,4 +Missouri,Q42011,0.415,5 +Missouri,Q12012,0.4127,6 +Montana,Q42010,0.6429,1 +Montana,Q12011,0.6406000000000001,2 +Montana,Q22011,0.6578,3 +Montana,Q32011,0.6683,4 +Montana,Q42011,0.6674,5 +Montana,Q12012,0.6523,6 +Nebraska,Q42010,0.45409999999999995,1 +Nebraska,Q12011,0.4337,2 +Nebraska,Q22011,0.436,3 +Nebraska,Q32011,0.44049999999999995,4 +Nebraska,Q42011,0.4389,5 +Nebraska,Q12012,0.45189999999999997,6 +New Hampshire,Q42010,0.5576,1 +New Hampshire,Q12011,0.5594,2 +New Hampshire,Q22011,0.5643,3 +New Hampshire,Q32011,0.5334,4 +New Hampshire,Q42011,0.5247999999999999,5 +New Hampshire,Q12012,0.5253,6 +New Jersey,Q42010,0.3037,1 +New Jersey,Q12011,0.3109,2 +New Jersey,Q22011,0.3039,3 +New Jersey,Q32011,0.3109,4 +New Jersey,Q42011,0.3127,5 +New Jersey,Q12012,0.33340000000000003,6 +New York,Q42010,0.1249,1 +New York,Q12011,0.1267,2 +New York,Q22011,0.13140000000000002,3 +New York,Q32011,0.1451,4 +New York,Q42011,0.1277,5 +New York,Q12012,0.1229,6 +North Carolina,Q42010,0.5239,1 +North Carolina,Q12011,0.519,2 +North Carolina,Q22011,0.532,3 +North Carolina,Q32011,0.534,4 +North Carolina,Q42011,0.5284,5 +North Carolina,Q12012,0.5126,6 +Ohio,Q42010,0.5545,1 +Ohio,Q12011,0.5593,2 +Ohio,Q22011,0.5700999999999999,3 +Ohio,Q32011,0.5700999999999999,4 +Ohio,Q42011,0.5751,5 +Ohio,Q12012,0.5645,6 +Pennsylvania,Q42010,0.4531,1 +Pennsylvania,Q12011,0.4536,2 +Pennsylvania,Q22011,0.45530000000000004,3 +Pennsylvania,Q32011,0.4559,4 +Pennsylvania,Q42011,0.4551,5 +Pennsylvania,Q12012,0.45270000000000005,6 +South Carolina,Q42010,0.30829999999999996,1 +South Carolina,Q12011,0.26170000000000004,2 +South Carolina,Q22011,0.2556,3 +South Carolina,Q32011,0.2641,4 +South Carolina,Q42011,0.2966,5 +South Carolina,Q12012,0.228,6 +Tennessee,Q42010,0.3268,1 +Tennessee,Q12011,0.3249,2 +Tennessee,Q22011,0.3382,3 +Tennessee,Q32011,0.3428,4 +Tennessee,Q42011,0.3385,5 +Tennessee,Q12012,0.34,6 +Virginia,Q42010,0.2645,1 +Virginia,Q12011,0.36229999999999996,2 +Virginia,Q22011,0.3455,3 +Virginia,Q32011,0.359,4 +Virginia,Q42011,0.3443,5 +Virginia,Q12012,0.3701,6 +Washington,Q42010,0.5811,1 +Washington,Q12011,0.5893,2 +Washington,Q22011,0.5882000000000001,3 +Washington,Q32011,0.5846,4 +Washington,Q42011,0.5842,5 +Washington,Q12012,0.5947,6 +Wisconsin,Q42010,0.5735,1 +Wisconsin,Q12011,0.5710000000000001,2 +Wisconsin,Q22011,0.5720000000000001,3 +Wisconsin,Q32011,0.5688,4 +Wisconsin,Q42011,0.5660000000000001,5 +Wisconsin,Q12012,0.5814,6 +Wyoming,Q42010,0.5931000000000001,1 +Wyoming,Q12011,0.5946,2 +Wyoming,Q22011,0.5937,3 +Wyoming,Q32011,0.5911,4 +Wyoming,Q42011,0.5854,5 +Wyoming,Q12012,0.5881000000000001,6 diff --git a/docs/projects/week-8/data/world_happiness.csv b/docs/projects/week-8/data/world_happiness.csv new file mode 100644 index 00000000..4d3afdde --- /dev/null +++ b/docs/projects/week-8/data/world_happiness.csv @@ -0,0 +1,218 @@ +iso2c,happiness_score,happiness_se,country,year,school_enrollment,life_expectancy,access_to_electricity,gdp_per_cap,region,income +AD,NA,NA,Andorra,2015,NA,NA,100,41765.9203531235,Europe & Central Asia,High income +AE,6.901,0.03729,United Arab Emirates,2015,93.3894271850586,77.101,100,40753.8863426086,Middle East & North Africa,High income +AF,3.575,0.03084,Afghanistan,2015,NA,63.288,71.5,620.05652498092,South Asia,Low income +AG,NA,NA,Antigua and Barbuda,2015,78.57763671875,76.207,96.8262939453125,12771.7675773519,Latin America & Caribbean ,High income +AL,4.959,0.05013,Albania,2015,95.1996002197266,78.174,100,4524.64443153606,Europe & Central Asia,Upper middle income +AM,4.35,0.04763,Armenia,2015,92.4729690551758,74.445,100,3935.28877242969,Europe & Central Asia,Lower middle income +AO,4.033,0.04758,Angola,2015,NA,61.241,42,3729.0035408607,Sub-Saharan Africa ,Lower middle income +AR,6.574,0.04612,Argentina,2015,99.3935928344727,76.415,99.9952087402344,10498.5925297592,Latin America & Caribbean ,Upper middle income +AS,NA,NA,American Samoa,2015,NA,NA,NA,9884.11186605049,East Asia & Pacific,Upper middle income +AT,7.2,0.03751,Austria,2015,NA,81.190243902439,100,47905.5431541607,Europe & Central Asia,High income +AU,7.284,0.04083,Australia,2015,96.992561340332,82.4,100,55017.2480239931,East Asia & Pacific,High income +AW,NA,NA,Aruba,2015,NA,75.725,95.2381820678711,NA,Latin America & Caribbean ,High income +AZ,5.212,0.03363,Azerbaijan,2015,94.1426467895508,71.921,100,6117.03086236702,Europe & Central Asia,Upper middle income +BA,4.949,0.06913,Bosnia and Herzegovina,2015,NA,76.735,100,5190.29377671129,Europe & Central Asia,Upper middle income +BB,NA,NA,Barbados,2015,90.9252700805664,75.755,100,15998.0488021541,Latin America & Caribbean ,High income +BD,4.694,0.03077,Bangladesh,2015,NA,72.155,68.2046813964844,971.641988030431,South Asia,Lower middle income +BE,6.937,0.03595,Belgium,2015,98.0646820068359,80.9926829268293,100,45052.3653466121,Europe & Central Asia,High income +BF,3.587,0.04324,Burkina Faso,2015,69.389762878418,59.927,18.4700813293457,645.369860580495,Sub-Saharan Africa ,Low income +BG,4.218,0.048280000000000003,Bulgaria,2015,93.1626510620117,74.6146341463415,100,7612.02236422436,Europe & Central Asia,Upper middle income +BH,5.96,0.05412,Bahrain,2015,96.4248962402344,76.761,100,22436.2075318381,Middle East & North Africa,High income +BI,2.905,0.08658,Burundi,2015,NA,57.094,7.25208950042725,226.528058204677,Sub-Saharan Africa ,Low income +BJ,3.34,0.03656,Benin,2015,NA,60.639,40.0334777832031,827.835457935714,Sub-Saharan Africa ,Low income +BM,NA,NA,Bermuda,2015,NA,81.0121951219512,100,NA,North America,High income +BN,NA,NA,Brunei Darussalam,2015,92.2643127441406,77.046,100,32661.8570180811,East Asia & Pacific,High income +BO,5.89,0.05642,Bolivia,2015,88.4827880859375,68.756,91.522822,2392.98397316016,Latin America & Caribbean ,Lower middle income +BR,6.983,0.04076,Brazil,2015,92.6971282958984,75.284,99.710902,11351.5657481703,Latin America & Caribbean ,Upper middle income +BS,NA,NA,"Bahamas, The",2015,NA,75.527,100,27198.9076041403,Latin America & Caribbean ,High income +BT,5.253,0.03225,Bhutan,2015,82.7784729003906,69.817,98.4235229492188,2628.18961406612,South Asia,Lower middle income +BW,4.332,0.04934,Botswana,2015,NA,65.846,58.528751373291,7308.76062059972,Sub-Saharan Africa ,Upper middle income +BY,5.813,0.03938,Belarus,2015,94.3454208374023,73.6243902439025,100,6398.68973515141,Europe & Central Asia,Upper middle income +BZ,NA,NA,Belize,2015,96.1411590576172,70.192,91.8,4482.4966466489,Latin America & Caribbean ,Upper middle income +CA,7.427,0.03553,Canada,2015,99.5980987548828,82.1290243902439,100,50303.8368476727,North America,High income +CD,4.517,0.0368,"Congo, Dem. Rep.",2015,NA,59.205,16.4191646575928,411.279136004484,Sub-Saharan Africa ,Low income +CF,3.678,0.06112,Central African Republic,2015,NA,51.41,13.3844232559204,314.926685576165,Sub-Saharan Africa ,Low income +CG,3.989,0.06682,"Congo, Rep.",2015,NA,64.112,60.4,2925.5277484266,Sub-Saharan Africa ,Lower middle income +CH,7.587,0.03411,Switzerland,2015,93.3190002441406,82.8975609756098,100,76472.4594877065,Europe & Central Asia,High income +CI,3.655,0.05141,Cote d'Ivoire,2015,77.7036590576172,53.053,64.0861968994141,1469.7301783458,Sub-Saharan Africa ,Lower middle income +CL,6.67,0.058,Chile,2015,91.5956573486328,79.315,99.714844,14893.8806507667,Latin America & Caribbean ,High income +CM,4.252,0.04678,Cameroon,2015,NA,57.582,58.8651008605957,1469.6377414656,Sub-Saharan Africa ,Lower middle income +CN,5.14,0.02424,China,2015,NA,76.092,100,6496.62401255517,East Asia & Pacific,Upper middle income +CO,6.477,0.05051,Colombia,2015,90.6045684814453,74.2,98.186898,7446.18240080804,Latin America & Caribbean ,Upper middle income +CR,7.226,0.04454,Costa Rica,2015,96.3094024658203,79.634,99.409804,9296.00210687584,Latin America & Caribbean ,Upper middle income +CU,NA,NA,Cuba,2015,95.3591003417969,79.57,100,6444.98011316934,Latin America & Caribbean ,Upper middle income +CV,NA,NA,Cabo Verde,2015,86.9075622558594,72.599,90.2439041137695,3362.20996800003,Sub-Saharan Africa ,Lower middle income +CW,NA,NA,Curacao,2015,NA,NA,100,NA,Latin America & Caribbean ,High income +CY,5.695,0.05635,Cyprus,2015,97.368522644043,80.344,100,27738.503250141,Europe & Central Asia,High income +CY,5.689,0.0558,Cyprus,2015,97.368522644043,80.344,100,27738.503250141,Europe & Central Asia,High income +CZ,6.505,0.04168,Czech Republic,2015,NA,78.5780487804878,100,21381.703080832,Europe & Central Asia,High income +DE,6.75,0.01848,Germany,2015,98.6923904418945,80.6414634146341,100,45412.5568082313,Europe & Central Asia,High income +DJ,4.369,0.08096,Djibouti,2015,55.5927391052246,62.26,52.0257759094238,NA,Middle East & North Africa,Lower middle income +DK,7.527,0.03328,Denmark,2015,98.3776016235352,80.7024390243902,100,59967.742823222,Europe & Central Asia,High income +DM,NA,NA,Dominica,2015,NA,NA,99.9029693603516,6738.66124472604,Latin America & Caribbean ,Upper middle income +DO,4.885,0.07446,Dominican Republic,2015,86.8852005004883,73.673,98.560364,6562.76709405155,Latin America & Caribbean ,Upper middle income +DZ,5.605,0.05099,Algeria,2015,97.508171081543,75.86,99.3367080688477,4759.5952415194,Middle East & North Africa,Upper middle income +EC,5.975,0.04528,Ecuador,2015,91.273078918457,76.102,98.825883,5352.87645717309,Latin America & Caribbean ,Upper middle income +EE,5.429,0.04013,Estonia,2015,93.3299179077148,77.590243902439,100,17733.9576552073,Europe & Central Asia,High income +EG,4.194,0.0326,"Egypt, Arab Rep.",2015,NA,71.304,100,2665.35161379275,Middle East & North Africa,Lower middle income +ER,NA,NA,Eritrea,2015,42.4331512451172,64.636,45.5133209228516,NA,Sub-Saharan Africa ,Low income +ES,6.329,0.03468,Spain,2015,98.8577575683594,82.8317073170732,100,30532.4499736572,Europe & Central Asia,High income +ET,4.512,0.0378,Ethiopia,2015,85.4387130737305,65.037,33.4185905456543,487.290010568135,Sub-Saharan Africa ,Low income +FI,7.406,0.0314,Finland,2015,99.1075210571289,81.4804878048781,100,45151.5121556712,Europe & Central Asia,High income +FJ,NA,NA,Fiji,2015,97.6449813842773,70.117,97.1194915771484,4211.05887799892,East Asia & Pacific,Upper middle income +FM,NA,NA,"Micronesia, Fed. Sts.",2015,84.0091705322266,69.078,73.5542297363281,2838.86966486719,East Asia & Pacific,Lower middle income +FO,NA,NA,Faroe Islands,2015,NA,81.990243902439,100,NA,Europe & Central Asia,High income +FR,6.575,0.03512,France,2015,98.7196502685547,82.2731707317073,100,41642.3104260915,Europe & Central Asia,High income +GA,3.896,0.045469999999999997,Gabon,2015,NA,65.685,90.3074722290039,9598.44125205238,Sub-Saharan Africa ,Upper middle income +GB,6.867,0.01866,United Kingdom,2015,99.9419708251953,80.9560975609756,100,41536.919115035504,Europe & Central Asia,High income +GD,NA,NA,Grenada,2015,95.7486190795898,73.531,91.8716888427734,8406.77483120468,Latin America & Caribbean ,Upper middle income +GE,4.297,0.04221,Georgia,2015,99.4654998779297,73.096,99.9934997558594,3973.21934830931,Europe & Central Asia,Lower middle income +GH,4.633,0.04742,Ghana,2015,89.5388336181641,62.448,75.7152786254883,1684.7275781517,Sub-Saharan Africa ,Lower middle income +GI,NA,NA,Gibraltar,2015,NA,NA,100,NA,Europe & Central Asia,High income +GL,NA,NA,Greenland,2015,NA,NA,100,46738.0622579051,Europe & Central Asia,High income +GM,NA,NA,"Gambia, The",2015,73.0555725097656,60.954,46.4866638183594,536.414127007992,Sub-Saharan Africa ,Low income +GN,3.656,0.0359,Guinea,2015,NA,59.419,30.9631519317627,723.870308781183,Sub-Saharan Africa ,Low income +GQ,NA,NA,Equatorial Guinea,2015,43.3441886901855,57.434,67.473747253418,14001.5991259087,Sub-Saharan Africa ,Upper middle income +GR,4.857,0.05062,Greece,2015,93.5766220092773,81.0365853658537,100,22648.7698813993,Europe & Central Asia,High income +GT,6.123,0.05224,Guatemala,2015,85.2160873413086,73.15,90.5062942504883,3069.04351844254,Latin America & Caribbean ,Lower middle income +GU,NA,NA,Guam,2015,NA,79.379,100,32119.6520805371,East Asia & Pacific,High income +GW,NA,NA,Guinea-Bissau,2015,NA,57,14.0046701431274,564.729954904838,Sub-Saharan Africa ,Low income +GY,NA,NA,Guyana,2015,NA,66.536,83.5683517456055,3684.92358504666,Latin America & Caribbean ,Upper middle income +HK,5.474,0.05051,"Hong Kong SAR, China",2015,93.9282379150391,84.2780487804878,100,36260.5954574462,East Asia & Pacific,High income +HN,4.788,0.05648,Honduras,2015,80.8588333129883,73.376,89.98171,2102.37695924737,Latin America & Caribbean ,Lower middle income +HR,5.759,0.04394,Croatia,2015,88.810661315918,77.2756097560976,100,14088.075100021,Europe & Central Asia,Upper middle income +HT,4.518,0.07331,Haiti,2015,NA,63.055,38.2211265563965,728.063224553949,Latin America & Caribbean ,Low income +HU,4.8,0.06107,Hungary,2015,91.2168884277344,75.5682926829269,100,14629.2350325735,Europe & Central Asia,High income +ID,5.399,0.02596,Indonesia,2015,NA,69.025,97.5373674369822,3827.55077886415,East Asia & Pacific,Lower middle income +IE,6.94,0.03676,Ireland,2015,95.489143371582,81.4536585365854,100,67229.1916860972,Europe & Central Asia,High income +IL,7.278,0.0347,Israel,2015,97.2036514282227,82.0512195121951,100,32993.3142755677,Middle East & North Africa,High income +IM,NA,NA,Isle of Man,2015,NA,NA,100,84046.136016161,Europe & Central Asia,High income +IN,4.565,0.02043,India,2015,NA,68.302,88,1758.83777674579,South Asia,Lower middle income +IQ,4.677,0.05232,Iraq,2015,NA,69.672,99.8621826171875,5336.64828740669,Middle East & North Africa,Upper middle income +IR,4.686,0.04449,"Iran, Islamic Rep.",2015,99.3368988037109,75.73,99.9750518798828,6007.00489252089,Middle East & North Africa,Upper middle income +IS,7.561,0.04884,Iceland,2015,98.5670776367188,82.4682926829268,100,46221.9325708441,Europe & Central Asia,High income +IT,5.948,0.03914,Italy,2015,97.3316192626953,82.5439024390244,100,33968.7039603496,Europe & Central Asia,High income +JG,NA,NA,Channel Islands,2015,NA,80.958,100,NA,Europe & Central Asia,High income +JM,5.709,0.13693,Jamaica,2015,NA,75.836,97.2788848876953,4740.63823367243,Latin America & Caribbean ,Upper middle income +JO,5.192,0.04524,Jordan,2015,NA,74.182,99.9983215332031,3297.89441163032,Middle East & North Africa,Lower middle income +JP,5.987,0.03581,Japan,2015,98.7999420166016,83.7939024390244,100,47163.4942109343,East Asia & Pacific,High income +KE,4.419,0.04734,Kenya,2015,NA,66.695,41.6,1107.99301648379,Sub-Saharan Africa ,Lower middle income +KG,5.286,0.03823,Kyrgyz Republic,2015,89.4549102783203,70.6512195121951,99.9065551757813,1021.16079218508,Europe & Central Asia,Lower middle income +KH,3.819,0.05069,Cambodia,2015,95.2889099121094,68.62,47.5657386779785,1024.87234257436,East Asia & Pacific,Lower middle income +KI,NA,NA,Kiribati,2015,95.2004928588867,66.13,90.5581814089579,1696.46676627914,East Asia & Pacific,Lower middle income +KM,3.956,0.04797,Comoros,2015,NA,63.473,75.3807144165039,769.477377970679,Sub-Saharan Africa ,Low income +KN,NA,NA,St. Kitts and Nevis,2015,NA,NA,99.9300155639648,15469.2132515813,Latin America & Caribbean ,High income +KP,NA,NA,"Korea, Dem. People’s Rep.",2015,NA,71.457,37.4463195800781,NA,East Asia & Pacific,Low income +KR,5.984,0.04098,"Korea, Rep.",2015,96.7979278564453,82.0243902439024,100,24870.7708964387,East Asia & Pacific,High income +KW,6.295,0.04456,Kuwait,2015,91.757209777832,74.577,100,35053.5908361253,Middle East & North Africa,High income +KY,NA,NA,Cayman Islands,2015,NA,NA,100,NA,Latin America & Caribbean ,High income +KZ,5.855,0.04114,Kazakhstan,2015,86.3098831176758,72,100,10617.4746549668,Europe & Central Asia,Upper middle income +LA,4.876,0.06698,Lao PDR,2015,95.6065979003906,66.335,89.7,1556.67071242887,East Asia & Pacific,Lower middle income +LB,4.839,0.04337,Lebanon,2015,81.9027786254883,79.409,100,7189.63371109902,Middle East & North Africa,Upper middle income +LC,NA,NA,St. Lucia,2015,NA,75.3,97.1630783081055,8270.70777286367,Latin America & Caribbean ,Upper middle income +LI,NA,NA,Liechtenstein,2015,94.3010406494141,82.6560975609756,100,NA,Europe & Central Asia,High income +LK,4.271,0.03751,Sri Lanka,2015,98.9374008178711,75.088,93.8899002075195,3648.2344903297,South Asia,Lower middle income +LR,4.571,0.11068,Liberia,2015,37.6832695007324,62.007,13.8400917053223,367.475978462181,Sub-Saharan Africa ,Low income +LS,4.898,0.09438,Lesotho,2015,79.5791320800781,53.745,27.9232387542725,1338.53537447682,Sub-Saharan Africa ,Lower middle income +LT,5.833,0.03843,Lithuania,2015,97.8654632568359,74.3219512195122,100,15383.4626350521,Europe & Central Asia,High income +LU,6.946,0.03499,Luxembourg,2015,94.582649230957,82.2926829268293,100,107648.608007826,Europe & Central Asia,High income +LV,5.098,0.0464,Latvia,2015,94.8804168701172,74.4804878048781,100,14284.2883301309,Europe & Central Asia,High income +LY,5.754,0.07832,Libya,2015,NA,71.776,98.5287628173828,6073.40620029268,Middle East & North Africa,Upper middle income +MA,5.013,0.0342,Morocco,2015,NA,75.573,99.5860137939453,3209.71471291532,Middle East & North Africa,Lower middle income +MC,NA,NA,Monaco,2015,NA,NA,100,NA,Europe & Central Asia,High income +MD,5.889,0.03799,Moldova,2015,86.8547821044922,71.468,100,1980.26741236966,Europe & Central Asia,Lower middle income +ME,5.192,0.05235,Montenegro,2015,94.0410003662109,76.938,99.9991607666016,7279.88886020374,Europe & Central Asia,Upper middle income +MF,NA,NA,St. Martin (French part),2015,NA,79.4707317073171,70.7588043212891,NA,Latin America & Caribbean ,High income +MG,3.681,0.03633,Madagascar,2015,NA,65.539,19.0350608825684,410.194159196256,Sub-Saharan Africa ,Low income +MH,NA,NA,Marshall Islands,2015,77.3304595947266,NA,91.5148773193359,3315.19293500707,East Asia & Pacific,Upper middle income +MK,5.007,0.05376,"Macedonia, FYR",2015,91.7109527587891,75.549,100,5104.77738844088,Europe & Central Asia,Upper middle income +ML,3.995,0.05602,Mali,2015,55.5758094787598,57.478,37.6,726.248067030662,Sub-Saharan Africa ,Low income +MM,4.307,0.04351,Myanmar,2015,NA,66.464,60.5,1342.26306433207,East Asia & Pacific,Lower middle income +MN,4.874,0.03313,Mongolia,2015,96.8528366088867,69.087,81.1916275024414,3923.62846916544,East Asia & Pacific,Lower middle income +MO,NA,NA,"Macao SAR, China",2015,97.8429489135742,83.7,100,53580.4908597492,East Asia & Pacific,High income +MP,NA,NA,Northern Mariana Islands,2015,NA,NA,100,14919.6400246835,East Asia & Pacific,High income +MR,4.436,0.03947,Mauritania,2015,NA,63.082,39.5,1306.64958344716,Sub-Saharan Africa ,Lower middle income +MT,6.302,0.04206,Malta,2015,98.4465026855469,81.7975609756098,100,25342.0222902837,Middle East & North Africa,High income +MU,5.477,0.07197,Mauritius,2015,96.1365127563477,74.3531707317073,98.7412567138672,9468.94070050164,Sub-Saharan Africa ,Upper middle income +MV,NA,NA,Maldives,2015,96.3451995849609,77.042,99.994010925293,8105.54024678614,South Asia,Upper middle income +MW,4.292,0.0613,Malawi,2015,NA,62.661,10.8,483.628811026417,Sub-Saharan Africa ,Low income +MX,7.187,0.04176,Mexico,2015,95.6358871459961,76.933,99,9717.89842992014,Latin America & Caribbean ,Upper middle income +MY,5.77,0.0433,Malaysia,2015,99.5363693237305,75.143,99.9985885620117,10745.0454732509,East Asia & Pacific,Upper middle income +MZ,4.971,0.07896,Mozambique,2015,89.5662994384766,57.714,24,510.793590648738,Sub-Saharan Africa ,Low income +"NA",NA,NA,Namibia,2015,NA,63.782,50.7034301757813,6120.74540170818,Sub-Saharan Africa ,Upper middle income +NC,NA,NA,New Caledonia,2015,NA,77.2443035079364,100,NA,East Asia & Pacific,High income +NE,3.845,0.03602,Niger,2015,61.8176383972168,59.667,16.6,388.316193530925,Sub-Saharan Africa ,Low income +NG,5.268,0.04192,Nigeria,2015,NA,52.985,52.5,2562.52221561458,Sub-Saharan Africa ,Lower middle income +NI,5.828,0.05371,Nicaragua,2015,NA,75.149,81.1631393432617,1878.2007688765,Latin America & Caribbean ,Lower middle income +NL,7.378,0.02799,Netherlands,2015,96.4220123291016,81.509756097561,100,51410.4893017426,Europe & Central Asia,High income +NO,7.522,0.0388,Norway,2015,99.7658920288086,82.3048780487805,100,90104.0482597666,Europe & Central Asia,High income +NP,4.514,0.03607,Nepal,2015,96.5344619750977,69.887,87.213623046875,690.075033001948,South Asia,Low income +NR,NA,NA,Nauru,2015,NA,NA,99,9143.66872724019,East Asia & Pacific,Upper middle income +NZ,7.286,0.03371,New Zealand,2015,97.6683502197266,81.4568292682927,100,37038.854884222,East Asia & Pacific,High income +OM,6.853,0.05335,Oman,2015,94.2553405761719,76.801,100,16957.8542671642,Middle East & North Africa,High income +PA,6.786,0.0491,Panama,2015,87.2092514038086,77.806,92.5548400878906,10747.8416197677,Latin America & Caribbean ,Upper middle income +PE,5.824,0.04615,Peru,2015,94.081672668457,74.747,93.852179,5937.28535183218,Latin America & Caribbean ,Upper middle income +PF,NA,NA,French Polynesia,2015,NA,76.628,100,NA,East Asia & Pacific,High income +PG,NA,NA,Papua New Guinea,2015,NA,65.384,22.1889343261719,2402.53624605015,East Asia & Pacific,Lower middle income +PH,5.073,0.04934,Philippines,2015,95.7163162231445,68.951,89.08,2615.6591018123,East Asia & Pacific,Lower middle income +PK,5.194,0.03726,Pakistan,2015,73.6060562133789,66.322,93.5,1140.20627149045,South Asia,Lower middle income +PL,5.791,0.04263,Poland,2015,95.0003890991211,77.4512195121951,100,14642.0964873911,Europe & Central Asia,High income +PR,NA,NA,Puerto Rico,2015,78.7532577514648,79.5961219512195,100,27501.60767535,Latin America & Caribbean ,High income +PS,4.715,0.04394,West Bank and Gaza,2015,90.2396392822266,73.299,100,2641.79894815406,Middle East & North Africa,Lower middle income +PT,5.102,0.04802,Portugal,2015,97.0022811889648,81.1243902439025,100,22016.8369177565,Europe & Central Asia,High income +PW,NA,NA,Palau,2015,NA,NA,99.1614608764648,10577.5833196129,East Asia & Pacific,High income +PY,5.878,0.04563,Paraguay,2015,NA,73.023,99.331532,3822.86291849316,Latin America & Caribbean ,Upper middle income +QA,6.611,0.06257,Qatar,2015,92.1139678955078,78.036,100,67277.24312946,Middle East & North Africa,High income +RO,5.124,0.06607,Romania,2015,87.5066375732422,75.0121951219512,100,9639.38725500793,Europe & Central Asia,Upper middle income +RS,5.123,0.04864,Serbia,2015,96.3022613525391,75.2878048780488,99.9827423095703,5663.3923807184,Europe & Central Asia,Upper middle income +RU,5.716,0.03135,Russian Federation,2015,96.5266418457031,71.1682926829268,100,11325.7876875728,Europe & Central Asia,Upper middle income +RW,3.465,0.03464,Rwanda,2015,NA,66.696,22.8,714.393932013572,Sub-Saharan Africa ,Low income +SA,6.411,0.04633,Saudi Arabia,2015,NA,74.4,100,21507.9556933289,Middle East & North Africa,High income +SB,NA,NA,Solomon Islands,2015,70.5851821899414,70.43,55.1,1482.19059362413,East Asia & Pacific,Lower middle income +SC,NA,NA,Seychelles,2015,NA,74.2951219512195,99.6783218383789,13187.6120030729,Sub-Saharan Africa ,High income +SD,4.55,0.0674,Sudan,2015,NA,64.257,38.0091552734375,1881.89526333396,Sub-Saharan Africa ,Lower middle income +SE,7.364,0.03157,Sweden,2015,99.3757476806641,82.2048780487805,100,55395.05870784,Europe & Central Asia,High income +SG,6.798,0.0378,Singapore,2015,NA,82.7439024390244,100,52785.3064330722,East Asia & Pacific,High income +SI,5.848,0.04251,Slovenia,2015,97.7742614746094,80.7756097560976,100,23731.1672755043,Europe & Central Asia,High income +SK,5.995,0.04267,Slovak Republic,2015,NA,76.5634146341463,100,18678.9349990608,Europe & Central Asia,High income +SL,4.507,0.07068,Sierra Leone,2015,92.3749237060547,51.423,16.468376159668,437.168779829383,Sub-Saharan Africa ,Low income +SM,NA,NA,San Marino,2015,NA,NA,100,52476.9701283514,Europe & Central Asia,High income +SN,3.904,0.03608,Senegal,2015,72.6199798583984,66.784,60.5,1052.95881981747,Sub-Saharan Africa ,Low income +SO,5.057,0.06161,Somalia,2015,NA,55.876,28.2924041748047,NA,Sub-Saharan Africa ,Low income +SR,6.269,0.09811,Suriname,2015,92.0260696411133,71.279,87.7446746826172,8627.52723432901,Latin America & Caribbean ,Upper middle income +SS,NA,NA,South Sudan,2015,32.1198081970215,56.322,7.93542766571045,NA,Sub-Saharan Africa ,Low income +ST,NA,NA,Sao Tome and Principe,2015,90.6035614013672,66.488,64.5101470947266,1260.62750708797,Sub-Saharan Africa ,Lower middle income +SV,6.13,0.05618,El Salvador,2015,86.1727294921875,73.267,95.4,3333.9462109483,Latin America & Caribbean ,Lower middle income +SX,NA,NA,Sint Maarten (Dutch part),2015,NA,NA,100,NA,Latin America & Caribbean ,High income +SY,3.006,0.05015,Syrian Arab Republic,2015,NA,69.904,99.6365203857422,NA,Middle East & North Africa,Lower middle income +TC,NA,NA,Turks and Caicos Islands,2015,NA,NA,95.4321975708008,NA,Latin America & Caribbean ,High income +TD,3.667,0.0383,Chad,2015,NA,52.575,7.7,962.655922565098,Sub-Saharan Africa ,Low income +TG,2.839,0.06727,Togo,2015,94.5440979003906,59.949,45.0285453796387,545.577884885336,Sub-Saharan Africa ,Low income +TH,6.455,0.03557,Thailand,2015,89.6202774047852,75.103,99.6,5739.76265158467,East Asia & Pacific,Upper middle income +TJ,4.786,0.03198,Tajikistan,2015,94.3511123657227,70.879,99.9973526000976,925.621638386918,Europe & Central Asia,Lower middle income +TL,NA,NA,Timor-Leste,2015,83.7419815063477,68.569,67.2815339423354,3009.1487722328,East Asia & Pacific,Lower middle income +TM,5.548,0.04175,Turkmenistan,2015,NA,67.704,100,6693.93561006515,Europe & Central Asia,Upper middle income +TN,4.739,0.03589,Tunisia,2015,NA,75.525,100,4270.8740483977,Middle East & North Africa,Lower middle income +TO,NA,NA,Tonga,2015,NA,72.88,96.1754531860352,3694.46240875432,East Asia & Pacific,Upper middle income +TR,5.332,0.03864,Turkey,2015,94.8689270019531,75.498,100,13898.748837968,Europe & Central Asia,Upper middle income +TT,6.168,0.10895,Trinidad and Tobago,2015,NA,70.556,100,16824.6726383117,Latin America & Caribbean ,High income +TV,NA,NA,Tuvalu,2015,NA,NA,99.0326766967773,3459.77855114164,East Asia & Pacific,Upper middle income +TZ,3.781,0.05061,Tanzania,2015,NA,64.95,18.5,835.97094587663,Sub-Saharan Africa ,Low income +UA,4.681,0.04412,Ukraine,2015,NA,71.189512195122,100,2828.88539029976,Europe & Central Asia,Lower middle income +UG,3.931,0.04317,Uganda,2015,NA,59.575,18.5,654.136578519892,Sub-Saharan Africa ,Low income +US,7.119,0.03839,United States,2015,92.9419784545898,78.690243902439,100,51933.4048064982,North America,High income +UY,6.485,0.04539,Uruguay,2015,97.2386779785156,77.341,99.70948,13859.4073942395,Latin America & Caribbean ,High income +UZ,6.003,0.04361,Uzbekistan,2015,94.4095306396484,71.192,100,1851.47277905238,Europe & Central Asia,Lower middle income +VC,NA,NA,St. Vincent and the Grenadines,2015,93.9759368896484,73.06,99.4550628662109,6579.12333760027,Latin America & Caribbean ,Upper middle income +VE,6.81,0.06476,"Venezuela, RB",2015,89.4771423339844,74.367,99.4607391357422,NA,Latin America & Caribbean ,Upper middle income +VG,NA,NA,British Virgin Islands,2015,NA,NA,NA,NA,Latin America & Caribbean ,High income +VI,NA,NA,Virgin Islands (U.S.),2015,NA,79.1682926829268,100,29389.0576736405,Latin America & Caribbean ,High income +VN,5.36,0.03107,Vietnam,2015,NA,76.052,100,1651.23467528936,East Asia & Pacific,Lower middle income +VU,NA,NA,Vanuatu,2015,85.8159866333008,71.925,44.6696128845215,2823.70782875692,East Asia & Pacific,Lower middle income +WS,NA,NA,Samoa,2015,95.9240188598633,74.77,99.9382781982422,3555.05603271721,East Asia & Pacific,Upper middle income +XK,NA,NA,Kosovo,2015,NA,71.3463414634146,100,3802.04840036962,Europe & Central Asia,Lower middle income +YE,4.077,0.04367,"Yemen, Rep.",2015,NA,64.743,70.2139053344727,674.863535926154,Middle East & North Africa,Lower middle income +ZA,4.642,0.04585,South Africa,2015,80.0298309326172,61.981,85.5,7575.17476995137,Sub-Saharan Africa ,Upper middle income +ZM,5.129,0.06988,Zambia,2015,NA,61.397,31.1,1618.45766533614,Sub-Saharan Africa ,Lower middle income +ZW,4.61,0.0429,Zimbabwe,2015,NA,60.398,33.7,933.50326674854,Sub-Saharan Africa ,Low income diff --git a/docs/projects/week-8/happiness.Rmd b/docs/projects/week-8/happiness.Rmd new file mode 100644 index 00000000..a7cd729a --- /dev/null +++ b/docs/projects/week-8/happiness.Rmd @@ -0,0 +1,50 @@ +--- +title: "Happiness" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +world_happiness <- read_csv("data/world_happiness.csv") %>% + mutate(latin_america = region == "Latin America & Caribbean") +``` + +# Indicator variables + +```{r} +model_life_school_region <- lm(happiness_score ~ life_expectancy + + school_enrollment + region, + data = world_happiness) +tidy(model_life_school_region) +``` + +```{r} +model_life_school_la <- lm(happiness_score ~ life_expectancy + latin_america, + data = world_happiness) +tidy(model_life_school_la) +``` + +```{r} +ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + + geom_point(aes(color = latin_america)) + + geom_abline(slope = 0.1023494, intercept = -2.0770858, color = "blue", linewidth = 2) + + geom_abline(slope = 0.1023494, intercept = -2.0770858 + 0.6234255, + color = "orange", linewidth = 2) +``` + +```{r} +model_life_school_la_int <- lm(happiness_score ~ life_expectancy + latin_america + + life_expectancy * latin_america, + data = world_happiness) +tidy(model_life_school_la_int) +``` + +```{r} +ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + + geom_point(aes(color = latin_america)) + + geom_abline(slope = 0.10154408, intercept = -2.01948544, color = "blue", linewidth = 2) + + geom_abline(slope = 0.10154408 + 0.02884127, intercept = -2.01948544 + -1.51554651, + color = "darkred", linewidth = 2) +``` diff --git a/docs/projects/week-8/hotdogs.Rmd b/docs/projects/week-8/hotdogs.Rmd new file mode 100644 index 00000000..8bd4ef70 --- /dev/null +++ b/docs/projects/week-8/hotdogs.Rmd @@ -0,0 +1,36 @@ +--- +title: "Hot dogs" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) + +# This way is hard to read and can be miserable +hotdogs <- tibble(price = c(2.00, 2.35, 2.35, 2.70), + cheese = c(FALSE, TRUE, FALSE, TRUE), + chili = c(FALSE, FALSE, TRUE, TRUE)) + +# This way lets you specify tables row-wise (hence t*r*ibble) and is far easier to read +hotdogs <- tribble( + ~price, ~cheese, ~chili, + 2.00, FALSE, FALSE, + 2.35, TRUE, FALSE, + 2.35, FALSE, TRUE, + 2.70, TRUE, TRUE +) + +model <- lm(price ~ cheese + chili + cheese * chili, data = hotdogs) +``` + +```{r} +tidy(model) +``` + +```{r} +tidy(model) %>% + select(term, estimate) %>% + mutate(estimate = round(estimate, 2)) +``` + diff --git a/docs/projects/week-8/math.Rmd b/docs/projects/week-8/math.Rmd new file mode 100644 index 00000000..a352ba69 --- /dev/null +++ b/docs/projects/week-8/math.Rmd @@ -0,0 +1,78 @@ +--- +title: "Effect of reading a math story on math anxiety" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(scales) # For things like percent() + +results <- read_csv("data/math_survey.csv") %>% + mutate(anxious_num = recode(math_anxiety, Yes = 1, No = 0)) %>% + mutate(treatment = fct_relevel(treatment, "Normal story")) +``` + + +# Difference-in-differences by hand + +```{r} +group_props <- results %>% + drop_na(math_anxiety) %>% + group_by(wave, treatment, math_anxiety) %>% + summarize(num = n()) %>% + group_by(wave, treatment) %>% + mutate(total = sum(num), + prop_math_anxious = num / total) %>% + filter(math_anxiety == "Yes") +group_props +``` + +We care about the difference in the differences: + +$$ +(\text{After} - \text{before})_{\text{treatment}} - (\text{After} - \text{before})_{\text{control}} +$$ + +```{r} +after_treatment <- group_props %>% + filter(treatment == "Math story", wave == 2) %>% + pull(prop_math_anxious) + +# TODO: Calculate these other values and make a table with cells for A, B, C, +# and D; then calculate the difference in differences + +# before_treatment +# after_control +# before_control +``` + +```{r} +dd_effect <- (after_treatment - before_treatment) - (after_control - before_control) +dd_effect +``` + + +# Difference-in-differences with regression + +```{r} +# TODO: Calculate the same effect using regression instead of a 2x2 matrix +``` + + +# Plot + +```{r} +ggplot(group_props, aes(x = as.factor(wave), + y = prop_math_anxious, + color = treatment)) + + geom_line(aes(group = treatment)) #+ + # annotate(geom = "segment", x = "1", xend = "2", + # y = before_treatment, yend = after_treatment - dd_effect, + # linetype = "dashed", color = "grey50") + + # annotate(geom = "segment", x = "2", xend = "2", + # y = after_treatment, yend = after_treatment - dd_effect, + # linetype = "dotted", color = "blue") + + # annotate(geom = "label", x = "2", y = 0.42, label = "Program effect", + # size = 3) +``` diff --git a/docs/projects/week-8/math_answers.Rmd b/docs/projects/week-8/math_answers.Rmd new file mode 100644 index 00000000..e54d7ebf --- /dev/null +++ b/docs/projects/week-8/math_answers.Rmd @@ -0,0 +1,109 @@ +--- +title: "Effect of reading a math story on math anxiety" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(scales) # For things like percent() + +results <- read_csv("data/math_survey.csv") %>% + mutate(anxious_num = recode(math_anxiety, Yes = 1, No = 0)) %>% + mutate(treatment = fct_relevel(treatment, "Normal story")) +``` + + +# Difference-in-differences by hand + +```{r} +group_props <- results %>% + drop_na(math_anxiety) %>% + group_by(wave, treatment, math_anxiety) %>% + summarize(num = n()) %>% + group_by(wave, treatment) %>% + mutate(total = sum(num), + prop_math_anxious = num / total) %>% + filter(math_anxiety == "Yes") +group_props +``` + + +We care about the difference in the differences: + +$$ +(\text{After} - \text{before})_{\text{treatment}} - (\text{After} - \text{before})_{\text{control}} +$$ + +```{r} +after_treatment <- group_props %>% + filter(treatment == "Math story", wave == 2) %>% + pull(prop_math_anxious) + +before_treatment <- group_props %>% + filter(treatment == "Math story", wave == 1) %>% + pull(prop_math_anxious) + +after_control <- group_props %>% + filter(treatment == "Normal story", wave == 2) %>% + pull(prop_math_anxious) + +before_control <- group_props %>% + filter(treatment == "Normal story", wave == 1) %>% + pull(prop_math_anxious) +``` + + +```{r} +dd_effect <- (after_treatment - before_treatment) - (after_control - before_control) +dd_effect +``` + +# Difference-in-differences with regression and interaction terms + +```{r} +dd_regression <- lm(anxious_num ~ wave + treatment + wave * treatment, + data = results) +tidy(dd_regression) +``` + + +# Plot + +```{r} +hypothetical_trend <- after_control - before_control + +ggplot(group_props, + aes(x = as.factor(wave), y = prop_math_anxious, + color = treatment, group = treatment)) + + geom_line(size = 2) + + geom_segment(aes(x = 1, y = before_treatment, xend = 2, + yend = (before_treatment + hypothetical_trend)), + linetype = "dotted", color = "grey10") + + geom_segment(aes(x = 2, xend = 2, + y = (before_treatment + hypothetical_trend - .005), + yend = after_treatment + 0.005), + color = "#BD1550", size = 2) + + annotate("label", x = 1.5, y = .27, label = "Normal story", + size = 3.5, color = "#490A3D") + + annotate("label", x = 1.5, y = .40, label = "Math story", + size = 3.5, color = "#8A9B0F") + + annotate("label", x = 2.05, y = (before_treatment + hypothetical_trend), + label = "Predicted trend\nwithout story", + size = 3.5, color = "grey10", hjust = 0) + + annotate("label", x = 2.05, + y = (before_treatment + hypothetical_trend) - (abs(dd_effect) / 2), + label = paste0("Effect of story\non anxiety: ", percent(dd_effect)), + size = 3.5, color = "#BD1550", hjust = 0, fontface = "bold") + + scale_color_manual(values = c("Math story" = "#8A9B0F", "Normal story" = "#490A3D")) + + scale_y_continuous(labels = percent_format(accuracy = 1)) + + scale_x_discrete(labels = c("Before", "After")) + + guides(color = "none") + + coord_cartesian(clip = "off", xlim = c(1.5, 1.85)) + + labs(x = NULL, y = "Proportion of class feeling math anxiety", + title = "Reading a story about math reduces math anxiety", + subtitle = "Experiment in four 4th grade classes") + + theme_minimal() + + theme(plot.title = element_text(face = "bold", size = rel(1.6))) +``` + diff --git a/docs/projects/week-8/mlda.Rmd b/docs/projects/week-8/mlda.Rmd new file mode 100644 index 00000000..dd901691 --- /dev/null +++ b/docs/projects/week-8/mlda.Rmd @@ -0,0 +1,96 @@ +--- +title: "Effect of lowering the minimum legal drinking age on mortality" +output: html_document +--- + +## Load and clean data + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) +library(tigris) + +deaths_raw <- read_csv("data/deaths.csv") +``` + +The original data has a column called `fips` that contains id numbers for each state based on the Federal Information Processing Standards (FIPS) system ([see this](https://en.wikipedia.org/wiki/Federal_Information_Processing_Standard_state_code) for a list of all state FIPS codes). We can add state names and abbreviations to the dataset by merging a lookup table of FIPS codes (`fips_codes`) from the **tigris** package: + +```{r} +fips <- fips_codes %>% + mutate(state_code = as.numeric(state_code)) %>% + group_by(state_code) %>% + slice(1) %>% + select(-county, -county_code) +``` + +```{r} +deaths <- deaths_raw %>% + mutate(state = as.numeric(state)) %>% + left_join(fips, by = c("state" = "state_code")) +``` + + +## Simple diff-in-diff with Alabama and Arkansas + +```{r} +# TODO: Make a new dataset based on `deaths` that only contains Alabama and Arkansas +# TODO: Make a new column called `after_change` that is TRUE (or 1) if year >= 1975 +# TODO: Make a new column called `is_alabama` that is TRUE (or 1) if the state is Alabama +# TODO: Filter the data so that it (1) only includes years <= 1983, (2) only includes the 18-20 age group (agegr), and (3) includes only the death type (dtype) of "all" +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average mortality rate (mrate) in Alabama and Arkansas before and after the change (after_change) +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +``` + +$$ +\begin{aligned} +\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ +&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) +\end{aligned} +$$ + +```{r} +# TODO: Using the data for only Alabama and Arkansas, create a plot that shows +# the mortality rate over time, colored by state. Add a vertical line at 1975. +# Determine if the two states' trends are parallel pre-1975. +``` + + +## TWFE with all states + +```{r} +# TODO: Create a new dataset based on `deaths_raw` that (1) only includes years +# <= 1983, (2) only includes the 18-20 age group (agegr), and (3) includes only +# the death type (dtype) of "all" +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +# +# HINT: The year column is currently numeric (like 1981, 1982, etc.), and R +# thinks that it's truly numeric (with possible values like 1980.432, etc.). To +# treat the year column like a categorical fixed effect, you need to make it a +# factor, so use factor(year) in your model code (or use mutate() above where +# you filter the data to create a factor version of the year column) +``` + +$$ +\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +$$ + +```{r} +# TODO: Create another TWFE model that incorporates state-specific time trends by including the interaction of state and year: +``` + +$$ +\begin{aligned} +\text{Mortality}\ =\ & \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +\\ +&\beta_4\ (\text{State} \times \text{Year}) +\end{aligned} +$$ diff --git a/docs/projects/week-8/mlda_answers.Rmd b/docs/projects/week-8/mlda_answers.Rmd new file mode 100644 index 00000000..16d97d7b --- /dev/null +++ b/docs/projects/week-8/mlda_answers.Rmd @@ -0,0 +1,112 @@ +--- +title: "Effect of lowering the minimum legal drinking age on mortality" +output: html_document +--- + +```{r setup, warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) +library(tigris) + +# Mastering 'Metrics R code +# - https://jrnold.github.io/masteringmetrics/ +# Original Stata file: +# - http://masteringmetrics.com/wp-content/uploads/2015/01/deaths.dta +# Original Stata .do file: +# - http://masteringmetrics.com/wp-content/uploads/2015/01/analysis.do +deaths_raw <- read_csv("data/deaths.csv") +``` + +```{r} +fips <- fips_codes %>% + mutate(state_code = as.numeric(state_code)) %>% + group_by(state_code) %>% + slice(1) %>% + select(-county, -county_code) +``` + +```{r} +deaths <- deaths_raw %>% + mutate(state = as.numeric(state)) %>% + left_join(fips, by = c("state" = "state_code")) +``` + +```{r} +al_ar <- deaths %>% + filter(state_name %in% c("Alabama", "Arkansas")) %>% + mutate(after_change = year >= 1975, + is_alabama = state_name == "Alabama") %>% + filter(year <= 1983, agegr == "18-20 yrs", dtype == "all") +``` + +```{r} +ggplot(al_ar, aes(x = year, y = mrate, color = state_name)) + + geom_line() +``` + +```{r} +al_ar %>% + group_by(is_alabama, after_change) %>% + summarize(avg_mrate = mean(mrate)) +``` + +$$ +\begin{aligned} +\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ +&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) +\end{aligned} +$$ + +```{r} +model_al_ar <- lm(mrate ~ after_change + is_alabama + + (after_change * is_alabama), + data = al_ar) +tidy(model_al_ar) +``` + +```{r} +deaths_filtered <- deaths %>% + filter(year <= 1983, agegr == "18-20 yrs", dtype == "all") +``` + +$$ +\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +$$ + +```{r} +model <- lm(mrate ~ legal + state_name + year, + data = deaths_filtered) +tidy(model) + +model_fe <- feols(mrate ~ legal | state_name + year, + cluster = ~ state_name, + data = deaths_filtered, + ssc = ssc(fixef.K = "full")) +tidy(model_fe) +``` + +```{r} +ggplot(deaths_filtered, aes(x = year, y = mrate, color = state_name)) + + geom_line() +``` + +$$ +\begin{aligned} +\text{Mortality}\ =\ & \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year} +\\ +&\beta_4\ (\text{State} \times \text{Year}) +\end{aligned} +$$ + +```{r} +model2 <- lm(mrate ~ legal + state_name + factor(year) + state_name:year, + data = deaths_filtered) +tidy(model2) + +model2_fe <- feols(mrate ~ legal + i(state_name, factor(year)) | state_name + year, + cluster = ~ state_name, + data = deaths_filtered, + ssc = ssc(fixef.K = "full")) +tidy(model2) +``` + diff --git a/docs/projects/week-8/organ-donations.Rmd b/docs/projects/week-8/organ-donations.Rmd new file mode 100644 index 00000000..4d9b4353 --- /dev/null +++ b/docs/projects/week-8/organ-donations.Rmd @@ -0,0 +1,62 @@ +--- +title: "Organ donations" +output: html_document +--- + +## Load and clean data + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) + +organ_donations_raw <- read_csv("data/organ_donations.csv") +``` + +```{r} +# TODO: Make a dataset based on `organ_donations` that only contains California and New Jersey +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `is_california` that is TRUE (or 1) if the state is California +``` + + +## Simple diff-in-diff + +```{r} +# TODO: Using the data for only California and New Jersey, create a plot that shows +# the donation rate over time, colored by state. Add a vertical line at Q22011 (or Quarter_num = 3). +# Determine if the two states' trends are parallel before the change. +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average donation rate in +# California and New Jersey before and after the change in California's policy +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +``` + +$$ +\begin{aligned} +\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ +&\ \beta_3\ (\text{California} \times \text{After Q22011}) +\end{aligned} +$$ + + +## Two-way fixed effects + +```{r} +# TODO: Create a new dataset based on `organ_donations_raw` +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `Treated` that is TRUE (or 1) if the state is California and After is TRUE/1 +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +``` + +$$ +\text{Donation rate}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{After} +$$ diff --git a/docs/projects/week-8/organ-donations_answers.Rmd b/docs/projects/week-8/organ-donations_answers.Rmd new file mode 100644 index 00000000..84cd5e05 --- /dev/null +++ b/docs/projects/week-8/organ-donations_answers.Rmd @@ -0,0 +1,112 @@ +--- +title: "Organ donations" +output: html_document +--- + +## Load and clean data + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(fixest) + +organ_donations_raw <- read_csv("data/organ_donations.csv") +``` + +```{r} +# TODO: Make a dataset based on `organ_donations` that only contains California and New Jersey +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `is_california` that is TRUE (or 1) if the state is California + +organ_ca_nj <- organ_donations_raw %>% + filter(State %in% c("California", "New Jersey")) %>% + mutate(After = Quarter %in% c("Q32011", "Q42011", "Q12012"), + is_california = State == "California") +``` + + +## Simple diff-in-diff + +```{r} +# TODO: Using the data for only California and New Jersey, create a plot that shows +# the donation rate over time, colored by state. Add a vertical line at Q22011 (or Quarter_num = 3). +# Determine if the two states' trends are parallel before the change. +ggplot(organ_ca_nj, aes(x = Quarter_Num, y = Rate, color = State)) + + geom_vline(xintercept = 3.5) + + geom_line() +``` + +```{r} +# TODO: Use group_by() and summarize() to find the average donation rate in +# California and New Jersey before and after the change in California's policy +diffs <- organ_ca_nj %>% + group_by(After, State) %>% + summarize(mean_rate = mean(Rate)) + +before_treatment <- diffs %>% + filter(After == FALSE, State == "California") %>% + pull(mean_rate) + +before_control <- diffs %>% + filter(After == FALSE, State == "New Jersey") %>% + pull(mean_rate) + +after_treatment <- diffs %>% + filter(After == TRUE, State == "California") %>% + pull(mean_rate) + +after_control <- diffs %>% + filter(After == TRUE, State == "New Jersey") %>% + pull(mean_rate) + +diff_treatment_before_after <- after_treatment - before_treatment +diff_treatment_before_after + +diff_control_before_after <- after_control - before_control +diff_control_before_after + +diff_diff <- diff_treatment_before_after - diff_control_before_after +diff_diff +``` + +```{r} +# TODO: Use lm() to calculate the diff-in-diff effect with this model: +model_diff_diff <- lm(Rate ~ is_california + After + (is_california * After), + data = organ_ca_nj) +tidy(model_diff_diff) +``` + +$$ +\begin{aligned} +\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ +&\ \beta_3\ (\text{California} \times \text{After Q22011}) +\end{aligned} +$$ + + +## Two-way fixed effects + +```{r} +# TODO: Create a new dataset based on `organ_donations_raw` +# TODO: Make a new column called `After` that is TRUE (or 1) if the quarter is Q32011, Q42011, or Q12012 (or if Quarter_num is 4, 5, or 6) +# TODO: Make a new column called `Treated` that is TRUE (or 1) if the state is California and After is TRUE/1 + +organ <- organ_donations_raw %>% + mutate(After = Quarter %in% c("Q32011", "Q42011", "Q12012")) %>% + mutate(Treated = State == "California" & After == TRUE) +``` + +```{r} +# TODO: Use that new data to create a TWFE model like this: +model_twfe <- lm(Rate ~ Treated + State + After, + data = organ) +tidy(model_twfe) + +model_twfe_nice <- feols(Rate ~ Treated | State + After, + data = organ) +tidy(model_twfe_nice) +``` + +$$ +\text{Donation rate}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{After} +$$ diff --git a/docs/projects/week-8/penguins.Rmd b/docs/projects/week-8/penguins.Rmd new file mode 100644 index 00000000..d4b7fce5 --- /dev/null +++ b/docs/projects/week-8/penguins.Rmd @@ -0,0 +1,45 @@ +--- +title: "Penguins and interactions" +output: html_document +--- + +```{r warning=FALSE, message=FALSE} +library(tidyverse) +library(broom) +library(palmerpenguins) + +penguins <- penguins %>% drop_na(sex) +``` + + +```{r} +model_basic <- lm(body_mass_g ~ flipper_length_mm + species, + data = penguins) + +tidy(model_basic) +``` + + +```{r} +basic_predictions <- augment(model_basic, penguins) + +ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) + + geom_point(aes(color = species)) + + geom_smooth(data = basic_predictions, aes(y = .fitted, color = species)) +``` + + +```{r} +model_interaction <- lm(body_mass_g ~ flipper_length_mm * species, + data = penguins) + +tidy(model_interaction) +``` + + +```{r} +ggplot(penguins, aes(x = flipper_length_mm, y = body_mass_g)) + + geom_point(aes(color = species)) + + geom_smooth(aes(color = species), method = "lm", se = FALSE) +``` + diff --git a/docs/projects/week-8/references.bib b/docs/projects/week-8/references.bib new file mode 100644 index 00000000..8391c297 --- /dev/null +++ b/docs/projects/week-8/references.bib @@ -0,0 +1,62 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Andrew Heiss at 2021-10-11 15:44:16 -0400 + + +%% Saved with string encoding Unicode (UTF-8) + + + +@article{AltonjiElderTaber:2005, + author = {Joseph G. Altonji and Todd E. Elder and Christopher R. Taber}, + date-added = {2021-10-11 15:44:01 -0400}, + date-modified = {2021-10-11 15:44:01 -0400}, + doi = {10.1086/426036}, + journal = {Journal of Political Economy}, + month = {2}, + number = {1}, + pages = {151--184}, + title = {Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools}, + volume = {113}, + year = {2005}, + bdsk-url-1 = {https://doi.org/10.1086/426036}} + +@article{CinelliHazlett:2020, + author = {Carlos Cinelli and Chad Hazlett}, + date-added = {2021-10-11 15:43:53 -0400}, + date-modified = {2021-10-11 15:43:53 -0400}, + doi = {10.1111/rssb.12348}, + journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}, + month = {2}, + number = {1}, + pages = {39--67}, + rating = {0}, + read = {0}, + title = {Making Sense of Sensitivity: Extending Omitted Variable Bias}, + volume = {82}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1111/rssb.12348}} + +@article{LinPsatyKronmal:1998, + author = {D. Y. Lin and B. M. Psaty and R. A. Kronmal}, + date-added = {2021-10-11 15:43:44 -0400}, + date-modified = {2021-10-11 15:43:44 -0400}, + doi = {10.2307/2533848}, + journal = {Biometrics}, + month = {9}, + number = {3}, + pages = {948--963}, + title = {Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies}, + volume = {54}, + year = {1998}, + bdsk-url-1 = {https://doi.org/10.2307/2533848}} + +@book{MurnaneWillett:2011, + address = {Oxford}, + author = {Richard J. Murnane and John B. Willett}, + date-added = {2021-10-11 15:43:44 -0400}, + date-modified = {2021-10-11 15:43:44 -0400}, + publisher = {Oxford University Press}, + title = {Methods Matter: Improving Causal Inference in Educational and Social Science Research}, + year = {2011}} diff --git a/docs/projects/week-8/unobserved-confounding.Rmd b/docs/projects/week-8/unobserved-confounding.Rmd new file mode 100644 index 00000000..2a7f339e --- /dev/null +++ b/docs/projects/week-8/unobserved-confounding.Rmd @@ -0,0 +1,1016 @@ +--- +title: "Unobserved confounding" +output: + html_document: + toc: yes +bibliography: "references.bib" +csl: "chicago-author-date.csl" +link-citations: true +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, + fig.align = "center", fig.retina = 3) +``` + +```{r load-libraries, message=FALSE, warning=FALSE} +library(tidyverse) # ggplot(), %>%, mutate(), and friends +library(ggdag) # Make DAGs +library(dagitty) # Do DAG logic with R +library(haven) # Load data from Stata files +library(broom) # Convert models to data frames +library(patchwork) # Combine ggplot plots + +set.seed(1234) # Make all random draws reproducible +``` + +## You can never close every backdoor without an experiment + +Throughout the semester, we've used causal models to map out the data generating process that connects a treatment (like a program or a policy) to a social outcome. By drawing DAGs, we can ostensibly find causal effects in observational non-experimental data by using DAG logic to close backdoor paths and deal with confounding. You've even done this with [matching and inverse probability weighting](/example/matching-ipw/), and you'll be doing it with quasi-experimental designs like [diff-in-diff](/example/diff-in-diff/), [regression discontinuity](/example/rdd/), and [instrumental variables](/example/iv/). + +However, doing observational causal inference requires a fairly strong assumption: all nodes that need to be adjusted for are observable and measurable. Let's go back to the mosquito net program example we used in the [matching and inverse probability weighting](/example/matching-ipw/) example, and let's add a new node here for unobserved confounding—something unknown causes people to both use nets and causes changes in individual malaria risk. + +```{r build-mosquito-dag-full, fig.width=8} +mosquito_dag <- dagify( + malaria_risk ~ net + income + health + temperature + resistance + unobserved, + net ~ income + health + temperature + eligible + household + unobserved, + eligible ~ income + household, + health ~ income, + exposure = "net", + outcome = "malaria_risk", + coords = list(x = c(malaria_risk = 7, net = 3, income = 4, health = 4, unobserved = 6, + temperature = 6, resistance = 8.5, eligible = 2, household = 1), + y = c(malaria_risk = 2, net = 2, income = 3, health = 1, unobserved = 1, + temperature = 3, resistance = 2, eligible = 3, household = 2)), + labels = c(malaria_risk = "Risk of malaria", net = "Mosquito net", income = "Income", + health = "Health", temperature = "Nighttime temperatures", + resistance = "Insecticide resistance", + eligible = "Eligible for program", household = "Number in household", + unobserved = "Other stuff we can't measure") +) + +ggdag_status(mosquito_dag, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + +If we could run an RCT for this net program, we'd get to delete all the arrows going into the mosquito net node, since we'd have total control over the assignment to treatment (and thus control over that aspect of the data generating process). Our DAG would look like this, and the arrow between the program and the outcome would be completely isolated and identified. We'd be able to easily and confidently measure the effect of mosquito net use on malaria risk with just a basic `lm(malaria_risk ~ net)`: + +```{r build-mosquito-dag-rct, fig.width=8} +mosquito_dag_rct <- dagify( + malaria_risk ~ net + income + health + temperature + resistance + unobserved, + # net ~ income + health + temperature + eligible + household + unobserved, + eligible ~ income + household, + health ~ income, + exposure = "net", + outcome = "malaria_risk", + coords = list(x = c(malaria_risk = 7, net = 3, income = 4, health = 4, unobserved = 6, + temperature = 6, resistance = 8.5, eligible = 2, household = 1), + y = c(malaria_risk = 2, net = 2, income = 3, health = 1, unobserved = 1, + temperature = 3, resistance = 2, eligible = 3, household = 2)), + labels = c(malaria_risk = "Risk of malaria", net = "Mosquito net", income = "Income", + health = "Health", temperature = "Nighttime temperatures", + resistance = "Insecticide resistance", + eligible = "Eligible for program", household = "Number in household", + unobserved = "Other stuff we can't measure") +) + +ggdag_status(mosquito_dag_rct, use_labels = "label", text = FALSE) + + guides(fill = "none", color = "none") + # Disable the legend + theme_dag() +``` + +Since we don't have experimental data, though, we're stuck with observational data. Never fear though! We can use *do*-calculus logic to see what we need to adjust for statistically to remove confounding: + +```{r mosquito-adjustment} +adjustmentSets(mosquito_dag) +``` + +Easy! To isolate the causal effect, we just have to adjust for health, income, nighttime temperatures and… \ unobserved and unmeasurable things. oh no. You can't adjust for things that you can't measure (or can't even see). + +With experiments, you get to eliminate all confounding by definition—that's why experiments are great. With observational data, you'll always have unobserved confounding lurking in the shadows. + + +## Sensitivity analysis + +One neat approach for dealing with unobserved confounding is to run your analysis assuming you've measured everything and closed all the required backdoors, and then see how sensitive your results are to hypothetical confounders. You can explore a bunch of different questions: + +- How much of an effect would a single hypothetical unmeasured confounder have to have on both treatment and outcome to make the estimated causal effect 0? +- How much of an effect would a single hypothetical unmeasured confounder have to have on both treatment and outcome to make it so the confidence interval of the causal effect includes 0? +- How many smaller hypothetical unmeasured confounders would there have to be make the estimated causal effect 0, or make it so the confidence interval includes 0? +- How likely is it that there are unmeasured confounders in the world that are that strong? + +Basically your goal with sensitivity analysis is to try to ruin your causal effect. You want to see how much unobserved confounding you can throw at your causal effect before it breaks, then explore if that much confounding is plausible. If throwing just a single little hypothetical confounder into your model is enough to eliminate the causal effect, you're probably in bad shape. If it would take substantial confounding to break it, you're probably safe. + +Our goal in this example is to estimate causal effects for two different situations: + +- **The effect of a hypothetical mosquito net program on malaria risk** (which we already used in the [DAG example](/example/dags/) and the [matching/IPW example](/example/matching-ipw/)). This data is **fake**. There's a built-in average treatment effect of −10: using a mosquito net causes the risk of malaria to decrease by 10 points, on average. +- **The effect of attending Catholic school on math scores.** This data is **real** and was used by @AltonjiElderTaber:2005 (and by lots of other researchers since then). A widely used econometrics textbook called [*Methods Matter*](https://global.oup.com/academic/product/methods-matter-9780199753864) [@MurnaneWillett:2011] uses this data as an example, too, and [you can access the data from Stata](https://stats.idre.ucla.edu/stata/examples/methods-matter/chapter12/). Since this isn't fake data, we actually have no idea what the true average treatment effect is. + +Let's find—and then ruin—these effects! + + +## Data background + +Let's quickly look at the data we'll be using. + +### Fake mosquito net program + +Our main question here is whether using mosquito nets decreases an individual's risk of contracting malaria. Fake researchers have collected data from 1,752 fake households in a fake country and have variables related to environmental factors, individual health, and household characteristics. The CSV file contains the following columns: + +- Malaria risk (`malaria_risk`): The likelihood that someone in the household will be infected with malaria. Measured on a scale of 0–100, with higher values indicating higher risk. +- Mosquito net (`net` and `net_num`): A binary variable indicating if the household used mosquito nets. +- Eligible for program (`eligible`): A binary variable indicating if the household is eligible for the free net program. +- Income (`income`): The household's monthly income, in US dollars. +- Nighttime temperatures (`temperature`): The average temperature at night, in Celsius. +- Health (`health`): Self-reported healthiness in the household. Measured on a scale of 0–100, with higher values indicating better health. +- Number in household (`household`): Number of people living in the household. +- Insecticide resistance (`resistance`): Some strains of mosquitoes are more resistant to insecticide and thus pose a higher risk of infecting people with malaria. This is measured on a scale of 0–100, with higher values indicating higher resistance. + +### Real Catholic schools + +Our main question here is whether attending a Catholic high school (instead of a public high school) causes people to have higher math scores in 12th grade. The data contains a sample of 5,671 students from the [National Education Longitudinal Study of 1988](https://nces.ed.gov/surveys/nels88/) (NELS:88)—these students lived in households with annual income of less than $75,000 (1988 dollars) in the first year of the NELS:88 survey. A clean version of the dataset is available at [UCLA's IDRE statistical consulting website](https://stats.idre.ucla.edu/stata/examples/methods-matter/chapter12/), but only as a Stata file. I loaded this data using Stata, then saved it from Stata and [included it here](/files/data/external_data/catholic.dta) on this website. (You can see another example of this data being [used for propensity score matching here](https://bookdown.org/aschmi11/causal_inf/propensity-score-matching.html).) + +The `.dta` file contains 25 columns, but these are the ones we'll care about for this example: + +- Math score (`math12`): Standardized math score in 12th grade. Ranges between 30ish and 71ish. +- Catholic school (`catholic`): A binary variable indicating if the student attended a catholic high school (`1`) or a public high school (`0`). +- Family income (`faminc8`, converted to `inc8`): Total family income in 8th grade. This is a categorical variable, but the authors of this study convert levels to actual numbers that fall in the income range. These numbers are in thousands of dollars (so 2 means \$2,000): + - None: 0 + - < \\$1,000: 0.5 + - \\$1,000-\\$2,999: 2 + - \\$3,000-\\$4,999: 4 + - \\$5,000-\\$7,499: 6.25 + - \\$7,500-\\$9,999: 8.75 + - \\$10,000-\\$14,999: 12.5 + - \\$15,000-\\$19,999: 17.5 + - \\$20,000-\\$24,999: 22.5 + - \\$25,000-\\$34,999: 30 + - \\$35,000-\\$49,999: 42.5 + - \\$50,000-\\$74,999: 62.5 +- 8th grade math score (`math8`): Standardized math score in 8th grade. +- Father's support (`fhowfar`): How far in school the student's father wants the student to go. Categorical variable with these levels: + - 1: Not finish high school + - 2: High school graduation + - 3: Junior college graduation + - 4: Less than four years of college + - 5: College graduation + - 6: Post-secondary education +- Mother's support (`mhowfar`): How far in school the student's mother wants the student to go. Categorical variable with the same levels as `fhowfar`. +- Fighting behavior (`fight8`): A categorical variable indicating if the student got into a fight with another student in 8th grade: + - 1: Never + - 2: Once or twice + - 3: More than twice +- Homework non-completion (`nohw8`): A binary variable indicating if the student rarely completed homework in 8th grade. +- Disruptiveness (`disrupt8`): A binary variable indicating if the student was frequently disruptive in 8th grade. +- Drop-out risk factors (`riskdrop8`): A count of the number of risk factors for dropping out of school. Ranges between 0 and 5. + +--- + +Let's load the data and get started! + +```{r load-data-fake} +nets <- read_csv("data/mosquito_nets.csv") + +school_data <- read_stata("data/catholic.dta") %>% + # This data comes with Stata column labels and formatting details that can + # sometimes conflict with R functions, so `zap_labels()` and `zap_formats()` + # here get rid of them + zap_labels() %>% + zap_formats() %>% + # Make a categorical version of the catholic column + mutate(catholic_f = factor(catholic, labels = c("Public", "Catholic"))) %>% + # The faminc8 column shows the family's income in 8th grade, but using a + # 12-level categorical system. The authors of the original study converted + # this system to an actual value based on the middle of the range. So since + # level 3 represents $1000-$2999, they use 2, etc. + mutate(inc8 = recode(faminc8, + "1" = 0, + "2" = .5, + "3" = 2, + "4" = 4, + "5" = 6.25, + "6" = 8.75, + "7" = 12.5, + "8" = 17.5, + "9" = 22.5, + "10" = 30, + "11" = 42.5, + "12" = 62.5 + )) +``` + + +## Important background concepts + +Before we look at how to tip and ruin our causal effects, we have to look at two important background concepts: (1) standardization and z-scores and (2) partial $R^2$. + +### Standardization and z-scores + +Most of the time, we think about the distributions of variables with their original values. For instance, here's what the range of 12th grade math scores looks like across our treatment (Catholic) and control (public) groups: + +```{r math-dist-regular} +ggplot(school_data, aes(x = math12, fill = catholic_f)) + + geom_density(alpha = 0.5) +``` + +The scores range between 30ish and 70ish, and it seems like the distribution in Catholic schools is higher than public schools—the average for Catholic school students appears to cluster around 60. + +We can calculate the actual average scores and overlay them as vertical lines: + +```{r math-dist-regular-lines} +math_averages <- school_data %>% + group_by(catholic_f) %>% + summarize(avg = mean(math12)) +math_averages + +ggplot(school_data, aes(x = math12, fill = catholic_f)) + + geom_density(alpha = 0.5) + + geom_vline(data = math_averages, + aes(xintercept = avg, color = catholic_f)) +``` + +Based on our `math_averages` table, there's a 4ish point difference in averages. We can use a little regression model to find the actual difference: + +```{r math-diff-naive} +model_math_naive <- lm(math12 ~ catholic_f, data = school_data) +tidy(model_math_naive) +``` + +The Catholic school "effect" is 3.89. This is **most definitely not a causal effect at all**—we haven't taken care of any of the confounders!—but we'll work with this for now just for illustration. + +An alternative way to think about these math scores is to **standardize** them, or scale them down so that the average score is 0 and all other observations are scaled based on how far away they are from the average. In past stats classes you probably learned about z-scores—those are standardized values. To calculate a z-score, you use this formula: + +$$Z = \frac{\overbrace{x}^{\substack{\text{Actual} \\ \text{value}}} - \overbrace{\mu}^{\text{Mean}}}{\underbrace{\sigma}_{\text{Standard deviation}}}$$ + +Fortunately R makes this really easy—the built-in `scale()` function will center and rescale columns for you. Let's make a scaled version (i.e. z-scores) of math scores and name it `math12_z`. + +```{r math-diff-scaled} +school_data_scaled <- school_data %>% + mutate(math12_z = scale(math12)) + +school_data_scaled %>% + select(math12, math12_z) %>% + head() + +# See the overall average and standard deviation +school_data_scaled %>% + summarize(avg = mean(math12), + sd = sd(math12)) +``` + +These z-scores measure how far away each student's score is from the average, or 51.1. Person 1 here is a little bit below the average, Person 2 is fairly higher than the average, Person 3 is almost exactly at the average, and so on. + +The units of these z-scores are technically the number of standard deviations away from the average each person is. The standard deviation of the math scores is 9.5. That means that someone with a z-score of 1 would have a math score of 9.5 higher than the average. If you look at Person 2, they're pretty close to 1, and their score of 59.8 is `r 59.8 - 51.1` points higher than the average of 51.1, which is close to 9.5. If you look at person number 3, their z-score is -0.07, which means that they're just a little bit below the average. More precisely, they're `-0.07 * 9.1` (`r -0.07 * 9.1`) points below the average. + +If you want, you can even transform z-scores back to their original values—multiply the z-score by the standard deviation and add the mean. You can see how that works if we algebraically rearrange the z-score formula so that $x$ (the original value) is on its own: + +$$ +\begin{aligned} +\frac{x - \mu}{\sigma} &= Z \\ +x - \mu &= Z \times \sigma \\ +x &= (Z \times \sigma) + \mu +\end{aligned} +$$ + +For example, Person 2's z-score is 0.925. If we multiply that by the standard deviation ($\sigma$) and add the mean ($\mu$), we should get their original score of 59.8: + +```{r rescale-math-scores} +# This isn't 100% accurate because of rounding +(0.925 * 9.5) + 51.1 + +# Fortunately R stores the mean and standard deviation of scaled columns as +# special invisible attribute that we can extract and use: +math_sigma <- attr(school_data_scaled$math12_z, "scaled:scale") +math_mu <- attr(school_data_scaled$math12_z, "scaled:center") +# These are also just the mean and sd of the original math column + +person2_score <- school_data_scaled %>% + slice(2) %>% pull(math12_z) + +(person2_score * math_sigma) + math_mu +``` + +So how do these scaled z-scores compare with the actual scores? Let's look at the distribution: + +```{r plot-math-diff-scaled} +math_averages_scaled <- school_data_scaled %>% + group_by(catholic_f) %>% + summarize(avg_z = mean(math12_z)) +math_averages_scaled + +ggplot(school_data_scaled, aes(x = math12_z, fill = catholic_f)) + + geom_density(alpha = 0.5) + + geom_vline(data = math_averages_scaled, + aes(xintercept = avg_z, color = catholic_f)) + +model_math_naive_z <- lm(math12_z ~ catholic_f, data = school_data_scaled) +tidy(model_math_naive_z) +``` + +This is the same plot that we saw earlier! The only difference is the x-axis—it now ranges between -2ish and 2ish instead of 30 and 70, since all we really did was transform and scale down the original test scores. They're centered around 0 and are measured in standard deviations now, but deep down inside they're still just the original test scores. The group averages are also measured in standard deviations now too (and we can rescale them back up if we want, too): + +```{r math-rescale-avg} +math_averages_scaled %>% + mutate(avg_rescaled = (avg_z * math_sigma) + math_mu) +``` + +Now instead of saying that the Catholic school "effect" is 3.89 points on the math test, we can say that it's 0.367 standard deviations. + +For fun, we can look at the distribution of malaria risk in the mosquito net data too: + +```{r net-plot-scales, fig.width=8} +nets_scaled <- nets %>% + mutate(malaria_risk_z = scale(malaria_risk)) + +malaria_averages <- nets_scaled %>% + group_by(net) %>% + summarize(avg = mean(malaria_risk), + avg_z = mean(malaria_risk_z)) + +malaria_regular <- ggplot(nets_scaled, aes(x = malaria_risk, fill = net)) + + geom_density(alpha = 0.5) + + geom_vline(data = malaria_averages, + aes(xintercept = avg, color = net)) + + guides(fill = "none", color = "none") + +malaria_scaled <- ggplot(nets_scaled, aes(x = malaria_risk_z, fill = net)) + + geom_density(alpha = 0.5) + + geom_vline(data = malaria_averages, + aes(xintercept = avg_z, color = net)) + +malaria_regular | malaria_scaled +``` + +```{r net-naive-models} +model_net_naive <- lm(malaria_risk ~ net, data = nets_scaled) +tidy(model_net_naive) + +model_net_naive_z <- lm(malaria_risk_z ~ net, data = nets_scaled) +tidy(model_net_naive_z) +``` + +The distributions are identical except for the x-axis, and the difference in means is the same too, just measured slightly differently. The average for net users is 16.3 risk points lower than non-net users, or 1.06 standard deviations lower. + + +### Effect sizes + +But why would we ever want to think about variables on a standard deviation scale (which is weird) rather than the original scale (which makes more sense)?! + +One of the main reasons is that using standard deviations makes it so effect sizes are comparable across different kinds of variables. In this study, math scores were measured on a scale that ranges from 30–70, but what if another study uses math scores that range from 0–20? The Catholic school effect on that scale is probably not going to be almost 4—that would be a *huge* amount. To make things comparable across these two different kinds of math scores, we can scale them down so that we look at their averages and standard deviations. Presumably, assuming the Catholic effect really is 4 points (it's not), or 0.367 standard deviations, it should also increase test scores by 0.367 standard deviations for students taking the 0–20 test (or on any kind of math test). + +You can think of this value as the **standardized mean difference** between the two groups. It's standardized so it can theoretically apply to other kinds of scales. Thinking about effect sizes on a standard deviation scale gives us a common vocabulary for talking and thinking about how interventions or programs can change outcomes. + +There's even a formal measure for talking and thinking about effect sizes called Cohen's *d* (*d* = difference), which measures the sizes of effects based essentially on their z-scores. Officially, Cohen's *d* is calculated like this: + +$$d = \frac{\overbrace{\bar{x}_2 - \bar{x}_1}^{\substack{\text{Difference in} \\ \text{group averages}}}}{\underbrace{s}_{\substack{\text{Standard} \\ \text{deviation of} \\ \text{combined} \\ \text{groups}}}}$$ + +There are general rules of thumb for interpreting these values: + +```{r cohens-d-table, echo=FALSE, warning=FALSE, message=FALSE} +library(kableExtra) + +tribble( + ~`Effect size`, ~`d`, + "Very small", 0.01, + "Small", 0.20, + "Medium", 0.50, + "Large", 0.80, + "Very large", 1.20, + "Huge", 2.0, +) %>% + kbl(escape = FALSE) %>% + kable_styling(full_width = FALSE, position = "center") +``` + +Based on this table, our (incorrect) Catholic school effect of 0.367 standard deviations is actually somewhere between a small and medium effect. + +{{% div warning %}} + +**QUICK IMPORTANT CAVEAT**: Technically for mathy reasons, Cohen's *d* is [not exactly comparable](https://www.researchgate.net/post/How_can_I_calculate_an_effect_size_cohens_d_preferably_from_a_linear_random_effects_model_beta) to just looking at the number of standard deviations between the averages, but it's a good way of thinking about effect sizes. If you want to be official about it, one way to get Cohen's *d* from regression output is to divide the coefficient (which is like $\bar{x}_2 - \bar{x}_1$ in the formula) by the residual standard error of the model (which is like $s$ in the formula). You can get these from `tidy()` and `glance()`: + +{{% /div %}} + +```{r cohens-d-from-regression} +tidy(model_math_naive) +glance(model_math_naive) # We want sigma here +3.89 / 9.43 + +# Or more programmatically without handwritten numbers +catholic_coef <- tidy(model_math_naive) %>% filter(term == "catholic_fCatholic") %>% pull(estimate) +catholic_sigma <- glance(model_math_naive) %>% pull(sigma) +catholic_coef / catholic_sigma + +net_coef <- tidy(model_net_naive) %>% filter(term == "netTRUE") %>% pull(estimate) +net_sigma <- glance(model_net_naive) %>% pull(sigma) +net_coef / net_sigma +``` + +Our official effect size for Catholic schools is thus `r catholic_coef / catholic_sigma`, which is still between a small and medium effect. For mosquito nets, the effect size is 1.2, which is very large. (Again, all these effects are technically wrong and full of confounding! We'll fix that in a minute.) + +{{% div warning %}} + +**ANOTHER QUICK IMPORTANT CAVEAT**: Cohen's *d* (and other standardized measures of effect size) [are criticized for being too clear cut, too restrictive, and devoid of context](https://easystats.github.io/effectsize/articles/interpret.html). Cohen himself disavowed them! A 0.4 SD boost in math scores (or 4ish points) in Catholic schools might actually be groundbreaking and earth shattering for people interested in educational outcomes, despite the fact that it's considered a "small" effect. Plus, seeing huge 2+ standard deviations in the real world is going to be rare for any program or intervention—it's highly unlikely that a program will move the needle *that much* for an outcome. So don't overinterpret these rules of thumb! + +{{% /div %}} + +So, as an alternative to thinking about absolute effects (mosquito nets reduce the risk of malaria by X points; Catholic schools boost math scores by X points), we can think about relative effects (mosquito nets reduce the risk of malaria by X standard deviations below the average; Catholic schools boost math scores by X standard deviations above the average). We can think about this as the **standardized mean difference** between the treated and untreated groups (nets vs. no nets; Catholic vs. public high schools). + +I promise this is all important and relevant for sensitivity analysis! + +### Partial $R^2$ + +One last bit of background before we get to the actual sensitivity analysis. Remember from [these slides in Session 2](/slides/02-class.html#20) that we can imagine $R^2$ like a Venn diagram—that each variable we add to a model explains some proportion of the variation in the outcome. + +For instance, our naive Catholic schools model explains just 1.6% of the variation in math scores, and our mosquito net model explains 26.5% of the variation in malaria risk. + +```{r naive-r2} +glance(model_math_naive) + +glance(model_net_naive) +``` + +Adding more variables to these models will increase the amount of variation explained by the model. For instance, let's control for some stuff in the malaria risk model: + +```{r nets-more-controls} +model_some_controls <- lm(malaria_risk ~ net + income + health, + data = nets) +glance(model_some_controls) +``` + +By controlling for income and health, we now explain 81.5% of the variation in malaria risk. That's a pretty big jump in $R^2$. Where'd it come from? Which of those new variables explained that additional variation? + +One way to figure this out is to calculate something called the **partial** $R^2$. To do this, we essentially fit a bunch of variations of the model and leave out individual variables one at a time and note the $R^2$ each time. That's tedious to do manually, but the `rsq.partial()` function from [the **rsq** library](https://cran.r-project.org/web/packages/rsq/) can do it for us: + +```{r partial-net-r2} +library(rsq) + +rsq.partial(model_some_controls) +``` + +Note how there's one partial $R^2$ for each variable here. Also note that these don't add up to the original $R^2$ of 0.815. [They shouldn't (and won't) add up to the actual full](https://stats.stackexchange.com/a/155508/3025) $R^2$. What these show is *roughly* what the $R^2$ would be for each variable after accounting for the combined $R^2$ of all the other variables. + +So in this case, net use by itself (after accounting for income and health) would explain 40% of the variation in malaria risk, while income would explain a lot more (64.3%; it's a super powerful predictor here). Health doesn't do much. + +This isn't a 100% correct interpretation of partial $R^2$ values and there are some missing nuances, but that's okay—all that matters for the sensitivity analysis we'll do is that you think about how adjusting for additional confounders might influence the amount of variation explained in the outcome. + + +## Estimation of causal effects + +PHEW that was a lot of background information, but it's useful and important, so. Let's finally adjust for confounders and estimate causal effects in both the mosquito net and Catholic schools examples. We'll use [inverse probability weighting](/example/matching-ipw/#inverse-probability-weighting) just because—we could also use matching or other techniques, but IPW is fun. Consult [the IPW guide](/example/matching-ipw/#inverse-probability-weighting) for complete details about everything happening here. + +### Fake mosquito net program + +Based on the DAG above, we need to adjust for income, nighttime temperatures, and health. We'll first create a treatment model that predicts net usage using those confounders, then we'll generate inverse probability of treatment weights, and then we'll use those weights in an outcome model that estimates the effect of net usage on malaria risk. + +```{r ate-net} +# Estimate causal effect of net use on malaria risk +# Treatment model +model_net_treatment <- glm(net ~ income + temperature + health, + data = nets, + family = binomial(link = "logit")) + +# Propensity scores and inverse probability of treatment weights (IPTW) +net_iptw <- augment(model_net_treatment, nets, type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(iptw = (net_num / propensity) + ((1 - net_num) / (1 - propensity))) + +# Outcome model +model_net_ate <- lm(malaria_risk ~ net, + data = net_iptw, + weights = iptw) + +tidy(model_net_ate, conf.int = TRUE) + +glance(model_net_ate) +``` + +After closing all known backdoors between treatment and outcome, the average treatment effect of using a mosquito net is a 10.1-point reduction in malaria risk. + +We can convert this to a standardized mean difference (or Cohen's *d* effect size) by dividing the coefficient by the residual standard error (or `sigma` in the results of `glance()`): + +```{r ate-net-z} +-10.1 / 19.5 +``` + +Looking back at the widely-used-but-overly-conservative table of effect sizes, that's only a medium effect size. But given how effective it is and how cheap nets are, it's actually probably a really good finding. + +We can visualize this effect using density plots since `geom_density()` actually lets you specify weights. We can also calculate the net vs. no net averages while incorporating these weights using the `weighted.mean()` function. + +```{r ate-net-density, fig.width=8} +net_ate_averages <- net_iptw %>% + mutate(malaria_risk_z = scale(malaria_risk)) %>% + group_by(net) %>% + summarize(avg = mean(malaria_risk), # Unadjusted naive difference + avg_wtd = weighted.mean(malaria_risk, w = iptw), # Adjusted difference + avg_z = mean(malaria_risk_z), # Unadjusted naive difference, z-scores + avg_wtd_z = weighted.mean(malaria_risk_z, iptw)) # Adjusted difference, z-scores +net_ate_averages + +net_ate_density <- ggplot(net_iptw, aes(x = malaria_risk, fill = net)) + + geom_density(aes(weight = iptw), alpha = 0.5) + + geom_vline(data = net_ate_averages, + aes(xintercept = avg_wtd, color = net)) + + guides(fill = "none", color = "none") + +net_ate_z_density <- ggplot(net_iptw, aes(x = scale(malaria_risk), fill = net)) + + geom_density(aes(weight = iptw), alpha = 0.5) + + geom_vline(data = net_ate_averages, + aes(xintercept = avg_wtd_z, color = net)) + +net_ate_density | net_ate_z_density +``` + +Cool cool. We can see the difference in means after accounting for confounders with inverse probability weighting, resulting in a standardized mean difference of `r -0.391 - 0.265` (`-0.391 - 0.265`), or an effect size / Cohen's *d* of 0.52. + +### Real Catholic schools + +We haven't drawn a formal DAG for the effect of Catholic schools on math scores, and we won't here. Instead we'll just copy what the original authors used as confounders and assume that it's right. It's probably not, but that's okay for this example here: + +- Income (squared) +- Income × 8th grade math +- Father's support +- Mother's support +- Fighting behavior +- Homework non-completion +- Disruptiveness +- Drop-out risk factors + +Once again, we'll first create a treatment model that predicts Catholic school attendance using those confounders, then we'll generate inverse probability of treatment weights, and then we'll use those weights in an outcome model that estimates the effect of Catholic schools on 12th grade math scores. + +```{r ate-school} +# Estimate causal effect of Catholic schools on math scores +# Treatment model +model_school_treatment <- glm(catholic ~ I(inc8^2) + (inc8*math8) + fhowfar + + mhowfar + fight8 + nohw8 + disrupt8 + riskdrop8, + data = school_data, + family = binomial(link = "logit")) + +# Propensity scores and inverse probability of treatment weights (IPTW) +school_iptw <- augment(model_school_treatment, school_data, + type.predict = "response") %>% + rename(propensity = .fitted) %>% + mutate(iptw = (catholic / propensity) + ((1 - catholic) / (1 - propensity))) + +# Outcome model +model_school_ate <- lm(math12 ~ catholic, + data = school_iptw, + weights = iptw) + +tidy(model_school_ate, conf.int = TRUE) + +glance(model_school_ate) +``` + +After closing all known backdoors between treatment and outcome (we hope!), the average treatment effect of attending a Catholic school is a 1.47-point increase in 12th grade math scores. + +We can convert this to a standardized mean difference (or Cohen's *d* effect size) by dividing the coefficient by the residual standard error (or `sigma` in the results of `glance()`): + +```{r ate-school-z} +1.47 / 13.1 +``` + +Based on this, Cohen's *d* is 0.11, which is a very small effect! + +We can visualize this effect using density plots since `geom_density()` actually lets you specify weights. We can also calculate the Catholic vs. public averages while incorporating these weights using the `weighted.mean()` function. + +```{r ate-school-density, fig.width=8} +school_ate_averages <- school_iptw %>% + mutate(math12_z = scale(math12)) %>% + group_by(catholic) %>% + summarize(avg = mean(math12), # Unadjusted naive difference + avg_wtd = weighted.mean(math12, w = iptw), # Adjusted difference + avg_z = mean(math12_z), # Unadjusted naive difference, z-scores + avg_wtd_z = weighted.mean(math12_z, iptw)) # Adjusted difference, z-scores +school_ate_averages + +school_ate_density <- ggplot(school_iptw, aes(x = math12, fill = factor(catholic))) + + geom_density(aes(weight = iptw), alpha = 0.5) + + geom_vline(data = school_ate_averages, + aes(xintercept = avg_wtd, color = factor(catholic))) + + guides(fill = "none", color = "none") + +school_ate_z_density <- ggplot(school_iptw, aes(x = scale(math12), fill = factor(catholic))) + + geom_density(aes(weight = iptw), alpha = 0.5) + + geom_vline(data = school_ate_averages, + aes(xintercept = avg_wtd_z, color = factor(catholic))) + +school_ate_density | school_ate_z_density +``` + +We can see the difference in means after accounting for confounders with inverse probability weighting, resulting in a standardized mean difference of `r 0.139 - -0.0153` (`0.139 - -0.0153`), or an effect size / Cohen's *d* of 0.11. + + +## Sensitivity analysis with **tipr** + +We have average treatment effects, but we're not certain that we've actually dealt with all the confounding. There could be an unmeasured node—or lots of unmeasured nodes!—that would actually explain away the causal effect we've found. + +For the sake of simplicity, let's imagine there's one unobserved confounder (Z). Because it's a confounder, it has a causal effect on both treatment (X) and outcome (Y): + +```{r show-confounder, echo=FALSE, fig.height=3, fig.width=4} +data_confounder <- dagify( + Y ~ Z + X, + X ~ Z, + exposure = "X", + outcome = "Y", + latent = "Z", + coords = list(x = c(X = 0, Y = 2, Z = 1), + y = c(X = 0, Y = 0, Z = 1)) +) %>% + tidy_dagitty() %>% + node_status() %>% + mutate(arrow_color = ifelse(name == "Z", "orange", "grey80")) %>% + mutate(node_color = ifelse(name == "Z", TRUE, FALSE)) + +ggplot(data_confounder, aes(x = x, y = y, xend = xend, yend = yend)) + + geom_dag_edges(aes(edge_colour = arrow_color), edge_width = 1) + + geom_dag_point(aes(color = node_color), size = 12) + + geom_dag_text(data = filter(data_confounder, name != "Z"), size = 4) + + geom_dag_text(data = filter(data_confounder, name == "Z"), color = "white", size = 4) + + scale_color_manual(values = c("grey80", "orange"), guide = "none") + + theme_dag() +``` + +When Z moves up or down, X and Y both move too. You can even imagine this relationship like regression. If you ran a model like this… + +```r +lm(Y ~ Z) +``` + +…the coefficient for Z would show how much Y would change. You could say "A 1-unit change in Z is associated with a β-unit change in Y". + +Moving Z would also influence X, but we want to think about this movement a little differently since X is our treatment/program with exposed and unexposed observations. Instead of thinking about regression coefficients, think of this as the difference between the unmeasured confounder in the treated population and the untreated population. There could be a substantial 1 standard deviation difference in Z across the groups, or maybe a small 0.1 standard deviation difference. + +As a formula, we can think of this scaled mean difference like this: + +$$\text{SMD} = \frac{\bar{Z}_{\text{Treated}} - \bar{Z}_{\text{Untreated}}}{\sigma_Z}$$ + +The coefficient for Z here would show the scaled mean difference across the two groups in X (this also works with continuous X values!). You can say "There's a scaled mean difference of µ across treated and untreated groups in Z" + +Both of these arrows are related. If Z leads to some change in Y, it'll also lead to some change in the scaled mean difference across treated and untreated in Z. + +```{r show-tipr, echo=FALSE, fig.height=3.5, fig.width=6} +library(ggtext) + +ggplot(data_confounder, aes(x = x, y = y, xend = xend, yend = yend)) + + geom_dag_edges(aes(edge_colour = arrow_color), edge_width = 1) + + geom_dag_point(aes(color = node_color), size = 12) + + geom_dag_text(data = filter(data_confounder, name != "Z"), size = 4) + + geom_dag_text(data = filter(data_confounder, name == "Z"), color = "white", size = 4) + + scale_color_manual(values = c("grey80", "orange"), guide = "none") + + annotate(geom = "richtext", x = 1.6, y = 0.6, + label = "Outcome association
    The β in lm(Y ~ Z)") + + annotate(geom = "richtext", x = 0.4, y = 0.6, + label = "Scaled mean difference
    mean(ZTreated) − mean(ZUntreated)") + + theme_dag() +``` + +If we consider both of these arrows (Z → Y and Z → X) we can actually determine how much an unmeasured Z would have to either influence Y or influence X in order to erase, explain away, or "tip" the causal effect. + +To make this easy, we can use the super useful [**tipr** package](https://github.com/LucyMcGowan/tipr) by [Lucy D'Agostino McGowan](https://livefreeordichotomize.com/), which implements an approach to sensitivity analysis first presented by @LinPsatyKronmal:1998. With **tipr**, we can do one of these things: + +- Specify a hypothetical outcome association (the β in `lm(Y ~ Z)`) to see how big the scaled mean difference would have to be to tip our results +- Specify a hypothetical scaled mean difference to see how big the outcome association would have to be to tip our results +- Specify both a hypothetical scaled mean difference *and* an outcome association to see how many similar confounders would have to exist to tip our results + +Our goal with **tipr** is to find what kind of unmeasured Z would change the causal effect enough so that its confidence interval includes 0 (and is thus no longer statistically significant) + +There are a lot of other ways to use **tipr**, with different combinations of binary and continuous treatments and outcomes, but the most general way I've found (given that we work with regression so much in this class) is to use the `lm_tip()` function. [Check out the README](https://github.com/LucyMcGowan/tipr) for examples of all the other approaches. + +Let's try it out! + + +### Fake mosquito net program + +To calculate different tipping points, we need to specify the confidence intervals of our causal effect. The easiest way to do that is to use `tidy(..., conf.int = TRUE)` and then filter those results so that we're just looking at our causal effect (`netTRUE` in this case). We can then feed those results to `lm_tip()`, which handles the sensitivity analysis for us. + +For instance, let's pretend that there's an unmeasured confounder that has an outcome association of 5. For every one unit increase in this Z, malaria risk would increase by 5 points. If that was the case, how much of a difference in net usage would there be across this Z? + +```{r tipr-net-outcome-5} +library(tipr) + +tidy(model_net_ate, conf.int = TRUE) %>% + filter(term == "netTRUE") %>% + lm_tip(outcome_association = 5) +``` + +The output of **tipr** gives us a bunch of useful information. Our confidence interval ranges from -11.5ish to -9ish. Our causal effect would get tipped (i.e. include 0) if the β in `lm(Y ~ Z)` was 5 *and* the standardized mean difference (`smd`) in Z across treated and untreated groups was 1.77. That's potentially a pretty big difference! + +To illustrate this, let's pretend that Z is something like years of education, with a mean of 15 and a standard deviation of 1.5. We'd need to see a standardized mean difference of 1.77 in Z across net users and net non-users. We can transform that 1.77 standardized difference into years of education by multiplying `1.77 * 1.5`, or `r 1.77 * 1.5`. That means we'd need to see a difference of almost 3 years in years of education between net users and net non-users. It might look something like this: + +```{r fake-net-smd} +fake_net_z <- tibble(net = sample(0:1, 1000, replace = TRUE)) %>% + mutate(z = rnorm(n(), mean = 15 + (1.77 * 1.5 * net), sd = 1.5)) + +fake_net_averages <- fake_net_z %>% + group_by(net) %>% + summarize(avg = mean(z)) + +ggplot(fake_net_z, aes(x = z, fill = factor(net))) + + geom_density(alpha = 0.5) + + geom_vline(data = fake_net_averages, aes(xintercept = avg, color = factor(net))) +``` + +We'd also need to assume that that disparity in net usage would need to be caused directly by years of education—that education causes a huge uptick in net use. + +**tipr** tells you nothing about the plausibility of these results! It just says that if something had a β = 5 association with malaria risk, there'd have to be a 1.77 standardized mean difference in Z to break the causal effect. You decide how likely that is. + +If you don't want to think about standardized mean differences, you can think about hypothetical βs instead. Let's say you pretend that there's a 0.5 SMD difference across treated and untreated values in your unknown confounder. How big would the β need to be in a regression of `lm(malaria_risk ~ Z)`? + +```{r tipr-smd-0-5} +tidy(model_net_ate, conf.int = TRUE) %>% + filter(term == "netTRUE") %>% + lm_tip(smd = 0.5) +``` + +17.7! A 1-unit change in this confounder would need to lead to a 17.7-point change in risk. That seems big. Maybe even implausible. + +How big are the other βs in our model? We can't really tell since our outcome model only has `lm(malaria_risk ~ net)`, but we can run a temporary model with all our confounders as controls to get a sense of how big they are: + +```{r temporary-outcome-association-model-net} +lm(malaria_risk ~ net + income + temperature + health, + data = net_iptw) %>% + tidy() +``` + +None of those are really close at all. The net effect is huge at 10.4, but the others are all tiny—temperature comes the closest with 1.01, but that's pretty far from 17.7. If you can think of some sort of confounder (or lots of confounders) that could be associated with the outcome at 17.7, tipping is plausible. Here, it's not. (Again, this all assumes a 0.5 SD difference between treated and untreated people in this unknown confounder Z.) + +These two numbers—the standardized mean difference and the outcome association—are directly related. Look at this graph, for instance: + +```{r tipr-combinations-net, fig.width=6, fig.height=4.5} +plot_stuff <- tidy(model_net_ate, conf.int = TRUE) %>% + filter(term == "netTRUE") %>% + lm_tip(smd = seq(0.05, 3, by = 0.05), verbose = FALSE) + +ggplot(plot_stuff, aes(x = smd, y = abs(outcome_association))) + + geom_line(size = 1.5, color = "orange") + + labs(x = "Standardized mean difference\nacross treated/untreated in Z\n(think of this kind of like Cohen's d)", + y = "Association of unknown confounder with outcome\n(think of this like the β in a regression of lm(Y ~ Z))") +``` + +As the standardized mean difference (i.e. the difference between net users and net non-users across education) gets bigger, the required size of the outcome association β shrinks. That's because a huge SMD is sufficient to tip the results. Conversely, a huge outcome association β makes it so you don't need a large SMD to tip the results. Small numbers of each won't tip the results. + +So far this all assumes that we have a single unmeasured confounder. That's not super plausible. If we specify both a hypothetical SMD and a hypothetical outcome association, we can calculate how many similarly-sized confounders would need to exist to tip the results. For instance, let's say we're worried that there are a bunch of confounders with a small level of association with the outcome, like -0.3 (that's like twice the size of the `health` coefficient from the model above), and we assume that each of these confounders has a treated vs. untreated SMD of 0.5. How many of these confounders would need to exist in order to break our results? + +```{r tipr-n-confounders-net} +tidy(model_net_ate, conf.int = TRUE) %>% + filter(term == "netTRUE") %>% + lm_tip(smd = 0.5, outcome_association = -0.3) +``` + +Phew. We'd need basically 59 (58.9) separate confounders with similar characteristics in order to tip our results and make the ATE not significant. That seems like a lot. + +Based on this sensitivity analysis, then, I feel fairly confident that unmeasured confounders aren't going to mess up our results. The ATE from the IPW model is -10.1, and unmeasured confounders might shrink that down a little, but getting that down near zero will require *a lot* of unmeasured confounding. (This isn't surprising since it's overly perfect fake data.) + + +### Real Catholic schools + +Let's try using **tipr** with our Catholic schools ATE. To get a sense of how big our existing confounders are currently, we'll run a temporary model instead of using the 2-step IPW model + +```{r temporary-outcome-association-model-school} +lm(math12 ~ catholic + I(inc8^2) + (inc8*math8) + fhowfar + + mhowfar + fight8 + nohw8 + disrupt8 + riskdrop8, + data = school_iptw) %>% + tidy() +``` + +Those are all fairly small βs. The largest ones apart from the intercept and our treatment variable are `nohw8` at -1.25 and `math8` at 0.815. What if we had an unmeasured confounder that was twice the size of `math8` at 1.6 (i.e. a 1-unit change in this mystery variable leads to a 1.6-point change in test scores)? + +```{r tipr-school-outcome-1-6} +tidy(model_school_ate, conf.int = TRUE) %>% + filter(term == "catholic") %>% + lm_tip(outcome_association = 1.6) +``` + +If that were the case, we'd need to see an SMD of 0.617 in the unknown variable across treated and untreated units. That seems potentially plausible. Again, think back to the hypothetical years of education example from the net sensitivity analysis. Let's pretend that years of mother's education is normally distributed with a mean of 15 and a standard deviation of 1.5. We can transform that 0.617 standardized difference into years of education by multiplying `0.617 * 1.5`, or `r 0.617 * 1.5`. That means we'd need to see a difference of almost 1 year of mother's education between Catholic and public school students. That seems eminently plausible. + +What if we think that 1.6 might be too high for a coefficient and we bump it down to 0.8, like 8th grade math scores? + +```{r tipr-school-outcome-0-8} +tidy(model_school_ate, conf.int = TRUE) %>% + filter(term == "catholic") %>% + lm_tip(outcome_association = 0.8) +``` + +The SMD would need to be higher, but not super high. Assuming a unknown variable like our imaginary years of mother's education, that would look like a difference of `1.23 * 1.5`, or `r 1.23 * 1.5` years. Again, that might be plausible. Especially since so far we're only thinking about a *single* unmeasured confounder. + +We can also solve for different values of the outcome association β. For instance, if we assume an SMD of 0.5 (half a standard deviation), how big would the β need to be in a regression of `lm(math12 ~ Z)`? + +```{r tipr-school-smd-0-5} +tidy(model_school_ate, conf.int = TRUE) %>% + filter(term == "catholic") %>% + lm_tip(smd = 0.5) +``` + +Yikes. We'd only need a β of 1.98. Again, that's larger than any of our existing βs for now (homework non-completion comes closest at 1.25), but it seems fairly reasonable. Again, we're only thinking about a single hypothetical unmeasured confounder here—adding more will decrease that hypothetical β even more. + +Here are all the combinations of SMD and outcome association that would tip our ATE: + +```{r tipr-combinations-school, fig.width=6, fig.height=4.5} +plot_stuff <- tidy(model_school_ate, conf.int = TRUE) %>% + filter(term == "catholic") %>% + lm_tip(smd = seq(0.05, 3, by = 0.05), verbose = FALSE) + +ggplot(plot_stuff, aes(x = smd, y = abs(outcome_association))) + + geom_line(size = 1.5, color = "orange") + + labs(x = "Standardized mean difference\nacross treated/untreated in Z\n(think of this kind of like Cohen's d)", + y = "Association of unknown confounder with outcome\n(think of this like the β in a regression of lm(Y ~ Z))") +``` + +At the extreme, if there's absolutely no difference between treated and untreated within our unmeasured Z, we'd need a β of 20ish to tip the results. That drops pretty rapidly too—a smaller SMD of 0.3 would need a β of ≈3 to tip. + +Again, this is all just with one unmeasured confounder. What if there are a bunch of confounders, all with an SMD of 0.3 and little βs like 0.4? + +```{r tipr-n-confounders-school} +tidy(model_school_ate, conf.int = TRUE) %>% + filter(term == "catholic") %>% + lm_tip(smd = 0.3, outcome_association = 0.4) +``` + +We'd need just 8 of those kinds of confounders to tip the results and move the ATE into the world of nonsignificance. + +Based on this sensitivity analysis, I don't feel super confident that unmeasured confounders aren't going to mess up the results. It doesn't take too much to push that 1.4-point ATE near 0. + + +## Sensitivity analysis with **sensemakr** + +An alternative way to think about the power of an unmeasured confounder is to think about how much variation in the treatment and outcome might be explained by adding unknown variables, instead of thinking about standardized mean differences and outcome association βs. This involves thinking about $R^2$ and partial $R^2$ (that's why we reviewed it way at the beginning of this example!). + +A new method proposed by Carlos Cinelli and Chad Hazlett [@CinelliHazlett:2020]—and an accompanying [R package named **sensemakr**](https://carloscinelli.com/sensemakr/)—lets us do just that. We get a few specific numbers called **robustness values** that we can use to think about tipping thresholds. We can explore a few different questions with this kind of sensitivity analysis: + +1. How strong would a confounder (or lots of confounders) have to be to change the effect so that it's either 0, or so that its confidence interval includes 0 and is thus no longer statistically significant? +2. In a worst case scenario, how likely is it that unobserved confounders could all act together to eliminate the effect? +3. How plausible are these scenarios? + +**sensemakr**'s main contribution to the world of sensitivity analysis is that it's much more formalized in its approach and its results. The authors [show that imagining different possible values that coefficients can take](https://carloscinelli.com/sensemakr/articles/informal_benchmarking.html) (kind of like what we did with **tipr**) can lead to erroneous results since that approach isn't really systematic. With **sensemakr**, though, you get hard, specific bounds for the different values of $R^2$ and how omitted confounders can bias your results. + +The best overview of how **sensemakr** works is [this short presentation](https://www.youtube.com/watch?v=p3dfHj6ki68) by Carlos Cinelli from 2020. You should ***absolutely*** watch it (especially from 3:00–13:00). There's also [an example with code here](http://carloscinelli.com/sensemakr/articles/sensemakr.html), and [their full paper is here](https://www.researchgate.net/publication/340965014_sensemakr_Sensitivity_Analysis_Tools_for_OLS_in_R_and_Stata) (see the section called "Simple measures for routine reporting" in particular). + + + +\ + +Let's explore the robustness of our two causal effects with **sensemakr*! + +### Fake mosquito net program + +First we'll look at how robust our mosquito net ATE is. To start, we need to feed the `sensemakr()` function a few different arguments: + +- `model`: The model object that has the ATE in it. Importantly, this needs to have other coefficients in it to work. Our existing `model_net_ate` thus won't work, since it only has one explanatory variable in it: `lm(malaria_risk ~ net, weights = iptw)`. **sensemakr** doesn't work with models like this, so we need to create a new model where we control for all our confounders instead of using matching or IPW. This will change the ATE a little, but that's okay! The point of using **sensemakr** isn't to estimate exact causal effects (we've already done that). Our goal with **sensemakr** is to, um, make sense of the results and learn what is needed to break them. We'll get bounds and partial $R^2$s that will be roughly the same across different types of ATEs (based on regression, matching, or IPW), so don't worry about the discrepancy too much. + + Also, for whatever reason, **sensemakr** doesn't work with non-numeric treatment variables. Previously we used `net`, which is a TRUE/FALSE binary variable. Here we need to use `net_num`, which is a 0/1 numeric variable. + +- `treatment`: The name of the treatment variable. Again, this has to be numeric, not a factor or TRUE/FALSE. + +- `benchmark_covariates`: The name of 1 or more existing confounders that we want to use as a baseline comparison. In the video above, this was `gender`. Typically you want to use a variable that has a substantial impact on the treatment and outcome already, since you can then say things like "an unmeasured confounder the same strength as gender (or twice as strong as gender, or whatever) would change the results by some amount". + +- `kd`: Hypothetical strengths of the unknown confounder relative to the benchmark covariates. If you want to see what would happen if the unmeasured confounder were 1x, 2x, and 3x stronger than gender, for instance, you'd use `kd = c(1, 2, 3)` or `kd = 1:3`. + +First, we'll need to rerun our model in a single step instead of using a treatment model and an outcome model weighted by inverse probability weights. Again, this won't give the exact ATE as before, but it's okay for this this sensitivity analysis. We'll also look at the partial $R^2$s to get a sense for how much variation each of these these different variables explain: + +```{r sense-net-model, warning=FALSE, message=FALSE} +library(sensemakr) +library(rsq) + +model_net_controls <- lm(malaria_risk ~ net_num + income + temperature + health, + data = net_iptw) + +tidy(model_net_controls) + +rsq.partial(model_net_controls) +``` + +Our ATE is roughly the same (-10.4 now instead of -10.1), which is fine. The partial $R^2$s here are interesting. By itself, net use has a fairly high $R^2$ with 0.47. Temperature is a little less powerful with 0.38, health has 0.10, while income has an astoundingly high partial $R^2$ of 0.75! Again, this is because this is overly perfect fake data. + +Now we can feed this model to `sensemakr()`. We'll use income as our benchmark covariate since it's so strong—it's hard to imagine that there might be confounders as strong as income. We'll also change the `kd` argument. Income happens to be so strong in this case, that thinking about an unknown confounder as strong as income breaks the function, and thinking about a confounder 2x or 3x as strong as income super breaks the function (I only discovered this because I tried `kd = 1:3` and `sensemakr()` yelled at me, so I bumped the `kd` values down until it worked). Here, we'll see what would happen if an unknown confounder was 10%, 20%, and 30% as strong as income. + +```{r sense-net} +net_sensitivity <- sensemakr(model = model_net_controls, + treatment = "net_num", + benchmark_covariates = "income", + kd = c(0.1, 0.2, 0.3)) +net_sensitivity +``` + +Printing out the results like this shows us a bunch of different estimates and robustness values, but I like the minimal reporting table that Carlos used in his video, so let's look at that instead (ignore the slashes in front of each %; that's a weird side effect of using this table in a knitted blogdown page) + +```{r sense-net-table, results="asis"} +ovb_minimal_reporting(net_sensitivity, format = "pure_html") +``` + +Cool, let's interpret this, following the pattern from the video. The last three columns of this table are the sensitivity statistics that we care about: + +- $R^2_{Y \sim D \mid X}$ is the partial $R^2$ of the treatment with the outcome. In an extreme scenario, even if unobserved confounders explained all the remaining variation in malaria risk, they would need to explain at least 47.1% of the unexplained (or residual) variation in net usage in order to bring the estimated effect down to 0. This is the **bare minimum strength** of confounders required to explain away the effect. + +- $\text{RV}_{q = 1}$ is the robustness value. If unmeasured confounders could explain 59.8% of *both* the residual variation of malaria risk and of net use, it would be enough to bring the effect down to 0. Importantly, at least one of these hypothetical unmeasured confounders would have to have a partial $R^2$ higher than 0.598. + +- $\text{RV}_{q = 1, \alpha = 0.05}$ is a version of the robustness value that would make it so the 95% confidence interval of the effect includes 0 (the full RV makes it so the effect itself is 0). If unmeasured confounders could explain 58% of *both* the residual variation of malaria risk and of net use, it would be enough to make the confidence interval of the effect include 0. Importantly, at least one of these hypothetical unmeasured confounders would have to have a partial $R^2$ higher than 0.58. + +(Fun fact! You can get automatically generated interpretations of these values if you run `summary(net_sensitivity)`. I won't do that here, since it creates a ton of text, but you should!) + +Are 47.1% and 59.8% big and plausible numbers for this situation? Who knows. This is where your knowledge about how malaria risk and mosquito nets comes into play. The hypothetical bounds we provided (i.e. 10% the strength of income) provide formal ways of looking at how plausible these robustness values are. + +The little note at the bottom of the table shows us two different bounds. A confounder a tenth as strong as income can explain *at most* 31% of the residual variation of the outcome and 0.1% of the residual variation in the treatment. Mathematically, that's all it could possibly explain. + +Because both of these values are lower than the RV of 59.8%, we can safely conclude that the result is robust to a confounder a tenth as strong as income. Also, since the treatment bound of 0.1% is lower than the partial $R^2$ value of 47.1%, we can conclude that the effect is robust to a worst case scenario with a confounder a tenth as strong as income. + +Finally, we can make a neat plot to show how the effect would change and how likely it could be to tip. + +```{r sense-net-plot, fig.height=6} +plot(net_sensitivity) +``` + +Each contour in the plot shows a value of the ATE. The black triangle shows the current ATE (rounded to -11 here), and the red diamonds show what the ATE would be if a confounder a tenth as strong as income, 20% the strength of income, and 30% the strength of income was included. Adding something like this wouldn't really change the results much at all—all the diamonds are still below the -10 ATE, and none of them really push the results towards 0. In fact, an ATE = 0 curve doesn't even appear on the plot—the lowest ATE we could possibly get if is -3, and that's only if there's a hypothetical confounder that explains almost 100% of the variation in outcome and 40% of the variation in treatment. + +So how confident are we that unobserved confounding won't mess up our results? Pretty pretty confident. We'd need some hugely correlated confounding variables to make any sort of dent in the ATE. Neat. + + +### Real Catholic schools + +How does **sensemakr** work with real data? Let's throw our Catholic schools ATE at it and see. + +First we'll rerun the model with all the controls rather than weighting with IPW, and we'll look at the partial $R^2$s to get a sense of how much variation in math scores each of these variables explains. + +```{r sense-school-model} +model_school_controls <- lm(math12 ~ catholic + I(inc8^2) + (inc8*math8) + fhowfar + + mhowfar + fight8 + nohw8 + disrupt8 + riskdrop8, + data = school_iptw) + +tidy(model_school_controls) + +# These will show up with scientific notation like 7.0e-03, so we can round them +rsq.partial(model_school_controls) + +round(rsq.partial(model_school_controls)$partial.rsq, 5) +``` + +Whoa, these are some tiny partial $R^2$s. Catholic schools by themselves explain 0.697% of the variation in math scores, and most of the other covariates have similarly small values. The strongest variable here is `math8`, which explains 28.9% of the variation in 12th grade math scores on its own. Theoretically that makes sense—your math scores in 8th grade are probably strongly correlated with your math scores in 12th grade. We'll use 8th grade math scores as our benchmark, since it's hard to imagine a confounder stronger than that. We'll look at hypothetical confounders that are the same strength and twice as strong as `math8`. + +```{r sense-school} +school_sensitivity <- sensemakr(model = model_school_controls, + treatment = "catholic", + benchmark_covariates = "math8", + kd = 1:2) + +school_sensitivity +``` + +Here's the minimal reporting table that we can use to interpret these things: + +```{r sense-school-table, results="asis"} +ovb_minimal_reporting(school_sensitivity, format = "pure_html") +``` + +Interpretation time: + +- $R^2_{Y \sim D \mid X}$ is the partial $R^2$ of the treatment with the outcome. In an extreme scenario, even if unobserved confounders explained all the remaining variation in math scores, they would need to explain at least 0.7% of the unexplained (or residual) variation in Catholic school enrollment in order to bring the estimated effect down to 0. This is the **bare minimum strength** of confounders required to explain away the effect. + +- $\text{RV}_{q = 1}$ is the robustness value. If unmeasured confounders could explain 8% of *both* the residual variation of math scores and of Catholic school enrollment, it would be enough to bring the effect down to 0. Importantly, at least one of these hypothetical unmeasured confounders would have to have a partial $R^2$ higher than 0.8. + +- $\text{RV}_{q = 1, \alpha = 0.05}$ is a version of the robustness value that would make it so the 95% confidence interval of the effect includes 0 (the full RV makes it so the effect itself is 0). If unmeasured confounders could explain 5.6% of *both* the residual variation of math scores and of Catholic school enrollment, it would be enough to make the confidence interval of the effect include 0. Importantly, at least one of these hypothetical unmeasured confounders would have to have a partial $R^2$ higher than 0.056. + +Are 0.7% and 8% plausible numbers for this situation? Again, who knows. (But probably! They seem really small!). This is where you get to use your knowledge about math scores and education policy and what kinds of things might explain this variation. The hypothetical bounds we provided (i.e. 1x and 2x the strength of 8th grade math scores) provide formal ways of looking at how plausible these robustness values are. + +The note at the bottom of the table shows us two different bounds. A confounder that has the same strength as 8th grade math scores can explain *at most* 40.5% of the residual variation of the outcome and 0% of the residual variation in the treatment. Mathematically, that's all it could possibly explain. + +If both those bounds were lower than the RV of 8%, we could conclude that the results would be robust to a confounder as strong as `math8`. But they're not! To tip our results, an unmeasured confounder would need to explain 8% of the variation in treatment and outcome. Something like 8th grade math scores *could* explain that much variation in the outcome (up to 40.5%!). Fortunately, 8th grade math scores aren't really related to the treatment at all and can't really explain any of that variation, so we're fairly safe. But it's possible to imagine something similar to 8th grade math scores that could explain just a little bit of the variation in both treatment and outcome, so we're not actually that safe :) + +The contour plot shows this as well: + +```{r sense-school-plot, fig.height=6} +plot(school_sensitivity) +``` + +Here we have a dotted red contour, which we didn't have in the mosquito net example since that ATE is pretty untippable. The red line here represents an ATE of 0—that's where our treatment effect would disappear (and moving up and to the right would start turning the effect negative). + +Including a confounder that's as strong or twice as strong as 8th grade math scores would shrink the ATE to 1.292 and 1.153, and visually you can see that the red diamond is getting closer to the red dotted line. The red diamonds never cross the line though. That's solely because in the data 8th grade math scores happen to have pretty much zero relation to the Catholic vs. public treatment. If a hypothetical confounder was related to both the treatment and outcome, things could tip. For instance, what if we had something that was weaker than `math8` with a partial $R^2$ with 12th grade math scores of 0.2, but also had a partial $R^2$ with the treatment of 0.1? + +```{r sense-school-extra, fig.height=6} +hypothetical_confounder <- adjusted_estimate(model_school_controls, + treatment = "catholic", + r2dz.x = 0.1, + r2yz.dx = 0.2) + +plot(school_sensitivity) + +add_bound_to_contour(r2dz.x = 0.1, + r2yz.dx = 0.2, + bound_value = hypothetical_confounder, + bound_label = "Something related to\nboth outcome and treatment") +``` + +That would completely reverse our finding and would result in a negative ATE of Catholic schools on math scores. Yikes. + +How confidence are we in our findings? As long as unmeasured confounders only really influence the outcome, or only really influence the treatment, we're fairly safe—even if something twice as strong as 8th grade math scores explains a ton of variation in the outcome, we're okay as long as it also doesn't simultaneously explain any of the variation in treatment. But if something moderately influences both treatment and outcome, we could be in trouble. + + +## Which method should you use? + +Either! If you like thinking about hypothetical βs and SMDs, use **tipr**. If you like thinking about $R^2$, use **sensemakr**. Use both in the same analysis! + +**sensemakr** has one important limitation: it only works with models that use $R^2$. That means if you're estimating outcome models with things like multilevel models or logistic regression, you can't use **sensemakr**. **tipr** should work with any estimate that has a confidence interval, though, so you should be able to use it with pretty much any type of model. + +Remember that **sensemakr**'s claim to fame is that it has clear and specific bounds. If you're using **tipr**, you can be more systematic than throwing different βs and SMDs into the function. Choose a benchmark variable and see if your results tip if you include something as strong, twice as strong, and three times its size, either as a β on the outcome or as the between-group SMD. + + +## References diff --git a/docs/projects/week-8/week-8.Rproj b/docs/projects/week-8/week-8.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/docs/projects/week-8/week-8.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/docs/resource/index.html b/docs/resource/index.html new file mode 100644 index 00000000..6f4e7922 --- /dev/null +++ b/docs/resource/index.html @@ -0,0 +1,742 @@ + + + + + + + + + + +Estadística Correlacional - Recursos + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    En esta sección se irán subiendo una serie de recursos relacionados con el curso.

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    Glosario de conceptos

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    ConceptoDefinición
    Estadística Conjunto de métodos y herramientas que involucra la recopilación, análisis, interpretación y presentación de datos numéricos con el objetivo de describir patrones, relaciones y tendencias en fenómenos naturales o sociales.
    Reproducibilidad La capacidad de regenerar un experimento, análisis o estudio utilizando los mismos datos y métodos para llegar a los mismos resultados originales, verificando y asegurando la validez de los hallazgos.
    Ciencia Social Abierta Un enfoque en la investigación social que promueve la transparencia, el acceso abierto a datos, métodos y resultados, y la colaboración entre investigadores para mejorar la calidad y confiabilidad de la investigación.
    Protocolo IPO (Input-Process-Output) Sistema digital de carpetas interconectadas: entrada, proceso y salida. Se utiliza para organizar, procesar y documentar los datos y código de un proyecto de investigación para que cualquier persona pueda ejecutarlo y compartirlo.
    R project Carpeta raíz organizada donde trabajas en un proyecto concreto en el lenguaje de programación R, permitiéndote gestionar archivos, paquetes y configuraciones de manera específica para ese proyecto.
    Texto plano Tipo de texto sin formato especial que se puede leer independiente del lector que se utilice.
    Markdown Clase especial de lenguaje que permite darle formato a texto simple con pocas marcas. Se utiliza comúnmente para escribir documentos simples con formato, como páginas web, documentación y presentaciones.
    Documentos dinámicos Archivos que combinan texto plano y código de análisis (gráficos, tablas y resultados), de manera simultánea en un solo documento, permitiendo la generación automática y reproducible de resultados actualizados a medida que cambian los datos o parámetros.
    RMarkdown Una extensión de Markdown en el entorno R que permite la integración simultánea de texto plano y código R y su ejecución en el documento, lo que facilita la creación de documentos dinámicos con análisis estadísticos y visualizaciones.
    Librerías Conjuntos de funciones y herramientas predefinidas que se pueden utilizar en lenguajes de programación, como R, para realizar tareas específicas sin tener que escribir todo el código desde cero.
    Knitear Proceso de compilación secuencial de código y resultados de ejecución en un documento RMarkdown, generando un documento final con texto formateado, código y gráficos integrados.
    Renderizar En el contexto de RMarkdown se refiere al proceso de convertir el código y contenido en un documento legible y presentable. En otras palabras, cuando renderizas un documento RMarkdown, estás transformando el código, texto y elementos visuales en un formato final, como un informe, una presentación o un documento HTML, que pueda ser compartido o presentado a otros de manera comprensible.
    YAML Acrónimo de “YAML Ain’t Markup Language”, es un formato de serialización de datos legible por humanos que se utiliza para configurar y definir la estructura de datos en muchos programas y aplicaciones. En RMarkdown corresponden al encabezado de instrucciones generales del documento.
    Chunk Un bloque de código, que puede ser en R, en un documento RMarkdown, rodeado por marcas especiales que indican al sistema cómo manejar y ejecutar ese fragmento de código, y luego mostrar sus resultados en el documento final.
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    Estadística descriptiva

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    Uso de R

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    Inferencia

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    Bases de datos

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    Instalar R, RStudio y tidyverse

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    Forma general de funcionamiento

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    Este curso se compone de tres actividades principales:

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    • Clases lectivas presenciales: donde en base a las lecturas correspondientes a esa semana se presentará un resumen de los contenidos principales y se resolverán dudas.

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    • Guías prácticas: actividades con énfasis en el manejo de software para análisis y reporte de los resultados. Estas instancias serán conducidas guiadas por los apoyos docentes del curso.

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    • Lecturas: los temas del curso se acompañan de lecturas, las que se encuentras a disposición en esta página.

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    Las actividades semanales se resumen en el siguiente esquema:

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    En cuanto a la metodología, el curso comienza con clases lectivas y desarrollo autónomo de guías prácticas, y en la última unidad se realizará un trabajo grupal práctico de aplicación de los contenidos.

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    Presentación

    Agosto Clases Prácticos Lecturas
    Lunes 121. PresentaciónLeer detalladamente programa del curso


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    UNIDAD 1:


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    Inferencia

    Agosto Clases Prácticos Lecturas
    Martes 13Datos, probabilidad y distribuciones muestrales

    *Pardo cap 2 Conceptos previos

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    Richtey 1-21 : La imaginación estadística

    Lunes 19Error estándar y distribución normal

    *Richtey cap 6

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    Pardo cap 6 Probabilidad y distribución normal

    Martes 20Intervalos de confianza*Richtey cap 7 Probabilidad y distribuciones muestrales
    Lunes 26Test de hipótesis

    *Richtey cap 8: Intervalos de confianza

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    *Richtey cap 9: Prueba de hipótesis

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    Montoya: Los conceptos de especificación y falsación

    Martes 27Práctico: Inferencia 1
    Septiembre
    Lunes 2Hipótesis para una y dos muestras

    *Richtey cap 10: Hipótesis de una muestra

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    *Richtey cap 11: Hipótesis de dos muestras (prueba t)

    Martes 3Práctico Inferencia 2
    Lunes 9Evaluación 1
    Martes 10Evaluación 1

    UNIDAD 2:

    Bivariada

    Lunes 23Asociación y covarianza
    Martes 24Inferencia en correlación de Pearson
    Lunes 30Correlación con ordinales
    Martes 1Práctico. Guía 1 Bivariada
    Lunes 7Matrices y tamaños de efecto en correlación
    Martes 8Asociación con categóricas 1
    Lunes 14Asociación con categóricas 2
    Martes 15Práctico: Guía 2 Bivariada
    Lunes 21Evaluación 2
    Martes 22Evaluación 2
    Lunes 28Semana receso
    Martes 29Semana receso

    Unidad 3:

    Aplicación y reporte

    Lunes 4Seminario encuestas
    Martes 5Definición de grupos y temas
    Lunes 11Escritura de reportes de investigación
    Martes 12

    Reportes dinámicos y

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    Plantilla trabajo final

    Lunes 18Visualización de datos 1
    Martes 19Visualización 1
    Lunes 25Visualización de datos 2
    Martes 26Visualización 2 y elaboración de poster
    Lunes 25Presentación de poster de investigación
    Martes 26Pruebas recuperativas
    Viernes 29Entrega de trabajo final grupal
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    Exámenes finales (escritos, en sala)

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    Ver requisitos de aprobación y eximición

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    • Examen de primera oportunidad: Lunes 9 Diciembre 10:15

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    • Examen de segunda oportunidad: Lunes 16 Diciembre 10:15

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    + + + + + + \ No newline at end of file diff --git a/docs/search.json b/docs/search.json new file mode 100644 index 00000000..3ff64bf7 --- /dev/null +++ b/docs/search.json @@ -0,0 +1,715 @@ +[ + { + "objectID": "files/reporte_notas/reporte_notas.html", + "href": "files/reporte_notas/reporte_notas.html", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "pacman::p_load(googlesheets4, dplyr, sjmisc,sjPlot, kableExtra, sjlabelled )\n\n\n\n [1] \"N\" \"Persona\" \"p1-a\" \"p1-b\" \"p2\" \n [6] \"p3\" \"p4\" \"p5\" \"pje\" \"Nota 60%\" \n[11] \"corrector/a\" \"decimas\" \"nota_final\" \"Recorrección\" \"...15\" \n[16] \"...16\" \n\n\n\nload(\"prueba1.Rdata\")\n\n\n\n\n\n# Label variables\n\nprueba1$p1a <- set_label(x = prueba1$p1a, \n label = \"Cálculo Pearson\")\nprueba1$p1b <- set_label(x = prueba1$p1b, \n label = \"Interpretación Pearson\")\nprueba1$p2 <- set_label(x = prueba1$p2, \n label = \"Limitación Pearson\")\nprueba1$p3 <- set_label(x = prueba1$p3, \n label = \"Coeficiente determinación\")\nprueba1$p4 <- set_label(x = prueba1$p4, \n label = \"Spearman\")\nprueba1$p5 <- set_label(x = prueba1$p5, \n label = \"Perdidos matrices\")\n\n\n\n\n\nprueba1 %>% descr(., show = c(\"label\",\"range\", \"mean\", \"sd\", \"n\"))%>% kable(.,\"markdown\", digits=2)\n\n\n\n\n\nvar\nlabel\nn\nmean\nsd\nrange\n\n\n\n\n2\np1a\nCálculo Pearson\n79\n1.78\n1.29\n3 (0-3)\n\n\n3\np1b\nInterpretación Pearson\n79\n1.66\n0.78\n3 (0-3)\n\n\n4\np2\nLimitación Pearson\n79\n1.53\n0.69\n2 (0-2)\n\n\n5\np3\nCoeficiente determinación\n79\n1.50\n0.64\n2 (0-2)\n\n\n6\np4\nSpearman\n79\n1.39\n0.81\n2 (0-2)\n\n\n7\np5\nPerdidos matrices\n79\n0.99\n0.89\n2 (0-2)\n\n\n1\nnota_final\nnota_final\n79\n4.54\n1.40\n6 (1-7)\n\n\n\n\n\n\n\n\n\nhist(prueba1$nota_final)\n\n\n\n\n\n\n\nplot_frq(data = prueba1$nota_final,type = \"hist\",show.mean = T)\n\n\n\n\n\n\n\n\n\nprueba1 <- prueba1 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c(\"Menor a 4.0\",\"4.0-5.0\",\"5.0-6.0\",\"6.0-7.0\")))\n\nfrq(prueba1$notas_cat)\n\nx <categorical> \n# total N=88 valid N=79 mean=2.23 sd=1.13\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------------\nMenor a 4.0 | 30 | 34.09 | 37.97 | 37.97\n4.0-5.0 | 14 | 15.91 | 17.72 | 55.70\n5.0-6.0 | 22 | 25.00 | 27.85 | 83.54\n6.0-7.0 | 13 | 14.77 | 16.46 | 100.00\n<NA> | 9 | 10.23 | <NA> | <NA>\n\nprueba1 <- prueba1 %>% dplyr::select(-notas_cat)\n\n\n\n\n\ntab_corr(prueba1,\n triangle = \"lower\")\n\n\n\n\n \nCálculo Pearson\nInterpretación Pearson\nLimitación Pearson\nCoeficiente determinación\nSpearman\nPerdidos matrices\nnota_final\n\n\nCálculo Pearson\n \n \n \n \n \n \n \n\n\nInterpretación Pearson\n0.405***\n \n \n \n \n \n \n\n\nLimitación Pearson\n0.211\n0.153\n \n \n \n \n \n\n\nCoeficiente determinación\n0.271*\n0.407***\n0.267*\n \n \n \n \n\n\nSpearman\n0.229*\n0.203\n0.375***\n0.197\n \n \n \n\n\nPerdidos matrices\n0.063\n0.127\n0.435***\n0.095\n0.277*\n \n \n\n\nnota_final\n0.696***\n0.627***\n0.619***\n0.524***\n0.583***\n0.539***\n \n\n\nComputed correlation used pearson-method with listwise-deletion.\n\n\n\n\n\n\nplot_scatter(prueba1, p1a, p1b)\n\n\n\n\n\n\n\n\nConsistencia interna\n\npacman::p_load(ltm)\n\npreguntas <- prueba1 %>% dplyr::select(-nota_final)\ncronbach.alpha(na.omit(preguntas))\n\n\nCronbach's alpha for the 'na.omit(preguntas)' data-set\n\nItems: 6\nSample units: 79\nalpha: 0.634" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#librerías-datos", + "href": "files/reporte_notas/reporte_notas.html#librerías-datos", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "pacman::p_load(googlesheets4, dplyr, sjmisc,sjPlot, kableExtra, sjlabelled )\n\n\n\n [1] \"N\" \"Persona\" \"p1-a\" \"p1-b\" \"p2\" \n [6] \"p3\" \"p4\" \"p5\" \"pje\" \"Nota 60%\" \n[11] \"corrector/a\" \"decimas\" \"nota_final\" \"Recorrección\" \"...15\" \n[16] \"...16\" \n\n\n\nload(\"prueba1.Rdata\")" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#etiquetados", + "href": "files/reporte_notas/reporte_notas.html#etiquetados", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "# Label variables\n\nprueba1$p1a <- set_label(x = prueba1$p1a, \n label = \"Cálculo Pearson\")\nprueba1$p1b <- set_label(x = prueba1$p1b, \n label = \"Interpretación Pearson\")\nprueba1$p2 <- set_label(x = prueba1$p2, \n label = \"Limitación Pearson\")\nprueba1$p3 <- set_label(x = prueba1$p3, \n label = \"Coeficiente determinación\")\nprueba1$p4 <- set_label(x = prueba1$p4, \n label = \"Spearman\")\nprueba1$p5 <- set_label(x = prueba1$p5, \n label = \"Perdidos matrices\")" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#tabla-descriptiva", + "href": "files/reporte_notas/reporte_notas.html#tabla-descriptiva", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "prueba1 %>% descr(., show = c(\"label\",\"range\", \"mean\", \"sd\", \"n\"))%>% kable(.,\"markdown\", digits=2)\n\n\n\n\n\nvar\nlabel\nn\nmean\nsd\nrange\n\n\n\n\n2\np1a\nCálculo Pearson\n79\n1.78\n1.29\n3 (0-3)\n\n\n3\np1b\nInterpretación Pearson\n79\n1.66\n0.78\n3 (0-3)\n\n\n4\np2\nLimitación Pearson\n79\n1.53\n0.69\n2 (0-2)\n\n\n5\np3\nCoeficiente determinación\n79\n1.50\n0.64\n2 (0-2)\n\n\n6\np4\nSpearman\n79\n1.39\n0.81\n2 (0-2)\n\n\n7\np5\nPerdidos matrices\n79\n0.99\n0.89\n2 (0-2)\n\n\n1\nnota_final\nnota_final\n79\n4.54\n1.40\n6 (1-7)" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#gráficos-descriptivos", + "href": "files/reporte_notas/reporte_notas.html#gráficos-descriptivos", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "hist(prueba1$nota_final)\n\n\n\n\n\n\n\nplot_frq(data = prueba1$nota_final,type = \"hist\",show.mean = T)\n\n\n\n\n\n\n\n\n\nprueba1 <- prueba1 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c(\"Menor a 4.0\",\"4.0-5.0\",\"5.0-6.0\",\"6.0-7.0\")))\n\nfrq(prueba1$notas_cat)\n\nx <categorical> \n# total N=88 valid N=79 mean=2.23 sd=1.13\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------------\nMenor a 4.0 | 30 | 34.09 | 37.97 | 37.97\n4.0-5.0 | 14 | 15.91 | 17.72 | 55.70\n5.0-6.0 | 22 | 25.00 | 27.85 | 83.54\n6.0-7.0 | 13 | 14.77 | 16.46 | 100.00\n<NA> | 9 | 10.23 | <NA> | <NA>\n\nprueba1 <- prueba1 %>% dplyr::select(-notas_cat)" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#preguntas-y-asociaciones", + "href": "files/reporte_notas/reporte_notas.html#preguntas-y-asociaciones", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "", + "text": "tab_corr(prueba1,\n triangle = \"lower\")\n\n\n\n\n \nCálculo Pearson\nInterpretación Pearson\nLimitación Pearson\nCoeficiente determinación\nSpearman\nPerdidos matrices\nnota_final\n\n\nCálculo Pearson\n \n \n \n \n \n \n \n\n\nInterpretación Pearson\n0.405***\n \n \n \n \n \n \n\n\nLimitación Pearson\n0.211\n0.153\n \n \n \n \n \n\n\nCoeficiente determinación\n0.271*\n0.407***\n0.267*\n \n \n \n \n\n\nSpearman\n0.229*\n0.203\n0.375***\n0.197\n \n \n \n\n\nPerdidos matrices\n0.063\n0.127\n0.435***\n0.095\n0.277*\n \n \n\n\nnota_final\n0.696***\n0.627***\n0.619***\n0.524***\n0.583***\n0.539***\n \n\n\nComputed correlation used pearson-method with listwise-deletion.\n\n\n\n\n\n\nplot_scatter(prueba1, p1a, p1b)\n\n\n\n\n\n\n\n\nConsistencia interna\n\npacman::p_load(ltm)\n\npreguntas <- prueba1 %>% dplyr::select(-nota_final)\ncronbach.alpha(na.omit(preguntas))\n\n\nCronbach's alpha for the 'na.omit(preguntas)' data-set\n\nItems: 6\nSample units: 79\nalpha: 0.634" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#datos", + "href": "files/reporte_notas/reporte_notas.html#datos", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Datos", + "text": "Datos\n\nload(\"prueba2.Rdata\")" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#adecuación-preguntas", + "href": "files/reporte_notas/reporte_notas.html#adecuación-preguntas", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Adecuación preguntas", + "text": "Adecuación preguntas\nLa prueba tiene dos formas: A y B, la única diferencia es en el orden de las preguntas, la forma A parte por la pregunta sobre identificación con la izquierda, mientras que en la forma B la primera pregunta es la de CASEN. Para poder realizar un correcto análisis de las preguntas vamos a adaptar la forma B a la A.\n\nfrq(prueba2$forma)\n\nx <character> \n# total N=87 valid N=72 mean=1.50 sd=0.50\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------\nA | 36 | 41.38 | 50 | 50\nB | 36 | 41.38 | 50 | 100\n<NA> | 15 | 17.24 | <NA> | <NA>\n\nA <- subset(prueba2, subset = prueba2$forma==\"A\")\nB <- subset(prueba2, subset = prueba2$forma==\"B\")\ndim(A)\n\n[1] 36 8\n\ndim(B)\n\n[1] 36 8\n\ndescr(B, show = \"mean\")\n\n\n## Basic descriptive statistics\n\n var mean\n p1a 1.33\n p1b 1.36\n p1c 1.31\n p2a 1.39\n p2b 1.28\n p2c 1.32\n nota_final 4.58\n\nB <- B %>% rename(\"p1a\"=\"p2a\", \n \"p1b\"=\"p2b\",\n \"p1c\"=\"p2c\",\n \"p2a\"=\"p1a\",\n \"p2b\"=\"p1b\",\n \"p2c\"=\"p1c\")\n\ndescr(B, show = \"mean\")\n\n\n## Basic descriptive statistics\n\n var mean\n p2a 1.33\n p2b 1.36\n p2c 1.31\n p1a 1.39\n p1b 1.28\n p1c 1.32\n nota_final 4.58\n\nprueba2 <- rbind(A,B)" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#etiquetados-1", + "href": "files/reporte_notas/reporte_notas.html#etiquetados-1", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Etiquetados", + "text": "Etiquetados\n\n# Label variables\n\nprueba2$p1a <- set_label(x = prueba2$p1a, \n label = \"H1 promedio direccional\")\nprueba2$p1b <- set_label(x = prueba2$p1b, \n label = \"Prueba promedios\")\nprueba2$p1c <- set_label(x = prueba2$p1c, \n label = \"Rechazo H0\")\nprueba2$p2a <- set_label(x = prueba2$p2a, \n label = \"H1 proporcion no direccional\")\nprueba2$p2b <- set_label(x = prueba2$p2b, \n label = \"Error tipo 1\")\nprueba2$p2c <- set_label(x = prueba2$p2c, \n label = \"Intervalo confianza\")" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#tabla-descriptiva-1", + "href": "files/reporte_notas/reporte_notas.html#tabla-descriptiva-1", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Tabla descriptiva", + "text": "Tabla descriptiva\n\nprueba2 %>% descr(., show = c(\"label\",\"range\", \"mean\", \"sd\", \"n\"))%>% kable(.,\"markdown\", digits=2)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nvar\nlabel\nn\nmean\nsd\nrange\n\n\n\n\n2\np1a\nH1 promedio direccional\n72\n1.36\n0.63\n2 (0-2)\n\n\n3\np1b\nPrueba promedios\n72\n1.24\n0.86\n2 (0-2)\n\n\n4\np1c\nRechazo H0\n72\n1.27\n0.70\n2 (0-2)\n\n\n5\np2a\nH1 proporcion no direccional\n72\n1.26\n0.68\n2 (0-2)\n\n\n6\np2b\nError tipo 1\n72\n1.27\n0.79\n2 (0-2)\n\n\n7\np2c\nIntervalo confianza\n72\n1.14\n0.72\n2 (0-2)\n\n\n1\nnota_final\nnota_final\n72\n4.37\n1.23\n5.6 (1.4-7)" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#gráficos-descriptivos-1", + "href": "files/reporte_notas/reporte_notas.html#gráficos-descriptivos-1", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Gráficos descriptivos", + "text": "Gráficos descriptivos\n\nhist(prueba2$nota_final)\n\n\n\n\n\n\n\nplot_frq(data = prueba2$nota_final,type = \"hist\",show.mean = T)\n\n\n\n\n\n\n\n\n\nprueba2 <- prueba2 %>% mutate(notas_cat=cut(nota_final, breaks=c(-Inf,4,5,6, Inf), labels=c(\"Menor a 4.0\",\"4.0-5.0\",\"5.0-6.0\",\"6.0-7.0\")))\n\nfrq(prueba2$notas_cat)\n\nx <categorical> \n# total N=72 valid N=72 mean=2.06 sd=1.02\n\nValue | N | Raw % | Valid % | Cum. %\n-------------------------------------------\nMenor a 4.0 | 28 | 38.89 | 38.89 | 38.89\n4.0-5.0 | 19 | 26.39 | 26.39 | 65.28\n5.0-6.0 | 18 | 25.00 | 25.00 | 90.28\n6.0-7.0 | 7 | 9.72 | 9.72 | 100.00\n<NA> | 0 | 0.00 | <NA> | <NA>\n\nprueba2 <- prueba2 %>% dplyr::select(-notas_cat)" + }, + { + "objectID": "files/reporte_notas/reporte_notas.html#preguntas-y-asociaciones-1", + "href": "files/reporte_notas/reporte_notas.html#preguntas-y-asociaciones-1", + "title": "Reporte Notas - Estadística Correlacional 2023", + "section": "Preguntas y asociaciones", + "text": "Preguntas y asociaciones\n\nprueba2 <- prueba2 %>% dplyr::select(-forma)\ntab_corr(prueba2,\n triangle = \"lower\")\n\n\n\n\n \nH1 promedio direccional\nPrueba promedios\nRechazo H0\nH1 proporcion no direccional\nError tipo 1\nIntervalo confianza\nnota_final\n\n\nH1 promedio direccional\n \n \n \n \n \n \n \n\n\nPrueba promedios\n0.295*\n \n \n \n \n \n \n\n\nRechazo H0\n0.397***\n0.488***\n \n \n \n \n \n\n\nH1 proporcion no direccional\n0.108\n0.094\n-0.060\n \n \n \n \n\n\nError tipo 1\n-0.204\n0.039\n0.031\n-0.039\n \n \n \n\n\nIntervalo confianza\n0.047\n0.206\n0.308**\n0.169\n0.351**\n \n \n\n\nnota_final\n0.469***\n0.677***\n0.650***\n0.370**\n0.404***\n0.631***\n \n\n\nComputed correlation used pearson-method with listwise-deletion.\n\n\n\n\n\nConsistencia interna\n\npacman::p_load(ltm)\n\npreguntas <- prueba2 %>% dplyr::select(-nota_final)\ncronbach.alpha(na.omit(preguntas))\n\n\nCronbach's alpha for the 'na.omit(preguntas)' data-set\n\nItems: 6\nSample units: 72\nalpha: 0.513" + }, + { + "objectID": "example/cace.html", + "href": "example/cace.html", + "title": "Complier average treatment effects", + "section": "", + "text": "Throughout this course, we’ve talked about the difference between the average treatment effect (ATE), or the average effect of a program for an entire population, and conditional average treatment effect (CATE), or the average effect of a program for some segment of the population. There are all sorts of CATEs: you can find the CATE for men vs. women, for people who are treated with the program (the average treatment on the treated, or ATT or TOT), for people who are not treated with the program (the average treatment on the untreated, or ATU), and so on.\nOne important type of CATE is the effect of a program on just those who comply with the program. We can call this the complier average treatment effect, but the acronym would be the same as conditional average treatment effect, so we’ll call it the complier average causal effect or CACE.\nThinking about compliance is important. You might randomly assign people to receive treatment or a program, but people might not do what you tell them. Additionally, people might do the program if assigned to do it, but they would have done it anyway. We can split the population into four types of people:\n\nCompliers: People who follow whatever their assignment is (if assigned to treatment, they do the program; if assigned to control, they don’t)\nAlways takers: People who will receive or seek out the program regardless of assignment (if assigned to treatment, they do the program; if assigned to control, they still do the program)\nNever takers: People who will not receive or seek out the program regardless of assignment (if assigned to treatment, they don’t do the program; if assigned to control, they also don’t do it)\nDefiers: People who will do the opposite of whatever their assignment is (if assigned to treatment, they don’t do the program; if assigned to control, they do the program)\n\nTo simplify things, evaluators and econometricians assume that defiers don’t exist based on the idea of monotonicity, which means that we can assume that the effect of being assigned to treatment only increases the likelihood of participating in the program (and doesn’t make it more likely).\nThe tricky part about trying to find who the compliers are in a sample is that we can’t know what people would have done in the absence of treatment. If we see that someone in the experiment was assigned to be in the treatment group and they then participated in the program, they could be a complier (since they did what they were assigned to do), or they could be an always taker (they did what they were assigned to do, but they would have done it anyway). Due to the fundamental problem of causal inference, we cannot know what each person would have done in a parallel world.\nWe can use data from a hypothetical program to see how these three types of compliers distort our outcomes, and more importantly, how we can disentangle compliers from their always- and never-taker counterparts.\nIf you want to follow along with this example, you can download these two datasets:\n\n bed_nets_time_machine.csv\n bed_nets_observed.csv" + }, + { + "objectID": "example/cace.html#compliance-and-treatment-effects", + "href": "example/cace.html#compliance-and-treatment-effects", + "title": "Complier average treatment effects", + "section": "", + "text": "Throughout this course, we’ve talked about the difference between the average treatment effect (ATE), or the average effect of a program for an entire population, and conditional average treatment effect (CATE), or the average effect of a program for some segment of the population. There are all sorts of CATEs: you can find the CATE for men vs. women, for people who are treated with the program (the average treatment on the treated, or ATT or TOT), for people who are not treated with the program (the average treatment on the untreated, or ATU), and so on.\nOne important type of CATE is the effect of a program on just those who comply with the program. We can call this the complier average treatment effect, but the acronym would be the same as conditional average treatment effect, so we’ll call it the complier average causal effect or CACE.\nThinking about compliance is important. You might randomly assign people to receive treatment or a program, but people might not do what you tell them. Additionally, people might do the program if assigned to do it, but they would have done it anyway. We can split the population into four types of people:\n\nCompliers: People who follow whatever their assignment is (if assigned to treatment, they do the program; if assigned to control, they don’t)\nAlways takers: People who will receive or seek out the program regardless of assignment (if assigned to treatment, they do the program; if assigned to control, they still do the program)\nNever takers: People who will not receive or seek out the program regardless of assignment (if assigned to treatment, they don’t do the program; if assigned to control, they also don’t do it)\nDefiers: People who will do the opposite of whatever their assignment is (if assigned to treatment, they don’t do the program; if assigned to control, they do the program)\n\nTo simplify things, evaluators and econometricians assume that defiers don’t exist based on the idea of monotonicity, which means that we can assume that the effect of being assigned to treatment only increases the likelihood of participating in the program (and doesn’t make it more likely).\nThe tricky part about trying to find who the compliers are in a sample is that we can’t know what people would have done in the absence of treatment. If we see that someone in the experiment was assigned to be in the treatment group and they then participated in the program, they could be a complier (since they did what they were assigned to do), or they could be an always taker (they did what they were assigned to do, but they would have done it anyway). Due to the fundamental problem of causal inference, we cannot know what each person would have done in a parallel world.\nWe can use data from a hypothetical program to see how these three types of compliers distort our outcomes, and more importantly, how we can disentangle compliers from their always- and never-taker counterparts.\nIf you want to follow along with this example, you can download these two datasets:\n\n bed_nets_time_machine.csv\n bed_nets_observed.csv" + }, + { + "objectID": "example/cace.html#finding-compliers-with-a-mind-reading-time-machine", + "href": "example/cace.html#finding-compliers-with-a-mind-reading-time-machine", + "title": "Complier average treatment effects", + "section": "Finding compliers with a mind-reading time machine", + "text": "Finding compliers with a mind-reading time machine\nFirst let’s load the data and reorder some of the categories:\n\n\nCode\nlibrary(tidyverse) # ggplot(), %>%, mutate(), and friends\nlibrary(broom) # Convert models to data frames\nlibrary(estimatr) # Run 2SLS models in one step with iv_robust()\n\nbed_nets <- read_csv(\"data/bed_nets_observed.csv\") %>%\n # Make \"No bed net\" (control) come first\n mutate(bed_net = fct_relevel(bed_net, \"No bed net\"))\n\nbed_nets_time_machine <- read_csv(\"data/bed_nets_time_machine.csv\") %>%\n # Make \"No bed net\" come first and \"Complier\" come first\n mutate(bed_net = fct_relevel(bed_net, \"No bed net\"),\n status = fct_relevel(status, \"Complier\"))\n\n\nThis is what we would be able to see if we could read everyone’s minds. There are always takers who will use a bed net regardless of the program, and they’ll have higher health outcomes. However, those better outcomes are because of something endogenous—there’s something else that makes these people always pursue bed nets, and that’s likely related to health. We probably want to not consider them when looking for the program effect. There are never takers who won’t ever use a bed net, and they have worse health outcomes. Again, there’s endogeneity here—something is causing them to not use the bed nets, and it likely also causes their health level. We don’t want to look at them either.\nThe first group—the compliers—are the people we want to focus on. Here we see that the program had an effect when compared to a control group.\n\n\nCode\nset.seed(1234) # Make the jittering the same every time\n\nggplot(bed_nets_time_machine, aes(y = health, x = treatment)) +\n geom_point(aes(shape = bed_net, color = status),\n position = position_jitter(height = NULL, width = 0.25)) +\n facet_wrap(vars(status)) +\n labs(color = \"Type of person\", shape = \"Compliance\",\n x = NULL, y = \"Health status\") +\n scale_color_viridis_d(option = \"plasma\", end = 0.85) +\n theme_bw()" + }, + { + "objectID": "example/cace.html#finding-compliers-in-actual-data", + "href": "example/cace.html#finding-compliers-in-actual-data", + "title": "Complier average treatment effects", + "section": "Finding compliers in actual data", + "text": "Finding compliers in actual data\nThis is what we actually see in the data, though. You can tell who some of the always takers are (those who used bed nets after being assigned to the control group) and who some of the never takers are (those who did not use a bed net after being assigned to the treatment group), but compliers are mixed up with the always and never takers. We have to somehow disentangle them!\n\n\nCode\nset.seed(1234)\nggplot(bed_nets_time_machine, aes(y = health, x = bed_net)) +\n geom_point(aes(shape = bed_net, color = status),\n position = position_jitter(height = NULL, width = 0.25)) +\n facet_wrap(vars(treatment)) +\n labs(color = \"Type of person\", shape = \"Compliance\",\n x = NULL, y = \"Health status\") +\n scale_color_viridis_d(option = \"plasma\", end = 0.85) +\n theme_bw()\n\n\n\n\n\n\n\n\n\nWe can do this by assuming the proportion of compliers, never takers, and always takers are equally spread across treatment and control (which we can assume through the magic of randomization). If that’s the case, we can calculate the intent to treat (ITT) effect, which is the CATE of being assigned treatment (or the effect of being assigned treatment on health status, regardless of actual compliance).\nThe ITT is actually composed of three different causal effects: the complier average causal effect (CACE), the always taker average causal effect (ATACE), and the never taker average causal effect (NTACE). In the formula below, \\(\\pi\\) stands for the proportion of people in each group. Formally, the ITT can be defined like this:\n\\[\n\\begin{aligned}\n\\text{ITT}\\ =\\ & \\color{#0D0887}{\\pi_\\text{compliers} \\times (\\text{T} - \\text{C})_\\text{compliers}} + \\\\\n&\\color{#B7318A}{\\pi_\\text{always takers} \\times (\\text{T} - \\text{C})_\\text{always takers}} + \\\\\n&\\color{#FEBA2C}{\\pi_\\text{never takers} \\times (\\text{T} - \\text{C})_\\text{never takers}}\n\\end{aligned}\n\\]\nWe can simplify this to this acronymized version:\n\\[\n\\text{ITT}\\ =\\ \\color{#0D0887}{\\pi_\\text{C} \\text{CACE}} + \\color{#B7318A}{\\pi_\\text{A} \\text{ATACE}} + \\color{#FEBA2C}{\\pi_\\text{N} \\text{NTACE}}\n\\]\nThe number we care about the most here is the CACE, which is stuck in the middle of the equation. But we can rescue it with some fun logical and algebraic trickery!\nIf we assume that assignment to treatment doesn’t make someone more likely to be an always taker or a never taker, we can set the ATACE and NTACE to zero, leaving us with just three variables to worry about: ITT, \\(\\pi_\\text{c}\\), and CACE:\n\\[\n\\begin{aligned}\n\\text{ITT}\\ =\\ & \\color{#0D0887}{\\pi_\\text{C} \\text{CACE}} + \\color{#B7318A}{\\pi_\\text{A} \\text{ATACE}} + \\color{#FEBA2C}{\\pi_\\text{N} \\text{NTACE}} \\\\[6pt]\n=\\ & \\color{#0D0887}{\\pi_\\text{C} \\text{CACE}} + \\color{#B7318A}{\\pi_\\text{A} \\times 0} + \\color{#FEBA2C}{\\pi_\\text{N} \\times 0}\\\\[6pt]\n\\text{ITT}\\ =\\ & \\color{#0D0887}{\\pi_\\text{C} \\text{CACE}}\n\\end{aligned}\n\\]\nWe can use algebra to rearrange this formula so that we’re left with an equation that starts with CACE (since that’s the value we care about):\n\\[\n\\text{CACE} = \\frac{\\text{ITT}}{\\pi_\\text{C}}\n\\]\nIf we can find the ITT and the proportion of compliers, we can find the complier average causal effect (CACE). Fortunately, both those pieces—ITT and \\(\\pi_\\text{C}\\)—are findable in the data we have!" + }, + { + "objectID": "example/cace.html#finding-the-itt", + "href": "example/cace.html#finding-the-itt", + "title": "Complier average treatment effects", + "section": "Finding the ITT", + "text": "Finding the ITT\nThe ITT is easy to find with a simple OLS model:\n\n\nCode\nitt_model <- lm(health ~ treatment, data = bed_nets)\n\ntidy(itt_model)\n## # A tibble: 2 × 5\n## term estimate std.error statistic p.value\n## <chr> <dbl> <dbl> <dbl> <dbl>\n## 1 (Intercept) 40.9 0.444 92.1 0 \n## 2 treatmentTreatment 5.99 0.630 9.51 5.20e-21\n\nITT <- tidy(itt_model) %>%\n filter(term == \"treatmentTreatment\") %>%\n pull(estimate)\n\n\nThe ITT here is ≈6—being assigned treatment increases average health status by 5.99 health points." + }, + { + "objectID": "example/cace.html#finding-the-proportion-of-compliers", + "href": "example/cace.html#finding-the-proportion-of-compliers", + "title": "Complier average treatment effects", + "section": "Finding the proportion of compliers", + "text": "Finding the proportion of compliers\nThe proportion of compliers is a little trickier, but doable with some algebraic trickery. Recall from the graph above that the people who were in the treatment group and who complied are a combination of always takers and compliers. This means we can say:\n\\[\n\\begin{aligned}\n\\pi_\\text{A} + \\pi_\\text{C} =& \\text{% yes in treatment; or} \\\\\n\\pi_\\text{C} =& \\text{% yes in treatment} - \\pi_\\text{A}\n\\end{aligned}\n\\]\nWe actually know \\(\\pi_\\text{A}\\)—remember in the graph above that the people who were in the control group and who used bed nets are guaranteed to be always takers (none of them are compliers or never takers). If we assume that the proportion of always takers is the same in both treatment and control, we can use that percent here, giving us this final equation for \\(\\pi_\\text{C}\\):\n\\[\n\\begin{aligned}\n\\pi_\\text{C} =& \\text{% yes in treatment} - \\pi_\\text{A} \\\\\n=& \\text{% yes in treatment} - \\text{% yes in control}\n\\end{aligned}\n\\]\nSo, if we can find the percent of people assigned to treatment who used bed nets, find the percent of people assigned to control and used bed nets, and subtract the two percentages, we’ll have the proportion of compliers, or \\(\\pi_\\text{C}\\). We can do that with the data we have (61% - 19.5% = 41.5% compliers):\n\n\nCode\nbed_nets %>%\n group_by(treatment, bed_net) %>%\n summarize(n = n()) %>%\n mutate(prop = n / sum(n))\n## # A tibble: 4 × 4\n## # Groups: treatment [2]\n## treatment bed_net n prop\n## <chr> <fct> <int> <dbl>\n## 1 Control No bed net 808 0.805\n## 2 Control Bed net 196 0.195\n## 3 Treatment No bed net 388 0.390\n## 4 Treatment Bed net 608 0.610\n\n# pi_c = prop yes in treatment - prop yes in control\npi_c <- 0.6104418 - 0.1952191\n\n\nFinally, now that we know both the ITT and \\(\\pi_\\text{C}\\), we can find the CACE (or the LATE):\n\n\nCode\nCACE <- ITT / pi_c\nCACE\n## [1] 14.43\n\n\nIt’s 14.4, which means that using bed nets increased health by 14 health points for compliers (which is a lot bigger than the 6 that we found before). We successfully filtered out the always takers and the never takers, and we have our complier-specific causal effect." + }, + { + "objectID": "example/cace.html#finding-the-cacelate-with-iv2sls", + "href": "example/cace.html#finding-the-cacelate-with-iv2sls", + "title": "Complier average treatment effects", + "section": "Finding the CACE/LATE with IV/2SLS", + "text": "Finding the CACE/LATE with IV/2SLS\nDoing that is super tedious though! What if there was an easier way to find the effect of the bed net program for just the compliers? We can do this with IV/2SLS regression by using assignment to treatment as an instrument.\nAssignment to treatment works as an instrument because it’s (1) relevant, since being told to use bed nets is probably highly correlated with using bed nets, (2) exclusive, since the only way that being told to use bed nets can cause changes in health is through the actual use of the bed nets, and (3) exogenous, since being told to use bed nets probably isn’t related to other things that cause health.\nHere’s a 2SLS regression with assignment to treatment as the instrument:\n\n\nCode\nmodel_2sls <- iv_robust(health ~ bed_net | treatment, data = bed_nets)\ntidy(model_2sls)\n## term estimate std.error statistic p.value conf.low conf.high df outcome\n## 1 (Intercept) 38.12 0.5151 74.01 0.000e+00 37.11 39.13 1998 health\n## 2 bed_netBed net 14.43 1.2538 11.51 1.038e-29 11.97 16.89 1998 health\n\n\nThe coefficient for bed_net is identical to the CACE that we found manually! Instrumental variables are helpful for isolated program effects to only compliers when you’re dealing with noncompliance." + }, + { + "objectID": "news/2024-08-28_asignacion_ayudantes1.html", + "href": "news/2024-08-28_asignacion_ayudantes1.html", + "title": "Asignación asesorías ayudantes", + "section": "", + "text": "← News\n\n\n\n\nDurante las dos primeras unidades del curso l_s estudiantes están asignados a un/a ayudante para consultas y/o apoyo con los contenidos del curso. Sus ayudantes se contactarán con uds. para indicarles la forma y momentos de asesoría, también pueden ser contactados directamente mediante el correo de UCursos.\n\n\n\n\n\n\nAyudante\nEstudiante\n\n\n\n\nAntonia Jiménez F.\nAlarcón Riveros, Milen Valentina\n\n\n\nArriagada Rodríguez, Javiera Ignacia\n\n\n\nCelpa Bugueño, Álvaro Giovanni\n\n\n\nDíaz Devia, Eduardo Ignacio\n\n\n\nHernández Osses, Antonia Margarita\n\n\n\nHuerta Carrasco, Rodrigo Javier\n\n\n\nKovacevic Ardiles, Ruby Mladenka\n\n\n\nNavarro Sánchez, Camila Alexandra\n\n\n\nPadilla Maureira, Belén Monserrat\n\n\n\nZanca Garrido, Andrés Ignacio\n\n\nCristóbal Mejías G.\nAntil Contreras, Ana Paula\n\n\n\nBeroíza Aguilar, Benjamín Daniel David\n\n\n\nFuentes Fernández, Víctor Javier\n\n\n\nOlmos Jara, Vicente Martín\n\n\n\nRaccagni Mancilla, Matilda Isidora\n\n\n\nRendic Gomez, Andres Nicolas\n\n\n\nVásquez Campos, Fernanda María José\n\n\n\nVega Villanueva, Martina Alejandra\n\n\nFernanda Zúñiga M.\nÁlvarez Cárdenas, Javiera Ignacia\n\n\n\nCastro Rojas, Joel Wilson\n\n\n\nDuclos González, Gaspar\n\n\n\nFaúndez Ramírez, Jennifer Paola\n\n\n\nGonzález Núñez, Bastián Antonio\n\n\n\nGuzmán Reyes, Pablo Antonio\n\n\n\nMontecinos Quintanilla, Valentina Antonia\n\n\n\nSantos Chavarría, Catalina Paz\n\n\nIsmael Aguayo\nBustos Pérez, Benjamín Alfredo\n\n\n\nCastillo Rojas, Anahi Constanza\n\n\n\nChateau Vives, Manuela\n\n\n\nMaldonado Acevedo, Agustín Eduardo\n\n\n\nMorales Verdugo, Javiera Catalina\n\n\n\nRivera Valenzuela, Luis Felipe\n\n\n\nSalas Aguilar, Maximiliano Alonso\n\n\n\nThumala Raposo, Daniel\n\n\n\nTsukame Díaz, Amalia Victoria\n\n\nJaviera González\nBuzio Aranda, Martina Javiera\n\n\n\nCantillana Olave, Muriel Noelia\n\n\n\nFerrel Higuera, Benjamin Tomas Alexandre\n\n\n\nFigueroa Tengner, Nino\n\n\n\nMancilla Chaparro, Benjamín Patricio\n\n\n\nMansilla Fuentes, Violeta Del Rosario\n\n\n\nOuterbridge Ortega, Nicolás Eduardo\n\n\n\nRojas Murúa, Vicente Ignacio de Jesús\n\n\n\nRojas Santander, Matías Nicolás\n\n\n\nVillatoro Cepeda, Martina Alejandra\n\n\nJesús Díaz M.\nArias Acuña, Antonio Domingo\n\n\n\nConsuegra Erazo, Lucas Andrés\n\n\n\nJiménez Miranda, Constanza María\n\n\n\nJiménez Morales, Rosita Monserrat\n\n\n\nJullian Corral, Maite Ayelen\n\n\n\nMuñoz Caniuqueo, Ignacio Benjamín\n\n\n\nOsorio Huerta, Francisca Andrea\n\n\n\nPlaza Spate, Cristóbal Ignacio\n\n\n\nVenegas Moya, Alonso Elessar\n\n\nLuis Rios\nBalmaceda Yankovic, Bianca\n\n\n\nCaballero Salazar, Amador\n\n\n\nCanales Llanquitrú, Carla Jacqueline\n\n\n\nGaete Morgado, Paulina Andrea\n\n\n\nGatica Pailacura, Carolina Paz\n\n\n\nMartin Gerdes, Bastián Javier\n\n\n\nMena Rojas, Martín Elías\n\n\n\nValencia Almendras, Isidora Paz\n\n\n\nVásquez Olivares, Catalina Ignacia\n\n\nMaría Fernanda Núñez G.\nCalderón Guajardo, Elisa Amanda\n\n\n\nFlores Fuentes, Matías Gabriel\n\n\n\nGallo Novoa, Emilia Antonia\n\n\n\nLagos Zúñiga, Martina Jacinta\n\n\n\nLatorre González, Camila Ignacia\n\n\n\nPoblete Duarte, José Patricio\n\n\n\nRoa Neira, Carla Denisse\n\n\n\nSilva Díaz, Catalina Rosario\n\n\n\nVargas Olivares, Andrés Ignacio\n\n\nSophia Karoussis P.\nBascuñán Soto, Marta del Carmen\n\n\n\nBerríos Puentes, Rocío Belén\n\n\n\nFerran Villagra, Catalina Sofía\n\n\n\nGuerrero Tapia, Daniela Sofía\n\n\n\nPalma Valladares, Elisa Victoria\n\n\n\nPeña Gaete, Micaela Fabiana\n\n\n\nRobledo Dávila, Martina Elisa\n\n\n\nSuárez Urbina, Rocío Belén\n\n\n\nVega Gandolfo, Felipe Ignacio\n\n\nVictoria Arias O.\nCanales Calderón, Fernanda Paz\n\n\n\nCarrasco Gomberoff, Benjamín Eitan\n\n\n\nIbarra Domínguez, Asunción Rebeca\n\n\n\nIsla Hernández, Paz Magdalena\n\n\n\nNúñez Pérez, Joaquín Emilio\n\n\n\nReyes Aqueveque, Valeria Patricia\n\n\n\nRivera Sepúlveda, Sofía Belén\n\n\n\nSanta Cruz Claro, Amalia Magdalena\n\n\n\nSoto Ortega, Martina Paz\n\n\n\n\n\n\n\n\nPor dudas, comentarios o cambios respecto a esta asignación escribir a Andreas Laffert (Apoyo Docente) por UCursos." + }, + { + "objectID": "syllabus.html", + "href": "syllabus.html", + "title": "Programa", + "section": "", + "text": "Prof. Juan Carlos Castillo\n   325 Sociología FACSO, Universidad de Chile\n   juancastillov@uchile.cl\n   Agendar reunión\n\n\n\n\n\n   Lunes y Martes\n   12 Agosto al 29 de Noviembre, 2023\n   10:15-11:45 (Lunes) y 8:30-10:00 (Martes)\n   Lunes - Aulario C6, Martes - Aulario C7-C8 & FACSO 345\n   Slack" + }, + { + "objectID": "syllabus.html#sobre-el-sentido-general-del-curso", + "href": "syllabus.html#sobre-el-sentido-general-del-curso", + "title": "Programa", + "section": "Sobre el sentido general del curso", + "text": "Sobre el sentido general del curso\nEn este curso vamos a aprender tres cosas principales:\n\ninferencia: los resultados que encontramos en nuestra muestra, ¿se encuentran también en la población de la cual proviene la muestra?\nmedidas de asociación entre variables: tamaño y significación estadística\nreporte y reproducibilidad de los análisis estadísticos: nuestros análisis se reflejan en productos como tablas y gráficos. No basta con entenderlos e interpretarlos, sino también es fundamental una buena comunicación." + }, + { + "objectID": "syllabus.html#propósito-general-del-curso", + "href": "syllabus.html#propósito-general-del-curso", + "title": "Programa", + "section": "Propósito general del curso", + "text": "Propósito general del curso\nAl finalizar el curso los estudiantes conocerán los fundamentos del análisis estadístico inferencial. Se espera que los estudiantes sean capaces de:\n\nelaborar de manera pertinente hipótesis estadísticas\naplicar estadísticos de asociación bivariada, a partir de los cuáles puedan desarrollar análisis de problemas sociales\ncorroborar el cumplimiento de las condiciones de aplicación de cada estadístico\nutilizar software de análisis estadístico\ncontrastar hipótesis de investigación\nelaborar conclusiones integrando fundamentos teóricos con herramientas de análisis estadístico de resultados.\n\nComplementariamente se espera que los estudiantes adquieran herramientas que les permitan comunicar resultados de investigación en contextos sociales, profesionales y académicos." + }, + { + "objectID": "syllabus.html#competencias", + "href": "syllabus.html#competencias", + "title": "Programa", + "section": "Competencias", + "text": "Competencias\n1a. Delimitar, conceptualizar y analizar diversos objetos de investigación social, con especial énfasis en aquellos relacionados con los procesos de transformación del país y Latinoamérica\n1b. Manejar diversas estrategias metodológicas de las ciencias sociales\n1c. Manejar un conjunto de herramientas para el procesamiento y análisis de información\n1d. Transmitir los conocimientos derivados de la práctica investigativa, así como aquellos adquiridos durante el proceso formativo." + }, + { + "objectID": "syllabus.html#subcompetencias", + "href": "syllabus.html#subcompetencias", + "title": "Programa", + "section": "Subcompetencias", + "text": "Subcompetencias\n\n1.4 Contribuir a generar conocimiento sociológico en el marco de estudios y/o procesos de investigación donde se articulen creativamente las dimensiones teórica, metodológica y práctica.\n1.5 Comunicar los saberes disciplinares de manera pertinente a las características de distintos contextos y audiencias, utilizando diversas estrategias y formatos." + }, + { + "objectID": "syllabus.html#resultados-del-aprendizaje", + "href": "syllabus.html#resultados-del-aprendizaje", + "title": "Programa", + "section": "Resultados del aprendizaje", + "text": "Resultados del aprendizaje\n\nComprende, domina y es capaz de explicar los elementos conceptuales subyacentes a la determinación de la asociación poblacional entre dos variables a partir del análisis de una muestra, y es capaz de traducir hipótesis derivadas de la teoría sociológica en hipótesis estadísticas posibles de contrastar empíricamente con los datos.\nEs capaz de seleccionar y usar herramientas estadísticas adecuadas para evaluar la asociación entre dos variables considerando las características de los datos y las condiciones de aplicación de cada técnica.\nLogra interpretar desde un punto de vista estadístico y sociológico los resultados derivados de pruebas estadísticas para analizar la relación entre dos variables.\nEs capaz de reportar y comunicar adecuada y eficientemente los resultados de los análisis estadísticos" + }, + { + "objectID": "syllabus.html#saberes-contenidos", + "href": "syllabus.html#saberes-contenidos", + "title": "Programa", + "section": "Saberes / Contenidos", + "text": "Saberes / Contenidos\n\nUnidad I: Inferencia\n\nDatos, variables y probabilidad\nCurva normal y error estándar\nIntervalos de confianza\nTest de hipótesis\nHipótesis no direccionales y para proporciones\n\n\n\nUnidad II: Asociación\n\nAsociación y covarianza\nCorrelación de Pearson\nCorrelación con variables ordinales\nMatrices y tamaños de efecto en correlación\nAsociación con variables categóricas\n\n\n\nUnidad III: Reporte\n\nResponder problemas de investigación de lógica bivariada con datos reales\nEscritura de reportes de investigación\nVisualización de datos\nPresentación de resultados" + }, + { + "objectID": "syllabus.html#metodología", + "href": "syllabus.html#metodología", + "title": "Programa", + "section": "Metodología", + "text": "Metodología\n\nSesiones de clases lectivas presenciales semanales, donde se presentarán los aspectos centrales de los contenidos correspondientes a la semana.\nPrácticos: los temas del curso se acompañan de guías prácticas de aplicación de contenidos. Estas guías están diseñadas para ser desarrolladas de manera autónoma, y también habrá espacio de revisión y consultas en el espacio de clases.\nTrabajos: se desarrollarán trabajos de investigación que permitirán a l_s participantes aplicar contenidos y recibir retroalimentación de su desempeño. Los trabajos serán asesorados por ayudantes que se asignarán a cada grupo.\n\nEl semestre comienza con clases lectivas, y posteriormente se integran elementos prácticos y de aplicación.\n\nLas clases en general se acompañan de documentos de presentación, que estarán disponibles antes de la sesión en la página de Clases, y están desarrollados con base en Rmarkdown/Xaringan. Estos documentos no son:\n\n“la clase”\nautoexplicativos (ni aspiran a serlo)\n“el ppt” (ni menos “la ppt”)" + }, + { + "objectID": "syllabus.html#evaluación", + "href": "syllabus.html#evaluación", + "title": "Programa", + "section": "Evaluación", + "text": "Evaluación\nEl curso tendrá tres instancias de evaluación:\n\nEvaluación 1: Inferencia (35% = 30% teórico + 5% práctico).\nEvaluación 2: Asociación (35% = 30% teórico + 5% práctico)\nEvaluación 3: Reporte de aplicación - trabajo grupal (30%= 20% reporte escrito + 10% poster)\n\nLa nota ponderada de las evaluaciones equivaldrá al 60% de la nota del curso y el examen final al 40% restante.\nLas evaluaciones se distribuyen en el semestre de la siguiente manera:\n\n\n\n\n\n\n\nATENCIÓN\n\n\n\nLas fechas de evaluación no se cambian por respeto a la planificación de los tiempos de tod_s quienes participan en el curso y el cumplimiento apropiado de los objetivos de aprendizaje." + }, + { + "objectID": "syllabus.html#inasistencias-y-atraso-en-entregas", + "href": "syllabus.html#inasistencias-y-atraso-en-entregas", + "title": "Programa", + "section": "Inasistencias y atraso en entregas", + "text": "Inasistencias y atraso en entregas\nLos justificativos por ausencia o atraso se realizan en la secretaría de carrera. Lo que la carrera informe como justificado, es lo que se va a considerar en el curso. No enviar justificativos a equipo docente y a ayudantes directamente, no es necesario ni apropiado para l_s estudiantes tener que exponer situaciones personales.\nEn caso de faltar a alguna de las evaluaciones existirá una única fecha para evaluaciones recuperativas. Si en esa fecha no es posible asistir por motivos justificados, entonces pasará directo a examen.\nEn el caso de los trabajos, en caso de atraso se descontará 0.5 por día adicional. Si el trabajo no se entrega luego del tercer día de atraso será calificado con nota 1.0" + }, + { + "objectID": "syllabus.html#requisitos-de-aprobación", + "href": "syllabus.html#requisitos-de-aprobación", + "title": "Programa", + "section": "Requisitos de aprobación", + "text": "Requisitos de aprobación\nRequisitos de eximición a examen:\n\ncontar con un promedio ponderado igual o superior a 5.5\nno tener nota bajo 4.0 en ninguna de las evaluaciones\n\nRequisitos para presentación a examen:\n\nPodrán presentarse al examen de primera oportunidad los estudiantes que hayan obtenido una calificación final igual o superior a 3.5.\nEl examen de segunda oportunidad será para aquellos estudiantes que presenten una nota igual o inferior a 3.5 o aquellos que en el examen de primera oportunidad no hubiesen logrado una nota igual o superior a 4.0." + }, + { + "objectID": "syllabus.html#bibliografía-obligatoria", + "href": "syllabus.html#bibliografía-obligatoria", + "title": "Programa", + "section": "Bibliografía Obligatoria", + "text": "Bibliografía Obligatoria\nCapítulos correspondientes a cada sesión de los siguientes textos principales:\n\nRitchey, F. (2008) Estadística para las ciencias sociales. McGraw-Hill: México.\nMoore (2010) Estadística aplicada básica. Barcelona: Antoni Bosch.\nPardo, Ruiz y San Martín (2015). Análisis de Datos en Ciencias Sociales y de la Salud I. Editorial Síntesis: Madrid." + }, + { + "objectID": "syllabus.html#bibliografía-complementaria", + "href": "syllabus.html#bibliografía-complementaria", + "title": "Programa", + "section": "Bibliografía Complementaria", + "text": "Bibliografía Complementaria\nWickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data (First edition). Sebastopol: O’Reilly.\nField, A., Milles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.\nSalkind, N. J. (Ed.). (2010). Encyclopedia of research design (Vol. 1). Sage.\nLevin, J. & Levin, W. (1997). Fundamentos de Estadística en la Investigación Social (Vol.2). Oxford University Press." + }, + { + "objectID": "syllabus.html#sobre-participación-y-comunicación", + "href": "syllabus.html#sobre-participación-y-comunicación", + "title": "Programa", + "section": "Sobre participación y comunicación", + "text": "Sobre participación y comunicación\n\nSe espera asistencia y participación activa, tanto a las sesiones lectivas como a las prácticas. Se pasará lista en todas las sesiones. No habrá penalización por inasistencia, pero si llevaremos registro principalmente con objetivos de monitoreo y retroalimentación del curso.\nInformar flexibilidades académicas al principio del semestre (en caso que la jefatura de carrera no lo haga de manera centralizada). Las flexibilidades academicas no aplican para cambios de fechas de evaluaciones grupales.\nSe espera y enfatiza la participación activa por distintos canales disponibles. Estos son:\n\ncontacto por correo con equipo docente del curso (profesor y apoyos docentes)\nespacio para resolver dudas individualmente al final de la clase\nreuniones con equipo docente, para lo cual se deben inscribir previamente en la página inicial de este sitio\nforos, disponibles tanto para las clases como para los prácticos.\n\nTambién se enfatiza un trato respetuoso y horizontal. Quienes están tomando este curso serán referidos como participantes y/o estudiantes, evitar el uso de “l_s cabr_s” o “l_s chiquill_s”, que si bien puede intentar transmitir cercanía finalmente expresan minimización de la contraparte. Quien no se sienta tratad_ apropiadamente o vea que otr_s no lo están siendo, se solicita reportar para solucionar la situación." + }, + { + "objectID": "syllabus.html#programación-de-sesiones", + "href": "syllabus.html#programación-de-sesiones", + "title": "Programa", + "section": "Programación de sesiones", + "text": "Programación de sesiones\nVisitar la página de Planificación." + }, + { + "objectID": "news/2024-08-23_primera-practica.html", + "href": "news/2024-08-23_primera-practica.html", + "title": "Sesión práctica martes 27 de agosto", + "section": "", + "text": "← News\n\n\n\n\nAlgunas informaciones importantes:\n-El próximo martes 27 de agosto tendremos nuestra primera sesión práctica del curso.\n-En esta instancia contaremos con el equipo docente completo y ayudantes.\n-Aquellas personas que, por diversos motivos, no puedan contar con un computador personal para las sesiones del curso, les pedimos encarecidamente que rellenen este formulario: https://forms.gle/iGVJjAWRGYh9GGpZ8 Esta información nos permitirá ir organizando el uso de computadores de la sala de computación.\n-Nos dividiremos en dos grupos: una parte del curso en las salas C7 y C8 del aulario C (idealmente quienes dispongan de computador) y otra parte en la sala 345 de computación del edificio nuevo de Facso (para quienes no puedan contar con un computador).\n-Dentro de la próxima semana les enviaremos un correo respecto a la asignación de ayudantes para el asesoramiento en las unidades 1 y 2 del curso." + }, + { + "objectID": "news/2024-08-19_cambio-practico.html", + "href": "news/2024-08-19_cambio-practico.html", + "title": "Prácticos parten próxima semana (Martes 27)", + "section": "", + "text": "← News\n\n\n\n\nInicialmente en el programa estaba contemplado que esta semana el martes 20 comenzaba la primera sesión de prácticos, para lo cual debían traer sus computadores. 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Habrá dos guías para la Unidad 1 (Inferencia), y 2 para la Unidad 2 (Asociación). La unidad 3 será eminentemente práctica y de aplicación.\nLas guías son desarrolladas de manera autónoma, y cada dos semanas los días martes habrá un espacio práctico de revisión de las guías y de consultas. Para ello se espera que quienes puedan traigan su computador a la sala, y quienes no tienen lo podrán hacer simultáneamente en la sala de computación 345.\nEn las prácticas vamos a trabajar con el software R, Versión 4.4.1.", + "crumbs": [ + "Prácticos", + "Descripción" + ] + }, + { + "objectID": "assignment/index.html#descripción", + "href": "assignment/index.html#descripción", + "title": "Prácticos", + "section": "", + "text": "Las clases se acompañan de guías de trabajo con énfasis en la aplicación práctica mediante el uso de software estadístico.\nLas guías se encontrarán disponibles en esta página (link a la izquierda). 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Esto quiere decir que cualquier persona puede revisar cómo está hecho y aportar con modificaciones y procedimientos nuevos, como son las librerías que realizan funciones específicas.\nEl carácter de apertura de R posee muchas ventajas, pero también conlleva complicaciones. 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De todas maneras se enviará link por correo a UCursos cuando haya noticias relevantes." + }, + { + "objectID": "resource/index.html", + "href": "resource/index.html", + "title": "Recursos", + "section": "", + "text": "En esta sección se irán subiendo una serie de recursos relacionados con el curso." + }, + { + "objectID": "resource/index.html#glosario-de-conceptos", + "href": "resource/index.html#glosario-de-conceptos", + "title": "Recursos", + "section": "Glosario de conceptos", + "text": "Glosario de conceptos\n\n\n\nConcepto\nDefinición\n\n\n\n\nEstadística \nConjunto de métodos y herramientas que involucra la recopilación, análisis, interpretación y presentación de datos numéricos con el objetivo de describir patrones, relaciones y tendencias en fenómenos naturales o sociales.\n\n\nReproducibilidad \nLa capacidad de regenerar un experimento, análisis o estudio utilizando los mismos datos y métodos para llegar a los mismos resultados originales, verificando y asegurando la validez de los hallazgos.\n\n\nCiencia Social Abierta \nUn enfoque en la investigación social que promueve la transparencia, el acceso abierto a datos, métodos y resultados, y la colaboración entre investigadores para mejorar la calidad y confiabilidad de la investigación.\n\n\nProtocolo IPO (Input-Process-Output) \nSistema digital de carpetas interconectadas: entrada, proceso y salida. 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Se utiliza comúnmente para escribir documentos simples con formato, como páginas web, documentación y presentaciones.\n\n\nDocumentos dinámicos \nArchivos que combinan texto plano y código de análisis (gráficos, tablas y resultados), de manera simultánea en un solo documento, permitiendo la generación automática y reproducible de resultados actualizados a medida que cambian los datos o parámetros.\n\n\nRMarkdown \nUna extensión de Markdown en el entorno R que permite la integración simultánea de texto plano y código R y su ejecución en el documento, lo que facilita la creación de documentos dinámicos con análisis estadísticos y visualizaciones.\n\n\nLibrerías \nConjuntos de funciones y herramientas predefinidas que se pueden utilizar en lenguajes de programación, como R, para realizar tareas específicas sin tener que escribir todo el código desde cero.\n\n\nKnitear \nProceso de compilación secuencial de código y resultados de ejecución en un documento RMarkdown, generando un documento final con texto formateado, código y gráficos integrados.\n\n\nRenderizar \nEn el contexto de RMarkdown se refiere al proceso de convertir el código y contenido en un documento legible y presentable. En otras palabras, cuando renderizas un documento RMarkdown, estás transformando el código, texto y elementos visuales en un formato final, como un informe, una presentación o un documento HTML, que pueda ser compartido o presentado a otros de manera comprensible.\n\n\nYAML \nAcrónimo de “YAML Ain’t Markup Language”, es un formato de serialización de datos legible por humanos que se utiliza para configurar y definir la estructura de datos en muchos programas y aplicaciones. En RMarkdown corresponden al encabezado de instrucciones generales del documento.\n\n\nChunk \nUn bloque de código, que puede ser en R, en un documento RMarkdown, rodeado por marcas especiales que indican al sistema cómo manejar y ejecutar ese fragmento de código, y luego mostrar sus resultados en el documento final." + }, + { + "objectID": "resource/index.html#reporte", + "href": "resource/index.html#reporte", + "title": "Recursos", + "section": "Reporte", + "text": "Reporte\n\nTablas con R, con ejemplo de canciones de Spotify\nIntroduction to Quarto" + }, + { + "objectID": "resource/index.html#estadística-descriptiva", + "href": "resource/index.html#estadística-descriptiva", + "title": "Recursos", + "section": "Estadística descriptiva", + "text": "Estadística descriptiva\n\nCurso Estadística Descriptiva Sociología UChile, 1er Sem 2023" + }, + { + "objectID": "resource/index.html#uso-de-r", + "href": "resource/index.html#uso-de-r", + "title": "Recursos", + "section": "Uso de R", + "text": "Uso de R\n\nConocimientos básicos de programación en R\nImportar datos en R\nProcesamiento y análisis de datos en R (tidyverse)\nProcesamiento y análisis de datos en R (base)\nMás para aprender R" + }, + { + "objectID": "resource/index.html#inferencia", + "href": "resource/index.html#inferencia", + "title": "Recursos", + "section": "Inferencia", + "text": "Inferencia\n\nPor qué se divide la varianza por N-1?\nStatistical Inference via Data Science A ModernDive into R and the Tidyverse\nIntroduction to modern statistics (Mine Çetinkaya-Rundel and Johanna Hardin)\nInferencia univariada" + }, + { + "objectID": "resource/index.html#visualización", + "href": "resource/index.html#visualización", + "title": "Recursos", + "section": "Visualización", + "text": "Visualización\n\nVisualización descriptiva de datos en R\nR Graph Gallery" + }, + { + "objectID": "resource/index.html#bases-de-datos", + "href": "resource/index.html#bases-de-datos", + "title": "Recursos", + "section": "Bases de datos", + "text": "Bases de datos\n\nBases de datos para trabajos o investigación" + }, + { + "objectID": "news/index.html", + "href": "news/index.html", + "title": "Informaciones", + "section": "", + "text": "Acá las principales informaciones y actualizaciones del curso.\n\n\n \n \n \n Ordenar por\n Por defecto\n \n Fecha - Menos reciente\n \n \n Fecha - Más reciente\n \n \n Título\n \n \n \n \n \n \n \n\n\n\n\n\nFecha\n\n\nTítulo\n\n\nCategorías\n\n\n\n\n\n\njueves agosto 29, 2024 at 12:00 AM\n\n\nAsignación asesorías ayudantes\n\n\ninfo, mail-UCursos\n\n\n\n\nviernes agosto 23, 2024 at 12:00 AM\n\n\nSesión práctica martes 27 de agosto\n\n\ninfo, mail-UCursos\n\n\n\n\nlunes agosto 19, 2024 at 12:00 AM\n\n\nPrácticos parten próxima semana (Martes 27)\n\n\ninfo\n\n\n\n\nlunes agosto 19, 2024 at 12:00 AM\n\n\nInformaciones por acá\n\n\ninfo\n\n\n\n\n\nNo hay resultados\n\n\n\n\n\n\n\n\nSuscribirse!\n\n\n\nPuedes usar un lector de feeds como Feedly o un servicio RSS-to-email como Blogtrottr para suscribirte a cualquiera de estos mensajes.\n\n\n\n\n\n RSS" + }, + { + "objectID": "schedule.html", + "href": "schedule.html", + "title": "Planificación", + "section": "", + "text": "Este curso se compone de tres actividades principales:\n\n Clases lectivas presenciales: donde en base a las lecturas correspondientes a esa semana se presentará un resumen de los contenidos principales y se resolverán dudas.\n Guías prácticas: actividades con énfasis en el manejo de software para análisis y reporte de los resultados. Estas instancias serán conducidas guiadas por los apoyos docentes del curso.\n Lecturas: los temas del curso se acompañan de lecturas, las que se encuentras a disposición en esta página.\n\nLas actividades semanales se resumen en el siguiente esquema:\n\nEn cuanto a la metodología, el curso comienza con clases lectivas y desarrollo autónomo de guías prácticas, y en la última unidad se realizará un trabajo grupal práctico de aplicación de los contenidos.\n\n\n\n\n\n\n\n\n\n\n Agosto \n Clases\n Prácticos\n Lecturas\n\n\nLunes 12\n1. 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Guía 1 Bivariada\n\n\n\nLunes 7\nMatrices y tamaños de efecto en correlación\n\n\n\n\nMartes 8\nAsociación con categóricas 1\n\n\n\n\nLunes 14\nAsociación con categóricas 2\n\n\n\n\nMartes 15\n\nPráctico: Guía 2 Bivariada\n\n\n\nLunes 21\nEvaluación 2\n\n\n\n\nMartes 22\nEvaluación 2\n\n\n\n\nLunes 28\nSemana receso\n\n\n\n\nMartes 29\nSemana receso\n\n\n\n\n\n\n\n\n\n\nLunes 4\nSeminario encuestas\n\n\n\n\nMartes 5\n\nDefinición de grupos y temas\n\n\n\nLunes 11\nEscritura de reportes de investigación\n\n\n\n\nMartes 12\n\nReportes dinámicos y\nPlantilla trabajo final\n\n\n\nLunes 18\nVisualización de datos 1\n\n\n\n\nMartes 19\n\nVisualización 1\n\n\n\nLunes 25\nVisualización de datos 2\n\n\n\n\nMartes 26\n\nVisualización 2 y elaboración de poster\n\n\n\nLunes 25\nPresentación de poster de investigación\n\n\n\n\nMartes 26\nPruebas recuperativas\n\n\n\n\nViernes 29\nEntrega de trabajo final grupal" + }, + { + "objectID": "schedule.html#forma-general-de-funcionamiento", + "href": "schedule.html#forma-general-de-funcionamiento", + "title": "Planificación", + "section": "", + "text": "Este curso se compone de tres actividades principales:\n\n Clases lectivas presenciales: donde en base a las lecturas correspondientes a esa semana se presentará un resumen de los contenidos principales y se resolverán dudas.\n Guías prácticas: actividades con énfasis en el manejo de software para análisis y reporte de los resultados. Estas instancias serán conducidas guiadas por los apoyos docentes del curso.\n Lecturas: los temas del curso se acompañan de lecturas, las que se encuentras a disposición en esta página.\n\nLas actividades semanales se resumen en el siguiente esquema:\n\nEn cuanto a la metodología, el curso comienza con clases lectivas y desarrollo autónomo de guías prácticas, y en la última unidad se realizará un trabajo grupal práctico de aplicación de los contenidos.\n\n\n\n\n\n\n\n\n\n\n Agosto \n Clases\n Prácticos\n Lecturas\n\n\nLunes 12\n1. Presentación\n\nLeer detalladamente programa del curso\n\n\n\n\n\n\n\n\n\n\n Agosto \n Clases\n Prácticos\n Lecturas\n\n\nMartes 13\nDatos, probabilidad y distribuciones muestrales\n\n*Pardo cap 2 Conceptos previos\nRichtey 1-21 : La imaginación estadística\n\n\nLunes 19\nError estándar y distribución normal\n\n*Richtey cap 6\nPardo cap 6 Probabilidad y distribución normal\n\n\nMartes 20\nIntervalos de confianza\n\n*Richtey cap 7 Probabilidad y distribuciones muestrales\n\n\nLunes 26\nTest de hipótesis\n\n*Richtey cap 8: Intervalos de confianza\n*Richtey cap 9: Prueba de hipótesis\nMontoya: Los conceptos de especificación y falsación\n\n\nMartes 27\n\nPráctico: Inferencia 1\n\n\n\n Septiembre \n\n\n\n\n\nLunes 2\nHipótesis para una y dos muestras\n\n*Richtey cap 10: Hipótesis de una muestra\n*Richtey cap 11: Hipótesis de dos muestras (prueba t)\n\n\nMartes 3\n\nPráctico Inferencia 2\n\n\n\nLunes 9\nEvaluación 1\n\n\n\n\nMartes 10\nEvaluación 1\n\n\n\n\n\n\n\n\n\n\nLunes 23\nAsociación y covarianza\n\n\n\n\nMartes 24\nInferencia en correlación de Pearson\n\n\n\n\nLunes 30\nCorrelación con ordinales\n\n\n\n\nMartes 1\n\nPráctico. Guía 1 Bivariada\n\n\n\nLunes 7\nMatrices y tamaños de efecto en correlación\n\n\n\n\nMartes 8\nAsociación con categóricas 1\n\n\n\n\nLunes 14\nAsociación con categóricas 2\n\n\n\n\nMartes 15\n\nPráctico: Guía 2 Bivariada\n\n\n\nLunes 21\nEvaluación 2\n\n\n\n\nMartes 22\nEvaluación 2\n\n\n\n\nLunes 28\nSemana receso\n\n\n\n\nMartes 29\nSemana receso\n\n\n\n\n\n\n\n\n\n\nLunes 4\nSeminario encuestas\n\n\n\n\nMartes 5\n\nDefinición de grupos y temas\n\n\n\nLunes 11\nEscritura de reportes de investigación\n\n\n\n\nMartes 12\n\nReportes dinámicos y\nPlantilla trabajo final\n\n\n\nLunes 18\nVisualización de datos 1\n\n\n\n\nMartes 19\n\nVisualización 1\n\n\n\nLunes 25\nVisualización de datos 2\n\n\n\n\nMartes 26\n\nVisualización 2 y elaboración de poster\n\n\n\nLunes 25\nPresentación de poster de investigación\n\n\n\n\nMartes 26\nPruebas recuperativas\n\n\n\n\nViernes 29\nEntrega de trabajo final grupal" + }, + { + "objectID": "schedule.html#exámenes-finales-escritos-en-sala", + "href": "schedule.html#exámenes-finales-escritos-en-sala", + "title": "Planificación", + "section": "Exámenes finales (escritos, en sala)", + "text": "Exámenes finales (escritos, en sala)\nVer requisitos de aprobación y eximición\n\nExamen de primera oportunidad: Lunes 9 Diciembre 10:15\nExamen de segunda oportunidad: Lunes 16 Diciembre 10:15" + }, + { + "objectID": "index.html", + "href": "index.html", + "title": "\n Estadística Correlacional\n ", + "section": "", + "text": "Inferencia, asociación y reporte\n \n \n SOC01019 • Segundo Semestre 2024Departamento de Sociología, Facultad de Ciencias SocialesUniversidad de Chile\n:::: {.columns}" + }, + { + "objectID": "index.html#últimas-informaciones", + "href": "index.html#últimas-informaciones", + "title": "\n Estadística Correlacional\n ", + "section": "Últimas informaciones", + "text": "Últimas informaciones\n\n\n\n\n\n\n\n\n\n\nAsignación asesorías ayudantes\n\n\n\n\n\n\n\n\n\nAug 30, 2024\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSesión práctica martes 27 de agosto\n\n\n\n\n\n\n\n\n\nAug 23, 2024\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nPrácticos parten próxima semana (Martes 27)\n\n\n\n\n\n\n\n\n\nAug 19, 2024\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nInformaciones por acá\n\n\n\n\n\n\n\n\n\nAug 19, 2024\n\n\n\n\n\n\n\n\nNo matching items\n\n\n-> ir a página de Informaciones" + }, + { + "objectID": "index.html#versiones-previas-del-curso", + "href": "index.html#versiones-previas-del-curso", + "title": "\n Estadística Correlacional\n ", + "section": "Versiones previas del curso:", + "text": "Versiones previas del curso:\n\n2023" + }, + { + "objectID": "assignment/02-practico.html", + "href": "assignment/02-practico.html", + "title": "Práctico 2: Intentando rechazar", + "section": "", + "text": "El objetivo de esta guía práctica es realizar una serie de ejercicios de inferencia estadística, tomando como base todos los contenidos de la Unidad 1.\nEn detalle, aprenderemos:\n\nAplicar pruebas de hipótesis de diferencia de medias.\nAplicar pruebas de hipótesis direccionales.\nAplicar e interpretar los pasos de inferencia estadística.\n\n\n\nEn esta práctica trabajaremos con un subconjunto de datos previamente procesados de la Encuesta de Caracterización Socioeconómica (CASEN) del año 2022, elaborada por el Ministerio de Desarrollo Social y Familia. Para este ejercicio, obtendremos directamente esta base desde internet. No obstante, también tienes la opción de acceder a la misma información a través del siguiente enlace: CASEN 20222. Desde allí, podrás descargar el archivo que contiene el subconjunto procesado de la base de datos CASEN 2022.\n\n\n\n\nEn inferencia, las pruebas de hipótesis nos ayudan a determinar si el resultado que obtenemos en nuestra muestra es un efecto real/extensible a la población o un error. Aquí recomendamos una lista de cinco pasos lógicos para enfrentarnos a la inferencia estadística:\n\n\n\n\nPaso\n\n\nDetalle\n\n\n\n\n1\n\n\nFormula \\(H_0\\) y \\(H_A\\) y estipula la dirección de la prueba\n\n\n\n\n2\n\n\nCalcula el error estándar (SE) y el valor estimado de la prueba (ej: Z o t)\n\n\n\n\n3\n\n\nEspecifica la probabilidad de error \\(\\alpha\\) y el valor crítico de la prueba\n\n\n\n\n4\n\n\nContrasta el valor estimado con el valor crítico\n\n\n\n\n5\n\n\nIntrepreta los resultados\n\n\n\nAdemás de estos 5 pasos también existe la posibilidad de calcular un intervalo de confianza, que acompañe la precisión de nuestra estimación.", + "crumbs": [ + "Prácticos", + "Guías", + "2: Intentando Rechazar" + ] + }, + { + "objectID": "assignment/02-practico.html#formulación-de-hipótesis", + "href": "assignment/02-practico.html#formulación-de-hipótesis", + "title": "Práctico 2: Intentando rechazar", + "section": "1. Formulación de hipótesis", + "text": "1. Formulación de hipótesis\nEl primer paso es traducir nuestra pregunta a una hipótesis estadística contrastable. Para ello: a) elija el tipo de hipótesis a plantear ¿direccional o no direccional? y b) especifique la hipótesis nula (\\(H_0\\)) e hipótesis alternativa (\\(H_A\\)).", + "crumbs": [ + "Prácticos", + "Guías", + "2: Intentando Rechazar" + ] + }, + { + "objectID": "assignment/02-practico.html#pasos-2-3-y-4-de-una-vez-con-r", + "href": "assignment/02-practico.html#pasos-2-3-y-4-de-una-vez-con-r", + "title": "Práctico 2: Intentando rechazar", + "section": "Pasos 2, 3 y 4 de una vez con R", + "text": "Pasos 2, 3 y 4 de una vez con R\nSiguiendo el ejemplo del Ejercicio 1, utilice el software para generar los estadísticos correspondientes. Contraste sus hipótesis considerando un 95% de confianza y un 99% de confianza. Comente las diferencias en el paso 5.", + "crumbs": [ + "Prácticos", + "Guías", + "2: Intentando Rechazar" + ] + }, + { + "objectID": "assignment/02-practico.html#interpretación", + "href": "assignment/02-practico.html#interpretación", + "title": "Práctico 2: Intentando rechazar", + "section": "5. Interpretación", + "text": "5. Interpretación" + }, + { + "objectID": "assignment/01-practico.html", + "href": "assignment/01-practico.html", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "", + "text": "El objetivo de esta guía práctica es introducirnos en la inferencia estadística, revisando los conceptos y aplicaciones de la curva normal y las probabilidades bajo esta con puntajes Z, además del cálculo de intervalos de confianza.\nEn detalle, aprenderemos y recordaremos:\n\nLos conceptos de promedio y desviación estándar\nQué es la probabilidad y su aplicación para estadística\nQué es la distribución normal\nCómo calcular e interpretar intervalos de confianza\n\n\n\nCargaremos algunas librerías que serán necesarias en las diferentes partes de esta guía práctica:\n\nlibrary(pacman)\npacman::p_load(tidyverse, # para sintaxis\n ggplot2, # para gráficos\n car, # para recodificar\n psych, # para analizar datos\n sjmisc, # para analizar datos\n srvyr, # para estimación de IC y ponderadores\n Publish) # para IC) \n\noptions(scipen = 999) # para desactivar notacion cientifica\nrm(list = ls()) # para limpar el entonrno de trabajo", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#librerías", + "href": "assignment/01-practico.html#librerías", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "", + "text": "Cargaremos algunas librerías que serán necesarias en las diferentes partes de esta guía práctica:\n\nlibrary(pacman)\npacman::p_load(tidyverse, # para sintaxis\n ggplot2, # para gráficos\n car, # para recodificar\n psych, # para analizar datos\n sjmisc, # para analizar datos\n srvyr, # para estimación de IC y ponderadores\n Publish) # para IC) \n\noptions(scipen = 999) # para desactivar notacion cientifica\nrm(list = ls()) # para limpar el entonrno de trabajo", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#curvas-de-distribución", + "href": "assignment/01-practico.html#curvas-de-distribución", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "3.1. Curvas de distribución", + "text": "3.1. Curvas de distribución\nPor distribución nos referimos al conjunto de todos los valores posibles de una variable y las frecuencias (o probabilidades) con las que se producen.\nExisten distribuciones empíricas y distribuciones teóricas, en donde:\n\nlas primeras reflejan la distribución de los valores que asume la variable en un grupo concreto a partir de una observación.\nlas segundas son una función matématica que expresan la distribución de un conjunto de números mediante su probabilidad de ocurencia.\n\nEstas últimas son también llamadas curvas de distribución.", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#distribución-normal-1", + "href": "assignment/01-practico.html#distribución-normal-1", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "3.2. Distribución Normal", + "text": "3.2. Distribución Normal\nEs una distribución teórica que corresponde a una curva que representa la distribución de los casos de la población en torno al promedio y con una varianza conocida.\n\nSimétricas y con un solo punto de elevación\nLa pendiente es más fuerte cerca del centro, y se suaviza hacia los extremos\nCoinciden al centro el promedio, la mediana y la moda\nLa desviación estandar expresa su dispersión.\nEstablece áreas o proporciones bajo la curva en base a desviaciones estándar del promedio.", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#distribución-normal-estándar", + "href": "assignment/01-practico.html#distribución-normal-estándar", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "3.3. Distribución Normal Estándar", + "text": "3.3. Distribución Normal Estándar\nLa distribución normal estándar es una distribución normal con una media de 0 y una desviación estándar de 1.", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#puntaje-z-y-estandarización-de-variables", + "href": "assignment/01-practico.html#puntaje-z-y-estandarización-de-variables", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "3.4. Puntaje Z y estandarización de variables", + "text": "3.4. Puntaje Z y estandarización de variables\nAl estandarizar las variables (como en la Curva Normal Estándar) lo que hacemos es expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal. Esto nos permite comparar distribuciones distintas.\nAl valor estandarizado lo llamamos puntaje Z, y corresponde a la cantidad de desviaciones estándar que nos alejamos del promedio (para cada variable con la que trabajemos).", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#cálculo-de-probabilidades-con-puntaje-z", + "href": "assignment/01-practico.html#cálculo-de-probabilidades-con-puntaje-z", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "3.5. Cálculo de probabilidades con puntaje z", + "text": "3.5. Cálculo de probabilidades con puntaje z\nLos valores estandarizados o puntajes Z además nos permiten conocer probabilidades.\nCon R es posible generar un conjunto de datos simulados con una distribución normal.\n\nx_values <- seq(-4,4,length=1000)\ny_values <- dnorm(x_values)\nplot(x_values,y_values,type=\"l\",xlab=\"Valor Z\",ylab=\"Probabilidad\",main=\"Distribución Normal\")\n\n\n\n\n\n\n\n\nPodemos preguntar qué parte de la curva cae por debajo de un valor particular. Por ejemplo, preguntaremos sobre el valor 0 antes de ejecutar el código. Piense ¿cuál debería ser la respuesta?\n\npnorm(q = 0)\n\n[1] 0.5\n\n\nPor tanto, la probabilidad (en una curva normal estándar) de obtener un valor igual o menor a 0 es de 0.5, es decir, del 50%, pero ¿por qué?\n\nPorque como la distribución normal estándar es simétrica al rededor de cero, la probabilidad de que sea menor o igual a cero es 0.5, es decir, el 50% de la distribución está por debajo de cero y el otro 50% está por encima de cero.\n\nEso lo podemos ver en el gráfico:\n\nplot(x_values,y_values,type=\"l\",xlab=\"Valor Z\",ylab=\"Probabilidad\",main=\"Distribución Normal\")\nabline(v=0)\n\n\n\n\n\n\n\n\nAhora probemos los valores Z de +1,96 y -1,96.\nSabemos que estos valores aproximados marcan el 2,5% superior e inferior de la distribución normal estándar. Esto corresponde a un alfa típico \\(\\alpha = 0,05\\) para una prueba de hipótesis de dos colas.\n\npnorm(q = 1.96, lower.tail=TRUE)\n\n[1] 0.9750021\n\n\nLa respuesta nos dice lo que ya sabemos: el 97,5% de la distribución normal ocurre por debajo del valor z de 1,96.\nPodemos agregar una línea al gráfico para mostrar dónde se usaría abline.\nEl 97,5% de la distribución queda por debajo de esta línea.\n\nplot(x_values, y_values, type=\"l\", lty=1, xlab=\"Z value\", ylab=\"Probability\", main=\"Normal Distribution\") +\nabline(v = 1.96)\n\n\n\n\n\n\n\n\ninteger(0)", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/01-practico.html#cálculo-de-intervalos-de-confianza", + "href": "assignment/01-practico.html#cálculo-de-intervalos-de-confianza", + "title": "Distribución Normal e Intervalos de Confianza", + "section": "4.1. Cálculo de intervalos de confianza", + "text": "4.1. Cálculo de intervalos de confianza\nEn el caso de nuestro vector aleatorio, un intervalo de confianza para la media se puede calcular de la siguiente manera:\n\n# Calcular un intervalo de confianza para la media\nintervalo_confianza <- t.test(vector)$conf.int # Intervalo de confianza del 95% para la media\nintervalo_confianza\n\n[1] 4.818567 5.543057\nattr(,\"conf.level\")\n[1] 0.95\n\n\nTambién podemos calcular intervalos de confianza para casos reales. Carguemos la base de datos que utilizaremos, que corresponde a un subset de la Encuesta Suplementaria de ingresos ESI para ocupados:\n\nload(url(\"https://github.com/cursos-metodos-facso/datos-ejemplos/raw/main/esi-2021-ocupados.rdata\"))\n\n\n\n\n\n\n\nNota\n\n\n\nRecordemos que podemos contar con bases de datos que tengan factor de expansión (ponderador) o no. Esta distinción se presenta cuando trabajamos con muestras simples o complejas. Al trabajar con muestras complejas debemos identificar cuál es la variable del ponderador e incorporarla en nuestro cálculo.\nEn esta guía practicaa trabajaremos sin factores de expansión o ponderadores.\n\n\n\nIC para Medias\nCalculemos un intervalo de confianza para la media de ingresos de personas ocupadas:\n\npsych::describe(esi$ing_t_p)\n\n vars n mean sd median trimmed mad min max\nX1 1 37124 586360.4 697362.9 405347.7 474473.1 255411.6 0 38206253\n range skew kurtosis se\nX1 38206253 12 402.32 3619.36\n\n\n\nPublish::ci.mean(esi$ing_t_p, alpha = 0.05)\n\n mean CI-95% \n 586360.41 [579266.37;593454.45]\n\n\nContamos con una media de ingresos de $586.360 como estimación puntual. Pero también podemos decir que con un 95% de confianza el parámetro poblacional se encontrará entre $579.266 y $593.454.", + "crumbs": [ + "Prácticos", + "Guías", + "1: Curva Normal e Intervalos de Confianza" + ] + }, + { + "objectID": "assignment/02-practico.html#recursos-de-la-práctica", + "href": "assignment/02-practico.html#recursos-de-la-práctica", + "title": "Práctico 2: Intentando rechazar", + "section": "", + "text": "En esta práctica trabajaremos con un subconjunto de datos previamente procesados de la Encuesta de Caracterización Socioeconómica (CASEN) del año 2022, elaborada por el Ministerio de Desarrollo Social y Familia. Para este ejercicio, obtendremos directamente esta base desde internet. No obstante, también tienes la opción de acceder a la misma información a través del siguiente enlace: CASEN 20222. Desde allí, podrás descargar el archivo que contiene el subconjunto procesado de la base de datos CASEN 2022.", + "crumbs": [ + "Prácticos", + "Guías", + "2: Intentando Rechazar" + ] + }, + { + "objectID": "assignment/02-practico.html#cinco-pasos-para-la-inferencia-estadística", + "href": "assignment/02-practico.html#cinco-pasos-para-la-inferencia-estadística", + "title": "Práctico 2: Intentando rechazar", + "section": "", + "text": "En inferencia, las pruebas de hipótesis nos ayudan a determinar si el resultado que obtenemos en nuestra muestra es un efecto real/extensible a la población o un error. Aquí recomendamos una lista de cinco pasos lógicos para enfrentarnos a la inferencia estadística:\n\n\n\n\nPaso\n\n\nDetalle\n\n\n\n\n1\n\n\nFormula \\(H_0\\) y \\(H_A\\) y estipula la dirección de la prueba\n\n\n\n\n2\n\n\nCalcula el error estándar (SE) y el valor estimado de la prueba (ej: Z o t)\n\n\n\n\n3\n\n\nEspecifica la probabilidad de error \\(\\alpha\\) y el valor crítico de la prueba\n\n\n\n\n4\n\n\nContrasta el valor estimado con el valor crítico\n\n\n\n\n5\n\n\nIntrepreta los resultados\n\n\n\nAdemás de estos 5 pasos también existe la posibilidad de calcular un intervalo de confianza, que acompañe la precisión de nuestra estimación.", + "crumbs": [ + "Prácticos", + "Guías", + "2: Intentando Rechazar" + ] + } +] \ No newline at end of file diff --git a/docs/site_libs/bootstrap/bootstrap-icons.css b/docs/site_libs/bootstrap/bootstrap-icons.css new file mode 100644 index 00000000..285e4448 --- /dev/null +++ b/docs/site_libs/bootstrap/bootstrap-icons.css @@ -0,0 +1,2078 @@ 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar 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.dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(1px*-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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30'%3e%3cpath stroke='%23fdfdfe' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%23fdfdfe' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.25rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.25rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(52, 58, 64, 0.25);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #fff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 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.nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: #343a40;--bs-accordion-bg: #fff;--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: #dee2e6;--bs-accordion-border-width: 1px;--bs-accordion-border-radius: 0.25rem;--bs-accordion-inner-border-radius: calc(0.25rem - 1px);--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: #343a40;--bs-accordion-btn-bg: #fff;--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23343a40'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231a083f'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #a18ace;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(66, 21, 157, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: #1a083f;--bs-accordion-active-bg: #d9d0eb}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1.25rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238e73c4'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238e73c4'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(52, 58, 64, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(52, 58, 64, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1.25rem;--bs-pagination-color: #CF4446;--bs-pagination-bg: #fff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #FB9E07;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #FB9E07;--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(66, 21, 157, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #42159D;--bs-pagination-active-border-color: #42159D;--bs-pagination-disabled-color: rgba(52, 58, 64, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:calc(1.28125rem + 0.375vw);--bs-pagination-border-radius: 0.5rem}@media(min-width: 1200px){.pagination-lg{--bs-pagination-font-size:1.5625rem}}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:1.09375rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 1.2em;--bs-badge-padding-y: 0.6em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 400;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 0 solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.9375rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #42159D;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #343a40;--bs-list-group-bg: #fff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(52, 58, 64, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #343a40;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(52, 58, 64, 0.75);--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #42159D;--bs-list-group-active-border-color: 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(66, 21, 157, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(255, 255, 255, 0.85);--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(52, 58, 64, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header 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var(--bg-gradient-start, 36%), #02b875 var(--bg-gradient-end, 180%)) #0fab9d;color:#fff}.bg-gradient-cyan-teal{--bslib-color-fg: #fff;--bslib-color-bg: #1bb2ab;background:linear-gradient(var(--bg-gradient-deg, 140deg), #17a2b8 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1bb2ab;color:#fff}:root{--bslib-value-box-shadow: none;--bslib-value-box-border-width-auto-yes: var(--bslib-value-box-border-width-baseline);--bslib-value-box-border-width-auto-no: 0;--bslib-value-box-border-width-baseline: 1px}.bslib-value-box{border-width:var(--bslib-value-box-border-width-auto-no, var(--bslib-value-box-border-width-baseline));container-name:bslib-value-box;container-type:inline-size}.bslib-value-box.card{box-shadow:var(--bslib-value-box-shadow)}.bslib-value-box.border-auto{border-width:var(--bslib-value-box-border-width-auto-yes, var(--bslib-value-box-border-width-baseline))}.bslib-value-box.default{--bslib-value-box-bg-default: var(--bs-card-bg, #fff);--bslib-value-box-border-color-default: var(--bs-card-border-color, rgba(0, 0, 0, 0.175));color:var(--bslib-value-box-color);background-color:var(--bslib-value-box-bg, var(--bslib-value-box-bg-default));border-color:var(--bslib-value-box-border-color, var(--bslib-value-box-border-color-default))}.bslib-value-box .value-box-grid{display:grid;grid-template-areas:"left right";align-items:center;overflow:hidden}.bslib-value-box .value-box-showcase{height:100%;max-height:var(---bslib-value-box-showcase-max-h, 100%)}.bslib-value-box .value-box-showcase,.bslib-value-box .value-box-showcase>.html-fill-item{width:100%}.bslib-value-box[data-full-screen=true] .value-box-showcase{max-height:var(---bslib-value-box-showcase-max-h-fs, 100%)}@media screen and (min-width: 575.98px){@container bslib-value-box (max-width: 300px){.bslib-value-box:not(.showcase-bottom) .value-box-grid{grid-template-columns:1fr !important;grid-template-rows:auto auto;grid-template-areas:"top" "bottom"}.bslib-value-box:not(.showcase-bottom) .value-box-grid .value-box-showcase{grid-area:top !important}.bslib-value-box:not(.showcase-bottom) .value-box-grid .value-box-area{grid-area:bottom !important;justify-content:end}}}.bslib-value-box .value-box-area{justify-content:center;padding:1.5rem 1rem;font-size:.9rem;font-weight:500}.bslib-value-box .value-box-area *{margin-bottom:0;margin-top:0}.bslib-value-box .value-box-title{font-size:1rem;margin-top:0;margin-bottom:.5rem;font-weight:700;line-height:1.2}.bslib-value-box .value-box-title:empty::after{content:" "}.bslib-value-box .value-box-value{font-size:calc(1.35625rem + 1.275vw);margin-top:0;margin-bottom:.5rem;font-weight:700;line-height:1.2}@media(min-width: 1200px){.bslib-value-box .value-box-value{font-size:2.3125rem}}.bslib-value-box .value-box-value:empty::after{content:" "}.bslib-value-box .value-box-showcase{align-items:center;justify-content:center;margin-top:auto;margin-bottom:auto;padding:1rem}.bslib-value-box .value-box-showcase .bi,.bslib-value-box .value-box-showcase .fa,.bslib-value-box .value-box-showcase .fab,.bslib-value-box .value-box-showcase .fas,.bslib-value-box .value-box-showcase .far{opacity:.85;min-width:50px;max-width:125%}.bslib-value-box .value-box-showcase .bi,.bslib-value-box .value-box-showcase .fa,.bslib-value-box .value-box-showcase .fab,.bslib-value-box .value-box-showcase .fas,.bslib-value-box .value-box-showcase .far{font-size:4rem}.bslib-value-box.showcase-top-right .value-box-grid{grid-template-columns:1fr var(---bslib-value-box-showcase-w, 50%)}.bslib-value-box.showcase-top-right .value-box-grid .value-box-showcase{grid-area:right;margin-left:auto;align-self:start;align-items:end;padding-left:0;padding-bottom:0}.bslib-value-box.showcase-top-right .value-box-grid .value-box-area{grid-area:left;align-self:end}.bslib-value-box.showcase-top-right[data-full-screen=true] .value-box-grid{grid-template-columns:auto var(---bslib-value-box-showcase-w-fs, 1fr)}.bslib-value-box.showcase-top-right[data-full-screen=true] .value-box-grid>div{align-self:center}.bslib-value-box.showcase-top-right:not([data-full-screen=true]) .value-box-showcase{margin-top:0}@container bslib-value-box (max-width: 300px){.bslib-value-box.showcase-top-right:not([data-full-screen=true]) .value-box-grid .value-box-showcase{padding-left:1rem}}.bslib-value-box.showcase-left-center .value-box-grid{grid-template-columns:var(---bslib-value-box-showcase-w, 30%) auto}.bslib-value-box.showcase-left-center[data-full-screen=true] .value-box-grid{grid-template-columns:var(---bslib-value-box-showcase-w-fs, 1fr) auto}.bslib-value-box.showcase-left-center:not([data-fill-screen=true]) .value-box-grid .value-box-showcase{grid-area:left}.bslib-value-box.showcase-left-center:not([data-fill-screen=true]) .value-box-grid .value-box-area{grid-area:right}.bslib-value-box.showcase-bottom .value-box-grid{grid-template-columns:1fr;grid-template-rows:1fr var(---bslib-value-box-showcase-h, auto);grid-template-areas:"top" "bottom";overflow:hidden}.bslib-value-box.showcase-bottom .value-box-grid .value-box-showcase{grid-area:bottom;padding:0;margin:0}.bslib-value-box.showcase-bottom .value-box-grid .value-box-area{grid-area:top}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid{grid-template-rows:1fr var(---bslib-value-box-showcase-h-fs, 2fr)}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid .value-box-showcase{padding:1rem}[data-bs-theme=dark] .bslib-value-box{--bslib-value-box-shadow: 0 0.5rem 1rem rgb(0 0 0 / 50%)}@media(min-width: 576px){.nav:not(.nav-hidden){display:flex !important;display:-webkit-flex !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column){float:none !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column)>.bslib-nav-spacer{margin-left:auto !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column)>.form-inline{margin-top:auto;margin-bottom:auto}.nav:not(.nav-hidden).nav-stacked{flex-direction:column;-webkit-flex-direction:column;height:100%}.nav:not(.nav-hidden).nav-stacked>.bslib-nav-spacer{margin-top:auto !important}}.bslib-card{overflow:auto}.bslib-card .card-body+.card-body{padding-top:0}.bslib-card .card-body{overflow:auto}.bslib-card .card-body p{margin-top:0}.bslib-card .card-body p:last-child{margin-bottom:0}.bslib-card .card-body{max-height:var(--bslib-card-body-max-height, none)}.bslib-card[data-full-screen=true]>.card-body{max-height:var(--bslib-card-body-max-height-full-screen, none)}.bslib-card .card-header .form-group{margin-bottom:0}.bslib-card .card-header .selectize-control{margin-bottom:0}.bslib-card .card-header .selectize-control .item{margin-right:1.15rem}.bslib-card .card-footer{margin-top:auto}.bslib-card .bslib-navs-card-title{display:flex;flex-wrap:wrap;justify-content:space-between;align-items:center}.bslib-card .bslib-navs-card-title .nav{margin-left:auto}.bslib-card .bslib-sidebar-layout:not([data-bslib-sidebar-border=true]){border:none}.bslib-card .bslib-sidebar-layout:not([data-bslib-sidebar-border-radius=true]){border-top-left-radius:0;border-top-right-radius:0}[data-full-screen=true]{position:fixed;inset:3.5rem 1rem 1rem;height:auto !important;max-height:none !important;width:auto !important;z-index:1070}.bslib-full-screen-enter{display:none;position:absolute;bottom:var(--bslib-full-screen-enter-bottom, 0.2rem);right:var(--bslib-full-screen-enter-right, 0);top:var(--bslib-full-screen-enter-top);left:var(--bslib-full-screen-enter-left);color:var(--bslib-color-fg, var(--bs-card-color));background-color:var(--bslib-color-bg, var(--bs-card-bg, var(--bs-body-bg)));border:var(--bs-card-border-width) solid var(--bslib-color-fg, var(--bs-card-border-color));box-shadow:0 2px 4px rgba(0,0,0,.15);margin:.2rem .4rem;padding:.55rem !important;font-size:.8rem;cursor:pointer;opacity:.7;z-index:1070}.bslib-full-screen-enter:hover{opacity:1}.card[data-full-screen=false]:hover>*>.bslib-full-screen-enter{display:block}.bslib-has-full-screen .card:hover>*>.bslib-full-screen-enter{display:none}@media(max-width: 575.98px){.bslib-full-screen-enter{display:none !important}}.bslib-full-screen-exit{position:relative;top:1.35rem;font-size:.9rem;cursor:pointer;text-decoration:none;display:flex;float:right;margin-right:2.15rem;align-items:center;color:rgba(var(--bs-body-bg-rgb), 0.8)}.bslib-full-screen-exit:hover{color:rgba(var(--bs-body-bg-rgb), 1)}.bslib-full-screen-exit svg{margin-left:.5rem;font-size:1.5rem}#bslib-full-screen-overlay{position:fixed;inset:0;background-color:rgba(var(--bs-body-color-rgb), 0.6);backdrop-filter:blur(2px);-webkit-backdrop-filter:blur(2px);z-index:1069;animation:bslib-full-screen-overlay-enter 400ms cubic-bezier(0.6, 0.02, 0.65, 1) forwards}@keyframes bslib-full-screen-overlay-enter{0%{opacity:0}100%{opacity:1}}.bslib-grid{display:grid !important;gap:var(--bslib-spacer, 1rem);height:var(--bslib-grid-height)}.bslib-grid.grid{grid-template-columns:repeat(var(--bs-columns, 12), minmax(0, 1fr));grid-template-rows:unset;grid-auto-rows:var(--bslib-grid--row-heights);--bslib-grid--row-heights--xs: unset;--bslib-grid--row-heights--sm: unset;--bslib-grid--row-heights--md: unset;--bslib-grid--row-heights--lg: unset;--bslib-grid--row-heights--xl: unset;--bslib-grid--row-heights--xxl: unset}.bslib-grid.grid.bslib-grid--row-heights--xs{--bslib-grid--row-heights: var(--bslib-grid--row-heights--xs)}@media(min-width: 576px){.bslib-grid.grid.bslib-grid--row-heights--sm{--bslib-grid--row-heights: var(--bslib-grid--row-heights--sm)}}@media(min-width: 768px){.bslib-grid.grid.bslib-grid--row-heights--md{--bslib-grid--row-heights: var(--bslib-grid--row-heights--md)}}@media(min-width: 992px){.bslib-grid.grid.bslib-grid--row-heights--lg{--bslib-grid--row-heights: var(--bslib-grid--row-heights--lg)}}@media(min-width: 1200px){.bslib-grid.grid.bslib-grid--row-heights--xl{--bslib-grid--row-heights: var(--bslib-grid--row-heights--xl)}}@media(min-width: 1400px){.bslib-grid.grid.bslib-grid--row-heights--xxl{--bslib-grid--row-heights: var(--bslib-grid--row-heights--xxl)}}.bslib-grid>*>.shiny-input-container{width:100%}.bslib-grid-item{grid-column:auto/span 1}@media(max-width: 767.98px){.bslib-grid-item{grid-column:1/-1}}@media(max-width: 575.98px){.bslib-grid{grid-template-columns:1fr !important;height:var(--bslib-grid-height-mobile)}.bslib-grid.grid{height:unset !important;grid-auto-rows:var(--bslib-grid--row-heights--xs, auto)}}.accordion .accordion-header{font-size:calc(1.35625rem + 1.275vw);margin-top:0;margin-bottom:.5rem;font-weight:700;line-height:1.2;color:var(--bs-heading-color);margin-bottom:0}@media(min-width: 1200px){.accordion .accordion-header{font-size:2.3125rem}}.accordion .accordion-icon:not(:empty){margin-right:.75rem;display:flex}.accordion .accordion-button:not(.collapsed){box-shadow:none}.accordion 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0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #02b875;--bs-btn-disabled-border-color: #02b875}.btn-info{--bs-btn-color: #fff;--bs-btn-bg: #17a2b8;--bs-btn-border-color: #17a2b8;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #148a9c;--bs-btn-hover-border-color: #128293;--bs-btn-focus-shadow-rgb: 58, 176, 195;--bs-btn-active-color: #fff;--bs-btn-active-bg: #128293;--bs-btn-active-border-color: #117a8a;--bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #17a2b8;--bs-btn-disabled-border-color: #17a2b8}.btn-warning{--bs-btn-color: #fff;--bs-btn-bg: #FB9E07;--bs-btn-border-color: #FB9E07;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #d58606;--bs-btn-hover-border-color: #c97e06;--bs-btn-focus-shadow-rgb: 252, 173, 44;--bs-btn-active-color: #fff;--bs-btn-active-bg: #c97e06;--bs-btn-active-border-color: #bc7705;--bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: 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var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238e73c4'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238e73c4'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(52, 58, 64, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(52, 58, 64, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1.25rem;--bs-pagination-color: #CF4446;--bs-pagination-bg: #fff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #FB9E07;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #FB9E07;--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(66, 21, 157, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #42159D;--bs-pagination-active-border-color: #42159D;--bs-pagination-disabled-color: rgba(52, 58, 64, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:calc(1.28125rem + 0.375vw);--bs-pagination-border-radius: 0.5rem}@media(min-width: 1200px){.pagination-lg{--bs-pagination-font-size:1.5625rem}}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:1.09375rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 1.2em;--bs-badge-padding-y: 0.6em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 400;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 0 solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.9375rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #42159D;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #343a40;--bs-list-group-bg: #fff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(52, 58, 64, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #343a40;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(52, 58, 64, 0.75);--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #42159D;--bs-list-group-active-border-color: #42159D;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(66, 21, 157, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(255, 255, 255, 0.85);--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(52, 58, 64, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: #fff;--bs-modal-border-color: rgba(0, 0, 0, 0.175);--bs-modal-border-width: 1px;--bs-modal-border-radius: 0.5rem;--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);--bs-modal-inner-border-radius: calc(0.5rem - 1px);--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: #dee2e6;--bs-modal-header-border-width: 1px;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: #dee2e6;--bs-modal-footer-border-width: 1px;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin)*2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin)*2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: 0.5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y)*.5) calc(var(--bs-modal-header-padding-x)*.5);margin:calc(-0.5*var(--bs-modal-header-padding-y)) calc(-0.5*var(--bs-modal-header-padding-x)) calc(-0.5*var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap)*.5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap)*.5)}@media(min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media(min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media(min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media(max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media(max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media(max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media(max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media(max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: 0.5rem;--bs-tooltip-padding-y: 0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.6875rem;--bs-tooltip-color: #fff;--bs-tooltip-bg: #000;--bs-tooltip-border-radius: 0.25rem;--bs-tooltip-opacity: 0.9;--bs-tooltip-arrow-width: 0.8rem;--bs-tooltip-arrow-height: 0.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:Fira Sans 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var(--bg-gradient-start, 36%), #02b875 var(--bg-gradient-end, 180%)) #0fab9d;color:#fff}.bg-gradient-cyan-teal{--bslib-color-fg: #fff;--bslib-color-bg: #1bb2ab;background:linear-gradient(var(--bg-gradient-deg, 140deg), #17a2b8 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1bb2ab;color:#fff}:root{--bslib-value-box-shadow: none;--bslib-value-box-border-width-auto-yes: var(--bslib-value-box-border-width-baseline);--bslib-value-box-border-width-auto-no: 0;--bslib-value-box-border-width-baseline: 1px}.bslib-value-box{border-width:var(--bslib-value-box-border-width-auto-no, var(--bslib-value-box-border-width-baseline));container-name:bslib-value-box;container-type:inline-size}.bslib-value-box.card{box-shadow:var(--bslib-value-box-shadow)}.bslib-value-box.border-auto{border-width:var(--bslib-value-box-border-width-auto-yes, var(--bslib-value-box-border-width-baseline))}.bslib-value-box.default{--bslib-value-box-bg-default: var(--bs-card-bg, #fff);--bslib-value-box-border-color-default: var(--bs-card-border-color, rgba(0, 0, 0, 0.175));color:var(--bslib-value-box-color);background-color:var(--bslib-value-box-bg, var(--bslib-value-box-bg-default));border-color:var(--bslib-value-box-border-color, var(--bslib-value-box-border-color-default))}.bslib-value-box .value-box-grid{display:grid;grid-template-areas:"left right";align-items:center;overflow:hidden}.bslib-value-box .value-box-showcase{height:100%;max-height:var(---bslib-value-box-showcase-max-h, 100%)}.bslib-value-box .value-box-showcase,.bslib-value-box .value-box-showcase>.html-fill-item{width:100%}.bslib-value-box[data-full-screen=true] .value-box-showcase{max-height:var(---bslib-value-box-showcase-max-h-fs, 100%)}@media screen and (min-width: 575.98px){@container bslib-value-box (max-width: 300px){.bslib-value-box:not(.showcase-bottom) .value-box-grid{grid-template-columns:1fr !important;grid-template-rows:auto auto;grid-template-areas:"top" 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.accordion-header{font-size:2.3125rem}}.accordion .accordion-icon:not(:empty){margin-right:.75rem;display:flex}.accordion .accordion-button:not(.collapsed){box-shadow:none}.accordion 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H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
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")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t 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e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return 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animation-timing-function: var(--fa-animation-timing, ease-in-out); } + +.fa-shake { + -webkit-animation-name: fa-shake; + animation-name: fa-shake; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 2s); + animation-duration: var(--fa-animation-duration, 2s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin-reverse { + --fa-animation-direction: reverse; } + +.fa-pulse, +.fa-spin-pulse { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); + animation-timing-function: var(--fa-animation-timing, steps(8)); } + +@media (prefers-reduced-motion: reduce) { + .fa-beat, + .fa-bounce, + .fa-fade, + .fa-beat-fade, + .fa-flip, + .fa-pulse, + .fa-shake, + .fa-spin, + .fa-spin-pulse { + -webkit-animation-delay: -1ms; + animation-delay: -1ms; + -webkit-animation-duration: 1ms; + animation-duration: 1ms; + -webkit-animation-iteration-count: 1; + animation-iteration-count: 1; + transition-delay: 0s; + transition-duration: 0s; } } + +@-webkit-keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@-webkit-keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@-webkit-keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@-webkit-keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@-webkit-keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@-webkit-keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@-webkit-keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +@keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +.fa-rotate-90 { + -webkit-transform: rotate(90deg); + transform: rotate(90deg); } + +.fa-rotate-180 { + -webkit-transform: rotate(180deg); + transform: rotate(180deg); } + +.fa-rotate-270 { + -webkit-transform: rotate(270deg); + transform: rotate(270deg); } + +.fa-flip-horizontal { + -webkit-transform: scale(-1, 1); + transform: scale(-1, 1); } + +.fa-flip-vertical { + -webkit-transform: scale(1, -1); + transform: scale(1, -1); } + +.fa-flip-both, +.fa-flip-horizontal.fa-flip-vertical { + -webkit-transform: scale(-1, -1); + transform: scale(-1, -1); } + +.fa-rotate-by { + -webkit-transform: rotate(var(--fa-rotate-angle, none)); + transform: rotate(var(--fa-rotate-angle, none)); } + +.fa-stack { + display: inline-block; + height: 2em; + line-height: 2em; + position: relative; + vertical-align: middle; + width: 2.5em; } + +.fa-stack-1x, +.fa-stack-2x { + left: 0; + position: absolute; + text-align: center; + width: 100%; + z-index: var(--fa-stack-z-index, auto); } + +.fa-stack-1x { + line-height: inherit; } + +.fa-stack-2x { + font-size: 2em; } + +.fa-inverse { + color: var(--fa-inverse, #fff); } + +/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen +readers do not read off random characters that represent icons */ +.fa-0::before { + content: "\30"; } + +.fa-1::before { + content: "\31"; } + +.fa-2::before { + content: "\32"; } + +.fa-3::before { + content: "\33"; } + +.fa-4::before { + content: "\34"; } + +.fa-5::before { + content: "\35"; } + +.fa-6::before { + content: "\36"; } + +.fa-7::before { + content: "\37"; } + +.fa-8::before { + content: "\38"; } + +.fa-9::before { + content: "\39"; } + +.fa-a::before { + content: "\41"; } + +.fa-address-book::before { + content: "\f2b9"; } + +.fa-contact-book::before { + content: "\f2b9"; } + +.fa-address-card::before { + content: "\f2bb"; } + +.fa-contact-card::before { + content: "\f2bb"; } + +.fa-vcard::before { + content: "\f2bb"; } + +.fa-align-center::before { + content: "\f037"; } + +.fa-align-justify::before { + content: "\f039"; } + +.fa-align-left::before { + content: "\f036"; } + +.fa-align-right::before { + content: "\f038"; } + +.fa-anchor::before { + content: "\f13d"; } + +.fa-anchor-circle-check::before { + content: "\e4aa"; } + +.fa-anchor-circle-exclamation::before { + content: "\e4ab"; } + +.fa-anchor-circle-xmark::before { + content: "\e4ac"; } + +.fa-anchor-lock::before { + content: "\e4ad"; } + +.fa-angle-down::before { + content: "\f107"; } + +.fa-angle-left::before { + content: "\f104"; } + +.fa-angle-right::before { + content: "\f105"; } + +.fa-angle-up::before { + content: "\f106"; } + +.fa-angles-down::before { + content: "\f103"; } + +.fa-angle-double-down::before { + content: "\f103"; } + +.fa-angles-left::before { + content: "\f100"; } + +.fa-angle-double-left::before { + content: "\f100"; } + +.fa-angles-right::before { + content: "\f101"; } + +.fa-angle-double-right::before { + content: "\f101"; } + +.fa-angles-up::before { + content: "\f102"; } + +.fa-angle-double-up::before { + content: "\f102"; } + +.fa-ankh::before { + content: "\f644"; } + +.fa-apple-whole::before { + content: "\f5d1"; } + +.fa-apple-alt::before { + content: "\f5d1"; } + +.fa-archway::before { + content: "\f557"; } + +.fa-arrow-down::before { + content: "\f063"; } + +.fa-arrow-down-1-9::before { + content: "\f162"; } + +.fa-sort-numeric-asc::before { + content: "\f162"; } + +.fa-sort-numeric-down::before { + content: "\f162"; } + +.fa-arrow-down-9-1::before { + content: "\f886"; } + +.fa-sort-numeric-desc::before { + content: "\f886"; } + +.fa-sort-numeric-down-alt::before { + content: "\f886"; } + +.fa-arrow-down-a-z::before { + content: "\f15d"; } + +.fa-sort-alpha-asc::before { + content: "\f15d"; } + +.fa-sort-alpha-down::before { + content: "\f15d"; } + +.fa-arrow-down-long::before { + content: "\f175"; } + +.fa-long-arrow-down::before { + content: "\f175"; } + +.fa-arrow-down-short-wide::before { + content: "\f884"; } + +.fa-sort-amount-desc::before { + content: "\f884"; } + +.fa-sort-amount-down-alt::before { + content: "\f884"; } + +.fa-arrow-down-up-across-line::before { + content: "\e4af"; } + +.fa-arrow-down-up-lock::before { + content: "\e4b0"; } + +.fa-arrow-down-wide-short::before { + content: "\f160"; } + +.fa-sort-amount-asc::before { + content: "\f160"; } + +.fa-sort-amount-down::before { + content: "\f160"; } + +.fa-arrow-down-z-a::before { + content: "\f881"; } + +.fa-sort-alpha-desc::before { + content: "\f881"; } + +.fa-sort-alpha-down-alt::before { + content: "\f881"; } + +.fa-arrow-left::before { + content: "\f060"; } + +.fa-arrow-left-long::before { + content: "\f177"; } + +.fa-long-arrow-left::before { + content: "\f177"; } + +.fa-arrow-pointer::before { + content: "\f245"; } + +.fa-mouse-pointer::before { + content: "\f245"; } + +.fa-arrow-right::before { + content: "\f061"; } + +.fa-arrow-right-arrow-left::before { + content: "\f0ec"; } + +.fa-exchange::before { + content: "\f0ec"; } + +.fa-arrow-right-from-bracket::before { + content: "\f08b"; } + +.fa-sign-out::before { + content: "\f08b"; } + +.fa-arrow-right-long::before { + content: "\f178"; } + +.fa-long-arrow-right::before { + content: "\f178"; } + +.fa-arrow-right-to-bracket::before { + content: "\f090"; } + +.fa-sign-in::before { + content: "\f090"; } + +.fa-arrow-right-to-city::before { + content: "\e4b3"; } + +.fa-arrow-rotate-left::before { + content: "\f0e2"; } + +.fa-arrow-left-rotate::before { + content: "\f0e2"; } + +.fa-arrow-rotate-back::before { + content: "\f0e2"; } + +.fa-arrow-rotate-backward::before { + content: "\f0e2"; } + +.fa-undo::before { + content: "\f0e2"; } + +.fa-arrow-rotate-right::before { + content: "\f01e"; } + +.fa-arrow-right-rotate::before { + content: "\f01e"; } + +.fa-arrow-rotate-forward::before { + content: "\f01e"; } + +.fa-redo::before { + content: "\f01e"; } + +.fa-arrow-trend-down::before { + content: "\e097"; } + +.fa-arrow-trend-up::before { + content: "\e098"; } + +.fa-arrow-turn-down::before { + content: "\f149"; } + +.fa-level-down::before { + content: "\f149"; } + +.fa-arrow-turn-up::before { + content: "\f148"; } + +.fa-level-up::before { + content: "\f148"; } + +.fa-arrow-up::before { + content: "\f062"; } + +.fa-arrow-up-1-9::before { + content: "\f163"; } + +.fa-sort-numeric-up::before { + content: "\f163"; } + +.fa-arrow-up-9-1::before { + content: "\f887"; } + +.fa-sort-numeric-up-alt::before { + content: "\f887"; } + +.fa-arrow-up-a-z::before { + content: "\f15e"; } + +.fa-sort-alpha-up::before { + content: "\f15e"; } + +.fa-arrow-up-from-bracket::before { + content: "\e09a"; } + +.fa-arrow-up-from-ground-water::before { + content: "\e4b5"; } + +.fa-arrow-up-from-water-pump::before { + content: "\e4b6"; } + +.fa-arrow-up-long::before { + content: "\f176"; } + +.fa-long-arrow-up::before { + content: "\f176"; } + +.fa-arrow-up-right-dots::before { + content: "\e4b7"; } + +.fa-arrow-up-right-from-square::before { + content: "\f08e"; } + +.fa-external-link::before { + content: "\f08e"; } + +.fa-arrow-up-short-wide::before { + content: "\f885"; } + +.fa-sort-amount-up-alt::before { + content: "\f885"; } + +.fa-arrow-up-wide-short::before { + content: "\f161"; } + +.fa-sort-amount-up::before { + content: "\f161"; } + +.fa-arrow-up-z-a::before { + content: "\f882"; } + +.fa-sort-alpha-up-alt::before { + content: "\f882"; } + +.fa-arrows-down-to-line::before { + content: "\e4b8"; } + +.fa-arrows-down-to-people::before { + content: "\e4b9"; } + +.fa-arrows-left-right::before { + content: "\f07e"; } + +.fa-arrows-h::before { + content: "\f07e"; } + +.fa-arrows-left-right-to-line::before { + content: "\e4ba"; } + +.fa-arrows-rotate::before { + content: "\f021"; } + +.fa-refresh::before { + content: "\f021"; } + +.fa-sync::before { + content: "\f021"; } + +.fa-arrows-spin::before { + content: "\e4bb"; } + +.fa-arrows-split-up-and-left::before { + content: "\e4bc"; } + +.fa-arrows-to-circle::before { + content: "\e4bd"; } + +.fa-arrows-to-dot::before { + content: "\e4be"; } + +.fa-arrows-to-eye::before { + content: "\e4bf"; } + +.fa-arrows-turn-right::before { + content: "\e4c0"; } + +.fa-arrows-turn-to-dots::before { + content: "\e4c1"; } + +.fa-arrows-up-down::before { + content: "\f07d"; } + +.fa-arrows-v::before { + content: "\f07d"; } + +.fa-arrows-up-down-left-right::before { + content: "\f047"; } + +.fa-arrows::before { + content: "\f047"; } + +.fa-arrows-up-to-line::before { + content: "\e4c2"; } + +.fa-asterisk::before { + content: "\2a"; } + +.fa-at::before { + content: "\40"; } + +.fa-atom::before { + content: "\f5d2"; } + +.fa-audio-description::before { + content: "\f29e"; } + +.fa-austral-sign::before { + content: "\e0a9"; } + +.fa-award::before { + content: "\f559"; } + +.fa-b::before { + content: "\42"; } + +.fa-baby::before { + content: "\f77c"; } + +.fa-baby-carriage::before { + content: "\f77d"; } + +.fa-carriage-baby::before { + content: "\f77d"; } + +.fa-backward::before { + content: "\f04a"; } + +.fa-backward-fast::before { + content: "\f049"; } + +.fa-fast-backward::before { + content: "\f049"; } + +.fa-backward-step::before { + content: "\f048"; } + +.fa-step-backward::before { + content: "\f048"; } + +.fa-bacon::before { + content: "\f7e5"; } + +.fa-bacteria::before { + content: "\e059"; } + +.fa-bacterium::before { + content: "\e05a"; } + +.fa-bag-shopping::before { + content: "\f290"; } + +.fa-shopping-bag::before { + content: "\f290"; } + +.fa-bahai::before { + content: "\f666"; } + +.fa-baht-sign::before { + content: "\e0ac"; } + +.fa-ban::before { + content: "\f05e"; } + +.fa-cancel::before { + content: "\f05e"; } + +.fa-ban-smoking::before { + content: "\f54d"; } + +.fa-smoking-ban::before { + content: "\f54d"; } + +.fa-bandage::before { + content: "\f462"; } + +.fa-band-aid::before { + content: "\f462"; } + +.fa-barcode::before { + content: "\f02a"; } + +.fa-bars::before { + content: "\f0c9"; } + +.fa-navicon::before { + content: "\f0c9"; } + +.fa-bars-progress::before { + content: "\f828"; } + +.fa-tasks-alt::before { + content: "\f828"; } + +.fa-bars-staggered::before { + content: "\f550"; } + +.fa-reorder::before { + content: "\f550"; } + +.fa-stream::before { + content: "\f550"; } + +.fa-baseball::before { + content: "\f433"; } + +.fa-baseball-ball::before { + content: "\f433"; } + +.fa-baseball-bat-ball::before { + content: "\f432"; } + +.fa-basket-shopping::before { + content: "\f291"; } + +.fa-shopping-basket::before { + content: "\f291"; } + +.fa-basketball::before { + content: "\f434"; } + +.fa-basketball-ball::before { + content: "\f434"; } + +.fa-bath::before { + content: "\f2cd"; } + +.fa-bathtub::before { + content: "\f2cd"; } + +.fa-battery-empty::before { + content: "\f244"; } + +.fa-battery-0::before { + content: "\f244"; } + +.fa-battery-full::before { + content: "\f240"; } + +.fa-battery::before { + content: "\f240"; } + +.fa-battery-5::before { + content: "\f240"; } + +.fa-battery-half::before { + content: "\f242"; } + +.fa-battery-3::before { + content: "\f242"; } + +.fa-battery-quarter::before { + content: "\f243"; } + +.fa-battery-2::before { + content: "\f243"; } + +.fa-battery-three-quarters::before { + content: "\f241"; } + +.fa-battery-4::before { + content: "\f241"; } + +.fa-bed::before { + content: "\f236"; } + +.fa-bed-pulse::before { + content: "\f487"; } + +.fa-procedures::before { + content: "\f487"; } + +.fa-beer-mug-empty::before { + content: "\f0fc"; } + +.fa-beer::before { + content: "\f0fc"; } + +.fa-bell::before { + content: "\f0f3"; } + +.fa-bell-concierge::before { + content: "\f562"; } + +.fa-concierge-bell::before { + content: "\f562"; } + +.fa-bell-slash::before { + content: "\f1f6"; } + +.fa-bezier-curve::before { + content: "\f55b"; } + +.fa-bicycle::before { + content: "\f206"; } + +.fa-binoculars::before { + content: "\f1e5"; } + +.fa-biohazard::before { + content: "\f780"; } + +.fa-bitcoin-sign::before { + content: "\e0b4"; } + +.fa-blender::before { + content: "\f517"; } + +.fa-blender-phone::before { + content: "\f6b6"; } + +.fa-blog::before { + content: "\f781"; } + +.fa-bold::before { + content: "\f032"; } + +.fa-bolt::before { + content: "\f0e7"; } + +.fa-zap::before { + content: "\f0e7"; } + +.fa-bolt-lightning::before { + content: "\e0b7"; } + +.fa-bomb::before { + content: "\f1e2"; } + +.fa-bone::before { + content: "\f5d7"; } + +.fa-bong::before { + content: "\f55c"; } + +.fa-book::before { + content: "\f02d"; } + +.fa-book-atlas::before { + content: "\f558"; } + +.fa-atlas::before { + content: "\f558"; } + +.fa-book-bible::before { + content: "\f647"; } + +.fa-bible::before { + content: "\f647"; } + +.fa-book-bookmark::before { + content: "\e0bb"; } + +.fa-book-journal-whills::before { + content: "\f66a"; } + +.fa-journal-whills::before { + content: "\f66a"; } + +.fa-book-medical::before { + content: "\f7e6"; } + +.fa-book-open::before { + content: "\f518"; } + +.fa-book-open-reader::before { + content: "\f5da"; } + +.fa-book-reader::before { + content: "\f5da"; } + +.fa-book-quran::before { + content: "\f687"; } + +.fa-quran::before { + content: "\f687"; } + +.fa-book-skull::before { + content: "\f6b7"; } + +.fa-book-dead::before { + content: 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content: "\e4db"; } + +.fa-bullhorn::before { + content: "\f0a1"; } + +.fa-bullseye::before { + content: "\f140"; } + +.fa-burger::before { + content: "\f805"; } + +.fa-hamburger::before { + content: "\f805"; } + +.fa-burst::before { + content: "\e4dc"; } + +.fa-bus::before { + content: "\f207"; } + +.fa-bus-simple::before { + content: "\f55e"; } + +.fa-bus-alt::before { + content: "\f55e"; } + +.fa-business-time::before { + content: "\f64a"; } + +.fa-briefcase-clock::before { + content: "\f64a"; } + +.fa-c::before { + content: "\43"; } + +.fa-cake-candles::before { + content: "\f1fd"; } + +.fa-birthday-cake::before { + content: "\f1fd"; } + +.fa-cake::before { + content: "\f1fd"; } + +.fa-calculator::before { + content: "\f1ec"; } + +.fa-calendar::before { + content: "\f133"; } + +.fa-calendar-check::before { + content: "\f274"; } + +.fa-calendar-day::before { + content: "\f783"; } + +.fa-calendar-days::before { + content: "\f073"; } + +.fa-calendar-alt::before { + content: "\f073"; } 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content: "\f6be"; } + +.fa-cedi-sign::before { + content: "\e0df"; } + +.fa-cent-sign::before { + content: "\e3f5"; } + +.fa-certificate::before { + content: "\f0a3"; } + +.fa-chair::before { + content: "\f6c0"; } + +.fa-chalkboard::before { + content: "\f51b"; } + +.fa-blackboard::before { + content: "\f51b"; } + +.fa-chalkboard-user::before { + content: "\f51c"; } + +.fa-chalkboard-teacher::before { + content: "\f51c"; } + +.fa-champagne-glasses::before { + content: "\f79f"; } + +.fa-glass-cheers::before { + content: "\f79f"; } + +.fa-charging-station::before { + content: "\f5e7"; } + +.fa-chart-area::before { + content: "\f1fe"; } + +.fa-area-chart::before { + content: "\f1fe"; } + +.fa-chart-bar::before { + content: "\f080"; } + +.fa-bar-chart::before { + content: "\f080"; } + +.fa-chart-column::before { + content: "\e0e3"; } + +.fa-chart-gantt::before { + content: "\e0e4"; } + +.fa-chart-line::before { + content: "\f201"; } + +.fa-line-chart::before { + content: "\f201"; } + 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content: "\f13a"; } + +.fa-circle-chevron-left::before { + content: "\f137"; } + +.fa-chevron-circle-left::before { + content: "\f137"; } + +.fa-circle-chevron-right::before { + content: "\f138"; } + +.fa-chevron-circle-right::before { + content: "\f138"; } + +.fa-circle-chevron-up::before { + content: "\f139"; } + +.fa-chevron-circle-up::before { + content: "\f139"; } + +.fa-circle-dollar-to-slot::before { + content: "\f4b9"; } + +.fa-donate::before { + content: "\f4b9"; } + +.fa-circle-dot::before { + content: "\f192"; } + +.fa-dot-circle::before { + content: "\f192"; } + +.fa-circle-down::before { + content: "\f358"; } + +.fa-arrow-alt-circle-down::before { + content: "\f358"; } + +.fa-circle-exclamation::before { + content: "\f06a"; } + +.fa-exclamation-circle::before { + content: "\f06a"; } + +.fa-circle-h::before { + content: "\f47e"; } + +.fa-hospital-symbol::before { + content: "\f47e"; } + +.fa-circle-half-stroke::before { + content: "\f042"; } + +.fa-adjust::before { + content: "\f042"; } + +.fa-circle-info::before { + content: "\f05a"; } + +.fa-info-circle::before { + content: "\f05a"; } + +.fa-circle-left::before { + content: "\f359"; } + +.fa-arrow-alt-circle-left::before { + content: "\f359"; } + +.fa-circle-minus::before { + content: "\f056"; } + +.fa-minus-circle::before { + content: "\f056"; } + +.fa-circle-nodes::before { + content: "\e4e2"; } + +.fa-circle-notch::before { + content: "\f1ce"; } + +.fa-circle-pause::before { + content: "\f28b"; } + +.fa-pause-circle::before { + content: "\f28b"; } + +.fa-circle-play::before { + content: "\f144"; } + +.fa-play-circle::before { + content: "\f144"; } + +.fa-circle-plus::before { + content: "\f055"; } + +.fa-plus-circle::before { + content: "\f055"; } + +.fa-circle-question::before { + content: "\f059"; } + +.fa-question-circle::before { + content: "\f059"; } + +.fa-circle-radiation::before { + content: "\f7ba"; } + +.fa-radiation-alt::before { + content: "\f7ba"; } + +.fa-circle-right::before { + content: "\f35a"; } + +.fa-arrow-alt-circle-right::before { + content: "\f35a"; } + +.fa-circle-stop::before { + content: "\f28d"; } + +.fa-stop-circle::before { + content: "\f28d"; } + +.fa-circle-up::before { + content: "\f35b"; } + +.fa-arrow-alt-circle-up::before { + content: "\f35b"; } + +.fa-circle-user::before { + content: "\f2bd"; } + +.fa-user-circle::before { + content: "\f2bd"; } + +.fa-circle-xmark::before { + content: "\f057"; } + +.fa-times-circle::before { + content: "\f057"; } + +.fa-xmark-circle::before { + content: "\f057"; } + +.fa-city::before { + content: "\f64f"; } + +.fa-clapperboard::before { + content: "\e131"; } + +.fa-clipboard::before { + content: "\f328"; } + +.fa-clipboard-check::before { + content: "\f46c"; } + +.fa-clipboard-list::before { + content: "\f46d"; } + +.fa-clipboard-question::before { + content: "\e4e3"; } + +.fa-clipboard-user::before { + content: "\f7f3"; } + +.fa-clock::before { + content: "\f017"; } + +.fa-clock-four::before { + content: 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content: "\e4e4"; } + +.fa-cloud-sun::before { + content: "\f6c4"; } + +.fa-cloud-sun-rain::before { + content: "\f743"; } + +.fa-clover::before { + content: "\e139"; } + +.fa-code::before { + content: "\f121"; } + +.fa-code-branch::before { + content: "\f126"; } + +.fa-code-commit::before { + content: "\f386"; } + +.fa-code-compare::before { + content: "\e13a"; } + +.fa-code-fork::before { + content: "\e13b"; } + +.fa-code-merge::before { + content: "\f387"; } + +.fa-code-pull-request::before { + content: "\e13c"; } + +.fa-coins::before { + content: "\f51e"; } + +.fa-colon-sign::before { + content: "\e140"; } + +.fa-comment::before { + content: "\f075"; } + +.fa-comment-dollar::before { + content: "\f651"; } + +.fa-comment-dots::before { + content: "\f4ad"; } + +.fa-commenting::before { + content: "\f4ad"; } + +.fa-comment-medical::before { + content: "\f7f5"; } + +.fa-comment-slash::before { + content: "\f4b3"; } + +.fa-comment-sms::before { + content: "\f7cd"; } + +.fa-sms::before { 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"\f565"; } + +.fa-crop-alt::before { + content: "\f565"; } + +.fa-cross::before { + content: "\f654"; } + +.fa-crosshairs::before { + content: "\f05b"; } + +.fa-crow::before { + content: "\f520"; } + +.fa-crown::before { + content: "\f521"; } + +.fa-crutch::before { + content: "\f7f7"; } + +.fa-cruzeiro-sign::before { + content: "\e152"; } + +.fa-cube::before { + content: "\f1b2"; } + +.fa-cubes::before { + content: "\f1b3"; } + +.fa-cubes-stacked::before { + content: "\e4e6"; } + +.fa-d::before { + content: "\44"; } + +.fa-database::before { + content: "\f1c0"; } + +.fa-delete-left::before { + content: "\f55a"; } + +.fa-backspace::before { + content: "\f55a"; } + +.fa-democrat::before { + content: "\f747"; } + +.fa-desktop::before { + content: "\f390"; } + +.fa-desktop-alt::before { + content: "\f390"; } + +.fa-dharmachakra::before { + content: "\f655"; } + +.fa-diagram-next::before { + content: "\e476"; } + +.fa-diagram-predecessor::before { + content: "\e477"; } + 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"\f57d"; } + +.fa-earth-asia::before { + content: "\f57e"; } + +.fa-globe-asia::before { + content: "\f57e"; } + +.fa-earth-europe::before { + content: "\f7a2"; } + +.fa-globe-europe::before { + content: "\f7a2"; } + +.fa-earth-oceania::before { + content: "\e47b"; } + +.fa-globe-oceania::before { + content: "\e47b"; } + +.fa-egg::before { + content: "\f7fb"; } + +.fa-eject::before { + content: "\f052"; } + +.fa-elevator::before { + content: "\e16d"; } + +.fa-ellipsis::before { + content: "\f141"; } + +.fa-ellipsis-h::before { + content: "\f141"; } + +.fa-ellipsis-vertical::before { + content: "\f142"; } + +.fa-ellipsis-v::before { + content: "\f142"; } + +.fa-envelope::before { + content: "\f0e0"; } + +.fa-envelope-circle-check::before { + content: "\e4e8"; } + +.fa-envelope-open::before { + content: "\f2b6"; } + +.fa-envelope-open-text::before { + content: "\f658"; } + +.fa-envelopes-bulk::before { + content: "\f674"; } + +.fa-mail-bulk::before { + content: "\f674"; } + 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"\f597"; } + +.fa-face-kiss-wink-heart::before { + content: "\f598"; } + +.fa-kiss-wink-heart::before { + content: "\f598"; } + +.fa-face-laugh::before { + content: "\f599"; } + +.fa-laugh::before { + content: "\f599"; } + +.fa-face-laugh-beam::before { + content: "\f59a"; } + +.fa-laugh-beam::before { + content: "\f59a"; } + +.fa-face-laugh-squint::before { + content: "\f59b"; } + +.fa-laugh-squint::before { + content: "\f59b"; } + +.fa-face-laugh-wink::before { + content: "\f59c"; } + +.fa-laugh-wink::before { + content: "\f59c"; } + +.fa-face-meh::before { + content: "\f11a"; } + +.fa-meh::before { + content: "\f11a"; } + +.fa-face-meh-blank::before { + content: "\f5a4"; } + +.fa-meh-blank::before { + content: "\f5a4"; } + +.fa-face-rolling-eyes::before { + content: "\f5a5"; } + +.fa-meh-rolling-eyes::before { + content: "\f5a5"; } + +.fa-face-sad-cry::before { + content: "\f5b3"; } + +.fa-sad-cry::before { + content: "\f5b3"; } + +.fa-face-sad-tear::before { + content: "\f5b4"; } + 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+ content: "\f56f"; } + +.fa-arrow-right-to-file::before { + content: "\f56f"; } + +.fa-file-invoice::before { + content: "\f570"; } + +.fa-file-invoice-dollar::before { + content: "\f571"; } + +.fa-file-lines::before { + content: "\f15c"; } + +.fa-file-alt::before { + content: "\f15c"; } + +.fa-file-text::before { + content: "\f15c"; } + +.fa-file-medical::before { + content: "\f477"; } + +.fa-file-pdf::before { + content: "\f1c1"; } + +.fa-file-pen::before { + content: "\f31c"; } + +.fa-file-edit::before { + content: "\f31c"; } + +.fa-file-powerpoint::before { + content: "\f1c4"; } + +.fa-file-prescription::before { + content: "\f572"; } + +.fa-file-shield::before { + content: "\e4f0"; } + +.fa-file-signature::before { + content: "\f573"; } + +.fa-file-video::before { + content: "\f1c8"; } + +.fa-file-waveform::before { + content: "\f478"; } + +.fa-file-medical-alt::before { + content: "\f478"; } + +.fa-file-word::before { + content: "\f1c2"; } + +.fa-file-zipper::before { + content: "\f1c6"; } + +.fa-file-archive::before { + content: "\f1c6"; } + +.fa-fill::before { + content: "\f575"; } + +.fa-fill-drip::before { + content: "\f576"; } + +.fa-film::before { + content: "\f008"; } + +.fa-filter::before { + content: "\f0b0"; } + +.fa-filter-circle-dollar::before { + content: "\f662"; } + +.fa-funnel-dollar::before { + content: "\f662"; } + +.fa-filter-circle-xmark::before { + content: "\e17b"; } + +.fa-fingerprint::before { + content: "\f577"; } + +.fa-fire::before { + content: "\f06d"; } + +.fa-fire-burner::before { + content: "\e4f1"; } + +.fa-fire-extinguisher::before { + content: "\f134"; } + +.fa-fire-flame-curved::before { + content: "\f7e4"; } + +.fa-fire-alt::before { + content: "\f7e4"; } + +.fa-fire-flame-simple::before { + content: "\f46a"; } + +.fa-burn::before { + content: "\f46a"; } + +.fa-fish::before { + content: "\f578"; } + +.fa-fish-fins::before { + content: "\e4f2"; } + +.fa-flag::before { + content: "\f024"; } + +.fa-flag-checkered::before { + content: "\f11e"; } + +.fa-flag-usa::before { + content: "\f74d"; } + +.fa-flask::before { + content: "\f0c3"; } + +.fa-flask-vial::before { + content: "\e4f3"; } + +.fa-floppy-disk::before { + content: "\f0c7"; } + +.fa-save::before { + content: "\f0c7"; } + +.fa-florin-sign::before { + content: "\e184"; } + +.fa-folder::before { + content: "\f07b"; } + +.fa-folder-blank::before { + content: "\f07b"; } + +.fa-folder-closed::before { + content: "\e185"; } + +.fa-folder-minus::before { + content: "\f65d"; } + +.fa-folder-open::before { + content: "\f07c"; } + +.fa-folder-plus::before { + content: "\f65e"; } + +.fa-folder-tree::before { + content: "\f802"; } + +.fa-font::before { + content: "\f031"; } + +.fa-football::before { + content: "\f44e"; } + +.fa-football-ball::before { + content: "\f44e"; } + +.fa-forward::before { + content: "\f04e"; } + +.fa-forward-fast::before { + content: "\f050"; } + +.fa-fast-forward::before { + content: "\f050"; } + +.fa-forward-step::before { + content: "\f051"; } + +.fa-step-forward::before { + content: "\f051"; } + +.fa-franc-sign::before { + content: "\e18f"; } + +.fa-frog::before { + content: "\f52e"; } + +.fa-futbol::before { + content: "\f1e3"; } + +.fa-futbol-ball::before { + content: "\f1e3"; } + +.fa-soccer-ball::before { + content: "\f1e3"; } + +.fa-g::before { + content: "\47"; } + +.fa-gamepad::before { + content: "\f11b"; } + +.fa-gas-pump::before { + content: "\f52f"; } + +.fa-gauge::before { + content: "\f624"; } + +.fa-dashboard::before { + content: "\f624"; } + +.fa-gauge-med::before { + content: "\f624"; } + +.fa-tachometer-alt-average::before { + content: "\f624"; } + +.fa-gauge-high::before { + content: "\f625"; } + +.fa-tachometer-alt::before { + content: "\f625"; } + +.fa-tachometer-alt-fast::before { + content: "\f625"; } + +.fa-gauge-simple::before { + content: "\f629"; } + +.fa-gauge-simple-med::before { + content: "\f629"; } + +.fa-tachometer-average::before { + content: "\f629"; } + 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"\f664"; } + +.fa-graduation-cap::before { + content: "\f19d"; } + +.fa-mortar-board::before { + content: "\f19d"; } + +.fa-greater-than::before { + content: "\3e"; } + +.fa-greater-than-equal::before { + content: "\f532"; } + +.fa-grip::before { + content: "\f58d"; } + +.fa-grip-horizontal::before { + content: "\f58d"; } + +.fa-grip-lines::before { + content: "\f7a4"; } + +.fa-grip-lines-vertical::before { + content: "\f7a5"; } + +.fa-grip-vertical::before { + content: "\f58e"; } + +.fa-group-arrows-rotate::before { + content: "\e4f6"; } + +.fa-guarani-sign::before { + content: "\e19a"; } + +.fa-guitar::before { + content: "\f7a6"; } + +.fa-gun::before { + content: "\e19b"; } + +.fa-h::before { + content: "\48"; } + +.fa-hammer::before { + content: "\f6e3"; } + +.fa-hamsa::before { + content: "\f665"; } + +.fa-hand::before { + content: "\f256"; } + +.fa-hand-paper::before { + content: "\f256"; } + +.fa-hand-back-fist::before { + content: "\f255"; } + +.fa-hand-rock::before { + content: "\f255"; } + +.fa-hand-dots::before { + content: "\f461"; } + +.fa-allergies::before { + content: "\f461"; } + +.fa-hand-fist::before { + content: "\f6de"; } + +.fa-fist-raised::before { + content: "\f6de"; } + +.fa-hand-holding::before { + content: "\f4bd"; } + +.fa-hand-holding-dollar::before { + content: "\f4c0"; } + +.fa-hand-holding-usd::before { + content: "\f4c0"; } + +.fa-hand-holding-droplet::before { + content: "\f4c1"; } + +.fa-hand-holding-water::before { + content: "\f4c1"; } + +.fa-hand-holding-hand::before { + content: "\e4f7"; } + +.fa-hand-holding-heart::before { + content: "\f4be"; } + +.fa-hand-holding-medical::before { + content: "\e05c"; } + +.fa-hand-lizard::before { + content: "\f258"; } + +.fa-hand-middle-finger::before { + content: "\f806"; } + +.fa-hand-peace::before { + content: "\f25b"; } + +.fa-hand-point-down::before { + content: "\f0a7"; } + +.fa-hand-point-left::before { + content: "\f0a5"; } + +.fa-hand-point-right::before { + content: "\f0a4"; } + +.fa-hand-point-up::before { + content: "\f0a6"; } + +.fa-hand-pointer::before { + content: "\f25a"; } + +.fa-hand-scissors::before { + content: "\f257"; } + +.fa-hand-sparkles::before { + content: "\e05d"; } + +.fa-hand-spock::before { + content: "\f259"; } + +.fa-handcuffs::before { + content: "\e4f8"; } + +.fa-hands::before { + content: "\f2a7"; } + +.fa-sign-language::before { + content: "\f2a7"; } + +.fa-signing::before { + content: "\f2a7"; } + +.fa-hands-asl-interpreting::before { + content: "\f2a3"; } + +.fa-american-sign-language-interpreting::before { + content: "\f2a3"; } + +.fa-asl-interpreting::before { + content: "\f2a3"; } + +.fa-hands-american-sign-language-interpreting::before { + content: "\f2a3"; } + +.fa-hands-bound::before { + content: "\e4f9"; } + +.fa-hands-bubbles::before { + content: "\e05e"; } + +.fa-hands-wash::before { + content: "\e05e"; } + +.fa-hands-clapping::before { + content: "\e1a8"; } + +.fa-hands-holding::before { + content: "\f4c2"; } + +.fa-hands-holding-child::before { + content: "\e4fa"; } + +.fa-hands-holding-circle::before { + content: "\e4fb"; } + +.fa-hands-praying::before { + content: "\f684"; } + +.fa-praying-hands::before { + content: "\f684"; } + +.fa-handshake::before { + content: "\f2b5"; } + +.fa-handshake-angle::before { + content: "\f4c4"; } + +.fa-hands-helping::before { + content: "\f4c4"; } + +.fa-handshake-simple::before { + content: "\f4c6"; } + +.fa-handshake-alt::before { + content: "\f4c6"; } + +.fa-handshake-simple-slash::before { + content: "\e05f"; } + +.fa-handshake-alt-slash::before { + content: "\e05f"; } + +.fa-handshake-slash::before { + content: "\e060"; } + +.fa-hanukiah::before { + content: "\f6e6"; } + +.fa-hard-drive::before { + content: "\f0a0"; } + +.fa-hdd::before { + content: "\f0a0"; } + +.fa-hashtag::before { + content: "\23"; } + +.fa-hat-cowboy::before { + content: "\f8c0"; } + +.fa-hat-cowboy-side::before { + content: "\f8c1"; } + +.fa-hat-wizard::before { + content: "\f6e8"; } + +.fa-head-side-cough::before { + content: "\e061"; } + +.fa-head-side-cough-slash::before { + content: "\e062"; } + +.fa-head-side-mask::before { + content: "\e063"; } + +.fa-head-side-virus::before { + content: "\e064"; } + +.fa-heading::before { + content: "\f1dc"; } + +.fa-header::before { + content: "\f1dc"; } + +.fa-headphones::before { + content: "\f025"; } + +.fa-headphones-simple::before { + content: "\f58f"; } + +.fa-headphones-alt::before { + content: "\f58f"; } + +.fa-headset::before { + content: "\f590"; } + +.fa-heart::before { + content: "\f004"; } + +.fa-heart-circle-bolt::before { + content: "\e4fc"; } + +.fa-heart-circle-check::before { + content: "\e4fd"; } + +.fa-heart-circle-exclamation::before { + content: "\e4fe"; } + +.fa-heart-circle-minus::before { + content: "\e4ff"; } + +.fa-heart-circle-plus::before { + content: "\e500"; } + +.fa-heart-circle-xmark::before { + content: "\e501"; } + +.fa-heart-crack::before { + content: "\f7a9"; } + +.fa-heart-broken::before { + content: "\f7a9"; } + +.fa-heart-pulse::before { + content: "\f21e"; } + +.fa-heartbeat::before { + content: "\f21e"; } + +.fa-helicopter::before { + content: "\f533"; } + +.fa-helicopter-symbol::before { + content: "\e502"; } + +.fa-helmet-safety::before { + content: "\f807"; } + +.fa-hard-hat::before { + content: "\f807"; } + +.fa-hat-hard::before { + content: "\f807"; } + +.fa-helmet-un::before { + content: "\e503"; } + +.fa-highlighter::before { + content: "\f591"; } + +.fa-hill-avalanche::before { + content: "\e507"; } + +.fa-hill-rockslide::before { + content: "\e508"; } + +.fa-hippo::before { + content: "\f6ed"; } + +.fa-hockey-puck::before { + content: "\f453"; } + +.fa-holly-berry::before { + content: "\f7aa"; } + +.fa-horse::before { + content: "\f6f0"; } + +.fa-horse-head::before { + content: "\f7ab"; } + +.fa-hospital::before { + content: "\f0f8"; } + +.fa-hospital-alt::before { + content: "\f0f8"; } + +.fa-hospital-wide::before { + content: "\f0f8"; } + +.fa-hospital-user::before { + content: "\f80d"; } + +.fa-hot-tub-person::before { + content: "\f593"; } + +.fa-hot-tub::before { + content: "\f593"; } + +.fa-hotdog::before { + content: "\f80f"; } + +.fa-hotel::before { + content: "\f594"; } + +.fa-hourglass::before { + content: "\f254"; } + +.fa-hourglass-2::before { + content: "\f254"; } + +.fa-hourglass-half::before { + content: "\f254"; } + +.fa-hourglass-empty::before { + content: "\f252"; } + +.fa-hourglass-end::before { + content: "\f253"; } + +.fa-hourglass-3::before { + content: "\f253"; } + +.fa-hourglass-start::before { + content: "\f251"; } + +.fa-hourglass-1::before { + content: "\f251"; } + +.fa-house::before { + content: "\f015"; } + +.fa-home::before { + content: "\f015"; } + +.fa-home-alt::before { + content: "\f015"; } + +.fa-home-lg-alt::before { + content: "\f015"; } + +.fa-house-chimney::before { + content: "\e3af"; } + +.fa-home-lg::before { + content: "\e3af"; } + +.fa-house-chimney-crack::before { + content: "\f6f1"; } + +.fa-house-damage::before { + content: "\f6f1"; } + +.fa-house-chimney-medical::before { + content: "\f7f2"; } + +.fa-clinic-medical::before { + content: "\f7f2"; } + +.fa-house-chimney-user::before { + content: "\e065"; } + +.fa-house-chimney-window::before { + content: "\e00d"; } + +.fa-house-circle-check::before { + content: "\e509"; } + +.fa-house-circle-exclamation::before { + content: "\e50a"; } + +.fa-house-circle-xmark::before { + content: "\e50b"; } + +.fa-house-crack::before { + content: "\e3b1"; } + +.fa-house-fire::before { + content: "\e50c"; } + +.fa-house-flag::before { + content: "\e50d"; } + +.fa-house-flood-water::before { + content: "\e50e"; } + +.fa-house-flood-water-circle-arrow-right::before { + content: "\e50f"; } + +.fa-house-laptop::before { + content: "\e066"; } + +.fa-laptop-house::before { + content: "\e066"; } + +.fa-house-lock::before { + content: "\e510"; } + +.fa-house-medical::before { + content: "\e3b2"; } + +.fa-house-medical-circle-check::before { + content: "\e511"; } + +.fa-house-medical-circle-exclamation::before { + content: "\e512"; } + +.fa-house-medical-circle-xmark::before { + content: "\e513"; } + +.fa-house-medical-flag::before { + content: "\e514"; } + +.fa-house-signal::before { + content: "\e012"; } + +.fa-house-tsunami::before { + content: "\e515"; } + +.fa-house-user::before { + content: "\e1b0"; } + +.fa-home-user::before { + content: "\e1b0"; } + +.fa-hryvnia-sign::before { + content: "\f6f2"; } + +.fa-hryvnia::before { + content: "\f6f2"; } + +.fa-hurricane::before { + content: "\f751"; } + +.fa-i::before { + content: "\49"; } + +.fa-i-cursor::before { + content: "\f246"; } + +.fa-ice-cream::before { + content: "\f810"; } + +.fa-icicles::before { + content: "\f7ad"; } + +.fa-icons::before { + content: "\f86d"; } + +.fa-heart-music-camera-bolt::before { + content: "\f86d"; } + +.fa-id-badge::before { + content: "\f2c1"; } + +.fa-id-card::before { + content: "\f2c2"; } + +.fa-drivers-license::before { + content: "\f2c2"; } + +.fa-id-card-clip::before { + content: "\f47f"; } + +.fa-id-card-alt::before { + content: "\f47f"; } + +.fa-igloo::before { + content: "\f7ae"; } + +.fa-image::before { + content: "\f03e"; } + +.fa-image-portrait::before { + content: "\f3e0"; } + +.fa-portrait::before { + content: "\f3e0"; } + +.fa-images::before { + content: "\f302"; } + +.fa-inbox::before { + content: "\f01c"; } + +.fa-indent::before { + content: "\f03c"; } + +.fa-indian-rupee-sign::before { + content: "\e1bc"; } + +.fa-indian-rupee::before { + content: "\e1bc"; } + +.fa-inr::before { + content: "\e1bc"; } + +.fa-industry::before { + content: "\f275"; } + +.fa-infinity::before { + content: "\f534"; } + +.fa-info::before { + content: "\f129"; } + +.fa-italic::before { + content: "\f033"; } + +.fa-j::before { + content: "\4a"; } + +.fa-jar::before { + content: "\e516"; } + +.fa-jar-wheat::before { + content: "\e517"; } + +.fa-jedi::before { + content: "\f669"; } + +.fa-jet-fighter::before { + content: "\f0fb"; } + +.fa-fighter-jet::before { + content: "\f0fb"; } + +.fa-jet-fighter-up::before { + content: "\e518"; } + +.fa-joint::before { + content: "\f595"; } + +.fa-jug-detergent::before { + content: "\e519"; } + +.fa-k::before { + content: "\4b"; } + +.fa-kaaba::before { + content: "\f66b"; } + +.fa-key::before { + content: "\f084"; } + +.fa-keyboard::before { + content: "\f11c"; } + +.fa-khanda::before { + content: "\f66d"; } + +.fa-kip-sign::before { + content: "\e1c4"; } + +.fa-kit-medical::before { + content: "\f479"; } + +.fa-first-aid::before { + content: "\f479"; } + +.fa-kitchen-set::before { + content: "\e51a"; } + +.fa-kiwi-bird::before { + content: "\f535"; } + +.fa-l::before { + content: "\4c"; } + +.fa-land-mine-on::before { + content: "\e51b"; } + +.fa-landmark::before { + content: "\f66f"; } + +.fa-landmark-dome::before { + content: "\f752"; } + +.fa-landmark-alt::before { + content: "\f752"; } + +.fa-landmark-flag::before { + content: "\e51c"; } + +.fa-language::before { + content: "\f1ab"; } + +.fa-laptop::before { + content: "\f109"; } + +.fa-laptop-code::before { + content: "\f5fc"; } + +.fa-laptop-file::before { + content: "\e51d"; } + +.fa-laptop-medical::before { + content: "\f812"; } + +.fa-lari-sign::before { + content: "\e1c8"; } + +.fa-layer-group::before { + content: "\f5fd"; } + +.fa-leaf::before { + content: "\f06c"; } + +.fa-left-long::before { + content: "\f30a"; } + +.fa-long-arrow-alt-left::before { + content: "\f30a"; } + +.fa-left-right::before { + content: "\f337"; } + +.fa-arrows-alt-h::before { + content: "\f337"; } + +.fa-lemon::before { + content: "\f094"; } + +.fa-less-than::before { + content: "\3c"; } + +.fa-less-than-equal::before { + content: "\f537"; } + +.fa-life-ring::before { + content: "\f1cd"; } + +.fa-lightbulb::before { + content: "\f0eb"; } + +.fa-lines-leaning::before { + content: "\e51e"; } + +.fa-link::before { + content: "\f0c1"; } + +.fa-chain::before { + content: "\f0c1"; } + +.fa-link-slash::before { + content: "\f127"; } + +.fa-chain-broken::before { + content: "\f127"; } + +.fa-chain-slash::before { + content: "\f127"; } + +.fa-unlink::before { + content: "\f127"; } + +.fa-lira-sign::before { + content: "\f195"; } + +.fa-list::before { + content: "\f03a"; } + +.fa-list-squares::before { + content: "\f03a"; } + +.fa-list-check::before { + content: "\f0ae"; } + +.fa-tasks::before { + content: "\f0ae"; } + +.fa-list-ol::before { + content: "\f0cb"; } + +.fa-list-1-2::before { + content: "\f0cb"; } + +.fa-list-numeric::before { + content: "\f0cb"; } + +.fa-list-ul::before { + content: "\f0ca"; } + +.fa-list-dots::before { + content: "\f0ca"; } + +.fa-litecoin-sign::before { + content: "\e1d3"; } + +.fa-location-arrow::before { + content: "\f124"; } + +.fa-location-crosshairs::before { + content: "\f601"; } + +.fa-location::before { + content: "\f601"; } + +.fa-location-dot::before { + content: "\f3c5"; } + +.fa-map-marker-alt::before { + content: "\f3c5"; } + +.fa-location-pin::before { + content: "\f041"; } + +.fa-map-marker::before { + content: "\f041"; } + +.fa-location-pin-lock::before { + content: "\e51f"; } + +.fa-lock::before { + content: "\f023"; } + +.fa-lock-open::before { + content: "\f3c1"; } + +.fa-locust::before { + content: "\e520"; } + +.fa-lungs::before { + content: "\f604"; } + +.fa-lungs-virus::before { + content: "\e067"; } + +.fa-m::before { + content: "\4d"; } + +.fa-magnet::before { + content: "\f076"; } + +.fa-magnifying-glass::before { + content: "\f002"; } + +.fa-search::before { + content: "\f002"; } + +.fa-magnifying-glass-arrow-right::before { + content: "\e521"; } + +.fa-magnifying-glass-chart::before { + content: "\e522"; } + +.fa-magnifying-glass-dollar::before { + content: "\f688"; } + +.fa-search-dollar::before { + content: "\f688"; } + +.fa-magnifying-glass-location::before { + content: "\f689"; } + +.fa-search-location::before { + content: "\f689"; } + +.fa-magnifying-glass-minus::before { + content: "\f010"; } + +.fa-search-minus::before { + content: "\f010"; } + +.fa-magnifying-glass-plus::before { + content: "\f00e"; } + +.fa-search-plus::before { + content: "\f00e"; } + +.fa-manat-sign::before { + content: "\e1d5"; } + +.fa-map::before { + content: "\f279"; } + +.fa-map-location::before { + content: "\f59f"; } + +.fa-map-marked::before { + content: "\f59f"; } + +.fa-map-location-dot::before { + content: "\f5a0"; } + +.fa-map-marked-alt::before { + content: "\f5a0"; } + +.fa-map-pin::before { + content: "\f276"; } + +.fa-marker::before { + content: "\f5a1"; } + +.fa-mars::before { + content: "\f222"; } + +.fa-mars-and-venus::before { + content: "\f224"; } + +.fa-mars-and-venus-burst::before { + content: "\e523"; } + +.fa-mars-double::before { + content: "\f227"; } + +.fa-mars-stroke::before { + content: "\f229"; } + +.fa-mars-stroke-right::before { + content: "\f22b"; } + +.fa-mars-stroke-h::before { + content: "\f22b"; } + +.fa-mars-stroke-up::before { + content: "\f22a"; } + +.fa-mars-stroke-v::before { + content: "\f22a"; } + +.fa-martini-glass::before { + content: "\f57b"; } + +.fa-glass-martini-alt::before { + content: "\f57b"; } + +.fa-martini-glass-citrus::before { + content: "\f561"; } + +.fa-cocktail::before { + content: "\f561"; } + +.fa-martini-glass-empty::before { + content: "\f000"; } + +.fa-glass-martini::before { + content: "\f000"; } + +.fa-mask::before { + content: "\f6fa"; } + +.fa-mask-face::before { + content: "\e1d7"; } + +.fa-mask-ventilator::before { + content: "\e524"; } + +.fa-masks-theater::before { + content: "\f630"; } + +.fa-theater-masks::before { + content: "\f630"; } + +.fa-mattress-pillow::before { + content: "\e525"; } + +.fa-maximize::before { + content: "\f31e"; } + +.fa-expand-arrows-alt::before { + content: "\f31e"; } + +.fa-medal::before { + content: "\f5a2"; } + +.fa-memory::before { + content: "\f538"; } + +.fa-menorah::before { + content: "\f676"; } + +.fa-mercury::before { + content: "\f223"; } + +.fa-message::before { + content: "\f27a"; } + +.fa-comment-alt::before { + content: "\f27a"; } + +.fa-meteor::before { + content: "\f753"; } + +.fa-microchip::before { + content: "\f2db"; } + +.fa-microphone::before { + content: "\f130"; } + +.fa-microphone-lines::before { + content: "\f3c9"; } + +.fa-microphone-alt::before { + content: "\f3c9"; } + +.fa-microphone-lines-slash::before { + content: "\f539"; } + +.fa-microphone-alt-slash::before { + content: "\f539"; } + +.fa-microphone-slash::before { + content: "\f131"; } + +.fa-microscope::before { + content: "\f610"; } + +.fa-mill-sign::before { + content: "\e1ed"; } + +.fa-minimize::before { + content: "\f78c"; } + +.fa-compress-arrows-alt::before { + content: "\f78c"; } + +.fa-minus::before { + content: "\f068"; } + +.fa-subtract::before { + content: "\f068"; } + +.fa-mitten::before { + content: "\f7b5"; } + +.fa-mobile::before { + content: "\f3ce"; } + +.fa-mobile-android::before { + content: "\f3ce"; } + +.fa-mobile-phone::before { + content: "\f3ce"; } + +.fa-mobile-button::before { + content: "\f10b"; } + +.fa-mobile-retro::before { + content: "\e527"; } + +.fa-mobile-screen::before { + content: "\f3cf"; } + +.fa-mobile-android-alt::before { + content: "\f3cf"; } + +.fa-mobile-screen-button::before { + content: "\f3cd"; } + +.fa-mobile-alt::before { + content: "\f3cd"; } + +.fa-money-bill::before { + content: "\f0d6"; } + +.fa-money-bill-1::before { + content: "\f3d1"; } + +.fa-money-bill-alt::before { + content: "\f3d1"; } + +.fa-money-bill-1-wave::before { + content: "\f53b"; } + +.fa-money-bill-wave-alt::before { + content: "\f53b"; } + +.fa-money-bill-transfer::before { + content: "\e528"; } + +.fa-money-bill-trend-up::before { + content: "\e529"; } + +.fa-money-bill-wave::before { + content: "\f53a"; } + +.fa-money-bill-wheat::before { + content: "\e52a"; } + +.fa-money-bills::before { + content: "\e1f3"; } + +.fa-money-check::before { + content: "\f53c"; } + +.fa-money-check-dollar::before { + content: "\f53d"; } + +.fa-money-check-alt::before { + content: "\f53d"; } + +.fa-monument::before { + content: "\f5a6"; } + +.fa-moon::before { + content: "\f186"; } + +.fa-mortar-pestle::before { + content: "\f5a7"; } + +.fa-mosque::before { + content: "\f678"; } + +.fa-mosquito::before { + content: "\e52b"; } + +.fa-mosquito-net::before { + content: "\e52c"; } + +.fa-motorcycle::before { + content: "\f21c"; } + +.fa-mound::before { + content: "\e52d"; } + +.fa-mountain::before { + content: "\f6fc"; } + +.fa-mountain-city::before { + content: "\e52e"; } + +.fa-mountain-sun::before { + content: "\e52f"; } + +.fa-mug-hot::before { + content: "\f7b6"; } + +.fa-mug-saucer::before { + content: "\f0f4"; } + +.fa-coffee::before { + content: "\f0f4"; } + +.fa-music::before { + content: "\f001"; } + +.fa-n::before { + content: "\4e"; } + +.fa-naira-sign::before { + content: "\e1f6"; } + +.fa-network-wired::before { + content: "\f6ff"; } + +.fa-neuter::before { + content: "\f22c"; } + +.fa-newspaper::before { + content: "\f1ea"; } + +.fa-not-equal::before { + content: "\f53e"; } + +.fa-note-sticky::before { + content: "\f249"; } + +.fa-sticky-note::before { + content: "\f249"; } + +.fa-notes-medical::before { + content: "\f481"; } + +.fa-o::before { + content: "\4f"; } + +.fa-object-group::before { + content: "\f247"; } + +.fa-object-ungroup::before { + content: "\f248"; } + +.fa-oil-can::before { + content: "\f613"; } + +.fa-oil-well::before { + content: "\e532"; } + +.fa-om::before { + content: "\f679"; } + +.fa-otter::before { + content: "\f700"; } + +.fa-outdent::before { + content: "\f03b"; } + +.fa-dedent::before { + content: "\f03b"; } + +.fa-p::before { + content: "\50"; } + +.fa-pager::before { + content: "\f815"; } + +.fa-paint-roller::before { + content: "\f5aa"; } + +.fa-paintbrush::before { + content: "\f1fc"; } + +.fa-paint-brush::before { + content: "\f1fc"; } + +.fa-palette::before { + content: "\f53f"; } + +.fa-pallet::before { + content: "\f482"; } + +.fa-panorama::before { + content: "\e209"; } + +.fa-paper-plane::before { + content: "\f1d8"; } + +.fa-paperclip::before { + content: "\f0c6"; } + +.fa-parachute-box::before { + content: "\f4cd"; } + +.fa-paragraph::before { + content: "\f1dd"; } + +.fa-passport::before { + content: "\f5ab"; } + +.fa-paste::before { + content: "\f0ea"; } + +.fa-file-clipboard::before { + content: "\f0ea"; } + +.fa-pause::before { + content: "\f04c"; } + +.fa-paw::before { + content: "\f1b0"; } + +.fa-peace::before { + content: "\f67c"; } + +.fa-pen::before { + content: "\f304"; } + +.fa-pen-clip::before { + content: "\f305"; } + +.fa-pen-alt::before { + content: "\f305"; } + +.fa-pen-fancy::before { + content: "\f5ac"; } + +.fa-pen-nib::before { + content: "\f5ad"; } + +.fa-pen-ruler::before { + content: "\f5ae"; } + +.fa-pencil-ruler::before { + content: "\f5ae"; } + +.fa-pen-to-square::before { + content: "\f044"; } + +.fa-edit::before { + content: "\f044"; } + +.fa-pencil::before { + content: "\f303"; } + +.fa-pencil-alt::before { + content: "\f303"; } + +.fa-people-arrows-left-right::before { + content: "\e068"; } + +.fa-people-arrows::before { + content: "\e068"; } + +.fa-people-carry-box::before { + content: "\f4ce"; } + +.fa-people-carry::before { + content: "\f4ce"; } + +.fa-people-group::before { + content: "\e533"; } + +.fa-people-line::before { + content: "\e534"; } + +.fa-people-pulling::before { + content: "\e535"; } + +.fa-people-robbery::before { + content: "\e536"; } + +.fa-people-roof::before { + content: "\e537"; } + +.fa-pepper-hot::before { + content: "\f816"; } + +.fa-percent::before { + content: "\25"; } + +.fa-percentage::before { + content: "\25"; } + +.fa-person::before { + content: "\f183"; } + +.fa-male::before { + content: "\f183"; } + +.fa-person-arrow-down-to-line::before { + content: "\e538"; } + +.fa-person-arrow-up-from-line::before { + content: "\e539"; } + +.fa-person-biking::before { + content: 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content: "\e554"; } + +.fa-person-walking-with-cane::before { + content: "\f29d"; } + +.fa-blind::before { + content: "\f29d"; } + +.fa-peseta-sign::before { + content: "\e221"; } + +.fa-peso-sign::before { + content: "\e222"; } + +.fa-phone::before { + content: "\f095"; } + +.fa-phone-flip::before { + content: "\f879"; } + +.fa-phone-alt::before { + content: "\f879"; } + +.fa-phone-slash::before { + content: "\f3dd"; } + +.fa-phone-volume::before { + content: "\f2a0"; } + +.fa-volume-control-phone::before { + content: "\f2a0"; } + +.fa-photo-film::before { + content: "\f87c"; } + +.fa-photo-video::before { + content: "\f87c"; } + +.fa-piggy-bank::before { + content: "\f4d3"; } + +.fa-pills::before { + content: "\f484"; } + +.fa-pizza-slice::before { + content: "\f818"; } + +.fa-place-of-worship::before { + content: "\f67f"; } + +.fa-plane::before { + content: "\f072"; } + +.fa-plane-arrival::before { + content: "\f5af"; } + +.fa-plane-circle-check::before { + content: "\e555"; } + 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} + +.fa-quote-right-alt::before { + content: "\f10e"; } + +.fa-r::before { + content: "\52"; } + +.fa-radiation::before { + content: "\f7b9"; } + +.fa-radio::before { + content: "\f8d7"; } + +.fa-rainbow::before { + content: "\f75b"; } + +.fa-ranking-star::before { + content: "\e561"; } + +.fa-receipt::before { + content: "\f543"; } + +.fa-record-vinyl::before { + content: "\f8d9"; } + +.fa-rectangle-ad::before { + content: "\f641"; } + +.fa-ad::before { + content: "\f641"; } + +.fa-rectangle-list::before { + content: "\f022"; } + +.fa-list-alt::before { + content: "\f022"; } + +.fa-rectangle-xmark::before { + content: "\f410"; } + +.fa-rectangle-times::before { + content: "\f410"; } + +.fa-times-rectangle::before { + content: "\f410"; } + +.fa-window-close::before { + content: "\f410"; } + +.fa-recycle::before { + content: "\f1b8"; } + +.fa-registered::before { + content: "\f25d"; } + +.fa-repeat::before { + content: "\f363"; } + +.fa-reply::before { + content: "\f3e5"; } + 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content: "\e564"; } + +.fa-road-circle-exclamation::before { + content: "\e565"; } + +.fa-road-circle-xmark::before { + content: "\e566"; } + +.fa-road-lock::before { + content: "\e567"; } + +.fa-road-spikes::before { + content: "\e568"; } + +.fa-robot::before { + content: "\f544"; } + +.fa-rocket::before { + content: "\f135"; } + +.fa-rotate::before { + content: "\f2f1"; } + +.fa-sync-alt::before { + content: "\f2f1"; } + +.fa-rotate-left::before { + content: "\f2ea"; } + +.fa-rotate-back::before { + content: "\f2ea"; } + +.fa-rotate-backward::before { + content: "\f2ea"; } + +.fa-undo-alt::before { + content: "\f2ea"; } + +.fa-rotate-right::before { + content: "\f2f9"; } + +.fa-redo-alt::before { + content: "\f2f9"; } + +.fa-rotate-forward::before { + content: "\f2f9"; } + +.fa-route::before { + content: "\f4d7"; } + +.fa-rss::before { + content: "\f09e"; } + +.fa-feed::before { + content: "\f09e"; } + +.fa-ruble-sign::before { + content: "\f158"; } + +.fa-rouble::before { + content: 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"\f515"; } + +.fa-scale-unbalanced-flip::before { + content: "\f516"; } + +.fa-balance-scale-right::before { + content: "\f516"; } + +.fa-school::before { + content: "\f549"; } + +.fa-school-circle-check::before { + content: "\e56b"; } + +.fa-school-circle-exclamation::before { + content: "\e56c"; } + +.fa-school-circle-xmark::before { + content: "\e56d"; } + +.fa-school-flag::before { + content: "\e56e"; } + +.fa-school-lock::before { + content: "\e56f"; } + +.fa-scissors::before { + content: "\f0c4"; } + +.fa-cut::before { + content: "\f0c4"; } + +.fa-screwdriver::before { + content: "\f54a"; } + +.fa-screwdriver-wrench::before { + content: "\f7d9"; } + +.fa-tools::before { + content: "\f7d9"; } + +.fa-scroll::before { + content: "\f70e"; } + +.fa-scroll-torah::before { + content: "\f6a0"; } + +.fa-torah::before { + content: "\f6a0"; } + +.fa-sd-card::before { + content: "\f7c2"; } + +.fa-section::before { + content: "\e447"; } + +.fa-seedling::before { + content: "\f4d8"; } + 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"\f2dc"; } + +.fa-snowman::before { + content: "\f7d0"; } + +.fa-snowplow::before { + content: "\f7d2"; } + +.fa-soap::before { + content: "\e06e"; } + +.fa-socks::before { + content: "\f696"; } + +.fa-solar-panel::before { + content: "\f5ba"; } + +.fa-sort::before { + content: "\f0dc"; } + +.fa-unsorted::before { + content: "\f0dc"; } + +.fa-sort-down::before { + content: "\f0dd"; } + +.fa-sort-desc::before { + content: "\f0dd"; } + +.fa-sort-up::before { + content: "\f0de"; } + +.fa-sort-asc::before { + content: "\f0de"; } + +.fa-spa::before { + content: "\f5bb"; } + +.fa-spaghetti-monster-flying::before { + content: "\f67b"; } + +.fa-pastafarianism::before { + content: "\f67b"; } + +.fa-spell-check::before { + content: "\f891"; } + +.fa-spider::before { + content: "\f717"; } + +.fa-spinner::before { + content: "\f110"; } + +.fa-splotch::before { + content: "\f5bc"; } + +.fa-spoon::before { + content: "\f2e5"; } + +.fa-utensil-spoon::before { + content: "\f2e5"; } + 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content: "\e579"; } + +.fa-stairs::before { + content: "\e289"; } + +.fa-stamp::before { + content: "\f5bf"; } + +.fa-star::before { + content: "\f005"; } + +.fa-star-and-crescent::before { + content: "\f699"; } + +.fa-star-half::before { + content: "\f089"; } + +.fa-star-half-stroke::before { + content: "\f5c0"; } + +.fa-star-half-alt::before { + content: "\f5c0"; } + +.fa-star-of-david::before { + content: "\f69a"; } + +.fa-star-of-life::before { + content: "\f621"; } + +.fa-sterling-sign::before { + content: "\f154"; } + +.fa-gbp::before { + content: "\f154"; } + +.fa-pound-sign::before { + content: "\f154"; } + +.fa-stethoscope::before { + content: "\f0f1"; } + +.fa-stop::before { + content: "\f04d"; } + +.fa-stopwatch::before { + content: "\f2f2"; } + +.fa-stopwatch-20::before { + content: "\e06f"; } + +.fa-store::before { + content: "\f54e"; } + +.fa-store-slash::before { + content: "\e071"; } + +.fa-street-view::before { + content: "\f21d"; } + +.fa-strikethrough::before { + content: "\f0cc"; } + +.fa-stroopwafel::before { + content: "\f551"; } + +.fa-subscript::before { + content: "\f12c"; } + +.fa-suitcase::before { + content: "\f0f2"; } + +.fa-suitcase-medical::before { + content: "\f0fa"; } + +.fa-medkit::before { + content: "\f0fa"; } + +.fa-suitcase-rolling::before { + content: "\f5c1"; } + +.fa-sun::before { + content: "\f185"; } + +.fa-sun-plant-wilt::before { + content: "\e57a"; } + +.fa-superscript::before { + content: "\f12b"; } + +.fa-swatchbook::before { + content: "\f5c3"; } + +.fa-synagogue::before { + content: "\f69b"; } + +.fa-syringe::before { + content: "\f48e"; } + +.fa-t::before { + content: "\54"; } + +.fa-table::before { + content: "\f0ce"; } + +.fa-table-cells::before { + content: "\f00a"; } + +.fa-th::before { + content: "\f00a"; } + +.fa-table-cells-large::before { + content: "\f009"; } + +.fa-th-large::before { + content: "\f009"; } + +.fa-table-columns::before { + content: "\f0db"; } + +.fa-columns::before { + content: "\f0db"; } + +.fa-table-list::before { + content: "\f00b"; } + +.fa-th-list::before { + content: "\f00b"; } + +.fa-table-tennis-paddle-ball::before { + content: "\f45d"; } + +.fa-ping-pong-paddle-ball::before { + content: "\f45d"; } + +.fa-table-tennis::before { + content: "\f45d"; } + +.fa-tablet::before { + content: "\f3fb"; } + +.fa-tablet-android::before { + content: "\f3fb"; } + +.fa-tablet-button::before { + content: "\f10a"; } + +.fa-tablet-screen-button::before { + content: "\f3fa"; } + +.fa-tablet-alt::before { + content: "\f3fa"; } + +.fa-tablets::before { + content: "\f490"; } + +.fa-tachograph-digital::before { + content: "\f566"; } + +.fa-digital-tachograph::before { + content: "\f566"; } + +.fa-tag::before { + content: "\f02b"; } + +.fa-tags::before { + content: "\f02c"; } + +.fa-tape::before { + content: "\f4db"; } + +.fa-tarp::before { + content: "\e57b"; } + +.fa-tarp-droplet::before { + content: "\e57c"; } + +.fa-taxi::before { + content: "\f1ba"; } + +.fa-cab::before { + content: "\f1ba"; } + +.fa-teeth::before { + content: "\f62e"; } + +.fa-teeth-open::before { + content: "\f62f"; } + +.fa-temperature-arrow-down::before { + content: "\e03f"; } + +.fa-temperature-down::before { + content: "\e03f"; } + +.fa-temperature-arrow-up::before { + content: "\e040"; } + +.fa-temperature-up::before { + content: "\e040"; } + +.fa-temperature-empty::before { + content: "\f2cb"; } + +.fa-temperature-0::before { + content: "\f2cb"; } + +.fa-thermometer-0::before { + content: "\f2cb"; } + +.fa-thermometer-empty::before { + content: "\f2cb"; } + +.fa-temperature-full::before { + content: "\f2c7"; } + +.fa-temperature-4::before { + content: "\f2c7"; } + +.fa-thermometer-4::before { + content: "\f2c7"; } + +.fa-thermometer-full::before { + content: "\f2c7"; } + +.fa-temperature-half::before { + content: "\f2c9"; } + +.fa-temperature-2::before { + content: "\f2c9"; } + +.fa-thermometer-2::before { + content: "\f2c9"; } + +.fa-thermometer-half::before { + content: "\f2c9"; } + +.fa-temperature-high::before { + content: "\f769"; } + +.fa-temperature-low::before { + content: "\f76b"; } + +.fa-temperature-quarter::before { + content: "\f2ca"; } + +.fa-temperature-1::before { + content: "\f2ca"; } + +.fa-thermometer-1::before { + content: "\f2ca"; } + +.fa-thermometer-quarter::before { + content: "\f2ca"; } + +.fa-temperature-three-quarters::before { + content: "\f2c8"; } + +.fa-temperature-3::before { + content: "\f2c8"; } + +.fa-thermometer-3::before { + content: "\f2c8"; } + +.fa-thermometer-three-quarters::before { + content: "\f2c8"; } + +.fa-tenge-sign::before { + content: "\f7d7"; } + +.fa-tenge::before { + content: "\f7d7"; } + +.fa-tent::before { + content: "\e57d"; } + +.fa-tent-arrow-down-to-line::before { + content: "\e57e"; } + +.fa-tent-arrow-left-right::before { + content: "\e57f"; } + +.fa-tent-arrow-turn-left::before { + content: "\e580"; } + +.fa-tent-arrows-down::before { + content: "\e581"; } + +.fa-tents::before { + content: "\e582"; } + +.fa-terminal::before { + content: "\f120"; } + +.fa-text-height::before { + content: "\f034"; } + +.fa-text-slash::before { + content: "\f87d"; } + +.fa-remove-format::before { + content: "\f87d"; } + +.fa-text-width::before { + content: "\f035"; } + +.fa-thermometer::before { + content: "\f491"; } + +.fa-thumbs-down::before { + content: "\f165"; } + +.fa-thumbs-up::before { + content: "\f164"; } + +.fa-thumbtack::before { + content: "\f08d"; } + +.fa-thumb-tack::before { + content: "\f08d"; } + +.fa-ticket::before { + content: "\f145"; } + +.fa-ticket-simple::before { + content: "\f3ff"; } + +.fa-ticket-alt::before { + content: "\f3ff"; } + +.fa-timeline::before { + content: "\e29c"; } + +.fa-toggle-off::before { + content: "\f204"; } + +.fa-toggle-on::before { + content: "\f205"; } + +.fa-toilet::before { + content: "\f7d8"; } + +.fa-toilet-paper::before { + content: "\f71e"; } + +.fa-toilet-paper-slash::before { + content: "\e072"; } + +.fa-toilet-portable::before { + content: "\e583"; } + +.fa-toilets-portable::before { + content: "\e584"; } + +.fa-toolbox::before { + content: "\f552"; } + +.fa-tooth::before { + content: "\f5c9"; } + +.fa-torii-gate::before { + content: "\f6a1"; } + +.fa-tornado::before { + content: "\f76f"; } + +.fa-tower-broadcast::before { + content: "\f519"; } + +.fa-broadcast-tower::before { + content: "\f519"; } + +.fa-tower-cell::before { + content: "\e585"; } + +.fa-tower-observation::before { + content: "\e586"; } + +.fa-tractor::before { + content: "\f722"; } + +.fa-trademark::before { + content: "\f25c"; } + +.fa-traffic-light::before { + content: "\f637"; } + +.fa-trailer::before { + content: "\e041"; } + +.fa-train::before { + content: "\f238"; } + +.fa-train-subway::before { + content: "\f239"; } + +.fa-subway::before { + content: "\f239"; } + +.fa-train-tram::before { + content: "\f7da"; } + +.fa-tram::before { + content: "\f7da"; } + +.fa-transgender::before { + content: "\f225"; } + +.fa-transgender-alt::before { + content: "\f225"; } + +.fa-trash::before { + content: "\f1f8"; } + +.fa-trash-arrow-up::before { + content: "\f829"; } + +.fa-trash-restore::before { + content: "\f829"; } + +.fa-trash-can::before { + content: "\f2ed"; } + +.fa-trash-alt::before { + content: "\f2ed"; } + +.fa-trash-can-arrow-up::before { + content: "\f82a"; } + +.fa-trash-restore-alt::before { + content: "\f82a"; } + +.fa-tree::before { + content: "\f1bb"; } + +.fa-tree-city::before { + content: "\e587"; } + +.fa-triangle-exclamation::before { + content: "\f071"; } + +.fa-exclamation-triangle::before { + content: "\f071"; } + +.fa-warning::before { + content: "\f071"; } + +.fa-trophy::before { + content: "\f091"; } + +.fa-trowel::before { + content: "\e589"; } + +.fa-trowel-bricks::before { + content: "\e58a"; } + +.fa-truck::before { + content: "\f0d1"; } + +.fa-truck-arrow-right::before { + content: "\e58b"; } + +.fa-truck-droplet::before { + content: "\e58c"; } + +.fa-truck-fast::before { + content: "\f48b"; } + +.fa-shipping-fast::before { + content: "\f48b"; } + +.fa-truck-field::before { + content: "\e58d"; } + +.fa-truck-field-un::before { + content: "\e58e"; } + +.fa-truck-front::before { + content: "\e2b7"; } + +.fa-truck-medical::before { + content: "\f0f9"; } + +.fa-ambulance::before { + content: "\f0f9"; } + +.fa-truck-monster::before { + content: "\f63b"; } + +.fa-truck-moving::before { + content: "\f4df"; } + +.fa-truck-pickup::before { + content: "\f63c"; } + +.fa-truck-plane::before { + content: "\e58f"; } + +.fa-truck-ramp-box::before { + content: "\f4de"; } + +.fa-truck-loading::before { + content: "\f4de"; } + +.fa-tty::before { + content: "\f1e4"; } + +.fa-teletype::before { + content: "\f1e4"; } + +.fa-turkish-lira-sign::before { + content: "\e2bb"; } + +.fa-try::before { + content: "\e2bb"; } + +.fa-turkish-lira::before { + content: "\e2bb"; } + +.fa-turn-down::before { + content: "\f3be"; } + +.fa-level-down-alt::before { + content: "\f3be"; } + +.fa-turn-up::before { + content: "\f3bf"; } + +.fa-level-up-alt::before { + content: "\f3bf"; } + +.fa-tv::before { + content: "\f26c"; } + +.fa-television::before { + content: "\f26c"; } + +.fa-tv-alt::before { + content: "\f26c"; } + +.fa-u::before { + content: "\55"; } + +.fa-umbrella::before { + content: "\f0e9"; } + +.fa-umbrella-beach::before { + content: "\f5ca"; } + +.fa-underline::before { + content: "\f0cd"; } + +.fa-universal-access::before { + content: "\f29a"; } + +.fa-unlock::before { + content: "\f09c"; } + +.fa-unlock-keyhole::before { + content: "\f13e"; } + +.fa-unlock-alt::before { + content: "\f13e"; } + +.fa-up-down::before { + content: "\f338"; } + +.fa-arrows-alt-v::before { + content: "\f338"; } + +.fa-up-down-left-right::before { + content: "\f0b2"; } + +.fa-arrows-alt::before { + content: "\f0b2"; } + +.fa-up-long::before { + content: "\f30c"; } + +.fa-long-arrow-alt-up::before { + content: "\f30c"; } + +.fa-up-right-and-down-left-from-center::before { + content: "\f424"; } + +.fa-expand-alt::before { + content: "\f424"; } + +.fa-up-right-from-square::before { + content: "\f35d"; } + +.fa-external-link-alt::before { + content: "\f35d"; } + +.fa-upload::before { + content: "\f093"; } + +.fa-user::before { + content: "\f007"; } + +.fa-user-astronaut::before { + content: "\f4fb"; } + +.fa-user-check::before { + content: "\f4fc"; } + +.fa-user-clock::before { + content: "\f4fd"; } + +.fa-user-doctor::before { + content: "\f0f0"; } + +.fa-user-md::before { + content: "\f0f0"; } + +.fa-user-gear::before { + content: "\f4fe"; } + +.fa-user-cog::before { + content: "\f4fe"; } + +.fa-user-graduate::before { + content: "\f501"; } + +.fa-user-group::before { + content: "\f500"; } + +.fa-user-friends::before { + content: "\f500"; } + +.fa-user-injured::before { + content: "\f728"; } + +.fa-user-large::before { + content: "\f406"; } + +.fa-user-alt::before { + content: "\f406"; } + +.fa-user-large-slash::before { + content: "\f4fa"; } + +.fa-user-alt-slash::before { + content: "\f4fa"; } + +.fa-user-lock::before { + content: "\f502"; } + +.fa-user-minus::before { + content: "\f503"; } + +.fa-user-ninja::before { + content: "\f504"; } + +.fa-user-nurse::before { + content: "\f82f"; } + +.fa-user-pen::before { + content: "\f4ff"; } + +.fa-user-edit::before { + content: "\f4ff"; } + +.fa-user-plus::before { + content: "\f234"; } + +.fa-user-secret::before { + content: "\f21b"; } + +.fa-user-shield::before { + content: "\f505"; } + +.fa-user-slash::before { + content: "\f506"; } + +.fa-user-tag::before { + content: "\f507"; } + +.fa-user-tie::before { + content: "\f508"; } + +.fa-user-xmark::before { + content: "\f235"; } + +.fa-user-times::before { + content: "\f235"; } + +.fa-users::before { + content: "\f0c0"; } + +.fa-users-between-lines::before { + content: "\e591"; } + +.fa-users-gear::before { + content: "\f509"; } + +.fa-users-cog::before { + content: "\f509"; } + +.fa-users-line::before { + content: "\e592"; } + +.fa-users-rays::before { + content: "\e593"; } + +.fa-users-rectangle::before { + content: "\e594"; } + +.fa-users-slash::before { + content: "\e073"; } + +.fa-users-viewfinder::before { + content: "\e595"; } + +.fa-utensils::before { + content: "\f2e7"; } + +.fa-cutlery::before { + content: "\f2e7"; } + +.fa-v::before { + content: "\56"; } + +.fa-van-shuttle::before { + content: "\f5b6"; } + +.fa-shuttle-van::before { + content: "\f5b6"; } + +.fa-vault::before { + content: "\e2c5"; } + +.fa-vector-square::before { + content: "\f5cb"; } + +.fa-venus::before { + content: "\f221"; } + +.fa-venus-double::before { + content: "\f226"; } + +.fa-venus-mars::before { + content: "\f228"; } + +.fa-vest::before { + content: "\e085"; } + +.fa-vest-patches::before { + content: "\e086"; } + +.fa-vial::before { + content: "\f492"; } + +.fa-vial-circle-check::before { + content: "\e596"; } + +.fa-vial-virus::before { + content: "\e597"; } + +.fa-vials::before { + content: "\f493"; } + +.fa-video::before { + content: "\f03d"; } + +.fa-video-camera::before { + content: "\f03d"; } + +.fa-video-slash::before { + content: "\f4e2"; } + +.fa-vihara::before { + content: "\f6a7"; } + +.fa-virus::before { + content: "\e074"; } + +.fa-virus-covid::before { + content: "\e4a8"; } + +.fa-virus-covid-slash::before { + content: "\e4a9"; } + +.fa-virus-slash::before { + content: "\e075"; } + +.fa-viruses::before { + content: "\e076"; } + +.fa-voicemail::before { + content: "\f897"; } + +.fa-volcano::before { + content: "\f770"; } + +.fa-volleyball::before { + content: "\f45f"; } + +.fa-volleyball-ball::before { + content: "\f45f"; } + +.fa-volume-high::before { + content: "\f028"; } + +.fa-volume-up::before { + content: "\f028"; } + +.fa-volume-low::before { + content: "\f027"; } + +.fa-volume-down::before { + content: "\f027"; } + +.fa-volume-off::before { + content: "\f026"; } + +.fa-volume-xmark::before { + content: "\f6a9"; } + +.fa-volume-mute::before { + content: "\f6a9"; } + +.fa-volume-times::before { + content: "\f6a9"; } + +.fa-vr-cardboard::before { + content: "\f729"; } + +.fa-w::before { + content: "\57"; } + +.fa-walkie-talkie::before { + content: "\f8ef"; } + +.fa-wallet::before { + content: "\f555"; } + +.fa-wand-magic::before { + content: "\f0d0"; } + +.fa-magic::before { + content: "\f0d0"; } + +.fa-wand-magic-sparkles::before { + content: "\e2ca"; } + +.fa-magic-wand-sparkles::before { + content: "\e2ca"; } + +.fa-wand-sparkles::before { + content: "\f72b"; } + +.fa-warehouse::before { + content: "\f494"; } + +.fa-water::before { + content: "\f773"; } + +.fa-water-ladder::before { + content: "\f5c5"; } + +.fa-ladder-water::before { + content: "\f5c5"; } + +.fa-swimming-pool::before { + content: "\f5c5"; } + +.fa-wave-square::before { + content: "\f83e"; } + +.fa-weight-hanging::before { + content: "\f5cd"; } + +.fa-weight-scale::before { + content: "\f496"; } + +.fa-weight::before { + content: "\f496"; } + +.fa-wheat-awn::before { + content: "\e2cd"; } + +.fa-wheat-alt::before { + content: "\e2cd"; } + +.fa-wheat-awn-circle-exclamation::before { + content: "\e598"; } + +.fa-wheelchair::before { + content: "\f193"; } + +.fa-wheelchair-move::before { + content: "\e2ce"; } + +.fa-wheelchair-alt::before { + content: "\e2ce"; } + +.fa-whiskey-glass::before { + content: "\f7a0"; } + +.fa-glass-whiskey::before { + content: "\f7a0"; } + +.fa-wifi::before { + content: "\f1eb"; } + +.fa-wifi-3::before { + content: "\f1eb"; } + +.fa-wifi-strong::before { + content: "\f1eb"; } + +.fa-wind::before { + content: "\f72e"; } + +.fa-window-maximize::before { + content: "\f2d0"; } + +.fa-window-minimize::before { + content: "\f2d1"; } + +.fa-window-restore::before { + content: "\f2d2"; } + +.fa-wine-bottle::before { + content: "\f72f"; } + +.fa-wine-glass::before { + content: "\f4e3"; } + +.fa-wine-glass-empty::before { + content: "\f5ce"; } + +.fa-wine-glass-alt::before { + content: "\f5ce"; } + +.fa-won-sign::before { + content: "\f159"; } + +.fa-krw::before { + content: "\f159"; } + +.fa-won::before { + content: "\f159"; } + +.fa-worm::before { + content: "\e599"; } + +.fa-wrench::before { + content: "\f0ad"; } + +.fa-x::before { + content: "\58"; } + +.fa-x-ray::before { + content: "\f497"; } + +.fa-xmark::before { + content: "\f00d"; } + +.fa-close::before { + content: "\f00d"; } + +.fa-multiply::before { + content: "\f00d"; } + +.fa-remove::before { + content: "\f00d"; } + +.fa-times::before { + content: "\f00d"; } + +.fa-xmarks-lines::before { + content: "\e59a"; } + +.fa-y::before { + content: "\59"; } + +.fa-yen-sign::before { + content: "\f157"; } + +.fa-cny::before { + content: "\f157"; } + +.fa-jpy::before { + content: "\f157"; } + +.fa-rmb::before { + content: "\f157"; } + +.fa-yen::before { + content: "\f157"; } + +.fa-yin-yang::before { + content: "\f6ad"; } + +.fa-z::before { + content: "\5a"; } + +.sr-only, +.fa-sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } + +.sr-only-focusable:not(:focus), +.fa-sr-only-focusable:not(:focus) { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } +:root, :host { + --fa-font-brands: normal 400 1em/1 "Font Awesome 6 Brands"; } + +@font-face { + font-family: 'Font Awesome 6 Brands'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +.fab, +.fa-brands { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa-42-group:before { + content: "\e080"; } + +.fa-innosoft:before { + content: "\e080"; } + +.fa-500px:before { + content: "\f26e"; } + +.fa-accessible-icon:before { + content: "\f368"; } + +.fa-accusoft:before { + content: "\f369"; } + +.fa-adn:before { + content: "\f170"; } + +.fa-adversal:before 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content: "\f198"; } + +.fa-slack-hash:before { + content: "\f198"; } + +.fa-slideshare:before { + content: "\f1e7"; } + +.fa-snapchat:before { + content: "\f2ab"; } + +.fa-snapchat-ghost:before { + content: "\f2ab"; } + +.fa-snapchat-square:before { + content: "\f2ad"; } + +.fa-soundcloud:before { + content: "\f1be"; } + +.fa-sourcetree:before { + content: "\f7d3"; } + +.fa-speakap:before { + content: "\f3f3"; } + +.fa-speaker-deck:before { + content: "\f83c"; } + +.fa-spotify:before { + content: "\f1bc"; } + +.fa-square-font-awesome:before { + content: "\f425"; } + +.fa-square-font-awesome-stroke:before { + content: "\f35c"; } + +.fa-font-awesome-alt:before { + content: "\f35c"; } + +.fa-squarespace:before { + content: "\f5be"; } + +.fa-stack-exchange:before { + content: "\f18d"; } + +.fa-stack-overflow:before { + content: "\f16c"; } + +.fa-stackpath:before { + content: "\f842"; } + +.fa-staylinked:before { + content: "\f3f5"; } + +.fa-steam:before { + content: "\f1b6"; } + +.fa-steam-square:before { + content: "\f1b7"; } + +.fa-steam-symbol:before { + content: "\f3f6"; } + +.fa-sticker-mule:before { + content: "\f3f7"; } + +.fa-strava:before { + content: "\f428"; } + +.fa-stripe:before { + content: "\f429"; } + +.fa-stripe-s:before { + content: "\f42a"; } + +.fa-studiovinari:before { + content: "\f3f8"; } + +.fa-stumbleupon:before { + content: "\f1a4"; } + +.fa-stumbleupon-circle:before { + content: "\f1a3"; } + +.fa-superpowers:before { + content: "\f2dd"; } + +.fa-supple:before { + content: "\f3f9"; } + +.fa-suse:before { + content: "\f7d6"; } + +.fa-swift:before { + content: "\f8e1"; } + +.fa-symfony:before { + content: "\f83d"; } + +.fa-teamspeak:before { + content: "\f4f9"; } + +.fa-telegram:before { + content: "\f2c6"; } + +.fa-telegram-plane:before { + content: "\f2c6"; } + +.fa-tencent-weibo:before { + content: "\f1d5"; } + +.fa-the-red-yeti:before { + content: "\f69d"; } + +.fa-themeco:before { + content: "\f5c6"; } + +.fa-themeisle:before { + content: "\f2b2"; } + +.fa-think-peaks:before { + content: "\f731"; } + +.fa-tiktok:before { + content: "\e07b"; } + +.fa-trade-federation:before { + content: "\f513"; } + +.fa-trello:before { + content: "\f181"; } + +.fa-tumblr:before { + content: "\f173"; } + +.fa-tumblr-square:before { + content: "\f174"; } + +.fa-twitch:before { + content: "\f1e8"; } + +.fa-twitter:before { + content: "\f099"; } + +.fa-twitter-square:before { + content: "\f081"; } + +.fa-typo3:before { + content: "\f42b"; } + +.fa-uber:before { + content: "\f402"; } + +.fa-ubuntu:before { + content: "\f7df"; } + +.fa-uikit:before { + content: "\f403"; } + +.fa-umbraco:before { + content: "\f8e8"; } + +.fa-uncharted:before { + content: "\e084"; } + +.fa-uniregistry:before { + content: "\f404"; } + +.fa-unity:before { + content: "\e049"; } + +.fa-unsplash:before { + content: "\e07c"; } + +.fa-untappd:before { + content: "\f405"; } + +.fa-ups:before { + content: "\f7e0"; } + +.fa-usb:before { + content: "\f287"; } + +.fa-usps:before { + content: "\f7e1"; } + +.fa-ussunnah:before { + content: "\f407"; } + +.fa-vaadin:before { + content: "\f408"; } + +.fa-viacoin:before { + content: "\f237"; } + +.fa-viadeo:before { + content: "\f2a9"; } + +.fa-viadeo-square:before { + content: "\f2aa"; } + +.fa-viber:before { + content: "\f409"; } + +.fa-vimeo:before { + content: "\f40a"; } + +.fa-vimeo-square:before { + content: "\f194"; } + +.fa-vimeo-v:before { + content: "\f27d"; } + +.fa-vine:before { + content: "\f1ca"; } + +.fa-vk:before { + content: "\f189"; } + +.fa-vnv:before { + content: "\f40b"; } + +.fa-vuejs:before { + content: "\f41f"; } + +.fa-watchman-monitoring:before { + content: "\e087"; } + +.fa-waze:before { + content: "\f83f"; } + +.fa-weebly:before { + content: "\f5cc"; } + +.fa-weibo:before { + content: "\f18a"; } + +.fa-weixin:before { + content: "\f1d7"; } + +.fa-whatsapp:before { + content: "\f232"; } + +.fa-whatsapp-square:before { + content: "\f40c"; } + +.fa-whmcs:before { + content: "\f40d"; } + +.fa-wikipedia-w:before { + content: "\f266"; } + +.fa-windows:before { + content: "\f17a"; } + +.fa-wirsindhandwerk:before { + content: "\e2d0"; } + +.fa-wsh:before { + content: "\e2d0"; } + +.fa-wix:before { + content: "\f5cf"; } + +.fa-wizards-of-the-coast:before { + content: "\f730"; } + +.fa-wodu:before { + content: "\e088"; } + +.fa-wolf-pack-battalion:before { + content: "\f514"; } + +.fa-wordpress:before { + content: "\f19a"; } + +.fa-wordpress-simple:before { + content: "\f411"; } + +.fa-wpbeginner:before { + content: "\f297"; } + +.fa-wpexplorer:before { + content: "\f2de"; } + +.fa-wpforms:before { + content: "\f298"; } + +.fa-wpressr:before { + content: "\f3e4"; } + +.fa-xbox:before { + content: "\f412"; } + +.fa-xing:before { + content: "\f168"; } + +.fa-xing-square:before { + content: "\f169"; } + +.fa-y-combinator:before { + content: "\f23b"; } + +.fa-yahoo:before { + content: "\f19e"; } + +.fa-yammer:before { + content: "\f840"; } + +.fa-yandex:before { + content: "\f413"; } + +.fa-yandex-international:before { + content: "\f414"; } + +.fa-yarn:before { + content: "\f7e3"; } + +.fa-yelp:before { + content: "\f1e9"; } + +.fa-yoast:before { + content: "\f2b1"; } + +.fa-youtube:before { + content: "\f167"; } + +.fa-youtube-square:before { + content: "\f431"; } + +.fa-zhihu:before { + content: "\f63f"; } +:root, :host { + --fa-font-regular: normal 400 1em/1 "Font Awesome 6 Free"; } + +@font-face { + font-family: 'Font Awesome 6 Free'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); } + +.far, +.fa-regular { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } +:root, :host { + --fa-font-solid: normal 900 1em/1 "Font Awesome 6 Free"; } + +@font-face { + font-family: 'Font Awesome 6 Free'; + font-style: normal; + font-weight: 900; + font-display: block; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +.fas, +.fa-solid { + font-family: 'Font Awesome 6 Free'; + font-weight: 900; } +@font-face { + font-family: "Font Awesome 5 Brands"; + font-display: block; + font-weight: 400; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +@font-face { + font-family: "Font Awesome 5 Free"; + font-display: block; + font-weight: 900; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +@font-face { + font-family: "Font Awesome 5 Free"; + font-display: block; + font-weight: 400; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); } +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); + unicode-range: U+F003,U+F006,U+F014,U+F016-F017,U+F01A-F01B,U+F01D,U+F022,U+F03E,U+F044,U+F046,U+F05C-F05D,U+F06E,U+F070,U+F087-F088,U+F08A,U+F094,U+F096-F097,U+F09D,U+F0A0,U+F0A2,U+F0A4-F0A7,U+F0C5,U+F0C7,U+F0E5-F0E6,U+F0EB,U+F0F6-F0F8,U+F10C,U+F114-F115,U+F118-F11A,U+F11C-F11D,U+F133,U+F147,U+F14E,U+F150-F152,U+F185-F186,U+F18E,U+F190-F192,U+F196,U+F1C1-F1C9,U+F1D9,U+F1DB,U+F1E3,U+F1EA,U+F1F7,U+F1F9,U+F20A,U+F247-F248,U+F24A,U+F24D,U+F255-F25B,U+F25D,U+F271-F274,U+F278,U+F27B,U+F28C,U+F28E,U+F29C,U+F2B5,U+F2B7,U+F2BA,U+F2BC,U+F2BE,U+F2C0-F2C1,U+F2C3,U+F2D0,U+F2D2,U+F2D4,U+F2DC; } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-v4compatibility.woff2") format("woff2"), url("1e21o67/fa-v4compatibility.ttf") format("truetype"); + unicode-range: U+F041,U+F047,U+F065-F066,U+F07D-F07E,U+F080,U+F08B,U+F08E,U+F090,U+F09A,U+F0AC,U+F0AE,U+F0B2,U+F0D0,U+F0D6,U+F0E4,U+F0EC,U+F10A-F10B,U+F123,U+F13E,U+F148-F149,U+F14C,U+F156,U+F15E,U+F160-F161,U+F163,U+F175-F178,U+F195,U+F1F8,U+F219,U+F250,U+F252,U+F27A; } diff --git a/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/all.css b/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/all.css new file mode 100644 index 00000000..ab3fcbd3 --- /dev/null +++ b/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/all.css @@ -0,0 +1,7831 @@ +/*! + * Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + * Copyright 2022 Fonticons, Inc. + */ +.fa { + font-family: var(--fa-style-family, "Font Awesome 6 Free"); + font-weight: var(--fa-style, 900); } + +.fa, +.fas, +.fa-solid, +.far, +.fa-regular, +.fal, +.fa-light, +.fat, +.fa-thin, +.fad, +.fa-duotone, +.fab, +.fa-brands { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: var(--fa-display, inline-block); + font-style: normal; + font-variant: normal; + line-height: 1; + text-rendering: auto; } + +.fa-1x { + font-size: 1em; } + +.fa-2x { + font-size: 2em; } + +.fa-3x { + font-size: 3em; } + +.fa-4x { + font-size: 4em; } + +.fa-5x { + font-size: 5em; } + +.fa-6x { + font-size: 6em; } + +.fa-7x { + font-size: 7em; } + +.fa-8x { + font-size: 8em; } + +.fa-9x { + font-size: 9em; } + +.fa-10x { + font-size: 10em; } + +.fa-2xs { + font-size: 0.625em; + line-height: 0.1em; + vertical-align: 0.225em; } + +.fa-xs { + font-size: 0.75em; + line-height: 0.08333em; + vertical-align: 0.125em; } + +.fa-sm { + font-size: 0.875em; + line-height: 0.07143em; + vertical-align: 0.05357em; } + +.fa-lg { + font-size: 1.25em; + line-height: 0.05em; + vertical-align: -0.075em; } + +.fa-xl { + font-size: 1.5em; + line-height: 0.04167em; + vertical-align: -0.125em; } + +.fa-2xl { + font-size: 2em; + line-height: 0.03125em; + vertical-align: -0.1875em; } + +.fa-fw { + text-align: center; + width: 1.25em; } + +.fa-ul { + list-style-type: none; + margin-left: var(--fa-li-margin, 2.5em); + padding-left: 0; } + .fa-ul > li { + position: relative; } + +.fa-li { + left: calc(var(--fa-li-width, 2em) * -1); + position: absolute; + text-align: center; + width: var(--fa-li-width, 2em); + line-height: inherit; } + +.fa-border { + border-color: var(--fa-border-color, #eee); + border-radius: var(--fa-border-radius, 0.1em); + border-style: var(--fa-border-style, solid); + border-width: var(--fa-border-width, 0.08em); + padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); } + +.fa-pull-left { + float: left; + margin-right: var(--fa-pull-margin, 0.3em); } + +.fa-pull-right { + float: right; + margin-left: var(--fa-pull-margin, 0.3em); } + +.fa-beat { + -webkit-animation-name: fa-beat; + animation-name: fa-beat; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); + animation-timing-function: var(--fa-animation-timing, ease-in-out); } + +.fa-bounce { + -webkit-animation-name: fa-bounce; + animation-name: fa-bounce; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); } + +.fa-fade { + -webkit-animation-name: fa-fade; + animation-name: fa-fade; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } + +.fa-beat-fade { + -webkit-animation-name: fa-beat-fade; + animation-name: fa-beat-fade; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } + +.fa-flip { + -webkit-animation-name: fa-flip; + animation-name: fa-flip; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); + animation-timing-function: var(--fa-animation-timing, ease-in-out); } + +.fa-shake { + -webkit-animation-name: fa-shake; + animation-name: fa-shake; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-delay: var(--fa-animation-delay, 0); + animation-delay: var(--fa-animation-delay, 0); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 2s); + animation-duration: var(--fa-animation-duration, 2s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin-reverse { + --fa-animation-direction: reverse; } + +.fa-pulse, +.fa-spin-pulse { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); + animation-timing-function: var(--fa-animation-timing, steps(8)); } + +@media (prefers-reduced-motion: reduce) { + .fa-beat, + .fa-bounce, + .fa-fade, + .fa-beat-fade, + .fa-flip, + .fa-pulse, + .fa-shake, + .fa-spin, + .fa-spin-pulse { + -webkit-animation-delay: -1ms; + animation-delay: -1ms; + -webkit-animation-duration: 1ms; + animation-duration: 1ms; + -webkit-animation-iteration-count: 1; + animation-iteration-count: 1; + transition-delay: 0s; + transition-duration: 0s; } } + +@-webkit-keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@-webkit-keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@-webkit-keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@-webkit-keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@-webkit-keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@-webkit-keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@-webkit-keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +@keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +.fa-rotate-90 { + -webkit-transform: rotate(90deg); + transform: rotate(90deg); } + +.fa-rotate-180 { + -webkit-transform: rotate(180deg); + transform: rotate(180deg); } + +.fa-rotate-270 { + -webkit-transform: rotate(270deg); + transform: rotate(270deg); } + +.fa-flip-horizontal { + -webkit-transform: scale(-1, 1); + transform: scale(-1, 1); } + +.fa-flip-vertical { + -webkit-transform: scale(1, -1); + transform: scale(1, -1); } + +.fa-flip-both, +.fa-flip-horizontal.fa-flip-vertical { + -webkit-transform: scale(-1, -1); + transform: scale(-1, -1); } + +.fa-rotate-by { + -webkit-transform: rotate(var(--fa-rotate-angle, none)); + transform: rotate(var(--fa-rotate-angle, none)); } + +.fa-stack { + display: inline-block; + height: 2em; + line-height: 2em; + position: relative; + vertical-align: middle; + width: 2.5em; } + +.fa-stack-1x, +.fa-stack-2x { + left: 0; + position: absolute; + text-align: center; + width: 100%; + z-index: var(--fa-stack-z-index, auto); } + +.fa-stack-1x { + line-height: inherit; } + +.fa-stack-2x { + font-size: 2em; } + +.fa-inverse { + color: var(--fa-inverse, #fff); } + +/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen +readers do not read off random characters that represent icons */ +.fa-0::before { + content: "\30"; } + +.fa-1::before { + content: "\31"; } + +.fa-2::before { + content: "\32"; } + +.fa-3::before { + content: "\33"; } + +.fa-4::before { + content: "\34"; } + +.fa-5::before { + content: "\35"; } + +.fa-6::before { + content: "\36"; } + +.fa-7::before { + content: "\37"; } + +.fa-8::before { + content: "\38"; } + +.fa-9::before { + content: "\39"; } + +.fa-a::before { + content: "\41"; } + +.fa-address-book::before { + content: "\f2b9"; } + +.fa-contact-book::before { + content: "\f2b9"; } + +.fa-address-card::before { + content: "\f2bb"; } + +.fa-contact-card::before { + content: "\f2bb"; } + +.fa-vcard::before { + content: "\f2bb"; } + +.fa-align-center::before { + content: "\f037"; } + +.fa-align-justify::before { + content: "\f039"; } + +.fa-align-left::before { + content: "\f036"; } + +.fa-align-right::before { + content: "\f038"; } + +.fa-anchor::before { + content: "\f13d"; } + +.fa-anchor-circle-check::before { + content: "\e4aa"; } + +.fa-anchor-circle-exclamation::before { + content: "\e4ab"; } + +.fa-anchor-circle-xmark::before { + content: "\e4ac"; } + +.fa-anchor-lock::before { + content: "\e4ad"; } + +.fa-angle-down::before { + content: "\f107"; } + +.fa-angle-left::before { + content: "\f104"; } + +.fa-angle-right::before { + content: "\f105"; } + +.fa-angle-up::before { + content: "\f106"; } + +.fa-angles-down::before { + content: "\f103"; } + +.fa-angle-double-down::before { + content: "\f103"; } + +.fa-angles-left::before { + content: "\f100"; } + +.fa-angle-double-left::before { + content: "\f100"; } + +.fa-angles-right::before { + content: "\f101"; } + +.fa-angle-double-right::before { + content: "\f101"; } + +.fa-angles-up::before { + content: "\f102"; } + +.fa-angle-double-up::before { + content: "\f102"; } + +.fa-ankh::before { + content: "\f644"; } + +.fa-apple-whole::before { + content: "\f5d1"; } + +.fa-apple-alt::before { + content: "\f5d1"; } + +.fa-archway::before { + content: "\f557"; } + +.fa-arrow-down::before { + content: "\f063"; } + +.fa-arrow-down-1-9::before { + content: "\f162"; } + +.fa-sort-numeric-asc::before { + content: "\f162"; } + +.fa-sort-numeric-down::before { + content: "\f162"; } + +.fa-arrow-down-9-1::before { + content: "\f886"; } + +.fa-sort-numeric-desc::before { + content: "\f886"; } + +.fa-sort-numeric-down-alt::before { + content: "\f886"; } + +.fa-arrow-down-a-z::before { + content: "\f15d"; } + +.fa-sort-alpha-asc::before { + content: "\f15d"; } + +.fa-sort-alpha-down::before { + content: "\f15d"; } + +.fa-arrow-down-long::before { + content: "\f175"; } + +.fa-long-arrow-down::before { + content: "\f175"; } + +.fa-arrow-down-short-wide::before { + content: "\f884"; } + +.fa-sort-amount-desc::before { + content: "\f884"; } + +.fa-sort-amount-down-alt::before { + content: "\f884"; } + +.fa-arrow-down-up-across-line::before { + content: "\e4af"; } + +.fa-arrow-down-up-lock::before { + content: "\e4b0"; } + +.fa-arrow-down-wide-short::before { + content: "\f160"; } + +.fa-sort-amount-asc::before { + content: "\f160"; } + +.fa-sort-amount-down::before { + content: "\f160"; } + +.fa-arrow-down-z-a::before { + content: "\f881"; } + +.fa-sort-alpha-desc::before { + content: "\f881"; } + +.fa-sort-alpha-down-alt::before { + content: "\f881"; } + +.fa-arrow-left::before { + content: "\f060"; } + +.fa-arrow-left-long::before { + content: "\f177"; } + +.fa-long-arrow-left::before { + content: "\f177"; } + +.fa-arrow-pointer::before { + content: "\f245"; } + +.fa-mouse-pointer::before { + content: "\f245"; } + +.fa-arrow-right::before { + content: "\f061"; } + +.fa-arrow-right-arrow-left::before { + content: "\f0ec"; } + +.fa-exchange::before { + content: "\f0ec"; } + +.fa-arrow-right-from-bracket::before { + content: "\f08b"; } + +.fa-sign-out::before { + content: "\f08b"; } + +.fa-arrow-right-long::before { + content: "\f178"; } + +.fa-long-arrow-right::before { + content: "\f178"; } + +.fa-arrow-right-to-bracket::before { + content: "\f090"; } + +.fa-sign-in::before { + content: "\f090"; } + +.fa-arrow-right-to-city::before { + content: "\e4b3"; } + +.fa-arrow-rotate-left::before { + content: "\f0e2"; } + +.fa-arrow-left-rotate::before { + content: "\f0e2"; } + +.fa-arrow-rotate-back::before { + content: "\f0e2"; } + +.fa-arrow-rotate-backward::before { + content: "\f0e2"; } + +.fa-undo::before { + content: "\f0e2"; } + +.fa-arrow-rotate-right::before { + content: "\f01e"; } + +.fa-arrow-right-rotate::before { + content: "\f01e"; } + +.fa-arrow-rotate-forward::before { + content: "\f01e"; } + +.fa-redo::before { + content: "\f01e"; } + +.fa-arrow-trend-down::before { + content: "\e097"; } + +.fa-arrow-trend-up::before { + content: "\e098"; } + +.fa-arrow-turn-down::before { + content: "\f149"; } + +.fa-level-down::before { + content: "\f149"; } + +.fa-arrow-turn-up::before { + content: "\f148"; } + +.fa-level-up::before { + content: "\f148"; } + +.fa-arrow-up::before { + content: "\f062"; } + +.fa-arrow-up-1-9::before { + content: "\f163"; } + +.fa-sort-numeric-up::before { + content: "\f163"; } + +.fa-arrow-up-9-1::before { + content: "\f887"; } + +.fa-sort-numeric-up-alt::before { + content: "\f887"; } + +.fa-arrow-up-a-z::before { + content: "\f15e"; } + +.fa-sort-alpha-up::before { + content: "\f15e"; } + +.fa-arrow-up-from-bracket::before { + content: "\e09a"; } + +.fa-arrow-up-from-ground-water::before { + content: "\e4b5"; } + +.fa-arrow-up-from-water-pump::before { + content: "\e4b6"; } + +.fa-arrow-up-long::before { + content: "\f176"; } + +.fa-long-arrow-up::before { + content: "\f176"; } + +.fa-arrow-up-right-dots::before { + content: "\e4b7"; } + +.fa-arrow-up-right-from-square::before { + content: "\f08e"; } + +.fa-external-link::before { + content: "\f08e"; } + +.fa-arrow-up-short-wide::before { + content: "\f885"; } + +.fa-sort-amount-up-alt::before { + content: "\f885"; } + +.fa-arrow-up-wide-short::before { + content: "\f161"; } + +.fa-sort-amount-up::before { + content: "\f161"; } + +.fa-arrow-up-z-a::before { + content: "\f882"; } + +.fa-sort-alpha-up-alt::before { + content: "\f882"; } + +.fa-arrows-down-to-line::before { + content: "\e4b8"; } + +.fa-arrows-down-to-people::before { + content: "\e4b9"; } + +.fa-arrows-left-right::before { + content: "\f07e"; } + +.fa-arrows-h::before { + content: "\f07e"; } + +.fa-arrows-left-right-to-line::before { + content: "\e4ba"; } + +.fa-arrows-rotate::before { + content: "\f021"; } + +.fa-refresh::before { + content: "\f021"; } + +.fa-sync::before { + content: "\f021"; } + +.fa-arrows-spin::before { + content: "\e4bb"; } + +.fa-arrows-split-up-and-left::before { + content: "\e4bc"; } + +.fa-arrows-to-circle::before { + content: "\e4bd"; } + +.fa-arrows-to-dot::before { + content: "\e4be"; } + +.fa-arrows-to-eye::before { + content: "\e4bf"; } + +.fa-arrows-turn-right::before { + content: "\e4c0"; } + +.fa-arrows-turn-to-dots::before { + content: "\e4c1"; } + +.fa-arrows-up-down::before { + content: "\f07d"; } + +.fa-arrows-v::before { + content: "\f07d"; } + +.fa-arrows-up-down-left-right::before { + content: "\f047"; } + +.fa-arrows::before { + content: "\f047"; } + +.fa-arrows-up-to-line::before { + content: "\e4c2"; } + +.fa-asterisk::before { + content: "\2a"; } + +.fa-at::before { + content: "\40"; } + +.fa-atom::before { + content: "\f5d2"; } + +.fa-audio-description::before { + content: "\f29e"; } + +.fa-austral-sign::before { + content: "\e0a9"; } + +.fa-award::before { + content: "\f559"; } + +.fa-b::before { + content: "\42"; } + +.fa-baby::before { + content: "\f77c"; } + +.fa-baby-carriage::before { + content: "\f77d"; } + +.fa-carriage-baby::before { + content: "\f77d"; } + +.fa-backward::before { + content: "\f04a"; } + +.fa-backward-fast::before { + content: "\f049"; } + +.fa-fast-backward::before { + content: "\f049"; } + +.fa-backward-step::before { + content: "\f048"; } + +.fa-step-backward::before { + content: "\f048"; } + +.fa-bacon::before { + content: "\f7e5"; } + +.fa-bacteria::before { + content: "\e059"; } + +.fa-bacterium::before { + content: "\e05a"; } + +.fa-bag-shopping::before { + content: "\f290"; } + +.fa-shopping-bag::before { + content: "\f290"; } + +.fa-bahai::before { + content: "\f666"; } + +.fa-baht-sign::before { + content: "\e0ac"; } + +.fa-ban::before { + content: "\f05e"; } + +.fa-cancel::before { + content: "\f05e"; } + +.fa-ban-smoking::before { + content: "\f54d"; } + +.fa-smoking-ban::before { + content: "\f54d"; } + +.fa-bandage::before { + content: "\f462"; } + +.fa-band-aid::before { + content: "\f462"; } + +.fa-barcode::before { + content: "\f02a"; } + +.fa-bars::before { + content: "\f0c9"; } + +.fa-navicon::before { + content: "\f0c9"; } + +.fa-bars-progress::before { + content: "\f828"; } + +.fa-tasks-alt::before { + content: "\f828"; } + +.fa-bars-staggered::before { + content: "\f550"; } + +.fa-reorder::before { + content: "\f550"; } + +.fa-stream::before { + content: "\f550"; } + +.fa-baseball::before { + content: "\f433"; } + +.fa-baseball-ball::before { + content: "\f433"; } + +.fa-baseball-bat-ball::before { + content: "\f432"; } + +.fa-basket-shopping::before { + content: "\f291"; } + +.fa-shopping-basket::before { + content: "\f291"; } + +.fa-basketball::before { + content: "\f434"; } + +.fa-basketball-ball::before { + content: "\f434"; } + +.fa-bath::before { + content: "\f2cd"; } + +.fa-bathtub::before { + content: "\f2cd"; } + +.fa-battery-empty::before { + content: "\f244"; } + +.fa-battery-0::before { + content: "\f244"; } + +.fa-battery-full::before { + content: "\f240"; } + +.fa-battery::before { + content: "\f240"; } + +.fa-battery-5::before { + content: "\f240"; } + +.fa-battery-half::before { + content: "\f242"; } + +.fa-battery-3::before { + content: "\f242"; } + +.fa-battery-quarter::before { + content: "\f243"; } + +.fa-battery-2::before { + content: "\f243"; } + +.fa-battery-three-quarters::before { + content: "\f241"; } + +.fa-battery-4::before { + content: "\f241"; } + +.fa-bed::before { + content: "\f236"; } + +.fa-bed-pulse::before { + content: "\f487"; } + +.fa-procedures::before { + content: "\f487"; } + +.fa-beer-mug-empty::before { + content: "\f0fc"; } + +.fa-beer::before { + content: "\f0fc"; } + +.fa-bell::before { + content: "\f0f3"; } + +.fa-bell-concierge::before { + content: "\f562"; } + +.fa-concierge-bell::before { + content: "\f562"; } + +.fa-bell-slash::before { + content: "\f1f6"; } + +.fa-bezier-curve::before { + content: "\f55b"; } + +.fa-bicycle::before { + content: "\f206"; } + +.fa-binoculars::before { + content: "\f1e5"; } + +.fa-biohazard::before { + content: "\f780"; } + +.fa-bitcoin-sign::before { + content: "\e0b4"; } + +.fa-blender::before { + content: "\f517"; } + +.fa-blender-phone::before { + content: "\f6b6"; } + +.fa-blog::before { + content: "\f781"; } + +.fa-bold::before { + content: "\f032"; } + +.fa-bolt::before { + content: "\f0e7"; } + +.fa-zap::before { + content: "\f0e7"; } + +.fa-bolt-lightning::before { + content: "\e0b7"; } + +.fa-bomb::before { + content: "\f1e2"; } + +.fa-bone::before { + content: "\f5d7"; } + +.fa-bong::before { + content: "\f55c"; } + +.fa-book::before { + content: "\f02d"; } + +.fa-book-atlas::before { + content: "\f558"; } + +.fa-atlas::before { + content: "\f558"; } + +.fa-book-bible::before { + content: "\f647"; } + +.fa-bible::before { + content: "\f647"; } + +.fa-book-bookmark::before { + content: "\e0bb"; } + +.fa-book-journal-whills::before { + content: "\f66a"; } + +.fa-journal-whills::before { + content: "\f66a"; } + +.fa-book-medical::before { + content: "\f7e6"; } + +.fa-book-open::before { + content: "\f518"; } + +.fa-book-open-reader::before { + content: "\f5da"; } + +.fa-book-reader::before { + content: "\f5da"; } + +.fa-book-quran::before { + content: "\f687"; } + +.fa-quran::before { + content: "\f687"; } + +.fa-book-skull::before { + content: "\f6b7"; } + +.fa-book-dead::before { + content: "\f6b7"; } + +.fa-bookmark::before { + content: "\f02e"; } + +.fa-border-all::before { + content: "\f84c"; } + 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{ + content: "\f1ad"; } + +.fa-building-circle-arrow-right::before { + content: "\e4d1"; } + +.fa-building-circle-check::before { + content: "\e4d2"; } + +.fa-building-circle-exclamation::before { + content: "\e4d3"; } + +.fa-building-circle-xmark::before { + content: "\e4d4"; } + +.fa-building-columns::before { + content: "\f19c"; } + +.fa-bank::before { + content: "\f19c"; } + +.fa-institution::before { + content: "\f19c"; } + +.fa-museum::before { + content: "\f19c"; } + +.fa-university::before { + content: "\f19c"; } + +.fa-building-flag::before { + content: "\e4d5"; } + +.fa-building-lock::before { + content: "\e4d6"; } + +.fa-building-ngo::before { + content: "\e4d7"; } + +.fa-building-shield::before { + content: "\e4d8"; } + +.fa-building-un::before { + content: "\e4d9"; } + +.fa-building-user::before { + content: "\e4da"; } + +.fa-building-wheat::before { + content: "\e4db"; } + +.fa-bullhorn::before { + content: "\f0a1"; } + +.fa-bullseye::before { + content: "\f140"; } + 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} + +.fa-comments-dollar::before { + content: "\f653"; } + +.fa-compact-disc::before { + content: "\f51f"; } + +.fa-compass::before { + content: "\f14e"; } + +.fa-compass-drafting::before { + content: "\f568"; } + +.fa-drafting-compass::before { + content: "\f568"; } + +.fa-compress::before { + content: "\f066"; } + +.fa-computer::before { + content: "\e4e5"; } + +.fa-computer-mouse::before { + content: "\f8cc"; } + +.fa-mouse::before { + content: "\f8cc"; } + +.fa-cookie::before { + content: "\f563"; } + +.fa-cookie-bite::before { + content: "\f564"; } + +.fa-copy::before { + content: "\f0c5"; } + +.fa-copyright::before { + content: "\f1f9"; } + +.fa-couch::before { + content: "\f4b8"; } + +.fa-cow::before { + content: "\f6c8"; } + +.fa-credit-card::before { + content: "\f09d"; } + +.fa-credit-card-alt::before { + content: "\f09d"; } + +.fa-crop::before { + content: "\f125"; } + +.fa-crop-simple::before { + content: "\f565"; } + +.fa-crop-alt::before { + content: "\f565"; } + 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content: "\24"; } + +.fa-usd::before { + content: "\24"; } + +.fa-dolly::before { + content: "\f472"; } + +.fa-dolly-box::before { + content: "\f472"; } + +.fa-dong-sign::before { + content: "\e169"; } + +.fa-door-closed::before { + content: "\f52a"; } + +.fa-door-open::before { + content: "\f52b"; } + +.fa-dove::before { + content: "\f4ba"; } + +.fa-down-left-and-up-right-to-center::before { + content: "\f422"; } + +.fa-compress-alt::before { + content: "\f422"; } + +.fa-down-long::before { + content: "\f309"; } + +.fa-long-arrow-alt-down::before { + content: "\f309"; } + +.fa-download::before { + content: "\f019"; } + +.fa-dragon::before { + content: "\f6d5"; } + +.fa-draw-polygon::before { + content: "\f5ee"; } + +.fa-droplet::before { + content: "\f043"; } + +.fa-tint::before { + content: "\f043"; } + +.fa-droplet-slash::before { + content: "\f5c7"; } + +.fa-tint-slash::before { + content: "\f5c7"; } + +.fa-drum::before { + content: "\f569"; } + +.fa-drum-steelpan::before { + content: "\f56a"; } + +.fa-drumstick-bite::before { + content: "\f6d7"; } + +.fa-dumbbell::before { + content: "\f44b"; } + +.fa-dumpster::before { + content: "\f793"; } + +.fa-dumpster-fire::before { + content: "\f794"; } + +.fa-dungeon::before { + content: "\f6d9"; } + +.fa-e::before { + content: "\45"; } + +.fa-ear-deaf::before { + content: "\f2a4"; } + +.fa-deaf::before { + content: "\f2a4"; } + +.fa-deafness::before { + content: "\f2a4"; } + +.fa-hard-of-hearing::before { + content: "\f2a4"; } + +.fa-ear-listen::before { + content: "\f2a2"; } + +.fa-assistive-listening-systems::before { + content: "\f2a2"; } + +.fa-earth-africa::before { + content: "\f57c"; } + +.fa-globe-africa::before { + content: "\f57c"; } + +.fa-earth-americas::before { + content: "\f57d"; } + +.fa-earth::before { + content: "\f57d"; } + +.fa-earth-america::before { + content: "\f57d"; } + +.fa-globe-americas::before { + content: "\f57d"; } + +.fa-earth-asia::before { + content: "\f57e"; } + +.fa-globe-asia::before { + content: "\f57e"; } + +.fa-earth-europe::before { + content: "\f7a2"; } + +.fa-globe-europe::before { + content: "\f7a2"; } + +.fa-earth-oceania::before { + content: "\e47b"; } + +.fa-globe-oceania::before { + content: "\e47b"; } + +.fa-egg::before { + content: "\f7fb"; } + +.fa-eject::before { + content: "\f052"; } + +.fa-elevator::before { + content: "\e16d"; } + +.fa-ellipsis::before { + content: "\f141"; } + +.fa-ellipsis-h::before { + content: "\f141"; } + +.fa-ellipsis-vertical::before { + content: "\f142"; } + +.fa-ellipsis-v::before { + content: "\f142"; } + +.fa-envelope::before { + content: "\f0e0"; } + +.fa-envelope-circle-check::before { + content: "\e4e8"; } + +.fa-envelope-open::before { + content: "\f2b6"; } + +.fa-envelope-open-text::before { + content: "\f658"; } + +.fa-envelopes-bulk::before { + content: "\f674"; } + +.fa-mail-bulk::before { + content: "\f674"; } + +.fa-equals::before { + content: "\3d"; } + +.fa-eraser::before { + content: "\f12d"; } + +.fa-ethernet::before { + content: "\f796"; } + +.fa-euro-sign::before { + content: "\f153"; } + +.fa-eur::before { + content: "\f153"; } + +.fa-euro::before { + content: "\f153"; } + +.fa-exclamation::before { + content: "\21"; } + +.fa-expand::before { + content: "\f065"; } + +.fa-explosion::before { + content: "\e4e9"; } + +.fa-eye::before { + content: "\f06e"; } + +.fa-eye-dropper::before { + content: "\f1fb"; } + +.fa-eye-dropper-empty::before { + content: "\f1fb"; } + +.fa-eyedropper::before { + content: "\f1fb"; } + +.fa-eye-low-vision::before { + content: "\f2a8"; } + +.fa-low-vision::before { + content: "\f2a8"; } + +.fa-eye-slash::before { + content: "\f070"; } + +.fa-f::before { + content: "\46"; } + +.fa-face-angry::before { + content: "\f556"; } + +.fa-angry::before { + content: "\f556"; } + +.fa-face-dizzy::before { + content: "\f567"; } + +.fa-dizzy::before { + content: "\f567"; } + +.fa-face-flushed::before { + content: "\f579"; } + +.fa-flushed::before { + content: "\f579"; } + +.fa-face-frown::before { + content: "\f119"; } + +.fa-frown::before { + content: "\f119"; } + +.fa-face-frown-open::before { + content: "\f57a"; } + +.fa-frown-open::before { + content: "\f57a"; } + +.fa-face-grimace::before { + content: "\f57f"; } + +.fa-grimace::before { + content: "\f57f"; } + +.fa-face-grin::before { + content: "\f580"; } + +.fa-grin::before { + content: "\f580"; } + +.fa-face-grin-beam::before { + content: "\f582"; } + +.fa-grin-beam::before { + content: "\f582"; } + +.fa-face-grin-beam-sweat::before { + content: "\f583"; } + +.fa-grin-beam-sweat::before { + content: "\f583"; } + +.fa-face-grin-hearts::before { + content: "\f584"; } + +.fa-grin-hearts::before { + content: "\f584"; } + +.fa-face-grin-squint::before { + content: "\f585"; } + +.fa-grin-squint::before { + content: "\f585"; } + +.fa-face-grin-squint-tears::before { + content: "\f586"; } + +.fa-grin-squint-tears::before { + content: "\f586"; } + +.fa-face-grin-stars::before { + content: "\f587"; } + +.fa-grin-stars::before { + content: "\f587"; } + +.fa-face-grin-tears::before { + content: "\f588"; } + +.fa-grin-tears::before { + content: "\f588"; } + +.fa-face-grin-tongue::before { + content: "\f589"; } + +.fa-grin-tongue::before { + content: "\f589"; } + +.fa-face-grin-tongue-squint::before { + content: "\f58a"; } + +.fa-grin-tongue-squint::before { + content: "\f58a"; } + +.fa-face-grin-tongue-wink::before { + content: "\f58b"; } + +.fa-grin-tongue-wink::before { + content: "\f58b"; } + +.fa-face-grin-wide::before { + content: "\f581"; } + +.fa-grin-alt::before { + content: "\f581"; } + +.fa-face-grin-wink::before { + content: "\f58c"; } + +.fa-grin-wink::before { + content: "\f58c"; } + +.fa-face-kiss::before { + content: "\f596"; } + +.fa-kiss::before { + content: "\f596"; } + +.fa-face-kiss-beam::before { + content: "\f597"; } + +.fa-kiss-beam::before { + content: "\f597"; } + +.fa-face-kiss-wink-heart::before { + content: "\f598"; } + +.fa-kiss-wink-heart::before { + content: "\f598"; } + +.fa-face-laugh::before { + content: "\f599"; } + +.fa-laugh::before { + content: "\f599"; } + +.fa-face-laugh-beam::before { + content: "\f59a"; } + +.fa-laugh-beam::before { + content: "\f59a"; } + +.fa-face-laugh-squint::before { + content: "\f59b"; } + +.fa-laugh-squint::before { + content: "\f59b"; } + +.fa-face-laugh-wink::before { + content: "\f59c"; } + +.fa-laugh-wink::before { + content: "\f59c"; } + +.fa-face-meh::before { + content: "\f11a"; } + +.fa-meh::before { + content: "\f11a"; } + +.fa-face-meh-blank::before { + content: "\f5a4"; } + +.fa-meh-blank::before { + content: "\f5a4"; } + +.fa-face-rolling-eyes::before { + content: "\f5a5"; } + +.fa-meh-rolling-eyes::before { + content: "\f5a5"; } + +.fa-face-sad-cry::before { + content: "\f5b3"; } + +.fa-sad-cry::before { + content: "\f5b3"; } + +.fa-face-sad-tear::before { + content: "\f5b4"; } + +.fa-sad-tear::before { + content: "\f5b4"; } + +.fa-face-smile::before { + content: "\f118"; } + +.fa-smile::before { + content: "\f118"; } + +.fa-face-smile-beam::before { + content: "\f5b8"; } + +.fa-smile-beam::before { + content: "\f5b8"; } + +.fa-face-smile-wink::before { + content: "\f4da"; } + +.fa-smile-wink::before { + content: "\f4da"; } + +.fa-face-surprise::before { + content: "\f5c2"; } + +.fa-surprise::before { + content: "\f5c2"; } + +.fa-face-tired::before { + content: "\f5c8"; } + +.fa-tired::before { + content: "\f5c8"; } + +.fa-fan::before { + content: "\f863"; } + +.fa-faucet::before { + content: "\e005"; } + +.fa-faucet-drip::before { + content: "\e006"; } + +.fa-fax::before { + content: "\f1ac"; } + +.fa-feather::before { + content: "\f52d"; } + +.fa-feather-pointed::before { + content: "\f56b"; } + +.fa-feather-alt::before { + content: "\f56b"; } + +.fa-ferry::before { + content: "\e4ea"; } + +.fa-file::before { + content: "\f15b"; } + +.fa-file-arrow-down::before { + content: "\f56d"; } + +.fa-file-download::before { + content: "\f56d"; } + +.fa-file-arrow-up::before { + content: "\f574"; } + +.fa-file-upload::before { + content: "\f574"; } + +.fa-file-audio::before { + content: "\f1c7"; } + +.fa-file-circle-check::before { + content: "\e493"; } + +.fa-file-circle-exclamation::before { + content: "\e4eb"; } + +.fa-file-circle-minus::before { + content: "\e4ed"; } + +.fa-file-circle-plus::before { + content: "\e4ee"; } + +.fa-file-circle-question::before { + content: "\e4ef"; } + +.fa-file-circle-xmark::before { + content: "\e494"; } + +.fa-file-code::before { + content: "\f1c9"; } + +.fa-file-contract::before { + content: "\f56c"; } + +.fa-file-csv::before { + content: "\f6dd"; } + +.fa-file-excel::before { + content: "\f1c3"; } + +.fa-file-export::before { + content: "\f56e"; } + +.fa-arrow-right-from-file::before { + content: "\f56e"; } + +.fa-file-image::before { + content: "\f1c5"; } + +.fa-file-import::before { + content: "\f56f"; } + +.fa-arrow-right-to-file::before { + content: "\f56f"; } + +.fa-file-invoice::before { + content: "\f570"; } + +.fa-file-invoice-dollar::before { + content: "\f571"; } + +.fa-file-lines::before { + content: "\f15c"; } + +.fa-file-alt::before { + content: "\f15c"; } + +.fa-file-text::before { + content: "\f15c"; } + +.fa-file-medical::before { + content: "\f477"; } + +.fa-file-pdf::before { + content: "\f1c1"; } + +.fa-file-pen::before { + content: "\f31c"; } + +.fa-file-edit::before { + content: "\f31c"; } + +.fa-file-powerpoint::before { + content: "\f1c4"; } + +.fa-file-prescription::before { + content: "\f572"; } + +.fa-file-shield::before { + content: "\e4f0"; } + +.fa-file-signature::before { + content: "\f573"; } + +.fa-file-video::before { + content: "\f1c8"; } + +.fa-file-waveform::before { + content: "\f478"; } + +.fa-file-medical-alt::before { + content: "\f478"; } + +.fa-file-word::before { + content: "\f1c2"; } + +.fa-file-zipper::before { + content: "\f1c6"; } + +.fa-file-archive::before { + content: "\f1c6"; } + +.fa-fill::before { + content: "\f575"; } + +.fa-fill-drip::before { + content: "\f576"; } + +.fa-film::before { + content: "\f008"; } + +.fa-filter::before { + content: "\f0b0"; } + +.fa-filter-circle-dollar::before { + content: "\f662"; } + +.fa-funnel-dollar::before { + content: "\f662"; } + +.fa-filter-circle-xmark::before { + content: "\e17b"; } + +.fa-fingerprint::before { + content: "\f577"; } + +.fa-fire::before { + content: "\f06d"; } + +.fa-fire-burner::before { + content: "\e4f1"; } + +.fa-fire-extinguisher::before { + content: "\f134"; } + +.fa-fire-flame-curved::before { + content: "\f7e4"; } + +.fa-fire-alt::before { + content: "\f7e4"; } + +.fa-fire-flame-simple::before { + content: "\f46a"; } + +.fa-burn::before { + content: "\f46a"; } + +.fa-fish::before { + content: "\f578"; } + +.fa-fish-fins::before { + content: "\e4f2"; } + +.fa-flag::before { + content: "\f024"; } + +.fa-flag-checkered::before { + content: "\f11e"; } + +.fa-flag-usa::before { + content: "\f74d"; } + +.fa-flask::before { + content: "\f0c3"; } + +.fa-flask-vial::before { + content: "\e4f3"; } + +.fa-floppy-disk::before { + content: "\f0c7"; } + +.fa-save::before { + content: "\f0c7"; } + +.fa-florin-sign::before { + content: "\e184"; } + +.fa-folder::before { + content: "\f07b"; } + +.fa-folder-blank::before { + content: "\f07b"; } + +.fa-folder-closed::before { + content: "\e185"; } + +.fa-folder-minus::before { + content: "\f65d"; } + +.fa-folder-open::before { + content: "\f07c"; } + +.fa-folder-plus::before { + content: "\f65e"; } + +.fa-folder-tree::before { + content: "\f802"; } + +.fa-font::before { + content: "\f031"; } + +.fa-football::before { + content: "\f44e"; } + +.fa-football-ball::before { + content: "\f44e"; } + +.fa-forward::before { + content: "\f04e"; } + +.fa-forward-fast::before { + content: "\f050"; } + +.fa-fast-forward::before { + content: "\f050"; } + +.fa-forward-step::before { + content: "\f051"; } + +.fa-step-forward::before { + content: "\f051"; } + +.fa-franc-sign::before { + content: "\e18f"; } + +.fa-frog::before { + content: "\f52e"; } + +.fa-futbol::before { + content: "\f1e3"; } + +.fa-futbol-ball::before { + content: "\f1e3"; } + +.fa-soccer-ball::before { + content: "\f1e3"; } + +.fa-g::before { + content: "\47"; } + +.fa-gamepad::before { + content: "\f11b"; } + +.fa-gas-pump::before { + content: "\f52f"; } + +.fa-gauge::before { + content: "\f624"; } + +.fa-dashboard::before { + content: "\f624"; } + +.fa-gauge-med::before { + content: "\f624"; } + +.fa-tachometer-alt-average::before { + content: "\f624"; } + +.fa-gauge-high::before { + content: "\f625"; } + +.fa-tachometer-alt::before { + content: "\f625"; } + +.fa-tachometer-alt-fast::before { + content: "\f625"; } + +.fa-gauge-simple::before { + content: "\f629"; } + +.fa-gauge-simple-med::before { + content: "\f629"; } + +.fa-tachometer-average::before { + content: "\f629"; } + +.fa-gauge-simple-high::before { + content: "\f62a"; } + +.fa-tachometer::before { + content: "\f62a"; } + +.fa-tachometer-fast::before { + content: "\f62a"; } + +.fa-gavel::before { + content: "\f0e3"; } + +.fa-legal::before { + content: "\f0e3"; } + +.fa-gear::before { + content: "\f013"; } + +.fa-cog::before { + content: "\f013"; } + +.fa-gears::before { + content: "\f085"; } + +.fa-cogs::before { + content: "\f085"; } + +.fa-gem::before { + content: "\f3a5"; } + +.fa-genderless::before { + content: "\f22d"; } + +.fa-ghost::before { + content: "\f6e2"; } + +.fa-gift::before { + content: "\f06b"; } + +.fa-gifts::before { + content: "\f79c"; } + +.fa-glass-water::before { + content: "\e4f4"; } + +.fa-glass-water-droplet::before { + content: "\e4f5"; } + +.fa-glasses::before { + content: "\f530"; } + +.fa-globe::before { + content: "\f0ac"; } + +.fa-golf-ball-tee::before { + content: "\f450"; } + +.fa-golf-ball::before { + content: "\f450"; } + +.fa-gopuram::before { + content: "\f664"; } + +.fa-graduation-cap::before { + content: "\f19d"; } + +.fa-mortar-board::before { + content: "\f19d"; } + +.fa-greater-than::before { + content: "\3e"; } + +.fa-greater-than-equal::before { + content: "\f532"; } + +.fa-grip::before { + content: "\f58d"; } + +.fa-grip-horizontal::before { + content: "\f58d"; } + +.fa-grip-lines::before { + content: "\f7a4"; } + +.fa-grip-lines-vertical::before { + content: "\f7a5"; } + +.fa-grip-vertical::before { + content: "\f58e"; } + +.fa-group-arrows-rotate::before { + content: "\e4f6"; } + +.fa-guarani-sign::before { + content: "\e19a"; } + +.fa-guitar::before { + content: "\f7a6"; } + +.fa-gun::before { + content: "\e19b"; } + +.fa-h::before { + content: "\48"; } + +.fa-hammer::before { + content: "\f6e3"; } + +.fa-hamsa::before { + content: "\f665"; } + +.fa-hand::before { + content: "\f256"; } + +.fa-hand-paper::before { + content: "\f256"; } + +.fa-hand-back-fist::before { + content: "\f255"; } + +.fa-hand-rock::before { + content: "\f255"; } + +.fa-hand-dots::before { + content: "\f461"; } + +.fa-allergies::before { + content: "\f461"; } + +.fa-hand-fist::before { + content: "\f6de"; } + +.fa-fist-raised::before { + content: "\f6de"; } + +.fa-hand-holding::before { + content: "\f4bd"; } + +.fa-hand-holding-dollar::before { + content: "\f4c0"; } + +.fa-hand-holding-usd::before { + content: "\f4c0"; } + +.fa-hand-holding-droplet::before { + content: "\f4c1"; } + +.fa-hand-holding-water::before { + content: "\f4c1"; } + +.fa-hand-holding-hand::before { + content: "\e4f7"; } + +.fa-hand-holding-heart::before { + content: "\f4be"; } + +.fa-hand-holding-medical::before { + content: "\e05c"; } + +.fa-hand-lizard::before { + content: "\f258"; } + +.fa-hand-middle-finger::before { + content: "\f806"; } + +.fa-hand-peace::before { + content: "\f25b"; } + +.fa-hand-point-down::before { + content: "\f0a7"; } + +.fa-hand-point-left::before { + content: "\f0a5"; } + +.fa-hand-point-right::before { + content: "\f0a4"; } + +.fa-hand-point-up::before { + content: "\f0a6"; } + +.fa-hand-pointer::before { + content: "\f25a"; } + +.fa-hand-scissors::before { + content: "\f257"; } + +.fa-hand-sparkles::before { + content: "\e05d"; } + +.fa-hand-spock::before { + content: "\f259"; } + +.fa-handcuffs::before { + content: "\e4f8"; } + +.fa-hands::before { + content: "\f2a7"; } + +.fa-sign-language::before { + content: "\f2a7"; } + +.fa-signing::before { + content: "\f2a7"; } + +.fa-hands-asl-interpreting::before { + content: "\f2a3"; } + +.fa-american-sign-language-interpreting::before { + content: "\f2a3"; } + +.fa-asl-interpreting::before { + content: "\f2a3"; } + +.fa-hands-american-sign-language-interpreting::before { + content: "\f2a3"; } + +.fa-hands-bound::before { + content: "\e4f9"; } + +.fa-hands-bubbles::before { + content: "\e05e"; } + +.fa-hands-wash::before { + content: "\e05e"; } + +.fa-hands-clapping::before { + content: "\e1a8"; } + +.fa-hands-holding::before { + content: "\f4c2"; } + +.fa-hands-holding-child::before { + content: "\e4fa"; } + +.fa-hands-holding-circle::before { + content: "\e4fb"; } + +.fa-hands-praying::before { + content: "\f684"; } + +.fa-praying-hands::before { + content: "\f684"; } + +.fa-handshake::before { + content: "\f2b5"; } + +.fa-handshake-angle::before { + content: "\f4c4"; } + +.fa-hands-helping::before { + content: "\f4c4"; } + +.fa-handshake-simple::before { + content: "\f4c6"; } + +.fa-handshake-alt::before { + content: "\f4c6"; } + +.fa-handshake-simple-slash::before { + content: "\e05f"; } + +.fa-handshake-alt-slash::before { + content: "\e05f"; } + +.fa-handshake-slash::before { + content: "\e060"; } + +.fa-hanukiah::before { + content: "\f6e6"; } + +.fa-hard-drive::before { + content: "\f0a0"; } + +.fa-hdd::before { + content: "\f0a0"; } + +.fa-hashtag::before { + content: "\23"; } + +.fa-hat-cowboy::before { + content: "\f8c0"; } + +.fa-hat-cowboy-side::before { + content: "\f8c1"; } + +.fa-hat-wizard::before { + content: "\f6e8"; } + +.fa-head-side-cough::before { + content: "\e061"; } + +.fa-head-side-cough-slash::before { + content: "\e062"; } + +.fa-head-side-mask::before { + content: "\e063"; } + +.fa-head-side-virus::before { + content: "\e064"; } + +.fa-heading::before { + content: "\f1dc"; } + +.fa-header::before { + content: "\f1dc"; } + +.fa-headphones::before { + content: "\f025"; } + +.fa-headphones-simple::before { + content: "\f58f"; } + +.fa-headphones-alt::before { + content: "\f58f"; } + +.fa-headset::before { + content: "\f590"; } + +.fa-heart::before { + content: "\f004"; } + +.fa-heart-circle-bolt::before { + content: "\e4fc"; } + +.fa-heart-circle-check::before { + content: "\e4fd"; } + +.fa-heart-circle-exclamation::before { + content: "\e4fe"; } + +.fa-heart-circle-minus::before { + content: "\e4ff"; } + +.fa-heart-circle-plus::before { + content: "\e500"; } + +.fa-heart-circle-xmark::before { + content: "\e501"; } + +.fa-heart-crack::before { + content: "\f7a9"; } + +.fa-heart-broken::before { + content: "\f7a9"; } + +.fa-heart-pulse::before { + content: "\f21e"; } + 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content: "\f593"; } + +.fa-hot-tub::before { + content: "\f593"; } + +.fa-hotdog::before { + content: "\f80f"; } + +.fa-hotel::before { + content: "\f594"; } + +.fa-hourglass::before { + content: "\f254"; } + +.fa-hourglass-2::before { + content: "\f254"; } + +.fa-hourglass-half::before { + content: "\f254"; } + +.fa-hourglass-empty::before { + content: "\f252"; } + +.fa-hourglass-end::before { + content: "\f253"; } + +.fa-hourglass-3::before { + content: "\f253"; } + +.fa-hourglass-start::before { + content: "\f251"; } + +.fa-hourglass-1::before { + content: "\f251"; } + +.fa-house::before { + content: "\f015"; } + +.fa-home::before { + content: "\f015"; } + +.fa-home-alt::before { + content: "\f015"; } + +.fa-home-lg-alt::before { + content: "\f015"; } + +.fa-house-chimney::before { + content: "\e3af"; } + +.fa-home-lg::before { + content: "\e3af"; } + +.fa-house-chimney-crack::before { + content: "\f6f1"; } + +.fa-house-damage::before { + content: "\f6f1"; } + 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+.fa-house-medical-circle-exclamation::before { + content: "\e512"; } + +.fa-house-medical-circle-xmark::before { + content: "\e513"; } + +.fa-house-medical-flag::before { + content: "\e514"; } + +.fa-house-signal::before { + content: "\e012"; } + +.fa-house-tsunami::before { + content: "\e515"; } + +.fa-house-user::before { + content: "\e1b0"; } + +.fa-home-user::before { + content: "\e1b0"; } + +.fa-hryvnia-sign::before { + content: "\f6f2"; } + +.fa-hryvnia::before { + content: "\f6f2"; } + +.fa-hurricane::before { + content: "\f751"; } + +.fa-i::before { + content: "\49"; } + +.fa-i-cursor::before { + content: "\f246"; } + +.fa-ice-cream::before { + content: "\f810"; } + +.fa-icicles::before { + content: "\f7ad"; } + +.fa-icons::before { + content: "\f86d"; } + +.fa-heart-music-camera-bolt::before { + content: "\f86d"; } + +.fa-id-badge::before { + content: "\f2c1"; } + +.fa-id-card::before { + content: "\f2c2"; } + +.fa-drivers-license::before { + content: "\f2c2"; } + 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+.fa-fighter-jet::before { + content: "\f0fb"; } + +.fa-jet-fighter-up::before { + content: "\e518"; } + +.fa-joint::before { + content: "\f595"; } + +.fa-jug-detergent::before { + content: "\e519"; } + +.fa-k::before { + content: "\4b"; } + +.fa-kaaba::before { + content: "\f66b"; } + +.fa-key::before { + content: "\f084"; } + +.fa-keyboard::before { + content: "\f11c"; } + +.fa-khanda::before { + content: "\f66d"; } + +.fa-kip-sign::before { + content: "\e1c4"; } + +.fa-kit-medical::before { + content: "\f479"; } + +.fa-first-aid::before { + content: "\f479"; } + +.fa-kitchen-set::before { + content: "\e51a"; } + +.fa-kiwi-bird::before { + content: "\f535"; } + +.fa-l::before { + content: "\4c"; } + +.fa-land-mine-on::before { + content: "\e51b"; } + +.fa-landmark::before { + content: "\f66f"; } + +.fa-landmark-dome::before { + content: "\f752"; } + +.fa-landmark-alt::before { + content: "\f752"; } + +.fa-landmark-flag::before { + content: "\e51c"; } + +.fa-language::before { + content: "\f1ab"; } + +.fa-laptop::before { + content: "\f109"; } + +.fa-laptop-code::before { + content: "\f5fc"; } + +.fa-laptop-file::before { + content: "\e51d"; } + +.fa-laptop-medical::before { + content: "\f812"; } + +.fa-lari-sign::before { + content: "\e1c8"; } + +.fa-layer-group::before { + content: "\f5fd"; } + +.fa-leaf::before { + content: "\f06c"; } + +.fa-left-long::before { + content: "\f30a"; } + +.fa-long-arrow-alt-left::before { + content: "\f30a"; } + +.fa-left-right::before { + content: "\f337"; } + +.fa-arrows-alt-h::before { + content: "\f337"; } + +.fa-lemon::before { + content: "\f094"; } + +.fa-less-than::before { + content: "\3c"; } + +.fa-less-than-equal::before { + content: "\f537"; } + +.fa-life-ring::before { + content: "\f1cd"; } + +.fa-lightbulb::before { + content: "\f0eb"; } + +.fa-lines-leaning::before { + content: "\e51e"; } + +.fa-link::before { + content: "\f0c1"; } + +.fa-chain::before { + content: "\f0c1"; } + +.fa-link-slash::before { + content: "\f127"; } + +.fa-chain-broken::before { + content: "\f127"; } + +.fa-chain-slash::before { + content: "\f127"; } + +.fa-unlink::before { + content: "\f127"; } + +.fa-lira-sign::before { + content: "\f195"; } + +.fa-list::before { + content: "\f03a"; } + +.fa-list-squares::before { + content: "\f03a"; } + +.fa-list-check::before { + content: "\f0ae"; } + +.fa-tasks::before { + content: "\f0ae"; } + +.fa-list-ol::before { + content: "\f0cb"; } + +.fa-list-1-2::before { + content: "\f0cb"; } + +.fa-list-numeric::before { + content: "\f0cb"; } + +.fa-list-ul::before { + content: "\f0ca"; } + +.fa-list-dots::before { + content: "\f0ca"; } + +.fa-litecoin-sign::before { + content: "\e1d3"; } + +.fa-location-arrow::before { + content: "\f124"; } + +.fa-location-crosshairs::before { + content: "\f601"; } + +.fa-location::before { + content: "\f601"; } + +.fa-location-dot::before { + content: "\f3c5"; } + +.fa-map-marker-alt::before { + content: "\f3c5"; } + +.fa-location-pin::before { + content: "\f041"; } + +.fa-map-marker::before { + content: "\f041"; } + +.fa-location-pin-lock::before { + content: "\e51f"; } + +.fa-lock::before { + content: "\f023"; } + +.fa-lock-open::before { + content: "\f3c1"; } + +.fa-locust::before { + content: "\e520"; } + +.fa-lungs::before { + content: "\f604"; } + +.fa-lungs-virus::before { + content: "\e067"; } + +.fa-m::before { + content: "\4d"; } + +.fa-magnet::before { + content: "\f076"; } + +.fa-magnifying-glass::before { + content: "\f002"; } + +.fa-search::before { + content: "\f002"; } + +.fa-magnifying-glass-arrow-right::before { + content: "\e521"; } + +.fa-magnifying-glass-chart::before { + content: "\e522"; } + +.fa-magnifying-glass-dollar::before { + content: "\f688"; } + +.fa-search-dollar::before { + content: "\f688"; } + +.fa-magnifying-glass-location::before { + content: "\f689"; } + +.fa-search-location::before { + content: "\f689"; } + +.fa-magnifying-glass-minus::before { + content: "\f010"; } + 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+ +.fa-pallet::before { + content: "\f482"; } + +.fa-panorama::before { + content: "\e209"; } + +.fa-paper-plane::before { + content: "\f1d8"; } + +.fa-paperclip::before { + content: "\f0c6"; } + +.fa-parachute-box::before { + content: "\f4cd"; } + +.fa-paragraph::before { + content: "\f1dd"; } + +.fa-passport::before { + content: "\f5ab"; } + +.fa-paste::before { + content: "\f0ea"; } + +.fa-file-clipboard::before { + content: "\f0ea"; } + +.fa-pause::before { + content: "\f04c"; } + +.fa-paw::before { + content: "\f1b0"; } + +.fa-peace::before { + content: "\f67c"; } + +.fa-pen::before { + content: "\f304"; } + +.fa-pen-clip::before { + content: "\f305"; } + +.fa-pen-alt::before { + content: "\f305"; } + +.fa-pen-fancy::before { + content: "\f5ac"; } + +.fa-pen-nib::before { + content: "\f5ad"; } + +.fa-pen-ruler::before { + content: "\f5ae"; } + +.fa-pencil-ruler::before { + content: "\f5ae"; } + +.fa-pen-to-square::before { + content: "\f044"; } + +.fa-edit::before { + content: "\f044"; } + +.fa-pencil::before { + content: "\f303"; } + +.fa-pencil-alt::before { + content: "\f303"; } + +.fa-people-arrows-left-right::before { + content: "\e068"; } + +.fa-people-arrows::before { + content: "\e068"; } + +.fa-people-carry-box::before { + content: "\f4ce"; } + +.fa-people-carry::before { + content: "\f4ce"; } + +.fa-people-group::before { + content: "\e533"; } + +.fa-people-line::before { + content: "\e534"; } + +.fa-people-pulling::before { + content: "\e535"; } + +.fa-people-robbery::before { + content: "\e536"; } + +.fa-people-roof::before { + content: "\e537"; } + +.fa-pepper-hot::before { + content: "\f816"; } + +.fa-percent::before { + content: "\25"; } + +.fa-percentage::before { + content: "\25"; } + +.fa-person::before { + content: "\f183"; } + +.fa-male::before { + content: "\f183"; } + +.fa-person-arrow-down-to-line::before { + content: "\e538"; } + +.fa-person-arrow-up-from-line::before { + content: "\e539"; } + +.fa-person-biking::before { + content: "\f84a"; } + +.fa-biking::before { + content: "\f84a"; } + +.fa-person-booth::before { + content: "\f756"; } + +.fa-person-breastfeeding::before { + content: "\e53a"; } + +.fa-person-burst::before { + content: "\e53b"; } + +.fa-person-cane::before { + content: "\e53c"; } + +.fa-person-chalkboard::before { + content: "\e53d"; } + +.fa-person-circle-check::before { + content: "\e53e"; } + +.fa-person-circle-exclamation::before { + content: "\e53f"; } + +.fa-person-circle-minus::before { + content: "\e540"; } + +.fa-person-circle-plus::before { + content: "\e541"; } + +.fa-person-circle-question::before { + content: "\e542"; } + +.fa-person-circle-xmark::before { + content: "\e543"; } + +.fa-person-digging::before { + content: "\f85e"; } + +.fa-digging::before { + content: "\f85e"; } + +.fa-person-dots-from-line::before { + content: "\f470"; } + +.fa-diagnoses::before { + content: "\f470"; } + +.fa-person-dress::before { + content: "\f182"; } + +.fa-female::before { + content: "\f182"; } 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content: "\e554"; } + +.fa-person-walking-with-cane::before { + content: "\f29d"; } + +.fa-blind::before { + content: "\f29d"; } + +.fa-peseta-sign::before { + content: "\e221"; } + +.fa-peso-sign::before { + content: "\e222"; } + +.fa-phone::before { + content: "\f095"; } + +.fa-phone-flip::before { + content: "\f879"; } + +.fa-phone-alt::before { + content: "\f879"; } + +.fa-phone-slash::before { + content: "\f3dd"; } + +.fa-phone-volume::before { + content: "\f2a0"; } + +.fa-volume-control-phone::before { + content: "\f2a0"; } + +.fa-photo-film::before { + content: "\f87c"; } + +.fa-photo-video::before { + content: "\f87c"; } + +.fa-piggy-bank::before { + content: "\f4d3"; } + +.fa-pills::before { + content: "\f484"; } + +.fa-pizza-slice::before { + content: "\f818"; } + +.fa-place-of-worship::before { + content: "\f67f"; } + +.fa-plane::before { + content: "\f072"; } + +.fa-plane-arrival::before { + content: "\f5af"; } + +.fa-plane-circle-check::before { + content: "\e555"; } + 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} + +.fa-quote-right-alt::before { + content: "\f10e"; } + +.fa-r::before { + content: "\52"; } + +.fa-radiation::before { + content: "\f7b9"; } + +.fa-radio::before { + content: "\f8d7"; } + +.fa-rainbow::before { + content: "\f75b"; } + +.fa-ranking-star::before { + content: "\e561"; } + +.fa-receipt::before { + content: "\f543"; } + +.fa-record-vinyl::before { + content: "\f8d9"; } + +.fa-rectangle-ad::before { + content: "\f641"; } + +.fa-ad::before { + content: "\f641"; } + +.fa-rectangle-list::before { + content: "\f022"; } + +.fa-list-alt::before { + content: "\f022"; } + +.fa-rectangle-xmark::before { + content: "\f410"; } + +.fa-rectangle-times::before { + content: "\f410"; } + +.fa-times-rectangle::before { + content: "\f410"; } + +.fa-window-close::before { + content: "\f410"; } + +.fa-recycle::before { + content: "\f1b8"; } + +.fa-registered::before { + content: "\f25d"; } + +.fa-repeat::before { + content: "\f363"; } + +.fa-reply::before { + content: "\f3e5"; } + 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content: "\e564"; } + +.fa-road-circle-exclamation::before { + content: "\e565"; } + +.fa-road-circle-xmark::before { + content: "\e566"; } + +.fa-road-lock::before { + content: "\e567"; } + +.fa-road-spikes::before { + content: "\e568"; } + +.fa-robot::before { + content: "\f544"; } + +.fa-rocket::before { + content: "\f135"; } + +.fa-rotate::before { + content: "\f2f1"; } + +.fa-sync-alt::before { + content: "\f2f1"; } + +.fa-rotate-left::before { + content: "\f2ea"; } + +.fa-rotate-back::before { + content: "\f2ea"; } + +.fa-rotate-backward::before { + content: "\f2ea"; } + +.fa-undo-alt::before { + content: "\f2ea"; } + +.fa-rotate-right::before { + content: "\f2f9"; } + +.fa-redo-alt::before { + content: "\f2f9"; } + +.fa-rotate-forward::before { + content: "\f2f9"; } + +.fa-route::before { + content: "\f4d7"; } + +.fa-rss::before { + content: "\f09e"; } + +.fa-feed::before { + content: "\f09e"; } + +.fa-ruble-sign::before { + content: "\f158"; } + +.fa-rouble::before { + content: 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"\f515"; } + +.fa-scale-unbalanced-flip::before { + content: "\f516"; } + +.fa-balance-scale-right::before { + content: "\f516"; } + +.fa-school::before { + content: "\f549"; } + +.fa-school-circle-check::before { + content: "\e56b"; } + +.fa-school-circle-exclamation::before { + content: "\e56c"; } + +.fa-school-circle-xmark::before { + content: "\e56d"; } + +.fa-school-flag::before { + content: "\e56e"; } + +.fa-school-lock::before { + content: "\e56f"; } + +.fa-scissors::before { + content: "\f0c4"; } + +.fa-cut::before { + content: "\f0c4"; } + +.fa-screwdriver::before { + content: "\f54a"; } + +.fa-screwdriver-wrench::before { + content: "\f7d9"; } + +.fa-tools::before { + content: "\f7d9"; } + +.fa-scroll::before { + content: "\f70e"; } + +.fa-scroll-torah::before { + content: "\f6a0"; } + +.fa-torah::before { + content: "\f6a0"; } + +.fa-sd-card::before { + content: "\f7c2"; } + +.fa-section::before { + content: "\e447"; } + +.fa-seedling::before { + content: "\f4d8"; } + 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content: "\e579"; } + +.fa-stairs::before { + content: "\e289"; } + +.fa-stamp::before { + content: "\f5bf"; } + +.fa-star::before { + content: "\f005"; } + +.fa-star-and-crescent::before { + content: "\f699"; } + +.fa-star-half::before { + content: "\f089"; } + +.fa-star-half-stroke::before { + content: "\f5c0"; } + +.fa-star-half-alt::before { + content: "\f5c0"; } + +.fa-star-of-david::before { + content: "\f69a"; } + +.fa-star-of-life::before { + content: "\f621"; } + +.fa-sterling-sign::before { + content: "\f154"; } + +.fa-gbp::before { + content: "\f154"; } + +.fa-pound-sign::before { + content: "\f154"; } + +.fa-stethoscope::before { + content: "\f0f1"; } + +.fa-stop::before { + content: "\f04d"; } + +.fa-stopwatch::before { + content: "\f2f2"; } + +.fa-stopwatch-20::before { + content: "\e06f"; } + +.fa-store::before { + content: "\f54e"; } + +.fa-store-slash::before { + content: "\e071"; } + +.fa-street-view::before { + content: "\f21d"; } + +.fa-strikethrough::before { + content: "\f0cc"; } + +.fa-stroopwafel::before { + content: "\f551"; } + +.fa-subscript::before { + content: "\f12c"; } + +.fa-suitcase::before { + content: "\f0f2"; } + +.fa-suitcase-medical::before { + content: "\f0fa"; } + +.fa-medkit::before { + content: "\f0fa"; } + +.fa-suitcase-rolling::before { + content: "\f5c1"; } + +.fa-sun::before { + content: "\f185"; } + +.fa-sun-plant-wilt::before { + content: "\e57a"; } + +.fa-superscript::before { + content: "\f12b"; } + +.fa-swatchbook::before { + content: "\f5c3"; } + +.fa-synagogue::before { + content: "\f69b"; } + +.fa-syringe::before { + content: "\f48e"; } + +.fa-t::before { + content: "\54"; } + +.fa-table::before { + content: "\f0ce"; } + +.fa-table-cells::before { + content: "\f00a"; } + +.fa-th::before { + content: "\f00a"; } + +.fa-table-cells-large::before { + content: "\f009"; } + +.fa-th-large::before { + content: "\f009"; } + +.fa-table-columns::before { + content: "\f0db"; } + +.fa-columns::before { + content: "\f0db"; } + +.fa-table-list::before { + content: "\f00b"; } + +.fa-th-list::before { + content: "\f00b"; } + +.fa-table-tennis-paddle-ball::before { + content: "\f45d"; } + +.fa-ping-pong-paddle-ball::before { + content: "\f45d"; } + +.fa-table-tennis::before { + content: "\f45d"; } + +.fa-tablet::before { + content: "\f3fb"; } + +.fa-tablet-android::before { + content: "\f3fb"; } + +.fa-tablet-button::before { + content: "\f10a"; } + +.fa-tablet-screen-button::before { + content: "\f3fa"; } + +.fa-tablet-alt::before { + content: "\f3fa"; } + +.fa-tablets::before { + content: "\f490"; } + +.fa-tachograph-digital::before { + content: "\f566"; } + +.fa-digital-tachograph::before { + content: "\f566"; } + +.fa-tag::before { + content: "\f02b"; } + +.fa-tags::before { + content: "\f02c"; } + +.fa-tape::before { + content: "\f4db"; } + +.fa-tarp::before { + content: "\e57b"; } + +.fa-tarp-droplet::before { + content: "\e57c"; } + +.fa-taxi::before { + content: "\f1ba"; } + +.fa-cab::before { + content: "\f1ba"; } + +.fa-teeth::before { + content: "\f62e"; } + +.fa-teeth-open::before { + content: "\f62f"; } + +.fa-temperature-arrow-down::before { + content: "\e03f"; } + +.fa-temperature-down::before { + content: "\e03f"; } + +.fa-temperature-arrow-up::before { + content: "\e040"; } + +.fa-temperature-up::before { + content: "\e040"; } + +.fa-temperature-empty::before { + content: "\f2cb"; } + +.fa-temperature-0::before { + content: "\f2cb"; } + +.fa-thermometer-0::before { + content: "\f2cb"; } + +.fa-thermometer-empty::before { + content: "\f2cb"; } + +.fa-temperature-full::before { + content: "\f2c7"; } + +.fa-temperature-4::before { + content: "\f2c7"; } + +.fa-thermometer-4::before { + content: "\f2c7"; } + +.fa-thermometer-full::before { + content: "\f2c7"; } + +.fa-temperature-half::before { + content: "\f2c9"; } + +.fa-temperature-2::before { + content: "\f2c9"; } + +.fa-thermometer-2::before { + content: "\f2c9"; } + +.fa-thermometer-half::before { + content: "\f2c9"; } + +.fa-temperature-high::before { + content: "\f769"; } + +.fa-temperature-low::before { + content: "\f76b"; } + +.fa-temperature-quarter::before { + content: "\f2ca"; } + +.fa-temperature-1::before { + content: "\f2ca"; } + +.fa-thermometer-1::before { + content: "\f2ca"; } + +.fa-thermometer-quarter::before { + content: "\f2ca"; } + +.fa-temperature-three-quarters::before { + content: "\f2c8"; } + +.fa-temperature-3::before { + content: "\f2c8"; } + +.fa-thermometer-3::before { + content: "\f2c8"; } + +.fa-thermometer-three-quarters::before { + content: "\f2c8"; } + +.fa-tenge-sign::before { + content: "\f7d7"; } + +.fa-tenge::before { + content: "\f7d7"; } + +.fa-tent::before { + content: "\e57d"; } + +.fa-tent-arrow-down-to-line::before { + content: "\e57e"; } + +.fa-tent-arrow-left-right::before { + content: "\e57f"; } + +.fa-tent-arrow-turn-left::before { + content: "\e580"; } + +.fa-tent-arrows-down::before { + content: "\e581"; } + +.fa-tents::before { + content: "\e582"; } + +.fa-terminal::before { + content: "\f120"; } + +.fa-text-height::before { + content: "\f034"; } + +.fa-text-slash::before { + content: "\f87d"; } + +.fa-remove-format::before { + content: "\f87d"; } + +.fa-text-width::before { + content: "\f035"; } + +.fa-thermometer::before { + content: "\f491"; } + +.fa-thumbs-down::before { + content: "\f165"; } + +.fa-thumbs-up::before { + content: "\f164"; } + +.fa-thumbtack::before { + content: "\f08d"; } + +.fa-thumb-tack::before { + content: "\f08d"; } + +.fa-ticket::before { + content: "\f145"; } + +.fa-ticket-simple::before { + content: "\f3ff"; } + +.fa-ticket-alt::before { + content: "\f3ff"; } + +.fa-timeline::before { + content: "\e29c"; } + +.fa-toggle-off::before { + content: "\f204"; } + +.fa-toggle-on::before { + content: "\f205"; } + +.fa-toilet::before { + content: "\f7d8"; } + +.fa-toilet-paper::before { + content: "\f71e"; } + +.fa-toilet-paper-slash::before { + content: "\e072"; } + +.fa-toilet-portable::before { + content: "\e583"; } + +.fa-toilets-portable::before { + content: "\e584"; } + +.fa-toolbox::before { + content: "\f552"; } + +.fa-tooth::before { + content: "\f5c9"; } + +.fa-torii-gate::before { + content: "\f6a1"; } + +.fa-tornado::before { + content: "\f76f"; } + +.fa-tower-broadcast::before { + content: "\f519"; } + +.fa-broadcast-tower::before { + content: "\f519"; } + +.fa-tower-cell::before { + content: "\e585"; } + +.fa-tower-observation::before { + content: "\e586"; } + +.fa-tractor::before { + content: "\f722"; } + +.fa-trademark::before { + content: "\f25c"; } + +.fa-traffic-light::before { + content: "\f637"; } + +.fa-trailer::before { + content: "\e041"; } + +.fa-train::before { + content: "\f238"; } + +.fa-train-subway::before { + content: "\f239"; } + +.fa-subway::before { + content: "\f239"; } + +.fa-train-tram::before { + content: "\f7da"; } + +.fa-tram::before { + content: "\f7da"; } + +.fa-transgender::before { + content: "\f225"; } + +.fa-transgender-alt::before { + content: "\f225"; } + +.fa-trash::before { + content: "\f1f8"; } + +.fa-trash-arrow-up::before { + content: "\f829"; } + +.fa-trash-restore::before { + content: "\f829"; } + +.fa-trash-can::before { + content: "\f2ed"; } + +.fa-trash-alt::before { + content: "\f2ed"; } + +.fa-trash-can-arrow-up::before { + content: "\f82a"; } + +.fa-trash-restore-alt::before { + content: "\f82a"; } + +.fa-tree::before { + content: "\f1bb"; } + +.fa-tree-city::before { + content: "\e587"; } + +.fa-triangle-exclamation::before { + content: "\f071"; } + +.fa-exclamation-triangle::before { + content: "\f071"; } + +.fa-warning::before { + content: "\f071"; } + +.fa-trophy::before { + content: "\f091"; } + +.fa-trowel::before { + content: "\e589"; } + +.fa-trowel-bricks::before { + content: "\e58a"; } + +.fa-truck::before { + content: "\f0d1"; } + +.fa-truck-arrow-right::before { + content: "\e58b"; } + +.fa-truck-droplet::before { + content: "\e58c"; } + +.fa-truck-fast::before { + content: "\f48b"; } + +.fa-shipping-fast::before { + content: "\f48b"; } + +.fa-truck-field::before { + content: "\e58d"; } + +.fa-truck-field-un::before { + content: "\e58e"; } + +.fa-truck-front::before { + content: "\e2b7"; } + +.fa-truck-medical::before { + content: "\f0f9"; } + +.fa-ambulance::before { + content: "\f0f9"; } + +.fa-truck-monster::before { + content: "\f63b"; } + +.fa-truck-moving::before { + content: "\f4df"; } + +.fa-truck-pickup::before { + content: "\f63c"; } + +.fa-truck-plane::before { + content: "\e58f"; } + +.fa-truck-ramp-box::before { + content: "\f4de"; } + +.fa-truck-loading::before { + content: "\f4de"; } + +.fa-tty::before { + content: "\f1e4"; } + +.fa-teletype::before { + content: "\f1e4"; } + +.fa-turkish-lira-sign::before { + content: "\e2bb"; } + +.fa-try::before { + content: "\e2bb"; } + +.fa-turkish-lira::before { + content: "\e2bb"; } + +.fa-turn-down::before { + content: "\f3be"; } + +.fa-level-down-alt::before { + content: "\f3be"; } + +.fa-turn-up::before { + content: "\f3bf"; } + +.fa-level-up-alt::before { + content: "\f3bf"; } + +.fa-tv::before { + content: "\f26c"; } + +.fa-television::before { + content: "\f26c"; } + +.fa-tv-alt::before { + content: "\f26c"; } + +.fa-u::before { + content: "\55"; } + +.fa-umbrella::before { + content: "\f0e9"; } + +.fa-umbrella-beach::before { + content: "\f5ca"; } + +.fa-underline::before { + content: "\f0cd"; } + +.fa-universal-access::before { + content: "\f29a"; } + +.fa-unlock::before { + content: "\f09c"; } + +.fa-unlock-keyhole::before { + content: "\f13e"; } + +.fa-unlock-alt::before { + content: "\f13e"; } + +.fa-up-down::before { + content: "\f338"; } + +.fa-arrows-alt-v::before { + content: "\f338"; } + +.fa-up-down-left-right::before { + content: "\f0b2"; } + +.fa-arrows-alt::before { + content: "\f0b2"; } + +.fa-up-long::before { + content: "\f30c"; } + +.fa-long-arrow-alt-up::before { + content: "\f30c"; } + +.fa-up-right-and-down-left-from-center::before { + content: "\f424"; } + +.fa-expand-alt::before { + content: "\f424"; } + +.fa-up-right-from-square::before { + content: "\f35d"; } + +.fa-external-link-alt::before { + content: "\f35d"; } + +.fa-upload::before { + content: "\f093"; } + +.fa-user::before { + content: "\f007"; } + +.fa-user-astronaut::before { + content: "\f4fb"; } + +.fa-user-check::before { + content: "\f4fc"; } + +.fa-user-clock::before { + content: "\f4fd"; } + +.fa-user-doctor::before { + content: "\f0f0"; } + +.fa-user-md::before { + content: "\f0f0"; } + +.fa-user-gear::before { + content: "\f4fe"; } + +.fa-user-cog::before { + content: "\f4fe"; } + +.fa-user-graduate::before { + content: "\f501"; } + +.fa-user-group::before { + content: "\f500"; } + +.fa-user-friends::before { + content: "\f500"; } + +.fa-user-injured::before { + content: "\f728"; } + +.fa-user-large::before { + content: "\f406"; } + +.fa-user-alt::before { + content: "\f406"; } + +.fa-user-large-slash::before { + content: "\f4fa"; } + +.fa-user-alt-slash::before { + content: "\f4fa"; } + +.fa-user-lock::before { + content: "\f502"; } + +.fa-user-minus::before { + content: "\f503"; } + +.fa-user-ninja::before { + content: "\f504"; } + +.fa-user-nurse::before { + content: "\f82f"; } + +.fa-user-pen::before { + content: "\f4ff"; } + +.fa-user-edit::before { + content: "\f4ff"; } + +.fa-user-plus::before { + content: "\f234"; } + +.fa-user-secret::before { + content: "\f21b"; } + +.fa-user-shield::before { + content: "\f505"; } + +.fa-user-slash::before { + content: "\f506"; } + +.fa-user-tag::before { + content: "\f507"; } + +.fa-user-tie::before { + content: "\f508"; } + +.fa-user-xmark::before { + content: "\f235"; } + +.fa-user-times::before { + content: "\f235"; } + +.fa-users::before { + content: "\f0c0"; } + +.fa-users-between-lines::before { + content: "\e591"; } + +.fa-users-gear::before { + content: "\f509"; } + +.fa-users-cog::before { + content: "\f509"; } + +.fa-users-line::before { + content: "\e592"; } + +.fa-users-rays::before { + content: "\e593"; } + +.fa-users-rectangle::before { + content: "\e594"; } + +.fa-users-slash::before { + content: "\e073"; } + +.fa-users-viewfinder::before { + content: "\e595"; } + +.fa-utensils::before { + content: "\f2e7"; } + +.fa-cutlery::before { + content: "\f2e7"; } + +.fa-v::before { + content: "\56"; } + +.fa-van-shuttle::before { + content: "\f5b6"; } + +.fa-shuttle-van::before { + content: "\f5b6"; } + +.fa-vault::before { + content: "\e2c5"; } + +.fa-vector-square::before { + content: "\f5cb"; } + +.fa-venus::before { + content: "\f221"; } + +.fa-venus-double::before { + content: "\f226"; } + +.fa-venus-mars::before { + content: "\f228"; } + +.fa-vest::before { + content: "\e085"; } + +.fa-vest-patches::before { + content: "\e086"; } + +.fa-vial::before { + content: "\f492"; } + +.fa-vial-circle-check::before { + content: "\e596"; } + +.fa-vial-virus::before { + content: "\e597"; } + +.fa-vials::before { + content: "\f493"; } + +.fa-video::before { + content: "\f03d"; } + +.fa-video-camera::before { + content: "\f03d"; } + +.fa-video-slash::before { + content: "\f4e2"; } + +.fa-vihara::before { + content: "\f6a7"; } + +.fa-virus::before { + content: "\e074"; } + +.fa-virus-covid::before { + content: "\e4a8"; } + +.fa-virus-covid-slash::before { + content: "\e4a9"; } + +.fa-virus-slash::before { + content: "\e075"; } + +.fa-viruses::before { + content: "\e076"; } + +.fa-voicemail::before { + content: "\f897"; } + +.fa-volcano::before { + content: "\f770"; } + +.fa-volleyball::before { + content: "\f45f"; } + +.fa-volleyball-ball::before { + content: "\f45f"; } + +.fa-volume-high::before { + content: "\f028"; } + +.fa-volume-up::before { + content: "\f028"; } + +.fa-volume-low::before { + content: "\f027"; } + +.fa-volume-down::before { + content: "\f027"; } + +.fa-volume-off::before { + content: "\f026"; } + +.fa-volume-xmark::before { + content: "\f6a9"; } + +.fa-volume-mute::before { + content: "\f6a9"; } + +.fa-volume-times::before { + content: "\f6a9"; } + +.fa-vr-cardboard::before { + content: "\f729"; } + +.fa-w::before { + content: "\57"; } + +.fa-walkie-talkie::before { + content: "\f8ef"; } + +.fa-wallet::before { + content: "\f555"; } + +.fa-wand-magic::before { + content: "\f0d0"; } + +.fa-magic::before { + content: "\f0d0"; } + +.fa-wand-magic-sparkles::before { + content: "\e2ca"; } + +.fa-magic-wand-sparkles::before { + content: "\e2ca"; } + +.fa-wand-sparkles::before { + content: "\f72b"; } + +.fa-warehouse::before { + content: "\f494"; } + +.fa-water::before { + content: "\f773"; } + +.fa-water-ladder::before { + content: "\f5c5"; } + +.fa-ladder-water::before { + content: "\f5c5"; } + +.fa-swimming-pool::before { + content: "\f5c5"; } + +.fa-wave-square::before { + content: "\f83e"; } + +.fa-weight-hanging::before { + content: "\f5cd"; } + +.fa-weight-scale::before { + content: "\f496"; } + +.fa-weight::before { + content: "\f496"; } + +.fa-wheat-awn::before { + content: "\e2cd"; } + +.fa-wheat-alt::before { + content: "\e2cd"; } + +.fa-wheat-awn-circle-exclamation::before { + content: "\e598"; } + +.fa-wheelchair::before { + content: "\f193"; } + +.fa-wheelchair-move::before { + content: "\e2ce"; } + +.fa-wheelchair-alt::before { + content: "\e2ce"; } + +.fa-whiskey-glass::before { + content: "\f7a0"; } + +.fa-glass-whiskey::before { + content: "\f7a0"; } + +.fa-wifi::before { + content: "\f1eb"; } + +.fa-wifi-3::before { + content: "\f1eb"; } + +.fa-wifi-strong::before { + content: "\f1eb"; } + +.fa-wind::before { + content: "\f72e"; } + +.fa-window-maximize::before { + content: "\f2d0"; } + +.fa-window-minimize::before { + content: "\f2d1"; } + +.fa-window-restore::before { + content: "\f2d2"; } + +.fa-wine-bottle::before { + content: "\f72f"; } + +.fa-wine-glass::before { + content: "\f4e3"; } + +.fa-wine-glass-empty::before { + content: "\f5ce"; } + +.fa-wine-glass-alt::before { + content: "\f5ce"; } + +.fa-won-sign::before { + content: "\f159"; } + +.fa-krw::before { + content: "\f159"; } + +.fa-won::before { + content: "\f159"; } + +.fa-worm::before { + content: "\e599"; } + +.fa-wrench::before { + content: "\f0ad"; } + +.fa-x::before { + content: "\58"; } + +.fa-x-ray::before { + content: "\f497"; } + +.fa-xmark::before { + content: "\f00d"; } + +.fa-close::before { + content: "\f00d"; } + +.fa-multiply::before { + content: "\f00d"; } + +.fa-remove::before { + content: "\f00d"; } + +.fa-times::before { + content: "\f00d"; } + +.fa-xmarks-lines::before { + content: "\e59a"; } + +.fa-y::before { + content: "\59"; } + +.fa-yen-sign::before { + content: "\f157"; } + +.fa-cny::before { + content: "\f157"; } + +.fa-jpy::before { + content: "\f157"; } + +.fa-rmb::before { + content: "\f157"; } + +.fa-yen::before { + content: "\f157"; } + +.fa-yin-yang::before { + content: "\f6ad"; } + +.fa-z::before { + content: "\5a"; } + +.sr-only, +.fa-sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } + +.sr-only-focusable:not(:focus), +.fa-sr-only-focusable:not(:focus) { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } +:root, :host { + --fa-font-brands: normal 400 1em/1 "Font Awesome 6 Brands"; } + +@font-face { + font-family: 'Font Awesome 6 Brands'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +.fab, +.fa-brands { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa-42-group:before { + content: "\e080"; } + +.fa-innosoft:before { + content: "\e080"; } + +.fa-500px:before { + content: "\f26e"; } + +.fa-accessible-icon:before { + content: "\f368"; } + +.fa-accusoft:before { + content: "\f369"; } + +.fa-adn:before { + content: "\f170"; } + +.fa-adversal:before { + content: "\f36a"; } + +.fa-affiliatetheme:before { + content: "\f36b"; } + +.fa-airbnb:before { + content: "\f834"; } + +.fa-algolia:before { + content: "\f36c"; } + +.fa-alipay:before { + content: "\f642"; } + +.fa-amazon:before { + content: "\f270"; } + +.fa-amazon-pay:before { + content: "\f42c"; } + +.fa-amilia:before { + content: "\f36d"; } + +.fa-android:before { + content: "\f17b"; } + +.fa-angellist:before { + content: "\f209"; } + +.fa-angrycreative:before { + content: "\f36e"; } + +.fa-angular:before { + content: "\f420"; } + +.fa-app-store:before { + content: "\f36f"; } + +.fa-app-store-ios:before { + content: "\f370"; } + +.fa-apper:before { + content: "\f371"; } + +.fa-apple:before { + content: "\f179"; } + +.fa-apple-pay:before { + content: "\f415"; } + +.fa-artstation:before { + content: "\f77a"; } + +.fa-asymmetrik:before { + content: "\f372"; } + +.fa-atlassian:before { + content: "\f77b"; } + +.fa-audible:before { + content: "\f373"; } + +.fa-autoprefixer:before { 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+.fa-steam-square:before { + content: "\f1b7"; } + +.fa-steam-symbol:before { + content: "\f3f6"; } + +.fa-sticker-mule:before { + content: "\f3f7"; } + +.fa-strava:before { + content: "\f428"; } + +.fa-stripe:before { + content: "\f429"; } + +.fa-stripe-s:before { + content: "\f42a"; } + +.fa-studiovinari:before { + content: "\f3f8"; } + +.fa-stumbleupon:before { + content: "\f1a4"; } + +.fa-stumbleupon-circle:before { + content: "\f1a3"; } + +.fa-superpowers:before { + content: "\f2dd"; } + +.fa-supple:before { + content: "\f3f9"; } + +.fa-suse:before { + content: "\f7d6"; } + +.fa-swift:before { + content: "\f8e1"; } + +.fa-symfony:before { + content: "\f83d"; } + +.fa-teamspeak:before { + content: "\f4f9"; } + +.fa-telegram:before { + content: "\f2c6"; } + +.fa-telegram-plane:before { + content: "\f2c6"; } + +.fa-tencent-weibo:before { + content: "\f1d5"; } + +.fa-the-red-yeti:before { + content: "\f69d"; } + +.fa-themeco:before { + content: "\f5c6"; } + +.fa-themeisle:before { + content: "\f2b2"; } + +.fa-think-peaks:before { + content: "\f731"; } + +.fa-tiktok:before { + content: "\e07b"; } + +.fa-trade-federation:before { + content: "\f513"; } + +.fa-trello:before { + content: "\f181"; } + +.fa-tumblr:before { + content: "\f173"; } + +.fa-tumblr-square:before { + content: "\f174"; } + +.fa-twitch:before { + content: "\f1e8"; } + +.fa-twitter:before { + content: "\f099"; } + +.fa-twitter-square:before { + content: "\f081"; } + +.fa-typo3:before { + content: "\f42b"; } + +.fa-uber:before { + content: "\f402"; } + +.fa-ubuntu:before { + content: "\f7df"; } + +.fa-uikit:before { + content: "\f403"; } + +.fa-umbraco:before { + content: "\f8e8"; } + +.fa-uncharted:before { + content: "\e084"; } + +.fa-uniregistry:before { + content: "\f404"; } + +.fa-unity:before { + content: "\e049"; } + +.fa-unsplash:before { + content: "\e07c"; } + +.fa-untappd:before { + content: "\f405"; } + +.fa-ups:before { + content: "\f7e0"; } + +.fa-usb:before { + content: "\f287"; } + +.fa-usps:before { + content: "\f7e1"; } + +.fa-ussunnah:before { + content: "\f407"; } + +.fa-vaadin:before { + content: "\f408"; } + +.fa-viacoin:before { + content: "\f237"; } + +.fa-viadeo:before { + content: "\f2a9"; } + +.fa-viadeo-square:before { + content: "\f2aa"; } + +.fa-viber:before { + content: "\f409"; } + +.fa-vimeo:before { + content: "\f40a"; } + +.fa-vimeo-square:before { + content: "\f194"; } + +.fa-vimeo-v:before { + content: "\f27d"; } + +.fa-vine:before { + content: "\f1ca"; } + +.fa-vk:before { + content: "\f189"; } + +.fa-vnv:before { + content: "\f40b"; } + +.fa-vuejs:before { + content: "\f41f"; } + +.fa-watchman-monitoring:before { + content: "\e087"; } + +.fa-waze:before { + content: "\f83f"; } + +.fa-weebly:before { + content: "\f5cc"; } + +.fa-weibo:before { + content: "\f18a"; } + +.fa-weixin:before { + content: "\f1d7"; } + +.fa-whatsapp:before { + content: "\f232"; } + +.fa-whatsapp-square:before { + content: "\f40c"; } + +.fa-whmcs:before { + content: "\f40d"; } + +.fa-wikipedia-w:before { + content: "\f266"; } + +.fa-windows:before { + content: "\f17a"; } + +.fa-wirsindhandwerk:before { + content: "\e2d0"; } + +.fa-wsh:before { + content: "\e2d0"; } + +.fa-wix:before { + content: "\f5cf"; } + +.fa-wizards-of-the-coast:before { + content: "\f730"; } + +.fa-wodu:before { + content: "\e088"; } + +.fa-wolf-pack-battalion:before { + content: "\f514"; } + +.fa-wordpress:before { + content: "\f19a"; } + +.fa-wordpress-simple:before { + content: "\f411"; } + +.fa-wpbeginner:before { + content: "\f297"; } + +.fa-wpexplorer:before { + content: "\f2de"; } + +.fa-wpforms:before { + content: "\f298"; } + +.fa-wpressr:before { + content: "\f3e4"; } + +.fa-xbox:before { + content: "\f412"; } + +.fa-xing:before { + content: "\f168"; } + +.fa-xing-square:before { + content: "\f169"; } + +.fa-y-combinator:before { + content: "\f23b"; } + +.fa-yahoo:before { + content: "\f19e"; } + +.fa-yammer:before { + content: "\f840"; } + +.fa-yandex:before { + content: "\f413"; } + +.fa-yandex-international:before { + content: "\f414"; } + +.fa-yarn:before { + content: "\f7e3"; } + +.fa-yelp:before { + content: "\f1e9"; } + +.fa-yoast:before { + content: "\f2b1"; } + +.fa-youtube:before { + content: "\f167"; } + +.fa-youtube-square:before { + content: "\f431"; } + +.fa-zhihu:before { + content: "\f63f"; } +:root, :host { + --fa-font-regular: normal 400 1em/1 "Font Awesome 6 Free"; } + +@font-face { + font-family: 'Font Awesome 6 Free'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); } + +.far, +.fa-regular { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } +:root, :host { + --fa-font-solid: normal 900 1em/1 "Font Awesome 6 Free"; } + +@font-face { + font-family: 'Font Awesome 6 Free'; + font-style: normal; + font-weight: 900; + font-display: block; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +.fas, +.fa-solid { + font-family: 'Font Awesome 6 Free'; + font-weight: 900; } +@font-face { + font-family: "Font Awesome 5 Brands"; + font-display: block; + font-weight: 400; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +@font-face { + font-family: "Font Awesome 5 Free"; + font-display: block; + font-weight: 900; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +@font-face { + font-family: "Font Awesome 5 Free"; + font-display: block; + font-weight: 400; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); } +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-solid-900.woff2") format("woff2"), url("1e21o67/fa-solid-900.ttf") format("truetype"); } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-regular-400.woff2") format("woff2"), url("1e21o67/fa-regular-400.ttf") format("truetype"); + unicode-range: U+F003,U+F006,U+F014,U+F016-F017,U+F01A-F01B,U+F01D,U+F022,U+F03E,U+F044,U+F046,U+F05C-F05D,U+F06E,U+F070,U+F087-F088,U+F08A,U+F094,U+F096-F097,U+F09D,U+F0A0,U+F0A2,U+F0A4-F0A7,U+F0C5,U+F0C7,U+F0E5-F0E6,U+F0EB,U+F0F6-F0F8,U+F10C,U+F114-F115,U+F118-F11A,U+F11C-F11D,U+F133,U+F147,U+F14E,U+F150-F152,U+F185-F186,U+F18E,U+F190-F192,U+F196,U+F1C1-F1C9,U+F1D9,U+F1DB,U+F1E3,U+F1EA,U+F1F7,U+F1F9,U+F20A,U+F247-F248,U+F24A,U+F24D,U+F255-F25B,U+F25D,U+F271-F274,U+F278,U+F27B,U+F28C,U+F28E,U+F29C,U+F2B5,U+F2B7,U+F2BA,U+F2BC,U+F2BE,U+F2C0-F2C1,U+F2C3,U+F2D0,U+F2D2,U+F2D4,U+F2DC; } + +@font-face { + font-family: "FontAwesome"; + font-display: block; + src: url("1e21o67/fa-v4compatibility.woff2") format("woff2"), url("1e21o67/fa-v4compatibility.ttf") format("truetype"); + unicode-range: U+F041,U+F047,U+F065-F066,U+F07D-F07E,U+F080,U+F08B,U+F08E,U+F090,U+F09A,U+F0AC,U+F0AE,U+F0B2,U+F0D0,U+F0D6,U+F0E4,U+F0EC,U+F10A-F10B,U+F123,U+F13E,U+F148-F149,U+F14C,U+F156,U+F15E,U+F160-F161,U+F163,U+F175-F178,U+F195,U+F1F8,U+F219,U+F250,U+F252,U+F27A; } diff --git a/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/latex-fontsize.css b/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/latex-fontsize.css new file mode 100644 index 00000000..45545ecf --- /dev/null +++ b/docs/site_libs/quarto-contrib/fontawesome6-0.1.0/latex-fontsize.css @@ -0,0 +1,30 @@ +.fa-tiny { + font-size: 0.5em; +} +.fa-scriptsize { + font-size: 0.7em; +} +.fa-footnotesize { + font-size: 0.8em; +} +.fa-small { + font-size: 0.9em; +} +.fa-normalsize { + font-size: 1em; +} +.fa-large { + font-size: 1.2em; +} +.fa-Large { + font-size: 1.5em; +} +.fa-LARGE { + font-size: 1.75em; +} 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+++ b/docs/site_libs/quarto-html/quarto-syntax-highlighting.css @@ -0,0 +1,180 @@ +/* quarto syntax highlight colors */ +:root { + --quarto-hl-al-color: #ff5555; + --quarto-hl-an-color: #75715e; + --quarto-hl-at-color: #f92672; + --quarto-hl-bn-color: #ae81ff; + --quarto-hl-bu-color: #66D9EF; + --quarto-hl-ch-color: #e6db74; + --quarto-hl-co-color: #75715e; + --quarto-hl-cv-color: #75715e; + --quarto-hl-cn-color: #ae81ff; + --quarto-hl-cf-color: #f92672; + --quarto-hl-dt-color: #66d9ef; + --quarto-hl-dv-color: #ae81ff; + --quarto-hl-do-color: #75715e; + --quarto-hl-er-color: #ff5555; + --quarto-hl-ex-color: #a6e22e; + --quarto-hl-fl-color: #ae81ff; + --quarto-hl-fu-color: #a6e22e; + --quarto-hl-im-color: #f92672; + --quarto-hl-in-color: #f1fa8c; + --quarto-hl-kw-color: #f92672; + --quarto-hl-op-color: #f8f8f2; + --quarto-hl-pp-color: #f92672; + --quarto-hl-re-color: #75715e; + --quarto-hl-sc-color: #ae81ff; + --quarto-hl-ss-color: #e6db74; + --quarto-hl-st-color: #e6db74; + --quarto-hl-va-color: #f8f8f2; + --quarto-hl-vs-color: #e6db74; + --quarto-hl-wa-color: #ff5555; +} + +/* other quarto variables */ +:root { + --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; +} + +code span.al { + font-weight: bold; + color: #ff5555; +} + +code span.an { + color: #75715e; +} + +code span.at { + color: #f92672; +} + +code span.bn { + color: #ae81ff; +} + +code span.bu { + color: #66D9EF; +} + +code span.ch { + color: #e6db74; +} + +code span.co { + color: #75715e; +} + +code span.cv { + color: #75715e; +} + +code span.cn { + color: #ae81ff; +} + +code span.cf { + color: #f92672; +} + +code span.dt { + font-style: italic; + color: #66d9ef; +} + +code span.dv { + color: #ae81ff; +} + +code span.do { + color: #75715e; +} + +code span.er { + color: #ff5555; + text-decoration: underline; +} + +code span.ex { + font-weight: bold; + color: #a6e22e; +} + +code span.fl { + color: #ae81ff; +} + +code span.fu { + color: #a6e22e; +} + +code span.im { + color: #f92672; +} + +code span.in { + color: #f1fa8c; +} + +code span.kw { + color: #f92672; +} + +pre > code.sourceCode > span { + color: #f8f8f2; +} + +code span { + color: #f8f8f2; +} + +code.sourceCode > span { + color: #f8f8f2; +} + +div.sourceCode, +div.sourceCode pre.sourceCode { + color: #f8f8f2; +} + +code span.op { + color: #f8f8f2; +} + +code span.pp { + color: #f92672; +} + +code span.re { + color: #75715e; +} + +code span.sc { + color: #ae81ff; +} + +code span.ss { + color: #e6db74; +} + +code span.st { + color: #e6db74; +} + +code span.va { + color: #f8f8f2; +} + +code span.vs { + color: #e6db74; +} + +code span.wa { + color: #ff5555; +} + +.prevent-inlining { + content: " { + // Find any conflicting margin elements and add margins to the + // top to prevent overlap + const marginChildren = window.document.querySelectorAll( + ".column-margin.column-container > *, .margin-caption, .aside" + ); + + let lastBottom = 0; + for (const marginChild of marginChildren) { + if (marginChild.offsetParent !== null) { + // clear the top margin so we recompute it + marginChild.style.marginTop = null; + const top = marginChild.getBoundingClientRect().top + window.scrollY; + if (top < lastBottom) { + const marginChildStyle = window.getComputedStyle(marginChild); + const marginBottom = parseFloat(marginChildStyle["marginBottom"]); + const margin = lastBottom - top + marginBottom; + marginChild.style.marginTop = `${margin}px`; + } + const styles = window.getComputedStyle(marginChild); + const marginTop = parseFloat(styles["marginTop"]); + lastBottom = top + marginChild.getBoundingClientRect().height + marginTop; + } + } +}; + +window.document.addEventListener("DOMContentLoaded", function (_event) { + // Recompute the position of margin elements anytime the body size changes + if (window.ResizeObserver) { + const resizeObserver = new window.ResizeObserver( + throttle(() => { + layoutMarginEls(); + if ( + window.document.body.getBoundingClientRect().width < 990 && + isReaderMode() + ) { + quartoToggleReader(); + } + }, 50) + ); + resizeObserver.observe(window.document.body); + } + + const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]'); + const sidebarEl = window.document.getElementById("quarto-sidebar"); + const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left"); + const marginSidebarEl = window.document.getElementById( + "quarto-margin-sidebar" + ); + // function to determine whether the element has a previous sibling that is active + const prevSiblingIsActiveLink = (el) => { + const sibling = el.previousElementSibling; + if (sibling && sibling.tagName === "A") { + return sibling.classList.contains("active"); + } else { + return false; + } + }; + + // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior) + function fireSlideEnter(e) { + const event = window.document.createEvent("Event"); + event.initEvent("slideenter", true, true); + window.document.dispatchEvent(event); + } + const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]'); + tabs.forEach((tab) => { + tab.addEventListener("shown.bs.tab", fireSlideEnter); + }); + + // fire slideEnter for tabby tab activations (for htmlwidget resize behavior) + document.addEventListener("tabby", fireSlideEnter, false); + + // Track scrolling and mark TOC links as active + // get table of contents and sidebar (bail if we don't have at least one) + const tocLinks = tocEl + ? [...tocEl.querySelectorAll("a[data-scroll-target]")] + : []; + const makeActive = (link) => tocLinks[link].classList.add("active"); + const removeActive = (link) => tocLinks[link].classList.remove("active"); + const removeAllActive = () => + [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link)); + + // activate the anchor for a section associated with this TOC entry + tocLinks.forEach((link) => { + link.addEventListener("click", () => { + if (link.href.indexOf("#") !== -1) { + const anchor = link.href.split("#")[1]; + const heading = window.document.querySelector( + `[data-anchor-id="${anchor}"]` + ); + if (heading) { + // Add the class + heading.classList.add("reveal-anchorjs-link"); + + // function to show the anchor + const handleMouseout = () => { + heading.classList.remove("reveal-anchorjs-link"); + heading.removeEventListener("mouseout", handleMouseout); + }; + + // add a function to clear the anchor when the user mouses out of it + heading.addEventListener("mouseout", handleMouseout); + } + } + }); + }); + + const sections = tocLinks.map((link) => { + const target = link.getAttribute("data-scroll-target"); + if (target.startsWith("#")) { + return window.document.getElementById(decodeURI(`${target.slice(1)}`)); + } else { + return window.document.querySelector(decodeURI(`${target}`)); + } + }); + + const sectionMargin = 200; + let currentActive = 0; + // track whether we've initialized state the first time + let init = false; + + const updateActiveLink = () => { + // The index from bottom to top (e.g. reversed list) + let sectionIndex = -1; + if ( + window.innerHeight + window.pageYOffset >= + window.document.body.offsetHeight + ) { + // This is the no-scroll case where last section should be the active one + sectionIndex = 0; + } else { + // This finds the last section visible on screen that should be made active + sectionIndex = [...sections].reverse().findIndex((section) => { + if (section) { + return window.pageYOffset >= section.offsetTop - sectionMargin; + } else { + return false; + } + }); + } + if (sectionIndex > -1) { + const current = sections.length - sectionIndex - 1; + if (current !== currentActive) { + removeAllActive(); + currentActive = current; + makeActive(current); + if (init) { + window.dispatchEvent(sectionChanged); + } + init = true; + } + } + }; + + const inHiddenRegion = (top, bottom, hiddenRegions) => { + for (const region of hiddenRegions) { + if (top <= region.bottom && bottom >= region.top) { + return true; + } + } + return false; + }; + + const categorySelector = "header.quarto-title-block .quarto-category"; + const activateCategories = (href) => { + // Find any categories + // Surround them with a link pointing back to: + // #category=Authoring + try { + const categoryEls = window.document.querySelectorAll(categorySelector); + for (const categoryEl of categoryEls) { + const categoryText = categoryEl.textContent; + if (categoryText) { + const link = `${href}#category=${encodeURIComponent(categoryText)}`; + const linkEl = window.document.createElement("a"); + linkEl.setAttribute("href", link); + for (const child of categoryEl.childNodes) { + linkEl.append(child); + } + categoryEl.appendChild(linkEl); + } + } + } catch { + // Ignore errors + } + }; + function hasTitleCategories() { + return window.document.querySelector(categorySelector) !== null; + } + + function offsetRelativeUrl(url) { + const offset = getMeta("quarto:offset"); + return offset ? offset + url : url; + } + + function offsetAbsoluteUrl(url) { + const offset = getMeta("quarto:offset"); + const baseUrl = new URL(offset, window.location); + + const projRelativeUrl = url.replace(baseUrl, ""); + if (projRelativeUrl.startsWith("/")) { + return projRelativeUrl; + } else { + return "/" + projRelativeUrl; + } + } + + // read a meta tag value + function getMeta(metaName) { + const metas = window.document.getElementsByTagName("meta"); + for (let i = 0; i < metas.length; i++) { + if (metas[i].getAttribute("name") === metaName) { + return metas[i].getAttribute("content"); + } + } + return ""; + } + + async function findAndActivateCategories() { + const currentPagePath = offsetAbsoluteUrl(window.location.href); + const response = await fetch(offsetRelativeUrl("listings.json")); + if (response.status == 200) { + return response.json().then(function (listingPaths) { + const listingHrefs = []; + for (const listingPath of listingPaths) { + const pathWithoutLeadingSlash = listingPath.listing.substring(1); + for (const item of listingPath.items) { + if ( + item === currentPagePath || + item === currentPagePath + "index.html" + ) { + // Resolve this path against the offset to be sure + // we already are using the correct path to the listing + // (this adjusts the listing urls to be rooted against + // whatever root the page is actually running against) + const relative = offsetRelativeUrl(pathWithoutLeadingSlash); + const baseUrl = window.location; + const resolvedPath = new URL(relative, baseUrl); + listingHrefs.push(resolvedPath.pathname); + break; + } + } + } + + // Look up the tree for a nearby linting and use that if we find one + const nearestListing = findNearestParentListing( + offsetAbsoluteUrl(window.location.pathname), + listingHrefs + ); + if (nearestListing) { + activateCategories(nearestListing); + } else { + // See if the referrer is a listing page for this item + const referredRelativePath = offsetAbsoluteUrl(document.referrer); + const referrerListing = listingHrefs.find((listingHref) => { + const isListingReferrer = + listingHref === referredRelativePath || + listingHref === referredRelativePath + "index.html"; + return isListingReferrer; + }); + + if (referrerListing) { + // Try to use the referrer if possible + activateCategories(referrerListing); + } else if (listingHrefs.length > 0) { + // Otherwise, just fall back to the first listing + activateCategories(listingHrefs[0]); + } + } + }); + } + } + if (hasTitleCategories()) { + findAndActivateCategories(); + } + + const findNearestParentListing = (href, listingHrefs) => { + if (!href || !listingHrefs) { + return undefined; + } + // Look up the tree for a nearby linting and use that if we find one + const relativeParts = href.substring(1).split("/"); + while (relativeParts.length > 0) { + const path = relativeParts.join("/"); + for (const listingHref of listingHrefs) { + if (listingHref.startsWith(path)) { + return listingHref; + } + } + relativeParts.pop(); + } + + return undefined; + }; + + const manageSidebarVisiblity = (el, placeholderDescriptor) => { + let isVisible = true; + let elRect; + + return (hiddenRegions) => { + if (el === null) { + return; + } + + // Find the last element of the TOC + const lastChildEl = el.lastElementChild; + + if (lastChildEl) { + // Converts the sidebar to a menu + const convertToMenu = () => { + for (const child of el.children) { + child.style.opacity = 0; + child.style.overflow = "hidden"; + child.style.pointerEvents = "none"; + } + + nexttick(() => { + const toggleContainer = window.document.createElement("div"); + toggleContainer.style.width = "100%"; + toggleContainer.classList.add("zindex-over-content"); + toggleContainer.classList.add("quarto-sidebar-toggle"); + toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom + toggleContainer.id = placeholderDescriptor.id; + toggleContainer.style.position = "fixed"; + + const toggleIcon = window.document.createElement("i"); + toggleIcon.classList.add("quarto-sidebar-toggle-icon"); + toggleIcon.classList.add("bi"); + toggleIcon.classList.add("bi-caret-down-fill"); + + const toggleTitle = window.document.createElement("div"); + const titleEl = window.document.body.querySelector( + placeholderDescriptor.titleSelector + ); + if (titleEl) { + toggleTitle.append( + titleEl.textContent || titleEl.innerText, + toggleIcon + ); + } + toggleTitle.classList.add("zindex-over-content"); + toggleTitle.classList.add("quarto-sidebar-toggle-title"); + toggleContainer.append(toggleTitle); + + const toggleContents = window.document.createElement("div"); + toggleContents.classList = el.classList; + toggleContents.classList.add("zindex-over-content"); + toggleContents.classList.add("quarto-sidebar-toggle-contents"); + for (const child of el.children) { + if (child.id === "toc-title") { + continue; + } + + const clone = child.cloneNode(true); + clone.style.opacity = 1; + clone.style.pointerEvents = null; + clone.style.display = null; + toggleContents.append(clone); + } + toggleContents.style.height = "0px"; + const positionToggle = () => { + // position the element (top left of parent, same width as parent) + if (!elRect) { + elRect = el.getBoundingClientRect(); + } + toggleContainer.style.left = `${elRect.left}px`; + toggleContainer.style.top = `${elRect.top}px`; + toggleContainer.style.width = `${elRect.width}px`; + }; + positionToggle(); + + toggleContainer.append(toggleContents); + el.parentElement.prepend(toggleContainer); + + // Process clicks + let tocShowing = false; + // Allow the caller to control whether this is dismissed + // when it is clicked (e.g. sidebar navigation supports + // opening and closing the nav tree, so don't dismiss on click) + const clickEl = placeholderDescriptor.dismissOnClick + ? toggleContainer + : toggleTitle; + + const closeToggle = () => { + if (tocShowing) { + toggleContainer.classList.remove("expanded"); + toggleContents.style.height = "0px"; + tocShowing = false; + } + }; + + // Get rid of any expanded toggle if the user scrolls + window.document.addEventListener( + "scroll", + throttle(() => { + closeToggle(); + }, 50) + ); + + // Handle positioning of the toggle + window.addEventListener( + "resize", + throttle(() => { + elRect = undefined; + positionToggle(); + }, 50) + ); + + window.addEventListener("quarto-hrChanged", () => { + elRect = undefined; + }); + + // Process the click + clickEl.onclick = () => { + if (!tocShowing) { + toggleContainer.classList.add("expanded"); + toggleContents.style.height = null; + tocShowing = true; + } else { + closeToggle(); + } + }; + }); + }; + + // Converts a sidebar from a menu back to a sidebar + const convertToSidebar = () => { + for (const child of el.children) { + child.style.opacity = 1; + child.style.overflow = null; + child.style.pointerEvents = null; + } + + const placeholderEl = window.document.getElementById( + placeholderDescriptor.id + ); + if (placeholderEl) { + placeholderEl.remove(); + } + + el.classList.remove("rollup"); + }; + + if (isReaderMode()) { + convertToMenu(); + isVisible = false; + } else { + // Find the top and bottom o the element that is being managed + const elTop = el.offsetTop; + const elBottom = + elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight; + + if (!isVisible) { + // If the element is current not visible reveal if there are + // no conflicts with overlay regions + if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) { + convertToSidebar(); + isVisible = true; + } + } else { + // If the element is visible, hide it if it conflicts with overlay regions + // and insert a placeholder toggle (or if we're in reader mode) + if (inHiddenRegion(elTop, elBottom, hiddenRegions)) { + convertToMenu(); + isVisible = false; + } + } + } + } + }; + }; + + const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]'); + for (const tabEl of tabEls) { + const id = tabEl.getAttribute("data-bs-target"); + if (id) { + const columnEl = document.querySelector( + `${id} .column-margin, .tabset-margin-content` + ); + if (columnEl) + tabEl.addEventListener("shown.bs.tab", function (event) { + const el = event.srcElement; + if (el) { + const visibleCls = `${el.id}-margin-content`; + // walk up until we find a parent tabset + let panelTabsetEl = el.parentElement; + while (panelTabsetEl) { + if (panelTabsetEl.classList.contains("panel-tabset")) { + break; + } + panelTabsetEl = panelTabsetEl.parentElement; + } + + if (panelTabsetEl) { + const prevSib = panelTabsetEl.previousElementSibling; + if ( + prevSib && + prevSib.classList.contains("tabset-margin-container") + ) { + const childNodes = prevSib.querySelectorAll( + ".tabset-margin-content" + ); + for (const childEl of childNodes) { + if (childEl.classList.contains(visibleCls)) { + childEl.classList.remove("collapse"); + } else { + childEl.classList.add("collapse"); + } + } + } + } + } + + layoutMarginEls(); + }); + } + } + + // Manage the visibility of the toc and the sidebar + const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, { + id: "quarto-toc-toggle", + titleSelector: "#toc-title", + dismissOnClick: true, + }); + const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, { + id: "quarto-sidebarnav-toggle", + titleSelector: ".title", + dismissOnClick: false, + }); + let tocLeftScrollVisibility; + if (leftTocEl) { + tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, { + id: "quarto-lefttoc-toggle", + titleSelector: "#toc-title", + dismissOnClick: true, + }); + } + + // Find the first element that uses formatting in special columns + const conflictingEls = window.document.body.querySelectorAll( + '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]' + ); + + // Filter all the possibly conflicting elements into ones + // the do conflict on the left or ride side + const arrConflictingEls = Array.from(conflictingEls); + const leftSideConflictEls = arrConflictingEls.filter((el) => { + if (el.tagName === "ASIDE") { + return false; + } + return Array.from(el.classList).find((className) => { + return ( + className !== "column-body" && + className.startsWith("column-") && + !className.endsWith("right") && + !className.endsWith("container") && + className !== "column-margin" + ); + }); + }); + const rightSideConflictEls = arrConflictingEls.filter((el) => { + if (el.tagName === "ASIDE") { + return true; + } + + const hasMarginCaption = Array.from(el.classList).find((className) => { + return className == "margin-caption"; + }); + if (hasMarginCaption) { + return true; + } + + return Array.from(el.classList).find((className) => { + return ( + className !== "column-body" && + !className.endsWith("container") && + className.startsWith("column-") && + !className.endsWith("left") + ); + }); + }); + + const kOverlapPaddingSize = 10; + function toRegions(els) { + return els.map((el) => { + const boundRect = el.getBoundingClientRect(); + const top = + boundRect.top + + document.documentElement.scrollTop - + kOverlapPaddingSize; + return { + top, + bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize, + }; + }); + } + + let hasObserved = false; + const visibleItemObserver = (els) => { + let visibleElements = [...els]; + const intersectionObserver = new IntersectionObserver( + (entries, _observer) => { + entries.forEach((entry) => { + if (entry.isIntersecting) { + if (visibleElements.indexOf(entry.target) === -1) { + visibleElements.push(entry.target); + } + } else { + visibleElements = visibleElements.filter((visibleEntry) => { + return visibleEntry !== entry; + }); + } + }); + + if (!hasObserved) { + hideOverlappedSidebars(); + } + hasObserved = true; + }, + {} + ); + els.forEach((el) => { + intersectionObserver.observe(el); + }); + + return { + getVisibleEntries: () => { + return visibleElements; + }, + }; + }; + + const rightElementObserver = visibleItemObserver(rightSideConflictEls); + const leftElementObserver = visibleItemObserver(leftSideConflictEls); + + const hideOverlappedSidebars = () => { + marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries())); + sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries())); + if (tocLeftScrollVisibility) { + tocLeftScrollVisibility( + toRegions(leftElementObserver.getVisibleEntries()) + ); + } + }; + + window.quartoToggleReader = () => { + // Applies a slow class (or removes it) + // to update the transition speed + const slowTransition = (slow) => { + const manageTransition = (id, slow) => { + const el = document.getElementById(id); + if (el) { + if (slow) { + el.classList.add("slow"); + } else { + el.classList.remove("slow"); + } + } + }; + + manageTransition("TOC", slow); + manageTransition("quarto-sidebar", slow); + }; + const readerMode = !isReaderMode(); + setReaderModeValue(readerMode); + + // If we're entering reader mode, slow the transition + if (readerMode) { + slowTransition(readerMode); + } + highlightReaderToggle(readerMode); + hideOverlappedSidebars(); + + // If we're exiting reader mode, restore the non-slow transition + if (!readerMode) { + slowTransition(!readerMode); + } + }; + + const highlightReaderToggle = (readerMode) => { + const els = document.querySelectorAll(".quarto-reader-toggle"); + if (els) { + els.forEach((el) => { + if (readerMode) { + el.classList.add("reader"); + } else { + el.classList.remove("reader"); + } + }); + } + }; + + const setReaderModeValue = (val) => { + if (window.location.protocol !== "file:") { + window.localStorage.setItem("quarto-reader-mode", val); + } else { + localReaderMode = val; + } + }; + + const isReaderMode = () => { + if (window.location.protocol !== "file:") { + return window.localStorage.getItem("quarto-reader-mode") === "true"; + } else { + return localReaderMode; + } + }; + let localReaderMode = null; + + const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded"); + const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1; + + // Walk the TOC and collapse/expand nodes + // Nodes are expanded if: + // - they are top level + // - they have children that are 'active' links + // - they are directly below an link that is 'active' + const walk = (el, depth) => { + // Tick depth when we enter a UL + if (el.tagName === "UL") { + depth = depth + 1; + } + + // It this is active link + let isActiveNode = false; + if (el.tagName === "A" && el.classList.contains("active")) { + isActiveNode = true; + } + + // See if there is an active child to this element + let hasActiveChild = false; + for (child of el.children) { + hasActiveChild = walk(child, depth) || hasActiveChild; + } + + // Process the collapse state if this is an UL + if (el.tagName === "UL") { + if (tocOpenDepth === -1 && depth > 1) { + // toc-expand: false + el.classList.add("collapse"); + } else if ( + depth <= tocOpenDepth || + hasActiveChild || + prevSiblingIsActiveLink(el) + ) { + el.classList.remove("collapse"); + } else { + el.classList.add("collapse"); + } + + // untick depth when we leave a UL + depth = depth - 1; + } + return hasActiveChild || isActiveNode; + }; + + // walk the TOC and expand / collapse any items that should be shown + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + + // Throttle the scroll event and walk peridiocally + window.document.addEventListener( + "scroll", + throttle(() => { + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + if (!isReaderMode()) { + hideOverlappedSidebars(); + } + }, 5) + ); + window.addEventListener( + "resize", + throttle(() => { + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + if (!isReaderMode()) { + hideOverlappedSidebars(); + } + }, 10) + ); + hideOverlappedSidebars(); + highlightReaderToggle(isReaderMode()); +}); + +// grouped tabsets +window.addEventListener("pageshow", (_event) => { + function getTabSettings() { + const data = localStorage.getItem("quarto-persistent-tabsets-data"); + if (!data) { + localStorage.setItem("quarto-persistent-tabsets-data", "{}"); + return {}; + } + if (data) { + return JSON.parse(data); + } + } + + function setTabSettings(data) { + localStorage.setItem( + "quarto-persistent-tabsets-data", + JSON.stringify(data) + ); + } + + function setTabState(groupName, groupValue) { + const data = getTabSettings(); + data[groupName] = groupValue; + setTabSettings(data); + } + + function toggleTab(tab, active) { + const tabPanelId = tab.getAttribute("aria-controls"); + const tabPanel = document.getElementById(tabPanelId); + if (active) { + tab.classList.add("active"); + tabPanel.classList.add("active"); + } else { + tab.classList.remove("active"); + tabPanel.classList.remove("active"); + } + } + + function toggleAll(selectedGroup, selectorsToSync) { + for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) { + const active = selectedGroup === thisGroup; + for (const tab of tabs) { + toggleTab(tab, active); + } + } + } + + function findSelectorsToSyncByLanguage() { + const result = {}; + const tabs = Array.from( + document.querySelectorAll(`div[data-group] a[id^='tabset-']`) + ); + for (const item of tabs) { + const div = item.parentElement.parentElement.parentElement; + const group = div.getAttribute("data-group"); + if (!result[group]) { + result[group] = {}; + } + const selectorsToSync = result[group]; + const value = item.innerHTML; + if (!selectorsToSync[value]) { + selectorsToSync[value] = []; + } + selectorsToSync[value].push(item); + } + return result; + } + + function setupSelectorSync() { + const selectorsToSync = findSelectorsToSyncByLanguage(); + Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => { + Object.entries(tabSetsByValue).forEach(([value, items]) => { + items.forEach((item) => { + item.addEventListener("click", (_event) => { + setTabState(group, value); + toggleAll(value, selectorsToSync[group]); + }); + }); + }); + }); + return selectorsToSync; + } + + const selectorsToSync = setupSelectorSync(); + for (const [group, selectedName] of Object.entries(getTabSettings())) { + const selectors = selectorsToSync[group]; + // it's possible that stale state gives us empty selections, so we explicitly check here. + if (selectors) { + toggleAll(selectedName, selectors); + } + } +}); + +function throttle(func, wait) { + let waiting = false; + return function () { + if (!waiting) { + func.apply(this, arguments); + waiting = true; + setTimeout(function () { + waiting = false; + }, wait); + } + }; +} + +function nexttick(func) { + return setTimeout(func, 0); +} diff --git a/docs/site_libs/quarto-html/tippy.css b/docs/site_libs/quarto-html/tippy.css new file mode 100644 index 00000000..e6ae635c --- /dev/null +++ b/docs/site_libs/quarto-html/tippy.css @@ -0,0 +1 @@ +.tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 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b/docs/site_libs/quarto-listing/list.min.js new file mode 100644 index 00000000..511346fc --- /dev/null +++ b/docs/site_libs/quarto-listing/list.min.js @@ -0,0 +1,2 @@ +var List;List=function(){var t={"./src/add-async.js":function(t){t.exports=function(t){return function e(r,n,s){var i=r.splice(0,50);s=(s=s||[]).concat(t.add(i)),r.length>0?setTimeout((function(){e(r,n,s)}),1):(t.update(),n(s))}}},"./src/filter.js":function(t){t.exports=function(t){return t.handlers.filterStart=t.handlers.filterStart||[],t.handlers.filterComplete=t.handlers.filterComplete||[],function(e){if(t.trigger("filterStart"),t.i=1,t.reset.filter(),void 0===e)t.filtered=!1;else{t.filtered=!0;for(var r=t.items,n=0,s=r.length;nv.page,a=new g(t[s],void 0,n),v.items.push(a),r.push(a)}return v.update(),r}m(t.slice(0),e)}},this.show=function(t,e){return this.i=t,this.page=e,v.update(),v},this.remove=function(t,e,r){for(var n=0,s=0,i=v.items.length;s-1&&r.splice(n,1),v},this.trigger=function(t){for(var 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a specific listing + const listingIds = Object.keys(window["quarto-listings"]); + for (const listingId of listingIds) { + const page = hash[getListingPageKey(listingId)]; + if (page) { + showPage(listingId, page); + } + } + } + + const listingIds = Object.keys(window["quarto-listings"]); + for (const listingId of listingIds) { + // The actual list + const list = window["quarto-listings"][listingId]; + + // Update the handlers for pagination events + refreshPaginationHandlers(listingId); + + // Render any visible items that need it + renderVisibleProgressiveImages(list); + + // Whenever the list is updated, we also need to + // attach handlers to the new pagination elements + // and refresh any newly visible items. + list.on("updated", function () { + renderVisibleProgressiveImages(list); + setTimeout(() => refreshPaginationHandlers(listingId)); + + // Show or hide the no matching message + toggleNoMatchingMessage(list); + }); + } +}; + +window.document.addEventListener("DOMContentLoaded", function (_event) { + // Attach click handlers to categories + const categoryEls = window.document.querySelectorAll( + ".quarto-listing-category .category" + ); + + for (const categoryEl of categoryEls) { + const category = categoryEl.getAttribute("data-category"); + categoryEl.onclick = () => { + activateCategory(category); + setCategoryHash(category); + }; + } + + // Attach a click handler to the category title + // (there should be only one, but since it is a class name, handle N) + const categoryTitleEls = window.document.querySelectorAll( + ".quarto-listing-category-title" + ); + for (const categoryTitleEl of categoryTitleEls) { + categoryTitleEl.onclick = () => { + activateCategory(""); + setCategoryHash(""); + }; + } + + categoriesLoaded = true; +}); + +function toggleNoMatchingMessage(list) { + const selector = `#${list.listContainer.id} .listing-no-matching`; + const noMatchingEl = window.document.querySelector(selector); + if (noMatchingEl) { + if (list.visibleItems.length === 0) { + noMatchingEl.classList.remove("d-none"); + } else { + if (!noMatchingEl.classList.contains("d-none")) { + noMatchingEl.classList.add("d-none"); + } + } + } +} + +function setCategoryHash(category) { + setHash({ category }); +} + +function setPageHash(listingId, page) { + const currentHash = getHash() || {}; + currentHash[getListingPageKey(listingId)] = page; + setHash(currentHash); +} + +function getListingPageKey(listingId) { + return `${listingId}-page`; +} + +function refreshPaginationHandlers(listingId) { + const listingEl = window.document.getElementById(listingId); + const paginationEls = listingEl.querySelectorAll( + ".pagination li.page-item:not(.disabled) .page.page-link" + ); + for (const paginationEl of paginationEls) { + paginationEl.onclick = (sender) => { + setPageHash(listingId, sender.target.getAttribute("data-i")); + showPage(listingId, sender.target.getAttribute("data-i")); + return false; + }; + } +} + +function renderVisibleProgressiveImages(list) { + // Run through the visible items and render any progressive images + for (const item of list.visibleItems) { + const itemEl = item.elm; + if (itemEl) { + const progressiveImgs = itemEl.querySelectorAll( + `img[${kProgressiveAttr}]` + ); + for (const progressiveImg of progressiveImgs) { + const srcValue = progressiveImg.getAttribute(kProgressiveAttr); + if (srcValue) { + progressiveImg.setAttribute("src", srcValue); + } + progressiveImg.removeAttribute(kProgressiveAttr); + } + } + } +} + +function getHash() { + // Hashes are of the form + // #name:value|name1:value1|name2:value2 + const currentUrl = new URL(window.location); + const hashRaw = currentUrl.hash ? currentUrl.hash.slice(1) : undefined; + return parseHash(hashRaw); +} + +const kAnd = "&"; +const kEquals = "="; + +function parseHash(hash) { + if (!hash) { + return undefined; + } + const hasValuesStrs = hash.split(kAnd); + const hashValues = hasValuesStrs + .map((hashValueStr) => { + const vals = hashValueStr.split(kEquals); + if (vals.length === 2) { + return { name: vals[0], value: vals[1] }; + } else { + return undefined; + } + }) + .filter((value) => { + return value !== undefined; + }); + + const hashObj = {}; + hashValues.forEach((hashValue) => { + hashObj[hashValue.name] = decodeURIComponent(hashValue.value); + }); + return hashObj; +} + +function makeHash(obj) { + return Object.keys(obj) + .map((key) => { + return `${key}${kEquals}${obj[key]}`; + }) + .join(kAnd); +} + +function setHash(obj) { + const hash = makeHash(obj); + window.history.pushState(null, null, `#${hash}`); +} + +function showPage(listingId, page) { + const list = window["quarto-listings"][listingId]; + if (list) { + list.show((page - 1) * list.page + 1, list.page); + } +} + +function activateCategory(category) { + // Deactivate existing categories + const activeEls = window.document.querySelectorAll( + ".quarto-listing-category .category.active" + ); + for (const activeEl of activeEls) { + activeEl.classList.remove("active"); + } + + // Activate this category + const categoryEl = window.document.querySelector( + `.quarto-listing-category .category[data-category='${category}'` + ); + if (categoryEl) { + categoryEl.classList.add("active"); + } + + // Filter the listings to this category + filterListingCategory(category); +} + +function filterListingCategory(category) { + const listingIds = Object.keys(window["quarto-listings"]); + for (const listingId of listingIds) { + const list = window["quarto-listings"][listingId]; + if (list) { + if (category === "") { + // resets the filter + list.filter(); + } else { + // filter to this category + list.filter(function (item) { + const itemValues = item.values(); + if (itemValues.categories !== null) { + const categories = itemValues.categories.split(","); + return categories.includes(category); + } else { + return false; + } + }); + } + } + } +} diff --git a/docs/site_libs/quarto-nav/quarto-nav.js b/docs/site_libs/quarto-nav/quarto-nav.js new file mode 100644 index 00000000..38cc4305 --- /dev/null +++ b/docs/site_libs/quarto-nav/quarto-nav.js @@ -0,0 +1,325 @@ +const headroomChanged = new CustomEvent("quarto-hrChanged", { + detail: {}, + bubbles: true, + cancelable: false, + composed: false, +}); + +const announceDismiss = () => { + const annEl = window.document.getElementById("quarto-announcement"); + if (annEl) { + annEl.remove(); + + const annId = annEl.getAttribute("data-announcement-id"); + window.localStorage.setItem(`quarto-announce-${annId}`, "true"); + } +}; + +const announceRegister = () => { + const annEl = window.document.getElementById("quarto-announcement"); + if (annEl) { + const annId = annEl.getAttribute("data-announcement-id"); + const isDismissed = + window.localStorage.getItem(`quarto-announce-${annId}`) || false; + if (isDismissed) { + announceDismiss(); + return; + } else { + annEl.classList.remove("hidden"); + } + + const actionEl = annEl.querySelector(".quarto-announcement-action"); + if (actionEl) { + actionEl.addEventListener("click", function (e) { + e.preventDefault(); + // Hide the bar immediately + announceDismiss(); + }); + } + } +}; + +window.document.addEventListener("DOMContentLoaded", function () { + let init = false; + + announceRegister(); + + // Manage the back to top button, if one is present. + let lastScrollTop = window.pageYOffset || document.documentElement.scrollTop; + const scrollDownBuffer = 5; + const scrollUpBuffer = 35; + const btn = document.getElementById("quarto-back-to-top"); + const hideBackToTop = () => { + btn.style.display = "none"; + }; + const showBackToTop = () => { + btn.style.display = "inline-block"; + }; + if (btn) { + window.document.addEventListener( + "scroll", + function () { + const currentScrollTop = + window.pageYOffset || document.documentElement.scrollTop; + + // Shows and hides the button 'intelligently' as the user scrolls + if (currentScrollTop - scrollDownBuffer > lastScrollTop) { + hideBackToTop(); + lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop; + } else if (currentScrollTop < lastScrollTop - scrollUpBuffer) { + showBackToTop(); + lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop; + } + + // Show the button at the bottom, hides it at the top + if (currentScrollTop <= 0) { + hideBackToTop(); + } else if ( + window.innerHeight + currentScrollTop >= + document.body.offsetHeight + ) { + showBackToTop(); + } + }, + false + ); + } + + function throttle(func, wait) { + var timeout; + return function () { + const context = this; + const args = arguments; + const later = function () { + clearTimeout(timeout); + timeout = null; + func.apply(context, args); + }; + + if (!timeout) { + timeout = setTimeout(later, wait); + } + }; + } + + function headerOffset() { + // Set an offset if there is are fixed top navbar + const headerEl = window.document.querySelector("header.fixed-top"); + if (headerEl) { + return headerEl.clientHeight; + } else { + return 0; + } + } + + function footerOffset() { + const footerEl = window.document.querySelector("footer.footer"); + if (footerEl) { + return footerEl.clientHeight; + } else { + return 0; + } + } + + function dashboardOffset() { + const dashboardNavEl = window.document.getElementById( + "quarto-dashboard-header" + ); + if (dashboardNavEl !== null) { + return dashboardNavEl.clientHeight; + } else { + return 0; + } + } + + function updateDocumentOffsetWithoutAnimation() { + updateDocumentOffset(false); + } + + function updateDocumentOffset(animated) { + // set body offset + const topOffset = headerOffset(); + const bodyOffset = topOffset + footerOffset() + dashboardOffset(); + const bodyEl = window.document.body; + bodyEl.setAttribute("data-bs-offset", topOffset); + bodyEl.style.paddingTop = topOffset + "px"; + + // deal with sidebar offsets + const sidebars = window.document.querySelectorAll( + ".sidebar, .headroom-target" + ); + sidebars.forEach((sidebar) => { + if (!animated) { + sidebar.classList.add("notransition"); + // Remove the no transition class after the animation has time to complete + setTimeout(function () { + sidebar.classList.remove("notransition"); + }, 201); + } + + if (window.Headroom && sidebar.classList.contains("sidebar-unpinned")) { + sidebar.style.top = "0"; + sidebar.style.maxHeight = "100vh"; + } else { + sidebar.style.top = topOffset + "px"; + sidebar.style.maxHeight = "calc(100vh - " + topOffset + "px)"; + } + }); + + // allow space for footer + const mainContainer = window.document.querySelector(".quarto-container"); + if (mainContainer) { + mainContainer.style.minHeight = "calc(100vh - " + bodyOffset + "px)"; + } + + // link offset + let linkStyle = window.document.querySelector("#quarto-target-style"); + if (!linkStyle) { + linkStyle = window.document.createElement("style"); + linkStyle.setAttribute("id", "quarto-target-style"); + window.document.head.appendChild(linkStyle); + } + while (linkStyle.firstChild) { + linkStyle.removeChild(linkStyle.firstChild); + } + if (topOffset > 0) { + linkStyle.appendChild( + window.document.createTextNode(` + section:target::before { + content: ""; + display: block; + height: ${topOffset}px; + margin: -${topOffset}px 0 0; + }`) + ); + } + if (init) { + window.dispatchEvent(headroomChanged); + } + init = true; + } + + // initialize headroom + var header = window.document.querySelector("#quarto-header"); + if (header && window.Headroom) { + const headroom = new window.Headroom(header, { + tolerance: 5, + onPin: function () { + const sidebars = window.document.querySelectorAll( + ".sidebar, .headroom-target" + ); + sidebars.forEach((sidebar) => { + sidebar.classList.remove("sidebar-unpinned"); + }); + updateDocumentOffset(); + }, + onUnpin: function () { + const sidebars = window.document.querySelectorAll( + ".sidebar, .headroom-target" + ); + sidebars.forEach((sidebar) => { + sidebar.classList.add("sidebar-unpinned"); + }); + updateDocumentOffset(); + }, + }); + headroom.init(); + + let frozen = false; + window.quartoToggleHeadroom = function () { + if (frozen) { + headroom.unfreeze(); + frozen = false; + } else { + headroom.freeze(); + frozen = true; + } + }; + } + + window.addEventListener( + "hashchange", + function (e) { + if ( + getComputedStyle(document.documentElement).scrollBehavior !== "smooth" + ) { + window.scrollTo(0, window.pageYOffset - headerOffset()); + } + }, + false + ); + + // Observe size changed for the header + const headerEl = window.document.querySelector("header.fixed-top"); + if (headerEl && window.ResizeObserver) { + const observer = new window.ResizeObserver(() => { + setTimeout(updateDocumentOffsetWithoutAnimation, 0); + }); + observer.observe(headerEl, { + attributes: true, + childList: true, + characterData: true, + }); + } else { + window.addEventListener( + "resize", + throttle(updateDocumentOffsetWithoutAnimation, 50) + ); + } + setTimeout(updateDocumentOffsetWithoutAnimation, 250); + + // fixup index.html links if we aren't on the filesystem + if (window.location.protocol !== "file:") { + const links = window.document.querySelectorAll("a"); + for (let i = 0; i < links.length; i++) { + if (links[i].href) { + links[i].dataset.originalHref = links[i].href; + links[i].href = links[i].href.replace(/\/index\.html/, "/"); + } + } + + // Fixup any sharing links that require urls + // Append url to any sharing urls + const sharingLinks = window.document.querySelectorAll( + "a.sidebar-tools-main-item, a.quarto-navigation-tool, a.quarto-navbar-tools, a.quarto-navbar-tools-item" + ); + for (let i = 0; i < sharingLinks.length; i++) { + const sharingLink = sharingLinks[i]; + const href = sharingLink.getAttribute("href"); + if (href) { + sharingLink.setAttribute( + "href", + href.replace("|url|", window.location.href) + ); + } + } + + // Scroll the active navigation item into view, if necessary + const navSidebar = window.document.querySelector("nav#quarto-sidebar"); + if (navSidebar) { + // Find the active item + const activeItem = navSidebar.querySelector("li.sidebar-item a.active"); + if (activeItem) { + // Wait for the scroll height and height to resolve by observing size changes on the + // nav element that is scrollable + const resizeObserver = new ResizeObserver((_entries) => { + // The bottom of the element + const elBottom = activeItem.offsetTop; + const viewBottom = navSidebar.scrollTop + navSidebar.clientHeight; + + // The element height and scroll height are the same, then we are still loading + if (viewBottom !== navSidebar.scrollHeight) { + // Determine if the item isn't visible and scroll to it + if (elBottom >= viewBottom) { + navSidebar.scrollTop = elBottom; + } + + // stop observing now since we've completed the scroll + resizeObserver.unobserve(navSidebar); + } + }); + resizeObserver.observe(navSidebar); + } + } + } +}); diff --git 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Apache Software License 2.0 + * + * http://www.apache.org/licenses/LICENSE-2.0 + */ +var e,t;e=this,t=function(){"use strict";function e(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function t(t){for(var n=1;ne.length)&&(t=e.length);for(var n=0,r=new Array(t);n0&&void 0!==arguments[0]?arguments[0]:1,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:3,n=new Map,r=Math.pow(10,t);return{get:function(t){var i=t.match(C).length;if(n.has(i))return n.get(i);var o=1/Math.pow(i,.5*e),c=parseFloat(Math.round(o*r)/r);return n.set(i,c),c},clear:function(){n.clear()}}}var $=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=t.getFn,i=void 0===n?I.getFn:n,o=t.fieldNormWeight,c=void 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a/docs/site_libs/quarto-search/quarto-search.js b/docs/site_libs/quarto-search/quarto-search.js new file mode 100644 index 00000000..d788a958 --- /dev/null +++ b/docs/site_libs/quarto-search/quarto-search.js @@ -0,0 +1,1290 @@ +const kQueryArg = "q"; +const kResultsArg = "show-results"; + +// If items don't provide a URL, then both the navigator and the onSelect +// function aren't called (and therefore, the default implementation is used) +// +// We're using this sentinel URL to signal to those handlers that this +// item is a more item (along with the type) and can be handled appropriately +const kItemTypeMoreHref = "0767FDFD-0422-4E5A-BC8A-3BE11E5BBA05"; + +window.document.addEventListener("DOMContentLoaded", function (_event) { + // Ensure that search is available on this page. If it isn't, + // should return early and not do anything + var searchEl = window.document.getElementById("quarto-search"); + if (!searchEl) return; + + const { autocomplete } = window["@algolia/autocomplete-js"]; + + let quartoSearchOptions = {}; + let language = {}; + const searchOptionEl = window.document.getElementById( + "quarto-search-options" + ); + if (searchOptionEl) { + const jsonStr = searchOptionEl.textContent; + quartoSearchOptions = JSON.parse(jsonStr); + language = quartoSearchOptions.language; + } + + // note the search mode + if (quartoSearchOptions.type === "overlay") { + searchEl.classList.add("type-overlay"); + } else { + searchEl.classList.add("type-textbox"); + } + + // Used to determine highlighting behavior for this page + // A `q` query param is expected when the user follows a search + // to this page + const currentUrl = new URL(window.location); + const query = currentUrl.searchParams.get(kQueryArg); + const showSearchResults = currentUrl.searchParams.get(kResultsArg); + const mainEl = window.document.querySelector("main"); + + // highlight matches on the page + if (query && mainEl) { + // perform any highlighting + highlight(escapeRegExp(query), mainEl); + + // fix up the URL to remove the q query param + const replacementUrl = new URL(window.location); + replacementUrl.searchParams.delete(kQueryArg); + window.history.replaceState({}, "", replacementUrl); + } + + // function to clear highlighting on the page when the search query changes + // (e.g. if the user edits the query or clears it) + let highlighting = true; + const resetHighlighting = (searchTerm) => { + if (mainEl && highlighting && query && searchTerm !== query) { + clearHighlight(query, mainEl); + highlighting = false; + } + }; + + // Clear search highlighting when the user scrolls sufficiently + const resetFn = () => { + resetHighlighting(""); + window.removeEventListener("quarto-hrChanged", resetFn); + window.removeEventListener("quarto-sectionChanged", resetFn); + }; + + // Register this event after the initial scrolling and settling of events + // on the page + window.addEventListener("quarto-hrChanged", resetFn); + window.addEventListener("quarto-sectionChanged", resetFn); + + // Responsively switch to overlay mode if the search is present on the navbar + // Note that switching the sidebar to overlay mode requires more coordinate (not just + // the media query since we generate different HTML for sidebar overlays than we do + // for sidebar input UI) + const detachedMediaQuery = + quartoSearchOptions.type === "overlay" ? "all" : "(max-width: 991px)"; + + // If configured, include the analytics client to send insights + const plugins = configurePlugins(quartoSearchOptions); + + let lastState = null; + const { setIsOpen, setQuery, setCollections } = autocomplete({ + container: searchEl, + detachedMediaQuery: detachedMediaQuery, + defaultActiveItemId: 0, + panelContainer: "#quarto-search-results", + panelPlacement: quartoSearchOptions["panel-placement"], + debug: false, + openOnFocus: true, + plugins, + classNames: { + form: "d-flex", + }, + placeholder: language["search-text-placeholder"], + translations: { + clearButtonTitle: language["search-clear-button-title"], + detachedCancelButtonText: language["search-detached-cancel-button-title"], + submitButtonTitle: language["search-submit-button-title"], + }, + initialState: { + query, + }, + getItemUrl({ item }) { + return item.href; + }, + onStateChange({ state }) { + // If this is a file URL, note that + + // Perhaps reset highlighting + resetHighlighting(state.query); + + // If the panel just opened, ensure the panel is positioned properly + if (state.isOpen) { + if (lastState && !lastState.isOpen) { + setTimeout(() => { + positionPanel(quartoSearchOptions["panel-placement"]); + }, 150); + } + } + + // Perhaps show the copy link + showCopyLink(state.query, quartoSearchOptions); + + lastState = state; + }, + reshape({ sources, state }) { + return sources.map((source) => { + try { + const items = source.getItems(); + + // Validate the items + validateItems(items); + + // group the items by document + const groupedItems = new Map(); + items.forEach((item) => { + const hrefParts = item.href.split("#"); + const baseHref = hrefParts[0]; + const isDocumentItem = hrefParts.length === 1; + + const items = groupedItems.get(baseHref); + if (!items) { + groupedItems.set(baseHref, [item]); + } else { + // If the href for this item matches the document + // exactly, place this item first as it is the item that represents + // the document itself + if (isDocumentItem) { + items.unshift(item); + } else { + items.push(item); + } + groupedItems.set(baseHref, items); + } + }); + + const reshapedItems = []; + let count = 1; + for (const [_key, value] of groupedItems) { + const firstItem = value[0]; + reshapedItems.push({ + ...firstItem, + type: kItemTypeDoc, + }); + + const collapseMatches = quartoSearchOptions["collapse-after"]; + const collapseCount = + typeof collapseMatches === "number" ? collapseMatches : 1; + + if (value.length > 1) { + const target = `search-more-${count}`; + const isExpanded = + state.context.expanded && + state.context.expanded.includes(target); + + const remainingCount = value.length - collapseCount; + + for (let i = 1; i < value.length; i++) { + if (collapseMatches && i === collapseCount) { + reshapedItems.push({ + target, + title: isExpanded + ? language["search-hide-matches-text"] + : remainingCount === 1 + ? `${remainingCount} ${language["search-more-match-text"]}` + : `${remainingCount} ${language["search-more-matches-text"]}`, + type: kItemTypeMore, + href: kItemTypeMoreHref, + }); + } + + if (isExpanded || !collapseMatches || i < collapseCount) { + reshapedItems.push({ + ...value[i], + type: kItemTypeItem, + target, + }); + } + } + } + count += 1; + } + + return { + ...source, + getItems() { + return reshapedItems; + }, + }; + } catch (error) { + // Some form of error occurred + return { + ...source, + getItems() { + return [ + { + title: error.name || "An Error Occurred While Searching", + text: + error.message || + "An unknown error occurred while attempting to perform the requested search.", + type: kItemTypeError, + }, + ]; + }, + }; + } + }); + }, + navigator: { + navigate({ itemUrl }) { + if (itemUrl !== offsetURL(kItemTypeMoreHref)) { + window.location.assign(itemUrl); + } + }, + navigateNewTab({ itemUrl }) { + if (itemUrl !== offsetURL(kItemTypeMoreHref)) { + const windowReference = window.open(itemUrl, "_blank", "noopener"); + if (windowReference) { + windowReference.focus(); + } + } + }, + navigateNewWindow({ itemUrl }) { + if (itemUrl !== offsetURL(kItemTypeMoreHref)) { + window.open(itemUrl, "_blank", "noopener"); + } + }, + }, + getSources({ state, setContext, setActiveItemId, refresh }) { + return [ + { + sourceId: "documents", + getItemUrl({ item }) { + if (item.href) { + return offsetURL(item.href); + } else { + return undefined; + } + }, + onSelect({ + item, + state, + setContext, + setIsOpen, + setActiveItemId, + refresh, + }) { + if (item.type === kItemTypeMore) { + toggleExpanded(item, state, setContext, setActiveItemId, refresh); + + // Toggle more + setIsOpen(true); + } + }, + getItems({ query }) { + if (query === null || query === "") { + return []; + } + + const limit = quartoSearchOptions.limit; + if (quartoSearchOptions.algolia) { + return algoliaSearch(query, limit, quartoSearchOptions.algolia); + } else { + // Fuse search options + const fuseSearchOptions = { + isCaseSensitive: false, + shouldSort: true, + minMatchCharLength: 2, + limit: limit, + }; + + return readSearchData().then(function (fuse) { + return fuseSearch(query, fuse, fuseSearchOptions); + }); + } + }, + templates: { + noResults({ createElement }) { + const hasQuery = lastState.query; + + return createElement( + "div", + { + class: `quarto-search-no-results${ + hasQuery ? "" : " no-query" + }`, + }, + language["search-no-results-text"] + ); + }, + header({ items, createElement }) { + // count the documents + const count = items.filter((item) => { + return item.type === kItemTypeDoc; + }).length; + + if (count > 0) { + return createElement( + "div", + { class: "search-result-header" }, + `${count} ${language["search-matching-documents-text"]}` + ); + } else { + return createElement( + "div", + { class: "search-result-header-no-results" }, + `` + ); + } + }, + footer({ _items, createElement }) { + if ( + quartoSearchOptions.algolia && + quartoSearchOptions.algolia["show-logo"] + ) { + const libDir = quartoSearchOptions.algolia["libDir"]; + const logo = createElement("img", { + src: offsetURL( + `${libDir}/quarto-search/search-by-algolia.svg` + ), + class: "algolia-search-logo", + }); + return createElement( + "a", + { href: "http://www.algolia.com/" }, + logo + ); + } + }, + + item({ item, createElement }) { + return renderItem( + item, + createElement, + state, + setActiveItemId, + setContext, + refresh, + quartoSearchOptions + ); + }, + }, + }, + ]; + }, + }); + + window.quartoOpenSearch = () => { + setIsOpen(false); + setIsOpen(true); + focusSearchInput(); + }; + + document.addEventListener("keyup", (event) => { + const { key } = event; + const kbds = quartoSearchOptions["keyboard-shortcut"]; + const focusedEl = document.activeElement; + + const isFormElFocused = [ + "input", + "select", + "textarea", + "button", + "option", + ].find((tag) => { + return focusedEl.tagName.toLowerCase() === tag; + }); + + if ( + kbds && + kbds.includes(key) && + !isFormElFocused && + !document.activeElement.isContentEditable + ) { + event.preventDefault(); + window.quartoOpenSearch(); + } + }); + + // Remove the labeleledby attribute since it is pointing + // to a non-existent label + if (quartoSearchOptions.type === "overlay") { + const inputEl = window.document.querySelector( + "#quarto-search .aa-Autocomplete" + ); + if (inputEl) { + inputEl.removeAttribute("aria-labelledby"); + } + } + + function throttle(func, wait) { + let waiting = false; + return function () { + if (!waiting) { + func.apply(this, arguments); + waiting = true; + setTimeout(function () { + waiting = false; + }, wait); + } + }; + } + + // If the main document scrolls dismiss the search results + // (otherwise, since they're floating in the document they can scroll with the document) + window.document.body.onscroll = throttle(() => { + // Only do this if we're not detached + // Bug #7117 + // This will happen when the keyboard is shown on ios (resulting in a scroll) + // which then closed the search UI + if (!window.matchMedia(detachedMediaQuery).matches) { + setIsOpen(false); + } + }, 50); + + if (showSearchResults) { + setIsOpen(true); + focusSearchInput(); + } +}); + +function configurePlugins(quartoSearchOptions) { + const autocompletePlugins = []; + const algoliaOptions = quartoSearchOptions.algolia; + if ( + algoliaOptions && + algoliaOptions["analytics-events"] && + algoliaOptions["search-only-api-key"] && + algoliaOptions["application-id"] + ) { + const apiKey = algoliaOptions["search-only-api-key"]; + const appId = algoliaOptions["application-id"]; + + // Aloglia insights may not be loaded because they require cookie consent + // Use deferred loading so events will start being recorded when/if consent + // is granted. + const algoliaInsightsDeferredPlugin = deferredLoadPlugin(() => { + if ( + window.aa && + window["@algolia/autocomplete-plugin-algolia-insights"] + ) { + window.aa("init", { + appId, + apiKey, + useCookie: true, + }); + + const { createAlgoliaInsightsPlugin } = + window["@algolia/autocomplete-plugin-algolia-insights"]; + // Register the insights client + const algoliaInsightsPlugin = createAlgoliaInsightsPlugin({ + insightsClient: window.aa, + onItemsChange({ insights, insightsEvents }) { + const events = insightsEvents.flatMap((event) => { + // This API limits the number of items per event to 20 + const chunkSize = 20; + const itemChunks = []; + const eventItems = event.items; + for (let i = 0; i < eventItems.length; i += chunkSize) { + itemChunks.push(eventItems.slice(i, i + chunkSize)); + } + // Split the items into multiple events that can be sent + const events = itemChunks.map((items) => { + return { + ...event, + items, + }; + }); + return events; + }); + + for (const event of events) { + insights.viewedObjectIDs(event); + } + }, + }); + return algoliaInsightsPlugin; + } + }); + + // Add the plugin + autocompletePlugins.push(algoliaInsightsDeferredPlugin); + return autocompletePlugins; + } +} + +// For plugins that may not load immediately, create a wrapper +// plugin and forward events and plugin data once the plugin +// is initialized. This is useful for cases like cookie consent +// which may prevent the analytics insights event plugin from initializing +// immediately. +function deferredLoadPlugin(createPlugin) { + let plugin = undefined; + let subscribeObj = undefined; + const wrappedPlugin = () => { + if (!plugin && subscribeObj) { + plugin = createPlugin(); + if (plugin && plugin.subscribe) { + plugin.subscribe(subscribeObj); + } + } + return plugin; + }; + + return { + subscribe: (obj) => { + subscribeObj = obj; + }, + onStateChange: (obj) => { + const plugin = wrappedPlugin(); + if (plugin && plugin.onStateChange) { + plugin.onStateChange(obj); + } + }, + onSubmit: (obj) => { + const plugin = wrappedPlugin(); + if (plugin && plugin.onSubmit) { + plugin.onSubmit(obj); + } + }, + onReset: (obj) => { + const plugin = wrappedPlugin(); + if (plugin && plugin.onReset) { + plugin.onReset(obj); + } + }, + getSources: (obj) => { + const plugin = wrappedPlugin(); + if (plugin && plugin.getSources) { + return plugin.getSources(obj); + } else { + return Promise.resolve([]); + } + }, + data: (obj) => { + const plugin = wrappedPlugin(); + if (plugin && plugin.data) { + plugin.data(obj); + } + }, + }; +} + +function validateItems(items) { + // Validate the first item + if (items.length > 0) { + const item = items[0]; + const missingFields = []; + if (item.href == undefined) { + missingFields.push("href"); + } + if (!item.title == undefined) { + missingFields.push("title"); + } + if (!item.text == undefined) { + missingFields.push("text"); + } + + if (missingFields.length === 1) { + throw { + name: `Error: Search index is missing the ${missingFields[0]} field.`, + message: `The items being returned for this search do not include all the required fields. Please ensure that your index items include the ${missingFields[0]} field or use index-fields in your _quarto.yml file to specify the field names.`, + }; + } else if (missingFields.length > 1) { + const missingFieldList = missingFields + .map((field) => { + return `${field}`; + }) + .join(", "); + + throw { + name: `Error: Search index is missing the following fields: ${missingFieldList}.`, + message: `The items being returned for this search do not include all the required fields. Please ensure that your index items includes the following fields: ${missingFieldList}, or use index-fields in your _quarto.yml file to specify the field names.`, + }; + } + } +} + +let lastQuery = null; +function showCopyLink(query, options) { + const language = options.language; + lastQuery = query; + // Insert share icon + const inputSuffixEl = window.document.body.querySelector( + ".aa-Form .aa-InputWrapperSuffix" + ); + + if (inputSuffixEl) { + let copyButtonEl = window.document.body.querySelector( + ".aa-Form .aa-InputWrapperSuffix .aa-CopyButton" + ); + + if (copyButtonEl === null) { + copyButtonEl = window.document.createElement("button"); + copyButtonEl.setAttribute("class", "aa-CopyButton"); + copyButtonEl.setAttribute("type", "button"); + copyButtonEl.setAttribute("title", language["search-copy-link-title"]); + copyButtonEl.onmousedown = (e) => { + e.preventDefault(); + e.stopPropagation(); + }; + + const linkIcon = "bi-clipboard"; + const checkIcon = "bi-check2"; + + const shareIconEl = window.document.createElement("i"); + shareIconEl.setAttribute("class", `bi ${linkIcon}`); + copyButtonEl.appendChild(shareIconEl); + inputSuffixEl.prepend(copyButtonEl); + + const clipboard = new window.ClipboardJS(".aa-CopyButton", { + text: function (_trigger) { + const copyUrl = new URL(window.location); + copyUrl.searchParams.set(kQueryArg, lastQuery); + copyUrl.searchParams.set(kResultsArg, "1"); + return copyUrl.toString(); + }, + }); + clipboard.on("success", function (e) { + // Focus the input + + // button target + const button = e.trigger; + const icon = button.querySelector("i.bi"); + + // flash "checked" + icon.classList.add(checkIcon); + icon.classList.remove(linkIcon); + setTimeout(function () { + icon.classList.remove(checkIcon); + icon.classList.add(linkIcon); + }, 1000); + }); + } + + // If there is a query, show the link icon + if (copyButtonEl) { + if (lastQuery && options["copy-button"]) { + copyButtonEl.style.display = "flex"; + } else { + copyButtonEl.style.display = "none"; + } + } + } +} + +/* Search Index Handling */ +// create the index +var fuseIndex = undefined; +var shownWarning = false; + +// fuse index options +const kFuseIndexOptions = { + keys: [ + { name: "title", weight: 20 }, + { name: "section", weight: 20 }, + { name: "text", weight: 10 }, + ], + ignoreLocation: true, + threshold: 0.1, +}; + +async function readSearchData() { + // Initialize the search index on demand + if (fuseIndex === undefined) { + if (window.location.protocol === "file:" && !shownWarning) { + window.alert( + "Search requires JavaScript features disabled when running in file://... URLs. In order to use search, please run this document in a web server." + ); + shownWarning = true; + return; + } + const fuse = new window.Fuse([], kFuseIndexOptions); + + // fetch the main search.json + const response = await fetch(offsetURL("search.json")); + if (response.status == 200) { + return response.json().then(function (searchDocs) { + searchDocs.forEach(function (searchDoc) { + fuse.add(searchDoc); + }); + fuseIndex = fuse; + return fuseIndex; + }); + } else { + return Promise.reject( + new Error( + "Unexpected status from search index request: " + response.status + ) + ); + } + } + + return fuseIndex; +} + +function inputElement() { + return window.document.body.querySelector(".aa-Form .aa-Input"); +} + +function focusSearchInput() { + setTimeout(() => { + const inputEl = inputElement(); + if (inputEl) { + inputEl.focus(); + } + }, 50); +} + +/* Panels */ +const kItemTypeDoc = "document"; +const kItemTypeMore = "document-more"; +const kItemTypeItem = "document-item"; +const kItemTypeError = "error"; + +function renderItem( + item, + createElement, + state, + setActiveItemId, + setContext, + refresh, + quartoSearchOptions +) { + switch (item.type) { + case kItemTypeDoc: + return createDocumentCard( + createElement, + "file-richtext", + item.title, + item.section, + item.text, + item.href, + item.crumbs, + quartoSearchOptions + ); + case kItemTypeMore: + return createMoreCard( + createElement, + item, + state, + setActiveItemId, + setContext, + refresh + ); + case kItemTypeItem: + return createSectionCard( + createElement, + item.section, + item.text, + item.href + ); + case kItemTypeError: + return createErrorCard(createElement, item.title, item.text); + default: + return undefined; + } +} + +function createDocumentCard( + createElement, + icon, + title, + section, + text, + href, + crumbs, + quartoSearchOptions +) { + const iconEl = createElement("i", { + class: `bi bi-${icon} search-result-icon`, + }); + const titleEl = createElement("p", { class: "search-result-title" }, title); + const titleContents = [iconEl, titleEl]; + const showParent = quartoSearchOptions["show-item-context"]; + if (crumbs && showParent) { + let crumbsOut = undefined; + const crumbClz = ["search-result-crumbs"]; + if (showParent === "root") { + crumbsOut = crumbs.length > 1 ? crumbs[0] : undefined; + } else if (showParent === "parent") { + crumbsOut = crumbs.length > 1 ? crumbs[crumbs.length - 2] : undefined; + } else { + crumbsOut = crumbs.length > 1 ? crumbs.join(" > ") : undefined; + crumbClz.push("search-result-crumbs-wrap"); + } + + const crumbEl = createElement( + "p", + { class: crumbClz.join(" ") }, + crumbsOut + ); + titleContents.push(crumbEl); + } + + const titleContainerEl = createElement( + "div", + { class: "search-result-title-container" }, + titleContents + ); + + const textEls = []; + if (section) { + const sectionEl = createElement( + "p", + { class: "search-result-section" }, + section + ); + textEls.push(sectionEl); + } + const descEl = createElement("p", { + class: "search-result-text", + dangerouslySetInnerHTML: { + __html: text, + }, + }); + textEls.push(descEl); + + const textContainerEl = createElement( + "div", + { class: "search-result-text-container" }, + textEls + ); + + const containerEl = createElement( + "div", + { + class: "search-result-container", + }, + [titleContainerEl, textContainerEl] + ); + + const linkEl = createElement( + "a", + { + href: offsetURL(href), + class: "search-result-link", + }, + containerEl + ); + + const classes = ["search-result-doc", "search-item"]; + if (!section) { + classes.push("document-selectable"); + } + + return createElement( + "div", + { + class: classes.join(" "), + }, + linkEl + ); +} + +function createMoreCard( + createElement, + item, + state, + setActiveItemId, + setContext, + refresh +) { + const moreCardEl = createElement( + "div", + { + class: "search-result-more search-item", + onClick: (e) => { + // Handle expanding the sections by adding the expanded + // section to the list of expanded sections + toggleExpanded(item, state, setContext, setActiveItemId, refresh); + e.stopPropagation(); + }, + }, + item.title + ); + + return moreCardEl; +} + +function toggleExpanded(item, state, setContext, setActiveItemId, refresh) { + const expanded = state.context.expanded || []; + if (expanded.includes(item.target)) { + setContext({ + expanded: expanded.filter((target) => target !== item.target), + }); + } else { + setContext({ expanded: [...expanded, item.target] }); + } + + refresh(); + setActiveItemId(item.__autocomplete_id); +} + +function createSectionCard(createElement, section, text, href) { + const sectionEl = createSection(createElement, section, text, href); + return createElement( + "div", + { + class: "search-result-doc-section search-item", + }, + sectionEl + ); +} + +function createSection(createElement, title, text, href) { + const descEl = createElement("p", { + class: "search-result-text", + dangerouslySetInnerHTML: { + __html: text, + }, + }); + + const titleEl = createElement("p", { class: "search-result-section" }, title); + const linkEl = createElement( + "a", + { + href: offsetURL(href), + class: "search-result-link", + }, + [titleEl, descEl] + ); + return linkEl; +} + +function createErrorCard(createElement, title, text) { + const descEl = createElement("p", { + class: "search-error-text", + dangerouslySetInnerHTML: { + __html: text, + }, + }); + + const titleEl = createElement("p", { + class: "search-error-title", + dangerouslySetInnerHTML: { + __html: ` ${title}`, + }, + }); + const errorEl = createElement("div", { class: "search-error" }, [ + titleEl, + descEl, + ]); + return errorEl; +} + +function positionPanel(pos) { + const panelEl = window.document.querySelector( + "#quarto-search-results .aa-Panel" + ); + const inputEl = window.document.querySelector( + "#quarto-search .aa-Autocomplete" + ); + + if (panelEl && inputEl) { + panelEl.style.top = `${Math.round(panelEl.offsetTop)}px`; + if (pos === "start") { + panelEl.style.left = `${Math.round(inputEl.left)}px`; + } else { + panelEl.style.right = `${Math.round(inputEl.offsetRight)}px`; + } + } +} + +/* Highlighting */ +// highlighting functions +function highlightMatch(query, text) { + if (text) { + const start = text.toLowerCase().indexOf(query.toLowerCase()); + if (start !== -1) { + const startMark = ""; + const endMark = ""; + + const end = start + query.length; + text = + text.slice(0, start) + + startMark + + text.slice(start, end) + + endMark + + text.slice(end); + const startInfo = clipStart(text, start); + const endInfo = clipEnd( + text, + startInfo.position + startMark.length + endMark.length + ); + text = + startInfo.prefix + + text.slice(startInfo.position, endInfo.position) + + endInfo.suffix; + + return text; + } else { + return text; + } + } else { + return text; + } +} + +function clipStart(text, pos) { + const clipStart = pos - 50; + if (clipStart < 0) { + // This will just return the start of the string + return { + position: 0, + prefix: "", + }; + } else { + // We're clipping before the start of the string, walk backwards to the first space. + const spacePos = findSpace(text, pos, -1); + return { + position: spacePos.position, + prefix: "", + }; + } +} + +function clipEnd(text, pos) { + const clipEnd = pos + 200; + if (clipEnd > text.length) { + return { + position: text.length, + suffix: "", + }; + } else { + const spacePos = findSpace(text, clipEnd, 1); + return { + position: spacePos.position, + suffix: spacePos.clipped ? "…" : "", + }; + } +} + +function findSpace(text, start, step) { + let stepPos = start; + while (stepPos > -1 && stepPos < text.length) { + const char = text[stepPos]; + if (char === " " || char === "," || char === ":") { + return { + position: step === 1 ? stepPos : stepPos - step, + clipped: stepPos > 1 && stepPos < text.length, + }; + } + stepPos = stepPos + step; + } + + return { + position: stepPos - step, + clipped: false, + }; +} + +// removes highlighting as implemented by the mark tag +function clearHighlight(searchterm, el) { + const childNodes = el.childNodes; + for (let i = childNodes.length - 1; i >= 0; i--) { + const node = childNodes[i]; + if (node.nodeType === Node.ELEMENT_NODE) { + if ( + node.tagName === "MARK" && + node.innerText.toLowerCase() === searchterm.toLowerCase() + ) { + el.replaceChild(document.createTextNode(node.innerText), node); + } else { + clearHighlight(searchterm, node); + } + } + } +} + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string +} + +// highlight matches +function highlight(term, el) { + const termRegex = new RegExp(term, "ig"); + const childNodes = el.childNodes; + + // walk back to front avoid mutating elements in front of us + for (let i = childNodes.length - 1; i >= 0; i--) { + const node = childNodes[i]; + + if (node.nodeType === Node.TEXT_NODE) { + // Search text nodes for text to highlight + const text = node.nodeValue; + + let startIndex = 0; + let matchIndex = text.search(termRegex); + if (matchIndex > -1) { + const markFragment = document.createDocumentFragment(); + while (matchIndex > -1) { + const prefix = text.slice(startIndex, matchIndex); + markFragment.appendChild(document.createTextNode(prefix)); + + const mark = document.createElement("mark"); + mark.appendChild( + document.createTextNode( + text.slice(matchIndex, matchIndex + term.length) + ) + ); + markFragment.appendChild(mark); + + startIndex = matchIndex + term.length; + matchIndex = text.slice(startIndex).search(new RegExp(term, "ig")); + if (matchIndex > -1) { + matchIndex = startIndex + matchIndex; + } + } + if (startIndex < text.length) { + markFragment.appendChild( + document.createTextNode(text.slice(startIndex, text.length)) + ); + } + + el.replaceChild(markFragment, node); + } + } else if (node.nodeType === Node.ELEMENT_NODE) { + // recurse through elements + highlight(term, node); + } + } +} + +/* Link Handling */ +// get the offset from this page for a given site root relative url +function offsetURL(url) { + var offset = getMeta("quarto:offset"); + return offset ? offset + url : url; +} + +// read a meta tag value +function getMeta(metaName) { + var metas = window.document.getElementsByTagName("meta"); + for (let i = 0; i < metas.length; i++) { + if (metas[i].getAttribute("name") === metaName) { + return metas[i].getAttribute("content"); + } + } + return ""; +} + +function algoliaSearch(query, limit, algoliaOptions) { + const { getAlgoliaResults } = window["@algolia/autocomplete-preset-algolia"]; + + const applicationId = algoliaOptions["application-id"]; + const searchOnlyApiKey = algoliaOptions["search-only-api-key"]; + const indexName = algoliaOptions["index-name"]; + const indexFields = algoliaOptions["index-fields"]; + const searchClient = window.algoliasearch(applicationId, searchOnlyApiKey); + const searchParams = algoliaOptions["params"]; + const searchAnalytics = !!algoliaOptions["analytics-events"]; + + return getAlgoliaResults({ + searchClient, + queries: [ + { + indexName: indexName, + query, + params: { + hitsPerPage: limit, + clickAnalytics: searchAnalytics, + ...searchParams, + }, + }, + ], + transformResponse: (response) => { + if (!indexFields) { + return response.hits.map((hit) => { + return hit.map((item) => { + return { + ...item, + text: highlightMatch(query, item.text), + }; + }); + }); + } else { + const remappedHits = response.hits.map((hit) => { + return hit.map((item) => { + const newItem = { ...item }; + ["href", "section", "title", "text", "crumbs"].forEach( + (keyName) => { + const mappedName = indexFields[keyName]; + if ( + mappedName && + item[mappedName] !== undefined && + mappedName !== keyName + ) { + newItem[keyName] = item[mappedName]; + delete newItem[mappedName]; + } + } + ); + newItem.text = highlightMatch(query, newItem.text); + return newItem; + }); + }); + return remappedHits; + } + }, + }); +} + +let subSearchTerm = undefined; +let subSearchFuse = undefined; +const kFuseMaxWait = 125; + +async function fuseSearch(query, fuse, fuseOptions) { + let index = fuse; + // Fuse.js using the Bitap algorithm for text matching which runs in + // O(nm) time (no matter the structure of the text). In our case this + // means that long search terms mixed with large index gets very slow + // + // This injects a subIndex that will be used once the terms get long enough + // Usually making this subindex is cheap since there will typically be + // a subset of results matching the existing query + if (subSearchFuse !== undefined && query.startsWith(subSearchTerm)) { + // Use the existing subSearchFuse + index = subSearchFuse; + } else if (subSearchFuse !== undefined) { + // The term changed, discard the existing fuse + subSearchFuse = undefined; + subSearchTerm = undefined; + } + + // Search using the active fuse + const then = performance.now(); + const resultsRaw = await index.search(query, fuseOptions); + const now = performance.now(); + + const results = resultsRaw.map((result) => { + const addParam = (url, name, value) => { + const anchorParts = url.split("#"); + const baseUrl = anchorParts[0]; + const sep = baseUrl.search("\\?") > 0 ? "&" : "?"; + anchorParts[0] = baseUrl + sep + name + "=" + value; + return anchorParts.join("#"); + }; + + return { + title: result.item.title, + section: result.item.section, + href: addParam(result.item.href, kQueryArg, query), + text: highlightMatch(query, result.item.text), + crumbs: result.item.crumbs, + }; + }); + + // If we don't have a subfuse and the query is long enough, go ahead + // and create a subfuse to use for subsequent queries + if ( + now - then > kFuseMaxWait && + subSearchFuse === undefined && + resultsRaw.length < fuseOptions.limit + ) { + subSearchTerm = query; + subSearchFuse = new window.Fuse([], kFuseIndexOptions); + resultsRaw.forEach((rr) => { + subSearchFuse.add(rr.item); + }); + } + return results; +} diff --git a/docs/site_libs/tabwid-1.1.3/tabwid.css b/docs/site_libs/tabwid-1.1.3/tabwid.css new file mode 100644 index 00000000..5e31a86c --- /dev/null +++ b/docs/site_libs/tabwid-1.1.3/tabwid.css @@ -0,0 +1,42 @@ +.tabwid { + font-size: initial; + 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a/docs/slides/css/animate.css b/docs/slides/css/animate.css new file mode 100644 index 00000000..d26682f8 --- /dev/null +++ b/docs/slides/css/animate.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/docs/slides/css/ath-inferno-fonts.css b/docs/slides/css/ath-inferno-fonts.css new file mode 100644 index 00000000..96634d2f --- /dev/null +++ b/docs/slides/css/ath-inferno-fonts.css @@ -0,0 +1,14 @@ +@import url('https://fonts.googleapis.com/css2?family=Fira+Sans+Condensed:ital,wght@0,300;0,400;0,600;0,900;1,300;1,400;1,600;1,900&display=swap'); +@import url('https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@400;700&display=swap'); + +body, h1, h2, h3 { + font-family: 'Fira Sans Condensed', sans; +} + +h1, h2, h3 { + font-weight: 600; +} + +.remark-code, .remark-inline-code { + font-family: 'Source Code Pro', 'Lucida Console', Monaco, monospace; +} diff --git a/docs/slides/css/ath-slides.css b/docs/slides/css/ath-slides.css new file mode 100644 index 00000000..9cc81f95 --- /dev/null +++ b/docs/slides/css/ath-slides.css @@ -0,0 +1,618 @@ +/* +Typography +*/ +.remark-slide-content { + font-size: 40px; + /* Base font size */ + padding: 1em 1em 1em 1em; +} + +.remark-slide-content p { + margin: 0.5em 0; +} + +.remark-slide-content h1 { + font-size: 1.7em; + line-height: 1em; + margin-top: 0; + text-align: center; +} + +.huge { + font-size: 2.2em; +} + +.large { + font-size: 1.7em; +} + +.normal { + font-size: 1em; +} + +.medium { + font-size: 1.4em; +} + +.less-medium { + font-size: 1.2em; +} + +.SMALL { + /* CURSE YOU LATEX */ + font-size: 0.9em; +} + +.small { + font-size: 0.8em; +} + +.smaller { + font-size: 0.65em; +} + +.tiny { + font-size: 0.5em; +} + +.light { + font-weight: 300; +} + +.full-width { + width: 100%; +} + +.remark-slide-number { + font-size: 15px; +} + +figure { + margin: 15px; +} + +figcaption { + font-size: 0.5em; +} + +.pull-left h2, +.pull-right h2, +.pull-left-3 h2, +.pull-middle-3 h2, +.pull-right-3 h2 { + margin-top: 0.3em; +} + +.cell-left { + text-align: left; +} + +.cell-right { + text-align: right; +} + +.cell-center { + text-align: center; +} + +.frame { + border: 1px #000000 solid; + padding: 20px; + box-sizing: border-box; +} + +.bg-full { + background-size: cover; +} + +.bg-90 { + background-size: 90%; + background-position-y: 30%; +} + +.bg-y-75 { + background-position-y: 75%; +} + +.sp-before { + margin-top: 1em !important; +} + +.sp-before { + margin-top: 0.7em !important; +} + +.sp-after { + margin-bottom: 1em !important; +} + +.sp-after-half { + margin-bottom: 0.7em !important; +} + +.remark-code, +.remark-inline-code { + font-size: 0.75em; +} + +/* Side-by-side code/plot stuff https://www.garrickadenbuie.com/blog/decouple-code-and-output-in-xaringan-slides/ */ +.left-code { + color: #777; + width: 48%; + height: 92%; + float: left; +} + +.right-plot { + width: 50%; + float: right; + padding-left: 1%; +} + +.right-code { + color: #777; + width: 48%; + height: 92%; + float: right; +} + +.left-plot { + width: 50%; + float: left; + padding-right: 1%; +} + +.left-code .remark-code, +.left-code .remark-inline-code, +.right-code .remark-code, +.right-code .remark-inline-code { + font-size: 0.5em; +} + +.small-code .remark-code, +.small-code .remark-inline-code { + font-size: 0.5em; +} + +/* +Main title and section title slides +*/ +.main-title { + color: #FFFFFF; +} + +.main-title { + text-align: center; +} + +.main-title h1 { + font-weight: 900; + font-size: 2.8em; + line-height: 1.2; + margin-bottom: 2em; +} + +.main-title p { + font-size: 0.8em; +} + +.main-title .class-info { + position: absolute; + width: 100%; + left: 0; + bottom: calc(0% + 0.5em); +} + +.section-title h1, +.section-title-inv h1 { + color: #FFFFFF; + font-size: 2.3em; + line-height: 1.3; +} + +/* +Three column layout +*/ +.pull-left-3 { + float: left; + width: 30%; + padding: 0 2.5% 0 0; +} + +.pull-middle-3 { + float: left; + width: 30%; + padding: 0 2.5%; +} + +.pull-right-3 { + float: right; + width: 30%; + padding: 0 0 0 2.5%; +} + +.pull-right-3 ~ * { + clear: both; +} + +/* +Wider pull left/right +*/ +.pull-left-wide { + float: left; + width: 65%; +} + +.pull-left-narrow { + float: left; + width: 32%; +} + +.pull-right-wide { + float: right; + width: 65%; +} + +.pull-right-narrow { + float: right; + width: 32%; +} + +.pull-right-narrow ~ *, +.pull-right-wide ~ * { + clear: both; +} + +/* +Slides with title bars at the top +*/ +.title { + padding-top: 0em; + border-top: 110px solid #777777; +} + +.title h1 { + margin-top: -85px; + margin-bottom: 50px; +} + +.title-1 { + border-top-color: #170C3A; +} + +.title-2 { + border-top-color: #480B6A; +} + +.title-3 { + border-top-color: #771C6D; +} + +.title-4 { + border-top-color: #A52C60; +} + +.title-5 { + border-top-color: #CF4446; +} + +.title-6 { + border-top-color: #EE6A24; +} + +.title-7 { + border-top-color: #FB9E07; +} + +.title-8 { + border-top-color: #F6D645; +} + +.title-inv-1 { + border-top-color: #B1AEC4; +} + +.title-inv-2 { + border-top-color: #CCAEED; +} + +.title-inv-3 { + border-top-color: #F5ABEA; +} + +.title-inv-4 { + border-top-color: #FFB7CD; +} + +.title-inv-5 { + border-top-color: #FFC6C6; +} + +.title-inv-6 { + border-top-color: #FFD3CA; +} + +.title-inv-7 { + border-top-color: #FFE2D0; +} + +.title-inv-8 { + border-top-color: #FFF2CE; +} + +/* +General color classes +*/ +.color-1 { + color: #170C3A; +} + +.color-2 { + color: #480B6A; +} + +.color-3 { + color: #771C6D; +} + +.color-4 { + color: #A52C60; +} + +.color-5 { + color: #CF4446; +} + +.color-6 { + color: #EE6A24; +} + +.color-7 { + color: #FB9E07; +} + +.color-8 { + color: #F6D645; +} + +.color-light-1 { + color: #B1AEC4; +} + +.color-light-2 { + color: #CCAEED; +} + +.color-light-3 { + color: #F5ABEA; +} + +.color-light-4 { + color: #FFB7CD; +} + +.color-light-5 { + color: #FFC6C6; +} + +.color-light-6 { + color: #FFD3CA; +} + +.color-light-7 { + color: #FFE2D0; +} + +.color-light-8 { + color: #FFF2CE; +} + +/* +Coloring and inverse coloring in title bars and content boxes +*/ +.box-1, +.section-title-1 { + background-color: #170C3A; +} + +.box-2, +.section-title-2 { + background-color: #480B6A; +} + +.box-3, +.section-title-3 { + background-color: #771C6D; +} + +.box-4, +.section-title-4 { + background-color: #A52C60; +} + +.box-5, +.section-title-5 { + background-color: #CF4446; +} + +.box-6, +.section-title-6 { + background-color: #EE6A24; +} + +.box-7, +.section-title-7 { + background-color: #FB9E07; +} + +.box-8, +.section-title-8 { + background-color: #F6D645; +} + +.box-inv-1, +.section-title-inv-1 { + background-color: #B1AEC4; +} + +.box-inv-2, +.section-title-inv-2 { + background-color: #CCAEED; +} + +.box-inv-3, +.section-title-inv-3 { + background-color: #F5ABEA; +} + +.box-inv-4, +.section-title-inv-4 { + background-color: #FFB7CD; +} + +.box-inv-5, +.section-title-inv-5 { + background-color: #FFC6C6; +} + +.box-inv-6, +.section-title-inv-6 { + background-color: #FFD3CA; +} + +.box-inv-7, +.section-title-inv-7 { + background-color: #FFE2D0; +} + +.box-inv-8, +.section-title-inv-8 { + background-color: #FFF2CE; +} + +.box-inv-1, +.title-inv-1 h1, +.section-title-inv-1 h1 { + color: #170C3A; +} + +.box-inv-2, +.title-inv-2 h1, +.section-title-inv-2 h1 { + color: #480B6A; +} + +.box-inv-3, +.title-inv-3 h1, +.section-title-inv-3 h1 { + color: #771C6D; +} + +.box-inv-4, +.title-inv-4 h1, +.section-title-inv-4 h1 { + color: #A52C60; +} + +.box-inv-5, +.title-inv-5 h1, +.section-title-inv-5 h1 { + color: #CF4446; +} + +.box-inv-6, +.title-inv-6 h1, +.section-title-inv-6 h1 { + color: #EE6A24; +} + +.box-inv-7, +.title-inv-7 h1, +.section-title-inv-7 h1 { + color: #FB9E07; +} + +.box-inv-8, +.title-inv-8 h1, +.section-title-inv-8 h1 { + color: #F6D645; +} + +.box-8, .box-7, .box-6, .box-5, .box-4, .box-3, .box-2, .box-1, .title-8 h1, .title-7 h1, .title-6 h1, .title-5 h1, .title-4 h1, .title-3 h1, .title-2 h1, .title-1 h1, .section-title h1 { + color: #FFFFFF; +} + +.box-8, .box-inv-8, .box-7, .box-inv-7, .box-6, .box-inv-6, .box-5, .box-inv-5, .box-4, .box-inv-4, .box-3, .box-inv-3, .box-2, .box-inv-2, .box-1, .box-inv-1 { + margin: 0em auto; + overflow: hidden; + padding: 0.1em 0.4em; + font-weight: 600; + display: table; + text-align: center; +} + +.float-left { + text-align: left; +} + +.float-right { + text-align: right; +} + +.float-left .box-1, .float-left .box-inv-1, +.float-right .box-1, .float-right .box-inv-1 { + display: inline; +} + +.float-left .box-2, .float-left .box-inv-2, +.float-right .box-2, .float-right .box-inv-2 { + display: inline; +} + +.float-left .box-3, .float-left .box-inv-3, +.float-right .box-3, .float-right .box-inv-3 { + display: inline; +} + +.float-left .box-4, .float-left .box-inv-4, +.float-right .box-4, .float-right .box-inv-4 { + display: inline; +} + +.float-left .box-5, .float-left .box-inv-5, +.float-right .box-5, .float-right .box-inv-5 { + display: inline; +} + +.float-left .box-6, .float-left .box-inv-6, +.float-right .box-6, .float-right .box-inv-6 { + display: inline; +} + +.float-left .box-7, .float-left .box-inv-7, +.float-right .box-7, .float-right .box-inv-7 { + display: inline; +} + +.float-left .box-8, .float-left .box-inv-8, +.float-right .box-8, .float-right .box-inv-8 { + display: inline; +} + +/* Corner ribbon */ +/* Adapted from https://codepen.io/eode9/pen/twkKm */ +.corner-ribbon { + width: 425px; + position: fixed; + top: auto; + bottom: 50px; + left: -85px; + transform: rotate(35deg); + -webkit-transform: rotate(35deg); + box-shadow: 0 0 3px rgba(0, 0, 0, 0.3); + text-align: center; + font-size: 0.6em; + padding: 0.25em 0; + background: #A52C60; + color: #FFFFFF; +} diff --git a/docs/slides/css/ath-slides.scss b/docs/slides/css/ath-slides.scss new file mode 100644 index 00000000..81e3c8b4 --- /dev/null +++ b/docs/slides/css/ath-slides.scss @@ -0,0 +1,476 @@ + +// Plasma colors +$colors-dark: ( + #170C3A, /* 1: Grim Reaper */ + #480B6A, /* 2: Obsidian Shell */ + #771C6D, /* 3: Pure Purple */ + #A52C60, /* 4: Parlour Red */ + #CF4446, /* 5: Bullfighters Red */ + #EE6A24, /* 6: Fuego Nuevo */ + #FB9E07, /* 7: Bonus Level */ + #F6D645 /* 8: Python Yellow */ +); + +$colors-light: ( + #B1AEC4, /* 1: Noble Purple */ + #CCAEED, /* 2: Purple Sand */ + #F5ABEA, /* 3: Pinky Swear */ + #FFB7CD, /* 4: Baby Pink */ + #FFC6C6, /* 5: Cinderella Pink */ + #FFD3CA, /* 6: Pale Jasper */ + #FFE2D0, /* 7: Powdered Peach */ + #FFF2CE /* 8: Bird's Child */ +); + + +/* +Typography +*/ +.remark-slide-content { + font-size: 40px; /* Base font size */ + padding: 1em 1em 1em 1em; +} + +.remark-slide-content p { + margin: 0.5em 0; +} + +.remark-slide-content h1 { + font-size: 1.7em; + line-height: 1em; + margin-top: 0; + text-align: center; +} + +.huge { + font-size: 2.2em; +} + +.large { + font-size: 1.7em; +} + +.normal { + font-size: 1em; +} + +.medium { + font-size: 1.4em; +} + +.less-medium { + font-size: 1.2em; +} + +.SMALL { + /* CURSE YOU LATEX */ + font-size: 0.9em; +} + +.small { + font-size: 0.8em; +} + +.smaller { + font-size: 0.65em; +} + +.tiny { + font-size: 0.5em; +} + +.light { + font-weight: 300; +} + +.full-width { + width: 100%; +} + +.remark-slide-number { + font-size: 15px; +} + +figure { + margin: 15px; +} + +figcaption { + font-size: 0.5em; +} + +.pull-left h2, +.pull-right h2, +.pull-left-3 h2, +.pull-middle-3 h2, +.pull-right-3 h2 { + margin-top: 0.3em; +} + +.cell-left { + text-align: left; +} + +.cell-right { + text-align: right; +} + +.cell-center { + text-align: center; +} + +.frame { + border: 1px #000000 solid; + padding: 20px; + box-sizing: border-box; +} + +.bg-full { + background-size: cover; +} + +.bg-90 { + background-size: 90%; + background-position-y: 30%; +} + +.bg-y-75 { + background-position-y: 75%; +} + +.sp-before { + margin-top: 1em !important; +} + +.sp-before { + margin-top: 0.7em !important; +} + +.sp-after { + margin-bottom: 1em !important; +} + +.sp-after-half { + margin-bottom: 0.7em !important; +} + +.remark-code, +.remark-inline-code { + font-size: 0.75em; +} + +/* Side-by-side code/plot stuff https://www.garrickadenbuie.com/blog/decouple-code-and-output-in-xaringan-slides/ */ +.left-code { + color: #777; + width: 48%; + height: 92%; + float: left; +} + +.right-plot { + width: 50%; + float: right; + padding-left: 1%; +} + +.right-code { + color: #777; + width: 48%; + height: 92%; + float: right; +} + +.left-plot { + width: 50%; + float: left; + padding-right: 1%; +} + +.left-code .remark-code, +.left-code .remark-inline-code, +.right-code .remark-code, +.right-code .remark-inline-code{ + font-size: 0.5em; +} + +.small-code .remark-code, +.small-code .remark-inline-code { + font-size: 0.5em; +} + +/* +Main title and section title slides +*/ +.main-title { + color: #FFFFFF; +} + +.main-title { + text-align: center; +} + +.main-title h1 { + font-weight: 900; + font-size: 2.8em; + line-height: 1.2; + margin-bottom: 2em; +} + +.main-title p { + font-size: 0.8em; +} + +.main-title .class-info { + position: absolute; + width: 100%; + left: 0; + bottom: calc(0% + 0.5em); +} + +.section-title h1, +.section-title-inv h1 { + color: #FFFFFF; + font-size: 2.3em; + line-height: 1.3; +} + + +/* +Three column layout +*/ +.pull-left-3 { + float: left; + width: 30%; + padding: 0 2.5% 0 0; +} + +.pull-middle-3 { + float: left; + width: 30%; + padding: 0 2.5%; +} + +.pull-right-3 { + float: right; + width: 30%; + padding: 0 0 0 2.5%; +} + +.pull-right-3 ~ * { + clear: both; +} + +/* +Wider pull left/right +*/ + +.pull-left-wide { + float: left; + width: 65%; +} + +.pull-left-narrow { + float: left; + width: 32%; +} + +.pull-right-wide { + float: right; + width: 65%; +} + +.pull-right-narrow { + float: right; + width: 32%; +} + +.pull-right-narrow ~ *, +.pull-right-wide ~ * { + clear: both; +} + + +/* +Slides with title bars at the top +*/ +.title { + padding-top: 0em; + border-top: 110px solid #777777; +} + +.title h1 { + margin-top: -85px; + margin-bottom: 50px; +} + +// Change the color of the top bar. This generates the following CSS: +// +// .title-N { +// border-top-color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .title-#{$i} { + border-top-color: $current-color; + } +} + +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .title-inv-#{$i} { + border-top-color: $current-color; + } +} + +/* +General color classes +*/ + +// This generates the following CSS: +// +// .color-N { +// color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .color-#{$i} { + color: $current-color; + } +} + +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .color-light-#{$i} { + color: $current-color; + } +} + + +/* +Coloring and inverse coloring in title bars and content boxes +*/ + +// This generates the following CSS: +// +// .box-N, +// .section-title-N { +// background-color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .box-#{$i}, + .section-title-#{$i} { + background-color: $current-color; + } +} + +// This generates the following CSS: +// +// .box-inv-N, +// .section-title-inv-N { +// background-color: $colors-light[N]; +// } +@each $current-color in $colors-light { + $i: index($colors-light, $current-color); + + .box-inv-#{$i}, + .section-title-inv-#{$i} { + background-color: $current-color; + } +} + +// This generates the following CSS: +// +// .box-inv-N, +// .title-inv-N h1 { +// color: $colors-dark[N]; +// } +@each $current-color in $colors-dark { + $i: index($colors-dark, $current-color); + + .box-inv-#{$i}, + .title-inv-#{$i} h1, + .section-title-inv-#{$i} h1 { + color: $current-color; + } +} + + +// Make all h1s in section titles and titles use white text +// This uses @extend to make a comma-separated list of properties, like so: +// .section-title h1, .title-1 h1, .title-2 h1, ... +%white-text { + color: #FFFFFF; +} + +.section-title h1 { + @extend %white-text; +} + +@for $i from 1 through length($colors-dark) { + .title-#{$i} h1 { + @extend %white-text; + } +} + +// Make all dark boxes use white text. The %selector is a placeholder. +@for $i from 1 through length($colors-dark) { + .box-#{$i} { + @extend %white-text; + } +} + +// Settings for all the boxes, based on the %box-settings placeholder +%box-settings { + margin: 0em auto; + overflow: hidden; + padding: 0.1em 0.4em; + font-weight: 600; + display: table; + text-align: center; +} + +@for $i from 1 through length($colors-dark) { + .box-#{$i}, .box-inv-#{$i} { + @extend %box-settings; + } +} + +.float-left { + text-align: left; +} + +.float-right { + text-align: right; +} + +@for $i from 1 through length($colors-dark) { + .float-left .box-#{$i}, .float-left .box-inv-#{$i}, + .float-right .box-#{$i}, .float-right .box-inv-#{$i} { + display: inline; + } +} + + +/* Corner ribbon */ +/* Adapted from https://codepen.io/eode9/pen/twkKm */ +.corner-ribbon { + width: 425px; + position: fixed; + top: auto; + bottom: 50px; + left: -85px; + transform: rotate(35deg); + -webkit-transform: rotate(35deg); + box-shadow: 0 0 3px rgba(0, 0, 0, .3); + text-align: center; + font-size: 0.6em; + padding: 0.25em 0; + background: nth($colors-dark, 4); + color: #FFFFFF; +} diff --git a/docs/slides/css/custom_2020.css b/docs/slides/css/custom_2020.css new file mode 100644 index 00000000..c4b3b19e --- /dev/null +++ b/docs/slides/css/custom_2020.css @@ -0,0 +1,441 @@ +/* ------------------------------------------------------- + * + * !! This file was generated by xaringanthemer !! + * + * Changes made to this file directly will be overwritten + * if you used xaringanthemer in your xaringan slides Rmd + * + * Issues or likes? + * - https://github.com/gadenbuie/xaringanthemer + * - https://www.garrickadenbuie.com + * + * Need help? Try: + * - vignette(package = "xaringanthemer") + * - ?xaringanthemer::write_xaringan_theme + * - xaringan wiki: https://github.com/yihui/xaringan/wiki + * - remarkjs wiki: https://github.com/gnab/remark/wiki + * + * ------------------------------------------------------- */ +@import url(https://fonts.googleapis.com/css?family=Droid+Serif:400,700,400italic); +@import url(https://fonts.googleapis.com/css?family=Yanone+Kaffeesatz); +@import url(https://fonts.googleapis.com/css?family=Source+Code+Pro:400,700); +@import url(https://fonts.googleapis.com/css?family=sourcesans); + +.title-slide .remark-slide-number { + display: none; +} + +body { + font-family: 'Droid Serif', 'Palatino Linotype', 'Book Antiqua', Palatino, 'Microsoft YaHei', 'Songti SC', serif; + font-weight: normal; + color: #000; +} +h1, h2, h3 { + font-family: 'Yanone Kaffeesatz'; + font-weight: normal; + color: #dc322f; + margin-bottom:0.2px; +} +.remark-slide-content { + background-color: #FFF; + font-size: 35px; + + + 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+ diff --git a/docs/slides/libs/animate.css-3.7.2/animate.xaringan.css b/docs/slides/libs/animate.css-3.7.2/animate.xaringan.css new file mode 100644 index 00000000..f4aaae56 --- /dev/null +++ b/docs/slides/libs/animate.css-3.7.2/animate.xaringan.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.remark-visible .bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.remark-visible .flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.remark-visible .shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.remark-visible .headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.remark-visible .swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.remark-visible .jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.remark-fading .bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.remark-fading .fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.remark-visible .animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.remark-fading .lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.remark-fading .rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.remark-visible .hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.remark-fading .rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.remark-visible .zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.remark-fading .zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.remark-fading .zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.remark-fading .zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/docs/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css b/docs/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css new file mode 100644 index 00000000..508ceb01 --- /dev/null +++ b/docs/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css @@ -0,0 +1,31 @@ +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .remark-slide-content:not(.no-animation), .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +.remark-visible .remark-slide-content { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} diff --git a/docs/slides/libs/animate.css-xaringan/animate.fade.css b/docs/slides/libs/animate.css-xaringan/animate.fade.css new file mode 100644 index 00000000..508ceb01 --- /dev/null +++ b/docs/slides/libs/animate.css-xaringan/animate.fade.css @@ -0,0 +1,31 @@ +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .remark-slide-content:not(.no-animation), .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +.remark-visible .remark-slide-content { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} diff --git a/docs/slides/libs/animate.css/animate.xaringan.css b/docs/slides/libs/animate.css/animate.xaringan.css new file mode 100644 index 00000000..f4aaae56 --- /dev/null +++ b/docs/slides/libs/animate.css/animate.xaringan.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.remark-visible .bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.remark-visible .flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.remark-visible .shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.remark-visible .headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.remark-visible .swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.remark-visible .jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.remark-fading .bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.remark-fading .fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.remark-visible .animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.remark-fading .lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.remark-fading .rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.remark-visible .hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.remark-fading .rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.remark-visible .zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.remark-fading .zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.remark-fading .zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.remark-fading .zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/docs/slides/libs/clipboard-2.0.6/clipboard.min.js b/docs/slides/libs/clipboard-2.0.6/clipboard.min.js new file mode 100644 index 00000000..28650f3c --- /dev/null +++ b/docs/slides/libs/clipboard-2.0.6/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.6 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return o={},r.m=n=[function(t,e){t.exports=function(t){var e;if("SELECT"===t.nodeName)t.focus(),e=t.value;else if("INPUT"===t.nodeName||"TEXTAREA"===t.nodeName){var n=t.hasAttribute("readonly");n||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),n||t.removeAttribute("readonly"),e=t.value}else{t.hasAttribute("contenteditable")&&t.focus();var o=window.getSelection(),r=document.createRange();r.selectNodeContents(t),o.removeAllRanges(),o.addRange(r),e=o.toString()}return e}},function(t,e){function n(){}n.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o noup * 2 && secs % noup > 0) { return; } + } + + // should we apply or remove warning class? + warnwhen = timer.div.dataset.warnwhen; + if (warnwhen && warnwhen > 0) { + if (secs <= warnwhen && !timer.div.classList.contains("warning")) { + timer.div.classList.add("warning"); + } else if (secs > warnwhen && timer.div.classList.contains("warning")) { + timer.div.classList.remove("warning"); + } + } + + var mins = Math.floor(secs / 60); // 1 min = 60 secs + secs -= mins * 60; + + // Update HTML + timer.min.innerHTML = String(mins).padStart(2, 0); + timer.sec.innerHTML = String(secs).padStart(2, 0); +} +var countdown = function (e) { + target = e.target; + if (target.classList.contains("countdown-digits")) { + target = target.parentElement; + } + if (target.tagName == "CODE") { + target = target.parentElement; + } + + // Init counter + if (!counters.timer.hasOwnProperty(target.id)) { + counters.timer[target.id] = {}; + // Set the containers + counters.timer[target.id].min = target.getElementsByClassName("minutes")[0]; + counters.timer[target.id].sec = target.getElementsByClassName("seconds")[0]; + counters.timer[target.id].div = target; + } + + if (!counters.timer[target.id].running) { + if (!counters.timer[target.id].end) { + counters.timer[target.id].end = parseInt(counters.timer[target.id].min.innerHTML) * 60; + counters.timer[target.id].end += parseInt(counters.timer[target.id].sec.innerHTML); + } + + counters.timer[target.id].value = counters.timer[target.id].end; + update_timer(counters.timer[target.id]); + if (counters.ticker) counters.timer[target.id].value += 1; + + // Start if not past end date + if (counters.timer[target.id].value > 0) { + base_class = target.className.replace(/\s?(running|finished)/, "") + target.className = base_class + " running"; + counters.timer[target.id].running = true; + + if (!counters.ticker) { + counters.ticker = setInterval(counter_update_all, 1000); + } + } + } else { + // Bump timer value if running & clicked + counters.timer[target.id].value += counter_bump_increment(counters.timer[target.id].end); + update_timer(counters.timer[target.id], force = true); + counters.timer[target.id].value += 1; + } +}; + +var counter_bump_increment = function(val) { + if (val <= 30) { + return 5; + } else if (val <= 300) { + return 15; + } else if (val <= 3000) { + return 30; + } else { + return 60; + } +} + +var counter_update_all = function() { + // Iterate over all running timers + for (var i in counters.timer) { + // Stop if passed end time + console.log(counters.timer[i].id) + counters.timer[i].value--; + if (counters.timer[i].value <= 0) { + counters.timer[i].min.innerHTML = "00"; + counters.timer[i].sec.innerHTML = "00"; + counters.timer[i].div.className = counters.timer[i].div.className.replace("running", "finished"); + counters.timer[i].running = false; + } else { + // Update + update_timer(counters.timer[i]); + + // Play countdown sound if data-audio=true on container div + let audio = counters.timer[i].div.dataset.audio + if (audio && counters.timer[i].value == 5) { + counter_play_sound(audio); + } + } + } + + // If no more running timers, then clear ticker + var timerIsRunning = false; + for (var t in counters.timer) { + timerIsRunning = timerIsRunning || counters.timer[t].running + } + if (!timerIsRunning) { + clearInterval(counters.ticker); + counters.ticker = null; + } +} + +var counter_play_sound = function(url) { + if (typeof url === 'boolean') { + url = 'libs/countdown/smb_stage_clear.mp3'; + } + sound = new Audio(url); + sound.play(); +} + +var counter_addEventListener = function() { + if (!document.getElementsByClassName("countdown").length) { + setTimeout(counter_addEventListener, 2); + return; + } + var counter_divs = document.getElementsByClassName("countdown"); + console.log(counter_divs); + for (var i = 0; i < counter_divs.length; i++) { + counter_divs[i].addEventListener("click", countdown, false); + } +}; + +counter_addEventListener(); diff --git a/docs/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 b/docs/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 new file mode 100644 index 00000000..da2ddc2c Binary files /dev/null and b/docs/slides/libs/countdown-0.3.5/smb_stage_clear.mp3 differ diff --git a/docs/slides/libs/countdown-0.4.0/countdown.css b/docs/slides/libs/countdown-0.4.0/countdown.css new file mode 100644 index 00000000..704cfa21 --- /dev/null +++ b/docs/slides/libs/countdown-0.4.0/countdown.css @@ -0,0 +1,144 @@ +.countdown { + background: inherit; + position: absolute; + cursor: pointer; + font-size: 1.5em; + line-height: 1; + border-color: #ddd; + border-width: 3px; + border-style: solid; + border-radius: 15px; + box-shadow: 0px 4px 10px 0px rgba(50, 50, 50, 0.4); + -webkit-box-shadow: 0px 4px 10px 0px rgba(50, 50, 50, 0.4); + margin: 0.6em; + padding: 10px 15px; + text-align: center; + z-index: 10; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} +.countdown { + display: flex; + align-items: center; + justify-content: center; +} +.countdown .countdown-time { + background: none; + font-size: 100%; + padding: 0; +} +.countdown-digits { + color: inherit; +} +.countdown.running { + border-color: #2A9B59FF; + background-color: #43AC6A; +} +.countdown.running .countdown-digits { + color: #002F14FF; +} +.countdown.finished { + border-color: #DE3000FF; + background-color: #F04124; +} +.countdown.finished .countdown-digits { + color: #4A0900FF; +} +.countdown.running.warning { + border-color: #CEAC04FF; + background-color: #E6C229; +} +.countdown.running.warning .countdown-digits { + color: #3A2F02FF; +} + +.countdown.running.blink-colon .countdown-digits.colon { + opacity: 0.1; +} + +/* ------ Controls ------ */ +.countdown:not(.running) .countdown-controls { + display: none; +} + +.countdown-controls { + position: absolute; + top: -0.5rem; + right: -0.5rem; + left: -0.5rem; + display: flex; + justify-content: space-between; + margin: 0; + padding: 0; +} + +.countdown-controls > button { + font-size: 1.5rem; + width: 1rem; + height: 1rem; + display: inline-block; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + font-family: monospace; + padding: 10px; + margin: 0; + background: inherit; + border: 2px solid; + border-radius: 100%; + transition: 50ms transform ease-in-out, 150ms opacity ease-in; + --countdown-transition-distance: 10px; +} + +.countdown .countdown-controls > button:last-child { + transform: translate(calc(-1 * var(--countdown-transition-distance)), var(--countdown-transition-distance)); + opacity: 0; + color: #002F14FF; + background-color: #43AC6A; + border-color: #2A9B59FF; +} + +.countdown .countdown-controls > button:first-child { + transform: translate(var(--countdown-transition-distance), var(--countdown-transition-distance)); + opacity: 0; + color: #4A0900FF; + background-color: #F04124; + border-color: #DE3000FF; +} + +.countdown.running:hover .countdown-controls > button, +.countdown.running:focus-within .countdown-controls > button{ + transform: translate(0, 0); + opacity: 1; +} + +.countdown.running:hover .countdown-controls > button:hover, +.countdown.running:focus-within .countdown-controls > button:hover{ + transform: translate(0, calc(var(--countdown-transition-distance) / -2)); + box-shadow: 0px 2px 5px 0px rgba(50, 50, 50, 0.4); + -webkit-box-shadow: 0px 2px 5px 0px rgba(50, 50, 50, 0.4); +} + +.countdown.running:hover .countdown-controls > button:active, +.countdown.running:focus-within .countdown-controls > button:active{ + transform: translate(0, calc(var(--coutndown-transition-distance) / -5)); +} + +/* ----- Fullscreen ----- */ +.countdown.countdown-fullscreen { + z-index: 0; +} + +.countdown-fullscreen.running .countdown-controls { + top: 1rem; + left: 0; + right: 0; + justify-content: center; +} + +.countdown-fullscreen.running .countdown-controls > button + button { + margin-left: 1rem; +} diff --git a/docs/slides/libs/countdown-0.4.0/countdown.js b/docs/slides/libs/countdown-0.4.0/countdown.js new file mode 100644 index 00000000..a058ad8f --- /dev/null +++ b/docs/slides/libs/countdown-0.4.0/countdown.js @@ -0,0 +1,478 @@ +/* globals Shiny,Audio */ +class CountdownTimer { + constructor (el, opts) { + if (typeof el === 'string' || el instanceof String) { + el = document.querySelector(el) + } + + if (el.counter) { + return el.counter + } + + const minutes = parseInt(el.querySelector('.minutes').innerText || '0') + const seconds = parseInt(el.querySelector('.seconds').innerText || '0') + const duration = minutes * 60 + seconds + + function attrIsTrue (x) { + if (x === true) return true + return !!(x === 'true' || x === '' || x === '1') + } + + this.element = el + this.duration = duration + this.end = null + this.is_running = false + this.warn_when = parseInt(el.dataset.warnWhen) || -1 + this.update_every = parseInt(el.dataset.updateEvery) || 1 + this.play_sound = attrIsTrue(el.dataset.playSound) + this.blink_colon = attrIsTrue(el.dataset.blinkColon) + this.startImmediately = attrIsTrue(el.dataset.startImmediately) + this.timeout = null + this.display = { minutes, seconds } + + if (opts.src_location) { + this.src_location = opts.src_location + } + + this.addEventListeners() + } + + addEventListeners () { + const self = this + + if (this.startImmediately) { + if (window.remark && window.slideshow) { + // Remark (xaringan) support + const isOnVisibleSlide = () => { + return document.querySelector('.remark-visible').contains(self.element) + } + if (isOnVisibleSlide()) { + self.start() + } else { + let started_once = 0 + window.slideshow.on('afterShowSlide', function () { + if (started_once > 0) return + if (isOnVisibleSlide()) { + self.start() + started_once = 1 + } + }) + } + } else if (window.Reveal) { + // Revealjs (quarto) support + const isOnVisibleSlide = () => { + const currentSlide = document.querySelector('.reveal .slide.present') + return currentSlide ? currentSlide.contains(self.element) : false + } + if (isOnVisibleSlide()) { + self.start() + } else { + const revealStartTimer = () => { + if (isOnVisibleSlide()) { + self.start() + window.Reveal.off('slidechanged', revealStartTimer) + } + } + window.Reveal.on('slidechanged', revealStartTimer) + } + } else if (window.IntersectionObserver) { + // All other situtations use IntersectionObserver + const onVisible = (element, callback) => { + new window.IntersectionObserver((entries, observer) => { + entries.forEach(entry => { + if (entry.intersectionRatio > 0) { + callback(element) + observer.disconnect() + } + }) + }).observe(element) + } + onVisible(this.element, el => el.countdown.start()) + } else { + // or just start the timer as soon as it's initialized + this.start() + } + } + + function haltEvent (ev) { + ev.preventDefault() + ev.stopPropagation() + } + function isSpaceOrEnter (ev) { + return ev.code === 'Space' || ev.code === 'Enter' + } + function isArrowUpOrDown (ev) { + return ev.code === 'ArrowUp' || ev.code === 'ArrowDown' + } + + ;['click', 'touchend'].forEach(function (eventType) { + self.element.addEventListener(eventType, function (ev) { + haltEvent(ev) + self.is_running ? self.stop() : self.start() + }) + }) + this.element.addEventListener('keydown', function (ev) { + if (ev.code === "Escape") { + self.reset() + haltEvent(ev) + } + if (!isSpaceOrEnter(ev) && !isArrowUpOrDown(ev)) return + haltEvent(ev) + if (isSpaceOrEnter(ev)) { + self.is_running ? self.stop() : self.start() + return + } + + if (!self.is_running) return + + if (ev.code === 'ArrowUp') { + self.bumpUp() + } else if (ev.code === 'ArrowDown') { + self.bumpDown() + } + }) + this.element.addEventListener('dblclick', function (ev) { + haltEvent(ev) + if (self.is_running) self.reset() + }) + this.element.addEventListener('touchmove', haltEvent) + + const btnBumpDown = this.element.querySelector('.countdown-bump-down') + ;['click', 'touchend'].forEach(function (eventType) { + btnBumpDown.addEventListener(eventType, function (ev) { + haltEvent(ev) + if (self.is_running) self.bumpDown() + }) + }) + btnBumpDown.addEventListener('keydown', function (ev) { + if (!isSpaceOrEnter(ev) || !self.is_running) return + haltEvent(ev) + self.bumpDown() + }) + + const btnBumpUp = this.element.querySelector('.countdown-bump-up') + ;['click', 'touchend'].forEach(function (eventType) { + btnBumpUp.addEventListener(eventType, function (ev) { + haltEvent(ev) + if (self.is_running) self.bumpUp() + }) + }) + btnBumpUp.addEventListener('keydown', function (ev) { + if (!isSpaceOrEnter(ev) || !self.is_running) return + haltEvent(ev) + self.bumpUp() + }) + this.element.querySelector('.countdown-controls').addEventListener('dblclick', function (ev) { + haltEvent(ev) + }) + } + + remainingTime () { + const remaining = this.is_running + ? (this.end - Date.now()) / 1000 + : this.remaining || this.duration + + let minutes = Math.floor(remaining / 60) + let seconds = Math.ceil(remaining - minutes * 60) + + if (seconds > 59) { + minutes = minutes + 1 + seconds = seconds - 60 + } + + return { remaining, minutes, seconds } + } + + start () { + if (this.is_running) return + + this.is_running = true + + if (this.remaining) { + // Having a static remaining time indicates timer was paused + this.end = Date.now() + this.remaining * 1000 + this.remaining = null + } else { + this.end = Date.now() + this.duration * 1000 + } + + this.reportStateToShiny('start') + + this.element.classList.remove('finished') + this.element.classList.add('running') + this.update(true) + this.tick() + } + + tick (run_again) { + if (typeof run_again === 'undefined') { + run_again = true + } + + if (!this.is_running) return + + const { seconds: secondsWas } = this.display + this.update() + + if (run_again) { + const delay = (this.end - Date.now() > 10000) ? 1000 : 250 + this.blinkColon(secondsWas) + this.timeout = setTimeout(this.tick.bind(this), delay) + } + } + + blinkColon (secondsWas) { + // don't blink unless option is set + if (!this.blink_colon) return + // warn_when always updates the seconds + if (this.warn_when > 0 && Date.now() + this.warn_when > this.end) { + this.element.classList.remove('blink-colon') + return + } + const { seconds: secondsIs } = this.display + if (secondsIs > 10 || secondsWas !== secondsIs) { + this.element.classList.toggle('blink-colon') + } + } + + update (force) { + if (typeof force === 'undefined') { + force = false + } + + const { remaining, minutes, seconds } = this.remainingTime() + + const setRemainingTime = (selector, time) => { + const timeContainer = this.element.querySelector(selector) + if (!timeContainer) return + time = Math.max(time, 0) + timeContainer.innerText = String(time).padStart(2, 0) + } + + if (this.is_running && remaining < 0.25) { + this.stop() + setRemainingTime('.minutes', 0) + setRemainingTime('.seconds', 0) + this.playSound() + return + } + + const should_update = force || + Math.round(remaining) < this.warn_when || + Math.round(remaining) % this.update_every === 0 + + if (should_update) { + this.element.classList.toggle('warning', remaining <= this.warn_when) + this.display = { minutes, seconds } + setRemainingTime('.minutes', minutes) + setRemainingTime('.seconds', seconds) + } + } + + stop () { + const { remaining } = this.remainingTime() + if (remaining > 1) { + this.remaining = remaining + } + this.element.classList.remove('running') + this.element.classList.remove('warning') + this.element.classList.remove('blink-colon') + this.element.classList.add('finished') + this.is_running = false + this.end = null + this.reportStateToShiny('stop') + this.timeout = clearTimeout(this.timeout) + } + + reset () { + this.stop() + this.remaining = null + this.update(true) + this.reportStateToShiny('reset') + this.element.classList.remove('finished') + this.element.classList.remove('warning') + } + + setValues (opts) { + if (typeof opts.warn_when !== 'undefined') { + this.warn_when = opts.warn_when + } + if (typeof opts.update_every !== 'undefined') { + this.update_every = opts.update_every + } + if (typeof opts.blink_colon !== 'undefined') { + this.blink_colon = opts.blink_colon + if (!opts.blink_colon) { + this.element.classList.remove('blink-colon') + } + } + if (typeof opts.play_sound !== 'undefined') { + this.play_sound = opts.play_sound + } + if (typeof opts.duration !== 'undefined') { + this.duration = opts.duration + if (this.is_running) { + this.reset() + this.start() + } + } + this.reportStateToShiny('update') + this.update(true) + } + + bumpTimer (val, round) { + round = typeof round === 'boolean' ? round : true + const { remaining } = this.remainingTime() + let newRemaining = remaining + val + if (newRemaining <= 0) { + this.setRemaining(0) + this.stop() + return + } + if (round && newRemaining > 10) { + newRemaining = Math.round(newRemaining / 5) * 5 + } + this.setRemaining(newRemaining) + this.reportStateToShiny(val > 0 ? 'bumpUp' : 'bumpDown') + this.update(true) + } + + bumpUp (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.bumpTimer( + val || this.bumpIncrementValue(), + typeof val === 'undefined' + ) + } + + bumpDown (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.bumpTimer( + val || -1 * this.bumpIncrementValue(), + typeof val === 'undefined' + ) + } + + setRemaining (val) { + if (!this.is_running) { + console.error('timer is not running') + return + } + this.end = Date.now() + val * 1000 + this.update(true) + } + + playSound () { + let url = this.play_sound + if (!url) return + if (typeof url === 'boolean') { + const src = this.src_location + ? this.src_location.replace('/countdown.js', '') + : 'libs/countdown' + url = src + '/smb_stage_clear.mp3' + } + const sound = new Audio(url) + sound.play() + } + + bumpIncrementValue (val) { + val = val || this.remainingTime().remaining + if (val <= 30) { + return 5 + } else if (val <= 300) { + return 15 + } else if (val <= 3000) { + return 30 + } else { + return 60 + } + } + + reportStateToShiny (action) { + if (!window.Shiny) return + + const inputId = this.element.id + const data = { + event: { + action, + time: new Date().toISOString() + }, + timer: { + is_running: this.is_running, + end: this.end ? new Date(this.end).toISOString() : null, + remaining: this.remainingTime() + } + } + + function shinySetInputValue () { + if (!window.Shiny.setInputValue) { + setTimeout(shinySetInputValue, 100) + return + } + window.Shiny.setInputValue(inputId, data) + } + + shinySetInputValue() + } +} + +(function () { + const CURRENT_SCRIPT = document.currentScript.getAttribute('src') + + document.addEventListener('DOMContentLoaded', function () { + const els = document.querySelectorAll('.countdown') + if (!els || !els.length) { + return + } + els.forEach(function (el) { + el.countdown = new CountdownTimer(el, { src_location: CURRENT_SCRIPT }) + }) + + if (window.Shiny) { + Shiny.addCustomMessageHandler('countdown:update', function (x) { + if (!x.id) { + console.error('No `id` provided, cannot update countdown') + return + } + const el = document.getElementById(x.id) + el.countdown.setValues(x) + }) + + Shiny.addCustomMessageHandler('countdown:start', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.start() + }) + + Shiny.addCustomMessageHandler('countdown:stop', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.stop() + }) + + Shiny.addCustomMessageHandler('countdown:reset', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.reset() + }) + + Shiny.addCustomMessageHandler('countdown:bumpUp', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.bumpUp() + }) + + Shiny.addCustomMessageHandler('countdown:bumpDown', function (id) { + const el = document.getElementById(id) + if (!el) return + el.countdown.bumpDown() + }) + } + }) +})() diff --git a/docs/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 b/docs/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 new file mode 100644 index 00000000..da2ddc2c Binary files /dev/null and b/docs/slides/libs/countdown-0.4.0/smb_stage_clear.mp3 differ diff --git a/docs/slides/libs/fabric-4.3.1/fabric.min.js b/docs/slides/libs/fabric-4.3.1/fabric.min.js new file mode 100644 index 00000000..38f1c3d2 --- /dev/null +++ b/docs/slides/libs/fabric-4.3.1/fabric.min.js @@ -0,0 +1 @@ +var fabric=fabric||{version:"5.2.1"};if("undefined"!=typeof exports?exports.fabric=fabric:"function"==typeof define&&define.amd&&define([],function(){return fabric}),"undefined"!=typeof document&&"undefined"!=typeof window)document instanceof("undefined"!=typeof HTMLDocument?HTMLDocument:Document)?fabric.document=document:fabric.document=document.implementation.createHTMLDocument(""),fabric.window=window;else{var jsdom=require("jsdom"),virtualWindow=new jsdom.JSDOM(decodeURIComponent("%3C!DOCTYPE%20html%3E%3Chtml%3E%3Chead%3E%3C%2Fhead%3E%3Cbody%3E%3C%2Fbody%3E%3C%2Fhtml%3E"),{features:{FetchExternalResources:["img"]},resources:"usable"}).window;fabric.document=virtualWindow.document,fabric.jsdomImplForWrapper=require("jsdom/lib/jsdom/living/generated/utils").implForWrapper,fabric.nodeCanvas=require("jsdom/lib/jsdom/utils").Canvas,fabric.window=virtualWindow,DOMParser=fabric.window.DOMParser}function resizeCanvasIfNeeded(t){var e=t.targetCanvas,i=e.width,r=e.height,n=t.destinationWidth,s=t.destinationHeight;i===n&&r===s||(e.width=n,e.height=s)}function copyGLTo2DDrawImage(t,e){var i=t.canvas,r=e.targetCanvas,n=r.getContext("2d");n.translate(0,r.height),n.scale(1,-1);var s=i.height-r.height;n.drawImage(i,0,s,r.width,r.height,0,0,r.width,r.height)}function copyGLTo2DPutImageData(t,e){var i=e.targetCanvas.getContext("2d"),r=e.destinationWidth,n=e.destinationHeight,s=r*n*4,o=new Uint8Array(this.imageBuffer,0,s),a=new Uint8ClampedArray(this.imageBuffer,0,s);t.readPixels(0,0,r,n,t.RGBA,t.UNSIGNED_BYTE,o);var c=new ImageData(a,r,n);i.putImageData(c,0,0)}fabric.isTouchSupported="ontouchstart"in fabric.window||"ontouchstart"in fabric.document||fabric.window&&fabric.window.navigator&&0_)for(var C=1,S=d.length;Ct[i-2].x?1:n.x===t[i-2].x?0:-1,c=n.y>t[i-2].y?1:n.y===t[i-2].y?0:-1),r.push(["L",n.x+a*e,n.y+c*e]),r},fabric.util.getPathSegmentsInfo=l,fabric.util.getBoundsOfCurve=function(t,e,i,r,n,s,o,a){var c;if(fabric.cachesBoundsOfCurve&&(c=D.call(arguments),fabric.boundsOfCurveCache[c]))return fabric.boundsOfCurveCache[c];var h,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,h=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0/g,">")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;it.x&&this.y>t.y},gte:function(t){return this.x>=t.x&&this.y>=t.y},lerp:function(t,e){return void 0===e&&(e=.5),e=Math.max(Math.min(1,e),0),new i(this.x+(t.x-this.x)*e,this.y+(t.y-this.y)*e)},distanceFrom:function(t){var e=this.x-t.x,i=this.y-t.y;return Math.sqrt(e*e+i*i)},midPointFrom:function(t){return this.lerp(t)},min:function(t){return new i(Math.min(this.x,t.x),Math.min(this.y,t.y))},max:function(t){return new i(Math.max(this.x,t.x),Math.max(this.y,t.y))},toString:function(){return this.x+","+this.y},setXY:function(t,e){return this.x=t,this.y=e,this},setX:function(t){return this.x=t,this},setY:function(t){return this.y=t,this},setFromPoint:function(t){return this.x=t.x,this.y=t.y,this},swap:function(t){var e=this.x,i=this.y;this.x=t.x,this.y=t.y,t.x=e,t.y=i},clone:function(){return new i(this.x,this.y)}}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={});function d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var c=s/a,h=o/a;0<=c&&c<=1&&0<=h&&h<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+c*(e.x-t.x),t.y+c*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,c=i.length;for(o=0;o=c&&(h.x-=c),h.x<=-c&&(h.x+=c),h.y>=c&&(h.y-=c),h.y<=c&&(h.y+=c),h.x-=o.offsetX,h.y-=o.offsetY,h}function y(t){return t.flipX!==t.flipY}function _(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function x(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.x)-o.x,h=s.skewX;c<2?n=0:(n=v(Math.atan2(c/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),_(s,"skewY","scaleY","y",u)}return l}function C(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.y)-o.y,h=s.skewY;c<2?n=0:(n=v(Math.atan2(c/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),_(s,"skewX","scaleX","x",u)}return l}function E(t,e,i,r,n){n=n||{};var s,o,a,c,h,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=w(t,u),v=k(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=P(e,e.originX,e.originY,i,r),h="y"!==g?T(s.x):1,l="x"!==g?T(s.y):1,e.signX||(e.signX=h),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==h||e.signY!==l))return!1;if(c=u._getTransformedDimensions(),p&&!g){var b=Math.abs(s.x)+Math.abs(s.y),y=e.original,_=b/(Math.abs(c.x*y.scaleX/u.scaleX)+Math.abs(c.y*y.scaleY/u.scaleY));o=y.scaleX*_,a=y.scaleY*_}else o=Math.abs(s.x*u.scaleX/c.x),a=Math.abs(s.y*u.scaleY/c.y);O(e)&&(o*=2,a*=2),e.signX!==h&&"y"!==g&&(e.originX=S[e.originX],o*=-1,e.signX=h),e.signY!==l&&"x"!==g&&(e.originY=S[e.originY],a*=-1,e.signY=l)}var x=u.scaleX,C=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),x!==u.scaleX||C!==u.scaleY}n.scaleCursorStyleHandler=function(t,e,i){var r=w(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),k(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=b("rotating",m(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,c=Math.atan2(n.ey-o.y,n.ex-o.x),h=Math.atan2(r-o.y,i-o.x),l=v(h-c+n.theta);if(0o.r2,h=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),h[4]-=l,h[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(h)+'" ',"linear"===this.type?n=["\n']:"radial"===this.type&&(n=["\n']),"radial"===this.type){if(c)for((a=a.concat()).reverse(),i=0,r=a.length;i\n')}return n.push("linear"===this.type?"\n":"\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i\n\n\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseFloat(i[1],10)||0,offsetY:parseFloat(i[2],10)||0,blur:parseFloat(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\n\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(\d+(?:\.\d*)?(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,h=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push(""),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('\n','\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("\n',"Created with Fabric.js ",fabric.version,"\n","\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'\n'+this.clipPath.toClipPathSVG(t.reviver)+"\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,c="",h={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o',"\n",c,"","\n"].join("")),c},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r\n")}else t.push('\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],h(this._objects,i),this._objects.unshift(i);else h(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,limitedToCanvasSize:!1,_setBrushStyles:function(t){t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0},_isOutSideCanvas:function(t){return t.x<0||t.x>this.canvas.getWidth()||t.y<0||t.y>this.canvas.getHeight()}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,drawStraightLine:!1,straightLineKey:"shiftKey",initialize:function(t){this.canvas=t,this._points=[]},needsFullRender:function(){return this.callSuper("needsFullRender")||this._hasStraightLine},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],(!0!==this.limitedToCanvasSize||!this._isOutSideCanvas(t))&&this._captureDrawingPath(t)&&1"},getObjectScaling:function(){if(!this.group)return{scaleX:this.scaleX,scaleY:this.scaleY};var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return h.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",c=this.clipPath,h=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=c&&c.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return c&&(c.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='\n'+c.toClipPathSVG(s)+"\n"),l&&g.push("\n"),g.push("\n"),i=[o,h,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),c&&g.push(r),g.push(t.join("")),g.push("\n"),l&&g.push("\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.degreesToRadians;s.Circle?s.warn("fabric.Circle is already defined."):(s.Circle=s.util.createClass(s.Object,{type:"circle",radius:0,startAngle:0,endAngle:360,cacheProperties:s.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%360;if(0===e)t=["\n'];else{var i=o(this.startAngle),r=o(this.endAngle),n=this.radius;t=['\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,o(this.startAngle),o(this.endAngle),!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),s.Circle.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),s.Circle.fromElement=function(t,e){var i,r=s.parseAttributes(t,s.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new s.Circle(r))},s.Circle.fromObject=function(t,e){s.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Triangle?i.warn("fabric.Triangle is already defined"):(i.Triangle=i.util.createClass(i.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_toSVG:function(){var t=this.width/2,e=this.height/2;return["']}}),i.Triangle.fromObject=function(t,e){return i.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,c=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-c*e,o,s+r,o+c*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-c*i,s+r-c*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+c*e,o+n,s,o+n-c*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+c*i,s+c*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,c=0,h=this.path.length;c"},addWithUpdate:function(t){var e=!!this.group;return this._restoreObjectsState(),h.util.resetObjectTransform(this),t&&(e&&h.util.removeTransformFromObject(t,this.group.calcTransformMatrix()),this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.dirty=!0,e?this.group.addWithUpdate():this.setCoords(),this},removeWithUpdate:function(t){return this._restoreObjectsState(),h.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);h.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=h.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=h.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=h.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e\n"],i=0,r=this._objects.length;i\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r\n','\t\n',"\n"),o=' clip-path="url(#imageCrop_'+c+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t\n"),this.stroke||this.strokeDashArray){var h=this.fill;this.fill=null,t=["\t\n'],this.fill=h}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e=t;for(var a=["highp","mediump","lowp"],c=0;c<3;c++)if(void 0,i="precision "+a[c]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[c];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var c,h,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,c=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),h=window.performance.now()-c,c=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-c 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,c=t.imageData.data,h=c.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){var e=this.path;e&&!e.isNotVisible()&&e._render(t),this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){if(t.textBaseline="alphabetical",this.path)switch(this.pathAlign){case"center":t.textBaseline="middle";break;case"ascender":t.textBaseline="top";break;case"descender":t.textBaseline="bottom"}t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;ethis.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),c={x:e.left+o,y:e.top+e.topOffset+s},h=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/h,f=l.height/h,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return c=fabric.util.transformPoint(c,a),(c=fabric.util.transformPoint(c,this.canvas.viewportTransform)).x*=p,c.y*=v,c.x<0&&(c.x=0),c.x>d&&(c.x=d),c.y<0&&(c.y=0),c.y>g&&(c.y=g),c.x+=this.canvas._offset.left,c.y+=this.canvas._offset.top,{left:c.x+"px",top:c.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,c=s.lineIndex,h=s.charIndex;if(o!==c){if(this.styles[o])for(i=a;it?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e,i=this.getLocalPointer(t),r=0,n=0,s=0,o=0,a=0,c=0,h=this._textLines.length;cthis._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",this.hiddenTextareaContainer?this.hiddenTextareaContainer.appendChild(this.hiddenTextarea):fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},keysMapRtl:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorLeft",36:"moveCursorRight",37:"moveCursorRight",38:"moveCursorUp",39:"moveCursorLeft",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){var e="rtl"===this.direction?this.keysMapRtl:this.keysMap;if(t.keyCode in e)this[e[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,c=this._text.length,h=a.length,l=h-c,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):h=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i",t.textSpans.join(""),"\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o",fabric.util.string.escapeXml(t),""].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,c,h=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=h*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)c=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!c&&this._reSpaceAndTab.test(d[g])&&(c=!0),c||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),c=this._hasStyleChangedForSvg(n,s)),c&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,c=0,h=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;uthis.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;sthis.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n_)for(var C=1,S=d.length;Ct[i-2].x?1:n.x===t[i-2].x?0:-1,c=n.y>t[i-2].y?1:n.y===t[i-2].y?0:-1),r.push(["L",n.x+a*e,n.y+c*e]),r},fabric.util.getPathSegmentsInfo=l,fabric.util.getBoundsOfCurve=function(t,e,i,r,n,s,o,a){var c;if(fabric.cachesBoundsOfCurve&&(c=D.call(arguments),fabric.boundsOfCurveCache[c]))return fabric.boundsOfCurveCache[c];var h,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,h=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0/g,">")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;it.x&&this.y>t.y},gte:function(t){return this.x>=t.x&&this.y>=t.y},lerp:function(t,e){return void 0===e&&(e=.5),e=Math.max(Math.min(1,e),0),new i(this.x+(t.x-this.x)*e,this.y+(t.y-this.y)*e)},distanceFrom:function(t){var e=this.x-t.x,i=this.y-t.y;return Math.sqrt(e*e+i*i)},midPointFrom:function(t){return this.lerp(t)},min:function(t){return new i(Math.min(this.x,t.x),Math.min(this.y,t.y))},max:function(t){return new i(Math.max(this.x,t.x),Math.max(this.y,t.y))},toString:function(){return this.x+","+this.y},setXY:function(t,e){return this.x=t,this.y=e,this},setX:function(t){return this.x=t,this},setY:function(t){return this.y=t,this},setFromPoint:function(t){return this.x=t.x,this.y=t.y,this},swap:function(t){var e=this.x,i=this.y;this.x=t.x,this.y=t.y,t.x=e,t.y=i},clone:function(){return new i(this.x,this.y)}}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={});function d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var c=s/a,h=o/a;0<=c&&c<=1&&0<=h&&h<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+c*(e.x-t.x),t.y+c*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,c=i.length;for(o=0;o=c&&(h.x-=c),h.x<=-c&&(h.x+=c),h.y>=c&&(h.y-=c),h.y<=c&&(h.y+=c),h.x-=o.offsetX,h.y-=o.offsetY,h}function y(t){return t.flipX!==t.flipY}function _(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function x(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.x)-o.x,h=s.skewX;c<2?n=0:(n=v(Math.atan2(c/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),_(s,"skewY","scaleY","y",u)}return l}function C(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.y)-o.y,h=s.skewY;c<2?n=0:(n=v(Math.atan2(c/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),_(s,"skewX","scaleX","x",u)}return l}function E(t,e,i,r,n){n=n||{};var s,o,a,c,h,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=w(t,u),v=k(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=P(e,e.originX,e.originY,i,r),h="y"!==g?T(s.x):1,l="x"!==g?T(s.y):1,e.signX||(e.signX=h),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==h||e.signY!==l))return!1;if(c=u._getTransformedDimensions(),p&&!g){var b=Math.abs(s.x)+Math.abs(s.y),y=e.original,_=b/(Math.abs(c.x*y.scaleX/u.scaleX)+Math.abs(c.y*y.scaleY/u.scaleY));o=y.scaleX*_,a=y.scaleY*_}else o=Math.abs(s.x*u.scaleX/c.x),a=Math.abs(s.y*u.scaleY/c.y);O(e)&&(o*=2,a*=2),e.signX!==h&&"y"!==g&&(e.originX=S[e.originX],o*=-1,e.signX=h),e.signY!==l&&"x"!==g&&(e.originY=S[e.originY],a*=-1,e.signY=l)}var x=u.scaleX,C=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),x!==u.scaleX||C!==u.scaleY}n.scaleCursorStyleHandler=function(t,e,i){var r=w(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),k(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=b("rotating",m(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,c=Math.atan2(n.ey-o.y,n.ex-o.x),h=Math.atan2(r-o.y,i-o.x),l=v(h-c+n.theta);if(0o.r2,h=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),h[4]-=l,h[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(h)+'" ',"linear"===this.type?n=["\n']:"radial"===this.type&&(n=["\n']),"radial"===this.type){if(c)for((a=a.concat()).reverse(),i=0,r=a.length;i\n')}return n.push("linear"===this.type?"\n":"\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i\n\n\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseFloat(i[1],10)||0,offsetY:parseFloat(i[2],10)||0,blur:parseFloat(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\n\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(\d+(?:\.\d*)?(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,h=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push(""),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('\n','\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("\n',"Created with Fabric.js ",fabric.version,"\n","\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'\n'+this.clipPath.toClipPathSVG(t.reviver)+"\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,c="",h={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o',"\n",c,"","\n"].join("")),c},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r\n")}else t.push('\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],h(this._objects,i),this._objects.unshift(i);else h(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,limitedToCanvasSize:!1,_setBrushStyles:function(t){t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0},_isOutSideCanvas:function(t){return t.x<0||t.x>this.canvas.getWidth()||t.y<0||t.y>this.canvas.getHeight()}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,drawStraightLine:!1,straightLineKey:"shiftKey",initialize:function(t){this.canvas=t,this._points=[]},needsFullRender:function(){return this.callSuper("needsFullRender")||this._hasStraightLine},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],(!0!==this.limitedToCanvasSize||!this._isOutSideCanvas(t))&&this._captureDrawingPath(t)&&1"},getObjectScaling:function(){if(!this.group)return{scaleX:this.scaleX,scaleY:this.scaleY};var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return h.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",c=this.clipPath,h=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=c&&c.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return c&&(c.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='\n'+c.toClipPathSVG(s)+"\n"),l&&g.push("\n"),g.push("\n"),i=[o,h,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),c&&g.push(r),g.push(t.join("")),g.push("\n"),l&&g.push("\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.degreesToRadians;s.Circle?s.warn("fabric.Circle is already defined."):(s.Circle=s.util.createClass(s.Object,{type:"circle",radius:0,startAngle:0,endAngle:360,cacheProperties:s.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%360;if(0===e)t=["\n'];else{var i=o(this.startAngle),r=o(this.endAngle),n=this.radius;t=['\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,o(this.startAngle),o(this.endAngle),!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),s.Circle.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),s.Circle.fromElement=function(t,e){var i,r=s.parseAttributes(t,s.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new s.Circle(r))},s.Circle.fromObject=function(t,e){s.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Triangle?i.warn("fabric.Triangle is already defined"):(i.Triangle=i.util.createClass(i.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_toSVG:function(){var t=this.width/2,e=this.height/2;return["']}}),i.Triangle.fromObject=function(t,e){return i.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,c=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-c*e,o,s+r,o+c*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-c*i,s+r-c*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+c*e,o+n,s,o+n-c*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+c*i,s+c*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,c=0,h=this.path.length;c"},addWithUpdate:function(t){var e=!!this.group;return this._restoreObjectsState(),h.util.resetObjectTransform(this),t&&(e&&h.util.removeTransformFromObject(t,this.group.calcTransformMatrix()),this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.dirty=!0,e?this.group.addWithUpdate():this.setCoords(),this},removeWithUpdate:function(t){return this._restoreObjectsState(),h.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);h.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=h.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=h.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=h.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e\n"],i=0,r=this._objects.length;i\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r\n','\t\n',"\n"),o=' clip-path="url(#imageCrop_'+c+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t\n"),this.stroke||this.strokeDashArray){var h=this.fill;this.fill=null,t=["\t\n'],this.fill=h}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e=t;for(var a=["highp","mediump","lowp"],c=0;c<3;c++)if(void 0,i="precision "+a[c]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[c];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var c,h,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,c=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),h=window.performance.now()-c,c=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-c 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,c=t.imageData.data,h=c.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){var e=this.path;e&&!e.isNotVisible()&&e._render(t),this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){if(t.textBaseline="alphabetical",this.path)switch(this.pathAlign){case"center":t.textBaseline="middle";break;case"ascender":t.textBaseline="top";break;case"descender":t.textBaseline="bottom"}t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;ethis.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),c={x:e.left+o,y:e.top+e.topOffset+s},h=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/h,f=l.height/h,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return c=fabric.util.transformPoint(c,a),(c=fabric.util.transformPoint(c,this.canvas.viewportTransform)).x*=p,c.y*=v,c.x<0&&(c.x=0),c.x>d&&(c.x=d),c.y<0&&(c.y=0),c.y>g&&(c.y=g),c.x+=this.canvas._offset.left,c.y+=this.canvas._offset.top,{left:c.x+"px",top:c.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,c=s.lineIndex,h=s.charIndex;if(o!==c){if(this.styles[o])for(i=a;it?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e,i=this.getLocalPointer(t),r=0,n=0,s=0,o=0,a=0,c=0,h=this._textLines.length;cthis._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",this.hiddenTextareaContainer?this.hiddenTextareaContainer.appendChild(this.hiddenTextarea):fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},keysMapRtl:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorLeft",36:"moveCursorRight",37:"moveCursorRight",38:"moveCursorUp",39:"moveCursorLeft",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){var e="rtl"===this.direction?this.keysMapRtl:this.keysMap;if(t.keyCode in e)this[e[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,c=this._text.length,h=a.length,l=h-c,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):h=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i",t.textSpans.join(""),"\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o",fabric.util.string.escapeXml(t),""].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,c,h=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=h*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)c=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!c&&this._reSpaceAndTab.test(d[g])&&(c=!0),c||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),c=this._hasStyleChangedForSvg(n,s)),c&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,c=0,h=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;uthis.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;sthis.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.16/header-attrs.js b/docs/slides/libs/header-attrs-2.16/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.16/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.17/header-attrs.js b/docs/slides/libs/header-attrs-2.17/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.17/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.18/header-attrs.js b/docs/slides/libs/header-attrs-2.18/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.18/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.19/header-attrs.js b/docs/slides/libs/header-attrs-2.19/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.19/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.20/header-attrs.js b/docs/slides/libs/header-attrs-2.20/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.20/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs-2.21/header-attrs.js b/docs/slides/libs/header-attrs-2.21/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs-2.21/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/header-attrs/header-attrs.js b/docs/slides/libs/header-attrs/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/slides/libs/header-attrs/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/slides/libs/kePrint-0.0.1/kePrint.js b/docs/slides/libs/kePrint-0.0.1/kePrint.js new file mode 100644 index 00000000..e6fbbfc4 --- /dev/null +++ b/docs/slides/libs/kePrint-0.0.1/kePrint.js @@ -0,0 +1,8 @@ +$(document).ready(function(){ + if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') { + $('[data-toggle="tooltip"]').tooltip(); + } + if ($('[data-toggle="popover"]').popover === 'function') { + $('[data-toggle="popover"]').popover(); + } +}); diff --git a/docs/slides/libs/kePrint/kePrint.js b/docs/slides/libs/kePrint/kePrint.js new file mode 100644 index 00000000..e6fbbfc4 --- /dev/null +++ b/docs/slides/libs/kePrint/kePrint.js @@ -0,0 +1,8 @@ +$(document).ready(function(){ + if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') { + $('[data-toggle="tooltip"]').tooltip(); + } + if ($('[data-toggle="popover"]').popover === 'function') { + $('[data-toggle="popover"]').popover(); + } +}); diff --git a/docs/slides/libs/lightable-0.0.1/lightable.css b/docs/slides/libs/lightable-0.0.1/lightable.css new file mode 100644 index 00000000..3be3be90 --- /dev/null +++ b/docs/slides/libs/lightable-0.0.1/lightable.css @@ -0,0 +1,272 @@ +/*! + * lightable v0.0.1 + * Copyright 2020 Hao Zhu + * Licensed under MIT (https://github.com/haozhu233/kableExtra/blob/master/LICENSE) + */ + +.lightable-minimal { + border-collapse: separate; + border-spacing: 16px 1px; + width: 100%; + margin-bottom: 10px; +} + +.lightable-minimal td { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal th { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal thead tr:last-child th { + border-bottom: 2px solid #00000050; + empty-cells: hide; + +} + +.lightable-minimal tbody tr:first-child td { + padding-top: 0.5em; +} + +.lightable-minimal.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-minimal.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic { + border-top: 0.16em solid #111111; + border-bottom: 0.16em solid #111111; + width: 100%; + margin-bottom: 10px; + margin: 10px 5px; +} + +.lightable-classic tfoot tr td { + border: 0; +} + +.lightable-classic tfoot tr:first-child td { + border-top: 0.14em solid #111111; +} + +.lightable-classic caption { + color: #222222; +} + +.lightable-classic td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic thead tr:last-child th { + border-bottom: 0.10em solid #111111; +} + +.lightable-classic.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic-2 { + border-top: 3px double #111111; + border-bottom: 3px double #111111; + width: 100%; + margin-bottom: 10px; +} + +.lightable-classic-2 tfoot tr td { + border: 0; +} + +.lightable-classic-2 tfoot tr:first-child td { + border-top: 3px double #111111; +} + +.lightable-classic-2 caption { + color: #222222; +} + +.lightable-classic-2 td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic-2 th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic-2 tbody tr:last-child td { + border-bottom: 3px double #111111; +} + +.lightable-classic-2 thead tr:last-child th { + border-bottom: 1px solid #111111; +} + +.lightable-classic-2.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic-2.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #EEE; + border-collapse: collapse; + margin-bottom: 10px; +} + +.lightable-material tfoot tr td { + border: 0; +} + +.lightable-material tfoot tr:first-child td { + border-top: 1px solid #EEE; +} + +.lightable-material th { + height: 56px; + padding-left: 16px; + padding-right: 16px; +} + +.lightable-material td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + border-top: 1px solid #eeeeee; +} + +.lightable-material.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody td { + border: 0; +} + +.lightable-material.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #ddd; +} + +.lightable-material-dark { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #FFFFFF12; + border-collapse: collapse; + margin-bottom: 10px; + background-color: #363640; +} + +.lightable-material-dark tfoot tr td { + border: 0; +} + +.lightable-material-dark tfoot tr:first-child td { + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark th { + height: 56px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF60; +} + +.lightable-material-dark td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF; + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark.lightable-hover tbody tr:hover { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody tr:nth-child(even) { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody td { + border: 0; +} + +.lightable-material-dark.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #FFFFFF12; +} + +.lightable-paper { + width: 100%; + margin-bottom: 10px; + color: #444; +} + +.lightable-paper tfoot tr td { + border: 0; +} + +.lightable-paper tfoot tr:first-child td { + border-top: 1px solid #00000020; +} + +.lightable-paper thead tr:last-child th { + color: #666; + vertical-align: bottom; + border-bottom: 1px solid #00000020; + line-height: 1.15em; + padding: 10px 5px; +} + +.lightable-paper td { + vertical-align: middle; + border-bottom: 1px solid #00000010; + line-height: 1.15em; + padding: 7px 5px; +} + +.lightable-paper.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-paper.lightable-striped tbody tr:nth-child(even) { + background-color: #00000008; +} + +.lightable-paper.lightable-striped tbody td { + border: 0; +} + diff --git a/docs/slides/libs/lightable/lightable.css b/docs/slides/libs/lightable/lightable.css new file mode 100644 index 00000000..3be3be90 --- /dev/null +++ b/docs/slides/libs/lightable/lightable.css @@ -0,0 +1,272 @@ +/*! + * lightable v0.0.1 + * Copyright 2020 Hao Zhu + * Licensed under MIT (https://github.com/haozhu233/kableExtra/blob/master/LICENSE) + */ + +.lightable-minimal { + border-collapse: separate; + border-spacing: 16px 1px; + width: 100%; + margin-bottom: 10px; +} + +.lightable-minimal td { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal th { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal thead tr:last-child th { + border-bottom: 2px solid #00000050; + empty-cells: hide; + +} + +.lightable-minimal tbody tr:first-child td { + padding-top: 0.5em; +} + +.lightable-minimal.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-minimal.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic { + border-top: 0.16em solid #111111; + border-bottom: 0.16em solid #111111; + width: 100%; + margin-bottom: 10px; + margin: 10px 5px; +} + +.lightable-classic tfoot tr td { + border: 0; +} + +.lightable-classic tfoot tr:first-child td { + border-top: 0.14em solid #111111; +} + +.lightable-classic caption { + color: #222222; +} + +.lightable-classic td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic thead tr:last-child th { + border-bottom: 0.10em solid #111111; +} + +.lightable-classic.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic-2 { + border-top: 3px double #111111; + border-bottom: 3px double #111111; + width: 100%; + margin-bottom: 10px; +} + +.lightable-classic-2 tfoot tr td { + border: 0; +} + +.lightable-classic-2 tfoot tr:first-child td { + border-top: 3px double #111111; +} + +.lightable-classic-2 caption { + color: #222222; +} + +.lightable-classic-2 td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic-2 th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic-2 tbody tr:last-child td { + border-bottom: 3px double #111111; +} + +.lightable-classic-2 thead tr:last-child th { + border-bottom: 1px solid #111111; +} + +.lightable-classic-2.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic-2.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #EEE; + border-collapse: collapse; + margin-bottom: 10px; +} + +.lightable-material tfoot tr td { + border: 0; +} + +.lightable-material tfoot tr:first-child td { + border-top: 1px solid #EEE; +} + +.lightable-material th { + height: 56px; + padding-left: 16px; + padding-right: 16px; +} + +.lightable-material td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + border-top: 1px solid #eeeeee; +} + +.lightable-material.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody td { + border: 0; +} + +.lightable-material.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #ddd; +} + +.lightable-material-dark { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #FFFFFF12; + border-collapse: collapse; + margin-bottom: 10px; + background-color: #363640; +} + +.lightable-material-dark tfoot tr td { + border: 0; +} + +.lightable-material-dark tfoot tr:first-child td { + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark th { + height: 56px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF60; +} + +.lightable-material-dark td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF; + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark.lightable-hover tbody tr:hover { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody tr:nth-child(even) { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody td { + border: 0; +} + +.lightable-material-dark.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #FFFFFF12; +} + +.lightable-paper { + width: 100%; + margin-bottom: 10px; + color: #444; +} + +.lightable-paper tfoot tr td { + border: 0; +} + +.lightable-paper tfoot tr:first-child td { + border-top: 1px solid #00000020; +} + +.lightable-paper thead tr:last-child th { + color: #666; + vertical-align: bottom; + border-bottom: 1px solid #00000020; + line-height: 1.15em; + padding: 10px 5px; +} + +.lightable-paper td { + vertical-align: middle; + border-bottom: 1px solid #00000010; + line-height: 1.15em; + padding: 7px 5px; +} + +.lightable-paper.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-paper.lightable-striped tbody tr:nth-child(even) { + background-color: #00000008; +} + +.lightable-paper.lightable-striped tbody td { + border: 0; +} + diff --git a/docs/slides/libs/macros.js b/docs/slides/libs/macros.js new file mode 100644 index 00000000..071125df --- /dev/null +++ b/docs/slides/libs/macros.js @@ -0,0 +1,4 @@ +remark.macros.scale = function (percentage) { + var url = this; + return ''; +}; diff --git a/docs/slides/libs/mark.js-8.11.1/mark.min.js b/docs/slides/libs/mark.js-8.11.1/mark.min.js new file mode 100644 index 00000000..1eea0533 --- /dev/null +++ b/docs/slides/libs/mark.js-8.11.1/mark.min.js @@ -0,0 +1,7 @@ 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ConfigurationPath Congruent Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath 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CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols 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DeleteContents DeleteDirectory DeleteDuplicates DeleteFile DeleteSmallComponents DeleteWithContents DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow DisableConsolePrintPacket DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform Discriminant Disjunction Disk DiskBox DiskMatrix Dispatch DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentNotebook DominantColors DOSTextFormat Dot DotDashed DotEqual Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DSolve Dt DualLinearProgramming DualSystemsModel DumpGet DumpSave DuplicateFreeQ Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicLocation DynamicModule 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EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN 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KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestAscendingSequence LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow Loopback LoopFreeGraphQ LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LyapunovSolve LyonsGroupLy MachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules MangoldtLambda ManhattanDistance Manipulate Manipulator MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixPlot MatrixPower MatrixQ MatrixRank Max MaxBend MaxDetect MaxExtraBandwidths MaxExtraConditions MaxFeatures MaxFilter Maximize MaxIterations MaxMemoryUsed MaxMixtureKernels MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction Monday Monitor MonomialList MonomialOrder MonsterGroupM MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform Most MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovingAverage MovingMedian MoyalDistribution MultiedgeStyle MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistribution N NakagamiDistribution NameQ Names NamespaceBox Nand NArgMax NArgMin NBernoulliB NCache NDSolve NDSolveValue Nearest NearestFunction NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeMultinomialDistribution NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestList NestWhile NestWhileList NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextPrime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants None NonlinearModelFit NonlocalMeansFilter NonNegative NonPositive Nor NorlundB Norm Normal NormalDistribution NormalGrouping Normalize NormalizedSquaredEuclideanDistance NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde NotHumpDownHump NotHumpEqual NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual 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NumericQ NuttallWindow NValues NyquistGridLines NyquistPlot O ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OddQ Off Offset OLEData On ONanGroupON OneIdentity Opacity Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering Orderless OrnsteinUhlenbeckProcess Orthogonalize Out Outer OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OwenT OwnValues PackingMethod PaddedForm Padding PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageWidth PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParetoDistribution Part PartialCorrelationFunction PartialD ParticleData Partition 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PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement PredictionRoot PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependTo PreserveImageOptions Previous PriceGraphDistribution PrimaryPlaceholder Prime PrimeNu PrimeOmega PrimePi PrimePowerQ PrimeQ Primes PrimeZetaP PrimitiveRoot PrincipalComponents PrincipalValue Print PrintAction PrintForm PrintingCopies PrintingOptions PrintingPageRange PrintingStartingPageNumber PrintingStyleEnvironment PrintPrecision PrintTemporary Prism PrismBox PrismBoxOptions PrivateCellOptions PrivateEvaluationOptions PrivateFontOptions PrivateFrontEndOptions PrivateNotebookOptions PrivatePaths Probability ProbabilityDistribution ProbabilityPlot ProbabilityPr ProbabilityScalePlot ProbitModelFit ProcessEstimator ProcessParameterAssumptions ProcessParameterQ ProcessStateDomain ProcessTimeDomain Product ProductDistribution ProductLog 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RangeSpecification RankedMax RankedMin Raster Raster3D Raster3DBox Raster3DBoxOptions RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios Raw RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadList ReadProtected Real RealBlockDiagonalForm RealDigits RealExponent Reals Reap Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate RegionBinarize RegionFunction RegionPlot RegionPlot3D RegularExpression Regularization Reinstall Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot Remove RemoveAlphaChannel RemoveAsynchronousTask Removed RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart Repeated RepeatedNull RepeatedString Replace ReplaceAll ReplaceHeldPart ReplaceImageValue ReplaceList ReplacePart ReplacePixelValue ReplaceRepeated Resampling Rescale RescalingTransform ResetDirectory ResetMenusPacket ResetScheduledTask Residue Resolve Rest Resultant ResumePacket Return ReturnExpressionPacket ReturnInputFormPacket ReturnPacket ReturnTextPacket Reverse ReverseBiorthogonalSplineWavelet ReverseElement ReverseEquilibrium ReverseGraph ReverseUpEquilibrium RevolutionAxis RevolutionPlot3D RGBColor RiccatiSolve RiceDistribution RidgeFilter RiemannR RiemannSiegelTheta RiemannSiegelZ Riffle Right RightArrow RightArrowBar RightArrowLeftArrow RightCosetRepresentative RightDownTeeVector RightDownVector RightDownVectorBar RightTee RightTeeArrow RightTeeVector RightTriangle RightTriangleBar RightTriangleEqual RightUpDownVector RightUpTeeVector RightUpVector RightUpVectorBar RightVector RightVectorBar RiskAchievementImportance RiskReductionImportance RogersTanimotoDissimilarity Root RootApproximant RootIntervals RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulerUnits Run RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilarity SameQ SameTest SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveDefinitions SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTaskActiveQ 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StandbyDistribution Star StarGraph StartAsynchronousTask StartingStepSize StartOfLine StartOfString StartScheduledTask StartupSound StateDimensions StateFeedbackGains StateOutputEstimator StateResponse StateSpaceModel StateSpaceRealization StateSpaceTransform StationaryDistribution StationaryWaveletPacketTransform StationaryWaveletTransform StatusArea StatusCentrality StepMonitor StieltjesGamma StirlingS1 StirlingS2 StopAsynchronousTask StopScheduledTask StrataVariables StratonovichProcess StreamColorFunction StreamColorFunctionScaling StreamDensityPlot StreamPlot StreamPoints StreamPosition Streams StreamScale StreamStyle String StringBreak StringByteCount StringCases StringCount StringDrop StringExpression StringForm StringFormat StringFreeQ StringInsert StringJoin StringLength StringMatchQ StringPosition StringQ StringReplace StringReplaceList StringReplacePart StringReverse StringRotateLeft StringRotateRight StringSkeleton StringSplit StringTake StringToStream StringTrim StripBoxes 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erfcx erfinv expint gamma gammainc gammaln psi legendre cross dot factor isprime primes gcd lcm rat rats perms nchoosek factorial cart2sph cart2pol pol2cart sph2cart hsv2rgb rgb2hsv zeros ones eye repmat rand randn linspace logspace freqspace meshgrid accumarray size length ndims numel disp isempty isequal isequalwithequalnans cat reshape diag blkdiag tril triu fliplr flipud flipdim rot90 find sub2ind ind2sub bsxfun ndgrid permute ipermute shiftdim circshift squeeze isscalar isvector ans eps realmax realmin pi i inf nan isnan isinf isfinite j why compan gallery hadamard hankel hilb invhilb magic pascal rosser toeplitz vander 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radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray 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attackEnabled backpack backpackCargo backpackContainer backpackItems backpackMagazines backpackSpaceFor behaviour benchmark binocular blufor boundingBox boundingBoxReal boundingCenter breakOut breakTo briefingName buildingExit buildingPos buttonAction buttonSetAction cadetMode call callExtension camCommand camCommit camCommitPrepared camCommitted camConstuctionSetParams camCreate camDestroy cameraEffect cameraEffectEnableHUD cameraInterest cameraOn cameraView campaignConfigFile camPreload camPreloaded camPrepareBank camPrepareDir camPrepareDive camPrepareFocus camPrepareFov camPrepareFovRange camPreparePos camPrepareRelPos camPrepareTarget camSetBank camSetDir camSetDive camSetFocus camSetFov camSetFovRange camSetPos camSetRelPos camSetTarget camTarget camUseNVG canAdd canAddItemToBackpack canAddItemToUniform canAddItemToVest cancelSimpleTaskDestination canFire canMove canSlingLoad canStand canUnloadInCombat captive captiveNum cbChecked cbSetChecked ceil cheatsEnabled checkAIFeature civilian className clearAllItemsFromBackpack clearBackpackCargo clearBackpackCargoGlobal clearGroupIcons clearItemCargo clearItemCargoGlobal clearItemPool clearMagazineCargo clearMagazineCargoGlobal clearMagazinePool clearOverlay clearRadio clearWeaponCargo clearWeaponCargoGlobal clearWeaponPool closeDialog closeDisplay closeOverlay collapseObjectTree combatMode commandArtilleryFire commandChat commander commandFire commandFollow commandFSM commandGetOut commandingMenu commandMove commandRadio commandStop commandTarget commandWatch comment commitOverlay compile compileFinal completedFSM composeText configClasses configFile configHierarchy configName configProperties configSourceMod configSourceModList connectTerminalToUAV controlNull controlsGroupCtrl copyFromClipboard copyToClipboard copyWaypoints cos count countEnemy countFriendly countSide countType countUnknown createAgent createCenter createDialog createDiaryLink createDiaryRecord createDiarySubject createDisplay createGearDialog createGroup createGuardedPoint createLocation createMarker createMarkerLocal createMenu createMine createMissionDisplay createSimpleTask createSite createSoundSource createTask createTeam createTrigger createUnit createUnit array createVehicle createVehicle array createVehicleCrew createVehicleLocal crew ctrlActivate ctrlAddEventHandler ctrlAutoScrollDelay ctrlAutoScrollRewind ctrlAutoScrollSpeed ctrlChecked ctrlClassName ctrlCommit ctrlCommitted ctrlCreate ctrlDelete ctrlEnable ctrlEnabled ctrlFade ctrlHTMLLoaded ctrlIDC ctrlIDD ctrlMapAnimAdd ctrlMapAnimClear ctrlMapAnimCommit ctrlMapAnimDone ctrlMapCursor ctrlMapMouseOver ctrlMapScale ctrlMapScreenToWorld ctrlMapWorldToScreen ctrlModel ctrlModelDirAndUp ctrlModelScale ctrlParent ctrlPosition ctrlRemoveAllEventHandlers ctrlRemoveEventHandler ctrlScale ctrlSetActiveColor ctrlSetAutoScrollDelay ctrlSetAutoScrollRewind ctrlSetAutoScrollSpeed ctrlSetBackgroundColor ctrlSetChecked ctrlSetEventHandler ctrlSetFade ctrlSetFocus ctrlSetFont ctrlSetFontH1 ctrlSetFontH1B ctrlSetFontH2 ctrlSetFontH2B ctrlSetFontH3 ctrlSetFontH3B ctrlSetFontH4 ctrlSetFontH4B ctrlSetFontH5 ctrlSetFontH5B ctrlSetFontH6 ctrlSetFontH6B ctrlSetFontHeight ctrlSetFontHeightH1 ctrlSetFontHeightH2 ctrlSetFontHeightH3 ctrlSetFontHeightH4 ctrlSetFontHeightH5 ctrlSetFontHeightH6 ctrlSetFontP ctrlSetFontPB ctrlSetForegroundColor ctrlSetModel ctrlSetModelDirAndUp ctrlSetModelScale ctrlSetPosition ctrlSetScale ctrlSetStructuredText ctrlSetText ctrlSetTextColor ctrlSetTooltip ctrlSetTooltipColorBox ctrlSetTooltipColorShade ctrlSetTooltipColorText ctrlShow ctrlShown ctrlText ctrlTextHeight ctrlType ctrlVisible curatorAddons curatorCamera curatorCameraArea curatorCameraAreaCeiling curatorCoef curatorEditableObjects curatorEditingArea curatorEditingAreaType curatorMouseOver curatorPoints curatorRegisteredObjects curatorSelected curatorWaypointCost currentChannel currentCommand currentMagazine currentMagazineDetail currentMagazineDetailTurret currentMagazineTurret currentMuzzle currentNamespace currentTask currentTasks currentThrowable currentVisionMode currentWaypoint currentWeapon currentWeaponMode currentWeaponTurret currentZeroing cursorTarget customChat customRadio cutFadeOut cutObj cutRsc cutText damage date dateToNumber daytime deActivateKey debriefingText debugFSM debugLog deg deleteAt deleteCenter deleteCollection deleteEditorObject deleteGroup deleteIdentity deleteLocation deleteMarker deleteMarkerLocal deleteRange deleteResources deleteSite deleteStatus deleteTeam deleteVehicle deleteVehicleCrew deleteWaypoint detach detectedMines diag activeMissionFSMs diag activeSQFScripts diag activeSQSScripts diag captureFrame diag captureSlowFrame diag fps diag fpsMin diag frameNo diag log diag logSlowFrame diag tickTime dialog diarySubjectExists didJIP didJIPOwner difficulty difficultyEnabled difficultyEnabledRTD direction directSay disableAI disableCollisionWith disableConversation disableDebriefingStats disableSerialization disableTIEquipment disableUAVConnectability disableUserInput displayAddEventHandler displayCtrl displayNull displayRemoveAllEventHandlers displayRemoveEventHandler displaySetEventHandler dissolveTeam distance distance2D distanceSqr distributionRegion doArtilleryFire doFire doFollow doFSM doGetOut doMove doorPhase doStop doTarget doWatch drawArrow drawEllipse drawIcon drawIcon3D drawLine drawLine3D drawLink drawLocation drawRectangle driver drop east echo editObject editorSetEventHandler effectiveCommander emptyPositions enableAI enableAIFeature enableAttack enableCamShake enableCaustics enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableTeamSwitch enableUAVConnectability enableUAVWaypoints endLoadingScreen endMission engineOn enginesIsOnRTD enginesRpmRTD enginesTorqueRTD entities estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination eyeDirection eyePos face faction fadeMusic fadeRadio fadeSound fadeSpeech failMission fillWeaponsFromPool find findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagOwner fleeing floor flyInHeight fog fogForecast fogParams forceAddUniform forceEnd forceMap forceRespawn forceSpeed forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeLook fromEditor fuel fullCrew gearSlotAmmoCount gearSlotData getAllHitPointsDamage getAmmoCargo getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssignedCuratorLogic getAssignedCuratorUnit getBackpackCargo getBleedingRemaining getBurningValue getCargoIndex getCenterOfMass getClientState getConnectedUAV getDammage getDescription getDir getDirVisual getDLCs getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getFatigue getFriend getFSMVariable getFuelCargo getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getModelInfo getNumber getObjectArgument getObjectChildren getObjectDLC getObjectMaterials getObjectProxy getObjectTextures getObjectType getObjectViewDistance getOxygenRemaining getPersonUsedDLCs getPlayerChannel getPlayerUID getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getRepairCargo getResolution getShadowDistance getSlingLoad getSpeed getSuppression getTerrainHeightASL getText getVariable getWeaponCargo getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupId groupOwner groupRadio groupSelectedUnits groupSelectUnit grpNull gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hasInterface hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in incapacitatedState independent inflame inflamed inGameUISetEventHandler inheritsFrom initAmbientLife inputAction inRangeOfArtillery insertEditorObject intersect isAbleToBreathe isAgent isArray isAutoHoverOn isAutonomous isAutotest isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDedicated isDLCAvailable isEngineOn isEqualTo isFlashlightOn isFlatEmpty isForcedWalk 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lbSetValue lbSize lbSort lbSortByValue lbText lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineBreak lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbSetColor lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetText lnbSetValue lnbSize lnbText lnbValue load loadAbs loadBackpack loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest local localize locationNull locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCargo lockedDriver lockedTurret lockTurret lockWP log logEntities lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerColor markerDir markerPos markerShape markerSize markerText markerType max members min mineActive mineDetectedBy missionConfigFile missionName missionNamespace missionStart mod modelToWorld modelToWorldVisual moonIntensity morale move moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name name location nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openMap openYoutubeVideo opfor or orderGetIn overcast overcastForecast owner param params parseNumber parseText parsingNamespace particlesQuality pi pickWeaponPool pitch playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority private processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioVolume rain rainbow random rank rankId rating rectangular registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall removeAction removeAllActions removeAllAssignedItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllPrimaryWeaponItems removeAllWeapons removeBackpack removeBackpackGlobal removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeVest removeWeapon removeWeaponGlobal removeWeaponTurret requiredVersion resetCamShake resetSubgroupDirection resistance resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeEndPosition ropeLength ropes ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY saveGame saveIdentity saveJoysticks saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenToWorld scriptDone scriptName scriptNull scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionPosition selectLeader selectNoPlayer selectPlayer selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage serverCommand serverCommandAvailable serverCommandExecutable serverName serverTime set setAccTime setAirportSide setAmmo setAmmoCargo setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setBehaviour setBleedingRemaining setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatMode setCompassOscillation setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDir setDirection setDrawIcon setDropInterval setEditorMode setEditorObjectScope setEffectCondition setFace setFaceAnimation setFatigue setFlagOwner setFlagSide setFlagTexture setFog setFog array setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupId setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setIdentity setImportance setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightnings setLightUseFlare setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPos setMarkerPosLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMimic setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectProxy setObjectTexture setObjectTextureGlobal setObjectViewDistance setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotLight setPiPEffect setPitch setPlayable setPlayerRespawnTime setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setShadowDistance setSide setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimulWeatherLayers setSize setSkill setSkill array setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStatValue setSuppression setSystemOfUnits setTargetAge setTaskResult setTaskState setTerrainGrid setText setTimeMultiplier setTitleEffect setTriggerActivation setTriggerArea setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setType setUnconscious setUnitAbility setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnloadInCombat setUserActionText setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleId setVehicleLock setVehiclePosition setVehicleTiPars setVehicleVarName setVelocity setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWaves setWaypointBehaviour setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointFormation setWaypointHousePosition setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWind setWindDir setWindForce setWindStr setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGPS showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGPS shownHUD shownMap shownPad shownRadio shownUAVFeed shownWarrant shownWatch showPad showRadio showSubtitles showUAVFeed showWarrant showWatch showWaypoint side sideChat sideEnemy sideFriendly sideLogic sideRadio sideUnknown simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speed speedMode splitString sqrt squadParams stance startLoadingScreen step stop stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint synchronizeWaypoint trigger systemChat systemOfUnits tan targetKnowledge targetsAggregate targetsQuery taskChildren taskCompleted taskDescription taskDestination taskHint taskNull taskParent taskResult taskState teamMember teamMemberNull teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL text text location textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toLower toString toUpper triggerActivated triggerActivation triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCount tvCurSel tvData tvDelete tvExpand tvPicture tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetTooltip tvSetValue tvSort tvSortByValue tvText tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines unitAddons unitBackpack unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAudioTimeForMoves vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorMagnitude vectorMagnitudeSqr vectorMultiply vectorNormalized vectorUp vectorUpVisual vehicle vehicleChat vehicleRadio vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGPS visibleMap visiblePosition visiblePositionASL visibleWatch waitUntil waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointBehaviour waypointCombatMode waypointCompletionRadius waypointDescription waypointFormation waypointHousePosition waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponCargo weaponDirection weaponLowered weapons weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD west WFSideText wind windDir windStr wingsForcesRTD worldName worldSize worldToModel worldToModelVisual worldToScreen _forEachIndex _this _x", 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externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator 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publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view virtual visible void wait wallet warning warnings week weekday weekofyear wellformed when whene whenev wheneve whenever where while whitespace with within without work wrapped xdb xml xmlagg xmlattributes xmlcast xmlcolattval xmlelement xmlexists xmlforest xmlindex xmlnamespaces xmlpi xmlquery xmlroot xmlschema xmlserialize xmltable xmltype xor year year_to_month years yearweek",literal:"true false null",built_in:"array bigint binary bit blob boolean char character date dec decimal float int int8 integer interval number numeric real record serial serial8 smallint text varchar varying 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checksum chelp ci cii cl class classutil clear cli clis clist clo clog clog_lf clog_p clogi clogi_sw clogit clogit_lf clogit_p clogitp clogl_sw cloglog clonevar clslistarray cluster cluster_measures cluster_stop cluster_tree cluster_tree_8 clustermat cmdlog cnr cnre cnreg cnreg_p cnreg_sw cnsreg codebook collaps4 collapse colormult_nb colormult_nw compare compress conf confi confir confirm conren cons const constr constra constrai constrain constraint continue contract copy copyright copysource cor corc corr corr2data corr_anti corr_kmo corr_smc corre correl correla correlat correlate corrgram cou coun count cox cox_p cox_sw coxbase coxhaz coxvar cprplot cprplot_7 crc cret cretu cretur creturn cross cs cscript cscript_log csi ct ct_is ctset ctst_5 ctst_st cttost cumsp cumsp_7 cumul cusum cusum_7 cutil d|0 datasig datasign datasigna datasignat datasignatu datasignatur datasignature datetof db dbeta de dec deco decod decode deff des desc descr descri describ describe destring dfbeta dfgls dfuller di di_g dir dirstats dis discard disp disp_res disp_s displ displa display distinct do doe doed doedi doedit dotplot dotplot_7 dprobit drawnorm drop ds ds_util dstdize duplicates durbina dwstat dydx e|0 ed edi edit egen eivreg emdef en enc enco encod encode eq erase ereg ereg_lf ereg_p ereg_sw ereghet ereghet_glf ereghet_glf_sh ereghet_gp ereghet_ilf ereghet_ilf_sh ereghet_ip eret eretu eretur ereturn err erro error est est_cfexist est_cfname est_clickable est_expand est_hold est_table est_unhold est_unholdok estat estat_default estat_summ estat_vce_only esti estimates etodow etof etomdy ex exi exit expand expandcl fac fact facto factor factor_estat factor_p factor_pca_rotated factor_rotate factormat fcast fcast_compute fcast_graph fdades fdadesc fdadescr fdadescri fdadescrib fdadescribe fdasav fdasave fdause fh_st file open file read file close file filefilter fillin find_hlp_file findfile findit findit_7 fit fl fli flis flist for5_0 form forma format fpredict frac_154 frac_adj frac_chk frac_cox frac_ddp frac_dis frac_dv frac_in frac_mun frac_pp frac_pq frac_pv frac_wgt frac_xo fracgen fracplot fracplot_7 fracpoly fracpred fron_ex fron_hn fron_p fron_tn fron_tn2 frontier ftodate ftoe ftomdy ftowdate g|0 gamhet_glf gamhet_gp gamhet_ilf gamhet_ip gamma gamma_d2 gamma_p gamma_sw gammahet gdi_hexagon gdi_spokes ge gen gene gener genera generat generate genrank genstd genvmean gettoken gl gladder gladder_7 glim_l01 glim_l02 glim_l03 glim_l04 glim_l05 glim_l06 glim_l07 glim_l08 glim_l09 glim_l10 glim_l11 glim_l12 glim_lf glim_mu glim_nw1 glim_nw2 glim_nw3 glim_p glim_v1 glim_v2 glim_v3 glim_v4 glim_v5 glim_v6 glim_v7 glm glm_6 glm_p glm_sw glmpred glo glob globa global glogit glogit_8 glogit_p gmeans gnbre_lf gnbreg gnbreg_5 gnbreg_p gomp_lf gompe_sw gomper_p gompertz gompertzhet gomphet_glf gomphet_glf_sh gomphet_gp gomphet_ilf gomphet_ilf_sh gomphet_ip gphdot gphpen gphprint gprefs gprobi_p gprobit gprobit_8 gr gr7 gr_copy gr_current gr_db gr_describe gr_dir gr_draw gr_draw_replay gr_drop gr_edit gr_editviewopts gr_example gr_example2 gr_export gr_print gr_qscheme gr_query gr_read gr_rename gr_replay gr_save gr_set gr_setscheme gr_table gr_undo gr_use graph graph7 grebar greigen greigen_7 greigen_8 grmeanby grmeanby_7 gs_fileinfo gs_filetype gs_graphinfo gs_stat gsort gwood h|0 hadimvo hareg hausman haver he heck_d2 heckma_p heckman heckp_lf heckpr_p heckprob hel help hereg hetpr_lf hetpr_p hetprob hettest hexdump hilite hist hist_7 histogram hlogit hlu hmeans hotel hotelling hprobit hreg hsearch icd9 icd9_ff icd9p iis impute imtest inbase include inf infi infil infile infix inp inpu input ins insheet insp inspe inspec inspect integ inten intreg intreg_7 intreg_p intrg2_ll intrg_ll intrg_ll2 ipolate iqreg ir irf irf_create irfm iri is_svy is_svysum isid istdize ivprob_1_lf ivprob_lf ivprobit ivprobit_p ivreg ivreg_footnote ivtob_1_lf ivtob_lf ivtobit ivtobit_p jackknife jacknife jknife jknife_6 jknife_8 jkstat joinby kalarma1 kap kap_3 kapmeier kappa kapwgt kdensity kdensity_7 keep ksm ksmirnov ktau kwallis l|0 la lab labe label labelbook ladder levels levelsof leverage lfit lfit_p li lincom line linktest lis list lloghet_glf lloghet_glf_sh lloghet_gp lloghet_ilf lloghet_ilf_sh lloghet_ip llogi_sw llogis_p llogist llogistic llogistichet lnorm_lf lnorm_sw lnorma_p lnormal lnormalhet lnormhet_glf lnormhet_glf_sh lnormhet_gp lnormhet_ilf lnormhet_ilf_sh lnormhet_ip lnskew0 loadingplot loc loca local log logi logis_lf logistic logistic_p logit logit_estat logit_p loglogs logrank loneway lookfor lookup lowess lowess_7 lpredict lrecomp lroc lroc_7 lrtest ls lsens lsens_7 lsens_x lstat ltable ltable_7 ltriang lv lvr2plot lvr2plot_7 m|0 ma mac macr macro makecns man manova manova_estat manova_p manovatest mantel mark markin markout marksample mat mat_capp mat_order mat_put_rr mat_rapp mata mata_clear mata_describe mata_drop mata_matdescribe mata_matsave mata_matuse mata_memory mata_mlib mata_mosave mata_rename mata_which matalabel matcproc matlist matname matr matri matrix matrix_input__dlg matstrik mcc mcci md0_ md1_ md1debug_ md2_ md2debug_ mds mds_estat mds_p mdsconfig mdslong mdsmat mdsshepard mdytoe mdytof me_derd mean means median memory memsize meqparse mer merg merge mfp mfx mhelp mhodds minbound mixed_ll mixed_ll_reparm mkassert mkdir mkmat mkspline ml ml_5 ml_adjs ml_bhhhs ml_c_d ml_check ml_clear ml_cnt ml_debug ml_defd ml_e0 ml_e0_bfgs ml_e0_cycle ml_e0_dfp ml_e0i ml_e1 ml_e1_bfgs ml_e1_bhhh ml_e1_cycle ml_e1_dfp ml_e2 ml_e2_cycle ml_ebfg0 ml_ebfr0 ml_ebfr1 ml_ebh0q ml_ebhh0 ml_ebhr0 ml_ebr0i ml_ecr0i ml_edfp0 ml_edfr0 ml_edfr1 ml_edr0i ml_eds ml_eer0i ml_egr0i ml_elf ml_elf_bfgs ml_elf_bhhh ml_elf_cycle ml_elf_dfp ml_elfi ml_elfs ml_enr0i ml_enrr0 ml_erdu0 ml_erdu0_bfgs ml_erdu0_bhhh ml_erdu0_bhhhq ml_erdu0_cycle ml_erdu0_dfp ml_erdu0_nrbfgs ml_exde ml_footnote ml_geqnr ml_grad0 ml_graph ml_hbhhh ml_hd0 ml_hold ml_init ml_inv ml_log ml_max ml_mlout ml_mlout_8 ml_model ml_nb0 ml_opt ml_p ml_plot ml_query ml_rdgrd ml_repor ml_s_e ml_score ml_searc ml_technique ml_unhold mleval mlf_ mlmatbysum mlmatsum mlog mlogi mlogit mlogit_footnote mlogit_p mlopts mlsum mlvecsum mnl0_ mor more mov move mprobit mprobit_lf mprobit_p mrdu0_ mrdu1_ mvdecode mvencode mvreg mvreg_estat n|0 nbreg nbreg_al nbreg_lf nbreg_p nbreg_sw nestreg net newey newey_7 newey_p news nl nl_7 nl_9 nl_9_p nl_p nl_p_7 nlcom nlcom_p nlexp2 nlexp2_7 nlexp2a nlexp2a_7 nlexp3 nlexp3_7 nlgom3 nlgom3_7 nlgom4 nlgom4_7 nlinit nllog3 nllog3_7 nllog4 nllog4_7 nlog_rd nlogit nlogit_p nlogitgen nlogittree nlpred no nobreak noi nois noisi noisil noisily note notes notes_dlg nptrend numlabel numlist odbc old_ver olo olog ologi ologi_sw ologit ologit_p ologitp on one onew onewa oneway op_colnm op_comp op_diff op_inv op_str opr opro oprob oprob_sw oprobi oprobi_p oprobit oprobitp opts_exclusive order orthog orthpoly ou out outf outfi outfil outfile outs outsh outshe outshee outsheet ovtest pac pac_7 palette 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reshape restore ret retu retur return rm rmdir robvar roccomp roccomp_7 roccomp_8 rocf_lf rocfit rocfit_8 rocgold rocplot rocplot_7 roctab roctab_7 rolling rologit rologit_p rot rota rotat rotate rotatemat rreg rreg_p ru run runtest rvfplot rvfplot_7 rvpplot rvpplot_7 sa safesum sample sampsi sav save savedresults saveold sc sca scal scala scalar scatter scm_mine sco scob_lf scob_p scobi_sw scobit scor score scoreplot scoreplot_help scree screeplot screeplot_help sdtest sdtesti se search separate seperate serrbar serrbar_7 serset set set_defaults sfrancia sh she shel shell shewhart shewhart_7 signestimationsample signrank signtest simul simul_7 simulate simulate_8 sktest sleep slogit slogit_d2 slogit_p smooth snapspan so sor sort spearman spikeplot spikeplot_7 spikeplt spline_x split sqreg sqreg_p sret sretu sretur sreturn ssc st st_ct st_hc st_hcd st_hcd_sh st_is st_issys st_note st_promo st_set st_show st_smpl st_subid stack statsby statsby_8 stbase stci stci_7 stcox stcox_estat 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+} +.tabwid table tr { +background-color: transparent; +} +.katex-display { + margin: 0 0 !important; +} diff --git a/docs/slides/libs/tabwid-1.1.3/tabwid.js b/docs/slides/libs/tabwid-1.1.3/tabwid.js new file mode 100644 index 00000000..47070f7b --- /dev/null +++ b/docs/slides/libs/tabwid-1.1.3/tabwid.js @@ -0,0 +1,20 @@ +document.addEventListener("DOMContentLoaded", function(event) { + var els = document.querySelectorAll(".tabwid"); + var tabwid_link = document.querySelector('link[href*="tabwid.css"]') + if (tabwid_link === null) { + const tabwid_styles = document.evaluate("//style[contains(., 'tabwid')]", document, null, XPathResult.ANY_TYPE, null ); + tabwid_link = tabwid_styles.iterateNext(); + } + + Array.prototype.forEach.call(els, function(template) { + const dest = document.createElement("div"); + template.parentNode.insertBefore(dest, template.nextSibling) + dest.setAttribute("class", "flextable-shadow-host"); + const fantome = dest.attachShadow({mode: 'open'}); + fantome.appendChild(template); + if (tabwid_link !== null) { + fantome.appendChild(tabwid_link.cloneNode(true)); + } + }); +}); + diff --git a/docs/slides/libs/tile-view-0.2.6/tile-view.css b/docs/slides/libs/tile-view-0.2.6/tile-view.css new file mode 100644 index 00000000..e1870da5 --- /dev/null +++ b/docs/slides/libs/tile-view-0.2.6/tile-view.css @@ -0,0 +1,52 @@ +.remark__tile-view * { + box-sizing: border-box; +} + +.remark__tile-view { + background: lightgray; + position: relative; + width: 100%; + height: 100%; + padding: 3em; + font-size: 18px; + box-sizing: border-box; + overflow: scroll; +} + +.remark__tile-view__header { + text-align: center; +} + +.remark__tile-view__tiles { + display: grid; + /* Set column width in JS */ + /* grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); */ + justify-items: center; +} + +.remark__tile-view__tile { + position: relative; + margin: 0.5em; + padding: 0.5em; +} + +.remark__tile-view__slide-container { + margin: 0 auto; +} + +.remark__tile-view__tile--current { + background: #ffd863; + border: 5px solid #ffd863; + margin: calc(0.5em - 5px); + border-radius: 0; +} + +.remark__tile-view__tile--seen { + opacity: 0.5; +} + +.remark__tile-view__tile:hover { + /* background: #993d70; */ + background: #44bc96; + opacity: 1; +} diff --git a/docs/slides/libs/tile-view-0.2.6/tile-view.js b/docs/slides/libs/tile-view-0.2.6/tile-view.js new file mode 100644 index 00000000..bb31dc2f --- /dev/null +++ b/docs/slides/libs/tile-view-0.2.6/tile-view.js @@ -0,0 +1,177 @@ +/* + * Tile View for remark.js Slides + * + * Garrick Aden-Buie + * + * Inspired and converted to Vanilla JS from + * https://github.com/StephenHesperus/remark-hook/ + * + * Include after remarkjs slides are initialized. + * + */ + +/* global slideshow */ +(function () { + const ready = function (fn) { + /* MIT License Copyright (c) 2016 Nuclei */ + /* https://github.com/nuclei/readyjs */ + const completed = () => { + document.removeEventListener('DOMContentLoaded', completed) + window.removeEventListener('load', completed) + fn() + } + if (document.readyState !== 'loading') { + setTimeout(fn) + } else { + document.addEventListener('DOMContentLoaded', completed) + window.addEventListener('load', completed) + } + } + + ready(function () { + const launchKey = 79 // keycode for O, used to enable tile view + + // Slides container + const remarkSlideShow = document.querySelector('div.remark-slides-area') + + let tileView = document.querySelector('div.remark__tile-view') + if (!tileView) { + tileView = document.createElement('div') + tileView.className = 'remark__tile-view' + } + + const toggleElement = el => { + el.style.display = el.style.display === 'none' ? '' : 'none' + } + + function slideshowResize () { + window.dispatchEvent(new Event('resize')) + } + + const toggleTileView = function () { + toggleElement(tileView) + toggleElement(remarkSlideShow) + + if (tileView.style.display === 'none') { + // tileView is now hidden, go to current slide + slideshow.gotoSlide(tileVars.currentSlideIdx + 1) + + slideshow.resume() + slideshowResize() + } else { + // store current slide index prior to launching tile-view + tileVars.currentSlideIdx = slideshow.getCurrentSlideIndex() + + // set class on seen and current slide and scroll into view + const tiles = tileView.querySelectorAll('.remark__tile-view__tile'); + [...tiles].forEach((tile, idx) => { + tile.classList.toggle( + 'remark__tile-view__tile--seen', + idx < tileVars.currentSlideIdx + ) + tile.classList.toggle( + 'remark__tile-view__tile--current', + idx === tileVars.currentSlideIdx + ) + }) + tiles[tileVars.currentSlideIdx].scrollIntoView({ + behavior: 'smooth', + block: 'center' + }) + + slideshow.pause() + } + } + + const createTileView = ({ minSize = 250, title = document.title } = {}) => { + // Tile view header + const h1 = document.createElement('h1') + h1.className = 'remark__tile-view__header' + h1.innerHTML = title + + tileView.appendChild(h1) + const tiles = document.createElement('div') + tiles.className = 'remark__tile-view__tiles' + tileView.appendChild(tiles) + + // Clone slideshow + const slidesArea = remarkSlideShow.cloneNode(true) + + // Calculate slide scale and tile container size + const slideScaler = slidesArea.querySelector('.remark-slide-scaler') + const slideWidth = parseFloat(slideScaler.style.width.replace('px', '')) + const slideHeight = parseFloat( + slideScaler.style.height.replace('px', '') + ) + const scale = minSize / Math.min(slideWidth, slideHeight) + let tileWidth = Math.round(slideWidth * scale) + let tileHeight = Math.round(slideHeight * scale) + + // convert tileWidth/Height to em relative to base 18px (set in CSS) + tileWidth = tileWidth / 18 + tileHeight = tileHeight / 18 + + tiles.style.gridTemplateColumns = `repeat(auto-fill, minmax(${tileWidth}em, 1fr))` + + const slides = slidesArea.querySelectorAll('.remark-slide-container') + + slides.forEach((slide, slideIndex) => { + let tile = document.createElement('template') + tile.innerHTML = `
    +
    +
    ` + tile = tile.content.firstChild + + const tileContainer = tile.querySelector( + '.remark__tile-view__slide-container' + ) + tileContainer.style.width = `${tileWidth}em` + tileContainer.style.height = `${tileHeight}em` + + const thisSlideScaler = slide.querySelector('.remark-slide-scaler') + thisSlideScaler.style.top = '0px' + thisSlideScaler.style.left = '0px' + thisSlideScaler.style.transform = `scale(${scale})` + thisSlideScaler.parentElement.classList.add('remark-visible') + + slide.addEventListener('click', () => { + tileVars.currentSlideIdx = slideIndex + toggleTileView() + }) + + tileContainer.appendChild(slide) + tiles.appendChild(tile) + }) + + document.body.appendChild(tileView) + } + + const tileVars = {} + + document.addEventListener('keydown', ev => { + if (ev.keyCode === launchKey) { + toggleTileView() + } + }) + + const addTileViewHelpText = () => { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 'o' + newRow.innerHTML += 'Tile View: Overview of Slides' + helpTable.append(newRow) + } + + createTileView({ minSize: 200 }) + toggleElement(tileView) + addTileViewHelpText() + }) +})() diff --git a/docs/slides/libs/tile-view/tile-view.css b/docs/slides/libs/tile-view/tile-view.css new file mode 100644 index 00000000..e1870da5 --- /dev/null +++ b/docs/slides/libs/tile-view/tile-view.css @@ -0,0 +1,52 @@ +.remark__tile-view * { + box-sizing: border-box; +} + +.remark__tile-view { + background: lightgray; + position: relative; + width: 100%; + height: 100%; + padding: 3em; + font-size: 18px; + box-sizing: border-box; + overflow: scroll; +} + +.remark__tile-view__header { + text-align: center; +} + +.remark__tile-view__tiles { + display: grid; + /* Set column width in JS */ + /* grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); */ + justify-items: center; +} + +.remark__tile-view__tile { + position: relative; + margin: 0.5em; + padding: 0.5em; +} + +.remark__tile-view__slide-container { + margin: 0 auto; +} + +.remark__tile-view__tile--current { + background: #ffd863; + border: 5px solid #ffd863; + margin: calc(0.5em - 5px); + border-radius: 0; +} + +.remark__tile-view__tile--seen { + opacity: 0.5; +} + +.remark__tile-view__tile:hover { + /* background: #993d70; */ + background: #44bc96; + opacity: 1; +} diff --git a/docs/slides/libs/tile-view/tile-view.js b/docs/slides/libs/tile-view/tile-view.js new file mode 100644 index 00000000..bb31dc2f --- /dev/null +++ b/docs/slides/libs/tile-view/tile-view.js @@ -0,0 +1,177 @@ +/* + * Tile View for remark.js Slides + * + * Garrick Aden-Buie + * + * Inspired and converted to Vanilla JS from + * https://github.com/StephenHesperus/remark-hook/ + * + * Include after remarkjs slides are initialized. + * + */ + +/* global slideshow */ +(function () { + const ready = function (fn) { + /* MIT License Copyright (c) 2016 Nuclei */ + /* https://github.com/nuclei/readyjs */ + const completed = () => { + document.removeEventListener('DOMContentLoaded', completed) + window.removeEventListener('load', completed) + fn() + } + if (document.readyState !== 'loading') { + setTimeout(fn) + } else { + document.addEventListener('DOMContentLoaded', completed) + window.addEventListener('load', completed) + } + } + + ready(function () { + const launchKey = 79 // keycode for O, used to enable tile view + + // Slides container + const remarkSlideShow = document.querySelector('div.remark-slides-area') + + let tileView = document.querySelector('div.remark__tile-view') + if (!tileView) { + tileView = document.createElement('div') + tileView.className = 'remark__tile-view' + } + + const toggleElement = el => { + el.style.display = el.style.display === 'none' ? '' : 'none' + } + + function slideshowResize () { + window.dispatchEvent(new Event('resize')) + } + + const toggleTileView = function () { + toggleElement(tileView) + toggleElement(remarkSlideShow) + + if (tileView.style.display === 'none') { + // tileView is now hidden, go to current slide + slideshow.gotoSlide(tileVars.currentSlideIdx + 1) + + slideshow.resume() + slideshowResize() + } else { + // store current slide index prior to launching tile-view + tileVars.currentSlideIdx = slideshow.getCurrentSlideIndex() + + // set class on seen and current slide and scroll into view + const tiles = tileView.querySelectorAll('.remark__tile-view__tile'); + [...tiles].forEach((tile, idx) => { + tile.classList.toggle( + 'remark__tile-view__tile--seen', + idx < tileVars.currentSlideIdx + ) + tile.classList.toggle( + 'remark__tile-view__tile--current', + idx === tileVars.currentSlideIdx + ) + }) + tiles[tileVars.currentSlideIdx].scrollIntoView({ + behavior: 'smooth', + block: 'center' + }) + + slideshow.pause() + } + } + + const createTileView = ({ minSize = 250, title = document.title } = {}) => { + // Tile view header + const h1 = document.createElement('h1') + h1.className = 'remark__tile-view__header' + h1.innerHTML = title + + tileView.appendChild(h1) + const tiles = document.createElement('div') + tiles.className = 'remark__tile-view__tiles' + tileView.appendChild(tiles) + + // Clone slideshow + const slidesArea = remarkSlideShow.cloneNode(true) + + // Calculate slide scale and tile container size + const slideScaler = slidesArea.querySelector('.remark-slide-scaler') + const slideWidth = parseFloat(slideScaler.style.width.replace('px', '')) + const slideHeight = parseFloat( + slideScaler.style.height.replace('px', '') + ) + const scale = minSize / Math.min(slideWidth, slideHeight) + let tileWidth = Math.round(slideWidth * scale) + let tileHeight = Math.round(slideHeight * scale) + + // convert tileWidth/Height to em relative to base 18px (set in CSS) + tileWidth = tileWidth / 18 + tileHeight = tileHeight / 18 + + tiles.style.gridTemplateColumns = `repeat(auto-fill, minmax(${tileWidth}em, 1fr))` + + const slides = slidesArea.querySelectorAll('.remark-slide-container') + + slides.forEach((slide, slideIndex) => { + let tile = document.createElement('template') + tile.innerHTML = `
    +
    +
    ` + tile = tile.content.firstChild + + const tileContainer = tile.querySelector( + '.remark__tile-view__slide-container' + ) + tileContainer.style.width = `${tileWidth}em` + tileContainer.style.height = `${tileHeight}em` + + const thisSlideScaler = slide.querySelector('.remark-slide-scaler') + thisSlideScaler.style.top = '0px' + thisSlideScaler.style.left = '0px' + thisSlideScaler.style.transform = `scale(${scale})` + thisSlideScaler.parentElement.classList.add('remark-visible') + + slide.addEventListener('click', () => { + tileVars.currentSlideIdx = slideIndex + toggleTileView() + }) + + tileContainer.appendChild(slide) + tiles.appendChild(tile) + }) + + document.body.appendChild(tileView) + } + + const tileVars = {} + + document.addEventListener('keydown', ev => { + if (ev.keyCode === launchKey) { + toggleTileView() + } + }) + + const addTileViewHelpText = () => { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 'o' + newRow.innerHTML += 'Tile View: Overview of Slides' + helpTable.append(newRow) + } + + createTileView({ minSize: 200 }) + toggleElement(tileView) + addTileViewHelpText() + }) +})() diff --git a/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css b/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css new file mode 100644 index 00000000..be14e7a5 --- /dev/null +++ b/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css @@ -0,0 +1,157 @@ +:root { + --xe-scribble--pen-color: #FF0000; + --xe-scribble--button-draw-active-bg: #FF0000; + --xe-scribble--button-draw-active-fg: #FFFFFF; + --xe-scribble--button-active-color: #000000; + --xe-scribble--button-inactive-color: #666666; +} + +.xe-scribble__cursor__eraser { + position: absolute; + height: 10px; + width: 10px; + border-radius: 50%; + pointer-events: none; + z-index: 5; +} + +.xe-scribble__cursor__eraser.hidden { + display: none; +} + +.xe-scribble { + position: absolute; + top: 0px; + left: 0px; +} + +.xe-scribble__canvas__drawing, +.xe-scribble__canvas, +.xe-scribble { + pointer-events: none; + z-index: 1; +} + +.xe-scribble__canvas__drawing.active { + pointer-events: all; +} + +.xe-scribble__tools { + position: absolute; + top: 10px; + right: 10px; + pointer-events: all; + z-index: 101; + width: 32px; +} + +.xe-scribble__button { + cursor: pointer; + padding: 3px; + background: unset; + border: unset; + border-radius: 100%; + width: 100%; + height: calc(100% - 3px); + margin-bottom: 5px; + opacity: 1; + transition: transform ease-out 100ms, opacity ease-out 80ms; +} + +.xe-scribble__button:hover { + background-color: #eee; +} +.xe-scribble__button.active { + background-color: #4443; +} + +.xe-scribble__tools.minimized > :nth-child(2) { + opacity: 0; + transform: translateY(-100%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(3) { + opacity: 0; + transform: translateY(-200%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(4) { + opacity: 0; + transform: translateY(-300%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__button > svg { + width: 100%; + height: 100%; +} + +.xe-scribble__button__draw, +.xe-scribble__button__erase, +.xe-scribble__button__clear { + color: var(--xe-scribble--button-inactive-color); +} + +.xe-scribble__button__draw:hover, +.xe-scribble__button__erase:hover, +.xe-scribble__button__clear:hover { + color: var(--xe-scribble--button-active-color); +} + +.xe-scribble__button__draw.active { + color: var(--xe-scribble--button-draw-active-fg); + background-color: var(--xe-scribble--button-draw-active-bg); +} + +.xe-scribble__button__erase.active > svg, +.xe-scribble__button__clear:hover > svg { + color: var(--xe-scribble--button-active-color); +} + +#xe-scribble__colorPicker { + border-radius: 100%; + height: 30px; + width: 30px; + margin: 0; + border: none; + outline: none; + -webkit-appearance: none; +} + +#xe-scribble__colorPicker::-webkit-color-swatch-wrapper { + padding: 0; +} + +#xe-scribble__colorPicker::-webkit-color-swatch { + border-radius: 100%; +} + +#xe-scribble__colorPicker::-moz-color-swatch{ + border: none; + border-radius: 100%; +} + +/* --- +
    + + + + +
    + +#f44336 #E91E63 #9C27B0 #673AB7 #3F51B5 #2196F3 #03A9F4 #00BCD4 #009688 #4CAF50 #8BC34A #CDDC39 #FFEB3B #FFC107 #FF9800 #FF5722 #795548 #9E9E9E #000000 #FFFFFF +---*/ + +@media print { + .xe-scribble__tools { + display: none; + } +} diff --git a/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js b/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js new file mode 100644 index 00000000..c6f9edfd --- /dev/null +++ b/docs/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js @@ -0,0 +1,675 @@ +/* + * Scribble for remark.js/xaringan + * Matthew T. Warkentin + * and Garrick Aden-Buie + */ + +/* global slideshow,fabric */ + +class Scribble { + constructor (opts) { + // User options + this.opts = opts + this.penColors = opts.pen_color || '#FF0000' + this.currColor = this.penColors[0] + this.penSize = opts.pen_size || 3 + this.eraserSize = opts.eraser_size || this.penSize * 10 + this.tolerance = this.eraserSize / 2 + // this.eraserColor = opts['eraser_color'] || 'rgba(0, 0, 0, 0.1)' + this.transparent = 'rgba(0, 0, 0, 0)' + this.opts.palette = [ + ...this.opts.palette, + ...this.defaultPresetColors.slice(this.opts.palette.length) + ] + + // Fabric objects + this.fabrics = null + this.currFabric = null + this.pathCache = [] + this.undo = this.undo.bind(this) + this.redo = this.redo.bind(this) + + // State objects + this.mouseDown = false + this.drawMode = false + this.eraseMode = false + this.hideToolbox = true + + this.eraserCursorMovement = this.eraserCursorMovement.bind(this) + this.eraserDetectErase = this.eraserDetectErase.bind(this) + this.setPresetColor = this.setPresetColor.bind(this) + + // Toolbox objects + this.launchKey = 83 // "S" used to toggle toolbox/state + this.toolBox = null + this.drawBtn = null + this.eraseBtn = null + this.clearBtn = null + this.colorPicker = null + this.eraserCursor = null + + // Scribble initialization + this.setPenColorCSSVariables(this.currColor) + this.addCanvasToAllSlides() + this.addCanvasHelpText() + this.assembleToolbox() + this.addToolboxToSlide() + this.initEraserCursor() + this.addToggleToolbox() + this.resizeContent() + + this.addDrawing() + this.addClearing() + this.addErasing() + + // Scribble continuous updating + slideshow.on('afterShowSlide', (slide) => { + this.currFabric = this.fabrics[slide.getSlideIndex()] + this.addToolboxToSlide() + this.pathCache = [] + }) + slideshow.on( + 'beforeHideSlide', + this.removeTransparentEraserPaths.bind(this) + ) + window.addEventListener('resize', this.resizeContent.bind(this)) + } + + getVisibleSlide () { + return document.querySelector('.remark-visible') + } + + getVisibleSlideSize () { + const slideSize = this.getVisibleSlide() + .querySelector('.remark-slide-scaler') + .getBoundingClientRect() + return slideSize + } + + getVisibleSlideScaleRatio () { + const scaleRatio = this.getVisibleSlide().querySelector( + '.remark-slide-scaler' + ).style.transform + return scaleRatio + } + + getVisibleSlideCanvas () { + return this.fabrics[slideshow.getCurrentSlideIndex()] + } + + getVisibleSlideOuterContainer () { + return this.getVisibleSlide().querySelector( + '.xe-scribble' + ) + } + + getVisibleSlideCanvasContainers () { + return this.getVisibleSlide().querySelectorAll( + '.xe-scribble__canvas__drawing' + ) + } + + setPenColorCSSVariables (color) { + const root = document.documentElement + root.style.setProperty('--xe-scribble--button-draw-active-bg', color) + root.style.setProperty( + '--xe-scribble--button-draw-active-fg', + this.pickContrastForegroundColor(color) + ) + root.style.setProperty('--xe-scribble--pen-color', color) + } + + createCanvas (id) { + const slideSize = this.getVisibleSlideSize() + + const canvasDiv = document.createElement('div') + canvasDiv.classList.add('xe-scribble') + canvasDiv.style.width = slideSize.width + canvasDiv.style.height = slideSize.height + canvasDiv.style.left = slideSize.left + 'px' + canvasDiv.style.top = slideSize.top + 'px' + ;['mousedown', 'touchstart'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mousedown.bind(this)) + }) + ;['mouseup', 'touchend'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mouseup.bind(this)) + }) + + const canvas = document.createElement('canvas') + canvas.setAttribute('id', 'canvas' + id) + canvas.classList.add('xe-scribble__canvas__drawing') + canvas.setAttribute('width', slideSize.width) + canvas.setAttribute('height', slideSize.height) + + canvasDiv.appendChild(canvas) + + return canvasDiv + } + + addCanvasToAllSlides () { + // Add to slide container + const nslides = slideshow.getSlideCount() + let i = 0 + const slides = document.getElementsByClassName('remark-slide-container') + slides.forEach((slide) => { + if (i + 1 <= nslides) { + const canvasDiv = this.createCanvas(i) + slide.appendChild(canvasDiv) + i += 1 + } + }) + + // Convert to fabric.Canvas + const allCanvases = document.querySelectorAll('.xe-scribble__canvas__drawing') + this.fabrics = [] + allCanvases.forEach((el, index) => { + this.fabrics[index] = new fabric.Canvas(el.id, { + isDrawingMode: false, + containerClass: 'xe-scribble__canvas' + }) + }) + this.currFabric = this.fabrics[slideshow.getCurrentSlideIndex()] + } + + resizeContent () { + const scalerSize = document + .querySelector('.remark-visible .remark-slide-scaler') + .getBoundingClientRect() + + // Resize canvas container + const outerContainers = document.querySelectorAll( + '.xe-scribble' + ) + outerContainers.forEach((div) => { + div.style.width = scalerSize.width + 'px' + div.style.height = scalerSize.height + 'px' + div.style.left = scalerSize.left + 'px' + div.style.top = scalerSize.top + 'px' + }) + + const scaleRatio = parseFloat( + this.getVisibleSlideScaleRatio().match('\\d+.\\d+') + ) + + // Resize canvas itself + this.fabrics.forEach((fab) => { + fab.setWidth(scalerSize.width) + fab.setHeight(scalerSize.height) + fab.setZoom(scaleRatio) + }) + + // Reposition toolbox outside slides if there is extra space + if ((window.innerWidth - scalerSize.width) / 2 >= 42) { + this.toolBox.style.right = '-40px' + } else { + this.toolBox.style.right = '10px' + } + } + + createButton (id, name, title) { + const btn = document.createElement('button') + btn.classList.add('xe-scribble__button', 'xe-scribble__button__' + id) + btn.innerHTML = this.svgs[name] + btn.title = title || (name.slice(0, 1).toUpperCase() + name.slice(1)) + return btn + } + + createColorPicker () { + const colorPicker = document.createElement('input') + colorPicker.setAttribute('id', 'xe-scribble__colorPicker') + colorPicker.classList.add('xe-scribble__button') + colorPicker.setAttribute('type', 'color') + colorPicker.setAttribute('value', this.currColor) + colorPicker.title = 'Choose Pen Color' + return colorPicker + } + + createToolbox () { + this.toolBox = document.createElement('div') + this.toolBox.classList = 'xe-scribble__tools' + } + + rgbColorToHex (color) { + // https://haacked.com/archive/2009/12/29/convert-rgb-to-hex.aspx/ + if (color.substr(0, 1) === '#') { + return color + } + const digits = /rgb\((\d+),\s*(\d+),\s*(\d+)/.exec(color) + + const red = parseInt(digits[1]) + const green = parseInt(digits[2]) + const blue = parseInt(digits[3]) + + const rgb = blue | (green << 8) | (red << 16) + return '#' + rgb.toString(16).padStart(6, '0') + } + + pickContrastForegroundColor (color, light, dark, threshold) { + color = this.rgbColorToHex(color) + + // https://stackoverflow.com/a/41491220/2022615 + light = light || '#FFFFFF' + dark = dark || '#000000' + threshold = threshold || 145 + color = (color.charAt(0) === '#') ? color.substring(1, 7) : color + const r = parseInt(color.substring(0, 2), 16) // hexToR + const g = parseInt(color.substring(2, 4), 16) // hexToG + const b = parseInt(color.substring(4, 6), 16) // hexToB + const score = ((r * 0.299) + (g * 0.587) + (b * 0.114)) + return (score > threshold) ? dark : light + } + + assembleToolbox () { + this.createToolbox() + + // Build draw, erase, clear buttons + this.drawBtn = this.createButton('draw', 'draw', 'Start Drawing (S)') + this.eraseBtn = this.createButton('erase', 'eraser', 'Erase Lines') + this.clearBtn = this.createButton('clear', 'trash', 'Clear This Slide') + + this.colorPicker = this.createColorPicker() + this.colorPicker.addEventListener('input', () => { + this.currColor = this.colorPicker.value + if (this.drawMode) { + this.currFabric.freeDrawingBrush.color = this.currColor + } + this.setPenColorCSSVariables(this.currColor) + }) + + ;[this.drawBtn, this.eraseBtn, this.clearBtn, this.colorPicker] + .forEach((btn) => { + this.toolBox.appendChild(btn) + }) + + ;['click', 'touchend'].forEach((action) => { + this.toolBox.addEventListener(action, ev => ev.stopPropagation()) + }) + } + + noScribble () { + return this.getVisibleSlide() + .querySelector('.remark-slide-content') + .classList.contains('no-scribble') + } + + addToolboxToSlide () { + if (this.noScribble()) return + + const canvasDiv = this.getVisibleSlideOuterContainer() + canvasDiv.appendChild(this.toolBox) + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + } + } + + addToggleToolbox () { + const self = this + + document.addEventListener('keydown', (ev) => { + if (ev.keyCode === this.launchKey) { + self.toggleToolbox() + } + }) + + this.toolBox.addEventListener('mouseleave', function (ev) { + if (self.drawMode | self.eraseMode) { + return + } + self.minimizeTimeout = setTimeout(() => self.toggleToolbox(false), 2000) + }) + + this.toolBox.addEventListener('mouseenter', function (ev) { + if (self.minimizeTimeout) { + clearTimeout(self.minimizeTimeout) + } + }) + } + + toggleToolbox (show) { + if (this.noScribble()) return + + const isMinimized = this.toolBox.matches('.minimized') + if (typeof show !== 'undefined' && show === !isMinimized) return + + this.hideToolbox = !(show || isMinimized) + this.toolBox.classList.toggle('minimized') + + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + if (this.drawMode) { + this.drawBtn.click() + } else if (this.eraseMode) { + this.eraseBtn.click() + } + } else { + this.toolBox.classList.remove('minimized') + clearTimeout(this.minimizeTimeout) + this.minimizeTimeout = null + if (!this.drawMode) this.drawBtn.click() + } + } + + addCanvasHelpText () { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 's' + newRow.innerHTML += 'Toggle scribble toolbox' + helpTable.append(newRow) + } + + mousedown () { + this.mouseDown = true + } + + mouseup () { + this.mouseDown = false + } + + getCanvasPaths () { + return this.currFabric.getObjects('path') + } + + addDrawing () { + const self = this + ;['click', 'touchend'].forEach((gesture) => { + this.drawBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + if (self.drawMode) { + self.stopDrawing() + } else { + self.startDrawing() + } + }) + }) + } + + setPresetColor (ev) { + let idx = Number(ev.key) + if (isNaN(idx) || typeof idx === 'undefined' || idx >= 10) return + idx = idx === 0 ? 10 : idx + const presetColor = this.opts.palette[idx - 1] + this.currColor = presetColor + this.currFabric.freeDrawingBrush.color = presetColor + this.setPenColorCSSVariables(presetColor) + this.colorPicker.value = presetColor + } + + startDrawing () { + if (this.noScribble()) return + + slideshow.pause() + this.toggleToolbox(true) + + this.drawMode = true + this.eraseMode = false + this.drawBtn.title = 'Stop Drawing (S)' + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.penSize + this.currFabric.freeDrawingBrush.color = this.currColor + this.currFabric.freeDrawingCursor = 'crosshair' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'draw') + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + document.addEventListener('keydown', this.setPresetColor) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + this.eraserCursor.classList.add('hidden') + this.drawBtn.classList.add('active') + this.eraseBtn.classList.remove('active') + } + + stopDrawing () { + slideshow.resume() + + this.drawMode = false + this.eraseMode = false + this.drawBtn.title = 'Start Drawing (S)' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'draw') + }) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + document.removeEventListener('keydown', this.setPresetColor) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + } + + addClearing () { + ;['click', 'touchend'].forEach((gesture) => { + this.clearBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.clearCurrentCanvas() + }) + }) + } + + clearCurrentCanvas () { + this.currFabric.forEachObject((obj) => { + this.currFabric.remove(obj) + }) + } + + addErasing () { + ;['click', 'touchend'].forEach((gesture) => { + this.eraseBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.eraseMode ? this.stopErasing() : this.startErasing() + }) + }) + } + + eraserColor () { + const slide = this.getVisibleSlide().querySelector('.remark-slide-content') + const slideBgColor = window + .getComputedStyle(slide) + .getPropertyValue('background-color') + + return this.pickContrastForegroundColor( + slideBgColor, + 'rgba(255, 255, 255, 0.33)', + 'rgba(0, 0, 0, 0.33)' + ) + } + + startErasing () { + slideshow.pause() + + this.eraseMode = true + this.drawMode = false + this.eraseBtn.title = 'Stop Erasing' + this.eraserCursor.style.backgroundColor = this.eraserColor() + this.colorPicker.classList.add('hidden') + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.addEventListener('mousemove', this.eraserDetectErase) + outerDiv.addEventListener('touchmove', this.eraserDetectErase) + + document.addEventListener('mousemove', this.eraserCursorMovement) + document.addEventListener('touchmove', this.eraserCursorMovement) + + const self = this + ;['mousemove', 'touchmove'].forEach(function (action) { + document.addEventListener(action, function (ev) { + self.eraserCursor.classList.remove('hidden') + }, { once: true }) + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.tolerance + this.currFabric.freeDrawingBrush.color = this.transparent + this.currFabric.freeDrawingCursor = 'none' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.add('active') + } + + stopErasing () { + this.drawMode = false + this.eraseMode = false + this.eraserCursor.classList.add('hidden') + this.eraseBtn.title = 'Erase Lines' + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.removeEventListener('mousemove', this.eraserDetectErase) + outerDiv.removeEventListener('touchmove', this.eraserDetectErase) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + + slideshow.resume() + } + + eraserDetectErase (ev) { + if (this.mouseDown & this.eraseMode) { + const xy = [ + this.currFabric.getPointer(ev).x, + this.currFabric.getPointer(ev).y + ] + const objs = this.getCanvasPaths() + const paths = objs.map((path) => { + return path.path + }) + + const shouldRemove = paths.map((path) => { + const toRemove = path.some((point) => { + const xcond = Math.abs(point[1] - xy[0]) < this.tolerance + const ycond = Math.abs(point[2] - xy[1]) < this.tolerance + const both = xcond & ycond + return both + }) + return toRemove + }) + + const pathCache = this.pathCache + const currFabric = this.currFabric + + objs.map(function (item, index) { + if (shouldRemove[index]) { + pathCache.push(item) + currFabric.remove(item) + } + }) + } + } + + removeTransparentEraserPaths () { + this.currFabric.forEachObject((obj) => { + if (obj.stroke === this.transparent) { + this.currFabric.remove(obj) + } + }) + } + + initEraserCursor () { + const slideArea = document.querySelector('.remark-slides-area') + this.eraserCursor = document.createElement('div') + this.eraserCursor.classList.add('xe-scribble__cursor__eraser', 'hidden') + this.eraserCursor.style.width = this.eraserSize + 'px' + this.eraserCursor.style.height = this.eraserSize + 'px' + + slideArea.appendChild(this.eraserCursor) + } + + eraserCursorMovement (ev) { + var pX + var pY + if (ev.type === 'mousemove') { + pX = ev.pageX + pY = ev.pageY + } else if (ev.type === 'touchmove') { + pX = ev.touches[0].pageX + pY = ev.touches[0].pageY + } + this.eraserCursor.style.top = pY - this.tolerance + 'px' + this.eraserCursor.style.left = pX - this.tolerance + 'px' + } + + undo (ev) { + if (ev.keyCode === 37) { + this.removeTransparentEraserPaths() + + if (this.currFabric._objects.length === 0) return + + const removedPath = this.currFabric._objects.pop() + this.pathCache.push(removedPath) + this.currFabric.renderAll() + } + } + + redo (ev) { + if (ev.keyCode === 39) { + this.removeTransparentEraserPaths() + + if (this.pathCache.length === 0) return + + const addedPath = this.pathCache.pop() + this.currFabric._objects.push(addedPath) + this.currFabric.renderAll() + } + } +} + +Scribble.prototype.svgs = { + // https://phosphoricons.com/ + draw: + '', + eraser: + '', + trash: + '' +} + +Scribble.prototype.defaultPresetColors = [ + '#e51c23', // red (1) + '#259b24', // green (2) + '#9c27b0', // purple (3) + '#5677fc', // blue (4) + '#ff9800', // orange (5) + '#00bcd4', // cyan (6) + '#ffc107', // yellow (7) + '#009688', // teal (8) + '#9e9e9e', // grey (9) + '#212121' // black (0) +] diff --git a/docs/slides/libs/xaringanExtra-scribble/scribble.css b/docs/slides/libs/xaringanExtra-scribble/scribble.css new file mode 100644 index 00000000..be14e7a5 --- /dev/null +++ b/docs/slides/libs/xaringanExtra-scribble/scribble.css @@ -0,0 +1,157 @@ +:root { + --xe-scribble--pen-color: #FF0000; + --xe-scribble--button-draw-active-bg: #FF0000; + --xe-scribble--button-draw-active-fg: #FFFFFF; + --xe-scribble--button-active-color: #000000; + --xe-scribble--button-inactive-color: #666666; +} + +.xe-scribble__cursor__eraser { + position: absolute; + height: 10px; + width: 10px; + border-radius: 50%; + pointer-events: none; + z-index: 5; +} + +.xe-scribble__cursor__eraser.hidden { + display: none; +} + +.xe-scribble { + position: absolute; + top: 0px; + left: 0px; +} + +.xe-scribble__canvas__drawing, +.xe-scribble__canvas, +.xe-scribble { + pointer-events: none; + z-index: 1; +} + +.xe-scribble__canvas__drawing.active { + pointer-events: all; +} + +.xe-scribble__tools { + position: absolute; + top: 10px; + right: 10px; + pointer-events: all; + z-index: 101; + width: 32px; +} + +.xe-scribble__button { + cursor: pointer; + padding: 3px; + background: unset; + border: unset; + border-radius: 100%; + width: 100%; + height: calc(100% - 3px); + margin-bottom: 5px; + opacity: 1; + transition: transform ease-out 100ms, opacity ease-out 80ms; +} + +.xe-scribble__button:hover { + background-color: #eee; +} +.xe-scribble__button.active { + background-color: #4443; +} + +.xe-scribble__tools.minimized > :nth-child(2) { + opacity: 0; + transform: translateY(-100%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(3) { + opacity: 0; + transform: translateY(-200%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(4) { + opacity: 0; + transform: translateY(-300%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__button > svg { + width: 100%; + height: 100%; +} + +.xe-scribble__button__draw, +.xe-scribble__button__erase, +.xe-scribble__button__clear { + color: var(--xe-scribble--button-inactive-color); +} + +.xe-scribble__button__draw:hover, +.xe-scribble__button__erase:hover, +.xe-scribble__button__clear:hover { + color: var(--xe-scribble--button-active-color); +} + +.xe-scribble__button__draw.active { + color: var(--xe-scribble--button-draw-active-fg); + background-color: var(--xe-scribble--button-draw-active-bg); +} + +.xe-scribble__button__erase.active > svg, +.xe-scribble__button__clear:hover > svg { + color: var(--xe-scribble--button-active-color); +} + +#xe-scribble__colorPicker { + border-radius: 100%; + height: 30px; + width: 30px; + margin: 0; + border: none; + outline: none; + -webkit-appearance: none; +} + +#xe-scribble__colorPicker::-webkit-color-swatch-wrapper { + padding: 0; +} + +#xe-scribble__colorPicker::-webkit-color-swatch { + border-radius: 100%; +} + +#xe-scribble__colorPicker::-moz-color-swatch{ + border: none; + border-radius: 100%; +} + +/* --- +
    + + + + +
    + +#f44336 #E91E63 #9C27B0 #673AB7 #3F51B5 #2196F3 #03A9F4 #00BCD4 #009688 #4CAF50 #8BC34A #CDDC39 #FFEB3B #FFC107 #FF9800 #FF5722 #795548 #9E9E9E #000000 #FFFFFF +---*/ + +@media print { + .xe-scribble__tools { + display: none; + } +} diff --git a/docs/slides/libs/xaringanExtra-scribble/scribble.js b/docs/slides/libs/xaringanExtra-scribble/scribble.js new file mode 100644 index 00000000..c6f9edfd --- /dev/null +++ b/docs/slides/libs/xaringanExtra-scribble/scribble.js @@ -0,0 +1,675 @@ +/* + * Scribble for remark.js/xaringan + * Matthew T. Warkentin + * and Garrick Aden-Buie + */ + +/* global slideshow,fabric */ + +class Scribble { + constructor (opts) { + // User options + this.opts = opts + this.penColors = opts.pen_color || '#FF0000' + this.currColor = this.penColors[0] + this.penSize = opts.pen_size || 3 + this.eraserSize = opts.eraser_size || this.penSize * 10 + this.tolerance = this.eraserSize / 2 + // this.eraserColor = opts['eraser_color'] || 'rgba(0, 0, 0, 0.1)' + this.transparent = 'rgba(0, 0, 0, 0)' + this.opts.palette = [ + ...this.opts.palette, + ...this.defaultPresetColors.slice(this.opts.palette.length) + ] + + // Fabric objects + this.fabrics = null + this.currFabric = null + this.pathCache = [] + this.undo = this.undo.bind(this) + this.redo = this.redo.bind(this) + + // State objects + this.mouseDown = false + this.drawMode = false + this.eraseMode = false + this.hideToolbox = true + + this.eraserCursorMovement = this.eraserCursorMovement.bind(this) + this.eraserDetectErase = this.eraserDetectErase.bind(this) + this.setPresetColor = this.setPresetColor.bind(this) + + // Toolbox objects + this.launchKey = 83 // "S" used to toggle toolbox/state + this.toolBox = null + this.drawBtn = null + this.eraseBtn = null + this.clearBtn = null + this.colorPicker = null + this.eraserCursor = null + + // Scribble initialization + this.setPenColorCSSVariables(this.currColor) + this.addCanvasToAllSlides() + this.addCanvasHelpText() + this.assembleToolbox() + this.addToolboxToSlide() + this.initEraserCursor() + this.addToggleToolbox() + this.resizeContent() + + this.addDrawing() + this.addClearing() + this.addErasing() + + // Scribble continuous updating + slideshow.on('afterShowSlide', (slide) => { + this.currFabric = this.fabrics[slide.getSlideIndex()] + this.addToolboxToSlide() + this.pathCache = [] + }) + slideshow.on( + 'beforeHideSlide', + this.removeTransparentEraserPaths.bind(this) + ) + window.addEventListener('resize', this.resizeContent.bind(this)) + } + + getVisibleSlide () { + return document.querySelector('.remark-visible') + } + + getVisibleSlideSize () { + const slideSize = this.getVisibleSlide() + .querySelector('.remark-slide-scaler') + .getBoundingClientRect() + return slideSize + } + + getVisibleSlideScaleRatio () { + const scaleRatio = this.getVisibleSlide().querySelector( + '.remark-slide-scaler' + ).style.transform + return scaleRatio + } + + getVisibleSlideCanvas () { + return this.fabrics[slideshow.getCurrentSlideIndex()] + } + + getVisibleSlideOuterContainer () { + return this.getVisibleSlide().querySelector( + '.xe-scribble' + ) + } + + getVisibleSlideCanvasContainers () { + return this.getVisibleSlide().querySelectorAll( + '.xe-scribble__canvas__drawing' + ) + } + + setPenColorCSSVariables (color) { + const root = document.documentElement + root.style.setProperty('--xe-scribble--button-draw-active-bg', color) + root.style.setProperty( + '--xe-scribble--button-draw-active-fg', + this.pickContrastForegroundColor(color) + ) + root.style.setProperty('--xe-scribble--pen-color', color) + } + + createCanvas (id) { + const slideSize = this.getVisibleSlideSize() + + const canvasDiv = document.createElement('div') + canvasDiv.classList.add('xe-scribble') + canvasDiv.style.width = slideSize.width + canvasDiv.style.height = slideSize.height + canvasDiv.style.left = slideSize.left + 'px' + canvasDiv.style.top = slideSize.top + 'px' + ;['mousedown', 'touchstart'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mousedown.bind(this)) + }) + ;['mouseup', 'touchend'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mouseup.bind(this)) + }) + + const canvas = document.createElement('canvas') + canvas.setAttribute('id', 'canvas' + id) + canvas.classList.add('xe-scribble__canvas__drawing') + canvas.setAttribute('width', slideSize.width) + canvas.setAttribute('height', slideSize.height) + + canvasDiv.appendChild(canvas) + + return canvasDiv + } + + addCanvasToAllSlides () { + // Add to slide container + const nslides = slideshow.getSlideCount() + let i = 0 + const slides = document.getElementsByClassName('remark-slide-container') + slides.forEach((slide) => { + if (i + 1 <= nslides) { + const canvasDiv = this.createCanvas(i) + slide.appendChild(canvasDiv) + i += 1 + } + }) + + // Convert to fabric.Canvas + const allCanvases = document.querySelectorAll('.xe-scribble__canvas__drawing') + this.fabrics = [] + allCanvases.forEach((el, index) => { + this.fabrics[index] = new fabric.Canvas(el.id, { + isDrawingMode: false, + containerClass: 'xe-scribble__canvas' + }) + }) + this.currFabric = this.fabrics[slideshow.getCurrentSlideIndex()] + } + + resizeContent () { + const scalerSize = document + .querySelector('.remark-visible .remark-slide-scaler') + .getBoundingClientRect() + + // Resize canvas container + const outerContainers = document.querySelectorAll( + '.xe-scribble' + ) + outerContainers.forEach((div) => { + div.style.width = scalerSize.width + 'px' + div.style.height = scalerSize.height + 'px' + div.style.left = scalerSize.left + 'px' + div.style.top = scalerSize.top + 'px' + }) + + const scaleRatio = parseFloat( + this.getVisibleSlideScaleRatio().match('\\d+.\\d+') + ) + + // Resize canvas itself + this.fabrics.forEach((fab) => { + fab.setWidth(scalerSize.width) + fab.setHeight(scalerSize.height) + fab.setZoom(scaleRatio) + }) + + // Reposition toolbox outside slides if there is extra space + if ((window.innerWidth - scalerSize.width) / 2 >= 42) { + this.toolBox.style.right = '-40px' + } else { + this.toolBox.style.right = '10px' + } + } + + createButton (id, name, title) { + const btn = document.createElement('button') + btn.classList.add('xe-scribble__button', 'xe-scribble__button__' + id) + btn.innerHTML = this.svgs[name] + btn.title = title || (name.slice(0, 1).toUpperCase() + name.slice(1)) + return btn + } + + createColorPicker () { + const colorPicker = document.createElement('input') + colorPicker.setAttribute('id', 'xe-scribble__colorPicker') + colorPicker.classList.add('xe-scribble__button') + colorPicker.setAttribute('type', 'color') + colorPicker.setAttribute('value', this.currColor) + colorPicker.title = 'Choose Pen Color' + return colorPicker + } + + createToolbox () { + this.toolBox = document.createElement('div') + this.toolBox.classList = 'xe-scribble__tools' + } + + rgbColorToHex (color) { + // https://haacked.com/archive/2009/12/29/convert-rgb-to-hex.aspx/ + if (color.substr(0, 1) === '#') { + return color + } + const digits = /rgb\((\d+),\s*(\d+),\s*(\d+)/.exec(color) + + const red = parseInt(digits[1]) + const green = parseInt(digits[2]) + const blue = parseInt(digits[3]) + + const rgb = blue | (green << 8) | (red << 16) + return '#' + rgb.toString(16).padStart(6, '0') + } + + pickContrastForegroundColor (color, light, dark, threshold) { + color = this.rgbColorToHex(color) + + // https://stackoverflow.com/a/41491220/2022615 + light = light || '#FFFFFF' + dark = dark || '#000000' + threshold = threshold || 145 + color = (color.charAt(0) === '#') ? color.substring(1, 7) : color + const r = parseInt(color.substring(0, 2), 16) // hexToR + const g = parseInt(color.substring(2, 4), 16) // hexToG + const b = parseInt(color.substring(4, 6), 16) // hexToB + const score = ((r * 0.299) + (g * 0.587) + (b * 0.114)) + return (score > threshold) ? dark : light + } + + assembleToolbox () { + this.createToolbox() + + // Build draw, erase, clear buttons + this.drawBtn = this.createButton('draw', 'draw', 'Start Drawing (S)') + this.eraseBtn = this.createButton('erase', 'eraser', 'Erase Lines') + this.clearBtn = this.createButton('clear', 'trash', 'Clear This Slide') + + this.colorPicker = this.createColorPicker() + this.colorPicker.addEventListener('input', () => { + this.currColor = this.colorPicker.value + if (this.drawMode) { + this.currFabric.freeDrawingBrush.color = this.currColor + } + this.setPenColorCSSVariables(this.currColor) + }) + + ;[this.drawBtn, this.eraseBtn, this.clearBtn, this.colorPicker] + .forEach((btn) => { + this.toolBox.appendChild(btn) + }) + + ;['click', 'touchend'].forEach((action) => { + this.toolBox.addEventListener(action, ev => ev.stopPropagation()) + }) + } + + noScribble () { + return this.getVisibleSlide() + .querySelector('.remark-slide-content') + .classList.contains('no-scribble') + } + + addToolboxToSlide () { + if (this.noScribble()) return + + const canvasDiv = this.getVisibleSlideOuterContainer() + canvasDiv.appendChild(this.toolBox) + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + } + } + + addToggleToolbox () { + const self = this + + document.addEventListener('keydown', (ev) => { + if (ev.keyCode === this.launchKey) { + self.toggleToolbox() + } + }) + + this.toolBox.addEventListener('mouseleave', function (ev) { + if (self.drawMode | self.eraseMode) { + return + } + self.minimizeTimeout = setTimeout(() => self.toggleToolbox(false), 2000) + }) + + this.toolBox.addEventListener('mouseenter', function (ev) { + if (self.minimizeTimeout) { + clearTimeout(self.minimizeTimeout) + } + }) + } + + toggleToolbox (show) { + if (this.noScribble()) return + + const isMinimized = this.toolBox.matches('.minimized') + if (typeof show !== 'undefined' && show === !isMinimized) return + + this.hideToolbox = !(show || isMinimized) + this.toolBox.classList.toggle('minimized') + + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + if (this.drawMode) { + this.drawBtn.click() + } else if (this.eraseMode) { + this.eraseBtn.click() + } + } else { + this.toolBox.classList.remove('minimized') + clearTimeout(this.minimizeTimeout) + this.minimizeTimeout = null + if (!this.drawMode) this.drawBtn.click() + } + } + + addCanvasHelpText () { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 's' + newRow.innerHTML += 'Toggle scribble toolbox' + helpTable.append(newRow) + } + + mousedown () { + this.mouseDown = true + } + + mouseup () { + this.mouseDown = false + } + + getCanvasPaths () { + return this.currFabric.getObjects('path') + } + + addDrawing () { + const self = this + ;['click', 'touchend'].forEach((gesture) => { + this.drawBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + if (self.drawMode) { + self.stopDrawing() + } else { + self.startDrawing() + } + }) + }) + } + + setPresetColor (ev) { + let idx = Number(ev.key) + if (isNaN(idx) || typeof idx === 'undefined' || idx >= 10) return + idx = idx === 0 ? 10 : idx + const presetColor = this.opts.palette[idx - 1] + this.currColor = presetColor + this.currFabric.freeDrawingBrush.color = presetColor + this.setPenColorCSSVariables(presetColor) + this.colorPicker.value = presetColor + } + + startDrawing () { + if (this.noScribble()) return + + slideshow.pause() + this.toggleToolbox(true) + + this.drawMode = true + this.eraseMode = false + this.drawBtn.title = 'Stop Drawing (S)' + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.penSize + this.currFabric.freeDrawingBrush.color = this.currColor + this.currFabric.freeDrawingCursor = 'crosshair' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'draw') + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + document.addEventListener('keydown', this.setPresetColor) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + this.eraserCursor.classList.add('hidden') + this.drawBtn.classList.add('active') + this.eraseBtn.classList.remove('active') + } + + stopDrawing () { + slideshow.resume() + + this.drawMode = false + this.eraseMode = false + this.drawBtn.title = 'Start Drawing (S)' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'draw') + }) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + document.removeEventListener('keydown', this.setPresetColor) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + } + + addClearing () { + ;['click', 'touchend'].forEach((gesture) => { + this.clearBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.clearCurrentCanvas() + }) + }) + } + + clearCurrentCanvas () { + this.currFabric.forEachObject((obj) => { + this.currFabric.remove(obj) + }) + } + + addErasing () { + ;['click', 'touchend'].forEach((gesture) => { + this.eraseBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.eraseMode ? this.stopErasing() : this.startErasing() + }) + }) + } + + eraserColor () { + const slide = this.getVisibleSlide().querySelector('.remark-slide-content') + const slideBgColor = window + .getComputedStyle(slide) + .getPropertyValue('background-color') + + return this.pickContrastForegroundColor( + slideBgColor, + 'rgba(255, 255, 255, 0.33)', + 'rgba(0, 0, 0, 0.33)' + ) + } + + startErasing () { + slideshow.pause() + + this.eraseMode = true + this.drawMode = false + this.eraseBtn.title = 'Stop Erasing' + this.eraserCursor.style.backgroundColor = this.eraserColor() + this.colorPicker.classList.add('hidden') + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.addEventListener('mousemove', this.eraserDetectErase) + outerDiv.addEventListener('touchmove', this.eraserDetectErase) + + document.addEventListener('mousemove', this.eraserCursorMovement) + document.addEventListener('touchmove', this.eraserCursorMovement) + + const self = this + ;['mousemove', 'touchmove'].forEach(function (action) { + document.addEventListener(action, function (ev) { + self.eraserCursor.classList.remove('hidden') + }, { once: true }) + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.tolerance + this.currFabric.freeDrawingBrush.color = this.transparent + this.currFabric.freeDrawingCursor = 'none' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.add('active') + } + + stopErasing () { + this.drawMode = false + this.eraseMode = false + this.eraserCursor.classList.add('hidden') + this.eraseBtn.title = 'Erase Lines' + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.removeEventListener('mousemove', this.eraserDetectErase) + outerDiv.removeEventListener('touchmove', this.eraserDetectErase) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + + slideshow.resume() + } + + eraserDetectErase (ev) { + if (this.mouseDown & this.eraseMode) { + const xy = [ + this.currFabric.getPointer(ev).x, + this.currFabric.getPointer(ev).y + ] + const objs = this.getCanvasPaths() + const paths = objs.map((path) => { + return path.path + }) + + const shouldRemove = paths.map((path) => { + const toRemove = path.some((point) => { + const xcond = Math.abs(point[1] - xy[0]) < this.tolerance + const ycond = Math.abs(point[2] - xy[1]) < this.tolerance + const both = xcond & ycond + return both + }) + return toRemove + }) + + const pathCache = this.pathCache + const currFabric = this.currFabric + + objs.map(function (item, index) { + if (shouldRemove[index]) { + pathCache.push(item) + currFabric.remove(item) + } + }) + } + } + + removeTransparentEraserPaths () { + this.currFabric.forEachObject((obj) => { + if (obj.stroke === this.transparent) { + this.currFabric.remove(obj) + } + }) + } + + initEraserCursor () { + const slideArea = document.querySelector('.remark-slides-area') + this.eraserCursor = document.createElement('div') + this.eraserCursor.classList.add('xe-scribble__cursor__eraser', 'hidden') + this.eraserCursor.style.width = this.eraserSize + 'px' + this.eraserCursor.style.height = this.eraserSize + 'px' + + slideArea.appendChild(this.eraserCursor) + } + + eraserCursorMovement (ev) { + var pX + var pY + if (ev.type === 'mousemove') { + pX = ev.pageX + pY = ev.pageY + } else if (ev.type === 'touchmove') { + pX = ev.touches[0].pageX + pY = ev.touches[0].pageY + } + this.eraserCursor.style.top = pY - this.tolerance + 'px' + this.eraserCursor.style.left = pX - this.tolerance + 'px' + } + + undo (ev) { + if (ev.keyCode === 37) { + this.removeTransparentEraserPaths() + + if (this.currFabric._objects.length === 0) return + + const removedPath = this.currFabric._objects.pop() + this.pathCache.push(removedPath) + this.currFabric.renderAll() + } + } + + redo (ev) { + if (ev.keyCode === 39) { + this.removeTransparentEraserPaths() + + if (this.pathCache.length === 0) return + + const addedPath = this.pathCache.pop() + this.currFabric._objects.push(addedPath) + this.currFabric.renderAll() + } + } +} + +Scribble.prototype.svgs = { + // https://phosphoricons.com/ + draw: + '', + eraser: + '', + trash: + '' +} + +Scribble.prototype.defaultPresetColors = [ + '#e51c23', // red (1) + '#259b24', // green (2) + '#9c27b0', // purple (3) + '#5677fc', // blue (4) + '#ff9800', // orange (5) + '#00bcd4', // cyan (6) + '#ffc107', // yellow (7) + '#009688', // teal (8) + '#9e9e9e', // grey (9) + '#212121' // black (0) +] diff --git a/docs/slides/libs/xaringanExtra-search-0.0.1/search.css b/docs/slides/libs/xaringanExtra-search-0.0.1/search.css new file mode 100644 index 00000000..4a3fa77c --- /dev/null +++ b/docs/slides/libs/xaringanExtra-search-0.0.1/search.css @@ -0,0 +1,74 @@ +:root { + --search-icon-fill: rgba(128, 128, 128, 0.5); + --search-input-background: rgb(204, 204, 204); + --search-input-foreground: black; + --search-match-background: rgba(255, 196, 136, 0.75); + --search-input-border: 1px solid rgb(249, 38, 114); + --search-match-foreground: black; + --search-match-current-background: rgba(255, 136, 255, 0.75); + --search-match-current-foreground: black; +} + +div.search { + position: absolute; + top: 1em; +} + +div.search form { + display: none; + animation: fadeIn 250ms ease-out 1; +} + +div.search.search-input-visible form { + display: inline-block; +} + +div.search form input { + background-color: var(--search-input-background); + color: var(--search-input-foreground); + + border: var(--search-input-border); + padding: 3px; + width: 10em; +} + +div.search a { + padding: 0 0.5em; +} + +div.search #search-open { + cursor: pointer; + display: none; + animation: fadeIn 250ms ease-out 1; +} + +@keyframes fadeIn { + 0% { opacity: 0 } + 100% { opacity: 1 } +} + +div.search.search-icon-visible #search-open { + display: inline-block; +} + +div.search #search-open svg { + fill: var(--search-icon-fill); + vertical-align: bottom; + margin-bottom: -4px; +} + +div.search #search-next{ + display: none; +} + +span.match.current-match { + background-color: var(--search-match-current-background); + color: var(--search-match-current-foreground); +} + +span.match { + padding: 1px; + background-color: var(--search-match-background); + color: var(--search-match-foreground); + transition: background-color 200ms ease-in-out, color 200ms ease-in-out; +} diff --git a/docs/slides/libs/xaringanExtra-search-0.0.1/search.js b/docs/slides/libs/xaringanExtra-search-0.0.1/search.js new file mode 100644 index 00000000..554c4016 --- /dev/null +++ b/docs/slides/libs/xaringanExtra-search-0.0.1/search.js @@ -0,0 +1,227 @@ +class RemarkSearch { + constructor (options) { + this.matches = [] + this.currentMatch = -1 + + if (options == null) options = {} + if (options.position == null) options.position = 'bottom-left' + if (options.caseSensitive == null) options.caseSensitive = false + if (options.showIcon == null) options.showIcon = true + if (options.autoSearch == null) options.autoSearch = true + + this.options = options + + this.searchSvg = '' + + this.div = document.createElement('div') + this.div.classList.add('search') + this.div.style.zIndex = '9999' + if (this.options.position.includes('left')) { this.div.innerHTML = '' + this.searchSvg + '
    ' } else { this.div.innerHTML = '
    ' + this.searchSvg + '' } + + const area = document.querySelector('.remark-slides-area') + area.insertBefore(this.div, area.firstchild) + + this.setUpKeyListener() + this.setUpForm() + this.setUpIcons() + // wait for element to exist because position might depend on its height + setTimeout(() => this.setUpPosition(), 10) + } + + static create (options) { + return new RemarkSearch(options) + } + + setUpPosition () { + const self = this + window.addEventListener('resize', function () { + self.updatePosition() + }) + this.updatePosition() + } + + updatePosition () { + const scaler = document.querySelector('.remark-visible .remark-slide-scaler') + const vertical = (document.body.clientHeight - scaler.getBoundingClientRect().height) / 2 + 20 + const horizontal = (document.body.clientWidth - scaler.getBoundingClientRect().width) / 2 + 20 + + if (this.options.position.includes('top')) { this.div.style.top = vertical + 'px' } else { this.div.style.top = (document.body.clientHeight - vertical - this.div.getBoundingClientRect().height) + 'px' } + + if (this.options.position.includes('right')) { this.div.style.right = horizontal + 'px' } else { this.div.style.left = horizontal + 'px' } + } + + setUpIcons () { + const self = this + + this.div.querySelector('#search-open').addEventListener('click', function (event) { + self.toggleSearch() + }) + + if (this.options.showIcon) { this.div.classList.add('search-icon-visible') } + } + + setUpKeyListener () { + const self = this + document.addEventListener('keydown', function (event) { + if (event.ctrlKey && event.key == 'f') { + event.preventDefault() + self.openSearch() + return false + } + + if (event.key == 'F3' || (event.ctrlKey && event.key.toLowerCase() == 'g')) { + if (self.matches.length == 0) { + return self.doSearch(event) + } else { + if (event.shiftKey) { return self.showMatch(event, -1) } else { return self.showMatch(event, 1) } + } + } + }) + + const input = this.div.querySelector('form input') + input.addEventListener('keydown', function (event) { + if (!event.ctrlKey) { + event.stopPropagation() + } + + if (event.keyCode == 27) { + self.closeSearch() + } + }) + } + + setUpForm () { + var self = this + + const form = this.div.querySelector('form') + form.addEventListener('submit', function (event) { + if (self.matches.length == 0) { + return self.doSearch(event) + } else { + return self.showMatch(event, 1) + } + }) + this.setUpInput() + } + + setUpInput () { + const self = this + const input = this.div.querySelector('form input') + input.addEventListener('focus', function (event) { + slideshow.pause() + }) + input.addEventListener('blur', function (event) { + slideshow.resume() + }) + input.addEventListener('input', function (event) { + self.cleanSearch() + if (self.options.autoSearch) { self.doSearch() } + }) + } + + openSearch () { + const input = this.div.querySelector('form input') + + input.value = '' + this.cleanSearch() + this.div.classList.add('search-input-visible') + + input.focus() + + if (!this.options.showIcon) { + this.updatePosition() + this.div.classList.add('search-icon-visible') + } + } + + toggleSearch () { + if (this.div.matches('.search-input-visible')) { + this.closeSearch() + } else { + this.openSearch() + } + } + + closeSearch () { + const input = this.div.querySelector('form input') + + input.value = '' + input.blur() + this.div.classList.remove('search-input-visible') + + if (!this.options.showIcon) { + this.div.classList.remove('search-icon-visible') + } + + this.cleanSearch() + } + + cleanSearch () { + this.currentMatch = -1 + this.matches = [] + + var context = document.querySelectorAll('.remark-slide') + var instance = new Mark(context) + instance.unmark() + } + + doSearch (event) { + if (event != null) event.preventDefault() + + const self = this + + const term = this.div.querySelector('form input').value + + this.cleanSearch() + + var context = document.querySelectorAll('.remark-slide') + var instance = new Mark(context) + + instance.mark(term, { + element: 'span', + className: 'match', + caseSensitive: this.options.caseSensitive, + separateWordSearch: false, + each: function (match) { + self.matches.push(match) + }, + done: function () { + if (self.matches.length != 0) { self.showMatch(event, 1) } + } + }) + + return false + } + + showMatch (event, delta) { + if (event != null) event.preventDefault() + + if (this.matches.length == 0) { return this.doSearch(event) } + + const oldMatches = document.querySelectorAll('.current-match') + for (let i = 0; i < oldMatches.length; i++) { oldMatches[i].classList.remove('current-match') } + + this.currentMatch += delta + + let match = this.matches[this.currentMatch] + if (match == null) { + if (delta == -1) { this.currentMatch = this.matches.length } else { this.currentMatch = -1 } + return this.showMatch(event, delta) + } + match.classList.add('current-match') + + while (!match.classList.contains('remark-slide-container')) { + match = match.parentElement + }; + + let index = 1 + while (match.previousSibling != null) { + match = match.previousSibling + index++ + }; + + if (slideshow.getCurrentSlideIndex() + 1 != index) { slideshow.gotoSlide(index) } + + return false + } +} diff --git a/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css b/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css new file mode 100644 index 00000000..ba9f03ed --- /dev/null +++ b/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.css @@ -0,0 +1,306 @@ +/* Animations by animate.css */ + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +/* shareagain css rules */ +.shareagain-bar { + --shareagain-background: #00000088; + --shareagain-foreground: #FFFFFF; + --shareagain-twitter: inline-block; + --shareagain-facebook: inline-block; + --shareagain-linkedin: inline-block; + --shareagain-pinterest: inline-block; + --shareagain-pocket: inline-block; + --shareagain-reddit: inline-block; +} + +.shareagain-bar { + position: absolute; + bottom: 0; + left: 0; + right: 0; + height: 66px; + z-index: 1000; +} + +.shareagain-bar ul { + background: var(--shareagain-background); + color: var(--shareagain-foreground); + display: grid; + grid-template-columns: auto 1fr auto; + grid-gap: 5px; + justify-items: center; + align-items: center; + font-family: sans-serif; + list-style: none; + padding-left: 0; + margin: 0; + height: 100%; + width: 100%; +} + +.shareagain-buttons { + height: 100%; +} + +.shareagain-button { + height: 100%; + width: 66px; + border: none; + padding: 15px; + color: var(--shareagain-foreground); + background: transparent; +} + +.shareagain-button:hover { + background: rgba(0,0,0,.25); +} + +.shareagain-button.disabled { + color: #aaa; + cursor: not-allowed; +} + +.shareagain-button svg { + height: 100%; + width: 100%; +} + +.shareagain-button svg path { + stroke-width: 1px; +} + +.shareagain-title { + font-size: 24px; + text-align: center; + max-height: 100%; + overflow: hidden; +} + +.shareagain-bar .shareon { + font-size: 0 !important; + position: absolute; + top: -45px; + width: 100vw; + right: 0; + text-align: right; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); +} + +.shareagain-bar .shareon > .link { + background-color: #cacaca; +} +.shareagain-bar .shareon > .link::before { + background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 24 24' stroke='currentColor' class='clipboard-copy w-6 h-6'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3'%3E%3C/path%3E%3C/svg%3E"); +} + +.shareagain-bar .shareon > .link.success::before { + background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 24 24' stroke='currentColor' class='clipboard-check w-6 h-6'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4'%3E%3C/path%3E%3C/svg%3E"); +} + +.shareagain-bar .shareon .twitter { display: var(--shareagain-twitter); } +.shareagain-bar .shareon .facebook { display: var(--shareagain-facebook); } +.shareagain-bar .shareon .linkedin { display: var(--shareagain-linkedin); } +.shareagain-bar .shareon .pinterest { display: var(--shareagain-pinterest); } +.shareagain-bar .shareon .pocket { display: var(--shareagain-pocket); } +.shareagain-bar .shareon .reddit { display: var(--shareagain-reddit); } + +@media screen and (max-width: 600px) { + .shareagain-bar { + font-size: 10px; + height: 50px; + } + .shareagain-buttons .shareagain-button { + width: 50px; + } + .shareagain-title { + font-size: 16px; + } +} +@media screen and (max-width: 400px) { + .shareagain-bar { + height: 30px; + } + .shareagain-bar ul { + grid-template-columns: auto auto; + justify-content: space-between; + } + .shareagain-bar .shareagain-title { + display: none; + } + .shareagain-buttons .shareagain-button { + width: 30px; + padding: 5px; + } +} + +@media screen and (max-width: 400px) { + .shareagain-bar { + height: 30px; + } + .shareagain-bar ul { + grid-template-columns: auto auto; + justify-content: space-between; + } + .shareagain-bar .shareagain-title { + display: none; + } + .shareagain-buttons .shareagain-button { + width: 30px; + padding: 5px; + } + .shareagain-buttons .shareon > * { + width: 15px; + height: 20px; + } + .shareagain-buttons .shareon > ::before { + transform: scale(0.66); + top: 7px; + } + .shareagain-buttons .shareon .link { + width: 23px; + } + .shareagain-buttons .shareon > .link::before { + top: 5px; + left: 6px; + } +} diff --git a/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js b/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js new file mode 100644 index 00000000..a67178be --- /dev/null +++ b/docs/slides/libs/xaringanExtra-shareagain-0.2.6/shareagain.js @@ -0,0 +1,262 @@ +/* global slideshow,ClipboardJS */ +(function () { + function inIframe () { + try { + return window.self !== window.top && + !window.self.location.href.match('viewer_pane=1') // in RStudio + } catch (e) { + return true + } + } + + if (!inIframe()) return + + const ready = function (fn) { + /* MIT License Copyright (c) 2016 Nuclei */ + /* https://github.com/nuclei/readyjs */ + const completed = () => { + document.removeEventListener('DOMContentLoaded', completed) + window.removeEventListener('load', completed) + fn() + } + if (document.readyState !== 'loading') { + setTimeout(fn) + } else { + document.addEventListener('DOMContentLoaded', completed) + window.addEventListener('load', completed) + } + } + + ready(addShareAgainBar) + + function addShareAgainBar () { + const icons = { + left: '', + right: '', + fullScreen: '', + share: '' + } + + function getAuthor () { + let author = document.head.querySelector('meta[name="author"]') + + if (author) { + author = author.content + ' — ' + } else { + author = '' + } + return author + } + + function truncate (str, n, useWordBoundary = true) { + if (str.length <= n) { return str } + const subString = str.substr(0, n - 1) + return (useWordBoundary + ? subString.substr(0, subString.lastIndexOf(' ')) + : subString) + '…' + }; + + function getShortTitle () { + return truncate(window.document.title || '', 50) + } + + const navbar = document.createElement('nav') + navbar.classList.add('shareagain-bar') + + navbar.innerHTML += `
      +
    • + + +
      • +
    • ${getShortTitle()}
      • +
    • + + +
      + + + + + + + +
      +
      • +
    ` + + const slidesContainer = document.querySelector(':not(html).remark-container') + slidesContainer.appendChild(navbar) + + const btnSlidePrev = document.getElementById('shareagain-slide-prev') + const btnSlideNext = document.getElementById('shareagain-slide-next') + + function toggleSlideButtons (slideIndex) { + if (typeof slideIndex === 'undefined') { + slideIndex = slideshow.getCurrentSlideIndex() + } + + // Toggle next slide button + if (slideIndex + 1 === slideshow.getSlideCount()) { + btnSlideNext.classList.add('disabled') + btnSlideNext.setAttribute('disabled', true) + } else { + btnSlideNext.classList.remove('disabled') + btnSlideNext.removeAttribute('disabled') + } + + // Toggle prev slide button + if (slideIndex === 0) { + btnSlidePrev.classList.add('disabled') + btnSlidePrev.setAttribute('disabled', true) + } else { + btnSlidePrev.classList.remove('disabled') + btnSlidePrev.removeAttribute('disabled') + } + } + + setTimeout(toggleSlideButtons, 100) + + // button click events + btnSlidePrev.addEventListener('click', function (ev) { + slideshow.gotoPreviousSlide() + }) + + btnSlideNext.addEventListener('click', function (ev) { + slideshow.gotoNextSlide() + }) + + // button touch events (block remarkjs slide change on touch) + btnSlidePrev.addEventListener('touchend', function (ev) { + ev.preventDefault() + slideshow.gotoPreviousSlide() + ev.stopPropagation() + }) + + btnSlideNext.addEventListener('touchend', function (ev) { + ev.preventDefault() + slideshow.gotoNextSlide() + ev.stopPropagation() + }); + + // show/hide share buttons + ['click', 'touchend'].map(function (evType) { + document.getElementById('shareagain-share').addEventListener(evType, function (ev) { + toggleShareButtons() + ev.preventDefault() + ev.stopPropagation() + }) + }) + + navbar.addEventListener('touchend', function (ev) { + ev.preventDefault() + ev.stopPropagation() + }) + + // copy slides link to clipboard + const shareClip = new ClipboardJS('.shareon .link') + shareClip.on('success', function (e) { + const el = document.querySelector('.shareon .link') + el.classList.add('success') + setTimeout(() => el.classList.remove('success'), 2500) + }) + + slideshow.on('afterShowSlide', function (slide) { + toggleSlideButtons(slide.getSlideIndex()) + }) + + function toggleAnimated ({ selector, show, inClass, outClass }) { + const el = document.querySelector(selector) + const isShown = el.classList.contains(inClass) + if (typeof show === 'undefined') { + show = !isShown + } + if (show === isShown) { + return + } + if (show) { + el.classList.remove(outClass) + el.classList.add(inClass) + } else { + el.classList.remove(inClass) + el.classList.add(outClass) + } + } + + let isCurrentlyFullScreen = false + document.addEventListener('fullscreenchange', (event) => { + if (document.fullscreenElement) { + stopAutoHide(false) + isCurrentlyFullScreen = true + } else { + isCurrentlyFullScreen = false + startAutoHide() + } + }) + + function toggleNavBar (show) { + // do nothing if currently fullscreen + if (isCurrentlyFullScreen) return + + toggleAnimated({ selector: '.shareagain-bar ul', show, inClass: 'slideInUp', outClass: 'slideOutDown' }) + if (!show) toggleShareButtons(false) + } + + function toggleShareButtons (show) { + toggleAnimated({ selector: '.shareagain-bar .shareon', show, inClass: 'slideInRight', outClass: 'slideOutRight' }) + } + + // auto hide the share bar when focus is in the slides + let mouseMoveTimer = null + function hideNavDelayed (ev) { + if (mouseMoveTimer) { + clearTimeout(mouseMoveTimer) + } + toggleNavBar(true) + mouseMoveTimer = setTimeout(function () { toggleNavBar(false) }, 2000) + }; + + // toggle toggle full screen + ['click', 'touchend'].map(function (evType) { + document.getElementById('shareagain-fullscreen').addEventListener(evType, function (ev) { + slideshow.toggleFullscreen() + ev.stopPropagation() + }) + }) + + function startAutoHide () { + hideNavDelayed() + slidesContainer.addEventListener('mousemove', hideNavDelayed) + } + + function stopAutoHide (showAfter = false) { + slidesContainer.removeEventListener('mousemove', hideNavDelayed) + clearTimeout(mouseMoveTimer) + toggleNavBar(showAfter) + } + + // auto hide turns on when the mouse comes into the slides area + slidesContainer.addEventListener('mouseenter', function () { + startAutoHide() + }) + + // turn off auto hide when the mouse leaves the slides area + slidesContainer.addEventListener('mouseleave', function () { + stopAutoHide(true) + }); + + // turn off auto hide if the mouse or focus is in the share bar + ['focusin', 'mouseenter'].map(function (evType) { + navbar.addEventListener(evType, function () { + stopAutoHide(true) + }) + }); + + // and turn auto hide back on whne the mouse leaves the share bar + // (if mouse exits out of the slides area, the slidesContainer should fire later) + ['focusout', 'mouseleave'].map(function (evType) { + navbar.addEventListener(evType, function () { + startAutoHide() + }) + }) + } +})() diff --git a/docs/syllabus.html b/docs/syllabus.html new file mode 100644 index 00000000..9c5efcd1 --- /dev/null +++ b/docs/syllabus.html @@ -0,0 +1,814 @@ + + + + + + + + + + +Estadística Correlacional - Programa + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Programa

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    Profesor

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    Detales del curso

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      +
    •   Lunes y Martes
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    •   12 Agosto al 29 de Noviembre, 2023
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    •   10:15-11:45 (Lunes) y 8:30-10:00 (Martes)
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    •   Lunes - Aulario C6, Martes - Aulario C7-C8 & FACSO 345
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    •   Slack
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    Sobre el sentido general del curso

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    En este curso vamos a aprender tres cosas principales:

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      +

    • inferencia: los resultados que encontramos en nuestra muestra, ¿se encuentran también en la población de la cual proviene la muestra?

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    • medidas de asociación entre variables: tamaño y significación estadística

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    • reporte y reproducibilidad de los análisis estadísticos: nuestros análisis se reflejan en productos como tablas y gráficos. No basta con entenderlos e interpretarlos, sino también es fundamental una buena comunicación.

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    Propósito general del curso

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    Al finalizar el curso los estudiantes conocerán los fundamentos del análisis estadístico inferencial. Se espera que los estudiantes sean capaces de:

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    • elaborar de manera pertinente hipótesis estadísticas
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    • aplicar estadísticos de asociación bivariada, a partir de los cuáles puedan desarrollar análisis de problemas sociales
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    • corroborar el cumplimiento de las condiciones de aplicación de cada estadístico
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    • utilizar software de análisis estadístico
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    • contrastar hipótesis de investigación
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    • elaborar conclusiones integrando fundamentos teóricos con herramientas de análisis estadístico de resultados.
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    Complementariamente se espera que los estudiantes adquieran herramientas que les permitan comunicar resultados de investigación en contextos sociales, profesionales y académicos.

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    +

    Competencias

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    1a. Delimitar, conceptualizar y analizar diversos objetos de investigación social, con especial énfasis en aquellos relacionados con los procesos de transformación del país y Latinoamérica

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    1b. Manejar diversas estrategias metodológicas de las ciencias sociales

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    1c. Manejar un conjunto de herramientas para el procesamiento y análisis de información

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    1d. Transmitir los conocimientos derivados de la práctica investigativa, así como aquellos adquiridos durante el proceso formativo.

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    Subcompetencias

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    • 1.4 Contribuir a generar conocimiento sociológico en el marco de estudios y/o procesos de investigación donde se articulen creativamente las dimensiones teórica, metodológica y práctica.

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    • 1.5 Comunicar los saberes disciplinares de manera pertinente a las características de distintos contextos y audiencias, utilizando diversas estrategias y formatos.

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    Resultados del aprendizaje

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    1. Comprende, domina y es capaz de explicar los elementos conceptuales subyacentes a la determinación de la asociación poblacional entre dos variables a partir del análisis de una muestra, y es capaz de traducir hipótesis derivadas de la teoría sociológica en hipótesis estadísticas posibles de contrastar empíricamente con los datos.

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    2. Es capaz de seleccionar y usar herramientas estadísticas adecuadas para evaluar la asociación entre dos variables considerando las características de los datos y las condiciones de aplicación de cada técnica.

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    3. Logra interpretar desde un punto de vista estadístico y sociológico los resultados derivados de pruebas estadísticas para analizar la relación entre dos variables.

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    4. Es capaz de reportar y comunicar adecuada y eficientemente los resultados de los análisis estadísticos

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    Saberes / Contenidos

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    Unidad I: Inferencia

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    • Datos, variables y probabilidad

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    • Curva normal y error estándar

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    • Intervalos de confianza

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    • Test de hipótesis

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    • Hipótesis no direccionales y para proporciones

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    Unidad II: Asociación

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    • Asociación y covarianza

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    • Correlación de Pearson

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    • Correlación con variables ordinales

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    • Matrices y tamaños de efecto en correlación

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    • Asociación con variables categóricas

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    Unidad III: Reporte

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    • Responder problemas de investigación de lógica bivariada con datos reales
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    • Escritura de reportes de investigación
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    • Visualización de datos
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    • Presentación de resultados
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    Metodología

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    1. Sesiones de clases lectivas presenciales semanales, donde se presentarán los aspectos centrales de los contenidos correspondientes a la semana.

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    2. Prácticos: los temas del curso se acompañan de guías prácticas de aplicación de contenidos. Estas guías están diseñadas para ser desarrolladas de manera autónoma, y también habrá espacio de revisión y consultas en el espacio de clases.

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    3. Trabajos: se desarrollarán trabajos de investigación que permitirán a l_s participantes aplicar contenidos y recibir retroalimentación de su desempeño. Los trabajos serán asesorados por ayudantes que se asignarán a cada grupo.

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    El semestre comienza con clases lectivas, y posteriormente se integran elementos prácticos y de aplicación.

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    • Las clases en general se acompañan de documentos de presentación, que estarán disponibles antes de la sesión en la página de Clases, y están desarrollados con base en Rmarkdown/Xaringan. Estos documentos no son:

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      • “la clase”
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      • autoexplicativos (ni aspiran a serlo)
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      • “el ppt” (ni menos “la ppt”)
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    Evaluación

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    El curso tendrá tres instancias de evaluación:

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    • Evaluación 1: Inferencia (35% = 30% teórico + 5% práctico).
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    • Evaluación 2: Asociación (35% = 30% teórico + 5% práctico)
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    • Evaluación 3: Reporte de aplicación - trabajo grupal (30%= 20% reporte escrito + 10% poster)
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    La nota ponderada de las evaluaciones equivaldrá al 60% de la nota del curso y el examen final al 40% restante.

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    Las evaluaciones se distribuyen en el semestre de la siguiente manera:

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    +ATENCIÓN +
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    Las fechas de evaluación no se cambian por respeto a la planificación de los tiempos de tod_s quienes participan en el curso y el cumplimiento apropiado de los objetivos de aprendizaje.

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    Inasistencias y atraso en entregas

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    Los justificativos por ausencia o atraso se realizan en la secretaría de carrera. Lo que la carrera informe como justificado, es lo que se va a considerar en el curso. No enviar justificativos a equipo docente y a ayudantes directamente, no es necesario ni apropiado para l_s estudiantes tener que exponer situaciones personales.

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    En caso de faltar a alguna de las evaluaciones existirá una única fecha para evaluaciones recuperativas. Si en esa fecha no es posible asistir por motivos justificados, entonces pasará directo a examen.

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    En el caso de los trabajos, en caso de atraso se descontará 0.5 por día adicional. Si el trabajo no se entrega luego del tercer día de atraso será calificado con nota 1.0

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    Requisitos de aprobación

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    Requisitos de eximición a examen:

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    • contar con un promedio ponderado igual o superior a 5.5
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    • no tener nota bajo 4.0 en ninguna de las evaluaciones
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    Requisitos para presentación a examen:

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    • Podrán presentarse al examen de primera oportunidad los estudiantes que hayan obtenido una calificación final igual o superior a 3.5.

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    • El examen de segunda oportunidad será para aquellos estudiantes que presenten una nota igual o inferior a 3.5 o aquellos que en el examen de primera oportunidad no hubiesen logrado una nota igual o superior a 4.0.

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    Bibliografía Obligatoria

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    Capítulos correspondientes a cada sesión de los siguientes textos principales:

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    • Ritchey, F. (2008) Estadística para las ciencias sociales. McGraw-Hill: México.
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    • Moore (2010) Estadística aplicada básica. Barcelona: Antoni Bosch.
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    • Pardo, Ruiz y San Martín (2015). Análisis de Datos en Ciencias Sociales y de la Salud I. Editorial Síntesis: Madrid.
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    Bibliografía Complementaria

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    Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data (First edition). Sebastopol: O’Reilly.

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    Field, A., Milles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.

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    Salkind, N. J. (Ed.). (2010). Encyclopedia of research design (Vol. 1). Sage.

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    Levin, J. & Levin, W. (1997). Fundamentos de Estadística en la Investigación Social (Vol.2). Oxford University Press.

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    Sobre participación y comunicación

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    • Se espera asistencia y participación activa, tanto a las sesiones lectivas como a las prácticas. Se pasará lista en todas las sesiones. No habrá penalización por inasistencia, pero si llevaremos registro principalmente con objetivos de monitoreo y retroalimentación del curso.

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    + + + + + + \ No newline at end of file diff --git a/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-full-1.png b/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-full-1.png new file mode 100644 index 00000000..6f1f381e Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-full-1.png differ diff --git a/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-rct-1.png b/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-rct-1.png new file mode 100644 index 00000000..ca22fa98 Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/build-mosquito-dag-rct-1.png differ diff --git a/example/confounding-sensitivity_files/figure-html/math-dist-regular-1.png b/example/confounding-sensitivity_files/figure-html/math-dist-regular-1.png new file mode 100644 index 00000000..4422745c Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/math-dist-regular-1.png differ diff --git a/example/confounding-sensitivity_files/figure-html/math-dist-regular-lines-1.png b/example/confounding-sensitivity_files/figure-html/math-dist-regular-lines-1.png new file mode 100644 index 00000000..cab0fab5 Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/math-dist-regular-lines-1.png differ diff --git a/example/confounding-sensitivity_files/figure-html/net-plot-scales-1.png b/example/confounding-sensitivity_files/figure-html/net-plot-scales-1.png new file mode 100644 index 00000000..41f4ec9e Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/net-plot-scales-1.png differ diff --git a/example/confounding-sensitivity_files/figure-html/plot-math-diff-scaled-1.png b/example/confounding-sensitivity_files/figure-html/plot-math-diff-scaled-1.png new file mode 100644 index 00000000..1e38436f Binary files /dev/null and b/example/confounding-sensitivity_files/figure-html/plot-math-diff-scaled-1.png differ diff --git a/example/dags.qmd b/example/dags.qmd deleted file mode 100644 index 694f65a5..00000000 --- a/example/dags.qmd +++ /dev/null @@ -1,336 +0,0 @@ ---- -title: "DAGs" ---- - -## DAGs with dagitty.net - -The easiest way to quickly build DAGs and find adjustment sets and testable implications is to use [dagitty.net](http://dagitty.net/). - -This video shows how to use it: - -
    - -
    - - -## DAGs with R, ggdag, and dagitty - -You can use the [**ggdag**](https://ggdag.malco.io/) and [**dagitty**](http://dagitty.net/primer/) packages in R to build and work with DAGs too. I typically draw an initial DAG in my browser with dagitty.net and then I rewrite it in code in R so that it's more official and formal and reproducible. - -### Live coding example - -
    - -
    - -### Basic DAGs - -*(This is a heavily cleaned up and annotated version of the code from the video.)* - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -``` - -```{r libraries, warning=FALSE, message=FALSE} -# Load packages -library(tidyverse) # For dplyr, ggplot, and friends -library(ggdag) # For plotting DAGs -library(dagitty) # For working with DAG logic -``` - -The general process for making and working with DAGs in R is to create a DAG object with `dagify()` and then plot it with `ggdag()`. The documentation for **ggdag** is really good and helpful and full of examples. Check these pages for all sorts of additional details: - -- ["An introduction to ggdag"](https://ggdag.malco.io/articles/intro-to-ggdag.html) -- ["An introduction to directed acyclic graphs"](https://ggdag.malco.io/articles/intro-to-dags.html) -- [List of all ggdag-related functions](https://ggdag.malco.io/reference/index.html) - -The syntax for `dagify()` is similar to the formula syntax you've been using for building regression models with `lm()`. The formulas you use in `dagify()` indicate the relationships between nodes. - -For instance, in this DAG, `y` is caused by `x`, `a`, and `b` (`y ~ x + a + b`), and `x` is caused by `a` and `b` (`x ~ a + b`). This means that `a` and `b` are confounders. Use the `exposure` and `outcome` arguments to specify which nodes are the exposure (or treatment/intervention/program) and the outcome. - -```{r super-basic-dag} -# Create super basic DAG -simple_dag <- dagify( - y ~ x + a + b, - x ~ a + b, - exposure = "x", - outcome = "y" -) - -# Adding a theme_dag() layer to the plot makes it have a white background with no axis labels -ggdag(simple_dag) + - theme_dag() -``` - -If you want to plot which nodes are the exposure and outcome, use `ggdag_status()` instead: - -```{r simple-status} -ggdag_status(simple_dag) + - theme_dag() -``` - -### Layouts and manual coordinates - -Notice how the layout is different in both of those graphs. By default, `ggdag()` positions the nodes randomly every time using a network algorithm. You can change the algorithm by using the `layout` argument: `ggdag(simple_dag, layout = "nicely")`. You can see a full list of possible algorithms by running `?layout_tbl_graph_igraph` in the console. - -Alternatively, you can specify your own coordinates so that the nodes are positioned in the same place every time. Do this with the `coords` argument in `dagify()`. - -The best way to figure out what these numbers should be is to draw the DAG on paper or on a whiteboard and add a grid to it and then figure out the coordinates. For instance, in this DAG there are three rows and three columns: `x` and `y` go in the middle row (row 2) while `a` and `b` go in the middle column (column 2). It can also be helpful to not include `theme_dag()` at first so you can see the numbers for the underlying grid. Once you have everything positioned correctly, add `theme_dag()` to clean it up. - -```{r dag-with-coords} -simple_dag_with_coords <- dagify( - y ~ x + a + b, - x ~ a + b, - exposure = "x", - outcome = "y", - coords = list(x = c(x = 1, a = 2, b = 2, y = 3), - y = c(x = 2, a = 1, b = 3, y = 2)) -) - -ggdag_status(simple_dag_with_coords) + - theme_dag() -``` - -### Node names and labels - -The variable names you use do not have to be limited to just `x`, `y`, and other lowercase letters. You can any names you want, as long as there are no spaces. - -```{r dag-with-names} -dag_with_var_names <- dagify( - outcome ~ treatment + confounder1 + confounder2, - treatment ~ confounder1 + confounder2, - exposure = "treatment", - outcome = "outcome" -) - -ggdag_status(dag_with_var_names) + - theme_dag() -``` - -However, unless you use very short names, it is likely that the text will not fit inside the nodes. To get around this, you can add labels to the nodes using the `labels` argument in `dagify()`. Plot the labels by setting `use_labels = "label"` in `ggdag()`. You can turn off the text in the nodes with `text = FALSE` in `ggdag()`. - -```{r dag-with-labels} -dag_with_coords_and_labels <- dagify( - y ~ x + a + b, - x ~ a + b, - exposure = "x", - outcome = "y", - labels = c(y = "Outcome", x = "Treatment", - a = "Confounder 1", b = "Confounder 2"), - coords = list(x = c(x = 1, a = 2, b = 2, y = 3), - y = c(x = 2, a = 1, b = 3, y = 2)) -) - -ggdag_status(dag_with_coords_and_labels, - use_labels = "label", text = FALSE) + - guides(fill = "none", color = "none") + # Disable the legend - theme_dag() -``` - - -### Paths and adjustment sets - -R can also perform analysis on DAG objects. For example, we can find all the testable implications from the DAG using the `impliedConditionalIndependencies()` function from the **dagitty** package. For this simple DAG, there is only one: `a` should be independent of `b`. If we had a dataset with columns for each of these variables, we could check if this is true by running `cor(a, b)` to see if the two are related. - -```{r find-independencies} -impliedConditionalIndependencies(simple_dag) -``` - -We can also find all the paths between `x` and `y` using the `paths()` function from the **dagitty** package. We can see that there are three open paths between `x` and `y`: - -```{r find-paths} -paths(simple_dag) -``` - -The first open path is fine—we want a single *d*-connected relationship between treatment and outcome—but the other two indicate that there is confounding from `a` and `b`. We can see what each of these paths are with the `ggdag_paths()` function from the **ggdag** package: - -```{r plot-dag-paths, fig.width=8} -ggdag_paths(simple_dag_with_coords) + - theme_dag() -``` - -Instead of listing out all the possible paths and identifying backdoors by hand, you can use the `adjustmentSets()` function in the **dagitty** package to programmatically find all the nodes that need to be adjusted. Here we see that both `a` and `b` need to be controlled for to isolate the `x -> y` relationship. - -```{r find-adjustment-sets} -adjustmentSets(simple_dag) -``` - -You can also visualize the adjustment sets with `ggdag_adjustment_set()` in the **ggdag** package. Make sure you set `shadow = TRUE` to draw the arrows coming out of the adjusted nodes—by default, those are not included. - -```{r plot-adjustment-sets} -ggdag_adjustment_set(simple_dag_with_coords, shadow = TRUE) + - theme_dag() -``` - -R will find minimally sufficient adjustment sets, which includes the fewest number of adjustments needed to close all backdoors between `x` and `y`. In this example DAG there was only one set of variables (`a` and `b`), but in other situations there could be many possible sets, or none if the causal effect is not identifiable. - -### Plot DAG from dagitty.net with `ggdag()` - -If you use [dagitty.net](http://dagitty.net/) to draw a DAG, you'll notice that it generates some code for you in the model code section: - -```{r dagitty-model-code-example, echo=FALSE} -knitr::include_graphics("/files/img/example/dagitty-code.png", error = FALSE) -``` - -You can copy that `dag{ ... }` code and paste it into R to define a DAG object rather than use the `dagify()` function. To do this, use the `dagitty()` function from the **dagitty** library and include the whole generated model code in single quotes (`''`): - -```{r code-from-dagitty} -model_from_dagitty <- dagitty('dag { -bb="0,0,1,1" -"A confounder" [pos="0.809,0.306"] -"Another confounder" [pos="0.810,0.529"] -"Some outcome" [outcome,pos="0.918,0.432"] -"Some treatment" [exposure,pos="0.681,0.426"] -"A confounder" -> "Some outcome" -"A confounder" -> "Some treatment" -"Another confounder" -> "Some outcome" -"Another confounder" -> "Some treatment" -"Some treatment" -> "Some outcome" -} -') - -ggdag(model_from_dagitty) + - theme_dag() -``` - -By default it's going to look ugly because (1) the node labels don't fit, and (2) slight differences in the coordinates make it so the nodes don't perfectly align with each other. To fix coordinate alignment, you can modify the numbers in the generated DAG code. Here I rounded the numbers so that they're all 0.3, 0.8, etc. - -To fix the label issue, you can add the `use_labels` argument like normally. Only here, you can't specify `use_labels = "label"`. Instead, when you specify a DAG using dagitty's code like this, the column in the underlying dataset that contains the labels is named `name`, so you need to use `use_labels = "name"`. - -Other `ggdag()` variations like `ggdag_status()` will still work fine. - -```{r code-from-dagitty-better} -model_from_dagitty_rounded <- dagitty('dag { -bb="0,0,1,1" -"A confounder" [pos="0.8,0.3"] -"Another confounder" [pos="0.8,0.5"] -"Some outcome" [outcome,pos="0.9,0.4"] -"Some treatment" [exposure,pos="0.7,0.4"] -"A confounder" -> "Some outcome" -"A confounder" -> "Some treatment" -"Another confounder" -> "Some outcome" -"Another confounder" -> "Some treatment" -"Some treatment" -> "Some outcome" -} -') - -ggdag_status(model_from_dagitty_rounded, text = FALSE, use_labels = "name") + - guides(color = "none") + # Turn off legend - theme_dag() -``` - - -## Mosquito net example - -### Conditional independencies - -You can test if your stated relationships are correct by looking at the conditional independencies that are implied by the DAG. In dagitty.net, these appear in the sidebar in the "Testable implications" section. To show how this works, we'll use a simulated dataset that I generated about a fictional mosquito net program. Download the data here if you want to follow along: - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) - -Researchers are interested in whether using mosquito nets decreases an individual's risk of contracting malaria. They have collected data from 1,752 households in an unnamed country and have variables related to environmental factors, individual health, and household characteristics. Additionally, this country has a special government program that provides free mosquito nets to households that meet specific requirements: to qualify for the program, there must be more than 4 members of the household, and the household's monthly income must be lower than \$700 a month. Households are not automatically enrolled in the program, and many do not use it. The data is not experimental—researchers have no control over who uses mosquito nets, and individual households make their own choices over whether to apply for free nets or buy their own nets, as well as whether they use the nets if they have them. - -```{r build-mosquito-dag, fig.width=8} -mosquito_dag <- dagify( - malaria_risk ~ net + income + health + temperature + resistance, - net ~ income + health + temperature + eligible + household, - eligible ~ income + household, - health ~ income, - exposure = "net", - outcome = "malaria_risk", - coords = list(x = c(malaria_risk = 7, net = 3, income = 4, health = 5, - temperature = 6, resistance = 8.5, eligible = 2, household = 1), - y = c(malaria_risk = 2, net = 2, income = 3, health = 1, - temperature = 3, resistance = 2, eligible = 3, household = 2)), - labels = c(malaria_risk = "Risk of malaria", net = "Mosquito net", income = "Income", - health = "Health", temperature = "Nighttime temperatures", - resistance = "Insecticide resistance", - eligible = "Eligible for program", household = "Number in household") -) - -ggdag_status(mosquito_dag, use_labels = "label", text = FALSE) + - guides(fill = "none", color = "none") + # Disable the legend - theme_dag() -``` - -The causal graph above outlines the complete relationship between mosquito net use and risk of malaria. Each node in the DAG is a column in the dataset collected by the researchers, and includes the following: - -- Malaria risk (`malaria_risk`): The likelihood that someone in the household will be infected with malaria. Measured on a scale of 0–100, with higher values indicating higher risk. -- Mosquito net (`net` and `net_num`): A binary variable indicating if the household used mosquito nets. -- Eligible for program (`eligible`): A binary variable indicating if the household is eligible for the free net program. -- Income (`income`): The household's monthly income, in US dollars. -- Nighttime temperatures (`temperature`): The average temperature at night, in Celsius. -- Health (`health`): Self-reported healthiness in the household. Measured on a scale of 0–100, with higher values indicating better health. -- Number in household (`household`): Number of people living in the household. -- Insecticide resistance (`resistance`): Some strains of mosquitoes are more resistant to insecticide and thus pose a higher risk of infecting people with malaria. This is measured on a scale of 0–100, with higher values indicating higher resistance. - -According to the DAG, malaria risk is caused by income, temperatures, health, insecticide resistance, and mosquito net use. People who live in hotter regions, have lower incomes, have worse health, are surrounded by mosquitoes with high resistance to insecticide, and who do not use mosquito nets are at higher risk of contracting malaria than those who do not. Mosquito net use is caused by income, nighttime temperatures, health, the number of people living in the house, and eligibility for the free net program. People who live in areas that are cooler at night, have higher incomes, have better health, have more people in the home, and are eligible for free government nets are more likely to regularly use nets than those who do not. The DAG also shows that eligibility for the free net program is caused by income and household size, since households must meet specific thresholds to qualify. - -First, let's download the dataset, put in a folder named `data`, and load it: - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) - -```{r load-data-fake, eval=FALSE} -# Load the data. -# It'd be a good idea to click on the "mosquito_nets.csv" object in the -# Environment panel in RStudio to see what the data looks like after you load it -mosquito_nets <- read_csv("data/mosquito_nets.csv") -``` - -```{r load-data-real, include=FALSE} -mosquito_nets <- read_csv(here::here("files", "data", "generated_data", "mosquito_nets.csv")) -``` - -We can use this data to check if the relationships defined by our DAG reflect reality. Recall that *d*-separation implies that nodes are statistically independent of each other and do not transfer associational information. If you draw the mosquito net DAG with dagitty.net, or if you run `impliedConditionalIndependencies()` in R, you can see a list of all the implied conditional independencies. - -```{r} -impliedConditionalIndependencies(mosquito_dag) -``` - -The `_||_` symbol in the output here is the $\perp$ symbol, which means "independent of". The `|` in the output means "given". - -In the interest of space, we will not verify all these implied independencies, but we can test a few of them: - -- $\text{Health} \perp \text{Household members}$: (Read as *"Health is independent of household member count"*.) Health should be independent of the number of people in each household. In the data, the two variables should not be correlated. This is indeed the case: - -```{r indent=" "} -cor(mosquito_nets$health, mosquito_nets$household) -``` - -- $\text{Income} \perp \text{Insecticide resistance}$: (Read as *"Income is independent of insecticide resistance"*.) Income should be independent of insecticide resistance. This is again true: - -```{r indent=" "} -cor(mosquito_nets$income, mosquito_nets$resistance) -``` - -- $\text{Malaria risk} \perp \text{Household members}\ |\ \text{Health, Income, Bed net use, Temperature}$: (Read as *"Malaria risk is independent of house member count given health, income, bed net use, and temperature"*.) Malaria risk should be independent of the number of household members given similar levels of health, income, mosquito net use, and nighttime temperatures. We cannot use `cor()` to test this implication, since there are many variables involved, but we can use a regression model to check if the number of household members is significantly related to malaria risk. It is not significant ($t = -0.17$, $p = 0.863$), which means the two are independent, as expected. - -```{r indent=" "} -lm(malaria_risk ~ household + health + income + net + temperature, - data = mosquito_nets) %>% - broom::tidy() -``` - -We can check all the other conditional independencies to see if the DAG captures the reality of the full system of factors that influence mosquito net use and malaria risk. If there are substantial and significant correlations between nodes that should be independent, there is likely an issue with the specification of the DAG. Return to the theory of how the phenomena are generated and refine the DAG more. - - -### Mosquito net adjustment sets - -There is a direct path between mosquito net use and the risk of malaria, but the effect is not causally identified due to several other open paths. We can either list out all the paths and find which open paths have arrows pointing backwards into the mosquito net node (run `paths(mosquito_dag)` to see these results), or we can let R find the appropriate adjustment sets automatically: - -```{r} -adjustmentSets(mosquito_dag) -``` - -Based on the relationships between all the nodes in the DAG, adjusting for health, income, and temperature is enough to close all backdoors and identify the relationship between net use and malaria risk. Importantly, we do not need to worry about any of the nodes related to the government program for free nets, since those nodes are not *d*-connected to malaria risk. We only need to worry about confounding relationships. - -We can confirm this graphically with `ggdag_adjustment_set()`: - -```{r plot-mosquito-adjustment-fake} -ggdag_adjustment_set(mosquito_dag, shadow = TRUE, - use_labels = "label", text = FALSE) + - theme_dag() -``` diff --git a/example/diff-in-diff.qmd b/example/diff-in-diff.qmd deleted file mode 100644 index 666cd10d..00000000 --- a/example/diff-in-diff.qmd +++ /dev/null @@ -1,334 +0,0 @@ ---- -title: "Difference-in-differences" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -## Video walk-through - -If you want to follow along with this example, you can download the data below: - -- [{{< fa table >}} `injury.csv`](/files/data/package_data/injury.csv) - -```{r show-youtube-list, echo=FALSE, results="asis"} -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sHw3FevrihLn2Ly8pSCUUag" - -video_details <- tibble::tribble( - ~youtube_id, ~title, - "u5iEtpITL3s", "Getting started", - "15BprphMT1g", "Load and clean data", - "SkPLMBkB06o", "Exploratory data analysis", - "56KPL2_nSxQ", "Diff-in-diff manually", - "2JctZFGIYWw", "Diff-in-diff with regression" -) - -youtube_list(video_details, playlist_id, example = TRUE) -``` - - -## Program background - -In 1980, Kentucky raised its cap on weekly earnings that were covered by worker's compensation. We want to know if this new policy caused workers to spend more time unemployed. If benefits are not generous enough, then workers could sue companies for on-the-job injuries, while overly generous benefits could cause moral hazard issues and induce workers to be more reckless on the job, or to claim that off-the-job injuries were incurred while at work. - -The main outcome variable we care about is `log_duration` (in the original data as `ldurat`, but we rename it to be more human readable), or the logged duration (in weeks) of worker's compensation benefits. We log it because the variable is fairly skewed---most people are unemployed for a few weeks, with some unemployed for a long time. The policy was designed so that the cap increase did not affect low-earnings workers, but did affect high-earnings workers, so we use low-earnings workers as our control group and high-earnings workers as our treatment group. - -The data is included in the **wooldridge** R package as the `injury` dataset, and if you install the package, load it with `library(wooldridge)`, and run `?injury` in the console, you can see complete details about what's in it. To give you more practice with loading data from external files, I exported the injury data as a CSV file (using `write_csv(injury, "injury.csv")`) and included it here. - -These are the main columns we'll worry about for now: - -- `durat` (which we'll rename to `duration`): Duration of unemployment benefits, measured in weeks -- `ldurat` (which we'll rename to `log_duration`): Logged version of `durat` (`log(durat)`) -- `after_1980` (which we'll rename to `after_1980`): Indicator variable marking if the observation happened before (0) or after (1) the policy change in 1980. This is our **time** (or *before/after* variable) -- `highearn`: Indicator variable marking if the observation is a low (0) or high (1) earner. This is our **group** (or *treatment/control*) variable - - -## Load and clean data - -First, let's download the dataset (if you haven't already), put in a folder named `data`, and load it: - -- [{{< fa table >}} `injury.csv`](/files/data/package_data/injury.csv) - -```{r load-libraries, message=FALSE, warning=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(broom) # Convert models to data frames -library(scales) # Format numbers with functions like comma(), percent(), and dollar() -library(modelsummary) # Create side-by-side regression tables -``` - -```{r load-data-fake, eval=FALSE} -# Load the data. -# It'd be a good idea to click on the "injury_raw" object in the Environment -# panel in RStudio to see what the data looks like after you load it -injury_raw <- read_csv("data/injury.csv") -``` - -```{r load-data-real, include=FALSE} -injury_raw <- read_csv(here::here("files", "data", "package_data", "injury.csv")) -``` - -Next we'll clean up the `injury_raw` data a little to limit the data to just observations from Kentucky. we'll also rename some awkwardly-named columns: - -```{r clean-data} -injury <- injury_raw %>% - filter(ky == 1) %>% - # The syntax for rename is `new_name = original_name` - rename(duration = durat, log_duration = ldurat, - after_1980 = afchnge) -``` - - -## Exploratory data analysis - -First we can look at the distribution of unemployment benefits across high and low earners (our control and treatment groups): - -```{r duration-histogram} -ggplot(data = injury, aes(x = duration)) + - # binwidth = 8 makes each column represent 2 months (8 weeks) - # boundary = 0 make it so the 0-8 bar starts at 0 and isn't -4 to 4 - geom_histogram(binwidth = 8, color = "white", boundary = 0) + - facet_wrap(vars(highearn)) -``` - -The distribution is really skewed, with most people in both groups getting between 0-8 weeks of benefits (and a handful with more than 180 weeks! that's 3.5 years!) - -If we use the log of duration, we can get a less skewed distribution that works better with regression models: - -```{r log-duration-histogram} -ggplot(data = injury, mapping = aes(x = log_duration)) + - geom_histogram(binwidth = 0.5, color = "white", boundary = 0) + - # Uncomment this line if you want to exponentiate the logged values on the - # x-axis. Instead of showing 1, 2, 3, etc., it'll show e^1, e^2, e^3, etc. and - # make the labels more human readable - # scale_x_continuous(labels = trans_format("exp", format = round)) + - facet_wrap(vars(highearn)) -``` - -We should also check the distribution of unemployment before and after the policy change. Copy/paste one of the histogram chunks and change the faceting: - -```{r log-duration-before-after-histogram} -ggplot(data = injury, mapping = aes(x = log_duration)) + - geom_histogram(binwidth = 0.5, color = "white", boundary = 0) + - facet_wrap(vars(after_1980)) -``` - -The distributions look normal-ish, but we can't really easily see anything different between the before/after and treatment/control groups. We can plot the averages, though. There are a few different ways we can do this. - -You can use a `stat_summary()` layer to have ggplot calculate summary statistics like averages. Here we just calculate the mean: - -```{r plot-means-with-points} -ggplot(injury, aes(x = factor(highearn), y = log_duration)) + - geom_point(size = 0.5, alpha = 0.2) + - stat_summary(geom = "point", fun = "mean", size = 5, color = "red") + - facet_wrap(vars(after_1980)) -``` - -But we can also calculate the mean and 95% confidence interval: - -```{r plot-means-with-pointrange} -ggplot(injury, aes(x = factor(highearn), y = log_duration)) + - stat_summary(geom = "pointrange", size = 1, color = "red", - fun.data = "mean_se", fun.args = list(mult = 1.96)) + - facet_wrap(vars(after_1980)) -``` - -We can already start to see the classical diff-in-diff plot! It looks like high earners after 1980 had longer unemployment on average. - -We can also use `group_by()` and `summarize()` to figure out group means before sending the data to ggplot. I prefer doing this because it gives me more control over the data that I'm plotting: - -```{r plot-pointrange-manual} -plot_data <- injury %>% - # Make these categories instead of 0/1 numbers so they look nicer in the plot - mutate(highearn = factor(highearn, labels = c("Low earner", "High earner")), - after_1980 = factor(after_1980, labels = c("Before 1980", "After 1980"))) %>% - group_by(highearn, after_1980) %>% - summarize(mean_duration = mean(log_duration), - se_duration = sd(log_duration) / sqrt(n()), - upper = mean_duration + (1.96 * se_duration), - lower = mean_duration + (-1.96 * se_duration)) - -ggplot(plot_data, aes(x = highearn, y = mean_duration)) + - geom_pointrange(aes(ymin = lower, ymax = upper), - color = "darkgreen", size = 1) + - facet_wrap(vars(after_1980)) -``` - -Or, plotted in the more standard diff-in-diff format: - -```{r plot-pointrange-manual-no-facet} -ggplot(plot_data, aes(x = after_1980, y = mean_duration, color = highearn)) + - geom_pointrange(aes(ymin = lower, ymax = upper), size = 1) + - # The group = highearn here makes it so the lines go across categories - geom_line(aes(group = highearn)) -``` - - -## Diff-in-diff by hand - -We can find that exact difference by filling out the 2x2 before/after treatment/control table: - -| | Before 1980 | After 1980 | ∆ | -|--------------|:-----------:|:----------:|:-----------------:| -| Low earners | A | B | B − A | -| High earners | C | D | D − C | -| ∆ | C − A | D − B | (D − C) − (B − A) | - - -A combination of `group_by()` and `summarize()` makes this really easy: - -```{r calculate-diffs} -diffs <- injury %>% - group_by(after_1980, highearn) %>% - summarize(mean_duration = mean(log_duration), - # Calculate average with regular duration too, just for fun - mean_duration_for_humans = mean(duration)) -diffs -``` - -We can pull each of these numbers out of the table with some `filter()`s and `pull()`: - -```{r calculate-cells-manually} -before_treatment <- diffs %>% - filter(after_1980 == 0, highearn == 1) %>% - pull(mean_duration) - -before_control <- diffs %>% - filter(after_1980 == 0, highearn == 0) %>% - pull(mean_duration) - -after_treatment <- diffs %>% - filter(after_1980 == 1, highearn == 1) %>% - pull(mean_duration) - -after_control <- diffs %>% - filter(after_1980 == 1, highearn == 0) %>% - pull(mean_duration) - -diff_treatment_before_after <- after_treatment - before_treatment -diff_treatment_before_after - -diff_control_before_after <- after_control - before_control -diff_control_before_after - -diff_diff <- diff_treatment_before_after - diff_control_before_after -diff_diff -``` - -The diff-in-diff estimate is `r round(diff_diff, 3)`, which means that the program causes an increase in unemployment duration of 0.19 logged weeks. Logged weeks is nonsensical, though, so we have to interpret it with percentages ([here's a handy guide!](https://stats.stackexchange.com/a/18639/3025); this is Example B, where the dependent/outcome variable is logged). Receiving the treatment (i.e. being a high earner after the change in policy) causes a `r percent(diff_diff)` increase in the length of unemployment. - -```{r nice-diff-diff-plot} -ggplot(diffs, aes(x = as.factor(after_1980), - y = mean_duration, - color = as.factor(highearn))) + - geom_point() + - geom_line(aes(group = as.factor(highearn))) + - # If you use these lines you'll get some extra annotation lines and - # labels. The annotate() function lets you put stuff on a ggplot that's not - # part of a dataset. Normally with geom_line, geom_point, etc., you have to - # plot data that is in columns. With annotate() you can specify your own x and - # y values. - annotate(geom = "segment", x = "0", xend = "1", - y = before_treatment, yend = after_treatment - diff_diff, - linetype = "dashed", color = "grey50") + - annotate(geom = "segment", x = "1", xend = "1", - y = after_treatment, yend = after_treatment - diff_diff, - linetype = "dotted", color = "blue") + - annotate(geom = "label", x = "1", y = after_treatment - (diff_diff / 2), - label = "Program effect", size = 3) - -# Here, all the as.factor changes are directly in the ggplot code. I generally -# don't like doing this and prefer to do that separately so there's less typing -# in the ggplot code, like this: -# -# diffs <- diffs %>% -# mutate(after_1980 = as.factor(after_1980), highearn = as.factor(highearn)) -# -# ggplot(diffs, aes(x = after_1980, y = avg_durat, color = highearn)) + -# geom_line(aes(group = highearn)) -``` - - -## Diff-in-diff with regression - -Calculating all the pieces by hand like that is tedious, so we can use regression to do it instead! Remember that we need to include indicator variables for treatment/control and for before/after, as well as the interaction of the two. Here's what the math equation looks like: - -$$ -\begin{aligned} -\log(\text{duration}) = &\alpha + \beta \ \text{highearn} + \gamma \ \text{after\_1980} + \\ -& \delta \ (\text{highearn} \times \text{after\_1980}) + \epsilon -\end{aligned} -$$ - -The $\delta$ coefficient is the effect we care about in the end---that's the diff-in-diff estimator. - -```{r model-small} -model_small <- lm(log_duration ~ highearn + after_1980 + highearn * after_1980, - data = injury) -tidy(model_small) -``` - -The coefficient for `highearn:after_1980` is the same as what we found by hand, as it should be! It is statistically significant, so we can be fairly confident that it is not 0. - - -## Diff-in-diff with regression + controls - -One advantage to using regression for diff-in-diff is that we can include control variables to help isolate the effect. For example, perhaps claims made by construction or manufacturing workers tend to have longer duration than claims made workers in other industries. Or maybe those claiming back injuries tend to have longer claims than those claiming head injuries. We might also want to control for worker demographics such as gender, marital status, and age. - -Let's estimate an expanded version of the basic regression model with the following additional variables: - -- `male` -- `married` -- `age` -- `hosp` (1 = hospitalized) -- `indust` (1 = manuf, 2 = construc, 3 = other) -- `injtype` (1-8; categories for different types of injury) -- `lprewage` (log of wage prior to filing a claim) - -*Important*: `indust` and `injtype` are in the dataset as numbers (1-3 and 1-8), but they're actually categories. We have to tell R to treat them as categories (or factors), otherwise it'll assume that you can have an injury type of 3.46 or something impossible. - -```{r fix-injury-factors} -# Convert industry and injury type to categories/factors -injury_fixed <- injury %>% - mutate(indust = as.factor(indust), - injtype = as.factor(injtype)) -``` - -```{r model-big} -model_big <- lm(log_duration ~ highearn + after_1980 + highearn * after_1980 + - male + married + age + hosp + indust + injtype + lprewage, - data = injury_fixed) -tidy(model_big) - -# Extract just the diff-in-diff estimate -diff_diff_controls <- tidy(model_big) %>% - filter(term == "highearn:after_1980") %>% - pull(estimate) -``` - -After controlling for a host of demographic controls, the diff-in-diff estimate is smaller (`r round(diff_diff_controls, 3)`), indicating that the policy caused a `r percent(diff_diff_controls)` increase in the duration of weeks unemployed following a workplace injury. It is smaller because the other independent variables now explain some of the variation in `log_duration`. - - -## Comparison of results - -We can put the model coefficients side-by-side to compare the value for `highearn:after_1980` as we change the model. - -```{r all-models-together-fake, eval=FALSE} -modelsummary(list("Simple" = model_small, "Full" = model_big)) -``` - -```{r all-models-together-real, echo=FALSE, warning=FALSE} -gm <- modelsummary::gof_map %>% - mutate(omit = !(raw %in% c("nobs", "r.squared", "adj.r.squared"))) - -modelsummary(list("Simple" = model_small, "Full" = model_big), - gof_map = gm, stars = TRUE) %>% - kableExtra::row_spec(7, background = "#F6D645") %>% - kableExtra::row_spec(36, extra_css = "border-bottom: 1px solid") -``` diff --git a/example/iv.qmd b/example/iv.qmd deleted file mode 100644 index 890eef66..00000000 --- a/example/iv.qmd +++ /dev/null @@ -1,571 +0,0 @@ ---- -title: "Instrumental variables" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -## Video walk-through - -If you want to follow along with this example, you can download these three datasets: - -- [{{< fa table >}} `father_education.csv`](/files/data/generated_data/father_education.csv) -- [{{< fa table >}} `wage2.csv`](/files/data/package_data/wage2.csv) -- [{{< fa table >}} `card.csv`](/files/data/package_data/card.csv) - - -```{r show-youtube-list, echo=FALSE, results="asis"} -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sF97TfofFZ1O-bOQtB4ygZQ" - -video_details <- tibble::tribble( - ~youtube_id, ~title, - "h-rx-dXo74Y", "Getting started", - "wHTiAbGwKe4", "Checking instrument validity", - "tnerIh0uMxU", "Manual 2SLS", - "EI-knWTbH-s", "One-step 2SLS", - "W8Up5OOPtEY", "Checking instrument validity (real data)", - "6sp8sYrRv5c", "2SLS (real data)", - "uDr4nsWkG2c", "Validity + 2SLS (real data)" -) - -youtube_list(video_details, playlist_id, example = TRUE) -``` - -## Background - -For all these examples, we're interested in the perennial econometrics question of whether an extra year of education causes increased wages. Economists love this stuff. - -We'll explore the question with three different datasets: a fake one I made up and two real ones from published research. - -- [{{< fa table >}} `father_education.csv`](/files/data/generated_data/father_education.csv) -- [{{< fa table >}} `wage2.csv`](/files/data/package_data/wage2.csv) -- [{{< fa table >}} `card.csv`](/files/data/package_data/card.csv) - -Make sure you load all these libraries before getting started: - -```{r load-libraries, message=FALSE, warning=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(broom) # Convert models to data frames -library(modelsummary) # Create side-by-side regression tables -library(kableExtra) # Add fancier formatting to tables -library(estimatr) # Run 2SLS models in one step with iv_robust() -``` - - -## Education, wages, and father's education (fake data) - -First let's use some fake data to see if education causes additional wages. - -```{r load-fake-data-fake, eval=FALSE} -ed_fake <- read_csv("data/father_education.csv") -``` - -```{r load-fake-data-real, include=FALSE} -ed_fake <- read_csv(here::here("files", "data", "generated_data", "father_education.csv")) -``` - -The `father_education.csv` file contains four variables: - -| Variable name | Description | -| ------------- | ------------------------------------------------------------------------------------- | -| `wage` | Weekly wage | -| `educ` | Years of education | -| `ability` | Magical column that measures your ability to work and go to school (omitted variable) | -| `fathereduc` | Years of education for father | - -### Naive model - -If we could actually measure ability, we could estimate this model, which closes the confounding backdoor posed by ability and isolates just the effect of education on wages: - -```{r} -model_forbidden <- lm(wage ~ educ + ability, data = ed_fake) -tidy(model_forbidden) -``` - -However, in real life we don't have `ability`, so we're stuck with a naive model: - -```{r} -model_naive <- lm(wage ~ educ, data = ed_fake) -tidy(model_naive) -``` - -The naive model overestimates the effect of education on wages (12.2 vs. 9.24) because of omitted variable bias. Education suffers from endogeneity---there are things in the model (like ability, hidden in the error term) that are correlated with it. Any estimate we calculate will be wrong and biased because of selection effects or omitted variable bias (all different names for endogeneity). - -### Check instrument validity - -To fix the endogeneity problem, we can use an instrument to remove the endogeneity from education and instead use a special exogeneity-only version of education. Perhaps someone's father's education can be an instrument for education (it's not the greatest instrument, but we'll go with it). - -For an instrument to be valid, it must meet three criteria: - -1. **Relevance**: Instrument is correlated with policy variable -2. **Exclusion**: Instrument is correlated with outcome *only through* the policy variable -3. **Exogeneity**: Instrument isn't correlated with anything else in the model (i.e. omitted variables) - -**Relevance** - -We can first test relevance by making a scatterplot and running a model of `policy ~ instrument`: - -```{r message=FALSE} -ggplot(ed_fake, aes(x = fathereduc, y = educ)) + - geom_point() + - geom_smooth(method = "lm") - -check_relevance <- lm(educ ~ fathereduc, data = ed_fake) -tidy(check_relevance) -glance(check_relevance) -``` - -This looks pretty good! The F-statistic is definitely above 10 (it's 7,136!), and there's a significant relationship between the instrument and policy. I'd say that this is relevant. - -**Exclusion** - -To check for exclusion, we need to see if there's a relationship between father's education and wages that occurs *only* because of education. If we plot it, we'll see a relationship: - -```{r message=FALSE} -ggplot(ed_fake, aes(x = fathereduc, y = wage)) + - geom_point() + - geom_smooth(method = "lm") -``` - -That's to be expected, since in our model, father's education causes education which causes wages---they should be correlated. But we have to use a convincing story + theory to justify the idea that a father's education increases the hourly wage *only because it increases one's education*, and there's no real statistical test for that. Good luck. - -**Exogeneity** - -There's not really a test for exogeneity either, since there's no way to measure other endogenous variables in the model (that's the whole reason we're using IVs in the first place!). Because we have the magical `ability` column in this fake data, we can test it. Father's education shouldn't be related to ability: - -```{r message=FALSE} -ggplot(ed_fake, aes(x = ability, y = fathereduc)) + - geom_point() + - geom_smooth(method = "lm") -``` - -And it's not! We can safely say that it meets the exogeneity assumption. - -In real life, though there's no statistical test for exogeneity. We just have to tell a theory-based story that the number of years of education one's father has is not correlated with anything else in the model (including any omitted variables). Good luck with that---it's probably not a good instrument. This relates to Scott Cunningham's argument that instruments have to be weird. [According to Scott](https://twitter.com/causalinf/status/1194069373935337473): - -> The reason I think this is because an instrument doesn’t belong in the structural error term and the structural error term is all the intuitive things that determine your outcome. So it *must* be weird, otherwise it’s probably in the error term. - -Let's just pretend that father's education *is* a valid instrument and move on :) - -### 2SLS manually - -Now we can do two-stage least squares (2SLS) regression and use the instrument to filter out the endogenous part of education. The first stage predicts education based on the instrument (we already ran this model earlier when checking for relevance, but we'll do it again just for fun): - -```{r} -first_stage <- lm(educ ~ fathereduc, data = ed_fake) -``` - -Now we want to add a column of predicted education to our original dataset. The easiest way to do that is with the `augment_columns()` function from the **broom** library, which plugs values from a dataset into a model to generate predictions: - -```{r} -ed_fake_with_prediction <- augment_columns(first_stage, ed_fake) -head(ed_fake_with_prediction) -``` - -Note a couple of these new columns. `.fitted` is the fitted/predicted value of education, and it's the version of education with endogeneity arguably removed. `.resid` shows how far off the prediction is from `educ`. The other columns don't matter so much. - -Instead of dealing with weird names like `.fitted`, I like to rename the fitted variable to something more understandable after I use `augment_columns`: - -```{r} -ed_fake_with_prediction <- augment_columns(first_stage, ed_fake) %>% - rename(educ_hat = .fitted) - -head(ed_fake_with_prediction) -``` - -We can now use the new `educ_hat` variable in our second stage model: - -```{r} -second_stage <- lm(wage ~ educ_hat, data = ed_fake_with_prediction) -tidy(second_stage) -``` - -The estimate for `educ_hat` is arguably more accurate now because we've used the instrument to remove the endogenous part of education and should only have the exogenous part. - -### 2SLS in one step - -Doing all that two-stage work is neat and it helps with the intuition of instrumental variables, but it's tedious. More importantly, the standard errors for `educ_hat` are wrong and the $R^2$ and other diagnostics for the second stage model are wrong too. You can use fancy math to adjust these things in the second stage, but we're not going to do that. Instead, we'll use a function that does both stages of the 2SLS model at the same time! - -There are several functions from different R packages that let you do 2SLS, and they all work a little differently and have different benefits: - -- [`iv_robust()` from **estimatr**](https://declaredesign.org/r/estimatr/articles/getting-started.html#iv_robust): - - Syntax: `outcome ~ treatment | instrument` - - Benefits: Handles robust and clustered standard errors -- [`ivreg()` from **ivreg**](https://github.com/john-d-fox/ivreg/): - - Syntax: `outcome ~ treatment | instrument` - - Benefits: Includes a ton of fancy diagnostics -- [`ivreg()` from **AER**](https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Option_1:_AER::ivreg()): - - Syntax: `outcome ~ treatment | instrument` - - Benefits: Includes special tests for weak instruments (that are better than the standard "check if F > 10"), like Anderson-Rubin confidence intervals -- [`lfe()` from **felm**](https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Option_3:_felm::lfe()): - - Syntax: `outcome ~ treatment | fixed effects | instrument` - - Benefits: Handles fixed effects really quickly (kind of like `feols()` that you used in Problem Set 5) -- [`plm()` from **plm**](https://cran.r-project.org/web/packages/plm/vignettes/plmPackage.html#instrumental-variable-estimators): - - Syntax: `outcome ~ treatment | instrument` - - Benefits: Handles panel data (country/year, state/year, etc.) - -[This page here has more detailed examples of the main three](https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Instrumental_variables): `iv_robust()`, `ivreg()`, and `lfe()` - -I typically like using `iv_robust()`, so we'll do that here. Instead of running a first stage, generating predictions, and running a second stage, we can do it all at once like this: - -```{r} -model_2sls <- iv_robust(wage ~ educ | fathereduc, - data = ed_fake) -tidy(model_2sls) -``` - -The coefficient for `educ` here is the same as `educ_hat` from the manual 2SLS model, but here we found it in one line of code! Also, the model's standard errors and diagnostics are all correct now. - -### Compare results - -We can put all the models side-by-side to compare them: - -```{r warning=FALSE} -# gof_omit here will omit goodness-of-fit rows that match any of the text. This -# means 'contains "IC" OR contains "Low" OR contains "Adj" OR contains "p.value" -# OR contains "statistic" OR contains "se_type"'. Basically we're getting rid of -# all the extra diagnostic information at the bottom -modelsummary(list("Forbidden" = model_forbidden, "OLS" = model_naive, - "2SLS (by hand)" = second_stage, "2SLS (automatic)" = model_2sls), - gof_omit = "IC|Log|Adj|p\\.value|statistic|se_type", - stars = TRUE) %>% - # Add a background color to rows 3 and 7 - row_spec(c(3, 7), background = "#F5ABEA") -``` - -Note how the coefficients for `educ_hat` and `educ` in the 2SLS models are close to the coefficient for `educ` in the forbidden model that accounts for ability. That's the magic of instrumental variables! - - -## Education, wages, and parent's education (multiple instruments) (real data) - -This data comes from the `wage2` dataset in the **wooldridge** R package (and it's real!). The data was used in this paper: - -> M. Blackburn and D. Neumark (1992), "Unobserved Ability, Efficiency Wages, and Interindustry Wage Differentials," *Quarterly Journal of Economics* 107, 1421-1436. - -```{r eval=FALSE} -wage2 <- read_csv("data/wage2.csv") -``` - -```{r include=FALSE} -wage2 <- read_csv(here::here("files", "data", "package_data", "wage2.csv")) -``` - -This dataset includes a bunch of different variables. If you run `library(wooldridge)` and then run `?wage` you can see the documentation for the data. These are the variables we care about for this example: - -| Variable name | Description | -| ------------- | ------------------------------- | -| `wage` | Monthly wage (1980 dollars) | -| `educ` | Years of education | -| `feduc` | Years of education for father | -| `meduc` | Years of education for mother | - -To make life easier, we'll rename some of the columns and get rid of rows with missing data: - -```{r} -ed_real <- wage2 %>% - rename(education = educ, education_dad = feduc, education_mom = meduc) %>% - na.omit() # Get rid of rows with missing values -``` - -### Naive model - -We want to again estimate the effect of education on wages, but this time we'll use both one's father's education and one's mother's education as instruments. Here's the naive estimate of the relationship, which suffers from endogeneity: - -```{r} -model_naive <- lm(wage ~ education, data = ed_real) -tidy(model_naive) -``` - -This is wrong though! Education is endogenous to unmeasured things in the model (like ability, which lives in the error term). We can isolate the exogenous part of education with an instrument. - -### Check instrument validity - -Before doing any 2SLS models, we want to check the validity of the instruments. Remember, for an instrument to be valid, it should meet these criteria: - -1. **Relevance**: Instrument is correlated with policy variable -2. **Exclusion**: Instrument is correlated with outcome *only through* the policy variable -3. **Exogeneity**: Instrument isn't correlated with anything else in the model (i.e. omitted variables) - -**Relevance** - -We can check for relevance by looking at the relationship between the instruments and education: - -```{r message=FALSE} -# Combine father's and mother's education into one column so we can plot both at the same time -ed_real_long <- ed_real %>% - pivot_longer(cols = c(education_dad, education_mom), - names_to = "instrument", values_to = "instrument_value") - -ggplot(ed_real_long, aes(x = instrument_value, y = education)) + - # Make points semi-transparent because of overplotting - geom_point(alpha = 0.2) + - geom_smooth(method = "lm") + - facet_wrap(vars(instrument)) -``` - -```{r} -model_check_instruments <- lm(education ~ education_dad + education_mom, - data = ed_real) -tidy(model_check_instruments) -glance(model_check_instruments) -``` - -There's a clear relationship between both of the instruments and education, and the coefficients for each are significant. The F-statistic for the model is 83, which is higher than 10, which might be a good sign of a strong instrument. However, it's less than 104, which, [according to this paper](https://arxiv.org/abs/2010.05058), is a better threshold for F statistics. So maybe it's not so relevant in the end. Who knows. - -**Exclusion** - -We can check for exclusion in part by looking at the relationship between the instruments and the outcome, or wages. We should see some relationship: - -```{r message=FALSE} -ggplot(ed_real_long, aes(x = instrument_value, y = wage)) + - geom_point(alpha = 0.5) + - geom_smooth(method = "lm") + - facet_wrap(~ instrument) -``` - -And we do! Now we just have to make the case that the only reason there's a relationship is that parental education only influences wages through education. Good luck with that. - -**Exogeneity** - -The last step is to prove exogeneity---that parental education is not correlated with education or wages. Good luck with that too. - -### 2SLS manually - -Now that we've maybe found some okay-ish instruments perhaps, we can use them in a two-stage least squares model. I'll show you how to do it by hand, just to help with the intuition, but then we'll do it automatically with `iv_robust()`. - -Assuming that parental education is a good instrument, we can use it to remove the endogenous part of education using 2SLS. In the first stage, we predict education using our instruments: - -```{r} -first_stage <- lm(education ~ education_dad + education_mom, data = ed_real) -``` - -We can then extract the predicted education and add it to our main dataset, renaming the `.fitted` variable to something more useful along the way: - -```{r} -ed_real_with_predicted <- augment_columns(first_stage, ed_real) %>% - rename(education_hat = .fitted) -``` - -Finally, we can use predicted education to estimate the exogenous effect of education on wages: - -```{r} -second_stage <- lm(wage ~ education_hat, - data = ed_real_with_predicted) -tidy(second_stage) -``` - -The coefficient for `education_hat` here should arguably be our actual effect! - -### 2SLS in one step - -Again, in real life, you won't want to do all that. It's tedious and your standard errors are wrong. Here's how to do it all in one step: - -```{r} -model_2sls <- iv_robust(wage ~ education | education_dad + education_mom, - data = ed_real) -tidy(model_2sls) -``` - -The coefficient for `education` is the same that we found in the manual 2SLS process, but now the errors are correct. - -### Compare results - -Let's compare all the findings and interpret the results! - -```{r} -modelsummary(list("OLS" = model_naive, "2SLS (by hand)" = second_stage, - "2SLS (automatic)" = model_2sls), - gof_omit = "IC|Log|Adj|p\\.value|statistic|se_type", - stars = TRUE) %>% - # Add a background color to rows 3 and 5 - row_spec(c(3, 5), background = "#F5ABEA") -``` - -The 2SLS effect is roughly twice as large and is arguably more accurate, since it has removed the endogeneity from education. An extra year of school leads to an extra \$111.56 dollars a month in income (in 1980 dollars). - -### Check for weak instruments - -The F-statistic in the first stage was 83.3, which is bigger than 10, but not huge. Again, [this newer paper](https://arxiv.org/abs/2010.05058) argues that relying on 10 as a threshold isn't great. They provide a new, more powerful test called the tF procedure, but nobody's written an R function to do that yet, so we can't use it yet. - -We *can*, however, do a couple other tests for instrument strength. First, if you include the `diagnostics = TRUE` argument when running `iv_robust()`, you can get a few extra diagnostic statistics. (See [the "Details" section in the documentation for `iv_robust`](https://www.rdocumentation.org/packages/estimatr/versions/0.26.0/topics/iv_robust#l_details) for more details about what these are.) - -Let's re-run the 2SLS model with `iv_robust` with diagnostics on. To see diagnostic details, you can't use `tidy()` (since that just shows the coefficients), so you have to use `summary()`: - -```{r} -model_2sls <- iv_robust(wage ~ education | education_dad + education_mom, - data = ed_real, diagnostics = TRUE) -summary(model_2sls) -``` - -The main diagnostic we care about here is the first one: "Weak instruments". This is a slightly fancier version of just looking at the first-stage F statistic. The null hypothesis for this test is that the instruments we have specified are weak, so we'd like to reject that null hypothesis. Here, the p-value is tiny, so we can safely reject the null and say the instruments likely aren't weak. (In general, you want a statistically significant weak instruments test). - -Another approach for checking for weak instruments is to calculate something called the Anderson-Rubin confidence set, which is essentially a 95% confidence interval for your coefficient that shows the stability of the coefficient based on how weak or strong the instrument is. This test was invented in like 1949 and it's arguably more robust than checking F statistics, but for whatever reason, *nobody really teaches it or uses it!*. It's not in any of the textbooks for this class, and it's really kind of rare. Even if you google "anderson rubin test weak instruments", you'll only find a bunch of lecture notes from fancy econometrics classes (like [p. 10 here](https://economics.yale.edu/sites/default/files/files/Workshops-Seminars/Econometrics/andrews1-051012.pdf), or [p. 4 here](https://www.ssc.wisc.edu/~xshi/econ715/Lecture_11_WeakIV.pdf), or [p. 4 here](https://ocw.mit.edu/courses/economics/14-384-time-series-analysis-fall-2013/lecture-notes/MIT14_384F13_lec7and8.pdf)). - -Additionally, most of the automatic 2SLS R packages don't provide an easy way to do this test! The only one I've found is in the **AER** package. Basically, create a 2SLS model with AER's `ivreg()` and then feed that model to the `anderson.rubin.ci()` function from the **ivpack** package. This doesn't work with models you make with `iv_robust()` or any of the other packages that do 2SLS—only with AER's `ivreg()`. It's a hassle. - -Installing **ivpack** is a little tricky because the maintainers have abandoned it and didn't make necessary updates to keep it on CRAN, son it was removed in June 2022. That means you can't just run `install.packages("ivpack")`. Booo. - -Fortunately there's a way around this. Microsoft makes daily snapshots of CRAN and provides them to the public as [a service called MRAN](https://mran.microsoft.com/timemachine). You can use MRAN to install a version of package from a specific day. Since **ivpack** was removed in mid-June 2022, we can tell R to install the version that MRAN archived on June 1: - -```{r eval=FALSE} -install.packages("ivpack", - repos = "https://cran.microsoft.com/snapshot/2022-06-01/") -``` - -That should magically work. - -```{r warning=FALSE, message=FALSE} -library(AER) # For ivreg() -library(ivpack) # For IV diagnostics like Anderson-Rubin causal effects - -# You have to include x = TRUE so that this works with diagnostic functions -model <- ivreg(wage ~ education | education_dad + education_mom, - data = ed_real, x = TRUE) - -# AR 95% confidence interval -anderson.rubin.ci(model) -``` - -Based on this confidence interval, given the strength (or weakness) of the instruments, the IV estimate could be as low as 75.9 and as high as 152, which is a fairly big range around the \$112 effect we found. Neat. - -There's no magic threshold to look for in these confidence intervals—you're mostly concerned with how much potential variability there is. If you're fine with a causal effect that could be between 76 and 152, great. If you want that range to be narrower, find some better instruments. - - -## Education, wages, and distance to college (control variables) (real data) - -For this last example we'll estimate the effect of education on wages using a different instrument—geographic proximity to colleges. This data comes from David Card's 1995 study where he did the same thing, and it's available in the **wooldridge** library as `card`. You can find a description of all variables [here](http://fmwww.bc.edu/ec-p/data/wooldridge/card.des); we'll use these: - -| Variable name | Description | -| ------------- | ----------------------------------------------------- | -| `lwage` | Annual wage (log form) | -| `educ` | Years of education | -| `nearc4` | Living close to college (=1) or far from college (=0) | -| `smsa` | Living in metropolitan area (=1) or not (=0) | -| `exper` | Years of experience | -| `expersq` | Years of experience (squared term) | -| `black` | Black (=1), not black (=0) | -| `south` | Living in the south (=1) or not (=0) | - -```{r eval=FALSE} -card <- read_csv("data/card.csv") -``` - -```{r include=FALSE} -card <- read_csv(here::here("files", "data", "package_data", "card.csv")) -``` - -Once again, Card wants to estimate the effect of education on wage. But to remove the endogeneity that comes from ability, he uses a different instrumental variable: **proximity to college**. - -He also uses control variables to help explain additional variation in wages: `smsa66 + exper + expersq + black + south66`. - -**IMPORTANT NOTE**: When you include controls, [every control variable needs to go in *both stages*](https://stats.stackexchange.com/a/177752/3025). The only things from the first stage that don't carry over to the second stage are the instruments—notice how `nearc4` is only in the first stage, since it's the instrument, but it's not in the second stage. The other controls are all in both stages. - -He thus estimates a model where: - -**First stage:** - -$$ -\widehat{\text{educ}} = \beta_0 + \beta_1\text{nearc4} + \beta_{2-6}\text{Control variables} -$$ - -**Second stage:** - -$$ -\text{lwage} = \beta_0 + \beta_1 \widehat{\text{educ}} + \beta_{2-6}\text{Control variables} -$$ - -### Check instrument validity - -Card provides arguments to support each of three main characteristics of a good instrumental variable: - -1. **Relevancy**: People who live close to a 4-year college have easier access to education at a lower costs (no commuting costs and time nor accommodation costs), so they have greater incentives to pursue education. -2. **Exclusion**: Proximity to a college has no effect on your annual income, unless you decide to pursue further education because of the nearby college. -3. **Exogeneity**: Individual ability does not depend on proximity to a college. - -Let's see if these assumptions hold up: - -**Relevancy** - -There should be a strong relationship between the instrument (distance to college) and education: - -```{r} -first_stage <- lm(educ ~ nearc4 + smsa66 + exper + expersq + black + south66, - data = card) -tidy(first_stage) -glance(first_stage) -``` - -Based on this first stage model, `nearc4` has a significant relationship to `educ`, and the model's joint F statistic is 449, which is definitely bigger than both 10 and 104. Good. We'll call it relevant. - -**Exclusion** - -For distance to college to work as an instrument and meet the exclusion restriction, we have to prove that distance to college causes wages *only through* getting more education. Think about other possible pathways between living close to a college and increased wages—there could be other paths that don't go through education. Good luck. - -**Exogeneity** - -For distance to college to work as an exogenous instrument, we have to prove that none of the unobserved confounders between education and earnings are connected to distance. Also good luck. - -### 2SLS estimation - -Assuming distance to education is a valid instrument (sure), we can use it in a 2SLS model. Remember that control variables have to go in both stages, so specify them accordingly in the model formula: - -```{r} -model_2sls <- iv_robust(lwage ~ educ + smsa66 + exper + expersq + black + south66 | - nearc4 + smsa66 + exper + expersq + black + south66, - data = card, diagnostics = TRUE) -tidy(model_2sls) -``` - -Cool cool. Based on the coefficient for `educ`, a year of education *causes* a 15.7% increase in annual wages, on average. - -Is that an improvement over a naive model where we don't account for any of the endogeneity? - -```{r} -model_naive <- lm(lwage ~ educ + smsa66 + exper + expersq + black + south66, - data = card) -tidy(model_naive) -``` - -Yep! Without removing endogeneity from education, an additional year of education is only associated with a 7.6% increase in annual wages, on average. - -### Compare results - -For fun, we can look at the results side-by-side: - -```{r} -modelsummary(list("Naive OLS" = model_naive, "2SLS" = model_2sls), - gof_omit = "IC|Log|Adj|p\\.value|statistic|se_type", - stars = TRUE) %>% - # Add a background color to row 3 - row_spec(3, background = "#F5ABEA") -``` - -### Extra diagnostics - -Finally, we can check for weak instruments issues. The F statistic we found in the first stage was pretty big, so that's a good sign, but we can look at the first stage's weak instrument statistic, as well as the Anderson-Rubin confidence interval. - -Because we included `diagnostics = TRUE` in the model, we can just use `summary()` to check weak instruments diagnostics: - -```{r} -summary(model_2sls) -``` - -The p-value for the "Weak instruments" test is tiny, which means we can safely reject the null hypothesis that the near college instrument is weak. Neat. - -To calculate Anderson-Rubin confidence intervals, we need to rerun the model with the `ivreg()` function (ugh) and feed those results to `anderson.rubin.ci()`: - -```{r} -model_again <- ivreg(lwage ~ educ + smsa66 + exper + expersq + black + south66 | - nearc4 + smsa66 + exper + expersq + black + south66, - data = card, x = TRUE) -anderson.rubin.ci(model_again) -``` - -Phew. That's a pretty wide interval, ranging from 5.7% to 31.5%. It's still positive, but it could sometimes be fairly small. diff --git a/example/matching-ipw.qmd b/example/matching-ipw.qmd deleted file mode 100644 index 776e7310..00000000 --- a/example/matching-ipw.qmd +++ /dev/null @@ -1,770 +0,0 @@ ---- -title: "Matching and inverse probability weighting" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -## Video walk-through - -If you want to follow along with this example, you can download the data below: - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) - -```{r show-youtube-list, echo=FALSE, results="asis"} -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sGv7RPHEZy8CDSdCliQOW8K" - -video_details <- tibble::tribble( - ~youtube_id, ~title, - "OoYgOwxUQgI", "Drawing a DAG", - "_FNrfFe99R0", "Creating an RStudio project", - "7NW7GbO44BY", "Naive (and wrong!) estimate", - "uGwSRnET8Sg", "Matching", - "CKm1rZlAwuA", "Inverse probability weighting" -) - -youtube_list(video_details, playlist_id, example = TRUE) -``` - - -## Program background - -Let's revisit the mosquito net program we used in [the DAG example](/example/dags.qmd). Here, researchers are interested in whether using mosquito nets decreases an individual's risk of contracting malaria. They have collected data from 1,752 households in an unnamed country and have variables related to environmental factors, individual health, and household characteristics. The data is **not experimental**—researchers have no control over who uses mosquito nets, and individual households make their own choices over whether to apply for free nets or buy their own nets, as well as whether they use the nets if they have them. - -The CSV file contains the following columns: - -- Malaria risk (`malaria_risk`): The likelihood that someone in the household will be infected with malaria. Measured on a scale of 0–100, with higher values indicating higher risk. -- Mosquito net (`net` and `net_num`): A binary variable indicating if the household used mosquito nets. -- Eligible for program (`eligible`): A binary variable indicating if the household is eligible for the free net program. -- Income (`income`): The household's monthly income, in US dollars. -- Nighttime temperatures (`temperature`): The average temperature at night, in Celsius. -- Health (`health`): Self-reported healthiness in the household. Measured on a scale of 0–100, with higher values indicating better health. -- Number in household (`household`): Number of people living in the household. -- Insecticide resistance (`resistance`): Some strains of mosquitoes are more resistant to insecticide and thus pose a higher risk of infecting people with malaria. This is measured on a scale of 0–100, with higher values indicating higher resistance. - - -## Our goal - -**Our goal in this example is to estimate the *causal* effect of bed net usage on malaria risk using *only* observational data.** This was not an RCT, so it might seem a little sketchy to make claims of causality. But if we can draw a correct DAG and adjust for the correct nodes, we can isolate the net → malaria relationship and talk about causality. - -Because this is simulated data, we know the true causal effect of the net program because I built it into the data. **The true average treatment effect (ATE) is -10.** Using a mosquito net *causes* the risk of malaria to decrease by 10 points, on average. - -Let's see if we can find that 10 point effect! - - -## Load data and libraries - -First, let's download the dataset (if you haven't already), put in a folder named `data`, and load it: - -- [{{< fa table >}} `mosquito_nets.csv`](/files/data/generated_data/mosquito_nets.csv) - -```{r load-libraries, message=FALSE, warning=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(ggdag) # Make DAGs -library(dagitty) # Do DAG logic with R -library(broom) # Convert models to data frames -library(MatchIt) # Match things -library(modelsummary) # Make side-by-side regression tables - -set.seed(1234) # Make all random draws reproducible -``` - -```{r load-data-fake, eval=FALSE} -# Load the data. -# It'd be a good idea to click on the "nets" object in the Environment panel in -# RStudio to see what the data looks like after you load it -nets <- read_csv("data/mosquito_nets.csv") -``` - -```{r load-data-real, include=FALSE} -nets <- read_csv(here::here("files", "data", "generated_data", "mosquito_nets.csv")) -``` - - -## DAG and adjustment sets - -Before running any models, we need to find what we need to adjust for. Recall from [the DAG example](/example/dags.qmd) that we built this causal model to show the data generating process behind the relationship between mosquito net usage and malaria risk: - -```{r build-mosquito-dag, fig.width=8} -mosquito_dag <- dagify( - malaria_risk ~ net + income + health + temperature + resistance, - net ~ income + health + temperature + eligible + household, - eligible ~ income + household, - health ~ income, - exposure = "net", - outcome = "malaria_risk", - coords = list(x = c(malaria_risk = 7, net = 3, income = 4, health = 5, - temperature = 6, resistance = 8.5, eligible = 2, household = 1), - y = c(malaria_risk = 2, net = 2, income = 3, health = 1, - temperature = 3, resistance = 2, eligible = 3, household = 2)), - labels = c(malaria_risk = "Risk of malaria", net = "Mosquito net", income = "Income", - health = "Health", temperature = "Nighttime temperatures", - resistance = "Insecticide resistance", - eligible = "Eligible for program", household = "Number in household") -) - -ggdag_status(mosquito_dag, use_labels = "label", text = FALSE) + - guides(fill = "none", color = "none") + # Disable the legend - theme_dag() -``` - -Following the logic of *do*-calculus, we can find all the nodes that confound the relationship between net usage and malaria risk, since those nodes open up backdoor paths and distort the causal effect we care about. We can either do this graphically by looking for any node that points to both net and malaria risk, or we can use R: - -```{r show-adjustment-sets} -adjustmentSets(mosquito_dag) -``` - -Based on the relationships between all the nodes in the DAG, adjusting for health, income, and temperature is enough to close all backdoors and identify the relationship between net use and malaria risk. - - -## Naive correlation-isn't-causation estimate - -For fun, we can calculate the difference in average malaria risk for those who did/didn't use mosquito nets. This is most definitely *not* the actual causal effect—this is the "correlation is not causation" effect that doesn't account for any of the backdoors in the DAG. - -We can do this with a table (but then we have to do manual math to subtract the `FALSE` average from the `TRUE` average): - -```{r super-wrong-answer-table} -nets %>% - group_by(net) %>% - summarize(number = n(), - avg = mean(malaria_risk)) -``` - -Or we can do it with regression: - -```{r super-wrong-answer} -model_wrong <- lm(malaria_risk ~ net, data = nets) - -tidy(model_wrong) -``` - -According to this estimate, using a mosquito net is associated with a `r tidy(model_wrong) %>% filter(term == "netTRUE") %>% pull(estimate) %>% abs()` point decrease in malaria risk, on average. We can't legally talk about this as a causal effect though—there are confounding variables to deal with. - - -## Matching - -We can use matching techniques to pair up similar observations and make the unconfoundedness assumption—that if we see two observations that are pretty much identical, and one used a net and one didn't, the choice to use a net was random. - -Because we know from the DAG that income, nighttime temperatures, and health help cause both net use and malaria risk (and confound that relationship!), we'll try to find observations with similar values of income, temperatures, and health that both used and didn't use nets. - -We can use the `matchit()` function from the **MatchIt** R package to match points based on Mahalanobis distance. There are lots of other options available—see [the online documentation](http://gking.harvard.edu/matchit) for details. - -We can include the `replace = TRUE` option to make it so that points that have been matched already can be matched again (that is, we're not forcing a one-to-one matching; we have one-to-many matching instead). - -### Step 1: Preprocess - -```{r matching} -matched_data <- matchit(net ~ income + temperature + health, - data = nets, - method = "nearest", - distance = "mahalanobis", - replace = TRUE) -summary(matched_data) -``` - -Here we can see that all 681 of the net users were paired with similar-looking non-users (439 of them). 632 people weren't matched and will get discarded. If you're curious, you can see which treated rows got matched to which control rows by running `matched_data$match.matrix`. - -We can create a new data frame of those matches with `match.data()`: - -```{r matched-data} -matched_data_for_real <- match.data(matched_data) -``` - -### Step 2: Estimation - -Now that the data has been matched, it should work better for modeling. Also, because we used income, temperatures, and health in the matching process, we've adjusted for those DAG nodes and have closed those backdoors, so our model can be pretty simple here: - -```{r matching-model} -model_matched <- lm(malaria_risk ~ net, - data = matched_data_for_real) -tidy(model_matched) -``` - -The `r tidy(model_matched) %>% filter(term == "netTRUE") %>% pull(estimate) %>% abs()` point decrease here is better than the naive estimate, but it's not the true 10 point causal effect (that I built in to the data). Perhaps that's because the matches aren't great, or maybe we threw away too much data. There are a host of diagnostics you can look at to see how well things are matched (check [the documentation for **MatchIt**](http://gking.harvard.edu/matchit) for examples.) - -Actually, the most likely culprit for the incorrect estimate is that there's some imbalance in the data. Because we set `replace = TRUE`, we did _not_ do 1:1 matching—untreated observations were paired with more than one treated observation. As a result, the multiply-matched observations are getting overcounted and have too much importance in the model. Fortunately, `matchit()` provides us with a column called `weights` that allows us to scale down the overmatched observations when running the model. **Importantly,** these weights have nothing to do with causal inference or backdoors or inverse probability weighting—their only purpose is to help scale down the imbalance arising from overmatching. If you use `replace = FALSE` and enforce 1:1 matching, the whole `weights` column will just be 1. - -We can incorporate those weights into the model and get a more accurate estimate: - -```{r matching-model-weight} -model_matched_wts <- lm(malaria_risk ~ net, - data = matched_data_for_real, - weights = weights) -tidy(model_matched_wts) -``` - -After weighting to account for under- and over-matching, we find a `r tidy(model_matched_wts) %>% filter(term == "netTRUE") %>% pull(estimate)` point causal effect. That's much better than any of the other estimates we've tried so far! The reason it's accurate is because we've closed the confounding backdoors and isolated the arrow between net use and malaria risk. - - -## Inverse probability weighting - -One potential downside to matching is that you generally have to throw away a sizable chunk of your data—anything that's unmatched doesn't get included in the final matched data. - -An alternative approach to matching is to assign every observation some probability of receiving treatment, and then weight each observation by its inverse probability—observations that are predicted to get treatment and then don't, or observations that are predicted to not get treatment and then do will receive more weight than the observations that get/don't get treatment as predicted. - -Generating these inverse probability weights requires a two step process: (1) we first generate propensity scores, or the probability of receiving treatment, and then (2) we use a special formula to convert those propensity scores into weights. Once we have inverse probability weights weights, we can incorporate them into our regression model. - -### Oversimplified crash course in logistic regression - -There are many ways to generate propensity scores (like logistic regression, probit regression, and even machine learning techniques like random forests and neural networks), but logistic regression is probably the most common method. - -The complete technical details of logistic regression are beyond the scope of this class, but if you're curious you should check out [this highly accessible tutorial](https://uc-r.github.io/logistic_regression). - -All you really need to know is that the outcome variable in logistic regression models must be binary, and the explanatory variables you include in the model help explain the variation in the likelihood of your binary outcome. The Y (or outcome) in logistic regression is a logged ratio of probabilities, which forces the model's output to be in a 0-1 range: - -$$ -\log \frac{p_y}{p_{1-y}} = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \dots + \beta_n x_n + \epsilon -$$ - -Here's what it looks like visually. Because net usage is a binary outcome, there are lines of observations at 0 and 1 along the y axis. The blue curvy line here shows the output of a logistic regression model—people with low income have a low likelihood of using a net, while those with high income are far more likely to do so. - -I also included a red line showing the results from a regular old `lm()` OLS model. It follows the blue line fairly well for a while, but predicts negative probabilities if you use lower values of income, like less than 250. For strange historical and mathy reasons, many economists like using OLS on binary outcomes (they even have a fancy name for it: linear probability models (LPMs)), but I'm partial to logistic regression since it doesn't generate probabilities greater than 100% or less than 0%. (BUT DON'T EVER COMPLAIN ABOUT LPMs ONLINE. You'll start battles between economists and other social scientists. 🤣) - -```{r net-income-logit, warning=FALSE, message=FALSE} -ggplot(nets, aes(x = income, y = net_num)) + - geom_point(alpha = 0.1) + - geom_smooth(method = "lm", color = "red", size = 0.5) + - geom_smooth(method = "glm", method.args = list(family = binomial(link = "logit"))) + - labs(x = "Income", y = "Probability of using a net") -``` - -The coefficients from a logistic regression model are interpreted differently than you're used to (and their interpretations can be controversial!). Here's an example for the model in the graph above: - -```{r logit-output} -# Notice how we use glm() instead of lm(). The "g" stands for "generalized" -# linear model. We have to specify a family in any glm() model. You can -# technically run a regular OLS model (like you do with lm()) if you use -# glm(y ~ x1 + x2, family = gaussian(link = "identity")), but people rarely do that. -# -# To use logistic regression, you have to specify a binomial/logit family like so: -# family = binomial(link = "logit") -model_logit <- glm(net ~ income + temperature + health, - data = nets, - family = binomial(link = "logit")) - -tidy(model_logit) -``` - -The coefficients here aren't normal numbers—they're called "log odds" and represent the change in the logged odds as you move explanatory variables up. For instance, here the logged odds of using a net increase by 0.00688 for every one point increase in your health score. But what do logged odds even mean?! Nobody knows. - -You can make these coefficients slightly more interpretable by unlogging them and creating something called an "odds ratio." These coefficients were logged with a natural log, so you unlog them by raising $e$ to the power of the coefficient. The odds ratio for temperature is $e^{-0.0589}$, or `r exp(-0.0589)`. Odds ratios get interpreted a little differently than regular model coefficients. Odds ratios are all centered around 1—values above 1 mean that there's an increase in the likelihood of the outcome, while values below 1 mean that there's a decrease in the likelihood of the outcome. - -Our nighttime temperature odds ratio here is 0.94, which is 0.06 below 1, which means we can say that for every one point increase in nighttime temperatures, a person is 6% less likely to use a net. If the coefficient was something like 1.34, we could say that they'd be *34% more likely* to use a net; if it was something like 5.02 we could say that they'd be *5 times more* likely to use a net; if it was something like 0.1, we could say that they're *90% less likely* to use a net. - -You can make R exponentiate the coefficients automatically by including `exponentiate = TRUE` in `tidy()`: - -```{r logit-output-exp} -tidy(model_logit, exponentiate = TRUE) -``` - -**BUT AGAIN** this goes beyond the scope of this class! Just know that when you build a logistic regression model, you're using explanatory variables to predict the probability of an outcome. - -Just one last little explanation for why we have to use weird log odds things. When working with binary outcomes, we're dealing with probabilities, and we can create something called "odds" with probabilities. If there's a 70% chance of something happening, there's a 30% chance of it not happening. The ratio of those two probabilities is called "odds": $\frac{p}{1 - p} = \frac{0.7}{1 - 0.7} = \frac{0.7}{0.3} = 2.333$. Odds typically follow a curvy relationship—as you move up to higher levels of your explanatory variable, the odds get bigger faster. If you log these odds, though ($\log \frac{p}{1 - p}$), the relationship becomes linear, which means we can use regular old linear regression on probabilities. Magic! - -You can see the relationship between log odds and odds ratios in the first two panels here (this is fake data where X ranges between -5 and 5, and Y is either 0 or 1; you can see the data points in the final panel as dots): - -```{r odds-probs, echo=FALSE, fig.width=7.5, fig.height=4.75, fig.asp=1, out.width="80%"} -library(latex2exp) -library(patchwork) - -# Using TeX() wipes out theming for whatever reason, so this manually bolds stuff -bolded_tex <- function(str) parse(text = paste0("bold(", TeX(str), ")")) - -set.seed(1234) - -logit_df <- tibble(x = seq(-5, 5, length.out = 100)) %>% - mutate(p = 1 / (1 + exp(-x))) %>% - mutate(y = rbinom(n(), size = 1, prob = p)) - -example_logit <- glm(y ~ x, data = logit_df, family = binomial(link = "logit")) - -logit_df_odds <- augment_columns(example_logit, logit_df, - type.predict = c("link")) %>% - rename(log_odds = .fitted) %>% - mutate(odds_ratio = exp(log_odds)) - -logit_df_probs <- augment_columns(example_logit, logit_df, - type.predict = c("response")) %>% - rename(pred_prob = .fitted) - -plot_log_odds <- ggplot(logit_df_odds, aes(x = x, y = log_odds)) + - geom_path(color = "#771C6D", size = 2) + - labs(title = "Log odds (β)", - subtitle = "This is linear!", - x = NULL, - y = TeX("$log \\frac{p}{1 - p}$")) + - theme_minimal() + - theme(plot.title = element_text(face = "bold"), - axis.title.y = element_text(angle = 0, hjust = 0)) - -plot_odds <- ggplot(logit_df_odds, aes(x = x, y = odds_ratio)) + - geom_path(color = "#FB9E07", size = 2) + - labs(title = bolded_tex("Odds (e^β)"), - subtitle = "This is curvy, but it's a mathy transformation of a linear value", - x = NULL, - y = TeX("$\\frac{p}{1 - p}$")) + - theme_minimal() + - theme(plot.title = element_text(face = "bold"), - axis.title.y = element_text(angle = 0, hjust = 0)) - -plot_probs <- ggplot(logit_df_probs, aes(x = x, y = pred_prob)) + - geom_point(aes(y = y), alpha = 0.4, position = position_jitter(width = 0, height = 0.05)) + - geom_path(color = "#CF4446", size = 2) + - labs(title = "Predicted probabilities", - subtitle = 'Here you can\'t say "For every unit increase in X the predicted probability\nchanges by something", since the probability changes differently at every value of X', - x = "X (value of explanatory variable)", - y = TeX("\\hat{P(Y)} = \\frac{odds}{1 + odds}")) + - theme_minimal() + - theme(plot.title = element_text(face = "bold"), - axis.title.y = element_text(angle = 0, hjust = 0)) - -plot_log_odds / plot_odds / plot_probs -``` - -The coefficients from logistic regression are log odds because they come from model that creates that nice straight line in the first panel. Log odds are impossible to interpret, so we can unlog them ($e^\beta$) to turn them into odds ratios. - -The bottom panel shows predicted probabilities. You can do one more mathematical transformation with the odds ($\frac{p}{1 - p}$) to generate a probability instead of odds: $\frac{\text{odds}}{1 + \text{odds}}$. ***That*** is what a propensity score is. - -**BUT AGAIN I cannot stress enough how much you don't need to worry about the inner mechanics of logistic regression for this class!** If that went over your head, don't worry! All we're doing for IPW is using logistic regression to create propensity scores, and the code below shows how to do that. Behind the scenes you're moving from log odds (they're linear!) to odds (they're interpretable-ish) to probabilities (they're super interpretable!), but you don't need to worry about that. - -If you're confused, [watch this TikTok for consolation](https://twitter.com/ChelseaParlett/status/1304436259926896640). - - -### Step 1: Generate propensity scores - -PHEW. With that little tangent into logistic regression done, we can now build a model to generate propensity scores (or predicted probabilities). - -When we include variables in the model that generates propensity scores, we're making adjustments and closing backdoors in the DAG, just like we did with matching. But unlike matching, we're not throwing any data away! We're just making some observations more important and others less important. - -First we build a model that predicts net usage based on income, nighttime temperatures, and health (since those nodes are our confounders from the DAG): - -```{r make-net-logit-model} -model_net <- glm(net ~ income + temperature + health, - data = nets, - family = binomial(link = "logit")) - -# We could look at these results if we wanted, but we don't need to for this class -# tidy(model_net, exponentiate = TRUE) -``` - -We can then plug in the income, temperatures, and health for every row in our dataset and generate a predicted probability using this model: - -```{r make-p-scores} -# augment_columns() handles the plugging in of values. You need to feed it the -# name of the model and the name of the dataset you want to add the predictions -# to. The type.predict = "response" argument makes it so the predictions are in -# the 0-1 scale. If you don't include that, you'll get predictions in an -# uninterpretable log odds scale. -net_probabilities <- augment_columns(model_net, - nets, - type.predict = "response") %>% - # The predictions are in a column named ".fitted", so we rename it here - rename(propensity = .fitted) - -# Look at the first few rows of a few columns -net_probabilities %>% - select(id, net, income, temperature, health, propensity) %>% - head() -``` - -The propensity scores are in the `propensity` column. Some people, like person 3, are unlikely to use nets (only a 15.8% chance) given their levels of income, temperature, and health. Others like person 6 have a higher probability (42.9%) since their income and health are higher. Neat. - -Next we need to convert those propensity scores into inverse probability weights, which makes weird observations more important (i.e. people who had a high probability of using a net but didn't, and vice versa). To do this, we follow this equation: - -$$ -\frac{\text{Treatment}}{\text{Propensity}} + \frac{1 - \text{Treatment}}{1 - \text{Propensity}} -$$ - -This equation will create weights that provide the average treatment effect (ATE), but there are other versions that let you find the average treatment effect on the treated (ATT), average treatment effect on the controls (ATC), and a bunch of others. [You can find those equations here](https://livefreeordichotomize.com/2019/01/17/understanding-propensity-score-weighting/#how-do-we-incorporate-a-propensity-score-in-a-weight). - -We'll use `mutate()` to create a column for the inverse probability weight: - -```{r make-ipw} -net_ipw <- net_probabilities %>% - mutate(ipw = (net_num / propensity) + ((1 - net_num) / (1 - propensity))) - -# Look at the first few rows of a few columns -net_ipw %>% - select(id, net, income, temperature, health, propensity, ipw) %>% - head() -``` - -These first few rows have fairly low weights—those with low probabilities of using nets didn't, while those with high probabilities did. But look at person 4! They only had a 26% chance of using a net and they *did*! That's weird! They therefore have a higher inverse probability weight (3.81). - -### Step 2: Estimation - -Now that we've generated inverse probability weights based on our confounders, we can run a model to find the causal effect of mosquito net usage on malaria risk. Again, we don't need to include income, temperatures, or health in the model since we already used them when we created the propensity scores and weights: - -```{r ipw-model} -model_ipw <- lm(malaria_risk ~ net, - data = net_ipw, - weights = ipw) - -tidy(model_ipw) -``` - -Cool! After using the inverse probability weights, we find a `r tidy(model_ipw) %>% filter(term == "netTRUE") %>% pull(estimate)` point causal effect. That's a tiiiny bit off from the true value of 10, but not bad at all! - -It's important to check the values of your inverse probability weights. Sometimes they can get too big, like if someone had an income of 0 and the lowest possible health and lived in a snow field *and yet* still used a net. Having really really high IPW values can throw off estimation. To fix this, we can truncate weights at some lower level. There's no universal rule of thumb for a good maximum weight—I've often seen 10 used. In our mosquito net data, no IPWs are higher than 10 (the max is exactly 10 with person 877), so we don't need to worry about truncation. - -If you did want to truncate, you'd do something like this (here we're truncating at 8 instead of 10 so truncation actually does something): - -```{r ipw-truncated} -net_ipw <- net_ipw %>% - # If the IPW is larger than 8, make it 8, otherwise use the current IPW - mutate(ipw_truncated = ifelse(ipw > 8, 8, ipw)) - -model_ipw_truncated <- lm(malaria_risk ~ net, - data = net_ipw, - weights = ipw_truncated) - -tidy(model_ipw_truncated) -``` - -Now the causal effect is `r tidy(model_ipw_truncated) %>% filter(term == "netTRUE") %>% pull(estimate)`, which is slightly lower and probably less accurate since we don't really have any exceptional cases messing up our original IPW estimate. - - -## Results from all the models - -All done! We just used observational data to estimate causal effects. Causation without RCTs! Do you know how neat that is?! - -Let's compare all the ATEs that we just calculated: - -```{r all-models-together-fake, eval=FALSE} -modelsummary(list("Naive" = model_wrong, - "Matched" = model_matched, "Matched + weights" = model_matched_wts, - "IPW" = model_ipw, "IPW truncated at 8" = model_ipw_truncated)) -``` - -```{r all-models-together-real, echo=FALSE, warning=FALSE} -gm <- modelsummary::gof_map %>% - mutate(omit = !(raw %in% c("nobs", "r.squared", "adj.r.squared"))) - -modelsummary(list("Naive" = model_wrong, - "Matched" = model_matched, "Matched + weights" = model_matched_wts, - "IPW" = model_ipw, "IPW truncated at 8" = model_ipw_truncated), - gof_map = gm, stars = TRUE) %>% - kableExtra::row_spec(3, background = "#F6D645") %>% - kableExtra::row_spec(4, extra_css = "border-bottom: 1px solid") -``` - -Which one is right? In this case, because this is fake simulated data where I built in a 10 point effect, we can see which of these models gets the closest: here, the non-truncated IPW model wins. But that won't always be the case. Both matching and IPW work well for closing backdoors and adjusting for confounders. In real life, you won't know the true value, so try multiple ways. - - -## jklol we're not all done! Fixing IPW standard errors and confidence intervals - -```{r extract-ipw-results, include=FALSE} -ipw_results <- model_ipw %>% - tidy(conf.int = TRUE) %>% - mutate(term = janitor::make_clean_names(term)) %>% - mutate(conf = glue::glue("[{round(conf.low, 2)}, {round(conf.high, 2)}]")) %>% - split(~term) - -matching_results <- model_matched_wts %>% - tidy(conf.int = TRUE) %>% - mutate(term = janitor::make_clean_names(term)) %>% - mutate(conf = glue::glue("[{round(conf.low, 2)}, {round(conf.high, 2)}]")) %>% - split(~term) -``` - -So actually I lied. We're *not* all done yet. The IPW model that we ran gives us the correct point estimate (`r round(ipw_results$net_true$estimate, 2)`), but the standard error and confidence intervals are wrong. There's uncertainty inherent in the estimation of the propensity scores and inverse probability weights, and that uncertainty doesn't get passed on to the outcome model, thus resulting in underestimation of the standard error and overly narrow confidence intervals. - -We can actually see underestimation in the side-by-side table of results up above: the IPW model's standard error is `r round(ipw_results$net_true$std.error, 2)`, resulting in a confidence interval of `r ipw_results$net_true$conf`, while the matching + weights model has a similar point estimate (`r round(matching_results$net_true$estimate, 2)`) but a bigger standard error (`r round(matching_results$net_true$std.error, 2)`) and a wider confidence interval of `r matching_results$net_true$conf`. - -The (arguably) most accurate way to include the uncertainty of the treatment model in the outcome model is to rely on brute force simulation (just like we [did with Zilch!](/resource/zilch.qmd)) to estimate the causal effect for lots and lots of different models and then combine them into a single value. With our Zilch simulations, we rerolled our dice thousands of times. With this data, however, we can't go out and collect new samples of mosquito net use—we only have one set of data to work with. - -So instead of collecting new data, we cheat. - -We'll use a super-wild-that-this-even-works statistical procedure called [bootstrapping](https://en.wikipedia.org/wiki/Bootstrapping_(statistics)) to create random modified versions of our dataset. - -### Intuition behind bootstrapping - -To help with the concept of bootstrapping, imagine we have 10 rows of data that looks like this: - -```{r generate-boot-example, echo=FALSE, warning=FALSE, message=FALSE} -library(randomNames) -library(kableExtra) - -withr::with_seed(1234, { - example_data <- tibble(ID = 1:10, - Name = randomNames(n = 10, which.names = "first")) %>% - mutate(Cookies = rpois(n(), 3)) -}) - -example_data %>% - kbl() %>% - kable_styling(full_width = FALSE) -``` - -With bootstrapping, we randomly select 10 rows from this original dataset to create a new dataset, and we do this some large number of times (like 1,000). Importantly, we randomly select rows *with replacement*, so that each random bootstrapped dataset will have some repeated rows. See this, for instance, where Sabiyya appears three times in the first bootstrapped dataset, Mariah twice in the second, and Kadi three times in the thousandth. - -```{r show-bootstrap-example, echo=FALSE, warning=FALSE, message=FALSE} -set.seed(12345) -boot1 <- tibble(ID = sample(example_data$ID, size = 10, replace = TRUE)) %>% - left_join(example_data, by = "ID") %>% - arrange(ID) - -boot2 <- tibble(ID = sample(example_data$ID, size = 10, replace = TRUE)) %>% - left_join(example_data, by = "ID") %>% - arrange(ID) - -boot3 <- tibble(ID = sample(example_data$ID, size = 10, replace = TRUE)) %>% - left_join(example_data, by = "ID") %>% - arrange(ID) - -blank <- tibble(dots = rep("", 10)) - -columns <- c(rep(c("ID", "Name", "Cookies"), times = 3), - "…", - c("ID", "Name", "Cookies")) - -bind_cols(example_data, boot1, boot2, blank, boot3) %>% - kbl(col.names = columns) %>% - kable_styling() %>% - add_header_above(c("Original data" = 3, "Bootstrap sample #1" = 3, - "Bootstrap sample #2" = 3, " " = 1, "Bootstrap sample #1000" = 3)) %>% - column_spec(1:3, background = "#dedede") -``` - -We can then work with each of the bootstrapped datasets. If we wanted to find the standard error and confidence interval for the number of cookies eaten, we would calculate the average and standard error within each dataset, then combine all these averages into a single number or range. - -The `rsample` package in R makes this easy to do by automatically splitting the dataset into random subsets for us. We can then create a function that R will run on each of the random datasets. Finally, we can collapse all the results into a single value. Here's a quick example using the simulated cookie data from above. - -We'll use bootstrapping to find three specific numbers, or estimands: - -1. The average number of cookies eaten -2. The standard error of the number of cookies eaten -3. The confidence interval of the number of cookies eaten - -First we'll use `tribble()` to make up a little toy dataset: - -```{r make-cookie-data} -cookie_data <- tribble( - ~ID, ~Name, ~Cookies, - 1, "Mariah", 3, - 2, "Hibaq", 4, - 3, "Manaahil", 3, - 4, "Kadi", 2, - 5, "Ghaazi", 4, - 6, "Thanaa", 1, - 7, "Emilio", 2, - 8, "Jawhar", 4, - 9, "Iyaad", 3, - 10, "Sabiyya", 1 -) - -cookie_data -``` - - -Next we'll create a function that will calculate the stuff we're interested in. This function will run an intercept-only model for each of the datasets we feed it. It feels weird to use a regression model to just get an average, but at its core regression is really just fancy averages. By using `lm()` and `tidy()`, we can automatically find averages, standard errors, and confidence intervals without extra math. Just go with it. - -```{r cookie-stats-function} -find_stats <- function(splits) { - current_data <- analysis(splits) - - cookie_model <- lm(Cookies ~ 1, data = current_data) - - return(tidy(cookie_model, conf.int = TRUE)) -} -``` - -Now we can do some actual boostrapping. We'll use the `bootstraps()` function from the `rsample` library to divide our dataset into 500 random datasets - -```{r split-cookies} -library(rsample) - -# apparent = TRUE includes the actual dataset as the final 501st row. It's -# necessary for the fancy automatic confidence interval calculations that we'll -# do later -set.seed(1234) -cookie_samples <- bootstraps(cookie_data, times = 500, apparent = TRUE) -cookie_samples -``` - -That new `splits` column contains a bunch of information about which rows are included in the new random dataset. If you're curious about which rows are in which data, you can drill down into the `boot_split` object, but you don't need to. For instance, here are the IDs included in the 5th simulated dataset. Neat. - -```{r show-some-ids} -cookie_samples$splits[[5]]$in_id -``` - -Now that everything is split up and we have 500 datasets, we'll apply our `find_stats()` function to each of the datasets using the `map()` function from the `purrr` package: - -```{r find-cookie-stats, cache=TRUE} -cookie_bootstrap_stats <- cookie_samples %>% - mutate(stats = map(splits, find_stats)) -cookie_bootstrap_stats -``` - -This looks a little weird. We have a new column named `stats`, but it doesn't contain single numbers. Instead, each cell contains a whole dataset! Each cell holds the tidied results from the intercept-only regression model. We can look at the first nested dataset of results like this: - -```{r see-nested-cookie-df} -cookie_bootstrap_stats$stats[[1]] -``` - -That looks like a regular table of regression results, with columns for the coefficient name, the estimate, standard error, p-value, and other things. - -But all those numbers are nested inside datasets inside cells, which makes it really hard to work with. We can use the `unnest()` function to extract everything into regular columns: - -```{r see-unnested-cookie-df, cache=TRUE} -cookie_bootstrap_stats_unnested <- cookie_samples %>% - mutate(stats = map(splits, find_stats)) %>% - unnest(stats) -cookie_bootstrap_stats_unnested -``` - -That's much more manageable! Now we can start finding the three estimands we're interested in. - -**1\. The average number of cookies eaten** - -To find the average number of cookies eaten, based on our boostrapped samples, we can calculate the average of the `estimate` column. That's it. - -```{r boot-avg-cookies} -cookie_bootstrap_stats_unnested %>% - summarize(avg_cookies = mean(estimate)) -``` - -**2\. The standard error of the number of cookies eaten** - -Finding the standard error is a little trickier. It's tempting to just find the average of the `std.error` column like we did for the `estimate` column, but for mathy reasons this is wrong. Instead we need to use special equations developed by [Donald Rubin (1987)](https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316696), often nicknamed "Rubin's Rules", that aggregate multiple standard errors into a single value in a way that adjusts for differences in those values. You can see [simplified definitions of all of Rubin's Rules here](https://bookdown.org/mwheymans/bookmi/rubins-rules.html). - -We didn't need to do anything fancy for the average number of cookies eaten because Rubin's Rules say that you can just take the average of an estimate to collapse (or pool) the results to a single number. Pooling standard errors requires a special formula that involves both the standard errors and the estimated averages: - -$$ -\sqrt{\operatorname{Average}(\text{standard errors}^2) + \operatorname{Variance}(\text{estimates})} -$$ - -Or in code: - -```{r rubin-se-example, eval=FALSE} -sqrt(mean(errors^2) + var(estimates)) -``` - -Let's do that with our cookie bootstraps: - -```{r boot-se-cookies} -cookie_bootstrap_stats_unnested %>% - summarize(avg_cookies = mean(estimate), - avg_se = sqrt(mean(std.error^2) + var(estimate))) -``` - -**3\. The confidence interval of the number of cookies eaten** - -Since confidence intervals are based on standard errors, we also can't just take the average of the `conf.low` and `conf.high` columns in each of the bootstrapped results. We have to follow one of the special Rubin's Rules to collapse the confidence intervals into single values. We could do this by hand by multiplying the standard error we found above by 1.96 and −1.96 and then add those to the average, but that's a lot of work. Instead, we can use the `int_t()` function from `rsample` to do this automatically. - -The `.lower` and `.upper` columns here show the confidence interval, while the `.estimate` column shows the average number of cookies eaten. - -```{r boot-conf-cookies} -# (Note that we have to use this function on the dataset of nested results, not -# the one where we unnested everything.) -cookie_bootstrap_stats %>% - int_t(stats) -``` - -::: {.callout-tip} -#### Distributions and percentiles - -`int_t()` technically works by using the critical values of the *t*-distribution at 2.5% and 97.5% (thus making a 95% confidence interval). If you want to be fancy and not assume that the distribution of the estimate follows a *t* distribution, you can use `int_pctl()` instead, which just finds the observed values at the 2.5% and 97.% percentiles without making any distributional assumptions. -::: - -### Bootstrapping with inverse probability weighting - -Phew. Now that we get the rough intuition behind bootstrapping (create a bunch of random copies of the original data, calculate stuff on each copy, and collapse those results into a single number), we can go through the same process with inverse probability weighting to get standard errors and confidence intervals that incorporate the uncertainty of the propensity score model and are thus more accurate. - -We need to create a little function that will run the propensity score model, generate inverse probability weights, and run the outcome model for each of our random datasets. These are all the steps we ran earlier in the example, just in one function, running on a dataset named `current_data`: - -```{r one-ipw-function} -fit_one_ipw <- function(split) { - # Work with just a sampled subset of the full data - current_data <- analysis(split) - - # Fit propensity score model - model_net <- glm(net ~ income + temperature + health, - data = current_data, - family = binomial(link = "logit")) - - # Calculate inverse probability weights - net_ipw <- augment_columns(model_net, - current_data, - type.predict = "response") %>% - mutate(ipw = (net_num / .fitted) + ((1 - net_num) / (1 - .fitted))) - - # Fit outcome model with IPWs - model_outcome <- lm(malaria_risk ~ net, - data = net_ipw, - weights = ipw) - - # Return a tidied version of the model results - return(tidy(model_outcome)) -} -``` - -With that function, we can take our `nets` data and make 1000 random copies of it. We'll then apply our neat `fit_one_ipw()` function to each of the datasets - -```{r ipw-boot, cache=TRUE} -ipw_bootstrap_stats <- bootstraps(nets, 1000, apparent = TRUE) %>% - mutate(results = map(splits, fit_one_ipw)) -``` - -If we look at the results, we'll see the version with all of the regression output nested inside little datasets inside cells: - -```{r show-ipw-boot-nested, cache=TRUE, message=FALSE} -ipw_bootstrap_stats -``` - -If we unnest that column, we can see the actual results. Notice how there are 2,002 rows here instead of 1,001—each dataset has two values in it: the intercept and the coefficient for `netTRUE`. - -```{r show-ipw-boot-unnested, cache=TRUE, message=FALSE} -ipw_bootstrap_stats %>% - unnest(results) -``` - -Since we're interested in the effect of net usage, we'll filter the data so we only look at that coefficient: - -```{r show-ipw-boot-nested-net-only, cache=TRUE, message=FALSE} -ipw_bootstrap_net <- ipw_bootstrap_stats %>% - unnest(results) %>% - filter(term == "netTRUE") - -ipw_bootstrap_net -``` - -Now we can use Rubin's Rules to collapse all these estimates into a single average and a single standard error: - -```{r ipw-net-mean-se} -ipw_bootstrap_net %>% - summarize(avg_net = mean(estimate), - avg_se = sqrt(mean(std.error^2) + var(estimate))) -``` - -```{r extract-bootstrap-stats, include=FALSE} -boot_stats <- ipw_bootstrap_net %>% - summarize(avg_net = mean(estimate), - avg_se = sqrt(mean(std.error^2) + var(estimate))) -``` - -The average net effect (or point estimate) of `r boot_stats$avg_net` is the same as what we found with the regular `lm()` model from before, but the standard error is now bigger (`r round(boot_stats$avg_se, 2)`) and more like the standard error we got with matching + weights (`r round(matching_results$net_true$std.error, 2)`). - -Finally we can find the confidence interval for the estimate with `int_t()`: - -```{r ipw-net-conf} -ipw_bootstrap_stats %>% - int_t(results) %>% - filter(term == "netTRUE") -``` - -```{r extract-bootstrap-conf, include=FALSE} -boot_conf <- ipw_bootstrap_stats %>% - int_t(results) %>% - filter(term == "netTRUE") %>% - mutate(conf = glue::glue("[{round(.lower, 2)}, {round(.upper, 2)}]")) -``` - -*That's* the correct result. Using inverse probability weighting, using a mosquito net causes a `r boot_stats$avg_net` point reduction in malaria risk scores, with a standard error of `r round(boot_stats$avg_se, 2)` and a 95% confidence interval of `r boot_conf$conf`. diff --git a/example/po-ate-cate.qmd b/example/po-ate-cate.qmd deleted file mode 100644 index b7f27cfe..00000000 --- a/example/po-ate-cate.qmd +++ /dev/null @@ -1,182 +0,0 @@ ---- -title: "Potential outcomes, ATEs, and CATEs" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -```{r libraries, warning=FALSE, message=FALSE} -library(tidyverse) # ggplot, dplyr, and friends -library(broom) # Convert models to data frames -library(scales) # This makes it easy to format numbers with dollar(), comma(), etc. -library(ggdag) # Draw causal diagrams with R -library(modelsummary) # Fancy regression tables -``` - -## Theory - -According to the theory explained in chapter 2 of *Mastering 'Metrics*, attending a private university should be causally linked to earnings and income---that is, going to a private school should make you earn more money. The type of education you receive, however, is not the only factor that influences earnings. People self-select into different types of universities and choose where to apply and which offers to accept. They also choose to not apply to some schools and are also rejected from other schools. Unmeasured characteristics help determine both acceptance to schools and earnings. - -We can draw a simplified version of this causal story with a directed acyclic graph (DAG) or causal model: - -```{r earnings-dag} -dag <- dagify(Y ~ P + G, - P ~ G, - exposure = "P", - outcome = "Y", - labels = c(Y = "Earnings", P = "Private university", - G = "Student characteristics (group)"), - coords = list(x = c(Y = 3, P = 1, G = 2), - y = c(Y = 1, P = 1, G = 2))) - -ggdag_status(dag, use_labels = "label") + - guides(color = "none") + # Remove legend - theme_dag() -``` - -## Effect of private school on earnings, no controls - -Because we don't have a time machine, we can't look at individual-level counterfactuals---we can't send Person 1 to a private school, watch them for 40 years after, and then go back and send Person 1 to a public school and watch them for 40 years. To get around this, we can instead calculated the *average* treatment effect, or ATE, and find the average of all individual-level causal effects. We can use the information from our theory's DAG to calculate a (hopefully!) accurate ATE. - -First we load the data from this CSV file (typed from the table in *Mastering 'Metrics*): - -- [{{< fa table >}} `public_private_earnings.csv`](/files/data/external_data/public_private_earnings.csv) - -```{r load-data-fake, eval=FALSE} -# The data doesn't come with an indicator variable marking if students went to a -# private school, so we create one here. If the string "ivy" is found in the -# enrolled column, mark it as true, otherwise mark it as false. -# -# We also create a variable that indicates if someone is in group A or not that -# we'll use in the regression models. We could technically just include the -# group variable in the model, where it would be treated as a dummy variable, -# but the reference category would be A, not B, so this is a little trick to -# force it to show results for group A. -schools <- read_csv("data/public_private_earnings.csv") %>% - mutate(private = ifelse(str_detect(enrolled, "ivy"), TRUE, FALSE)) %>% - mutate(group_A = ifelse(group == "A", TRUE, FALSE)) - -# Only look at groups A and B, since C and D don't have people in both public -# and private schools. | means "or" -schools_small <- schools %>% - filter(group == "A" | group == "B") -``` - -```{r load-data-real, echo=FALSE, warning=FALSE, message=FALSE} -schools <- read_csv(here::here("files", "data", "external_data", "public_private_earnings.csv")) %>% - mutate(private = ifelse(str_detect(enrolled, "ivy"), TRUE, FALSE)) %>% - mutate(group_A = ifelse(group == "A", TRUE, FALSE)) - -schools_small <- schools %>% - filter(group == "A" | group == "B") -``` - -It's really tempting to just find the average income for private school and subtract it from public school, like so: - -```{r} -schools_small %>% - group_by(private) %>% - summarize(avg_earnings = mean(earnings)) -``` - -It looks like those who went to private school have \$20,000 more in earnings! That's a ton! It's also ***incredibly wrong***. ***Don't do this!*** This does not account for any confounding or selection bias. According to our DAG, student characteristics are a huge confounder. We need to account for those. - -Following the potential outcomes framework, we can find the ATE by combining the conditional ATEs (or CATEs) for subgroups that are likely to predict outcomes or that bunch up similar observations. Let's use the Group A and B distinction as our subgroups here. - -First we can look at the average income for people in each group, divided by whether they went to a private or public school: - -```{r avg-income-groups-private} -avg_earnings <- schools_small %>% - group_by(group, private) %>% - summarize(avg_earnings = mean(earnings)) - -avg_earnings -``` - -Here we see that group A has higher income on average than group B, regardless of whether they went to a private school. Everyone in group A earns roughly \$100,000, while those in group B earn a lot less. - -We can find the exact differences in earnings for public vs. private within each group by pulling the values out of the table and taking their differences - -```{r diffs-by-hand} -# Pulling out each of the numbers is tedious and a good example of why we use -# regression instead. filter() selects rows that match the specified conditions -# (here where group and private both equal something) and pull extracts a column -# from the dataset. Because we're filtering this data in a way that makes it -# only have one row, pull() will extract a single number. - -# Group A -income_private_A <- avg_earnings %>% - filter(group == "A" & private == TRUE) %>% - pull(avg_earnings) - -income_public_A <- avg_earnings %>% - filter(group == "A" & private == FALSE) %>% - pull(avg_earnings) - -cate_a <- income_private_A - income_public_A -cate_a - -# Group B -income_private_B <- avg_earnings %>% - filter(group == "B" & private == TRUE) %>% - pull(avg_earnings) - -income_public_B <- avg_earnings %>% - filter(group == "B" & private == FALSE) %>% - pull(avg_earnings) - -cate_b <- income_private_B - income_public_B -cate_b -``` - -The private-public earnings gap for people in Group A (or $\text{CATE}_\text{Group A}$) is −\\\$`r comma(abs(cate_a))`, while for Group B (or $\text{CATE}_\text{Group B}$) it is \\\$`r comma(cate_b)`. It seems that there's a big effect for Group B, but a small reversed effect for A. - -We want to account for how many people are in each group, though, since A has more people than B, so we calculate the proportion of each group in the same and multiply the group differences by those proportions. - -$$ -\text{ATE} = \pi_\text{Group A} \text{CATE}_\text{Group A} + \pi_\text{Group B} \text{CATE}_\text{Group B} -$$ - -```{r weighted-differences} -# We need to find the proportion of people in each group -prop_in_groups <- schools_small %>% - group_by(group) %>% - summarize(n = n()) %>% - mutate(prop = n / nrow(schools_small)) -prop_in_groups - -prop_A <- prop_in_groups %>% filter(group == "A") %>% pull(prop) -prop_B <- prop_in_groups %>% filter(group == "B") %>% pull(prop) - -# With those proportions, we can weight the differences in groups correctly -weighted_effect <- (cate_a * prop_A) + (cate_b * prop_B) -weighted_effect -``` - -From this it looks like attending a private university causes a bump in earnings of `r dollar(weighted_effect)`. This is the average treatment effect (ATE). - - -## Effect of private school on earnings, with regression and controls - -Instead of looking at weighted averages (since that's tedious with just two groups—imagine doing all that with 3+ groups!), we can use a regression model that accounts for differences between groups A and B, since something about group A made them way wealthier than group B regardless of school type. - -We do that by predicting earnings based on private/public school attendance while also controlling for group: - -```{r} -model_earnings <- lm(earnings ~ private + group_A, data = schools_small) -``` - -```{r} -tidy(model_earnings) -``` - -There are three important numbers here. The intercept (or $\alpha$ in *Mastering 'Metrics*, or $\beta_0$) is \$40,000. This represents the earnings for someone with all the switches and sliders in the model set to 0 or turned off—in this case, someone who went to a public school in group B. - -The `group_A` coefficient shows the effect of just being in that group. For whatever reason, Group A earns an average of \$60,000 more than Group B—*for reasons other than education*. This allows us to control for the effect of selection. - -The coefficient for `private` is the one we care about the most—this is the causal effect of private schools on earnings (assuming we can justify all the controls and the matching into groups). It is \$10,000, which means that attending a private school gives you that much of a bump in income. This is larger than the \$9,000 we found earlier, but is probably more accurate since we're accounting for other weighted differences between groups. diff --git a/example/random-numbers.qmd b/example/random-numbers.qmd deleted file mode 100644 index 9b267b6d..00000000 --- a/example/random-numbers.qmd +++ /dev/null @@ -1,759 +0,0 @@ ---- -title: "Generating random numbers" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 4, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -In your final project, you will generate a synthetic dataset and use it to conduct an evaluation of some social program. Generating fake or simulated data is an *incredibly powerful skill*, but it takes some practice. Here are a bunch of helpful resources and code examples of how to use different R functions to generate random numbers that follow specific distributions (or probability shapes). - -This example focuses primarily on distributions. Each of the columns you'll generate will be completely independent from each other and there will be no correlation between them. [The example for generating synthetic data](/example/synthetic-data.qmd) provides code and a bunch of examples of how to build in correlations between columns. - -First, make sure you load the libraries we'll use throughout the example: - -```{r libraries, warning=FALSE, message=FALSE} -library(tidyverse) -library(patchwork) -``` - -## Seeds - -When R (or any computer program, really) generates random numbers, it uses an algorithm to simulate randomness. This algorithm always starts with an initial number, or seed. Typically it will use something like the current number of milliseconds since some date, so that every time you generate random numbers they'll be different. Look at this, for instance: - -```{r include=FALSE} -set.seed(1) -``` - -```{r} -# Choose 3 numbers between 1 and 10 -sample(1:10, 3) -``` - -```{r include=FALSE} -set.seed(2) -``` - -```{r} -# Choose 3 numbers between 1 and 10 -sample(1:10, 3) -``` - -They're different both times. - -That's ordinarily totally fine, but if you care about reproducibility (like having a synthetic dataset with the same random values, or having jittered points in a plot be in the same position every time you knit), it's a good idea to set your own seed. This ensures that the random numbers you generate are the same every time you generate them. - -Do this by feeding `set.seed()` some numbers. It doesn't matter what number you use—it just has to be a whole number. People have all sorts of favorite seeds: - -- `1` -- `13` -- `42` -- `1234` -- `12345` -- `20201101` (i.e. the current date) -- `8675309` - -You could even go to [random.org](https://www.random.org/) and use atmospheric noise to generate a seed, and then use that in R. - -Here's what happens when you generate random numbers after setting a seed: - -```{r} -# Set a seed -set.seed(1234) - -# Choose 3 numbers between 1 and 10 -sample(1:10, 3) - -# Set a seed -set.seed(1234) - -# Choose another 3 numbers between 1 and 10 -sample(1:10, 3) -``` - -They're the same! - -Once you set a seed, it influences any function that does anything random, but it doesn't reset. For instance, if you set a seed once and then run `sample()` twice, you'll get different numbers the second time, but you'll get the same different numbers every time: - -```{r} -# Set a seed -set.seed(1234) - -# Choose 3 numbers between 1 and 10 -sample(1:10, 3) -sample(1:10, 3) # This will be different! - -# Set a seed again -set.seed(1234) - -# Choose 3 numbers between 1 and 10 -sample(1:10, 3) -sample(1:10, 3) # This will be different, but the same as before! -``` - -Typically it's easiest to just include `set.seed(SOME_NUMBER)` at the top of your script after you load all the libraries. Some functions have a `seed` argument, and it's a good idea to use it: `position_jitter(..., seed = 1234)`. - - -## Distributions - -Remember in elementary school when you'd decide on playground turns by saying "Pick a number between 1 and 10" and whoever was the closest would win? When you generate random numbers in R, you're essentially doing the same thing, only with some fancier bells and whistles. - -When you ask someone to choose a number between 1 and 10, any of those numbers should be equally likely. 1 isn't really less common than 5 or anything. In some situations, though, there are numbers that are more likely to appear than others (i.e. when you roll two dice, it's pretty rare to get a 2, but pretty common to get a 7). These different kinds of likelihood change the shape of the *distribution* of possible values. There are [hundreds of different distributions](https://en.wikipedia.org/wiki/List_of_probability_distributions), but for the sake of generating data, there are only a few that you need to know. - -### Uniform distribution - -In a [uniform distribution](https://en.wikipedia.org/wiki/Discrete_uniform_distribution), every number is equally likely. This is the "pick a number between 1 and 10" scenario, or rolling a single die. There are a couple ways to work with a uniform distribution in R: (1) `sample()` and (2) `runif()`. - -#### `sample()` - -The `sample()` function chooses an element from a list. - -For instance, let's pretend we have six possible numbers (like a die, or like 6 categories on a survey), like this: - -```{r} -possible_answers <- c(1, 2, 3, 4, 5, 6) # We could also write this as 1:6 instead -``` - -If we want to randomly choose from this list, you'd use `sample()`. The `size` argument defines how many numbers to choose. - -```{r} -# Choose 1 random number -sample(possible_answers, size = 1) - -# Choose 3 random numbers -sample(possible_answers, size = 3) -``` - -One important argument you can use is `replace`, which essentially puts the number back into the pool of possible numbers. Imagine having a bowl full of ping pong balls with the numbers 1–6 on them. If you take the number "3" out, you can't draw it again. If you put it back in, you can pull it out again. The `replace` argument puts the number back after it's drawn: - -```{r} -# Choose 10 random numbers, with replacement -sample(possible_answers, size = 10, replace = TRUE) -``` - -If you don't specify `replace = TRUE`, and you try to choose more numbers than are in the set, you'll get an error: - -```{r error=TRUE} -# Choose 8 numbers between 1 and 6, but don't replace them. -# This won't work! -sample(possible_answers, size = 8) -``` - -It's hard to see patterns in the outcomes when generating just a handful of numbers, but easier when you do a lot. Let's roll a die 1,000 times: - -```{r dice-roll} -set.seed(1234) -die <- tibble(value = sample(possible_answers, - size = 1000, - replace = TRUE)) -die %>% - count(value) - -ggplot(die, aes(x = value)) + - geom_bar() + - labs(title = "1,000 rolls of a single die") -``` - -In this case, 3 and 6 came up more often than the others, but that's just because of randomness. If we rolled the die 100,000 times, the bars should basically be the same: - -```{r dice-roll-lots} -set.seed(1234) -die <- tibble(value = sample(possible_answers, - size = 100000, - replace = TRUE)) - -ggplot(die, aes(x = value)) + - geom_bar() + - labs(title = "100,000 rolls of a single die") -``` - -#### `runif()` - -Another way to generate uniformly distributed numbers is to use the `runif()` function (which is short for "random uniform", and which took me years to realize, and for years I wondered why people used a function named "run if" when there's no if statement anywhere??) - -`runif()` will choose numbers between a minimum and a maximum. These numbers will not be whole numbers. By default, the min and max are 0 and 1: - -```{r} -runif(5) -``` - -Here are 5 numbers between 35 and 56: - -```{r} -runif(5, min = 35, max = 56) -``` - -Since these aren't whole numbers, you can round them to make them look more realistic (like, if you were generating a column for age, you probably don't want people who are 21.5800283 years old): - -```{r} -# Generate 5 people between the ages of 18 and 35 -round(runif(5, min = 18, max = 35), 0) -``` - -You can confirm that each number has equal probability if you make a histogram. Here are 5,000 random people between 18 and 35: - -```{r runif-plot} -set.seed(1234) -lots_of_numbers <- tibble(x = runif(5000, min = 18, max = 35)) - -ggplot(lots_of_numbers, aes(x = x)) + - geom_histogram(binwidth = 1, color = "white", boundary = 18) -``` - -### Normal distribution - -The whole "choose a number between 1 and 10" idea of a uniform distribution is neat and conceptually makes sense, but most numbers that exist in the world tend to have higher probabilities around certain values—almost like gravity around a specific point. For instance, income in the United States is not uniformly distributed—a handful of people are really really rich, lots are very poor, and most are kind of clustered around an average. - -The idea of having possible values clustered around an average is how the rest of these distributions work (uniform distributions don't have any sort of central gravity point; all these others do). Each distribution is defined by different things called *parameters*, or values that determine the shape of the probabilities and locations of the clusters. - -A super common type of distribution is the [normal distribution](https://en.wikipedia.org/wiki/Normal_distribution). This is the famous "bell curve" you learn about in earlier statistics classes. A normal distribution has two parameters: - -1. A mean (the center of the cluster) -2. A standard deviation (how much spread there is around the mean). - -In R, you can generate random numbers from a normal distribution with the `rnorm()` function. It takes three arguments: the number of numbers you want to generate, the mean, and the standard deviation. It defaults to a mean of 0 and a standard deviation of 1, which means most numbers will cluster around 0, with a lot between −1 and 1, and some going up to −2 and 2 (technically 67% of numbers will be between −1 and 1, while 95% of numbers will be between −2–2ish) - -```{r} -rnorm(5) - -# Cluster around 10, with an SD of 4 -rnorm(5, mean = 10, sd = 4) -``` - -When working with uniform distributions, it's easy to know how high or low your random values might go, since you specify a minimum and maximum number. With a normal distribution, you don't specify starting and ending points—you specify a middle and a spread, so it's harder to guess the whole range. Plotting random values is thus essential. Here's 1,000 random numbers clustered around 10 with a standard deviation of 4: - -```{r normal-10-4} -set.seed(1234) - -plot_data <- tibble(x = rnorm(1000, mean = 10, sd = 4)) -head(plot_data) - -ggplot(plot_data, aes(x = x)) + - geom_histogram(binwidth = 1, boundary = 0, color = "white") -``` - -Neat. Most numbers are around 10; lots are between 5 and 15; some go as high as 25 and as low as −5. - -Watch what happens if you change the standard deviation to 10 to make the spread wider: - -```{r normal-10-10} -set.seed(1234) - -plot_data <- tibble(x = rnorm(1000, mean = 10, sd = 10)) -head(plot_data) - -ggplot(plot_data, aes(x = x)) + - geom_histogram(binwidth = 1, boundary = 0, color = "white") -``` - -It's still centered around 10, but now you get values as high as 40 and as low as −20. The data is more spread out now. - -When simulating data, you'll most often use a normal distribution just because it's easy and lots of things follow that pattern in the real world. Incomes, ages, education, etc. all have a kind of gravity to them, and a normal distribution is a good way of showing that gravity. For instance, here are 1,000 simulated people with reasonable random incomes, ages, and years of education: - -```{r reasonable-normal, fig.width=10, fig.height=5, out.width="100%"} -set.seed(1234) - -fake_people <- tibble(income = rnorm(1000, mean = 40000, sd = 15000), - age = rnorm(1000, mean = 25, sd = 8), - education = rnorm(1000, mean = 16, sd = 4)) -head(fake_people) - -fake_income <- ggplot(fake_people, aes(x = income)) + - geom_histogram(binwidth = 5000, color = "white", boundary = 0) + - labs(title = "Simulated income") - -fake_age <- ggplot(fake_people, aes(x = age)) + - geom_histogram(binwidth = 2, color = "white", boundary = 0) + - labs(title = "Simulated age") - -fake_education <- ggplot(fake_people, aes(x = education)) + - geom_histogram(binwidth = 2, color = "white", boundary = 0) + - labs(title = "Simulated education") - -fake_income + fake_age + fake_education -``` - -These three columns all have different centers and spreads. Income is centered around $45,000, going up to almost $100,000 and as low as −$10,000; age is centered around 25, going as low as 0 and as high as 50; education is centered around 16, going as low as 3 and as high as 28. Cool. - -Again, when generating these numbers, it's really hard to know how high or low these ranges will be, so it's a good idea to plot them constantly. I settled on `sd = 4` for education only because I tried things like `1` and `10` and got wild looking values (everyone basically at 16 with little variation, or everyone ranging from −20 to 50, which makes no sense when thinking about years of education). Really it's just a process of trial and error until the data looks good and reasonable. - -### Truncated normal distribution - -Sometimes you'll end up with negative numbers that make no sense. Look at income in the plot above, for instance. Some people are earning −\$10,000 year. The rest of the distribution looks okay, but those negative values are annoying. - -To fix this, you can use something called a [truncated normal distribution](https://en.wikipedia.org/wiki/Truncated_normal_distribution), which lets you specify a mean and standard deviation, just like a regular normal distribution, but also lets you specify a minimum and/or maximum so you don't get values that go too high or too low. - -R doesn't have a truncated normal function built-in, but you can install [the **truncnorm** package](https://github.com/olafmersmann/truncnorm) and use the `rtruncnorm()` function. A truncated normal distribution has four parameters: - -1. A mean (`mean`) -2. A standard deviation (`sd`) -3. A minimum (optional) (`a`) -4. A maximum (optional) (`b`) - -For instance, let's pretend you have a youth program designed to target people who are between 12 and 21 years old, with most around 14. You can generate numbers with a mean of 14 and a standard deviation of 5, but you'll create people who are too old, too young, or even negatively aged! - -```{r nontruncated-normal} -set.seed(1234) - -plot_data <- tibble(fake_age = rnorm(1000, mean = 14, sd = 5)) -head(plot_data) - -ggplot(plot_data, aes(x = fake_age)) + - geom_histogram(binwidth = 2, color = "white", boundary = 0) -``` - -To fix this, truncate the range at 12 and 21: - -```{r truncated-normal} -library(truncnorm) # For rtruncnorm() - -set.seed(1234) - -plot_data <- tibble(fake_age = rtruncnorm(1000, mean = 14, sd = 5, a = 12, b = 21)) -head(plot_data) - -ggplot(plot_data, aes(x = fake_age)) + - geom_histogram(binwidth = 1, color = "white", boundary = 0) -``` - -And voila! A bunch of people between 12 and 21, with most around 14, with no invalid values. - - -### Beta distribution - -Normal distributions are neat, but they're symmetrical around the mean (unless you truncate them). What if your program involves a test with a maximum of 100 points where most people score around 85, but a sizable portion score below that. In other words, it's not centered at 85, but is skewed left. - -To simulate this kind of distribution, we can use a Beta distribution. Beta distributions are neat because they naturally only range between 0 and 1—they're perfect for things like percentages or proportions or or 100-based exams. - -Unlike a normal distribution, where you use the mean and standard deviation as parameters, Beta distributions take two non-intuitive parameters: - -1. `shape1` -2. `shape2` - -What the heck are these shapes though?! [This answer at Cross Validated](https://stats.stackexchange.com/a/47782/3025) does an *excellent* job of explaining the intuition behind Beta distributions and it'd be worth it to read it. - -Basically, Beta distributions are good at modeling probabilities of things, and `shape1` and `shape2` represent specific parts of a probability formula. - -Let's say that there's an exam with 10 points where most people score a 6/10. Another way to think about this is that an exam is a collection of correct answers and incorrect answers, and that the percent correct follows this equation: - -$$ -\frac{\text{Number correct}}{\text{Number correct} + \text{Number incorrect}} -$$ - -If you scored a 6, you could write that as: - -$$ -\frac{6}{6 + 4} -$$ - -To make it more general, we can use Greek variable names: $\alpha$ for the number correct and $\beta$ for the number incorrect, leaving us with this: - -$$ -\frac{\alpha}{\alpha + \beta} -$$ - -Neat. - -In a Beta distribution, the $\alpha$ and $\beta$ in that equation correspond to `shape1` and `shape2`. If we want to generate random scores for this test where most people get 6/10, we can use `rbeta()`: - -```{r beta-example1} -set.seed(1234) - -plot_data <- tibble(exam_score = rbeta(1000, shape1 = 6, shape2 = 4)) %>% - # rbeta() generates numbers between 0 and 1, so multiply everything by 10 to - # scale up the exam scores - mutate(exam_score = exam_score * 10) - -ggplot(plot_data, aes(x = exam_score)) + - geom_histogram(binwidth = 1, color = "white") + - scale_x_continuous(breaks = 0:10) -``` - -Most people score around 6, with a bunch at 5 and 7, and fewer in the tails. Importantly, it's *not* centered at 6—the distribution is asymmetric. - -The magic of—and most confusing part about—Beta distributions is that you can get all sorts of curves by just changing the shape parameters. To make this easier to see, we can make a bunch of different Beta distributions. Instead of plotting them with histograms, we'll use density plots (and instead of generating random numbers, we'll plot the actual full range of the distribution (that's what `dbeta` and `geom_function()` do in all these examples)). - -Here's what we saw before, with $\alpha$ (`shape1`) = 6 and $\beta$ (`shape2`) = 4: - -```{r beta-6-4} -ggplot() + - geom_function(fun = ~dbeta(.x, shape1 = 6, shape2 = 4)) -``` - -Again, there's a peak at 0.6 (or 6), which is what we expected. - -We can make the distribution narrower if we scale the shapes up. Here pretty much everyone scores around 50% and 75%. - -```{r beta-60-44} -ggplot() + - geom_function(fun = ~dbeta(.x, shape1 = 60, shape2 = 40)) -``` - -So far all these curves look like normal distributions, just slightly skewed. But when if most people score 90–100%? Or most fail? A Beta distribution can handle that too: - -```{r beta-1-9-9-1} -ggplot() + - geom_function(fun = ~dbeta(.x, shape1 = 9, shape2 = 1), color = "blue") + - geom_function(fun = ~dbeta(.x, shape1 = 1, shape2 = 9), color = "red") -``` - -With `shape1 = 9` and `shape2 = 1` (or $\frac{9}{9 + 1}$) we get most around 90%, while `shape1 = 1` and `shape2 = 9` (or $\frac{1}{1 + 9}$) gets us most around 10%. - -Check out all these other shapes too: - -```{r beta-lots} -ggplot() + - geom_function(fun = ~dbeta(.x, shape1 = 5, shape2 = 5), color = "blue") + - geom_function(fun = ~dbeta(.x, shape1 = 2, shape2 = 5), color = "red") + - geom_function(fun = ~dbeta(.x, shape1 = 80, shape2 = 23), color = "orange") + - geom_function(fun = ~dbeta(.x, shape1 = 13, shape2 = 17), color = "brown") -``` - -In real life, if I don't want to figure out the math behind the $\frac{\alpha}{\alpha + \beta}$ shape values, I end up just choosing different numbers until it looks like the shape I want, and then I use `rbeta()` with those parameter values. Like, how about we generate some numbers based on the red line above, with `shape1 = 2` and `shape2 = 5`, which looks like it should be centered around 0.2ish ($\frac{2}{2 + 5} = 0.2857$): - -```{r beta-2-5} -set.seed(1234) - -plot_data <- tibble(thing = rbeta(1000, shape1 = 2, shape2 = 5)) %>% - mutate(thing = thing * 100) -head(plot_data) - -ggplot(plot_data, aes(x = thing)) + - geom_histogram(binwidth = 2, color = "white", boundary = 0) -``` - -It worked! Most values are around 20ish, but some go up to 60–80. - - -### Binomial distribution - -Often you'll want to generate a column that only has two values: yes/no, treated/untreated, before/after, big/small, red/blue, etc. You'll also likely want to control the proportions (25% treated, 62% blue, etc.). You can do this in two different ways: (1) `sample()` and (2) `rbinom()`. - -#### `sample()` - -We already saw `sample()` when we talked about uniform distributions. To generate a binary variable with `sample()`, just feed it a list of two possible values: - -```{r} -set.seed(1234) - -# Choose 5 random T/F values -possible_things <- c(TRUE, FALSE) -sample(possible_things, 5, replace = TRUE) -``` - -R will choose these values with equal/uniform probability by default, but you can change that in `sample()` with the `prob` argument. For instance, pretend you want to simulate an election. According to the latest polls, one candidate has an 80% chance of winning. You want to randomly choose a winner based on that chance. Here's how to do that with `sample()`: - -```{r} -set.seed(1234) -candidates <- c("Person 1", "Person 2") -sample(candidates, size = 1, prob = c(0.8, 0.2)) -``` - -Person 1 wins! - -It's hard to see the weighted probabilities when you just choose one, so let's pretend there are 1,000 elections: - -```{r fake-election} -set.seed(1234) -fake_elections <- tibble(winner = sample(candidates, - size = 1000, - prob = c(0.8, 0.2), - replace = TRUE)) -fake_elections %>% - count(winner) - -ggplot(fake_elections, aes(x = winner)) + - geom_bar() -``` - -Person 1 won 792 of the elections. Neat. - -(This is essentially what election forecasting websites like FiveThirtyEight do! They just do it with way more sophisticated simulations.) - -#### `rbinom()` - -Instead of using `sample()`, you can use a formal distribution called the [binomial distribution](https://en.wikipedia.org/wiki/Binomial_distribution). This distribution is often used for things that might have "trials" or binary outcomes that are like success/failure or yes/no or true/false - -The binomial distribution takes two parameters: - -1. `size`: The number of "trials", or times that an event happens -2. `prob`: The probability of success in each trial - -It's easiest to see some examples of this. Let's say you have a program that has a 60% success rate and it is tried on groups of 20 people 5 times. The parameters are thus `size = 20` (since there are twenty people per group) and `prob = 0.6` (since there is a 60% chance of success): - -```{r} -set.seed(1234) - -rbinom(5, size = 20, prob = 0.6) -``` - -The results here mean that in group 1, 15/20 (75%) people had success, in group 2, 11/20 (55%) people had success, and so on. Not every group will have exactly 60%, but they're all kind of clustered around that. - -HOWEVER, I don't like using `rbinom()` like this, since this is all group-based, and when you're generating fake people you generally want to use individuals, or groups of 1. So instead, I assume that `size = 1`, which means that each "group" is only one person large. This forces the generated numbers to either be 0 or 1: - -```{r} -set.seed(1234) - -rbinom(5, size = 1, prob = 0.6) -``` - -Here, only 1 of the 5 people were 1/TRUE/yes, which is hardly close to a 60% chance overall, but that's because we only generated 5 numbers. If we generate lots, we can see the probability of yes emerge: - -```{r plot-binomial} -set.seed(12345) - -plot_data <- tibble(thing = rbinom(2000, 1, prob = 0.6)) %>% - # Make this a factor since it's basically a yes/no categorical variable - mutate(thing = factor(thing)) - -plot_data %>% - count(thing) %>% - mutate(proportion = n / sum(n)) - -ggplot(plot_data, aes(x = thing)) + - geom_bar() -``` - -58% of the 2,000 fake people here were 1/TRUE/yes, which is close to the goal of 60%. Perfect. - - -### Poisson distribution - -One last common distribution that you might find helpful when simulating data is the [Poisson distribution](https://en.wikipedia.org/wiki/Poisson_binomial_distribution) (in French, ["poisson" = fish](https://www.youtube.com/watch?v=UoJxBEQRLd0), but here it's not actually named after the animal, but after [French mathematician Siméon Denis Poisson](https://en.wikipedia.org/wiki/Sim%C3%A9on_Denis_Poisson)). - -A Poisson distribution is special because it generates whole numbers (i.e. nothing like 1.432) that follow a skewed pattern (i.e. more smaller values than larger values). There's all sorts of fancy math behind it that you don't need to worry about so much—all you need to know is that it's good at modeling things called [Poisson processes](https://en.wikipedia.org/wiki/Poisson_point_process). - -For instance, let's say you're sitting at the front door of a coffee shop (in pre-COVID days) and you count how many people are in each arriving group. You'll see something like this: - -- 1 person -- 1 person -- 2 people -- 1 person -- 3 people -- 2 people -- 1 person - -Lots of groups of one, some groups of two, fewer groups of three, and so on. *That's* a Poisson process: a bunch of independent random events that combine into grouped events. - -That sounds weird and esoteric (and it is!), but it reflects lots of real world phenomena, and things you'll potentially want to measure in a program. For instance, the number of kids a family has follows a type of Poisson process. Lots of families have 1, some have 2, fewer have 3, even fewer have 4, and so on. The number of cars in traffic, the number of phone calls received by an office, arrival times in a line, and even the outbreak of wars are all examples of Poisson processes. - -You can generate numbers from a Poisson distribution with the `rpois()` function in R. This distribution only takes a single parameter: - -- `lambda` ($\lambda$) - -The $\lambda$ value controls the rate or speed that a Poisson process increases (i.e. jumps from 1 to 2, from 2 to 3, from 3 to 4, etc.). *I have absolutely zero mathematical intuition for how it works.* The two shape parameters for a Beta distribution at least fit in a fraction and you can wrap your head around that, but the lambda in a Poisson distribution is just a mystery to me. So whenever I use a Poisson distribution for something, I just play with the lambda until the data looks reasonable. - -Let's assume that the number of kids a family has follows a Poisson process. Here's how we can use `rpois()` to generate that data: - -```{r} -set.seed(123) - -# 10 different families -rpois(10, lambda = 1) -``` - -Cool. Most families have 0–1 kids; some have 2; one has 3. - -It's easier to see these patterns with a plot: - -```{r plot-poisson-lambda1} -set.seed(1234) - -plot_data <- tibble(num_kids = rpois(500, lambda = 1)) -head(plot_data) - -plot_data %>% - group_by(num_kids) %>% - summarize(count = n()) %>% - mutate(proportion = count / sum(count)) - -ggplot(plot_data, aes(x = num_kids)) + - geom_bar() -``` - -Here 75ish% of families have 0–1 kids (36% + 37.4%), 17% have 2 kids, 6% have 3, 2% have 4, and only 0.6% have 5. - -We can play with the $\lambda$ to increase the rate of kids per family: - -```{r plot-poisson-lambda3} -set.seed(1234) - -plot_data <- tibble(num_kids = rpois(500, lambda = 2)) -head(plot_data) - -plot_data %>% - group_by(num_kids) %>% - summarize(count = n()) %>% - mutate(proportion = count / sum(count)) - -ggplot(plot_data, aes(x = num_kids)) + - geom_bar() -``` - -Now most families have 1–2 kids. Cool. - - -## Rescaling numbers - -All these different distributions are good at generating general shapes: - -- Uniform: a bunch of random numbers with no central gravity -- Normal: an average ± some variation -- Beta: different shapes and skews and gravities between 0 and 1 -- Binomial: yes/no outcomes that follow some probability - -The shapes are great, but you also care about the values of these numbers. This can be tricky. As we saw earlier with a normal distribution, sometimes you'll get values that go below zero or above some value you care about. We fixed that with a truncated normal distribution, but not all distributions have truncated versions. Additionally, if you're using a Beta distribution, you're stuck in a 0–1 scale (or 0–10 or 0–100 if you multiply the value by 10 or 100 or whatever). - -What if you want a fun skewed Beta shape for a variable like income or some other value that doesn't fit within a 0–1 range? You can rescale any set of numbers after-the-fact using the `rescale()` function from the **scales** library and rescale things to whatever range you want. - -For instance, let's say that income isn't normally distributed, but is right-skewed with a handful of rich people. This might look like a Beta distribution with `shape1 = 2` and `shape2 = 5`: - -```{r beta-2-5-income} -ggplot() + - geom_function(fun = ~dbeta(.x, shape1 = 2, shape2 = 5)) -``` - -If we generate random numbers from this distribution, they'll all be stuck between 0 and 1: - -```{r beta-income-not-scaled} -set.seed(1234) - -fake_people <- tibble(income = rbeta(1000, shape1 = 2, shape2 = 5)) - -ggplot(fake_people, aes(x = income)) + - geom_histogram(binwidth = 0.1, color = "white", boundary = 0) -``` - -We can take those underling 0–1 values and rescale them to some other range using the `rescale()` function. We can specify the minimum and maximum values in the `to` argument. Here we'll scale it up so that 0 = $10,000 and 1 = $100,000. Our rescaled version follows the same skewed Beta distribution shape, but now we're using better values! - -```{r beta-income-scaled, message=FALSE, warning=FALSE} -library(scales) - -fake_people_scaled <- fake_people %>% - mutate(income_scaled = rescale(income, to = c(10000, 100000))) -head(fake_people_scaled) - -ggplot(fake_people_scaled, aes(x = income_scaled)) + - geom_histogram(binwidth = 5000, color = "white", boundary = 0) -``` - -This works for anything, really. For instance, instead of specifying a mean and standard deviation for a normal distribution and hoping that the generated values don't go too high or too low, you can generate a normal distribution with a mean of 0 and standard deviation of 1 and then rescale it to the range you want: - -```{r normal-scaled-up, fig.width=8} -set.seed(1234) - -fake_data <- tibble(age_not_scaled = rnorm(1000, mean = 0, sd = 1)) %>% - mutate(age = rescale(age_not_scaled, to = c(18, 65))) -head(fake_data) - -plot_unscaled <- ggplot(fake_data, aes(x = age_not_scaled)) + - geom_histogram(binwidth = 0.5, color = "white", boundary = 0) - -plot_scaled <- ggplot(fake_data, aes(x = age)) + - geom_histogram(binwidth = 5, color = "white", boundary = 0) - -plot_unscaled + plot_scaled -``` - -This gives you less control over the center of the distribution (here it happens to be 40 because that's in the middle of 18 and 65), but it gives you more control over the edges of the distribution. - -Rescaling things is really helpful when building in effects and interacting columns with other columns, since multiplying variables by different coefficients can make the values go way out of the normal range. You'll see a lot more of that in the [synthetic data example](/example/synthetic-data.qmd). - - -## Summary - -Phew. We covered a lot here, and we barely scratched the surface of all the distributions that exist. Here's a helpful summary of the main distributions you should care about: - -```{r summary-table, echo=FALSE, warning=FALSE, message=FALSE} -library(kableExtra) - -tribble( - ~Distribution, ~Description, ~Situations, ~Parameters, ~Code, - "Uniform", "Numbers between a minimum and maximum; everything equally likely", "ID numbers, age", "min, max", "sample() or runif()", - "Normal", "Numbers bunched up around an average with a surrounding spread; numbers closer to average more likely", "Income, education, most types of numbers that have some sort of central tendency", "mean, sd", "rnorm()", - "Truncated normal", "Normal distribution + constraints on minimum and/or maximum values", "Anything with a normal distribution", "mean, sd, a (minimum), b (maximum)", "truncnorm::rtruncnorm()", - "Beta", "Numbers constrained between 0 and 1", "Anything with percents; anything on a 0–1(00) scale; anything, really, if you use rescale() to rescale it", "shape1 ($\\alpha$), shape2 ($\\beta$) ($\\frac{\\alpha}{\\alpha + \\beta}$)", "rbeta()", - "Binomial", "Binary variables", "Treatment/control, yes/no, true/false, 0/1", "size, prob", "sample(..., prob = 0.5) or rbinom()", - "Poisson", "Whole numbers that represent counts of things", "Number of kids, number of cities lived in, arrival times", "lambda", "rpois()" -) %>% - kbl(escape = FALSE, align = "l") -``` - - -## Example - -And here's an example dataset of 1,000 fake people and different characteristics. One shortcoming of this fake data is that each of these columns is completely independent—there's no relationship between age and education and family size and income. You can see how to make these columns correlated (and make one cause another!) in the [example for synthetic data](/example/synthetic-data.qmd). - -```{r example-data} -set.seed(1234) - -# Set the number of people here once so it's easier to change later -n_people <- 1000 - -example_fake_people <- tibble( - id = 1:n_people, - opinion = sample(1:5, n_people, replace = TRUE), - age = runif(n_people, min = 18, max = 80), - income = rnorm(n_people, mean = 50000, sd = 10000), - education = rtruncnorm(n_people, mean = 16, sd = 6, a = 8, b = 24), - happiness = rbeta(n_people, shape1 = 2, shape2 = 1), - treatment = sample(c(TRUE, FALSE), n_people, replace = TRUE, prob = c(0.3, 0.7)), - size = rbinom(n_people, size = 1, prob = 0.5), - family_size = rpois(n_people, lambda = 1) + 1 # Add one so there are no 0s -) %>% - # Adjust some of these columns - mutate(opinion = recode(opinion, "1" = "Strongly disagree", - "2" = "Disagree", "3" = "Neutral", - "4" = "Agree", "5" = "Strongly agree")) %>% - mutate(size = recode(size, "0" = "Small", "1" = "Large")) %>% - mutate(happiness = rescale(happiness, to = c(1, 8))) - -head(example_fake_people) -``` - -```{r example-plots-1, fig.width=10, out.width="100%"} -plot_opinion <- ggplot(example_fake_people, aes(x = opinion)) + - geom_bar() + - guides(fill = "none") + - labs(title = "Opinion (uniform with sample())") - -plot_age <- ggplot(example_fake_people, aes(x = age)) + - geom_histogram(binwidth = 5, color = "white", boundary = 0) + - labs(title = "Age (uniform with runif())") - -plot_income <- ggplot(example_fake_people, aes(x = income)) + - geom_histogram(binwidth = 5000, color = "white", boundary = 0) + - labs(title = "Income (normal)") - -plot_education <- ggplot(example_fake_people, aes(x = education)) + - geom_histogram(binwidth = 2, color = "white", boundary = 0) + - labs(title = "Education (truncated normal)") - -plot_happiness <- ggplot(example_fake_people, aes(x = happiness)) + - geom_histogram(binwidth = 1, color = "white") + - scale_x_continuous(breaks = 1:8) + - labs(title = "Happiness (Beta, rescaled to 1-8)") - -plot_treatment <- ggplot(example_fake_people, aes(x = treatment)) + - geom_bar() + - labs(title = "Treatment (binary with sample())") - -plot_size <- ggplot(example_fake_people, aes(x = size)) + - geom_bar() + - labs(title = "Size (binary with rbinom())") - -plot_family <- ggplot(example_fake_people, aes(x = family_size)) + - geom_bar() + - scale_x_continuous(breaks = 1:7) + - labs(title = "Family size (Poisson)") - -(plot_opinion + plot_age) / (plot_income + plot_education) -``` - -```{r example-plots-2, fig.width=10, out.width="100%"} -(plot_happiness + plot_treatment) / (plot_size + plot_family) -``` diff --git a/example/rcts.qmd b/example/rcts.qmd deleted file mode 100644 index 57a36531..00000000 --- a/example/rcts.qmd +++ /dev/null @@ -1,211 +0,0 @@ ---- -title: "Randomized controlled trials (RCTs)" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -There's no video for this example, since the R code is fairly straightforward, and since [I talked about it in the lecture](https://www.youtube.com/watch?v=W0NyALrjLA4&list=PLS6tnpTr39sGJURMOwN9tf9MNDN4t0JMz) ([see the slides](/slides/07-slides.html#26)). - -If you want to follow along with this example, you can download the data below: - -- [{{< fa table >}} `village_randomized.csv`](/files/data/generated_data/village_randomized.csv) - -```{r load-libraries, message=FALSE, warning=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(ggdag) # Make DAGs -library(scales) # Format numbers with functions like comma(), percent(), and dollar() -library(broom) # Convert models to data frames -library(patchwork) # Combine ggplots into single composite plots - -set.seed(1234) # Make all random draws reproducible -``` - -```{r load-data-fake, eval=FALSE} -village_randomized <- read_csv("data/village_randomized.csv") -``` - -```{r load-data-real, include=FALSE, warning=FALSE, message=FALSE} -village_randomized <- read_csv(here::here("files", "data", "generated_data", "village_randomized.csv")) -``` - -## Program details - -In this hypothetical situation, an NGO is planning on launching a training program designed to boost incomes. Based on their experiences in running pilot programs in other countries, they've found that older, richer men tend to self-select into the training program. The NGO's evaluation consultant (you!) drew this causal model explaining the effect of the program on participant incomes, given the confounding caused by age, sex, and prior income: - -```{r income-dag} -income_dag <- dagify(post_income ~ program + age + sex + pre_income, - program ~ age + sex + pre_income, - exposure = "program", - outcome = "post_income", - labels = c(post_income = "Post income", - program = "Program", - age = "Age", - sex = "Sex", - pre_income = "Pre income"), - coords = list(x = c(program = 1, post_income = 5, age = 2, - sex = 4, pre_income = 3), - y = c(program = 2, post_income = 2, age = 1, - sex = 1, pre_income = 3))) - -ggdag_status(income_dag, use_labels = "label", text = FALSE, seed = 1234) + - guides(color = "none") + - theme_dag() -``` - -The NGO just received funding to run a randomized controlled trial (RCT) in a village, and you're excited because you can finally manipulate access to the program—you can calculate $E(\text{Post-income} | do(\text{Program})$. Following the rules of causal diagrams, you get to delete all the arrows going into the program node: - -```{r income-dag-rct} -income_dag_rct <- dagify(post_income ~ program + age + sex + pre_income, - exposure = "program", - outcome = "post_income", - labels = c(post_income = "Post income", - program = "Program", - age = "Age", - sex = "Sex", - pre_income = "Pre income"), - coords = list(x = c(program = 1, post_income = 5, age = 2, - sex = 4, pre_income = 3), - y = c(program = 2, post_income = 2, age = 1, - sex = 1, pre_income = 3))) - -ggdag_status(income_dag_rct, use_labels = "label", text = FALSE, seed = 1234) + - guides(color = "none") + - theme_dag() -``` - - -## 1. Check balance - -You ran the study on `r comma(nrow(village_randomized))` participants over the course of 6 months and you just got your data back. - -Before calculating the effect of the program, you first check to see how well balanced assignment was, and you find that assignment to the program was pretty much split 50/50, which is good: - -```{r} -village_randomized %>% - count(program) %>% - mutate(prop = n / sum(n)) -``` - -You then check to see how well balanced the treatment and control groups were in participants' pre-treatment characteristics: - -```{r} -village_randomized %>% - group_by(program) %>% - summarize(prop_male = mean(sex_num), - avg_age = mean(age), - avg_pre_income = mean(pre_income)) -``` - -These variables appear fairly well balanced. To check that there aren't any statistically significant differences between the groups, you make some graphs (you could run t-tests too, but graphs are easier for your non-statistical audience to read later). - -There were more men in both the treatment and control groups, but the proportion is the same in both, and there's no substantial difference in sex proportion: - -```{r balance-sex, fig.width=9, fig.asp=0.618/1.5, out.width="100%"} -# Here we save each plot as an object so that we can combine the two plots with -# + (which comes from the patchwork package). If you want to see what an -# individual plot looks like, you can run `plot_diff_sex`, or whatever the plot -# object is named. -# -# stat_summary() here is a little different from the geom_*() layers you've seen -# in the past. stat_summary() takes a function (here mean_se()) and runs it on -# each of the program groups to get the average and standard error. It then -# plots those with geom_pointrange. The fun.args part of this lets us pass an -# argument to mean_se() so that we can multiply the standard error by 1.96, -# giving us the 95% confidence interval. -plot_diff_sex <- ggplot(village_randomized, aes(x = program, y = sex_num, color = program)) + - stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) + - guides(color = "none") + - labs(x = NULL, y = "Proportion male") -# plot_diff_sex # Uncomment this if you want to see this plot by itself - -plot_prop_sex <- ggplot(village_randomized, aes(x = program, fill = sex)) + - # Using position = "fill" makes the bars range from 0-1 and show the proportion - geom_bar(position = "fill") + - labs(x = NULL, y = "Proportion", fill = NULL) + - scale_fill_manual(values = c("darkblue", "darkred")) - -# Show the plots side-by-side -plot_diff_sex + plot_prop_sex -``` - -The distribution of ages looks basically the same in the treatment and control groups, and there's no substantial difference in the average age across groups: - -```{r balance-age, fig.width=9, fig.asp=0.618/1.5, out.width="100%"} -plot_diff_age <- ggplot(village_randomized, aes(x = program, y = age, color = program)) + - stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) + - guides(color = "none") + - labs(x = NULL, y = "Age") - -plot_hist_age <- ggplot(village_randomized, aes(x = age, fill = program)) + - geom_histogram(binwidth = 1, color = "white") + - guides(fill = "none") + - labs(x = "Age", y = "Count") + - facet_wrap(vars(program), ncol = 1) - -plot_diff_age + plot_hist_age -``` - -Pre-program income is also distributed the same—and has no substantial difference in averages—across treatment and control groups: - -```{r balance-income, fig.width=9, fig.asp=0.618/1.5, out.width="100%"} -plot_diff_income <- ggplot(village_randomized, aes(x = program, y = pre_income, color = program)) + - stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) + - guides(color = "none") + - labs(x = NULL, y = "Pre income") - -plot_hist_income <- ggplot(village_randomized, aes(x = pre_income, fill = program)) + - geom_histogram(binwidth = 20, color = "white") + - guides(fill = "none") + - labs(x = "Pre income", y = "Count") + - facet_wrap(vars(program), ncol = 1) - -plot_diff_income + plot_hist_income -``` - -All our pre-treatment covariates look good and balanced! You can now estimate the causal effect of the program. - -## 2. Estimate difference - -You are interested in the causal effect of the program, or - -$$ -E[\text{Post income}\ |\ do(\text{Program})] -$$ - -You can find this causal effect by calculating the average treatment effect: - -$$ -\text{ATE} = E(\overline{\text{Post income }} | \text{ Program} = 1) - E(\overline{\text{Post income }} | \text{ Program} = 0) -$$ - -This is simply the average outcome for people in the program minus the average outcome for people not in the program. You calculate the group averages: - -```{r program-diffs} -village_randomized %>% - group_by(program) %>% - summarize(avg_post = mean(post_income)) -``` - -That's 1279 − 1180, or `r 1279 - 1180`, which means that the program caused an increase of `r dollar(1279 - 1180)` in incomes, on average. - -Finding that difference required some manual math, so as a shortcut, you run a regression model with post-program income as the outcome variable and the program indicator variable as the explanatory variable. The coefficient for `program` is the causal effect (and it includes information about standard errors and significance). You find the same result: - -```{r program-diffs-regression} -model_rct <- lm(post_income ~ program, data = village_randomized) -tidy(model_rct) -``` - -Based on your RCT, you conclude that the program causes an average increase of `r tidy(model_rct) %>% filter(term == "programProgram") %>% pull(estimate) %>% dollar()` in income. - -```{r rct-finding} -ggplot(village_randomized, aes(x = program, y = post_income, color = program)) + - stat_summary(geom = "pointrange", fun.data = "mean_se", fun.args = list(mult = 1.96)) + - guides(color = "none") + - labs(x = NULL, y = "Post income") -``` diff --git a/example/rdd-fuzzy.qmd b/example/rdd-fuzzy.qmd deleted file mode 100644 index fc45150d..00000000 --- a/example/rdd-fuzzy.qmd +++ /dev/null @@ -1,238 +0,0 @@ ---- -title: "Fuzzy regression discontinuity" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -## Program background - -In this example, we'll use the same situation that we used in the [the example for regression discontinuity](/example/rdd.qmd): - -- Students take an entrance exam at the beginning of the school year -- If they score 70 or below, they are enrolled in a free tutoring program -- Students take an exit exam at the end of the year - -If you want to follow along, download this dataset and put it in a folder named `data`: - -- [{{< fa table >}} `tutoring_program_fuzzy.csv`](/files/data/generated_data/tutoring_program_fuzzy.csv) - -```{r include=FALSE, warning=FALSE, message=FALSE} -library(tidyverse) -library(broom) -library(rdrobust) -library(estimatr) -library(modelsummary) -library(kableExtra) - -tutoring <- read_csv(here::here("files", "data", "generated_data", "tutoring_program_fuzzy.csv")) -``` - -```{r eval=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(broom) # Convert models to data frames -library(rdrobust) # For robust nonparametric regression discontinuity -library(estimatr) # Run 2SLS models in one step with iv_robust() -library(modelsummary) # Create side-by-side regression tables -library(kableExtra) # Fancy table formatting - -tutoring <- read_csv("data/tutoring_program_fuzzy.csv") -``` - - -## Noncompliance around a cutoff - -In [the example for regression discontinuity](/example/rdd.qmd), it was fairly easy to measure the size of the jump at the cutoff because compliance was perfect. No people who scored above the threshold used the tutoring program, and nobody who qualified for the program didn't use it. It was a *sharp* design, since program usage looked like this: - -```{r echo=FALSE, out.width="75%"} -knitr::include_graphics("/example/rdd_files/figure-html/check-fuzzy-sharp-1.png", error = FALSE) -``` - -However, seeing a cutoff this sharp and this perfect is fairly rare. It is possible that some people scored higher on the entrace exam and somehow used tutoring, or that some people scored below the threshold but didn't participate in the program, either because they're never-takers, or because they fell through bureaucratic cracks. - -More often, you'll see compliance that looks like this: - -```{r fuzzy-compliance} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, color = entrance_exam <= 70)) + - # Make points small and semi-transparent since there are lots of them - geom_point(size = 1.5, alpha = 0.5, - position = position_jitter(width = 0, height = 0.25, seed = 1234)) + - # Add vertical line - geom_vline(xintercept = 70) + - # Add labels - labs(x = "Entrance exam score", y = "Participated in tutoring program") + - # Turn off the color legend, since it's redundant - guides(color = "none") -``` - -We can see the count and percentages of compliance with `group_by()` and `summarize()`: - -```{r} -tutoring %>% - group_by(tutoring, entrance_exam <= 70) %>% - summarize(count = n()) %>% - group_by(tutoring) %>% - mutate(prop = count / sum(count)) -``` - -Here we have 36 people who should have used tutoring who didn't (either because they're never-takers and are anti-program, or because the system failed them), and we have 116 people (!!!) who somehow snuck into the program. That should probably be a big red flag for the program administrators. That means that 36.5% of people in the tutoring program shouldn't have been there. Big yikes. - -This is definitely not a sharp design. This is a fuzzy regression discontinuity. - -## Visualizing a fuzzy gap - -With regular sharp RD, our goal is to measure the size of the gap or discontinuity in outcome right at the cutoff. [In our sharp example](/example/rdd.qmd#step-4-check-for-discontinuity-in-outcome-across-running-variabl) we did this with different parametric regression models, as well as with the `rdrobust()` function for nonparametric measurement. - -Regular parametric regression won't really work here because we have strange compliance issues: - -```{r check-outcome-fuzzy-discontinuity, message=FALSE} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, color = tutoring)) + - geom_point(size = 1, alpha = 0.5) + - # Add a line based on a linear model for the people scoring less than 70 - geom_smooth(data = filter(tutoring, entrance_exam <= 70), method = "lm") + - # Add a line based on a linear model for the people scoring 70 or more - geom_smooth(data = filter(tutoring, entrance_exam > 70), method = "lm") + - geom_vline(xintercept = 70) + - labs(x = "Entrance exam score", y = "Exit exam score", color = "Used tutoring") -``` - -There's still a visible gap at 70, but there are people who did and did not use the program on both sides of the cutoff. - -Another way to look at this is to make a sort of histogram that shows the probability of being in the tutoring program at different entrance exam scores. 100% of people who score between 25 and 50 on the exam used tutoring, so that's good, but then the probability of tutoring drops to ≈80ish% up until the cutpoint at 70. After 70, there's a 10–15% chance of using tutoring if you're above the threshold. - -If this were a sharp design, every single bar to the left of the cutpoint would be 100% and every single bar to the right would be 0%, but that's not the case here. The probability of tutoring changes at the cutpoint, but it's not 100% perfect. - -```{r fuzzy-binned, fig.width=8} -# This fun code uses cut() to split the entrance exam column into distinct -# categories (0-5, 5-10, 10-15, etc.). You'll see some strange syntax in the -# categories it creates: (70, 75]. These ranges start with ( and end with ] for -# a reason: ( means the range *does not* include the number, while ] means that -# the range *does* include the number. (70, 75] thus means 71-75. You can -# reverse that with an argument to cut() so taht it would do [70, 75), which -# means 70-74. -tutoring_with_bins <- tutoring %>% - mutate(exam_binned = cut(entrance_exam, breaks = seq(0, 100, 5))) %>% - # Group by each of the new bins and tutoring status - group_by(exam_binned, tutoring) %>% - # Count how many people are in each test bin + used/didn't use tutoring - summarize(n = n()) %>% - # Make this summarized data wider so that there's a column for tutoring and no tutoring - pivot_wider(names_from = "tutoring", values_from = "n", values_fill = 0) %>% - rename(tutor_yes = `TRUE`, tutor_no = `FALSE`) %>% - # Find the probability of tutoring in each bin by taking - # the count of yes / count of yes + count of no - mutate(prob_tutoring = tutor_yes / (tutor_yes + tutor_no)) - -# Plot this puppy -ggplot(tutoring_with_bins, aes(x = exam_binned, y = prob_tutoring)) + - geom_col() + - geom_vline(xintercept = 8.5) + - labs(x = "Entrance exam score", y = "Proportion of people participating in program") -``` - -## Measuring a fuzzy gap - -So how do we actually measure this gap, given all the compliance issues? Recall from Session 12 that *instruments* let us isolate causal effects for just compliers: they let us find [the complier average causal effect, or CACE](/example/cace.qmd). - -But what should we use as an instrument? Do we use something weird like [the Scrabble score of people's names](http://ftp.iza.org/dp7725.pdf)? Something [overused like rainfall](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3715610)? - -No! In this case, the instrument is fairly easy and straightforward: we create a variable that indicates if someone is above or below the threshold. That's all. This variable essentially measures *what should have happened* rather than what actually happened. - -Surprisingly, it meets all the qualifications of an instrument too: - -- **Relevance** ($Z \rightarrow X$ and $\operatorname{Cor}(Z, X) \neq 0$): The cutoff causes access to the tutoring program. -- **Exclusion** ($Z \rightarrow X \rightarrow Y$ and $Z \nrightarrow Y$ and $\operatorname{Cor}(Z, Y | X) = 0$): The cutoff causes exit exam scores *only through* the tutoring program. -- **Exogeneity** ($U \nrightarrow Z$ and $\operatorname{Cor}(Z, U) = 0$): Unobserved confounders between the tutoring program and exit exam scores are unrelated to the cutoff. - -### Fuzzy parametric estimation - -Let's make an instrument! We'll also center the running variable just like we did with sharp regression discontinuity: - -```{r make-instrument} -tutoring_centered <- tutoring %>% - mutate(entrance_centered = entrance_exam - 70, - below_cutoff = entrance_exam <= 70) -tutoring_centered -``` - -Now we have a new column named `below_cutoff` that we'll use as an instrument. Most of the time this will be the same as the `tutoring` column, since most people are compliers. But some people didn't comply, like person 8 here who was *not* below the cutoff but still used the tutoring program. - -Before using the instrument, let's first run a model that assumes the cutoff is sharp. As we did with [the sharp parametric analysis](/example/rdd.qmd#parametric-estimation), we'll include two explanatory variables: - -$$ -\text{Exit exam} = \beta_0 + \beta_1 \text{Entrance exam score}_\text{centered} + \beta_2 \text{Tutoring program} + \epsilon -$$ - -We'll use a bandwidth of 10: - -```{r model-wrong} -# Bandwidth ±10 -model_sans_instrument <- lm(exit_exam ~ entrance_centered + tutoring, - data = filter(tutoring_centered, - entrance_centered >= -10 & - entrance_centered <= 10)) -tidy(model_sans_instrument) -``` - -Here, the coefficient for `tutoringTRUE` shows the size of the jump, which is 11.5. This means that participating in the tutoring program *causes* an increase of 11.5 points on the final exam for people in the bandwidth. - -**BUT THIS IS WRONG.** This is *not* a sharp discontinuity, so we can't actually do this. Instead, we need to run a 2SLS model that includes our instrument in the first stage, which will then remove the endogeneity built into participation in the program. We'll estimate this set of models: - -$$ -\begin{aligned} -\widehat{\text{Tutoring program}} &= \gamma_0 + \gamma_1 \text{Entrance exam score}_\text{centered} + \gamma_2 \text{Below cutoff} + \omega \\ -\text{Exit exam} &= \beta_0 + \beta_1 \text{Entrance exam score}_\text{centered} + \beta_2 \widehat{\text{Tutoring program}} + \epsilon -\end{aligned} -$$ - -We could manually run the first stage model, generate predicted `tutoring` and then use those predicted values in the second stage model [like we did in the instrumental variables example](/example/iv.qmd), but that's tedious and nobody wants to do all that work. We'll use `iv_robust()` from the **estimatr** package instead. - -```{r model-fuzzy} -model_fuzzy <- iv_robust( - exit_exam ~ entrance_centered + tutoring | entrance_centered + below_cutoff, - data = filter(tutoring_centered, entrance_centered >= -10 & entrance_centered <= 10) -) -tidy(model_fuzzy) -``` - -Based on this model, using `below_cutoff` as an instrument, we can see that the coefficient for `tutoringTRUE` is different now! It's 9.74, which means that the tutoring program *causes* an average increase of 9.74 points on the final exam **for compliers in the bandwidth**. - -Notice that last caveat. Because we're working with regression discontinuity, we're estimating a local average treatment effect (LATE) for people in the bandwidth. Because we're working with instrumental variables, we're estimating the LATE for compliers only. That means our fuzzy regression discontinuity result here is *doubly robust*. - -If we compare this fuzzy result to the sharp result, we can see a sizable difference: - -```{r show-fuzzies, warning=FALSE} -# gof_omit here will omit goodness-of-fit rows that match any of the text. This -# means 'contains "IC" OR contains "Low" OR contains "Adj" OR contains "p.value" -# OR contains "statistic" OR contains "se_type"'. Basically we're getting rid of -# all the extra diagnostic information at the bottom -modelsummary(list("No instrument (wrong)" = model_sans_instrument, - "Fuzzy RD (bw = 10)" = model_fuzzy), - gof_omit = "IC|Log|Adj|p\\.value|statistic|se_type", - stars = TRUE) %>% - # Add a background color to row 5 - row_spec(5, background = "#F5ABEA") -``` - -We can (and should!) [do all the other things that we talked about in the regression discontinuity example](/example/rdd.qmd#parametric-estimation), like modifying the bandwidth, adding polynomial terms, and so forth to see how robust the finding is. But we won't do any of that here. - -### Fuzzy nonparametric estimation - -We can also use nonparametric methods to measure the size of the fuzzy gap at the cutoff. We'll use `rdrobust()` just like we [did in the sharp example](/example/rdd.qmd#nonparametric-estimation-1). The only difference is that we have to add one extra argument. That's it! - -To do fuzzy estimation with `rdrobust()`, use the `fuzzy` argument to specify the treatment column (or `tutoring` in our case). **Importantly** (and confusingly! this took me waaaaay too long to figure out!), you ***do not*** need to specify an instrument (or even create one!). All you need to specify is the column that indicates treatment status—`rdrobust()` will do all the above/below-the-cutoff instrument stuff behind the scenes for you. - -```{r rdrobust-fuzzy} -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, fuzzy = tutoring$tutoring) %>% - summary() -``` - -That's all! Using nonparametric methods, with a triangular kernel and a bandwidth of ±12.96, the causal effect of the tutoring program for compliers in the bandwidth is 9.683. - -We can (and should!) [do all the other nonparametric robustness checks that we talked about in the regression discontinuity example](/example/rdd.qmd#nonparametric-estimation), like modifying the bandwidth (ideal, half, double) and messing with the kernel (uniform, triangular, Epanechnikov) to see how robust the finding is. But again, we won't do any of that here. diff --git a/example/rdd.qmd b/example/rdd.qmd deleted file mode 100644 index 6039daeb..00000000 --- a/example/rdd.qmd +++ /dev/null @@ -1,405 +0,0 @@ ---- -title: "Regression discontinuity" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -options(dplyr.summarise.inform = FALSE) -``` - -## Video walk-through - -If you want to follow along with this example, you can download the data below: - -- [{{< fa table >}} `tutoring_program.csv`](/files/data/generated_data/tutoring_program.csv) - -:::{.callout-warning} -**Important**: The results will be slightly different here than they were in the video. That's because in the data I used in the video, I didn't round any values, so people could score a 71.8392402 on the entrance exam, which is kind of an excessive number of decimals. In this data, I rounded everything to one decimal point (e.g. 71.8), so the gaps and lines will be a tiny bit different here. -::: - -```{r show-youtube-list, echo=FALSE, results="asis"} -source(here::here("R", "youtube-playlist.R")) - -playlist_id <- "PLS6tnpTr39sFCr8amjT2Ld_FE34i26a3S" - -video_details <- tibble::tribble( - ~youtube_id, ~title, - "8CayGMcJoLY", "Getting started", - "ViDChprm2IY", "Sharp or fuzzy?", - "hqPVIt-72fY", "Checking for manipulation", - "yYqO22l_jgc", "Finding discontinuity in outcome", - "Por8Rd9QuBk", "Measuring the gap parametrically", - "lfBkAZLX_Z4", "Measuring the gap nonparametrically" -) - -youtube_list(video_details, playlist_id, example = TRUE) -``` - -## Program background - -In this hypothetical example, students take an entrance exam at the beginning of a school year. Those who score 70 or below are automatically enrolled in a free tutoring program and receive assistance throughout the year. At the end of the school year, students take a final test, or exit exam (with a maximum of 100 points) to measure how much they learned overall. Remember, this is a hypothetical example and tests like this don't really exist, but just go with it. - -You have a dataset with four columns in it: - -- `id`: The ID of the student -- `entrance_exam`: The student's entrance exam score (out of 100) -- `exit_exam`: The student's exit exam score (out of 100) -- `tutoring`: An indicator variable showing if the student was enrolled in the tutoring program - - -## Load and clean data - -First, let's download the dataset (if you haven't already), put in a folder named `data`, and load it: - -- [{{< fa table >}} `tutoring_program.csv`](/files/data/generated_data/tutoring_program.csv) - -```{r load-libraries, message=FALSE, warning=FALSE} -library(tidyverse) # ggplot(), %>%, mutate(), and friends -library(broom) # Convert models to data frames -library(rdrobust) # For robust nonparametric regression discontinuity -library(rddensity) # For nonparametric regression discontinuity density tests -library(modelsummary) # Create side-by-side regression tables -``` - -```{r load-data-real, include=FALSE} -tutoring <- read_csv(here::here("files", "data", "generated_data", "tutoring_program.csv")) -``` - -```{r load-data-fake, eval=FALSE} -# Load the data. -# It'd be a good idea to click on the "tutoring" object in the Environment -# panel in RStudio to see what the data looks like after you load it -tutoring <- read_csv("data/tutoring_program.csv") -``` - -## Step 1: Determine if process of assigning treatment is rule-based - -In order to join the tutoring program, students have to score 70 points or lower on the entrance exam. Students who score higher than 70 are not eligible for the program. Since we have a clear 70-point rule, we can assume that the process of participating in the tutoring program is rule-based. - - -## Step 2: Determine if the design is fuzzy or sharp - -Since we know that the program was applied based on a rule, we next want to figure out how strictly the rule was applied. The threshold was 70 points on the test—did people who scored 68 slip through bureaucratic cracks and not participate, or did people who scored 73 sneak into the program? The easiest way to check this is with a graph, and we can get exact numbers with a table. - -```{r check-fuzzy-sharp} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring, color = tutoring)) + - # Make points small and semi-transparent since there are lots of them - geom_point(size = 0.5, alpha = 0.5, - position = position_jitter(width = 0, height = 0.25, seed = 1234)) + - # Add vertical line - geom_vline(xintercept = 70) + - # Add labels - labs(x = "Entrance exam score", y = "Participated in tutoring program") + - # Turn off the color legend, since it's redundant - guides(color = "none") -``` - -This looks pretty sharp—it doesn't look like people who scored under 70 participated in the program. We can verify this with a table. There are no people where `entrance_exam` is greater than 70 and `tutoring` is false, and no people where `entrance_exam` is less than 70 and `tutoring` is true. - -```{r fuzzy-sharp-table} -tutoring %>% - group_by(tutoring, entrance_exam <= 70) %>% - summarize(count = n()) -``` - -This is thus a sharp design. - - -## Step 3: Check for discontinuity in running variable around cutpoint - -Next we need to see if there was any manipulation in the running variable—maybe lots of people bunched up around 70 because of how the test was graded (i.e. students wanted to get into the program, so they purposely did poorly on the exam to get under 70). We can do this a couple different ways. First, we'll make a histogram of the running variable (test scores) and see if there are any big jumps around the threshold: - -```{r check-running-discontinuity} -ggplot(tutoring, aes(x = entrance_exam, fill = tutoring)) + - geom_histogram(binwidth = 2, color = "white", boundary = 70) + - geom_vline(xintercept = 70) + - labs(x = "Entrance exam score", y = "Count", fill = "In program") -``` - -Here it doesn't look like there's a jump around the cutoff—there's a tiny visible difference between the height of the bars right before and right after the 70-point threshold, but it seems to follow the general shape of the overall distribution. We can check to see if that jump is statistically significant with a McCrary density test (explained in [section 6.3.1 of *Causal Inference: The Mixtape*](https://mixtape.scunning.com/ch5.html#mccrarys-density-test)). This puts data into bins like a histogram, and then plots the averages and confidence intervals of those bins. If the confidence intervals of the density lines don't overlap, then there's likely something systematically wrong with how the test was scored (i.e. too many people getting 69 vs 71). If the confidence intervals overlap, there's not any significant difference around the threshold and we're fine. - -First we use `rddensity()` to do the actual statistical test. You need to feed it two things: the running variable and the cutoff. - -```{r check-running-discontinuity-mcrary-fake, eval=FALSE} -# Notice this tutoring$entrance_exam syntax. This is one way for R to access -# columns in data frames---it means "use the entrance_exam column in the -# tutoring data frame". The general syntax for it is data_frame$column_name -test_density <- rddensity(tutoring$entrance_exam, c = 70) -summary(test_density) -``` - -```{r check-running-discontinuity-mcrary-real, echo=FALSE, warning=FALSE} -test_density <- rddensity(tutoring$entrance_exam, c = 70) -x <- capture.output(summary(test_density)) -cat(x[2:18], sep = "\n") -``` - -We can then plot that density test: - -```{r plot-running-discontinuity-mcrary, warning=FALSE} -# The syntax for rdplotdensity is kinda wonky here. You have to feed it the -# rddensity() test, and then you have to specify x, which is your running -# variable (again!). The type argument tells the plot to show both points and -# lines---without it, it'll only show lines. -# -# Finally, notice how I assigned the output of rdplotdensity to a variable named -# plot_density_test. In theory, this should make it show nothing---all the -# output should go to that object. Because of a bug in rdplotdensity, though, it -# will show a plot automatically even if assigning it to a variable. If we don't -# assign it to a variable you'll see two identical plots when knitting, which is -# annoying. So we save it as a variable to hide the output, but get the output -# for a single plot anyway. Ugh. -plot_density_test <- rdplotdensity(rdd = test_density, - X = tutoring$entrance_exam, - type = "both") # This adds both points and lines -``` - -There's a lot of output here, but what we care about is the line that starts with "Robust", which shows the t-test for the difference in the two points on either side of the cutpoint in the plot. Notice in the plot that the confidence intervals overlap substantially. The p-value for the size of that overlap is 0.5809, which is a lot larger than 0.05, so we don't have good evidence that there's a significant difference between the two lines. Based on this plot and the t-statistic, we're probably safe in saying that there's no manipulation or bunching. - - -## Step 4: Check for discontinuity in outcome across running variable - -Now that we know this is a sharp design and that there's no bunching of test scores around the 70-point threshold, we can finally see if there's a discontinuity in final scores based on participation in the tutoring program. Plot the running variable on the x-axis, the outcome variable on the y-axis, and color the points by whether they participated in the program. - -```{r check-outcome-discontinuity, message=FALSE} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, color = tutoring)) + - geom_point(size = 0.5, alpha = 0.5) + - # Add a line based on a linear model for the people scoring 70 or less - geom_smooth(data = filter(tutoring, entrance_exam <= 70), method = "lm") + - # Add a line based on a linear model for the people scoring more than 70 - geom_smooth(data = filter(tutoring, entrance_exam > 70), method = "lm") + - geom_vline(xintercept = 70) + - labs(x = "Entrance exam score", y = "Exit exam score", color = "Used tutoring") -``` - -Based on this graph, there's a clear discontinuity! It looks like participation in the tutoring program boosted final test scores. - - -## Step 5: Measure the size of the effect - -There's a discontinuity, but how big is it? And is it statistically significant? - -We can check the size two different ways: parametrically (i.e. using `lm()` with specific parameters and coefficients), and nonparametrically (i.e. not using `lm()` or any kind of straight line and instead drawing lines that fit the data more precisely). We'll do it both ways. - -### Parametric estimation - -First we'll do it parametrically by using linear regression. Here we want to explain the variation in final scores based on the entrance exam score and participation in the tutoring program: - -$$ -\text{Exit exam} = \beta_0 + \beta_1 \text{Entrance exam score}_\text{centered} + \beta_2 \text{Tutoring program} + \epsilon -$$ - -To make it easier to interpret coefficients, we can center the entrance exam column so that instead of showing the actual test score, it shows how many points above or below 70 the student scored. That way we can use the coefficient for `tutoring` for the causal effect. - -```{r simple-model} -tutoring_centered <- tutoring %>% - mutate(entrance_centered = entrance_exam - 70) - -model_simple <- lm(exit_exam ~ entrance_centered + tutoring, - data = tutoring_centered) -tidy(model_simple) -``` - -Here's what these coefficients mean: - -- $\beta_0$: This is the intercept. Because we centered entrance exam scores, it shows the average exit exam score at the 70-point threshold. People who scored 70.001 points on the entrance exam score an average of 59.4 points on the exit exam. (Another way to think about this is that it shows the predicted exit exam score when `entrance_centered` is 0 (i.e. 70) and when `tutoring` is `FALSE`.) -- $\beta_1$: This is the coefficient for `entrance_centered`. For every point above 70 that people score on the entrance exam, they score 0.51 points higher on the exit exam. We don't really care that much about this number. -- $\beta_2$: This is the coefficient for the tutoring program, and *this is the one we care about the most*. This is the shift in intercept when `tutoring` is true, or the difference between scores at the threshold. Participating in the tutoring program increases exit exam scores by 10.8 points. - -One advantage to using a parametric approach is that you can include other covariates like demographics. You can also use polynomial regression and include terms like `entrance_centered²` or `entrance_centered³` or even `entrance_centered⁴` to make the line fit the data as close as possible. - -Here we fit the model to the entire data, but in real life, we care most about the observations right around the threshold, which means this model is actually ***wrong***. Scores that are super high or super low shouldn't really influence our effect size, since we only care about the people who score just barely under and just barely over 70. - -We can fit the same model but restrict it to people within a smaller window, or bandwidth, like ±10 points, or ±5 points: - -```{r different-bandwidth-models} -model_bw_10 <- lm(exit_exam ~ entrance_centered + tutoring, - data = filter(tutoring_centered, - entrance_centered >= -10 & - entrance_centered <= 10)) -tidy(model_bw_10) - -model_bw_5 <- lm(exit_exam ~ entrance_centered + tutoring, - data = filter(tutoring_centered, - entrance_centered >= -5 & - entrance_centered <= 5)) -tidy(model_bw_5) -``` - -We can compare all these models simultaneously with `modelsummary()`: - -```{r all-models-fake, eval=FALSE} -modelsummary(list("Full data" = model_simple, - "Bandwidth = 10" = model_bw_10, - "Bandwidth = 5" = model_bw_5)) -``` - -```{r all-models-real, echo=FALSE, warning=FALSE} -gm <- modelsummary::gof_map %>% - mutate(omit = !(raw %in% c("nobs", "r.squared", "adj.r.squared"))) - -modelsummary(list("Full data" = model_simple, - "Bandwidth = 10" = model_bw_10, - "Bandwidth = 5" = model_bw_5), - gof_map = gm, stars = TRUE) %>% - kableExtra::row_spec(5, background = "#F6D645") %>% - kableExtra::row_spec(6, extra_css = "border-bottom: 1px solid") -``` - -The effect of `tutoring` differs a lot across these different models, from 9.1 to 10.8. Which one is right? I don't know. Definitely not the full data one. - -Also notice how much the sample size (N) changes across the models. As you narrow the bandwidth, you look at fewer and fewer observations. - -```{r different-lm-bandwidths, message=FALSE} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, color = tutoring)) + - geom_point(size = 0.5, alpha = 0.2) + - # Add lines for the full model (model_simple) - geom_smooth(data = filter(tutoring, entrance_exam <= 70), - method = "lm", se = FALSE, linetype = "dotted", size = 1) + - geom_smooth(data = filter(tutoring, entrance_exam > 70), - method = "lm", se = FALSE, linetype = "dotted", size = 1) + - # Add lines for bandwidth = 10 - geom_smooth(data = filter(tutoring, entrance_exam <= 70, entrance_exam >= 60), - method = "lm", se = FALSE, linetype = "dashed", size = 1) + - geom_smooth(data = filter(tutoring, entrance_exam > 70, entrance_exam <= 80), - method = "lm", se = FALSE, linetype = "dashed", size = 1) + - # Add lines for bandwidth = 5 - geom_smooth(data = filter(tutoring, entrance_exam <= 70, entrance_exam >= 65), - method = "lm", se = FALSE, size = 2) + - geom_smooth(data = filter(tutoring, entrance_exam > 70, entrance_exam <= 75), - method = "lm", se = FALSE, size = 2) + - geom_vline(xintercept = 70) + - # Zoom in - coord_cartesian(xlim = c(50, 90), ylim = c(55, 75)) + - labs(x = "Entrance exam score", y = "Exit exam score", color = "Used tutoring") -``` - -### Nonparametric estimation - -Instead of using linear regression to measure the size of the discontinuity, we can use nonparametric methods. Essentially this means that R will not try to fit a straight line to the data—instead it'll curve around the points and try to fit everything as smoothly as possible. - -The `rdrobust()` function makes it really easy to measure the gap at the cutoff with nonparametric estimation. Here's the simplest version: - -```{r rdrobust-normal} -# Notice how we have to use the tutoring$exit_exam syntax here. Also make sure -# you set the cutoff with c -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70) %>% - summary() -``` - -There are a few important pieces of information to look at in this output: - -- The thing you care about the most is the actual effect size. This is the coefficient in the table at the bottom, indicated with the "Conventional" method. Here it's -8.578, which means the tutoring program causes an 8-point change in exit exam scores. The table at the bottom also includes standard errors, p-values, and confidence intervals for the coefficient, both normal estimates (conventional) and robust estimates (robust). According to both types of estimates, this 8 point bump is statistically significant (p < 0.001; the 95% confidence interval definitely doesn't ever include 0). -- Importantly, notice that the coefficient here is actually negative (-8.578), while our previous parametric estimates were all positive. That does *not* mean that the program causes a drop in test scores. That negative value is just a side effect of how `rdrobust()` measures the gap. It looks at the value of the treatment group right before the threshold and then shows that test scores drop when shifting to the control group (while before we talked about the opposite story: test scores increase as you move from the control group to the treatment group). There's no way to flip the sign within `rdrobust()`, so you need to look at the plot and see what the gap is really doing. -- The model used a bandwidth of 9.969 (`BW est. (h)` in the output), which means it only looked at people with test scores of 70 ± 10. It decided on this bandwidth automatically, but you can change it to whatever you want. -- The model used a triangular kernel. This is the most esoteric part of the model—the kernel decides how much weight to give to observations around the cutoff. Test scores like 69.99 or 70.01 are extremely close to 70, so they get the most weight. Scores like 67 or 73 are a little further away so they matter less. Scores like 64 or 76 matter even less, so they get even less weight. You can use different kernels too, and [Wikipedia has a nice graphic showing the shapes of these different kernels](https://en.wikipedia.org/wiki/Kernel_(statistics)#Kernel_functions_in_common_use) and how they give different weights to observations at different distances. - -We can plot this nonparametric model with `rdplot()`. - -```{r rdplot-basic} -rdplot(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70) -``` - -Look at that 8.5 point jump at 70! Neat! - -Notice that the points here aren't actually the observations in the dataset. The `rdplot()` function makes bins of points (like a histogram) and then shows the average outcome within each bin. You can control how many bins are used in the x-axis with the `nbins` or `binselect` arguments in `rdplot()` (run `?rdplot` in your console to see all the possible options for plotting nonparametric discontinuities). - -:::{.callout-note} -**Side note**: `rdplot()` uses the same plotting system as `ggplot()`, so you can add layers like `labs()` or `geom_point()` or anything else, which is cool, but getting to that underlying `ggplot()` object is weird. To do it, store the results of `rdplot` as an object, like `asdf`, then use `asdf$rdplot` to access the plot: - -```{r eval=FALSE} -asdf <- rdplot(...) -asdf$rdplot + - labs(x = "Running variable", y = "Outcome variable") -``` - -You don't need to worry about all that for showing simple plots though! -::: - -By default, `rdrobust()` chooses the bandwidth size automatically based on fancy algorithms that economists have developed. You can use `rdbwselect()` to see what that bandwidth is, and if you include the `all = TRUE` argument, you can see a bunch of different potential bandwidths based on a bunch of different algorithms: - -```{r rdbwselect} -# This says to use the mserd version, which according to the help file for -# rdbwselect means "the mean squared error-optimal bandwidth selector for RD -# treatment effects". Sounds great. -rdbwselect(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70) %>% - summary() -``` - -What are the different possible bandwidths we could use? - -```{r rdbwselect-all} -rdbwselect(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70, all = TRUE) %>% - summary() -``` - -Phew. There are a lot here. The best one was `mserd`, or ±9.69. Some say ±7, others ±12, other are asymmetric and say -11.5 before and +10 after. Try a bunch of different bandwidths as part of your sensitivity analysis and see if your effect size changes substantially as a result. - -Another common approach to sensitivity analysis is to use the ideal bandwidth, twice the ideal, and half the ideal (so in our case 10, 20, and 5) and see if the estimate changes substantially. Use the `h` argument to specify your own bandwidth - -```{r rdrobust-different-bandwidths} -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70, h = 9.969) %>% - summary() - -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70, h = 9.969 * 2) %>% - summary() - -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70, h = 9.969 / 2) %>% - summary() -``` - -Here the coefficients change slightly: - -| Bandwidth | Effect size | -| :------------: | :---------: | -| 9.969 (ideal) | 8.578 | -| 19.938 (twice) | 9.151 | -| 4.984 (half) | 8.201 | - -You can also adjust the kernel. By default `rd_robust` uses a triangular kernel (more distant observations have less weight linearly), but you can switch it to Epanechnikov (more distant observations have less weight following a curve) or uniform (more distant observations have the same weight as closer observations; this is unweighted). - -```{r rdrobust-different-kernels} -# Non-parametric RD with different kernels -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, kernel = "triangular") %>% - summary() # Default - -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, kernel = "epanechnikov") %>% - summary() - -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, kernel = "uniform") %>% - summary() -``` - -Again, the coefficients change slightly: - -| Kernel | Effect size | -| :----------: | :---------: | -| Triangular | 8.578 | -| Epanechnikov | 8.389 | -| Uniform | 8.175 | - -Which one is best? ¯\\\_(ツ)\_/¯. All that really matters is that the size and direction of the effect doesn't change. It's still positive and it's still in the 8–9ish point range. - - -## Step 6: Compare all the effects - -We just estimated a ton of effect sizes. In real life you'd generally just report one of these as your final effect, but you'd run the different parametric and nonparametric models to check how reliable and robust your findings are. Here's everything we just found: - -| Method | Bandwidth | Kernel | Estimate | -|:-------------:|:---------:|:--------------------:|:--------:| -| Parametric | Full data | Unweighted | 10.8 | -| Parametric | 10 | Unweighted | 9.273 | -| Parametric | 5 | Unweighted | 9.122 | -| Nonparametric | 9.969 | Triangular | 8.578 | -| Nonparametric | 19.938 | Triangular | 9.151 | -| Nonparametric | 4.984 | Triangular | 8.201 | -| Nonparametric | 8.201 | Epanechnikov | 8.389 | -| Nonparametric | 7.346 | Uniform (unweighted) | 8.175 | - -In real life, I'd likely report the simplest one (row 4: nonparametric, automatic bandwidth, triangular kernel), but knowing how much the effect varies across model specifications is helpful. diff --git a/example/rstudio-tidyverse.qmd b/example/rstudio-tidyverse.qmd deleted file mode 100644 index c98b06c4..00000000 --- a/example/rstudio-tidyverse.qmd +++ /dev/null @@ -1,102 +0,0 @@ ---- -title: "R, RStudio, and the tidyverse" ---- - -## Part 1: The basics of R and dplyr - -For this week's problem set, you need to work through a few of RStudio's introductory primers. You'll do these in your browser and type code and see results there. - -You'll learn some of the basics of R, as well as some powerful methods for manipulating data with the **dplyr** package. - -Complete these primers. It seems like there are a lot, but they're short and go fairly quickly (especially as you get the hang of the syntax). Also, **I have no way of seeing what you do or what you get wrong or right**, and that's totally fine! If you get stuck and want to skip some (or if it gets too easy), go right ahead and skip them! - -- **The Basics** - - [Visualization Basics](https://rstudio.cloud/learn/primers/1.1) - - [Programming Basics](https://rstudio.cloud/learn/primers/1.2) -- **Work with Data** - - [Working with Tibbles](https://rstudio.cloud/learn/primers/2.1) - - [Isolating Data with dplyr](https://rstudio.cloud/learn/primers/2.2) - - [Deriving Information with dplyr](https://rstudio.cloud/learn/primers/2.3) -- **Visualize Data** - - [Exploratory Data Analysis](https://rstudio.cloud/learn/primers/3.1) - - [Bar Charts](https://rstudio.cloud/learn/primers/3.2) - - [Histograms](https://rstudio.cloud/learn/primers/3.3) - - [Boxplots and Counts](https://rstudio.cloud/learn/primers/3.4) - - [Scatterplots](https://rstudio.cloud/learn/primers/3.5) - - [Line plots](https://rstudio.cloud/learn/primers/3.6) - - [Overplotting and Big Data](https://rstudio.cloud/learn/primers/3.7) - - [Customize Your Plots](https://rstudio.cloud/learn/primers/3.8) -- **Tidy Your Data** - - [Reshape Data](https://rstudio.cloud/learn/primers/4.1) - -:::{.callout-note} -Recent versions of **tidyr** have renamed these core functions: `gather()` is now `pivot_longer()` and `spread()` is now `pivot_wider()`. The syntax for these `pivot_*()` functions is *slightly* different from what it was in `gather()` and `spread()`, so you can't just replace the names. Fortunately, both `gather()` and `spread()` still work and won't go away for a while, so you can still use them as you learn about reshaping and tidying data. It would be worth learning how the newer `pivot_*()` functions work, eventually, though ([see here for examples](https://tidyr.tidyverse.org/articles/pivot.html)). -::: - -The content from these primers comes from the (free and online!) book [*R for Data Science* by Garrett Grolemund and Hadley Wickham](https://r4ds.had.co.nz/). I highly recommend the book as a reference and for continuing to learn and use R in the future. - - -## Part 2: Getting familiar with RStudio - -The RStudio primers you just worked through are a great introduction to writing and running R code, but you typically won't type code in a browser when you work with R. Instead, you'll use a nicer programming environment like RStudio, which lets you type and save code in scripts, run code from those scripts, and see the output of that code, all in the same program. - -To get familiar with RStudio, watch this video (it's from PMAP 8921, but the content still applies here): - -
    - -
    - - -## Part 3: RStudio Projects - -One of the most powerful and useful aspects of RStudio is its ability to manage projects. - -When you first open R, it is "pointed" at some folder on your computer, and anything you do will be relative to that folder. The technical term for this is a "working directory." - -When you first open RStudio, look in the area right at the top of the Console pane to see your current working directory. Most likely you'll see something cryptic: `~/` - -```{r working-directory, echo=FALSE, out.width="50%"} -knitr::include_graphics("/files/img/example/working-directory.png", error = FALSE) -``` - -That tilde sign (`~`) is a shortcut that stands for your user directory. On Windows this is `C:\Users\your_user_name\`; on macOS this is `/Users/your_user_name/`. With the working directory set to `~/`, R is "pointed" at that folder, and anything you save will end up in that folder, and R will expect any data that you load to be there too. - -It's always best to point R at some other directory. If you don't use RStudio, you need to manually set the working directory to where you want it with `setwd()`, and many R scripts in the wild include something like `setwd("C:\\Users\\bill\\Desktop\\Important research project")` at the beginning to change the directory. **THIS IS BAD THOUGH** ([see here for an explanation](https://www.tidyverse.org/blog/2017/12/workflow-vs-script/)). If you ever move that directory somewhere else, or run the script on a different computer, or share the project with someone, the path will be wrong and nothing will run and you will be sad. - -The best way to deal with working directories with RStudio is to use RStudio Projects. These are special files that RStudio creates for you that end in a `.Rproj` extension. When you open one of these special files, a new RStudio instance will open up and be pointed at the correct directory automatically. If you move the folder later or open it on a different computer, it will work just fine and you will not be sad. - -[Read this super short chapter on RStudio projects to learn how to create and use them](https://r4ds.had.co.nz/workflow-projects.html#rstudio-projects) - -In general, you can create a new project by going to File > New Project > New Directory > Empty Project, which will create a new folder on your computer that is empty except for a single `.Rproj` file. Double click on that file to open an RStudio instance that is pointed at the correct folder. - - -## Part 4: Getting familiar with R Markdown - -To ensure that the analysis and graphics you make are reproducible, you'll do the majority of your work in this class using **R Markdown** files. - -Do the following things: - -1. Watch this video: - -
    - -
    - -  - -2. Skim through the content at these pages: - - - [Using Markdown](/resource/markdown.qmd) - - [Using R Markdown](/resource/rmarkdown.qmd) - - [How it Works](http://rmarkdown.rstudio.com/lesson-2.html) - - [Code Chunks](http://rmarkdown.rstudio.com/lesson-3.html) - - [Inline Code](http://rmarkdown.rstudio.com/lesson-4.html) - - [Markdown Basics](http://rmarkdown.rstudio.com/lesson-8.html) (The [R Markdown Reference Guide](https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf) is super useful here.) - - [Output Formats](http://rmarkdown.rstudio.com/lesson-9.html) - -3. Watch this video (again, it's from PMAP 8921, but the content works for this class): - -
    - -
    - diff --git a/example/standard-errors.qmd b/example/standard-errors.qmd deleted file mode 100644 index f559db71..00000000 --- a/example/standard-errors.qmd +++ /dev/null @@ -1,358 +0,0 @@ ---- -title: "Robust and clustered standard errors with R" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, fig.align = "center", - fig.retina = 3, collapse = TRUE) -set.seed(1234) -options("digits" = 2, "width" = 150) -``` - -As you read in [chapter 13.3 of *The Effect*](https://theeffectbook.net/ch-StatisticalAdjustment.html#your-standard-errors-are-probably-wrong), your standard errors in regressions are probably wrong. And as you read [in the article by Guido Imbens](https://doi.org/10.1257/jep.35.3.157), we want accurate standard errors because we should be focusing on confidence intervals when reporting our findings because nobody actually cares about or understands p-values. - -So why are our standard errors wrong, and how do we fix them? - -First, let's make a model that predicts penguin weight based on bill length, flipper length, and species. We'll use our regular old trusty `lm()` for an OLS model with regular standard errors. - -```{r libraries, warning=FALSE, message=FALSE} -library(tidyverse) # For ggplot, dplyr, and friends -library(broom) # Convert model objects into data frames -library(palmerpenguins) # Our favorite penguin data - -# Get rid of rows with missing values -penguins <- penguins %>% drop_na(sex) -``` - -```{r model-basic} -model1 <- lm(body_mass_g ~ bill_length_mm + flipper_length_mm + species, - data = penguins) -tidy(model1, conf.int = TRUE) -``` - -A 1 mm increase in bill length is associated with a 60.1 g increase in penguin weight, on average. This is significantly significant and different from zero (p < 0.001), and the confidence interval ranges between 45.9 and 74.3, which means that we're 95% confident that this range captures the true population parameter (this is [a frequentist interval](/resource/bayes.qmd#frequentist-confidence-intervals) since we didn't do any Bayesian stuff, so we have to talk about the confidence interval like a net and use awkward language). - -This confidence interval is the coefficient estimate ± (1.96 × the standard error) (or 60.1 ± (1.96 × 7.21)), so it's entirely dependent on the accuracy of the standard error. One of the assumptions of this estimate and its corresponding standard error is that the residuals of the regression (i.e. the distance from the predicted values and the actual values—[remember this plot from Session 2](/slides/02-slides.html#23)) *must not have any patterns in them*. The official name for this assumption is that the errors in an OLS must be **homoskedastic** (or exhibit **homoskedasticity**). If errors are **heteroskedastic**—if the errors aren't independent from each other, if they aren't normally distributed, and if there are visible patterns in them—your standard errors (and confidence intervals) will be wrong. - -## Checking for heteroskedasticity - -How do you know if your errors are homoskedastic of heterosketastic though? - -The easiest way for me (and most people probably) is to visualize the residuals and see if there are any patterns. First, we can use `augment()` to calculate the residuals for each observation in the original penguin data and then make a scatterplot that puts the actual weight on the x-axis and the residuals on the y-axis. - -```{r check-residuals-1, message=FALSE} -# Plug the original data into the model and find fitted values and -# residuals/errors -fitted_data <- augment(model1, data = penguins) - -# Look at relationship between fitted values and residuals -ggplot(fitted_data, aes(x = .fitted, y = .resid)) + - geom_point() + - geom_smooth(method = "lm") -``` - -There seems to be two clusters of points here, which is potentially a sign that the errors aren't independent of each other—there might be a systematic pattern in the errors. We can confirm this if we color the points by species: - -```{r check-residuals-2, message=FALSE} -ggplot(fitted_data, aes(x = .fitted, y = .resid)) + - geom_point(aes(color = species)) + - geom_smooth(method = "lm") -``` - -And there are indeed species-based clusters within the residuals! We can see this if we look at the distribution of the residuals too. For OLS assumptions to hold—and for our standard errors to be correct—this should be normally distributed: - -```{r residual-distribution} -ggplot(fitted_data, aes(x = .resid)) + - geom_histogram(binwidth = 100, color = "white", boundary = 3000) -``` - -This looks fairly normal, though there are some more high residual observations (above 500) than we'd expect. That's likely because the data isn't actually heteroskedastic—it's just clustered, and this clustering structure within the residuals means that our errors (and confidence intervals and p-values) are going to be wrong. - -In this case the residual clustering creates a fairly obvious pattern. Just for fun, let's ignore the Gentoos and see what residuals without clustering can look like. The residuals here actually look fairly random and pattern-free: - -```{r model-plot-no-gentoo, message=FALSE, warning=FALSE} -model_no_gentoo <- lm(body_mass_g ~ bill_length_mm + flipper_length_mm + species, - data = filter(penguins, species != "Gentoo")) - -fitted_sans_gentoo <- augment(model_no_gentoo, - filter(penguins, species != "Gentoo")) - -ggplot(fitted_sans_gentoo, aes(x = .fitted, y = .resid)) + - geom_point() + - geom_smooth(method = "lm") -``` - -We can do a neat little visual test for this. Let's shuffle the residuals a bunch of times and make scatterplots with those shuffled values. If we can't spot the actual residual plot among the shuffled ones, we can be fairly confident that there aren't any patterns. [The **nullabor** package](https://dicook.github.io/nullabor/) makes this easy, allowing us to create a lineup of shuffled plots with the real residual plot mixed in there somewhere. - -```{r resid-shuffled} -library(nullabor) - -set.seed(1234) # Shuffle these the same way every time - -shuffled_residuals <- lineup(null_lm(body_mass_g ~ bill_length_mm + flipper_length_mm + species, - method = "rotate"), - true = fitted_sans_gentoo, - n = 9) - -ggplot(shuffled_residuals, aes(x = .fitted, y = .resid)) + - geom_point() + - facet_wrap(vars(.sample)) -``` - -Which one is the actual residual plot? There's no easy way to tell. That cryptic `decrypt(...)` thing is a special command that will tell us which plot is the correct one: - -```{r} -decrypt("sD0f gCdC En JP2EdEPn ZZ") -``` - -The fact that we can't tell is a good sign that the residuals are homoskedastic and independent and that we don't need to worry much about correcting the errors. - -```{r resid-shuffled-old, include=FALSE, eval=FALSE} -shuffled_plot_data <- tibble(id = 1:8) %>% - # Make 9 shuffled datasets - mutate(plot_data = map(id, ~{ - fitted_sans_gentoo %>% - # Shuffle these two columns - mutate(.resid = sample(.resid), - .fitted = sample(.fitted)) %>% - select(.fitted, .resid) - })) %>% - # Add the actual dataset - bind_rows(tribble(~id, ~plot_data, ~actual, - 9, select(fitted_sans_gentoo, .fitted, .resid), TRUE)) %>% - # Shuffle all these so that #9 isn't always the actual data - slice_sample(prop = 1) %>% - mutate(id = 1:9) %>% - unnest(plot_data) - -ggplot(shuffled_plot_data, aes(x = .fitted, y = .resid)) + - geom_point() + - facet_wrap(vars(id), nrow = 3) -``` - - -## Adjusting standard errors - -However, often you will see patterns or clusters in the residuals, which means you need to make some adjustments to the errors to ensure they're accurate. In [chapter 13.3 of *The Effect*](https://theeffectbook.net/ch-StatisticalAdjustment.html#your-standard-errors-are-probably-wrong) you read about a bunch of different mathy ways to make these adjustments, and people get PhDs and write whole dissertations on new fancy ways to adjust standard errors. I'm not super interested in the deeper mathy mechanics of error adjustment, and most people aren't either, so statistical software packages generally try to make it easy to make these adjustments without needing to think about the deeper math. - -If you're familiar with Stata, you can get robust standard errors like this: - -```r -# Run this in R first to export the penguins data as a CSV -write_csv("~/Desktop/penguins.csv") -``` - -```text -/* Stata stuff */ - -import delimited "~/Desktop/penguins.csv", clear - -encode species, generate(species_f) /* Make species a factor /* - -reg body_mass_g bill_length_mm flipper_length_mm i.species_f, robust - -/* -Linear regression Number of obs = 333 - F(4, 328) = 431.96 - Prob > F = 0.0000 - R-squared = 0.8243 - Root MSE = 339.57 ------------------------------------------------------------------------------------ - | Robust - body_mass_g | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------+---------------------------------------------------------------- - bill_length_mm | 60.11733 6.429263 9.35 0.000 47.46953 72.76512 -flipper_length_mm | 27.54429 3.054304 9.02 0.000 21.53579 33.55278 - | - species_f | - Chinstrap | -732.4167 75.396 -9.71 0.000 -880.7374 -584.096 - Gentoo | 113.2541 88.27028 1.28 0.200 -60.39317 286.9014 - | - _cons | -3864.073 500.7276 -7.72 0.000 -4849.116 -2879.031 ------------------------------------------------------------------------------------ -*/ -``` - -And you can get clustered robust standard errors like this: - -```text -reg body_mass_g bill_length_mm flipper_length_mm i.species_f, cluster(species_f) - -/* -Linear regression Number of obs = 333 - F(1, 2) = . - Prob > F = . - R-squared = 0.8243 - Root MSE = 339.57 - (Std. Err. adjusted for 3 clusters in species_f) ------------------------------------------------------------------------------------ - | Robust - body_mass_g | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------+---------------------------------------------------------------- - bill_length_mm | 60.11733 12.75121 4.71 0.042 5.253298 114.9814 -flipper_length_mm | 27.54429 4.691315 5.87 0.028 7.359188 47.72939 - | - species_f | - Chinstrap | -732.4167 116.6653 -6.28 0.024 -1234.387 -230.4463 - Gentoo | 113.2541 120.5977 0.94 0.447 -405.6361 632.1444 - | - _cons | -3864.073 775.9628 -4.98 0.038 -7202.772 -525.3751 ------------------------------------------------------------------------------------ -*/ -``` - -Basically add `, robust` (or even just `,r`) or `cluster(whatever)` to the end of the regression command. - -Doing this in R is a little trickier since our favorite standard `lm()` command doesn't have built-in support for robust or clustered standard errors, but there are some extra packages that make it really easy to do. Let's look at three different ways. - - -### **sandwich** and `coeftest()` - -One way to adjust errors is to use [the **sandwich** package](http://sandwich.r-forge.r-project.org/articles/sandwich.html), which actually handles the standard error correction behind the scenes for most of the other approaches we'll look at. **sandwich** comes with a bunch of standard error correction functions, like `vcovHC()` for heteroskedasticity-consistent (HC) errors, `vcovHAC()` for heteroskedastiticy- and autocorrelation-consistent (HAC) errors, and `vcovCL()` for clustered errors ([see their website](http://sandwich.r-forge.r-project.org/articles/sandwich.html) for all the different ones). Within each of these different functions, there are different types (again, things that fancy smart statisticians figure out). If you want to replicate Stata's `, robust` option exactly, you can use `vcovHC(type = "HC1")`. - -You can use these correction functions as an argument to the `coeftest()` function, the results of which conveniently work with `tidy()` and other **broom** functions. Here's how we can get robust standard errors for our original penguin model (`model1`): - -```{r robust-coeftest, warning=FALSE, message=FALSE} -library(sandwich) # Adjust standard errors -library(lmtest) # Recalculate model errors with sandwich functions with coeftest() - -# Robust standard errors with lm() -model1_robust <- coeftest(model1, - vcov = vcovHC) - -# Stata's robust standard errors with lm() -model1_robust_stata <- coeftest(model1, - vcov = vcovHC, - type = "HC1") - -tidy(model1_robust) %>% filter(term == "bill_length_mm") - -tidy(model1_robust_stata) %>% filter(term == "bill_length_mm") -``` - -Those errors shrunk a little, likely because just using robust standard errors here isn't enough. Remember that there are clear clusters in the residuals (Gentoo vs. not Gentoo), so we'll actually want to cluster the errors by species. `vcovCL()` lets us do that: - -```{r robust-clustered-coeftest} -# Clustered robust standard errors with lm() -model1_robust_clustered <- coeftest(model1, - vcov = vcovCL, - type = "HC1", - cluster = ~species) - -tidy(model1_robust_clustered, conf.int = TRUE) %>% - filter(term == "bill_length_mm") -``` - -Those errors are huge now, and the confidence interval ranges from 35 to 85! That's because we're now accounting for the clustered structure in the errors. - -But we're still not getting the same results as the clustered robust errors from Stata (or as `feols()` and `lm_robust()` below). This is because the data we're working with here has a small number of clusters and `coeftest()`/`vcovCL()` doesn't deal with that automatically (but Stata, `feols()`, and `lm_robust()` all do—see [this section about it in the documentation for `feols()`](https://lrberge.github.io/fixest/articles/fixest_walkthrough.html#small-sample-correction-1)). To fix this, we need to specify the number of degrees of freedom in the `coeftest()` function. There are three species/clusters in this data, so the degrees of freedom is 1 less than that, or 2. - -```{r robust-clustered-coeftest-ssc} -# Clustered robust standard errors with lm(), correcting for small sample -model1_robust_clustered_corrected <- coeftest(model1, - vcov = vcovCL, - type = "HC1", - df = 2, # There are 3 species, so 3-1 = 2 - cluster = ~species) - -tidy(model1_robust_clustered_corrected, conf.int = TRUE) %>% - filter(term == "bill_length_mm") -``` - -There we go. Now we have *absolutely massive* confidence intervals ranging from 5 to 115. Who even knows what the true parameter is?! Our net probably caught it. - - -### **fixest** and `feols()` - -Standard error adjustment with the functions from **sandwich** and `coeftest()` works fine, but it requires multiple steps: (1) create a model with `lm()`, and (2) feed that model to `coeftest()`. It would be great if we could do that all at the same time in one command! Fortunately there are a few R packages that let us do this. - -The `feols()` function from the [**fixest** package](https://lrberge.github.io/fixest/) was designed for OLS models that have lots of fixed effects (i.e. indicator variables), and it handles lots of fixed effects really really fast. It can also handle instrumental variables (which [we'll get to later in the semester](/example/iv.qmd)). It's a fantastic way to run models in R. It uses the same formula syntax as `lm()`, but with one extra feature: you can put fixed effects (again, indicator variables) after a `|` to specify that the variables are actually fixed effects. This (1) speeds up model estimation, and (2) hides the fixed effects from `summary()` and `tidy()` output, which is super convenient if you're using something like county, state, or country fixed effects and you don't want to see dozens or hundreds of extra rows in the regression output. - -It includes an argument `vcov` for specifying how you want to handle the standard errors, and [you can use lots of different options](https://lrberge.github.io/fixest/articles/standard_errors.html). Here we'll make two models: one with heteroskedastic robust SEs (basically what Stata uses, or like `vcovHC()` in **sandwich**), and one with clustered robust standard errors (similar to `vcovCL()` in **sandwich**): - -```{r feols-errors} -library(fixest) # Run models with feols() - -# Because species comes after |, it's being treated as a fixed effect -model_feols_hetero <- feols(body_mass_g ~ bill_length_mm + flipper_length_mm | species, - vcov = "hetero", - data = penguins) - -tidy(model_feols_hetero) %>% filter(term == "bill_length_mm") - -model_feols_clustered <- feols(body_mass_g ~ bill_length_mm + flipper_length_mm | species, - cluster = ~ species, - data = penguins) - -tidy(model_feols_clustered, conf.int = TRUE) %>% filter(term == "bill_length_mm") -``` - -We get basically the same standard errors we did before with `coeftest(lm(), vcov = ...)`, only now we did it all in one step. - -### **estimatr** and `lm_robust()` - -The `lm_robust()` function in [the **estimatr** package](https://declaredesign.org/r/estimatr/articles/getting-started.html) also allows you to calculate robust standard errors in one step using the `se_type` argument. See the documentation for all the possible options. Here we can replicate Stata's standard errors by using `se_type = "stata"` (`se_type = "HC1"` would do the same thing). `lm_robust()` also lets you specify fixed effects separately so that they're hidden in the results, but instead of including them in the formula like we did with `feols()`, we have to use the `fixed_effects` argument. - -```{r lmrobust-errors} -library(estimatr) # Run models with lm_robust() - -model_lmrobust_clustered <- lm_robust(body_mass_g ~ bill_length_mm + flipper_length_mm, - fixed_effects = ~ species, - se_type = "stata", - clusters = species, - data = penguins) - -tidy(model_lmrobust_clustered, conf.int = TRUE) %>% filter(term == "bill_length_mm") -``` - - -### On-the-fly SE adjustment - -While it's neat that we can specify standard errors directly in `feols()` and `lm_robust()`, it's sometimes ([almost always](https://grantmcdermott.com/better-way-adjust-SEs/)) a good idea to actually not adjust SEs within the models themselves and instead make the adjustments after you've already fit the model. This is especially the case if you have a more complex model that takes a while to run. Note how we ran a couple different `feols()` models previously—it would be nice if we could just run the model once and then choose whatever standard error adjustments we want later. This is what we already did with `coeftest(model, vcov = ...)`. We can do similar things with `feols()`. Watch how we can specify the standard error options and clusters inside `tidy()` directly, with just one model! - -```{r feols-on-the-fly} -model_feols_basic <- feols(body_mass_g ~ bill_length_mm + flipper_length_mm | species, - data = penguins) - -tidy(model_feols_basic, se = "hetero") %>% filter(term == "bill_length_mm") - -tidy(model_feols_basic, cluster = "species") %>% filter(term == "bill_length_mm") -``` - -The `modelsummary()` function from [the **modelsummary** package](https://vincentarelbundock.github.io/modelsummary/) also lets us make SE adjustments on the fly. Check this out—with just one basic model with `lm()`, we can get all these different kinds of standard errors! - -```{r modelsummary-on-the-fly} -library(modelsummary) # Make nice tables and plots for models - -model_basic <- lm(body_mass_g ~ bill_length_mm + flipper_length_mm + species, - data = penguins) - -# Add an extra row with the error names -se_info <- tibble(term = "Standard errors", "Regular", "Robust", "Stata", "Clustered by species") - -modelsummary(model_basic, - # Specify how to robustify/cluster the model - vcov = list("iid", "robust", "stata", function(x) vcovCL(x, cluster = ~ species)), - # Get rid of other coefficients and goodness-of-fit (gof) stats - coef_omit = "species|flipper|Intercept", gof_omit = ".*", - add_rows = se_info) -``` - - -### Plot all these confidence intervals - -The **modelsummary** package also comes with a `modelplot()` function that will create a coefficient plot showing the point estimates and 95% confidence intervals. Look at all these different standard errors! - -```{r modelsummary-coef-plot, fig.width=8, fig.height=4, message=FALSE, warning=FALSE} -modelplot( - list('lm_robust(se_type = "stata", clusters = species)' = model_lmrobust_clustered, - 'feols(se = "cluster", cluster = ~species)' = model_feols_clustered, - 'feols(se = "hetero")' = model_feols_hetero, - 'lm() + vcovCL(cluster = "species") [small sample corrected]' = model1_robust_clustered_corrected, - 'lm() + vcovCL(cluster = "species")' = model1_robust_clustered, - 'lm() + vcovHC(type = "HC1") [Stata]' = model1_robust_stata, - "lm() + vcovHC() [robust]" = model1_robust, - "Basic lm() model" = model1), - coef_omit = "species|flipper|Intercept") + - guides(color = guide_legend(reverse = TRUE)) -``` diff --git a/example/standard-errors_files/figure-html/check-residuals-1-1.png b/example/standard-errors_files/figure-html/check-residuals-1-1.png new file mode 100644 index 00000000..e344bdaf Binary files /dev/null and b/example/standard-errors_files/figure-html/check-residuals-1-1.png differ diff --git a/example/standard-errors_files/figure-html/check-residuals-2-1.png b/example/standard-errors_files/figure-html/check-residuals-2-1.png new file mode 100644 index 00000000..7bf6330a Binary files /dev/null and b/example/standard-errors_files/figure-html/check-residuals-2-1.png differ diff --git a/example/standard-errors_files/figure-html/model-plot-no-gentoo-1.png b/example/standard-errors_files/figure-html/model-plot-no-gentoo-1.png new file mode 100644 index 00000000..791d4288 Binary files /dev/null and b/example/standard-errors_files/figure-html/model-plot-no-gentoo-1.png differ diff --git a/example/standard-errors_files/figure-html/resid-shuffled-1.png b/example/standard-errors_files/figure-html/resid-shuffled-1.png new file mode 100644 index 00000000..c7de4b48 Binary files /dev/null and b/example/standard-errors_files/figure-html/resid-shuffled-1.png differ diff --git a/example/standard-errors_files/figure-html/residual-distribution-1.png b/example/standard-errors_files/figure-html/residual-distribution-1.png new file mode 100644 index 00000000..30dcad09 Binary files /dev/null and b/example/standard-errors_files/figure-html/residual-distribution-1.png differ diff --git a/example/synthetic-data.qmd b/example/synthetic-data.qmd deleted file mode 100644 index 4354ac7a..00000000 --- a/example/synthetic-data.qmd +++ /dev/null @@ -1,1501 +0,0 @@ ---- -title: "The ultimate guide to generating synthetic data for causal inference" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.asp = 0.618, fig.align = "center", - fig.retina = 3, out.width = "75%", collapse = TRUE) -set.seed(1234) -options("digits" = 4, "width" = 170) -options(dplyr.summarise.inform = FALSE) -``` - -In the [example guide for generating random numbers](/example/random-numbers.qmd), we explored how to use a bunch of different statistical distributions to create variables that had reasonable values. However, each of the columns that we generated there were completely independent of each other. In the final example, we made some data with columns like age, education, and income, but none of those were related, though in real life they would be. - -Generating random variables is fairly easy: choose some sort of distributional shape, set parameters like a mean and standard deviation, and let randomness take over. Forcing variables to be related is a little trickier and involves a little math. But don't worry! That math is all just regression stuff! - -```{r libraries, warning=FALSE, message=FALSE} -library(tidyverse) -library(broom) -library(patchwork) -library(scales) -library(ggdag) -``` - -## Basic example - -### Relationships and regression - -Let's pretend we want to predict someone's happiness on a 10-point scale based on the number of cookies they've eaten and whether or not their favorite color is blue. - -$$ -\text{Happiness} = \beta_0 + \beta_1 \text{Cookies eaten} + \beta_2 \text{Favorite color is blue} + \varepsilon -$$ - -We can generate a fake dataset with columns for happiness (Beta distribution clustered around 7ish), cookies (Poisson distribution), and favorite color (binomial distribution for blue/not blue): - -```{r fake-simple-data} -set.seed(1234) - -n_people <- 1000 -happiness_simple <- tibble( - id = 1:n_people, - happiness = rbeta(n_people, shape1 = 7, shape2 = 3), - cookies = rpois(n_people, lambda = 1), - color_blue = sample(c("Blue", "Not blue"), n_people, replace = TRUE) -) %>% - # Adjust some of the columns - mutate(happiness = round(happiness * 10, 1), - cookies = cookies + 1, - color_blue = fct_relevel(factor(color_blue), "Not blue")) - -head(happiness_simple) -``` - -We have a neat dataset now, so let's run a regression. Is eating more cookies or liking blue associated with greater happiness? - -```{r} -model_happiness1 <- lm(happiness ~ cookies + color_blue, data = happiness_simple) -tidy(model_happiness1) -``` - -Not really. The coefficients for both `cookies` and `color_blueBlue` are basically 0 and not statistically significant. That makes sense since the three columns are completely independent of each other. If there were any significant effects, that'd be strange and solely because of random chance. - -**For the sake of your final project, you can just leave all the columns completely independent of each other if you want.** None of your results will be significant and you won't see any effects anywhere, but you can still build models, run all the pre-model diagnostics, and create graphs and tables based on this data. - -***HOWEVER***, it will be far more useful to you if you generate relationships. The whole goal of this class is to find causal effects in observational, non-experimental data. If you can generate synthetic non-experimental data and bake in a known causal effect, you can know if your different methods for recovering that effect are working. - -So how do we bake in correlations and causal effects? - -### Explanatory variables linked to outcome; no connection between explanatory variables - -To help with the intuition of how to link these columns, think about the model we're building: - -$$ -\text{Happiness} = \beta_0 + \beta_1 \text{Cookies eaten} + \beta_2 \text{Favorite color is blue} + \varepsilon -$$ - -This model provides estimates for all those betas. Throughout the semester, we've used the analogy of sliders and switches to describe regression coefficients. Here we have both: - -- $\beta_0$: The average baseline happiness. -- $\beta_1$: The additional change in happiness that comes from eating one cookie. This is a *slider*: move cookies up by one and happiness changes by $\beta_1$. -- $\beta_2$: The change in happiness that comes from having your favorite color be blue. This is a *switch*: turn on "blue" for someone and their happiness changes by $\beta_2$. - -We can invent our own coefficients and use some math to build them into the dataset. Let's use these numbers as our targets: - -- $\beta_0$: Average happiness is 7 -- $\beta_1$: Eating one more cookie boosts happiness by 0.25 points -- $\beta_2$: People who like blue have 0.75 higher happiness - -When generating the data, we can't just use `rbeta()` by itself to generate happiness, since happiness depends on both cookies and favorite color (that's why we call it a dependent variable). To build in this effect, we can add a new column that uses math and modifies the underlying `rbeta()`-based happiness score: - -```{r} -happiness_with_effect <- happiness_simple %>% - # Turn the categorical favorite color column into TRUE/FALSE so we can do math with it - mutate(color_blue_binary = ifelse(color_blue == "Blue", TRUE, FALSE)) %>% - # Make a new happiness column that uses coefficients for cookies and favorite color - mutate(happiness_modified = happiness + (0.25 * cookies) + (0.75 * color_blue_binary)) -head(happiness_with_effect) -``` - -Now that we have a new `happiness_modified` column we can run a model using it as the outcome: - -```{r} -model_happiness2 <- lm(happiness_modified ~ cookies + color_blue, data = happiness_with_effect) -tidy(model_happiness2) -``` - -Whoa! Look at those coefficients! They're exactly what we tried to build in! The baseline happiness (intercept) is ≈7, eating one cookie is associated with a ≈0.25 increase in happiness, and liking blue is associated with a ≈0.75 increase in happiness. - -However, we originally said that happiness was a 0-10 point scale. After boosting it with extra happiness for cookies and liking blue, there are some people who score higher than 10: - -```{r happiness-dist-normal} -# Original scale -ggplot(happiness_with_effect, aes(x = happiness)) + - geom_histogram(binwidth = 1, color = "white") + - scale_x_continuous(breaks = 0:11) + - coord_cartesian(xlim = c(0, 11)) -``` - -```{r happiness-dist-scaled-up} -# Scaled up -ggplot(happiness_with_effect, aes(x = happiness_modified)) + - geom_histogram(binwidth = 1, color = "white") + - scale_x_continuous(breaks = 0:11) + - coord_cartesian(xlim = c(0, 11)) -``` - -To fix that, we can use the `rescale()` function from the **scales** package to force the new `happiness_modified` variable to fit back in its original range: - -```{r happiness-scaled-down} -happiness_with_effect <- happiness_with_effect %>% - mutate(happiness_rescaled = rescale(happiness_modified, to = c(3, 10))) - -ggplot(happiness_with_effect, aes(x = happiness_rescaled)) + - geom_histogram(binwidth = 1, color = "white") + - scale_x_continuous(breaks = 0:11) + - coord_cartesian(xlim = c(0, 11)) -``` - -Everything is back in the 3–10 range now. However, the rescaling also rescaled our built-in effects. Look what happens if we use the `happiness_rescaled` in the model: - -```{r} -model_happiness3 <- lm(happiness_rescaled ~ cookies + color_blue, data = happiness_with_effect) -tidy(model_happiness3) -``` - -Now the baseline happiness is 6.3, the cookies effect is 0.2, and the blue effect is 0.63. These effects shrunk because we shrunk the data back down to have a maximum of 10. - -There are probably fancy mathy ways to rescale data *and* keep the coefficients the same size, but rather than figure that out (who even wants to do that?!), my strategy is just to play with numbers until the results look good. Instead of using a 0.25 cookie effect and 0.75 blue effect, I make those effects bigger so that the rescaled version is roughly what I really want. There's no systematic way to do this—I ran this chunk below a bunch of times until the numbers worked. - -```{r} -set.seed(1234) - -n_people <- 1000 -happiness_real_effect <- tibble( - id = 1:n_people, - happiness_baseline = rbeta(n_people, shape1 = 7, shape2 = 3), - cookies = rpois(n_people, lambda = 1), - color_blue = sample(c("Blue", "Not blue"), n_people, replace = TRUE) -) %>% - # Adjust some of the columns - mutate(happiness_baseline = round(happiness_baseline * 10, 1), - cookies = cookies + 1, - color_blue = fct_relevel(factor(color_blue), "Not blue")) %>% - # Turn the categorical favorite color column into TRUE/FALSE so we can do math with it - mutate(color_blue_binary = ifelse(color_blue == "Blue", TRUE, FALSE)) %>% - # Make a new happiness column that uses coefficients for cookies and favorite color - mutate(happiness_effect = happiness_baseline + - (0.31 * cookies) + # Cookie effect - (0.91 * color_blue_binary)) %>% # Blue effect - # Rescale to 3-10, since that's what the original happiness column looked like - mutate(happiness = rescale(happiness_effect, to = c(3, 10))) - -model_does_this_work_yet <- lm(happiness ~ cookies + color_blue, data = happiness_real_effect) -tidy(model_does_this_work_yet) -``` - -There's nothing magical about the 0.31 and 0.91 numbers I used here; I just kept changing those to different things until the regression coefficients ended up at ≈0.25 and ≈0.75. Also, I gave up on trying to make the baseline happiness 7. It's possible to do—you'd just need to also shift the underlying Beta distribution up (like `shape1 = 9, shape2 = 2` or something). But then you'd also need to change the coefficients more. You'll end up with 3 moving parts and it can get complicated, so I don't worry too much about it, since what we care about the most here is the effect of cookies and favorite color, not baseline levels of happiness. - -Phew. We successfully connected cookies and favorite color to happiness and we have effects that are measurable with regression! One last thing that I would do is get rid of some of the intermediate columns like `color_blue_binary` or `happiness_effect`—we only used those for the behind-the-scenes math of creating the effect. Here's our final synthetic dataset: - -```{r} -happiness <- happiness_real_effect %>% - select(id, happiness, cookies, color_blue) -head(happiness) -``` - -We can save that as a CSV file with `write_csv()`: - -```{r eval=FALSE} -write_csv(happiness, "data/happiness_fake_data.csv") -``` - -### Explanatory variables linked to outcome; connection between explanatory variables - -In that cookie example, we assumed that both cookie consumption and favorite color are associated with happiness. We also assumed that cookie consumption and favorite color are *not* related to each other. But what if they are? What if people who like blue eat more cookies? - -We've already used regression-based math to connect explanatory variables to outcome variables. We can use that same intuition to connect explanatory variables to each other. - -The easiest way to think about this is with DAGs. Here's the DAG for the model we just ran: - -```{r happiness-dag-rct} -happiness_dag1 <- dagify(hap ~ cook + blue, - coords = list(x = c(hap = 3, cook = 1, blue = 2), - y = c(hap = 1, cook = 1, blue = 2))) - -ggdag(happiness_dag1) + - theme_dag() -``` - -Both cookies and favorite color cause happiness, but there's no link between them. Notice that `dagify()` uses the same model syntax that `lm()` does: `hap ~ cook + blue`. If we think of this just like a regression model, we can pretend that there are coefficients there too: `hap ~ 0.25*cook + 0.75*blue`. We don't actually include any coefficients in the DAG or anything, but it helps with the intuition. - -But what if people who like blue eat more cookies on average? For whatever reason, let's pretend that liking blue causes you to eat 0.5 more cookies, on average. Here's the new DAG: - -```{r happiness-dag-confounding} -happiness_dag2 <- dagify(hap ~ cook + blue, - cook ~ blue, - coords = list(x = c(hap = 3, cook = 1, blue = 2), - y = c(hap = 1, cook = 1, blue = 2))) - -ggdag(happiness_dag2) + - theme_dag() -``` - -Now we have two different equations: `hap ~ cook + blue` and `cook ~ blue`. Conveniently, these both translate to models, and we know the coefficients we want! - -- `hap ~ 0.25*cook + 0.75*blue`: This is what we built before—cookies boost happiness by 0.25 and liking blue boosts happiness by 0.75 -- `cook ~ 0.3*blue`: This is what we just proposed—liking blue boosts cookies by 0.5 - -We can follow the same process we did when building the cookie and blue effects into happiness to also build a blue effect into cookies! - -```{r} -set.seed(1234) - -n_people <- 1000 -happiness_cookies_blue <- tibble( - id = 1:n_people, - happiness_baseline = rbeta(n_people, shape1 = 7, shape2 = 3), - cookies = rpois(n_people, lambda = 1), - color_blue = sample(c("Blue", "Not blue"), n_people, replace = TRUE) -) %>% - # Adjust some of the columns - mutate(happiness_baseline = round(happiness_baseline * 10, 1), - cookies = cookies + 1, - color_blue = fct_relevel(factor(color_blue), "Not blue")) %>% - # Turn the categorical favorite color column into TRUE/FALSE so we can do math with it - mutate(color_blue_binary = ifelse(color_blue == "Blue", TRUE, FALSE)) %>% - # Make blue have an effect on cookie consumption - mutate(cookies = cookies + (0.5 * color_blue_binary)) %>% - # Make a new happiness column that uses coefficients for cookies and favorite color - mutate(happiness_effect = happiness_baseline + - (0.31 * cookies) + # Cookie effect - (0.91 * color_blue_binary)) %>% # Blue effect - # Rescale to 3-10, since that's what the original happiness column looked like - mutate(happiness = rescale(happiness_effect, to = c(3, 10))) -head(happiness_cookies_blue) -``` - -Notice now that people who like blue eat partial cookies, as expected. We can verify that there's a relationship between liking blue and cookies by running a model: - -```{r} -lm(cookies ~ color_blue, data = happiness_cookies_blue) %>% - tidy() -``` - -Yep. Liking blue is associated with 0.46 more cookies on average (it's not quite 0.5, but that's because of randomness). - -Now let's do some neat DAG magic. Let's say we're interested in the causal effect of cookies on happiness. We could run a naive model: - -```{r} -model_happiness_naive <- lm(happiness ~ cookies, data = happiness_cookies_blue) -tidy(model_happiness_naive) -``` - -Based on this, eating a cookie causes you to have 0.325 more happiness points. But that's wrong! Liking the color blue is a confounder and opens a path between cookies and happiness. You can see the confounding both in the DAG (since blue points to both the cookie node and the happiness node) and in the math (liking blue boosts happiness + liking blue boosts cookie consumption, which boosts happiness). - -To fix this confounding, we need to statistically adjust for liking blue and close the backdoor path. Ordinarily we'd do this with something like [matching or inverse probability weighting](/example/matching-ipw.qmd), but here we can just include liking blue as a control variable (since it's linearly related to both cookies and happiness): - -```{r} -model_happiness_ate <- lm(happiness ~ cookies + color_blue, data = happiness_cookies_blue) -tidy(model_happiness_ate) -``` - -After adjusting for backdoor confounding, eating one additional cookie *causes* a 0.249 point increase in happiness. This is the effect we originally built into the data! - -If you wanted, we could rescale the number of cookies just like we rescaled happiness before, since sometimes adding effects to columns changes their reasonable ranges. - -Now that we have a good working dataset, we can keep the columns we care about and save it as a CSV file for later use: - -```{r} -happiness <- happiness_cookies_blue %>% - select(id, happiness, cookies, color_blue) -head(happiness) -``` - -```{r eval=FALSE} -write_csv(happiness, "data/happiness_fake_data.csv") -``` - -### Adding extra noise - -We've got columns that follow specific distributions, and we've got columns that are statistically related to each other. We can add one more wrinkle to make our fake data even more fun (and even more reflective of real life). We can add some noise. - -Right now, the effects we're finding are *too* perfect. When we used `mutate()` to add a 0.25 boost in happiness for every cookie people ate, we added *exactly* 0.25 happiness points. If someone ate 2 cookies, they got 0.5 more happiness; if they ate 5, they got 1.25 more. - -What if the cookie effect isn't exactly 0.25, but somewhere *around* 0.25? For some people it's 0.1, for others it's 0.3, for others it's 0.22. We can use the same ideas we talked about in the [random numbers example](/example/random-numbers.qmd) to generate a *distribution* of an effect. For instance, let's say that the average cookie effect is 0.25, but it can vary somewhat with a standard deviation of 0.15: - -```{r random-cookie-effect} -temp_data <- tibble(x = rnorm(10000, mean = 0.25, sd = 0.15)) - -ggplot(temp_data, aes(x = x)) + - geom_histogram(binwidth = 0.05, boundary = 0, color = "white") -``` - -Sometimes it can go as low as −0.25; sometimes it can go as high as 0.75; normally it's around 0.25. - -Nothing in the model explains why it's higher or lower for some people—it's just random noise. Remember that the model accounts for that! This random variation is what the $\varepsilon$ is for in this model equation: - -$$ -\text{Happiness} = \beta_0 + \beta_1 \text{Cookies eaten} + \beta_2 \text{Favorite color is blue} + \varepsilon -$$ - -We can build that uncertainty into the fake column! Instead of using `0.31 * cookies` when generating `happiness` (which is technically 0.25, but shifted up to account for rescaling happiness back down after), we'll make a column for the cookie effect and then multiply *that* by the number of cookies. - -```{r} -set.seed(1234) - -n_people <- 1000 -happiness_cookies_noisier <- tibble( - id = 1:n_people, - happiness_baseline = rbeta(n_people, shape1 = 7, shape2 = 3), - cookies = rpois(n_people, lambda = 1), - cookie_effect = rnorm(n_people, mean = 0.31, sd = 0.2), - color_blue = sample(c("Blue", "Not blue"), n_people, replace = TRUE) -) %>% - # Adjust some of the columns - mutate(happiness_baseline = round(happiness_baseline * 10, 1), - cookies = cookies + 1, - color_blue = fct_relevel(factor(color_blue), "Not blue")) %>% - # Turn the categorical favorite color column into TRUE/FALSE so we can do math with it - mutate(color_blue_binary = ifelse(color_blue == "Blue", TRUE, FALSE)) %>% - # Make blue have an effect on cookie consumption - mutate(cookies = cookies + (0.5 * color_blue_binary)) %>% - # Make a new happiness column that uses coefficients for cookies and favorite - # color. Importantly, instead of using 0.31 * cookies, we'll use the random - # cookie effect we generated earlier - mutate(happiness_effect = happiness_baseline + - (cookie_effect * cookies) + - (0.91 * color_blue_binary)) %>% - # Rescale to 3-10, since that's what the original happiness column looked like - mutate(happiness = rescale(happiness_effect, to = c(3, 10))) -head(happiness_cookies_noisier) -``` - -Now let's look at the cookie effect in this noisier data: - -```{r} -model_noisier <- lm(happiness ~ cookies + color_blue, data = happiness_cookies_noisier) -tidy(model_noisier) -``` - -The effect is a little smaller now because of the extra noise, so we'd need to mess with the 0.31 and 0.91 coefficients more to get those numbers back up to 0.25 and 0.75. - -While this didn't influence the findings too much here, it can have consequences for other variables. For instance, in the previous section we said that the color blue influences cookie consumption. If the blue effect on cookies isn't precisely 0.5 but follows some sort of distribution (sometimes small, sometimes big, sometimes negative, sometimes zero), that will influence cookies differently. That random effect on cookie consumption will then work together with the random effect of cookies on happiness, resulting in multiple varied values. - -For instance, imagine the average effect of liking blue on cookies is 0.5, and the average effect of cookies on happiness is 0.25. For one person, their blue-on-cookie effect might be 0.392, which changes the number of cookies they eat. Their cookie-on-happiness effect is 0.573, which changes their happiness. Both of those random effects work together to generate the final happiness. - -If you want more realistic-looking synthetic data, it's a good idea to add some random noise wherever you can. - - -## Visualizing variables and relationships - -Going through this process requires *a ton* of trial and error. You will change all sorts of numbers to make sure the relationships you're building work. This is especially the case if you rescale things, since that rescales your effects. There are a lot of moving parts and this is a complicated process. - -You'll run your data generation chunks lots and lots and lots of times, tinkering with the numbers as you go. This example makes it look easy, since it's the final product, but I ran all these chunks over and over again until I got the causal effect and relationships just right. - -It's best if you also create plots and models to see what the relationships look like - -### Visualizing one variable - -We covered a bunch of distributions in the [random number generation](/example/random-numbers.qmd) example, but it's hard to think about what a standard deviation of 2 vs 10 looks like, or what happens when you mess with the shape parameters in a Beta distribution. - -It's best to visualize these variables. You could build the variable into your official dataset and then look at it, but I find it's often faster to just look at what a general distribution looks like first. The easiest way to do this is generate a dataset with just one column in it and look at it, either with a histogram or a density plot. - -For instance, what does a Beta distribution with `shape1 = 3` and `shape2 = 16` look like? The math says it should peak around 0.15ish ($\frac{3}{3 + 16}$), and that looks like the case: - -```{r vis-beta-example, out.width="65%", fig.height=3, fig.asp=NULL} -temp_data <- tibble(x = rbeta(10000, shape1 = 3, shape2 = 16)) - -plot1 <- ggplot(temp_data, aes(x = x)) + - geom_histogram(binwidth = 0.05, boundary = 0, color = "white") - -plot2 <- ggplot(temp_data, aes(x = x)) + - geom_density() - -plot1 + plot2 -``` - -What if we want a normal distribution centered around 100, with most values range from 50 to 150. That's range of ±50, but that doesn't mean the `sd` will be 50—it'll be much smaller than that, like 25ish. Tinker with the numbers until it looks right. - -```{r vis-normal-example, out.width="65%", fig.height=3, fig.asp=NULL} -temp_data <- tibble(x = rnorm(10000, mean = 100, sd = 25)) - -plot1 <- ggplot(temp_data, aes(x = x)) + - geom_histogram(binwidth = 10, boundary = 0, color = "white") - -plot2 <- ggplot(temp_data, aes(x = x)) + - geom_density() - -plot1 + plot2 -``` - -### Visualizing two continuous variables - -If you have two continuous/numeric columns, it's best to use a scatterplot. For instance, let's make two columns based on the Beta and normal distributions above, and we'll make it so that y goes up by 0.25 for every increase in x, along with some noise: - -```{r vis-two-continuous, message=FALSE} -set.seed(1234) - -temp_data <- tibble( - x = rnorm(1000, mean = 100, sd = 25) -) %>% - mutate(y = rbeta(1000, shape1 = 3, shape2 = 16) + # Baseline distribution - (0.25 * x) + # Effect of x - rnorm(1000, mean = 0, sd = 10)) # Add some noise - -ggplot(temp_data, aes(x = x, y = y)) + - geom_point() + - geom_smooth(method = "lm") -``` - -We can confirm the effect with a model: - -```{r} -lm(y ~ x, data = temp_data) %>% - tidy() -``` - -### Visualizing a binary variable and a continuous variable - -If you have one binary column and one continuous/numeric column, it's generally best to *not* use a scatterplot. Instead, either look at the distribution of the continuous variable across the binary variable with a faceted histogram or overlaid density plot, or look at the average of the continuous variable across the different values of the binary variable with a point range. - -Let's make two columns: a continuous outcome (y) and a binary treatment (x). Being in the treatment group causes an increase of 20 points, on average. - -```{r} -set.seed(1234) - -temp_data <- tibble( - treatment = rbinom(1000, size = 1, prob = 0.5) # Make 1000 0/1 values with 50% chance of each -) %>% - mutate(outcome = rbeta(1000, shape1 = 3, shape2 = 16) + # Baseline distribution - (20 * treatment) + # Effect of treatment - rnorm(1000, mean = 0, sd = 20)) %>% # Add some noise - mutate(treatment = factor(treatment)) # Make treatment a factor/categorical variable -``` - -We can check the numbers with a model: - -```{r} -lm(outcome ~ treatment, data = temp_data) %>% tidy() -``` - -Here's what that looks like as a histogram: - -```{r vis-histogram} -ggplot(temp_data, aes(x = outcome, fill = treatment)) + - geom_histogram(binwidth = 5, color = "white", boundary = 0) + - guides(fill = "none") + # Turn off the fill legend since it's redundant - facet_wrap(vars(treatment), ncol = 1) -``` - -And as overlapping densities: - -```{r vis-density} -ggplot(temp_data, aes(x = outcome, fill = treatment)) + - geom_density(alpha = 0.5) -``` - -And with a point range: - -```{r vis-pointrange} -# hahaha these error bars are tiny -ggplot(temp_data, aes(x = treatment, y = outcome, color = treatment)) + - stat_summary(geom = "pointrange", fun.data = "mean_se") + - guides(color = "none") # Turn off the color legend since it's redundant -``` - - -## Specific examples - -### tl;dr: The general process - -Those previous sections go into a lot of detail. In general, here's the process you should follow when building relationships in synthetic data: - -1. Draw a DAG that maps out how all the columns you care about are related. -2. Specify how those nodes are measured. -3. Specify the relationships between the nodes based on the DAG equations. -4. Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled. -5. Verify all relationships with plots and models. -6. Try it out! -7. Save the data. - -### Creating an effect in an observational DAG - -1. **Draw a DAG that maps out how all the columns you care about are related.** - - Here's a simple DAG that shows the causal effect of mosquito net usage on malaria risk. Income and health both influence and confound net use and malaria risk, and income also influences health. - -```{r observational-dag, indent=" "} -mosquito_dag <- dagify(mal ~ net + inc + hlth, - net ~ inc + hlth, - hlth ~ inc, - coords = list(x = c(mal = 4, net = 1, inc = 2, hlth = 3), - y = c(mal = 1, net = 1, inc = 2, hlth = 2))) -ggdag(mosquito_dag) + - theme_dag() -``` - -2. **Specify how those nodes are measured.** - - For the sake of this example, we'll measure these nodes like so. See [the random number example](/example/random-numbers.qmd) for more details about the distributions. - - - **Malaria risk**: scale from 0–100, mostly around 40, but ranging from 10ish to 80ish. Best to use a Beta distribution. - - - **Net use**: binary 0/1, TRUE/FALSE variable, where 50% of people use nets. Best to use a binomial distribution. However, since we want to use other variables that increase the likelihood of using a net, we'll do some cool tricky stuff, explained later. - - - **Income**: weekly income, measured in dollars, mostly around 500 ± 300. Best to use a normal distribution. - - - **Health**: scale from 0–100, mostly around 70, but ranging from 50ish to 100. Best to use a Beta distribution. - -3. **Specify the relationships between the nodes based on the DAG equations.** - - There are three models in this DAG: - - - **`hlth ~ inc`**: Income influences health. We'll assume that every 10 dollars/week is associated with a 1 point increase in health (so a 1 dollar incrrease is associated with a 0.02 point increase in health) - - - **`net ~ inc + hlth`**: Income and health both increase the probability of net usage. This is where we do some cool tricky stuff. - - Both income and health have an effect on the probability of bed net use, but bed net use is measured as a 0/1, TRUE/FALSE variable. If we run a regression with `net` as the outcome, we can't really interpret the coefficients like "a 1 point increase in health is associated with a 0.42 point increase in bed net being TRUE." That doesn't even make sense. - - Ordinarily, when working with binary outcome variables, you use logistic regression models (see [the crash course we had when talking about propensity scores here](/example/matching-ipw.qmd#oversimplified-crash-course-in-logistic-regression)). In this kind of regression, the coefficients in the model represent changes in the *log odds* of using a net. As we discuss in [the crash course section](/example/matching-ipw.qmd#oversimplified-crash-course-in-logistic-regression), log odds are typically impossible to interpet. If you exponentiate them, you get odds ratios, which let you say things like "a 1 point increase in health is associated with a 15% increase in the likelihood of using a net." Technically we could include coefficients for a logistic regression model and simulate probabilities of using a net or not using log odds and odds ratios (and that's what I do in the rain barrel data from Problem Set 3 ([see code here](https://github.com/andrewheiss/evalsp22.classes.andrewheiss.com/blob/main/content/assignment/03-problem-set.Rmd#L225))), but that's really hard to wrap your head around since you're dealing with strange uninterpretable coefficients. So we won't do that here. - - Instead, we'll do some fun trickery. We'll create something called a "bed net score" that gets bigger as income and health increase. We'll say that a 1 point increase in health score is associated with a 1.5 point increase in bed net score, and a 1 dollar increase in income is associated with a 0.5 point increase in bed net score. This results in a column that ranges all over the place, from 200 to 500 (in this case; that won't always be true). This column definitely doesn't look like a TRUE/FALSE binary column—it's just a bunch of numbers. That's okay! - - We'll then use the `rescale()` function from the **scales** package to take this bed net score and scale it down so that it goes from 0.05 to 0.95. This represents a person's probability of using a bed net. - - Finally, we'll use that probability in the `rbinom()` function to generate a 0 or 1 for each person. Some people will have a high probability because of their income and health, like 0.9, and will most likely use a net. Some people might have a 0.15 probability and will likely not use a net. - - When you generate binary variables like this, it's hard to know the exact effect you'll get, so it's best to tinker with the numbers until you see relationships that you want. - - - **`mal ~ net + inc + hlth`**: Finally net use, income, and health all have an effect on the risk of malaria. Building this relationship is easy since it's just a regular linear regression model (since malaria risk is not binary). We'll say that a 1 dollar increase in income is associated with a *decrease* in risk, a 1 point increase in health is associated with a *decrease* in risk, and using a net is associated with a 15 point *decrease* in risk. That's the casual effect we're building in to the DAG. - -4. **Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled.** - - Here we go! Let's make some data. I'll comment the code below so you can see what's happening at each step. - -```{r indent=" "} -# Make this randomness consistent -set.seed(1234) - -# Simulate 1138 people (just for fun) -n_people <- 1138 - -net_data <- tibble( - # Make an ID column (not necessary, but nice to have) - id = 1:n_people, - # Generate income variable: normal, 500 ± 300 - income = rnorm(n_people, mean = 500, sd = 75) -) %>% - # Generate health variable: beta, centered around 70ish - mutate(health_base = rbeta(n_people, shape1 = 7, shape2 = 4) * 100, - # Health increases by 0.02 for every dollar in income - health_income_effect = income * 0.02, - # Make the final health score and add some noise - health = health_base + health_income_effect + rnorm(n_people, mean = 0, sd = 3), - # Rescale so it doesn't go above 100 - health = rescale(health, to = c(min(health), 100))) %>% - # Generate net variable based on income, health, and random noise - mutate(net_score = (0.5 * income) + (1.5 * health) + rnorm(n_people, mean = 0, sd = 15), - # Scale net score down to 0.05 to 0.95 to create a probability of using a net - net_probability = rescale(net_score, to = c(0.05, 0.95)), - # Randomly generate a 0/1 variable using that probability - net = rbinom(n_people, 1, net_probability)) %>% - # Finally generate a malaria risk variable based on income, health, net use, - # and random noise - mutate(malaria_risk_base = rbeta(n_people, shape1 = 4, shape2 = 5) * 100, - # Risk goes down by 10 when using a net. Because we rescale things, - # though, we have to make the effect a lot bigger here so it scales - # down to -10. Risk also decreases as health and income go up. I played - # with these numbers until they created reasonable coefficients. - malaria_effect = (-30 * net) + (-1.9 * health) + (-0.1 * income), - # Make the final malaria risk score and add some noise - malaria_risk = malaria_risk_base + malaria_effect + rnorm(n_people, 0, sd = 3), - # Rescale so it doesn't go below 0, - malaria_risk = rescale(malaria_risk, to = c(5, 70))) - -# Look at all these columns! -head(net_data) -``` - -5. **Verify all relationships with plots and models.** - - Let's see if we have the relationships we want. Income looks like it's associated with health: - -```{r check-income-health, indent=" ", message=FALSE} -ggplot(net_data, aes(x = income, y = health)) + - geom_point() + - geom_smooth(method = "lm") - -lm(health ~ income, data = net_data) %>% tidy() -``` - - It looks like richer and healthier people are more likely to use nets: - -```{r check-income-health-nets, fig.width=8, fig.height=4, fig.asp=NULL, indent=" "} -net_income <- ggplot(net_data, aes(x = income, fill = as.factor(net))) + - geom_density(alpha = 0.7) + - theme(legend.position = "bottom") - -net_health <- ggplot(net_data, aes(x = health, fill = as.factor(net))) + - geom_density(alpha = 0.7) + - theme(legend.position = "bottom") - -net_income + net_health -``` - - Income increasing makes it 1% more likely to use a net; health increasing make it 2% more likely to use a net: - -```{r indent=" "} -glm(net ~ income + health, family = binomial(link = "logit"), data = net_data) %>% - tidy(exponentiate = TRUE) -``` - -6. **Try it out!** - - Is the effect in there? Let's try finding it by controlling for our two backdoors: health and income. Ordinarily we should do something like [matching or inverse probability weighting](/example/matching-ipw.qmd), but we'll just do regular regression here (which is okay-ish, since all these variables are indeed linearly related with each other—we made them that way!) - - If we just look at the effect of nets on malaria risk without any statistical adjustment, we see that net cause a decrease of 13 points in malaria risk. This is wrong though becuase there's confounding. - -```{r indent=" "} -# Wrong correlation-is-not-causation effect -model_net_naive <- lm(malaria_risk ~ net, data = net_data) -tidy(model_net_naive) -``` - - If we control for the confounders, we get the 10 point ATE. It works! - -```{r indent=" "} -# Correctly adjusted ATE effect -model_net_ate <- lm(malaria_risk ~ net + health + income, data = net_data) -tidy(model_net_ate) -``` - -7. **Save the data.** - - Since it works, let's save it: - -```{r indent=" "} -# In the end, all we need is id, income, health, net, and malaria risk: -net_data_final <- net_data %>% - select(id, income, health, net, malaria_risk) -head(net_data_final) -``` - -```{r eval=FALSE, indent=" "} -# Save it as a CSV file -write_csv(net_data_final, "data/bed_nets.csv") -``` - - -### Brief pep talk intermission - -Generating data for a full complete observational DAG like the example above is complicated and hard. These other forms of causal inference are *design-based* (i.e. tied to specific contexts like before/after treatment/control or arbitrary cutoffs) instead of *model-based*, so they're actually a lot easier to simulate! So don't be scared away yet! - - -### Creating an effect for RCTs - -1. **Draw a DAG that maps out how all the columns you care about are related.** - - RCTs are great because they make DAGs really easy! In a well-randomized RCT, you get to delete all arrows going into the treatment node in a DAG. We'll stick with the same mosquito net situation we just used, but make it randomized: - -```{r rct-dag, indent=" "} -rct_dag <- dagify(mal ~ net + inc + hlth, - hlth ~ inc, - coords = list(x = c(mal = 4, net = 1, inc = 2, hlth = 3), - y = c(mal = 1, net = 1, inc = 2, hlth = 2))) -ggdag(rct_dag) + - theme_dag() -``` - -2. **Specify how those nodes are measured.** - - We'll measure these nodes the same way as before: - - - **Malaria risk**: scale from 0–100, mostly around 40, but ranging from 10ish to 80ish. Best to use a Beta distribution. - - - **Net use**: binary 0/1, TRUE/FALSE variable, where 50% of people use nets. Best to use a binomial distribution. - - - **Income**: weekly income, measured in dollars, mostly around 500 ± 300. Best to use a normal distribution. - - - **Health**: scale from 0–100, mostly around 70, but ranging from 50ish to 100. Best to use a Beta distribution. - -3. **Specify the relationships between the nodes based on the DAG equations.** - - This is where RCTs are great. Because we removed all the arrows going into `net`, we don't need to build any relationships that influence net use. Net use is randomized! We don't need to make strange "bed net scores" and give people boosts according to income or health or anything. There are only two models in this DAG: - - - **`hlth ~ inc`**: Income influences health. We'll assume that every 10 dollars/week is associated with a 1 point increase in health (so a 1 dollar incrrease is associated with a 0.02 point increase in health) - - - **`mal ~ net + inc + hlth`**: Net use, income, and health all have an effect on the risk of malaria. We'll say that a 1 dollar increase in income is associated with a *decrease* in risk, a 1 point increase in health is associated with a *decrease* in risk, and using a net is associated with a 15 point *decrease* in risk. That's the casual effect we're building in to the DAG. - -4. **Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled.** - - Let's make this data. It'll be a lot easier than the full DAG we did before. Again, I'll comment the code below so you can see what's happening at each step. - -```{r indent=" "} -# Make this randomness consistent -set.seed(1234) - -# Simulate 793 people (just for fun) -n_people <- 793 - -rct_data <- tibble( - # Make an ID column (not necessary, but nice to have) - id = 1:n_people, - # Generate income variable: normal, 500 ± 300 - income = rnorm(n_people, mean = 500, sd = 75) -) %>% - # Generate health variable: beta, centered around 70ish - mutate(health_base = rbeta(n_people, shape1 = 7, shape2 = 4) * 100, - # Health increases by 0.02 for every dollar in income - health_income_effect = income * 0.02, - # Make the final health score and add some noise - health = health_base + health_income_effect + rnorm(n_people, mean = 0, sd = 3), - # Rescale so it doesn't go above 100 - health = rescale(health, to = c(min(health), 100))) %>% - # Randomly assign people to use a net (this is nice and easy!) - mutate(net = rbinom(n_people, 1, 0.5)) %>% - # Finally generate a malaria risk variable based on income, health, net use, - # and random noise - mutate(malaria_risk_base = rbeta(n_people, shape1 = 4, shape2 = 5) * 100, - # Risk goes down by 10 when using a net. Because we rescale things, - # though, we have to make the effect a lot bigger here so it scales - # down to -10. Risk also decreases as health and income go up. I played - # with these numbers until they created reasonable coefficients. - malaria_effect = (-35 * net) + (-1.9 * health) + (-0.1 * income), - # Make the final malaria risk score and add some noise - malaria_risk = malaria_risk_base + malaria_effect + rnorm(n_people, 0, sd = 3), - # Rescale so it doesn't go below 0, - malaria_risk = rescale(malaria_risk, to = c(5, 70))) - -# Look at all these columns! -head(rct_data) -``` - -5. **Verify all relationships with plots and models.** - - Income still looks like it's associated with health (which isn't surprising, since it's the same code we used for the full DAG earlier): - -```{r check-income-health-rct, indent=" ", message=FALSE} -ggplot(net_data, aes(x = income, y = health)) + - geom_point() + - geom_smooth(method = "lm") - -lm(health ~ income, data = net_data) %>% tidy() -``` - -6. **Try it out!** - - Is the effect in there? With an RCT, all we really need to do is compare the outcome across treatment and control groups—because there's no confounding, we don't need to control for anything. Ordinarily we should check for balance across characteristics like health and income (and maybe generate other demographic columns) like [we did in the RCT example](/example/rcts.qmd), but we'll skip all that here since we're just checking to see if the effect is there. - - It looks like using nets *causes* an average decrease of 10 risk points. Great! - -```{r indent=" "} -# Correct RCT-based ATE -model_rct <- lm(malaria_risk ~ net, data = rct_data) -tidy(model_rct) -``` - - Just for fun, if we control for health and income, we'll get basically the same effect, since they don't actualy confound the relationship and don't really explain anything useful. - -```{r indent=" "} -# Controlling for stuff even though we don't need to -model_rct_controls <- lm(malaria_risk ~ net + health + income, data = rct_data) -tidy(model_rct_controls) -``` - -7. **Save the data.** - - The data works, so let's get rid of the intermediate columns we don't need and save it as a CSV file. - -```{r indent=" "} -# In the end, all we need is id, income, health, net, and malaria risk: -rct_data_final <- rct_data %>% - select(id, income, health, net, malaria_risk) -head(rct_data_final) -``` - -```{r eval=FALSE, indent=" "} -# Save it as a CSV file -write_csv(rct_data_final, "data/bed_nets_rct.csv") -``` - - -### Creating an effect for diff-in-diff - -1. **Draw a DAG that maps out how all the columns you care about are related.** - - Difference-in-differences approaches to causal inference are not based on *models* but on *context* or research design. You need comparable treatment and control groups before and after some policy or program is implemented. - - We'll keep with our mosquito net example and pretend that two cities in some country are dealing with malaria infections. City B rolls out a free net program in 2017; City A does not. Here's what the DAG looks like: - -```{r did-dag, indent=" "} -did_dag <- dagify(mal ~ net + year + city, - net ~ year + city, - coords = list(x = c(mal = 3, net = 1, year = 2, city = 2), - y = c(mal = 2, net = 2, year = 3, city = 1))) -ggdag(did_dag) + - theme_dag() -``` - -2. **Specify how those nodes are measured.** - - Here's how we'll measure these nodes: - - - **Malaria risk**: scale from 0–100, mostly around 60, but ranging from 30ish to 90ish. Best to use a Beta distribution. - - - **Net use**: binary 0/1, TRUE/FALSE variable. This is technically binomial, but we don't need to simulate it since it will only happen for people who are in the treatment city after the universal net rollout. - - - **Year**: year ranging from 2013 to 2020. Best to use a uniform distribution. - - - **City**: binary 0/1, City A/City B variable. Best to use a binomial distribution. - -3. **Specify the relationships between the nodes based on the DAG equations.** - - There are two models in the DAG: - - - **`net ~ year + city`**: Net use is determined by being in City B *and* being after 2017. We'll assume perfect compliance here (but it's fairly easy to simulate non-compliance and have some people in City A use nets after 2017, and some people in both cities use nets before 2017). - - - **`mal ~ net + year + city`**: Malaria risk is determined by net use, year, and city. It's determined by lots of other things too (like we saw in the previous DAGs), but since we're assuming that the two cities are comparable treatment and control groups, we don't need to worry about things like health, income, age, etc. - - We'll pretend that in general, City B has historicallly had a problem with malaria and people there have had higher risk: being in City B increases malaria risk by 5 points, on average. Over time, both cities have worked on mosquito abatement, so average malaria risk has decreased by 2 points per year (in both cities, because we believe in parallel trends). Using a mosquito net causes a decrease of 10 points on average. That's our causal effect. - -4. **Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled.** - - Generation time! Heavily annotated code below: - -```{r indent=" "} -# Make this randomness consistent -set.seed(1234) - -# Simulate 2567 people (just for fun) -n_people <- 2567 - -did_data <- tibble( - # Make an ID column (not necessary, but nice to have) - id = 1:n_people, - # Generate year variable: uniform, between 2013 and 2020. Round so it's whole. - year = round(runif(n_people, min = 2013, max = 2020), 0), - # Generate city variable: binomial, 50% chance of being in a city. We'll use - # sample() instead of rbinom() - city = sample(c("City A", "City B"), n_people, replace = TRUE) -) %>% - # Generate net variable. We're assuming perfect compliance, so this will only - # be TRUE for people in City B after 2017 - mutate(net = ifelse(city == "City B" & year > 2017, TRUE, FALSE)) %>% - # Generate a malaria risk variable based on year, city, net use, and random noise - mutate(malaria_risk_base = rbeta(n_people, shape1 = 6, shape2 = 3) * 100, - # Risk goes up if you're in City B because they have a worse problem. - # We could just say "city_effect = 5" and give everyone in City A an - # exact 5-point boost, but to add some noise, we'll give people an - # average boost using rnorm(). Some people might go up 7, some might go - # up 1, some might go down 2 - city_effect = ifelse(city == "City B", rnorm(n_people, mean = 5, sd = 2), 0), - # Risk goes down by 2 points on average every year. Creating this - # effect with regression would work fine (-2 * year), except the years - # are huge here (-2 * 2013 and -2 * 2020, etc.) So first we create a - # smaller year column where 2013 is year 1, 2014 is year 2, and so on, - # that way we can say -2 * 1 and -2 * 6, or whatever. - # Also, rather than make risk go down by *exactly* 2 every year, we'll - # add some noise with rnorm(), so for some people it'll go down by 1 or - # 4 or up by 1, and so on - year_smaller = year - 2012, - year_effect = rnorm(n_people, mean = -2, sd = 0.1) * year_smaller, - # Using a net causes a decrease of 10 points, on average. Again, rather - # than use exactly 10, we'll use a distribution around 10. People only - # get a net boost if they're in City B after 2017. - net_effect = ifelse(city == "City B" & year > 2017, - rnorm(n_people, mean = -10, sd = 1.5), - 0), - # Finally combine all these effects to create the malaria risk variable - malaria_risk = malaria_risk_base + city_effect + year_effect + net_effect, - # Rescale so it doesn't go below 0 or above 100 - malaria_risk = rescale(malaria_risk, to = c(0, 100))) %>% - # Make an indicator variable showing if the row is after 2017 - mutate(after = year > 2017) - -head(did_data) -``` - -5. **Verify all relationships with plots and models.** - - Is risk higher in City B? Yep. - -```{r check-risk-increase, indent=" "} -ggplot(did_data, aes(x = city, y = malaria_risk, color = city)) + - stat_summary(geom = "pointrange", fun.data = "mean_se") + - guides(color = "none") -``` - - Does risk decrease over time? And are the trends parallel? There was a weird random spike in City B in 2017 for whatever reason, but in general, the trends in the two cities are pretty parallel from 2013 to 2017. - -```{r check-parallel-trends, indent=" "} -plot_data <- did_data %>% - group_by(year, city) %>% - summarize(mean_risk = mean(malaria_risk), - se_risk = sd(malaria_risk) / sqrt(n()), - upper = mean_risk + (1.96 * se_risk), - lower = mean_risk + (-1.96 * se_risk)) - -ggplot(plot_data, aes(x = year, y = mean_risk, color = city)) + - geom_vline(xintercept = 2017.5) + - geom_ribbon(aes(ymin = lower, ymax = upper, fill = city), alpha = 0.3, color = FALSE) + - geom_line() + - theme(legend.position = "bottom") -``` - - -6. **Try it out!** - - Let's see if it works! For diff-in-diff we need to use this model: - - $$ - \text{Malaria risk} = \alpha + \beta\ \text{City B} + \gamma\ \text{After 2017} + \delta\ (\text{City B} \times \text{After 2017}) + \varepsilon - $$ - -```{r indent=" "} -model_did <- lm(malaria_risk ~ city + after + city * after, data = did_data) -tidy(model_did) -``` - - It works! Being in City B is associated with a 5-point higher risk on average; being after 2017 is associated with a 7.5-point lower risk on average, and being in City B after 2017 causes risk to drop by −10. The number isn't exactly −10 here, since we rescaled the `malaria_risk` column a little, but still, it's close. It'd probably be a good idea to build in some more noise and noncompliance, since the p-values are really really tiny here, but this is good enough for now. - - Here's an obligatory diff-in-diff visualization: - -```{r show-diff-diff, indent=" "} -plot_data <- did_data %>% - group_by(after, city) %>% - summarize(mean_risk = mean(malaria_risk), - se_risk = sd(malaria_risk) / sqrt(n()), - upper = mean_risk + (1.96 * se_risk), - lower = mean_risk + (-1.96 * se_risk)) - -# Extract parts of the model results for adding annotations -model_results <- tidy(model_did) -before_treatment <- filter(model_results, term == "(Intercept)")$estimate + - filter(model_results, term == "cityCity B")$estimate -diff_diff <- filter(model_results, term == "cityCity B:afterTRUE")$estimate -after_treatment <- before_treatment + diff_diff + - filter(model_results, term == "afterTRUE")$estimate - -ggplot(plot_data, aes(x = after, y = mean_risk, color = city, group = city)) + - geom_pointrange(aes(ymin = lower, ymax = upper)) + - geom_line() + - annotate(geom = "segment", x = FALSE, xend = TRUE, - y = before_treatment, yend = after_treatment - diff_diff, - linetype = "dashed", color = "grey50") + - annotate(geom = "segment", x = 2.1, xend = 2.1, - y = after_treatment, yend = after_treatment - diff_diff, - linetype = "dotted", color = "blue") + - theme(legend.position = "bottom") -``` - -7. **Save the data.** - - The data works, so let's get rid of the intermediate columns we don't need and save it as a CSV file. - -```{r indent=" "} -did_data_final <- did_data %>% - select(id, year, city, net, malaria_risk) -head(did_data_final) -``` - -```{r indent=" ", eval=FALSE} -# Save data -write_csv(did_data_final, "data/diff_diff.csv") -``` - - -### Creating an effect for regression discontinuity - -1. **Draw a DAG that maps out how all the columns you care about are related.** - - Regression discontinuity designs are also based on context instead of models, so the DAG is pretty simple. We'll keep with our mosquito net example and pretend that families that earn less than \$450 a week qualify for a free net. Here's the DAG: - -```{r rdd-dag, indent=" "} -rdd_dag <- dagify(mal ~ net + inc, - net ~ cut, - cut ~ inc, - coords = list(x = c(mal = 4, net = 1, inc = 3, cut = 2), - y = c(mal = 1, net = 1, inc = 2, cut = 1.75))) -ggdag(rdd_dag) + - theme_dag() -``` - -2. **Specify how those nodes are measured.** - - Here's how we'll measure these nodes: - - - **Malaria risk**: scale from 0–100, mostly around 60, but ranging from 30ish to 90ish. Best to use a Beta distribution. - - - **Net use**: binary 0/1, TRUE/FALSE variable. This is technically binomial, but we don't need to simulate it since it will only happen for people who below the cutoff. - - - **Income**: weekly income, measured in dollars, mostly around 500 ± 300. Best to use a normal distribution. - - - **Cutoff**: binary 0/1, below/above $450 variable. This is technically binomial, but we don't need to simulate it since it is entirely based on income. - -3. **Specify the relationships between the nodes based on the DAG equations.** - - There are three models in the DAG: - - - **`cut ~ inc`**: Being above or below the cutpoint is determined by income. We know the cutoff is 450, so we just make an indicator showing if people are below that. - - - **`net ~ cut`**: Net usage is determined by the cutpoint. If people are below the cutpoint, they'll use a net; if not, they won't. We can build in noncompliance here if we want and use fuzzy regression discontinuity. For the sake of this example, we'll do it both ways, just so you can see both sharp and fuzzy synthetic data. - - - **`mal ~ net + inc`**: Malaria risk is determined by both net usage and income. It's also determined by lots of other things (age, education, city, etc.), but we don't need to include those in the DAG because we're using RDD to say that we have good treatment and control groups right around the cutoff. - - We'll pretend that a 1 dollar increase in income is associated with a drop in risk of 0.01, and that using a mosquito net causes a decrease of 10 points on average. That's our causal effect. - -4. **Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled.** - - Let's fake some data! Heavily annotated code below: - -```{r indent=" "} -# Make this randomness consistent -set.seed(1234) - -# Simulate 5441 people (we need a lot bc we're throwing most away) -n_people <- 5441 - -rdd_data <- tibble( - # Make an ID column (not necessary, but nice to have) - id = 1:n_people, - # Generate income variable: normal, 500 ± 300 - income = rnorm(n_people, mean = 500, sd = 75) -) %>% - # Generate cutoff variable - mutate(below_cutoff = ifelse(income < 450, TRUE, FALSE)) %>% - # Generate net variable. We'll make two: one that's sharp and has perfect - # compliance, and one that's fuzzy - # Here's the sharp one. It's easy. If you're below the cutoff you use a net. - mutate(net_sharp = ifelse(below_cutoff == TRUE, TRUE, FALSE)) %>% - # Here's the fuzzy one, which is a little trickier. If you're far away from - # the cutoff, you follow what you're supposed to do (like if your income is - # 800, you don't use the program; if your income is 200, you definitely use - # the program). But if you're close to the cutoff, we'll pretend that there's - # an 80% chance that you'll do what you're supposed to do. - mutate(net_fuzzy = case_when( - # If your income is between 450 and 500, there's a 20% chance of using the program - income >= 450 & income <= 500 ~ sample(c(TRUE, FALSE), n_people, replace = TRUE, prob = c(0.2, 0.8)), - # If your income is above 500, you definitely don't use the program - income > 500 ~ FALSE, - # If your income is between 400 and 450, there's an 80% chance of using the program - income < 450 & income >= 400 ~ sample(c(TRUE, FALSE), n_people, replace = TRUE, prob = c(0.8, 0.2)), - # If your income is below 400, you definitely use the program - income < 400 ~ TRUE - )) %>% - # Finally we can make the malaria risk score, based on income, net use, and - # random noise. We'll make two outcomes: one using the sharp net use and one - # using the fuzzy net use. They have the same effect built in, we just have to - # use net_sharp and net_fuzzy separately. - mutate(malaria_risk_base = rbeta(n_people, shape1 = 4, shape2 = 5) * 100) %>% - # Make the sharp version. There's really a 10 point decrease, but because of - # rescaling, we use 15. I only chose 15 through lots of trial and error (i.e. - # I used -11, ran the RDD model, and the effect was too small; I used -20, ran - # the model, and the effect was too big; I kept changing numbers until landing - # on -15). Risk also goes down as income increases. - mutate(malaria_effect_sharp = (-15 * net_sharp) + (-0.01 * income), - malaria_risk_sharp = malaria_risk_base + malaria_effect_sharp + rnorm(n_people, 0, sd = 3), - malaria_risk_sharp = rescale(malaria_risk_sharp, to = c(5, 70))) %>% - # Do the same thing, but with net_fuzzy - mutate(malaria_effect_fuzzy = (-15 * net_fuzzy) + (-0.01 * income), - malaria_risk_fuzzy = malaria_risk_base + malaria_effect_fuzzy + rnorm(n_people, 0, sd = 3), - malaria_risk_fuzzy = rescale(malaria_risk_fuzzy, to = c(5, 70))) %>% - # Make a version of income that's centered at the cutpoint - mutate(income_centered = income - 450) - -head(rdd_data) -``` - -5. **Verify all relationships with plots and models.** - - Is there a cutoff in the running variable when we use the sharp net variable? Yep! - -```{r sharp-running-var-cutoff, indent=" "} -ggplot(rdd_data, aes(x = income, y = net_sharp, color = below_cutoff)) + - geom_vline(xintercept = 450) + - geom_point(alpha = 0.3, position = position_jitter(width = NULL, height = 0.2)) + - guides(color = "none") -``` - - Is there a cutoff in the running variable when we use the fuzzy net variable? Yep! There are some richer people using the program and some poorer people not using it. - -```{r fuzzy-running-var-cutoff, indent=" "} -ggplot(rdd_data, aes(x = income, y = net_fuzzy, color = below_cutoff)) + - geom_vline(xintercept = 450) + - geom_point(alpha = 0.3, position = position_jitter(width = NULL, height = 0.2)) + - guides(color = "none") -``` - -6. **Try it out!** - - Let's test it! For sharp RDD we need to use this model: - - $$ - \text{Malaria risk} = \beta_0 + \beta_1 \text{Income}_\text{centered} + \beta_2 \text{Net} + \varepsilon - $$ - - We'll use a bandwidth of ±$50, because why not. In real life you'd be more careful about bandwidth selection (or use `rdbwselect()` from the **rdrobust** package to find the optimal bandwidth) - -```{r sharp-results, indent=" ", message=FALSE} -ggplot(rdd_data, aes(x = income, y = malaria_risk_sharp, color = net_sharp)) + - geom_vline(xintercept = 450) + - geom_point(alpha = 0.2, size = 0.5) + - # Add lines for the full range - geom_smooth(data = filter(rdd_data, income_centered <= 0), - method = "lm", se = FALSE, size = 1, linetype = "dashed") + - geom_smooth(data = filter(rdd_data, income_centered > 0), - method = "lm", se = FALSE, size = 1, linetype = "dashed") + - # Add lines for bandwidth = 50 - geom_smooth(data = filter(rdd_data, income_centered >= -50 & income_centered <= 0), - method = "lm", se = FALSE, size = 2) + - geom_smooth(data = filter(rdd_data, income_centered > 0 & income_centered <= 50), - method = "lm", se = FALSE, size = 2) + - theme(legend.position = "bottom") -``` - -```{r indent=" "} -model_sharp <- lm(malaria_risk_sharp ~ income_centered + net_sharp, - data = filter(rdd_data, - income_centered >= -50 & income_centered <= 50)) -tidy(model_sharp) -``` - - There's an effect! For people in the bandwidth, the local average treatment effect of nets is a 10.6 point reduction in malaria risk. - - Let's check if it works with the fuzzy version where there are noncompliers: - -```{r fuzzy-results, indent=" ", message=FALSE} -ggplot(rdd_data, aes(x = income, y = malaria_risk_fuzzy, color = net_fuzzy)) + - geom_vline(xintercept = 450) + - geom_point(alpha = 0.2, size = 0.5) + - # Add lines for the full range - geom_smooth(data = filter(rdd_data, income_centered <= 0), - method = "lm", se = FALSE, size = 1, linetype = "dashed") + - geom_smooth(data = filter(rdd_data, income_centered > 0), - method = "lm", se = FALSE, size = 1, linetype = "dashed") + - # Add lines for bandwidth = 50 - geom_smooth(data = filter(rdd_data, income_centered >= -50 & income_centered <= 0), - method = "lm", se = FALSE, size = 2) + - geom_smooth(data = filter(rdd_data, income_centered > 0 & income_centered <= 50), - method = "lm", se = FALSE, size = 2) + - theme(legend.position = "bottom") -``` - - here's a gap, but it's hard to measure since there are noncompliers on both sides. We can deal with the noncompliance if we use above/below the cutoff as an instrument (see the [fuzzy regression discontinuity guide](/example/rdd-fuzzy.qmd) for a complete example). We should run this set of models: - - $$ - \begin{aligned} - \widehat{\text{Net}} &= \gamma_0 + \gamma_1 \text{Income}_{\text{centered}} + \gamma_2 \text{Below 450} + \omega \\\\ - \text{Malaria risk} &= \beta_0 + \beta_1 \text{Income}\_{\text{centered}} + \beta_2 \widehat{\text{Net}} + \epsilon - \end{aligned} - $$ - - Instead of doing these two stages by hand (ugh), we'll do the 2SLS regression with the `iv_robust()` function from the **estimatr** package: - -```{r indent=" "} -library(estimatr) - -model_fuzzy <- iv_robust(malaria_risk_fuzzy ~ income_centered + net_fuzzy | - income_centered + below_cutoff, - data = filter(rdd_data, - income_centered >= -50 & income_centered <= 50)) -tidy(model_fuzzy) -``` - - The effect is slightly larger now (−11.2), but that's because we are looking at a doubly local ATE: compliers in the bandwidth. But still, it's close to −10, so that's good. And we could probably get it closer if we did other mathy shenanigans like adding squared and cubed terms or using nonparametric estimation with `rdrobust()` in the **rdrobust** package. - -7. **Save the data.** - - The data works, so let's get rid of the intermediate columns we don't need and save it as a CSV file. We'll make two separate CSV files for fuzzy and sharp, just because. - -```{r indent=" "} -rdd_data_final_sharp <- rdd_data %>% - select(id, income, net = net_sharp, malaria_risk = malaria_risk_sharp) -head(rdd_data_final_sharp) - -rdd_data_final_fuzzy <- rdd_data %>% - select(id, income, net = net_fuzzy, malaria_risk = malaria_risk_fuzzy) -head(rdd_data_final_fuzzy) -``` - -```{r indent=" ", eval=FALSE} -# Save data -write_csv(rdd_data_final_sharp, "data/rdd_sharp.csv") -write_csv(rdd_data_final_fuzzy, "data/rdd_fuzzy.csv") -``` - - -### Creating an effect for instrumental variables - -1. **Draw a DAG that maps out how all the columns you care about are related.** - - As with diff-in-diff and regression discontinuity, instrumental variables are a design-based approach to causal inference and thus don't require complicated models (but you can still add control variables!), so their DAGs are simpler. Once again we'll look at the effect of mosquito nets on malaria risk, but this time we'll say that we cannot possibly measure all the confounding factors between net use and malaria risk, so we'll use an instrument to extract the exogeneity from net use. - - [As we talked about in Session 11](/content/11-content.qmd), good plausible instruments are hard to find: they have to cause bed net use and *not* be related to malaria risk *except through* bed net use. - - For this example, we'll pretend that free bed nets are distributed from town halls around the country. We'll use "distance to town hall" as our instrument, since it could arguably maybe work perhaps. Being closer to a town hall makes you more likely to use a net, but being closer to a town halls doesn't make put you at higher or lower risk for malaria on its own—it does that only because it changes your likelihood of getting a net. - - This is where the story for the instrument falls apart, actually; in real life, if you live far away from a town hall, you probably live further from health services and live in more rural places with worse mosquito abatement policies, so you're probably at higher risk of malaria. It's probably a bad instrument, but just go with it. - - Here's the DAG: - -```{r iv-dag, indent=" "} -iv_dag <- dagify(mal ~ net + U, - net ~ dist + U, - coords = list(x = c(mal = 4, net = 2, U = 3, dist = 1), - y = c(mal = 1, net = 1, U = 2, dist = 1.5)), - latent = "U") - -ggdag_status(iv_dag) + - guides(color = "none") + - theme_dag() -``` - -2. **Specify how those nodes are measured.** - - Here's how we'll measure these nodes: - - - **Malaria risk**: scale from 0–100, mostly around 60, but ranging from 30ish to 90ish. Best to use a Beta distribution. - - - **Net use**: binary 0/1, TRUE/FALSE variable. However, since we want to use other variables that increase the likelihood of using a net, we'll do some cool tricky stuff with a bed net score, like we did in the observational DAG example earlier. - - - **Distance**: distance to nearest town hall, measured in kilometers, mostly around 3, with a left skewed long tail (i.e. most people live fairly close, some people live far away). Best to use a Beta distribution (to get the skewed shape) that we then rescale. - - - **Unobserved**: who knows?! There are a lot of unknown confounders. We could generate columns like income, age, education, and health, make them mathematically related to malaria risk and net use, and then throw those columns away in the final data so they're unobserved. That would be fairly easy and intuitive. - - For the sake of simplicity here, we'll make a column called "risk factors," kind of like we did with the "ability" column in [the instrumental variables example](/example/iv.qmd#education-wages-and-fathers-education-fake-data)—it's a magical column that is unmeasurable, but it'll open a backdoor path between net use and malaria risk and thus create endogeneity. It'll be normally distributed around 50, with a standard deviation of 25. - -3. **Specify the relationships between the nodes based on the DAG equations.** - - There are two models in the DAG: - - - **`net ~ dist + U`**: Net usage is determined by both distance and our magical unobserved risk factor column. Net use is technically binomial, but in order to change the likelihood of net use based on distance to town hall and unobserved stuff, we'll do the fancy tricky stuff we did in the observational DAG section above: we'll create a bed net score, increase or decrease that score based on risk factors and distance, scale that score to a 0-1 scale of probabilities, and then draw a binomial 0/1 outcome using those probabilities. - - We'll say that a one kilometer increase in the distance to a town halls reduces the bed net score and a one point increase in risk factors reduces the bed net score. - - - **`mal ~ net + U`**: Malaria risk is determined by both net usage and unkown stuff, or the magical column we're calling "risk factors." We'll say that a one point increase in risk factors increases malaria risk, and that using a mosquito net causes a decrease of 10 points on average. That's our causal effect. - -4. **Generate random columns that stand alone. Generate related columns using regression math. Consider adding random noise. This is an entirely trial and error process until you get numbers that look good. Rely *heavily* on plots as you try different coefficients and parameters. Optionally rescale any columns that go out of reasonable bounds. If you rescale, you'll need to tinker with the coefficients you used since the final effects will also get rescaled.** - - Fake data time! Here's some heavily annotated code: - -```{r indent=" "} -# Make this randomness consistent -set.seed(1234) - -# Simulate 1578 people (just for fun) -n_people <- 1578 - -iv_data <- tibble( - # Make an ID column (not necessary, but nice to have) - id = 1:n_people, - # Generate magical unobserved risk factor variable: normal, 500 ± 300 - risk_factors = rnorm(n_people, mean = 100, sd = 25), - # Generate distance to town hall variable - distance = rbeta(n_people, shape1 = 1, shape2 = 4) -) %>% - # Scale up distance to be 0.1-15 instead of 0-1 - mutate(distance = rescale(distance, to = c(0.1, 15))) %>% - # Generate net variable based on distance, risk factors, and random noise - # Note: These -40 and -2 effects are entirely made up and I got them through a - # lot of trial and error and rerunning this stupid chunk dozens of times - mutate(net_score = 0 + - (-40 * distance) + # Distance effect - (-2 * risk_factors) + # Risk factor effect - rnorm(n_people, mean = 0, sd = 50), # Random noise - net_probability = rescale(net_score, to = c(0.15, 1)), - # Randomly generate a 0/1 variable using that probability - net = rbinom(n_people, 1, net_probability)) %>% - # Generate malaria risk variable based on net use, risk factors, and random noise - mutate(malaria_risk_base = rbeta(n_people, shape1 = 7, shape2 = 5) * 100, - # We're aiming for a -10 net effect, but need to boost it because of rescaling - malaria_effect = (-20 * net) + (0.5 * risk_factors), - # Make the final malaria risk score - malaria_risk = malaria_risk_base + malaria_effect, - # Rescale so it doesn't go below 0 - malaria_risk = rescale(malaria_risk, to = c(5, 80))) -iv_data -``` - -5. **Verify all relationships with plots and models.** - - Is there a relationship between unobserved risk factors and malaria risk? Yep. - -```{r check-risk-malaria, indent=" ", message=FALSE} -ggplot(iv_data, aes(x = risk_factors, y = malaria_risk)) + - geom_point(aes(color = as.factor(net))) + - geom_smooth(method = "lm") -``` - - Is there a relationship between distance to town hall and net use? Yeah, those who live further away are less likely to use a net. - -```{r check-distance-net, indent=" "} -ggplot(iv_data, aes(x = distance, fill = as.factor(net))) + - geom_density(alpha = 0.7) -``` - - Is there a relationship between net use and malaria risk? Haha, yeah, that's a huge highly significant effect. Probably too perfect. We could increase those error bars if we tinker with some of the numbers in the code, but for the sake of this example, we'll leave them like this. - -```{r check-net-risk, indent=" "} -ggplot(iv_data, aes(x = as.factor(net), y = malaria_risk, color = as.factor(net))) + - stat_summary(geom = "pointrange", fun.data = "mean_se") -``` - - -6. **Try it out!** - - Cool, let's see if this works. Remember, we can't actually use the `risk_factors` column in real life, but we will here just to make sure the effect we built in exists. Here's the true effect, where using a net causes a decrease of 10.9 malaria risk points - -```{r indent=" "} -model_forbidden <- lm(malaria_risk ~ net + risk_factors, data = iv_data) -tidy(model_forbidden) -``` - - Since we can't actually use that column, we'll use distance to town hall as an instrument. We should run this set of models: - - $$ - \begin{aligned} - \widehat{\text{Net}} &= \gamma_0 + \gamma_1 \text{Distance to town hall} + \omega \\\\ - \text{Malaria risk} &= \beta_0 + \beta_1 \widehat{\text{Net}} + \epsilon - \end{aligned} - $$ - - We'll run this 2SLS model with the `iv_robust()` function from the **estimatr** package: - -```{r indent=" "} -library(estimatr) - -model_iv <- iv_robust(malaria_risk ~ net | distance, data = iv_data) -tidy(model_iv) -``` - - …and it's relatively close, I guess, at −8.2. Getting instrumental variables to find exact causal effects is tricky, but I'm fine with this for simulated data. - -7. **Save the data.** - - The data works well enough, so we'll get rid of the extra intermediate columns and save it as a CSV file. We'll keep the forbidden `risk_factors` column just for fun. - -```{r indent=" "} -iv_data_final <- iv_data %>% - select(id, net, distance, malaria_risk, risk_factors) - -head(iv_data_final) -``` - -```{r indent=" ", eval=FALSE} -# Save data -write_csv(iv_data_final, "data/bed_nets_iv.csv") -``` - - -## Use synthetic data packages - -There are several R packages that let you generate synthetic data with built-in relationships in a more automatic way. They all work a little differently, and if you're interested in trying them out, make sure you check the documentation for details. - -### fabricatr - -The [**fabricatr** package](https://declaredesign.org/r/fabricatr/) is a very powerful package for simulating data. It was invented specifically for using in preregistered studies, so it can handle a ton of different data structures like [panel data](https://declaredesign.org/r/fabricatr/articles/cross_classified.html) and [time series data](https://declaredesign.org/r/fabricatr/articles/time_series.html). You can build in causal effects and force columns to be correlated with each other. - -**fabricatr** has exceptionally well-written documentation with like a billion detailed examples (see [the right sidebar here](https://declaredesign.org/r/fabricatr/)). This is a gold standard package and you should most definitely check it out. - -Here's a simple example of simulating a bunch of voters and making older ones more likely to vote: - -```{r} -library(fabricatr) - -set.seed(1234) - -fake_voters <- fabricate( - # Make 100 people - N = 100, - # Age uniformly distributed between 18 and 85 - age = round(runif(N, 18, 85)), - # Older people more likely to vote - turnout = draw_binary(prob = ifelse(age < 40, 0.4, 0.7), N = N) -) - -head(fake_voters) -``` - -And here's an example of country-year panel data where there are country-specific and year-specific effects on GDP: - -```{r} -set.seed(1234) - -panel_global_data <- fabricate( - years = add_level( - N = 10, - ts_year = 0:9, - year_shock = rnorm(N, 0, 0.3) - ), - countries = add_level( - N = 5, - base_gdp = runif(N, 15, 22), - growth_units = runif(N, 0.25, 0.5), - growth_error = runif(N, 0.15, 0.5), - nest = FALSE - ), - country_years = cross_levels( - by = join_using(years, countries), - gdp_measure = base_gdp + year_shock + (ts_year * growth_units) + - rnorm(N, sd = growth_error) - ) -) %>% - # Scale up the years to be actual years instead of 1, 2, 3, etc. - mutate(year = ts_year + 2010) - -head(panel_global_data) -``` - -```{r fake-panel-data} -ggplot(panel_global_data, aes(x = year, y = gdp_measure, color = countries)) + - geom_line() + - labs(x = "Year", y = "Log GDP", color = "Countries") -``` - -That all just scratches the surface of what **fabricatr** can do. Again, check the examples and documentation and play around with it to see what else it can do. - -### wakefield - -The [**wakefield** package](https://github.com/trinker/wakefield) is jokingly named after [Andrew Wakefield](https://en.wikipedia.org/wiki/Andrew_Wakefield), the British researcher who invented fake data to show that the MMR vaccine causes autism. This package lets you quickly generate random fake datasets. It has a bunch of pre-set column possibilities, like age, color, Likert scales, political parties, religion, and so on, and you can also use standard R functions like `rnorm()`, `rbinom()`, or `rbeta()`. It also lets you create repeated measures (1st grade score, 2nd grade score, 3rd grade score, etc.) and build correlations between variables. - -You should *definitely* [look at the documentation](https://github.com/trinker/wakefield) to see a ton of examples of how it all works. Here's a basic example: - -```{r message=FALSE, warning=FALSE} -library(wakefield) - -set.seed(1234) - -wakefield_data <- r_data_frame( - n = 500, - id, - treatment = rbinom(1, 0.3), # 30% chance of being in treatment - outcome = rnorm(mean = 500, sd = 100), - race, - age = age(x = 18:45), - sex = sex_inclusive(), - survey_question_1 = likert(), - survey_question_2 = likert() -) -head(wakefield_data) -``` - -### faux - -The [**faux** package](https://debruine.github.io/faux/) does some really neat things. We can create data that has built-in correlations without going through all the math. For instance, let's say we have 3 variables A, B, and C that are normally distributed with these parameters: - -- **A**: mean = 10, sd = 2 -- **B**: mean = 5, sd = 1 -- **C**: mean = 20, sd = 5 - -We want A to correlate with B at r = 0.8 (highly correlated), A to correlate with C at r = 0.3 (less correlated), and B to correlate with C at r = 0.4 (moderately correlated). Here's how to create that data with **faux**: - -```{r warning=FALSE, message=FALSE} -library(faux) - -set.seed(1234) - -faux_data <- rnorm_multi(n = 100, - mu = c(10, 5, 20), - sd = c(2, 1, 5), - r = c(0.8, 0.3, 0.4), - varnames = c("A", "B", "C"), - empirical = FALSE) -head(faux_data) - -# Check averages and standard deviations -faux_data %>% - # Convert to long/tidy so we can group and summarize - pivot_longer(cols = everything(), names_to = "variable", values_to = "value") %>% - group_by(variable) %>% - summarize(mean = mean(value), - sd = sd(value)) - -# Check correlations -cor(faux_data$A, faux_data$B) -cor(faux_data$A, faux_data$C) -cor(faux_data$B, faux_data$C) -``` - -**faux** can do a ton of other things too, so make sure you check out [the documentation and all the articles with examples here](https://debruine.github.io/faux/). diff --git a/files/INFERENCIA.jpg b/files/INFERENCIA.jpg new file mode 100644 index 00000000..017b5331 Binary files /dev/null and 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    +*/ + +.image-cropper { + width: 80px; + height: 80px; + position: relative; + overflow: hidden; + border-radius: 70%; +} +.profile-pic { +display: inline; +margin: 0 auto; +margin-right: inherit; //centers the image +height: 50%; +width: auto; +} diff --git a/images/hex-transparent.png b/images/hex-transparent.png new file mode 100644 index 00000000..1c92ba48 Binary files /dev/null and b/images/hex-transparent.png differ diff --git a/images/hex.png b/images/hex.png new file mode 100644 index 00000000..e98ea63c Binary files /dev/null and b/images/hex.png differ diff --git a/images/logo.png b/images/logo.png new file mode 100644 index 00000000..e30ddc1f Binary files /dev/null and b/images/logo.png differ diff --git a/images/paste-1.png b/images/paste-1.png new file mode 100644 index 00000000..d061b289 Binary files /dev/null and b/images/paste-1.png differ diff --git a/index.qmd b/index.qmd index defda873..2f115c5d 100644 --- a/index.qmd +++ b/index.qmd @@ -1,8 +1,8 @@ --- -title: "Program Evaluation for Public Service" -subtitle: "Combine research design, causal inference, and econometric tools to measure the effects of social programs" +title: "Estadística Correlacional" +subtitle: "Inferencia, asociación y reporte" details: | - PMAP 8521 • Spring 2023
    Andrew Young School of Policy Studies
    Georgia State University + SOC01019 • Segundo Semestre 2024
    Departamento de Sociología, Facultad de Ciencias Sociales
    Universidad de Chile sidebar: false toc: false page-layout: full @@ -10,7 +10,15 @@ format: html: template-partials: - html/home/title-block.html -course-logo: /files/img/eval-hires.png +execute: + freeze: auto +course-logo: /files/logo-correlacional.png +listing: + id: informaciones + contents: "news/2024*.qmd" + type: grid + sort: "date desc" + categories: false --- ```{r set-dependencies, include=FALSE} @@ -22,40 +30,119 @@ withr::with_dir(here::here(), { }) ``` -::: {.home} +:::: {.columns} -::: {.grid .course-details} +:::: {style="background-color: #BDCDCD"} -::: {.g-col-12 .g-col-sm-6 .g-col-md-4} -### Instructor +### Equipo docente +::: {.column width="40%"} + + +**Profesor** + +
    + avatar +
    + + + +[{{< var instructor.name >}}]({{< var instructor.url >}}) -- {{< fa user >}}   [{{< var instructor.name >}}]({{< var instructor.url >}}) - {{< fa university >}}   {{< var instructor.office >}} -- {{< fa envelope >}}   {{< var instructor.email >}} -- {{< fa brands twitter >}}   [{{< var instructor.twitter >}}](https://www.twitter.com/{{< var instructor.twitter >}}) -- {{< fa calendar-check >}}   [Schedule an appointment]({{< var instructor.appointment_url >}}) +- {{< fa envelope >}}   {{< var instructor.email >}} +- {{< fa calendar-check >}}   [Agendar reunión]({{< var instructor.appointment_url >}}) + ::: -::: {.g-col-12 .g-col-sm-6 .g-col-md-4} -### Course details +::: {.column width="10%"} -- {{< fa calendar >}}   {{< var course.days >}} -- {{< fa calendar-alt >}}   {{< var course.dates >}} -- {{< fa clock >}}   {{< var course.time >}} -- {{< fa location-dot >}}   {{< var course.location >}} -- {{< fa brands slack >}}   [Slack]({{< var course.slack >}}) ::: -::: {.g-col-12 .g-col-md-4 .contact-policy} -### Contacting me +::: {.column width="38%"} + +**Apoyos docentes** + +
    + avatar +
    + +*Martín Venegas* + +- {{< fa envelope >}}   {{< var other2.email >}} + +
    + avatar +
    + + +*Andreas Laffert* + +- {{< fa envelope >}}   {{< var other.email >}} -{{< var instructor.contact_policy >}} ::: +:::: {.columns} + +**Ayudantes** + +::: {.column width="32%"} + +- Victoria Arias +- Jesús Díaz +- Javiera González +- Antonia Jiménez ::: -```{r echo=FALSE} -knitr::include_graphics(here::here("files", "img", "eval-flowchart.png"), error = FALSE) -``` +::: {.column width="32%"} +- Sophia Karoussis +- Cristóbal Mejías +- María Fernanda Núñez +- Luis Ríos +::: +::: {.column width="32%"} +- Fernanda Zúñiga +- Ismael Aguayo +- Franco Acevedo ::: + +:::: +:::: + +:::: {.columns} + +::: {.column width="40%"} +### Sesiones + +- {{< fa university >}}   **Lunes 10:15-11:45** - Aulario C/6 + +- {{< fa university >}}   **Martes 8:30-10:00** Aulario C7/C8 & FACSO 345 +::: + +::: {.column width="10%"} + +::: + +::: {.column width="38%"} +### Contacto + +{{< var instructor.contact_policy >}} +Para resolver dudas puntuales se recomienda el uso de los foros de [clases](/content/foro-clases.qmd) y de las [Guías prácticas](/assignment/foro-practicos.qmd). +::: + +:::: + + +## Últimas informaciones + +::: {#informaciones} +::: + +-> ir a [página de Informaciones](/news/index.qmd) + + +## Versiones previas del curso: + +- [2023](https://2023--correlacional.netlify.app/) + + diff --git a/news/2023-01-09_announcements-updates.qmd b/news/2023-01-09_announcements-updates.qmd deleted file mode 100644 index 2d29332c..00000000 --- a/news/2023-01-09_announcements-updates.qmd +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: "Announcements and updates" -date: "2023-01-09T14:19" -categories: [getting started] ---- - -One last thing! - -Over the course of the semester, I’ll be sending you lots of updates and announcements and FAQs based on your weekly check-ins. - -My philosophy for this class is to let you maintain access to as much content as possible, which is why so little of the the class material is on iCollege. - -I will post all these announcements and e-mails at [the "News" section](/news/index.qmd) of the course website. This means that even after you finish the class and lose access to iCollege, and even after you graduate from GSU and lose access to your @gsu.edu e-mail address, you’ll still have a searchable archive of messages and FAQs from this class. - -I’ll let you know when there’s a new item in the news section in a few different ways: - -1. I’ll e-mail you a link to the newest message. I’ll use the e-mail address you have listed in PAWS—if you want me to use a different address, let me know and I’ll update my list, -2. New messages should post automatically to the #general channel in Slack -3. If you use an RSS feed reader (RIP Google Reader), you can subscribe to an RSS feed of the news section. There’s a link at the bottom of [the news page](/news/index.qmd). - -Phew. That should be it from me for a while. Remember to read the syllabus and the rest of the course website, answer the welcome survey, sign up for Slack, and join the RStudio.cloud workspace. Also, remember to take care of yourselves! I mean *every word* in [the "Learning during a pandemic" section of the syllabus](/syllabus.qmd#learning-during-a-pandemic). This all sucks so much, and I will try my hardest to accommodate your needs throughout the semester. - -Thanks! diff --git a/news/2023-01-09_important-r-stuff.qmd b/news/2023-01-09_important-r-stuff.qmd deleted file mode 100644 index d3928a98..00000000 --- a/news/2023-01-09_important-r-stuff.qmd +++ /dev/null @@ -1,15 +0,0 @@ ---- -title: "Important R stuff" -date: "2023-01-09T14:14" -categories: [getting started] ---- - -From reading the syllabus you'll notice that we're using R in this class (though you can certainly use Stata too if you really want). R is free (!!), and highly sought after by employers, but it has a little bit of an initial learning curve. You'll get the hang of it, though, I promise! I'm a certified RStudio instructor (see ), so I've been specially trained to teach statistical programming. Again, I promise that you'll learn a ton. - -You'll be doing your stats work in RStudio this semester. While R and RStudio are free and open source, they can sometimes be tricky to install. To make life simpler, you can run RStudio in your browser without having to install anything (!!!). Over the course of the semester you'll want to eventually install everything on your actual computer, since it'll run faster there, but you won't need to install anything to get started. I'll e-mail you a link to join the class workspace. - -In the meantime, you can also install everything on your actual computer if you [follow these instructions](/resource/install.qmd) (eventually you should do this—it's best to run R on your own computer, but it's totally fine to run everything at Posit Cloud for the first few weeks) - -If you want to get a head start on your first assignment, I’d recommend going through a few of the Posit Primers at . Your first problem set is essentially doing those primers ([see here for the ones you'll need to do](/example/rstudio-tidyverse.qmd)) - -Once again, I promise that you can do this and have a blast in this class! diff --git a/news/2023-01-09_welcome.qmd b/news/2023-01-09_welcome.qmd deleted file mode 100644 index e911219e..00000000 --- a/news/2023-01-09_welcome.qmd +++ /dev/null @@ -1,31 +0,0 @@ ---- -title: "Welcome to class!" -date: "2023-01-09T14:01" -categories: [getting started] ---- - -Hello everyone! - -I’m Andrew Heiss, your professor for PMAP 8521 (Evaluation Research) this spring, and I’m so excited for the class! In this class you'll learn all about causal inference, or how to legally claim causation with statistics. In your past stats courses you were always taught "correlation isn't causation," which is mostly true, except when it's not. In this class you'll get to legitimately make causal claims. - -We'll cover fun tools like directed acyclic graphs (DAGs), randomized controlled trials, difference-in-differences analysis, regression discontinuity analysis, and instrumental variables. You'll also learn the statistical language R, which is free (which means you can keep using it after you graduate and not have to pay for really really expensive SPSS or Stata licenses). I've had former students get jobs because of the R part of this class—tons of organizations are looking for R skills nowadays. - -I have a few important announcements before class: - -- We are meeting in person, but as you'll see in the syllabus (see the ["Masking and vaccines" section](/syllabus.qmd#pandemic-stuff) there, I'm trying to take as many precautions as possible since there’s still a global pandemic. For instance… - -- …I've made the course a flipped course, which means you'll do all the readings and watch the lectures on YouTube *before* class on Thursdays. We'll spend our class time answering questions, doing activities, and learning a lot of R together. This means that the bulk of the course material is fully online and asynchronous. - -- Before class, I'd love to get to know each you a little first, so I've created a quick survey to fill out. I've sent you a link to it via e-mail. Please take it at your earliest convenience. - -- The entire course is available at a special class website at . Bookmark this site—it'll be your best friend for the next semester. I only use iCollege for collecting your assignments, posting answer keys, posting a couple scanned book chapters, and offering the two exams (since it's password protected). This website is the official source of dates and all other class information. Because it's not part of iCollege, you'll be able to reference it even after you graduate and lose access to GSU resources. You can even share it with others—it's just a website! - -- **Please read the main explanatory pages at the course website at your earliest convenience.** The instructions and expectations for the class are divided across different pages, all accessible from the menu bar at the top of the site. Please read the main pages for the [syllabus](/syllabus.qmd), [schedule](/schedule.qmd), [content](/content/index.qmd), [assignments](/assignment/index.qmd), and [examples](/example/index.qmd). - -- We're using zero physical textbooks in this class. Every reading and book and piece of software in this class is 100% **free** ([see the syllabus for more information about that](/syllabus.qmd#course-materials)). - -Quick background about me: I'm an assistant professor here at the Andrew Young School, where I've been teaching MPA/MPP microeconomics, program evaluation, and data visualization. I moved here from Utah in 2019, where I was a visiting professor of public management at the Marriott School of Business at Brigham Young University (BYU). While at BYU, I taught microeconomics, statistics, and data visualization (basically the same stuff I’m teaching now). I finished my PhD in public policy and political science from Duke in 2017, and before then I finished my MPA in nonprofit management from BYU in 2012. - -When I'm not teaching stats and evaluation, I research international nonprofits and political science. And when I’m not teaching or researching, I’m normally chilling at home with my 6 (!!) kids (see for photos and hilarious stories). - -Again, I'm really excited to get started next week. This spring semester should be a blast! diff --git a/news/2023-01-12_first-day.qmd b/news/2023-01-12_first-day.qmd deleted file mode 100644 index d3740ea8..00000000 --- a/news/2023-01-12_first-day.qmd +++ /dev/null @@ -1,19 +0,0 @@ ---- -title: "Plan for the first day of class" -date: "2023-01-12T09:49" -categories: [getting started] ---- - -Hi everyone! - -Today’s the first day of class! Exciting! - -Beyond hoping that everyone is wearing a mask, I've structured the class in way that limits our exposure to each other as much as possible. [As noted in the syllabus](https://evalsp23.classes.andrewheiss.com/syllabus.html#course-structure), we're using a flipped classroom this semester. What this means in practice is that you'll do all the readings *and* watch asynchronous lecture videos before class meets on Thursdays. - -Our in-person time will **not** involve lectures. Instead, it'll be a more hands-on lab for working with R and answering the questions that come up from doing the readings and watching the lectures. That's the point of the [weekly check-in assignment](https://evalsp23.classes.andrewheiss.com/assignment/weekly-check-in.html)—the only way this in-person time will be effective is if you do the readings + videos and ask questions in the weekly check-in. - -The videos for the first day of class are [live and ready to watch](https://evalsp23.classes.andrewheiss.com/content/01-content.html). If possible, please watch them (and do the readings) before class today so that we can start with the lab-like in-person time and get a good solid introduction to R and RStudio + answer the questions you have from the first session's materials. - -Ideally, please try to submit the first weekly check-in on iCollege by today too so that we can have some good Q&A time during our in-person time. [BUT no worries if not!](https://www.huffingtonpost.co.uk/entry/no-worries-if-not-psychology_uk_60fff90be4b0d017f838bf1a) - -If you don't have time to get through the materials before the first day, that's totally fine—you can do it later and there's no late penalty or anything for the first week. But if you can, let's get started! diff --git a/news/2023-01-12_getting-help.qmd b/news/2023-01-12_getting-help.qmd deleted file mode 100644 index 39ce6355..00000000 --- a/news/2023-01-12_getting-help.qmd +++ /dev/null @@ -1,55 +0,0 @@ ---- -title: "How to reach out for help" -date: "2023-01-12T17:33" -categories: [advice] ---- - -Hi everyone! - -You **absolutely** can (and should) reach out when you get stuck. I'm super responsive on Slack and e-mail. If you ask a question on the #help channel in Slack, others can help too. No question is too tricky or embarrassing, I promise. Computers are extraordinarily literal and tiny typos will often mess you up for a long time—I've lost countless time because of missing commas and misspelled words (curse you `lenght()`). Please feel comfortable reaching out. - -### Ask early and often - -I'm a big believer in the 30 minute rule. **If you're stuck and not making progress on a task for 30 minutes, reach out for help from the community.** - -### Be nice - -One of the great parts about the online R community is that the team at RStudio has actually hired people to help promote community norms. Like that's their whole job—community evangelist (see [\@dataandme](https://twitter.com/dataandme) and [\@RachaelDempsey](https://twitter.com/_RachaelDempsey) for instance). The R world is probably one of the nicest corners of the programming internet because of these norms—there's an emphasis on helping beginners, being kind and respectful, and cheerfully helping as much as possible. Watch the #rstats hashtag on Twitter, look at the "r" tag on StackOverflow, and look at discussions at [the RStudio Community](https://community.rstudio.com/) and you'll see kindness in action. - -This was not always the case. 10ish years ago, before the RStudio people made a concerted effort to create community, the online R world was pretty mean and toxic, with forums run by a few really grumpy statisticians who'd belittle you if you asked a poorly worded question. It was awful. That kind of attitude often still persists in other languages (hooo boy try asking a beginner question about Python at StackOverflow 😬), but the R world has tried really hard to be welcoming. - -I embrace that attitude when teaching R, and I encourage you all to do the same. Reach out for help early and often. Do not suffer in silence. Do not spend hours and hours stuck on an issue before reaching out for help. If you feel comfortable, reach out publicly on the #help channel rather than a Slack DM so that others can help. This helps build and strengthen the community within our class and within the R community more broadly. - -### Ask in a way that helps the answerer - -There are a few easy guidelines to remember when asking for help: - -1. Be kind. - -2. Try asking questions with as complete information as possible. Rather than saying something like "my code isn't working" and that's it, provide more background (it's hard to read your computer's mind). Say specifically what you're trying to do and provide code when possible. - - Some people call this [low resolution writing vs. high resolution writing.](https://chriscoyier.net/2022/12/28/watch-out-for-low-resolution-writing/). With low resolution writing on Slakc, you'd type "My code isn't working," and then you'll have to wait for someone to respond with "What isn't working?," and then you'll respond with "My code for question 3," and then you'll have to wait for someone to respond with "What part of question 3?" and so on and it can take forever. Avoid this where possible. Embrace high resolution writing instead. Have your initial message be something like "In question 3 of the problem set, I'm trying to run a regression model that includes `income` as an independent variable. I'm running this code (CODE HERE), but I'm getting an error that says (ERROR HERE)." You'll get help *way* faster that way. - - You can actually format R code on Slack if you click on the little lightning icon in the bottom left of the typing area and search for "text snippet"—that'll open a dialog that will let you paste in text and add R syntax highlighting. You can also paste your code between triple backticks on Slack and it'll format it in monospaced font (though not with the neat syntax highlighting that you get when using Slack's text snippet thing): - - ```` - ``` - ggplot(blah) + geom_point() - ``` - ```` - - You can also take screenshots (use ⌘+shift+4 on macOS to save a screenshot to your Desktop, or ⌘+⌥+shift+4 to save a screenshot directly to the clipboard; use Windows+shift+S on Windows to save a screenshot directly to the clipboard). I've had people send photos from their phones too. The one issue with screenshots/photos is that it's harder for people to get the code out of Slack and into RStudio on their computer to troubleshoot, since you can't copy/paste from an image. - -3. Try making your question a **repr**oducible **ex**ample (or reprex). Reprexes are the best way to (1) get help online and (2) fix issues on your own. - - Making a good reprex is tricky, but it's a very valuable skill to know (regardless of programming language!). Here are some helpful resources for making them: - - - {{< fa arrow-up-right-from-square >}} [What's a reproducible example (`reprex`) and how do I do one?](https://community.rstudio.com/t/faq-whats-a-reproducible-example-reprex-and-how-do-i-do-one/5219) - - {{< fa arrow-up-right-from-square >}} [So you've been asked to make a reprex](https://www.jessemaegan.com/post/so-you-ve-been-asked-to-make-a-reprex/) - - {{< fa brands r-project >}} [The reprex package](https://reprex.tidyverse.org/index.html) - -### Don't suffer in silence - -And that's it. **Ask questions in ways that will help answerers answer them and be nice about it. When answering questions, be nice about it. Ask lots of questions. Answer lots of questions.** - -Once again, *do not suffer in silence*. I've had past students tell me that's like the one thing they'll remember from my classes—do not suffer in silence. I mean it, and I'll keep saying it throughout the semester (because often in your past courses and degrees, you've been discouraged from reaching out or from building communities or whatever—that is *not* the case here). diff --git a/news/2023-01-12_weather-issues.qmd b/news/2023-01-12_weather-issues.qmd deleted file mode 100644 index a1f6ebe4..00000000 --- a/news/2023-01-12_weather-issues.qmd +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: "Weather issues" -date: "2023-01-12T16:17" -categories: [scheduling] ---- - -Hi everyone! - -Given the wild weather right now, lots of you have been concerned with getting to campus for class this evening. In theory the worst of the storm should be over by 6ish, but if you’re not already on campus, you’ll have to deal with commuting and parking and walking. - -In the [“Attendance and Participation” section of the syllabus](/syllabus.qmd#attendance-and-participation) I mentioned that I will stream our Thursday classes via Webex. You can access the link for that through iCollege (there should be a Webex link in the navigation bar). - -If you can’t come this evening because of the weather that’s totally fine! You can connect remotely. diff --git a/news/2024-08-19_cambio-practico.qmd b/news/2024-08-19_cambio-practico.qmd new file mode 100644 index 00000000..a28f690f --- /dev/null +++ b/news/2024-08-19_cambio-practico.qmd @@ -0,0 +1,10 @@ +--- +title: "Prácticos parten próxima semana (Martes 27)" +date: "2024-08-19" +categories: [info] +lang: es +image: /files/logo-correlacional.png +--- + +Inicialmente en el programa estaba contemplado que esta semana el martes 20 comenzaba la primera sesión de prácticos, para lo cual debían traer sus computadores. Esto se modifica, el práctico es el próximo **martes 27**. + diff --git a/news/2024-08-19_inicio.qmd b/news/2024-08-19_inicio.qmd new file mode 100644 index 00000000..91e5ee29 --- /dev/null +++ b/news/2024-08-19_inicio.qmd @@ -0,0 +1,12 @@ +--- +title: "Informaciones por acá" +date: "2024-08-19" +categories: [info] +image: /files/logo-correlacional.png +--- + +Estimad_s estudiantes, acá en esta pestaña quedará registro de las informaciones y actualizaciones del curso. De todas maneras se enviará link por correo a UCursos cuando haya noticias relevantes. + + +- + diff --git a/news/2024-08-23_primera-practica.qmd b/news/2024-08-23_primera-practica.qmd new file mode 100644 index 00000000..485f6d7e --- /dev/null +++ b/news/2024-08-23_primera-practica.qmd @@ -0,0 +1,20 @@ +--- +title: "Sesión práctica martes 27 de agosto" +date: "2024-08-23" +categories: [info, mail-UCursos] +lang: es +image: /files/logo-correlacional.png +--- +Algunas informaciones importantes: + +-El próximo martes 27 de agosto tendremos nuestra primera sesión práctica del curso. + +-En esta instancia contaremos con el equipo docente completo y ayudantes. + +-Aquellas personas que, por diversos motivos, no puedan contar con un computador personal para las sesiones del curso, les pedimos encarecidamente que rellenen este formulario: https://forms.gle/iGVJjAWRGYh9GGpZ8 Esta información nos permitirá ir organizando el uso de computadores de la sala de computación. + +-Nos dividiremos en dos grupos: una parte del curso en las salas C7 y C8 del aulario C (idealmente quienes dispongan de computador) y otra parte en la sala 345 de computación del edificio nuevo de Facso (para quienes no puedan contar con un computador). + +-Dentro de la próxima semana les enviaremos un correo respecto a la asignación de ayudantes para el asesoramiento en las unidades 1 y 2 del curso. + + diff --git a/news/2024-08-28_asignacion_ayudantes1.qmd b/news/2024-08-28_asignacion_ayudantes1.qmd new file mode 100644 index 00000000..251318fe --- /dev/null +++ b/news/2024-08-28_asignacion_ayudantes1.qmd @@ -0,0 +1,48 @@ +--- +title: "Asignación asesorías ayudantes" +date: today +categories: [info, mail-UCursos] +lang: es +image: /files/logo-correlacional.png +--- + +Durante las dos primeras unidades del curso l_s estudiantes están asignados a un/a ayudante para consultas y/o apoyo con los contenidos del curso. Sus ayudantes se contactarán con uds. para indicarles la forma y momentos de asesoría, también pueden ser contactados directamente mediante el correo de UCursos. + + +```{r} +#| echo: false +#| warning: false + +library(readxl);library(tidyverse);library(kableExtra);library(here) + +collapse_rows_df <- function(df, variable){ + group_var <- enquo(variable) + df %>% + group_by(!! group_var) %>% + mutate(groupRow = 1:n()) %>% + ungroup() %>% + mutate(!!quo_name(group_var) := ifelse(groupRow == 1, as.character(!! group_var), "")) %>% + select(-c(groupRow)) +} + +tabla <- read_excel(path = here("data/organizacion_correlacional_2024.xlsx"), + sheet = 2, + range = "B1:C91") %>% + rename(Ayudante = `Ayudante-1`) %>% + mutate(Ayudante = factor(Ayudante, levels = unique(Ayudante))) + +tabla <- tabla %>% + collapse_rows_df(Ayudante) %>% + kableExtra::kable(format = "html", booktabs = T, escape = F, align = 'c') %>% + kableExtra::kable_styling(latex_options = "hold_position", font_size = 13, position = "center") %>% + kableExtra::kable_styling(bootstrap_options = c("striped", "condensed"), full_width = T) %>% + column_spec(1, border_right = T) %>% + row_spec(0, bold = T) + +tabla +``` + + +Por dudas, comentarios o cambios respecto a esta asignación escribir a Andreas Laffert (Apoyo Docente) por UCursos. + + diff --git a/news/index.qmd b/news/index.qmd index 9ede3651..93018e41 100644 --- a/news/index.qmd +++ b/news/index.qmd @@ -1,5 +1,6 @@ --- -title: "News" +title: "Informaciones" +lang: es listing: id: "news-table" contents: . @@ -12,8 +13,8 @@ listing: sort-ui: true date-format: "dddd MMMM D, YYYY [at] h:mm A" feed: - title: "Program Evaluation (PMAP 8521) News" - description: "Updates and FAQs for PMAP 8521 at Georgia State University" + title: "Noticias y mensajes importantes Estadística Correlacional" +# description: "Updates and FAQs for PMAP 8521 at Georgia State University" categories: false page-layout: full sidebar: false @@ -25,6 +26,8 @@ format: - ../html/news-default/title-block.html --- +Acá las principales informaciones y actualizaciones del curso. + ```{r get-vars, include=FALSE} base_url <- yaml::read_yaml(here::here("_quarto.yml"))$website$`site-url` feed_name <- "news/index.xml" @@ -36,9 +39,10 @@ feed_url <- paste0(base_url, "/", feed_name) ::: {.callout-tip} -## Subscribe! +## Suscribirse! -You can use a feed reader like [Feedly](https://feedly.com/) or use an [RSS-to-email service](https://www.google.com/search?q=rss+to+email) like [Blogtrottr](https://blogtrottr.com/) to subscribe to these updates and messages. I'll also e-mail out links to them when there are new updates. +Puedes usar un lector de feeds como [Feedly](https://feedly.com/) o un servicio [RSS-to-email](https://www.google.com/search?q=rss+to+email) como [Blogtrottr](https://blogtrottr.com/) para suscribirte a cualquiera de estos mensajes. +::: ::: {.grid} @@ -52,4 +56,3 @@ You can use a feed reader like [Feedly](https://feedly.com/) or use an [RSS-to-e ::: -::: diff --git a/resource/bayes.qmd b/resource/bayes.qmd deleted file mode 100644 index 204e8d53..00000000 --- a/resource/bayes.qmd +++ /dev/null @@ -1,441 +0,0 @@ ---- -title: Bayesian statistics resources -format: - html: - code-tools: true - code-fold: show ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, fig.align = "center", - fig.retina = 3, collapse = TRUE, out.width = "75%") -set.seed(1234) -options("digits" = 2, "width" = 150) -``` - -In class session 2 ([see this from the FAQ slides](/slides/02-class.html#12)) we talked briefly about the difference between frequentist statistics, where you test for the probability of your data given a null hypothesis, or $P(\text{data} \mid H_0)$, and Bayesian statistics, where you test for the probability of your hypothesis given your data, or $P(H \mid \text{data})$. - -This difference is important. In the world of frequentism and null hypothesis significance testing (NHST), which is what pretty much all statistics classes use (including this one!), you have to compare your findings to a hypothetical null world and you have to talk about rejecting null hypotheses. In the Bayes world, though, you get to talk about the probability that your hypothesis is correct rather than the probability of seeing a value in a null world. So much more convenient and easy to interpret! - -Bayesian statistics, though, requires a lot of computational power and a different way of thinking about statistics and numbers in general. And very few classes teach it. Including this one! I use Bayesian stats all the time in my own research (see [this](https://www.andrewheiss.com/research/articles/chaudhry-heiss-ngos-philanthropy/) or [this](https://www.andrewheiss.com/research/articles/chaudhry-dotson-heiss-2021/), for instance), but don't teach it (yet!) because nobody else really teaches it and frequentist statistics still rule the policy world, so you need to know it. - -## Resources - -But you can learn it on your own. Because very few stats classes actually teach Bayesian statistics, tons of people who use it are self-taught (like me!), in part because there are a ton of resources online for learning this stuff. Here are some of the best I've found: - -- [This new *Bayes Rules* book](https://www.bayesrulesbook.com/) is designed to be an introductory textbook for a stats class teaching Bayesian stuff. It’s really accessible and good (and free!). If I ever get to teach an intro stats class with Bayesian stats, I'll use this. -- [This post from 2016](https://thinkinator.com/2016/01/12/r-users-will-now-inevitably-become-bayesians/) is a great short introduction and is what made me start using Bayesian methods. [The **brms** package](https://paul-buerkner.github.io/brms/) makes it incredibly easy to do Bayesian stuff, and the syntax is basically the same as `lm()` -- [This post shows how to do one simple task](https://www.andrewheiss.com/blog/2019/01/29/diff-means-half-dozen-ways/) (a difference-in-means test) with regular old frequentist methods, bootstrapping, and with Bayesian stats both with brms and raw Stan code -- [This short post](https://www.tjmahr.com/bayes-theorem-in-three-panels/) gives a helpful overview of the intuition behind Bayesianism -- The super canonical everyone-has-this-book book is [*Statistical Rethinking* by Richard McElreath](https://xcelab.net/rm/statistical-rethinking/). At that page he also has an entire set of accompanying lectures on YouTube. He doesn’t use brms or ggplot, but someone has translated all his models to [tidyverse-based brms code here](https://bookdown.org/ajkurz/Statistical_Rethinking_recoded/) -- [*The Theory That Would Not Die*](https://www.amazon.com/Theory-That-Would-Not-Die/dp/0300188226) is a fun little general introduction to the history of Bayesianism and why it kind of disappeared in the 20th century and was replaced by frequentism and p-values and null hypothesis testing - -## Super short example - -In practice, the R code for Bayesian models should be very familiar. For instance, here's a regular old frequentist OLS model: - -```{r freq-model, message=FALSE, warning=FALSE} -library(tidyverse) -library(broom) - -model_ols <- lm(hwy ~ displ + drv, data = mpg) -tidy(model_ols, conf.int = TRUE) -``` - -Here's that same model using the **brms** package, with default priors. Note how the code is basically the same: - -```{r bayes-libraries, message=FALSE, warning=FALSE} -library(tidyverse) -library(brms) # For Bayesian regression with brm() -library(broom.mixed) # For tidy() and glance() with brms-based models -library(tidybayes) # For extracting posterior draws -``` - -```{r bayes-model, message=FALSE, warning=FALSE, results='hide', cache=TRUE} -# This will take a few seconds to run -model_bayes <- brm(hwy ~ displ + drv, data = mpg) -``` - -```{r show-bayes-results, warning=FALSE} -tidy(model_bayes) -``` - -In Bayes land, you get a distribution of plausible values given the data (or what is called the "posterior distribution"), and you can visualize this posterior distribution: - -```{r plot-bayes-results} -# Make a long dataset of the draws for these three coefficients -posterior_draws <- model_bayes %>% - gather_draws(c(b_displ, b_drv, b_drvf, b_drvr)) - -# Plot this thing -ggplot(posterior_draws, aes(x = .value, y = fct_rev(.variable), fill = .variable)) + - geom_vline(xintercept = 0) + - stat_halfeye(.width = c(0.8, 0.95), alpha = 0.8, point_interval = "median_hdi") + - guides(fill = "none") + - labs(x = "Coefficient", y = "Variable", - caption = "80% and 95% credible intervals shown in black") -``` - -Those are all the plausible values for these coefficients, given the data that we've fed the model, and the black bars at the bottom show the 80% and 95% credible intervals (or the range of values that 80/95% of the posterior covers). With this, there's a 95% chance that the coefficient for displacement is between −3.35 and −2.48. Neat! - -## Confidence intervals vs. credible intervals - -[In session 6](/content/06-content/), we talked about frequentist confidence intervals and Bayesian credible (or posterior) intervals, since I had you read [Guido Imbens's essay on *p*-values](https://doi.org/10.1257/jep.35.3.157), where his conclusion is that: - -> It would be preferable if reporting standards emphasized confidence intervals or standard errors, and, even better, Bayesian posterior intervals. - -Imbens wants us to use Bayesian posterior intervals (or credible intervals), but how do we do that? - -### Frequentist confidence intervals - -In frequentist statistics (i.e. all the statistics you've been exposed to in this class and all previous classes), your whole goal is to estimate and infer something about a population using a sample. This "something" is a true (but unknown) thing called a *population parameter*. It is a single fixed value that exists out in the world, and it's the main thing you're interested in discovering. Here are a bunch of different population parameters: - -- Average treatment effect of a program -- Proportion of left-handed students at GSU -- Median rent of apartments in NYC -- Proportion of red M&Ms produced in a factory - -In frequentist statistics, we take a sample from the population, calculate the parameter (i.e. mean, median, proportion, whatever) in the sample, and then check to see how good of a guess it might be for the whole population. To do that, we can look at a confidence interval. Think of a confidence interval as a net—it's a range of possible values for the population parameters, and we can be X% confident (typically 95%) that the net is picking up the population parameter. Another way to think about it is to imagine taking more samples. If you take 100 samples, at least 95 of them would have the true population parameter in their 95% confidence intervals. Frequentist statistics assumes that the unknown population parameter is fixed and singular, but that the data can vary—you can repeat an experiment over and over again, or take repeated samples from a population in order to be more certain about the estimate of the parameter (and shrink the net of the confidence interval). - -**Importantly**, when talking about confidence intervals, you cannot really say anything about the estimate of the parameter itself. Confidence intervals are all about the net, or the range itself. You can legally say this: - -> We are 95% confident that this confidence interval captures the true population parameter. - -You **cannot** say this: - -> There's a 95% chance that the population parameter is X. *or* There's a 95% chance that the true value falls in this range. - -Confidence intervals tell you about the range, or the net. That's all. - -Here's an example with some data from *The Effect* on restaurant inspections in Alaska. We want to know if weekend inspections are more lenient that ones conducted during the work week. - -```{r load-restaurant-data, warning=FALSE, message=FALSE} -library(tidyverse) -library(broom) -library(gghalves) - -inspections <- read_csv("https://vincentarelbundock.github.io/Rdatasets/csv/causaldata/restaurant_inspections.csv") -``` - -First we should look at the data to see if there are any obvious patterns. Let's look at scores separated by weekend status. We'll use [the neat **gghalves** package](https://erocoar.github.io/gghalves/) to plot both the raw points and a density plot. The orange points show the average value: - -```{r inspections-raw-distribution} -ggplot(inspections, aes(x = Weekend, y = inspection_score)) + - geom_half_point(side = "l", alpha = 0.2, size = 0.5, - transformation = position_jitter(height = 0)) + - geom_half_violin(side = "r") + - stat_summary(fun.data = "mean_se", fun.args = list(mult = 1.96), color = "orange") -``` - -It looks like weekend inspections are far more rare than weekday ones, and no weekend inspections every give scores lower than 80. It also looks like the average weekend score is slightly higher than the average weekday score. Let's figure out how much of a difference there is. - -But first, we'll use the language of inference and sampling. Our population parameter (we'll call it the Greek letter theta, or $\theta$) is some single true fixed number that exists out in the world—weekend restaurant inspections in Alaska have a $\theta$ higher average score than weekday inspections. We want to find out what that $\theta$ is, so we'll look at some confidence intervals. - -We can look at a basic difference in means based on weekend status: - -```{r basic-diff-means} -model_naive <- lm(inspection_score ~ Weekend, - data = inspections) -tidy(model_naive, conf.int = TRUE) -``` - -Here, weekend scores are 2.1 points higher than weekday scores, on average (that's our estimate, or $\hat{\theta}$. We have a confidence interval of 1.2–2.9. We *cannot* say that we're 95% confident that the weekend score boost (or $\theta$) is between 1.2 and 2.9. What we *can* say is that we're 95% confident that the range 1.2–2.9 captures the true population parameter $\theta$. If we took a bunch of different samples of inspection scores and calculated the average weekend vs. weekday score in each of those samples, 95% of those confidence intervals should capture the true $\theta$. Importantly, we still have no idea what the actual $\theta$ is, but we're pretty sure that our confidence interval net has captured it. - -This estimate is probably wrong, since there are other factors that confound the weekend → score relationship. Maybe the health department only conducts weekend inspections in places with lots of branches, or maybe they did more weekend inspections in certain years. We can adjust/control for these in the model: - -```{r adjusted-diff-means} -model_adjusted <- lm(inspection_score ~ Weekend + NumberofLocations + Year, - data = inspections) -tidy(model_adjusted, conf.int = TRUE) -``` - -Our weekend estimate shrunk a little and is now 1.43, with a confidence interval of 0.6–2.3. Again, think of this as a net—we're 95% sure that the true $\theta$ is in that net somewhere. $\theta$ could be 0.7, it could be 1.4, it could be 2.2—who knows. All we know is that our net most likely picked it up. - -For fun, let's plot both these weekend estimates and their confidence intervals: - -```{r plot-freq-results} -# Save just the weekend coefficient from both models -freq_results_naive <- tidy(model_naive, conf.int = TRUE) %>% - mutate(model = "Naive model") %>% - filter(term == "WeekendTRUE") - -freq_results_full <- tidy(model_adjusted, conf.int = TRUE) %>% - mutate(model = "Full model") %>% - filter(term == "WeekendTRUE") - -# Put these coefficients in a single dataset and plot them -freq_results <- bind_rows(freq_results_naive, freq_results_full) %>% - # Make sure the model name follows the order it appears in the data instead of - # alphabetical order - mutate(model = fct_inorder(model)) - -ggplot(freq_results, aes(x = estimate, y = model, color = model)) + - geom_pointrange(aes(xmin = conf.low, xmax = conf.high)) + - guides(color = "none") -``` - -### Bayesian credible intervals - -Remember, with frequentist statistics, $\theta$ is fixed and singular and we're hoping to pick it up with our confidence interval nets. The data we collect is variable—we can hypothetically take more and more samples and calculate a bunch of confidence intervals and become more certain about where $\theta$ might be. We can only interpret confidence intervals as ranges: "There's a 95% probability that the range contains the true value $\theta$". We can't say anything about the estimate of $\theta$ itself. We've calculated the probability of the range, not the probability of the actual value. - -Bayesian analysis, however, *does* let us talk about the probability of the actual value. Under Bayesianism, the *data* you're working with is fixed (i.e. you collected it once and it's all you have—you can't go out and collect infinite additional samples), and the population parameter $\theta$ varies and has uncertainty about it (i.e. instead of imagining some single number uncapturable that's the average difference in weekend vs. weekday scores, $\theta$ has some range around it). - -This difference is apparent in the formulas for testing hypotheses under each of these approaches: - -$$\underbrace{P(\text{Data} \mid \theta)}_{\substack{\textbf{Frequentism} \\ \text{Probability of seeing the} \\ \text{data given that } \theta \text{ exists}}} \qquad \underbrace{P(\theta \mid \text{Data})}_{\substack{\textbf{Bayesianism} \\ \text{Probability of } \theta \\ \text{given the current data}}}$$ - -Bayes' theorem has a nice formula ([with neat intuition, like in this video](https://www.youtube.com/watch?v=HZGCoVF3YvM)): - -$$ -\underbrace{P(\theta \mid \text{Data})}_{\text{Posterior}} = \frac{\overbrace{P(\theta)}^{\text{Prior}} \times \overbrace{P(\text{Data} \mid \theta)}^{\text{Likelihood}}}{P(\text{Data})} -$$ - -Put (hopefully!) simply, combine the observed likelihood of the data $P(\text{Data} \mid \theta)$ (that's basically frequentism!) with prior knowledge about the distribution of $\theta$ and you'll get a posterior estimate of $\theta$. - -Actually calculating this with real data, though, can be tricky and computationally intensive—often there's no formal mathematical way to figure out the actual equation. So instead, we can use computers to simulate thousands of guesses and then look at the distribution of those guesses (just like we did with [the Zilch simulation in class](/resource/zilch.qmd#probability-with-computers-only)). One modern method for doing this is called Monte Carlo Markov Chain (MCMC) simulation, which is what most R-based tools for Bayesian stats use nowadays. - -Let's look at restaurant inspection scores on the weekend Bayesianly. Here, we're still interested in our population parameter $\theta$, or the average weekend score boost. Only now, we're not assuming that $\theta$ is some single fixed value out in the world that we're trying to capture with confidence intervals—we'll use the data that we have to estimate the variation in $\theta$. The easiest way to do Bayesian analysis with R is with [the **brms** package](https://paul-buerkner.github.io/brms/), which uses the familiar formula syntax you've been using with `lm()`. The syntax is super similar, just with a few additional arguments: - -**MCMC things** - -Arguments like `chains`, `iter`, and `cores` deal with the simulation. `chains` defines how many parallel simulations should happen, `iter` controls how many iterations should happen with in each chain, and `cores` spreads those chains across the CPUs in your computer (i.e. if you have a 4-core computer, you can run 4 chains all at the same time; run `parallel::detectCores()` in your R console to see how many CPU cores you have). `seed` makes it so that the random simulation results are reproducible ([see here for more on seeds](/example/random-numbers.qmd#seeds)). - -**Priors** - -These define your prior beliefs about the parameters (i.e. $\theta$) in the model. If you think that the restaurant weekend inspection boost is probably positive, but could possibly be negative, or maybe zero, you can feed that belief into the model. For instance, if you're fairly confident (based on experiences in other states maybe) that weekend scores really are higher, you can provide an *informative* prior that says that $\theta$ is most likely 1.5 points ± a little variation, following a normal distribution. Or, if you have no idea what it could be—maybe it's super high like 10, maybe it's negative like −5, or maybe it's 0 and there's no weekend boost—you can provide a *vague* prior that says that $\theta$ is 0 points ± a ton of variation. - -```{r priors, fig.width=8} -library(patchwork) # For combining ggplot plots - -plot_informative <- ggplot() + - stat_function(fun = dnorm, args = list(mean = 1.5, sd = 0.5), - geom = "area", fill = "grey80", color = "black") + - xlim(-1, 4) + - labs(title = "Informative prior", subtitle = "Normal(mean = 1.5, sd = 0.5)", - caption = "We're pretty sure θ is around 1.5") - -plot_vague <- ggplot() + - stat_function(fun = dnorm, args = list(mean = 0, sd = 10), - geom = "area", fill = "grey80", color = "black") + - xlim(-35, 35) + - labs(title = "Vague prior", subtitle = "Normal(mean = 0, sd = 10)", - caption = "Surely θ is in there *somewhere*") - -plot_informative | plot_vague -``` - -For the sake of this example, we'll use a vague prior. - -Here's how to officially do Bayesian analysis with **brms** and incorporate prior information about $\theta$. Again, the syntax is super similar to `lm()`, just with some extra bits about the prior and the MCMC settings: - -```{r load-bayes-stuff, warning=FALSE, message=FALSE} -library(brms) # For Bayesian regression with brm() -library(broom.mixed) # For tidy() and glance() with brms-based models -library(tidybayes) # For extracting posterior draws -library(ggdist) # For making pretty posterior plots -``` - -```{r actual-brms-model, cache=TRUE, results='hide'} -# bf() stands for "bayes formula"; you technically don't need to use it, but it -# makes life easier for more complex models, so it's good practice even when -# using a simple formula like the one here -# -# This will take a little bit of time to run. Here's what it's actually doing: -# -# 1. Translate this R code to Stan (a specific language for doing Bayesian stuff with MCMC) -# 2. Compile the Stan code to faster-running C++ code -# 3. Actually do the MCMC sampling - -# Set the prior for the weekend coefficient -# Use get_priors() to see all the other default priors -priors <- c( - prior(normal(0, 10), class = "b", coef = "WeekendTRUE") -) - -# Run the model! -model_bayes <- brm(bf(inspection_score ~ Weekend + NumberofLocations + Year), - data = inspections, - prior = priors, - chains = 4, iter = 2000, cores = 4, seed = 1234) -``` - -Phew. That took a while to run, but it ran! Now we can check the results: - -```{r warning=FALSE} -tidy(model_bayes, conf.int = TRUE) -``` - -```{r warning=FALSE, include=FALSE} -results <- tidy(model_bayes, conf.int = TRUE) %>% - filter(effect == "fixed") %>% - mutate(across(c(estimate, conf.low, conf.high), - list(nice = ~as.character(round(., 2))))) %>% - split(.$term) -``` - -Our estimate for the weekend boost, or $\hat{\theta}$, is `r results$WeekendTRUE$estimate_nice`, which is basically the same as the frequentist estimate we found before. We have an interval too, but it's not a confidence interval—it's a credible interval. Instead of telling us about the range of the confidence interval net, this credible interval tells us the probability that $\hat{\theta}$ falls in that range. It's essentially the probability of the actual value, not the probability of the range. Based on this, there's a 95% chance that—given the data we have—the weekend score boost ($\hat{\theta}$) is between `r results$WeekendTRUE$conf.low_nice` and `r results$WeekendTRUE$conf.high_nice`. - -We can visualize this posterior distribution to see more information than we could with our frequentist estimate. Remember, our simulation estimated thousands of possible coefficients for `WeekendTRUE`, and each of them are equally likely. The value that we see in `tidy()` is the median of all these simulated coefficients, or draws. We can see a few of them here: - -```{r} -model_bayes %>% - spread_draws(b_WeekendTRUE) %>% - head(10) -``` - -Sometimes the weekend boost is 1.2, sometimes 1.7, sometimes 1.3, etc. There's a lot of variation in there. We can plot all these simulated coefficients to see where they mostly cluster: - -```{r weekend-posterior-halfeye} -weekend_draws <- model_bayes %>% - spread_draws(b_WeekendTRUE) - -ggplot(weekend_draws, aes(x = b_WeekendTRUE)) + - stat_halfeye() + - labs(caption = "Point shows median value;\nthick black bar shows 66% credible interval;\nthin black bar shows 95% credible interval") -``` - -The weekend point boost $\hat{\theta}$ is mostly clustered around 1–2, and 95% of those draws are between `r results$WeekendTRUE$conf.low_nice` and `r results$WeekendTRUE$conf.high_nice`. We're thus 95% sure that the actual weekend point boost is between `r results$WeekendTRUE$conf.low_nice` and `r results$WeekendTRUE$conf.high_nice` with a median of `r results$WeekendTRUE$estimate_nice`. - -We can also look at this distribution a slightly different way by collapsing all those posterior draws into 100 possible values. Each of these dots is equally likely, and the true value of $\theta$ could be any of them, but again, most are clustered around `r results$WeekendTRUE$estimate_nice`: - -```{r weekend-posterior-dots} -ggplot(weekend_draws, aes(x = b_WeekendTRUE)) + - stat_dotsinterval(quantiles = 100) + - labs(caption = "Point shows median value;\nthick black bar shows 66% credible interval;\nthin black bar shows 95% credible interval") -``` - -## General summary of intervals - -So, we've seen two different philosophies for quantifying uncertainty with confidence intervals and credible intervals. Here's a general overview of the two approaches and how you can interpret them: - -```{r summary-table, echo=FALSE, warning=FALSE, message=FALSE} -library(kableExtra) - -tribble( - ~` `, ~Frequentism, ~Bayesianism, - "Approach", "\\(P(\\text{Data} \\mid \\theta)\\)", "\\(P(\\theta \\mid \\text{Data})\\)", - "", "\\(\\theta\\) is a fixed single value; data is variable and can be repeatedly sampled", "\\(\\theta\\) is variable and has uncertainty; data is fixed (you only have one sample)", - "How to do it in R", "lm(...)", "library(brms)
    brm(...)", - "Name", "Confidence interval", "Credible interval (or posterior interval)", - "Intuition", "Probability of the range", "Probability of the actual value", - "Interpretation template", "There's a 95% probability that this range contains the true value of \\(\\theta\\)", "There's a 95% probability that the true value of \\(\\theta\\) falls in this range.", - "", "Few people naturally think like this", "People do naturally think like this" -) %>% - kbl(escape = FALSE) %>% - kable_styling(full_width = FALSE, position = "center") -``` - -## Two ways of making decisions with posterior distributions - -In the world of frequentism, we're interested in whether coefficients are statistically different from 0 in a null world where there's no effect. We rely on *p*-values to see the probability of seeing an estimate at least as large as what we've calculated in a hypothetical world where that estimate is actually 0. This is a really non-intuitive way of thinking about the world (imaginary null worlds?!), so everyone always misinterprets *p*-values. - -Remember what you read in [Imbens's article](https://doi.org/10.1257/jep.35.3.157) though—in real life, very few people care about whether a coefficient is significantly different from a hypothetical null. Instead, people want to know how certain you are of the estimate and what it means practically. Is it for sure a positive effect, or could it maybe be zero or maybe be negative? Significance stars can't tell us much about those questions, but posterior Bayesian intervals can. - -### Probability of direction - -One question we can answer with Bayesian results is "How certain are we that this estimate is positive (or negative)?" Are we sure the weekend scores are higher on average, or could they sometimes be negative? Are we sure that the average treatment effect of your program decreases poverty, or could it maybe have a positive effect instead? - -To figure this out, we can calculate something called the ["probability of direction,"](https://easystats.github.io/bayestestR/articles/probability_of_direction.html) or the proportion of posterior draws that are above (or below) some arbitrary number. For instance, what's the probability that the weekend boost is positive (or greater than 0)? - -```{r} -# Find the proportion of posterior draws that are bigger than 0 -weekend_draws %>% - summarize(prop_greater_0 = sum(b_WeekendTRUE > 0) / n()) -``` - -Whoa. 99.9% of the posterior draws for the weekend boost are greater than 0, meaning that there's a 99.9% chance that the coefficient is positive, given the data we have. - -The neat thing about the probability of direction is that we can choose whatever value we want as the threshold. Let's say the state health director wants to know if weekend scores are higher than weekday scores, but she's fine with just a little boost (weekends are nice! inspectors are happier!). Pretend that she thinks an average difference of 1 or lower isn't a big concern, but seeing a difference greater than 1 is a signal that weekend inspectors are maybe being too lenient. We can use 1 as our threshold instead: - -```{r} -# Find the proportion of posterior draws that are bigger than 1 -weekend_draws %>% - summarize(prop_greater_0 = sum(b_WeekendTRUE > 1) / n()) -``` - -Based on this, 84% of the draws are higher than 1, so there's an 84% chance that the actual $\theta$ is greater than 1. Notice how there's no discussion of significance here—no alpha thresholds, no stars, no null worlds. We just have a probability that $\hat{\theta}$ is above 1. We can even visualize it. Everything to the right of that vertical line at 1 is "significant" (but not significant with null worlds and stars). - -```{r plot-pd} -ggplot(weekend_draws, aes(x = b_WeekendTRUE)) + - stat_halfeye(aes(fill_ramp = stat(x > 1)), fill = "red") + - scale_fill_ramp_discrete(from = "darkred", guide = "none") + - geom_vline(xintercept = 1) + - labs(caption = "Point shows median value;\nthick black bar shows 66% credible interval;\nthin black bar shows 95% credible interval") -``` - -Should the state health director be concerned? Probably. There's an 84% chance that weekend inspection scores are at least 1 point higher than weekday scores, on average, given the data we have. - -### Region of practical equivalence (ROPE) - -Looking at the probability of direction is helpful if you are concerned whether an effect is positive or negative (i.e. greater or less than 0), but it's also a little weird to think about because we're testing if something is greater or less than some specific single number. In our example of the health director, we pretended that she cared whether the average weekend score was 1 point higher, but that's arbitrary. - -Another approach is that we can think of a range of $\theta$ where there's practically no effect. Think of this as a "dead zone" of sorts. If $\hat{\theta}$ is 0, we know there's no effect. If $\hat{\theta}$ is something tiny like 0.2 or -0.3, we probably don't actually care—that's a tiny amount and could just be because of measurement error. It's not anything really actionable. If $\hat{\theta}$ is big like 1.3 or -2.4 or whatever, then we have cause to worry, but if the estimate is in the "dead zone" (however we want to define it), then we shouldn't really care or worry. - -The official Bayesian term for this "dead zone" is [the *region of practical equivalence* (ROPE)](https://easystats.github.io/bayestestR/articles/region_of_practical_equivalence.html). There are lots of ways to determine this dead zone—you can base it on experience with the phenomenon (e.g., if you're the health director and know a lot about inspection scores, you know what kind of score ranges matter), or you can base it on the data you have (e.g., `-0.1 * sd(outcome)` to `0.1 * sd(outcome)`). - -For this example, let's pretend that the health director tells you that any effect between −0.5 and 0.5 doesn't matter—for her, those kind of values would be the same as 0. Now that we have a dead zone or ROPE, we can calculate the proportion of coefficient draws that fall outside of that ROPE: - -```{r} -# Find the proportion of posterior draws that are bigger than 0.5 or less than -0.5 -weekend_draws %>% - summarize(prop_outside_rope = 1 - sum(b_WeekendTRUE >= -0.5 & b_WeekendTRUE <= 0.5) / n()) -``` - -```{r plot-rope} -ggplot(weekend_draws, aes(x = b_WeekendTRUE)) + - stat_halfeye(aes(fill_ramp = stat(x >= 0.5 | x <= -0.5)), fill = "red") + - scale_fill_ramp_discrete(from = "darkred", guide = "none") + - annotate(geom = "rect", xmin = -0.5, xmax = 0.5, ymin = -Inf, ymax = Inf, fill = "purple", alpha = 0.3) + - annotate(geom = "label", x = 0, y = 0.75, label = "ROPE\n(dead zone)") + - labs(caption = "Point shows median value;\nthick black bar shows 66% credible interval;\nthin black bar shows 95% credible interval") -``` - -Given this data, 98% of the posterior distribution of the weekend boost is outside of the ROPE, or dead zone, so we can consider this to be "significant" (again, this is a tricky word because it has nothing to do with null worlds and stars!). - -There are some debates over what you should check with the ROPE. Some people say that you should look at how much of the 95% credible interval is inside the dead zone; other say you should look at how much of the entire distribution is inside the dead zone. We just did the latter, with the whole distribution. If we want to see how much of the area within the credible interval is inside the dead zone, we can change the code a little to filter those observations out: - -```{r} -# Extract the 95% confidence interval range -weekend_cred_int <- weekend_draws %>% - median_hdi() -weekend_cred_int$.lower - -# Find the proportion of posterior draws that are bigger than 0.5 or less than -# -0.5, but only look inside the 95% credible interval -weekend_draws %>% - # Only look inside the credible interval - filter(b_WeekendTRUE >= weekend_cred_int$.lower & b_WeekendTRUE <= weekend_cred_int$.upper) %>% - summarize(prop_outside_rope = 1 - sum(b_WeekendTRUE >= -0.5 & b_WeekendTRUE <= 0.5) / n()) -``` - -If we look only at the 95% credible interval of the posterior, there's a 0% chance that any of those estimated coefficients are in the dead zone / ROPE. There's a 100% chance that the credible interval doesn't touch the ROPE. You can see this visually too—look at the figure above with the purple ROPE. The thin black bar that shows the 95% credible interval doesn't show up in the purple area. - -Which approach is better—using full distribution or just using the credible interval? Who knows. That's up to you. - -Finally, here we decided on the ROPE kind of arbitrarily as −0.5 to 0.5, but there are more systematic ways of doing it. [One common and standard suggestion](https://easystats.github.io/bayestestR/articles/region_of_practical_equivalence.html#how-to-define-the-rope-range-) is to use −0.1 and 0.1 times the standard deviation of the outcome variable: - -```{r} -c(-0.1, 0.1) * sd(inspections$inspection_score) -``` - -Based on this approach, our ROPE/dead zone should be −0.63 to 0.63. Let's see how that looks: - -```{r} -# Find the proportion of posterior draws that are bigger than 0.5 or less than -# -0.5, but only look inside the 95% credible interval -weekend_draws %>% - # Only look inside the credible interval - filter(b_WeekendTRUE >= weekend_cred_int$.lower & b_WeekendTRUE <= weekend_cred_int$.upper) %>% - summarize(prop_outside_rope = 1 - sum(b_WeekendTRUE >= -0.63 & b_WeekendTRUE <= 0.63) / n()) -``` - -```{r plot-rope-sd} -ggplot(weekend_draws, aes(x = b_WeekendTRUE)) + - stat_halfeye(aes(fill_ramp = stat(x >= 0.63 | x <= -0.63)), fill = "red") + - scale_fill_ramp_discrete(from = "darkred", guide = "none") + - annotate(geom = "rect", xmin = -0.63, xmax = 0.63, ymin = -Inf, ymax = Inf, fill = "purple", alpha = 0.3) + - annotate(geom = "label", x = 0, y = 0.75, label = "ROPE\n(dead zone)") + - labs(caption = "Point shows median value;\nthick black bar shows 66% credible interval;\nthin black bar shows 95% credible interval") -``` - -This changes our results just a tiny bit. 97% of the full posterior distribution and 99.7% of the credible interval falls outside this ROPE. Neat. We can thus safely say that the weekend effect, or our estimate of $\theta$ is definitely practical and substantial (or "significant" if we want to play with that language). diff --git a/resource/citations.qmd b/resource/citations.qmd deleted file mode 100644 index bd61877f..00000000 --- a/resource/citations.qmd +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: Citations and bibliography ---- - -You can [download a BibTeX file](/files/bib/references.bib) of all the non-web-based readings in the course: - -- [{{< fa book >}} `references.bib`](/files/bib/references.bib) - -You can open the file in [BibDesk on macOS](http://bibdesk.sourceforge.net/), [JabRef on Windows](http://www.jabref.org/), or [Zotero](https://www.zotero.org/) or [Mendeley](https://www.mendeley.com/) online. diff --git a/resource/data.qmd b/resource/data.qmd deleted file mode 100644 index 1e1fc93e..00000000 --- a/resource/data.qmd +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Data ---- - -There are a ton of places to find data related to public policy and administration (as well as data on pretty much any topic you want) online: - -- [**Data is Plural newsletter**](https://tinyletter.com/data-is-plural): Jeremy Singer-Vine sends a weekly newsletter of the most interesting public datasets he's found. You should subscribe to it. [He also has an archive of all the datasets he's highlighted.](https://docs.google.com/spreadsheets/d/1wZhPLMCHKJvwOkP4juclhjFgqIY8fQFMemwKL2c64vk/edit#gid=0) - -- [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Google indexes thousands of public datasets; search for them here. - -- [**Kaggle**](https://www.kaggle.com/datasets): Kaggle hosts machine learning competitions where people compete to create the fastest, most efficient, most predictive algorithms. A byproduct of these competitions is a host of fascinating datasets that are generally free and open to the public. See, for example, [the European Soccer Database](https://www.kaggle.com/hugomathien/soccer), the [Salem Witchcraft Dataset](https://www.kaggle.com/rtatman/salem-witchcraft-dataset) or results from an [Oreo flavors taste test](https://www.kaggle.com/rtatman/oreo-flavors-tastetest-ratings). - -- [**360Giving**](http://www.threesixtygiving.org/data/data-registry/): Dozens of British foundations follow a standard file format for sharing grant data and have made that data available online. - -- [**US City Open Data Census**](http://us-cities.survey.okfn.org/): More than 100 US cities have committed to sharing dozens of types of data, including data about crime, budgets, campaign finance, lobbying, transit, and zoning. This site from the [Sunlight Foundation](http://sunlightfoundation.com/) and [Code for America](http://www.codeforamerica.org//) collects this data and rates cities by how well they're doing. - -- **Political science and economics datasets**: There's a wealth of data available for political science- and economics-related topics: - - [**François Briatte's extensive curated lists**](https://github.com/briatte/srqm/wiki/Data): Includes data from/about intergovernmental organizations (IGOs), nongovernmental organizations (NGOs), public opinion surveys, parliaments and legislatures, wars, human rights, elections, and municipalities. - - [**Thomas Leeper's list of political science datasets**](https://github.com/leeper/poliscitoys/issues/1): Good short list of useful datasets, divided by type of data (country-level data, survey data, social media data, event data, text data, etc.). - - [**Erik Gahner's list of political science datasets**](https://github.com/erikgahner/PolData): Huge list of useful datasets, divided by topic (governance, elections, policy, political elites, etc.) diff --git a/resource/exam1.qmd b/resource/exam1.qmd deleted file mode 100644 index 2d1e5876..00000000 --- a/resource/exam1.qmd +++ /dev/null @@ -1,112 +0,0 @@ ---- -title: "Things you should know for Exam 1" ---- - -## Evidence, causation, and evaluation - -**You should understand…** - -- …the difference between experimental research and observational research -- …the sometimes conflicting roles of science and intuition in public administration and policy -- …the difference between the various types of evaluations and how they target specific parts of a logic model -- …the difference between identifying correlation (math) and identifying causation (philosophy and theory) -- …what it means for a relationship to be causal - -## Regression and inference - -**You should understand…** - -- …the difference between correlation coefficients and regression coefficients -- …the difference between outcome/response/dependent and explanatory/predictor/independent variables -- …the two purposes of regression -- …what each of the components in a regression equation stand for, in both "flavors" of notation: - - $y = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \epsilon$ for the statistical flavor - - $y = \alpha + \beta x_1 + \gamma x_2 + \epsilon$ for the econometrics flavor -- …how sliders and switches work as metaphors for regression coefficients -- …what it means to hold variables constant (or to control for variables) -- …the different elements of the grammar of graphics and be able to identify how variables are encoded in a graph (i.e. how columns in a dataset can be represented through x/y coordinates, through color, through size, through fill, etc.) - -**You should be able to…** - -- …write and interpret R code that calculates summary statistics for groups (i.e. `group_by() %>% summarize()`) -- …write and interpret R code that builds linear models (i.e. `lm()`) -- …interpret regression coefficients -- …interpret other regression diagnostics like $R^2$ -- …use the `%>%` pipe in R to chain functions together -- …use `ggplot()` to visualize data - -**Helpful resources:** - -- {{< fa book >}} Garrett Grolemund and Hadley Wickham, [*R for Data Science*](https://r4ds.had.co.nz/) -- {{< fa book >}} Kieran Healy, ["How ggplot works,"](http://socviz.co/makeplot.html#how-ggplot-works) chapter 3 in *Data Visualization: A Practical Introduction* - -## Theories of change and measurement - -**You should understand…** - -- …how to describe a program's theory of change -- …the difference between inputs, activities, outputs, and outcomes -- …the elements of a program's impact theory: causes (activities) linked to effects (outcomes) -- …the elements of a program's logic model: the explicit links between all its inputs, activities, outputs, and outcomes -- …the difference between implicit and articulated program theories -- …the purpose of smaller-scale mechanism testing -- …how indicators can be measured at different levels of abstraction -- …what makes an indicator a good indicator - -**You should be able to…** - -- …identify a program's underlying theory based on its mission statement -- …draw a program impact theory chart that links activities to outcomes -- …draw a program logic model that links inputs to activities to outputs to outcomes -- …identify the most central elements of a potential outcome measurement - -## Counterfactuals and DAGs - -**You should understand…** - -- …how a causal model encodes our understanding of a causal process -- …how to identify front door and back door paths between treatment/exposure and outcome -- …why we avoid closing front door paths -- …why we close back door paths -- …why adjusting for colliders can distort causal effects -- …the difference between logic models and DAGs -- …the difference between individual level causal effects, average treatment effects (ATE), conditional average treatment effect (CATE), average treatment on the treated effects (ATT), and average treatment on the untreated (ATU) -- …what the fundamental problem of causal inference is and how we can attempt to address it - -**You should be able to…** - -- …draw a possible DAG for a given causal relationship -- …identify all pathways between treatment/exposure and outcome -- …identify which nodes in the DAG need to be adjusted for (or closed) -- …identify colliders (which should not be adjusted for) - -**Helpful resources:** - -- {{< fa arrow-up-right-from-square >}} Malcom Barrett, ["An Introduction to Directed Acyclic Graphs"](https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-dags.html) -- {{< fa arrow-up-right-from-square >}} Malcom Barrett, ["An Introduction to ggdag"](https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-ggdag.html) -- {{< fa arrow-up-right-from-square >}} Judea Pearl, ["A Crash Course in Good and Bad Control"](http://causality.cs.ucla.edu/blog/index.php/2019/08/14/a-crash-course-in-good-and-bad-control/): A quick summary of back doors, front doors, confounders, colliders, and when to control/not control for DAG nodes -- {{< fa brands youtube >}} Causal Inference Bootcamp, ["Average Treatment Effects,"](https://modu.ssri.duke.edu/module/introduction-causal-inference/average-treatment-effect) Duke University -- {{< fa brands youtube >}} Causal Inference Bootcamp, ["Unit Level Effects,"](https://modu.ssri.duke.edu/module/introduction-causal-inference/unit-level-effect) Duke University -- {{< fa brands youtube >}} Causal Inference Bootcamp, ["Conditional Average Treatment Effects,"](https://modu.ssri.duke.edu/module/introduction-causal-inference/conditional-average-treatment-effect) Duke University -- {{< fa brands youtube >}} Causal Inference Bootcamp, ["Counterfactuals,"](https://modu.ssri.duke.edu/module/introduction-causal-inference/counterfactuals) Duke University -- {{< fa arrow-up-right-from-square >}} Neel Ocean, ["Understanding Selection Bias"](http://www.neelocean.com/understanding-selection-bias/): explanation of how to identify selection bias from the ATT and the ATE, with an explanation of how ATE = ATT + selection bias under the potential outcomes framework -- {{< fa arrow-up-right-from-square >}} Paul Hünermund, ["Sample Selection vs. Selection Into Treatment"](https://p-hunermund.com/2018/10/15/sample-selection-vs-selection-into-treatment/amp/?__twitter_impression=true) - -## Threats to validity - -**You should understand…** - -- …what it means when a study has internal validity and know how to identify the major threats to internal validity, including: omitted variable bias (selection and attrition), trend issues (maturation, secular trends, seasonality, testing, regression to the mean), study calibration issues (measurement error, time frame of study), and contamination issues (Hawthorne effects, John Henry effects, spillovers, and intervening events) -- …why selection bias is the most pernicious and difficult threat to internal validity and how we can account for it -- …what it means when a study has external validity -- …what it means when the measures used in a study have construct validity -- …what it means when the analysis used in a study has statistical conclusion validity - -**You should be able to…** - -- …identify existing and potential threats to validity in a study -- …suggest ways of addressing these threats - -**Helpful resources:** - -- Really, just google ["threats to internal validity"](https://www.google.com/search?q=threats+to+internal+validity) or ["threats to external validity"](https://www.google.com/search?q=threats+to+external+validity) and you'll find a billion different slide decks, articles, and lessons about these. They're a pretty standard part of any research design class. diff --git a/resource/exam2.qmd b/resource/exam2.qmd deleted file mode 100644 index bb383810..00000000 --- a/resource/exam2.qmd +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: "Things you should know for Exam 2" ---- - -## Randomization - -- Understand why randomization is crucial for causal inference and counterfactuals -- Understand the process for analyzing a randomized controlled trial - -**Crucial resources**: - -- [Readings, slides, and videos for randomization and matching](/content/07-content.qmd) -- [Guide for RCTs](/example/rcts.qmd) -- Problem set 3 -- Task 1 in problem set 8 - - -## Matching and inverse probability weighting - -- Understand the intuition behind matching and inverse probability weighting -- Understand the process for adjusting for confounders and closing backdoors with both matching and inverse probability weighting - -**Crucial resources**: - -- [Readings, slides, and videos for randomization and matching](/content/07-content.qmd) -- [Guide for matching and inverse probability weighting](/example/matching-ipw.qmd) -- Problem set 3 -- Task 2 in problem set 8 - - -## Difference-in-difference - -- Understand the intuition behind making causal inferences with difference-in-differences -- Understand the process for analyzing diff-in-diffs - -**Crucial resources**: - -- [Readings, slides, and videos for diff-in-diff](/content/08-content.qmd) -- [Guide for diff-in-diff](/example/diff-in-diff.qmd) -- Problem set 4 -- Problem set 5 -- Task 3 in problem set 8 - - -## Regression discontinuity - -- Understand the intuition behind making causal inferences with regression discontinuity -- Understand the process for analyzing regression discontinuities, both ***fuzzy*** and ***sharp*** -- Understand the difference between ATE and LATE - -**Crucial resources**: - -- [Readings, slides, and videos for regression discontinuity I (sharp)](/content/10-content.qmd) -- [Readings, slides, and videos for regression discontinuity II (fuzzy)](/content/12-content.qmd) -- [Guide for sharp diff-in-diff](/example/rdd.qmd) -- [Guide for fuzzy diff-in-diff](/example/rdd-fuzzy.qmd) -- Problem set 6 -- Task 4 in problem set 8 - - -## Instrumental variables - -- Understand the intuition behind using instruments for causal inference -- Understand the three characteristics of a good instrument -- Understand the process for analyzing data with instrumental variables and 2SLS -- Understand the difference between ATE and LATE - -**Crucial resources**: - -- [Readings, slides, and videos for instrumental variables I](/content/11-content.qmd) -- [Readings, slides, and videos for instrumental variables II](/content/12-content.qmd) -- [Guide for instrumental variables](/example/iv.qmd) -- Problem set 7 -- Task 5 in problem set 8 diff --git a/resource/index.qmd b/resource/index.qmd index cafa83ef..684fd877 100644 --- a/resource/index.qmd +++ b/resource/index.qmd @@ -1,5 +1,92 @@ --- -title: "Resources" +title: "Recursos" +lang: es +execute: + freeze: auto --- -I have included a bunch of extra resources and guides related to causal inference, program evaluation, R, data, and other relevant topics. Enjoy! +En esta sección se irán subiendo una serie de recursos relacionados con el curso. + + + +## Glosario de conceptos + +| Concepto | Definición | +|:------------:|:------------:| +| Estadística | Conjunto de métodos y herramientas que involucra la recopilación, análisis, interpretación y presentación de datos numéricos con el objetivo de describir patrones, relaciones y tendencias en fenómenos naturales o sociales. | +| [Reproducibilidad](https://lisa-coes.com/03componentes/) | La capacidad de regenerar un experimento, análisis o estudio utilizando los mismos datos y métodos para llegar a los mismos resultados originales, verificando y asegurando la validez de los hallazgos. | +| [Ciencia Social Abierta](https://lisa-coes.com/) | Un enfoque en la investigación social que promueve la transparencia, el acceso abierto a datos, métodos y resultados, y la colaboración entre investigadores para mejorar la calidad y confiabilidad de la investigación. | +| [Protocolo IPO (Input-Process-Output)](https://lisa-coes.com/ipo-repro/) | Sistema digital de carpetas interconectadas: entrada, proceso y salida. Se utiliza para organizar, procesar y documentar los datos y código de un proyecto de investigación para que cualquier persona pueda ejecutarlo y compartirlo. | +| R project | Carpeta raíz organizada donde trabajas en un proyecto concreto en el lenguaje de programación R, permitiéndote gestionar archivos, paquetes y configuraciones de manera específica para ese proyecto. | +| Texto plano | Tipo de texto sin formato especial que se puede leer independiente del lector que se utilice. | +| [Markdown](https://daringfireball.net/projects/markdown/) | Clase especial de lenguaje que permite darle formato a texto simple con pocas marcas. Se utiliza comúnmente para escribir documentos simples con formato, como páginas web, documentación y presentaciones. | +| [Documentos dinámicos](https://lisa-coes.github.io/lisa-book/herramientas-para-los-an%C3%A1lisis-reproducibles.html#texto-plano-y-documentos-din%C3%A1micos) | Archivos que combinan texto plano y código de análisis (gráficos, tablas y resultados), de manera simultánea en un solo documento, permitiendo la generación automática y reproducible de resultados actualizados a medida que cambian los datos o parámetros. | +| [RMarkdown](https://bookdown.org/yihui/rmarkdown/) | Una extensión de Markdown en el entorno R que permite la integración simultánea de texto plano y código R y su ejecución en el documento, lo que facilita la creación de documentos dinámicos con análisis estadísticos y visualizaciones. | +| Librerías | Conjuntos de funciones y herramientas predefinidas que se pueden utilizar en lenguajes de programación, como R, para realizar tareas específicas sin tener que escribir todo el código desde cero. | +| Knitear | Proceso de compilación secuencial de código y resultados de ejecución en un documento RMarkdown, generando un documento final con texto formateado, código y gráficos integrados. | +| Renderizar | En el contexto de RMarkdown se refiere al proceso de convertir el código y contenido en un documento legible y presentable. En otras palabras, cuando renderizas un documento RMarkdown, estás transformando el código, texto y elementos visuales en un formato final, como un informe, una presentación o un documento HTML, que pueda ser compartido o presentado a otros de manera comprensible. | +| YAML | Acrónimo de "YAML Ain't Markup Language", es un formato de serialización de datos legible por humanos que se utiliza para configurar y definir la estructura de datos en muchos programas y aplicaciones. En RMarkdown corresponden al encabezado de instrucciones generales del documento. | +| [Chunk](https://bookdown.org/yihui/rmarkdown/r-code.html) | Un bloque de código, que puede ser en R, en un documento RMarkdown, rodeado por marcas especiales que indican al sistema cómo manejar y ejecutar ese fragmento de código, y luego mostrar sus resultados en el documento final. | + + +## Reporte + +- [Tablas con R, con ejemplo de canciones de Spotify](https://felixanalytix.medium.com/how-to-make-beautiful-tables-using-r-programming-35d75cc919fb) + +- [Introduction to Quarto](https://www.youtube.com/watch?v=_f3latmOhew) + +## Estadística descriptiva + +- [Curso Estadística Descriptiva Sociología UChile, 1er Sem 2023](https://descriptiva-facso.netlify.app/) + +## Uso de R + +- [Conocimientos básicos de programación en R](https://descriptiva-facso.netlify.app/content/02-content) + +- [Importar datos en R](https://descriptiva-facso.netlify.app/resource/03-resource) + +- [Procesamiento y análisis de datos en R (tidyverse)](https://descriptiva-facso.netlify.app/content/05-content) + +- [Procesamiento y análisis de datos en R (base)](https://descriptiva-facso.netlify.app/resource/04-resource) + +- [Más para aprender R](https://descriptiva-facso.netlify.app/resource/02-resource) + +## Inferencia + +- [Por qué se divide la varianza por N-1?](https://es.khanacademy.org/math/ap-statistics/summarizing-quantitative-data-ap/more-standard-deviation/v/another-simulation-giving-evidence-that-n-1-gives-us-an-unbiased-estimate-of-variance) + +- [Statistical Inference via Data Science A ModernDive into R and the Tidyverse](https://moderndive.com/index.html) + +- [Introduction to modern statistics (Mine Çetinkaya-Rundel and Johanna Hardin)](openintro-ims.netlify.app/) + +- [Inferencia univariada](https://descriptiva-facso.netlify.app/content/08-content) + +## Visualización + +- [Visualización descriptiva de datos en R](https://descriptiva-facso.netlify.app/content/06-content) + +- [R Graph Gallery](https://r-graph-gallery.com/) + +## Bases de datos + +- [Bases de datos para trabajos o investigación](https://descriptiva-facso.netlify.app/resource/01-resource) + + diff --git a/resource/install.qmd b/resource/install.qmd index 6c07f9b4..d76996e7 100644 --- a/resource/install.qmd +++ b/resource/install.qmd @@ -1,109 +1,7 @@ --- -title: "Installing R, RStudio, tidyverse, and tinytex" +title: "Instalar R, RStudio y tidyverse" --- ```{r setup, include=FALSE} library(knitr) ``` - -You will do all of your work in this class with the open source (and free!) programming language [R](https://cran.r-project.org/). You will use [RStudio](https://www.rstudio.com/) as the main program to access R. Think of R as an engine and RStudio as a car dashboard—R handles all the calculations and the actual statistics, while RStudio provides a nice interface for running R code. - - -## RStudio.cloud - -R is free, but it can sometimes be a pain to install and configure. To make life easier, you can (and should!) use the free [RStudio.cloud](http://rstudio.cloud/) service *initially*, which lets you run a full instance of RStudio in your web browser. This means you won't have to install anything on your computer to get started with R! We will have a shared class workspace in RStudio.cloud that will let you quickly copy templates for labs and problem sets. - -Go to and create an account. You'll receive a link to join the shared class workspace separately. If you don't get this link, let me know and I will invite you. - - -## RStudio on your computer - -RStudio.cloud is convenient, but it can be slow and it is not designed to be able to handle larger datasets, more complicated analysis, or fancier graphics. Over the course of the semester, you should wean yourself off of RStudio.cloud and install all these things locally. This is also important if you want to customize fonts, since RStudio.cloud has extremely limited support for fonts other than Helvetica. - -Here's how you install all these things - -### Install R - -First you need to install R itself (the engine). - -1. Go to the CRAN (Collective R Archive Network)[^cran] website: - -2. Click on "Download R for `XXX`", where `XXX` is either Mac or Windows: - - ```{r, echo=FALSE, out.width="60%", fig.align="center"} - include_graphics("/files/img/install/install-r-links.png", error = FALSE) - ``` - - - If you use macOS, scroll down to the first `.pkg` file in the list of files (in this picture, it's `R-4.0.0.pkg`; as of right now, the current version is **4.2.1**) and download it. - - ```{r, echo=FALSE, out.width="80%", fig.align="center"} - include_graphics("/files/img/install/install-r-mac.png", error = FALSE) - ``` - - - If you use Windows, click "base" (or click on the bolded "install R for the first time" link) and download it. - - ```{r, echo=FALSE, out.width="100%", fig.align="center"} - include_graphics("/files/img/install/install-r-windows.png", error = FALSE) - ``` - -3. Double click on the downloaded file (check your `Downloads` folder). Click yes through all the prompts to install like any other program. - -4. If you use macOS, [download and install XQuartz](https://www.xquartz.org/). You do not need to do this on Windows. - -[^cran]: It's a goofy name, but CRAN is where most R packages—and R itself—lives. - - -### Install RStudio - -Next, you need to install RStudio, the nicer graphical user interface (GUI) for R (the dashboard). Once R and RStudio are both installed, you can ignore R and only use RStudio. RStudio will use R automatically and you won't ever have to interact with it directly. - -1. Go to the free download location on RStudio's website: - -2. The website should automatically detect your operating system (macOS or Windows) and show a big download button for it: - - ```{r, echo=FALSE, out.width="50%", fig.align="center"} - include_graphics("/files/img/install/install-r-rstudio1.png", error = FALSE) - ``` - - If not, scroll down a little to the large table and choose the version of RStudio that matches your operating system. - - ```{r, echo=FALSE, out.width="100%", fig.align="center"} - include_graphics("/files/img/install/install-r-rstudio2.png", error = FALSE) - ``` - -3. Double click on the downloaded file (again, check your `Downloads` folder). Click yes through all the prompts to install like any other program. - -Double click on RStudio to run it (check your applications folder or start menu). - - -### Install `tidyverse` - -R packages are easy to install with RStudio. Select the packages panel, click on "Install," type the name of the package you want to install, and press enter. - -```{r, echo=FALSE, out.width="40%", fig.align="center"} -include_graphics("/files/img/install/install-r-package-panel.png", error = FALSE) -``` - -- This can sometimes be tedious when you're installing lots of packages, though. [The tidyverse](https://www.tidyverse.org/), for instance, consists of dozens of packages (including **ggplot2**) that all work together. Rather than install each individually, you can install a single magical package and get them all at the same time. - -- Go to the packages panel in RStudio, click on "Install," type "tidyverse", and press enter. You'll see a bunch of output in the RStudio console as all the tidyverse packages are installed. - - ```{r, echo=FALSE, out.width="60%", fig.align="center"} - include_graphics("/files/img/install/install-r-tidyverse.png", error = FALSE) - ``` - -Notice also that RStudio will generate a line of code for you and run it: `install.packages("tidyverse")`. You can also just paste and run this instead of using the packages panel. - - -### Install `tinytex` - -When you knit to PDF, R uses a special scientific typesetting program named LaTeX (pronounced "lay-tek" or "lah-tex"; for goofy nerdy reasons, the x is technically the "ch" sound in "Bach", but most people just say it as "k"—saying "layteks" is frowned on for whatever reason). - -LaTeX is neat and makes pretty documents, but it's a huge program—[the macOS version, for instance, is nearly 4 GB](https://tug.org/mactex/mactex-download.html)! To make life easier, there's [an R package named **tinytex**](https://yihui.org/tinytex/) that installs a minimal LaTeX program and that automatically deals with differences between macOS and Windows. - -Here's how to install **tinytex** so you can knit to pretty PDFs: - -1. Use the Packages in panel in RStudio to install **tinytex** like you did above with **tidyverse**. Alternatively, run `install.packages("tinytex")` in the console. -2. Run `tinytex::install_tinytex()` in the console. -3. Wait for a bit while R downloads and installs everything you need. -4. The end! You should now be able to knit to PDF. diff --git a/resource/macros.js b/resource/macros.js new file mode 100644 index 00000000..071125df --- /dev/null +++ b/resource/macros.js @@ -0,0 +1,4 @@ +remark.macros.scale = function (percentage) { + var url = this; + return ''; +}; diff --git a/resource/markdown.qmd b/resource/markdown.qmd deleted file mode 100644 index 7e4c08a1..00000000 --- a/resource/markdown.qmd +++ /dev/null @@ -1,466 +0,0 @@ ---- -title: "Using Markdown" ---- - -[Markdown](https://daringfireball.net/projects/markdown/) is a special kind of markup language that lets you format text with simple syntax. You can then use a converter program like [pandoc](https://pandoc.org/) to convert Markdown into whatever format you want: HTML, PDF, Word, PowerPoint, etc. ([see the full list of output types here](https://pandoc.org/MANUAL.html#option--to)) - - - -```{r eval=FALSE, include=FALSE} -# This uses stackedit.js to embed a StackEdit iframe -# See https://benweet.github.io/stackedit.js/ -``` - -```{css echo=FALSE} -.invisible-text { - display: none; -} - -.btn-editor { - font-size: 1.25rem; - font-weight: bold; -} - -.stackedit-button-wrapper { - text-align: center; -} -``` - - - - - -## Basic Markdown formatting - - ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Type……or……to get
    Some text in a paragraph.
    
-More text in the next paragraph. Always
-use empty lines between paragraphs.

    Some text in a paragraph.

    -

    More text in the next paragraph. Always -use empty lines between paragraphs.

    *Italic*_Italic_Italic
    **Bold**__Bold__Bold
    # Heading 1

    -Heading 1 -

    ## Heading 2

    -Heading 2 -

    ### Heading 3

    -Heading 3 -

    (Go up to heading level 6 with ######)
    [Link text](http://www.example.com)Link text
    ![Image caption](/path/to/image.png)Class logo
    `Inline code` with backticksInline code with backticks
    > Blockquote
    -

    Blockquote

    -
    - Things in
-- an unordered
-- list
    * Things in
-* an unordered
-* list
      -
    • Things in
      • -
    • an unordered
      • -
    • list
      • -
    1. Things in
-2. an ordered
-3. list
    1) Things in
-2) an ordered
-3) list
      -
    1. Things in
      2. -
    2. an ordered
      3. -
    3. list
      4. -
    Horizontal line
-
----
    Horizontal line
-
-***

    Horizontal line

    -
    - -## Math - -### Basic math commands - -Markdown uses LaTeX to create fancy mathematical equations. There are like a billion little options and features available for math equations—you can find [helpful examples of the the most common basic commands here](http://www.malinc.se/math/latex/basiccodeen.php). In this class, these will be the most common things you'll use: - -```{r echo=FALSE, warning=FALSE, message=FALSE} -library(tidyverse) -library(kableExtra) - -math_table <- tribble( - ~group, ~Description, ~Command, ~Output, - "Letters", "Roman letters", "a b c d e f", "\\(a\\ b\\ c\\ d\\ e\\ f\\)", - "Letters", "Greek letters (see this for all possible letters)", "\\alpha \\beta \\Gamma \\gamma
    \\Delta \\delta \\epsilon", "\\(\\alpha\\ \\beta\\ \\Gamma\\ \\gamma\\ \\Delta\\ \\delta\\ \\epsilon\\)", - "Letters", "Letters will automatically be italicized and treated as math variables;
    if you want actual text in the math, use \\text{}", "Ew: Treatment = \\beta
    Good: \\text{Treatment} = \\beta", "Ew: \\(Treatment = \\beta\\)
    Good: \\(\\text{Treatment} = \\beta\\)", - "Letters", "Extra spaces will automatically be removed; if you want a space, use \\ ", "No space: x y
    Space: x\\ y", "No space: \\(x y\\)
    Space: \\(x \\ y\\)", - "Superscripts and subscripts", "Use ^ to make one character superscripted.", "x^2", "\\(x^2\\)", - "Superscripts and subscripts", "Wrap the superscripted part in {} if there's more than one character", "x^{2+y}", "\\(x^{2+y}\\)", - "Superscripts and subscripts", "Use _ to make one character subscripted", "\\beta_1", "\\(\\beta_1\\)", - "Superscripts and subscripts", "Wrap the subscripted part in {} if there's more than one character", "\\beta_{i, t}", "\\(\\beta_{i, t}\\)", - "Superscripts and subscripts", "Use superscripts and subscripts simultaneously", "\\beta_1^{\\text{Treatment}}", "\\(\\beta_1^{\\text{Treatment}}\\)", - "Superscripts and subscripts", "You can even nest them", "x^{2^{2^2}}", "\\(x^{2^{2^2}}\\)", - "Math operations", "Addition", "2 + 5 = 7", "\\(2 + 5 = 7\\)", - "Math operations", "Subtraction", "2 - 5 = -3", "\\(2 + 5 = -3\\)", - "Math operations", "Multiplication", "x \\times y
    x \\cdot y", "\\(x \\times y\\)
    \\(x \\cdot y\\)", - "Math operations", "Division", "8 \\div 2", "\\(8 \\div 2\\)", - "Math operations", "Fractions", "\\frac{8}{2}", "\\(\\frac{8}{2}\\)", - "Math operations", "Square roots; use [3] for other roots", "\\sqrt{81} = 9
    \\sqrt[3]{27} = 3", "\\(\\sqrt{81} = 9\\)
    \\(\\sqrt[3]{27} = 3\\)", - "Math operations", "Summation; use sub/superscripts for extra details", "\\sum x
    \\sum_{n=1}^{\\infty} \\frac{1}{n}", "\\(\\sum x\\)
    \\(\\sum_{n=1}^{\\infty} \\frac{1}{n}\\)", - "Math operations", "Products; use sub/superscripts for extra details", "\\prod x
    \\prod_{n=1}^{5} n^2", "\\(\\prod x\\)
    \\(\\prod_{n=1}^{5} n^2\\)", - "Math operations", "Integrals; use sub/superscripts for extra details", "\\int x^2 \\ dx
    \\int_{1}^{100} x^2 \\ dx", "\\(\\int x^2 \\ dx\\)
    \\(\\int_{1}^{100} x^2 \\ dx\\)", - "Extra symbols", "Add a bar for things like averages", "\\bar{x}", "\\(\\bar{x}\\)", - "Extra symbols", "Use an overline for longer things", "Ew: \\bar{abcdef}
    Good: \\overline{abcdef}", "Ew: \\(\\bar{abcdef}\\)
    Good: \\(\\overline{abcdef}\\)", - "Extra symbols", "Add a hat for things like estimates", "\\hat{y}", "\\(\\hat{y}\\)", - "Extra symbols", "Use a wide hat for longer things", "Ew: \\hat{abcdef}
    Good: \\widehat{abcdef}", "Ew: \\(\\hat{abcdef}\\)
    Good: \\(\\widehat{abcdef}\\)", - "Extra symbols", "Use arrows for DAG-like things", "Z \\rightarrow Y \\leftarrow X", "\\(Z \\rightarrow Y \\leftarrow X\\)", - "Bonus fun", "Use colors!; see here for more details and here for a list of color names", "\\color{red}{y} = \\color{blue}{\\beta_1 x_1}", "\\(\\color{red}{y}\\ \\color{black}{=}\\ \\color{blue}{\\beta_1 x_1}\\)" -) - -math_table %>% - select(-group) %>% - kable(escape = FALSE) %>% - kableExtra::pack_rows(index = table(fct_inorder(math_table$group))) %>% - kable_styling() -``` - -### Using math inline - -You can use math in two different ways: inline or in a display block. To use math inline, wrap it in single dollar signs, like ``$y = mx + b$``: - - ---- - - - - - - - - - - - - -
    Type……to get
    Based on the DAG, the regression model for
-estimating the effect of education on wages
-is $\hat{y} = \beta_0 + \beta_1 x_1 + \epsilon$, 
-or $\text{Wages} = \beta_0 + 
-\beta_1 \text{Education} + \epsilon$.
    		Based on the DAG, the regression model for -estimating the effect of education on wages -is $\hat{y} = \beta_0 + \beta_1 x_1 + \epsilon$, or -$\text{Wages} = \beta_0 + \beta_1 \text{Education} + \epsilon$.
    - -### Using math in a block - -To put an equation on its own line in a display block, wrap it in double dollar signs, like this: - -**Type…** - -```text -The quadratic equation was a way to solve for $x$ in high school math: - -$$ -x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} -$$ -``` - -**…to get…** - -> The quadratic equation was a way to solve for $x$ in high school math: -> -> $$ -> x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} -> $$ - ---- - -### Dollar signs and math - -Because dollar signs are used to indicate math equations, you can't just use dollar signs like normal if you're writing about actual dollars. For instance, if you write `This book costs $5.75 and this other costs $40`, Markdown will treat everything that comes between the dollar signs as math, like so: "This book costs \\($5.75 and this other costs $40\\)". - -To get around that, put a backslash (`\`) in front of the dollar signs, so that `This book costs \$5.75 and this other costs \$40` becomes "This book costs $5.75 and this other costs $40". - - -## Tables - -There are 4 different ways to hand-create tables in Markdown—I say "hand-create" because it's normally way easier to use R to generate these things with packages like [**kableExtra**](https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html) (use `kable()`) or [**pander**](https://rapporter.github.io/pander/) (use `pandoc.table()`). The two most common are simple tables and pipe tables. [You should look at the full documentation here](https://pandoc.org/MANUAL.html#tables). - -**For simple tables, type…** - -```text - Right Left Center Default -------- ------ ---------- ------- - 12 12 12 12 - 123 123 123 123 - 1 1 1 1 - -Table: Caption goes here -``` - -**…to get…** - -| Right | Left | Center | Default | -|------:|:-----|:-------:|---------| -| 12 | 12 | 12 | 12 | -| 123 | 123 | 123 | 123 | -| 1 | 1 | 1 | 1 | - -Table: Caption goes here - - -**For pipe tables, type…** - -```text -| Right | Left | Default | Center | -|------:|:-----|---------|:------:| -| 12 | 12 | 12 | 12 | -| 123 | 123 | 123 | 123 | -| 1 | 1 | 1 | 1 | - -Table: Caption goes here -``` - -**…to get…** - -| Right | Left | Default | Center | -|------:|:-----|---------|:------:| -| 12 | 12 | 12 | 12 | -| 123 | 123 | 123 | 123 | -| 1 | 1 | 1 | 1 | - -Table: Caption goes here - - -## Footnotes - -There are two different ways to add footnotes ([see here for complete documentation](https://pandoc.org/MANUAL.html#footnotes)): regular and inline. - -Regular notes need (1) an identifier and (2) the actual note. The identifier can be whatever you want. Some people like to use numbers like `[^1]`, but if you ever rearrange paragraphs or add notes before #1, the numbering will be wrong (in your Markdown file, not in the output; everything will be correct in the output). Because of that, I prefer to use some sort of text label: - -**Type…** - -```text -Here is a footnote reference[^1] and here is another [^note-on-dags]. - -[^1]: This is a note. - -[^note-on-dags]: DAGs are neat. - -And here's more of the document. -``` - -**…to get…** - -> Here is a footnote reference1 and here is another.2 -> -> And here's more of the document. -> ->
    -> ->
    ->
      ->

    1. This is a note.↩︎

      2. ->

    2. DAGs are neat.↩︎

      3. ->
    ->
    - ---- - -You can also use inline footnotes with `^[Text of the note goes here]`, which are often easier because you don't need to worry about identifiers: - -**Type…** - -```text -Causal inference is neat.^[But it can be hard too!] -``` - -**…to get…** - -> Causal inference is neat.1 -> ->
    -> ->
    ->
      ->

    1. But it can be hard too!↩︎

      2. ->
    ->
    - -## Front matter - -You can include a special section at the top of a Markdown document that contains metadata (or data about your document) like the title, date, author, etc. This section uses a special simple syntax named [YAML](https://learn.getgrav.org/16/advanced/yaml) (or "YAML Ain't Markup Language") that follows this basic outline: `setting: value for setting`. Here's an example YAML metadata section. Note that it must start and end with three dashes (`---`). - -```yaml ---- -title: Title of your document -date: "January 13, 2020" -author: "Your name" ---- -``` - -You can put the values inside quotes (like the date and name in the example above), or you can leave them outside of quotes (like the title in the example above). I typically use quotes just to be safe—if the value you're using has a colon (`:`) in it, it'll confuse Markdown since it'll be something like `title: My cool title: a subtitle`, which has two colons. It's better to do this: - -```yaml ---- -title: "My cool title: a subtitle" ---- -``` - -If you want to use quotes inside one of the values (e.g. your document is `An evaluation of "scare quotes"`), you can use single quotes instead: - -```yaml ---- -title: 'An evaluation of "scare quotes"' ---- -``` - - -## Citations - -One of the most powerful features of Markdown + pandoc is the ability to automatically cite things and generate bibliographies. to use citations, you need to create a [BibTeX file](http://www.bibtex.org/) (ends in `.bib`) that contains a database of the things you want to cite. You can do this with bibliography managers designed to work with BibTeX directly (like [BibDesk](https://bibdesk.sourceforge.io/) on macOS), or you can use [Zotero](https://www.zotero.org/) (macOS and Windows) to export a `.bib` file. You can [download an example `.bib` file of all the readings from this class here](/resource/citations.qmd). - -[Complete details for using citations can be found here](https://rmarkdown.rstudio.com/authoring_bibliographies_and_citations.html). In brief, you need to do three things: - -1. Add a `bibliography:` entry to the YAML metadata: - - ```yaml - --- - title: Title of your document - date: "January 13, 2020" - author: "Your name" - bibliography: name_of_file.bib - --- - ``` - -2. Choose a citation style based on a CSL file. The default is Chicago author-date, but you can choose from 2,000+ [at this repository](https://github.com/citation-style-language/styles). Download the CSL file, put it in your project folder, and add an entry to the YAML metadata (or provide a URL to the online version): - - ```yaml - --- - title: Title of your document - date: "January 13, 2020" - author: "Your name" - bibliography: name_of_file.bib - csl: "https://raw.githubusercontent.com/citation-style-language/styles/master/apa.csl" - --- - ``` - - Some of the most common CSLs are: - - - [Chicago author-date](https://raw.githubusercontent.com/citation-style-language/styles/master/chicago-author-date.csl) - - [Chicago note-bibliography](https://raw.githubusercontent.com/citation-style-language/styles/master/chicago-note-bibliography.csl) - - [Chicago full note-bibliography](https://raw.githubusercontent.com/citation-style-language/styles/master/chicago-fullnote-bibliography.csl) (no shortened notes or ibids) - - [APA 7th edition](https://raw.githubusercontent.com/citation-style-language/styles/master/apa.csl) - - [MLA 8th edition](https://raw.githubusercontent.com/citation-style-language/styles/master/modern-language-association.csl) - -3. Cite things in your document. [Check the documentation for full details of how to do this](https://rmarkdown.rstudio.com/authoring_bibliographies_and_citations.html). Essentially, you use `@citationkey` inside square brackets (`[]`): - -+--------------------------------------------------+--------------------------------------------------------------------------------------------------+ -| Type… | …to get… | -+==================================================+==================================================================================================+ -| Causal inference is neat [@Rohrer:2018; | Causal inference is neat [@Rohrer:2018; @AngristPischke:2015]. | -| @AngristPischke:2015]. | | -+--------------------------------------------------+--------------------------------------------------------------------------------------------------+ -| Causal inference is neat [see @Rohrer:2018, | Causal inference is neat [see @Rohrer:2018, p. 34; also @AngristPischke:2015, chapter 1] | -| p. 34; also @AngristPischke:2015, chapter 1] | | -+--------------------------------------------------+--------------------------------------------------------------------------------------------------+ -| Angrist and Pischke say causal inference | Angrist and Pischke say causal inference is neat [-@AngristPischke:2015; see also @Rohrer:2018]. | -| is neat [-@AngristPischke:2015; see also | | -| @Rohrer:2018]. | | -+--------------------------------------------------+--------------------------------------------------------------------------------------------------+ -| @AngristPischke:2015 [chapter 1] say causal | @AngristPischke:2015 [chapter 1] say causal inference is neat, and @Rohrer:2018 agrees. | -| inference is neat, and @Rohrer:2018 agrees. | | -+--------------------------------------------------+--------------------------------------------------------------------------------------------------+ - -After compiling, you should have a perfectly formatted bibliography added to the end of your document too: - -> Angrist, Joshua D., and Jörn-Steffen Pischke. 2015. *Mastering ’Metrics: The Path from Cause to Effect.* Princeton, NJ: Princeton University Press. -> -> Rohrer, Julia M. 2018. “Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data.” *Advances in Methods and Practices in Psychological Science* 1 (1): 27–42. https://doi.org/10.1177/2515245917745629. - - -## Other references - -These websites have additional details and examples and practice tools: - -- [**CommonMark's Markdown tutorial**](https://commonmark.org/help/tutorial/): A quick interactive Markdown tutorial. -- [**Markdown tutorial**](https://www.markdowntutorial.com/): Another interactive tutorial to practice using Markdown. -- [**Markdown cheatsheet**](http://packetlife.net/media/library/16/Markdown.pdf): Useful one-page reminder of Markdown syntax. -- [**The Plain Person’s Guide to Plain Text Social Science**](http://plain-text.co/): A comprehensive explanation and tutorial about why you should write data-based reports in Markdown. diff --git a/resource/r.qmd b/resource/r.qmd deleted file mode 100644 index ab321adc..00000000 --- a/resource/r.qmd +++ /dev/null @@ -1,42 +0,0 @@ ---- -title: R ---- - -## Learning R - -I highly recommend subscribing to the [R Weekly newsletter](https://rweekly.org/). This e-mail is sent every Monday and is full of helpful tutorials about how to do stuff with R. - -Searching for help with R on Google can sometimes be tricky because the program name is a single letter. Google is generally smart enough to figure out what you mean when you search for "r scatterplot", but if it does struggle, try searching for "rstats" instead (e.g. "rstats scatterplot"). - -If you use Twitter, post R-related questions and content with [#rstats](https://twitter.com/search?q=%23rstats). The community there is exceptionally generous and helpful. Also check out [StackOverflow](https://stackoverflow.com/) (a Q&A site with hundreds of thousands of answers to all sorts of programming questions) and [RStudio Community](https://community.rstudio.com/) (a forum specifically designed for people using RStudio and the tidyverse (i.e. you)). - -These resources are also really really helpful: - -- [**R for Data Science**](https://r4ds.had.co.nz/): A free online book for learning the basics of R and the tidyverse. -- [**R and RStudio cheat sheets**](https://www.rstudio.com/resources/cheatsheets/): A large collection of simple cheat sheets for RStudio, **ggplot2**, and other R-related things. -- [**Stat 545**](http://stat545.com/): [Dr. Jenny Bryan](https://twitter.com/JennyBryan) at RStudio has an entire introductory course in R, visualization, and data analysis online. -- [**STA 112FS: Data Science**](http://www2.stat.duke.edu/courses/Fall17/sta112.01/): [Dr. Mine Çetinkaya-Rundel](https://twitter.com/minebocek) at the University of Edinburgh / Duke University has an entire introductory course in R, visualization, and data science online. -- [**CSE 631: Principles & Practice of Data Visualization**](http://cslu.ohsu.edu/~bedricks/courses/cs631/): Yet another introductory course for R and ggplot2 by [Dr. Alison Presmanes Hill](https://twitter.com/apreshill) at RStudio. - - -## R in the wild - -A popular (and increasingly standard) way for sharing your analyses and visualizations is to post an annotated explanation of your process somewhere online. RStudio allows you to publish knitted HTML files directly to [RPubs](http://rpubs.com/), but you can also post your output to a blog or other type of website.[^blogdown] Reading these kinds of posts is one of the best ways to learn R, since they walk you through each step of the process *and* show the code and output. - -[^blogdown]: If you want to be really fancy, you can use [blogdown](https://bookdown.org/yihui/blogdown/), which makes a complete website with R Markdown files. That's actually how this site is built ([see the source code](https://github.com/andrewheiss/datavizm20.classes.andrewheiss.com)). You can build your own site [with this tutorial](https://apreshill.rbind.io/post/up-and-running-with-blogdown/). - -Here are some of the best examples I've come across: - -- [Text analysis of Trump's tweets confirms he writes only the (angrier) Android half](http://varianceexplained.org/r/trump-tweets/) (with a [follow-up](http://varianceexplained.org/r/trump-followup/)) -- [Bob Ross - Joy of Painting](https://rudeboybert.github.io/fivethirtyeight/articles/bob_ross.html) -- [Bechdel analysis using the tidyverse](https://rudeboybert.github.io/fivethirtyeight/articles/bechdel.html): There are also a bunch of other examples [using data from FiveThirtyEight](https://rudeboybert.github.io/fivethirtyeight/articles/). -- [Sexism on the Silver Screen: Exploring film's gender divide](http://rpubs.com/Jwhitman/Final_Project) -- [Comparison of Quentin Tarantino Movies by Box Office and the Bechdel Test](http://soc301s2017.netlify.com/group_projects/group5) -- [Who came to vote in Utah's caucuses?](https://juliasilge.com/blog/who-came-to-vote/) -- [Health care indicators in Utah counties](https://juliasilge.com/blog/health-care-indicators/) -- [Song lyrics across the United States](https://juliasilge.com/blog/song-lyrics-across/) -- [A decade (ish) of listening to Sigur Rós](http://blog.karawoo.com/2016/09/22/A-decade-ish-of-listening-to-Sigur-Ros) -- [When is Tom peeping these days?](http://rpubs.com/ry_lisa_elana/chicago): There are a also bunch of final projects from other R and data visualization classes [here](http://soc301s2017.netlify.com/group-projects/) and [here](https://rudeboybert.github.io/MATH116/PS/final_project/final_project_outline.html#past_examples). -- [Mapping Fall Foliage](https://rud.is/b/2017/09/18/mapping-fall-foliage-with-sf/) -- [General (Attys) Distributions](https://rud.is/b/2017/07/25/r%E2%81%B6-general-attys-distributions/) -- [Disproving Approval](https://rud.is/b/2017/06/18/r%E2%81%B6-disproving-approval/) diff --git a/resource/rmarkdown.qmd b/resource/rmarkdown.qmd deleted file mode 100644 index 91179031..00000000 --- a/resource/rmarkdown.qmd +++ /dev/null @@ -1,156 +0,0 @@ ---- -title: "Using R Markdown" ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.align = "center") -``` - -[R Markdown](https://rmarkdown.rstudio.com/) is [regular Markdown](/resource/markdown.qmd) with R code and output sprinkled in. You can do everything you can with [regular Markdown](/resource/markdown.qmd), but you can incorporate graphs, tables, and other R output directly in your document. You can create HTML, PDF, and Word documents, PowerPoint and HTML presentations, websites, books, and even [interactive dashboards](https://rmarkdown.rstudio.com/flexdashboard/index.html) with R Markdown. This whole course website is created with R Markdown (and [a package named **blogdown**](https://bookdown.org/yihui/blogdown/)). - -The [documentation for R Markdown](https://rmarkdown.rstudio.com/) is extremely comprehensive, and their [tutorials](https://rmarkdown.rstudio.com/lesson-1.html) and [cheatsheets](https://rmarkdown.rstudio.com/lesson-15.html) are excellent—rely on those. - -Here are the most important things you'll need to know about R Markdown in this class: - -## Key terms - -- **Document**: A Markdown file where you type stuff - -- **Chunk**: A piece of R code that is included in your document. It looks like this: - -````{verbatim, indent=" "} -```{r} -# Code goes here -``` -```` - - There must be an empty line before and after the chunk. The final three backticks must be the only thing on the line—if you add more text, or if you forget to add the backticks, or accidentally delete the backticks, your document will not knit correctly. - -- **Knit**: When you "knit" a document, R runs each of the chunks sequentially and converts the output of each chunk into Markdown. R then runs the knitted document through [pandoc](https://pandoc.org/) to convert it to HTML or PDF or Word (or whatever output you've selected). - - You can knit by clicking on the "Knit" button at the top of the editor window, or by pressing `⌘⇧K` on macOS or `control + shift + K` on Windows. - -```{r knit-button, echo=FALSE, out.width="30%"} -knitr::include_graphics("/files/img/assignments/knit-button.png", error = FALSE) -``` - - -## Add chunks - -There are three ways to insert chunks: - -- Press `⌘⌥I` on macOS or `control + alt + I` on Windows - -- Click on the "Insert" button at the top of the editor window - -```{r insert-chunk, echo=FALSE, out.width="30%"} -knitr::include_graphics("/files/img/reference/insert-chunk.png", error = FALSE) -``` - -- Manually type all the backticks and curly braces (don't do this) - - -## Chunk names - -You can add names to chunks to make it easier to navigate your document. If you click on the little dropdown menu at the bottom of your editor in RStudio, you can see a table of contents that shows all the headings and chunks. If you name chunks, they'll appear in the list. If you don't include a name, the chunk will still show up, but you won't know what it does. - -```{r chunk-toc, echo=FALSE, out.width="40%"} -knitr::include_graphics("/files/img/reference/chunk-toc.png", error = FALSE) -``` - -To add a name, include it immediately after the `{r` in the first line of the chunk. Names cannot contain spaces, but they can contain underscores and dashes. **All chunk names in your document must be unique.** - -````{verbatim} -```{r name-of-this-chunk} -# Code goes here -``` -```` - - -## Chunk options - -There are a bunch of different options you can set for each chunk. You can see a complete list in the [RMarkdown Reference Guide](https://rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf) or at [**knitr**'s website](https://yihui.org/knitr/options/). - -Options go inside the `{r}` section of the chunk: - -````{verbatim} -```{r name-of-this-chunk, warning=FALSE, message=FALSE} -# Code goes here -``` -```` - -The most common chunk options are these: - -- `fig.width=5` and `fig.height=3` (*or whatever number you want*): Set the dimensions for figures -- `echo=FALSE`: The code is not shown in the final document, but the results are -- `message=FALSE`: Any messages that R generates (like all the notes that appear after you load a package) are omitted -- `warning=FALSE`: Any warnings that R generates are omitted -- `include=FALSE`: The chunk still runs, but the code and results are not included in the final document - -You can also set chunk options by clicking on the little gear icon in the top right corner of any chunk: - -```{r chunk-options, echo=FALSE, out.width="70%"} -knitr::include_graphics("/files/img/reference/chunk-options.png", error = FALSE) -``` - -## Inline chunks - -You can also include R output directly in your text, which is really helpful if you want to report numbers from your analysis. To do this, use `` `r "\u0060r r_code_here\u0060"` ``. - -It's generally easiest to calculate numbers in a regular chunk beforehand and then use an inline chunk to display the value in your text. For instance, this document… - -````{verbatim} -```{r find-avg-mpg, echo=FALSE} -avg_mpg <- mean(mtcars$mpg) -``` - -The average fuel efficiency for cars from 1974 was `r round(avg_mpg, 1)` miles per gallon. -```` - -… would knit into this: - -> The average fuel efficiency for cars from 1974 was `r round(mean(mtcars$mpg), 1)` miles per gallon. - -## Output formats - -You can specify what kind of document you create when you knit in the [YAML front matter](/resource/markdown.qmd#front-matter). - -```yaml -title: "My document" -output: - html_document: default - pdf_document: default - word_document: default -``` - -You can also click on the down arrow on the "Knit" button to choose the output *and* generate the appropriate YAML. If you click on the gear icon next to the "Knit" button and choose "Output options", you change settings for each specific output type, like default figure dimensions or whether or not a table of contents is included. - -```{r output-options, echo=FALSE, out.width="35%"} -knitr::include_graphics("/files/img/reference/output-options.png", error = FALSE) -``` - -The first output type listed under `output:` will be what is generated when you click on the "Knit" button or press the keyboard shortcut (`⌘⇧K` on macOS; `control + shift + K` on Windows). If you choose a different output with the "Knit" button menu, that output will be moved to the top of the `output` section. - -The indentation of the YAML section matters, especially when you have settings nested under each output type. Here's what a typical `output` section might look like: - -```yaml ---- -title: "My document" -author: "My name" -date: "January 13, 2020" -output: - html_document: - toc: yes - fig_caption: yes - fig_height: 8 - fig_width: 10 - pdf_document: - latex_engine: xelatex # More modern PDF typesetting engine - toc: yes - word_document: - toc: yes - fig_caption: yes - fig_height: 4 - fig_width: 5 ---- -``` diff --git a/resource/style.qmd b/resource/style.qmd deleted file mode 100644 index b7288548..00000000 --- a/resource/style.qmd +++ /dev/null @@ -1,208 +0,0 @@ ---- -title: R style suggestions ---- - -## R style conventions - -R is fairly forgiving about how you type code (unlike other languages like Python, where miscounting spaces can ruin your code!). All of these things will do exactly the same thing: - -```{r eval=FALSE, tidy=FALSE} -mpg %>% - filter(cty > 10, class == "compact") - -mpg %>% filter(cty > 10, class == "compact") - -mpg %>% - filter(cty > 10, - class == "compact") - -mpg %>% filter(cty>10, class=="compact") - -filter(mpg,cty>10,class=="compact") - -mpg %>% -filter(cty > 10, - class == "compact") - -filter ( mpg,cty>10, class=="compact" ) -``` - -But you'll notice that only a few of those iterations (the first three) are easily readable. - -To help improve readability and make it easier to share code with others, there's [an unofficial style guide for writing R code](https://style.tidyverse.org/index.html). It's fairly short and just has lots of examples of good and bad ways of writing code (naming variables, dealing with long lines, using proper indentation levels, etc.)—you should glance through it some time. - -RStudio has a built-in way of cleaning up your code. Select some code, press ctrl + i (on Windows) or ⌘ + i (on macOS), and R will reformat the code for you. It's not always perfect, but it's really helpful for getting indentation right without having to manually hit space a billion times. - -## Main style things to pay attention to for this class - -> *Important note*: I won't ever grade you on any of this! If you submit something like `filter(mpg,cty>10,class=="compact")`, I might recommend adding spaces, but it won't affect your grade or points or anything. - -### Spacing - -> See the ["Spacing" section](https://style.tidyverse.org/syntax.html#spacing) in the tidyverse style guide. - -Put spaces after commas (like in regular English): - -```{r eval=FALSE} -# Good -filter(mpg, cty > 10) - -# Bad -filter(mpg , cty > 10) -filter(mpg ,cty > 10) -filter(mpg,cty > 10) -``` - -Put spaces around operators like `+`, `-`, `>`, `=`, etc.: - -```{r eval=FALSE} -# Good -filter(mpg, cty > 10) - -# Bad -filter(mpg, cty>10) -filter(mpg, cty> 10) -filter(mpg, cty >10) -``` - -Don't put spaces around parentheses that are parts of functions: - -```{r eval=FALSE} -# Good -filter(mpg, cty > 10) - -# Bad -filter (mpg, cty > 10) -filter ( mpg, cty > 10) -filter( mpg, cty > 10 ) -``` - -### Long lines - -> See the ["Long lines" section](https://style.tidyverse.org/syntax.html#long-lines) in the tidyverse style guide. - -It's generally good practice to not have really long lines of code. A good suggestion is to keep lines at a maximum of 80 characters. Instead of counting characters by hand (ew), in RStudio go to "Tools" > "Global Options" > "Code" > "Display" and check the box for "Show margin". You should now see a really thin line indicating 80 characters. Again, you can go beyond this—that's fine. It's just good practice to avoid going too far past it. - -You can add line breaks inside longer lines of code. Line breaks should come after commas, and things like function arguments should align within the function: - -```{r eval=FALSE} -# Good -filter(mpg, cty > 10, class == "compact") - -# Good -filter(mpg, cty > 10, - class == "compact") - -# Good -filter(mpg, - cty > 10, - class == "compact") - -# Bad -filter(mpg, cty > 10, class %in% c("compact", "pickup", "midsize", "subcompact", "suv", "2seater", "minivan")) - -# Good -filter(mpg, - cty > 10, - class %in% c("compact", "pickup", "midsize", "subcompact", - "suv", "2seater", "minivan")) -``` - -### Pipes (`%>%`) and ggplot layers (`+`) - -Put each layer of a ggplot plot on separate lines, with the `+` at the end of the line, indented with two spaces: - -```{r eval=FALSE} -# Good -ggplot(mpg, aes(x = cty, y = hwy, color = class)) + - geom_point() + - geom_smooth() + - theme_bw() - -# Bad -ggplot(mpg, aes(x = cty, y = hwy, color = class)) + - geom_point() + geom_smooth() + - theme_bw() - -# Super bad -ggplot(mpg, aes(x = cty, y = hwy, color = class)) + geom_point() + geom_smooth() + theme_bw() - -# Super bad and won't even work -ggplot(mpg, aes(x = cty, y = hwy, color = class)) - + geom_point() - + geom_smooth() - + theme_bw() -``` - -Put each step in a dplyr pipeline on separate lines, with the `%>%` at the end of the line, indented with two spaces: - -```{r eval=FALSE} -# Good -mpg %>% - filter(cty > 10) %>% - group_by(class) %>% - summarize(avg_hwy = mean(hwy)) - -# Bad -mpg %>% filter(cty > 10) %>% group_by(class) %>% - summarize(avg_hwy = mean(hwy)) - -# Super bad -mpg %>% filter(cty > 10) %>% group_by(class) %>% summarize(avg_hwy = mean(hwy)) - -# Super bad and won't even work -mpg %>% - filter(cty > 10) - %>% group_by(class) - %>% summarize(avg_hwy = mean(hwy)) -``` - -### Comments - -> See the ["Comments" section](https://style.tidyverse.org/syntax.html#comments) in the tidyverse style guide. - -Comments should start with a comment symbol and a single space: `# ` - -```{r eval=FALSE} -# Good - -#Bad - - #Bad -``` - -If the comment is really short (and won't cause you to go over 80 characters in the line), you can include it in the same line as the code, separated by at least two spaces (it works with one space, but using a couple can enhance readability): - -```{r eval=FALSE} -mpg %>% - filter(cty > 10) %>% # Only rows where cty is 10 + - group_by(class) %>% # Divide into class groups - summarize(avg_hwy = mean(hwy)) # Find the average hwy in each group -``` - -You can add extra spaces to get inline comments to align, if you want: - -```{r eval=FALSE} -mpg %>% - filter(cty > 10) %>% # Only rows where cty is 10 + - group_by(class) %>% # Divide into class groups - summarize(avg_hwy = mean(hwy)) # Find the average hwy in each group -``` - -If the comment is really long, you can break it into multiple lines. RStudio can do this for you if you go to "Code" > "Reflow comment" - -```{r eval=FALSE} -# Good -# Happy families are all alike; every unhappy family is unhappy in its own way. -# Everything was in confusion in the Oblonskys’ house. The wife had discovered -# that the husband was carrying on an intrigue with a French girl, who had been -# a governess in their family, and she had announced to her husband that she -# could not go on living in the same house with him. This position of affairs -# had now lasted three days, and not only the husband and wife themselves, but -# all the members of their family and household, were painfully conscious of it. - -# Bad -# Happy families are all alike; every unhappy family is unhappy in its own way. Everything was in confusion in the Oblonskys’ house. The wife had discovered that the husband was carrying on an intrigue with a French girl, who had been a governess in their family, and she had announced to her husband that she could not go on living in the same house with him. This position of affairs had now lasted three days, and not only the husband and wife themselves, but all the members of their family and household, were painfully conscious of it. -``` - -Though, if you're dealing with comments that are *that* long, consider putting the text in R Markdown instead and having it be actual prose. diff --git a/resource/unzipping.qmd b/resource/unzipping.qmd deleted file mode 100644 index 80b61b68..00000000 --- a/resource/unzipping.qmd +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: "Unzipping files" ---- - -Because RStudio projects typically consist of multiple files (R scripts, datasets, graphical output, etc.) the easiest way to distribute them to you for examples, assignments, and projects is to combine all the different files in to a single compressed collection called a **zip file**. When you unzip a zipped file, your operating system extracts all the files that are contained inside into a new folder on your computer. - -Unzipping files on macOS is trivial, but unzipping files on Windows can mess you up if you don't pay careful attention. Here's a helpful guide to unzipping files on both macOS and Windows. - - -## Unzipping files on macOS - -Double click on the downloaded `.zip` file. macOS will automatically create a new folder with the same name as the `.zip` file, and all the file's contents will be inside. Double click on the RStudio Project file (`.Rproj`) to get started. - -```{r, echo=FALSE, out.width="60%"} -knitr::include_graphics("/files/img/unzipping/unzip-mac.png", error = FALSE) -``` - - -## Unzipping files on Windows - -***tl;dr**: Right click on the `.zip` file, select "Extract All…", and work with the resulting unzipped folder.* - -Unlike macOS, Windows does *not* automatically unzip things for you. If you double click on the `.zip` file, Windows will show you what's inside, but it will do so without actually extracting anything. This ~~can be~~ is incredibly confusing! Here's what it looks like—the only clues that this folder is really a `.zip` file are that there's a "Compressed Folder Tools" tab at the top, and there's a "Ratio" column that shows how much each file is compressed. - -```{r, echo=FALSE, out.width="80%"} -knitr::include_graphics("/files/img/unzipping/inside-zip-windows.png", error = FALSE) -``` - -It is very tempting to try to open files from this view. However, if you do, things will break and you won't be able to correctly work with any of the files in the zipped folder. If you open the R Project file, for instance, RStudio will point to a bizarre working directory buried deep in some temporary folder: - -```{r, echo=FALSE, out.width="60%"} -knitr::include_graphics("/files/img/unzipping/temp-wd-windows.png", error = FALSE) -``` - -You most likely won't be able to open any data files or save anything, which will be frustrating. - -Instead, you need to right click on the `.zip` file and select "Extract All…": - -```{r, echo=FALSE, out.width="60%"} -knitr::include_graphics("/files/img/unzipping/extract-windows-1.png", error = FALSE) -``` - -Then choose where you want to unzip all the files and click on "Extract" - -```{r, echo=FALSE, out.width="60%"} -knitr::include_graphics("/files/img/unzipping/extract-windows-2.png", error = FALSE) -``` - -You should then finally have a real folder with all the contents of the zipped file. Open the R Project file and RStudio will point to the correct working directory and everything will work. - -```{r, echo=FALSE, out.width="60%"} -knitr::include_graphics("/files/img/unzipping/extract-windows-3.png", error = FALSE) -``` diff --git a/resource/zilch.qmd b/resource/zilch.qmd deleted file mode 100644 index 4d7ec744..00000000 --- a/resource/zilch.qmd +++ /dev/null @@ -1,277 +0,0 @@ ---- -title: Zilch and simulations ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(fig.width = 6, fig.height = 3.6, fig.align = "center", - fig.retina = 3, collapse = TRUE) -library(tidyverse) -library(kableExtra) -library(scales) - -options("digits" = 4, "width" = 150) - -set.seed(1234) -``` - -```{css, echo=FALSE} -.dice { - width: auto; - height: 30px; - display: inline; -} -``` - -## Zilch! - -### Rules - -Roll six dice. You must keep at least one scoring die every roll. You must get at least 500 points before stopping and keeping the total. If you do not get 500 points, you get zilch (0) that round and the next person rolls. - -After reaching 500 points, you can either stop, write down, and keep your score or continue to roll. As long as you can keep at least one scoring die, you can continue to roll and accumulate points. If you do not get a scoring combination in a roll, you lose all those points. - -If you score with all six dice, you can pick them all up and continue rolling with them. - -Whoever reaches 10,000 points first wins. - -### Point system - -```{r scoring-table, echo=FALSE} -dice_1 <- '1' -dice_2 <- '2' -dice_3 <- '3' -dice_4 <- '4' -dice_5 <- '5' -dice_6 <- '6' - -points <- tribble( - ~Group, ~Roll, ~Points, - "Single dice", dice_1, 100, - "Single dice", dice_5, 50, - "Three of a kind (number × 100)", paste(rep(dice_2, 3), collapse = " "), 200, - "Three of a kind (number × 100)", paste(rep(dice_3, 3), collapse = " "), 300, - "Three of a kind (number × 100)", paste(rep(dice_4, 3), collapse = " "), 400, - "Three of a kind (number × 100)", paste(rep(dice_5, 3), collapse = " "), 500, - "Three of a kind (number × 100)", paste(rep(dice_6, 3), collapse = " "), 600, - "Special rolls", paste(rep(dice_1, 3), collapse = " "), 1000, - "Special rolls", paste(rep(dice_1, 4), collapse = " "), 2000, - "Special rolls", paste("Any three pairs
    e.g., ", paste(dice_2, dice_2, dice_3, dice_3, dice_6, dice_6, collapse = " ")), 1000, - "Special rolls", paste("5-die straight
    ", paste(dice_1, dice_2, dice_3, dice_4, dice_5, collapse = " "), " or
    ", paste(dice_2, dice_3, dice_4, dice_5, dice_6, collapse = " ")), 1750 -) - -points %>% - mutate(Points = comma(Points)) %>% - select(-Group) %>% - kbl(escape = FALSE, align = c("l", "r"), - table.attr = "style='width:100%;'") %>% - pack_rows(index = table(fct_inorder(points$Group))) %>% - kable_styling(bootstrap_options = "none", position = "center") -``` - - -## Probability with math - -You can use probability math to calculate the chance of rolling at least a 1 or a 5 (so that you score something and can roll again). If you're only rolling 1 die, the chance of rolling a 1 or a 5 is $\frac{2}{6}$, or $\frac{1}{3}$. When you start thinking about 2 dice, though, the math gets a little trickier because you care about rolling *at least* a 1 or 5, and there's a chance you could roll both. So instead, we can calculate the probability of *not* rolling a 1 or a 5 and then subtract that from 1. - -With 2 dice, the probability of *not* rolling a 1 or a 5 is $\frac{4}{6}$ or $\frac{2}{3}$ for each die. To calculate the joint probability, we can multiply each die's probability: - -$$ -\begin{aligned} -1 - (\frac{2}{3} \times \frac{2}{3}) &= \\ -1 - \frac{4}{9} &= 0.5\overline{55} -\end{aligned} -$$ - -That means there's a 55% chance of rolling at least a 1 or a 5 when rolling 2 dice. This approach scales up to any number of dice—multiply that $\frac{2}{3}$ for each die included. For instance, here's 4 dice: - -$$ -\begin{aligned} -1 - (\frac{2}{3} \times \frac{2}{3} \times \frac{2}{3} \times \frac{2}{3}) &= \\ -1 - \frac{16}{81} &= 0.80 -\end{aligned} -$$ - -We can generalize this by using exponents, where $n$ is the number of dice you're rolling: - -$$ -1 - \frac{2^n}{3^n}\quad \text{ or }\quad 1 - \left(\frac{2}{3}\right)^n -$$ - -## Probabilty with math and computers - -Doing that math by hand gets tedious, so we can put it in an R function and have R do the math for us. - -```{r} -prob_1_or_5 <- function(n) { - 1 - (2/3)^n -} - -# 1 die -prob_1_or_5(1) - -# 5 dice -prob_1_or_5(5) - -# 6 dice -prob_1_or_5(6) -``` - -## Probability with computers only - -Instead of figuring out the math behind the probability of getting at least a 1 or a 5, we can simulate a bunch of dice rolls and brute force our way to the answer. Here's the general process: - -1. Roll 6 dice 100,000 times (or whatever number you want) -2. Count how many times a 1 or a 5 appears in a roll -3. Divide that count by 100,000. That's the probability. - -Probably the most intiuitive (though not necessarily computationally efficient) way to do with with R is to use [a *for loop*](https://r4ds.had.co.nz/iteration.html#for-loops). In R, a `for` loop will will repeat some chunk of repeatedly until some condition is met, and that condition is generally tracked with an index variable that is specific to the inside of the loop. For instance, this loop uses an index variable named `i`. It will set `i` to 1 the first time it runs the loop and then do whatever's inside (`print(...)` in this case). When it finishes the inside code, it'll bump `i` up to the next number (2 here) and run the inside code again, and again, and again until it reaches the end of the index range (4 here): - -```{r loop-example} -for (i in 1:4) { - print(paste("Loop number", i)) -} -``` - -To make this work with our dice simulation, we need to add one more component. We want to store the results of each loop run in a variable that we can use later. The most efficient way to do this is to create an empty variable first that has enough slots in it to contain the output, then add to that variable while going through the loop: - -```{r loop-example-slot} -# This is "logical" because it's only going to hold TRUE and FALSE values. If we -# wanted to put numbers in it, we'd need to use "double"; if we wanted to put -# text in it, we'd need to use "character" -output <- vector("logical", 4) - -for (i in 1:4) { - # Check if i is 3 and store the result in the ith slot - output[[i]] <- i == 3 -} - -output -``` - -Let's build a loop now that rolls 6 dice, checks for a 1 or a 5, and stores the result. We'll use 100,000 times for fun. - -```{r} -# Create empty variable with enough slots -has_1_or_5 <- vector("logical", 100000) - -# Roll a bunch of dice a bunch of times -for (i in 1:100000) { - # Roll some dice - rolled_dice <- sample(1:6, 6, replace = TRUE) - - # Check if there's a 1 or a 5 in there - did_it_happen <- 1 %in% rolled_dice | 5 %in% rolled_dice - - # Store the result - has_1_or_5[i] <- did_it_happen -} - -# Find the proportion of TRUEs -sum(has_1_or_5) / 100000 -``` - -Out of the 100,000 rolls, `r comma(sum(has_1_or_5))` of them had a 1 or a 5 in them, meaning that there's a `r percent(sum(has_1_or_5) / 100000, accuracy = 0.01)` chance of scoring *something* on an initial roll in Zilch. - -How does that compare to the official math? - -$$ -1 - \left( \frac{2}{3} \right)^6 -$$ - -```{r} -prob_1_or_5(6) -``` - -It's basically the same! But we found the answer without doing any actual probability math, which is neat. - -We can generalize this simulation a little more by not hardcoding some of the parameters. We can make it so both the number of dice to roll and the number of simulations are adjustable by sticking this in a function. For example, here's 4 dice 50,000 times: - -```{r} -simulate_zilch <- function(n_dice, n_sims) { - # Create empty variable with enough slots - has_1_or_5 <- vector("logical", n_sims) - - # Roll a bunch of dice a bunch of times - for (i in 1:n_sims) { - # Roll some dice - rolled_dice <- sample(1:6, n_dice, replace = TRUE) - - # Check if there's a 1 or a 5 in there - did_it_happen <- 1 %in% rolled_dice | 5 %in% rolled_dice - - # Store the result - has_1_or_5[i] <- did_it_happen - } - - # Find the proportion of TRUEs - sum(has_1_or_5) / n_sims -} - -simulate_zilch(n_dice = 4, n_sims = 50000) -``` - - -## Why even do this? - -But we know the probability equation for getting at least a 1 or a 5, so why go through the hassle of making the computer roll millions of dice? Because we're not actually calculating the true probability of scoring every valid scoring combination! - -In Zilch, you can score with at least a 1 or a 5, but you can also score with three-of-a-kind or three pairs or a 5-die straight. We could calculate the probability of rolling those and combine them with the probability of a 1 or a 5, but the formal equation will get really hairy and complicated. So instead, we can simulate. - -```{r} -simulate_zilch_full <- function(n_dice, n_sims) { - # Create empty variable with enough slots - did_something_score <- vector("logical", n_sims) - - # Roll a bunch of dice a bunch of times - for (i in 1:n_sims) { - # Roll some dice - rolled_dice <- sample(1:6, n_dice, replace = TRUE) - - # Check for 3 pairs separately since it's a complicated process - # If there are three different numbers... - if (length(table(rolled_dice)) == 3) { - # ...check if there are 3 pairs - three_pairs <- all(table(rolled_dice) == c(2, 2, 2)) - } else { - three_pairs <- FALSE - } - - # Check if there's a scoring combination in there - did_it_happen <- 1 %in% rolled_dice | # A 1 - 5 %in% rolled_dice | # A 5 - all(1:5 %in% rolled_dice) | # A 1-5 straight - all(2:6 %in% rolled_dice) | # A 2-6 straight - max(table(rolled_dice)) >= 3 | # At least 3 of one number - three_pairs # 3 pairs - - # Store the result - did_something_score[i] <- did_it_happen - } - - # Find the proportion of TRUEs - sum(did_something_score) / n_sims -} - -six_dice <- simulate_zilch_full(6, 50000) -``` - -Phew! Now that we account for every possible scoring combination, there's a `r percent(six_dice, accuracy = 0.01)` chance of scoring *something* when rolling 6 dice. That's really high! - -For fun, let's look at how that probability changes as the number of dice you roll decreases: - -```{r full-simluation, cache=TRUE} -library(tidyverse) - -# hoooo boy this is slow -number_of_dice <- tibble(n_dice = 6:1) %>% - mutate(prob = map_dbl(n_dice, ~simulate_zilch_full(., 50000))) -``` - -```{r show-results} -ggplot(number_of_dice, aes(x = fct_rev(factor(n_dice)), y = prob)) + - geom_col() + - scale_y_continuous(labels = percent_format(accuracy = 1)) + - labs(x = "Number of dice rolled", y = "Probability of scoring something", - caption = "Results over 50,000 simulations per count of dice") + - theme_minimal() -``` diff --git a/schedule.qmd b/schedule.qmd index 43e0b3af..48ea32a4 100644 --- a/schedule.qmd +++ b/schedule.qmd @@ -1,77 +1,138 @@ --- -title: "Schedule" +title: "Planificación" sidebar: false toc: false page-layout: full +execute: + freeze: auto --- -```{r packages-data, include=FALSE} -library(tidyverse) -library(knitr) -library(kableExtra) - -withr::with_dir(here::here(), { - schedule_nested <- targets::tar_read(schedule_page_data) - targets::tar_load(schedule_ical_file) -}) - -base_url <- yaml::read_yaml(here::here("_quarto.yml"))$website$`site-url` -ical_url_absolute <- paste0(base_url, "/", schedule_ical_file) -``` - -::: {.schedule-page} - -Here's your roadmap for the semester! - -- [**Content**](/content/) ({{< fa book-open-reader >}}): This page contains the readings, slides, and recorded lectures for the week. Read and watch these **before** our in-person class. - -- [**Example**](/example/) ({{< fa laptop-code >}}): This page contains fully annotated R code and other supplementary information that you can use as a reference for your assignments and project. This is only a reference page—you don't have to necessarily do anything here. Some sections also contain videos of me live coding the examples so you can see what it looks like to work with R in real time. This page will be *very* helpful as you work on your assignments. - -- [**Assignment**](/assignment/) ({{< fa pen-ruler >}}): This page contains the instructions for each assignment. Weekly reports are due by *noon* on the day of class. Other assignments are due by *11:59 PM* on the day they're listed. - -::: {.callout-tip} - -## Subscribe! - -You can subscribe to this calendar URL in Outlook, Google Calendar, or Apple Calendar: - -::: {.grid} - -::: {.g-col-12 .g-col-md-2} -

    {{< fa calendar-alt >}} Download

    -::: - -::: {.g-col-12 .g-col-md-10} -

    -::: - -::: - -::: - - -```{r build-table, include=FALSE} -show_table <- function(group_id) { - # Add a heading - cat(as.character(paste("\n\n###", schedule_nested$group[[group_id]], "\n\n"))) - - # Make the table - tbl <- schedule_nested$data[[group_id]] %>% - select(-subgroup) %>% - kbl(escape = FALSE, align = "rlccc", table.attr = 'class="schedule-table"') %>% - kable_styling() %>% - column_spec(1, width = "20%", extra_css = "padding-right: 20px;") %>% - column_spec(2, width = "50%") %>% - column_spec(3:5, width = "10%") %>% - pack_rows(index = schedule_nested$subgroup_index[[group_id]], - label_row_css = "border-bottom: 2px solid #000000;") - - cat(tbl) -} -``` - -```{r show-table, echo=FALSE, results="asis"} -walk(seq(1, nrow(schedule_nested)), ~show_table(.x)) +```{r setup, message=FALSE, warning=FALSE, include=FALSE} +library(dplyr) +library(tibble) +library(pander) ``` -::: +## Forma general de funcionamiento + +Este curso se compone de tres actividades principales: + +- [**Clases lectivas presenciales**](): donde en base a las lecturas correspondientes a esa semana se presentará un resumen de los contenidos principales y se resolverán dudas. + +- [**Guías prácticas**](): actividades con énfasis en el manejo de software para análisis y reporte de los resultados. Estas instancias serán conducidas guiadas por los apoyos docentes del curso. + +- [**Lecturas**](): los temas del curso se acompañan de lecturas, las que se encuentras a disposición en esta página. + +Las actividades semanales se resumen en el siguiente esquema: + +![](images/paste-1.png) + +En cuanto a la metodología, el curso comienza con clases lectivas y desarrollo autónomo de guías prácticas, y en la última unidad se realizará un trabajo grupal práctico de aplicación de los contenidos. + +
    + ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| ## Presentación | | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| **Agosto** | Clases | Prácticos | Lecturas | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 12 | [1. Presentación](/content/01-content.html) | | Leer detalladamente [programa del curso](/syllabus.html) | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +|
    |
    | | | +| | | | | +| ### UNIDAD 1: | ### Inferencia | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| **Agosto** | Clases | Prácticos | Lecturas | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 13 | [Datos, probabilidad y distribuciones muestrales](/content/02-content.html) | | \*[Pardo](/files/textos/Pardo.pdf) cap 2 Conceptos previos | +| | | | | +| | | | [Richtey](/files/textos/Ritchey.pdf) 1-21 : La imaginación estadística | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 19 | [Error estándar y distribución normal](/content/03-content.html) | | \*[Richtey](/files/textos/Ritchey.pdf) cap 6 | +| | | | | +| | | | [Pardo](/files/textos/Pardo.pdf) cap 6 Probabilidad y distribución normal | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 20 | [Intervalos de confianza](/content/04-content.html) | | \*[Richtey](/files/textos/Ritchey.pdf) cap 7 Probabilidad y distribuciones muestrales | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 26 | [Test de hipótesis](/content/05-content.html) | | \*[Richtey](/files/textos/Ritchey.pdf) cap 8: Intervalos de confianza | +| | | | | +| | | | \*[Richtey](/files/textos/Ritchey.pdf) cap 9: Prueba de hipótesis | +| | | | | +| | | | [Montoya: Los conceptos de especificación y falsación](https://ciencia.lasalle.edu.co/cgi/viewcontent.cgi?article=1063&context=lo) | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 27 | | Práctico: Inferencia 1 | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| **Septiembre** | | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 2 | Hipótesis para una y dos muestras | | \*[Richtey](/files/textos/Ritchey.pdf) cap 10: Hipótesis de una muestra | +| | | | | +| | | | \*[Richtey](/files/textos/Ritchey.pdf) cap 11: Hipótesis de dos muestras (prueba t) | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 3 | | Práctico Inferencia 2 | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 9 | Evaluación 1 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 10 | Evaluación 1 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| ### UNIDAD 2: | ### Bivariada | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 23 | Asociación y covarianza | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 24 | Inferencia en correlación de Pearson | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 30 | Correlación con ordinales | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 1 | | Práctico. Guía 1 Bivariada | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 7 | Matrices y tamaños de efecto en correlación | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 8 | Asociación con categóricas 1 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 14 | Asociación con categóricas 2 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 15 | | Práctico: Guía 2 Bivariada | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 21 | Evaluación 2 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 22 | Evaluación 2 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 28 | Semana receso | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 29 | Semana receso | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| ## Unidad 3: | ## Aplicación y reporte | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 4 | Seminario encuestas | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 5 | | Definición de grupos y temas | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 11 | Escritura de reportes de investigación | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 12 | | [Reportes dinámicos](/assignment/01-practico.html) y | | +| | | | | +| | | [Plantilla trabajo final](https://correlacional.netlify.app/assignment/09-practico) | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 18 | Visualización de datos 1 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 19 | | Visualización 1 | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 25 | Visualización de datos 2 | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 26 | | Visualización 2 y elaboración de poster | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Lunes 25 | Presentación de poster de investigación | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Martes 26 | Pruebas recuperativas | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ +| Viernes 29 | Entrega de trabajo final grupal | | | ++----------------------------------------------+-----------------------------------------------------------------------------+-------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------+ + +
    + +## Exámenes finales (escritos, en sala) + +Ver [requisitos de aprobación y eximición](https://correlacional.netlify.app/syllabus#requisitos-de-aprobaci%C3%B3n) + +- Examen de primera oportunidad: Lunes 9 Diciembre 10:15 + +- Examen de segunda oportunidad: Lunes 16 Diciembre 10:15 \ No newline at end of file diff --git a/slides/01-class.Rmd b/slides/01-class.Rmd deleted file mode 100644 index d06df0c9..00000000 --- a/slides/01-class.Rmd +++ /dev/null @@ -1,329 +0,0 @@ ---- -title: "Class 1: Evaluation and the causal revolution" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: middle - -.box-5.large[Join the Slack workspace] - -.center.large.sp-after[[andhs.co/slack](https://andhs.co/slack)] - -.box-5.large[Join the Posit Cloud workspace] - -.center.large[[andhs.co/posit](https://andhs.co/rstudio)] - ---- - -class: center middle main-title section-title-3 - -# In-person
    session 1 - -.class-info[ - -**January 12, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[Data science and program evaluation] - --- - -.box-6.medium.sp-after-half[Community building and getting help] - --- - -.box-1.medium.sp-after-half[Navigating the course] - --- - -.box-2.medium.sp-after-half[R time!] - ---- - -layout: false -name: ds-eval -class: center middle section-title section-title-5 animated fadeIn - -# Data science and
    program evaluation - ---- - -class: middle - -.box-5.huge[Who am I?] - ---- - -class: middle - -.box-5.huge[What is
    “data science”?] - ---- - -class: title title-5 - -# What is "data science"? - -.box-inv-5.medium.sp-after[Turning raw data into
    understanding, insight,
    and knowledge] - --- - -.pull-left-3[ -.box-5.medium[ Collect ] -] - -.pull-middle-3[ -.box-5.medium[ Analyze ] -] - -.pull-right-3[ -.box-5.medium[Communicate] -] - ---- - -class: title title-5 - -# What's the difference? - -.pull-left.center[ -
    - Data science Venn diagram -
    -] - -.pull-right[ -.box-inv-5.medium[Collect] - -.box-inv-5.medium[Analyze] - -.box-5.medium[Communicate] -] - ---- - -class: middle - -.box-5.large[It's *not* scary/complex
    machine learning,
    artificial intelligence,
    neural network stuff!] - ---- - -class: middle - -.center[ -
    - Data science according to R4DS -
    -] - ---- - -class: middle - -.center[ -
    - DS4PS life cycle -
    -] - ---- - -layout: false -name: community-help -class: center middle section-title section-title-6 animated fadeIn - -# Community building
    and getting help - ---- - -class: middle - -.box-6.large[What is R? What is Posit? Why R?] - ---- - -layout: true -class: title title-6 - ---- - -# Why is the R community special? - --- - -.box-inv-6.large[Intentionality] - --- - -.box-inv-6.large[\#rstats] - --- - -.box-inv-6.large[\#tidytuesday] - --- - -.box-inv-6.large[RStudio community forum] - -??? - -- -- -- - ---- - -# Creating our own class community - --- - -.box-inv-6.large.sp-after-half[Work and ask questions in public] - --- - -.box-inv-6.large.sp-after-half[Be supportive] - --- - -.box-inv-6.large[**Don't suffer in silence**] - ---- - -# Slack guidelines - --- - -.box-inv-6.large[Ask questions in #help] - -.box-6.small[Avoid DMs with me!] - --- - -.box-inv-6.large.sp-before[Don't be shy or scared!] - --- - -.box-inv-6.large.sp-before[Respond in threads] - ---- - -layout: false -class: middle - -.box-6.huge[30 minute rule] - - ---- - -class: middle - -.box-6.huge[How to
    ask for help] - -.center[[Guidelines](https://evalsp23.classes.andrewheiss.com/news/2023-01-12_getting-help.html)] - ---- - -layout: false -name: navigating -class: center middle section-title section-title-1 animated fadeIn - -# Navigating the course - ---- - -class: title title-1 - -# Navigating the course - --- - -.pull-left[ -.box-inv-1.less-medium[What's on iCollege?] - -- Assignment submission -- Grades -- Exams -- Answer keys -- Copyrighted materials -] - --- - -.pull-right[ -.box-inv-1.less-medium[What's on the website?] - -- Everything else! -- Forever! -] - -??? - -- multiple links to assignments and content -- news -- links to Slack and RStudio Cloud -- zip files -- slides - ---- - -layout: false -name: r-time -class: center middle section-title section-title-2 animated fadeIn - -# R time! - ---- - -class: title title-2 - -# Intro to R labs - -.box-inv-2.less-medium[Lab 1: Markdown and universal writing] - -.box-inv-2.less-medium[Lab 2: Getting started with R and RStudio] - -.box-inv-2.less-medium[Lab 3: Data basics] - -.box-inv-2.less-medium[Lab 4: Visualize data with ggplot2] - -.box-inv-2.less-medium[Lab 5: Transform data with dplyr] diff --git a/slides/01-class_01_markdown-writing.Rmd b/slides/01-class_01_markdown-writing.Rmd deleted file mode 100644 index b8c31f98..00000000 --- a/slides/01-class_01_markdown-writing.Rmd +++ /dev/null @@ -1,550 +0,0 @@ ---- -title: "Markdown and universal writing" -author: "Andrew Heiss" -date: "August 23, 2021" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -xaringanExtra::use_share_again() -``` - -class: center middle main-title section-title-4 - -# Markdown and
    universal writing - ---- - -class: middle - -.box-4.huge[Writing up research is a
    complicated, messy process!] - ---- - -layout: true -class: title title-4 - ---- - -# Itty bitty pieces - --- - -.center.float-left[.box-inv-4[Data] .box-inv-4[Statistical results]] - --- - -.center.float-left[.box-inv-4[Fieldwork] .box-inv-4[Interviews] .box-inv-4[Analysis]] - --- - -.center.float-left[.box-inv-4[Figures] .box-inv-4[Images] .box-inv-4[Tables]] - --- - -.box-inv-4[Citations] - --- - -.box-4.sp-after[Your actual words] - --- - -.box-inv-4.medium[Each of these comes from a different place!] - -??? - -Spending a full day of writing in the mountains or the beach with a notebook sounds cool, but it's really infeasible with any sort of academic writing - too much going on! - ---- - -# Two general approaches for this mess - --- - -.box-inv-4.medium[The **Office** model] - -.box-4.sp-after[Put everything in one document] - --- - -.box-inv-4.medium.sp-before[The **Engineering** model] - -.box-4[Embrace the bittiness and compile it all at the end] - -??? - -https://plain-text.co/index.html#introduction - ---- - -# The Office model - -.pull-left[ -.box-4[Everything lives in
    one `.docx` file] - -.box-inv-4.small[Drag images in] - -.box-inv-4.small[Copy/paste stats from R or Stata] - -.box-inv-4.small[Connect Word to Zotero or Endnote] - -.box-inv-4.small[Track versions with filenames: `ms.docx`, `ms2_final.docx`, `ms2_final_final.docx`] - -] - -.pull-right[ - -.box-4[Final output = `.docx` file] - -
    - The Office model -
    - -] - ---- - -# The Engineering model - -.pull-left[ -.box-4[Everything lives separately and is combined in the end] - -.box-inv-4.small[Type text in a plain text document] - -.box-inv-4.small[Import images automatically] - -.box-inv-4.small[Import stats automatically from
    R scripts (`.R` or `.Rmd`) or `.do` files] - -.box-inv-4.small[Store citations in reference manager] - -.box-inv-4.small[Track versions with git] -] - -.pull-right[ - -.box-4[Final output = whatever you want (Word, PDF, HTML)] - -.center[ -
    - The Engineering model -
    - -
    - Markdown outputs -
    -] -] - ---- - -# No one right way! - --- - -.box-inv-4[The Office model can be clunky and you'll
    inevitably forget to update figures, tables, results, etc.] - --- - -.box-inv-4.small[**BUT**] - --- - -.box-4.medium[The whole world runs on Word] - --- - -.box-inv-4.small[Even if you're a strict Engineering person,
    you'll still collaborate with Office people!] - --- - -.box-inv-4.small[Coauthors will work in Word, advisers will give comments
    and track changes in Word, journals will demand final Word files] - ---- - -# Reproducibility - --- - -.box-inv-4[The Engineering model is definitely more fiddly] - --- - -.box-inv-4.small[**BUT**] - --- - -.box-4.medium[There's less cognitive load!] - --- - -.box-inv-4[No need to copy/paste new results,
    add updated figures, reformat citation, etc.] - --- - -.box-inv-4[There's a record of everything you do!] - --- - -.box-inv-4[Your findings are reproducible by anyone (and yourself!)] - ---- - -# Austerity and Excel - -.pull-left[ - -
    - Reinhart and Rogoff abstract -
    - -.box-inv-4[Debt:GDP ratio
    90%+ → −0.1% growth] - -] - --- - -.pull-right.center[ - -
    - The Path to Prosperity 2013 house budget -
    Paul Ryan's 2013 House budget resolution
    -
    - -] - -??? - -[2013 House Budget Resolution](https://republicans-budget.house.gov/uploadedfiles/pathtoprosperity2013.pdf) - ---- - -# Austerity and Excel - -.pull-left.center[ - -
    - Thomas Herndon -
    Thomas Herndon
    -
    - -] - --- - -.pull-right.center[ - -
    - Paul Krugman on Excel and reproducibility -
    From Paul Krugman, "The Excel Depression"
    -
    - -] - -??? - -[Paul Krugman on the reproducibility crisis](https://www.nytimes.com/2013/04/19/opinion/krugman-the-excel-depression.html) - ---- - -# Austerity and Excel - -.center[ -
    - Reinhart Rogoff Table 1 -
    -] - --- - -.box-inv-4[Debt:GDP ratio = 90%+ → 2.2% growth (!!)] - ---- - -# Genes and Excel - -.pull-left-3[ -.box-inv-4[Septin 2] -] - -.pull-middle-3[ -.box-inv-4[Membrane-Associated Ring Finger (C3HC4) 1] -] - -.pull-right-3[ -.box-inv-4[2310009E13] -] - --- - -.center.sp-after[ -
    - Numbers in Excel -
    -] - --- - -.center[ -.box-4[20% of genetics papers between 2005–2015 (!!!)] -] - ---- - -# General guidelines - -.box-inv-4.medium[Don't touch the raw data] - -.box-4[If you do, explain what you did!] - --- - -.box-inv-4.medium[Use self-documenting, reproducible code] - -.box-4[The whole point of this Engineering model! (R Markdown!)] - --- - -.box-inv-4.medium[Use open formats] - -.box-4[Use .csv, not .xlsx] - ---- - -# Engineering model in real life - -.pull-left.center[ - -
    - Airbnb's data science tools -
    Airbnb, ggplot, and rmarkdown
    -
    - -] - --- - -.pull-right.center[ - -  - -
    - UK Statistics pipeline -
    - -
    - UK Statistics pipeline, short -
    The UK's reproducible analysis pipeline
    -
    - -] - -??? - -https://peerj.com/preprints/3182.pdf + https://gdsdata.blog.gov.uk/2017/03/27/reproducible-analytical-pipeline/ - ---- - -# Overview of the process - -.center[ -
    - Simplified process -
    -] - -??? - -https://plain-text.co/pull-it-together.html#pull-it-together - ---- - -# Can get more complicated! - -.center[ -
    - Rmd process -
    -] - -??? - -https://plain-text.co/pull-it-together.html#pull-it-together - ---- - -# Universal writing - -$$ -\LaTeX -$$ - --- - -.box-inv-4[You might know LaTeX—it's a scientific typesetting language] - --- - -.box-inv-4[Great! It's a way to do the Engineering model] - --- - -.box-inv-4.small[Run `latexmk` from the terminal or click the "compile" button in your TeX editor and you'll stitch together all your separate writing, tables, images, and citations] - --- - -.box-4.sp-before[HOWEVER, the world runs on `.docx`] - --- - -.box-4.small[There are ways to convert from `.tex` to `.docx`, but they're a pain] - ---- - -# Three syntaxes - -.box-inv-4[If you want to be able to write in LaTeX, but also have HTML for a blog post later, and also have a Word file for a journal later, you have to learn (and write with!) all these!] - --- - -.small[ -```{r syntax-table, echo=FALSE} -tribble( - ~Format, ~LaTeX, ~HTML, ~Word, - "Bold", "\\textbf{Something}", "Something", "Click on stuff", - "Heading 2", "\\subsection{Something}", "

    Something

    ", "Click on stuff", - "Link", "\\href{google.com}{Link}", 'Link', "Click on stuff", - "Citation", "\\cite{Heiss2020}", "lolz", "lolz", - "Math", "y = \\beta_0 + \\beta_1 x_1", "lolz", "Equation editor" -) %>% - kbl() %>% - column_spec(1, width = "13%") %>% - column_spec(2, width = "30%") %>% - column_spec(3, width = "37%") %>% - column_spec(4, width = "20%") -``` -] - -??? - - ---- - -# Markdown + pandoc - -.box-inv-4.medium[Solution: Use a universal syntax] - --- - -.box-4[Write with one simplified syntax and
    convert from that to whatever output you want.] - --- - -.pull-left[ -.smaller[ -```{r syntax-table-md, echo=FALSE} -tribble( - ~Format, ~Markdown, - "Bold", "**Something**", - "Heading 2", "## Something", - "Link text", "[Link](google.com)", - "Citation", "@Heiss2020", - "Math", "y = \\beta_0 + \\beta_1 x_1", -) %>% - kbl() -``` -] -] - --- - -.pull-right[ -
    - Markdown to everything -
    -] - ---- - -# pandoc - -.box-inv-4[The magic glue that makes this all work] - --- - -```sh -# To HTML -pandoc manuscript.md -o manuscript.html - -# To Word -pandoc manuscript.md -o manuscript.docx - -# To PDF (through LaTeX) -pandoc manuscript.md -o manuscript.pdf -``` - ---- - -# Overview again - -.center[ -
    - Simplified process -
    -] - ---- - -# The Universal Markdown-based model - --- - -.box-inv-4.medium[Text editor] - --- - -.box-inv-4.medium[(R) Markdown] - --- - -.box-inv-4.medium[`pandoc`] - --- - -.box-inv-4[(Not in this class: Automation with Makefiles)] - --- - -.box-inv-4[(Not in this class: Version control with git/GitHub)] - ---- - -layout: false -class: middle - -.box-4.huge[Let's play with
    Markdown and pandoc!] diff --git a/slides/01-class_02-getting-started.Rmd b/slides/01-class_02-getting-started.Rmd deleted file mode 100644 index b40c78e3..00000000 --- a/slides/01-class_02-getting-started.Rmd +++ /dev/null @@ -1,517 +0,0 @@ ---- -title: "Getting started" -author: "Andrew Heiss" -date: "August 23, 2021" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css"] - seal: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false - # beforeInit: "libs/offline-mathjax.js" -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(countdown) -library(flair) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -xaringanExtra::use_share_again() -``` - -class: center middle main-title section-title-5 - -# Getting started with
    R and RStudio - -.class-info[ -
    - RStudio -
    -] - ---- - -class: middle - -.pull-left.center[ -
    - R logo -
    - -.box-inv-5[The engine] -] - -.pull-right.center[ -
    - RStudio logo -
    - -.box-inv-5[The dashboard] -] - ---- - -class: middle section-title-inv-5 - -.box-5.large[A tour of RStudio] - ---- - -
    - RStudio -
    - ---- - -class: title title-5 - -# Console - -.pull-left-wide[ -
    - RStudio console -
    -] - -.pull-right-narrow[ -.box-inv-5[R is awaiting your instructions] - -.box-inv-5[Type code here, press enter, and R will run it] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.pull-left-wide[ -
    - RStudio console -
    -] - -.pull-right-narrow[ -.box-5[Type `2 + 2` in the console] - -.box-5[Press enter] -] - ---- - -```{r} -2 + 2 -``` - -.box-5[This is ephemeral though.
    If you want to run this again, you'll have to type it again.] - -.box-5[Store R code in a document instead] - ---- - -class: title title-5 - -# Files pane - -.pull-left-wide[ -
    - RStudio files panel -
    -] - -.pull-right-narrow[ -.box-inv-5[All the files in your current working directory] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.pull-left-wide[ -
    - RStudio files pane -
    -] - -.pull-right-narrow[ -.box-5[Find `01_getting-started.Rmd`] - -.box-5[Click on its name to open the file] -] - ---- - -class: title title-5 - -# Source pane - -.pull-left-wide.center[ -
    - RStudio source panel -
    -] - -.pull-right-narrow[ -.box-inv-5[Documents
    open here] -] - ---- - -class: title title-5 - -# R Markdown - -.pull-left.center[ -
    - RStudio R Markdown document -
    -] - -.pull-right[ -.box-inv-5[Document format that
    combines text and code] - -.box-inv-5[Acts like a notebook
    for your analysis] -] - ---- - -class: title title-5 - -# R Markdown - -.pull-left[ -
    - RStudio R Markdown text -
    -] - -.pull-right[ -.box-inv-5.medium[Text] -] - ---- - -class: title title-5 - -# R Markdown - -.pull-left[ -
    - RStudio R Markdown code -
    -] - -.pull-right[ -.box-inv-5.medium[Text] - -.box-inv-5.medium[Code] -] - ---- - -class: title title-5 - -# R Markdown - -.pull-left[ -
    - RStudio R Markdown output -
    -] - -.pull-right[ -.box-inv-5.medium[Text] - -.box-inv-5.medium[Code] - -.box-inv-5.medium[Output] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.pull-left[ -
    - RStudio R Markdown code -
    -] - -.pull-right[ -.box-5[Read the instructions] - -.box-5[Run the code chunk by
    clicking the play button] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.box-5[Add a new chunk] - -.box-5[Put `2 + 2` in the chunk and run it] - ---- - -class: title title-5 - -# Knitting - -.box-inv-5["Knit" an R Markdown document into a standalone sharable file] - -.center[ -
    - RStudio knit button -
    -] - ---- - -class: title title-5 - -# R Markdown - -.box-inv-5.sp-after[The best way to combine R code and narrative] - -.box-5[We'll use it throughout the class:] - -.box-5[I'll provide starter code] - -.box-5[You'll complete "Your turns"] - -.box-5[In the end, you'll have an annotated record for yourself] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.box-5[Spot the difference:] - -```{r eval=FALSE} -filter(mtcars, cyl == 4) -``` - -```{r eval=FALSE} -four_cyls <- filter(mtcars, cyl == 4) -``` - -.box-5[Find these chunks in the notebook and run them.
    What's different about what happens?] - ---- - -class: title title-5 - -# Assignment - -.box-inv-5[`<-` assigns the output from the righthand side to a variable with the name on the lefthand side] - -```{r eval=FALSE} -four_cyls <- filter(mtcars, cyl == 4) -``` - ---- - -class: title title-5 - -# Environment pane - -.pull-left[ -
    - RStudio environment pane -
    -] - -.pull-right[ -.box-5[List of all the
    variables you've created] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.box-5[Find `four_cyls` in the environment pane.
    Click on the name `four_cyls`] - -.box-5[What happens?] - ---- - -class: title title-5 - -# Viewer - -.pull-left[ -
    - RStudio viewer -
    -] - -.pull-right[ -.box-5[Clicking on an object in the environment panel opens it an interactive viewer tab] -] - ---- - -class: title title-5 - -# Functions - -.center[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -four_cyls <- filter(mtcars, cyl == 4) -', eval = FALSE) %>% - flair("filter", background = "#FFDFD1", before = "", after = "") -``` -] - -.box-inv-5[Functions do things] - --- - -.box-inv-5[Functions take arguments, output results] - --- - -.box-inv-5[If you want to keep the output, assign it to a variable] - ---- - -class: title title-5 - -# Help - -.box-inv-5[To look up the help page for an R function,
    type this in the console:] - -.center[ -```{r eval=FALSE} -?function_name -``` -] - -.box-5.small[(Or google it!)] - ---- - -class: title title-5 - -# Help pane - -.pull-left[ -
    - RStudio help pane -
    -] - -.pull-right[ -.box-5[These help pages prove details about the arguments you can supply a function] - -.box-5[Often full of examples
    at the bottom] -] - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.box-5[Look at the help page for `seq`] - -.box-5[Add a chunk that uses `seq()` to create a
    list of numbers from 5 to 100, spaced by 5
    .small[(so 5, 10, 15, 20, …)]] - -```{r echo=FALSE} -countdown(minutes = 2, play_sound = TRUE, font_size = "1.5em") -``` - ---- - -```{r} -seq(from = 5, to = 100, by = 5) -``` - - ---- - -class: title title-5 - -# Common syntax problem #1 - -.box-inv-5[Missing closing parentheses or quotes] - -```{r eval=FALSE} -mean(mtcars -``` - -```{r eval=FALSE} -"Oops this is wrong -``` - ---- - -class: title title-5 - -# Common syntax problem #2 - -.box-inv-5[Surrounding something in quotes when it should be (or vice versa)] - -```{r error=TRUE, warning=TRUE, message=TRUE} -mean("mtcars") -``` - ---- - -class: title title-5 section-title-inv-5 - -# Your turn - -.box-5[There are three chunks under "Syntax gone wrong"] - -.box-5[Run each, read the error message, and try to fix the syntax] - ---- - -class: title title-5 - -# Cheatsheets - -.box-inv-5[Go to Help > Cheatsheets to find quick
    reference guides to different packages] - -.center[ -
    - RStudio cheatsheet -
    -] - ---- - -class: title title-5 - -# Next up - -.box-inv-5.medium[Data basics] diff --git a/slides/01-class_03_data-basics.Rmd b/slides/01-class_03_data-basics.Rmd deleted file mode 100644 index b367ad2e..00000000 --- a/slides/01-class_03_data-basics.Rmd +++ /dev/null @@ -1,346 +0,0 @@ ---- -title: "Data basics" -author: "Andrew Heiss" -date: "August 23, 2021" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css"] - seal: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false - # beforeInit: "libs/offline-mathjax.js" -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(gapminder) -library(countdown) -library(flair) -library(knitr) -library(kableExtra) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-6 - -# Data basics - ---- - -class: middle section-title-inv-6 - -.box-6.large[Packages] - ---- - -
    - R packages, base -
    - ---- - -
    - R packages, other -
    - ---- - -class: title title-6 - -# Using packages - -.pull-left[ -```{r eval=FALSE} -install.packages("name") -``` - -.box-inv-6[Downloads files
    to your computer] - -.box-inv-6[Do this once per computer] -] - --- - -.pull-right[ -```{r eval=FALSE} -library("name") -``` - -.box-inv-6[Loads the package] - -.box-inv-6[Do this once per R session] -] ---- - -class: title title-6 - -# The tidyverse - -.pull-left[ -.box-inv-6.small["The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures."] - -.box-inv-6[… the tidyverse makes data science faster, easier and more fun…] -] - -.pull-right[ -
    - The tidyverse -
    -] - ---- - -class: title title-6 - -# The tidyverse - -
    - tidyverse and language -
    - -??? - -From "Master the Tidyverse" by RStudio - ---- - -class: title title-6 - -# The tidyverse package - -.center[ -```{r eval=FALSE} -library(tidyverse) -``` -] - -.box-inv-6[The tidyverse package is a shortcut for
    installing and loading all the key tidyverse packages] - ---- - -.pull-left[ -```{r eval=FALSE} -install.packages("tidyverse") -``` - -.tiny[ -```{r eval=FALSE} -install.packages("ggplot2") -install.packages("dplyr") -install.packages("tidyr") -install.packages("readr") -install.packages("purrr") -install.packages("tibble") -install.packages("stringr") -install.packages("forcats") -install.packages("lubridate") -install.packages("hms") -install.packages("DBI") -install.packages("haven") -install.packages("httr") -install.packages("jsonlite") -install.packages("readxl") -install.packages("rvest") -install.packages("xml2") -install.packages("modelr") -install.packages("broom") -``` -] -] - --- - -.pull-right[ -```{r eval=FALSE} -library("tidyverse") -``` - -.tiny[ -```{r eval=FALSE} -library("ggplot2") -library("dplyr") -library("tidyr") -library("readr") -library("purrr") -library("tibble") -library("stringr") -library("forcats") -``` -] -] - ---- - -class: middle section-title-inv-6 - -.box-6.large[Rectangular data] - ---- - -class: title title-6 - -# Data frames and tibbles - -.box-inv-6.medium[Data frames are the most common kind of data objects; used for rectangular data (like spreadsheets)] - --- - -.box-6[Data frames: R's native data object] - --- - -.box-6[Tibbles (`tbl`): a fancier enhanced kind of data frame] - --- - -.box-6.small[(You really won't notice a difference today)] - ---- - -class: middle section-title-inv-6 - -.box-6.large[Vectors and lists] - ---- - -class: title title-6 - -# Vectors - -.box-inv-6[Vectors are a list of values of the same time
    (all text, or all numbers, etc.)] - -.box-inv-6[Make them with `c()`:] - -```{r eval=FALSE} -c(1, 4, 2, 5, 7) -``` - --- - -.box-inv-6[You'll usually want to assign them to something:] - -```{r eval=FALSE} -neat_numbers <- c(1, 4, 2, 5, 7) -``` - ---- - -class: title title-6 - -# Basic data types - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    IntegerWhole numbersc(1, 2, 3, 4)
    DoubleNumbersc(1, 2.4, 3.14, 4)
    CharacterTextc("1", "blue", "fun", "monster")
    LogicalTrue or falsec(TRUE, FALSE, TRUE, FALSE)
    FactorCategoryc("Strongly disagree", "Agree", "Neutral")
    - ---- - -class: middle section-title-inv-6 - -.box-6.large[Importing data] - ---- - -class: title title-6 - -# Packages for importing data - - - - - - - - - - - - - - - - - -
    readrWork with plain text datamy_data <- read_csv("file.csv")
    readxlWork with Excel filesmy_data <- read_excel("file.xlsx")
    havenWork with Stata, SPSS, and SAS datamy_data <- read_stata("file.dta")
    - ---- - -class: title title-6 - -# Other types of data - - - - - - - - - - - - - - - - - - - - - - - - - - -
    PackageType of data
    jsonliteJSON data
    xml2XML data
    httrWeb APIs
    rvestWeb pages (web scraping)
    DBIDatabases (SQL)
    - ---- - -class: title title-6 - -# Next up - -.box-inv-6.medium[Data visualization] diff --git a/slides/01-class_04_visualize-data.Rmd b/slides/01-class_04_visualize-data.Rmd deleted file mode 100644 index ad8ac0b4..00000000 --- a/slides/01-class_04_visualize-data.Rmd +++ /dev/null @@ -1,1019 +0,0 @@ ---- -title: "Transform data with dplyr" -author: "Andrew Heiss" -date: "August 23, 2021" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css"] - seal: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false - # beforeInit: "libs/offline-mathjax.js" -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggthemes) -library(gapminder) -library(countdown) -library(flair) -library(knitr) -library(kableExtra) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-1 - -# Visualize data
    with ggplot2 - -.class-info[ -
    - ggplot -
    -] - ---- - -class: title title-1 - -# Cars and displacement - -.box-inv-1.medium[What is the relationship between a car's
    engine weight (displacement) and its mileage (miles per gallon)?] - ---- - -class: title title-1 section-title-inv-1 - -# Your turn #1 - -.box-1[Run this code in your Rmd file to make a graph] - -.box-1[Pay attention to spelling, capitalization, and parentheses!] - -```{r eval=FALSE} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) -``` - -```{r echo=FALSE} -countdown(minutes = 2, play_sound = TRUE, font_size = "1.5em") -``` - ---- - -```{r fig.width=6, fig.height=3.5, out.width="60%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) -``` - ---- - -class: bg-full bg-y-75 -background-image: url("img/01-class/03/napoleon-retreat.jpg") - -??? - -Source: [Wikipedia](https://en.wikipedia.org/wiki/File:National_Museum_in_Poznan_-_Przej%C5%9Bcie_przez_Berezyn%C4%99.JPG) - ---- - -layout: true -class: title title-1 - ---- - -# Long distance! - -.center[ -
    - Moscow to Vilnius -
    Moscow to Vilnius
    -
    -] - ---- - -# Very cold! - -```{r minard-temps, echo=FALSE, warning=FALSE, fig.width=12, fig.height=6.5} -# https://github.com/vincentarelbundock/Rdatasets/tree/master/csv/HistData -minard_temps <- read_csv("data/Minard.temp.csv") %>% - uncount(days) %>% - mutate(day_index = 1:n()) - -ggplot(minard_temps, aes(x = day_index, y = temp)) + - geom_line(color = "#4472C4", size = 3) + - labs(x = "Days since retreat from Moscow", y = "°C") + - theme_gdocs(base_size = 30) -``` - ---- - -# Lots of people died! - -```{r minard-deaths, echo=FALSE, fig.height=6.5, fig.width=6.5} -minard_deaths <- tribble( - ~status, ~count, - "Died", 422000, - "Survived", 10000 -) - -ggplot(minard_deaths, aes(x = "", y = count, fill = status)) + - geom_col() + - coord_polar(theta = "y") + - scale_fill_manual(values = c("#FFC000", "#4472C4"), name = NULL) + - labs(title = "Napoleon’s Grande Armée") + - theme_void(base_family = "sans", base_size = 30) + - theme(legend.position = "bottom") -``` - ---- - -layout: false -class: bg-full -background-image: url("img/01-class/03/minard.png") - -??? - -Source: [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/2/29/Minard.png) - ---- - -layout: true -class: title title-1 - ---- - -# Mapping data to aesthetics - -.pull-left.center[ - -
    - Grammar of Graphics book -
    - -] - -.pull-right[ - -.box-inv-1.medium[Aesthetic] - -.box-1[Visual property of a graph] - -.box-1.sp-after[Position, shape, color, etc.] - -.box-inv-1.medium[Data] - -.box-1[A column in a dataset] - -] - ---- - -# Mapping data to aesthetics - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    DataAestheticGraphic/Geometry
    LongitudePosition (x-axis) Point
    LatitudePosition (y-axis)Point
    Army sizeSizePath
    Army direction ColorPath
    DatePosition (x-axis)Line + text
    TemperaturePosition (y-axis)Line + text
    - ---- - -# Mapping data to aesthetics - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Dataaes()geom
    Longitudexgeom_point()
    Latitudeygeom_point()
    Army sizesizegeom_path()
    Army direction color geom_path()
    Datexgeom_line() + geom_text()
    Temperatureygeom_line() + geom_text()
    - ---- - -# `ggplot()` template - -```{r show-ggplot-template, echo=FALSE, tidy=FALSE} -decorate(' -ggplot(data = DATA) + - GEOM_FUNCTION(mapping = aes(AESTHETIC MAPPINGS)) -', eval = FALSE) %>% - flair("DATA", background = "#CBB5FF", before = "", after = "") %>% - flair("GEOM_FUNCTION", background = "#FFDFD1", before = "", after = "") %>% - flair("AESTHETIC MAPPINGS", background = "#FFD0CF", before = "", after = "") -``` - --- - -```{r ggplot-template-example, echo=FALSE} -decorate(' -ggplot(data = troops) + - geom_path(mapping = aes(x = longitude, - y = latitude, - color = direction, - size = survivors)) -', eval = FALSE) %>% - flair("troops", background = "#CBB5FF", before = "", after = "") %>% - flair("geom_path", background = "#FFDFD1", before = "", after = "") %>% - flair_rx("x = longitude|y = latitude|color = direction|size = survivors", - background = "#FFD0CF", before = "", after = "") -``` - ---- - -layout: false - -```{r minard-troops, echo=FALSE, warning=FALSE} -# https://github.com/vincentarelbundock/Rdatasets/tree/master/csv/HistData -troops <- read_csv("data/Minard.troops.csv") %>% - select(longitude = long, latitude = lat, direction, survivors) -``` - -.box-1[This is a dataset named `troops`:] - -.small[ - -```{r head-troops, echo=FALSE} -troops %>% - slice(1:2) %>% - mutate_all(as.character) %>% - bind_rows(tibble(longitude = "…", latitude = "…", direction = "…", survivors = "…")) %>% - knitr::kable(format = "html") -``` - -] - --- - -```{r ggplot-template-example1, echo=FALSE} -decorate(' -ggplot(data = troops) + - geom_path(mapping = aes(x = longitude, - y = latitude, - color = direction, - size = survivors)) -', eval = FALSE) %>% - flair("troops", background = "#CBB5FF", before = "", after = "") %>% - flair("geom_path", background = "#FFDFD1", before = "", after = "") %>% - flair_rx("x = longitude|y = latitude|color = direction|size = survivors", - background = "#FFD0CF", before = "", after = "") -``` - ---- - -```{r show-basic-minard, echo=FALSE, fig.width=16, fig.height=8, out.width="100%"} -ggplot(data = troops, - mapping = aes(x = longitude, - y = latitude, - color = direction, - size = survivors)) + - geom_path(lineend = "round", linejoin = "mitre") + - scale_size_continuous(range = c(1, 20), - labels = scales::comma) + - theme_gray(base_size = 20) -``` - ---- - -```{r fig.width=6, fig.height=3.5, out.width="60%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) -``` - ---- - -layout: true -class: title title-1 - ---- - -# Heavy cars with better mileage? - -```{r echo=FALSE, fig.width=6, fig.height=3.5, out.width="60%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) -``` - ---- - -# Aesthetics - -.pull-left-3[ - -.box-inv-1.small[`color` (discrete)] - -```{r aes-color-discrete, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -eg <- tribble( - ~x, ~y, ~size, ~x1, - "A", 1, 5, 1, - "B", 1, 10, 2, - "C", 1, 15, 3 -) - -# Color, discrete -ggplot(eg, aes(x = x, y = y, color = x)) + - geom_point(size = 30) + - guides(color = FALSE) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` - -.box-inv-1.small[`color` (continuous)] - -```{r aes-color-continuous, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -# Color, continuous -ggplot(eg, aes(x = x1, y = y, color = x1)) + - geom_point(size = 30) + - guides(color = FALSE) + - coord_cartesian(xlim = c(0.5, 3.5)) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` -] - -.pull-middle-3[ - -.box-inv-1.small[`size`] - -```{r aes-size, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -# Size -ggplot(eg, aes(x = x, y = y, size = x)) + - geom_point() + - scale_size_discrete(range = c(2, 30)) + - guides(size = FALSE) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` - -.box-inv-1.small[`fill`] - -```{r aes-fill, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -# Fill -ggplot(eg, aes(x = x, y = y, fill = x)) + - geom_point(size = 30, pch = 21, stroke = 5) + - guides(fill = FALSE) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` -] - -.pull-right-3[ - -.box-inv-1.small[`shape`] - -```{r aes-shape, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -# Shape -ggplot(eg, aes(x = x, y = y, shape = x)) + - geom_point(size = 30) + - guides(shape = FALSE) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` - -.box-inv-1.small[`alpha`] - -```{r aes-alpha, echo=FALSE, fig.dim=c(4, 2), out.width="100%"} -# Alpha -ggplot(eg, aes(x = x, y = y, alpha = x)) + - geom_point(size = 30) + - guides(alpha = FALSE) + - theme(axis.text.y = element_blank(), - axis.ticks = element_blank()) -``` -] - ---- - -# Mapping columns to aesthetics - -.small[ -```{r eval=FALSE} -ggplot(mpg) + geom_point(aes(x = displ, y = hwy, color = class)) -ggplot(mpg) + geom_point(aes(x = displ, y = hwy, size = class)) -ggplot(mpg) + geom_point(aes(x = displ, y = hwy, shape = class)) -ggplot(mpg) + geom_point(aes(x = displ, y = hwy, alpha = class)) -``` -] - ---- - -layout: false - -```{r fig.width=6, fig.height=3.5, out.width="60%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy, color = class)) -``` - ---- - -class: title title-1 section-title-inv-1 - -# Your turn #2 - -.box-1[Add color, size, alpha, and shape aesthetics to your graph.] - -.box-1[Experiment!] - -.box-1[Do different things happen when you map aesthetics to discrete and continuous variables?] - -.box-1[What happens when you use more than one aesthetic?] - ---- - -class: title title-1 - -# How would you make this plot? - -```{r echo=FALSE, fig.width=6, fig.height=3.5, out.width="70%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy), color = "blue") -``` - ---- - -.left-code[ -```{r color-aes-example, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = displ, y = hwy, - color = class)) -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("color-aes-example", "png")`) -] - ---- - -.left-code[ -```{r color-set-example, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = displ, y = hwy), - color = "blue") -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("color-set-example", "png")`) -] - ---- - -.pull-left[ -.small[ -```{r tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = displ, y = hwy, - color = "blue")) -``` -] -] - -.pull-right[ -.small[ -```{r tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = displ, y = hwy), - color = "blue") -``` -] -] - ---- - -layout: true -class: title title-1 - ---- - -# What's the same? What's different? - -.pull-left[ -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = displ, y = hwy)) -``` -] - -.pull-right[ -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.75), out.width="100%"} -ggplot(mpg) + - geom_smooth(aes(x = displ, y = hwy)) -``` -] - ---- - -# Geoms - -```{r show-ggplot-template1, echo=FALSE, tidy=FALSE} -decorate(' -ggplot(data = DATA) + - GEOM_FUNCTION(mapping = aes(AESTHETIC MAPPINGS)) -', eval = FALSE) %>% - flair("DATA", background = "#CBB5FF", before = "", after = "") %>% - flair("GEOM_FUNCTION", background = "#FFDFD1", before = "", after = "") %>% - flair("AESTHETIC MAPPINGS", background = "#FFD0CF", before = "", after = "") -``` - ---- - -# Possible geoms - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    Example geomWhat it makes
    geom_col()Bar charts
    geom_text()Text
    geom_point()Points
    geom_boxplot() Boxplots
    geom_sf()Maps
    - ---- - -# Possible geoms - -.box-inv-1[There are dozens of possible geoms!] - -.box-1[See [the **ggplot2** documentation](https://ggplot2.tidyverse.org/reference/index.html#section-layer-geoms) for
    complete examples of all the different geom layers] - -.box-1[Also see the ggplot cheatsheet] - ---- - -layout: false -class: title title-1 section-title-inv-1 - -# Your turn #3 - -.box-1[Replace this scatterplot with boxplots. Use the cheatsheet.] - -.pull-left[ -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.25), out.width="100%"} -ggplot(mpg) + - geom_point(aes(x = class, y = hwy)) -``` -] - -.pull-right[ -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(4.8, 3.25), out.width="100%"} -ggplot(mpg) + - geom_boxplot(aes(x = class, y = hwy)) -``` -] - -```{r echo=FALSE} -countdown(minutes = 3) -``` - ---- - -class: title title-1 section-title-inv-1 - -# Your turn #4 - -.box-1[Make a histogram of `hwy`. Use the cheetsheet.
    Hint: don't supply a `y` variable.] - -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(7, 3.25), out.width="70%"} -ggplot(mpg) + - geom_histogram(aes(x = hwy)) -``` - ---- - -class: title title-1 section-title-inv-1 - -# Your turn #5 - -.box-1[Make this density plot of `hwy` colored by `class`.
    Use the cheatsheet. Hint: don't supply a `y` variable.] - -```{r echo=FALSE, tidy=FALSE, message=FALSE, fig.dim=c(7, 3.25), out.width="70%"} -ggplot(mpg) + - geom_density(aes(x = hwy, color = class)) -``` - ---- - -class: title title-1 - -# Complex graphs! - -```{r echo=FALSE, fig.width=6, fig.height=3.5, out.width="70%"} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) + - geom_smooth(mapping = aes(x = displ, y = hwy)) -``` - ---- - -class: title title-1 section-title-inv-1 - -# Your turn #6 - -.box-1[Predict what this code will do. Then run it.] - -```{r eval=FALSE} -ggplot(data = mpg) + - geom_point(mapping = aes(x = displ, y = hwy)) + - geom_smooth(mapping = aes(x = displ, y = hwy)) -``` - -```{r echo=FALSE} -countdown(minutes = 2) -``` - ---- - -class: title title-1 - -# Global vs. local - -.box-inv-1[Any aesthetics in `ggplot()` will show up in all `geom_` layers] - -.small[ -```{r fig.width=6, fig.height=2.5, out.width="60%"} -ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + - geom_point() + - geom_smooth() -``` -] - ---- - -class: title title-1 - -# Global vs. local - -.box-inv-1[Any aesthetics in `geom_` layers only apply to that layer] - -.small[ -```{r fig.width=6, fig.height=2.5, out.width="60%"} -ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + - geom_point(mapping = aes(color = drv)) + - geom_smooth() -``` -] - ---- - -layout: true -class: title title-1 - ---- - -# So much more! - -.pull-left[ -.box-inv-1[There are many other layers we can use to make and enhance graphs!] - -.box-inv-1[We sequentially add layers onto the foundational `ggplot()` plot to create complex figures] -] - -.pull-right[ -![](img/01-class/03/ggplot-layers@4x.png) -] - ---- - -# Putting it all together - -.box-inv-1.medium[We can build a plot sequentially
    to see how each grammatical layer
    changes the appearance] - ---- - -layout: false - -.left-code[ -.box-1[Start with data and aesthetics] - -```{r mpg-layers-1, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, #<< - mapping = aes(x = displ, #<< - y = hwy, #<< - color = drv)) #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-1", "png")`) -] - ---- - -.left-code[ -.box-1[Add a point geom] - -```{r mpg-layers-2, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-2", "png")`) -] - ---- - -.left-code[ -.box-1[Add a smooth geom] - -```{r mpg-layers-3, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth() #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-3", "png")`) -] - ---- - -.left-code[ -.box-1[Make it straight] - -```{r mpg-layers-4, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-4", "png")`) -] - ---- - -.left-code[ -.box-1[Use a viridis color scale] - -```{r mpg-layers-5, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-5", "png")`) -] - ---- - -.left-code[ -.box-1[Facet by drive] - -```{r mpg-layers-6, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() + - facet_wrap(vars(drv), ncol = 1) #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-6", "png")`) -] - ---- - -.left-code[ -.box-1[Add labels] - -```{r mpg-layers-7, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() + - facet_wrap(vars(drv), ncol = 1) + - labs(x = "Displacement", y = "Highway MPG", #<< - color = "Drive", #<< - title = "Heavier cars get lower mileage", #<< - subtitle = "Displacement indicates weight(?)", #<< - caption = "I know nothing about cars") #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-7", "png")`) -] - ---- - -.left-code[ -.box-1[Add a theme] - -```{r mpg-layers-8, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() + - facet_wrap(vars(drv), ncol = 1) + - labs(x = "Displacement", y = "Highway MPG", - color = "Drive", - title = "Heavier cars get lower mileage", - subtitle = "Displacement indicates weight(?)", - caption = "I know nothing about cars") + - theme_bw() #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-8", "png")`) -] - ---- - -.left-code[ -.box-1[Modify the theme] - -```{r mpg-layers-9, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() + - facet_wrap(vars(drv), ncol = 1) + - labs(x = "Displacement", y = "Highway MPG", - color = "Drive", - title = "Heavier cars get lower mileage", - subtitle = "Displacement indicates weight(?)", - caption = "I know nothing about cars") + - theme_bw() + - theme(legend.position = "bottom", #<< - plot.title = element_text(face = "bold")) #<< -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-9", "png")`) -] - ---- - -.left-code[ -.box-1[Finished!] - -```{r mpg-layers-finished, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 5), out.width="100%"} -ggplot(data = mpg, - mapping = aes(x = displ, - y = hwy, - color = drv)) + - geom_point() + - geom_smooth(method = "lm") + - scale_color_viridis_d() + - facet_wrap(vars(drv), ncol = 1) + - labs(x = "Displacement", y = "Highway MPG", - color = "Drive", - title = "Heavier cars get lower mileage", - subtitle = "Displacement indicates weight(?)", - caption = "I know nothing about cars") + - theme_bw() + - theme(legend.position = "bottom", - plot.title = element_text(face = "bold")) -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("mpg-layers-finished", "png")`) -] - ---- - -class: title title-1 - -# Next up - -.box-inv-1.medium[Transforming and
    manipulating data with dplyr] diff --git a/slides/01-class_05_transform-data.Rmd b/slides/01-class_05_transform-data.Rmd deleted file mode 100644 index 682181d4..00000000 --- a/slides/01-class_05_transform-data.Rmd +++ /dev/null @@ -1,1250 +0,0 @@ ---- -title: "Transform data with dplyr" -author: "Andrew Heiss" -date: "August 23, 2021" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css"] - seal: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false - # beforeInit: "libs/offline-mathjax.js" -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(gapminder) -library(countdown) -library(flair) -library(knitr) -library(kableExtra) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-2 - -# Transform data
    with dplyr - -.class-info[ -
    - dplyr -
    -] - ---- - -layout: false -class: title title-2 section-title-inv-2 - -# Your turn #0: Load data - -1. Run the setup chunk -2. Take a look at the `gapminder` data - -```{r echo=FALSE} -countdown(minutes = 2, play_sound = TRUE, font_size = "1.5em") -``` - ---- - -.small[ -```{r show-gapminder} -gapminder -``` -] - ---- - -class: title title-2 - -# The tidyverse - -
    - tidyverse and language -
    - -??? - -From "Master the Tidyverse" by RStudio - ---- - -class: title title-2 - -# The tidyverse - -.center[ -
    - The tidyverse -
    -] - ---- - -class: title title-2 - -# dplyr: verbs for manipulating data - - - - - - - - - - - - - - - - - - - - - - -
    Extract rows with filter()filter
    Extract columns with select()select
    Arrange/sort rows with arrange()arrange
    Make new columns with mutate()mutate
    Make group summaries with
    group_by() %>% summarize()    		summarize
    - ---- - -class: center middle section-title section-title-2 - -# `filter()` - ---- - -layout: false -class: title title-2 - -# `filter()` - -.box-inv-2[Extract rows that meet some sort of test] - -.pull-left[ -```{r show-filter-template, echo=FALSE, tidy=FALSE} -decorate(' -filter(.data = DATA, ...) -', eval = FALSE) %>% - flair("DATA", background = "#FFDFD1", before = "", after = "") %>% - flair("...", background = "#FFD0CF", before = "", after = "") -``` -] - -.pull-right[ -- `DATA` = Data frame to transform -- `...` = One or more tests
    .small[`filter()` returns each row for which the test is TRUE] -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(.data = gapminder, country == "Denmark") -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark"', background = "#FFD0CF", before = "", after = "") -``` - -.pull-left[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year) %>% - head(5) %>% - mutate(year = as.character(year)) %>% - bind_rows(tibble(country = "…", continent = "…", year = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year) %>% - filter(country == "Denmark") %>% - head(6) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 - -# `filter()` - -.pull-left[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(.data = gapminder, - country == "Denmark") -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark"', background = "#FFD0CF", before = "", after = "") -``` -] - -.pull-right[ -.box-inv-2[One `=` sets an argument] - -.box-inv-2[Two `==` tests if equal
    .small[returns TRUE or FALSE)]] -] - ---- - -class: title title-2 - -# Logical tests - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    TestMeaningTestMeaning
    x < yLess thanx %in% yIn (group membership)
    x > yGreater thanis.na(x)Is missing
    ==Equal to!is.na(x)Is not missing
    x <= yLess than or equal to
    x >= yGreater than or equal to
    x != yNot equal to
    - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #1: Filtering - -.box-2[Use `filter()` and logical tests to show…] - -1. The data for Canada -2. All data for countries in Oceania -3. Rows where the life expectancy is greater than 82 - -```{r echo=FALSE} -countdown(minutes = 4) -``` - ---- - -.medium[ -```{r eval=FALSE} -filter(gapminder, country == "Canada") -``` -] - --- - -.medium[ -```{r eval=FALSE} -filter(gapminder, continent == "Oceania") -``` -] - --- - -.medium[ -```{r eval=FALSE} -filter(gapminder, lifeExp > 82) -``` -] - ---- - -class: title title-2 - -# Common mistakes - -.pull-left[ -.box-inv-2[Using `=` instead of `==`] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country = "Canada") -', eval = FALSE) %>% - flair("=", color = "#FF4136", before = "", after = "") -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country == "Canada") -', eval = FALSE) %>% - flair("==", color = "#2ECC40", before = "", after = "") -``` -] - --- - -.pull-right[ -.box-inv-2[Quote use] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country == Canada) -', eval = FALSE) %>% - flair("Canada", color = "#FF4136", before = "", after = "") -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country == "Canada") -', eval = FALSE) %>% - flair('"Canada"', color = "#2ECC40", before = "", after = "") -``` -] - ---- - -class: title title-2 - -# `filter()` with multiple conditions - -.box-inv-2[Extract rows that meet *every* test] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, country == "Denmark", year > 2000) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark", year > 2000', background = "#FFD0CF", before = "", after = "") -``` - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, country == "Denmark", year > 2000) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark", year > 2000', background = "#FFD0CF", before = "", after = "") -``` - -.pull-left[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year) %>% - head(5) %>% - mutate(year = as.character(year)) %>% - bind_rows(tibble(country = "…", continent = "…", year = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year) %>% - filter(country == "Denmark", year > 2000) %>% - head(6) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 - -# Boolean operators - - - - - - - - - - - - - - - - - - -
    OperatorMeaning
    a & band
    a | bor
    !anot
    - ---- - -class: title title-2 - -# Default is "and" - -.box-inv-2[These do the same thing:] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, country == "Denmark", year > 2000) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark", year > 2000', background = "#FFD0CF", before = "", after = "") -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, country == "Denmark" & year > 2000) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('country == "Denmark" & year > 2000', background = "#FFD0CF", before = "", after = "") -``` - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #2: Filtering - -.box-2[Use `filter()` and Boolean logical tests to show…] - -1. Canada before 1970 -2. Countries where life expectancy in 2007 is below 50 -3. Countries where life expectancy in 2007 is below 50 and are not in Africa - -```{r echo=FALSE} -countdown(minutes = 4) -``` - ---- - -```{r eval=FALSE} -filter(gapminder, country == "Canada", year < 1970) -``` - --- - -```{r eval=FALSE} -filter(gapminder, year == 2007, lifeExp < 50) -``` - --- - -```{r eval=FALSE} -filter(gapminder, year == 2007, lifeExp < 50, - continent != "Africa") -``` - ---- - -class: title title-2 - -# Common mistakes - -.pull-left[ -.box-inv-2[Collapsing multiple tests
    into one] - -.small-code[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, 1960 < year < 1980) -', eval = FALSE) %>% - flair("1960 < year < 1980", color = "#FF4136", before = "", after = "") -``` -] - -.small-code[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - year > 1960, year < 1980) -', eval = FALSE) %>% - flair("year > 1960, year < 1980", color = "#2ECC40", before = "", after = "") -``` -] -] - --- - -.pull-right[ -.box-inv-2[Using multiple tests
    instead of `%in%`] - -.small-code[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country == "Mexico", - country == "Canada", - country == "United States") -', eval = FALSE) %>% - flair('country == "Mexico", - country == "Canada", - country == "United States"', color = "#FF4136", before = "", after = "") -``` -] - -.small-code[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, - country %in% c("Mexico", "Canada", - "United States")) -', eval = FALSE) %>% - flair('country %in% c("Mexico", "Canada", - "United States")', color = "#2ECC40", before = "", after = "") -``` -] -] - ---- - -class: title title-2 - -# Common syntax - -.box-inv-2[Every dplyr verb function follows the same pattern] - -.box-inv-2[First argument is a data frame; returns a data frame] - -.pull-left[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -VERB(DATA, ...) -', eval = FALSE) %>% - flair("VERB", background = "#EFB3FF", before = "", after = "") %>% - flair("DATA", background = "#FFDFD1", before = "", after = "") %>% - flair("...", background = "#FFD0CF", before = "", after = "") -``` -] - -.pull-right[ -- `VERB` = dplyr function/verb -- `DATA` = Data frame to transform -- `...` = Stuff the verb does -] - ---- - -class: title title-2 - -# `mutate()` - -.box-inv-2[Create new columns] - -.pull-left[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -mutate(.data, ...) -', eval = FALSE) %>% - flair(".data", background = "#FFDFD1", before = "", after = "") %>% - flair("...", background = "#FFD0CF", before = "", after = "") -``` -] - -.pull-right[ -- `DATA` = Data frame to transform -- `...` = Columns to make -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -mutate(gapminder, gdp = gdpPercap * pop) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('gdp = gdpPercap * pop', background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -gapminder %>% - select(country, year, gdpPercap, pop) %>% - head(5) %>% - mutate_at(vars(year, gdpPercap, pop), ~as.character(.)) %>% - bind_rows(tibble(country = "…", year = "…", gdpPercap = "…", pop = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -gapminder %>% - mutate(gdp = gdpPercap * pop) %>% - mutate(`…` = "…") %>% - select(country, year, `…`, gdp) %>% - head(6) %>% - knitr::kable(format = "html") -``` -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -mutate(gapminder, gdp = gdpPercap * pop, - pop_mil = round(pop / 1000000)) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair('gdp = gdpPercap * pop,', background = "#FFD0CF", before = "", after = "") %>% - flair('pop_mil = round(pop / 1000000)', background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -gapminder %>% - select(country, year, gdpPercap, pop) %>% - head(5) %>% - mutate_at(vars(year, gdpPercap, pop), ~as.character(.)) %>% - bind_rows(tibble(country = "…", year = "…", gdpPercap = "…", pop = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -gapminder %>% - mutate(gdp = gdpPercap * pop, - pop_mil = round(pop / 1000000)) %>% - mutate(`…` = "…") %>% - select(country, year, `…`, gdp, pop_mil) %>% - head(6) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 - -# `ifelse()` - -.box-inv-2[Do conditional tests within `mutate()`] - -.pull-left[ -```{r echo=FALSE, tidy=FALSE} -decorate(' -ifelse(TEST, - VALUE_IF_TRUE, - VALUE_IF_FALSE) -', eval = FALSE) %>% - flair("TEST", background = "#FFC0DC", before = "", after = "") %>% - flair("VALUE_IF_TRUE", background = "#FFDFD1", before = "", after = "") %>% - flair("VALUE_IF_FALSE", background = "#CBB5FF", before = "", after = "") -``` -] - -.pull-right[ -- `TEST` = A logical test -- `VALUE_IF_TRUE` = What happens if test is true -- `VALUE_IF_FALSE` = What happens if test is false -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -mutate(gapminder, - after_1960 = ifelse(year > 1960, TRUE, FALSE)) -', eval = FALSE) %>% - flair("year > 1960", background = "#FFC0DC", before = "", after = "") %>% - flair("TRUE", background = "#FFDFD1", before = "", after = "") %>% - flair("FALSE", background = "#CBB5FF", before = "", after = "") -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -mutate(gapminder, - after_1960 = ifelse(year > 1960, - "After 1960", - "Before 1960")) -', eval = FALSE) %>% - flair("year > 1960", background = "#FFC0DC", before = "", after = "") %>% - flair('"After 1960"', background = "#FFDFD1", before = "", after = "") %>% - flair('"Before 1960"', background = "#CBB5FF", before = "", after = "") -``` - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #3: Mutating - -.box-2[Use `mutate()` to…] - -1. Add an `africa` column that is TRUE if the country is on the African continent -2. Add a column for logged GDP per capita (hint: use `log()`) -3. Add an `africa_asia` column that says “Africa or Asia” if the country is in Africa or Asia, and “Not Africa or Asia” if it’s not - -```{r echo=FALSE} -countdown(minutes = 5) -``` - ---- - -```{r eval=FALSE} -mutate(gapminder, africa = ifelse(continent == "Africa", - TRUE, FALSE)) -``` - --- - -```{r eval=FALSE} -mutate(gapminder, log_gdpPercap = log(gdpPercap)) -``` - --- - -```{r eval=FALSE} -mutate(gapminder, - africa_asia = - ifelse(continent %in% c("Africa", "Asia"), - "Africa or Asia", - "Not Africa or Asia")) -``` - ---- - -class: title title-2 - -# What if you have multiple verbs? - -.box-inv-2.sp-after[Make a dataset for just 2002 *and* calculate logged GDP per capita] - --- - -.box-inv-2[Solution 1: Intermediate variables] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder_2002 <- filter(gapminder, year == 2002) - -gapminder_2002_log <- mutate(gapminder_2002, - log_gdpPercap = log(gdpPercap)) -', eval = FALSE) %>% - flair("gapminder_2002", background = "#FFC0DC", before = "", after = "") %>% - flair("gapminder_2002_log", background = "#FFDFD1", before = "", after = "") -``` - ---- - -class: title title-2 - -# What if you have multiple verbs? - -.box-inv-2.sp-after[Make a dataset for just 2002 *and* calculate logged GDP per capita] - -.box-inv-2[Solution 2: Nested functions] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(mutate(gapminder_2002, - log_gdpPercap = log(gdpPercap)), - year == 2002) -', eval = FALSE) %>% - flair("filter(", background = "#FFC0DC", before = "", after = "") %>% - flair("year == 2002)", background = "#FFC0DC", before = "", after = "") %>% - flair("mutate(gapminder_2002,", background = "#FFDFD1", before = "", after = "") %>% - flair("log_gdpPercap = log(gdpPercap))", background = "#FFDFD1", before = "", after = "") -``` - ---- - -class: title title-2 - -# What if you have multiple verbs? - -.box-inv-2.sp-after[Make a dataset for just 2002 *and* calculate logged GDP per capita] - -.box-inv-2[Solution 3: Pipes!] - -.box-inv-2[The `%>%` operator (pipe) takes an object on the left
    and passes it as the first argument of the function on the right] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% filter(_____, country == "Canada") -', eval = FALSE) %>% - flair("gapminder", background = "#FFC0DC", before = "", after = "") %>% - flair("_____", background = "#FFC0DC", before = "", after = "") -``` - ---- - -class: title title-2 - -# What if you have multiple verbs? - -.box-inv-2[These do the same thing!] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -filter(gapminder, country == "Canada") -', eval = FALSE) %>% - flair("gapminder", background = "#FFC0DC", before = "", after = "") -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% filter(country == "Canada") -', eval = FALSE) %>% - flair("gapminder", background = "#FFC0DC", before = "", after = "") -``` - ---- - -class: title title-2 - -# What if you have multiple verbs? - -.box-inv-2.sp-after[Make a dataset for just 2002 *and* calculate logged GDP per capita] - -.box-inv-2[Solution 3: Pipes!] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% - filter(year == 2002) %>% - mutate(log_gdpPercap = log(gdpPercap)) -', eval = FALSE) -``` - ---- - -class: title title-2 - -# `%>%` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -leave_house(get_dressed(get_out_of_bed(wake_up(me, time = "8:00"), side = "correct"), pants = TRUE, shirt = TRUE), car = TRUE, bike = FALSE) -', eval = FALSE) %>% - flair_args(color = "#0D0887") %>% - flair_funs(background = "#FFC0DC", before = "", after = "") %>% - flair_input_vals(color = "#E16462") -``` - --- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -me %>% - wake_up(time = "8:00") %>% - get_out_of_bed(side = "correct") %>% - get_dressed(pants = TRUE, shirt = TRUE) %>% - leave_house(car = TRUE, bike = FALSE) -', eval = FALSE) %>% - flair_args(color = "#0D0887") %>% - flair_funs(background = "#FFC0DC", before = "", after = "") %>% - flair_input_vals(color = "#E16462") -``` - ---- - -class: title title-2 - -# `summarize()` - -.box-inv-2[Compute a table of summaries] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% summarize(mean_life = mean(lifeExp)) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair("mean_life = mean(lifeExp)", background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year, lifeExp) %>% - head(4) %>% - mutate_at(vars(year, lifeExp), ~as.character(.)) %>% - bind_rows(tibble(country = "…", continent = "…", year = "…", lifeExp = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -gapminder %>% - summarize(mean_life = mean(lifeExp)) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 - -# `summarize()` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% summarize(mean_life = mean(lifeExp), - min_life = min(lifeExp)) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair("mean_life = mean(lifeExp),", background = "#FFD0CF", before = "", after = "") %>% - flair("min_life = min(lifeExp)", background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -gapminder %>% - select(country, continent, year, lifeExp) %>% - head(5) %>% - mutate_at(vars(year, lifeExp), ~as.character(.)) %>% - bind_rows(tibble(country = "…", continent = "…", year = "…", lifeExp = "…")) %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -gapminder %>% - summarize(mean_life = mean(lifeExp), - min_life = min(lifeExp)) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #4: Summarizing - -.box-2[Use `summarize()` to calculate…] - -1. The first (minimum) year in the dataset -2. The last (maximum) year in the dataset -3. The number of rows in the dataset (use the cheatsheet) -4. The number of distinct countries in the dataset (use the cheatsheet) - -```{r echo=FALSE} -countdown(minutes = 4) -``` - ---- - -```{r eval=FALSE} -gapminder %>% - summarize(first = min(year), - last = max(year), - num_rows = n(), - num_unique = n_distinct(country)) -``` - -.small[ -```{r echo=FALSE} -gapminder %>% - summarize(first = min(year), - last = max(year), - num_rows = n(), - num_unique = n_distinct(country)) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #5: Summarizing - -.box-2[Use `filter()` and `summarize()` to calculate
    (1) the number of unique countries and
    (2) the median life expectancy on the
    African continent in 2007] - -```{r echo=FALSE} -countdown(minutes = 4) -``` - ---- - -```{r eval=FALSE} -gapminder %>% - filter(continent == "Africa", year == 2007) %>% - summarise(n_countries = n_distinct(country), - med_le = median(lifeExp)) -``` - -.small[ -```{r echo=FALSE} -gapminder %>% - filter(continent == "Africa", year == 2007) %>% - summarise(n_countries = n_distinct(country), - med_le = median(lifeExp)) %>% - knitr::kable(format = "html") -``` -] - ---- - -class: title title-2 - -# `group_by()` - -.box-inv-2[Put rows into groups based on values in a column] - -```{r echo=FALSE, tidy=FALSE} -decorate(' -gapminder %>% group_by(continent) -', eval = FALSE) %>% - flair("gapminder", background = "#FFDFD1", before = "", after = "") %>% - flair("continent", background = "#FFD0CF", before = "", after = "") -``` - -  - --- - -.box-inv-2[Nothing happens by itself!] - --- - -.box-inv-2[Powerful when combined with `summarize()`] - ---- - -```{r eval=FALSE} -gapminder %>% - group_by(continent) %>% - summarize(n_countries = n_distinct(country)) -``` - --- - -.small[ -```{r echo=FALSE} -gapminder %>% - group_by(continent) %>% - summarize(n_countries = n_distinct(country)) %>% - knitr::kable(format = "html") -``` -] - ---- - -```{r echo=FALSE} -pollution <- tribble( - ~city, ~particle_size, ~amount, - "New York", "Large", 23, - "New York", "Small", 14, - "London", "Large", 22, - "London", "Small", 16, - "Beijing", "Large", 121, - "Beijing", "Small", 56 -) -``` - -```{r echo=FALSE, tidy=FALSE} -decorate(' -pollution %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) -', eval = FALSE) %>% - flair("pollution", background = "#FFDFD1", before = "", after = "") %>% - flair("mean = mean(amount), sum = sum(amount), n = n()", background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -pollution %>% - knitr::kable(format = "html") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -pollution %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) %>% - kable(format = "html") -``` -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -pollution %>% - group_by(city) %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) -', eval = FALSE) %>% - flair("pollution", background = "#FFDFD1", before = "", after = "") %>% - flair("mean = mean(amount), sum = sum(amount), n = n()", background = "#FFD0CF", before = "", after = "") %>% - flair("city", background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -pollution %>% - knitr::kable(format = "html") %>% - row_spec(1:2, background = "#B2B1F9") %>% - row_spec(3:4, background = "#EFB3FF") %>% - row_spec(5:6, background = "#FFD0CF") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -pollution %>% - group_by(city) %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) %>% - kable(format = "html") %>% - row_spec(3, background = "#B2B1F9") %>% - row_spec(2, background = "#EFB3FF") %>% - row_spec(1, background = "#FFD0CF") -``` -] - ---- - -```{r echo=FALSE, tidy=FALSE} -decorate(' -pollution %>% - group_by(particle_size) %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) -', eval = FALSE) %>% - flair("pollution", background = "#FFDFD1", before = "", after = "") %>% - flair("mean = mean(amount), sum = sum(amount), n = n()", background = "#FFD0CF", before = "", after = "") %>% - flair("particle_size", background = "#FFD0CF", before = "", after = "") -``` - -.pull-left.small[ -```{r echo=FALSE} -pollution %>% - knitr::kable(format = "html") %>% - row_spec(c(1, 3, 5), background = "#FFDFD1") %>% - row_spec(c(2, 4, 6), background = "#FFF0D4") -``` -] - --- - -.pull-right.small[ -```{r echo=FALSE} -pollution %>% - group_by(particle_size) %>% - summarize(mean = mean(amount), sum = sum(amount), n = n()) %>% - kable(format = "html") %>% - row_spec(1, background = "#FFDFD1") %>% - row_spec(2, background = "#FFF0D4") -``` -] - ---- - -class: title title-2 section-title-inv-2 - -# Your turn #6: Grouping and summarizing - -.box-2[Find the minimum, maximum, and median
    life expectancy for each continent] - -.box-2[Find the minimum, maximum, and median
    life expectancy for each continent in 2007 only] - -```{r echo=FALSE} -countdown(minutes = 5) -``` - ---- - -```{r eval=FALSE} -gapminder %>% - group_by(continent) %>% - summarize(min_le = min(lifeExp), - max_le = max(lifeExp), - med_le = median(lifeExp)) -``` - --- - -```{r eval=FALSE} -gapminder %>% - filter(year == 2007) %>% - group_by(continent) %>% - summarize(min_le = min(lifeExp), - max_le = max(lifeExp), - med_le = median(lifeExp)) -``` - ---- - -class: title title-2 - -# dplyr: verbs for manipulating data - - - - - - - - - - - - - - - - - - - - - - -
    Extract rows with filter()filter
    Extract columns with select()select
    Arrange/sort rows with arrange()arrange
    Make new columns with mutate()mutate
    Make group summaries with
    group_by() %>% summarize()    		summarize
    diff --git a/slides/01-presentacion.Rmd b/slides/01-presentacion.Rmd new file mode 100644 index 00000000..75675150 --- /dev/null +++ b/slides/01-presentacion.Rmd @@ -0,0 +1,279 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: github + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +require("knitr") +options(htmltools.dir.version = FALSE) +pacman::p_load(RefManageR) +# bib <- ReadBib("../../bib/electivomultinivel.bib", check = FALSE) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=FALSE, + cache = FALSE, fig.width=7, fig.height=5.2) +pacman::p_load(flipbookr, tidyverse) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación, y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.black[correlacional.netlify.com]](https://correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .curso[Sesión 1:] +# .curso[Presentación]] +] +] +--- + +layout: true +class: animated, fadeIn + +--- + +# Objetivo de la sesión: + +- marco general del curso + +- motivación + +- contenidos y funcionamiento + + +--- +class: inverse middle center + +# _¿Qué saben de este curso?_ + +# _¿Cuáles son sus expectativas?_ + +--- +# Algunos mitos + +-- + +.pull-left[ +![](https://jc-castillo.com/media/albums/gallery/IMG-20220312-WA0007.jpg) + +] + +-- + +.pull-right[ +- positivismo + +- predominante + +- foco en los números + +- cuadrado + +- masculino + +- verdad absoluta + +] + + +--- +class: inverse, middle, center, animated, slideInRight + + +# .orange[¿Por qué estudiar estadística en sociología?] + + + +--- +class: middle + +.pull-left[ +.content-box-red[ +.center[ +# Imaginación sociológica + +Relación del individuo con la sociedad y con la historia + +Individuos en contexto social + +(C.Wright Mills)] +] +] +.pull-right[ +.center[ +.content-box-green[ +# Imaginación estadística + +Una apreciación de que tan usual o inusual es un evento, circunstancia o comportamiento, en relación con un conjunto mayor de eventos similares + +(Ritchey, 2008) +] +]] + +--- +class: inverse middle center + +## *"Adquirir la **.yellow[imaginación estadística]** es abrir los ojos a una representación más amplia de la realidad y superar malentendidos, prejuicios y estrechez de pensamiento"* +(Ritchey, 2008, p.3) + +--- + +.pull-left[ +# Estadística: +"Rama de la matemática que utiliza grandes conjuntos de datos numéricos para obtener **inferencias** basadas en el cálculo de probabilidades". (RAE)] + +-- + +.pull-right[ + +# Dos características: + +- **humildad**: la inferencia siempre posee una probabilidad de error + +- **pretensión**: podemos medir y establecer qué grado de error estamos cometiendo +] +--- +class: inverse middle center + +## _"El problema con el mundo es que las personas inteligentes están llenas de dudas, mientras que las estúpidas están llenas de certezas"_ (Bukowski) + +--- +class: middle center +![](https://jc-castillo.com/media/albums/gallery/dino3.png) + + +--- +class: roja + +# Este curso + +--- +# Ciclo de formación en métodos cuantitativos + +![](https://multivariada.netlify.app/slides/01-intro/ciclo.png) + +--- +class: middle + +.pull-left[ +.content-box-red[ +.center[ +# Estadística descriptiva + +Número de observaciones registradas y frecuencia de esas observaciones (en una muestra o en la población) +] +] +] + +.pull-right[ +.center[ +.content-box-green[ +# Estadística inferencial + +Contraste de hipótesis y teorías científicas en base a datos de investigación +] +]] + + +--- +# Sobre el sentido general del curso +En este curso vamos a aprender tres cosas principales: + +1. **Inferencia**: los resultados que encontramos en nuestra muestra, ¿se encuentran también en la población de la cual proviene la muestra? + +2. **Asociación** entre variables: tamaño y significación estadística + +3. **Reporte y reproducibilidad** + +--- +# Organización general +.center[ +![](img/plan.png) +] + +--- +# Consideraciones + + +.pull-left[ +- comunicación eficiente + +- participación + +- puntualidad +] + +.pull-right[ +- asistencia + +- lecturas + +- monitoreo +] +--- +class: roja +# Web: + + +# [.yellow[correlacional.netlify.app]](https://correlacional.netlify.app) + +## -> revisar programa y planificación + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.black[correlacional.netlify.com]](https://correlacional.netlify.com) +] + + + diff --git a/slides/01-presentacion.html b/slides/01-presentacion.html new file mode 100644 index 00000000..0929a999 --- /dev/null +++ b/slides/01-presentacion.html @@ -0,0 +1,432 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/01-slides.Rmd b/slides/01-slides.Rmd deleted file mode 100644 index 02788a44..00000000 --- a/slides/01-slides.Rmd +++ /dev/null @@ -1,1056 +0,0 @@ ---- -title: "Evaluation and the causal revolution" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Evaluation and the
    causal revolution - -.class-info[ - -**Session 1** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[Data science and public service] - --- - -.box-3.medium.sp-after-half[Evidence, evaluation, and causation] - --- - -.box-6.medium.sp-after-half[Class details] - ---- - -layout: false -name: ds-ps -class: center middle section-title section-title-5 animated fadeIn - -# Data science and
    public service - ---- - -class: title title-5 - -# Data and government - -.pull-left-3.center[ -
    - US Digital Service -
    -] - --- - -.pull-middle-3.center[ -
    - DJ Patil -
    DJ Patil
    -
    -] - --- - -.pull-right-3[ -  - -.box-inv-5["To responsibly unleash the power of data to benefit all Americans"] -] - -??? - -DJ Patil, ["What Makes a Radical and Revolutionary Technology?](https://www.youtube.com/watch?v=UOoMzaWOQJA) - ---- - -.center[ -
    - Obama's Data-Driven Justice Initiative -
    -] - -??? - -11.4 million people + 23 days - -Data shared between agencies - arresting officer checks database, sees if person has been cycling, sees if they need mental health services - -Two jails in Florida closed after this - -https://obamawhitehouse.archives.gov/the-press-office/2016/06/30/fact-sheet-launching-data-driven-justice-initiative-disrupting-cycle - ---- - -.center[ -
    - New Orleans hackathon -
    -] - ---- - -class: bg-full -background-image: url("img/01/open-city-all.png") - -??? - -http://us-cities.survey.okfn.org/ - ---- - -class: bg-full -background-image: url("img/01/open-city-atl.png") - -??? - -http://us-cities.survey.okfn.org/place/atlanta - ---- - -class: bg-full -background-image: url("img/01/dataset-search.png") - -??? - -https://datasetsearch.research.google.com/ - ---- - -class: middle - -.box-5.large[How do you use all this data
    to make the world better?] - ---- - -class: middle - -.box-5.large[Analyze it and
    uncover insights!] - -.box-inv-5[(and take this class!)] - ---- - -layout: true -class: title title-5 - ---- - -# What is "statistics"? - -  - -.box-inv-5.medium[Collecting and analyzing data from a representative sample in order to make inferences about a whole population] - ---- - -# What is "data science"? - -.box-inv-5.medium.sp-after[Turning raw data into
    understanding, insight,
    and knowledge] - --- - -.pull-left-3[ -.box-5.medium[ Collect ] -] - -.pull-middle-3[ -.box-5.medium[ Analyze ] -] - -.pull-right-3[ -.box-5.medium[Communicate] -] - ---- - -# What's the difference? - -.pull-left.center[ -
    - Data science Venn diagram -
    -] - -.pull-right[ -.box-inv-5.medium[Collect] - -.box-inv-5.medium[Analyze] - -.box-5.medium[Communicate] -] - ---- - -# What is "program evaluation"? - -.box-inv-5.medium[Measuring the effect of
    social programs on society] - -.pull-left[ -.box-5[.medium[**Data science**]
    (data + statistics +
    communication)] -] - -.pull-right[ -.box-5[.medium[**Causal inference**]
    (DAGs + econometrics)] -] - ---- - -layout: false -name: evidence-evaluation-causation -class: center middle section-title section-title-3 animated fadeIn - -# Evidence, evaluation,
    and causation - ---- - -layout: true -class: title title-3 - ---- - -# Evidence-based medicine - -.center[ -
    - Salk trials -
    -] - -??? - -Polio shots administered blindly with placebo - kids didn't know, doctor didn't know (double blind) - effect found - -Why not just use those who didn't get a shot as the control group? Why placebo? Kids who opted out were poor (which actually had a lower incidence rate), so you can't compare them with the rich (which had higher incidence rate) - -All drugs get the safety and efficacy requirement and double blind RCTs after that - -https://www.npr.org/sections/health-shots/2020/05/22/860789014/the-race-for-a-polio-vaccine-differed-from-the-quest-to-prevent-coronavirus - ---- - -# Modern evidence-based medicine - -.box-inv-3.medium[Apply evidence to clinical
    treatment decisions] - --- - -.box-inv-3.medium.sp-after[Move away from clinical judgment
    and "craft knowledge"] - --- - -.box-3.medium[Is this good?] - -??? - -No, this isn’t the greatest. Push for evidence-based practice can crowd out clinical judgment, which is valuable – we can’t ignore it or dismiss it - -Doctors have seen things in the past. Lady Sybil in Downton Abbey and preeclampsia - family doctor knew more about the condition and Sybil—he had intuition and experience—but he was ignored - ---- - -# Evidence-based policy - --- - -.box-inv-3.medium[RAND health insurance study] - --- - -.box-inv-3.medium[Oregon Medicaid expansion] - --- - -.box-inv-3.medium[HUD's Moving to Opportunity] - --- - -.box-inv-3.medium[Tennessee STAR] - -??? - -- RAND: In a large-scale, multiyear experiment, participants who paid for a share of their health care used fewer health services than a comparison group given free care. It concluded that cost sharing reduced "inappropriate or unnecessary" medical care (overutilization), but also reduced "appropriate or needed" medical care. -- Oregon: ongoing -- MTO: Researchers found that voucher recipients lived in lower-crime neighborhoods and generally had better units than the control group families, but the experiment had no impact on earnings or educational attainment. It did, however, have unexpected results in health and happiness. Parents in families who moved to low-poverty areas had lower rates of obesity and depression, and positive impacts on behavior and outlook among young women (but not young men) -- STAR: smaller class sizes lead to better outcomes - ---- - -# Policy evidence industry - --- - -.box-inv-3.medium[Jameel Poverty Action Lab (J-PAL)] - --- - -.box-inv-3.medium[Campbell Collaboration] - -??? - -- https://www.povertyactionlab.org/ -- https://campbellcollaboration.org/ - ---- - -layout: false - -  - -.box-3.large[Should we have evidence for
    every policy or program?] - --- - -.box-inv-3.medium[**No!**] - --- - -.box-inv-3[Science vs. art/craft/intuition] - ---- - -.pull-left.center[ -
    - No RCTs for smoking -
    -] - --- - -.pull-right.center[ -
    - Drink ID sign -
    -] - -??? - -https://twitter.com/epiellie/status/1017622949799571456?s=12 - -In the 1970s, experts were saying that reducing the drinking age would be fine - 26 states did - created a natural quasi-experiment for researchers - Cook then found that highway fatalities increase by 10% for 18–20-year-olds. That wouldn't have been possible without legislators inadvertently performing the experiment, paving the way for better science - -So knowledge flows between the two sides - use innovation from administrators as the basis for better science - - ---- - -  - -.box-3.large[Where does program evaluation
    fit with all this?] - --- - -.box-inv-3[It's a method for collecting evidence
    for policies and programs] - ---- - -layout: true -class: title title-3 - ---- - -# Types of evaluation - -.pull-left.center[ -
    - Rossi, Evaluation -
    -] - -.pull-right[ -.box-inv-3[Needs assessment] - -.box-inv-3[Design and
    theory assessment] - -.box-inv-3[Process evaluation
    and monitoring] - -.box-inv-3[Impact evaluation] - -.box-inv-3[Efficiency evaluation (CBA)] -] - ---- - -layout: false - -.center[ -
    - PSD logic model -
    -] - ---- - -layout: true -class: title title-3 - ---- - -# Theories of change - -.center[ -
    - PSD impact theory -
    -] - -.box-inv-3[Impact evaluation!] - ---- - -layout: false - -.center[ -
    - Impact Evaluation in Practice -
    -] - ---- - -class: title title-3 - -# Theory → impact - -
    - Program effect -
    - ---- - -class: middle - -
    - PSD program effect -
    - ---- - -name: evidence-evaluation-causation1 - -.center[ -
    - Godwin's Law -
    -] - -??? - -https://en.wikipedia.org/wiki/Godwin%27s_law - ---- - -class: title title-3 - -# Godwin's Law for statistics - --- - -.box-inv-3.medium[Correlation does not
    imply causation] - --- - -.box-3[Except when it does] - --- - -.box-3[Even if it doesn't,
    this phrase is useless
    and kills discussion] - ---- - -.center[ -
    - Slate headline -
    - -
    - -
    - Slate quote -
    -] - -??? - -https://slate.com/technology/2012/10/correlation-does-not-imply-causation-how-the-internet-fell-in-love-with-a-stats-class-cliche.html - ---- - -layout: true -class: title title-3 - ---- - -# Correlation vs. causation - -.pull-left[ -.box-inv-3.medium[How do we figure out correlation?] -] - -.pull-right[ -.box-inv-3.medium[How do we figure out causation?] -] - ---- - -# Correlation vs. causation - -.pull-left[ -.box-inv-3.medium[How do we figure out correlation?] - -.box-3[Math and statistics] -] - -.pull-right[ -.box-inv-3.medium[How do we figure out causation?] -] - ---- - -# Correlation vs. causation - -.pull-left[ -.box-inv-3.medium[How do we figure out correlation?] - -.box-3[Math and statistics] -] - -.pull-right[ -.box-inv-3.medium[How do we figure out causation?] - -.box-3[Philosophy. No math.] -] - ---- - -layout: false -class: middle - -.center[ -
    - John Holbein on causality -
    -] - ---- - -layout: true -class: title title-3 - ---- - -# How does we know if **X** causes **Y**? - --- - -.box-inv-3.medium[**X** causes **Y** if…] - --- - -.box-inv-3.medium[…we intervene and change **X**
    without changing anything else…] - --- - -.box-inv-3.medium[…and **Y** changes] - ---- - -# **Y** "listens to" **X** - --- - -.box-inv-3["A variable **X** is a cause of a variable **Y** if **Y** in any way relies on **X** for its value.… **X** is a cause of **Y** if **Y** listens to **X** and decides its value in response to what it hears"
    (Pearl, Glymour, and Jewell 2016, 5–6)] - --- - -.box-inv-3[**Y** doesn't necessarily listen only to **X**] - --- - -.box-inv-3[A light switch causes a light to go on, but not
    if the bulb is burned out (no **Y** despite **X**), or if
    the light was already on (**Y** without **X**)] - ---- - -# Causal relationships? - --- - -.box-inv-3.medium[Lighting fireworks causes noise] - --- - -.box-inv-3.medium[Rooster crows cause the sunrise] - --- - -.box-inv-3.medium[Getting an MPA/MPP increases your earnings] - --- - -.box-inv-3.medium[Colds go away a few days
    after you take vitamin C] - ---- - -# Causation - -.box-inv-3.medium[Causation =
    Correlation + time order +
    nonspuriousness] - --- - -.box-3[How do you know if you have it right?] - --- - -.box-3[You need a philosophical model] - --- - -.box-3[That's what this class is for!] - ---- - -# The causal revolution - -.pull-left-narrow[ -
    - The Book of Why -
    -] - -.pull-right-wide.center[ -
    - Judea Pearl -
    -] - ---- - -# Causal diagrams - -.box-inv-3.medium[Directed acyclic graphs (DAGs)] - -.pull-left[ - -.box-3.SMALL[Graphical model of the process that generates the data] - -.box-3.SMALL[Maps your philosophical model] - -.box-3.SMALL[Fancy math ("*do*-calculus") tells you what to control for to isolate and identify causation] - -] - -.pull-right[ - -```{r simple-dag, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 14) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` - -] - ---- - -layout: false - -```{r edu-earn-simple, echo=FALSE, fig.width=9, fig.height=4.5, out.width="100%"} -edu_earn_coords <- list(x = c(Edu = 2, Earn = 4, Year = 2, Bkgd = 4, - Loc = 3, JobCx = 3, Req = 1, U1 = 3), - y = c(Edu = 2, Earn = 2, Year = 3, Bkgd = 3, - Loc = 3, JobCx = 1, Req = 2, U1 = 4)) - -dagify( - Earn ~ Edu, - exposure = "Edu", - outcome = "Earn", - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_text(color = "black", size = 7) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = "none") + - theme_dag() -``` - ---- - -```{r edu-earn-full, echo=FALSE, fig.width=9, fig.height=4.5, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = "none") + - theme_dag() -``` - ---- - -```{r smoking-dag, echo=FALSE, fig.width=9, fig.height=4.5, out.width="100%"} -set.seed(123) -dagify(cardiacarrest ~ cholesterol, - cholesterol ~ smoking + weight, - smoking ~ unhealthy, - weight ~ unhealthy, - labels = c("cardiacarrest" = "Cardiac\n Arrest", - "smoking" = "Smoking", - "cholesterol" = "Cholesterol", - "unhealthy" = "Unhealthy\n Lifestyle", - "weight" = "Weight"), - latent = "unhealthy", - exposure = "smoking", - outcome = "cardiacarrest") %>% - ggdag(text = FALSE, use_labels = "label") + - theme_dag() -``` - - ---- - -.center[ -
    - FASD DAG -
    Effect of smoking on fetal alcohol syndrome
    -
    -] - -??? - -https://link.springer.com/article/10.1007/s00787-018-1264-3 - - ---- - -class: bg-full -background-image: url("img/01/nyt-dag1.png") - -??? - -https://twitter.com/andrewheiss/status/1208836534285340673 - ---- - -class: bg-full -background-image: url("img/01/nyt-dag2.png") - -??? - -https://twitter.com/andrewheiss/status/1208836534285340673 - ---- - -layout: false -name: class-details -class: center middle section-title section-title-6 animated fadeIn - -# Class details - ---- - -layout: true -class: title title-6 - ---- - -# Plan for the class - -.center[ -
    - Class flowchart -
    -] - ---- - -# Textbooks - -.pull-left.center[ -
    - Impact Evaluation in Practice -
    -] - -.pull-right.center[ -
    - The Effect -
    -] - ---- - -layout: false - -class: bg-full -background-image: url("img/01/geordi.png") - ---- - -layout: true -class: title title-6 - ---- - -# Class technology - -.center[ -
    - R logo -
    - -
    - RStudio logo -
    -] - ---- - -# The tidyverse - -.center[ -
    - The tidyverse -
    -] - ---- - -# The tidyverse - -
    - tidyverse and language -
    - -??? - -From "Master the Tidyverse" by RStudio - ---- - -# R code, but reads like English! - -.small-code[ -```{r example-code, eval=FALSE} -strike_damages_month <- bird_strikes %>% - group_by(Month) %>% - summarize(total_damages = sum(Cost, na.rm = TRUE), - average_damages = mean(Cost, na.rm = TRUE)) - -ggplot(data = strike_damages_month, - mapping = aes(x = Month, y = total_damages)) + - geom_col() + - scale_y_continuous(labels = dollar) + - labs(x = "Month", - y = "Total damages", - title = "Really expensive collisions happen in the fall?", - subtitle = "Don't fly in August or October?", - caption = "Source: FAA Wildlife Strike Database") -``` -] ---- - -# Sucking - -.center[ -.box-inv-6.medium[“There is no way of knowing nothing about a subject to knowing something about a subject without going through a period of much frustration and suckiness.”] - -.box-inv-6.medium[**“Push through. You’ll suck less.”**] - -.box-inv-6.tiny[Hadley Wickham, author of **ggplot2**] -] - -??? - -[Source for quote](https://twitter.com/Akbaritabar/status/1022057084802748416) - ---- - -# Sucking - -  - -.pull-left[ -
    - Sucking at something is the first step towards being sort of good at something -
    -] - --- - -.pull-right[ -
    - It's great to suck at something -
    Karen Rinaldi, "(It's Great to) Suck at Something"
    -
    -] - ---- - -# Am I making you computer scientists? - --- - -.box-inv-6.huge[**No!**] - --- - -.box-6[You don't need to be a mechanic to drive a car safely] - --- - -.box-6[You don't need to be a computer scientist
    or developer to use R safely] - -??? - -Words of wisdom from @allison_horst to her data analysis class this quarter: You don't need to be a mechanic to drive a car safely, and you don't need to be a computer scientist or developer to use R safely. #rstats #tidytuesday - -https://twitter.com/ameliaritger/status/1214682596182904832?s=12 - -I always teach my students: there’s three levels of skill: driver, mechanic, engineer. You’re here to get your drivers license. But being able to change a tire can be helpful. Don’t worry not every one has to be an engineer. (I talk about R in social sciences) - -https://twitter.com/Sumidu/status/1214695065387438083 - ---- - -# Learning R - -.center[ -
    - Learning R through googling -
    -] - -??? - -https://twitter.com/kierisi/status/898534740051062785 - ---- - -layout: false -class: center middle - -.box-6.huge[You can do this.] - ---- - -layout: true -class: title title-6 - ---- - -# Goals for the class - --- - -.box-inv-6.medium[~~Become an expert with R~~] - --- - -.box-inv-6.medium[Speak and do causation] - --- - -.box-inv-6.medium[Design rigorous evaluations] - --- - -.box-6.medium[Change the world with data] - ---- - -# Prerequisites - --- - -.box-inv-6.medium[**Math skills**] - -.box-inv-6.small.sp-after[Basic algebra] - --- - -.box-inv-6.medium[**Computer science skills**] - -.box-inv-6.small.sp-after[None] - --- - -.box-inv-6.medium[**Statistical skills**] - -.box-inv-6.small[Regression, differences in means, and statistical significance] diff --git a/slides/02-class.Rmd b/slides/02-class.Rmd deleted file mode 100644 index df3316f2..00000000 --- a/slides/02-class.Rmd +++ /dev/null @@ -1,269 +0,0 @@ ---- -title: "Class 2: Regression and inference" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(broom) -library(patchwork) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 2 - -.class-info[ - -**January 19, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-6.medium.sp-after-half[R FAQs] - --- - -.box-5.medium.sp-after-half[Regression FAQs] - --- - -.box-2.medium.sp-after-half[Transforming data with **dplyr**] - --- - -.box-1.medium[Regression with R] - ---- - -layout: false -name: r-faqs -class: center middle section-title section-title-6 animated fadeIn - -# R FAQs - ---- - -layout: true -class: middle - ---- - -.box-6.large[RStudio fun] - ---- - -.box-6.large[Column types] - -.box-inv-6[Numeric, continuous, count, ordinal, interval,
    qualitative, categorical, a billion other inconsistent names] - ---- - -.box-6.large[File paths, working directories,
    and RStudio projects] - -??? - -- -- Working directories and RStudio projects - ---- - -.box-6.large[The hyperliterality of computers] - ---- - -.box-6.large[R Markdown fun] - -??? - -- Markdown metadata and outputs, figure sizes -- Show final Rmd products. Explanatory, like blog post code through or a problem set vs. stand-alone research paper - ---- - -.box-6.large[Fun with histograms] - ---- - -.box-6.large[Logging] - -??? - - - ---- - -layout: false -name: regression-faqs -class: center middle section-title section-title-5 animated fadeIn - -# Regression FAQs - ---- - -layout: true -class: middle - ---- - -.box-5.large[Regression equations] - -.box-inv-5[And is the intercept ever useful,
    or should we always ignore it?] - -??? - - - - - ---- - -.box-5.medium.sp-after[Why use two steps to create a regression in R?
    (i.e. assigning it to an object with `<-`?)] - -.box-5.medium[Why use `tidy()`
    from the broom package?] - -??? - -Show model with `lm()`; show t-test with `t.test()`; show both through `tidy()` - -Use **marginaleffects** - ---- - -.box-5.medium[How was the 0.05 significance
    threshold determined?] - -.box-5.medium[Could we say something is significant
    if p > 0.05, but just note that it is at
    a higher p-value?
    Or does it have to fall under 0.05?] - ---- - -.box-5.large[Why all this convoluted
    logic of null worlds?] - ---- - -layout: false -class: title title-5 - -# Different "dialects" of statistics - -.pull-left[ -.box-5.medium[Frequentist] - -$$P(\text{data} \mid H_0)$$ - -.box-inv-5["Regular" statistics;
    what you've learned
    (and are learning here)] - -] - --- - -.pull-right[ -.box-5.medium[Bayesian] - -$$P(H \mid \text{data})$$ - -.box-inv-5[Requires lots of
    computational power] - -] - ---- - -layout: true -class: middle - ---- - -.box-5.medium[Do we care about the actual coefficients
    or just whether or not they're significant?] - -.box-5.medium[How does significance relate to causation?] - -.box-5.medium[If we can't use statistics to assert causation
    how are we going to use this information
    in program evaluation?] - ---- - -.box-5.large[What counts as a "good" R²?] - ---- - -.center[ -
    - Euler diagram -
    -] - ---- - -.center[ -
    - R2 prediction -
    -] - ---- - -.center[ -
    - R2 estimation -
    -] - ---- - -.center[ -
    - R2 estimation vs prediction -
    -] - ---- - -layout: false -name: dplyr -class: center middle section-title section-title-2 animated fadeIn - -# Transforming
    data with dplyr - ---- - -layout: false -name: ggplot -class: center middle section-title section-title-1 animated fadeIn - -# Regression with R diff --git a/slides/02-slides.Rmd b/slides/02-slides.Rmd deleted file mode 100644 index 6f5268de..00000000 --- a/slides/02-slides.Rmd +++ /dev/null @@ -1,1043 +0,0 @@ ---- -title: "Regression and inference" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(broom) -library(patchwork) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Regression
    and inference - -.class-info[ - -**Session 2** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-2.medium.sp-after-half[Drawing lines] - --- - -.box-6.medium.sp-after-half[Lines, Grϵϵκ, and regression] - --- - -.box-5.medium.sp-after-half[Null worlds and statistical significance] - ---- - -layout: false -name: drawing-lines -class: center middle section-title section-title-2 animated fadeIn - -# Drawing lines - ---- - -layout: true -class: title title-2 - ---- - -# Essential parts of regression - -.pull-left[ -.box-inv-2.large[**Y**] - -.box-2[Outcome variable] - -.box-2[Response variable] - -.box-2[Dependent variable] - -.box-inv-2[Thing you want to
    explain or predict] -] - --- - -.pull-right[ -.box-inv-2.large[**X**] - -.box-2[Explanatory variable] - -.box-2[Predictor variable] - -.box-2[Independent variable] - -.box-inv-2[Thing you use to
    explain or predict **Y**] -] - ---- - -# Identify variables - -.pull-left[ -.box-inv-2[A study examines the effect of smoking on lung cancer] - -.box-inv-2[Researchers predict genocides by looking at negative media coverage, revolutions in neighboring countries, and economic growth] -] - -.pull-right[ -.box-inv-2[You want to see if taking more AP classes in high school improves college grades] - -.box-inv-2[Netflix uses your past viewing history, the day of the week, and the time of the day to guess which show you want to watch next] -] - ---- - -# Two purposes of regression - -.pull-left[ -.box-inv-2.medium[Prediction] - -.box-2[Forecast the future] - -.box-2.sp-after[Focus is on **Y**] - -.box-inv-2.small[Netflix trying to
    guess your next show] - -.box-inv-2.small[Predicting who will enroll in SNAP] -] - --- - -.pull-right[ -.box-inv-2.medium[Explanation] - -.box-2[Explain effect of **X** on **Y**] - -.box-2.sp-after[Focus is on **X**] - -.box-inv-2.small[Netflix looking at the effect of the
    time of day on show selection] - -.box-inv-2.small[Measuring the effect of
    SNAP on poverty reduction] -] - ---- - -# How? - -.box-inv-2.medium.sp-after-half[Plot **X** and **Y**] - --- - -.box-inv-2.medium[Draw a line that approximates the relationship] - -.box-2.tiny[and that would plausibly work for data not in the sample!] - --- - -.box-inv-2.medium.sp-after-half.sp-before-half[Find mathy parts of the line] - --- - -.box-inv-2.medium[Interpret the math] - ---- - -# Cookies and happiness - -```{r make-cookies, include=FALSE} -cookies <- tibble(happiness = c(0.5, 2, 1, 2.5, 3, 1.5, 2, 2.5, 2, 3), - cookies = 1:10) - -cookies_data <- cookies -cookies_model <- lm(happiness ~ cookies, data = cookies) -cookies_fitted <- augment(cookies_model) -``` - -.center[ - -```{r echo=FALSE} -cookies -``` - -] - ---- - -layout: false - -```{r cookies-base, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_base <- ggplot(cookies_fitted, aes(x = cookies, y = happiness)) + - geom_point(size = 3) + - coord_cartesian(xlim = c(0, 10), ylim = c(0, 3)) + - scale_x_continuous(breaks = 0:10) + - labs(x = "Cookies eaten", y = "Level of happiness") + - theme_minimal(base_size = 14) + - theme(panel.grid.minor = element_blank(), - plot.title = element_text(face = "bold")) - -cookies_base -``` - ---- - -```{r cookies-spline, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_base + - geom_smooth(method = lm, color = "#0074D9", formula = y ~ splines::bs(x, 7), se = FALSE) -``` - ---- - -```{r cookies-loess, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_base + - geom_smooth(method = "loess", color = "#0074D9", se = FALSE) -``` - ---- - -```{r cookies-lm, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_base + - geom_smooth(method = "lm", color = "#0074D9", se = FALSE) -``` - ---- - -```{r cookies-lm-residual, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_with_residual <- cookies_base + - geom_smooth(method = "lm", color = "#0074D9", se = FALSE) + - geom_segment(aes(xend = cookies, yend = .fitted), color = "#FF851B", size = 1) - -cookies_with_residual -``` - ---- - -```{r cookies-residual-only, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -cookies_residual_only <- ggplot(cookies_fitted, aes(x = cookies, y = .resid)) + - geom_hline(yintercept = 0, color = "#B10DC9", size = 1) + - geom_point(size = 3) + - geom_segment(aes(xend = cookies, yend = 0), color = "#FF851B", size = 1) + - coord_cartesian(xlim = c(0, 10), ylim = c(-1.5, 1.5)) + - scale_x_continuous(breaks = 0:10) + - labs(x = "Cookies eaten", y = "Distance from line") + - theme_minimal(base_size = 14) + - theme(panel.grid.minor = element_blank(), - plot.title = element_text(face = "bold")) - -cookies_residual_only -``` - ---- - -```{r cookies-resid-side-by-side, echo=FALSE, message=FALSE, fig.dim=c(8, 4), out.width="100%"} -(cookies_with_residual + labs(title = "Cookies and happiness")) + - (cookies_residual_only + labs(title = "Residual errors")) -``` - ---- - -class: title title-2 - -# Ordinary least squares (OLS) regression - -```{r cookies-lm-residual-shorter, echo=FALSE, message=FALSE, fig.dim=c(8, 3.5), out.width="100%"} -cookies_with_residual -``` - ---- - -layout: false -name: lines-greek-regression -class: center middle section-title section-title-6 animated fadeIn - -# Lines, Grϵϵκ,
    and regression - ---- - -layout: true -class: title title-6 - ---- - -# Drawing lines with math - -$$ -y = mx + b -$$ - - - - - - - - - - - - - - - - - - -
    \(y\) A number
    \(x\) A number
    \(m\) Slope (\(\frac{\text{rise}}{\text{run}}\))
    \(b\) y-intercept
    - ---- - -# Slopes and intercepts - -.pull-left[ - -$$ -y = 2x - 1 -$$ - -```{r simple-line-1, echo=FALSE, fig.dim=c(4.8, 3.5), out.width="100%"} -ggplot(data = tibble(x = 0:5), aes(x = x)) + - stat_function(fun = function(x) 2 * x - 1, - color = "#BF3984", size = 1.5) + - geom_vline(xintercept = 0) + - geom_hline(yintercept = 0) + - scale_x_continuous(breaks = 0:5) + - scale_y_continuous(breaks = -1:9) + - theme(panel.grid.minor = element_blank()) -``` - -] - --- - -.pull-right[ - -$$ -y = -0.5x + 6 -$$ - -```{r simple-line-2, echo=FALSE, fig.dim=c(4.8, 3.5), out.width="100%"} -ggplot(data = tibble(x = 0:14), aes(x = x)) + - stat_function(fun = function(x) -0.5 * x + 6, - color = "#BF3984", size = 1.5) + - geom_vline(xintercept = 0) + - geom_hline(yintercept = 0) + - scale_x_continuous(breaks = 0:14) + - scale_y_continuous(breaks = -1:9) + - theme(panel.grid.minor = element_blank()) -``` - -] - ---- - -# Greek, Latin, and extra markings - -.box-inv-6[Statistics: use a sample to make inferences about a population] - --- - -.pull-left[ -.box-6[Greek] - -Letters like $\beta_1$ are the ***truth*** - -Letters with extra markings like $\hat{\beta_1}$ are our ***estimate*** of the truth based on our sample -] - --- - -.pull-right[ -.box-6[Latin] - -Letters like $X$ are ***actual data*** from our sample - -Letters with extra markings like $\bar{X}$ are ***calculations*** from our sample -] - ---- - -# Estimating truth - -.box-inv-6.sp-after[Data → Calculation → Estimate → Truth] - --- - -.pull-left[ - - - - - - - - - - - - - - - - - -
    Data\(X\)
    Calculation \(\bar{X} = \frac{\sum{X}}{N}\)
    Estimate\(\hat{\mu}\)
    Truth\(\mu\)
    -] - --- - -.pull-right[ -$$ -\bar{X} = \hat{\mu} -$$ - -$$ -X \rightarrow \bar{X} \rightarrow \hat{\mu} \xrightarrow{\text{🤞 hopefully 🤞}} \mu -$$ -] - ---- - -# Drawing lines with stats - -$$ -\hat{y} = \hat{\beta_0} + \hat{\beta_1} x_1 + \varepsilon -$$ - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    \(y\)\(\hat{y}\) Outcome variable (DV)
    \(x\)\(x_1\) Explanatory variable (IV)
    \(m\)\(\hat{\beta_1}\) Slope
    \(b\)\(\hat{\beta_0}\) y-intercept
       \(\varepsilon\)  Error (residuals)
    - -.box-inv-6.smaller[(most of the time we can get rid of markings on Greek and just use β)] - ---- - -# Modeling cookies and happiness - -.pull-left[ -$$ -\hat{y} = \beta_0 + \beta_1 x_1 + \varepsilon -$$ -  - -$$ -\begin{aligned} -&\widehat{\text{happiness}} = \\ -&\beta_0 + \beta_1 \text{cookies} + \varepsilon -\end{aligned} -$$ - -] - -.pull-right[ - -```{r cookies-happiness-again, echo=FALSE, fig.dim=c(4.8, 4.2), out.width="100%"} -cookies_base + - geom_smooth(method = "lm", color = "#0074D9") + - coord_cartesian(xlim = c(0, 10), ylim = c(0, 4)) -``` - -] - ---- - -# Building models in R - -```{r model-template, eval=FALSE} -name_of_model <- lm( ~ , data = ) - -summary(name_of_model) # See model details -``` - --- - -```{r broom examples, eval=FALSE} -library(broom) - -# Convert model results to a data frame for plotting -tidy(name_of_model) - -# Convert model diagnostics to a data frame -glance(name_of_model) -``` - ---- - -# Modeling cookies and happiness - -.pull-left[ -$$ -\begin{aligned} -&\widehat{\text{happiness}} = \\ -&\beta_0 + \beta_1 \text{cookies} + \varepsilon -\end{aligned} -$$ - -```{r build-cookie-model} -happiness_model <- - lm(happiness ~ cookies, - data = cookies_data) -``` - -] - -.pull-right[ -![](`r knitr::fig_chunk("cookies-happiness-again", "png")`) -] - ---- - -# Modeling cookies and happiness - -.small-code[ -```{r tidy-cookie-model} -tidy(happiness_model, conf.int = TRUE) -``` -] - --- - -.small-code[ -```{r glance-cookie-model} -glance(happiness_model) -``` -] - ---- - -# Translating results to math - -.pull-left[ - -.small-code[ -```{r tidy-cookie-model-small, echo=FALSE} -tidy(happiness_model, conf.int = TRUE) %>% - select(term, estimate) -``` -] - -.small[ -$$ -\begin{aligned} -&\widehat{\text{happiness}} = \\ -&\beta_0 + \beta_1 \text{cookies} + \varepsilon -\end{aligned} -$$ - -$$ -\begin{aligned} -&\widehat{\text{happiness}} = \\ -&1.1 + 0.16 \times \text{cookies} + \varepsilon -\end{aligned} -$$ -] -] - -.pull-right[ -![](`r knitr::fig_chunk("cookies-happiness-again", "png")`) -] - ---- - -# Template for single variables - -.box-inv-6.medium[A one unit increase in X is *associated* with
    a β1 increase (or decrease) in Y, on average] - -$$ -\widehat{\text{happiness}} = \beta_0 + \beta_1 \text{cookies} + \varepsilon -$$ - -$$ -\widehat{\text{happiness}} = 1.1 + 0.16 \times \text{cookies} + \varepsilon -$$ - ---- - -# Multiple regression - -.box-inv-6[We're not limited to just one explanatory variable!] - --- - -$$ -\hat{y} = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \cdots + \beta_n x_n + \varepsilon -$$ - -  - --- - -```{r build-car-model-big} -car_model <- lm(hwy ~ displ + cyl + drv, - data = mpg) -``` - -$$ -\widehat{\text{hwy}} = \beta_0 + \beta_1 \text{displ} + \beta_2 \text{cyl} + \beta_3 \text{drv:f} + \beta_4 \text{drv:r} + \varepsilon -$$ - ---- - -# Modeling lots of things and MPG - -.small-code[ -```{r tidy-car-model-big} -tidy(car_model, conf.int = TRUE) -``` -] - --- - -$$ -\begin{aligned} -\widehat{\text{hwy}} =&\ 33.1 + (-1.12) \times \text{displ} + (-1.45) \times \text{cyl} \ + \\ -&(5.04) \times \text{drv:f} + (4.89) \times \text{drv:r} + \varepsilon -\end{aligned} -$$ - ---- - -# Sliders and switches - -.center[ -
    - Switch and slider -
    -] - ---- - -# Sliders and switches - -.center[ -
    - Switch and slider -
    -] - ---- - -# Filtering out variation - -.box-inv-6.medium.sp-after[Each **X** in the model explains
    some portion of the variation in **Y**] - --- - -.box-6[Interpretation is a little trickier,
    since you can only ever move
    **one** switch or slider at at time] - ---- - -# Template for continuous variables - -.box-inv-6[*Holding everything else constant*, a one unit increase in **X** is *associated* with a βn increase (or decrease) in **Y**, on average] - -$$ -\begin{aligned} -\widehat{\text{hwy}} =&\ 33.1 + (-1.12) \times \text{displ} + (-1.45) \times \text{cyl} \ + \\ -&(5.04) \times \text{drv:f} + (4.89) \times \text{drv:r} + \varepsilon -\end{aligned} -$$ - --- - -.box-6.small[On average, a one unit increase in cylinders is associated with
    1.45 lower highway MPG, holding everything else constant] - ---- - -# Template for categorical variables - -.box-inv-6[*Holding everything else constant*, **Y** is βn units larger (or smaller) in **X**n, compared to **X**omitted, on average] - -$$ -\begin{aligned} -\widehat{\text{hwy}} =&\ 33.1 + (-1.12) \times \text{displ} + (-1.45) \times \text{cyl} \ + \\ -&(5.04) \times \text{drv:f} + (4.89) \times \text{drv:r} + \varepsilon -\end{aligned} -$$ - --- - -.box-6[On average, front-wheel drive cars have 5.04 higher highway MPG than 4-wheel-drive cars, holding everything else constant] - ---- - -# Economists and Greek letters - -.box-inv-6[Economists like to assign all sorts of Greek letters
    to their different coefficients] - -$$ -Y_i = \alpha + \beta P_i + \gamma A_i + e_i -$$ - -.box-inv-6.tiny[Equation 2.1 on p. 57 in *Mastering 'Metrics*] - -.box-6.smaller[*i* = an individual] - -.box-6.smaller[α ("alpha") = intercept] - -.box-6.smaller[β ("beta") = coefficient just for *treatment*, or the causal effect] - -.box-6.smaller[γ ("gamma") = coefficient for the *identifying variable*
    (being in Group A or not)] - ---- - -# Economists and Greek letters - -$$ -\ln Y_i = \alpha + \beta P_i + \gamma A_i + \delta_1 \text{SAT}_i + \delta_2 \text{PI}_i + e_i -$$ - -.box-inv-6.tiny[Equation 2.2 on p. 61 in *Mastering 'Metrics*] - -.box-6.small[*i* = an individual] - -.box-6.small[α ("alpha") = intercept] - -.box-6.small[β ("beta") = coefficient just for *treatment*, or the causal effect] - -.box-6.small[γ ("gamma") = coefficient for the *identifying variable*
    (being in Group A or not)] - -.box-6.small[δ ("delta") = coefficient for *control variables*] - ---- - -# These are all the same thing! - -$$ -\ln Y_i = \alpha + \beta P_i + \gamma A_i + \delta_1 \text{SAT}_i + \delta_2 \text{PI}_i + e_i -$$ - -$$ -\ln Y_i = \beta_0 + \beta_1 P_i + \beta_2 A_i + \beta_3 \text{SAT}_i + \beta_4 \text{PI}_i + e_i -$$ -```{r eval=FALSE} -lm(log(income) ~ private + group_a + sat + parental_income, - data = income_data) -``` - --- - -.box-inv-6[(I personally like the all-β version instead of using like the entire Greek alphabet, but you'll see both varieties in the real world)] - ---- - -layout: false -name: significance -class: center middle section-title section-title-5 animated fadeIn - -# Null worlds and
    statistical significance - ---- - -layout: true -class: title title-5 - ---- - -# "hopefully" - -.box-inv-5.medium[How do we know if our estimate is the truth?] - -$$ -X \rightarrow \bar{X} \rightarrow \hat{\mu} \xrightarrow{\text{🤞 hopefully 🤞}} \mu -$$ - ---- - -layout: false - -```{r process-imdb-data, include=FALSE} -library(ggplot2movies) # Lots of movies from IMDB - -# Clean up data -set.seed(1234) # Set seed so we get the same sampled rows every time -movie_data <- movies %>% - # Make a binary column for genre - select(title, year, rating, Action, Comedy) %>% - filter(!(Action == 1 & Comedy == 1)) %>% - mutate(genre = case_when(Action == 1 ~ "Action", - Comedy == 1 ~ "Comedy", - TRUE ~ "Neither")) %>% - filter(genre != "Neither") %>% - # Make genre a factor - mutate(genre = factor(genre)) %>% - select(-Action, -Comedy) %>% - # Randomly select 200 movies in each genre - group_by(genre) %>% - sample_n(200) %>% - ungroup() -``` - -.box-inv-5.medium.sp-after[Are action movies rated higher than comedies?] - - - - - - - - - - - - - - - - - - - - - - -
    DataIMDB ratings\(D\)
    Calculation Average action rating − average comedy rating\(\bar{D} = \frac{\sum{D}_\text{Action}}{N} - \frac{\sum{D}_\text{Comedy}}{N}\)
    Estimate\(\bar{D}\) in a sample of movies\(\hat{\delta}\)
    TruthDifference in rating for all movies\(\delta\)
    - ---- - -.left-code[ -```{r show-movies} -head(movie_data) -``` -] - --- - -.right-code[ -```{r movie-diffs} -movie_data %>% - group_by(genre) %>% - summarize(avg_rating = mean(rating)) -``` - -$$ -\hat{\delta} = \bar{D} = 5.41 - 5.84 = 0.43 -$$ -.box-5[Is the true δ 0.43?] -] - ---- - -layout: true -class: title title-5 - ---- - -# Null worlds - --- - -.box-inv-5.medium[What would the world look like
    if the true δ was really 0?] - --- - -.box-5[Action movies and comedies wouldn't all have the same rating, but on average there'd be no difference] - ---- - -# Simulated null world - -.box-inv-5[Shuffle the `rating` and `genre` columns
    and calculate the difference in ratings across genres] - --- - -.box-inv-5[Do that ↑ 5,000 times] - --- - -.center[ -```{r plot-null, echo=FALSE, fig.dim=c(4.8, 2.7), out.width="50%"} -library(infer) -set.seed(1234) - -genre_diffs_null <- movie_data %>% - specify(rating ~ genre) %>% - hypothesize(null = "independence") %>% - generate(reps = 5000, type = "permute") %>% - calculate("diff in means", order = c("Action", "Comedy")) - -genre_diffs_null %>% - visualize() + - # geom_vline(xintercept = -0.43, size = 1, color = "#77002c") + - labs(x = "Simulated difference in average ratings (Action − Comedy)", - y = "Count", title = NULL) -``` -] - ---- - -# Check δ in the null world - -.box-inv-5[Does the δ we observed fit well in the world where it's actually 0?] - -.center[ -```{r plot-null-delta, echo=FALSE, fig.dim=c(4.8, 2.7), out.width="50%"} -genre_diffs_null %>% - visualize() + - geom_vline(xintercept = -0.43, size = 1, color = "#FF4136") + - labs(x = "Simulated difference in average ratings (Action − Comedy)", - y = "Count", title = NULL) -``` -] - --- - -.box-5[That seems fairly rare for a null world!] - ---- - -# How likely is that δ in the null world? - -```{r get-p-value, echo=FALSE} -find_p_value <- genre_diffs_null %>% - get_p_value(obs_stat = -0.43, direction = "both") %>% - mutate(p_value_clean = scales::pvalue(p_value)) -``` - -.pull-left[ -![](`r knitr::fig_chunk("plot-null-delta", "png")`) -] - -.pull-right[ -.box-inv-5[What's the chance that we'd see that red line in a world where there's no difference?] - -.box-5[p = `r find_p_value$p_value_clean`] - -.box-5[That's really really low!] -] - ---- - -# p-values - -.box-inv-5[That `r find_p_value$p_value_clean` is a p-value] - --- - -.box-inv-5.sp-after[p-value = probability of seeing something
    in a world where the effect is 0] - --- - -.box-5[The δ we measured doesn't fit well
    in the null world, so it's most likely not 0] - --- - -.box-5[We can safely say that there's a difference between the two groups. Action movies are rated lower, on average, than comedies] - ---- - -# Significance - -.box-inv-5.sp-after[If p < 0.05, there's a good chance
    the estimate is not zero and is "real"] - --- - -.box-5[If p > 0.05, we can't say anything] - --- - -.box-5[That doesn't mean that there's no effect!
    It just means we can't tell if there is.] - ---- - -# No need for all that simulation - -.box-inv-5.small[This simulation stuff is helpful for the intuition behind a p-value,
    but you can also just interpret p-values in the wild] - --- - -.small-code[ -```{r regular-t-test} -t.test(rating ~ genre, data = movie_data) -``` -] - - ---- - -# Slopes and coefficients - -.box-inv-5[You can find a p-value for any Greek letter estimate,
    like β from a regression] - --- - -$$ -\hat{\beta} \xrightarrow{\text{🤞 hopefully 🤞}} \beta -$$ - --- - -.box-5[In a null world, the slope (β) would be zero] - --- - -.box-5[p-value shows us if β=hat would fit in a world where β is zero] - ---- - -# Regression and p-values - -.small-code[ -```{r tidy-car-model-big-again} -tidy(car_model, conf.int = TRUE) -``` -] diff --git a/slides/02_bases_files/figure-html/unnamed-chunk-1-1.png b/slides/02_bases_files/figure-html/unnamed-chunk-1-1.png new file mode 100644 index 00000000..aef6eda9 Binary files /dev/null and b/slides/02_bases_files/figure-html/unnamed-chunk-1-1.png differ diff --git a/slides/02_bases_files/figure-html/unnamed-chunk-2-1.png b/slides/02_bases_files/figure-html/unnamed-chunk-2-1.png new file mode 100644 index 00000000..458771c9 Binary files /dev/null and b/slides/02_bases_files/figure-html/unnamed-chunk-2-1.png differ diff --git a/slides/02_bases_files/figure-html/unnamed-chunk-4-1.png b/slides/02_bases_files/figure-html/unnamed-chunk-4-1.png new file mode 100644 index 00000000..1bf0b7b4 Binary files /dev/null and b/slides/02_bases_files/figure-html/unnamed-chunk-4-1.png differ diff --git a/slides/02_bases_files/figure-html/unnamed-chunk-5-1.png b/slides/02_bases_files/figure-html/unnamed-chunk-5-1.png new file mode 100644 index 00000000..1bf0b7b4 Binary files /dev/null and b/slides/02_bases_files/figure-html/unnamed-chunk-5-1.png differ diff --git a/slides/02_inferencia1.Rmd b/slides/02_inferencia1.Rmd new file mode 100644 index 00000000..bbd303fd --- /dev/null +++ b/slides/02_inferencia1.Rmd @@ -0,0 +1,656 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2024" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: github + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +require("knitr") +options(htmltools.dir.version = FALSE) +pacman::p_load(RefManageR) +# bib <- ReadBib("../../bib/electivomultinivel.bib", check = FALSE) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .curso[Inferencia 1:] +## .black[Datos, probabilidad y distribuciones muestrales]] +] +] +--- + +layout: true +class: animated, fadeIn + +--- +class: inverse + +## **.orange[Objetivos de la sesión de hoy]** +
    + +### 1. Recordar y nivelar aprendizajes previos a este curso, fundamentalmente respecto al manejo de datos, medición y varianza + +### 2. Introducción a probablidad, distribuciones muestrales e inferencia + + +--- +class: inverse right + +.pull-left-narrow[ + +] + +.pull-right-wide[ +# .black[Contenidos] + +
    +
    + +## Bases + +## Probabilidad e inferencia +] + +--- +class: inverse right + +.pull-left-narrow[ + +] + +.pull-right-wide[ +# .black[Contenidos] + +
    +
    + +## .yellow[Bases] + +## Probabilidad e inferencia +] + + +--- +# Datos + +* Los datos son una expresión numérica de la medición de al menos una .roja[*característica*] de a lo menos una .roja[*unidad*] en a lo menos .roja[*un punto en el tiempo*] + +-- + + Ejemplo: La esperanza de vida en Chile el 2017 fue de 79,9 años + + - Característica (variable) : esperanza de vida + + - Unidad: Años + + - Punto en el tiempo: 2017 + +--- +# Medir + +.pull-left[ +- “asignar números, símbolos o valores a las propiedades de objetos o eventos de acuerdo con reglas” (Stevens, 1951) + +- Vincula conceptos abstractos con indicadores empíricos +] + +.pull-right[ +![:scale 100%](https://estrategias-ic.netlify.app/docpres/03_operac/images/numeros.png) +] +--- +# Medir: requisitos básicos + +
    + +- **Exhaustividad**: el mayor número de categorías significativas. + - Ej: ¿Qué categorías se deben considerar para población migrante? + +- **Exclusividad**: atributos mutuamente excluyentes + + +--- +## Ejemplos de estudios / bases de datos + +1. [Encuesta Centro de Estudios Públicos](https://www.cepchile.cl/cep/site/edic/base/port/encuestacep.html) + +2. [Encuesta CASEN](http://observatorio.ministeriodesarrollosocial.gob.cl/casen-multidimensional/casen/casen_2017.php) + +3. [Encuesta Lapop](https://www.vanderbilt.edu/lapop-espanol/) + +4. [ELSOC](https://coes.cl/encuesta-panel/) + +--- +# Variables + +- Una variable representa cualquier cosa o propiedad que varia y a la cuál se le asigna un valor. Es decir: + +- $Variable \neq Constante$ + +- Pueden ser visibles o no visibles/latentes. (Ej: peso / inteligencia) + +--- +## Variables + +- discretas (Rango finito de valores): + + - Dicotómicas + - Politómicas + +- continuas: + + - Rango (teóricamente) infinito de valores. + +--- +# Tendencia Central + +Descripción básica de una variable: + +* **Moda**: valor que ocurre más frecuentemente + +* **Mediana**: valor medio de la distribución ordenada. Si N es par, entonces es el promedio de los valores medios + +* **Media** o promedio aritmético: suma de los valores dividido por el total de casos + +--- +class: inverse middle center + +Pregunta de tendencia central: + +# ¿Puede la mayoría ganar menos ingresos que el promedio? + +--- +.pull-left-narrow[ +# Dispersión: +## Varianza +] + +.pull-right-wide[ + +![:scale 100%](img/varianza1.png) +] + +--- +.pull-left-narrow[ +# Dispersión: +## Varianza +] + +.pull-right-wide[ + +![:scale 100%](img/varianza3.png) +] + + + +--- +.pull-left-narrow[ +# Dispersión: +## Varianza +] + +.pull-right-wide[ + +![:scale 100%](img/varianza2.png) +] + +--- +# Dispersión: + +![:scale 100%](img/varianza_formula.png) + +--- +class: inverse, middle, center + +#La VARIANZA equivale al promedio de la suma de las diferencias del promedio al cuadrado + +--- +class: middle + + +.pull-left[ +# Desviación Estándar +
    +![:scale 120%](img/desviacion_estandar.png) +] + +.pull-right[ + - Raiz Cuadrada de la varianza. + + + - Expresada en la mismas unidades que los puntajes de la escala original +] + +--- +class: inverse right + +.pull-left-narrow[ + +] + +.pull-right-wide[ +# .black[Contenidos] + +
    +
    + +## Bases + +## .yellow[Probabilidad e inferencia] +] + + +--- +# Inferencia: la otra parte del análisis + +Cuando se analizan datos, 2 cosas principales + +.pull-left[ +.content-box-yellow[ +- cálculo del estadístico: + + - promedio + + - desviación estándar + + - correlación + + - ... +] +] + +.pull-right[ +.content-box-red[ +- inferencia: ¿existe este estadístico en la población? + + - probabilidad + + - error + + - significación + +] +] +--- + + +![:scale 50%](https://multivariada.netlify.app/slides/images/cafe.png) + + + +--- + +.pull-left-narrow[ +# Inferencia +] + + +.pull-right-wide[ +¿En qué medida se pueden relacionar resultados que se encuentran en un .green[(sub)conjunto de unidades] con lo que ocurre .red[en general]?] + +-- + +.pull-right-wide[ +Ej: si en un subconjunto de la población encuentro que el promedio de matemáticas es mayor en mujeres que en hombres ¿es esto un .orange[reflejo] de lo que ocurre en general, o se debe solo al .red[azar]? ¿se puede .green[extrapolar] a la poblacion? +] + +??? + +mapa y territorio, Borges +lidiando con el caos y la incertidumbre +la domesticación de la casualidad +error + +--- +background-image: url("https://images.rawpixel.com/image_800/cHJpdmF0ZS9sci9pbWFnZXMvd2Vic2l0ZS8yMDIyLTEyL3JtNjE0LWotYmctMDA4LmpwZw.jpg") +background-size: cover + + +.medium[En aquel Imperio, el Arte de la Cartografía logró tal Perfección que el mapa de una sola Provincia ocupaba toda una Ciudad, y el mapa del Imperio, toda una Provincia. Con el tiempo, estos Mapas Desmesurados no satisficieron y los Colegios de Cartógrafos levantaron un Mapa del Imperio, que tenía el tamaño del Imperio y coincidía puntualmente con él. + +Menos Adictas al Estudio de la Cartografía, las Generaciones Siguientes entendieron que ese dilatado Mapa era Inútil y no sin Impiedad lo entregaron a las Inclemencias del Sol y los Inviernos. En los desiertos del Oeste perduran despedazadas Ruinas del Mapa, habitadas por Animales y por Mendigos; en todo el País no hay otra reliquia de las Disciplinas Geográficas.] + +.small[Suárez Miranda, Viajes de Varones Prudentes, Libro Cuarto, Cap. XLV, Lérida, 1658.] + +-- + +.right[Borges - Del Rigor de la Ciencia] + + +--- +.pull-left-narrow[ + +![](https://multivariada.netlify.app/slides/images/inference1.png) +] +.pull-right-wide[ + +## Conceptos claves de inferencia +- La **inferencia** en estadística se refiere a la relación que existe entre los resultados obtenidos basados en nuestra muestra y la población + +{{content}} + +] + +-- + +- **¿En qué medida podemos hacer inferencias desde nuestra muestra a la población?** + +{{content}} + +-- + +- Un concepto central es la probabilidad de **ERROR** + + +--- +# Parámetros y estadísticos + +---- + +| | Población (parámetro) | Muestra (estadístico) | +|--------------------- |------------ |--------- | +| Promedio | $\mu$ | $\bar{x}$ | +| Varianza | $\sigma²$ | $s²$ | +| Desviación estándar | $\sigma$ | $s$ | +| Correlación | $\rho$ | $r$ | + + +--- +# Muestreo y variabilidad + +¿Cómo es posible que la media x̄ obtenida a partir de una muestra de unos pocos hogares de todos los del país, pueda ser una estimación precisa de µ? + +Una segunda muestra aleatoria obtenida en el mismo momento estaría +formada por hogares distintos y, sin duda, daría un valor distinto de x̄ + +--- +# Muestreo y variabilidad + +**Variabilidad muestral**: el valor de un estadístico varía en un muestreo aleatorio repetido + +¿Cuánto varía? + +¿En qué rangos? + +¿Qué tan **probable** es el rango de variación? + +¿Es un rango aceptable en términos de investigación social? + +--- +.center[ +![:scale 70%](img/karatekid.jpg) +] + +--- +# Aleatoriedad y probabilidad +---- + +.pull-left[ +.content-box-red[ +Llamamos a un fenómeno **aleatorio** si los resultados individuales son inciertos y, sin embargo, existe una **distribución regular** de los resultados después de un gran número de repeticiones.] +] + +-- + +.pull-right[ +.content-box-green[ +La probabilidad de cualquier resultado de un fenómeno aleatorio es la **proporción de veces** que el resultado se da después de una larga serie de +repeticiones + +]] + +--- + + +.pull-left-narrow[ +# Azar y repetición +El comportamiento del azar es impredecible con pocas repeticiones pero presenta un comportamiento regular y predecible con muchas repeticiones. +] + +.pull-right-wide[ +![](img/caras-moneda.png) +] +--- +class: middle + +# (Dato freak) + +.pull-left[ +Cerca del año 1900, el estadístico inglés Karl Pearson lanzó al aire una moneda **24.000** veces. El resultado: 12.012 caras, una proporción de 0,5005.] + +.pull-right[ +![](img/pearson.png) + +] + + +--- +# Dados + +Tenemos 1 dado, cuál es la probabilidad de que salga 3 al lanzarlo? + +- Espacio muestral S= conjunto de todos los resultados posibles + +$$S=\{1,2,3,4,5,6\}$$ + +- N del espacio muestral= 6 sucesos posibles + +- Probabilidad de que salga 3 al tirar el dado= +$\frac{1}{6}=0.166$ + +--- +class: inverse right + +###Un **.yellow[modelo de probabilidad]** para un fenómeno aleatorio consiste en un espacio muestral .black[S] y una asignación de probabilidades .black[P]. + +-- + +### El **.yellow[espacio muestral .black[S] ]** es el conjunto de todos los resultados posibles de un fenómeno aleatorio. + +-- + +### Un **.yellow[suceso]** es un conjunto de resultados. .black[P] asigna un número .black[P(A)] a un suceso .black[A] como su probabilidad. + +--- +# Reglas modelo de probabilidad + +![](img/reg_prob.png) + + +--- + +# [Dados, probabilidades y distribuciones](https://academo.org/demos/dice-roll-statistics/) + +---- +.pull-left[ +![](img/dice.png) +] + +.pull-right[ +Ejercicio: + + - probar lanzando 1 dado repetidas veces + + - probar con 2 dados + + - ... y con 6 + +-> [link](https://academo.org/demos/dice-roll-statistics/) +] + +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas1.png) +] +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas2.png) +] +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas3.png) +] +--- +# Dados, probabilidades y áreas + +.pull-left[ +![](img/areas4.png) +] + +.pull-right[ +
    + Eventos posibles (espacio muestral S) = 6 = (1,2,3,4,5,6) + + +\begin{align*} +P(x)\geq4&=P(4)+P(5)+P(6) \\ +&=0.1\overline{6}+0.1\overline{6}+0.1\overline{6} \\ +&=0.5 +\end{align*} +] + +--- +# Sucesos con distinta probabilidad + +Ej: suma de 2 dados al azar repetidos +.center[ +![](img/2dice.png) +] + +--- +# Distribución muestral del promedio + +- si extraemos repetidamente 2 dados, y obtenemos su **promedio**, el gráfico de frecuencias tenderá a una forma acampanada + +- esto ocurre simplemente porque la probabilidad de valores extremos (como promedio 1 o promedio 6) es mucho menor que la de obtener valores centrales + +- por lo tanto, podemos aproximarnos al promedio de la población mediante el **promedio de los promedios** de muchas muestras + +--- +class: inverse middle center + +ahora ... + +# ¿Cómo estimar el promedio de los promedios .yellow[con una sola muestra]? + +# `r emo::ji("thinking")` + +--- +class: inverse + +# .yellow[Próxima clase] + +## -> Error estándar y distribución normal ... o cómo estimar el promedio de los promedios con una sola muestra + +--- +# Y tarea: + +.pre[ +```{r eval=FALSE} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(dado1, dado2, suma, promedio) + +# Mostrar el data frame +print(resultados) + + +# Cargar la librería para gráficos +library(ggplot2) + +# Gráfico de frecuencias para la suma +ggplot(resultados, aes(x = suma)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia") + +# Gráfico de frecuencias para los promedios +ggplot(resultados, aes(x = promedio)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia") + + + + +``` +] + + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + + + + + + diff --git a/slides/02_inferencia1.html b/slides/02_inferencia1.html new file mode 100644 index 00000000..ac591802 --- /dev/null +++ b/slides/02_inferencia1.html @@ -0,0 +1,806 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/03-class.Rmd b/slides/03-class.Rmd deleted file mode 100644 index 0385d11f..00000000 --- a/slides/03-class.Rmd +++ /dev/null @@ -1,537 +0,0 @@ ---- -title: "Class 3: Regression and logic models" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 3 - -.class-info[ - -**January 26, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-1.medium[Logic models] - --- - -.box-6.medium[R FAQs] - --- - -.box-5.medium[Regression FAQs] - --- - -.box-2.medium[Transforming data with **dplyr**] - --- - -.box-4.medium[Regression with R] - ---- - -layout: false -name: logic-models -class: center middle section-title section-title-1 animated fadeIn - -# Logic models - ---- - -layout: true -class: middle - ---- - -.box-1.large[Logic models as managerial tools] - ---- - -.box-1.large[Inputs vs. Activities vs.
    Outputs vs. Outcomes] - ---- - -.box-1.large[Impact theory vs. logic model] - ---- - -layout: false -class: title title-1 - -# Impact theory - -.box-inv-1[Ensure that the theory linking activities to the outcomes is sound!] - -.center[ -
    - PSD impact theory -
    -] - ---- - -.center[ -
    - PSD logic model -
    -] - ---- - -layout: false -class: title title-1 - -# MPA/MPP at GSU - -.pull-left[ -
    - MPP mission -
    -] - -.pull-right[ -
    - MPA mission -
    -] - -??? - -Inputs: - -- Students -- Curriculum -- Money (grants, tuition) -- AYSPS itself -- Faculty, staff -- Technology (iCollege, PAWS) -- Infrastructure -- Transportation -- State regulations -- National accreditation standards -- Faculty research - -Activities: - -- Classes -- Group work -- Exams -- Internships -- Job fairs -- Commencement -- Studying -- Tutoring -- Office hours -- Advising -- Attendance - -Outputs: - -- Assignments and projects -- Grades -- Degree -- Jobs -- Awards -- Network -- Debt - -Outcomes: - -- Leadership -- AYS national ranking -- Public service motivation -- Critical thinking -- Efficient workforce -- Income -- Better society - ---- - -layout: true -class: middle - ---- - -.box-1.medium[Isn't it best to always
    have an articulated theory?] - -.box-1.medium[Should implicit theory and articulated theory
    be the same thing in most cases?] - ---- - -.box-1.medium[How much does this evaluation stuff cost?] - -.box-1.medium[Can you do scaled-down versions
    of these evaluations?] - ---- - -.box-1.medium[What if a program exists already
    and doesn't have a logic model?] - ---- - -.box-1.medium[Why would a program aim for final outcomes
    that can't be measured?] - ---- - -.box-1.medium[What should you do if you find that your
    theory of change (or logic model in general)
    is wrong in the middle of the program?
    Is it ethical to stop or readjust?] - ---- - -layout: false -name: r-faqs -class: center middle section-title section-title-6 animated fadeIn - -# R FAQs - ---- - -class: title title-6 - -# Main goals with R - --- - -.box-inv-6.medium[Manipulate data] - --- - -.box-inv-6.medium[Plot data] - --- - -.box-inv-6.medium[Analyze data with regression models] - ---- - -layout: true -class: middle - ---- - -.box-6.large[How to find R help online] - --- - -.box-inv-6[RStudio Community] - --- - -.box-inv-6[Stack Overflow] - --- - -.box-inv-6[Google .small[("rstats")]] - --- - -.box-inv-6[Twitter/Mastodon .small[(#rstats)]] - --- - -.box-inv-6[ChatGPT .small[(overconfident glorified autocomplete)]] - ---- - -.box-6.large[What the heck is a tibble?] - ---- - -.box-6.large[RStudio fun] - ---- - -.box-6.large[File paths, working directories,
    and RStudio projects] - -??? - -- -- Working directories and RStudio projects - ---- - -.box-6.large[The hyperliterality of computers] - ---- - -.box-6.large[R Markdown fun] - -??? - -- Visual markdown editor -- Markdown metadata and outputs, figure sizes -- Show final Rmd products. Explanatory, like blog post code through or a problem set vs. stand-alone research paper - ---- - -class: middle - -.box-6.large[Side-by-side regression tables] - ---- - -```{r echo=FALSE, warning=FALSE} -model1 <- lm(body_mass_g ~ bill_length_mm, data = penguins) -model2 <- lm(body_mass_g ~ flipper_length_mm, data = penguins) -model3 <- lm(body_mass_g ~ bill_length_mm + flipper_length_mm, data = penguins) -model4 <- lm(body_mass_g ~ bill_length_mm + flipper_length_mm + sex, data = penguins) - -modelsummary(list(model1, model2, model3, model4), - table.attr = "style=\'font-size:0.5em;\'", - stars = TRUE, - output = "kableExtra") -``` - ---- - -```{r echo=FALSE} -modelsummary(list(model1, model2, model3, model4), - stars = TRUE, - output = "kableExtra") -``` - ---- - -class: middle - -.box-6.large[See full documentation and
    examples for `modelsummary()` [here](https://vincentarelbundock.github.io/modelsummary/articles/modelsummary.html)] - ---- - -layout: true -class: middle - ---- - -.box-6.large[Make nicer tables when
    knitting with `kable()`] - -.box-inv-6[(Or even fancier tables with [kableExtra](https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html)!)] - - ---- - -layout: false -name: regression-faqs -class: center middle section-title section-title-5 animated fadeIn - -# Regression FAQs - ---- - -layout: true -class: middle - ---- - -.box-5.large.sp-after[Drawing lines through points] - --- - -.center.sp-after[] - --- - -.box-5[Locally estimated/weighted scatterplot smoothing (LOESS/LOWESS)
    is a common method (but not the only one!)] - ---- - -.center[ - -] - ---- - -.box-5.large[Regression equations] - -.box-inv-5[And is the intercept ever useful,
    or should we always ignore it?] - -??? - - - - - ---- - -.box-5.medium[What does it mean to
    hold something constant?] - -.box-5.medium[Why is one category always left out
    when you use a categorical variable?] - ---- - -.center[ -
    - Single slider and switch -
    -] - ---- - -.center[ -
    - Mixer board -
    -] - ---- - -.box-5.medium.sp-after[Why use two steps to create a regression in R?
    (i.e. assigning it to an object with `<-`?)] - -.box-5.medium[Why use `tidy()`
    from the broom package?] - -??? - -Show model with `lm()`; show t-test with `t.test()`; show both through `tidy()` - -Use **marginaleffects** - ---- - -.box-5.medium[How was the 0.05 significance
    threshold determined?] - -.box-5.medium[Could we say something is significant
    if p > 0.05, but just note that it is at
    a higher p-value?
    Or does it have to fall under 0.05?] - ---- - -.box-5.large[Why all this convoluted
    logic of null worlds?] - ---- - -layout: false -class: title title-5 - -# Different "dialects" of statistics - -.pull-left[ -.box-5.medium[Frequentist] - -$$P(\text{data} \mid H_0)$$ - -.box-inv-5["Regular" statistics;
    what you've learned
    (and are learning here)] - -] - --- - -.pull-right[ -.box-5.medium[Bayesian] - -$$P(H \mid \text{data})$$ - -.box-inv-5[Requires lots of
    computational power] - -] - ---- - -layout: true -class: middle - ---- - -.box-5.medium[Do we care about the actual coefficients
    or just whether or not they're significant?] - -.box-5.medium[How does significance relate to causation?] - -.box-5.medium[If we can't use statistics to assert causation
    how are we going to use this information
    in program evaluation?] - ---- - -.box-5.large[What counts as a "good" R²?] - ---- - -.center[ -
    - Euler diagram -
    -] - ---- - -.center[ -
    - R2 prediction -
    -] - ---- - -.center[ -
    - R2 estimation -
    -] - ---- - -.center[ -
    - R2 estimation vs prediction -
    -] - ---- - -layout: false -name: dplyr -class: center middle section-title section-title-2 animated fadeIn - -# Transforming
    data with dplyr - ---- - -layout: false -name: regression -class: center middle section-title section-title-4 animated fadeIn - -# Regression with R diff --git a/slides/03-inferencia2.Rmd b/slides/03-inferencia2.Rmd new file mode 100644 index 00000000..cef58b72 --- /dev/null +++ b/slides/03-inferencia2.Rmd @@ -0,0 +1,865 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2024" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .gray[Sesión 3:] +## .curso[Inferencia 2: Error estándar y curva normal]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +# La tarea: + +.pre[ +```{r eval=FALSE} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(dado1, dado2, suma, promedio) + +# Mostrar el data frame +print(resultados) + + +# Cargar la librería para gráficos +library(ggplot2) + +# Gráfico de frecuencias para la suma +ggplot(resultados, aes(x = suma)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia") + +# Gráfico de frecuencias para los promedios +ggplot(resultados, aes(x = promedio)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia") + +``` +] + +--- + +.medium[ +.pull-left[ +```{r eval=FALSE} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(dado1, dado2, suma, promedio) + +# Mostrar el data frame +print(resultados) +``` +] + + +.pull-right[ +.pre[ +```{r echo=FALSE} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(dado1, dado2, suma, promedio) + +# Mostrar el data frame +print(resultados) +``` +] +] +] +--- + +.medium[ +.pull-left[ +```{r eval=FALSE} + +# Cargar la librería para gráficos +library(ggplot2) + +# Gráfico de frecuencias para la suma +ggplot(resultados, aes(x = suma)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia") + +# Gráfico de frecuencias para los promedios +ggplot(resultados, aes(x = promedio)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia") + +``` +] + +.pull-right[ +.pre[ +```{r echo=FALSE} +# Cargar la librería para gráficos +library(ggplot2) + +# Gráfico de frecuencias para la suma +ggplot(resultados, aes(x = suma)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de la Suma", x = "Suma", y = "Frecuencia") + +# Gráfico de frecuencias para los promedios +ggplot(resultados, aes(x = promedio)) + + geom_bar() + + labs(title = "Gráfico de Frecuencias de los Promedios", x = "Promedio", y = "Frecuencia") + +``` +] +] +] + +--- +# Probabilidad de promedio de 2 dados al azar + +```{r echo=FALSE} +# Generar todas las combinaciones posibles de dos dados +dado1 <- rep(1:6, each = 6) +dado2 <- rep(1:6, times = 6) + +# Calcular la suma y el promedio para cada combinación +suma <- dado1 + dado2 +promedio <- suma / 2 + +# Crear un data frame con los resultados +resultados <- data.frame(promedio) + +# Calcular las frecuencias de cada promedio +tabla_frecuencias <- table(resultados$promedio) + +# Calcular la probabilidad de ocurrencia de cada promedio +probabilidades <- tabla_frecuencias / sum(tabla_frecuencias) + +# Crear la tabla final con valores de promedios y sus probabilidades +tabla_final <- data.frame(Promedio = as.numeric(names(probabilidades)), + Probabilidad = as.numeric(probabilidades)) + +# Mostrar la tabla final +print(tabla_final) + +``` + + +--- +# ¿Qué aprendimos de esto? + +- la ocurrencia de algunos eventos (como la suma o promedio de dos dados) tienen una probabilidad determinada, lo que genera una **distribución teórica de probabilidad** + +-- + +- si repito un evento aleatorio (ej: sacar muestras repetidas de dos dados y promediarlos) obtengo la **distribución empírica de probabilidad** (de frecuencias de los eventos) + +-- + + +- de acuerdo a la **ley de los grandes números**, el promedio empírico convergerá al teórico a medida que aumenta el número de repeticiones + + +--- + +```{r echo=FALSE} +# Generación de gráficos de prob teóricas y empíricas +# Definimos los promedios posibles (1.5, 2, 2.5, ..., 5.5, 6) +promedios_posibles <- seq(1, 6, by = 0.5) + +# Calculamos la distribución de probabilidad teórica para cada promedio +# Las probabilidades corresponden a los valores de promedios específicos +probabilidades_teoricas <- c(1/36, 2/36, 3/36, 4/36, 5/36, 6/36, 5/36, 4/36, 3/36, 2/36, 1/36) + +# Graficamos la distribución de probabilidad teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + main = "Distribución de Probabilidad Teórica del Promedio de Dos Dados", + xlab = "Promedio de los Dados", + ylab = "Probabilidad Teórica", + ylim = c(0, 0.2), + col = "orange") + +teoric = recordPlot() +teoric + +# Repeticiones + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 100, replace = TRUE) +dados2 <- sample(1:6, 100, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (100 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, 0.2)) + +rep100_puro = recordPlot() + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white") + +rep100 =recordPlot() + + +# Rep 500 +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 500, replace = TRUE) +dados2 <- sample(1:6, 500, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (500 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, 0.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white") + +rep500 =recordPlot() + +# rep1500 + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 1500, replace = TRUE) +dados2 <- sample(1:6, 1500, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (1500 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, 0.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white") + +rep1500 =recordPlot() + +# rep 5000 + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 5000, replace = TRUE) +dados2 <- sample(1:6, 5000, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (5000 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim =c(0, 0.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white") + +rep5000 =recordPlot() + + +``` + +```{r echo=FALSE} +teoric +``` + +--- + +```{r echo=FALSE} +rep100_puro +``` + +--- + +```{r echo=FALSE} +rep100 +``` + +--- + +```{r echo=FALSE} +rep500 +``` + +--- + +```{r echo=FALSE} +rep1500 +``` +--- + +```{r echo=FALSE} +rep5000 +``` + +--- +# Muestra y distribución + +- Sabemos que si sacamos muchos promedios de eventos aleatorios estos se van a aproximar a una distribución teórica de probabilidad + +-- + +- ¿De qué nos sirve esta información si + + - ¿contamos sólo con un evento aleatorio o muestra de datos (ej: un promedio de dos dados)? + + - ¿no conocemos la distribución teórica? + +--- +class: inverse bottom right +# Curva normal: un modelo teórico de distribución conocido + +--- + +.pull-left[ +## Histograma +Frecuencias o probabilidad empírica de cada evento + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black') + +``` + +] + +.pull-right[ +## Curvas de densidad + +Modelo teórico/matemático de la distribución + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black')+ + stat_function(fun = dnorm, args = list(mean=mean(data$x), sd=sd(data$x))) + +``` +] + + +--- +# Curva de distribución + +- Una **curva de distribución** de frecuencias es un sustituto de un histograma de frecuencias donde reemplazamos estos gráficos con una curva _suavizada_ + +-- + +- Representa una función/generalización de cómo se distribuyen las puntuaciones en la población de manera teórica + +-- + +- Las puntuaciones se ordenan de izquierda (más bajo) a derecha (más alto) en el eje horizontal (x) + +-- + +- El área bajo la curva representa el 100% de los casos de la población + +--- +background-image: url(img/normal.png) +background-size: cover + +# Curva de distribución normal + +- Es una curva que representa la distribución de los casos de la población en torno al promedio y con una varianza conocida + +-- + +- Coinciden al centro el promedio, la mediana y la moda + +-- + +- Es simétrica y de forma acampanada + +-- + +- Establece áreas bajo la curva en base a desviaciones estándar del promedio + +--- +class: middle + +.pull-left-narrow[ +# ¿Por qué es importante la distribución normal en estadística? +] + +-- + +.pull-right-wide[ +.content-box-red[ + +- Permite **comparar** puntajes de distintas distribuciones en base a un mismo estándar (puntajes Z) + +- Permite estimar **proporciones** bajo la curva normal de cualquier valor de la distribución + +- **Base** de la distribución muestral del promedio, error estándar, e inferencia estadística en general +] +] + + + +--- +## Distribución normal, desviaciones estándar y áreas bajo la curva +.center[ +![:scale 75%](img/norm2.png) +] + + +--- +# Puntaje $z$ y estandarización + +- **Estandarización**: expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal + +- Permite comparar valores de distribuciones distíntas, ya que lleva los puntajes a un mismo **estándar** + +- Para obtener el valor estandarizado (**puntaje Z**) se le resta la media y se divide por la desviación estándar + + +$$z=\frac{x-\mu}{\sigma}$$ + +--- +# Ejemplo comparación distribuciones (Ritchey, p. 148) + +- Mary obtiene 26 puntos en la prueba académica ACT, que va de 0 a 36, con media=22 y sd=2 + +- Jason obtiene 900 puntos en la prueba SAT, que va de 200 a 1600, con media=1000 y sd=100 + +-- + +.content-box-red[ +.center[ +## ¿A quién le fue mejor? + +## ¿Cómo le fue específicamente a cada uno? +]] + +--- +## Comparando peras con manzanas: + +\begin{align*} +Z_{Mary}&=\frac{x-\mu}{\sigma}=\frac{26-22}{2}=2 \\ \\ +Z_{Jason}&=\frac{x-\mu}{\sigma}=\frac{900-1000}{100}=-1 +\end{align*} + +- $Z$ entrega un puntaje comparable en términos de desviaciones estándar respecto del promedio + +- Estos puntajes además pueden traducirse a la ubicación del puntaje en percentiles de la distribución normal +--- +# Proporciones +.pull-left[ +Asumiendo distribución normal, se puede obtener la proporción de casos bajo la curva normal que están sobre y bajo el puntaje Z +] + +.pull-right[ + +```{r echo=FALSE} +# import ggplot +library(ggplot2) + +# x-axis and y-axis for the pdf line +x <- seq(-4,4,0.01) +y <- dnorm(x) + +# x-axis and y-axis for shaded area +x_shaded<- seq(-4, 1, 0.01) +y_shaded <- c(dnorm(x_shaded),0) +x_shaded<-c(x_shaded,1) + +# plot it, alpha sets the level of transparency in color +ggplot() + geom_line(aes(x, y))+geom_polygon(data = data.frame(x=x_shaded, y=y_shaded), aes(x_shaded, y_shaded),fill = "red",alpha = 1/5)+ +theme(panel.background = element_rect(fill='transparent'), + axis.line.x = element_line(color="black", size = 0.5), + axis.line.y = element_line(color="black", size = 0.5)) + + scale_x_continuous(n.breaks=8) + + theme(text = element_text(size = 20)) +``` +] + +--- +class: middle + +.pull-left[ +## Ejemplo 1 +![](img/norm2.png) +] + +.pull-right[ +.medium[ +
    +
    +
    +Pensemos en estatura de 1.65, en una muestra con $\bar{x}=160$ y $\sigma=5$. + +$$z=\frac{x-\mu}{\sigma}=\frac{165-160}{5}=1$$ + +En base a la distribución normal sabemos que bajo 1 desviación estańdar está el 68% de los datos + la cola izquierda de la curva, que es (100-68/2)=16%. + +Ej: 84% (68+16) de los casos tienen una estatura menor a 165 cm +]] + +--- +## Ejemplo 2 + +.pull-left[ +.small[ +Puntaje en prueba=450, en una muestra con media=500 y ds=100, en R + +```{r eval=FALSE} +# Definimos los parámetros +X <- 450 # Puntaje +mu <- 500 # Media +sigma <- 100 # Desviación estándar + +# Calculamos el puntaje z +z <- (X - mu) / sigma +z + +# Calculamos el percentil asociado al puntaje z +percentil <- pnorm(z) * 100 + +# Mostramos el resultado +percentil + +``` +] +] + +-- + +.pull-right[ +```{r echo=FALSE} +# Definimos los parámetros +X <- 450 # Puntaje +mu <- 500 # Media +sigma <- 100 # Desviación estándar + +# Calculamos el puntaje z +z <- (X - mu) / sigma + +# Calculamos el percentil asociado al puntaje z +percentil <- pnorm(z) * 100 + +# Mostramos el resultado +percentil + +``` + + +] + +--- +# Distribución muestral del promedio + +.pull-left-narrow[ +
    +![](img/normal.png) +] + +.pull-right-wide[ +- Si tengo la desviación estándar de los promedios, puedo construir un .red[intervalo] de probabilidad, basado en la curva normal + +- Por ejemplo si mi promedio es 10 y la desviación estándar (ds) es 1, puedo decir que el un rango de 8 y 12 se encuentra (app) el 95% de los promedios (prom +/- 2 ds) + +- Peeero ... +] + +--- +class: roja + +## .yellow[Problema: tenemos 1 SOLA MUESTRA, y un solo promedio] + +# ¿Cómo obtenemos entonces la desviación estándar de los promedios? + +--- +class: inverse bottom right +# Error estándar y teorema central del límite +--- + +.pull-left-narrow[ +![](https://multivariada.netlify.app/slides/images/inference1.png) + +] + +.pull-right-wide[ +.content-box-purple[ + +## Desviación estándar y error estándar] +- más que el promedio de la variable en nuestra **muestra**, en inferencia nos interesa estimar en qué medida ese promedio da cuenta del promedio de la **población** + +{{content}} + +] + +-- + +- contamos con **una muestra**, pero sabemos que otras muestras podrían haber sido extraídas, probablemente con distintos resultados. + +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_1.png) +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_2.png) +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_3.png) + + +--- +# Teorema del límite central + +- la distribución de los promedios de distintas muestras - o .red[distribución muestral del promedio] - se aproxima a una distribución normal + +-- + +- En muestras mayores a 30 la desviación estándar de los promedios (error estándar del promedio) equivale a: +$$\sigma_{\bar{X}}=SE(error estándar)=\frac{s}{\sqrt{N}}$$ + - $s$ = desviación estándar de la muestra + - $N$ = tamaño de la muestra + +--- +class: inverse middle right + +## Basados en el .orange[teorema del límite central], es posible calcular la desviación estándar de los promedios (error estándar) con + +#.yellow[una sola muestra] + +--- +### Demostración: 10 muestras, 5 casos c/u +![](img/demo_SE.png) +.medium[ +.right[ +-> ver demostración con más casos [aquí](https://docs.google.com/spreadsheets/d/1YrMd_ds5zHgQWrdjYcX5Diwv7bQHDzf5r2A0oYWriyA/edit#gid=0) +] +] + +--- +class: inverse middle right + +# ¿Para qué nos sirve el .red[error estándar] o .red[SE] del promedio? + +##(... y de otros estadísticos, como la correlación) + +--- + +# Usos del error estándar + +- Dos usos complementarios: + + - construcción de intervalos de confianza + + - test de hipótesis + +-- + +.content-box-red[ +## -> Próxima clase +] + +--- +class: inverse + + +# .yellow[Resumen] + +### - Probabilidades teóricas y empíricas + +### - Curva normal y puntajes Z + +### - Error estándar + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + diff --git a/slides/03-inferencia2.html b/slides/03-inferencia2.html new file mode 100644 index 00000000..5d7292f1 --- /dev/null +++ b/slides/03-inferencia2.html @@ -0,0 +1,770 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/03-inferencia2_files/figure-html/unnamed-chunk-1-1.png b/slides/03-inferencia2_files/figure-html/unnamed-chunk-1-1.png new file mode 100644 index 00000000..aef6eda9 Binary files /dev/null and b/slides/03-inferencia2_files/figure-html/unnamed-chunk-1-1.png differ diff --git a/slides/03-inferencia2_files/figure-html/unnamed-chunk-10-1.png b/slides/03-inferencia2_files/figure-html/unnamed-chunk-10-1.png new file mode 100644 index 00000000..6c2a9ac8 Binary files /dev/null and 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scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -# -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Theories
    of change - -.class-info[ - -**Session 3** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-1.medium.sp-after-half[Reproducibility] - --- - -.box-2.medium.sp-after-half[Program theories] - --- - -.box-6.medium[Logic models & results chains] - ---- - -name: reproducibility -class: center middle section-title section-title-1 animated fadeIn - -# Reproducibility - ---- - -layout: true -class: title title-1 - ---- - -# Why am I making you learn R? - -  - --- - -.box-inv-1.medium[More powerful] - --- - -.box-inv-1.medium[Free and open source] - --- - -.box-inv-1.medium.sp-after[Reproducibility] - ---- - -# Austerity and Excel - -.pull-left[ - -
    - Reinhart and Rogoff abstract -
    - -.box-inv-1[Debt:GDP ratio
    90%+ → −0.1% growth] - -] - --- - -.pull-right.center[ - -
    - The Path to Prosperity 2013 house budget -
    Paul Ryan's 2013 House budget resolution
    -
    - -] - -??? - -[2013 House Budget Resolution](https://republicans-budget.house.gov/uploadedfiles/pathtoprosperity2013.pdf) - ---- - -# Austerity and Excel - -.pull-left.center[ - -
    - Thomas Herndon -
    Thomas Herndon
    -
    - -] - --- - -.pull-right.center[ - -
    - Paul Krugman on Excel and reproducibility -
    From Paul Krugman, "The Excel Depression"
    -
    - -] - -??? - -[Paul Krugman on the reproducibility crisis](https://www.nytimes.com/2013/04/19/opinion/krugman-the-excel-depression.html) - ---- - -# Austerity and Excel - -.center[ -
    - Reinhart Rogoff Table 1 -
    -] - --- - -.box-inv-1[Debt:GDP ratio = 90%+ → 2.2% growth (!!)] - ---- - -# Genes and Excel - -.pull-left-3[ -.box-inv-1[Septin 2] -] - -.pull-middle-3[ -.box-inv-1[Membrane-Associated Ring Finger (C3HC4) 1] -] - -.pull-right-3[ -.box-inv-1[2310009E13] -] - --- - -.center.sp-after[ -
    - Numbers in Excel -
    -] - --- - -.center[ -.box-1[20% of genetics papers between 2005–2015 (!!!)] -] - ---- - -# General guidelines - -.box-inv-1.medium[Don't touch the raw data] - -.box-1[If you do, explain what you did!] - --- - -.box-inv-1.medium[Use self-documenting, reproducible code] - -.box-1[R Markdown!] - --- - -.box-inv-1.medium[Use open formats] - -.box-1[Use .csv, not .xlsx] - ---- - -# R Markdown in real life - -.pull-left.center[ - -
    - Airbnb's data science tools -
    Airbnb, ggplot, and rmarkdown
    -
    - -] - --- - -.pull-right.center[ - -  - -
    - UK Statistics pipeline -
    - -
    - UK Statistics pipeline, short -
    The UK's reproducible analysis pipeline
    -
    - -] - -??? - -https://peerj.com/preprints/3182.pdf + https://gdsdata.blog.gov.uk/2017/03/27/reproducible-analytical-pipeline/ - ---- - -layout: false -name: program-theories -class: center middle section-title section-title-6 animated fadeIn - -# Program theories - ---- - -layout: true -class: title title-6 - ---- - -# Elements of a program - -.pull-left[ -.box-inv-6[Inputs] - -.box-6.smaller.sp-after[Things that go into an activity; money, people, time, etc.] - -.box-inv-6[Activities] - -.box-6.smaller.sp-after[Actions that convert inputs to outputs; things that the program does] -] - --- - -.pull-right[ -.box-inv-6[Outputs] - -.box-6.smaller.sp-after[Tangible goods and services produced by activities; you have control over these] - -.box-inv-6[Outcomes] - -.box-6.smaller.sp-after[What happens when the target population uses the outputs; you don't have control over these] -] - --- - -.center[
    **Inputs → Activities → Outputs → Outcomes**] - - ---- - -# Program theory - -.box-inv-6.medium[How and why an
    intervention causes change] - --- - -.box-6[A sequence of events that connects inputs to
    activities to outputs to outcomes] - --- - -.box-6[Why you think inputs → activities → outputs → outcomes] - ---- - -# Impact theory - -.box-inv-6.medium.sp-after[Causes (activities) linked to effects (outcomes)] - --- - -.center[ -
    - PSD impact theory -
    -] - ---- - -# One Laptop Per Child (OLPC) - -.center[ -
    - OLPC XO -
    -] - -??? - -Nicholas Negroponte from MIT, started the Media Lab there - -Draw impact theory: access to computers → 21st century skills, access to global marketplace, reduction of poverty, growth of local businesses - -https://www.theverge.com/2018/4/16/17233946/olpcs-100-laptop-education-where-is-it-now - -https://en.wikipedia.org/wiki/OLPC_XO#/media/File:XO-Beta1-mikemcgregor-2.jpg - ---- - -# OLPC - -  - -.pull-left-narrow[ - -] - --- - -.pull-right-wide[ -
    - The Verge on the OLPC project -
    Adi Robertson, "OLPC's $100 laptop was going to change the world—then it all went wrong"
    -
    -] - -??? - -Everything fell apart though. It wasn’t ready—it had unrealistic expectations and was too utopian. It also didn’t take local conditions into account - -https://www.youtube.com/watch?v=H4F_0sshG28 - ---- - -# PlayPumps - -.pull-left[ -
    - PlayPump diagram -
    -] - -.pull-right.center[ -
    - PlayPump -
    -] - -??? - -Improved access to water → better health, better education, reduction in poverty - -> The Guardian calculated in 2009 that children would have to "play" for 27 hours every day to meet PlayPumps' stated targets of providing 2,500 people per pump with their daily water needs. (https://en.wikipedia.org/wiki/Roundabout_PlayPump) - -Have kids play to get water out. Led to overuse – main problem in many areas isn’t access to water, but scarcity of water – only works in locations with lots of good water that’s not too deep and where infrastructure is lacking - -Is children playing is an appropriate source of energy for water? The line between work and play isn’t as clear-cut as one would think. – can lead to exploitation - -https://blogs.ei.columbia.edu/2010/07/01/the-playpump-what-went-wrong/ - -http://docan.jp/idea-source/playpumps/?lang=en - ---- - -# Why theorize? - -.pull-left[ -.box-6[Implicit theory] - -.box-inv-6.small[What program designers think or assume is going to happen, and why] - -.box-inv-6[Assumed] -] - --- - -.pull-right[ -.box-6[Articulated theory] - -.box-inv-6.small[What program designers officially claim and predict, and why] - -.box-inv-6.sp-after[Written down] - -] - --- - -.box-inv-6.medium[Should all social programs be
    rooted in explicit articulated theory?] - - -??? - -What difference does articulation make? - ---- - -layout: false - -.center[ -
    - LHI locations -
    -] - -.pull-left.center[ -
    - LHI Serres -
    -] - -.pull-right.center[ -
    - Kids at LHI Serres -
    -] - ---- - -.center[ -
    - Serres distribution preferences by age -
    -] - --- - -.center[ -
    - Serres program preferences -
    -] - ---- - -class: title title-6 - -# Impact theory - -.box-inv-6[Ensure that the theory linking activities to the outcomes is sound!] - -.center[ -
    - PSD impact theory -
    -] - ---- - -layout: false -name: logic-models -class: center middle section-title section-title-2 animated fadeIn - -# Logic models
    & results chains - ---- - -class: bg-full -background-image: url("img/03/wb-results-chain.png") - -??? - -p. 39 in *Impact Evaluation in Practice*, The World Bank - ---- - -.center[ -
    - PSD logic model -
    -] - ---- - -layout: true -class: title title-2 - ---- - -# Impact theory vs. logic model - -.pull-left[ -  - -
    - PSD impact theory -
    -] - -.pull-right[ -
    - PSD logic model -
    -] - ---- - -# MPA/MPP at GSU - -.pull-left[ -
    - MPP mission -
    -] - -.pull-right[ -
    - MPA mission -
    -] - -??? - -Inputs: - -- Students -- Curriculum -- Money (grants, tuition) -- AYSPS itself -- Faculty, staff -- Technology (iCollege, PAWS) -- Infrastructure -- Transportation -- State regulations -- National accreditation standards -- Faculty research - -Activities: - -- Classes -- Group work -- Exams -- Internships -- Job fairs -- Commencement -- Studying -- Tutoring -- Office hours -- Advising -- Attendance - -Outputs: - -- Assignments and projects -- Grades -- Degree -- Jobs -- Awards -- Network -- Debt - -Outcomes: - -- Leadership -- AYS national ranking -- Public service motivation -- Critical thinking -- Efficient workforce -- Income -- Better society diff --git a/slides/03_pearson.Rmd b/slides/03_pearson.Rmd new file mode 100644 index 00000000..d4382cf9 --- /dev/null +++ b/slides/03_pearson.Rmd @@ -0,0 +1,791 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +require("knitr") +options(htmltools.dir.version = FALSE) +pacman::p_load(RefManageR) +# bib <- ReadBib("../../bib/electivomultinivel.bib", check = FALSE) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 3: +# .orange[Correlación de Pearson]] +] +] +--- + +layout: true +class: animated, fadeIn + + +--- +class: roja + +## Objetivos de la sesión de hoy +
    + +### 1. Comprender los conceptos de covarianza y correlación + +### 2. Aprender el cálculo de ambos coeficientes y su interpretación + +### 3. Entender las limitaciones del coeficiente y su consideración en el cálculo e interpretación + +--- +class: middle center + +# Lectura: Moore 97-131 Análisis de relaciones + +--- +class: roja right + +# Contenidos + +.pull-left-narrow[ +] + +.pull-right-wide[ + +## .yellow[1- Resumen sesión anterior] + +## 2- Covarianza y correlación: Cálculo e interpretación + +## 3- Limitaciones + +] + +--- +# Sobre el sentido general del curso +En este curso vamos a aprender tres cosas principales: + +1. **Inferencia**: los resultados que encontramos en nuestra muestra, ¿se encuentran también en la población de la cual proviene la muestra? + +2. **Asociación** entre variables: tamaño y significación estadística + +3. **Reporte y reproducibilidad** + + +--- +# Conceptos básicos (estadística descriptiva) + +- Datos + +- Variables + - tipos + - niveles de medición + +- Tendencia central +- Varianza y desviación estándar = medidas de dispersión + + +--- +class: roja right + +# Contenidos + +.pull-left-narrow[ +] + +.pull-right-wide[ + +## 1- Resumen sesión anterior + +## 2- .yellow[Covarianza y correlación: Cálculo e interpretación] + +## 3- Limitaciones + +] + +--- +# Siguiendo con ejemplo: educación e ingreso + +- simulamos datos para + + - 8 casos + + - 8 niveles de .red[educación] (ej: desde basica incompleta=1 hasta postgrado=8) + + - 12 niveles de rangos de .red[ingreso] (ej: desde menos de 100.000=1 hasta más de 10.000.000=12) + + +--- +# Generación de datos para el ejemplo + +.pull-left[ +```{r, echo=T} +educ <-c(2,3,4,4,5,7,8,8) +ing <-c(1,3,3,5,4,7,9,11) + +data <-data.frame(educ,ing) +``` +] + + +.pull-right[ +.small[ +```{r} +kableExtra::kbl(data) +``` +] +] + +--- +class: middle center + +![](img/educ-ing1.png) + + +--- +class: inverse middle center + +## Midiendo dispersión: +
    +#### $$Varianza=\sigma^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +--- + +.pull-left-narrow[ +
    +
    +
    +
    +
    +$$\sigma^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +] + + +.pull-right-wide[ + +![:scale 100%](img/varianza2.png) +] + +--- + +.pull-left-narrow[ +
    +
    +
    +
    +
    +$$\sigma^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +] + + +.pull-right-wide[ + +![:scale 100%](img/varianza3.png) +] + +--- + +```{r, echo=FALSE} +data$id <- seq(1,8) # agregar para graficos univariados +data <- data %>% select(id,educ,ing) +ggplot( + data = data, + aes(y = educ, x = id)) + + geom_point() + + geom_hline(yintercept=5.12) + + annotate("text", x=7.5, y=4.8, + label="Prom Educ") + + geom_segment(aes(y=5.12, yend = educ, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,8,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` + + +--- +.pull-left[ +# Varianza educación + +$$Varianza=\sigma^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ + +.small[ +```{r} +mean(data$educ) +``` + +```{r} +data$mean_educ <- mean(data$educ) +data$dif_m_educ <- data$educ-data$mean_educ +data$dif_m_educ2 <- (data$dif_m_educ)^2 +``` +]] + +-- + +.pull-right[ +.small[ +```{r} +kbl(data, digits = 2) %>% + scroll_box(width = "500px", height = "450px") +``` +] +] + +--- +.pull-left[ + +.small[ +```{r, echo=FALSE} +kableExtra::kbl(data, digits = 2) %>% + scroll_box(width = "500px", height = "450px") +``` +] +.medium[ +```{r} +sum(data$dif_m_educ2) +``` +] +] + +-- + +.pull-right[ + +# Varianza educación + +\begin{align*} +Varianza =\sigma^{2} &={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}\\ +\sigma^{2} &={(36,875)\over {8 - 1}}\\ +\sigma^{2} &= 5,267\\ +\end{align*} + +.small[ +```{r} +var(data$educ) +``` +] +] + + +--- +# Varianza ingreso +.pull-left[ + +.small[ +```{r} +mean(data$ing) +``` + +```{r} +data$mean_ing <- mean(data$ing) +data$dif_m_ing <- data$ing-data$mean_ing +data$dif_m_ing2 <- (data$dif_m_ing)^2 +sum(data$dif_m_ing2) +``` +]] + +.pull-right[ + + +\begin{align*} +Varianza =\sigma^{2} &={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}\\ +\sigma^{2} &={(79,875)\over {8 - 1}}\\ +\sigma^{2} &= 11.41071\\ +\end{align*} + +.medium[ +```{r} +var(data$ing) +``` +] +] + +--- +class: inverse + +## ¿Por qué es importante la varianza? + +
    +.content-box-gray[ +###- .black[Indica la dispersion (variabilidad) de los datos en torno al promedio] + +###- .black[Permite establecer relaciones entre variables:] .red[covarianza] +] +--- +# Asociación + +.pull-left-narrow[ +.small[ +
    +```{r echo=FALSE} +data %>% select(id,educ,ing) %>% kbl(.) +``` +] +] + +.pull-right-wide[ +.center[ +![:scale 80%](img/educ-ing5.png) +] +] + + + +--- + +.pull-left-narrow[ +.medium[ +```{r} +plot1 <- ggplot(data, + aes(x=educ, y=ing)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20)) +``` +]] + +.pull-right-wide[ +```{r, echo=FALSE,fig.height=8 } +plot1 +``` + +] + + +--- + +.pull-left-wide[ + +```{r, echo=FALSE,fig.height=8 } +plot1 +``` +] + +.pull-right-narrow[ +
    +
    +
    +
    +.content-box-red[ +¿Cómo expresar matemáticamente este patrón de asociación?] +] + +--- +## Hacia la covarianza + +.pull-left[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = educ, x = id)) + + geom_point() + + geom_hline(yintercept=5.12) + + annotate("text", x=7.5, y=4.8, + label="Prom Educ") + + geom_segment(aes(y=5.12, yend = educ, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,8,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Educación +] + +] +.pull-right[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = ing, x = id)) + + geom_point() + + geom_hline(yintercept=5.375) + + annotate("text", x=7.5, y=4.8, + label="Prom Ing.") + + geom_segment(aes(y=5.375, yend = ing, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,12,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Ingreso +] + +] + +--- +# Covarianza + + +.pull-left[ +.center[ +### Varianza educación (x) + +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})(x_{i}-\bar{x})\over {N - 1}}$$ + +] + + +] +.pull-right[ + +.center[ +### Varianza ingreso (y) + +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})^{2}\over {N - 1}}$$ +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})(y_{i}-\bar{y})\over {N - 1}}$$ + +] + +] + +-- +.content-box-red[ +$$Covarianza=cov(x,y) = \frac{\sum_{i=1}^{N}(x_i - \bar{x})(y_i - \bar{y})} {N-1}$$ +] + +--- +# Cálculo covarianza + +.pull-left-narrow[ +.small[ +```{r} +data$dif_xy <- + data$dif_m_educ* + data$dif_m_ing +``` + +```{r,eval=FALSE} +data %>% select(educ,ing, + dif_m_educ, + dif_m_ing, + dif_xy) %>% kbl +``` + +] +] + +-- + +.pull-right-wide[ +.small[ +```{r echo=FALSE} +data %>% select(educ,ing,dif_m_educ,dif_m_ing, dif_xy) %>% kbl +``` + +```{r} +sum(data$dif_xy) +``` +] +] + +--- +# Covarianza + +\begin{align*} +Covarianza=cov(x,y) &= \frac{\sum_{i=1}^{n}(x_i - \bar{x})(y_i - \bar{y})} {N-1} \\ + &= \frac{51.625} {8-1} \\ + &=7.375 +\end{align*} + + +```{r} +cov(data$educ,data$ing) +``` + +--- +class: inverse center + +#### La .roja[covarianza] es una medida de asociación entre variables basada en la variabilidad de cada una de ellas + +-- + +#### La distancia del promedio del valor de una variable (residuo): ¿tiene relación con el residuo de otra variable? + +-- + +#### Expresa la medida en que los valores de cada variable se distancian respectivamente de su promedio + +-- + +#### .red[Su valor no es interpretable directamente] + + +--- +# Correlación producto-momento de Pearson + +.pull-left-narrow[ +![](img/pearson.png) +] + +.pull-right-wide[ +
    +- Medida estandarizada de covarianza + +- Basada en los trabajos de Galton y de Bravais + +- Desarrollada por Karl Pearson (1857-1936): físico, matemático, estadístico y germanista. Y eugenista ... + +] + +--- +# Correlación producto-momento (Pearson) + +\begin{align*} +Covarianza = cov(x,y) &= \frac{\sum_{i=1}^{n}(x_i - \bar{x})(y_i - \bar{y})} {n-1}\\ +\\ +Correlación=r &= \frac{\sum_{i=1}^{n}(x_i - \bar{x})(y_i - \bar{y})} {(n-1)\sigma_x \sigma_y }\\ \\ + &= \frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}} +\end{align*} + +--- +## Cálculo correlación + +.pull-left[ +.small[ +```{r echo=FALSE} +data %>% select(educ,ing,dif_m_educ2,dif_m_ing2, dif_xy) %>% kbl(., digits = 2) %>% + scroll_box(width = "500px", height = "450px") +``` + +] +] + +.pull-right[ +$$r=\frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}}$$ + + +```{r} +sum(data$dif_xy); sum(data$dif_m_educ2);sum(data$dif_m_ing2) +``` + +] + +--- + +## Cálculo correlación +.pull-left[ + + +\begin{align*} +r &= \frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}} \\ \\ +&= \frac{51.625}{ \sqrt{36.875*79.875}} \\ \\ +&= \frac{51.625}{54.271} \\ \\ +&= 0.951 +\end{align*} + +] + +-- + +.pull-right[ + +```{r} +cor(data$educ,data$ing) +``` +] + +--- +class: roja + +## Interpretación + +- El coeficiente de correlación (de Pearson) es una medida de asociación lineal entre variables, que indica el sentido y la fuerza de la asociación + +-- + +- Varía entre +1 y -1, donde + + - valores .black[positivos] indican relación directa (aumenta una, aumenta la otra) + + - valores .black[negativos] indican relación inversa (aumenta una, disminuye la otra) + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters.png)] + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters2.png) +] + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters3.png) +] +--- +class: middle center +## Adivine la correlación: + +# [guessthecorrelation.com](https://www.guessthecorrelation.com) + + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters4.png) +] + +--- +class: roja right + +# Contenidos + +.pull-left-narrow[ +] + +.pull-right-wide[ + +## 1- Resumen sesión anterior + +## 2- Covarianza y correlación: Cálculo e interpretación + +## 3- .yellow[Limitaciones] + +] + +--- +# Limitaciones + +- medida de asociación .roja[lineal] entre variables + +- no captura apropiadamente asociaciones no lineales + +- posee supuestos distribucionales de x e y (distribución normal) + +- sensible a valores extremos + +- un mismo coeficiente puede reflejar distintas distribuciones bivariadas + +--- +.center[ +![:scale 80%](img/anscombe.png) +] + +--- +class: bottom right + +class: roja + +## Próxima clase: + +# Correlación 3: Matrices y tamaños de efecto + +### Además: Otros coeficientes de correlación, datos perdidos y coeficiente de determinación +- Lectura obligatoria: [.yellow[Field 205-244 Correlation]](https://correlacional.netlify.app/files/textos/Field-correlation.pdf) + +--- +class: middle + +# Recomendación + +.pull-left[ +![](img/Alice_Lee.jpg) +] +.pull-right[ +
    +[Alice Lee: Correlación, inteligencia y tamaño del cráneo en hombres y mujeres](https://es.wikipedia.org/wiki/Alice_Lee) +] + + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + + + + + + diff --git a/slides/03_pearson.html b/slides/03_pearson.html new file mode 100644 index 00000000..71a5d387 --- /dev/null +++ b/slides/03_pearson.html @@ -0,0 +1,1335 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/03_pearson_files/figure-html/unnamed-chunk-10-1.png b/slides/03_pearson_files/figure-html/unnamed-chunk-10-1.png new file mode 100644 index 00000000..1bf0b7b4 Binary files /dev/null and b/slides/03_pearson_files/figure-html/unnamed-chunk-10-1.png differ diff --git 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"css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 4 - -.class-info[ - -**February 2, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-1.medium.sp-after-half[Super quick R FAQs] - --- - -.box-4.medium.sp-after-half[Regression!] - --- - -.box-2.medium.sp-after-half[Measuring outcomes] - --- - -.box-5.medium[DAGs] - ---- - -layout: false -name: r-stuff -class: center middle section-title section-title-1 animated fadeIn - -# Quick useful
    R tips - ---- - -layout: true -class: middle - ---- - -.box-1.large[Weird figure/table
    placement in PDFs] - -??? - -https://bookdown.org/yihui/rmarkdown-cookbook/figure-placement.html - ---- - -.box-1.large[Figure sizing in R] - ---- - -.box-1.large[Figure and table
    captions and numbers] - -??? - -- -- -- -- - ---- - -.box-1.large[Make nicer tables when
    knitting with `kable()`] - -.box-inv-1[(Or even fancier tables with [kableExtra](https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html)!)] - -??? - -- -- - ---- - -layout: false -name: regression -class: center middle section-title section-title-5 animated fadeIn - -# Regression! - ---- - -layout: true -class: middle - ---- - -.box-4.large.sp-after[Drawing lines through points] - --- - -.center.sp-after[] - --- - -.box-4[Locally estimated/weighted scatterplot smoothing (LOESS/LOWESS)
    is a common method (but not the only one!)] - ---- - -.center[ - -] - ---- - -.box-4.large[Regression equations] - -.box-inv-4[And is the intercept ever useful,
    or should we always ignore it?] - -??? - - - - - ---- - -.box-4.medium[What does it mean to
    hold something constant?] - -.box-4.medium[Why is one category always left out
    when you use a categorical variable?] - ---- - -.center[ -
    - Single slider and switch -
    -] - ---- - -.center[ -
    - Mixer board -
    -] - ---- - -.box-4.medium.sp-after[Why use two steps to create a regression in R?
    (i.e. assigning it to an object with `<-`?)] - -.box-4.medium[Why use `tidy()`
    from the broom package?] - -??? - -Show model with `lm()`; show t-test with `t.test()`; show both through `tidy()` - -Use **marginaleffects** - ---- - -.box-4.medium[How was the 0.05 significance
    threshold determined?] - -.box-4.medium[Could we say something is significant
    if p > 0.05, but just note that it is at
    a higher p-value?
    Or does it have to fall under 0.05?] - ---- - -.box-4.large[Why all this convoluted
    logic of null worlds?] - ---- - -layout: false -class: title title-4 - -# Different "dialects" of statistics - -.pull-left[ -.box-4.medium[Frequentist] - -$$P(\text{data} \mid H_0)$$ - -.box-inv-4["Regular" statistics;
    what you've learned
    (and are learning here)] - -] - --- - -.pull-right[ -.box-4.medium[Bayesian] - -$$P(H \mid \text{data})$$ - -.box-inv-4[Requires lots of
    computational power] - -] - ---- - -layout: true -class: middle - ---- - -.box-4.medium[Do we care about the actual coefficients
    or just whether or not they're significant?] - -.box-4.medium[How does significance relate to causation?] - -.box-4.medium[If we can't use statistics to assert causation
    how are we going to use this information
    in program evaluation?] - ---- - -.box-4.large[What counts as a "good" R²?] - ---- - -.center[ -
    - Euler diagram -
    -] - ---- - -.center[ -
    - R2 prediction -
    -] - ---- - -.center[ -
    - R2 estimation -
    -] - ---- - -.center[ -
    - R2 estimation vs prediction -
    -] - - ---- - -layout: false -name: outcomes -class: center middle section-title section-title-2 animated fadeIn - -# Measuring
    outcomes - ---- - -layout: true -class: title title-2 - ---- - -# Outcomes and programs - -.box-2.medium[Outcome variable] - -.box-inv-2.sp-after-half.SMALL[Thing you're measuring] - --- - -.box-2.medium[Outcome change] - -.box-inv-2.sp-after-half.SMALL[∆ in thing you're measuring over time] - --- - -.box-2.medium[Program effect] - -.box-inv-2.SMALL[∆ in thing you're measuring over time *because of* the program] - ---- - -# Outcomes and programs - -
    - Outcomes and program effect -
    - ---- - -layout: false -class: middle - -.box-2.large[Abstraction] diff --git a/slides/04-inferencia3.Rmd b/slides/04-inferencia3.Rmd new file mode 100644 index 00000000..6a9b00a2 --- /dev/null +++ b/slides/04-inferencia3.Rmd @@ -0,0 +1,515 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2024" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("animate_css")) +xaringanExtra::use_scribble() +xaringanExtra::use_tile_view() +xaringanExtra::use_search(show_icon = TRUE) +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .gray[Sesión 4:] +## .curso[Inferencia 3: Intervalos de confianza]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +# Pilares de la inferencia + +.pull-left[ +### Curva normal + +![](img/norm2.png) + +] + +.pull-right[ +### Error estándar + +$$\sigma_{\bar{X}}=SE(error estándar)=\frac{s}{\sqrt{N}}$$ + +] + +--- +# Diferencias desviación estándar y error estándar + +.pull-left[ +### Desviación estándar + +# $\sigma=\sqrt{\frac{\Sigma(x_i-\bar{X})²}{N-1}}$ + +Magnitud que expresa la dispersión en torno al promedio en la escala de la variable +] + +.pull-right[ +### Error estándar (del promedio) + +## $$\sigma_{\bar{X}}=SE=\frac{s}{\sqrt{N}}$$ + +.medium[Magnitud que equivale a la desviación estándar de los promedios de varias muestras] +] + + +--- +## ... y más de Error Estándar + +- se calcula no solo para el promedio, sino para **distintos estadísticos** como correlación, regresión, desviación estándar (con distintas fórmulas para cada uno) + + +- como está expresado en unidades estándar de variación, permite construir **rangos de probabilidad** basados enla distribución normal + +- estos rangos de probabilidad se conocen como **intervalos de confianza** + +--- +class: inverse bottom right + +# Intervalos de confianza + +--- + + +- El error estándar, por su asociación a las áreas de la curva normal, se relaciona con **niveles de probabilidad** + +- Si sumo y resto error(es) estándar al promedio puedo construir un rango de valores probables en que se encuentra el parametro poblacional -> **intervalo de confianza** + + +- Por ejemplo, si tengo un promedio=10 y SE=1, puedo decir que aproximadamente el 68% de los casos se encuentran en el **intervalo** entre 9 y 11 (basado en distribución normal) + +-- + +.content-box-red[ +.center[Pero ... ¿Es suficiente un rango que cubra al 68%] +] + +--- +# Error y confianza + +- Un 68% implica que la probabilidad de que el promedio esté fuera de ese rango (o **probabilidad de error**) es de un 32% (100%-68%) + +-- + +.center[ +.content-box-red[ +## ¿Es aceptable este nivel? +]] + +-- + +Esto es equivalente a preguntarse cuánto error estoy dispuesto a tolerar como resultado de una inferencia estadística + +-- + +Y se asocia al concepto de **.red[nivel de confianza**] + +--- +# ¿Certeza o precisión? + +- No hay certezas, solo probabilidades + +- Las probabilidades se asocian a un rango (intervalo) que garantice un cierto nivel de confianza + +- Y esto requiere un compromiso o compensación (trade-off), ya que: +.medium[ +- un intervalo mayor poseerá un mayor nivel de confianza, pero en un rango de valores demasiado amplio +- un intervalo menor poseerá un menor nivel de confianza, pero en un rango de valores más estrecho + ] +--- +# Es decir, qué tipo de conclusión prefiero: + +- el promedio de ingresos se encuentra entre 500.000 y 5.000.000, con un 99% de confianza, ó + +- el promedio de ingresos se encuentra entre 700.000 y 710.000, con un 65% de confianza + +-- + +.content-box-red[ +.center[ +_.red["con un 100% de probabilidad te aseguro que tu nota se encuentra entre 1 y 7"]_]] + +--- +# Intervalos vs confianza +![:scale 100%](img/confidence_levels.png) +--- +# ¿De qué depende el nivel de confianza? + +- en estadística inferencial, la confianza se asocia a 1 - probabilidad de error + +- la probabilidad de error a aceptar no es un criterio estadístico, es convencional + +- por convención, se acepta como estadísticamente significativa una probabilidad de error **menor al 5%**, lo que equivale (al menos) a un **nivel de confianza del 95%** + +--- +# ¿Qué significa un 95% de confianza? + +- que si tuviéramos la posibilidad de extraer múltiples muestras, el 95% de las veces nuestro intervalo contendría el promedio + +-- + +- o que existe un 5% de probabilidad de error, es decir, de que el promedio de la muestra no sea el de la población + +-- + +- o que las chances de error son 1 de 20 + +--- +.center[ +![:scale 50%](img/intervalos.png) +] + +--- +class: roja + +# Un .yellow[intervalo de confianza] (IC o CI) es la mejor estimación del rango de un estadístico en la población (parámetro poblacional) con una muestra aleatoria + + +--- +class: inverse middle + + +## ¿De qué depende el .red[tamaño] del intervalo de confianza? + +## ¿Cómo se establece el .red[nivel de confianza] del intervalo? + +--- +## ¿De qué depende el tamaño del intervalo de confianza? + +- recordemos que el intervalo de confianza se elabora sumando y restando errores estándar al promedio + +$$\sigma_{\bar{X}}=SE(error estándar)=\frac{s}{\sqrt{N}}$$ + +-- + +- dado que el tamaño muestral (N) se encuentra en el denominador del $SE$, a mayor N, menor será el $SE$ y menor el intervalo de confianza + +- esto tiene implicancias directas en el cálculo del tamaño muestral + + +--- +# Pasos en la construcción del intervalo de confianza (para un promedio) + +1. Obtención de la media y el error estándar + +2. Determinar el nivel de confianza (expresado en puntaje Z) para la construcción del intervalo + +3. Aplicar fórmula: + +$$\bar{X}\pm Z*\frac{\sigma}{\sqrt{N}}$$ + + +--- +# Determinando el nivel de confianza + +.pull-left-narrow[ +.medium[ + +- Nuestro promedio muestral $\bar{x}$ posee una distribución normal con una desviación estandar = SE (error estándar) + +- Esto nos permite estimar probabilidades basados en los valores de la curva normal + +] +] +.pull-right-wide[ +.center[![:scale 95%](https://multivariada.netlify.app/slides/images/normal.png)]] + +--- +# Valores del intervalo + +Determinar el valor del límite superior y el límite inferior del intervalo en la curva normal para un nivel de confianza del 95%: + +.center[ +![](img/confidence-interval.png) +] + +--- +# Valores del intervalo + +.pull-left[ +El límite inferior de un intervalo al 95% de confianza corresponde al percentil 2,5%, y el límite superior al 97,5% (95% + 2,5%) +] + +.pull-right[ +![](img/confidence-interval.png) + +] + +--- +Y sabemos por la distribución normal que entre +/- 2 desviaciones estándar de la curva normal se encuentra el 95,44% de los casos: + +.center[![:scale 45%](https://multivariada.netlify.app/slides/images/normal.png)] + + +Por lo tanto, para un 95% será algo menos que +/- 2ds ... pero cuánto específicamente? + +--- +# De percentil a puntaje Z + +.pull-left[ +Recordemos que al calcular el puntaje Z, el resultado se expresa en desviaciones estándar de la curva normal, lo que puede ser transformado a percentiles. + + +Por lo tanto, se puede hacer la operación inversa -> a que puntaje Z corresponde un determinado percentil +] + +.pull-right[ +![](https://correlacional.netlify.app/slides/03-inferencia2_files/figure-html/unnamed-chunk-16-1.png) + +] + +--- + +- Para hacer la equivalencia entre puntajes Z y percentiles vamos a una tabla de puntajes Z ... o directamente en R: + +```{r} +qnorm(0.025) # límite inferior +qnorm(0.975) # límite superior +``` + +Y aproximando: $\pm{1.96}$. Por lo tanto: + +--- +class: inverse middle center + +.center[ +.red[ +# Sumando y restando **1.96** errores estándar al promedio construimos un intervalo de confianza del 95%] +] + + +--- +## Intervalo de 95% de confianza + +.pull-left[ +.center[![](img/confidence95.png)]] + + +.pull-right[ +.medium[ + +- El valor de Z que deja el 2.5% de probabilidad en la cola izquierda y el 2.5% en la derecha es aproximadamente ±1.96 + +- Un intervalo de confianza de $\bar{x}\pm1.96SE$ abarca aproximadamente el 95% de los valores probables + +- En este caso, puedo decir que el promedio se encuentra en un rango de valores con un .red[nivel de confianza] de 95% + +] +] + +--- +## Ejemplo: intervalo de confianza para un promedio +---- +.pull-left[ +.content-box-green[ +- Tenemos: + + - promedio de ingresos: 800.000 + + - desviación estándar: 100.000 + + - N muestral: 1.600 +]] + +.pull-right[ + +\begin{align*} +SE&=\frac{s}{\sqrt{N}} \\\\ +&=\frac{100.000}{\sqrt{1.600}} \\\\ +&=\frac{100.000}{40}=2.500 +\end{align*} +] + +--- + +- Tenemos: $SE=2.500$, $\bar{x}_{ingresos}=800.000$ + +- Con estos valores podemos construir un rango de probabilidad basado en la curva normal, sumando y restando errores estándar + +- $\bar{X}{\color{red}\pm}1.96SE$ abarcan el 95% de los valores alrededor del promedio + - $800.000 - (1.96*2.500) = 800.000 - 4.900={\color{red}{795.100}}$ + - $800.000 + (1.96*2.500) = 800.000 + 4.900={\color{red}{804.900}}$ + +- Por lo tanto, podemos decir .red[con un 95% de confianza] que el promedio de ingresos se encuentra entre 795.100 y 804.900 + +--- +# Aumentando el nivel de confianza: 99% + +- además del 95% de confianza, otro nivel convencional es el 99% de confianza + +- con este nivel tenemos una menor probabildad de error, pero un intervalo más grande + +- en este caso, el límite inferior del intervalo es 0.5%, y el superior 99.5% + +--- +# En R + +Estimando valores Z para límites de intervalo de confianza al 99%: + +```{r} +qnorm(0.005) # límite inferior +qnorm(0.995) # límite superior +``` + +--- +# Generalizando: + +- Para un intervalo de confianza al 95%: +# $\bar{X}\pm1.96SE$ + +- Para un intervalo de confianza al 99%: +# $\bar{X}\pm2.58SE$ + +--- +## Mismo ejemplo, pero al 99% de confianza +---- +.pull-left[ +.content-box-green[ +- Tenemos: + + - promedio de ingresos: 800.000 + + - desviación estándar: 100.000 + + - N muestral: 1.600 +]] + +.pull-right[ + +\begin{align*} +SE&=\frac{s}{\sqrt{N}} \\\\ +&=\frac{100.000}{\sqrt{1.600}} \\\\ +&=\frac{100.000}{40}=2.500 +\end{align*} +] + +--- + +- Tenemos: $SE=2.500$, $\bar{x}_{ingresos}=800.000$ + +- $\bar{X}{\color{red}\pm}2.58SE$ abarcan el 99% de los valores alrededor del promedio + - $800.000 - (2.58*2.500) = 800.000 - 6.450={\color{red}{793.550}}$ + - $800.000 + (2.58*2.500) = 800.000 + 6.450={\color{red}{806.450}}$ + +- Por lo tanto, podemos decir .red[con un 99% de confianza] que el promedio de ingresos se encuentra entre 793.550 y 806.450 + + +--- +# Comparando intervalos: + +- 95% de confianza: $800.000\pm4.900=[795.100 - 804.900]$ + +- 99% de confianza: $800.000\pm6.450=[793.550 - 806.450]$ + +Por lo tanto, a mayor nivel de confianza, mayor es el intervalo, pero disminuye la precisión o aumenta el **margen de error** + +--- +# Margen de error + +- El margen de error es el valor en que puede oscilar el promedio en el intervalo. + +- Es decir, equivale a lo que se suma/resta al promedio para generar el intervalo, pero en general se expresa en términos de porcentaje + +--- +# Ejemplo margen de error + +- Para nuestro intervalo al 95%, el margen de error equivale a qué porcentaje es 4.900 en relación al total. Aplicando regla de 3 para porcentajes: + +$Margen-error_{95}=\frac{4.900*100}{800.000}=0.612$ + +- Por lo tanto, el margen de error en este caso es de $\pm{0.6}\%$ + +--- +class: inverse + +## .yellow[Resumen] + +- definición de intervalo de confianza + +- cálculo e interpretación del intervalo de confianza + +- comparación de intervalos con distinto nivel de confianza + +- margen de error + + +--- +# Recomendaciones + +Ver [simulación de intervalo de confianza para promedio muestral](https://shiny.rit.albany.edu/stat/confidence/) + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + + diff --git a/slides/04-inferencia3.html b/slides/04-inferencia3.html new file mode 100644 index 00000000..94fe76dc --- /dev/null +++ b/slides/04-inferencia3.html @@ -0,0 +1,689 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/04-slides.Rmd b/slides/04-slides.Rmd deleted file mode 100644 index 1ea5b5c9..00000000 --- a/slides/04-slides.Rmd +++ /dev/null @@ -1,1367 +0,0 @@ ---- -title: "Measurement and DAGs" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Measurement
    and DAGs - -.class-info[ - -**Session 4** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-4.medium.sp-after-half[Abstraction, stretching,
    and validity] - --- - -.box-6.medium.sp-after-half[Causal models] - --- - -.box-5.medium[Paths, doors, and adjustment] - ---- - -name: abstraction -class: center middle section-title section-title-4 animated fadeIn - -# Abstraction, stretching,
    and validity - ---- - -layout: true -class: title title-4 - ---- - -# Indicators - -.pull-left[ -.box-4.medium[Inputs, activities,
    and outputs] - -.box-inv-4[Generally directly measurable] - -.box-inv-4[\# of citations mailed,
    % increase in grades, etc.] -] - --- - -.pull-right[ -.box-4.medium[Outcomes] - -  - -.box-inv-4[Harder to measure directly] - -.box-inv-4[Loftier and more abstract] - -.box-inv-4[Commitment to school,
    reduced risk factors] -] - ---- - -layout: false - -  - -.box-4.large.sp-after[How do you measure
    abstract outcomes?] - --- - -.box-inv-4.large[Move up the ladder of abstraction.] - ---- - -.center[ -
    - Witch scene from Monty Python and the Holy Grail -
    -] - -??? - -https://www.youtube.com/watch?v=yp_l5ntikaU - ---- - -layout: false -class: bg-full -background-image: url("img/04/witches.jpg") - -??? - -Here's a dataset of witches. - -What are the common features across witches in general? - -Are these criteria useful if certain cases don’t fit like Sabrina? - -What are the most important elements here? Doing magic + being female – that’s good, probably – covers Hermione and HP world - ---- - -layout: true -class: title title-4 - ---- - -# Conceptual stretching - -.center[ -
    - Magical women who aren't witches -
    -] - -??? - -But now the concept is stretched too far – this includes all magical female creatures, like trolls and goblins - -Too much conceptual stretching - ---- - -# Ladder of abstraction for witches - --- - -.box-inv-4.small[Mammal] - --- - -.box-inv-4.small[Enmagicked] - -.box-4.tiny[Trolls, elves, gods/goddesses] - --- - -.box-inv-4.small[Female] - -.box-4.tiny[Arwen, Winky, Athena] - --- - -.box-inv-4.small[Human] - --- - -.pull-left[ -.pull-left[ -.box-inv-4.small[Young] - -.box-4.tiny[Salem witch trials] -] - -.pull-right[ -.box-inv-4.small[Student] - -.box-4.tiny[Hermione Granger,
    Sabrina Spellman] -] -] - --- - -.pull-right[ -.box-inv-4.small[Old] - -.box-4.tiny[Elphaba, Halloween decorations] -] - ---- - -# Connection to theory - -.pull-left[ - -
    - Salem witch trials -
    - -] - -.pull-right[ -
    - Salem witch trials -
    -] - -??? - -Accusations typically targeted successful women; women who worked with medicine; women who posed a threat to the patriarchy. In real life, it was a misogynistic tool for maintaining social order. - -What went wrong? The theory was wrong, yes, but also the indicators weren’t connected to reality - ---- - -# Outcomes and programs - -.box-4.medium[Outcome variable] - -.box-inv-4.sp-after-half.SMALL[Thing you're measuring] - --- - -.box-4.medium[Outcome change] - -.box-inv-4.sp-after-half.SMALL[∆ in thing you're measuring over time] - --- - -.box-4.medium[Program effect] - -.box-inv-4.SMALL[∆ in thing you're measuring over time *because of* the program] - ---- - -# Outcomes and programs - -
    - Outcomes and program effect -
    - ---- - -# Connecting measurment to programs - -.box-inv-4.medium.sp-after-half[Measurable definition of program effect] - --- - -.box-inv-4.medium.sp-after-half[Ideal measurement] - --- - -.box-inv-4.medium.sp-after-half[Feasible measurement] - --- - -.box-inv-4.medium[Connection to real world] - ---- - -layout: false -name: causal-models -class: center middle section-title section-title-6 animated fadeIn - -# Causal models - ---- - -layout: true -class: title title-6 - ---- - -# Types of data - -.pull-left[ - -.box-inv-6.medium[Experimental] - -.box-6[You have control over which units get treatment] - -] - --- - -.pull-right[ - -.box-inv-6.medium[Observational] - -.box-6[You don't have control over which units get treatment] - -] - --- - -.box-inv-6.medium.sp-before[Which kind lets you prove causation?] - ---- - -# Causation with observational data - -.box-inv-6.medium.sp-after[Can you prove causation
    with observational data?] - --- - -.box-inv-6.medium[Why is it so controversial
    to use observational data?] - ---- - -layout: false -class: bg-full -background-image: url("img/04/too-much-rct.jpg") - ---- - -layout: true -class: title title-6 - ---- - -# The causal revolution - -.pull-left-narrow[ -
    - The Book of Why -
    -] - -.pull-right-wide.center[ -
    - Judea Pearl -
    -] - ---- - -# Causal diagrams - -.box-inv-6.medium[Directed acyclic graphs (DAGs)] - -.pull-left[ - -.box-6.SMALL[**Directed**: Each node has an arrow that points to another node] - -.box-6.SMALL[**Acyclic**: You can't cycle back to a node (and arrows only have one direction)] - -.box-6.SMALL[**Graph**: It's… um… a graph] - -] - -.pull-right[ - -```{r simple-dag, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 14) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` - -] - ---- - -# Causal diagrams - -.box-inv-6.medium[Directed acyclic graphs (DAGs)] - -.pull-left[ - -.box-6.SMALL[Graphical model of the process that generates the data] - -.box-6.SMALL[Maps your philosophical model] - -.box-6.SMALL[Fancy math ("*do*-calculus") tells you what to control for to isolate and identify causation] - -] - -.pull-right[ - -![](`r knitr::fig_chunk("simple-dag", "png")`) - -] - ---- - -# Acyclicalness - -.box-inv-6[What if there's something that really is cyclical?] - --- - -.box-6[Wealth → Power → Wealth] - --- - -.box-6.sp-after[**This isn't acyclic!**
    Wealth ↔ Power] - --- - -.box-inv-6[Split the node into different time periods] - --- - -.box-6[Wealth*t* - 1 → Power*t* → Wealth*t*] - ---- - -# How to draw a DAG - -.box-inv-6.medium[What is the causal effect of an
    additional year of education on earnings?] - --- - -.box-6[Step 1: List variables] - --- - -.box-6[Step 2: Simplify] - --- - -.box-6[Step 3: Connect arrows] - --- - -.box-6[Step 4: Use logic and math to determine
    which nodes and arrows to measure] - ---- - -# 1. List variables - -.box-6.sp-after[Education (treatment) → Earnings (outcome)] - -.center.float-left.sp-after-half[ -.box-inv-6[Location] .box-inv-6[Ability] .box-inv-6[Demographics] -] - -.center.float-left.sp-after-half[ -.box-inv-6[Socioeonomic status] .box-inv-6[Year of birth] -] - -.center.float-left[ -.box-inv-6[Compulsory schooling laws] .box-inv-6[Job connections] -] - ---- - -# 2. Simplify - -.box-6.sp-after[Education (treatment) → Earnings (outcome)] - -.center.float-left.sp-after-half[ -.box-inv-6[Location] .box-inv-3[Ability] .box-inv-3[Demographics] -] - -.center.float-left.sp-after-half[ -.box-inv-3[Socioeonomic status] .box-inv-6[Year of birth] -] - -.center.float-left[ -.box-inv-6[Compulsory schooling laws] .box-inv-6[Job connections] -] - -.box-inv-5[Background] - ---- - -# 3. Draw arrows - -.pull-left-narrow[ - -.box-inv-6[Education causes earnings] - -] - -.pull-right-wide[ - -```{r edu-earn-simple, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -edu_earn_coords <- list(x = c(Edu = 2, Earn = 4, Year = 2, Bkgd = 4, - Loc = 3, JobCx = 3, Req = 1, U1 = 3), - y = c(Edu = 2, Earn = 2, Year = 3, Bkgd = 3, - Loc = 3, JobCx = 1, Req = 2, U1 = 4)) - -dagify( - Earn ~ Edu, - exposure = "Edu", - outcome = "Earn", - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - ---- - -# 3. Draw arrows - -.pull-left-narrow[ - -.box-inv-6[Background, year of birth, location, job connections, and school requirements all cause education] - -] - -.pull-right-wide[ - -```{r edu-earn-2, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu, - Edu ~ Req + Loc + Bkgd + Year, - exposure = "Edu", - outcome = "Earn", - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - coord_cartesian(ylim = c(1, 3)) + - theme_dag() -``` - -] - ---- - -# 3. Draw arrows - -.pull-left-narrow[ - -.box-inv-6[Background, year of birth, and location all cause earnings too] - -] - -.pull-right-wide[ - -```{r edu-earn-3, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - exposure = "Edu", - outcome = "Earn", - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - ---- - -# 3. Draw arrows - -.pull-left-narrow[ - -.box-inv-6[Education causes job earnings] - -] - -.pull-right-wide[ - -```{r edu-earn-4, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - exposure = "Edu", - outcome = "Earn", - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - ---- - -# 3. Draw arrows - -.pull-left-narrow[ - -.box-inv-6[Location and background are probably related, but neither causes the other. Something unobservable (U1) does that.] - -] - -.pull-right-wide[ - -```{r edu-earn-full, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - ---- - -# Let the computer do this! - -.box-inv-6.large.sp-after-half[dagitty.net] - -.box-inv-6.large[**ggdag** package in R] - ---- - -layout: false -name: paths-doors-adjustment -class: center middle section-title section-title-5 animated fadeIn - -# Paths, doors,
    and adjustment - ---- - -layout: true -class: title title-5 - ---- - -# Causal identification - -.pull-left-narrow[ - -.box-inv-5[All these nodes are related; there's correlation between them all] - -.box-inv-5[We care about Edu → Earn, but what do we do about all the other nodes?] - -] - -.pull-right-wide[ - -![](`r knitr::fig_chunk("edu-earn-full", "png")`) - -] - ---- - -# Causal identification - -.box-inv-5.medium[A causal effect is *identified* if the association between treatment and outcome is propertly stripped and isolated] - ---- - -# Paths and associations - -.box-inv-5.medium[Arrows in a DAG transmit associations] - -.box-inv-5.medium[You can redirect and control those paths by "adjusting" or "conditioning"] - ---- - -# Three types of associations - -.pull-left-3[ -.box-5.medium[Confounding] - -```{r confounding-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Common cause] -] - -.pull-middle-3.center[ -.box-5.medium[Causation] - -```{r mediation-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Mediation] -] - -.pull-right-3[ -.box-5.medium[Collision] - -```{r collision-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Selection /
    endogeneity] -] - ---- - -# Confounding - -.pull-left-wide[ -```{r confounding-dag-big, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 15) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - -.pull-right-narrow[ -.box-inv-5.medium[**X** causes **Y**] - -.box-inv-5.medium[But **Z** causes both **X** and **Y**] - -.box-inv-5.medium[**Z** * confounds* the **X** → **Y** association] -] - ---- - -# Paths - -.pull-left-wide[ -![](`r knitr::fig_chunk("confounding-dag-big", "png")`) -] - -.pull-right-narrow[ -.box-inv-5[Paths between
    **X** and **Y**?] - -.box-5[**X** → **Y**] - -.box-5[**X** ← **Z** → **Y**] - -.box-inv-5.medium[**Z** is a *backdoor*] -] - ---- - -# *d*-connection - -.pull-left-wide[ -![](`r knitr::fig_chunk("confounding-dag-big", "png")`) -] - -.pull-right-narrow[ -.box-inv-5[**X** and **Y** are
    "*d*-connected" because associations can pass through **Z**] - -.box-5[The relationship between **X** and **Y** is not identified / isolated] -] - ---- - -# Effect of money on elections - -.box-inv-5.medium[What are the paths
    between **money** and **win margin**?] - -.pull-left[ -```{r money-elections, echo=FALSE, fig.width=5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Campaign money", "Y" = "Win margin", - "Z" = "Candidate quality") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_label_repel(aes(label = label), nudge_y = c(0.25, -0.25, 0.25)) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` -] - --- - -.pull-right[ -.box-5[Money → Margin] - -.box-5[Money ← Quality → Margin] - -.box-inv-5[Quality is a *backdoor*] -] - ---- - -# Closing doors - -.pull-left[ -```{r confounding-dag-adjusted, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - tidy_dagitty() %>% - adjust_for("Z") %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(shape = adjusted, color = adjusted), size = 15) + - geom_dag_text(color = "black", size = 5) + - scale_shape_manual(values = c(15, 19)) + - scale_color_manual(values = c("#FFDC00", "grey80")) + - guides(shape = FALSE, color = FALSE) + - theme_dag() -``` -] - -.pull-right[ -.box-inv-5.medium[Close the backdoor by adjusting for **Z**] -] - ---- - -# Closing doors - -.pull-left[ -.box-inv-5.small[Find the part of campaign money that is explained by quality, remove it.
    This is the residual part of money.] - -.box-inv-5.small[Find the part of win margin that is explained by quality, remove it. This is the residual part of win margin.] - -.box-inv-5.small[Find the relationship between the residual part of money and residual part of win margin.
    **This is the causal effect**.] -] - -.pull-right[ -```{r money-elections-adjusted, echo=FALSE, fig.width=5, fig.height=3.3, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Campaign money", "Y" = "Win margin", - "Z" = "Candidate quality") -) %>% - tidy_dagitty() %>% - node_status() %>% - adjust_for("Z") %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status, shape = adjusted), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_label_repel(aes(label = label), nudge_y = c(0.25, -0.25, 0.25)) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#FFDC00") + - scale_shape_manual(values = c(15, 19)) + - guides(color = FALSE, shape = FALSE) + - theme_dag() -``` -] - ---- - -# Closing doors - -.pull-left[ -.box-inv-5[Compare candidates as if they had the same quality] - -.box-inv-5[Remove differences that are predicted by quality] - -.box-inv-5[Hold quality constant] -] - -.pull-right[ -![](`r knitr::fig_chunk("money-elections-adjusted", "png")`) -] - ---- - -# How to adjust - -.box-inv-5.medium[Include term in regression] - -$$ -\begin{aligned} -\text{Win margin} =& \beta_0 + \beta_1 \text{Campaign money} +\\ -& \beta_2 \text{Candidate quality} + \varepsilon -\end{aligned} -$$ - -.center.float-left[ -.box-inv-5.medium[Matching] .box-inv-5.medium[Stratifying] - -.box-inv-5.medium.sp-before-half[Inverse probability weighting] -] - ---- - -# *d*-separation - -.pull-left[ -![](`r knitr::fig_chunk("confounding-dag-adjusted", "png")`) -] - -.pull-right[ -.box-inv-5.medium[If we control for **Z**,
    **X** and **Y** are now
    "*d*-separated" and the association is isolated!] - -] - ---- - -# Closing backdoors - -.pull-left-narrow[ -.box-inv-5[Block all backdoor paths to identify the main pathway you care about] -] - -.pull-right-wide[ -![](`r knitr::fig_chunk("edu-earn-full", "png")`) -] - ---- - -# All paths - -.pull-left.left[ -.box-5.smaller[Education → Earnings] - -.box-5.smaller[Education → Job connections → Earnings] - -.box-7.smaller[Education ← Background → Earnings] - -.box-7.smaller[Education ← Background ← U1 → Location → Earnings] - -.box-7.smaller[Education ← Location → Earnings] - -.box-7.smaller[Education ← Location ← U1 → Background → Earnings] - -.box-7.smaller[Education ← Year → Earnings] -] - -.pull-right[ -![](`r knitr::fig_chunk("edu-earn-full", "png")`) -] - ---- - -# All paths - -.pull-left-narrow[ -.box-inv-5[Adjust for **Location**, **Background** and **Year** to isolate the **Education → Earnings** causal effect] -] - -.pull-right-wide[ -```{r edu-earn-adjust, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - adjust_for(c("Loc", "Bkgd", "Year")) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status, shape = adjusted), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - scale_shape_manual(values = c(15, 19)) + - guides(color = FALSE, shape = FALSE) + - theme_dag() -``` -] - ---- - -# Let the computer do this! - -.box-inv-5.large.sp-after-half[dagitty.net] - -.box-inv-5.large[The **ggdag** and **dagitty**
    packages in R] - ---- - -# How do you know if this is right? - -.pull-left-narrow[ -.box-inv-5[You can test the implications of the model to see if they're right in your data] - -$$ -X \perp Y\ |\ Z -$$ - -.box-5.small[X is independent of Y, given Z] -] - -.pull-right-wide[ -
    - Dagitty implications -
    -] - ---- - -# Causation - -.pull-left-wide[ -```{r causation-dag-big, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X + Z, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 15) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - -.pull-right-narrow[ -.box-inv-5.medium[**X** causes **Y**] - -.box-inv-5.medium[**X** causes
    **Z** which causes **Y**] - -.box-5.medium[Should you control for **Z**?] -] - ---- - -# Causation - -.pull-left-wide[ -![](`r knitr::fig_chunk("causation-dag-big", "png")`) -] - -.pull-right-narrow[ -.box-5.medium[Should you control for **Z**?] - -.box-inv-5.medium[No!] - -.box-inv-5[Overcontrolling] -] - ---- - -# Causation and overcontrolling - -.pull-left-wide[ -![](`r knitr::fig_chunk("edu-earn-full", "png")`) -] - -.pull-right-narrow[ -.box-inv-5[Should you control for job connections?] -] - ---- - -# Colliders - -.pull-left-wide[ -```{r collider-dag-big, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 15) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - -.pull-right-narrow[ -.box-inv-5.medium[**X** causes **Z**] - -.box-inv-5.medium[**Y** causes **Z**] - -.box-5.medium[Should you control for **Z**?] -] - ---- - -# Programming and social skills - -.box-inv-5.medium[Do programming skills reduce social skills?] - -.pull-left[ -```{r programming-social-skills, echo=FALSE, fig.width=5, fig.height=3, out.width="100%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Programming skills", "Y" = "Social skills", - "Z" = "Hired by a tech company") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_label_repel(aes(label = label), nudge_y = c(0.25, 0.25, -0.25)) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` -] - --- - -.pull-right[ -.box-5[You go to a tech company and conduct a survey. You find a negative relationship!
    Is it real?] -] - ---- - -# Programming and social skills - -.box-inv-5.medium[Do programming skills reduce social skills?] - -.pull-left[ -![](`r knitr::fig_chunk("programming-social-skills", "png")`) -] - -.pull-right[ -.box-5[No! **Hired by a tech company** is a collider and we controlled for it.] - -.box-5[This inadvertently connected the two.] -] - ---- - -layout: false - -.pull-left[ -.box-5.medium[Colliders can create
    fake causal effects] -] - -.pull-right[ -.box-5.medium[Colliders can hide
    real causal effects] -] - -```{r bulls-scores, echo=FALSE, fig.width=6, fig.height=3.3, out.width="50%"} -basketball <- read.csv(text = 'PointsPerGame,HeightInches - 20.8,75 - 17.6,81 - 12.7,78 - 10.9,76 - 10.7,83 - 10.1,75 - 9,81 - 8.8,82 - 8.8,84 - 8.7,81 - 5.5,75 - 5.5,73 - 3.9,81 - 2.3,84 - 2.1,81 - 1.8,77 - 1,74 - 0.5,80') - -ggplot(basketball, aes(x = HeightInches, y = PointsPerGame)) + - geom_point() + - geom_smooth() + - labs(x = "Height in Inches", - y = "Points Per Game", - title = "Chicago Bulls 2009-10") -# Data from Scott Andrews at StatCrunch -``` - -.center[ -.box-inv-5[Height is unrelated to basketball skill… among NBA players] -] - ---- - -layout: true -class: title title-5 - ---- - -# Colliders and selection bias - -```{r nba-dag, echo=FALSE, fig.width=5, fig.height=3, out.width="65%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Height", "Y" = "Points scored", - "Z" = "Being in the NBA") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_label_repel(aes(label = label), nudge_y = c(0.25, 0.25, -0.25)) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - ---- - -# Three types of associations - -.pull-left-3[ -.box-5.medium[Confounding] - -![](`r knitr::fig_chunk("confounding-dag", "png")`) - -.box-inv-5.small[Common cause] -] - -.pull-middle-3[ -.box-5.medium[Causation] - -![](`r knitr::fig_chunk("mediation-dag", "png")`) - -.box-inv-5.small[Mediation] -] - -.pull-right-3[ -.box-5.medium[Collision] - -![](`r knitr::fig_chunk("collision-dag", "png")`) - -.box-inv-5.small[Selection /
    endogeneity] -] - diff --git a/slides/04_corr-exensiones.Rmd b/slides/04_corr-exensiones.Rmd new file mode 100644 index 00000000..900e469b --- /dev/null +++ b/slides/04_corr-exensiones.Rmd @@ -0,0 +1,926 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 4: +## .orange[Tamaños de efecto, otros coeficientes y matrices]] +] +] +--- + +layout: true +class: animated, fadeIn + +--- +class: roja + +## Objetivos de la sesión de hoy + +### 1. Calcular e interpretar el coeficiente de determinación + +### 2. Aprender a interpretar los tamaños de efecto del coeficiente de correlación + + +### 3. Conocer, calcular e interpretar coeficientes de correlación alternativos para datos ordinales + +### 4. Reportar e interpretar matrices de correlación + +--- +class: middle center + +# Lectura: Field 205-244 Correlation + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### .yellow[1- Resumen sesión anterior] + +### 2- Magnitud de la correlación + +### 3- Otros coeficientes de correlación + +### 4- Matrices de correlación + +] + +--- + + +```{r, echo=F} +# Datos ejemplo +id <- seq(1,8) +educ <-c(2,3,4,4,5,7,8,8) +ing <-c(1,3,3,5,4,7,9,11) +data <-data.frame(id,educ,ing) + +data$mean_educ <- mean(data$educ) +data$dif_m_educ <- data$educ-data$mean_educ +data$dif_m_educ2 <- (data$dif_m_educ)^2 +data$mean_ing <- mean(data$ing) +data$dif_m_ing <- data$ing-data$mean_ing +data$dif_m_ing2 <- (data$dif_m_ing)^2 +data$dif_xy <- + data$dif_m_educ* + data$dif_m_ing + + +``` + + + + +## Hacia la covarianza + +.pull-left[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = educ, x = id)) + + geom_point() + + geom_hline(yintercept=5.12) + + annotate("text", x=7.5, y=4.8, + label="Prom Educ") + + geom_segment(aes(y=5.12, yend = educ, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,8,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Educación +] + +] +.pull-right[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = ing, x = id)) + + geom_point() + + geom_hline(yintercept=5.375) + + annotate("text", x=7.5, y=4.8, + label="Prom Ing.") + + geom_segment(aes(y=5.375, yend = ing, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,12,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Ingreso +] + +] + +--- +# Covarianza + + +.pull-left[ +.center[ +### Varianza educación (x) + +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})(x_{i}-\bar{x})\over {N - 1}}$$ + +] + + +] +.pull-right[ + +.center[ +### Varianza ingreso (y) + +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})^{2}\over {N - 1}}$$ +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})(y_{i}-\bar{y})\over {N - 1}}$$ + +] + +] + +-- +.content-box-red[ +$$Covarianza=cov(x,y) = \frac{\sum_{i=1}^{N}(x_i - \bar{x})(y_i - \bar{y})} {N-1}$$ +] + + +--- +## Cálculo correlación + +.pull-left[ +.small[ +```{r echo=FALSE} +data %>% select(educ,ing,dif_m_educ2,dif_m_ing2, dif_xy) %>% kbl(., digits = 2) %>% + scroll_box(width = "500px", height = "450px") +``` + +] +] + +.pull-right[ +$$r=\frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}}$$ + + +```{r} +sum(data$dif_xy); sum(data$dif_m_educ2);sum(data$dif_m_ing2) +``` + +] + +--- + +## Cálculo correlación +.pull-left[ + + +\begin{align*} +r &= \frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}} \\ \\ +&= \frac{51.625}{ \sqrt{36.875*79.875}} \\ \\ +&= \frac{51.625}{54.271} \\ \\ +&= 0.951 +\end{align*} + +] + +-- + +.pull-right[ + +```{r} +cor(data$educ,data$ing) +``` +] + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters4.png) +] +--- +class: roja + +## Interpretación + +- El coeficiente de correlación (de Pearson) es una medida de asociación lineal entre variables, que indica el sentido y la fuerza de la asociación + +-- + +- Varía entre +1 y -1, donde + + - valores .black[positivos] indican relación directa (aumenta una, aumenta la otra) + + - valores .black[negativos] indican relación inversa (aumenta una, disminuye la otra) + + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### .yellow[2- Magnitud de la correlación] + +### 3- Otros coeficientes de correlación + +### 4- Matrices de correlación + +] + + +--- +.pull-left[ + +Si dos variables covarían, entonces .red[comparten varianza] +![](img/ingresoeduc.png) + +] + +-- + +.pull-right[ + +
    +
    +# .red[¿Cuánta varianza comparten? + +] +] +--- +# Estableciendo la varianza compartida + +.pull-left[ + +La varianza compartida puede pensarse como 1 - la varianza no compartida (o varianza única) + +La varianza no compartida se asocia al concepto de .red[residuos], es decir, la cantidad de varianza que no está contenida en la correlación + +] + +.pull-right[ +![](https://multivariada.netlify.app/slides/04-regsimple2/residuals.png) +] +--- +# Estableciendo la varianza compartida +.pull-left[ +Para poder obtener los residuos vamos a generar una .red[recta] que represente la asociación entre las variables. Esta es la recta de **regresión** 1 + +Esta recta nos permite obtener un valor estimado de $y$ para cada valor de $x$ +
    +
    +
    +
    +
    +
    +
    +
    +
    +.small[[1] Detalles próximo semestre] +] + +.pull-right[ + +```{r echo=FALSE, fig.width=8, fig.height=6} +ggplot(data, + aes(x=educ, y=ing)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20))+ + stat_smooth(method = "lm", + se = FALSE, fullrange = T) +``` + +] + +--- +.pull-left[ +.small[ +```{r} +reg1 <- lm(ing ~ educ, data=data) +data$predict <-predict.lm(reg1) + +plot2 <-ggplot(data, + aes(x=educ, y=predict)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20))+ + stat_smooth(method = "lm", + se = FALSE, fullrange = T) + + +``` +] +] +.pull-right[ +.small[ +```{r} +plot2 +``` +] + +] + +--- + +.center[ +![:scale 90%](img/resid_3.JPG) +] + +\begin{align*} +SS_{tot}&=SS_{reg} + SS_{error} \\ +\Sigma(y_i - \bar{y})^2&=\Sigma (\hat{y}_i-\bar{y})^2 +\Sigma(y_i-\hat{y}_i)^2 +\end{align*} + +--- +# Varianza compartida + +$$SS_{tot}=SS_{reg} + SS_{error}$$ + +-- + +$$\frac{SS_{tot}}{SS_{tot}}=\frac{SS_{reg}}{SS_{tot}} + \frac{SS_{error}}{SS_{tot}}$$ + +-- + +$$1=\frac{SS_{reg}}{SS_{tot}}+\frac{SS_{error}}{SS_{tot}}$$ + +$$\frac{SS_{reg}}{SS_{tot}}= 1- \frac{SS_{error}}{SS_{tot}}=R^2$$ + +--- +# ¿Qué relación tienen $R^2$ y $r$ (correlación)? + +.pull-left[ +$R^2=r^2$ + +Por lo tanto, en nuestro ejemplo: +.small[ +```{r} +cor(data$educ,data$ing) +``` +] +\begin{align*} +r&= 0.95 \\ +r^2&=0.95 ^2 \\ +r^2&=0.902 = R^2 +\end{align*} + +] +-- + +.pull-right[ +.content-box-red[ +Intepretación: + +_El porcentaje de varianza compartida entre educación e ingreso es de 90%._ + +_Es decir, ambas variables comparten el 90% de su varianza_ +]] +--- +# $R^2$ o coeficiente de determinación + +- ¿Cuánto de los ingresos se asocia a educación, y viceversa? + +-- + +- el $R^2$ + - es la proporción de la varianza de Y que se asocia a X + + - varía entre 0 y 1, y usualmente se expresa en porcentaje + +--- +# Criterios de Cohen para tamaños de efecto + +- El coeficiente de correlación $r$ de Pearson nos indica la dirección y la fuerza/intensidad de la asociación. + +- Pero, ¿qué nos dice el tamaño del coeficiente? Por ejemplo, si el coeficiente es 0.5, ¿esto es pequeño, mediano o grande? + +- Cohen (1988, 1992) sugiere una serie de criterios convencionales para clasificar efectos como pequeños, medianos o grandes. + +--- +class: center +![:scale 75%](img/cohen.png) +--- +class: middle + +## Para el caso de correlación de Pearson, Cohen sugiere: + +- tamaño de efecto .roja[pequeño]: alrededor de .red[0.10] + +- tamaño de efecto .roja[mediano]: alrededor de .red[0.30] + +- tamaño de efecto .roja[grande]: alrededor de .red[0.50] y más + + +--- +# Resumen + +- **Coeficiente de determinación** $R^2$: varianza compartida entre variables + +- **Tamaño de efecto:** valores convencionales para establecer si una magnitud es pequeña, mediana o grande. + +- Varianza compartida y tamaño de efecto son relevantes de reportar junto a la información de inferencia y significación estadística (próxima unidad) + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Magnitud de la correlación + +### .yellow[3- Otros coeficientes de correlación] + +### 4- Matrices de correlación + +] + + +--- +# Coeficiente de correlación de Spearman + + - se utiliza para variables ordinales y/o cuando se se violan supuestos de distribución normal + + - es equivalente a la correlación de Pearson del ranking de las observaciones analizadas + + - es alta cuando las observaciones tienen un ranking similar + + +--- +# Cálculo Spearman + +- se le asigna un número de ranking a cada valor + +- el valor más bajo obtiene el mayor ranking, y el más alto el menor + +- en caso de valores repetidos se produce un "empate", y entonces el ranking se promedia. + +--- +# Ejemplo: variable Educación + +.medium[ +.pull-left-narrow[ +```{r} +data$educ +``` + +Como estos valores están ordenados de menor a mayor, entonces en principio los valores de ranking serían: + +`8 7 6 5 4 3 2 1`. +] + +.pull-right-wide[ + +
    +
    + +Pero, hay un par de empates + + - el valor 4 está repetido y corresponden a los ranking 6 y 5, por lo tanto a ambos se les asigna el promedio de estos rankings: 5,5 + + - lo mismo sucede con el valor 8 en los rankings 2 y 1, por lo tanto a ambos se les asigna el valor 1,5 ] + +] + +```{r, include=FALSE} +data_spr <- data %>% select (educ, ing) %>% mutate(., educ_rank=c(8,7,5.5,5.5,4,3,1.5,1.5)) %>% mutate(., ing_rank=c(8,6.5,6.5,4,5,3,2,1)) +``` + +--- + +`r chunk_reveal(chunk_name="spearman")` + +```{r spearman, include=FALSE, echo=F} +data %>% + select (educ, ing) %>% + mutate(., educ_rank=c(8,7,5.5,5.5,4,3,1.5,1.5)) %>% + mutate(., ing_rank=c(8,6.5,6.5,4,5,3,2,1)) + +cor(data_spr$educ_rank, data_spr$ing_rank) +``` + + +--- +Cálculo directo en `R`: + +```{r} +cor.test(data$educ, data$ing, "two.sided", "spearman") +``` + + +--- +# Coeficiente de correlación Tau de Kendall + +.pull-left[ +- Recomendado cuando hay un set de datos pequeños y/o cuando hay mucha repetición de observaciones en el mismo ranking + +- Se basa en una comparación de pares de observaciones concordantes y discordantes + +] + +-- + +.pull-right[ + +En `R`: + +.small[ +```{r echo=TRUE} +cor.test(data$educ, data$ing, + "two.sided", + "kendall") +``` +] +] + +--- +class: inverse +## Recomendaciones generales + +- Pearson es el coeficiente de correlación por defecto + +- En caso de datos en escala de medición ordinal se puede aplicar Spearman (aunque Pearson es también aceptado en este contexto). + +- Kendall se reporta en casos muy específicos donde hay un set de datos pequeños y repetición de observaciones en el mismo ranking ("empates") + + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Magnitud de la correlación + +### 3- Otros coeficientes de correlación + +### .yellow[4- Matrices de correlación] + +] + + +--- +# Matriz de correlación + +- una matriz de correlación se conforma cuando se representa simultaneamente más de un par de asociaciones bivariadas + +- por ejemplo, si agregamos la variable edad a nuestra base de datos: + +```{r} +data$edad <- c(50, 65, 27, 15, 40, 22, 25, 38) +``` + +Tenemos .red[3 variables], y por lo tanto los siguentes pares de correlaciones posibles: ingreso-educación, ingreso-edad, y educación-edad + + +--- + +`r chunk_reveal(chunk_name="matriz1")` + +```{r matriz1, include=FALSE, echo=F} +cor_mat <- data %>% + select(educ, ing, edad) %>% + cor(.) +cor_mat +round(cor_mat, 3) +sjPlot::tab_corr(cor_mat) +``` + + +--- +# Matriz de correlaciones + +- tabla de doble entrada donde las variables se presentan tanto en las filas como en las columnas + +- el coeficiente de correlación correspondiente al par de variables aparece en la intersección de las columnas + +- existe información redundante + + - las correlaciones se repiten, dado que las variables se intersectan dos veces en la tabla + - la diagonal tiene solo unos (1), ya que es la correlación de la variable consigo misma + +--- + +`r chunk_reveal(chunk_name="matriz2", title="# Ajustando tabla sjPlot::tab_corr" )` + +```{r matriz2, include=FALSE, echo=F} + +sjPlot::tab_corr(cor_mat, + triangle = "lower", + title = "Tabla de correlaciones del ejemplo" + ) +``` + +--- + +`r chunk_reveal(chunk_name="matriz3", title="# Matriz con librería corrplot")` + +```{r matriz3, eval = F, echo = F} +library(corrplot) +corrplot(cor_mat) +``` + +--- + +`r chunk_reveal(chunk_name="matriz31", title="# Matriz con librería corrplot")` + +```{r matriz31, eval = F, echo = F} +corrplot(cor_mat, + method = 'number') +``` + +--- + +`r chunk_reveal(chunk_name="matriz4", title="# corrplot")` + +```{r matriz4, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + method = 'number', + type = 'lower', + number.cex = 3, + tl.cex = 3, + diag = FALSE) +``` + +--- + +`r chunk_reveal(chunk_name="matriz5", title="# corrplot.mixed")` + +```{r matriz5, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot.mixed(cor_mat, + lower = "number", + upper = "circle", + number.cex = 3, + tl.cex = 3, + diag = "n") +``` + +--- + +`r chunk_reveal(chunk_name="matriz6", title="# corrplot.mixed")` + +```{r matriz6, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + type = "lower", + addCoef.col = 'white', + number.cex = 3, + tl.cex = 3, + diag = FALSE) +``` + +--- + +`r chunk_reveal(chunk_name="matriz7", title="# corrplot.mixed")` + +```{r matriz7, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + type = "lower", + addCoef.col = 'white', + number.cex = 3, + tl.cex = 3, + diag = FALSE, + method = 'square') +``` + +--- +# Consideraciones sobre casos perdidos + +- Cuando hay casos perdidos en las variables, ¿cuál es el número de casos de la matriz de correlaciones? + +- Las correlaciones bivariadas se calculan con información completa, por lo tanto si hay un dato perdido en una de las variables se elimina el caso completo + +- Algunas funciones lo hacen de manera automática, en otras hay que especificarlo previamente + +--- +# Ejemplo + +Agreguemos un caso perdido (NA en R) a una de nuestras variables + +```{r} +data$edad +data$edad <-replace(data$edad, data$edad==15, NA) +data$edad +``` + +--- +.medium[ +```{r} +cormat_NA <- data %>% select(educ, ing, edad) %>% cor(.) +round(cormat_NA,3) +``` +```{r} +cormat_listwise <- data %>% select(educ, ing, edad) %>% + cor(., use = "complete.obs") +round(cormat_listwise, 3) +``` +] + + +--- +# Eliminación de casos perdidos por lista (o listwise) + +- las correlaciones bivariadas requieren eliminación de casos perdidos tipo listwise, es decir, si hay un dato perdido en una variable se pierde el caso completo + +- Para conocer el número de casos con que se calculó la matriz: + +.medium[ +```{r} +sum(complete.cases(data)) +``` +] + +Por lo tanto, en el cálculo se perdió el caso o fila completa de la base (de 8 casos) que tenía el caso perdido. + +--- +# Eliminación de casos perdidos por pares (o pairwise) + +- en el caso de las matrices de correlaciones es posible tomar la opción .red[pairwise] para casos perdidos + +- pairwise quiere decir que se eliminan los casos perdidos solo cuando afectan al cálculo de un par específico. + +- en el caso de nuestro ejemplo, si consideramos listwise todas las correlaciones tienen 7 casos, pero con pairwise la correlación entre educación e ingreso mantendría 8 casos. + +- por lo tanto, pairwise permite mayor rescate de información y mayor N en el cálculo de matrices de correlaciones + +--- +# Opción pairwise en correlación en R + +```{r} +data %>% select(educ, ing, edad) %>% + cor(., use = "pairwise") +``` +En este caso vemos una leve variación en el coeficiente comprometido (educ-ing) comparando listwise con pairwise + + +--- +# Número de casos pairwise +```{r} +data %>% select(educ,ing,edad) %>% psych::pairwiseCount() +``` +Se indica que en las correlaciones con edad se utilizaron 7 casos, mientras en la correlación entre ingreso y educación se utilizan 8 casos con el método pairwise + + +--- +class: inverse +## Resumen + +.medium[ +- Reporte de correlación: además de reportar la intensidad y el sentido, acompañar reporte de tamaño de efecto y varianza compartida $R^2$ + +- Correlación de Spearman: apropiada para variables ordinales, equivale a la correlación de Pearson del ranking de las variables + +- Matriz de correlaciones: forma tradicional de reporte de asociaciones de las variables de una investigación, importante considerar tratamiento de datos perdidos (listwise o pairwise) +] + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
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    +bit.ly/correlacional-asistencia +] +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + + + + +```{css, eval = FALSE, echo = FALSE} +.remark-code{line-height: 1.5; font-size: 80%} + +@media print { + .has-continuation { + display: block; + } +} + +code.r.hljs.remark-code{ + position: relative; + overflow-x: hidden; +} + + +code.r.hljs.remark-code:hover{ + overflow-x:visible; + width: 500px; + border-style: solid; +} +``` + + + + diff --git a/slides/04_corr-exensiones.html b/slides/04_corr-exensiones.html new file mode 100644 index 00000000..1dc4e4d5 --- /dev/null +++ b/slides/04_corr-exensiones.html @@ -0,0 +1,1851 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-2-1.png b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-2-1.png new file mode 100644 index 00000000..e0f4fb9c Binary files /dev/null and b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-2-1.png differ diff --git a/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-3-1.png b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-3-1.png new file mode 100644 index 00000000..e6479f86 Binary files /dev/null and b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-3-1.png differ diff --git a/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-7-1.png b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-7-1.png new file mode 100644 index 00000000..4f95b1d0 Binary files /dev/null and b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-7-1.png differ diff --git a/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-9-1.png b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-9-1.png new file mode 100644 index 00000000..6e5b33d1 Binary files /dev/null and b/slides/04_corr-exensiones_files/figure-html/unnamed-chunk-9-1.png differ diff --git a/slides/04_corr-extensiones.Rmd b/slides/04_corr-extensiones.Rmd new file mode 100644 index 00000000..900e469b --- /dev/null +++ b/slides/04_corr-extensiones.Rmd @@ -0,0 +1,926 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 4: +## .orange[Tamaños de efecto, otros coeficientes y matrices]] +] +] +--- + +layout: true +class: animated, fadeIn + +--- +class: roja + +## Objetivos de la sesión de hoy + +### 1. Calcular e interpretar el coeficiente de determinación + +### 2. Aprender a interpretar los tamaños de efecto del coeficiente de correlación + + +### 3. Conocer, calcular e interpretar coeficientes de correlación alternativos para datos ordinales + +### 4. Reportar e interpretar matrices de correlación + +--- +class: middle center + +# Lectura: Field 205-244 Correlation + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### .yellow[1- Resumen sesión anterior] + +### 2- Magnitud de la correlación + +### 3- Otros coeficientes de correlación + +### 4- Matrices de correlación + +] + +--- + + +```{r, echo=F} +# Datos ejemplo +id <- seq(1,8) +educ <-c(2,3,4,4,5,7,8,8) +ing <-c(1,3,3,5,4,7,9,11) +data <-data.frame(id,educ,ing) + +data$mean_educ <- mean(data$educ) +data$dif_m_educ <- data$educ-data$mean_educ +data$dif_m_educ2 <- (data$dif_m_educ)^2 +data$mean_ing <- mean(data$ing) +data$dif_m_ing <- data$ing-data$mean_ing +data$dif_m_ing2 <- (data$dif_m_ing)^2 +data$dif_xy <- + data$dif_m_educ* + data$dif_m_ing + + +``` + + + + +## Hacia la covarianza + +.pull-left[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = educ, x = id)) + + geom_point() + + geom_hline(yintercept=5.12) + + annotate("text", x=7.5, y=4.8, + label="Prom Educ") + + geom_segment(aes(y=5.12, yend = educ, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,8,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Educación +] + +] +.pull-right[ +```{r, echo=FALSE} +ggplot( + data = data, + aes(y = ing, x = id)) + + geom_point() + + geom_hline(yintercept=5.375) + + annotate("text", x=7.5, y=4.8, + label="Prom Ing.") + + geom_segment(aes(y=5.375, yend = ing, + xend=id, color = "resid")) + + scale_color_discrete(name="") + + theme(text = element_text(size = 20)) + + scale_y_continuous(breaks=seq(0,12,1)) + + scale_x_continuous(breaks=seq(0,8,1)) + +``` +.center[ +### Ingreso +] + +] + +--- +# Covarianza + + +.pull-left[ +.center[ +### Varianza educación (x) + +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})^{2}\over {N - 1}}$$ +$$\sigma_{edu}^{2}={\sum_{i=1}^{N}(x_{i}-\bar{x})(x_{i}-\bar{x})\over {N - 1}}$$ + +] + + +] +.pull-right[ + +.center[ +### Varianza ingreso (y) + +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})^{2}\over {N - 1}}$$ +$$\sigma_{ing}^{2}={\sum_{i=1}^{N}(y_{i}-\bar{y})(y_{i}-\bar{y})\over {N - 1}}$$ + +] + +] + +-- +.content-box-red[ +$$Covarianza=cov(x,y) = \frac{\sum_{i=1}^{N}(x_i - \bar{x})(y_i - \bar{y})} {N-1}$$ +] + + +--- +## Cálculo correlación + +.pull-left[ +.small[ +```{r echo=FALSE} +data %>% select(educ,ing,dif_m_educ2,dif_m_ing2, dif_xy) %>% kbl(., digits = 2) %>% + scroll_box(width = "500px", height = "450px") +``` + +] +] + +.pull-right[ +$$r=\frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}}$$ + + +```{r} +sum(data$dif_xy); sum(data$dif_m_educ2);sum(data$dif_m_ing2) +``` + +] + +--- + +## Cálculo correlación +.pull-left[ + + +\begin{align*} +r &= \frac{\sum(x-\bar{x})(y-\bar{y})}{\sqrt{\sum(x-\bar{x})^{2} \sum(y-\bar{y})^{2}}} \\ \\ +&= \frac{51.625}{ \sqrt{36.875*79.875}} \\ \\ +&= \frac{51.625}{54.271} \\ \\ +&= 0.951 +\end{align*} + +] + +-- + +.pull-right[ + +```{r} +cor(data$educ,data$ing) +``` +] + +--- +# Nubes de puntos (scatterplot) + +.center[ +![](img/scatters4.png) +] +--- +class: roja + +## Interpretación + +- El coeficiente de correlación (de Pearson) es una medida de asociación lineal entre variables, que indica el sentido y la fuerza de la asociación + +-- + +- Varía entre +1 y -1, donde + + - valores .black[positivos] indican relación directa (aumenta una, aumenta la otra) + + - valores .black[negativos] indican relación inversa (aumenta una, disminuye la otra) + + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### .yellow[2- Magnitud de la correlación] + +### 3- Otros coeficientes de correlación + +### 4- Matrices de correlación + +] + + +--- +.pull-left[ + +Si dos variables covarían, entonces .red[comparten varianza] +![](img/ingresoeduc.png) + +] + +-- + +.pull-right[ + +
    +
    +# .red[¿Cuánta varianza comparten? + +] +] +--- +# Estableciendo la varianza compartida + +.pull-left[ + +La varianza compartida puede pensarse como 1 - la varianza no compartida (o varianza única) + +La varianza no compartida se asocia al concepto de .red[residuos], es decir, la cantidad de varianza que no está contenida en la correlación + +] + +.pull-right[ +![](https://multivariada.netlify.app/slides/04-regsimple2/residuals.png) +] +--- +# Estableciendo la varianza compartida +.pull-left[ +Para poder obtener los residuos vamos a generar una .red[recta] que represente la asociación entre las variables. Esta es la recta de **regresión** 1 + +Esta recta nos permite obtener un valor estimado de $y$ para cada valor de $x$ +
    +
    +
    +
    +
    +
    +
    +
    +
    +.small[[1] Detalles próximo semestre] +] + +.pull-right[ + +```{r echo=FALSE, fig.width=8, fig.height=6} +ggplot(data, + aes(x=educ, y=ing)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20))+ + stat_smooth(method = "lm", + se = FALSE, fullrange = T) +``` + +] + +--- +.pull-left[ +.small[ +```{r} +reg1 <- lm(ing ~ educ, data=data) +data$predict <-predict.lm(reg1) + +plot2 <-ggplot(data, + aes(x=educ, y=predict)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20))+ + stat_smooth(method = "lm", + se = FALSE, fullrange = T) + + +``` +] +] +.pull-right[ +.small[ +```{r} +plot2 +``` +] + +] + +--- + +.center[ +![:scale 90%](img/resid_3.JPG) +] + +\begin{align*} +SS_{tot}&=SS_{reg} + SS_{error} \\ +\Sigma(y_i - \bar{y})^2&=\Sigma (\hat{y}_i-\bar{y})^2 +\Sigma(y_i-\hat{y}_i)^2 +\end{align*} + +--- +# Varianza compartida + +$$SS_{tot}=SS_{reg} + SS_{error}$$ + +-- + +$$\frac{SS_{tot}}{SS_{tot}}=\frac{SS_{reg}}{SS_{tot}} + \frac{SS_{error}}{SS_{tot}}$$ + +-- + +$$1=\frac{SS_{reg}}{SS_{tot}}+\frac{SS_{error}}{SS_{tot}}$$ + +$$\frac{SS_{reg}}{SS_{tot}}= 1- \frac{SS_{error}}{SS_{tot}}=R^2$$ + +--- +# ¿Qué relación tienen $R^2$ y $r$ (correlación)? + +.pull-left[ +$R^2=r^2$ + +Por lo tanto, en nuestro ejemplo: +.small[ +```{r} +cor(data$educ,data$ing) +``` +] +\begin{align*} +r&= 0.95 \\ +r^2&=0.95 ^2 \\ +r^2&=0.902 = R^2 +\end{align*} + +] +-- + +.pull-right[ +.content-box-red[ +Intepretación: + +_El porcentaje de varianza compartida entre educación e ingreso es de 90%._ + +_Es decir, ambas variables comparten el 90% de su varianza_ +]] +--- +# $R^2$ o coeficiente de determinación + +- ¿Cuánto de los ingresos se asocia a educación, y viceversa? + +-- + +- el $R^2$ + - es la proporción de la varianza de Y que se asocia a X + + - varía entre 0 y 1, y usualmente se expresa en porcentaje + +--- +# Criterios de Cohen para tamaños de efecto + +- El coeficiente de correlación $r$ de Pearson nos indica la dirección y la fuerza/intensidad de la asociación. + +- Pero, ¿qué nos dice el tamaño del coeficiente? Por ejemplo, si el coeficiente es 0.5, ¿esto es pequeño, mediano o grande? + +- Cohen (1988, 1992) sugiere una serie de criterios convencionales para clasificar efectos como pequeños, medianos o grandes. + +--- +class: center +![:scale 75%](img/cohen.png) +--- +class: middle + +## Para el caso de correlación de Pearson, Cohen sugiere: + +- tamaño de efecto .roja[pequeño]: alrededor de .red[0.10] + +- tamaño de efecto .roja[mediano]: alrededor de .red[0.30] + +- tamaño de efecto .roja[grande]: alrededor de .red[0.50] y más + + +--- +# Resumen + +- **Coeficiente de determinación** $R^2$: varianza compartida entre variables + +- **Tamaño de efecto:** valores convencionales para establecer si una magnitud es pequeña, mediana o grande. + +- Varianza compartida y tamaño de efecto son relevantes de reportar junto a la información de inferencia y significación estadística (próxima unidad) + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Magnitud de la correlación + +### .yellow[3- Otros coeficientes de correlación] + +### 4- Matrices de correlación + +] + + +--- +# Coeficiente de correlación de Spearman + + - se utiliza para variables ordinales y/o cuando se se violan supuestos de distribución normal + + - es equivalente a la correlación de Pearson del ranking de las observaciones analizadas + + - es alta cuando las observaciones tienen un ranking similar + + +--- +# Cálculo Spearman + +- se le asigna un número de ranking a cada valor + +- el valor más bajo obtiene el mayor ranking, y el más alto el menor + +- en caso de valores repetidos se produce un "empate", y entonces el ranking se promedia. + +--- +# Ejemplo: variable Educación + +.medium[ +.pull-left-narrow[ +```{r} +data$educ +``` + +Como estos valores están ordenados de menor a mayor, entonces en principio los valores de ranking serían: + +`8 7 6 5 4 3 2 1`. +] + +.pull-right-wide[ + +
    +
    + +Pero, hay un par de empates + + - el valor 4 está repetido y corresponden a los ranking 6 y 5, por lo tanto a ambos se les asigna el promedio de estos rankings: 5,5 + + - lo mismo sucede con el valor 8 en los rankings 2 y 1, por lo tanto a ambos se les asigna el valor 1,5 ] + +] + +```{r, include=FALSE} +data_spr <- data %>% select (educ, ing) %>% mutate(., educ_rank=c(8,7,5.5,5.5,4,3,1.5,1.5)) %>% mutate(., ing_rank=c(8,6.5,6.5,4,5,3,2,1)) +``` + +--- + +`r chunk_reveal(chunk_name="spearman")` + +```{r spearman, include=FALSE, echo=F} +data %>% + select (educ, ing) %>% + mutate(., educ_rank=c(8,7,5.5,5.5,4,3,1.5,1.5)) %>% + mutate(., ing_rank=c(8,6.5,6.5,4,5,3,2,1)) + +cor(data_spr$educ_rank, data_spr$ing_rank) +``` + + +--- +Cálculo directo en `R`: + +```{r} +cor.test(data$educ, data$ing, "two.sided", "spearman") +``` + + +--- +# Coeficiente de correlación Tau de Kendall + +.pull-left[ +- Recomendado cuando hay un set de datos pequeños y/o cuando hay mucha repetición de observaciones en el mismo ranking + +- Se basa en una comparación de pares de observaciones concordantes y discordantes + +] + +-- + +.pull-right[ + +En `R`: + +.small[ +```{r echo=TRUE} +cor.test(data$educ, data$ing, + "two.sided", + "kendall") +``` +] +] + +--- +class: inverse +## Recomendaciones generales + +- Pearson es el coeficiente de correlación por defecto + +- En caso de datos en escala de medición ordinal se puede aplicar Spearman (aunque Pearson es también aceptado en este contexto). + +- Kendall se reporta en casos muy específicos donde hay un set de datos pequeños y repetición de observaciones en el mismo ranking ("empates") + + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Magnitud de la correlación + +### 3- Otros coeficientes de correlación + +### .yellow[4- Matrices de correlación] + +] + + +--- +# Matriz de correlación + +- una matriz de correlación se conforma cuando se representa simultaneamente más de un par de asociaciones bivariadas + +- por ejemplo, si agregamos la variable edad a nuestra base de datos: + +```{r} +data$edad <- c(50, 65, 27, 15, 40, 22, 25, 38) +``` + +Tenemos .red[3 variables], y por lo tanto los siguentes pares de correlaciones posibles: ingreso-educación, ingreso-edad, y educación-edad + + +--- + +`r chunk_reveal(chunk_name="matriz1")` + +```{r matriz1, include=FALSE, echo=F} +cor_mat <- data %>% + select(educ, ing, edad) %>% + cor(.) +cor_mat +round(cor_mat, 3) +sjPlot::tab_corr(cor_mat) +``` + + +--- +# Matriz de correlaciones + +- tabla de doble entrada donde las variables se presentan tanto en las filas como en las columnas + +- el coeficiente de correlación correspondiente al par de variables aparece en la intersección de las columnas + +- existe información redundante + + - las correlaciones se repiten, dado que las variables se intersectan dos veces en la tabla + - la diagonal tiene solo unos (1), ya que es la correlación de la variable consigo misma + +--- + +`r chunk_reveal(chunk_name="matriz2", title="# Ajustando tabla sjPlot::tab_corr" )` + +```{r matriz2, include=FALSE, echo=F} + +sjPlot::tab_corr(cor_mat, + triangle = "lower", + title = "Tabla de correlaciones del ejemplo" + ) +``` + +--- + +`r chunk_reveal(chunk_name="matriz3", title="# Matriz con librería corrplot")` + +```{r matriz3, eval = F, echo = F} +library(corrplot) +corrplot(cor_mat) +``` + +--- + +`r chunk_reveal(chunk_name="matriz31", title="# Matriz con librería corrplot")` + +```{r matriz31, eval = F, echo = F} +corrplot(cor_mat, + method = 'number') +``` + +--- + +`r chunk_reveal(chunk_name="matriz4", title="# corrplot")` + +```{r matriz4, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + method = 'number', + type = 'lower', + number.cex = 3, + tl.cex = 3, + diag = FALSE) +``` + +--- + +`r chunk_reveal(chunk_name="matriz5", title="# corrplot.mixed")` + +```{r matriz5, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot.mixed(cor_mat, + lower = "number", + upper = "circle", + number.cex = 3, + tl.cex = 3, + diag = "n") +``` + +--- + +`r chunk_reveal(chunk_name="matriz6", title="# corrplot.mixed")` + +```{r matriz6, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + type = "lower", + addCoef.col = 'white', + number.cex = 3, + tl.cex = 3, + diag = FALSE) +``` + +--- + +`r chunk_reveal(chunk_name="matriz7", title="# corrplot.mixed")` + +```{r matriz7, eval = F, echo = F, fig.width=2, fig.height=2} +corrplot(cor_mat, + type = "lower", + addCoef.col = 'white', + number.cex = 3, + tl.cex = 3, + diag = FALSE, + method = 'square') +``` + +--- +# Consideraciones sobre casos perdidos + +- Cuando hay casos perdidos en las variables, ¿cuál es el número de casos de la matriz de correlaciones? + +- Las correlaciones bivariadas se calculan con información completa, por lo tanto si hay un dato perdido en una de las variables se elimina el caso completo + +- Algunas funciones lo hacen de manera automática, en otras hay que especificarlo previamente + +--- +# Ejemplo + +Agreguemos un caso perdido (NA en R) a una de nuestras variables + +```{r} +data$edad +data$edad <-replace(data$edad, data$edad==15, NA) +data$edad +``` + +--- +.medium[ +```{r} +cormat_NA <- data %>% select(educ, ing, edad) %>% cor(.) +round(cormat_NA,3) +``` +```{r} +cormat_listwise <- data %>% select(educ, ing, edad) %>% + cor(., use = "complete.obs") +round(cormat_listwise, 3) +``` +] + + +--- +# Eliminación de casos perdidos por lista (o listwise) + +- las correlaciones bivariadas requieren eliminación de casos perdidos tipo listwise, es decir, si hay un dato perdido en una variable se pierde el caso completo + +- Para conocer el número de casos con que se calculó la matriz: + +.medium[ +```{r} +sum(complete.cases(data)) +``` +] + +Por lo tanto, en el cálculo se perdió el caso o fila completa de la base (de 8 casos) que tenía el caso perdido. + +--- +# Eliminación de casos perdidos por pares (o pairwise) + +- en el caso de las matrices de correlaciones es posible tomar la opción .red[pairwise] para casos perdidos + +- pairwise quiere decir que se eliminan los casos perdidos solo cuando afectan al cálculo de un par específico. + +- en el caso de nuestro ejemplo, si consideramos listwise todas las correlaciones tienen 7 casos, pero con pairwise la correlación entre educación e ingreso mantendría 8 casos. + +- por lo tanto, pairwise permite mayor rescate de información y mayor N en el cálculo de matrices de correlaciones + +--- +# Opción pairwise en correlación en R + +```{r} +data %>% select(educ, ing, edad) %>% + cor(., use = "pairwise") +``` +En este caso vemos una leve variación en el coeficiente comprometido (educ-ing) comparando listwise con pairwise + + +--- +# Número de casos pairwise +```{r} +data %>% select(educ,ing,edad) %>% psych::pairwiseCount() +``` +Se indica que en las correlaciones con edad se utilizaron 7 casos, mientras en la correlación entre ingreso y educación se utilizan 8 casos con el método pairwise + + +--- +class: inverse +## Resumen + +.medium[ +- Reporte de correlación: además de reportar la intensidad y el sentido, acompañar reporte de tamaño de efecto y varianza compartida $R^2$ + +- Correlación de Spearman: apropiada para variables ordinales, equivale a la correlación de Pearson del ranking de las variables + +- Matriz de correlaciones: forma tradicional de reporte de asociaciones de las variables de una investigación, importante considerar tratamiento de datos perdidos (listwise o pairwise) +] + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + + + + +```{css, eval = FALSE, echo = FALSE} +.remark-code{line-height: 1.5; font-size: 80%} + +@media print { + .has-continuation { + display: block; + } +} + +code.r.hljs.remark-code{ + position: relative; + overflow-x: hidden; +} + + +code.r.hljs.remark-code:hover{ + overflow-x:visible; + width: 500px; + border-style: solid; +} +``` + + + + diff --git a/slides/04_corr-extensiones.html b/slides/04_corr-extensiones.html new file mode 100644 index 00000000..10fdef37 --- /dev/null +++ b/slides/04_corr-extensiones.html @@ -0,0 +1,1851 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-2-1.png b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-2-1.png new file mode 100644 index 00000000..e0f4fb9c Binary files /dev/null and b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-2-1.png differ diff --git a/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-3-1.png b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-3-1.png new file mode 100644 index 00000000..e6479f86 Binary files /dev/null and b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-3-1.png differ diff --git a/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-7-1.png b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-7-1.png new file mode 100644 index 00000000..4f95b1d0 Binary files /dev/null and b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-7-1.png differ diff --git a/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-9-1.png b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-9-1.png new file mode 100644 index 00000000..6e5b33d1 Binary files /dev/null and b/slides/04_corr-extensiones_files/figure-html/unnamed-chunk-9-1.png differ diff --git a/slides/05-class.Rmd b/slides/05-class.Rmd deleted file mode 100644 index bc4c9e13..00000000 --- a/slides/05-class.Rmd +++ /dev/null @@ -1,986 +0,0 @@ ---- -title: "Class 5: DAGs, do()ing stuff, and measuring stuff" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 5 - -.class-info[ - -**February 9, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[DAGs] - --- - -.box-6.medium.sp-after-half[Logic models, DAGs, and measurement] - --- - -.box-2.medium.sp-after-half[Potential outcomes vs. do() notation] - --- - -.box-4.medium.sp-after-half[do-calculus, adjustment, and CATEs] - ---- - -layout: false -name: dags -class: center middle section-title section-title-5 animated fadeIn - -# DAGs - ---- - -layout: true -class: middle - ---- - -.box-5.large[Causal thinking is necessary—
    even for descriptive work!] - ---- - -.center[ - -
    - Supercentenarians -
    - -] - -??? - -Necessity of causal thinking: Mention the McElreath tweet on birth certificate introduction and death ages: - - - ---- - -layout: false - -.box-5.less-medium["Every time I get a haircut, I become more mature!"] - -
    - Benjamin haircut -
    - ---- - -.box-5.less-medium["Every time I get a haircut, I become more mature!"] - -```{r echo=FALSE, fig.width=5, fig.height=2, out.width="70%", fig.align="center"} -set.seed(1234) -dagify( - Y ~ X, - coords = list(x = c(X = 1, Y = 3), - y = c(X = 1, Y = 1)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Haircut", "Y" = "Maturity") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_text(aes(label = label), nudge_y = 0.1, - size = 5, color = "black") + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - coord_cartesian(ylim = c(0.9, 1.2)) + - guides(color = "none") + - theme_dag() -``` - -.center[$$E[\text{Maturity} \mid \operatorname{do} (\text{Get haircut})]$$] - ---- - -.box-5.less-medium[Getting older opens a backdoor path] - -```{r echo=FALSE, fig.width=5, fig.height=3, out.width="70%", fig.align="center"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Haircut", "Y" = "Maturity", - "Z" = "Getting older") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_text(aes(label = label), nudge_y = 0.25, - size = 5, color = "black") + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - coord_cartesian(ylim = c(0.9, 2.2)) + - guides(color = "none") + - theme_dag() -``` - ---- - -class: middle - -.box-5.medium[But what does that mean,
    "opening a backdoor path"?] - -.box-5.medium[How does statistical association
    get passed through paths?] - ---- - -.box-5.less-medium.sp-after[How do I know which of these is which?] - -.center[ -
    - DAG associations -
    -] - ---- - -class: middle - -.pull-left[ -
    - Switch and slider -
    -] - -.pull-right[ -```{r confounding-dag-alone, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - ---- - -class: middle - -.pull-left[ -
    - Switch and slider -
    -] - -.pull-right[ -```{r mediating-dag-alone, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - ---- - -class: middle - -.pull-left[ -
    - Switch and slider -
    -] - -.pull-right[ -```{r colliding-dag-alone, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "grey80", size = 17) + - geom_dag_text(color = "black", size = 5) + - theme_dag() -``` -] - ---- - -.center[ - -] - ---- - -.center[ - -] - ---- - -.center[ - -] - ---- - -layout: true -class: middle - ---- - -.box-5.medium[d-separation] - -.box-inv-5[Except for the one arrow between X and Y,
    no statistical association can flow between X and Y] - -.box-inv-5[This is **identification**—
    all alternative stories are ruled out
    and the relationship is isolated] - ---- - -.box-5.large[How exactly do colliders
    mess up your results?] - -.box-5.medium[It looks like you can
    still get the effect of X on Y] - ---- - -```{r nba-dag, echo=FALSE, fig.width=5, fig.height=3, out.width="65%"} -set.seed(1234) -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y", - labels = c("X" = "Height", "Y" = "Points", - "Z" = "Being in the NBA") -) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 15) + - geom_dag_text(color = "white", size = 5) + - geom_dag_text(aes(label = label), nudge_y = c(0.25, 0.25, -0.25), color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = "none") + - theme_dag() -``` - ---- - -.center[ -
    - Facebook collider -
    -] - -??? - - - - - ---- - -layout: false -class: title title-5 - -# Does niceness improve appearance? - -```{r niceness-appearance-data, include=FALSE} -set.seed(1234) -nice_appearance_data <- tibble(niceness = rnorm(10000, mean = 0, sd = 1), - appearance = rnorm(10000, mean = 0, sd = 1)) - -plot_labels <- tribble( - ~x, ~y, ~label, - -2, 2, "Mean and attractive", - 2, 2, "Nice and attractive", - 2, -2, "Nice and ugly", - -2, -2, "Mean and ugly", -) - -full_sample <- ggplot(nice_appearance_data, aes(x = niceness, y = appearance)) + - geom_point(color = "grey40", size = 0.5, alpha = 0.8) + - geom_smooth(size = 2, method = "lm") + - labs(x = "Niceness", y = "Appearance") + - theme_bw(base_family = "Fira Sans Condensed") - -full_sample_annotated <- full_sample + - geom_vline(xintercept = 0) + - geom_hline(yintercept = 0) + - geom_label(data = plot_labels, aes(label = label, x = x, y = y), - fill = "#CF4446", color = "white", - family = "Fira Sans Condensed", fontface = "bold") - -collider_bias <- ggplot(filter(nice_appearance_data, - !(niceness <= 0 & appearance <= 0)), - aes(x = niceness, y = appearance)) + - geom_point(color = "grey40", size = 0.5, alpha = 0.8) + - geom_vline(xintercept = 0) + - geom_hline(yintercept = 0) + - geom_smooth(size = 2, method = "lm") + - geom_label(data = plot_labels, aes(label = label, x = x, y = y), - fill = "#CF4446", color = "white", - family = "Fira Sans Condensed", fontface = "bold") + - labs(x = "Niceness", y = "Appearance") + - theme_bw(base_family = "Fira Sans Condensed") -collider_bias - -collider_dag <- dagify( - Y ~ X, - Z ~ X + Y, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)), - exposure = "X", - outcome = "Y" -) %>% - tidy_dagitty() %>% - node_status() %>% - mutate(across(c(name, to), - ~recode(., X = "Niceness", Y = "Appearance", - Z = "People you've dated"))) %>% - mutate(arrow_color = ifelse(to == "People you've dated", "#F012BE", "black")) - -plot_dag <- ggplot(collider_dag, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_color = arrow_color)) + - geom_dag_point(aes(color = status), size = 17) + - geom_dag_text(data = filter(collider_dag, name != "People you've dated"), - color = "black", size = 5, nudge_y = -0.2, - family = "Fira Sans Condensed", fontface = "bold") + - geom_dag_text(data = filter(collider_dag, name == "People you've dated"), - color = "black", size = 5, nudge_y = 0.2, - family = "Fira Sans Condensed", fontface = "bold") + - scale_color_manual(values = c("#2ECC40", "#0074D9"), - na.value = "grey80", guide = "none") + - coord_cartesian(xlim = c(0.8, 3.2), ylim = c(0.8, 2.2)) + - theme_dag() -``` - -.pull-left[ - -```{r echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -full_sample -``` - -] - --- - -.pull-right[ - -```{r echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -full_sample_annotated -``` - -] - ---- - -class: title title-5 - -# Collider distorts the true effect! - -.pull-left[ - -```{r echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -plot_dag -``` - -] - --- - -.pull-right[ - -```{r echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -collider_bias -``` - -] - ---- - -.box-5.large[Effect of race on police use of force
    using administrative data] - ---- - -.box-5.medium[Effect of race on police use of force
    using administrative data] - -.pull-left[ -
    - Use of force -
    -] - -.pull-right[ -
    - Use of force -
    -] - ---- - -layout: true -class: middle - ---- - -.box-5.large[Smoking → Cardiac arrest example] - -??? - -| Person | Smoker | Cardiac arrest | Cholesterol | Weight | Lifestyle healthiness | -|--------|--------|----------------|-------------|--------|-----------------------| -| 1 | TRUE | TRUE | 150 | 170 | 6 | -| 2 | TRUE | FALSE | 170 | 180 | 3 | -| 3 | FALSE | FALSE | 130 | 110 | 9 | -| 4 | FALSE | TRUE | 140 | 140 | 8 | -| 5 | TRUE | TRUE | 120 | 150 | 2 | -| 6 | TRUE | FALSE | 130 | 230 | 3 | -| 7 | FALSE | FALSE | 140 | 250 | 10 | - -```text -dag { -bb="0,0,1,1" -"Cardiac arrest" [outcome,pos="0.599,0.432"] -Cholesterol [pos="0.415,0.440"] -Lifestyle [pos="0.156,0.317"] -Smoking [exposure,pos="0.243,0.428"] -Weight [adjusted,pos="0.297,0.255"] -Cholesterol -> "Cardiac arrest" -Lifestyle -> Smoking -Lifestyle -> Weight -Smoking -> Cholesterol -Weight -> Cholesterol -} -``` - ---- - -.box-5.less-medium[How do you know
    if the DAG is right??] - -.box-5.less-medium[How can you be sure
    you include everything in a DAG?] - -.box-5.less-medium[How do you know when to stop?] - -.box-5.less-medium[Is there a rule of thumb
    for the number of nodes?] - -??? - - - ---- - -.box-5.medium[Why can we combine nodes in a DAG if they
    don't represent the same concept?] - -.box-5.medium[Why include unmeasurable things in a DAG?] - -??? - - - ---- - -.box-5.medium[Why do DAGs have to be acyclic?] - -.box-5.medium[What if there really is reverse causation?] - ---- - -.box-5.large[How do we actually
    adjust for these things?] - ---- - -layout: false -name: logic-dag -class: center middle section-title section-title-6 animated fadeIn - -# Logic models, DAGs,
    and measurement - ---- - -layout: true -class: middle - ---- - -.box-6.large[What's the difference between
    logic models and DAGs?] - -.box-inv-6[Can't I just remake my logic model in Dagitty and be done?] - ---- - -layout: false -class: title title-6 - -# DAGs vs. Logic models - -.box-6.large[DAGs are a *statistical* tool] - -.box-inv-6[Describe a data-generating process
    and isolate/identify relationships] - --- - -.box-6.large.sp-before[Logic models are a *managerial* tool] - -.box-inv-6[Oversee the inner workings of a program and its theory] - ---- - -class: middle - -.pull-left[ -
    - Green space in Berkeley -
    -] - -.pull-right[ -
    - Covid green spaces -
    -] - -??? - - - - - ---- - -layout: false -name: po-do -class: center middle section-title section-title-2 animated fadeIn - -# Potential outcomes
    vs. do() notation - ---- - -layout: true -class: title title-2 - ---- - -# Expectations - -
    - -.large[ -$$\operatorname{E}(\cdot), \mathbf{E}(\cdot), \mathbb{E}(\cdot) \quad \text{vs.}\quad \operatorname{P}(\cdot)$$ -] - -.box-inv-2.small[Basically a fancy way of saying "average"] - ---- - -# Outcomes and programs - -
    - Outcomes and program effect -
    - ---- - -# Causal effects with potential outcomes - -$$ -\begin{aligned} -& \textbf{Potential outcomes notation:} \\ -\delta\ =&\ {\textstyle \frac{1}{n} \sum_{i=1}^n} Y_i (1) - Y_i (0) \\ -& \\ -& \text{or alternatively with } \textbf{E} \\ -\delta\ =&\ \textbf{E} [Y_i (1) - Y_i (0)] \\ -\end{aligned} -$$ - ---- - -# Causal effects with do() - -$$ -\begin{aligned} -& \textbf{Pearl notation:} \\ -\delta\ =&\ \textbf{E}[Y_i \mid \operatorname{do}(X = 1) - Y_i \mid \operatorname{do}(X = 0)] \\ -& \\ -& \text{or more simply} \\ -\delta\ =&\ \textbf{E} [Y_i \mid \operatorname{do}(X)] \\ -\end{aligned} -$$ - ---- - -layout: false -class: middle - -
    - -.large[ -$$ -\begin{aligned} -\textbf{E} [Y_i\ \mid\ &\operatorname{do}(X)] \quad \\ -&= \\ -\quad \textbf{E} [Y_i (1&) - Y_i (0)] -\end{aligned} -$$ -] - ---- - -.box-2.medium[We can't see this] - -$$\textbf{E} [Y_i \mid \operatorname{do}(X)] \quad \text{or} \quad \textbf{E} [Y_i (1) - Y_i (0)]$$ - -.box-2.medium[So we find the average causal effect (ACE)] - -$$ -\hat{\delta} = \textbf{E} [Y_i \mid X = 1] - \textbf{E} [Y_i \mid X = 0] -$$ - ---- - -.center[ -
    - Correlation is not causation -
    -] - ---- - -layout: false -name: po-do -class: center middle section-title section-title-4 animated fadeIn - -# do-calculus,
    adjustment, and CATEs - ---- - -layout: true -class: title title-4 - ---- - -# DAGs and identification - --- - -.box-inv-4.medium[DAGs are a statistical tool, but they don't
    tell you what statistical method to use] - --- - -.box-inv-4.medium[DAGs help you with the **identification strategy**] - ---- - -layout: false -class: middle - -
    - Thomas Massie tweet -
    - -??? - - - ---- - -class: title title-4 - -# Easist identification - -.box-inv-4.medium[Identification through research design] - -.box-inv-4.sp-after[RCTs] - -.box-4[When treatment is randomized, delete all arrows going into it] - -.box-4.medium[No need for any do-calculus!] - ---- - -class: title title-4 - -# Most other identification - -.box-inv-4.medium[Identification through do-calculus] - -.box-inv-4.sp-after[Rules for graph surgery] - -.box-4[Backdoor adjustment and frontdoor adjustment
    are special common patterns of do-calculus] - ---- - -class: middle - -.box-4.medium[Where can we learn more about *do*-calculus?] - -.center[[Here!](https://www.andrewheiss.com/blog/2021/09/07/do-calculus-backdoors/)] - -.center[ -
    - Do-calculus -
    -] - ---- - -**Rule 1**: Decide if we can ignore an observation - -.small[ -$$P(y \mid z, \operatorname{do}(x), w) = P(y \mid \operatorname{do}(x), w) \qquad \text{ if } (Y \perp Z \mid W, X)_{G_{\overline{X}}}$$ -] - -
    **Rule 2**: Decide if we can treat an intervention as an observation - -.small[ -$$P(y \mid \operatorname{do}(z), \operatorname{do}(x), w) = P(y \mid z, \operatorname{do}(x), w) \qquad \text{ if } (Y \perp Z \mid W, X)_{G_{\overline{X}, \underline{Z}}}$$ -] - -
    **Rule 3**: Decide if we can ignore an intervention - -.small[ -$$P(y \mid \operatorname{do}(z), \operatorname{do}(x), w) = P(y \mid \operatorname{do}(x), w) \qquad \text{ if } (Y \perp Z \mid W, X)_{G_{\overline{X}, \overline{Z(W)}}}$$ -] - ---- - -class: middle - -
    - Backdoor adjustment derivation -
    - ---- - -.box-4.medium[Adjusting for backdoor confounding] - -.center[ -
    - Backdoor adjustment -
    -] - - ---- - -layout: true -class: middle - ---- - -.box-4.medium[Adjusting for frontdoor confounding] - -??? - -Smoking/tar + Uber - -Effect of shared rides on tips; use frontdoor magic - -Like IV but in reverse: - -- IV: instrument → treatment → outcome -- Frontdoor: treatment → instrumenty-mediator → outcome - -```text -dag { -bb="0,0,1,1" -"Actually take shared ride" [pos="0.528,0.508"] -"Authorize shared ride" [exposure,pos="0.288,0.504"] -"Lots of unobserved stuff" [pos="0.521,0.342"] -"Tip driver" [outcome,pos="0.743,0.518"] -"Actually take shared ride" -> "Tip driver" -"Authorize shared ride" -> "Actually take shared ride" -"Lots of unobserved stuff" -> "Authorize shared ride" -"Lots of unobserved stuff" -> "Tip driver" -} -``` - - - ---- - -.box-4.medium[More complex DAGs without
    obvious backdoor or frontdoor solutions] - -.box-4.sp-after[Chug through the rules of do-calculus
    to see if the relationship is identifiable] - -.center[[Causal Fusion](https://causalfusion.net/)] - ---- - -.center[ -
    - Causal Fusion example -
    -] - ---- - -.center[ -
    - Causal Fusion example -
    -] - ---- - -.center[ -
    - Causal Fusion example -
    -] - ---- - -.center[ -
    - Causal Fusion example -
    -] - ---- - -.box-4.less-medium.sp-after[When things are identified, there are
    still arrows leading into Y.
    What do we do with those?
    How do you explain those relationships?] - --- - -.box-4.less-medium[Outcomes have multiple causes.
    How do you justify that your proposed
    cause is the most causal factor?] - -??? - -100% depends on your research question - ---- - -.box-4.medium[Why can't we just subtract the averages
    between treated and untreated groups?] - ---- - -.box-4.medium[When you're making groups for CATE, how do
    you decide what groups to put people in?] - -
    - -.center[[Slides from lecture](https://evalf22.classes.andrewheiss.com/slides/05-slides.html#58)] - ---- - -layout: false -class: title title-4 - -# Unconfoundedness assumption - -.box-inv-4[How can we assume/pretend that treatment was
    randomly assigned within each age?] - -.box-inv-4[It seems unlikely. Wouldn't there be other factors within the older/younger group that make a person more/less likely to engage in treatment (e.g., health status)?] - -
    - -.center[[Slides from lecture](https://evalf22.classes.andrewheiss.com/slides/05-slides.html#58)] - ---- - -class: middle - -.box-4.medium[Does every research question
    need an identification strategy?] - --- - -.box-inv-4.huge.sp-after[No!] - -.box-4[Correlation alone is okay!
    Can lead to more focused causal questions later!] - ---- - -class: middle - -.center[ -
    - Moderna EBV trials -
    -] - -??? - -A correlational study found that MS was strongly associated with Epstein-Barr virus (EBV) - they don't know the exact mechanism yet, but because of mRNA vaccine technology, they can develop vaccines against EBV and help stop MS. They'll figure out exact mechanisms later. For now, they've started clinical trials. - - diff --git a/slides/05-inferencia1.Rmd b/slides/05-inferencia1.Rmd new file mode 100644 index 00000000..6f39abe8 --- /dev/null +++ b/slides/05-inferencia1.Rmd @@ -0,0 +1,802 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 5: +## .orange[Introducción a la Inferencia Estadística]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### .yellow[1- Resumen sesión anterior] + +### 2- Inferencia y muestras + +### 3- Aleatoridad y probabilidad + +### 4- Curva normal y puntajes Z + +] +--- +.right[ # Resumen +] + +- Reporte de correlación: además de reportar la intensidad y el sentido, acompañar reporte de tamaño de efecto y varianza compartida $R^2$ + +-- + +- Correlación de Spearman: apropiada para variables ordinales, equivale a la correlación de Pearson del ranking de las variables + +-- + +- Matriz de correlaciones: forma tradicional de reporte de asociaciones de las variables de una investigación, importante considerar tratamiento de datos perdidos (listwise o pairwise) + + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### .yellow[2- Inferencia y muestras] + +### 3- Aleatoridad y probabilidad + +### 4- Curva normal y puntajes Z + +] + +--- +# Inferencia: la otra parte del análisis + +Cuando se analizan datos, 2 cosas principales + +.pull-left[ +.content-box-yellow[ +- cálculo del estadístico: + + - promedio + + - desviación estándar + + - correlación + + - ... +] +] + +.pull-right[ +.content-box-red[ +- inferencia: ¿existe este estadístico en la población? + + - probabilidad + + - error + + - significación + +] +] +--- + + +![:scale 50%](https://multivariada.netlify.app/slides/images/cafe.png) + + + +--- +class: middle +# Motivación: + + +[![](https://observatorio.ministeriodesarrollosocial.gob.cl/images/casen_2022.svg)](https://observatorio.ministeriodesarrollosocial.gob.cl/storage/docs/casen/2022/Presentacion%20de%20resultados%20Casen%202022.pdf) +--- + +.pull-left-narrow[ +# Inferencia +] + + +.pull-right-wide[ +¿En qué medida se pueden relacionar resultados que se encuentran en un .green[(sub)conjunto de unidades] con lo que ocurre .red[en general]?] + +-- + +.pull-right-wide[ +Ej: si en un subconjunto de la población encuentro que el promedio de matemáticas es mayor en mujeres que en hombres ¿es esto un .orange[reflejo] de lo que ocurre en general, o se debe solo al .red[azar]? ¿se puede .green[extrapolar] a la poblacion? +] + +??? + +mapa y territorio, Borges +lidiando con el caos y la incertidumbre +la domesticación de la casualidad +error + +--- +background-image: url("https://images.rawpixel.com/image_800/cHJpdmF0ZS9sci9pbWFnZXMvd2Vic2l0ZS8yMDIyLTEyL3JtNjE0LWotYmctMDA4LmpwZw.jpg") +background-size: cover + + +.medium[En aquel Imperio, el Arte de la Cartografía logró tal Perfección que el mapa de una sola Provincia ocupaba toda una Ciudad, y el mapa del Imperio, toda una Provincia. Con el tiempo, estos Mapas Desmesurados no satisficieron y los Colegios de Cartógrafos levantaron un Mapa del Imperio, que tenía el tamaño del Imperio y coincidía puntualmente con él. + +Menos Adictas al Estudio de la Cartografía, las Generaciones Siguientes entendieron que ese dilatado Mapa era Inútil y no sin Impiedad lo entregaron a las Inclemencias del Sol y los Inviernos. En los desiertos del Oeste perduran despedazadas Ruinas del Mapa, habitadas por Animales y por Mendigos; en todo el País no hay otra reliquia de las Disciplinas Geográficas.] + +.small[Suárez Miranda, Viajes de Varones Prudentes, Libro Cuarto, Cap. XLV, Lérida, 1658.] + +-- + +.right[Borges - Del Rigor de la Ciencia] + + +--- +.pull-left-narrow[ + +![](https://multivariada.netlify.app/slides/images/inference1.png) +] +.pull-right-wide[ + +## Conceptos claves de inferencia +- La **inferencia** en estadística se refiere a la relación que existe entre los resultados obtenidos basados en nuestra muestra y la población + +{{content}} + +] + +-- + +- **¿En qué medida podemos hacer inferencias desde nuestra muestra a la población?** + +{{content}} + +-- + +- Un concepto central es la probabilidad de **ERROR** + + +--- +# Parámetros y estadísticos + +---- + +| | Población (parámetro) | Muestra (estadístico) | +|--------------------- |------------ |--------- | +| Promedio | $\mu$ | $\bar{x}$ | +| Varianza | $\sigma²$ | $s²$ | +| Desviación estándar | $\sigma$ | $s$ | +| Correlación | $\rho$ | $r$ | + + +--- +# Muestreo y variabilidad + +¿Cómo es posible que la media x̄ obtenida a partir de una muestra de unos pocos hogares de todos los del país, pueda ser una estimación precisa de µ? + +Una segunda muestra aleatoria obtenida en el mismo momento estaría +formada por hogares distintos y, sin duda, daría un valor distinto de x̄ + +--- +# Muestreo y variabilidad + +**Variabilidad muestral**: el valor de un estadístico varía en un muestreo aleatorio repetido + +¿Cuánto varía? + +¿En qué rangos? + +¿Qué tan **probable** es el rango de variación? + +¿Es un rango aceptable en términos de investigación social? + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Inferencia y muestras + +### 3- .yellow[Aleatoridad y probabilidad] + +### 4- Curva normal y puntajes Z + +] + +--- +.center[ +![:scale 70%](img/karatekid.jpg) +] + +--- +# Aleatoriedad y probabilidad +---- + +.pull-left[ +.content-box-red[ +Llamamos a un fenómeno **aleatorio** si los resultados individuales son inciertos y, sin embargo, existe una **distribución regular** de los resultados después de un gran número de repeticiones.] +] + +-- + +.pull-right[ +.content-box-green[ +La probabilidad de cualquier resultado de un fenómeno aleatorio es la **proporción de veces** que el resultado se da después de una larga serie de +repeticiones + +]] + +--- + + +.pull-left-narrow[ +# Azar y repetición +El comportamiento del azar es impredecible con pocas repeticiones pero presenta un comportamiento regular y predecible con muchas repeticiones. +] + +.pull-right-wide[ +![](img/caras-moneda.png) +] +--- +class: middle + +# (Dato freak) + +.pull-left[ +Cerca del año 1900, el estadístico inglés Karl Pearson lanzó al aire una moneda **24.000** veces. El resultado: 12.012 caras, una proporción de 0,5005.] + +.pull-right[ +![](img/pearson.png) + +] + + +--- +# Dados + +Tenemos 1 dado, cuál es la probabilidad de que salga 3 al lanzarlo? + +- Espacio muestral S= conjunto de todos los resultados posibles + +$$S=\{1,2,3,4,5,6\}$$ + +- N del espacio muestral= 6 sucesos posibles + +- Probabilidad de que salga 3 al tirar el dado= +$\frac{1}{6}=0.166$ + +--- +class: inverse middle right + +Un **modelo de probabilidad** para un fenómeno aleatorio consiste en un espacio muestral S y una asignación de probabilidades P. + +El **espacio muestral $S$** es el conjunto de todos los resultados posibles de un fenómeno aleatorio. + +Un **suceso** es un conjunto de resultados. P asigna un número P(A) a un suceso A como su probabilidad. + +--- +# Reglas modelo de probabilidad + +![](img/reg_prob.png) + + +--- + +# [Dados, probabilidades y distribuciones](https://academo.org/demos/dice-roll-statistics/) + +---- +.pull-left[ +![](img/dice.png) +] + +.pull-right[ +Ejercicio: + + - probar lanzando 1 dado repetidas veces + + - probar con 2 dados + + - ... y con 6 + +-> [link](https://academo.org/demos/dice-roll-statistics/) +] + +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas1.png) +] +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas2.png) +] +--- +# Dados, probabilidades y áreas +.center[ +![](img/areas3.png) +] +--- +# Dados, probabilidades y áreas + +.pull-left[ +![](img/areas4.png) +] + +.pull-right[ +
    + Eventos posibles (espacio muestral S) = 6 = (1,2,3,4,5,6) + + +\begin{align*} +P(x)\geq4&=P(4)+P(5)+P(6) \\ +&=0.1\overline{6}+0.1\overline{6}+0.1\overline{6} \\ +&=0.5 +\end{align*} +] + +--- +# Sucesos con distinta probabilidad + +Ej: suma de 3 dados al azar repetidos +.center[ +![](img/3dice.png) +] + +--- + +.pull-left[ +## Histograma +Frecuencias o probabilidad de cada evento + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black') + +``` + +] + +.pull-right[ +## Curvas de densidad + +Modelo matemático de la distribución + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black')+ + stat_function(fun = dnorm, args = list(mean=mean(data$x), sd=sd(data$x))) + +``` + + +] + +--- + +# Curva de densidad + +.pull-left[ +.medium[ +- describe el aspecto general de una distribución + +- se halla siempre en el eje de las abscisas o por encima de él, y define por debajo un área exactamente igual a 1. + +- El área por debajo de la curva, y entre cualquier intervalo de valores, es la proporción de todas las observaciones que están situadas en dicho intervalo.] +] + +.pull-right[ + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black')+ + stat_function(fun = dnorm, args = list(mean=mean(data$x), sd=sd(data$x))) + +``` + +] + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] + +.pull-right-wide[ + +### 1- Resumen sesión anterior + +### 2- Inferencia y muestras + +### 3- Aleatoridad y probabilidad + +### .yellow[4- Curva normal y puntajes Z] + +] + +--- +background-image: url("img/normal.png") +background-size: cover +# Distribuciones normales + +- clase particular de curvas de densidad + +- simétricas y con un solo punto de elevación + +- la media se sitúa al centro, y la desviación estandar expresa su dispersión + +- la pendiente es más fuerte cerca del centro, y se suaviza hacia los extremos + +- Los puntos en los que tiene lugar este cambio de curvatura se hallan a una distancia σ, a ambos lados de la media µ. + +--- +.center[ +![:scale 45%](img/norm1.png) +] +--- +# ¿Por qué son importantes las distribuciones normales en estadística? + +- las distribuciones normales son buenas descripciones de algunas distribuciones de datos reales + +- buenas aproximaciones a los resultados de muchos tipos de fenómenos aleatorios (ej: lanzar dados) + +- permiten realizar **inferencia estadística** sobre fenómenos basados en distribuciones normales + +--- +class: inverse bottom right + +## Relación entre áreas bajo la curva normal y probabilidades + + +--- +# Regla del 68-95-99,7 + +En una distribución normal de media $\mu$ y desviación estándar $\sigma$: + +- El **68%** de todas las observaciones se encuentran dentro del +intervalo µ ± σ. + +- El **95%** de todas las observaciones se encuentran dentro del +intervalo µ ± 2σ. + +- El **99,7%** de todas las observaciones se encuentran dentro del in- +tervalo µ ± 3σ. + +--- + +![](img/norm2.png) + +--- + +**Ejemplo**: + +Estatura promedio mujeres en Chile: 160 cm +Desviación estándar: 5 cm + +¿Qué podemos decir basándonos en la distribución normal? + +-- + +- el 68% de las mujeres se encuentra entre 155 y 165cm + +- el 95% de las mujeres se encuentra entre 150 y 170cm + +- solo un 5% de las mujeres mide más de 170cm +- prácticamente todas las mujeres (99.7) se encuentran entre 145 y 175cm + + +--- +# Valores $z$ y estandarización + +- estandarización: expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal + +- para estandarizar un valor, se le resta la media y se divide por la desviación estándar + + +$$z=\frac{x-\mu}{\sigma}$$ + +- los valores estandarizados se denominan .red[valores z] + +--- +# Valores $z$ y estandarización + +- Un valor z nos dice a cuántas desviaciones típicas se encuentra la observación original de la media y en qué dirección. + +- Las observaciones mayores que la media son positivas y las menores, negativas. + +--- +Siguiendo con el ejemplo anterior de estatura de mujeres $\bar{x}=160$ y $\sigma=5$, la estatura estandarizada es: + +$$z=\frac{altura-160}{5} $$ + +Por ejemplo, una mujer que mide 165: + +$$z=\frac{165-160}{5}=\frac{5}{5}=1$$ + +Su puntaje $z$ nos dice que está una desviación estandar sobre el promedio +--- +# Puntajes $z$ y proporciones +.pull-left[ +Los valores $z$ permiten calcular la proporción de casos bajo la curva normal que están sobre y bajo el puntaje + +Por ejemplo, para el caso de 1 desviación sobre el promedio, el área bajo la curva bajo este puntaje sería: + +] + +.pull-right[ + +```{r echo=FALSE} +# import ggplot +library(ggplot2) + +# x-axis and y-axis for the pdf line +x <- seq(-4,4,0.01) +y <- dnorm(x) + +# x-axis and y-axis for shaded area +x_shaded<- seq(-4, 1, 0.01) +y_shaded <- c(dnorm(x_shaded),0) +x_shaded<-c(x_shaded,1) + +# plot it, alpha sets the level of transparency in color +ggplot() + geom_line(aes(x, y))+geom_polygon(data = data.frame(x=x_shaded, y=y_shaded), aes(x_shaded, y_shaded),fill = "red",alpha = 1/5)+ +theme(panel.background = element_rect(fill='transparent'), + axis.line.x = element_line(color="black", size = 0.5), + axis.line.y = element_line(color="black", size = 0.5)) + + scale_x_continuous(n.breaks=8) + + theme(text = element_text(size = 20)) +``` +] + + +--- +class: middle + +.pull-left-wide[ +
    +
    +![](img/norm2.png) +] + +.pull-right-narrow[ +.medium[ +
    +
    +
    +En base a la distribución normal sabemos que bajo 1 desviación estańdar está el 68% de los datos + la cola izquierda de la curva, que es (100-68/2)=16%. + +Por lo tanto 84% (68+16) de los casos tienen una estatura menor a 165 cm +]] +--- +.pull-left[ +- Ej: estatura de 152cm + +\begin{align*} +z&=\frac{x-\mu}{\sigma}\\\\ +z&=\frac{altura-160}{5}\\\\ +z&=\frac{152-160}{5}=\frac{-8}{5}=-1.6 +\end{align*} +] + +.pull-right[ + +```{r echo=FALSE} +# x-axis and y-axis for shaded area +x_shaded<- seq(-4, -1.6, 0.01) +y_shaded <- c(dnorm(x_shaded),0) +x_shaded<-c(x_shaded,-1.6) + +# plot it, alpha sets the level of transparency in color +ggplot() + geom_line(aes(x, y))+geom_polygon(data = data.frame(x=x_shaded, y=y_shaded), aes(x_shaded, y_shaded),fill = "red",alpha = 1/5)+ +theme(panel.background = element_rect(fill='transparent'), + axis.line.x = element_line(color="black", size = 0.5), + axis.line.y = element_line(color="black", size = 0.5)) + + scale_x_continuous(n.breaks=8) + + theme(text = element_text(size = 20)) + +``` + +¿Cómo calcular el área bajo la curva para un valor específico? +] + + +--- +# Tabla de Puntajes Z + +.pull-left[ +![](img/ztable-neg.jpg) +] + +.pull-right[ +![](img/ztable-pos.jpg) +] + +--- +# Tabla de Puntajes Z + +.pull-left[ +- El valor correspondiente a -1.6 en la tabla de valores Z se busca en la fila Z -1.6 y la columna 0.00 (ya que la centésima de -1.6 es 0). + +- = 0.0548, es decir, alrededor de un 5% de los casos se enceuntra bajo esa estatura (152 cm) +] + +.pull-right[ +- en R= + +```{r} +pnorm(q=-1.6) +``` + +] + +--- +class: inverse + +##Resumen + +- inferencia: ¿con qué probabilidad podemos decir que lo que calculamos en nuestra muestra existe en la población? + +- probabilidades y distribución normal + +- puntajes Z y área bajo la curva normal + + +--- +class: inverse + +## Próxima semana: Distribuciones muestrales, error estándar e intervalos de confianza + +- ¿Qué tan probable es que un resultado obtenido en una muestra se deba al azar? + +- ¿Cómo nos sirve la curva normal para contrastar hipótesis de investigación? + +- ¿Con qué nivel de confianza podemos afirmar que nuestra hipótesis es verdadera? + + +--- +# Lectura: + + +[Moore cap. 6 - Introducción a la inferencia estadística](https://correlacional.netlify.app/files/textos/Moore.pdf) + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + diff --git a/slides/05-inferencia1.html b/slides/05-inferencia1.html new file mode 100644 index 00000000..d81a107c --- /dev/null +++ b/slides/05-inferencia1.html @@ -0,0 +1,893 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/05-inferencia1_files/figure-html/unnamed-chunk-1-1.png b/slides/05-inferencia1_files/figure-html/unnamed-chunk-1-1.png new file mode 100644 index 00000000..aef6eda9 Binary files /dev/null and b/slides/05-inferencia1_files/figure-html/unnamed-chunk-1-1.png differ diff --git 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    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2024" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, echo=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(tidyverse, kableExtra) +``` + + +```{r xaringanExtra, echo=FALSE} +xaringanExtra::use_animate_css() +xaringanExtra::use_animate_all("fade") +xaringanExtra::use_scribble() +xaringanExtra::use_tile_view() +xaringanExtra::use_search(show_icon = TRUE) +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.app]](https:/correlacional.netlify.app) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .gray[Sesión 5:] +## .curso[Inferencia 4: Test de hipótesis]] +] +] + + +--- +class: inverse middle center + +# ¿Qué hemos visto hasta ahora? + + +## ... y ¿para qué? + +--- +class: middle center +![:scale 100%](img/temas-inferencias.png) +--- +### ¿Qué puedo decir de la población a partir de mi muestra? + +-- +.content-box-red[ +.center[ +.large[# PROBABILIDADES ... de un rango de valores] +]] +-- + + +.pull-left-wide[ +# ¿Cómo llego al rango de valores probables de un parámetro poblacional obtenido a partir de **una muestra**? +] + +.pull-right-narrow[ +![:scale 70%](img/inference1.png) +] + +--- +.pull-left[ +# Probabilidades + +.medium[ +- Podemos calcular probabilidades basados en una distribución teórica de ocurrencia de eventos. + +- Ej: En teoría, la probabilidad de que salga sello al tirar una moneda es 50% + +- Mientras más repetimos el evento, más se van a acercar los resultados (distribución empírica) a la probabilidad del evento (distribución teórica) +] +] +.pull-right[ + +
    +```{r echo=FALSE} +# rep1500 + +#prob teóricas +# Definimos los promedios posibles (1.5, 2, 2.5, ..., 5.5, 6) +promedios_posibles <- seq(1, 6, by = 0.5) + +# Calculamos la distribución de probabilidad teórica para cada promedio +# Las probabilidades corresponden a los valores de promedios específicos +probabilidades_teoricas <- c(1/36, 2/36, 3/36, 4/36, 5/36, 6/36, 5/36, 4/36, 3/36, 2/36, 1/36) + + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 1500, replace = TRUE) +dados2 <- sample(1:6, 1500, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (1500 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, 0.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white") + +rep1500 =recordPlot() + +rep1500 +``` + +] +--- +.pull-left[ +# Curva Normal + +.medium[ +- Hay una serie de eventos que en términos teóricos y empíricos tienen una distribución particular en torno al valor central -> **normal** + +- La .red[curva normal] es una distribución teórica que nos permite tener un estándar con el cual comparar distribuciones empíricas + + +]] + +.pull-right[ +
    +
    +
    +![](img/norm2.png) +] +--- +# Teorema del límite central y error estándar +.pull-left[ +.medium[ +- si pudiera calcular un estadístico en muchas muestras distintas (ej: promedio) este se distribuiría de manera normal + +- el **error** estándar es la formula que nos permite obtener el valor de la desviación estándar de los promedios con una sola muestra +]] + +.pull-right[ + +
    +# $$\sigma_{\bar{X}}=\frac{s}{\sqrt{N}}$$ +] + +--- +.pull-left[ +# Puntajes Z + +.medium[ +- el puntaje Z es una medida de distancias del promedio en una distribución normal, que tiene promedio 0 y desviación estándar 1 + +- Z expresa cualquier puntaje en desviaciones estándar desde el promedio (de la curva normal) + +- Z permite además obtener el valor del percentil de cada puntaje +]] + +.pull-right[ + +# $$z=\frac{x-\mu}{\sigma}$$ + +![:scale 90%](https://correlacional.netlify.app/slides/03-inferencia2_files/figure-html/unnamed-chunk-16-1.png) +] +--- +# Intervalos de confianza [para el promedio] +.medium[ +.pull-left[ + +- rango de probabilidad del valor de un parámetro en la población + +- Para construirlo, 4 pasos: + + 1- establecer **nivel de confianza** (convencionalmente 95%) + + 2- definir **puntaje Z** correspondiente a este intervalo (para 95% es 1.96) +] +] +-- + +.medium[ +.pull-right[ +3- multiplicar Z por el **error estándar** + +4 - restar al promedio (límite inferior) y sumar (límite superior) + +# $$\bar{X}\pm Z*\frac{\sigma}{\sqrt{N}}$$ +] +] + +--- +class: inverse + +![](img/herramientas.png) + + +--- +class: inverse center +
    +# ¿Qué es una hipótesis? + +-- + +# ¿Cuándo una hipótesis es .yellow[verdadera]? + +--- +class: roja middle center + + +# Una .yellow[hipótesis] es una aseveración o una predicción que se desprende de una teoría sobre una situación que ocurre en la población en estudio + +--- +class: inverse center + +#¿Cuándo se puede verificar una hipótesis? + +-- + +# -> .yellow[NUNCA] + +-- + +# ... pero, se puede **.orange[falsar]** +--- + + +.pull-left[ +# Popper y la falsabilidad +![:scale 70%](img/popper.jpg) +] + +.pull-right[ +.medium[ +_"el criterio de demarcación que hemos de adoptar no es el de la verificabilidad, sino el de la .red[falsabilidad] de +los sistemas. Dicho de otro modo: no exigiré que un sistema científico pueda +ser seleccionado, de una vez para siempre, en un sentido positivo; pero sí +que sea susceptible de selección en un sentido negativo por medio de contrastes o pruebas empíricas: ha de ser posible refutar por la experiencia un sistema científico empírico" (Popper, 1982, p. 40)_ +] +] + +--- +# Contraste de hipótesis y falsación + +.pull-left-narrow[ +![](img/hipotesis.png) +] + +.pull-right-wide[ +- El **verificar** una hipótesis no hace que una teoría sea verdadera + +- Se puede intentar refutar una teoría (**falsarla**) mediante un contraejemplo o hipótesis contraria + +- Si no es posible refutar la hipótesis contraria, entonces la teoría queda aceptada **provisionalmente** +] + +--- +# Ejemplo + +.pull-left[ +Teoría: todos los cuervos son negros + +Hipótesis de verificación: hay cuervos negros + +Hipótesis de falsación: hay cuervos blancos +] + +.pull-right-narrow[ +
    +![](img/white-crow.png) + +] +--- +class: inverse center + +### Lógica de contraste de hipótesis: + +## .yellow[Intentar falsear lo que es contrario a nuestra hipótesis original] + +-- + +## En estadística, esta "hipótesis contraria" se denomina la .yellow[HIPÓTESIS NULA] + + +--- +class: roja middle center + +# buscamos RECHAZAR LA HIPÓTESIS NULA + +si logramos rechazar la hipótesis nula (o sea, que lo contrario de nuestra teoría no es verdad), entonces encontramos evidencia a favor de nuestra teoría + +Buscamos .large[no encontrar] cuervos blancos ![:scale 10%](img/white-crow.png) + + +--- +class: center +![:scale 35%](https://jc-castillo.com/media/albums/gallery/1659416903799.jpg) + +--- +# Tipos de hipótesis + +- Según número de variables involucradas: univariadas, bivariadas, multivariadas + +- Según tipo de contraste + + - hipótesis de diferencia (distinto de) + + - hipótesis de comparación (mayor/menor qué) + + +-> más detalle de tipos de hipótesis prox. clase, ahora vamos a un **ejemplo** + +--- +class: inverse middle center + + +## ¿Existen diferencias salariales entre hombres y mujeres en Chile? + +---- + +.black[ +| Hipótesis general| Hipótesis estadística | +|---------------------------------------|--------------------------------|------------------------| +| Existen diferencias salariales entre hombres y mujeres | Hipótesis **alternativa**: Las diferencias son distintas de cero | +| No existen diferencias salariales entre hombres y mujeres | Hipótesis **nula**: Las diferencias no son distintas de cero | +] + + +--- +# Cuestionario CASEN + +.pull-left[ + +![:scale 80%](img/sueldo_casen.png) +] + +.pull-right[ +![](img/sexo_casen.png) +] + +--- +# Datos CASEN 2022 + +.pull-left-narrow[ +![](img/casen_download.png) +] + +.medium[ +.pull-right-wide[ + +Vamos a generar una submuestra de 350 casos de CASEN para ilustrar de mejor manera el sentido del test de hipótesis + +```{r} +pacman::p_load(sjmisc, haven, dplyr, stargazer, interpretCI, kableExtra) +load("casen2022_inf2.Rdata") +options(scipen=999) # para evitar notación en los ceros +set.seed(20) # para fijar el resultado aleatorio +casen_350 <- casen2022_inf %>% select(salario,sexo) %>% sample_n(350) +casen_350 <- na.omit(casen_350) +``` +]] +--- +# Datos + +```{r} +stargazer(as.data.frame(casen_350), type = "text") +``` + +--- + +```{r} +casen_350%>% # se especifica la base de datos + dplyr::group_by(sexo=sjlabelled::as_label(sexo)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla +``` + + + +Diferencia salarial = 654.585-604.420=**50.165** + +--- +class: inverse +### .yellow[Procedimiento: 5 pasos de la inferencia] (ajustados de Ritchey) + +1. Formular hipótesis ( $H_0$ y $H_A$) + +2. Obtener error estándar y estadístico de prueba empírico correspondiente (ej: Z o t) + +3. Establecer la probabilidad de error $\alpha$ (usualmente 0.05) y obtener valor crítico (teórico) de la prueba correspondiente + +4. Cálculo de intervalo de confianza / contraste valores empírico/crítico + +5. Interpretación + +--- +# 1. Formular hipótesis + +Contrastamos la *hipótesis nula* (no hay diferencias de promedios entre grupos): + +$$H_{0}: \bar{X}_{hombres} - \bar{X}_{mujeres}= 0$$ + +En referencia a la siguiente hipótesis alternativa: + +$$H_{a}: \bar{X}_{hombres} - \bar{X}_{mujeres} \neq 0$$ +--- +.content-box-green[ +# (2. Error estándar y estadístico de prueba) + +- .red[(Una nota preliminar)] En general, existen 2 formas de realizar el contraste de hipótesis:

    +.medium[ +- intervalo de confianza, asociado al error estándar +- contraste con valor crítico, asociado al estadístico de prueba + ] +- Ambos entregan información consistente y complementaria + +- En esta clase vamos a estimar solo el intervalo, la próxima veremos el contraste con valor crítico, que el caso de diferencia de medias corresponde a la prueba $t$ de student. +] +--- +# 2. Error estándar (y estadístico de prueba) + +- Cada estadístico tiene su propia fórmula de error estándar + +- En el caso de la **diferencia de medias** (en este caso, de hombres y mujeres), el error estándar es: + + +$$SE=\sqrt{\frac{\sigma_{diff}}{n_a}+\frac{\sigma_{diff}}{n_b}}$$ +Donde + +$$\sigma_{diff}=\frac{\sigma^2_{a}(n_a-1)+\sigma^2_{b}(n_b-1)}{n_a+n_b-2}$$ + +- como se puede apreciar, es una extensión del error estandar del promedio pero para dos grupos distintos + +--- + +Cálculo de la desviación estándar de las diferencias de promedios: + +\begin{align*} +\sigma_{diff}&=\frac{468692^2(205-1)+444666^2(138-1)}{205+138-2} \\ \\ +&=\frac{44813126936256+27088715663172}{341}\\ \\ +&=210855843400 +\end{align*} + +--- + +Y enfonces el error estándar de la diferencia de medias: +\begin{align*} +SE&=\sqrt{\frac{\sigma_{diff}}{n_a}+\frac{\sigma_{diff}}{n_b}} \\ \\ +&=\sqrt{\frac{210855843400}{205}+\frac{210855843400}{138}}\\ \\ +&=50561 +\end{align*} + + +--- +# 3. Establecer probabilidad de error + +- asumimos que existe una probabilidad de error al rechazar $H_0$, para lo cual fijamos un límite convencional -> usualmente un 5% + +- ¿error **de qué**? -> de rechazar $H_0$ cuando esta existe en la población. +- Esto se conoce como la **probabilidad de error Tipo I o $\alpha$ (alfa)** + +--- +## Hipotesis nula ( $H_0$) y tipos de error +.center[ +![:scale 100%](img/errortypes.png) +] + +--- +# En nuestro ejemplo: + +$$H_{0}: \bar{X}_{sueldo\ mujeres} - \bar{X}_{sueldo\ hombres}= 0$$ +- Si **hay** diferencias de sueldo en la población y rechazamos $H_0$: decisión correcta + +- Si **no hay** diferencias de sueldo en la población y rechazamos $H_0$: Error tipo I + +.content-box-red[ +.center[ +##El Error Tipo I equivale a encontrar cosas en nuestra muestra que no existen en la población +]] + +--- +## Hipotesis nula y tipos de error + +![](img/errors.jpg) + +--- +# Hipótesis nula y $\alpha$ + +- Entonces, el $\alpha$ es la probabilidad de error que fijamos para rechazar la hipótesis nula + +- en lenguaje de prueba de hipótesis, es la probabilidad de rechazar la hipótesis nula cuando esta es verdadera + +- o la probabilidad de encontrar diferencias entre grupos de la población cuando estas no existen + +- o en simple, la probabilidad de que nos estemos equivocando + +--- +# Nivel de confianza y probabilidad de error $\alpha$ + +- el nivel de confianza de una estimación se determina de manera **convencional**, usualmente se acepta 95% o 99% de confianza + +- un nivel de confianza se expresa en una probabilidad de error $\alpha$ (.red[alfa]), que es 1- nivel de confianza + + - para un nivel de confianza de 95%, $\alpha=1-0.95=0.05$ + + - para un nivel de confianza de 99%, $\alpha=1-0.99=0.01$ + +--- +class: middle center + +![](img/normal&alfa2.png) + +--- +class: middle center + +![](img/normal&alfa.png) + +--- +.content-box-green[ + +## 4. Intervalo de confianza [y contraste con valor crítico] + +- de la clase anterior con prueba Z sabemos que el valor crítico para un 95% de confianza es 1.96 + +- para diferencia de medias se utiliza prueba $t$, donde el valor crítico es variable según en tamaño muestral + +- sin embargo, para muestras grandes, t=Z, y por lo tanto por ahora mantendremos los valores referenciales Z (de 1.96) hasta que profundicemos en t la próxima clase + +] + +--- +# 4. Intervalo de confianza + + +\begin{align*} +\bar{x}_1-\bar{x}_2 &\pm t_{\alpha/2}*SE_{\bar{x_1}-\bar{x_2}} \\\\ +50165 &\pm 1.96*50561 \\\\ +50165 &\pm 99099.56 \\\\ +CI[-49287.48&;149617.63] +\end{align*} + +--- +# Test de hipótesis de diferencias en R + +```{r} +t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +``` + +--- +# tabla t test con `rempsyc` + +```{r} +pacman::p_load(rempsyc,broom) +model <- t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +stats.table <- tidy(model, conf.int = TRUE) +nice_table(stats.table, broom = "t.test") + +``` +??? +https://rempsyc.remi-theriault.com/articles/t-test + + +--- +# 5. Interpretación + +Nuestro intervalo de confianza **contiene el cero**, por lo que no se rechaza la hipótesis nula +---- +.content-box-red[ + +Con un 95% de confianza (5% de probabilidad de error) no se encuentra evidencia de diferencias salariales entre hombres y mujeres. + +Alternativamente: +No existe evidencia que las diferencias salariales entre hombres y mujeres son distintas de cero, con un 5% de probabilidad de error +] + +--- +class: inverse + +## Resumen + +- hipótesis: aseveraciones sobre algo que ocurre en la población, usualmente asociaciones entre conceptos / variables + +- las hipótesis se contrastan con un criterio de falsabilidad + +- el contraste de hipótesis en estadística opera mediante el rechazo de la hipótesis nula (o de no diferencias), con una probabilidad de error $\alpha$ + +- 5 pasos para contraste de hipótesis + + + +--- +# Próxima clase + +- Prueba $t$ + +- hipótesis direccionales (mayor o menor qué) o de una cola (one tail) + +- inferencia para proporciones + +--- +# Recomendaciones + + +[![:scale 30%](img/logicaccss.png)](https://cienciassocialesfcpys.wordpress.com/wp-content/uploads/2016/03/5la-logica-de-las-ciencias-sociales-popper-adorno-dahrendorf-habermas.pdf) + +--- +class: front + + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.app]](https:/correlacional.netlify.app) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ + +]] +] + diff --git a/slides/05-inferencia4.html b/slides/05-inferencia4.html new file mode 100644 index 00000000..c42abe70 --- /dev/null +++ b/slides/05-inferencia4.html @@ -0,0 +1,823 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/05-inferencia4_files/figure-html/unnamed-chunk-1-1.png b/slides/05-inferencia4_files/figure-html/unnamed-chunk-1-1.png new file mode 100644 index 00000000..6d20a347 Binary files /dev/null and b/slides/05-inferencia4_files/figure-html/unnamed-chunk-1-1.png differ diff --git a/slides/05-slides.Rmd b/slides/05-slides.Rmd deleted file mode 100644 index 85c285e3..00000000 --- a/slides/05-slides.Rmd +++ /dev/null @@ -1,1159 +0,0 @@ ---- -title: "DAGs and potential outcomes" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(broom) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# DAGs and
    potential outcomes - -.class-info[ - -**Session 5** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[*do*()ing observational
    causal inference] - --- - -.box-7.medium[Potential outcomes] - ---- - -name: dag-adjustment -class: center middle section-title section-title-5 animated fadeIn - -# *do*()ing observational
    causal inference - ---- - -layout: true -class: title title-5 - ---- - -# Structural models - -.box-inv-5.small[The relationship between nodes can be described with equations] - -.pull-left[ - -$$ -\begin{aligned} -\text{Loc} &= f_\text{Loc}(\text{U1}) \\ -\text{Bkgd} &= f_\text{Bkgd}(\text{U1}) \\ -\text{JobCx} &= f_\text{JobCx}(\text{Edu}) \\ -\text{Edu} &= f_\text{Edu}(\text{Req}, \text{Loc}, \text{Year}) \\ -\text{Earn} &= f_\text{Earn}(\text{Edu}, \text{Year}, \text{Bkgd}, \\ -& \quad\quad\quad\quad \text{Loc}, \text{JobCx}) \\ -\end{aligned} -$$ -] - -.pull-right[ -```{r structural-dag, echo=FALSE, fig.width=6, fig.height=4.5, out.width="90%"} -edu_earn_coords <- list(x = c(Edu = 2, Earn = 4, Year = 2, Bkgd = 4, - Loc = 3, JobCx = 3, Req = 1, U1 = 3), - y = c(Edu = 2, Earn = 2, Year = 3, Bkgd = 3, - Loc = 3, JobCx = 1, Req = 2, U1 = 4)) - -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` -] ---- - -# Structural models - -.box-inv-5[`dagify()` in **ggdag** forces you to think this way] - -.pull-left.small[ -$$ -\begin{aligned} -\text{Earn} &= f_\text{Earn}(\text{Edu}, \text{Year}, \text{Bkgd}, \\ -& \quad\quad\quad\quad \text{Loc}, \text{JobCx}) \\ -\text{Edu} &= f_\text{Edu}(\text{Req}, \text{Loc}, \text{Year}) \\ -\text{JobCx} &= f_\text{JobCx}(\text{Edu}) \\ -\text{Bkgd} &= f_\text{Bkgd}(\text{U1}) \\ -\text{Loc} &= f_\text{Loc}(\text{U1}) -\end{aligned} -$$ -] - -.pull-right.small-code[ -```{r example-structural-model, eval=FALSE} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1 -) -``` - -] - ---- - -# Causal identification - -.pull-left-narrow[ - -.box-inv-5[All these nodes are related; there's correlation between them all] - -.box-inv-5[We care about
    **Edu → Earn**, but what do we do about all the other nodes?] - -] - -.pull-right-wide[ - -```{r edu-earn-full, echo=FALSE, fig.width=4.5, fig.height=3, out.width="100%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - ---- - -# Causal identification - -.box-inv-5.medium[A causal effect is *identified* if the association between treatment and outcome is propertly stripped and isolated] - ---- - -# Paths and associations - -.box-inv-5.medium[Arrows in a DAG transmit associations] - -.box-inv-5.medium[You can redirect and control those paths by "adjusting" or "conditioning"] - ---- - -# Three types of associations - -.pull-left-3[ -.box-5.medium[Confounding] - -```{r confounding-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 17) + - geom_dag_text(color = "white", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Common cause] -] - -.pull-middle-3.center[ -.box-5.medium[Causation] - -```{r mediation-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X + Z, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 17) + - geom_dag_text(color = "white", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Mediation] -] - -.pull-right-3[ -.box-5.medium[Collision] - -```{r collision-dag, echo=FALSE, fig.width=4.5, fig.height=3.35, out.width="100%"} -dagify( - Y ~ X, - Z ~ Y, - Z ~ X, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 17) + - geom_dag_text(color = "white", size = 5) + - theme_dag() -``` - -.box-inv-5.small[Selection /
    endogeneity] -] - ---- - -# Interventions - -.box-inv-5.medium[*do*-operator] - -.box-5[Making an intervention in a DAG] - -$$ -P[Y\ |\ do(X = x)] \quad \text{or} \quad E[Y\ |\ do(X = x)] -$$ - --- - -.box-5[P = probability distribution, or E = expectation/expected value] - --- - -.box-5[Y = outcome, X = treatment;
    x = specific value of treatment] - ---- - -# Interventions - -$$ -E[Y\ |\ do(X = x)] -$$ - -.box-5[E\[ Earnings | *do*(One year of college)\] ] - --- - -.box-5[E\[ Firm growth | *do*(Government R&D funding)\] ] - --- - -.box-5[E\[ Air quality | *do*(Carbon tax)\] ] - --- - -.box-5[E\[ Juvenile delinquency | *do*(Truancy program)\] ] - --- - -.box-5[E\[ Malaria infection rate | *do*(Mosquito net)\] ] - ---- - -# Interventions - -.box-inv-5[When you *do*() X, delete all arrows into it] - --- - -.pull-left[ -.box-5.small[Observational DAG] -```{r observational-dag, echo=FALSE, fig.width=4, fig.height=3, out.width="90%"} -dagify( - Y ~ X + A, - X ~ A, - coords = list(x = c(X = 1, Y = 2, A = 1.5), - y = c(X = 1, Y = 1, A = 2)) -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 11) + - geom_dag_text() + - theme_dag() -``` -] - --- - -.pull-right[ -.box-5.small[Experimental DAG] -```{r experimental-dag, echo=FALSE, fig.width=4, fig.height=3, out.width="90%"} -dagify( - Y ~ X + A, - coords = list(x = c(X = 1, Y = 2, A = 1.5), - y = c(X = 1, Y = 1, A = 2)), - labels = c(X = "X = x") -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 11) + - geom_dag_text() + - geom_dag_text_repel(aes(label = label), - nudge_x = 0, nudge_y = 0.25, - color = "black", - fontface = "bold", lineheight = 0.95, seed = 1234) + - theme_dag() -``` -] - ---- - -# Interventions - -$$ -E[\text{Earnings}\ |\ do(\text{College education})] -$$ - --- - -.pull-left[ -.box-5.small[Observational DAG] - -```{r edu-earn-obs, echo=FALSE, fig.width=6, fig.height=4.5, out.width="90%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - Edu ~ Req + Loc + Bkgd + Year, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` - -] - --- - -.pull-right[ -.box-5.small[Experimental DAG] - -```{r edu-earn-experiment, warning=FALSE, echo=FALSE, fig.width=6, fig.height=4.5, out.width="90%"} -dagify( - Earn ~ Edu + Year + Bkgd + Loc + JobCx, - NULL ~ Req, - JobCx ~ Edu, - Bkgd ~ U1, - Loc ~ U1, - exposure = "Edu", - outcome = "Earn", - latent = "U1", - labels = c("Earn" = "Earnings", "Edu" = "Education", - "Year" = "Year", "Bkgd" = "Background", - "Loc" = "Location", "JobCx" = "Job connections", - "U1" = "Unobserved stuff"), - coords = edu_earn_coords) %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status), size = 14) + - geom_dag_text(color = "black", size = 5) + - scale_color_manual(values = c("#FF4136", "grey60", "#0074D9"), - na.value = "#7FDBFF") + - guides(color = FALSE) + - theme_dag() -``` -] - ---- - -# Un*do*()ing things - -.box-inv-5.medium[We want to know **P[Y | *do*(X)]**
    but all we have is
    observational data X, Y, and Z] - --- - -$$ -P[Y\ |\ do(X)] \neq P(Y\ |\ X) -$$ - --- - -.box-5[Correlation isn't causation!] - ---- - -# Un*do*()ing things - -.box-inv-5.medium[Our goal with observational data:
    Rewrite **P[Y | *do*(X)]** so that it doesn't have a *do*() anymore (is "*do*-free")] - ---- - -# *do*-calculus - -.box-inv-5[A set of three rules that let you manipulate a DAG
    in special ways to remove *do*() expressions] - -.center[ -
    - do-calculus rules -
    -] - -.box-5.smaller[WAAAAAY beyond the score of this class!
    Just know it exists and computer algorithms can do it for you!] - -??? - -https://arxiv.org/abs/1906.07125 - ---- - -# Special cases of *do*-calculus - -.box-inv-5.medium.sp-after[Backdoor adjustment] - -.box-inv-5.medium[Frontdoor adjustment] - ---- - -# Backdoor adjustment - -$$ -P[Y\ |\ do(X)] = \sum_Z P(Y\ |\ X, Z) \times P(Z) -$$ - -.pull-left[ -```{r backdoor-dag, echo=FALSE, fig.width=5, fig.height=3.4, out.width="90%"} -dagify(Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 3, Z = 2), - y = c(X = 1, Y = 1, Z = 2))) %>% - tidy_dagitty() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point() + - geom_dag_text() + - theme_dag() -``` -] - -.pull-right[ -.box-inv-5.small[↑ That's complicated!] - -.box-inv-5[The right-hand side of the equation means "the effect of X on Y after adjusting for Z"] - -.box-5[There's no *do*() on that side!] -] - ---- - -# Frontdoor adjustment - -```{r frontdoor, echo=FALSE, fig.width=5, fig.height=3.4, out.width="50%"} -dagify(C ~ T + G, - T ~ S, - S ~ G, - coords = list( - x = c(S = 1, T = 2, C = 3, G = 2), - y = c(S = 1, T = 1, C = 1, G = 2) - ), - labels = c(S = "Smoking", - T = "Tar", - C = "Cancer", - G = "Genetics"), - exposure = "S", - outcome = "C") %>% - tidy_dagitty() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point() + - geom_dag_text() + - geom_dag_label_repel(aes(label = label), nudge_y = 0.1, seed = 1234) + - theme_dag() -``` - - -.box-5.small[**S → T** is *d*-separated; **T → C** is *d*-separated
    combine the effects to find **S → C**] - ---- - -# Moral of the story - -.box-inv-5.medium[If you can transform *do*() expressions to
    *do*-free versions, you can legally make causal inferences from observational data] - --- - -.box-5[Backdoor adjustment is easiest to see +
    dagitty and **ggdag** do this for you!] - --- - -.box-5.small[Fancy algorithms (found in the **causaleffect** package)
    can do the official *do*-calculus for you too] - ---- - -layout: false -name: potential-outcomes -class: center middle section-title section-title-7 animated fadeIn - -# Potential outcomes - ---- - -layout: true -class: title title-7 - ---- - -# Program effect - -
    - Outcomes and program effect -
    - ---- - -# Some equation translations - -.box-inv-7.medium[Causal effect = δ (delta)] - -$$ -\delta = P[Y\ |\ do(X)] -$$ - --- - -$$ -\delta = E[Y\ |\ do(X)] - E[Y\ |\ \hat{do}(X)] -$$ - --- - -$$ -\delta = (Y\ |\ X = 1) - (Y\ |\ X = 0) -$$ - --- - -$$ -\delta = Y_1 - Y_0 -$$ - ---- - -layout: false -class: bg-full -background-image: url("img/05/TAL.png") - -??? - -https://www.thisamericanlife.org/691/gardens-of-branching-paths - ---- - -layout: true -class: title title-7 - ---- - -layout: false - -.box-7.large[Fundamental problem
    of causal inference] - -$$ -\delta_i = Y_i^1 - Y_i^0 \quad \text{in real life is} \quad \delta_i = Y_i^1 - ??? -$$ - -.box-inv-7[Individual-level effects are impossible to observe!] - -.box-inv-7[There are no individual counterfactuals!] - ---- - -layout: true -class: title title-7 - ---- - -# Average treatment effect (ATE) - -.box-inv-7.medium[Solution: Use averages instead] - -$$ -\text{ATE} = E(Y_1 - Y_0) = E(Y_1) - E(Y_0) -$$ - --- - -.box-7[Difference between average/expected value when
    program is on vs. expected value when program is off] - -$$ -\delta = (\bar{Y}\ |\ P = 1) - (\bar{Y}\ |\ P = 0) -$$ - ---- - -layout: false - -```{r po-table, echo=FALSE} -po <- tibble( - Person = 1:8, - Age = c("Old", "Old", "Old", "Old", "Young", "Young", "Young", "Young"), - Treated = c(TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE), - Y1 = c(80, 75, 85, 70, 75, 80, 90, 85), - Y0 = c(60, 70, 80, 60, 70, 80, 100, 80) -) %>% - mutate(delta = Y1 - Y0) %>% - mutate(actual = ifelse(Treated, Y1, Y0)) %>% - mutate(`Outcome
    with program` = ifelse(Treated, paste0("**", Y1, "**"), Y1), - `Outcome
    without program` = ifelse(!Treated, paste0("**", Y0, "**"), Y0), - Effect = paste0("**", delta, "**")) -``` - -.small[ -```{r basic-po, echo=FALSE} -po %>% - select(Person, Age, Treated, starts_with("Outcome"), Effect) %>% - knitr::kable(align = "cccccc") -``` -] - ---- - -.smaller.sp-after[ -```{r basic-po1, echo=FALSE} -po %>% - select(Person, Age, Treated, starts_with("Outcome"), Effect) %>% - knitr::kable(align = "cccccc") -``` -] - -.pull-left.small[ -$\delta = (\bar{Y}\ |\ P = 1) - (\bar{Y}\ |\ P = 0)$ -] - -.pull-right.small[ -$\text{ATE} = \frac{20 + 5 + 5 + 5 + 10 + 0 + -10 + 5}{8} = 5$ -] - ---- - -class: title title-7 - -# CATE - -.box-inv-7.sp-after[ATE in subgroups] - --- - -.box-7.medium[Is the program more
    effective for specific age groups?] - ---- - -.smaller.sp-after[ -```{r basic-po-cate, echo=FALSE} -po %>% - select(Person, Age, Treated, starts_with("Outcome"), Effect) %>% - knitr::kable(align = "cccccc") -``` -] - -.pull-left.small[ -$\delta = (\bar{Y}_\text{O}\ |\ P = 1) - (\bar{Y}_\text{O}\ |\ P = 0)$ - -$\delta = (\bar{Y}_\text{Y}\ |\ P = 1) - (\bar{Y}_\text{Y}\ |\ P = 0)$ -] - -.pull-right.small[ -$\text{CATE}_\text{Old} = \frac{20 + 5 + 5 + 10}{4} = 10$ - -$\text{CATE}_\text{Young} = \frac{5 + 0 - 10 + 5}{4} = 0$ -] - ---- - -class: title title-7 - -# ATT and ATU - -.box-inv-7.medium[Average treatment on the treated] - -.box-7[ATT / TOT] - -.box-7[Effect for those with treatment] - --- - -.box-inv-7.medium[Average treatment on the untreated] - -.box-7[ATU / TUT] - -.box-7[Effect for those without treatment] - ---- - -.smaller.sp-after[ -```{r basic-po-att, echo=FALSE} -po %>% - select(Person, Age, Treated, starts_with("Outcome"), Effect) %>% - knitr::kable(align = "cccccc") -``` -] - -.pull-left.small[ -$\delta = (\bar{Y}_\text{T}\ |\ P = 1) - (\bar{Y}_\text{T}\ |\ P = 0)$ - -$\delta = (\bar{Y}_\text{U}\ |\ P = 1) - (\bar{Y}_\text{U}\ |\ P = 0)$ -] - -.pull-right.small[ -$\text{CATE}_\text{Treated} = \frac{20 + 5 + 5 + 5}{4} = 8.75$ - -$\text{CATE}_\text{Untreated} = \frac{10 + 0 - 10 + 5}{4} = 1.25$ -] - ---- - -layout: true -class: title title-7 - ---- - -# ATE, ATT, and ATU - -.box-inv-7.medium.sp-after[The ATE is the weighted average
    of the ATT and ATU] - --- - -.center[ -$\text{ATE} = (\pi_\text{Treated} \times \text{ATT}) + (\pi_\text{Untreated} \times \text{ATU})$ - -$(\frac{4}{8} \times 8.75) + (\frac{4}{8} \times 1.25)$ - -$4.375 + 0.625 = 5$ -] - -.box-7.smaller[**π** here means "proportion," not 3.1415] - ---- - -# Selection bias - -.box-inv-7.medium[ATE and ATT aren't always the same] - -.box-inv-7.medium[ATE = ATT + Selection bias] - -$$ -\begin{aligned} -5 &= 8.75 + x \\ -x &= -3.75 -\end{aligned} -$$ - -.box-7[Randomization fixes this, makes x = 0] - ---- - -# Actual data - -.pull-left.smaller[ -```{r po-actual, echo=FALSE} -po %>% - select(Person, Age, Treated, `Actual outcome` = actual) %>% - knitr::kable(align = "cccc") -``` -] - -.pull-right[ -.box-inv-7[Treatment not
    randomly assigned] - -.box-inv-7[We can't see
    unit-level causal effects] - -.box-7[What do we do?!] -] - ---- - -# Actual data - -.pull-left.smaller[ -```{r po-actual1, echo=FALSE} -po %>% - select(Person, Age, Treated, `Actual outcome` = actual) %>% - knitr::kable(align = "cccc") -``` -] - -.pull-right[ -.box-inv-7[Treatment seems to be correlated with age] - -```{r po-dag, echo=FALSE, fig.width=5, fig.height=3.2, out.width="100%"} -dagify(outcome ~ treatment + age, - treatment ~ age, - coords = list( - x = c(outcome = 3, treatment = 1, age = 2), - y = c(outcome = 1, treatment = 1, age = 2) - ), - labels = c(treatment = "Treatment", - outcome = "Outcome", - age = "Age"), - exposure = "treatment", - outcome = "outcome") %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status)) + - geom_dag_label_repel(aes(label = label), nudge_y = 0.1, seed = 1234) + - scale_color_manual(values = c("#F012BE", "#3D9970"), na.value = "grey80") + - guides(color = FALSE) + - theme_dag() -``` -] - ---- - -# Actual data - -.pull-left.tiny[ -```{r po-actual2, echo=FALSE} -po %>% - select(Person, Age, Treated, `Actual outcome` = actual) %>% - knitr::kable(align = "cccc") -``` -] - -.pull-right[ -.box-inv-7[We can estimate the ATE by finding the weighted average of age-based CATEs] - -.box-inv-7.tiny[As long as we assume/pretend treatment was randomly assigned within each age = unconfoundedness] - -] - -  - -.center[ -$\widehat{\text{ATE}} = \pi_\text{Old} \widehat{\text{CATE}_\text{Old}} + \pi_\text{Young} \widehat{\text{CATE}_\text{Young}}$ -] - ---- - -# Actual data - -.center.sp-after[ -$\color{#FF851B}{\widehat{\text{ATE}}} = \pi_\text{Old} \color{#2ECC40}{\widehat{\text{CATE}_\text{Old}}} + \pi_\text{Young} \color{#0074D9}{\widehat{\text{CATE}_\text{Young}}}$ -] - -.pull-left-narrow.tiny[ -```{r po-actual3, echo=FALSE} -po %>% - select(Person, Age, Treated, `Actual outcome` = actual) %>% - knitr::kable(align = "cccc") -``` -] - -.pull-right-wide.small[ -  - -$\color{#2ECC40}{\widehat{\text{CATE}_\text{Old}}} = \frac{80 + 75 + 85}{3} - \frac{60}{1} = \color{#2ECC40}{20}$ - -$\color{#0074D9}{\widehat{\text{CATE}_\text{Young}}} = \frac{75}{1} - \frac{80 + 100 + 80}{3} = \color{#0074D9}{-11.667}$ - -$\color{#FF851B}{\widehat{\text{ATE}}} = (\frac{4}{8} \times \color{#2ECC40}{20}) + (\frac{4}{8} \times \color{#0074D9}{-11.667}) = \color{#FF851B}{4.1667}$ -] - ---- - -# ¡¡¡DON'T DO THIS!!! - -.center.sp-after[ -$\color{#FF851B}{\widehat{\text{ATE}}} = \color{#F012BE}{\widehat{\text{CATE}_\text{Treated}}} - \color{#AAAAAA}{\widehat{\text{CATE}_\text{Untreated}}}$ -] - -.pull-left-narrow.tiny[ -```{r po-actual4, echo=FALSE} -po %>% - select(Person, Age, Treated, `Actual outcome` = actual) %>% - knitr::kable(align = "cccc") -``` -] - -.pull-right-wide.small.center[ -$\color{#F012BE}{\widehat{\text{CATE}_\text{Treated}}} = \frac{80 + 75 + 85 + 75}{4} = \color{#F012BE}{78.75}$ - -$\color{#AAAAAA}{\widehat{\text{CATE}_\text{Untreated}}} = \frac{60 + 80 + 100 + 80}{4} = \color{#AAAAAA}{80}$ - -$\color{#FF851B}{\widehat{\text{ATE}}} = \color{#F012BE}{78.75} - \color{#AAAAAA}{80} = \color{#FF851B}{-1.25}$ - -  - -.box-7[You can only do this if treatment is random!] -] - - ---- - -# Matching and ATEs - -.center[ -$\widehat{\text{ATE}} = \pi_\text{Old} \widehat{\text{CATE}_\text{Old}} + \pi_\text{Young} \widehat{\text{CATE}_\text{Young}}$ -] - -.pull-left-wide[ -.box-inv-7[We used age here because it correlates with (and confounds) the outcome] - -.box-7.small[And we assumed unconfoundedness;
    that treatment is
    randomly assigned within the groups] -] - -.pull-right-narrow[ -![](`r knitr::fig_chunk("po-dag", "png")`) -] - ---- - -layout: false - -.pull-left-narrow[ -  - -  - -.box-7[Does attending a private university cause an increase in earnings?] -] - -.pull-right-wide[ -
    - Matching table from Mastering 'Metrics -
    -] - ---- - -.pull-left-wide[ -
    - Matching table from Mastering 'Metrics -
    -] - -.pull-right-narrow[ -.box-7[This is tempting!] - -.box-inv-7[Average private − Average public] - -.tiny[ -$$ -\begin{aligned} -\frac{110 + 100 + 60 + 115 + 75}{5} &= \color{#0074D9}{92} \\ -\frac{110 + 30 + 90 + 60}{4} &= \color{#2ECC40}{72.5} \\ -(\color{#0074D9}{92} \times \color{#7FDBFF}{\frac{5}{9}}) - (\color{#2ECC40}{72.5} \times \color{#01FF70}{\frac{4}{9}}) &= \color{#FF851B}{18,888} -\end{aligned} -$$ -] - -.box-7[**This is wrong!**] -] - -.center[ -$\color{#FF851B}{\widehat{\text{ATE}}} = \color{#7FDBFF}{\pi_\text{Private}} \color{#0074D9}{\widehat{\text{CATE}_\text{Private}}} + \color{#01FF70}{\pi_\text{Public}} \color{#2ECC40}{\widehat{\text{CATE}_\text{Public}}}$ -] - ---- - -class: title title-7 - -# Grouping and matching - -.pull-left[ -
    - Matching table from Mastering 'Metrics -
    -] - -.pull-right[ -.box-inv-7[These groups look like they have similar characteristics] - -.box-inv-7.tiny[Unconfoundedness?] - -```{r match-dag, echo=FALSE, fig.width=5, fig.height=3.2, out.width="80%"} -dagify(outcome ~ treatment + characteristics, - treatment ~ characteristics, - coords = list( - x = c(outcome = 3, treatment = 1, characteristics = 2), - y = c(outcome = 1, treatment = 1, characteristics = 2) - ), - labels = c(treatment = "Private university", - outcome = "Income", - characteristics = "Student characteristics (group)"), - exposure = "treatment", - outcome = "outcome") %>% - tidy_dagitty() %>% - node_status() %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(aes(color = status)) + - geom_dag_label_repel(aes(label = label), nudge_y = 0.1, seed = 1234) + - scale_color_manual(values = c("#F012BE", "#3D9970"), na.value = "grey80") + - guides(color = FALSE) + - theme_dag() -``` -] - ---- - -.pull-left-wide[ -
    - Matching table from Mastering 'Metrics -
    -] - -.pull-right-narrow[ -.box-inv-7[CATE Group A + CATE Group B] - -.tiny[ -$$ -\begin{aligned} -\frac{110 + 100}{2} - 110 &= \color{#0074D9}{-5,000} \\ -60 - 30 &= \color{#2ECC40}{30,000} \\ -(\color{#0074D9}{-5} \times \color{#7FDBFF}{\frac{3}{5}}) + (\color{#2ECC40}{30} \times \color{#01FF70}{\frac{2}{5}}) &= \color{#FF851B}{9,000} -\end{aligned} -$$ -] - -.box-7[**This is less wrong!**] -] - -.center[ -$\color{#FF851B}{\widehat{\text{ATE}}} = \color{#7FDBFF}{\pi_\text{Group A}} \color{#0074D9}{\widehat{\text{CATE}_\text{Group A}}} + \color{#01FF70}{\pi_\text{Group B}} \color{#2ECC40}{\widehat{\text{CATE}_\text{Group B}}}$ -] - ---- - -class: title title-7 - -# Matching with regression - -```{r schools-earnings, echo=FALSE, warning=FALSE, message=FALSE} -schools <- read_csv("data/public_private_earnings.csv") %>% - mutate(private = ifelse(str_detect(enrolled, "ivy"), TRUE, FALSE)) %>% - mutate(group_A = ifelse(group == "A", TRUE, FALSE)) - -# Only look at groups A and B, since C and D don't have people in both public -# and private schools. | means "or" -schools_small <- schools %>% - filter(group == "A" | group == "B") -``` - - -$$ -\text{Earnings} = \alpha + \beta_1 \text{Private} + \beta_2 \text{Group} + \epsilon -$$ - --- - -.small-code.center[ -```{r model-earnings-fake, eval=FALSE} -model_earnings <- lm(earnings ~ private + group_A, data = schools_small) -``` -] - --- - -.small[ -```{r model-earnings-results, echo=FALSE} -lm(earnings ~ private + group_A, data = schools_small) %>% - tidy() %>% - mutate(across(where(is.numeric), ~round(., 2))) %>% - knitr::kable() -``` -] - --- - -.center.float-left[ -.box-7[β1 = $10,000] .box-7[This is less wrong!] .box-7[Significance details!] -] diff --git a/slides/06-class.Rmd b/slides/06-class.Rmd deleted file mode 100644 index e2cd8608..00000000 --- a/slides/06-class.Rmd +++ /dev/null @@ -1,719 +0,0 @@ ---- -title: "Class 6: Validity + confidence intervals" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 6 - -.class-info[ - -**February 16, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-1.medium.sp-after-half[Exam 1] - --- - -.box-3.medium.sp-after-half[FAQs] - --- - -.box-5.medium.sp-after-half[Confidence intervals, credible intervals,
    and a crash course on Bayesian statistics] - ---- - -layout: false -name: exam-1 -class: center middle section-title section-title-1 animated fadeIn - -# Exam 1 - ---- - -layout: true -class: middle - ---- - -.box-1.large[Tell us about Exam 1!] - ---- - -layout: false -name: faqs -class: center middle section-title section-title-3 animated fadeIn - -# FAQs - ---- - -layout: true -class: middle - ---- - -.box-3.large[What's the difference
    between `+` and `%>%`?] - -??? - -- - ---- - -.box-3.large[Are *p*-values really misinterpreted
    in published research?] - ---- - -.box-3.large[Power calculations and sample size] - -.box-3.medium[Won't we always be able to find
    a significant effect if the
    sample size is big enough?] - -.box-inv-3.small[Yes!] - ---- - -.box-3.huge[Math with computers] - -.box-inv-3[andhs.co/live] - ---- - -.box-3.large[Are the results from
    p-hacking actually a
    threat to validity?] - -??? - - - ---- - -.box-3.large[Do people actually post
    their preregistrations?] - ---- - -.box-3.large.sp-after[Yes!] - -.box-3.medium[[OSF](https://osf.io/prereg/)] - -.box-inv-3.sp-after[See [this](https://stats.andrewheiss.com/ngo-crackdowns-philanthropy/preregistration.html) and [this](https://stats.andrewheiss.com/why-donors-donate/preregistration.html) for examples] - -.box-3.medium[[As Predicted](https://aspredicted.org/)] - -.box-inv-3[See [this](https://aspredicted.org/blind.php?x=jr2hr3)] - ---- - -.box-3.medium[Do you have any tips for identifying the
    threats to validity in articles since
    they're often not super clear?] - -.box-3[Especially things like spillovers,
    Hawthorne effects, and John Henry effects?] - ---- - -.box-3.medium[Using a control group of some kind
    seems to be the common fix
    for all of these issues.] - -.box-3.medium[What happens if you can't do that?
    Is the study just a lost cause?] - -??? - -That's the point of DAGs and quasi experiments; simulate having treatment and control groups - ---- - -layout: false -name: bayes -class: center middle section-title section-title-5 animated fadeIn - -# Confidence intervals,
    credible intervals,
    and a crash course on Bayesian statistics - ---- - -class: middle - -.box-5.large[In the absence of p-values,
    I'm confused about how
    we report… significance?] - ---- - -class: middle - -.box-5.huge[Math with computers] - -.box-inv-5[andhs.co/live] - ---- - -layout: true -class: title title-5 - ---- - -# Imbens and p-values - -.box-inv-5[Nobody really cares about p-values] - --- - -.box-inv-5[Decision makers want to know
    a number or a range of numbers—
    some sort of effect and uncertainty] - --- - -.box-inv-5[Nobody cares how likely a number would be
    in an imaginary null world!] - ---- - -# Imbens's solution - -.box-inv-5[Report point estimates and some sort of range] - -> "It would be preferable if reporting standards emphasized confidence intervals or standard errors, and, even better, Bayesian posterior intervals." - --- - -.pull-left[ -.box-inv-5[Point estimate] - -.box-5.small[The single number you calculate
    (mean, coefficient, etc.)] -] - -.pull-right[ -.box-inv-5[Uncertainty] - -.box-5.small[A range of possible values] -] - ---- - -# Greek, Latin, and extra markings - -.box-inv-5[Statistics: use a sample to make inferences about a population] - --- - -.pull-left[ -.box-5[Greek] - -Letters like $\beta_1$ are the ***truth*** - -Letters with extra markings like $\hat{\beta_1}$ are our ***estimate*** of the truth based on our sample -] - --- - -.pull-right[ -.box-5[Latin] - -Letters like $X$ are ***actual data*** from our sample - -Letters with extra markings like $\bar{X}$ are ***calculations*** from our sample -] - ---- - -# Estimating truth - -.box-inv-5.sp-after[Data → Calculation → Estimate → Truth] - --- - -.pull-left[ - - - - - - - - - - - - - - - - - -
    Data\(X\)
    Calculation \(\bar{X} = \frac{\sum{X}}{N}\)
    Estimate\(\hat{\mu}\)
    Truth\(\mu\)
    -] - --- - -.pull-right[ -$$ -\bar{X} = \hat{\mu} -$$ - -$$ -X \rightarrow \bar{X} \rightarrow \hat{\mu} \xrightarrow{\text{🤞 hopefully 🤞}} \mu -$$ -] - ---- - -# Population parameter - -.box-inv-5.large[Truth = Greek letter] - -.box-5[An single unknown number that is true for the entire population] - --- - -.box-inv-5.small[Proportion of left-handed students at GSU] - -.box-inv-5.small[Median rent of apartments in NYC] - -.box-inv-5.small[Proportion of red M&Ms produced in a factory] - -.box-inv-5.small[ATE of your program] - ---- - -# Samples and estimates - -.box-inv-5.medium[We take a sample and make a guess] - --- - -.box-5[This single value is a *point estimate*] - -.box-5.small[(This is the Greek letter with a hat)] - ---- - -# Variability - -.box-inv-5.medium[You have an estimate,
    but how different might that
    estimate be if you take another sample?] - ---- - -# Left-handedness - -.box-inv-5.medium[You take a random sample of
    50 GSU students and 5 are left-handed.] - --- - -.box-5.less-medium[If you take a different random sample of
    50 GSU students, how many would you
    expect to be left-handed?] - --- - -.box-inv-5[3 are left-handed. Is that surprising?] - --- - -.box-inv-5[40 are left-handed. Is that surprising?] - ---- - -# Nets and confidence intervals - -.box-inv-5.medium[How confident are we that the sample
    picked up the population parameter?] - --- - -.box-inv-5.medium[Confidence interval is a net] - --- - -.box-5[We can be X% confident that our net is
    picking up that population parameter] - -.box-inv-5.small[If we took 100 samples, at least 95 of them would have the
    true population parameter in their 95% confidence intervals] - ---- - -layout: false - -> A city manager wants to know the true average property value of single-value homes in her city. She takes a random sample of 200 houses and builds a 95% confidence interval. The interval is ($180,000, $300,000). - --- - -.box-5[We're 95% confident that the
    interval ($180,000, $300,000)
    captured the true mean value] - ---- - -layout: true -class: title title-5 - ---- - -# WARNING - --- - -.box-inv-5.medium[It is way too tempting to say
    “We’re 95% sure that the
    population parameter is X”] - --- - -.box-5[People do this all the time! People with PhDs!] - --- - -.box-5[YOU will try to do this too] - -??? - -OpenIntro Stats p. 186 - -First, notice that the statements are always about the population parameter, which considers all American adults for the energy polls or all New York adults for the quarantine poll. - -We also avoided another common mistake: incorrect language might try to describe the confidence interval as capturing the population parameter with a certain probability. Making a probability interpretation is a common error: while it might be useful to think of it as a probability, the confidence level only quantifies how plausible it is that the parameter is in the given interval. - -Another important consideration of confidence intervals is that they are only about the population parameter. A confidence interval says nothing about individual observations or point estimates. Confidence intervals only provide a plausible range for population parameters. - ---- - -# Nets - -.box-inv-5.medium[If you took lots of samples,
    95% of their confidence intervals
    would have the single true value in them] - ---- - -layout: false - -.center[ -
    - Lots of confidence intervals -
    -] - ---- - -layout: true -class: title title-5 - ---- - -# Frequentism - -.box-inv-5.medium[This kind of statistics is called "frequentism"] - --- - -.box-5[The population parameter θ is fixed and singular
    while the data can vary] - -$$ -P(\text{Data} \mid \theta) -$$ - --- - -.box-5[You can do an experiment over and over again;
    take more and more samples and polls] - ---- - -# Frequentist confidence intervals - -.box-inv-5.medium.sp-before["We are 95% confident that this net
    captures the true population parameter"] - --- - -.box-5.medium.sp-before[~~"There's a 95% chance that the
    true value falls in this range"~~] - ---- - -layout: false -class: middle - -.box-5.huge[Weekends and
    restaurant scores] - ---- - -layout: true -class: title title-5 - ---- - -# Bayesian statistics - -.pull-left[ -.center[ -
    - Thomas Bayes -
    Rev. Thomas Bayes
    -
    -] -] - -.pull-right.small[ - -$$P(\theta \mid \text{Data})$$ - -  - -$$\color{orange}{P(\text{H} \mid \text{E})} = \frac{\color{red}{P(\text{H})} \times\color{blue}{P(\text{E} \mid \text{H})}}{\color{black}{P(\text{E})}}$$ - -] - - ---- - -# Bayesianism in WWII - -.pull-left[ -.center[ -
    - Alan Turing -
    Alan Turing
    -
    -] -] - -.pull-right[ -.center[ -
    - Enigma machine -
    An enigma machine
    -
    -] -] - ---- - -layout: true -class: middle - ---- - -$$\color{orange}{P(\text{H} \mid \text{E})} = \frac{\color{red}{P(\text{H})} \times\color{blue}{P(\text{E} \mid \text{H})}}{\color{black}{P(\text{E})}}$$ - -  - -$$ -\color{orange}{P(\text{Hypothesis} \mid \text{Evidence})} = -$$ - -$$ -\frac{ -\color{red}{P(\text{Hypothesis})} \times -\color{blue}{P(\text{Evidence} \mid \text{Hypothesis})} -}{ -\color{black}{P(\text{Evidence})} -} -$$ - ---- - -.center[ -
    - Bayesian formulas -
    -] - ---- - -.center[ -
    - Bayesian formulas -
    -] - ---- - -.box-5.huge[Bayesian statistics and
    more complex questions] - ---- - -.center[ -
    - Bayesian formulas -
    -] - ---- - -.box-5.huge[But the math is too hard!] - -.box-inv-5[So we simulate!] - -.box-inv-5.small[(Monte Carlo Markov Chains, or MCMC)] - ---- - -.box-5.huge[Weekends and
    restaurant scores again] - ---- - -layout: true -class: title title-5 - ---- - -# Bayesianism and parameters - -.center[ -.pull-left-wide[ -.box-inv-5[In the world of frequentism,
    there's a fixed population parameter
    and the data can hypothetically vary] -] - -.pull-right-narrow[ -$$ -P(\text{Data} \mid \theta) -$$ -] -] - --- - -.center[ -.pull-left-wide[ -.box-inv-5[In the world of Bayesianism,
    the data is fixed .small[(you collected it just once!)]
    and the population parameter can vary] -] - -.pull-right-narrow[ -$$ -P(\theta \mid \text{Data}) -$$ -] -] - -??? - -In frequentism land, the parameter is fixed and singular and the data can vary - you can do an experiment over and over again, take more and more samples and polls - -In Bayes land, the data is fixed (you collected it, that's it), and the parameter can vary - ---- - -# Bayesian credible intervals - -.box-5.small[(AKA posterior intervals)] - -.box-inv-5.medium.sp-before["Given the data, there is a 95% probability
    that the true population parameter
    falls in the credible interval"] - -??? - -> a Bayesian statistician would say “given our observed data, there is a 95% probability that the true value of θ falls within the credible region” while a Frequentist statistician would say “there is a 95% probability that when I compute a confidence interval from data of this sort, the true value of θ will fall within it”. -(https://freakonometrics.hypotheses.org/18117) - -> Note how this drastically improve the interpretability of the Bayesian interval compared to the frequentist one. Indeed, the Bayesian framework allows us to say “given the observed data, the effect has 95% probability of falling within this range”, compared to the less straightforward, frequentist alternative (the 95% Confidence* Interval) would be “there is a 95% probability that when computing a confidence interval from data of this sort, the effect falls within this range”. -(https://easystats.github.io/bayestestR/articles/credible_interval.html) - ---- - -# Intervals - -.pull-left[ -.box-inv-5.medium[Frequentism] - -.box-5[There's a 95% probability
    that the range contains the true value] - -.box-5[Probability of the range] - -.box-inv-5[Few people naturally
    think like this] -] - -.pull-right[ -.box-inv-5.medium[Bayesianism] - -.box-5[There's a 95% probability
    that the true value falls in this range] - -.box-5[Probability of the actual value] - -.box-inv-5[People *do* naturally
    think like this!] -] - -??? - -There's a 95% probability that the range contains the true value (freq) - We are 95% confident that this net captures the true population parameter -vs. -There's a 95% probability that the the true value falls in this range (bayes) - -This is a minor linguistic difference but it actually matters a lot! With frequentism, you have a range of possible values - you don't really know the true parameter, but it's in that range somewhere. Could be at the very edge, could be in the middle. With Bayesianism, you focus on the parameter itself, which has a distribution around it. It could be on the edge, but is most likely in the middle - -Probability of range boundaries vs probability of parameter values - -Bayesian p-value = probability that it's greater than 0 - you can say that there's a 100% chance that the coefficient is not zero, no more null worlds! - ---- - -# Thinking Bayesianly - -.box-inv-5.less-medium[We all think Bayesianly,
    even if you've never heard of Bayesian stats] - -.box-5[Every time you look at a confidence interval, you inherently think that the parameter is around that value, but that's wrong!] - --- - -.box-inv-5.less-medium.sp-before[BUT Imbens cites research that
    that's actually generally okay] - -.box-5[Often credible intervals are super similar to confidence intervals] - - ---- - -# Bayesian inference - -.box-inv-5.medium[What do you do without p-values then?] - --- - -.pull-left[ -.box-5.small[Probability
    of direction] - -
    - Probability of direction -
    -] - --- - -.pull-right[ -.box-5.small[Region of practical
    equivalence (ROPE)] - -
    - ROPE -
    -] - ---- - -layout: false -class: middle - -.box-5.huge[Weekends and
    restaurant scores
    once more] diff --git a/slides/06-inferencia2.html b/slides/06-inferencia2.html new file mode 100644 index 00000000..52840c5d --- /dev/null +++ b/slides/06-inferencia2.html @@ -0,0 +1,805 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/06-inferencia2_files/figure-html/unnamed-chunk-1-1.png b/slides/06-inferencia2_files/figure-html/unnamed-chunk-1-1.png new file mode 100644 index 00000000..aef6eda9 Binary files /dev/null and b/slides/06-inferencia2_files/figure-html/unnamed-chunk-1-1.png differ diff --git a/slides/06-inferencia2_files/figure-html/unnamed-chunk-2-1.png b/slides/06-inferencia2_files/figure-html/unnamed-chunk-2-1.png new file mode 100644 index 00000000..458771c9 Binary files /dev/null and b/slides/06-inferencia2_files/figure-html/unnamed-chunk-2-1.png differ diff --git a/slides/06-inferencia2_files/figure-html/unnamed-chunk-3-1.png b/slides/06-inferencia2_files/figure-html/unnamed-chunk-3-1.png new file mode 100644 index 00000000..cb7cb073 Binary files /dev/null and b/slides/06-inferencia2_files/figure-html/unnamed-chunk-3-1.png differ diff --git a/slides/06-inferencia2_files/figure-html/unnamed-chunk-4-1.png b/slides/06-inferencia2_files/figure-html/unnamed-chunk-4-1.png new file mode 100644 index 00000000..278ffc4b Binary files /dev/null and b/slides/06-inferencia2_files/figure-html/unnamed-chunk-4-1.png differ diff --git a/slides/06-inferencia2_files/figure-html/unnamed-chunk-5-1.png b/slides/06-inferencia2_files/figure-html/unnamed-chunk-5-1.png new file mode 100644 index 00000000..278ffc4b Binary files /dev/null and b/slides/06-inferencia2_files/figure-html/unnamed-chunk-5-1.png differ diff --git a/slides/06-inferencia5.Rmd b/slides/06-inferencia5.Rmd new file mode 100644 index 00000000..232b9331 --- /dev/null +++ b/slides/06-inferencia5.Rmd @@ -0,0 +1,633 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2024" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, echo=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(tidyverse, kableExtra) +``` + + +```{r xaringanExtra, echo=FALSE} +xaringanExtra::use_animate_css() +xaringanExtra::use_animate_all("fade") +xaringanExtra::use_scribble() +xaringanExtra::use_tile_view() +xaringanExtra::use_search(show_icon = TRUE) +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.app]](https:/correlacional.netlify.app) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## .gray[Sesión 6:] +## .curso[Inferencia 5: Prueba t y direccionalidad]] +] +] + +--- +class: inverse + +![](img/herramientas.png) + +--- +class: inverse +### .yellow[Procedimiento: 5 pasos de la inferencia] (ajustados de Ritchey) + +1. Formular hipótesis ( $H_0$ y $H_A$) + +2. Obtener error estándar y estadístico de prueba empírico correspondiente (ej: Z o t) + +3. Establecer la probabilidad de error $\alpha$ (usualmente 0.05) y obtener valor crítico (teórico) de la prueba correspondiente + +4. Cálculo de intervalo de confianza / contraste valores empírico/crítico + +5. Interpretación + +--- +# Pendientes: + +- prueba t + +- cálculo de valor crítico de prueba para contraste de hipótesis + +- hipótesis direccionales (por ejemplo, mayor o menor qué) + +--- +class: inverse botom right + +# Prueba t + +--- +# Comparación entre grupos +- gran parte de las hipótesis de investigación se relacionan con **diferencias entre grupos**, ej: + + - hombres obtienen mayor salario que las mujeres + + - los chilenos son más prejuiciosos que los migrantes + + - ahora se apoyan los cambios más graduales que antes (comparación en el tiempo) + +--- + +(sociología y método comparativo) + +--- +# Comparación de medias + +- en análisis cuantitativo, buena parte de las hipótesis comparativas remiten a comparaciones entre promedios + + - ej. clase anterior: el promedio salarial de los hombres es mayor que el de las mujeres + +- la clase anterior construimos un intervalo de confianza para contrastar esta hipótesis, y para eso utilizamos prueba Z ... lo que no corresponde, pero solo fue a modo de simplificación: + +--- +# Del ejemplo de la clase anterior (sub muestra CASEN) + +```{r echo=FALSE} +pacman::p_load(sjmisc, haven, dplyr, stargazer, interpretCI, kableExtra) +load("casen2022_inf2.Rdata") +options(scipen=999) # para evitar notación en los ceros +set.seed(20) # para fijar el resultado aleatorio +casen_350 <- casen2022_inf %>% select(salario,sexo) %>% sample_n(350) +casen_350 <- na.omit(casen_350) +``` + +```{r} +casen_350%>% # se especifica la base de datos + dplyr::group_by(sexo=sjlabelled::as_label(sexo)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla +``` + +Diferencia salarial = 654.585-604.420=**50.165** + +--- +# Generación de intervalo (con Z) + +\begin{align*} +\bar{x}_1-\bar{x}_2 &\pm t_{\alpha/2}*SE_{\bar{x_1}-\bar{x_2}} \\\\ +50165 &\pm 1.96*50561 \\\\ +50165 &\pm 99099.56 \\\\ +CI[-49287.48&;149617.63] +\end{align*} + +Asumiendo que el valor Z para un error $\alfa$ de 0.5 (o 95% de confianza) es de **1.96** + +El valor de la prueba (en este caso Z) que se define para un determinado nivel de error se denomina **valor crítico** + +Para diferencia de medias necesitamos un valor crítico más preciso que el que nos da $Z$, que se denomina el valor $t$. + +--- +# $t$ y valores críticos + +- la distribución t es similar a Z + +- se basa en la distribución normal, pero con ajuste para muestras pequeñas y para cuando no conocemos la desviación estándar de la población + +- por lo tanto, la forma de la distribucion varía según el tamaño muestral, asociado al concepto de **grados de libertad** + +--- +class: middle, center + +![:scale 60%](img/t_vs_z.png) + +--- +.pull-left[ +## Cálculo de valor crítico en Z y t +![](img/confidence-interval.png) +Recordemos el cáĺculo de valores críticos en Z para construir un intervalo de confianza al 95% (clase Inferencia 3): +] + +.pull-right[ +.medium[ +Límite inferior: 2.5% (0.025) +```{r} +qnorm(0.025) # límite inferior +``` + +Límite superior: 2.5% + 95% = 97.5% (0.975) +```{r} +qnorm(0.975) # límite superior +``` +] +] + +Y aproximando, $\pm$ **1.96** + +--- +- En el ejemplo de la clase anterior, para una diferencia de salarios de 50165, un error estándar de 50561, y un Z de 1.96= + + +\begin{align*} +\bar{x}_1-\bar{x}_2 &\pm [Z]_{\alpha/2}*SE_{\bar{x_1}-\bar{x_2}} \\\\ +50165 &\pm 1.96*50561 \\\\ +50165 &\pm 99099.56 \\\\ +CI[-49287.48&;149617.63] +\end{align*} + +--- +# Intervalo de confianza para diferencia de medias con prueba $t$ + +- la obtención del valor crítico para un determinado nivel de confianza es similar a Z, pero ajustado al tamaño muestral + +- el tamaño muestral se asocia al concepto de **grados de libertad** + +- la pregunta a responder es: ¿cuál es el valor crítico de $t$ para una probabilidad de error $\alpha$ y grados de libertad $N-2$? + +--- +.pull-left[ +![:scale 60%](img/t_table.png) +] + +.pull-right[ +Para esto, tradicionalmente se recurre a la "tabla de valores $t$" + +A medida que aumenta la muestra (asociada a DF-grados de libertad), t se aproxima a Z + +Como se ve en la tabla, en una muestra de 1000 el valor crítico para 0.025 t=1.96 +] + +--- +# Establecimiento del valor crítico de la prueba (t) + +.pull-left[ + +- para un nivel de error $\alpha=0.05$ + +- y una hipótesis de diferencia de dos colas: $\alpha/2=[0.025-0.975]$ + +- grados de libertad N-2= 343-2 = 341] + +.pull-right[ +.medium[ +```{r} +qt(p=.05/2, df=341) +``` + +```{r} +qt(p=.05/2, df=341, + lower.tail=FALSE) +``` + +Como vemos, es un poco mayor a Z pero parecido, ya que la muestra es de buen tamaño +]] + +--- +# Construcción de intervalo de confianza para diferencia de medias en base a prueba $t$ + +\begin{align*} +\bar{x}_1-\bar{x}_2 &\pm t_{\alpha/2}*SE_{\bar{x_1}-\bar{x_2}} \\\\ +50165 &\pm 1.967*50561 \\\\ +50165 &\pm 99453.49 \\\\ +CI[-49288.49&\ ;149618.5] +\end{align*} + +--- +# Prueba $t$ y test de hipótesis + +.pull-left[ +.medium[ +- además de la construcción de intervalos, otra forma más tradicional de contraste de hipótesis para diferencia de medias es la prueba $t$ + +- la prueba $t$ consiste en el contraste de un _valor crítico_ de $t$ con un _valor empírico_ $t$ (o simplemente $t$) con la siguiente fórmula: +]] + +.pull-right[ +## $t=\frac{(\bar{x}_1-\bar{x}_2)}{\sqrt{\frac{s_1²}{\sqrt{n_1}}+\frac{s_2²}{\sqrt{n_2}} }}$ + +El denominador es el .red[error estándar de la diferencia de promedios] (que vimos la clase pasada)] + +--- + +.pull-left-narrow[Este t se compara con un valor crítico (teórico) de t asociado a una probabilidad de error $\alpha$, ej: 0.05 + +Si el t empírico es igual o superior al crítico se rechaza $H_0$ ] + +.pull-right-wide[ +![](https://multivariada.netlify.app/slides/07-inferencia/imagen4.png) +] + +--- +# En nuestro ejemplo: + +Para una diferencia de salarios de 50165, un error estándar de 50561 + +## $t=\frac{(\bar{x}_1-\bar{x}_2)}{\sqrt{\frac{s_1²}{\sqrt{n_1}}+\frac{s_2²}{\sqrt{n_2}} }}=\frac{50165}{50561}=0.9921$ + +Este valor $t$ (empírico) se contrasta con el valor crítico correspondiente a un 5% de probabilidad de error + +--- + +En este contraste se compara el valor estimado del estadístico de prueba y sus valores críticos: + +$$t_{cri}= -1.96 < t_{est}=0.992 < t_{cri}= 1.96$$ +Por lo tanto, nuestro valor estimado queda fuera de la zona de rechazo de la hipótesis nula. + +En consecuencia, con un nivel de confianza de 95% no podemos afirmar que existen diferencias salariales entre hombres y mujeres + +--- + +.pull-left-wide[ +```{r echo=FALSE} +pacman::p_load(gginference) +ggttest(t.test( + salario ~ sexo, + data = casen_350, + var.equal=TRUE)) + + theme( + text = element_text(size = 20)) +``` +] + + +.pull-right-narrow[ +.medium[ +
    +
    +
    +
    +
    +
    +
    +El gráfico muestra nuestro valor estimado de t fuera de la zona de rechazo (zona gris en la curva). Por lo tanto, no podemos rechazar $H_0$, las diferencias no son distintas de cero +] +] + +--- +# $t$ y $p$ + +- el cálculo de $t$ (estimado) nos da un valor en la curva, que puede ser transformado al valor de probabilidad de área bajo la curva (tal como en Z) + +- _cual es la probabilidad de error (valor p) de un $t$ específico?_ + +- esto también se puede ver en una tabla de valores $t$ y sus respectivas probabilidades + +- y en R ... + +--- + + +```{r eval=FALSE} +(qt(t,df, lower.tail = FALSE))*2 +``` +Donde: +- qt: función que entrega la probabilidad para un valor $t$ + +- df: grados de libertar (degrees of freedom) +- lower.tail=FALSE: considera las probabilidades acumuladas hacia la cola superior de la curva + +- *2: al ser una prueba de diferencias, considera zona de rechazo en ambas direcciones de la curva, por lo que las probabilidades se multiplican por 2 + +--- +En nuestro ejemplo: + +```{r} +(pt(0.99215, 341, lower.tail = FALSE))*2 +``` + +- La probabilidad de error del $t$ estimado es de 0.322. + +- Esto quiere decir es que en la estimación de esta diferencia de medias, nos estamos equivocando aproximadamente un tercio de las veces + +- Esta probabilidad está lejos del límite convencional de probabilidad de error de 0.05, por lo que se rechaza la hipótesis nula + +--- +class: inverse, middle, center + +# A mayor valor $t$, menor probabilidad de error $p$ + +--- +# Test de hipótesis: insumos complementarios + +Entonces, se logra rechazar la hipótesis nula cuando: + +- el intervalo de confianza no contiene el 0 + +- ### $t_{estimado} > t_{crítico}$ + +- ### $p_{estimado} < p_{crítico}$, + + + - o en términos generales convencionales, p<0.05 + +--- +# Test de hipótesis de diferencias en R + +```{r} +t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +``` + +--- +# tabla t test con `rempsyc` + +```{r} +pacman::p_load(rempsyc,broom) +model <- t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +stats.table <- tidy(model, conf.int = TRUE) +nice_table(stats.table, broom = "t.test") + +``` +??? +https://rempsyc.remi-theriault.com/articles/t-test + +--- +# Reporte formato APA + +_"Se realizó una prueba t para muestras independientes para comparar los salarios entre hombres y mujeres. Los resultados indicaron una diferencia no significativa en los salarios entre hombres (M = 654585, SD = 468692) y mujeres (M = 604420, SD = 444666); t(341)=0.9921, p=0.321. El intervalo de confianza del 95% para la diferencia de medias fue [−49288.49;149618.5]._ + +[diferencia no significativa=no se logra rechazar $H_0$] + +--- +# En R con librería `report` + +```{r results='hide'} +model <- t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +report(model) +``` + +_La prueba t de dos muestras que evalúa la diferencia de salario según sexo (media en el grupo 1 = 654585, media en el grupo 2 = 604420) sugiere que el efecto es positivo, estadísticamente no significativo y muy pequeño (diferencia = 50165, IC del 95% [-49,287.48, 150,000], t(341) = 0.99, p = 0.322)._ + +.small[[traducido y con mínima edición]] + +--- +class: inverse bottom right +# Hipótesis direccionales + +--- +## Tipos de preguntas e hipótesis (ej: con promedio(s)) +---- + +.small[ + +| **Pregunta**| **Hipotesis** | **Prueba** +|---------------------|------------------------------------------------------| +| A. ¿Existe el promedio en la población?
    | $$H_{a}: \bar{X}_1 \neq 0$$ $$H_{0}: \bar{X}_1 = 0$$ | Dos colas (no direccional) +| B. ¿Existen diferencias de promedios en la población? | $$H_{a}: \bar{X}_1 - \bar{X}_2 \neq 0$$ $$H_{0}: \bar{X}_1 - \bar{X}_2= 0$$ | Dos colas (no direccional) +| C. ¿Es un promedio (1) superior (o inferior) al otro (2)? | $$H_{a}: \bar{X}_1 - \bar{X}_2 \gt 0$$ $$H_{0}: \bar{X}_1 - \bar{X}_2 \leq 0$$ | Una cola (direccional) + - ] + +--- +class: center middle + +![:scale 73%](img/one_vs_two-tailed.png) + +--- +class: middle + +.pull-left[ +![](img/direccional-derecha.png) +] + +.pull-right[ +Si bien en teoría las hipótesis direccionales se pueden plantear en ambas direcciones, en general (y por simpleza) se expresan en términos de "mayor que", quedando la zona de rechazo de $H_0$ a la derecha +] + +--- +## Pasos en test de hipótesis + +1. Formulación: El salario de los hombres (grupo 1) es mayor al de las mujeres (grupo 2) + +\begin{align*} +H_{a}: \bar{X}_1 \gt \bar{X}_2 \\ +H_{0}: \bar{X}_1 \leq \bar{X}_2 +\end{align*} + +2.Obtener error estándar y estadístico de prueba (lo mismo que para al caso anterior) + + $$t=\frac{(\bar{x}_1-\bar{x}_2)}{\sqrt{\frac{s_1²}{\sqrt{n_1}}+\frac{s_2²}{\sqrt{n_2}} }}=\frac{50165}{50561}=0.9921$$ +--- +3.Probabilidad de error y valor crítico + +- seguimos con probabilidad de error ( $\alpha$ 0.05), pero a diferencia de las no-direccionales no se divide entre 2 (colas), sino que es solo para una + +.center[ +![:scale 80%](img/One_tailed_and_two_tailed_t-test.png) +] + + +--- +3.Probabilidad de error y valor crítico + +.pull-left[ + +- para un nivel de error $\alpha=0.05$ (de una cola) + +- grados de libertad N-2= 343-2 = 341 +] + +.pull-right[ +```{r} +qt(p=.05, + df=341, + lower.tail = FALSE) +``` + +[lower.tail=FALSE se refiere que el calculo refiere a la cola superior] + +] + +--- +4.Contraste + +.pull-left[ +- Recordemos nuestra hipótesis nula: + +$$H_{0}: \bar{X}_{hombres} \leq \bar{X}_{mujeres}$$ +- Considerando los valores de contraste: +$$t_{estimado}=0.992 < t_{critico}=1.6$$ + +] + +.pull-right[ + +```{r echo=FALSE, results='hide'} +model_dir <- t.test(salario ~ sexo, data = casen_350, alternative="greater", var.equal=TRUE, conf.level = 0.95) +stats.table3 <- tidy(model_dir) +nice_table(stats.table3, broom = "t.test") +directional <- ggttest(model_dir) +``` +```{r echo=FALSE} +directional +``` + +] +--- + +## 5. Interpretación + +.small[ +```{r echo=FALSE} +nice_table(stats.table3, broom = "t.test") +``` +] + +_"Se realizó una prueba t para muestras independientes para examinar si el salario promedio de los hombres (M = 654585, SD = 468692) es mayor que el de las mujeres (M = 604420, SD = 444666), siendo la diferencia entre ambos de 50.165. Los resultados no fueron estadísticamente significativos, t(341)=0.9921, p=0.161. Por lo tanto, con un 95% de confianza no se puede rechazar la hipótesis nula, lo que no permite sustentar la hipótesis inicial (alternativa) que el salario de los hombres es mayor que el de las mujeres."_ + +??? +Nota: en el práctico cambiar el N de la muestra y establecer distintos niveles de confianza + +--- +class: inverse middle center +# ¿Qué habría pasado con un tamaño muestral más grande, y/o con un nivel de probabilidad de error distinto? +--- +# sub-muestra CASEN 1500 casos +```{r echo=FALSE} +pacman::p_load(sjmisc, haven, dplyr, stargazer, interpretCI, kableExtra) +load("casen2022_inf2.Rdata") +options(scipen=999) # para evitar notación en los ceros +set.seed(20) # para fijar el resultado aleatorio +casen_1500 <- casen2022_inf %>% select(salario,sexo) %>% sample_n(1500) +casen_1500 <- na.omit(casen_1500) +``` +```{r} +casen_1500%>% # se especifica la base de datos + dplyr::group_by(sexo=sjlabelled::as_label(sexo)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla +``` + +--- +.medium[ +.pull-left[ +```{r} +model_dir2 <- t.test( + salario ~ sexo, + data = casen_1500, + alternative="greater", + var.equal=TRUE, + conf.level = 0.95) +stats.table4 <- tidy(model_dir2) +nice_table(stats.table4, + broom = "t.test") +``` +] +] +.pull-right[ +```{r echo=FALSE} +directional2 <- ggttest(model_dir2) +directional2 +``` +] + +--- + +Más como esto: Práctico 2 (o _intentando rechazar_) + +--- + +# Pendientes: hipótesis para proporciones, se verá en la próxima unidad en asociación entre variables categóricas + + +--- +class: middle center +![:scale 70%](img/rechazar_meme.png) + +--- +class: front + + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Inferencia, asociación y reporte + + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2024 +## [.orange[correlacional.netlify.app]](https:/correlacional.netlify.app) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ + +]] +] + diff --git a/slides/06-inferencia5.html b/slides/06-inferencia5.html new file mode 100644 index 00000000..aade3f49 --- /dev/null +++ b/slides/06-inferencia5.html @@ -0,0 +1,818 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-14-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-14-1.png new file mode 100644 index 00000000..42f3bbc1 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-14-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-15-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-15-1.png new file mode 100644 index 00000000..42f3bbc1 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-15-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-16-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-16-1.png new file mode 100644 index 00000000..42f3bbc1 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-16-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-20-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-20-1.png new file mode 100644 index 00000000..773b7c70 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-20-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-21-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-21-1.png new file mode 100644 index 00000000..773b7c70 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-21-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-7-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-7-1.png new file mode 100644 index 00000000..69a00d68 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-7-1.png differ diff --git a/slides/06-inferencia5_files/figure-html/unnamed-chunk-8-1.png b/slides/06-inferencia5_files/figure-html/unnamed-chunk-8-1.png new file mode 100644 index 00000000..69a00d68 Binary files /dev/null and b/slides/06-inferencia5_files/figure-html/unnamed-chunk-8-1.png differ diff --git a/slides/06-slides.Rmd b/slides/06-slides.Rmd deleted file mode 100644 index a9724a1a..00000000 --- a/slides/06-slides.Rmd +++ /dev/null @@ -1,827 +0,0 @@ ---- -title: "Threats to validity" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(infer) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# The Four Horsemen
    of Validity - -.class-info[ - -**Session 6** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-3.medium.sp-after-half[Construct validity] - --- - -.box-1.medium.sp-after-half[Statistical conclusion validity] - --- - -.box-5.medium.sp-after-half[Internal validity] - --- - -.box-6.medium.sp-after-half[External validity] - ---- - -name: construct-validity -class: center middle section-title section-title-3 animated fadeIn - -# Construct validity - ---- - - -.box-inv-3.medium[A new program hopes to
    improve student commitment to school] - --- - -.box-inv-3.medium.sp-after[Participants score 200 points higher on the SAT and have a 0.3 higher GPA, on average] - --- - -.center.float-left[ -.box-3.medium[Success!]  .box-3.medium[Success?] -] - ---- - -layout: true -class: title title-3 - ---- - -# The Streetlight Effect - -.center[ -
    - Streetlight -
    -] - -??? - -Drunk guy looking for keys in the light of the lamppost instead of over in the bushes where they lost them - -Source: - ---- - -# Construct validity - -.box-inv-3.medium[Are you measuring what you want to measure?] - --- - -.box-3[Do test scores measure commitment to school?
    Teacher performance? Principal skill?] - --- - -.box-3.sp-after[Test scores measure how good kids are at taking tests] - --- - -.box-inv-3.medium[This is why we spend so much time
    on outcome measurement construction!] - ---- - -layout: false -name: statistical-conclusion-validity -class: center middle section-title section-title-1 animated fadeIn - -# Statistical conclusion
    validity - ---- - -layout: true -class: title title-1 - ---- - -# Statistical conclusion validity - --- - -.box-inv-1.medium[Are your statistics correct?] - --- - -.box-1[Statistical power] - --- - -.box-1[Violated assumptions of statistical tests] - --- - -.box-1[Fishing and p-hacking] - --- - -.box-1[Spurious statistical significance] - ---- - -# Power - -```{r fake-income-program, include=FALSE} -set.seed(1234) -fake_income_t <- tibble(Person = 1:200, - Group = "Treatment", - Before = rnorm(200, mean = 200, sd = 70), - After = rnorm(200, mean = 250, sd = 70)) - -fake_income_c <- tibble(Person = 201:400, - Group = "Control", - Before = rnorm(200, mean = 200, sd = 70), - After = rnorm(200, mean = 220, sd = 70)) - -fake_income <- bind_rows(fake_income_t, fake_income_c) %>% - mutate(Difference = After - Before) %>% - sample_frac(1) - -fake_income_small <- fake_income %>% - group_by(Group) %>% - sample_n(5) %>% - ungroup() - -diff_small <- fake_income_small %>% - specify(Difference ~ Group) %>% - calculate("diff in means", order = c("Treatment", "Control")) - -boot_small <- fake_income_small %>% - specify(Difference ~ Group) %>% - hypothesize(null = "independence") %>% - generate(reps = 1000, type = "permute") %>% - calculate("diff in means", order = c("Treatment", "Control")) - -p_small <- boot_small %>% - get_p_value(obs_stat = diff_small$stat, direction = "both") %>% - mutate(p_value_clean = scales::pvalue(p_value)) - -diff_big <- fake_income %>% - specify(Difference ~ Group) %>% - calculate("diff in means", order = c("Treatment", "Control")) - -boot_big <- fake_income %>% - specify(Difference ~ Group) %>% - hypothesize(null = "independence") %>% - generate(reps = 1000, type = "permute") %>% - calculate("diff in means", order = c("Treatment", "Control")) - -p_big <- boot_big %>% - get_p_value(obs_stat = diff_big$stat, direction = "both") %>% - mutate(p_value_clean = scales::pvalue(p_value)) -``` - - -.box-inv-1[A training program causes incomes to rise by $40] - -.center.small[ -```{r fake-income-example, echo=FALSE} -fake_income %>% - head(6) %>% - mutate(across(where(is.numeric), ~round(., 2))) %>% - knitr::kable(align = "llccc") -``` -] - ---- - -# Power - -.pull-left[ -.box-1.small[Survey 10 participants] - -```{r power-small, echo=FALSE, fig.width=6, fig.height=4.5, out.width="100%"} -boot_small %>% - visualize() + - geom_vline(xintercept = diff_big$stat, color = "#FF4136", size = 1) + - labs(x = "Average treatment − Average control", - y = "Count", - title = "Simulated world with no difference", - subtitle = paste0("N = 10; p = ", p_small$p_value_clean)) + - theme_light(base_size = 13, base_family = "Fira Sans Condensed") -``` - -] - --- - -.pull-right[ -.box-1.small[Survey 200 participants] - -```{r power-big, echo=FALSE, fig.width=6, fig.height=4.5, out.width="100%"} -boot_big %>% - visualize() + - geom_vline(xintercept = diff_big$stat, color = "#FF4136", size = 1) + - labs(x = "Average treatment − Average control", - y = "Count", - title = "Simulated world with no difference", - subtitle = paste0("N = 200; p = ", p_big$p_value_clean)) + - theme_light(base_size = 13, base_family = "Fira Sans Condensed") -``` - -] - ---- - -# What's the right sample size? - -.box-inv-1[Use a statistical power calculator to
    make sure you can potentially detect an effect] - -.center[ -
    - Google power calculator -
    -] - ---- - -# Test assumptions - -.box-inv-1[Every statistical test has certain assumptions] - --- - -.box-1.smaller[For instance, for OLS:] - -.center.float-left.smaller[ -.box-1[Linearity] .box-1[Homoscedasticity] .box-1[Independence] .box-1[Normality] -] - --- - -.box-inv-1.medium.sp-before[Make sure you're doing the stats correctly] - ---- - -# Fishing and p-hacking - -.box-inv-1[Wouldn't it be awesome to run thousands of models
    with different combinations of variables
    until you find coefficients that are statistically significant?] - --- - -.box-1.large[Don't!] - --- - -.center[ -
    - p-hacking -
    -] - -??? - - - ---- - -# Spurious statistical significance - -.box-inv-1.sp-after[If *p* threshold is 0.05 and you measure 20 outcomes,
    1 will likely show correlation by chance] - --- - -.center[ -
    - xkcd: significance -
    -] - -??? - - - ---- - -layout: false -name: internal-validity -class: center middle section-title section-title-5 animated fadeIn - -# Internal validity - ---- - -layout: true -class: title title-5 - ---- - -# Internal validity - --- - -.box-5[Omitted variable bias] - -.center.float-left[ -.box-inv-5[Selection] .box-inv-5[Attrition] -] - --- - -.box-5[Trends] - -.center.float-left[ -.box-inv-5[Maturation] .box-inv-5[Secular trends] .box-inv-5[Seasonality] .box-inv-5[Testing] .box-inv-5[Regression] -] - --- - -.pull-left-narrow[ -.box-5[Study calibration] - -.center.float-left[ -.box-inv-5[Measurement error] - -.box-inv-5[Time frame] -] -] - --- - -.pull-right-wide[ -.box-5[Contamination] - -.center.float-left[ -.box-inv-5[Hawthorne] .box-inv-5[John Henry] -] - -.center.float-left[ -.box-inv-5[Spillovers] .box-inv-5[Intervening events] -] -] - ---- - -# Selection - -.box-inv-5.less-medium.sp-after[If people can choose to enroll in a
    program, those who enroll will be
    different from those who do not] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Randomization into
    treatment and control groups] - ---- - -# Selection - -.box-inv-5.less-medium.sp-after[If people can choose when to
    enroll in a program, time might
    influence the result] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Shift time around] - ---- - -layout: false -class: bg-full -background-image: url("img/06/marriage-title.png") - -??? - -(happier people more likely to get married, so without randomly assigning marriage how would you study the impact of marriage on happiness?). They use a simple approach - since happiness varies over time set marriage equal to time zero and build a pre-post design around it. You essentially leverage the within-group variance and iron out across-age differences because of the varying ages of marriage. The whole insight it to change the time-line from calendar years to program years. - - - ---- - -class: bg-full -background-image: url("img/06/marriage-graph1.png") - ---- - -class: bg-full -background-image: url("img/06/marriage-graph2.png") - ---- - -class: bg-full -background-image: url("img/06/marriage-graph3.png") - ---- - -layout: true -class: title title-5 - ---- - -# Attrition - -.box-inv-5.less-medium.sp-after[If the people who leave a program or
    study are different than those who stay,
    the effects will be biased] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Check characteristics of those
    who stay and those who leave] - ---- - -# Fake microfinance program results - -.small.sp-after[ -```{r fake-microfinance, echo=FALSE} -microfinance <- tribble( - ~ID, ~`Increase in income`, ~`Remained in program`, - 1, 3, "Yes", - 2, 3.5, "Yes", - 3, 2, "Yes", - 4, 1.5, "No", - 5, 1, "No" -) - -ate_with <- scales::dollar(mean(microfinance$`Increase in income`)) -ate_without <- scales::dollar(mean(filter(microfinance, `Remained in program` == "Yes")$`Increase in income`)) - -microfinance %>% - mutate(`Increase in income` = scales::dollar(`Increase in income`)) %>% - knitr::kable(align = "ccc") -``` -] - -.pull-left[ -.box-inv-5[ATE with
    attriters = `r ate_with`] -] - --- - -.pull-right[ -.box-inv-5[ATE without
    attriters = `r ate_without`] -] - ---- - -# Maturation - -.box-inv-5.less-medium[Growth is expected naturally] - -.box-inv-5.sp-after[e.g. programs targeted at childhood development
    contend with the fact that children develop on their own too] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Use a comparison group to remove the trend] - ---- - -layout: false -class: bg-full -background-image: url("img/06/sesame-street.png") - -??? - -https://www.wellesley.edu/sites/default/files/assets/dailyshot/2015/wellesleystudy_sesamestreet.pdf - -https://umdrightnow.umd.edu/news/new-study-finds-sesame-street-improves-school-readiness - ---- - -layout: true -class: title title-5 - ---- - -# Secular trends - -.box-inv-5.less-medium[Patterns in data happen
    because of larger global processes] - -.center.float-left.sp-after[ -.box-5[Recessions] .box-5[Cultural shifts] .box-5[Marriage equality] -] - --- - -.box-7.medium.sp-before[How to fix] - -.box-inv-5.less-medium[Use a comparison group to remove the trend] - ---- - -# Seasonal trends - -.box-inv-5.less-medium.sp-after[Patterns in data happen because of
    regular time-based trends] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Compare observations from same time period
    or use yearly/monthly averages] - ---- - -layout: false - -.center[ -```{r giving-2017, echo=FALSE, fig.width=7, fig.asp=0.618, out.width="80%"} -giving_2017 <- tibble(Month = month.name, - Percent = c(0.072, 0.059, 0.076, 0.063, 0.076, 0.089, - 0.068, 0.071, 0.083, 0.082, 0.079, 0.182)) %>% - mutate(Month = fct_inorder(Month)) - -ggplot(giving_2017, aes(x = Month, y = Percent)) + - geom_col(fill = "#CF4446") + - labs(x = NULL, y = NULL, title = "Charitable giving by month, 2017") + - scale_y_continuous(labels = scales::percent_format(accuracy = 1)) + - scale_x_discrete(guide = guide_axis(n.dodge = 2)) + - coord_cartesian(ylim = c(0, 0.2)) + - theme_light(base_size = 13, base_family = "Fira Sans Condensed") + - theme(panel.grid.major.x = element_blank(), - plot.title = element_text(face = "bold", size = rel(1.5))) -``` -] - ---- - -layout: true -class: title title-5 - ---- - -# Testing - -.box-inv-5.less-medium.sp-after[Repeated exposure to questions or tasks
    will make people improve naturally] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Change tests, maybe don't offer pre-tests,
    use a control group that receives the test] - ---- - -# Regression to the mean - -.box-inv-5.less-medium[People in the extreme have a tendency to
    become less extreme over time] - -.center.float-left.sp-after[ -.box-5[Luck] .box-5[Crime and terrorism] .box-5[Hot hand effect] -] - --- - -.box-7.medium.sp-before[How to fix] - -.box-inv-5.less-medium[Don't select super high or
    super low performers] - -??? - -This isn’t because the universe trends toward some average; an extreme value is because of systematic and random extremes, which are rare. Luck goes away - ---- - -# Measurement error - -.box-inv-5.less-medium.sp-after[Measuring the outcome incorrectly
    will bias the effect] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Measure the outcome well] - ---- - -# Time frame - -.box-inv-5.less-medium.sp-after[If the study is too short, the effect might not
    be detectable yet; if the study is too long,
    attrition becomes a problem] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Use prior knowledge about the thing
    you're studying to choose the right length] - ---- - -# Hawthorne effect - -.box-inv-5.less-medium.sp-after[Observing people makes them behave differently] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Hide? Use completely unobserved control groups] - -??? - -Experiments in 1924-1932 at Hawthorne Works - ---- - -# John Henry effect - -.box-inv-5.less-medium.sp-after[Control group works hard to prove
    they're as good as the treatment group] - --- - -.box-7.medium[How to fix] - -.box-inv-5.less-medium[Keep two groups separate] - ---- - -# Spillover effect - -.box-inv-5.less-medium[Control groups naturally pick up
    what the treatment group is getting] - -.center.float-left.sp-after[ -.box-5[Externalities] .box-5[Social interaction] .box-5[Equilibrium effects] -] - --- - -.box-7.medium.sp-before[How to fix] - -.box-inv-5.less-medium[Keep two groups separate;
    use distant control groups] - ---- - -# Intervening events - -.box-inv-5.less-medium.sp-after[Something happens that affects one of
    the groups and not the other] - --- - -.box-7.medium[How to fix] - -.center.huge[🤷‍♂️] - ---- - -# Internal validity - -.box-5[Omitted variable bias] - -.center.float-left[ -.box-inv-5[Selection] .box-inv-5[Attrition] -] - -.box-5[Trends] - -.center.float-left[ -.box-inv-5[Maturation] .box-inv-5[Secular trends] .box-inv-5[Seasonality] .box-inv-5[Testing] .box-inv-5[Regression] -] - -.pull-left-narrow[ -.box-5[Study calibration] - -.center.float-left[ -.box-inv-5[Measurement error] - -.box-inv-5[Time frame] -] -] - -.pull-right-wide[ -.box-5[Contamination] - -.center.float-left[ -.box-inv-5[Hawthorne] .box-inv-5[John Henry] -] - -.center.float-left[ -.box-inv-5[Spillovers] .box-inv-5[Intervening events] -] -] - ---- - -# Fixing internal validity - -.box-inv-5.medium[Randomization fixes a host of issues] - -.center.float-left.sp-after[ -.box-5[Selection] .box-5[Maturation] .box-5[Regression to the mean] -] - --- - -.box-inv-5.medium.sp-before[Randomization doesn't fix everything!] - -.center.float-left[ -.box-5[Attrition] .box-5[Contamination] .box-5[Measurement] -] - ---- - -layout: false -name: external-validity -class: center middle section-title section-title-6 animated fadeIn - -# External validity - ---- - -layout: true -class: title title-6 - ---- - -# Generalizability - -.box-inv-6.less-medium[Are your findings generalizable
    to the whole population?] - --- - -.pull-left.right[ -
    - Hospital lights increase risk of dying -
    -] - --- - -.pull-right.left[ -
    - …in mice -
    -] - ---- - -# Lab conditions vs. real world - -.box-inv-6.medium[Study volunteers are weird] - --- - -.box-6[Western, educated, from industrialized,
    rich, and democratic countries] - --- - -.box-inv-6.medium.sp-before[Not everyone takes surveys] - --- - -.float-left.center[ -.box-6[Online surveys] .box-6[Amazon Mechanical Turk] .box-6[Random digit dialing] -] - ---- - -# Different settings and circumstances - --- - -.box-inv-6.medium.sp-after[Does a study in one state
    apply to other states?] - --- - -.box-inv-6.medium[Does the effect from a mosquito net trial
    in Eritrea transfer to Bolivia?] diff --git a/slides/07-class.Rmd b/slides/07-class.Rmd deleted file mode 100644 index 063adf19..00000000 --- a/slides/07-class.Rmd +++ /dev/null @@ -1,241 +0,0 @@ ---- -title: "Class 7: RCTs and IPW" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 7 - -.class-info[ - -**February 23, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-3.medium.sp-after-half[Super quick FAQs] - --- - -.box-2.medium.sp-after-half[RCTs] - --- - -.box-4.medium.sp-after-half[Matching and IPW] - ---- - -layout: false -name: faqs -class: center middle section-title section-title-3 animated fadeIn - -# Super quick FAQs - ---- - -layout: true -class: middle - ---- - -.box-3.large[Commenting stuff] - -??? - -> I've had this question for a bit but remembered it during the section on building out the Matching and IPW project in R Studio. I'm trying to understand the commenting syntax in order to keep things in the code that do not get run. In Stata if you use /* to open and */ to close a comment block, everything between the two gets 'commented out' like this: -> -> /* -> Comments etc here -> */ -> -> Is there a way to do this in R with pound signs? - ---- - -.box-3.large[Randomness] - -.box-3.medium[How do we use random.org for things in R?] - ---- - -.box-3.medium[Do researchers actually check
    all of the assumptions of OLS?
    (or any statistical test?)] - -.box-inv-3.small[[Sometimes](https://stats.andrewheiss.com/donors-crackdowns-aid/03_h1-total-aid.html)] - ---- - -layout: false -name: rcts -class: center middle section-title section-title-2 animated fadeIn - -# RCTs - ---- - -layout: true -class: middle - ---- - -.box-2.large[Do we really not control
    for things in an RCT?] - ---- - -.box-2.large[Randomness and arrow deletion] - -??? - -> Since every arrow should reflect a causal relationship, it’s not possible for there to be an arrow pointing from a covariate to the allocation, since it is done at random. With no arrow pointing to the exposure, there can be no unblocked backdoor path, and thus no confounding. Voilà. - ---- - -.center[ -
    - Stack of coins -
    -] - -??? - -[Coins](http://www.freestockphotos.biz/stockphoto/8215) - ---- - -.box-2.medium[Wordle!] - -.center[ -
    - Blank Wordle -
    -] - -??? - - - - ---- - -.center[ -```text -Feb 10 2022 Day 236 PAUSE -Feb 11 2022 Day 237 ULCER -Feb 12 2022 Day 238 ULTRA -Feb 13 2022 Day 239 ROBIN - -----NYT TAKES OVER----- -Feb 14 2022 Day 240 CYNIC -Feb 15 2022 Day 241 AGORA -Feb 16 2022 Day 242 AROMA -Feb 17 2022 Day 243 CAULK -Feb 18 2022 Day 244 SHAKE -``` -] - -??? - - - ---- - -.box-2.large[Balance tests] - -??? - -Stratified randomization is okay - - - ---- - -.center[ -
    - Balance tests and The Good Place -
    -] - ---- - -.center[ -
    - Balance tests and The Good Place -
    -] - ---- - -.box-2.large[Can you walk through an example of
    RCTs in class?] - ---- - -layout: false -name: matching-ipw -class: center middle section-title section-title-4 animated fadeIn - -# Matching and IPW - ---- - -layout: true -class: middle - ---- - -.box-4.large[Can you talk more about
    propensity scores and
    "weirdness" weights?] - ---- - -.box-4.large[Why not just control for confounders
    instead of doing the whole matching/IPW dance?] - ---- - -.box-4.large[Which should we use?
    Matching or IPW?] - ---- - -.box-4.large[Can you walk through an example of
    IPW and matching in class?] diff --git a/slides/07-inferencia-draft.Rmd b/slides/07-inferencia-draft.Rmd new file mode 100644 index 00000000..c46d1589 --- /dev/null +++ b/slides/07-inferencia-draft.Rmd @@ -0,0 +1,837 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "https://multinivel.netlify.com/docpres/xaringan_custom/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = FALSE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 6: +## .orange[Inferencia 2: Hipótesis y error]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +class: roja right + +# .black[Contenidos] + +.pull-left-narrow[ +] +.pull-right-wide[ + +### .yellow[1- Resumen sesión anterior] + +] + + +--- +# Inferencia: la otra parte del análisis + +Cuando se analizan datos, 2 cosas principales + +.pull-left[ +.content-box-yellow[ +- cálculo del estadístico: + + - promedio + + - desviación estándar + + - correlación + + - ... +] +] + +.pull-right[ +.content-box-red[ +- inferencia: ¿existe este estadístico en la población? + + - probabilidad + + - error + + - significación + +] +] + +--- +# Parámetros y estadísticos + +---- + +| | Población (parámetro) | Muestra (estadístico) | +|--------------------- |------------ |--------- | +| Promedio | $\mu$ | $\bar{x}$ | +| Varianza | $\sigma²$ | $s²$ | +| Desviación estándar | $\sigma$ | $s$ | +| Correlación | $\rho$ | $r$ | + + +--- +# Muestreo y variabilidad + +¿Cómo es posible que la media x̄ obtenida a partir de una muestra de unos pocos hogares de todos los del país, pueda ser una estimación precisa de µ? + +Una segunda muestra aleatoria obtenida en el mismo momento estaría +formada por hogares distintos y, sin duda, daría un valor distinto de x̄ + +--- +# Muestreo y variabilidad + +**Variabilidad muestral**: el valor de un estadístico varía en un muestreo aleatorio repetido + +¿Cuánto varía? + +¿En qué rangos? + +¿Qué tan **probable** es el rango de variación? + +¿Es un rango aceptable en términos de investigación social? + +--- +# Dados, probabilidades y áreas + +.pull-left[ +![](img/areas4.png) +] + +.pull-right[ +
    + Eventos posibles (espacio muestral S) = 6 = (1,2,3,4,5,6) + + +\begin{align*} +P(x)\geq4&=P(4)+P(5)+P(6) \\ +&=0.1\overline{6}+0.1\overline{6}+0.1\overline{6} \\ +&=0.5 +\end{align*} +] + +--- +# Sucesos con distinta probabilidad + +Ej: suma de 3 dados al azar repetidos +.center[ +![](img/3dice.png) +] + +--- + +.pull-left[ +## Histograma +Frecuencias o probabilidad de cada evento + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black') + +``` + +] + +.pull-right[ +## Curvas de densidad + +Modelo matemático de la distribución + +```{r echo=FALSE} +#make this example reproducible +set.seed(0) + +#define data +data <- data.frame(x=rnorm(1000)) + +#create histogram and overlay normal curve +ggplot(data, aes(x)) + + geom_histogram(aes(y = ..density..), fill='lightgray', col='black')+ + stat_function(fun = dnorm, args = list(mean=mean(data$x), sd=sd(data$x))) + +``` + + +] + +--- +# ¿Por qué son importantes las distribuciones normales en estadística? + +- las distribuciones normales son buenas descripciones de algunas distribuciones de datos reales + +- permiten realizar **inferencia estadística** sobre fenómenos basados en distribuciones normales + +--- +## Distribución normal estándar +![:scale 80%](img/norm2.png) + +--- + +**Ejemplo**: + +Estatura promedio mujeres en Chile: 160 cm +Desviación estándar: 5 cm + +¿Qué podemos decir basándonos en la distribución normal? + +-- + +- el 68% de las mujeres se encuentra entre 155 y 165cm + +- el 95% de las mujeres se encuentra entre 150 y 170cm + +- solo un 5% de las mujeres mide más de 170cm +- prácticamente todas las mujeres (99.7) se encuentran entre 145 y 175cm + + +--- +# Valores $z$ y estandarización + +- estandarización: expresar el valor de una distribución en términos de desviaciones estándar basados en la distribución normal + +- para estandarizar un valor, se le resta la media y se divide por la desviación estándar + + +$$z=\frac{x-\mu}{\sigma}$$ + +- los valores estandarizados se denominan .red[valores z] + +--- +# Puntajes $z$ y proporciones +.pull-left[ +Los valores $z$ permiten calcular la proporción de casos bajo la curva normal que están sobre y bajo el puntaje + +Por ejemplo, para el caso de 1 desviación sobre el promedio, el área bajo la curva bajo este puntaje sería: + +] + +.pull-right[ + +```{r echo=FALSE} +# import ggplot +library(ggplot2) + +# x-axis and y-axis for the pdf line +x <- seq(-4,4,0.01) +y <- dnorm(x) + +# x-axis and y-axis for shaded area +x_shaded<- seq(-4, 1, 0.01) +y_shaded <- c(dnorm(x_shaded),0) +x_shaded<-c(x_shaded,1) + +# plot it, alpha sets the level of transparency in color +ggplot() + geom_line(aes(x, y))+geom_polygon(data = data.frame(x=x_shaded, y=y_shaded), aes(x_shaded, y_shaded),fill = "red",alpha = 1/5)+ +theme(panel.background = element_rect(fill='transparent'), + axis.line.x = element_line(color="black", size = 0.5), + axis.line.y = element_line(color="black", size = 0.5)) + + scale_x_continuous(n.breaks=8) + + theme(text = element_text(size = 20)) +``` +] + + +--- +class: middle + +.pull-left[ +## Curva normal, puntajes Z y proporciones +![](img/norm2.png) +] + +.pull-right[ +.medium[ +
    +
    +
    +Siguiendo con el ejemplo de altura $\bar{x}=160,\sigma=5$ + +$$z=\frac{x-\mu}{\sigma}=\frac{165-160}{5}=1$$ + +En base a la distribución normal sabemos que bajo 1 desviación estańdar está el 68% de los datos + la cola izquierda de la curva, que es (100-68/2)=16%. + +Ej: 84% (68+16) de los casos tienen una estatura menor a 165 cm +]] +--- +.pull-left[ +- Ej: estatura de 152cm + +\begin{align*} +z&=\frac{x-\mu}{\sigma}\\\\ +z&=\frac{altura-160}{5}\\\\ +z&=\frac{152-160}{5}=\frac{-8}{5}=-1.6 +\end{align*} +] + +.pull-right[ + +```{r echo=FALSE} +# x-axis and y-axis for shaded area +x_shaded<- seq(-4, -1.6, 0.01) +y_shaded <- c(dnorm(x_shaded),0) +x_shaded<-c(x_shaded,-1.6) + +# plot it, alpha sets the level of transparency in color +ggplot() + geom_line(aes(x, y))+geom_polygon(data = data.frame(x=x_shaded, y=y_shaded), aes(x_shaded, y_shaded),fill = "red",alpha = 1/5)+ +theme(panel.background = element_rect(fill='transparent'), + axis.line.x = element_line(color="black", size = 0.5), + axis.line.y = element_line(color="black", size = 0.5)) + + scale_x_continuous(n.breaks=8) + + theme(text = element_text(size = 20)) + +``` + +¿Cómo calcular el área bajo la curva para un valor específico? +] + + +--- +# Tabla de Puntajes Z + +.pull-left[ +- El valor correspondiente a -1.6 en la tabla de valores Z se busca en la fila Z -1.6 y la columna 0.00 (ya que la centésima de -1.6 es 0). + +- = 0.0548, es decir, alrededor de un 5% de los casos se enceuntra bajo esa estatura (152 cm) +] + +.pull-right[ +- Directamente en R= + +```{r} +pnorm(q=-1.6) +``` + +] + +--- +class: inverse + +## Resumen sesión anterior + +- inferencia: ¿con qué probabilidad podemos decir que lo que calculamos en nuestra muestra existe en la población? + +- probabilidades y distribución normal + +- puntajes Z y área bajo la curva normal + + +--- +class: inverse + +## Hoy: Distribuciones muestrales, error estándar e intervalos de confianza + +- ¿Qué tan probable es que un resultado obtenido en una muestra se deba al azar? + +- ¿Cómo nos sirve la curva normal para contrastar hipótesis de investigación? + +- ¿Con qué nivel de confianza podemos afirmar que nuestra hipótesis es verdadera? + +--- + +# Principios de la ciencia (Merton) + + +--- + +# LLAMADO AL ESCEPTISISMO (organizado con ciertas normas) + +--- + +# Inferencia + +¿En qué medida se pueden relacionar resultados que se encuentran en una .green[muestra[ (subconjunto de unidades) con lo que ocurre .red[en general]? + +-- +.medium[ +- Ej: si en un subconjunto de la población encuentro que el promedio de matemáticas es mayor en mujeres que en hombres ¿se puede .green[extrapolar] a la poblacion, o se debe solo al .red[azar]? +] + +-- +.content-box-red[ +.center[ +-> .red[¿Bajo qué normas o reglas estoy dispuest_ a aceptar que lo que obtuve con mi muestra (ej: un promedio) ocurre efectivamente en la población?]]] +??? + +¿le creo o no le creo al promedio de una muestra? ¿qué tendría que pasar para que le creyera? + +mapa y territorio, Borges +lidiando con el caos y la incertidumbre +la domesticación de la casualidad +error + +--- +# Ejercicio + +- tenemos una población de (ej.) 200 + +- en esta población existen 6 niveles educacionales, homogéneamente distribuidos (cada nivel educacional equivale a a 1/6 de la población) + +- por lo tanto, el nivel educacional promedio de la población equivale a 1+2+3+4+5+6/6= 3.5 + +--- +# Ejercicio: Muestra aleatoria y error + +- cada persona selecciona al azar a 5 sujetos (5 dados) y les "pregunta" su nivel educacional (cara superior del dado luego de tirarlo) + +- sacar el promedio de cada muestra + +- ¿qué tanto varían los promedios? + + +??? + +registrar en: +https://docs.google.com/spreadsheets/d/1YrMd_ds5zHgQWrdjYcX5Diwv7bQHDzf5r2A0oYWriyA/edit#gid=0 + +evtl: llamar desde R y plotear los promedios + +--- +class: roja middle center + +# ¿Para qué nos sirve la desviación estándar de los promedios de las disintas muestras? + + +--- + +.pull-left-narrow[ +(curva normal) +] + +.pull-right-wide[ +- Si tengo la desviación estándar de los promedios puedo construir un .red[intervalo] de probabilidad, basado en la curva normal + +- En lenguaje de inferencia no digo que mi promedio es=10, sino un rango (intervalo) y un cierto nivel de probabilidad + + +] + +--- +class: roja + +## Problema: tenemos 1 SOLA MUESTRA, y un solo promedio + +# ¿Cómo obtenemos entonces la desviación estándar del promedio? + +--- + +.pull-left-narrow[ +![](https://multivariada.netlify.app/slides/images/inference1.png) + +] + +.pull-right-wide[ +.content-box-purple[ + +## Desviación estándar y error estándar] +- más que el promedio de la variable en nuestra **muestra**, en inferencia nos interesa estimar en qué medida ese promedio da cuenta del promedio de la **población** + +{{content}} + +] + +-- + +- contamos con **una muestra**, pero sabemos que otras muestras podrían haber sido extraídas, probablemente con distintos resultados. + +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_1.png) +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_2.png) +--- +# Distribución muestral del promedio + +![](https://multivariada.netlify.app/slides/images/se_3.png) + + + + +--- +# Teorema del límite central + +- la distribución de los promedios de distintas muestras - o .red[distribución muestral del promedio] - se aproxima a una distribución normal + +-- + +- En muestras mayores a 30 la desviación estándar de los promedios (error estándar del promedio) equivale a: +$$\sigma_{\bar{X}}=SE(error estándar)=\frac{s}{\sqrt{N}}$$ + - $s$ = desviación estándar de la muestra + - $N$ = tamaño de la muestra + +--- + +-> ver demostración [aquí](https://docs.google.com/spreadsheets/d/1YrMd_ds5zHgQWrdjYcX5Diwv7bQHDzf5r2A0oYWriyA/edit#gid=0) + +--- +class: inverse middle right + +# ¿Para qué nos sirve el .red[error estándar] o .red[SE] del promedio? + +##(... y de otros estadísticos, como la correlación) + +--- + +Principalmente 2 usos complementarios: + +- construcción de intevalos de confianza + +- test de hipótesis + +--- +# Intervalos y probabilidad + +.pull-left-narrow[ +.medium[ + +- Nuestro promedio muestral $\bar{x}$ posee una distribución normal con una desviación estandar = SE (error estándar) + +- Esto nos permite estimar probabilidades basados en los valores de la curva normal + +] +] +.pull-right-wide[ +.center[![:scale 95%](https://multivariada.netlify.app/slides/images/normal.png)]] + +--- +# Intervalos de confianza + +.pull-left-wide[ +.center[![:scale 85%](https://multivariada.netlify.app/slides/images/normal.png)]] + + +.pull-right-narrow[ +.medium[ + +- Por ejemplo, un intervalo de confianza de $\bar{x}\pm1.96SE$ abarca aproximadamente el 95% de los valores probables + +- Por lo tanto, puedo decir que el promedio se encuentra en un rango de valores con un .red[nivel de confianza] de 95% + + +] +] + +--- +## Ejemplo: intervalo de confianza para un promedio +---- +.pull-left[ +.content-box-green[ +- Tenemos: + + - promedio de ingresos: 800.000 + + - desviación estándar: 100.000 + + - N muestral: 1.600 +]] + +.pull-right[ + +\begin{align*} +SE&=\frac{s}{\sqrt{N}} \\\\ +&=\frac{100.000}{\sqrt{1.600}} \\\\ +&=\frac{100.000}{40}=2.500 +\end{align*} +] + +--- + +- Entonces: + + - error estándar es $SE=2.500$, + - promedio $\bar{x}=800.000$ + +- Con estos valores podemos construir un rango de probabilidad basado en la curva normal, sumando y restando errores estándar + +- Por ejemplo, $\bar{x}{\color{red}\pm}1.96SE$ abarcan aproximadamente el 95% de los valores alrededor del promedio + +- Por lo tanto, podemos decir que el promedio de ingresos se encuentra entre 797.500 y 802.500 .red[con un 95% de confianza] + +--- + +# ¿Confianza en qué? + +- bajo esta lógica, la confianza está en que si tuvieramos la posibilidad de extraer múltiples muestras, el 95% de las veces nuestro intervalo contendría el promedio + +- o que existe un 5% de probabilidad de error, es decir, que el promedio de la muestra no equivalga al de la población + +- o que las chances de error son 1 de 20 + +--- +class: roja + +# Un .yellow[intervalo de confianza] (IC o CI) es la mejor estimación del rango de un estadístico en la población (parámetro poblacional) con una muestra aleatoria + +--- + +![](img/intervalos.png) + +--- +class: inverse middle + + +## ¿De qué depende el .red[tamaño] del intervalo de confianza? + +## ¿Cómo se establece el .red[nivel de confianza] del intervalo? + +--- +# ¿De qué depende el tamaño del intervalo de confianza? + +- recordemos que el intervalo de confianza se elabora sumando y restando errores estándar al promedio + +$$\sigma_{\bar{X}}=SE(error estándar)=\frac{s}{\sqrt{N}}$$ +-- + +- dado que el tamaño muestral (N) se encuentra en el denominador, a mayor N, menor será el intervalo de confianza + + +--- + + +ver [simulación de intervalo de confianza para promedio muestral](https://shiny.rit.albany.edu/stat/confidence/) + +--- +# Intervalos, confianza y tamaño muestral + +Dado que el intervalo de confianza se reduce al aumentar N, este es uno de los elementos centrales al definir el tamaño muestral: + + - ¿Qué nivel de confianza estoy dispuesto a aceptar como legítimo? + + - + + + + +--- +class: inverse right bottom + +# Inferencia e hipótesis + +--- +class: roja middle center + +# ¿Qué es una hipótesis? + + +--- + +menti o mano alzada + +- qué es una hipótesis + +- hipótesis + +--- + +# Hipótesis + +- La investigación basada en inferencia estadística utiliza .red[hipótesis] + +- En el caso de la sociología, las hipótesis nos permiten conectar la teoría con la investigación empírica + +- Las hipótesis de investigación no son exclusivas de la investigación con datos cuantitativos, pero posee características específicas distintivas de otros tipos de investigación + +--- +# Hipótesis + +- Una hipótesis es una aseveración o una predicción sobre una situación que ocurre en la población en estudio + +- Ej: + + - el número de migrantes venezolanos ha aumentado en el tiempo + - los años de educación promedio en Chile son 14 + - los estudiantes de colegios particulares obtienen mejor puntaje PSU que estudiantes de colegios municipales + +--- +## Tipos de hipótesis en relación al número de conceptos/variables + +.pull-left[ +- Por lo general, las hipótesis de investigación establecen una relación entre .red[dos o más variables] + + - Ej: los migrantes obtienen salarios más bajos que el resto de la población +] + +.pull-right[ +- Tambien existen hipótesis que consideran solamente .red[una variable] + + - Ej: El promedio de años de escolaridad en Chile es de 10 +] + +??? + +La investigacion empírica en sociología en general considera hipótesis que relacionan dos o más variables, sin embargo vamos a considerar inicialmente hipótesis respecto de una variable con fines pedagógicos + +--- +## La hipótesis nula ( $H_0$) + +- Es una hipótesis contraria a nuestra hipótesis de investigación + +- En general, las hipótesis señalan que algo existe en la población, mientras la hipótesis nula establece que eso no existe (o que su existencia es .red[_cero_]) Ej: + - el promedio de años de escolaridad es distinto de 10 (para una variable) + - los migrantes no tienen ingresos más bajos que el resto de la población (para dos variables) + +--- +## ¿Por qué es importante la hipótesis nula? + +- la hipotesis nula nos va a permitir realizar un contraste con la información empírica (nuestros datos), y asociar una probabilidad de error + +- por lo tanto, la lógica de prueba de hipótesis es de falseamiento: no decimos que algo existe, sino la probabilidad de que algo no exista + +--- +## Hipotesis nula y tipos de error +.center[ +![:scale 100%](img/errortypes.png) +] + +--- +## Hipotesis nula y tipos de error + +![](img/errors.jpg) + + + + +--- +class: middle + +.pull-left-narrow[ +# Inferencia y prueba de hipótesis +] + +.pull-right-wide[ +- La hipótesis nula (o $H_0$ ) se refiere a que las diferencias (de promedios) son = 0 + + +- Por eso, queremos rechazar $H_0$ para poder tener evidencia a favor de nuestra hipótesis + +- Para eso tenemos que establecer un nivel de probabilidad aceptable (al menos p<0.05) +] + +--- +## Prueba de hipótesis + +Contrastamos la *hipótesis nula* (no hay diferencias de promedios entre grupos): + +$$H_{0}: \bar{X}_a - \bar{X}_b= 0$$ + +En relación a la siguiente hipótesis alternativa: + +$$H_{a}: \bar{X}_a - \bar{X}_b \neq 0$$ + + + + +--- +# Lectura: + + +[Moore cap. 6 - Introducción a la inferencia estadística](https://correlacional.netlify.app/files/textos/Moore.pdf) + +--- + + + + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
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    +bit.ly/correlacional-asistencia +] + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] + + diff --git a/slides/07-inferencia.html b/slides/07-inferencia.html new file mode 100644 index 00000000..28a793bf --- /dev/null +++ b/slides/07-inferencia.html @@ -0,0 +1,852 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/07-inferencia_files/figure-html/unnamed-chunk-16-1.png b/slides/07-inferencia_files/figure-html/unnamed-chunk-16-1.png new file mode 100644 index 00000000..bf00e5a8 Binary files /dev/null and b/slides/07-inferencia_files/figure-html/unnamed-chunk-16-1.png differ diff --git a/slides/07-inferencia_files/figure-html/unnamed-chunk-16-2.png b/slides/07-inferencia_files/figure-html/unnamed-chunk-16-2.png new file mode 100644 index 00000000..c3a5c212 Binary files /dev/null and b/slides/07-inferencia_files/figure-html/unnamed-chunk-16-2.png differ diff --git a/slides/07-slides.Rmd b/slides/07-slides.Rmd deleted file mode 100644 index 660fd097..00000000 --- a/slides/07-slides.Rmd +++ /dev/null @@ -1,1587 +0,0 @@ ---- -title: "Randomization and matching" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(infer) -library(broom) -library(ggdag) -library(MatchIt) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Randomization
    and matching - -.class-info[ - -**Session 7** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-4.medium.sp-after-half[The magic of randomization] - --- - -.box-5.medium.sp-after-half[How to analyze RCTs] - --- - -.box-6.medium.sp-after-half[The "gold" standard] - --- - -.box-1.medium.sp-after-half[Adjustment with matching] - ---- - -name: magic-randomization -class: center middle section-title section-title-4 animated fadeIn - -# The magic
    of randomization - ---- - -layout: true -class: title title-4 - ---- - -# Why randomize? - -.box-4.large[Fundamental problem
    of causal inference] - -$$ -\delta_i = Y_i^1 - Y_i^0 \quad \text{in real life is} \quad \delta_i = Y_i^1 - ??? -$$ - -.box-inv-4[Individual-level effects are impossible to observe!] - -.box-inv-4[There are no individual counterfactuals!] - ---- - -# Why randomize? - -.medium[ -$$ -\delta = (\bar{Y}\ |\ P = 1) - (\bar{Y}\ |\ P = 0) -$$ -] - --- - -.box-inv-4.medium[Comparing average outcomes only works
    if groups that received/didn't receive
    treatment look the same] - ---- - -# Why randomize? - -.box-inv-4[With big enough samples, the magic of randomization
    helps make comparison groups comparable] - -.center[ -
    - Figure 4.1 from WB book -
    -] - ---- - -# RCTs and DAGs - -$$ -E[\text{Malaria infection rate}\ |\ do(\text{Mosquito net})] -$$ - --- - -.pull-left[ -.box-4.smaller[Observational DAG] -```{r observational-dag, echo=FALSE, fig.width=4, fig.height=2.4, out.width="90%"} -dagify( - Y ~ X + Z, - X ~ Z, - coords = list(x = c(X = 1, Y = 2, Z = 1.5), - y = c(X = 1, Y = 1, Z = 2)), - labels = c(X = "Mosquito nets", Y = "Malaria infection rate", Z = "Income") -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 11) + - geom_dag_label_repel(aes(label = label), - nudge_x = 0, nudge_y = 0.25, - color = "black", - fontface = "bold", lineheight = 0.95, seed = 1234) + - theme_dag() -``` -] - --- - -.pull-right[ -.box-4.smaller[Experimental DAG] -```{r experimental-dag, echo=FALSE, fig.width=4, fig.height=2.4, out.width="90%"} -dagify( - Y ~ X + Z, - coords = list(x = c(X = 1, Y = 2, Z = 1.5), - y = c(X = 1, Y = 1, Z = 2)), - labels = c(X = "Mosquito nets", Y = "Malaria infection rate", Z = "Income") -) %>% - ggplot(aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges() + - geom_dag_point(color = "black", size = 11) + - geom_dag_label_repel(aes(label = label), - nudge_x = 0, nudge_y = 0.25, - color = "black", - fontface = "bold", lineheight = 0.95, seed = 1234) + - theme_dag() -``` -] - --- - -.box-inv-4.small[When you *do*() X, delete all arrows into X; **confounders don't influence treatment!**] - ---- - -# How to randomize? - -.center[ -
    - Figure 4.4 from WB book -
    -] - ---- - -# Random assignment - -.box-inv-4.medium[Coins] - --- - -.box-inv-4.medium[Dice] - --- - -.box-inv-4.medium[Unbiased lottery] - --- - -.box-inv-4.medium[Random numbers + threshold] - --- - -.box-inv-4.medium[Atmospheric noise] - -.box-4.tiny[random.org] - ---- - -# How big of a sample? - -```{r fake-income-program, include=FALSE} -set.seed(1234) -fake_income_t <- tibble(Person = 1:200, - Group = "Treatment", - Before = rnorm(200, mean = 200, sd = 70), - After = rnorm(200, mean = 250, sd = 70)) - -fake_income_c <- tibble(Person = 201:400, - Group = "Control", - Before = rnorm(200, mean = 200, sd = 70), - After = rnorm(200, mean = 220, sd = 70)) - -fake_income <- bind_rows(fake_income_t, fake_income_c) %>% - mutate(Difference = After - Before) %>% - sample_frac(1) - -fake_income_small <- fake_income %>% - group_by(Group) %>% - sample_n(5) %>% - ungroup() - -diff_small <- fake_income_small %>% - specify(Difference ~ Group) %>% - calculate("diff in means", order = c("Treatment", "Control")) - -boot_small <- fake_income_small %>% - specify(Difference ~ Group) %>% - hypothesize(null = "independence") %>% - generate(reps = 1000, type = "permute") %>% - calculate("diff in means", order = c("Treatment", "Control")) - -p_small <- boot_small %>% - get_p_value(obs_stat = diff_small$stat, direction = "both") %>% - mutate(p_value_clean = scales::pvalue(p_value)) - -diff_big <- fake_income %>% - specify(Difference ~ Group) %>% - calculate("diff in means", order = c("Treatment", "Control")) - -boot_big <- fake_income %>% - specify(Difference ~ Group) %>% - hypothesize(null = "independence") %>% - generate(reps = 1000, type = "permute") %>% - calculate("diff in means", order = c("Treatment", "Control")) - -p_big <- boot_big %>% - get_p_value(obs_stat = diff_big$stat, direction = "both") %>% - mutate(p_value_clean = scales::pvalue(p_value)) -``` - - -.box-inv-4[A training program causes incomes to rise by $40] - -.center.small[ -```{r fake-income-example, echo=FALSE} -fake_income %>% - head(6) %>% - mutate(across(where(is.numeric), ~round(., 2))) %>% - knitr::kable(align = "llccc") -``` -] - ---- - -# Power - -.pull-left[ -.box-4.small[Enroll 10 participants] - -```{r power-small, echo=FALSE, fig.width=6, fig.height=4.5, out.width="100%"} -boot_small %>% - visualize() + - geom_vline(xintercept = diff_big$stat, color = "#FF4136", size = 1) + - labs(x = "Average treatment − Average control", - y = "Count", - title = "Simulated world with no difference", - subtitle = paste0("N = 10; p = ", p_small$p_value_clean)) + - theme_light(base_size = 13, base_family = "Fira Sans Condensed") -``` - -] - --- - -.pull-right[ -.box-4.small[Enroll 200 participants] - -```{r power-big, echo=FALSE, fig.width=6, fig.height=4.5, out.width="100%"} -boot_big %>% - visualize() + - geom_vline(xintercept = diff_big$stat, color = "#FF4136", size = 1) + - labs(x = "Average treatment − Average control", - y = "Count", - title = "Simulated world with no difference", - subtitle = paste0("N = 200; p = ", p_big$p_value_clean)) + - theme_light(base_size = 13, base_family = "Fira Sans Condensed") -``` - -] - ---- - -# What's the right sample size? - -.box-inv-4[Use a statistical power calculator to
    make sure you can potentially detect an effect] - -.center[ -
    - Google power calculator -
    -] - ---- - -layout: false -name: rct-how -class: center middle section-title section-title-5 animated fadeIn - -# How to analyze RCTs - ---- - -layout: true -class: title title-5 - ---- - -# How to analyze RCTs - -.box-inv-5.sp-after[Surprisingly easy, statistically!] - --- - -.box-5[Step 1: Check that key demographics
    and other confounders are balanced] - --- - -.box-5[Step 2: Find difference in average outcome
    in treatment and control groups] - ---- - -# Example RCT - -```{r imaginary-program, echo=FALSE} -set.seed(123) -fake_program_t <- tibble(person = 1:400, - treatment = "Treatment", - age = round(rnorm(400, mean = 35, sd = 10), 0), - sex = sample(c("Male", "Female"), 400, replace = TRUE), - income_after = rnorm(400, mean = 250, sd = 70)) - -fake_program_c <- tibble(person = 401:800, - treatment = "Control", - age = round(rnorm(400, mean = 35, sd = 10), 0), - sex = sample(c("Male", "Female"), 400, replace = TRUE), - income_after = rnorm(400, mean = 200, sd = 70)) - -imaginary_program <- bind_rows(fake_program_t, fake_program_c) %>% - sample_frac(1) %>% - mutate(male_num = ifelse(sex == "Male", 1, 0)) -``` - -.small-code[ -```{r show-imaginary-program} -imaginary_program -``` -] - ---- - -# 1. Check balance - -```{r balance-table} -imaginary_program %>% - group_by(treatment) %>% - summarize(avg_age = mean(age), - prop_male = mean(sex == "Male")) -``` - ---- - -# 1. Check balance - -.left-code[ -```{r balance-age, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 4.2), out.width="100%"} -ggplot(imaginary_program, - aes(x = treatment, y = age, - color = treatment)) + - stat_summary(geom = "pointrange", - fun.data = "mean_se", - fun.args = list(mult=1.96)) + - guides(color = FALSE) + - labs(x = NULL, y = "Age") -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("balance-age", "png")`) -] - ---- - -# 1. Check balance - -.left-code[ -```{r balance-sex, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 4.2), out.width="100%"} -ggplot(imaginary_program, - aes(x = treatment, y = male_num, - color = treatment)) + - stat_summary(geom = "pointrange", - fun.data = "mean_se", - fun.args = list(mult=1.96)) + - guides(color = FALSE) + - labs(x = NULL, y = "Proportion male") -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("balance-sex", "png")`) -] - ---- - -# 2. Calculate difference - - -.left-code[ -.box-inv-5.small[Group means] - -```{r program-group-means} -imaginary_program %>% - group_by(treatment) %>% - summarize(avg_outcome = mean(income_after)) - -251 - 205 -``` -] - --- - -.right-code[ -.box-inv-5.small[Regression] - -```{r program-regression-fake, eval=FALSE} -rct_model <- lm(income_after ~ treatment, - data = imaginary_program) -tidy(rct_model) -``` - -```{r program-regression-real, echo=FALSE} -rct_model <- lm(income_after ~ treatment, - data = imaginary_program) -tidy(rct_model) %>% select(term, estimate, std.error) -``` -] - ---- - -# 2a. Show difference - -.left-code[ -```{r rct-diff, tidy=FALSE, message=FALSE, fig.show="hide", fig.dim=c(4.8, 4.2), out.width="100%"} -ggplot(imaginary_program, - aes(x = treatment, - y = income_after, - color = treatment)) + - stat_summary(geom = "pointrange", - fun.data = "mean_se", - fun.args = list(mult=1.96)) + - guides(color = FALSE) + - labs(x = NULL, y = "Income") -``` -] - -.right-plot[ -![](`r knitr::fig_chunk("rct-diff", "png")`) -] - ---- - -# Should you control for stuff? - --- - -.box-inv-5.large[No!] - --- - -.box-inv-5[All arrows into the treatment node are removed;
    there's theoretically no confounding!] - ---- - -layout: false -name: gold-standard -class: center middle section-title section-title-6 animated fadeIn - -# The "gold" standard - ---- - -layout: true -class: title title-6 - ---- - -# Types of research - -.box-inv-6.medium.sp-after[Experimental studies vs.
    observational studies] - -.box-inv-6.medium[Which is better?] - ---- - -layout: false - -.center[ -
    - NYT wellness program report -
    -] - -??? - -https://www.nytimes.com/2018/08/06/upshot/employer-wellness-programs-randomized-trials.html - ---- - -class: bg-full -background-image: url("img/07/gold-standard.png") - ---- - -class: bg-full -background-image: url("img/07/jpal-nobel.png") - -??? - -https://twitter.com/MIT/status/1183752282988564480 - ---- - -  - -.box-6.large.sp-after[RCTs are great!] - --- - -.box-6.large[Super impractical to do
    all the time though!] - ---- - -layout: true -class: title title-6 - ---- - -# "Gold standard" - -.box-inv-6.medium.sp-after["Gold standard" implies that all
    causal inferences will be valid it
    you do the experiment right] - --- - -.box-6[We don't care if studies are experimental or not] - --- - -.box-6[We care if our causal inferences are valid] - --- - -.box-6[RCTs are a helpful baseline/rubric for other methods] - ---- - -# Moving to Opportunity - -.center[ -
    - HUD HQ in DC -
    -] - -??? - -**MTO** - main question = does your neighborhood matter? - -Subtext = kids who grow up in poor neighborhood do worse - lots of theories about that. Problems reside in the family vs. something inherent in the neighborhood / social capital or other benefits inherent in the community (be in the network of people who know where the jobs for people with low education are) - -Alternative explanations: - -- Poor parents don't do well in the labor market, so they live in cheap neighborhoods, where they're surrounded by the same type of people -- Racism and discrimination - -Randomly assign people to where they live - ideally from birth or even pre-birth - but families that we can possibly randomly assign already have kids (required for receiving public housing assistance) - -So they randomly assign families in public housing who are willing to move and accept risk of having that move controlled - no other way to really do this - you'd have to pay middle-class and higher people a ton of money to get them to move - -Then randomly assign them to (1) stay, (2) move to anywhere that would take voucher, (3) anywhere with less than 10% poverty rate + get relocation counseling - -People were hoping to get option 2, since people already weren't choosing 3 - it's uncomfortable to move to a neighborhood where you don't fit in - - -https://commons.wikimedia.org/wiki/File:Housing_and_Urban_Development_headquarters.jpg - ---- - -# RCTs and validity - -.box-inv-6.medium[Randomization fixes a ton of
    internal validity issues] - --- - -.pull-left[ -.box-6[**Selection**
    Treatment and control
    groups are comparable;
    people don't self-select] -] - --- - -.pull-right[ -.box-6[**Trends**
    Maturation, secular
    trends, seasonality,
    regression to the mean
    all generally average out] -] - ---- - -# RCTs and validity - --- - -.box-inv-6.medium[RCTs don't fix attrition!] - -.box-6[Worst threat to internal validity for RCTs] - --- - -.box-inv-6.medium.sp-before[If attrition is correlated
    with treatment, that's bad] - --- - -.box-6[People might drop out because of the treatment,
    or because they got/didn't get into the control group] - -??? - -You don't have data on them. NA values. Even if people don't comply (like move to a private school), you can still get data on them, so that's okay. People might drop out randomly, and that would be fine. But if attrition is correlated with the treatment, then it's bad. People might drop because of the treatment, or because they didn't get the control group. Impossible to sign the bias—could be tons of different reasons. - ---- - -# Addressing attrition - --- - -.box-inv-6.less-medium[Recruit as effectively as possible] - -.box-6.sp-after[You don't just want weird/WEIRD participants] - --- - -.box-inv-6.less-medium[Get people on board] - -.box-6.sp-after[Get participants invested in the experiment] - --- - -.box-inv-6.less-medium[Collect as much baseline information as possible] - -.box-6[Check for randomization of attrition] - -??? - -- Recruit as effectively as possible (so you don't get volunteers that routinely sign up for randomized experiments). Use money for recruitment - -- Get people on board. Treatment might be less/more enjoyable than the control group, so people will feel lucky or unlucky to be in the treatment group - explain why the experiment itself is important. Make them invested in getting the experiment to work. Science! Why you want the right answer beyond whether or not the treatment works - -- Collect as much baseline information as possible before assigning to treatment and control groups - doesn't help reduce attrition like getting people on board, but it lets us see if attrition is random with respect to preexisting characteristics - checks for randomization failures. Don't rerandomize. Randomize and then suck it up. - - ---- - -# RCTs and validity - -.box-inv-6.less-medium[Randomization failures] - -.box-6[Check baseline pre-data] - --- - -.box-inv-6.less-medium[Noncompliance] - -.box-6[Some people assigned to treatment won't take it;
    some people assigned to control will take it] - -.box-6[Intent-to-treat (ITT) vs. Treatment-on-the-treated (TTE)] - -??? - -ITT is probably the most policy-related measure - if there's a low compliance rate but a good ITT effect, you can try to make the program nicer, better - ---- - -# Other limitations - -.box-inv-6.medium.sp-after[RCTs don't magically fix construct validity
    or statistical conclusion validity] - --- - -.box-inv-6.medium.sp-after[RCTs **definitely** don't
    magically fix external validity] - -??? - -MTO varied income, not race, since it's illegal to tell people they can only move to a white neighborhood. So they used income instead of race. Keys under the light issue, since the original issue was about race - -Scalability issue with STAR. It wasn't hard to hire 40 more teachers in TN. California couldn't find enough teachers, so they emergency certified "a bunch of morons," which messed up the program effect - ---- - -layout: false -class: bg-full -background-image: url("img/07/vox-nobel.png") - -??? - -https://www.vox.com/future-perfect/2019/10/14/20913928/nobel-prize-economics-duflo-banerjee-kremer - ---- - -layout: true -class: title title-6 - ---- - -# When to randomly assign - --- - -.box-inv-6[Demand for treatment exceeds supply] - --- - -.box-inv-6[Treatment will be phased in over time] - --- - -.box-inv-6[Treatment is in equipoise (genuine uncertainty)] - --- - -.box-inv-6[Local culture open to randomization] - --- - -.box-inv-6[When you're a nondemocratic monopolist] - --- - -.box-inv-6[When people won't know (and it's ethical!)] - --- - -.box-inv-6[When lotteries are going to happen anyway] - -??? - -- When demand for treatment exceeds supply or treatment must be phased in over time (instead of doing the closest place first, etc.) -- When people don't know what they want to do = equipoise (medical trials have to be in equipoise - unethical to use a treatment that's clearly beneficial) -- When the local culture is favorable to random assignment - prime people to be more comfortable with it -- When you are a nondemocratic monopoly provider - if you're the only one with the treatment, you decide who gets it - like Google and Facebook and A/B testing -- When people won't know (as long as it's ethical) - resume name experiments, e-mails to politicians -- When lotteries are going to happen anyway - - ---- - -# When to not randomly assign - --- - -.box-inv-6[When you need immediate results] - --- - -.box-inv-6[When it's unethical or illegal] - --- - -.box-inv-6[When it's something that happened in the past] - --- - -.box-inv-6[When it involves universal ongoing phenomena] - - -??? - -Past: effects of city segregation or political regime type - -Universal phenomena: climate change, social norms - ---- - -layout: false -name: matching -class: center middle section-title section-title-1 animated fadeIn - -# Adjustment
    with matching - ---- - -.center[ -
    - Matching table from Mastering 'Metrics -
    -] - ---- - -class: title title-1 - -# Why match? - --- - -.box-inv-1.medium[Reduce model dependence] - -.box-1.sp-after[Imbalance → model dependence → researcher discretion → bias] - --- - -.box-inv-1.medium.sp-after[Compare apples to apples] - --- - -.box-inv-1.medium[It's a way to adjust for backdoors!] - ---- - -```{r simulated-matching-data, echo=FALSE} -set.seed(1234) -matched_stuff <- tibble(education = rnorm(50, 20, 3)) %>% - mutate(outcome = 15 + education * rnorm(n(), -0.2, 0.05)) %>% - mutate(treatment = as.logical(rbinom(n(), 1, 0.5)), - type = "Matched") - -unmatched_stuff <- tibble(education = rnorm(20, 12, 2), - outcome = rnorm(20, 5, 2), - treatment = FALSE, - type = "Unmatched") - -more_unmatched_stuff <- tibble(education = rnorm(5, 28, 1), - outcome = rnorm(5, 5, 0.5), - treatment = FALSE, - type = "Unmatched") - -all_data <- bind_rows(matched_stuff, unmatched_stuff, more_unmatched_stuff) %>% - mutate(treatment = factor(treatment, labels = c("Untreated", "Treated"))) - -matched_stuff_real <- filter(all_data, type == "Matched") - -model_wrong <- lm(outcome ~ education + treatment, data = all_data) %>% - tidy() - -model_wrong1 <- lm(outcome ~ education + treatment + I(education^2), data = all_data) - -model_wrong1_fitted <- expand_grid(education = seq(8, 30, 0.1), - treatment = c("Treated", "Untreated")) %>% - augment(model_wrong1, newdata = .) - -model_better <- lm(outcome ~ education + treatment, data = matched_stuff_real) %>% - tidy() - -model_better1 <- lm(outcome ~ education + treatment + I(education^2), data = matched_stuff_real) - -model_better1_fitted <- expand_grid(education = seq(8, 30, 0.1), - treatment = c("Treated", "Untreated")) %>% - augment(model_better1, newdata = .) -``` - -.smaller[ -$$ -\color{white}{\beta_0 \text{E}^2} -$$ -] - -```{r matching-general, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(size = 5, pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.smaller[ -$$ -\color{white}{\beta_0 \text{E}^2} \text{Outcome} = \beta_0 + \beta_1 \text{Education} + \beta_2 \text{Treatment} \color{white}{\beta_0 \text{E}^2} -$$ -] - -```{r matching-dependency1, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment, color = treatment)) + - geom_point(size = 5, pch = 21, color = "white") + - geom_abline(slope = filter(model_wrong, term == "education")$estimate, - intercept = filter(model_wrong, term == "(Intercept)")$estimate, - color = "#0074D9", size = 0.75) + - geom_abline(slope = filter(model_wrong, term == "education")$estimate, - intercept = filter(model_wrong, term == "(Intercept)")$estimate + - filter(model_wrong, term == "treatmentTreated")$estimate, - color = "#FF4136", size = 0.75) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.smaller[ -$$ -\text{Outcome} = \beta_0 + \beta_1 \text{Education} + \beta_2 \text{Education}^2 + \beta_3 \text{Treatment} -$$ -] - -```{r dependency2, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment, color = treatment)) + - geom_point(size = 5, pch = 21, color = "white") + - geom_abline(slope = filter(model_wrong, term == "education")$estimate, - intercept = filter(model_wrong, term == "(Intercept)")$estimate, - color = "#0074D9", size = 0.75) + - geom_abline(slope = filter(model_wrong, term == "education")$estimate, - intercept = filter(model_wrong, term == "(Intercept)")$estimate + - filter(model_wrong, term == "treatmentTreated")$estimate, - color = "#FF4136", size = 0.75) + - geom_line(data = model_wrong1_fitted, - aes(x = education, y = .fitted, color = treatment), - size = 0.75) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_color_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.smaller[ -$$ -\color{white}{\beta_0 \text{E}^2} -$$ -] - -```{r reduced, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(aes(alpha = type), size = 5, pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_alpha_manual(values = c(1, 0.4), name = NULL) + - guides(alpha = FALSE, color = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.smaller[ -$$ -\color{white}{\beta_0 \text{E}^2} \text{Outcome} = \beta_0 + \beta_1 \text{Education} + \beta_2 \text{Treatment} \color{white}{\beta_0 \text{E}^2} -$$ -] - -```{r reduced-dependency1, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(aes(alpha = type), size = 5, pch = 21, color = "white") + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate, - color = "#0074D9", size = 0.75) + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate + - filter(model_better, term == "treatmentTreated")$estimate, - color = "#FF4136", size = 0.75) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_alpha_manual(values = c(1, 0.4), guide = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.smaller[ -$$ -\text{Outcome} = \beta_0 + \beta_1 \text{Education} + \beta_2 \text{Education}^2 + \beta_3 \text{Treatment} -$$ -] - -```{r reduced-dependency2, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(aes(alpha = type), size = 5, pch = 21, color = "white") + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate, - color = "#0074D9", size = 0.75) + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate + - filter(model_better, term == "treatmentTreated")$estimate, - color = "#FF4136", size = 0.75) + - geom_line(data = model_better1_fitted, - aes(x = education, y = .fitted, color = treatment), - size = 0.75) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_color_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - scale_alpha_manual(values = c(1, 0.4), guide = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.box-1[How do we know that we can remove these points?] - -```{r reduced-again, echo=FALSE, fig.width=12, fig.height=5.75, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(aes(alpha = type), size = 5, pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_alpha_manual(values = c(1, 0.4), name = NULL) + - guides(alpha = FALSE, color = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-1 - -# General process for matching - --- - -.box-inv-1.medium[Step 1. Preprocessing] - -.box-1[Do something to guess or model the assignment to treatment] - -.box-1.sp-after[Use what you know about the DAG to inform this guessing!] - --- - -.box-inv-1.medium[Step 2. Estimation] - -.box-1[Use the new trimmed/preprocessed data to build a model,
    calculate difference in means, etc.] - ---- - -```{r reduced-dependency-taller, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(all_data, aes(x = education, y = outcome, fill = treatment)) + - geom_point(aes(alpha = type), size = 5, pch = 21, color = "white") + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate, - color = "#0074D9", size = 0.75) + - geom_abline(slope = filter(model_better, term == "education")$estimate, - intercept = filter(model_better, term == "(Intercept)")$estimate + - filter(model_better, term == "treatmentTreated")$estimate, - color = "#FF4136", size = 0.75) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_alpha_manual(values = c(1, 0.4), guide = FALSE) + - labs(x = "Education", y = "Outcome") + - coord_cartesian(xlim = c(8, 30), ylim = c(0, 15)) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-1 - -# Different methods - -.box-inv-1.medium[Nearest neighbor matching (NN)] - -.box-1.small.sp-after[Mahalanobis distance / Euclidean distance] - --- - -.box-inv-1.medium.sp-after-half[~~Propensity score matching (PSM)~~] - --- - -.box-inv-1.medium.sp-after-half[Inverse probability weighting (IPW)] - --- - -.box-inv-1.small[(and lots of other methods we're not covering!)] - ---- - -class: title title-1 - -# Nearest neighbor matching - -.box-inv-1.medium.sp-after[Find untreated observations that are
    very close/similar to treated
    observations based on confounders] - --- - -.box-inv-1.medium[Lots of mathy ways to measure distance] - -.box-1[Mahalanobis and Euclidean distance are fairly common] - ---- - -class: bg-full -background-image: url("img/07/recession1.png") - -??? - -https://www.cnbc.com/2020/02/05/70percent-chance-of-recession-in-next-six-months-study-from-mit-and-state-street-finds.html - ---- - -class: bg-full -background-image: url("img/07/recession2.png") - ---- - -class: title title-1 - -# Matching and eugenics - -.box-inv-1.medium[Prasanta Chandra Mahalanobis] - -.pull-left.center[ -
    - Prasanta Chandra Mahalanobis -
    -] - -.pull-right[ -.box-1[Tried to prove brain size differences between castes; low-key eugenicist] -] - -??? - -https://en.wikipedia.org/wiki/Prasanta_Chandra_Mahalanobis#/media/File:PCMahalanobis.png - ---- - -```{r edu-age-dag, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -node_details <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "Treatment", 1, 1, - "outcome", "Outcome", 4, 1, - "age", "Age", 2, 2, - "education", "Education", 3, 2 -) - -node_labels <- node_details$label -names(node_labels) <- node_details$name - -my_dag <- dagify(outcome ~ treatment + age + education, - treatment ~ age + education, - exposure = "treatment", - outcome = "outcome", - coords = node_details, - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() # Add column for exposure/outcome/latent - -status_colors <- c(exposure = "#FF4136", outcome = "#FF851B", latent = "grey50") - -ggplot(my_dag, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 10, - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(2.5, "lines")) + - scale_color_manual(values = status_colors, na.value = "grey20") + - scale_fill_manual(values = status_colors, na.value = "grey20") + - guides(color = FALSE, fill = FALSE) + - theme_dag(base_size = 20) -``` - ---- - -```{r edu-age, echo=FALSE} -set.seed(1234) -edu_age_treated <- tibble(education = rnorm(30, 20, 3), - age = rnorm(30, 50, 8), - treatment = "Treated") - -edu_age_untreated <- tibble(education = runif(70, - min(edu_age_treated$education) - 2, - max(edu_age_treated$education) + 2), - age = runif(70, - min(edu_age_treated$age) - 5, - max(edu_age_treated$age) + 5), - treatment = "Untreated") - -edu_age <- bind_rows(edu_age_treated, edu_age_untreated) %>% - mutate(treat_bin = recode(treatment, Treated = 1, Untreated = 0)) %>% - mutate(id = 1:n()) %>% - mutate(treatment = factor(treatment, levels = c("Untreated", "Treated"))) - -matched <- matchit(treat_bin ~ education + age, data = edu_age, - method = "nearest", distance = "mahalanobis") - -matched_pairs <- tibble(trt = rownames(matched$match.matrix), - ctrl = matched$match.matrix) %>% - mutate_all(as.numeric) - -edu_age_filtered <- edu_age %>% - filter(id %in% c(matched_pairs$trt, matched_pairs$ctrl)) %>% - left_join(matched_pairs, by = c("id" = "trt")) %>% - left_join(select(edu_age, id, education_ctrl = education, age_ctrl = age), - by = c("ctrl" = "id")) - -edu_age_matched <- edu_age %>% - left_join(matched_pairs, by = c("id" = "trt")) %>% - left_join(select(edu_age, id, education_ctrl = education, age_ctrl = age), - by = c("ctrl" = "id")) %>% - filter(treatment == "Treated") -``` - -```{r edu-age-unmatched, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(edu_age, aes(x = education, y = age, fill = treatment)) + - geom_point(size = 5, pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - guides(color = FALSE) + - labs(x = "Education", y = "Age") + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -```{r edu-age-matched, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(edu_age, aes(x = education, y = age, fill = treatment)) + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.4) + - geom_point(data = edu_age_filtered, size = 5, pch = 21, color = "white") + - geom_segment(data = edu_age_matched, - aes(x = education, xend = education_ctrl, - y = age, yend = age_ctrl), - linetype = "11", color = "grey50", size = 1) + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_color_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - guides(color = FALSE) + - labs(x = "Education", y = "Age") + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -```{r edu-age-trimmed, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(edu_age, aes(x = education, y = age, fill = treatment)) + - geom_point(data = edu_age_filtered, size = 5, pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_color_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - guides(color = FALSE) + - labs(x = "Education", y = "Age") + - coord_cartesian(xlim = c(min(edu_age$education), max(edu_age$education)), - ylim = c(min(edu_age$age), max(edu_age$age))) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-1 - -# Potential problems with matching - -.box-inv-1[Nearest neighbor matching can be greedy!] - -.center[ -
    - Lost data -
    -] - --- - -.box-1[Solution: Don't throw everything away!] - ---- - -class: title title-1 - -# Propensity scores - -.box-inv-1.medium[Predict the probability of
    assignment to treatment using a model] - -.box-1.sp-after[Logistic regression, probit regression, machine learning, etc.] - --- - -.box-1.smaller[Here's logistic regression:] - -$$\operatorname{log} \frac{p_\text{Treated}}{1 - p_\text{Treated}} = \beta_0 + \beta_1 \text{Education} + \beta_2 \text{Age}$$ - ---- - -```{r logit-graph, echo=FALSE, fig.width=6, fig.height=4.2, out.width="50%"} -ggplot(mtcars, aes(x = mpg, y = am)) + - geom_point(size = 3) + - stat_smooth(method = "glm", method.args = list(family = "binomial"), se = TRUE) + - labs(x = "Miles per gallon", y = "Probability of having\nmanual transmission") + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") -``` - -.smaller[ -$$\operatorname{log} \frac{p_\text{Manual}}{1 - p_\text{Manual}} = \beta_0 + \beta_1 \text{MPG}$$ -] - -.small-code[ -```{r logit-example} -model_transmission <- glm(am ~ mpg, data = mtcars, family = binomial(link = "logit")) -``` -] - ---- - -.box-1[Log odds .tiny[(default coefficient unit of measurement; fairly uninterpretable)]] - -.box-1[Odds ratios .tiny[(eβ; centered around 1: 1.5 means 50% more likely; 0.75 means 25% less likely)]] - -.pull-left-narrow.small-code[ -```{r logit-tidied-fake, eval=FALSE} -tidy(model_transmission) - - - - - - - -tidy(model_transmission, - exponentiate = TRUE) -``` -] - -.pull-right-wide.small-code[ -```{r logit-tidied, echo=FALSE} -tidy(model_transmission) - -tidy(model_transmission, exponentiate = TRUE) -``` -] - ---- - -.box-inv-1.smaller[Plug all the values of MPG into the model and find the predicted probability of manual transmission] - -.small-code[ -```{r logit-augment-fake, eval=FALSE} -augment(model_transmission, data = mtcars, type.predict = "response") -``` -] - -.pull-left.small-code[ -```{r logit-augment-real, include=FALSE} -augment(model_transmission, data = mtcars, type.predict = "response") %>% - select(mpg, am, .fitted) -``` - -```{r logit-augment-manual, eval=FALSE} -## # A tibble: 32 x 3 -## mpg am .fitted -## -## 1 21 1 0.461 -## 2 21 1 0.461 -## 3 22.8 1 0.598 -## 4 21.4 0 0.492 -## 5 18.7 0 0.297 -## 6 18.1 0 0.260 -*## 7 14.3 0 0.0986 -*## 8 24.4 0 0.708 -## 9 22.8 0 0.598 -## 10 19.2 0 0.330 -## # … with 22 more rows -``` - -] - -.pull-right[ -  - -  - -  - -.box-1.smaller[Row 7 is highly unlikely to be manual (1)] - -.box-1.smaller[Row 8 is highly likely to be manual] -] - - ---- - -class: title title-1 - -# Propensity score matching - -.box-inv-1.medium.sp-after-half[Super popular method] - --- - -.box-inv-1.medium.sp-after-half[There are mathy reasons why it's not great
    for matching *for identification purposes*] - --- - -.box-inv-1.medium.sp-after-half[Propensity scores are fine!
    Using them for matching isn't!] - ---- - -class: bg-full -background-image: url("img/07/gary-king.png") - -??? - -https://gking.harvard.edu/files/gking/files/pan1900011_rev.pdf - ---- - -layout: true -class: title title-1 - ---- - -# Weighting - -.box-inv-1[Make some observations more important than others] - --- - -```{r weighting-table, echo=FALSE} -wts <- tribble( - ~` `, ~Young, ~Middle, ~Old, - "Population", "30%", "40%", "30%", - "Sample", "60%", "30%", "10%" -) - -wts %>% knitr::kable(align = "lccc") -``` - ---- - -# Weighting - -.box-inv-1[Make some observations more important than others] - -```{r weighting-table-with-weights, echo=FALSE} -wts %>% - add_row(` ` = "Weight", - Young = " 30 / 60 
    **0.5**", - Middle = " 40 / 30 
    **1.333**", - Old = " 30 / 10 
    **3**") %>% - knitr::kable(align = "lccc") -``` - --- - -.box-1[Multiply weights by average values
    (or us in regression) to adjust for importance] - ---- - -# Inverse probability weighting - -.box-inv-1.medium[Use propensity scores to weight
    observations by how "weird" they are] - -.box-1.small[Observations with high probability of treatment
    who don't get it (and vice versa) have higher weight] - -$$ -\frac{\text{Treatment}}{\text{Propensity}} + \frac{1 - \text{Treatment}}{1 - \text{Propensity}} -$$ - ---- - -layout: false - -.small-code[ -```{r ipw-fake, eval=FALSE} -augment(model_transmission, data = mtcars, type.predict = "response") %>% - select(mpg, am, propensity = .fitted) %>% - {{mutate(ip_weight = (am / propensity) + ((1 - am) / (1 - propensity)))}} -``` -] - -.pull-left.small-code[ -```{r ipw-augment-manual, eval=FALSE} -## # A tibble: 32 x 4 -## mpg am propensity ip_weight -## -## 1 21 1 0.461 2.17 -## 2 21 1 0.461 2.17 -## 3 22.8 1 0.598 1.67 -## 4 21.4 0 0.492 1.97 -## 5 18.7 0 0.297 1.42 -## 6 18.1 0 0.260 1.35 -*## 7 14.3 0 0.0986 1.11 -*## 8 24.4 0 0.708 3.43 -## 9 22.8 0 0.598 2.49 -## 10 19.2 0 0.330 1.49 -### … with 22 more rows -``` - -] - -.pull-right[ -  - -  - -.box-1.smaller[Row 7 is highly unlikely to be manual and isn't.
    **Boring! Low IPW.**] - -.box-1.smaller[Row 8 is highly likely to be manual, but isn't.
    **That's weird! High IPW.**] -] - - ---- - -```{r edu-age-ipw, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -logit_edu_age <- glm(treatment ~ education + age, data = edu_age, - family = binomial(link = "logit")) - -edu_age_ipw <- augment(logit_edu_age, edu_age, type.predict = "response") %>% - mutate(p_treatment = .fitted) %>% - mutate(w_ate = (treat_bin / p_treatment) + ((1 - treat_bin) / (1 - p_treatment))) - -ggplot(edu_age_ipw, aes(x = education, y = age, fill = treatment, size = w_ate)) + - geom_point(pch = 21, color = "white") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), name = NULL) + - scale_size_continuous(range = c(1, 7)) + - guides(color = FALSE, size = FALSE) + - labs(x = "Education", y = "Age") + - guides(fill = guide_legend(override.aes = list(size = 5))) + - theme_bw(base_size = 20, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: middle - -.box-1.huge[Examples!] diff --git a/slides/08-class.Rmd b/slides/08-class.Rmd deleted file mode 100644 index 00c83e0b..00000000 --- a/slides/08-class.Rmd +++ /dev/null @@ -1,562 +0,0 @@ ---- -title: "Class 8: Diff-in-diff I" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 8 - -.class-info[ - -**March 2, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[Models vs. designs] - --- - -.box-3.medium.sp-after-half[Interactions and regression] - --- - -.box-1.medium.sp-after-half[Simple diff-in-diff] - --- - -.box-6.medium.sp-after-half[Two-way fixed effects] - ---- - -class: title title-inv-8 - -# Two quick things - -.box-8.large.sp-after[Chunk names] - --- - -.box-8.large[Correct SEs for IPW] - ---- - -layout: false -name: models-designs -class: center middle section-title section-title-5 animated fadeIn - -# Models vs. designs - ---- - -layout: true -class: middle - ---- - -.center[ -
    - 2021 econ Nobel winners -
    -] - -??? - -- Card (and Krueger): NJ/PA minimum wage + the beginning of this whole credibility revolution thing -- Angrist: MHE and MM and making causal inference accessible -- Imbens: A ton of CI stuff + attempting to bridge DAG world with situation-based world - -- https://twitter.com/NobelPrize/status/1447502627114205187 - PA/NJ -- https://twitter.com/MaxCRoser/status/1447505582450151431 -- https://twitter.com/Stanford/status/1447549033539637248 - ---- - -.center[ -
    - Alan Krueger -
    -] - -??? - -Alan Krueger died by suicide in 2019 - ---- - -.center[ -
    - Nobel PA/NJ -
    -] - ---- - -layout: true -class: middle - ---- - -.box-5.large[Design-based vs.
    model-based inference] - -.box-inv-5[Special situations vs. controlling for stuff] - ---- - -.box-5.medium[How would you know when it is appropriate to use a quasi-experiment over an RCT?] - ---- - -layout: true -class: title title-5 - ---- - -# Identification strategies - -.box-inv-5.small.sp-after[The goal of *all* these methods is to isolate
    (or **identify**) the arrow between treatment → outcome] - --- - -.box-inv-5.less-medium[Model-based identification] - -.float-left.center[.box-5[DAGs] .box-5[Matching] .box-5[Inverse probability weighting]] - --- - -.box-inv-5.less-medium.sp-before[Design-based identification] - -.float-left.center[.box-5[Randomized controlled trials] .box-5[Difference-in-differences]] - -.float-left.center[.box-5[Regression discontinuity] .box-5[Instrumental variables]] - ---- - -# Model-based identification - -.box-inv-5[Use a DAG and *do*-calculus to isolate arrow] - -.pull-left[ -
    - Education earnings DAG -
    -] - -.pull-right[ -.box-5[Core assumption:
    selection on observables] - -.box-inv-5.small[Everything that needs to
    be adjusted is measurable;
    no unobserved confounding] - -.box-inv-5.small[**Big assumption!**] - -.box-inv-5.tiny[This is why lots of people don't like DAG-based adjustment] -] - ---- - -layout: false - -.center[ -
    - King Charles and Ozzy Osbourne -
    -] - ---- - -layout: true -class: title title-5 - ---- - -# Design-based identification - -.box-inv-5[Use a special situation to isolate arrow] - -.pull-left[ -.box-5[RCTs] - -.box-inv-5.small[Use randomization
    to remove confounding] - -.center[ -
    - RCT DAG -
    -] -] - --- - -.pull-right[ -.box-5[Difference-in-differences] - -.box-inv-5.small[Use before/after & treatment/control
    differences to remove confounding] - -.center[ -
    - Diff-in-diff DAG -
    -] -] - ---- - -layout: true -class: middle - ---- - -.box-5.large[Which is better or more credible?
    RCTs, quasi experiments,
    or DAG-based models?] - ---- - -.center[ -
    - The (wrong!) causality continuum -
    -] - ---- - -.box-5.huge[There's no hierarchy!] - ---- - -layout: false -name: interactions -class: center middle section-title section-title-3 animated fadeIn - -# Interactions and regression - ---- - -class: middle - -.box-3.large[Can we talk more about interaction terms and how to interpret them?] - -.box-3[Are interaction effects in regression always more accurate of a difference than running a "regular" regression without them?] - ---- - -class: middle - -.box-3.large[Regression is just fancy averages!] - ---- - -layout: false -name: diff-in-diff -class: center middle section-title section-title-1 animated fadeIn - -# Simple diff-in-diff - ---- - -.center[ -
    - Lambeth and Southwark-Vauxhall -
    -] - ---- - -class: middle - -.pull-left[ -.box-1.medium[**1849**] - -.box-1[Cholera deaths per 100,000] - -.box-inv-1[Southwark & Vauxhall: **1,349**] - -.box-inv-1[Lambeth: **847**] - -] - -.pull-right[ -.box-1.medium[**1854**] - -.box-1[Cholera deaths per 100,000] - -.box-inv-1[Southwark & Vauxhall: **1,466**] - -.box-inv-1[Lambeth: **193**] -] - ---- - -.center[ -
    - Bedtime math -
    -] - ---- - -.center[ -
    - Bedtime math diff-in-diff -
    -] - ---- - -layout: true -class: middle - ---- - -.box-1.medium[When doing your subtracting to get
    your differences in the matrix, is it better
    to do the vertical or horizontal subtractions?] - -.box-1.medium[Are there situations where
    one is preferable to the other?] - ---- - -.box-1.medium[Why are we learning
    two ways to do diff-in-diff?
    (2x2 matrix vs. `lm()`)] - ---- - -.box-1.large[What happened to confounding??] - -.box-1.large[Now we're only looking
    at just two "confounders"?] - -??? - -The parallel trends assumption takes care of that - ---- - -.box-1.less-medium[What group level is best for comparison? For example, if we are looking at policy change in NJ, is it best to compare with just one or two similar states? How similar do the populations need to be?] - -.box-1.medium.sp-after[Wouldn't matching be better?] - -.box-1.less-medium[Do we have to think about balance when dealing with observational data in diff in diff?] - -.box-inv-1[[Two-way fixed effects (TWFE)](https://www.andrewheiss.com/blog/2021/08/25/twfe-diagnostics/)] - -??? - -- Multiple states/groups are possible - that's TWFE -- Wouldn't matching be better? Sure, if you're doing state-level stuff. But their data was restaurant level - -- Balance: Maybe. With just two states/villages/countries/whatever, yes. With lots, the state/year fixed effects pick up those trends for you - ---- - -.box-1.large[Minimum legal drinking age] - ---- - -.center[ -
    - Mastering Metrics Figure 5.4 -
    -] - ---- - -.center[ -
    - Mastering Metrics Figure 5.5 -
    -] - ---- - -.center[ -
    - Mastering Metrics Figure 5.6 -
    -] - ---- - -.box-inv-1.medium[MLDA reduction] - -.box-1.medium[Two states: Alabama vs. Arkansas] - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - ---- - -.box-inv-1.medium[Organ donations] - -.box-1.medium[Two states: California vs. New Jersey] - -$$\begin{aligned} -\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ -&\ \beta_3\ (\text{California} \times \text{After Q22011}) -\end{aligned}$$ - ---- - -layout: false -name: twfe -class: center middle section-title section-title-6 animated fadeIn - -# Two-way fixed effects
    (TWFE) - ---- - -layout: true -class: middle - ---- - -.box-6.medium[Two states: Alabama vs. Arkansas] - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - ---- - -.box-6.medium[All states: `Treatment == 1`
    if legal for 18-20-year-olds to drink] - -$$\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}$$ - ---- - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \color{red}{\beta_3}\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - -.center[vs.] - -$$\text{Mortality}\ =\ \beta_0 + \color{red}{\beta_1}\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}$$ - ---- - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \color{red}{\beta_3}\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - -.center[vs.] - -$$\text{Mortality}\ =\ \beta_0 + \color{red}{\beta_1}\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}$$ - -.center[vs.] - -$$\begin{aligned} -\text{Mortality}\ =\ & \beta_0 + \color{red}{\beta_1}\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}\ +\\ -&\beta_4\ (\text{State} \times \text{Year}) -\end{aligned}$$ - ---- - -.center[ -
    - Mastering Metrics Table 5.2 -
    -] - ---- - -$$\begin{aligned} -\text{Donation rate}\ =&\ \beta_0 + \beta_1\ \text{California} + \beta_2\ \text{After Q22011}\ + \\ -&\ \beta_3\ (\text{California} \times \text{After Q22011}) -\end{aligned}$$ - -.center[vs.] - -$$ -\begin{aligned} -\text{Donation rate}\ =\ & \beta_0 + \color{red}{\beta_1}\ \text{Treatment}\ + \\ -& \beta_2\ \text{State} + \beta_3\ \text{Quarter} -\end{aligned} -$$ - ---- - -.box-6.large[What about this
    staggered treatment stuff?] - -.box-inv-6[[See this](https://www.andrewheiss.com/blog/2021/08/25/twfe-diagnostics/)] - -??? - -This is good for ethical reasons! - -Blog post - ---- - -layout: false -name: sensitivity -class: center middle section-title section-title-2 animated fadeIn - -# Sensitivity analysis - ---- - -layout: true -class: middle - ---- - -.box-2.medium.sp-after[How do we know when we've got
    the right confounders in our DAG?] - -.box-2.medium[How do we solve the fact that
    we have so many unknowns in our DAG?] - ---- - -.center[ -
    - OVB -
    -] - -??? - -https://owenozier.github.io/teaching/2020-2021-memes diff --git a/slides/08-inferencia.Rmd b/slides/08-inferencia.Rmd new file mode 100644 index 00000000..ba46e0a5 --- /dev/null +++ b/slides/08-inferencia.Rmd @@ -0,0 +1,923 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 8: +## .orange[Inferencia 4: Hipótesis direccionales y proporciones]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +# Lectura hoy: + +[Moore cap. 8 - Inferencia para proporciones](https://correlacional.netlify.app/files/textos/Moore.pdf) + + +--- +# Resumen clase anterior + +- **hipótesis**: aseveraciones sobre algo que ocurre en la población, usualmente asociaciones entre conceptos / variables + +- el contraste de hipótesis en estadística opera mediante el rechazo de la **hipótesis nula** (o de no diferencias), con una probabilidad de error $\alpha$ + +- para diferencia de medias se utiliza la prueba t, que básicamente es una distribución normal ajustada al tamaño muestral + +--- +## Tipos de preguntas e hipótesis (ej: con promedio(s)) +---- + +.small[ + +| **Pregunta**| **Hipotesis** | **Prueba** +|---------------------|------------------------------------------------------| +| A. ¿Existe el promedio en la población?
    | $$H_{a}: \bar{X}_1 \neq 0$$ $$H_{0}: \bar{X}_1 = 0$$ | Dos colas (no direccional) +| B. ¿Existen diferencias de promedios en la población? | $$H_{a}: \bar{X}_1 - \bar{X}_2 \neq 0$$ $$H_{0}: \bar{X}_1 - \bar{X}_2= 0$$ | Dos colas (no direccional) +| C. ¿Es un promedio (1) superior (o inferior) al otro (2)? | $$H_{a}: \bar{X}_1 - \bar{X}_2 \gt 0$$ $$H_{0}: \bar{X}_1 - \bar{X}_2 \leq 0$$ | Una cola (direccional) + - ] +--- +class: center middle + +![:scale 73%](img/one_vs_two-tailed.png) + +--- +class: middle center +![:scale 70%](img/rechazar_meme.png) + +--- +.content-box-red[ +# BUSCAMOS RECHAZAR LA HIPÓTESIS NULA] + +- Recordar que nuestra hipótesis de investigación es la .red[hipótesis alternativa] + +- La .blue[hipótesis nula] (cero) expresa que lo que nosotros buscamos no existe o ES CERO en la población + +- Si logramos rechazar $H_0$ entonces hay sustento para nuestra hipótesis de investigación +--- +# Los cinco pasos de la inferencia + +1. Establecer las hipótesis (y definir si son o no direccionales) + +2. Calcular error estándar + +3. Estimar estadístico de prueba (ej: Z o t) + +4. Establecer valor crítico de la prueba (de acuerdo a un cierto nivel de confianza) + +5. Contraste e interpretación + + ->posibilidad de calcular intervalo de confianza + +--- +# Sobre los cinco pasos de la inferencia + +- Definir estos pasos y realizar los cálculos paso a paso tiene un sentido procedimiental y pedagógico + +- Mediante el uso de software (como R) es suficiente con paso 1 (hipótesis) y paso 5 (interpretación) + +- Pero ... para hacer una buena interpretación, es importante saber qué ocurre tras bambalinas en el contraste de hipótesis + +--- +class: roja right + +.pull-left-narrow[ +.left[ +### .black[Contenidos] +] +] +.pull-right-wide[ + +## .yellow[1- Repaso hipótesis de diferencia de medias] +## 2- Hipótesis direccionales +## 3- Hipótesis para proporciones +## 4- Inferencia en correlación +] + +--- +# Datos + +Vamos a generar una submuestra de 350 casos de CASEN para ilustrar de mejor manera el sentido del test de hipótesis + +```{r} +pacman::p_load(sjmisc, haven, dplyr, stargazer, interpretCI, kableExtra) +load("casen2022_inf2.Rdata") +options(scipen=999) # para evitar notación en los ceros +set.seed(20) # para fijar el resultado aleatorio +casen_350 <- casen2022_inf %>% select(salario,sexo) %>% sample_n(350) +casen_350 <- na.omit(casen_350) +``` + +--- +# Datos + +```{r} +stargazer(as.data.frame(casen_350), type = "text") +``` +--- + +```{r} +casen_350%>% # se especifica la base de datos + dplyr::group_by(sexo=sjlabelled::as_label(sexo)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla +``` + + +--- +## Hipótesis de diferencia de medias + +### Paso 1: Establecimiento de hipótesis + +El salario promedio de las mujeres es distinto al de los hombres + +$$H_{a}: \bar{X}_1 - \bar{X}_2 \neq 0$$ +$$H_{0}: \bar{X}_1 - \bar{X}_2= 0$$ + +--- +## Hipótesis de diferencia de medias + +### Paso 2: Cálculo del error estándar (para diferencia de medias) + +$$SE=\sqrt{\frac{\sigma_{diff}}{n_a}+\frac{\sigma_{diff}}{n_b}}$$ +Donde + +$$\sigma_{diff}=\frac{\sigma^2_{a}(n_a-1)+\sigma^2_{b}(n_b-1)}{n_a+n_b-2}$$ +--- + +Cálculo de la desviación estándar de las diferencias de promedios: + +\begin{align*} +\sigma_{diff}&=\frac{468692^2(205-1)+444666^2(138-1)}{205+138-2} \\ \\ +&=\frac{44813126936256+27088715663172}{341}\\ \\ +&=210855843400 +\end{align*} + +--- + +Y enfonces el error estándar de la diferencia de medias: +\begin{align*} +SE&=\sqrt{\frac{\sigma_{diff}}{n_a}+\frac{\sigma_{diff}}{n_b}} \\ \\ +&=\sqrt{\frac{210855843400}{205}+\frac{210855843400}{138}}\\ \\ +&=50561 +\end{align*} +--- +## Hipótesis de diferencia de medias + +### Paso 3: Cálculo del estadístico de prueba (t para diferencia de medias) + +\begin{align*} +t&=\frac{(\bar{x}_1-\bar{x}_2)}{SE_{\bar{x_1}-\bar{x_2}}} \\ \\ +&=\frac{654585.4- 604420.3}{50561} \\ \\ +&=\frac{50165.1}{50561} = 0.992 +\end{align*} + +--- +## Hipótesis de diferencia de medias + +### Paso 4: Establecimiento del valor crítico de la prueba (t) + +.pull-left[ + +- para un nivel de error $\alpha=0.05$ + +- y una hipótesis de diferencia de dos colas: $\alpha/2=[0.025-0.975]$ + +- grados de libertad N-2= 343-2 = 341] + +.pull-right[ +```{r} +qt(p=.05/2, + df=341, + lower.tail=FALSE) +``` +] + +--- +class: middle center + +![:scale 90%](https://multivariada.netlify.app/slides/07-inferencia/imagen4.png) + + +--- +## Hipótesis de diferencia de medias + +### Paso 5: Contraste de hipótesis + +En este contraste se compara el valor estimado del estadístico de prueba y su valor crítico para dos colas: + +$$t_{cri}= -1.96 < t_{est}=0.992 < t_{cri}= 1.96$$ +Por lo tanto, nuestro valor estimado queda fuera de la zona de rechazo de la hipótesis nula. + +En consecuencia, con un nivel de confianza de 95% no podemos afirmar que existen diferencias salariales entre hombres y mujeres + + +--- + +.pull-left-wide[ +```{r echo=FALSE} +pacman::p_load(gginference) +ggttest(t.test( + salario ~ sexo, + data = casen_350, + var.equal=TRUE)) +``` +] + + +.pull-right-narrow[ +.medium[ +
    +
    +
    +
    +
    +
    +
    +El gráfico muestra nuestro valor estimado de t fuera de la zona de rechazo. Por lo tanto, no podemos rechazar $H_0$, las diferencias no son distintas de cero +] +] +--- +# Test de hipótesis de diferencias en R + +```{r} +t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +``` + +--- +# tabla t test con `rempsyc` + +```{r} +pacman::p_load(rempsyc,broom) +model <- t.test(salario ~ sexo, data = casen_350, var.equal=TRUE) +stats.table <- tidy(model, conf.int = TRUE) +nice_table(stats.table, broom = "t.test") + +``` +??? +https://rempsyc.remi-theriault.com/articles/t-test + + +--- +# Intervalo de confianza al 95% + +\begin{align*} +\bar{x}_1-\bar{x}_2 &\pm t_{\alpha/2}*SE_{\bar{x_1}-\bar{x_2}} \\\\ +50165 &\pm 1.96*50561 \\\\ +50165 &\pm 99099.56 \\\\ +CI[-49287.48&;149617.63] +\end{align*} + +Como vemos, nuestro intervalo de confianza **contiene el cero**, por lo que no se rechaza la hipótesis nula + + + +--- +## ¿Qué habría pasado con otro nivel de confianza/probabilidad de error? + +.medium[ +```{r} +model3 <- t.test(salario ~ sexo, data = casen_350, var.equal=TRUE, + conf.level=0.5); model3 +``` +] +--- +class: middle center +```{r echo=FALSE} +ggttest(model3) +``` + +--- + +## Y ... qué hubiera pasado con una muestra más grande? +.medium[ +```{r} +load("casen2022_inf2.Rdata") +model4 <- t.test(salario ~ sexo, data = casen2022_inf, var.equal=TRUE) +model4 +``` +] +--- + +```{r echo=FALSE} +ggttest(model4) +``` + +--- +class: inverse + +## Por lo tanto, recordar: + +- una diferencia en la muestra puede o no puede existir en la población + +- para ello, establecemos una hipótesis nula (diferencias=0), que queremos rechazar + +- ¿cómo rechazamos? con un contraste de hipótesis, donde se establece un nivel de probabilidad de error que estamos dispuestos a aceptar + +- el rechazo depende tanto del nivel de probabilidad de error como también del tamaño muestral + +--- +class: roja right + +.pull-left-narrow[ +.left[ +### .black[Contenidos] +] +] +.pull-right-wide[ + +## 1- Repaso hipótesis de diferencia de medias +## .yellow[2- Hipótesis direccionales] +## 3- Hipótesis para proporciones +## 4- Inferencia en correlación +] + + +--- +# Hipótesis direccional + +Se siguen los mismos pasos: + +1. Establecer las hipótesis (y definir si son o no direccionales) + +2. Calcular error estándar + +3. Estimar estadístico de prueba (ej: Z o t) + +4. Establecer valor crítico de la prueba (de acuerdo a un cierto nivel de confianza) + +5. Contraste e interpretación + + ->posibilidad de calcular intervalo de confianza + +--- +## Hipótesis direccional + +### Paso 1: Establecimiento de hipótesis + +El salario de los hombres (grupo 1) es mayor al de las mujeres (grupo 2) + +$$H_{a}: \bar{X}_1 \gt \bar{X}_2$$ +$$H_{0}: \bar{X}_1 \leq \bar{X}_2 0$$ + +--- +# Paso 2 (SE) y paso 3 (Estadístico de prueba) + +-> son los mismos que los de las hipótesis direccionales + +--- +## Hipótesis direccionales +### Paso 4: Establecimiento del valor crítico de la prueba (t) + +.pull-left[ + +- para un nivel de error $\alpha=0.05$ (de una cola9 + +- grados de libertad N-2= 343-2 = 341] + +.pull-right[ +```{r} +qt(p=.05, + df=341, + lower.tail = FALSE) +``` +] + + +--- +## Hipótesis direccionales + +### Paso 5: Contraste de hipótesis + +En este contraste se compara el valor estimado del estadístico de prueba y su valor crítico para una cola: + +$$t{cri}= 1.64 > t{est}=0.992$$ +Por lo tanto, nuestro valor estimado queda fuera de la zona de rechazo de la hipótesis nula. + +En consecuencia, con un nivel de confianza de 95% no podemos afirmar que el salario de los hombres es superior al de las mujeres. + +--- +# En R + +```{r} +model5 <- t.test(salario ~ sexo, data = casen_350, alternative="greater", var.equal=TRUE, conf.level = 0.95) +stats.table2 <- tidy(model5) +nice_table(stats.table2, broom = "t.test") + +``` + +--- + +```{r echo=FALSE} +ggttest(model5) +``` + +--- +class: roja right + +.pull-left-narrow[ +.left[ +### .black[Contenidos] +] +] +.pull-right-wide[ + +## 1- Repaso hipótesis de diferencia de medias +## 2- Hipótesis direccionales +## .yellow[3- Hipótesis para proporciones] +## 4- Inferencia en correlación +] + + +--- +# Test para proporciones + +- además de las inferencias con medidas de tendencia central (como promedios), es posible también realizar inferencia sobre porcentajes/proporciones, ej: + + - El 20% de l_s chilen_s asiste a la educación superior (hipótesis puntual) + + - Los hombres y las mujeres tienen un distinto porcentaje de acceso a la educación superior (hipótesis de diferencia) + - Las mujeres asisten más a la educación superior que los hombres (hipótesis direccional) + +--- +# Datos +```{r} +stargazer(as.data.frame(casen2022_inf), type = "text") +``` + +--- +.small[ +```{r} +frq(casen2022_inf$educacion) + +``` +] +--- +###Generar variable educación universitaria y menos que universitaria: +.medium[ +```{r} +casen2022_inf$educ_sup <- rec(casen2022_inf$educacion, rec = "1:12=0;13:15=1",val.labels = c("Menos que universitaria", "Universitaria o más")) +frq(casen2022_inf$educ_sup) +``` +] + +--- +.pull-left[ +.small[ +```{r} +pacman::p_load(sjPlot) +casen2022_inf %>% + sjtab(educ_sup,sexo, + show.col.prc=TRUE) +``` +]] + + +.pull-right[ +
    +
    + +$p_m - p_h=0.297-0.214=0.083$ + +El porcentaje de mujeres con educación universitaria es .red[8.3%] superior en las mujeres +
    +.content-box-red[.center[ +.red[¿Es significativa esta diferencia?] +] +] +] + +??? +ver: http://www.sthda.com/english/wiki/two-proportions-z-test-in-r + + + +--- +# Diferencias entre proporciones + +1. Establecer las hipótesis (y definir si son o no direccionales) + +2. Calcular error estándar + +3. Estimar estadístico de prueba (ej: Z o t) + +4. Establecer valor crítico de la prueba (de acuerdo a un cierto nivel de confianza) + +5. Contraste e interpretación + + ->posibilidad de calcular intervalo de confianza +--- +## Diferencias entre proporciones +### 1. Establecer las hipótesis + + +¿Existen diferencias entre el porcentaje de mujeres y hombres con nivel educacional universitario? + +$$H_{a}: p_{mujeres} - p_{hombres} \neq 0$$ +$$H_{0}: p_{mujeres} - p_{hombres}= 0$$ + +--- +## Diferencias entre proporciones +### 2. Cálculo de error estándar + +Recordemos que el SE para una proporción es: +$$SE_p=\sqrt{\frac{p(1-p)}{n}} $$ +Y para diferencia de proporciones: + +$$SE_{p_1 - p_2}=\sqrt{\frac{p_1(1-p_1)}{n_1}+\frac{p_2(1-p_2)}{n_2}}$$ +??? +https://online.stat.psu.edu/stat415/lesson/9/9.4 + +--- +Estimación de error estándar + +\begin{align*} +SE_{p_a - p_b}&=\sqrt{\frac{p_a(1-p_a)}{n_a}+\frac{p_b(1-p_b)}{n_b}} \\\\ +SE_{p_m - p_h}&=\sqrt{\frac{0.297(1-0.297)}{7603}+\frac{0.214(1-0.214)}{6818}} \\\\ +SE_{p_m - p_h}&=\sqrt{\frac{0.209}{7603}+\frac{0.168}{6818}}=\sqrt{0.0000275+0.0000246}=0.00722 +\end{align*} + +--- +## Diferencias entre proporciones +### 3. Cálculo de estadístico de prueba + + +Para diferencia de proporciones también se utiliza la prueba $Z$ + +$$Z_{est}=\frac{p_m - p_h}{SE_{p_m -p_h}}=\frac{0.083}{0.0072}=11.528$$ + +--- +## Diferencias entre proporciones +### 4. Establecer valor crítico de prueba + +Y comparamos este valor con el Z crítico para un $\alpha=0.05$ de dos colas (porque es hipótesis de diferencia) + +```{r} +qnorm(p=.05/2, lower.tail=FALSE) +``` + + +--- +## Diferencias entre proporciones +### 5. Interpretación + +En este caso, nuestro $Z_{est}=11.528$ > $Z_{cri}=1.96$, por lo tanto se rechaza $H_0$ + +La proporción de universitarias y universitarios es diferente, con un 95% de confianza + +--- +## (6). Construcción intervalo de confianza + +.medium[ +Para obtener un intervalo de confianza, a la diferencia de proporciones se le suman/restan errores estándar muttiplicados por el valor Z crítico según nivel de confianza, en este caso $\alpha=0.5/2$ (prueba de dos colas) + +\begin{align*} +p_1 - p_2 &\pm Z_{crit_{\alpha/2}}*SE_{p_a - p_b} \\ +0.297-0.214 &\pm1.96*0.00722\\ +0.083&\pm 0.0142 \\ +\end{align*} + +$$CI[0.07;0.09]$$ +Podemos entonces decir con un 95% de confianza que la diferencia de proporción de universitari_s entre hombres y mujeres se encuentra entre un 7% y un 9%] + +--- +# Estimación directamente en R con .blue[prop.test] + + +.small[ +.pull-left[ +```{r eval=FALSE} +prop_dif <-prop.test(x = c(7603,6818), n = c(25610,31920)) +prop_dif +``` + +2-sample test for equality of proportions with continuity + correction + +data: c(7603, 6818) out of c(25610, 31920) +X-squared = 524.22, df = 1, p-value < 0.00000000000000022 +alternative hypothesis: two.sided +95 percent confidence interval: + 0.07606640 0.09049306 +sample estimates: + prop 1 prop 2 +0.2968762 0.2135965 + + +] +] + + +.pull-right[ +.medium[ +Dos cosas importantes para reporte de este output: + +- probabilidad de error p: si es menor al nivel de error especificado ( $\alpha$), se rechaza la hipótesis nula. En este caso, las diferencias entre grupos son significativamente distinas de cero. + +- el intervalo de confianza: rango de valores con un 95% de confianza para la diferencia estimada. +] +] +??? + +--- +## Hipótesis direccionales de proporciones +### Paso 1: hipótesis + +¿Es superior la proporción de mujeres con educación superior? + +En este caso, + +$$H_{0}: p_{mujeres} \leq p_{hombres}$$ + +En relación a la siguiente hipótesis alternativa: + +$$H_{a}: p_{mujeres} \gt p_{hombres}$$ +--- +## Hipótesis direccionales de proporciones +### Paso 2 (SE) y 3 (estadístico de prueba) igual que para hipótesis no direccionales + +--- +## Hipótesis direccionales de proporciones +### Paso 4: Valor crítico de prueba + +Valor crítico de Z para una cola + +```{r} +qnorm(p=.05, lower.tail=FALSE) +``` + + +--- +## Hipótesis direccionales de proporciones +### Paso 5: Interpretación + +Valor crítico se compara con el valor estimado de Z para la diferencia de proporciones, + + +En este caso, $$Z_{est}=11.528 \gt Z_{cri}=1.644$$ + +Por lo tanto se rechaza $\H_0$, con un 95% de confianza podemos decir que la proporción de mujeres universitarias es mayor en mujeres que en hombres. + + +--- +# Estimación directamente en R con .blue[prop.test] + +.small[ +.pull-left[ +```{r eval=FALSE} +prop_greater <-prop.test(x = c(7603,6818), n = c(25610,31920), alternative = "greater") +prop_greater +``` +``` + 2-sample test for equality of proportions with continuity + correction + +data: c(7603, 6818) out of c(25610, 31920) +X-squared = 524.22, df = 1, p-value < 0.00000000000000022 +alternative hypothesis: greater +95 percent confidence interval: + 0.07722045 1.00000000 +sample estimates: + prop 1 prop 2 +0.2968762 0.2135965 +``` + +] +] + + +.pull-right[ +.medium[ + + +] +] + +--- +class: roja right + +.pull-left-narrow[ +.left[ +### .black[Contenidos] +] +] +.pull-right-wide[ + +## 1- Repaso hipótesis de diferencia de medias +## 2- Hipótesis direccionales +## 3- Hipótesis para proporciones +## .yellow[4- Inferencia en correlación] +] + +--- +# Datos +.medium[ +Simulamos dos variables: edad, y puntaje en escala de izquierda (1) - derecha (10): + +```{r} +edad <-c(18,25,40,55,70, 82) +iz_der <-c(5,4,5,9,5,7) +cor(edad,iz_der) +(cor(edad,iz_der))^2 #r2 + +``` +] + +--- +.pull-left[ +```{r} +plot1 <- ggplot(, + aes(x=edad, y=iz_der)) + + geom_point( + colour = "red", + size = 5) + + theme(text = + element_text(size = 20)) + +``` +] + +.pull-right[ +```{r} +plot1 +``` + +] +--- +## Prueba de hipótesis de correlación +### 1. Formulación de hipótesis + +Siendo $\rho$ (rho) la correlación $r$ en la población: + +$$H_0: \rho = 0$$ +$$H_a: \rho \neq 0$$ +--- +## Prueba de hipótesis de correlación +### 2. Error estándar de la correlación + +\begin{align*} +SE_r=&\sqrt{\frac{1-r²}{n-2}} \\\\ +=&\sqrt{\frac{1-0.257}{6-2}} \\\\ +=&\sqrt{\frac{0.743}{4}}=\sqrt{0.186}=0.431 +\end{align*} +--- +## Prueba de hipótesis de correlación +### 3. Estimación de estadístico de prueba ( $t$) + +\begin{align*} +t_r&=\frac{r}{SE_r} \\\\ +&=\frac{0.51}{0.431} \\\\ +&=1.18 +\end{align*} + +--- +## Prueba de hipótesis de correlación +### 4. Valor crítico para $t$ + +.pull-left[ + +- para un nivel de error $\alpha=0.05$ + +- y una hipótesis de diferencia de dos colas: $\alpha/2=[0.025-0.975]$ + +- grados de libertad N-2= 6-2 = 4] + +.pull-right[ +```{r} +qt(p=.05/2, + df=4, + lower.tail=FALSE) +``` +] + +--- +## Prueba de hipótesis de correlación +### 5. Interpretación + +$t_{r}=1.18 < t_{cri}=2.77$ + +Nuestro t estimado es menor que el valor t crítico para un 95% de confianza, por lo tanto no rechazamos la hipótesis nula. No existe evidencia en nuestros datos para afirmar que la correlación entre la escala izquierda-derecha y edad es distinta de cero en la población. + +--- +## En R + +```{r} +cor.test(iz_der,edad) +``` + +--- + +```{r echo=FALSE} + +ggttest(cor.test(iz_der,edad)) +``` + + +--- +class: inverse + +## Resumen + +- 5 pasos en la prueba de hipótesis + +- Hipótesis direccionales y no direccionales + +- Hipótesis para + - estimación puntual (ej: correlación) + - diferencias + - comparación + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] diff --git a/slides/08-inferencia.html b/slides/08-inferencia.html new file mode 100644 index 00000000..41fb599e --- /dev/null +++ b/slides/08-inferencia.html @@ -0,0 +1,1273 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/08-inferencia_files/figure-html/unnamed-chunk-10-1.png b/slides/08-inferencia_files/figure-html/unnamed-chunk-10-1.png new file mode 100644 index 00000000..6c494cc7 Binary files /dev/null and b/slides/08-inferencia_files/figure-html/unnamed-chunk-10-1.png differ diff --git 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FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(flair) -library(broom) -library(ggdag) -library(kableExtra) -library(scales) -library(patchwork) - -world_happiness <- read_csv("data/world_happiness.csv") %>% - mutate(latin_america = region == "Latin America & Caribbean") %>% - mutate(latin_america = factor(latin_america, labels = c("Not Latin America", "Latin America"))) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Diff-in-diff I & II - -.class-info[ - -**Sessions 8–9** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-6.medium.sp-after-half[Quasi-experiments] - --- - -.box-2.medium.sp-after-half[Interactions & regression] - --- - -.box-5.medium.sp-after-half[Two wrongs make a right] - --- - -.box-3.medium.sp-after-half[Diff-in-diff assumptions] - ---- - -name: quasi-experiments -class: center middle section-title section-title-6 animated fadeIn - -# Quasi-experiments - ---- - -  - -.box-6.large.sp-after[RCTs are great!] - --- - -.box-6.large[Super impractical to do
    all the time though!] - ---- - -layout: true -class: title title-6 - ---- - -# Quasi-experiments - --- - -.box-inv-6.medium[You can't always randomly
    assign people to do things] - --- - -.box-inv-6.medium[So let other people (or the government,
    or nature, or something else) do it for you] - ---- - -# Quasi-experiments - -.box-inv-6.medium.sp-after[**Quasi-experiment**
    A situation where you, as researcher,
    did not assign people to treatment/control] - --- - -.center.float-left.sp-after[ -.box-6[External validity 👍] .box-6[Selection 👎] -] - --- - -.box-inv-6.medium[Assignment to treatment is "as if" random] - -??? - -Good bc of external validity; bad bc of selection - ---- - -# Quasi-experiments vs. DAG adjustment - --- - -.box-inv-6[We did a lot of work with DAGs!
    You're good at closing backdoors with matching and IPW] - --- - -.box-inv-6.sp-after[DAGs can work for any kind of observational data,
    even without a quasi-experimentalish situation] - --- - -.box-6[Quasi-experiments are a little different:
    the **context** isolates pathway between treatment and outcome] - --- - -.box-6.smaller[They're wildly popular in social sciences (especially economics!),
    maybe more credible (?) there than just making DAG adjustments] - --- - -.box-6.smaller[You can still draw a DAG for a quasi-experiment though!] - ---- - -# Analyzing quasi-experiments - --- - -.box-inv-6.medium[Difference-in-differences] - -.box-6.small.sp-after[DiD; DD; diff-in-diff] - --- - -.box-inv-6.medium[Regression discontinuity] - -.box-6.small.sp-after[RD; RDD] - --- - -.box-inv-6.medium[Instrumental variables] - -.box-6.small[IV] - ---- - -layout: false -name: interactions-regression -class: center middle section-title section-title-2 animated fadeIn - -# Interactions & regression - ---- - -layout: true -class: title title-2 - ---- - -# Sliders and switches - -.center[ -
    - Switch and slider -
    -] - ---- - -layout: false - -.smaller[ -$$ -\widehat{\text{Happiness}} = \beta_0 + \beta_1 \text{Life expectancy} + \beta_2 \text{Latin America} + \varepsilon -$$ -] - --- - -.small-code[ -```{r model-happiness-indicator} -model1 <- lm(happiness_score ~ life_expectancy + latin_america, - data = world_happiness) -tidy(model1) -``` -] - --- - -.pull-left[ -.box-inv-2.small[Life expectancy = continuous / slider] - -.box-2.smaller["For every 1-year increase in life expectancy,
    happiness is associated with a β1 increase"] -] - --- - -.pull-right[ -.box-inv-2.small[Latin America = categorical / switch] - -.box-2.smaller["Being in Latin America is associated
    with a β2 increase in happiness"] -] - ---- - -class: title title-2 - -# Indicators and interactions - -.box-inv-2.medium[Indicators .tiny[(dummies)]] - --- - -.box-2.sp-after[Change in intercept for specific group] - ---- - -layout: false - -```{r plot-indicator-1, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + - geom_point(aes(fill = latin_america), size = 5, pch = 21, color = "white", alpha = 0.7) + - scale_fill_manual(values = c("grey70", "#B10DC9"), name = NULL) + - labs(x = "Life expectancy", y = "Happiness score") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - ---- - -```{r plot-indicator-2, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -model1_coefs <- tidy(model1) -la_shift <- filter(model1_coefs, term == "latin_americaLatin America")$estimate %>% round(2) -world_slope <- filter(model1_coefs, term == "life_expectancy")$estimate - -ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + - geom_point(aes(fill = latin_america), size = 5, pch = 21, color = "white", alpha = 0.7) + - geom_abline(slope = filter(model1_coefs, term == "life_expectancy")$estimate, - intercept = filter(model1_coefs, term == "(Intercept)")$estimate, - color = "#0074D9", size = 2) + - scale_fill_manual(values = c("grey70", "#B10DC9"), name = NULL) + - labs(x = "Life expectancy", y = "Happiness score") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - -.box-2.small[World slope = `r round(world_slope, 3)`] - ---- - -```{r plot-indicator-3, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + - geom_point(aes(fill = latin_america), size = 5, pch = 21, color = "white", alpha = 0.7) + - geom_abline(slope = filter(model1_coefs, term == "life_expectancy")$estimate, - intercept = filter(model1_coefs, term == "(Intercept)")$estimate, - color = "#0074D9", size = 2) + - geom_abline(slope = filter(model1_coefs, term == "life_expectancy")$estimate, - intercept = filter(model1_coefs, term == "(Intercept)")$estimate + - filter(model1_coefs, term == "latin_americaLatin America")$estimate, - color = colorspace::darken("#B10DC9", 0.3), size = 2) + - scale_fill_manual(values = c("grey70", "#B10DC9"), name = NULL) + - labs(x = "Life expectancy", y = "Happiness score") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - -.box-2.small[Latin America intercept shifted up `r round(la_shift, 3)`; line has same slope as world (`r round(world_slope, 3)`)] - ---- - -.smaller[ -$$ -\begin{aligned} -\widehat{\text{Happiness}} = &\beta_0 + \beta_1 \text{Life expectancy} + \beta_2 \text{Latin America} + \\ -&\beta_3 (\text{Life expectancy} \times \text{Latin America}) + \varepsilon -\end{aligned} -$$ -] - --- - -.small-code[ -```{r model-happiness-interaction} -model2 <- lm(happiness_score ~ life_expectancy + latin_america + - (life_expectancy * latin_america), data = world_happiness) -tidy(model2) -``` -] - --- - -.box-2.small["In Latin America, for every 1-year increase in life expectancy,
    happiness is associated with a β1 + β3 increase *and* the intercept is β2 lower"] - ---- - -class: title title-2 - -# Indicators and interactions - -.box-inv-2.medium[Indicators .tiny[(dummies)]] - -.box-2.sp-after[Change in intercept for specific group] - -.box-inv-2.medium.sp-before[Interactions] - --- - -.box-2[Change in slope for specific group] - ---- - -```{r plot-interaction-1, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -model2_coefs <- tidy(model2) -la_slope_shift <- filter(model2_coefs, term == "life_expectancy:latin_americaLatin America")$estimate -la_actual_slope <- filter(model2_coefs, term == "life_expectancy")$estimate + la_slope_shift - -ggplot(world_happiness, aes(x = life_expectancy, y = happiness_score)) + - geom_point(aes(fill = latin_america), size = 5, pch = 21, color = "white", alpha = 0.7) + - geom_abline(slope = filter(model2_coefs, term == "life_expectancy")$estimate, - intercept = filter(model2_coefs, term == "(Intercept)")$estimate, - color = "#0074D9", size = 2) + - geom_abline(slope = filter(model2_coefs, term == "life_expectancy")$estimate + - filter(model2_coefs, term == "life_expectancy:latin_americaLatin America")$estimate, - intercept = filter(model2_coefs, term == "(Intercept)")$estimate + - filter(model2_coefs, term == "latin_americaLatin America")$estimate, - color = colorspace::darken("#B10DC9", 0.3), size = 2) + - scale_fill_manual(values = c("grey70", "#B10DC9"), name = NULL) + - labs(x = "Life expectancy", y = "Happiness score") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - -.box-2.small[Latin America slope is `r round(la_slope_shift, 3)` + `r round(world_slope, 3)` = `r round(la_actual_slope, 3)`; different from rest of the world] - ---- - -class: title title-2 - -# Interactions - -.box-inv-2[What would happen if you ran this?] - -.small-code[ -```{r model-happiness-interaction-1} -model3 <- lm(happiness_score ~ (life_expectancy * latin_america), - data = world_happiness) -``` -] - --- - -.small-code[ -```{r show-model-happiness-interaction-1, echo=FALSE} -tidy(model3) -``` -] - --- - -.box-2.small[**It still works!**
    Both terms have to be in the model; R will add them for you if you leave them out] - ---- - -class: title title-2 - -# Interactions - -.box-inv-2[What would happen if you ran this?] - -.small-code[ -```{r model-happiness-interaction-2} -model4 <- lm(happiness_score ~ life_expectancy * region, # region has multiple categories - data = world_happiness) -``` -] - --- - -.pull-left-wide[ -.small-code.smaller[ -```{r show-model-happiness-interaction-2, echo=FALSE} -tidy(model4) -``` -] -] - --- - -.pull-right-narrow[ -.box-2.small[Changes in
    slopes and intercepts
    for each region] -] - ---- - -class: title title-2 - -# General idea of interactions - -.box-inv-2.medium[The *additional* change that happens when
    combining two explanatory variables] - --- - -.box-2[Life expectancy effect] - --- - -.box-2[Latin America effect] - --- - -.box-2[Additional life expectancy effect in Latin America] - - ---- - -.pull-left[ -.box-2[Is there a discount when combining cheese and chili?] - -  - -.box-inv-2[What is the cheese effect?] - -.box-inv-2[What is the chili effect?] - -.box-inv-2[What is the
    chili × cheese effect?] -] - -.pull-right.center[ -
    - Hot dog prices -
    -] - -??? - -- Cheese effect: 0.35 -- Chili effect: 0.35 -- Chili × cheese effect: 0 - -https://twitter.com/kevin_stange/status/1186056025897684992 - ---- - -layout: false -name: two-wrongs -class: center middle section-title section-title-5 animated fadeIn - -# Two wrongs make a right - ---- - -class: bg-full -background-image: url("img/08/federalism.png") - -??? - -https://twitter.com/causalinf/status/1021392181209255938 - ---- - -layout: true -class: title title-5 - ---- - -# Raising the minimum wage - -.box-inv-5.medium.sp-after-half[What happens if you raise the minimum wage?] - --- - -.box-5.sp-after[Economic theory says there
    should be fewer jobs] - --- - -.box-inv-5.medium[New Jersey in 1992] - -.box-inv-5.medium[$4.25 → $5.05] - ---- - -# Before vs. after - -.box-inv-5.medium.sp-after-half[Average # of jobs per fast food restaurant in NJ] - --- - -.box-5[New JerseyBefore change = 20.44] - --- - -.box-5[New JerseyAfter change = 21.03] - --- - -.box-5.sp-after[∆ = 0.59] - --- - -.box-inv-5.medium[Is this the causal effect?] - -??? - -No! Not possible because maybe other things happened in NJ to cause that – there's no control state to compare with NJ - ---- - -# Treatment vs. control - -.box-inv-5.medium.sp-after-half[Average # of jobs per fast food restaurant] - --- - -.box-5[PennsylvaniaAfter change = 21.17] - --- - -.box-5[New JerseyAfter change = 21.03] - --- - -.box-5.sp-after[∆ = −0.14] - --- - -.box-inv-5.medium[Is this the causal effect?] - -??? - -No! There's no pre-level to compare with. Maybe both states went up, maybe both went down. Can't tell. - ---- - -# Problems - --- - -.box-inv-5.medium[Comparing only before/after] - --- - -.box-5.small[You're only looking at the treatment group!] - --- - -.box-5.small.sp-after[Impossible to know if change happened because of treatment or just naturally] - --- - -.box-inv-5.medium.sp-before[Comparing only treatment/control] - --- - -.box-5.small[You're only looking at post-treatment values] - --- - -.box-5.small[Impossible to know if change happened because of natural growth] - ---- - -layout: false - -```{r min-wage-dag, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -node_details <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "Minimum wage", 1, 2, - "outcome", "Jobs", 3, 2, - "time", "Time (year)", 2, 3, - "nj", "Being in New Jersey", 2, 1 -) - -node_labels <- node_details$label -names(node_labels) <- node_details$name - -my_dag <- dagify(outcome ~ treatment + time + nj, - treatment ~ time + nj, - exposure = "treatment", - outcome = "outcome", - coords = node_details, - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() # Add column for exposure/outcome/latent - -status_colors <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "grey50") - -# Fancier graph -set.seed(1234) -ggplot(my_dag, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 10, - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(2.5, "lines"), - direction = "y") + - scale_color_manual(values = status_colors, na.value = "grey20") + - scale_fill_manual(values = status_colors, na.value = "grey20") + - guides(color = FALSE, fill = FALSE) + - theme_dag(base_size = 20, base_family = "Fira Sans Condensed") -``` - ---- - -```{r dd-table-basic, echo=FALSE} -dd <- tribble( - ~` `, ~`Pre mean`, ~`Post mean`, ~`∆ (post − pre)`, - "Control", "A
    (never treated)", "B
    (never treated)", "B − A", - "Treatment", "C
    (not yet treated)", "D
    (treated)", "D − C", - "∆
    (treatment − control)", "C − A", "D − B", "(B − A) − (D − C) or
    (B − D) − (A − C)" -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - column_spec(4, background = "#DDDDDD") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(4, background = "#FFFFFF", color = "#FFFFFF") %>% - row_spec(3, background = "#FFFFFF", color = "#FFFFFF") -``` - ---- - -```{r dd-table-growth, echo=FALSE} -dd <- tribble( - ~` `, ~`Pre mean`, ~`Post mean`, ~`∆ (post − pre)`, - "Control", "A
    (never treated)", "B
    (never treated)", "B − A", - "Treatment", "C
    (not yet treated)", "D
    (treated)", "D − C", - "∆
    (treatment − control)", "A − C", "B − D", "(B − A) − (D − C) or
    (B − D) − (A − C)" -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - column_spec(4, background = "#DDDDDD") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - row_spec(3, background = "#FFFFFF", color = "#FFFFFF") -``` - -.box-5[∆ (post − pre) = **within-unit growth**] - ---- - -```{r dd-table-within, echo=FALSE} -dd <- tribble( - ~` `, ~`Pre mean`, ~`Post mean`, ~`∆ (post − pre)`, - "Control", "A
    (never treated)", "B
    (never treated)", "B − A", - "Treatment", "C
    (not yet treated)", "D
    (treated)", "D − C", - "∆
    (treatment − control)", "C − A", "D − B", "(B − A) − (D − C) or
    (B − D) − (A − C)" -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - row_spec(3, background = "#DDDDDD") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(4, background = "#FFFFFF", color = "#FFFFFF") -``` - -.box-5[∆ (treatment − control) = **across-group growth**] - ---- - -```{r dd-table-full, echo=FALSE} -dd <- tribble( - ~` `, ~`Pre mean`, ~`Post mean`, ~`∆ (post − pre)`, - "Control", "A
    (never treated)", "B
    (never treated)", "B − A", - "Treatment", "C
    (not yet treated)", "D
    (treated)", "D − C", - "∆
    (treatment − control)", "C − A", "D − B", "(D − C) − (B − A) or
    (D − B) − (C − A)" -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - row_spec(3, background = "#DDDDDD") %>% - column_spec(4, background = "#DDDDDD") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") -``` - -.box-5[∆within units − ∆within groups =
    Difference-in-differences =
    causal effect!] - ---- - -class: middle - -.medium[ -$$\begin{aligned} -\text{DD}\ =\ &(\bar{x}_\text{treatment, post} - \bar{x}_\text{treatment, pre}) \\ -&- (\bar{x}_\text{control, post} - \bar{x}_\text{control, pre}) -\end{aligned}$$ -] - ---- - -```{r dd-table-numbers, echo=FALSE} -dd <- tribble( - ~` `, ~`Pre mean`, ~`Post mean`, ~`∆ (post − pre)`, - "Pennsylvania", "23.33
    A", "21.17
    B", "-2.16
    B − A", - "New Jersey", "20.44
    C", "21.03
    D", "0.59
    D − C", - "∆
    (NJ − PA)", "-2.89
    C − A", "-0.14
    D − B", "(0.59) − (−2.16) =
    2.76    " -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - row_spec(3, background = "#DDDDDD") %>% - column_spec(4, background = "#DDDDDD") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") -``` - ---- - -```{r dd-graph, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -dd_labels <- tribble( - ~Group, ~Time, ~label, - "Treatment", "Before", "A", - "Treatment", "After", "B", - "Control", "Before", "C", - "Control", "After", "D" -) - -dd_data <- tribble( - ~Group, ~Before, ~Intervention, ~After, - "Treatment", 30, 35, 50, - "Control", 20, 25, 30 -) %>% - pivot_longer(cols = !Group, names_to = "Time", values_to = "avg") %>% - left_join(dd_labels, by = c("Group", "Time")) %>% - mutate(across(c(Group, Time), ~fct_inorder(.))) - -ggplot(dd_data, aes(x = Time, y = avg, color = Group, group = Group)) + - geom_vline(xintercept = "Intervention") + - geom_line(size = 3, - key_glyph = draw_key_point) + - annotate(geom = "segment", x = "Intervention", xend = "After", - y = 35, yend = 40, color = "#0074D9", size = 2, linetype = "22") + - annotate(geom = "segment", x = "After", xend = "After", - y = 40, yend = 50, color = "#FF4136", size = 2) + - annotate(geom = "label", x = "After", y = 45, label = "Causal\neffect", - family = "Fira Sans Condensed Bold", fontface = "plain", - size = 5, fill = "#FF4136", color = "white") + - geom_point(data = filter(dd_data, !is.na(label)), size = 15) + - geom_text(aes(label = label), family = "Fira Sans Condensed Bold", - fontface = "plain", size = 10, color = "white") + - scale_color_manual(values = c("#0074D9", "#3D9970")) + - labs(x = NULL, y = "Outcome") + - coord_cartesian(ylim = c(15, 55)) + - theme_bw(base_size = 24, base_family = "Fira Sans Condensed") -``` - ---- - -class: title title-5 - -# An easier way? - --- - -.box-inv-5.medium[Finding all the group
    means is tedious!] - --- - -.box-inv-5.medium.sp-after[What if there are other
    backdoors to worry about?] - --- - -.box-5.medium[Regression to the rescue!] - ---- - -![](`r knitr::fig_chunk("min-wage-dag", "png")`) - ---- - -$$\begin{aligned} -\color{#2ECC40}{Y_{it}}\ =\ &\alpha + \beta\ \color{#0074D9}{\text{Group}_i} + \gamma\ \color{#39CCCC}{\text{Time}_t} + \\ -&\delta\ \color{#FF4136}{(\text{Group}_i \times \text{Time}_t)} + \varepsilon_{it} -\end{aligned}$$ - --- - -.center.sp-after[ -```{r dd-example-code, echo=FALSE, tidy=FALSE} -decorate(' -model <- lm(outcome ~ group + time + (group * time)) -', eval = FALSE) %>% - flair("outcome", color = "#2ECC40", before = "", after = "") %>% - flair(" group ", color = "#0074D9", before = "", after = "") %>% - flair(" time ", color = "#39CCCC", before = "", after = "") %>% - flair("(group * time)", color = "#FF4136", before = "", after = "") -``` -] - --- - -  - -Group = 1 or TRUE if treatment - --- - -Time = 1 or TRUE if after - ---- - -$$\begin{aligned} -\color{#2ECC40}{Y_{it}}\ =\ &\color{#666666}{\alpha} + \color{#0074D9}{\beta\ \text{Group}_i} + \color{#39CCCC}{\gamma\ \text{Time}_t} + \\ -&\color{#FF4136}{\delta\ (\text{Group}_i \times \text{Time}_t)} + \varepsilon_{it} -\end{aligned}$$ - -.center.sp-after[ -```{r dd-example-code-again, echo=FALSE, tidy=FALSE} -decorate(' -model <- lm(outcome ~ group + time + (group * time)) -', eval = FALSE) %>% - flair("outcome", color = "#2ECC40", before = "", after = "") %>% - flair(" group ", color = "#0074D9", before = "", after = "") %>% - flair(" time ", color = "#39CCCC", before = "", after = "") %>% - flair("(group * time)", color = "#FF4136", before = "", after = "") -``` -] - --- - -α = Mean of control, pre-treatment - --- - -β = Increase in outcome across groups - --- - -γ = Increase in outcome over time within units - --- - -δ = Difference in differences! - ---- - -$$\begin{aligned} -\color{#2ECC40}{Y_{it}}\ =\ &\color{#666666}{\alpha} + \color{#0074D9}{\beta\ \text{Group}_i} + \color{#39CCCC}{\gamma\ \text{Time}_t} + \\ -&\color{#FF4136}{\delta\ (\text{Group}_i \times \text{Time}_t)} + \varepsilon_{it} -\end{aligned}$$ - -```{r dd-table-coefs, echo=FALSE} -dd <- tribble( - ~` `, ~` Pre mean `, ~` Post mean `, ~` ∆ (post − pre) `, - "Control", "α", "α + γ", "γ", - "Treatment", "α + β", "α + β + γ + δ", "γ + δ", - " ∆ (trtmt − ctrl) ", "β", "β + δ", "δ" -) - -dd %>% - kbl(escape = FALSE, align = "cccc") %>% - kable_styling(bootstrap_options = "none") %>% - row_spec(1:2, background = "#FFFFFF") %>% - row_spec(3, background = "#EEEEEE") %>% - column_spec(4, background = "#EEEEEE") %>% - row_spec(0, bold = TRUE, background = "#FFC6C6", color = "#CF4446") %>% - column_spec(1, bold = TRUE, background = "#FFC6C6", color = "#CF4446") -``` - ---- - -.pull-left[ - -.center[ -
    - Hot dog prices -
    -] - -.small-code[ -```{r hotdogs-data, echo=FALSE} -hotdogs <- tribble( - ~price, ~cheese, ~chili, - 2.00, FALSE, FALSE, - 2.35, TRUE, FALSE, - 2.35, FALSE, TRUE, - 2.70, TRUE, TRUE -) -``` - -```{r show-hotdogs-data} -hotdogs -``` -] -] - --- - -.pull-right.small-code[ -```{r hotdogs-diff-diff} -model_hotdogs <- - lm(price ~ cheese + chili + - cheese * chili, - data = hotdogs) -``` - -```{r show-hotdogs-diff-diff-fake, eval=FALSE} -tidy(model_hotdogs) -``` - -```{r show-hotdogs-diff-diff, echo=FALSE} -tidy(model_hotdogs) %>% - select(term, estimate) %>% - mutate(estimate = round(estimate, 2)) -``` -] - ---- - -class: bg-full -background-image: url("img/08/pokemon1.png") - -??? - -https://doi.org/10.1136/bmj.i6270 - ---- - -class: bg-full -background-image: url("img/08/pokemon2.png") - -??? - -https://doi.org/10.1136/bmj.i6270 - ---- - -class: bg-full -background-image: url("img/08/pokemon3.png") - -??? - -https://doi.org/10.1136/bmj.i6270 - ---- - -layout: false -name: diff-diff-assumptions -class: center middle section-title section-title-3 animated fadeIn - -# Diff-in-diff assumptions - ---- - -class: title title-3 - -# Assumptions - -.box-inv-3.medium[Parallel trends] - --- - -.box-3[Treatment and control groups might have different values
    at first, but we assume that the treatment group would
    have changed like the control group in the absence of treatment] - ---- - -```{r plot-trends-1, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -trends <- expand_grid(state = c("A", "B"), month = 1:6) %>% - mutate(income_parallel = case_when( - state == "A" ~ 100 + 125 * month, - state == "B" & month <= 3 ~ 100 + 125 * month + 200, - state == "B" & month > 3 ~ 100 + 125 * month + 400 - )) %>% - mutate(income_flat = case_when( - state == "A" ~ 100 + 125 * month, - state == "B" & month <= 3 ~ 675, - state == "B" & month > 3 ~ 100 + 125 * month + 400 - )) %>% - mutate(income_down = case_when( - state == "A" ~ 100 + 125 * month, - state == "B" & month <= 3 ~ 800 - 100 * month + 200, - state == "B" & month > 3 ~ 100 + 125 * month + 400 - )) %>% - mutate(state = paste0("State ", state)) - -hypothetical_end <- lm(income_parallel ~ month, - data = filter(trends, state == "State B", month <= 3)) %>% - augment(newdata = tibble(month = 6)) %>% - pull(.fitted) - -actual_end <- filter(trends, state == "State B", month == 6) %>% - pull(income_parallel) - -dd_trends_1 <- ggplot(trends, aes(x = as.factor(month), y = income_parallel, color = state, group = state)) + - geom_smooth(data = filter(trends, state == "State B", month <= 3), - method = "lm", fullrange = TRUE, - color = "#0074D9", size = 1, linetype = "22") + - geom_vline(xintercept = 3.5, size = 1) + - geom_line(size = 3) + - geom_segment(aes(x = 6, xend = 6, - y = actual_end, yend = hypothetical_end), - color = "#FF4136", size = 2) + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -dd_trends_1 -``` - ---- - -```{r plot-trends-2, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -hypothetical_end <- lm(income_flat ~ month, - data = filter(trends, state == "State B", month <= 3)) %>% - augment(newdata = tibble(month = 6)) %>% - pull(.fitted) - -actual_end <- filter(trends, state == "State B", month == 6) %>% - pull(income_flat) - -dd_trends_2 <- ggplot(trends, aes(x = as.factor(month), y = income_flat, color = state, group = state)) + - geom_smooth(data = filter(trends, state == "State B", month <= 3), - method = "lm", fullrange = TRUE, - color = "#0074D9", size = 1, linetype = "22") + - geom_vline(xintercept = 3.5, size = 1) + - geom_line(size = 3) + - geom_segment(aes(x = 6, xend = 6, - y = actual_end, yend = hypothetical_end), - color = "#FF4136", size = 2) + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -dd_trends_2 -``` - ---- - -```{r plot-trends-3, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -hypothetical_end <- lm(income_down ~ month, - data = filter(trends, state == "State B", month <= 3)) %>% - augment(newdata = tibble(month = 6)) %>% - pull(.fitted) - -actual_end <- filter(trends, state == "State B", month == 6) %>% - pull(income_down) - -dd_trends_3 <- ggplot(trends, aes(x = as.factor(month), y = income_down, color = state, group = state)) + - geom_smooth(data = filter(trends, state == "State B", month <= 3), - method = "lm", fullrange = TRUE, - color = "#0074D9", size = 1, linetype = "22") + - geom_vline(xintercept = 3.5, size = 1) + - geom_line(size = 3) + - geom_segment(aes(x = 6, xend = 6, - y = actual_end, yend = hypothetical_end), - color = "#FF4136", size = 2) + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -dd_trends_3 -``` - ---- - -class: title title-3 - -# Assumptions - -.box-inv-3.medium[Parallel trends] - --- - -.box-3[Check by pretending the treatment happened earlier;
    if there's an effect, there's likely an underlying trend] - ---- - -```{r plot-trends-2-back, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -state_a_start <- filter(trends, state == "State A", month == 1)$income_flat -state_b_end <- filter(trends, state == "State B", month == 3)$income_flat -hypothetical_start <- filter(trends, state == "State B", month == 2)$income_flat -diff_states <- filter(trends, state == "State B", month == 1)$income_flat - state_a_start -hypothetical_end <- filter(trends, state == "State A", month == 2)$income_flat + diff_states - -ggplot(filter(trends, month <= 6), - aes(x = month, y = income_flat, color = state, group = state)) + - geom_ribbon(data = filter(trends, state == "State B", month <= 3), - aes(x = month, ymin = -Inf, ymax = Inf, color = NULL), - fill = "#7FDBFF", alpha = 0.2) + - annotate(geom = "segment", x = 2, xend = 3, - y = hypothetical_start, yend = hypothetical_end, - color = "#0074D9", size = 1, linetype = "22") + - geom_vline(xintercept = 2, size = 1) + - geom_line(size = 3) + - geom_segment(aes(x = 3, xend = 3, - y = state_b_end, yend = hypothetical_end), - color = "#FF4136", size = 2, inherit.aes = FALSE) + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_x_continuous(breaks = 1:6) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - ---- - -```{r plot-trends-3-back, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -state_a_start <- filter(trends, state == "State A", month == 1)$income_down -state_b_end <- filter(trends, state == "State B", month == 3)$income_down -hypothetical_start <- filter(trends, state == "State B", month == 2)$income_down -diff_states <- filter(trends, state == "State B", month == 1)$income_down - state_a_start -hypothetical_end <- filter(trends, state == "State A", month == 1)$income_down + diff_states - -ggplot(filter(trends, month <= 6), - aes(x = month, y = income_down, color = state, group = state)) + - geom_ribbon(data = filter(trends, state == "State B", month <= 3), - aes(x = month, ymin = -Inf, ymax = Inf, color = NULL), - fill = "#7FDBFF", alpha = 0.2) + - annotate(geom = "segment", x = 2, xend = 3, - y = hypothetical_start, yend = hypothetical_end, - color = "#0074D9", size = 1, linetype = "22") + - geom_vline(xintercept = 2, size = 1) + - geom_line(size = 3) + - geom_segment(aes(x = 3, xend = 3, - y = state_b_end, yend = hypothetical_end), - color = "#FF4136", size = 2, inherit.aes = FALSE) + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_x_continuous(breaks = 1:6) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - ---- - -```{r plot-trends-1-back, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -hypothetical_start <- filter(trends, state == "State B", month == 2)$income_parallel -hypothetical_end <- filter(trends, state == "State B", month == 3)$income_parallel - -ggplot(filter(trends, month <= 6), - aes(x = month, y = income_parallel, color = state, group = state)) + - geom_ribbon(data = filter(trends, state == "State B", month <= 3), - aes(x = month, ymin = -Inf, ymax = Inf, color = NULL), - fill = "#7FDBFF", alpha = 0.2) + - geom_vline(xintercept = 2, size = 1) + - geom_line(size = 3) + - annotate(geom = "segment", x = 2, xend = 3, - y = hypothetical_start, yend = hypothetical_end, - color = "#0074D9", size = 1, linetype = "22") + - scale_color_manual(values = c("#3D9970", "#FF851B"), name = NULL) + - scale_x_continuous(breaks = 1:6) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") -``` - ---- - -class: title title-3 - -# Assumptions - -.box-inv-3.medium[Treatment timing] - --- - -.box-3[Units often receive treatment at different times,
    which can distort your estimate!] - ---- - -```{r gb-trends-1, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -gb_trends <- expand_grid(type = c("Early", "Late"), month = 1:12) %>% - mutate(income = case_when( - type == "Late" & month <= 8 ~ 100 + 75 * month, - type == "Late" & month > 8 ~ 100 + 75 * month + 200, - type == "Early" & month <= 4 ~ 100 + 75 * month + 200, - type == "Early" & month > 4 ~ 100 + 75 * month + 400 - )) %>% - mutate(month_f = fct_inorder(factor(month))) - -ggplot(gb_trends, aes(x = month, y = income, color = type)) + - geom_smooth(data = filter(gb_trends, type == "Early", month <= 4), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#B10DC9", size = 1, linetype = "22") + - geom_smooth(data = filter(gb_trends, type == "Late", month <= 7), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#001f3f", size = 1, linetype = "22") + - geom_vline(xintercept = c(4.5, 8.5), size = 1) + - geom_line(size = 3) + - scale_color_manual(values = c("#B10DC9", "#001f3f"), name = NULL) + - scale_x_continuous(breaks = 1:12) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") + - theme(panel.grid.major.x = element_blank()) -``` - ---- - -```{r gb-trends-2, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -plot_early <- ggplot(gb_trends, aes(x = month, y = income, color = type)) + - geom_ribbon(data = filter(gb_trends, type == "Early", month <= 6), - aes(x = month, ymin = -Inf, ymax = Inf, color = NULL), - fill = "grey20", alpha = 0.2) + - geom_smooth(data = filter(gb_trends, type == "Early", month <= 4), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#B10DC9", size = 1, linetype = "22") + - geom_smooth(data = filter(gb_trends, type == "Late", month <= 7), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#001f3f", size = 1, linetype = "22") + - geom_vline(xintercept = c(4.5, 8.5), size = 1) + - geom_line(size = 3) + - scale_color_manual(values = c("#B10DC9", "#001f3f"), name = NULL) + - scale_x_continuous(breaks = 1:12) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = "Income", - subtitle = "Positive effect for early group") + - guides(color = FALSE) + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") + - theme(panel.grid.major.x = element_blank()) - -plot_late <- ggplot(gb_trends, aes(x = month, y = income, color = type)) + - geom_ribbon(data = filter(gb_trends, type == "Early", month >= 7), - aes(x = month, ymin = -Inf, ymax = Inf, color = NULL), - fill = "grey20", alpha = 0.2) + - geom_smooth(data = filter(gb_trends, type == "Early", month <= 4), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#B10DC9", size = 1, linetype = "22") + - geom_smooth(data = filter(gb_trends, type == "Late", month <= 7), - aes(x = month, y = income), inherit.aes = FALSE, - method = "lm", fullrange = TRUE, se = FALSE, - color = "#001f3f", size = 1, linetype = "22") + - geom_vline(xintercept = c(4.5, 8.5), size = 1) + - geom_line(size = 3) + - scale_color_manual(values = c("#B10DC9", "#001f3f"), name = NULL) + - scale_x_continuous(breaks = 1:12) + - scale_y_continuous(labels = dollar) + - labs(x = "Month", y = NULL, - subtitle = "Negative effect for early group!") + - theme_bw(base_size = 21, base_family = "Fira Sans Condensed") + - theme(panel.grid.major.x = element_blank()) - -plot_early + plot_late -``` - ---- - -class: title title-3 - -# Assumptions - -.box-3[You can check how big of an issue this is
    with Goodman-Bacon decomposition] - --- - -.box-inv-3[R package: `bacondecomp`] - -.center[ -
    - Goodman-Bacon paper -
    -] - -??? - -https://www.nber.org/papers/w25018.pdf diff --git a/slides/09-categoricas.Rmd b/slides/09-categoricas.Rmd new file mode 100644 index 00000000..4baab547 --- /dev/null +++ b/slides/09-categoricas.Rmd @@ -0,0 +1,724 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 9: +## .orange[Asociación y categóricas]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +# Lectura hoy: + +.large[ +[Moore cap 9:
    INFERENCIA PARA TABLAS +DE CONTINGENCIA](https://correlacional.netlify.app/files/textos/Moore.pdf) +] + +--- +# Hasta ahora + +- asociación entre variables continuas / correlación (Unidad 1) + +- inferencia para diferencias y asociaciones (Unidad 2) + +--- +class: inverse + +# Hoy Unidad 3: +# Asociación con variables categóricas + +--- +class: roja + +# Asociación en tablas de contingencia + +--- +## Escalas de medición de variables + +- NOIR: Nominal, Ordinal, Intervalar, Razón + +.small[ +| Tipo | Características | Propiedad de números | Ejemplo| +|------------ |----------------------------------------------|--------------- |----------- | +| *Nominal* | Uso de números en lugar de palabras | Identidad | Nacionalidad | +| *Ordinal* | Números se usan para ordenar series | + ranking | Nivel educacional | +| *Intervalar* | Intervalos iguales entre números | + igualdad | Temperatura | +| *Razón* | Cero real | + aditividad | Distancia | +] + +??? + + - Nominal: Números empleados como etiquetas (ej. sexo, raza) + + - Ordinales: Distintas categorías puede sen ordenados en serie. Posición, no distancia. (ej. cargos en una empresa) + + - Intervalares: Escalas de unidades iguales. Diferencia entre dos número consecuntivos refleja diferencia empírica. (ej. Horas del día) + + - Razón: caracterizados por la presencia de un cero absoluto. (ej. frecuencias de eventos) + +--- +## Tipos de datos en relación a escalas de medición. + +* **Datos categóricos**: + + - pueden ser medidos sólo mediante escalas nominales, u ordinales en caso de orden de rango + +* **Datos continuos**: + - Medidos en escalas intervalares o de razón + - Pueden ser transformados a datos categóricos + +--- +# Tablas de contingencia o tablas cruzadas +.pull-left[ +- Son tablas que presentan la distribución conjunta de dos o más variables + +- Ej. Moore cap 9: recaidas en consumo de cocaina luego de tratar adicción con distintos tratamientos +] +.pull-right[ +![](img/contingencia_moore.png) +] + +??? +- ver temas de frecuencias absolutas, porcentuales y totales por filas o por columnas + +--- +# Tablas de contingencia y asociación + +---- + +.pull-left[ +.content-box-red[ +.center[ +#¿Cómo establecer una medida de **asociación** de los datos en una tabla de contingencia? +] +] +] + +.pull-right[ +.content-box-purple[ +.center[ +#¿Cómo saber si esa asociación es **estadísticamente** significativa? +] +] +] +--- +# Ejemplo + +Pensemos en la siguiente pregunta de investigación: + +**¿Existe una asociación entre la percepción de ser discriminado y el nivel educacional?** + +$H_a$: el nivel educacional se asocia a la percepción de ser discriminado + +$H_0$: no hay asociación entre nivel educacional y percepción de ser discriminado + +--- +.pull-left-narrow[ +# Vamos a los datos: CASEN 2022 + +En CASEN existe una batería sobre percepción de discriminación: +] + + + +.pull-rigth-wide[ +
    + +
    +] + +--- +Generar subset CASEN con educación y percepción de discriminación + +.pre[ +```{r eval=FALSE} +pacman::p_load(haven, sjmisc, dplyr) +casen2022_chi <- read_dta("/home/juank/Downloads/Base de datos Casen 2022 STATA.dta") +summary(casen2022$r9) +sjmisc::find_var(data = casen2022_chi,"discriminado") +sjmisc::find_var(data = casen2022_chi,"nivel educacional") +casen2022_chi <- casen2022_chi %>% + select(r9a:r9t, e6a) # seleccionar variables +casen2022_chi <- casen2022_chi %>% + rename("educacion"=e6a) #renombrar +save(casen2022_chi, + file = "slides/data/casen2022_chi.Rdata") #guardar objeto +rm(list = c('casen2022_chi')) # quitar del environment por tamaño/memoria +``` +] + +--- +Recodificar discriminación +```{r} +load("data/casen2022_chi.Rdata") +frq(casen2022_chi$r9t) +``` + +--- + +- En la lista CASEN al final hay una item de "no ha sido discriminado" (**r9t**), que usaremos para nuestro análisis; la renombramos "discrim" + +- Quienes responden si son quienes no se han sentido discriminados, por lo tanto mejor cambiar las etiquetas para evitar confusiones + +```{r} +casen2022_chi$discrim <- sjlabelled::set_labels(casen2022_chi$r9t, + labels=c( "discriminad@"=0, + "no discriminad@"=1)) +``` + +--- + +```{r} +frq(casen2022_chi$discrim) +``` + +--- +Ahora con la variable educación, recodificar universitario=1 + + +```{r} +casen2022_chi$educ_sup <- rec(casen2022_chi$educacion, rec = "1:12=0;13:15=1",val.labels = c("Menos que universitaria", "Universitaria o más")) +frq(casen2022_chi$educ_sup) +``` + +--- +Veamos ahora una tabla de frecuencias cruzadas + +.pull-left-narrow[ +.small[ +```{r eval=FALSE} +pacman::p_load(sjPlot) +casen2022_chi %>% + sjtab(educ_sup, + discrim) +``` +]] + +.pull-right-wide[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim) +``` +]] + +--- +Para mayor claridad generamos porcentajes por columnas de la tabla (discriminación) + +.pull-left-narrow[ +.small[ +```{r eval=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.col.prc=TRUE) +``` +]] + +.pull-right-wide[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.col.prc=TRUE) +``` +] +] + +--- +Y acá por filas (educación) + +.pull-left-narrow[ +.small[ +```{r eval=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE) +``` +]] + +.pull-right-wide[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE) +``` +] +] + + +--- +.pull-left-narrow[ + +Con ambos porcentajes: +.small[ +```{r eval=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE, + show.col.prc=TRUE + ) +``` +]] + +.pull-right-wide[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE, + show.col.prc=TRUE) +``` +] +] + +--- + +.pull-left-wide[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE, + show.col.prc=TRUE) +``` +] +] + +.pull-right-narrow[ +
    +# ¿Cómo saber si existe asociación o no entre estas variables? +] + +--- +# Prueba de $\chi^2$ + +- La prueba de $\chi^2$ (chi cuadrado) se utiliza para inferencia sobre asociación de variables categóricas en una tabla de contingencia + +-- + +- $\chi^2$ se basa en un **test de diferencia**, donde se compara nuestra tabla de contingencia y una tabla donde no existe asociación entre variables, que representa la hipótesis nula $H_0$ + +-- + +- La lógica detrás es que si nuestra tabla es significativamente distinta de una tabla sin asociación, entonces podemos rechazar la hipóteis nula + +--- + +Para simplificar, pensemos en una muestra más pequeña de 100 casos y además balanceada. + + +| | discriminad@ | no discriminad@ | Total | +|-------------------------|--------------|-----------------|-------| +| Menos que universitaria | | | 50 | +| Universitaria o más | | | 50 | +| Total | 50 | 50 | 100 | + + +.center[ +##_¿Cómo se deberían distribuir los casos en las celdas para constatar que hay (o no) diferencias?_ +] + +--- + +
    + +| | discriminad@ | no discriminad@ | Total | +|-------------------------|--------------|-----------------|-------| +| Menos que universitaria | 50 | 0 | 50 | +| Universitaria o más | 0 | 50 | 50 | +| Total | 50 | 50 | 100 | + +Esta tabla estaría expresando lo esperado por nuestra **hipótesis (alternativa)**: existen diferencias al cruzar estas variables, y por lo tanto hay asociación entre educación y percepción de discriminación + +--- + +Este es el otro extremo: todas las celdas tienen la misma cantidad de casos + +| | discriminad@ | no discriminad@ | Total | +|-------------------------|--------------|-----------------|-------| +| Menos que universitaria | 25 | 25 | 50 | +| Universitaria o más | 25 | 25 | 50 | +| Total | 50 | 50 | 100 | + + + +Esta tabla expresa la **hipótesis nula** $H_0$: no existe asociación entre variables + +--- +# Pasos en el cálculo de $\chi^2$ + +- Generación de tabla de contingencia **observada** en base a nuestros datos + +- Generación de tabla de contingencia **esperada** al azar en base a nuestros datos + +- Establecer la diferencia entre lo observado y lo esperado al azar + +- Establecer si esta diferencia es estadísticamente significativa + + +--- +## Frecuencia esperada al azar en una tabla de contingencia +---- + +| | discriminad@ | no discriminad@ | Total | +|-------------------------|--------------|-----------------|-------| +| Menos que universitaria | a | b | (a+b) | +| Universitaria o más | c | d | (c+d) | +| Total | (a+c) | (b+d) | N | + +--- +Nos enfocamos en la celda **a**, su frecuencia esperada es: + +## $$f_{e_{a}}=\frac{(a+b)(a+c)}{N}$$ + +En base a los datos de nuestro ejemplo de 100 casos: + +$$f_{e_{a}}=\frac{(50)(50)}{100}= \frac{2500}{100}=25$$ + +Por lo tanto, la frecuencia esperada al azar para la celda **a**=25 + +--- +# Sentido general de la prueba de $\chi^2$ + +- La lógica de la prueba de Chi 2 es la comparación de las frecuencias observadas $(f_o)$ en nuestra tabla y de las frecuencias esperadas $(f_e)$ por azar + +- Si nuestra tabla $(f_o)$ se diferencia **significativamente** del azar $(f_e)$, entonces podemos rechazar la hipótesis nula y tenemos evidencia de asociación entre variables + +--- + +.pull-left-narrow[ +$$f_{e_{a}}=\frac{(a+b)(a+c)}{N}$$ +$$f_{e_{b}}=\frac{(a+b)(b+d)}{N}$$ +$$f_{e_{c}}=\frac{(a+c)(c+d)}{N}$$ +$$f_{e_{d}}=\frac{(b+d)(c+d)}{N}$$ +] +.pull-right-wide[ +.small[ +| | discriminad@ | no discriminad@ | Total | +|-------------------------|--------------|-----------------|-------| +| Menos que universitaria | a | b | (a+b) | +| Universitaria o más | c | d | (c+d) | +| Total | (a+c) | (b+d) | N | +] + +## $$\chi^2=\sum\frac{(f_o-f_e)^2}{f_e}$$ + +El valor de Chi2 será mayor en la medida que lo observado sea distinto de los esperado al azar + +] + +--- +Cálculo de frecuencias esperadas para ejemplo con CASEN + +.pull-left[ +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup,discrim) +``` +] +] + +.pull-right[ +.small[ +$$f_{e_{a}}=\frac{168994*33472}{202231}=27970.8$$ +$$f_{e_{b}}=\frac{168994*168759}{202231}=141023.2$$ +$$f_{e_{c}}=\frac{33472*33237}{202231}=5501.2$$ +$$f_{e_{d}}=\frac{168759*33237}{202231}=27735.8$$ +] +] + +--- +En R también es posible obtener las frecuencias esperadas por celda con la función `CrossTable` de la librería `gmodels` + +```{r eval=FALSE} +gmodels::CrossTable(casen2022_chi$educ_sup, + casen2022_chi$discrim, + expected=TRUE, + prop.r = FALSE, + prop.c=FALSE, + prop.chisq = FALSE, + prop.t = FALSE) +``` + + +--- +.small[ +```{r echo=FALSE} +gmodels::CrossTable(casen2022_chi$educ_sup,casen2022_chi$discrim, prop.r = FALSE, prop.c=FALSE, prop.chisq = FALSE, expected=TRUE, prop.t = FALSE) +``` +] + +--- +.small[ +\begin{align*} +\chi^2&=\sum\frac{(f_o-f_e)^2}{f_e} \\ \\ +&=\frac{(26996-27970.8)^2}{27970.8}+\frac{(141998-141023.2)^2}{141023.2}+\frac{(6476-5501.2)^2}{5501.2}+ \frac{(26761-27735.8)^2}{27735.8} \\\\ +&=\frac{(974.8)^2}{27970.8}+\frac{(974,8)^2}{141023.2}+\frac{(-974.8)^2}{5501.2}+ \frac{(-974.8)^2}{27735.8} \\\\ +&=\frac{950235,04}{27970.8}+\frac{950235,04}{141023.2}+\frac{950235,04}{5501.2}+ \frac{950235,04}{27735.8} \\\\ +&=33.97+6.74+172.7+34.3 \\\\ +\end{align*} +] + +# $$\chi^2=247.46$$ + +--- +# Inferencia y $\chi^2$ + +- Tal como en los pasos de la inferencia para pruebas anteriores (como $Z$ y $t$), para realizar la prueba de hipótesis comparamos el valor observado de $\chi^2$ con un valor crítico, que proviene de la distribución $\chi^2$ + +- además de especificar la probabilidad de error $\alpha$, se requiere especificar los **grados de libertad** + +--- +# Grados de libertad en $\chi^2$ + +- Como en la distribución $t$, $\chi^2$ también se ajusta por los grados de libertad, que se obtienen sumando el numero de niveles/categorías -1 de cada variable + +- En nuestro ejemplo de tabla de 2x2 (dos categorías de cada variable), los grados de libertad equivalen a: + +$$gl=(2-1)*(2-1)=1*1=1$$ + +--- + +![](img/chi_dist2.png) + +--- +# Comparación valor crítico y valor estimado + +- $\chi^2$ estimado: **247.46** + +- $\chi^2$ crítico para un $\alpha=0.05$ y 1 grado de libertad: **3.84** + + +- En el ejemplo: **valor estimado $\chi^2$ > valor crítico $\chi^2$** + +- Por lo tanto **se rechaza $H_0$**, podemos decir que hay evidencia de asociación entre percepción de discriminación y nivel educacional con un 95% de confianza + +--- +# $\chi^2$ directamente en R + +La función es `chisq.test()` + + +```{r} +chisq.test(table(casen2022_chi$educ_sup, + casen2022_chi$discrim)) +``` + +--- + +.pull-left-narrow[ +.medium[ +De todas maneras, aparece directamente en varios outputs de tablas de contingencia en R, como la generada antes con `sjtab`, de librería `sjPlot`: + +```{r eval=FALSE} +casen2022_chi %>% + sjtab(educ_sup, + discrim, + show.row.prc=TRUE) +``` +] +] + +.pull-right-wide[ +
    +.small[ +```{r echo=FALSE} +casen2022_chi %>% + sjtab(educ_sup,discrim, + show.row.prc=TRUE) +``` +] +] + +--- +# Resumen: 5 pasos inferencia para tablas cruzadas + +1. Establecer las hipótesis + +2. Calcular frecuencias esperadas + +3. Estimar estadístico de prueba $\chi^2$ + +4. Establecer valor crítico de la prueba (de acuerdo a un cierto nivel de confianza y grados de libertad) + +5. Contraste e interpretación + +--- +class: roja + +# Correlación con variables categóricas + +--- +# Correlación punto biserial + +Es una correlación entre una variable categórica dicotómica y una variable continua + +Toma los mismos valores que la correlación tradicional, donde + +- -1: correlación negativa perfecta +- 0: ausencia de correlación +- +1: correlación positiva perfecta + +--- +# Ejemplo + +Tenemos las siguientes variables: + +```{r} +x <- c(0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0) +y <- c(12, 14, 17, 17, 11, 22, 23, 11, 19, 8, 12) +``` + +Se utilizar la función `cor.test()` para calcular la correlación punto biserial entre las dos variables + +```{r eval=FALSE} +cor.test(x, y) +``` + +--- +```{r} +cor.test(x, y) +``` + +--- +## Del output de R tenemos que: + +- la correlación punto biserial es **0.218**, indicando una relación positiva moderada entre ambas variables + +-- + +- el valor **p** correspondiente es **0.5193**, que no permite rechazar la hipótesis nula con un 95% de confianza ya que el valor p no es menor a 0.05 + +-- + +- como complemento se entrega el intervalo de confianza **[-0.4391885 0.7233704]**, que como vemos contiene el **0**, y por lo tanto con un 95% de confianza no podemos decir que las correlación es distinta de 0 + + +--- +# Resumen general asociación bivariada y niveles de medición + +
    + +| | Intervalar | Ordinal | Nominal | +|------------|------------------|-------------------------------|---------| +| **.black[Intervalar]** | Pearson | | | +| **.black[Ordinal]** | Pearson/Spearman | Spearman | | +| **.black[Nominal]** | Punto-biserial | Spearman/Punto-biserial/Chi 2 | Chi 2 | + + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] diff --git a/slides/09-categoricas.html b/slides/09-categoricas.html new file mode 100644 index 00000000..12720f1a --- /dev/null +++ b/slides/09-categoricas.html @@ -0,0 +1,1196 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-11-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-11-1.png new file mode 100644 index 00000000..0d19ab4f Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-11-1.png differ diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-14-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-14-1.png new file mode 100644 index 00000000..5cdacc57 Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-14-1.png differ diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-25-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-25-1.png new file mode 100644 index 00000000..d0aa103c Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-25-1.png differ diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-28-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-28-1.png new file mode 100644 index 00000000..db40326d Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-28-1.png differ diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-5-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-5-1.png new file mode 100644 index 00000000..6f1bab41 Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-5-1.png differ diff --git a/slides/09-categoricas_files/figure-html/unnamed-chunk-9-1.png b/slides/09-categoricas_files/figure-html/unnamed-chunk-9-1.png new file mode 100644 index 00000000..6c494cc7 Binary files /dev/null and b/slides/09-categoricas_files/figure-html/unnamed-chunk-9-1.png differ diff --git a/slides/09-class.Rmd b/slides/09-class.Rmd deleted file mode 100644 index 7a9fa45b..00000000 --- a/slides/09-class.Rmd +++ /dev/null @@ -1,278 +0,0 @@ ---- -title: "Class 9: Diff-in-diff II" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(ggdag) -library(palmerpenguins) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 9 - -.class-info[ - -**March 9, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-3.medium[General questions] - --- - -.box-7.medium[Final project] - --- - -.box-1.medium[Simple diff-in-diff] - --- - -.box-6.medium[Two-way fixed effects] - --- - -.box-2.medium[Markdown fun] - ---- - -layout: false -name: general-questions -class: center middle section-title section-title-3 animated fadeIn - -# General questions - ---- - -class: middle - -.box-3.large[Should we control for variables
    to close as many backdoors as
    possible in our diff-in-diff model?] - ---- - -class: title title-3 - -# Design-based identification - -.box-inv-3[Use a special situation to isolate arrow] - -.pull-left[ -.box-3[RCTs] - -.box-inv-3.small[Use randomization
    to remove confounding] - -.center[ -
    - RCT DAG -
    -] -] - --- - -.pull-right[ -.box-3[Difference-in-differences] - -.box-inv-3.small[Use before/after & treatment/control
    differences to remove confounding] - -.center[ -
    - Diff-in-diff DAG -
    -] -] - ---- - -layout: true -class: middle - ---- - -.box-3.large[How does moving time back
    let us check for parallel trends?] - ---- - -.center[ -
    - Mastering Metrics Figure 5.4 -
    -] - ---- - -.box-3.large[Can you conduct diff-in-diff
    with a binary outcome?] - -??? - -- -- - ---- - -layout: false -name: final-project -class: center middle section-title section-title-7 animated fadeIn - -# Final project - ---- - -class: middle - -.box-7.large[Tell us more about
    the final project!] - ---- - -layout: false -name: diff-in-diff -class: center middle section-title section-title-1 animated fadeIn - -# Simple diff-in-diff - ---- - -layout: true -class: middle - ---- - -.box-1.large[Minimum legal drinking age] - ---- - -.box-inv-1.medium[MLDA reduction] - -.box-1.medium[Two states: Alabama vs. Arkansas] - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - ---- - -layout: false -name: twfe -class: center middle section-title section-title-6 animated fadeIn - -# Two-way fixed effects
    (TWFE) - ---- - -layout: true -class: middle - ---- - -.box-6.medium[Two states: Alabama vs. Arkansas] - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \beta_3\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - ---- - -.box-6.medium[All states: `Treatment == 1`
    if legal for 18-20-year-olds to drink] - -$$\text{Mortality}\ =\ \beta_0 + \beta_1\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}$$ - ---- - -$$\begin{aligned} -\text{Mortality}\ =&\ \beta_0 + \beta_1\ \text{Alabama} + \beta_2\ \text{After 1975}\ + \\ -&\ \color{red}{\beta_3}\ (\text{Alabama} \times \text{After 1975}) -\end{aligned}$$ - -.center[vs.] - -$$\text{Mortality}\ =\ \beta_0 + \color{red}{\beta_1}\ \text{Treatment} + \beta_2\ \text{State} + \beta_3\ \text{Year}$$ - ---- - -.center[ -
    - Mastering Metrics Table 5.2 -
    -] - ---- - -.box-6.large[What about this
    staggered treatment stuff?] - -.box-inv-6[[See this](https://www.andrewheiss.com/blog/2021/08/25/twfe-diagnostics/)] - -??? - -This is good for ethical reasons! - -Blog post - ---- - -.box-6.large[What are random effects?] - -.box-inv-6[[See this](https://www.andrewheiss.com/blog/2021/12/01/multilevel-models-panel-data-guide/)] - ---- - -layout: false -name: quarto -class: center middle section-title section-title-2 animated fadeIn - -# Bonus fun with
    R Markdown and Quarto - ---- - -layout: true -class: middle - ---- - -.box-2.large.sp-after[Documents] - -.box-2.large[Websites] diff --git a/slides/10-cierre.Rmd b/slides/10-cierre.Rmd new file mode 100644 index 00000000..7f756ed1 --- /dev/null +++ b/slides/10-cierre.Rmd @@ -0,0 +1,255 @@ +--- +title: "Estadística Correlacional" +author: ".small[Juan Carlos Castillo

    Departamento de Sociología - UCH / COES

    ]" +date: "2do Sem 2023" +output: + xaringan::moon_reader: + css: "css/custom_2020.css" + includes: + after_body: "insert-logo.html" + lib_dir: libs + nature: + ratio: '16:9' + highlightStyle: dracula + highlightLines: true + countIncrementalSlides: false + beforeInit: "libs/macros.js" + seal: false # esto omite title slide automática +--- +class: front + + +```{r setup, include=FALSE, cache = FALSE} +library(knitr) +opts_chunk$set(warning=FALSE, + message=FALSE, + echo=TRUE, + comment = "", + cache = TRUE, fig.width=10, fig.height=8) +pacman::p_load(flipbookr, tidyverse, kableExtra) +``` + + +```{r xaringanExtra, include=FALSE} +xaringanExtra::use_xaringan_extra(c("tile_view", "animate_css")) +xaringanExtra::use_scribble() +``` + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https:/correlacional.netlify.com) +] + + +.pull-right-narrow[ +.center[ +.content-block-gray[ +## Sesión 10: +## .orange[Cierre]] +] +] + +--- + +layout: true +class: animated, fadeIn + +--- +# Ciclo de formación en métodos cuantitativos + +![](https://multivariada.netlify.app/slides/01-intro/ciclo.png) + +--- +class: middle + +.pull-left[ +.content-box-red[ +.center[ +# Imaginación sociológica + +Relación del individuo con la sociedad y con la historia + +Individuos en contexto social + +(C.Wright Mills)] +] +] +.pull-right[ +.center[ +.content-box-green[ +# Imaginación estadística + +Una apreciación de que tan usual o inusual es un evento, circunstancia o comportamiento, en relación con un conjunto mayor de eventos similares + +(Ritchey, 2008) +] +]] + +--- + +.pull-left[ +# Estadística: +"Rama de la matemática que utiliza grandes conjuntos de datos numéricos para obtener inferencias basadas en el cálculo de probabilidades". (RAE)] + +-- + +.pull-right[ + +# Dos características: + +- **humildad**: la inferencia siempre posee una probabilidad de error + +- **pretensión**: podemos medir y establecer qué grado de error estamos cometiendo +] + +--- +# Organización general + +.center[ +![](img/plan.png) +] + +--- +# Organización semanal + +![](https://correlacional.netlify.app/files/img/flujo-semanal.png) +--- +Nuestra página +![](img/pagina.png) + + +--- +class: roja + +# Breve resumen + +--- +# Unidad 1: Asociación y correlación + +- correlación: medida estandarizada que va entre -1 y +1, donde 0 significa ausencia de asociación + +- la correlación captura relaciones lineales + +- su magnitud se evalúa mediante criterios de Cohen y coeficiente de determinación + +- existen coeficientes de correlación alternativos para variables ordinales + +- usualmente se presentan en **matrices** + +--- +# Unidad 2: Inferencia + +- de la muestra a la población + +- error estándar y distribuciones muestrales + +- contraste de hipótesis: + - direccionales y no direccionales + - hipótesis alternativa y nula + - comparación de valor estimado y valor crítico según $\alpha$ + - intervalo de confianza + +--- +# Unidad 3: Asociación con categóricas + +- tablas de contingencia + +- Chi cuadrado: frecuencias esperadas y frecuencias observadas + +- Correlación punto biserial + +--- +# Reporte notas + +- link [aquí](https://correlacional.netlify.app/files/reporte_notas/reporte_notas.html) + +--- +class: roja + +# Lo que se viene + + +--- + +# Limitaciones de la asociación + +- no hay **direccionalidad** clara en varias medidas de asociación (ej: correlación), aún cuando la mayor parte de las teorías son direccionales + +- lo bivariado es **limitado** para el análisis de **fenómenos sociales multicausales** + +.center[ +.content-box-red[ +## Los **modelos de regresión** (tema central del próximo curso) buscan superar estas limitaciones +] +] +--- +![](https://multivariada.netlify.app/slides/01-intro/simple.png) + +--- + +![](https://multivariada.netlify.app/slides/01-intro/multiple.png) + +--- +class: inverse + +# Reflexiones finales + +- métodos y error + +- rigurosidad + +- estadísticas y estado + +- disputa de espacios de decisión y poder + +- transparencia y reproducibilidad + + +--- + +# ASISTENCIA + +.pull-left[ + +![:scale 90%](img/qr-correlacional-asistencia.png) +] + +.pull-right[ +
    +
    +
    +
    +
    +bit.ly/correlacional-asistencia +] + + +--- +class: front + +.pull-left-wide[ +# Estadística Correlacional] + +.pull-right-narrow[![:scale 85%](img/logo-correlacional-transp.png)] + +## Asociación, inferencia y reporte + +---- +.pull-left[ + +## Juan Carlos Castillo +## Sociología FACSO - UChile +## 2do Sem 2023 +## [.orange[correlacional.netlify.com]](https://encuestas-sociales.netlify.com) +] diff --git a/slides/10-cierre.html b/slides/10-cierre.html new file mode 100644 index 00000000..f4a1ce05 --- /dev/null +++ b/slides/10-cierre.html @@ -0,0 +1,407 @@ + + + + Estadística Correlacional + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/slides/10-class.Rmd b/slides/10-class.Rmd deleted file mode 100644 index 600133b2..00000000 --- a/slides/10-class.Rmd +++ /dev/null @@ -1,498 +0,0 @@ ---- -title: "Class 10: Regression discontinuity I" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -library(scales) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 10 - -.class-info[ - -**March 23, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-2.medium.sp-after-half[Diff-in-diff effect sizes] - --- - -.box-5.medium.sp-after-half[Miscellaneous R stuff] - --- - -.box-6.medium.sp-after-half[RDD fun times] - ---- - -layout: false -name: ps5 -class: center middle section-title section-title-2 animated fadeIn - -# Diff-in-diff effect sizes - ---- - -layout: true -class: middle - ---- - -.box-2.large[What the heck is happening at
    the end of problem set 5?!] - ---- - -layout: false -name: r-stuff -class: center middle section-title section-title-5 animated fadeIn - -# Miscellaneous R stuff - ---- - -layout: true -class: middle - ---- - -.box-5.large[Searching past code] - -??? - -Use Quarto search thing; use GitHub - ---- - -.box-5.large[Learning with
    the example pages] - -??? - -Copy and paste! Work through the example yourself! Don't just read it. - -Like what I do in - ---- - -.box-5.large[Lines across categories] - -??? - -```r -library(tidyverse) - -mpg - -avg_hwy_by_class <- mpg %>% - filter(cyl != 5) %>% - mutate(cyl = factor(cyl)) %>% - group_by(class, cyl) %>% - summarize(avg = mean(hwy)) - -ggplot(avg_hwy_by_class, aes(x = class, y = avg, color = cyl, group = cyl)) + - geom_point() + - geom_line() - -``` - -```r -terror_trends <- terror %>% - group_by(month, same_block_factor) %>% - summarize(avg_robberies = mean(car_theft)) - -ggplot(terror_trends, aes(x = month, y = avg_robberies, - color = same_block_factor, group = same_block_factor)) + - geom_vline(xintercept = "7") + - geom_line(size = 2) + - theme_bw() + - theme(legend.position = "bottom") -``` - ---- - -layout: false -name: rdd -class: center middle section-title section-title-6 animated fadeIn - -# RDD fun times - ---- - -layout: true -class: middle - ---- - -.box-6.medium[Is there a rule of thumb to determine which
    quasi-experimental method we should use?] - -.box-6.medium[How do we know which method applies
    to which circumstance? Does the data tell us?] - ---- - -.box-6.medium[With RDD we rely on "the rule" to
    determine treatment and control groups] - -.box-6[How do you decide on the rule?
    You mentioned that it's arbitrary—
    we can choose whatever rule we want?] - ---- - -.box-6.medium[Can we use RDD to evaluate a program
    that doesn't have a rule for participation?] - ---- - -.pull-left-narrow[ -
    - Jake Vigdor working paper -
    -] - -.pull-right-wide.small[ -> Teachers in North Carolina Public schools earn a bonus of $750 if the students in their school meet a standard called "expected growth." A summary statistic called "average growth" is computed for each school; the expected growth standard is met when this summary measure exceeds zero. - -> Does getting a bonus in year $t$ cause improved student performance in year $t + 1$? -] - ---- - -.box-6.large[How common are these kinds of rules
    in the real world?] - -??? - -- Anything income-based or means-tested - sliding scale community health clinics, school truancy programs -- Anything with a test: SAT/ACT, AIG programs -- Elections - causal effect of candidates -- Grades - 89.49 vs. 89.51 -- Poverty, EITC - ---- - -.center[ -
    - Goodreads -
    -] - ---- - -.box-6.medium[Where do these eligibility thresholds come from? Do policy makers research them first and reexamine them later?] - ---- - -layout: true -class: title title-6 - ---- - -# Discontinuities everywhere! - -.pull-left-wide.small[ -```{r poverty-table, echo=FALSE} -poverty_line <- tibble::tribble( - ~Size, ~Annual, ~Monthly, ~`138%`, ~`150%`, ~`200%`, - 1, 12760, 1063, 17609, 19140, 25520, - 2, 17240, 1437, 23791, 25860, 34480, - 3, 21720, 1810, 29974, 32580, 43440, - 4, 26200, 2183, 36156, 39300, 52400, - 5, 30680, 2557, 42338, 46020, 61360, - 6, 35160, 2930, 48521, 52740, 70320, - 7, 39640, 3303, 54703, 59460, 79280, - 8, 44120, 3677, 60886, 66180, 88240 -) - -poverty_line %>% - mutate(across(-Size, dollar)) %>% - kbl(align = "c") -``` -] - -.pull-right-narrow[ -.box-inv-6.smaller[**Medicaid**
    138%*] - -.box-inv-6.smaller[**ACA subsidies**
    138–400%*] - -.box-inv-6.smaller[**CHIP**
    200%] - -.box-inv-6.smaller[**SNAP/Free lunch**
    130%] - -.box-inv-6.smaller[**Reduced lunch**
    130–185%] -] - ---- - -# The US's official poverty measure - -.pull-left.center[ -
    - Mollie Orshansky -
    Mollie Orshansky
    -
    -] - -.pull-right[ -.box-inv-6[Formula created in 1963] - -.box-inv-6[Based solely on food expenses from a survey of household budgets in 1955]] - -??? - -- -- - ---- - -# The US's official poverty measure - -.box-inv-6[Official formula:] - --- - -.box-6.medium[**1955 annual food budget × 3**] - --- - -.box-inv-6[That's all!] - -
    - --- - -.box-inv-6[In 1963 poverty line was 50% of median income;
    in 2005 it was 28%; 18% today] - ---- - -layout: true -class: middle - ---- - -.box-6[Why don't we change it?] - -.center[ - -] - ---- - -.center[ -
    - EITC phase out -
    -] - ---- - -.center[ -
    - CTC phase out -
    -] - ---- - -.box-6.medium[Why does the cutoff need
    to be unique to the
    program of interest?] - -??? - -In theory, to take care of confounding. If the same cutoff is used for two different programs, and you're evaluating one, and the other isn't automatic, peoples' use of the second program would influence their outcomes in the first one. - ---- - -.box-6.medium[What if there are multiple cutoffs?] - -.box-inv-6[College admission is based on GPA *and* test scores…] - -.box-inv-6[WIC/SNAP/Medicaid are based on income *and* family size…] - ---- - -.pull-left[ -
    - One running variable -
    -] - --- - -.pull-left[ -
    - Multiple running variables -
    -] - ---- - -.box-6.large[Why do we center
    the running variable?] - ---- - -.box-6.large[Regression is just fancy averages!] - ---- - -```{r tutoring-plot, echo=FALSE, fig.width=8, fig.height=4.25, out.width="100%"} -library(tidyverse) -library(broom) - -tutoring <- read_csv("data/tutoring_program.csv") - -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam)) + - geom_point(size = 1, alpha = 0.5) + - # x - geom_smooth(data = filter(tutoring, entrance_exam <= 70, entrance_exam >= 60), - method = "lm", se = FALSE, size = 2) + - geom_smooth(data = filter(tutoring, entrance_exam > 70, entrance_exam <= 80), - method = "lm", se = FALSE, size = 2) + - coord_cartesian(xlim = c(60, 80)) + - geom_vline(xintercept = 70) + - labs(x = "Entrance exam score", y = "Exit exam score", color = "Used tutoring") -``` - ---- - -```{r} -lm(exit_exam ~ entrance_exam + tutoring, - data = filter(tutoring, entrance_exam <= 80, - entrance_exam >= 60)) %>% - tidy() -``` - ---- - -```{r} -tutoring_centered <- tutoring %>% - mutate(entrance_centered = entrance_exam - 70) - -lm(exit_exam ~ entrance_centered + tutoring, - data = filter(tutoring_centered, entrance_exam <= 80, - entrance_exam >= 60)) %>% - tidy() -``` - ---- - -```{r tutoring-plot-3, echo=FALSE, fig.width=8, fig.height=4.25, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam)) + - geom_point(size = 1, alpha = 0.5) + - # x - geom_smooth(data = filter(tutoring, entrance_exam <= 70, entrance_exam >= 60), - method = "lm", se = FALSE, size = 2, aes(color = "x")) + - geom_smooth(data = filter(tutoring, entrance_exam > 70, entrance_exam <= 80), - method = "lm", se = FALSE, size = 2, aes(color = "x")) + - # x^3 - geom_smooth(data = filter(tutoring, entrance_exam <= 70, entrance_exam >= 60), - method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 2, aes(color = "x^3")) + - geom_smooth(data = filter(tutoring, entrance_exam > 70, entrance_exam <= 80), - method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 2, aes(color = "x^3")) + - coord_cartesian(xlim = c(60, 80)) + - geom_vline(xintercept = 70) + - labs(x = "Entrance exam score", y = "Exit exam score", color = "Used tutoring") -``` - ---- - -.box-6.large[What's the difference between weighting with kernels and inverse probability weighting?] - -??? - -- -- -- - ---- - -.box-6.medium[There must be some math behind for the non-parametric lines. Should we care about that or should we just trust in R?] - -??? - -- - ---- - -.box-6.medium[Should we control for confounders?] - ---- - -.box-6.medium[How do we decide on the right model?] - -.center[ - -Parametric with $y = x$? - -With $y = x^2 + x$? - -With $y = x^\text{whatever} + x^\text{whatever} + x$? - -Nonparametric? - -`rdrobust()` or just `lm()`? - -Controls or no controls? - -] - ---- - -.box-6.medium[How do you justify a bandwidth?] - -.box-6.medium[Does the bandwidth need to be
    the same on both sides?] - ---- - -.box-6.less-medium[How should we think about the impact of the program on people who score really high or low on the running variable?] - -.box-6.less-medium[If we're throwing most of the data away and only looking at a narrow bandwidth of people, what does this say about generalizability?] - ---- - -.box-6.medium[What do we do about noncompliance
    and manipulation?] - -.box-6.medium[What is fuzzy regression discontinuity?] - ---- - -.box-6.huge[RD play time!] diff --git a/slides/10-slides.Rmd b/slides/10-slides.Rmd deleted file mode 100644 index 3afa923e..00000000 --- a/slides/10-slides.Rmd +++ /dev/null @@ -1,1609 +0,0 @@ ---- -title: "Regression discontinuity I" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(broom) -library(ggdag) -library(kableExtra) -library(scales) -library(patchwork) -library(latex2exp) -library(rdrobust) -library(rddensity) - -# Fake program data -set.seed(1234) -num_students <- 1000 -tutoring <- tibble( - id = 1:num_students, - entrance_exam = rbeta(num_students, shape1 = 7, shape2 = 2), - exit_exam = rbeta(num_students, shape1 = 5, shape2 = 3) -) %>% - mutate(entrance_exam = entrance_exam * 100, - tutoring = entrance_exam <= 70) %>% - mutate(exit_exam = exit_exam * 40 + 10 * tutoring + entrance_exam / 2) %>% - mutate(tutoring_fuzzy = ifelse(entrance_exam > 60 & entrance_exam < 80, - sample(c(TRUE, FALSE), n(), replace = TRUE), - tutoring)) %>% - mutate(tutoring_text = factor(tutoring, levels = c(FALSE, TRUE), - labels = c("No tutor", "Tutor")), - tutoring_fuzzy_text = factor(tutoring_fuzzy, levels = c(FALSE, TRUE), - labels = c("No tutor", "Tutor"))) %>% - mutate(entrance_centered = entrance_exam - 70) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Regression discontinuity I - -.class-info[ - -**Session 10** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-2.medium.sp-after-half[Arbitrary cutoffs and causal inference] - --- - -.box-4.medium.sp-after-half[Drawing lines and measuring gaps] - --- - -.box-6.medium.sp-after-half[Main RDD concerns] - ---- - -name: arbitrary-cutoffs -class: center middle section-title section-title-2 animated fadeIn - -# Arbitrary cutoffs
    and causal inference - ---- - -layout: true -class: title title-2 - ---- - -# Quasi-experiments again - --- - -.box-inv-2.sp-after[Instead of using carefully adjusted DAGs,
    we can use *context* to isolate/identify the pathway between
    treatment and outcome in observational data] - --- - -.box-inv-2[Diff-in-diff was one kind of quasi-experiment] - -.box-2.sp-after[Treatment/control + before/after] - --- - -.box-inv-2[Regression discontinuity designs (RDD) are another] - -.box-2[Arbitrary rules determine access to programs] - ---- - -# Rules to access programs - -.box-inv-2.medium[Lots of policies and programs are
    based on arbitrary rules and thresholds] - --- - -.box-2[If you're above the threshold, you're in the program;
    if you're below, you're not (or vice versa)] - ---- - -# Key terms - --- - -.box-inv-2.medium[Running / forcing variable] - -.box-2.sp-after[Index or measure that determines eligibility] - --- - -.box-inv-2.medium[Cutoff / cutpoint / threshold] - -.box-2[Number that formally assigns access to program] - ---- - -layout: false - -```{r rd-dag, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -node_details <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "Program", 1, 1, - "outcome", "Outcome", 4, 1, - "cutoff", "Above cutoff", 2, 1.75, - "running", "Running variable", 3, 2 -) - -node_labels <- node_details$label -names(node_labels) <- node_details$name - -rdd_dag <- dagify(outcome ~ treatment + running, - treatment ~ cutoff, - cutoff ~ running, - exposure = c("treatment", "cutoff"), - outcome = "outcome", - coords = node_details, - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() - -status_colors <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "grey50") - -set.seed(1234) -ggplot(rdd_dag, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 10, - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(2.5, "lines"), - direction = "y") + - scale_color_manual(values = status_colors, na.value = "grey20") + - scale_fill_manual(values = status_colors, na.value = "grey20") + - guides(color = FALSE, fill = FALSE) + - theme_dag(base_size = 20, base_family = "Fira Sans Condensed") -``` - ---- - -layout: true -class: title title-2 - ---- - -# Discontinuities everywhere! - -.pull-left-wide.small[ -```{r poverty-table, echo=FALSE} -poverty_line <- tibble::tribble( - ~Size, ~Annual, ~Monthly, ~`138%`, ~`150%`, ~`200%`, - 1, 12760, 1063, 17609, 19140, 25520, - 2, 17240, 1437, 23791, 25860, 34480, - 3, 21720, 1810, 29974, 32580, 43440, - 4, 26200, 2183, 36156, 39300, 52400, - 5, 30680, 2557, 42338, 46020, 61360, - 6, 35160, 2930, 48521, 52740, 70320, - 7, 39640, 3303, 54703, 59460, 79280, - 8, 44120, 3677, 60886, 66180, 88240 -) - -poverty_line %>% - mutate(across(-Size, dollar)) %>% - kbl(align = "c") -``` -] - -.pull-right-narrow[ -.box-inv-2.smaller[**Medicaid**
    138%*] - -.box-inv-2.smaller[**ACA subsidies**
    138–400%*] - -.box-inv-2.smaller[**CHIP**
    200%] - -.box-inv-2.smaller[**SNAP/Free lunch**
    130%] - -.box-inv-2.smaller[**Reduced lunch**
    130–185%] -] - - ---- - -# Hypothetical tutoring program - --- - -.box-inv-2.medium[Students take an entrance exam] - --- - -.box-inv-2.medium[Those who score 70 or lower
    get a free tutor for the year] - --- - -.box-inv-2.medium[Students then take an exit exam
    at the end of the year] - ---- - -layout: false - -```{r tutoring-running, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, fill = tutoring_text)) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL) + - guides(fill = FALSE) + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -class: title title-2 - -# Causal inference intuition - -.box-inv-2.medium[The people right before and right after the threshold are essentially the same] - ---- - -```{r tutoring-running-threshold, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, fill = tutoring_text)) + - annotate(geom = "rect", fill = "grey50", alpha = 0.25, ymin = -Inf, ymax = Inf, - xmin = 70 - 5, xmax = 70 + 5) + - annotate(geom = "rect", fill = "grey50", alpha = 0.5, ymin = -Inf, ymax = Inf, - xmin = 70 - 2, xmax = 70 + 2) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL) + - guides(fill = FALSE) + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -```{r tutoring-running-threshold-zoomed, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, fill = tutoring_text)) + - annotate(geom = "rect", fill = "grey50", alpha = 0.25, ymin = -Inf, ymax = Inf, - xmin = 70 - 5, xmax = 70 + 5) + - annotate(geom = "rect", fill = "grey50", alpha = 0.5, ymin = -Inf, ymax = Inf, - xmin = 70 - 2, xmax = 70 + 2) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL) + - guides(fill = FALSE) + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - coord_cartesian(xlim = c(70 - 6, 70 + 6)) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -class: title title-2 - -# Causal inference intuition - --- - -.box-inv-2.medium[The people right before and right after the threshold are essentially the same] - --- - -.box-2.medium[Pseudo treatment and control groups!] - --- - -.box-inv-2.medium[Compare outcomes for those
    right before/after, calculate difference] - ---- - -```{r tutoring-outcome, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, fill = tutoring_text)) + - geom_point(size = 4, pch = 21, color = "white", alpha = 1) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - labs(x = "Entrance exam score", y = "Exit exam score") + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - guides(fill = guide_legend(reverse = TRUE)) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -```{r tutoring-outcome-lines, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, fill = tutoring_text, color = tutoring_text)) + - geom_point(size = 4, pch = 21, color = "white", alpha = 0.25) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_smooth(data = filter(tutoring, entrance_exam <= 70), - method = "lm", size = 2, show.legend = FALSE) + - geom_smooth(data = filter(tutoring, entrance_exam > 70), - method = "lm", size = 2, show.legend = FALSE) + - labs(x = "Entrance exam score", y = "Exit exam score") + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - scale_color_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE, override.aes = list(alpha = 1)), color = FALSE) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -```{r tutoring-outcome-delta, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -rdd_tutoring <- lm(exit_exam ~ entrance_centered + tutoring, data = tutoring) %>% - tidy() - -effect_control <- filter(rdd_tutoring, term == "(Intercept)")$estimate -late <- filter(rdd_tutoring, term == "tutoringTRUE")$estimate -effect_treatment <- effect_control + late - -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, fill = tutoring_text, color = tutoring_text)) + - geom_point(size = 4, pch = 21, color = "white", alpha = 0.25) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_smooth(data = filter(tutoring, entrance_exam <= 70), - method = "lm", size = 2, show.legend = FALSE) + - geom_smooth(data = filter(tutoring, entrance_exam > 70), - method = "lm", size = 2, show.legend = FALSE) + - annotate(geom = "segment", x = 70, xend = 70, - y = effect_control, yend = effect_treatment, - size = 4, color = "#FF4136") + - annotate(geom = "label", x = 82, y = effect_treatment - (late / 2), - label = "δ\n(causal effect)", family = "Fira Sans Condensed", fontface = "bold", - color = "white", fill = "#FF4136", size = 7, label.padding = unit(0.75, "lines")) + - labs(x = "Entrance exam score", y = "Exit exam score") + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - scale_color_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE, override.aes = list(alpha = 1)), color = FALSE) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -```{r tutoring-outcome-delta-zoomed, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, fill = tutoring_text, color = tutoring_text)) + - geom_point(size = 4, pch = 21, color = "white", alpha = 0.25) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_smooth(data = filter(tutoring, entrance_exam <= 70), - method = "lm", size = 2, show.legend = FALSE) + - geom_smooth(data = filter(tutoring, entrance_exam > 70), - method = "lm", size = 2, show.legend = FALSE) + - annotate(geom = "segment", x = 70, xend = 70, - y = effect_control, yend = effect_treatment, - size = 4, color = "#FF4136") + - labs(x = "Entrance exam score", y = "Exit exam score") + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - scale_color_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE, override.aes = list(alpha = 1)), color = FALSE) + - coord_cartesian(xlim = c(70 - 6, 70 + 6)) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` - ---- - -layout: true -class: title title-2 - ---- - -# Geographic discontinuities - -.center[ -
    - Holbein time zones -
    -] - ---- - -# Geographic discontinuities - -.pull-left-wide.center[ -
    - Holbein time zones -
    -] - -.pull-right-narrow[ -.box-inv-2[Lower turnout in counties on the eastern side of the boundary] - -.box-inv-2[Election schedules cause fluctuations in turnout] -] - ---- - -# Time discontinuities - -.pull-left-wide.center[ -
    - Hospital stays title -
    -] - -.pull-right-narrow[ -.box-inv-2[California requires that insurance cover two days of post-partum hospitalization] - -.box-inv-2[Does extra time in the hospital improve health outcomes?] -] - ---- - -# Time discontinuities - -.center[ -
    - Hospital stays duration -
    -] - -.box-inv-2[Delivering at 12:01 AM makes you stay longer in the hospital…] - ---- - - -# Time discontinuities - -.pull-left-wide.center[ -
    - Hospital stays outcomes -
    -] - -.pull-right-narrow[ -  - -.box-inv-2[…but delivering at 12:01 AM has no effect on readmission rates or mortality rates] -] - ---- - -# Test score discontinuities - -.pull-left-wide.center[ -
    - Flagship universities -
    -] - -.pull-right-narrow[ -.box-inv-2[Does going to the main state university (e.g. UGA) make you earn more money?] - -.box-inv-2[SAT scores are an arbitrary cutoff for accessing the university] -] - ---- - -# Test score discontinuities - -.pull-left.center[ -
    - Flagship cutoff -
    - -.box-inv-2[Cutoff seems rule-based] -] - --- - -.pull-right.center[ -
    - Flagship outcome -
    - -.box-inv-2[Earnings are slightly higher] -] - ---- - -# RDDs are all the rage - -.box-inv-2.medium[People love these things!] - --- - -.box-2[They're intuitive, compelling, and highly graphical] - --- - -.pull-left.center[ -
    - RDD p-hacking -
    -] - -.pull-right[ -.box-2[RDD less susceptible to p-hacking and selective publication than DID or IV] -] - ---- - -layout: false -name: lines-gaps -class: center middle section-title section-title-4 animated fadeIn - -# Drawing lines
    and measuring gaps - ---- - -class: title title-4 - -# Main goal of RD - --- - -.box-inv-4.medium[Measure the gap in outcome for
    people on both sides of the cutpoint] - --- - -.box-inv-4.medium[Gap = **δ** =
    local average treatment effect (LATE)] - ---- - -![](`r knitr::fig_chunk("tutoring-outcome-delta", "png")`) - ---- - -layout: true -class: title title-4 - ---- - -# Drawing lines - --- - -.box-inv-4.medium[The size of the gap depends on how
    you draw the lines on each side of the cutoff] - --- - -.box-inv-4.medium.sp-after[The type of lines you choose can
    change the estimate of δ—sometimes by a lot!] - --- - -.box-4.medium[There's no one right way to draw lines!] - ---- - -# Line-drawing considerations - --- - -.box-inv-4.medium[Parametric vs. non-parametric lines] - --- - -.box-inv-4.medium[Measuring the gap] - --- - -.box-inv-4.medium[Bandwidths] - --- - -.box-inv-4.medium[Kernels] - ---- - -# Parametric lines - -.box-inv-4.medium[Formulas with *parameters*] - --- - -.medium[ -$$y = mx + b$$ - -$$y = \beta_0 + \beta_1 x_1 + \beta_2 x_2$$ -] - ---- - -layout: false - -```{r parameters-stuff, echo=FALSE} -line_colors_df <- tribble( - ~name, ~color, ~formula, - "Linear", "#0074D9", "y = β_1 x", - "Squared", "#FF851B", "y = β_1 x + β_2 x^2", - "Cubed", "#FF4136", "y = β_1 x + β_2 x^2 + β_3 x^3", - "Trigonometric", "#2ECC40", "y = β_1 x + β_2 sin(x)", - "Loess", "#B10DC9", "Loess" -) - -line_colors <- line_colors_df$color %>% - set_names(line_colors_df$name) - -fun_linear <- function(x) 10 + 4 * x -fun_squared <- function(x) 120 - 3 * x + 0.07 * x^2 -fun_cubic <- function(x) 300 - 25 * x + 0.65 * x^2 - 0.004 * x^3 -fun_trig <- function(x) 10 + 4 * x + 50 * sin(0.25 * x) -fun_trig_effect <- function(x) ifelse(x >= 75, fun_trig(x) + 200, fun_trig(x)) -fun_loess <- function(x) 100 + 30 * sin(5 * x) + 0.2 * x^2 - 0.002 * x^3 - -set.seed(1234) -df_params <- tibble(id = 1:400) %>% - mutate(x_uniform = runif(n(), min = 0, max = 100)) %>% - mutate(y_linear = fun_linear(x_uniform) + rnorm(n(), 0, 50)) %>% - mutate(y_squared = fun_squared(x_uniform) + rnorm(n(), 0, 50)) %>% - mutate(y_cubed = fun_cubic(x_uniform) + rnorm(n(), 0, 50)) %>% - mutate(y_trig = fun_trig(x_uniform) + rnorm(n(), 0, 50)) %>% - mutate(y_loess = fun_loess(x_uniform) + rnorm(n(), 0, 50)) %>% - mutate_at(vars(starts_with("y_")), - list(effect = ~ifelse(x_uniform >= 75, . + 200, .))) -``` - -.small[ -$$y = 10 + 4x$$ -] - -```{r params-plot-linear, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_linear)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-4 - -# Parametric lines - -.box-inv-4.medium[Not just for straight lines!
    Make curvy with exponents or trigonometry] - --- - -.medium[ -$$y = \beta_0 + \beta_1 x + \beta_2 x^2 + \beta_3 x^7$$ - -$$y = \beta_0 + \beta_1 x + \beta_2 \sin(x)$$ -] - ---- - -.small[ -$$y = 120 - 3x + 0.07x^2$$ -] - -```{r params-plot-square, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_squared)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.small[ -$$y = 300 - 25x + 0.65x^2 - 0.004x^3$$ -] - -```{r params-plot-poly, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_cubed)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 3, aes(color = "Cubed")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.small[ -$$y = 10 + 4x + 50 \times \sin (\frac{x}{4})$$ -] - -```{r params-plot-trig, echo=FALSE, fig.width=12, fig.height=5.25, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_trig)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - stat_function(fun = fun_trig, size = 3, aes(color = "Trigonometric")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-4 - -# Parametric lines - -  - --- - -.box-inv-4.medium.sp-after[It's important to get the parameters right!] - --- - -.box-inv-4.medium[Line should fit the data pretty well] - ---- - -```{r params-plot-linear-squared, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_squared)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - geom_smooth(method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -```{r params-plot-linear-poly, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_cubed)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - geom_smooth(method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - geom_smooth(method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 3, aes(color = "Cubed")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -class: title title-4 - -# Nonparametric lines - --- - -.box-inv-4.medium[Lines without parameters] - --- - -.box-4[Use the data to find the best line,
    often with windows and moving averages] - --- - -.box-4[Locally estimated/weighted scatterplot smoothing (LOESS/LOWESS)
    is a common method (but not the only one!)] - ---- - -.small[ -$$y = \text{who knows?}$$ -] - -```{r params-plot-loess, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_loess)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "loess", formula = y ~ x, aes(color = "Loess"), - se = FALSE, size = 3) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -.center[ - -] - ---- - -```{r params-plot-loess-lines, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_loess)) + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(method = "loess", formula = y ~ x, aes(color = "Loess"), - se = FALSE, size = 3) + - geom_smooth(method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - geom_smooth(method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -layout: true -class: title title-4 - ---- - -# Measuring gap with parametric lines - -.center[ -
    - Parametric gap -
    -] - ---- - -# Measuring gap with parametric lines - -.box-inv-4[Easiest way: center the running variable around the threshold] - -.small[ -```{r center-running-var, echo=FALSE} -tutoring %>% - select(id, exit_exam, entrance_exam, entrance_centered, tutoring) %>% - mutate(across(c(exit_exam, entrance_exam, entrance_centered), ~round(., 0))) %>% - head(5) %>% - kbl(align = "c") -``` -] - -.small[ -$$y = \beta_0 + \beta_1 \text{Running variable (centered)} + \beta_2 \text{Indicator for treatment}$$ -] - ---- - -# Measuring gap with parametric lines - -.center[ -
    - Parametric gap -
    -] - -.left-code[ -```{r simple-model} -program_data <- tutoring %>% - mutate(entrance_centered = - entrance_exam - 70) - -model1 <- lm(exit_exam ~ - entrance_centered + tutoring, - data = program_data) -``` -] - -.right-code[ -```{r show-simple-model-fake, eval=FALSE} -tidy(model1) -``` - -```{r show-simple-model-real, echo=FALSE} -tidy(model1) %>% select(term, estimate, std.error) -``` -] - ---- - -# Measuring gap with nonparametric lines - -.center[ -```{r tutoring-outcome-loess, echo=FALSE, fig.width=12, fig.height=5.5, out.width="80%"} -ggplot(tutoring, aes(x = entrance_exam, y = exit_exam, fill = tutoring_text, color = tutoring_text)) + - geom_point(size = 4, pch = 21, color = "white", alpha = 0.25) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_smooth(data = filter(tutoring, entrance_exam <= 70), - method = "loess", size = 2, show.legend = FALSE) + - geom_smooth(data = filter(tutoring, entrance_exam > 70), - method = "loess", size = 2, show.legend = FALSE) + - labs(x = "Entrance exam score", y = "Exit exam score") + - scale_fill_manual(values = c("#85144b", "#0074D9"), name = NULL) + - scale_color_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE, override.aes = list(alpha = 1)), color = FALSE) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") -``` -] - -.box-inv-4[Can't use regression; use `rdrobust` R package] - ---- - -# Measuring gap with nonparametric lines - -.center[ -
    - Nonparametric gap -
    -] - -.small-code[ -```{r rdrobust, eval=FALSE} -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, c = 70) -``` -] - -.small-code[ -```{r calculate-rdrobust, echo=FALSE, results="hide"} -rd_out <- rdrobust(y = tutoring$exit_exam, - x = tutoring$entrance_exam, - c = 70) - -x <- capture.output(summary(rd_out)) -``` - -```{r show-rdrobust, echo=FALSE} -cat(x[17:22], sep = "\n") -``` -] - ---- - -# Bandwidths - --- - -.box-inv-4.medium[All you really care about is the
    area right around the cutoff] - -.box-4.sp-after[Observations far away don't matter
    because they're not comparable] - --- - -.box-inv-4.medium[Bandwidth = window around cutoff] - ---- - -layout: false - -```{r bandwidth-plot-data, echo=FALSE} -bw_line_colors_df <- tribble( - ~name, ~color, - "Linear", "#0074D9", - "Linear (bw = 5)", colorspace::darken("#0074D9", 0.5), - "Linear (bw = 2.5)", colorspace::darken("#0074D9", 1), - "Loess", "#B10DC9" -) - -bw_line_colors <- bw_line_colors_df$color %>% - set_names(bw_line_colors_df$name) - -set.seed(1234) -df_bandwidths <- tibble(x = seq(0, 20, by = 0.01), - y_squiggly = 500 + 0.4 * (x - 10)^3) %>% - mutate(y_squiggly = y_squiggly + rnorm(n(), 10, 80)) %>% - mutate(y_shifted = ifelse(x >= 10, y_squiggly + 300, y_squiggly)) %>% - mutate(bw5 = x < 10 + 5 & x > 10 - 5, - bw2_5 = x < 10 + 2.5 & x > 10 - 2.5) -``` - -```{r bandwidth-plots, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -plot_bw5 <- ggplot(df_bandwidths, aes(x = x, y = y_shifted)) + - annotate(geom = "rect", fill = "grey70", alpha = 0.25, ymin = -Inf, ymax = Inf, - xmin = 10 - 5, xmax = 10 + 5) + - geom_point(aes(fill = bw5), size = 3, pch = 21, alpha = 0.5, color = "white") + - geom_vline(xintercept = 10) + - scale_fill_manual(values = c("grey40", "#FF851B"), guide = FALSE) + - labs(x = NULL, y = NULL, title = "Bandwidth = 5") + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(plot.title = element_text(face = "bold")) - -plot_bw25 <- ggplot(df_bandwidths, aes(x = x, y = y_shifted)) + - annotate(geom = "rect", fill = "grey70", alpha = 0.25, ymin = -Inf, ymax = Inf, - xmin = 10 - 2.5, xmax = 10 + 2.5) + - geom_point(aes(fill = bw2_5), size = 3, pch = 21, alpha = 0.5, color = "white") + - geom_vline(xintercept = 10) + - scale_fill_manual(values = c("grey40", "#FF851B"), guide = FALSE) + - labs(x = NULL, y = NULL, title = "Bandwidth = 2.5") + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(plot.title = element_text(face = "bold")) - -plot_bw5 + plot_bw25 -``` - - - ---- - -layout: true -class: title title-4 - ---- - -# Bandwidths - --- - -.box-inv-4.medium.sp-after[Algorithms exist to choose optimal width] - --- - -.box-inv-4.medium[Also use common sense] - -.box-4.sp-after[Maybe ±5 for the entrance exam?] - --- - -.box-inv-4.medium[For robustness, check what happens
    if you double and halve the bandwidth] - ---- - -# Kernels - --- - -.box-inv-4.medium[Because we care the most about
    observations right by the cutoff,
    give more distant ones less weight] - --- - -.box-inv-4.medium[Kernel = method for assigning importance to
    observations based on distance to the cutoff] - ---- - -layout: false - -```{r kernel-examples, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -# Formulas from https://en.wikipedia.org/wiki/Kernel_(statistics) -rec <- function(x) (abs(x) <= 1) * 0.5 -tri <- function(x) (abs(x) < 1) * (1 - abs(x)) -epan <- function(x) (abs(x) < 1) * 0.75 * (1 - x^2) - -ggplot(data = tibble(x = seq(-1.25, 1.25, 0.1)), aes(x = x)) + - geom_vline(xintercept = 0, size = 1, color = "grey40") + - stat_function(fun = rec, aes(color = "Uniform"), size = 3) + - stat_function(fun = tri, aes(color = "Triangular"), size = 3) + - stat_function(fun = epan, aes(color = "Epanechnikov"), size = 3) + - scale_color_manual(values = c("Uniform" = "#FF851B", - "Triangular" = "#0074D9", - "Epanechnikov" = "#85144b"), - breaks = c("Uniform", "Triangular", "Epanechnikov")) + - labs(x = "Distance from cutoff", y = "Weight", color = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - panel.grid = element_blank()) + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 1, b = 0, unit = "lines")) -``` - ---- - -```{r kernel-weighted-points, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -set.seed(1234) -df_kernels <- tibble(x = runif(100, -1, 1), - y = runif(100, 0, 100)) %>% - mutate(y = ifelse(x > 0, y + 50, y)) %>% - mutate(wt_rec = rec(x), - wt_tri = tri(x), - wt_epan = epan(x)) - -df_kernels_long <- df_kernels %>% - pivot_longer(cols = starts_with("wt_"), values_to = "weight") %>% - mutate(name = recode(name, wt_epan = "Epanechnikov", - wt_tri = "Triangular", - wt_rec = "Rectangular")) %>% - mutate(name = fct_inorder(name)) - -ggplot(df_kernels_long, aes(x = x, y = y)) + - geom_point(aes(size = weight, fill = weight), pch = 21, color = "white", alpha = 0.8) + - geom_vline(xintercept = 0) + - scale_size_continuous(range = c(2, 10)) + - scale_fill_viridis_c(option = "plasma", name = "Weight ", limits = c(0, 1)) + - guides(size = FALSE, fill = guide_colorbar(barwidth = 20)) + - facet_wrap(vars(name)) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom", - panel.grid = element_blank(), - axis.text = element_blank(), - axis.ticks = element_blank()) + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0.5, b = 0, unit = "lines")) -``` - - ---- - -class: title title-4 - -# Try everything! - --- - -.box-inv-4.medium[Your estimate of δ depends on all these:] - --- - -.box-inv-4[Line type (parametric vs. nonparametric)] - -.center[ -.float-left[.box-inv-4[Bandwidth (wide vs. narrow)] .box-inv-4[Kernel weighting]] -] - --- - -  - -.box-4.medium[Try lots of different combinations!] - ---- - -```{r params-plot-parametric-effects, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(df_params, aes(x = x_uniform, y = y_cubed_effect)) + - geom_vline(xintercept = 75, size = 1, linetype = "21") + - geom_point(size = 5, pch = 21, color = "white", fill = "black", alpha = 0.5) + - geom_smooth(data = filter(df_params, x_uniform < 75), - method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - geom_smooth(data = filter(df_params, x_uniform >= 75), - method = "lm", formula = y ~ x, - se = FALSE, size = 3, aes(color = "Linear")) + - geom_smooth(data = filter(df_params, x_uniform < 75), - method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - geom_smooth(data = filter(df_params, x_uniform >= 75), - method = "lm", formula = y ~ poly(x, 2), - se = FALSE, size = 3, aes(color = "Squared")) + - geom_smooth(data = filter(df_params, x_uniform < 75), - method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 3, aes(color = "Cubed")) + - geom_smooth(data = filter(df_params, x_uniform >= 75), - method = "lm", formula = y ~ poly(x, 3), - se = FALSE, size = 3, aes(color = "Cubed")) + - scale_color_manual(values = line_colors, breaks = names(line_colors), - labels = map(line_colors_df$formula, TeX), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -```{r params-plot-bw-effects, echo=FALSE, fig.width=12, fig.height=6.5, out.width="100%"} -ggplot(df_bandwidths, aes(x = x, y = y_shifted)) + - annotate(geom = "rect", fill = "grey70", alpha = 0.25, ymin = -Inf, ymax = Inf, - xmin = 10 - 5, xmax = 10 + 5) + - geom_point(size = 3, pch = 21, alpha = 0.25, color = "white", fill = "black") + - geom_vline(xintercept = 10) + - geom_smooth(data = filter(df_bandwidths, x < 10), - method = "lm", formula = y ~ x, - size = 3, se = FALSE, aes(color = "Linear")) + - geom_smooth(data = filter(df_bandwidths, x >= 10), - method = "lm", formula = y ~ x, - size = 3, se = FALSE, aes(color = "Linear")) + - geom_smooth(data = filter(df_bandwidths, x < 10 & x > 5), - method = "lm", formula = y ~ x, - size = 3, se = FALSE, aes(color = "Linear (bw = 5)")) + - geom_smooth(data = filter(df_bandwidths, x >= 10 & x < 15), - method = "lm", formula = y ~ x, - size = 3, se = FALSE, aes(color = "Linear (bw = 5)")) + - scale_color_manual(values = bw_line_colors, breaks = names(bw_line_colors), name = NULL) + - labs(x = NULL, y = NULL) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 0, b = 0)) -``` - ---- - -layout: false -name: main-concerns -class: center middle section-title section-title-6 animated fadeIn - -# Main RDD concerns - ---- - -layout: true -class: title title-6 - ---- - -# It's greedy! - -.box-inv-6.medium[You need *lots* of data,
    since you're throwing most of it away] - -.center[ -
    - Different bandwidths -
    -] - ---- - -# It's limited in scope! - -.box-inv-6.medium[You're only measuring the ATE
    for people in the bandwidth] - --- - -.box-6.medium[Local Average Treatment Effect (LATE)] - ---- - -# It's limited in scope! - -.box-inv-6.medium[You can't make population-level
    claims with a LATE] - --- - -.box-inv-6.smaller[*(But can you really do that with RCTs or diff-in-diff?)*] - --- - -.box-6.medium["The realistic conclusion to draw is that
    all quantitative empirical results
    that we encounter are 'local'"] - -.box-6.small[Angrist and Pischke, *Mostly Harmless Econometrics*, pp. 23–24] - ---- - -# Graphics are neat! - -```{r too-graphical-data, echo=FALSE, include=FALSE, cache=TRUE} -set.seed(1234) -too_graphical <- tibble(id = 1:2000) %>% - mutate(score = runif(n(), -100, 100)) %>% - mutate(treatment_big = ifelse(score < 0, 0, 0.6)) %>% - mutate(outcome_big = treatment_big + rnorm(n())) %>% - mutate(treatment_medium = ifelse(score < 0, 0, 0.3)) %>% - mutate(outcome_medium = treatment_medium + rnorm(n())) %>% - mutate(treatment_small = ifelse(score < 0, 0, 0.155)) %>% - mutate(outcome_small = treatment_small + rnorm(n())) %>% - mutate(above = score >= 0) %>% - mutate_at(vars(starts_with("outcome_")), list(~. * 100)) - -model_big <- lm(outcome_big ~ above, data = too_graphical) -model_medium <- lm(outcome_medium ~ above, data = too_graphical) -model_small <- lm(outcome_small ~ above, data = too_graphical) - -extract_t_p <- function(x) { - tidied <- tidy(x) %>% - filter(term == "aboveTRUE") - - paste0("δ = ", round(tidied$estimate, 2), - "; t = ", round(tidied$statistic, 3), - "; p = ", pvalue(tidied$p.value)) -} - -rd_binned_big <- rdplot(y = too_graphical$outcome_big, x = too_graphical$score, - c = 0, p = 1, hide = TRUE) -rd_binned_medium <- rdplot(y = too_graphical$outcome_medium, x = too_graphical$score, - c = 0, p = 1, hide = TRUE) -rd_binned_small <- rdplot(y = too_graphical$outcome_small, x = too_graphical$score, - c = 0, p = 1, hide = TRUE) - -rd_binned_all <- tribble( - ~size, ~binned_data, ~poly_data, ~model, - "Big", rd_binned_big$vars_bins, rd_binned_big$vars_poly, model_big, - "Medium", rd_binned_medium$vars_bins, rd_binned_medium$vars_poly, model_medium, - "Small", rd_binned_small$vars_bins, rd_binned_small$vars_poly, model_small -) %>% - mutate(letter = LETTERS[1:n()]) %>% - mutate(stats = map_chr(model, extract_t_p)) %>% - mutate_at(vars(size, stats, letter), list(fct_inorder)) - -plot_binned <- rd_binned_all %>% - unnest(binned_data) - -plot_poly <- rd_binned_all %>% - unnest(poly_data) -``` - -```{r too-graphical-plot-1, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(plot_binned, aes(x = rdplot_mean_bin, y = rdplot_mean_y)) + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - aes(fill = rdplot_mean_bin <= 0)) + - geom_vline(xintercept = 0, size = 1, linetype = "21") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - labs(x = NULL, y = NULL) + - facet_wrap(vars(letter), nrow = 1) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(axis.text.x = element_blank(), - axis.ticks.x = element_blank(), - panel.grid.major.x = element_blank(), - panel.grid.minor.x = element_blank(), - panel.grid.minor.y = element_blank()) -``` - ---- - -# Which gaps are significant? - -```{r too-graphical-plot-2, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(plot_binned, aes(x = rdplot_mean_bin, y = rdplot_mean_y)) + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - aes(fill = rdplot_mean_bin <= 0)) + - geom_line(data = filter(plot_poly, rdplot_x < 0), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 3) + - geom_line(data = filter(plot_poly, rdplot_x > 0), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 3) + - geom_vline(xintercept = 0, size = 1, linetype = "21") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - labs(x = NULL, y = NULL) + - facet_wrap(vars(letter), nrow = 1) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(axis.text.x = element_blank(), - axis.ticks.x = element_blank(), - panel.grid.major.x = element_blank(), - panel.grid.minor.x = element_blank(), - panel.grid.minor.y = element_blank()) -``` - ---- - -# All of them! - -```{r too-graphical-plot-3, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(plot_binned, aes(x = rdplot_mean_bin, y = rdplot_mean_y)) + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - aes(fill = rdplot_mean_bin <= 0)) + - geom_line(data = filter(plot_poly, rdplot_x < 0), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 3) + - geom_line(data = filter(plot_poly, rdplot_x > 0), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 3) + - geom_vline(xintercept = 0, size = 1, linetype = "21") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - labs(x = NULL, y = NULL) + - facet_wrap(vars(stats), nrow = 1) + - theme_bw(base_size = 28, base_family = "Fira Sans Condensed") + - theme(axis.text.x = element_blank(), - axis.ticks.x = element_blank(), - strip.text = element_text(size = 20), - panel.grid.major.x = element_blank(), - panel.grid.minor.x = element_blank(), - panel.grid.minor.y = element_blank()) -``` - ---- - -# Don't rely *only* on graphics - -.pull-left[ -.box-inv-6.medium[Super clear breaks are uncommon] - -.box-inv-6.medium[Make graphs,
    but also find the
    actual δ value] -] - -.pull-right[ -```{r too-graphical-plot-3-single, echo=FALSE, fig.width=4, fig.height=3.6, out.width="100%"} -ggplot(filter(plot_binned, letter == "C"), - aes(x = rdplot_mean_bin, y = rdplot_mean_y)) + - geom_point(size = 3, pch = 21, color = "white", alpha = 0.7, - aes(fill = rdplot_mean_bin <= 0)) + - geom_line(data = filter(plot_poly, rdplot_x < 0, letter == "C"), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 1.5) + - geom_line(data = filter(plot_poly, rdplot_x > 0, letter == "C"), - aes(x = rdplot_x, y = rdplot_y), - color = "black", size = 1.5) + - geom_vline(xintercept = 0, size = 1, linetype = "21") + - scale_fill_manual(values = c("#0074D9", "#FF4136"), guide = FALSE) + - labs(x = NULL, y = NULL) + - facet_wrap(vars(stats), nrow = 1) + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") + - theme(axis.text.x = element_blank(), - axis.ticks.x = element_blank(), - strip.text = element_text(size = 14), - panel.grid.major.x = element_blank(), - panel.grid.minor.x = element_blank(), - panel.grid.minor.y = element_blank()) -``` -] - ---- - -# Manipulation! - --- - -.box-inv-6.medium[People might know about the cutoff
    and change their behavior] - --- - -.box-6[People might fudge numbers or work to
    cross the threshold to get in/out of program] - --- - -.box-6[If so, those right next to the cutoff are
    no longer comparable treatment/control groups] - ---- - -layout: false -class: bg-full -background-image: url("img/10/marathons.png") - -??? - -Data from and - ---- - -.center[ -
    - NBA shot locations, 2014-15 -
    -] - -??? - - - ---- - -layout: true -class: title title-6 - ---- - -# Manipulation! - -.box-inv-6.medium[Check with a McCrary density test] - -.box-6.small[`rddensity::rdplotdensity()` in R] - -```{r build-manipulation, echo=FALSE, include=FALSE, cache=TRUE} -set.seed(1234) -x <- rnorm(2000, mean = -0.5); x[x > 0] <- x[x > 0] * 2 -x_good <- rnorm(2000, mean = -0.5) - -plot1 <- rdplotdensity(rddensity(X = x), x, plotRange = c(-2, 2), plotN = 25) -plot2 <- rdplotdensity(rddensity(X = x_good), x_good, plotRange = c(-2, 2), plotN = 25) -``` - -```{r manipulation, echo=FALSE, fig.width=8, fig.height=2.6, out.width="100%"} -thing1 <- plot1$Estplot + - geom_vline(xintercept = 0) + - labs(x = "Running variable", y = "Density", - title = "Manipulation") + - guides(color = FALSE, linetype = FALSE) + - theme_bw(base_size = 13, base_family = "Fira Sans Condensed") + - theme(plot.title = element_text(face = "bold"), - panel.grid = element_blank()) - -thing2 <- plot2$Estplot + - geom_vline(xintercept = 0) + - labs(x = "Running variable", y = "Density", - title = "No manipulation") + - guides(color = FALSE, linetype = FALSE) + - theme_bw(base_size = 13, base_family = "Fira Sans Condensed") + - theme(plot.title = element_text(face = "bold"), - panel.grid = element_blank()) - -thing1 + thing2 -``` - ---- - -# Noncompliance! - --- - -.box-inv-6.medium[People on the margin of the cutoff
    might end up in/out of the program] - --- - -.box-6.sp-after[The ACA, subsidies, Medicaid, and 138% of the poverty line] - --- - -.box-inv-6.medium[Sharp vs. fuzzy discontinuities] - ---- - -# Sharp discontinuity - -.box-inv-6[Perfect compliance] - -```{r tutoring-sharp, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, fill = entrance_exam <= 70)) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL, fill = "Entrance exam ≥ 70") + - scale_fill_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE)) + - theme_bw(base_size = 22, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 1, b = 0, unit = "lines")) -``` - ---- - -# Fuzzy discontinuity - -.box-inv-6[Imperfect compliance] - -```{r tutoring-fuzzy, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_fuzzy_text, fill = entrance_exam <= 70)) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL, fill = "Entrance exam ≥ 70") + - scale_fill_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE)) + - theme_bw(base_size = 22, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 1, b = 0, unit = "lines")) -``` - ---- - -# Fuzzy discontinuities - -.box-inv-6.medium[Address noncompliance with
    instrumental variables
    (more on this later!)] - --- - -.box-6.sp-after[Use an instrument for which side
    of the cutoff people should be on] - --- - -.box-inv-6[Effect is only for compliers near the cutoff
    (complier LATE; doubly local effect)] diff --git a/slides/11-class.Rmd b/slides/11-class.Rmd deleted file mode 100644 index eed2a323..00000000 --- a/slides/11-class.Rmd +++ /dev/null @@ -1,273 +0,0 @@ ---- -title: "Class 11: IV I" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -library(scales) -library(ggdag) - -set.seed(123456) - -status_colors <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "grey50") -status_colors_backdoor <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "#FF4136") - -node_details <- tribble( - ~plot1, ~plot2, ~plot3, ~name, ~label, ~x, ~y, ~generic, ~mathy, - TRUE, TRUE, TRUE, "treatment", "Education", 1, 1, "Program/policy", "X", - TRUE, TRUE, TRUE, "outcome", "Earnings", 3, 1, "Outcome", "Y", - FALSE, TRUE, TRUE, "unmeasured", "Ability", 2, 2, "Unmeasured confounders", "U", - FALSE, FALSE, TRUE, "instrument", "Father's education", 0, 1, "Instrument", "Z" -) - -node_labels <- node_details$label %>% - set_names(node_details$name) - -node_labels_generic <- node_details$generic %>% - set_names(node_details$name) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 11 - -.class-info[ - -**March 30, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium[Super quick R things] - --- - -.box-2.medium[IV questions] - --- - -.box-6.medium[IV fun times] - ---- - -layout: false -name: r-stuff -class: center middle section-title section-title-5 animated fadeIn - -# Quick R stuff - ---- - -class: middle - -.box-5.large[Selecting things!] - ---- - -class: middle - -.box-5.large[Reprexes!] - -??? - -- -- -- - -```r -library(tidyverse) -library(rdrobust) - -blah <- mpg |> - mutate(treated = displ > 4) - -asdf <- rdrobust(blah$hwy, blah$displ, c = 4) -summary(asdf) - -rdplot(blah$hwy, blah$displ, c = 4) -``` - ---- - -class: middle - -.box-5.large[Why can't we use `rdrobust()`
    with `tidy()` or `modelsummary()`?] - -??? - - - ---- - -layout: false -name: iv -class: center middle section-title section-title-2 animated fadeIn - -# IV questions - ---- - -layout: true -class: middle - ---- - -.box-2[Given the strict criteria for instrumental variables,
    they seem pretty impractical and uncommon
    (especially compared to diff-in-diff and RDD).

    Why do you include instrumental variables
    as a part of this course?] - -.box-2[What's really the point of doing IV if finding instruments
    is so difficult and easy to mess up?] - -.box-2.large[Why even bother?] - ---- - -.box-2.medium[Is there like a “bank” of good IVs?] - -.box-2.medium[Do you have a method that helps you think of instruments, or a popular process that people usually use to come up with ideas?] - ---- - -.box-2.medium[What does it mean to tell a good story about excludability and exogeneity?] - -??? - -- https://braddelong.substack.com/p/podcast-hexapodia-is-e-key-insight-331 -- Matthew Suandi, "Promoting to Opportunity: Evidence and Implications from the U.S. Submarine Service" - https://are.berkeley.edu/sites/are.berkeley.edu/files/job-candidates/paper/MatthewSuandi_JMP_Nov_21_Berkeley.pdf - ---- - -.center[ -
    - WWII torpedo -
    -] - -??? - -Via : - -- In the early stages of the Pacific War, whether a US submarine-launched torpedo exploded was a matter of luck. -- If a submarine captain had an enlisted man marked out for promotion, those promotions happened much more often if the submarine returned from its cruise having succeeded in sinking ships. -- Those promoted because they happened to be on lucky submarines with torpedoes that exploded lived 2.4 years longer than their counterparts who happened to be on unlucky submarines and were not promoted. -- Those promoted because they happened to be on lucky submarines with torpedoes that exploded are recorded as having a last known address in a zip code with housing prices higher by 7 percentiles than their counterparts who happened to be on unlucky submarines and were not promoted. -- Early promotion to a job with more responsibility and scope—at least in the WWII-era USN—shapes your life to a remarkable degree by giving you scope to develop and exercise your talents. -- If the WWII-era USN is typical, we waste huge amounts of human potential by not giving people workplace opportunities to show what they can learn to do. -- Equality isn’t just about money: it is about scope for action, about developing and exercising talents, and about receiving external validation. -- A good society would give people much more opportunity to discover how big a deal they are and can become, and remind them of this at every opportunity. - ---- - -.box-2[Why would we use instrumental variables when we can simply use DAGs to control for things instead?] - -.box-2[What is the advantage of using an IV versus trying to find a variable that is correlated with the excluded variable of interest? For example, trying to find a variable highly correlated with "ability"? This seems also difficult but less difficult than finding a true IV.] - -.box-2[Could we assume that things like “ability” are latent variables and then try to model them directly?] - ---- - -```{r iv-dag-example, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -iv_dag2 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = filter(node_details, plot2), - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(iv_dag2, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 14, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(6, "lines"), - direction = "y") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = "none", fill = "none", edge_colour = "none") + - theme_dag(base_size = 28) -``` - ---- - -.box-2.less-medium[In the lecture you mentioned that the instrumental variable should be weird (or make people say huh?). However, in *The Effect*, the author states that the instrument should be relevant. This is a bit mixed messaging. Which approach should we use?] - -  - -.center[[Formal definitions of relevancy, excludability, and exogeneity](/slides/11-slides.html#43)] - ---- - -.box-2.less-medium[Why are things like weather, distance, or terrain bad instruments? How do they violate the exclusion restriction?] - -.center[[Lecture slides](/slides/11-slides.html#75)] - ---- - -.box-2.medium[Fuzzy RDD requires an instrument,
    but instruments seem impossible to find,
    so can we ever really do fuzzy RDD?] - ---- - -layout: false -name: schedule -class: center middle section-title section-title-3 animated fadeIn - -# Schedule update - ---- - -layout: false -name: iv -class: center middle section-title section-title-6 animated fadeIn - -# IV fun times diff --git a/slides/11-slides.Rmd b/slides/11-slides.Rmd deleted file mode 100644 index dbd95d10..00000000 --- a/slides/11-slides.Rmd +++ /dev/null @@ -1,1476 +0,0 @@ ---- -title: "Instrumental variables I" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(broom) -library(ggdag) -library(kableExtra) -library(scales) -library(patchwork) -library(estimatr) -library(modelsummary) - -set.seed(123456) - -nrows <- 1000 -father_education <- tibble( - ability = rnorm(nrows, 35000, 10000), # Ability - fathereduc = rnorm(nrows, 15000, 20000), # Father's education (IV) - e_y = 0.43 * rnorm(nrows, 50000, 10000) # Error for outcome -) %>% - mutate(educ = 3.7 + 0.52*fathereduc + 0.40*ability, # Education (policy variable) - wage = 5 + 0.23*educ + 0.5*ability - e_y) %>% # Wage (outcome variable) - mutate(wage = rescale(wage, to = c(7.75, 300)), # Rescale from minimum wage to director wage (hourly) - educ = rescale(educ, to = c(10, 23)), # Rescale as years of school. Min 10 to max 23 (PhD) - fathereduc = rescale(fathereduc, to = c(10, 23)), # Rescale father's education - ability = rescale(ability, to = c(0, 600))) %>% # Rescale as Hypothetical test scores - select(wage, educ, ability, fathereduc) %>% - mutate(across(everything(), ~round(., 2))) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Instrumental
    variables I - -.class-info[ - -**Session 11** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium.sp-after-half[Endogeneity and exogeneity] - --- - -.box-6.medium.sp-after-half[Instruments] - --- - -.box-3.medium.sp-after-half[Using instruments] - ---- - -name: endo-exo -class: center middle section-title section-title-5 animated fadeIn - -# Endogeneity
    and exoegneity - ---- - -layout: true -class: title title-5 - ---- - -# Does education cause higher earnings? - -```{r iv-dag-simple, echo=FALSE, fig.width=7, fig.height=3, out.width="70%"} -status_colors <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "grey50") -status_colors_backdoor <- c(exposure = "#0074D9", outcome = "#FF851B", latent = "#FF4136") - -node_details <- tribble( - ~plot1, ~plot2, ~plot3, ~name, ~label, ~x, ~y, ~generic, ~mathy, - TRUE, TRUE, TRUE, "treatment", "Education", 1, 1, "Program/policy", "X", - TRUE, TRUE, TRUE, "outcome", "Earnings", 3, 1, "Outcome", "Y", - FALSE, TRUE, TRUE, "unmeasured", "Ability", 2, 2, "Unmeasured confounders", "U", - FALSE, FALSE, TRUE, "instrument", "Father's education", 0, 1, "Instrument", "Z" -) - -node_labels <- node_details$label %>% - set_names(node_details$name) - -node_labels_generic <- node_details$generic %>% - set_names(node_details$name) - -iv_dag1 <- dagify(outcome ~ treatment, - exposure = "treatment", - outcome = "outcome", - coords = filter(node_details, plot1), - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() - -ggplot(iv_dag1, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - # box.padding = grid::unit(2.5, "lines"), - direction = "y") + - scale_color_manual(values = status_colors, na.value = "grey20") + - scale_fill_manual(values = status_colors, na.value = "grey20") + - guides(color = FALSE, fill = FALSE) + - theme_dag(base_size = 20) -``` - --- - -.medium[ -$$\color{#FF851B}{\text{Earnings}_i} = \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i} + \varepsilon_i$$ -] - ---- - -layout: false - -.box-inv-5.medium[If we ran this regression, would β1
    give us the causal effect of education?] - -.medium[ -$$\text{Earnings}_i = \beta_0 + \beta_1 \text{Education}_i + \varepsilon_i$$ -] - --- - -.box-5.medium[No!] - --- - -.float-left.center[.box-inv-5[Omitted variable bias!] .box-inv-5[Unclosed backdoors!]] - --- - -.box-inv-5[**Endogeneity!**] - ---- - -layout: true -class: title title-5 - ---- - -# Exogeneity and endogeneity - -.box-inv-5.medium[**Exogenous** variables] - --- - -.box-5[Value is not determined by
    anything else in the model] - --- - -.box-5[In a DAG, a node that doesn't
    have arrows coming into it] - - ---- - -# Exogeneity - -.box-inv-5.medium[Education is exogenous: no arrows *into* it] - -```{r show-iv-dag, echo=FALSE, out.width="100%"} -knitr::include_graphics(knitr::fig_chunk("iv-dag-simple", "png")) -``` - ---- - -# Exogeneity and endogeneity - -.box-inv-5.medium[**Endogenous** variables] - --- - -.box-5[Value is determined by
    something else in the model] - --- - -.box-5[In a DAG, a node that
    has arrows coming into it] - ---- - -# Endogeneity - -.box-inv-5.medium[Education is endogenous: Ability → Education] - -```{r iv-dag-endogenous, echo=FALSE, fig.width=7, fig.height=4, out.width="60%"} -iv_dag2 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = filter(node_details, plot2), - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(iv_dag2, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(5, "lines"), - direction = "both") + - scale_color_manual(values = status_colors, na.value = "grey20") + - scale_fill_manual(values = status_colors, na.value = "grey20") + - guides(color = FALSE, fill = FALSE) + - theme_dag(base_size = 20) -``` - ---- - -# Exgoeneity - -.box-inv-5.medium[What would exogenous variation
    in education look like?] - --- - -.box-5[Choices to get more education that are essentially random
    (or at least uncorrelated with omitted variables)] - ---- - -layout: false - -.box-5.medium[We'd like education to be exogenous
    .smaller[(an outside decision or intervention)], but it's not!] - -```{r show-iv-dag-endo, echo=FALSE, out.width="45%"} -knitr::include_graphics(knitr::fig_chunk("iv-dag-endogenous", "png")) -``` - --- - -.box-inv-5[Part of it is exogenous, but part of it is
    caused by ability, which is in the DAG] - ---- - -class: title title-5 - -# Fixing endogeneity with DAGs - -```{r show-iv-dag-endo-again, echo=FALSE, out.width="45%"} -knitr::include_graphics(knitr::fig_chunk("iv-dag-endogenous", "png")) -``` - --- - -.box-5[Close backdoor and adjust for ability] - --- - -.box-inv-5.smaller[Adjustment filters out the endogenous part of education and leaves us with just the endogenous part] - -$$\text{Earnings}_i = \beta_0 + \beta_1 \text{Education}_i + \beta_2 \text{Ability}_i + \varepsilon_i$$ - ---- - -```{r calculate-effects, echo=FALSE} -# IPW with continuous treatment -# https://meghapsimatrix.com/post/continuous-r-rmarkdown/ -# model_num <- lm(educ ~ 1, data = father_education) -# num <- dnorm(father_education$educ, -# predict(model_num), -# sd(model_num$residuals)) -# -# model_den <- lm(educ ~ ability, data = father_education) -# den <- dnorm(father_education$educ, -# predict(model_den), -# sd(model_den$residuals)) - -# Also works with ipw::ipwpoint -# weights_automatic <- ipw::ipwpoint( -# exposure = educ, -# family = "gaussian", -# numerator = ~ 1, -# denominator = ~ 1 + ability, -# trunc = 0.05, -# data = as.data.frame(father_education) -# ) - -# father_educ_ipw <- father_education %>% -# mutate(ipw = num / den) -# model3 <- lm(wage ~ educ, data = father_educ_ipw, weights = ipw) - -model1 <- lm(wage ~ educ, data = father_education) -model2 <- lm(wage ~ educ + ability, data = father_education) -``` - -.pull-left-wide[ -.small[ -```{r show-table, echo=FALSE} -model_results <- modelsummary(list("Unadjusted" = model1, "Adjusted" = model2), - gof_omit = 'IC|Log|Adj', stars = TRUE) -model_results %>% - add_header_above(c(" " = 1, "Outome = wage" = 2)) %>% - row_spec(c(6, 9), extra_css = "border-bottom: 1px solid") %>% - row_spec(3, background = "#FFC6C6") -``` -] -] - -.pull-right-narrow[ -.box-2[Unadjusted
    is wrong!] - -.box-5[Adjusted
    is right!] - -.box-inv-5.small[One year of education causes hourly wage to increase by $7.77] - -.box-inv-5.smaller[(FAKE DATA)] -] ---- - -layout: true -class: title title-5 - ---- - -# But we can't measure ability! - -```{r iv-dag-endogenous-confounding, echo=FALSE, fig.width=7, fig.height=4, out.width="40%"} -ggplot(iv_dag2, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(5, "lines"), - direction = "both") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 20) -``` - -$$\color{#FF851B}{\text{Earnings}_i} = \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i} + \beta_2 \color{#FF4136}{\text{Ability}_i} + \varepsilon_i$$ - --- - -.box-inv-5.small[Unmeasurable ability node is in the error term (ε)] - -$$\color{#FF851B}{\text{Earnings}_i} = \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i} + \color{#FF4136}{\varepsilon_i}$$ - ---- - -# Split exogeneity and endogeneity - -.box-inv-5[What if we could somehow separate education
    into its endogenous and exogenous parts?] - --- - -.SMALL[ -$$ -\begin{aligned} -\color{#FF851B}{\text{Earnings}_i} =& \beta_0 + \beta_1 \color{#B10DC9}{\text{Education}_i} + \varepsilon_i \\ -& \beta_0 + \beta_1 (\color{#0074D9}{\text{Education}_i^\text{exog.}} + \color{#FF4136}{\text{Education}_i^\text{endog.}}) + \varepsilon_i \\ -& \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i^\text{exog.}} + \underbrace{\beta_1 \color{#FF4136}{\text{Education}_i^{\text{endog.}}} + \varepsilon_i}_{\color{#AAAAAA}{\omega_i}} \\ -& \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i^\text{exog.}} + \color{#AAAAAA}{\omega_i} -\end{aligned} -$$ -] - ---- - -# Find exogeneity with One Weird Trick™ - -.medium[ -$$ -\color{#FF851B}{\text{Earnings}_i} = \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i^\text{exog.}} + \color{#AAAAAA}{\omega_i} -$$ -] - -.box-inv-5.medium.sp-after[How do we find only Educationexog.?] - --- - -.box-5.large[Use an instrument!] - ---- - -layout: false -name: instruments -class: center middle section-title section-title-6 animated fadeIn - -# Instruments - ---- - -layout: true -class: title title-6 - ---- - -# What is an instrument? - --- - -.box-inv-6[Something that is correlated with the policy variable] - -.box-6.small.sp-after[(Relevance)] - --- - -.box-inv-6[Something that does not directly cause the outcome] - -.box-6.small.sp-after[(Exclusion)] - --- - -.box-inv-6[Something that is not correlated with the omitted variables] - -.box-6.small[(Exogenity)] - ---- - -layout: false - -```{r iv-dag-general, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -iv_dag4 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured + instrument, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = filter(node_details, plot3), - labels = node_labels_generic) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(iv_dag4, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1, - color = "white", fontface = "bold", size = 14, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(6, "lines"), - direction = "y") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 28) -``` - ---- - -```{r iv-dag-example, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -iv_dag3 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured + instrument, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = filter(node_details, plot3), - labels = node_labels) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(iv_dag3, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 14, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(6, "lines"), - direction = "y") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 28) -``` - ---- - -```{r iv-dag-letters, echo=FALSE, fig.width=12, fig.height=6, out.width="100%"} -mathy_coords <- node_details %>% - filter(plot3) %>% - select(name = mathy, x, y) - -iv_dag_mathy <- dagify(Y ~ X + U, - X ~ U + Z, - exposure = "X", - outcome = "Y", - latent = "U", - coords = mathy_coords) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() - -ggplot(iv_dag_mathy, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 30) + - geom_dag_text(aes(label = name), - color = "white", fontface = "bold", size = 14, - family = "Fira Sans Condensed") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 28) -``` - ---- - -.pull-left[ -.box-6.SMALL[**Relevance**
    Correlated with policy] - -.box-inv-6.smaller[Z → X   Cor(Z, X) ≠ 0] - -.box-6.SMALL[**Excludability**
    Correlated with outcome
    *only through* policy] - -.box-inv-6.smaller[Z → X → Y   Z ↛ Y   Cor(Z, Y | X) = 0] - -.box-6.SMALL[**Exogeneity**
    *Not* correlated
    with omitted variables] - -.box-inv-6.smaller[U ↛ Z   Cor(Z, U) = 0] - -] - -.pull-right[ -  - -![](`r knitr::fig_chunk("iv-dag-letters", "png")`) - -.box-inv-6.smaller[**Relevance** testable with stats] - -.box-inv-6.smaller[**Excludability** testable with stats + story] - -.box-inv-6.smaller[**Exogeneity** requires story, no stats] -] - -??? - -https://dlm-econometrics.blogspot.com/2020/08/horseshoes-and-hand-grenades.html - ---- - -layout: true -class: title title-6 - ---- - -# Relevance - -.box-6[Instrument causes change in policy] - -.box-inv-6.smaller.sp-after[Z → X   Cor(Z, X) ≠ 0] - -
    - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[Social security number] .box-2.smaller[Probably not relevant (uncorrelated with education)]] - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[3rd grade test scores] .box-5.smaller[Potentially relevant (early grades cause more education)]] - --- - -.center.float-left[.box-inv-6.sp-before[Father's education] .box-5.smaller[Relevant (Educated parents cause more education)]] - ---- - -# Excludability - -.box-6[Instrument causes outcome *only through* policy] - -.box-inv-6.smaller.sp-after[Z → X → Y   Z ↛ Y   Cor(Z, Y | X) = 0] - -
    - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[Social security number] .box-5.smaller[Exclusive (SSN isn't correlated with hourly wages)]] - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[3rd grade test scores] .box-5.smaller[Potentially exclusive (early grades probably don't cause wages)]] - --- - -.center.float-left[.box-inv-6.sp-before[Father's education] .box-5.smaller[Exclusive (Parent's education doesn't cause your wages (lol))]] - ---- - -# Exogeneity - -.box-6[Instrument not correlated with omitted variables] - -.box-inv-6.smaller.sp-after[U ↛ Z   Cor(Z, U) = 0] - -
    - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[Social security number] .box-5.smaller[Exogenous (Unrelated to anything related to education)]] - --- - -.center.float-left.sp-after[.box-inv-6.sp-before[3rd grade test scores] .box-2.smaller[Not exogenous (Grades correlated with other education factors)]] - --- - -.center.float-left[.box-inv-6.sp-before[Father's education] .box-5.smaller[Exogenous (Birth to parents is random)]] - ---- - -# The huh? factor - -.box-inv-6.medium["A necessary but not a sufficient condition
    for having an instrument that can satisfy
    the exclusion restriction is if people are
    confused when you tell them about the
    instrument's relationship to the outcome.    "] - -.box-6.small[Scott Cunningham, *Causal Inference: The Mixtape*, p. 123] - ---- - -layout: false - -.small[ -```{r instrument-examples, echo=FALSE} -instruments <- tribble( - ~`Outcome`, ~`Policy`, ~`Unobserved stuff`, ~`Instrument`, - "Income", "Education", "Ability", "Father's education", - "Income", "Education", "Ability", "Distance to college", - "Income", "Education", "Ability", "Military draft", - "Health", "Smoking cigarettes", "Other negative health behaviors", "Tobacco taxes", - "Crime rate", "Patrol hours", "# of criminals", "Election cycles", - "Crime", "Incarceration rate", "Simultaneous causality", "Overcrowding litigations", - "Labor market success", "Americanization", "Ability", "Scrabble score of name", - "Conflicts", "Economic growth", "Simultaneous causality", "Rainfall" -) - -instruments %>% - kbl(align = "l") %>% - row_spec(c(2:8), extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(3:8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(4:8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(5:8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(6:8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(7:8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") %>% - row_spec(8, extra_css = "color: #ffffff; background-color: #ffffff;") -``` -] - ---- - -.small[ -```{r echo=FALSE} -instruments %>% - kbl(align = "l") -``` -] - ---- - -layout: true -class: title title-6 - ---- - -# Instruments are hard to find! - -.box-inv-6.medium[The trickiest thing to prove is
    the exclusion restriction] - -.box-6.sp-after[Instrument causes the outcome *only through* the policy] - --- - -.box-inv-6.medium[Most proposed instruments fail this!] - ---- - -# Rainfall as an instrument - -.box-inv-6[People love using weather as an instrument… buuuuut…] - --- - -.center[ -
    - Rainfall exclusion restrictions paper -
    -] - -??? - - - ---- - -layout: false - -.center[ -
    - Rainfall exclusion restrictions paper -
    -] - ---- - -layout: true -class: title title-6 - ---- - -# COVID-19 as an instrument - -.box-inv-6.medium[A global pandemic is a huge
    exogenous shock to
    social systems everywhere] - -.box-6[Maybe we can use it as an instrument!] - ---- - -# COVID-19 as an instrument - -.box-inv-6[What effect does closing schools have on
    student performance or lifetime earnings?] - -```{r covid-dag-1, echo=FALSE, fig.width=8, fig.height=4, out.width="70%"} -covid_nodes <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "School attendance", 1, 1, - "outcome", "Grades (or earnings)", 3, 1, - "unmeasured", "Unmeasured confounders", 2, 3, - "instrument", "COVID-19", 0, 2 -) - -node_labels_covid <- covid_nodes$label %>% - set_names(covid_nodes$name) - -covid_dag1 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured + instrument, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = covid_nodes, - labels = node_labels_covid) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(covid_dag1, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.5, "lines"), - box.padding = grid::unit(4, "lines"), - direction = "both") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 20) -``` - ---- - -# lolnope - -```{r covid-dag-2, echo=FALSE, fig.width=14, fig.height=6, out.width="100%"} -covid_nodes_2 <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "School attendance", 1, 1, - "outcome", "Grades (or earnings)", 3, 1, - "unmeasured", "Unmeasured confounders", 2, 4, - "instrument", "COVID-19", -2, 1, - "deaths", "Deaths", 0, 6, - "health", "Health", 0, 5, - "jobs", "Job losses", 0, 4, - "isolation", "Social isolation", 0, 3, - "anxiety", "Anxiety", 0, 2 -) - -node_labels_covid_2 <- covid_nodes_2$label %>% - set_names(covid_nodes_2$name) - -covid_dag2 <- dagify(outcome ~ treatment + unmeasured + deaths + health + jobs + isolation + anxiety, - treatment ~ unmeasured + instrument + deaths + health + jobs + isolation + anxiety, - deaths ~ instrument, - health ~ instrument, - jobs ~ instrument, - isolation ~ instrument, - anxiety ~ instrument, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = covid_nodes_2, - labels = node_labels_covid_2) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(covid_dag2, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 1234, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(2.5, "lines"), - direction = "y", nudge_x = 0.5) + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 20) -``` - -??? - -https://twitter.com/joshuasgoodman/status/1238517897829310464 - ---- - -# Falsifying exclusion assumptions - -.box-inv-6[Can you think of some other way that the instrument
    can cause the outcome outside of the policy?] - --- - -.box-inv-6[If so, the instrument doesn't meet exclusion restriction] - --- - -.pull-left[ -![](`r knitr::fig_chunk("iv-dag-general", "png")`) -] - -.pull-right[ -.box-6.small[Instrument → ?? → outcome?] - -.box-6.small[Rainfall → ?? → civil war?] - -.box-6.small[Tobacco taxes → ?? → health?] - -.box-6.small[Scrabble score → ?? →
    Labor market success?] -] - ---- - -layout: false -name: using-instruments -class: center middle section-title section-title-3 animated fadeIn - -# Using instruments - ---- - -$$\text{Earnings}_i = \beta_0 + \beta_1 \text{Education}_i + \varepsilon_i$$ - -.smaller[ -```{r show-table-again, echo=FALSE} -model_results <- modelsummary(list("Unadjusted" = model1, "Forbidden" = model2), - gof_omit = 'IC|Log|Adj', stars = TRUE) -model_results %>% - row_spec(c(6, 9), extra_css = "border-bottom: 1px solid") %>% - row_spec(3, background = "#F5ABEA") -``` -] - ---- - -  - -.SMALL[ -$$ -\begin{aligned} -\color{#FF851B}{\text{Earnings}_i} =& \beta_0 + \beta_1 \color{#B10DC9}{\text{Education}_i} + \varepsilon_i \\ -& \beta_0 + \beta_1 (\color{#0074D9}{\text{Education}_i^\text{exog.}} + \color{#FF4136}{\text{Education}_i^\text{endog.}}) + \varepsilon_i \\ -& \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i^\text{exog.}} + \underbrace{\beta_1 \color{#FF4136}{\text{Education}_i^{\text{endog.}}} + \varepsilon_i}_{\color{#AAAAAA}{\omega_i}} \\ -& \beta_0 + \beta_1 \color{#0074D9}{\text{Education}_i^\text{exog.}} + \color{#AAAAAA}{\omega_i} -\end{aligned} -$$ -] - ---- - -```{r show-father-educ-dag, echo=FALSE, out.width="85%"} -knitr::include_graphics(knitr::fig_chunk("iv-dag-example", "png")) -``` - -.center.float-left[.box-3[Relevancy] .box-3[Excludability] .box-3[Exogeneity]] - ---- - -layout: true -class: title title-3 - ---- - -# Relevancy - -.box-inv-3[Program ~ instrument] - -.pull-left-narrow[ -```{r plot-first-stage, echo=FALSE} -ggplot(father_education, aes(y = educ, x = fathereduc)) + - geom_point(size = 5, alpha = 0.5, color = "white", fill = "black", pch = 21) + - geom_smooth(method = "lm", formula = y ~ x, size = 2, color = "#0074D9") + - labs(y = "Years of education", x = "Years of father's education") + - theme_bw(base_size = 30, base_family = "Fira Sans Condensed") -``` - -] - -.pull-right-wide[ -.small-code.smaller[ -.box-3.small[Clear, significant effect = relevant!] - -```{r check-relevancy} -first_stage <- lm(educ ~ fathereduc, data = father_education) -tidy(first_stage) -``` -] - -.small-code.smaller[ -.box-3.small[First-stage model F-statistic (`statistic` here) > 104 = strong instrument] - -```{r} -glance(first_stage) -``` -] -] - -??? - - - ---- - -# Exclusion - -.box-inv-3[Does it meet exclusion assumption?] - -.box-3.smaller[Father's education causes your wages *only through* your education?] - -.box-3.smaller[Any other plausible node between father's education and earnings?] - -.pull-left-narrow[ -```{r plot-exclusion, echo=FALSE, out.width="80%"} -ggplot(father_education, aes(x = fathereduc, y = wage)) + - geom_point(size = 5, alpha = 0.5, color = "white", fill = "black", pch = 21) + - geom_smooth(method = "lm", formula = y ~ x, size = 2, color = "#85144b") + - labs(y = "Years of father's education", x = "Wage (outcome; not for father)") + - theme_bw(base_size = 30, base_family = "Fira Sans Condensed") -``` -] - -.pull-right-wide[ -```{r echo=FALSE, out.width="80%"} -knitr::include_graphics(knitr::fig_chunk("iv-dag-example", "png")) -``` -] - -??? - -Most obvious is that father’s education causes father’s earnings, which then causes your earnings - ---- - -# Exogeneity - -.box-inv-3.medium[Is assignment to your parents random?] - --- - -.box-3.sp-after[Sure.] - --- - -.box-inv-3.medium[Is your parents' choice to
    gain education random?] - --- - -.box-3[lolz.] - ---- - -# Two-stage least squares (2SLS) - -.box-inv-3.medium[Find exogenous part of policy variable based on instrument; use *that* to predict outcome] - --- - -.pull-left[ -.box-3.small[First stage] - -.small[ -$$ -\begin{aligned} -&\widehat{\text{Education}}_i = \\ -&\quad \gamma_0 + \gamma_1 \text{Father's education}_i + \upsilon_i -\end{aligned} -$$ -] - -.box-inv-3.smaller["Education hat": fitted/predicted values; exogenous part of education] -] - --- - -.pull-right[ -.box-3.small[Second stage] - -.small[ -$$ -\begin{aligned} -&\text{Earnings}_i = \\ -&\quad \beta_0 + \beta_1 \widehat{\text{Education}}_i + \varepsilon_i -\end{aligned} -$$ -] -] - ---- - -# Stage 1: Policy ~ instrument - -```{r first-stage} -first_stage <- lm(educ ~ fathereduc, data = father_education) - -tidy(first_stage) -``` - ---- - -# Stage 1: Check instrument strength - -.box-inv-3[Model's F-statistic .smaller[(`statistic` here)] should be > 104
    (though most books say > 10)] - -```{r check-first-stage-fake, eval=FALSE} -glance(first_stage) -``` - -```{r check-first-stage-real, echo=FALSE} -glance(first_stage) %>% select(1:5) -``` - ---- - -# Stage 1: Use first stage to predict policy - -.small[ -$$ -\widehat{\text{Education}}_i = 2.251 + (0.916 \times \text{Father's education}_i) + \upsilon_i -$$ -] - -.small-code[ -```{r make-educ-hat-fake, eval=FALSE} -data_with_predictions <- augment_columns(first_stage, data = father_education) %>% - rename(educ_hat = .fitted) -head(data_with_predictions) -``` -] - -.pull-left.small-code[ -```{r show-educ-hat-real, echo=FALSE} -data_with_predictions <- augment_columns(first_stage, data = father_education) %>% - rename(educ_hat = .fitted) - -head(data_with_predictions) %>% select(1:5) -``` -] - -.pull-right[ -  - -.box-3.smaller[educ_hat = 2.251 + (0.916 × **17.2**) = **18.0**] - -.box-3.smaller[educ_hat = 2.251 + (0.916 × **15.5**) = **16.4**] -] - ---- - -# Stage 2: Outcome ~ predicted policy - -```{r second-stage} -second_stage <- lm(wage ~ educ_hat, - data = data_with_predictions) - -tidy(second_stage) -``` - ---- - -layout: false - -.pull-left-wide.smaller[ -```{r show-table-again-2sls, echo=FALSE} -model_results <- modelsummary(list("Unadjusted" = model1, "Forbidden" = model2, "2SLS IV" = second_stage), - gof_omit = 'IC|Log|Adj', stars = TRUE) -model_results %>% - row_spec(c(8, 11), extra_css = "border-bottom: 1px solid") %>% - row_spec(c(3, 7), background = "#F5ABEA") -``` -] - -.pull-right-narrow[ -.box-2[Unadjusted
    is wrong!] - -.box-5[Forbidden is right,
    but not actually
    measurable!] - -.box-5[2SLS is close
    *and* measurable!] - -.box-inv-5.small[One year of education causes hourly wage to increase by $7.84] -] - ---- - -layout: true -class: title title-3 - ---- - -# Multiple instruments - -.box-inv-3[You can use multiple instruments to
    explain more of the endogeneity in the policy node] - -```{r multiple-ivs-dag, echo=FALSE, fig.width=10, fig.height=5, out.width="70%"} -node_details_multiple <- tribble( - ~name, ~label, ~x, ~y, - "treatment", "Education", 3, 1, - "outcome", "Earnings", 1, 1, - "unmeasured", "Ability", 2, 1.6, - "instrument1", "Father's education", 4, 1, - "instrument2", "Mother's education", 4, 1.5 -) - -node_labels_multiple <- node_details_multiple$label %>% - set_names(node_details_multiple$name) - -multiple_dag1 <- dagify(outcome ~ treatment + unmeasured, - treatment ~ unmeasured + instrument1 + instrument2, - exposure = "treatment", - outcome = "outcome", - latent = "unmeasured", - coords = node_details_multiple, - labels = node_labels_multiple) %>% - tidy_dagitty() %>% - node_status() %>% - node_exogenous() %>% - node_dconnected() %>% - control_for("unmeasured") - -ggplot(multiple_dag1, aes(x = x, y = y, xend = xend, yend = yend)) + - geom_dag_edges(aes(edge_colour = adjusted), - start_cap = ggraph::circle(3, "lines"), - end_cap = ggraph::circle(3, "lines"), - edge_width = 1.5, - arrow_directed = grid::arrow(length = grid::unit(0.75, "lines"), type = "closed")) + - geom_dag_point(aes(color = status), size = 20) + - geom_dag_label_repel(aes(label = label, fill = status), seed = 12, - color = "white", fontface = "bold", size = 7, - family = "Fira Sans Condensed", - label.padding = grid::unit(0.75, "lines"), - box.padding = grid::unit(2, "lines"), - direction = "y") + - scale_color_manual(values = status_colors_backdoor, na.value = "grey20") + - ggraph::scale_edge_colour_manual(values = c(unadjusted = "black", adjusted = "#FF4136")) + - scale_fill_manual(values = status_colors_backdoor, na.value = "grey20") + - guides(color = FALSE, fill = FALSE, edge_colour = FALSE) + - theme_dag(base_size = 20) -``` - ---- - -# Multiple instruments - -  - -$$ -\begin{aligned} -\widehat{\text{Education}}_i =&\ \gamma_0 + \gamma_1 \text{Father's education}_i +\\ -&\ \gamma_2 \text{Mother's education}_i + \upsilon_i\\ -\\ -\text{Earnings}_i =&\ \beta_0 + \beta_1 \widehat{\text{Education}}_i + \varepsilon_i -\end{aligned} -$$ - ---- - -# Other control variables - -.box-inv-3[You can use control variables too!] - -.box-inv-3[For mathy reasons,
    all exogenous controls need to go in both stages] - -.small[ -$$ -\begin{aligned} -\widehat{\text{Education}}_i =&\ \gamma_0 + \gamma_1 \text{Father's education}_i + \gamma_2 \text{Mother's education}_i +\\ -&\ \gamma_3 \text{SES}_i + \gamma_4 \text{State}_i + \gamma_5 \text{Year}_i + \upsilon_i\\ -\\ -\text{Earnings}_i =&\ \beta_0 + \beta_1 \widehat{\text{Education}}_i +\\ -&\ \beta_2 \text{SES}_i + \beta_3 \text{State}_i + \beta_4 \text{Year}_i + \varepsilon_i -\end{aligned} -$$ -] - -??? - -Control variables and other backdoors (exogenous ones go in both stages, even if they’re not used as instruments in the first stage – first stage is supposed to take out all the endogenous variation in all variables, so if you don’t include 2nd stage controls, they’ll still have some mathematical endogeneity) - -- https://raw.githack.com/edrubin/EC421W19/master/LectureNotes/11InstrumentalVariables/11_instrumental_variables.html#147 -- https://twitter.com/grant_mcdermott/status/1194348199743377408 -- https://stats.stackexchange.com/questions/177747/why-do-you-put-all-the-exogenous-variables-into-the-first-and-second-stage-of-2s - ---- - -# Faster, more accurate ways to run 2SLS - -.box-inv-3[Running the first stage, calculating policy-hat,
    then running second stage is neat, but time consuming!] - -.code-small.smaller[ -```{r eval=FALSE} -first_stage <- lm(educ ~ fathereduc, data = father_education) - -data_with_predictions <- augment_columns(first_stage, data = father_education) %>% - rename(educ_hat = .fitted) - -second_stage <- lm(wage ~ educ_hat, data = data_with_predictions) -``` -] - --- - -.box-inv-3[Your standard errors will be wrong unless
    you adjust them with fancy math by hand] - --- - -.box-3[Use R packages that do all that work for you instead!] - -??? - -https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Instrumental_variables - ---- - -# Faster, more accurate ways to run 2SLS - -.box-inv-3[`ivreg()` from the **ivreg** package] - -.box-3[Outcome ~ 2nd stage stuff | 1st stage stuff] - -.pull-left.code-small.tiny[ -```{r iv-ivreg} -library(ivreg) -model_ivreg <- ivreg(wage ~ educ | fathereduc, - data = father_education) -tidy(model_ivreg) -``` -] - -.pull-right.code-small.tiny[ -```{r eval=FALSE} -summary(model_ivreg) -``` - -```{r echo=FALSE} -x <- capture.output(summary(model_ivreg)) -cat(x[9:17], sep = "\n") -``` -] - -??? - -https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Option_1:_AER::ivreg() - ---- - -# Faster, more accurate ways to run 2SLS - -.box-inv-3[`iv_robust()` from the **estimatr** package] - -.box-3[Outcome ~ 2nd stage stuff | 1st stage stuff] - -.code-small.smaller[ -```{r iv-robust} -library(estimatr) -model_iv_robust <- iv_robust(wage ~ educ | fathereduc, - data = father_education) -tidy(model_iv_robust) -``` -] - -.box-inv-3.small[(See also `lfe()` from the **felm** package for IV with fancy fixed effects)] - -??? - -https://raw.githack.com/uo-ec607/lectures/master/08-regression/08-regression.html#Option_3:_felm::lfe() - ---- - -layout: false - -.smaller[ -```{r show-table-final-2sls, echo=FALSE} -gm <- modelsummary::gof_map %>% - mutate(omit = !(raw %in% c("nobs", "r.squared", "adj.r.squared"))) - -modelsummary(list("Unadjusted" = model1, "Forbidden" = model2, - "2SLS IV (by hand)" = second_stage, - "2SLS IV (ivreg())" = model_ivreg, - "2SLS IV (iv_robust())" = model_iv_robust), - gof_map = gm, gof_omit = "p\\.value|statistic|se_type", stars = TRUE) %>% - row_spec(c(8, 11), extra_css = "border-bottom: 1px solid") %>% - row_spec(c(3, 7), background = "#F5ABEA") %>% - row_spec(10, background = "#FFE2D0") -``` -] - ---- - -class: title title-3 - -# General IV process - --- - -.box-inv-3[**1: Is the instrument relevant?**
    .smaller[Instrument correlated with policy/program; F-statistic in 1st stage > 104]] - --- - -.box-inv-3[**2: Does the instrument meet exclusion assumption?**
    .smaller[Instrument causes outcome *only through* policy/program. **Good luck.**]] - --- - -.box-inv-3[**3: Is the instrument exogenous?**
    .smaller[No arrows going into instrument node in DAG]] - --- - -.box-inv-3[**4: 2-stage least squares (2SLS)**
    .smaller[program ~ instrument; outcome ~ program_hat **OR** `iv_robust()`]] diff --git a/slides/12-class.Rmd b/slides/12-class.Rmd deleted file mode 100644 index 4f8e5b11..00000000 --- a/slides/12-class.Rmd +++ /dev/null @@ -1,107 +0,0 @@ ---- -title: "Class 12: IV II and RDD II" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -library(scales) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 12 - -.class-info[ - -**April 6, 2023** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-1.medium[Exam 2] - --- - -.box-3.medium[Synthetic data fun times!] - ---- - -layout: false -name: faqs -class: center middle section-title section-title-1 animated fadeIn - -# Exam 2 - ---- - -layout: false -name: synthetic-data -class: center middle section-title section-title-3 animated fadeIn - -# Synthetic data
    fun times! - ---- - -class: title title-3 - -# Basic process - --- - -.box-inv-3.medium[1: Draw a DAG] - --- - -.box-inv-3.medium[2: Create standalone exogenous columns] - --- - -.box-inv-3.medium[3: Connect endogenous columns] - --- - -.box-inv-3.medium[4: Polish columns] - --- - -.box-3.large.sp-before-half[Iterate. Iterate so so much.] diff --git a/slides/12-slides.Rmd b/slides/12-slides.Rmd deleted file mode 100644 index c82b7509..00000000 --- a/slides/12-slides.Rmd +++ /dev/null @@ -1,1098 +0,0 @@ ---- -title: "Instrumental variables II and regression discontinuity II" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(broom) -library(ggdag) -library(kableExtra) -library(scales) -library(patchwork) -library(estimatr) -library(rdrobust) - -# Fake program data -set.seed(1234) -num_students <- 1000 -tutoring <- tibble( - id = 1:num_students, - entrance_exam = rbeta(num_students, shape1 = 7, shape2 = 2), - exit_exam_base = rbeta(num_students, shape1 = 5, shape2 = 3) -) %>% - mutate(entrance_exam = entrance_exam * 100) %>% - mutate(tutoring_sharp = entrance_exam <= 70) %>% - mutate(tutoring_fuzzy = case_when( - entrance_exam >= 50 & entrance_exam <= 70 ~ sample(c(TRUE, FALSE), n(), replace = TRUE, prob = c(0.8, 0.2)), - entrance_exam > 70 & entrance_exam <= 90 ~ sample(c(TRUE, FALSE), n(), replace = TRUE, prob = c(0.2, 0.8)), - entrance_exam < 50 ~ TRUE, - entrance_exam > 90 ~ FALSE - )) %>% - mutate(tutoring_text = factor(tutoring_sharp, levels = c(FALSE, TRUE), - labels = c("No tutor", "Tutor")), - tutoring_fuzzy_text = factor(tutoring_fuzzy, levels = c(FALSE, TRUE), - labels = c("No tutor", "Tutor"))) %>% - mutate(exit_exam = exit_exam_base * 40 + 10 * tutoring_sharp + entrance_exam / 2) %>% - mutate(exit_exam_fuzzy = exit_exam_base * 40 + 10 * tutoring_fuzzy + entrance_exam / 2) %>% - mutate(entrance_centered = entrance_exam - 70) %>% - mutate(below_cutoff = entrance_exam <= 70) - -tutoring <- tutoring %>% - select(id, entrance_exam, tutoring = tutoring_fuzzy, - tutoring_text = tutoring_fuzzy_text, exit_exam = exit_exam_fuzzy) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# IV II &
    RDD II - -.class-info[ - -**Session 12** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-4.medium.sp-after-half[Treatment effects and compliance] - --- - -.box-1.medium.sp-after-half[Randomized promotion] - --- - -.box-6.medium.sp-after-half[Fuzzy regression discontinuity] - ---- - -layout: false -name: treatment-effects -class: center middle section-title section-title-4 animated fadeIn - -# Treatment effects
    and compliance - ---- - -layout: true -class: title title-4 - ---- - -# Potential outcomes - -.medium[ -$$ -\delta = (Y |\ P = 1) - (Y |\ P = 0) -$$ -] - --- - -.box-inv-4[δ (delta) = causal effect] - --- - -.box-inv-4[P = Program] - --- - -.box-inv-4[Y = Outcome] - --- - -.medium[ -$$ -\delta = Y_1 - Y_0 -$$ -] - ---- - -layout: false - -.box-4.medium[Fundamental problem
    of causal inference] - --- - -.less-medium[ -$$ -\delta_i = Y_i^1 - Y_i^0 \quad \text{in real life is} \quad \delta_i = Y_i^1 - ??? -$$ -] - --- - -.box-inv-4.medium[Individual-level effects are
    impossible to observe!] - ---- - -layout: true -class: title title-4 - ---- - -# Average treatment effect - -.box-inv-4[Difference between average/expected value when
    program is on vs. expected value when program is off] - -.less-medium[ -$$ -\text{ATE} = E(Y_1 - Y_0) = E(Y_1) - E(Y_0) -$$ -] - --- - -.box-inv-4[Can be found for a whole population, on average] - -.less-medium[ -$$ -\delta = (\bar{Y}\ |\ P = 1) - (\bar{Y}\ |\ P = 0) -$$ -] - ---- - -layout: false - -.box-4.medium[Every individual has a
    treatment/causal effect] - --- - -.box-inv-4.medium[ATE = average of all
    unit-level causal effects] - --- - -.box-inv-4.medium[ATE = Average effect
    for the whole population] - ---- - -layout: true -class: title title-4 - ---- - -# Other versions of causal effects - -.box-inv-4.medium[Average treatment on the treated] - -.box-4.sp-after[ATT/TOT] - --- - -.box-inv-4.medium.sp-before[Conditional average treatment effect] - -.box-4[CATE] - ---- - -# Local effects - -```{r echo=FALSE, out.width="80%"} -knitr::include_graphics("10-slides_files/figure-html/bandwidth-plots-1.png") -``` - ---- - -# LATE - -.box-inv-4.medium[Local average treatment effect (LATE) =
    weighted ATE] - -.box-4.sp-after[Narrower effect; only applies to some of the population] - --- - -.box-inv-4.medium[You can't make population-level
    claims with LATE] - --- - -.box-4.small[(But that can be okay!)] - ---- - -# LATE - -  - --- - -.box-inv-4.medium.sp-after[In RDD, LATE = people in the bandwidth] - --- - -.box-inv-4.medium[In RCTs and IVs, LATE = **compliers**] - ---- - -# Compliance - -.pull-left[ -.box-inv-4.less-medium[Complier] - -.box-4.small.sp-after[Treatment
    follows assignment] - -.box-inv-4.less-medium[Always taker] - -.box-4.small[Gets treatment
    regardless of assignment] -] - --- - -.pull-right[ -.box-inv-4.less-medium[Never taker] - -.box-4.small.sp-after[Rejects treatment
    regardless of assignment] - -.box-inv-4.less-medium[Defier] - -.box-4.small[Does the opposite
    of assignment] -] - ---- - -layout: false - -
    - Compliance and potential outcomes -
    - ---- - -layout: true -class: title title-4 - ---- - -# Ignoring defiers - --- - -.box-inv-4.medium[We can generally assume
    that defiers don't exist] - --- - -.box-4.small[In drug trials this makes sense; you can't get access
    to medicine without being in treatment group] - --- - -.box-4.small[In development it can make sense; in a bed net RCT,
    a defier assigned to treatment would have to
    tear down all existing bed nets out of spite] - ---- - -# Ignoring defiers - -  - --- - -.box-inv-4.medium[Monotonicity assumption] - --- - -.box-4.small[Assignment to treatment only
    has an effect in one direction] - --- - -.box-4.small[Assignment to treatment can only
    increase—not decrease—your actual chance of treatment] - ---- - -layout: false - -
    - Compliance and potential outcomes -
    - ---- - -layout: true -class: title title-4 - ---- - -# More causal effects - -.box-inv-4.medium[Intent to treat (ITT)] - -.box-4.small.sp-after[Effect of assignment (not actual treatment!)] - --- - -.center[ -
    - Compliance and ITT -
    -] - ---- - -# More causal effects - -.box-inv-4.medium[Complier Average Causal Effect (CACE)] - -.box-4.small.sp-after[LATE for the compliers] - --- - -.center[ -
    - Compliance and CACE -
    -] - ---- - -```{r itt-cace-stuff, include=FALSE} -set.seed(1234) - -N <- 2000 -df <- tibble( - status = sample(c("Always taker", "Never taker", "Complier"), N, - replace = TRUE, prob = c(0.2, 0.4, 0.4)), - treatment = sample(c("Treatment", "Control"), N, replace = TRUE, prob = c(0.5, 0.5)) -) %>% - mutate(bed_net_0 = (status == "Always taker") * 1, - bed_net_1 = (status != "Never taker") * 1) %>% - mutate(health_0 = case_when( - status == "Always taker" ~ rnorm(N, 1, 0.5), - status == "Never taker" ~ rnorm(N, 0, 0.6), - status == "Complier" ~ rnorm(N, 0.1, 0.4), - )) %>% - mutate(health_1 = case_when( - status == "Always taker" ~ rnorm(N, 1, 0.5), - status == "Never taker" ~ rnorm(N, 0, 0.6), - status == "Complier" ~ rnorm(N, 0.9, 0.7), - )) %>% - mutate(bed_net = case_when( - treatment == "Treatment" ~ bed_net_1, - treatment == "Control" ~ bed_net_0 - )) %>% - mutate(health = case_when( - bed_net == 0 ~ health_0, - bed_net == 1 ~ health_1 - )) %>% - mutate(bed_net = factor(bed_net, labels = c("No bed net", "Bed net"))) - -min_health <- min(df$health_0, df$health_1) -max_health <- max(df$health_0, df$health_1) - -df <- df %>% - mutate(across(starts_with("health"), - ~rescale(., to = c(0, 100), - from = c(min_health, max_health)))) - -df_real <- df %>% - select(treatment, bed_net, health) - -bed_nets_time_machine <- df %>% - mutate(bed_net = fct_relevel(bed_net, "No bed net"), - status = fct_relevel(status, "Complier")) -bed_nets <- df_real %>% - mutate(bed_net = fct_relevel(bed_net, "No bed net")) - -# write_csv(df, here::here("static", "data", "bed_nets_time_machine.csv")) -# write_csv(df_real, here::here("static", "data", "bed_nets_observed.csv")) - -viridisLite::viridis(n = 3, option = "plasma", end = 0.85) -``` - -# Hypothetical bed net program - -.box-inv-4[An NGO distributes mosquito bed nets to help
    improve health by reducing malaria infection rate] - --- - -.box-inv-4[We can read everyone's minds and we know if
    people are always takers, never takers, or compliers] - ---- - -# Mind reading - -```{r bed-nets-mind-reading, echo=FALSE, fig.width=9, fig.height=4, out.width="100%"} -set.seed(1234) -ggplot(bed_nets_time_machine, aes(y = health, x = treatment)) + - geom_point(aes(shape = bed_net, color = status), - position = position_jitter(height = NULL, width = 0.25)) + - facet_wrap(vars(status)) + - labs(color = "Type of person", shape = "Compliance", - x = NULL, y = "Health status") + - scale_color_viridis_d(option = "plasma", end = 0.85) + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") -``` - ---- - -# Actual data - -.box-inv-4[But we can't read minds! This is what we actually see:] - -```{r bed-nets-actual, echo=FALSE, fig.width=9, fig.height=3.5, out.width="100%"} -set.seed(1234) -ggplot(bed_nets_time_machine, aes(y = health, x = bed_net)) + - geom_point(aes(shape = bed_net, color = status), - position = position_jitter(height = NULL, width = 0.25)) + - facet_wrap(vars(treatment)) + - labs(color = "Type of person", shape = "Compliance", - x = NULL, y = "Health status") + - scale_color_viridis_d(option = "plasma", end = 0.85) + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") -``` - ---- - -# Actual data - -.box-inv-4[(Actually *this* is what we see)] - -```{r bed-nets-actual-no-color, echo=FALSE, fig.width=9, fig.height=3.5, out.width="100%"} -set.seed(1234) -ggplot(bed_nets_time_machine, aes(y = health, x = bed_net)) + - geom_point(aes(shape = bed_net, color = status), - position = position_jitter(height = NULL, width = 0.25)) + - facet_wrap(vars(treatment)) + - labs(color = "Type of person", shape = "Compliance", - x = NULL, y = "Health status") + - scale_color_manual(values = c("black", "black", "black")) + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") -``` - ---- - -layout: false - -```{r bed-nets-actual-smaller, echo=FALSE, fig.width=9, fig.height=3.5, out.width="70%"} -set.seed(1234) -ggplot(bed_nets_time_machine, aes(y = health, x = bed_net)) + - geom_point(aes(shape = bed_net, color = status), - position = position_jitter(height = NULL, width = 0.25)) + - facet_wrap(vars(treatment)) + - labs(color = "Type of person", shape = "Compliance", - x = NULL, y = "Health status") + - scale_color_viridis_d(option = "plasma", end = 0.85) + - theme_bw(base_size = 16, base_family = "Fira Sans Condensed") -``` - -.center[ -
    - Compliance with graph -
    -] - ---- - -```{r echo=FALSE, out.width="50%"} -knitr::include_graphics(knitr::fig_chunk("bed-nets-mind-reading", "png")) -``` - -$$ -\begin{aligned} -\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{compliers} \times (\text{T} - \text{C})_\text{compliers}} + \\ -&\color{#B7318A}{\pi_\text{always takers} \times (\text{T} - \text{C})_\text{always takers}} + \\ -&\color{#FEBA2C}{\pi_\text{never takers} \times (\text{T} - \text{C})_\text{never takers}}\\[6pt] -\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \text{ATACE}} + \color{#FEBA2C}{\pi_\text{N} \text{NTACE}} -\end{aligned} -$$ - ---- - -```{r echo=FALSE, out.width="50%"} -knitr::include_graphics(knitr::fig_chunk("bed-nets-mind-reading", "png")) -``` - -$$\text{ITT}\ =\ \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \text{ATACE}} + \color{#FEBA2C}{\pi_\text{N} \text{NTACE}}$$ --- - -.box-4[Treatment received is same regardless of assignment!
    Being assigned to treatment doesn't influence ATs and NTs] - --- - -$$\text{ITT}\ =\ \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \times 0} + \color{#FEBA2C}{\pi_\text{N} \times 0}$$ - ---- - -$$ -\begin{aligned} -\text{ITT}\ =\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \text{ATACE}} + \color{#FEBA2C}{\pi_\text{N} \text{NTACE}} \\[6pt] -=\ & \color{#0D0887}{\pi_\text{C} \text{CACE}} + \color{#B7318A}{\pi_\text{A} \times 0} + \color{#FEBA2C}{\pi_\text{N} \times 0}\\[6pt] -\text{ITT}\ =\ &\color{#0D0887}{\pi_\text{C} \text{CACE}} -\end{aligned} -$$ - --- - -.medium[ -$$ -\color{#0D0887}{\text{CACE}} = \frac{\text{ITT}}{\color{#0D0887}{\pi_\text{C}}} -$$ -] - --- - -.box-4[ITT and πC are both findable!] - ---- - -layout: true -class: title title-4 - ---- - -# Finding the ITT - -.box-inv-4[ITT = effect of assignment to treatment on outcome] - -$$\text{ITT} = (\bar{y}\ |\ \text{Treatment}) - (\bar{y}\ |\ \text{Control)}$$ - --- - -.pull-left.small-code[ -```{r} -bed_nets %>% - group_by(treatment) %>% - summarize(avg = mean(health)) -``` -] - --- - -.pull-right.small-code[ -```{r eval=FALSE} -itt_model <- lm(health ~ treatment, - data = bed_nets) -tidy(itt_model) -``` - -```{r echo=FALSE} -itt_model <- lm(health ~ treatment, - data = bed_nets) -tidy(itt_model) %>% select(term, estimate) -``` -] - ---- - -# Finding the πC - -.box-inv-4.smaller[People in treatment group who complied are a combination of Always Takers and Compliers] - -```{r echo=FALSE, out.width="50%"} -knitr::include_graphics(knitr::fig_chunk("bed-nets-actual-smaller", "png")) -``` - -$$ -\begin{aligned} -\pi_\text{A} + \pi_\text{C} =& \text{% yes in treatment; or} \\ -\pi_\text{C} =& \text{% yes in treatment} - \pi_\text{A} -\end{aligned} -$$ - ---- - -# Can we know πA? - -$$\pi_\text{C} = \text{% yes in treatment} - \pi_\text{A}$$ - -```{r echo=FALSE, out.width="50%"} -knitr::include_graphics(knitr::fig_chunk("bed-nets-actual-smaller", "png")) -``` - --- - -.box-inv-4.small[We can assume that the proportion of Always Takers
    is the same across treatment and control] - --- - -.box-inv-4.small[We know how many people were in control but still used nets—that's πA!] - ---- - -# Isolating πC - -.small[ -$$ -\begin{aligned} -\pi_\text{C} =& \text{% yes in treatment} - \pi_\text{A} \\ -=& \text{% yes in treatment} - \text{% yes in control} -\end{aligned} -$$ -] - -.pull-left.small-code.small[ -```{r} -bed_nets %>% - group_by(treatment, bed_net) %>% - summarize(n = n()) %>% - mutate(prop = n / sum(n)) -``` -] - --- - -.pull-right.small-code[ -```{r} -# pi_c = prop yes in treatment - -# prop yes in control -pi_c <- 0.6104418 - 0.1952191 -pi_c -``` - -.box-inv-4[41.5% compliers!] -] - - ---- - -# Finding the CACE, finally! - -$$\text{CACE} = \frac{\text{ITT}}{{\pi_\text{C}}}$$ - --- - -.pull-left.small-code.small[ -```{r} -ITT <- tidy(itt_model) %>% - filter(term == "treatmentTreatment") %>% - pull(estimate) -ITT - -pi_c -``` -] - --- - -.pull-right.small-code[ -```{r} -CACE <- ITT / pi_c -CACE -``` - -.box-inv-4.small[Bed nets *cause* 14.4 point
    increase in health for compliers] -] - ---- - -layout: false - -.medium[ -$$ -\text{CACE} = \frac{\color{#FF4136}{\text{ITT}}}{\color{#B10DC9}{\pi_\text{C}}} -$$ - -$$ -\color{#FF4136}{\text{ITT}} = (\bar{y}\ |\ \text{Treatment}) - (\bar{y}\ |\ \text{Control)} -$$ - -$$ -\begin{aligned} -\color{#B10DC9}{\pi_\text{C}}\ =\ & \text{% yes in treatment} - \\ -& \text{% yes in control} -\end{aligned} -$$ -] - ---- - -class: title title-4 - -# A faster way with 2SLS - -.box-inv-4.medium[LATE for the compliers] - --- - -.box-4[If you use assignment to treatment as an instrument,
    you can find the causal effect for just compliers] - --- - -.box-4[Instrumental variables in general give you the CACE] - ---- - -class: title title-4 - -# CACE with 2SLS - -.code-small[ -```{r eval=FALSE} -model_2sls <- iv_robust(health ~ bed_net | treatment, - data = bed_nets) -tidy(model_2sls) -``` - -```{r echo=FALSE} -model_2sls <- iv_robust(health ~ bed_net | treatment, - data = bed_nets) -tidy(model_2sls) %>% select(1:5) -``` -] - -.box-inv-4[Same 14.421 effect!] - ---- - -layout: false -name: encouragement -class: center middle section-title section-title-1 animated fadeIn - -# Promotion
    as an instrument - ---- - -layout: true -class: title title-1 - ---- - -# Universal programs - -.box-inv-1.medium[What if you have a program
    that anyone can opt in to?] - --- - -.box-1[ACA, voting, employer retirement matching] - --- - -.pull-left[ -.box-inv-1.small[You can't just look at outcomes
    of participants vs. non-participants!] - -.box-1.small[Selection bias!] -] - --- - -.pull-right[ -.box-inv-1.small[You can't randomly
    assign people to it either] - -.box-1.small[Ethics!] -] - ---- - -# Randomized promotion - -.box-inv-1.medium.sp-after[What if you *encourage*
    some people to participate?] - --- - -.box-inv-1.medium[What if the encouragement is randomized?] - --- - -.box-1.medium[Valid treatment/control groups?] - --- - -.box-1[Not really…] - ---- - -# Randomized promotion - --- - -.box-1.medium.sp-after[…but also, kind of!] - --- - -.box-inv-1.medium[Encouragement/promotion =
    an instrument!] - ---- - -# Not something weird? Does that work!? - --- - -.pull-left[ -.box-inv-1.less-medium[Relevant?] - -.box-inv-1.tiny.sp-after[Z → X   Cor(Z, X) ≠ 0] - -.box-1.small[Promotion causes people
    to use the program. Yep.] -] - --- - -.pull-right.sp-after-half[ -.box-inv-1.less-medium[Exclusive?] - -.box-inv-1.tiny.sp-after[Z → X → Y   Z ↛ Y   Cor(Z, Y | X) = 0] - -.box-1.small[Promotion causes outcome
    *only through* program? Yep.] -] - --- - -.box-inv-1.less-medium[Exogenous?] - -.box-inv-1.tiny.sp-after[U ↛ Z   Cor(Z, U) = 0] - -.box-1.small[Unobserved things that influence outcome don't also influence promotion?
    Yep.] - ---- - -# Program compliance - -.pull-left[ -.box-inv-1.medium[Always Takers] - -.box-1.small[People who will always
    enroll in program] -] - --- - -.pull-right.sp-after[ -.box-inv-1.medium[Never Takers] - -.box-1.small[People who will never
    enroll in program] -] - --- - -.box-inv-1.medium[Compliers / Enrollers-if-Promoted] - -.box-1.small[People who will enroll in the program if encouraged to] - ---- - -# LATE for compliers - -.tiny[ -```{r echo=FALSE} -tribble( - ~id, ~outcome, ~program, ~promotion, - 1, 45, TRUE, TRUE, - 2, 55, TRUE, FALSE, - 3, 52, FALSE, FALSE, - 4, 39, FALSE, TRUE -) %>% - kbl(align = "c") -``` -] - --- - -.code-small.center[ -```{r eval=FALSE} -iv_robust(outcome ~ program | promotion) -``` -] - --- - -.box-inv-1.medium[This will show the LATE for promoted-ees!] - --- - -.box-1.small[Says nothing about the effect of the program on Always Takers or Never Takers] - ---- - -layout: false -name: fuzzy-rdd -class: center middle section-title section-title-6 animated fadeIn - -# Fuzzy RDD - ---- - -layout: true -class: title title-6 - ---- - -# Fuzzy discontinuities - -```{r tutoring-fuzzy, echo=FALSE, fig.width=12, fig.height=5.5, out.width="100%"} -ggplot(tutoring, aes(x = entrance_exam, y = tutoring_text, fill = entrance_exam <= 70)) + - geom_vline(xintercept = 70, size = 2, color = "#FFDC00") + - geom_point(size = 5, pch = 21, color = "white", alpha = 0.7, - position = position_jitter(width = 0, height = 0.2, seed = 1234)) + - labs(x = "Entrance exam score", y = NULL, fill = "Entrance exam ≤ 70") + - scale_fill_manual(values = c("#85144b", "#0074D9")) + - guides(fill = guide_legend(reverse = TRUE)) + - theme_bw(base_size = 22, base_family = "Fira Sans Condensed") + - theme(legend.position = "bottom") + - theme(legend.box.spacing = unit(0.5, "lines"), - legend.margin = margin(t = 1, b = 0, unit = "lines")) -``` - ---- - -# Fuzzy discontinuities - -.box-inv-6.medium.sp-after[Fuzzy discontinuities imply noncompliance] - --- - -.box-inv-6.medium[Address noncompliance with
    instrumental variables] - ---- - -# What do we use as instrument? - - -.box-inv-6.medium[Instrument = above/below cutoff] - -.box-6.small.sp-after[i.e. what they were supposed to do] - -  - --- - -.box-6.medium.sp-before[(This is just like the CACE we just did!)] - ---- - -# Not something weird? Does that work!? - --- - -.pull-left[ -.box-inv-6.less-medium[Relevant?] - -.box-inv-6.tiny.sp-after[Z → X   Cor(Z, X) ≠ 0] - -.box-6.small[Cutoff causes program? Yep.] -] - --- - -.pull-right.sp-after-half[ -.box-inv-6.less-medium[Exclusive?] - -.box-inv-6.tiny.sp-after[Z → X → Y   Z ↛ Y   Cor(Z, Y | X) = 0] - -.box-6.small[Cutoff causes outcome
    *only through* program? Yep.] -] - --- - -.box-inv-6.less-medium[Exogenous?] - -.box-inv-6.tiny.sp-after[U ↛ Z   Cor(Z, U) = 0] - -.box-6.small[Unobserved things that influence outcome don't also influence cutoff?
    It's an arbitrary cutoff, so sure.] - ---- - -# Doubly local LATE - -.box-inv-6.medium[Effect is only for
    (1) compliers (2) near the cutoff] - -.box-6[Be specific when talking about effects;
    definitely don't make population-level claims] - ---- - -# Parametric fuzzy RD - -.box-inv-6[Step 1: Center running variable + make threshold variable] - -```{r include=FALSE} -tutoring <- tutoring %>% - select(-tutoring_text) -``` - -.small-code[ -```{r} -tutoring_centered <- tutoring %>% - mutate(entrance_centered = entrance_exam - 70, - below_cutoff = entrance_exam <= 70) -head(tutoring_centered, 6) -``` -] - ---- - -# Parametric fuzzy RD - -.box-inv-6[Step 2: Use cutoff as instrument in 2SLS model] - -.small-code[ -```{r eval=FALSE} -# Bandwidth ± 10 -fuzzy1 <- iv_robust( - exit_exam ~ entrance_centered + tutoring | entrance_centered + below_cutoff, - data = filter(tutoring_centered, entrance_centered >= -10 & entrance_centered <= 10) -) - -tidy(fuzzy1) -``` - -```{r echo=FALSE} -# Bandwidth ± 10 -fuzzy1 <- iv_robust( - exit_exam ~ entrance_centered + tutoring | entrance_centered + below_cutoff, - data = filter(tutoring_centered, entrance_centered >= -10 & entrance_centered <= 10) -) - -tidy(fuzzy1) %>% select(1:5) -``` -] - ---- - -# Nonparametric fuzzy RD - -.box-inv-6[Use the `fuzzy` argument in `rdrobust()`] - -.box-6.small[Important! Specify actual treatment status,
    *not* the instrument of above/below the cutoff] - -.small-code[ -```{r eval=FALSE} -rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, fuzzy = tutoring$tutoring) %>% - summary() -``` - -```{r echo=FALSE, results="hide"} -rd_out <- rdrobust(y = tutoring$exit_exam, x = tutoring$entrance_exam, - c = 70, fuzzy = tutoring$tutoring) - -x <- capture.output(summary(rd_out)) -``` - -```{r show-rdrobust, echo=FALSE} -cat(x[17:22], sep = "\n") -``` -] diff --git a/slides/13-class.Rmd b/slides/13-class.Rmd deleted file mode 100644 index f6123a5c..00000000 --- a/slides/13-class.Rmd +++ /dev/null @@ -1,342 +0,0 @@ ---- -title: "Class 13: Choosing and planning ethical evaluations" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -library(scales) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 13 - -.class-info[ - -**November 14, 2022** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium[Control variables and confounding] - --- - -.box-3.medium[Ethics + pre-analysis plans] - --- - -.box-2.medium[Sharing your stuff] - --- - -.box-6.medium[Simulating data] - ---- - -layout: false -name: controls-confounding -class: center middle section-title section-title-5 animated fadeIn - -# Control variables
    and confounding - ---- - -layout: true -class: middle - ---- - -.box-5.large[Do we really not need to
    interpret every coefficient?!] - ---- - -.box-5.less-medium[Is there any harm in
    interpreting the coefficients anyway?] - -.box-5.less-medium[Should they be significant at least?
    Or have the expected ± sign?] - -??? - -Signs can reverse! - ---- - -.box-5.large[Table 2 fallacy] - -
    - -.small[ - -Daniel Westreich and Sander Greenland, "The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients," *American Journal of Epidemiology* 177, no. 4 (February 2013): 292--98, . - -Luke Keele, Randolph T. Stevenson, and Felix Elwert, "The Causal Interpretation of Estimated Associations in Regression Models," *Political Science Research and Methods* 8, no. 1 (January 2020): 1--13, . - -] - ---- - -.center[ -
    - R2 estimation vs prediction -
    -] - -??? - -You can't interpret coefficients when focused on causal inference because the focus is on the X, not the Y. In prediction world, where you want to look at the overall variance of Y, you can interpret each of the Xs while holding the others constant. When you care more about the X itself, though, the other covariates only serve to get that X as accurate as possible, not to explain the overall variation in Y - ---- - -.center[ -
    - Washington Monument in scaffolding, by Adam Fagen on Flickr -
    -] - -??? - - - ---- - -.center[ -
    - Barrel DAG -
    -] - ---- - -.box-5.less-medium[Why do we teach stats with the idea of throwing
    in a bunch of control variables if that's
    really not the best way to evaluate impact?] - -.box-5.less-medium[What is the point of using control variables
    if they aren't going to be interpreted?] - -.box-5.less-medium[How do we know which coefficients we
    need to ultimately worry about and interpret?] - ---- - -.box-5.large[Why did we control for things
    in the RCT section of problem set 8?] - ---- - -.box-5.large[How can you NOT have unobserved confounders unless you're doing a laboratory study where you can control everything?] - ---- - -.box-5.less-medium[Design-based inference seems easier since
    there's no unobserved confounding?

    Why don't we just do that all the time?] - -.box-5.less-medium[Model-based inference seems easier since
    there's no need for a special situation?

    Why don't we just do that all the time?] - -??? - -Yeah, but you have to discover weird situations. Like WWII submarine thing! - -- https://braddelong.substack.com/p/podcast-hexapodia-is-e-key-insight-331 -- Matthew Suandi, "Promoting to Opportunity: Evidence and Implications from the U.S. Submarine Service" - https://are.berkeley.edu/sites/are.berkeley.edu/files/job-candidates/paper/MatthewSuandi_JMP_Nov_21_Berkeley.pdf - ---- - -.box-5.less-medium[You said that choosing between
    model-based inference versus design-based
    inference is based on the situation that we are in.

    Which one of the approaches do you think
    will be used the most in the real world?] - ---- - -.box-5.large[Do we not need to use a DAG
    if we use one of
    the design-based methods?] - ---- - -.center[ -
    - Design-based DAGs -
    -] - ---- - -layout: false -name: ethics -class: center middle section-title section-title-3 animated fadeIn - -# Ethics +
    pre-analysis plans - ---- - -layout: true -class: middle - ---- - -.box-3.medium[Where can one publish their assumptions before running the numbers in research?] - -.center.float-left[[OSF.io](https://www.cos.io/initiatives/prereg)   [AsPredicted.org](https://aspredicted.org/)] - ---- - -.box-3[Do people really provide all their code and analysis in advance?
    What if you realize you made a mistake
    or want to explore something later?] - -.box-3[What if we have additional variables to investigate that we missed out during our simulation of fake data and pre-registration/pre-analysis stage? Can we add them once they have been registered?] - -.box-3[Does pre-registering include interactions
    or quadratics you want to test?] - ---- - -.center[[Standard operating procedures](https://github.com/acoppock/Green-Lab-SOP)] - -.center[—] - -.center[[Departures from preregistered plan](https://osf.io/x5w7h/wiki/02%20Departures%20from%20Preregistered%20Plan/)] - -.center[—] - -.center[[Example](https://www.andrewheiss.com/research/articles/chaudhry-heiss-ngos-philanthropy/)] - ---- - -.box-3.medium[Should you share the synthetic data
    as part of a preanalysis plan?] - ---- - -.box-3.medium[Does pre-registration kill
    creativity and "ah-ha" moments?] - -.center[[Example of confirmatory vs.
    exploratory preregistration](https://osf.io/hsbyd)] - ---- - -layout: false -name: sharing -class: center middle section-title section-title-2 animated fadeIn - -# Sharing your stuff - ---- - -class: middle - -.box-2.large[What can we put
    on our resumes now?] - ---- - -class: middle - -.box-2.large[Can I really just post R stuff
    on a website or on Twitter?] - -.box-2.large[It seems like that's what
    the experts do, not me!] - -.center.small[[(Public work)](https://evalsp22.classes.andrewheiss.com/slides/14-slides.html#133)] - ---- - -class: title title-2 - -# Websites for sharing R stuff - -.box-inv-2[Super easiest (but least flexible): [RPubs](https://rpubs.com/)] - --- - -.box-inv-2[Easiest (but less flexible): [R Markdown websites](https://rmarkdown.rstudio.com/lesson-13.html)] - -.center.small[[Example](https://stats.andrewheiss.com/who-cares-about-crackdowns/); [example](https://talks.andrewheiss.com/2021-seacen/)] - --- - -.box-inv-2.sp-before[What all the cool kids are starting to use: [Quarto websites](https://quarto.org/docs/websites/)] - -.center.small[[Example](https://evalf22.classes.andrewheiss.com/); [example](https://bayesf22-notebook.classes.andrewheiss.com/); [example](https://stats.andrewheiss.com/mountainous-mackerel/)] - --- - -.box-inv-2.sp-before[Hardest (but most flexible): [Blogdown](https://pkgs.rstudio.com/blogdown/)] - -.center.small[[Example](https://evalsp22.classes.andrewheiss.com/); [example](https://www.andrewheiss.com/)] - ---- - -class: middle - -.box-2.large[Quarto
    .small[(R Markdown 2.0)]] - -.center[[Quarto](https://quarto.org/)] - -.center.small[[Example PDF and Word templates](https://github.com/andrewheiss/hikmah-academic-quarto)] - ---- - -layout: false -name: fake-data -class: center middle section-title section-title-6 animated fadeIn - -# Simulating data - ---- - -class: title title-6 - -# Poisson in real life - -.center[ -
    - US household sizes, 2020 -
    -] - -??? - -https://twitter.com/andrewheiss/status/1397193876830576643 - ---- - -class: title title-6 - -# Basic process - -.box-inv-6.less-medium[1: Draw a DAG] - -.box-inv-6.less-medium[2: Create standalone exogenous columns] - -.box-inv-6.less-medium[3: Connect endogenous columns
    .small[Baseline + effect]] - -.box-inv-6.less-medium[4: Polish columns] - --- - -.box-6.large.sp-before-half[Iterate. Iterate so so much.] diff --git a/slides/13-slides.Rmd b/slides/13-slides.Rmd deleted file mode 100644 index f7d21c07..00000000 --- a/slides/13-slides.Rmd +++ /dev/null @@ -1,653 +0,0 @@ ---- -title: "Choosing and planning ethical evaluations" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(modelsummary) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Choosing and planning
    ethical evaluations - -.class-info[ - -**Session 13** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-4.medium.sp-after-half[Types of evaluations] - --- - -.box-1.medium.sp-after-half[Model- and design-based inference] - --- - -.box-6.medium.sp-after-half[Ethics and open science] - ---- - -layout: false -name: types-evaluations -class: center middle section-title section-title-4 animated fadeIn - -# Types of evaluations - ---- - -class: title title-4 - -# Types of evaluation - -.box-inv-4.sp-after[In this class we've focused on one type of evaluation] - --- - -.box-4.medium[Impact evaluation] - -.box-4.small.sp-after[Checking to see if the program causes outcomes] - --- - -.box-inv-4[There are lots of others!] - --- - -.box-inv-4[Each type focuses on a specific part of a logic model] - ---- - -.center[ -
    - Provo school district logic model -
    -] - ---- - -layout: true -class: title title-4 - ---- - -# Needs assessment - -.box-inv-4.medium[Formative evaluation / needs assessment] - --- - -.box-inv-4.sp-after[Is the program needed?
    What inputs and activities does it need?
    What outcomes does it need to cause?] - --- - -.box-4[Use interviews, surveys, focus groups with target population] - --- - -.box-4[Do *before* starting the program or when considering changes] - ---- - -# Process evaluation and monitoring - -.box-inv-4.medium[Process evaluation / program monitoring] - --- - -.box-inv-4.sp-after[Are inputs going to the right places?
    Are the activities working correctly?
    Are activities producing right levels of outputs?] - --- - -.box-4[Use monitoring systems, benchmarks,
    regular reports from within the program itself] - --- - -.box-4[Do *during* the program] - ---- - -# Process evaluation and monitoring - -.center[ -
    - Loddon Region Children and Youth Area Partnership Dashboard -
    -] - -??? - -Loddon Region Children and Youth Area Dashboard Partnership - - - ---- - -# Outcome evaluation - -.box-inv-4.medium[Outcome evaluation] - --- - -.box-inv-4.sp-after[Are activities and outputs leading to *initial* outcomes?
    (basically a short-term impact evaluation)] - --- - -.box-4[Use surveys, interviews, etc. with target population] - --- - -.box-4[Do *during* the program] - ---- - -# Cost-benefit analysis - -.box-inv-4.medium[Economic evaluation / cost-benefit analysis] - --- - -.box-inv-4.sp-after[Is the program worth it?
    Do the benefits of helping the target population
    outweigh the costs of running the program?] - --- - -.box-4.SMALL[Monetize all program costs and benefits, apply a discount factor, convert all costs to net present value, subtract NPV of costs from NPV of benefits] - --- - -.box-4[Do *during* or at the end of the program] - ---- - -# Cost-benefit analysis - -.center[ -
    - Car backup camera CBA -
    -] - -??? - - - ---- - -# Impact evaluation - -.box-inv-4.medium[Impact evaluation] - --- - -.box-inv-4.sp-after[Does the program cause lasting change?
    (What we did this semester)] - --- - -.box-4[Use causal inference tools] - --- - -.box-4[Do *during* or at the end of the program] - ---- - -# Impact evaluation - -
    - Program effect -
    - ---- - -# Types of evaluation - -.box-inv-4[Needs assessment] - -.box-inv-4[Process evaluation and monitoring] - -.box-inv-4[Outcome evaluation] - -.box-inv-4[Cost-benefit analysis] - -.box-inv-4.sp-after[Impact evaluation] - --- - -.box-4.medium[You can take entire classes for just one type!] - ---- - -layout: false -name: model-design-inference -class: center middle section-title section-title-1 animated fadeIn - -# Model- and
    design-based
    inference - ---- - -layout: true -class: title title-1 - ---- - -# Choosing a method - --- - -.box-inv-1[We just learned a *ton* of different methods for causal inference!] - --- - -.float-left.center[.box-1[DAGs] .box-1[Matching] .box-1[Inverse probability weighting]] - --- - -.float-left.center[.box-1[Randomized controlled trials] .box-1[Difference-in-differences]] - --- - -.float-left.center[.box-1[Regression discontinuity] .box-1[Instrumental variables]] - --- - -.box-inv-1.medium.sp-before[How do you know
    which one to use and when?] - ---- - -# Identification strategies - -.box-inv-1.small.sp-after[The goal of *all* these methods is to isolate
    (or **identify**) the arrow between treatment → outcome] - --- - -.box-inv-1.less-medium[Model-based identification] - -.float-left.center[.box-1[DAGs] .box-1[Matching] .box-1[Inverse probability weighting]] - --- - -.box-inv-1.less-medium.sp-before[Design-based identification] - -.float-left.center[.box-1[Randomized controlled trials] .box-1[Difference-in-differences]] - -.float-left.center[.box-1[Regression discontinuity] .box-1[Instrumental variables]] - ---- - -# Model-based identification - -.box-inv-1[Use a DAG and *do*-calculus to isolate arrow] - -.pull-left[ -
    - Education earnings DAG -
    -] - -.pull-right[ -.box-1[Core assumption:
    selection on observables] - -.box-inv-1.small[Everything that needs to
    be adjusted is measurable;
    no unobserved confounding] - -.box-inv-1.small[**Big assumption!**] - -.box-inv-1.tiny[This is why lots of people don't like DAG-based adjustment] -] - ---- - -# Design-based identification - -.box-inv-1[Use a special situation to isolate arrow] - -.pull-left[ -.box-1[RCTs] - -.box-inv-1.small[Use randomization
    to remove confounding] - -.center[ -
    - RCT DAG -
    -] -] - --- - -.pull-right[ -.box-1[Difference-in-differences] - -.box-inv-1.small[Use before/after & treatment/control
    differences to remove confounding] - -.center[ -
    - Diff-in-diff DAG -
    -] -] - ---- - -# Design-based identification - -.box-inv-1[Use a special situation to isolate arrow] - -.pull-left[ -.box-1[Regression discontinuity] - -.box-inv-1.small[Use cutoff
    to remove confounding] - -.center[ -
    - RDD DAG -
    -] -] - --- - -.pull-right[ -.box-1[Instrumental variables] - -.box-inv-1.small[Use instrument
    to remove confounding] - -.center[ -
    - IV DAG -
    -] -] - ---- - -# Which kind is better? - -.pull-left[ -.box-inv-1.SMALL[Model-based advantages] - -.box-1.small[You don't need to wait for
    a special circumstance to emerge!] - -.box-1.small[Use existing datasets] - -
    - -.box-inv-1.SMALL[Model-based disadvantages] - -.box-1.small[The DAG has to be super correct] - -.box-1.small[You can't adjust your way
    out of unobserved confounding] -] - --- - -.pull-right[ -.box-inv-1.SMALL[Design-based advantages] - -.box-1.small[Unobserved confounding
    is less of a problem!] - -
    - -.box-inv-1.SMALL[Design-based disadvantages] - -.box-1.small[You need a specific situation] - -.box-1.small[You need randomization,
    treatment/control+before/after,
    some arbitrary cutoff,
    or some obscure instrument] -] - ---- - -# Controlling for stuff - -.pull-left[ -.box-inv-1.SMALL[It's *super* tempting to
    throw a bunch of control
    variables in a model] - -.box-1.smaller.sp-after[This is likely what you did in past stats classes!] - -.box-inv-1.SMALL.sp-after[It's *super* tempting to interpret
    each of those coefficients] - -.box-1.medium[Don't!] -] - -.pull-right.center[ - -
    - Standard coefficient table -
    - -] - ---- - -# Controlling for stuff - --- - -.box-inv-1[When focusing on isolating the treatment → outcome arrow,
    arrows between/from other nodes are less meaningful] - --- - -.box-inv-1.sp-after[You also don't pick up their full effects!] - --- - -.box-1["[E]ven valid controls are often correlated with
    other unobserved factors, which renders their marginal
    effects uninterpretable from a causal inference perspective"
    .small[(Hünermund and Louw 2020, p. 2)]] - ---- - -# Controlling for stuff - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    MethodControlsMinimum model
    Matching/IPWUse for matching,
    propensity scores    		outcome ~ treatment, matched_data
    outcome ~ treatment, weights
    RCTsNot really necessaryoutcome ~ treatment
    Diff-in-diffNot really necessary,
    use if DAG says to    		outcome ~ treatment + after + treatment*after
    RDDNot really necessaryoutcome ~ running_var + cutoff
    IVNot really necessary,
    use if DAG says to    		treatment_hat ~ instrument
    outcome ~ treatment_hat
    - ---- - -# Guidelines - -.box-inv-1.SMALL[Your choice of method depends on the situation + the available data] - -.center[ -
    - Evaluation method selection -
    Table 11.1 from Impact Evaluation in Practice, p. 191
    -
    -] - -??? - -Table 11.1 on p. 191 - -Focus on recipients/beneficiaries - depends on resources. If everyone can use it (fully resourced), let people access it. Randomize in phases, use a cutoff, randomly promote, diff-in-diff. If not everyone can use it, use a lottery, or randomly promote, or use a cutoff - ---- - -layout: false -name: ethics-open-science -class: center middle section-title section-title-6 animated fadeIn - -# Ethics and open science - ---- - -layout: true -class: title title-6 - ---- - -# Ethics of evaluating programs - -.box-inv-6[Social programs are designed to help people] - --- - -.box-inv-6[In order to evaluate them, you need
    some people to **not use the program**] - --- - -.box-inv-6.sp-after[Control groups are essential for causal inference!] - --- - -.box-6["Groups should not be excluded from an intervention that
    is known to be beneficial solely for the purpose of an evaluation"
    .small[(*Impact Evaluation in Practice*, p. 233)]] - ---- - -# Ethical control groups - -.center[ -
    - Evaluation method selection -
    Table 11.1 from Impact Evaluation in Practice, p. 191
    -
    -] - ---- - -# Ethical evaluation practices - -.box-inv-6.medium[Follow IRB guidelines] - -.center.float-left.small.sp-after[.box-6[Respect for persons] .box-6[Beneficence] .box-6[Justice]] - --- - -.box-inv-6.medium.sp-after[Make sure participants give informed consent] - --- - -.box-inv-6.medium[Maintain privacy] - -.box-6.small[Any published data needs to be be de-identified] - -??? - -- Respect = informed consent, autonomy -- Beneficence = no harm; maximize potential benefits, minimize potential harm -- Justice = benefits and burdens of research are fairly and equitably shared - ---- - -# Ethical open science practices - -.pull-left[ -.box-inv-6.less-medium[Preregistration] - -.box-6.small.sp-after[Prevents file drawer problem +
    p-hacking] - -.box-inv-6.less-medium[Preanalysis plan] - -.box-6.small[Prevents p-hacking, data mining,
    multiple hypothesis testing] -] - --- - -.pull-right[ -.box-inv-6.less-medium[Replication] - -.box-6.small.sp-after[Ensures that others can find
    same results with your data] - -.box-inv-6.less-medium[Documentation] - -.box-6.small[Ensures that others know
    what you're measuring] -] - ---- - -layout: false - -.center[ -
    - Evaluation and open sicence practices -
    Table 13.1 from Impact Evaluation in Practice, p. 238
    -
    -] - ---- - -class: title title-6 - -# Synthetic data - -.box-inv-6[It feels weird to say that making fake data
    helps with good open science practices!] - --- - -.box-6.sp-after[But it does!] - --- - -.box-inv-6[Make your pre-analysis plan based on simulated data] - --- - -.box-inv-6[Do whatever statistical shenanigans
    you want with the fake data] diff --git a/slides/14-class.Rmd b/slides/14-class.Rmd deleted file mode 100644 index 2ccc9bc0..00000000 --- a/slides/14-class.Rmd +++ /dev/null @@ -1,227 +0,0 @@ ---- -title: "Class 14: Fake data, ethics, and curiosity" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r packages-data, include=FALSE} -library(tidyverse) -library(kableExtra) -library(scales) -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-3 - -# In-person
    session 14 - -.class-info[ - -**November 29, 2021** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-5.medium[Control variables and confounding] - --- - -.box-3.medium[Ethics + pre-analysis plans] - --- - -.box-2.medium[Sharing your stuff] - --- - -.box-6.medium[Simulating data] - ---- - -layout: false -name: controls-confounding -class: center middle section-title section-title-5 animated fadeIn - -# Control variables
    and confounding - ---- - -layout: true -class: middle - ---- - -.box-5.less-medium[Why do we teach stats with the idea of throwing
    in a bunch of control variables if that's
    really not the best way to evaluate impact?] - -.box-5.less-medium[What is the point of using control variables
    if they aren't going to be interpreted?

    When do we or when do we not interpret our controls?] - ---- - -.box-5.large[How can you NOT have unobserved confounders unless you're doing a laboratory study where you can control everything?] - ---- - -.box-5.medium[Design-based inference seems easier since
    there's no unobserved confounding?

    Why don't we just do that all the time?] - -??? - -Yeah, but you have to discover weird situations. Like WWII submarine thing! - -- https://braddelong.substack.com/p/podcast-hexapodia-is-e-key-insight-331 -- Matthew Suandi, "Promoting to Opportunity: Evidence and Implications from the U.S. Submarine Service" - https://are.berkeley.edu/sites/are.berkeley.edu/files/job-candidates/paper/MatthewSuandi_JMP_Nov_21_Berkeley.pdf - ---- - -.center[ -
    - WWII torpedo -
    -] - -??? - -Via : - -- In the early stages of the Pacific War, whether a US submarine-launched torpedo exploded was a matter of luck. -- If a submarine captain had an enlisted man marked out for promotion, those promotions happened much more often if the submarine returned from its cruise having succeeded in sinking ships. -- Those promoted because they happened to be on lucky submarines with torpedoes that exploded lived 2.4 years longer than their counterparts who happened to be on unlucky submarines and were not promoted. -- Those promoted because they happened to be on lucky submarines with torpedoes that exploded are recorded as having a last known address in a zip code with housing prices higher by 7 percentiles than their counterparts who happened to be on unlucky submarines and were not promoted. -- Early promotion to a job with more responsibility and scope—at least in the WWII-era USN—shapes your life to a remarkable degree by giving you scope to develop and exercise your talents. -- If the WWII-era USN is typical, we waste huge amounts of human potential by not giving people workplace opportunities to show what they can learn to do. -- Equality isn’t just about money: it is about scope for action, about developing and exercising talents, and about receiving external validation. -- A good society would give people much more opportunity to discover how big a deal they are and can become, and remind them of this at every opportunity. - ---- - -layout: false -name: ethics -class: center middle section-title section-title-3 animated fadeIn - -# Ethics +
    pre-analysis plans - ---- - -layout: true -class: middle - ---- - -.box-3.medium[Do people really provide all their code
    and analysis in advance?
    What if you realize you made a mistake
    or want to explore something later?] - -.box-3.medium[Does pre-registration kill
    creativity and "ah-ha" moments?] - ---- - -.box-3.medium[[Example of confirmatory vs.
    exploratory preregistration](https://osf.io/hsbyd)] - -.box-3.medium[[Standard operating procedures](https://github.com/acoppock/Green-Lab-SOP)] - ---- - -layout: false -name: sharing -class: center middle section-title section-title-2 animated fadeIn - -# Sharing your stuff - ---- - -class: middle - -.box-2.large[What can we put
    on our resumes now?] - ---- - -class: middle - -.box-2.large[Can I really just post R stuff
    on a website or on Twitter?] - -.box-2.large[It seems like that's what
    the experts do, not me!] - -.center.small[[(Public work)](https://evalsp22.classes.andrewheiss.com/slides/14-slides.html#133)] - ---- - -class: title title-2 - -# Websites for sharing R stuff - -.box-inv-2[Super easiest (but least flexible): [RPubs](https://rpubs.com/)] - --- - -.box-inv-2[Easiest (but less flexible): [R Markdown websites](https://rmarkdown.rstudio.com/lesson-13.html)] - -.box-2.small[[Example](https://stats.andrewheiss.com/who-cares-about-crackdowns/); [example](https://talks.andrewheiss.com/2021-seacen/)] - --- - -.box-inv-2.sp-before[Medium-est: [Distill](https://rstudio.github.io/distill/)] - -.box-2.small[[Example](https://www.pipinghotdata.com/)] - --- - -.box-inv-2.sp-before[Hardest (but most flexible): [Blogdown](https://pkgs.rstudio.com/blogdown/)] - -.box-2.small[[Example](https://evalsp22.classes.andrewheiss.com/); [example](https://www.andrewheiss.com/)] - ---- - -layout: false -name: fake-data -class: center middle section-title section-title-6 animated fadeIn - -# Simulating data - ---- - -class: title title-6 - -# Basic process - -.box-inv-6.medium[1: Create individual columns] - -.box-inv-6.medium[2: Connect columns] - -.box-inv-6.medium[3: Polish columns] - --- - -.box-6.large.sp-before[Iterate. Iterate so so much.] diff --git a/slides/14-slides.Rmd b/slides/14-slides.Rmd deleted file mode 100644 index 35779dee..00000000 --- a/slides/14-slides.Rmd +++ /dev/null @@ -1,1374 +0,0 @@ ---- -title: "Ethics, stories, and curiosity" -author: "Andrew Heiss" -date: "`r Sys.Date()`" -output: - xaringan::moon_reader: - lib_dir: "libs" - chakra: "libs/remark-latest.min.js" - css: ["default", "css/ath-slides.css", "css/ath-inferno-fonts.css", "css/animate.css"] - seal: false - anchor_sections: false - nature: - highlightStyle: github - highlightLines: true - countIncrementalSlides: false - ratio: "16:9" - navigation: - scroll: false -editor_options: - chunk_output_type: console ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(warning = FALSE, message = FALSE, - fig.retina = 3, fig.align = "center") -``` - -```{r xaringanExtra, echo=FALSE} -xaringanExtra::use_xaringan_extra(c("tile_view")) -``` - -class: center middle main-title section-title-7 - -# Ethics, stories,
    and curiosity - -.class-info[ - -**Session 14** - -.light[PMAP 8521: Program evaluation
    -Andrew Young School of Policy Studies -] - -] - ---- - -name: outline -class: title title-inv-8 - -# Plan for today - --- - -.box-4.medium.sp-after-half[What did we just learn?] - --- - -.box-6.medium.sp-after-half[Ethics of data analytics] - --- - -.box-2.medium.sp-after-half[Ethics of storytelling] - --- - -.box-5.medium.sp-after-half[Curiosity] - ---- - -layout: false -name: overview -class: center middle section-title section-title-4 animated fadeIn - -# What did we just learn? - ---- - -.center[ -
    - Course objectives -
    -] - ---- - -class: middle - -.center[ -
    - Class flowchart -
    -] - ---- - -class: title title-4 - -# Main takeaways - --- - -.box-inv-4.medium.sp-after[Don't be afraid of causal language!] - --- - -.box-4.medium[With careful use of DAGs
    and special research designs,
    you can make causal claims] - ---- - -class: bg-full -background-image: url("img/14/the-c-word.png") - ---- - -layout: false -name: ethics-analysis -class: center middle section-title section-title-6 animated fadeIn - -# Ethics of data analytics - ---- - -layout: true -class: title title-6 - ---- - -# Powerful tools - --- - -.box-inv-6.medium.sp-after-half[R is an incredibly valuable skill] - --- - -.box-inv-6.medium.sp-after-half[Causal inference is an incredibly valuable skill] - --- - -.box-6.medium.sp-after-half[These tools can be used to improve the world!] - --- - -.box-6.medium[And potentially harm it] - ---- - -# Possible pitfalls - --- - -.box-inv-6.medium[Manipulation] - -.box-6.small[Don't coerce people] - --- - -.box-inv-6.medium[Bias] - -.box-6.small[There's no such thing as objective data or models] - --- - -.box-inv-6.medium[Accidental evil] - -.box-6.small[Don't let stupidity transform into evil] - ---- - -layout: false -name: analysis-manipulation -class: center middle section-title-inv section-title-inv-6 - -# Manipulation - ---- - -class: middle - -.center[ -
    - The Good Place -
    -] - ---- - -class: middle - -.center[ -
    - The Good Place point system -
    -] - ---- - -class: middle - -.center[ -
    - Wired social score cover -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - China bus -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Instagram ranking -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Blue Feed, Red Feed -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Blue Feed, Red Feed Example -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Facebook like everything -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Reply All Facebook Spying -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Target pregnant teen -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Airline seating -
    -] - -??? - - - ---- - -class: title title-6 - -# It's not all dystopian! - -.pull-left.center[ -
    - Precision medicine Obama -
    -] - -.pull-right.center[ -
    - Crisis text line -
    -] - -??? - - - - - ---- - -class: middle - -.box-6.medium[What makes the social score
    and the crisis score
    ethically different?] - -.box-inv-6.medium[Or are they the same thing?] - ---- - -class: title title-6 - -# Avoid manipulation - --- - -.box-inv-6.medium.sp-after-half[Think about people] - --- - -.box-inv-6.medium.sp-after-half[Think about autonomy] - --- - -.box-inv-6.medium.sp-after-half[Don't rely 100% on data!] - ---- - -layout: false -name: analysis-bias -class: center middle section-title-inv section-title-inv-6 - -# Bias - ---- - -class: middle - -.center[ -
    - Predictim article -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Predictim article excerpt -
    -] - ---- - -class: middle - -.center[ -
    - Predictim score -
    -] - ---- - -class: bg-full -background-image: url("img/14/bias-books.png") - ---- - -.center[ -
    - Amazon hiring -
    -] - --- - -.center[ -
    - COMPAS bias -
    -] - -??? - - - - - ---- - -class: middle - -.center[ -
    - Facebook in ProPublica -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Facebook HUD case -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Apple card -
    -] - ---- - -class: title title-6 - -# Avoid bias - --- - -.box-inv-6.medium.sp-after-half[Make sure your sample is representative] - --- - -.box-inv-6.medium.sp-after-half[Think about theory] - --- - -.box-6.medium.sp-after-half[Remember that **NO** data,
    models, or algorithms are neutral] - ---- - -class: title title-6 - -# Fight the algorithms - -.center.tiny.light[*Very feebly, but still…*] - --- - -.box-inv-6.medium.sp-before.sp-after-half[Incognito / private windows] - --- - -.box-inv-6.medium[adsettings.google.com] - ---- - -layout: false -name: analysis-evil -class: center middle section-title-inv section-title-inv-6 - -# Accidental(?) evil - ---- - -class: middle - -.center[ -
    - Eric Meyer algorithmic cruelty -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - Uber self-driving car crash -
    -] - -??? - - - ---- - -class: middle - -.center[ -
    - NYT fake news on Facebook -
    -] - -??? - - - ---- - -class: bg-full -background-image: url("img/14/youtube-radicalization.png") - -??? - - - ---- - -class: bg-full -background-image: url("img/14/youtube-algorithm.jpg") - -??? - - - ---- - -class: bg-full -background-image: url("img/14/bad-ai-tweets.png") - -??? - - - - - ---- - -layout: false -name: telling-stories -class: center middle section-title section-title-2 animated fadeIn - -# Ethics of storytelling - ---- - -layout: true -class: title title-2 - ---- - -# Stories as art - -.box-inv-2.large[**Stories** are an *art form* for
    translating core, essential **content**
    to different **forms**
    for specific **audiences**.] - ---- - -# Every story is the same - -.center[ - -] - -??? - -Will Schoder, "Every Story is the Same", https://www.youtube.com/watch?v=LuD2Aa0zFiA - ---- - -# Heroes - -.pull-left.center[ -
    - The Hero's Journey -
    -] - -.pull-right.center[ -
    - The Story Cycle -
    -] - -??? - -https://commons.wikimedia.org/wiki/File:Heroesjourney.svg - -5:35 from Will Schoder, "Every Story is the Same", https://www.youtube.com/watch?v=LuD2Aa0zFiA - ---- - -# You are not the hero - -  - -.center[ -
    - Bad slides -
    From Cole Nussbaumer Knaflic, Storytelling with Data: A Data Visualization Guide for Business Professionals
    -
    -] - ---- - -# Should you tell stories though? - -.pull-left.center[ -
    - Storytelling -
    -] - --- - -.pull-right.center[ -
    - Against storytelling -
    -] - -??? - -https://www.nature.com/articles/nmeth.2699 - -https://www.nature.com/articles/nmeth.2571 - ---- - -# Possible pitfalls - --- - -.box-inv-2.medium[Manipulation] - -.box-2.small[Don't lie or manipulate data] - -  - --- - -.pull-left[ -.box-inv-2.medium[Misinterpretation] - -.box-2.small[Temper expectations] -] - --- - -.pull-right[ -.box-inv-2.medium[Equity] - -.box-2.small[Don't dumb down] - -.box-2.small[Amplify underrepresented voices] -] - ---- - -layout: false -name: stories-manipulation -class: center middle section-title-inv section-title-inv-2 - -# Manipulation - ---- - -class: center middle - -
    - This American Life -
    - -??? - -https://www.thisamericanlife.org/555/the-incredible-rarity-of-changing-your-mind - ---- - -class: bg-full -background-image: url("img/14/lacour-story.png") - -??? - -[The Case of the Amazing Gay-Marriage Data: How a Grad Student Uncovered a Huge Fraud](https://slate.com/culture/2015/06/gay-marriage-study-faked-how-grad-student-david-broockman-uncovered-a-huge-scientific-fraud.html) - ---- - -  - -.pull-left.center[ -
    - Irregularities in LaCour -
    -] - --- - -.pull-right.center[ -
    - Durably reducing transphobia -
    -] - -??? - -https://dx.doi.org/10.1126/science.aad9713 - ---- - -class: title title-2 - -# Manipulation - --- - -.box-inv-2.medium.sp-after[Don't lie] - --- - -.box-inv-2.medium[Emphasize the story,
    but make full data available] - ---- - -name: stories-misrepresentation -class: center middle section-title-inv section-title-inv-2 - -# Misrepresentation - ---- - -.pull-left.center[ -
    - Outliers -
    -] - --- - -.pull-right.center[ -.box-2.medium[**10,000 hours**] - -.box-inv-2["the magic number
    of greatness"] -] - --- - -.center[ -
    - Deliberate practice -
    -] - -??? - -https://doi.org/10.1037/0033-295X.100.3.363 - -https://graphics8.nytimes.com/images/blogs/freakonomics/pdf/DeliberatePractice(PsychologicalReview).pdf - ---- - -.pull-left.center[ -
    - Training history -
    -] - --- - -.pull-right.center[ -.box-inv-2[“[A] popularized but simplistic view of our work, which suggests that anyone who has accumulated sufficient number of hours of practice in a given domain will automatically become an expert and a champion.”] -] - - --- - -.center[ -.box-2[10,000 is average • Quality matters • There are other factors] -] - - -??? - -https://bjsm.bmj.com/content/47/9/533.long - ---- - -class: title title-2 - -# Misinterpretation - --- - -.box-inv-2.medium.sp-after[Be narrative, but not too narrative] - --- - -.box-inv-2.medium[Temper expectations] - ---- - -layout: false -name: stories-equity -class: center middle section-title-inv section-title-inv-2 - -# Equity - ---- - -layout: true -class: title title-2 - ---- - -# Dumbing down vs. translation - -.center[ - -] - -??? - -Wired, "Neuroscientist Explains One Concept in 5 Levels of Difficulty", https://www.youtube.com/watch?v=opqIa5Jiwuw - -Alvin Stone, ["The arrogance of 'dumbing it down'"](https://www.linkedin.com/pulse/arrogance-dumbing-down-alvin-stone/) - ---- - -# Translation - -.pull-left.center[ -
    - Walter Benjamin -
    -] - -.pull-right[ -.box-inv-2[“…the task of the translator consists in finding that intended effect upon the language into which he is translating which produces in it the echo of the original”] - -.box-2.small[Walter Benjamin,
    *The Task of the Translator*] -] - -??? - -https://en.wikipedia.org/wiki/Walter_Benjamin#/media/File:Walter_Benjamin_vers_1928.jpg - ---- - -layout: false -class: bg-full -background-image: url("img/14/up-goer-five@3x.png") - -??? - -https://xkcd.com/1133/ - - - ---- - -class: center middle - -
    - Dilbert on sexism -
    - -??? - -https://slate.com/human-interest/2014/04/how-to-explain-bitcoin-to-y-our-mom-the-new-york-times-thinks-mothers-are-idiots.html - -https://geekfeminism.wikia.org/wiki/So_simple,_your_mother_could_do_it - ---- - -class: center middle - -
    - Casey Johnston mansplained -
    - -??? - -https://twitter.com/caseyjohnston/status/541246857385893888 - -https://twitter.com/tsancio/status/541284790314762240 - ---- - -class: bg-full -background-image: url("img/14/gender-citation-gap.png") - -??? - -Women engineers publish their papers in journals with higher impact factors than their male peers, but their work receives lower recognition (fewer citations) from the scientific community - ---- - -class: bg-full -background-image: url("img/14/news-gender-balance.png") - -??? - -http://www.womensmediacenter.com/reports/whotalks-cable-news-analysts-gender-in-2016-presidential-election-project-t -28% overall average - ---- - -.pull-left.center[ -
    - Women Also Know Stuff -
    -] - -??? - -https://womenalsoknowstuff.com/ - -https://twitter.com/LGBTscholars - -https://twitter.com/POCalsoknow - -https://twitter.com/AWPARocks - --- - -.pull-right.center[ -
    - Other 'know stuff' accounts -
    -] - ---- - -.center[ -
    - Gender Balance Assessment Tool -
    -] - -.box-2[https://jlsumner.shinyapps.io/syllabustool/] - ---- - -class: title title-2 - -# Equity - --- - -.box-inv-2.medium.sp-after-half[Don't dumb down your findings] - --- - -.box-inv-2.medium.sp-after-half[You are a translator] - --- - -.box-inv-2.medium.sp-after-half[Treat audience with respect] - --- - -.box-inv-2.medium[Amplify underrepresented voices] - ---- - -layout: false -name: curiosity -class: center middle section-title section-title-5 animated fadeIn - -# Curiosity - ---- - -layout: true -class: title title-5 - ---- - -# How do I keep learning R? - -.box-inv-5.medium[What class should I take next?] - -.box-inv-5.medium[What book should I read next?] - ---- - -# How do I keep learning R? - -.box-inv-5.medium[~~What class should I take next?~~] - -.box-inv-5.medium.sp-after[~~What book should I read next?~~] - --- - -.box-5.large[Be curious!] - ---- - -# Teaching yourself - -.center[ -
    - @AstroKatie on googling -
    -] - - -??? - -https://twitter.com/AstroKatie/status/1071442842873159681 - ---- - -layout: false -class: bg-full -background-image: url("img/14/slate-coding.png") - -??? - -https://slate.com/human-interest/2018/12/against-teaching-kids-to-code-creativity-problem-solving.html - ---- - -class: bg-full -background-image: url("img/14/slate-coding-text.png") - - -??? - -https://slate.com/human-interest/2018/12/against-teaching-kids-to-code-creativity-problem-solving.html - ---- - -layout: true -class: title title-5 - ---- - -# Two secrets to master R - --- - -.box-inv-5.large.sp-after[1: Find excuses to use it] - --- - -.box-inv-5.large[2: Share and work in public] - ---- - -layout: false -class: center middle section-title-inv section-title-inv-5 - -# Find excuses to use R - ---- - -layout: true -class: title title-5 - ---- - -# Playing with R - --- - -.box-inv-5.medium[Little exploration projects] - --- - -.box-inv-5.medium[\#TidyTuesday] - --- - -.box-inv-5.medium[Data play time] - --- - -.box-inv-5.medium[Actual projects] - ---- - -layout: false - -.center[ -
    - Mini projects folder -
    -] - ---- - -.center[ -
    - Most aggressive characters in Harry Potter -
    -] - -??? - -https://github.com/andrewheiss/Harry-Potter-aggression - ---- - -.center[ -
    - 2014 family walks -
    -] - ---- - -.center[ -
    - Rachel 2014 books -
    -] - ---- - -layout: false -class: center middle section-title-inv section-title-inv-5 - -# Radical transparency
    and public work - ---- - -class: middle - -.box-5.medium[How we normally think of our work and goals] - -.center[ -
    - How we normally think of our work and goals -
    -] - -??? - -https://rstudio.com/resources/rstudioconf-2019/the-unreasonable-effectiveness-of-public-work/ - ---- - -class: middle - -.box-5.medium[How we should think of our work and goals] - -.center[ -
    - How we should think of our work and goals -
    David Robinson, The unreasonable effectiveness of public work"
    -
    -] - -??? - -https://rstudio.com/resources/rstudioconf-2019/the-unreasonable-effectiveness-of-public-work/ - ---- - -layout: true -class: title title-5 - ---- - -# Benefits of working in public - --- - -.box-inv-5[Build reputation] - --- - -.box-inv-5[Learn more] - --- - -.box-inv-5[Grow the community] - --- - -.box-inv-5[Early feedback on ideas] - --- - -.box-inv-5[Validation] - ---- - -layout: false -class: bg-full -background-image: url("img/14/blog-rejection-map.png") - -??? - -https://www.andrewheiss.com/blog/2018/12/17/academic-job-market-visualized/ - ---- - -class: bg-full -background-image: url("img/14/blog-rejection-website.png") - -??? - -https://www.andrewheiss.com/blog/2018/12/17/academic-job-market-visualized/ - ---- - -class: bg-full -background-image: url("img/14/blog-rejection-github.png") - -??? - -https://www.andrewheiss.com/blog/2018/12/17/academic-job-market-visualized/ - ---- - -layout: true -class: title title-5 - ---- - -# How to work in public - --- - -.box-inv-5.medium[Tweet, blog, and meet people] - --- - -.box-inv-5.medium[Play with data in public] - --- - -.box-inv-5.medium[Teach concepts (for yourself too!)] - ---- - -# Communities - --- - -.box-inv-5.medium[\#rstats] - --- - -.box-inv-5.medium[R User Groups] - --- - -.box-inv-5.medium[\#rladies] - --- - -.box-inv-5.medium[Rmd websites, blogdown, bookdown] - ---- - -# Play with data in public - -.center[ -
    - Blog post on Polity IV data -
    -] - -??? - -https://www.andrewheiss.com/blog/2017/08/26/quickly-play-with-polity-iv-and-oecd-data-and-see-the-danger-of-us-democracy/ - ---- - -layout: false -class: bg-full -background-image: url("img/14/blog-nlp.png") - -??? - -https://www.andrewheiss.com/blog/2018/12/26/tidytext-pos-john/ - -https://www.andrewheiss.com/blog/2018/12/28/tidytext-pos-arabic/ - ---- - -class: title title-5 - -# Teach a concept - -.center[ -
    - Blog post on finding the difference in means -
    -] - -??? - -https://www.andrewheiss.com/blog/2019/01/29/diff-means-half-dozen-ways/ - ---- - -class: bg-full -background-image: url("img/14/blog-chidi.png") - -??? - -https://www.andrewheiss.com/blog/2019/02/16/algebra-calculus-r-yacas/ - ---- - -layout: false -class: center middle section-title section-title-5 animated fadeIn - -# You are all expert
    enough now. - ---- - -class: center middle section-title section-title-5 animated fadeIn - -# Go correctly
    find causal effects! diff --git a/slides/casen2020_inf.Rdata b/slides/casen2020_inf.Rdata new file mode 100644 index 00000000..a10997d4 Binary files /dev/null and b/slides/casen2020_inf.Rdata differ diff --git a/slides/casen2022_inf2.Rdata b/slides/casen2022_inf2.Rdata new file mode 100644 index 00000000..7570ce81 Binary files /dev/null and b/slides/casen2022_inf2.Rdata differ diff --git a/slides/correlacional-slides.Rproj b/slides/correlacional-slides.Rproj new file mode 100644 index 00000000..d3ac0180 --- /dev/null +++ b/slides/correlacional-slides.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: XeLaTeX + +AutoAppendNewline: Yes diff --git a/slides/css/custom_2020.css b/slides/css/custom_2020.css new file mode 100644 index 00000000..c4b3b19e --- /dev/null +++ b/slides/css/custom_2020.css @@ -0,0 +1,441 @@ +/* ------------------------------------------------------- + * + * !! 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-999,62.2,69.3,TRUE -1000,83.5,61.1,FALSE diff --git a/slides/ejercicios/muestra_aleatoria.R b/slides/ejercicios/muestra_aleatoria.R new file mode 100644 index 00000000..c461f9e9 --- /dev/null +++ b/slides/ejercicios/muestra_aleatoria.R @@ -0,0 +1,27 @@ +pacman::p_load(googlesheets4, dplyr) + + +# Data Dados +data_dados <- read_sheet("https://docs.google.com/spreadsheets/d/1YrMd_ds5zHgQWrdjYcX5Diwv7bQHDzf5r2A0oYWriyA") +names(data_dados) +summary(data_dados) +data_dados %>% select(caso1:caso5) %>% slice(1L) %>% sd() # check + +sd(data_dados$Prom)# sd de los promedios, para comparar con los SEs + +hist(data_dados$Prom, breaks = 15) + +# Datos simulados, 15 muestras 30 casos c/u + +df <- as.data.frame(matrix(round(runif(n=450, min=1, max=6), 0), nrow=15)) + +dim(df) + +df$promedio <- df %>% rowMeans() # agregar promedio + +hist(df$promedio) +sd(df$promedio) + +sd <- apply(df, 1, sd) + +df$sd_muestras <-sd diff --git a/slides/ejercicios_casen.R b/slides/ejercicios_casen.R new file mode 100644 index 00000000..6797d952 --- /dev/null +++ b/slides/ejercicios_casen.R @@ -0,0 +1,21 @@ + +pacman::p_load(haven, dplyr,sjmisc, stargazer) + + + +casen2022 <- read_dta("/home/juank/Downloads/Base de datos Casen 2022 STATA.dta") +summary(casen2022$y0101) #pregunta ingreso principal: y0101 Asalariados principal - Sueldos y salarios monetario +summary(casen2022$sexo) # 1=hombre, 2=mujer + +casen2020_inf <- casen2022 %>% select(y0101,sexo) +casen2020_inf <-na.omit(casen2020_inf) +casen2020_inf <- casen2020_inf %>% rename("Salario"=y0101) + +stargazer(as.data.frame(casen2020_inf), type = "text") + +confint(casen2020_inf$Salario) +save(casen2020_inf, file = "casen2020_inf.Rdata") +rm(list = c('casen2022')) + + + diff --git a/slides/ejercicios_inf.Rmd b/slides/ejercicios_inf.Rmd new file mode 100644 index 00000000..15e91189 --- /dev/null +++ b/slides/ejercicios_inf.Rmd @@ -0,0 +1,60 @@ + + +```{r} +pacman::p_load(sjmisc, haven, dplyr, stargazer, interpretCI, kableExtra) +casen2022 <- read_dta("/home/juank/Downloads/Base de datos Casen 2022 STATA.dta") +casen2022_inf <- casen2022 %>% + select(y1,sexo,e6a_no_asiste) # seleccionar variables +casen2022_inf <- casen2022_inf %>% + rename("salario"=y1,"educacion"=e6a_no_asiste ) #renombrar +casen2022_inf <-na.omit(casen2022_inf) # sacar perdidos +casen2022_inf$salario <- car::recode(casen2022_inf$salario, "c(-88,0)=NA") +save(casen2022_inf, + file = "casen2022_inf2.Rdata") #guardar objeto +rm(list = c('casen2022')) + + +load("casen2022_inf2.Rdata") +stargazer(as.data.frame(casen2022_inf), type = "text") +frq(casen2022_inf$educacion) +casen2022_inf$educ_sup <- rec(casen2022_inf$educacion, rec = "1:12=0;13:15=1", + val.labels = c("Menos que universitaria", "Universitaria o más")) +frq(casen2022_inf$educ_sup) + +casen2022_inf%>% # se especifica la base de datos + dplyr::group_by(educ_sup=sjlabelled::as_label(educ_sup)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla +``` + + +# Existen diferencias de promedios de salario entre distintos niveles educacionales? +```{r} +# With raw data +casen2020_inf <-na.omit(casen2020_inf) +casen2020_inf$sexo_f <-as.factor(casen2020_inf$sexo) +meanCI(casen2022_inf,salario,alpha=0.01) +meanCI(casen2022_inf, educacion,salario, alpha=0.01 ) +casen2022_inf %>% filter(educ_sup==1) %>% meanCI(., sexo,salario, alpha=0.01 ) +``` + +```{r} +# Random sample 1000 casos +set.seed(20) +casen_1000 <- casen2022_inf %>% sample_n(300) +casen_1000%>% + dplyr::group_by(sexo=sjlabelled::as_label(sexo)) %>% # se agrupan por la variable categórica y se usan sus etiquetas con as_label + dplyr::summarise(Obs.=n(),Promedio=mean(salario, na.rm=TRUE),SD=sd(salario, na.rm=TRUE)) %>% # se agregan las operaciones a presentar en la tabla + kable(, format = "markdown") # se genera la tabla + +casen_1000 %>% meanCI(., sexo,salario, alpha=0.05) + +casen_1000 %>% filter(educ_sup==0) %>% meanCI(., sexo,salario, alpha=0.05) + +pacman::p_load(gginference) +ggttest(t.test(salario ~ sexo, data = casen_1000, alternative="greater", var.equal=TRUE)) + + +``` + + diff --git a/slides/extras_slides.Rmd b/slides/extras_slides.Rmd new file mode 100644 index 00000000..7616419c --- /dev/null +++ b/slides/extras_slides.Rmd @@ -0,0 +1,104 @@ +--- +# Promedio de ingresos + +- sabemos que el promedio de ingresos en la muestra CASEN 2022 es de 677.747. + +- ¿con qué nivel de confianza podemos decir que este es el ingreso de la población? + +- en estadística inferencial, lo que podemos ofrecer es un rango o .green[intervalo] de ingresos, con un cierto .red[nivel de confianza] y probabilidad de .red[error] + + + +--- + # Intervalos de confianza y distribución Z + + .pull-left[ + Primero vamos a calcular intervalos de confianza basados en la distribución normal o basados en .red[puntajes Z] + + Recordemos que, $\bar{x}{\color{red}\pm}1.96SE$ abarcan el 95% de los valores alrededor del promedio + ] + +.pull-right[ + ![](img/norm2.png) +] + +--- +# ¿De dónde viene ese 1.96? + +- el valor de 1.96 viene justamente de un cálculo asociado a un $\alpha=0.05$ + +- un $\alpha=0.05$, que abarca el 95% de la distribución muestral, quiere decir que las colas de la curva quedan fuera, donde se encuentra el 5% + +- para esto entonces necesitamos dividir este 5% en el 2,5% inferior y el 2,5% superior, y calcular el puntaje Z para cada uno + +--- +## Intervalos de confianza + +.pull-left-narrow[ + ### $\bar{X}\pm Z_{\frac{\alpha}{2}}\frac{\sigma}{\sqrt{N}}$ + ] + +.pull-right-wide[ + Donde + + - $\bar{X}$ promedio de la muestra + - $Z$ = puntaje Z, expresado en desviaciones estándar del promedio en la curva normal + - $\alpha$ = nivel de confianza + - $\sigma$ = desviación estándar + - $N$ = tamaño muestral + - $\frac{\sigma}{\sqrt{N}}$= error estándar +] + + +--- + + - calcular Z para un nivel de confianza $\alpha=0.05$ + - se calcula el valor para un ${\frac{\alpha}{2}}=0.025$, ya que necesitamos el puntaje Z en el nivel superior e inferior + +```{r} +qnorm(0.025) +``` +Y para el superior sumamos 0.025 al 0.95% de confianza: + + ```{r} +qnorm(0.975) +``` + +--- + # De vuelta a ingreso CASEN 2022 + + .pull-left-narrow[ + ### $\bar{X}\pm Z_{\frac{\alpha}{2}}\frac{\sigma}{\sqrt{N}}$ + - $\bar{X}$ = 677.747 + - $Z$ = 1.96 + - $\alpha$ = 0.05 + - $\sigma$ = 645,027 + - $N$ = 58.240 + - $\frac{\sigma}{\sqrt{N}}$= SE (error estándar) + ] + + +.pull-right-wide[ + ```{r} + SE <- 645027/sqrt(58240) + CI_inf <- 677747-(1.96*SE) + CI_sup <- 677747+(1.96*SE) + CI_inf;CI_sup + ``` +] + +--- + class: inverse middle center + +Por lo tanto, podemos decir con un 95% de confianza que el salario promedio se encuentra entre 672.508 y 682.985 en la población. + +¿Qué hubiera pasado si hubiésemos elegido un distinto nivel de confianza? + + --- + + ![](img/z_confidence_interval.png) + +--- + +![](img/z&t.png) + diff --git a/slides/graficos_probabilidad.R b/slides/graficos_probabilidad.R new file mode 100644 index 00000000..cda88c0d --- /dev/null +++ b/slides/graficos_probabilidad.R @@ -0,0 +1,178 @@ +# Definimos los promedios posibles (1.5, 2, 2.5, ..., 5.5, 6) +promedios_posibles <- seq(1, 6, by = 0.5) + +# Calculamos la distribución de probabilidad teórica para cada promedio +# Las probabilidades corresponden a los valores de promedios específicos +probabilidades_teoricas <- c(1/36, 2/36, 3/36, 4/36, 5/36, 6/36, 5/36, 4/36, 3/36, 2/36, 1/36) + +# Graficamos la distribución de probabilidad teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + main = "Distribución de Probabilidad Teórica del Promedio de Dos Dados", + xlab = "Promedio de los Dados", + ylab = "Probabilidad Teórica", + col = "orange") + +teoric = recordPlot() +teoric + +# Repeticiones + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 100, replace = TRUE) +dados2 <- sample(1:6, 100, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (100 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, max(probabilidades_empiricas, probabilidades_teoricas) * 1.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white")) + +rep100 =recordPlot() + + +# Rep 500 +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 500, replace = TRUE) +dados2 <- sample(1:6, 500, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (500 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, max(probabilidades_empiricas, probabilidades_teoricas) * 1.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white")) + +rep500 =recordPlot() + +# rep1500 + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 1500, replace = TRUE) +dados2 <- sample(1:6, 1500, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (1500 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, max(probabilidades_empiricas, probabilidades_teoricas) * 1.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + col = rgb(0.8, 0.2, 0.2, 0.5), # Rojo con transparencia + add = TRUE) + +# Se agrega al gráfico existente +legend("topright", legend = c("Empírica", "Teórica"), + fill = c(rgb(0.1, 0.5, 0.8, 0.6), rgb(0.8, 0.2, 0.2, 0.5)), + border = "white")) + +rep1500 =recordPlot() + +# rep 5000 + +# Establecemos la semilla para reproducibilidad +set.seed(123) + +# Simulamos 100 repeticiones de dos dados +dados1 <- sample(1:6, 5000, replace = TRUE) +dados2 <- sample(1:6, 5000, replace = TRUE) + +# Calculamos el promedio de los resultados de ambos dados +promedio_dados <- (dados1 + dados2) / 2 + +# Calculamos las frecuencias de cada promedio posible +frecuencias_empiricas <- table(promedio_dados) + +# Convertimos las frecuencias a probabilidades +probabilidades_empiricas <- frecuencias_empiricas / sum(frecuencias_empiricas) + +# Graficamos las frecuencias de probabilidad empíricas +barplot(probabilidades_empiricas, + main = "Frecuencia de Probabilidad del Promedio de Dos Dados (5000 repeticiones)", + xlab = "Promedio de los Dados", + ylab = "Frecuencia de Probabilidad", + col = rgb(0.1, 0.5, 0.8, 0.6), # Azul con transparencia + ylim = c(0, max(probabilidades_empiricas, probabilidades_teoricas) * 1.2)) + +# Superponemos las barras de la distribución teórica +barplot(probabilidades_teoricas, + names.arg = promedios_posibles, + 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a/slides/img/reg_prob.png b/slides/img/reg_prob.png new file mode 100644 index 00000000..ed6f15f0 Binary files /dev/null and b/slides/img/reg_prob.png differ diff --git a/slides/img/scatters.png b/slides/img/scatters.png new file mode 100644 index 00000000..d13f8e61 Binary files /dev/null and b/slides/img/scatters.png differ diff --git a/slides/img/scatters2.png b/slides/img/scatters2.png new file mode 100644 index 00000000..9b94a7ce Binary files /dev/null and b/slides/img/scatters2.png differ diff --git a/slides/img/scatters3.png b/slides/img/scatters3.png new file mode 100644 index 00000000..b44c3939 Binary files /dev/null and b/slides/img/scatters3.png differ diff --git a/slides/img/scatters4.png b/slides/img/scatters4.png new file mode 100644 index 00000000..b6b2b74a Binary files /dev/null and b/slides/img/scatters4.png differ diff --git a/slides/img/schemes.odp b/slides/img/schemes.odp new file mode 100644 index 00000000..8efbb1a7 Binary files /dev/null and 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file mode 100644 index 00000000..e6756581 Binary files /dev/null and b/slides/img/two-or-one-tailed.jpg differ diff --git a/slides/img/varianza1.png b/slides/img/varianza1.png new file mode 100644 index 00000000..5995b9ca Binary files /dev/null and b/slides/img/varianza1.png differ diff --git a/slides/img/varianza2.png b/slides/img/varianza2.png new file mode 100644 index 00000000..5cfc7b6c Binary files /dev/null and b/slides/img/varianza2.png differ diff --git a/slides/img/varianza3.png b/slides/img/varianza3.png new file mode 100644 index 00000000..3b429995 Binary files /dev/null and b/slides/img/varianza3.png differ diff --git a/slides/img/varianza_formula.png b/slides/img/varianza_formula.png new file mode 100644 index 00000000..bef393b8 Binary files /dev/null and b/slides/img/varianza_formula.png differ diff --git a/slides/img/white-crow.png b/slides/img/white-crow.png new file mode 100644 index 00000000..5b50e7ca Binary files /dev/null and b/slides/img/white-crow.png differ diff --git a/slides/img/z&t.png b/slides/img/z&t.png new file mode 100644 index 00000000..7c2c15c5 Binary files /dev/null and b/slides/img/z&t.png differ diff --git a/slides/img/z_confidence_interval.png b/slides/img/z_confidence_interval.png new file mode 100644 index 00000000..aac4e0b0 Binary files /dev/null and b/slides/img/z_confidence_interval.png differ diff --git a/slides/img/ztable-neg.jpg b/slides/img/ztable-neg.jpg new file mode 100644 index 00000000..5c5bbbc9 Binary files /dev/null and b/slides/img/ztable-neg.jpg differ diff --git a/slides/img/ztable-pos.jpg b/slides/img/ztable-pos.jpg new file mode 100644 index 00000000..36b6668b Binary files /dev/null and b/slides/img/ztable-pos.jpg differ diff --git a/slides/insert-logo.html b/slides/insert-logo.html new file mode 100644 index 00000000..302f7339 --- /dev/null +++ b/slides/insert-logo.html @@ -0,0 +1,27 @@ + + + diff --git a/slides/libs/animate.css-3.7.2/animate.xaringan.css b/slides/libs/animate.css-3.7.2/animate.xaringan.css new file mode 100644 index 00000000..f4aaae56 --- /dev/null +++ b/slides/libs/animate.css-3.7.2/animate.xaringan.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.remark-visible .bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.remark-visible .flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.remark-visible .shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.remark-visible .headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.remark-visible .swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.remark-visible .jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.remark-fading .bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.remark-fading .fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.remark-visible .animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.remark-fading .lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.remark-fading .rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.remark-visible .hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.remark-fading .rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.remark-visible .zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.remark-fading .zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.remark-fading .zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.remark-fading .zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css b/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css new file mode 100644 index 00000000..508ceb01 --- /dev/null +++ b/slides/libs/animate.css-xaringan-3.7.2/animate.fade.css @@ -0,0 +1,31 @@ +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .remark-slide-content:not(.no-animation), .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +.remark-visible .remark-slide-content { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} diff --git a/slides/libs/animate.css-xaringan/animate.fade.css b/slides/libs/animate.css-xaringan/animate.fade.css new file mode 100644 index 00000000..508ceb01 --- /dev/null +++ b/slides/libs/animate.css-xaringan/animate.fade.css @@ -0,0 +1,31 @@ +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .remark-slide-content:not(.no-animation), .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +.remark-visible .remark-slide-content { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} diff --git a/slides/libs/animate.css/animate.xaringan.css b/slides/libs/animate.css/animate.xaringan.css new file mode 100644 index 00000000..f4aaae56 --- /dev/null +++ b/slides/libs/animate.css/animate.xaringan.css @@ -0,0 +1,3625 @@ +@charset "UTF-8"; + +/*! + * animate.css -https://daneden.github.io/animate.css/ + * Version - 3.7.2 + * Licensed under the MIT license - http://opensource.org/licenses/MIT + * + * Copyright (c) 2019 Daniel Eden + */ + +@-webkit-keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +@keyframes bounce { + from, + 20%, + 53%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 40%, + 43% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -30px, 0); + transform: translate3d(0, -30px, 0); + } + + 70% { + -webkit-animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06); + -webkit-transform: translate3d(0, -15px, 0); + transform: translate3d(0, -15px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -4px, 0); + transform: translate3d(0, -4px, 0); + } +} + +.remark-visible .bounce { + -webkit-animation-name: bounce; + animation-name: bounce; + -webkit-transform-origin: center bottom; + transform-origin: center bottom; +} + +@-webkit-keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +@keyframes flash { + from, + 50%, + to { + opacity: 1; + } + + 25%, + 75% { + opacity: 0; + } +} + +.remark-visible .flash { + -webkit-animation-name: flash; + animation-name: flash; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes pulse { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 50% { + -webkit-transform: scale3d(1.05, 1.05, 1.05); + transform: scale3d(1.05, 1.05, 1.05); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .pulse { + -webkit-animation-name: pulse; + animation-name: pulse; +} + +@-webkit-keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes rubberBand { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 30% { + -webkit-transform: scale3d(1.25, 0.75, 1); + transform: scale3d(1.25, 0.75, 1); + } + + 40% { + -webkit-transform: scale3d(0.75, 1.25, 1); + transform: scale3d(0.75, 1.25, 1); + } + + 50% { + -webkit-transform: scale3d(1.15, 0.85, 1); + transform: scale3d(1.15, 0.85, 1); + } + + 65% { + -webkit-transform: scale3d(0.95, 1.05, 1); + transform: scale3d(0.95, 1.05, 1); + } + + 75% { + -webkit-transform: scale3d(1.05, 0.95, 1); + transform: scale3d(1.05, 0.95, 1); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .rubberBand { + -webkit-animation-name: rubberBand; + animation-name: rubberBand; +} + +@-webkit-keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +@keyframes shake { + from, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 10%, + 30%, + 50%, + 70%, + 90% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 20%, + 40%, + 60%, + 80% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } +} + +.remark-visible .shake { + -webkit-animation-name: shake; + animation-name: shake; +} + +@-webkit-keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +@keyframes headShake { + 0% { + -webkit-transform: translateX(0); + transform: translateX(0); + } + + 6.5% { + -webkit-transform: translateX(-6px) rotateY(-9deg); + transform: translateX(-6px) rotateY(-9deg); + } + + 18.5% { + -webkit-transform: translateX(5px) rotateY(7deg); + transform: translateX(5px) rotateY(7deg); + } + + 31.5% { + -webkit-transform: translateX(-3px) rotateY(-5deg); + transform: translateX(-3px) rotateY(-5deg); + } + + 43.5% { + -webkit-transform: translateX(2px) rotateY(3deg); + transform: translateX(2px) rotateY(3deg); + } + + 50% { + -webkit-transform: translateX(0); + transform: translateX(0); + } +} + +.remark-visible .headShake { + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + -webkit-animation-name: headShake; + animation-name: headShake; +} + +@-webkit-keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +@keyframes swing { + 20% { + -webkit-transform: rotate3d(0, 0, 1, 15deg); + transform: rotate3d(0, 0, 1, 15deg); + } + + 40% { + -webkit-transform: rotate3d(0, 0, 1, -10deg); + transform: rotate3d(0, 0, 1, -10deg); + } + + 60% { + -webkit-transform: rotate3d(0, 0, 1, 5deg); + transform: rotate3d(0, 0, 1, 5deg); + } + + 80% { + -webkit-transform: rotate3d(0, 0, 1, -5deg); + transform: rotate3d(0, 0, 1, -5deg); + } + + to { + -webkit-transform: rotate3d(0, 0, 1, 0deg); + transform: rotate3d(0, 0, 1, 0deg); + } +} + +.remark-visible .swing { + -webkit-transform-origin: top center; + transform-origin: top center; + -webkit-animation-name: swing; + animation-name: swing; +} + +@-webkit-keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes tada { + from { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } + + 10%, + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + transform: scale3d(0.9, 0.9, 0.9) rotate3d(0, 0, 1, -3deg); + } + + 30%, + 50%, + 70%, + 90% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg); + } + + 40%, + 60%, + 80% { + -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg); + } + + to { + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .tada { + -webkit-animation-name: tada; + animation-name: tada; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes wobble { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 15% { + -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg); + } + + 30% { + -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg); + } + + 45% { + -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg); + } + + 60% { + -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg); + } + + 75% { + -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .wobble { + -webkit-animation-name: wobble; + animation-name: wobble; +} + +@-webkit-keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +@keyframes jello { + from, + 11.1%, + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + 22.2% { + -webkit-transform: skewX(-12.5deg) skewY(-12.5deg); + transform: skewX(-12.5deg) skewY(-12.5deg); + } + + 33.3% { + -webkit-transform: skewX(6.25deg) skewY(6.25deg); + transform: skewX(6.25deg) skewY(6.25deg); + } + + 44.4% { + -webkit-transform: skewX(-3.125deg) skewY(-3.125deg); + transform: skewX(-3.125deg) skewY(-3.125deg); + } + + 55.5% { + -webkit-transform: skewX(1.5625deg) skewY(1.5625deg); + transform: skewX(1.5625deg) skewY(1.5625deg); + } + + 66.6% { + -webkit-transform: skewX(-0.78125deg) skewY(-0.78125deg); + transform: skewX(-0.78125deg) skewY(-0.78125deg); + } + + 77.7% { + -webkit-transform: skewX(0.390625deg) skewY(0.390625deg); + transform: skewX(0.390625deg) skewY(0.390625deg); + } + + 88.8% { + -webkit-transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + transform: skewX(-0.1953125deg) skewY(-0.1953125deg); + } +} + +.remark-visible .jello { + -webkit-animation-name: jello; + animation-name: jello; + -webkit-transform-origin: center; + transform-origin: center; +} + +@-webkit-keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes heartBeat { + 0% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 14% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 28% { + -webkit-transform: scale(1); + transform: scale(1); + } + + 42% { + -webkit-transform: scale(1.3); + transform: scale(1.3); + } + + 70% { + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .heartBeat { + -webkit-animation-name: heartBeat; + animation-name: heartBeat; + -webkit-animation-duration: 1.3s; + animation-duration: 1.3s; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; +} + +@-webkit-keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +@keyframes bounceIn { + from, + 20%, + 40%, + 60%, + 80%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 20% { + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + 40% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(1.03, 1.03, 1.03); + transform: scale3d(1.03, 1.03, 1.03); + } + + 80% { + -webkit-transform: scale3d(0.97, 0.97, 0.97); + transform: scale3d(0.97, 0.97, 0.97); + } + + to { + opacity: 1; + -webkit-transform: scale3d(1, 1, 1); + transform: scale3d(1, 1, 1); + } +} + +.remark-visible .bounceIn { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceIn; + animation-name: bounceIn; +} + +@-webkit-keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInDown { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(0, -3000px, 0); + transform: translate3d(0, -3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, 25px, 0); + transform: translate3d(0, 25px, 0); + } + + 75% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, 5px, 0); + transform: translate3d(0, 5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInDown { + -webkit-animation-name: bounceInDown; + animation-name: bounceInDown; +} + +@-webkit-keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInLeft { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + 0% { + opacity: 0; + -webkit-transform: translate3d(-3000px, 0, 0); + transform: translate3d(-3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(25px, 0, 0); + transform: translate3d(25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(-10px, 0, 0); + transform: translate3d(-10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(5px, 0, 0); + transform: translate3d(5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInLeft { + -webkit-animation-name: bounceInLeft; + animation-name: bounceInLeft; +} + +@-webkit-keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInRight { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(3000px, 0, 0); + transform: translate3d(3000px, 0, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(-25px, 0, 0); + transform: translate3d(-25px, 0, 0); + } + + 75% { + -webkit-transform: translate3d(10px, 0, 0); + transform: translate3d(10px, 0, 0); + } + + 90% { + -webkit-transform: translate3d(-5px, 0, 0); + transform: translate3d(-5px, 0, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInRight { + -webkit-animation-name: bounceInRight; + animation-name: bounceInRight; +} + +@-webkit-keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes bounceInUp { + from, + 60%, + 75%, + 90%, + to { + -webkit-animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1); + } + + from { + opacity: 0; + -webkit-transform: translate3d(0, 3000px, 0); + transform: translate3d(0, 3000px, 0); + } + + 60% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + 75% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 90% { + -webkit-transform: translate3d(0, -5px, 0); + transform: translate3d(0, -5px, 0); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .bounceInUp { + -webkit-animation-name: bounceInUp; + animation-name: bounceInUp; +} + +@-webkit-keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +@keyframes bounceOut { + 20% { + -webkit-transform: scale3d(0.9, 0.9, 0.9); + transform: scale3d(0.9, 0.9, 0.9); + } + + 50%, + 55% { + opacity: 1; + -webkit-transform: scale3d(1.1, 1.1, 1.1); + transform: scale3d(1.1, 1.1, 1.1); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } +} + +.remark-fading .bounceOut { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: bounceOut; + animation-name: bounceOut; +} + +@-webkit-keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes bounceOutDown { + 20% { + -webkit-transform: translate3d(0, 10px, 0); + transform: translate3d(0, 10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, -20px, 0); + transform: translate3d(0, -20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .bounceOutDown { + -webkit-animation-name: bounceOutDown; + animation-name: bounceOutDown; +} + +@-webkit-keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes bounceOutLeft { + 20% { + opacity: 1; + -webkit-transform: translate3d(20px, 0, 0); + transform: translate3d(20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .bounceOutLeft { + -webkit-animation-name: bounceOutLeft; + animation-name: bounceOutLeft; +} + +@-webkit-keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes bounceOutRight { + 20% { + opacity: 1; + -webkit-transform: translate3d(-20px, 0, 0); + transform: translate3d(-20px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .bounceOutRight { + -webkit-animation-name: bounceOutRight; + animation-name: bounceOutRight; +} + +@-webkit-keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes bounceOutUp { + 20% { + -webkit-transform: translate3d(0, -10px, 0); + transform: translate3d(0, -10px, 0); + } + + 40%, + 45% { + opacity: 1; + -webkit-transform: translate3d(0, 20px, 0); + transform: translate3d(0, 20px, 0); + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .bounceOutUp { + -webkit-animation-name: bounceOutUp; + animation-name: bounceOutUp; +} + +@-webkit-keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +.remark-visible .fadeIn { + -webkit-animation-name: fadeIn; + animation-name: fadeIn; +} + +@-webkit-keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDown { + from { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDown { + -webkit-animation-name: fadeInDown; + animation-name: fadeInDown; +} + +@-webkit-keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInDownBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInDownBig { + -webkit-animation-name: fadeInDownBig; + animation-name: fadeInDownBig; +} + +@-webkit-keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeft { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeft { + -webkit-animation-name: fadeInLeft; + animation-name: fadeInLeft; +} + +@-webkit-keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInLeftBig { + from { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInLeftBig { + -webkit-animation-name: fadeInLeftBig; + animation-name: fadeInLeftBig; +} + +@-webkit-keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRight { + from { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRight { + -webkit-animation-name: fadeInRight; + animation-name: fadeInRight; +} + +@-webkit-keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInRightBig { + from { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInRightBig { + -webkit-animation-name: fadeInRightBig; + animation-name: fadeInRightBig; +} + +@-webkit-keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUp { + -webkit-animation-name: fadeInUp; + animation-name: fadeInUp; +} + +@-webkit-keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes fadeInUpBig { + from { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .fadeInUpBig { + -webkit-animation-name: fadeInUpBig; + animation-name: fadeInUpBig; +} + +@-webkit-keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +@keyframes fadeOut { + from { + opacity: 1; + } + + to { + opacity: 0; + } +} + +.remark-fading .fadeOut { + -webkit-animation-name: fadeOut; + animation-name: fadeOut; +} + +@-webkit-keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes fadeOutDown { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .fadeOutDown { + -webkit-animation-name: fadeOutDown; + animation-name: fadeOutDown; +} + +@-webkit-keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +@keyframes fadeOutDownBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, 2000px, 0); + transform: translate3d(0, 2000px, 0); + } +} + +.remark-fading .fadeOutDownBig { + -webkit-animation-name: fadeOutDownBig; + animation-name: fadeOutDownBig; +} + +@-webkit-keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes fadeOutLeft { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .fadeOutLeft { + -webkit-animation-name: fadeOutLeft; + animation-name: fadeOutLeft; +} + +@-webkit-keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +@keyframes fadeOutLeftBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(-2000px, 0, 0); + transform: translate3d(-2000px, 0, 0); + } +} + +.remark-fading .fadeOutLeftBig { + -webkit-animation-name: fadeOutLeftBig; + animation-name: fadeOutLeftBig; +} + +@-webkit-keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes fadeOutRight { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .fadeOutRight { + -webkit-animation-name: fadeOutRight; + animation-name: fadeOutRight; +} + +@-webkit-keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +@keyframes fadeOutRightBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(2000px, 0, 0); + transform: translate3d(2000px, 0, 0); + } +} + +.remark-fading .fadeOutRightBig { + -webkit-animation-name: fadeOutRightBig; + animation-name: fadeOutRightBig; +} + +@-webkit-keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes fadeOutUp { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .fadeOutUp { + -webkit-animation-name: fadeOutUp; + animation-name: fadeOutUp; +} + +@-webkit-keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +@keyframes fadeOutUpBig { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(0, -2000px, 0); + transform: translate3d(0, -2000px, 0); + } +} + +.remark-fading .fadeOutUpBig { + -webkit-animation-name: fadeOutUpBig; + animation-name: fadeOutUpBig; +} + +@-webkit-keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +@keyframes flip { + from { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, -360deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, -360deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 40% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -190deg); + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; + } + + 50% { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 150px) + rotate3d(0, 1, 0, -170deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 80% { + -webkit-transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(0.95, 0.95, 0.95) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + to { + -webkit-transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) + rotate3d(0, 1, 0, 0deg); + transform: perspective(400px) scale3d(1, 1, 1) translate3d(0, 0, 0) rotate3d(0, 1, 0, 0deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } +} + +.remark-visible .animated.flip { + -webkit-backface-visibility: visible; + backface-visibility: visible; + -webkit-animation-name: flip; + animation-name: flip; +} + +@-webkit-keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInX { + from { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + transform: perspective(400px) rotate3d(1, 0, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + transform: perspective(400px) rotate3d(1, 0, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInX { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInX; + animation-name: flipInX; +} + +@-webkit-keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +@keyframes flipInY { + from { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + opacity: 0; + } + + 40% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + transform: perspective(400px) rotate3d(0, 1, 0, -20deg); + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; + } + + 60% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + transform: perspective(400px) rotate3d(0, 1, 0, 10deg); + opacity: 1; + } + + 80% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + transform: perspective(400px) rotate3d(0, 1, 0, -5deg); + } + + to { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } +} + +.remark-visible .flipInY { + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipInY; + animation-name: flipInY; +} + +@-webkit-keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutX { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + transform: perspective(400px) rotate3d(1, 0, 0, -20deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + transform: perspective(400px) rotate3d(1, 0, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutX { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-animation-name: flipOutX; + animation-name: flipOutX; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; +} + +@-webkit-keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +@keyframes flipOutY { + from { + -webkit-transform: perspective(400px); + transform: perspective(400px); + } + + 30% { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + transform: perspective(400px) rotate3d(0, 1, 0, -15deg); + opacity: 1; + } + + to { + -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + transform: perspective(400px) rotate3d(0, 1, 0, 90deg); + opacity: 0; + } +} + +.remark-fading .flipOutY { + -webkit-animation-duration: 0.75s; + animation-duration: 0.75s; + -webkit-backface-visibility: visible !important; + backface-visibility: visible !important; + -webkit-animation-name: flipOutY; + animation-name: flipOutY; +} + +@-webkit-keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes lightSpeedIn { + from { + -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg); + transform: translate3d(100%, 0, 0) skewX(-30deg); + opacity: 0; + } + + 60% { + -webkit-transform: skewX(20deg); + transform: skewX(20deg); + opacity: 1; + } + + 80% { + -webkit-transform: skewX(-5deg); + transform: skewX(-5deg); + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .lightSpeedIn { + -webkit-animation-name: lightSpeedIn; + animation-name: lightSpeedIn; + -webkit-animation-timing-function: ease-out; + animation-timing-function: ease-out; +} + +@-webkit-keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +@keyframes lightSpeedOut { + from { + opacity: 1; + } + + to { + -webkit-transform: translate3d(100%, 0, 0) skewX(30deg); + transform: translate3d(100%, 0, 0) skewX(30deg); + opacity: 0; + } +} + +.remark-fading .lightSpeedOut { + -webkit-animation-name: lightSpeedOut; + animation-name: lightSpeedOut; + -webkit-animation-timing-function: ease-in; + animation-timing-function: ease-in; +} + +@-webkit-keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateIn { + from { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, -200deg); + transform: rotate3d(0, 0, 1, -200deg); + opacity: 0; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateIn { + -webkit-animation-name: rotateIn; + animation-name: rotateIn; +} + +@-webkit-keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownLeft { + -webkit-animation-name: rotateInDownLeft; + animation-name: rotateInDownLeft; +} + +@-webkit-keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInDownRight { + -webkit-animation-name: rotateInDownRight; + animation-name: rotateInDownRight; +} + +@-webkit-keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpLeft { + -webkit-animation-name: rotateInUpLeft; + animation-name: rotateInUpLeft; +} + +@-webkit-keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +@keyframes rotateInUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -90deg); + transform: rotate3d(0, 0, 1, -90deg); + opacity: 0; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + opacity: 1; + } +} + +.remark-visible .rotateInUpRight { + -webkit-animation-name: rotateInUpRight; + animation-name: rotateInUpRight; +} + +@-webkit-keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +@keyframes rotateOut { + from { + -webkit-transform-origin: center; + transform-origin: center; + opacity: 1; + } + + to { + -webkit-transform-origin: center; + transform-origin: center; + -webkit-transform: rotate3d(0, 0, 1, 200deg); + transform: rotate3d(0, 0, 1, 200deg); + opacity: 0; + } +} + +.remark-fading .rotateOut { + -webkit-animation-name: rotateOut; + animation-name: rotateOut; +} + +@-webkit-keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, 45deg); + transform: rotate3d(0, 0, 1, 45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownLeft { + -webkit-animation-name: rotateOutDownLeft; + animation-name: rotateOutDownLeft; +} + +@-webkit-keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutDownRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutDownRight { + -webkit-animation-name: rotateOutDownRight; + animation-name: rotateOutDownRight; +} + +@-webkit-keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +@keyframes rotateOutUpLeft { + from { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: left bottom; + transform-origin: left bottom; + -webkit-transform: rotate3d(0, 0, 1, -45deg); + transform: rotate3d(0, 0, 1, -45deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpLeft { + -webkit-animation-name: rotateOutUpLeft; + animation-name: rotateOutUpLeft; +} + +@-webkit-keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +@keyframes rotateOutUpRight { + from { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + opacity: 1; + } + + to { + -webkit-transform-origin: right bottom; + transform-origin: right bottom; + -webkit-transform: rotate3d(0, 0, 1, 90deg); + transform: rotate3d(0, 0, 1, 90deg); + opacity: 0; + } +} + +.remark-fading .rotateOutUpRight { + -webkit-animation-name: rotateOutUpRight; + animation-name: rotateOutUpRight; +} + +@-webkit-keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +@keyframes hinge { + 0% { + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 20%, + 60% { + -webkit-transform: rotate3d(0, 0, 1, 80deg); + transform: rotate3d(0, 0, 1, 80deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + } + + 40%, + 80% { + -webkit-transform: rotate3d(0, 0, 1, 60deg); + transform: rotate3d(0, 0, 1, 60deg); + -webkit-transform-origin: top left; + transform-origin: top left; + -webkit-animation-timing-function: ease-in-out; + animation-timing-function: ease-in-out; + opacity: 1; + } + + to { + -webkit-transform: translate3d(0, 700px, 0); + transform: translate3d(0, 700px, 0); + opacity: 0; + } +} + +.remark-visible .hinge { + -webkit-animation-duration: 2s; + animation-duration: 2s; + -webkit-animation-name: hinge; + animation-name: hinge; +} + +@-webkit-keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +@keyframes jackInTheBox { + from { + opacity: 0; + -webkit-transform: scale(0.1) rotate(30deg); + transform: scale(0.1) rotate(30deg); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + } + + 50% { + -webkit-transform: rotate(-10deg); + transform: rotate(-10deg); + } + + 70% { + -webkit-transform: rotate(3deg); + transform: rotate(3deg); + } + + to { + opacity: 1; + -webkit-transform: scale(1); + transform: scale(1); + } +} + +.remark-visible .jackInTheBox { + -webkit-animation-name: jackInTheBox; + animation-name: jackInTheBox; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes rollIn { + from { + opacity: 0; + -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg); + } + + to { + opacity: 1; + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .rollIn { + -webkit-animation-name: rollIn; + animation-name: rollIn; +} + +/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */ + +@-webkit-keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +@keyframes rollOut { + from { + opacity: 1; + } + + to { + opacity: 0; + -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg); + } +} + +.remark-fading .rollOut { + -webkit-animation-name: rollOut; + animation-name: rollOut; +} + +@-webkit-keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +@keyframes zoomIn { + from { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + 50% { + opacity: 1; + } +} + +.remark-visible .zoomIn { + -webkit-animation-name: zoomIn; + animation-name: zoomIn; +} + +@-webkit-keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInDown { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInDown { + -webkit-animation-name: zoomInDown; + animation-name: zoomInDown; +} + +@-webkit-keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInLeft { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(-1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInLeft { + -webkit-animation-name: zoomInLeft; + animation-name: zoomInLeft; +} + +@-webkit-keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInRight { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(1000px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-10px, 0, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInRight { + -webkit-animation-name: zoomInRight; + animation-name: zoomInRight; +} + +@-webkit-keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomInUp { + from { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 1000px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + 60% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-visible .zoomInUp { + -webkit-animation-name: zoomInUp; + animation-name: zoomInUp; +} + +@-webkit-keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +@keyframes zoomOut { + from { + opacity: 1; + } + + 50% { + opacity: 0; + -webkit-transform: scale3d(0.3, 0.3, 0.3); + transform: scale3d(0.3, 0.3, 0.3); + } + + to { + opacity: 0; + } +} + +.remark-fading .zoomOut { + -webkit-animation-name: zoomOut; + animation-name: zoomOut; +} + +@-webkit-keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutDown { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, -60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, 2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutDown { + -webkit-animation-name: zoomOutDown; + animation-name: zoomOutDown; +} + +@-webkit-keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +@keyframes zoomOutLeft { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(-2000px, 0, 0); + transform: scale(0.1) translate3d(-2000px, 0, 0); + -webkit-transform-origin: left center; + transform-origin: left center; + } +} + +.remark-fading .zoomOutLeft { + -webkit-animation-name: zoomOutLeft; + animation-name: zoomOutLeft; +} + +@-webkit-keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +@keyframes zoomOutRight { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(-42px, 0, 0); + } + + to { + opacity: 0; + -webkit-transform: scale(0.1) translate3d(2000px, 0, 0); + transform: scale(0.1) translate3d(2000px, 0, 0); + -webkit-transform-origin: right center; + transform-origin: right center; + } +} + +.remark-fading .zoomOutRight { + -webkit-animation-name: zoomOutRight; + animation-name: zoomOutRight; +} + +@-webkit-keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +@keyframes zoomOutUp { + 40% { + opacity: 1; + -webkit-transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + transform: scale3d(0.475, 0.475, 0.475) translate3d(0, 60px, 0); + -webkit-animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + animation-timing-function: cubic-bezier(0.55, 0.055, 0.675, 0.19); + } + + to { + opacity: 0; + -webkit-transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + transform: scale3d(0.1, 0.1, 0.1) translate3d(0, -2000px, 0); + -webkit-transform-origin: center bottom; + transform-origin: center bottom; + -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + animation-timing-function: cubic-bezier(0.175, 0.885, 0.32, 1); + } +} + +.remark-fading .zoomOutUp { + -webkit-animation-name: zoomOutUp; + animation-name: zoomOutUp; +} + +@-webkit-keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInDown { + from { + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInDown { + -webkit-animation-name: slideInDown; + animation-name: slideInDown; +} + +@-webkit-keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInLeft { + from { + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInLeft { + -webkit-animation-name: slideInLeft; + animation-name: slideInLeft; +} + +@-webkit-keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInRight { + from { + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInRight { + -webkit-animation-name: slideInRight; + animation-name: slideInRight; +} + +@-webkit-keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +@keyframes slideInUp { + from { + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + visibility: visible; + } + + to { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } +} + +.remark-visible .slideInUp { + -webkit-animation-name: slideInUp; + animation-name: slideInUp; +} + +@-webkit-keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +@keyframes slideOutDown { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, 100%, 0); + transform: translate3d(0, 100%, 0); + } +} + +.remark-fading .slideOutDown { + -webkit-animation-name: slideOutDown; + animation-name: slideOutDown; +} + +@-webkit-keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +@keyframes slideOutLeft { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(-100%, 0, 0); + transform: translate3d(-100%, 0, 0); + } +} + +.remark-fading .slideOutLeft { + -webkit-animation-name: slideOutLeft; + animation-name: slideOutLeft; +} + +@-webkit-keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +@keyframes slideOutRight { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(100%, 0, 0); + transform: translate3d(100%, 0, 0); + } +} + +.remark-fading .slideOutRight { + -webkit-animation-name: slideOutRight; + animation-name: slideOutRight; +} + +@-webkit-keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +@keyframes slideOutUp { + from { + -webkit-transform: translate3d(0, 0, 0); + transform: translate3d(0, 0, 0); + } + + to { + visibility: hidden; + -webkit-transform: translate3d(0, -100%, 0); + transform: translate3d(0, -100%, 0); + } +} + +.remark-fading .slideOutUp { + -webkit-animation-name: slideOutUp; + animation-name: slideOutUp; +} + +.animated { + -webkit-animation-duration: 1s; + animation-duration: 1s; + -webkit-animation-fill-mode: both; + animation-fill-mode: both; +} + +.animated.infinite { + -webkit-animation-iteration-count: infinite; + animation-iteration-count: infinite; +} + +.animated.delay-1s { + -webkit-animation-delay: 1s; + animation-delay: 1s; +} + +.animated.delay-2s { + -webkit-animation-delay: 2s; + animation-delay: 2s; +} + +.animated.delay-3s { + -webkit-animation-delay: 3s; + animation-delay: 3s; +} + +.animated.delay-4s { + -webkit-animation-delay: 4s; + animation-delay: 4s; +} + +.animated.delay-5s { + -webkit-animation-delay: 5s; + animation-delay: 5s; +} + +.animated.fast { + -webkit-animation-duration: 800ms; + animation-duration: 800ms; +} + +.animated.faster { + -webkit-animation-duration: 500ms; + animation-duration: 500ms; +} + +.animated.slow { + -webkit-animation-duration: 2s; + animation-duration: 2s; +} + +.animated.slower { + -webkit-animation-duration: 3s; + animation-duration: 3s; +} + +@media (print), (prefers-reduced-motion: reduce) { + .animated { + -webkit-animation-duration: 1ms !important; + animation-duration: 1ms !important; + -webkit-transition-duration: 1ms !important; + transition-duration: 1ms !important; + -webkit-animation-iteration-count: 1 !important; + animation-iteration-count: 1 !important; + } +} diff --git a/slides/libs/fabric-4.3.1/fabric.min.js b/slides/libs/fabric-4.3.1/fabric.min.js new file mode 100644 index 00000000..38f1c3d2 --- /dev/null +++ b/slides/libs/fabric-4.3.1/fabric.min.js @@ -0,0 +1 @@ +var fabric=fabric||{version:"5.2.1"};if("undefined"!=typeof exports?exports.fabric=fabric:"function"==typeof define&&define.amd&&define([],function(){return fabric}),"undefined"!=typeof document&&"undefined"!=typeof window)document instanceof("undefined"!=typeof HTMLDocument?HTMLDocument:Document)?fabric.document=document:fabric.document=document.implementation.createHTMLDocument(""),fabric.window=window;else{var jsdom=require("jsdom"),virtualWindow=new jsdom.JSDOM(decodeURIComponent("%3C!DOCTYPE%20html%3E%3Chtml%3E%3Chead%3E%3C%2Fhead%3E%3Cbody%3E%3C%2Fbody%3E%3C%2Fhtml%3E"),{features:{FetchExternalResources:["img"]},resources:"usable"}).window;fabric.document=virtualWindow.document,fabric.jsdomImplForWrapper=require("jsdom/lib/jsdom/living/generated/utils").implForWrapper,fabric.nodeCanvas=require("jsdom/lib/jsdom/utils").Canvas,fabric.window=virtualWindow,DOMParser=fabric.window.DOMParser}function resizeCanvasIfNeeded(t){var e=t.targetCanvas,i=e.width,r=e.height,n=t.destinationWidth,s=t.destinationHeight;i===n&&r===s||(e.width=n,e.height=s)}function copyGLTo2DDrawImage(t,e){var i=t.canvas,r=e.targetCanvas,n=r.getContext("2d");n.translate(0,r.height),n.scale(1,-1);var s=i.height-r.height;n.drawImage(i,0,s,r.width,r.height,0,0,r.width,r.height)}function copyGLTo2DPutImageData(t,e){var i=e.targetCanvas.getContext("2d"),r=e.destinationWidth,n=e.destinationHeight,s=r*n*4,o=new Uint8Array(this.imageBuffer,0,s),a=new Uint8ClampedArray(this.imageBuffer,0,s);t.readPixels(0,0,r,n,t.RGBA,t.UNSIGNED_BYTE,o);var c=new ImageData(a,r,n);i.putImageData(c,0,0)}fabric.isTouchSupported="ontouchstart"in fabric.window||"ontouchstart"in fabric.document||fabric.window&&fabric.window.navigator&&0_)for(var C=1,S=d.length;Ct[i-2].x?1:n.x===t[i-2].x?0:-1,c=n.y>t[i-2].y?1:n.y===t[i-2].y?0:-1),r.push(["L",n.x+a*e,n.y+c*e]),r},fabric.util.getPathSegmentsInfo=l,fabric.util.getBoundsOfCurve=function(t,e,i,r,n,s,o,a){var c;if(fabric.cachesBoundsOfCurve&&(c=D.call(arguments),fabric.boundsOfCurveCache[c]))return fabric.boundsOfCurveCache[c];var h,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,h=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0/g,">")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;it.x&&this.y>t.y},gte:function(t){return this.x>=t.x&&this.y>=t.y},lerp:function(t,e){return void 0===e&&(e=.5),e=Math.max(Math.min(1,e),0),new i(this.x+(t.x-this.x)*e,this.y+(t.y-this.y)*e)},distanceFrom:function(t){var e=this.x-t.x,i=this.y-t.y;return Math.sqrt(e*e+i*i)},midPointFrom:function(t){return this.lerp(t)},min:function(t){return new i(Math.min(this.x,t.x),Math.min(this.y,t.y))},max:function(t){return new i(Math.max(this.x,t.x),Math.max(this.y,t.y))},toString:function(){return this.x+","+this.y},setXY:function(t,e){return this.x=t,this.y=e,this},setX:function(t){return this.x=t,this},setY:function(t){return this.y=t,this},setFromPoint:function(t){return this.x=t.x,this.y=t.y,this},swap:function(t){var e=this.x,i=this.y;this.x=t.x,this.y=t.y,t.x=e,t.y=i},clone:function(){return new i(this.x,this.y)}}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={});function d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var c=s/a,h=o/a;0<=c&&c<=1&&0<=h&&h<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+c*(e.x-t.x),t.y+c*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,c=i.length;for(o=0;o=c&&(h.x-=c),h.x<=-c&&(h.x+=c),h.y>=c&&(h.y-=c),h.y<=c&&(h.y+=c),h.x-=o.offsetX,h.y-=o.offsetY,h}function y(t){return t.flipX!==t.flipY}function _(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function x(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.x)-o.x,h=s.skewX;c<2?n=0:(n=v(Math.atan2(c/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),_(s,"skewY","scaleY","y",u)}return l}function C(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.y)-o.y,h=s.skewY;c<2?n=0:(n=v(Math.atan2(c/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),_(s,"skewX","scaleX","x",u)}return l}function E(t,e,i,r,n){n=n||{};var s,o,a,c,h,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=w(t,u),v=k(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=P(e,e.originX,e.originY,i,r),h="y"!==g?T(s.x):1,l="x"!==g?T(s.y):1,e.signX||(e.signX=h),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==h||e.signY!==l))return!1;if(c=u._getTransformedDimensions(),p&&!g){var b=Math.abs(s.x)+Math.abs(s.y),y=e.original,_=b/(Math.abs(c.x*y.scaleX/u.scaleX)+Math.abs(c.y*y.scaleY/u.scaleY));o=y.scaleX*_,a=y.scaleY*_}else o=Math.abs(s.x*u.scaleX/c.x),a=Math.abs(s.y*u.scaleY/c.y);O(e)&&(o*=2,a*=2),e.signX!==h&&"y"!==g&&(e.originX=S[e.originX],o*=-1,e.signX=h),e.signY!==l&&"x"!==g&&(e.originY=S[e.originY],a*=-1,e.signY=l)}var x=u.scaleX,C=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),x!==u.scaleX||C!==u.scaleY}n.scaleCursorStyleHandler=function(t,e,i){var r=w(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),k(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=b("rotating",m(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,c=Math.atan2(n.ey-o.y,n.ex-o.x),h=Math.atan2(r-o.y,i-o.x),l=v(h-c+n.theta);if(0o.r2,h=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),h[4]-=l,h[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(h)+'" ',"linear"===this.type?n=["\n']:"radial"===this.type&&(n=["\n']),"radial"===this.type){if(c)for((a=a.concat()).reverse(),i=0,r=a.length;i\n')}return n.push("linear"===this.type?"\n":"\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i\n\n\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseFloat(i[1],10)||0,offsetY:parseFloat(i[2],10)||0,blur:parseFloat(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\n\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(\d+(?:\.\d*)?(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,h=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push(""),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('\n','\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("\n',"Created with Fabric.js ",fabric.version,"\n","\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'\n'+this.clipPath.toClipPathSVG(t.reviver)+"\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,c="",h={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o',"\n",c,"","\n"].join("")),c},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r\n")}else t.push('\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],h(this._objects,i),this._objects.unshift(i);else h(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,limitedToCanvasSize:!1,_setBrushStyles:function(t){t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0},_isOutSideCanvas:function(t){return t.x<0||t.x>this.canvas.getWidth()||t.y<0||t.y>this.canvas.getHeight()}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,drawStraightLine:!1,straightLineKey:"shiftKey",initialize:function(t){this.canvas=t,this._points=[]},needsFullRender:function(){return this.callSuper("needsFullRender")||this._hasStraightLine},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],(!0!==this.limitedToCanvasSize||!this._isOutSideCanvas(t))&&this._captureDrawingPath(t)&&1"},getObjectScaling:function(){if(!this.group)return{scaleX:this.scaleX,scaleY:this.scaleY};var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return h.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",c=this.clipPath,h=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=c&&c.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return c&&(c.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='\n'+c.toClipPathSVG(s)+"\n"),l&&g.push("\n"),g.push("\n"),i=[o,h,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),c&&g.push(r),g.push(t.join("")),g.push("\n"),l&&g.push("\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.degreesToRadians;s.Circle?s.warn("fabric.Circle is already defined."):(s.Circle=s.util.createClass(s.Object,{type:"circle",radius:0,startAngle:0,endAngle:360,cacheProperties:s.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%360;if(0===e)t=["\n'];else{var i=o(this.startAngle),r=o(this.endAngle),n=this.radius;t=['\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,o(this.startAngle),o(this.endAngle),!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),s.Circle.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),s.Circle.fromElement=function(t,e){var i,r=s.parseAttributes(t,s.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new s.Circle(r))},s.Circle.fromObject=function(t,e){s.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Triangle?i.warn("fabric.Triangle is already defined"):(i.Triangle=i.util.createClass(i.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_toSVG:function(){var t=this.width/2,e=this.height/2;return["']}}),i.Triangle.fromObject=function(t,e){return i.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,c=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-c*e,o,s+r,o+c*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-c*i,s+r-c*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+c*e,o+n,s,o+n-c*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+c*i,s+c*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,c=0,h=this.path.length;c"},addWithUpdate:function(t){var e=!!this.group;return this._restoreObjectsState(),h.util.resetObjectTransform(this),t&&(e&&h.util.removeTransformFromObject(t,this.group.calcTransformMatrix()),this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.dirty=!0,e?this.group.addWithUpdate():this.setCoords(),this},removeWithUpdate:function(t){return this._restoreObjectsState(),h.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);h.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=h.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=h.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=h.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e\n"],i=0,r=this._objects.length;i\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r\n','\t\n',"\n"),o=' clip-path="url(#imageCrop_'+c+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t\n"),this.stroke||this.strokeDashArray){var h=this.fill;this.fill=null,t=["\t\n'],this.fill=h}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e=t;for(var a=["highp","mediump","lowp"],c=0;c<3;c++)if(void 0,i="precision "+a[c]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[c];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var c,h,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,c=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),h=window.performance.now()-c,c=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-c 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,c=t.imageData.data,h=c.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){var e=this.path;e&&!e.isNotVisible()&&e._render(t),this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){if(t.textBaseline="alphabetical",this.path)switch(this.pathAlign){case"center":t.textBaseline="middle";break;case"ascender":t.textBaseline="top";break;case"descender":t.textBaseline="bottom"}t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;ethis.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),c={x:e.left+o,y:e.top+e.topOffset+s},h=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/h,f=l.height/h,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return c=fabric.util.transformPoint(c,a),(c=fabric.util.transformPoint(c,this.canvas.viewportTransform)).x*=p,c.y*=v,c.x<0&&(c.x=0),c.x>d&&(c.x=d),c.y<0&&(c.y=0),c.y>g&&(c.y=g),c.x+=this.canvas._offset.left,c.y+=this.canvas._offset.top,{left:c.x+"px",top:c.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,c=s.lineIndex,h=s.charIndex;if(o!==c){if(this.styles[o])for(i=a;it?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e,i=this.getLocalPointer(t),r=0,n=0,s=0,o=0,a=0,c=0,h=this._textLines.length;cthis._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",this.hiddenTextareaContainer?this.hiddenTextareaContainer.appendChild(this.hiddenTextarea):fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},keysMapRtl:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorLeft",36:"moveCursorRight",37:"moveCursorRight",38:"moveCursorUp",39:"moveCursorLeft",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){var e="rtl"===this.direction?this.keysMapRtl:this.keysMap;if(t.keyCode in e)this[e[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,c=this._text.length,h=a.length,l=h-c,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):h=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i",t.textSpans.join(""),"\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o",fabric.util.string.escapeXml(t),""].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,c,h=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=h*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)c=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!c&&this._reSpaceAndTab.test(d[g])&&(c=!0),c||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),c=this._hasStyleChangedForSvg(n,s)),c&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,c=0,h=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;uthis.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;sthis.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n_)for(var C=1,S=d.length;Ct[i-2].x?1:n.x===t[i-2].x?0:-1,c=n.y>t[i-2].y?1:n.y===t[i-2].y?0:-1),r.push(["L",n.x+a*e,n.y+c*e]),r},fabric.util.getPathSegmentsInfo=l,fabric.util.getBoundsOfCurve=function(t,e,i,r,n,s,o,a){var c;if(fabric.cachesBoundsOfCurve&&(c=D.call(arguments),fabric.boundsOfCurveCache[c]))return fabric.boundsOfCurveCache[c];var h,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,h=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0/g,">")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;it.x&&this.y>t.y},gte:function(t){return this.x>=t.x&&this.y>=t.y},lerp:function(t,e){return void 0===e&&(e=.5),e=Math.max(Math.min(1,e),0),new i(this.x+(t.x-this.x)*e,this.y+(t.y-this.y)*e)},distanceFrom:function(t){var e=this.x-t.x,i=this.y-t.y;return Math.sqrt(e*e+i*i)},midPointFrom:function(t){return this.lerp(t)},min:function(t){return new i(Math.min(this.x,t.x),Math.min(this.y,t.y))},max:function(t){return new i(Math.max(this.x,t.x),Math.max(this.y,t.y))},toString:function(){return this.x+","+this.y},setXY:function(t,e){return this.x=t,this.y=e,this},setX:function(t){return this.x=t,this},setY:function(t){return this.y=t,this},setFromPoint:function(t){return this.x=t.x,this.y=t.y,this},swap:function(t){var e=this.x,i=this.y;this.x=t.x,this.y=t.y,t.x=e,t.y=i},clone:function(){return new i(this.x,this.y)}}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={});function d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var c=s/a,h=o/a;0<=c&&c<=1&&0<=h&&h<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+c*(e.x-t.x),t.y+c*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,c=i.length;for(o=0;o=c&&(h.x-=c),h.x<=-c&&(h.x+=c),h.y>=c&&(h.y-=c),h.y<=c&&(h.y+=c),h.x-=o.offsetX,h.y-=o.offsetY,h}function y(t){return t.flipX!==t.flipY}function _(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function x(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.x)-o.x,h=s.skewX;c<2?n=0:(n=v(Math.atan2(c/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),_(s,"skewY","scaleY","y",u)}return l}function C(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=P(e,e.originX,e.originY,i,r),c=Math.abs(2*a.y)-o.y,h=s.skewY;c<2?n=0:(n=v(Math.atan2(c/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),y(s)&&(n=-n));var l=h!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),_(s,"skewX","scaleX","x",u)}return l}function E(t,e,i,r,n){n=n||{};var s,o,a,c,h,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=w(t,u),v=k(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=P(e,e.originX,e.originY,i,r),h="y"!==g?T(s.x):1,l="x"!==g?T(s.y):1,e.signX||(e.signX=h),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==h||e.signY!==l))return!1;if(c=u._getTransformedDimensions(),p&&!g){var b=Math.abs(s.x)+Math.abs(s.y),y=e.original,_=b/(Math.abs(c.x*y.scaleX/u.scaleX)+Math.abs(c.y*y.scaleY/u.scaleY));o=y.scaleX*_,a=y.scaleY*_}else o=Math.abs(s.x*u.scaleX/c.x),a=Math.abs(s.y*u.scaleY/c.y);O(e)&&(o*=2,a*=2),e.signX!==h&&"y"!==g&&(e.originX=S[e.originX],o*=-1,e.signX=h),e.signY!==l&&"x"!==g&&(e.originY=S[e.originY],a*=-1,e.signY=l)}var x=u.scaleX,C=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),x!==u.scaleX||C!==u.scaleY}n.scaleCursorStyleHandler=function(t,e,i){var r=w(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),k(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=b("rotating",m(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,c=Math.atan2(n.ey-o.y,n.ex-o.x),h=Math.atan2(r-o.y,i-o.x),l=v(h-c+n.theta);if(0o.r2,h=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),h[4]-=l,h[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(h)+'" ',"linear"===this.type?n=["\n']:"radial"===this.type&&(n=["\n']),"radial"===this.type){if(c)for((a=a.concat()).reverse(),i=0,r=a.length;i\n')}return n.push("linear"===this.type?"\n":"\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i\n\n\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseFloat(i[1],10)||0,offsetY:parseFloat(i[2],10)||0,blur:parseFloat(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\n\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(-?\d+(?:\.\d*)?(?:px)?(?:\s?|$))?(\d+(?:\.\d*)?(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,h=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push(""),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('\n','\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("\n',"Created with Fabric.js ",fabric.version,"\n","\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'\n'+this.clipPath.toClipPathSVG(t.reviver)+"\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,c="",h={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o',"\n",c,"","\n"].join("")),c},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r\n")}else t.push('\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],h(this._objects,i),this._objects.unshift(i);else h(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,limitedToCanvasSize:!1,_setBrushStyles:function(t){t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0},_isOutSideCanvas:function(t){return t.x<0||t.x>this.canvas.getWidth()||t.y<0||t.y>this.canvas.getHeight()}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,drawStraightLine:!1,straightLineKey:"shiftKey",initialize:function(t){this.canvas=t,this._points=[]},needsFullRender:function(){return this.callSuper("needsFullRender")||this._hasStraightLine},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&(this.drawStraightLine=e.e[this.straightLineKey],(!0!==this.limitedToCanvasSize||!this._isOutSideCanvas(t))&&this._captureDrawingPath(t)&&1"},getObjectScaling:function(){if(!this.group)return{scaleX:this.scaleX,scaleY:this.scaleY};var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return h.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",c=this.clipPath,h=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=c&&c.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return c&&(c.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='\n'+c.toClipPathSVG(s)+"\n"),l&&g.push("\n"),g.push("\n"),i=[o,h,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),c&&g.push(r),g.push(t.join("")),g.push("\n"),l&&g.push("\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.degreesToRadians;s.Circle?s.warn("fabric.Circle is already defined."):(s.Circle=s.util.createClass(s.Object,{type:"circle",radius:0,startAngle:0,endAngle:360,cacheProperties:s.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%360;if(0===e)t=["\n'];else{var i=o(this.startAngle),r=o(this.endAngle),n=this.radius;t=['\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,o(this.startAngle),o(this.endAngle),!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),s.Circle.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),s.Circle.fromElement=function(t,e){var i,r=s.parseAttributes(t,s.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new s.Circle(r))},s.Circle.fromObject=function(t,e){s.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Triangle?i.warn("fabric.Triangle is already defined"):(i.Triangle=i.util.createClass(i.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_toSVG:function(){var t=this.width/2,e=this.height/2;return["']}}),i.Triangle.fromObject=function(t,e){return i.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,c=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-c*e,o,s+r,o+c*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-c*i,s+r-c*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+c*e,o+n,s,o+n-c*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+c*i,s+c*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,c=0,h=this.path.length;c"},addWithUpdate:function(t){var e=!!this.group;return this._restoreObjectsState(),h.util.resetObjectTransform(this),t&&(e&&h.util.removeTransformFromObject(t,this.group.calcTransformMatrix()),this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.dirty=!0,e?this.group.addWithUpdate():this.setCoords(),this},removeWithUpdate:function(t){return this._restoreObjectsState(),h.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);h.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=h.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=h.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=h.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e\n"],i=0,r=this._objects.length;i\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r\n','\t\n',"\n"),o=' clip-path="url(#imageCrop_'+c+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t\n"),this.stroke||this.strokeDashArray){var h=this.fill;this.fill=null,t=["\t\n'],this.fill=h}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e=t;for(var a=["highp","mediump","lowp"],c=0;c<3;c++)if(void 0,i="precision "+a[c]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[c];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var c,h,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,c=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),h=window.performance.now()-c,c=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-c 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,c=t.imageData.data,h=c.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){var e=this.path;e&&!e.isNotVisible()&&e._render(t),this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){if(t.textBaseline="alphabetical",this.path)switch(this.pathAlign){case"center":t.textBaseline="middle";break;case"ascender":t.textBaseline="top";break;case"descender":t.textBaseline="bottom"}t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;ethis.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),c={x:e.left+o,y:e.top+e.topOffset+s},h=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/h,f=l.height/h,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return c=fabric.util.transformPoint(c,a),(c=fabric.util.transformPoint(c,this.canvas.viewportTransform)).x*=p,c.y*=v,c.x<0&&(c.x=0),c.x>d&&(c.x=d),c.y<0&&(c.y=0),c.y>g&&(c.y=g),c.x+=this.canvas._offset.left,c.y+=this.canvas._offset.top,{left:c.x+"px",top:c.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,c=s.lineIndex,h=s.charIndex;if(o!==c){if(this.styles[o])for(i=a;it?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e,i=this.getLocalPointer(t),r=0,n=0,s=0,o=0,a=0,c=0,h=this._textLines.length;cthis._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",this.hiddenTextareaContainer?this.hiddenTextareaContainer.appendChild(this.hiddenTextarea):fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},keysMapRtl:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorLeft",36:"moveCursorRight",37:"moveCursorRight",38:"moveCursorUp",39:"moveCursorLeft",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){var e="rtl"===this.direction?this.keysMapRtl:this.keysMap;if(t.keyCode in e)this[e[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,c=this._text.length,h=a.length,l=h-c,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):h=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i",t.textSpans.join(""),"\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o",fabric.util.string.escapeXml(t),""].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,c,h=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=h*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)c=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!c&&this._reSpaceAndTab.test(d[g])&&(c=!0),c||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),c=this._hasStyleChangedForSvg(n,s)),c&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,c=0,h=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;uthis.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;sthis.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/slides/libs/header-attrs/header-attrs.js b/slides/libs/header-attrs/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/slides/libs/header-attrs/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/slides/libs/kePrint/kePrint.js b/slides/libs/kePrint/kePrint.js new file mode 100644 index 00000000..e6fbbfc4 --- /dev/null +++ b/slides/libs/kePrint/kePrint.js @@ -0,0 +1,8 @@ +$(document).ready(function(){ + if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') { + $('[data-toggle="tooltip"]').tooltip(); + } + if ($('[data-toggle="popover"]').popover === 'function') { + $('[data-toggle="popover"]').popover(); + } +}); diff --git a/slides/libs/lightable/lightable.css b/slides/libs/lightable/lightable.css new file mode 100644 index 00000000..3be3be90 --- /dev/null +++ b/slides/libs/lightable/lightable.css @@ -0,0 +1,272 @@ +/*! + * lightable v0.0.1 + * Copyright 2020 Hao Zhu + * Licensed under MIT (https://github.com/haozhu233/kableExtra/blob/master/LICENSE) + */ + +.lightable-minimal { + border-collapse: separate; + border-spacing: 16px 1px; + width: 100%; + margin-bottom: 10px; +} + +.lightable-minimal td { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal th { + margin-left: 5px; + margin-right: 5px; +} + +.lightable-minimal thead tr:last-child th { + border-bottom: 2px solid #00000050; + empty-cells: hide; + +} + +.lightable-minimal tbody tr:first-child td { + padding-top: 0.5em; +} + +.lightable-minimal.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-minimal.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic { + border-top: 0.16em solid #111111; + border-bottom: 0.16em solid #111111; + width: 100%; + margin-bottom: 10px; + margin: 10px 5px; +} + +.lightable-classic tfoot tr td { + border: 0; +} + +.lightable-classic tfoot tr:first-child td { + border-top: 0.14em solid #111111; +} + +.lightable-classic caption { + color: #222222; +} + +.lightable-classic td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic thead tr:last-child th { + border-bottom: 0.10em solid #111111; +} + +.lightable-classic.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-classic-2 { + border-top: 3px double #111111; + border-bottom: 3px double #111111; + width: 100%; + margin-bottom: 10px; +} + +.lightable-classic-2 tfoot tr td { + border: 0; +} + +.lightable-classic-2 tfoot tr:first-child td { + border-top: 3px double #111111; +} + +.lightable-classic-2 caption { + color: #222222; +} + +.lightable-classic-2 td { + padding-left: 5px; + padding-right: 5px; + color: #222222; +} + +.lightable-classic-2 th { + padding-left: 5px; + padding-right: 5px; + font-weight: normal; + color: #222222; +} + +.lightable-classic-2 tbody tr:last-child td { + border-bottom: 3px double #111111; +} + +.lightable-classic-2 thead tr:last-child th { + border-bottom: 1px solid #111111; +} + +.lightable-classic-2.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-classic-2.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #EEE; + border-collapse: collapse; + margin-bottom: 10px; +} + +.lightable-material tfoot tr td { + border: 0; +} + +.lightable-material tfoot tr:first-child td { + border-top: 1px solid #EEE; +} + +.lightable-material th { + height: 56px; + padding-left: 16px; + padding-right: 16px; +} + +.lightable-material td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + border-top: 1px solid #eeeeee; +} + +.lightable-material.lightable-hover tbody tr:hover { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody tr:nth-child(even) { + background-color: #f5f5f5; +} + +.lightable-material.lightable-striped tbody td { + border: 0; +} + +.lightable-material.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #ddd; +} + +.lightable-material-dark { + min-width: 100%; + white-space: nowrap; + table-layout: fixed; + font-family: Roboto, sans-serif; + border: 1px solid #FFFFFF12; + border-collapse: collapse; + margin-bottom: 10px; + background-color: #363640; +} + +.lightable-material-dark tfoot tr td { + border: 0; +} + +.lightable-material-dark tfoot tr:first-child td { + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark th { + height: 56px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF60; +} + +.lightable-material-dark td { + height: 52px; + padding-left: 16px; + padding-right: 16px; + color: #FFFFFF; + border-top: 1px solid #FFFFFF12; +} + +.lightable-material-dark.lightable-hover tbody tr:hover { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody tr:nth-child(even) { + background-color: #FFFFFF12; +} + +.lightable-material-dark.lightable-striped tbody td { + border: 0; +} + +.lightable-material-dark.lightable-striped thead tr:last-child th { + border-bottom: 1px solid #FFFFFF12; +} + +.lightable-paper { + width: 100%; + margin-bottom: 10px; + color: #444; +} + +.lightable-paper tfoot tr td { + border: 0; +} + +.lightable-paper tfoot tr:first-child td { + border-top: 1px solid #00000020; +} + +.lightable-paper thead tr:last-child th { + color: #666; + vertical-align: bottom; + border-bottom: 1px solid #00000020; + line-height: 1.15em; + padding: 10px 5px; +} + +.lightable-paper td { + vertical-align: middle; + border-bottom: 1px solid #00000010; + line-height: 1.15em; + padding: 7px 5px; +} + +.lightable-paper.lightable-hover tbody tr:hover { + background-color: #F9EEC1; +} + +.lightable-paper.lightable-striped tbody tr:nth-child(even) { + background-color: #00000008; +} + +.lightable-paper.lightable-striped tbody td { + border: 0; +} + diff --git a/slides/libs/macros.js b/slides/libs/macros.js new file mode 100644 index 00000000..071125df --- /dev/null +++ b/slides/libs/macros.js @@ -0,0 +1,4 @@ +remark.macros.scale = function (percentage) { + var url = this; + return ''; +}; diff --git a/slides/libs/mark.js-8.11.1/mark.min.js b/slides/libs/mark.js-8.11.1/mark.min.js new file mode 100644 index 00000000..1eea0533 --- /dev/null +++ b/slides/libs/mark.js-8.11.1/mark.min.js @@ -0,0 +1,7 @@ +/*!*************************************************** +* mark.js v8.11.1 +* https://markjs.io/ +* Copyright (c) 2014–2018, Julian Kühnel +* Released under the MIT license https://git.io/vwTVl +*****************************************************/ +!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n1&&void 0!==arguments[1])||arguments[1],i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[],o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:5e3;t(this,e),this.ctx=n,this.iframes=r,this.exclude=i,this.iframesTimeout=o}return n(e,[{key:"getContexts",value:function(){var e=[];return(void 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for O, used to enable tile view + + // Slides container + const remarkSlideShow = document.querySelector('div.remark-slides-area') + + let tileView = document.querySelector('div.remark__tile-view') + if (!tileView) { + tileView = document.createElement('div') + tileView.className = 'remark__tile-view' + } + + const toggleElement = el => { + el.style.display = el.style.display === 'none' ? '' : 'none' + } + + function slideshowResize () { + window.dispatchEvent(new Event('resize')) + } + + const toggleTileView = function () { + toggleElement(tileView) + toggleElement(remarkSlideShow) + + if (tileView.style.display === 'none') { + // tileView is now hidden, go to current slide + slideshow.gotoSlide(tileVars.currentSlideIdx + 1) + + slideshow.resume() + slideshowResize() + } else { + // store current slide index prior to launching tile-view + tileVars.currentSlideIdx = slideshow.getCurrentSlideIndex() + + // set class on seen and current slide and scroll into view + const tiles = tileView.querySelectorAll('.remark__tile-view__tile'); + [...tiles].forEach((tile, idx) => { + tile.classList.toggle( + 'remark__tile-view__tile--seen', + idx < tileVars.currentSlideIdx + ) + tile.classList.toggle( + 'remark__tile-view__tile--current', + idx === tileVars.currentSlideIdx + ) + }) + tiles[tileVars.currentSlideIdx].scrollIntoView({ + behavior: 'smooth', + block: 'center' + }) + + slideshow.pause() + } + } + + const createTileView = ({ minSize = 250, title = document.title } = {}) => { + // Tile view header + const h1 = document.createElement('h1') + h1.className = 'remark__tile-view__header' + h1.innerHTML = title + + tileView.appendChild(h1) + const tiles = document.createElement('div') + tiles.className = 'remark__tile-view__tiles' + tileView.appendChild(tiles) + + // Clone slideshow + const slidesArea = remarkSlideShow.cloneNode(true) + + // Calculate slide scale and tile container size + const slideScaler = slidesArea.querySelector('.remark-slide-scaler') + const slideWidth = parseFloat(slideScaler.style.width.replace('px', '')) + const slideHeight = parseFloat( + slideScaler.style.height.replace('px', '') + ) + const scale = minSize / Math.min(slideWidth, slideHeight) + let tileWidth = Math.round(slideWidth * scale) + let tileHeight = Math.round(slideHeight * scale) + + // convert tileWidth/Height to em relative to base 18px (set in CSS) + tileWidth = tileWidth / 18 + tileHeight = tileHeight / 18 + + tiles.style.gridTemplateColumns = `repeat(auto-fill, minmax(${tileWidth}em, 1fr))` + + const slides = slidesArea.querySelectorAll('.remark-slide-container') + + slides.forEach((slide, slideIndex) => { + let tile = document.createElement('template') + tile.innerHTML = `
    +
    +
    ` + tile = tile.content.firstChild + + const tileContainer = tile.querySelector( + '.remark__tile-view__slide-container' + ) + tileContainer.style.width = `${tileWidth}em` + tileContainer.style.height = `${tileHeight}em` + + const thisSlideScaler = slide.querySelector('.remark-slide-scaler') + thisSlideScaler.style.top = '0px' + thisSlideScaler.style.left = '0px' + thisSlideScaler.style.transform = `scale(${scale})` + thisSlideScaler.parentElement.classList.add('remark-visible') + + slide.addEventListener('click', () => { + tileVars.currentSlideIdx = slideIndex + toggleTileView() + }) + + tileContainer.appendChild(slide) + tiles.appendChild(tile) + }) + + document.body.appendChild(tileView) + } + + const tileVars = {} + + document.addEventListener('keydown', ev => { + if (ev.keyCode === launchKey) { + toggleTileView() + } + }) + + const addTileViewHelpText = () => { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 'o' + newRow.innerHTML += 'Tile View: Overview of Slides' + helpTable.append(newRow) + } + + createTileView({ minSize: 200 }) + toggleElement(tileView) + addTileViewHelpText() + }) +})() diff --git a/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css b/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css new file mode 100644 index 00000000..be14e7a5 --- /dev/null +++ b/slides/libs/xaringanExtra-scribble-0.0.1/scribble.css @@ -0,0 +1,157 @@ +:root { + --xe-scribble--pen-color: #FF0000; + --xe-scribble--button-draw-active-bg: #FF0000; + --xe-scribble--button-draw-active-fg: #FFFFFF; + --xe-scribble--button-active-color: #000000; + --xe-scribble--button-inactive-color: #666666; +} + +.xe-scribble__cursor__eraser { + position: absolute; + height: 10px; + width: 10px; + border-radius: 50%; + pointer-events: none; + z-index: 5; +} + +.xe-scribble__cursor__eraser.hidden { + display: none; +} + +.xe-scribble { + position: absolute; + top: 0px; + left: 0px; +} + +.xe-scribble__canvas__drawing, +.xe-scribble__canvas, +.xe-scribble { + pointer-events: none; + z-index: 1; +} + +.xe-scribble__canvas__drawing.active { + pointer-events: all; +} + +.xe-scribble__tools { + position: absolute; + top: 10px; + right: 10px; + pointer-events: all; + z-index: 101; + width: 32px; +} + +.xe-scribble__button { + cursor: pointer; + padding: 3px; + background: unset; + border: unset; + border-radius: 100%; + width: 100%; + height: calc(100% - 3px); + margin-bottom: 5px; + opacity: 1; + transition: transform ease-out 100ms, opacity ease-out 80ms; +} + +.xe-scribble__button:hover { + background-color: #eee; +} +.xe-scribble__button.active { + background-color: #4443; +} + +.xe-scribble__tools.minimized > :nth-child(2) { + opacity: 0; + transform: translateY(-100%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(3) { + opacity: 0; + transform: translateY(-200%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(4) { + opacity: 0; + transform: translateY(-300%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__button > svg { + width: 100%; + height: 100%; +} + +.xe-scribble__button__draw, +.xe-scribble__button__erase, +.xe-scribble__button__clear { + color: var(--xe-scribble--button-inactive-color); +} + +.xe-scribble__button__draw:hover, +.xe-scribble__button__erase:hover, +.xe-scribble__button__clear:hover { + color: var(--xe-scribble--button-active-color); +} + +.xe-scribble__button__draw.active { + color: var(--xe-scribble--button-draw-active-fg); + background-color: var(--xe-scribble--button-draw-active-bg); +} + +.xe-scribble__button__erase.active > svg, +.xe-scribble__button__clear:hover > svg { + color: var(--xe-scribble--button-active-color); +} + +#xe-scribble__colorPicker { + border-radius: 100%; + height: 30px; + width: 30px; + margin: 0; + border: none; + outline: none; + -webkit-appearance: none; +} + +#xe-scribble__colorPicker::-webkit-color-swatch-wrapper { + padding: 0; +} + +#xe-scribble__colorPicker::-webkit-color-swatch { + border-radius: 100%; +} + +#xe-scribble__colorPicker::-moz-color-swatch{ + border: none; + border-radius: 100%; +} + +/* --- +
    + + + + +
    + +#f44336 #E91E63 #9C27B0 #673AB7 #3F51B5 #2196F3 #03A9F4 #00BCD4 #009688 #4CAF50 #8BC34A #CDDC39 #FFEB3B #FFC107 #FF9800 #FF5722 #795548 #9E9E9E #000000 #FFFFFF +---*/ + +@media print { + .xe-scribble__tools { + display: none; + } +} diff --git a/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js b/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js new file mode 100644 index 00000000..c6f9edfd --- /dev/null +++ b/slides/libs/xaringanExtra-scribble-0.0.1/scribble.js @@ -0,0 +1,675 @@ +/* + * Scribble for remark.js/xaringan + * Matthew T. Warkentin + * and Garrick Aden-Buie + */ + +/* global slideshow,fabric */ + +class Scribble { + constructor (opts) { + // User options + this.opts = opts + this.penColors = opts.pen_color || '#FF0000' + this.currColor = this.penColors[0] + this.penSize = opts.pen_size || 3 + this.eraserSize = opts.eraser_size || this.penSize * 10 + this.tolerance = this.eraserSize / 2 + // this.eraserColor = opts['eraser_color'] || 'rgba(0, 0, 0, 0.1)' + this.transparent = 'rgba(0, 0, 0, 0)' + this.opts.palette = [ + ...this.opts.palette, + ...this.defaultPresetColors.slice(this.opts.palette.length) + ] + + // Fabric objects + this.fabrics = null + this.currFabric = null + this.pathCache = [] + this.undo = this.undo.bind(this) + this.redo = this.redo.bind(this) + + // State objects + this.mouseDown = false + this.drawMode = false + this.eraseMode = false + this.hideToolbox = true + + this.eraserCursorMovement = this.eraserCursorMovement.bind(this) + this.eraserDetectErase = this.eraserDetectErase.bind(this) + this.setPresetColor = this.setPresetColor.bind(this) + + // Toolbox objects + this.launchKey = 83 // "S" used to toggle toolbox/state + this.toolBox = null + this.drawBtn = null + this.eraseBtn = null + this.clearBtn = null + this.colorPicker = null + this.eraserCursor = null + + // Scribble initialization + this.setPenColorCSSVariables(this.currColor) + this.addCanvasToAllSlides() + this.addCanvasHelpText() + this.assembleToolbox() + this.addToolboxToSlide() + this.initEraserCursor() + this.addToggleToolbox() + this.resizeContent() + + this.addDrawing() + this.addClearing() + this.addErasing() + + // Scribble continuous updating + slideshow.on('afterShowSlide', (slide) => { + this.currFabric = this.fabrics[slide.getSlideIndex()] + this.addToolboxToSlide() + this.pathCache = [] + }) + slideshow.on( + 'beforeHideSlide', + this.removeTransparentEraserPaths.bind(this) + ) + window.addEventListener('resize', this.resizeContent.bind(this)) + } + + getVisibleSlide () { + return document.querySelector('.remark-visible') + } + + getVisibleSlideSize () { + const slideSize = this.getVisibleSlide() + .querySelector('.remark-slide-scaler') + .getBoundingClientRect() + return slideSize + } + + getVisibleSlideScaleRatio () { + const scaleRatio = this.getVisibleSlide().querySelector( + '.remark-slide-scaler' + ).style.transform + return scaleRatio + } + + getVisibleSlideCanvas () { + return this.fabrics[slideshow.getCurrentSlideIndex()] + } + + getVisibleSlideOuterContainer () { + return this.getVisibleSlide().querySelector( + '.xe-scribble' + ) + } + + getVisibleSlideCanvasContainers () { + return this.getVisibleSlide().querySelectorAll( + '.xe-scribble__canvas__drawing' + ) + } + + setPenColorCSSVariables (color) { + const root = document.documentElement + root.style.setProperty('--xe-scribble--button-draw-active-bg', color) + root.style.setProperty( + '--xe-scribble--button-draw-active-fg', + this.pickContrastForegroundColor(color) + ) + root.style.setProperty('--xe-scribble--pen-color', color) + } + + createCanvas (id) { + const slideSize = this.getVisibleSlideSize() + + const canvasDiv = document.createElement('div') + canvasDiv.classList.add('xe-scribble') + canvasDiv.style.width = slideSize.width + canvasDiv.style.height = slideSize.height + canvasDiv.style.left = slideSize.left + 'px' + canvasDiv.style.top = slideSize.top + 'px' + ;['mousedown', 'touchstart'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mousedown.bind(this)) + }) + ;['mouseup', 'touchend'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mouseup.bind(this)) + }) + + const canvas = document.createElement('canvas') + canvas.setAttribute('id', 'canvas' + id) + canvas.classList.add('xe-scribble__canvas__drawing') + canvas.setAttribute('width', slideSize.width) + canvas.setAttribute('height', slideSize.height) + + canvasDiv.appendChild(canvas) + + return canvasDiv + } + + addCanvasToAllSlides () { + // Add to slide container + const nslides = slideshow.getSlideCount() + let i = 0 + const slides = document.getElementsByClassName('remark-slide-container') + slides.forEach((slide) => { + if (i + 1 <= nslides) { + const canvasDiv = this.createCanvas(i) + slide.appendChild(canvasDiv) + i += 1 + } + }) + + // Convert to fabric.Canvas + const allCanvases = document.querySelectorAll('.xe-scribble__canvas__drawing') + this.fabrics = [] + allCanvases.forEach((el, index) => { + this.fabrics[index] = new fabric.Canvas(el.id, { + isDrawingMode: false, + containerClass: 'xe-scribble__canvas' + }) + }) + this.currFabric = this.fabrics[slideshow.getCurrentSlideIndex()] + } + + resizeContent () { + const scalerSize = document + .querySelector('.remark-visible .remark-slide-scaler') + .getBoundingClientRect() + + // Resize canvas container + const outerContainers = document.querySelectorAll( + '.xe-scribble' + ) + outerContainers.forEach((div) => { + div.style.width = scalerSize.width + 'px' + div.style.height = scalerSize.height + 'px' + div.style.left = scalerSize.left + 'px' + div.style.top = scalerSize.top + 'px' + }) + + const scaleRatio = parseFloat( + this.getVisibleSlideScaleRatio().match('\\d+.\\d+') + ) + + // Resize canvas itself + this.fabrics.forEach((fab) => { + fab.setWidth(scalerSize.width) + fab.setHeight(scalerSize.height) + fab.setZoom(scaleRatio) + }) + + // Reposition toolbox outside slides if there is extra space + if ((window.innerWidth - scalerSize.width) / 2 >= 42) { + this.toolBox.style.right = '-40px' + } else { + this.toolBox.style.right = '10px' + } + } + + createButton (id, name, title) { + const btn = document.createElement('button') + btn.classList.add('xe-scribble__button', 'xe-scribble__button__' + id) + btn.innerHTML = this.svgs[name] + btn.title = title || (name.slice(0, 1).toUpperCase() + name.slice(1)) + return btn + } + + createColorPicker () { + const colorPicker = document.createElement('input') + colorPicker.setAttribute('id', 'xe-scribble__colorPicker') + colorPicker.classList.add('xe-scribble__button') + colorPicker.setAttribute('type', 'color') + colorPicker.setAttribute('value', this.currColor) + colorPicker.title = 'Choose Pen Color' + return colorPicker + } + + createToolbox () { + this.toolBox = document.createElement('div') + this.toolBox.classList = 'xe-scribble__tools' + } + + rgbColorToHex (color) { + // https://haacked.com/archive/2009/12/29/convert-rgb-to-hex.aspx/ + if (color.substr(0, 1) === '#') { + return color + } + const digits = /rgb\((\d+),\s*(\d+),\s*(\d+)/.exec(color) + + const red = parseInt(digits[1]) + const green = parseInt(digits[2]) + const blue = parseInt(digits[3]) + + const rgb = blue | (green << 8) | (red << 16) + return '#' + rgb.toString(16).padStart(6, '0') + } + + pickContrastForegroundColor (color, light, dark, threshold) { + color = this.rgbColorToHex(color) + + // https://stackoverflow.com/a/41491220/2022615 + light = light || '#FFFFFF' + dark = dark || '#000000' + threshold = threshold || 145 + color = (color.charAt(0) === '#') ? color.substring(1, 7) : color + const r = parseInt(color.substring(0, 2), 16) // hexToR + const g = parseInt(color.substring(2, 4), 16) // hexToG + const b = parseInt(color.substring(4, 6), 16) // hexToB + const score = ((r * 0.299) + (g * 0.587) + (b * 0.114)) + return (score > threshold) ? dark : light + } + + assembleToolbox () { + this.createToolbox() + + // Build draw, erase, clear buttons + this.drawBtn = this.createButton('draw', 'draw', 'Start Drawing (S)') + this.eraseBtn = this.createButton('erase', 'eraser', 'Erase Lines') + this.clearBtn = this.createButton('clear', 'trash', 'Clear This Slide') + + this.colorPicker = this.createColorPicker() + this.colorPicker.addEventListener('input', () => { + this.currColor = this.colorPicker.value + if (this.drawMode) { + this.currFabric.freeDrawingBrush.color = this.currColor + } + this.setPenColorCSSVariables(this.currColor) + }) + + ;[this.drawBtn, this.eraseBtn, this.clearBtn, this.colorPicker] + .forEach((btn) => { + this.toolBox.appendChild(btn) + }) + + ;['click', 'touchend'].forEach((action) => { + this.toolBox.addEventListener(action, ev => ev.stopPropagation()) + }) + } + + noScribble () { + return this.getVisibleSlide() + .querySelector('.remark-slide-content') + .classList.contains('no-scribble') + } + + addToolboxToSlide () { + if (this.noScribble()) return + + const canvasDiv = this.getVisibleSlideOuterContainer() + canvasDiv.appendChild(this.toolBox) + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + } + } + + addToggleToolbox () { + const self = this + + document.addEventListener('keydown', (ev) => { + if (ev.keyCode === this.launchKey) { + self.toggleToolbox() + } + }) + + this.toolBox.addEventListener('mouseleave', function (ev) { + if (self.drawMode | self.eraseMode) { + return + } + self.minimizeTimeout = setTimeout(() => self.toggleToolbox(false), 2000) + }) + + this.toolBox.addEventListener('mouseenter', function (ev) { + if (self.minimizeTimeout) { + clearTimeout(self.minimizeTimeout) + } + }) + } + + toggleToolbox (show) { + if (this.noScribble()) return + + const isMinimized = this.toolBox.matches('.minimized') + if (typeof show !== 'undefined' && show === !isMinimized) return + + this.hideToolbox = !(show || isMinimized) + this.toolBox.classList.toggle('minimized') + + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + if (this.drawMode) { + this.drawBtn.click() + } else if (this.eraseMode) { + this.eraseBtn.click() + } + } else { + this.toolBox.classList.remove('minimized') + clearTimeout(this.minimizeTimeout) + this.minimizeTimeout = null + if (!this.drawMode) this.drawBtn.click() + } + } + + addCanvasHelpText () { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 's' + newRow.innerHTML += 'Toggle scribble toolbox' + helpTable.append(newRow) + } + + mousedown () { + this.mouseDown = true + } + + mouseup () { + this.mouseDown = false + } + + getCanvasPaths () { + return this.currFabric.getObjects('path') + } + + addDrawing () { + const self = this + ;['click', 'touchend'].forEach((gesture) => { + this.drawBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + if (self.drawMode) { + self.stopDrawing() + } else { + self.startDrawing() + } + }) + }) + } + + setPresetColor (ev) { + let idx = Number(ev.key) + if (isNaN(idx) || typeof idx === 'undefined' || idx >= 10) return + idx = idx === 0 ? 10 : idx + const presetColor = this.opts.palette[idx - 1] + this.currColor = presetColor + this.currFabric.freeDrawingBrush.color = presetColor + this.setPenColorCSSVariables(presetColor) + this.colorPicker.value = presetColor + } + + startDrawing () { + if (this.noScribble()) return + + slideshow.pause() + this.toggleToolbox(true) + + this.drawMode = true + this.eraseMode = false + this.drawBtn.title = 'Stop Drawing (S)' + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.penSize + this.currFabric.freeDrawingBrush.color = this.currColor + this.currFabric.freeDrawingCursor = 'crosshair' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'draw') + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + document.addEventListener('keydown', this.setPresetColor) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + this.eraserCursor.classList.add('hidden') + this.drawBtn.classList.add('active') + this.eraseBtn.classList.remove('active') + } + + stopDrawing () { + slideshow.resume() + + this.drawMode = false + this.eraseMode = false + this.drawBtn.title = 'Start Drawing (S)' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'draw') + }) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + document.removeEventListener('keydown', this.setPresetColor) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + } + + addClearing () { + ;['click', 'touchend'].forEach((gesture) => { + this.clearBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.clearCurrentCanvas() + }) + }) + } + + clearCurrentCanvas () { + this.currFabric.forEachObject((obj) => { + this.currFabric.remove(obj) + }) + } + + addErasing () { + ;['click', 'touchend'].forEach((gesture) => { + this.eraseBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.eraseMode ? this.stopErasing() : this.startErasing() + }) + }) + } + + eraserColor () { + const slide = this.getVisibleSlide().querySelector('.remark-slide-content') + const slideBgColor = window + .getComputedStyle(slide) + .getPropertyValue('background-color') + + return this.pickContrastForegroundColor( + slideBgColor, + 'rgba(255, 255, 255, 0.33)', + 'rgba(0, 0, 0, 0.33)' + ) + } + + startErasing () { + slideshow.pause() + + this.eraseMode = true + this.drawMode = false + this.eraseBtn.title = 'Stop Erasing' + this.eraserCursor.style.backgroundColor = this.eraserColor() + this.colorPicker.classList.add('hidden') + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.addEventListener('mousemove', this.eraserDetectErase) + outerDiv.addEventListener('touchmove', this.eraserDetectErase) + + document.addEventListener('mousemove', this.eraserCursorMovement) + document.addEventListener('touchmove', this.eraserCursorMovement) + + const self = this + ;['mousemove', 'touchmove'].forEach(function (action) { + document.addEventListener(action, function (ev) { + self.eraserCursor.classList.remove('hidden') + }, { once: true }) + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.tolerance + this.currFabric.freeDrawingBrush.color = this.transparent + this.currFabric.freeDrawingCursor = 'none' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.add('active') + } + + stopErasing () { + this.drawMode = false + this.eraseMode = false + this.eraserCursor.classList.add('hidden') + this.eraseBtn.title = 'Erase Lines' + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.removeEventListener('mousemove', this.eraserDetectErase) + outerDiv.removeEventListener('touchmove', this.eraserDetectErase) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + + slideshow.resume() + } + + eraserDetectErase (ev) { + if (this.mouseDown & this.eraseMode) { + const xy = [ + this.currFabric.getPointer(ev).x, + this.currFabric.getPointer(ev).y + ] + const objs = this.getCanvasPaths() + const paths = objs.map((path) => { + return path.path + }) + + const shouldRemove = paths.map((path) => { + const toRemove = path.some((point) => { + const xcond = Math.abs(point[1] - xy[0]) < this.tolerance + const ycond = Math.abs(point[2] - xy[1]) < this.tolerance + const both = xcond & ycond + return both + }) + return toRemove + }) + + const pathCache = this.pathCache + const currFabric = this.currFabric + + objs.map(function (item, index) { + if (shouldRemove[index]) { + pathCache.push(item) + currFabric.remove(item) + } + }) + } + } + + removeTransparentEraserPaths () { + this.currFabric.forEachObject((obj) => { + if (obj.stroke === this.transparent) { + this.currFabric.remove(obj) + } + }) + } + + initEraserCursor () { + const slideArea = document.querySelector('.remark-slides-area') + this.eraserCursor = document.createElement('div') + this.eraserCursor.classList.add('xe-scribble__cursor__eraser', 'hidden') + this.eraserCursor.style.width = this.eraserSize + 'px' + this.eraserCursor.style.height = this.eraserSize + 'px' + + slideArea.appendChild(this.eraserCursor) + } + + eraserCursorMovement (ev) { + var pX + var pY + if (ev.type === 'mousemove') { + pX = ev.pageX + pY = ev.pageY + } else if (ev.type === 'touchmove') { + pX = ev.touches[0].pageX + pY = ev.touches[0].pageY + } + this.eraserCursor.style.top = pY - this.tolerance + 'px' + this.eraserCursor.style.left = pX - this.tolerance + 'px' + } + + undo (ev) { + if (ev.keyCode === 37) { + this.removeTransparentEraserPaths() + + if (this.currFabric._objects.length === 0) return + + const removedPath = this.currFabric._objects.pop() + this.pathCache.push(removedPath) + this.currFabric.renderAll() + } + } + + redo (ev) { + if (ev.keyCode === 39) { + this.removeTransparentEraserPaths() + + if (this.pathCache.length === 0) return + + const addedPath = this.pathCache.pop() + this.currFabric._objects.push(addedPath) + this.currFabric.renderAll() + } + } +} + +Scribble.prototype.svgs = { + // https://phosphoricons.com/ + draw: + '', + eraser: + '', + trash: + '' +} + +Scribble.prototype.defaultPresetColors = [ + '#e51c23', // red (1) + '#259b24', // green (2) + '#9c27b0', // purple (3) + '#5677fc', // blue (4) + '#ff9800', // orange (5) + '#00bcd4', // cyan (6) + '#ffc107', // yellow (7) + '#009688', // teal (8) + '#9e9e9e', // grey (9) + '#212121' // black (0) +] diff --git a/slides/libs/xaringanExtra-scribble/scribble.css b/slides/libs/xaringanExtra-scribble/scribble.css new file mode 100644 index 00000000..be14e7a5 --- /dev/null +++ b/slides/libs/xaringanExtra-scribble/scribble.css @@ -0,0 +1,157 @@ +:root { + --xe-scribble--pen-color: #FF0000; + --xe-scribble--button-draw-active-bg: #FF0000; + --xe-scribble--button-draw-active-fg: #FFFFFF; + --xe-scribble--button-active-color: #000000; + --xe-scribble--button-inactive-color: #666666; +} + +.xe-scribble__cursor__eraser { + position: absolute; + height: 10px; + width: 10px; + border-radius: 50%; + pointer-events: none; + z-index: 5; +} + +.xe-scribble__cursor__eraser.hidden { + display: none; +} + +.xe-scribble { + position: absolute; + top: 0px; + left: 0px; +} + +.xe-scribble__canvas__drawing, +.xe-scribble__canvas, +.xe-scribble { + pointer-events: none; + z-index: 1; +} + +.xe-scribble__canvas__drawing.active { + pointer-events: all; +} + +.xe-scribble__tools { + position: absolute; + top: 10px; + right: 10px; + pointer-events: all; + z-index: 101; + width: 32px; +} + +.xe-scribble__button { + cursor: pointer; + padding: 3px; + background: unset; + border: unset; + border-radius: 100%; + width: 100%; + height: calc(100% - 3px); + margin-bottom: 5px; + opacity: 1; + transition: transform ease-out 100ms, opacity ease-out 80ms; +} + +.xe-scribble__button:hover { + background-color: #eee; +} +.xe-scribble__button.active { + background-color: #4443; +} + +.xe-scribble__tools.minimized > :nth-child(2) { + opacity: 0; + transform: translateY(-100%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(3) { + opacity: 0; + transform: translateY(-200%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__tools.minimized > :nth-child(4) { + opacity: 0; + transform: translateY(-300%); + transition: ease-in 100ms, opacity ease-in 80ms; + z-index: 0; + pointer-events: none; +} + +.xe-scribble__button > svg { + width: 100%; + height: 100%; +} + +.xe-scribble__button__draw, +.xe-scribble__button__erase, +.xe-scribble__button__clear { + color: var(--xe-scribble--button-inactive-color); +} + +.xe-scribble__button__draw:hover, +.xe-scribble__button__erase:hover, +.xe-scribble__button__clear:hover { + color: var(--xe-scribble--button-active-color); +} + +.xe-scribble__button__draw.active { + color: var(--xe-scribble--button-draw-active-fg); + background-color: var(--xe-scribble--button-draw-active-bg); +} + +.xe-scribble__button__erase.active > svg, +.xe-scribble__button__clear:hover > svg { + color: var(--xe-scribble--button-active-color); +} + +#xe-scribble__colorPicker { + border-radius: 100%; + height: 30px; + width: 30px; + margin: 0; + border: none; + outline: none; + -webkit-appearance: none; +} + +#xe-scribble__colorPicker::-webkit-color-swatch-wrapper { + padding: 0; +} + +#xe-scribble__colorPicker::-webkit-color-swatch { + border-radius: 100%; +} + +#xe-scribble__colorPicker::-moz-color-swatch{ + border: none; + border-radius: 100%; +} + +/* --- +
    + + + + +
    + +#f44336 #E91E63 #9C27B0 #673AB7 #3F51B5 #2196F3 #03A9F4 #00BCD4 #009688 #4CAF50 #8BC34A #CDDC39 #FFEB3B #FFC107 #FF9800 #FF5722 #795548 #9E9E9E #000000 #FFFFFF +---*/ + +@media print { + .xe-scribble__tools { + display: none; + } +} diff --git a/slides/libs/xaringanExtra-scribble/scribble.js b/slides/libs/xaringanExtra-scribble/scribble.js new file mode 100644 index 00000000..c6f9edfd --- /dev/null +++ b/slides/libs/xaringanExtra-scribble/scribble.js @@ -0,0 +1,675 @@ +/* + * Scribble for remark.js/xaringan + * Matthew T. Warkentin + * and Garrick Aden-Buie + */ + +/* global slideshow,fabric */ + +class Scribble { + constructor (opts) { + // User options + this.opts = opts + this.penColors = opts.pen_color || '#FF0000' + this.currColor = this.penColors[0] + this.penSize = opts.pen_size || 3 + this.eraserSize = opts.eraser_size || this.penSize * 10 + this.tolerance = this.eraserSize / 2 + // this.eraserColor = opts['eraser_color'] || 'rgba(0, 0, 0, 0.1)' + this.transparent = 'rgba(0, 0, 0, 0)' + this.opts.palette = [ + ...this.opts.palette, + ...this.defaultPresetColors.slice(this.opts.palette.length) + ] + + // Fabric objects + this.fabrics = null + this.currFabric = null + this.pathCache = [] + this.undo = this.undo.bind(this) + this.redo = this.redo.bind(this) + + // State objects + this.mouseDown = false + this.drawMode = false + this.eraseMode = false + this.hideToolbox = true + + this.eraserCursorMovement = this.eraserCursorMovement.bind(this) + this.eraserDetectErase = this.eraserDetectErase.bind(this) + this.setPresetColor = this.setPresetColor.bind(this) + + // Toolbox objects + this.launchKey = 83 // "S" used to toggle toolbox/state + this.toolBox = null + this.drawBtn = null + this.eraseBtn = null + this.clearBtn = null + this.colorPicker = null + this.eraserCursor = null + + // Scribble initialization + this.setPenColorCSSVariables(this.currColor) + this.addCanvasToAllSlides() + this.addCanvasHelpText() + this.assembleToolbox() + this.addToolboxToSlide() + this.initEraserCursor() + this.addToggleToolbox() + this.resizeContent() + + this.addDrawing() + this.addClearing() + this.addErasing() + + // Scribble continuous updating + slideshow.on('afterShowSlide', (slide) => { + this.currFabric = this.fabrics[slide.getSlideIndex()] + this.addToolboxToSlide() + this.pathCache = [] + }) + slideshow.on( + 'beforeHideSlide', + this.removeTransparentEraserPaths.bind(this) + ) + window.addEventListener('resize', this.resizeContent.bind(this)) + } + + getVisibleSlide () { + return document.querySelector('.remark-visible') + } + + getVisibleSlideSize () { + const slideSize = this.getVisibleSlide() + .querySelector('.remark-slide-scaler') + .getBoundingClientRect() + return slideSize + } + + getVisibleSlideScaleRatio () { + const scaleRatio = this.getVisibleSlide().querySelector( + '.remark-slide-scaler' + ).style.transform + return scaleRatio + } + + getVisibleSlideCanvas () { + return this.fabrics[slideshow.getCurrentSlideIndex()] + } + + getVisibleSlideOuterContainer () { + return this.getVisibleSlide().querySelector( + '.xe-scribble' + ) + } + + getVisibleSlideCanvasContainers () { + return this.getVisibleSlide().querySelectorAll( + '.xe-scribble__canvas__drawing' + ) + } + + setPenColorCSSVariables (color) { + const root = document.documentElement + root.style.setProperty('--xe-scribble--button-draw-active-bg', color) + root.style.setProperty( + '--xe-scribble--button-draw-active-fg', + this.pickContrastForegroundColor(color) + ) + root.style.setProperty('--xe-scribble--pen-color', color) + } + + createCanvas (id) { + const slideSize = this.getVisibleSlideSize() + + const canvasDiv = document.createElement('div') + canvasDiv.classList.add('xe-scribble') + canvasDiv.style.width = slideSize.width + canvasDiv.style.height = slideSize.height + canvasDiv.style.left = slideSize.left + 'px' + canvasDiv.style.top = slideSize.top + 'px' + ;['mousedown', 'touchstart'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mousedown.bind(this)) + }) + ;['mouseup', 'touchend'].forEach((gesture) => { + canvasDiv.addEventListener(gesture, this.mouseup.bind(this)) + }) + + const canvas = document.createElement('canvas') + canvas.setAttribute('id', 'canvas' + id) + canvas.classList.add('xe-scribble__canvas__drawing') + canvas.setAttribute('width', slideSize.width) + canvas.setAttribute('height', slideSize.height) + + canvasDiv.appendChild(canvas) + + return canvasDiv + } + + addCanvasToAllSlides () { + // Add to slide container + const nslides = slideshow.getSlideCount() + let i = 0 + const slides = document.getElementsByClassName('remark-slide-container') + slides.forEach((slide) => { + if (i + 1 <= nslides) { + const canvasDiv = this.createCanvas(i) + slide.appendChild(canvasDiv) + i += 1 + } + }) + + // Convert to fabric.Canvas + const allCanvases = document.querySelectorAll('.xe-scribble__canvas__drawing') + this.fabrics = [] + allCanvases.forEach((el, index) => { + this.fabrics[index] = new fabric.Canvas(el.id, { + isDrawingMode: false, + containerClass: 'xe-scribble__canvas' + }) + }) + this.currFabric = this.fabrics[slideshow.getCurrentSlideIndex()] + } + + resizeContent () { + const scalerSize = document + .querySelector('.remark-visible .remark-slide-scaler') + .getBoundingClientRect() + + // Resize canvas container + const outerContainers = document.querySelectorAll( + '.xe-scribble' + ) + outerContainers.forEach((div) => { + div.style.width = scalerSize.width + 'px' + div.style.height = scalerSize.height + 'px' + div.style.left = scalerSize.left + 'px' + div.style.top = scalerSize.top + 'px' + }) + + const scaleRatio = parseFloat( + this.getVisibleSlideScaleRatio().match('\\d+.\\d+') + ) + + // Resize canvas itself + this.fabrics.forEach((fab) => { + fab.setWidth(scalerSize.width) + fab.setHeight(scalerSize.height) + fab.setZoom(scaleRatio) + }) + + // Reposition toolbox outside slides if there is extra space + if ((window.innerWidth - scalerSize.width) / 2 >= 42) { + this.toolBox.style.right = '-40px' + } else { + this.toolBox.style.right = '10px' + } + } + + createButton (id, name, title) { + const btn = document.createElement('button') + btn.classList.add('xe-scribble__button', 'xe-scribble__button__' + id) + btn.innerHTML = this.svgs[name] + btn.title = title || (name.slice(0, 1).toUpperCase() + name.slice(1)) + return btn + } + + createColorPicker () { + const colorPicker = document.createElement('input') + colorPicker.setAttribute('id', 'xe-scribble__colorPicker') + colorPicker.classList.add('xe-scribble__button') + colorPicker.setAttribute('type', 'color') + colorPicker.setAttribute('value', this.currColor) + colorPicker.title = 'Choose Pen Color' + return colorPicker + } + + createToolbox () { + this.toolBox = document.createElement('div') + this.toolBox.classList = 'xe-scribble__tools' + } + + rgbColorToHex (color) { + // https://haacked.com/archive/2009/12/29/convert-rgb-to-hex.aspx/ + if (color.substr(0, 1) === '#') { + return color + } + const digits = /rgb\((\d+),\s*(\d+),\s*(\d+)/.exec(color) + + const red = parseInt(digits[1]) + const green = parseInt(digits[2]) + const blue = parseInt(digits[3]) + + const rgb = blue | (green << 8) | (red << 16) + return '#' + rgb.toString(16).padStart(6, '0') + } + + pickContrastForegroundColor (color, light, dark, threshold) { + color = this.rgbColorToHex(color) + + // https://stackoverflow.com/a/41491220/2022615 + light = light || '#FFFFFF' + dark = dark || '#000000' + threshold = threshold || 145 + color = (color.charAt(0) === '#') ? color.substring(1, 7) : color + const r = parseInt(color.substring(0, 2), 16) // hexToR + const g = parseInt(color.substring(2, 4), 16) // hexToG + const b = parseInt(color.substring(4, 6), 16) // hexToB + const score = ((r * 0.299) + (g * 0.587) + (b * 0.114)) + return (score > threshold) ? dark : light + } + + assembleToolbox () { + this.createToolbox() + + // Build draw, erase, clear buttons + this.drawBtn = this.createButton('draw', 'draw', 'Start Drawing (S)') + this.eraseBtn = this.createButton('erase', 'eraser', 'Erase Lines') + this.clearBtn = this.createButton('clear', 'trash', 'Clear This Slide') + + this.colorPicker = this.createColorPicker() + this.colorPicker.addEventListener('input', () => { + this.currColor = this.colorPicker.value + if (this.drawMode) { + this.currFabric.freeDrawingBrush.color = this.currColor + } + this.setPenColorCSSVariables(this.currColor) + }) + + ;[this.drawBtn, this.eraseBtn, this.clearBtn, this.colorPicker] + .forEach((btn) => { + this.toolBox.appendChild(btn) + }) + + ;['click', 'touchend'].forEach((action) => { + this.toolBox.addEventListener(action, ev => ev.stopPropagation()) + }) + } + + noScribble () { + return this.getVisibleSlide() + .querySelector('.remark-slide-content') + .classList.contains('no-scribble') + } + + addToolboxToSlide () { + if (this.noScribble()) return + + const canvasDiv = this.getVisibleSlideOuterContainer() + canvasDiv.appendChild(this.toolBox) + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + } + } + + addToggleToolbox () { + const self = this + + document.addEventListener('keydown', (ev) => { + if (ev.keyCode === this.launchKey) { + self.toggleToolbox() + } + }) + + this.toolBox.addEventListener('mouseleave', function (ev) { + if (self.drawMode | self.eraseMode) { + return + } + self.minimizeTimeout = setTimeout(() => self.toggleToolbox(false), 2000) + }) + + this.toolBox.addEventListener('mouseenter', function (ev) { + if (self.minimizeTimeout) { + clearTimeout(self.minimizeTimeout) + } + }) + } + + toggleToolbox (show) { + if (this.noScribble()) return + + const isMinimized = this.toolBox.matches('.minimized') + if (typeof show !== 'undefined' && show === !isMinimized) return + + this.hideToolbox = !(show || isMinimized) + this.toolBox.classList.toggle('minimized') + + if (this.hideToolbox) { + this.toolBox.classList.add('minimized') + if (this.drawMode) { + this.drawBtn.click() + } else if (this.eraseMode) { + this.eraseBtn.click() + } + } else { + this.toolBox.classList.remove('minimized') + clearTimeout(this.minimizeTimeout) + this.minimizeTimeout = null + if (!this.drawMode) this.drawBtn.click() + } + } + + addCanvasHelpText () { + const helpTable = document.querySelector( + '.remark-help-content table.light-keys' + ) + if (!helpTable) { + console.error( + 'Could not find remark help table, has remark been initialized?' + ) + return + } + const newRow = document.createElement('tr') + newRow.innerHTML += 's' + newRow.innerHTML += 'Toggle scribble toolbox' + helpTable.append(newRow) + } + + mousedown () { + this.mouseDown = true + } + + mouseup () { + this.mouseDown = false + } + + getCanvasPaths () { + return this.currFabric.getObjects('path') + } + + addDrawing () { + const self = this + ;['click', 'touchend'].forEach((gesture) => { + this.drawBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + if (self.drawMode) { + self.stopDrawing() + } else { + self.startDrawing() + } + }) + }) + } + + setPresetColor (ev) { + let idx = Number(ev.key) + if (isNaN(idx) || typeof idx === 'undefined' || idx >= 10) return + idx = idx === 0 ? 10 : idx + const presetColor = this.opts.palette[idx - 1] + this.currColor = presetColor + this.currFabric.freeDrawingBrush.color = presetColor + this.setPenColorCSSVariables(presetColor) + this.colorPicker.value = presetColor + } + + startDrawing () { + if (this.noScribble()) return + + slideshow.pause() + this.toggleToolbox(true) + + this.drawMode = true + this.eraseMode = false + this.drawBtn.title = 'Stop Drawing (S)' + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.penSize + this.currFabric.freeDrawingBrush.color = this.currColor + this.currFabric.freeDrawingCursor = 'crosshair' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'draw') + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + document.addEventListener('keydown', this.setPresetColor) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + this.eraserCursor.classList.add('hidden') + this.drawBtn.classList.add('active') + this.eraseBtn.classList.remove('active') + } + + stopDrawing () { + slideshow.resume() + + this.drawMode = false + this.eraseMode = false + this.drawBtn.title = 'Start Drawing (S)' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'draw') + }) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + document.removeEventListener('keydown', this.setPresetColor) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + } + + addClearing () { + ;['click', 'touchend'].forEach((gesture) => { + this.clearBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.clearCurrentCanvas() + }) + }) + } + + clearCurrentCanvas () { + this.currFabric.forEachObject((obj) => { + this.currFabric.remove(obj) + }) + } + + addErasing () { + ;['click', 'touchend'].forEach((gesture) => { + this.eraseBtn.addEventListener(gesture, (ev) => { + ev.preventDefault() + ev.stopPropagation() + this.eraseMode ? this.stopErasing() : this.startErasing() + }) + }) + } + + eraserColor () { + const slide = this.getVisibleSlide().querySelector('.remark-slide-content') + const slideBgColor = window + .getComputedStyle(slide) + .getPropertyValue('background-color') + + return this.pickContrastForegroundColor( + slideBgColor, + 'rgba(255, 255, 255, 0.33)', + 'rgba(0, 0, 0, 0.33)' + ) + } + + startErasing () { + slideshow.pause() + + this.eraseMode = true + this.drawMode = false + this.eraseBtn.title = 'Stop Erasing' + this.eraserCursor.style.backgroundColor = this.eraserColor() + this.colorPicker.classList.add('hidden') + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.addEventListener('mousemove', this.eraserDetectErase) + outerDiv.addEventListener('touchmove', this.eraserDetectErase) + + document.addEventListener('mousemove', this.eraserCursorMovement) + document.addEventListener('touchmove', this.eraserCursorMovement) + + const self = this + ;['mousemove', 'touchmove'].forEach(function (action) { + document.addEventListener(action, function (ev) { + self.eraserCursor.classList.remove('hidden') + }, { once: true }) + }) + + document.addEventListener('keydown', this.undo) + document.addEventListener('keydown', this.redo) + + this.currFabric.isDrawingMode = true + this.currFabric.freeDrawingBrush.width = this.tolerance + this.currFabric.freeDrawingBrush.color = this.transparent + this.currFabric.freeDrawingCursor = 'none' + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.add('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.add('active') + } + + stopErasing () { + this.drawMode = false + this.eraseMode = false + this.eraserCursor.classList.add('hidden') + this.eraseBtn.title = 'Erase Lines' + + const outerDiv = this.getVisibleSlideOuterContainer() + outerDiv.removeEventListener('mousemove', this.eraserDetectErase) + outerDiv.removeEventListener('touchmove', this.eraserDetectErase) + + document.removeEventListener('mousemove', this.eraserCursorMovement) + document.removeEventListener('touchmove', this.eraserCursorMovement) + + document.removeEventListener('keydown', this.undo) + document.removeEventListener('keydown', this.redo) + + const drawingCanvas = this.getVisibleSlideCanvasContainers() + drawingCanvas.forEach((container) => { + container.classList.remove('active', 'erase') + }) + + this.drawBtn.classList.remove('active') + this.eraseBtn.classList.remove('active') + + slideshow.resume() + } + + eraserDetectErase (ev) { + if (this.mouseDown & this.eraseMode) { + const xy = [ + this.currFabric.getPointer(ev).x, + this.currFabric.getPointer(ev).y + ] + const objs = this.getCanvasPaths() + const paths = objs.map((path) => { + return path.path + }) + + const shouldRemove = paths.map((path) => { + const toRemove = path.some((point) => { + const xcond = Math.abs(point[1] - xy[0]) < this.tolerance + const ycond = Math.abs(point[2] - xy[1]) < this.tolerance + const both = xcond & ycond + return both + }) + return toRemove + }) + + const pathCache = this.pathCache + const currFabric = this.currFabric + + objs.map(function (item, index) { + if (shouldRemove[index]) { + pathCache.push(item) + currFabric.remove(item) + } + }) + } + } + + removeTransparentEraserPaths () { + this.currFabric.forEachObject((obj) => { + if (obj.stroke === this.transparent) { + this.currFabric.remove(obj) + } + }) + } + + initEraserCursor () { + const slideArea = document.querySelector('.remark-slides-area') + this.eraserCursor = document.createElement('div') + this.eraserCursor.classList.add('xe-scribble__cursor__eraser', 'hidden') + this.eraserCursor.style.width = this.eraserSize + 'px' + this.eraserCursor.style.height = this.eraserSize + 'px' + + slideArea.appendChild(this.eraserCursor) + } + + eraserCursorMovement (ev) { + var pX + var pY + if (ev.type === 'mousemove') { + pX = ev.pageX + pY = ev.pageY + } else if (ev.type === 'touchmove') { + pX = ev.touches[0].pageX + pY = ev.touches[0].pageY + } + this.eraserCursor.style.top = pY - this.tolerance + 'px' + this.eraserCursor.style.left = pX - this.tolerance + 'px' + } + + undo (ev) { + if (ev.keyCode === 37) { + this.removeTransparentEraserPaths() + + if (this.currFabric._objects.length === 0) return + + const removedPath = this.currFabric._objects.pop() + this.pathCache.push(removedPath) + this.currFabric.renderAll() + } + } + + redo (ev) { + if (ev.keyCode === 39) { + this.removeTransparentEraserPaths() + + if (this.pathCache.length === 0) return + + const addedPath = this.pathCache.pop() + this.currFabric._objects.push(addedPath) + this.currFabric.renderAll() + } + } +} + +Scribble.prototype.svgs = { + // https://phosphoricons.com/ + draw: + '', + eraser: + '', + trash: + '' +} + +Scribble.prototype.defaultPresetColors = [ + '#e51c23', // red (1) + '#259b24', // green (2) + '#9c27b0', // purple (3) + '#5677fc', // blue (4) + '#ff9800', // orange (5) + '#00bcd4', // cyan (6) + '#ffc107', // yellow (7) + '#009688', // teal (8) + '#9e9e9e', // grey (9) + '#212121' // black (0) +] diff --git a/slides/libs/xaringanExtra-search-0.0.1/search.css b/slides/libs/xaringanExtra-search-0.0.1/search.css new file mode 100644 index 00000000..4a3fa77c --- /dev/null +++ b/slides/libs/xaringanExtra-search-0.0.1/search.css @@ -0,0 +1,74 @@ +:root { + --search-icon-fill: rgba(128, 128, 128, 0.5); + --search-input-background: rgb(204, 204, 204); + --search-input-foreground: black; + --search-match-background: rgba(255, 196, 136, 0.75); + --search-input-border: 1px solid rgb(249, 38, 114); + --search-match-foreground: black; + --search-match-current-background: rgba(255, 136, 255, 0.75); + --search-match-current-foreground: black; +} + +div.search { + position: absolute; + top: 1em; +} + +div.search form { + display: none; + animation: fadeIn 250ms ease-out 1; +} + +div.search.search-input-visible form { + display: inline-block; +} + +div.search form input { + background-color: var(--search-input-background); + color: var(--search-input-foreground); + + border: var(--search-input-border); + padding: 3px; + width: 10em; +} + +div.search a { + padding: 0 0.5em; +} + +div.search #search-open { + cursor: pointer; + display: none; + animation: fadeIn 250ms ease-out 1; +} + +@keyframes fadeIn { + 0% { opacity: 0 } + 100% { opacity: 1 } +} + +div.search.search-icon-visible #search-open { + display: inline-block; +} + +div.search #search-open svg { + fill: var(--search-icon-fill); + vertical-align: bottom; + margin-bottom: -4px; +} + +div.search #search-next{ + display: none; +} + +span.match.current-match { + background-color: var(--search-match-current-background); + color: var(--search-match-current-foreground); +} + +span.match { + padding: 1px; + background-color: var(--search-match-background); + color: var(--search-match-foreground); + transition: background-color 200ms ease-in-out, color 200ms ease-in-out; +} diff --git a/slides/libs/xaringanExtra-search-0.0.1/search.js b/slides/libs/xaringanExtra-search-0.0.1/search.js new file mode 100644 index 00000000..554c4016 --- /dev/null +++ b/slides/libs/xaringanExtra-search-0.0.1/search.js @@ -0,0 +1,227 @@ +class RemarkSearch { + constructor (options) { + this.matches = [] + this.currentMatch = -1 + + if (options == null) options = {} + if (options.position == null) options.position = 'bottom-left' + if (options.caseSensitive == null) options.caseSensitive = false + if (options.showIcon == null) options.showIcon = true + if (options.autoSearch == null) options.autoSearch = true + + this.options = options + + this.searchSvg = '' + + this.div = document.createElement('div') + this.div.classList.add('search') + this.div.style.zIndex = '9999' + if (this.options.position.includes('left')) { this.div.innerHTML = '' + this.searchSvg + '
    ' } else { this.div.innerHTML = '
    ' + this.searchSvg + '' } + + const area = document.querySelector('.remark-slides-area') + area.insertBefore(this.div, area.firstchild) + + this.setUpKeyListener() + this.setUpForm() + this.setUpIcons() + // wait for element to exist because position might depend on its height + setTimeout(() => this.setUpPosition(), 10) + } + + static create (options) { + return new RemarkSearch(options) + } + + setUpPosition () { + const self = this + window.addEventListener('resize', function () { + self.updatePosition() + }) + this.updatePosition() + } + + updatePosition () { + const scaler = document.querySelector('.remark-visible .remark-slide-scaler') + const vertical = (document.body.clientHeight - scaler.getBoundingClientRect().height) / 2 + 20 + const horizontal = (document.body.clientWidth - scaler.getBoundingClientRect().width) / 2 + 20 + + if (this.options.position.includes('top')) { this.div.style.top = vertical + 'px' } else { this.div.style.top = (document.body.clientHeight - vertical - this.div.getBoundingClientRect().height) + 'px' } + + if (this.options.position.includes('right')) { this.div.style.right = horizontal + 'px' } else { this.div.style.left = horizontal + 'px' } + } + + setUpIcons () { + const self = this + + this.div.querySelector('#search-open').addEventListener('click', function (event) { + self.toggleSearch() + }) + + if (this.options.showIcon) { this.div.classList.add('search-icon-visible') } + } + + setUpKeyListener () { + const self = this + document.addEventListener('keydown', function (event) { + if (event.ctrlKey && event.key == 'f') { + event.preventDefault() + self.openSearch() + return false + } + + if (event.key == 'F3' || (event.ctrlKey && event.key.toLowerCase() == 'g')) { + if (self.matches.length == 0) { + return self.doSearch(event) + } else { + if (event.shiftKey) { return self.showMatch(event, -1) } else { return self.showMatch(event, 1) } + } + } + }) + + const input = this.div.querySelector('form input') + input.addEventListener('keydown', function (event) { + if (!event.ctrlKey) { + event.stopPropagation() + } + + if (event.keyCode == 27) { + self.closeSearch() + } + }) + } + + setUpForm () { + var self = this + + const form = this.div.querySelector('form') + form.addEventListener('submit', function (event) { + if (self.matches.length == 0) { + return self.doSearch(event) + } else { + return self.showMatch(event, 1) + } + }) + this.setUpInput() + } + + setUpInput () { + const self = this + const input = this.div.querySelector('form input') + input.addEventListener('focus', function (event) { + slideshow.pause() + }) + input.addEventListener('blur', function (event) { + slideshow.resume() + }) + input.addEventListener('input', function (event) { + self.cleanSearch() + if (self.options.autoSearch) { self.doSearch() } + }) + } + + openSearch () { + const input = this.div.querySelector('form input') + + input.value = '' + this.cleanSearch() + this.div.classList.add('search-input-visible') + + input.focus() + + if (!this.options.showIcon) { + this.updatePosition() + this.div.classList.add('search-icon-visible') + } + } + + toggleSearch () { + if (this.div.matches('.search-input-visible')) { + this.closeSearch() + } else { + this.openSearch() + } + } + + closeSearch () { + const input = this.div.querySelector('form input') + + input.value = '' + input.blur() + this.div.classList.remove('search-input-visible') + + if (!this.options.showIcon) { + this.div.classList.remove('search-icon-visible') + } + + this.cleanSearch() + } + + cleanSearch () { + this.currentMatch = -1 + this.matches = [] + + var context = document.querySelectorAll('.remark-slide') + var instance = new Mark(context) + instance.unmark() + } + + doSearch (event) { + if (event != null) event.preventDefault() + + const self = this + + const term = this.div.querySelector('form input').value + + this.cleanSearch() + + var context = document.querySelectorAll('.remark-slide') + var instance = new Mark(context) + + instance.mark(term, { + element: 'span', + className: 'match', + caseSensitive: this.options.caseSensitive, + separateWordSearch: false, + each: function (match) { + self.matches.push(match) + }, + done: function () { + if (self.matches.length != 0) { self.showMatch(event, 1) } + } + }) + + return false + } + + showMatch (event, delta) { + if (event != null) event.preventDefault() + + if (this.matches.length == 0) { return this.doSearch(event) } + + const oldMatches = document.querySelectorAll('.current-match') + for (let i = 0; i < oldMatches.length; i++) { oldMatches[i].classList.remove('current-match') } + + this.currentMatch += delta + + let match = this.matches[this.currentMatch] + if (match == null) { + if (delta == -1) { this.currentMatch = this.matches.length } else { this.currentMatch = -1 } + return this.showMatch(event, delta) + } + match.classList.add('current-match') + + while (!match.classList.contains('remark-slide-container')) { + match = match.parentElement + }; + + let index = 1 + while (match.previousSibling != null) { + match = match.previousSibling + index++ + }; + + if (slideshow.getCurrentSlideIndex() + 1 != index) { slideshow.gotoSlide(index) } + + return false + } +} diff --git a/slides/macros.js b/slides/macros.js new file mode 100644 index 00000000..071125df --- /dev/null +++ b/slides/macros.js @@ -0,0 +1,4 @@ +remark.macros.scale = function (percentage) { + var url = this; + return ''; +}; diff --git a/syllabus.qmd b/syllabus.qmd index 7f5284de..e97c1e79 100644 --- a/syllabus.qmd +++ b/syllabus.qmd @@ -1,5 +1,6 @@ --- -title: Syllabus +title: Programa +lang: es --- ```{r setup, message=FALSE, warning=FALSE, include=FALSE} @@ -11,17 +12,16 @@ library(pander) ::: {.grid .course-details .course-details-smaller} ::: {.g-col-6} -### Instructor +### Profesor - {{< fa user >}}   [{{< var instructor.name >}}]({{< var instructor.url >}}) - {{< fa university >}}   {{< var instructor.office >}} -- {{< fa envelope >}}   {{< var instructor.email >}} -- {{< fa brands twitter >}}   [{{< var instructor.twitter >}}](https://www.twitter.com/{{< var instructor.twitter >}}) -- {{< fa calendar-check >}}   [Schedule an appointment]({{< var instructor.appointment_url >}}) +- {{< fa envelope >}}   {{< var instructor.email >}} +- {{< fa calendar-check >}}   [Agendar reunión]({{< var instructor.appointment_url >}}) ::: ::: {.g-col-6} -### Course details +### Detales del curso - {{< fa calendar >}}   {{< var course.days >}} - {{< fa calendar-alt >}}   {{< var course.dates >}} @@ -32,283 +32,185 @@ library(pander) ::: -## Course objectives +## Sobre el sentido general del curso -By the end of this course, you (1) will be literate in the language of causal inference, (2) will communicate evaluation outcomes clearly, and (3) will understand the ethics and limits of data analysis by designing, critiquing, coding, and running rigorous, valid, and feasible evaluations of public sector programs focused on society’s most pressing problems. +En este curso vamos a aprender tres cosas principales: -Specifically, you'll be able to: +- **inferencia**: los resultados que encontramos en nuestra muestra, ¿se encuentran también en la población de la cual proviene la muestra? -- Explain the philosophy of causation -- Identify and diagram program logic models -- Outline theories of change with directed acyclic graphs (DAGs) -- Summarize key threats to causal inference, identify these threats in evaluations, and mitigate these threats with research design -- Develop rigorous and valid statistical measures -- Run statistical models -- Explain the theory, research design, methods, and results of evaluations to all types of stakeholders, from highly trained econometricians to the general public -- Share your analyses and data with the public -- Identify ethical issues and limits in data science and program evaluation -- Become curious and confident in consuming and producing evaluations +- medidas de **asociación** entre variables: tamaño y significación estadística +- **reporte y reproducibilidad** de los análisis estadísticos: nuestros análisis se reflejan en productos como tablas y gráficos. No basta con entenderlos e interpretarlos, sino también es fundamental una buena comunicación. -## Course philosophy +## Propósito general del curso -Classical statistics classes spend substantial time covering probability theory, null hypothesis testing, and other statistical tests first developed hundreds of years ago. Some classes don't use software or actual real data and instead live in the world of mathematical proofs. They can be math-heavy and full of often unintuitive concepts and equations. +Al finalizar el curso los estudiantes conocerán los fundamentos del análisis estadístico inferencial. Se espera que los estudiantes sean capaces de: -In this class, we will take the opposite approach. We *begin* with data and learn how to tidy, wrangle, manipulate, and visualize it with code. Later in the semester we'll turn to the powerful toolbox of causal inference approaches, but continue to keep the focus on data as we do so. +- elaborar de manera pertinente hipótesis estadísticas +- aplicar estadísticos de asociación bivariada, a partir de los cuáles puedan desarrollar análisis de problemas sociales +- corroborar el cumplimiento de las condiciones de aplicación de cada estadístico +- utilizar software de análisis estadístico +- contrastar hipótesis de investigación +- elaborar conclusiones integrando fundamentos teóricos con herramientas de análisis estadístico de resultados. -In other words, there's way less of this: +Complementariamente se espera que los estudiantes adquieran herramientas que les permitan comunicar resultados de investigación en contextos sociales, profesionales y académicos. -$$ -f(x) = \dfrac{1}{\sqrt{2\pi}} e^{-\frac12 x^2} -$$ +## Competencias -And way more of this: - -```{r eval=FALSE} -summary_monthly_temp <- weather %>% - group_by(month) %>% - summarize(mean = mean(temp), - std_dev = sd(temp)) -``` - -Over the last decade there has been a revolution in statistical and scientific computing. Open source languages like R and Python have overtaken older (and expensive!) corporate software packages like SAS and SPSS, and there are now thousands of books and blog posts and other online resources with excellent tutorials about how to analyze pretty much any kind of data. - -This class will expose you to [R](https://cran.r-project.org/)—one of the most popular, sought-after, and in-demand statistical programming languages. Armed with the foundation of R skills you'll learn in this class, you'll know enough to be able to find how to analyze any sort of data-based question in the future. - -## Important pep talk! - -I *promise* you can succeed in this class. - -Learning R can be difficult at first—it's like learning a new language, just like Spanish, French, or Chinese. Hadley Wickham—the chief data scientist at RStudio and the author of some amazing R packages you'll be using like `ggplot2`—[made this wise observation](https://r-posts.com/advice-to-young-and-old-programmers-a-conversation-with-hadley-wickham/): - -> It’s easy when you start out programming to get really frustrated and think, “Oh it’s me, I’m really stupid,” or, “I’m not made out to program.” But, that is absolutely not the case. Everyone gets frustrated. I still get frustrated occasionally when writing R code. It’s just a natural part of programming. So, it happens to everyone and gets less and less over time. Don’t blame yourself. Just take a break, do something fun, and then come back and try again later. - -Even experienced programmers and evaluators find themselves bashing their heads against seemingly intractable errors. If you're finding yourself taking way too long hitting your head against a wall and not understanding, take a break, talk to classmates, e-mail me, etc. - -```{r echo=FALSE, out.width="80%", fig.align="center"} -# https://twitter.com/allison_horst/status/1213275783675822080 -knitr::include_graphics("/files/img/syllabus/hosrt_error_tweet.png", error = FALSE) -``` - -[![Alison Horst: Gator error](/files/img/syllabus/gator_error.jpg)](https://twitter.com/allison_horst/status/1213275783675822080) - - -## Course materials - -Most of the readings in this class are free. - -### Books - -There are two official textbooks for the class. Both are available digitally and both are free. - -- Paul J. Gertler et al., *Impact Evaluation in Practice*, 2nd ed. (Inter-American Development Bank; World Bank, 2016), . ([**Free!**](https://openknowledge.worldbank.org/handle/10986/25030)) -- Nick Huntington-Klein, *The Effect: An Introduction to Research Design and Causality* (CRC Press, 2021), . ([**Free as a HTML version!**](https://theeffectbook.net/) The print version is coming soon and is pre-orderable at Amazon.) - -Both of these books are written at a more general, easy-to-understand level with relatively minimal math. *You do not need to understand all the equations and notation.* If your eyes start to gloss over the Greek letters and subscripts, it's okay. Try to learn them, but don't stress out about it too much. - -In previous versions of this class I used two different books instead of *The Effect*, and they're still fantastic and I'd recommend checking them out. *The Mixtape* is a phenomenal, more detailed, more economics-focused, and mathier approach to these causal inference methods (and it's free!), while *'Metrics Matter* is a fairly canonical (and accessible!) book in the world of econometrics. I refer to these books a few times in the video lectures—don't worry, you'll get pretty much the same content in *The Effect*. - -- Scott Cunningham, *Causal Inference: The Mixtape* (New Haven, CT: Yale University Press, 2021), . ([**Also free(!)**](https://mixtape.scunning.com/), but there's also a print version for $35 that you might want to get for reference after the class is over) -- Joshua D. Angrist and Jörn-Steffen Pischke, Mastering ’Metrics: The Path from Cause to Effect (Princeton, NJ: Princeton University Press, 2015). (**$25 used or $30 new at [Amazon](https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845/)**) +1a. Delimitar, conceptualizar y analizar diversos objetos de investigación social, con especial énfasis en aquellos relacionados con los procesos de transformación del país y Latinoamérica +1b. Manejar diversas estrategias metodológicas de las ciencias sociales -### Articles, book chapters, and other materials +1c. Manejar un conjunto de herramientas para el procesamiento y análisis de información + +1d. Transmitir los conocimientos derivados de la práctica investigativa, así como aquellos adquiridos durante el proceso formativo. -There will also occasionally be additional articles and videos to read and watch. When this happens, links to these other resources will be included on the reading page for that week. +## Subcompetencias -### R and RStudio +- 1.4 Contribuir a generar conocimiento sociológico en el marco de estudios y/o procesos de investigación donde se articulen creativamente las dimensiones teórica, metodológica y práctica. -You will do all of your analysis with the open source (and free!) programming language [R](https://cran.r-project.org/). You will use [RStudio](https://www.rstudio.com/) as the main program to access R. Think of R as an engine and RStudio as a car dashboard—R handles all the calculations and the actual statistics, while RStudio provides a nice interface for running R code. +- 1.5 Comunicar los saberes disciplinares de manera pertinente a las características de distintos contextos y audiencias, utilizando diversas estrategias y formatos. -R is free, but it can sometimes be a pain to install and configure. To make life easier, you can (and should!) use the free [RStudio.cloud](http://rstudio.cloud/) service, which lets you run a full instance of RStudio in your web browser. This means you won't have to install anything on your computer to get started with R! We will have a shared class workspace in RStudio.cloud that will let you quickly copy templates for labs and problem sets. +## Resultados del aprendizaje -RStudio.cloud is convenient, but it can be slow and it is not designed to be able to handle larger datasets or more complicated analysis. Over the course of the semester, you'll probably want to get around to installing R, RStudio, and other R packages on your computer and wean yourself off of RStudio.cloud. This isn't necessary, but it's helpful. +1. Comprende, domina y es capaz de explicar los elementos conceptuales subyacentes a la determinación de la asociación poblacional entre dos variables a partir del análisis de una muestra, y es capaz de traducir hipótesis derivadas de la teoría sociológica en hipótesis estadísticas posibles de contrastar empíricamente con los datos. + +2. Es capaz de seleccionar y usar herramientas estadísticas adecuadas para evaluar la asociación entre dos variables considerando las características de los datos y las condiciones de aplicación de cada técnica. + +3. Logra interpretar desde un punto de vista estadístico y sociológico los resultados derivados de pruebas estadísticas para analizar la relación entre dos variables. + +4. Es capaz de reportar y comunicar adecuada y eficientemente los resultados de los análisis estadísticos -You can [find instructions for installing R, RStudio, and all the tidyverse packages here.](/resource/install/) +## Saberes / Contenidos -### Online help +### Unidad I: Inferencia -Data science and statistical programming can be difficult. Computers are stupid and little errors in your code can cause hours of headache (even if you've been doing this stuff for years!). +- Datos, variables y probabilidad -Fortunately there are tons of online resources to help you with this. Two of the most important are [StackOverflow](https://stackoverflow.com/) (a Q&A site with hundreds of thousands of answers to all sorts of programming questions) and [RStudio Community](https://community.rstudio.com/) (a forum specifically designed for people using RStudio and the tidyverse (i.e. you)). +- Curva normal y error estándar -If you use Twitter, post R-related questions and content with [#rstats](https://twitter.com/search?q=%23rstats). The community there is exceptionally generous and helpful. +- Intervalos de confianza -Searching for help with R on Google can sometimes be tricky because the program name is, um, a single letter. Google is generally smart enough to figure out what you mean when you search for "r scatterplot", but if it does struggle, try searching for "rstats" instead (e.g. "rstats scatterplot"). +- Test de hipótesis -Additionally, we have a class chatroom at [Slack](https://gsuevalf2021.slack.com) where anyone in the class can ask questions and anyone can answer. **I will monitor Slack regularly and will respond quickly.** (It's one of the rare Slack workspaces where I actually have notifications enabled!) Ask questions about the readings, assignments, and project. You'll likely have similar questions as your peers, and you'll likely be able to answer other peoples' questions too. +- Hipótesis no direccionales y para proporciones -## Course structure +### Unidad II: Asociación -We meet weekly from 7:15–9:45 PM on Thursdays in 204 Aderhold. ***However***, despite policies and rhetoric to the contrary, we're still in the middle of a severe global pandemic, and the BA.5 variant of COVID-19 is raging. +- Asociación y covarianza -Accordingly, this semester we're going to have a [flipped classroom](https://en.wikipedia.org/wiki/Flipped_classroom), which will let us maximize flexibility during this pandemic. +- Correlación de Pearson -We will **not** have lectures during our regularly scheduled class time. Instead, you will do the readings and watch recorded lecture videos prior to each in-person class session. You can do the readings and watch the videos on your own schedule at whatever time works best for you. Many of you work full time and you have childcare and parental care responsibilities, leaving you with only evenings for coursework. I've designed this asynchronous system with *you specifically* in mind. I also can only really do teaching work at night when my kids are in bed—I recorded all these videos between like 10 PM and 2 AM. We're all in similar pandemic boats. +- Correlación con variables ordinales -We will do several things during our Thursday in-person classes: +- Matrices y tamaños de efecto en correlación -- **Extensive Q&A**: As you do the readings and watch the videos prior to class, you will inevitably have questions. In [your weekly check-in assignment](/assignment/weekly-check-in.qmd), you'll submit (at least) 3 of those questions to me prior to class. We'll spend a good chunk of each class answering, clarifying, debating, and discussing your questions. -- **Activities**: In some weeks, we'll do some in-class activities to help solidify concepts about logic models, DAGs, and other evaluation and causal inference principles. -- **R labs**: We'll spend a substantial time during each class learning and working with R together. You'll need to bring a computer. +- Asociación con variables categóricas -## Attendance and participation +### Unidad III: Reporte -You're expected to come to class each Thursday prepared—having read the material and watched the videos—and ready to discuss the content and work with R. +- Responder problemas de investigación de lógica bivariada con datos reales +- Escritura de reportes de investigación +- Visualización de datos +- Presentación de resultados -Attendance and participation are important to your success in this course. However, again, we're still in the middle of a global pandemic. If you are sick or are incapable of participating meaningfully in class (e.g. you have stayed up all night and are going to fall asleep in class), please stay home. I will stream our in-person sessions on Thursdays via Webex (and will set up my own camera and microphone system to do it), so if you cannot attend, you can tune in if needed. +## Metodología -GSU has some new process for getting absences excused because of illness, but I don't care about that process. If you're sick, I don't need a doctor's note or anything. If a relative dies and you have to attend a funeral, do it!—don't worry about sending me confirmation or anything. If your childcare situation falls through one week, focus on your kids!—again, don't worry about sending me confirmation. You're all adults—I trust you. Given the flipped nature of the course, you'll be able to catch up on the material. +1. Sesiones de **clases lectivas** presenciales semanales, donde se presentarán los aspectos centrales de los contenidos correspondientes a la semana. -If you test positive for COVID-19, report it at , hunker down, and focus on getting better! Please do not come to class. +2. **Prácticos**: los temas del curso se acompañan de guías prácticas de aplicación de contenidos. Estas guías están diseñadas para ser desarrolladas de manera autónoma, y también habrá espacio de revisión y consultas en el espacio de clases. -## Pandemic stuff +3. **Trabajos**: se desarrollarán trabajos de investigación que permitirán a l_s participantes aplicar contenidos y recibir retroalimentación de su desempeño. Los trabajos serán asesorados por ayudantes que se asignarán a cada grupo. -### Masks and vaccines +El semestre comienza con clases lectivas, y posteriormente se integran elementos prácticos y de aplicación. -GSU does not require this and I can't require this but I am allowed to urge it so here's me urging it:
    Please get the COVID-19 vaccination and a booster shot ([sign up for one here!](https://covidinfo.gsu.edu/covid-19-resources/covid-19-vaccine/)). It is free. It saves lives. (I am fully vaccinated and boosted.) +- Las clases en general se acompañan de documentos de presentación, que estarán disponibles antes de la sesión en la página de Clases, y están desarrollados con base en Rmarkdown/Xaringan. Estos documentos no son: -GSU and the University System of Georgia do not have a mask mandate for students or faculty. However, I personally will be wearing a mask when [the CDC's community transmission levels](https://covid.cdc.gov/covid-data-tracker/#county-view?list_select_state=Georgia&data-type=Risk&list_select_county=13121) in the Atlanta area are medium or above. + - “la clase” + - autoexplicativos (ni aspiran a serlo) + - “el ppt” (ni menos “la ppt”) -**I strongly recommend/urge/encourage you to wear a mask in class on Thursdays** regardless of your vaccination status. I will place a box of disposable masks by the door if you would like one. +## Evaluación -Again, GSU does not require either vaccines or masks, and if you aren't vaccinated or don't wear a mask, there are no penalties. +El curso tendrá tres instancias de evaluación: -### Learning during a pandemic +- Evaluación 1: Inferencia (35% = 30% teórico + 5% práctico). +- Evaluación 2: Asociación (35% = 30% teórico + 5% práctico) +- Evaluación 3: Reporte de aplicación - trabajo grupal (30%= 20% reporte escrito + 10% poster) -Life absolutely sucks right now. None of us is really okay. **We're all just pretending.** -You most likely know people who have lost their jobs, have tested positive for COVID-19, have been hospitalized, or have even died (I myself know people in all those categories). You all have increased (or possibly decreased) work responsibilities and increased family care responsibilities—you might be caring for extra people (young and/or old!) right now, and you are likely facing uncertain job prospects (or have been laid off!). -**I'm fully committed to making sure that you learn everything you were hoping to learn from this class!** I will make whatever accommodations I can to help you finish your problem sets, do well on your projects, and learn and understand the class material. Under ordinary conditions, I am flexible and lenient with grading and course expectations when students face difficult challenges. Under pandemic conditions, that flexibility and leniency is intensified. +La nota ponderada de las evaluaciones equivaldrá al 60% de la nota del curso y el examen final al 40% restante. -If you tell me you're having trouble, I will not judge you or think less of you. I hope you'll extend me the same grace. +Las evaluaciones se distribuyen en el semestre de la siguiente manera: -You *never* owe me personal information about your health (mental or physical). You are *always* welcome to talk to me about things that you're going through, though. If I can't help you, I usually know somebody who can. +![](/slides/img/plan.png) -If you need extra help, or if you need more time with something, or if you feel like you're behind or not understanding everything, **do not suffer in silence!** Talk to me! I will work with you. **I promise.** +::: {.callout-note appearance="simple"} -*Please* sign up for a time to meet with me during student hours at . I'm also available through e-mail and Slack. I've enabled notifications on my Slack account, so I'll see your messages quickly! +## ATENCIÓN -I want you to learn lots of things from this class, but I primarily want you to stay healthy, balanced, and grounded during this crisis. +**Las fechas de evaluación no se cambian** por respeto a la planificación de los tiempos de tod_s quienes participan en el curso y el cumplimiento apropiado de los objetivos de aprendizaje. +::: -## Course policies - -**Be nice. Be honest. Don't cheat.** - -We will also follow [Georgia State's Code of Conduct](https://codeofconduct.gsu.edu/). - -This syllabus reflects a plan for the semester. Deviations may become necessary as the semester progresses. - -### Student hours - -Please watch this video: - - - -Student hours are set times dedicated to all of you (most professors call these "office hours"; I don't).[^studenthours] This means that I will be ~~in my office~~ at home (wistfully) waiting for you to ~~come by~~ talk to me remotely with whatever questions you have. This is the best and easiest way to find me and the best chance for discussing class material and concerns. - -[^studenthours]: There's fairly widespread misunderstanding about what office hours actually are! [Many students often think that they are the times I *shouldn't* be disturbed](https://www.chronicle.com/article/Can-This-Man-Change-How-Elite/245714/), which is the exact opposite of what they're for! - -Because of the pandemic, it is easiest to meet with me online via Webex for student hours. [Make an appointment with me here](https://calendly.com/andrewheiss/)—the confirmation e-mail will contain a link for a Webex meeting. You can also find me through e-mail and Slack. - -### Late work - -You will lose 1 point per day for each day a problem set is late. This is designed to not be a huge penalty (3 days late = 27/30 points on a problem set that gets a ✓), but instead is a commitment device to help you stay on schedule. - -### Counseling and Psychological Services (CPS) - -Life at GSU can be complicated and challenging (especially during a pandemic!). You might feel overwhelmed, experience anxiety or depression, or struggle with relationships or family responsibilities. [Counseling and Psychological Services (CPS)](https://education.gsu.edu/cps/) provides free, *confidential* support for students who are struggling with mental health and emotional challenges. The CPS office is staffed by professional psychologists who are attuned to the needs of all types of college and professional students. Please do not hesitate to contact CPS for assistance—getting help is a smart and courageous thing to do. - -### Basic needs security - -If you have difficulty affording groceries or accessing sufficient food to eat every day, or if you lack a safe and stable place to live, and you believe this may affect your performance in this course, please contact the [Dean of Students](https://deanofstudents.gsu.edu/) for support. They can provide a host of services including free groceries from the [Panther Pantry](https://nutrition.gsu.edu/panther-pantry/) and assisting with homelessness with the [Embark Network](https://deanofstudents.gsu.edu/student-assistance/embark/). Additionally, please talk to me if you are comfortable in doing so. This will enable me to provide any resources that I might possess. - -### Lauren's Promise -**I will listen and believe you if someone is threatening you.** +## Inasistencias y atraso en entregas -Lauren McCluskey, a 21-year-old honors student athlete, [was murdered on October 22, 2018 by a man she briefly dated on the University of Utah campus](https://www.sltrib.com/opinion/commentary/2019/02/10/commentary-failing-lauren/). We must all take action to ensure that this never happens again. +Los justificativos por ausencia o atraso se realizan en la secretaría de carrera. Lo que la carrera informe como justificado, es lo que se va a considerar en el curso. **No enviar justificativos a equipo docente y a ayudantes directamente**, no es necesario ni apropiado para l_s estudiantes tener que exponer situaciones personales. -If you are in immediate danger, call 911 or GSU police (404-413-3333). +En caso de faltar a alguna de las evaluaciones existirá una única fecha para evaluaciones recuperativas. Si en esa fecha no es posible asistir por motivos justificados, entonces pasará directo a examen. -If you are experiencing sexual assault, domestic violence, or stalking, please report it to me and I will connect you to resources or call [GSU's Counseling and Psychological Services](https://counselingcenter.gsu.edu/crisis-services/concern-self/immediate-help/) (404-413-1640). +En el caso de los trabajos, en caso de atraso se descontará 0.5 por día adicional. Si el trabajo no se entrega luego del tercer día de atraso será calificado con nota 1.0 -Any form of sexual harassment or violence will not be excused or tolerated at Georgia State. GSU has instituted procedures to respond to violations of these laws and standards, programs aimed at the prevention of such conduct, and intervention on behalf of the victims. Georgia State University Police officers will treat victims of sexual assault, domestic violence, and stalking with respect and dignity. Advocates on campus and in the community can help with victims' physical and emotional health, reporting options, and academic concerns. +## Requisitos de aprobación -### Academic honesty +Requisitos de eximición a examen: -Violation of [GSU's Policy on Academic Honesty](https://deanofstudents.gsu.edu/faculty-staff-resources/academic-honesty/) will result in an F in the course and possible disciplinary action.[^cheat] All violations will be formally reported to the Dean of Students. +- contar con un promedio ponderado igual o superior a 5.5 +- no tener nota bajo 4.0 en ninguna de las evaluaciones -[^cheat]: So seriously, just don't cheat or plagiarize! +Requisitos para presentación a examen: -### Special needs +- Podrán presentarse al examen de primera oportunidad los estudiantes que hayan obtenido una calificación final igual o superior a 3.5. -Students who wish to request accommodation for a disability may do so by registering with the [Office of Disability Services](https://disability.gsu.edu/). Students may only be accommodated upon issuance by the Office of Disability Services of a signed [Accommodation Plan](https://disability.gsu.edu/services/how-to-register/) and are responsible for providing a copy of that plan to instructors of all classes in which accommodations are sought. +- El examen de segunda oportunidad será para aquellos estudiantes que presenten una nota igual o inferior a 3.5 o aquellos que en el examen de primera oportunidad no hubiesen logrado una nota igual o superior a 4.0. -Students with special needs should then make an appointment with me during the first week of class to discuss any accommodations that need to be made. +## Bibliografía Obligatoria +Capítulos correspondientes a cada sesión de los siguientes textos principales: -## Assignments and grades +- Ritchey, F. (2008) Estadística para las ciencias sociales. McGraw-Hill: México. +- Moore (2010) Estadística aplicada básica. Barcelona: Antoni Bosch. +- Pardo, Ruiz y San Martín (2015). Análisis de Datos en Ciencias Sociales y de la Salud I. Editorial Síntesis: Madrid. -You can find descriptions for all the assignments on the [assignments page](/assignment/). +## Bibliografía Complementaria -```{r assignments-grades, include=FALSE} -assignments <- tribble( - ~Points, ~Assignment, - 14 * 10, "Weekly check-ins (14 × 10)", - 9 * 30, "Problem sets (9 × 30)", - 4 * 30, "Evaluation assignments (4 × 30)", - 100, "Exam 1", - 100, "Exam 2", - 200, "Final project" -) %>% - mutate(Percent = Points / sum(Points), - Percent = scales::percent(Percent)) +Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data (First edition). Sebastopol: O’Reilly. -grading <- tribble( - ~Grade, ~Range, ~Grade1, ~Range1, - "A", "93–100%", "C", "73–76%", - "A−", "90–92%", "C−", "70–72%", - "B+", "87–89%", "D+", "67–69%", - "B", "83–86%", "D", "63–66%", - "B−", "80–82%", "D−", "60–62%", - "C+", "77–79%", "F", "< 60%" -) -``` +Field, A., Milles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage. -
    +Salkind, N. J. (Ed.). (2010). Encyclopedia of research design (Vol. 1). Sage. -```{r show-assignments-table, echo=FALSE, results="asis"} -assignments_total <- tibble(Assignment = "Total", - Points = sum(assignments$Points), - Percent = NA) +Levin, J. & Levin, W. (1997). Fundamentos de Estadística en la Investigación Social (Vol.2). Oxford University Press. -bind_rows(assignments, assignments_total) %>% - select(Assignment, Points, Percent) %>% - pandoc.table(justify = "lcc", missing = "—") -``` -
    -
    - -```{r show-grades-table, echo=FALSE, results="asis"} -grading %>% - pandoc.table(justify = "lclc", - col.names = c("Grade", "Range", "Grade", "Range")) -``` +## Sobre participación y comunicación -
    +- Se espera asistencia y participación activa, tanto a las sesiones lectivas como a las prácticas. Se pasará lista en todas las sesiones. No habrá penalización por inasistencia, pero si llevaremos registro principalmente con objetivos de monitoreo y retroalimentación del curso. +- Informar flexibilidades académicas al principio del semestre (en caso que la jefatura de carrera no lo haga de manera centralizada). Las flexibilidades academicas no aplican para cambios de fechas de evaluaciones grupales. -## Star Wars +- Se espera y enfatiza la participación activa por distintos canales disponibles. Estos son: + - contacto por correo con equipo docente del curso (profesor y apoyos docentes) + - espacio para resolver dudas individualmente al final de la clase + - reuniones con equipo docente, para lo cual se deben inscribir previamente en la página inicial de este sitio + - foros, disponibles tanto para las [clases](/content/foro-clases.qmd) como para los [prácticos](/assignment/foro-practicos.qmd). + +- También se enfatiza un trato respetuoso y horizontal. Quienes están tomando este curso serán referidos como participantes y/o estudiantes, evitar el uso de “l_s cabr_s” o “l_s chiquill_s”, que si bien puede intentar transmitir cercanía finalmente expresan minimización de la contraparte. Quien no se sienta tratad_ apropiadamente o vea que otr_s no lo están siendo, se solicita reportar para solucionar la situación. -Once you have read this entire syllabus and [the assignments page](/assignment/), please [click here](mailto:aheiss@gsu.edu) and e-mail me a picture of a *cute* Star Wars character.[^starwars] Brownie points if it's animated. +## Programación de sesiones -[^starwars]: Baby Yoda, Babu Frik, porgs, etc. are all super fair game. +Visitar la página de [Planificación](/schedule.html). -
    -Baby Yoda with IG-11 -